From dbecf184fc603a67d5d79113ec9ec671e5b1a451 Mon Sep 17 00:00:00 2001 From: eustomaqua Date: Sun, 27 Jul 2025 21:45:05 +0200 Subject: [PATCH 1/3] Re-initialization --- .circleci/config.yml | 124 + .coverage | 1 - .gitignore | 223 +- .readthedocs.yaml | 41 + Dockerfile | 7 + LICENSE | 21 + README.md | 28 +- data/bar_pass_prediction.csv | 22408 +++++++++++ data/baseline_adult.csv | 32562 ++++++++++++++++ data/baseline_german.csv | 1001 + data/baseline_german.txt | 177 + data/baseline_propublica-recidivism.csv | 7215 ++++ ...baseline_propublica-violent-recidivism.csv | 4744 +++ data/baseline_ricci.csv | 119 + data/baseline_ricci.txt | 65 + docs/Makefile | 20 + docs/conf.py | 49 + docs/index.rst | 28 + docs/make.bat | 35 + docs/posts/configuration.rst | 217 + docs/posts/quickstart.rst | 50 + docs/reqs.txt | 14 + pyfair/datasets.py | 573 + pyfair/datasets_test_excl.py | 114 + pyfair/dr_hfm/discriminative_risk.py | 475 + pyfair/dr_hfm/dist_drt.py | 137 + pyfair/dr_hfm/dist_drt_test.py | 95 + pyfair/dr_hfm/dist_est_bin.py | 324 + pyfair/dr_hfm/dist_est_nonbin.py | 235 + pyfair/dr_hfm/dist_est_test.py | 317 + pyfair/dr_hfm/dr_pareto_optimal.py | 881 + pyfair/dr_hfm/earlybreak.py | 137 + pyfair/dr_hfm/hfm_df.py | 66 + pyfair/dr_hfm/hfm_df_test.py | 100 + pyfair/facil/__init__.py | 44 + pyfair/facil/data_split.py | 570 + pyfair/facil/draw_prelim.py | 187 + pyfair/facil/ensem_voting.py | 185 + pyfair/facil/metric_cont.py | 215 + pyfair/facil/pkgs_pympler.py | 2972 ++ pyfair/facil/test_data_split.py | 204 + pyfair/facil/test_ensem.py | 83 + pyfair/facil/test_utils.py | 138 + pyfair/facil/utils_const.py | 241 + pyfair/facil/utils_remark.py | 323 + pyfair/facil/utils_saver.py | 74 + pyfair/facil/utils_timer.py | 221 + pyfair/granite/__init__.py | 2 + pyfair/granite/draw_addtl.py | 1562 + pyfair/granite/draw_chart.py | 800 + pyfair/granite/draw_graph.py | 1278 + pyfair/granite/ensem_diversity.py | 356 + pyfair/granite/ensem_prulatest.py | 1776 + pyfair/granite/ensem_pruning.py | 1894 + pyfair/granite/excl_test_diversity.py | 472 + pyfair/granite/excl_test_draw_addtl.py | 420 + pyfair/granite/excl_test_draw_chart.py | 138 + pyfair/granite/excl_test_draw_graph.py | 204 + pyfair/granite/excl_test_prulatest.py | 759 + pyfair/granite/excl_test_pruning.py | 846 + pyfair/granite/fair_meas_group.py | 688 + pyfair/granite/fair_meas_indiv.py | 257 + pyfair/granite/test_fair_measure.py | 360 + pyfair/marble/__init__.py | 40 + pyfair/marble/data_classify.py | 560 + pyfair/marble/data_distance.py | 186 + pyfair/marble/data_entropy.py | 457 + pyfair/marble/diver_nonpairwise.py | 299 + pyfair/marble/diver_pairwise.py | 386 + pyfair/marble/draw_hypos.py | 714 + pyfair/marble/metric_fair.py | 545 + pyfair/marble/metric_perf.py | 299 + pyfair/marble/test_data_classify.py | 105 + pyfair/marble/test_draw_hypos.py | 208 + pyfair/marble/test_ent_dist.py | 336 + pyfair/marble/test_metric.py | 375 + pyfair/preprocessing_dr.py | 220 + pyfair/preprocessing_hfm.py | 522 + reqs_py311.txt | 12 + requirements.txt | 17 +- setup.py | 29 +- .flake8 => tests/.flake8 | 0 .travis.yml => tests/.travis.yml | 0 tests/README.md | 10 + tests/ci.yaml | 32 + ...test_ensemble.py => excl_test_ensemble.py} | 0 .../{test_voting.py => excl_test_voting.py} | 0 ...onpairwise.py => excl_test_nonpairwise.py} | 0 .../{test_overall.py => excl_test_overall.py} | 0 ...test_pairwise.py => excl_test_pairwise.py} | 0 ...tils_diver.py => excl_test_utils_diver.py} | 0 ...diver_test.py => utils_diver_test_excl.py} | 0 tests/{test_common.py => excl_test_common.py} | 0 tests/{test_import.py => excl_test_import.py} | 0 ...tils_const.py => excl_test_utils_const.py} | 0 ..._composable.py => excl_test_composable.py} | 0 ...imization.py => excl_test_optimization.py} | 0 .../{test_overall.py => excl_test_overall.py} | 0 .../{test_ranking.py => excl_test_ranking.py} | 0 ...tils_inPEP.py => excl_test_utils_inPEP.py} | 0 ...tils_prune.py => excl_test_utils_prune.py} | 0 pytest.ini => tests/pytest.ini | 0 tests/requirements.txt | 5 + tests/setup.py | 221 + 104 files changed, 95415 insertions(+), 35 deletions(-) create mode 100644 .circleci/config.yml delete mode 100644 .coverage create mode 100644 .readthedocs.yaml create mode 100644 Dockerfile create mode 100644 LICENSE create mode 100644 data/bar_pass_prediction.csv create mode 100644 data/baseline_adult.csv create mode 100644 data/baseline_german.csv create mode 100644 data/baseline_german.txt create mode 100644 data/baseline_propublica-recidivism.csv create mode 100644 data/baseline_propublica-violent-recidivism.csv create mode 100644 data/baseline_ricci.csv create mode 100644 data/baseline_ricci.txt create mode 100644 docs/Makefile create mode 100644 docs/conf.py create mode 100644 docs/index.rst create mode 100644 docs/make.bat create mode 100644 docs/posts/configuration.rst create mode 100644 docs/posts/quickstart.rst create mode 100644 docs/reqs.txt create mode 100644 pyfair/datasets.py create mode 100644 pyfair/datasets_test_excl.py create mode 100644 pyfair/dr_hfm/discriminative_risk.py create mode 100644 pyfair/dr_hfm/dist_drt.py create mode 100644 pyfair/dr_hfm/dist_drt_test.py create mode 100644 pyfair/dr_hfm/dist_est_bin.py create mode 100644 pyfair/dr_hfm/dist_est_nonbin.py create mode 100644 pyfair/dr_hfm/dist_est_test.py create mode 100644 pyfair/dr_hfm/dr_pareto_optimal.py create mode 100644 pyfair/dr_hfm/earlybreak.py create mode 100644 pyfair/dr_hfm/hfm_df.py create mode 100644 pyfair/dr_hfm/hfm_df_test.py create mode 100644 pyfair/facil/__init__.py create mode 100644 pyfair/facil/data_split.py create mode 100644 pyfair/facil/draw_prelim.py create mode 100644 pyfair/facil/ensem_voting.py create mode 100644 pyfair/facil/metric_cont.py create mode 100644 pyfair/facil/pkgs_pympler.py create mode 100644 pyfair/facil/test_data_split.py create mode 100644 pyfair/facil/test_ensem.py create mode 100644 pyfair/facil/test_utils.py create mode 100644 pyfair/facil/utils_const.py create mode 100644 pyfair/facil/utils_remark.py create mode 100644 pyfair/facil/utils_saver.py create mode 100644 pyfair/facil/utils_timer.py create mode 100644 pyfair/granite/__init__.py create mode 100644 pyfair/granite/draw_addtl.py create mode 100644 pyfair/granite/draw_chart.py create mode 100644 pyfair/granite/draw_graph.py create mode 100644 pyfair/granite/ensem_diversity.py create mode 100644 pyfair/granite/ensem_prulatest.py create mode 100644 pyfair/granite/ensem_pruning.py create mode 100644 pyfair/granite/excl_test_diversity.py create mode 100644 pyfair/granite/excl_test_draw_addtl.py create mode 100644 pyfair/granite/excl_test_draw_chart.py create mode 100644 pyfair/granite/excl_test_draw_graph.py create mode 100644 pyfair/granite/excl_test_prulatest.py create mode 100644 pyfair/granite/excl_test_pruning.py create mode 100644 pyfair/granite/fair_meas_group.py create mode 100644 pyfair/granite/fair_meas_indiv.py create mode 100644 pyfair/granite/test_fair_measure.py create mode 100644 pyfair/marble/__init__.py create mode 100644 pyfair/marble/data_classify.py create mode 100644 pyfair/marble/data_distance.py create mode 100644 pyfair/marble/data_entropy.py create mode 100644 pyfair/marble/diver_nonpairwise.py create mode 100644 pyfair/marble/diver_pairwise.py create mode 100644 pyfair/marble/draw_hypos.py create mode 100644 pyfair/marble/metric_fair.py create mode 100644 pyfair/marble/metric_perf.py create mode 100644 pyfair/marble/test_data_classify.py create mode 100644 pyfair/marble/test_draw_hypos.py create mode 100644 pyfair/marble/test_ent_dist.py create mode 100644 pyfair/marble/test_metric.py create mode 100644 pyfair/preprocessing_dr.py create mode 100644 pyfair/preprocessing_hfm.py create mode 100644 reqs_py311.txt rename .flake8 => tests/.flake8 (100%) rename .travis.yml => tests/.travis.yml (100%) create mode 100644 tests/README.md create mode 100644 tests/ci.yaml rename tests/classify/{test_ensemble.py => excl_test_ensemble.py} (100%) rename tests/classify/{test_voting.py => excl_test_voting.py} (100%) rename tests/diversity/{test_nonpairwise.py => excl_test_nonpairwise.py} (100%) rename tests/diversity/{test_overall.py => excl_test_overall.py} (100%) rename tests/diversity/{test_pairwise.py => excl_test_pairwise.py} (100%) rename tests/diversity/{test_utils_diver.py => excl_test_utils_diver.py} (100%) rename tests/diversity/{utils_diver_test.py => utils_diver_test_excl.py} (100%) rename tests/{test_common.py => excl_test_common.py} (100%) rename tests/{test_import.py => excl_test_import.py} (100%) rename tests/{test_utils_const.py => excl_test_utils_const.py} (100%) rename tests/pruning/{test_composable.py => excl_test_composable.py} (100%) rename tests/pruning/{test_optimization.py => excl_test_optimization.py} (100%) rename tests/pruning/{test_overall.py => excl_test_overall.py} (100%) rename tests/pruning/{test_ranking.py => excl_test_ranking.py} (100%) rename tests/pruning/{test_utils_inPEP.py => excl_test_utils_inPEP.py} (100%) rename tests/pruning/{test_utils_prune.py => excl_test_utils_prune.py} (100%) rename pytest.ini => tests/pytest.ini (100%) create mode 100644 tests/requirements.txt create mode 100644 tests/setup.py diff --git a/.circleci/config.yml b/.circleci/config.yml new file mode 100644 index 0000000..7bbdf10 --- /dev/null +++ b/.circleci/config.yml @@ -0,0 +1,124 @@ +# Python CircleCI 2.1 configuration file +# Check https://circleci.com/docs/2.1/language-python/ for more details +# +# https://coveralls.io/github/eustomaqua/PyFairness +# https://circleci.com/developer/orbs/orb/coveralls/coveralls +# https://docs.codacy.com/coverage-reporter/#generating-coverage +# +version: 2.1 + +# Aliases to reuse +_defaults: &defaults + docker: + # CircleCI maintains a library of pre-built images + # documented at https://circleci.com/developer/images/image/cimg/python + - image: cimg/python:3.11.8 + # - image: cimg/python:3.12 + working_directory: ~/project + + +jobs: + build-and-test: + <<: *defaults + steps: + - checkout + + - run: + name: Run tests + command: | + pip install --upgrade setuptools pip + pip install -r requirements.txt + pip install carbontracker pytest + pip install coverage coveralls pytest-xdist + coverage run -m pytest --ignore-glob="*/excl_test_*,*/*excl.py,*/pkgs*" + coverage report + coverage html + # rm *.png && rm *.csv && rm *.log + coverage xml + export CODACY_PROJECT_TOKEN=c3b63ca4c921490eb82dfd6f7afa2b98 + bash <(curl -Ls https://coverage.codacy.com/get.sh) report -r coverage.xml + # bash <(curl -Ls https://coverage.codacy.com/get.sh) + # python -m pytest fairml/facils/excl_test* + # rm chart*.pdf && rm cheers*.pdf && rm fairgbm*.pdf + # export CODACY_PROJECT_TOKEN=e5364f1287c94650b2575c849d47c40a + # export CODECOV_TOKEN=c7609124-b53c-4019-a893-cec9f98cfe97 + # export COVERALLS_REPO_TOKEN=vVh9U1eIjWuYcPfvpPaNif7kL8rJA6iRZ + + - persist_to_workspace: + root: ~/project + paths: + - . + +workflows: + version: 2 + default: + jobs: + - build-and-test + +# orbs: +# coveralls: coveralls/coveralls@2.2.5 +# orbs: +# codecov: codecov/codecov@5 +# workflows: +# upload-to-codecov: +# jobs: +# - checkout +# - codecov/upload + +# - name: Upload coverage reports to Codecov +# uses: codecov/codecov-action@v5 +# with: +# token: ${{ secrets.CODECOV_TOKEN }} +# - name: Upload coverage reports to Coveralls +# uses: coveralls/coveralls@2.2.5 +# with: +# token: ${{ secrets.COVERALLS_REPO_TOKEN }} + + + + +# # Use the latest 2.1 version of CircleCI pipeline process engine. +# # See: https://circleci.com/docs/configuration-reference +# +# # For a detailed guide to building and testing with Python, read the docs: +# # https://circleci.com/docs/language-python/ for more details +# version: 2.1 +# +# # Orbs are reusable packages of CircleCI configuration that you may share across projects, enabling you to create encapsulated, parameterized commands, jobs, and executors that can be used across multiple projects. +# # See: https://circleci.com/docs/orb-intro/ +# orbs: +# # See the Python orb documentation here: https://circleci.com/developer/orbs/orb/circleci/python +# python: circleci/python@2.1.1 +# +# # Define a job to be invoked later in a workflow. +# # See: https://circleci.com/docs/jobs-steps/#jobs-overview & https://circleci.com/docs/configuration-reference/#jobs +# jobs: +# build-and-test: +# # Specify the execution environment. You can specify an image from Docker Hub or use one of our convenience images from CircleCI's Developer Hub. +# # See: https://circleci.com/docs/executor-intro/ & https://circleci.com/docs/configuration-reference/#executor-job +# docker: +# # Specify the version you desire here +# # See:https://circleci.com/developer/images/image/cimg/python +# - image: cimg/python:3.12 +# +# # Add steps to the job +# # See: https://circleci.com/docs/jobs-steps/#steps-overview & https://circleci.com/docs/configuration-reference/#steps +# steps: +# # Checkout the code as the first step. +# - checkout +# - python/install-packages: +# pkg-manager: pip +# # app-dir: ~/project/package-directory/ # If your requirements.txt isn't in the root directory. +# # pip-dependency-file: test-requirements.txt # if you have a different name for your requirements file, maybe one that combines your runtime and test requirements. +# - run: +# name: Run tests +# # This assumes pytest is installed via the install-package step above +# command: pytest +# +# # Orchestrate jobs using workflows +# # See: https://circleci.com/docs/workflows/ & https://circleci.com/docs/configuration-reference/#workflows +# workflows: +# sample: # This is the name of the workflow, feel free to change it to better match your workflow. +# # Inside the workflow, you define the jobs you want to run. +# jobs: +# - build-and-test diff --git a/.coverage b/.coverage deleted file mode 100644 index 8ea4b6c..0000000 --- a/.coverage +++ /dev/null @@ -1 +0,0 @@ -!coverage.py: This is a private format, don't read it directly!{"lines":{"/Users/kathyhappy/Documents/Forks/PyEnsemble/pyensemble/__init__.py":[4,5,6,9,10,11,13,19],"/Users/kathyhappy/Documents/Forks/PyEnsemble/pyensemble/diversity/__init__.py":[3,4,5],"/Users/kathyhappy/Documents/Forks/PyEnsemble/pyensemble/diversity/utils_diver.py":[4,5,6,10,13,25,46,63,26,29,31,32,33,38,39,40,41,43,35,36,47,48,49,52,53,54,55,57,64,65,66,67],"/Users/kathyhappy/Documents/Forks/PyEnsemble/pyensemble/utils_const.py":[5,6,7,10,11,12,14,16,17,18,20,23],"/Users/kathyhappy/Documents/Forks/PyEnsemble/pyensemble/classify/__init__.py":[],"/Users/kathyhappy/Documents/Forks/PyEnsemble/pyensemble/datasets/__init__.py":[],"/Users/kathyhappy/Documents/Forks/PyEnsemble/pyensemble/pruning/__init__.py":[]}} \ No newline at end of file diff --git a/.gitignore b/.gitignore index 1fee82a..98773e7 100644 --- a/.gitignore +++ b/.gitignore @@ -1,16 +1,219 @@ -# ignore files -.DS_Store -*/.DS_Store +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[codz] +*$py.class -# ignore folders +*.DS_Store +*.pdf +# .DS_Store # ignore files +# */.DS_Store +# */__pycache__/ # ignore folders .idea/ .vscode/ -.pytest_cache/ +# Codacy, Coverage +# coverage.xml +# htmlcov/ -# Byte-compiled / optimized / DLL files -__pycache__/ -*/__pycache__/ -# Codacy, Coverage -coverage.xml +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py.cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# UV +# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +#uv.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock +#poetry.toml + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python. +# https://pdm-project.org/en/latest/usage/project/#working-with-version-control +#pdm.lock +#pdm.toml +.pdm-python +.pdm-build/ + +# pixi +# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control. +#pixi.lock +# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one +# in the .venv directory. It is recommended not to include this directory in version control. +.pixi + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.envrc +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# Abstra +# Abstra is an AI-powered process automation framework. +# Ignore directories containing user credentials, local state, and settings. +# Learn more at https://abstra.io/docs +.abstra/ + +# Visual Studio Code +# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore +# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore +# and can be added to the global gitignore or merged into this file. However, if you prefer, +# you could uncomment the following to ignore the entire vscode folder +# .vscode/ + +# Ruff stuff: +.ruff_cache/ + +# PyPI configuration file +.pypirc + +# Cursor +# Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to +# exclude from AI features like autocomplete and code analysis. Recommended for sensitive data +# refer to https://docs.cursor.com/context/ignore-files +.cursorignore +.cursorindexingignore + +# Marimo +marimo/_static/ +marimo/_lsp/ +__marimo__/ diff --git a/.readthedocs.yaml b/.readthedocs.yaml new file mode 100644 index 0000000..b0158e5 --- /dev/null +++ b/.readthedocs.yaml @@ -0,0 +1,41 @@ +# .readthedocs.yaml +# Read the Docs configuration file +# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details + +# Required +version: 2 + +# Set the OS, Python version and other tools you might need +build: + os: ubuntu-24.04 + tools: + python: "3.13" + # You can also specify other tool versions: + # nodejs: "23" + # rust: "1.82" + # golang: "1.23" + +# Build documentation in the "docs/" directory with Sphinx +sphinx: + configuration: docs/conf.py + +# Optionally build your docs in additional formats such as PDF and ePub +# formats: +# - pdf +# - epub + +# Optional but recommended, declare the Python requirements required +# to build your documentation +# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html +python: + install: + - requirements: docs/reqs.txt + # - requirements: docs/requirements.txt + + +# Optionally, but recommended, +# declare the Python requirements required to build your documentation +# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html +# python: +# install: +# - requirements: docs/requirements.txt diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..7f2a037 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,7 @@ +# Set up the base image +FROM --platform=linux/amd64 ubuntu:latest + +# To install Miniconda +RUN apt-get update && apt-get install -y wget +RUN apt-get update && apt-get install -y vim +RUN apt-get update && apt-get install -y git diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..089f954 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 eustomaqua + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md index 71cc0c3..f2bfd8c 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,24 @@ -# PyEnsemble +# PyFairness -[![Build Status](https://travis-ci.org/eustomaqua/PyEnsemble.svg?branch=master)](https://travis-ci.org/eustomaqua/PyEnsemble) -[![Coverage Status](https://coveralls.io/repos/github/eustomaqua/PyEnsemble/badge.svg?branch=master)](https://coveralls.io/github/eustomaqua/PyEnsemble?branch=master) -[![codecov](https://codecov.io/gh/eustomaqua/PyEnsemble/branch/master/graph/badge.svg)](https://codecov.io/gh/eustomaqua/PyEnsemble) -[![Codacy Badge](https://api.codacy.com/project/badge/Grade/2337de0ee40847ecbd99aac71d2561e4)](https://www.codacy.com/manual/eustomaqua/PyEnsemble?utm_source=github.com&utm_medium=referral&utm_content=eustomaqua/PyEnsemble&utm_campaign=Badge_Grade) + -This package could work well with *Python 2.7, Python 3.5,* and *Python 3.6* currently. \ No newline at end of file + +![CircleCI](https://img.shields.io/circleci/build/github/eustomaqua/PyEnsemble/master) +[![Documentation Status](https://readthedocs.org/projects/pyensemble/badge/?version=latest)](https://pyensemble.readthedocs.io/en/latest/?badge=latest) +[![Codacy Badge](https://app.codacy.com/project/badge/Coverage/bf14ce14d2df4412a91e80d94fee6931)](https://app.codacy.com/gh/eustomaqua/PyFairness/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage) +[![Codacy Badge](https://app.codacy.com/project/badge/Grade/bf14ce14d2df4412a91e80d94fee6931)](https://app.codacy.com/gh/eustomaqua/PyFairness/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) + + + + +This is an open-source library for **Fairness** measures as well as **Ensemble Learning** methods, Diversity measures, and Ensemble Pruning methods. diff --git a/data/bar_pass_prediction.csv b/data/bar_pass_prediction.csv new file mode 100644 index 0000000..ab17c30 --- /dev/null +++ b/data/bar_pass_prediction.csv @@ -0,0 +1,22408 @@ +decile1b,decile3,ID,decile1,sex,race,cluster,lsat,ugpa,zfygpa,DOB_yr,grad,zgpa,bar1,bar1_yr,bar2,bar2_yr,fulltime,fam_inc,age,gender,parttime,male,race1,race2,Dropout,other,asian,black,hisp,pass_bar,bar,bar_passed,tier,index6040,indxgrp,indxgrp2,dnn_bar_pass_prediction,gpa +10,10,2,10,1,7,1,44,3.5,1.33,69,Y,1.88,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +5,4,3,5,1,7,2,29,3.5,-0.11,69,Y,-0.57,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +3,2,36,3,2,7,3,36,3.5,-0.64,65,Y,-1.12,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,4,52,7,2,7,3,39,3.5,0.34,58,Y,-0.49,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,8,55,9,2,7,4,48,3.5,1.02,68,Y,0.76,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +3,5,72,3,1,7,3,40,3.5,-0.64,68,Y,-0.12,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +9,7,74,9,1,7,3,34,3.5,0.96,69,Y,0.45,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +10,10,89,10,2,7,3,40,3.5,1.34,55,Y,1.41,P,7,P,95,2,2,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +4,2,109,4,2,7,4,40,3.5,-0.44,68,Y,-1.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +7,5,143,7,1,4,6,28,3.5,0.48,69,Y,-0.04,F,7,F,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,634.210514,e 580-640,e 580-640,0.9798045,3.5 +2,2,144,3,1,7,2,33,3.5,-0.84,67,Y,-1.19,F,2,F,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,5,146,6,1,7,1,36,3.5,0.09,69,Y,-0.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +5,4,158,5,2,7,3,34,3.5,-0.07,69,Y,-0.38,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,7,160,7,1,7,3,31,3.5,0.3,69,Y,0.34,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +6,6,174,6,2,7,1,42,3.5,0.09,68,Y,0.08,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +4,3,202,5,1,7,3,34,3.5,-0.2,70,Y,-0.57,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,6,208,6,2,2,4,39,3.5,0.23,69,Y,0.11,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,3,213,5,1,7,4,33,3.5,-0.08,69,Y,-0.6,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,5,231,5,1,7,1,44,3.5,-0.15,61,Y,-0.03,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +,,268,,1,7,3,39,3.5,,61,Y,,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +3,6,269,3,1,7,3,32,3.5,-0.56,69,Y,-0.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +1,1,319,1,1,7,3,30,3.5,-1.32,69,Y,-1.51,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +5,5,326,5,1,7,1,36,3.5,-0.12,66,Y,-0.06,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,7,328,8,1,7,3,38,3.5,0.55,68,Y,0.46,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,9,337,10,2,7,3,35,3.5,1.26,68,Y,0.98,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,8,350,8,1,7,2,31,3.5,0.61,66,Y,0.7,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +3,4,377,3,2,7,5,47,3.5,-0.6,69,Y,-0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +7,5,381,8,1,7,3,40,3.5,0.53,69,Y,-0.11,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +7,7,388,7,1,7,2,30,3.5,0.3,68,Y,0.23,F,7,P,96,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,665.78946,f 640-700,f 640-700,0.9798045,3.5 +10,10,389,10,2,7,3,34,3.5,1.75,51,Y,3.15,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,5,392,3,2,7,1,39,3.5,-0.81,56,Y,-0.07,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,7,393,9,2,7,5,48,3.5,1.26,70,Y,0.37,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +6,4,401,6,2,7,1,37,3.5,0.23,68,Y,-0.53,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,7,410,6,1,7,1,39,3.5,0.19,69,Y,0.45,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +3,3,445,4,1,7,3,33,3.5,-0.48,69,Y,-0.76,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,8,462,6,2,7,1,45,3.5,0.23,67,Y,0.62,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +10,9,478,10,1,7,3,36,3.5,1.54,65,Y,1.22,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,482,10,2,7,4,44,3.5,2.65,67,Y,1.73,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +1,1,485,1,2,7,3,30.5,3.5,-1.99,69,Y,-2.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +10,10,491,10,2,7,1,40,3.5,2.17,55,Y,2.27,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +7,9,493,7,1,7,4,48,3.5,0.4,69,Y,0.87,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +6,5,536,6,1,7,4,39,3.5,0.1,58,Y,-0.06,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,10,580,9,1,7,3,31,3.5,1.21,54,Y,1.49,P,7,P,95,2,3,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +7,8,586,8,2,7,4,33.5,3.5,0.55,69,Y,0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,721.0526155,g 700+,g 700-760,0.9798045,3.5 +9,10,599,10,1,7,3,31,3.5,1.26,68,Y,1.6,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +2,3,602,2,2,7,3,32,3.5,-0.86,69,Y,-0.65,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +3,3,610,3,2,7,4,38,3.5,-0.56,66,Y,-0.83,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,10,626,8,1,7,3,30,3.5,0.53,69,Y,1.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +10,9,634,10,2,7,3,37,3.5,1.51,68,Y,1.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +4,4,642,4,1,7,4,32,3.5,-0.32,67,Y,-0.31,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,647,9,1,7,4,34,3.5,0.92,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,6,657,6,2,7,1,35,3.5,0.26,65,Y,0.26,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,10,692,9,1,7,3,44,3.5,1.14,67,Y,1.34,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,886.842082,g 700+,i 820+,0.9798045,3.5 +8,8,694,8,2,7,4,30.5,3.5,0.79,67,Y,0.64,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +1,2,726,1,1,7,1,32,3.5,-1.44,61,Y,-0.93,F,7,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,10,727,10,1,7,1,37,3.5,1.65,70,Y,1.68,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,3,735,2,1,7,3,28,3.5,-1.21,68,Y,-0.87,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +10,10,744,10,2,7,1,39,3.5,1.84,66,Y,1.89,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,9,793,9,2,7,2,35,3.5,0.81,66,Y,1.33,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,1,795,2,1,3,4,37,3.5,-0.83,70,Y,-1.76,P,2,P,94,1,4,-68,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,3,807,3,2,7,5,46,3.5,-0.6,67,Y,-0.7,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +2,3,812,2,2,7,4,39,3.5,-0.99,66,Y,-0.73,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,823,,2,7,2,33,3.5,,69,Y,,F,7,F,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,7,842,6,1,7,1,43,3.5,0.06,51,Y,0.3,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +8,8,847,9,1,7,3,34,3.5,0.84,69,Y,0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,6,862,8,1,7,3,33,3.5,0.58,68,Y,0.15,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,879,10,1,7,3,43,3.5,2,62,Y,1.97,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,871.052609,g 700+,i 820+,0.9798045,3.5 +4,6,888,4,1,7,5,41,3.5,-0.28,66,Y,0.25,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +,,894,4,1,7,3,40,3.5,-0.25,64,Y,,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +8,6,918,8,1,7,3,33,3.5,0.58,61,Y,0.05,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,6,920,7,2,7,2,35,3.5,0.27,67,Y,0.06,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,5,967,5,1,7,1,42,3.5,-0.11,68,Y,-0.1,P,7,P,94,1,1,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +7,7,1006,7,2,2,1,36,3.5,0.36,65,Y,0.52,P,7,P,94,1,2,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,4,1018,2,1,7,4,46,3.5,-1.16,54,Y,-0.51,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +10,10,1054,10,1,7,3,38,3.5,1.61,68,Y,1.68,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +,,1081,7,1,7,3,36,3.5,0.3,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,4,1091,2,2,7,2,35,3.5,-0.98,68,Y,-0.46,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,4,1143,5,2,7,3,37,3.5,-0.1,66,Y,-0.33,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,7,1145,7,1,7,1,37.7,3.5,0.46,62,Y,0.51,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.3684021,g 700+,h 760-820,0.9798045,3.5 +6,4,1147,6,2,7,4,43,3.5,0.23,68,Y,-0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +6,6,1161,6,2,4,4,31,3.5,0.05,70,Y,0.18,P,7,P,94,1,3,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,681.578933,f 640-700,f 640-700,0.9798045,3.5 +5,6,1178,5,1,7,1,42,3.5,-0.02,54,Y,0.14,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +4,7,1189,5,2,7,3,35,3.5,-0.22,55,Y,0.41,F,7,P,96,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,10,1191,9,2,7,4,43.5,3.5,1.19,69,Y,1.31,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,878.9473455,g 700+,i 820+,0.9798045,3.5 +6,7,1194,6,2,7,2,29,3.5,0.16,69,Y,0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +5,4,1200,6,1,7,1,38,3.5,0.05,49,Y,-0.35,P,7,P,94,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,7,1211,6,2,7,3,37,3.5,0.24,69,Y,0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,6,1253,8,2,7,3,40,3.5,0.54,62,Y,0.08,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +2,4,1280,2,2,7,5,44,3.5,-0.95,69,Y,-0.39,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +2,1,1300,2,2,7,1,43,3.5,-1.06,67,Y,-1.49,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +1,1,1343,1,2,3,4,37,3.5,-1.63,68,Y,-1.47,F,7,P,95,1,,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,9,1348,10,2,7,3,38,3.5,1.32,66,Y,0.98,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,6,1390,7,1,7,1,41,3.5,0.35,70,Y,0.03,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +6,9,1397,6,2,7,3,45,3.5,0.15,56,Y,0.95,F,7,F,94,1,2,-49,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,902.631555,g 700+,i 820+,0.9798045,3.5 +6,5,1399,7,2,7,3,32.5,3.5,0.28,68,Y,-0.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.2631425,g 700+,g 700-760,0.9798045,3.5 +5,5,1409,5,2,7,1,35,3.5,-0.07,69,Y,-0.12,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,1427,,1,7,6,29,3.5,,66,Y,,F,7,F,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,649.999987,f 640-700,f 640-700,0.9798045,3.5 +3,5,1460,3,1,7,1,32,3.5,-0.58,64,Y,-0.07,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +5,5,1462,6,1,7,3,39,3.5,0.02,69,Y,-0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,3,1466,6,2,7,4,40,3.5,0.14,61,Y,-0.79,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +1,1,1525,1,2,7,5,45,3.5,-1.58,68,Y,-1.89,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +8,9,1527,8,1,7,1,35,3.5,0.86,64,Y,1.03,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,4,1562,6,2,7,3,29,3.5,0.05,68,Y,-0.42,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +4,4,1566,4,2,7,4,46,3.5,-0.45,69,Y,-0.37,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +4,4,1581,4,1,7,1,44,3.5,-0.24,69,Y,-0.34,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +3,6,1583,3,1,7,1,40,3.5,-0.53,68,Y,0.13,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +6,9,1593,6,1,7,3,42,3.5,0.24,69,Y,1.29,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +9,9,1596,9,1,7,1,32,3.5,0.96,69,Y,1.06,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +3,3,1621,3,1,7,4,43,3.5,-0.66,69,Y,-0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +4,2,1625,4,1,7,3,30.5,3.5,-0.41,68,Y,-0.93,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +10,10,1634,10,1,7,3,35,3.5,1.43,60,Y,1.53,P,7,P,95,1,1,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +4,3,1636,4,2,7,3,34,3.5,-0.41,69,Y,-0.65,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,5,1678,6,1,7,1,38,3.5,0.09,69,Y,-0.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,6,1698,4,1,7,4,33,3.5,-0.38,70,Y,0.17,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,6,1729,5,2,7,4,36,3.5,-0.06,65,Y,0.16,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,9,1738,9,2,7,4,41,3.5,1,68,Y,1.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +8,9,1743,8,2,7,1,43,3.5,0.71,68,Y,0.91,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +8,10,1746,8,1,7,3,40,3.5,0.69,60,Y,1.47,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +6,8,1792,6,2,3,6,23.3,3.5,0.21,68,Y,0.5,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,559.9999909,d 520-580,d 520-580,0.9798045,3.5 +9,6,1812,9,1,7,4,42,3.5,1,69,Y,0.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,1825,10,2,7,4,47,3.5,1.87,62,Y,1.68,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +7,6,1873,8,2,7,1,43,3.5,0.61,69,Y,0.07,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +,,1874,,1,7,1,34,3.5,,59,Y,,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,3,1876,3,2,7,3,30,3.5,-0.64,70,Y,-0.84,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +10,9,1888,10,1,7,3,38,3.5,1.4,69,Y,1.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,3,1894,2,2,7,5,44,3.5,-1.07,62,Y,-0.78,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +3,3,1897,3,2,7,5,43,3.5,-0.6,69,Y,-0.57,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +4,4,1901,4,2,7,3,45,3.5,-0.38,68,Y,-0.35,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,902.631555,g 700+,i 820+,0.9798045,3.5 +,,1915,,2,7,5,33,3.5,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,3,1955,5,2,7,3,38,3.5,-0.07,51,Y,-0.62,P,2,P,95,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,7,1964,8,1,7,3,41,3.5,0.58,69,Y,0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +2,4,1995,2,2,7,1,37,3.5,-0.82,68,Y,-0.52,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +4,3,2000,4,1,7,1,25,3.5,-0.26,62,Y,-0.77,F,2,F,95,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,586.842095,e 580-640,e 580-640,0.9798045,3.5 +4,4,2004,5,1,4,1,40,3.5,-0.22,69,Y,-0.37,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +5,6,2007,5,1,7,1,40,3.5,0.04,67,Y,0.16,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +2,2,2012,2,2,7,1,33,3.5,-0.95,68,Y,-1.09,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,2022,3,2,7,5,48,3.5,-0.61,69,Y,,F,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +,,2032,9,1,7,4,34,3.5,1.19,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,9,2035,8,1,7,4,31.5,3.5,0.6,66,Y,1.03,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +3,4,2036,3,1,7,4,33,3.5,-0.57,69,Y,-0.36,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,2039,10,2,7,3,43,3.5,2.32,67,Y,2.33,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,871.052609,g 700+,i 820+,0.9798045,3.5 +7,8,2051,7,1,7,3,39,3.5,0.39,66,Y,0.61,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,8,2089,7,2,7,4,43,3.5,0.46,69,Y,0.58,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +4,6,2118,4,1,7,4,39,3.5,-0.41,56,Y,0.02,P,7,P,94,1,2,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,6,2128,8,2,7,5,44,3.5,0.64,69,Y,0.22,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +3,3,2159,4,2,7,2,32,3.5,-0.47,69,Y,-0.66,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,697.368406,f 640-700,f 640-700,0.9798045,3.5 +9,10,2176,9,1,7,2,35,3.5,1,68,Y,1.55,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,2184,5,2,2,5,39.5,3.5,-0.09,69,Y,,P,7,P,95,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,815.7894535,g 700+,h 760-820,0.9798045,3.5 +7,7,2200,7,1,7,5,42,3.5,0.53,69,Y,0.54,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +5,3,2211,5,1,6,1,33,3.5,-0.14,69,Y,-0.66,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,4,2236,4,1,7,1,26,3.5,-0.24,68,Y,-0.36,F,7,P,95,1,1,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,602.631568,e 580-640,e 580-640,0.9798045,3.5 +2,2,2238,2,1,7,1,39,3.5,-1.11,49,Y,-0.92,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,10,2260,10,1,7,4,35.5,3.5,1.61,69,Y,1.36,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.6315615,g 700+,g 700-760,0.9798045,3.5 +8,6,2278,8,2,7,1,33,3.5,0.66,68,Y,0.14,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,2296,4,2,7,5,41,3.5,-0.23,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +10,10,2308,10,1,7,2,42,3.5,2.07,66,Y,2.5,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,855.263136,g 700+,i 820+,0.9798045,3.5 +,,2356,,1,7,5,45,3.5,,65,Y,,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +7,8,2360,8,2,3,6,32,3.5,0.59,70,Y,0.58,P,7,P,94,1,2,-63,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,697.368406,f 640-700,f 640-700,0.9798045,3.5 +3,3,2372,4,2,7,1,37,3.5,-0.49,60,Y,-0.6,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,6,2383,5,2,7,3,38,3.5,-0.11,67,Y,0.06,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,5,2386,2,1,7,3,42,3.5,-0.84,67,Y,-0.28,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +9,10,2394,9,2,7,6,40,3.5,1.22,66,Y,1.52,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,823.68419,g 700+,i 820+,0.9798045,3.5 +8,4,2455,8,1,7,4,28,3.5,0.66,69,Y,-0.41,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,634.210514,e 580-640,e 580-640,0.9798045,3.5 +8,7,2469,8,2,7,1,42,3.5,0.81,59,Y,0.55,P,,P,,1,2,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +3,3,2490,3,2,7,5,45,3.5,-0.73,52,Y,-0.83,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +5,4,2492,5,1,7,3,35,3.5,-0.12,69,Y,-0.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,4,2511,5,2,7,1,39,3.5,-0.08,67,Y,-0.3,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,9,2524,7,2,7,4,39,3.5,0.52,59,Y,0.86,P,7,P,95,2,2,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,2535,,2,7,5,38,3.5,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,4,2550,4,1,7,4,39,3.5,-0.44,69,Y,-0.44,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,8,2553,7,1,7,4,39,3.5,0.31,68,Y,0.54,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,2,2561,4,2,7,1,39,3.5,-0.39,51,Y,-1.31,F,7,F,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,5,2575,7,1,7,1,34,3.5,0.34,68,Y,-0.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +1,3,2577,1,2,7,5,46,3.5,-1.33,66,Y,-0.67,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +5,6,2595,6,1,7,3,45,3.5,0,69,Y,0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,902.631555,g 700+,i 820+,0.9798045,3.5 +2,1,2598,2,1,2,4,41,3.5,-1.1,69,Y,-1.61,F,7,P,95,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +3,5,2602,3,2,7,2,32,3.5,-0.58,61,Y,-0.2,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,10,2606,10,1,7,1,37,3.5,1.36,69,Y,1.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,8,2626,8,1,7,4,42,3.5,0.69,69,Y,0.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +9,7,2628,9,2,7,3,29,3.5,0.94,67,Y,0.38,P,6,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +5,5,2630,6,2,7,3,34,3.5,0.05,69,Y,-0.05,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +10,10,2633,10,2,7,3,40,3.5,1.49,68,Y,1.57,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +1,1,2634,1,1,7,1,41,3.5,-1.64,69,Y,-1.44,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +9,10,2686,9,2,7,5,44,3.5,1.37,68,Y,1.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +,,2703,,2,,1,45,3.5,0.72,70,Y,0.95,P,7,P,94,1,,-63,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +6,4,2704,6,2,7,1,36,3.5,0.22,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,2725,10,2,7,3,31,3.5,1.35,66,Y,1.81,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +2,3,2731,2,1,3,4,32.5,3.5,-0.84,67,Y,-0.61,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,705.2631425,g 700+,g 700-760,0.9798045,3.5 +4,6,2754,4,2,7,4,40,3.5,-0.28,70,Y,0.14,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +7,6,2783,7,1,7,3,36,3.5,0.34,69,Y,0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,8,2785,5,2,7,1,41,3.5,-0.17,51,Y,0.65,P,2,P,95,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +7,8,2812,8,1,7,3,33,3.5,0.54,69,Y,0.87,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,4,2833,5,1,7,3,32,3.5,-0.07,68,Y,-0.34,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +7,9,2841,7,2,7,4,44,3.5,0.49,67,Y,0.98,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +5,7,2851,5,1,7,4,42,3.5,-0.02,68,Y,0.44,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +9,8,2863,9,1,7,3,39,3.5,1.24,69,Y,0.59,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,5,2871,5,1,7,1,48,3.5,-0.19,68,Y,-0.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +9,7,2874,9,2,7,1,42,3.5,1.07,69,Y,0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +7,7,2891,7,2,7,1,38,3.5,0.56,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,9,2934,8,1,7,5,39,3.5,0.86,60,Y,0.99,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,10,2937,10,2,7,5,42,3.5,1.78,65,Y,2.14,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +5,4,2944,5,1,2,5,46,3.5,-0.12,67,Y,-0.45,P,7,P,95,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +7,7,2952,7,2,7,4,41,3.5,0.4,61,Y,0.28,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +9,8,2973,9,2,7,1,39,3.5,1.08,65,Y,0.64,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,8,2974,9,1,7,3,32,3.5,1.12,68,Y,0.72,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,2999,2,2,7,5,42,3.5,-1.12,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +3,4,3005,3,1,7,4,40,3.5,-0.63,64,Y,-0.45,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +9,9,3015,9,1,7,3,42,3.5,1.09,63,Y,0.95,P,7,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +8,8,3016,8,2,7,4,40.5,3.5,0.58,68,Y,0.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.5789265,g 700+,i 820+,0.9798045,3.5 +6,3,3028,6,2,7,1,41,3.5,0.25,68,Y,-0.57,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +7,4,3049,7,2,7,3,38,3.5,0.38,69,Y,-0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,6,3062,5,1,7,3,33,3.5,-0.13,57,Y,-0.01,P,2,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,7,3082,4,2,7,1,37,3.5,-0.33,68,Y,0.42,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,3110,9,1,7,4,41,3.5,0.92,67,Y,0.86,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +5,5,3114,6,1,7,1,37,3.5,0.06,65,Y,-0.02,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,3,3127,7,1,7,3,39.5,3.5,0.37,68,Y,-0.65,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.7894535,g 700+,h 760-820,0.9798045,3.5 +4,6,3198,4,1,7,1,39,3.5,-0.24,56,Y,0.22,P,2,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +3,2,3220,3,2,7,3,33,3.5,-0.55,69,Y,-1.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,3,3244,4,2,7,3,35.5,3.5,-0.29,69,Y,-0.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.6315615,g 700+,g 700-760,0.9798045,3.5 +10,10,3257,10,1,7,3,32,3.5,1.38,67,Y,1.42,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,10,3260,10,1,7,1,41,3.5,1.44,69,Y,1.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +1,2,3293,2,1,7,3,34,3.5,-1.12,50,Y,-1.14,P,7,P,94,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,9,3298,9,2,7,4,33,3.5,0.96,65,Y,0.97,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,3302,,1,7,3,36,3.5,,68,Y,0.2,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,4,3311,4,1,7,1,41,3.5,-0.29,68,Y,-0.37,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +7,8,3321,7,2,7,4,34,3.5,0.35,67,Y,0.76,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,7,3335,6,1,7,3,31,3.5,0.22,51,Y,0.27,P,2,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +1,2,3346,1,1,7,5,47,3.5,-1.49,66,Y,-1.03,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +7,9,3360,7,1,7,4,37,3.5,0.45,56,Y,1.14,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,4,3361,5,1,7,2,31,3.5,-0.18,69,Y,-0.44,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +2,1,3376,2,2,7,4,31,3.5,-1.06,69,Y,-1.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,681.578933,f 640-700,f 640-700,0.9798045,3.5 +10,10,3386,10,2,7,1,48,3.5,2.08,68,Y,1.45,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +3,5,3391,3,2,7,1,47,3.5,-0.62,62,Y,-0.1,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,934.210501,g 700+,i 820+,0.9798045,3.5 +7,9,3398,8,2,7,2,42,3.5,0.51,69,Y,0.93,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,855.263136,g 700+,i 820+,0.9798045,3.5 +,,3405,10,1,7,4,35.5,3.5,1.74,57,X,,P,7,P,95,2,3,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.6315615,g 700+,g 700-760,0.9798045,3.5 +8,9,3407,8,1,2,1,34,3.5,0.64,61,Y,0.95,P,7,P,94,1,3,-54,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,9,3411,9,1,7,2,31.5,3.5,0.89,60,Y,1.03,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +10,10,3422,10,1,7,3,34,3.5,2.56,66,Y,2.18,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,6,3436,7,2,7,4,46,3.5,0.47,69,Y,0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +1,1,3448,1,1,7,1,31,3.5,-1.54,54,Y,-1.86,F,2,F,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,681.578933,f 640-700,f 640-700,0.9798045,3.5 +2,2,3470,2,1,7,3,36,3.5,-0.98,58,Y,-1.12,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,7,3498,5,2,7,5,46,3.5,-0.17,69,Y,0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +10,10,3520,10,2,7,3,43,3.5,1.67,63,Y,1.65,P,2,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,871.052609,g 700+,i 820+,0.9798045,3.5 +8,9,3529,8,1,7,4,46,3.5,0.81,65,Y,1.25,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +4,4,3551,4,1,3,3,22,3.5,-0.37,71,Y,-0.48,F,7,F,94,1,4,-64,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,539.473676,d 520-580,d 520-580,0.9798045,3.5 +6,7,3567,6,2,7,4,32,3.5,0.07,58,Y,0.4,F,7,P,96,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,697.368406,f 640-700,f 640-700,0.9798045,3.5 +4,5,3570,4,1,7,1,38,3.5,-0.3,65,Y,-0.26,P,7,P,95,2,2,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,7,3587,7,2,7,5,48,3.5,0.58,68,Y,0.3,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +8,7,3600,8,2,7,1,38,3.5,0.86,69,Y,0.4,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,7,3613,2,2,7,1,33,3.5,-0.88,67,Y,0.36,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,6,3665,4,1,7,1,42,3.5,-0.31,67,Y,0.08,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +3,3,3672,3,1,2,1,38,3.5,-0.6,66,Y,-0.75,P,7,P,95,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,5,3690,8,1,7,4,42,3.5,0.54,69,Y,-0.11,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +5,7,3703,5,2,7,4,38,3.5,-0.06,69,Y,0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +,,3738,,1,7,1,42,3.5,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +3,4,3761,3,2,7,1,39.5,3.5,-0.52,69,Y,-0.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.7894535,g 700+,h 760-820,0.9798045,3.5 +9,8,3772,9,2,7,2,29,3.5,0.85,69,Y,0.84,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +1,1,3775,1,1,2,3,30,3.5,-1.6,69,Y,-1.97,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +,,3776,,1,7,5,41,3.5,,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +3,1,3789,3,2,7,5,42,3.5,-0.52,68,Y,-1.36,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +6,8,3792,6,1,7,3,36,3.5,0.22,70,Y,0.61,P,2,P,94,1,3,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,8,3794,8,1,7,1,37,3.5,0.87,69,Y,0.81,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,8,3804,9,2,2,4,38,3.5,0.89,63,Y,0.77,P,7,P,94,1,3,-56,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,5,3805,6,2,7,4,45,3.5,0.08,67,Y,-0.22,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +4,4,3831,4,1,7,1,43,3.5,-0.35,66,Y,-0.31,P,7,P,94,1,1,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +10,8,3837,10,1,7,3,37,3.5,1.34,52,Y,0.8,P,7,P,95,2,4,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,3838,9,1,7,4,39,3.5,0.89,66,Y,0.89,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,8,3856,5,2,7,1,38,3.5,-0.13,60,Y,0.72,P,7,P,93,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +1,1,3863,1,1,7,3,30,3.5,-1.75,69,Y,-2.22,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +6,5,3877,6,1,7,3,33,3.5,0.14,54,Y,-0.08,P,2,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,3894,10,1,7,1,39,3.5,1.83,53,Y,1.69,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,6,3901,4,2,7,3,42,3.5,-0.27,68,Y,0.18,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +2,1,3910,2,2,7,1,36,3.5,-0.87,58,Y,-1.34,F,7,F,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,7,3914,8,1,7,2,30.5,3.5,0.73,69,Y,0.46,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +1,2,3934,1,1,7,3,36,3.5,-1.45,67,Y,-0.93,F,7,P,96,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,8,3963,9,1,7,4,45,3.5,0.9,69,Y,0.7,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +2,2,3990,3,2,7,3,29,3.5,-0.71,68,Y,-1.23,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +6,8,3993,7,2,7,3,43,3.5,0.28,65,Y,0.71,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,871.052609,g 700+,i 820+,0.9798045,3.5 +8,7,4011,8,2,7,5,48,3.5,0.71,68,Y,0.51,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +8,10,4012,8,2,7,3,35.5,3.5,0.65,69,Y,1.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.6315615,g 700+,g 700-760,0.9798045,3.5 +8,5,4018,8,1,7,4,40,3.5,0.8,69,Y,-0.03,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +6,4,4022,6,1,7,1,40,3.5,0.12,66,Y,-0.28,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +10,10,4061,10,1,7,4,38,3.5,2.54,66,Y,2.64,P,7,P,95,2,1,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +1,1,4062,1,2,7,1,44,3.5,-1.98,69,Y,-2.04,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +5,7,4075,6,1,2,3,33,3.5,0.01,61,Y,0.45,P,7,P,94,1,5,-54,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,4,4090,4,2,6,5,34,3.5,-0.48,68,Y,-0.24,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,6,4098,6,2,7,1,37,3.5,0.2,69,Y,0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,8,4125,9,2,7,3,38,3.5,0.84,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,6,4165,6,2,7,4,44,3.5,0.14,68,Y,0.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +8,9,4178,8,1,7,5,39,3.5,0.86,69,Y,0.86,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,3,4204,3,1,3,1,26,3.5,-0.82,69,Y,-0.6,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,602.631568,e 580-640,e 580-640,0.9798045,3.5 +9,10,4286,9,1,7,3,40,3.5,1.13,68,Y,1.49,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +10,9,4291,10,2,7,5,43.5,3.5,1.84,64,Y,1.05,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,878.9473455,g 700+,i 820+,0.9798045,3.5 +,,4292,5,1,7,5,42,3.5,-0.07,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +5,7,4341,5,1,7,1,37,3.5,-0.11,69,Y,0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,1,4343,1,2,7,4,40,3.5,-1.57,68,Y,-1.83,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +3,6,4347,4,1,7,3,41,3.5,-0.48,68,Y,0.24,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +,,4366,10,2,7,5,39,3.5,2.36,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,6,4380,10,2,7,5,39,3.5,2.3,63,Y,0.23,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +3,6,4385,4,2,7,1,30.5,3.5,-0.5,69,Y,0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +,,4440,2,2,7,5,38,3.5,-0.91,65,Y,,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,5,4458,4,1,7,3,34,3.5,-0.3,68,Y,-0.18,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,7,4470,9,2,7,3,36,3.5,0.9,67,Y,0.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,8,4473,8,1,7,4,46,3.5,0.59,66,Y,0.76,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +3,3,4474,3,1,7,1,37,3.5,-0.58,68,Y,-0.6,F,2,F,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,3,4478,3,1,7,3,44,3.5,-0.73,66,Y,-0.85,P,2,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,886.842082,g 700+,i 820+,0.9798045,3.5 +2,6,4494,2,1,7,4,43,3.5,-0.83,51,Y,0.18,P,7,P,94,1,1,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +3,1,4546,4,2,6,3,32,3.5,-0.51,64,Y,-1.33,F,7,P,94,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +4,6,4555,4,1,7,4,42,3.5,-0.43,69,Y,0.11,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +7,9,4569,7,1,7,5,42,3.5,0.48,68,Y,1.07,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +1,2,4576,1,1,7,5,45,3.5,-1.49,68,Y,-1.2,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +5,3,4601,5,1,7,3,35.5,3.5,-0.13,66,Y,-0.77,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.6315615,g 700+,g 700-760,0.9798045,3.5 +10,10,4629,10,1,7,3,34,3.5,1.55,69,Y,1.91,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +10,9,4640,10,2,7,1,39,3.5,1.44,68,Y,1.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,4657,8,2,7,5,43,3.5,0.63,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +,,4661,,1,7,1,40,3.5,,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +5,3,4700,5,1,7,4,44,3.5,-0.18,68,Y,-0.56,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +7,4,4704,7,1,7,3,35,3.5,0.46,69,Y,-0.31,P,2,P,95,2,4,-67,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,4,4728,3,1,7,1,37,3.5,-0.73,59,Y,-0.44,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,4757,9,1,7,4,33,3.5,0.88,69,Y,0.88,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,7,4760,6,2,7,3,35,3.5,0.17,69,Y,0.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +4,5,4761,4,2,7,4,38,3.5,-0.27,68,Y,-0.06,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,2,4764,2,1,7,3,37,3.5,-1.03,61,Y,-1.24,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,8,4779,5,1,7,4,40,3.5,-0.14,67,Y,0.66,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +4,3,4782,5,2,7,3,33,3.5,-0.24,59,Y,-0.68,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +8,5,4796,8,2,7,3,38.5,3.5,0.69,68,Y,-0.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.9999805,g 700+,h 760-820,0.9798045,3.5 +5,5,4799,5,1,7,1,33,3.5,-0.12,66,Y,-0.24,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +1,1,4812,1,2,7,4,45,3.5,-1.7,68,Y,-1.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +7,8,4814,7,1,7,5,48,3.5,0.5,69,Y,0.82,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +2,2,4815,2,2,7,5,30,3.5,-1.08,66,Y,-1.22,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,665.78946,f 640-700,f 640-700,0.9798045,3.5 +7,7,4824,8,1,7,1,31,3.5,0.59,57,Y,0.44,P,7,P,94,1,2,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,681.578933,f 640-700,f 640-700,0.9798045,3.5 +10,10,4834,10,1,7,1,40,3.5,2.34,68,Y,2.05,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +9,9,4848,9,2,7,5,46,3.5,1.08,68,Y,1.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +7,5,4858,7,2,8,1,44,3.5,0.46,69,Y,-0.06,P,7,P,94,1,5,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +7,7,4864,7,2,7,3,28,3.5,0.35,63,Y,0.47,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +5,6,4867,5,1,7,1,37,3.5,0.01,69,Y,0.1,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,2,4876,3,2,7,3,34,3.5,-0.66,66,Y,-1.19,P,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +4,2,4899,5,1,7,6,29,3.5,-0.08,67,Y,-1,F,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,649.999987,f 640-700,f 640-700,0.9798045,3.5 +5,5,4907,6,2,7,3,35,3.5,0.03,68,Y,-0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,4,4913,3,1,4,3,28,3.5,-0.81,67,Y,-0.37,F,7,P,95,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +4,4,4915,5,2,7,1,38,3.5,-0.21,67,Y,-0.26,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,3,4945,3,2,7,1,36.3,3.5,-0.56,68,Y,-0.79,F,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,765.2631399,g 700+,h 760-820,0.9798045,3.5 +10,10,4966,10,2,7,3,41,3.5,1.55,65,Y,1.63,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +3,3,4967,3,2,7,5,46,3.5,-0.78,68,Y,-0.7,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +6,7,4968,6,2,7,4,38,3.5,0.23,64,Y,0.4,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,2,4990,6,2,7,3,37,3.5,0.11,69,Y,-0.95,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,9,5004,10,1,7,4,33,3.5,1.52,67,Y,1.03,P,7,P,94,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,9,5012,10,2,7,3,37,3.5,1.43,68,Y,0.97,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +,,5021,,1,7,1,41,3.5,,69,Y,,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +3,3,5047,3,2,7,1,42,3.5,-0.69,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +4,2,5058,5,1,7,3,37.5,3.5,-0.21,69,Y,-1.15,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,784.2105075,g 700+,h 760-820,0.9798045,3.5 +2,2,5060,2,1,7,4,34,3.5,-0.84,69,Y,-1.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +,,5070,,1,7,1,37,3.5,,65,Y,,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +4,3,5074,5,2,7,1,45,3.5,-0.21,69,Y,-0.54,P,7,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +7,7,5094,7,1,7,3,39,3.5,0.31,66,Y,0.42,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,5143,8,2,7,1,38,3.5,0.71,70,Y,0.6,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,1,5153,2,2,7,4,48,3.5,-1.17,69,Y,-1.57,F,7,P,96,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +,,5154,7,2,7,5,46,3.5,0.43,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +1,3,5156,2,1,7,1,42,3.5,-1.17,69,Y,-0.87,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +5,5,5171,6,2,7,5,44,3.5,0.06,67,Y,0,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +3,3,5177,3,1,7,5,42,3.5,-0.67,66,Y,-0.77,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +9,9,5184,9,1,7,1,35,3.5,0.96,63,Y,1.11,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,5185,5,2,2,5,41,3.5,-0.12,67,Y,,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +7,7,5224,8,1,7,3,38,3.5,0.55,69,Y,0.42,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,9,5226,9,1,7,2,40,3.5,1.03,70,Y,1.28,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,823.68419,g 700+,i 820+,0.9798045,3.5 +2,2,5247,3,1,7,1,41,3.5,-0.8,69,Y,-0.96,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +5,5,5252,5,2,7,1,41,3.5,0.02,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +5,6,5305,5,2,7,1,40,3.5,-0.06,69,Y,0.03,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +3,5,5309,3,1,7,1,37.5,3.5,-0.63,69,Y,-0.23,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.2105075,g 700+,h 760-820,0.9798045,3.5 +3,3,5312,3,1,7,4,44,3.5,-0.56,69,Y,-0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +5,7,5327,6,2,7,1,41,3.5,0.08,65,Y,0.34,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +5,5,5337,5,1,7,1,45,3.5,-0.13,66,Y,0.01,P,2,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +1,1,5358,2,2,7,3,40,3.5,-1.25,69,Y,-2.08,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +5,5,5367,5,2,7,1,40,3.5,-0.06,64,Y,-0.23,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +4,4,5379,4,1,3,1,24,3.5,-0.39,61,Y,-0.27,P,2,P,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,571.052622,d 520-580,d 520-580,0.9798045,3.5 +6,6,5405,6,2,2,4,36,3.5,0.17,68,Y,0.07,P,2,P,95,1,3,-66,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +5,5,5407,5,1,6,3,32,3.5,-0.13,64,Y,-0.21,P,2,P,95,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,5410,,2,7,,17,3.5,0.2,62,Y,-0.55,F,2,F,95,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,,460.526311,c 460-520,c 460-520,0.9798045,3.5 +,,5416,10,2,7,5,36,3.5,2.03,64,Y,,P,2,P,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,760.526298,g 700+,h 760-820,0.9798045,3.5 +,,5422,4,2,7,5,46,3.5,-0.5,68,Y,,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +6,8,5438,6,1,7,3,34,3.5,0.19,53,Y,0.64,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,3,5447,3,2,7,3,38,3.5,-0.62,68,Y,-0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +10,7,5452,10,2,7,5,35.5,3.5,1.48,69,Y,0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.6315615,g 700+,g 700-760,0.9798045,3.5 +4,6,5455,5,1,3,1,30,3.5,-0.21,67,Y,0.14,P,7,P,94,1,,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,665.78946,f 640-700,f 640-700,0.9798045,3.5 +5,4,5478,5,1,7,1,34,3.5,-0.06,69,Y,-0.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,4,5505,3,1,7,3,30,3.5,-0.81,69,Y,-0.45,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +4,4,5516,5,1,7,2,37,3.5,-0.21,70,Y,-0.52,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,2,5535,6,1,7,1,36,3.5,0.12,69,Y,-0.94,F,7,P,96,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,6,5539,6,1,7,4,47,3.5,0.15,67,Y,0.08,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +6,6,5558,6,2,7,3,27,3.5,0.24,68,Y,0.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.421041,e 580-640,e 580-640,0.9798045,3.5 +4,4,5602,4,2,7,4,40,3.5,-0.35,64,Y,-0.46,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +,,5606,8,1,7,5,45,3.5,0.71,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +,,5614,7,2,7,5,45,3.5,0.48,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +3,10,5616,4,2,7,3,34,3.5,-0.52,69,Y,1.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,6,5618,3,2,7,1,30,3.5,-0.6,64,Y,0.01,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,665.78946,f 640-700,f 640-700,0.9798045,3.5 +7,8,5628,7,1,7,5,36,3.5,0.5,67,Y,0.63,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,5630,10,1,7,3,38,3.5,2.36,69,Y,2.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,8,5640,8,2,7,4,48,3.5,0.61,69,Y,0.72,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +,,5683,4,2,7,5,46,3.5,-0.34,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +4,3,5693,4,2,7,3,36,3.5,-0.41,70,Y,-0.76,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,2,5697,3,1,7,1,36,3.5,-0.57,69,Y,-0.97,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,4,5700,5,1,2,1,44,3.5,-0.21,69,Y,-0.37,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +,,5703,7,1,7,5,42,3.5,0.55,68,Y,,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +3,1,5725,3,2,7,1,38,3.5,-0.6,63,Y,-1.38,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,7,5735,6,2,7,4,28,3.5,0.17,51,Y,0.51,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,634.210514,e 580-640,e 580-640,0.9798045,3.5 +9,8,5740,9,2,7,4,38,3.5,1.21,66,Y,0.56,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,4,5757,7,2,7,4,39,3.5,0.37,65,Y,-0.34,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,8,5765,6,1,7,4,35,3.5,0.15,69,Y,0.76,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,6,5768,5,2,7,3,34.5,3.5,-0.15,69,Y,0.01,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.8420885,g 700+,g 700-760,0.9798045,3.5 +2,3,5828,2,1,7,4,30,3.5,-0.83,50,Y,-0.57,P,7,P,94,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,665.78946,f 640-700,f 640-700,0.9798045,3.5 +,,5855,,1,7,6,25.5,3.5,,62,Y,,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,594.7368315,e 580-640,e 580-640,0.9798045,3.5 +10,10,5871,10,1,7,3,34,3.5,1.37,66,Y,2.07,P,7,P,94,1,,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,9,5895,8,2,7,3,28,3.5,0.64,66,Y,0.88,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +,,5897,,2,7,1,40.5,3.5,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.5789265,g 700+,i 820+,0.9798045,3.5 +6,5,5903,6,2,7,4,42,3.5,0.05,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +2,1,5918,2,1,3,5,33,3.5,-1.15,69,Y,-1.4,P,2,P,94,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,4,5951,5,2,7,1,40,3.5,-0.07,69,Y,-0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +2,3,5972,2,1,7,1,41,3.5,-0.86,69,Y,-0.79,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +6,6,5979,6,1,7,3,34,3.5,0.07,69,Y,0.05,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,8,6000,7,2,7,1,38.5,3.5,0.52,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.9999805,g 700+,h 760-820,0.9798045,3.5 +7,7,6009,7,1,7,1,41,3.5,0.39,69,Y,0.46,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +8,8,6036,8,1,7,1,42,3.5,0.77,69,Y,0.88,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +2,4,6051,2,1,6,4,43,3.5,-1.14,70,Y,-0.25,P,7,P,94,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +8,7,6073,8,2,7,1,48,3.5,0.77,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +4,5,6130,4,1,7,1,34,3.5,-0.28,49,Y,-0.12,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,3,6138,2,1,7,3,35,3.5,-0.85,69,Y,-0.77,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,6208,4,2,7,5,44,3.5,-0.37,70,Y,,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +8,8,6209,8,1,7,1,38,3.5,0.81,69,Y,0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,5,6233,5,2,7,4,37,3.5,-0.17,68,Y,-0.21,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,6234,9,2,7,4,40,3.5,1.18,53,Y,1.25,P,7,P,94,1,2,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +9,9,6236,10,1,7,2,34,3.5,1.24,68,Y,1.28,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,728.947352,g 700+,g 700-760,0.9798045,3.5 +,,6257,7,2,7,5,44,3.5,0.44,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +8,6,6268,8,1,7,3,28,3.5,0.81,64,Y,0.25,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +5,4,6270,5,1,7,5,35,3.5,-0.12,54,Y,-0.26,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,5,6275,5,1,7,1,42,3.5,-0.07,68,Y,-0.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +,,6288,10,2,6,5,38,3.5,2.29,69,Y,,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,8,6295,5,1,8,4,48,3.5,-0.03,66,Y,0.77,P,7,P,94,1,4,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +2,4,6299,2,1,7,3,37.5,3.5,-1.01,66,Y,-0.49,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,784.2105075,g 700+,h 760-820,0.9798045,3.5 +9,9,6320,9,2,7,4,48,3.5,1.27,68,Y,1.13,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +9,10,6369,9,2,7,4,47,3.5,0.99,69,Y,1.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +8,9,6390,8,1,7,3,34,3.5,0.82,69,Y,1.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,10,6402,9,2,7,2,32.5,3.5,1.11,67,Y,1.57,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,705.2631425,g 700+,g 700-760,0.9798045,3.5 +3,3,6424,4,1,8,1,30,3.5,-0.47,68,Y,-0.85,P,2,P,95,1,3,-66,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,665.78946,f 640-700,f 640-700,0.9798045,3.5 +9,7,6426,9,2,7,3,35,3.5,0.89,68,Y,0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,9,6431,9,1,7,3,35.5,3.5,0.91,67,Y,1.07,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.6315615,g 700+,g 700-760,0.9798045,3.5 +2,3,6447,3,2,7,4,44,3.5,-0.78,59,Y,-0.7,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +6,5,6461,6,1,7,3,34,3.5,0.19,64,Y,-0.12,P,7,P,95,2,2,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +,,6495,,1,7,4,40,3.5,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +,,6516,3,1,7,5,44,3.5,-0.69,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +,,6520,,2,7,5,47,3.5,,69,Y,,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +10,10,6526,10,2,7,3,39,3.5,2.34,68,Y,2.5,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,6543,8,1,7,1,34,3.5,0.82,68,Y,0.84,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +,,6570,8,1,4,5,40,3.5,0.79,69,Y,,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +9,8,6583,9,2,7,3,31,3.5,1.09,69,Y,0.67,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +3,4,6586,3,1,2,1,46,3.5,-0.62,66,Y,-0.45,P,7,P,94,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +2,5,6587,3,1,7,4,36,3.5,-0.78,68,Y,-0.08,P,2,P,95,1,2,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,2,6592,2,1,8,1,32,3.5,-0.88,70,Y,-0.9,P,7,P,94,1,5,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,9,6599,10,1,7,3,30,3.5,1.32,69,Y,1.11,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +,,6622,3,1,7,5,44,3.5,-0.55,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +5,8,6626,6,2,7,2,36,3.5,0.04,62,Y,0.73,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,10,6628,9,2,7,3,37,3.5,0.92,69,Y,1.42,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,9,6634,10,1,7,3,42,3.5,1.95,69,Y,1.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +7,6,6639,7,2,7,1,44,3.5,0.35,66,Y,0.23,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +3,3,6641,3,1,7,1,37,3.5,-0.6,69,Y,-0.58,P,,P,,1,2,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,6670,10,2,7,5,39,3.5,1.78,70,Y,1.9,P,2,P,94,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,6,6671,7,2,7,1,33,3.5,0.32,66,Y,0.01,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +2,3,6681,2,1,7,4,38,3.5,-1.13,69,Y,-0.81,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +10,9,6717,10,1,7,3,44,3.5,1.62,68,Y,1.12,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,886.842082,g 700+,i 820+,0.9798045,3.5 +7,8,6723,7,2,7,1,45,3.5,0.33,64,Y,0.57,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +2,2,6725,2,1,7,3,29.5,3.5,-0.99,68,Y,-1.21,F,7,P,95,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +2,5,6738,2,2,7,4,41,3.5,-0.92,69,Y,-0.22,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +8,9,6743,8,1,7,1,43,3.5,0.85,70,Y,1.04,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +,,6757,9,1,7,5,41,3.5,1.26,66,Y,,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +6,5,6764,6,2,7,3,37,3.5,0.15,69,Y,-0.16,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,9,6775,7,1,7,5,38,3.5,0.55,68,Y,0.9,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,792.105244,g 700+,h 760-820,0.9798045,3.5 +,,6777,,1,7,1,37,3.5,,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,7,6795,7,2,7,1,46,3.5,0.48,68,Y,0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +9,10,6814,9,1,7,1,40,3.5,1.05,69,Y,1.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +9,9,6832,9,2,7,3,33,3.5,0.89,67,Y,1.17,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +2,2,6859,2,1,7,3,32,3.5,-0.91,58,Y,-1.1,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +9,9,6861,9,1,7,1,32,3.5,1.05,61,Y,1.27,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,6876,4,1,7,5,44,3.5,-0.23,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +10,9,6893,10,1,7,3,44,3.5,1.7,63,Y,1.06,P,2,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,886.842082,g 700+,i 820+,0.9798045,3.5 +8,8,6940,8,2,7,3,29,3.5,0.73,70,Y,0.56,P,2,P,94,1,3,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +1,2,6946,1,1,7,1,35,3.5,-1.33,50,Y,-0.96,F,7,F,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,9,6959,9,2,7,1,41,3.5,1.26,62,Y,1.28,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +9,10,6960,9,2,7,1,39,3.5,1.28,66,Y,1.67,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,4,6964,6,2,7,3,31.5,3.5,0.02,67,Y,-0.42,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +7,9,6978,7,2,7,4,45,3.5,0.49,69,Y,0.91,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +3,6,7011,4,1,7,4,43,3.5,-0.49,70,Y,0.06,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +9,8,7025,9,1,7,3,33,3.5,0.98,68,Y,0.63,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,4,7040,6,1,7,3,34,3.5,0.23,65,Y,-0.5,P,2,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,7,7043,6,2,7,2,34,3.5,0.05,65,Y,0.47,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,728.947352,g 700+,g 700-760,0.9798045,3.5 +4,6,7085,4,2,7,3,26.7,3.5,-0.28,66,Y,0.08,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,613.6841991,e 580-640,e 580-640,0.9798045,3.5 +9,10,7113,9,2,7,4,42,3.5,1.25,68,Y,1.86,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +1,1,7115,1,1,2,3,29,3.5,-1.35,66,Y,-2.2,F,7,F,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +5,6,7125,6,2,7,2,29,3.5,0.01,67,Y,-0.02,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +,,7134,,1,7,6,29,3.5,,68,Y,,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,649.999987,f 640-700,f 640-700,0.9798045,3.5 +8,7,7142,8,2,7,4,44,3.5,0.82,69,Y,0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +7,8,7147,7,1,7,4,48,3.5,0.4,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +2,4,7183,2,1,2,3,32,3.5,-0.84,69,Y,-0.43,P,2,P,95,1,4,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +3,5,7240,3,2,7,3,26,3.5,-0.58,64,Y,-0.13,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,602.631568,e 580-640,e 580-640,0.9798045,3.5 +,,7259,,2,8,1,38,3.5,,69,Y,,P,7,P,95,1,3,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,8,7276,8,1,7,5,42,3.5,0.93,69,Y,0.57,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +,,7299,,2,7,3,33,3.5,,68,X,,F,7,F,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +2,1,7329,2,1,6,5,41,3.5,-1.08,68,Y,-1.5,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +1,1,7338,1,1,3,5,39,3.5,-1.44,69,Y,-1.72,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,9,7347,10,1,7,4,47,3.5,1.88,65,Y,1.29,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +10,10,7382,10,1,7,1,45,3.5,1.62,68,Y,1.62,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +4,3,7400,4,2,7,4,44,3.5,-0.45,68,Y,-0.59,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +10,10,7411,10,1,7,4,37,3.5,2.29,69,Y,1.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,3,7425,2,1,2,1,36,3.5,-0.84,67,Y,-0.82,P,7,P,94,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,6,7450,4,1,7,4,44,3.5,-0.48,63,Y,0.06,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +4,6,7469,4,2,7,3,34,3.5,-0.38,68,Y,0.12,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,7,7495,6,1,7,3,35,3.5,0.07,68,Y,0.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,7503,,2,7,3,34,3.5,,55,Y,,P,7,P,95,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,5,7510,7,2,7,1,34,3.5,0.43,62,Y,-0.02,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,3,7520,3,2,7,1,34,3.5,-0.66,62,Y,-0.73,P,7,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,7,7568,9,2,7,4,39,3.5,1.2,68,Y,0.49,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,6,7578,6,2,7,5,40,3.5,0.23,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +7,7,7593,8,2,7,4,48,3.5,0.55,68,Y,0.28,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +1,1,7612,1,1,7,4,34,3.5,-1.43,69,Y,-1.42,F,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,9,7667,9,1,7,3,34,3.5,1.06,69,Y,1.28,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,7,7668,5,2,7,3,29.5,3.5,-0.03,67,Y,0.39,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +4,5,7669,4,1,7,3,40,3.5,-0.37,69,Y,-0.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +7,6,7678,7,1,7,5,37,3.5,0.58,68,Y,0.18,P,2,P,96,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,4,7688,6,1,7,4,36,3.5,0.05,64,Y,-0.27,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,2,7705,3,2,7,3,37,3.5,-0.61,69,Y,-1.14,F,7,P,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,8,7707,9,1,7,1,39,3.5,1.2,64,Y,0.86,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,7714,,2,1,1,40,3.5,,65,Y,-0.42,P,7,P,94,1,2,-58,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +2,1,7737,2,1,7,3,30,3.5,-1.04,66,Y,-1.32,F,7,F,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +10,10,7759,10,2,7,4,41,3.5,2.15,69,Y,1.82,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +3,7,7779,3,2,7,3,28.7,3.5,-0.56,64,Y,0.37,P,7,P,94,1,1,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.2631451,f 640-700,f 640-700,0.9798045,3.5 +2,5,7786,3,1,7,1,38,3.5,-0.76,68,Y,-0.02,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,1,7789,2,2,3,3,29,3.5,-0.96,68,Y,-1.56,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +8,8,7800,8,2,7,3,35,3.5,0.75,64,Y,0.65,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,5,7854,3,2,7,4,35,3.5,-0.6,67,Y,-0.14,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,4,7878,3,2,7,1,39,3.5,-0.68,60,Y,-0.36,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,7,7883,6,2,7,4,43,3.5,0.24,67,Y,0.43,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +9,10,7915,9,1,7,4,39,3.5,1.07,63,Y,1.41,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,7,7920,6,1,7,1,34,3.5,0.08,68,Y,0.3,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,3,7945,5,2,7,4,37,3.5,-0.09,68,Y,-0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,2,7946,2,2,7,4,40,3.5,-0.92,70,Y,-0.93,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +10,8,7966,10,2,7,5,37,3.5,2.48,66,Y,0.62,P,7,P,94,,,-59,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,9,7973,7,1,7,3,36,3.5,0.43,68,Y,1.05,P,6,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +5,6,7976,5,1,7,3,41,3.5,-0.17,68,Y,0.05,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +9,8,7977,9,2,7,1,40,3.5,1.18,65,Y,0.82,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +3,4,7979,3,2,1,2,26,3.5,-0.68,67,Y,-0.4,P,7,P,94,1,2,-60,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,602.631568,e 580-640,e 580-640,0.9798045,3.5 +,,7980,,1,7,1,28,3.5,,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,634.210514,e 580-640,e 580-640,0.9798045,3.5 +7,8,8002,7,1,7,1,35,3.5,0.37,69,Y,0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,4,8010,4,1,7,2,30,3.5,-0.44,50,Y,-0.33,P,7,P,94,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,665.78946,f 640-700,f 640-700,0.9798045,3.5 +2,4,8012,2,1,2,4,44,3.5,-1.17,68,Y,-0.4,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +2,2,8014,3,1,6,4,31,3.5,-0.8,66,Y,-1.11,F,7,F,94,1,3,-59,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,681.578933,f 640-700,f 640-700,0.9798045,3.5 +9,9,8028,9,2,7,2,35,3.5,1.13,69,Y,0.95,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,4,8031,4,1,7,1,37,3.5,-0.43,68,Y,-0.29,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,9,8037,8,2,7,1,40,3.5,0.77,67,Y,0.93,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +4,3,8050,4,1,7,3,30,3.5,-0.34,69,Y,-0.73,P,2,P,94,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +7,9,8058,8,1,7,4,37,3.5,0.56,70,Y,1.08,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,2,8063,2,2,7,1,39,3.5,-0.92,69,Y,-1.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,9,8079,9,2,7,1,46,3.5,1.17,69,Y,1.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +8,8,8105,8,1,7,3,25,3.5,0.57,66,Y,0.81,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,586.842095,e 580-640,e 580-640,0.9798045,3.5 +6,2,8143,6,2,7,4,42,3.5,0.13,69,Y,-0.91,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +8,8,8165,8,2,7,1,41,3.5,0.7,57,Y,0.81,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +1,1,8179,2,2,7,1,41,3.5,-1.22,69,Y,-1.42,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +8,4,8195,8,2,7,4,44,3.5,0.69,65,Y,-0.33,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +4,2,8196,4,1,7,1,30,3.5,-0.3,69,Y,-0.99,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,665.78946,f 640-700,f 640-700,0.9798045,3.5 +1,1,8197,1,2,7,1,39,3.5,-1.56,68,Y,-1.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,5,8203,6,1,7,3,39,3.5,0.24,67,Y,-0.26,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,1,8208,2,1,7,3,27,3.5,-1.05,52,Y,-1.64,F,7,P,95,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,618.421041,e 580-640,e 580-640,0.9798045,3.5 +8,6,8216,8,2,7,4,41,3.5,0.59,65,Y,0.25,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +8,8,8235,8,2,7,4,48,3.5,0.77,63,Y,0.65,P,2,P,96,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +5,3,8251,5,2,7,1,34,3.5,-0.05,67,Y,-0.56,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +10,9,8260,10,1,7,6,28,3.5,1.36,54,Y,1.21,P,7,P,94,1,5,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,634.210514,e 580-640,e 580-640,0.9798045,3.5 +1,1,8262,2,2,7,3,36,3.5,-1.12,68,Y,-1.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,9,8282,8,1,7,4,35,3.5,0.66,59,Y,1.1,P,2,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,9,8303,9,2,7,1,48,3.5,0.99,54,Y,0.9,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +5,5,8309,5,2,7,3,34,3.5,-0.15,69,Y,-0.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,9,8314,10,2,7,1,46,3.5,1.3,66,Y,0.9,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +9,9,8323,9,2,7,1,48,3.5,1.25,65,Y,0.93,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +2,5,8339,3,1,7,5,43,3.5,-0.85,68,Y,-0.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +9,8,8342,9,2,7,1,41,3.5,1.11,66,Y,0.82,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +8,7,8360,8,2,7,4,33,3.5,0.84,65,Y,0.39,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +8,6,8382,8,2,7,4,38,3.5,0.78,68,Y,0.12,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,6,8395,7,2,2,4,42,3.5,0.54,68,Y,0.2,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +1,4,8401,2,1,3,3,18,3.5,-1.14,54,Y,-0.5,P,7,P,95,2,1,-47,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,476.315784,c 460-520,c 460-520,0.9798045,3.5 +7,7,8413,8,2,7,1,36,3.5,0.58,69,Y,0.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,8,8430,8,2,7,5,47,3.5,0.7,66,Y,0.61,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +5,4,8449,5,1,7,1,30,3.5,-0.09,62,Y,-0.35,P,7,P,94,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,665.78946,f 640-700,f 640-700,0.9798045,3.5 +3,3,8457,3,1,7,1,35,3.5,-0.64,71,Y,-0.64,P,7,P,94,1,2,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,2,8490,2,1,3,3,25,3.5,-0.89,68,Y,-1.17,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,586.842095,e 580-640,e 580-640,0.9798045,3.5 +6,6,8501,6,2,7,4,33,3.5,0.1,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,8511,9,2,7,5,42,3.5,1.28,64,Y,,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,8519,10,1,2,5,40,3.5,2.25,69,Y,1.5,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +7,8,8520,7,1,7,3,34,3.5,0.51,69,Y,0.86,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,5,8528,7,2,7,3,38,3.5,0.42,69,Y,-0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,9,8549,8,2,7,1,39.5,3.5,0.74,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.7894535,g 700+,h 760-820,0.9798045,3.5 +7,7,8572,7,2,7,5,47,3.5,0.47,66,Y,0.44,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +4,4,8574,4,2,7,5,45,3.5,-0.24,59,Y,-0.24,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +10,10,8581,10,1,7,3,42,3.5,1.89,69,Y,1.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +4,4,8584,5,2,7,5,46,3.5,-0.18,69,Y,-0.43,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +8,8,8585,8,2,7,5,47,3.5,0.82,68,Y,0.77,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +,,8622,,1,7,1,43,3.5,,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +2,4,8637,3,2,7,3,33,3.5,-0.76,65,Y,-0.3,F,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,8,8642,7,1,7,1,46,3.5,0.32,69,Y,0.7,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +5,5,8646,5,2,7,1,39,3.5,-0.02,69,Y,0.01,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,8,8648,10,1,7,3,35,3.5,1.56,63,Y,0.8,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,2,8653,6,2,7,3,31,3.5,-0.01,65,Y,-0.92,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +8,9,8677,8,1,7,4,42,3.5,0.69,67,Y,1.05,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +7,5,8698,7,1,2,4,29,3.5,0.51,69,Y,-0.14,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,649.999987,f 640-700,f 640-700,0.9798045,3.5 +,,8705,,2,7,5,39,3.5,,70,Y,,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,7,8709,6,1,7,3,33,3.5,0.17,63,Y,0.39,P,2,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,9,8726,6,2,7,1,39.5,3.5,0.2,67,Y,1.07,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.7894535,g 700+,h 760-820,0.9798045,3.5 +6,7,8731,6,1,7,1,33,3.5,0.12,68,Y,0.53,P,2,P,96,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,5,8738,6,2,7,1,42,3.5,0.07,68,Y,-0.05,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +8,8,8751,8,1,7,1,34,3.5,0.86,67,Y,0.77,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +,,8753,9,2,7,5,40,3.5,1.19,57,Y,,P,7,P,94,1,5,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +6,4,8756,6,1,7,1,38,3.5,0.16,57,Y,-0.33,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,10,8759,9,2,7,1,42,3.5,1.23,66,Y,1.44,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +8,7,8760,9,2,1,1,40,3.5,0.88,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,9,8794,8,2,7,1,36,3.5,0.84,68,Y,0.98,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,5,8834,6,1,7,3,33,3.5,0.25,69,Y,-0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,3,8858,4,2,7,3,32.5,3.5,-0.31,57,Y,-0.8,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.2631425,g 700+,g 700-760,0.9798045,3.5 +7,6,8879,7,2,7,1,33,3.5,0.35,69,Y,0.22,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,4,8882,6,1,7,3,27.5,3.5,0.25,69,Y,-0.31,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,626.3157775,e 580-640,e 580-640,0.9798045,3.5 +6,7,8886,6,2,7,4,45,3.5,0.23,64,Y,0.46,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +8,8,8913,8,2,7,1,37,3.5,0.68,68,Y,0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,5,8918,5,1,7,4,41,3.5,-0.12,67,Y,-0.01,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +7,8,8940,7,2,7,1,41,3.5,0.44,60,Y,0.57,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +4,6,9041,5,2,7,1,38,3.5,-0.2,69,Y,0.24,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,6,9095,7,2,7,2,26,3.5,0.43,70,Y,0.07,P,7,P,94,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,602.631568,e 580-640,e 580-640,0.9798045,3.5 +10,10,9099,10,2,7,1,45,3.5,1.61,60,Y,1.63,P,7,P,94,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +5,5,9103,5,1,7,1,40,3.5,-0.12,69,Y,-0.11,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +7,8,9105,7,1,7,3,34,3.5,0.47,68,Y,0.77,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,7,9134,7,2,7,1,40,3.5,0.57,69,Y,0.46,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +9,9,9153,9,1,7,4,36,3.5,1.24,69,Y,1.11,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,5,9159,7,2,7,4,36,3.5,0.48,69,Y,-0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +1,1,9167,1,1,3,5,31,3.5,-2.35,65,Y,-2.05,P,7,P,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,681.578933,f 640-700,f 640-700,0.9798045,3.5 +8,6,9169,8,1,7,3,34,3.5,0.59,59,Y,0.08,P,7,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,8,9185,8,1,7,3,40,3.5,0.73,60,Y,0.69,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +2,3,9191,3,2,7,3,33,3.5,-0.76,69,Y,-0.88,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +9,9,9205,9,2,7,5,48,3.5,1.05,69,Y,0.98,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +8,8,9242,8,2,7,4,32,3.5,0.71,69,Y,0.67,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,7,9247,10,1,7,5,46,3.5,2.11,62,Y,0.51,P,7,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +10,10,9261,10,1,7,1,40,3.5,1.38,69,Y,1.58,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,7,9265,9,2,7,3,34,3.5,0.85,68,Y,0.51,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,7,9293,7,1,7,4,31,3.5,0.41,52,Y,0.34,P,2,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,681.578933,f 640-700,f 640-700,0.9798045,3.5 +1,5,9294,1,1,7,3,34,3.5,-1.41,63,Y,-0.04,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,6,9298,4,1,7,1,39,3.5,-0.48,61,Y,0.16,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,9301,,1,7,3,42,3.5,,68,Y,,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +7,4,9305,7,2,7,3,34,3.5,0.51,69,Y,-0.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,9,9324,9,2,7,1,36,3.5,0.91,66,Y,1.12,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,9,9342,9,2,7,2,32,3.5,1.06,67,Y,1.05,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,697.368406,f 640-700,f 640-700,0.9798045,3.5 +5,5,9344,6,2,7,1,48,3.5,0.06,70,Y,-0.22,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +,,9348,6,2,7,5,43,3.5,0.06,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +10,10,9351,10,2,7,1,35,3.5,1.4,68,Y,1.62,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,6,9352,8,1,7,4,36,3.5,0.58,65,Y,0.1,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +1,1,9353,1,2,7,2,36,3.5,-1.47,68,Y,-1.75,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,2,9366,4,2,7,1,38,3.5,-0.38,69,Y,-1.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,7,9414,6,2,7,4,42,3.5,0.25,59,Y,0.4,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +,,9425,,1,7,4,42,3.5,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,9440,10,2,7,1,39,3.5,2.07,67,Y,1.8,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,9445,8,2,7,1,39,3.5,0.69,69,Y,0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,10,9449,10,2,7,5,46,3.5,2.05,67,Y,1.74,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +2,3,9453,2,1,3,4,34,3.5,-0.95,69,Y,-0.57,F,7,P,95,1,1,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +10,10,9458,10,1,7,1,40,3.5,1.37,56,Y,1.47,P,7,P,95,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +3,4,9463,3,1,7,1,36,3.5,-0.72,69,Y,-0.52,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,9,9471,10,2,7,4,47,3.5,1.44,69,Y,1.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +5,6,9498,6,1,7,3,38,3.5,0.03,68,Y,0.21,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,5,9508,6,2,7,4,43,3.5,0.24,68,Y,-0.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +1,1,9567,1,1,7,4,31,3.5,-1.58,57,Y,-1.99,F,7,F,95,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,681.578933,f 640-700,f 640-700,0.9798045,3.5 +9,9,9569,9,1,7,2,39,3.5,0.94,67,Y,1.22,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,807.894717,g 700+,h 760-820,0.9798045,3.5 +1,1,9583,1,1,3,1,25,3.5,-1.56,69,Y,-1.75,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,586.842095,e 580-640,e 580-640,0.9798045,3.5 +9,10,9588,10,1,7,1,39,3.5,1.31,69,Y,1.68,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,5,9601,7,1,7,1,36.5,3.5,0.45,69,Y,0.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.4210345,g 700+,h 760-820,0.9798045,3.5 +,,9605,10,2,7,5,44,3.5,1.46,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +1,2,9639,1,1,8,1,37,3.5,-1.35,68,Y,-1.05,F,7,P,95,1,2,-61,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,6,9682,10,1,7,5,39,3.5,1.97,62,Y,0.2,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,4,9708,6,2,7,3,26,3.5,0.23,59,Y,-0.42,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,602.631568,e 580-640,e 580-640,0.9798045,3.5 +10,9,9715,10,1,7,3,37,3.5,1.31,69,Y,1.17,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,1,9718,1,2,3,4,25,3.5,-1.29,70,Y,-2.78,F,7,F,94,1,3,-63,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,586.842095,e 580-640,e 580-640,0.9798045,3.5 +5,7,9719,6,2,7,2,28,3.5,0.04,68,Y,0.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,634.210514,e 580-640,e 580-640,0.9798045,3.5 +3,3,9736,4,2,7,3,34,3.5,-0.46,69,Y,-0.7,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,3,9737,3,1,2,3,35,3.5,-0.65,67,Y,-0.86,P,7,P,95,2,3,-60,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,6,9740,6,1,7,1,36,3.5,0.21,70,Y,0.24,P,2,P,95,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,3,9757,3,2,7,3,36,3.5,-0.74,69,Y,-0.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,9,9763,10,1,7,1,48,3.5,1.94,60,Y,1,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +3,4,9764,4,2,7,2,31,3.5,-0.53,69,Y,-0.45,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +1,1,9800,1,2,7,3,35,3.5,-1.75,69,Y,-1.46,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,9841,,2,7,4,32,3.5,,69,Y,0.64,P,7,P,95,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,697.368406,f 640-700,f 640-700,0.9798045,3.5 +3,4,9846,4,2,7,1,36,3.5,-0.47,66,Y,-0.5,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,9881,10,1,7,1,45,3.5,2.19,58,Y,1.84,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +7,4,9882,8,1,7,1,46,3.5,0.59,68,Y,-0.45,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +5,4,9883,5,2,7,4,48,3.5,-0.15,69,Y,-0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +8,7,9922,8,1,7,2,28.5,3.5,0.79,69,Y,0.27,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,642.1052505,f 640-700,f 640-700,0.9798045,3.5 +7,6,9934,8,2,7,2,36,3.5,0.53,68,Y,0.16,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,1,9958,2,1,7,5,37,3.5,-0.98,64,Y,-1.46,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +4,5,9977,5,1,7,3,27,3.5,-0.17,68,Y,-0.2,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.421041,e 580-640,e 580-640,0.9798045,3.5 +9,9,9978,9,2,7,3,35,3.5,0.87,69,Y,0.89,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,10,10005,8,1,7,1,40,3.5,0.86,64,Y,1.49,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +10,10,10021,10,2,7,3,37,3.5,1.89,69,Y,1.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,4,10065,6,1,7,1,38,3.5,0.16,69,Y,-0.47,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,1,10114,3,1,7,4,42,3.5,-0.72,69,Y,-1.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +10,5,10121,10,2,7,1,32,3.5,1.32,68,Y,-0.13,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +8,8,10133,8,2,7,3,37,3.5,0.64,68,Y,0.56,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +4,7,10139,5,1,7,2,29,3.5,-0.28,69,Y,0.32,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +9,6,10142,9,1,7,4,36,3.5,1.03,66,Y,0.17,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,3,10147,4,1,7,1,40,3.5,-0.48,67,Y,-0.64,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +2,1,10150,2,1,7,1,35,3.5,-1.13,68,Y,-1.42,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,6,10152,9,1,7,1,45,3.5,1.14,69,Y,0.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +8,9,10169,8,1,7,1,40,3.5,0.65,68,Y,1.08,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +,,10184,2,2,7,5,44,3.5,-0.92,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +5,3,10228,5,2,7,3,41,3.5,-0.02,71,Y,-0.66,P,7,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +10,9,10238,10,2,2,5,39,3.5,1.5,68,Y,1.08,P,7,P,94,1,2,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,8,10241,10,2,7,1,39,3.5,1.5,69,Y,0.83,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,8,10242,9,1,7,3,34,3.5,1.07,69,Y,0.78,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +4,5,10280,4,1,7,1,38,3.5,-0.36,62,Y,-0.21,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,8,10289,5,2,7,4,46,3.5,-0.16,65,Y,0.6,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +,,10312,4,2,2,5,47,3.5,-0.42,68,Y,,P,7,P,95,1,5,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +2,3,10320,2,2,7,4,45,3.5,-1.14,67,Y,-0.79,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +,,10328,,1,7,4,30.5,3.5,,37,Y,,F,7,F,95,2,3,-30,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +5,5,10346,5,2,7,4,38,3.5,-0.2,65,Y,-0.12,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,5,10363,5,2,7,3,29.5,3.5,-0.11,54,Y,-0.1,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +5,4,10373,6,1,4,4,39,3.5,0.03,70,Y,-0.32,P,7,P,94,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,10410,4,1,7,5,43,3.5,-0.23,69,Y,,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +2,2,10428,3,2,7,3,37,3.5,-0.7,69,Y,-0.91,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,6,10432,5,2,7,4,42,3.5,-0.07,59,Y,0.07,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +8,7,10450,8,2,7,3,30.5,3.5,0.64,68,Y,0.44,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +4,6,10459,4,1,7,3,38,3.5,-0.32,62,Y,0.21,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,5,10492,5,2,8,3,36,3.5,-0.19,69,Y,-0.21,F,7,F,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,8,10494,6,2,7,3,31.5,3.5,0.2,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +,,10502,,2,4,5,44,3.5,,69,Y,0,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +6,5,10503,6,2,2,3,33,3.5,0.16,67,Y,-0.09,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +9,6,10506,9,1,7,4,46,3.5,0.89,62,Y,0.18,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +4,2,10535,4,1,7,5,36,3.5,-0.31,69,Y,-0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,10,10551,9,1,7,5,39,3.5,1.07,63,Y,1.29,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +3,4,10553,4,1,2,1,33.5,3.5,-0.44,69,Y,-0.43,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,721.0526155,g 700+,g 700-760,0.9798045,3.5 +5,6,10568,5,2,7,4,41,3.5,-0.14,68,Y,0.11,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +8,8,10574,9,2,7,3,33,3.5,0.86,69,Y,0.58,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,10608,10,2,7,1,33,3.5,1.41,69,Y,1.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,4,10617,4,2,7,1,43,3.5,-0.41,69,Y,-0.46,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +7,6,10621,7,2,8,3,30,3.5,0.33,63,Y,0.01,P,2,P,95,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +5,5,10629,5,1,7,4,39,3.5,-0.01,68,Y,-0.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,9,10633,7,1,3,1,32,3.5,0.31,69,Y,1.01,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +9,8,10636,9,2,7,3,37,3.5,0.92,69,Y,0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,10,10643,9,1,7,1,41,3.5,1.22,65,Y,1.64,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +4,6,10653,5,1,7,1,45,3.5,-0.22,70,Y,0.13,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +4,5,10677,4,1,3,1,21,3.5,-0.39,69,Y,-0.15,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,523.684203,d 520-580,d 520-580,0.9798045,3.5 +8,5,10680,8,1,7,1,31,3.5,0.83,68,Y,-0.08,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,681.578933,f 640-700,f 640-700,0.9798045,3.5 +9,10,10683,9,1,7,1,33,3.5,1.24,69,Y,1.46,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,5,10702,5,2,7,1,39,3.5,-0.11,68,Y,-0.12,F,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,8,10747,7,2,7,2,35.5,3.5,0.4,69,Y,0.78,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,752.6315615,g 700+,g 700-760,0.9798045,3.5 +3,5,10772,3,2,7,1,39,3.5,-0.69,69,Y,-0.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,7,10789,8,1,7,3,34,3.5,0.55,69,Y,0.49,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,9,10824,6,1,7,3,39,3.5,0.12,69,Y,1.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,4,10825,5,2,7,1,41,3.5,-0.2,68,Y,-0.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +9,8,10830,9,2,7,1,33,3.5,1.21,69,Y,0.8,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,6,10834,6,1,7,3,34.5,3.5,0.03,67,Y,0.12,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.8420885,g 700+,g 700-760,0.9798045,3.5 +,,10841,,1,7,4,37,3.5,,67,Y,,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,7,10851,7,2,7,3,33,3.5,0.27,69,Y,0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +8,8,10864,8,2,7,1,43,3.5,0.72,68,Y,0.56,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +5,8,10867,5,2,7,3,37,3.5,-0.16,70,Y,0.58,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,7,10883,6,1,7,5,43,3.5,0.15,69,Y,0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +2,3,10885,2,2,7,5,46,3.5,-0.89,62,Y,-0.82,P,2,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +9,9,10889,9,1,7,1,38,3.5,1.16,69,Y,1.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,5,10897,6,1,7,1,39,3.5,0.21,70,Y,-0.04,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,10,10905,10,1,7,3,36,3.5,2.02,69,Y,1.52,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,6,10950,3,1,7,3,35,3.5,-0.6,60,Y,0.07,P,2,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +7,6,10966,8,2,7,1,39,3.5,0.59,59,Y,0.17,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,10991,8,1,7,1,36,3.5,0.86,68,Y,0.75,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +5,6,10994,5,1,7,3,30,3.5,-0.05,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +10,10,11001,10,2,7,3,35,3.5,1.48,69,Y,1.56,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +10,10,11009,10,1,7,1,37,3.5,1.35,65,Y,1.5,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,4,11048,3,2,7,4,33.5,3.5,-0.54,69,Y,-0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,721.0526155,g 700+,g 700-760,0.9798045,3.5 +7,5,11049,8,2,7,3,34,3.5,0.55,69,Y,-0.21,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,7,11055,7,2,7,3,36,3.5,0.3,64,Y,0.38,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,2,11061,2,2,7,1,36,3.5,-1.13,69,Y,-1.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,5,11083,2,1,7,5,38,3.5,-1.08,69,Y,-0.18,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,3,11088,3,2,7,1,39,3.5,-0.79,65,Y,-0.84,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +3,3,11090,4,2,7,5,45,3.5,-0.49,66,Y,-0.53,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +1,3,11135,2,2,7,6,36,3.5,-1.21,65,Y,-0.72,P,2,P,96,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,760.526298,g 700+,h 760-820,0.9798045,3.5 +5,7,11158,5,2,7,3,40,3.5,-0.05,66,Y,0.46,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +,,11179,10,1,7,5,48,3.5,1.98,66,Y,,P,2,P,96,1,5,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +6,4,11202,6,2,7,5,37,3.5,0.34,68,Y,-0.34,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,4,11203,3,1,7,3,39,3.5,-0.62,69,Y,-0.49,P,2,P,94,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,11214,,2,7,5,41,3.5,,64,Y,,P,7,P,95,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +5,3,11217,5,1,7,2,28,3.5,-0.13,66,Y,-0.6,P,2,P,95,2,5,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,634.210514,e 580-640,e 580-640,0.9798045,3.5 +8,7,11230,8,1,7,4,41,3.5,0.58,68,Y,0.32,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +10,9,11240,10,1,7,1,40.5,3.5,1.33,70,Y,0.94,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.5789265,g 700+,i 820+,0.9798045,3.5 +3,3,11256,3,1,7,1,39,3.5,-0.52,69,Y,-0.76,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,3,11303,3,2,7,5,46,3.5,-0.85,67,Y,-0.59,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +4,2,11305,4,1,7,1,40,3.5,-0.34,67,Y,-0.93,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,9,11314,8,1,5,3,36,3.5,0.57,51,Y,1.3,P,7,P,95,2,3,-44,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,8,11317,9,1,7,3,35,3.5,0.88,66,Y,0.68,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +7,6,11325,7,1,7,3,33.5,3.5,0.33,67,Y,0.04,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +1,3,11330,2,2,7,3,33,3.5,-1.15,68,Y,-0.8,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,4,11355,5,2,7,1,41,3.5,-0.1,69,Y,-0.33,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +5,5,11399,5,2,7,1,36,3.5,0.01,69,Y,-0.19,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,5,11406,3,2,7,1,37,3.5,-0.55,69,Y,-0.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,9,11423,8,1,7,3,33,3.5,0.66,52,Y,0.91,P,7,P,95,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,3,11426,3,1,7,4,33,3.5,-0.54,53,Y,-0.66,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +9,10,11438,9,2,7,1,40,3.5,1.02,68,Y,1.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +9,9,11445,9,1,7,3,39,3.5,1.16,69,Y,1.04,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,7,11454,8,1,7,4,47,3.5,0.57,68,Y,0.34,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +2,2,11473,2,1,7,1,31,3.5,-0.96,70,Y,-0.95,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,681.578933,f 640-700,f 640-700,0.9798045,3.5 +5,3,11500,5,2,7,1,37,3.5,-0.01,69,Y,-0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,6,11553,8,1,7,4,31,3.5,0.66,44,Y,0.04,F,7,F,95,2,4,-37,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,681.578933,f 640-700,f 640-700,0.9798045,3.5 +8,9,11583,8,2,7,4,41,3.5,0.6,69,Y,0.86,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +4,7,11598,5,1,7,3,30,3.5,-0.2,69,Y,0.46,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +6,8,11606,6,1,7,1,39,3.5,0.23,66,Y,0.81,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,5,11623,6,2,7,3,36,3.5,0.2,67,Y,-0.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,1,11624,2,2,7,3,29,3.5,-0.95,46,Y,-1.53,F,2,F,95,1,4,-44,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +10,10,11638,10,1,7,4,44,3.5,1.45,65,Y,1.33,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +5,6,11639,5,2,7,3,29,3.5,-0.17,63,Y,0.07,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +5,5,11644,6,2,7,1,38,3.5,0.06,68,Y,-0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,5,11645,4,2,7,3,36,3.5,-0.35,59,Y,-0.06,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,8,11656,8,1,7,4,38,3.5,0.8,69,Y,0.69,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,8,11659,7,1,7,4,35.5,3.5,0.3,69,Y,0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.6315615,g 700+,g 700-760,0.9798045,3.5 +3,3,11668,3,2,7,3,30.5,3.5,-0.63,69,Y,-0.57,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +2,2,11717,2,1,2,3,28.5,3.5,-1.04,69,Y,-1.3,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,642.1052505,f 640-700,f 640-700,0.9798045,3.5 +6,5,11723,6,1,7,1,32,3.5,0.26,60,Y,-0.01,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +9,8,11730,9,2,7,3,39,3.5,1.13,65,Y,0.84,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,10,11739,10,2,7,3,38,3.5,2.78,64,Y,2.76,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,9,11750,7,1,7,3,36,3.5,0.26,68,Y,0.99,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,9,11758,9,2,7,5,47,3.5,1.26,69,Y,0.95,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +6,8,11760,6,1,7,5,42,3.5,0.13,69,Y,0.76,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +1,2,11765,1,1,7,4,31,3.5,-2.21,66,Y,-1.09,F,2,F,96,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,681.578933,f 640-700,f 640-700,0.9798045,3.5 +7,10,11766,8,2,7,6,39,3.5,0.58,68,Y,1.43,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,4,11791,6,1,3,3,24,3.5,0.03,65,Y,-0.44,P,7,P,94,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,571.052622,d 520-580,d 520-580,0.9798045,3.5 +7,5,11796,7,2,7,4,32,3.5,0.35,60,Y,-0.12,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,10,11800,10,2,7,3,42,3.5,1.91,65,Y,1.99,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +3,5,11814,3,1,7,4,35,3.5,-0.71,69,Y,-0.13,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,11817,3,2,7,5,45,3.5,-0.83,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +6,5,11826,6,1,8,4,33,3.5,0.06,46,Y,-0.24,F,7,P,95,1,3,-39,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,4,11836,6,2,3,1,33,3.5,0.2,65,Y,-0.38,P,7,P,95,2,,-58,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,4,11839,6,2,7,3,35,3.5,0.12,69,Y,-0.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,6,11843,8,1,7,1,30.5,3.5,0.78,69,Y,0.24,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +4,6,11871,4,1,7,2,26.5,3.5,-0.32,67,Y,0.05,P,7,P,94,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,610.5263045,e 580-640,e 580-640,0.9798045,3.5 +1,1,11876,1,1,3,4,27,3.5,-2.04,68,Y,-1.96,F,7,P,95,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,618.421041,e 580-640,e 580-640,0.9798045,3.5 +10,10,11909,10,1,7,4,42,3.5,1.7,69,Y,1.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +4,5,11915,4,2,7,4,44,3.5,-0.26,67,Y,-0.09,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +,,11916,3,2,7,5,41,3.5,-0.55,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +10,9,11937,10,1,7,3,36.5,3.5,1.37,68,Y,1.11,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.4210345,g 700+,h 760-820,0.9798045,3.5 +4,4,11941,5,1,8,1,44,3.5,-0.2,66,Y,-0.46,P,7,P,94,1,4,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +3,4,11949,3,1,7,4,38,3.5,-0.65,69,Y,-0.45,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,9,11951,10,1,7,4,46,3.5,1.28,65,Y,0.9,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +4,8,11966,4,1,7,2,31,3.5,-0.41,69,Y,0.69,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +10,10,11975,10,1,7,3,31.5,3.5,2.1,65,Y,2.01,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +7,6,11993,7,2,7,1,36.5,3.5,0.47,69,Y,0.2,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.4210345,g 700+,h 760-820,0.9798045,3.5 +4,4,11994,5,1,7,3,29.5,3.5,-0.21,66,Y,-0.52,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +3,3,12014,4,2,7,3,35,3.5,-0.42,69,Y,-0.82,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,9,12020,9,2,7,4,37,3.5,1.07,60,Y,0.94,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,3,12024,4,2,7,1,42,3.5,-0.46,60,Y,-0.8,P,2,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +9,8,12026,9,2,6,3,25,3.5,1.03,65,Y,0.79,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,586.842095,e 580-640,e 580-640,0.9798045,3.5 +7,8,12053,7,2,7,5,37,3.5,0.6,69,Y,0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,8,12057,8,1,7,1,43,3.5,0.64,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +7,9,12070,8,2,7,3,45,3.5,0.53,68,Y,1.03,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,902.631555,g 700+,i 820+,0.9798045,3.5 +9,8,12073,9,1,7,5,38,3.5,0.97,68,Y,0.73,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,2,12083,2,1,7,4,35,3.5,-0.83,66,Y,-1.25,F,7,F,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,1,12097,2,1,7,3,36,3.5,-1.07,67,Y,-1.64,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,9,12099,7,2,7,4,47,3.5,0.48,54,Y,1.24,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +9,9,12130,9,1,6,1,43,3.5,1.1,69,Y,1.14,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +8,8,12141,8,2,7,4,43,3.5,0.67,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +6,6,12152,6,2,7,1,42,3.5,0.24,68,Y,0.03,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +9,7,12198,9,1,7,3,42,3.5,0.89,58,Y,0.45,P,7,P,94,1,1,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,12202,10,1,7,3,39,3.5,1.41,59,Y,1.66,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +3,3,12208,4,1,7,5,46,3.5,-0.52,69,Y,-0.7,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +5,7,12218,6,2,7,1,39,3.5,0.06,68,Y,0.54,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,1,12230,2,2,7,4,34.5,3.5,-1.09,54,Y,-1.36,F,7,F,95,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,736.8420885,g 700+,g 700-760,0.9798045,3.5 +3,3,12234,3,2,6,1,24,3.5,-0.51,68,Y,-0.78,F,7,P,96,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,571.052622,d 520-580,d 520-580,0.9798045,3.5 +5,5,12236,5,2,4,4,26,3.5,-0.07,68,Y,-0.02,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,602.631568,e 580-640,e 580-640,0.9798045,3.5 +3,3,12249,3,1,7,5,32,3.5,-0.77,69,Y,-0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,12250,7,1,7,5,43,3.5,0.58,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +,,12293,,2,7,5,38.5,3.5,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,799.9999805,g 700+,h 760-820,0.9798045,3.5 +10,10,12310,10,1,7,3,39,3.5,1.44,62,Y,2.54,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,9,12313,9,2,7,1,38,3.5,1.04,68,Y,1.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,4,12329,4,1,7,1,33,3.5,-0.43,67,Y,-0.28,P,7,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,7,12334,7,2,7,3,30.5,3.5,0.27,68,Y,0.36,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +7,8,12351,7,1,7,5,47,3.5,0.61,69,Y,0.72,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +9,8,12377,9,1,7,1,41,3.5,1.11,69,Y,0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +5,6,12411,6,2,7,3,36,3.5,-0.01,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,8,12415,7,1,7,5,47,3.5,0.47,69,Y,0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +7,6,12472,7,2,6,5,43,3.5,0.52,70,Y,0.21,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +3,3,12503,3,1,7,4,36,3.5,-0.6,69,Y,-0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,4,12504,3,1,7,3,31,3.5,-0.53,67,Y,-0.4,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +9,8,12517,9,2,7,1,44,3.5,1,67,Y,0.61,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +,,12547,,1,7,1,40,3.5,,69,Y,0.67,F,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +9,9,12552,9,1,7,2,33,3.5,1.06,60,Y,0.89,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,2,12573,4,1,3,5,35,3.5,-0.3,69,Y,-1,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,12580,,2,7,4,37,3.5,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,1,12585,1,2,1,4,27.5,3.5,-1.54,59,Y,-2.14,F,7,P,96,1,1,-52,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,5,626.3157775,e 580-640,e 580-640,0.9798045,3.5 +10,9,12588,10,2,7,4,44,3.5,1.72,62,Y,1.18,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +6,7,12591,6,2,7,1,37,3.5,0.12,66,Y,0.3,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,12639,10,1,7,4,42,3.5,1.85,65,Y,2.09,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,12659,10,1,7,3,40,3.5,1.33,68,Y,1.87,P,2,P,94,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +10,9,12673,10,2,7,3,41,3.5,1.55,69,Y,1.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +6,7,12683,6,1,7,3,35,3.5,0.2,66,Y,0.36,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,12700,,1,7,3,39,3.5,,50,Y,,P,2,P,95,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,10,12705,10,1,7,1,42,3.5,1.31,66,Y,1.54,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +,,12727,,2,7,5,37,3.5,,62,Y,,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,7,12746,8,1,7,1,33.5,3.5,0.74,68,Y,0.49,P,2,P,95,1,1,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.0526155,g 700+,g 700-760,0.9798045,3.5 +8,8,12762,8,1,7,4,42,3.5,0.71,67,Y,0.73,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +6,4,12763,7,2,7,3,32.7,3.5,0.28,53,Y,-0.32,P,7,P,95,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.4210371,g 700+,g 700-760,0.9798045,3.5 +10,10,12782,10,2,7,1,34.5,3.5,1.89,66,Y,1.7,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.8420885,g 700+,g 700-760,0.9798045,3.5 +3,3,12796,4,2,7,3,29.5,3.5,-0.5,67,Y,-0.65,P,7,P,94,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +9,9,12815,9,2,7,1,48,3.5,1.02,66,Y,0.98,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +4,4,12823,5,2,7,2,30,3.5,-0.21,68,Y,-0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,665.78946,f 640-700,f 640-700,0.9798045,3.5 +6,3,12824,6,2,7,1,41,3.5,0.27,65,Y,-0.79,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +6,6,12825,6,2,7,4,44,3.5,0.13,65,Y,0.21,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +8,10,12833,8,1,7,3,41,3.5,0.83,69,Y,1.38,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +10,10,12840,10,1,7,3,40,3.5,1.54,69,Y,1.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +9,10,12867,9,2,7,1,42,3.5,1.11,68,Y,1.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +8,9,12889,8,2,7,2,34,3.5,0.78,68,Y,1.15,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,728.947352,g 700+,g 700-760,0.9798045,3.5 +4,4,12890,4,2,7,3,36,3.5,-0.39,63,Y,-0.35,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +1,1,12896,1,2,3,4,38,3.5,-1.3,70,Y,-1.61,P,7,P,94,1,3,-63,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,8,12929,7,1,7,1,38,3.5,0.4,70,Y,0.63,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,7,12946,8,1,7,5,37,3.5,0.75,48,Y,0.47,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,7,12972,8,2,7,4,47,3.5,0.62,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +4,4,12986,4,1,7,4,32,3.5,-0.26,69,Y,-0.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,697.368406,f 640-700,f 640-700,0.9798045,3.5 +1,1,12991,1,1,7,4,42,3.5,-1.64,65,Y,-1.76,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +,,12997,8,2,7,5,47,3.5,0.91,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +9,9,13013,9,1,7,1,38,3.5,0.98,49,Y,1.19,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,4,13033,4,2,7,4,40,3.5,-0.39,66,Y,-0.49,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +7,7,13034,7,2,7,1,36,3.5,0.39,67,Y,0.44,P,7,P,95,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,9,13039,10,1,7,3,38,3.5,1.29,68,Y,0.94,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,5,13052,6,1,7,3,32.5,3.5,0.14,69,Y,-0.16,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.2631425,g 700+,g 700-760,0.9798045,3.5 +7,6,13063,7,1,7,1,41,3.5,0.52,69,Y,0.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +10,9,13073,10,2,7,1,33,3.5,1.34,68,Y,1.28,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,3,13100,4,1,3,3,33,3.5,-0.49,57,Y,-0.71,P,7,P,95,2,2,-50,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,13135,4,1,2,5,46,3.5,-0.3,66,Y,,P,7,P,95,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +4,6,13145,5,1,7,1,41,3.5,-0.17,66,Y,0.13,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +2,5,13166,2,1,7,3,36.5,3.5,-0.93,61,Y,-0.28,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.4210345,g 700+,h 760-820,0.9798045,3.5 +4,5,13170,4,1,7,5,46,3.5,-0.31,68,Y,-0.14,P,7,P,94,1,1,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +8,7,13179,8,2,7,1,34,3.5,0.68,55,Y,0.49,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,3,13180,3,1,7,2,34,3.5,-0.81,69,Y,-0.82,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,728.947352,g 700+,g 700-760,0.9798045,3.5 +,,13189,,1,7,1,40,3.5,,53,Y,-1.22,P,7,P,95,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +1,1,13226,1,2,7,1,39,3.5,-1.43,69,Y,-1.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,13230,8,1,7,3,33,3.5,0.72,69,Y,0.6,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,4,13245,5,2,7,5,37,3.5,-0.14,69,Y,-0.44,P,7,P,95,2,2,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,8,13288,8,2,7,3,37,3.5,0.62,69,Y,0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,2,13300,3,1,7,3,40,3.5,-0.61,69,Y,-1.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +2,2,13343,2,2,7,2,29,3.5,-1,68,Y,-1.16,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +4,3,13363,4,1,7,5,39,3.5,-0.44,71,Y,-0.52,P,7,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,8,13375,9,2,7,3,36,3.5,1.03,57,Y,0.82,P,7,P,95,2,2,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +1,2,13376,1,1,7,3,27,3.5,-1.31,64,Y,-1.12,F,7,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,618.421041,e 580-640,e 580-640,0.9798045,3.5 +10,9,13390,10,2,7,3,34,3.5,1.88,68,Y,0.93,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,4,13448,5,2,7,5,42,3.5,0.03,69,Y,-0.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +1,1,13457,1,2,7,5,46,3.5,-1.43,69,Y,-1.53,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +4,4,13468,4,1,7,3,38,3.5,-0.39,70,Y,-0.3,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,7,13472,6,1,7,4,36,3.5,0.24,69,Y,0.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,13485,10,1,8,1,37,3.5,1.38,67,Y,1.3,P,7,P,94,1,3,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,2,13487,2,2,7,1,39,3.5,-1.22,70,Y,-0.94,P,2,P,94,1,5,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,10,13496,9,1,7,3,39,3.5,1.11,70,Y,1.47,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,7,13506,8,2,7,2,34,3.5,0.72,68,Y,0.36,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,10,13528,2,2,7,4,33,3.5,-0.82,66,Y,1.59,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,13567,10,1,7,3,41,3.5,1.69,67,Y,2.03,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +3,5,13578,3,2,7,2,31,3.5,-0.66,61,Y,-0.21,P,2,P,96,2,2,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +,,13590,10,1,7,5,45,3.5,2.09,64,Y,,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +1,3,13631,1,1,7,1,35,3.5,-1.41,59,Y,-0.84,F,7,P,96,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,1,13651,3,1,7,1,34,3.5,-0.54,70,Y,-1.51,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +4,2,13694,4,1,7,5,43,3.5,-0.37,69,Y,-1.06,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +3,3,13718,3,2,7,1,39,3.5,-0.71,64,Y,-0.71,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,10,13727,8,1,8,3,36,3.5,0.76,69,Y,1.51,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,6,13738,6,1,7,1,39,3.5,0.19,67,Y,0.21,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +1,1,13740,1,1,2,3,37,3.5,-1.91,68,Y,-1.54,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +,,13762,,2,7,1,37,3.5,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,4,13784,3,1,7,1,34,3.5,-0.51,56,Y,-0.53,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,2,13823,2,1,7,5,43,3.5,-0.94,69,Y,-0.97,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +3,4,13829,3,2,7,3,29,3.5,-0.61,69,Y,-0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +4,6,13843,4,2,7,3,34,3.5,-0.34,60,Y,0.11,F,7,P,96,2,2,-53,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,5,13847,6,1,7,3,35,3.5,0.05,69,Y,-0.1,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +10,10,13875,10,2,7,1,35,3.5,1.83,67,Y,1.78,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +1,2,13908,1,2,7,5,30.7,3.5,-1.45,65,Y,-1.04,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,676.8420911,f 640-700,f 640-700,0.9798045,3.5 +10,7,13935,10,2,7,1,42,3.5,1.42,61,Y,0.33,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +3,2,13952,3,1,7,3,29.5,3.5,-0.58,67,Y,-0.97,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +,,13989,3,1,7,5,43,3.5,-0.69,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +4,5,14009,4,2,7,5,44,3.5,-0.35,24,Y,-0.17,P,7,P,94,1,3,-17,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +4,2,14028,4,1,7,4,37,3.5,-0.29,69,Y,-0.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,2,14033,3,1,7,3,32,3.5,-0.79,65,Y,-0.96,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,14035,,1,7,5,43,3.5,,69,Y,,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +6,8,14083,6,1,7,1,39,3.5,0.26,55,Y,0.66,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,5,14131,4,1,7,4,33.5,3.5,-0.26,66,Y,-0.13,P,2,P,95,1,5,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,721.0526155,g 700+,g 700-760,0.9798045,3.5 +6,4,14138,6,1,7,4,36.7,3.5,0.12,68,Y,-0.37,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,771.5789291,g 700+,h 760-820,0.9798045,3.5 +1,2,14145,2,2,7,3,40,3.5,-1.2,69,Y,-1.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +6,7,14153,6,1,7,3,38,3.5,0.17,57,Y,0.33,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,3,14156,4,1,7,1,35,3.5,-0.47,47,Y,-0.55,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +10,10,14163,10,2,7,3,39,3.5,1.61,67,Y,1.49,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,8,14166,6,1,7,5,41,3.5,0.07,50,Y,0.63,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +6,7,14192,6,2,7,4,43,3.5,0.21,59,Y,0.53,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +8,7,14193,8,1,7,1,33,3.5,0.69,68,Y,0.29,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,3,14208,5,1,7,3,24,3.5,-0.08,53,Y,-0.58,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,571.052622,d 520-580,d 520-580,0.9798045,3.5 +6,8,14210,7,1,7,4,28,3.5,0.26,65,Y,0.56,F,7,P,96,,1,-58,female,,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,634.210514,e 580-640,e 580-640,0.9798045,3.5 +,,14212,,1,2,5,39,3.5,,64,Y,,P,7,P,94,1,3,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,4,14217,5,2,7,2,33,3.5,-0.05,69,Y,-0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,713.157879,g 700+,g 700-760,0.9798045,3.5 +9,7,14223,9,1,4,3,29,3.5,1.2,68,Y,0.39,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +8,6,14240,8,2,7,3,35,3.5,0.69,55,Y,0.19,F,7,P,95,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,3,14265,2,1,7,5,45,3.5,-0.96,59,Y,-0.82,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +6,6,14270,7,1,7,4,33.5,3.5,0.26,69,Y,0.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,721.0526155,g 700+,g 700-760,0.9798045,3.5 +9,9,14281,9,1,7,1,37,3.5,0.96,68,Y,1.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,7,14299,9,1,7,1,40,3.5,0.92,69,Y,0.35,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +6,7,14311,6,2,7,1,29,3.5,0.12,69,Y,0.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,649.999987,f 640-700,f 640-700,0.9798045,3.5 +7,8,14334,7,2,7,1,42,3.5,0.54,57,Y,0.6,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +3,3,14375,3,1,7,4,40,3.5,-0.56,68,Y,-0.6,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +3,3,14376,4,1,2,1,34,3.5,-0.45,69,Y,-0.58,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,7,14386,8,2,7,1,48,3.5,0.85,63,Y,0.53,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +10,9,14418,10,1,7,4,39.5,3.5,1.31,68,Y,1.05,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.7894535,g 700+,h 760-820,0.9798045,3.5 +8,9,14428,8,2,8,3,31,3.5,0.78,68,Y,0.89,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +7,8,14441,7,1,7,3,29.5,3.5,0.39,69,Y,0.68,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +2,3,14450,2,1,7,1,40,3.5,-0.83,67,Y,-0.75,P,2,P,94,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +4,4,14452,5,1,2,4,27,3.5,-0.21,66,Y,-0.48,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,618.421041,e 580-640,e 580-640,0.9798045,3.5 +9,9,14455,9,2,7,4,34,3.5,1.14,63,Y,1.08,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,7,14488,8,1,3,3,31,3.5,0.77,69,Y,0.27,P,7,P,94,1,1,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +6,7,14499,7,1,7,3,33,3.5,0.3,67,Y,0.34,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +2,8,14500,2,1,7,1,40,3.5,-0.95,69,Y,0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +3,4,14504,3,2,3,5,32,3.5,-0.83,61,Y,-0.42,P,7,P,94,1,4,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,697.368406,f 640-700,f 640-700,0.9798045,3.5 +9,7,14506,9,1,7,3,34.5,3.5,1.1,69,Y,0.39,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.8420885,g 700+,g 700-760,0.9798045,3.5 +2,3,14519,2,2,7,1,22,3.5,-0.97,69,Y,-0.75,F,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,539.473676,d 520-580,d 520-580,0.9798045,3.5 +5,3,14525,5,1,7,5,46,3.5,0.06,64,Y,-0.56,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +4,2,14615,4,1,7,4,38,3.5,-0.43,69,Y,-1.08,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,4,14617,4,2,7,2,37,3.5,-0.42,69,Y,-0.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,2,14628,1,1,7,1,46,3.5,-1.45,70,Y,-1.16,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +9,10,14635,9,1,3,3,40,3.5,1.11,69,Y,1.38,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +10,9,14677,10,2,8,4,38.5,3.5,1.33,67,Y,1.2,P,7,P,94,1,2,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,799.9999805,g 700+,h 760-820,0.9798045,3.5 +8,7,14684,8,2,7,4,43,3.5,0.75,67,Y,0.34,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +2,3,14706,2,1,2,4,37,3.5,-0.96,67,Y,-0.71,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,2,14710,1,1,7,1,36,3.5,-1.41,69,Y,-0.95,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,7,14716,9,2,7,3,33.5,3.5,0.91,68,Y,0.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +6,6,14763,6,1,7,1,41,3.5,0.12,70,Y,0.12,P,2,P,94,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +2,2,14767,2,1,7,1,39,3.5,-1.03,42,Y,-1.18,F,6,P,95,1,4,-36,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,5,14792,5,2,7,4,41,3.5,-0.04,66,Y,-0.21,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +10,9,14794,10,2,7,1,46,3.5,1.54,69,Y,1.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +6,6,14815,6,1,7,4,36,3.5,0.2,69,Y,0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,4,14852,8,2,7,3,29,3.5,0.58,66,Y,-0.29,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +7,10,14853,8,1,7,2,32,3.5,0.53,64,Y,2.13,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,697.368406,f 640-700,f 640-700,0.9798045,3.5 +1,2,14868,1,2,7,3,30,3.5,-1.65,54,Y,-1.26,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +6,2,14904,6,2,2,4,38,3.5,0.12,69,Y,-0.89,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,10,14911,9,2,7,5,40,3.5,1.27,68,Y,1.65,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +5,6,14934,5,1,7,3,35,3.5,-0.13,52,Y,0.04,P,7,P,95,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +1,1,14940,1,2,7,3,38,3.5,-1.95,67,Y,-1.69,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,7,14950,4,2,7,2,31,3.5,-0.36,60,Y,0.27,P,2,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +9,9,14956,9,1,3,6,18,3.5,0.95,68,Y,0.98,F,7,F,94,1,1,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,476.315784,c 460-520,c 460-520,0.9798045,3.5 +9,9,14964,9,2,7,4,34,3.5,1.15,69,Y,0.89,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,8,14976,8,2,7,1,41,3.5,0.73,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +3,9,14987,3,2,7,1,42,3.5,-0.54,61,Y,1.26,P,7,P,95,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +,,14995,,2,7,3,38,3.5,,68,Y,,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,6,15015,4,1,7,4,38,3.5,-0.32,68,Y,0.11,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,3,15045,2,1,7,3,39,3.5,-0.9,70,Y,-0.88,P,2,P,94,1,3,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,6,15046,5,2,7,3,40,3.5,-0.21,55,Y,0.1,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +,,15048,4,1,7,5,44,3.5,-0.23,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +6,8,15062,6,2,7,4,38,3.5,0.13,67,Y,0.58,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,4,15069,3,2,7,3,30.5,3.5,-0.71,68,Y,-0.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +9,9,15093,9,2,7,1,32,3.5,1.03,69,Y,1.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,10,15104,10,1,7,3,39,3.5,1.96,49,Y,1.85,P,7,P,95,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,7,15111,7,1,7,1,33,3.5,0.38,46,Y,0.34,P,7,P,94,1,4,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +7,5,15113,7,1,7,1,38,3.5,0.46,52,Y,-0.18,P,7,P,95,2,3,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,6,15117,4,2,7,1,43,3.5,-0.41,63,Y,0.28,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +3,6,15144,3,2,7,4,41,3.5,-0.65,62,Y,0.13,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +3,3,15146,4,1,2,1,37,3.5,-0.48,68,Y,-0.84,F,7,P,95,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,5,15181,5,1,7,1,35,3.5,-0.05,67,Y,-0.18,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +4,5,15204,4,1,7,1,40,3.5,-0.3,65,Y,-0.03,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +10,10,15205,10,2,7,3,42,3.5,2.37,62,Y,2.83,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +7,5,15215,7,1,7,1,34,3.5,0.33,67,Y,-0.01,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,4,15221,2,1,7,1,41,3.5,-1.14,64,Y,-0.47,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +3,2,15227,4,1,7,3,34,3.5,-0.44,68,Y,-1.22,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,7,15248,8,1,7,3,37,3.5,0.82,61,Y,0.42,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,4,15260,5,1,7,4,36,3.5,-0.13,66,Y,-0.32,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,3,15290,3,1,7,1,40,3.5,-0.61,68,Y,-0.6,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +1,1,15298,2,1,7,3,28,3.5,-1.18,69,Y,-1.42,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +,,15310,,1,7,1,36,3.5,,34,Y,,P,7,P,94,1,2,-27,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,7,15350,8,2,7,3,33,3.5,0.65,67,Y,0.26,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,6,15369,6,2,7,3,35,3.5,0.19,69,Y,0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,5,15385,6,1,7,3,38.5,3.5,0.06,68,Y,-0.07,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.9999805,g 700+,h 760-820,0.9798045,3.5 +10,10,15389,10,1,7,4,33,3.5,1.29,69,Y,1.46,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,5,15396,3,1,2,5,44,3.5,-0.58,66,Y,-0.14,P,7,P,94,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +8,7,15413,8,2,7,5,45,3.5,0.9,70,Y,0.48,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +10,6,15477,10,2,7,4,46,3.5,1.53,68,Y,0.21,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +7,8,15514,7,1,7,4,34,3.5,0.48,58,Y,0.66,P,2,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,3,15524,3,1,7,2,33,3.5,-0.6,69,Y,-0.82,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,15535,10,2,7,1,43,3.5,1.36,66,Y,1.34,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +,,15541,,2,7,3,42,3.5,,41,Y,,P,2,P,95,1,3,-39,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +7,4,15572,7,1,7,4,33,3.5,0.34,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,15582,,2,7,5,40,3.5,,54,Y,,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +5,6,15589,5,1,7,4,46,3.5,-0.06,69,Y,0.07,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +9,7,15618,9,1,7,3,32,3.5,0.92,68,Y,0.54,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +6,5,15663,6,2,7,3,37,3.5,0.1,68,Y,-0.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,2,15672,1,2,7,3,37,3.5,-1.49,69,Y,-1.25,F,7,F,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,15675,9,1,7,3,25,3.5,1.15,69,Y,0.93,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,586.842095,e 580-640,e 580-640,0.9798045,3.5 +,,15691,,1,7,4,40,3.5,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +7,7,15699,7,2,2,4,35,3.5,0.34,69,Y,0.27,P,7,P,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,2,15705,2,2,7,1,41,3.5,-0.83,69,Y,-0.94,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +6,6,15708,6,2,7,5,42,3.5,0.3,69,Y,0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +9,9,15710,9,2,7,4,44,3.5,1.25,61,Y,1.16,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +10,10,15724,10,1,7,1,36,3.5,1.6,66,Y,1.32,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,7,15741,8,2,7,3,33,3.5,0.62,69,Y,0.34,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,6,15747,7,1,7,1,44,3.5,0.3,63,Y,0.15,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +1,1,15764,2,2,7,5,39,3.5,-1.21,67,Y,-1.72,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,15772,,1,7,1,38,3.5,,70,Y,,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,7,15777,7,1,7,2,34,3.5,0.42,69,Y,0.5,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,4,15815,3,1,7,4,42,3.5,-0.52,67,Y,-0.38,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +8,9,15830,9,1,7,1,35,3.5,0.9,67,Y,1.05,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,8,15892,9,2,3,4,42,3.5,0.88,68,Y,0.82,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +1,1,15898,1,2,7,3,34,3.5,-1.99,41,Y,-1.92,F,2,P,96,1,1,-39,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,9,15911,7,1,7,3,32,3.5,0.36,67,Y,0.9,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +6,8,15917,6,1,7,4,38,3.5,0.2,65,Y,0.7,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,5,15965,6,2,7,3,36,3.5,-0.01,69,Y,-0.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +,,15975,8,1,7,1,39,3.5,0.76,56,Y,,P,2,P,96,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,5,15979,5,1,7,3,36,3.5,-0.16,68,Y,-0.05,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,8,15991,7,1,7,4,39,3.5,0.48,67,Y,0.62,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,9,16010,9,1,7,3,38,3.5,1.05,68,Y,0.97,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,8,16019,8,2,7,1,33,3.5,0.84,66,Y,0.69,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,16020,10,1,7,4,34,3.5,1.54,68,Y,1.66,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,3,16023,5,1,7,3,31.3,3.5,-0.12,68,Y,-0.65,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.3157749,f 640-700,f 640-700,0.9798045,3.5 +4,5,16026,5,2,7,3,33,3.5,-0.22,63,Y,-0.27,F,6,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,16033,10,1,7,3,42,3.5,2.5,52,Y,2.05,P,7,P,94,2,4,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +9,10,16035,9,2,7,4,42,3.5,1.13,55,Y,1.33,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +8,9,16045,8,1,7,1,39,3.5,0.84,69,Y,1.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,6,16051,6,2,7,3,39,3.5,0.17,59,Y,0.2,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,16055,8,1,7,3,39,3.5,0.64,64,Y,0.85,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,16070,1,1,3,5,37,3.5,-1.74,70,Y,,F,7,P,95,1,2,-63,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,4,16135,7,1,7,3,37,3.5,0.26,56,Y,-0.45,P,7,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,10,16146,9,2,7,5,45,3.5,1.31,65,Y,1.27,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +,,16164,,1,5,4,26,3.5,,66,Y,-1.59,F,7,P,96,1,3,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,602.631568,e 580-640,e 580-640,0.9798045,3.5 +8,6,16174,8,1,7,3,37,3.5,0.78,61,Y,0.17,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,9,16180,10,2,7,1,35,3.5,1.36,69,Y,1.21,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +4,4,16181,4,2,7,4,46,3.5,-0.39,68,Y,-0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +10,10,16194,10,1,7,1,38,3.5,1.48,70,Y,1.76,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +1,2,16205,1,1,7,3,27,3.5,-1.4,67,Y,-1.06,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,618.421041,e 580-640,e 580-640,0.9798045,3.5 +8,8,16207,8,2,7,1,35,3.5,0.75,68,Y,0.77,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +7,6,16240,7,2,7,1,44,3.5,0.35,66,Y,0.28,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +1,1,16248,1,2,7,1,41,3.5,-1.86,68,Y,-2.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +9,5,16251,9,1,7,4,46,3.5,0.94,68,Y,-0.01,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +10,8,16257,10,1,7,4,31.5,3.5,1.32,65,Y,0.72,P,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +7,8,16274,7,2,7,1,39,3.5,0.46,66,Y,0.72,P,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,4,16275,3,2,7,1,38,3.5,-0.79,69,Y,-0.52,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,8,16284,8,1,7,1,42,3.5,0.83,66,Y,0.72,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +,,16293,,2,7,2,26,3.5,,67,Y,-1.41,F,7,F,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,602.631568,e 580-640,e 580-640,0.9798045,3.5 +1,1,16310,1,2,7,4,41,3.5,-2.24,58,Y,-1.97,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +7,5,16316,7,1,7,1,28,3.5,0.44,62,Y,0,F,7,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,634.210514,e 580-640,e 580-640,0.9798045,3.5 +1,1,16319,1,1,6,5,32,3.5,-1.59,67,Y,-1.82,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,16331,,1,2,3,37,3.5,,69,Y,,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,16343,10,1,7,3,41,3.5,1.88,68,Y,1.81,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +8,8,16364,8,1,7,1,35,3.5,0.62,69,Y,0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,8,16383,5,2,7,2,37,3.5,-0.1,69,Y,0.56,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,6,16393,8,1,7,2,29,3.5,0.53,67,Y,0.19,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +4,4,16394,4,2,7,3,33.5,3.5,-0.35,69,Y,-0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +9,10,16406,9,1,7,1,39,3.5,1.21,69,Y,1.5,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,7,16409,6,1,7,3,40,3.5,0.15,68,Y,0.42,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +1,1,16411,2,1,7,3,36,3.5,-1.19,69,Y,-1.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,16429,10,2,7,1,39,3.5,2.85,53,Y,2.94,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,6,16442,8,2,7,4,47,3.5,0.62,65,Y,0.24,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +7,5,16448,7,2,7,3,37,3.5,0.47,67,Y,-0.1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,9,16471,10,2,7,4,47,3.5,1.63,64,Y,1.15,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +3,3,16482,4,2,7,3,34,3.5,-0.42,69,Y,-0.65,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,3,16491,4,2,7,1,36,3.5,-0.5,66,Y,-0.63,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,4,16504,4,1,7,1,40,3.5,-0.41,69,Y,-0.33,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,8,16519,8,1,7,5,48,3.5,0.93,58,Y,0.57,P,2,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +8,8,16525,8,2,7,5,43,3.5,0.83,69,Y,0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +3,3,16532,3,2,7,2,30,3.5,-0.71,65,Y,-0.74,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,665.78946,f 640-700,f 640-700,0.9798045,3.5 +9,9,16535,9,2,7,3,41,3.5,1.03,58,Y,1.05,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +5,5,16543,5,1,7,3,37,3.5,-0.13,68,Y,-0.13,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,2,16545,3,1,7,4,32.5,3.5,-0.58,60,Y,-0.92,F,7,P,95,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,705.2631425,g 700+,g 700-760,0.9798045,3.5 +6,3,16549,6,2,7,4,45,3.5,0.15,68,Y,-0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +8,7,16578,8,2,7,4,33,3.5,0.58,68,Y,0.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +9,9,16581,9,2,7,1,41,3.5,0.97,69,Y,1.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +7,6,16604,7,1,7,3,33,3.5,0.32,68,Y,0.23,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,3,16606,3,2,7,1,40,3.5,-0.61,60,Y,-0.87,P,2,P,96,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,8,16640,8,1,5,4,33,3.5,0.79,63,Y,0.64,P,7,P,95,1,4,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,3,16652,3,2,7,5,44,3.5,-0.67,57,Y,-0.69,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +8,8,16654,8,1,7,4,45,3.5,0.82,64,Y,0.69,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +10,10,16659,10,2,7,2,31,3.5,1.54,68,Y,1.69,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +9,8,16664,9,1,7,4,44,3.5,1.27,69,Y,0.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +9,10,16668,9,1,7,1,44,3.5,1.06,68,Y,1.55,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +4,5,16670,4,1,7,3,35,3.5,-0.41,59,Y,-0.25,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,7,16671,6,2,7,5,47,3.5,0.27,60,Y,0.27,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +5,2,16691,5,2,2,1,29,3.5,0.04,64,Y,-0.92,P,7,P,94,1,2,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,649.999987,f 640-700,f 640-700,0.9798045,3.5 +7,8,16693,7,2,7,3,37,3.5,0.49,68,Y,0.61,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,5,16694,8,1,7,3,38,3.5,0.62,54,Y,-0.11,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,8,16695,8,1,3,4,42,3.5,0.55,68,Y,0.84,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +3,8,16706,3,1,6,4,44,3.5,-0.52,68,Y,0.68,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +6,7,16708,7,1,7,3,33,3.5,0.28,69,Y,0.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,2,16710,4,1,7,3,39,3.5,-0.41,69,Y,-1.26,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,4,16715,4,2,7,1,37.5,3.5,-0.28,69,Y,-0.47,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.2105075,g 700+,h 760-820,0.9798045,3.5 +9,9,16719,9,2,7,4,32,3.5,1.04,63,Y,1.05,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,697.368406,f 640-700,f 640-700,0.9798045,3.5 +2,1,16727,2,2,7,4,35.5,3.5,-1.14,68,Y,-2.06,F,2,F,96,,4,-66,male,,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,752.6315615,g 700+,g 700-760,0.9798045,3.5 +8,8,16734,8,1,7,3,35,3.5,0.76,69,Y,0.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,3,16736,4,2,7,4,41,3.5,-0.47,69,Y,-0.54,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +9,9,16752,9,2,7,1,34,3.5,1.14,69,Y,1.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,5,16762,6,1,7,4,43,3.5,0.19,69,Y,0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +1,2,16777,2,1,5,3,33,3.5,-1.12,69,Y,-1.1,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,5,16787,6,2,7,3,38,3.5,0.19,67,Y,-0.26,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,9,16836,8,1,7,3,31,3.5,0.6,69,Y,1.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +4,4,16849,4,1,7,1,38,3.5,-0.41,69,Y,-0.5,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,4,16862,4,1,7,1,31,3.5,-0.29,63,Y,-0.48,F,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,681.578933,f 640-700,f 640-700,0.9798045,3.5 +7,7,16865,7,1,7,1,38,3.5,0.48,68,Y,0.43,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,9,16871,9,1,7,3,35,3.5,1.08,69,Y,1.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,8,16893,9,2,7,4,46,3.5,0.9,69,Y,0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +3,6,16900,4,1,7,3,42,3.5,-0.42,69,Y,0.16,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +6,6,16906,6,1,7,3,34,3.5,0.17,69,Y,0.05,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +,,16908,,2,7,5,39,3.5,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,5,16910,7,2,7,4,47,3.5,0.39,69,Y,-0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +8,8,16916,9,2,7,1,42,3.5,0.88,69,Y,0.6,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +3,4,16920,3,2,7,1,42,3.5,-0.61,69,Y,-0.37,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,16962,10,2,7,1,42,3.5,1.63,66,Y,1.48,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +1,1,16964,2,1,7,1,40,3.5,-1.21,58,Y,-1.77,F,7,P,96,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +10,10,16969,10,2,7,3,37,3.5,1.95,69,Y,1.99,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,3,16970,2,2,7,3,36.5,3.5,-0.87,69,Y,-0.81,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.4210345,g 700+,h 760-820,0.9798045,3.5 +3,4,16999,4,1,2,5,40.5,3.5,-0.47,68,Y,-0.26,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,831.5789265,g 700+,i 820+,0.9798045,3.5 +6,7,17000,6,1,7,3,36,3.5,0.2,63,Y,0.31,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,7,17026,7,1,7,1,47,3.5,0.35,65,Y,0.53,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,934.210501,g 700+,i 820+,0.9798045,3.5 +7,5,17032,7,2,2,4,46,3.5,0.41,66,Y,-0.16,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +7,8,17035,7,2,7,1,40,3.5,0.46,61,Y,0.76,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,9,17043,8,1,7,3,35,3.5,0.76,68,Y,1.16,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,9,17046,8,1,7,1,42,3.5,0.81,69,Y,1.17,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +2,2,17053,2,1,7,1,34,3.5,-0.93,69,Y,-1.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,7,17058,7,2,7,3,33,3.5,0.29,67,Y,0.32,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,3,17071,3,1,4,1,29,3.5,-0.62,69,Y,-0.7,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,649.999987,f 640-700,f 640-700,0.9798045,3.5 +7,8,17078,7,2,7,4,41,3.5,0.46,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +,,17104,,1,7,,37,3.5,0.8,58,Y,1.17,P,2,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,2,17124,2,2,7,3,35,3.5,-1.19,67,Y,-1.05,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,1,17194,3,2,5,5,37,3.5,-0.8,69,Y,-1.4,F,7,P,96,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +,,17206,,2,7,5,39,3.5,,68,Y,,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,9,17211,8,2,7,1,38,3.5,0.72,68,Y,1.05,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +,,17243,,1,7,5,37,3.5,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,17249,10,1,7,1,32,3.5,1.64,69,Y,1.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +3,3,17262,3,1,7,2,37,3.5,-0.61,65,Y,-0.67,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,3,17264,6,1,7,3,33,3.5,0,69,Y,-0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,9,17269,10,2,7,4,45,3.5,1.82,69,Y,1.06,P,7,P,95,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +8,8,17314,8,1,3,1,32,3.5,0.71,69,Y,0.73,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +2,4,17333,3,1,7,3,42,3.5,-0.71,69,Y,-0.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +3,3,17340,4,2,7,4,39,3.5,-0.49,69,Y,-0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,5,17359,6,1,7,1,39,3.5,0.28,67,Y,-0.04,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +1,2,17367,1,1,7,4,37,3.5,-1.69,66,Y,-1.26,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,17377,10,2,7,1,45,3.5,2.22,65,Y,1.96,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +4,3,17381,5,2,7,5,46,3.5,-0.19,68,Y,-0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +5,5,17386,6,1,7,3,37,3.5,0.02,64,Y,-0.22,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,1,17395,1,1,7,4,42,3.5,-1.99,66,Y,-1.74,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +,,17423,4,1,7,5,45,3.5,-0.26,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +4,5,17425,5,2,7,1,39,3.5,-0.18,68,Y,-0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,6,17435,5,1,7,2,35,3.5,-0.28,69,Y,0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,4,17446,4,2,7,5,47,3.5,-0.49,69,Y,-0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +1,2,17456,2,1,2,1,32,3.5,-1.15,68,Y,-1.25,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +4,6,17466,4,2,7,1,39,3.5,-0.24,69,Y,0.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,5,17472,2,2,7,1,33,3.5,-0.88,69,Y,-0.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,5,17502,5,2,7,1,38,3.5,0.03,68,Y,-0.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,8,17503,7,2,7,5,46,3.5,0.57,68,Y,0.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +,,17531,4,1,7,5,44,3.5,-0.32,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +3,4,17561,3,1,7,4,44,3.5,-0.65,69,Y,-0.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +8,7,17567,8,1,5,5,44,3.5,0.67,69,Y,0.45,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +7,5,17572,7,2,7,1,38,3.5,0.35,69,Y,-0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,3,17591,4,1,3,1,28,3.5,-0.42,70,Y,-0.77,P,2,P,94,1,3,-68,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,634.210514,e 580-640,e 580-640,0.9798045,3.5 +5,5,17596,5,2,7,1,31.5,3.5,-0.13,65,Y,-0.21,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +10,10,17606,10,2,7,1,35,3.5,1.63,69,Y,1.78,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,4,17617,6,2,7,3,30,3.5,0.11,67,Y,-0.38,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +3,3,17625,4,1,7,1,35,3.5,-0.43,57,Y,-0.55,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,6,17633,7,2,7,5,46,3.5,0.35,68,Y,0.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +5,6,17649,5,2,7,4,41,3.5,-0.16,69,Y,0.23,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +10,10,17662,10,2,7,1,44,3.5,1.63,59,Y,1.43,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +7,7,17665,7,1,7,3,34,3.5,0.52,68,Y,0.44,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +4,6,17672,4,2,2,3,28,3.5,-0.33,61,Y,-0.01,F,7,P,95,1,2,-54,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +7,7,17701,7,1,7,5,41,3.5,0.37,67,Y,0.49,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +,,17720,,2,7,4,37,3.5,,65,Y,,F,7,P,96,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,4,17744,3,1,7,1,40,3.5,-0.63,64,Y,-0.31,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +,,17762,,2,7,1,39,3.5,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,8,17767,7,1,7,5,44,3.5,0.61,68,Y,0.6,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +10,8,17770,10,2,7,1,41,3.5,1.45,64,Y,0.66,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +9,10,17814,9,1,7,3,35,3.5,1.08,68,Y,2.02,P,2,P,95,2,4,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,5,17822,6,2,2,5,42,3.5,0.15,69,Y,-0.18,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +8,9,17833,8,2,7,5,45,3.5,0.93,63,Y,0.87,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +9,7,17853,9,2,7,3,35,3.5,0.97,68,Y,0.43,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,2,17857,2,2,7,2,36,3.5,-1.05,68,Y,-1.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,9,17871,10,2,7,1,40,3.5,1.39,68,Y,1.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +,,17925,4,1,2,5,39,3.5,-0.4,69,Y,,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,3,17940,5,2,6,5,30.5,3.5,-0.08,68,Y,-0.54,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +5,4,17980,5,2,7,1,30,3.5,0.04,68,Y,-0.26,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,665.78946,f 640-700,f 640-700,0.9798045,3.5 +2,1,18000,2,2,6,3,29,3.5,-0.93,66,Y,-1.42,P,7,P,95,2,2,-59,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +1,1,18011,1,1,3,3,21,3.5,-1.59,67,Y,-1.43,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,523.684203,d 520-580,d 520-580,0.9798045,3.5 +7,7,18017,7,2,7,3,29.5,3.5,0.49,68,Y,0.26,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +10,8,18035,10,2,7,3,38,3.5,1.31,55,Y,0.81,P,7,P,95,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,7,18042,7,1,7,1,36,3.5,0.3,45,Y,0.51,P,7,P,94,1,2,-38,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,8,18050,8,2,7,1,33,3.5,0.81,69,Y,0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,7,18072,3,2,7,4,45,3.5,-0.53,65,Y,0.37,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +9,7,18097,9,2,7,4,46,3.5,0.94,51,Y,0.51,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +10,9,18099,10,2,7,3,32,3.5,1.39,68,Y,1.28,P,6,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,9,18125,10,1,6,4,36,3.5,1.44,66,Y,1.17,P,7,P,94,2,4,-59,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,5,18139,3,1,7,1,38,3.5,-0.71,69,Y,-0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,2,18188,2,1,7,1,36,3.5,-1.09,68,Y,-1.22,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,3,18197,7,1,7,1,32,3.5,0.37,58,Y,-0.64,P,2,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +8,8,18198,8,2,7,1,37,3.5,0.84,53,Y,0.75,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,8,18210,8,1,7,1,37,3.5,0.67,66,Y,0.68,P,7,P,95,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,6,18223,8,2,7,3,35,3.5,0.67,67,Y,0.17,P,2,P,94,1,1,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,8,18226,8,2,7,3,39,3.5,0.76,52,Y,0.68,P,7,P,93,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,10,18254,10,2,7,3,38,3.5,1.33,69,Y,1.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +1,1,18256,1,1,7,4,42,3.5,-1.84,63,Y,-1.76,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +,,18295,,,,4,42,3.5,0.84,67,Y,0.72,P,7,P,94,1,,-60,,0,,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +3,4,18301,3,2,7,1,34,3.5,-0.54,69,Y,-0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,7,18336,8,2,7,1,35,3.5,0.7,69,Y,0.55,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,8,18344,9,1,7,3,39,3.5,1.19,67,Y,0.55,P,7,P,95,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,18346,8,2,7,3,42,3.5,0.79,64,Y,0.85,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +9,9,18352,9,1,7,4,43,3.5,1.22,70,Y,1.16,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +4,4,18367,5,1,7,2,37,3.5,-0.24,69,Y,-0.55,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,5,18379,6,2,7,5,42,3.5,0.2,69,Y,-0.11,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +8,7,18398,8,2,7,4,41,3.5,0.59,68,Y,0.28,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +3,3,18405,3,2,7,1,31,3.5,-0.59,70,Y,-0.81,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,681.578933,f 640-700,f 640-700,0.9798045,3.5 +10,10,18427,10,1,7,1,38,3.5,1.45,68,Y,1.69,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +1,1,18429,2,1,7,3,26,3.5,-1.26,,Y,-1.9,F,2,F,95,1,4,,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,602.631568,e 580-640,e 580-640,0.9798045,3.5 +2,3,18497,2,2,7,1,42,3.5,-1.01,69,Y,-0.87,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +3,5,18498,3,2,7,3,41,3.5,-0.6,69,Y,-0.07,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +2,3,18505,2,1,3,1,27,3.5,-0.92,65,Y,-0.84,P,7,P,94,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,618.421041,e 580-640,e 580-640,0.9798045,3.5 +7,6,18538,7,2,7,1,35,3.5,0.35,65,Y,0.16,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,2,18542,3,2,7,4,25,3.5,-0.64,69,Y,-1.17,F,7,F,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,586.842095,e 580-640,e 580-640,0.9798045,3.5 +4,3,18551,4,2,7,3,31,3.5,-0.37,69,Y,-0.75,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +8,7,18586,8,1,7,1,42,3.5,0.67,69,Y,0.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,18590,10,2,7,4,36,3.5,1.8,67,Y,1.8,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,18593,10,1,7,3,40,3.5,1.65,54,Y,1.82,P,2,P,95,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +7,7,18594,7,2,7,3,38.5,3.5,0.45,69,Y,0.35,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.9999805,g 700+,h 760-820,0.9798045,3.5 +8,7,18602,8,1,7,3,34.5,3.5,0.7,67,Y,0.38,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.8420885,g 700+,g 700-760,0.9798045,3.5 +1,1,18624,1,2,7,5,47,3.5,-1.3,67,Y,-1.37,F,7,P,95,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +,,18628,1,1,7,5,43,3.5,-1.52,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +3,2,18634,3,2,3,5,40,3.5,-0.81,69,Y,-1.25,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +2,1,18659,2,2,2,1,38,3.5,-1.09,69,Y,-1.95,P,2,P,95,1,3,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,3,18734,6,2,7,5,44,3.5,0.24,62,Y,-0.52,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +4,5,18741,5,2,6,1,39,3.5,-0.16,67,Y,-0.17,F,2,P,95,1,3,-65,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,2,18742,2,1,3,4,36,3.5,-0.91,69,Y,-1.01,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,8,18751,7,1,7,1,37,3.5,0.29,47,Y,0.58,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +4,3,18766,4,2,7,4,37,3.5,-0.35,68,Y,-0.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +,,18767,,2,7,6,28,3.5,,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,634.210514,e 580-640,e 580-640,0.9798045,3.5 +4,4,18788,4,1,7,1,40,3.5,-0.3,70,Y,-0.47,F,7,F,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,7,18790,8,2,7,1,40,3.5,0.62,68,Y,0.45,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +,,18809,8,2,7,3,38,3.5,0.77,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,8,18816,8,1,7,1,36,3.5,0.71,69,Y,0.69,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,10,18835,9,2,7,3,35.5,3.5,1.23,68,Y,1.69,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.6315615,g 700+,g 700-760,0.9798045,3.5 +10,9,18841,10,2,7,1,34,3.5,1.34,65,Y,0.9,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,6,18872,8,1,7,2,36,3.5,0.69,61,Y,0.08,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,760.526298,g 700+,h 760-820,0.9798045,3.5 +,,18891,8,1,7,5,43,3.5,0.71,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +8,5,18902,8,1,7,1,32,3.5,0.68,68,Y,-0.11,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,18906,5,2,3,5,38.5,3.5,-0.09,68,Y,,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,799.9999805,g 700+,h 760-820,0.9798045,3.5 +10,9,18907,10,1,7,3,33.5,3.5,1.56,68,Y,1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +4,5,18932,4,1,7,3,42,3.5,-0.42,66,Y,-0.05,P,2,P,96,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,18936,10,1,7,4,41,3.5,1.9,68,Y,1.66,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +1,1,18944,1,2,7,1,33,3.5,-1.72,68,Y,-2.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +8,9,18976,8,2,7,2,35,3.5,0.67,68,Y,1.11,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +10,10,18985,10,1,7,4,37,3.5,1.36,68,Y,1.3,P,2,P,95,2,4,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,6,18994,7,2,7,3,32,3.5,0.47,42,Y,0.25,P,7,P,95,2,4,-35,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +9,8,18997,9,2,7,1,37,3.5,0.97,70,Y,0.62,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,7,19005,8,2,7,1,36,3.5,0.85,69,Y,0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,9,19011,9,2,7,1,43,3.5,1.07,69,Y,1.08,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +6,7,19039,6,1,7,3,37.3,3.5,0.17,68,Y,0.43,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,781.0526129,g 700+,h 760-820,0.9798045,3.5 +4,5,19086,4,2,7,3,38,3.5,-0.27,66,Y,-0.25,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,6,19097,5,2,7,3,36,3.5,-0.06,69,Y,0.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,7,19131,7,2,7,3,33,3.5,0.3,69,Y,0.39,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,19138,10,1,7,2,37,3.5,1.71,54,Y,1.8,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,2,19148,2,2,7,4,40,3.5,-0.99,54,Y,-0.91,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +2,2,19156,3,1,7,2,31,3.5,-0.81,53,Y,-1.15,F,2,F,95,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +5,4,19163,5,1,7,3,45,3.5,-0.03,67,Y,-0.37,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,902.631555,g 700+,i 820+,0.9798045,3.5 +,,19201,8,2,7,5,43,3.5,0.63,65,Y,,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +5,7,19207,5,2,7,4,45,3.5,-0.02,69,Y,0.53,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +10,10,19210,10,2,6,1,40,3.5,1.45,64,Y,1.49,P,7,P,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +4,5,19252,4,1,7,1,31.5,3.5,-0.37,62,Y,-0.2,P,7,P,95,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +3,3,19257,3,2,7,1,34,3.5,-0.69,57,Y,-0.71,P,2,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,4,19268,3,1,7,3,32,3.5,-0.56,47,Y,-0.3,F,2,P,95,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +2,2,19277,3,1,6,5,42,3.5,-0.84,68,Y,-1.04,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +,,19285,,2,7,5,37,3.5,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +,,19317,,1,7,5,37.5,3.5,,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,784.2105075,g 700+,h 760-820,0.9798045,3.5 +1,3,19322,1,1,7,1,38,3.5,-1.3,68,Y,-0.72,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,5,19331,3,2,7,4,44,3.5,-0.6,68,Y,-0.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +7,9,19333,8,1,7,3,40,3.5,0.56,65,Y,1.09,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +6,7,19361,6,1,7,1,33.5,3.5,0.09,66,Y,0.48,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.0526155,g 700+,g 700-760,0.9798045,3.5 +5,5,19377,5,1,7,1,34,3.5,-0.16,66,Y,-0.21,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,8,19380,7,1,7,4,35,3.5,0.43,68,Y,0.57,P,7,P,94,1,1,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,5,19400,6,2,7,5,42,3.5,0.22,65,Y,-0.16,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +,,19416,2,2,7,5,44,3.5,-1,68,Y,,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +9,9,19419,9,1,7,1,39,3.5,1.1,56,Y,1.08,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,7,19421,7,1,7,5,48,3.5,0.6,68,Y,0.44,P,2,P,96,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +9,8,19427,9,2,7,5,43,3.5,1.25,69,Y,0.63,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +4,3,19428,4,1,7,3,36.5,3.5,-0.39,63,Y,-0.63,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.4210345,g 700+,h 760-820,0.9798045,3.5 +,,19439,,1,7,5,35,3.5,,58,,,F,2,F,96,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,744.736825,g 700+,g 700-760,0.9798045,3.5 +5,2,19447,5,1,7,1,37,3.5,-0.02,68,Y,-1.21,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,7,19464,8,2,7,1,43,3.5,0.66,61,Y,0.31,P,,P,,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +8,9,19470,8,2,7,1,41,3.5,0.86,67,Y,0.98,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +5,4,19478,6,2,7,3,37,3.5,0,65,Y,-0.55,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,9,19516,8,2,7,4,34,3.5,0.78,68,Y,1.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,7,19523,7,1,7,2,35,3.5,0.28,69,Y,0.49,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +1,1,19529,1,2,7,4,33,3.5,-1.43,54,Y,-1.35,P,2,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +1,1,19546,2,2,7,3,41,3.5,-1.29,69,Y,-1.88,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +6,7,19560,7,1,7,3,40,3.5,0.3,56,Y,0.28,P,2,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +7,7,19565,7,2,7,1,41,3.5,0.35,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +5,5,19574,5,1,7,4,37,3.5,-0.07,66,Y,-0.21,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,9,19577,8,1,7,1,41,3.5,0.81,68,Y,0.95,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +5,4,19583,5,1,4,6,25,3.5,0,60,Y,-0.5,P,7,P,94,1,2,-53,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,586.842095,e 580-640,e 580-640,0.9798045,3.5 +8,9,19592,8,2,7,1,40,3.5,0.76,66,Y,0.95,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +10,9,19595,10,1,7,4,41,3.5,1.84,68,Y,1.1,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +6,7,19637,6,2,7,3,40,3.5,0.2,69,Y,0.34,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +7,9,19643,7,1,7,3,42,3.5,0.43,69,Y,0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +,,19660,,1,7,,36,3.5,0.9,56,Y,0.67,P,2,P,95,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,5,19676,6,1,7,1,36,3.5,0.16,69,Y,-0.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +,,19686,10,2,8,4,37,3.5,1.67,69,Y,,P,7,P,94,1,3,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,6,19701,6,2,7,3,37,3.5,0.24,68,Y,0.03,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,1,19713,2,1,4,4,23,3.5,-0.99,67,Y,-1.81,P,7,P,94,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,555.263149,d 520-580,d 520-580,0.9798045,3.5 +8,7,19716,8,1,7,3,43,3.5,0.74,69,Y,0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,871.052609,g 700+,i 820+,0.9798045,3.5 +8,10,19724,9,2,7,4,37,3.5,0.87,60,Y,1.77,P,7,P,95,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,8,19741,9,1,7,1,39,3.5,1.13,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,7,19761,5,1,7,3,32,3.5,-0.13,68,Y,0.49,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,19785,10,1,7,3,39,3.5,1.47,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,6,19791,7,1,7,3,35,3.5,0.39,68,Y,0.15,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,19809,,1,2,5,48,3.5,,66,Y,0,P,2,P,95,1,3,-64,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +6,8,19814,7,1,7,3,37,3.5,0.3,68,Y,0.62,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,5,19839,9,2,7,4,45,3.5,0.94,69,Y,-0.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +9,9,19841,9,2,7,3,39,3.5,1.12,69,Y,1.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,6,19887,5,2,7,1,39,3.5,-0.04,68,Y,0.16,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,9,19888,9,2,7,1,39,3.5,0.95,68,Y,1.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,5,19889,5,1,7,3,39,3.5,-0.15,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +1,1,19898,1,1,7,5,36,3.5,-1.9,70,Y,-1.51,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,6,19934,6,2,7,3,37,3.5,0.14,61,Y,0.15,F,7,P,96,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,6,19954,6,1,7,3,32,3.5,0.05,67,Y,0.23,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +6,7,19955,6,2,7,1,42,3.5,0.19,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +5,5,19984,5,1,7,1,42,3.5,-0.13,50,Y,-0.21,P,7,P,94,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +7,9,19999,7,1,7,1,36,3.5,0.36,67,Y,0.91,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,20013,10,1,7,4,40,3.5,2.43,68,Y,1.76,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +2,3,20015,3,1,7,1,42,3.5,-0.81,67,Y,-0.6,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +9,10,20036,10,2,7,1,37,3.5,1.3,67,Y,1.5,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,2,20038,3,2,7,5,36,3.5,-0.67,68,Y,-1.1,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,9,20059,7,2,7,1,36,3.5,0.33,65,Y,0.92,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,7,20077,7,1,7,2,35,3.5,0.24,63,Y,0.32,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,6,20098,7,1,7,1,34,3.5,0.31,69,Y,0.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,6,20116,8,2,7,1,34,3.5,0.66,68,Y,0.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,6,20123,6,1,2,4,30,3.5,0.1,68,Y,0.19,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,665.78946,f 640-700,f 640-700,0.9798045,3.5 +7,9,20128,7,1,7,4,38,3.5,0.48,69,Y,1.24,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,6,20137,4,2,7,1,45,3.5,-0.29,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +3,3,20164,4,1,7,3,33,3.5,-0.45,69,Y,-0.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +8,8,20171,8,2,7,2,36,3.5,0.7,67,Y,0.78,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,760.526298,g 700+,h 760-820,0.9798045,3.5 +5,2,20190,5,2,7,1,35,3.5,-0.14,68,Y,-1.04,P,2,P,94,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,5,20195,2,1,7,1,38,3.5,-0.88,69,Y,-0.15,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,5,20206,7,1,7,1,41,3.5,0.46,69,Y,-0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +6,2,20207,6,2,7,5,35,3.5,0.12,69,Y,-0.87,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,744.736825,g 700+,g 700-760,0.9798045,3.5 +10,10,20242,10,2,7,1,41,3.5,1.34,65,Y,1.52,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +7,6,20256,7,1,7,1,33,3.5,0.43,63,Y,0.19,P,2,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +1,2,20258,1,2,7,3,29,3.5,-1.36,69,Y,-1.26,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +5,6,20291,5,2,7,1,43,3.5,-0.05,68,Y,0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +8,6,20296,8,2,3,4,35,3.5,0.69,66,Y,0.2,P,7,P,94,1,2,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +4,8,20297,4,2,7,3,34,3.5,-0.32,69,Y,0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,7,20309,6,1,7,5,42,3.5,0.23,69,Y,0.48,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +7,6,20322,7,1,7,4,38.5,3.5,0.3,68,Y,0.12,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.9999805,g 700+,h 760-820,0.9798045,3.5 +9,10,20353,9,1,7,5,43,3.5,1.05,64,Y,1.45,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +6,7,20361,6,1,7,4,31,3.5,0.24,67,Y,0.41,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,681.578933,f 640-700,f 640-700,0.9798045,3.5 +7,4,20378,7,2,7,3,35,3.5,0.34,68,Y,-0.5,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,8,20389,8,2,7,1,37,3.5,0.62,70,Y,0.82,P,2,P,95,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +4,3,20396,4,2,7,1,34,3.5,-0.24,69,Y,-0.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +4,3,20398,4,1,7,3,30.5,3.5,-0.25,69,Y,-0.72,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +10,10,20406,10,1,7,3,36,3.5,2.09,59,Y,2.14,P,2,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,3,20410,3,2,7,1,42,3.5,-0.71,69,Y,-0.74,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +9,9,20430,9,2,2,4,40,3.5,0.91,55,Y,1.04,P,7,P,94,2,1,-48,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +5,6,20447,5,2,7,3,39,3.5,-0.14,58,Y,0.18,P,7,P,94,1,,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,20449,,1,7,4,43,3.5,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +,,20450,,1,7,6,32.5,3.5,,63,Y,,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,705.2631425,g 700+,g 700-760,0.9798045,3.5 +3,3,20460,3,2,7,4,28.7,3.5,-0.59,64,Y,-0.69,P,7,P,94,1,,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,645.2631451,f 640-700,f 640-700,0.9798045,3.5 +9,9,20463,9,2,7,1,41,3.5,0.9,67,Y,0.89,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +8,9,20464,8,1,7,1,37,3.5,0.82,69,Y,0.92,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,9,20469,8,1,7,3,37,3.5,0.74,69,Y,1.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,20551,9,2,7,1,42,3.5,1.23,69,Y,1.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +1,2,20577,1,1,3,3,26,3.5,-1.53,68,Y,-1.08,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,602.631568,e 580-640,e 580-640,0.9798045,3.5 +,,20579,8,1,7,5,38,3.5,0.63,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,792.105244,g 700+,h 760-820,0.9798045,3.5 +,,20587,,1,7,1,43,3.5,,64,Y,0.13,P,7,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +7,6,20588,7,1,7,4,45,3.5,0.34,68,Y,0.05,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +7,3,20594,7,2,7,4,43,3.5,0.52,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +3,3,20612,3,2,7,3,39,3.5,-0.65,69,Y,-0.74,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,20620,,1,7,5,41,3.5,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +8,10,20629,8,2,7,3,34,3.5,0.61,69,Y,1.36,P,7,P,95,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,5,20659,5,2,7,5,46,3.5,0,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +9,6,20670,9,2,7,3,29,3.5,0.89,67,Y,0.07,P,7,P,94,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +,,20693,7,2,7,3,32,3.5,0.39,68,,,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +8,8,20734,8,2,7,3,38,3.5,0.71,69,Y,0.65,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +1,1,20757,2,1,7,4,41,3.5,-1.25,63,Y,-1.48,F,7,F,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +10,10,20767,10,1,7,3,32,3.5,1.49,68,Y,1.5,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +2,1,20779,2,1,7,5,45,3.5,-1.02,65,Y,-1.72,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +6,9,20782,6,1,7,2,38,3.5,0.13,68,Y,1.15,P,7,P,94,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,6,20785,7,1,7,4,37,3.5,0.3,69,Y,0.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,8,20817,7,2,7,1,41,3.5,0.51,69,Y,0.76,P,7,P,94,,4,-62,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +8,10,20818,8,2,7,4,32.5,3.5,0.78,66,Y,2.12,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,705.2631425,g 700+,g 700-760,0.9798045,3.5 +4,4,20821,4,2,7,4,41,3.5,-0.32,68,Y,-0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +7,5,20883,7,1,7,1,35,3.5,0.46,66,Y,-0.18,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +1,3,20915,2,2,7,1,35,3.5,-1.23,55,Y,-0.81,F,2,F,96,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +,,20934,,1,7,3,42,3.5,,60,Y,,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +10,8,20965,10,2,7,3,33.5,3.5,1.5,68,Y,0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +4,3,20968,5,1,7,4,41,3.5,-0.24,69,Y,-0.67,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +8,6,20975,8,2,7,4,46,3.5,0.67,69,Y,0.18,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +4,4,20976,4,2,7,3,29,3.5,-0.3,68,Y,-0.47,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +6,6,20981,6,2,7,1,42,3.5,0.16,64,Y,0.2,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +10,9,21013,10,1,7,3,32,3.5,1.34,62,Y,1.2,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +5,6,21042,5,2,7,4,41,3.5,-0.16,69,Y,0.04,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +3,3,21072,3,2,8,3,28,3.5,-0.66,68,Y,-0.8,P,2,P,95,1,3,-66,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +1,1,21074,1,1,3,5,32,3.5,-1.36,69,Y,-2.05,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,697.368406,f 640-700,f 640-700,0.9798045,3.5 +8,7,21081,8,1,7,1,37,3.5,0.7,67,Y,0.37,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,21087,9,2,7,1,43,3.5,1,69,Y,0.93,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +2,3,21094,3,2,2,3,37,3.5,-0.79,69,Y,-0.78,P,2,P,95,1,4,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,10,21096,8,1,7,1,45,3.5,0.84,68,Y,1.84,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +,,21099,,1,7,1,37.5,3.5,,64,Y,,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.2105075,g 700+,h 760-820,0.9798045,3.5 +2,1,21114,2,2,7,3,30,3.5,-0.88,68,Y,-2.08,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +7,6,21131,7,2,7,1,34,3.5,0.42,57,Y,0.16,P,7,P,94,1,,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,2,21138,3,1,7,3,32,3.5,-0.55,69,Y,-0.98,F,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +1,1,21139,2,2,7,4,47,3.5,-1.2,70,Y,-1.48,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +9,8,21148,9,1,7,3,39,3.5,0.95,67,Y,0.71,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,4,21153,5,1,7,3,38,3.5,-0.06,70,Y,-0.37,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,4,21154,4,2,7,1,37,3.5,-0.39,68,Y,-0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,21170,9,1,7,3,36,3.5,1.19,61,Y,0.91,P,7,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +5,3,21219,6,1,7,3,32.5,3.5,-0.01,68,Y,-0.88,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,705.2631425,g 700+,g 700-760,0.9798045,3.5 +6,5,21235,7,2,7,3,35,3.5,0.3,67,Y,-0.25,F,7,F,95,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,9,21236,9,1,7,1,36,3.5,1.07,65,Y,1.1,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +1,1,21249,2,2,7,2,28.5,3.5,-1.09,67,Y,-1.48,F,7,P,96,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,642.1052505,f 640-700,f 640-700,0.9798045,3.5 +6,8,21253,7,1,7,3,40,3.5,0.27,54,Y,0.58,P,7,P,95,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +6,6,21258,6,2,7,3,29,3.5,0.2,69,Y,0.04,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +3,4,21263,3,2,7,1,42,3.5,-0.72,67,Y,-0.37,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +3,2,21301,3,1,7,1,39,3.5,-0.62,67,Y,-0.93,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,21310,10,2,7,5,37,3.5,1.86,69,Y,,P,2,P,96,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,9,21326,8,1,7,3,40,3.5,0.72,68,Y,1.02,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +10,10,21357,10,1,7,1,38,3.5,1.49,69,Y,1.7,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,4,21378,3,1,7,1,40,3.5,-0.67,70,Y,-0.26,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +6,6,21389,6,1,7,3,37,3.5,0.13,69,Y,0.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,7,21390,9,1,7,3,35,3.5,1.11,65,Y,0.34,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +10,10,21407,10,1,7,3,41,3.5,2.15,56,Y,2.15,P,7,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +,,21412,,1,7,3,37,3.5,,68,Y,0.87,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +2,7,21414,2,1,7,1,34,3.5,-0.9,69,Y,0.3,P,,P,,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,4,21431,2,1,7,4,42,3.5,-1.01,69,Y,-0.42,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,21445,10,1,7,4,41,3.5,1.56,69,Y,1.38,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +,,21462,,2,7,5,40,3.5,,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +5,6,21465,5,1,7,3,30,3.5,-0.05,68,Y,0.03,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +4,4,21472,5,1,7,1,41,3.5,-0.2,69,Y,-0.29,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +,,21476,9,2,8,5,45,3.5,1.29,64,Y,,P,2,P,96,1,3,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +4,5,21477,5,1,7,4,42,3.5,-0.24,68,Y,-0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +8,7,21485,8,1,7,1,38,3.5,0.63,69,Y,0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,4,21509,3,1,7,4,43,3.5,-0.53,67,Y,-0.31,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +3,3,21525,3,2,7,3,29.5,3.5,-0.6,68,Y,-0.74,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +9,9,21533,9,2,7,3,31.5,3.5,1.1,69,Y,1.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +9,8,21552,9,2,7,4,40,3.5,1.21,69,Y,0.77,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +4,3,21576,4,1,7,3,34,3.5,-0.26,69,Y,-0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,2,21583,3,2,7,1,44,3.5,-0.69,66,Y,-1.03,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +4,3,21650,4,1,7,3,34,3.5,-0.26,69,Y,-0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +10,10,21659,10,1,7,3,37,3.5,1.82,65,Y,2.39,P,7,P,93,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +,,21670,10,2,7,5,44,3.5,1.76,61,Y,,P,7,P,95,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +10,10,21677,10,2,7,1,42,3.5,2.42,67,Y,3.12,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,21703,10,2,7,5,48,3.5,1.48,59,Y,1.71,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +3,5,21705,3,1,7,4,44,3.5,-0.52,54,Y,-0.16,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +7,5,21732,7,2,7,5,42,3.5,0.47,68,Y,-0.14,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +4,3,21747,4,1,7,1,36,3.5,-0.35,68,Y,-0.7,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,9,21749,8,2,7,1,42,3.5,0.85,69,Y,0.92,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +,,21772,9,2,7,5,39,3.5,1.41,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,10,21778,10,2,7,5,43,3.5,1.77,68,Y,1.62,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +2,1,21814,2,2,7,3,38,3.5,-1.05,69,Y,-1.5,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,10,21816,9,1,7,2,29,3.5,0.99,69,Y,1.6,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +4,4,21824,5,1,6,3,41,3.5,-0.24,64,Y,-0.56,P,7,P,94,1,3,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +6,5,21857,6,1,2,5,45,3.5,0.21,69,Y,-0.01,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +5,6,21865,5,2,7,3,36,3.5,-0.1,62,Y,0.06,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,10,21895,9,2,7,4,44,3.5,1.07,65,Y,1.31,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +8,8,21902,8,1,7,1,42,3.5,0.65,63,Y,0.6,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +9,8,21942,9,2,7,3,38,3.5,0.99,69,Y,0.63,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,5,21961,7,1,7,4,44,3.5,0.27,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +6,7,21962,6,1,7,1,39,3.5,0.29,69,Y,0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,3,21965,6,1,7,1,37,3.5,0.09,68,Y,-0.58,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,9,21980,10,2,7,1,41,3.5,1.66,68,Y,1.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +4,6,21987,4,2,7,1,32,3.5,-0.41,69,Y,0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +4,3,21988,4,2,7,2,32,3.5,-0.36,60,Y,-0.74,P,2,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,697.368406,f 640-700,f 640-700,0.9798045,3.5 +8,8,22004,8,2,7,3,34,3.5,0.79,67,Y,0.8,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,5,22062,5,1,7,3,37,3.5,-0.05,69,Y,-0.21,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,22093,10,2,7,3,40,3.5,1.96,63,Y,1.92,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +10,9,22095,10,1,7,4,36,3.5,1.5,53,Y,0.88,P,2,P,96,2,2,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +,,22112,,1,7,3,42,3.5,,65,Y,,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +6,5,22119,6,2,7,4,29,3.5,0.1,59,Y,-0.23,P,2,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,649.999987,f 640-700,f 640-700,0.9798045,3.5 +4,7,22134,4,2,7,4,40,3.5,-0.42,67,Y,0.44,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +3,4,22142,3,1,7,1,34,3.5,-0.62,67,Y,-0.52,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,8,22155,6,1,7,4,34,3.5,0.11,68,Y,0.66,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,7,22167,7,1,7,4,32,3.5,0.37,69,Y,0.49,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,697.368406,f 640-700,f 640-700,0.9798045,3.5 +2,2,22175,2,1,4,5,33,3.5,-1.07,66,Y,-1.24,F,7,F,94,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,6,713.157879,g 700+,g 700-760,0.9798045,3.5 +7,8,22183,7,2,7,3,36.5,3.5,0.45,69,Y,0.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.4210345,g 700+,h 760-820,0.9798045,3.5 +8,8,22217,8,2,3,6,23,3.5,0.8,65,Y,0.83,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,555.263149,d 520-580,d 520-580,0.9798045,3.5 +9,10,22219,9,1,7,3,33,3.5,1.18,66,Y,1.52,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +8,4,22243,8,2,7,3,32,3.5,0.61,65,Y,-0.4,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,22259,9,2,7,5,44,3.5,1.33,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +4,3,22267,4,2,7,5,45,3.5,-0.21,66,Y,-0.67,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +7,6,22279,7,1,7,1,39,3.5,0.53,69,Y,0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,4,22291,2,1,7,4,46,3.5,-0.97,66,Y,-0.37,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +5,4,22314,5,2,7,3,36,3.5,-0.16,61,Y,-0.46,F,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,9,22358,9,2,7,4,45,3.5,0.87,68,Y,0.93,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +,,22378,,2,7,,43.5,3.5,0.74,65,Y,,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,878.9473455,g 700+,i 820+,0.9798045,3.5 +1,3,22399,1,2,7,3,38,3.5,-1.4,61,Y,-0.78,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,7,22425,7,1,7,1,35,3.5,0.51,67,Y,0.41,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,1,22453,2,1,7,3,30,3.5,-1.07,69,Y,-1.56,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +,,22458,,1,7,1,42,3.5,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +9,10,22477,9,2,7,5,39,3.5,1.4,68,Y,1.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,8,22489,7,1,7,1,37,3.5,0.54,62,Y,0.6,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,5,22506,5,2,7,1,36,3.5,-0.11,69,Y,-0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +,,22510,,1,5,5,27,3.5,,71,Y,,F,7,F,95,1,3,-64,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,6,618.421041,e 580-640,e 580-640,0.9798045,3.5 +9,9,22533,9,1,7,1,39,3.5,1.29,64,Y,1.25,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,3,22572,4,1,2,4,38,3.5,-0.26,67,Y,-0.81,P,7,P,94,1,1,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,4,22591,3,1,7,1,42,3.5,-0.73,68,Y,-0.51,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +6,9,22602,6,1,7,3,34,3.5,0.1,51,Y,0.88,P,2,P,95,2,4,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,2,22606,4,2,7,3,33,3.5,-0.44,63,Y,-0.92,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +8,8,22623,8,2,7,5,39,3.5,0.83,69,Y,0.59,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,22646,1,2,7,5,42,3.5,-1.43,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +5,4,22661,5,1,7,4,37,3.5,-0.2,68,Y,-0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,8,22697,9,1,7,3,29,3.5,1.16,69,Y,0.78,P,6,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +9,10,22726,9,1,7,1,40,3.5,1.03,62,Y,1.39,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,8,22756,8,2,7,4,43,3.5,0.62,65,Y,0.84,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +2,2,22759,2,2,7,5,47,3.5,-1.12,69,Y,-0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +4,4,22791,4,1,7,1,41,3.5,-0.26,66,Y,-0.46,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +7,8,22802,7,1,7,3,35,3.5,0.48,69,Y,0.81,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,6,22825,2,2,7,1,46,3.5,-0.93,69,Y,0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,918.421028,g 700+,i 820+,0.9798045,3.5 +9,8,22863,9,2,7,1,41,3.5,0.91,69,Y,0.79,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +4,5,22865,4,2,7,1,38,3.5,-0.33,69,Y,-0.2,P,2,P,95,1,1,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,2,22866,5,2,7,4,36,3.5,-0.1,69,Y,-0.86,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,22868,10,2,7,4,37,3.5,2.46,52,Y,2.5,P,7,P,94,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +,,22870,,2,7,5,37,3.5,,52,Y,,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,7,22891,5,2,7,2,29,3.5,-0.08,69,Y,0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +5,4,22897,5,2,7,1,36,3.5,-0.07,67,Y,-0.3,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +6,7,22899,6,2,7,1,43,3.5,0.2,66,Y,0.4,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +8,7,22952,8,2,8,4,38,3.5,0.64,58,Y,0.51,P,7,P,95,2,3,-51,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +3,4,22988,3,2,7,4,46,3.5,-0.53,67,Y,-0.39,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +5,6,23023,5,2,7,1,41,3.5,-0.11,68,Y,0.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +10,9,23038,10,2,7,4,48,3.5,1.74,68,Y,1.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +7,7,23062,7,1,7,1,39,3.5,0.45,69,Y,0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,7,23065,6,1,7,1,38,3.5,0.08,54,Y,0.54,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +8,8,23078,8,1,7,5,47,3.5,0.94,65,Y,0.6,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +10,10,23083,10,2,7,4,42,3.5,2.22,55,Y,2.41,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +9,10,23087,9,1,7,4,37,3.5,1.15,69,Y,1.84,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,7,23126,7,1,7,3,39,3.5,0.36,58,Y,0.52,P,2,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,10,23127,8,1,7,1,35,3.5,0.65,67,Y,1.67,P,2,P,96,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,9,23137,9,1,7,3,34,3.5,1.01,69,Y,1,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +,,23144,2,2,2,5,42,3.5,-0.97,68,Y,,P,7,P,94,1,5,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +4,6,23173,5,2,7,3,29.5,3.5,-0.24,60,Y,-0.02,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +7,5,23212,7,2,7,3,40,3.5,0.39,68,Y,-0.25,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +3,2,23239,3,1,7,5,41,3.5,-0.83,62,Y,-0.97,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +7,8,23285,7,1,7,3,33.5,3.5,0.5,69,Y,0.76,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +1,1,23290,1,1,3,4,33,3.5,-1.47,66,Y,-1.74,P,7,P,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +8,6,23319,8,1,7,4,42,3.5,0.65,70,Y,0.21,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +8,9,23330,8,1,7,4,41,3.5,0.75,69,Y,1.27,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +9,6,23352,9,1,7,5,35,3.5,1.36,69,Y,0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,7,23365,6,1,7,3,34,3.5,0.14,33,Y,0.4,P,7,P,95,2,3,-26,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,9,23371,7,2,7,1,39,3.5,0.44,67,Y,1.21,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,7,23377,8,1,7,4,38,3.5,0.57,51,Y,0.37,F,7,P,96,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,7,23382,6,2,7,2,34,3.5,0.18,67,Y,0.3,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,5,23397,7,2,7,1,34,3.5,0.35,64,Y,-0.23,F,7,F,95,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +5,5,23418,5,1,7,1,33,3.5,-0.01,64,Y,-0.09,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,23437,10,1,7,1,42,3.5,1.38,69,Y,1.63,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +9,10,23448,9,2,7,3,31,3.5,1.06,68,Y,1.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +1,1,23451,1,2,7,3,37,3.5,-1.64,69,Y,-1.91,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,23454,10,2,7,3,39,3.5,2.06,62,Y,2.39,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,8,23485,10,1,7,3,37,3.5,1.66,63,Y,0.72,P,2,P,96,2,2,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +,,23500,1,2,5,5,35,3.5,-1.45,68,Y,,P,7,P,94,1,1,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,1,23509,3,2,7,1,34,3.5,-0.54,68,Y,-1.48,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,5,23510,7,1,7,3,37.5,3.5,0.29,63,Y,-0.14,P,7,P,94,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,784.2105075,g 700+,h 760-820,0.9798045,3.5 +10,10,23518,10,2,7,3,30,3.5,1.39,61,Y,1.46,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +4,6,23550,5,2,7,3,36,3.5,-0.24,69,Y,0.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,4,23556,4,1,7,1,36.5,3.5,-0.25,67,Y,-0.28,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.4210345,g 700+,h 760-820,0.9798045,3.5 +1,1,23567,1,1,7,1,38,3.5,-1.51,69,Y,-1.61,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,9,23603,10,1,7,1,40,3.5,1.29,68,Y,0.94,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +1,1,23604,1,1,3,5,29,3.5,-1.48,65,Y,-1.48,P,7,P,94,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,649.999987,f 640-700,f 640-700,0.9798045,3.5 +7,5,23615,7,1,5,4,37,3.5,0.29,59,Y,0,F,2,P,95,1,4,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,1,23619,1,2,3,5,33,3.5,-2.42,69,Y,-2.35,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,23621,,1,7,4,39,3.5,,67,Y,,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,23623,7,1,7,5,44,3.5,0.61,64,Y,,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +,,23635,3,2,2,5,42,3.5,-0.77,69,Y,,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +9,9,23639,9,1,7,3,42,3.5,1.13,69,Y,1.25,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +4,3,23642,4,1,2,1,44,3.5,-0.29,68,Y,-0.83,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +3,3,23643,3,1,7,1,36,3.5,-0.53,69,Y,-0.81,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,8,23651,8,2,7,3,26,3.5,0.72,69,Y,0.7,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,602.631568,e 580-640,e 580-640,0.9798045,3.5 +2,5,23673,2,2,3,6,27,3.5,-0.93,69,Y,-0.28,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,618.421041,e 580-640,e 580-640,0.9798045,3.5 +9,8,23685,9,1,7,3,39,3.5,0.98,69,Y,0.84,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,7,23688,6,1,7,2,33,3.5,0.09,67,Y,0.44,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,713.157879,g 700+,g 700-760,0.9798045,3.5 +9,8,23691,9,1,7,4,45,3.5,1.1,65,Y,0.76,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +8,8,23718,8,2,7,5,42,3.5,0.92,69,Y,0.67,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +2,3,23726,3,1,7,4,36,3.5,-0.8,69,Y,-0.76,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +1,1,23742,1,1,3,5,29,3.5,-2.36,69,Y,-2.61,P,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,649.999987,f 640-700,f 640-700,0.9798045,3.5 +9,9,23776,9,2,2,5,48,3.5,1.11,67,Y,0.84,P,7,P,95,1,5,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +8,10,23786,8,1,7,3,37,3.5,0.81,60,Y,1.83,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,8,23793,10,2,7,3,37,3.5,1.96,50,Y,0.62,P,2,P,95,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,5,23822,8,1,7,2,36,3.5,0.6,67,Y,-0.06,P,2,P,96,2,3,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,9,23838,10,2,7,1,48,3.5,1.99,68,Y,1.26,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +9,10,23845,9,1,7,3,30,3.5,1.17,69,Y,1.81,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +2,1,23864,2,2,7,1,35,3.5,-0.98,60,Y,-1.55,F,7,F,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,9,23867,9,2,7,1,34,3.5,0.94,68,Y,1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +1,6,23869,1,1,7,5,39.5,3.5,-1.28,68,Y,0.07,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.7894535,g 700+,h 760-820,0.9798045,3.5 +6,8,23883,6,1,7,4,44,3.5,0.21,67,Y,0.55,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +9,8,23916,9,1,7,3,37,3.5,0.88,49,Y,0.65,P,7,P,95,2,2,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,10,23917,9,1,7,4,41,3.5,1.19,67,Y,1.39,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +,,23931,8,2,7,5,45,3.5,0.85,64,Y,,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +6,8,23936,6,2,1,5,41,3.5,0.23,68,Y,0.73,P,7,P,94,1,2,-61,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +6,7,23945,6,1,8,3,36,3.5,0.24,57,Y,0.44,P,7,P,94,1,3,-50,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,5,23981,5,1,3,6,18.5,3.5,-0.17,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,484.2105205,c 460-520,c 460-520,0.9798045,3.5 +8,7,23982,8,2,7,4,40,3.5,0.77,55,Y,0.28,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +10,10,23992,10,2,7,1,37,3.5,1.88,69,Y,1.86,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,8,23999,8,2,4,3,29,3.5,0.7,70,Y,0.56,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +8,6,24005,8,1,7,3,30,3.5,0.67,68,Y,0.24,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.78946,f 640-700,f 640-700,0.9798045,3.5 +8,7,24019,8,2,7,4,46,3.5,0.8,64,Y,0.52,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +9,9,24024,9,1,7,1,37,3.5,1.14,69,Y,0.93,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,5,24041,5,1,7,4,38,3.5,-0.07,68,Y,-0.24,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,3,24072,4,1,2,1,36,3.5,-0.35,68,Y,-0.72,F,7,P,96,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +1,1,24075,1,1,7,1,35,3.5,-1.87,68,Y,-1.34,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +4,3,24083,4,2,7,1,45,3.5,-0.38,68,Y,-0.85,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,902.631555,g 700+,i 820+,0.9798045,3.5 +1,1,24085,1,1,2,1,36,3.5,-2.86,70,Y,-1.41,F,2,F,96,1,1,-68,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +,,24092,9,2,7,5,45,3.5,1.08,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +9,8,24132,9,1,7,1,36,3.5,1.02,63,Y,0.63,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,9,24155,8,2,7,4,43,3.5,0.67,68,Y,0.95,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +8,7,24187,8,2,7,1,39,3.5,0.64,68,Y,0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,5,24192,6,2,8,4,47,3.5,0.21,68,Y,-0.2,P,7,P,94,1,5,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +1,3,24201,2,1,7,1,41,3.5,-1.21,66,Y,-0.73,P,2,P,94,1,2,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +6,6,24204,7,1,7,1,36,3.5,0.31,58,Y,0.14,P,2,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,3,24218,4,1,2,3,37,3.5,-0.33,67,Y,-0.77,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,3,24226,6,1,7,1,34,3.5,0.08,68,Y,-0.7,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +1,1,24238,1,2,7,3,36,3.5,-1.85,70,Y,-1.48,P,2,P,95,1,5,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,5,24239,4,1,7,4,39,3.5,-0.26,54,Y,0.01,F,7,P,96,2,3,-47,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +2,4,24280,2,1,2,1,43,3.5,-0.86,69,Y,-0.33,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +,,24294,,2,7,5,39,3.5,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +4,4,24313,5,1,7,3,31.5,3.5,-0.17,59,Y,-0.47,P,2,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +8,9,24324,9,2,7,1,43,3.5,0.9,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +1,2,24350,2,2,7,3,37,3.5,-1.22,68,Y,-1.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,5,24355,6,1,7,2,29,3.5,0,63,Y,-0.3,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,649.999987,f 640-700,f 640-700,0.9798045,3.5 +7,7,24359,7,2,7,1,36,3.5,0.56,63,Y,0.33,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,6,24371,7,1,7,3,29,3.5,0.36,64,Y,0.19,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.999987,f 640-700,f 640-700,0.9798045,3.5 +1,2,24375,1,2,7,4,40,3.5,-1.27,64,Y,-1.05,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +1,2,24380,1,2,7,3,33.5,3.5,-1.41,63,Y,-1.09,F,7,P,95,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +7,8,24391,7,2,7,1,43,3.5,0.42,66,Y,0.7,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +8,8,24392,8,2,7,1,37,3.5,0.69,68,Y,0.85,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +6,9,24401,6,1,7,4,27,3.5,0.07,66,Y,0.98,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,618.421041,e 580-640,e 580-640,0.9798045,3.5 +2,4,24415,3,1,7,3,39,3.5,-0.71,68,Y,-0.49,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,24431,8,2,7,5,43,3.5,0.93,69,Y,0.7,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +8,10,24432,8,1,7,1,37.5,3.5,0.87,59,Y,1.44,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.2105075,g 700+,h 760-820,0.9798045,3.5 +,,24434,3,2,6,5,38,3.5,-0.55,69,Y,,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,792.105244,g 700+,h 760-820,0.9798045,3.5 +4,8,24453,4,2,7,4,42,3.5,-0.32,69,Y,0.59,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +6,6,24476,7,2,7,1,34.5,3.5,0.31,65,Y,0.03,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.8420885,g 700+,g 700-760,0.9798045,3.5 +4,2,24484,4,2,2,4,39,3.5,-0.45,63,Y,-1.05,P,7,P,94,1,2,-56,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +1,1,24494,1,2,3,1,21,3.5,-1.75,69,Y,-1.85,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,523.684203,d 520-580,d 520-580,0.9798045,3.5 +8,5,24518,8,2,7,4,40,3.5,0.61,62,Y,-0.06,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +1,2,24530,2,1,7,2,33,3.5,-1.07,43,Y,-0.93,P,7,P,94,1,2,-36,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,4,24540,6,2,7,4,34,3.5,0.12,64,Y,-0.36,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,3,24561,3,1,7,3,37,3.5,-0.7,69,Y,-0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +1,3,24569,1,1,3,4,32.5,3.5,-1.56,70,Y,-0.66,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,705.2631425,g 700+,g 700-760,0.9798045,3.5 +9,10,24570,9,1,7,5,42,3.5,1.44,69,Y,1.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +8,8,24574,8,2,7,4,42,3.5,0.72,68,Y,0.61,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +5,6,24583,5,1,7,5,45,3.5,-0.15,67,Y,0.13,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +9,9,24596,10,2,7,6,38,3.5,1.26,61,Y,0.96,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,9,24605,10,2,8,4,42,3.5,1.28,68,Y,1.28,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +1,2,24620,1,2,7,4,35,3.5,-1.3,52,Y,-1.19,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +3,4,24640,3,2,6,5,42,3.5,-0.55,69,Y,-0.32,P,2,P,95,1,4,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +6,7,24659,6,2,7,1,37,3.5,0.23,64,Y,0.54,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,9,24687,10,1,7,1,44,3.5,1.43,69,Y,1.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +4,3,24705,4,2,7,1,32,3.5,-0.24,68,Y,-0.73,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +7,9,24713,8,2,7,1,38,3.5,0.58,63,Y,1.02,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,9,24716,9,1,7,1,42,3.5,1.06,68,Y,1.22,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +7,9,24735,7,2,7,3,32.5,3.5,0.45,68,Y,0.9,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.2631425,g 700+,g 700-760,0.9798045,3.5 +6,7,24765,7,2,7,1,44,3.5,0.32,69,Y,0.36,F,7,P,96,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +5,4,24781,5,2,8,4,44,3.5,-0.13,69,Y,-0.42,P,7,P,94,1,5,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +5,9,24786,6,2,7,1,40,3.5,0.06,68,Y,1.19,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +10,9,24816,10,1,7,1,40,3.5,1.36,70,Y,1.22,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +7,7,24843,7,1,2,5,40,3.5,0.4,69,Y,0.52,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +1,2,24845,1,2,7,1,37,3.5,-1.3,69,Y,-1,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,8,24847,7,2,7,3,39,3.5,0.46,68,Y,0.62,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,7,24856,8,2,7,3,33,3.5,0.57,65,Y,0.42,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,24907,10,1,7,4,40,3.5,1.9,69,Y,2.01,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +,,24926,10,1,7,3,37,3.5,1.32,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,7,24935,7,2,7,1,40,3.5,0.35,68,Y,0.4,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +8,10,24940,8,1,7,3,43,3.5,0.73,70,Y,1.47,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,871.052609,g 700+,i 820+,0.9798045,3.5 +6,7,24959,7,1,7,5,44,3.5,0.35,69,Y,0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +8,9,24961,8,2,7,1,42,3.5,0.66,69,Y,1.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +8,8,24996,8,1,7,3,31,3.5,0.63,69,Y,0.58,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +4,8,25004,4,1,7,4,44,3.5,-0.27,65,Y,0.72,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +2,1,25010,2,2,2,5,40,3.5,-1,67,Y,-1.38,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +6,5,25035,6,2,7,3,42,3.5,0.19,71,Y,-0.11,P,7,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,855.263136,g 700+,i 820+,0.9798045,3.5 +6,7,25036,6,2,7,1,41,3.5,0.26,68,Y,0.49,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +10,10,25071,10,2,7,1,39,3.5,1.49,60,Y,1.41,P,7,P,95,2,2,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,6,25076,8,2,7,4,47,3.5,0.72,67,Y,0.1,P,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +10,10,25078,10,2,7,4,43,3.5,1.6,54,Y,1.77,P,7,P,95,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +10,10,25090,10,1,7,5,42,3.5,1.69,67,Y,1.68,P,2,P,96,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +5,6,25094,5,1,7,3,38,3.5,-0.07,69,Y,0.13,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +6,6,25100,6,1,7,1,33,3.5,0.29,51,Y,0.14,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +6,6,25117,6,1,8,3,36.5,3.5,0.07,66,Y,0.04,P,7,P,94,1,3,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,768.4210345,g 700+,h 760-820,0.9798045,3.5 +8,6,25124,8,2,7,4,41,3.5,0.62,66,Y,0.09,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +8,8,25139,8,1,7,3,35,3.5,0.6,70,Y,0.6,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,6,25144,8,1,7,3,28,3.5,0.61,68,Y,0.15,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.210514,e 580-640,e 580-640,0.9798045,3.5 +6,4,25146,6,2,7,1,40,3.5,0.16,68,Y,-0.48,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +1,3,25150,1,2,7,3,36,3.5,-1.81,67,Y,-0.88,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,8,25198,8,2,7,3,35,3.5,0.64,68,Y,0.66,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +8,8,25200,8,2,7,1,42,3.5,0.74,64,Y,0.61,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +1,4,25228,2,1,7,1,37,3.5,-1.17,50,Y,-0.33,P,7,P,94,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,2,25261,5,1,3,1,39,3.5,-0.1,61,Y,-1.03,P,2,P,95,1,1,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +6,5,25277,6,2,7,3,35,3.5,0.11,62,Y,-0.04,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +2,1,25311,2,1,7,3,32,3.5,-1.09,67,Y,-1.44,P,7,P,94,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +5,7,25317,6,1,7,1,33,3.5,0.05,64,Y,0.5,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,7,25321,5,2,7,4,46,3.5,-0.02,69,Y,0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,918.421028,g 700+,i 820+,0.9798045,3.5 +5,4,25341,5,1,7,1,31,3.5,-0.03,69,Y,-0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,681.578933,f 640-700,f 640-700,0.9798045,3.5 +9,9,25347,9,2,7,3,33,3.5,0.92,69,Y,1.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,25350,3,1,7,3,37,3.5,-0.8,63,Y,,F,7,P,96,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,9,25353,9,1,7,4,41,3.5,0.89,68,Y,0.94,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +2,2,25363,2,1,7,4,40,3.5,-0.82,68,Y,-1.17,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +1,1,25377,1,2,7,4,45,3.5,-1.5,66,Y,-1.82,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +10,9,25384,10,1,7,4,45,3.5,1.34,68,Y,0.92,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +8,8,25401,8,2,7,4,45,3.5,0.56,67,Y,0.69,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +8,8,25405,8,2,7,1,39,3.5,0.85,62,Y,0.73,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +10,5,25409,10,2,7,5,42,3.5,1.56,67,Y,-0.22,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +8,5,25410,8,2,7,3,28.5,3.5,0.78,68,Y,-0.04,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,642.1052505,f 640-700,f 640-700,0.9798045,3.5 +5,5,25441,5,1,7,3,33,3.5,-0.05,69,Y,-0.16,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,4,25442,4,1,7,5,44,3.5,-0.34,70,Y,-0.26,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +2,4,25445,3,1,7,5,43,3.5,-0.85,62,Y,-0.35,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +2,2,25447,2,1,7,3,32,3.5,-0.86,54,Y,-0.91,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +10,10,25456,10,1,7,5,48,3.5,2.66,68,Y,2.72,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +3,3,25458,3,1,7,2,26,3.5,-0.68,69,Y,-0.78,F,7,F,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,602.631568,e 580-640,e 580-640,0.9798045,3.5 +9,9,25467,9,1,8,4,37,3.5,0.94,70,Y,0.92,P,7,P,94,1,5,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,5,25475,5,2,7,4,37,3.5,-0.1,67,Y,-0.17,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.315771,g 700+,h 760-820,0.9798045,3.5 +5,4,25481,5,2,7,2,27,3.5,-0.06,67,Y,-0.44,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,618.421041,e 580-640,e 580-640,0.9798045,3.5 +3,5,25493,3,2,7,1,31,3.5,-0.68,69,Y,-0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,681.578933,f 640-700,f 640-700,0.9798045,3.5 +10,10,25499,10,1,7,3,36,3.5,1.3,52,Y,1.59,P,7,P,95,2,4,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +7,5,25508,7,2,7,5,46,3.5,0.51,68,Y,-0.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,918.421028,g 700+,i 820+,0.9798045,3.5 +4,4,25515,4,2,7,1,34,3.5,-0.31,68,Y,-0.44,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,4,25531,2,1,7,1,35,3.5,-0.9,69,Y,-0.3,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,7,25539,6,2,7,3,34,3.5,0.06,67,Y,0.32,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,8,25541,8,2,7,3,38,3.5,0.58,60,Y,0.65,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +9,9,25549,9,2,7,3,37,3.5,1.15,69,Y,1.04,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,10,25555,9,1,7,3,30.3,3.5,0.97,67,Y,1.46,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.5263019,f 640-700,f 640-700,0.9798045,3.5 +8,9,25563,8,2,7,3,33,3.5,0.69,69,Y,1,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +10,10,25565,10,1,7,1,42,3.5,1.81,59,Y,1.89,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,25592,10,2,7,4,48,3.5,1.48,68,Y,1.53,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,949.999974,g 700+,i 820+,0.9798045,3.5 +9,7,25599,9,2,7,4,34.5,3.5,0.89,69,Y,0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.8420885,g 700+,g 700-760,0.9798045,3.5 +6,6,25601,6,2,7,3,37,3.5,0.12,69,Y,0.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +3,5,25603,3,2,7,3,41,3.5,-0.57,63,Y,-0.09,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +9,10,25662,9,1,7,4,40,3.5,1.02,65,Y,1.62,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +8,8,25702,8,1,7,4,43,3.5,0.58,54,Y,0.64,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +2,3,25724,3,1,7,1,44,3.5,-0.78,68,Y,-0.67,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +,,25732,,1,7,,39,3.5,0.4,64,Y,0.37,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,807.894717,g 700+,h 760-820,0.9798045,3.5 +8,8,25743,8,2,7,4,41,3.5,0.64,66,Y,0.64,P,2,P,95,1,2,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +3,2,25817,3,2,7,4,35.5,3.5,-0.74,66,Y,-0.86,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.6315615,g 700+,g 700-760,0.9798045,3.5 +7,6,25822,7,1,7,1,36,3.5,0.36,69,Y,0.17,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +4,5,25828,4,2,7,3,39,3.5,-0.35,69,Y,-0.18,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,25862,,2,7,1,44,3.5,,68,Y,0.19,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +9,9,25888,9,2,7,3,39,3.5,1.2,59,Y,1.14,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.894717,g 700+,h 760-820,0.9798045,3.5 +9,9,25896,9,2,7,4,34,3.5,1.26,66,Y,1.04,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +3,5,25914,3,1,7,4,33,3.5,-0.54,68,Y,-0.2,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,25917,,2,7,5,42,3.5,,60,Y,,P,7,P,95,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +10,10,25926,10,1,8,1,43,3.5,2.32,60,Y,2.13,P,7,P,94,1,3,-53,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +2,2,25937,2,2,6,3,26,3.5,-1.07,69,Y,-1.3,F,7,P,95,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,602.631568,e 580-640,e 580-640,0.9798045,3.5 +6,4,25966,6,2,7,1,38.5,3.5,0.21,69,Y,-0.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.9999805,g 700+,h 760-820,0.9798045,3.5 +1,1,25996,1,1,7,1,42,3.5,-1.41,69,Y,-1.64,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +6,6,26000,6,2,4,1,32,3.5,0.12,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.368406,f 640-700,f 640-700,0.9798045,3.5 +8,9,26006,8,2,7,3,36,3.5,0.83,64,Y,1.14,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,7,26017,9,2,7,3,31,3.5,1.16,67,Y,0.29,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.578933,f 640-700,f 640-700,0.9798045,3.5 +10,10,26042,10,1,7,3,32,3.5,1.91,68,Y,2.15,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +5,4,26094,5,2,7,4,45,3.5,-0.11,68,Y,-0.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,902.631555,g 700+,i 820+,0.9798045,3.5 +9,9,26095,9,1,7,5,44,3.5,1.03,69,Y,1.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,886.842082,g 700+,i 820+,0.9798045,3.5 +2,4,26098,2,2,7,3,37,3.5,-1.02,69,Y,-0.5,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,26134,10,2,7,4,39,3.5,1.48,67,Y,1.71,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,26188,,1,6,1,39,3.5,,66,Y,,P,7,P,94,1,3,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +3,2,26222,3,1,7,1,39,3.5,-0.59,69,Y,-1.13,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,26236,3,2,7,3,30.5,3.5,-0.56,68,Y,,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +4,4,26279,4,1,7,1,38,3.5,-0.41,69,Y,-0.34,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +5,5,26307,5,1,7,3,34,3.5,-0.11,66,Y,-0.09,P,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +8,8,26315,9,2,7,3,36,3.5,0.84,69,Y,0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +9,9,26343,9,1,7,4,33,3.5,1.25,60,Y,1.13,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,26372,10,2,7,3,32.5,3.5,1.47,68,X,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.2631425,g 700+,g 700-760,0.9798045,3.5 +7,7,26377,7,2,7,3,36,3.5,0.5,67,Y,0.33,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,26384,10,1,2,1,48,3.5,2.41,68,Y,2.48,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +9,7,26394,9,2,7,4,40,3.5,0.93,65,Y,0.46,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +3,3,26399,3,1,7,4,40,3.5,-0.69,68,Y,-0.82,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +5,3,26437,5,2,7,4,31.5,3.5,-0.14,69,Y,-0.67,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,689.4736695,f 640-700,f 640-700,0.9798045,3.5 +8,6,26455,8,2,7,5,36.5,3.5,0.78,68,Y,0.18,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,768.4210345,g 700+,h 760-820,0.9798045,3.5 +5,6,26480,5,1,7,5,45,3.5,-0.07,67,Y,0.19,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,902.631555,g 700+,i 820+,0.9798045,3.5 +,,26498,1,1,7,5,40,3.5,-1.41,60,Y,,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,823.68419,g 700+,i 820+,0.9798045,3.5 +1,2,26501,2,1,3,1,30,3.5,-1.25,68,Y,-0.95,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,665.78946,f 640-700,f 640-700,0.9798045,3.5 +1,1,26517,1,2,7,4,44,3.5,-1.53,67,Y,-2.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +2,3,26520,3,1,6,1,34,3.5,-0.79,65,Y,-0.59,P,7,P,94,1,2,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.947352,g 700+,g 700-760,0.9798045,3.5 +6,9,26522,6,1,7,3,33,3.5,0.17,68,Y,1.07,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +3,3,26523,3,2,2,1,44,3.5,-0.54,68,Y,-0.63,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,886.842082,g 700+,i 820+,0.9798045,3.5 +,,26526,,2,7,4,42,3.5,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,855.263136,g 700+,i 820+,0.9798045,3.5 +1,1,26528,2,2,7,1,42,3.5,-1.23,68,Y,-1.75,P,2,P,94,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +5,3,26546,5,2,7,5,39,3.5,-0.13,68,Y,-0.71,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.894717,g 700+,h 760-820,0.9798045,3.5 +5,5,26553,5,2,7,1,36,3.5,-0.04,69,Y,-0.09,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,2,26557,2,2,2,4,34,3.5,-1.02,70,Y,-1.16,P,7,P,94,1,1,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,728.947352,g 700+,g 700-760,0.9798045,3.5 +2,1,26559,2,2,7,1,35,3.5,-0.89,68,Y,-1.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,10,26568,9,2,7,3,33,3.5,1.02,67,Y,1.61,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +1,2,26579,1,2,7,1,37,3.5,-1.32,54,Y,-1.27,P,2,P,95,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,7,26586,7,2,7,5,41,3.5,0.52,68,Y,0.41,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.473663,g 700+,i 820+,0.9798045,3.5 +7,6,26593,7,1,7,3,34,3.5,0.5,61,Y,0.19,P,2,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +10,10,26605,10,2,7,4,33,3.5,1.48,70,Y,1.53,P,7,P,94,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,5,26618,5,2,7,2,34,3.5,-0.11,69,Y,-0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,728.947352,g 700+,g 700-760,0.9798045,3.5 +9,10,26620,9,1,7,3,36,3.5,1.02,69,Y,1.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +2,1,26634,2,2,7,1,42,3.5,-0.86,66,Y,-2.02,F,7,F,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +1,3,26659,1,1,7,4,36,3.5,-1.37,59,Y,-0.85,F,7,F,95,2,2,-52,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,760.526298,g 700+,h 760-820,0.9798045,3.5 +3,5,26672,4,1,7,3,33,3.5,-0.43,70,Y,-0.14,P,7,P,94,1,1,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.157879,g 700+,g 700-760,0.9798045,3.5 +1,2,26673,1,2,7,4,28.5,3.5,-1.37,69,Y,-1.07,F,7,F,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,642.1052505,f 640-700,f 640-700,0.9798045,3.5 +9,8,26690,9,2,7,1,42,3.5,1.14,67,Y,0.66,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +8,4,26699,8,2,7,4,39,3.5,0.74,68,Y,-0.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,807.894717,g 700+,h 760-820,0.9798045,3.5 +,,26714,9,1,7,1,33,3.5,0.98,60,Y,,P,7,P,95,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +4,5,26737,4,1,7,1,40,3.5,-0.27,62,Y,-0.26,P,2,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.68419,g 700+,i 820+,0.9798045,3.5 +9,10,26766,9,1,7,4,41,3.5,1.23,69,Y,1.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +5,10,26771,6,2,7,4,33,3.5,0.05,69,Y,1.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,713.157879,g 700+,g 700-760,0.9798045,3.5 +,,26787,,1,7,6,23,3.5,,69,Y,,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,555.263149,d 520-580,d 520-580,0.9798045,3.5 +4,3,26804,4,2,7,2,28,3.5,-0.32,58,Y,-0.82,F,7,F,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,634.210514,e 580-640,e 580-640,0.9798045,3.5 +8,6,26808,8,2,7,2,36,3.5,0.58,68,Y,0.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,760.526298,g 700+,h 760-820,0.9798045,3.5 +10,10,26819,10,2,7,1,48,3.5,1.89,69,Y,1.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,949.999974,g 700+,i 820+,0.9798045,3.5 +10,10,26827,10,1,7,3,40,3.5,1.42,66,Y,1.45,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,823.68419,g 700+,i 820+,0.9798045,3.5 +9,8,26833,9,1,7,4,35,3.5,1.08,69,Y,0.83,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,744.736825,g 700+,g 700-760,0.9798045,3.5 +6,8,26834,6,2,7,3,37,3.5,0.2,63,Y,0.85,P,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +8,9,26857,8,1,7,5,43,3.5,0.64,69,Y,1.16,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,871.052609,g 700+,i 820+,0.9798045,3.5 +8,7,26885,8,2,7,3,29.3,3.5,0.58,59,Y,0.41,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.7368289,f 640-700,f 640-700,0.9798045,3.5 +10,10,26889,10,1,7,3,32,3.5,2.25,67,Y,2.48,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +,,26897,1,1,5,5,34,3.5,-2.09,68,Y,,F,7,P,95,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,728.947352,g 700+,g 700-760,0.9798045,3.5 +4,2,26902,4,2,7,3,32,3.5,-0.34,70,Y,-1.06,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.368406,f 640-700,f 640-700,0.9798045,3.5 +6,7,26903,6,1,7,3,33.5,3.5,0.19,47,Y,0.31,P,7,P,95,2,4,-40,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +6,5,26917,6,2,7,1,37,3.5,0.26,69,Y,-0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,6,26932,7,1,7,3,34,3.5,0.38,68,Y,0.2,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.947352,g 700+,g 700-760,0.9798045,3.5 +7,8,26956,7,2,7,4,40,3.5,0.36,67,Y,0.56,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,823.68419,g 700+,i 820+,0.9798045,3.5 +1,3,26959,1,1,7,4,44,3.5,-1.31,69,Y,-0.75,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +6,7,26969,7,1,7,3,27,3.5,0.27,70,Y,0.26,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.421041,e 580-640,e 580-640,0.9798045,3.5 +4,3,26973,5,1,7,3,38,3.5,-0.22,69,Y,-0.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.105244,g 700+,h 760-820,0.9798045,3.5 +2,1,26983,2,1,7,1,33,3.5,-0.86,61,Y,-1.37,P,7,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.157879,g 700+,g 700-760,0.9798045,3.5 +5,4,26985,6,2,7,4,43,3.5,0.05,65,Y,-0.44,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +5,4,26987,5,2,7,3,35,3.5,-0.04,67,Y,-0.36,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.736825,g 700+,g 700-760,0.9798045,3.5 +9,8,27002,9,1,2,5,42,3.5,1.27,65,Y,0.76,P,7,P,94,1,4,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,855.263136,g 700+,i 820+,0.9798045,3.5 +9,9,27003,9,2,7,5,48,3.5,1.29,67,Y,0.85,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,949.999974,g 700+,i 820+,0.9798045,3.5 +3,4,27010,3,2,7,2,30.5,3.5,-0.57,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.6841965,f 640-700,f 640-700,0.9798045,3.5 +6,7,27012,6,2,7,5,47,3.5,0.25,68,Y,0.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +9,8,27015,9,2,7,3,41,3.5,1.14,68,Y,0.81,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.473663,g 700+,i 820+,0.9798045,3.5 +3,6,27060,3,2,7,4,43,3.5,-0.58,66,Y,0.24,P,7,P,95,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +8,9,27074,8,1,7,2,31,3.5,0.75,67,Y,1.08,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,681.578933,f 640-700,f 640-700,0.9798045,3.5 +7,4,27080,7,1,7,1,30,3.5,0.34,68,Y,-0.53,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,665.78946,f 640-700,f 640-700,0.9798045,3.5 +2,2,27084,2,1,2,1,37,3.5,-1.1,71,Y,-1.2,P,7,P,94,1,4,-64,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,776.315771,g 700+,h 760-820,0.9798045,3.5 +10,10,27090,10,1,7,3,37,3.5,2.33,62,Y,2.53,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +9,6,27131,9,1,7,1,39,3.5,0.95,69,Y,0.17,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,807.894717,g 700+,h 760-820,0.9798045,3.5 +7,4,27133,7,2,7,4,41,3.5,0.34,69,Y,-0.44,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +1,1,27189,1,2,7,4,38,3.5,-1.93,63,Y,-1.36,F,7,F,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,792.105244,g 700+,h 760-820,0.9798045,3.5 +7,8,27199,7,1,7,3,37,3.5,0.41,68,Y,0.66,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +7,5,27208,7,2,7,4,47,3.5,0.52,68,Y,-0.16,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,934.210501,g 700+,i 820+,0.9798045,3.5 +1,1,27219,2,2,7,2,27.3,3.5,-1.13,67,Y,-1.46,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.1578829,e 580-640,e 580-640,0.9798045,3.5 +5,3,27241,6,1,7,5,47,3.5,0.06,69,Y,-0.59,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,934.210501,g 700+,i 820+,0.9798045,3.5 +2,2,27243,2,1,7,3,36,3.5,-1.03,68,Y,-1.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,760.526298,g 700+,h 760-820,0.9798045,3.5 +8,8,27251,8,1,7,3,32.5,3.5,0.74,67,Y,0.6,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.2631425,g 700+,g 700-760,0.9798045,3.5 +10,10,27269,10,1,7,1,47,3.5,1.73,70,Y,2.18,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,934.210501,g 700+,i 820+,0.9798045,3.5 +6,5,27285,6,1,2,1,32.5,3.5,0.16,69,Y,-0.22,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,705.2631425,g 700+,g 700-760,0.9798045,3.5 +4,3,27321,4,1,7,3,37,3.5,-0.28,65,Y,-0.62,P,7,P,94,1,1,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,776.315771,g 700+,h 760-820,0.9798045,3.5 +4,6,27327,4,1,7,4,41,3.5,-0.26,69,Y,0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.473663,g 700+,i 820+,0.9798045,3.5 +4,8,27328,5,1,7,4,43,3.5,-0.25,64,Y,0.55,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,871.052609,g 700+,i 820+,0.9798045,3.5 +2,3,27341,2,1,7,1,42,3.5,-0.99,68,Y,-0.62,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,855.263136,g 700+,i 820+,0.9798045,3.5 +5,5,27358,5,2,2,4,44,3.5,-0.12,69,Y,-0.21,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,886.842082,g 700+,i 820+,0.9798045,3.5 +1,2,27393,2,2,7,1,43,3.5,-1.15,64,Y,-1.26,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,871.052609,g 700+,i 820+,0.9798045,3.5 +7,7,27398,7,1,7,3,33.5,3.5,0.5,68,Y,0.47,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.0526155,g 700+,g 700-760,0.9798045,3.5 +10,10,27421,10,2,6,1,38,3.5,1.55,69,Y,1.96,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.105244,g 700+,h 760-820,0.9798045,3.5 +10,10,27437,10,2,7,1,41,3.5,2.06,66,Y,1.75,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.473663,g 700+,i 820+,0.9798045,3.5 +3,9,27474,4,2,7,3,29.5,3.5,-0.45,68,Y,1.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.8947235,f 640-700,f 640-700,0.9798045,3.5 +8,7,6,8,2,7,1,37,3.4,0.63,68,Y,0.37,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,1,42,3,2,7,4,36,3.4,-0.6,67,Y,-1.63,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,6,77,7,2,7,1,39,3.4,0.45,69,Y,0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,3,96,4,1,7,1,41,3.4,-0.38,65,Y,-0.83,F,7,F,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +2,3,99,2,1,7,5,33.5,3.4,-0.91,67,Y,-0.57,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,711.0526155,g 700+,g 700-760,0.99846447,3.4 +7,9,108,7,2,7,4,39,3.4,0.36,61,Y,1.23,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,2,118,2,2,7,1,42,3.4,-0.84,63,Y,-0.93,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +7,9,128,7,2,7,1,40,3.4,0.55,65,Y,1.01,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +4,4,131,4,1,5,5,44,3.4,-0.31,70,Y,-0.35,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +9,9,132,9,2,7,2,41,3.4,0.89,58,Y,0.94,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,829.473663,g 700+,i 820+,0.99846447,3.4 +8,8,147,8,1,7,3,48,3.4,0.77,69,Y,0.74,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,939.999974,g 700+,i 820+,0.99846447,3.4 +,,190,8,2,7,5,45,3.4,0.66,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +,,216,8,2,7,3,38,3.4,0.74,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,7,224,9,2,7,3,35.5,3.4,0.85,65,Y,0.37,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.6315615,g 700+,g 700-760,0.99846447,3.4 +9,7,229,9,1,7,3,33,3.4,1.01,69,Y,0.41,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +6,7,234,6,1,7,1,41,3.4,0.12,69,Y,0.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +9,10,244,9,1,7,3,37,3.4,1.02,55,Y,2.04,P,7,P,95,2,4,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,3,258,10,1,7,3,32,3.4,1.34,54,Y,-0.78,P,2,P,95,2,3,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,261,10,1,7,1,35,3.4,1.34,68,Y,1.42,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,8,272,8,2,7,4,42,3.4,0.55,69,Y,0.7,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +8,9,312,8,2,7,1,42,3.4,0.86,66,Y,1.05,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +2,2,317,2,2,7,1,39,3.4,-0.89,69,Y,-0.97,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,7,321,5,1,7,5,37,3.4,-0.06,69,Y,0.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,1,336,1,2,3,5,40,3.4,-1.53,69,Y,-1.49,P,2,P,94,1,2,-67,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,339,2,2,4,5,42,3.4,-1.12,68,Y,,P,2,P,95,1,2,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +1,3,355,1,2,7,4,35,3.4,-1.96,65,Y,-0.76,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,9,382,10,1,7,1,41,3.4,1.57,68,Y,1.01,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,6,397,7,2,7,1,47,3.4,0.32,68,Y,0.27,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,924.210501,g 700+,i 820+,0.99846447,3.4 +1,2,409,1,1,7,5,47,3.4,-1.29,69,Y,-1.06,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +8,7,417,8,2,7,4,46,3.4,0.73,68,Y,0.28,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +3,6,420,3,1,4,3,39,3.4,-0.68,65,Y,0,P,7,P,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,5,429,5,1,7,3,37,3.4,-0.1,69,Y,-0.14,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,432,2,1,7,5,41,3.4,-1,54,Y,,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +9,6,475,9,1,7,1,39,3.4,1,69,Y,0.19,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,1,538,2,2,7,5,42,3.4,-0.9,66,Y,-1.46,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,545,10,1,7,1,43,3.4,2.28,67,Y,1.89,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +3,3,548,3,2,7,1,33,3.4,-0.53,40,Y,-0.88,P,2,P,95,2,3,-38,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,5,603,3,2,7,4,42,3.4,-0.7,65,Y,0.01,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +7,9,621,7,1,7,3,37,3.4,0.47,69,Y,1.06,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,4,640,8,2,7,5,48,3.4,0.7,68,Y,-0.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +10,9,646,10,2,7,3,34,3.4,1.7,69,Y,1.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +6,7,651,6,2,7,3,32,3.4,0.24,68,Y,0.33,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,2,665,3,1,8,4,35,3.4,-0.74,70,Y,-1.17,P,2,P,95,1,4,-68,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +,,677,9,1,7,4,37,3.4,0.98,65,Y,,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,10,701,10,2,7,3,43,3.4,1.85,69,Y,2.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +8,9,720,8,1,7,1,35,3.4,0.79,60,Y,1.02,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,1,734,4,1,7,4,42,3.4,-0.32,65,Y,-1.73,P,2,P,96,2,3,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +3,3,737,4,2,7,1,40,3.4,-0.49,60,Y,-0.57,F,7,F,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,8,750,9,2,7,1,43,3.4,1.08,65,Y,0.75,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +7,5,753,7,1,7,1,39,3.4,0.57,63,Y,0,P,7,P,93,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,7,757,5,2,7,4,46,3.4,-0.06,69,Y,0.32,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +2,2,766,3,1,7,4,36.5,3.4,-0.8,65,Y,-0.87,F,7,P,95,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,758.4210345,g 700+,g 700-760,0.99846447,3.4 +5,3,768,5,2,7,4,42,3.4,-0.16,69,Y,-0.73,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +8,9,787,9,2,7,1,38,3.4,0.88,68,Y,1.23,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,3,796,2,1,7,1,30,3.4,-1.07,69,Y,-0.87,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.78946,f 640-700,f 640-700,0.99846447,3.4 +,,798,8,2,3,5,47,3.4,0.73,67,Y,,P,7,P,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +9,9,822,9,2,7,3,37.5,3.4,0.95,69,Y,1.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.2105075,g 700+,h 760-820,0.99846447,3.4 +3,3,824,3,1,7,1,41,3.4,-0.55,69,Y,-0.64,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +4,6,855,4,1,7,4,38,3.4,-0.37,69,Y,0.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,8,863,7,1,7,3,34,3.4,0.37,69,Y,0.62,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,9,893,10,2,7,1,40,3.4,1.38,66,Y,1.23,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,903,2,2,7,5,43,3.4,-0.86,70,Y,,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +2,6,905,3,2,7,2,32,3.4,-0.73,68,Y,0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,924,10,1,7,3,33,3.4,1.55,64,Y,1.48,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,5,927,7,1,7,4,34,3.4,0.41,69,Y,-0.17,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,5,934,3,2,7,3,32,3.4,-0.75,67,Y,-0.17,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,938,10,1,7,1,39,3.4,1.33,69,Y,1.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,6,955,5,2,7,3,42,3.4,-0.12,54,Y,0.18,P,2,P,96,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +4,3,963,5,2,7,1,35,3.4,-0.2,67,Y,-0.7,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,965,8,1,7,3,34,3.4,0.8,58,Y,0.81,P,2,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,998,9,2,8,3,38,3.4,1.13,67,Y,0.93,P,2,P,95,1,3,-65,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,5,999,7,1,7,4,23,3.4,0.3,69,Y,-0.12,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,545.263149,d 520-580,d 520-580,0.99846447,3.4 +9,8,1003,9,2,7,2,30.5,3.4,1.17,69,Y,0.77,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +5,4,1015,5,1,7,3,39,3.4,-0.05,68,Y,-0.35,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,8,1053,7,2,7,1,46,3.4,0.32,56,Y,0.58,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +,,1061,,1,7,4,36,3.4,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,8,1082,7,2,7,3,42,3.4,0.38,66,Y,0.56,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +8,7,1097,8,1,7,5,48,3.4,0.71,67,Y,0.51,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +4,5,1099,4,2,7,1,37,3.4,-0.31,60,Y,-0.21,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,6,1114,6,2,7,1,43,3.4,0.08,68,Y,0.14,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +4,6,1123,4,1,7,1,42,3.4,-0.4,66,Y,0.21,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +6,7,1144,6,1,7,3,34,3.4,0.06,67,Y,0.36,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,1157,9,2,2,4,47,3.4,1.22,68,Y,0.87,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,924.210501,g 700+,i 820+,0.99846447,3.4 +5,4,1164,5,2,7,3,44,3.4,-0.02,68,Y,-0.49,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,876.842082,g 700+,i 820+,0.99846447,3.4 +5,6,1180,5,1,7,3,31,3.4,-0.08,66,Y,0.25,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +1,2,1190,2,1,2,4,45,3.4,-1.25,51,Y,-1.21,P,7,P,94,1,2,-44,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +5,4,1193,5,1,7,3,37,3.4,-0.1,45,Y,-0.4,P,2,P,95,1,5,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,1208,8,2,7,1,45,3.4,0.83,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +6,7,1247,6,1,7,1,41,3.4,0.25,69,Y,0.37,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +2,2,1256,2,2,7,1,38,3.4,-0.88,69,Y,-1.22,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,7,1258,7,1,7,1,36,3.4,0.3,64,Y,0.44,P,2,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,5,1279,8,2,7,1,34,3.4,0.61,69,Y,-0.09,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,8,1325,5,2,7,1,37,3.4,-0.02,64,Y,0.64,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,6,1328,6,1,7,3,36,3.4,0.2,68,Y,0.11,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,3,1334,3,1,7,1,38,3.4,-0.53,69,Y,-0.67,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,6,1351,7,1,7,1,37,3.4,0.47,69,Y,0.17,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,4,1352,6,2,7,1,30,3.4,0.14,68,Y,-0.32,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.78946,f 640-700,f 640-700,0.99846447,3.4 +9,9,1361,9,1,7,4,35,3.4,0.9,60,Y,1.09,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,5,1381,7,1,8,4,41,3.4,0.3,69,Y,-0.01,P,7,P,94,1,2,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +7,5,1401,7,2,7,4,39,3.4,0.54,67,Y,-0.01,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,9,1434,10,1,7,3,37,3.4,1.8,59,Y,1.24,P,7,P,95,2,3,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,9,1442,8,1,7,5,36,3.4,0.78,65,Y,1.19,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,8,1446,6,2,7,1,42,3.4,0.17,69,Y,0.72,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +,,1455,,1,7,1,40,3.4,,65,Y,0.92,P,2,P,95,2,4,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,7,1467,6,2,7,1,33,3.4,0.28,67,Y,0.38,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,6,1508,4,2,8,3,21.5,3.4,-0.44,63,Y,0.25,P,7,P,94,1,1,-56,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,521.5789395,d 520-580,d 520-580,0.99846447,3.4 +1,1,1512,1,1,3,4,28.5,3.4,-2.87,68,Y,-2.52,F,2,F,95,1,2,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +10,9,1523,10,2,7,6,42,3.4,1.39,43,Y,1.32,P,7,P,94,1,4,-36,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,845.263136,g 700+,i 820+,0.99846447,3.4 +2,4,1532,3,1,7,1,37,3.4,-0.77,65,Y,-0.5,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,2,1533,2,2,7,1,39,3.4,-1.09,69,Y,-1.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,1,1545,2,1,7,1,42,3.4,-1.13,68,Y,-1.74,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,4,1564,9,2,7,5,43,3.4,1.2,61,Y,-0.23,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +9,9,1587,9,2,7,6,21,3.4,1.16,68,Y,1.17,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,513.684203,c 460-520,c 460-520,0.99846447,3.4 +9,7,1611,9,2,7,3,32,3.4,1.16,69,Y,0.54,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,5,1612,3,1,7,1,39,3.4,-0.52,57,Y,-0.21,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,4,1669,7,2,7,3,29,3.4,0.51,61,Y,-0.3,F,7,F,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,639.999987,e 580-640,e 580-640,0.99846447,3.4 +9,10,1673,9,2,7,1,41,3.4,0.98,63,Y,1.48,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +7,7,1676,7,2,7,3,36,3.4,0.37,66,Y,0.37,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,5,1685,4,1,7,1,41,3.4,-0.39,57,Y,0,F,7,P,95,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +8,4,1689,8,1,7,1,35,3.4,0.72,68,Y,-0.48,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,1723,8,2,7,4,40,3.4,0.8,69,Y,0.76,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,4,1728,5,2,7,2,31,3.4,-0.18,64,Y,-0.53,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +8,8,1753,9,2,7,1,39,3.4,0.88,69,Y,0.74,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,5,1768,4,2,7,4,36,3.4,-0.29,67,Y,-0.22,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,10,1775,9,1,7,5,36,3.4,1.34,68,Y,1.76,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,2,1777,3,1,7,3,31,3.4,-0.54,69,Y,-1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +4,4,1779,4,2,7,3,36,3.4,-0.29,63,Y,-0.5,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,1816,,1,7,4,35,3.4,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,3,1859,5,2,7,1,46,3.4,-0.03,67,Y,-0.69,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +10,10,1862,10,1,7,2,32.5,3.4,1.81,67,Y,2.09,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +4,4,1884,4,2,7,1,40,3.4,-0.32,68,Y,-0.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,4,1902,5,1,7,2,33,3.4,-0.05,68,Y,-0.53,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,10,1911,9,2,7,1,40,3.4,1.11,68,Y,1.37,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,3,1913,2,2,7,3,30,3.4,-0.98,55,Y,-0.67,F,7,P,96,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +2,5,1927,2,1,7,3,37,3.4,-0.92,69,Y,-0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,1931,10,2,7,1,32,3.4,1.3,67,Y,1.24,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +,,1946,,1,7,3,38,3.4,,65,Y,,P,2,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,2,1951,3,1,6,1,35,3.4,-0.75,69,Y,-1.09,P,7,P,94,1,5,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,5,1952,6,1,7,1,36,3.4,0.25,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,8,1971,9,2,7,3,40,3.4,1.17,68,Y,0.74,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,4,1978,5,2,7,4,37,3.4,-0.02,62,Y,-0.32,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,4,2008,4,1,7,1,31.5,3.4,-0.37,65,Y,-0.42,F,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +,,2045,,1,7,3,33,3.4,,57,Y,-0.32,P,2,P,96,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +10,9,2069,10,1,7,1,41,3.4,1.36,69,Y,0.88,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +1,2,2080,1,1,7,1,36.5,3.4,-1.43,64,Y,-0.9,P,7,P,94,1,1,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.4210345,g 700+,g 700-760,0.99846447,3.4 +6,6,2091,6,1,6,4,34,3.4,0.23,69,Y,0.14,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,2101,9,2,7,3,33,3.4,1.03,59,Y,1.08,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,5,2126,3,2,7,3,32,3.4,-0.65,62,Y,-0.12,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +2,2,2137,3,1,7,5,41,3.4,-0.85,69,Y,-0.95,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +,,2145,,1,7,6,27,3.4,,55,Y,,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,608.421041,e 580-640,e 580-640,0.99846447,3.4 +5,3,2149,5,2,7,3,32.5,3.4,-0.17,67,Y,-0.66,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +,,2158,,2,7,6,40,3.4,,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,5,2166,3,1,6,1,29,3.4,-0.52,69,Y,-0.07,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,639.999987,e 580-640,e 580-640,0.99846447,3.4 +1,1,2171,1,2,7,4,38,3.4,-1.57,67,Y,-1.45,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,3,2185,5,1,2,3,31,3.4,-0.19,68,Y,-0.6,P,2,P,94,1,4,-66,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +9,9,2193,9,1,2,4,43,3.4,1,64,Y,1.13,P,7,P,94,1,4,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +5,3,2218,5,2,7,1,33,3.4,-0.12,69,Y,-0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +2,2,2227,2,2,7,4,41,3.4,-0.95,57,Y,-0.91,P,7,P,93,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +3,3,2246,3,2,7,3,36,3.4,-0.58,67,Y,-0.69,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,5,2247,5,2,7,4,41,3.4,-0.2,64,Y,-0.08,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +5,7,2261,5,1,7,3,27,3.4,-0.03,53,Y,0.3,P,7,P,95,2,4,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,608.421041,e 580-640,e 580-640,0.99846447,3.4 +1,1,2271,2,2,7,3,34,3.4,-1.22,69,Y,-1.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,8,2275,10,2,7,1,38,3.4,1.6,57,Y,0.65,P,7,P,94,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,4,2288,9,1,7,3,35,3.4,0.91,61,Y,-0.32,P,7,P,94,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,3,2319,5,2,7,2,30.5,3.4,-0.1,68,Y,-0.86,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +8,7,2320,8,2,7,3,26,3.4,0.75,69,Y,0.5,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,592.631568,e 580-640,e 580-640,0.99846447,3.4 +3,4,2324,3,2,7,2,31,3.4,-0.7,69,Y,-0.58,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +9,9,2341,9,1,7,5,48,3.4,1.38,66,Y,1.11,P,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +9,9,2357,9,1,7,1,43,3.4,0.97,68,Y,0.94,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +8,7,2374,9,1,7,3,32,3.4,0.85,69,Y,0.52,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +7,6,2430,7,1,7,1,37,3.4,0.4,69,Y,0.02,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,5,2447,5,1,7,1,46,3.4,-0.11,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +7,9,2454,7,2,7,1,45,3.4,0.55,69,Y,1.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +5,5,2460,5,2,7,3,40,3.4,-0.07,68,Y,-0.11,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +4,4,2465,4,2,7,3,36,3.4,-0.25,68,Y,-0.42,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,5,2470,9,2,7,1,42,3.4,0.94,68,Y,-0.14,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +4,7,2484,4,1,7,5,45,3.4,-0.4,63,Y,0.45,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +7,5,2491,7,2,2,3,34,3.4,0.36,69,Y,-0.05,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +4,1,2509,4,2,7,2,35,3.4,-0.34,69,Y,-1.26,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,4,2512,4,1,7,1,41,3.4,-0.28,65,Y,-0.37,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +4,3,2515,5,2,7,1,40,3.4,-0.2,59,Y,-0.73,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,7,2516,8,1,7,3,38,3.4,0.52,68,Y,0.52,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,7,2531,8,1,7,3,38,3.4,0.66,69,Y,0.5,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,2534,10,2,7,1,40,3.4,1.72,66,Y,1.58,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,2549,,1,7,1,37,3.4,,69,Y,0.33,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,3,2589,6,2,6,3,32,3.4,0.02,66,Y,-0.77,P,7,P,94,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +6,5,2609,6,1,7,4,40,3.4,0.07,69,Y,-0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,9,2631,10,2,7,1,42,3.4,1.73,67,Y,1.19,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +1,1,2649,1,2,7,3,33,3.4,-2.29,64,Y,-2.77,F,7,P,96,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +2,1,2653,2,2,7,2,29,3.4,-0.97,67,Y,-1.52,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +10,9,2669,10,1,7,3,36,3.4,1.49,69,Y,1.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,2,2712,2,1,7,1,36,3.4,-1.27,68,Y,-1.12,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,3,2722,6,1,7,3,26.5,3.4,0.25,69,Y,-0.76,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,600.5263045,e 580-640,e 580-640,0.99846447,3.4 +,,2727,,1,7,4,41,3.4,,61,Y,,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +9,8,2733,9,1,7,1,37,3.4,1.25,69,Y,0.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,2743,9,2,7,5,46,3.4,1.11,64,Y,,P,2,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +3,4,2748,3,1,7,1,38,3.4,-0.66,69,Y,-0.4,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,10,2753,8,1,7,3,43,3.4,0.73,68,Y,1.83,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +7,4,2763,7,2,7,4,47,3.4,0.46,68,Y,-0.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,924.210501,g 700+,i 820+,0.99846447,3.4 +10,10,2770,10,1,7,3,30,3.4,1.61,69,Y,1.81,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +7,4,2774,7,2,7,4,42,3.4,0.4,69,Y,-0.44,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +8,6,2798,8,1,7,3,37,3.4,0.71,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,2801,9,2,7,3,35,3.4,1.02,69,Y,1.03,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +,,2808,,2,7,1,34,3.4,,59,Y,-0.22,P,2,P,96,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,9,2818,8,1,7,1,37,3.4,0.64,69,Y,1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,4,2844,2,2,7,1,36,3.4,-1.03,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,9,2877,8,1,7,3,39,3.4,0.75,65,Y,1.19,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,7,2889,8,2,7,5,46,3.4,0.81,70,Y,0.39,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +1,1,2900,2,2,7,1,42,3.4,-1.26,62,Y,-1.46,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +7,6,2902,7,1,7,4,39,3.4,0.49,69,Y,0.26,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,5,2925,5,1,7,3,42,3.4,-0.11,68,Y,-0.15,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +8,6,2942,8,2,7,4,35,3.4,0.74,65,Y,0.24,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,9,2961,10,2,7,2,42,3.4,1.43,58,Y,1,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,845.263136,g 700+,i 820+,0.99846447,3.4 +7,6,2968,7,1,7,1,40,3.4,0.42,68,Y,0.19,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,4,2982,7,2,7,2,28,3.4,0.44,67,Y,-0.34,F,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,624.210514,e 580-640,e 580-640,0.99846447,3.4 +3,5,2985,4,1,7,3,35,3.4,-0.48,66,Y,-0.2,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,3,2994,1,2,7,5,44,3.4,-1.74,69,Y,-0.75,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +10,10,3004,10,2,7,3,34,3.4,1.73,70,Y,1.59,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,3019,9,1,7,1,38,3.4,1.21,61,Y,1.1,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,3,3026,3,1,2,1,37.5,3.4,-0.54,69,Y,-0.55,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,774.2105075,g 700+,h 760-820,0.99846447,3.4 +5,2,3052,5,1,7,1,34,3.4,-0.02,69,Y,-1.22,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +6,7,3059,6,2,7,2,29,3.4,0.09,69,Y,0.49,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +3,3,3065,4,1,7,1,42,3.4,-0.5,69,Y,-0.83,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +4,4,3069,4,2,7,2,32,3.4,-0.37,58,Y,-0.38,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,687.368406,f 640-700,f 640-700,0.99846447,3.4 +2,1,3086,2,2,7,1,42,3.4,-0.97,69,Y,-1.64,F,6,F,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +10,9,3088,10,2,7,1,38,3.4,1.37,47,Y,1.13,P,7,P,94,1,2,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +1,1,3091,1,2,7,3,39,3.4,-1.42,69,Y,-1.34,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,5,3106,5,1,7,4,28,3.4,-0.17,69,Y,-0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,624.210514,e 580-640,e 580-640,0.99846447,3.4 +2,2,3108,2,2,7,3,40,3.4,-0.87,67,Y,-0.92,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,3,3133,4,1,7,1,34,3.4,-0.43,69,Y,-0.87,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +7,7,3138,7,2,7,4,39,3.4,0.49,67,Y,0.39,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,3,3146,3,1,2,1,43,3.4,-0.8,68,Y,-0.69,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +7,5,3155,7,2,7,3,40,3.4,0.39,69,Y,-0.07,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,2,3159,2,1,7,3,39,3.4,-1.16,69,Y,-1.24,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,3,3199,9,2,7,3,35,3.4,0.93,69,Y,-0.76,P,2,P,95,2,3,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +9,6,3222,9,1,7,1,48,3.4,0.91,55,Y,0.17,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,939.999974,g 700+,i 820+,0.99846447,3.4 +3,2,3235,3,1,4,1,34,3.4,-0.71,68,Y,-1.25,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,5,3240,3,1,7,5,47,3.4,-0.85,66,Y,-0.09,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +7,7,3254,7,1,7,5,41,3.4,0.54,66,Y,0.27,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +4,3,3258,4,1,7,1,35,3.4,-0.28,68,Y,-0.55,F,2,F,96,1,1,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +,,3272,,2,7,1,41,3.4,,62,Y,,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +7,5,3292,7,2,2,3,31,3.4,0.33,64,Y,-0.22,P,7,P,94,1,3,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +4,3,3341,4,1,7,3,31.5,3.4,-0.26,69,Y,-0.69,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +2,1,3349,3,2,7,3,39,3.4,-0.78,67,Y,-1.34,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,8,3389,7,1,6,2,30,3.4,0.3,63,Y,0.82,P,7,P,94,1,3,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.78946,f 640-700,f 640-700,0.99846447,3.4 +5,4,3392,6,2,6,5,43,3.4,0.06,70,Y,-0.23,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +2,2,3414,2,1,7,3,38,3.4,-1.02,49,Y,-1.24,P,7,P,95,2,2,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,3433,5,2,7,1,40,3.4,0.03,69,Y,-0.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,9,3445,8,1,7,5,48,3.4,0.69,68,Y,1.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +1,1,3452,1,2,7,3,39,3.4,-2.19,66,Y,-2.89,F,7,F,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,3453,10,2,7,3,42,3.4,1.9,68,Y,2.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,3476,10,2,7,1,39,3.4,2.14,64,Y,2.08,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,6,3484,6,2,7,4,42,3.4,0.14,65,Y,0.08,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +6,8,3494,6,1,7,3,31,3.4,0.23,69,Y,0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +7,7,3502,8,1,7,1,38,3.4,0.59,62,Y,0.31,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,2,3530,4,2,7,4,42,3.4,-0.5,70,Y,-0.96,P,7,P,94,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +1,3,3568,1,2,4,6,39,3.4,-1.82,49,Y,-0.83,F,7,F,94,1,2,-42,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,3569,9,2,7,3,29.5,3.4,0.92,68,X,,P,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +9,10,3577,10,1,7,4,44,3.4,1.28,51,Y,1.65,P,2,P,95,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +9,9,3579,9,2,7,1,39,3.4,1.21,69,Y,1.05,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,5,3589,5,1,6,3,31.5,3.4,-0.22,63,Y,-0.15,P,7,P,94,1,4,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +7,7,3625,7,1,7,3,33.5,3.4,0.47,66,Y,0.42,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.0526155,g 700+,g 700-760,0.99846447,3.4 +8,8,3629,8,1,7,3,32,3.4,0.75,68,Y,0.56,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,4,3654,5,1,8,1,38,3.4,-0.15,66,Y,-0.27,P,7,P,94,1,2,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,3664,5,1,7,3,34,3.4,-0.06,68,Y,-0.03,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,4,3705,5,2,2,4,40,3.4,-0.06,65,Y,-0.27,P,7,P,94,1,4,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,5,3709,5,2,7,1,36,3.4,-0.04,68,Y,-0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,7,3733,9,1,7,3,31,3.4,1.03,55,Y,0.32,P,7,P,95,2,4,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +,,3749,,2,7,2,26.5,3.4,,57,Y,,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,600.5263045,e 580-640,e 580-640,0.99846447,3.4 +2,3,3760,2,2,7,1,40,3.4,-1.11,67,Y,-0.76,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,3803,10,2,8,4,42,3.4,1.28,67,Y,1.71,P,7,P,94,1,4,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +5,3,3858,5,1,7,1,38,3.4,-0.15,68,Y,-0.72,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,3,3866,4,2,7,3,36,3.4,-0.34,69,Y,-0.74,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,3872,5,2,2,5,43,3.4,0.06,67,Y,,P,7,P,94,1,2,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +8,9,3904,8,2,7,3,36,3.4,0.77,68,Y,0.99,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,7,3936,5,1,7,3,35,3.4,-0.08,63,Y,0.49,P,2,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,5,3941,4,2,7,4,37,3.4,-0.48,69,Y,-0.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,10,3944,10,2,7,3,33,3.4,1.62,69,Y,1.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +6,7,3946,6,1,7,1,36,3.4,0.25,70,Y,0.42,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,6,3956,3,1,7,1,41,3.4,-0.69,67,Y,0.21,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +2,2,3957,2,1,4,4,38,3.4,-0.87,66,Y,-1.26,P,7,P,94,1,4,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,7,3972,7,1,7,4,46,3.4,0.4,66,Y,0.45,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +6,6,3979,7,1,7,1,32.5,3.4,0.33,67,Y,0.29,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +4,3,3980,4,1,7,3,43,3.4,-0.26,69,Y,-0.74,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +4,5,3983,4,1,7,5,40,3.4,-0.29,63,Y,-0.12,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,813.68419,g 700+,h 760-820,0.99846447,3.4 +4,5,3985,4,1,7,1,33,3.4,-0.38,69,Y,-0.15,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,8,4030,8,2,7,3,27.5,3.4,0.82,67,Y,0.74,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,616.3157775,e 580-640,e 580-640,0.99846447,3.4 +6,6,4052,6,1,7,4,39,3.4,0.17,68,Y,0.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,1,4069,1,1,7,4,39.5,3.4,-1.3,69,Y,-1.43,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.7894535,g 700+,h 760-820,0.99846447,3.4 +2,3,4085,2,2,7,3,42,3.4,-0.95,68,Y,-0.65,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +8,8,4093,8,1,7,3,38,3.4,0.79,68,Y,0.57,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,5,4104,6,2,7,4,40,3.4,0.16,69,Y,-0.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,2,4106,2,1,7,1,39,3.4,-0.92,69,Y,-0.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,6,4113,7,1,7,1,43,3.4,0.51,69,Y,0.27,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +5,5,4129,6,1,7,3,42,3.4,0,64,Y,-0.27,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +7,9,4148,7,1,7,4,39,3.4,0.44,52,Y,0.93,P,7,P,94,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,4159,,2,2,5,38,3.4,,66,Y,,P,7,P,94,1,1,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,782.105244,g 700+,h 760-820,0.99846447,3.4 +1,1,4171,1,2,7,3,33,3.4,-1.41,68,Y,-1.54,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,9,4198,9,2,7,1,45,3.4,0.94,61,Y,1.02,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +7,7,4211,8,2,7,2,34.5,3.4,0.56,69,Y,0.47,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,726.8420885,g 700+,g 700-760,0.99846447,3.4 +10,9,4216,10,1,7,3,38,3.4,1.34,66,Y,0.99,P,2,P,95,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,4259,5,1,7,3,31,3.4,-0.03,62,Y,-0.11,P,7,P,94,1,1,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +9,9,4264,9,2,7,1,45,3.4,0.97,67,Y,1.27,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +5,8,4278,5,1,7,5,43,3.4,-0.17,68,Y,0.56,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +8,9,4285,8,1,7,5,44,3.4,0.88,63,Y,1.03,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +5,6,4294,5,1,7,3,41,3.4,-0.02,68,Y,0.08,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +5,6,4295,6,2,7,3,36,3.4,0.04,57,Y,0.18,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,8,4298,5,1,7,5,43,3.4,-0.01,69,Y,0.73,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +,,4329,,1,7,1,37,3.4,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,6,4357,6,1,3,6,32,3.4,0.1,67,Y,0.09,P,2,P,95,1,2,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,687.368406,f 640-700,f 640-700,0.99846447,3.4 +4,4,4376,5,2,7,1,38,3.4,-0.18,66,Y,-0.38,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,4379,10,1,7,3,45,3.4,2.09,69,Y,2.13,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,892.631555,g 700+,i 820+,0.99846447,3.4 +5,4,4382,5,2,7,3,28.5,3.4,-0.12,52,Y,-0.37,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +7,8,4386,7,2,7,3,35,3.4,0.47,64,Y,0.81,P,2,P,95,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,2,4397,1,1,4,1,32,3.4,-1.45,65,Y,-1.12,P,7,P,95,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,5,4408,5,1,7,1,41,3.4,-0.11,69,Y,-0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +,,4410,,2,7,1,42,3.4,,70,Y,,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +8,8,4441,8,1,7,1,38,3.4,0.83,69,Y,0.8,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,8,4451,8,2,7,1,39,3.4,0.81,64,Y,0.61,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,6,4461,8,1,7,1,41,3.4,0.67,65,Y,0.26,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,3,4491,6,1,7,1,40,3.4,0.12,69,Y,-0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,4,4492,5,2,7,1,37.5,3.4,-0.08,66,Y,-0.52,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.2105075,g 700+,h 760-820,0.99846447,3.4 +2,3,4509,2,2,7,1,41,3.4,-0.86,68,Y,-0.73,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +10,10,4534,10,2,7,4,34,3.4,1.79,67,Y,1.62,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +1,1,4549,2,1,7,3,27,3.4,-1.21,51,Y,-1.64,F,7,F,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,608.421041,e 580-640,e 580-640,0.99846447,3.4 +10,10,4573,10,1,7,3,31,3.4,1.64,64,Y,2.13,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +10,10,4575,10,2,7,4,45,3.4,1.64,69,Y,1.9,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +1,1,4579,1,2,7,3,36.5,3.4,-1.47,68,Y,-1.4,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,758.4210345,g 700+,g 700-760,0.99846447,3.4 +6,6,4590,6,2,7,3,37,3.4,0.16,67,Y,0.1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,2,4595,2,1,7,2,35,3.4,-1.23,70,Y,-1.13,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,9,4603,8,2,7,4,44,3.4,0.81,66,Y,1.28,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +6,6,4613,6,2,7,3,37,3.4,0.2,68,Y,0.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,9,4616,10,2,7,4,46,3.4,1.4,59,Y,1.12,P,7,P,94,1,5,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +3,2,4623,3,2,7,1,42,3.4,-0.58,69,Y,-1.04,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +2,2,4626,3,2,2,3,28,3.4,-0.81,68,Y,-1.01,P,2,P,95,1,4,-66,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +2,1,4628,2,1,3,4,31,3.4,-1.12,69,Y,-1.9,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,671.578933,f 640-700,f 640-700,0.99846447,3.4 +4,4,4637,4,1,7,4,41,3.4,-0.39,68,Y,-0.48,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +6,6,4664,6,1,7,3,37,3.4,0.19,69,Y,0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,2,4669,2,2,4,1,39,3.4,-1.01,67,Y,-0.94,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,4,4671,5,2,7,1,39,3.4,-0.17,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,4,4684,4,1,7,3,33,3.4,-0.33,49,Y,-0.33,P,7,P,95,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +,,4688,,2,7,1,37,3.4,,66,Y,0.03,P,2,P,96,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,2,4724,2,2,7,1,39,3.4,-1.1,69,Y,-0.9,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,8,4745,7,2,7,1,34,3.4,0.55,69,Y,0.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,4753,,1,2,1,34,3.4,,69,Y,,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +3,4,4790,3,1,7,1,40,3.4,-0.62,67,Y,-0.46,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,9,4826,8,1,7,3,39,3.4,0.79,69,Y,1.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,2,4849,2,1,7,1,32,3.4,-0.87,62,Y,-1.08,P,7,P,94,1,,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +,,4859,,1,7,6,28,3.4,,62,Y,,F,7,F,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,624.210514,e 580-640,e 580-640,0.99846447,3.4 +,,4861,,1,7,5,42,3.4,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +7,8,4886,7,1,7,1,38,3.4,0.36,68,Y,0.71,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,4904,5,2,7,1,35,3.4,-0.11,69,Y,-0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,6,4908,6,2,7,1,37,3.4,0.26,59,Y,0.14,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,8,4919,7,2,7,1,42,3.4,0.52,68,Y,0.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +7,8,4923,7,2,7,5,41,3.4,0.41,67,Y,0.55,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +4,2,4958,4,1,2,4,40,3.4,-0.43,69,Y,-1.17,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,9,4984,9,1,7,3,37,3.4,1.06,68,Y,1.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,6,4989,6,1,7,1,42,3.4,0.09,68,Y,0.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +1,1,5000,1,2,7,1,31,3.4,-1.45,50,Y,-1.52,P,2,P,95,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.578933,f 640-700,f 640-700,0.99846447,3.4 +4,8,5010,4,2,7,4,44,3.4,-0.33,68,Y,0.58,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +7,7,5019,8,2,7,1,46,3.4,0.59,68,Y,0.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +4,6,5076,5,1,7,5,48,3.4,-0.2,60,Y,0.26,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +7,9,5087,7,1,7,4,34,3.4,0.48,70,Y,1.17,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,2,5092,2,1,7,5,42,3.4,-1.1,69,Y,-1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +1,3,5098,1,2,7,4,43,3.4,-1.3,68,Y,-0.79,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +6,8,5110,7,2,7,1,42,3.4,0.33,67,Y,0.63,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +3,6,5120,3,1,7,4,46,3.4,-0.56,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +9,7,5121,9,2,7,3,43,3.4,0.97,69,Y,0.46,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +8,9,5133,8,1,7,1,42,3.4,0.77,66,Y,0.88,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +7,8,5134,8,1,7,1,42,3.4,0.62,65,Y,0.59,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +4,5,5164,4,2,7,3,36,3.4,-0.39,67,Y,-0.19,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,8,5182,6,1,7,3,39,3.4,0.21,51,Y,0.84,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,8,5190,6,2,7,4,36,3.4,0.04,68,Y,0.6,P,7,P,95,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,5201,6,1,7,1,45,3.4,0.17,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +3,3,5264,3,1,7,1,30.5,3.4,-0.66,60,Y,-0.78,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +5,4,5281,5,1,2,4,35,3.4,-0.07,68,Y,-0.29,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,5288,8,2,8,1,42,3.4,0.62,67,Y,0.67,P,7,P,94,1,3,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +2,2,5324,2,1,6,1,32,3.4,-1.13,69,Y,-0.97,F,7,P,95,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,3,5325,3,1,2,3,37,3.4,-0.68,69,Y,-0.71,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,1,5328,2,1,6,1,29.5,3.4,-1.03,,Y,-1.39,P,7,P,94,1,4,,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +5,5,5340,5,2,7,1,41,3.4,-0.07,54,Y,0.01,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,7,5344,6,1,7,3,39,3.4,0.19,68,Y,0.5,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,7,5357,4,2,7,3,34,3.4,-0.39,62,Y,0.28,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,5362,10,1,7,6,40,3.4,1.86,65,Y,1.87,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,7,5366,8,1,7,3,41,3.4,0.66,69,Y,0.35,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +7,8,5435,7,1,2,4,46,3.4,0.54,68,Y,0.67,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +6,6,5446,7,1,7,3,40,3.4,0.26,59,Y,0.23,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,5471,10,2,7,3,38,3.4,2.34,68,Y,2.06,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,6,5475,7,2,7,1,44,3.4,0.51,70,Y,0.25,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +9,8,5509,9,2,7,1,33,3.4,1.19,69,Y,0.77,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,8,5510,8,1,7,3,36,3.4,0.66,68,Y,0.82,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,8,5513,9,1,7,3,40,3.4,1.01,69,Y,0.64,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,4,5523,6,2,7,3,46,3.4,0.2,68,Y,-0.36,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,908.421028,g 700+,i 820+,0.99846447,3.4 +4,3,5524,5,2,7,3,35,3.4,-0.2,68,Y,-0.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,7,5533,8,2,7,1,45,3.4,0.69,64,Y,0.55,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +9,9,5551,9,1,7,3,35,3.4,1.04,70,Y,1.23,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +2,4,5556,2,2,7,1,40,3.4,-1.06,69,Y,-0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,1,5562,2,1,7,3,37,3.4,-1.26,58,Y,-1.38,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,6,5581,5,1,7,3,38,3.4,-0.18,69,Y,0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,5582,10,2,7,2,31,3.4,1.64,61,Y,1.58,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +4,2,5600,4,2,7,1,37,3.4,-0.28,68,Y,-1.19,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,7,5607,7,1,7,3,30.5,3.4,0.25,67,Y,0.53,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +1,3,5631,1,2,7,4,45,3.4,-1.27,68,Y,-0.79,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +6,5,5642,6,2,7,3,32,3.4,0.17,67,Y,-0.09,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +2,3,5647,2,1,7,3,33.5,3.4,-1.06,69,Y,-0.89,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.0526155,g 700+,g 700-760,0.99846447,3.4 +10,9,5655,10,2,7,1,40,3.4,1.37,68,Y,1.26,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,2,5662,2,1,2,4,37.5,3.4,-0.88,69,Y,-1.12,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,774.2105075,g 700+,h 760-820,0.99846447,3.4 +10,10,5667,10,2,7,3,38,3.4,1.74,64,Y,1.32,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,3,5674,6,1,6,4,32,3.4,0.2,69,Y,-0.61,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +2,3,5677,2,1,2,1,29.5,3.4,-0.93,69,Y,-0.84,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +9,8,5687,9,2,7,1,40,3.4,0.94,67,Y,0.69,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,5,5688,8,2,7,1,40,3.4,0.87,66,Y,-0.15,F,7,P,96,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,9,5713,9,1,7,3,31,3.4,0.91,69,Y,1.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +4,4,5718,4,2,7,3,36,3.4,-0.28,69,Y,-0.54,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,5,5719,3,1,7,1,40,3.4,-0.66,70,Y,-0.08,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,8,5724,8,2,7,4,40,3.4,0.69,65,Y,0.63,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,9,5727,9,2,7,1,35,3.4,0.91,64,Y,0.95,P,2,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,7,5729,6,2,7,3,39,3.4,0.09,66,Y,0.42,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,8,5733,9,2,7,4,43,3.4,0.89,68,Y,0.8,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +,,5751,,1,7,5,36,3.4,,61,Y,,F,7,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,9,5758,8,2,7,1,42,3.4,0.69,68,Y,0.99,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +2,2,5784,2,1,3,5,33,3.4,-1.11,69,Y,-1.04,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,5,5787,3,2,7,2,28.5,3.4,-0.61,68,Y,-0.09,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +4,6,5792,4,2,7,2,29.5,3.4,-0.37,64,Y,0.01,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +6,6,5797,7,2,7,3,41,3.4,0.3,68,Y,0.16,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +10,10,5815,10,1,7,1,40,3.4,2.03,67,Y,1.41,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,5825,,1,7,3,34,3.4,,68,Y,,P,7,P,95,2,2,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,9,5837,9,2,7,1,33,3.4,0.89,69,Y,1.2,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,3,5852,4,2,7,1,33.5,3.4,-0.43,69,Y,-0.74,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.0526155,g 700+,g 700-760,0.99846447,3.4 +1,1,5880,1,1,4,3,27,3.4,-1.84,69,Y,-1.65,F,7,P,96,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,608.421041,e 580-640,e 580-640,0.99846447,3.4 +,,5898,,1,7,3,34,3.4,,67,Y,,P,7,P,94,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,5901,10,2,7,3,39,3.4,1.71,69,Y,1.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,9,5945,8,1,3,6,19,3.4,0.77,60,Y,1.25,P,7,P,94,1,2,-53,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,482.105257,c 460-520,c 460-520,0.99846447,3.4 +5,7,5948,6,2,7,3,30,3.4,0.03,69,Y,0.26,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +7,8,5950,8,2,7,3,32,3.4,0.56,69,Y,0.78,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,4,6001,6,1,7,2,39,3.4,0.04,58,Y,-0.36,P,2,P,95,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,7,6013,7,1,7,1,37,3.4,0.32,68,Y,0.3,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,8,6016,6,2,7,1,40,3.4,0.15,59,Y,0.59,P,2,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,2,6031,2,2,7,1,35,3.4,-1.27,57,Y,-1.03,F,7,P,95,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,6035,10,1,7,1,44,3.4,1.45,56,Y,1.5,P,7,P,94,1,2,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +8,8,6075,8,2,7,3,38,3.4,0.65,69,Y,0.57,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,6089,6,1,2,6,24,3.4,0.12,61,Y,-0.17,F,7,F,94,1,2,-54,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,1,561.052622,d 520-580,d 520-580,0.99846447,3.4 +3,4,6104,3,1,7,5,46,3.4,-0.64,69,Y,-0.36,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +7,8,6112,7,1,7,4,32,3.4,0.4,44,Y,0.79,P,2,P,96,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +8,6,6123,8,1,7,3,30,3.4,0.76,69,Y,-0.01,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +4,6,6134,4,2,7,2,28.5,3.4,-0.36,68,Y,0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +5,6,6142,5,2,7,1,41,3.4,0.02,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +1,2,6153,1,1,7,4,44,3.4,-1.4,69,Y,-1.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +8,9,6185,8,1,7,2,40,3.4,0.77,69,Y,1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,8,6198,7,1,7,4,41,3.4,0.46,70,Y,0.76,P,2,P,95,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +3,4,6202,3,1,7,1,34,3.4,-0.64,69,Y,-0.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +3,5,6232,3,1,7,4,37,3.4,-0.51,68,Y,-0.14,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,5,6246,6,2,7,1,41,3.4,0.16,52,Y,-0.09,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +10,10,6265,10,2,7,3,35,3.4,1.51,58,Y,1.7,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,5,6272,9,2,7,3,41,3.4,0.85,68,Y,-0.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +5,1,6285,5,2,7,3,40,3.4,-0.13,68,Y,-1.62,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,5,6307,6,1,7,4,41,3.4,0.18,69,Y,-0.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +9,8,6315,9,2,7,4,41,3.4,1,69,Y,0.68,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +9,10,6327,9,1,7,1,37,3.4,1.22,59,Y,1.38,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,10,6348,9,2,7,1,37,3.4,1.25,69,Y,1.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,7,6387,7,1,7,3,33,3.4,0.41,68,Y,0.37,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +2,1,6401,2,1,3,3,23.5,3.4,-0.85,67,Y,-1.4,F,7,F,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,553.1578855,d 520-580,d 520-580,0.99846447,3.4 +,,6406,,2,7,1,39,3.4,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,1,6407,4,2,5,3,21,3.4,-0.27,62,Y,-2.12,F,2,F,95,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,513.684203,c 460-520,c 460-520,0.99846447,3.4 +5,5,6429,5,1,7,4,42,3.4,-0.08,66,Y,-0.07,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +4,4,6430,4,1,7,4,39,3.4,-0.41,69,Y,-0.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,3,6446,3,1,7,4,44,3.4,-0.62,68,Y,-0.67,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +7,8,6448,7,2,7,4,40,3.4,0.38,68,Y,0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,7,6459,5,2,7,1,40,3.4,-0.11,65,Y,0.55,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,1,6460,3,2,7,4,37,3.4,-0.56,60,Y,-1.82,F,2,F,96,2,2,-58,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,8,6467,8,1,7,3,35,3.4,0.56,68,Y,0.83,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,5,6471,7,2,7,1,35,3.4,0.3,68,Y,-0.07,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,6473,10,1,7,1,37,3.4,1.81,65,Y,1.64,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,7,6476,8,2,7,4,37,3.4,0.58,69,Y,0.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,7,6496,5,1,7,4,33,3.4,-0.07,47,Y,0.51,P,7,P,95,2,2,-40,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,8,6507,8,1,2,4,39,3.4,0.78,67,Y,0.55,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,9,6562,10,1,7,1,41,3.4,1.63,70,Y,0.98,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +2,6,6573,2,1,7,1,32,3.4,-0.9,68,Y,0.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +4,4,6580,4,1,7,1,43,3.4,-0.38,67,Y,-0.42,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +8,8,6607,8,1,7,4,42,3.4,0.83,69,Y,0.59,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +4,5,6611,4,1,7,1,42,3.4,-0.25,68,Y,-0.1,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +4,4,6629,4,2,4,1,30,3.4,-0.29,65,Y,-0.32,P,2,P,94,1,3,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.78946,f 640-700,f 640-700,0.99846447,3.4 +8,9,6642,8,2,7,1,37,3.4,0.81,67,Y,0.94,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,7,6644,8,1,7,3,39,3.4,0.61,46,Y,0.31,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,8,6661,8,1,7,3,38,3.4,0.81,61,Y,0.58,F,7,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,8,6704,5,1,7,1,38,3.4,0.03,63,Y,0.76,P,7,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,6740,10,2,7,4,34,3.4,1.81,69,Y,1.81,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,6742,,2,6,5,31,3.4,,64,Y,,P,2,P,95,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,671.578933,f 640-700,f 640-700,0.99846447,3.4 +7,9,6786,8,2,7,2,29,3.4,0.55,68,Y,1.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +7,6,6802,7,1,7,3,46,3.4,0.46,51,Y,0.16,P,7,P,93,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,908.421028,g 700+,i 820+,0.99846447,3.4 +4,8,6828,4,1,7,3,32.5,3.4,-0.34,69,Y,0.64,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +9,10,6830,9,2,7,3,38,3.4,0.88,68,Y,1.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,7,6833,7,1,7,1,39,3.4,0.55,60,Y,0.31,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,2,6834,2,1,7,5,35,3.4,-0.87,,Y,-1.22,P,7,P,94,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,734.736825,g 700+,g 700-760,0.99846447,3.4 +9,8,6835,9,2,7,1,41,3.4,1.25,68,Y,0.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +4,8,6838,5,1,7,3,37,3.4,-0.23,66,Y,0.55,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,4,6852,3,2,7,4,27.5,3.4,-0.6,67,Y,-0.28,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,616.3157775,e 580-640,e 580-640,0.99846447,3.4 +7,7,6870,7,2,7,3,37,3.4,0.43,66,Y,0.47,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,2,6874,2,1,7,1,39,3.4,-0.94,67,Y,-1.04,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,3,6877,5,1,7,3,35,3.4,-0.21,63,Y,-0.87,F,7,F,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,1,6884,1,2,1,1,36,3.4,-1.71,67,Y,-1.53,P,7,P,94,1,4,-60,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,6895,,2,7,6,35,3.4,,52,Y,,F,7,F,94,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,6,6913,7,1,7,3,30,3.4,0.5,66,Y,0.13,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +9,6,6921,9,2,7,1,34,3.4,1.17,67,Y,0.28,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,10,6956,9,1,7,3,32,3.4,0.84,69,Y,1.74,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +1,1,6957,2,2,7,3,38,3.4,-1.13,69,Y,-1.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,6,6966,6,2,7,5,42,3.4,0.15,68,Y,0.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +9,7,6971,9,2,7,2,38,3.4,0.89,68,Y,0.41,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,6,6981,6,2,7,5,48,3.4,0.33,67,Y,0.22,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +10,9,6988,10,2,7,3,41,3.4,1.74,68,Y,1.14,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +,,6993,9,2,7,5,41,3.4,1.17,60,Y,,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +8,7,7022,8,2,7,1,45,3.4,0.62,69,Y,0.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +4,2,7024,4,1,7,3,28,3.4,-0.3,56,Y,-1.11,P,2,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +,,7050,,1,5,5,30,3.4,,70,Y,,F,7,F,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,6,655.78946,f 640-700,f 640-700,0.99846447,3.4 +7,6,7054,7,2,7,3,36,3.4,0.42,69,Y,-0.02,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +10,10,7055,10,2,7,2,32,3.4,1.26,68,Y,1.74,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,687.368406,f 640-700,f 640-700,0.99846447,3.4 +4,5,7056,4,2,2,1,36,3.4,-0.25,66,Y,-0.15,F,7,P,95,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,7,7060,6,1,7,1,41,3.4,0.26,68,Y,0.32,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +9,9,7069,9,1,7,2,37,3.4,0.91,61,Y,0.91,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,8,7082,6,1,7,3,32,3.4,0.24,55,Y,0.71,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +1,3,7091,1,2,7,3,38,3.4,-1.74,69,Y,-0.8,F,1,F,96,1,3,-68,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +,,7097,,2,7,1,39,3.4,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,5,7106,4,2,7,5,44,3.4,-0.28,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +2,4,7122,2,2,7,4,40,3.4,-0.91,62,Y,-0.42,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,7127,,2,7,5,41,3.4,,59,Y,,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +2,1,7162,3,1,7,3,35,3.4,-0.79,53,Y,-1.35,P,7,P,95,2,3,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,6,7180,5,1,2,1,38,3.4,0.01,70,Y,0.04,P,7,P,94,1,4,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,8,7185,6,2,7,3,40,3.4,0.01,69,Y,0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,7,7194,8,2,7,3,39,3.4,0.55,67,Y,0.48,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,2,7196,1,2,7,3,40,3.4,-1.53,63,Y,-1.27,P,2,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,1,7203,1,1,7,3,32,3.4,-1.99,69,Y,-1.74,F,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,4,7208,5,1,7,1,37,3.4,-0.09,65,Y,-0.37,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,7212,9,1,7,1,46,3.4,0.96,64,Y,0.95,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +9,9,7217,9,2,7,1,43,3.4,1.29,69,Y,1.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +1,1,7225,1,1,7,3,36,3.4,-1.42,68,Y,-1.43,F,7,F,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,7,7233,7,1,7,1,31,3.4,0.49,69,Y,0.53,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,2,7252,3,1,7,1,35,3.4,-0.55,68,Y,-1.09,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,1,7256,2,2,7,3,32,3.4,-1.11,68,Y,-1.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +7,6,7258,7,2,7,1,37,3.4,0.48,64,Y,0.21,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,9,7261,10,1,7,2,29,3.4,1.42,67,Y,1.04,P,6,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +9,10,7264,9,1,8,3,42,3.4,1.17,69,Y,1.43,P,7,P,94,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +10,9,7274,10,2,8,4,40.5,3.4,1.4,65,Y,1.17,P,7,P,94,1,3,-58,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,821.5789265,g 700+,i 820+,0.99846447,3.4 +7,7,7284,7,2,7,1,34.5,3.4,0.46,65,Y,0.3,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.8420885,g 700+,g 700-760,0.99846447,3.4 +3,2,7292,3,1,7,3,35,3.4,-0.6,67,Y,-1.2,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,6,7300,6,2,7,4,34,3.4,0.22,60,Y,0.22,P,7,P,95,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,5,7308,5,2,7,3,36,3.4,-0.17,67,Y,-0.12,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,8,7309,7,2,7,1,40,3.4,0.48,65,Y,0.8,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,1,7319,1,2,6,1,28,3.4,-2.23,66,Y,-1.36,F,7,P,96,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,624.210514,e 580-640,e 580-640,0.99846447,3.4 +10,10,7323,10,2,7,4,45,3.4,1.41,68,Y,1.63,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +7,8,7327,7,2,7,1,42,3.4,0.46,65,Y,0.84,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +6,6,7331,6,1,7,4,40,3.4,0.17,68,Y,0.23,P,2,P,96,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,8,7333,9,1,7,4,40,3.4,0.91,69,Y,0.65,P,7,P,95,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,9,7378,9,2,7,3,37,3.4,0.95,60,Y,1.27,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,10,7380,10,2,7,3,36,3.4,1.34,61,Y,1.49,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,3,7385,4,2,7,3,40,3.4,-0.32,69,Y,-0.85,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,7390,5,1,7,5,45,3.4,-0.03,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +,,7391,7,2,7,3,35,3.4,0.43,68,Y,,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +,,7406,4,1,6,5,39,3.4,-0.26,68,Y,,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,8,7410,8,1,7,3,44,3.4,0.54,69,Y,0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,876.842082,g 700+,i 820+,0.99846447,3.4 +1,2,7413,1,2,3,1,23.5,3.4,-1.28,68,Y,-1.25,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,553.1578855,d 520-580,d 520-580,0.99846447,3.4 +4,4,7432,4,2,7,1,36,3.4,-0.36,69,Y,-0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,7,7445,8,1,7,4,32.5,3.4,0.86,66,Y,0.34,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +4,6,7466,5,2,7,3,33,3.4,-0.19,69,Y,0.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +1,1,7470,1,1,3,1,27,3.4,-1.39,69,Y,-1.64,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,608.421041,e 580-640,e 580-640,0.99846447,3.4 +8,8,7487,9,1,7,3,37,3.4,0.84,66,Y,0.68,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,9,7488,8,2,7,3,42,3.4,0.69,68,Y,1.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +5,5,7511,5,1,2,4,41,3.4,-0.07,68,Y,-0.1,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +1,1,7512,1,1,7,1,32,3.4,-1.33,55,Y,-1.5,F,7,P,96,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,7526,10,2,7,4,43,3.4,2.88,61,Y,1.69,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +7,8,7530,7,1,7,1,39,3.4,0.47,66,Y,0.84,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,5,7536,7,1,7,3,36,3.4,0.46,69,Y,-0.13,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,8,7541,8,2,7,3,34,3.4,0.6,58,Y,0.63,P,2,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,8,7586,8,2,7,3,37,3.4,0.67,69,Y,0.55,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,8,7590,9,1,7,4,40,3.4,1.12,69,Y,0.59,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,10,7635,9,2,7,4,37,3.4,1.15,67,Y,1.95,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,7,7655,6,2,7,3,37,3.4,0.16,69,Y,0.37,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,8,7659,8,2,7,3,33,3.4,0.55,63,Y,0.67,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,5,7660,4,1,7,4,40,3.4,-0.26,68,Y,-0.16,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,9,7681,8,2,7,2,30,3.4,0.58,64,Y,0.98,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.78946,f 640-700,f 640-700,0.99846447,3.4 +2,2,7692,2,1,7,4,34,3.4,-1.09,69,Y,-1.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,1,7710,2,1,2,1,35,3.4,-1.09,68,Y,-1.46,F,7,P,95,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,1,7711,1,1,5,1,26,3.4,-1.51,69,Y,-1.79,F,7,F,95,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,592.631568,e 580-640,e 580-640,0.99846447,3.4 +7,8,7713,7,2,7,4,39,3.4,0.4,68,Y,0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,5,7717,6,2,7,1,39,3.4,0.29,61,Y,-0.1,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,7723,,2,7,1,40,3.4,,70,Y,,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,8,7735,6,2,7,3,32,3.4,0.2,65,Y,0.78,F,7,P,96,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +8,10,7764,8,2,7,1,37.5,3.4,0.69,61,Y,1.39,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.2105075,g 700+,h 760-820,0.99846447,3.4 +4,4,7767,4,2,7,1,45,3.4,-0.3,67,Y,-0.4,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +10,10,7772,10,1,7,4,39,3.4,1.54,67,Y,1.53,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,9,7782,10,2,7,3,45,3.4,1.45,68,Y,1.25,P,6,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,892.631555,g 700+,i 820+,0.99846447,3.4 +4,2,7787,4,2,7,4,44,3.4,-0.26,67,Y,-0.88,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +10,10,7814,10,1,7,4,39,3.4,1.62,69,Y,1.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,8,7822,9,1,7,1,36,3.4,1.1,69,Y,0.82,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,8,7829,7,2,7,1,40,3.4,0.55,69,Y,0.73,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,4,7830,3,1,7,5,36,3.4,-0.64,69,Y,-0.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,7842,,2,7,2,37,3.4,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,5,7848,6,1,2,3,40,3.4,0.13,69,Y,-0.04,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,8,7860,8,2,7,3,36,3.4,0.71,69,Y,0.66,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,3,7914,3,1,7,6,35,3.4,-0.79,66,Y,-0.85,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,6,7922,5,1,7,1,41,3.4,-0.1,61,Y,0.24,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +3,4,7926,3,1,7,1,41,3.4,-0.54,63,Y,-0.52,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +5,5,7944,5,1,7,3,38,3.4,-0.03,67,Y,-0.09,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,6,7947,7,1,7,3,36,3.4,0.36,69,Y,0.21,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,4,7949,6,2,7,2,34,3.4,0.09,68,Y,-0.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,4,7957,5,1,7,4,43,3.4,-0.16,66,Y,-0.4,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +7,9,7963,8,2,7,4,37,3.4,0.56,69,Y,0.95,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,2,7964,3,1,7,3,37,3.4,-0.84,69,Y,-0.92,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,2,7978,4,2,7,1,39,3.4,-0.39,55,Y,-1.03,F,7,P,95,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,5,8023,3,2,7,4,43,3.4,-0.7,67,Y,-0.11,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +5,4,8038,5,2,7,3,33,3.4,-0.07,69,Y,-0.53,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,10,8045,8,2,7,1,35,3.4,0.83,69,Y,1.59,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,8062,8,2,7,2,37,3.4,0.64,69,Y,0.54,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,4,8076,3,1,7,1,42,3.4,-0.79,68,Y,-0.44,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,9,8087,9,2,6,1,38,3.4,1.02,67,Y,0.97,P,7,P,94,1,5,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,2,8141,6,2,2,3,27,3.4,0.12,55,Y,-1.22,F,7,F,94,1,3,-48,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,608.421041,e 580-640,e 580-640,0.99846447,3.4 +4,3,8169,4,2,7,1,44,3.4,-0.41,68,Y,-0.7,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +8,10,8174,8,1,7,5,42,3.4,0.96,65,Y,1.38,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,8192,10,1,7,3,33,3.4,1.68,57,Y,1.63,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +,,8199,4,1,7,4,35,3.4,-0.47,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,7,8205,6,1,7,1,41,3.4,0.24,51,Y,0.4,P,2,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +5,5,8212,5,1,7,4,38,3.4,-0.03,69,Y,-0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,2,8249,5,1,7,1,38,3.4,-0.17,65,Y,-1.06,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,10,8285,9,2,7,4,41,3.4,1.2,65,Y,1.39,F,7,P,96,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +4,4,8302,4,2,7,3,36,3.4,-0.26,69,Y,-0.42,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,2,8316,1,1,7,3,29.5,3.4,-1.87,69,Y,-1.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +4,6,8324,4,1,7,3,34,3.4,-0.27,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,8379,9,1,7,5,48,3.4,1.44,70,Y,1.11,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +5,7,8407,5,2,7,3,37,3.4,-0.08,67,Y,0.35,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,6,8411,4,1,2,4,31.5,3.4,-0.45,69,Y,0.21,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +10,10,8474,10,1,7,3,40,3.4,1.56,67,Y,1.95,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,5,8477,5,2,7,1,44,3.4,-0.02,69,Y,-0.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +3,5,8497,4,1,7,1,37,3.4,-0.47,55,Y,-0.09,P,7,P,95,2,3,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,2,8502,3,1,7,3,36,3.4,-0.84,67,Y,-1.16,P,2,P,95,2,2,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,6,8506,4,2,7,4,37,3.4,-0.26,68,Y,0.04,F,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,2,8510,2,2,7,2,28,3.4,-1.11,63,Y,-1.25,F,7,F,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,624.210514,e 580-640,e 580-640,0.99846447,3.4 +8,6,8522,8,2,2,3,34,3.4,0.66,68,Y,0.23,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,8535,9,1,7,3,31,3.4,1.02,68,Y,0.94,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +5,6,8545,5,2,7,3,33,3.4,-0.03,69,Y,0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,6,8550,7,1,7,1,43,3.4,0.44,69,Y,0.15,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +,,8558,9,2,7,5,44,3.4,1.06,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +7,7,8560,7,1,7,3,30.5,3.4,0.39,69,Y,0.52,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +1,2,8567,2,2,7,1,47,3.4,-1.16,67,Y,-1.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,924.210501,g 700+,i 820+,0.99846447,3.4 +1,2,8579,1,1,7,1,33,3.4,-1.4,62,Y,-0.99,P,2,P,96,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,2,8583,4,1,4,4,26,3.4,-0.4,67,Y,-0.89,F,7,F,94,,,-60,female,,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,592.631568,e 580-640,e 580-640,0.99846447,3.4 +4,3,8596,4,1,6,4,38,3.4,-0.37,53,Y,-0.82,P,7,P,94,1,3,-46,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,6,8605,8,2,7,1,37,3.4,0.81,65,Y,0.26,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,5,8610,7,1,2,3,33,3.4,0.26,69,Y,-0.05,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,3,8611,4,2,7,3,33,3.4,-0.46,67,Y,-0.74,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +10,10,8655,10,2,7,5,46,3.4,1.96,65,Y,1.48,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +9,10,8662,9,1,7,5,45,3.4,1.37,67,Y,1.71,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +10,8,8671,10,2,7,3,39,3.4,1.77,68,Y,0.74,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,8674,10,2,7,1,37,3.4,2.27,65,Y,1.85,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,1,8706,1,2,7,3,38,3.4,-1.55,69,Y,-2.02,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,3,8711,5,2,7,3,35,3.4,-0.08,66,Y,-0.66,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,7,8714,6,1,7,1,42,3.4,0.14,69,Y,0.37,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +2,2,8732,2,2,2,3,31,3.4,-0.86,67,Y,-1.09,F,7,P,95,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +8,9,8739,8,2,7,4,46,3.4,0.63,63,Y,0.91,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +8,6,8781,8,1,7,5,45,3.4,0.66,68,Y,0.26,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +4,4,8787,4,1,7,4,35,3.4,-0.38,63,Y,-0.42,P,7,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,3,8797,6,1,7,1,26,3.4,0.08,65,Y,-0.63,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,592.631568,e 580-640,e 580-640,0.99846447,3.4 +9,9,8801,9,1,7,3,39.5,3.4,1.13,64,Y,1.15,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.7894535,g 700+,h 760-820,0.99846447,3.4 +1,1,8814,1,1,7,4,34,3.4,-1.36,66,Y,-1.52,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,8,8901,10,2,7,4,47,3.4,2.46,67,Y,0.74,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,924.210501,g 700+,i 820+,0.99846447,3.4 +8,7,8906,8,2,7,2,27.5,3.4,0.79,69,Y,0.32,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,616.3157775,e 580-640,e 580-640,0.99846447,3.4 +10,8,8907,10,2,7,4,39,3.4,1.29,66,Y,0.82,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,2,8911,4,1,7,3,41,3.4,-0.46,68,Y,-0.95,P,2,P,96,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +3,5,8927,3,1,7,3,45,3.4,-0.62,70,Y,-0.28,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,892.631555,g 700+,i 820+,0.99846447,3.4 +10,9,8963,10,2,7,5,38,3.4,1.71,68,Y,1.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,782.105244,g 700+,h 760-820,0.99846447,3.4 +,,8995,2,1,3,5,39,3.4,-0.86,69,Y,,P,7,P,94,1,5,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,9006,2,2,7,3,36,3.4,-0.85,62,Y,,F,7,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,3,9020,3,1,7,1,37,3.4,-0.6,69,Y,-0.56,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,3,9049,8,1,6,4,44,3.4,0.66,69,Y,-0.63,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +,,9061,6,1,2,5,45,3.4,0.26,70,Y,,P,7,P,94,1,4,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +7,7,9069,7,1,7,1,42,3.4,0.48,69,Y,0.55,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +5,6,9070,5,2,2,1,41,3.4,0.01,66,Y,0.17,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +,,9071,2,2,7,1,44,3.4,-1.01,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +2,5,9086,2,2,7,3,37,3.4,-1.04,68,Y,-0.08,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,5,9089,6,1,7,1,36,3.4,0.08,67,Y,-0.2,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,8,9091,7,1,6,1,36,3.4,0.51,70,Y,0.77,P,2,P,94,1,4,-68,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,7,9131,5,1,7,1,37,3.4,-0.06,60,Y,0.37,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,9132,9,1,7,1,37,3.4,1.14,64,Y,1.26,P,7,P,94,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,10,9143,10,2,7,4,42,3.4,1.37,68,Y,1.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +1,2,9145,2,1,7,1,39,3.4,-1.28,69,Y,-1.18,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,8,9154,9,2,7,3,36,3.4,0.97,68,Y,0.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,9177,,1,7,5,39,3.4,,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,5,9194,3,1,7,3,32,3.4,-0.71,44,Y,-0.21,P,2,P,95,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,3,9195,3,1,7,5,39,3.4,-0.7,69,Y,-0.71,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,1,9204,2,2,7,3,35,3.4,-1.17,66,Y,-1.48,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,8,9220,7,2,7,1,35,3.4,0.53,66,Y,0.59,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,8,9221,10,2,7,3,36.5,3.4,1.49,69,Y,0.77,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.4210345,g 700+,g 700-760,0.99846447,3.4 +7,7,9227,7,2,7,4,48,3.4,0.4,65,Y,0.53,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +1,2,9230,1,1,3,6,32,3.4,-1.68,51,Y,-1.23,F,2,F,95,1,2,-49,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,687.368406,f 640-700,f 640-700,0.99846447,3.4 +1,2,9245,1,2,7,3,38,3.4,-1.51,69,Y,-0.92,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +1,1,9269,1,2,1,3,25,3.4,-1.77,69,Y,-1.63,F,7,F,94,1,3,-62,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,3,576.842095,d 520-580,d 520-580,0.99846447,3.4 +1,2,9271,1,2,7,1,37,3.4,-1.42,69,Y,-1.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,6,9285,4,2,7,4,33,3.4,-0.38,70,Y,0.23,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +5,5,9292,5,2,7,1,37,3.4,-0.01,68,Y,-0.04,P,7,P,94,,3,-61,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,9,9314,7,1,8,1,41,3.4,0.5,69,Y,1.19,P,7,P,95,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +9,9,9326,9,1,7,3,42,3.4,0.99,68,Y,1.12,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +8,9,9327,8,2,7,3,39,3.4,0.58,69,Y,0.89,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,6,9333,7,2,7,4,37.5,3.4,0.35,63,Y,0.11,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.2105075,g 700+,h 760-820,0.99846447,3.4 +8,8,9334,8,1,7,3,30,3.4,0.73,64,Y,0.67,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +10,10,9355,10,1,7,2,33,3.4,2.37,69,Y,2.21,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,9,9373,8,1,7,4,40,3.4,0.85,67,Y,1.2,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,7,9381,7,2,7,1,33,3.4,0.52,53,Y,0.44,P,7,P,95,2,4,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +6,8,9385,6,1,7,1,40,3.4,0.14,58,Y,0.56,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,4,9386,2,1,2,1,37,3.4,-1.03,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,7,9387,8,2,7,4,48,3.4,0.6,65,Y,0.39,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +10,10,9392,10,2,7,1,39,3.4,1.46,68,Y,1.49,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,9,9424,8,2,7,2,33,3.4,0.76,58,Y,1.02,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +2,3,9431,2,2,7,3,30,3.4,-1.07,68,Y,-0.56,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +6,4,9433,6,2,7,1,39,3.4,0.13,62,Y,-0.39,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,10,9455,9,1,7,1,43,3.4,1.11,69,Y,1.53,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +3,5,9465,3,2,7,4,34.5,3.4,-0.69,69,Y,-0.23,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.8420885,g 700+,g 700-760,0.99846447,3.4 +3,2,9473,3,2,7,4,41,3.4,-0.56,64,Y,-0.98,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +4,2,9486,4,2,7,4,34,3.4,-0.44,67,Y,-0.91,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,9494,10,1,7,3,30.3,3.4,2.09,66,Y,1.82,P,2,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.5263019,f 640-700,f 640-700,0.99846447,3.4 +2,2,9511,2,2,7,4,43,3.4,-0.94,68,Y,-0.95,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +8,10,9515,8,1,7,3,46,3.4,0.79,68,Y,1.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,908.421028,g 700+,i 820+,0.99846447,3.4 +2,2,9590,3,1,7,3,34,3.4,-0.78,69,Y,-0.93,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,9604,7,1,7,5,46,3.4,0.57,68,Y,,P,2,P,95,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +8,7,9614,8,2,7,4,40,3.4,0.67,69,Y,0.4,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,9621,10,1,7,4,44,3.4,2.21,67,Y,2.16,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +,,9623,,1,7,5,26,3.4,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,592.631568,e 580-640,e 580-640,0.99846447,3.4 +,,9628,,1,7,1,39,3.4,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,9,9644,9,2,4,1,31,3.4,1.17,69,Y,1.15,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.578933,f 640-700,f 640-700,0.99846447,3.4 +6,4,9654,6,1,7,4,37,3.4,0.12,65,Y,-0.47,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,5,9664,5,2,7,3,34,3.4,-0.02,69,Y,-0.27,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,9,9668,10,2,7,1,44,3.4,1.65,69,Y,1.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +8,10,9675,8,2,7,3,33,3.4,0.75,61,Y,1.38,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,8,9683,8,2,6,6,34,3.4,0.63,69,Y,0.71,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,9684,,2,2,3,32,3.4,,69,Y,,F,7,F,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +4,5,9686,4,2,7,5,42,3.4,-0.3,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +6,4,9689,7,2,7,3,40,3.4,0.27,69,Y,-0.53,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +4,2,9701,5,2,7,1,40,3.4,-0.22,66,Y,-1.08,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,8,9706,7,1,7,1,31.5,3.4,0.33,69,Y,0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +6,6,9726,6,1,7,1,41,3.4,0.21,69,Y,0.19,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,4,9741,6,1,7,3,37,3.4,0.12,70,Y,-0.4,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,5,9745,4,1,7,1,43,3.4,-0.35,69,Y,-0.03,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +,,9771,,1,7,1,42,3.4,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +8,8,9775,9,2,7,1,38,3.4,0.89,64,Y,0.58,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,5,9789,5,1,7,1,35.5,3.4,-0.21,69,Y,-0.25,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.6315615,g 700+,g 700-760,0.99846447,3.4 +5,4,9793,6,2,7,3,34,3.4,0.05,68,Y,-0.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +3,5,9794,3,2,7,4,42,3.4,-0.52,68,Y,-0.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +9,8,9813,9,2,7,1,39,3.4,1.09,68,Y,0.76,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,3,9815,4,1,7,5,45,3.4,-0.5,65,Y,-0.65,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +5,6,9820,6,2,7,3,39,3.4,0.01,69,Y,0.04,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,4,9821,4,2,7,4,32,3.4,-0.28,69,Y,-0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,9831,10,1,7,3,35,3.4,1.52,66,Y,1.67,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,5,9885,5,2,2,4,30,3.4,-0.02,69,Y,-0.13,P,7,P,94,1,1,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,655.78946,f 640-700,f 640-700,0.99846447,3.4 +4,3,9886,4,2,7,1,33,3.4,-0.31,69,Y,-0.54,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,4,9899,4,2,7,1,38,3.4,-0.3,67,Y,-0.47,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,9,9912,8,2,7,3,32,3.4,0.67,63,Y,0.92,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +4,3,9914,5,1,7,2,31,3.4,-0.21,69,Y,-0.71,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +10,9,9921,10,2,7,1,46,3.4,1.4,62,Y,1.16,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +4,2,9928,4,2,7,4,41,3.4,-0.3,67,Y,-1.08,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +3,6,9945,4,2,7,3,40,3.4,-0.43,68,Y,0.14,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,9963,6,2,7,5,40,3.4,0.17,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,1,9983,2,2,7,3,31,3.4,-1.06,67,Y,-1.41,F,7,P,96,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,4,9992,4,2,7,3,34,3.4,-0.43,69,Y,-0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,5,10001,5,1,7,1,39,3.4,0.02,68,Y,-0.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,6,10007,8,1,7,1,33,3.4,0.7,69,Y,0.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +,,10039,,1,7,5,42,3.4,,66,Y,,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +7,7,10060,7,1,7,4,43,3.4,0.3,63,Y,0.5,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +3,5,10064,3,2,7,4,38,3.4,-0.64,67,Y,-0.18,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,10071,5,2,7,3,42,3.4,-0.12,69,Y,-0.12,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +8,7,10075,8,1,7,3,31,3.4,0.57,68,Y,0.4,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,3,10096,4,1,7,3,30.5,3.4,-0.43,61,Y,-0.76,F,7,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +,,10104,,2,7,4,35,3.4,,62,Y,,P,7,P,95,2,2,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,5,10115,4,1,7,4,35,3.4,-0.32,68,Y,-0.17,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,10122,10,2,7,4,37,3.4,1.52,69,Y,1.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,7,10146,7,2,7,5,42,3.4,0.61,69,Y,0.31,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +8,8,10151,8,2,7,1,44,3.4,0.77,67,Y,0.66,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +7,7,10159,7,2,7,3,32.5,3.4,0.34,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +,,10166,,1,3,5,24,3.4,,69,Y,,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,561.052622,d 520-580,d 520-580,0.99846447,3.4 +7,6,10181,7,1,7,3,31.5,3.4,0.47,66,Y,0.07,P,2,P,95,2,2,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +7,6,10192,7,1,7,4,41,3.4,0.52,67,Y,0.18,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +2,2,10209,2,2,7,5,35,3.4,-0.91,67,Y,-0.86,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,10221,10,2,7,5,48,3.4,1.58,63,Y,1.76,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +5,5,10223,6,2,7,1,32,3.4,0.08,69,Y,0.01,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,2,10263,3,2,7,1,27,3.4,-0.62,64,Y,-1.25,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,608.421041,e 580-640,e 580-640,0.99846447,3.4 +1,1,10265,1,1,3,4,29,3.4,-1.81,69,Y,-1.61,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,639.999987,e 580-640,e 580-640,0.99846447,3.4 +8,9,10275,9,1,7,4,44,3.4,0.87,66,Y,0.96,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +6,5,10285,6,1,7,4,41,3.4,0.21,69,Y,-0.16,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +10,9,10305,10,2,7,3,34,3.4,1.34,69,Y,0.97,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,10,10313,9,2,7,4,43,3.4,1,67,Y,1.43,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +9,10,10314,9,1,7,1,36,3.4,1.26,61,Y,1.43,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,8,10316,8,1,7,3,41,3.4,0.71,69,Y,0.84,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +8,7,10331,8,2,7,5,47,3.4,0.93,68,Y,0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +7,6,10332,7,2,7,3,35,3.4,0.39,69,Y,0.13,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,10334,8,1,7,3,38,3.4,0.68,69,Y,0.58,P,6,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +,,10339,,2,7,1,37,3.4,,61,Y,0.33,P,2,P,96,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,8,10350,9,1,7,4,45,3.4,0.99,69,Y,0.69,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +3,3,10364,3,1,7,4,36.5,3.4,-0.54,66,Y,-0.62,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,758.4210345,g 700+,g 700-760,0.99846447,3.4 +1,1,10388,1,2,3,4,38,3.4,-2.64,68,Y,-2.52,P,2,P,95,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,6,10408,6,2,7,1,37,3.4,0.22,68,Y,0.26,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,3,10411,5,2,7,2,33,3.4,-0.29,68,Y,-0.81,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,8,10429,9,1,7,3,40,3.4,1.05,66,Y,0.7,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,6,10436,7,1,7,1,35.5,3.4,0.55,68,Y,0.14,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.6315615,g 700+,g 700-760,0.99846447,3.4 +7,7,10460,7,1,7,3,39,3.4,0.32,55,Y,0.37,F,7,F,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,8,10462,9,1,7,3,39,3.4,0.94,69,Y,0.84,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,9,10466,8,2,7,3,41,3.4,0.83,69,Y,1.18,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +7,8,10467,7,1,7,1,39,3.4,0.56,69,Y,0.56,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,10481,10,2,7,3,38,3.4,1.9,66,Y,2.21,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,5,10483,6,2,7,3,36,3.4,0.22,67,Y,-0.08,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,1,10486,2,1,7,5,43,3.4,-1,59,Y,-1.44,P,2,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +3,1,10509,3,2,2,4,35.5,3.4,-0.54,68,Y,-2.27,F,7,F,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,742.6315615,g 700+,g 700-760,0.99846447,3.4 +8,7,10512,8,2,7,1,48,3.4,0.69,63,Y,0.43,P,2,P,96,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,939.999974,g 700+,i 820+,0.99846447,3.4 +8,8,10548,8,2,7,1,46,3.4,0.7,67,Y,0.68,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +3,3,10558,3,1,7,1,39,3.4,-0.53,68,Y,-0.87,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,3,10573,4,1,7,5,38,3.4,-0.36,69,Y,-0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,8,10576,8,2,7,1,38,3.4,0.81,60,Y,0.57,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,3,10577,6,1,7,3,38,3.4,0.1,67,Y,-0.74,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +,,10595,5,2,7,1,44,3.4,-0.1,62,Y,,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +7,6,10637,7,1,7,3,31.5,3.4,0.44,69,Y,0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +7,7,10638,7,2,7,3,39,3.4,0.4,69,Y,0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,10648,,1,7,5,42,3.4,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +5,8,10662,5,1,7,4,36,3.4,-0.14,67,Y,0.58,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +10,10,10666,10,2,7,1,35,3.4,1.97,66,Y,1.4,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,7,10675,6,1,7,6,32,3.4,0.23,68,Y,0.41,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,3,10690,3,2,7,5,43,3.4,-0.61,69,Y,-0.68,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +2,2,10714,3,1,2,3,36.5,3.4,-0.74,70,Y,-1.11,F,7,F,94,1,3,-63,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,758.4210345,g 700+,g 700-760,0.99846447,3.4 +7,5,10731,8,1,7,2,32,3.4,0.53,65,Y,-0.13,F,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,687.368406,f 640-700,f 640-700,0.99846447,3.4 +,,10738,9,2,7,5,44,3.4,1.11,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +9,9,10745,9,2,7,5,44,3.4,1.09,67,Y,1.02,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +4,5,10756,4,2,7,1,40,3.4,-0.29,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,6,10759,10,2,7,5,32,3.4,1.64,69,Y,0.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,10781,10,2,7,3,40,3.4,1.36,67,Y,1.51,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +4,1,10801,4,1,7,5,36,3.4,-0.21,58,Y,-1.34,F,7,F,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,5,10810,3,2,7,2,34,3.4,-0.59,69,Y,-0.28,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,1,10831,2,1,7,3,34,3.4,-0.86,69,Y,-1.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,8,10835,9,2,7,5,46,3.4,0.97,68,Y,0.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +2,2,10848,3,2,7,3,40,3.4,-0.73,69,Y,-0.9,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,7,10871,5,2,4,2,22,3.4,-0.03,70,Y,0.4,P,7,P,94,1,2,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,529.473676,d 520-580,d 520-580,0.99846447,3.4 +4,3,10914,4,2,7,5,48,3.4,-0.4,69,Y,-0.54,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +7,6,10917,7,1,7,4,37,3.4,0.43,68,Y,0.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,4,10919,4,2,7,1,31,3.4,-0.36,65,Y,-0.47,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.578933,f 640-700,f 640-700,0.99846447,3.4 +6,8,10920,6,2,7,1,42,3.4,0.28,68,Y,0.65,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,8,10933,9,1,7,4,33.5,3.4,0.94,68,Y,0.83,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,711.0526155,g 700+,g 700-760,0.99846447,3.4 +2,2,10960,2,2,7,4,44,3.4,-1.06,66,Y,-0.91,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +5,4,10992,5,1,7,3,37,3.4,-0.16,69,Y,-0.38,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,4,11022,8,1,7,3,30,3.4,0.55,69,Y,-0.44,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +10,10,11024,10,2,7,3,36,3.4,1.66,67,Y,1.81,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,6,11038,6,1,7,1,40,3.4,0.09,69,Y,0.04,P,6,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,11042,10,2,7,4,47,3.4,1.34,68,Y,1.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,924.210501,g 700+,i 820+,0.99846447,3.4 +7,9,11043,8,1,7,3,39,3.4,0.52,66,Y,1,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,5,11070,6,1,7,1,35,3.4,0.07,68,Y,-0.2,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +2,1,11082,3,2,7,4,40,3.4,-0.8,57,Y,-1.39,F,7,P,96,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,8,11107,7,1,7,2,28,3.4,0.49,56,Y,0.65,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,624.210514,e 580-640,e 580-640,0.99846447,3.4 +8,8,11110,8,2,7,4,43,3.4,0.81,69,Y,0.72,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +2,3,11113,2,2,7,1,36,3.4,-0.85,69,Y,-0.83,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,9,11125,8,2,7,4,42,3.4,0.77,69,Y,0.94,F,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +6,6,11129,6,1,7,4,37,3.4,0.23,69,Y,0.13,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,11144,9,1,7,1,38,3.4,1.25,68,Y,0.97,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,9,11149,9,1,7,4,36,3.4,1.07,63,Y,1.05,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,1,11150,1,2,7,5,47,3.4,-1.24,69,Y,-1.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +7,7,11194,7,2,7,1,44,3.4,0.4,69,Y,0.44,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +10,10,11211,10,2,7,5,48,3.4,1.46,68,Y,1.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +8,9,11212,8,2,7,1,36,3.4,0.77,69,Y,1.15,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,7,11221,6,1,6,4,35,3.4,0.12,70,Y,0.42,P,7,P,94,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +9,7,11226,9,2,7,4,40,3.4,1,66,Y,0.49,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,9,11229,9,1,7,3,37,3.4,1.21,67,Y,1.08,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,7,11234,8,1,7,3,29.5,3.4,0.53,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +6,6,11242,6,2,7,5,44,3.4,0.32,69,Y,0.06,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +3,3,11247,3,1,7,1,35,3.4,-0.58,69,Y,-0.88,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,9,11276,8,1,7,4,42,3.4,0.67,68,Y,1.27,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +8,9,11300,8,2,6,3,33.5,3.4,0.6,68,Y,0.99,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.0526155,g 700+,g 700-760,0.99846447,3.4 +10,10,11301,10,2,7,4,47,3.4,2.67,54,Y,2.72,P,7,P,95,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,924.210501,g 700+,i 820+,0.99846447,3.4 +7,8,11306,7,2,7,1,35,3.4,0.54,68,Y,0.6,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,11309,8,2,7,1,37,3.4,0.83,67,Y,0.65,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,7,11336,6,1,7,3,28,3.4,0.06,69,Y,0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +1,3,11353,1,1,7,3,36,3.4,-2.04,68,Y,-0.77,F,7,F,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,4,11383,2,2,7,1,45,3.4,-0.88,63,Y,-0.41,P,7,P,95,2,2,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +6,7,11412,6,2,7,2,35,3.4,0.05,67,Y,0.39,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,734.736825,g 700+,g 700-760,0.99846447,3.4 +,,11420,,1,7,1,41,3.4,,55,Y,,F,7,P,96,2,3,-48,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +8,6,11444,8,2,7,2,34,3.4,0.77,69,Y,0.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,2,11446,2,1,2,4,31,3.4,-1.06,68,Y,-1.21,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,671.578933,f 640-700,f 640-700,0.99846447,3.4 +,,11467,,1,7,1,37.5,3.4,,67,Y,,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.2105075,g 700+,h 760-820,0.99846447,3.4 +4,5,11477,4,1,7,2,29,3.4,-0.36,68,Y,-0.11,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +9,9,11478,9,1,7,3,35,3.4,0.99,69,Y,0.98,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,8,11481,7,1,7,2,32,3.4,0.46,66,Y,0.83,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,5,11499,5,1,7,1,40,3.4,-0.11,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,11539,10,2,7,3,38,3.4,1.72,64,Y,2.01,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,8,11556,8,1,7,3,25,3.4,0.78,55,Y,0.59,P,2,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,576.842095,d 520-580,d 520-580,0.99846447,3.4 +8,8,11567,8,1,7,4,43,3.4,0.83,60,Y,0.8,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +10,10,11568,10,2,3,2,35,3.4,2.05,61,Y,2.25,P,7,P,94,1,2,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,3,11593,4,1,6,4,29,3.4,-0.3,62,Y,-0.72,F,7,F,95,2,4,-55,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,639.999987,e 580-640,e 580-640,0.99846447,3.4 +4,4,11597,4,2,7,3,39,3.4,-0.32,69,Y,-0.38,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,7,11599,7,1,7,1,44,3.4,0.48,69,Y,0.55,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +1,1,11600,1,2,7,3,32,3.4,-1.33,69,Y,-1.54,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +9,7,11652,9,2,7,1,39,3.4,0.95,68,Y,0.46,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,8,11653,10,2,7,4,42,3.4,1.45,64,Y,0.67,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +10,9,11658,10,1,7,1,41,3.4,1.36,68,Y,1.02,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +7,7,11664,7,2,7,3,42,3.4,0.48,69,Y,0.47,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +8,4,11677,8,1,7,1,36,3.4,0.71,67,Y,-0.27,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,9,11710,8,1,7,3,37,3.4,0.63,69,Y,0.9,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,5,11718,4,2,7,1,37,3.4,-0.34,67,Y,-0.07,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,9,11726,10,2,7,3,36,3.4,1.59,69,Y,1.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,5,11737,7,2,7,3,29,3.4,0.39,69,Y,-0.03,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.999987,e 580-640,e 580-640,0.99846447,3.4 +,,11744,2,1,5,5,30,3.4,-1.2,69,Y,,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,655.78946,f 640-700,f 640-700,0.99846447,3.4 +4,6,11761,5,2,7,1,33,3.4,-0.2,62,Y,0.16,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,3,11768,3,1,7,3,39,3.4,-0.56,68,Y,-0.7,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,4,11788,4,1,7,1,38,3.4,-0.47,69,Y,-0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,10,11797,7,1,7,3,29,3.4,0.48,49,Y,1.42,P,2,P,95,2,3,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.999987,e 580-640,e 580-640,0.99846447,3.4 +8,5,11802,9,2,7,1,39,3.4,0.89,70,Y,-0.11,P,7,P,95,1,,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,6,11805,3,1,3,4,37,3.4,-0.52,66,Y,0.04,P,2,P,96,1,4,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,4,11815,5,2,7,1,35.5,3.4,-0.15,66,Y,-0.27,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.6315615,g 700+,g 700-760,0.99846447,3.4 +6,6,11823,6,2,7,2,31,3.4,0.19,68,Y,0.03,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +5,4,11827,5,2,7,1,42,3.4,-0.12,63,Y,-0.36,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +1,2,11875,2,2,7,3,29,3.4,-1.19,69,Y,-1.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.999987,e 580-640,e 580-640,0.99846447,3.4 +5,7,11907,6,2,7,1,37,3.4,0.06,66,Y,0.53,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,7,11924,7,1,2,5,42,3.4,0.52,69,Y,0.52,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +9,9,11931,9,1,7,1,37,3.4,1.22,47,Y,1.22,P,2,P,95,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,7,11945,8,2,7,5,47,3.4,0.87,69,Y,0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +4,6,11956,4,2,7,1,37,3.4,-0.24,69,Y,0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,11972,9,1,7,4,41,3.4,1.04,56,Y,0.98,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +7,9,12028,8,2,7,1,35,3.4,0.59,68,Y,0.95,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,2,12045,4,2,4,3,28,3.4,-0.29,68,Y,-0.95,P,7,P,94,1,1,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +6,7,12046,6,1,7,1,36.5,3.4,0.23,65,Y,0.46,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.4210345,g 700+,g 700-760,0.99846447,3.4 +4,5,12054,4,2,7,3,35,3.4,-0.28,68,Y,-0.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,5,12060,5,1,7,1,43,3.4,-0.04,68,Y,-0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +6,7,12093,7,2,7,1,37,3.4,0.33,68,Y,0.32,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,4,12103,4,1,7,1,30,3.4,-0.27,69,Y,-0.48,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.78946,f 640-700,f 640-700,0.99846447,3.4 +6,7,12114,6,1,2,4,36,3.4,0.12,69,Y,0.42,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +10,10,12138,10,1,7,4,43,3.4,2.11,68,Y,1.8,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +6,4,12151,6,2,7,4,39,3.4,0.16,68,Y,-0.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,4,12159,4,2,7,1,44,3.4,-0.4,62,Y,-0.46,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +2,2,12182,2,1,3,5,37,3.4,-0.94,65,Y,-1.09,F,7,P,95,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,2,12195,3,1,2,4,34,3.4,-0.54,70,Y,-1.17,F,7,P,95,1,3,-63,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,12206,10,2,7,3,36,3.4,1.66,60,Y,1.41,P,2,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,8,12209,9,2,7,3,36,3.4,1.16,69,Y,0.74,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,3,12219,3,1,5,4,25.5,3.4,-0.75,68,Y,-0.53,P,7,P,95,2,3,-61,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,584.7368315,e 580-640,e 580-640,0.99846447,3.4 +3,4,12223,4,1,7,4,32,3.4,-0.49,64,Y,-0.45,P,7,P,94,1,1,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,5,12225,5,2,7,1,33,3.4,-0.03,68,Y,-0.14,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +2,3,12226,3,1,7,1,34,3.4,-0.74,69,Y,-0.54,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +6,8,12229,6,2,7,5,46,3.4,0.3,69,Y,0.66,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +4,6,12242,4,2,7,3,38,3.4,-0.25,64,Y,0.23,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,5,12243,6,1,7,1,38,3.4,0.23,58,Y,-0.04,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,8,12272,5,2,7,3,33,3.4,-0.07,66,Y,0.68,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,6,12288,7,2,2,5,43,3.4,0.54,68,Y,0.22,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +,,12314,,2,7,5,42,3.4,,68,Y,,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +9,10,12328,9,2,7,4,45,3.4,0.96,67,Y,1.41,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +2,3,12397,2,1,7,5,43,3.4,-1.03,69,Y,-0.69,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +2,2,12399,3,1,6,3,31,3.4,-0.7,69,Y,-1.14,F,7,P,95,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,4,12402,3,1,7,3,33.5,3.4,-0.54,69,Y,-0.53,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.0526155,g 700+,g 700-760,0.99846447,3.4 +9,10,12403,9,2,7,1,44,3.4,1.16,69,Y,1.47,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +1,1,12404,1,1,3,1,25.5,3.4,-1.56,69,Y,-1.41,P,,P,,1,2,,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,584.7368315,e 580-640,e 580-640,0.99846447,3.4 +5,7,12436,5,2,7,4,43,3.4,-0.06,67,Y,0.44,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +3,2,12455,3,2,7,1,34,3.4,-0.71,68,Y,-1.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,12457,,2,7,3,30,3.4,,70,Y,,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +,,12470,,1,4,5,44,3.4,,69,Y,0,P,7,P,95,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +9,8,12481,9,2,7,1,41.5,3.4,0.99,64,Y,0.87,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.3683995,g 700+,i 820+,0.99846447,3.4 +8,7,12531,8,2,7,1,37,3.4,0.85,69,Y,0.32,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,4,12557,4,2,7,1,34,3.4,-0.47,65,Y,-0.32,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,5,12604,5,2,7,1,35,3.4,-0.14,61,Y,-0.22,P,2,P,95,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,12607,10,1,7,4,34,3.4,2.11,65,Y,2.33,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,7,12618,8,2,7,3,33.5,3.4,0.69,68,Y,0.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.0526155,g 700+,g 700-760,0.99846447,3.4 +3,2,12619,3,2,7,1,44,3.4,-0.51,61,Y,-1.27,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +6,7,12622,6,2,7,3,34.5,3.4,0.09,68,Y,0.33,P,6,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.8420885,g 700+,g 700-760,0.99846447,3.4 +4,4,12630,4,2,7,3,31,3.4,-0.37,68,Y,-0.54,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +1,3,12641,2,1,7,3,31,3.4,-1.27,61,Y,-0.88,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +10,10,12650,10,2,7,3,40,3.4,1.85,69,Y,1.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,4,12657,5,2,7,1,37,3.4,-0.02,69,Y,-0.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,8,12660,4,2,4,4,39,3.4,-0.43,67,Y,0.58,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,5,12664,5,2,7,3,36,3.4,-0.07,64,Y,-0.15,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,1,12671,2,1,7,4,32.7,3.4,-1,66,Y,-1.45,F,7,F,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,698.4210371,f 640-700,f 640-700,0.99846447,3.4 +10,10,12693,10,1,7,1,40,3.4,1.32,66,Y,1.88,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,8,12696,9,2,7,1,43,3.4,0.94,66,Y,0.71,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +10,9,12704,10,1,7,4,40,3.4,1.34,68,Y,0.9,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,3,12707,1,1,7,3,39,3.4,-1.5,68,Y,-0.66,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,9,12719,9,1,7,1,35,3.4,0.98,50,Y,1.21,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,5,12743,3,2,7,4,41,3.4,-0.68,62,Y,-0.2,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +3,1,12745,3,1,7,1,44,3.4,-0.65,70,Y,-1.52,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +6,6,12773,7,1,7,3,41,3.4,0.26,68,Y,0.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +6,9,12788,6,1,7,2,33,3.4,0.16,69,Y,0.93,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +2,2,12798,2,1,7,3,38,3.4,-1,67,Y,-1.02,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,9,12805,7,1,7,3,34,3.4,0.41,69,Y,1.24,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +1,3,12832,2,1,7,1,37,3.4,-1.18,68,Y,-0.79,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,5,12837,4,1,7,3,34,3.4,-0.44,68,Y,-0.12,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,9,12845,8,2,7,3,35,3.4,0.72,68,Y,1.04,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,9,12860,8,2,7,1,40,3.4,0.71,64,Y,0.96,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,3,12870,2,2,7,4,41,3.4,-1.21,65,Y,-0.75,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +6,4,12873,7,2,7,3,35,3.4,0.26,69,Y,-0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,12884,8,2,7,1,42,3.4,0.7,66,Y,0.56,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,10,12895,10,2,7,3,39,3.4,1.27,69,Y,1.51,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,5,12898,6,2,7,3,28.5,3.4,0.1,69,Y,-0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +,,12919,,2,7,5,38,3.4,,51,Y,,F,7,P,95,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,782.105244,g 700+,h 760-820,0.99846447,3.4 +1,1,12920,1,2,3,3,24,3.4,-1.49,67,Y,-1.92,F,7,F,94,1,1,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,561.052622,d 520-580,d 520-580,0.99846447,3.4 +8,10,12930,8,1,7,5,45,3.4,0.81,67,Y,1.5,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +6,6,12960,6,1,7,1,40,3.4,0.18,69,Y,0.07,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,4,12962,3,2,7,4,33,3.4,-0.8,63,Y,-0.32,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,2,12973,3,1,7,4,35,3.4,-0.74,69,Y,-0.9,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,12976,8,2,2,4,31,3.4,0.61,66,Y,0.64,P,7,P,95,2,3,-59,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,671.578933,f 640-700,f 640-700,0.99846447,3.4 +8,8,13007,9,1,7,3,33,3.4,0.86,69,Y,0.65,F,6,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,3,13014,3,2,3,4,29,3.4,-0.64,68,Y,-0.68,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,639.999987,e 580-640,e 580-640,0.99846447,3.4 +3,1,13016,3,1,7,4,28,3.4,-0.54,59,Y,-1.5,F,7,F,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,624.210514,e 580-640,e 580-640,0.99846447,3.4 +4,5,13029,4,1,7,3,41,3.4,-0.38,66,Y,-0.19,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +9,10,13030,9,1,7,2,39,3.4,0.85,61,Y,1.77,P,7,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,3,13045,2,1,7,2,29,3.4,-1.13,68,Y,-0.67,F,7,P,95,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +7,9,13050,7,1,7,3,31.5,3.4,0.34,69,Y,0.89,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +8,10,13051,8,2,7,5,44,3.4,0.93,68,Y,1.24,P,2,P,96,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +8,8,13057,8,1,7,3,40,3.4,0.73,63,Y,0.72,P,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,1,13071,1,1,2,4,35,3.4,-1.83,69,Y,-1.99,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,2,13074,4,2,7,1,45,3.4,-0.31,63,Y,-1.28,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +1,1,13148,1,2,7,4,45,3.4,-2.96,59,Y,-2,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +3,2,13153,3,2,7,1,27,3.4,-0.73,69,Y,-1.1,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,608.421041,e 580-640,e 580-640,0.99846447,3.4 +3,1,13163,3,1,7,1,34,3.4,-0.72,69,Y,-1.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,4,13173,2,1,7,3,34,3.4,-0.88,68,Y,-0.37,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,2,13190,3,2,7,3,26,3.4,-0.81,62,Y,-1.13,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,592.631568,e 580-640,e 580-640,0.99846447,3.4 +8,6,13201,8,2,7,4,40,3.4,0.73,57,Y,0.07,P,7,P,95,2,2,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,2,13220,2,2,7,1,35.5,3.4,-1.13,69,Y,-1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.6315615,g 700+,g 700-760,0.99846447,3.4 +9,8,13228,9,1,7,3,32.5,3.4,1.02,68,Y,0.77,P,2,P,94,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +4,6,13233,4,2,7,5,39,3.4,-0.24,69,Y,0.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,5,13258,3,1,7,1,42,3.4,-0.76,68,Y,-0.16,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,10,13268,10,1,7,4,44,3.4,1.28,65,Y,1.45,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +,,13271,,1,8,5,31,3.4,,69,Y,,P,7,P,95,1,2,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,671.578933,f 640-700,f 640-700,0.99846447,3.4 +9,9,13276,9,2,7,1,37,3.4,1.03,69,Y,0.89,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,1,13307,1,1,3,4,35,3.4,-2.2,64,Y,-1.67,F,7,F,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,13321,10,2,7,4,43,3.4,1.77,68,Y,1.83,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +10,10,13336,10,1,7,3,38,3.4,1.97,69,Y,2.19,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +1,3,13342,1,2,7,1,38,3.4,-1.39,52,Y,-0.79,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,9,13345,7,1,7,1,43,3.4,0.38,65,Y,0.96,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +4,4,13355,4,1,3,1,24,3.4,-0.37,69,Y,-0.28,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,561.052622,d 520-580,d 520-580,0.99846447,3.4 +1,1,13397,1,1,7,3,29.5,3.4,-1.44,68,Y,-1.77,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +1,5,13419,2,1,7,3,32,3.4,-1.21,68,Y,-0.16,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +1,1,13421,1,1,3,4,30,3.4,-2.6,69,Y,-2.26,F,2,F,94,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,655.78946,f 640-700,f 640-700,0.99846447,3.4 +6,6,13424,7,1,7,1,39,3.4,0.31,68,Y,0.12,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,8,13436,9,2,7,1,42,3.4,1.08,69,Y,0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,8,13439,9,2,7,4,48,3.4,0.88,69,Y,0.61,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +2,4,13465,2,1,7,3,34,3.4,-0.86,69,Y,-0.35,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,13470,,1,7,,37,3.4,0.12,68,Y,0.9,P,2,P,95,2,2,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,1,13489,3,1,7,3,41,3.4,-0.74,68,Y,-1.75,F,7,F,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +3,3,13505,4,1,7,1,35,3.4,-0.49,69,Y,-0.56,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,2,13529,2,2,7,4,37,3.4,-1.2,70,Y,-0.86,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,5,13557,7,1,7,4,42,3.4,0.42,69,Y,-0.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +6,7,13571,6,2,7,4,40,3.4,0.18,68,Y,0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,7,13580,6,2,7,1,33.5,3.4,0.24,69,Y,0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.0526155,g 700+,g 700-760,0.99846447,3.4 +3,5,13634,3,1,6,3,37,3.4,-0.58,69,Y,-0.08,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,4,13635,3,1,7,4,45,3.4,-0.57,68,Y,-0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +2,3,13642,2,2,7,4,42,3.4,-0.83,64,Y,-0.78,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +5,6,13649,5,1,7,3,34,3.4,-0.13,69,Y,0.07,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,13661,9,2,7,1,46,3.4,1.12,68,Y,1.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +8,9,13662,8,1,7,3,38,3.4,0.83,67,Y,1.06,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,1,13667,3,1,2,1,29,3.4,-0.63,69,Y,-1.38,F,7,P,95,1,1,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,639.999987,e 580-640,e 580-640,0.99846447,3.4 +3,3,13673,4,1,7,5,46,3.4,-0.49,69,Y,-0.65,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +7,6,13685,8,1,7,3,34,3.4,0.55,66,Y,0.1,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,13690,10,2,7,3,35,3.4,2.58,59,Y,2.9,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,7,13728,6,2,7,3,39,3.4,0.13,69,Y,0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,5,13759,5,2,7,4,35,3.4,-0.21,69,Y,-0.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,1,13761,1,2,7,3,38,3.4,-1.48,69,Y,-1.81,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,3,13772,3,2,2,4,39.5,3.4,-0.78,69,Y,-0.8,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,805.7894535,g 700+,h 760-820,0.99846447,3.4 +6,5,13783,6,1,7,3,38,3.4,0.19,68,Y,-0.21,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,13798,10,2,7,1,41,3.4,1.43,62,Y,1.55,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +8,6,13800,8,1,7,1,42,3.4,0.77,69,Y,0.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +,,13810,,1,7,4,42,3.4,,68,Y,,P,2,P,95,2,4,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +4,1,13818,5,2,7,1,33.5,3.4,-0.22,68,Y,-1.37,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.0526155,g 700+,g 700-760,0.99846447,3.4 +2,3,13828,3,2,7,3,38,3.4,-0.74,69,Y,-0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,13831,10,1,7,3,39,3.4,1.94,49,Y,2.07,P,7,P,95,2,4,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,7,13837,7,2,7,3,36,3.4,0.32,68,Y,0.32,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +10,10,13884,10,1,7,3,36,3.4,1.37,69,Y,1.63,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,13889,2,1,7,1,34,3.4,-0.93,69,Y,,F,7,F,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,13899,3,2,7,3,39,3.4,-0.61,69,Y,,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,9,13915,6,1,7,5,39,3.4,0.1,53,Y,1.1,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,10,13917,10,2,7,3,37,3.4,1.28,67,Y,1.65,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,5,13922,8,2,7,4,35,3.4,0.6,69,Y,-0.06,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,3,13927,4,2,7,3,37,3.4,-0.39,69,Y,-0.59,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,5,13930,4,1,7,3,38,3.4,-0.36,42,Y,-0.15,P,7,P,94,1,4,-35,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,8,13931,4,1,7,4,44,3.4,-0.38,67,Y,0.57,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +7,6,13948,8,2,7,1,39,3.4,0.61,68,Y,0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,6,13984,6,1,7,4,42,3.4,0.16,67,Y,0.15,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,14002,10,1,7,2,32,3.4,1.6,67,Y,1.9,P,7,P,94,1,1,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,14039,10,1,7,2,33,3.4,1.46,68,Y,1.49,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +,,14072,,1,7,1,30.5,3.4,,69,Y,0.88,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +10,10,14102,10,2,7,3,35,3.4,1.39,66,Y,1.75,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +9,9,14103,9,2,7,3,37,3.4,1.11,69,Y,1.08,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,8,14127,8,2,7,4,41,3.4,0.8,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +3,3,14147,3,2,7,4,40,3.4,-0.72,69,Y,-0.57,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +4,4,14176,4,1,7,1,37,3.4,-0.35,65,Y,-0.35,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,7,14188,6,2,7,6,34,3.4,0.05,62,Y,0.43,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,14204,,1,5,6,21,3.4,,67,Y,,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,513.684203,c 460-520,c 460-520,0.99846447,3.4 +4,3,14220,4,2,7,3,37,3.4,-0.39,69,Y,-0.74,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,7,14263,6,2,7,2,36,3.4,0.07,67,Y,0.36,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,8,14267,8,2,7,3,40,3.4,0.72,66,Y,0.63,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +4,5,14277,4,1,6,5,39,3.4,-0.37,68,Y,-0.07,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,5,14319,6,1,7,3,35,3.4,0.2,69,Y,-0.21,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,14329,10,1,7,1,45,3.4,1.68,59,Y,2.04,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +8,5,14343,8,2,7,4,35,3.4,0.57,68,Y,0.01,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,1,14402,5,2,6,3,35,3.4,-0.11,69,Y,-1.33,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,4,14427,3,1,7,1,41,3.4,-0.7,66,Y,-0.52,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,7,14433,7,1,7,4,48,3.4,0.27,69,Y,0.42,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +2,3,14444,2,2,1,1,26,3.4,-0.99,69,Y,-0.7,F,7,F,95,1,5,-62,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,592.631568,e 580-640,e 580-640,0.99846447,3.4 +10,10,14448,10,1,7,1,43,3.4,2.11,55,Y,1.96,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +6,6,14472,7,2,7,1,37,3.4,0.32,68,Y,0.01,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,7,14473,8,2,7,3,39,3.4,0.56,67,Y,0.53,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,1,14489,1,2,7,1,35,3.4,-1.31,69,Y,-1.38,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,7,14497,4,1,7,1,37,3.4,-0.51,56,Y,0.34,P,7,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,8,14501,6,1,7,3,41,3.4,0.17,64,Y,0.65,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +3,4,14502,3,1,7,4,36,3.4,-0.55,65,Y,-0.31,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,5,14512,4,1,7,1,39,3.4,-0.41,56,Y,-0.22,P,2,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,14542,,1,7,1,32,3.4,,63,Y,-0.38,P,7,P,95,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +4,4,14559,5,1,4,1,30,3.4,-0.17,65,Y,-0.38,P,7,P,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.78946,f 640-700,f 640-700,0.99846447,3.4 +8,9,14569,8,1,7,4,43,3.4,0.75,62,Y,0.89,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +4,3,14575,4,1,7,3,31,3.4,-0.28,53,Y,-0.82,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +7,10,14612,7,2,7,3,31,3.4,0.46,69,Y,1.43,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +9,7,14640,9,1,7,4,42,3.4,0.99,67,Y,0.39,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +9,8,14659,9,1,7,3,38,3.4,1.23,69,Y,0.62,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,7,14671,9,1,7,3,39,3.4,1.01,69,Y,0.52,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,14700,,2,7,4,40,3.4,,67,Y,,P,2,P,96,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,5,14718,4,2,7,1,44,3.4,-0.45,68,Y,-0.04,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +3,4,14722,3,1,7,1,38,3.4,-0.73,69,Y,-0.34,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,6,14725,6,1,7,4,36,3.4,0.11,70,Y,0.06,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +10,10,14751,10,1,7,5,46,3.4,2.69,65,Y,2.42,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +3,3,14772,3,2,7,5,41,3.4,-0.6,63,Y,-0.67,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +8,9,14782,8,1,7,1,35,3.4,0.77,69,Y,1.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,2,14833,1,1,7,3,30,3.4,-1.33,68,Y,-1.26,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +10,9,14846,10,2,7,2,34,3.4,1.3,58,Y,1.08,P,6,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +4,3,14874,4,2,7,1,43,3.4,-0.38,68,Y,-0.55,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +8,9,14885,8,1,7,3,39,3.4,0.69,69,Y,1.02,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,9,14892,9,1,7,2,33,3.4,0.91,68,Y,1.2,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +1,1,14905,2,2,7,3,38,3.4,-1.19,69,Y,-1.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,8,14907,6,1,7,1,31,3.4,0.12,67,Y,0.63,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,4,14928,4,2,7,1,44,3.4,-0.5,69,Y,-0.29,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +1,3,14952,1,1,7,5,44,3.4,-1.44,68,Y,-0.64,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +10,8,14958,10,1,3,6,29,3.4,1.38,69,Y,0.71,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,639.999987,e 580-640,e 580-640,0.99846447,3.4 +,,14968,,1,7,1,40,3.4,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,6,15002,6,2,7,3,31,3.4,0.05,67,Y,0.18,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +10,9,15017,10,2,2,3,40,3.4,1.33,69,Y,1.31,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,6,15028,7,1,7,1,34,3.4,0.51,61,Y,0.27,P,2,P,95,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,8,15043,5,2,7,3,28,3.4,-0.05,69,Y,0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +8,7,15073,8,2,7,3,39,3.4,0.75,68,Y,0.51,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,15083,,2,7,1,38,3.4,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,6,15105,8,2,7,3,43,3.4,0.54,67,Y,0.1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +1,5,15129,1,1,7,3,36,3.4,-1.41,66,Y,-0.26,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,8,15135,8,1,7,3,36,3.4,0.55,69,Y,0.78,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,4,15141,4,1,7,4,35,3.4,-0.45,64,Y,-0.47,P,2,P,96,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +,,15148,2,1,2,5,35,3.4,-0.86,69,Y,,P,7,P,94,1,1,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,8,15187,7,1,7,3,32.5,3.4,0.51,69,Y,0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +3,3,15192,3,1,7,5,41,3.4,-0.6,69,Y,-0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +3,4,15197,3,1,7,5,47,3.4,-0.75,64,Y,-0.49,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +6,7,15200,6,1,7,4,36,3.4,0.05,54,Y,0.33,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,7,15208,9,1,7,3,35,3.4,1.19,54,Y,0.54,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +,,15210,3,2,6,3,26,3.4,-0.77,67,Y,,F,7,F,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,592.631568,e 580-640,e 580-640,0.99846447,3.4 +4,4,15234,4,2,7,1,45,3.4,-0.29,69,Y,-0.47,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +8,10,15238,8,2,7,4,32,3.4,0.62,58,Y,1.67,P,7,P,95,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,15256,10,1,7,1,40,3.4,1.9,69,Y,1.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,9,15271,8,2,7,1,35,3.4,0.81,68,Y,1.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,15276,8,1,7,4,45,3.4,0.78,64,Y,0.75,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +8,9,15283,8,2,7,4,37,3.4,0.82,68,Y,1.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,2,15314,2,2,7,2,27,3.4,-1.23,68,Y,-1.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,608.421041,e 580-640,e 580-640,0.99846447,3.4 +7,8,15321,7,2,2,1,38,3.4,0.41,69,Y,0.6,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,3,15345,5,1,7,4,45,3.4,-0.18,68,Y,-0.75,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +9,9,15346,9,2,7,1,47,3.4,1.22,68,Y,0.94,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,924.210501,g 700+,i 820+,0.99846447,3.4 +5,5,15353,5,2,7,3,27,3.4,-0.1,70,Y,-0.25,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,608.421041,e 580-640,e 580-640,0.99846447,3.4 +,,15366,,1,2,5,36,3.4,,67,Y,,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,8,15368,9,1,7,4,33,3.4,0.87,68,Y,0.79,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +5,6,15384,5,2,7,3,32,3.4,-0.14,67,Y,-0.01,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +8,6,15390,8,2,7,2,37,3.4,0.58,69,Y,-0.03,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,4,15467,3,2,7,1,41,3.4,-0.67,57,Y,-0.3,P,2,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +8,8,15469,8,2,7,1,41,3.4,0.75,62,Y,0.83,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +5,7,15473,5,1,7,3,34.5,3.4,-0.14,49,Y,0.47,P,7,P,94,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.8420885,g 700+,g 700-760,0.99846447,3.4 +5,4,15481,6,1,7,4,44,3.4,0.01,63,Y,-0.25,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +5,6,15490,6,2,7,1,37,3.4,0.06,63,Y,0.06,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,9,15492,3,1,7,5,47,3.4,-0.6,69,Y,0.85,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +8,10,15495,8,2,7,1,38,3.4,0.7,67,Y,1.38,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,9,15515,8,1,7,1,34,3.4,0.66,59,Y,1.15,P,7,P,94,1,1,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,5,15548,5,1,7,2,32.5,3.4,-0.08,69,Y,-0.15,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +,,15553,,2,2,4,29,3.4,,67,Y,,F,6,F,95,,3,-61,male,,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,639.999987,e 580-640,e 580-640,0.99846447,3.4 +2,2,15571,2,2,2,5,41,3.4,-0.92,68,Y,-0.85,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +3,3,15574,3,2,7,4,38,3.4,-0.56,69,Y,-0.58,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,4,15622,4,2,7,1,35,3.4,-0.33,69,Y,-0.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,4,15667,3,1,6,1,35,3.4,-0.72,63,Y,-0.47,P,7,P,94,1,3,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,5,15690,5,2,7,3,34,3.4,-0.17,69,Y,-0.22,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,15726,10,2,7,1,41,3.4,1.9,68,Y,1.85,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +7,6,15744,7,1,7,4,37,3.4,0.35,66,Y,0.1,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,7,15758,8,2,7,1,36,3.4,0.71,67,Y,0.53,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,5,15760,5,1,7,1,40,3.4,-0.05,68,Y,-0.08,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,8,15761,9,1,7,3,30,3.4,0.89,59,Y,0.86,P,7,P,94,2,4,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +6,7,15767,6,2,7,3,32,3.4,0.1,69,Y,0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +6,8,15774,6,2,2,4,46,3.4,0.19,67,Y,0.85,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +10,10,15786,10,1,7,3,33,3.4,2.03,16,Y,2.09,P,7,P,94,1,3,-9,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +1,2,15802,2,2,7,3,34,3.4,-1.28,64,Y,-1.03,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,6,15810,5,2,7,4,36,3.4,-0.01,65,Y,0.04,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,6,15818,5,2,7,3,33,3.4,-0.11,69,Y,0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +5,3,15824,5,1,7,1,36,3.4,0.01,69,Y,-0.84,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,4,15826,4,1,7,5,47,3.4,-0.33,70,Y,-0.42,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +,,15872,8,2,6,5,36,3.4,0.9,69,Y,,P,7,P,94,1,5,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,5,15873,4,1,7,3,37,3.4,-0.32,64,Y,-0.11,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,1,15881,1,1,3,4,30,3.4,-2.03,70,Y,-1.75,P,7,P,94,1,5,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,655.78946,f 640-700,f 640-700,0.99846447,3.4 +2,2,15899,3,2,2,3,32.5,3.4,-0.75,69,Y,-1.25,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +4,4,15910,4,2,8,2,29.5,3.4,-0.36,69,Y,-0.58,P,2,P,94,1,4,-67,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +10,10,15916,10,1,7,1,33,3.4,1.65,68,Y,1.75,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +10,5,15936,10,2,7,5,42,3.4,2.05,65,Y,-0.19,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +6,9,15960,6,1,7,3,41,3.4,0.2,68,Y,0.95,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +,,15967,,2,7,1,38,3.4,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,9,15988,7,1,7,1,36,3.4,0.37,68,Y,1.06,P,7,P,94,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,3,15992,3,1,7,3,25,3.4,-0.58,69,Y,-0.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,576.842095,d 520-580,d 520-580,0.99846447,3.4 +4,4,15995,4,1,7,4,45,3.4,-0.45,64,Y,-0.42,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +9,10,16087,9,1,7,2,29,3.4,1.21,68,Y,1.59,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +3,4,16099,3,1,2,3,36,3.4,-0.63,69,Y,-0.47,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,3,16109,4,1,7,3,39,3.4,-0.47,68,Y,-0.77,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,7,16116,6,1,7,3,36,3.4,0.2,69,Y,0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,2,16119,1,2,7,1,43,3.4,-1.33,67,Y,-1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +8,7,16123,8,1,7,1,43,3.4,0.71,68,Y,0.51,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +5,4,16136,5,2,7,1,36,3.4,-0.16,56,Y,-0.47,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,8,16147,7,2,7,3,37,3.4,0.27,68,Y,0.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,10,16159,9,2,7,4,35,3.4,1.12,60,Y,1.39,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,16168,10,2,7,3,45,3.4,1.88,56,Y,2.17,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,892.631555,g 700+,i 820+,0.99846447,3.4 +7,8,16193,8,2,7,1,41,3.4,0.59,60,Y,0.63,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,8,16255,6,2,7,5,48,3.4,0.29,66,Y,0.55,P,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +10,10,16260,10,1,7,3,37,3.4,2.71,68,Y,2.21,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,16264,,1,7,5,35,3.4,,66,Y,,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,8,16267,7,2,7,1,32,3.4,0.31,67,Y,0.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +,,16297,10,2,7,5,36,3.4,1.64,67,Y,,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,5,16302,3,2,7,4,39,3.4,-0.7,68,Y,-0.24,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,16314,10,1,7,4,44,3.4,2.24,65,Y,2.47,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +7,7,16321,7,2,7,4,44,3.4,0.43,67,Y,0.27,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +8,7,16350,8,1,3,3,36,3.4,0.83,61,Y,0.34,P,7,P,94,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,8,16358,8,2,7,4,39,3.4,0.64,64,Y,0.84,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,3,16360,3,1,7,3,35,3.4,-0.52,58,Y,-0.61,P,2,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,2,16372,3,2,7,3,33,3.4,-0.68,63,Y,-1.31,F,7,F,93,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,10,16379,8,1,7,1,36.5,3.4,0.8,52,Y,1.35,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.4210345,g 700+,g 700-760,0.99846447,3.4 +1,1,16399,1,1,7,2,33,3.4,-1.61,41,Y,-1.98,F,7,F,94,1,2,-34,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +5,3,16400,5,2,7,3,36,3.4,-0.11,62,Y,-0.57,P,7,P,94,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,2,16419,2,1,7,1,38,3.4,-1.04,69,Y,-0.98,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,8,16433,10,2,7,3,48,3.4,1.26,68,Y,0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,939.999974,g 700+,i 820+,0.99846447,3.4 +7,6,16449,7,1,7,3,33,3.4,0.41,69,Y,0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,10,16453,9,1,7,5,44,3.4,0.97,69,Y,1.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +4,6,16461,5,1,7,2,33,3.4,-0.21,58,Y,-0.03,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,8,16467,8,2,7,1,44,3.4,0.77,55,Y,0.82,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +1,1,16472,1,2,3,1,32,3.4,-1.78,68,Y,-1.73,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,5,16476,6,2,7,1,41,3.4,0.08,67,Y,-0.21,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +5,7,16502,5,2,7,1,42,3.4,0.01,65,Y,0.38,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +3,5,16511,3,1,7,2,27,3.4,-0.66,68,Y,-0.1,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,608.421041,e 580-640,e 580-640,0.99846447,3.4 +3,3,16553,3,2,6,4,33,3.4,-0.5,68,Y,-0.64,P,2,P,95,1,4,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,5,16560,8,2,7,1,45,3.4,0.61,65,Y,-0.02,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +5,5,16565,6,2,7,3,30,3.4,0.05,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +5,5,16574,5,2,7,4,46,3.4,0,67,Y,-0.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +7,7,16619,7,1,7,3,40,3.4,0.36,45,Y,0.36,F,2,F,95,2,4,-43,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,9,16647,8,2,7,1,41,3.4,0.62,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +2,1,16656,2,2,7,3,34.5,3.4,-0.95,69,Y,-1.37,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.8420885,g 700+,g 700-760,0.99846447,3.4 +8,9,16665,9,1,7,3,36,3.4,0.84,58,Y,0.93,P,2,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,6,16688,5,1,7,1,35,3.4,0.02,68,Y,0.17,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,6,16744,5,2,7,3,37,3.4,-0.03,68,Y,0.13,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,7,16768,5,1,7,1,45,3.4,-0.03,69,Y,0.48,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +8,8,16778,9,2,7,3,39,3.4,0.87,69,Y,0.76,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,2,16782,5,2,7,1,44,3.4,-0.02,69,Y,-1.3,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +5,3,16807,5,2,3,4,27,3.4,-0.19,69,Y,-0.76,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,608.421041,e 580-640,e 580-640,0.99846447,3.4 +6,3,16845,6,2,7,1,44,3.4,0.12,69,Y,-0.62,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +8,8,16851,8,1,7,3,34,3.4,0.79,69,Y,0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +7,2,16887,7,2,7,3,33,3.4,0.33,66,Y,-0.9,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +6,8,16909,7,2,7,3,36,3.4,0.27,69,Y,0.55,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +10,10,16934,10,2,7,4,42,3.4,1.94,63,Y,1.97,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +3,3,16940,4,2,7,2,41,3.4,-0.48,64,Y,-0.77,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,829.473663,g 700+,i 820+,0.99846447,3.4 +3,3,16947,3,1,7,1,39,3.4,-0.56,68,Y,-0.64,P,7,P,95,2,2,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,8,16981,9,2,7,1,48,3.4,1.04,67,Y,0.86,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,939.999974,g 700+,i 820+,0.99846447,3.4 +5,4,16989,5,2,4,4,31,3.4,-0.16,67,Y,-0.36,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,671.578933,f 640-700,f 640-700,0.99846447,3.4 +5,7,17019,5,2,7,5,34,3.4,0,68,Y,0.49,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,3,17028,2,1,7,2,30,3.4,-1,69,Y,-0.66,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.78946,f 640-700,f 640-700,0.99846447,3.4 +4,7,17034,5,1,7,4,36,3.4,-0.23,68,Y,0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,9,17038,9,2,7,3,32,3.4,0.98,68,Y,1.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,2,17072,3,1,7,1,39,3.4,-0.73,69,Y,-0.97,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,1,17093,3,2,7,3,36,3.4,-0.65,68,Y,-1.58,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,7,17100,6,2,7,3,40,3.4,0.22,69,Y,0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,17119,10,1,7,4,48,3.4,2.4,64,Y,2.27,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +8,8,17127,9,1,7,2,30,3.4,0.82,69,Y,0.65,P,2,P,95,2,3,-67,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.78946,f 640-700,f 640-700,0.99846447,3.4 +8,7,17132,8,2,8,4,40.5,3.4,0.83,67,Y,0.41,P,7,P,95,2,3,-60,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,821.5789265,g 700+,i 820+,0.99846447,3.4 +2,3,17138,2,2,7,1,37,3.4,-0.86,68,Y,-0.85,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,4,17143,6,2,7,3,39,3.4,0.01,64,Y,-0.4,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,17162,,2,7,1,44,3.4,,62,Y,1.88,P,7,P,94,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +9,5,17164,9,2,7,5,46,3.4,1.28,66,Y,0,P,2,P,96,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +10,10,17180,10,2,7,3,38,3.4,1.38,69,Y,1.54,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,6,17181,7,2,7,1,36,3.4,0.41,54,Y,0.29,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,17184,7,1,7,3,39,3.4,0.38,70,Y,,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,17195,,2,7,4,35,3.4,,53,Y,,P,7,P,95,2,3,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,4,17209,5,1,7,1,40,3.4,-0.05,68,Y,-0.42,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,9,17212,9,1,7,1,38,3.4,0.96,70,Y,1.15,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,4,17220,5,2,7,2,29,3.4,-0.19,69,Y,-0.44,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +9,6,17240,9,2,7,3,30,3.4,0.87,69,Y,0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +7,5,17255,7,2,7,3,40,3.4,0.35,68,Y,-0.07,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,9,17270,8,1,7,4,36,3.4,0.71,63,Y,1.03,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,17280,,1,7,5,38,3.4,,62,Y,,P,7,P,94,1,1,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,2,17296,3,2,7,3,41,3.4,-0.74,58,Y,-0.89,P,7,P,94,1,1,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +2,2,17306,2,1,3,4,39,3.4,-0.97,62,Y,-0.9,P,7,P,94,1,3,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,4,17320,1,1,7,2,34,3.4,-1.4,68,Y,-0.52,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +4,5,17325,4,2,7,3,19.5,3.4,-0.38,67,Y,-0.18,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,489.9999935,c 460-520,c 460-520,0.99846447,3.4 +4,3,17337,4,2,2,3,33,3.4,-0.36,69,Y,-0.77,P,2,P,95,1,4,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +,,17343,,1,7,1,38,3.4,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,17369,10,1,7,3,39.5,3.4,1.58,67,Y,1.93,P,2,P,94,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.7894535,g 700+,h 760-820,0.99846447,3.4 +3,4,17378,4,2,7,4,45,3.4,-0.48,69,Y,-0.27,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +10,9,17380,10,1,7,2,37,3.4,1.77,67,Y,1.29,P,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,17409,10,1,7,5,39,3.4,1.61,66,Y,,P,7,P,94,1,,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,2,17426,3,2,7,5,47,3.4,-0.85,67,Y,-1.27,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +7,5,17457,7,2,7,3,35,3.4,0.47,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,3,17480,4,2,7,1,39,3.4,-0.45,67,Y,-0.73,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,17485,10,1,7,3,32.5,3.4,1.81,69,Y,2.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +10,9,17491,10,2,7,3,34.5,3.4,1.33,68,Y,1.18,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.8420885,g 700+,g 700-760,0.99846447,3.4 +1,2,17498,2,2,7,1,40.5,3.4,-1.17,63,Y,-1.26,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.5789265,g 700+,i 820+,0.99846447,3.4 +9,8,17499,9,2,7,2,32,3.4,0.92,69,Y,0.59,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,687.368406,f 640-700,f 640-700,0.99846447,3.4 +8,9,17509,8,2,7,4,43,3.4,0.56,68,Y,1.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +2,2,17514,2,2,7,3,33,3.4,-1.04,69,Y,-1.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,6,17518,4,2,7,3,28,3.4,-0.36,69,Y,0.2,P,,P,,2,3,,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +3,5,17526,3,1,7,2,33,3.4,-0.65,68,Y,-0.25,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,6,17553,5,2,7,3,35,3.4,-0.23,65,Y,0.01,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,4,17554,3,1,3,4,39,3.4,-0.75,69,Y,-0.3,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,7,17576,7,2,7,5,45,3.4,0.51,69,Y,0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +,,17577,,1,7,5,36,3.4,,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,7,17594,6,2,7,1,40,3.4,0.12,67,Y,0.38,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,6,17619,8,2,7,5,48,3.4,0.85,68,Y,0.13,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +3,4,17636,3,1,7,3,38,3.4,-0.68,60,Y,-0.52,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,2,17638,5,2,7,3,36,3.4,-0.02,53,Y,-0.97,P,2,P,96,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,1,17654,1,1,7,3,26.5,3.4,-1.36,69,Y,-1.33,F,7,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,600.5263045,e 580-640,e 580-640,0.99846447,3.4 +7,8,17676,7,2,7,1,40,3.4,0.36,63,Y,0.64,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,2,17697,2,1,7,2,31,3.4,-1.09,47,Y,-1.17,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +8,5,17707,8,2,7,1,42,3.4,0.64,64,Y,-0.02,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,9,17730,9,2,7,3,28,3.4,1.16,69,Y,1.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +3,5,17732,3,2,7,1,46,3.4,-0.69,69,Y,-0.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +5,8,17733,6,2,7,4,41,3.4,0.04,68,Y,0.79,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +,,17763,,1,7,1,37.5,3.4,,65,Y,,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.2105075,g 700+,h 760-820,0.99846447,3.4 +7,6,17765,7,2,7,1,36,3.4,0.36,67,Y,0.23,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,8,17766,8,2,7,1,34,3.4,0.58,67,Y,0.75,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +6,8,17786,6,1,7,1,27,3.4,0.14,69,Y,0.77,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,608.421041,e 580-640,e 580-640,0.99846447,3.4 +6,8,17800,6,1,7,3,42,3.4,0.09,69,Y,0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +9,9,17806,9,2,7,1,36,3.4,1.15,58,Y,1.25,P,,P,,1,5,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,17819,,1,7,5,40,3.4,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,1,17832,1,2,6,1,36,3.4,-2.16,67,Y,-2.01,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,17841,,1,7,1,39,3.4,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,3,17848,1,2,3,3,23,3.4,-1.58,63,Y,-0.87,F,7,P,95,1,2,-56,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,545.263149,d 520-580,d 520-580,0.99846447,3.4 +7,7,17864,8,1,7,2,30,3.4,0.51,69,Y,0.29,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.78946,f 640-700,f 640-700,0.99846447,3.4 +7,7,17875,8,2,7,3,29,3.4,0.53,67,Y,0.44,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.999987,e 580-640,e 580-640,0.99846447,3.4 +7,9,17885,7,1,7,4,48,3.4,0.47,67,Y,0.87,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +8,8,17888,8,2,7,3,33,3.4,0.62,60,Y,0.58,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,6,17903,9,2,7,3,34,3.4,1.07,67,Y,0.05,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,3,17919,2,2,6,5,42,3.4,-1.04,69,Y,-0.63,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,17923,10,1,7,3,36,3.4,1.45,69,Y,1.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,17937,2,1,7,3,36.5,3.4,-0.88,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.4210345,g 700+,g 700-760,0.99846447,3.4 +2,4,17948,2,1,6,4,35.5,3.4,-0.84,69,Y,-0.51,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.6315615,g 700+,g 700-760,0.99846447,3.4 +9,10,17954,9,1,7,4,41,3.4,1.26,69,Y,1.3,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +4,3,17960,4,2,7,1,39,3.4,-0.3,63,Y,-0.57,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,5,17961,7,2,7,4,48,3.4,0.48,67,Y,-0.08,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +8,8,17971,8,1,2,5,44,3.4,0.77,67,Y,0.7,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +8,7,17976,8,1,7,3,34,3.4,0.69,60,Y,0.48,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,2,17983,2,1,7,1,39,3.4,-1.02,66,Y,-1.11,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,3,17984,2,2,7,4,35,3.4,-0.91,54,Y,-0.7,F,2,F,96,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,17992,8,2,7,5,36.5,3.4,0.87,68,Y,0.65,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,758.4210345,g 700+,g 700-760,0.99846447,3.4 +7,8,17993,8,2,8,1,39.5,3.4,0.59,66,Y,0.84,P,7,P,94,1,4,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,805.7894535,g 700+,h 760-820,0.99846447,3.4 +10,10,18003,10,2,7,1,43,3.4,1.74,69,Y,1.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +4,8,18010,4,2,7,3,35,3.4,-0.29,66,Y,0.62,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,4,18028,5,1,7,3,33,3.4,-0.15,68,Y,-0.29,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,2,18041,4,2,7,1,37,3.4,-0.32,67,Y,-1.05,P,2,P,96,2,2,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,5,18043,4,2,7,2,35,3.4,-0.47,69,Y,-0.29,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,2,18055,4,1,7,3,32,3.4,-0.44,69,Y,-1.19,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +2,3,18065,2,2,4,5,38,3.4,-1.07,63,Y,-0.63,P,7,P,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,7,18066,7,1,7,3,29,3.4,0.27,69,Y,0.27,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.999987,e 580-640,e 580-640,0.99846447,3.4 +5,5,18071,5,1,7,3,33,3.4,-0.04,65,Y,-0.19,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +6,7,18075,6,1,7,2,42,3.4,0.19,66,Y,0.43,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,845.263136,g 700+,i 820+,0.99846447,3.4 +2,3,18105,2,1,2,3,37,3.4,-1.01,66,Y,-0.66,P,7,P,94,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,10,18107,10,1,7,1,41,3.4,1.66,69,Y,1.56,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,5,18110,6,2,7,3,33,3.4,0.07,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,5,18140,5,1,7,3,39,3.4,-0.18,69,Y,-0.21,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,7,18151,6,1,7,3,35,3.4,0.05,68,Y,0.33,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,18156,10,1,7,1,45,3.4,1.87,64,Y,1.62,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +3,5,18157,4,1,7,4,36,3.4,-0.47,68,Y,-0.05,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,4,18158,5,1,7,3,36,3.4,-0.08,68,Y,-0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,4,18161,1,2,7,3,34,3.4,-1.35,54,Y,-0.49,P,2,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +1,2,18179,1,1,3,4,29,3.4,-1.32,65,Y,-1.2,P,7,P,94,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,639.999987,e 580-640,e 580-640,0.99846447,3.4 +8,10,18190,8,2,7,3,38,3.4,0.8,65,Y,1.34,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,5,18191,8,1,7,4,46,3.4,0.79,69,Y,-0.06,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +5,4,18206,5,1,6,1,39,3.4,0.04,51,Y,-0.35,P,7,P,94,1,3,-44,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,4,18207,4,2,7,1,43,3.4,-0.34,55,Y,-0.49,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +3,2,18208,4,2,7,1,36,3.4,-0.47,66,Y,-1.28,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,1,18209,3,1,7,1,41,3.4,-0.71,69,Y,-1.35,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +1,2,18231,2,2,2,1,42,3.4,-1.21,64,Y,-0.9,P,7,P,94,1,3,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +4,5,18232,4,2,7,1,38,3.4,-0.39,69,Y,-0.16,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,3,18247,2,2,7,3,28,3.4,-0.92,69,Y,-0.65,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +,,18274,,1,7,5,42,3.4,,64,Y,,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +2,2,18284,2,1,7,4,39.5,3.4,-1.02,68,Y,-1.08,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,805.7894535,g 700+,h 760-820,0.99846447,3.4 +2,4,18298,2,2,7,1,37,3.4,-0.9,68,Y,-0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,5,18314,7,1,7,1,37,3.4,0.37,68,Y,0,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,18316,9,1,7,4,34,3.4,1.05,69,Y,1.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,10,18338,9,2,7,4,38,3.4,1.23,64,Y,1.36,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,2,18345,3,2,2,3,32,3.4,-0.71,69,Y,-1.14,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +4,6,18353,5,2,7,3,35,3.4,-0.19,68,Y,0.24,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,18369,8,1,7,1,39,3.4,0.87,59,Y,0.67,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,6,18377,6,1,7,2,29,3.4,0.02,67,Y,0.09,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +8,4,18390,8,2,7,4,43,3.4,0.61,64,Y,-0.34,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +8,9,18425,8,1,7,3,35,3.4,0.75,68,Y,1.17,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,6,18447,7,2,7,4,37,3.4,0.26,62,Y,0.04,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,3,18448,3,1,4,1,30,3.4,-0.6,68,Y,-0.83,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.78946,f 640-700,f 640-700,0.99846447,3.4 +2,2,18470,2,2,7,3,39,3.4,-1.07,69,Y,-1.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,7,18476,7,1,7,1,41,3.4,0.33,69,Y,0.44,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +,,18488,,1,7,3,41,3.4,,51,Y,1.75,P,7,P,94,1,2,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +4,3,18558,5,2,7,3,33,3.4,-0.24,66,Y,-0.87,P,7,P,93,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,3,18559,4,2,7,1,40,3.4,-0.41,63,Y,-0.61,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,7,18612,3,2,7,1,28,3.4,-0.56,65,Y,0.37,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,624.210514,e 580-640,e 580-640,0.99846447,3.4 +5,6,18621,5,2,7,4,34,3.4,-0.03,63,Y,0.22,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,4,18622,5,2,7,1,36,3.4,-0.03,68,Y,-0.53,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +3,4,18625,3,2,7,3,40,3.4,-0.65,69,Y,-0.39,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,1,18657,3,2,7,1,36,3.4,-0.56,68,Y,-1.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,8,18660,6,2,7,1,44,3.4,0.09,58,Y,0.66,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +2,1,18677,2,1,2,1,29,3.4,-1.04,68,Y,-1.44,P,2,P,95,1,3,-66,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,639.999987,e 580-640,e 580-640,0.99846447,3.4 +3,2,18682,3,2,7,5,40,3.4,-0.76,55,Y,-0.95,F,7,P,95,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,18683,10,2,7,1,41,3.4,2.17,68,Y,2.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +2,2,18691,2,2,7,1,34,3.4,-0.97,69,Y,-1.23,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,18696,9,2,3,1,39,3.4,1.13,52,Y,0.93,P,7,P,94,1,2,-45,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,18716,4,1,7,4,35,3.4,-0.29,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,1,18721,1,2,7,1,37,3.4,-1.43,69,Y,-1.57,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,4,18730,2,1,7,2,31,3.4,-1.01,69,Y,-0.56,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +10,10,18772,10,1,7,3,40,3.4,1.55,69,Y,1.6,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,8,18779,4,2,7,3,38,3.4,-0.43,57,Y,0.65,P,7,P,94,1,2,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,18789,10,2,7,3,38,3.4,1.33,69,Y,1.59,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,3,18814,3,1,7,4,43,3.4,-0.58,64,Y,-0.75,F,7,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +5,5,18836,5,1,7,1,31,3.4,0.01,69,Y,-0.21,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,3,18844,3,1,2,5,42,3.4,-0.78,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +6,8,18866,6,1,7,3,35,3.4,0.09,66,Y,0.71,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,18870,8,1,7,3,39.5,3.4,0.64,66,Y,0.56,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.7894535,g 700+,h 760-820,0.99846447,3.4 +5,4,18899,5,1,7,1,37,3.4,0.04,68,Y,-0.43,P,7,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,1,18913,1,1,3,1,28,3.4,-2.37,69,Y,-2.46,F,7,F,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,624.210514,e 580-640,e 580-640,0.99846447,3.4 +4,6,18914,4,1,8,4,30.5,3.4,-0.32,67,Y,0.04,P,7,P,94,1,4,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +9,9,18928,9,2,7,1,37,3.4,1.23,69,Y,1.03,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,2,18941,1,1,8,3,38.5,3.4,-1.92,65,Y,-0.89,P,7,P,94,1,4,-58,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,789.9999805,g 700+,h 760-820,0.99846447,3.4 +3,5,18947,3,2,7,1,38,3.4,-0.51,66,Y,-0.25,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,8,18954,6,2,7,3,28,3.4,0.12,67,Y,0.59,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +1,1,18955,1,2,7,1,40,3.4,-1.7,68,Y,-1.81,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,1,18957,1,1,3,1,36,3.4,-1.73,69,Y,-2.08,F,2,F,95,1,2,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,6,18966,6,2,7,4,34,3.4,0.17,69,Y,0.21,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,9,18981,8,2,3,6,30,3.4,0.71,65,Y,1.04,P,7,P,94,1,1,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,655.78946,f 640-700,f 640-700,0.99846447,3.4 +8,7,18986,8,2,3,1,40,3.4,0.82,67,Y,0.47,P,7,P,94,1,1,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,8,18996,8,1,7,3,36,3.4,0.82,68,Y,0.55,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,7,19014,4,2,7,1,44,3.4,-0.33,64,Y,0.49,P,2,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +,,19017,,2,6,5,44,3.4,,69,Y,,F,7,P,95,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +,,19029,,1,2,5,34,3.4,,67,Y,,P,7,P,94,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,19101,10,2,7,3,37.5,3.4,1.68,68,Y,2.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.2105075,g 700+,h 760-820,0.99846447,3.4 +1,2,19102,2,2,7,3,24.7,3.4,-1.17,67,Y,-1.13,P,7,P,94,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,572.1052531,d 520-580,d 520-580,0.99846447,3.4 +6,9,19103,7,2,7,4,42,3.4,0.27,68,Y,1.03,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +,,19105,,1,3,1,32,3.4,,45,Y,,F,7,P,95,1,2,-38,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,6,19106,3,1,2,3,31,3.4,-0.53,68,Y,0.05,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,5,19107,3,2,7,4,41.5,3.4,-0.52,68,Y,-0.17,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.3683995,g 700+,i 820+,0.99846447,3.4 +2,2,19110,2,2,7,4,33,3.4,-1.11,61,Y,-1.17,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +,,19124,,2,6,5,37,3.4,,67,Y,,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,3,19139,3,2,7,1,29,3.4,-0.58,66,Y,-0.61,F,7,P,96,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,639.999987,e 580-640,e 580-640,0.99846447,3.4 +4,6,19175,4,1,7,1,41,3.4,-0.35,68,Y,0.04,P,6,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +1,3,19184,2,1,7,3,35,3.4,-1.11,69,Y,-0.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,4,19219,4,1,7,4,32,3.4,-0.36,68,Y,-0.31,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +9,10,19220,9,2,6,3,34,3.4,0.89,60,Y,1.81,P,2,P,94,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +7,4,19221,7,1,7,1,36,3.4,0.42,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,1,19227,1,1,7,4,26.3,3.4,-1.73,61,Y,-2,F,7,P,95,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,597.3684099,e 580-640,e 580-640,0.99846447,3.4 +7,8,19232,7,1,6,5,44,3.4,0.58,69,Y,0.69,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +7,8,19236,7,2,7,1,33,3.4,0.4,68,Y,0.83,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +,,19243,,2,7,1,40,3.4,,67,Y,,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,4,19244,3,2,7,1,36,3.4,-0.6,68,Y,-0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +10,10,19255,10,1,7,4,43,3.4,1.96,63,Y,2.06,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +5,7,19284,5,1,7,1,42,3.4,-0.11,67,Y,0.55,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,9,19287,9,2,7,1,44,3.4,1.06,64,Y,0.88,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +7,5,19308,7,2,7,3,39,3.4,0.36,69,Y,-0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,7,19315,7,2,7,5,46,3.4,0.6,69,Y,0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +10,7,19341,10,2,7,5,44,3.4,1.79,67,Y,0.5,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +,,19365,,2,7,6,27.5,3.4,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,616.3157775,e 580-640,e 580-640,0.99846447,3.4 +10,10,19391,10,2,7,3,27,3.4,1.55,68,Y,1.89,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,608.421041,e 580-640,e 580-640,0.99846447,3.4 +5,2,19404,5,2,7,3,41,3.4,-0.05,69,Y,-1.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +5,4,19408,6,2,7,4,40,3.4,0.02,69,Y,-0.27,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,9,19438,10,2,7,5,39,3.4,2.39,67,Y,0.98,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,3,19451,3,1,7,3,30,3.4,-0.59,68,Y,-0.7,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +1,2,19457,2,2,7,3,33,3.4,-1.18,54,Y,-0.95,P,2,P,95,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,7,19465,4,1,6,5,30,3.4,-0.29,70,Y,0.41,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,655.78946,f 640-700,f 640-700,0.99846447,3.4 +5,5,19467,5,2,7,3,41,3.4,-0.11,70,Y,-0.08,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +8,5,19472,8,2,6,1,36,3.4,0.7,66,Y,-0.1,P,7,P,94,1,5,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,6,19511,2,2,7,1,37,3.4,-1.02,68,Y,0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,4,19527,5,1,2,5,43,3.4,-0.02,69,Y,-0.32,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +2,2,19537,2,1,7,4,30,3.4,-1.09,65,Y,-1.13,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,655.78946,f 640-700,f 640-700,0.99846447,3.4 +,,19539,4,1,7,4,33,3.4,-0.47,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +10,10,19558,10,1,7,1,39,3.4,1.85,69,Y,1.67,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,9,19568,9,1,7,6,38,3.4,1.19,69,Y,1.24,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,10,19571,9,2,7,1,41,3.4,0.99,67,Y,1.47,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +10,9,19598,10,2,7,1,46,3.4,1.84,69,Y,1.07,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +10,10,19600,10,1,7,1,34,3.4,2.05,69,Y,1.98,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,5,19605,5,2,7,3,33,3.4,-0.11,69,Y,-0.04,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +6,8,19606,6,2,7,1,39,3.4,0.29,62,Y,0.67,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,7,19634,7,1,7,1,38,3.4,0.29,67,Y,0.4,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,5,19649,6,1,7,1,37,3.4,0.1,70,Y,-0.11,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,6,19653,6,1,7,1,43,3.4,0.26,69,Y,0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +,,19656,,2,7,1,41,3.4,,60,Y,,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +1,3,19692,1,2,7,2,29,3.4,-1.32,68,Y,-0.88,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +4,2,19693,4,2,7,4,35,3.4,-0.36,64,Y,-0.92,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,5,19704,4,1,7,3,33,3.4,-0.3,69,Y,-0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +1,1,19707,1,2,7,4,42,3.4,-1.27,69,Y,-2.04,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +5,4,19714,5,2,7,4,31,3.4,-0.14,,Y,-0.41,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,671.578933,f 640-700,f 640-700,0.99846447,3.4 +6,7,19717,7,2,7,3,39,3.4,0.26,68,Y,0.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,2,19729,3,2,7,3,33,3.4,-0.56,68,Y,-1.07,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,7,19756,9,1,7,1,43,3.4,0.97,68,Y,0.47,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +5,5,19764,6,1,7,3,33.5,3.4,0,69,Y,-0.21,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.0526155,g 700+,g 700-760,0.99846447,3.4 +2,1,19779,2,2,4,4,32,3.4,-1.1,69,Y,-1.81,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +9,9,19783,9,2,7,4,35,3.4,1.08,69,Y,1.26,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,4,19788,6,1,7,3,36,3.4,0.24,69,Y,-0.56,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,1,19808,1,2,4,4,35,3.4,-1.72,70,Y,-1.85,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,6,19810,3,2,7,1,35,3.4,-0.67,54,Y,0.08,P,2,P,96,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,8,19812,10,2,7,3,35,3.4,1.51,65,Y,0.84,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,9,19827,10,1,7,3,40,3.4,1.34,68,Y,0.95,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,19829,,2,2,5,43,3.4,,67,Y,,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +8,8,19859,8,2,7,1,42,3.4,0.8,64,Y,0.57,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +3,5,19907,4,1,7,3,28.5,3.4,-0.44,63,Y,-0.24,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +1,4,19925,1,1,7,2,26.5,3.4,-1.44,68,Y,-0.44,F,7,P,95,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,600.5263045,e 580-640,e 580-640,0.99846447,3.4 +10,9,19931,10,2,7,4,46,3.4,1.85,69,Y,1.03,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +5,3,19949,5,1,7,4,44,3.4,-0.2,68,Y,-0.55,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +10,10,19978,10,1,7,3,39,3.4,1.7,69,Y,1.87,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,19981,10,2,7,1,48,3.4,2.08,68,Y,1.89,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,939.999974,g 700+,i 820+,0.99846447,3.4 +7,6,20008,7,1,7,3,40,3.4,0.45,67,Y,0.23,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,9,20011,6,2,7,5,37.7,3.4,0.25,61,Y,1.22,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.3684021,g 700+,h 760-820,0.99846447,3.4 +5,4,20020,5,2,7,4,44,3.4,-0.12,69,Y,-0.29,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +1,5,20032,2,2,7,4,37,3.4,-1.21,66,Y,-0.19,F,2,F,96,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,4,20033,3,1,3,3,28.5,3.4,-0.7,67,Y,-0.48,P,2,P,95,1,,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +9,9,20037,9,1,7,3,39,3.4,1.13,58,Y,1.27,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,3,20050,4,2,1,4,37,3.4,-0.49,64,Y,-0.53,P,7,P,94,1,2,-57,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,3,20053,6,1,7,1,42,3.4,0.18,68,Y,-0.62,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +3,6,20075,4,2,7,5,48,3.4,-0.49,68,Y,0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +8,7,20078,8,1,7,3,43,3.4,0.77,69,Y,0.48,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +9,9,20085,9,1,7,3,40,3.4,0.94,69,Y,0.94,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,6,20104,5,1,3,4,36,3.4,0.01,69,Y,0.13,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,9,20107,9,2,7,3,34,3.4,0.86,69,Y,0.98,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,10,20125,9,2,7,2,37,3.4,1.09,56,Y,1.93,P,7,P,95,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,6,20126,5,1,7,1,37,3.4,-0.07,69,Y,0.04,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,3,20157,3,1,7,3,42,3.4,-0.58,69,Y,-0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +6,8,20174,7,2,7,5,42,3.4,0.35,69,Y,0.78,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +8,8,20196,8,2,7,3,43,3.4,0.57,67,Y,0.58,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +9,9,20199,9,1,7,3,35,3.4,0.96,65,Y,1.08,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,4,20212,6,2,7,3,36,3.4,0.07,69,Y,-0.33,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,1,20219,2,2,7,3,30.5,3.4,-1.27,57,Y,-1.73,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +3,3,20236,4,1,7,1,35,3.4,-0.47,68,Y,-0.88,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +2,2,20248,3,2,7,3,39,3.4,-0.77,69,Y,-1.15,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,6,20281,5,1,7,5,47,3.4,-0.09,49,Y,0.26,P,7,P,94,1,1,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +8,8,20285,8,1,7,3,33.5,3.4,0.61,65,Y,0.63,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.0526155,g 700+,g 700-760,0.99846447,3.4 +10,10,20290,10,1,7,3,39,3.4,2.24,68,Y,2.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,1,20301,1,1,3,1,27,3.4,-1.81,65,Y,-1.41,P,7,P,95,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,608.421041,e 580-640,e 580-640,0.99846447,3.4 +3,5,20332,3,2,7,1,39,3.4,-0.72,67,Y,-0.19,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,3,20358,3,2,7,4,40,3.4,-0.63,68,Y,-0.81,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +4,2,20394,4,1,7,4,30.5,3.4,-0.41,69,Y,-1.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +,,20400,,2,3,6,20.5,3.4,,50,Y,,P,7,P,94,1,1,-43,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,505.7894665,c 460-520,c 460-520,0.99846447,3.4 +9,9,20420,9,2,7,3,42,3.4,1,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +4,3,20432,4,2,7,1,36,3.4,-0.38,70,Y,-0.87,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,6,20433,7,2,7,1,32.5,3.4,0.29,66,Y,0.27,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +6,7,20442,6,1,7,4,48,3.4,0.21,,Y,0.35,P,7,P,94,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +7,9,20455,7,1,7,4,37,3.4,0.33,63,Y,0.88,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,10,20458,9,2,7,3,31,3.4,1.01,69,Y,1.68,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +,,20465,5,2,7,4,37,3.4,-0.17,69,X,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,3,20472,5,1,7,3,34,3.4,-0.05,53,Y,-0.69,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,20474,9,2,7,1,41,3.4,1.09,69,Y,0.97,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,4,20513,6,2,7,1,40,3.4,0.13,61,Y,-0.47,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,8,20515,7,1,7,3,32,3.4,0.32,67,Y,0.67,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,5,20527,5,1,7,1,39,3.4,-0.05,69,Y,-0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,6,20530,7,1,7,3,38,3.4,0.35,67,Y,0.24,P,7,P,95,2,1,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +6,3,20533,6,1,7,3,34,3.4,0.17,65,Y,-0.59,F,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,8,20550,8,2,7,4,35,3.4,0.66,67,Y,0.6,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +9,9,20562,9,1,7,3,40,3.4,1.25,69,Y,1.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,10,20564,9,1,7,4,35,3.4,1.15,65,Y,1.53,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,3,20565,5,2,7,1,37,3.4,-0.17,65,Y,-0.55,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,6,20580,6,1,7,2,34,3.4,0.1,68,Y,0.16,P,2,P,95,2,2,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +1,1,20582,1,2,6,1,34,3.4,-1.98,66,Y,-2.06,F,7,P,95,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,20585,,2,,3,39,3.4,0.37,69,Y,0.71,P,7,P,94,1,,-62,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,2,20596,2,1,2,4,35.5,3.4,-1.2,69,Y,-1.11,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,742.6315615,g 700+,g 700-760,0.99846447,3.4 +7,8,20603,7,1,7,3,39,3.4,0.37,66,Y,0.56,P,2,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,3,20613,6,1,7,2,34,3.4,0.13,65,Y,-0.68,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,20619,10,1,7,5,42,3.4,1.75,69,Y,1.42,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +8,7,20641,8,1,7,3,30,3.4,0.67,67,Y,0.29,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +5,5,20646,5,1,7,4,44,3.4,-0.12,56,Y,-0.04,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +2,1,20653,3,1,2,1,25.5,3.4,-0.76,69,Y,-1.63,P,7,P,94,1,1,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,584.7368315,e 580-640,e 580-640,0.99846447,3.4 +2,2,20667,2,1,7,5,48,3.4,-0.95,70,Y,-1.13,P,7,P,94,1,,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +5,4,20682,5,2,7,4,36.5,3.4,-0.02,67,Y,-0.38,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,758.4210345,g 700+,g 700-760,0.99846447,3.4 +4,6,20698,5,1,7,1,40,3.4,-0.17,68,Y,0.23,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,20700,10,1,7,3,31,3.4,1.31,69,Y,1.58,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +10,8,20709,10,2,7,1,44,3.4,1.35,66,Y,0.61,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +7,7,20712,7,2,7,3,35,3.4,0.33,69,Y,0.43,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,7,20717,8,2,7,3,44,3.4,0.75,66,Y,0.28,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,876.842082,g 700+,i 820+,0.99846447,3.4 +3,4,20721,4,1,7,1,44,3.4,-0.5,58,Y,-0.34,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +6,6,20735,6,2,7,3,35,3.4,0.2,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,7,20749,8,1,7,3,37,3.4,0.76,67,Y,0.41,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,20754,9,2,8,4,29,3.4,0.98,68,Y,0.96,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,639.999987,e 580-640,e 580-640,0.99846447,3.4 +,,20783,,1,7,1,42,3.4,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +1,1,20790,1,1,3,1,20,3.4,-2.41,68,Y,-1.8,F,7,F,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,497.89473,c 460-520,c 460-520,0.99846447,3.4 +8,7,20828,8,2,7,1,35,3.4,0.63,67,Y,0.37,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,6,20831,6,1,7,1,38,3.4,0.14,51,Y,0.02,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,8,20834,9,1,7,3,42,3.4,0.92,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +4,5,20858,4,1,7,5,43,3.4,-0.3,64,Y,-0.04,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +8,9,20861,9,2,7,3,38,3.4,0.84,69,Y,1.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,2,20864,3,2,7,1,37,3.4,-0.71,64,Y,-0.93,P,2,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,3,20868,6,2,7,1,31.5,3.4,0.12,55,Y,-0.55,P,7,P,95,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +5,7,20877,5,2,7,2,32.5,3.4,-0.03,65,Y,0.44,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +,,20897,,2,3,1,25,3.4,,69,Y,,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,576.842095,d 520-580,d 520-580,0.99846447,3.4 +6,5,20909,6,2,7,5,41,3.4,0.12,69,Y,-0.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +8,8,20917,8,1,7,3,35,3.4,0.71,69,Y,0.66,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,7,20944,7,2,7,1,34,3.4,0.39,65,Y,0.35,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,20945,4,1,2,5,45,3.4,-0.26,69,Y,,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +6,7,20949,6,1,7,1,41,3.4,0.24,69,Y,0.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +8,7,20958,8,2,7,3,37,3.4,0.57,68,Y,0.51,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,4,20972,5,2,7,4,34,3.4,-0.03,68,Y,-0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,20998,10,2,7,1,43,3.4,1.31,65,Y,1.44,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +10,10,21017,10,1,7,3,38,3.4,1.88,67,Y,2.31,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,2,21043,3,1,7,1,32.5,3.4,-0.6,69,Y,-0.96,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +8,7,21061,8,1,7,1,32,3.4,0.83,68,Y,0.52,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +6,7,21077,6,2,7,1,36,3.4,0.11,68,Y,0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,7,21091,8,1,7,1,39,3.4,0.6,69,Y,0.35,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,9,21155,9,1,7,3,34,3.4,0.87,70,Y,1.3,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +7,5,21161,7,2,7,3,38,3.4,0.37,68,Y,-0.1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,9,21191,8,2,7,5,48,3.4,0.83,68,Y,1.01,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +4,4,21206,5,1,7,3,35.5,3.4,-0.19,57,Y,-0.44,F,7,P,95,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,742.6315615,g 700+,g 700-760,0.99846447,3.4 +1,1,21225,1,1,7,4,35,3.4,-1.43,69,Y,-1.82,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,1,21279,2,2,7,3,41,3.4,-1.14,69,Y,-2.15,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +10,10,21293,10,1,3,6,39,3.4,1.61,64,Y,1.52,P,2,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,5,21297,4,2,7,4,47,3.4,-0.48,69,Y,-0.16,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,924.210501,g 700+,i 820+,0.99846447,3.4 +4,4,21298,4,1,7,3,38,3.4,-0.34,63,Y,-0.55,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,3,21302,4,1,7,1,36,3.4,-0.29,61,Y,-0.66,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,7,21304,9,1,7,2,31,3.4,0.96,68,Y,0.25,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,4,21306,4,2,7,1,36,3.4,-0.45,66,Y,-0.38,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +8,8,21323,8,2,7,1,44,3.4,0.85,68,Y,0.73,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +5,9,21328,5,1,7,3,35.3,3.4,-0.11,68,Y,1.01,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.4736669,g 700+,g 700-760,0.99846447,3.4 +10,10,21329,10,2,2,3,32.5,3.4,2.11,68,Y,1.8,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +5,9,21350,5,1,7,3,32,3.4,-0.06,66,Y,1.24,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +7,6,21358,8,1,7,3,40,3.4,0.54,69,Y,0.24,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,3,21430,2,2,7,4,33,3.4,-1.23,69,Y,-0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,7,21440,9,2,7,1,45,3.4,1.05,67,Y,0.54,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +8,5,21448,8,1,7,4,37,3.4,0.69,69,Y,0,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,7,21451,9,1,7,1,41,3.4,1.02,69,Y,0.45,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +8,6,21496,8,2,7,3,35,3.4,0.58,64,Y,0.2,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +9,9,21507,9,1,7,3,37,3.4,1.09,67,Y,1.01,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,2,21517,1,1,7,3,38,3.4,-1.83,69,Y,-1.31,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,21546,10,2,7,3,42,3.4,1.64,58,Y,1.63,P,2,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +9,9,21549,9,1,7,2,33,3.4,1.04,66,Y,1.21,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,5,21571,4,1,7,3,40,3.4,-0.29,69,Y,-0.14,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,5,21600,7,2,7,1,42,3.4,0.52,68,Y,-0.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,21612,10,1,7,5,48,3.4,2.12,67,Y,1.83,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,939.999974,g 700+,i 820+,0.99846447,3.4 +,,21638,,2,7,1,41,3.4,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +10,10,21653,10,2,7,1,40,3.4,1.35,69,Y,1.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,3,21656,4,2,7,3,40,3.4,-0.43,69,Y,-0.81,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,5,21680,4,2,7,3,37,3.4,-0.5,67,Y,-0.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,21711,9,1,7,3,42,3.4,1.25,67,Y,1.02,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +7,7,21718,7,2,7,3,43,3.4,0.32,64,Y,0.36,P,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +10,10,21761,10,2,7,3,39,3.4,1.61,67,Y,1.44,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,9,21766,10,1,7,5,46,3.4,1.5,69,Y,1.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +7,8,21767,7,2,7,4,43,3.4,0.32,70,Y,0.81,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +4,6,21782,4,1,3,3,30,3.4,-0.26,57,Y,0.22,P,7,P,94,1,3,-50,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +9,6,21799,9,1,7,3,37,3.4,1.05,60,Y,0.1,P,7,P,95,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,21801,4,1,7,5,45,3.4,-0.33,68,Y,,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +4,3,21810,4,1,7,4,34,3.4,-0.41,69,Y,-0.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,8,21838,9,1,7,2,35,3.4,1.04,69,Y,0.7,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,3,21842,5,1,7,3,36,3.4,-0.23,69,Y,-0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,8,21870,9,2,7,1,33,3.4,0.97,69,Y,0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,7,21878,9,1,7,1,36,3.4,1.1,69,Y,0.46,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,4,21885,2,2,7,1,34,3.4,-0.89,52,Y,-0.33,P,7,P,94,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +3,3,21913,4,2,7,4,43,3.4,-0.48,69,Y,-0.75,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +,,21925,,1,7,6,30,3.4,,65,Y,,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,655.78946,f 640-700,f 640-700,0.99846447,3.4 +3,2,21943,4,1,7,1,33,3.4,-0.46,69,Y,-1.07,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,5,21952,7,1,7,3,35,3.4,0.51,67,Y,-0.13,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +9,9,21956,9,1,7,1,36,3.4,1.15,66,Y,1.15,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,21957,,2,7,5,34,3.4,,65,Y,,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,718.947352,g 700+,g 700-760,0.99846447,3.4 +6,6,21958,6,2,7,5,37,3.4,0.12,67,Y,0.06,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,6,21993,6,2,7,1,42.5,3.4,0.19,67,Y,0.16,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.1578725,g 700+,i 820+,0.99846447,3.4 +1,1,21994,1,2,3,5,39,3.4,-1.79,69,Y,-2.19,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,5,22006,5,1,7,4,32,3.4,-0.1,66,Y,-0.03,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +4,5,22016,4,2,7,3,31.5,3.4,-0.27,66,Y,-0.24,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +6,5,22047,6,2,2,1,37,3.4,0.16,67,Y,-0.25,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,10,22048,10,2,7,4,48,3.4,2.85,56,Y,2.23,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +,,22071,,1,7,1,40,3.4,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,9,22072,9,1,7,3,35,3.4,1.1,70,Y,1.08,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +,,22081,,2,7,3,29.5,3.4,,69,Y,,P,7,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.8947235,f 640-700,f 640-700,0.99846447,3.4 +7,6,22083,7,2,7,3,39,3.4,0.34,64,Y,0.14,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,7,22100,7,2,7,1,42,3.4,0.29,66,Y,0.45,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +5,6,22127,5,1,7,1,39,3.4,-0.02,68,Y,0.19,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,8,22140,9,2,7,3,32,3.4,0.93,58,Y,0.62,P,2,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +2,3,22163,2,1,3,3,25.5,3.4,-0.91,69,Y,-0.85,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,584.7368315,e 580-640,e 580-640,0.99846447,3.4 +4,4,22191,4,1,7,4,37,3.4,-0.26,67,Y,-0.26,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,4,22196,4,2,7,1,38,3.4,-0.23,69,Y,-0.32,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,9,22198,9,1,7,3,37,3.4,1.01,68,Y,0.93,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,4,22202,6,1,2,3,29,3.4,0.2,68,Y,-0.51,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,639.999987,e 580-640,e 580-640,0.99846447,3.4 +3,4,22211,4,2,7,3,33,3.4,-0.43,69,Y,-0.37,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,7,22241,9,1,7,1,41,3.4,0.88,68,Y,0.49,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +3,4,22262,3,1,7,4,38.5,3.4,-0.74,67,Y,-0.38,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.9999805,g 700+,h 760-820,0.99846447,3.4 +4,4,22306,4,1,7,1,34,3.4,-0.43,58,Y,-0.4,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,8,22312,9,1,7,1,42,3.4,1.08,66,Y,0.75,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +7,8,22331,8,2,7,4,41,3.4,0.55,67,Y,0.81,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +7,8,22349,7,2,7,3,31,3.4,0.44,66,Y,0.76,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +6,7,22352,6,2,7,3,39,3.4,0.19,69,Y,0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +3,3,22353,3,2,7,1,41,3.4,-0.71,65,Y,-0.7,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +,,22366,9,2,7,5,41,3.4,1.42,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +7,8,22371,7,1,7,3,28,3.4,0.51,65,Y,0.8,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +3,2,22373,3,2,5,1,38,3.4,-0.66,66,Y,-0.88,P,7,P,95,2,4,-59,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,22381,10,2,7,4,42,3.4,1.88,68,Y,1.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +9,6,22387,9,1,7,3,37,3.4,1.05,68,Y,0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,3,22390,5,2,7,1,37,3.4,-0.22,66,Y,-0.72,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,7,22394,7,2,7,2,28,3.4,0.24,68,Y,0.48,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,624.210514,e 580-640,e 580-640,0.99846447,3.4 +5,5,22416,5,1,7,5,37,3.4,-0.11,68,Y,-0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,766.315771,g 700+,h 760-820,0.99846447,3.4 +8,9,22417,8,2,7,6,29,3.4,0.78,66,Y,0.94,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,639.999987,e 580-640,e 580-640,0.99846447,3.4 +9,8,22420,9,1,7,3,44,3.4,1.09,70,Y,0.73,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,876.842082,g 700+,i 820+,0.99846447,3.4 +9,10,22427,9,2,7,5,43,3.4,1.37,68,Y,1.55,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +,,22448,,1,7,5,43,3.4,,68,X,,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +7,8,22452,7,1,7,1,35,3.4,0.4,63,Y,0.82,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,3,22461,4,1,7,3,36,3.4,-0.44,55,Y,-0.67,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,5,22500,6,1,4,4,38,3.4,0.13,69,Y,-0.03,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,6,22562,5,1,7,4,39,3.4,-0.06,63,Y,0.17,P,7,P,95,2,1,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,5,22587,6,2,7,1,40,3.4,0.05,68,Y,-0.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +7,7,22590,8,1,6,6,24,3.4,0.55,56,Y,0.28,F,7,F,94,1,4,-49,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,561.052622,d 520-580,d 520-580,0.99846447,3.4 +6,8,22592,6,1,7,4,43,3.4,0.23,55,Y,0.72,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +3,4,22593,3,1,6,4,39,3.4,-0.65,69,Y,-0.44,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,1,22597,1,2,7,4,41,3.4,-2.4,68,Y,-2.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +9,9,22601,9,2,7,1,33.5,3.4,1.02,63,Y,1.11,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.0526155,g 700+,g 700-760,0.99846447,3.4 +10,10,22611,10,2,7,4,48,3.4,2.72,69,Y,1.6,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,939.999974,g 700+,i 820+,0.99846447,3.4 +7,7,22630,7,2,7,3,33.5,3.4,0.45,68,Y,0.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.0526155,g 700+,g 700-760,0.99846447,3.4 +6,7,22634,6,1,7,3,40,3.4,0.15,62,Y,0.39,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,2,22636,1,1,6,1,27.5,3.4,-1.45,64,Y,-1.29,F,7,P,95,1,3,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,616.3157775,e 580-640,e 580-640,0.99846447,3.4 +6,6,22642,6,1,7,3,37,3.4,0.09,69,Y,0.12,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,22643,,2,7,3,37,3.4,,68,Y,-1.15,P,6,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,5,22652,6,1,7,1,38,3.4,0.05,69,Y,-0.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,5,22655,4,2,7,2,30.5,3.4,-0.44,68,Y,-0.26,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +10,10,22666,10,1,7,4,37,3.4,2.28,62,Y,3.18,P,7,P,94,1,5,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,9,22685,9,1,7,3,34,3.4,0.89,69,Y,0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +4,2,22688,4,2,7,3,35,3.4,-0.42,68,Y,-0.92,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,7,22709,5,1,6,1,41,3.4,-0.02,69,Y,0.5,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +5,4,22716,5,1,7,5,46,3.4,-0.15,65,Y,-0.36,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +9,9,22725,9,2,7,5,47,3.4,1.31,68,Y,1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +2,3,22741,2,1,7,1,34,3.4,-0.92,68,Y,-0.86,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,5,22783,5,1,7,3,40,3.4,-0.1,63,Y,-0.11,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,5,22784,3,2,7,4,41,3.4,-0.59,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +1,2,22793,1,1,7,2,35,3.4,-1.51,68,Y,-1.23,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,6,22812,5,2,7,1,33,3.4,0.01,69,Y,0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,2,22815,3,1,7,3,26.5,3.4,-0.52,70,Y,-1.25,F,2,P,95,1,3,-68,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,600.5263045,e 580-640,e 580-640,0.99846447,3.4 +,,22826,2,2,7,5,46,3.4,-1.06,70,Y,,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +3,3,22834,3,2,7,4,31,3.4,-0.54,64,Y,-0.59,F,7,F,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,671.578933,f 640-700,f 640-700,0.99846447,3.4 +6,7,22843,6,2,7,1,44,3.4,0.09,68,Y,0.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +4,7,22856,4,2,7,1,41,3.4,-0.24,69,Y,0.46,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +5,4,22896,5,2,7,4,42,3.4,-0.16,61,Y,-0.41,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,22906,10,2,7,1,41,3.4,1.57,66,Y,1.84,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +7,7,22913,7,1,6,4,45,3.4,0.34,62,Y,0.36,P,7,P,94,1,2,-55,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +4,2,22920,5,1,2,3,31,3.4,-0.23,69,Y,-1.2,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +7,8,22934,7,2,7,2,36,3.4,0.43,68,Y,0.79,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,2,22960,5,1,7,3,37,3.4,-0.22,60,Y,-0.92,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,3,22992,5,2,7,4,43,3.4,-0.11,68,Y,-0.6,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +6,8,23005,6,2,7,4,36.5,3.4,0.16,70,Y,0.68,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,758.4210345,g 700+,g 700-760,0.99846447,3.4 +,,23010,,2,7,1,38,3.4,,69,Y,,F,7,F,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,2,23012,3,2,7,1,40,3.4,-0.52,57,Y,-0.9,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,10,23013,9,2,7,1,42,3.4,1.13,69,Y,1.31,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +8,7,23018,8,1,7,5,41,3.4,0.85,68,Y,0.52,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +,,23057,7,2,7,4,36,3.4,0.3,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,9,23067,9,1,7,1,40,3.4,0.94,69,Y,1.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,6,23073,5,2,7,5,39,3.4,-0.16,68,Y,0.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,2,23089,2,1,7,4,30.5,3.4,-1.17,70,Y,-0.97,F,7,F,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,663.6841965,f 640-700,f 640-700,0.99846447,3.4 +10,10,23101,10,1,7,1,41,3.4,1.6,70,Y,1.5,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +7,8,23106,7,1,7,3,34,3.4,0.51,69,Y,0.76,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +3,3,23119,4,1,7,3,31,3.4,-0.46,69,Y,-0.59,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +5,1,23174,5,2,6,3,26.5,3.4,-0.03,70,Y,-1.44,F,7,F,94,1,2,-63,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,600.5263045,e 580-640,e 580-640,0.99846447,3.4 +9,6,23177,9,1,7,2,31,3.4,0.97,44,Y,0.02,P,2,P,96,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,671.578933,f 640-700,f 640-700,0.99846447,3.4 +3,7,23189,3,1,7,5,43,3.4,-0.6,69,Y,0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +6,4,23209,6,1,7,4,38,3.4,0.09,65,Y,-0.3,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,7,23224,3,1,7,1,29,3.4,-0.52,64,Y,0.53,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,639.999987,e 580-640,e 580-640,0.99846447,3.4 +4,2,23232,4,1,7,3,32.5,3.4,-0.31,68,Y,-1.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +8,6,23240,8,1,7,4,32,3.4,0.61,67,Y,0.1,F,7,F,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +,,23258,,1,2,6,30,3.4,,69,Y,,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,1,655.78946,f 640-700,f 640-700,0.99846447,3.4 +9,9,23263,9,2,7,5,38,3.4,1.3,69,Y,1.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,9,23271,9,1,7,3,32,3.4,1.03,66,Y,1.16,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,3,23282,5,2,7,3,35,3.4,-0.17,69,Y,-0.77,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,3,23295,5,2,6,5,37,3.4,-0.12,67,Y,-0.57,P,2,P,94,1,3,-65,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,7,23340,5,2,7,1,33,3.4,0.03,68,Y,0.38,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +2,4,23364,2,1,7,4,33,3.4,-1,68,Y,-0.48,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,7,23386,3,1,7,3,33,3.4,-0.6,66,Y,0.43,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,9,23407,9,2,7,1,43,3.4,1.06,69,Y,1.22,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +8,8,23420,8,2,7,5,36,3.4,0.82,67,Y,0.82,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +1,1,23428,1,1,7,3,32,3.4,-1.78,62,Y,-1.55,P,7,P,94,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,3,23443,3,2,7,4,44,3.4,-0.64,69,Y,-0.84,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +5,4,23479,5,1,2,4,41,3.4,0.01,69,Y,-0.37,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +6,6,23536,7,2,7,3,37,3.4,0.26,56,Y,-0.01,P,7,P,93,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +5,6,23558,5,2,7,1,47,3.4,-0.06,69,Y,0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,924.210501,g 700+,i 820+,0.99846447,3.4 +2,2,23570,2,2,2,5,39,3.4,-1.03,69,Y,-1.23,P,7,P,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,4,23596,6,2,7,4,36,3.4,0.05,63,Y,-0.52,F,2,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +6,5,23597,7,2,7,3,35,3.4,0.3,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,8,23620,8,1,7,1,34,3.4,0.71,69,Y,0.61,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +10,10,23638,10,2,7,1,38,3.4,1.46,65,Y,2.03,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,23650,10,1,7,3,41,3.4,1.93,67,Y,1.85,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +,,23681,2,2,2,5,42,3.4,-1.21,69,X,,P,7,P,95,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +4,8,23705,5,2,7,3,39,3.4,-0.23,69,Y,0.63,P,7,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,1,23711,1,1,7,1,30,3.4,-2.02,69,Y,-1.7,P,2,P,95,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.78946,f 640-700,f 640-700,0.99846447,3.4 +1,1,23735,1,2,7,2,25,3.4,-1.76,65,Y,-1.62,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,576.842095,d 520-580,d 520-580,0.99846447,3.4 +6,7,23740,6,2,7,1,36,3.4,0.14,62,Y,0.31,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,23749,,1,7,5,37,3.4,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,23769,3,2,7,5,45,3.4,-0.69,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +3,5,23774,4,1,7,5,33,3.4,-0.49,55,Y,-0.18,P,7,P,94,2,2,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,8,23819,9,2,7,2,37,3.4,0.86,60,Y,0.72,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,9,23820,7,1,7,1,42,3.4,0.48,69,Y,1.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +6,4,23880,6,1,7,4,41,3.4,0.08,67,Y,-0.37,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +2,4,23885,3,2,7,4,43,3.4,-0.77,67,Y,-0.49,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +10,10,23889,10,2,7,3,34,3.4,1.7,69,Y,1.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,10,23909,9,1,7,3,38,3.4,1.23,67,Y,1.4,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,4,23910,2,1,7,1,41,3.4,-0.86,69,Y,-0.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +5,3,23912,5,1,7,3,29,3.4,-0.03,57,Y,-0.78,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.999987,e 580-640,e 580-640,0.99846447,3.4 +8,8,23922,8,2,7,3,39,3.4,0.75,69,Y,0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,2,23956,2,2,7,1,40,3.4,-1,56,Y,-0.9,P,7,P,94,1,1,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,8,23962,10,1,7,5,46,3.4,1.51,68,Y,0.72,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +5,5,23966,5,2,7,2,34,3.4,-0.09,68,Y,-0.18,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +2,1,23984,2,2,2,1,36,3.4,-0.99,66,Y,-1.52,F,7,P,95,1,2,-59,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,9,24006,9,1,7,1,37,3.4,1.24,65,Y,1.25,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,9,24014,10,2,7,3,39,3.4,1.31,68,Y,0.87,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +7,8,24025,8,2,7,3,37,3.4,0.56,48,Y,0.66,P,2,P,96,2,3,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,4,24027,1,1,7,3,34,3.4,-1.41,69,Y,-0.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +3,4,24031,4,2,4,1,33,3.4,-0.49,68,Y,-0.34,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,8,24043,8,1,7,1,44,3.4,0.59,63,Y,0.8,P,7,P,95,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +10,9,24112,10,1,7,5,44,3.4,1.53,69,Y,1.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,876.842082,g 700+,i 820+,0.99846447,3.4 +5,7,24116,5,2,7,2,39,3.4,-0.11,68,Y,0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,797.894717,g 700+,h 760-820,0.99846447,3.4 +2,1,24118,2,2,7,4,35.5,3.4,-0.85,69,Y,-1.37,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.6315615,g 700+,g 700-760,0.99846447,3.4 +2,4,24120,2,2,7,4,37,3.4,-0.89,54,Y,-0.48,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,4,24122,4,2,7,1,45,3.4,-0.23,68,Y,-0.38,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +5,3,24138,5,1,7,5,39,3.4,-0.06,69,Y,-0.71,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,7,24157,5,1,7,1,40,3.4,-0.18,69,Y,0.53,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,24173,10,2,7,1,46,3.4,1.93,64,Y,1.84,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +10,10,24179,10,1,7,5,40,3.4,1.68,71,Y,1.8,P,7,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,4,24184,2,1,7,1,35.5,3.4,-1.15,69,Y,-0.35,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.6315615,g 700+,g 700-760,0.99846447,3.4 +5,6,24189,5,2,7,1,35,3.4,-0.03,68,Y,0.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,10,24227,10,2,7,1,35,3.4,2.08,53,Y,1.61,P,2,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +3,3,24231,3,1,7,1,41,3.4,-0.55,53,Y,-0.58,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +3,3,24251,3,2,3,4,30,3.4,-0.52,69,Y,-0.69,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,655.78946,f 640-700,f 640-700,0.99846447,3.4 +1,1,24256,1,1,4,5,31,3.4,-1.65,70,Y,-1.73,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,671.578933,f 640-700,f 640-700,0.99846447,3.4 +10,10,24270,10,2,7,3,43,3.4,1.93,69,Y,2.3,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,861.052609,g 700+,i 820+,0.99846447,3.4 +10,6,24290,10,2,7,3,35,3.4,1.47,69,Y,0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +9,7,24300,9,2,2,4,44,3.4,0.87,68,Y,0.33,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +6,7,24331,7,2,7,1,30,3.4,0.32,69,Y,0.43,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.78946,f 640-700,f 640-700,0.99846447,3.4 +9,8,24365,9,2,7,1,41,3.4,1.28,68,Y,0.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +9,10,24379,9,1,7,4,34.5,3.4,1.16,68,Y,1.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.8420885,g 700+,g 700-760,0.99846447,3.4 +10,10,24410,10,2,7,1,38,3.4,2.16,69,Y,1.93,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +,,24412,,2,7,1,34,3.4,,58,Y,,F,7,F,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,24414,,1,7,3,42,3.4,,69,Y,0.89,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +2,4,24416,2,2,7,1,42,3.4,-0.88,68,Y,-0.49,P,2,P,94,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +1,3,24422,1,1,7,3,28.5,3.4,-1.32,68,Y,-0.68,F,7,P,95,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +6,6,24436,6,1,7,5,47,3.4,0.31,69,Y,0.19,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +6,3,24450,6,2,7,3,32,3.4,0.22,64,Y,-0.67,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +7,8,24499,7,1,7,4,39,3.4,0.32,61,Y,0.67,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,2,24500,6,2,6,3,32,3.4,0.2,69,Y,-1.13,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +7,9,24511,7,1,7,4,40,3.4,0.49,69,Y,0.97,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,4,24516,5,2,7,1,40,3.4,0.01,67,Y,-0.35,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +9,9,24517,9,2,7,3,37,3.4,1.22,69,Y,1.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +10,9,24525,10,2,7,1,41,3.4,1.93,70,Y,1.17,P,7,P,94,1,,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +,,24551,,2,7,5,39,3.4,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,24564,10,1,7,1,37,3.4,1.42,48,Y,1.84,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,7,24566,7,1,7,1,38,3.4,0.46,69,Y,0.34,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,7,24568,4,1,7,3,35,3.4,-0.26,68,Y,0.34,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,6,24588,5,2,7,3,34,3.4,-0.15,65,Y,0.13,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +8,7,24606,8,1,7,3,35,3.4,0.83,67,Y,0.29,P,2,P,96,2,3,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,6,24613,4,1,7,6,35,3.4,-0.33,67,Y,0.07,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,3,24642,5,2,7,2,29,3.4,-0.17,69,Y,-0.79,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +6,5,24669,6,2,7,5,45,3.4,0.12,68,Y,0,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +6,6,24674,6,1,7,1,32,3.4,0.13,46,Y,0.2,P,2,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +6,7,24675,6,2,7,4,45,3.4,0.17,68,Y,0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +7,7,24680,7,1,7,3,37,3.4,0.44,69,Y,0.36,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,8,24683,10,2,7,3,42,3.4,1.29,58,Y,0.63,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +4,5,24685,4,1,7,3,38,3.4,-0.35,69,Y,-0.1,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,8,24688,7,2,7,4,37,3.4,0.37,54,Y,0.61,P,2,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.315771,g 700+,h 760-820,0.99846447,3.4 +2,1,24724,2,1,7,4,38.5,3.4,-0.97,64,Y,-1.55,F,7,P,96,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,789.9999805,g 700+,h 760-820,0.99846447,3.4 +5,2,24736,5,2,7,5,45,3.4,-0.15,67,Y,-0.88,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +6,5,24755,6,2,4,5,45,3.4,0.1,69,Y,-0.05,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +7,8,24757,7,2,7,4,45,3.4,0.34,69,Y,0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,892.631555,g 700+,i 820+,0.99846447,3.4 +5,6,24774,5,2,7,1,37,3.4,0.01,69,Y,0.17,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,5,24777,7,1,2,3,26,3.4,0.34,69,Y,-0.11,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,592.631568,e 580-640,e 580-640,0.99846447,3.4 +9,9,24815,9,2,7,1,44,3.4,1.18,61,Y,0.97,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +2,3,24822,2,1,7,3,31.5,3.4,-0.92,47,Y,-0.68,P,2,P,94,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +3,5,24831,3,1,7,3,38,3.4,-0.67,69,Y,-0.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,3,24833,4,1,2,4,44,3.4,-0.44,68,Y,-0.59,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +10,10,24844,10,2,7,1,42,3.4,1.39,68,Y,1.37,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +4,4,24880,5,1,1,1,38,3.4,-0.22,69,Y,-0.52,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,24894,6,2,7,5,42,3.4,0.08,70,Y,-0.17,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,24898,10,2,7,5,45,3.4,1.99,66,Y,2.13,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +4,4,24899,5,2,7,2,34,3.4,-0.25,,Y,-0.42,F,7,P,95,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +4,5,24924,4,2,7,4,44,3.4,-0.38,66,Y,-0.2,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +1,2,24930,1,1,7,4,31.5,3.4,-1.76,68,Y,-1.16,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,679.4736695,f 640-700,f 640-700,0.99846447,3.4 +1,1,24947,1,2,7,3,35,3.4,-1.32,67,Y,-1.41,F,1,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,6,24991,4,2,3,3,34,3.4,-0.29,69,Y,0.1,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,10,25028,9,1,7,4,39,3.4,1.12,49,Y,1.5,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,25040,,1,2,1,40,3.4,,68,Y,,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,6,25045,6,2,7,1,48,3.4,0.14,68,Y,0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,939.999974,g 700+,i 820+,0.99846447,3.4 +10,10,25053,10,1,7,3,38,3.4,2.04,66,Y,2.18,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,6,25067,8,2,7,3,35.5,3.4,0.75,68,Y,0.11,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.6315615,g 700+,g 700-760,0.99846447,3.4 +6,4,25070,6,1,7,1,35,3.4,0.28,68,Y,-0.48,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,8,25081,10,2,7,3,40,3.4,1.88,69,Y,0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,7,25112,6,1,7,3,34,3.4,0.03,69,Y,0.38,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +7,7,25115,7,2,7,3,35,3.4,0.51,68,Y,0.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +10,9,25120,10,1,7,1,34.5,3.4,1.96,65,Y,0.89,P,2,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.8420885,g 700+,g 700-760,0.99846447,3.4 +3,4,25125,3,2,7,1,40,3.4,-0.67,69,Y,-0.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +1,1,25131,1,1,7,4,28,3.4,-1.42,69,Y,-1.85,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,624.210514,e 580-640,e 580-640,0.99846447,3.4 +7,7,25133,8,1,7,5,45,3.4,0.62,69,Y,0.43,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +7,5,25156,8,2,7,2,33,3.4,0.53,66,Y,-0.28,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.157879,g 700+,g 700-760,0.99846447,3.4 +4,7,25163,5,2,7,3,39,3.4,-0.2,67,Y,0.3,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,10,25169,8,2,7,4,36,3.4,0.61,69,Y,1.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,2,25174,5,2,7,1,38,3.4,-0.06,68,Y,-1.09,F,7,F,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +4,2,25184,4,1,2,3,35.5,3.4,-0.42,68,Y,-1.01,F,7,P,95,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,742.6315615,g 700+,g 700-760,0.99846447,3.4 +8,6,25209,8,2,7,1,44,3.4,0.64,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +4,3,25244,4,1,7,4,41,3.4,-0.27,69,Y,-0.58,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +5,8,25260,5,1,7,3,33,3.4,-0.05,68,Y,0.55,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,7,25276,8,2,7,3,39,3.4,0.59,67,Y,0.51,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +1,4,25305,1,1,7,1,42,3.4,-1.28,69,Y,-0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +5,4,25333,5,2,7,1,42,3.4,-0.06,68,Y,-0.47,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +5,4,25362,6,1,7,4,38,3.4,0.02,69,Y,-0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,782.105244,g 700+,h 760-820,0.99846447,3.4 +8,10,25376,9,2,7,3,36,3.4,0.86,70,Y,1.37,P,2,P,94,1,3,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,4,25378,5,2,7,3,33,3.4,-0.13,64,Y,-0.51,P,2,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +8,6,25390,8,2,7,3,32,3.4,0.65,66,Y,0.09,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,9,25396,10,2,7,1,45,3.4,1.4,64,Y,1.04,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +10,10,25423,10,1,7,3,30,3.4,1.52,69,Y,2.05,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +6,4,25437,6,1,7,1,38,3.4,0.2,69,Y,-0.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +3,1,25461,3,1,3,1,31,3.4,-0.58,69,Y,-1.45,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,671.578933,f 640-700,f 640-700,0.99846447,3.4 +2,3,25471,2,1,7,4,35,3.4,-1.07,65,Y,-0.76,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,8,25503,7,2,7,3,40,3.4,0.47,68,Y,0.85,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,25512,10,1,7,3,30,3.4,1.56,69,Y,1.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +,,25523,,2,3,5,36,3.4,,68,Y,-0.92,P,7,P,95,1,5,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,8,25525,7,1,7,1,29,3.4,0.54,68,Y,0.82,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,639.999987,e 580-640,e 580-640,0.99846447,3.4 +,,25538,7,1,7,5,45,3.4,0.43,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +8,8,25559,8,1,7,1,41,3.4,0.73,69,Y,0.68,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +9,10,25596,9,2,7,3,37,3.4,0.94,68,Y,1.6,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +4,5,25598,4,2,7,2,27,3.4,-0.34,68,Y,-0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,608.421041,e 580-640,e 580-640,0.99846447,3.4 +7,7,25607,7,2,7,1,32.5,3.4,0.5,68,Y,0.43,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,695.2631425,f 640-700,f 640-700,0.99846447,3.4 +4,8,25618,5,1,7,3,34,3.4,-0.19,69,Y,0.57,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +6,5,25628,6,2,7,1,41,3.4,0.27,68,Y,-0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +,,25637,10,1,7,1,40,3.4,1.44,68,X,,P,2,P,96,1,2,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +5,6,25652,5,2,7,4,46,3.4,-0.16,69,Y,0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.421028,g 700+,i 820+,0.99846447,3.4 +6,6,25653,6,1,7,1,45,3.4,0.09,68,Y,0.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,892.631555,g 700+,i 820+,0.99846447,3.4 +7,5,25667,7,2,7,4,33,3.4,0.46,69,Y,-0.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,7,25680,7,2,7,3,39,3.4,0.42,55,Y,0.35,P,7,P,93,1,1,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,8,25693,5,2,7,4,41,3.4,-0.23,69,Y,0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +5,6,25710,5,1,7,3,35,3.4,-0.13,68,Y,0.12,P,2,P,95,1,2,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,7,25718,6,2,7,1,32,3.4,0.22,69,Y,0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +2,1,25734,3,2,2,1,23,3.4,-0.82,69,Y,-1.68,F,7,P,95,1,,-62,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,545.263149,d 520-580,d 520-580,0.99846447,3.4 +3,4,25746,3,1,3,1,29,3.4,-0.6,69,Y,-0.52,P,2,P,94,1,2,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,639.999987,e 580-640,e 580-640,0.99846447,3.4 +10,10,25769,10,1,7,1,42,3.4,1.39,68,Y,1.47,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +9,8,25777,9,1,7,1,46,3.4,1.02,69,Y,0.63,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +7,7,25780,7,1,2,1,35,3.4,0.55,69,Y,0.41,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,6,25792,7,2,7,3,39,3.4,0.26,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,25826,10,2,7,4,44,3.4,1.33,69,Y,1.34,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +9,9,25840,9,1,7,1,44,3.4,1.07,62,Y,0.9,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,876.842082,g 700+,i 820+,0.99846447,3.4 +,,25842,9,2,7,3,36.5,3.4,1.08,65,X,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.4210345,g 700+,g 700-760,0.99846447,3.4 +10,10,25849,10,1,7,1,40,3.4,1.35,60,Y,1.65,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,25883,10,1,7,1,36,3.4,1.5,65,Y,2.04,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,4,25902,6,2,7,3,38,3.4,0.02,69,Y,-0.29,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +,,25908,,1,7,1,39,3.4,,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +9,7,25915,9,2,7,1,38,3.4,1.15,68,Y,0.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +9,9,25929,9,2,7,1,36,3.4,1.16,69,Y,1.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +10,10,25955,10,1,7,3,40,3.4,1.43,69,Y,2.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +10,10,25968,10,1,7,3,41,3.4,1.35,69,Y,1.89,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +6,5,25974,7,1,7,3,35,3.4,0.3,68,Y,-0.14,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,4,25992,5,1,7,3,38,3.4,-0.21,69,Y,-0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,8,25993,7,2,7,1,38,3.4,0.36,65,Y,0.73,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,26021,5,1,7,4,37.5,3.4,-0.1,63,Y,-0.17,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.2105075,g 700+,h 760-820,0.99846447,3.4 +1,3,26034,1,1,7,1,46,3.4,-1.65,57,Y,-0.72,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,908.421028,g 700+,i 820+,0.99846447,3.4 +3,3,26036,3,2,7,2,34,3.4,-0.64,64,Y,-0.64,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,26038,,2,7,1,36,3.4,,69,Y,,F,7,P,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +2,2,26047,2,2,7,1,39,3.4,-0.84,66,Y,-1.16,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +6,8,26067,6,2,7,2,29,3.4,0.11,69,Y,0.62,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.999987,e 580-640,e 580-640,0.99846447,3.4 +8,8,26073,8,1,7,3,42,3.4,0.72,69,Y,0.66,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +,,26123,,1,7,6,33,3.4,,55,Y,,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,703.157879,g 700+,g 700-760,0.99846447,3.4 +3,3,26126,3,2,7,3,28,3.4,-0.63,62,Y,-0.77,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.210514,e 580-640,e 580-640,0.99846447,3.4 +2,2,26132,2,1,6,3,38,3.4,-1.01,69,Y,-1.3,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +7,7,26157,7,1,7,3,33,3.4,0.47,,Y,0.27,P,7,P,94,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +5,6,26174,5,2,2,1,39,3.4,-0.11,70,Y,0.22,P,7,P,94,1,4,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +4,4,26220,4,1,7,5,42,3.4,-0.22,65,Y,-0.45,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,845.263136,g 700+,i 820+,0.99846447,3.4 +9,10,26235,9,2,7,1,43,3.4,1.11,69,Y,1.54,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +7,5,26272,7,1,7,3,39,3.4,0.34,58,Y,-0.04,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,797.894717,g 700+,h 760-820,0.99846447,3.4 +8,8,26278,8,1,7,4,41,3.4,0.73,65,Y,0.61,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +10,10,26284,10,1,8,1,38,3.4,1.35,56,Y,1.41,P,7,P,95,2,4,-49,female,1,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,3,26303,5,1,7,3,35,3.4,-0.08,65,Y,-0.64,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +6,5,26313,6,1,7,4,34,3.4,0.08,68,Y,-0.05,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +,,26318,,2,7,5,41,3.4,,60,Y,,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.473663,g 700+,i 820+,0.99846447,3.4 +2,6,26368,2,1,2,4,32,3.4,-0.96,69,Y,0.12,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,687.368406,f 640-700,f 640-700,0.99846447,3.4 +6,4,26370,6,2,7,5,43,3.4,0.25,69,Y,-0.5,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,861.052609,g 700+,i 820+,0.99846447,3.4 +2,7,26371,2,1,7,4,34,3.4,-0.83,64,Y,0.35,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +9,9,26389,9,2,7,3,37.5,3.4,1.1,64,Y,1.14,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.2105075,g 700+,h 760-820,0.99846447,3.4 +6,5,26391,7,1,7,3,28.5,3.4,0.26,68,Y,-0.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,632.1052505,e 580-640,e 580-640,0.99846447,3.4 +5,6,26402,5,2,7,1,37,3.4,-0.11,,Y,0.15,P,7,P,94,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +3,3,26417,3,2,7,1,37,3.4,-0.55,68,Y,-0.68,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +7,7,26428,7,2,7,1,42,3.4,0.52,69,Y,0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +7,7,26441,7,2,8,3,34,3.4,0.31,68,Y,0.33,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +4,4,26450,4,2,7,5,34,3.4,-0.47,68,Y,-0.48,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,718.947352,g 700+,g 700-760,0.99846447,3.4 +1,2,26462,1,1,7,4,43,3.4,-1.4,69,Y,-1.2,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +8,10,26471,8,2,7,4,42.5,3.4,0.71,65,Y,1.35,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.1578725,g 700+,i 820+,0.99846447,3.4 +1,2,26476,1,2,7,4,34,3.4,-1.39,68,Y,-1.23,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,3,26488,5,1,7,3,35,3.4,-0.05,68,Y,-0.73,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +7,7,26508,7,2,7,5,46,3.4,0.6,68,Y,0.28,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +,,26511,7,1,7,3,38,3.4,0.27,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,26514,10,2,7,3,36,3.4,2.21,68,Y,2.11,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +4,3,26548,5,2,7,1,42,3.4,-0.21,58,Y,-0.57,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +4,4,26565,5,1,7,3,33,3.4,-0.23,66,Y,-0.47,P,2,P,95,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,9,26566,9,1,7,3,41,3.4,0.91,66,Y,1.13,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.473663,g 700+,i 820+,0.99846447,3.4 +6,5,26574,6,1,7,5,45,3.4,0.14,63,Y,-0.05,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,892.631555,g 700+,i 820+,0.99846447,3.4 +3,3,26577,3,1,7,1,41,3.4,-0.55,69,Y,-0.71,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +1,1,26590,1,1,3,3,18,3.4,-1.49,69,Y,-1.45,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,466.315784,c 460-520,c 460-520,0.99846447,3.4 +1,1,26601,1,2,7,3,36,3.4,-2.61,67,Y,-1.75,P,2,P,94,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,750.526298,g 700+,g 700-760,0.99846447,3.4 +,,26610,,2,6,5,34,3.4,,68,Y,,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,718.947352,g 700+,g 700-760,0.99846447,3.4 +6,6,26616,6,2,7,2,34,3.4,0.09,56,Y,0.19,F,7,F,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,718.947352,g 700+,g 700-760,0.99846447,3.4 +6,8,26653,6,1,7,3,27,3.4,0.11,64,Y,0.81,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,608.421041,e 580-640,e 580-640,0.99846447,3.4 +4,6,26655,4,1,7,4,44,3.4,-0.39,61,Y,0.03,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,876.842082,g 700+,i 820+,0.99846447,3.4 +8,8,26657,8,1,7,2,30,3.4,0.68,68,Y,0.63,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.78946,f 640-700,f 640-700,0.99846447,3.4 +1,1,26668,1,1,3,4,23,3.4,-1.83,65,Y,-1.89,F,2,F,95,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,545.263149,d 520-580,d 520-580,0.99846447,3.4 +3,4,26679,3,1,2,5,39,3.4,-0.56,69,Y,-0.5,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,797.894717,g 700+,h 760-820,0.99846447,3.4 +,,26705,,1,7,4,41,3.4,,64,Y,,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.473663,g 700+,i 820+,0.99846447,3.4 +4,5,26710,4,1,7,3,35,3.4,-0.37,68,Y,-0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +5,6,26739,6,1,7,3,37,3.4,0.03,64,Y,0.25,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +9,10,26752,9,2,7,4,42,3.4,1.11,66,Y,1.43,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +3,2,26776,3,2,7,1,40,3.4,-0.52,67,Y,-1.15,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,1,26779,4,1,7,3,30,3.4,-0.51,69,Y,-1.54,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,655.78946,f 640-700,f 640-700,0.99846447,3.4 +4,4,26801,4,2,7,1,41,3.4,-0.39,69,Y,-0.51,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +6,9,26806,6,2,7,4,40,3.4,0.25,69,Y,1.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,2,26832,2,2,8,3,19.5,3.4,-0.89,68,Y,-1.17,F,7,P,96,2,5,-61,male,1,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,489.9999935,c 460-520,c 460-520,0.99846447,3.4 +6,6,26881,6,2,7,1,42,3.4,0.24,68,Y,0.06,P,7,P,94,,,-61,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +8,10,26915,8,2,7,1,39.5,3.4,0.87,65,Y,1.41,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.7894535,g 700+,h 760-820,0.99846447,3.4 +2,4,26923,3,2,7,1,41,3.4,-0.75,68,Y,-0.48,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +5,4,26926,6,2,7,4,42,3.4,0.04,63,Y,-0.31,F,7,F,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,845.263136,g 700+,i 820+,0.99846447,3.4 +3,5,26927,3,1,7,4,39,3.4,-0.56,68,Y,-0.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,26935,10,2,7,4,43,3.4,1.78,60,Y,1.73,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +10,10,26936,10,2,7,4,47,3.4,1.92,69,Y,1.46,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,924.210501,g 700+,i 820+,0.99846447,3.4 +4,5,26944,4,1,7,2,36,3.4,-0.4,68,Y,-0.26,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,750.526298,g 700+,g 700-760,0.99846447,3.4 +7,6,26970,7,2,7,3,33,3.4,0.37,70,Y,0.11,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +5,5,26989,6,1,6,3,31,3.4,0.04,67,Y,-0.13,P,7,P,95,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.578933,f 640-700,f 640-700,0.99846447,3.4 +6,6,27007,6,2,7,1,40,3.4,0.14,68,Y,0.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,3,27009,6,2,7,1,40,3.4,0.1,67,Y,-0.67,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,5,27017,6,2,6,3,37,3.4,0.1,69,Y,-0.12,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.315771,g 700+,h 760-820,0.99846447,3.4 +1,1,27041,1,1,7,1,41,3.4,-2.16,65,Y,-2.13,P,2,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.473663,g 700+,i 820+,0.99846447,3.4 +,,27053,,1,7,4,40,3.4,,68,Y,,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +6,7,27059,6,1,7,4,33,3.4,0.1,69,Y,0.29,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.157879,g 700+,g 700-760,0.99846447,3.4 +9,9,27094,9,1,7,4,40,3.4,1.02,65,Y,1.24,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.68419,g 700+,h 760-820,0.99846447,3.4 +8,8,27110,8,2,7,5,37.5,3.4,0.93,67,Y,0.82,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,774.2105075,g 700+,h 760-820,0.99846447,3.4 +7,9,27116,8,1,7,1,47,3.4,0.59,69,Y,1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,924.210501,g 700+,i 820+,0.99846447,3.4 +2,3,27119,2,2,7,1,38,3.4,-0.89,68,Y,-0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.105244,g 700+,h 760-820,0.99846447,3.4 +5,5,27130,5,1,7,1,35,3.4,-0.09,69,Y,-0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.736825,g 700+,g 700-760,0.99846447,3.4 +8,10,27145,8,2,7,1,42,3.4,0.74,66,Y,1.38,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,845.263136,g 700+,i 820+,0.99846447,3.4 +6,8,27151,6,1,7,3,38,3.4,0.09,68,Y,0.55,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,2,27175,2,1,7,3,40,3.4,-0.9,69,Y,-1.02,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,813.68419,g 700+,h 760-820,0.99846447,3.4 +3,4,27180,3,2,7,3,35,3.4,-0.63,69,Y,-0.55,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.736825,g 700+,g 700-760,0.99846447,3.4 +1,1,27182,1,1,3,3,22.5,3.4,-2.33,69,Y,-1.52,F,7,F,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,537.3684125,d 520-580,d 520-580,0.99846447,3.4 +8,8,27191,9,1,7,1,40,3.4,0.88,69,Y,0.84,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +,,27206,,1,7,1,32,3.4,,62,Y,,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.368406,f 640-700,f 640-700,0.99846447,3.4 +10,10,27228,10,2,7,3,42,3.4,2.04,67,Y,2.58,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,845.263136,g 700+,i 820+,0.99846447,3.4 +10,10,27232,10,1,7,5,47,3.4,1.5,64,Y,1.35,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,924.210501,g 700+,i 820+,0.99846447,3.4 +8,7,27247,8,2,7,1,40,3.4,0.87,69,Y,0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.68419,g 700+,h 760-820,0.99846447,3.4 +2,2,27260,2,1,7,3,34,3.4,-0.96,69,Y,-1.14,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +7,5,27272,7,2,7,5,46,3.4,0.41,68,Y,-0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,908.421028,g 700+,i 820+,0.99846447,3.4 +2,2,27279,2,2,7,3,34,3.4,-0.94,65,Y,-1.24,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.947352,g 700+,g 700-760,0.99846447,3.4 +5,6,27280,5,2,7,3,33,3.4,-0.02,69,Y,0.01,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.157879,g 700+,g 700-760,0.99846447,3.4 +7,1,27281,7,2,7,4,39,3.4,0.31,57,Y,-1.44,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,797.894717,g 700+,h 760-820,0.99846447,3.4 +5,6,27296,5,2,8,3,32,3.4,-0.11,66,Y,0.12,P,7,P,94,1,3,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,687.368406,f 640-700,f 640-700,0.99846447,3.4 +3,2,27298,3,1,7,1,39,3.4,-0.59,70,Y,-1.08,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.894717,g 700+,h 760-820,0.99846447,3.4 +10,10,27305,10,2,7,4,43,3.4,2.03,64,Y,1.5,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.052609,g 700+,i 820+,0.99846447,3.4 +3,5,27306,3,2,7,3,38,3.4,-0.61,67,Y,-0.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +10,10,27307,10,2,7,4,35,3.4,1.89,69,Y,1.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.736825,g 700+,g 700-760,0.99846447,3.4 +4,8,27326,4,2,7,3,38,3.4,-0.29,68,Y,0.56,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.105244,g 700+,h 760-820,0.99846447,3.4 +2,1,27338,2,2,7,1,43,3.4,-1.14,69,Y,-1.51,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.052609,g 700+,i 820+,0.99846447,3.4 +10,9,27361,10,2,7,2,36,3.4,1.56,65,Y,1.27,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,750.526298,g 700+,g 700-760,0.99846447,3.4 +5,6,27383,5,1,7,1,36,3.4,-0.09,66,Y,0.04,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,750.526298,g 700+,g 700-760,0.99846447,3.4 +9,9,27386,9,2,7,2,32,3.4,0.94,60,Y,1.12,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,687.368406,f 640-700,f 640-700,0.99846447,3.4 +5,4,27425,6,1,7,1,37,3.4,0.08,69,Y,-0.37,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +6,8,27427,6,1,7,1,37,3.4,0.21,60,Y,0.59,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.315771,g 700+,h 760-820,0.99846447,3.4 +,,27452,,2,7,,28,3.4,-0.43,60,Y,-1.27,P,7,P,94,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,624.210514,e 580-640,e 580-640,0.99846447,3.4 +8,7,7,8,1,7,1,43,3.3,0.67,67,Y,0.34,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +3,2,9,3,1,7,4,41,3.3,-0.67,64,Y,-1.3,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +4,4,12,4,1,7,3,34,3.3,-0.32,68,Y,-0.38,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,19,,1,7,5,33,3.3,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,7,29,8,1,7,3,30,3.3,0.58,68,Y,0.53,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +2,2,65,2,2,7,1,42,3.3,-1.06,67,Y,-1.13,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +7,6,80,8,1,1,2,31,3.3,0.55,64,Y,0.08,P,7,P,94,1,4,-57,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +7,6,87,7,2,7,3,36,3.3,0.45,69,Y,0.23,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,4,92,4,2,7,3,36,3.3,-0.39,68,Y,-0.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,3,102,2,1,7,5,34.5,3.3,-0.95,67,Y,-0.8,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,716.8420885,g 700+,g 700-760,0.9758194,3.3 +9,9,104,9,2,7,2,35,3.3,0.91,68,Y,1.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,2,113,3,1,7,1,42,3.3,-0.64,58,Y,-1.1,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +10,8,178,10,2,7,1,39,3.3,1.34,67,Y,0.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,1,184,2,1,7,1,34,3.3,-0.92,56,Y,-1.86,F,7,F,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +7,6,195,7,1,7,3,34,3.3,0.39,67,Y,0.24,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,3,218,1,2,7,3,42,3.3,-1.59,69,Y,-0.82,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +8,7,233,8,1,7,3,38,3.3,0.61,67,Y,0.4,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,241,10,2,7,1,44,3.3,1.57,65,Y,1.72,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +8,10,242,8,2,7,4,37,3.3,0.82,65,Y,1.52,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,247,1,2,4,1,29,3.3,-1.59,63,Y,-1.42,P,2,P,95,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,629.999987,e 580-640,e 580-640,0.9758194,3.3 +4,5,256,4,1,7,3,32,3.3,-0.37,63,Y,-0.15,F,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,7,282,9,2,7,3,34,3.3,1.19,65,Y,0.44,P,7,P,94,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,3,285,2,1,7,3,42,3.3,-1.13,69,Y,-0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +10,10,293,10,2,7,3,40,3.3,2.15,69,Y,1.84,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,9,296,9,1,7,3,37,3.3,1.04,68,Y,0.97,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,8,318,8,1,7,1,40,3.3,0.86,62,Y,0.78,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,8,364,8,2,7,3,36,3.3,0.53,63,Y,0.58,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,385,1,1,7,3,31.5,3.3,-1.62,58,Y,-1.66,P,7,P,95,2,4,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +5,5,394,5,1,2,1,42,3.3,-0.11,68,Y,-0.22,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +3,2,408,3,1,7,5,36.5,3.3,-0.52,65,Y,-0.85,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,748.4210345,g 700+,g 700-760,0.9758194,3.3 +3,4,416,3,2,7,1,38,3.3,-0.54,69,Y,-0.44,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,10,425,9,2,7,1,39,3.3,1.06,69,Y,1.32,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,9,439,9,1,7,3,39,3.3,1.16,69,Y,1.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +7,2,442,7,2,2,4,34,3.3,0.33,69,Y,-1.01,F,7,F,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,453,10,1,7,4,39,3.3,1.41,69,Y,1.97,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,6,457,6,2,7,1,36,3.3,0.29,67,Y,0.03,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,5,494,6,1,6,4,35,3.3,0.01,64,Y,-0.15,P,2,P,96,2,4,-62,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,3,501,3,2,7,1,37,3.3,-0.56,69,Y,-0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,9,510,8,2,7,3,29,3.3,0.58,68,Y,0.97,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +6,5,514,6,1,7,5,40,3.3,0.13,68,Y,-0.12,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,3,515,6,1,7,3,37,3.3,0.11,69,Y,-0.65,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,6,560,6,2,7,1,39,3.3,0.12,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,6,565,5,2,7,3,36,3.3,-0.17,67,Y,0.19,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,4,578,5,1,3,4,25,3.3,-0.09,68,Y,-0.24,F,7,P,95,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,566.842095,d 520-580,d 520-580,0.9758194,3.3 +3,3,581,4,2,7,3,40,3.3,-0.49,69,Y,-0.56,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,589,10,1,7,1,43,3.3,2.7,,Y,2.5,P,7,P,94,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +2,1,593,2,1,2,1,38,3.3,-0.98,68,Y,-1.76,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,5,633,5,2,7,3,37,3.3,-0.08,69,Y,-0.17,F,7,P,95,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,3,645,3,2,3,1,38,3.3,-0.57,65,Y,-0.67,P,7,P,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,669,10,2,7,3,37,3.3,2.04,68,Y,2.09,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,693,,1,7,5,41,3.3,,59,Y,,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,7,718,9,1,3,3,27,3.3,1.25,68,Y,0.41,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +7,7,722,7,2,7,1,35,3.3,0.48,65,Y,0.36,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,6,756,8,1,7,1,35,3.3,0.76,68,Y,0.29,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,8,792,8,2,7,3,34.5,3.3,0.64,68,Y,0.59,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +6,5,801,6,1,7,1,32,3.3,0.28,62,Y,0,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +4,6,803,4,1,7,1,38,3.3,-0.37,69,Y,0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,4,805,4,2,7,1,33,3.3,-0.33,69,Y,-0.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,4,811,6,1,7,3,35,3.3,0.04,62,Y,-0.3,P,2,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,2,853,4,1,5,4,27.5,3.3,-0.48,68,Y,-0.9,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,606.3157775,e 580-640,e 580-640,0.9758194,3.3 +6,4,874,7,2,7,3,32.3,3.3,0.27,63,Y,-0.48,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.1052479,f 640-700,f 640-700,0.9758194,3.3 +6,7,940,6,2,7,3,36,3.3,0.14,64,Y,0.53,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,953,1,2,7,1,45,3.3,-2.61,69,Y,-3.27,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +2,2,968,2,1,7,5,39,3.3,-0.98,67,Y,-1.03,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,2,980,2,2,7,1,34,3.3,-0.82,69,Y,-1.03,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,1009,9,2,8,5,46,3.3,1.05,69,Y,,P,7,P,95,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,898.421028,g 700+,i 820+,0.9758194,3.3 +10,10,1021,10,1,7,4,36,3.3,2.42,64,Y,2.47,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,5,1022,1,2,7,4,34,3.3,-1.56,56,Y,-0.02,P,7,P,95,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,708.947352,g 700+,g 700-760,0.9758194,3.3 +7,8,1027,7,2,7,1,42,3.3,0.53,68,Y,0.62,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +3,3,1052,4,2,2,4,44,3.3,-0.49,69,Y,-0.6,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +,,1096,,2,7,5,42,3.3,,68,Y,,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +5,5,1098,6,2,7,1,36,3.3,0.06,42,Y,-0.15,P,7,P,94,1,2,-35,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,4,1107,4,1,7,3,35.5,3.3,-0.28,68,Y,-0.42,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +8,7,1117,8,1,7,4,38,3.3,0.74,69,Y,0.45,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,6,1120,8,1,7,3,36,3.3,0.57,69,Y,0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,7,1126,6,1,7,4,41,3.3,0.06,63,Y,0.32,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,6,1148,7,1,7,3,35,3.3,0.4,59,Y,0.2,P,7,P,95,2,3,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,7,1159,5,2,7,3,31,3.3,-0.2,67,Y,0.45,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +8,7,1163,8,1,7,1,46,3.3,0.67,63,Y,0.41,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +9,9,1184,9,1,7,1,44,3.3,1.02,69,Y,0.92,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +4,3,1201,4,2,7,2,37,3.3,-0.42,68,Y,-0.81,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,8,1203,8,1,7,3,38,3.3,0.77,66,Y,0.61,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,3,1212,4,2,7,3,32,3.3,-0.4,68,Y,-0.79,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,8,1220,9,2,8,1,42,3.3,1.22,68,Y,0.87,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +9,9,1230,9,2,7,4,43,3.3,0.87,62,Y,0.92,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +7,8,1257,7,1,7,5,37,3.3,0.55,62,Y,0.57,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,2,1267,4,1,7,3,35,3.3,-0.32,69,Y,-1.17,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,5,1287,6,2,7,3,34.5,3.3,0.2,65,Y,-0.06,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +,,1299,,2,2,3,44,3.3,,53,Y,,P,7,P,95,2,4,-46,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,866.842082,g 700+,i 820+,0.9758194,3.3 +7,5,1320,7,2,7,4,38,3.3,0.37,69,Y,-0.03,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,3,1339,5,1,7,3,30,3.3,-0.04,69,Y,-0.76,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +5,5,1360,5,1,7,3,36,3.3,-0.17,69,Y,-0.27,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,6,1367,6,1,7,3,36,3.3,0.06,65,Y,0.02,P,7,P,95,2,2,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +8,7,1370,8,2,7,5,42,3.3,0.77,68,Y,0.37,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +9,8,1375,9,2,7,1,46,3.3,1.05,68,Y,0.56,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +9,9,1386,10,2,7,3,36,3.3,1.28,68,Y,0.88,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,4,1405,4,1,7,1,35,3.3,-0.32,69,Y,-0.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,5,1426,5,1,7,3,27,3.3,-0.11,69,Y,-0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +7,8,1429,8,2,7,3,39,3.3,0.55,70,Y,0.61,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,10,1441,9,2,7,1,37,3.3,1.22,67,Y,1.32,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,6,1448,6,2,7,1,44,3.3,0.17,69,Y,0.04,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +3,5,1464,3,1,7,5,39,3.3,-0.59,69,Y,-0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,3,1472,2,2,7,3,35,3.3,-1.06,69,Y,-0.77,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,8,1476,9,2,7,3,37,3.3,0.84,67,Y,0.55,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,9,1485,7,2,7,3,33,3.3,0.5,66,Y,1.07,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,6,1489,7,2,7,1,39,3.3,0.3,63,Y,0.09,P,2,P,96,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,6,1493,4,1,7,3,33,3.3,-0.3,69,Y,0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,7,1497,8,2,7,1,29,3.3,0.8,68,Y,0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,629.999987,e 580-640,e 580-640,0.9758194,3.3 +3,5,1509,4,1,7,3,35,3.3,-0.43,66,Y,-0.18,P,2,P,96,2,3,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +,,1517,6,2,7,5,44,3.3,0.06,65,Y,,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +4,4,1559,4,2,7,3,30,3.3,-0.32,67,Y,-0.54,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +1,2,1576,1,2,7,1,37,3.3,-1.7,59,Y,-1.18,F,2,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,1616,10,2,7,1,40,3.3,1.39,64,Y,1.3,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,4,1620,4,2,7,4,40,3.3,-0.33,66,Y,-0.26,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,2,1639,5,1,2,1,33,3.3,-0.18,70,Y,-1.09,P,7,P,94,1,4,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,5,1647,6,2,7,1,48,3.3,0.06,67,Y,-0.08,P,2,P,94,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,929.999974,g 700+,i 820+,0.9758194,3.3 +10,10,1660,10,1,7,3,43,3.3,1.58,65,Y,2.2,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +8,9,1681,8,2,7,3,40,3.3,0.59,69,Y,0.87,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,5,1691,7,2,7,4,41,3.3,0.44,66,Y,-0.03,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,9,1695,9,2,7,1,39,3.3,1.03,69,Y,1.05,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,1,1707,2,1,7,5,38,3.3,-0.87,62,Y,-1.73,P,2,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,6,1711,6,1,7,3,44,3.3,0.17,68,Y,0.22,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,866.842082,g 700+,i 820+,0.9758194,3.3 +6,5,1721,6,2,7,3,40,3.3,0.19,68,Y,-0.2,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,9,1722,9,1,7,4,43,3.3,0.87,67,Y,0.96,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +5,4,1724,5,2,7,1,34.5,3.3,-0.03,69,Y,-0.34,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.8420885,g 700+,g 700-760,0.9758194,3.3 +1,2,1736,1,2,3,2,24,3.3,-1.39,64,Y,-1.01,P,2,P,95,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,551.052622,d 520-580,d 520-580,0.9758194,3.3 +6,7,1789,7,1,7,1,37,3.3,0.32,69,Y,0.53,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,4,1795,4,2,7,4,36,3.3,-0.38,69,Y,-0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,5,1835,3,2,7,4,46,3.3,-0.76,66,Y,-0.17,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +8,7,1850,8,2,7,1,45,3.3,0.7,61,Y,0.41,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +3,3,1858,4,1,7,1,41,3.3,-0.47,66,Y,-0.57,F,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,9,1866,10,2,7,1,30,3.3,1.33,62,Y,1.14,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,645.78946,f 640-700,f 640-700,0.9758194,3.3 +2,1,1868,2,2,4,5,32,3.3,-1.01,67,Y,-1.64,F,7,F,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,6,677.368406,f 640-700,f 640-700,0.9758194,3.3 +6,5,1891,6,2,2,2,34,3.3,0.18,69,Y,-0.31,F,7,F,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +4,5,1900,5,1,7,1,37,3.3,-0.21,68,Y,-0.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,1907,10,2,7,4,33,3.3,2.15,69,Y,2.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,2,1912,3,2,3,3,26,3.3,-0.75,65,Y,-1.13,P,7,P,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,582.631568,e 580-640,e 580-640,0.9758194,3.3 +5,3,1916,5,2,7,3,36,3.3,-0.1,69,Y,-0.65,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,1934,10,2,7,1,45,3.3,1.9,63,Y,1.76,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +10,10,1943,10,1,7,3,33,3.3,1.51,64,Y,1.57,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +,,1954,,1,7,5,38,3.3,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,6,1966,5,2,7,5,45,3.3,-0.07,69,Y,0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +8,7,1969,8,1,7,3,33,3.3,0.72,65,Y,0.31,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +1,1,1990,1,1,7,3,34,3.3,-1.44,65,Y,-1.87,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,1994,6,1,7,3,38,3.3,0.04,46,Y,,P,2,P,95,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,6,2005,5,2,7,1,39,3.3,-0.06,64,Y,0.05,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,5,2097,4,2,7,2,27.5,3.3,-0.47,69,Y,-0.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,606.3157775,e 580-640,e 580-640,0.9758194,3.3 +5,3,2121,5,2,7,3,40,3.3,-0.12,69,Y,-0.72,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,5,2134,4,1,7,1,39,3.3,-0.23,69,Y,-0.24,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,9,2154,9,2,7,3,40,3.3,1.03,68,Y,1.06,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,7,2157,9,1,7,1,41,3.3,0.99,67,Y,0.43,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,8,2163,9,2,6,2,31.5,3.3,1.07,70,Y,0.77,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +3,3,2181,4,2,7,1,36,3.3,-0.51,69,Y,-0.81,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,9,2182,9,1,7,3,36,3.3,1.04,68,Y,1.12,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,3,2197,5,1,3,6,17,3.3,-0.26,69,Y,-0.83,F,7,F,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,440.526311,b 400-460,b 400-460,0.9758194,3.3 +1,1,2199,1,1,7,2,29,3.3,-1.42,69,Y,-1.32,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +,,2213,2,2,4,5,40,3.3,-1.21,67,Y,,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,7,2229,6,2,7,3,33,3.3,0.2,70,Y,0.43,P,7,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,6,2256,6,1,7,3,30.5,3.3,0.19,68,Y,0.23,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +2,3,2277,2,2,6,4,34,3.3,-0.86,44,Y,-0.61,P,2,P,96,1,4,-42,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,2311,10,1,7,5,37,3.3,2.04,68,Y,1.55,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,4,2312,1,1,7,2,24,3.3,-2.1,42,Y,-0.49,F,7,F,95,2,3,-35,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,551.052622,d 520-580,d 520-580,0.9758194,3.3 +6,5,2316,6,2,7,3,39,3.3,0.15,66,Y,-0.11,P,2,P,94,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,5,2326,3,2,7,3,37,3.3,-0.58,68,Y,-0.07,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,2328,,1,7,4,43,3.3,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +9,9,2354,9,2,7,1,37,3.3,1.22,68,Y,0.99,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,4,2398,2,1,7,1,34,3.3,-1.03,60,Y,-0.53,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,2412,10,2,7,4,44,3.3,1.73,66,Y,1.3,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +1,4,2419,1,1,7,3,32,3.3,-1.58,69,Y,-0.43,F,7,F,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,5,2429,5,1,7,1,39,3.3,0.01,57,Y,-0.17,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,1,2451,1,2,7,3,31,3.3,-1.46,69,Y,-1.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,10,2453,9,2,7,3,34,3.3,1.22,69,Y,1.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,2478,,2,7,1,41,3.3,,67,Y,,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,9,2479,7,1,7,1,37.5,3.3,0.52,62,Y,0.95,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.2105075,g 700+,h 760-820,0.9758194,3.3 +1,1,2481,1,2,7,3,35,3.3,-1.81,66,Y,-1.87,F,7,F,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,1,2483,3,2,7,2,26,3.3,-0.66,68,Y,-1.35,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,582.631568,e 580-640,e 580-640,0.9758194,3.3 +,,2502,8,2,7,3,36,3.3,0.72,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,2504,1,1,7,3,35,3.3,-1.52,69,Y,-1.42,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,8,2505,7,1,7,4,37,3.3,0.44,69,Y,0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,2,2514,3,1,7,3,37,3.3,-0.62,69,Y,-1.18,F,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,7,2544,9,2,7,1,35.5,3.3,1.03,68,Y,0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.6315615,g 700+,g 700-760,0.9758194,3.3 +2,1,2547,3,2,7,2,26.5,3.3,-0.75,69,Y,-1.44,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,590.5263045,e 580-640,e 580-640,0.9758194,3.3 +10,10,2560,10,2,7,1,34,3.3,1.83,67,Y,1.7,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,9,2569,10,2,8,6,20,3.3,1.42,69,Y,1.07,P,2,P,94,1,3,-67,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,1,487.89473,c 460-520,c 460-520,0.9758194,3.3 +6,8,2605,6,2,7,3,35,3.3,0.11,67,Y,0.55,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,5,2607,7,2,7,3,31,3.3,0.51,69,Y,-0.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +,,2673,,1,7,5,41,3.3,,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,2,2677,1,1,7,1,33.5,3.3,-1.5,52,Y,-1.31,F,7,P,95,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,701.0526155,g 700+,g 700-760,0.9758194,3.3 +9,8,2682,10,2,7,3,39,3.3,1.27,63,Y,0.84,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,9,2687,9,1,7,3,43,3.3,1.08,63,Y,0.97,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +5,3,2691,5,2,7,1,37,3.3,-0.07,69,Y,-0.6,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,2714,1,1,7,1,41,3.3,-1.81,64,Y,-1.76,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,9,2726,7,2,7,3,42,3.3,0.51,63,Y,1.15,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +7,9,2742,8,2,7,3,37,3.3,0.56,67,Y,1.22,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,4,2767,4,2,6,4,41,3.3,-0.49,68,Y,-0.51,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,4,2813,3,1,7,1,36,3.3,-0.81,64,Y,-0.29,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,5,2827,3,2,7,3,37,3.3,-0.82,62,Y,-0.06,P,2,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,5,2834,5,2,2,3,39,3.3,-0.21,69,Y,-0.26,F,7,P,95,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,8,2840,10,1,7,3,45,3.3,1.34,66,Y,0.68,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,882.631555,g 700+,i 820+,0.9758194,3.3 +9,9,2856,9,1,7,4,38,3.3,1.09,68,Y,1.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,8,2878,8,1,7,2,36,3.3,0.67,68,Y,0.61,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,3,2908,4,2,7,1,30,3.3,-0.31,69,Y,-0.81,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,645.78946,f 640-700,f 640-700,0.9758194,3.3 +4,6,2919,4,1,7,4,35,3.3,-0.32,63,Y,0.17,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,4,2939,9,2,7,3,28.5,3.3,1.03,70,Y,-0.49,P,7,P,94,1,1,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,622.1052505,e 580-640,e 580-640,0.9758194,3.3 +10,9,2963,10,1,8,3,37,3.3,1.49,69,Y,1.28,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,3,2978,3,2,7,1,35,3.3,-0.69,68,Y,-0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +,,2984,,2,7,4,41,3.3,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,10,2987,10,1,7,1,40,3.3,1.49,68,Y,1.54,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,9,2988,10,1,7,4,43,3.3,1.82,63,Y,1.22,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +10,10,3031,10,1,7,2,35,3.3,1.88,68,Y,2.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,8,3074,7,2,7,3,38,3.3,0.35,69,Y,0.74,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,3,3121,4,2,7,3,32,3.3,-0.34,53,Y,-0.62,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +,,3122,,1,3,5,42,3.3,,70,Y,0,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +3,2,3137,3,2,7,2,27,3.3,-0.59,69,Y,-1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,598.421041,e 580-640,e 580-640,0.9758194,3.3 +9,9,3151,9,2,7,1,37,3.3,1.06,69,Y,0.99,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,9,3161,8,1,7,3,34,3.3,0.61,69,Y,1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,1,3163,1,1,3,4,43,3.3,-2.2,68,Y,-1.95,P,2,P,95,1,3,-66,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +3,3,3174,3,2,6,3,27,3.3,-0.56,70,Y,-0.57,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +,,3179,,2,7,4,42,3.3,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +4,3,3184,4,2,7,5,44,3.3,-0.33,67,Y,-0.71,P,2,P,95,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +,,3193,,1,7,1,40,3.3,,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,3,3204,4,2,2,3,31,3.3,-0.26,63,Y,-0.64,P,2,P,94,1,1,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,8,3219,9,2,7,1,40,3.3,0.94,69,Y,0.72,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,3238,,2,7,3,40,3.3,,69,Y,,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,3247,10,2,7,4,40,3.3,2.24,66,Y,2.25,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,7,3273,9,2,7,3,36,3.3,0.94,63,Y,0.5,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,3278,2,2,7,1,38,3.3,-1.24,,Y,-1.56,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,3,3297,3,1,7,1,38,3.3,-0.71,69,Y,-0.57,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,4,3300,5,2,2,1,34,3.3,-0.17,68,Y,-0.3,P,7,P,94,1,1,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,7,3304,5,2,7,2,30.5,3.3,-0.18,67,Y,0.39,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +7,6,3314,7,1,4,4,39,3.3,0.52,70,Y,0.13,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +8,9,3320,8,1,7,5,39,3.3,0.81,68,Y,0.86,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,6,3344,6,2,7,3,30.5,3.3,0.01,68,Y,0,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +5,9,3364,5,1,7,3,38,3.3,-0.02,66,Y,0.95,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,7,3399,5,1,7,3,38.5,3.3,-0.02,69,Y,0.31,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.9999805,g 700+,h 760-820,0.9758194,3.3 +5,3,3400,5,2,7,4,41,3.3,-0.08,69,Y,-0.6,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +,,3419,9,2,7,1,48,3.3,0.97,66,Y,,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,929.999974,g 700+,i 820+,0.9758194,3.3 +1,1,3428,1,2,7,3,36.5,3.3,-2.13,66,Y,-2.08,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.4210345,g 700+,g 700-760,0.9758194,3.3 +6,5,3444,6,2,7,1,41,3.3,0.22,68,Y,-0.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +5,2,3451,5,2,7,3,39,3.3,-0.13,56,Y,-1.1,F,7,F,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,2,3459,1,1,7,5,37,3.3,-1.34,66,Y,-1.21,F,7,P,96,1,1,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,10,3463,9,2,2,5,41,3.3,1.39,70,Y,1.27,P,7,P,94,1,2,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,5,3469,4,2,7,1,42,3.3,-0.44,68,Y,-0.01,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +1,5,3505,2,1,3,1,24,3.3,-1.24,65,Y,-0.19,P,7,P,95,2,3,-58,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,551.052622,d 520-580,d 520-580,0.9758194,3.3 +4,4,3510,5,1,7,3,35,3.3,-0.18,69,Y,-0.3,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +,,3517,,1,7,4,43,3.3,,69,Y,,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +10,8,3557,10,2,7,4,37,3.3,1.38,69,Y,0.84,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,2,3576,6,2,7,3,32.5,3.3,0.1,66,Y,-0.92,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +4,5,3583,5,1,7,3,33,3.3,-0.2,69,Y,-0.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,9,3597,8,2,7,3,34,3.3,0.68,65,Y,1.19,P,7,P,95,2,2,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,1,3603,1,2,7,3,29,3.3,-2.15,69,Y,-1.34,P,7,P,94,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +4,4,3606,4,2,5,3,31.5,3.3,-0.38,64,Y,-0.45,P,7,P,94,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +2,6,3616,2,2,6,3,37,3.3,-1.03,64,Y,0.24,P,2,P,95,2,3,-62,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,6,3628,9,2,7,1,34,3.3,0.99,69,Y,0.12,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,5,3642,5,1,7,3,34,3.3,-0.17,69,Y,-0.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +7,8,3643,7,2,7,1,39,3.3,0.34,63,Y,0.86,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,6,3655,5,2,7,1,37.5,3.3,-0.03,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.2105075,g 700+,h 760-820,0.9758194,3.3 +2,4,3659,3,2,7,4,38,3.3,-0.77,69,Y,-0.37,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,3,3666,3,1,7,3,34,3.3,-0.53,46,Y,-0.76,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,4,3697,3,1,7,2,28.5,3.3,-0.74,56,Y,-0.42,P,2,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,622.1052505,e 580-640,e 580-640,0.9758194,3.3 +2,1,3710,2,2,7,3,30,3.3,-1.08,68,Y,-1.32,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +2,3,3715,3,1,4,3,25,3.3,-0.75,68,Y,-0.66,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,566.842095,d 520-580,d 520-580,0.9758194,3.3 +,,3717,,1,7,5,35,3.3,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,10,3722,9,1,7,2,32,3.3,0.82,68,Y,1.97,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +4,4,3727,4,1,7,1,38.7,3.3,-0.4,62,Y,-0.51,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.1578751,g 700+,h 760-820,0.9758194,3.3 +10,10,3737,10,1,7,3,32,3.3,1.3,49,Y,1.38,P,2,P,95,2,3,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,6,3740,7,1,7,1,37,3.3,0.35,70,Y,0.27,P,2,P,95,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,7,3781,6,1,7,1,40,3.3,0.19,58,Y,0.55,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,3799,10,1,7,3,36,3.3,1.39,66,Y,1.38,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,3,3802,2,1,2,4,34,3.3,-1.04,69,Y,-0.72,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,2,3806,5,2,7,1,28,3.3,0.01,67,Y,-0.89,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,614.210514,e 580-640,e 580-640,0.9758194,3.3 +6,6,3823,6,1,7,3,43,3.3,0.12,64,Y,0.25,P,2,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +9,10,3829,9,2,7,3,42,3.3,1.23,67,Y,1.56,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +3,2,3849,3,1,7,1,39,3.3,-0.72,69,Y,-1.32,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,1,3868,1,2,4,5,34,3.3,-1.49,67,Y,-1.69,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,2,3873,4,2,7,1,32.5,3.3,-0.48,67,Y,-0.9,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +7,7,3874,7,1,7,1,38,3.3,0.36,54,Y,0.37,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,6,3950,5,2,7,1,39,3.3,-0.04,53,Y,0.17,P,7,P,95,1,1,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +7,7,3976,7,2,7,1,40,3.3,0.57,68,Y,0.51,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,2,4007,4,1,7,1,30,3.3,-0.48,69,Y,-1,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,645.78946,f 640-700,f 640-700,0.9758194,3.3 +8,7,4008,9,1,7,1,34,3.3,0.89,66,Y,0.55,P,2,P,95,2,4,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +9,10,4031,9,1,7,3,40,3.3,1.17,68,Y,2.63,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,4,4041,4,1,7,1,38,3.3,-0.43,69,Y,-0.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,7,4115,8,2,8,5,41,3.3,0.88,68,Y,0.42,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,10,4118,10,1,7,1,44,3.3,2.22,60,Y,2.33,P,7,P,94,2,1,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +,,4122,1,1,3,5,35,3.3,-1.66,69,Y,,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,5,4151,4,2,7,3,35,3.3,-0.26,68,Y,-0.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,2,4160,3,1,7,4,35,3.3,-0.61,68,Y,-1.13,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,9,4176,7,2,7,4,41,3.3,0.42,69,Y,1.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,2,4180,3,2,7,5,47,3.3,-0.67,69,Y,-1.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,914.210501,g 700+,i 820+,0.9758194,3.3 +5,2,4207,5,1,7,3,41,3.3,-0.13,64,Y,-1.07,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +6,3,4223,6,1,7,2,31,3.3,0.17,69,Y,-0.71,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +8,8,4232,8,2,7,2,42,3.3,0.77,69,Y,0.65,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,835.263136,g 700+,i 820+,0.9758194,3.3 +2,2,4262,2,2,3,4,33,3.3,-0.82,66,Y,-1.08,P,7,P,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,3,4265,5,2,7,3,30,3.3,-0.06,50,Y,-0.64,P,7,P,93,1,4,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +6,4,4308,6,2,7,1,35,3.3,0.12,66,Y,-0.35,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,9,4313,9,2,7,1,44,3.3,1.15,62,Y,0.99,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +10,10,4327,10,1,7,1,38,3.3,1.77,53,Y,1.67,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,8,4332,5,1,7,4,43,3.3,0.01,59,Y,0.83,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +8,8,4355,8,2,7,1,35,3.3,0.66,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +,,4363,,2,7,1,42,3.3,,66,Y,-0.3,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,6,4391,6,2,7,1,45,3.3,0.27,68,Y,0.27,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +2,4,4393,2,1,7,3,35,3.3,-0.93,69,Y,-0.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,8,4411,8,2,7,3,48,3.3,0.7,68,Y,0.7,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,929.999974,g 700+,i 820+,0.9758194,3.3 +3,4,4423,4,1,7,1,40,3.3,-0.47,68,Y,-0.27,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,7,4442,6,2,7,4,36,3.3,0.07,70,Y,0.44,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,7,4453,6,1,7,3,37,3.3,0.08,68,Y,0.37,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,4469,9,2,7,3,40,3.3,1.06,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,5,4475,7,2,7,4,37,3.3,0.35,63,Y,-0.12,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,2,4505,1,2,7,3,33,3.3,-1.39,68,Y,-1.12,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,9,4510,9,1,7,5,46,3.3,1.2,69,Y,1.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,898.421028,g 700+,i 820+,0.9758194,3.3 +4,5,4514,4,2,7,4,45,3.3,-0.34,69,Y,-0.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +5,7,4525,5,1,7,3,37,3.3,-0.1,63,Y,0.38,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,5,4529,3,1,7,1,42,3.3,-0.69,65,Y,-0.12,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +4,5,4561,4,2,7,4,33,3.3,-0.32,62,Y,-0.08,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,5,4563,7,2,7,3,32,3.3,0.26,69,Y,-0.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +,,4602,,1,7,4,36,3.3,,64,Y,,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +,,4614,,1,7,2,34,3.3,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +6,7,4634,6,1,7,4,41,3.3,0.07,69,Y,0.36,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,2,4638,3,2,2,3,26,3.3,-0.56,65,Y,-0.97,P,7,P,94,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,582.631568,e 580-640,e 580-640,0.9758194,3.3 +5,5,4650,6,2,7,3,41,3.3,0.05,69,Y,-0.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,6,4651,7,2,7,4,41,3.3,0.38,58,Y,0.06,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,9,4683,10,1,7,1,36,3.3,1.59,45,Y,0.93,P,7,P,94,1,3,-38,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,8,4690,6,2,7,4,40,3.3,0.17,66,Y,0.58,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,4,4692,5,2,4,1,36,3.3,-0.18,68,Y,-0.44,P,7,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,5,4701,6,1,7,3,34,3.3,0.2,70,Y,-0.04,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +8,7,4721,8,2,7,3,38,3.3,0.57,66,Y,0.53,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,4,4726,6,2,7,1,37,3.3,0.23,68,Y,-0.4,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,5,4739,2,1,7,5,43,3.3,-0.9,69,Y,-0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,851.052609,g 700+,i 820+,0.9758194,3.3 +6,7,4759,7,1,7,1,46,3.3,0.3,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +6,7,4765,7,2,7,3,35,3.3,0.27,69,Y,0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,2,4805,4,1,7,5,32.3,3.3,-0.44,67,Y,-1.23,P,7,P,94,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,682.1052479,f 640-700,f 640-700,0.9758194,3.3 +6,3,4828,6,2,7,3,33,3.3,0.11,68,Y,-0.72,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,5,4871,3,2,7,3,32,3.3,-0.8,51,Y,-0.13,P,2,P,95,1,2,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +1,1,4949,1,1,3,5,30,3.3,-2.39,68,Y,-1.79,P,2,P,95,1,5,-66,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,645.78946,f 640-700,f 640-700,0.9758194,3.3 +6,3,4965,6,1,7,2,29.5,3.3,0.16,68,Y,-0.76,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,637.8947235,e 580-640,e 580-640,0.9758194,3.3 +2,2,5041,2,1,3,4,43,3.3,-1.13,68,Y,-1.2,P,2,P,95,1,4,-66,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +6,8,5061,7,1,7,4,41,3.3,0.27,68,Y,0.66,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,1,5085,1,1,3,1,27,3.3,-1.76,69,Y,-1.84,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,598.421041,e 580-640,e 580-640,0.9758194,3.3 +1,4,5103,2,1,7,3,35,3.3,-1.16,68,Y,-0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +2,6,5111,3,1,7,3,34.5,3.3,-0.82,67,Y,0.15,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +7,7,5112,7,2,7,1,39,3.3,0.53,69,Y,0.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,7,5145,6,2,7,1,34,3.3,0.28,68,Y,0.29,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,6,5219,6,1,7,3,35,3.3,-0.01,67,Y,-0.01,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,10,5225,10,2,7,3,33,3.3,2.13,67,Y,2.34,P,,P,,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,8,5235,9,1,7,1,37,3.3,0.97,66,Y,0.86,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,9,5241,10,1,3,6,34,3.3,1.75,69,Y,0.99,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,708.947352,g 700+,g 700-760,0.9758194,3.3 +4,6,5291,5,2,7,3,35.5,3.3,-0.2,67,Y,0.19,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +3,3,5326,3,1,3,3,31,3.3,-0.59,69,Y,-0.76,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +2,2,5330,2,2,4,5,37,3.3,-1.07,63,Y,-1.18,F,7,F,94,1,1,-56,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,6,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,5,5341,3,1,7,4,38,3.3,-0.73,68,Y,-0.2,P,7,P,94,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,8,5360,8,2,7,4,40,3.3,0.74,63,Y,0.76,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,6,5374,7,2,7,4,37,3.3,0.54,69,Y,0.12,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,7,5381,8,1,7,3,33.5,3.3,0.6,68,Y,0.41,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.0526155,g 700+,g 700-760,0.9758194,3.3 +4,5,5390,5,1,7,3,35,3.3,-0.2,69,Y,-0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,7,5393,9,1,7,3,40,3.3,1.2,67,Y,0.32,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,9,5400,10,1,7,3,32,3.3,1.47,68,Y,1.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +2,2,5406,2,2,7,3,29,3.3,-0.98,61,Y,-1.04,F,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +6,3,5409,6,2,7,1,43,3.3,0.14,65,Y,-0.71,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +9,7,5414,9,2,7,3,34,3.3,1.15,51,Y,0.42,P,7,P,95,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +4,3,5426,4,1,7,1,39,3.3,-0.3,69,Y,-0.82,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,7,5430,3,1,7,4,35,3.3,-0.73,67,Y,0.38,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,8,5459,6,2,7,1,38,3.3,0.22,55,Y,0.63,P,7,P,95,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,1,5468,10,1,3,4,28,3.3,1.37,52,Y,-1.94,F,7,P,95,1,3,-45,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,614.210514,e 580-640,e 580-640,0.9758194,3.3 +7,7,5490,7,2,7,1,40,3.3,0.49,69,Y,0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,5555,,1,7,3,37,3.3,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,6,5572,3,1,7,1,34,3.3,-0.75,65,Y,0.25,P,2,P,95,2,2,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +6,7,5575,6,2,7,1,33.5,3.3,0.16,65,Y,0.41,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.0526155,g 700+,g 700-760,0.9758194,3.3 +,,5576,1,2,8,3,36,3.3,-1.55,70,Y,,F,7,F,94,1,3,-63,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,5,5586,5,2,7,3,31,3.3,-0.04,67,Y,-0.24,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +4,3,5590,4,2,7,1,34,3.3,-0.33,62,Y,-0.61,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +4,3,5595,4,2,7,4,36,3.3,-0.26,67,Y,-0.82,P,7,P,95,2,1,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,3,5597,5,2,7,4,41,3.3,-0.16,67,Y,-0.77,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,10,5605,10,2,7,4,38,3.3,1.52,65,Y,1.54,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,6,5645,6,2,7,3,39,3.3,0.15,54,Y,0.05,P,6,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +8,8,5699,9,1,7,3,35,3.3,0.86,68,Y,0.72,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,9,5706,8,2,7,3,35,3.3,0.78,66,Y,1.02,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,6,5761,6,1,7,3,33,3.3,0.17,55,Y,0.05,P,7,P,95,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,6,5772,8,2,7,4,45,3.3,0.6,65,Y,0.08,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +2,4,5788,2,1,7,3,31,3.3,-0.89,69,Y,-0.48,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +3,3,5813,3,2,7,1,35.5,3.3,-0.68,67,Y,-0.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.6315615,g 700+,g 700-760,0.9758194,3.3 +7,9,5816,7,1,7,1,40,3.3,0.36,67,Y,0.93,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,5833,1,2,7,1,39,3.3,-1.37,63,Y,-1.75,F,2,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,6,5835,4,1,7,3,35,3.3,-0.26,68,Y,0.01,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,10,5840,10,2,7,3,35,3.3,1.39,66,Y,1.96,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,6,5850,8,1,7,1,37,3.3,0.63,68,Y,0.19,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,5858,9,1,7,3,39,3.3,1.15,66,Y,1.23,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,3,5864,1,1,2,4,36,3.3,-1.52,68,Y,-0.76,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,5870,1,1,7,1,38,3.3,-1.38,68,Y,-1.68,P,1,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,9,5881,8,2,7,1,34,3.3,0.79,60,Y,1.03,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,3,5896,4,2,7,2,29,3.3,-0.44,67,Y,-0.79,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +,,5909,,1,7,1,39,3.3,,57,Y,-0.47,P,7,P,94,2,1,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,9,5958,9,1,7,3,34,3.3,1.18,68,Y,1.3,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +6,2,5973,6,2,3,1,24,3.3,0.18,58,Y,-0.93,F,7,P,96,1,1,-51,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,551.052622,d 520-580,d 520-580,0.9758194,3.3 +9,9,5984,9,2,2,4,41.5,3.3,0.95,64,Y,0.92,P,7,P,94,1,2,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,827.3683995,g 700+,i 820+,0.9758194,3.3 +9,10,5997,10,1,7,3,42,3.3,1.27,61,Y,1.44,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +9,8,6004,9,1,7,3,35.5,3.3,1.22,69,Y,0.64,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +8,9,6005,8,2,7,4,36,3.3,0.72,69,Y,1.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,1,6039,2,1,3,1,27,3.3,-1.11,65,Y,-1.63,P,2,P,96,1,2,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,598.421041,e 580-640,e 580-640,0.9758194,3.3 +4,4,6041,4,1,7,1,38,3.3,-0.25,68,Y,-0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,4,6054,2,1,7,3,31,3.3,-0.95,69,Y,-0.47,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +3,2,6069,3,1,7,1,36,3.3,-0.71,69,Y,-0.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,3,6085,5,2,7,3,36,3.3,-0.12,69,Y,-0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,2,6087,3,1,2,1,33,3.3,-0.65,66,Y,-0.99,F,7,P,95,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +3,4,6117,4,1,7,4,35,3.3,-0.5,69,Y,-0.49,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,9,6128,10,2,7,1,36.5,3.3,1.67,64,Y,0.97,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.4210345,g 700+,g 700-760,0.9758194,3.3 +3,3,6136,4,1,4,1,32,3.3,-0.45,69,Y,-0.61,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,8,6151,7,1,7,3,41,3.3,0.48,69,Y,0.83,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +,,6170,,2,7,1,40,3.3,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,9,6184,10,2,7,3,40,3.3,1.48,66,Y,1.3,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,6,6190,6,2,7,1,43,3.3,0.16,69,Y,0.05,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +5,3,6211,6,1,7,3,35,3.3,0,63,Y,-0.75,F,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,7,6226,8,1,7,3,42,3.3,0.62,63,Y,0.43,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +4,6,6274,5,1,7,6,36,3.3,-0.07,57,Y,0.19,F,7,F,95,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,10,6287,9,2,7,1,39.5,3.3,1.25,67,Y,1.51,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.7894535,g 700+,h 760-820,0.9758194,3.3 +8,6,6300,9,2,7,4,48,3.3,0.86,69,Y,0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +2,3,6310,3,2,7,3,35,3.3,-0.7,68,Y,-0.59,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,7,6312,7,1,7,3,27,3.3,0.39,69,Y,0.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +8,8,6316,8,2,7,2,30,3.3,0.66,69,Y,0.72,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +5,5,6324,6,1,7,3,37,3.3,0,64,Y,-0.17,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,2,6326,3,1,7,1,44,3.3,-0.57,69,Y,-1.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +5,4,6335,5,2,7,1,42,3.3,-0.11,68,Y,-0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +2,4,6339,3,1,7,3,42,3.3,-0.84,70,Y,-0.49,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +10,10,6343,10,1,7,1,44,3.3,1.64,67,Y,1.91,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +8,8,6344,8,1,1,6,35,3.3,0.73,68,Y,0.52,P,7,P,94,1,4,-61,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,1,724.736825,g 700+,g 700-760,0.9758194,3.3 +,,6355,,2,7,5,41.5,3.3,,60,Y,,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.3683995,g 700+,i 820+,0.9758194,3.3 +2,1,6363,2,1,3,1,30,3.3,-0.92,70,Y,-1.42,F,7,P,95,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,645.78946,f 640-700,f 640-700,0.9758194,3.3 +7,9,6367,7,2,7,3,39,3.3,0.46,65,Y,0.87,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,6,6372,6,2,7,3,37,3.3,0.03,65,Y,0.01,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,6382,10,2,7,1,42,3.3,1.98,62,Y,1.93,P,7,P,94,1,1,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +3,4,6383,4,1,7,3,32,3.3,-0.47,61,Y,-0.37,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,5,6454,5,1,7,4,45,3.3,-0.18,56,Y,-0.16,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +2,2,6457,2,2,7,4,41,3.3,-0.9,68,Y,-1.25,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,6,6462,7,1,7,3,32,3.3,0.48,66,Y,0.19,F,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +10,10,6499,10,2,7,1,39,3.3,1.79,58,Y,1.6,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,8,6531,10,2,7,4,39,3.3,1.34,67,Y,0.83,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,2,6535,2,1,7,1,33,3.3,-0.92,68,Y,-1.2,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,8,6548,8,1,7,3,41,3.3,0.64,69,Y,0.76,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +8,8,6567,9,1,7,6,37,3.3,0.84,57,Y,0.53,P,7,P,94,1,2,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,4,6605,5,2,7,4,37,3.3,-0.1,69,Y,-0.4,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,6616,,2,7,1,37,3.3,,67,Y,-0.22,P,2,P,96,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,1,6617,2,1,7,5,39,3.3,-1.03,69,Y,-1.59,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,9,6627,10,2,7,1,32,3.3,1.32,65,Y,1.25,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +3,2,6656,4,1,7,3,34,3.3,-0.47,69,Y,-0.97,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,6678,10,2,7,2,40,3.3,1.96,65,Y,1.93,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,9,6682,6,1,7,1,47,3.3,0.17,64,Y,1.06,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,914.210501,g 700+,i 820+,0.9758194,3.3 +4,5,6697,4,1,7,3,34.5,3.3,-0.41,69,Y,-0.14,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +5,5,6700,5,1,7,3,34,3.3,-0.02,65,Y,-0.13,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,6701,,2,7,1,38,3.3,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,2,6707,2,1,7,3,31,3.3,-1.02,66,Y,-1.25,F,7,F,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,9,6721,9,2,6,3,33,3.3,0.96,69,Y,1.11,P,2,P,94,1,2,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,9,6728,9,1,7,4,46,3.3,1.1,61,Y,1.26,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +7,10,6735,7,2,7,2,40,3.3,0.33,67,Y,1.39,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,6753,,1,3,1,25,3.3,,52,Y,-0.99,F,2,P,96,2,4,-50,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,566.842095,d 520-580,d 520-580,0.9758194,3.3 +8,7,6760,8,1,2,3,38,3.3,0.78,69,Y,0.39,P,2,P,94,1,4,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,6,6780,5,2,7,1,41,3.3,-0.19,69,Y,0.05,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +8,8,6794,8,1,7,3,32.5,3.3,0.6,69,Y,0.58,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +7,8,6812,7,2,7,5,46,3.3,0.42,68,Y,0.56,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,898.421028,g 700+,i 820+,0.9758194,3.3 +5,5,6815,5,1,7,1,37,3.3,-0.02,66,Y,-0.25,P,2,P,94,1,5,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,2,6837,4,2,3,1,34,3.3,-0.49,69,Y,-0.9,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,3,6871,2,2,7,3,36,3.3,-0.92,68,Y,-0.71,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,1,6875,2,1,3,4,28.5,3.3,-1.14,64,Y,-1.47,F,7,P,96,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,622.1052505,e 580-640,e 580-640,0.9758194,3.3 +4,4,6881,4,1,7,1,41,3.3,-0.28,69,Y,-0.34,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,5,6903,3,2,7,1,38,3.3,-0.7,54,Y,-0.25,P,2,P,96,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,2,6907,1,2,2,3,28,3.3,-1.32,68,Y,-0.89,P,7,P,94,1,5,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,614.210514,e 580-640,e 580-640,0.9758194,3.3 +,,6916,,2,3,,18,3.3,-2.12,61,X,,F,7,F,94,2,3,-54,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,,456.315784,b 400-460,b 400-460,0.9758194,3.3 +7,8,6934,7,2,7,3,31,3.3,0.35,65,Y,0.75,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +10,10,6938,10,2,7,4,42,3.3,1.46,62,Y,1.33,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +2,2,6941,2,2,7,1,40,3.3,-0.98,69,Y,-1.32,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,6963,,2,8,5,37,3.3,,45,Y,,P,7,P,94,1,4,-38,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,3,6970,2,2,7,2,29,3.3,-0.99,66,Y,-0.91,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +,,6982,,2,7,1,37,3.3,,67,Y,-0.48,P,2,P,96,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,7004,,2,3,6,25,3.3,,69,Y,1.35,P,7,P,95,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,566.842095,d 520-580,d 520-580,0.9758194,3.3 +4,3,7034,4,2,7,1,34,3.3,-0.39,69,Y,-0.65,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,5,7036,3,2,7,1,43,3.3,-0.55,66,Y,-0.16,P,7,P,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +6,5,7037,6,1,7,3,34,3.3,0.14,68,Y,-0.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +9,8,7042,9,2,7,3,37,3.3,0.96,69,Y,0.81,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,7068,1,2,7,3,27.5,3.3,-1.49,67,Y,-1.42,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,606.3157775,e 580-640,e 580-640,0.9758194,3.3 +4,2,7078,5,2,7,3,30.5,3.3,-0.23,68,Y,-1.11,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +8,8,7084,9,1,7,1,39,3.3,0.9,68,Y,0.7,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +7,5,7087,7,2,2,1,33,3.3,0.52,65,Y,-0.08,P,2,P,95,1,4,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,7,7110,8,2,7,3,39,3.3,0.79,68,Y,0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,10,7130,10,1,7,3,43,3.3,1.35,69,Y,1.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +5,5,7152,6,1,7,4,31,3.3,0.04,66,Y,-0.01,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.578933,f 640-700,f 640-700,0.9758194,3.3 +10,7,7157,10,2,7,1,44,3.3,1.53,69,Y,0.54,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +6,5,7172,6,2,8,3,35.3,3.3,0.22,65,Y,-0.14,F,7,F,94,1,3,-58,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,729.4736669,g 700+,g 700-760,0.9758194,3.3 +8,9,7181,8,1,7,3,38,3.3,0.81,69,Y,0.92,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,1,7192,1,1,3,3,27,3.3,-2.04,51,Y,-1.82,F,7,P,95,1,4,-44,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +1,1,7193,1,1,7,3,34,3.3,-1.91,68,Y,-2.28,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +7,6,7210,7,1,7,1,40,3.3,0.33,64,Y,0.1,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,1,7219,6,1,7,4,32,3.3,0.1,62,Y,-2.88,F,2,F,96,2,5,-60,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,677.368406,f 640-700,f 640-700,0.9758194,3.3 +10,9,7221,10,2,7,2,37,3.3,1.25,65,Y,1,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,4,7242,6,2,7,3,37,3.3,0.03,70,Y,-0.37,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,4,7247,6,2,7,1,41,3.3,0.24,47,Y,-0.45,P,2,P,95,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,2,7277,2,1,7,1,42,3.3,-1.26,49,Y,-0.96,P,7,P,95,2,2,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,8,7278,6,2,7,5,47,3.3,0.24,65,Y,0.73,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,914.210501,g 700+,i 820+,0.9758194,3.3 +6,8,7295,6,1,7,3,40,3.3,0.23,65,Y,0.64,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,7,7317,6,1,7,1,35,3.3,0.22,68,Y,0.48,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,9,7322,9,1,7,2,33,3.3,1.11,68,Y,1.27,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,9,7325,9,2,1,3,33,3.3,0.85,68,Y,0.99,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,9,7340,8,2,7,1,43,3.3,0.84,68,Y,1.17,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +4,1,7345,4,1,7,2,32,3.3,-0.39,68,Y,-1.37,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +6,7,7348,7,2,7,2,27,3.3,0.24,69,Y,0.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,598.421041,e 580-640,e 580-640,0.9758194,3.3 +,,7356,1,1,3,6,23,3.3,-1.72,69,X,,F,2,F,96,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,535.263149,d 520-580,d 520-580,0.9758194,3.3 +9,9,7360,9,2,7,4,46,3.3,1.22,69,Y,1.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +4,4,7370,5,1,7,3,33,3.3,-0.19,62,Y,-0.49,F,7,P,96,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,6,7372,9,1,7,4,43,3.3,0.92,69,Y,0.11,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +7,7,7376,7,1,7,3,35,3.3,0.49,69,Y,0.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,6,7386,6,1,7,1,38,3.3,0.18,68,Y,0.23,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,5,7392,7,1,7,6,33,3.3,0.4,48,Y,-0.21,P,7,P,95,2,5,-41,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,693.157879,f 640-700,f 640-700,0.9758194,3.3 +3,4,7393,3,1,7,4,33,3.3,-0.53,61,Y,-0.27,P,7,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +1,1,7408,1,2,3,5,33,3.3,-1.36,67,Y,-1.6,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,693.157879,f 640-700,f 640-700,0.9758194,3.3 +7,5,7420,7,2,7,3,39,3.3,0.35,66,Y,-0.15,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,3,7433,2,2,7,4,37.7,3.3,-0.92,67,Y,-0.55,F,7,P,96,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,767.3684021,g 700+,h 760-820,0.9758194,3.3 +10,10,7439,10,2,7,3,28,3.3,1.43,68,Y,1.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.210514,e 580-640,e 580-640,0.9758194,3.3 +3,7,7455,3,1,7,3,39,3.3,-0.64,69,Y,0.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,4,7459,4,1,7,3,37,3.3,-0.32,69,Y,-0.48,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,7460,9,1,7,3,32,3.3,0.9,69,Y,1.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,7,7490,7,2,7,3,36,3.3,0.42,69,Y,0.27,P,7,P,95,2,2,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,7509,10,2,7,3,27,3.3,1.81,66,Y,1.84,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +9,8,7513,9,2,7,6,28,3.3,1.16,68,Y,0.54,F,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,614.210514,e 580-640,e 580-640,0.9758194,3.3 +1,2,7514,2,2,7,3,29,3.3,-1.19,64,Y,-0.99,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +1,3,7515,1,2,7,6,27,3.3,-1.38,57,Y,-0.62,P,2,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,598.421041,e 580-640,e 580-640,0.9758194,3.3 +3,3,7519,3,1,7,1,41,3.3,-0.67,54,Y,-0.86,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,4,7521,3,1,3,3,24,3.3,-0.73,50,Y,-0.43,F,7,P,95,1,3,-43,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,551.052622,d 520-580,d 520-580,0.9758194,3.3 +6,6,7550,6,2,7,5,48,3.3,0.22,60,Y,0.15,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +2,4,7551,3,1,7,1,44,3.3,-0.77,67,Y,-0.45,P,6,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +1,1,7584,1,1,7,1,39,3.3,-1.92,70,Y,-2.29,P,2,P,95,1,3,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,9,7591,9,2,7,2,32,3.3,1.2,69,Y,1.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +6,5,7601,6,2,4,3,29.5,3.3,0.14,68,Y,-0.04,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.8947235,e 580-640,e 580-640,0.9758194,3.3 +5,7,7607,6,2,7,3,32,3.3,-0.01,63,Y,0.47,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +4,4,7644,4,1,7,3,37,3.3,-0.36,68,Y,-0.52,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,4,7648,6,2,7,5,38,3.3,0.22,69,Y,-0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,7,7650,7,2,6,3,27,3.3,0.45,63,Y,0.42,P,7,P,94,1,3,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +10,10,7666,10,1,7,3,33,3.3,1.36,68,Y,1.39,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,6,7677,6,2,7,3,34,3.3,0.19,66,Y,0.19,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,7,7685,10,1,4,1,37,3.3,1.45,64,Y,0.49,P,7,P,94,1,3,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,7,7706,10,2,7,4,43,3.3,1.28,65,Y,0.39,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +3,4,7715,4,2,7,1,40,3.3,-0.48,67,Y,-0.52,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,3,7763,4,2,2,4,30,3.3,-0.41,66,Y,-0.7,F,7,P,95,2,4,-59,male,1,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,645.78946,f 640-700,f 640-700,0.9758194,3.3 +7,9,7796,7,1,7,3,40,3.3,0.51,69,Y,0.96,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,4,7835,4,2,7,3,33,3.3,-0.38,61,Y,-0.49,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,5,7845,5,1,7,3,40,3.3,-0.16,67,Y,-0.15,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,10,7872,9,1,7,1,36.5,3.3,0.91,69,Y,1.5,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.4210345,g 700+,g 700-760,0.9758194,3.3 +9,9,7877,9,2,7,3,33,3.3,0.92,64,Y,1.01,P,2,P,96,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,8,7879,10,2,7,1,34,3.3,1.44,68,Y,0.81,P,2,P,96,2,3,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,3,7891,2,1,7,1,38,3.3,-0.83,55,Y,-0.85,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +,,7901,7,2,7,4,37,3.3,0.35,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,7917,10,2,7,3,41,3.3,1.53,66,Y,1.88,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +6,5,7918,6,1,7,3,35,3.3,0.23,69,Y,-0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,9,7934,8,2,7,3,33,3.3,0.55,69,Y,1.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +3,3,7939,4,2,7,1,35.5,3.3,-0.44,65,Y,-0.67,P,2,P,94,1,1,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.6315615,g 700+,g 700-760,0.9758194,3.3 +1,1,7943,1,1,7,3,41,3.3,-1.65,69,Y,-1.39,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +4,3,7948,5,2,7,1,40,3.3,-0.17,69,Y,-0.56,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,7,7950,8,1,7,3,38,3.3,0.57,67,Y,0.5,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,6,7954,6,2,7,2,35,3.3,0.18,44,Y,0.07,P,7,P,94,1,3,-37,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,724.736825,g 700+,g 700-760,0.9758194,3.3 +2,1,7984,2,2,7,5,40,3.3,-1.11,70,Y,-2.05,P,2,P,95,1,3,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,7989,,1,7,,30,3.3,0.99,67,Y,0.92,P,2,P,95,2,4,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,645.78946,f 640-700,f 640-700,0.9758194,3.3 +7,7,7997,7,2,7,3,38,3.3,0.47,69,Y,0.28,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,3,7999,2,1,7,1,40,3.3,-0.98,67,Y,-0.73,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,6,8000,6,2,7,3,35,3.3,0.12,69,Y,0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +2,3,8027,3,1,2,1,34,3.3,-0.76,69,Y,-0.55,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,8088,,2,7,1,40,3.3,,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,10,8101,9,1,7,3,41,3.3,1.05,63,Y,1.43,P,7,P,93,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,5,8109,4,2,7,2,29,3.3,-0.44,65,Y,-0.25,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +7,7,8114,8,1,7,4,37,3.3,0.56,68,Y,0.48,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,8119,,1,5,3,23,3.3,,64,Y,,F,7,F,95,2,2,-57,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,535.263149,d 520-580,d 520-580,0.9758194,3.3 +6,4,8127,6,1,7,1,42,3.3,0.24,69,Y,-0.34,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +2,2,8131,2,1,7,3,38,3.3,-0.89,65,Y,-0.92,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,6,8133,7,2,7,1,34,3.3,0.55,54,Y,0.21,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,8135,,1,7,3,33.5,3.3,,69,Y,0.04,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.0526155,g 700+,g 700-760,0.9758194,3.3 +10,10,8140,10,1,7,2,41,3.3,1.48,66,Y,1.83,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,6,8151,7,1,7,3,31,3.3,0.48,69,Y,0.2,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +2,2,8159,2,2,2,1,25.5,3.3,-0.91,65,Y,-1.01,F,7,P,96,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,574.7368315,d 520-580,d 520-580,0.9758194,3.3 +9,8,8160,9,1,7,3,28.3,3.3,1.02,69,Y,0.71,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.9473559,e 580-640,e 580-640,0.9758194,3.3 +2,3,8161,2,2,7,5,43,3.3,-1.06,65,Y,-0.73,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,851.052609,g 700+,i 820+,0.9758194,3.3 +6,6,8172,6,1,7,4,41,3.3,0.16,63,Y,0.09,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,8,8185,7,1,2,1,42,3.3,0.54,68,Y,0.73,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +,,8188,7,1,7,1,39,3.3,0.4,67,X,,P,2,P,95,1,2,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,10,8194,10,1,7,1,40,3.3,1.62,63,Y,1.85,P,2,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,5,8207,5,2,7,3,36,3.3,-0.17,64,Y,-0.07,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,3,8214,3,1,7,2,32,3.3,-0.71,60,Y,-0.64,F,7,P,95,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +4,1,8236,4,2,7,3,39,3.3,-0.29,69,Y,-1.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,5,8244,4,2,7,3,32.5,3.3,-0.44,69,Y,-0.24,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +10,9,8247,10,1,7,4,44,3.3,1.37,69,Y,1.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +,,8257,,2,7,2,33.5,3.3,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,701.0526155,g 700+,g 700-760,0.9758194,3.3 +3,2,8259,4,2,7,3,36,3.3,-0.48,69,Y,-0.93,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,4,8267,6,2,7,3,32,3.3,0.02,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +1,2,8284,1,2,6,3,30,3.3,-1.81,67,Y,-1.07,F,2,P,95,2,3,-65,male,1,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +9,8,8298,9,1,7,1,36,3.3,0.96,68,Y,0.82,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,8300,1,2,7,4,37,3.3,-1.81,69,Y,-2.18,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,3,8310,2,2,2,1,31,3.3,-1.18,70,Y,-0.82,P,2,P,95,1,2,-68,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,661.578933,f 640-700,f 640-700,0.9758194,3.3 +3,3,8332,3,1,7,3,33,3.3,-0.68,69,Y,-0.75,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,7,8350,8,2,7,1,42,3.3,0.8,69,Y,0.32,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,7,8361,6,1,7,3,33,3.3,0.25,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +7,7,8365,7,2,7,4,32,3.3,0.4,69,Y,0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,7,8367,7,2,7,4,37,3.3,0.38,69,Y,0.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,7,8370,7,1,2,2,28,3.3,0.51,66,Y,0.38,P,7,P,94,1,1,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,614.210514,e 580-640,e 580-640,0.9758194,3.3 +6,7,8384,6,2,7,1,40,3.3,0.16,67,Y,0.36,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,3,8392,5,1,7,1,46,3.3,-0.12,69,Y,-0.73,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +,,8394,,2,7,4,33,3.3,,69,Y,,P,7,P,95,2,2,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,3,8399,6,2,7,2,34,3.3,0,58,Y,-0.64,F,2,F,95,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +8,8,8405,8,1,2,4,36,3.3,0.82,69,Y,0.79,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,5,8422,5,1,3,1,36,3.3,0.04,69,Y,-0.1,P,7,P,94,1,1,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,2,8445,2,1,2,1,40,3.3,-0.94,69,Y,-1.16,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,7,8454,8,1,7,3,37,3.3,0.65,67,Y,0.28,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,4,8459,4,2,7,1,44,3.3,-0.4,64,Y,-0.46,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +2,5,8465,2,2,7,1,39,3.3,-0.88,69,Y,-0.15,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,2,8471,3,1,3,3,28,3.3,-0.79,69,Y,-1.02,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,614.210514,e 580-640,e 580-640,0.9758194,3.3 +2,3,8481,3,2,7,1,39,3.3,-0.78,69,Y,-0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,3,8489,4,2,7,3,39,3.3,-0.29,63,Y,-0.67,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,4,8513,3,1,7,3,33,3.3,-0.59,69,Y,-0.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,3,8533,2,1,7,4,45,3.3,-1.12,69,Y,-0.74,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +10,10,8534,10,1,7,1,47,3.3,1.4,69,Y,1.53,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,914.210501,g 700+,i 820+,0.9758194,3.3 +9,6,8540,9,2,7,3,35,3.3,0.96,69,Y,0.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,1,8546,1,2,7,3,29.5,3.3,-1.46,51,Y,-1.93,F,7,P,95,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,637.8947235,e 580-640,e 580-640,0.9758194,3.3 +4,4,8595,4,1,6,3,26.5,3.3,-0.32,68,Y,-0.43,F,7,P,95,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,590.5263045,e 580-640,e 580-640,0.9758194,3.3 +8,7,8603,8,1,7,3,36,3.3,0.61,70,Y,0.33,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,9,8606,10,2,7,5,40,3.3,1.57,69,Y,0.93,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,9,8607,9,2,7,3,31.5,3.3,1.11,69,Y,0.94,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +,,8663,,2,7,6,28,3.3,,68,Y,,F,2,P,96,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,614.210514,e 580-640,e 580-640,0.9758194,3.3 +2,3,8669,2,2,7,1,38,3.3,-1.02,68,Y,-0.71,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +,,8673,,1,7,4,30,3.3,,54,Y,,P,7,P,95,2,3,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,645.78946,f 640-700,f 640-700,0.9758194,3.3 +6,6,8682,6,2,7,3,33,3.3,0.21,69,Y,0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,9,8691,8,2,7,3,38,3.3,0.66,66,Y,1.07,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,9,8720,7,1,7,1,35,3.3,0.57,69,Y,1.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,8,8741,7,1,7,3,39,3.3,0.43,69,Y,0.84,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,7,8785,6,1,7,3,33,3.3,0.2,55,Y,0.35,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,7,8788,6,1,7,4,39,3.3,0.13,68,Y,0.27,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,2,8804,3,2,7,3,41,3.3,-0.65,68,Y,-1.28,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,9,8817,9,2,7,1,40,3.3,1.05,65,Y,0.92,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,5,8849,5,1,7,6,31,3.3,-0.11,67,Y,-0.09,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,10,8851,10,1,7,1,38,3.3,1.31,70,Y,1.59,F,7,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,8856,10,1,7,1,43,3.3,1.8,65,Y,2.02,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +2,2,8867,3,2,7,3,40,3.3,-0.81,69,Y,-1.3,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,8,8872,9,2,7,3,37,3.3,1.13,66,Y,0.84,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,9,8875,10,2,7,4,40,3.3,1.31,66,Y,1.2,P,7,P,94,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +2,1,8904,3,1,6,3,34,3.3,-0.79,65,Y,-1.63,F,7,F,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,2,8977,4,1,7,3,37,3.3,-0.48,69,Y,-0.95,P,2,P,96,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,8984,9,1,7,3,40,3.3,1.16,54,Y,1.1,P,7,P,94,2,4,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,8,8989,9,1,7,3,38,3.3,0.98,69,Y,0.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,8994,10,1,7,2,30.5,3.3,1.76,67,Y,2.18,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +8,9,9004,9,2,7,3,40,3.3,0.83,66,Y,1.12,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,7,9031,8,1,2,1,28,3.3,0.85,69,Y,0.48,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,614.210514,e 580-640,e 580-640,0.9758194,3.3 +7,9,9032,7,2,7,3,37,3.3,0.41,68,Y,0.98,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,9035,10,1,7,1,33,3.3,1.83,65,Y,2.14,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,7,9039,6,1,7,3,32,3.3,0.17,67,Y,0.49,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +2,1,9046,2,1,3,6,19,3.3,-0.88,58,Y,-1.54,P,7,P,94,1,3,-51,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,472.105257,c 460-520,c 460-520,0.9758194,3.3 +10,10,9064,10,2,7,4,41,3.3,1.77,65,Y,1.64,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +4,4,9074,5,1,7,2,28.5,3.3,-0.25,59,Y,-0.37,F,7,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,622.1052505,e 580-640,e 580-640,0.9758194,3.3 +3,4,9098,3,1,8,2,20,3.3,-0.71,68,Y,-0.52,F,7,P,95,2,1,-61,female,1,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,2,487.89473,c 460-520,c 460-520,0.9758194,3.3 +8,9,9106,8,2,7,1,36,3.3,0.78,68,Y,1.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,9120,10,1,7,3,32,3.3,1.64,69,Y,1.77,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,3,9122,5,1,7,1,33,3.3,-0.14,69,Y,-0.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +1,1,9166,1,1,7,1,37,3.3,-2.01,52,Y,-1.98,P,7,P,95,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,3,9168,6,2,7,3,30,3.3,0.01,68,Y,-0.64,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +3,3,9181,4,2,7,3,38,3.3,-0.46,64,Y,-0.61,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,9,9187,9,2,7,1,40,3.3,1.29,65,Y,1.26,F,7,P,96,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,3,9200,4,1,7,1,36,3.3,-0.35,61,Y,-0.85,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,7,9201,6,1,7,2,29,3.3,0.03,68,Y,0.23,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +4,4,9244,5,1,7,3,35,3.3,-0.18,63,Y,-0.41,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,5,9253,7,1,7,4,44,3.3,0.48,67,Y,-0.06,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +,,9260,,2,7,5,44,3.3,,67,Y,0,P,2,P,95,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +9,8,9263,9,1,7,4,43,3.3,0.89,69,Y,0.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +1,1,9286,1,1,4,5,40,3.3,-2.3,70,Y,-2.41,F,7,P,96,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +2,3,9297,3,1,7,2,31,3.3,-0.86,68,Y,-0.61,F,7,F,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +2,4,9312,2,1,7,2,33,3.3,-0.94,64,Y,-0.41,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,3,9365,5,1,7,1,35,3.3,-0.14,68,Y,-0.7,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,8,9376,10,2,7,1,42,3.3,1.31,69,Y,0.83,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +7,7,9379,8,2,7,3,38,3.3,0.53,,Y,0.4,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,4,9384,3,1,7,1,42,3.3,-0.69,61,Y,-0.46,P,7,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +9,8,9407,9,2,7,4,48,3.3,1.15,68,Y,0.65,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +6,8,9409,6,2,7,4,36,3.3,0.1,60,Y,0.57,P,7,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,9426,10,2,7,3,38.5,3.3,1.35,67,Y,1.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.9999805,g 700+,h 760-820,0.9758194,3.3 +,,9428,,1,7,5,48,3.3,,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +3,4,9443,4,1,3,3,25,3.3,-0.43,69,Y,-0.55,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,566.842095,d 520-580,d 520-580,0.9758194,3.3 +7,8,9464,7,1,7,3,36,3.3,0.39,61,Y,0.67,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,8,9468,9,2,7,3,34,3.3,0.94,62,Y,0.79,P,2,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,1,9476,2,2,7,3,35,3.3,-1.23,63,Y,-2.09,F,7,F,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,10,9514,10,1,7,3,40,3.3,1.96,69,Y,1.9,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,9520,10,1,7,4,36,3.3,1.72,58,Y,1.71,P,7,P,95,2,4,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,6,9531,7,2,7,3,37,3.3,0.45,68,Y,0.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,7,9538,8,2,7,3,37,3.3,0.57,66,Y,0.29,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,5,9546,4,1,7,3,37,3.3,-0.47,69,Y,-0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,9548,3,2,7,1,42,3.3,-0.52,50,Y,,P,2,P,95,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +7,9,9552,7,2,7,3,40,3.3,0.48,66,Y,1.2,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,3,9570,3,2,7,1,45,3.3,-0.57,69,Y,-0.62,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +2,2,9582,2,2,7,4,36,3.3,-1.09,69,Y,-1.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,3,9584,3,2,7,3,32,3.3,-0.75,66,Y,-0.76,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +1,1,9587,2,2,7,3,35.5,3.3,-1.29,66,Y,-1.41,F,7,F,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +2,1,9615,2,2,7,4,40,3.3,-0.84,61,Y,-1.89,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,5,9632,5,1,7,4,43,3.3,-0.12,56,Y,-0.08,P,7,P,95,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +9,7,9638,9,2,7,3,40,3.3,1,69,Y,0.43,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,9,9656,9,2,7,4,44,3.3,1.23,63,Y,0.98,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +3,5,9660,3,1,7,3,41,3.3,-0.6,60,Y,-0.07,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,1,9672,1,1,7,1,37,3.3,-1.76,70,Y,-1.44,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,9755,,2,1,1,32,3.3,,56,Y,0.16,F,7,F,95,1,4,-49,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,6,9759,7,2,7,1,42,3.3,0.44,66,Y,0.16,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +5,5,9774,5,1,7,3,36,3.3,-0.04,69,Y,-0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,9781,2,1,3,5,29.5,3.3,-1.21,69,Y,-1.76,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,637.8947235,e 580-640,e 580-640,0.9758194,3.3 +7,7,9795,7,2,7,4,36,3.3,0.33,67,Y,0.38,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,5,9823,7,2,7,1,38,3.3,0.5,61,Y,-0.12,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,5,9839,5,2,7,3,23,3.3,-0.1,67,Y,-0.13,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,535.263149,d 520-580,d 520-580,0.9758194,3.3 +,,9865,,1,7,1,37,3.3,,62,Y,0.68,P,2,P,95,2,2,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,9867,9,1,7,1,37,3.3,1.1,68,Y,1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,9870,2,1,7,3,30,3.3,-1.11,48,Y,,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +1,1,9876,1,1,8,4,33,3.3,-1.91,70,Y,-1.51,F,7,P,96,1,1,-63,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,10,9890,10,2,7,3,43,3.3,1.8,69,Y,1.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +7,6,9902,8,2,7,3,32,3.3,0.54,69,Y,0.02,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,2,9913,5,1,2,4,43,3.3,-0.16,65,Y,-1.21,F,7,F,94,1,3,-58,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +7,8,9924,7,1,7,1,38,3.3,0.49,69,Y,0.67,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,7,9953,6,1,7,1,41,3.3,0.24,69,Y,0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,2,9954,3,1,7,3,30.5,3.3,-0.83,68,Y,-0.99,F,7,P,96,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +9,7,9975,9,1,7,2,37,3.3,1.14,61,Y,0.23,P,2,P,96,2,2,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,10,9984,8,2,4,5,31,3.3,0.77,68,Y,1.28,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,10,10004,9,2,7,2,39,3.3,0.91,69,Y,1.35,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,5,10017,6,1,7,3,33.5,3.3,0.03,69,Y,-0.06,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.0526155,g 700+,g 700-760,0.9758194,3.3 +4,3,10020,4,1,7,3,34,3.3,-0.29,69,Y,-0.74,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +6,8,10023,6,2,7,3,40,3.3,0.18,56,Y,0.84,P,2,P,96,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,8,10049,9,2,7,3,34,3.3,0.87,66,Y,0.83,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +8,8,10061,8,2,7,1,39,3.3,0.65,57,Y,0.81,P,2,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,8,10062,6,1,7,3,36,3.3,0.01,66,Y,0.73,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,7,10067,7,1,7,3,36,3.3,0.3,68,Y,0.4,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,3,10090,3,1,7,1,36,3.3,-0.54,69,Y,-0.86,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +8,10,10128,8,2,7,1,40,3.3,0.69,61,Y,1.31,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,8,10141,7,2,7,2,30,3.3,0.48,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +5,4,10170,5,2,7,1,34,3.3,-0.01,58,Y,-0.42,P,2,P,96,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,2,10213,2,2,7,3,33,3.3,-0.97,69,Y,-0.95,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,5,10236,10,1,7,5,42,3.3,1.78,67,Y,0.01,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +4,5,10237,4,1,7,3,34,3.3,-0.32,69,Y,-0.23,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,10247,10,2,7,1,37,3.3,2.15,66,Y,1.64,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,7,10258,6,2,7,3,37,3.3,-0.01,54,Y,0.33,P,7,P,95,2,2,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,4,10260,3,2,7,3,30,3.3,-0.67,53,Y,-0.4,P,7,P,95,2,4,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +10,9,10278,10,2,7,5,48,3.3,1.69,68,Y,1.24,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +9,8,10279,9,2,7,5,47,3.3,1.26,48,Y,0.57,P,7,P,94,1,5,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,914.210501,g 700+,i 820+,0.9758194,3.3 +8,7,10310,8,1,7,1,41,3.3,0.62,68,Y,0.54,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +8,10,10324,9,2,7,3,31,3.3,0.85,60,Y,1.41,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +3,3,10349,3,2,7,1,42,3.3,-0.62,68,Y,-0.73,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +5,7,10358,5,1,7,4,31,3.3,-0.05,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.578933,f 640-700,f 640-700,0.9758194,3.3 +4,4,10394,4,1,7,3,36,3.3,-0.38,69,Y,-0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,1,10409,2,1,3,4,27,3.3,-1.14,69,Y,-1.67,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,598.421041,e 580-640,e 580-640,0.9758194,3.3 +8,8,10440,8,2,7,1,34,3.3,0.62,68,Y,0.84,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,10443,10,2,7,4,44,3.3,1.55,69,Y,1.96,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +,,10468,2,2,4,5,43,3.3,-0.94,67,Y,,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,851.052609,g 700+,i 820+,0.9758194,3.3 +1,2,10469,2,1,7,3,38,3.3,-1.19,67,Y,-1.04,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,7,10475,8,1,7,3,39,3.3,0.82,70,Y,0.39,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,6,10501,5,2,7,3,39,3.3,-0.2,69,Y,0.17,F,7,P,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,1,10505,2,1,7,3,31,3.3,-0.87,69,Y,-1.6,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +4,5,10565,4,2,7,1,35,3.3,-0.27,68,Y,-0.13,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,2,10594,3,2,2,2,35,3.3,-0.65,69,Y,-1.04,F,7,F,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,2,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,9,10606,9,2,7,1,40,3.3,1.05,64,Y,1.13,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,6,10619,6,1,7,3,32,3.3,0.04,65,Y,0.14,P,7,P,94,1,1,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +1,2,10644,1,2,7,3,33,3.3,-1.4,69,Y,-1.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +3,2,10649,3,2,7,1,39,3.3,-0.58,68,Y,-1.06,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,7,10657,6,2,7,4,40.5,3.3,0.22,70,Y,0.51,P,2,P,95,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,811.5789265,g 700+,h 760-820,0.9758194,3.3 +5,4,10694,6,1,2,3,38,3.3,-0.02,67,Y,-0.44,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,7,10699,7,1,7,1,43,3.3,0.44,68,Y,0.48,P,2,P,95,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +7,8,10709,7,2,7,1,40,3.3,0.45,68,Y,0.84,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,2,10723,4,2,7,4,35,3.3,-0.43,69,Y,-0.95,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +2,1,10724,2,2,7,1,35,3.3,-0.94,68,Y,-1.69,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,8,10727,7,2,7,5,36,3.3,0.57,69,Y,0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,10742,10,2,7,1,42,3.3,1.54,69,Y,1.59,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +1,1,10749,2,1,7,2,29,3.3,-1.13,54,Y,-1.56,F,7,F,95,2,4,-47,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +,,10770,,1,7,6,35,3.3,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,7,10794,7,1,7,1,42,3.3,0.51,64,Y,0.34,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +2,2,10797,2,1,7,2,28,3.3,-1.04,69,Y,-0.96,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,614.210514,e 580-640,e 580-640,0.9758194,3.3 +7,2,10808,7,2,7,3,38,3.3,0.43,69,Y,-1.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,6,10839,5,2,7,4,42,3.3,-0.16,65,Y,0.17,P,7,P,94,1,,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +7,8,10847,8,2,7,3,39,3.3,0.55,67,Y,0.8,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +7,6,10850,7,2,7,1,42,3.3,0.48,68,Y,0.21,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,9,10866,6,1,7,5,38,3.3,0.25,66,Y,0.83,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,7,10884,9,2,7,3,35,3.3,0.87,68,Y,0.55,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,4,10887,6,1,7,4,35,3.3,0.14,64,Y,-0.39,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,5,10895,7,2,7,3,37,3.3,0.44,69,Y,-0.26,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,10899,9,1,7,1,37,3.3,1.04,52,Y,1.24,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,10902,1,1,7,4,44,3.3,-1.48,59,Y,-1.6,F,7,F,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +4,3,10927,5,1,7,6,42,3.3,-0.23,66,Y,-0.65,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,835.263136,g 700+,i 820+,0.9758194,3.3 +1,1,10934,1,1,7,1,39,3.3,-1.29,69,Y,-2.61,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,2,10939,1,2,4,4,34,3.3,-1.5,56,Y,-1.15,P,2,P,94,1,1,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,3,10948,5,2,8,3,35,3.3,-0.05,66,Y,-0.62,P,7,P,94,1,3,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,10,10954,9,2,7,4,38,3.3,1.02,69,Y,1.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,10969,10,1,7,5,42,3.3,1.6,68,Y,1.46,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +6,8,10981,6,1,7,5,39,3.3,0.17,69,Y,0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,6,10983,6,2,7,1,41,3.3,0.21,68,Y,0.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +5,4,10985,6,1,7,3,31,3.3,0.01,68,Y,-0.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,10,10999,9,2,7,3,36,3.3,0.89,66,Y,1.47,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,8,11011,9,1,7,1,39,3.3,1.01,66,Y,0.79,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,5,11058,4,1,7,1,47,3.3,-0.41,67,Y,-0.24,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,914.210501,g 700+,i 820+,0.9758194,3.3 +6,6,11075,7,1,7,6,41,3.3,0.35,67,Y,0.05,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,4,11080,2,2,7,2,34,3.3,-0.98,69,Y,-0.59,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +6,7,11104,6,2,7,4,39,3.3,0.18,69,Y,0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,3,11106,7,2,7,1,33,3.3,0.32,66,Y,-0.55,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,5,11108,5,2,7,1,40,3.3,-0.03,68,Y,-0.17,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,4,11116,4,2,7,3,31.5,3.3,-0.4,59,Y,-0.39,P,2,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +8,5,11120,8,2,7,2,35,3.3,0.63,69,Y,-0.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,5,11130,6,1,7,3,34,3.3,0.02,68,Y,-0.18,P,2,P,95,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +9,8,11168,9,2,7,2,30,3.3,1.11,68,Y,0.75,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +6,4,11173,6,1,7,1,42,3.3,0.19,67,Y,-0.46,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +,,11175,10,1,7,3,40,3.3,1.76,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,3,11187,4,1,7,3,42,3.3,-0.43,68,Y,-0.69,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +3,1,11188,4,1,4,3,28,3.3,-0.5,63,Y,-1.54,P,2,P,95,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.210514,e 580-640,e 580-640,0.9758194,3.3 +1,1,11191,1,1,2,4,37,3.3,-1.95,69,Y,-2.3,P,7,P,95,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,4,11197,4,2,7,1,39,3.3,-0.24,65,Y,-0.38,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +8,7,11213,8,2,7,3,47,3.3,0.79,69,Y,0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,914.210501,g 700+,i 820+,0.9758194,3.3 +8,8,11223,8,2,7,1,37,3.3,0.66,69,Y,0.87,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,2,11237,2,2,7,3,39,3.3,-0.99,67,Y,-1.06,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +7,8,11246,7,2,7,3,41,3.3,0.32,66,Y,0.64,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +6,8,11254,6,2,7,1,40,3.3,0.24,69,Y,0.62,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,5,11262,5,1,7,1,38,3.3,0.03,67,Y,-0.05,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,1,11264,2,1,7,4,38,3.3,-1.14,68,Y,-1.64,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,6,11265,4,1,7,3,30.5,3.3,-0.25,39,Y,0.18,P,7,P,95,1,4,-32,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +6,7,11299,6,2,7,1,43,3.3,0.21,69,Y,0.45,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +9,10,11311,9,2,7,3,33,3.3,1.09,69,Y,1.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +1,1,11316,1,1,3,4,44,3.3,-2.1,69,Y,-2.52,P,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +6,5,11319,6,2,7,3,37,3.3,0.24,69,Y,-0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,6,11343,2,1,5,4,35,3.3,-1.04,68,Y,0.18,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,7,11354,6,1,7,2,33,3.3,0.04,68,Y,0.28,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +1,5,11363,2,1,3,6,34,3.3,-1.24,69,Y,-0.16,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,2,11397,1,2,2,5,44,3.3,-1.52,67,Y,-0.91,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +,,11415,,1,7,5,41,3.3,,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +5,6,11416,5,1,7,4,40,3.3,-0.13,69,Y,0.2,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,11457,2,1,7,1,32,3.3,-1.16,67,Y,-2.08,F,7,F,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +2,4,11472,3,2,7,3,41,3.3,-0.76,69,Y,-0.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +6,7,11496,7,2,7,3,41,3.3,0.26,69,Y,0.39,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +,,11525,,1,7,,40,3.3,0.99,61,Y,0.87,P,7,P,94,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,11572,9,2,7,3,42,3.3,0.93,63,Y,,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +9,8,11605,9,2,7,4,40,3.3,1.12,67,Y,0.69,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,8,11608,6,1,7,5,42,3.3,0.25,66,Y,0.6,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +4,1,11625,4,2,7,1,38,3.3,-0.32,68,Y,-1.71,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,8,11676,7,1,7,3,30.3,3.3,0.51,67,Y,0.69,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.5263019,f 640-700,f 640-700,0.9758194,3.3 +8,8,11687,8,2,7,1,42,3.3,0.81,66,Y,0.65,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +7,6,11696,7,1,7,1,39,3.3,0.49,69,Y,0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,3,11699,3,2,7,5,48,3.3,-0.72,68,Y,-0.8,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +9,9,11701,9,1,7,4,37,3.3,0.95,65,Y,1.08,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,7,11708,6,2,7,3,38,3.3,0.05,56,Y,0.34,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,7,11714,7,2,7,3,35,3.3,0.48,65,Y,0.5,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,10,11715,9,2,7,1,47,3.3,1.03,64,Y,1.44,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,914.210501,g 700+,i 820+,0.9758194,3.3 +5,6,11719,6,2,8,3,41,3.3,0.02,70,Y,0.17,P,7,P,94,1,3,-63,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +5,8,11734,5,1,7,4,42,3.3,-0.01,70,Y,0.8,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +7,7,11749,7,2,7,2,31,3.3,0.36,68,Y,0.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,10,11757,9,2,7,1,43,3.3,1.13,67,Y,1.5,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +10,10,11794,10,2,7,3,41,3.3,1.88,69,Y,1.64,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +,,11803,,1,2,5,32.5,3.3,,71,Y,,P,2,P,95,1,5,-69,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +4,3,11841,4,2,7,3,39,3.3,-0.32,68,Y,-0.65,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,2,11842,1,1,7,3,35,3.3,-1.39,47,Y,-0.96,F,7,P,96,2,3,-40,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,8,11846,9,2,7,4,41,3.3,0.98,55,Y,0.64,P,7,P,95,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +5,7,11859,5,1,7,4,34.5,3.3,-0.07,69,Y,0.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.8420885,g 700+,g 700-760,0.9758194,3.3 +7,6,11884,7,1,7,1,44,3.3,0.49,68,Y,0.05,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +7,8,11894,7,1,7,3,34,3.3,0.37,63,Y,0.81,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +9,10,11927,9,1,7,3,36,3.3,1.02,64,Y,1.35,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,7,11932,7,1,7,5,40,3.3,0.5,59,Y,0.34,P,7,P,94,2,4,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,8,11943,9,2,7,3,35,3.3,0.94,62,Y,0.84,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,6,11946,4,2,7,3,42,3.3,-0.35,67,Y,0.08,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +6,6,11957,6,2,7,3,38,3.3,0.18,68,Y,0.24,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,3,11962,1,1,7,3,37,3.3,-1.45,68,Y,-0.8,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,3,11983,3,2,7,1,42,3.3,-0.64,69,Y,-0.73,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +3,1,11996,3,1,7,5,36,3.3,-0.83,66,Y,-1.82,F,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,2,12001,5,2,3,4,36,3.3,-0.22,69,Y,-0.91,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,4,12039,3,1,7,4,46,3.3,-0.51,69,Y,-0.26,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +,,12059,7,2,7,4,42.5,3.3,0.52,66,X,,P,2,P,96,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.1578725,g 700+,i 820+,0.9758194,3.3 +9,9,12063,9,1,7,2,41,3.3,1.18,69,Y,1.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,1,12064,2,2,7,1,35,3.3,-1.13,57,Y,-1.83,F,2,F,95,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,6,12069,6,2,7,1,44,3.3,0.1,67,Y,0.03,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +8,8,12076,9,1,7,2,32,3.3,0.84,60,Y,0.76,P,2,P,95,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +4,4,12088,5,2,7,3,31,3.3,-0.24,68,Y,-0.5,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +7,7,12107,7,2,7,1,41,3.3,0.48,64,Y,0.55,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,3,12112,2,2,7,1,41,3.3,-1.15,69,Y,-0.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +8,9,12115,8,2,7,3,35,3.3,0.75,69,Y,0.99,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +,,12123,1,1,7,5,44,3.3,-1.29,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +6,6,12135,6,2,7,1,34,3.3,0.26,69,Y,0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,4,12139,5,1,7,1,35,3.3,-0.15,69,Y,-0.34,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,7,12145,8,2,2,4,48,3.3,0.85,66,Y,0.46,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +9,9,12155,9,2,7,1,39,3.3,1.2,52,Y,0.96,P,7,P,94,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +7,8,12162,7,1,7,4,36,3.3,0.41,69,Y,0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,12165,2,1,7,3,40,3.3,-1.28,68,Y,-1.41,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,4,12173,8,2,7,3,34,3.3,0.75,67,Y,-0.4,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,12239,10,1,7,4,37,3.3,1.46,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,4,12241,2,2,7,1,43,3.3,-0.98,67,Y,-0.46,P,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +6,6,12248,6,1,6,1,32,3.3,0.19,68,Y,0.17,P,2,P,94,1,4,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +1,1,12253,2,1,7,3,35,3.3,-1.29,69,Y,-1.57,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,6,12256,5,2,7,3,33,3.3,-0.08,69,Y,0.03,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,5,12262,5,2,7,1,40,3.3,-0.01,69,Y,-0.01,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,8,12273,5,1,7,3,35,3.3,-0.03,69,Y,0.59,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,5,12285,6,2,7,3,33,3.3,0.24,62,Y,-0.21,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +7,6,12299,7,1,7,5,40,3.3,0.58,67,Y,0.14,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,6,12311,4,1,7,3,35.5,3.3,-0.37,68,Y,0.21,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +,,12319,8,2,7,3,38,3.3,0.77,67,Y,,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,8,12320,9,1,7,1,40,3.3,0.98,66,Y,0.79,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,12332,,1,7,3,40,3.3,,70,Y,-0.64,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,12346,10,2,7,1,42,3.3,1.59,68,Y,1.67,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,5,12362,6,1,6,4,47,3.3,0.15,68,Y,-0.05,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +9,9,12372,9,1,7,3,34,3.3,1.13,69,Y,0.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,1,12398,2,1,7,5,42.5,3.3,-1.12,64,Y,-1.94,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.1578725,g 700+,i 820+,0.9758194,3.3 +7,7,12433,7,2,7,2,33,3.3,0.5,65,Y,0.48,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,9,12439,10,1,8,4,38,3.3,1.45,67,Y,1.27,P,7,P,94,1,4,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,3,12443,3,2,8,2,33.5,3.3,-0.8,63,Y,-0.77,F,7,P,96,2,3,-56,male,1,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,2,701.0526155,g 700+,g 700-760,0.9758194,3.3 +10,9,12458,10,2,7,1,39,3.3,1.32,67,Y,1.14,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,7,12479,6,2,7,1,31.5,3.3,0.27,57,Y,0.53,P,7,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +2,2,12487,3,2,1,1,37,3.3,-0.74,68,Y,-1.05,F,7,P,95,1,3,-61,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,6,12492,6,2,7,4,37,3.3,0.15,69,Y,0.26,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,7,12495,7,1,7,1,44,3.3,0.34,69,Y,0.44,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +4,5,12502,5,1,7,4,40,3.3,-0.24,69,Y,-0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,7,12509,7,2,7,3,38,3.3,0.3,69,Y,0.31,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,4,12528,6,2,7,1,45,3.3,0.19,69,Y,-0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +9,10,12554,9,1,7,4,37,3.3,1,69,Y,1.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,9,12555,5,2,7,3,36,3.3,-0.19,65,Y,1.09,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,9,12575,9,1,7,2,31,3.3,1.16,68,Y,1.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +2,4,12600,3,2,7,1,40,3.3,-0.73,69,Y,-0.48,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,5,12611,6,1,7,3,35.5,3.3,0.21,62,Y,-0.14,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +6,3,12615,7,1,7,1,34,3.3,0.3,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,12625,10,2,7,4,47,3.3,1.59,69,Y,1.52,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +10,10,12626,10,2,7,4,42,3.3,1.9,66,Y,1.41,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +3,3,12677,3,2,7,4,33,3.3,-0.54,63,Y,-0.65,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,3,12706,4,1,7,4,46,3.3,-0.45,64,Y,-0.53,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +2,2,12711,3,1,7,4,43,3.3,-0.8,66,Y,-0.88,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +2,4,12740,2,1,7,1,40,3.3,-1.04,68,Y,-0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,8,12742,9,1,7,1,42,3.3,0.92,65,Y,0.76,P,7,P,94,1,,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,7,12744,6,2,7,3,34,3.3,0.12,69,Y,0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,6,12749,3,1,7,3,37,3.3,-0.6,65,Y,0.24,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,3,12765,6,1,7,3,42,3.3,0.12,67,Y,-0.66,F,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +8,9,12767,9,2,7,3,37,3.3,0.84,64,Y,0.99,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,6,12768,10,2,7,4,35,3.3,1.76,66,Y,0.23,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,1,12771,2,2,4,6,26.5,3.3,-1.27,56,Y,-1.89,F,7,F,94,1,1,-49,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,590.5263045,e 580-640,e 580-640,0.9758194,3.3 +,,12838,2,1,7,5,42,3.3,-1.15,70,Y,,F,7,F,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +8,4,12864,8,2,7,3,36,3.3,0.71,69,Y,-0.43,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +,,12866,,1,7,1,39,3.3,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,4,12872,6,1,7,5,42,3.3,0.25,64,Y,-0.25,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +3,5,12906,3,2,7,3,33,3.3,-0.68,69,Y,-0.15,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,3,12907,5,2,7,4,38,3.3,-0.1,69,Y,-0.77,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,3,12933,6,2,7,1,37,3.3,0.28,67,Y,-0.62,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,6,12955,5,2,7,3,41,3.3,-0.07,69,Y,0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +6,7,12968,6,2,7,4,35,3.3,0.07,68,Y,0.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,8,12982,9,1,7,4,46,3.3,1.04,66,Y,0.75,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +7,6,13043,7,2,6,3,38,3.3,0.47,68,Y,0.19,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,3,13048,4,2,7,1,45,3.3,-0.46,65,Y,-0.84,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +4,2,13058,5,2,7,3,40,3.3,-0.24,69,Y,-1.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,13079,,2,7,5,40,3.3,,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,4,13091,7,1,7,1,42,3.3,0.47,65,Y,-0.34,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +5,5,13106,6,2,7,4,41,3.3,0.01,68,Y,-0.18,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,1,13138,2,1,7,3,37,3.3,-1.08,69,Y,-1.48,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,7,13152,6,1,7,4,37,3.3,0.21,69,Y,0.33,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,4,13158,2,1,2,3,34.5,3.3,-1.17,69,Y,-0.55,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +9,10,13191,9,2,7,1,33,3.3,1.23,53,Y,1.48,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,9,13196,9,2,7,5,45,3.3,1.08,64,Y,0.99,P,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +9,9,13205,9,2,7,4,42,3.3,1.08,64,Y,1.22,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +,,13210,,2,7,5,42,3.3,,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +,,13216,,2,7,4,36,3.3,,69,Y,,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,5,13249,5,2,7,1,37,3.3,-0.17,69,Y,-0.08,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,9,13309,5,1,7,1,43,3.3,-0.07,70,Y,1.08,P,2,P,95,1,5,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +9,5,13312,9,2,7,4,40,3.3,0.93,66,Y,-0.03,P,7,P,95,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,9,13314,10,1,6,3,42,3.3,1.33,62,Y,1.26,P,7,P,94,1,2,-55,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +2,4,13334,2,1,7,5,44,3.3,-0.96,63,Y,-0.49,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +5,5,13359,6,2,7,1,38,3.3,0.06,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +,,13364,,1,7,5,41,3.3,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,2,13365,3,1,5,3,22,3.3,-0.76,70,Y,-0.98,P,7,P,94,1,1,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,519.473676,c 460-520,c 460-520,0.9758194,3.3 +9,9,13379,9,1,7,1,43,3.3,1.06,69,Y,1.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +7,4,13388,7,2,7,2,39,3.3,0.39,69,Y,-0.49,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,8,13394,6,2,7,1,38,3.3,0.23,65,Y,0.78,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,1,13415,1,2,3,4,31,3.3,-1.3,69,Y,-1.68,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,661.578933,f 640-700,f 640-700,0.9758194,3.3 +3,3,13481,3,2,7,4,40,3.3,-0.52,64,Y,-0.6,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +2,1,13504,2,1,2,1,30,3.3,-1.08,62,Y,-1.67,F,7,P,95,1,1,-55,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,645.78946,f 640-700,f 640-700,0.9758194,3.3 +2,1,13518,2,2,7,3,37,3.3,-1.07,69,Y,-1.71,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,4,13535,3,2,7,3,40,3.3,-0.54,67,Y,-0.49,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,6,13574,7,2,7,1,39,3.3,0.42,69,Y,0.21,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +7,6,13595,8,2,7,1,39,3.3,0.58,69,Y,0.2,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,3,13597,5,1,7,1,35,3.3,-0.03,47,Y,-0.68,P,7,P,94,1,4,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,5,13613,5,1,7,3,37,3.3,-0.13,69,Y,-0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,10,13619,8,1,7,3,45,3.3,0.64,67,Y,1.45,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,882.631555,g 700+,i 820+,0.9758194,3.3 +10,9,13626,10,2,7,1,46,3.3,1.35,67,Y,1.23,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +5,4,13636,5,2,7,2,36,3.3,-0.16,68,Y,-0.51,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,6,13640,6,2,7,1,42,3.3,0.26,68,Y,0.27,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +2,1,13664,2,1,5,5,37.5,3.3,-0.91,64,Y,-1.62,P,7,P,95,1,1,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,764.2105075,g 700+,h 760-820,0.9758194,3.3 +7,6,13683,7,2,7,4,34,3.3,0.31,68,Y,0.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,708.947352,g 700+,g 700-760,0.9758194,3.3 +8,7,13688,8,2,7,5,42,3.3,0.64,67,Y,0.41,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +9,10,13705,9,1,7,3,38,3.3,1.21,65,Y,1.93,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,6,13711,4,1,7,1,38,3.3,-0.48,51,Y,0.16,P,2,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,3,13752,2,1,3,1,31,3.3,-1.09,68,Y,-0.78,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,661.578933,f 640-700,f 640-700,0.9758194,3.3 +7,8,13756,7,1,7,3,38,3.3,0.39,70,Y,0.63,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,1,13766,2,1,7,1,31,3.3,-1.28,45,Y,-1.62,F,7,P,96,1,3,-38,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,661.578933,f 640-700,f 640-700,0.9758194,3.3 +4,4,13768,4,1,7,1,42,3.3,-0.4,67,Y,-0.46,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +10,7,13781,10,2,7,2,29,3.3,1.76,69,Y,0.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +1,1,13785,1,1,3,1,38,3.3,-2.22,69,Y,-2.08,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,8,13808,8,2,7,5,48,3.3,0.95,67,Y,0.81,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +3,3,13836,4,1,7,1,38,3.3,-0.46,68,Y,-0.69,P,2,P,94,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,7,13839,7,2,7,3,31,3.3,0.42,67,Y,0.53,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +7,8,13849,7,2,7,3,33.5,3.3,0.47,68,Y,0.68,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.0526155,g 700+,g 700-760,0.9758194,3.3 +5,7,13850,5,2,7,3,39,3.3,-0.1,68,Y,0.52,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,2,13885,3,1,7,2,32,3.3,-0.65,69,Y,-1.08,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,3,13910,7,2,7,1,37,3.3,0.39,69,Y,-0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,2,13920,2,2,7,1,35,3.3,-1.06,68,Y,-1.2,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,3,13921,4,2,7,3,37,3.3,-0.45,68,Y,-0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,5,13925,4,1,7,2,30,3.3,-0.41,68,Y,-0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +6,7,13951,6,2,7,5,45,3.3,0.29,68,Y,0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +2,2,13957,2,1,2,4,30,3.3,-0.98,67,Y,-1.08,F,7,P,95,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,645.78946,f 640-700,f 640-700,0.9758194,3.3 +3,2,13974,3,2,7,3,29.5,3.3,-0.59,65,Y,-1.15,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.8947235,e 580-640,e 580-640,0.9758194,3.3 +2,4,13998,2,1,4,1,32,3.3,-0.83,53,Y,-0.31,P,7,P,94,1,2,-46,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,5,14015,6,1,7,1,42,3.3,0.09,57,Y,-0.25,P,7,P,94,1,1,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,5,14016,6,1,7,5,48,3.3,0.27,63,Y,-0.1,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +10,9,14023,10,1,7,2,35,3.3,1.37,68,Y,1.07,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,5,14024,5,1,7,3,37,3.3,-0.19,66,Y,-0.12,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,14029,2,1,3,2,25,3.3,-1.1,69,Y,-1.97,P,2,P,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,566.842095,d 520-580,d 520-580,0.9758194,3.3 +10,10,14038,10,2,7,1,47,3.3,2.18,68,Y,1.96,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,914.210501,g 700+,i 820+,0.9758194,3.3 +5,7,14051,6,2,7,4,47,3.3,0.02,64,Y,0.43,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +10,9,14055,10,2,7,3,40,3.3,1.77,67,Y,1.06,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,14071,10,2,7,1,43,3.3,1.81,54,Y,1.59,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +,,14073,10,2,2,5,41,3.3,2.14,67,Y,,P,7,P,95,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,10,14078,10,2,7,3,35,3.3,2.16,65,Y,1.71,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +2,4,14089,2,1,7,2,30,3.3,-0.94,49,Y,-0.42,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +4,3,14105,4,1,7,3,31,3.3,-0.4,69,Y,-0.69,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,9,14107,9,1,7,5,33,3.3,1.27,70,Y,0.91,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,10,14113,10,2,7,3,38,3.3,1.64,66,Y,1.67,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +,,14117,,1,7,5,43,3.3,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,851.052609,g 700+,i 820+,0.9758194,3.3 +1,2,14125,2,2,7,3,37,3.3,-1.23,65,Y,-1.01,F,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,2,14137,3,2,7,2,31,3.3,-0.71,62,Y,-1.11,F,7,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +1,1,14152,1,2,7,5,38,3.3,-1.82,60,Y,-2.37,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,4,14167,5,2,7,1,33.5,3.3,-0.22,68,Y,-0.39,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.0526155,g 700+,g 700-760,0.9758194,3.3 +2,3,14168,2,2,7,3,38,3.3,-0.9,68,Y,-0.79,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,8,14190,8,2,7,1,42,3.3,0.72,65,Y,0.63,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +5,6,14206,6,2,7,3,33,3.3,0.05,65,Y,0.06,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,9,14211,10,2,7,1,35,3.3,1.32,62,Y,1.08,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,2,14215,3,1,4,1,34,3.3,-0.71,68,Y,-1,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,14239,10,1,7,1,42,3.3,1.86,62,Y,1.85,P,2,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +8,6,14247,8,2,7,3,35,3.3,0.76,69,Y,0.19,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,1,14249,1,1,3,1,22,3.3,-1.63,69,Y,-1.94,F,7,F,95,2,4,-62,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,519.473676,c 460-520,c 460-520,0.9758194,3.3 +6,9,14252,7,2,7,3,36,3.3,0.28,66,Y,0.9,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +8,7,14261,8,1,7,3,34,3.3,0.62,67,Y,0.52,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +7,6,14262,7,1,7,1,44,3.3,0.44,64,Y,0.25,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +5,7,14292,5,1,7,3,41,3.3,-0.06,68,Y,0.45,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,10,14325,10,1,7,5,38,3.3,1.91,68,Y,2.44,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,2,14333,2,2,7,4,43,3.3,-0.84,63,Y,-1.16,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +8,7,14350,8,1,7,3,36,3.3,0.6,57,Y,0.31,P,7,P,95,2,3,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,3,14364,3,2,7,3,33,3.3,-0.69,67,Y,-0.75,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +,,14368,8,1,7,3,39,3.3,0.82,64,Y,,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,1,14373,1,2,7,3,39,3.3,-1.67,68,Y,-1.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,4,14382,4,2,6,3,38,3.3,-0.36,69,Y,-0.54,F,7,F,94,1,1,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +,,14414,8,2,7,5,45,3.3,0.68,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +5,5,14430,6,2,7,2,33,3.3,-0.01,68,Y,-0.07,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,3,14438,5,2,2,5,36,3.3,-0.14,67,Y,-0.55,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,4,14456,3,1,7,1,41,3.3,-0.79,64,Y,-0.37,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,8,14461,9,2,7,1,36,3.3,1.2,68,Y,0.79,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,3,14469,3,1,7,5,48,3.3,-0.84,51,Y,-0.63,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +9,9,14476,9,1,7,1,42,3.3,1.2,64,Y,1.17,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +8,8,14558,8,1,7,1,36,3.3,0.79,54,Y,0.86,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,3,14572,3,1,7,3,32,3.3,-0.82,69,Y,-0.88,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +2,3,14573,2,2,4,4,35,3.3,-0.84,64,Y,-0.57,F,7,F,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,6,14587,5,2,7,1,34,3.3,-0.07,68,Y,0.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,9,14603,10,1,2,1,41,3.3,1.39,68,Y,1.27,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,9,14631,9,2,7,5,42,3.3,1.18,65,Y,1,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +3,5,14641,4,2,7,3,38,3.3,-0.48,67,Y,-0.08,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,8,14663,7,1,7,3,39.5,3.3,0.36,66,Y,0.56,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.7894535,g 700+,h 760-820,0.9758194,3.3 +5,4,14689,5,1,7,3,37,3.3,-0.13,67,Y,-0.3,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,14705,2,2,7,3,32,3.3,-1.16,67,Y,-1.59,P,2,P,94,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +,,14708,,2,7,3,34,3.3,,69,Y,-0.88,F,7,P,96,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +4,5,14724,4,1,7,1,39,3.3,-0.31,68,Y,-0.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,3,14727,4,1,7,3,35,3.3,-0.31,69,Y,-0.56,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,9,14741,9,1,7,3,37,3.3,0.86,67,Y,1.03,P,2,P,96,2,4,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,4,14768,3,1,7,3,29,3.3,-0.53,67,Y,-0.56,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +5,6,14771,5,2,7,3,37,3.3,-0.02,68,Y,0.15,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,2,14784,4,1,7,1,32,3.3,-0.41,66,Y,-1.02,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,4,14810,5,1,3,1,22,3.3,-0.16,63,Y,-0.52,P,2,P,95,2,4,-61,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,519.473676,c 460-520,c 460-520,0.9758194,3.3 +,,14855,,1,7,,39,3.3,2.02,68,Y,2.1,P,2,P,95,2,3,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,3,14861,2,1,3,3,28.5,3.3,-0.99,68,Y,-0.82,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,622.1052505,e 580-640,e 580-640,0.9758194,3.3 +5,3,14872,5,2,2,3,33,3.3,-0.14,69,Y,-0.72,F,7,F,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,8,14910,5,1,7,3,48,3.3,-0.19,66,Y,0.61,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,929.999974,g 700+,i 820+,0.9758194,3.3 +6,9,14923,7,1,7,4,35,3.3,0.27,67,Y,0.9,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,5,14926,8,2,7,4,33,3.3,0.69,68,Y,-0.02,P,2,P,95,2,,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,6,14933,3,1,7,6,38,3.3,-0.66,50,Y,0.04,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,9,14936,9,2,5,3,29,3.3,0.97,62,Y,1.18,P,7,P,95,2,3,-55,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +9,9,14951,9,2,7,5,37.5,3.3,1.15,68,Y,1.03,F,7,P,95,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,764.2105075,g 700+,h 760-820,0.9758194,3.3 +2,4,14955,2,2,7,3,36,3.3,-0.84,69,Y,-0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,8,14986,7,1,7,4,40,3.3,0.43,51,Y,0.57,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,6,15014,7,2,7,4,48,3.3,0.48,69,Y,0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +8,9,15019,9,2,7,1,41,3.3,0.89,69,Y,0.94,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +8,8,15029,8,2,7,3,35,3.3,0.8,69,Y,0.78,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,7,15031,8,1,7,3,35,3.3,0.58,69,Y,0.49,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,7,15035,4,1,7,3,36,3.3,-0.39,58,Y,0.42,P,2,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,8,15047,7,2,7,3,36,3.3,0.43,69,Y,0.55,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,6,15052,7,2,7,1,37,3.3,0.41,68,Y,0.24,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,3,15059,2,1,7,3,31,3.3,-1.17,69,Y,-0.67,F,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +5,5,15065,5,1,7,4,30,3.3,-0.07,61,Y,-0.08,P,2,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,645.78946,f 640-700,f 640-700,0.9758194,3.3 +3,3,15070,3,1,1,1,29,3.3,-0.59,64,Y,-0.67,F,7,F,94,1,3,-57,female,0,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,629.999987,e 580-640,e 580-640,0.9758194,3.3 +10,10,15115,10,1,7,1,35,3.3,1.38,65,Y,1.99,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,6,15122,5,2,7,3,36,3.3,-0.13,66,Y,-0.01,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,2,15151,2,1,7,1,40,3.3,-1.17,69,Y,-1.33,P,2,P,95,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,9,15159,9,1,7,1,34,3.3,0.94,68,Y,0.93,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,4,15161,3,2,7,3,40,3.3,-0.59,67,Y,-0.5,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,8,15175,9,1,7,4,44,3.3,0.86,67,Y,0.65,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +8,9,15188,8,2,7,1,40,3.3,0.8,68,Y,1.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,2,15201,2,1,7,1,39,3.3,-1.25,57,Y,-1.02,P,2,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,9,15241,9,2,7,3,30,3.3,0.95,69,Y,1.11,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +4,3,15257,4,1,7,1,38,3.3,-0.39,69,Y,-0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,15258,10,1,7,4,36,3.3,2.06,69,Y,2.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,5,15266,5,1,7,4,42,3.3,-0.24,67,Y,-0.2,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +4,2,15281,4,2,7,3,39,3.3,-0.28,69,Y,-0.91,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,3,15284,4,2,7,3,39,3.3,-0.26,65,Y,-0.86,F,7,F,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,6,15285,6,1,7,4,40,3.3,0.21,69,Y,0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,4,15301,6,1,7,3,32,3.3,0.24,69,Y,-0.45,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +1,4,15303,2,1,7,1,44,3.3,-1.26,70,Y,-0.51,P,,P,,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +2,2,15327,2,1,7,3,44,3.3,-0.87,69,Y,-0.99,P,2,P,94,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,866.842082,g 700+,i 820+,0.9758194,3.3 +5,5,15338,5,1,7,1,48,3.3,-0.12,69,Y,-0.06,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,929.999974,g 700+,i 820+,0.9758194,3.3 +5,5,15344,6,2,7,4,44,3.3,0.05,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +7,10,15356,7,1,7,1,31,3.3,0.53,65,Y,1.76,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,661.578933,f 640-700,f 640-700,0.9758194,3.3 +1,1,15361,2,1,7,2,27,3.3,-1.17,53,Y,-1.43,F,7,F,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,598.421041,e 580-640,e 580-640,0.9758194,3.3 +1,2,15401,2,2,7,3,32,3.3,-1.13,68,Y,-1.07,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,10,15407,9,1,7,4,37,3.3,1.11,68,Y,1.31,P,2,P,96,2,4,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,15415,9,2,7,3,39,3.3,0.96,64,Y,1.24,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,6,15435,6,2,7,4,43,3.3,0.19,68,Y,0.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +6,7,15439,6,1,7,2,31,3.3,0.18,69,Y,0.25,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,9,15447,9,1,2,3,47,3.3,1.18,68,Y,1.12,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,914.210501,g 700+,i 820+,0.9758194,3.3 +1,1,15451,1,1,6,5,39,3.3,-1.53,68,Y,-2.97,F,7,P,95,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,6,15452,4,2,7,1,43,3.3,-0.34,69,Y,0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +5,5,15458,6,2,7,3,36,3.3,0.01,59,Y,-0.13,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,6,15470,5,2,7,3,27,3.3,-0.03,69,Y,0.1,P,2,P,95,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +8,8,15475,8,2,7,3,41,3.3,0.72,68,Y,0.78,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,8,15486,7,2,7,3,45,3.3,0.48,69,Y,0.73,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,882.631555,g 700+,i 820+,0.9758194,3.3 +10,8,15563,10,1,7,4,39,3.3,1.3,69,Y,0.86,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,2,15577,1,1,2,3,36,3.3,-1.42,69,Y,-1.29,F,7,P,95,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,4,15578,3,1,7,3,32,3.3,-0.64,68,Y,-0.29,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,5,15584,5,1,7,4,35,3.3,-0.15,69,Y,-0.15,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,7,15612,5,1,7,3,32.5,3.3,-0.09,68,Y,0.32,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +6,5,15623,6,2,7,1,40,3.3,0.16,63,Y,-0.23,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,2,15651,1,1,3,4,29,3.3,-1.34,63,Y,-1.27,F,7,P,96,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,629.999987,e 580-640,e 580-640,0.9758194,3.3 +5,6,15658,5,2,7,4,33.5,3.3,-0.1,54,Y,0.17,P,2,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,701.0526155,g 700+,g 700-760,0.9758194,3.3 +6,7,15659,6,1,7,1,41,3.3,0.28,67,Y,0.49,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +,,15681,,2,7,5,41,3.3,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,5,15712,4,1,7,1,32,3.3,-0.45,67,Y,-0.03,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +2,2,15718,3,1,7,3,36,3.3,-0.76,60,Y,-0.89,P,7,P,95,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,3,15733,4,2,7,3,34,3.3,-0.39,62,Y,-0.63,F,7,F,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,5,15743,6,2,7,2,29,3.3,0.03,69,Y,-0.21,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +2,3,15763,2,1,7,1,36,3.3,-1.09,67,Y,-0.66,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,15770,10,1,7,3,32.3,3.3,1.49,62,Y,1.54,P,2,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.1052479,f 640-700,f 640-700,0.9758194,3.3 +8,8,15783,8,2,7,5,45,3.3,0.88,69,Y,0.62,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +7,7,15785,7,1,7,3,38,3.3,0.33,67,Y,0.44,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,6,15841,7,2,7,3,32,3.3,0.36,69,Y,0.1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,9,15852,9,2,7,3,40,3.3,1.13,69,Y,1.21,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,15854,2,1,7,4,40,3.3,-1.2,68,Y,-1.34,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,15864,8,1,7,3,40,3.3,0.72,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,9,15875,8,2,7,1,39.5,3.3,0.66,69,Y,0.96,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.7894535,g 700+,h 760-820,0.9758194,3.3 +3,1,15905,3,1,7,4,41,3.3,-0.75,69,Y,-1.54,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,4,15919,4,1,7,3,29,3.3,-0.44,68,Y,-0.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +,,15920,2,2,7,3,33,3.3,-0.95,64,Y,,F,7,F,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +,,15932,,2,7,1,38,3.3,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,6,15933,7,2,7,3,38,3.3,0.49,69,Y,0.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,5,15944,3,1,7,5,46,3.3,-0.77,63,Y,-0.12,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,898.421028,g 700+,i 820+,0.9758194,3.3 +4,4,15945,4,1,7,1,38,3.3,-0.29,68,Y,-0.44,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,16004,10,2,7,1,43,3.3,1.73,68,Y,1.37,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +5,5,16013,5,1,7,1,37,3.3,-0.09,69,Y,-0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,16017,9,1,7,1,46,3.3,1.27,65,Y,1.27,P,6,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +,,16044,,2,7,1,42,3.3,,66,X,,P,2,P,96,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +9,10,16052,9,1,7,3,39,3.3,1.19,50,Y,1.81,P,2,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,6,16065,6,2,7,3,39,3.3,0.08,66,Y,-0.01,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,4,16075,3,2,3,3,32,3.3,-0.66,64,Y,-0.37,F,7,P,95,1,4,-57,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +3,3,16118,4,1,7,3,34,3.3,-0.46,66,Y,-0.61,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,16124,10,1,7,2,41,3.3,2.39,69,Y,2.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,819.473663,g 700+,h 760-820,0.9758194,3.3 +8,8,16125,8,2,7,3,37,3.3,0.73,69,Y,0.67,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,3,16148,3,1,7,3,38,3.3,-0.65,57,Y,-0.8,P,7,P,95,2,4,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,4,16171,5,1,7,3,39,3.3,-0.11,69,Y,-0.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,16178,,2,2,3,35,3.3,,69,X,,P,7,P,95,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,4,16218,3,2,7,1,37,3.3,-0.73,67,Y,-0.53,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,2,16220,2,2,2,4,32,3.3,-0.91,65,Y,-0.87,P,7,P,94,1,1,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,4,16227,5,2,4,1,34,3.3,-0.08,68,Y,-0.48,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +9,9,16243,9,1,2,1,44,3.3,1.06,69,Y,1.22,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +1,4,16252,1,1,7,3,37,3.3,-1.46,70,Y,-0.47,P,7,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,16263,10,1,7,3,40,3.3,1.33,69,Y,1.48,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +2,2,16277,3,2,7,3,39,3.3,-0.81,69,Y,-1.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,2,16282,2,1,7,3,40,3.3,-0.95,69,Y,-0.96,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,6,16283,7,1,7,3,38,3.3,0.37,69,Y,0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,6,16289,8,1,7,4,38,3.3,0.66,57,Y,0.26,P,2,P,95,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,6,16325,5,1,7,3,40,3.3,-0.24,69,Y,0.04,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,6,16326,7,1,7,3,36.5,3.3,0.26,69,Y,0.19,P,2,P,94,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.4210345,g 700+,g 700-760,0.9758194,3.3 +5,5,16327,5,1,7,5,37,3.3,-0.02,68,Y,-0.09,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,16330,,2,7,5,45,3.3,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +3,5,16334,3,1,7,1,38,3.3,-0.57,65,Y,-0.13,P,7,P,95,2,1,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,9,16359,10,1,6,1,39,3.3,1.3,69,Y,0.88,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,10,16396,10,1,7,1,41,3.3,1.33,67,Y,1.55,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +,,16410,,1,7,4,43,3.3,,44,Y,,P,7,P,95,2,3,-37,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +6,3,16425,6,1,3,1,33,3.3,0.14,69,Y,-0.67,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,8,16434,5,2,7,5,44,3.3,0.01,65,Y,0.69,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +6,5,16446,6,1,7,3,34,3.3,0.22,45,Y,-0.25,P,7,P,95,1,3,-38,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +9,9,16456,9,2,7,3,36,3.3,0.93,69,Y,0.93,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,5,16463,6,1,7,3,36,3.3,0.06,68,Y,-0.16,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,9,16470,10,1,7,3,30,3.3,1.39,69,Y,0.97,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +6,4,16492,6,2,7,3,32,3.3,0.13,67,Y,-0.3,P,6,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +2,3,16496,2,1,7,1,41,3.3,-1.04,63,Y,-0.79,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,9,16508,9,2,7,3,35,3.3,0.91,68,Y,1.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,5,16524,4,2,7,1,40,3.3,-0.32,69,Y,-0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,2,16576,3,1,7,3,33,3.3,-0.59,69,Y,-1.02,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,3,16577,4,2,7,4,43,3.3,-0.25,55,Y,-0.77,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +5,4,16589,5,2,7,4,35,3.3,-0.08,68,Y,-0.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,3,16603,5,1,2,3,38,3.3,-0.19,69,Y,-0.67,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,4,16637,5,1,7,1,38,3.3,-0.21,69,Y,-0.52,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,1,16643,1,1,7,4,36,3.3,-1.93,70,Y,-1.89,P,7,P,95,2,1,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,4,16650,10,2,7,5,41.5,3.3,1.83,61,Y,-0.4,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.3683995,g 700+,i 820+,0.9758194,3.3 +9,9,16655,9,1,7,3,39,3.3,1.17,69,Y,1.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,10,16660,10,2,7,2,41,3.3,1.77,67,Y,2.47,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,819.473663,g 700+,h 760-820,0.9758194,3.3 +,,16661,5,2,7,5,47,3.3,0.03,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,914.210501,g 700+,i 820+,0.9758194,3.3 +10,10,16692,10,1,7,3,29,3.3,1.48,68,Y,1.4,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +7,6,16746,7,1,7,2,30,3.3,0.44,57,Y,0.13,F,7,P,95,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +3,3,16761,3,2,8,3,36,3.3,-0.54,67,Y,-0.63,F,7,P,95,1,4,-60,male,0,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +8,7,16763,8,1,7,3,35.5,3.3,0.64,69,Y,0.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +10,10,16764,10,2,7,1,40,3.3,1.31,69,Y,1.53,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,4,16783,4,2,8,1,36,3.3,-0.43,64,Y,-0.49,P,7,P,94,1,3,-57,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,2,16831,4,2,7,3,38,3.3,-0.36,58,Y,-0.89,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,7,16833,7,2,7,4,41,3.3,0.48,69,Y,0.46,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,6,16840,7,1,6,5,33,3.3,0.57,68,Y,0.23,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,8,16846,9,1,7,1,43,3.3,1.07,69,Y,0.81,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +6,7,16853,6,2,7,3,37,3.3,0.24,62,Y,0.48,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,16861,1,1,7,1,42,3.3,-1.57,66,Y,-2.13,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,8,16901,6,1,7,3,34,3.3,0.12,68,Y,0.67,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,2,16929,2,2,7,1,37.5,3.3,-0.9,65,Y,-1.2,F,7,P,95,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,764.2105075,g 700+,h 760-820,0.9758194,3.3 +5,3,16935,5,1,7,1,38,3.3,-0.09,67,Y,-0.56,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,7,16951,4,2,7,3,26.7,3.3,-0.41,68,Y,0.28,P,7,P,93,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.6841991,e 580-640,e 580-640,0.9758194,3.3 +5,5,16978,5,2,8,1,24,3.3,-0.03,67,Y,-0.02,P,2,P,95,1,1,-65,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,551.052622,d 520-580,d 520-580,0.9758194,3.3 +8,8,16986,9,2,7,3,31,3.3,0.85,67,Y,0.66,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,8,17003,9,1,7,4,45,3.3,1.24,69,Y,0.7,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +3,4,17006,3,1,7,1,39,3.3,-0.62,69,Y,-0.42,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,2,17016,3,2,7,3,37,3.3,-0.71,65,Y,-0.95,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,3,17050,5,2,7,3,40,3.3,-0.24,69,Y,-0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,17054,,2,7,5,36,3.3,,64,Y,,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,740.526298,g 700+,g 700-760,0.9758194,3.3 +,,17056,4,2,2,5,42,3.3,-0.24,56,Y,,F,7,P,95,1,3,-49,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +6,7,17062,6,2,7,1,41,3.3,0.26,63,Y,0.39,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,4,17070,3,2,7,5,47,3.3,-0.56,58,Y,-0.33,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,914.210501,g 700+,i 820+,0.9758194,3.3 +4,1,17083,4,2,7,5,37,3.3,-0.43,67,Y,-1.42,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,5,17087,5,2,7,3,40,3.3,-0.21,67,Y,-0.11,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +2,3,17089,2,1,7,3,33,3.3,-0.92,69,Y,-0.58,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +,,17097,,2,7,5,47,3.3,,65,Y,,F,7,F,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,914.210501,g 700+,i 820+,0.9758194,3.3 +9,10,17110,9,1,7,4,37,3.3,1.17,69,Y,1.41,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,3,17111,3,2,7,1,34.5,3.3,-0.54,67,Y,-0.63,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,716.8420885,g 700+,g 700-760,0.9758194,3.3 +7,6,17135,7,2,7,3,40,3.3,0.46,67,Y,0.13,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,8,17158,8,1,7,4,46,3.3,0.6,68,Y,0.75,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +9,7,17187,9,2,7,1,47,3.3,0.95,69,Y,0.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,914.210501,g 700+,i 820+,0.9758194,3.3 +2,4,17202,3,1,7,1,38,3.3,-0.75,50,Y,-0.36,P,7,P,94,1,5,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,3,17265,3,1,3,6,22,3.3,-0.71,66,Y,-0.66,P,7,P,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,519.473676,c 460-520,c 460-520,0.9758194,3.3 +6,9,17272,7,1,7,3,42,3.3,0.28,68,Y,1.25,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +5,5,17294,5,1,7,3,34.5,3.3,-0.02,67,Y,-0.23,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +10,10,17301,10,2,7,3,41,3.3,1.37,69,Y,1.7,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,5,17302,7,2,7,3,40,3.3,0.34,64,Y,-0.1,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,4,17310,3,1,7,3,26,3.3,-0.66,46,Y,-0.34,P,2,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,582.631568,e 580-640,e 580-640,0.9758194,3.3 +7,7,17322,7,2,7,1,39,3.3,0.56,67,Y,0.34,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,17339,,1,7,1,40,3.3,,64,Y,,P,7,P,94,1,1,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +2,2,17370,2,2,7,2,32.5,3.3,-0.9,66,Y,-1.07,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +3,5,17373,3,2,7,1,37,3.3,-0.7,52,Y,-0.15,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,9,17374,10,2,7,1,45,3.3,1.36,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +5,4,17393,5,2,7,4,37,3.3,-0.17,68,Y,-0.41,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,17398,1,2,7,3,42,3.3,-1.33,68,Y,-1.55,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +10,10,17411,10,2,7,3,35,3.3,1.34,67,Y,1.46,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,10,17431,9,2,7,3,35,3.3,0.9,68,Y,1.85,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,2,17439,2,2,7,5,38,3.3,-1.21,67,Y,-1.25,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,7,17442,5,1,7,3,39,3.3,-0.08,65,Y,0.36,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,9,17452,9,1,7,3,38,3.3,1.17,69,Y,0.98,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,6,17479,5,1,7,4,36,3.3,-0.2,69,Y,0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,9,17486,10,1,7,2,33,3.3,1.31,65,Y,0.95,P,2,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +1,1,17488,2,1,7,3,33,3.3,-1.24,46,Y,-1.35,P,7,P,94,1,4,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,7,17522,7,2,7,4,36,3.3,0.27,68,Y,0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,4,17523,6,1,7,3,39,3.3,0.15,69,Y,-0.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,17524,,2,7,2,35,3.3,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,3,17544,4,1,7,4,37,3.3,-0.45,69,Y,-0.7,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,17552,2,2,7,3,32,3.3,-1.29,68,Y,-1.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,7,17599,7,1,7,2,30.5,3.3,0.36,68,Y,0.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +4,4,17600,5,1,7,4,35,3.3,-0.21,61,Y,-0.43,P,2,P,95,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,7,17626,5,1,3,5,38,3.3,0.03,68,Y,0.3,P,7,P,95,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,17640,10,2,7,4,33.7,3.3,1.72,67,Y,1.58,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.2105101,g 700+,g 700-760,0.9758194,3.3 +8,8,17663,8,2,7,3,37,3.3,0.69,69,Y,0.62,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,6,17693,5,2,7,4,42,3.3,-0.1,62,Y,0.1,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +6,5,17708,6,2,7,1,36,3.3,0.14,66,Y,-0.23,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +,,17717,,2,7,5,39,3.3,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,1,17725,1,2,7,1,35,3.3,-1.48,64,Y,-2.4,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,6,17726,6,1,3,1,30.3,3.3,0.06,66,Y,0.02,P,7,P,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,650.5263019,f 640-700,f 640-700,0.9758194,3.3 +7,6,17746,7,2,7,1,39,3.3,0.42,68,Y,0.21,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,1,17759,2,2,7,3,38,3.3,-0.95,69,Y,-1.88,F,7,F,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,4,17772,6,1,7,1,26,3.3,0.07,53,Y,-0.3,P,2,P,96,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,582.631568,e 580-640,e 580-640,0.9758194,3.3 +6,8,17783,7,2,7,2,28,3.3,0.25,68,Y,0.65,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,614.210514,e 580-640,e 580-640,0.9758194,3.3 +3,3,17788,3,2,7,3,41,3.3,-0.65,62,Y,-0.73,P,2,P,95,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +5,5,17789,5,1,7,1,42,3.3,0.03,69,Y,-0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +2,3,17804,3,2,7,1,41,3.3,-0.81,38,Y,-0.7,P,2,P,94,1,2,-36,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,10,17809,10,2,7,1,43,3.3,1.62,68,Y,1.37,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +2,4,17830,2,1,7,1,40,3.3,-0.99,60,Y,-0.31,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,17838,1,1,7,3,40,3.3,-2.02,69,Y,-1.69,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,17849,10,1,7,3,39,3.3,1.6,69,Y,1.7,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,4,17854,6,1,7,3,37,3.3,0.23,60,Y,-0.29,P,2,P,95,1,1,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,6,17861,7,2,7,2,28.7,3.3,0.43,68,Y,0.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.2631451,e 580-640,e 580-640,0.9758194,3.3 +3,2,17893,3,1,7,1,45,3.3,-0.73,69,Y,-1.26,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +8,9,17899,8,2,7,3,45,3.3,0.74,69,Y,1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,882.631555,g 700+,i 820+,0.9758194,3.3 +5,5,17926,5,2,7,1,35,3.3,-0.09,68,Y,-0.01,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +9,6,17949,9,1,7,3,37,3.3,1.16,64,Y,0.18,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,5,17958,4,1,7,1,38,3.3,-0.35,68,Y,-0.17,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,5,17962,7,2,7,3,35,3.3,0.46,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,7,17972,8,2,7,3,30.5,3.3,0.57,68,Y,0.41,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +4,3,17975,4,2,7,1,37,3.3,-0.24,69,Y,-0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,9,17979,8,1,7,3,40,3.3,0.65,66,Y,1.19,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,2,17982,3,1,7,4,30,3.3,-0.52,36,Y,-0.88,P,7,P,95,2,4,-29,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,645.78946,f 640-700,f 640-700,0.9758194,3.3 +8,8,18026,9,1,7,4,45,3.3,0.86,67,Y,0.84,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +6,5,18045,6,2,7,4,39,3.3,0.22,65,Y,-0.09,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,1,18051,1,1,3,4,32,3.3,-2.76,53,Y,-2.56,F,7,F,94,1,1,-46,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,10,18070,9,1,7,4,40,3.3,1.11,64,Y,1.61,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,8,18101,9,1,7,5,46,3.3,0.97,68,Y,0.81,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,898.421028,g 700+,i 820+,0.9758194,3.3 +2,2,18108,3,1,7,2,30.5,3.3,-0.83,69,Y,-1.09,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +6,5,18111,6,2,7,3,39,3.3,0.1,65,Y,-0.05,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,2,18116,4,1,7,3,34,3.3,-0.47,68,Y,-0.9,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +8,7,18117,8,1,7,2,36.5,3.3,0.79,69,Y,0.29,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,748.4210345,g 700+,g 700-760,0.9758194,3.3 +4,7,18124,4,1,7,5,39,3.3,-0.44,67,Y,0.32,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,1,18130,2,2,7,5,37,3.3,-0.99,68,Y,-1.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,7,18132,8,2,7,1,39,3.3,0.83,69,Y,0.54,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,2,18185,1,1,7,5,40,3.3,-1.94,29,Y,-1.06,P,7,P,94,1,3,-22,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,9,18186,8,2,7,1,34,3.3,0.61,66,Y,1.13,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,2,18199,1,2,7,1,36,3.3,-1.4,69,Y,-1.07,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,5,18214,7,1,7,3,37,3.3,0.33,66,Y,-0.26,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,5,18240,2,1,7,1,36.5,3.3,-0.84,59,Y,-0.22,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.4210345,g 700+,g 700-760,0.9758194,3.3 +8,6,18276,8,2,7,4,40,3.3,0.65,68,Y,0.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,8,18277,8,2,7,2,41,3.3,0.55,69,Y,0.81,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,819.473663,g 700+,h 760-820,0.9758194,3.3 +6,6,18278,6,1,7,5,45,3.3,0.12,66,Y,0.06,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +2,1,18280,2,2,7,1,39,3.3,-0.91,63,Y,-1.53,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,18300,,2,7,5,42,3.3,,69,Y,,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +2,4,18351,2,1,3,4,38,3.3,-0.95,65,Y,-0.25,P,7,P,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,1,18371,1,1,3,1,30,3.3,-1.34,69,Y,-1.6,P,2,P,94,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,645.78946,f 640-700,f 640-700,0.9758194,3.3 +3,4,18376,3,1,7,3,36,3.3,-0.67,68,Y,-0.29,P,2,P,95,2,4,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,4,18391,3,1,7,3,34,3.3,-0.54,69,Y,-0.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,3,18404,2,2,7,3,40,3.3,-0.96,69,Y,-0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,6,18407,6,2,7,5,38,3.3,0.07,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,3,18452,5,2,8,4,39,3.3,-0.07,56,Y,-0.67,P,7,P,94,2,3,-49,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,5,18474,6,2,7,4,32,3.3,0.2,60,Y,-0.11,P,7,P,95,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,7,18511,7,1,7,1,44,3.3,0.48,67,Y,0.55,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +7,8,18512,7,1,7,1,43,3.3,0.51,67,Y,0.87,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +8,8,18517,8,2,7,3,43,3.3,0.74,69,Y,0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +5,6,18532,5,1,7,2,37,3.3,-0.1,63,Y,0.18,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,7,18536,4,2,7,1,37,3.3,-0.29,56,Y,0.35,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,18552,1,1,7,1,37,3.3,-1.39,69,Y,-1.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,18564,10,1,7,3,37,3.3,1.89,69,Y,1.62,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,18568,,2,7,1,36,3.3,,68,Y,-1.47,P,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,8,18592,9,1,7,3,38,3.3,1.04,69,Y,0.77,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,9,18611,9,2,7,3,35,3.3,1.19,69,Y,1.21,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +2,4,18614,3,2,7,3,32.3,3.3,-0.71,64,Y,-0.43,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.1052479,f 640-700,f 640-700,0.9758194,3.3 +5,6,18640,5,1,7,3,38,3.3,-0.07,68,Y,0.22,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,6,18669,7,1,7,4,44,3.3,0.52,69,Y,0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +,,18676,10,2,7,5,43,3.3,2.09,66,Y,,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,851.052609,g 700+,i 820+,0.9758194,3.3 +4,6,18685,4,2,6,3,29,3.3,-0.4,68,Y,0.19,F,7,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +4,3,18687,4,2,7,1,38,3.3,-0.39,68,Y,-0.61,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,4,18689,5,2,7,4,33.5,3.3,-0.07,15,Y,-0.33,P,7,P,95,2,3,-8,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,701.0526155,g 700+,g 700-760,0.9758194,3.3 +5,4,18695,5,1,7,5,44,3.3,-0.15,68,Y,-0.49,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +5,3,18712,5,2,7,3,37.7,3.3,-0.08,68,Y,-0.67,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.3684021,g 700+,h 760-820,0.9758194,3.3 +7,7,18724,8,2,7,3,39.5,3.3,0.55,69,Y,0.54,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.7894535,g 700+,h 760-820,0.9758194,3.3 +7,5,18725,7,2,7,1,38,3.3,0.49,69,Y,-0.17,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,5,18744,7,2,7,2,32,3.3,0.3,49,Y,-0.16,P,7,P,94,1,4,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +8,9,18750,8,1,7,4,42,3.3,0.59,68,Y,0.94,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +3,1,18754,3,2,2,1,32,3.3,-0.6,69,Y,-1.51,P,2,P,95,1,3,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +1,1,18762,1,1,3,3,24,3.3,-1.6,68,Y,-2.56,F,7,F,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,551.052622,d 520-580,d 520-580,0.9758194,3.3 +8,6,18780,8,1,7,1,44,3.3,0.71,59,Y,0.25,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +8,6,18782,8,1,7,1,33,3.3,0.8,69,Y,0.23,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +7,6,18794,7,2,7,3,33,3.3,0.33,69,Y,0.23,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +,,18795,,1,7,3,47,3.3,,68,Y,,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,914.210501,g 700+,i 820+,0.9758194,3.3 +9,9,18798,9,2,7,1,47,3.3,1.05,68,Y,1.16,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,914.210501,g 700+,i 820+,0.9758194,3.3 +8,6,18820,9,2,7,3,38,3.3,0.86,69,Y,0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,6,18821,6,2,7,3,35,3.3,0.19,67,Y,0.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,4,18823,6,2,7,3,21.5,3.3,0.15,68,Y,-0.47,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,511.5789395,c 460-520,c 460-520,0.9758194,3.3 +,,18827,,1,7,1,42,3.3,,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +9,9,18838,9,2,7,3,30,3.3,1.2,68,Y,1.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +8,6,18840,8,2,7,3,38,3.3,0.58,67,Y,0.19,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,10,18856,10,1,7,4,41,3.3,1.62,65,Y,2.52,P,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,4,18862,3,2,7,1,43,3.3,-0.76,69,Y,-0.43,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +,,18863,,1,7,5,45,3.3,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +,,18878,9,2,7,3,41,3.3,1.21,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,10,18908,9,2,7,3,35,3.3,0.88,69,Y,1.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,4,18911,5,2,7,3,36,3.3,-0.08,69,Y,-0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,3,18915,3,2,7,3,33,3.3,-0.62,56,Y,-0.72,P,2,P,95,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,10,18930,10,2,6,3,37,3.3,1.78,69,Y,1.43,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,7,18933,7,1,7,3,28,3.3,0.37,69,Y,0.49,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.210514,e 580-640,e 580-640,0.9758194,3.3 +2,4,18970,2,2,7,3,32.5,3.3,-0.99,69,Y,-0.41,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +4,3,19007,4,1,3,4,37,3.3,-0.3,69,Y,-0.75,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,6,19018,6,2,7,3,30.5,3.3,0.21,61,Y,0.1,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +7,8,19033,7,2,6,4,31,3.3,0.37,57,Y,0.83,P,2,P,95,1,2,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.578933,f 640-700,f 640-700,0.9758194,3.3 +,,19091,,2,7,1,35.5,3.3,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.6315615,g 700+,g 700-760,0.9758194,3.3 +3,6,19114,4,2,7,1,36,3.3,-0.43,51,Y,0.11,F,2,F,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,4,19120,4,2,7,3,27,3.3,-0.29,60,Y,-0.55,P,2,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +,,19135,,1,7,1,40,3.3,,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,4,19149,5,1,7,1,35,3.3,-0.11,69,Y,-0.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,3,19153,3,2,7,4,47,3.3,-0.65,68,Y,-0.54,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +7,8,19161,7,2,7,2,40,3.3,0.51,64,Y,0.63,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,19177,,2,7,5,38,3.3,,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,5,19194,4,2,7,3,36,3.3,-0.27,60,Y,-0.2,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,6,19200,4,1,7,3,36,3.3,-0.49,62,Y,0.09,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,19215,10,2,7,3,47,3.3,1.64,58,Y,1.95,P,2,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,914.210501,g 700+,i 820+,0.9758194,3.3 +1,1,19242,1,2,7,3,34,3.3,-1.34,69,Y,-1.74,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,4,19246,5,1,3,4,28,3.3,-0.08,67,Y,-0.31,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,614.210514,e 580-640,e 580-640,0.9758194,3.3 +1,2,19265,2,1,2,1,38,3.3,-1.28,68,Y,-1.29,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,6,19300,8,1,7,6,36,3.3,0.55,64,Y,0.23,P,2,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,5,19313,6,2,7,1,46,3.3,0.24,69,Y,-0.21,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +6,6,19330,6,1,8,4,47,3.3,0.23,62,Y,0.13,P,2,P,95,1,4,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +6,5,19337,6,1,2,3,30.5,3.3,0.16,64,Y,-0.05,P,7,P,94,1,2,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +10,10,19352,10,1,7,2,31,3.3,1.34,64,Y,1.38,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +,,19360,,2,3,5,31,3.3,,63,Y,,F,2,F,95,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,6,661.578933,f 640-700,f 640-700,0.9758194,3.3 +10,10,19363,10,2,7,1,46,3.3,1.36,67,Y,1.34,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +8,7,19382,8,2,7,3,33,3.3,0.82,61,Y,0.37,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,9,19392,9,2,7,1,46,3.3,0.94,69,Y,1.06,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +10,10,19405,10,2,7,4,30,3.3,1.39,59,Y,1.6,P,7,P,94,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,645.78946,f 640-700,f 640-700,0.9758194,3.3 +5,5,19413,5,2,7,1,34,3.3,0.02,68,Y,-0.13,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,19417,,1,7,1,41,3.3,,65,Y,,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,1,19424,1,2,4,5,35,3.3,-1.81,69,Y,-1.74,P,2,P,95,1,4,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,5,19443,8,1,7,1,43,3.3,0.65,69,Y,0,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +10,10,19452,10,2,8,3,40,3.3,1.39,68,Y,1.36,P,7,P,93,1,2,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,19477,1,1,4,3,30,3.3,-1.37,68,Y,-1.65,F,7,P,96,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +6,9,19488,6,1,8,3,32,3.3,0.08,68,Y,0.9,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,8,19492,10,1,7,1,34,3.3,1.31,60,Y,0.76,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +8,8,19493,8,2,7,3,37.5,3.3,0.73,68,Y,0.8,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.2105075,g 700+,h 760-820,0.9758194,3.3 +4,7,19509,4,1,7,1,42,3.3,-0.41,69,Y,0.35,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,6,19510,6,2,7,3,38,3.3,0.12,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,9,19514,7,2,7,1,40,3.3,0.55,66,Y,1.13,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,8,19515,8,2,7,4,36.5,3.3,0.77,68,Y,0.77,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,748.4210345,g 700+,g 700-760,0.9758194,3.3 +3,3,19521,4,1,7,4,40,3.3,-0.49,69,Y,-0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,3,19561,4,2,7,1,36,3.3,-0.48,56,Y,-0.87,P,2,P,95,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,6,19564,6,2,7,3,42,3.3,0.05,69,Y,0.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +7,9,19572,8,1,7,3,32.5,3.3,0.56,66,Y,0.9,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +6,6,19576,6,2,3,3,39,3.3,0.12,68,Y,0.19,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,10,19586,9,1,7,1,37,3.3,1.02,67,Y,1.33,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,5,19589,3,2,7,2,34,3.3,-0.61,67,Y,-0.19,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,4,19596,5,2,7,3,38,3.3,-0.1,69,Y,-0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,6,19604,5,2,7,1,38,3.3,-0.13,64,Y,0.18,P,2,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,6,19622,6,1,6,3,35,3.3,0.01,67,Y,0.04,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,4,19628,3,1,7,3,30.5,3.3,-0.52,68,Y,-0.55,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +5,6,19629,5,1,7,5,43,3.3,-0.11,69,Y,0.11,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,851.052609,g 700+,i 820+,0.9758194,3.3 +1,1,19647,2,1,3,3,32,3.3,-1.19,65,Y,-2.68,F,2,P,95,1,2,-63,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +,,19650,,1,7,1,41,3.3,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,7,19658,7,1,7,3,31,3.3,0.44,67,Y,0.32,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +10,8,19712,10,2,7,1,46,3.3,1.37,64,Y,0.68,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +10,10,19718,10,2,7,3,48,3.3,2.18,62,Y,1.94,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,929.999974,g 700+,i 820+,0.9758194,3.3 +4,6,19719,4,2,7,1,38,3.3,-0.36,66,Y,0.14,P,,P,,1,2,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,7,19722,5,1,7,5,42,3.3,-0.15,69,Y,0.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +8,7,19739,8,2,7,3,36,3.3,0.6,68,Y,0.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,19760,10,1,7,6,37,3.3,1.72,64,Y,1.46,P,2,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,19765,10,2,7,1,41,3.3,1.71,69,Y,1.88,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,1,19776,1,2,7,1,46,3.3,-2.08,69,Y,-1.81,F,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +8,8,19778,8,1,7,6,21,3.3,0.79,61,Y,0.71,P,7,P,94,1,1,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,503.684203,c 460-520,c 460-520,0.9758194,3.3 +8,8,19849,8,2,7,5,39,3.3,0.65,68,Y,0.67,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,5,19892,6,1,4,1,44,3.3,0.16,65,Y,-0.02,P,7,P,94,1,4,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +4,4,19894,4,1,3,1,25,3.3,-0.23,69,Y,-0.5,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,566.842095,d 520-580,d 520-580,0.9758194,3.3 +3,3,19899,3,2,7,3,31,3.3,-0.56,69,Y,-0.57,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +4,3,19902,4,2,7,3,37,3.3,-0.4,68,Y,-0.71,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,6,19912,8,2,7,3,39,3.3,0.68,69,Y,0.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,9,19932,10,2,7,1,42,3.3,1.36,69,Y,1.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +8,8,19941,8,1,7,2,30,3.3,0.75,64,Y,0.83,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +10,10,19965,10,1,2,3,36,3.3,1.74,67,Y,1.81,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,19966,1,2,5,5,39.5,3.3,-1.62,68,Y,-1.33,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,795.7894535,g 700+,h 760-820,0.9758194,3.3 +8,7,19998,9,2,7,3,30.5,3.3,0.85,66,Y,0.49,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +8,5,20002,8,1,7,3,30.5,3.3,0.68,68,Y,-0.03,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +1,3,20030,1,1,7,5,44,3.3,-1.55,62,Y,-0.82,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +3,2,20034,3,1,7,4,35,3.3,-0.65,68,Y,-1,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,8,20047,7,2,7,2,33,3.3,0.5,69,Y,0.66,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,10,20049,10,2,7,3,39,3.3,2.04,69,Y,2.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,3,20058,2,2,2,4,40,3.3,-0.95,70,Y,-0.6,P,2,P,94,1,3,-68,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,20063,1,2,7,3,33,3.3,-1.74,63,Y,-1.42,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,6,20081,5,2,7,3,37,3.3,-0.15,68,Y,0.07,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,9,20094,8,2,7,3,39,3.3,0.72,67,Y,1.27,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,4,20115,3,2,7,1,39,3.3,-0.76,51,Y,-0.37,P,7,P,94,1,2,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,10,20119,10,1,7,1,38,3.3,1.97,60,Y,2.19,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,6,20133,6,2,7,1,46,3.3,0.23,68,Y,0.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +8,7,20144,8,2,7,3,40,3.3,0.75,67,Y,0.46,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,20147,1,2,3,1,28,3.3,-1.66,68,Y,-1.88,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,614.210514,e 580-640,e 580-640,0.9758194,3.3 +5,6,20152,5,2,7,1,44,3.3,-0.06,68,Y,0.02,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +10,10,20166,10,2,7,3,39,3.3,2.47,69,Y,1.81,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,2,20169,2,2,4,1,32,3.3,-0.87,68,Y,-1.18,P,2,P,95,1,2,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +8,9,20181,8,2,7,3,37,3.3,0.78,67,Y,1.26,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,8,20188,8,1,7,1,33.5,3.3,0.74,50,Y,0.62,P,7,P,94,1,4,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.0526155,g 700+,g 700-760,0.9758194,3.3 +4,5,20200,4,1,7,4,42,3.3,-0.25,66,Y,-0.2,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +9,8,20218,9,2,7,1,41,3.3,0.98,70,Y,0.85,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,1,20227,1,1,7,3,35,3.3,-2.74,67,Y,-2.42,F,7,F,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,10,20241,10,1,7,4,41,3.3,2.08,67,Y,1.88,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,10,20255,9,2,7,1,39,3.3,1.19,65,Y,1.66,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,2,20307,2,1,7,3,32,3.3,-0.87,67,Y,-1.14,F,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +2,2,20345,2,1,7,1,39,3.3,-1.09,68,Y,-0.9,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,5,20360,6,1,7,3,34,3.3,0.08,66,Y,-0.07,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,1,20371,2,2,7,3,28,3.3,-0.91,66,Y,-1.35,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.210514,e 580-640,e 580-640,0.9758194,3.3 +8,9,20412,8,1,7,4,48,3.3,0.61,69,Y,0.94,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +3,2,20428,4,1,7,3,36,3.3,-0.44,59,Y,-0.99,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,2,20429,2,1,7,2,28,3.3,-1.02,68,Y,-0.91,F,2,F,95,1,2,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,614.210514,e 580-640,e 580-640,0.9758194,3.3 +7,4,20459,7,1,2,4,33,3.3,0.49,69,Y,-0.34,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,2,20461,2,2,7,3,30,3.3,-1.06,47,Y,-1.03,F,7,F,95,2,3,-40,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +6,8,20501,6,2,7,3,43,3.3,0.18,70,Y,0.7,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +9,10,20516,9,1,7,1,38,3.3,0.91,60,Y,1.29,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,9,20518,9,1,4,1,36,3.3,0.98,62,Y,1.12,P,7,P,94,1,3,-55,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +8,9,20521,8,2,2,4,40,3.3,0.61,68,Y,1.05,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,8,20554,8,1,7,4,39.5,3.3,0.58,67,Y,0.69,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.7894535,g 700+,h 760-820,0.9758194,3.3 +,,20557,,2,7,1,39,3.3,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,7,20592,6,2,7,1,46,3.3,0.07,67,Y,0.32,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +4,5,20618,5,2,7,3,31,3.3,-0.24,67,Y,-0.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +7,6,20645,7,2,7,2,31,3.3,0.47,69,Y,0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +8,7,20660,8,2,7,1,43,3.3,0.68,70,Y,0.5,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +,,20674,,2,7,5,48,3.3,,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +8,8,20702,8,2,7,1,45,3.3,0.73,69,Y,0.75,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +8,7,20703,8,2,7,1,42,3.3,0.74,64,Y,0.52,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +10,9,20706,10,2,7,3,40,3.3,1.33,69,Y,1.09,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,20723,1,1,3,5,32,3.3,-3.04,70,Y,-1.96,P,7,P,94,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,8,20739,9,2,7,3,35,3.3,1.09,69,Y,0.77,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,1,20750,1,1,7,1,36,3.3,-1.42,69,Y,-1.34,F,2,P,96,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,9,20765,7,1,3,6,25,3.3,0.28,55,Y,0.97,P,7,P,94,1,3,-48,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,566.842095,d 520-580,d 520-580,0.9758194,3.3 +8,6,20776,9,2,7,3,34,3.3,0.84,67,Y,0.2,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +6,6,20815,6,2,7,4,35,3.3,0.24,63,Y,0.03,F,7,F,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +2,5,20819,3,2,7,3,32,3.3,-0.78,69,Y,-0.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,9,20820,9,2,7,1,45,3.3,1.07,66,Y,0.93,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +6,7,20823,6,1,7,3,39,3.3,0.14,65,Y,0.47,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,20829,3,2,6,5,31.5,3.3,-0.55,67,Y,,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +3,2,20843,3,1,2,4,29,3.3,-0.67,68,Y,-1.07,F,7,P,95,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,629.999987,e 580-640,e 580-640,0.9758194,3.3 +4,5,20853,5,1,7,4,42,3.3,-0.24,67,Y,-0.1,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +5,7,20854,5,1,7,4,34,3.3,-0.02,68,Y,0.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,2,20856,1,1,7,4,42,3.3,-1.66,67,Y,-0.86,P,7,P,95,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +7,6,20859,8,1,7,3,39,3.3,0.53,68,Y,0.19,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,1,20871,1,1,7,3,30.5,3.3,-1.52,68,Y,-1.62,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +10,9,20872,10,1,7,1,47,3.3,1.43,68,Y,1.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,914.210501,g 700+,i 820+,0.9758194,3.3 +3,4,20884,3,1,7,3,37,3.3,-0.68,65,Y,-0.44,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,6,20886,5,2,7,2,28,3.3,-0.07,68,Y,0.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,614.210514,e 580-640,e 580-640,0.9758194,3.3 +3,2,20899,4,1,3,2,17,3.3,-0.44,60,Y,-1.06,F,7,P,96,1,3,-53,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,440.526311,b 400-460,b 400-460,0.9758194,3.3 +3,2,20923,4,2,7,3,41,3.3,-0.46,71,Y,-1.13,P,7,P,94,1,2,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,10,20931,10,2,7,3,41,3.3,1.51,66,Y,1.95,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,7,20942,9,1,4,6,16,3.3,1,65,Y,0.38,P,2,P,94,1,1,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,424.736838,b 400-460,b 400-460,0.9758194,3.3 +10,10,20955,10,2,7,3,40,3.3,1.7,66,Y,2.21,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +2,2,20966,2,2,4,1,33,3.3,-1.11,63,Y,-1.27,P,7,P,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,3,20967,4,1,2,3,32,3.3,-0.26,69,Y,-0.74,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,9,20974,8,2,7,1,37,3.3,0.6,70,Y,1.09,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,21012,9,1,7,4,43,3.3,1.07,71,Y,1.14,P,7,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.052609,g 700+,i 820+,0.9758194,3.3 +7,7,21016,7,2,7,2,32,3.3,0.48,67,Y,0.53,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,4,21020,5,2,7,1,37.5,3.3,-0.09,62,Y,-0.35,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.2105075,g 700+,h 760-820,0.9758194,3.3 +8,7,21031,8,1,7,5,47,3.3,0.87,66,Y,0.27,P,2,P,96,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,914.210501,g 700+,i 820+,0.9758194,3.3 +9,7,21036,9,2,2,1,34,3.3,0.97,69,Y,0.4,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,1,21041,1,1,7,1,35,3.3,-1.29,41,Y,-1.6,P,7,P,94,1,5,-34,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,10,21049,10,2,7,4,33.5,3.3,2.18,67,Y,1.42,P,7,P,95,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,701.0526155,g 700+,g 700-760,0.9758194,3.3 +10,10,21053,10,2,7,4,41,3.3,1.37,66,Y,1.82,P,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,5,21065,10,1,7,5,34,3.3,2.45,68,Y,0,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,708.947352,g 700+,g 700-760,0.9758194,3.3 +9,7,21076,10,1,7,1,44,3.3,1.3,59,Y,0.52,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +,,21090,,1,7,3,40,3.3,,66,Y,,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,10,21095,8,2,7,3,36,3.3,0.7,68,Y,1.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,5,21100,9,1,7,3,36,3.3,1.06,49,Y,-0.05,P,2,P,95,2,3,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +8,8,21108,8,2,7,3,34.5,3.3,0.6,69,Y,0.69,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +3,4,21115,3,2,7,1,39,3.3,-0.62,69,Y,-0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,7,21116,5,2,7,1,40,3.3,-0.05,68,Y,0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,8,21117,9,2,7,1,42,3.3,1.04,69,Y,0.6,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +9,8,21137,9,2,7,3,44,3.3,1.13,65,Y,0.84,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,866.842082,g 700+,i 820+,0.9758194,3.3 +1,2,21140,1,2,7,4,40,3.3,-1.28,60,Y,-1.01,F,7,P,95,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,3,21157,4,2,8,1,33.5,3.3,-0.29,68,Y,-0.87,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,701.0526155,g 700+,g 700-760,0.9758194,3.3 +3,2,21181,3,2,3,4,46,3.3,-0.5,68,Y,-1.18,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +3,5,21182,4,2,7,3,35,3.3,-0.43,68,Y,-0.04,F,7,P,96,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,5,21185,5,1,3,4,37,3.3,-0.03,69,Y,-0.22,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,21240,1,2,3,1,32.5,3.3,-1.98,64,Y,-1.61,F,7,P,95,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +9,9,21255,9,2,7,2,39,3.3,1.01,68,Y,1.19,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,21305,3,2,7,5,44,3.3,-0.69,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +5,5,21318,6,1,7,3,30,3.3,0.01,69,Y,-0.04,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +7,7,21321,8,1,7,6,39,3.3,0.63,56,Y,0.44,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,3,21339,3,2,7,1,39,3.3,-0.6,68,Y,-0.75,P,6,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,5,21352,4,1,7,3,32,3.3,-0.32,69,Y,-0.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,8,21428,7,2,7,1,35,3.3,0.53,65,Y,0.79,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,4,21456,1,2,7,4,31,3.3,-1.31,60,Y,-0.48,P,7,P,95,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.578933,f 640-700,f 640-700,0.9758194,3.3 +5,3,21469,5,2,7,4,48,3.3,-0.02,69,Y,-0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +5,5,21473,5,1,7,3,29,3.3,-0.12,68,Y,-0.22,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +3,5,21486,3,2,7,4,39,3.3,-0.56,68,Y,-0.01,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,10,21489,10,2,7,1,43,3.3,2.21,59,Y,2.3,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +,,21491,8,1,7,3,33,3.3,0.61,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +3,6,21501,4,2,3,1,31,3.3,-0.5,69,Y,0.08,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,661.578933,f 640-700,f 640-700,0.9758194,3.3 +,,21504,,1,7,5,44,3.3,,67,Y,,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +2,3,21550,3,1,7,1,34,3.3,-0.76,67,Y,-0.65,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,9,21551,10,2,7,4,48,3.3,1.34,66,Y,0.98,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +9,8,21557,9,2,7,4,48,3.3,1.02,69,Y,0.77,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +,,21579,,1,7,5,44,3.3,,59,Y,,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +6,4,21601,6,2,7,4,39,3.3,0.1,62,Y,-0.44,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,4,21604,4,1,7,4,36,3.3,-0.25,68,Y,-0.51,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +8,7,21610,8,1,7,4,37,3.3,0.84,66,Y,0.48,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,21628,5,1,7,5,48,3.3,-0.03,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +2,1,21634,3,1,3,3,25,3.3,-0.75,68,Y,-1.53,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,566.842095,d 520-580,d 520-580,0.9758194,3.3 +4,4,21660,4,2,7,1,39,3.3,-0.39,66,Y,-0.31,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,21666,,1,7,6,29,3.3,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,629.999987,e 580-640,e 580-640,0.9758194,3.3 +6,3,21682,6,1,7,3,38,3.3,0.11,69,Y,-0.58,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,7,21707,9,1,6,3,26.5,3.3,0.89,69,Y,0.33,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,590.5263045,e 580-640,e 580-640,0.9758194,3.3 +3,3,21709,3,2,7,1,33,3.3,-0.59,54,Y,-0.83,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,4,21724,5,2,7,1,31,3.3,-0.16,69,Y,-0.32,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,661.578933,f 640-700,f 640-700,0.9758194,3.3 +9,9,21725,9,1,7,3,43,3.3,0.95,67,Y,1.12,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +6,5,21730,6,2,7,1,38.5,3.3,0.18,68,Y,-0.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.9999805,g 700+,h 760-820,0.9758194,3.3 +8,7,21745,8,2,7,2,42,3.3,0.62,68,Y,0.51,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,835.263136,g 700+,i 820+,0.9758194,3.3 +1,1,21757,1,2,7,3,26,3.3,-1.39,48,Y,-1.5,F,7,P,96,2,3,-41,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,582.631568,e 580-640,e 580-640,0.9758194,3.3 +1,2,21760,1,1,7,1,37.5,3.3,-1.53,68,Y,-0.99,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.2105075,g 700+,h 760-820,0.9758194,3.3 +8,7,21775,8,1,7,4,37,3.3,0.62,66,Y,0.27,P,2,P,96,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,2,21781,3,2,7,3,36.5,3.3,-0.79,68,Y,-0.97,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.4210345,g 700+,g 700-760,0.9758194,3.3 +3,2,21785,3,2,2,4,26,3.3,-0.68,65,Y,-1.01,F,7,F,95,2,3,-58,male,1,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,582.631568,e 580-640,e 580-640,0.9758194,3.3 +10,9,21793,10,1,7,2,32,3.3,1.53,65,Y,0.9,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +9,10,21798,9,2,7,3,34,3.3,1.02,69,Y,1.43,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +7,4,21802,7,1,7,5,44,3.3,0.45,69,Y,-0.24,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +9,7,21827,9,2,7,3,42,3.3,0.89,68,Y,0.49,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +1,1,21864,1,1,7,1,35,3.3,-1.78,69,Y,-1.8,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,5,21879,5,2,7,3,37,3.3,-0.09,65,Y,-0.22,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,5,21891,4,2,7,3,41,3.3,-0.26,62,Y,-0.25,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,8,21900,7,1,7,5,44,3.3,0.42,66,Y,0.83,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +6,6,21910,6,2,7,3,31,3.3,0.22,68,Y,0.15,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +5,6,21917,6,1,3,1,28,3.3,0.06,65,Y,0.27,P,7,P,95,1,,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,614.210514,e 580-640,e 580-640,0.9758194,3.3 +2,2,21923,3,2,3,1,24,3.3,-0.74,67,Y,-1.3,F,7,P,95,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,551.052622,d 520-580,d 520-580,0.9758194,3.3 +8,6,21924,9,2,7,1,37,3.3,0.88,69,Y,0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,6,21926,6,1,7,1,41,3.3,0.12,68,Y,0.2,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +3,6,21940,4,1,7,3,38,3.3,-0.48,68,Y,0.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,8,21948,7,2,7,1,34,3.3,0.52,68,Y,0.75,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +4,7,21955,4,1,2,1,36,3.3,-0.25,68,Y,0.47,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,6,21960,7,1,7,5,48,3.3,0.51,67,Y,0.06,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,929.999974,g 700+,i 820+,0.9758194,3.3 +4,6,21966,4,1,2,4,32,3.3,-0.33,67,Y,0.23,P,2,P,95,1,,-65,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,677.368406,f 640-700,f 640-700,0.9758194,3.3 +,,21970,,1,7,6,32,3.3,,49,Y,,P,7,P,94,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,677.368406,f 640-700,f 640-700,0.9758194,3.3 +3,5,21978,3,1,7,3,33,3.3,-0.63,69,Y,-0.23,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,7,21990,6,2,7,1,41,3.3,0.2,69,Y,0.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,4,22002,3,1,7,3,40,3.3,-0.81,47,Y,-0.56,P,7,P,94,1,4,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,4,22008,5,2,7,1,44,3.3,-0.04,63,Y,-0.37,P,2,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +1,2,22021,1,1,7,3,34,3.3,-1.31,69,Y,-1.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,6,22034,6,2,7,5,45,3.3,0.08,67,Y,0.1,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +8,10,22051,8,2,7,3,45,3.3,0.75,68,Y,1.37,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,882.631555,g 700+,i 820+,0.9758194,3.3 +4,4,22057,5,2,7,3,42,3.3,-0.24,69,Y,-0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +6,7,22073,7,1,3,6,23,3.3,0.35,70,Y,0.43,F,7,F,94,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,535.263149,d 520-580,d 520-580,0.9758194,3.3 +10,10,22079,10,1,7,4,47,3.3,1.42,69,Y,1.57,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +,,22084,,2,7,3,39,3.3,,60,Y,,P,7,P,95,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,22090,,1,7,5,44,3.3,,67,Y,,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +,,22111,,2,7,1,38,3.3,,67,X,,F,2,P,96,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,1,22126,3,2,7,3,42,3.3,-0.79,68,Y,-1.43,F,6,F,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +7,4,22139,7,2,7,3,38,3.3,0.36,69,Y,-0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,4,22146,4,2,7,4,39,3.3,-0.43,69,Y,-0.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +1,1,22156,1,2,7,1,45,3.3,-1.28,52,Y,-1.44,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +8,6,22182,8,2,7,1,24.5,3.3,0.87,64,Y,0.28,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,558.9473585,d 520-580,d 520-580,0.9758194,3.3 +4,3,22190,4,2,7,3,37,3.3,-0.34,61,Y,-0.71,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,5,22201,4,1,7,4,37,3.3,-0.4,68,Y,-0.14,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,22204,9,1,7,4,45,3.3,1,68,Y,1.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +9,9,22235,9,2,7,3,33,3.3,0.94,65,Y,1,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,1,22246,2,2,7,3,38,3.3,-1.04,67,Y,-1.5,P,2,P,95,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,8,22289,7,1,3,6,30,3.3,0.29,67,Y,0.64,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,645.78946,f 640-700,f 640-700,0.9758194,3.3 +9,10,22290,10,2,7,3,37,3.3,1.28,57,Y,1.93,P,2,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,9,22317,10,1,7,1,41,3.3,1.32,69,Y,1.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,9,22319,7,1,7,4,37,3.3,0.52,68,Y,0.9,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,9,22337,10,2,7,3,38,3.3,1.32,69,Y,1.25,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,4,22347,4,1,7,1,33,3.3,-0.48,67,Y,-0.5,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,3,22356,3,1,7,4,44,3.3,-0.78,68,Y,-0.6,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +6,5,22357,7,2,7,3,29,3.3,0.27,60,Y,-0.14,P,7,P,94,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +4,7,22364,4,2,7,3,46,3.3,-0.29,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,898.421028,g 700+,i 820+,0.9758194,3.3 +9,7,22370,9,1,7,1,30,3.3,1.11,68,Y,0.43,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,645.78946,f 640-700,f 640-700,0.9758194,3.3 +8,10,22384,8,1,7,3,33,3.3,0.68,69,Y,1.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,4,22421,2,1,7,3,39,3.3,-0.85,66,Y,-0.54,P,2,P,95,2,3,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,6,22430,2,1,7,3,37,3.3,-1.1,66,Y,-0.01,F,7,P,95,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,22433,10,1,7,4,35.5,3.3,2.11,64,Y,3.07,P,7,P,95,2,2,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,732.6315615,g 700+,g 700-760,0.9758194,3.3 +10,9,22439,10,1,7,1,40,3.3,1.55,70,Y,1.19,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,7,22457,4,2,7,4,32,3.3,-0.43,69,Y,0.36,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,1,22464,7,2,7,3,41,3.3,0.47,66,Y,-1.35,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +,,22465,,1,7,2,40,3.3,,69,Y,1.84,P,2,P,96,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,2,22474,4,1,4,6,27,3.3,-0.51,63,Y,-1.17,P,7,P,94,1,2,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,598.421041,e 580-640,e 580-640,0.9758194,3.3 +5,7,22484,6,2,7,2,31,3.3,0.04,69,Y,0.33,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +4,7,22493,4,2,7,2,33,3.3,-0.36,69,Y,0.27,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,5,22537,6,2,7,1,43,3.3,0.09,65,Y,-0.07,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +5,6,22569,5,1,7,3,42,3.3,-0.02,63,Y,0.1,P,7,P,94,,3,-56,female,,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +7,5,22573,7,2,7,4,32.5,3.3,0.4,51,Y,-0.09,P,7,P,95,2,2,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +5,3,22584,5,2,7,2,32,3.3,-0.12,67,Y,-0.63,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,6,22585,5,2,7,1,40,3.3,-0.05,69,Y,0.22,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,8,22599,8,1,7,3,39,3.3,0.54,68,Y,0.83,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +8,8,22608,8,1,7,5,40,3.3,0.91,69,Y,0.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,22610,1,1,7,3,22.5,3.3,-1.45,46,Y,-1.34,F,7,F,94,1,5,-39,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,527.3684125,d 520-580,d 520-580,0.9758194,3.3 +,,22619,,2,7,3,38,3.3,,66,Y,,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,1,22620,3,1,7,3,35,3.3,-0.73,70,Y,-1.44,P,7,P,95,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,5,22626,2,1,7,2,34,3.3,-1.07,70,Y,-0.3,F,7,P,95,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,3,22645,4,2,7,3,36,3.3,-0.46,38,Y,-0.64,P,7,P,94,1,1,-31,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,2,22649,1,1,7,3,27,3.3,-1.75,68,Y,-1.18,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +4,3,22659,4,2,7,3,33,3.3,-0.42,66,Y,-0.67,P,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,7,22664,9,1,7,1,43,3.3,1.2,65,Y,0.34,P,2,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +10,10,22668,10,1,7,3,44,3.3,2.04,61,Y,1.45,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,866.842082,g 700+,i 820+,0.9758194,3.3 +2,2,22690,2,1,7,4,40,3.3,-0.85,69,Y,-1.06,F,7,P,96,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,10,22698,9,1,7,1,35,3.3,1.1,67,Y,1.32,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,4,22730,4,1,7,3,41,3.3,-0.38,63,Y,-0.53,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +8,7,22732,8,2,7,4,44,3.3,0.75,68,Y,0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +6,5,22743,6,2,7,3,43,3.3,0.23,66,Y,-0.07,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +8,9,22768,8,1,7,3,34,3.3,0.67,66,Y,1.12,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +8,7,22773,8,2,7,4,40,3.3,0.62,69,Y,0.44,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,9,22775,9,2,7,4,39,3.3,0.96,69,Y,0.91,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +3,4,22776,4,1,7,3,38,3.3,-0.48,68,Y,-0.36,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,1,22805,1,2,2,5,47,3.3,-1.58,68,Y,-1.71,F,7,P,95,1,5,-61,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,914.210501,g 700+,i 820+,0.9758194,3.3 +2,1,22830,2,1,7,4,47,3.3,-0.89,68,Y,-1.31,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +8,8,22831,8,2,7,3,40,3.3,0.8,57,Y,0.65,P,7,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,7,22841,8,2,7,3,36,3.3,0.83,60,Y,0.36,P,2,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,6,22848,6,2,7,3,31,3.3,0.13,68,Y,0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +10,10,22875,10,2,7,4,40,3.3,2.06,66,Y,1.97,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,22876,,1,5,5,29,3.3,,68,Y,,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,629.999987,e 580-640,e 580-640,0.9758194,3.3 +7,7,22883,7,2,7,2,28,3.3,0.28,69,Y,0.3,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,614.210514,e 580-640,e 580-640,0.9758194,3.3 +2,3,22885,2,2,7,1,39,3.3,-1.12,69,Y,-0.72,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,4,22889,6,2,7,3,34.5,3.3,0.05,67,Y,-0.4,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +3,3,22916,3,2,7,1,44,3.3,-0.69,65,Y,-0.79,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +10,10,22930,10,2,7,3,38,3.3,1.5,67,Y,1.81,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,4,22939,3,1,7,3,37,3.3,-0.6,69,Y,-0.48,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,6,22985,6,1,7,3,37,3.3,0.13,65,Y,0.14,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,8,23004,8,2,7,2,32,3.3,0.72,65,Y,0.64,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.368406,f 640-700,f 640-700,0.9758194,3.3 +10,9,23011,10,2,7,3,27,3.3,1.5,63,Y,1.29,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +9,7,23016,9,1,7,3,33,3.3,0.89,69,Y,0.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +3,2,23036,3,1,7,2,33,3.3,-0.69,69,Y,-1.22,F,7,F,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +7,7,23045,7,2,7,1,36.5,3.3,0.34,65,Y,0.45,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.4210345,g 700+,g 700-760,0.9758194,3.3 +4,5,23054,4,1,7,3,37,3.3,-0.34,69,Y,-0.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,23059,,1,7,1,34,3.3,,54,Y,0.66,P,7,P,95,2,4,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +4,2,23072,4,2,7,4,34,3.3,-0.32,69,Y,-1.12,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,6,23084,5,1,7,4,35,3.3,-0.04,69,Y,0.24,F,2,F,96,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,7,23088,7,1,7,4,38,3.3,0.33,67,Y,0.32,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,5,23094,3,2,7,3,32,3.3,-0.56,68,Y,-0.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +6,7,23109,6,1,7,3,42,3.3,0.14,67,Y,0.47,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +5,4,23120,5,2,7,4,48,3.3,-0.06,70,Y,-0.29,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +1,1,23121,2,2,7,1,37,3.3,-1.15,69,Y,-1.92,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,2,23136,3,1,3,4,40,3.3,-0.65,69,Y,-1.28,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +9,8,23143,9,1,2,3,31.5,3.3,1.11,63,Y,0.76,P,7,P,95,2,3,-56,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +10,10,23146,10,1,7,3,35.5,3.3,2.26,66,Y,2.83,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +,,23150,,2,2,5,36,3.3,,66,Y,,P,2,P,95,1,4,-64,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,3,23154,3,1,7,1,27,3.3,-0.78,58,Y,-0.56,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,598.421041,e 580-640,e 580-640,0.9758194,3.3 +8,7,23168,8,1,7,1,40,3.3,0.79,69,Y,0.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,23202,10,2,7,4,41,3.3,1.77,69,Y,1.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,7,23237,7,2,7,4,45,3.3,0.52,65,Y,0.38,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +7,8,23248,7,2,7,1,44,3.3,0.45,68,Y,0.87,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +2,2,23254,2,2,7,1,31.5,3.3,-1.04,65,Y,-1.08,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +5,4,23260,5,2,7,4,46,3.3,0.01,68,Y,-0.51,P,2,P,96,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +5,5,23264,5,2,7,4,36,3.3,-0.08,69,Y,-0.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,8,23266,6,1,7,1,35.5,3.3,0.08,66,Y,0.58,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.6315615,g 700+,g 700-760,0.9758194,3.3 +2,2,23273,3,2,5,1,31,3.3,-0.77,65,Y,-1.07,P,7,P,94,1,4,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,661.578933,f 640-700,f 640-700,0.9758194,3.3 +4,7,23279,5,2,7,2,30,3.3,-0.28,67,Y,0.34,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +3,5,23291,3,1,7,3,32.5,3.3,-0.56,69,Y,-0.19,F,7,P,96,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +,,23301,,2,7,1,37,3.3,,66,Y,,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,23308,10,1,7,4,31,3.3,1.77,68,Y,1.43,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.578933,f 640-700,f 640-700,0.9758194,3.3 +10,10,23342,10,2,7,1,40.5,3.3,1.95,68,Y,1.8,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.5789265,g 700+,h 760-820,0.9758194,3.3 +9,10,23350,9,2,7,1,41,3.3,1.18,68,Y,1.61,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,9,23354,10,1,7,3,33,3.3,1.27,68,Y,0.97,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +,,23383,,2,7,4,34.5,3.3,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.8420885,g 700+,g 700-760,0.9758194,3.3 +7,7,23387,7,2,7,2,34,3.3,0.46,68,Y,0.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,2,23401,1,1,7,3,33,3.3,-1.36,68,Y,-1.11,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,4,23429,4,1,7,3,33,3.3,-0.27,69,Y,-0.5,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,7,23455,9,1,7,1,38,3.3,1.05,67,Y,0.55,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +3,2,23462,3,1,7,3,35,3.3,-0.57,60,Y,-1.24,F,7,F,95,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,3,23471,1,1,7,3,24,3.3,-1.57,68,Y,-0.71,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,551.052622,d 520-580,d 520-580,0.9758194,3.3 +2,2,23497,2,1,7,1,32,3.3,-0.97,67,Y,-1.27,P,,P,,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +10,4,23499,10,2,7,5,40,3.3,1.62,69,Y,-0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,23502,10,2,7,1,40,3.3,1.36,69,Y,1.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,6,23520,8,2,7,3,37,3.3,0.6,68,Y,0.1,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +10,10,23534,10,2,7,4,44,3.3,1.7,66,Y,1.67,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +2,1,23539,2,1,3,1,25,3.3,-1.08,63,Y,-1.73,F,7,P,96,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,566.842095,d 520-580,d 520-580,0.9758194,3.3 +7,5,23560,7,1,7,3,34,3.3,0.35,69,Y,-0.17,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,10,23562,10,2,7,1,37,3.3,1.57,67,Y,1.78,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,4,23583,5,1,7,4,39,3.3,-0.22,66,Y,-0.37,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +8,7,23645,8,2,7,4,44,3.3,0.66,50,Y,0.34,P,2,P,95,2,4,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +1,2,23684,2,1,7,3,29,3.3,-1.21,68,Y,-1.27,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +3,4,23723,3,1,7,2,30.5,3.3,-0.69,69,Y,-0.51,F,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +5,5,23727,5,2,7,3,34,3.3,-0.03,51,Y,-0.28,P,2,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,1,23732,1,1,5,4,36,3.3,-1.98,64,Y,-1.42,P,7,P,94,1,4,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,5,23753,7,2,7,1,36,3.3,0.32,68,Y,-0.21,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,6,23760,5,1,7,4,33.5,3.3,-0.23,62,Y,0.11,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,701.0526155,g 700+,g 700-760,0.9758194,3.3 +5,5,23762,5,2,2,5,38,3.3,-0.03,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,3,23781,5,1,2,4,36,3.3,-0.07,63,Y,-0.7,P,2,P,96,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,7,23782,4,1,7,3,36,3.3,-0.26,68,Y,0.46,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,23783,10,2,7,5,46,3.3,1.72,66,Y,2.03,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,898.421028,g 700+,i 820+,0.9758194,3.3 +10,10,23790,10,2,7,1,38,3.3,2.16,63,Y,1.78,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,7,23795,4,1,7,4,33,3.3,-0.36,66,Y,0.32,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,10,23803,10,2,7,2,33,3.3,1.25,69,Y,1.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,10,23807,10,1,7,3,38,3.3,1.35,69,Y,1.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,8,23823,5,2,7,4,39,3.3,-0.15,64,Y,0.54,P,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,3,23834,4,2,7,4,39,3.3,-0.37,63,Y,-0.53,P,2,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,4,23853,3,2,7,1,39,3.3,-0.79,69,Y,-0.46,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +2,3,23862,3,1,7,2,26.5,3.3,-0.75,69,Y,-0.78,P,2,P,96,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,590.5263045,e 580-640,e 580-640,0.9758194,3.3 +2,3,23881,3,1,7,4,40,3.3,-0.78,63,Y,-0.64,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,5,23882,6,2,7,1,41,3.3,0.22,67,Y,-0.09,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +10,5,23887,10,2,7,1,36,3.3,1.67,69,Y,-0.16,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,10,23891,10,2,7,3,41,3.3,1.52,69,Y,1.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +8,9,23902,8,2,7,3,34,3.3,0.63,68,Y,1.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,3,23920,3,1,7,4,39,3.3,-0.58,69,Y,-0.7,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +8,9,23927,8,2,7,4,40,3.3,0.65,67,Y,1.14,P,2,P,95,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +10,10,23968,10,2,3,6,30,3.3,1.39,63,Y,1.64,P,2,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,645.78946,f 640-700,f 640-700,0.9758194,3.3 +2,5,24001,2,1,7,1,41,3.3,-0.86,,Y,-0.19,P,7,P,94,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,8,24062,7,2,6,1,36,3.3,0.51,69,Y,0.63,P,7,P,94,1,5,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +4,6,24063,4,1,7,3,33,3.3,-0.36,67,Y,0.02,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,7,24065,9,2,7,3,41,3.3,1.06,67,Y,0.52,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.473663,g 700+,h 760-820,0.9758194,3.3 +4,6,24069,4,2,7,1,38,3.3,-0.29,60,Y,0.16,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,9,24087,8,1,7,1,42,3.3,0.77,67,Y,0.88,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +10,9,24088,10,2,7,1,46,3.3,1.42,61,Y,0.97,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +10,9,24090,10,1,7,4,41,3.3,2.45,48,Y,1.05,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,2,24101,1,1,8,3,25,3.3,-1.45,69,Y,-1.06,P,7,P,94,1,5,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,566.842095,d 520-580,d 520-580,0.9758194,3.3 +9,9,24103,9,2,7,1,33,3.3,0.99,64,Y,1.02,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,5,24124,3,2,7,3,31.3,3.3,-0.73,68,Y,-0.21,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.3157749,f 640-700,f 640-700,0.9758194,3.3 +6,7,24126,6,2,7,2,33.5,3.3,0.15,69,Y,0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,701.0526155,g 700+,g 700-760,0.9758194,3.3 +4,5,24130,5,1,7,1,42,3.3,-0.19,69,Y,-0.25,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +1,2,24146,1,1,7,4,35,3.3,-1.3,67,Y,-1.14,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +,,24147,,2,7,4,44,3.3,,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +7,7,24153,7,2,7,3,38,3.3,0.37,69,Y,0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,6,24154,5,1,7,2,37,3.3,-0.24,68,Y,0.13,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,6,24164,4,1,7,3,36,3.3,-0.48,70,Y,0.09,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +8,9,24165,8,2,7,1,40,3.3,0.65,67,Y,1.14,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,3,24168,5,2,7,4,32.5,3.3,-0.11,69,Y,-0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,685.2631425,f 640-700,f 640-700,0.9758194,3.3 +7,6,24172,7,2,7,1,23,3.3,0.38,66,Y,0.09,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,535.263149,d 520-580,d 520-580,0.9758194,3.3 +4,3,24174,4,2,7,1,37,3.3,-0.37,36,Y,-0.64,F,2,P,95,1,2,-34,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,24185,5,2,7,3,43,3.3,-0.07,62,Y,,P,2,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +4,7,24198,4,2,7,4,35,3.3,-0.26,69,Y,0.29,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,8,24229,7,2,7,3,35,3.3,0.41,68,Y,0.68,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +7,4,24234,7,1,3,3,27.5,3.3,0.4,64,Y,-0.41,P,2,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,606.3157775,e 580-640,e 580-640,0.9758194,3.3 +,,24247,,2,7,1,41,3.3,,64,Y,,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +4,5,24253,5,2,7,1,36,3.3,-0.22,69,Y,-0.23,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +2,3,24258,2,2,7,1,38,3.3,-0.83,65,Y,-0.57,P,7,P,93,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +1,2,24261,1,2,7,3,37,3.3,-1.83,69,Y,-1.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,4,24268,6,2,7,3,33,3.3,0.14,69,Y,-0.38,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,10,24283,9,2,7,1,37,3.3,1.14,69,Y,1.3,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,3,24284,4,2,7,3,38,3.3,-0.32,69,Y,-0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,5,24292,4,1,2,3,39,3.3,-0.32,68,Y,-0.14,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,5,24298,5,1,3,1,29,3.3,-0.18,68,Y,-0.22,P,2,P,94,1,3,-66,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,629.999987,e 580-640,e 580-640,0.9758194,3.3 +4,2,24301,4,2,7,3,36,3.3,-0.38,66,Y,-1.08,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +1,1,24302,1,2,6,3,26,3.3,-1.5,58,Y,-1.73,F,7,P,96,1,3,-51,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,582.631568,e 580-640,e 580-640,0.9758194,3.3 +8,9,24305,8,2,7,4,47,3.3,0.83,61,Y,0.87,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +9,9,24318,9,2,7,4,41,3.3,1.05,65,Y,1.04,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +2,5,24320,3,2,7,3,40,3.3,-0.77,69,Y,-0.1,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,5,24334,5,1,2,1,39,3.3,-0.11,66,Y,-0.12,P,7,P,94,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,6,24360,5,1,7,3,37,3.3,-0.2,64,Y,0.08,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,4,24361,7,2,7,3,34,3.3,0.39,68,Y,-0.5,P,6,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +9,7,24362,9,2,7,3,33,3.3,0.94,69,Y,0.52,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,4,24366,4,1,2,4,39,3.3,-0.43,68,Y,-0.38,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,5,24374,5,1,7,4,38,3.3,-0.1,69,Y,-0.16,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,9,24409,8,2,7,4,46,3.3,0.79,68,Y,0.98,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +,,24445,1,2,7,3,20,3.3,-1.6,57,X,,F,7,F,95,2,1,-50,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,487.89473,c 460-520,c 460-520,0.9758194,3.3 +2,3,24458,2,1,3,1,20,3.3,-1.05,68,Y,-0.83,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,487.89473,c 460-520,c 460-520,0.9758194,3.3 +7,6,24461,7,1,7,3,30.5,3.3,0.49,56,Y,0.22,P,7,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +8,8,24463,8,1,7,3,33,3.3,0.6,45,Y,0.8,P,2,P,95,1,1,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,8,24467,5,2,7,4,48,3.3,-0.06,68,Y,0.59,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +9,9,24522,9,2,7,3,37.5,3.3,1.2,69,Y,1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.2105075,g 700+,h 760-820,0.9758194,3.3 +9,10,24524,9,1,7,4,47,3.3,1.08,63,Y,1.5,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,914.210501,g 700+,i 820+,0.9758194,3.3 +9,8,24541,9,2,7,3,42,3.3,1.12,63,Y,0.73,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +5,4,24571,6,2,7,3,35.5,3.3,0.03,67,Y,-0.36,F,7,P,96,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +2,2,24579,2,2,2,4,39,3.3,-0.92,69,Y,-1.21,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,10,24597,10,1,7,2,34,3.3,1.65,69,Y,1.54,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,1,24610,1,1,1,4,29,3.3,-1.6,68,Y,-1.72,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,629.999987,e 580-640,e 580-640,0.9758194,3.3 +6,8,24612,6,2,7,5,39,3.3,0.17,68,Y,0.6,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,24637,10,2,7,5,46,3.3,1.54,67,Y,,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,898.421028,g 700+,i 820+,0.9758194,3.3 +10,10,24639,10,1,7,4,48,3.3,1.43,53,Y,1.94,P,7,P,94,1,2,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +3,2,24649,3,2,7,3,39,3.3,-0.64,66,Y,-0.97,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,8,24670,6,2,7,1,40,3.3,0.17,52,Y,0.58,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,7,24673,5,1,7,3,33,3.3,-0.15,64,Y,0.51,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,5,24677,4,1,7,1,38,3.3,-0.28,69,Y,-0.06,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,5,24698,6,2,7,1,37,3.3,0.11,64,Y,-0.09,P,7,P,93,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +1,1,24707,1,1,3,4,33.5,3.3,-1.89,69,Y,-2.14,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,701.0526155,g 700+,g 700-760,0.9758194,3.3 +5,5,24744,5,1,7,4,37,3.3,-0.11,65,Y,-0.22,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,7,24780,8,2,7,1,43,3.3,0.8,69,Y,0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.052609,g 700+,i 820+,0.9758194,3.3 +1,1,24789,2,1,7,3,37,3.3,-1.24,69,Y,-1.59,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,2,24792,4,2,7,3,28,3.3,-0.4,63,Y,-1.3,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,614.210514,e 580-640,e 580-640,0.9758194,3.3 +,,24795,,1,7,3,37,3.3,,68,Y,-0.5,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,24808,9,2,7,4,39.5,3.3,1.02,66,Y,1.15,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.7894535,g 700+,h 760-820,0.9758194,3.3 +1,1,24852,1,2,7,3,37,3.3,-1.78,69,Y,-1.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +5,6,24866,5,1,7,1,42,3.3,-0.08,69,Y,0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +5,3,24875,5,1,3,3,31,3.3,-0.03,70,Y,-0.74,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,661.578933,f 640-700,f 640-700,0.9758194,3.3 +5,3,24901,5,2,2,3,32,3.3,-0.17,70,Y,-0.63,P,7,P,94,1,3,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +7,6,24921,7,1,7,1,42,3.3,0.44,65,Y,0.29,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +10,10,24928,10,2,7,3,37.5,3.3,1.66,61,Y,2.26,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.2105075,g 700+,h 760-820,0.9758194,3.3 +5,4,24929,5,2,7,1,39,3.3,-0.14,65,Y,-0.35,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +7,8,24981,7,1,7,1,37,3.3,0.5,67,Y,0.58,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +2,7,24994,2,1,7,3,30,3.3,-1.07,66,Y,0.43,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +3,3,24999,4,1,7,3,35,3.3,-0.47,68,Y,-0.59,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,4,25003,5,1,7,3,36,3.3,-0.08,69,Y,-0.4,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,2,25016,3,2,1,3,33,3.3,-0.54,68,Y,-1.16,P,2,P,95,1,4,-66,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +2,2,25017,3,2,7,3,38,3.3,-0.73,69,Y,-1.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +9,9,25024,9,1,2,2,31,3.3,0.86,68,Y,1.14,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +4,4,25034,4,1,6,3,37,3.3,-0.25,69,Y,-0.5,F,7,F,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,9,25046,7,2,7,1,33,3.3,0.48,67,Y,1.19,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,4,25047,4,2,6,1,42,3.3,-0.34,67,Y,-0.39,P,7,P,95,2,2,-60,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +6,5,25055,6,2,7,3,40,3.3,0.15,68,Y,-0.04,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,5,25062,5,1,7,2,30.5,3.3,-0.2,69,Y,-0.31,F,7,P,96,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,653.6841965,f 640-700,f 640-700,0.9758194,3.3 +,,25065,,1,7,3,37,3.3,,66,Y,0.2,P,2,P,96,2,4,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +,,25068,4,2,7,1,33.7,3.3,-0.4,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.2105101,g 700+,g 700-760,0.9758194,3.3 +8,9,25080,8,2,7,1,37,3.3,0.69,53,Y,0.96,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,5,25082,7,2,7,1,35,3.3,0.52,69,Y,-0.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +,,25105,,2,7,5,45,3.3,,64,Y,,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,882.631555,g 700+,i 820+,0.9758194,3.3 +2,4,25119,2,2,7,3,33.5,3.3,-1.11,69,Y,-0.5,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.0526155,g 700+,g 700-760,0.9758194,3.3 +,,25129,,2,7,5,44,3.3,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +8,9,25130,8,2,7,1,36,3.3,0.74,33,Y,0.93,P,2,P,95,1,3,-31,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +10,9,25136,10,1,7,3,35,3.3,1.52,66,Y,1.24,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,10,25147,10,1,7,3,40,3.3,1.76,65,Y,1.93,P,2,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,3,25168,3,1,7,3,34,3.3,-0.69,69,Y,-0.64,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,4,25187,3,1,7,1,41.5,3.3,-0.69,66,Y,-0.46,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.3683995,g 700+,i 820+,0.9758194,3.3 +4,2,25219,5,1,3,3,26,3.3,-0.25,62,Y,-1.03,F,7,F,95,2,3,-55,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,582.631568,e 580-640,e 580-640,0.9758194,3.3 +9,8,25242,9,1,7,3,34,3.3,1.08,68,Y,0.62,P,7,P,94,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +,,25273,,1,5,5,41,3.3,,64,Y,0,P,7,P,94,1,4,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +6,6,25344,6,1,7,4,37.5,3.3,0.25,68,Y,0.21,P,7,P,95,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,764.2105075,g 700+,h 760-820,0.9758194,3.3 +2,2,25354,2,2,7,4,46,3.3,-1.04,63,Y,-0.88,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +8,8,25357,8,2,7,5,44,3.3,0.67,67,Y,0.76,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,866.842082,g 700+,i 820+,0.9758194,3.3 +5,4,25367,5,1,7,3,37,3.3,-0.05,69,Y,-0.33,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +8,6,25391,8,2,7,3,33,3.3,0.65,58,Y,0.26,P,2,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,9,25402,9,1,7,1,33,3.3,1.27,64,Y,1.01,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +9,8,25431,9,2,7,1,40,3.3,1.25,68,Y,0.6,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,25449,1,1,3,1,22.5,3.3,-2.11,67,Y,-2.15,F,7,P,96,1,1,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,527.3684125,d 520-580,d 520-580,0.9758194,3.3 +4,3,25450,4,1,7,3,32,3.3,-0.39,53,Y,-0.86,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +10,10,25484,10,1,7,3,40,3.3,1.46,68,Y,1.8,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +,,25491,,1,7,4,48,3.3,,67,Y,,F,7,F,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,929.999974,g 700+,i 820+,0.9758194,3.3 +5,4,25511,5,2,7,1,37,3.3,-0.03,69,Y,-0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,7,25516,9,2,7,3,40,3.3,1.1,69,Y,0.52,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,7,25522,7,1,7,3,37,3.3,0.29,66,Y,0.53,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +7,3,25543,8,2,7,1,28,3.3,0.59,65,Y,-0.62,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,614.210514,e 580-640,e 580-640,0.9758194,3.3 +3,3,25552,4,1,7,3,35,3.3,-0.52,68,Y,-0.8,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +10,9,25557,10,1,7,1,45,3.3,1.57,67,Y,1.13,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +10,8,25578,10,2,7,1,35,3.3,1.34,67,Y,0.65,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,5,25582,5,2,7,3,32,3.3,-0.12,68,Y,-0.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,4,25587,5,1,2,4,36,3.3,-0.17,69,Y,-0.41,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,7,25597,9,2,7,4,41,3.3,0.97,68,Y,0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +5,6,25608,5,2,2,4,28.5,3.3,-0.03,66,Y,0.25,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,622.1052505,e 580-640,e 580-640,0.9758194,3.3 +9,9,25649,9,2,7,2,36,3.3,0.92,69,Y,0.92,P,2,P,96,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,740.526298,g 700+,g 700-760,0.9758194,3.3 +5,6,25677,5,2,2,5,42,3.3,-0.08,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +2,5,25705,2,1,2,5,39,3.3,-1.13,69,Y,-0.2,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,787.894717,g 700+,h 760-820,0.9758194,3.3 +4,3,25716,4,2,7,1,38,3.3,-0.37,55,Y,-0.85,P,7,P,95,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +2,3,25728,3,2,7,3,42,3.3,-0.75,68,Y,-0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,835.263136,g 700+,i 820+,0.9758194,3.3 +7,8,25767,7,1,7,1,42,3.3,0.36,68,Y,0.74,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +1,2,25803,1,2,7,1,40,3.3,-1.56,69,Y,-1.3,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,6,25809,5,1,7,1,44,3.3,-0.08,69,Y,0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +6,5,25814,6,2,7,4,44,3.3,0.23,67,Y,-0.05,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,866.842082,g 700+,i 820+,0.9758194,3.3 +2,2,25841,2,1,4,5,34,3.3,-1.07,67,Y,-1.06,P,2,P,95,1,2,-65,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,708.947352,g 700+,g 700-760,0.9758194,3.3 +5,4,25852,5,2,7,1,39,3.3,-0.1,61,Y,-0.41,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +8,6,25856,9,2,7,1,38,3.3,0.88,68,Y,0.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,6,25858,7,2,7,3,27.7,3.3,0.33,63,Y,0.08,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.4736721,e 580-640,e 580-640,0.9758194,3.3 +9,7,25872,9,2,7,1,40,3.3,0.99,60,Y,0.43,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,6,25892,8,2,7,1,35,3.3,0.66,69,Y,0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,8,25894,8,2,7,5,42,3.3,0.86,68,Y,0.76,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.263136,g 700+,i 820+,0.9758194,3.3 +7,6,25941,7,2,7,3,30,3.3,0.35,67,Y,0.12,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +8,9,25991,8,1,7,1,42,3.3,0.71,68,Y,1.02,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +9,5,26019,9,2,7,3,33,3.3,0.87,66,Y,-0.05,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,6,26035,5,1,7,1,34,3.3,-0.01,69,Y,0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +10,8,26050,10,1,7,1,42,3.3,1.39,69,Y,0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.263136,g 700+,i 820+,0.9758194,3.3 +8,7,26066,8,2,7,1,41,3.3,0.63,66,Y,0.44,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,8,26070,7,2,7,1,31,3.3,0.38,62,Y,0.57,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,661.578933,f 640-700,f 640-700,0.9758194,3.3 +5,5,26077,6,2,7,4,45,3.3,0.01,67,Y,-0.2,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,882.631555,g 700+,i 820+,0.9758194,3.3 +1,1,26089,1,2,7,1,33,3.3,-1.38,60,Y,-1.68,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,3,26121,5,1,4,2,30,3.3,-0.17,66,Y,-0.84,F,7,F,95,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,2,645.78946,f 640-700,f 640-700,0.9758194,3.3 +4,5,26143,4,2,7,4,28.5,3.3,-0.32,68,Y,-0.15,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,622.1052505,e 580-640,e 580-640,0.9758194,3.3 +8,8,26162,8,1,7,3,36,3.3,0.75,68,Y,0.73,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +3,3,26190,3,1,8,3,33,3.3,-0.56,69,Y,-0.75,F,6,P,95,1,3,-63,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +6,6,26194,6,2,7,3,35.3,3.3,0.22,67,Y,0.08,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.4736669,g 700+,g 700-760,0.9758194,3.3 +4,2,26230,4,2,7,5,41,3.3,-0.25,69,Y,-1.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,819.473663,g 700+,h 760-820,0.9758194,3.3 +7,8,26238,7,1,7,3,33,3.3,0.51,65,Y,0.56,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +3,4,26239,4,2,7,1,38,3.3,-0.45,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,7,26241,7,1,7,1,32,3.3,0.34,68,Y,0.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,4,26249,5,1,7,1,35,3.3,-0.13,61,Y,-0.48,P,2,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,8,26290,8,1,7,4,40,3.3,0.71,53,Y,0.63,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +8,4,26291,8,2,7,1,34,3.3,0.85,66,Y,-0.51,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,4,26306,3,1,4,1,36,3.3,-0.53,67,Y,-0.5,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,6,26316,7,1,7,1,34,3.3,0.39,67,Y,0.28,F,7,P,95,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,708.947352,g 700+,g 700-760,0.9758194,3.3 +2,1,26331,2,1,3,1,26,3.3,-1.04,68,Y,-1.48,F,7,F,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,582.631568,e 580-640,e 580-640,0.9758194,3.3 +7,6,26341,7,1,2,4,42,3.3,0.35,69,Y,0.17,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +7,6,26344,7,1,7,3,39,3.3,0.32,60,Y,0.08,P,7,P,95,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +6,7,26355,6,1,7,3,35.5,3.3,0.17,68,Y,0.54,P,7,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.6315615,g 700+,g 700-760,0.9758194,3.3 +9,8,26365,9,2,7,3,34,3.3,1.02,68,Y,0.84,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +1,3,26375,1,2,7,4,40,3.3,-1.5,58,Y,-0.56,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,7,26385,7,2,7,4,42,3.3,0.47,65,Y,0.46,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +4,3,26388,4,1,7,4,39,3.3,-0.26,71,Y,-0.56,P,2,P,95,1,3,-69,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,10,26392,10,2,7,3,40,3.3,1.27,67,Y,1.9,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +7,8,26401,8,1,7,1,38,3.3,0.58,62,Y,0.82,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,5,26431,8,2,7,4,41,3.3,0.68,69,Y,0,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,819.473663,g 700+,h 760-820,0.9758194,3.3 +4,4,26449,4,1,7,1,33,3.3,-0.35,57,Y,-0.51,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.157879,f 640-700,f 640-700,0.9758194,3.3 +8,7,26493,8,1,7,3,34.5,3.3,0.77,67,Y,0.32,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.8420885,g 700+,g 700-760,0.9758194,3.3 +2,1,26495,2,2,7,3,35,3.3,-0.85,68,Y,-1.53,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +6,8,26503,6,1,7,3,32,3.3,0.22,58,Y,0.65,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +6,8,26507,6,2,7,4,42,3.3,0.23,67,Y,0.79,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +5,5,26512,6,2,7,1,38,3.3,0.04,54,Y,-0.02,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,6,26538,5,1,7,2,29,3.3,-0.22,69,Y,0.05,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,629.999987,e 580-640,e 580-640,0.9758194,3.3 +9,9,26563,9,1,7,2,35,3.3,0.9,67,Y,0.97,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,1,26573,5,2,8,3,27,3.3,-0.03,69,Y,-1.75,F,7,P,95,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,598.421041,e 580-640,e 580-640,0.9758194,3.3 +3,4,26576,3,1,7,1,44,3.3,-0.72,68,Y,-0.42,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +7,9,26607,7,1,7,1,37,3.3,0.49,67,Y,1.08,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,26611,9,2,7,1,41,3.3,0.92,68,Y,0.92,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +1,2,26628,2,2,7,3,40,3.3,-1.16,53,Y,-0.95,P,7,P,95,2,3,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,803.68419,g 700+,h 760-820,0.9758194,3.3 +1,1,26640,1,1,3,3,23.5,3.3,-2.72,69,Y,-1.45,F,2,F,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,543.1578855,d 520-580,d 520-580,0.9758194,3.3 +1,2,26654,1,2,6,2,22,3.3,-1.44,66,Y,-1.1,P,7,P,94,1,5,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,519.473676,c 460-520,c 460-520,0.9758194,3.3 +3,5,26658,4,1,7,3,31.5,3.3,-0.43,64,Y,-0.1,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,669.4736695,f 640-700,f 640-700,0.9758194,3.3 +3,3,26666,4,2,7,1,36,3.3,-0.46,62,Y,-0.59,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +6,8,26667,7,2,7,3,37,3.3,0.3,66,Y,0.55,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,6,26682,3,1,7,1,41,3.3,-0.54,69,Y,0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.473663,g 700+,h 760-820,0.9758194,3.3 +9,9,26692,9,1,7,3,29.5,3.3,1.24,69,Y,1.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.8947235,e 580-640,e 580-640,0.9758194,3.3 +7,7,26696,7,2,7,3,38,3.3,0.44,67,Y,0.5,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,4,26704,4,1,7,4,46,3.3,-0.39,52,Y,-0.32,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,898.421028,g 700+,i 820+,0.9758194,3.3 +3,2,26706,3,2,7,5,40,3.3,-0.74,67,Y,-0.91,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,803.68419,g 700+,h 760-820,0.9758194,3.3 +5,7,26723,6,2,7,4,42,3.3,0.05,68,Y,0.32,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +2,3,26738,2,1,7,1,39,3.3,-0.89,67,Y,-0.75,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +,,26746,7,2,7,3,43,3.3,0.48,66,Y,,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,851.052609,g 700+,i 820+,0.9758194,3.3 +7,4,26756,7,2,6,4,33,3.3,0.51,69,Y,-0.39,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.157879,f 640-700,f 640-700,0.9758194,3.3 +5,4,26761,5,1,7,3,33,3.3,-0.16,70,Y,-0.48,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +10,10,26765,10,2,7,4,37,3.3,1.74,65,Y,1.77,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,9,26773,9,1,7,4,42,3.3,1.02,69,Y,1.14,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +6,7,26790,6,1,7,1,46,3.3,0.2,68,Y,0.43,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,898.421028,g 700+,i 820+,0.9758194,3.3 +9,9,26792,9,2,7,1,25,3.3,1.21,69,Y,1.27,P,7,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,566.842095,d 520-580,d 520-580,0.9758194,3.3 +3,6,26795,3,1,7,4,35,3.3,-0.69,69,Y,0.06,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +3,4,26805,4,2,7,1,38,3.3,-0.5,69,Y,-0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,5,26829,5,1,7,1,38,3.3,-0.05,64,Y,-0.15,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +6,4,26852,6,1,7,3,32,3.3,0.17,69,Y,-0.51,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +4,4,26879,4,2,7,1,40,3.3,-0.37,65,Y,-0.52,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +6,6,26884,6,2,7,4,42,3.3,0.07,69,Y,0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +2,3,26906,2,2,7,3,33,3.3,-0.89,67,Y,-0.86,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.157879,f 640-700,f 640-700,0.9758194,3.3 +4,3,26939,4,1,6,4,37,3.3,-0.45,69,Y,-0.74,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.315771,g 700+,g 700-760,0.9758194,3.3 +3,6,26945,3,1,7,3,28,3.3,-0.56,68,Y,0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.210514,e 580-640,e 580-640,0.9758194,3.3 +3,6,26952,3,2,7,1,37,3.3,-0.64,67,Y,0.13,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +4,5,26967,5,2,2,1,38,3.3,-0.16,66,Y,-0.07,P,7,P,94,1,2,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,6,26980,6,1,7,4,31,3.3,0.05,69,Y,0.13,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.578933,f 640-700,f 640-700,0.9758194,3.3 +3,2,26993,4,2,7,3,34,3.3,-0.44,67,Y,-1.22,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,708.947352,g 700+,g 700-760,0.9758194,3.3 +8,8,27023,8,1,4,1,32,3.3,0.63,63,Y,0.58,P,7,P,94,1,2,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,677.368406,f 640-700,f 640-700,0.9758194,3.3 +5,6,27043,5,1,7,4,38,3.3,-0.1,68,Y,0.03,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.105244,g 700+,h 760-820,0.9758194,3.3 +4,4,27054,4,2,7,3,39,3.3,-0.32,67,Y,-0.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,787.894717,g 700+,h 760-820,0.9758194,3.3 +10,10,27055,10,2,7,3,32,3.3,1.78,69,Y,1.87,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +,,27086,,1,7,4,35,3.3,,64,Y,,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.736825,g 700+,g 700-760,0.9758194,3.3 +4,3,27100,4,1,7,3,37,3.3,-0.29,64,Y,-0.64,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.315771,g 700+,g 700-760,0.9758194,3.3 +6,5,27104,6,2,7,1,38.5,3.3,0.12,66,Y,-0.25,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.9999805,g 700+,h 760-820,0.9758194,3.3 +7,8,27114,7,1,7,3,32,3.3,0.5,59,Y,0.85,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.368406,f 640-700,f 640-700,0.9758194,3.3 +1,1,27150,1,1,2,1,26,3.3,-1.35,67,Y,-1.48,F,7,P,95,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,582.631568,e 580-640,e 580-640,0.9758194,3.3 +10,9,27159,10,2,7,1,44,3.3,1.55,63,Y,1.13,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,866.842082,g 700+,i 820+,0.9758194,3.3 +1,1,27198,1,1,6,1,27,3.3,-1.52,65,Y,-1.77,F,2,P,96,1,2,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,598.421041,e 580-640,e 580-640,0.9758194,3.3 +4,2,27204,4,2,7,3,35,3.3,-0.39,58,Y,-0.99,F,7,F,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +5,7,27207,5,1,7,1,38,3.3,-0.1,69,Y,0.4,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,10,27220,8,1,7,1,40,3.3,0.77,69,Y,1.45,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +4,4,27229,4,2,7,2,31,3.3,-0.36,66,Y,-0.52,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,661.578933,f 640-700,f 640-700,0.9758194,3.3 +5,5,27236,5,2,2,3,29,3.3,-0.07,53,Y,-0.11,P,2,P,95,1,3,-51,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,629.999987,e 580-640,e 580-640,0.9758194,3.3 +3,5,27244,3,1,7,1,38,3.3,-0.56,59,Y,0,P,7,P,93,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +10,9,27250,10,2,7,2,34,3.3,1.32,68,Y,1.01,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,708.947352,g 700+,g 700-760,0.9758194,3.3 +3,5,27252,4,2,7,1,37,3.3,-0.5,57,Y,-0.15,P,7,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.315771,g 700+,g 700-760,0.9758194,3.3 +9,8,27256,9,2,7,3,36,3.3,0.99,58,Y,0.66,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,740.526298,g 700+,g 700-760,0.9758194,3.3 +7,7,27274,8,1,7,3,38,3.3,0.56,69,Y,0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +5,4,27295,5,1,7,1,40,3.3,-0.05,68,Y,-0.39,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,803.68419,g 700+,h 760-820,0.9758194,3.3 +3,3,27382,4,1,3,3,26,3.3,-0.48,69,Y,-0.6,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,582.631568,e 580-640,e 580-640,0.9758194,3.3 +6,6,27394,6,2,7,3,30,3.3,0.16,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.78946,f 640-700,f 640-700,0.9758194,3.3 +3,5,27396,4,1,7,3,38,3.3,-0.48,69,Y,-0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.105244,g 700+,h 760-820,0.9758194,3.3 +7,5,27417,7,2,7,1,38,3.3,0.39,61,Y,-0.15,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.105244,g 700+,h 760-820,0.9758194,3.3 +8,10,27424,8,1,7,1,39,3.3,0.69,66,Y,1.29,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +9,8,27432,9,1,7,3,35,3.3,0.96,64,Y,0.63,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.736825,g 700+,g 700-760,0.9758194,3.3 +1,2,27433,1,2,6,1,29,3.3,-1.66,67,Y,-1.2,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,629.999987,e 580-640,e 580-640,0.9758194,3.3 +7,7,27439,7,2,7,1,35,3.3,0.51,69,Y,0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,9,27447,8,2,7,1,36,3.3,0.83,68,Y,1.02,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,740.526298,g 700+,g 700-760,0.9758194,3.3 +9,9,27456,9,1,7,1,45,3.3,1.13,64,Y,1.05,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,882.631555,g 700+,i 820+,0.9758194,3.3 +2,2,27457,2,1,4,1,35,3.3,-1.09,67,Y,-0.89,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,724.736825,g 700+,g 700-760,0.9758194,3.3 +8,7,27459,8,1,7,1,39,3.3,0.74,59,Y,0.51,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.894717,g 700+,h 760-820,0.9758194,3.3 +5,5,27465,5,2,7,4,42,3.3,-0.2,63,Y,-0.04,P,2,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,835.263136,g 700+,i 820+,0.9758194,3.3 +8,7,27469,8,1,7,3,29.5,3.3,0.76,68,Y,0.4,P,6,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.8947235,e 580-640,e 580-640,0.9758194,3.3 +1,1,11,1,2,7,3,24.5,2.2,-1.73,66,Y,-1.34,F,7,P,96,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,448.9473585,b 400-460,b 400-460,0.8907701,2.2 +,,227,,2,4,,28,2.2,-0.31,66,Y,-1.45,P,2,P,95,2,3,-64,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,,504.210514,c 460-520,c 460-520,0.8907701,2.2 +10,4,262,10,2,7,5,46,2.2,2.72,66,Y,-0.36,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,788.421028,g 700+,h 760-820,0.8907701,2.2 +2,2,357,2,2,7,3,38,2.2,-0.94,64,Y,-0.91,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,662.105244,f 640-700,f 640-700,0.8907701,2.2 +3,2,782,4,2,7,3,37,2.2,-0.47,59,Y,-0.9,F,7,F,95,2,5,-52,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,646.315771,f 640-700,f 640-700,0.8907701,2.2 +1,1,2083,1,2,3,1,35,2.2,-1.86,62,Y,-1.79,P,7,P,94,1,2,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,614.736825,e 580-640,e 580-640,0.8907701,2.2 +4,3,2458,4,2,7,4,44,2.2,-0.45,59,Y,-0.62,P,2,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.842082,g 700+,g 700-760,0.8907701,2.2 +1,2,2499,1,2,7,1,37,2.2,-1.29,40,Y,-0.99,F,7,F,95,2,3,-33,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,646.315771,f 640-700,f 640-700,0.8907701,2.2 +7,7,2591,8,2,7,6,30,2.2,0.61,56,Y,0.48,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,535.78946,d 520-580,d 520-580,0.8907701,2.2 +4,6,2632,5,2,7,3,37,2.2,-0.22,62,Y,0.21,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,646.315771,f 640-700,f 640-700,0.8907701,2.2 +3,1,2749,3,2,3,3,21,2.2,-0.67,52,Y,-1.35,P,2,P,96,2,3,-50,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,393.684203,a under 400,a under 400,0.8907701,2.2 +5,7,2838,5,1,4,6,26,2.2,-0.04,56,Y,0.38,P,7,P,94,1,2,-49,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,472.631568,c 460-520,c 460-520,0.8907701,2.2 +6,8,2913,7,1,7,3,34,2.2,0.26,58,Y,0.74,P,2,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.947352,e 580-640,e 580-640,0.8907701,2.2 +3,2,3125,4,2,4,3,31.5,2.2,-0.45,62,Y,-1.05,P,2,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,559.4736695,d 520-580,d 520-580,0.8907701,2.2 +6,6,3932,6,2,7,2,36,2.2,0.17,66,Y,-0.05,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,630.526298,e 580-640,e 580-640,0.8907701,2.2 +3,4,3984,4,2,7,3,36.5,2.2,-0.43,60,Y,-0.39,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.4210345,e 580-640,e 580-640,0.8907701,2.2 +10,8,4154,10,2,1,1,42,2.2,1.48,64,Y,0.66,P,7,P,95,2,3,-57,male,1,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,725.263136,g 700+,g 700-760,0.8907701,2.2 +6,5,4389,6,2,3,6,31,2.2,0.18,45,Y,-0.11,F,7,P,95,1,2,-38,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,551.578933,d 520-580,d 520-580,0.8907701,2.2 +2,6,4608,3,2,3,6,28,2.2,-0.65,63,Y,0.11,F,7,P,96,1,4,-56,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,504.210514,c 460-520,c 460-520,0.8907701,2.2 +7,7,4610,7,1,7,1,34,2.2,0.38,62,Y,0.41,P,2,P,96,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,598.947352,e 580-640,e 580-640,0.8907701,2.2 +1,4,4962,1,1,3,6,33,2.2,-1.41,70,Y,-0.55,P,7,P,95,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,583.157879,e 580-640,e 580-640,0.8907701,2.2 +2,6,4985,3,2,2,3,28,2.2,-0.79,66,Y,0.07,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,504.210514,c 460-520,c 460-520,0.8907701,2.2 +5,6,4994,5,1,3,4,34,2.2,-0.11,61,Y,0.04,P,7,P,94,1,2,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,598.947352,e 580-640,e 580-640,0.8907701,2.2 +3,5,5196,3,2,7,3,40,2.2,-0.68,65,Y,-0.14,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.68419,f 640-700,f 640-700,0.8907701,2.2 +4,2,5228,4,2,7,3,44,2.2,-0.29,68,Y,-0.89,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,756.842082,g 700+,g 700-760,0.8907701,2.2 +2,1,5355,2,1,7,3,47,2.2,-0.86,64,Y,-1.99,F,7,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,804.210501,g 700+,h 760-820,0.8907701,2.2 +10,10,5663,10,2,7,3,42,2.2,1.88,59,Y,1.35,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,725.263136,g 700+,g 700-760,0.8907701,2.2 +2,2,5779,2,2,3,6,32,2.2,-0.91,68,Y,-1.31,F,2,F,95,1,2,-66,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,567.368406,d 520-580,d 520-580,0.8907701,2.2 +,,5804,1,1,3,3,24,2.2,-1.73,63,X,,P,2,P,96,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,441.052622,b 400-460,b 400-460,0.8907701,2.2 +3,3,5977,3,2,7,1,31,2.2,-0.63,63,Y,-0.74,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,551.578933,d 520-580,d 520-580,0.8907701,2.2 +3,1,6137,3,2,7,1,26,2.2,-0.67,45,Y,-1.72,P,2,P,95,1,3,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,472.631568,c 460-520,c 460-520,0.8907701,2.2 +2,1,6158,2,2,3,1,40,2.2,-1.09,63,Y,-1.83,P,7,P,94,1,4,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,693.68419,f 640-700,f 640-700,0.8907701,2.2 +6,5,6745,6,1,3,3,32,2.2,0.2,65,Y,-0.06,F,7,P,96,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,567.368406,d 520-580,d 520-580,0.8907701,2.2 +5,4,6847,5,2,7,2,34,2.2,-0.14,64,Y,-0.44,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,598.947352,e 580-640,e 580-640,0.8907701,2.2 +2,2,6868,2,1,3,4,29,2.2,-1.02,59,Y,-1.1,F,7,P,95,1,4,-52,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,519.999987,c 460-520,c 460-520,0.8907701,2.2 +10,7,6873,10,2,7,4,40,2.2,1.91,67,Y,0.35,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.68419,f 640-700,f 640-700,0.8907701,2.2 +3,3,6954,3,2,7,3,36,2.2,-0.69,68,Y,-0.83,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,630.526298,e 580-640,e 580-640,0.8907701,2.2 +2,4,7006,3,2,7,6,22,2.2,-0.67,64,Y,-0.57,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,409.473676,b 400-460,b 400-460,0.8907701,2.2 +5,5,7465,5,2,7,3,38,2.2,-0.06,67,Y,-0.05,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,662.105244,f 640-700,f 640-700,0.8907701,2.2 +8,8,7615,8,1,7,2,43,2.2,0.63,59,Y,0.86,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,741.052609,g 700+,g 700-760,0.8907701,2.2 +2,2,7697,2,2,4,3,33,2.2,-1.05,64,Y,-1.07,P,7,P,94,1,1,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,583.157879,e 580-640,e 580-640,0.8907701,2.2 +3,4,7700,4,2,7,6,35,2.2,-0.42,66,Y,-0.55,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,614.736825,e 580-640,e 580-640,0.8907701,2.2 +10,10,8051,10,2,4,3,38,2.2,1.93,66,Y,1.44,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,662.105244,f 640-700,f 640-700,0.8907701,2.2 +7,8,8242,8,1,7,1,44,2.2,0.58,66,Y,0.56,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,756.842082,g 700+,g 700-760,0.8907701,2.2 +5,5,8389,6,2,7,2,40,2.2,0.04,62,Y,-0.12,P,2,P,95,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.68419,f 640-700,f 640-700,0.8907701,2.2 +3,5,8526,4,2,7,2,34,2.2,-0.54,58,Y,-0.23,P,2,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,598.947352,e 580-640,e 580-640,0.8907701,2.2 +1,1,8538,1,2,7,1,33,2.2,-1.93,52,Y,-2.43,P,2,P,96,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,583.157879,e 580-640,e 580-640,0.8907701,2.2 +2,1,8914,2,2,7,2,19,2.2,-1.03,57,Y,-1.32,F,7,F,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,362.105257,a under 400,a under 400,0.8907701,2.2 +6,7,9206,7,2,7,6,36,2.2,0.26,67,Y,0.27,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,630.526298,e 580-640,e 580-640,0.8907701,2.2 +3,4,9651,4,1,3,6,31,2.2,-0.48,61,Y,-0.45,F,7,F,94,1,2,-54,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,551.578933,d 520-580,d 520-580,0.8907701,2.2 +5,3,9742,5,2,7,3,43,2.2,-0.08,60,Y,-0.56,P,7,P,95,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,741.052609,g 700+,g 700-760,0.8907701,2.2 +,,10019,,1,3,6,26,2.2,,64,Y,,F,7,P,95,1,2,-57,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,472.631568,c 460-520,c 460-520,0.8907701,2.2 +6,3,10030,6,2,7,3,45,2.2,0.12,65,Y,-0.78,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.631555,g 700+,h 760-820,0.8907701,2.2 +,,10110,,2,7,3,42,2.2,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,725.263136,g 700+,g 700-760,0.8907701,2.2 +1,1,10148,1,1,7,3,22.5,2.2,-1.57,48,Y,-1.65,F,7,F,94,1,5,-41,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,417.3684125,b 400-460,b 400-460,0.8907701,2.2 +2,1,10737,2,1,3,3,26.5,2.2,-0.94,65,Y,-1.43,P,2,P,95,2,2,-63,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,480.5263045,c 460-520,c 460-520,0.8907701,2.2 +,,11007,,2,8,,21.5,2.2,-0.61,62,Y,,F,2,F,96,1,5,-60,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,,401.5789395,b 400-460,b 400-460,0.8907701,2.2 +8,9,11667,9,1,3,6,20,2.2,0.89,61,Y,1.25,P,7,P,94,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,377.89473,a under 400,a under 400,0.8907701,2.2 +,,11878,,2,7,2,32,2.2,,45,Y,,P,7,P,94,1,2,-38,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,567.368406,d 520-580,d 520-580,0.8907701,2.2 +7,2,12034,7,2,7,1,48,2.2,0.41,65,Y,-0.98,F,7,P,95,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,819.999974,g 700+,h 760-820,0.8907701,2.2 +,,12052,,2,7,,32,2.2,0.25,66,Y,-0.87,P,7,P,94,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,567.368406,d 520-580,d 520-580,0.8907701,2.2 +1,1,12290,1,1,3,3,28,2.2,-2.31,60,Y,-2.24,P,7,P,94,1,3,-53,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,504.210514,c 460-520,c 460-520,0.8907701,2.2 +7,6,12642,8,2,7,6,32,2.2,0.56,50,Y,-0.03,P,7,P,94,1,4,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,567.368406,d 520-580,d 520-580,0.8907701,2.2 +,,12862,,2,7,,36,2.2,1.49,66,Y,1.5,P,7,P,94,2,,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,630.526298,e 580-640,e 580-640,0.8907701,2.2 +9,8,13396,9,2,7,3,41,2.2,1.16,53,Y,0.65,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,709.473663,g 700+,g 700-760,0.8907701,2.2 +8,8,13463,9,2,4,6,23,2.2,0.89,66,Y,0.71,P,7,P,94,1,5,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,425.263149,b 400-460,b 400-460,0.8907701,2.2 +5,3,13533,6,2,7,3,39,2.2,0.03,66,Y,-0.62,P,2,P,96,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.894717,f 640-700,f 640-700,0.8907701,2.2 +4,4,13637,5,2,7,2,35,2.2,-0.26,59,Y,-0.41,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,614.736825,e 580-640,e 580-640,0.8907701,2.2 +7,6,13861,7,2,7,2,39,2.2,0.43,50,Y,0.18,P,7,P,94,1,3,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,677.894717,f 640-700,f 640-700,0.8907701,2.2 +5,5,13916,6,2,7,3,37,2.2,0.02,66,Y,-0.24,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,646.315771,f 640-700,f 640-700,0.8907701,2.2 +8,8,13982,8,2,7,1,45,2.2,0.86,63,Y,0.74,P,2,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.631555,g 700+,h 760-820,0.8907701,2.2 +4,3,14207,4,1,7,3,36.5,2.2,-0.27,57,Y,-0.82,P,7,P,94,2,4,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.4210345,e 580-640,e 580-640,0.8907701,2.2 +3,3,14280,3,2,7,2,35,2.2,-0.65,65,Y,-0.83,F,7,F,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,614.736825,e 580-640,e 580-640,0.8907701,2.2 +1,1,14439,1,1,3,3,25.5,2.2,-2.14,67,Y,-1.45,F,7,F,95,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,464.7368315,c 460-520,c 460-520,0.8907701,2.2 +2,1,14570,3,1,7,3,37,2.2,-0.8,60,Y,-1.42,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,646.315771,f 640-700,f 640-700,0.8907701,2.2 +,,14702,,2,7,,31,2.2,-0.14,51,Y,-1.82,F,2,P,96,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,,551.578933,d 520-580,d 520-580,0.8907701,2.2 +1,4,14793,2,2,7,3,22.7,2.2,-1.17,62,Y,-0.3,F,7,F,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,420.5263071,b 400-460,b 400-460,0.8907701,2.2 +2,2,14954,2,2,7,3,42,2.2,-1.03,63,Y,-0.95,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,725.263136,g 700+,g 700-760,0.8907701,2.2 +,,14961,,2,3,6,33,2.2,,69,Y,-1.34,P,7,P,95,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,583.157879,e 580-640,e 580-640,0.8907701,2.2 +5,4,15034,5,2,7,3,40,2.2,-0.16,54,Y,-0.4,P,2,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.68419,f 640-700,f 640-700,0.8907701,2.2 +6,4,15506,6,2,7,1,37,2.2,0.12,59,Y,-0.42,P,2,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,646.315771,f 640-700,f 640-700,0.8907701,2.2 +,,15580,5,2,7,4,38,2.2,-0.05,61,,,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,662.105244,f 640-700,f 640-700,0.8907701,2.2 +1,1,16022,1,1,7,1,30.5,2.2,-1.97,57,Y,-1.88,F,7,F,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,543.6841965,d 520-580,d 520-580,0.8907701,2.2 +7,6,16053,7,2,5,2,37,2.2,0.39,57,Y,-0.04,P,7,P,94,1,4,-50,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,646.315771,f 640-700,f 640-700,0.8907701,2.2 +9,6,16108,9,2,3,1,37,2.2,1,63,Y,0.11,P,2,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,646.315771,f 640-700,f 640-700,0.8907701,2.2 +9,10,16142,9,2,7,3,30,2.2,1.23,64,Y,1.45,P,7,P,94,1,,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,535.78946,d 520-580,d 520-580,0.8907701,2.2 +9,9,16498,9,2,7,6,26.7,2.2,1.24,59,Y,0.92,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,483.6841991,c 460-520,c 460-520,0.8907701,2.2 +8,8,16516,9,2,7,3,37,2.2,0.85,68,Y,0.57,P,7,P,95,2,2,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,646.315771,f 640-700,f 640-700,0.8907701,2.2 +1,1,17147,1,2,3,3,32,2.2,-1.74,62,Y,-2.05,F,7,P,96,1,4,-55,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,567.368406,d 520-580,d 520-580,0.8907701,2.2 +4,1,17222,4,1,7,3,41,2.2,-0.32,62,Y,-1.57,P,2,P,95,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,709.473663,g 700+,g 700-760,0.8907701,2.2 +6,3,17273,6,2,7,2,36,2.2,0.15,63,Y,-0.87,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,630.526298,e 580-640,e 580-640,0.8907701,2.2 +,,17609,1,2,3,3,20.5,2.2,-2.09,67,X,,P,7,P,95,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,385.7894665,a under 400,a under 400,0.8907701,2.2 +3,2,18163,4,1,3,6,36,2.2,-0.55,68,Y,-1.05,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,630.526298,e 580-640,e 580-640,0.8907701,2.2 +4,6,18205,4,1,6,3,35,2.2,-0.3,47,Y,0.13,P,2,P,94,1,3,-45,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.736825,e 580-640,e 580-640,0.8907701,2.2 +5,3,18422,6,2,3,1,31,2.2,0.05,64,Y,-0.76,P,2,P,95,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,551.578933,d 520-580,d 520-580,0.8907701,2.2 +8,8,19440,8,2,7,5,43,2.2,0.83,68,Y,0.62,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,741.052609,g 700+,g 700-760,0.8907701,2.2 +3,4,19482,4,2,7,3,31,2.2,-0.46,58,Y,-0.42,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,551.578933,d 520-580,d 520-580,0.8907701,2.2 +2,1,19752,3,1,3,6,22,2.2,-0.79,68,Y,-1.51,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,409.473676,b 400-460,b 400-460,0.8907701,2.2 +4,5,19971,5,1,3,6,34,2.2,-0.09,64,Y,-0.26,P,7,P,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,598.947352,e 580-640,e 580-640,0.8907701,2.2 +10,10,19974,10,1,3,6,39,2.2,1.72,65,Y,1.63,P,7,P,94,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,677.894717,f 640-700,f 640-700,0.8907701,2.2 +6,5,20395,6,2,4,3,31,2.2,0.14,68,Y,-0.23,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,551.578933,d 520-580,d 520-580,0.8907701,2.2 +,,20824,,2,7,5,44,2.2,,61,Y,,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,756.842082,g 700+,g 700-760,0.8907701,2.2 +1,1,20926,1,2,3,4,40,2.2,-1.65,57,Y,-2.15,F,2,F,96,1,1,-55,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,693.68419,f 640-700,f 640-700,0.8907701,2.2 +5,5,21129,5,2,7,3,35,2.2,-0.1,67,Y,-0.03,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.736825,e 580-640,e 580-640,0.8907701,2.2 +,,21215,7,2,7,1,34,2.2,0.55,62,Y,,P,2,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,598.947352,e 580-640,e 580-640,0.8907701,2.2 +8,7,21751,8,2,1,3,38,2.2,0.57,61,Y,0.49,P,7,P,94,1,4,-54,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,662.105244,f 640-700,f 640-700,0.8907701,2.2 +4,5,21756,4,1,7,3,33,2.2,-0.33,52,Y,-0.12,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,583.157879,e 580-640,e 580-640,0.8907701,2.2 +10,9,21950,10,2,2,3,39,2.2,1.82,69,Y,0.99,P,7,P,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,677.894717,f 640-700,f 640-700,0.8907701,2.2 +3,3,22041,4,2,3,6,36,2.2,-0.47,63,Y,-0.79,P,7,P,94,1,4,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,630.526298,e 580-640,e 580-640,0.8907701,2.2 +1,1,22215,1,2,3,1,37,2.2,-1.87,53,Y,-2.09,P,7,P,95,1,4,-46,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,646.315771,f 640-700,f 640-700,0.8907701,2.2 +,,22472,,2,7,6,27,2.2,,63,Y,,F,7,F,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,488.421041,c 460-520,c 460-520,0.8907701,2.2 +8,9,22674,8,2,7,3,39.5,2.2,0.65,58,Y,1.04,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.7894535,f 640-700,f 640-700,0.8907701,2.2 +2,1,22683,2,2,1,3,22.5,2.2,-0.91,64,Y,-1.31,F,7,F,94,1,2,-57,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,3,417.3684125,b 400-460,b 400-460,0.8907701,2.2 +5,6,22857,5,2,7,2,34,2.2,-0.12,55,Y,0.1,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,598.947352,e 580-640,e 580-640,0.8907701,2.2 +8,7,23001,8,2,7,3,33,2.2,0.68,62,Y,0.38,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,583.157879,e 580-640,e 580-640,0.8907701,2.2 +3,3,23357,4,2,3,1,31.5,2.2,-0.51,62,Y,-0.57,F,7,P,96,1,2,-55,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,559.4736695,d 520-580,d 520-580,0.8907701,2.2 +3,1,23894,3,1,7,2,35,2.2,-0.58,63,Y,-1.34,F,7,F,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,614.736825,e 580-640,e 580-640,0.8907701,2.2 +2,2,24082,3,2,7,3,45,2.2,-0.81,66,Y,-0.94,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.631555,g 700+,h 760-820,0.8907701,2.2 +6,7,24515,6,2,7,2,29.5,2.2,0.1,62,Y,0.21,P,2,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,527.8947235,d 520-580,d 520-580,0.8907701,2.2 +1,4,24557,1,2,7,4,37,2.2,-1.95,56,Y,-0.48,P,7,P,94,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,646.315771,f 640-700,f 640-700,0.8907701,2.2 +9,8,24820,9,2,7,3,39,2.2,1.18,68,Y,0.65,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.894717,f 640-700,f 640-700,0.8907701,2.2 +4,4,24886,4,1,3,6,28.5,2.2,-0.31,63,Y,-0.45,F,2,F,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,512.1052505,c 460-520,c 460-520,0.8907701,2.2 +10,10,25134,10,1,7,4,43,2.2,1.62,69,Y,1.71,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,741.052609,g 700+,g 700-760,0.8907701,2.2 +8,7,25157,8,2,6,3,39,2.2,0.58,66,Y,0.41,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,677.894717,f 640-700,f 640-700,0.8907701,2.2 +1,1,25304,1,2,7,3,27,2.2,-1.81,66,Y,-1.68,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,488.421041,c 460-520,c 460-520,0.8907701,2.2 +8,1,25487,8,2,7,3,35,2.2,0.63,69,Y,-1.84,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.736825,e 580-640,e 580-640,0.8907701,2.2 +3,4,25561,4,2,7,2,46,2.2,-0.45,66,Y,-0.49,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,788.421028,g 700+,h 760-820,0.8907701,2.2 +6,9,25635,6,2,7,2,34,2.2,0.16,68,Y,0.94,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,598.947352,e 580-640,e 580-640,0.8907701,2.2 +3,2,25719,4,1,7,6,30,2.2,-0.43,62,Y,-0.91,P,2,P,94,1,1,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,535.78946,d 520-580,d 520-580,0.8907701,2.2 +7,7,25733,8,2,4,6,27.7,2.2,0.56,66,Y,0.32,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,499.4736721,c 460-520,c 460-520,0.8907701,2.2 +6,4,25750,6,1,3,6,20.7,2.2,0.25,65,Y,-0.4,F,7,P,95,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,388.9473611,a under 400,a under 400,0.8907701,2.2 +,,26191,,2,7,,31,2.2,0.5,67,Y,-0.25,P,2,P,94,2,1,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,551.578933,d 520-580,d 520-580,0.8907701,2.2 +9,10,26268,9,2,7,1,40,2.2,1.04,61,Y,1.41,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.68419,f 640-700,f 640-700,0.8907701,2.2 +2,1,26438,2,2,3,1,36,2.2,-1.06,63,Y,-1.85,F,7,F,94,1,1,-56,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,630.526298,e 580-640,e 580-640,0.8907701,2.2 +3,2,26549,3,1,7,3,28,2.2,-0.66,65,Y,-0.89,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,504.210514,c 460-520,c 460-520,0.8907701,2.2 +1,1,26639,1,1,3,4,36,2.2,-1.57,64,Y,-1.61,P,7,P,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,630.526298,e 580-640,e 580-640,0.8907701,2.2 +7,9,26913,7,2,7,3,35,2.2,0.36,57,Y,1,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.736825,e 580-640,e 580-640,0.8907701,2.2 +6,1,26977,6,2,3,6,31,2.2,0.21,69,Y,-1.54,F,7,F,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,551.578933,d 520-580,d 520-580,0.8907701,2.2 +3,1,27125,4,1,3,6,20.3,2.2,-0.4,67,Y,-1.91,F,7,F,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,382.6315719,a under 400,a under 400,0.8907701,2.2 +3,4,27157,3,2,7,3,33.5,2.2,-0.68,64,Y,-0.38,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.0526155,e 580-640,e 580-640,0.8907701,2.2 +1,1,27290,1,2,3,1,21,2.2,-1.72,67,Y,-1.74,F,2,F,95,1,2,-65,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,393.684203,a under 400,a under 400,0.8907701,2.2 +8,2,27407,8,2,2,3,36,2.2,0.81,59,Y,-0.95,F,7,P,95,1,2,-52,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,630.526298,e 580-640,e 580-640,0.8907701,2.2 +2,3,13,2,2,7,2,35,3.2,-0.92,64,Y,-0.72,F,2,F,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,3,23,3,1,7,4,32.5,3.2,-0.76,69,Y,-0.56,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +8,8,70,8,2,7,1,40,3.2,0.82,68,Y,0.72,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,5,79,5,2,7,5,41,3.2,-0.16,66,Y,-0.19,F,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,8,82,6,1,7,3,34,3.2,0.16,69,Y,0.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,1,116,2,1,7,1,38,3.2,-0.98,69,Y,-1.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,3,122,3,1,7,1,37,3.2,-0.65,68,Y,-0.59,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,8,134,7,1,7,4,41.5,3.2,0.43,65,Y,0.73,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.3683995,g 700+,h 760-820,0.9965257,3.2 +4,4,140,5,1,7,1,40,3.2,-0.18,69,Y,-0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,8,151,6,2,7,3,41,3.2,-0.02,69,Y,0.65,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,7,154,7,1,7,6,24,3.2,0.41,51,Y,0.32,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,541.052622,d 520-580,d 520-580,0.9965257,3.2 +3,4,192,3,2,7,3,45,3.2,-0.54,69,Y,-0.53,P,2,P,94,1,,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +3,4,207,4,2,7,2,34,3.2,-0.54,68,Y,-0.44,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,2,220,3,2,4,5,48,3.2,-0.84,68,Y,-1.09,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,919.999974,g 700+,i 820+,0.9965257,3.2 +4,6,249,5,2,7,3,33,3.2,-0.21,68,Y,0.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,7,273,6,1,7,1,41,3.2,0.19,69,Y,0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +8,9,277,8,1,7,3,42,3.2,0.82,63,Y,1.09,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +2,3,279,2,2,7,1,35.5,3.2,-1.06,67,Y,-0.7,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.6315615,g 700+,g 700-760,0.9965257,3.2 +2,5,308,2,1,7,4,33.5,3.2,-0.83,68,Y,-0.17,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +6,6,309,6,2,7,3,42,3.2,0.08,69,Y,0.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +7,8,310,8,2,7,3,30,3.2,0.54,69,Y,0.74,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +9,9,311,9,2,7,2,35,3.2,1.21,68,Y,1.07,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,6,343,6,2,7,1,36,3.2,0.17,69,Y,0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,6,356,5,2,7,3,42,3.2,-0.1,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +3,4,366,3,2,7,3,35,3.2,-0.69,69,Y,-0.49,F,7,F,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,2,400,2,1,7,1,30,3.2,-1.03,53,Y,-0.99,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +10,10,404,10,1,7,3,38,3.2,1.49,56,Y,1.7,P,7,P,95,2,2,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,7,421,8,2,7,3,34,3.2,0.75,67,Y,0.47,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,6,435,7,2,7,4,35,3.2,0.35,67,Y,0.26,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,448,10,1,7,3,48,3.2,1.55,63,Y,1.67,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,919.999974,g 700+,i 820+,0.9965257,3.2 +8,8,477,8,2,7,1,38,3.2,0.66,68,Y,0.59,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,1,479,1,1,7,3,32,3.2,-1.48,69,Y,-1.65,F,7,P,96,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,2,484,1,1,7,1,30,3.2,-1.38,68,Y,-1.32,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +4,4,500,5,2,7,4,36,3.2,-0.21,69,Y,-0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,5,506,2,1,7,3,34,3.2,-0.92,68,Y,-0.26,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +5,3,508,6,2,7,1,39,3.2,0.08,69,Y,-0.59,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,6,509,6,1,7,1,39,3.2,0.27,69,Y,0.28,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,4,523,4,1,2,5,37,3.2,-0.47,68,Y,-0.3,P,7,P,94,1,5,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +10,10,553,10,2,7,3,40.5,3.2,2.09,68,Y,2.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,801.5789265,g 700+,h 760-820,0.9965257,3.2 +9,9,554,9,1,7,1,48,3.2,1.06,54,Y,0.99,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,919.999974,g 700+,i 820+,0.9965257,3.2 +3,3,577,3,1,7,3,36,3.2,-0.67,69,Y,-0.82,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,1,587,2,2,7,3,36,3.2,-0.92,66,Y,-1.45,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,5,588,6,2,7,3,35,3.2,0.15,63,Y,-0.25,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,2,607,3,2,7,3,25,3.2,-0.68,69,Y,-1.24,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,556.842095,d 520-580,d 520-580,0.9965257,3.2 +2,4,611,2,1,7,1,37,3.2,-0.93,68,Y,-0.42,F,7,F,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,5,614,4,1,7,4,35,3.2,-0.48,67,Y,-0.17,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,620,,1,7,6,26.5,3.2,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,580.5263045,e 580-640,e 580-640,0.9965257,3.2 +6,8,622,7,2,7,1,36,3.2,0.32,69,Y,0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,7,627,7,1,7,2,34,3.2,0.33,69,Y,0.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +5,5,631,6,2,7,3,30,3.2,0.02,66,Y,-0.17,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +,,643,1,1,7,4,36,3.2,-1.37,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,3,653,3,2,7,3,32.5,3.2,-0.7,69,Y,-0.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +1,1,654,1,2,3,1,21,3.2,-1.42,64,Y,-1.51,F,7,P,96,2,2,-57,male,1,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,493.684203,c 460-520,c 460-520,0.9965257,3.2 +4,4,658,4,1,7,1,32,3.2,-0.41,52,Y,-0.39,P,7,P,95,2,3,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,8,663,7,2,7,1,42,3.2,0.58,66,Y,0.74,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +1,1,685,1,2,4,3,37,3.2,-1.56,66,Y,-1.69,F,7,P,96,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,7,705,6,1,2,4,39,3.2,0.21,69,Y,0.38,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,6,717,6,1,7,3,31,3.2,0.09,53,Y,0.24,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +8,9,739,8,1,7,3,33,3.2,0.68,50,Y,1.13,P,7,P,95,1,5,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,740,,1,7,3,32,3.2,,53,Y,-0.63,F,2,P,95,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,10,770,9,2,7,2,33,3.2,0.98,69,Y,1.48,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,1,806,3,1,7,1,35,3.2,-0.82,69,Y,-1.71,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,4,815,3,1,3,3,19,3.2,-0.7,64,Y,-0.45,F,2,F,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,462.105257,c 460-520,c 460-520,0.9965257,3.2 +6,7,816,7,1,7,3,33.5,3.2,0.29,66,Y,0.39,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +9,9,820,9,2,7,3,44,3.2,1.19,64,Y,0.91,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +,,826,,1,7,3,37,3.2,,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,7,830,6,1,7,5,41,3.2,0.13,66,Y,0.46,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,5,835,7,2,7,3,40,3.2,0.26,48,Y,-0.06,P,7,P,93,1,4,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,3,844,4,1,7,3,39,3.2,-0.52,69,Y,-0.77,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,2,875,4,2,7,3,34,3.2,-0.41,65,Y,-0.98,F,7,F,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +4,7,877,4,1,7,4,34,3.2,-0.33,67,Y,0.26,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,2,881,3,1,6,3,31,3.2,-0.82,69,Y,-1.07,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,4,883,2,2,7,1,41,3.2,-0.84,68,Y,-0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,5,887,5,1,7,4,41,3.2,-0.18,69,Y,-0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,7,902,7,1,7,4,42,3.2,0.33,68,Y,0.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +7,8,910,7,2,7,2,34.5,3.2,0.33,66,Y,0.55,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,706.8420885,g 700+,g 700-760,0.9965257,3.2 +4,3,912,5,2,7,3,34,3.2,-0.2,69,Y,-0.88,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,2,916,2,1,7,5,47,3.2,-1.15,69,Y,-1.15,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,904.210501,g 700+,i 820+,0.9965257,3.2 +6,3,961,6,1,7,3,40,3.2,0.08,64,Y,-0.57,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,4,970,5,2,7,4,36,3.2,-0.01,64,Y,-0.34,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,6,974,7,1,7,3,34,3.2,0.3,52,Y,-0.01,P,7,P,94,2,3,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,2,976,3,2,7,1,40,3.2,-0.78,68,Y,-1.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,6,978,4,1,7,4,44,3.2,-0.28,68,Y,0.25,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +10,10,979,10,2,7,3,48,3.2,2.06,65,Y,1.8,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,919.999974,g 700+,i 820+,0.9965257,3.2 +3,2,1020,4,1,7,6,33,3.2,-0.44,69,Y,-0.9,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,8,1024,7,2,7,3,28,3.2,0.51,68,Y,0.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +9,8,1032,10,1,7,3,30,3.2,1.27,68,Y,0.67,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +1,3,1033,1,1,7,3,35.5,3.2,-1.52,68,Y,-0.78,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.6315615,g 700+,g 700-760,0.9965257,3.2 +2,3,1057,2,2,7,1,33,3.2,-0.93,68,Y,-0.62,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,6,1106,7,2,7,1,42,3.2,0.37,69,Y,0.27,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +4,4,1118,4,1,7,3,28.5,3.2,-0.34,68,Y,-0.48,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,612.1052505,e 580-640,e 580-640,0.9965257,3.2 +8,5,1141,8,2,7,4,35,3.2,0.57,68,Y,-0.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,2,1142,5,2,7,2,40,3.2,-0.06,67,Y,-1.09,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,1,1167,1,1,3,5,26,3.2,-2.22,68,Y,-2.14,F,7,F,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,6,572.631568,d 520-580,d 520-580,0.9965257,3.2 +3,3,1168,3,1,7,1,34,3.2,-0.55,69,Y,-0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +1,4,1174,1,2,7,3,36,3.2,-1.56,63,Y,-0.29,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,6,1181,8,1,7,2,30.5,3.2,0.8,69,Y,0.11,F,7,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +1,1,1205,1,2,7,1,33.5,3.2,-1.4,69,Y,-1.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +2,4,1221,3,1,7,3,36,3.2,-0.78,50,Y,-0.54,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,10,1222,10,1,7,3,36,3.2,2,57,Y,2.31,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,5,1231,6,1,7,3,37,3.2,-0.02,69,Y,-0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,1237,,2,7,5,41,3.2,,67,X,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,1,1242,2,1,7,2,30,3.2,-1.13,55,Y,-1.27,F,7,F,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +7,6,1262,7,2,8,1,43,3.2,0.49,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +6,6,1272,6,1,7,5,46,3.2,0.19,67,Y,0.23,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,888.421028,g 700+,i 820+,0.9965257,3.2 +4,6,1277,5,1,7,4,44,3.2,-0.23,66,Y,0.07,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +8,6,1295,8,2,7,3,33,3.2,0.6,52,Y,0.17,P,7,P,95,2,2,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +9,9,1319,9,2,7,3,39,3.2,1.19,68,Y,1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,1,1356,1,2,7,3,32,3.2,-1.55,54,Y,-1.51,F,7,P,95,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,3,1379,3,1,7,1,40,3.2,-0.77,68,Y,-0.64,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,6,1383,10,2,7,3,32,3.2,1.46,68,Y,0.15,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,2,1437,2,2,2,3,32,3.2,-0.91,66,Y,-1.16,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +3,2,1453,3,2,7,3,29,3.2,-0.52,69,Y,-1.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +,,1463,,2,7,3,37,3.2,,62,Y,,P,7,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,1475,1,1,7,4,32.3,3.2,-1.51,67,Y,-1.51,F,2,F,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,672.1052479,f 640-700,f 640-700,0.9965257,3.2 +5,7,1488,6,1,7,3,39.5,3.2,0.05,68,Y,0.3,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.7894535,g 700+,h 760-820,0.9965257,3.2 +9,9,1499,9,2,7,3,35,3.2,1.23,66,Y,1.15,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,2,1524,3,2,7,3,29.5,3.2,-0.73,67,Y,-1.11,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.8947235,e 580-640,e 580-640,0.9965257,3.2 +6,8,1528,6,2,7,3,39,3.2,0.25,66,Y,0.58,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,6,1530,6,1,7,1,33.5,3.2,0.16,69,Y,0.11,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +5,4,1531,5,1,7,2,33.5,3.2,-0.19,68,Y,-0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +3,6,1536,3,2,7,3,31,3.2,-0.63,51,Y,0.06,P,7,P,95,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,7,1558,6,2,7,1,42,3.2,0.06,68,Y,0.32,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +8,8,1567,8,2,7,5,45,3.2,0.85,69,Y,0.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,872.631555,g 700+,i 820+,0.9965257,3.2 +6,2,1588,6,1,3,3,29,3.2,0.19,62,Y,-0.94,P,2,P,95,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +1,2,1603,2,1,7,1,37,3.2,-1.21,69,Y,-1.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,1605,9,1,7,2,35,3.2,1.02,61,X,,P,7,P,94,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,4,1635,2,2,7,1,39,3.2,-0.84,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,1,1644,3,1,3,6,18,3.2,-0.58,67,Y,-1.38,F,2,F,95,1,3,-65,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,446.315784,b 400-460,b 400-460,0.9965257,3.2 +1,1,1675,1,1,8,3,33,3.2,-1.61,69,Y,-1.65,P,2,P,95,1,4,-67,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,1,1693,3,2,2,3,28,3.2,-0.55,67,Y,-1.37,F,7,P,95,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +6,4,1702,7,2,7,2,34.5,3.2,0.22,66,Y,-0.49,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,706.8420885,g 700+,g 700-760,0.9965257,3.2 +5,7,1714,6,2,7,1,34,3.2,0.04,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,5,1727,2,2,7,3,34,3.2,-1.05,62,Y,-0.25,P,6,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +5,6,1730,5,1,7,1,35,3.2,0.04,57,Y,0.05,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,6,1731,6,1,7,3,30,3.2,0.24,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +3,1,1751,4,1,3,3,28,3.2,-0.52,68,Y,-1.43,F,7,P,95,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +5,8,1760,5,2,7,2,36,3.2,-0.13,69,Y,0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,6,1763,6,2,7,3,39,3.2,0.01,68,Y,0.04,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,8,1774,9,2,7,3,33,3.2,1.1,69,Y,0.76,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +10,10,1807,10,1,7,3,35,3.2,2.08,67,Y,2.03,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,7,1827,7,2,7,1,45,3.2,0.43,67,Y,0.47,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +3,2,1838,3,1,7,3,39,3.2,-0.58,69,Y,-0.91,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,5,1855,7,2,7,2,28.7,3.2,0.36,66,Y,-0.18,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,615.2631451,e 580-640,e 580-640,0.9965257,3.2 +7,6,1860,7,2,7,3,35,3.2,0.46,69,Y,0.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,8,1861,7,1,7,3,36,3.2,0.51,49,Y,0.66,P,7,P,95,2,2,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,8,1864,8,2,7,1,34,3.2,0.77,67,Y,0.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,3,1871,8,2,7,2,26,3.2,0.53,59,Y,-0.76,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,572.631568,d 520-580,d 520-580,0.9965257,3.2 +6,6,1914,6,1,3,4,32,3.2,0.11,66,Y,0.18,P,2,P,95,1,3,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,2,1917,1,2,7,4,36,3.2,-1.56,65,Y,-1.27,F,7,F,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,5,1932,6,1,7,4,36,3.2,0.25,69,Y,-0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,3,1942,3,1,4,5,35,3.2,-0.66,66,Y,-0.75,P,7,P,94,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,6,1967,7,1,7,1,39.5,3.2,0.5,68,Y,0.08,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.7894535,g 700+,h 760-820,0.9965257,3.2 +4,5,1973,4,1,2,1,40,3.2,-0.4,69,Y,-0.04,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,4,2037,3,1,7,2,27,3.2,-0.7,66,Y,-0.37,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,588.421041,e 580-640,e 580-640,0.9965257,3.2 +5,4,2044,6,1,7,3,35,3.2,0,68,Y,-0.55,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,7,2048,8,1,7,1,33,3.2,0.7,69,Y,0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,2,2054,1,1,7,4,39,3.2,-1.3,66,Y,-1.14,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,8,2060,6,2,7,1,37,3.2,0.18,66,Y,0.82,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,2086,1,2,7,1,38,3.2,-1.55,65,Y,-2.22,F,7,F,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,9,2108,9,2,7,1,39,3.2,1.1,65,Y,1.11,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,5,2111,8,2,7,3,32,3.2,0.54,67,Y,-0.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,6,2113,10,2,7,5,34,3.2,1.97,69,Y,0.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,698.947352,f 640-700,f 640-700,0.9965257,3.2 +1,2,2127,2,1,7,3,33,3.2,-1.25,68,Y,-1.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,9,2133,7,2,2,1,46,3.2,0.42,66,Y,0.93,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +4,5,2153,4,1,7,1,46,3.2,-0.4,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +3,5,2198,4,2,7,3,36,3.2,-0.47,69,Y,-0.27,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,9,2201,7,1,7,3,40,3.2,0.43,67,Y,1.16,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,2,2206,2,2,7,2,31,3.2,-1.04,67,Y,-1.08,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,5,2208,6,2,7,1,43,3.2,0.26,69,Y,-0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +2,1,2209,3,2,7,2,30,3.2,-0.87,66,Y,-1.33,F,7,F,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +6,4,2225,6,2,7,4,40,3.2,0.09,69,Y,-0.41,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,4,2232,3,1,7,1,39,3.2,-0.71,63,Y,-0.35,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,7,2242,6,2,4,3,37,3.2,0.04,47,Y,0.32,P,7,P,95,2,2,-40,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,2,2255,3,1,7,4,36,3.2,-0.72,69,Y,-1.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,3,2266,3,2,7,3,30,3.2,-0.8,51,Y,-0.7,P,2,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +8,1,2268,8,1,7,3,28.5,3.2,0.57,69,Y,-1.62,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,612.1052505,e 580-640,e 580-640,0.9965257,3.2 +5,3,2272,6,2,7,1,37,3.2,0.08,69,Y,-0.63,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,2281,1,1,6,4,35,3.2,-2.2,69,Y,-1.62,F,7,P,96,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,9,2306,7,1,7,3,35.5,3.2,0.32,68,Y,0.94,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.6315615,g 700+,g 700-760,0.9965257,3.2 +10,10,2310,10,1,7,2,37,3.2,1.36,69,Y,1.59,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,2,2323,4,2,7,4,40,3.2,-0.3,66,Y,-0.89,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,7,2352,6,1,7,4,38,3.2,0.06,67,Y,0.26,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,10,2367,10,2,7,3,35,3.2,1.7,66,Y,1.63,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,2400,10,2,7,3,34.3,3.2,1.42,68,Y,1.34,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.6841939,g 700+,g 700-760,0.9965257,3.2 +7,4,2402,7,2,7,3,28,3.2,0.36,68,Y,-0.34,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +2,2,2463,3,1,7,1,41,3.2,-0.74,68,Y,-0.96,F,2,F,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +10,10,2487,10,2,7,5,47,3.2,2.07,63,Y,2.87,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,904.210501,g 700+,i 820+,0.9965257,3.2 +,,2503,,2,7,1,41,3.2,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,7,2506,6,2,8,3,39,3.2,0.17,69,Y,0.43,P,7,P,94,1,3,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,2513,2,2,7,2,35,3.2,-0.9,69,Y,-0.97,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,2,2517,3,2,7,3,38,3.2,-0.72,64,Y,-0.89,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,7,2518,5,2,7,1,40,3.2,-0.2,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,8,2523,8,2,7,4,40,3.2,0.74,68,Y,0.59,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,8,2532,9,1,7,2,36,3.2,0.96,68,Y,0.77,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +,,2533,,2,7,5,35,3.2,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,1,2546,9,1,7,4,41,3.2,1.11,68,Y,-2.63,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +10,10,2554,10,1,7,3,38,3.2,1.6,50,Y,1.52,P,7,P,95,2,4,-43,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,1,2559,2,1,3,2,14.5,3.2,-1.22,67,Y,-1.27,F,7,F,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,391.0526285,a under 400,a under 400,0.9965257,3.2 +1,1,2578,1,2,7,5,38,3.2,-1.24,69,Y,-1.73,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,5,2588,5,2,7,2,30,3.2,-0.14,68,Y,-0.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +4,2,2604,4,1,7,3,39,3.2,-0.28,69,Y,-1.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,5,2623,5,2,7,3,44,3.2,-0.11,69,Y,-0.27,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +1,2,2658,1,2,7,5,45,3.2,-1.66,69,Y,-1.05,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,872.631555,g 700+,i 820+,0.9965257,3.2 +5,5,2695,5,2,7,4,37,3.2,-0.08,64,Y,-0.06,P,2,P,96,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,4,2696,6,1,7,3,35,3.2,0.19,56,Y,-0.46,F,7,P,96,2,4,-49,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,2697,3,1,3,5,44,3.2,-0.7,65,Y,,P,7,P,94,1,1,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +8,8,2698,8,2,7,3,37,3.2,0.58,68,Y,0.83,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,6,2716,6,2,7,3,36,3.2,0.2,69,Y,0.17,P,2,P,95,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,6,2744,7,2,7,1,31,3.2,0.3,63,Y,0.15,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,4,2746,2,2,7,3,37,3.2,-1.08,69,Y,-0.52,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,2796,,1,7,5,40,3.2,,63,Y,,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,9,2797,10,2,7,4,37.5,3.2,1.62,68,Y,0.97,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.2105075,g 700+,g 700-760,0.9965257,3.2 +2,1,2805,2,2,7,5,44,3.2,-1.08,63,Y,-1.33,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +5,7,2823,5,2,7,3,39,3.2,-0.15,69,Y,0.33,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,7,2839,9,2,7,3,40.5,3.2,1.13,66,Y,0.54,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,801.5789265,g 700+,h 760-820,0.9965257,3.2 +7,7,2848,7,1,7,3,40,3.2,0.44,68,Y,0.54,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,9,2850,10,2,7,1,43,3.2,1.32,61,Y,1.25,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +10,9,2859,10,1,7,3,45,3.2,1.51,69,Y,1.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +3,4,2869,3,1,3,3,23,3.2,-0.56,69,Y,-0.54,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,525.263149,d 520-580,d 520-580,0.9965257,3.2 +4,6,2888,4,2,7,3,37,3.2,-0.27,67,Y,-0.02,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,9,2890,8,2,7,3,36,3.2,0.74,66,Y,1.16,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,7,2917,5,2,7,4,45,3.2,-0.18,57,Y,0.37,P,7,P,94,1,5,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,872.631555,g 700+,i 820+,0.9965257,3.2 +,,2943,3,2,7,1,42,3.2,-0.52,68,Y,,F,1,F,96,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +9,9,2971,9,1,7,3,39,3.2,1.19,67,Y,1.06,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,7,2980,6,1,7,1,33,3.2,0.28,69,Y,0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,2,3014,4,2,7,1,33,3.2,-0.28,69,Y,-1.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,1,3018,3,2,7,3,36,3.2,-0.77,69,Y,-1.44,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,9,3027,10,2,7,4,40,3.2,1.4,68,Y,1.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,5,3037,6,2,7,3,36,3.2,0.2,69,Y,-0.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,5,3061,6,2,7,1,37,3.2,0.16,69,Y,-0.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,7,3073,9,2,7,3,40,3.2,0.89,62,Y,0.39,P,2,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,3,3085,5,2,7,3,31,3.2,-0.2,60,Y,-0.63,F,2,F,96,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,5,3102,6,2,7,3,39,3.2,0.01,69,Y,-0.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,2,3118,4,2,2,3,37,3.2,-0.39,68,Y,-1.03,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,4,3124,8,2,7,2,34,3.2,0.6,65,Y,-0.35,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,3132,10,2,7,4,47,3.2,1.92,62,Y,1.68,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,904.210501,g 700+,i 820+,0.9965257,3.2 +5,4,3157,5,1,7,3,31,3.2,-0.03,65,Y,-0.35,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +3,4,3168,4,1,7,6,27,3.2,-0.37,49,Y,-0.42,F,7,P,95,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,588.421041,e 580-640,e 580-640,0.9965257,3.2 +7,6,3169,7,2,7,1,36,3.2,0.48,69,Y,0.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,4,3175,3,2,7,3,36,3.2,-0.71,60,Y,-0.36,P,2,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,8,3189,9,2,7,3,31,3.2,0.9,68,Y,0.75,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,4,3206,5,2,2,4,38,3.2,0,60,Y,-0.36,F,2,P,96,2,3,-58,male,1,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,9,3261,9,1,7,3,44,3.2,1.16,69,Y,0.9,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +10,10,3262,10,1,7,4,43,3.2,2.21,67,Y,1.62,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +9,10,3263,9,1,7,3,34,3.2,1.22,68,Y,1.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +1,1,3276,1,1,3,1,30.5,3.2,-1.92,69,Y,-1.36,F,7,F,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +8,8,3285,8,2,7,4,42,3.2,0.82,68,Y,0.77,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +4,7,3296,5,2,7,3,37,3.2,-0.23,65,Y,0.49,P,2,P,95,1,,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,3309,,1,7,5,39,3.2,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,3,3352,2,2,7,4,36,3.2,-0.97,69,Y,-0.56,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,4,3356,5,2,7,3,39,3.2,-0.13,69,Y,-0.42,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,3,3378,10,2,7,5,35,3.2,1.97,69,Y,-0.75,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,5,3412,5,2,7,3,36,3.2,-0.18,67,Y,-0.11,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,5,3425,3,2,7,1,39,3.2,-0.51,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,3431,2,1,7,3,32,3.2,-1.07,64,Y,-1.16,P,2,P,95,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,1,3434,3,1,7,2,31,3.2,-0.73,67,Y,-1.46,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +,,3454,,2,7,5,37.5,3.2,,64,Y,,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,754.2105075,g 700+,g 700-760,0.9965257,3.2 +7,5,3480,7,2,7,4,36,3.2,0.28,67,Y,-0.11,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,9,3487,9,2,7,1,36,3.2,1.08,69,Y,1.04,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,7,3506,8,1,7,1,37,3.2,0.58,69,Y,0.41,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,3509,1,2,6,3,26,3.2,-1.86,68,Y,-2.23,P,2,P,95,1,4,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,572.631568,d 520-580,d 520-580,0.9965257,3.2 +6,4,3526,6,2,2,1,33.5,3.2,0.14,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +1,2,3535,1,2,7,1,47,3.2,-1.38,69,Y,-1.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +5,2,3543,5,1,7,4,34,3.2,-0.16,48,Y,-1.22,F,7,P,95,2,2,-41,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,9,3552,9,2,7,4,48,3.2,1.07,69,Y,1.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,919.999974,g 700+,i 820+,0.9965257,3.2 +8,3,3559,8,2,6,1,29,3.2,0.7,69,Y,-0.79,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,619.999987,e 580-640,e 580-640,0.9965257,3.2 +8,7,3560,8,1,3,6,35,3.2,0.78,68,Y,0.47,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,3630,10,1,7,1,40,3.2,1.71,54,Y,2.21,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,5,3677,5,2,7,5,40,3.2,-0.19,64,Y,-0.18,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,6,3678,6,1,7,1,37,3.2,0.15,69,Y,0.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,4,3698,6,1,7,3,31.5,3.2,0.04,68,Y,-0.41,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +7,9,3700,7,2,7,3,39,3.2,0.49,67,Y,0.87,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,6,3713,4,1,3,1,22.7,3.2,-0.35,68,Y,0.2,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,520.5263071,d 520-580,d 520-580,0.9965257,3.2 +5,8,3716,5,2,7,4,46,3.2,-0.12,66,Y,0.68,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,888.421028,g 700+,i 820+,0.9965257,3.2 +7,5,3741,7,2,7,3,38,3.2,0.45,69,Y,-0.2,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,4,3747,6,1,7,3,37,3.2,0.11,69,Y,-0.44,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,4,3774,4,2,7,3,36.5,3.2,-0.41,64,Y,-0.39,P,2,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.4210345,g 700+,g 700-760,0.9965257,3.2 +2,2,3782,2,1,3,3,26.5,3.2,-0.95,68,Y,-0.99,F,2,P,95,1,3,-66,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,580.5263045,e 580-640,e 580-640,0.9965257,3.2 +,,3807,,1,8,5,33,3.2,,69,Y,,F,7,P,95,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,6,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,4,3809,3,2,2,1,37,3.2,-0.64,62,Y,-0.53,P,7,P,94,1,3,-55,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,8,3833,6,1,7,1,34,3.2,0.26,60,Y,0.76,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,7,3840,8,2,7,1,37,3.2,0.7,69,Y,0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,5,3847,4,2,7,3,41,3.2,-0.48,68,Y,-0.03,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,6,3855,3,2,7,3,33,3.2,-0.6,65,Y,0.14,F,2,F,96,2,4,-63,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +8,9,3859,8,1,7,4,31,3.2,0.78,69,Y,1.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,651.578933,f 640-700,f 640-700,0.9965257,3.2 +1,3,3890,2,1,7,3,32,3.2,-1.16,53,Y,-0.77,P,2,P,95,2,4,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,3,3898,2,1,8,3,29,3.2,-1.21,68,Y,-0.73,P,7,P,94,1,4,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +4,5,3900,4,1,7,3,32.5,3.2,-0.29,68,Y,-0.25,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +9,7,3908,9,2,5,3,33,3.2,1.25,69,Y,0.36,F,7,F,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,6,3943,7,1,7,3,33,3.2,0.46,69,Y,0,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +8,8,3945,9,2,7,2,32,3.2,0.83,66,Y,0.77,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,6,3947,7,2,7,3,37,3.2,0.32,68,Y,0.19,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,3,3982,4,2,7,1,32,3.2,-0.26,68,Y,-0.55,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,9,4025,10,2,7,1,40,3.2,2.23,66,Y,0.88,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,5,4049,8,1,3,4,37,3.2,0.64,59,Y,-0.22,P,7,P,94,1,3,-52,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,9,4055,7,2,7,4,47,3.2,0.45,65,Y,1.07,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,904.210501,g 700+,i 820+,0.9965257,3.2 +4,4,4056,5,1,7,4,36,3.2,-0.23,64,Y,-0.51,F,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,1,4057,2,2,7,2,36,3.2,-0.96,69,Y,-1.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,2,4068,2,2,7,2,39,3.2,-1.19,69,Y,-1.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,9,4071,9,1,6,5,40,3.2,0.99,70,Y,0.93,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,4079,10,2,7,4,35,3.2,1.37,68,Y,1.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,7,4081,5,1,7,3,34,3.2,-0.18,59,Y,0.33,P,7,P,95,2,4,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +6,7,4100,6,1,7,3,37,3.2,0.15,68,Y,0.5,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,3,4105,4,2,7,3,32.5,3.2,-0.33,68,Y,-0.85,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +1,1,4110,1,2,7,2,26.7,3.2,-1.83,67,Y,-1.88,F,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,583.6841991,e 580-640,e 580-640,0.9965257,3.2 +5,5,4116,6,2,7,4,42,3.2,0.04,69,Y,-0.12,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +2,1,4152,3,2,7,1,33,3.2,-0.73,69,Y,-1.51,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,4156,,1,3,5,46,3.2,,68,Y,0,P,7,P,94,1,,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,888.421028,g 700+,i 820+,0.9965257,3.2 +1,3,4162,1,1,7,3,31,3.2,-1.56,66,Y,-0.74,F,7,F,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +9,9,4215,9,1,7,3,43,3.2,1.05,67,Y,1.07,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +6,6,4228,6,2,7,1,37,3.2,0.11,68,Y,0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,8,4235,4,1,7,3,32,3.2,-0.47,69,Y,0.57,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,5,4242,7,2,7,5,39,3.2,0.39,64,Y,-0.04,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,2,4268,2,1,3,1,30,3.2,-1.23,58,Y,-1.16,P,7,P,94,1,2,-51,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +6,8,4271,6,2,7,1,39,3.2,0.12,68,Y,0.7,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,4274,2,1,8,4,34,3.2,-1.09,63,Y,-0.96,F,7,F,95,1,4,-56,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,6,4296,7,1,7,1,40,3.2,0.56,68,Y,0.16,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,4319,10,2,8,5,38,3.2,1.6,68,Y,1.34,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +2,2,4324,2,2,2,1,36,3.2,-0.91,69,Y,-1.04,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,4,4325,4,2,2,3,30,3.2,-0.36,66,Y,-0.46,P,7,P,94,1,2,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +7,5,4336,8,2,7,1,45,3.2,0.58,69,Y,-0.08,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +8,7,4365,8,1,7,3,33,3.2,0.8,70,Y,0.38,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +9,10,4374,9,1,7,2,37,3.2,1.11,56,Y,1.56,F,7,P,95,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,4,4392,5,2,7,4,41,3.2,-0.24,65,Y,-0.25,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,1,4401,2,1,7,1,40,3.2,-1.23,64,Y,-1.37,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,4419,10,1,7,3,38,3.2,1.92,61,Y,1.98,P,7,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,7,4420,6,2,7,1,44,3.2,0.24,66,Y,0.31,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +2,5,4434,3,2,4,1,41,3.2,-0.76,68,Y,-0.19,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +2,2,4437,2,1,7,2,31,3.2,-0.94,69,Y,-1.13,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +3,1,4465,3,2,4,1,27,3.2,-0.69,65,Y,-1.82,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,588.421041,e 580-640,e 580-640,0.9965257,3.2 +5,6,4501,6,1,7,3,39.5,3.2,0.03,68,Y,0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.7894535,g 700+,h 760-820,0.9965257,3.2 +5,3,4508,5,2,7,3,36.5,3.2,-0.05,66,Y,-0.58,P,2,P,94,1,,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.4210345,g 700+,g 700-760,0.9965257,3.2 +8,8,4511,8,1,7,3,35,3.2,0.7,67,Y,0.65,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,6,4530,6,2,7,2,28,3.2,0,65,Y,0.19,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +8,8,4543,8,2,7,2,35,3.2,0.75,68,Y,0.76,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,3,4577,3,2,7,1,45,3.2,-0.69,69,Y,-0.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +8,8,4599,9,2,7,3,32,3.2,0.83,67,Y,0.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,10,4619,10,2,7,3,36,3.2,1.47,68,Y,1.63,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,2,4644,3,2,7,2,28,3.2,-0.6,68,Y,-0.95,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +6,4,4652,6,1,7,3,31.5,3.2,0.17,68,Y,-0.42,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +3,2,4667,3,2,7,1,40,3.2,-0.6,67,Y,-0.93,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,2,4706,1,1,7,5,37,3.2,-1.32,69,Y,-1.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,4748,3,2,7,1,34.5,3.2,-0.67,67,Y,,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.8420885,g 700+,g 700-760,0.9965257,3.2 +3,4,4806,3,1,7,3,39,3.2,-0.65,69,Y,-0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,3,4809,3,1,7,4,35.5,3.2,-0.65,65,Y,-0.73,P,2,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,722.6315615,g 700+,g 700-760,0.9965257,3.2 +5,8,4822,5,1,7,1,46,3.2,-0.01,63,Y,0.87,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +9,8,4835,9,1,7,1,36,3.2,1.08,66,Y,0.7,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,4,4857,3,1,7,3,32,3.2,-0.52,52,Y,-0.5,P,7,P,95,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +4,4,4870,4,2,7,3,39,3.2,-0.39,69,Y,-0.29,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,4874,3,2,7,1,37,3.2,-0.75,68,Y,-1.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,2,4884,1,2,7,3,26.5,3.2,-1.66,61,Y,-1.12,F,7,P,95,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,580.5263045,e 580-640,e 580-640,0.9965257,3.2 +6,7,4903,7,1,7,3,40,3.2,0.29,69,Y,0.31,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,9,4924,9,1,8,3,32,3.2,1.04,64,Y,1.25,P,7,P,94,1,4,-57,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,1,4927,1,1,3,1,34,3.2,-1.31,67,Y,-1.39,F,7,F,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,8,4933,7,2,7,1,35.5,3.2,0.4,69,Y,0.64,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.6315615,g 700+,g 700-760,0.9965257,3.2 +5,7,4943,5,2,7,4,34,3.2,-0.01,67,Y,0.41,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +6,8,4955,6,2,7,3,38.5,3.2,0.08,65,Y,0.79,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.9999805,g 700+,h 760-820,0.9965257,3.2 +6,6,4991,6,1,7,1,38,3.2,0.19,66,Y,0.1,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,1,4993,3,2,7,4,41,3.2,-0.55,67,Y,-1.48,F,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,6,5008,7,2,4,4,36,3.2,0.43,69,Y,0.19,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,1,5017,1,1,7,3,35,3.2,-2.36,68,Y,-2.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,10,5018,9,2,7,1,33.5,3.2,1.28,68,Y,1.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +2,1,5030,2,1,7,5,38,3.2,-1.1,68,Y,-1.38,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,7,5046,5,1,7,2,26,3.2,-0.27,68,Y,0.24,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,572.631568,d 520-580,d 520-580,0.9965257,3.2 +10,10,5048,10,1,7,3,35,3.2,2.06,65,Y,2.51,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,8,5049,8,1,7,4,40,3.2,0.71,65,Y,0.83,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,6,5072,5,2,7,3,35,3.2,-0.23,63,Y,0.05,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,4,5075,5,1,7,3,31.5,3.2,-0.14,66,Y,-0.37,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +,,5077,,1,7,5,39,3.2,,67,Y,,P,7,P,94,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,6,5079,7,2,7,1,42,3.2,0.55,64,Y,0.2,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +1,8,5081,1,1,7,3,33.3,3.2,-1.58,62,Y,0.56,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.8947209,f 640-700,f 640-700,0.9965257,3.2 +7,6,5090,7,2,7,3,32,3.2,0.33,69,Y,0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,7,5107,8,2,7,2,34,3.2,0.53,67,Y,0.54,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,4,5113,3,2,7,3,41,3.2,-0.68,69,Y,-0.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +8,10,5125,9,1,7,3,43,3.2,0.85,48,Y,1.37,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +7,8,5132,7,2,6,1,42,3.2,0.54,61,Y,0.64,P,2,P,94,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +8,5,5135,8,1,7,1,40,3.2,0.69,70,Y,-0.02,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,1,5150,2,1,7,3,31,3.2,-1.26,68,Y,-1.62,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +4,3,5162,4,1,7,1,41,3.2,-0.29,70,Y,-0.73,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,3,5186,4,2,7,2,30,3.2,-0.48,69,Y,-0.89,F,7,P,96,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +1,1,5194,2,2,7,2,33,3.2,-1.15,68,Y,-2.09,F,7,P,95,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +10,10,5215,10,1,7,3,31,3.2,2.48,63,Y,2.18,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,2,5240,2,2,5,4,29,3.2,-0.99,69,Y,-0.88,F,7,F,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,619.999987,e 580-640,e 580-640,0.9965257,3.2 +7,8,5263,7,2,8,1,44,3.2,0.47,68,Y,0.68,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +8,8,5277,8,1,7,3,26.5,3.2,0.61,69,Y,0.75,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,580.5263045,e 580-640,e 580-640,0.9965257,3.2 +5,10,5285,5,1,7,3,33,3.2,-0.14,61,Y,1.4,P,7,P,94,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +10,9,5298,10,1,7,1,35,3.2,1.33,67,Y,1.25,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,5314,,2,7,,33.7,3.2,1.43,67,Y,0.95,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,694.2105101,f 640-700,f 640-700,0.9965257,3.2 +8,8,5333,9,2,7,1,43,3.2,0.88,69,Y,0.69,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +4,3,5354,4,2,2,1,38,3.2,-0.35,62,Y,-0.61,P,7,P,94,1,3,-55,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,4,5359,7,2,7,1,38,3.2,0.31,68,Y,-0.39,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,6,5371,7,2,7,3,38,3.2,0.48,62,Y,0.1,P,7,P,94,1,,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,8,5378,10,1,7,3,46,3.2,1.34,57,Y,0.55,P,7,P,95,2,2,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,888.421028,g 700+,i 820+,0.9965257,3.2 +9,9,5380,9,1,7,3,33,3.2,1.23,68,Y,1.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,7,5391,6,2,7,3,35,3.2,0.15,69,Y,0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,9,5412,9,1,7,3,40.5,3.2,1.08,67,Y,1.04,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,801.5789265,g 700+,h 760-820,0.9965257,3.2 +6,5,5441,6,1,7,3,31,3.2,0.08,69,Y,-0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +4,1,5469,4,1,3,4,34,3.2,-0.32,67,Y,-3.19,P,2,P,95,1,2,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,9,5476,7,1,7,1,44,3.2,0.48,68,Y,1.22,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +9,9,5489,9,2,7,3,31,3.2,0.94,69,Y,1.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,8,5507,7,1,3,6,19,3.2,0.28,42,Y,0.87,P,7,P,94,1,1,-35,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,462.105257,c 460-520,c 460-520,0.9965257,3.2 +6,4,5532,7,2,7,1,40,3.2,0.32,69,Y,-0.39,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,4,5541,4,1,7,1,36,3.2,-0.47,69,Y,-0.46,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,8,5543,9,2,7,3,41,3.2,1.04,69,Y,0.87,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +9,7,5557,9,1,7,4,41,3.2,0.97,69,Y,0.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,2,5569,1,1,7,1,39,3.2,-1.41,68,Y,-1,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,9,5621,9,1,7,6,33,3.2,1.01,69,Y,1.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,5,5636,6,2,7,1,41,3.2,0.27,67,Y,-0.07,P,2,P,95,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,6,5680,4,2,7,1,43,3.2,-0.28,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +,,5682,,1,7,4,45,3.2,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,872.631555,g 700+,i 820+,0.9965257,3.2 +6,8,5684,6,1,7,2,30,3.2,0.15,68,Y,0.59,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +10,10,5705,10,2,7,1,38,3.2,1.83,65,Y,1.46,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,4,5759,4,2,7,1,34,3.2,-0.45,68,Y,-0.47,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,5764,10,1,7,2,30,3.2,2.01,69,Y,1.74,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +3,4,5767,4,1,7,1,42,3.2,-0.49,66,Y,-0.29,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +1,2,5796,1,2,3,1,31.5,3.2,-1.49,69,Y,-1.29,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +5,5,5798,5,1,7,3,38,3.2,-0.05,69,Y,-0.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,8,5801,9,2,7,2,35,3.2,0.96,68,Y,0.64,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,5842,10,2,7,3,37,3.2,1.93,69,Y,2.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,2,5868,4,2,7,3,38,3.2,-0.29,69,Y,-1.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,4,5876,7,2,7,2,35,3.2,0.46,63,Y,-0.5,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,8,5894,9,2,7,2,33,3.2,1.01,65,Y,0.84,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,6,5902,7,2,7,4,39,3.2,0.26,69,Y,0.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,5,5910,6,2,7,5,37,3.2,0.14,67,Y,-0.07,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +10,9,5915,10,2,7,1,39,3.2,1.49,56,Y,1.2,P,2,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,4,5917,3,2,7,3,31,3.2,-0.52,59,Y,-0.5,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,1,5924,2,2,3,5,33,3.2,-1.06,65,Y,-1.72,P,7,P,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,683.157879,f 640-700,f 640-700,0.9965257,3.2 +9,6,5932,9,2,7,3,41,3.2,0.9,69,Y,0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,7,5937,5,2,7,3,34.5,3.2,-0.02,64,Y,0.42,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +7,6,5938,7,1,7,4,35,3.2,0.38,68,Y,0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,6,5941,6,1,7,3,24,3.2,0.17,64,Y,0,P,2,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,541.052622,d 520-580,d 520-580,0.9965257,3.2 +8,7,5946,8,2,7,3,37,3.2,0.81,68,Y,0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,4,5954,6,2,7,1,34,3.2,0.18,66,Y,-0.53,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +1,5,5962,2,1,7,3,31,3.2,-1.22,46,Y,-0.05,F,7,F,95,2,4,-39,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,6,5970,5,2,7,3,42,3.2,-0.02,67,Y,0.15,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +9,9,5975,9,2,7,1,36.5,3.2,1.23,68,Y,0.93,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.4210345,g 700+,g 700-760,0.9965257,3.2 +6,8,5976,7,1,7,4,39,3.2,0.27,69,Y,0.59,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,6,5989,5,2,7,3,35,3.2,-0.21,68,Y,0.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,6002,,1,7,4,34,3.2,,54,Y,,P,2,P,96,2,4,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,6008,10,2,7,3,42,3.2,1.61,65,Y,1.85,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +5,4,6014,6,1,7,3,38,3.2,-0.01,68,Y,-0.45,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,6,6017,8,1,7,1,37,3.2,0.64,69,Y,0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,5,6066,3,2,7,3,33,3.2,-0.8,57,Y,-0.05,P,7,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +8,5,6092,8,2,7,3,30,3.2,0.75,66,Y,-0.18,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +4,4,6095,4,1,7,4,34,3.2,-0.25,69,Y,-0.41,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,5,6102,7,2,7,1,39,3.2,0.52,69,Y,-0.01,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,9,6113,9,1,7,3,38,3.2,1.06,67,Y,1.13,P,6,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,2,6133,1,2,7,2,30.5,3.2,-1.35,67,Y,-1.24,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +3,2,6143,3,2,7,1,42,3.2,-0.64,66,Y,-0.96,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +9,8,6155,9,2,7,4,37.5,3.2,1.03,69,Y,0.64,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.2105075,g 700+,g 700-760,0.9965257,3.2 +9,8,6164,9,2,7,3,35,3.2,1.1,58,Y,0.81,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +1,1,6178,1,1,7,1,40,3.2,-2.25,52,Y,-1.83,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,7,6206,8,2,7,4,34,3.2,0.82,68,Y,0.38,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +5,8,6220,5,2,7,3,36,3.2,-0.02,68,Y,0.8,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,6,6222,5,1,7,3,41,3.2,-0.19,52,Y,0.06,P,7,P,94,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,8,6237,5,2,7,4,38,3.2,-0.15,62,Y,0.63,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,4,6241,5,2,7,3,35,3.2,-0.17,67,Y,-0.53,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,4,6245,5,2,7,1,32,3.2,-0.15,69,Y,-0.5,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,4,6252,2,2,4,1,36,3.2,-0.93,59,Y,-0.47,P,7,P,94,1,3,-52,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,2,6262,1,2,7,4,41,3.2,-1.57,68,Y,-1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,6,6269,7,2,7,6,20,3.2,0.27,64,Y,0.03,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,477.89473,c 460-520,c 460-520,0.9965257,3.2 +5,3,6284,5,2,7,1,38,3.2,-0.04,68,Y,-0.62,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,2,6296,5,1,7,3,35,3.2,-0.15,67,Y,-0.97,F,7,F,95,1,,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,9,6379,8,2,7,1,43,3.2,0.77,66,Y,1.22,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +7,6,6398,7,2,7,3,39,3.2,0.35,69,Y,0.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,10,6404,9,1,3,3,30,3.2,1.17,63,Y,1.5,P,7,P,94,1,2,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +4,3,6408,5,1,2,3,39,3.2,-0.23,69,Y,-0.58,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +,,6445,,2,7,1,38,3.2,,54,Y,,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,3,6465,4,2,7,4,44,3.2,-0.49,60,Y,-0.7,P,7,P,94,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +5,5,6470,5,2,7,1,40,3.2,-0.11,65,Y,-0.12,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +,,6492,,2,7,4,37,3.2,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,3,6494,6,1,7,3,40,3.2,0.06,57,Y,-0.75,F,2,F,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,4,6502,3,1,7,2,33,3.2,-0.85,69,Y,-0.54,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,3,6504,2,2,7,3,28.5,3.2,-0.94,66,Y,-0.63,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,612.1052505,e 580-640,e 580-640,0.9965257,3.2 +6,5,6523,6,2,7,1,38,3.2,0.26,63,Y,-0.22,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,4,6525,5,1,7,3,36,3.2,-0.14,66,Y,-0.3,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,9,6552,9,1,7,4,40,3.2,0.87,67,Y,1.17,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,6565,10,1,7,1,40,3.2,1.64,65,Y,1.58,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,9,6577,9,2,7,3,42,3.2,0.97,65,Y,1.03,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +5,6,6581,5,2,7,1,42.5,3.2,-0.12,67,Y,0.12,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.1578725,g 700+,i 820+,0.9965257,3.2 +2,2,6590,2,2,7,3,35,3.2,-0.89,69,Y,-1.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,5,6630,5,2,7,2,31,3.2,-0.1,67,Y,-0.14,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,7,6638,7,2,7,3,38,3.2,0.26,66,Y,0.36,P,2,P,95,2,3,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,10,6650,9,1,7,5,44,3.2,0.99,62,Y,1.39,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +9,8,6664,9,1,7,4,45,3.2,1.04,69,Y,0.85,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,872.631555,g 700+,i 820+,0.9965257,3.2 +3,3,6669,4,2,7,3,34,3.2,-0.45,69,Y,-0.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,9,6676,9,1,7,4,41,3.2,1.04,58,Y,1.2,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,1,6683,1,1,3,3,25,3.2,-1.6,68,Y,-2.03,F,2,F,95,1,3,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,556.842095,d 520-580,d 520-580,0.9965257,3.2 +4,3,6715,5,2,7,4,34,3.2,-0.24,57,Y,-0.6,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,9,6732,8,2,7,4,32,3.2,0.75,66,Y,1.2,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +5,8,6736,5,2,7,1,40,3.2,-0.14,67,Y,0.74,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +7,7,6754,8,1,7,2,33,3.2,0.53,68,Y,0.34,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +8,9,6778,8,2,7,4,44,3.2,0.71,66,Y,1.12,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +1,2,6783,1,2,7,1,44,3.2,-1.5,69,Y,-1.22,F,7,F,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +5,3,6790,5,2,7,3,36,3.2,-0.07,44,Y,-0.8,F,7,F,94,1,3,-37,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,9,6798,10,1,7,1,44,3.2,1.49,69,Y,1.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +3,3,6804,4,2,7,3,42,3.2,-0.46,68,Y,-0.65,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +10,10,6849,10,2,7,1,36,3.2,1.36,69,Y,1.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,7,6855,8,1,7,3,45,3.2,0.56,68,Y,0.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +6,6,6879,6,2,7,3,37,3.2,0.2,63,Y,0.02,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,6882,1,1,7,3,28,3.2,-2,68,Y,-2.36,F,2,P,96,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +2,1,6889,2,2,7,2,32,3.2,-0.96,65,Y,-1.62,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,4,6912,3,2,7,3,33,3.2,-0.71,62,Y,-0.42,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +5,5,6933,6,2,7,1,37,3.2,0.04,69,Y,-0.1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,3,6936,4,2,7,2,31,3.2,-0.44,66,Y,-0.68,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +4,3,6937,4,1,7,3,39,3.2,-0.29,68,Y,-0.7,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +,,6943,1,1,3,5,41,3.2,-1.62,69,Y,,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +9,8,6952,9,1,7,2,37,3.2,0.96,58,Y,0.54,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,9,6972,9,2,7,4,47,3.2,1.11,57,Y,1.03,P,2,P,95,1,1,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,904.210501,g 700+,i 820+,0.9965257,3.2 +8,8,6997,8,2,7,2,37,3.2,0.57,68,Y,0.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,2,7021,2,2,7,3,37,3.2,-0.92,66,Y,-1.16,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,7,7030,8,2,7,1,40.5,3.2,0.77,65,Y,0.55,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.5789265,g 700+,h 760-820,0.9965257,3.2 +1,1,7035,1,2,3,4,34,3.2,-1.48,68,Y,-1.91,F,7,F,95,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,7066,10,2,7,3,37,3.2,1.91,67,Y,2.02,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,3,7072,2,1,3,4,33,3.2,-0.93,69,Y,-0.81,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,3,7079,2,1,7,1,40,3.2,-1.08,57,Y,-0.78,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,4,7080,4,2,7,3,29.3,3.2,-0.33,53,Y,-0.35,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.7368289,e 580-640,e 580-640,0.9965257,3.2 +,,7089,,2,7,1,40,3.2,,66,Y,,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +7,9,7101,8,2,7,1,45,3.2,0.6,67,Y,1.12,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +8,6,7112,9,1,7,3,33.5,3.2,0.87,68,Y,0.01,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +5,3,7119,5,2,7,3,39,3.2,-0.07,64,Y,-0.65,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,4,7145,4,1,2,1,43,3.2,-0.26,67,Y,-0.32,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +10,9,7148,10,2,7,1,42,3.2,1.36,69,Y,0.88,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +6,9,7173,6,2,7,1,38,3.2,0.23,67,Y,0.91,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,7175,10,1,7,3,36,3.2,1.29,67,X,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,6,7177,6,2,7,1,42,3.2,0.08,68,Y,0.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +5,1,7202,5,2,7,1,35,3.2,0.04,67,Y,-1.51,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,4,7220,3,1,7,3,32,3.2,-0.81,69,Y,-0.42,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,9,7229,9,2,7,1,39,3.2,1.2,65,Y,1.02,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,2,7234,5,2,7,3,28,3.2,-0.23,66,Y,-0.95,P,7,P,93,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +2,8,7239,2,1,7,1,33.5,3.2,-1.03,69,Y,0.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +9,9,7251,9,1,7,1,40,3.2,1.01,65,Y,1.01,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,7,7263,6,2,4,4,34,3.2,0.2,48,Y,0.45,P,7,P,95,2,1,-41,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,7,7267,3,2,7,3,38,3.2,-0.77,67,Y,0.48,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,8,7268,10,2,7,2,47,3.2,1.23,57,Y,0.82,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,904.210501,g 700+,i 820+,0.9965257,3.2 +9,9,7290,9,1,7,3,46,3.2,0.89,59,Y,1.09,P,7,P,95,2,5,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,888.421028,g 700+,i 820+,0.9965257,3.2 +3,2,7301,4,2,7,3,33,3.2,-0.48,67,Y,-1.2,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,4,7304,5,1,7,1,38,3.2,-0.16,68,Y,-0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,4,7318,5,2,7,3,30,3.2,-0.03,69,Y,-0.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +5,7,7344,5,2,7,4,34.5,3.2,-0.12,68,Y,0.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.8420885,g 700+,g 700-760,0.9965257,3.2 +10,7,7381,10,2,7,4,34.5,3.2,1.82,67,Y,0.41,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.8420885,g 700+,g 700-760,0.9965257,3.2 +8,7,7399,8,1,7,3,38,3.2,0.73,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,8,7416,10,1,7,2,35,3.2,1.23,67,Y,0.72,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,8,7421,9,1,7,1,36,3.2,1.02,68,Y,0.57,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,5,7428,3,2,7,3,36,3.2,-0.7,69,Y,-0.08,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,10,7430,8,2,7,4,40,3.2,0.86,56,Y,1.43,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,9,7437,8,1,7,3,39,3.2,0.58,68,Y,0.91,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,7444,3,2,7,2,43,3.2,-0.84,59,Y,-0.93,F,7,F,94,1,1,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,841.052609,g 700+,i 820+,0.9965257,3.2 +5,3,7452,5,2,7,4,42,3.2,-0.18,66,Y,-0.67,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +8,6,7477,8,1,7,5,37,3.2,0.65,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,6,7491,8,2,7,1,41,3.2,0.74,67,Y,0.21,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +8,9,7496,8,2,7,3,34,3.2,0.77,67,Y,0.97,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,7516,10,2,7,1,30,3.2,2.01,69,Y,2.44,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +,,7553,,1,7,5,39,3.2,,64,Y,,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,6,7557,8,1,7,4,37,3.2,0.62,64,Y,0.24,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,7,7569,8,2,7,3,39,3.2,0.74,66,Y,0.44,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +,,7576,,1,7,5,39.5,3.2,,70,Y,,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,785.7894535,g 700+,h 760-820,0.9965257,3.2 +6,7,7581,7,1,7,3,32,3.2,0.3,69,Y,0.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +3,5,7596,4,1,7,2,33,3.2,-0.53,66,Y,-0.13,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,1,7603,3,1,7,4,42,3.2,-0.76,69,Y,-1.37,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +,,7605,,2,7,5,44,3.2,,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +8,7,7634,8,2,7,3,36,3.2,0.62,67,Y,0.34,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,7,7638,6,1,7,5,48,3.2,0.21,67,Y,0.48,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,919.999974,g 700+,i 820+,0.9965257,3.2 +3,7,7649,3,2,7,3,47,3.2,-0.66,59,Y,0.45,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,904.210501,g 700+,i 820+,0.9965257,3.2 +7,7,7709,7,1,7,3,29,3.2,0.41,46,Y,0.27,P,2,P,95,2,3,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +8,6,7722,8,2,7,3,34,3.2,0.6,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,7,7731,9,2,7,3,35,3.2,0.92,67,Y,0.49,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,3,7743,3,2,7,3,36,3.2,-0.56,69,Y,-0.85,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,6,7746,6,1,7,1,34,3.2,0.08,67,Y,0.02,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,2,7747,3,1,7,3,38,3.2,-0.59,67,Y,-1.09,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,8,7753,7,1,7,5,47,3.2,0.45,65,Y,0.68,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,904.210501,g 700+,i 820+,0.9965257,3.2 +5,5,7755,5,2,7,4,33,3.2,-0.14,60,Y,-0.12,P,7,P,95,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,5,7758,5,1,7,2,27,3.2,-0.21,67,Y,-0.1,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,588.421041,e 580-640,e 580-640,0.9965257,3.2 +8,8,7766,8,1,7,2,34,3.2,0.63,69,Y,0.64,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,7778,,2,7,1,35,3.2,,59,Y,0.01,P,2,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,7,7784,8,1,7,3,41,3.2,0.75,69,Y,0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +,,7788,,2,3,5,44,3.2,,69,Y,0,F,7,P,95,1,,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +3,2,7928,3,2,7,1,39,3.2,-0.59,56,Y,-1.08,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,9,7929,9,2,7,1,40,3.2,0.94,67,Y,1.19,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +7,7,8003,7,1,7,3,30,3.2,0.51,69,Y,0.41,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +,,8016,,2,7,3,44,3.2,,70,Y,,P,7,P,94,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +2,4,8021,2,1,7,2,36,3.2,-1.07,66,Y,-0.57,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,1,8066,4,1,7,4,37,3.2,-0.42,51,Y,-1.41,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,8067,,2,7,1,39,3.2,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,8069,2,1,7,3,36,3.2,-0.84,66,Y,-0.92,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,7,8074,7,1,7,6,37,3.2,0.35,68,Y,0.29,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,4,8084,3,1,7,3,37,3.2,-0.79,67,Y,-0.34,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,1,8091,3,1,7,3,36,3.2,-0.59,70,Y,-1.45,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,9,8092,10,2,7,1,43,3.2,1.4,69,Y,1.02,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +8,9,8132,8,1,7,3,34.5,3.2,0.82,65,Y,0.92,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +8,8,8136,8,2,7,1,36,3.2,0.66,69,Y,0.75,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,3,8138,6,2,7,2,30,3.2,0.02,61,Y,-0.82,P,7,P,94,1,1,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +,,8146,1,1,2,3,28,3.2,-1.44,69,X,,P,2,P,95,1,4,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +1,2,8201,1,2,7,4,34.5,3.2,-1.37,62,Y,-1.29,P,7,P,95,2,,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.8420885,g 700+,g 700-760,0.9965257,3.2 +2,2,8204,2,1,7,1,41,3.2,-0.9,67,Y,-0.89,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,4,8269,5,1,8,3,31,3.2,-0.17,69,Y,-0.37,P,7,P,94,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,2,8273,3,2,7,3,34,3.2,-0.76,67,Y,-1.29,F,2,F,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,1,8286,3,1,2,4,33,3.2,-0.52,68,Y,-1.46,P,7,P,94,1,5,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,5,8287,4,2,7,3,36,3.2,-0.25,69,Y,-0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,4,8291,4,1,7,5,37,3.2,-0.47,67,Y,-0.38,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,6,8319,8,2,6,2,32,3.2,0.64,67,Y,0.03,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,1,8355,1,2,7,4,44,3.2,-1.69,64,Y,-2.04,F,7,F,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +7,9,8369,7,2,7,1,40,3.2,0.55,69,Y,1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,4,8371,6,2,6,1,31,3.2,0.07,67,Y,-0.45,P,,P,,1,4,,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,4,8387,6,1,7,5,37,3.2,0.2,64,Y,-0.38,P,7,P,94,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,3,8396,4,1,7,4,35,3.2,-0.45,61,Y,-0.76,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,8414,10,2,7,3,39,3.2,1.69,64,Y,1.78,P,2,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,10,8418,9,1,2,4,38,3.2,1.12,69,Y,1.38,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,4,8420,4,2,7,3,33,3.2,-0.51,69,Y,-0.54,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,7,8453,8,2,7,3,41,3.2,0.54,65,Y,0.32,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,7,8482,7,2,7,3,36,3.2,0.47,69,Y,0.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,3,8494,5,2,7,4,37.5,3.2,-0.04,67,Y,-0.75,F,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,754.2105075,g 700+,g 700-760,0.9965257,3.2 +3,5,8499,3,1,7,1,38,3.2,-0.59,65,Y,-0.2,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +2,2,8500,2,1,7,1,46,3.2,-0.85,69,Y,-1.06,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +7,6,8504,7,2,7,4,35,3.2,0.35,69,Y,0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,1,8507,2,2,3,3,21,3.2,-1.09,68,Y,-1.31,F,7,P,95,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,493.684203,c 460-520,c 460-520,0.9965257,3.2 +4,4,8524,4,2,7,3,35,3.2,-0.36,67,Y,-0.29,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,4,8547,6,1,7,3,40,3.2,0.1,57,Y,-0.51,P,7,P,95,2,4,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,3,8554,3,2,7,3,33,3.2,-0.69,64,Y,-0.62,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,2,8580,3,2,7,3,26.5,3.2,-0.62,62,Y,-1.16,F,7,F,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,580.5263045,e 580-640,e 580-640,0.9965257,3.2 +2,4,8588,3,1,7,3,31,3.2,-0.78,69,Y,-0.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +9,9,8594,9,1,7,3,42,3.2,0.99,68,Y,1.12,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +4,3,8615,4,2,7,3,36,3.2,-0.42,69,Y,-0.57,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,2,8617,2,2,7,3,37,3.2,-0.87,68,Y,-1.02,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,6,8627,4,2,7,3,31.5,3.2,-0.34,68,Y,0.13,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +5,7,8634,5,2,7,1,46,3.2,-0.12,68,Y,0.49,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +3,1,8635,3,1,6,1,28,3.2,-0.67,63,Y,-1.54,F,7,F,95,2,2,-56,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,604.210514,e 580-640,e 580-640,0.9965257,3.2 +5,6,8649,5,2,7,3,33,3.2,-0.07,57,Y,0.05,P,7,P,95,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,7,8670,7,2,7,2,32,3.2,0.49,69,Y,0.51,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +3,5,8672,3,2,7,3,38,3.2,-0.59,69,Y,-0.14,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,5,8695,6,1,3,6,23,3.2,0.08,58,Y,-0.15,F,7,P,95,1,3,-51,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,525.263149,d 520-580,d 520-580,0.9965257,3.2 +7,6,8702,7,1,7,3,40,3.2,0.32,68,Y,0.23,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,7,8715,9,2,7,5,46,3.2,1.23,69,Y,0.43,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,888.421028,g 700+,i 820+,0.9965257,3.2 +4,7,8723,4,2,7,1,44,3.2,-0.32,69,Y,0.42,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +10,10,8754,10,1,7,3,37,3.2,1.59,68,Y,1.68,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,4,8796,2,1,7,3,35,3.2,-1.07,69,Y,-0.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,6,8810,5,2,7,3,32,3.2,-0.2,69,Y,0.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +8,6,8815,8,1,7,1,42,3.2,0.63,69,Y,0.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +1,1,8832,1,1,3,1,38,3.2,-1.33,67,Y,-1.56,P,7,P,95,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,3,8837,3,2,7,3,37,3.2,-0.54,67,Y,-0.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,4,8838,3,2,7,3,34.5,3.2,-0.67,66,Y,-0.34,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +3,6,8847,3,2,7,1,44,3.2,-0.54,66,Y,0.07,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +5,7,8857,5,2,7,1,33,3.2,-0.15,68,Y,0.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,1,8862,1,2,3,4,29,3.2,-1.98,65,Y,-1.75,P,7,P,94,1,4,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,619.999987,e 580-640,e 580-640,0.9965257,3.2 +3,3,8869,3,1,7,3,38,3.2,-0.55,69,Y,-0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,10,8889,10,2,7,3,34.5,3.2,1.33,69,Y,1.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +,,8892,,1,2,4,39,3.2,,69,Y,,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,4,8923,5,2,7,3,36,3.2,-0.13,55,Y,-0.47,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,7,8929,8,2,7,1,42,3.2,0.64,63,Y,0.46,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +1,1,8930,1,2,7,3,36,3.2,-2.15,62,Y,-1.33,P,2,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,9,8936,7,2,7,3,41,3.2,0.31,67,Y,1.11,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +2,6,8944,2,1,7,3,35,3.2,-0.86,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +1,3,8945,1,2,7,3,35,3.2,-1.33,69,Y,-0.85,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,8951,10,2,7,3,41,3.2,1.53,69,Y,1.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,5,8998,1,2,7,4,32.5,3.2,-1.29,67,Y,-0.2,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +8,9,9016,8,1,7,4,40,3.2,0.8,70,Y,0.93,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,8,9022,8,2,7,4,44,3.2,0.69,67,Y,0.56,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +1,1,9028,1,1,7,1,36,3.2,-1.4,70,Y,-1.49,P,2,P,95,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,7,9067,2,1,7,4,32,3.2,-0.95,65,Y,0.35,P,7,P,94,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +4,3,9073,4,1,7,1,38,3.2,-0.28,67,Y,-0.61,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,9,9075,10,2,7,3,39,3.2,1.32,69,Y,1.01,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,7,9109,4,2,7,3,43,3.2,-0.29,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +9,10,9114,9,1,7,1,45,3.2,0.97,69,Y,1.63,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +1,1,9130,1,1,3,1,30,3.2,-1.49,69,Y,-1.96,F,7,P,96,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +6,7,9136,6,2,7,3,40,3.2,0.17,68,Y,0.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +7,8,9141,7,2,7,2,26.5,3.2,0.29,68,Y,0.83,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,580.5263045,e 580-640,e 580-640,0.9965257,3.2 +2,3,9147,2,2,7,1,34,3.2,-0.92,69,Y,-0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,9,9165,10,1,7,2,27.5,3.2,1.52,68,Y,1.12,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,596.3157775,e 580-640,e 580-640,0.9965257,3.2 +8,5,9184,8,2,7,1,44,3.2,0.62,,Y,-0.07,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +1,2,9188,1,1,7,1,41,3.2,-1.57,69,Y,-1.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,6,9198,5,2,5,3,35,3.2,-0.1,68,Y,0.16,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,10,9252,7,1,7,1,36,3.2,0.51,62,Y,2.21,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,9,9254,8,1,7,3,34,3.2,0.76,68,Y,1.01,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,7,9274,9,2,7,1,41,3.2,0.92,61,Y,0.48,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +2,2,9311,2,2,7,2,24,3.2,-0.89,57,Y,-1.25,P,2,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,541.052622,d 520-580,d 520-580,0.9965257,3.2 +7,8,9317,7,2,7,3,35,3.2,0.48,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,2,9318,2,1,7,1,35,3.2,-1.14,69,Y,-0.91,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,9,9362,9,2,7,4,46,3.2,0.87,67,Y,1.16,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,888.421028,g 700+,i 820+,0.9965257,3.2 +,,9377,,2,7,1,33,3.2,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,2,9380,3,1,7,3,35,3.2,-0.66,59,Y,-1.28,F,7,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,8,9415,10,2,7,4,37.5,3.2,1.84,69,Y,0.83,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.2105075,g 700+,g 700-760,0.9965257,3.2 +9,10,9432,9,2,7,2,32,3.2,1.15,69,Y,1.62,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,2,9462,2,2,3,1,30,3.2,-0.93,70,Y,-1.18,P,7,P,94,1,4,-63,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +7,7,9466,7,1,7,3,36,3.2,0.36,38,Y,0.35,P,7,P,94,1,3,-31,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,10,9481,9,2,7,3,35,3.2,1.1,62,Y,1.33,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +1,2,9501,1,1,6,2,27,3.2,-1.33,59,Y,-1.2,F,2,F,95,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,2,588.421041,e 580-640,e 580-640,0.9965257,3.2 +5,3,9516,5,2,7,3,32,3.2,-0.14,68,Y,-0.67,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +3,2,9518,4,1,8,3,35,3.2,-0.51,57,Y,-1.21,F,2,F,96,2,1,-55,female,1,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,4,9525,3,1,7,3,33,3.2,-0.56,66,Y,-0.37,P,2,P,95,2,4,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,6,9553,7,2,7,3,39,3.2,0.27,67,Y,0.13,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +,,9562,,2,7,1,45,3.2,,69,Y,,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +2,3,9572,2,2,7,1,43,3.2,-0.83,67,Y,-0.82,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +10,9,9581,10,1,7,1,40,3.2,1.31,67,Y,1.12,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,3,9593,2,1,4,1,33,3.2,-0.98,69,Y,-0.8,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,2,9607,2,2,7,1,38,3.2,-1.22,67,Y,-1.09,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,2,9611,4,1,7,3,32,3.2,-0.49,69,Y,-1.11,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +5,3,9616,5,2,7,3,38,3.2,-0.15,68,Y,-0.57,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,4,9631,5,1,7,2,32,3.2,-0.28,69,Y,-0.48,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,10,9661,10,2,7,2,35,3.2,1.93,68,Y,1.69,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,9662,10,2,7,5,42,3.2,1.7,61,Y,1.58,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.263136,g 700+,i 820+,0.9965257,3.2 +,,9676,2,1,2,1,35,3.2,-1.25,68,Y,,P,2,P,95,1,4,-66,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,3,9685,5,2,7,3,32,3.2,-0.24,69,Y,-0.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,9,9697,7,1,7,5,48,3.2,0.58,63,Y,1,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,919.999974,g 700+,i 820+,0.9965257,3.2 +6,8,9710,6,1,7,4,38,3.2,0.21,69,Y,0.59,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,1,9711,1,1,2,4,23,3.2,-1.37,68,Y,-2.05,F,7,F,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,525.263149,d 520-580,d 520-580,0.9965257,3.2 +6,5,9714,6,2,7,3,32,3.2,0.19,69,Y,-0.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +6,3,9723,6,2,7,1,46,3.2,0.17,66,Y,-0.64,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +4,4,9724,4,2,5,5,40,3.2,-0.34,59,Y,-0.36,P,7,P,94,1,2,-52,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,10,9760,9,2,7,3,38,3.2,1.04,64,Y,1.9,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,8,9797,8,2,7,1,31,3.2,0.78,54,Y,0.88,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +1,1,9801,1,1,7,3,30,3.2,-1.33,66,Y,-1.58,P,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +8,8,9803,8,2,7,1,41,3.2,0.77,67,Y,0.76,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +10,10,9819,10,2,7,1,41,3.2,1.82,64,Y,1.86,P,2,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,9,9880,7,2,7,3,31,3.2,0.36,69,Y,1.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,6,9895,6,1,7,3,38,3.2,0.16,67,Y,0.18,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,7,9901,6,2,7,1,31.5,3.2,0.16,64,Y,0.44,P,7,P,95,2,2,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +7,7,9923,7,1,7,3,36,3.2,0.46,62,Y,0.49,P,2,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,2,9938,2,1,7,5,36,3.2,-0.93,68,Y,-0.89,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,9,9944,10,2,7,1,40,3.2,1.58,69,Y,0.99,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,6,9948,6,1,7,1,44,3.2,0.08,62,Y,0.04,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +7,8,9956,8,2,7,3,37,3.2,0.53,65,Y,0.68,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,3,9962,4,2,7,3,33,3.2,-0.33,60,Y,-0.78,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,9968,,1,7,,26,3.2,-0.28,68,Y,-0.25,P,7,P,94,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,572.631568,d 520-580,d 520-580,0.9965257,3.2 +6,3,9993,6,1,3,4,28,3.2,0.25,69,Y,-0.71,P,7,P,94,1,5,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,604.210514,e 580-640,e 580-640,0.9965257,3.2 +9,9,10006,9,1,7,2,33,3.2,1.2,69,Y,1.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +5,4,10036,5,1,7,2,34,3.2,-0.15,69,Y,-0.57,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,3,10041,7,1,7,4,46,3.2,0.32,67,Y,-0.55,P,2,P,94,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,888.421028,g 700+,i 820+,0.9965257,3.2 +4,5,10082,5,2,7,3,40,3.2,-0.24,69,Y,-0.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,8,10109,5,1,7,2,34,3.2,-0.25,69,Y,0.61,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,6,10154,8,1,6,4,30,3.2,0.75,50,Y,0.21,P,7,P,94,2,3,-43,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,635.78946,e 580-640,e 580-640,0.9965257,3.2 +6,7,10164,6,2,4,6,32,3.2,0.21,38,Y,0.38,P,7,P,94,1,2,-31,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,667.368406,f 640-700,f 640-700,0.9965257,3.2 +8,6,10165,8,2,7,2,27,3.2,0.62,66,Y,0.08,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,588.421041,e 580-640,e 580-640,0.9965257,3.2 +8,9,10193,8,2,7,1,36,3.2,0.74,69,Y,0.93,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,3,10207,4,1,7,1,38,3.2,-0.29,69,Y,-0.59,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,2,10231,2,2,7,1,38,3.2,-1.15,68,Y,-0.9,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,3,10259,4,2,7,4,36,3.2,-0.36,69,Y,-0.62,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,3,10262,3,2,7,1,36,3.2,-0.69,58,Y,-0.82,P,7,P,95,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,2,10264,5,2,7,3,40,3.2,-0.12,65,Y,-0.89,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,10293,3,2,7,5,36,3.2,-0.85,67,Y,-1.52,P,2,P,95,2,2,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,10,10304,10,2,7,1,47,3.2,1.59,69,Y,1.47,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +6,6,10323,6,1,7,3,38,3.2,0.17,66,Y,0.18,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,1,10327,2,2,7,1,39,3.2,-1.27,67,Y,-2.13,F,2,F,96,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,2,10357,2,2,7,3,29.5,3.2,-1.28,68,Y,-1.16,P,7,P,95,2,2,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.8947235,e 580-640,e 580-640,0.9965257,3.2 +9,8,10359,9,1,7,3,33,3.2,1.06,68,Y,0.72,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,5,10380,7,2,7,4,38,3.2,0.42,64,Y,-0.16,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,3,10381,3,1,7,3,45,3.2,-0.57,56,Y,-0.6,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +,,10400,,1,7,5,37.5,3.2,,59,Y,,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,754.2105075,g 700+,g 700-760,0.9965257,3.2 +5,3,10402,6,1,7,3,38,3.2,0,68,Y,-0.61,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,10406,,1,2,4,39,3.2,,69,Y,,F,7,P,95,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,6,10415,6,2,7,3,35,3.2,0.07,67,Y,0.01,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +1,1,10419,1,2,7,1,39,3.2,-1.48,68,Y,-1.54,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,6,10431,10,2,7,4,41,3.2,1.36,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +,,10433,,1,7,5,40,3.2,,61,Y,,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,2,10434,3,2,7,1,42,3.2,-0.76,63,Y,-0.99,F,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +2,2,10453,2,1,7,1,37,3.2,-0.89,69,Y,-0.89,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,6,10472,5,1,8,4,32,3.2,-0.11,56,Y,0.1,P,7,P,95,2,3,-49,female,1,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +6,5,10478,6,2,7,3,28,3.2,0.07,70,Y,-0.03,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +6,6,10519,6,1,7,3,37,3.2,0.14,55,Y,0.18,P,7,P,94,1,2,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +10,9,10522,10,2,7,3,35,3.2,1.36,68,Y,1.15,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,9,10525,9,1,7,4,40,3.2,0.88,67,Y,1.29,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,1,10533,2,2,7,3,36,3.2,-1.21,69,Y,-1.4,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +,,10540,2,1,6,3,38,3.2,-1.08,69,Y,,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,5,10541,5,2,2,3,23,3.2,-0.1,67,Y,-0.26,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,525.263149,d 520-580,d 520-580,0.9965257,3.2 +2,3,10557,3,1,7,1,40.5,3.2,-0.79,67,Y,-0.76,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.5789265,g 700+,h 760-820,0.9965257,3.2 +5,6,10562,6,2,7,3,30,3.2,-0.01,69,Y,0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +1,1,10598,2,1,7,1,36,3.2,-1.21,69,Y,-1.34,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +,,10599,,2,7,1,29,3.2,,41,Y,,F,7,P,95,2,2,-34,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,619.999987,e 580-640,e 580-640,0.9965257,3.2 +2,1,10616,2,1,7,3,37,3.2,-0.97,69,Y,-1.44,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,3,10641,5,1,7,4,40,3.2,-0.2,69,Y,-0.64,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,8,10650,8,1,7,4,43,3.2,0.73,65,Y,0.83,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +6,3,10664,6,2,7,1,43,3.2,0.18,69,Y,-0.82,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +7,9,10670,7,1,7,3,35,3.2,0.42,68,Y,1.11,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,2,10676,5,2,7,2,31,3.2,-0.3,51,Y,-1.01,P,2,P,95,1,5,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +1,2,10678,1,2,7,3,36,3.2,-1.69,68,Y,-0.99,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,4,10698,4,1,7,3,42,3.2,-0.33,68,Y,-0.45,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +6,7,10701,6,1,7,1,40,3.2,0.25,64,Y,0.37,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +,,10710,,2,7,3,40,3.2,,69,Y,-1.97,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,5,10716,1,2,6,3,21.5,3.2,-1.32,62,Y,-0.28,F,7,F,95,2,2,-55,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,501.5789395,c 460-520,c 460-520,0.9965257,3.2 +4,6,10719,5,2,7,3,38,3.2,-0.18,65,Y,0.18,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,8,10728,6,2,7,4,48,3.2,0.05,62,Y,0.64,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,919.999974,g 700+,i 820+,0.9965257,3.2 +1,1,10735,2,1,7,3,26,3.2,-1.23,51,Y,-1.68,F,7,F,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,572.631568,d 520-580,d 520-580,0.9965257,3.2 +2,2,10736,3,1,7,1,37,3.2,-0.73,69,Y,-1.24,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,10,10748,9,2,7,3,46,3.2,1.21,66,Y,1.64,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,888.421028,g 700+,i 820+,0.9965257,3.2 +7,8,10755,7,2,7,4,48,3.2,0.52,68,Y,0.83,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,919.999974,g 700+,i 820+,0.9965257,3.2 +4,2,10779,5,2,7,3,29,3.2,-0.17,68,Y,-1.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +2,1,10806,2,2,5,3,30,3.2,-0.98,66,Y,-1.41,P,2,P,94,1,2,-64,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +6,5,10833,6,1,7,3,41,3.2,0.21,63,Y,-0.23,P,2,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +,,10840,,1,3,1,24,3.2,,69,Y,,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,541.052622,d 520-580,d 520-580,0.9965257,3.2 +2,2,10845,2,1,7,3,30,3.2,-0.92,68,Y,-1.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +5,5,10888,5,1,7,4,38.5,3.2,-0.13,68,Y,-0.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.9999805,g 700+,h 760-820,0.9965257,3.2 +6,2,10912,6,1,6,3,21.3,3.2,0.11,68,Y,-1.14,F,7,P,95,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,498.4210449,c 460-520,c 460-520,0.9965257,3.2 +4,6,10925,4,2,7,4,36,3.2,-0.25,69,Y,0.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,8,10959,8,2,7,3,44,3.2,0.75,67,Y,0.71,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +6,6,10995,6,1,3,1,37,3.2,0.26,60,Y,0.04,P,7,P,94,1,3,-53,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,4,11002,3,1,7,3,38,3.2,-0.82,68,Y,-0.32,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,5,11036,5,2,7,3,40,3.2,-0.02,62,Y,-0.26,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,10,11051,9,2,7,1,30,3.2,1.27,68,Y,1.67,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +2,2,11085,2,1,7,1,34,3.2,-1.08,68,Y,-1,F,7,F,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,11093,10,1,7,1,39,3.2,1.87,60,Y,2.4,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,2,11097,2,1,7,1,36,3.2,-1.14,67,Y,-1.13,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,6,11101,8,1,7,3,38,3.2,0.69,61,Y,0.23,P,2,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,7,11128,6,1,7,1,39,3.2,0.28,68,Y,0.46,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,4,11139,6,2,7,3,40,3.2,0.08,69,Y,-0.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,1,11148,4,1,7,3,38,3.2,-0.3,66,Y,-1.52,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,9,11184,9,2,7,3,41,3.2,1.1,68,Y,0.94,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,1,11208,1,2,7,3,41,3.2,-1.36,69,Y,-1.32,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,7,11258,6,1,7,3,40,3.2,0.07,68,Y,0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,11268,2,2,4,1,37,3.2,-0.86,69,Y,-1.5,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,2,11285,1,1,7,3,36,3.2,-1.63,69,Y,-0.96,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,7,11286,6,1,7,3,33,3.2,0.01,69,Y,0.51,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,2,11296,1,2,7,3,43,3.2,-1.47,68,Y,-1.23,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +9,10,11297,9,1,7,1,40,3.2,1.25,69,Y,1.3,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,11298,2,2,7,1,30,3.2,-0.84,35,Y,-2.02,F,7,F,94,1,2,-28,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +10,10,11312,10,2,7,3,29,3.2,1.82,65,Y,1.48,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +9,9,11339,9,2,7,4,38,3.2,1.24,69,Y,0.93,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,10,11345,9,2,7,3,39,3.2,0.85,58,Y,1.46,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,1,11346,2,1,7,2,33,3.2,-1.11,64,Y,-1.99,F,2,F,96,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +8,9,11357,8,2,7,3,31,3.2,0.58,69,Y,0.99,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +10,10,11361,10,2,7,3,32,3.2,1.65,65,Y,1.65,P,6,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +6,8,11401,6,2,7,2,29,3.2,0.12,69,Y,0.78,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,619.999987,e 580-640,e 580-640,0.9965257,3.2 +1,2,11414,1,1,4,1,36,3.2,-2.01,68,Y,-1.23,F,7,F,95,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,2,11422,2,1,7,1,42,3.2,-1.21,68,Y,-0.88,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +10,9,11427,10,2,7,2,31,3.2,1.3,68,Y,0.97,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +,,11432,7,1,3,5,46,3.2,0.41,65,Y,,P,7,P,95,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,888.421028,g 700+,i 820+,0.9965257,3.2 +7,8,11439,7,1,7,5,45,3.2,0.42,67,Y,0.77,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,872.631555,g 700+,i 820+,0.9965257,3.2 +5,8,11468,5,1,7,3,39,3.2,-0.11,63,Y,0.68,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,7,11479,7,1,7,2,32,3.2,0.43,62,Y,0.27,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +3,4,11483,3,2,7,1,37,3.2,-0.64,69,Y,-0.47,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,1,11487,2,1,7,4,44,3.2,-1.1,66,Y,-1.46,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +1,1,11492,1,1,4,1,34,3.2,-1.49,71,Y,-1.68,F,7,P,95,1,3,-64,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +4,5,11515,5,2,7,4,36.5,3.2,-0.21,68,Y,-0.11,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.4210345,g 700+,g 700-760,0.9965257,3.2 +,,11540,,1,7,5,38,3.2,,63,Y,,P,2,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,10,11564,10,1,7,3,41,3.2,1.76,68,Y,1.65,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,1,11574,1,2,7,3,33,3.2,-1.41,59,Y,-1.81,F,7,P,95,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,11585,,2,7,,42,3.2,0.84,65,Y,-0.1,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,825.263136,g 700+,i 820+,0.9965257,3.2 +3,4,11587,3,1,2,3,35.5,3.2,-0.62,69,Y,-0.49,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,722.6315615,g 700+,g 700-760,0.9965257,3.2 +1,4,11590,1,1,7,4,40,3.2,-1.51,66,Y,-0.27,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,6,11594,5,1,7,3,37,3.2,-0.12,68,Y,0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,9,11619,9,1,2,4,32,3.2,1.18,65,Y,0.99,P,7,P,95,2,3,-58,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,6,11626,7,2,7,4,42,3.2,0.49,53,Y,0.19,P,2,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +4,8,11641,5,2,7,3,36,3.2,-0.18,68,Y,0.75,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,5,11642,5,2,7,3,36,3.2,-0.02,69,Y,-0.26,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,3,11649,4,2,7,5,39,3.2,-0.44,64,Y,-0.51,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,7,11660,6,2,7,1,42,3.2,0.26,69,Y,0.38,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +2,4,11662,3,1,2,1,36,3.2,-0.76,69,Y,-0.5,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +,,11698,,2,7,2,33,3.2,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,5,11731,4,1,7,4,32,3.2,-0.27,68,Y,-0.09,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,10,11741,10,2,7,3,35,3.2,1.47,64,Y,1.8,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,6,11748,9,2,7,1,34,3.2,0.93,66,Y,0.23,P,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,4,11751,2,2,7,3,41,3.2,-0.92,63,Y,-0.39,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,6,11759,7,2,7,2,33,3.2,0.38,66,Y,-0.03,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +5,4,11774,5,2,7,1,42,3.2,-0.03,68,Y,-0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +5,7,11782,5,1,7,2,34,3.2,-0.08,68,Y,0.36,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,2,11808,3,2,7,4,37,3.2,-0.57,69,Y,-1.17,F,7,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,3,11829,3,2,7,2,30,3.2,-0.71,66,Y,-0.73,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +3,3,11834,3,1,7,3,25,3.2,-0.64,69,Y,-0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,556.842095,d 520-580,d 520-580,0.9965257,3.2 +6,3,11861,6,2,7,3,38,3.2,0.14,68,Y,-0.8,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,8,11862,7,2,7,4,32,3.2,0.43,68,Y,0.77,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +5,4,11863,5,2,7,4,42,3.2,-0.18,62,Y,-0.38,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +2,4,11864,2,1,7,4,30,3.2,-1.14,65,Y,-0.37,F,7,P,96,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,635.78946,e 580-640,e 580-640,0.9965257,3.2 +5,4,11867,5,1,7,1,42,3.2,-0.11,64,Y,-0.46,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +6,7,11870,6,2,7,1,36.5,3.2,0.25,64,Y,0.44,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.4210345,g 700+,g 700-760,0.9965257,3.2 +10,9,11891,10,2,7,1,36,3.2,1.31,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,2,11896,2,2,7,2,27,3.2,-0.94,69,Y,-0.96,P,2,P,95,2,1,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,588.421041,e 580-640,e 580-640,0.9965257,3.2 +6,2,11902,7,2,7,3,36,3.2,0.26,68,Y,-1,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,4,11906,4,1,7,3,31,3.2,-0.51,67,Y,-0.37,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,4,11926,6,2,7,1,40,3.2,0.22,67,Y,-0.34,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +,,11929,7,1,7,3,39.5,3.2,0.36,68,O,,P,7,P,94,1,4,-61,female,0,0,white,b white,YES,0,0,0,0,1,e non-Grad,FALSE,3,785.7894535,g 700+,h 760-820,0.9965257,3.2 +7,8,11954,7,1,2,3,33,3.2,0.45,69,Y,0.56,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,3,11973,6,2,7,3,30,3.2,0.24,67,Y,-0.57,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +7,3,11982,7,1,7,3,35,3.2,0.33,67,Y,-0.65,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,7,12003,4,2,7,4,37,3.2,-0.48,56,Y,0.38,F,7,F,95,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,3,12016,4,2,7,1,35,3.2,-0.5,69,Y,-0.86,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,3,12017,3,1,7,3,36.5,3.2,-0.77,69,Y,-0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.4210345,g 700+,g 700-760,0.9965257,3.2 +6,6,12021,6,1,7,3,26.7,3.2,0.2,67,Y,0,P,7,P,94,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,583.6841991,e 580-640,e 580-640,0.9965257,3.2 +9,8,12023,9,2,7,4,34,3.2,1.18,67,Y,0.85,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,4,12055,7,2,7,3,34,3.2,0.48,67,Y,-0.45,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +4,7,12082,4,1,7,4,37,3.2,-0.3,50,Y,0.39,P,7,P,95,2,3,-43,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,7,12094,6,1,7,4,33,3.2,0.08,65,Y,0.36,F,7,P,95,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,6,12098,4,2,7,1,36,3.2,-0.28,67,Y,0.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,9,12104,10,2,7,1,39.5,3.2,1.37,68,Y,1.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.7894535,g 700+,h 760-820,0.9965257,3.2 +2,2,12131,2,1,7,1,40,3.2,-1.09,69,Y,-1.04,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,6,12133,6,1,7,2,30.5,3.2,0.07,70,Y,0,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +4,4,12176,5,1,7,1,20,3.2,-0.2,67,Y,-0.4,F,2,P,96,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,477.89473,c 460-520,c 460-520,0.9965257,3.2 +1,1,12187,1,2,2,3,20,3.2,-1.87,67,Y,-2.77,F,7,F,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,477.89473,c 460-520,c 460-520,0.9965257,3.2 +6,6,12192,6,2,7,1,37.5,3.2,0.16,67,Y,0.02,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.2105075,g 700+,g 700-760,0.9965257,3.2 +10,10,12271,10,1,7,3,36,3.2,1.4,69,Y,1.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,5,12275,6,2,7,2,28,3.2,0.1,57,Y,-0.27,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +9,8,12284,9,2,7,2,37,3.2,0.91,64,Y,0.69,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,5,12324,4,2,7,3,37,3.2,-0.32,69,Y,-0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,6,12326,9,1,7,3,30,3.2,0.98,58,Y,0.08,P,2,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +6,7,12341,6,1,7,3,34,3.2,0.15,52,Y,0.28,P,7,P,95,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,8,12357,8,2,7,3,40,3.2,0.57,66,Y,0.59,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,7,12360,9,2,7,3,39,3.2,1.02,68,Y,0.55,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,8,12383,8,1,7,3,31.5,3.2,0.54,67,Y,0.85,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +9,9,12386,9,1,7,1,38,3.2,0.93,61,Y,0.96,P,1,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,6,12401,4,1,7,1,34.5,3.2,-0.41,69,Y,0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.8420885,g 700+,g 700-760,0.9965257,3.2 +10,9,12416,10,1,7,3,44,3.2,1.68,69,Y,1.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +4,7,12442,5,1,7,3,42,3.2,-0.22,65,Y,0.29,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +3,3,12446,3,1,8,1,39,3.2,-0.66,65,Y,-0.68,P,2,P,95,1,3,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,7,12461,5,2,7,3,33,3.2,-0.24,69,Y,0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,1,12465,1,2,3,1,26,3.2,-1.57,69,Y,-1.95,F,7,P,95,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,572.631568,d 520-580,d 520-580,0.9965257,3.2 +10,8,12466,10,2,7,3,34.5,3.2,1.3,69,Y,0.85,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +10,10,12494,10,1,7,3,42,3.2,1.43,65,Y,1.53,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +,,12498,5,2,7,5,39,3.2,-0.03,68,Y,,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,2,12533,3,2,7,3,40,3.2,-0.56,68,Y,-1.03,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,9,12536,9,2,7,2,39,3.2,0.94,66,Y,1.1,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,3,12538,4,1,7,3,30,3.2,-0.46,57,Y,-0.79,F,7,F,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +9,9,12539,9,1,7,4,40,3.2,0.92,67,Y,1.16,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,12566,10,1,7,1,39,3.2,1.39,66,Y,1.34,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,5,12597,9,2,7,4,41,3.2,0.97,66,Y,-0.12,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,7,12617,6,1,7,3,37,3.2,0.17,68,Y,0.52,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,2,12624,2,2,8,5,40,3.2,-1.07,68,Y,-1.3,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,6,12636,3,2,7,1,40,3.2,-0.72,58,Y,0.09,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +,,12638,3,1,4,5,42,3.2,-0.56,68,Y,,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.263136,g 700+,i 820+,0.9965257,3.2 +4,4,12686,4,2,7,4,42,3.2,-0.33,66,Y,-0.29,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +1,1,12710,2,2,7,3,33,3.2,-1.25,70,Y,-1.46,P,2,P,95,1,3,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,12716,,1,7,1,38,3.2,,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,2,12717,3,1,7,2,32,3.2,-0.66,69,Y,-1.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,10,12732,10,2,7,3,42,3.2,1.5,60,Y,1.57,P,7,P,95,2,2,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +3,2,12750,3,1,7,3,36,3.2,-0.64,65,Y,-0.99,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,8,12819,6,1,7,1,39,3.2,0.29,68,Y,0.57,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,9,12827,10,1,7,4,40,3.2,1.34,70,Y,1.04,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,8,12847,4,2,7,2,31,3.2,-0.42,69,Y,0.86,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,7,12861,6,2,7,3,34.5,3.2,0.17,69,Y,0.51,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +4,3,12871,5,1,3,6,15.5,3.2,-0.26,66,Y,-0.83,F,7,F,94,1,1,-59,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,406.8421015,b 400-460,b 400-460,0.9965257,3.2 +6,6,12875,7,2,7,2,31,3.2,0.24,69,Y,0.01,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +10,9,12885,10,1,7,3,40,3.2,1.89,68,Y,1.29,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,12893,3,1,2,2,27,3.2,-0.74,69,Y,-1.49,P,2,P,95,1,3,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,588.421041,e 580-640,e 580-640,0.9965257,3.2 +1,1,12894,1,1,7,3,40,3.2,-1.8,69,Y,-1.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,12911,2,1,2,5,42,3.2,-1.03,69,Y,-1.57,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,825.263136,g 700+,i 820+,0.9965257,3.2 +9,9,12926,9,2,7,3,39,3.2,1,68,Y,0.99,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,10,12928,10,2,7,3,39.5,3.2,1.49,69,Y,1.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.7894535,g 700+,h 760-820,0.9965257,3.2 +9,9,12932,9,2,7,3,37,3.2,0.98,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,6,12943,7,2,7,3,34,3.2,0.44,68,Y,0.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,9,12965,10,2,7,4,40,3.2,1.38,68,Y,1.08,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,2,12979,3,2,7,3,30.5,3.2,-0.77,67,Y,-1.02,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +2,1,12981,2,2,7,1,42,3.2,-1,69,Y,-1.83,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +2,3,13002,2,2,7,1,31,3.2,-0.96,68,Y,-0.87,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +4,3,13021,5,1,7,3,37,3.2,-0.23,69,Y,-0.81,P,2,P,95,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,10,13035,9,1,7,3,39,3.2,1.17,69,Y,1.5,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,4,13054,6,1,7,3,33,3.2,0.21,68,Y,-0.29,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,1,13076,1,2,7,3,30,3.2,-1.51,69,Y,-1.67,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +,,13083,,1,7,1,41,3.2,,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,4,13094,4,2,7,3,37,3.2,-0.29,67,Y,-0.53,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,5,13108,4,2,7,2,28,3.2,-0.31,68,Y,-0.25,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +1,2,13128,1,1,7,3,36.5,3.2,-1.35,69,Y,-0.96,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.4210345,g 700+,g 700-760,0.9965257,3.2 +4,4,13144,4,1,3,1,27,3.2,-0.24,60,Y,-0.38,F,7,P,96,2,4,-53,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,588.421041,e 580-640,e 580-640,0.9965257,3.2 +4,2,13149,4,2,7,4,40,3.2,-0.28,69,Y,-1.12,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,5,13151,4,1,7,3,37,3.2,-0.42,68,Y,-0.23,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,2,13161,2,1,3,1,37,3.2,-1.16,69,Y,-1.22,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,7,13169,9,1,7,3,39,3.2,0.94,67,Y,0.27,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,7,13172,7,1,7,3,35,3.2,0.47,69,Y,0.39,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,8,13206,9,2,7,3,36,3.2,1.16,69,Y,0.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,8,13212,8,1,7,4,38,3.2,0.73,64,Y,0.75,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +2,1,13213,2,1,7,2,31,3.2,-1.04,60,Y,-1.91,F,7,P,95,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,6,13218,6,2,7,1,39,3.2,0.23,65,Y,0.05,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,8,13229,9,1,7,1,37,3.2,0.9,70,Y,0.6,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,13244,2,2,7,3,31,3.2,-1.18,69,Y,-1.87,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +1,2,13252,1,2,3,3,27,3.2,-1.51,69,Y,-1.2,F,7,F,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,588.421041,e 580-640,e 580-640,0.9965257,3.2 +,,13257,,1,7,5,43,3.2,,64,Y,,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,841.052609,g 700+,i 820+,0.9965257,3.2 +5,4,13265,5,2,7,4,33,3.2,-0.14,56,Y,-0.27,F,7,P,96,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,4,13277,4,1,7,3,35,3.2,-0.43,63,Y,-0.46,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,13317,,2,7,4,33,3.2,,66,Y,,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,13322,,2,6,3,21,3.2,,67,Y,,F,7,F,94,1,1,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,493.684203,c 460-520,c 460-520,0.9965257,3.2 +1,2,13337,2,1,7,3,35.5,3.2,-1.13,69,Y,-1.11,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.6315615,g 700+,g 700-760,0.9965257,3.2 +9,9,13339,9,1,7,1,35,3.2,1.05,48,Y,1.14,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,3,13347,2,1,3,4,32,3.2,-1.03,69,Y,-0.81,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +8,9,13399,8,1,7,3,41,3.2,0.75,69,Y,1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,7,13402,7,2,7,4,39.5,3.2,0.36,68,Y,0.4,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.7894535,g 700+,h 760-820,0.9965257,3.2 +4,3,13423,4,2,7,3,40,3.2,-0.36,68,Y,-0.84,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,8,13437,9,2,7,1,40,3.2,1.16,66,Y,0.82,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,9,13450,8,2,7,5,46,3.2,0.7,62,Y,0.84,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,888.421028,g 700+,i 820+,0.9965257,3.2 +10,10,13454,10,1,7,3,47,3.2,1.77,56,Y,2.42,P,7,P,93,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,904.210501,g 700+,i 820+,0.9965257,3.2 +10,10,13475,10,2,7,4,29.5,3.2,1.97,67,Y,1.48,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,627.8947235,e 580-640,e 580-640,0.9965257,3.2 +5,4,13482,5,1,7,4,35,3.2,-0.06,65,Y,-0.31,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,2,13492,6,2,7,4,34,3.2,0.11,64,Y,-1.03,P,2,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,13509,,1,7,5,39,3.2,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,13510,2,1,7,2,35,3.2,-1.04,68,Y,-1.07,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,7,13512,7,1,3,6,20.5,3.2,0.48,68,Y,0.36,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,485.7894665,c 460-520,c 460-520,0.9965257,3.2 +2,2,13516,2,2,7,1,36,3.2,-1.05,68,Y,-1.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,9,13517,9,2,7,4,39,3.2,1.15,67,Y,1.24,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,4,13526,6,2,7,3,39,3.2,0.03,68,Y,-0.3,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,5,13531,5,2,7,2,38,3.2,-0.07,69,Y,-0.27,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,7,13560,4,1,7,3,33,3.2,-0.4,69,Y,0.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,3,13566,1,1,7,4,33,3.2,-1.31,68,Y,-0.65,F,7,P,96,2,,-61,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,5,13579,7,1,7,1,37,3.2,0.39,70,Y,-0.02,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,1,13596,4,1,7,3,36,3.2,-0.46,63,Y,-1.52,F,7,F,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,8,13609,8,2,7,1,34,3.2,0.66,67,Y,0.8,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +1,2,13652,2,2,7,3,40,3.2,-1.16,67,Y,-0.97,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,6,13695,7,2,7,1,36,3.2,0.32,69,Y,0.03,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,7,13701,8,1,7,3,39,3.2,0.55,66,Y,0.52,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,4,13709,6,1,7,1,40,3.2,0.28,69,Y,-0.48,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,1,13717,2,1,7,2,33,3.2,-1.09,58,Y,-1.31,P,7,P,95,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +9,7,13719,9,2,7,1,40,3.2,1.13,63,Y,0.54,P,2,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,6,13721,5,2,7,1,39,3.2,-0.09,,Y,0.05,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,6,13722,4,2,7,1,43,3.2,-0.49,69,Y,0.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +10,10,13736,10,2,7,2,37,3.2,1.87,69,Y,1.6,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,13744,,1,7,5,40,3.2,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,13797,10,1,7,3,40,3.2,2.22,51,Y,2.43,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,3,13811,5,1,7,4,33,3.2,-0.18,63,Y,-0.71,F,7,P,96,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,2,13824,2,2,5,4,36,3.2,-0.95,69,Y,-0.89,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,4,13838,5,2,7,1,42,3.2,-0.06,68,Y,-0.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +9,10,13841,9,1,7,1,44,3.2,0.98,43,Y,1.44,P,7,P,94,1,4,-36,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +7,4,13846,7,2,7,4,38,3.2,0.45,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,6,13851,5,2,7,1,36,3.2,-0.2,63,Y,0.28,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,2,13854,3,2,7,4,36,3.2,-0.56,63,Y,-1.04,F,7,P,96,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,7,13858,6,2,7,3,35,3.2,0.22,69,Y,0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,4,13866,3,2,7,3,32.5,3.2,-0.53,68,Y,-0.34,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +9,9,13870,9,2,7,3,45,3.2,0.99,67,Y,1.02,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +5,5,13881,5,2,7,5,39,3.2,0.05,65,Y,-0.18,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,6,13888,9,2,7,1,37,3.2,0.92,68,Y,0.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,6,13890,7,2,2,3,40,3.2,0.4,58,Y,0.06,P,7,P,94,1,4,-51,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,8,13893,6,1,7,3,34.5,3.2,0.1,71,Y,0.69,P,7,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +3,3,13936,3,1,7,3,29.5,3.2,-0.63,50,Y,-0.74,P,7,P,94,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.8947235,e 580-640,e 580-640,0.9965257,3.2 +10,10,13958,10,2,7,1,39,3.2,1.67,68,Y,1.32,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,8,13966,7,2,7,3,37,3.2,0.44,60,Y,0.67,P,2,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,7,13972,5,2,7,1,34,3.2,0.02,68,Y,0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,10,13983,9,2,7,3,38,3.2,1.1,68,Y,1.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,2,13985,3,1,7,1,37,3.2,-0.51,68,Y,-0.99,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,3,13994,2,2,7,1,42,3.2,-0.84,67,Y,-0.72,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +1,1,14001,1,1,7,3,36,3.2,-1.4,61,Y,-1.59,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,5,14020,2,1,7,4,37,3.2,-1.18,69,Y,-0.01,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,2,14025,2,1,7,3,29.3,3.2,-0.88,66,Y,-0.98,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.7368289,e 580-640,e 580-640,0.9965257,3.2 +8,8,14027,9,2,7,3,35.5,3.2,0.87,69,Y,0.85,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.6315615,g 700+,g 700-760,0.9965257,3.2 +1,2,14048,1,2,7,3,41,3.2,-1.52,68,Y,-1.05,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,4,14050,3,2,7,4,43,3.2,-0.5,67,Y,-0.31,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +7,8,14052,7,2,7,2,31,3.2,0.28,66,Y,0.66,F,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,5,14062,5,1,7,4,39,3.2,-0.07,64,Y,-0.02,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,8,14064,5,1,7,3,41,3.2,-0.08,67,Y,0.71,P,7,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,8,14068,7,1,7,1,47,3.2,0.3,47,Y,0.84,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +7,8,14077,7,2,7,4,44,3.2,0.34,69,Y,0.84,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +2,4,14160,3,2,7,4,39,3.2,-0.8,67,Y,-0.48,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,1,14179,3,1,7,1,37,3.2,-0.82,60,Y,-1.91,F,7,F,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,2,14187,2,2,7,2,29,3.2,-1.02,66,Y,-1.01,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,619.999987,e 580-640,e 580-640,0.9965257,3.2 +5,7,14191,5,1,7,4,44,3.2,-0.16,68,Y,0.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +3,3,14199,4,2,7,4,34,3.2,-0.47,68,Y,-0.79,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,14232,10,2,7,4,34,3.2,1.5,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,14238,,1,3,5,37,3.2,,67,Y,-0.42,P,7,P,95,1,1,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,14241,,1,7,5,40,3.2,,63,Y,,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,2,14248,2,1,2,1,29,3.2,-1.24,54,Y,-1.32,P,7,P,94,1,4,-47,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,619.999987,e 580-640,e 580-640,0.9965257,3.2 +8,7,14264,8,2,7,5,36,3.2,0.64,69,Y,0.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,10,14268,10,1,7,3,35,3.2,1.56,68,Y,2.15,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +1,2,14274,1,2,7,3,35,3.2,-1.77,62,Y,-1.17,F,7,F,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,8,14278,8,1,7,3,36,3.2,0.63,68,Y,0.77,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,7,14294,7,1,7,1,47,3.2,0.4,67,Y,0.52,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +4,3,14328,4,1,7,3,24,3.2,-0.41,68,Y,-0.85,F,7,P,95,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,541.052622,d 520-580,d 520-580,0.9965257,3.2 +2,3,14346,2,1,7,3,37,3.2,-0.87,55,Y,-0.79,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +10,8,14349,10,2,7,1,39,3.2,1.37,68,Y,0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,10,14354,10,1,7,3,40,3.2,1.83,57,Y,1.82,P,2,P,95,2,2,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,2,14355,4,2,6,6,20,3.2,-0.27,62,Y,-0.93,F,2,P,95,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,477.89473,c 460-520,c 460-520,0.9965257,3.2 +1,2,14363,1,2,7,3,38,3.2,-1.85,63,Y,-1.29,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,7,14383,7,2,7,1,45,3.2,0.48,70,Y,0.55,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +8,7,14384,8,2,7,4,36,3.2,0.66,65,Y,0.28,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,2,14392,4,2,2,1,36,3.2,-0.51,69,Y,-1.25,F,7,F,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,4,14403,4,2,7,3,37,3.2,-0.46,69,Y,-0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,5,14411,8,2,7,2,30,3.2,0.71,67,Y,-0.1,F,7,P,95,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +6,5,14415,7,1,7,1,43,3.2,0.32,69,Y,0.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +2,1,14417,3,2,8,3,26,3.2,-0.83,66,Y,-1.37,F,7,P,95,1,4,-59,male,0,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,572.631568,d 520-580,d 520-580,0.9965257,3.2 +9,9,14421,9,2,7,5,38,3.2,0.99,69,Y,1.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,4,14424,4,1,7,4,43,3.2,-0.27,69,Y,-0.27,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +1,2,14431,1,1,7,1,40,3.2,-1.76,65,Y,-1.12,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,5,14465,7,1,7,3,28,3.2,0.31,67,Y,-0.16,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +9,9,14490,9,1,3,6,39,3.2,1.03,65,Y,1.19,P,7,P,94,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,9,14492,9,2,7,1,38,3.2,1.28,69,Y,1.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,14495,,1,7,4,40,3.2,,69,Y,,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,5,14509,4,1,7,1,44,3.2,-0.34,69,Y,-0.18,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +5,8,14547,6,1,7,1,39,3.2,0.05,67,Y,0.58,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,8,14568,8,1,7,3,36,3.2,0.72,69,Y,0.77,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,8,14600,8,2,7,1,44,3.2,0.58,68,Y,0.77,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +4,2,14627,4,2,7,1,44,3.2,-0.36,66,Y,-0.93,F,2,F,96,1,2,-64,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +2,5,14629,2,2,7,2,30,3.2,-0.97,68,Y,-0.29,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +5,4,14649,5,2,7,1,30,3.2,-0.16,69,Y,-0.52,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +2,1,14654,3,2,7,3,41,3.2,-0.71,69,Y,-1.9,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,1,14660,1,1,2,4,22,3.2,-1.67,60,Y,-1.78,P,2,P,95,1,3,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,509.473676,c 460-520,c 460-520,0.9965257,3.2 +8,7,14673,9,2,7,3,40,3.2,0.84,65,Y,0.5,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,6,14731,5,2,7,1,42,3.2,-0.04,66,Y,0.14,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +8,8,14739,8,2,7,3,32.5,3.2,0.76,69,Y,0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +7,7,14742,8,1,7,3,38.5,3.2,0.53,67,Y,0.37,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.9999805,g 700+,h 760-820,0.9965257,3.2 +9,8,14759,9,1,7,3,26.5,3.2,1.18,63,Y,0.87,P,2,P,95,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,580.5263045,e 580-640,e 580-640,0.9965257,3.2 +1,1,14804,1,2,7,1,39,3.2,-1.41,70,Y,-1.74,F,7,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,1,14822,2,2,7,1,36,3.2,-1.23,66,Y,-1.59,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,8,14823,8,2,7,1,44,3.2,0.75,67,Y,0.65,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +1,1,14867,1,2,7,1,40,3.2,-1.4,69,Y,-1.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,14871,2,1,7,1,35,3.2,-1.1,71,Y,-1.43,F,7,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,8,14880,6,2,7,1,41,3.2,0.09,67,Y,0.82,F,7,F,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,7,14889,7,2,7,3,31.5,3.2,0.29,59,Y,0.35,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +9,10,14925,9,2,7,3,32.5,3.2,1,67,Y,1.46,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +3,6,14929,3,1,7,2,24,3.2,-0.69,48,Y,0.12,P,7,P,94,1,5,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,541.052622,d 520-580,d 520-580,0.9965257,3.2 +9,9,14963,9,1,7,3,34.5,3.2,1.01,69,Y,1.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +3,5,14965,4,1,7,2,28.5,3.2,-0.47,68,Y,-0.24,P,2,P,94,1,2,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,612.1052505,e 580-640,e 580-640,0.9965257,3.2 +2,1,14973,2,1,3,4,35,3.2,-1.1,67,Y,-1.59,P,2,P,96,1,1,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,14993,10,1,7,4,33,3.2,1.4,52,Y,1.7,P,7,P,95,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,5,15006,7,1,7,1,46,3.2,0.48,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +5,6,15011,5,2,7,1,40,3.2,0,70,Y,0.07,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,10,15033,9,2,7,3,31.5,3.2,1.11,69,Y,1.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +9,8,15040,9,2,7,1,34,3.2,0.98,68,Y,0.74,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,15042,10,1,7,1,41,3.2,1.81,67,Y,1.68,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,4,15066,4,1,7,1,39,3.2,-0.47,68,Y,-0.36,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,6,15068,7,2,7,3,34,3.2,0.37,69,Y,0.24,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,7,15078,7,1,7,1,37,3.2,0.46,64,Y,0.55,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,8,15080,6,2,7,4,42,3.2,0.11,66,Y,0.73,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +3,6,15095,4,1,7,6,37,3.2,-0.35,57,Y,0.03,P,7,P,94,1,2,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,6,15108,8,2,7,3,34.5,3.2,0.75,63,Y,0.25,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +7,7,15114,7,2,6,4,31,3.2,0.28,68,Y,0.29,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,651.578933,f 640-700,f 640-700,0.9965257,3.2 +8,7,15121,8,1,7,1,39,3.2,0.62,67,Y,0.51,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,8,15162,8,2,7,4,43,3.2,0.85,65,Y,0.55,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +7,6,15163,7,1,7,1,41,3.2,0.55,67,Y,0.26,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,5,15176,3,2,7,3,32,3.2,-0.67,69,Y,-0.25,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +5,3,15198,5,1,2,4,32,3.2,-0.06,69,Y,-0.53,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,10,15214,9,1,7,2,38,3.2,0.98,65,Y,1.4,F,7,F,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,6,15218,5,1,7,1,40,3.2,-0.19,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,1,15229,3,1,7,3,37,3.2,-0.59,69,Y,-1.64,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,9,15236,8,1,8,1,48,3.2,0.87,65,Y,1.04,P,7,P,94,1,4,-58,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,919.999974,g 700+,i 820+,0.9965257,3.2 +10,10,15249,10,1,7,3,45,3.2,1.57,67,Y,1.34,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +7,5,15304,7,1,7,3,42,3.2,0.35,62,Y,-0.12,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +6,8,15316,6,1,7,3,30,3.2,0.19,68,Y,0.57,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +10,9,15322,10,2,7,2,28,3.2,1.32,62,Y,1.15,P,7,P,94,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +9,8,15328,9,2,7,3,32,3.2,1.01,67,Y,0.56,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,10,15334,9,1,7,2,40,3.2,1.19,61,Y,1.77,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,793.68419,g 700+,h 760-820,0.9965257,3.2 +,,15336,,2,4,5,29,3.2,,65,X,,P,7,P,95,1,4,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,619.999987,e 580-640,e 580-640,0.9965257,3.2 +7,6,15339,7,1,7,1,34,3.2,0.38,64,Y,0.07,F,7,P,96,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,15352,,1,7,1,42,3.2,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +5,7,15367,5,1,7,3,36,3.2,-0.15,69,Y,0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,9,15370,10,1,7,1,35,3.2,1.6,68,Y,0.92,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,15382,10,1,7,2,36,3.2,1.34,68,Y,1.37,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,2,15386,3,2,7,1,47,3.2,-0.77,50,Y,-1.12,P,2,P,95,2,4,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +4,4,15402,4,2,7,3,21.5,3.2,-0.27,69,Y,-0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,501.5789395,c 460-520,c 460-520,0.9965257,3.2 +4,4,15404,4,2,7,1,42,3.2,-0.28,68,Y,-0.48,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +4,2,15410,5,2,7,3,23.5,3.2,-0.19,69,Y,-1.02,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,533.1578855,d 520-580,d 520-580,0.9965257,3.2 +6,7,15423,6,2,7,4,43,3.2,0.17,68,Y,0.34,P,7,P,94,,4,-61,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +10,10,15426,10,2,7,4,41.5,3.2,1.54,65,Y,1.48,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.3683995,g 700+,h 760-820,0.9965257,3.2 +6,8,15427,6,2,7,1,46,3.2,0.23,65,Y,0.67,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +6,5,15431,7,1,7,3,34,3.2,0.31,69,Y,-0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,9,15455,9,2,7,2,32,3.2,0.9,69,Y,1.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,10,15464,9,2,8,4,41,3.2,1.27,59,Y,1.34,P,7,P,94,1,4,-52,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +,,15474,,2,8,5,39,3.2,,59,Y,,P,7,P,94,1,3,-52,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,4,15510,8,2,7,4,48,3.2,0.81,65,Y,-0.42,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,919.999974,g 700+,i 820+,0.9965257,3.2 +6,7,15516,6,2,7,3,38,3.2,0.07,69,Y,0.38,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,5,15522,5,1,7,1,37,3.2,-0.23,59,Y,-0.06,F,7,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,3,15531,2,2,7,4,35,3.2,-1.08,59,Y,-0.7,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,6,15545,8,2,7,1,44,3.2,0.84,67,Y,0.13,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +3,3,15585,3,1,7,3,33,3.2,-0.65,64,Y,-0.72,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,6,15608,7,2,7,1,38,3.2,0.33,60,Y,0.08,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,2,15625,4,2,7,3,33.5,3.2,-0.32,68,Y,-1.14,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +7,6,15635,7,2,7,4,45,3.2,0.42,64,Y,0.02,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,872.631555,g 700+,i 820+,0.9965257,3.2 +3,4,15654,4,1,7,3,30,3.2,-0.46,67,Y,-0.42,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +9,10,15664,9,2,7,3,34,3.2,1.22,68,Y,1.91,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,7,15669,8,1,7,4,30.5,3.2,0.71,68,Y,0.45,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +6,6,15688,6,2,7,4,39,3.2,0.15,69,Y,0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,2,15706,3,2,7,4,41,3.2,-0.75,69,Y,-1.03,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,5,15719,7,2,7,3,39,3.2,0.49,69,Y,-0.17,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,2,15766,5,2,7,1,39,3.2,-0.17,69,Y,-1.26,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,1,15795,2,1,7,3,35,3.2,-1.27,67,Y,-1.4,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,6,15811,5,1,7,3,31,3.2,-0.12,57,Y,0.22,P,7,P,94,1,2,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +1,3,15822,1,2,7,3,39,3.2,-1.34,69,Y,-0.77,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,6,15835,8,2,7,3,33,3.2,0.82,69,Y,0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,7,15849,7,1,7,3,35,3.2,0.29,67,Y,0.29,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,9,15853,10,2,7,2,32,3.2,1.26,61,Y,1.17,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,1,15877,1,2,3,4,37,3.2,-1.69,68,Y,-1.55,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,2,15891,3,2,7,3,35.5,3.2,-0.67,69,Y,-1.05,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.6315615,g 700+,g 700-760,0.9965257,3.2 +4,3,15894,4,2,7,3,36,3.2,-0.39,67,Y,-0.71,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,8,15900,7,2,7,3,35,3.2,0.46,68,Y,0.61,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,2,15904,4,1,2,5,41,3.2,-0.47,69,Y,-1.16,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +8,8,15906,8,2,7,5,38,3.2,0.94,67,Y,0.59,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,3,15915,3,2,7,4,35,3.2,-0.67,68,Y,-0.62,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,2,15927,10,1,7,4,40,3.2,2.15,63,Y,-0.86,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,9,15947,7,1,7,2,28,3.2,0.23,59,Y,0.98,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +9,9,15953,9,2,7,3,35,3.2,1.26,68,Y,0.95,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,2,15955,2,2,2,3,32,3.2,-1.01,68,Y,-1.24,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +4,6,15961,5,1,7,3,37,3.2,-0.24,67,Y,0.11,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,6,15962,7,2,7,4,42,3.2,0.34,68,Y,0.17,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +3,5,15994,3,1,7,4,42,3.2,-0.68,68,Y,-0.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +8,6,16009,8,1,7,2,29,3.2,0.74,69,Y,0.1,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,619.999987,e 580-640,e 580-640,0.9965257,3.2 +7,8,16043,7,1,7,3,39,3.2,0.4,68,Y,0.71,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,5,16050,5,2,7,3,35,3.2,-0.17,64,Y,-0.06,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,9,16060,7,1,7,4,36,3.2,0.41,65,Y,0.87,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,9,16079,8,2,7,2,29,3.2,0.58,69,Y,1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,619.999987,e 580-640,e 580-640,0.9965257,3.2 +2,1,16083,2,2,7,5,35.5,3.2,-1.06,67,Y,-1.68,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,722.6315615,g 700+,g 700-760,0.9965257,3.2 +1,3,16084,2,2,7,3,30,3.2,-1.14,56,Y,-0.81,F,7,P,96,2,,-49,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +4,3,16086,5,1,7,3,39,3.2,-0.2,69,Y,-0.57,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,7,16090,6,1,7,3,33,3.2,0.04,43,Y,0.37,P,7,P,94,1,3,-36,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,3,16107,4,2,7,3,35,3.2,-0.28,69,Y,-0.64,P,2,P,94,1,,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,16138,,2,7,4,36,3.2,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,1,16156,1,1,4,4,27,3.2,-2.01,69,Y,-2.16,F,2,P,95,1,3,-67,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,588.421041,e 580-640,e 580-640,0.9965257,3.2 +3,2,16166,4,2,7,3,34,3.2,-0.48,69,Y,-1.19,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,7,16184,7,2,8,2,33.5,3.2,0.44,69,Y,0.49,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +10,10,16189,10,2,7,3,38,3.2,1.34,66,Y,1.8,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,16191,,1,7,1,38,3.2,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,4,16217,6,2,7,3,38,3.2,0.08,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,16249,,2,2,5,33,3.2,,60,Y,,F,7,F,94,1,3,-53,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,6,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,16256,3,2,3,5,39,3.2,-0.62,62,Y,,P,7,P,94,1,2,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,7,16268,5,2,1,1,39.5,3.2,-0.09,64,Y,0.55,P,7,P,94,1,4,-57,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,785.7894535,g 700+,h 760-820,0.9965257,3.2 +10,10,16285,10,2,7,5,44,3.2,1.66,69,Y,1.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +6,6,16300,7,2,7,1,44,3.2,0.3,68,Y,0.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +2,2,16301,2,2,4,4,41,3.2,-1.08,68,Y,-1.29,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,5,16308,7,1,7,1,36,3.2,0.39,69,Y,-0.21,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +,,16322,,1,7,5,43,3.2,,66,Y,,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,841.052609,g 700+,i 820+,0.9965257,3.2 +1,1,16339,1,2,7,2,29,3.2,-1.64,69,Y,-1.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,619.999987,e 580-640,e 580-640,0.9965257,3.2 +1,3,16385,1,2,7,1,42,3.2,-1.57,63,Y,-0.79,P,7,P,95,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +5,7,16407,5,2,7,2,33,3.2,-0.03,69,Y,0.39,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,2,16416,4,1,7,1,36,3.2,-0.45,58,Y,-1.13,P,2,P,96,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,9,16423,10,2,7,3,39,3.2,1.28,68,Y,1.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,1,16445,2,1,3,4,26,3.2,-1.21,49,Y,-1.89,F,7,F,95,1,1,-42,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,572.631568,d 520-580,d 520-580,0.9965257,3.2 +8,9,16462,9,1,7,3,30,3.2,0.86,57,Y,0.97,P,7,P,95,2,4,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +6,6,16469,6,2,7,4,39,3.2,0.17,68,Y,0.26,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,6,16489,8,1,7,2,40,3.2,0.55,68,Y,0.01,F,7,F,95,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,16505,10,2,7,1,47,3.2,1.82,68,Y,1.73,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +9,10,16533,9,2,7,3,35,3.2,0.99,69,Y,1.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,7,16551,6,1,7,1,34,3.2,0.25,69,Y,0.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,10,16564,8,2,7,3,29,3.2,0.68,68,Y,1.54,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +7,6,16582,8,1,7,1,39,3.2,0.59,68,Y,0.13,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,1,16583,3,1,7,1,32,3.2,-0.77,69,Y,-1.73,F,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,9,16599,9,2,7,1,38,3.2,0.97,69,Y,1.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,16624,,1,7,,19.5,3.2,0.16,67,Y,-0.6,P,2,P,95,2,4,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,469.9999935,c 460-520,c 460-520,0.9965257,3.2 +6,5,16634,6,1,7,1,34,3.2,0.14,68,Y,-0.13,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,2,16639,3,2,7,1,42,3.2,-0.58,69,Y,-0.95,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +6,6,16685,6,2,7,5,39,3.2,0.2,67,Y,0.18,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,16690,2,2,7,1,40,3.2,-1.07,61,Y,-0.9,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,16696,3,2,7,3,32,3.2,-0.75,58,Y,-1.33,P,7,P,94,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,1,16705,1,1,1,1,33,3.2,-2,69,Y,-2.51,P,7,P,95,1,3,-62,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +5,6,16707,5,2,7,1,39,3.2,0.01,63,Y,0.02,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,1,16724,1,2,7,3,28.5,3.2,-1.64,68,Y,-1.98,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,612.1052505,e 580-640,e 580-640,0.9965257,3.2 +9,9,16747,9,2,7,3,34,3.2,1.12,68,Y,1.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,9,16754,9,2,7,3,42,3.2,1.05,69,Y,1.29,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +3,2,16756,3,2,7,1,43,3.2,-0.57,67,Y,-0.96,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +3,3,16759,3,1,7,1,39,3.2,-0.6,64,Y,-0.85,P,2,P,96,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,6,16766,7,2,7,1,36,3.2,0.37,67,Y,0.15,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,2,16776,3,1,7,3,39,3.2,-0.8,68,Y,-1.04,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,1,16780,2,2,7,3,34,3.2,-0.96,49,Y,-1.42,P,7,P,94,1,1,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,16781,,1,6,5,38,3.2,,65,Y,,P,7,P,94,1,4,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,5,16802,4,1,7,3,32,3.2,-0.44,69,Y,-0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +4,3,16813,5,1,7,3,38,3.2,-0.2,69,Y,-0.7,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,1,16814,1,1,3,5,40,3.2,-1.77,69,Y,-1.8,F,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,4,16826,1,2,7,4,38,3.2,-1.46,69,Y,-0.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,3,16838,4,2,7,1,33,3.2,-0.39,67,Y,-0.61,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +10,10,16858,10,1,7,4,43,3.2,1.68,67,Y,1.9,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +5,4,16863,6,2,7,3,39,3.2,0.01,62,Y,-0.55,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,8,16866,8,2,7,3,36,3.2,0.68,69,Y,0.76,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,3,16867,2,1,7,3,33,3.2,-1.13,54,Y,-0.8,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,8,16879,7,1,7,1,40,3.2,0.33,70,Y,0.64,P,2,P,95,1,5,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,5,16890,4,2,7,1,41,3.2,-0.25,69,Y,-0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,1,16914,1,1,3,5,32,3.2,-2.26,69,Y,-1.86,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,667.368406,f 640-700,f 640-700,0.9965257,3.2 +,,16922,,2,2,3,35,3.2,,64,Y,,P,2,P,95,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,4,16926,6,2,7,1,31,3.2,0.04,68,Y,-0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +3,3,16928,4,2,3,3,32,3.2,-0.44,,Y,-0.84,P,2,P,95,1,3,,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +8,7,16936,9,2,7,1,41,3.2,0.9,65,Y,0.54,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,7,16949,7,1,7,3,34,3.2,0.35,70,Y,0.3,P,7,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,8,16955,9,1,3,6,29,3.2,1.12,69,Y,0.63,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,619.999987,e 580-640,e 580-640,0.9965257,3.2 +2,1,16958,2,2,2,1,41,3.2,-1,67,Y,-1.41,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,8,16963,7,1,7,3,33,3.2,0.42,68,Y,0.76,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +8,8,16973,8,1,7,3,37,3.2,0.65,69,Y,0.57,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +10,10,16976,10,2,7,3,41,3.2,1.85,69,Y,2.33,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,8,16977,6,2,7,1,31.5,3.2,0.12,68,Y,0.61,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +2,3,17020,3,2,7,1,41,3.2,-0.78,67,Y,-0.87,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +2,4,17027,3,1,6,3,27,3.2,-0.71,64,Y,-0.55,F,2,P,95,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,588.421041,e 580-640,e 580-640,0.9965257,3.2 +6,8,17031,6,2,7,3,31,3.2,0.24,68,Y,0.62,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,3,17051,5,1,7,3,35,3.2,-0.15,67,Y,-0.64,F,2,P,95,1,,-65,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,8,17052,10,2,7,3,38,3.2,1.45,68,Y,0.78,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +2,1,17068,2,1,7,4,32,3.2,-1.02,68,Y,-1.61,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,6,17077,9,2,7,3,38,3.2,0.87,65,Y,0.22,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,17105,,2,7,1,43,3.2,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +3,4,17109,4,2,7,3,34,3.2,-0.44,69,Y,-0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +9,9,17134,9,1,7,3,40,3.2,1.05,69,Y,1.2,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,6,17136,4,2,7,4,46,3.2,-0.3,69,Y,0.03,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,888.421028,g 700+,i 820+,0.9965257,3.2 +3,3,17142,4,1,7,3,32.5,3.2,-0.44,69,Y,-0.6,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +9,8,17150,9,1,7,1,44,3.2,1.18,68,Y,0.83,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +8,7,17166,8,1,7,4,37,3.2,0.64,53,Y,0.51,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,9,17169,8,1,7,3,38,3.2,0.65,57,Y,0.89,P,7,P,95,2,3,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,2,17170,1,1,7,3,38,3.2,-1.39,60,Y,-1.13,P,2,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,10,17173,10,2,7,1,41,3.2,1.99,69,Y,2.16,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +9,8,17193,9,2,7,4,44,3.2,1.08,52,Y,0.69,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +8,9,17217,8,2,7,3,33,3.2,0.83,68,Y,1.28,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,3,17218,2,2,7,2,33.5,3.2,-0.89,67,Y,-0.71,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +9,9,17237,9,1,7,1,43,3.2,0.95,67,Y,1.26,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +9,8,17241,9,1,7,6,31.5,3.2,1.13,62,Y,0.9,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +5,7,17245,6,1,7,3,33,3.2,0.03,67,Y,0.29,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,6,17248,4,1,7,4,34,3.2,-0.34,65,Y,0.07,P,7,P,95,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,1,17283,3,2,7,3,34,3.2,-0.62,69,Y,-1.31,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,4,17292,4,1,7,3,30.5,3.2,-0.52,67,Y,-0.38,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +4,3,17295,4,2,7,1,37,3.2,-0.23,68,Y,-0.57,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,6,17299,5,1,7,3,35,3.2,-0.1,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,4,17324,5,1,7,4,40,3.2,-0.07,69,Y,-0.45,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,2,17328,2,2,7,3,35,3.2,-1.19,68,Y,-0.9,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,3,17352,3,1,7,4,42,3.2,-0.73,65,Y,-0.68,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +8,3,17399,9,2,7,3,35,3.2,0.87,69,Y,-0.65,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,5,17487,3,2,7,4,44,3.2,-0.69,67,Y,-0.16,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +10,10,17508,10,1,7,4,40,3.2,1.97,63,Y,1.88,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +7,6,17515,7,1,7,1,40,3.2,0.41,68,Y,0.28,P,2,P,94,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,6,17536,8,1,7,3,32,3.2,0.64,69,Y,0.24,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,2,17551,2,2,7,1,38,3.2,-1.05,69,Y,-1.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,3,17579,3,2,3,4,32,3.2,-0.53,62,Y,-0.68,P,7,P,94,1,1,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +4,3,17601,4,2,7,1,37,3.2,-0.38,66,Y,-0.64,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,6,17603,5,2,7,1,39,3.2,-0.01,68,Y,0.28,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,10,17605,9,2,7,1,33,3.2,1.2,68,Y,1.54,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,3,17621,1,1,7,3,41,3.2,-1.33,67,Y,-0.68,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,5,17627,5,2,7,3,34,3.2,-0.03,57,Y,-0.19,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,7,17635,8,1,7,6,26.3,3.2,0.76,66,Y,0.34,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,577.3684099,d 520-580,d 520-580,0.9965257,3.2 +3,3,17646,3,2,7,3,35,3.2,-0.66,68,Y,-0.72,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,17698,,2,7,,41,3.2,-1.17,60,Y,,F,2,F,96,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,5,17703,7,2,7,3,35.5,3.2,0.34,68,Y,-0.13,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.6315615,g 700+,g 700-760,0.9965257,3.2 +9,10,17710,9,2,7,4,42,3.2,0.96,63,Y,1.51,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +6,7,17721,6,1,7,4,40,3.2,0.19,55,Y,0.39,F,7,F,95,2,4,-48,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,17728,2,1,2,3,29,3.2,-1.08,66,Y,-1.48,P,2,P,94,1,3,-64,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +,,17729,,2,2,4,35,3.2,,69,Y,,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,4,17738,4,2,7,3,33.5,3.2,-0.52,68,Y,-0.55,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +1,3,17745,2,2,7,3,35,3.2,-1.13,66,Y,-0.84,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,17773,10,1,7,5,44,3.2,1.65,65,Y,1.52,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +5,7,17778,5,1,7,4,37,3.2,-0.06,69,Y,0.52,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,7,17793,6,1,7,2,31,3.2,0.09,68,Y,0.25,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +7,8,17811,7,2,7,2,41,3.2,0.46,69,Y,0.71,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,809.473663,g 700+,h 760-820,0.9965257,3.2 +,,17835,,2,7,1,41,3.2,,68,Y,,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +8,7,17846,8,1,7,4,44.5,3.2,0.56,67,Y,0.42,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,864.7368185,g 700+,i 820+,0.9965257,3.2 +4,7,17855,5,1,7,3,38,3.2,-0.22,67,Y,0.34,P,7,P,94,1,1,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,2,17889,2,2,5,1,41,3.2,-1.17,68,Y,-1.12,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,3,17914,4,1,7,3,36,3.2,-0.29,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,2,17924,3,2,7,3,33,3.2,-0.71,64,Y,-0.96,F,2,F,96,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +8,7,17930,8,1,7,3,43,3.2,0.61,58,Y,0.51,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +1,2,17951,2,1,2,3,34,3.2,-1.26,67,Y,-1,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +1,2,17978,2,2,7,4,41,3.2,-1.21,62,Y,-0.86,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,4,17999,6,2,7,1,38,3.2,0.13,68,Y,-0.28,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,10,18004,10,2,7,3,39,3.2,2.27,65,Y,2.36,P,2,P,95,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,5,18006,5,2,7,3,37,3.2,-0.11,68,Y,-0.26,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,4,18014,4,1,7,3,34,3.2,-0.38,68,Y,-0.34,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +6,6,18029,6,1,7,3,38,3.2,0.08,55,Y,0.09,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,8,18037,8,2,7,1,37,3.2,0.74,65,Y,0.79,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,6,18039,6,2,7,3,37,3.2,0.02,69,Y,0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,3,18079,6,1,8,3,38,3.2,0.22,70,Y,-0.73,P,2,P,94,1,3,-68,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,6,18082,5,2,7,1,36,3.2,-0.12,50,Y,0.07,P,7,P,95,1,3,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,1,18103,1,2,7,3,35,3.2,-1.75,64,Y,-1.65,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,4,18113,6,2,7,2,36,3.2,0.18,69,Y,-0.43,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,1,18114,3,2,7,3,31,3.2,-0.83,69,Y,-1.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,4,18123,2,1,7,1,42,3.2,-0.83,67,Y,-0.4,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +9,9,18144,9,1,8,1,42,3.2,1.09,71,Y,1.28,P,7,P,94,1,4,-64,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +8,7,18149,8,2,7,2,28.5,3.2,0.66,58,Y,0.32,F,7,F,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,612.1052505,e 580-640,e 580-640,0.9965257,3.2 +,,18245,1,1,3,5,41,3.2,-1.59,70,Y,,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,2,18246,3,1,2,4,44,3.2,-0.71,68,Y,-1.13,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +7,7,18257,7,2,7,3,41,3.2,0.46,68,Y,0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,8,18260,7,1,7,3,32,3.2,0.28,69,Y,0.79,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +3,4,18269,3,2,7,4,38,3.2,-0.62,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,10,18270,8,2,7,3,33.5,3.2,0.65,63,Y,1.46,P,7,P,94,1,,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +4,4,18279,4,2,7,3,40,3.2,-0.39,68,Y,-0.54,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,3,18313,5,1,2,4,35,3.2,-0.07,62,Y,-0.52,P,7,P,95,2,5,-55,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,7,18333,9,2,7,1,42,3.2,0.9,67,Y,0.43,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +,,18337,,1,7,5,38,3.2,,66,Y,,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,4,18347,6,2,7,1,40,3.2,0.06,69,Y,-0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,3,18350,2,1,7,4,33,3.2,-1.23,67,Y,-0.68,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,3,18359,5,2,7,1,35,3.2,-0.18,68,Y,-0.69,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,18374,,2,7,5,43,3.2,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,841.052609,g 700+,i 820+,0.9965257,3.2 +9,9,18382,9,2,7,3,43,3.2,1.21,68,Y,1.21,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +4,1,18408,4,1,3,4,27,3.2,-0.39,67,Y,-1.39,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,588.421041,e 580-640,e 580-640,0.9965257,3.2 +10,10,18417,10,2,7,3,46,3.2,2.61,67,Y,2.07,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,888.421028,g 700+,i 820+,0.9965257,3.2 +9,10,18419,9,2,7,3,38,3.2,1.02,68,Y,1.62,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,3,18431,5,2,7,2,28,3.2,-0.17,60,Y,-0.76,F,7,F,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +1,1,18438,2,2,2,1,38,3.2,-1.23,63,Y,-1.5,P,2,P,96,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +2,2,18457,3,2,5,3,28,3.2,-0.76,69,Y,-1.07,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +1,1,18459,2,1,7,3,35,3.2,-1.26,69,Y,-1.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,18465,10,1,7,3,45,3.2,1.32,69,Y,1.47,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +6,7,18469,6,2,7,3,37,3.2,0.15,69,Y,0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,6,18482,6,2,7,1,37,3.2,0.17,67,Y,0.1,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,4,18499,3,2,7,1,40,3.2,-0.79,62,Y,-0.44,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,5,18503,5,1,7,3,33,3.2,-0.03,68,Y,-0.21,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,3,18510,3,2,7,3,32,3.2,-0.65,70,Y,-0.87,F,7,P,96,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +3,2,18518,3,2,7,3,37,3.2,-0.58,68,Y,-1.01,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,7,18520,8,1,7,1,42,3.2,0.65,48,Y,0.43,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +4,4,18529,4,2,7,1,44,3.2,-0.23,68,Y,-0.31,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +8,9,18541,8,1,7,3,36,3.2,0.75,60,Y,1.26,P,7,P,94,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,8,18543,9,2,7,1,42,3.2,0.92,69,Y,0.56,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +3,4,18578,4,1,7,4,34,3.2,-0.47,69,Y,-0.41,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +5,2,18588,6,1,7,4,35,3.2,0.02,67,Y,-1.07,F,7,F,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,10,18591,9,1,3,6,32,3.2,1.14,70,Y,1.57,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,5,18600,3,1,7,3,31,3.2,-0.71,68,Y,-0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,2,18613,3,1,3,4,34,3.2,-0.81,68,Y,-0.86,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +5,5,18618,5,1,7,1,38,3.2,-0.01,63,Y,-0.18,P,7,P,95,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +2,3,18632,3,1,7,3,32,3.2,-0.76,62,Y,-0.8,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,1,18635,1,1,7,4,43,3.2,-1.74,68,Y,-1.38,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +2,1,18644,2,2,7,1,36,3.2,-1.09,69,Y,-1.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,7,18646,7,2,7,3,33,3.2,0.44,69,Y,0.45,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +9,9,18650,9,1,7,4,45,3.2,1.15,65,Y,1.24,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,872.631555,g 700+,i 820+,0.9965257,3.2 +7,7,18658,8,1,7,3,41,3.2,0.53,62,Y,0.39,P,2,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,3,18678,6,2,7,1,44,3.2,0.07,64,Y,-0.68,P,7,P,95,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +4,5,18684,5,2,7,3,44,3.2,-0.24,68,Y,-0.25,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +4,7,18686,4,1,7,3,36,3.2,-0.33,69,Y,0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,8,18692,8,2,7,3,41,3.2,0.66,65,Y,0.67,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +10,9,18736,10,2,7,3,39,3.2,1.62,65,Y,1.27,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,9,18738,10,2,8,1,35,3.2,1.44,68,Y,0.99,P,7,P,94,1,2,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,9,18740,8,2,7,4,39,3.2,0.71,65,Y,1.08,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,5,18753,6,1,2,1,41,3.2,0.24,68,Y,-0.19,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,4,18760,7,2,7,3,35,3.2,0.29,66,Y,-0.45,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,8,18761,10,2,7,5,42,3.2,2.18,69,Y,0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.263136,g 700+,i 820+,0.9965257,3.2 +8,8,18768,8,1,7,1,40,3.2,0.74,69,Y,0.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,5,18771,4,1,7,3,33,3.2,-0.4,69,Y,-0.14,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,4,18793,7,2,7,3,36,3.2,0.39,68,Y,-0.35,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,3,18803,2,2,7,1,40,3.2,-1,68,Y,-0.7,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,18804,10,2,7,3,44,3.2,1.46,66,Y,1.57,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +6,7,18805,6,1,7,1,34.5,3.2,0.27,69,Y,0.38,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.8420885,g 700+,g 700-760,0.9965257,3.2 +2,2,18813,2,1,7,1,36,3.2,-1.05,69,Y,-1.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,1,18818,3,2,7,3,31,3.2,-0.6,47,Y,-1.39,P,7,P,94,1,2,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,4,18825,3,2,7,2,32,3.2,-0.84,50,Y,-0.54,F,7,F,94,1,2,-43,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +,,18828,,2,7,,22,3.2,0.46,64,Y,0.52,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,509.473676,c 460-520,c 460-520,0.9965257,3.2 +5,8,18831,6,1,7,3,37,3.2,0.03,69,Y,0.55,P,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,5,18832,7,2,7,4,41,3.2,0.31,62,Y,-0.23,F,7,P,95,1,,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,7,18858,7,2,7,4,42,3.2,0.31,70,Y,0.36,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +9,9,18867,9,1,7,3,36,3.2,0.92,65,Y,0.92,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,10,18879,5,1,7,3,30,3.2,-0.05,68,Y,1.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +4,3,18882,4,1,7,3,40,3.2,-0.35,67,Y,-0.71,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,7,18905,9,2,7,1,38,3.2,1,65,Y,0.51,P,2,P,95,2,4,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,6,18909,5,1,7,3,30.5,3.2,-0.12,52,Y,0.03,P,7,P,94,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +9,8,18923,9,2,7,3,37.5,3.2,0.92,66,Y,0.7,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.2105075,g 700+,g 700-760,0.9965257,3.2 +6,8,18931,6,2,7,3,33,3.2,0.08,63,Y,0.76,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,4,18934,3,2,7,4,36,3.2,-0.61,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,2,18953,2,1,7,1,33,3.2,-1.05,69,Y,-0.96,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +5,4,18963,6,2,7,3,30,3.2,0.03,68,Y,-0.55,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +4,2,18967,4,2,7,1,44,3.2,-0.34,66,Y,-1.05,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +1,2,18968,2,2,7,2,28,3.2,-1.25,65,Y,-1.17,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +2,6,18977,3,1,7,3,37.5,3.2,-0.8,68,Y,0.13,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.2105075,g 700+,g 700-760,0.9965257,3.2 +5,3,18983,5,2,7,1,33,3.2,-0.16,58,Y,-0.66,P,2,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,8,18992,6,2,7,4,37,3.2,0.2,68,Y,0.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,5,19021,6,1,7,3,32,3.2,0.01,68,Y,-0.09,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,8,19098,10,2,7,2,43,3.2,1.47,54,Y,0.63,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,841.052609,g 700+,i 820+,0.9965257,3.2 +6,5,19109,6,1,7,3,39,3.2,0.22,67,Y,-0.07,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,8,19111,6,1,7,3,32,3.2,0.16,66,Y,0.81,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,3,19116,2,2,7,4,33,3.2,-0.92,69,Y,-0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,7,19118,6,2,7,1,45,3.2,0.19,68,Y,0.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +5,4,19119,5,2,7,3,37,3.2,-0.05,68,Y,-0.38,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,19121,,1,7,2,35,3.2,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,6,19127,6,2,7,1,30,3.2,0.24,68,Y,0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +4,8,19140,5,1,7,3,33,3.2,-0.24,67,Y,0.61,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,1,19171,1,2,3,4,22,3.2,-2.14,51,Y,-1.61,P,7,P,94,1,2,-44,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,509.473676,c 460-520,c 460-520,0.9965257,3.2 +4,4,19176,4,2,7,1,38,3.2,-0.38,45,Y,-0.39,P,7,P,94,1,2,-38,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,5,19179,6,2,7,3,34,3.2,0.08,68,Y,-0.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,8,19183,10,2,7,3,32.5,3.2,1.41,69,Y,0.86,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +7,7,19189,7,2,7,3,32,3.2,0.44,63,Y,0.44,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +6,10,19202,6,1,7,4,38,3.2,0.25,68,Y,2.72,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,9,19209,8,2,7,3,40,3.2,0.59,67,Y,1.29,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,10,19211,9,2,7,4,46,3.2,1.08,67,Y,1.49,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,888.421028,g 700+,i 820+,0.9965257,3.2 +,,19245,2,1,7,3,37,3.2,-1.27,68,Y,,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,4,19289,3,1,7,2,27,3.2,-0.82,69,Y,-0.45,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,588.421041,e 580-640,e 580-640,0.9965257,3.2 +4,5,19291,5,1,7,1,37,3.2,-0.2,65,Y,-0.09,P,2,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,7,19297,6,2,7,3,37,3.2,0.06,69,Y,0.36,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,9,19299,9,2,7,5,41,3.2,1.3,64,Y,1.11,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,7,19312,5,2,7,1,39,3.2,-0.02,63,Y,0.43,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,9,19324,5,2,7,3,32,3.2,-0.08,62,Y,1.04,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,10,19327,9,2,7,3,35,3.2,1.23,65,Y,1.36,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +2,2,19364,2,1,7,3,34,3.2,-1.01,67,Y,-1.24,P,7,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,3,19367,4,1,7,4,33,3.2,-0.5,61,Y,-0.81,P,2,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +5,4,19402,5,2,7,4,37,3.2,-0.1,64,Y,-0.43,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,7,19462,5,2,7,1,48,3.2,-0.21,68,Y,0.53,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,919.999974,g 700+,i 820+,0.9965257,3.2 +7,4,19474,7,2,7,4,36,3.2,0.31,69,Y,-0.3,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,3,19480,3,1,7,2,29,3.2,-0.59,69,Y,-0.67,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,619.999987,e 580-640,e 580-640,0.9965257,3.2 +3,3,19486,3,2,7,3,34,3.2,-0.6,69,Y,-0.62,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,2,19497,2,2,7,3,37,3.2,-1.02,69,Y,-1.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,5,19512,7,2,6,1,46,3.2,0.55,62,Y,-0.17,P,7,P,94,2,3,-55,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +5,3,19534,6,1,7,2,32,3.2,0.04,50,Y,-0.63,F,7,P,95,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +5,4,19553,5,2,7,2,38,3.2,-0.18,68,Y,-0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,4,19611,5,2,7,2,31,3.2,-0.25,63,Y,-0.51,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +3,4,19615,3,1,7,3,39,3.2,-0.67,66,Y,-0.48,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,10,19626,10,2,7,5,41,3.2,1.91,69,Y,1.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,6,19638,5,2,7,5,45,3.2,-0.15,69,Y,0.1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,872.631555,g 700+,i 820+,0.9965257,3.2 +2,4,19644,3,2,7,1,36,3.2,-0.76,69,Y,-0.52,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,8,19669,7,2,7,4,35,3.2,0.38,67,Y,0.59,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,19675,10,1,7,1,44,3.2,1.71,61,Y,1.69,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +4,3,19688,5,2,7,3,34.5,3.2,-0.24,68,Y,-0.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +,,19703,,2,7,5,44,3.2,,68,Y,,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +7,6,19710,7,1,7,1,40,3.2,0.45,66,Y,0.1,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,5,19730,6,2,6,1,33,3.2,0.26,67,Y,0.01,P,7,P,94,1,1,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +10,9,19816,10,2,7,3,33,3.2,1.55,67,Y,1.31,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,19834,,2,7,1,40,3.2,,66,Y,,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +,,19835,,1,7,1,44,3.2,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +10,9,19838,10,1,7,3,34.5,3.2,1.61,69,Y,1,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +9,7,19842,9,2,7,3,25.5,3.2,1.05,66,Y,0.33,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,564.7368315,d 520-580,d 520-580,0.9965257,3.2 +3,8,19846,3,2,7,4,34,3.2,-0.7,58,Y,0.71,P,7,P,95,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,19850,10,2,7,4,41,3.2,1.46,67,Y,1.76,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,4,19861,4,1,7,3,39,3.2,-0.33,69,Y,-0.55,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,7,19869,8,2,7,3,29,3.2,0.58,62,Y,0.37,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +4,5,19878,4,2,3,3,32,3.2,-0.27,69,Y,-0.11,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +3,1,19908,3,2,2,3,40,3.2,-0.59,68,Y,-1.68,F,2,P,95,1,3,-66,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,4,19914,6,1,4,4,42,3.2,0.16,67,Y,-0.45,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +7,8,19919,7,1,7,4,39,3.2,0.41,69,Y,0.85,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,5,19924,4,2,7,3,36,3.2,-0.51,68,Y,-0.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,9,19973,8,2,7,2,28,3.2,0.74,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +4,7,19977,4,2,7,3,40,3.2,-0.32,69,Y,0.53,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,7,19990,9,1,7,3,38,3.2,0.97,67,Y,0.47,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,7,20035,6,1,7,1,40,3.2,0.13,67,Y,0.55,P,2,P,96,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,10,20044,10,1,7,1,47,3.2,2.23,68,Y,1.55,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +4,4,20055,5,1,7,4,32,3.2,-0.24,69,Y,-0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +1,1,20057,1,1,3,1,32,3.2,-1.74,60,Y,-1.68,P,2,P,96,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +6,6,20071,6,1,7,1,43,3.2,0.16,69,Y,0.24,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +,,20083,7,2,7,3,40,3.2,0.51,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,5,20099,8,2,7,1,36.5,3.2,0.82,66,Y,-0.17,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.4210345,g 700+,g 700-760,0.9965257,3.2 +9,9,20118,9,2,7,3,40,3.2,0.99,68,Y,1.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,2,20139,4,2,4,1,30,3.2,-0.43,69,Y,-0.93,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,635.78946,e 580-640,e 580-640,0.9965257,3.2 +,,20163,,2,7,5,40,3.2,,54,Y,,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,9,20185,10,2,7,3,37,3.2,1.38,66,Y,1.26,P,7,P,94,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,8,20187,8,2,7,6,31,3.2,0.73,66,Y,0.52,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,651.578933,f 640-700,f 640-700,0.9965257,3.2 +9,8,20217,9,2,7,4,38.5,3.2,1.18,67,Y,0.73,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.9999805,g 700+,h 760-820,0.9965257,3.2 +6,7,20223,6,1,7,3,40,3.2,0.12,64,Y,0.49,P,2,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +3,4,20230,3,2,7,1,39,3.2,-0.71,60,Y,-0.31,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +,,20254,,1,7,1,35,3.2,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,6,20257,4,1,7,4,42,3.2,-0.39,69,Y,0.11,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +5,5,20261,5,1,7,1,39,3.2,-0.04,67,Y,-0.02,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +4,6,20267,4,2,7,3,38,3.2,-0.36,52,Y,0.01,P,7,P,94,2,4,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,20271,,1,7,1,43,3.2,,70,Y,,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +2,2,20272,2,1,7,3,34,3.2,-0.84,53,Y,-0.89,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +6,4,20320,6,1,7,1,35,3.2,0.21,67,Y,-0.31,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,9,20329,10,2,7,3,32,3.2,1.4,68,Y,0.88,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,4,20335,7,1,5,4,42,3.2,0.3,66,Y,-0.48,P,7,P,94,1,3,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +6,5,20340,6,2,7,1,44,3.2,0.24,64,Y,-0.11,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +8,9,20346,8,1,7,3,39,3.2,0.8,63,Y,0.9,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,2,20357,6,2,7,3,27.3,3.2,0.05,68,Y,-0.99,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,593.1578829,e 580-640,e 580-640,0.9965257,3.2 +9,9,20376,9,1,7,3,45,3.2,1.15,66,Y,1.01,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +5,5,20416,5,2,7,3,37,3.2,-0.05,63,Y,-0.11,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,20421,1,2,3,1,19.3,3.2,-1.65,49,Y,-1.7,P,2,P,95,1,2,-47,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,466.8420989,c 460-520,c 460-520,0.9965257,3.2 +8,4,20424,8,2,7,4,40,3.2,0.71,69,Y,-0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,6,20435,6,1,7,1,38,3.2,0.2,66,Y,0.19,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,9,20467,9,1,7,4,35,3.2,1.02,66,Y,1.24,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,6,20471,6,1,7,4,35,3.2,0.1,65,Y,0.04,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,2,20503,3,1,7,1,39,3.2,-0.72,69,Y,-1.27,P,2,P,95,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,5,20524,7,1,7,1,32,3.2,0.32,67,Y,-0.09,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +8,8,20542,9,2,7,3,33,3.2,0.87,68,Y,0.61,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,1,20543,4,2,7,3,36,3.2,-0.26,67,Y,-1.33,F,7,F,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,2,20559,2,2,3,4,33,3.2,-1.24,68,Y,-0.88,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,7,20566,7,2,7,1,36,3.2,0.44,67,Y,0.38,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,3,20570,5,2,7,3,37,3.2,-0.04,69,Y,-0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,20574,1,2,6,1,26,3.2,-1.81,69,Y,-1.85,F,7,P,95,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,572.631568,d 520-580,d 520-580,0.9965257,3.2 +1,1,20581,1,2,7,3,42,3.2,-1.48,68,Y,-1.92,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +1,1,20591,1,2,4,4,34,3.2,-1.31,68,Y,-1.64,P,7,P,94,1,1,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,3,20605,7,1,7,1,45,3.2,0.39,68,Y,-0.8,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +10,10,20636,10,2,7,3,48,3.2,1.78,60,Y,1.6,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,919.999974,g 700+,i 820+,0.9965257,3.2 +4,5,20639,4,2,7,4,40,3.2,-0.42,65,Y,-0.18,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +,,20649,,1,7,5,45,3.2,,63,Y,,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,872.631555,g 700+,i 820+,0.9965257,3.2 +6,5,20676,6,2,7,3,44,3.2,0.1,68,Y,-0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +3,6,20691,3,2,7,3,38,3.2,-0.64,69,Y,0.11,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,5,20695,5,2,4,4,38,3.2,0.01,68,Y,0.01,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,3,20713,4,2,7,4,36,3.2,-0.39,69,Y,-0.85,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,1,20722,1,1,3,3,20,3.2,-2.1,60,Y,-1.48,F,2,F,96,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,477.89473,c 460-520,c 460-520,0.9965257,3.2 +3,4,20729,3,2,7,4,46,3.2,-0.72,68,Y,-0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,888.421028,g 700+,i 820+,0.9965257,3.2 +9,9,20802,9,1,7,2,32,3.2,0.89,67,Y,1.27,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,1,20804,2,1,3,3,21,3.2,-1.09,68,Y,-1.83,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,493.684203,c 460-520,c 460-520,0.9965257,3.2 +1,2,20805,1,1,3,3,24,3.2,-1.78,64,Y,-0.92,F,2,F,95,2,3,-62,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,541.052622,d 520-580,d 520-580,0.9965257,3.2 +6,7,20811,7,2,7,2,35,3.2,0.26,67,Y,0.33,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,5,20839,9,1,2,5,38,3.2,1.3,67,Y,-0.13,P,7,P,94,1,5,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,10,20875,10,2,7,3,40,3.2,1.92,65,Y,1.46,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,8,20878,9,2,7,3,41,3.2,1.12,64,Y,0.65,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,8,20893,8,2,7,3,31.5,3.2,0.56,66,Y,0.65,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +9,8,20916,9,2,7,3,33,3.2,0.89,65,Y,0.62,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +8,6,20921,8,1,7,1,41,3.2,0.76,69,Y,0.04,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,4,20925,4,2,7,1,41,3.2,-0.28,68,Y,-0.43,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,6,20930,4,2,7,3,32,3.2,-0.36,67,Y,0.12,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +5,4,20938,5,2,7,3,33.5,3.2,-0.08,68,Y,-0.53,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +10,8,20939,10,2,7,3,32,3.2,1.55,60,Y,0.84,P,7,P,94,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +4,7,20956,5,2,7,6,36,3.2,-0.13,32,Y,0.49,P,7,P,94,1,2,-25,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,7,20957,5,2,7,4,42,3.2,-0.24,69,Y,0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +5,5,20969,5,2,7,3,30.5,3.2,-0.08,69,Y,-0.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +5,3,20973,5,1,7,4,39,3.2,-0.08,68,Y,-0.59,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,8,21008,8,2,7,1,46,3.2,0.64,69,Y,0.7,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +6,5,21035,6,2,7,1,41,3.2,0.21,69,Y,-0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,7,21056,7,1,7,2,31,3.2,0.34,66,Y,0.52,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,2,21079,2,1,7,1,34,3.2,-1.12,67,Y,-1.1,P,7,P,94,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +6,6,21092,6,2,7,1,35,3.2,0.11,69,Y,0.2,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +1,1,21124,1,2,7,3,47,3.2,-1.97,64,Y,-2.47,F,2,F,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,904.210501,g 700+,i 820+,0.9965257,3.2 +7,2,21133,8,2,7,3,39,3.2,0.56,69,Y,-1.02,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,7,21169,8,1,7,1,37,3.2,0.65,69,Y,0.41,P,2,P,94,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +10,9,21189,10,2,7,3,33.5,3.2,1.41,68,Y,1.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +4,5,21197,4,2,7,3,27,3.2,-0.37,60,Y,-0.13,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,588.421041,e 580-640,e 580-640,0.9965257,3.2 +10,10,21203,10,1,7,3,34,3.2,2.05,67,Y,1.8,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,6,21221,8,1,7,1,44,3.2,0.77,69,Y,0.21,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +3,2,21224,3,1,2,5,37,3.2,-0.55,66,Y,-0.9,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,3,21227,3,2,2,1,43,3.2,-0.73,68,Y,-0.85,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +8,7,21232,8,1,7,2,33.5,3.2,0.63,68,Y,0.5,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +1,2,21250,2,2,7,4,44,3.2,-1.23,67,Y,-1.2,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +3,3,21254,4,2,7,4,39,3.2,-0.49,69,Y,-0.72,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,4,21256,1,2,7,4,39,3.2,-1.29,69,Y,-0.27,P,2,P,95,2,3,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,5,21264,2,1,7,4,44,3.2,-0.88,69,Y,-0.04,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +6,7,21270,6,2,7,3,39,3.2,0.05,68,Y,0.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,3,21277,6,1,7,3,35,3.2,0.02,68,Y,-0.84,F,7,P,96,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,10,21288,9,2,7,3,46,3.2,1.12,56,Y,1.57,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,888.421028,g 700+,i 820+,0.9965257,3.2 +10,10,21295,10,2,7,2,30.5,3.2,1.71,67,Y,1.57,P,7,P,94,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +10,10,21296,10,2,7,3,31,3.2,1.55,69,Y,1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +1,1,21324,1,1,3,1,28,3.2,-1.61,67,Y,-1.57,F,7,P,96,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,604.210514,e 580-640,e 580-640,0.9965257,3.2 +4,7,21331,4,2,7,3,40,3.2,-0.29,68,Y,0.42,P,7,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,9,21335,5,1,7,2,31,3.2,-0.04,69,Y,1.06,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,5,21340,5,2,7,1,39,3.2,-0.01,69,Y,-0.03,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,10,21346,10,2,7,2,35.5,3.2,1.87,69,Y,1.51,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,722.6315615,g 700+,g 700-760,0.9965257,3.2 +4,5,21395,4,2,7,4,48,3.2,-0.37,63,Y,-0.23,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,919.999974,g 700+,i 820+,0.9965257,3.2 +1,2,21397,1,1,2,5,30,3.2,-1.51,68,Y,-1.23,P,7,P,94,1,5,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,635.78946,e 580-640,e 580-640,0.9965257,3.2 +3,3,21416,3,2,7,4,43,3.2,-0.66,63,Y,-0.66,P,7,P,95,2,4,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +9,9,21427,9,2,7,5,44,3.2,1.03,68,Y,1.14,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +4,3,21487,4,1,7,3,30,3.2,-0.33,68,Y,-0.72,F,7,P,96,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +9,6,21505,9,1,7,1,42,3.2,1.06,60,Y,0.18,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +8,8,21522,8,1,7,3,39,3.2,0.65,68,Y,0.55,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +10,10,21528,10,2,7,4,39.5,3.2,2.24,57,Y,1.46,P,7,P,95,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.7894535,g 700+,h 760-820,0.9965257,3.2 +3,2,21531,3,2,8,5,32,3.2,-0.79,69,Y,-0.92,P,7,P,94,1,2,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,667.368406,f 640-700,f 640-700,0.9965257,3.2 +8,7,21541,8,2,7,3,38,3.2,0.63,67,Y,0.51,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,10,21556,9,2,7,3,33.5,3.2,1.12,66,Y,1.36,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +7,8,21570,7,2,7,2,36,3.2,0.46,69,Y,0.58,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,9,21580,9,1,7,1,39,3.2,0.92,59,Y,1.27,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,6,21585,8,1,7,3,28,3.2,0.79,52,Y,0.22,F,7,P,96,2,3,-45,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +3,2,21602,3,2,7,3,26.5,3.2,-0.58,69,Y,-0.97,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,580.5263045,e 580-640,e 580-640,0.9965257,3.2 +,,21603,,2,7,1,42,3.2,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +9,9,21623,9,1,3,6,34,3.2,0.97,66,Y,1.13,P,2,P,95,1,2,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,698.947352,f 640-700,f 640-700,0.9965257,3.2 +10,10,21651,10,1,7,3,36,3.2,1.69,64,Y,1.52,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,8,21657,5,2,7,1,43,3.2,0.01,67,Y,0.58,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +4,6,21658,4,1,7,5,44,3.2,-0.31,65,Y,0.22,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +7,7,21675,7,2,7,4,36,3.2,0.41,69,Y,0.32,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,6,21679,3,2,7,3,35,3.2,-0.59,67,Y,0.18,P,2,P,94,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,3,21687,4,2,7,3,35,3.2,-0.46,69,Y,-0.71,F,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,7,21748,7,2,7,3,31,3.2,0.41,69,Y,0.47,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +,,21750,4,2,7,3,48,3.2,-0.28,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,919.999974,g 700+,i 820+,0.9965257,3.2 +5,4,21755,5,1,7,1,40,3.2,-0.07,69,Y,-0.38,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,6,21769,4,2,7,1,38,3.2,-0.35,69,Y,0.23,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +2,1,21789,2,2,2,4,42,3.2,-1.02,66,Y,-1.63,F,7,F,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +8,5,21796,8,1,7,3,39,3.2,0.77,69,Y,-0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,10,21797,8,1,7,3,37,3.2,0.68,54,Y,1.47,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,9,21803,8,2,7,1,47,3.2,0.69,62,Y,0.93,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +9,7,21817,9,2,7,3,34,3.2,1.17,69,Y,0.53,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +5,4,21823,5,2,7,3,41,3.2,-0.13,68,Y,-0.42,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,4,21836,4,2,7,3,39,3.2,-0.42,69,Y,-0.34,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,6,21846,8,2,7,3,40,3.2,0.67,67,Y,0.14,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +,,21859,,1,7,4,33,3.2,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,3,21869,3,1,7,1,37,3.2,-0.64,61,Y,-0.87,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,10,21903,9,2,7,3,34,3.2,1.09,65,Y,1.68,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +1,1,21919,1,2,7,2,30.5,3.2,-1.72,66,Y,-1.85,F,7,F,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +,,21920,,2,7,3,35,3.2,,69,Y,-0.16,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,1,21927,3,2,7,1,39,3.2,-0.67,69,Y,-1.45,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +9,8,21947,9,2,7,2,30,3.2,0.96,69,Y,0.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +2,4,21949,2,2,7,1,36,3.2,-0.86,60,Y,-0.37,P,7,P,93,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,10,21968,10,2,7,5,33,3.2,2.29,67,Y,1.36,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,4,21986,6,1,7,3,47,3.2,0.06,66,Y,-0.3,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,904.210501,g 700+,i 820+,0.9965257,3.2 +6,3,21992,6,2,7,5,42,3.2,0.16,66,Y,-0.52,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.263136,g 700+,i 820+,0.9965257,3.2 +1,1,22007,2,2,7,3,36.5,3.2,-1.13,69,Y,-1.76,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.4210345,g 700+,g 700-760,0.9965257,3.2 +4,4,22013,5,1,7,2,35,3.2,-0.27,10,Y,-0.5,P,2,P,95,1,5,-8,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,6,22018,8,2,7,3,33,3.2,0.56,64,Y,0.01,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,22039,,1,7,6,36,3.2,,67,Y,-0.09,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,8,22056,8,1,7,1,41,3.2,0.63,65,Y,0.78,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +2,4,22089,2,2,7,3,35.5,3.2,-1.08,69,Y,-0.54,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.6315615,g 700+,g 700-760,0.9965257,3.2 +4,3,22106,4,1,7,3,37,3.2,-0.4,68,Y,-0.82,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,4,22116,5,2,7,3,33,3.2,-0.05,69,Y,-0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,7,22118,7,2,7,3,36,3.2,0.47,66,Y,0.42,P,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +,,22124,,2,7,4,35,3.2,,43,Y,,P,7,P,94,1,4,-36,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,7,22129,9,2,7,3,37,3.2,0.87,69,Y,0.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,3,22162,2,2,7,1,32,3.2,-1.16,67,Y,-0.77,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +,,22168,,1,7,1,44,3.2,,60,Y,,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +,,22185,,1,7,4,45,3.2,,68,Y,,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,872.631555,g 700+,i 820+,0.9965257,3.2 +7,6,22197,7,2,7,4,39,3.2,0.45,69,Y,0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,5,22210,5,2,7,3,38,3.2,-0.07,69,Y,-0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,7,22232,7,2,7,1,41,3.2,0.49,70,Y,0.55,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,2,22233,4,2,7,3,38,3.2,-0.44,69,Y,-1.01,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +10,10,22236,10,2,7,2,33,3.2,1.41,65,Y,1.64,P,2,P,95,2,4,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,2,22237,1,1,1,2,28,3.2,-1.37,64,Y,-0.95,P,2,P,95,1,4,-62,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +7,6,22238,8,2,7,3,33,3.2,0.53,64,Y,0.16,P,7,P,94,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,3,22250,2,2,7,3,40,3.2,-1.3,68,Y,-0.62,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +10,9,22251,10,2,7,4,43,3.2,1.34,69,Y,1.17,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +8,8,22254,8,1,7,4,45,3.2,0.84,68,Y,0.82,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,872.631555,g 700+,i 820+,0.9965257,3.2 +10,10,22256,10,2,7,3,39,3.2,1.3,67,Y,1.38,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,3,22264,2,1,4,4,38,3.2,-0.95,68,Y,-0.7,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,3,22297,7,2,7,4,41,3.2,0.32,68,Y,-0.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,6,22305,4,2,7,5,42,3.2,-0.3,64,Y,0.04,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.263136,g 700+,i 820+,0.9965257,3.2 +9,10,22308,9,2,7,2,28,3.2,1.21,68,Y,1.5,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +9,10,22309,9,1,7,3,36,3.2,1.19,68,Y,1.33,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,4,22328,5,1,7,4,45,3.2,-0.16,68,Y,-0.35,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,872.631555,g 700+,i 820+,0.9965257,3.2 +3,1,22339,3,2,7,2,30,3.2,-0.62,69,Y,-1.48,P,7,P,95,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.78946,e 580-640,e 580-640,0.9965257,3.2 +3,4,22351,3,2,7,3,38,3.2,-0.59,64,Y,-0.5,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +2,2,22372,3,2,2,3,33,3.2,-0.82,66,Y,-1.13,F,7,P,95,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,7,22393,5,2,7,1,41,3.2,-0.17,69,Y,0.38,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,4,22400,3,2,8,1,36,3.2,-0.54,69,Y,-0.35,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,10,22414,10,2,7,3,35,3.2,1.3,67,Y,1.51,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,8,22435,8,1,7,4,36.5,3.2,0.63,69,Y,0.75,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.4210345,g 700+,g 700-760,0.9965257,3.2 +9,9,22436,9,2,7,3,41,3.2,1.17,66,Y,0.99,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +10,9,22469,10,2,7,2,31,3.2,1.52,68,Y,1.2,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +4,5,22486,4,2,7,1,42,3.2,-0.37,69,Y,0,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +7,8,22524,7,1,7,3,29.5,3.2,0.35,69,Y,0.62,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.8947235,e 580-640,e 580-640,0.9965257,3.2 +6,7,22536,6,2,6,4,32,3.2,0.2,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,9,22539,10,2,7,3,37,3.2,1.78,58,Y,0.94,P,7,P,95,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,22551,1,2,7,4,42,3.2,-1.44,67,Y,-1.72,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +7,8,22565,7,2,7,3,32,3.2,0.36,66,Y,0.73,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,10,22571,10,2,2,3,45,3.2,2.05,64,Y,2.14,P,7,P,94,1,1,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +7,7,22586,8,2,7,2,35,3.2,0.51,68,Y,0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,4,22600,7,2,7,3,43,3.2,0.45,66,Y,-0.53,P,2,P,94,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +1,1,22627,1,2,7,1,35,3.2,-1.46,55,Y,-1.68,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,2,22644,5,2,7,4,37,3.2,-0.17,63,Y,-1.03,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,7,22656,8,1,7,3,35,3.2,0.54,69,Y,0.31,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,9,22675,9,1,7,3,37,3.2,1.11,68,Y,1.28,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,7,22676,5,2,7,3,31,3.2,-0.12,58,Y,0.38,P,7,P,94,1,,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +4,4,22693,4,2,3,1,28,3.2,-0.41,67,Y,-0.28,P,7,P,94,1,2,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,604.210514,e 580-640,e 580-640,0.9965257,3.2 +4,4,22696,4,2,7,5,46,3.2,-0.35,60,Y,-0.35,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,888.421028,g 700+,i 820+,0.9965257,3.2 +1,1,22735,2,1,7,3,30,3.2,-1.28,69,Y,-1.45,F,7,P,96,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +8,7,22740,8,1,7,5,42,3.2,0.78,69,Y,0.47,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.263136,g 700+,i 820+,0.9965257,3.2 +9,9,22752,9,2,7,1,38,3.2,1.03,66,Y,0.89,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,1,22755,1,2,3,1,25,3.2,-1.42,62,Y,-1.47,P,7,P,94,1,3,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,556.842095,d 520-580,d 520-580,0.9965257,3.2 +,,22770,10,1,7,3,43,3.2,1.36,65,X,,P,7,P,95,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +10,10,22774,10,2,7,4,43,3.2,1.72,68,Y,1.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +3,3,22777,4,2,7,1,39,3.2,-0.43,67,Y,-0.57,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,3,22781,5,2,7,3,33,3.2,-0.03,65,Y,-0.73,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,6,22786,7,2,7,3,33,3.2,0.27,69,Y,0.23,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +6,6,22789,6,1,7,4,41,3.2,0.2,70,Y,0.02,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +10,10,22790,10,2,7,3,42.5,3.2,2.35,68,Y,2.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.1578725,g 700+,i 820+,0.9965257,3.2 +6,4,22808,7,2,7,4,41,3.2,0.27,68,Y,-0.27,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +9,8,22835,9,1,6,1,36,3.2,1.03,68,Y,0.82,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,8,22862,9,2,7,3,36.5,3.2,1.12,65,Y,0.71,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.4210345,g 700+,g 700-760,0.9965257,3.2 +4,3,22873,4,1,7,2,31,3.2,-0.31,69,Y,-0.76,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,8,22892,7,2,7,3,32.5,3.2,0.29,66,Y,0.6,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +5,3,22915,5,1,7,3,35,3.2,-0.17,69,Y,-0.79,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,9,22941,9,2,7,4,41,3.2,1.24,68,Y,1.29,P,7,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +9,9,22943,9,1,7,4,38,3.2,1.15,69,Y,1.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,22951,,2,7,1,39,3.2,,58,Y,,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,9,22964,9,1,7,3,38,3.2,0.84,64,Y,1.27,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,4,22971,3,2,7,3,40,3.2,-0.62,70,Y,-0.55,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,3,23000,1,1,7,3,31,3.2,-1.35,69,Y,-0.81,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,6,23008,5,1,3,1,33,3.2,-0.09,60,Y,0.17,P,2,P,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,8,23021,7,2,7,1,41,3.2,0.36,68,Y,0.69,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +3,1,23030,3,2,7,1,42,3.2,-0.73,64,Y,-1.41,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +9,6,23032,9,2,7,3,42,3.2,0.95,53,Y,-0.01,P,7,P,94,1,2,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +2,2,23080,3,2,7,4,33,3.2,-0.8,70,Y,-1.24,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +,,23081,,2,7,5,40.5,3.2,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,801.5789265,g 700+,h 760-820,0.9965257,3.2 +1,2,23105,2,1,7,3,37,3.2,-1.15,69,Y,-0.92,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,2,23122,2,1,7,2,34,3.2,-0.97,69,Y,-1,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,6,23130,2,2,7,3,31,3.2,-0.96,65,Y,0.18,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,3,23151,5,2,7,3,44,3.2,-0.03,67,Y,-0.6,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +1,1,23161,1,1,7,3,36,3.2,-1.3,60,Y,-1.56,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,4,23162,5,2,7,3,34,3.2,-0.21,63,Y,-0.36,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +7,7,23204,7,2,2,1,34,3.2,0.51,66,Y,0.49,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +4,5,23207,4,2,7,3,38,3.2,-0.29,67,Y,-0.17,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,2,23220,2,1,7,3,35,3.2,-1.13,69,Y,-1.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,8,23228,7,2,7,2,28,3.2,0.26,65,Y,0.81,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,604.210514,e 580-640,e 580-640,0.9965257,3.2 +2,5,23267,2,1,7,2,31,3.2,-0.9,62,Y,-0.27,F,7,P,95,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +10,10,23286,10,2,7,2,35,3.2,1.43,68,Y,1.57,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,9,23321,8,2,7,3,37,3.2,0.67,69,Y,1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,3,23344,3,1,7,1,38,3.2,-0.54,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +1,1,23349,2,1,8,4,31,3.2,-1.24,69,Y,-1.42,F,7,P,95,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,651.578933,f 640-700,f 640-700,0.9965257,3.2 +9,10,23366,9,1,7,6,28,3.2,1.15,61,Y,1.64,P,2,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,604.210514,e 580-640,e 580-640,0.9965257,3.2 +7,9,23433,7,1,7,3,30,3.2,0.48,67,Y,0.98,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.78946,e 580-640,e 580-640,0.9965257,3.2 +3,4,23447,3,2,7,3,37,3.2,-0.52,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +5,2,23467,6,2,6,4,37,3.2,0.05,69,Y,-1.25,P,2,P,94,1,4,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,10,23495,9,1,7,3,42,3.2,1,61,Y,1.81,P,7,P,94,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +8,6,23504,8,1,7,1,48,3.2,0.72,64,Y,0.12,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,919.999974,g 700+,i 820+,0.9965257,3.2 +7,3,23519,7,1,7,3,33,3.2,0.35,69,Y,-0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +9,8,23559,9,2,7,1,40,3.2,1,67,Y,0.79,F,7,P,95,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,6,23565,5,1,7,1,38,3.2,-0.04,68,Y,0.07,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,6,23592,8,2,7,2,36,3.2,0.76,66,Y,0.16,F,7,P,95,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,5,23605,4,1,7,1,35,3.2,-0.45,51,Y,-0.17,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,3,23608,5,2,7,1,33,3.2,-0.17,64,Y,-0.84,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,3,23611,3,1,7,4,39.5,3.2,-0.5,69,Y,-0.85,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.7894535,g 700+,h 760-820,0.9965257,3.2 +6,5,23613,6,2,7,1,45,3.2,0.11,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +10,10,23630,10,2,7,1,38.5,3.2,1.72,64,Y,1.51,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.9999805,g 700+,h 760-820,0.9965257,3.2 +5,6,23646,5,1,7,4,36,3.2,-0.11,68,Y,0.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,10,23671,9,1,7,5,36,3.2,1,67,Y,1.34,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,3,23717,7,2,7,1,45,3.2,0.31,68,Y,-0.67,F,2,F,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +4,5,23736,4,1,7,3,35,3.2,-0.36,64,Y,-0.03,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,3,23756,4,1,7,2,34,3.2,-0.46,59,Y,-0.81,F,7,P,96,2,3,-52,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +4,4,23791,4,1,7,4,48,3.2,-0.33,65,Y,-0.46,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,919.999974,g 700+,i 820+,0.9965257,3.2 +7,7,23794,8,1,7,3,40,3.2,0.56,70,Y,0.37,P,2,P,94,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,5,23801,5,1,7,1,39,3.2,-0.18,69,Y,-0.14,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,6,23812,3,2,7,4,36,3.2,-0.54,69,Y,0.14,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,4,23813,3,1,7,1,39,3.2,-0.76,69,Y,-0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +1,4,23825,1,2,7,2,32,3.2,-2.28,68,Y,-0.46,P,2,P,96,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,8,23826,9,1,7,4,36.5,3.2,0.9,53,Y,0.7,P,7,P,94,1,2,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.4210345,g 700+,g 700-760,0.9965257,3.2 +8,8,23828,9,2,7,3,40,3.2,0.87,69,Y,0.63,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,4,23879,4,2,7,4,39,3.2,-0.26,62,Y,-0.37,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,8,23893,7,1,7,3,39,3.2,0.41,62,Y,0.68,P,7,P,94,1,1,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,4,23913,5,2,7,3,30.5,3.2,-0.13,68,Y,-0.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +4,7,23925,4,1,7,3,36,3.2,-0.34,69,Y,0.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,10,23926,10,2,7,1,40,3.2,1.73,68,Y,1.7,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,9,23930,9,1,7,3,44,3.2,1.16,65,Y,1.29,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +9,3,23933,9,1,4,5,42,3.2,1.39,59,Y,-0.58,P,7,P,94,1,,-52,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.263136,g 700+,i 820+,0.9965257,3.2 +4,4,23957,4,2,2,1,35,3.2,-0.34,67,Y,-0.44,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,8,23978,8,1,7,2,35,3.2,0.67,62,Y,0.72,P,2,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,6,24012,4,1,7,1,43,3.2,-0.45,66,Y,0.11,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +5,5,24016,5,2,7,4,36,3.2,-0.19,66,Y,-0.17,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,8,24050,8,2,7,1,48,3.2,0.76,67,Y,0.75,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,919.999974,g 700+,i 820+,0.9965257,3.2 +,,24053,,2,2,1,37,3.2,,69,Y,,F,7,F,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,1,24097,1,2,7,1,36,3.2,-1.78,53,Y,-1.86,P,7,P,93,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,7,24105,5,1,7,1,41,3.2,0.01,66,Y,0.34,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +1,1,24111,1,2,7,2,31,3.2,-2.02,67,Y,-1.96,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,4,24119,5,1,4,3,40,3.2,-0.03,68,Y,-0.34,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,9,24127,8,2,7,1,44,3.2,0.83,69,Y,1.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +3,7,24144,3,2,7,3,44,3.2,-0.57,64,Y,0.28,P,2,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,856.842082,g 700+,i 820+,0.9965257,3.2 +7,7,24162,7,2,2,3,31,3.2,0.4,68,Y,0.37,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +8,5,24182,8,2,7,1,39,3.2,0.65,59,Y,-0.17,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +6,4,24183,6,2,7,3,34,3.2,0.24,66,Y,-0.32,P,2,P,96,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,24242,6,2,7,3,45,3.2,0.17,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,872.631555,g 700+,i 820+,0.9965257,3.2 +9,8,24246,9,2,7,1,44,3.2,1.05,67,Y,0.76,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +7,8,24250,8,1,7,2,32,3.2,0.52,68,Y,0.59,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +6,10,24254,6,1,7,4,37,3.2,0.12,69,Y,1.63,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,5,24273,7,1,7,1,36,3.2,0.53,68,Y,-0.2,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,2,24275,3,2,6,5,37,3.2,-0.73,69,Y,-1.08,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,8,24295,8,1,7,3,35,3.2,0.53,68,Y,0.63,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,3,24315,5,2,7,5,41,3.2,-0.08,66,Y,-0.61,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,6,24335,5,2,7,3,36,3.2,-0.05,69,Y,0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,3,24343,5,2,7,1,35,3.2,0.04,64,Y,-0.69,P,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,1,24346,3,2,7,3,31,3.2,-0.66,67,Y,-1.36,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +10,9,24377,10,2,7,3,42,3.2,1.52,69,Y,1.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +3,4,24381,3,2,7,3,41.5,3.2,-0.58,69,Y,-0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.3683995,g 700+,h 760-820,0.9965257,3.2 +8,7,24387,8,2,7,3,34.5,3.2,0.62,65,Y,0.53,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.8420885,g 700+,g 700-760,0.9965257,3.2 +6,6,24389,7,1,3,3,36,3.2,0.26,59,Y,0.12,P,2,P,95,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,6,24404,6,1,7,3,38,3.2,0.01,51,Y,0.25,P,7,P,95,2,4,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,9,24425,9,1,3,5,41,3.2,1,68,Y,1.09,P,2,P,96,1,3,-66,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,5,24439,5,2,7,3,30.5,3.2,-0.15,69,Y,-0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.6841965,f 640-700,f 640-700,0.9965257,3.2 +5,6,24441,5,2,7,4,38,3.2,-0.01,66,Y,0.04,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,7,24444,7,2,6,4,37,3.2,0.49,69,Y,0.5,P,2,P,94,1,4,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +1,2,24471,2,1,7,3,38,3.2,-1.13,51,Y,-1.03,P,2,P,94,1,2,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,5,24482,6,1,7,1,45,3.2,0.14,68,Y,-0.08,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +10,10,24485,10,1,5,3,38,3.2,2.25,61,Y,2.61,P,2,P,95,2,3,-59,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +7,8,24488,7,2,7,4,46,3.2,0.5,66,Y,0.72,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,888.421028,g 700+,i 820+,0.9965257,3.2 +,,24505,,2,7,4,38.5,3.2,,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.9999805,g 700+,h 760-820,0.9965257,3.2 +5,3,24512,5,1,7,3,28,3.2,-0.05,62,Y,-0.57,P,2,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +4,8,24536,4,1,7,2,32,3.2,-0.32,69,Y,0.68,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,9,24542,10,2,7,1,38,3.2,1.8,61,Y,1.26,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,3,24553,3,2,7,3,33,3.2,-0.69,69,Y,-0.69,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +1,1,24609,1,2,7,2,31,3.2,-1.45,66,Y,-1.72,F,7,F,95,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +9,10,24618,9,2,7,2,31,3.2,1.16,68,Y,1.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,7,24624,5,1,7,4,39,3.2,-0.17,69,Y,0.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +,,24646,1,2,7,1,38,3.2,-1.29,67,X,,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,4,24657,4,2,7,3,40,3.2,-0.26,68,Y,-0.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,3,24671,1,1,7,3,36,3.2,-1.34,68,Y,-0.66,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,3,24678,3,2,4,3,28,3.2,-0.83,68,Y,-0.78,F,7,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,604.210514,e 580-640,e 580-640,0.9965257,3.2 +2,2,24696,3,1,7,3,35,3.2,-0.74,67,Y,-1.18,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +,,24728,,2,7,1,41,3.2,,68,Y,,F,7,F,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +7,7,24803,7,2,7,1,36,3.2,0.47,67,Y,0.3,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,9,24813,9,1,7,3,36,3.2,1.08,67,Y,1.09,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,10,24819,9,2,7,3,36,3.2,1.11,66,Y,1.69,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +,,24827,5,2,7,1,37,3.2,-0.08,50,Y,,F,7,P,96,1,4,-43,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,9,24830,8,2,7,3,40,3.2,0.7,64,Y,1.17,P,2,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,4,24832,2,1,7,3,38,3.2,-1.04,69,Y,-0.42,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +6,7,24835,6,2,7,1,46,3.2,0.12,68,Y,0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,888.421028,g 700+,i 820+,0.9965257,3.2 +2,3,24874,3,1,2,4,39,3.2,-0.76,69,Y,-0.71,F,7,P,95,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,3,24891,5,2,7,2,33,3.2,-0.07,63,Y,-0.68,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,8,24904,7,1,7,2,32.5,3.2,0.4,49,Y,0.86,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,675.2631425,f 640-700,f 640-700,0.9965257,3.2 +7,8,24916,7,2,7,3,35,3.2,0.43,68,Y,0.75,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,7,24934,6,1,7,4,34,3.2,0.23,69,Y,0.42,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,24949,,1,7,5,43,3.2,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,841.052609,g 700+,i 820+,0.9965257,3.2 +8,7,24956,8,2,7,1,45,3.2,0.78,69,Y,0.54,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +1,1,24970,1,2,4,1,34,3.2,-1.6,64,Y,-1.79,F,7,F,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,2,24987,3,1,7,3,40,3.2,-0.58,69,Y,-1.09,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +5,8,25018,5,1,7,3,34,3.2,-0.04,64,Y,0.79,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,6,25023,8,1,7,4,42,3.2,0.66,69,Y,0.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +4,2,25037,4,1,7,1,34,3.2,-0.35,67,Y,-0.92,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,8,25054,8,2,7,4,37,3.2,0.71,68,Y,0.55,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +7,5,25060,7,2,7,2,36,3.2,0.29,68,Y,-0.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,10,25064,9,2,7,4,39.5,3.2,1.24,65,Y,1.41,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.7894535,g 700+,h 760-820,0.9965257,3.2 +7,8,25079,7,1,7,1,34,3.2,0.34,69,Y,0.67,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +5,4,25083,5,1,7,5,47,3.2,-0.15,69,Y,-0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,904.210501,g 700+,i 820+,0.9965257,3.2 +6,5,25084,6,2,7,3,31,3.2,0.14,61,Y,-0.07,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +9,7,25089,9,2,7,4,32,3.2,1.23,63,Y,0.39,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,4,25096,10,2,7,4,44,3.2,2.33,57,Y,-0.49,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +10,9,25116,10,1,7,3,35,3.2,1.44,67,Y,1.28,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,9,25158,9,2,7,3,43,3.2,1.1,61,Y,1.23,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +10,6,25175,10,2,7,1,38,3.2,1.65,64,Y,0.26,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,9,25176,9,2,7,3,36,3.2,0.94,69,Y,0.98,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +8,5,25195,8,1,7,3,41,3.2,0.77,68,Y,-0.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +2,3,25203,3,1,7,3,37,3.2,-0.83,65,Y,-0.77,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +10,9,25227,10,2,7,4,39,3.2,1.31,66,Y,0.9,P,2,P,95,2,5,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +3,5,25245,3,1,7,1,35,3.2,-0.63,61,Y,-0.19,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,3,25272,3,1,7,4,39,3.2,-0.54,59,Y,-0.53,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,8,25298,8,1,7,3,31,3.2,0.65,69,Y,0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +7,7,25301,7,2,7,1,37,3.2,0.42,68,Y,0.31,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,25327,4,1,2,3,31,3.2,-0.51,68,Y,,P,7,P,95,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +8,8,25337,8,1,7,1,42,3.2,0.78,70,Y,0.64,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +,,25355,,1,7,4,42,3.2,,65,Y,,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.263136,g 700+,i 820+,0.9965257,3.2 +7,7,25381,7,1,7,4,39,3.2,0.37,67,Y,0.31,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +8,8,25408,9,2,7,3,36,3.2,0.85,69,Y,0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +7,5,25416,7,2,7,1,36,3.2,0.51,69,Y,-0.18,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,2,25421,2,1,7,1,37,3.2,-1.15,69,Y,-0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +6,7,25426,6,2,7,4,38,3.2,0.17,68,Y,0.29,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,4,25428,5,1,7,4,43,3.2,-0.22,56,Y,-0.51,P,2,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +6,6,25436,7,1,7,3,36,3.2,0.28,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,7,25443,6,1,7,4,40,3.2,0.23,56,Y,0.31,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,793.68419,g 700+,h 760-820,0.9965257,3.2 +8,9,25448,8,2,7,4,46,3.2,0.83,67,Y,1.19,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,888.421028,g 700+,i 820+,0.9965257,3.2 +9,9,25452,9,2,7,3,37,3.2,1.15,69,Y,1.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +8,6,25494,9,2,7,3,36,3.2,0.83,69,Y,0.04,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,2,25505,4,1,7,4,41,3.2,-0.38,69,Y,-1.11,F,2,P,96,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +,,25507,,1,7,6,34,3.2,,33,Y,,P,7,P,94,1,2,-26,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,3,25535,4,2,2,3,35,3.2,-0.46,65,Y,-0.58,P,7,P,94,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,4,25540,4,1,7,1,42,3.2,-0.39,69,Y,-0.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +9,8,25553,9,1,7,1,41,3.2,0.92,66,Y,0.87,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +4,4,25566,4,2,7,4,33,3.2,-0.42,67,Y,-0.5,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.157879,f 640-700,f 640-700,0.9965257,3.2 +4,2,25571,4,2,6,1,32,3.2,-0.4,67,Y,-1.06,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,5,25602,7,1,7,3,32,3.2,0.36,61,Y,-0.11,P,7,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,6,25610,9,2,7,3,35,3.2,0.94,62,Y,0.2,F,7,F,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,9,25633,7,1,7,3,38,3.2,0.51,69,Y,1.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,8,25664,8,1,7,1,39,3.2,0.68,68,Y,0.66,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +2,2,25689,3,1,7,4,30,3.2,-0.78,66,Y,-1.04,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,635.78946,e 580-640,e 580-640,0.9965257,3.2 +5,6,25721,5,1,7,3,38,3.2,-0.07,65,Y,0.01,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +,,25722,,1,7,1,41,3.2,,47,Y,0.92,P,7,P,95,2,3,-40,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +9,9,25723,9,2,7,4,48,3.2,0.93,65,Y,1.16,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,919.999974,g 700+,i 820+,0.9965257,3.2 +7,8,25730,7,2,7,3,41,3.2,0.49,65,Y,0.58,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +,,25754,9,1,7,1,47,3.2,1.17,68,X,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +8,10,25762,8,2,7,1,38,3.2,0.71,69,Y,1.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +5,4,25794,5,2,4,4,29.5,3.2,-0.02,67,Y,-0.45,P,7,P,94,1,1,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,627.8947235,e 580-640,e 580-640,0.9965257,3.2 +3,4,25807,3,2,7,3,27,3.2,-0.7,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,588.421041,e 580-640,e 580-640,0.9965257,3.2 +3,4,25812,4,1,7,3,33.5,3.2,-0.51,69,Y,-0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +3,3,25834,3,2,6,3,31,3.2,-0.64,69,Y,-0.56,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +1,1,25837,1,1,2,1,35,3.2,-1.93,68,Y,-1.66,F,7,F,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +8,7,25844,8,2,7,3,37.5,3.2,0.6,70,Y,0.4,F,7,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,754.2105075,g 700+,g 700-760,0.9965257,3.2 +6,6,25855,6,2,7,5,44,3.2,0.17,62,Y,0.24,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +3,1,25857,3,1,4,1,32,3.2,-0.69,69,Y,-1.43,F,7,P,95,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +8,8,25864,8,2,7,3,31,3.2,0.75,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,3,25880,6,2,7,3,31.5,3.2,0.04,60,Y,-0.67,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +9,8,25881,9,2,7,3,27.3,3.2,1.09,68,Y,0.62,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.1578829,e 580-640,e 580-640,0.9965257,3.2 +,,25886,2,1,3,5,32,3.2,-0.85,69,Y,,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,2,25920,2,2,7,3,38,3.2,-1.04,65,Y,-0.98,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +4,3,25939,4,1,7,1,37,3.2,-0.41,69,Y,-0.55,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,2,25946,2,1,7,3,35,3.2,-0.96,69,Y,-0.98,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,7,25956,7,2,7,3,31,3.2,0.31,69,Y,0.47,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +8,9,25960,8,1,7,3,39.5,3.2,0.76,64,Y,1.17,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.7894535,g 700+,h 760-820,0.9965257,3.2 +4,4,25987,4,1,7,3,33,3.2,-0.39,69,Y,-0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +9,8,26003,9,1,7,3,34,3.2,0.91,68,Y,0.61,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,1,26014,2,2,7,4,36.5,3.2,-0.98,67,Y,-1.47,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.4210345,g 700+,g 700-760,0.9965257,3.2 +2,3,26022,3,2,7,3,43,3.2,-0.79,70,Y,-0.77,P,7,P,94,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,841.052609,g 700+,i 820+,0.9965257,3.2 +9,10,26052,9,2,7,4,35,3.2,1.15,69,Y,1.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,714.736825,g 700+,g 700-760,0.9965257,3.2 +3,3,26060,3,2,7,1,41,3.2,-0.7,69,Y,-0.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,4,26065,5,2,7,1,45,3.2,-0.06,68,Y,-0.47,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +1,10,26069,1,2,6,1,32,3.2,-1.5,54,Y,1.68,F,7,F,95,2,3,-47,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +2,3,26078,2,1,5,3,29,3.2,-0.89,69,Y,-0.63,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +1,2,26101,1,1,2,1,39,3.2,-1.8,68,Y,-0.97,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,5,26107,7,1,7,4,32,3.2,0.45,52,Y,-0.14,F,7,P,96,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,667.368406,f 640-700,f 640-700,0.9965257,3.2 +9,6,26114,9,,7,1,28,3.2,1.21,65,Y,0.27,P,7,P,94,1,,-58,,0,,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,604.210514,e 580-640,e 580-640,0.9965257,3.2 +8,9,26125,8,1,7,3,36,3.2,0.65,64,Y,0.89,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,6,26128,5,2,7,1,43,3.2,-0.13,69,Y,0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +,,26158,6,2,7,4,36,3.2,0.22,68,X,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +6,7,26166,7,1,4,3,35,3.2,0.26,62,Y,0.4,P,7,P,94,1,3,-55,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,8,26181,5,2,7,3,32,3.2,-0.11,67,Y,0.82,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +10,10,26182,10,1,7,3,36,3.2,1.78,51,Y,1.38,P,7,P,95,2,3,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +3,3,26192,3,1,7,1,31,3.2,-0.6,68,Y,-0.66,F,7,P,96,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +8,9,26198,8,1,7,1,37,3.2,0.77,52,Y,0.97,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,2,26202,2,2,7,4,43,3.2,-1.07,68,Y,-0.97,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.052609,g 700+,i 820+,0.9965257,3.2 +1,3,26211,1,1,7,3,29,3.2,-1.37,64,Y,-0.6,P,2,P,96,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.999987,e 580-640,e 580-640,0.9965257,3.2 +3,4,26233,3,2,7,2,31,3.2,-0.65,60,Y,-0.36,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.578933,f 640-700,f 640-700,0.9965257,3.2 +6,8,26265,6,1,7,3,37,3.2,0.23,69,Y,0.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,9,26280,9,2,7,4,34,3.2,0.87,65,Y,1.26,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +,,26281,,1,7,1,42,3.2,,62,Y,,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +3,4,26301,3,1,7,4,41,3.2,-0.65,66,Y,-0.36,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +2,5,26310,3,2,7,3,33,3.2,-0.7,69,Y,-0.05,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.157879,f 640-700,f 640-700,0.9965257,3.2 +7,6,26312,7,2,7,3,39,3.2,0.36,51,Y,0.24,P,7,P,95,2,4,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.894717,g 700+,h 760-820,0.9965257,3.2 +,,26325,,2,7,4,34,3.2,,68,Y,,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +1,1,26327,2,1,7,3,35,3.2,-1.15,62,Y,-1.58,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +1,1,26333,2,1,7,3,40,3.2,-1.16,69,Y,-1.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +1,3,26349,2,2,7,1,35,3.2,-1.19,69,Y,-0.66,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +6,4,26351,6,2,7,2,31.5,3.2,0.05,69,Y,-0.55,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +5,3,26354,5,2,7,1,39,3.2,-0.14,66,Y,-0.7,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +7,5,26361,7,2,7,1,35,3.2,0.38,56,Y,-0.11,P,2,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,10,26382,9,2,7,4,44,3.2,1.06,68,Y,1.39,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +7,8,26387,8,2,7,1,44,3.2,0.61,59,Y,0.81,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +9,8,26408,9,2,7,1,43,3.2,1.14,68,Y,0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,841.052609,g 700+,i 820+,0.9965257,3.2 +4,7,26421,4,2,7,4,34,3.2,-0.31,68,Y,0.34,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +8,8,26457,8,2,7,3,36,3.2,0.77,65,Y,0.67,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +4,2,26469,4,2,7,3,37,3.2,-0.32,69,Y,-0.9,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,4,26500,3,2,7,3,35,3.2,-0.7,66,Y,-0.4,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,10,26504,9,1,7,3,37,3.2,1.04,65,Y,2.34,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,3,26516,3,1,7,2,34,3.2,-0.62,69,Y,-0.6,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,698.947352,f 640-700,f 640-700,0.9965257,3.2 +3,3,26518,4,1,7,3,36,3.2,-0.48,69,Y,-0.65,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +1,1,26542,1,2,7,3,42,3.2,-1.64,,Y,-1.38,P,2,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +5,3,26558,5,2,7,3,35,3.2,-0.1,64,Y,-0.89,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +4,7,26561,5,2,7,3,31.5,3.2,-0.24,62,Y,0.42,P,2,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +9,9,26571,9,1,7,3,40,3.2,1.11,66,Y,1.14,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +6,3,26575,7,1,7,3,35,3.2,0.27,67,Y,-0.78,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +10,10,26581,10,1,7,2,40,3.2,1.99,61,Y,1.95,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,793.68419,g 700+,h 760-820,0.9965257,3.2 +7,6,26588,7,1,7,4,39,3.2,0.48,69,Y,0.1,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,777.894717,g 700+,h 760-820,0.9965257,3.2 +,,26596,,2,7,5,44,3.2,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +1,2,26603,2,1,6,1,31,3.2,-1.26,67,Y,-1.28,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,4,26604,2,2,6,4,29,3.2,-0.89,66,Y,-0.42,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,619.999987,e 580-640,e 580-640,0.9965257,3.2 +1,1,26677,1,2,3,5,38,3.2,-1.38,69,Y,-1.58,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,9,26695,8,2,7,3,42,3.2,0.75,69,Y,1.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,825.263136,g 700+,i 820+,0.9965257,3.2 +4,3,26701,4,2,6,5,40,3.2,-0.3,68,Y,-0.69,P,7,P,94,1,5,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +2,1,26711,2,2,7,4,27.7,3.2,-1.1,60,Y,-1.39,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,599.4736721,e 580-640,e 580-640,0.9965257,3.2 +5,7,26712,6,2,7,2,27,3.2,0.02,69,Y,0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,588.421041,e 580-640,e 580-640,0.9965257,3.2 +7,7,26717,8,1,7,3,38,3.2,0.56,68,Y,0.4,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +8,8,26731,8,2,7,1,32,3.2,0.86,68,Y,0.74,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +5,3,26748,6,2,7,2,35,3.2,-0.01,,Y,-0.64,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +7,7,26780,7,1,7,4,34,3.2,0.5,59,Y,0.4,P,7,P,94,1,,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,698.947352,f 640-700,f 640-700,0.9965257,3.2 +4,4,26784,5,2,7,4,41,3.2,-0.21,63,Y,-0.45,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,809.473663,g 700+,h 760-820,0.9965257,3.2 +5,6,26803,5,1,7,3,33.5,3.2,-0.03,54,Y,0.22,P,7,P,94,2,4,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526155,f 640-700,f 640-700,0.9965257,3.2 +3,5,26820,3,2,7,1,41,3.2,-0.57,68,Y,-0.24,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.473663,g 700+,h 760-820,0.9965257,3.2 +6,5,26821,7,1,7,1,31,3.2,0.32,68,Y,-0.22,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,2,26826,2,1,7,1,37,3.2,-1.12,66,Y,-1.32,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +2,1,26873,2,1,3,3,31,3.2,-1.07,68,Y,-1.69,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +4,4,26876,4,1,7,1,31,3.2,-0.34,68,Y,-0.51,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.578933,f 640-700,f 640-700,0.9965257,3.2 +5,6,26883,6,2,7,2,33,3.2,0.02,63,Y,0.16,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,4,26921,2,1,7,4,37,3.2,-0.85,69,Y,-0.37,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,3,26922,4,1,7,3,32,3.2,-0.44,69,Y,-0.69,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.368406,f 640-700,f 640-700,0.9965257,3.2 +6,4,26925,6,2,7,5,44,3.2,0.31,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,856.842082,g 700+,i 820+,0.9965257,3.2 +6,8,26968,7,2,7,3,36,3.2,0.27,69,Y,0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +2,2,26975,2,1,4,1,25,3.2,-0.88,52,Y,-1.17,P,2,P,95,1,3,-50,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,556.842095,d 520-580,d 520-580,0.9965257,3.2 +4,5,27005,5,1,7,3,37,3.2,-0.24,68,Y,-0.25,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +9,6,27036,9,1,2,3,35,3.2,1.19,66,Y,0.14,P,7,P,94,1,1,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,714.736825,g 700+,g 700-760,0.9965257,3.2 +1,5,27052,1,1,7,1,33,3.2,-1.5,41,Y,-0.24,P,7,P,94,1,3,-34,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +2,2,27076,2,1,7,1,38,3.2,-1.09,57,Y,-0.91,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.105244,g 700+,h 760-820,0.9965257,3.2 +3,1,27105,3,2,7,3,37,3.2,-0.67,68,Y,-1.33,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +3,4,27126,3,2,7,3,24,3.2,-0.56,50,Y,-0.5,F,6,F,95,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,541.052622,d 520-580,d 520-580,0.9965257,3.2 +4,5,27165,5,1,7,1,44,3.2,-0.17,51,Y,-0.05,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +8,3,27177,8,1,3,5,38,3.2,0.79,70,Y,-0.84,P,7,P,94,1,5,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,9,27205,9,2,7,3,36,3.2,1.26,58,Y,1.11,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,6,27225,5,2,7,1,42,3.2,0.02,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,825.263136,g 700+,i 820+,0.9965257,3.2 +5,5,27258,5,2,7,4,44,3.2,-0.14,69,Y,-0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,856.842082,g 700+,i 820+,0.9965257,3.2 +2,1,27268,2,2,6,5,39,3.2,-1.08,68,Y,-1.44,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,5,27284,5,1,7,1,37,3.2,-0.08,67,Y,-0.12,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.315771,g 700+,g 700-760,0.9965257,3.2 +4,3,27286,4,2,7,1,36,3.2,-0.38,66,Y,-0.88,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,730.526298,g 700+,g 700-760,0.9965257,3.2 +9,7,27299,9,2,7,1,39,3.2,1.12,61,Y,0.52,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.894717,g 700+,h 760-820,0.9965257,3.2 +5,5,27311,5,1,7,1,45,3.2,-0.04,70,Y,-0.16,P,2,P,94,1,5,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,872.631555,g 700+,i 820+,0.9965257,3.2 +4,7,27312,4,1,7,3,31.5,3.2,-0.34,68,Y,0.35,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736695,f 640-700,f 640-700,0.9965257,3.2 +2,2,27325,2,1,7,5,40,3.2,-1.03,67,Y,-0.93,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,793.68419,g 700+,h 760-820,0.9965257,3.2 +4,4,27344,5,2,7,1,32,3.2,-0.2,68,Y,-0.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.368406,f 640-700,f 640-700,0.9965257,3.2 +7,6,27345,7,2,7,4,31,3.2,0.5,69,Y,0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,651.578933,f 640-700,f 640-700,0.9965257,3.2 +10,10,27352,10,2,7,1,34,3.2,1.85,67,Y,1.6,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.947352,f 640-700,f 640-700,0.9965257,3.2 +2,1,27353,3,1,7,3,38,3.2,-0.84,70,Y,-1.46,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.105244,g 700+,h 760-820,0.9965257,3.2 +9,9,27360,9,2,7,3,37,3.2,1.14,65,Y,0.97,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.315771,g 700+,g 700-760,0.9965257,3.2 +,,27368,,1,7,,41,3.2,1.64,66,Y,1.62,P,7,P,94,2,2,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,809.473663,g 700+,h 760-820,0.9965257,3.2 +8,7,27378,8,1,7,3,36,3.2,0.71,64,Y,0.32,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,730.526298,g 700+,g 700-760,0.9965257,3.2 +10,9,27379,10,2,7,3,40,3.2,1.85,69,Y,1.02,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,793.68419,g 700+,h 760-820,0.9965257,3.2 +9,10,27384,9,2,7,2,35,3.2,1.16,63,Y,1.48,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +5,8,27395,5,2,7,1,33,3.2,-0.04,67,Y,0.67,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.157879,f 640-700,f 640-700,0.9965257,3.2 +3,4,27411,4,2,7,1,44,3.2,-0.45,68,Y,-0.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,856.842082,g 700+,i 820+,0.9965257,3.2 +1,2,27442,2,2,7,1,47,3.2,-1.15,68,Y,-0.89,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,904.210501,g 700+,i 820+,0.9965257,3.2 +1,2,27448,2,1,7,3,31,3.2,-1.2,69,Y,-1.23,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.578933,f 640-700,f 640-700,0.9965257,3.2 +2,2,27463,2,1,8,3,29.5,3.2,-0.96,68,Y,-0.93,P,7,P,94,1,2,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,627.8947235,e 580-640,e 580-640,0.9965257,3.2 +8,7,27471,8,2,7,3,41,3.2,0.74,69,Y,0.43,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.473663,g 700+,h 760-820,0.9965257,3.2 +9,9,27472,9,2,7,2,35,3.2,1.21,69,Y,1.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,714.736825,g 700+,g 700-760,0.9965257,3.2 +9,3,27477,9,2,8,4,36,3.2,1.23,67,Y,-0.53,P,7,P,94,1,3,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,730.526298,g 700+,g 700-760,0.9965257,3.2 +5,5,14,5,1,7,1,40,2.4,-0.05,56,Y,-0.03,F,7,P,95,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,713.68419,g 700+,g 700-760,0.9432926,2.4 +3,1,21,3,1,7,3,28,2.4,-0.59,53,Y,-1.49,P,7,P,95,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,524.210514,d 520-580,d 520-580,0.9432926,2.4 +9,9,24,9,2,7,6,32.5,2.4,1.04,66,Y,1.09,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,595.2631425,e 580-640,e 580-640,0.9432926,2.4 +3,5,217,4,2,7,2,37,2.4,-0.51,68,Y,-0.27,P,7,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,666.315771,f 640-700,f 640-700,0.9432926,2.4 +2,3,232,2,1,7,3,37,2.4,-1.1,66,Y,-0.73,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +10,8,528,10,2,7,5,44,2.4,1.65,57,Y,0.64,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,776.842082,g 700+,h 760-820,0.9432926,2.4 +7,4,695,7,2,7,2,32.5,2.4,0.3,66,Y,-0.48,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,595.2631425,e 580-640,e 580-640,0.9432926,2.4 +9,10,850,9,2,7,1,35,2.4,1,59,Y,1.76,P,2,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,634.736825,e 580-640,e 580-640,0.9432926,2.4 +3,3,908,3,2,3,1,32,2.4,-0.53,63,Y,-0.7,F,7,P,96,1,1,-56,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,587.368406,e 580-640,e 580-640,0.9432926,2.4 +8,10,958,8,2,7,3,32.5,2.4,0.67,64,Y,1.57,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,595.2631425,e 580-640,e 580-640,0.9432926,2.4 +4,4,960,4,2,7,4,48,2.4,-0.45,61,Y,-0.44,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,839.999974,g 700+,i 820+,0.9432926,2.4 +2,1,1131,2,1,8,3,28,2.4,-0.92,67,Y,-1.35,F,7,P,95,1,2,-60,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,524.210514,d 520-580,d 520-580,0.9432926,2.4 +7,7,1385,7,2,7,3,41,2.4,0.32,66,Y,0.34,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +8,8,1439,8,2,7,3,34,2.4,0.77,69,Y,0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +8,7,1551,8,2,7,3,34,2.4,0.65,67,Y,0.41,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +2,4,1665,2,2,3,1,43,2.4,-0.86,66,Y,-0.31,P,7,P,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,761.052609,g 700+,h 760-820,0.9432926,2.4 +1,1,1744,2,1,3,3,25,2.4,-1.29,68,Y,-1.52,F,2,F,95,1,4,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,476.842095,c 460-520,c 460-520,0.9432926,2.4 +5,5,2024,5,2,7,2,34,2.4,-0.1,65,Y,-0.21,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,618.947352,e 580-640,e 580-640,0.9432926,2.4 +7,6,2053,7,2,7,3,39,2.4,0.51,67,Y,0.24,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +2,2,2100,2,2,3,1,36,2.4,-1,68,Y,-1.05,P,2,P,95,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,650.526298,f 640-700,f 640-700,0.9432926,2.4 +1,1,2123,1,2,3,1,32,2.4,-1.76,65,Y,-2.44,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,587.368406,e 580-640,e 580-640,0.9432926,2.4 +9,8,2178,9,2,3,6,20,2.4,0.89,67,Y,0.58,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,397.89473,a under 400,a under 400,0.9432926,2.4 +1,1,2192,2,1,8,1,27,2.4,-1.28,55,Y,-1.74,P,2,P,95,1,2,-53,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,508.421041,c 460-520,c 460-520,0.9432926,2.4 +2,1,2299,2,1,3,1,28,2.4,-1.08,68,Y,-1.51,P,7,P,94,1,,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,524.210514,d 520-580,d 520-580,0.9432926,2.4 +,,2322,,1,7,,33,2.4,-0.24,63,Y,-1.6,P,2,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,603.157879,e 580-640,e 580-640,0.9432926,2.4 +4,5,2395,4,2,7,3,31,2.4,-0.31,68,Y,-0.27,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,571.578933,d 520-580,d 520-580,0.9432926,2.4 +5,7,2508,5,2,7,2,27.5,2.4,-0.1,59,Y,0.21,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,516.3157775,c 460-520,c 460-520,0.9432926,2.4 +8,8,2571,8,2,7,3,48,2.4,0.57,56,Y,0.75,P,2,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.999974,g 700+,i 820+,0.9432926,2.4 +1,1,2882,1,2,6,1,34,2.4,-1.38,62,Y,-1.52,F,7,P,95,1,2,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,618.947352,e 580-640,e 580-640,0.9432926,2.4 +6,5,2964,6,1,7,5,42,2.4,0.15,67,Y,-0.03,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,745.263136,g 700+,g 700-760,0.9432926,2.4 +5,7,2970,6,2,7,1,31,2.4,0.05,41,Y,0.36,P,7,P,94,1,3,-34,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,571.578933,d 520-580,d 520-580,0.9432926,2.4 +8,5,3047,8,2,7,4,42,2.4,0.79,68,Y,0,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,745.263136,g 700+,g 700-760,0.9432926,2.4 +4,3,3058,4,1,7,4,42,2.4,-0.25,67,Y,-0.59,P,2,P,95,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,745.263136,g 700+,g 700-760,0.9432926,2.4 +6,4,3078,6,2,7,4,29,2.4,0.07,39,Y,-0.31,P,2,P,95,2,2,-37,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,539.999987,d 520-580,d 520-580,0.9432926,2.4 +2,3,3217,2,2,7,3,27,2.4,-1.11,49,Y,-0.88,F,7,F,95,2,4,-42,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,508.421041,c 460-520,c 460-520,0.9432926,2.4 +,,3363,,1,3,1,32,2.4,,68,Y,-1.6,F,2,F,95,1,4,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,587.368406,e 580-640,e 580-640,0.9432926,2.4 +4,3,3368,4,2,6,3,29,2.4,-0.41,68,Y,-0.71,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,539.999987,d 520-580,d 520-580,0.9432926,2.4 +,,3450,,2,7,,34,2.4,1.43,65,Y,1.12,P,7,P,94,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,618.947352,e 580-640,e 580-640,0.9432926,2.4 +5,4,3465,5,1,7,1,34,2.4,-0.15,47,Y,-0.35,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,618.947352,e 580-640,e 580-640,0.9432926,2.4 +2,4,3495,3,2,3,3,35,2.4,-0.71,68,Y,-0.56,P,2,P,94,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +2,5,3547,2,2,7,6,22,2.4,-0.9,67,Y,-0.28,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,429.473676,b 400-460,b 400-460,0.9432926,2.4 +,,3556,6,2,7,6,30,2.4,0.24,66,X,,F,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,555.78946,d 520-580,d 520-580,0.9432926,2.4 +9,7,3611,9,1,7,4,40,2.4,1.16,66,Y,0.45,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,713.68419,g 700+,g 700-760,0.9432926,2.4 +10,9,3735,10,2,7,4,35,2.4,1.57,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,634.736825,e 580-640,e 580-640,0.9432926,2.4 +4,3,3753,4,1,7,3,33,2.4,-0.27,47,Y,-0.86,P,7,P,94,1,4,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +7,9,3843,7,2,8,3,41,2.4,0.34,59,Y,1.11,P,7,P,95,2,2,-52,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +4,3,3876,4,1,7,3,36,2.4,-0.37,60,Y,-0.63,P,2,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +2,2,3923,2,1,3,1,32,2.4,-1.01,63,Y,-1.2,P,2,P,94,2,3,-61,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,587.368406,e 580-640,e 580-640,0.9432926,2.4 +9,7,3973,9,2,4,6,31,2.4,1.05,64,Y,0.48,P,7,P,94,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,571.578933,d 520-580,d 520-580,0.9432926,2.4 +,,4023,,2,7,,32,2.4,0.99,66,Y,0.47,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,587.368406,e 580-640,e 580-640,0.9432926,2.4 +3,2,4044,3,2,7,3,39,2.4,-0.64,66,Y,-0.92,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +3,2,4203,4,2,7,2,36,2.4,-0.5,69,Y,-1.17,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,650.526298,f 640-700,f 640-700,0.9432926,2.4 +4,4,4367,4,2,7,3,42,2.4,-0.29,66,Y,-0.3,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,745.263136,g 700+,g 700-760,0.9432926,2.4 +7,7,4447,7,2,7,3,36,2.4,0.39,63,Y,0.29,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +8,7,4480,8,2,8,3,35,2.4,0.83,68,Y,0.27,P,7,P,94,1,5,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +5,3,4483,5,2,6,2,28.3,2.4,-0.1,67,Y,-0.69,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,528.9473559,d 520-580,d 520-580,0.9432926,2.4 +7,8,4686,7,2,7,3,40,2.4,0.49,61,Y,0.63,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +2,3,4693,3,1,5,3,33,2.4,-0.75,65,Y,-0.86,F,7,P,95,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +1,1,4749,1,2,7,3,26.5,2.4,-2.31,65,Y,-2.42,F,7,P,96,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,500.5263045,c 460-520,c 460-520,0.9432926,2.4 +,,4851,,1,3,6,26,2.4,,63,Y,,F,7,P,95,1,2,-56,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,492.631568,c 460-520,c 460-520,0.9432926,2.4 +6,6,4878,6,2,7,2,34,2.4,0.19,68,Y,0.11,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,618.947352,e 580-640,e 580-640,0.9432926,2.4 +1,1,4961,2,2,8,6,31,2.4,-1.17,69,Y,-1.74,F,2,F,95,1,4,-67,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,1,571.578933,d 520-580,d 520-580,0.9432926,2.4 +3,2,5117,3,2,7,3,39,2.4,-0.55,68,Y,-1.16,F,2,F,96,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +6,8,5275,6,2,7,3,41,2.4,0.12,64,Y,0.58,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +,,5313,,2,,1,48,2.4,,67,Y,,P,7,P,94,1,3,-60,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.999974,g 700+,i 820+,0.9432926,2.4 +1,1,5347,1,2,3,3,29,2.4,-2.26,69,Y,-1.98,F,7,P,95,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,539.999987,d 520-580,d 520-580,0.9432926,2.4 +5,6,5457,5,1,7,3,41,2.4,-0.02,46,Y,0.23,P,7,P,94,1,5,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +9,6,5485,10,1,7,3,40,2.4,1.27,68,Y,0.13,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +10,5,5514,10,2,7,5,36,2.4,1.93,61,Y,-0.14,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,650.526298,f 640-700,f 640-700,0.9432926,2.4 +7,6,5561,8,2,7,3,35,2.4,0.53,63,Y,0.23,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +9,9,5613,10,1,7,3,38,2.4,1.28,68,Y,1.09,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +6,3,5639,6,2,7,2,33,2.4,0.12,69,Y,-0.76,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,603.157879,e 580-640,e 580-640,0.9432926,2.4 +,,5660,,2,3,1,25,2.4,,64,Y,,F,7,F,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,476.842095,c 460-520,c 460-520,0.9432926,2.4 +4,4,5686,4,2,2,4,26.5,2.4,-0.43,65,Y,-0.36,P,7,P,94,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,500.5263045,c 460-520,c 460-520,0.9432926,2.4 +5,3,5691,6,2,7,3,33,2.4,0,68,Y,-0.68,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +4,2,5692,4,2,7,3,39,2.4,-0.41,61,Y,-1.11,P,2,P,96,2,2,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +8,5,5877,8,2,7,2,35,2.4,0.59,66,Y,-0.21,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,634.736825,e 580-640,e 580-640,0.9432926,2.4 +2,2,5885,2,2,7,4,35,2.4,-0.88,68,Y,-1.1,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,634.736825,e 580-640,e 580-640,0.9432926,2.4 +7,7,6015,7,2,7,3,42,2.4,0.32,61,Y,0.46,P,2,P,96,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,745.263136,g 700+,g 700-760,0.9432926,2.4 +3,7,6024,3,2,7,3,37,2.4,-0.6,64,Y,0.47,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +1,2,6050,2,1,7,2,36,2.4,-1.12,69,Y,-1.09,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,650.526298,f 640-700,f 640-700,0.9432926,2.4 +4,3,6157,5,2,7,3,41.5,2.4,-0.18,52,Y,-0.76,F,7,P,95,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,737.3683995,g 700+,g 700-760,0.9432926,2.4 +7,7,6273,7,1,7,3,40,2.4,0.41,48,Y,0.53,P,2,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +1,1,6347,1,2,3,1,28.3,2.4,-2.18,67,Y,-1.93,F,2,F,94,1,1,-65,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,528.9473559,d 520-580,d 520-580,0.9432926,2.4 +1,1,6392,1,2,7,3,36,2.4,-1.57,68,Y,-1.91,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +9,8,6393,9,1,7,3,41,2.4,0.97,62,Y,0.63,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +1,2,6458,2,2,3,4,32,2.4,-1.17,66,Y,-1.16,P,2,P,94,1,3,-64,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,587.368406,e 580-640,e 580-640,0.9432926,2.4 +4,5,6479,4,2,7,3,31,2.4,-0.28,66,Y,-0.21,P,7,P,94,2,5,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,571.578933,d 520-580,d 520-580,0.9432926,2.4 +2,3,6505,3,1,7,3,37,2.4,-0.76,68,Y,-0.84,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +1,1,6511,1,2,3,4,19,2.4,-1.26,66,Y,-1.91,F,2,F,95,2,3,-64,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,382.105257,a under 400,a under 400,0.9432926,2.4 +6,7,6643,7,2,7,3,33,2.4,0.29,68,Y,0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +10,6,6667,10,2,7,1,38,2.4,1.38,69,Y,0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,682.105244,f 640-700,f 640-700,0.9432926,2.4 +7,8,6673,7,2,7,4,38,2.4,0.5,57,Y,0.68,F,7,P,96,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,682.105244,f 640-700,f 640-700,0.9432926,2.4 +7,8,6714,7,1,3,6,25,2.4,0.45,55,Y,0.74,P,7,P,94,1,3,-48,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,476.842095,c 460-520,c 460-520,0.9432926,2.4 +3,4,6726,4,2,4,2,31,2.4,-0.45,55,Y,-0.44,P,7,P,94,1,4,-48,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,571.578933,d 520-580,d 520-580,0.9432926,2.4 +9,5,6727,9,2,7,3,36,2.4,1.11,66,Y,-0.22,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +1,1,6734,1,1,7,3,31.5,2.4,-2.02,42,Y,-2.53,F,2,F,95,1,4,-40,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,579.4736695,d 520-580,d 520-580,0.9432926,2.4 +1,1,6801,2,2,7,3,39,2.4,-1.13,60,Y,-1.69,F,7,P,95,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +,,6891,3,2,3,3,21.5,2.4,-0.72,56,Y,,P,7,P,94,1,2,-49,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,421.5789395,b 400-460,b 400-460,0.9432926,2.4 +6,3,6892,6,2,3,1,29,2.4,0.14,62,Y,-0.7,P,2,P,95,2,4,-60,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,539.999987,d 520-580,d 520-580,0.9432926,2.4 +1,1,6991,1,2,3,1,41,2.4,-2.45,67,Y,-2.8,P,7,P,94,1,5,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,729.473663,g 700+,g 700-760,0.9432926,2.4 +3,2,7062,4,2,3,6,24,2.4,-0.36,63,Y,-1.17,F,7,F,94,1,2,-56,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,461.052622,c 460-520,c 460-520,0.9432926,2.4 +10,8,7100,10,2,7,4,33,2.4,1.59,28,Y,0.65,F,7,F,95,2,4,-21,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,603.157879,e 580-640,e 580-640,0.9432926,2.4 +,,7141,,2,7,,31,2.4,0.1,64,Y,-0.7,P,7,P,94,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,571.578933,d 520-580,d 520-580,0.9432926,2.4 +2,4,7204,2,1,7,3,35,2.4,-0.92,52,Y,-0.53,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +10,9,7213,10,1,7,2,42,2.4,2.13,41,Y,1.3,P,7,P,94,1,3,-34,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,745.263136,g 700+,g 700-760,0.9432926,2.4 +6,7,7363,6,1,7,1,43.5,2.4,0.13,65,Y,0.49,F,7,F,95,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,768.9473455,g 700+,h 760-820,0.9432926,2.4 +5,4,7434,5,1,3,4,31,2.4,-0.19,65,Y,-0.45,F,7,F,95,2,3,-58,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,571.578933,d 520-580,d 520-580,0.9432926,2.4 +3,2,7435,4,2,2,3,37,2.4,-0.44,68,Y,-1,F,7,F,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +9,10,7461,9,2,7,2,41,2.4,1.05,68,Y,1.48,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,729.473663,g 700+,g 700-760,0.9432926,2.4 +2,2,7478,2,2,7,1,43,2.4,-0.86,60,Y,-0.98,P,2,P,95,2,5,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,761.052609,g 700+,h 760-820,0.9432926,2.4 +9,9,7539,9,2,2,3,38,2.4,1.03,63,Y,1.25,P,7,P,94,1,4,-56,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +1,1,7554,1,1,6,3,38,2.4,-1.75,68,Y,-2.28,F,7,F,95,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +5,3,7566,5,1,7,2,27.5,2.4,-0.16,65,Y,-0.81,F,7,P,95,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,516.3157775,c 460-520,c 460-520,0.9432926,2.4 +2,2,7571,2,2,7,1,29,2.4,-0.98,67,Y,-1.26,P,2,P,95,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,539.999987,d 520-580,d 520-580,0.9432926,2.4 +7,4,7600,7,1,7,3,32,2.4,0.39,69,Y,-0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,587.368406,e 580-640,e 580-640,0.9432926,2.4 +1,1,7608,1,1,3,1,34,2.4,-1.78,69,Y,-1.4,P,2,P,94,1,5,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,618.947352,e 580-640,e 580-640,0.9432926,2.4 +7,7,7617,7,2,7,3,37,2.4,0.43,65,Y,0.3,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +3,1,7625,3,2,6,1,37,2.4,-0.67,52,Y,-1.45,P,7,P,,1,,-45,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,666.315771,f 640-700,f 640-700,0.9432926,2.4 +8,8,7868,8,1,7,3,36.5,2.4,0.61,61,Y,0.58,P,7,P,95,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.4210345,f 640-700,f 640-700,0.9432926,2.4 +1,1,7898,1,1,3,1,26,2.4,-2.42,58,Y,-2.24,F,7,F,94,1,2,-51,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,492.631568,c 460-520,c 460-520,0.9432926,2.4 +1,1,7910,1,2,3,3,28,2.4,-1.92,69,Y,-2.15,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,524.210514,d 520-580,d 520-580,0.9432926,2.4 +5,4,7955,5,1,7,3,43,2.4,-0.15,66,Y,-0.54,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,761.052609,g 700+,h 760-820,0.9432926,2.4 +4,4,8007,4,2,7,1,40,2.4,-0.36,68,Y,-0.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.68419,g 700+,g 700-760,0.9432926,2.4 +7,8,8018,7,2,7,4,35.5,2.4,0.38,68,Y,0.8,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,642.6315615,f 640-700,f 640-700,0.9432926,2.4 +1,1,8022,1,2,7,3,34,2.4,-1.36,66,Y,-1.49,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +5,5,8024,5,2,7,3,39,2.4,-0.1,56,Y,-0.06,P,7,P,95,2,4,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +2,1,8100,2,1,6,3,37,2.4,-0.94,69,Y,-1.56,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +8,4,8110,8,2,7,4,39,2.4,0.82,65,Y,-0.25,F,7,F,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,697.894717,f 640-700,f 640-700,0.9432926,2.4 +5,2,8139,5,2,2,3,33,2.4,-0.05,12,Y,-1.23,F,7,P,95,1,3,-5,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +,,8191,,1,7,1,44,2.4,,66,Y,-0.54,P,2,P,95,2,4,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.842082,g 700+,h 760-820,0.9432926,2.4 +3,2,8233,4,2,6,6,25,2.4,-0.42,67,Y,-1.25,F,7,P,95,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,476.842095,c 460-520,c 460-520,0.9432926,2.4 +10,6,8239,10,2,7,5,42,2.4,1.55,67,Y,0.06,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,745.263136,g 700+,g 700-760,0.9432926,2.4 +9,3,8461,9,2,7,2,37,2.4,0.89,64,Y,-0.82,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,666.315771,f 640-700,f 640-700,0.9432926,2.4 +7,6,8514,7,2,7,1,35,2.4,0.37,59,Y,0.03,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,634.736825,e 580-640,e 580-640,0.9432926,2.4 +2,2,8626,3,2,6,2,29,2.4,-0.84,67,Y,-0.96,P,7,P,94,1,5,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,539.999987,d 520-580,d 520-580,0.9432926,2.4 +6,6,8654,7,2,3,6,23,2.4,0.35,66,Y,0.19,P,7,P,94,1,4,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,445.263149,b 400-460,b 400-460,0.9432926,2.4 +3,5,8740,4,2,7,2,38,2.4,-0.44,67,Y,-0.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,682.105244,f 640-700,f 640-700,0.9432926,2.4 +8,8,8748,8,2,7,3,43,2.4,0.71,65,Y,0.7,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,761.052609,g 700+,h 760-820,0.9432926,2.4 +4,6,8802,5,2,7,2,25,2.4,-0.24,66,Y,-0.01,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,476.842095,c 460-520,c 460-520,0.9432926,2.4 +7,5,8848,8,1,7,1,40,2.4,0.61,56,Y,0,P,2,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.68419,g 700+,g 700-760,0.9432926,2.4 +1,1,8860,1,1,7,2,41,2.4,-1.41,61,Y,-1.36,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,729.473663,g 700+,g 700-760,0.9432926,2.4 +5,6,9015,6,2,7,6,27,2.4,0.02,67,Y,0.04,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,508.421041,c 460-520,c 460-520,0.9432926,2.4 +1,2,9087,1,1,3,1,31,2.4,-1.31,68,Y,-1.26,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,571.578933,d 520-580,d 520-580,0.9432926,2.4 +3,1,9270,3,1,3,4,32,2.4,-0.65,67,Y,-1.48,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,587.368406,e 580-640,e 580-640,0.9432926,2.4 +2,3,9279,2,1,7,2,34,2.4,-0.9,69,Y,-0.77,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,618.947352,e 580-640,e 580-640,0.9432926,2.4 +1,2,9325,2,2,7,4,34,2.4,-1.18,65,Y,-1.14,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,618.947352,e 580-640,e 580-640,0.9432926,2.4 +6,5,9513,6,2,7,2,35,2.4,0.04,69,Y,-0.16,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,634.736825,e 580-640,e 580-640,0.9432926,2.4 +1,1,9624,1,1,3,3,25,2.4,-2.29,55,Y,-1.73,P,7,P,94,1,1,-48,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,476.842095,c 460-520,c 460-520,0.9432926,2.4 +2,1,9717,2,1,6,3,37,2.4,-0.93,69,Y,-1.58,F,7,F,94,1,5,-62,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +8,7,9888,9,2,7,1,38.5,2.4,0.9,62,Y,0.53,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,689.9999805,f 640-700,f 640-700,0.9432926,2.4 +4,1,9931,4,2,7,3,36.5,2.4,-0.33,67,Y,-1.38,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.4210345,f 640-700,f 640-700,0.9432926,2.4 +1,1,9950,1,2,7,3,30,2.4,-1.36,68,Y,-1.45,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,555.78946,d 520-580,d 520-580,0.9432926,2.4 +4,3,10119,4,1,7,4,41,2.4,-0.27,64,Y,-0.69,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,729.473663,g 700+,g 700-760,0.9432926,2.4 +4,3,10163,5,2,3,2,24,2.4,-0.24,68,Y,-0.6,F,2,F,94,1,4,-66,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,461.052622,c 460-520,c 460-520,0.9432926,2.4 +,,10204,,1,7,5,42,2.4,,58,Y,,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,745.263136,g 700+,g 700-760,0.9432926,2.4 +5,6,10235,5,1,3,1,28,2.4,-0.04,68,Y,0.13,F,7,P,95,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,524.210514,d 520-580,d 520-580,0.9432926,2.4 +1,4,10306,1,2,2,3,25,2.4,-1.41,60,Y,-0.49,P,2,P,96,2,4,-58,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,476.842095,c 460-520,c 460-520,0.9432926,2.4 +10,10,10315,10,1,7,3,41,2.4,1.46,65,Y,1.6,P,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +2,3,10321,2,2,7,3,33,2.4,-0.96,65,Y,-0.61,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +2,4,10348,3,1,7,3,32,2.4,-0.79,50,Y,-0.48,P,7,P,94,1,5,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,587.368406,e 580-640,e 580-640,0.9432926,2.4 +1,2,10353,2,2,2,1,40,2.4,-1.15,60,Y,-1.23,P,7,P,94,1,3,-53,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,713.68419,g 700+,g 700-760,0.9432926,2.4 +3,4,10369,4,2,7,3,40,2.4,-0.44,65,Y,-0.53,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +4,4,10488,4,1,6,3,38,2.4,-0.3,66,Y,-0.52,P,7,P,94,1,4,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +6,4,10496,7,2,7,3,41,2.4,0.28,53,Y,-0.31,P,7,P,93,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +1,1,10511,1,2,3,1,36,2.4,-2.13,66,Y,-1.98,P,7,P,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,650.526298,f 640-700,f 640-700,0.9432926,2.4 +10,10,10646,10,2,7,2,34,2.4,1.41,63,Y,1.73,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,618.947352,e 580-640,e 580-640,0.9432926,2.4 +7,4,10655,7,2,6,3,27.5,2.4,0.39,66,Y,-0.52,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,516.3157775,c 460-520,c 460-520,0.9432926,2.4 +7,8,10752,7,2,7,3,35,2.4,0.47,67,Y,0.83,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +2,4,10813,2,2,2,4,34,2.4,-1.05,61,Y,-0.42,P,7,P,95,2,4,-54,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,618.947352,e 580-640,e 580-640,0.9432926,2.4 +2,3,10894,3,2,3,4,40,2.4,-0.81,63,Y,-0.53,P,7,P,94,1,4,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,713.68419,g 700+,g 700-760,0.9432926,2.4 +9,9,10913,9,1,7,3,38,2.4,0.97,62,Y,0.91,P,7,P,94,1,5,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +8,7,10974,8,2,7,1,46,2.4,0.68,58,Y,0.44,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,808.421028,g 700+,h 760-820,0.9432926,2.4 +5,6,11052,5,2,7,3,39,2.4,-0.1,65,Y,0.19,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +5,2,11062,5,2,7,2,33,2.4,-0.14,68,Y,-0.91,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,603.157879,e 580-640,e 580-640,0.9432926,2.4 +9,9,11072,9,2,7,6,41,2.4,0.93,47,Y,0.94,P,7,P,94,1,1,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,729.473663,g 700+,g 700-760,0.9432926,2.4 +2,2,11290,2,2,3,1,26,2.4,-0.91,66,Y,-1.27,P,7,P,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,492.631568,c 460-520,c 460-520,0.9432926,2.4 +,,11322,,2,7,,27,2.4,0.6,66,Y,0.18,P,2,P,95,2,3,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,508.421041,c 460-520,c 460-520,0.9432926,2.4 +7,1,11367,8,1,8,1,32.5,2.4,0.61,69,Y,-1.6,P,2,P,96,1,4,-67,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,595.2631425,e 580-640,e 580-640,0.9432926,2.4 +3,1,11510,4,2,7,3,30,2.4,-0.48,69,Y,-1.66,F,2,F,95,2,4,-67,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,555.78946,d 520-580,d 520-580,0.9432926,2.4 +5,6,11554,5,2,7,1,43,2.4,-0.04,65,Y,0.28,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,761.052609,g 700+,h 760-820,0.9432926,2.4 +10,10,11601,10,2,7,3,40,2.4,1.35,58,Y,1.88,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +,,11685,,2,7,3,40,2.4,,52,Y,,P,7,P,95,2,4,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +,,11740,,2,7,5,34,2.4,,55,Y,,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,618.947352,e 580-640,e 580-640,0.9432926,2.4 +2,1,11837,2,2,3,1,30,2.4,-0.91,69,Y,-1.35,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,555.78946,d 520-580,d 520-580,0.9432926,2.4 +2,1,12143,2,1,2,3,30.5,2.4,-0.92,67,Y,-1.68,F,7,P,96,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,563.6841965,d 520-580,d 520-580,0.9432926,2.4 +9,6,12181,9,1,3,6,29,2.4,0.97,61,Y,0.25,P,7,P,94,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,539.999987,d 520-580,d 520-580,0.9432926,2.4 +6,5,12323,6,2,7,3,39,2.4,0.16,68,Y,-0.21,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +8,9,12335,8,2,7,2,35,2.4,0.59,55,Y,1.23,P,2,P,95,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,634.736825,e 580-640,e 580-640,0.9432926,2.4 +7,8,12337,7,1,3,6,29,2.4,0.49,62,Y,0.55,P,2,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,539.999987,d 520-580,d 520-580,0.9432926,2.4 +2,3,12483,3,2,7,3,31,2.4,-0.72,51,Y,-0.57,F,7,P,95,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,571.578933,d 520-580,d 520-580,0.9432926,2.4 +,,12532,,2,7,,31.3,2.4,-0.4,67,Y,-1.5,P,2,P,95,2,,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,576.3157749,d 520-580,d 520-580,0.9432926,2.4 +3,2,12609,4,2,7,3,42,2.4,-0.44,69,Y,-1.13,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,745.263136,g 700+,g 700-760,0.9432926,2.4 +1,1,12627,2,1,3,6,20,2.4,-1.14,68,Y,-1.51,F,2,F,95,1,4,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,397.89473,a under 400,a under 400,0.9432926,2.4 +1,1,12667,1,2,4,3,39,2.4,-2.24,68,Y,-1.51,F,7,F,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +1,1,12948,1,2,3,3,24,2.4,-1.37,68,Y,-2.26,F,7,P,95,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,461.052622,c 460-520,c 460-520,0.9432926,2.4 +9,10,13020,9,2,7,3,38,2.4,1.18,59,Y,1.34,P,2,P,95,2,2,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +9,9,13188,9,2,7,3,36.5,2.4,1.15,67,Y,1.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.4210345,f 640-700,f 640-700,0.9432926,2.4 +6,5,13296,7,1,7,6,30,2.4,0.28,46,Y,-0.04,P,2,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,555.78946,d 520-580,d 520-580,0.9432926,2.4 +1,3,13318,1,2,4,4,29.3,2.4,-1.73,57,Y,-0.59,F,2,P,95,2,3,-55,male,1,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,544.7368289,d 520-580,d 520-580,0.9432926,2.4 +5,6,13392,5,1,4,1,36.5,2.4,-0.08,61,Y,0.13,P,7,P,94,1,2,-54,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,658.4210345,f 640-700,f 640-700,0.9432926,2.4 +10,6,13442,10,2,7,5,42,2.4,1.61,67,Y,0.17,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,745.263136,g 700+,g 700-760,0.9432926,2.4 +3,6,13593,3,2,7,4,39,2.4,-0.54,53,Y,0.04,P,2,P,96,2,5,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,697.894717,f 640-700,f 640-700,0.9432926,2.4 +2,3,13643,2,2,7,3,30.5,2.4,-0.89,67,Y,-0.78,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,563.6841965,d 520-580,d 520-580,0.9432926,2.4 +8,8,13647,8,2,3,6,27.5,2.4,0.83,67,Y,0.66,P,7,P,94,,4,-60,male,,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,516.3157775,c 460-520,c 460-520,0.9432926,2.4 +10,10,13691,10,2,7,3,41,2.4,2.18,62,Y,1.82,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +1,4,13730,2,2,2,3,32,2.4,-1.11,68,Y,-0.43,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,587.368406,e 580-640,e 580-640,0.9432926,2.4 +,,13769,,1,7,6,27.7,2.4,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,519.4736721,c 460-520,c 460-520,0.9432926,2.4 +,,13896,,2,3,1,29,2.4,,63,Y,,P,7,P,94,1,3,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,539.999987,d 520-580,d 520-580,0.9432926,2.4 +4,2,14169,4,2,7,2,33,2.4,-0.42,57,Y,-0.98,P,2,P,96,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,603.157879,e 580-640,e 580-640,0.9432926,2.4 +1,2,14175,1,2,3,3,27,2.4,-1.66,66,Y,-1.07,F,7,P,95,1,2,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,508.421041,c 460-520,c 460-520,0.9432926,2.4 +,,14297,,2,7,,25,2.4,-0.93,65,X,,F,2,F,96,2,5,-63,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,,476.842095,c 460-520,c 460-520,0.9432926,2.4 +8,4,14304,9,2,7,6,44,2.4,0.89,66,Y,-0.43,P,2,P,94,1,2,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,776.842082,g 700+,h 760-820,0.9432926,2.4 +2,1,14362,2,2,6,1,36,2.4,-0.9,67,Y,-1.63,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,650.526298,f 640-700,f 640-700,0.9432926,2.4 +3,2,14377,3,1,7,3,41,2.4,-0.59,65,Y,-0.98,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +4,6,14379,5,1,3,6,22.3,2.4,-0.1,61,Y,0.18,F,2,P,96,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,434.2105179,b 400-460,b 400-460,0.9432926,2.4 +9,8,14393,9,2,7,3,39,2.4,0.87,65,Y,0.6,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +2,3,14423,2,1,5,3,34,2.4,-0.85,68,Y,-0.86,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +10,10,14762,10,2,7,1,45,2.4,1.92,53,Y,1.77,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.631555,g 700+,h 760-820,0.9432926,2.4 +5,2,14766,5,2,7,3,42,2.4,-0.13,68,Y,-0.95,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,745.263136,g 700+,g 700-760,0.9432926,2.4 +10,10,14802,10,1,7,3,37,2.4,1.66,67,Y,1.59,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +2,2,14883,2,1,7,3,30,2.4,-1.1,63,Y,-0.96,P,2,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,555.78946,d 520-580,d 520-580,0.9432926,2.4 +5,4,14919,5,2,7,3,37,2.4,-0.05,67,Y,-0.45,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +10,10,14946,10,1,3,6,30,2.4,1.75,67,Y,1.43,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,555.78946,d 520-580,d 520-580,0.9432926,2.4 +2,2,15076,2,1,3,3,25,2.4,-0.85,64,Y,-1.28,F,2,F,95,1,,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,476.842095,c 460-520,c 460-520,0.9432926,2.4 +7,6,15223,7,1,7,3,37,2.4,0.34,63,Y,0.04,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +7,4,15406,7,2,7,3,34,2.4,0.46,61,Y,-0.3,F,7,F,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +3,5,15430,3,2,7,3,33,2.4,-0.63,53,Y,-0.11,P,7,P,94,1,2,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +7,7,15513,8,1,7,3,43,2.4,0.55,65,Y,0.32,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,761.052609,g 700+,h 760-820,0.9432926,2.4 +9,10,15716,10,2,7,3,38,2.4,1.26,66,Y,1.48,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +1,1,15725,1,2,7,1,29,2.4,-1.68,67,Y,-2.37,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,539.999987,d 520-580,d 520-580,0.9432926,2.4 +5,4,15745,5,2,7,1,34,2.4,-0.05,63,Y,-0.35,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,618.947352,e 580-640,e 580-640,0.9432926,2.4 +1,1,15843,1,2,7,3,29,2.4,-1.86,65,Y,-1.71,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,539.999987,d 520-580,d 520-580,0.9432926,2.4 +5,7,15939,6,1,7,6,36,2.4,0.1,50,Y,0.28,P,7,P,94,1,4,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,650.526298,f 640-700,f 640-700,0.9432926,2.4 +3,1,15978,3,2,6,1,36,2.4,-0.68,64,Y,-1.38,P,7,P,94,1,5,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,650.526298,f 640-700,f 640-700,0.9432926,2.4 +3,1,16018,3,2,7,2,41,2.4,-0.59,67,Y,-1.38,F,7,P,95,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,729.473663,g 700+,g 700-760,0.9432926,2.4 +4,3,16025,5,2,3,6,25,2.4,-0.25,64,Y,-0.6,F,7,F,95,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,476.842095,c 460-520,c 460-520,0.9432926,2.4 +2,2,16271,2,1,3,3,37,2.4,-0.89,64,Y,-0.98,P,7,P,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +,,16318,,2,6,6,28,2.4,,61,Y,,P,7,P,94,1,3,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,524.210514,d 520-580,d 520-580,0.9432926,2.4 +4,5,16395,4,2,7,2,28,2.4,-0.36,60,Y,-0.06,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,524.210514,d 520-580,d 520-580,0.9432926,2.4 +1,1,16455,1,2,2,3,35,2.4,-1.69,65,Y,-1.4,P,7,P,94,1,4,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +8,4,16465,8,2,7,2,35,2.4,0.59,61,Y,-0.39,F,7,F,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,634.736825,e 580-640,e 580-640,0.9432926,2.4 +4,2,16600,4,2,7,2,33.5,2.4,-0.43,64,Y,-1.17,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.0526155,e 580-640,e 580-640,0.9432926,2.4 +4,4,16642,5,2,7,4,39,2.4,-0.23,55,Y,-0.34,P,7,P,95,2,4,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,697.894717,f 640-700,f 640-700,0.9432926,2.4 +1,1,16837,1,1,1,1,30,2.4,-1.82,68,Y,-1.8,F,2,F,96,1,3,-66,female,0,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,555.78946,d 520-580,d 520-580,0.9432926,2.4 +5,3,16839,6,1,3,6,22,2.4,0.07,57,Y,-0.6,F,7,P,95,1,4,-50,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,429.473676,b 400-460,b 400-460,0.9432926,2.4 +4,3,16864,4,1,7,3,40,2.4,-0.31,57,Y,-0.68,P,7,P,95,2,4,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +1,1,16888,1,2,8,2,31,2.4,-1.52,70,Y,-1.57,P,7,P,94,1,4,-63,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,571.578933,d 520-580,d 520-580,0.9432926,2.4 +5,2,16889,5,2,7,4,38,2.4,-0.11,60,Y,-0.95,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,682.105244,f 640-700,f 640-700,0.9432926,2.4 +10,10,16956,10,1,7,3,38,2.4,1.57,63,Y,1.5,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +2,2,16960,2,2,7,6,23,2.4,-0.98,47,Y,-1.22,F,2,F,95,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,445.263149,b 400-460,b 400-460,0.9432926,2.4 +1,1,17015,1,2,7,3,35,2.4,-2.15,64,Y,-1.7,P,2,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +3,5,17017,3,2,6,3,38,2.4,-0.66,62,Y,-0.12,P,7,P,95,2,3,-55,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +3,2,17065,3,2,3,3,20.7,2.4,-0.67,66,Y,-1.3,F,7,P,96,2,2,-59,male,1,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,408.9473611,b 400-460,b 400-460,0.9432926,2.4 +5,4,17073,5,2,7,3,37,2.4,-0.17,61,Y,-0.5,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +1,2,17120,2,2,2,3,36,2.4,-1.15,64,Y,-1.25,P,2,P,95,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +8,8,17351,8,2,7,2,35,2.4,0.8,66,Y,0.72,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,634.736825,e 580-640,e 580-640,0.9432926,2.4 +4,5,17384,4,1,7,3,37,2.4,-0.33,65,Y,-0.23,P,7,P,95,,3,-58,female,,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +8,8,17511,8,2,7,3,33.5,2.4,0.8,63,Y,0.64,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,611.0526155,e 580-640,e 580-640,0.9432926,2.4 +10,8,17539,10,2,7,3,41,2.4,1.61,62,Y,0.7,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +10,10,17586,10,2,7,4,37,2.4,2.82,62,Y,1.84,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,666.315771,f 640-700,f 640-700,0.9432926,2.4 +4,5,17694,4,1,7,3,33.5,2.4,-0.37,50,Y,-0.26,P,7,P,94,1,4,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,611.0526155,e 580-640,e 580-640,0.9432926,2.4 +4,5,17873,4,2,7,2,35,2.4,-0.4,60,Y,-0.06,F,7,F,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,634.736825,e 580-640,e 580-640,0.9432926,2.4 +,,17935,,2,7,6,30,2.4,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,555.78946,d 520-580,d 520-580,0.9432926,2.4 +1,2,17987,1,1,5,1,20.3,2.4,-2.19,60,Y,-1.21,F,7,F,94,1,2,-53,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,402.6315719,b 400-460,b 400-460,0.9432926,2.4 +7,3,18024,7,2,7,3,34,2.4,0.34,54,Y,-0.62,F,2,F,96,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +10,8,18235,10,2,7,3,38,2.4,1.73,67,Y,0.78,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +2,3,18321,3,2,7,3,39,2.4,-0.76,59,Y,-0.62,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +5,7,18361,6,2,7,3,33,2.4,0.01,47,Y,0.27,P,2,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +3,3,18665,3,2,7,3,35.5,2.4,-0.63,67,Y,-0.76,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,642.6315615,f 640-700,f 640-700,0.9432926,2.4 +5,5,18674,5,1,7,3,34,2.4,-0.05,66,Y,-0.23,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +5,7,18946,6,2,2,6,32,2.4,0.05,47,Y,0.32,P,7,P,94,1,2,-40,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,1,587.368406,e 580-640,e 580-640,0.9432926,2.4 +1,2,19041,1,2,3,4,39,2.4,-1.37,59,Y,-1.03,P,2,P,94,1,4,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,697.894717,f 640-700,f 640-700,0.9432926,2.4 +7,3,19074,7,2,7,3,37,2.4,0.46,64,Y,-0.72,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +3,5,19125,4,1,7,2,32,2.4,-0.47,66,Y,-0.07,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,587.368406,e 580-640,e 580-640,0.9432926,2.4 +6,5,19213,6,2,7,3,35,2.4,0.1,68,Y,-0.21,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +6,5,19247,7,1,7,1,40,2.4,0.31,58,Y,0,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,713.68419,g 700+,g 700-760,0.9432926,2.4 +2,1,19357,2,2,7,3,32,2.4,-1.04,68,Y,-1.33,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,587.368406,e 580-640,e 580-640,0.9432926,2.4 +3,2,19371,4,2,7,3,42,2.4,-0.49,65,Y,-0.89,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,745.263136,g 700+,g 700-760,0.9432926,2.4 +2,2,19381,2,2,7,4,32,2.4,-1.15,64,Y,-1.06,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,587.368406,e 580-640,e 580-640,0.9432926,2.4 +9,8,19386,9,1,7,3,46,2.4,1.11,67,Y,0.75,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,808.421028,g 700+,h 760-820,0.9432926,2.4 +2,4,19491,3,1,7,3,24.5,2.4,-0.71,64,Y,-0.47,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,468.9473585,c 460-520,c 460-520,0.9432926,2.4 +4,4,19536,5,2,5,2,29,2.4,-0.2,63,Y,-0.57,F,7,F,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,2,539.999987,d 520-580,d 520-580,0.9432926,2.4 +7,8,19593,7,2,7,1,35,2.4,0.51,39,Y,0.69,P,7,P,94,1,2,-32,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,634.736825,e 580-640,e 580-640,0.9432926,2.4 +2,1,19665,2,2,7,3,37,2.4,-0.99,69,Y,-2.06,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +5,8,19691,5,2,7,3,35,2.4,-0.07,66,Y,0.7,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +,,19732,,1,2,5,36.3,2.4,,64,Y,,F,7,P,96,1,4,-57,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,655.2631399,f 640-700,f 640-700,0.9432926,2.4 +1,1,19828,1,2,3,3,27,2.4,-2.01,68,Y,-2.08,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,508.421041,c 460-520,c 460-520,0.9432926,2.4 +6,6,19840,6,2,7,3,40,2.4,0.1,65,Y,0.18,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +2,2,19970,3,2,6,3,27.5,2.4,-0.79,65,Y,-1.16,F,7,P,95,1,4,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,516.3157775,c 460-520,c 460-520,0.9432926,2.4 +2,1,20114,2,2,7,3,27,2.4,-0.96,67,Y,-1.69,P,2,P,94,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,508.421041,c 460-520,c 460-520,0.9432926,2.4 +1,1,20210,2,1,4,1,30,2.4,-1.15,66,Y,-1.74,P,7,P,94,1,1,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,555.78946,d 520-580,d 520-580,0.9432926,2.4 +10,10,20275,10,2,7,1,36,2.4,1.35,64,Y,2.14,P,6,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,650.526298,f 640-700,f 640-700,0.9432926,2.4 +,,20323,,1,7,5,43,2.4,,46,Y,,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,761.052609,g 700+,h 760-820,0.9432926,2.4 +3,7,20326,3,2,7,3,38,2.4,-0.63,57,Y,0.42,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +8,8,20381,8,2,7,1,34,2.4,0.7,56,Y,0.81,P,2,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,618.947352,e 580-640,e 580-640,0.9432926,2.4 +2,4,20427,3,2,7,3,38,2.4,-0.79,67,Y,-0.5,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +4,4,20445,4,1,3,3,25,2.4,-0.33,69,Y,-0.34,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,476.842095,c 460-520,c 460-520,0.9432926,2.4 +6,6,20457,6,2,7,2,29,2.4,0.1,51,Y,0.04,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,539.999987,d 520-580,d 520-580,0.9432926,2.4 +5,2,20539,5,2,7,4,28,2.4,-0.05,68,Y,-1.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,524.210514,d 520-580,d 520-580,0.9432926,2.4 +10,10,20604,10,2,7,3,47,2.4,1.91,65,Y,1.75,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,824.210501,g 700+,i 820+,0.9432926,2.4 +5,3,20683,6,2,7,3,30,2.4,0.03,65,Y,-0.74,F,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,555.78946,d 520-580,d 520-580,0.9432926,2.4 +5,3,20943,5,2,3,1,39,2.4,-0.06,68,Y,-0.7,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,697.894717,f 640-700,f 640-700,0.9432926,2.4 +,,21055,1,2,2,3,38,2.4,-2.15,68,X,,P,2,P,95,1,3,-66,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +3,5,21168,4,2,3,6,27.5,2.4,-0.45,66,Y,-0.24,P,7,P,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,516.3157775,c 460-520,c 460-520,0.9432926,2.4 +4,4,21265,4,1,7,4,42,2.4,-0.26,66,Y,-0.35,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,745.263136,g 700+,g 700-760,0.9432926,2.4 +10,7,21299,10,2,7,1,41,2.4,2.58,64,Y,0.32,P,2,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,729.473663,g 700+,g 700-760,0.9432926,2.4 +10,10,21327,10,2,7,3,41.5,2.4,1.67,66,Y,1.72,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.3683995,g 700+,g 700-760,0.9432926,2.4 +6,4,21463,6,2,7,4,44,2.4,0.09,58,Y,-0.26,P,7,P,95,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.842082,g 700+,h 760-820,0.9432926,2.4 +3,6,21524,4,2,7,2,33,2.4,-0.47,65,Y,0.04,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,603.157879,e 580-640,e 580-640,0.9432926,2.4 +1,1,21535,2,1,7,3,36,2.4,-1.25,67,Y,-1.65,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +9,9,21620,9,1,7,2,32,2.4,1.1,68,Y,0.95,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,587.368406,e 580-640,e 580-640,0.9432926,2.4 +1,1,21672,1,2,3,3,33,2.4,-1.56,54,Y,-2.25,F,7,P,95,1,2,-47,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +2,1,21712,2,2,7,2,34.5,2.4,-0.99,68,Y,-1.63,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,626.8420885,e 580-640,e 580-640,0.9432926,2.4 +8,9,21731,8,2,7,3,36,2.4,0.6,64,Y,0.87,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +3,3,21765,3,1,7,1,33,2.4,-0.67,37,Y,-0.7,P,7,P,94,1,4,-30,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,603.157879,e 580-640,e 580-640,0.9432926,2.4 +,,21806,,2,7,,24.5,2.4,-0.43,54,Y,-1.45,P,2,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,468.9473585,c 460-520,c 460-520,0.9432926,2.4 +3,4,21825,3,2,7,2,34.5,2.4,-0.61,52,Y,-0.58,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,626.8420885,e 580-640,e 580-640,0.9432926,2.4 +8,8,22066,8,2,7,3,42,2.4,0.81,59,Y,0.58,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,745.263136,g 700+,g 700-760,0.9432926,2.4 +8,7,22088,8,1,7,3,38,2.4,0.81,66,Y,0.38,P,7,P,94,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +9,8,22114,9,2,7,3,31,2.4,0.89,57,Y,0.6,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,571.578933,d 520-580,d 520-580,0.9432926,2.4 +3,3,22159,4,2,7,4,44,2.4,-0.48,64,Y,-0.7,P,7,P,94,,4,-57,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.842082,g 700+,h 760-820,0.9432926,2.4 +2,5,22255,2,2,2,3,29,2.4,-0.87,66,Y,-0.09,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,539.999987,d 520-580,d 520-580,0.9432926,2.4 +1,1,22284,1,2,6,1,23,2.4,-1.75,57,Y,-1.71,F,7,F,94,1,1,-50,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,445.263149,b 400-460,b 400-460,0.9432926,2.4 +7,3,22288,7,2,7,1,38,2.4,0.43,68,Y,-0.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,682.105244,f 640-700,f 640-700,0.9432926,2.4 +8,8,22360,8,2,7,3,41,2.4,0.83,67,Y,0.82,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +5,5,22476,5,2,7,3,37,2.4,-0.05,56,Y,-0.17,P,7,P,94,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +1,1,22517,1,2,3,4,28.5,2.4,-1.54,65,Y,-1.69,F,7,F,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,532.1052505,d 520-580,d 520-580,0.9432926,2.4 +3,2,22544,3,2,7,1,46,2.4,-0.59,66,Y,-1.2,F,7,F,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,808.421028,g 700+,h 760-820,0.9432926,2.4 +4,5,22647,5,2,3,6,20.3,2.4,-0.25,67,Y,-0.12,F,7,P,95,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,402.6315719,b 400-460,b 400-460,0.9432926,2.4 +5,4,22678,5,1,7,3,33,2.4,-0.17,64,Y,-0.42,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,603.157879,e 580-640,e 580-640,0.9432926,2.4 +2,3,22864,3,2,7,3,40,2.4,-0.82,66,Y,-0.84,F,2,F,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +1,2,22970,2,2,3,6,25,2.4,-1.23,67,Y,-1.03,P,2,P,94,1,3,-65,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,476.842095,c 460-520,c 460-520,0.9432926,2.4 +5,6,22994,5,2,7,6,31.5,2.4,-0.06,67,Y,-0.03,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,579.4736695,d 520-580,d 520-580,0.9432926,2.4 +5,6,23243,5,2,7,3,32.7,2.4,-0.08,66,Y,0,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.4210371,e 580-640,e 580-640,0.9432926,2.4 +3,2,23320,4,1,7,3,39,2.4,-0.47,67,Y,-1.04,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,697.894717,f 640-700,f 640-700,0.9432926,2.4 +6,7,23324,7,2,7,3,37,2.4,0.3,67,Y,0.29,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +3,5,23375,4,1,7,3,38,2.4,-0.42,50,Y,-0.22,F,7,F,95,2,4,-43,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +3,6,23423,4,2,7,2,37,2.4,-0.5,65,Y,-0.03,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,666.315771,f 640-700,f 640-700,0.9432926,2.4 +10,9,23456,10,2,7,3,38,2.4,2.16,67,Y,0.92,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +2,2,23472,3,2,7,2,32,2.4,-0.8,67,Y,-1.02,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,587.368406,e 580-640,e 580-640,0.9432926,2.4 +2,2,23618,2,2,2,3,28.5,2.4,-0.84,65,Y,-1.02,F,2,F,95,1,3,-63,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,532.1052505,d 520-580,d 520-580,0.9432926,2.4 +9,8,23662,9,2,7,3,38,2.4,0.88,69,Y,0.75,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +1,2,23857,1,2,3,5,27.7,2.4,-1.7,68,Y,-0.9,F,7,P,96,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,519.4736721,c 460-520,c 460-520,0.9432926,2.4 +6,4,23876,6,2,7,2,36,2.4,0.05,60,Y,-0.33,F,7,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,650.526298,f 640-700,f 640-700,0.9432926,2.4 +,,24038,,1,7,6,32,2.4,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,587.368406,e 580-640,e 580-640,0.9432926,2.4 +2,1,24237,2,2,7,2,27,2.4,-0.99,62,Y,-1.97,F,1,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,508.421041,c 460-520,c 460-520,0.9432926,2.4 +2,1,24580,2,1,3,5,35,2.4,-0.9,68,Y,-1.68,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,634.736825,e 580-640,e 580-640,0.9432926,2.4 +2,2,24660,2,2,3,4,27.5,2.4,-0.97,60,Y,-1.16,P,7,P,94,1,4,-53,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,516.3157775,c 460-520,c 460-520,0.9432926,2.4 +1,1,24768,1,2,7,3,31,2.4,-1.53,67,Y,-1.5,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,571.578933,d 520-580,d 520-580,0.9432926,2.4 +1,1,24888,1,1,3,5,41,2.4,-1.65,64,Y,-1.73,F,7,F,94,1,1,-57,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,6,729.473663,g 700+,g 700-760,0.9432926,2.4 +6,6,24889,6,2,7,3,41,2.4,0.09,67,Y,-0.01,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +2,1,24902,2,2,7,2,33,2.4,-0.99,69,Y,-1.93,F,7,P,95,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,603.157879,e 580-640,e 580-640,0.9432926,2.4 +3,2,24958,3,2,6,4,32,2.4,-0.61,65,Y,-0.91,P,7,P,94,1,4,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,587.368406,e 580-640,e 580-640,0.9432926,2.4 +7,5,25025,7,1,7,3,43,2.4,0.35,67,Y,-0.06,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,761.052609,g 700+,h 760-820,0.9432926,2.4 +5,4,25152,6,2,7,3,35,2.4,0.01,62,Y,-0.39,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +2,1,25188,3,2,7,3,34,2.4,-0.76,44,Y,-1.5,F,2,F,95,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +,,25385,,2,3,6,28,2.4,,59,Y,,F,7,F,95,1,2,-52,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,524.210514,d 520-580,d 520-580,0.9432926,2.4 +4,4,25473,5,1,7,3,38,2.4,-0.2,68,Y,-0.42,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.105244,f 640-700,f 640-700,0.9432926,2.4 +2,1,25534,2,2,7,3,35,2.4,-0.95,65,Y,-2.03,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.736825,e 580-640,e 580-640,0.9432926,2.4 +2,1,25611,2,2,7,3,41,2.4,-1.09,46,Y,-1.81,F,7,P,95,1,3,-39,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,729.473663,g 700+,g 700-760,0.9432926,2.4 +3,2,25640,3,1,7,1,33,2.4,-0.71,67,Y,-1.3,P,7,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,603.157879,e 580-640,e 580-640,0.9432926,2.4 +4,6,25696,5,1,7,3,40,2.4,-0.23,67,Y,0.03,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +1,1,25725,2,2,8,6,29.5,2.4,-1.11,52,Y,-1.58,F,7,F,94,1,4,-45,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,1,547.8947235,d 520-580,d 520-580,0.9432926,2.4 +9,10,25891,9,2,3,1,33,2.4,1.1,65,Y,1.58,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,603.157879,e 580-640,e 580-640,0.9432926,2.4 +2,1,25927,2,2,7,3,36,2.4,-1.07,62,Y,-1.39,P,7,P,94,,3,-55,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +,,26026,4,1,3,5,37,2.4,-0.47,61,Y,,P,7,P,94,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,666.315771,f 640-700,f 640-700,0.9432926,2.4 +2,4,26056,2,2,7,2,36,2.4,-0.92,68,Y,-0.42,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,650.526298,f 640-700,f 640-700,0.9432926,2.4 +1,2,26105,1,1,3,3,28,2.4,-1.46,68,Y,-1.17,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,524.210514,d 520-580,d 520-580,0.9432926,2.4 +,,26122,,2,7,,28,2.4,0.46,60,Y,-0.7,P,7,P,94,2,2,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,524.210514,d 520-580,d 520-580,0.9432926,2.4 +1,1,26146,1,2,3,6,28,2.4,-1.46,61,Y,-1.91,F,7,F,94,1,2,-54,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,524.210514,d 520-580,d 520-580,0.9432926,2.4 +6,5,26214,6,2,7,3,36,2.4,0.06,68,Y,-0.04,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +2,3,26228,3,1,3,3,25.5,2.4,-0.8,68,Y,-0.64,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,484.7368315,c 460-520,c 460-520,0.9432926,2.4 +3,7,26340,4,2,7,3,34,2.4,-0.44,60,Y,0.38,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +6,6,26404,6,1,3,4,36,2.4,0.07,56,Y,0.22,P,7,P,94,1,,-49,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,650.526298,f 640-700,f 640-700,0.9432926,2.4 +,,26432,,2,3,1,33,2.4,,63,Y,-0.82,F,2,F,96,2,4,-61,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,603.157879,e 580-640,e 580-640,0.9432926,2.4 +4,6,26439,5,1,3,6,29.5,2.4,-0.17,67,Y,0.15,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,547.8947235,d 520-580,d 520-580,0.9432926,2.4 +5,4,26543,6,1,7,3,36,2.4,0.04,68,Y,-0.46,P,2,P,94,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,650.526298,f 640-700,f 640-700,0.9432926,2.4 +5,5,26545,5,2,7,2,37,2.4,-0.12,62,Y,-0.07,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,666.315771,f 640-700,f 640-700,0.9432926,2.4 +7,7,26656,7,1,7,3,32.7,2.4,0.47,66,Y,0.36,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.4210371,e 580-640,e 580-640,0.9432926,2.4 +2,1,26729,2,1,7,3,28.5,2.4,-0.86,65,Y,-1.53,F,7,F,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,532.1052505,d 520-580,d 520-580,0.9432926,2.4 +4,2,26740,4,1,7,3,32,2.4,-0.41,69,Y,-1.12,F,7,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,587.368406,e 580-640,e 580-640,0.9432926,2.4 +2,3,26749,3,2,7,3,30,2.4,-0.74,57,Y,-0.79,F,7,F,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,555.78946,d 520-580,d 520-580,0.9432926,2.4 +7,9,26785,7,2,7,1,39,2.4,0.51,67,Y,1.15,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.894717,f 640-700,f 640-700,0.9432926,2.4 +1,1,26872,2,1,2,3,28,2.4,-1.27,65,Y,-1.62,F,7,P,95,1,3,-58,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,524.210514,d 520-580,d 520-580,0.9432926,2.4 +9,8,26895,9,1,7,3,40,2.4,1.07,52,Y,0.81,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,713.68419,g 700+,g 700-760,0.9432926,2.4 +9,10,26947,9,2,7,3,37,2.4,1.26,64,Y,1.57,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.315771,f 640-700,f 640-700,0.9432926,2.4 +2,1,26981,2,1,3,3,24,2.4,-1.02,67,Y,-1.4,F,2,P,96,1,3,-65,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,461.052622,c 460-520,c 460-520,0.9432926,2.4 +1,2,27107,2,1,7,3,34,2.4,-1.11,67,Y,-1.2,F,7,F,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,618.947352,e 580-640,e 580-640,0.9432926,2.4 +3,3,27185,4,2,3,3,30,2.4,-0.45,66,Y,-0.66,P,7,P,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,555.78946,d 520-580,d 520-580,0.9432926,2.4 +,,27214,,2,2,6,24,2.4,,67,Y,,F,7,P,95,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,1,461.052622,c 460-520,c 460-520,0.9432926,2.4 +2,3,27316,2,2,6,1,39,2.4,-0.84,65,Y,-0.85,P,2,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,697.894717,f 640-700,f 640-700,0.9432926,2.4 +,,16,,2,3,5,37,3.6,,69,Y,0,F,7,P,95,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,2,68,4,1,7,4,31.5,3.6,-0.37,69,Y,-1.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +5,4,81,5,1,7,5,42,3.6,-0.03,68,Y,-0.28,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +4,4,121,4,1,7,1,38,3.6,-0.4,69,Y,-0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,145,,1,4,5,44,3.6,,68,Y,0,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +7,7,169,7,1,7,3,36,3.6,0.45,69,Y,0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,4,177,7,2,7,1,34,3.6,0.45,64,Y,-0.5,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,7,182,5,2,7,1,33,3.6,0,69,Y,0.4,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +10,10,193,10,1,7,3,38,3.6,1.39,65,Y,1.6,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +6,7,206,6,1,7,3,37,3.6,0.19,66,Y,0.3,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,8,236,6,2,7,1,41,3.6,0.26,67,Y,0.77,P,7,P,94,,4,-60,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +9,9,239,9,2,7,1,37,3.6,1.21,64,Y,1.22,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,2,252,2,2,2,5,43,3.6,-1.07,67,Y,-0.94,P,7,P,94,1,2,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +3,2,270,3,2,7,3,31.5,3.6,-0.67,68,Y,-1.3,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +6,6,275,6,1,7,1,38,3.6,0.22,69,Y,0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,4,303,4,2,7,1,40,3.6,-0.45,69,Y,-0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +7,7,304,7,2,7,1,40,3.6,0.4,69,Y,0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +3,3,306,3,1,7,5,39.5,3.6,-0.69,67,Y,-0.51,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.7894535,g 700+,i 820+,0.9993191,3.6 +8,9,330,8,2,7,4,46,3.6,0.69,66,Y,1.01,P,7,P,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +10,9,341,10,1,7,3,40,3.6,1.4,67,Y,0.91,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,342,10,1,7,5,43,3.6,2.45,46,Y,2.8,P,2,P,96,1,2,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +9,10,348,9,2,7,5,44,3.6,1.26,69,Y,1.57,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +6,6,368,6,1,7,5,45,3.6,0.25,67,Y,0.19,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +4,1,387,4,1,7,1,39,3.6,-0.31,64,Y,-1.77,F,7,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,4,407,6,2,8,4,41,3.6,0.16,62,Y,-0.35,P,7,P,94,1,4,-55,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +2,5,423,2,1,7,4,43,3.6,-0.99,67,Y,-0.1,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +8,9,447,8,2,7,4,39,3.6,0.75,67,Y,0.91,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,8,455,8,1,7,1,41,3.6,0.79,68,Y,0.77,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +,,460,,2,7,5,45,3.6,,55,Y,0,F,7,P,95,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +8,9,463,8,2,7,5,43,3.6,0.93,68,Y,0.87,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +4,4,465,4,1,7,4,41,3.6,-0.43,68,Y,-0.39,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +8,8,468,8,2,7,1,37,3.6,0.81,69,Y,0.74,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,3,473,7,2,8,1,37,3.6,0.29,64,Y,-0.63,P,2,P,95,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,5,495,7,2,7,4,41,3.6,0.33,69,Y,-0.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +10,9,503,10,1,7,5,36,3.6,1.47,69,Y,1.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,9,505,7,2,7,1,40,3.6,0.41,52,Y,1.24,P,2,P,96,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,519,,1,7,1,36,3.6,,66,Y,,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,10,526,10,1,7,4,40,3.6,1.81,66,Y,2.23,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +8,9,546,8,1,2,3,38,3.6,0.81,68,Y,0.99,P,2,P,95,1,4,-66,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +1,1,564,1,2,7,5,41,3.6,-1.86,66,Y,-1.76,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +3,4,582,3,2,7,1,39,3.6,-0.61,69,Y,-0.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +1,2,584,1,1,7,2,31,3.6,-1.32,69,Y,-1.22,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,691.578933,f 640-700,f 640-700,0.9993191,3.6 +5,7,601,5,2,7,1,35.5,3.6,-0.09,60,Y,0.38,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.6315615,g 700+,h 760-820,0.9993191,3.6 +,,612,,1,7,1,39,3.6,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,3,619,4,1,7,3,31,3.6,-0.48,68,Y,-0.62,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,10,656,10,1,7,3,37,3.6,1.45,69,Y,1.39,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,2,667,2,1,7,1,39,3.6,-0.83,69,Y,-1.3,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,8,676,9,2,7,3,38,3.6,1.22,69,Y,0.83,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,681,,1,7,1,37,3.6,,62,Y,,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,7,698,6,1,6,1,38,3.6,0.19,67,Y,0.37,P,2,P,95,1,3,-65,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,5,703,5,1,6,1,40,3.6,-0.01,68,Y,-0.02,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +3,5,731,4,2,7,3,38,3.6,-0.43,69,Y,-0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,2,752,3,1,7,4,34,3.6,-0.53,67,Y,-0.86,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,5,776,5,2,7,5,38,3.6,-0.19,68,Y,0,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,7,794,8,1,7,4,34,3.6,0.67,69,Y,0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,9,817,9,1,7,1,33,3.6,1.1,70,Y,0.89,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +5,6,864,5,2,7,4,45,3.6,-0.12,69,Y,0.18,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +3,3,884,3,2,7,5,45,3.6,-0.79,65,Y,-0.71,F,7,F,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +4,5,889,5,1,7,1,35.5,3.6,-0.17,69,Y,-0.19,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.6315615,g 700+,h 760-820,0.9993191,3.6 +5,6,901,5,1,7,5,39,3.6,-0.07,70,Y,0.15,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +2,2,909,2,1,8,1,31.5,3.6,-1,66,Y,-1.17,P,7,P,94,1,4,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +7,7,925,7,2,7,1,35,3.6,0.54,68,Y,0.51,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,8,926,9,1,7,1,34,3.6,1.02,68,Y,0.6,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +10,10,937,10,1,7,1,46,3.6,1.83,65,Y,1.6,P,2,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,928.421028,g 700+,i 820+,0.9993191,3.6 +9,9,947,9,1,2,3,36,3.6,1.1,67,Y,0.93,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +5,5,964,5,2,7,1,38,3.6,0.01,68,Y,-0.03,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,5,987,5,2,7,4,39,3.6,-0.05,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,8,996,9,1,7,4,42.5,3.6,0.94,67,Y,0.84,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,873.1578725,g 700+,i 820+,0.9993191,3.6 +5,4,1014,5,1,3,1,24,3.6,0.01,60,Y,-0.29,P,7,P,94,1,3,-53,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,581.052622,e 580-640,e 580-640,0.9993191,3.6 +6,8,1039,7,1,4,4,39,3.6,0.27,64,Y,0.65,P,7,P,94,1,4,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,9,1063,8,2,7,1,38,3.6,0.85,68,Y,1,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,1065,10,1,7,2,41,3.6,1.5,67,Y,1.88,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,849.473663,g 700+,i 820+,0.9993191,3.6 +4,4,1071,4,2,7,1,37,3.6,-0.31,67,Y,-0.53,P,2,P,96,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,1,1101,4,2,7,3,35,3.6,-0.32,66,Y,-1.44,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +8,9,1110,8,2,7,1,38,3.6,0.63,67,Y,0.92,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,4,1111,3,1,7,1,33,3.6,-0.62,59,Y,-0.45,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +4,4,1112,4,2,3,3,27,3.6,-0.3,69,Y,-0.45,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,628.421041,e 580-640,e 580-640,0.9993191,3.6 +9,9,1154,9,1,7,3,33,3.6,0.96,67,Y,1.01,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +6,6,1155,6,1,7,1,41,3.6,0.17,68,Y,0.19,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +7,6,1170,7,2,7,1,37,3.6,0.5,66,Y,0.18,F,7,F,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,9,1225,9,2,7,1,38.5,3.6,1.2,69,Y,1.23,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.9999805,g 700+,h 760-820,0.9993191,3.6 +8,8,1254,8,1,7,3,38,3.6,0.77,69,Y,0.84,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,3,1270,3,1,7,4,41,3.6,-0.68,57,Y,-0.74,P,2,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +,,1311,,1,3,5,40,3.6,,69,Y,0,P,7,P,94,1,5,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +2,2,1336,2,2,4,5,41,3.6,-1.07,69,Y,-0.87,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +10,7,1341,10,2,7,1,40,3.6,1.53,69,Y,0.51,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +3,5,1347,3,2,7,4,42,3.6,-0.54,64,Y,-0.09,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +5,4,1350,6,2,2,4,30,3.6,0.03,68,Y,-0.49,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,675.78946,f 640-700,f 640-700,0.9993191,3.6 +9,9,1398,9,2,7,5,48,3.6,1.33,68,Y,1.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +9,9,1406,10,1,7,3,31,3.6,1.27,61,Y,1.05,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +9,1,1407,9,2,7,5,36.5,3.6,1.11,66,Y,-1.31,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,778.4210345,g 700+,h 760-820,0.9993191,3.6 +3,4,1436,3,2,7,1,42,3.6,-0.62,69,Y,-0.44,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +5,9,1444,5,2,7,3,38,3.6,-0.05,66,Y,0.88,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +2,4,1449,2,2,7,3,36,3.6,-0.89,54,Y,-0.29,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,9,1469,8,1,7,3,37,3.6,0.81,62,Y,0.97,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,4,1496,4,2,7,1,39,3.6,-0.4,69,Y,-0.46,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,4,1503,8,1,7,1,40,3.6,0.79,69,Y,-0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +6,7,1519,6,2,7,1,38,3.6,0.25,68,Y,0.36,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,1521,10,1,7,3,41,3.6,2.34,68,Y,2.57,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +8,8,1571,8,1,7,5,38.5,3.6,0.74,67,Y,0.76,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,809.9999805,g 700+,h 760-820,0.9993191,3.6 +5,6,1580,5,2,2,4,45,3.6,-0.11,69,Y,0.2,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +3,4,1584,3,1,7,5,39,3.6,-0.58,66,Y,-0.47,P,2,P,95,1,5,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +1,2,1589,2,1,7,3,30,3.6,-1.15,64,Y,-0.89,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +8,8,1591,8,1,7,1,40,3.6,0.83,55,Y,0.82,P,7,P,95,2,3,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +8,9,1592,8,2,7,3,37,3.6,0.79,68,Y,1.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,5,1594,6,1,7,1,36,3.6,0.14,67,Y,-0.21,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +1,2,1595,2,1,7,1,34.5,3.6,-1.26,67,Y,-0.91,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.8420885,g 700+,g 700-760,0.9993191,3.6 +8,8,1615,8,2,7,3,42,3.6,0.7,69,Y,0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,865.263136,g 700+,i 820+,0.9993191,3.6 +2,2,1632,2,1,3,5,31,3.6,-1.02,69,Y,-1.13,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,691.578933,f 640-700,f 640-700,0.9993191,3.6 +6,7,1654,6,1,7,3,33,3.6,0.25,54,Y,0.5,F,6,P,95,1,2,-48,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +3,7,1661,3,1,3,1,38,3.6,-0.56,66,Y,0.47,P,7,P,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,4,1701,5,2,2,5,42,3.6,-0.21,69,Y,-0.49,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +4,4,1706,4,1,7,5,36,3.6,-0.29,58,Y,-0.35,P,7,P,94,2,3,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,9,1717,8,2,7,5,48,3.6,0.78,68,Y,0.84,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +9,9,1767,9,1,7,3,28.5,3.6,1.04,63,Y,1.07,P,2,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,652.1052505,f 640-700,f 640-700,0.9993191,3.6 +7,6,1804,7,2,7,3,32,3.6,0.4,68,Y,0.04,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +4,5,1809,4,2,7,1,43,3.6,-0.28,67,Y,-0.07,P,6,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +9,8,1811,9,2,7,1,40,3.6,0.99,69,Y,0.87,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +5,7,1826,5,1,7,1,34.5,3.6,-0.03,69,Y,0.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.8420885,g 700+,g 700-760,0.9993191,3.6 +8,8,1839,8,2,7,4,47,3.6,0.6,68,Y,0.83,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +10,10,1852,10,2,7,4,41,3.6,1.81,61,Y,1.67,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +7,8,1854,7,1,7,4,38,3.6,0.5,69,Y,0.58,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,5,1890,4,1,7,5,39.5,3.6,-0.38,63,Y,-0.15,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,825.7894535,g 700+,i 820+,0.9993191,3.6 +10,9,1893,10,1,7,4,46,3.6,1.86,69,Y,1.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +1,1,1944,1,1,5,3,27,3.6,-1.39,68,Y,-1.35,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.421041,e 580-640,e 580-640,0.9993191,3.6 +5,6,1945,5,1,7,5,46,3.6,-0.14,68,Y,0.14,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +8,9,1959,8,2,7,1,42,3.6,0.78,69,Y,0.93,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +1,2,1965,1,2,3,5,28,3.6,-1.36,69,Y,-0.89,F,7,P,95,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,644.210514,f 640-700,f 640-700,0.9993191,3.6 +4,7,1976,5,1,7,3,31,3.6,-0.21,69,Y,0.33,P,2,P,96,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +,,1981,7,2,7,5,44,3.6,0.43,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +,,1984,8,1,7,5,45,3.6,0.66,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +5,7,1999,5,2,7,1,33,3.6,0,66,Y,0.55,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +8,8,2011,8,1,7,1,36,3.6,0.66,67,Y,0.68,P,6,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +4,6,2029,4,1,7,4,45,3.6,-0.25,67,Y,0.04,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +2,1,2031,2,2,7,4,40.5,3.6,-1.12,69,Y,-1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,841.5789265,g 700+,i 820+,0.9993191,3.6 +8,7,2034,8,2,7,1,36,3.6,0.69,68,Y,0.36,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +2,2,2058,2,1,2,1,43,3.6,-0.87,69,Y,-1.04,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +,,2059,,1,7,1,36,3.6,,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,10,2062,7,1,7,5,48,3.6,0.48,68,Y,1.73,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +3,3,2075,3,2,7,3,34,3.6,-0.69,68,Y,-0.68,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,6,2105,7,1,7,4,36,3.6,0.3,69,Y,0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +,,2138,,2,7,4,46,3.6,,61,Y,,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +2,4,2140,2,1,7,4,28,3.6,-1.02,69,Y,-0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,644.210514,f 640-700,f 640-700,0.9993191,3.6 +4,3,2160,4,1,2,4,28,3.6,-0.38,36,Y,-0.55,P,7,P,94,2,4,-29,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,644.210514,f 640-700,f 640-700,0.9993191,3.6 +4,4,2164,4,1,7,4,38,3.6,-0.44,68,Y,-0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,9,2189,10,2,7,4,42,3.6,1.31,69,Y,1.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +4,6,2205,5,2,7,3,32,3.6,-0.24,68,Y,0.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +10,9,2219,10,2,7,5,44,3.6,1.46,48,Y,0.94,P,7,P,94,1,3,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +9,8,2237,9,2,7,3,37,3.6,0.9,69,Y,0.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +3,5,2244,3,1,7,1,39,3.6,-0.67,69,Y,-0.26,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,4,2282,5,2,7,1,41,3.6,-0.06,68,Y,-0.49,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +8,8,2283,8,2,7,5,42,3.6,0.93,69,Y,0.72,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +3,3,2329,3,2,2,4,34,3.6,-0.66,61,Y,-0.53,P,7,P,95,2,1,-54,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +1,1,2347,1,2,7,1,42,3.6,-1.41,68,Y,-1.51,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +7,3,2358,7,2,7,5,44,3.6,0.35,69,Y,-0.54,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +2,1,2364,2,1,7,1,28,3.6,-1.03,69,Y,-1.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,644.210514,f 640-700,f 640-700,0.9993191,3.6 +9,8,2392,9,2,7,1,35,3.6,1.01,67,Y,0.74,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,2404,10,1,7,1,44,3.6,1.38,69,Y,1.34,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +1,2,2477,1,1,6,4,35,3.6,-1.36,61,Y,-1.12,P,7,P,94,1,3,-54,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +6,7,2525,6,1,7,3,39,3.6,0.2,69,Y,0.45,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,7,2527,9,1,7,1,36.5,3.6,0.9,67,Y,0.38,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,778.4210345,g 700+,h 760-820,0.9993191,3.6 +9,9,2552,9,1,7,4,44,3.6,1.2,66,Y,0.88,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +10,9,2558,10,2,7,4,34.5,3.6,1.68,66,Y,1.24,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.8420885,g 700+,g 700-760,0.9993191,3.6 +10,10,2590,10,1,7,1,44,3.6,1.62,62,Y,1.66,P,2,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +3,5,2611,3,2,7,4,33.5,3.6,-0.55,69,Y,-0.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,731.0526155,g 700+,g 700-760,0.9993191,3.6 +7,4,2617,7,1,7,4,34,3.6,0.28,69,Y,-0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,5,2624,5,2,7,4,41,3.6,-0.25,61,Y,-0.2,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +9,5,2693,9,2,8,3,43,3.6,1.1,69,Y,-0.08,P,2,P,95,1,3,-67,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +6,7,2707,6,1,7,1,36,3.6,0.23,69,Y,0.42,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,10,2710,10,1,7,1,38,3.6,1.8,69,Y,1.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,4,2717,5,2,7,1,42,3.6,-0.19,68,Y,-0.49,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +9,9,2723,9,2,7,4,40,3.6,1.09,68,Y,0.98,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +8,8,2724,8,2,7,4,41,3.6,0.73,66,Y,0.84,P,2,P,94,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +4,4,2728,4,1,7,5,42,3.6,-0.25,67,Y,-0.28,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +10,8,2737,10,2,7,4,45,3.6,1.59,68,Y,0.76,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +6,6,2747,6,1,8,3,41,3.6,0.23,67,Y,0.25,P,7,P,94,1,,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +10,10,2756,10,1,7,5,42,3.6,1.63,69,Y,1.39,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +,,2760,8,1,7,5,46,3.6,0.78,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +2,3,2778,2,1,6,4,28,3.6,-0.89,61,Y,-0.68,F,2,F,95,2,3,-59,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,644.210514,f 640-700,f 640-700,0.9993191,3.6 +10,10,2779,10,2,7,1,34,3.6,1.68,69,Y,1.93,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,4,2788,4,1,7,1,41,3.6,-0.34,68,Y,-0.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +4,4,2828,4,1,7,1,41,3.6,-0.4,69,Y,-0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +1,1,2842,1,2,1,5,30.5,3.6,-1.29,60,Y,-2.08,P,2,P,95,1,3,-58,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,6,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +7,4,2846,7,2,7,1,39,3.6,0.38,59,Y,-0.36,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,4,2883,6,1,7,1,35,3.6,0.09,69,Y,-0.33,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,8,2884,9,2,7,1,41,3.6,1.08,69,Y,0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +,,2946,9,2,7,5,45,3.6,1.11,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +7,8,2947,7,2,7,3,35,3.6,0.31,69,Y,0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,2,2972,2,2,7,5,46,3.6,-0.9,69,Y,-1.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +3,1,2979,3,1,7,5,44,3.6,-0.64,69,Y,-1.3,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +10,10,2992,10,1,7,1,34,3.6,1.34,66,Y,1.49,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,9,2996,7,2,7,1,40,3.6,0.46,65,Y,0.9,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +9,10,2997,9,2,7,1,40,3.6,0.98,67,Y,1.3,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,3008,,2,6,5,48,3.6,,69,Y,0,P,7,P,94,1,,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +3,5,3044,3,1,2,1,37,3.6,-0.66,67,Y,-0.02,P,7,P,94,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,5,3045,4,1,7,4,40,3.6,-0.37,69,Y,-0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +1,1,3094,1,2,5,4,27,3.6,-1.9,67,Y,-2.35,F,7,F,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,628.421041,e 580-640,e 580-640,0.9993191,3.6 +3,2,3113,4,2,7,2,30,3.6,-0.54,68,Y,-1.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,675.78946,f 640-700,f 640-700,0.9993191,3.6 +3,3,3158,3,2,7,4,34,3.6,-0.55,65,Y,-0.79,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +3,8,3171,4,2,7,1,42,3.6,-0.5,69,Y,0.83,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +6,4,3194,6,1,7,2,30,3.6,0.19,67,Y,-0.34,P,7,P,94,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,675.78946,f 640-700,f 640-700,0.9993191,3.6 +4,5,3213,4,1,7,4,41,3.6,-0.25,68,Y,-0.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +4,5,3226,5,2,2,5,46,3.6,-0.19,68,Y,-0.15,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +6,7,3229,6,1,7,2,35,3.6,0.2,61,Y,0.3,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,3234,10,1,7,3,36,3.6,1.58,69,Y,1.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +1,2,3248,2,1,7,1,29,3.6,-1.26,63,Y,-1.14,F,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,659.999987,f 640-700,f 640-700,0.9993191,3.6 +8,8,3290,8,2,7,4,46,3.6,0.66,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +7,7,3322,7,2,7,4,39,3.6,0.4,69,Y,0.44,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,10,3326,9,1,7,4,38,3.6,1.25,69,Y,1.57,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +7,4,3327,7,2,7,1,43,3.6,0.37,68,Y,-0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +8,9,3337,8,1,7,3,39,3.6,0.62,69,Y,1.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,8,3413,10,1,7,4,42,3.6,1.39,67,Y,0.75,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +6,4,3418,6,1,7,4,43,3.6,0.14,62,Y,-0.43,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +8,7,3432,8,2,7,3,37,3.6,0.79,69,Y,0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,6,3473,7,1,7,3,33,3.6,0.42,64,Y,0.04,P,7,P,94,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +1,1,3491,1,1,7,1,32.5,3.6,-1.63,54,Y,-1.68,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,715.2631425,g 700+,g 700-760,0.9993191,3.6 +7,6,3496,7,2,6,1,32,3.6,0.37,69,Y,0.19,P,2,P,94,1,2,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +,,3516,,1,7,,34,3.6,1.09,68,Y,1.1,P,7,P,94,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,7,3545,5,1,7,4,33,3.6,-0.15,69,Y,0.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,723.157879,g 700+,g 700-760,0.9993191,3.6 +9,8,3550,9,1,7,1,40,3.6,1.24,65,Y,0.81,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +7,8,3564,7,1,7,5,40.5,3.6,0.45,67,Y,0.6,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,841.5789265,g 700+,i 820+,0.9993191,3.6 +6,3,3584,6,2,7,3,32.5,3.6,0.24,68,Y,-0.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,715.2631425,g 700+,g 700-760,0.9993191,3.6 +3,3,3593,4,1,7,3,40,3.6,-0.48,68,Y,-0.78,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +4,4,3608,4,2,7,3,35,3.6,-0.33,68,Y,-0.53,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +6,9,3620,6,2,7,1,38.5,3.6,0.25,68,Y,1,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,809.9999805,g 700+,h 760-820,0.9993191,3.6 +10,10,3622,10,2,7,3,40,3.6,1.61,66,Y,1.58,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +2,1,3623,3,1,7,3,32,3.6,-0.77,52,Y,-1.77,F,7,P,95,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +5,6,3638,5,2,7,1,39,3.6,0.04,68,Y,0.22,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,4,3648,3,1,7,1,42,3.6,-0.64,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +9,9,3650,9,2,7,1,39,3.6,1.21,69,Y,1.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,4,3657,5,1,7,3,35,3.6,-0.24,62,Y,-0.45,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,10,3674,9,1,7,3,37,3.6,1.13,69,Y,1.54,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +5,4,3676,5,2,7,5,47,3.6,-0.07,68,Y,-0.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +4,5,3686,5,1,7,3,30.5,3.6,-0.24,69,Y,-0.22,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +8,9,3694,8,1,7,3,35,3.6,0.68,64,Y,1.04,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,8,3704,7,1,7,3,33,3.6,0.46,69,Y,0.72,P,7,P,94,2,2,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +8,7,3707,8,2,7,5,44,3.6,0.82,68,Y,0.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +2,2,3712,3,1,7,3,27,3.6,-0.75,64,Y,-1.01,P,7,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.421041,e 580-640,e 580-640,0.9993191,3.6 +,,3718,,1,7,1,40,3.6,,62,Y,,P,7,P,95,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,3730,10,1,6,1,42,3.6,1.5,70,Y,1.49,P,7,P,94,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +3,5,3736,3,1,7,1,35,3.6,-0.56,66,Y,-0.21,P,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,9,3742,7,1,7,4,45,3.6,0.51,68,Y,1.2,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +4,9,3755,4,2,7,3,39,3.6,-0.3,62,Y,0.91,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +,,3814,7,1,7,5,46,3.6,0.49,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +4,10,3826,4,1,7,4,35,3.6,-0.26,67,Y,2.24,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,8,3909,8,2,7,3,31,3.6,0.56,57,Y,0.56,P,7,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +8,6,3917,8,2,7,1,36,3.6,0.72,63,Y,0.21,F,7,P,96,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,5,3926,8,2,7,4,47,3.6,0.61,63,Y,-0.1,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +4,5,3928,5,2,7,3,40,3.6,-0.24,70,Y,-0.25,P,2,P,94,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +6,9,3937,7,1,7,1,37,3.6,0.32,59,Y,1.01,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +3,1,3942,3,2,7,3,34,3.6,-0.63,68,Y,-1.34,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,7,3999,9,1,7,4,42,3.6,1.07,66,Y,0.54,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +,,4009,,1,7,1,38,3.6,,61,Y,2.03,P,2,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +1,4,4027,2,1,7,5,39,3.6,-1.21,67,Y,-0.42,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,5,4045,4,1,7,3,36.5,3.6,-0.28,69,Y,-0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,778.4210345,g 700+,h 760-820,0.9993191,3.6 +2,2,4046,2,1,7,5,47,3.6,-1.1,67,Y,-0.98,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +5,6,4050,5,2,7,3,34,3.6,-0.13,68,Y,0.17,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,4,4059,5,1,7,3,30,3.6,-0.16,55,Y,-0.41,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +5,7,4065,5,2,7,4,36.5,3.6,-0.1,68,Y,0.27,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,778.4210345,g 700+,h 760-820,0.9993191,3.6 +2,2,4072,3,2,7,4,42,3.6,-0.78,68,Y,-0.91,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +1,1,4074,1,1,7,1,34,3.6,-1.87,69,Y,-1.34,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,6,4084,4,2,7,1,40,3.6,-0.41,68,Y,0.16,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +9,9,4133,9,2,7,1,39,3.6,1.08,69,Y,1.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,10,4136,10,2,7,3,30,3.6,1.42,69,Y,1.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +,,4140,,1,7,1,38,3.6,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,4155,,2,7,5,37,3.6,,65,Y,,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,6,4163,6,2,7,1,37,3.6,0.14,69,Y,0.03,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +5,3,4191,5,2,7,5,48,3.6,-0.03,69,Y,-0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +5,6,4200,5,2,7,1,44,3.6,-0.09,69,Y,0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +,,4205,8,1,7,5,47,3.6,0.82,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +6,8,4221,7,1,7,1,37,3.6,0.32,69,Y,0.63,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +3,3,4231,3,2,7,1,37,3.6,-0.61,68,Y,-0.68,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,4,4267,7,2,2,1,40,3.6,0.33,69,Y,-0.42,F,7,P,95,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +5,5,4280,6,1,7,1,34.5,3.6,0.06,66,Y,-0.06,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.8420885,g 700+,g 700-760,0.9993191,3.6 +8,8,4283,8,2,7,3,30,3.6,0.75,68,Y,0.68,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +5,7,4311,5,2,7,3,39,3.6,-0.02,46,Y,0.31,P,7,P,94,1,2,-39,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,9,4314,10,1,7,3,39,3.6,1.3,69,Y,1.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +2,2,4318,2,2,7,1,39,3.6,-1.03,69,Y,-1.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,7,4333,8,1,7,1,41,3.6,0.75,69,Y,0.52,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +6,5,4334,6,1,7,1,30.5,3.6,0.15,55,Y,-0.24,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +8,7,4352,8,2,7,1,43,3.6,0.63,69,Y,0.49,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +,,4398,7,1,7,5,45,3.6,0.43,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +1,1,4406,2,2,4,1,26,3.6,-1.23,68,Y,-1.41,F,7,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,612.631568,e 580-640,e 580-640,0.9993191,3.6 +2,1,4417,2,2,7,4,27,3.6,-0.98,68,Y,-1.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,628.421041,e 580-640,e 580-640,0.9993191,3.6 +7,9,4468,7,1,7,1,40,3.6,0.55,67,Y,0.94,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +7,5,4479,7,1,2,5,45,3.6,0.37,67,Y,-0.07,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +5,5,4498,6,2,7,1,39,3.6,0.08,69,Y,-0.14,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,3,4522,4,1,7,1,33,3.6,-0.47,69,Y,-0.7,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +10,10,4526,10,1,7,4,45,3.6,1.83,67,Y,1.61,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +2,1,4532,2,2,7,1,39,3.6,-0.83,68,Y,-1.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,7,4554,7,2,7,2,42,3.6,0.2,68,Y,0.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,865.263136,g 700+,i 820+,0.9993191,3.6 +9,9,4570,9,2,7,1,45,3.6,0.98,69,Y,0.92,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +10,10,4656,10,1,7,1,40,3.6,2.02,68,Y,1.33,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +1,1,4673,1,2,3,5,33,3.6,-1.68,69,Y,-1.79,P,7,P,95,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,723.157879,g 700+,g 700-760,0.9993191,3.6 +7,8,4694,8,1,7,3,41,3.6,0.52,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +5,7,4705,5,2,7,1,37,3.6,0.03,55,Y,0.45,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +8,9,4747,8,2,7,1,45,3.6,0.76,65,Y,0.89,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +7,7,4769,7,1,7,4,40,3.6,0.54,62,Y,0.38,P,7,P,95,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +4,3,4777,4,1,7,4,36,3.6,-0.31,68,Y,-0.72,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,7,4795,7,2,7,1,34,3.6,0.37,68,Y,0.32,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,4,4800,5,2,7,1,31.5,3.6,-0.14,65,Y,-0.26,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +9,9,4803,9,2,7,3,34,3.6,0.9,68,Y,1.11,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +2,2,4808,2,1,7,1,29,3.6,-1.07,69,Y,-0.99,P,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,659.999987,f 640-700,f 640-700,0.9993191,3.6 +2,2,4819,2,1,7,1,36,3.6,-0.88,68,Y,-1.17,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,2,4847,6,2,7,3,33,3.6,0.08,69,Y,-0.95,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +9,8,4855,9,1,7,3,36,3.6,1.1,69,Y,0.77,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +5,4,4882,5,2,7,5,42,3.6,-0.16,68,Y,-0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +9,10,4883,9,1,7,1,37,3.6,0.9,67,Y,1.41,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,5,4892,8,1,7,3,30,3.6,0.53,63,Y,-0.17,P,2,P,96,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +10,10,4895,10,1,7,1,32,3.6,1.75,68,Y,1.9,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +10,10,4971,10,1,7,1,39,3.6,1.63,68,Y,1.68,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,4,4974,7,2,7,4,45,3.6,0.26,69,Y,-0.35,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +8,7,4979,8,2,7,1,40,3.6,0.72,69,Y,0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +7,6,4997,7,1,8,1,36,3.6,0.33,56,Y,0.1,P,7,P,94,1,4,-49,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,6,5007,7,1,6,3,31,3.6,0.33,68,Y,0.1,P,2,P,94,1,3,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +6,9,5023,6,2,7,4,35,3.6,0.14,59,Y,1.04,P,2,P,96,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +8,9,5029,9,2,7,3,34,3.6,0.85,68,Y,1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,6,5035,7,2,7,4,41,3.6,0.42,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +8,8,5037,8,1,7,1,32,3.6,0.72,58,Y,0.75,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +2,2,5042,2,1,6,4,29,3.6,-0.84,57,Y,-1.09,P,7,P,94,1,2,-50,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,659.999987,f 640-700,f 640-700,0.9993191,3.6 +,,5057,,2,7,1,38,3.6,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,4,5064,4,2,7,3,29.5,3.6,-0.26,67,Y,-0.35,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.8947235,f 640-700,f 640-700,0.9993191,3.6 +7,9,5069,7,1,7,1,39,3.6,0.54,66,Y,0.99,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,3,5095,4,1,7,1,41,3.6,-0.32,69,Y,-0.64,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +9,9,5116,9,2,7,3,35,3.6,0.93,69,Y,1,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +1,2,5126,1,2,4,5,31,3.6,-1.25,58,Y,-1.11,F,7,P,95,1,1,-51,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,8,5199,10,2,7,3,40,3.6,1.45,64,Y,0.81,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +8,8,5211,9,2,7,2,37,3.6,0.84,69,Y,0.57,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,8,5239,7,2,7,1,38,3.6,0.57,69,Y,0.64,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,6,5243,5,1,7,3,33,3.6,-0.13,66,Y,0.15,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +8,9,5268,8,2,7,4,37.5,3.6,0.8,67,Y,0.99,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,794.2105075,g 700+,h 760-820,0.9993191,3.6 +1,2,5274,2,2,7,4,35.5,3.6,-1.23,66,Y,-0.98,F,7,F,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,762.6315615,g 700+,h 760-820,0.9993191,3.6 +9,9,5280,9,1,7,3,31,3.6,1.23,55,Y,1.31,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +1,2,5283,1,2,3,3,17.5,3.6,-1.54,68,Y,-1.13,P,7,P,94,1,,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,478.4210475,c 460-520,c 460-520,0.9993191,3.6 +5,7,5294,5,2,7,2,27,3.6,-0.2,68,Y,0.23,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.421041,e 580-640,e 580-640,0.9993191,3.6 +6,7,5310,6,1,7,3,37,3.6,0.23,69,Y,0.33,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,8,5321,9,2,7,2,33,3.6,0.9,68,Y,0.73,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,723.157879,g 700+,g 700-760,0.9993191,3.6 +3,4,5323,3,2,2,4,45,3.6,-0.58,69,Y,-0.35,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +3,5,5356,3,1,7,3,25.5,3.6,-0.63,48,Y,-0.2,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.7368315,e 580-640,e 580-640,0.9993191,3.6 +8,8,5377,8,2,7,3,37.5,3.6,0.65,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,794.2105075,g 700+,h 760-820,0.9993191,3.6 +2,3,5395,3,1,7,3,35,3.6,-0.79,50,Y,-0.65,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +1,8,5399,1,2,7,1,41,3.6,-1.59,65,Y,0.67,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +,,5501,,1,7,2,37,3.6,,69,Y,-1.26,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,6,5528,5,1,2,1,35,3.6,-0.22,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +1,1,5530,1,2,3,3,24,3.6,-1.54,57,Y,-1.7,F,7,F,95,1,1,-50,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,581.052622,e 580-640,e 580-640,0.9993191,3.6 +5,6,5554,5,1,7,3,37,3.6,-0.02,70,Y,0.2,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,7,5580,9,2,7,3,37,3.6,0.87,68,Y,0.47,P,7,P,95,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,6,5588,7,1,7,2,35,3.6,0.29,68,Y,0.11,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,754.736825,g 700+,g 700-760,0.9993191,3.6 +5,2,5589,6,2,7,1,34,3.6,0.05,69,Y,-1.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,4,5594,5,2,7,3,36,3.6,-0.1,55,Y,-0.42,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +5,6,5615,5,1,7,3,32.5,3.6,-0.14,63,Y,0.09,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,715.2631425,g 700+,g 700-760,0.9993191,3.6 +6,7,5634,6,2,7,1,33,3.6,0.18,66,Y,0.45,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +7,8,5643,7,1,4,1,28.5,3.6,0.45,68,Y,0.6,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,652.1052505,f 640-700,f 640-700,0.9993191,3.6 +5,6,5644,6,2,7,5,47,3.6,0.08,66,Y,0.1,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +9,10,5659,9,2,7,1,43,3.6,0.92,67,Y,1.32,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +8,9,5675,8,1,7,1,40,3.6,0.87,65,Y,1.16,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +1,3,5707,2,1,7,1,34,3.6,-1.21,68,Y,-0.8,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +1,1,5728,1,1,7,5,42,3.6,-1.62,66,Y,-1.65,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +8,9,5743,9,2,7,1,38,3.6,0.9,52,Y,1.12,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +7,7,5752,7,2,7,3,38,3.6,0.48,69,Y,0.32,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +1,1,5756,1,2,7,1,37,3.6,-1.31,69,Y,-1.45,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,3,5778,4,2,7,5,41,3.6,-0.22,69,Y,-0.64,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +1,2,5809,2,2,7,1,35,3.6,-1.19,63,Y,-0.96,P,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,3,5811,2,2,7,4,39,3.6,-1.06,63,Y,-0.74,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +1,3,5829,1,1,7,1,35.5,3.6,-1.52,69,Y,-0.69,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.6315615,g 700+,h 760-820,0.9993191,3.6 +8,9,5832,8,1,7,3,35.5,3.6,0.8,67,Y,0.89,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.6315615,g 700+,h 760-820,0.9993191,3.6 +7,7,5844,7,2,6,2,25,3.6,0.33,65,Y,0.4,P,7,P,94,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,596.842095,e 580-640,e 580-640,0.9993191,3.6 +5,7,5847,5,1,7,1,39,3.6,0.03,65,Y,0.43,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,6,5856,9,1,7,1,33,3.6,0.94,68,Y,0.03,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +6,5,5866,6,1,7,1,26,3.6,0.26,70,Y,-0.21,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,612.631568,e 580-640,e 580-640,0.9993191,3.6 +1,4,5879,1,2,7,5,44,3.6,-1.44,69,Y,-0.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +,,5884,6,2,7,3,38,3.6,0.14,69,Y,,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,9,5887,9,1,7,3,36,3.6,1.21,63,Y,1.24,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,5,5893,6,2,7,1,37,3.6,0.29,67,Y,-0.1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +3,4,5904,3,1,7,1,34,3.6,-0.53,53,Y,-0.32,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +8,8,5908,8,2,7,4,47,3.6,0.81,69,Y,0.7,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +3,4,5928,3,2,7,1,44,3.6,-0.67,69,Y,-0.43,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +8,7,5933,8,2,8,4,46,3.6,0.65,69,Y,0.42,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +1,1,5935,2,2,6,3,34,3.6,-1.26,69,Y,-1.56,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,8,5959,9,2,7,1,43,3.6,0.92,62,Y,0.79,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +7,6,5968,7,2,7,4,44,3.6,0.41,69,Y,0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +10,9,5974,10,1,7,4,43,3.6,1.31,67,Y,1.15,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +10,5,5993,10,1,7,1,36,3.6,1.84,69,Y,-0.24,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,8,6020,7,1,7,4,43,3.6,0.32,69,Y,0.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +10,9,6022,10,1,7,1,42,3.6,1.4,64,Y,1.17,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +8,7,6032,8,1,7,4,34,3.6,0.6,69,Y,0.42,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,4,6033,4,2,7,5,47,3.6,-0.37,67,Y,-0.49,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +10,10,6040,10,2,7,1,42,3.6,1.78,66,Y,1.58,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +9,7,6059,9,1,7,4,48,3.6,0.93,68,Y,0.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,959.999974,g 700+,i 820+,0.9993191,3.6 +1,1,6062,1,1,3,3,25,3.6,-1.94,64,Y,-1.62,F,7,P,95,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,596.842095,e 580-640,e 580-640,0.9993191,3.6 +,,6099,,2,7,5,45,3.6,,66,Y,0,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +2,3,6107,3,1,7,1,33,3.6,-0.79,55,Y,-0.57,P,7,P,94,1,2,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +9,9,6109,9,1,7,3,37,3.6,1.1,59,Y,1.1,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,6,6119,7,2,7,4,43,3.6,0.38,65,Y,0.1,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,6122,10,1,7,4,37,3.6,1.44,65,Y,1.87,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +3,4,6129,3,1,7,1,37,3.6,-0.55,55,Y,-0.4,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +3,2,6141,3,1,7,3,33,3.6,-0.62,67,Y,-0.98,P,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +7,7,6147,7,2,7,1,36.3,3.6,0.38,61,Y,0.54,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.2631399,g 700+,h 760-820,0.9993191,3.6 +3,5,6166,3,1,7,3,39,3.6,-0.66,70,Y,-0.27,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,9,6179,8,2,7,4,34,3.6,0.61,69,Y,0.94,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,4,6180,5,1,7,1,27.5,3.6,-0.08,66,Y,-0.48,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,636.3157775,e 580-640,e 580-640,0.9993191,3.6 +8,6,6186,8,1,7,3,31,3.6,0.58,54,Y,0.03,P,2,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +5,7,6195,6,2,7,3,39,3.6,0.01,68,Y,0.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +,,6200,,1,7,5,42,3.6,,65,Y,,P,2,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +10,9,6216,10,2,7,5,37,3.6,1.79,68,Y,0.86,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,6286,5,2,4,5,41,3.6,0.05,69,Y,,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +6,8,6290,6,2,2,4,44,3.6,0.08,67,Y,0.68,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +8,8,6298,8,2,7,4,47,3.6,0.67,70,Y,0.61,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +1,7,6323,1,1,7,3,32,3.6,-1.36,51,Y,0.44,P,2,P,95,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +3,5,6334,4,1,7,3,39,3.6,-0.44,61,Y,-0.26,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,2,6336,3,1,1,1,31,3.6,-0.58,68,Y,-0.95,P,7,P,94,1,4,-61,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +5,8,6345,5,2,7,4,33,3.6,-0.01,68,Y,0.59,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,723.157879,g 700+,g 700-760,0.9993191,3.6 +7,7,6360,7,2,7,3,34,3.6,0.47,63,Y,0.47,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +,,6371,6,2,7,5,40.5,3.6,0.11,67,Y,,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,841.5789265,g 700+,i 820+,0.9993191,3.6 +8,9,6413,8,2,7,1,42,3.6,0.77,66,Y,0.88,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +,,6415,8,2,7,5,43,3.6,0.79,68,Y,,P,2,P,96,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +,,6481,,2,7,5,43,3.6,,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +1,1,6488,2,2,7,5,42,3.6,-1.21,68,Y,-1.8,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +1,1,6509,1,1,7,5,39,3.6,-1.85,68,Y,-1.83,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,10,6521,9,2,7,1,37,3.6,1.14,68,Y,1.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,6,6544,7,2,7,3,40,3.6,0.28,68,Y,0.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,6591,10,2,7,4,42,3.6,1.54,66,Y,1.31,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +,,6675,,1,7,1,37,3.6,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,6685,10,1,7,3,41,3.6,1.41,65,Y,1.97,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +10,10,6713,10,1,7,1,39,3.6,2.07,66,Y,1.41,P,2,P,95,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,6,6776,9,1,7,4,36,3.6,1.27,69,Y,0.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,10,6785,10,2,7,5,46,3.6,1.85,66,Y,1.68,P,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +1,3,6791,1,2,7,5,41.5,3.6,-1.73,69,Y,-0.75,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,857.3683995,g 700+,i 820+,0.9993191,3.6 +10,10,6793,10,2,7,4,45,3.6,1.58,69,Y,1.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +8,9,6796,8,2,7,3,39,3.6,0.61,68,Y,1.16,P,7,P,95,2,2,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,8,6811,9,2,7,1,43,3.6,1.23,68,Y,0.87,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,6822,10,1,7,1,39,3.6,1.88,68,Y,2.02,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,3,6827,3,2,7,4,34,3.6,-0.57,54,Y,-0.82,P,2,P,96,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +6,7,6829,7,1,7,1,41,3.6,0.32,68,Y,0.35,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +8,7,6865,8,2,7,1,37,3.6,0.71,69,Y,0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,6867,8,1,7,5,40,3.6,0.94,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +3,4,6880,3,2,7,3,37,3.6,-0.67,65,Y,-0.39,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +8,8,6894,8,2,7,1,36,3.6,0.68,69,Y,0.62,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,5,6900,6,1,7,4,45,3.6,0.2,69,Y,-0.2,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +2,2,6905,3,2,7,4,41,3.6,-0.77,69,Y,-1.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +,,6909,10,2,7,3,47,3.6,1.42,47,Y,,P,2,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,944.210501,g 700+,i 820+,0.9993191,3.6 +,,6918,9,2,7,3,39,3.6,1.13,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,3,6931,3,1,7,5,45,3.6,-0.78,68,Y,-0.51,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +10,10,6932,10,1,7,3,29.5,3.6,1.75,68,Y,1.95,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.8947235,f 640-700,f 640-700,0.9993191,3.6 +8,8,6996,9,1,7,3,34,3.6,0.85,50,Y,0.71,P,7,P,95,2,3,-43,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +8,7,7013,8,2,7,5,47,3.6,0.9,69,Y,0.47,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +8,8,7027,8,1,7,2,38,3.6,0.68,62,Y,0.58,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,802.105244,g 700+,h 760-820,0.9993191,3.6 +7,6,7046,7,1,7,2,34,3.6,0.37,68,Y,0.15,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,2,7075,4,2,7,1,35,3.6,-0.42,62,Y,-0.98,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,9,7076,9,2,7,3,38,3.6,1.01,68,Y,1.03,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,7,7088,8,1,7,1,32.5,3.6,0.63,66,Y,0.38,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,715.2631425,g 700+,g 700-760,0.9993191,3.6 +2,1,7095,2,2,2,1,37,3.6,-0.94,67,Y,-1.52,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +1,1,7104,1,1,7,3,31,3.6,-2.18,51,Y,-1.37,P,7,P,95,2,3,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +3,4,7126,3,1,7,3,33,3.6,-0.56,70,Y,-0.37,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +7,8,7133,7,1,7,3,34,3.6,0.46,69,Y,0.59,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +3,6,7146,3,1,7,1,38,3.6,-0.64,69,Y,0.06,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,7160,4,1,7,5,42,3.6,-0.45,70,Y,,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +8,7,7164,8,2,7,1,38,3.6,0.77,69,Y,0.55,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,8,7191,9,1,7,5,47,3.6,0.98,69,Y,0.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +2,4,7207,2,1,6,3,26,3.6,-1.05,69,Y,-0.52,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,612.631568,e 580-640,e 580-640,0.9993191,3.6 +4,3,7238,4,1,7,3,34,3.6,-0.25,69,Y,-0.58,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +,,7246,,1,7,5,37,3.6,,69,Y,,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,8,7270,9,1,7,1,37,3.6,0.98,61,Y,0.64,P,2,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,7287,,1,2,5,46,3.6,,69,Y,0,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +7,8,7337,7,1,8,4,37,3.6,0.5,69,Y,0.86,P,7,P,94,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,7371,10,2,7,2,33,3.6,1.52,70,Y,1.38,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,723.157879,g 700+,g 700-760,0.9993191,3.6 +3,6,7379,3,2,7,1,39,3.6,-0.57,68,Y,0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,5,7387,4,1,7,1,30.7,3.6,-0.46,68,Y,-0.17,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.8420911,f 640-700,f 640-700,0.9993191,3.6 +7,8,7440,7,2,7,1,45,3.6,0.55,69,Y,0.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +7,8,7453,8,1,7,3,39,3.6,0.52,70,Y,0.58,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,5,7475,6,2,7,1,35,3.6,0.21,69,Y,-0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +1,4,7517,2,1,7,3,30,3.6,-1.28,62,Y,-0.35,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +4,7,7523,4,2,7,4,42,3.6,-0.33,69,Y,0.35,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +2,4,7533,2,1,7,3,23,3.6,-1.03,45,Y,-0.54,F,7,P,96,2,3,-38,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,565.263149,d 520-580,d 520-580,0.9993191,3.6 +8,5,7535,8,2,7,2,30,3.6,0.71,69,Y,-0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,675.78946,f 640-700,f 640-700,0.9993191,3.6 +1,1,7546,2,1,3,4,36,3.6,-1.2,66,Y,-1.78,F,2,F,96,1,2,-64,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +3,4,7570,4,2,7,1,42,3.6,-0.43,65,Y,-0.45,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +3,5,7579,4,1,7,5,44,3.6,-0.49,66,Y,-0.21,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +4,7,7583,4,1,7,3,39,3.6,-0.41,68,Y,0.3,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,5,7606,6,2,7,1,40,3.6,0.19,69,Y,-0.12,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +4,3,7632,4,1,7,1,37,3.6,-0.41,70,Y,-0.64,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +8,9,7653,8,2,7,1,41,3.6,0.67,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +5,5,7670,5,1,7,4,34,3.6,-0.1,68,Y,-0.2,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +,,7690,4,2,7,5,42,3.6,-0.21,65,Y,,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +8,8,7703,8,1,7,1,43,3.6,0.84,68,Y,0.58,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +3,1,7712,3,2,7,4,47,3.6,-0.56,62,Y,-1.3,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +6,6,7751,6,2,7,2,32,3.6,0.19,67,Y,0,F,7,P,96,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,707.368406,g 700+,g 700-760,0.9993191,3.6 +10,10,7768,10,2,7,4,42,3.6,2.02,68,Y,2.17,P,2,P,96,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +9,9,7780,9,2,7,5,41,3.6,1.28,69,Y,1.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +4,2,7785,4,2,7,1,35,3.6,-0.42,69,Y,-0.88,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,8,7793,10,2,7,3,39,3.6,1.34,69,Y,0.76,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +1,1,7806,1,2,7,3,40,3.6,-1.52,69,Y,-1.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +6,6,7808,6,2,7,3,43,3.6,0.18,69,Y,0.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +3,5,7825,3,2,6,4,37,3.6,-0.65,60,Y,-0.14,P,7,P,94,1,3,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +3,3,7828,3,2,7,1,39,3.6,-0.69,68,Y,-0.59,P,1,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,6,7847,7,2,7,1,39,3.6,0.34,65,Y,0.18,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,6,7850,5,2,7,1,34,3.6,0.01,65,Y,0.12,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +8,5,7851,8,1,7,3,34,3.6,0.61,50,Y,-0.15,P,7,P,94,1,4,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +10,9,7853,10,1,7,1,40,3.6,1.81,68,Y,1.24,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +4,2,7899,4,2,7,4,46,3.6,-0.29,69,Y,-0.88,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +3,5,7911,3,2,7,5,44,3.6,-0.67,68,Y,-0.13,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +7,7,7924,7,2,7,5,45,3.6,0.55,69,Y,0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +9,10,7925,9,1,7,5,42,3.6,1.42,69,Y,1.45,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +5,4,7938,5,2,6,4,37,3.6,-0.02,64,Y,-0.25,P,7,P,94,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,7940,10,2,7,1,43,3.6,1.57,60,Y,2.07,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +6,6,7952,7,2,7,1,40,3.6,0.31,69,Y,0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +5,6,7965,5,1,7,3,33,3.6,-0.04,54,Y,0.24,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +10,9,7969,10,1,7,3,35,3.6,1.33,68,Y,1.26,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +3,5,7974,4,1,7,4,41,3.6,-0.47,62,Y,-0.14,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +3,2,7988,3,1,2,1,30.5,3.6,-0.7,68,Y,-1.18,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +10,10,7991,10,1,6,3,27,3.6,1.32,68,Y,1.45,P,7,P,94,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.421041,e 580-640,e 580-640,0.9993191,3.6 +2,5,8026,3,1,7,3,31,3.6,-0.79,68,Y,-0.24,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +9,9,8033,10,2,7,1,39,3.6,1.3,68,Y,1.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,2,8041,3,1,7,1,36,3.6,-0.62,69,Y,-0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +2,4,8052,2,2,7,1,39,3.6,-0.97,68,Y,-0.49,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,9,8124,9,2,7,4,39,3.6,1.04,69,Y,0.91,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,4,8167,5,2,7,1,33,3.6,-0.05,65,Y,-0.27,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +2,3,8177,2,2,7,1,42,3.6,-0.84,69,Y,-0.86,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +1,1,8187,1,1,3,4,38,3.6,-2.01,68,Y,-1.61,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,2,8189,4,1,7,1,45,3.6,-0.4,67,Y,-1.12,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +7,7,8202,7,2,2,4,43,3.6,0.45,69,Y,0.46,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +8,9,8223,8,2,7,5,46,3.6,0.78,69,Y,1.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +7,6,8228,7,2,7,4,43,3.6,0.34,61,Y,0.2,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,8229,10,2,7,1,39,3.6,1.61,70,Y,1.47,P,7,P,95,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,8,8240,7,2,7,1,39,3.6,0.44,68,Y,0.84,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,3,8248,3,1,3,5,30,3.6,-0.67,69,Y,-0.55,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,675.78946,f 640-700,f 640-700,0.9993191,3.6 +6,6,8297,6,1,7,1,33,3.6,0.24,69,Y,0.11,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +2,2,8304,2,2,7,3,38,3.6,-1.03,69,Y,-0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +7,6,8334,7,2,7,4,48,3.6,0.29,68,Y,0.13,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,959.999974,g 700+,i 820+,0.9993191,3.6 +1,1,8351,1,1,3,3,26,3.6,-1.74,69,Y,-1.8,P,7,P,94,1,1,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,612.631568,e 580-640,e 580-640,0.9993191,3.6 +3,2,8376,3,1,7,3,44,3.6,-0.56,70,Y,-0.95,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,896.842082,g 700+,i 820+,0.9993191,3.6 +3,5,8377,3,1,7,5,43,3.6,-0.66,69,Y,-0.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +2,3,8378,2,1,2,4,40,3.6,-0.87,70,Y,-0.67,P,7,P,94,1,4,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +7,8,8400,7,2,7,5,46,3.6,0.51,68,Y,0.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +4,3,8410,4,1,4,1,31,3.6,-0.42,67,Y,-0.79,P,7,P,94,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +,,8415,,1,7,5,40,3.6,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +9,9,8426,9,2,7,1,36,3.6,0.94,61,Y,0.94,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +,,8458,3,2,7,3,32.5,3.6,-0.56,68,Y,,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,715.2631425,g 700+,g 700-760,0.9993191,3.6 +7,7,8470,7,1,7,3,35,3.6,0.33,69,Y,0.31,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,8,8473,10,2,7,3,47,3.6,1.41,69,Y,0.76,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,944.210501,g 700+,i 820+,0.9993191,3.6 +7,3,8475,7,2,4,1,30,3.6,0.54,67,Y,-0.67,P,2,P,94,1,4,-65,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,675.78946,f 640-700,f 640-700,0.9993191,3.6 +7,8,8493,7,1,7,1,34,3.6,0.57,68,Y,0.67,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +8,7,8541,8,1,7,1,32,3.6,0.64,68,Y,0.46,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +1,2,8559,2,2,7,3,38,3.6,-1.26,47,Y,-1.09,P,7,P,94,1,2,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,5,8571,5,2,7,3,34.5,3.6,-0.21,68,Y,-0.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.8420885,g 700+,g 700-760,0.9993191,3.6 +7,5,8577,7,2,7,4,44,3.6,0.48,67,Y,-0.08,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +1,2,8591,1,2,7,4,45,3.6,-1.51,68,Y,-1.29,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +6,6,8600,6,1,7,3,31.5,3.6,0.19,69,Y,0.03,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +10,10,8609,10,2,7,2,29.5,3.6,1.63,68,Y,1.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.8947235,f 640-700,f 640-700,0.9993191,3.6 +7,8,8625,7,1,7,1,34,3.6,0.5,44,Y,0.69,P,7,P,94,1,4,-37,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,5,8633,4,1,7,3,35,3.6,-0.29,46,Y,-0.26,P,7,P,94,1,4,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,9,8641,8,2,7,1,37,3.6,0.61,67,Y,0.93,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,8,8652,9,1,7,6,41,3.6,1.16,59,Y,0.8,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,849.473663,g 700+,i 820+,0.9993191,3.6 +2,2,8690,2,1,7,4,30.5,3.6,-1.06,68,Y,-1.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +7,6,8696,7,1,7,6,32,3.6,0.46,68,Y,0.12,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,707.368406,g 700+,g 700-760,0.9993191,3.6 +7,6,8736,7,2,7,1,28,3.6,0.49,69,Y,0.02,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,644.210514,f 640-700,f 640-700,0.9993191,3.6 +4,7,8745,4,2,7,4,45,3.6,-0.45,68,Y,0.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +8,8,8766,8,1,7,3,43,3.6,0.71,67,Y,0.71,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +5,5,8769,5,1,3,6,30,3.6,-0.02,64,Y,-0.21,P,7,P,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,675.78946,f 640-700,f 640-700,0.9993191,3.6 +7,7,8775,7,2,7,3,38,3.6,0.36,67,Y,0.29,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +2,5,8784,2,1,7,1,40,3.6,-1.05,69,Y,0,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,8803,9,2,7,5,48,3.6,1.37,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +7,7,8819,7,1,7,1,45,3.6,0.49,70,Y,0.54,P,2,P,94,1,3,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +9,8,8842,9,2,7,5,48,3.6,1.16,68,Y,0.67,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +8,9,8859,8,1,7,1,39,3.6,0.85,67,Y,1.07,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +2,1,8894,2,1,7,4,39,3.6,-0.98,61,Y,-1.54,P,2,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +1,3,8903,2,2,7,4,45,3.6,-1.23,69,Y,-0.76,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +1,1,8917,2,1,7,1,37,3.6,-1.18,68,Y,-1.68,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,1,8955,3,1,7,2,28,3.6,-0.84,65,Y,-1.37,F,7,F,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,644.210514,f 640-700,f 640-700,0.9993191,3.6 +3,1,8967,3,2,3,4,35.5,3.6,-0.75,53,Y,-1.38,P,7,P,94,1,2,-46,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,762.6315615,g 700+,h 760-820,0.9993191,3.6 +8,9,8980,8,2,7,3,36,3.6,0.75,65,Y,1.07,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,5,8985,7,2,6,3,34,3.6,0.31,68,Y,-0.06,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +8,8,8993,8,1,7,1,33.5,3.6,0.72,64,Y,0.63,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,731.0526155,g 700+,g 700-760,0.9993191,3.6 +7,4,9013,7,2,7,4,45,3.6,0.34,69,Y,-0.28,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +8,8,9018,9,2,7,1,38,3.6,0.88,67,Y,0.65,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +2,5,9052,3,1,7,1,36,3.6,-0.76,69,Y,-0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,10,9059,10,1,7,1,39,3.6,2.62,54,Y,2.65,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +1,2,9066,2,2,7,3,22.7,3.6,-1.28,67,Y,-1.28,F,7,P,96,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,560.5263071,d 520-580,d 520-580,0.9993191,3.6 +2,1,9083,3,2,3,2,29,3.6,-0.77,69,Y,-1.34,F,7,P,95,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,659.999987,f 640-700,f 640-700,0.9993191,3.6 +1,2,9119,1,2,7,3,23,3.6,-1.42,58,Y,-1.08,F,7,F,95,1,5,-51,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,565.263149,d 520-580,d 520-580,0.9993191,3.6 +5,8,9128,6,2,7,4,38,3.6,0.02,60,Y,0.73,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,3,9144,5,1,2,3,27.5,3.6,-0.06,62,Y,-0.56,P,2,P,96,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,636.3157775,e 580-640,e 580-640,0.9993191,3.6 +10,10,9151,10,2,7,4,34,3.6,2.18,64,Y,2.44,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,7,9172,7,1,7,1,36,3.6,0.42,67,Y,0.42,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,6,9174,7,2,7,3,38,3.6,0.4,54,Y,-0.01,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,7,9197,6,2,7,3,37,3.6,-0.01,69,Y,0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,9,9213,9,1,7,3,30,3.6,1.06,68,Y,1.21,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +9,9,9216,9,1,7,1,37,3.6,1.06,65,Y,0.9,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,6,9232,6,2,7,4,46,3.6,0.07,69,Y,0.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +,,9257,,2,,5,44,3.6,0,64,Y,0.29,P,7,P,94,1,4,-57,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +7,7,9264,7,2,7,3,29.5,3.6,0.47,64,Y,0.36,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.8947235,f 640-700,f 640-700,0.9993191,3.6 +2,7,9267,2,1,7,4,46,3.6,-0.84,69,Y,0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +3,6,9278,3,2,7,3,36,3.6,-0.53,69,Y,0.03,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,8,9299,8,1,7,3,36,3.6,0.76,67,Y,0.68,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +9,8,9319,9,2,7,4,44,3.6,1,65,Y,0.61,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +6,9,9367,6,2,7,1,40,3.6,0.2,60,Y,1.05,P,2,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +5,8,9368,5,1,7,1,36,3.6,-0.11,55,Y,0.87,P,7,P,95,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,6,9398,7,1,7,4,42,3.6,0.27,68,Y,0.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +3,4,9420,3,1,7,3,36,3.6,-0.58,69,Y,-0.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,5,9429,8,2,7,5,44,3.6,0.8,65,Y,0.02,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +2,1,9457,2,1,6,1,34,3.6,-1.02,69,Y,-1.43,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +10,7,9499,10,1,7,4,46,3.6,1.34,69,Y,0.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +2,1,9505,3,2,7,3,24.5,3.6,-0.84,65,Y,-1.44,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,588.9473585,e 580-640,e 580-640,0.9993191,3.6 +5,7,9507,6,1,3,6,26,3.6,0.03,69,Y,0.34,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,612.631568,e 580-640,e 580-640,0.9993191,3.6 +6,7,9509,6,2,7,4,43,3.6,0.21,68,Y,0.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +9,9,9521,9,1,7,1,38,3.6,1.13,56,Y,1.03,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,6,9537,6,1,7,3,29,3.6,0.05,62,Y,0.07,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.999987,f 640-700,f 640-700,0.9993191,3.6 +5,5,9551,5,1,7,4,39,3.6,-0.1,67,Y,0.01,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,8,9560,9,1,7,4,44,3.6,1.13,70,Y,0.61,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +6,7,9613,6,1,7,1,37,3.6,0.17,69,Y,0.38,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,9617,10,2,7,4,40,3.6,2.04,64,Y,1.38,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +,,9641,9,1,7,3,41,3.6,1.16,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +4,4,9647,5,2,7,3,34,3.6,-0.25,69,Y,-0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,8,9663,5,2,7,5,43,3.6,0,61,Y,0.67,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,9673,10,1,7,3,41,3.6,1.43,50,Y,1.93,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +6,6,9702,6,2,7,3,42,3.6,0.08,68,Y,0.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,865.263136,g 700+,i 820+,0.9993191,3.6 +,,9705,,2,8,5,32,3.6,,52,Y,,F,7,P,96,1,3,-45,male,0,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,6,707.368406,g 700+,g 700-760,0.9993191,3.6 +7,8,9712,7,1,7,4,43,3.6,0.32,69,Y,0.84,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +4,5,9731,5,2,7,3,35,3.6,-0.21,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +8,9,9738,8,1,7,4,37,3.6,0.78,68,Y,1.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,10,9743,9,2,7,4,46,3.6,1.08,69,Y,1.58,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +3,3,9753,3,1,7,1,44,3.6,-0.6,50,Y,-0.83,P,7,P,94,1,4,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +7,8,9779,7,2,7,1,35,3.6,0.46,70,Y,0.67,P,7,P,95,2,2,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +6,6,9782,6,2,7,5,44,3.6,0.35,66,Y,0.1,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +8,7,9862,8,2,7,3,38,3.6,0.65,57,Y,0.54,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,8,9866,8,2,7,4,36.5,3.6,0.66,63,Y,0.82,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,778.4210345,g 700+,h 760-820,0.9993191,3.6 +9,7,9900,9,2,7,3,36,3.6,0.94,68,Y,0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +3,10,9908,3,2,7,1,37,3.6,-0.72,68,Y,1.61,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +5,4,9929,5,2,7,4,42,3.6,-0.02,69,Y,-0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +,,9937,,2,7,1,38,3.6,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,5,9939,5,2,7,1,38,3.6,-0.21,69,Y,-0.24,P,1,P,95,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,6,9965,8,2,7,4,40,3.6,0.67,69,Y,0.02,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +5,6,9967,5,1,7,1,39,3.6,-0.11,70,Y,0.29,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,10,9973,9,1,7,1,39,3.6,1.14,42,Y,1.41,P,7,P,94,1,2,-35,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,5,9991,7,1,7,1,44,3.6,0.56,59,Y,-0.03,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +2,1,9995,2,1,7,5,33,3.6,-1.17,69,Y,-1.37,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,723.157879,g 700+,g 700-760,0.9993191,3.6 +4,4,10010,5,2,7,3,38,3.6,-0.19,69,Y,-0.35,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,10,10012,9,2,7,5,41,3.6,1.22,67,Y,1.32,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +,,10032,,1,2,5,36,3.6,,67,Y,,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,8,10047,7,1,7,3,30,3.6,0.31,68,Y,0.81,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +9,9,10055,9,2,7,1,39,3.6,1.1,68,Y,1.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,6,10111,7,1,7,3,32,3.6,0.41,68,Y,0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +8,9,10113,8,2,7,1,40,3.6,0.86,68,Y,1.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +2,2,10120,2,2,4,3,28,3.6,-1.08,68,Y,-1.05,P,7,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.210514,f 640-700,f 640-700,0.9993191,3.6 +,,10129,,1,7,2,39,3.6,,70,Y,,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,817.894717,g 700+,h 760-820,0.9993191,3.6 +1,1,10157,1,2,3,4,27,3.6,-3.05,68,Y,-3.03,F,7,P,95,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,628.421041,e 580-640,e 580-640,0.9993191,3.6 +8,7,10173,8,1,7,1,38,3.6,0.81,69,Y,0.55,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,9,10189,9,2,7,4,42,3.6,1.16,67,Y,1.19,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +6,8,10198,6,1,7,1,37,3.6,0.23,69,Y,0.73,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +3,2,10205,3,1,7,5,45,3.6,-0.57,69,Y,-0.94,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +4,2,10206,4,2,7,5,42,3.6,-0.45,70,Y,-1.06,F,7,P,96,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +10,8,10222,10,1,7,3,39,3.6,1.44,63,Y,0.86,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,5,10224,3,1,7,1,40,3.6,-0.59,70,Y,-0.19,P,2,P,94,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +9,9,10277,9,1,7,3,38,3.6,1.22,61,Y,1.16,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +2,1,10298,2,1,7,4,41,3.6,-1.13,68,Y,-1.68,F,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +10,10,10317,10,1,7,6,39,3.6,2.38,61,Y,2.09,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,3,10342,5,2,7,4,47,3.6,-0.12,67,Y,-0.58,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +9,9,10343,9,1,7,1,40,3.6,1.13,67,Y,1.11,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +2,3,10344,2,2,7,4,47,3.6,-1.08,68,Y,-0.54,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +1,1,10345,2,2,2,3,31,3.6,-1.13,69,Y,-1.61,F,7,P,95,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +9,10,10352,9,1,7,1,39,3.6,1.22,66,Y,1.39,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,6,10374,6,1,7,4,43,3.6,0.21,69,Y,0.09,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +8,9,10389,8,2,7,4,42,3.6,0.75,67,Y,1.16,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +5,7,10393,6,1,7,5,48,3.6,0.08,68,Y,0.49,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +5,3,10417,5,2,7,3,31,3.6,-0.03,68,Y,-0.63,F,7,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +8,7,10423,8,2,7,4,44,3.6,0.75,64,Y,0.35,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +7,8,10425,7,1,7,1,45,3.6,0.55,56,Y,0.58,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +7,7,10427,8,1,7,4,46,3.6,0.54,69,Y,0.52,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +6,9,10441,6,1,7,3,35,3.6,0.12,65,Y,0.87,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +,,10444,,2,3,1,31.3,3.6,,67,Y,,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,696.3157749,f 640-700,f 640-700,0.9993191,3.6 +4,3,10454,5,1,7,3,37,3.6,-0.23,68,Y,-0.68,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,9,10491,9,2,7,1,43,3.6,1.07,68,Y,1.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +9,9,10504,9,1,7,1,35,3.6,1.25,69,Y,1.03,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,5,10528,4,2,7,4,39,3.6,-0.4,67,Y,0.01,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,9,10546,9,1,7,3,40,3.6,0.93,67,Y,0.87,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +5,5,10559,5,1,7,1,35,3.6,-0.09,68,Y,-0.2,P,2,P,96,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,10564,10,2,7,4,48,3.6,2.76,69,Y,3.12,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,959.999974,g 700+,i 820+,0.9993191,3.6 +6,6,10586,7,2,7,4,43,3.6,0.27,69,Y,0.12,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +5,4,10588,5,2,2,4,33,3.6,-0.07,66,Y,-0.24,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,723.157879,g 700+,g 700-760,0.9993191,3.6 +4,7,10601,5,1,7,3,28,3.6,-0.17,49,Y,0.37,P,7,P,94,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.210514,f 640-700,f 640-700,0.9993191,3.6 +7,8,10602,7,2,7,5,42,3.6,0.38,69,Y,0.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +8,9,10603,8,2,7,1,42,3.6,0.87,68,Y,1.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +4,4,10610,4,2,7,4,34,3.6,-0.28,69,Y,-0.47,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,8,10611,9,2,7,4,46,3.6,0.87,68,Y,0.83,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +3,3,10618,3,1,7,5,41,3.6,-0.67,69,Y,-0.55,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +8,8,10627,8,1,7,1,38,3.6,0.77,68,Y,0.88,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,4,10631,3,2,7,1,36,3.6,-0.61,67,Y,-0.44,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +4,3,10656,4,2,7,1,42,3.6,-0.41,68,Y,-0.68,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +3,4,10692,4,2,7,1,31,3.6,-0.45,67,Y,-0.42,P,2,P,95,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +,,10726,,1,7,4,35,3.6,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +8,7,10741,8,1,7,1,30.5,3.6,0.87,65,Y,0.49,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +10,7,10761,10,1,7,4,37,3.6,1.45,62,Y,0.28,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,2,10792,3,1,7,1,31,3.6,-0.8,59,Y,-1.15,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +9,9,10815,9,1,7,2,28,3.6,1.07,69,Y,1.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,644.210514,f 640-700,f 640-700,0.9993191,3.6 +,,10820,3,2,7,5,42,3.6,-0.52,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +2,1,10823,2,1,7,2,31,3.6,-0.9,50,Y,-1.3,P,7,P,95,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,691.578933,f 640-700,f 640-700,0.9993191,3.6 +2,2,10826,2,2,6,3,31,3.6,-0.94,68,Y,-1.1,F,7,P,95,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,9,10849,10,2,7,3,37,3.6,1.54,69,Y,1.2,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,6,10857,6,2,7,4,48,3.6,0.23,66,Y,0.13,P,6,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,959.999974,g 700+,i 820+,0.9993191,3.6 +8,6,10906,8,2,7,3,35,3.6,0.66,69,Y,0.01,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,10909,10,2,7,4,37,3.6,1.66,46,Y,1.49,P,7,P,95,2,2,-39,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,8,10910,6,1,7,3,42,3.6,0.16,66,Y,0.7,P,2,P,95,2,4,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,865.263136,g 700+,i 820+,0.9993191,3.6 +10,9,10918,10,1,7,2,26,3.6,1.64,55,Y,1,P,7,P,94,1,2,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,612.631568,e 580-640,e 580-640,0.9993191,3.6 +4,5,10922,4,1,7,5,42,3.6,-0.22,69,Y,-0.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +2,5,10923,3,1,7,4,40,3.6,-0.79,69,Y,-0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +1,1,10931,1,2,7,5,46,3.6,-1.6,65,Y,-1.68,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +2,3,10937,3,2,7,3,30.5,3.6,-0.82,69,Y,-0.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +2,3,10970,2,1,7,4,30.5,3.6,-0.94,62,Y,-0.72,F,7,F,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +2,2,11029,3,2,7,4,42,3.6,-0.8,70,Y,-1.13,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +2,2,11066,3,2,7,1,33,3.6,-0.81,52,Y,-1.06,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +1,1,11074,2,2,7,1,29.7,3.6,-1.27,67,Y,-1.89,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.0526181,f 640-700,f 640-700,0.9993191,3.6 +1,3,11091,2,1,7,3,30,3.6,-1.21,69,Y,-0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +5,4,11092,6,2,7,4,36,3.6,0.05,69,Y,-0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,6,11103,7,1,7,3,40,3.6,0.28,69,Y,0.11,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +7,5,11124,7,2,7,3,31,3.6,0.34,69,Y,-0.05,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +7,5,11172,7,2,7,1,41,3.6,0.54,69,Y,-0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +9,10,11201,9,1,7,4,41,3.6,1.22,68,Y,1.32,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +4,5,11219,4,2,7,5,40,3.6,-0.25,68,Y,-0.19,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,11235,10,1,7,3,44,3.6,2.32,65,Y,1.94,P,2,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,896.842082,g 700+,i 820+,0.9993191,3.6 +9,8,11245,9,2,6,1,34,3.6,1.05,64,Y,0.75,P,7,P,94,1,4,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +1,1,11255,1,1,2,4,31.5,3.6,-2.14,69,Y,-1.4,F,2,F,95,1,2,-67,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +6,7,11263,6,1,7,4,45,3.6,0.23,69,Y,0.5,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +1,3,11279,1,1,7,1,33,3.6,-1.33,52,Y,-0.88,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +6,5,11320,6,1,7,4,44,3.6,0.17,66,Y,0.02,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +10,10,11331,10,2,7,1,44,3.6,1.54,68,Y,1.66,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +1,3,11335,1,1,7,3,43,3.6,-1.43,55,Y,-0.85,P,2,P,95,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +3,4,11404,3,2,7,4,35,3.6,-0.71,68,Y,-0.46,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,4,11405,4,2,7,5,48,3.6,-0.26,66,Y,-0.22,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +9,9,11451,9,1,7,1,35.5,3.6,1.21,69,Y,1.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.6315615,g 700+,h 760-820,0.9993191,3.6 +8,10,11471,8,2,7,4,32,3.6,0.69,69,Y,1.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,707.368406,g 700+,g 700-760,0.9993191,3.6 +10,9,11486,10,1,7,4,36,3.6,1.8,69,Y,1.19,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,7,11526,7,1,2,1,45,3.6,0.39,68,Y,0.38,P,7,P,95,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +6,6,11571,7,1,7,3,33.5,3.6,0.3,47,Y,0.06,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,731.0526155,g 700+,g 700-760,0.9993191,3.6 +7,8,11592,7,2,7,5,45,3.6,0.45,66,Y,0.77,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +10,10,11595,10,2,7,3,41,3.6,1.56,68,Y,1.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +5,7,11621,6,2,7,3,36.5,3.6,0.01,69,Y,0.32,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,778.4210345,g 700+,h 760-820,0.9993191,3.6 +4,5,11681,4,2,7,1,38,3.6,-0.36,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,4,11690,3,2,2,4,39,3.6,-0.57,63,Y,-0.34,P,2,P,94,1,1,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,4,11705,3,1,7,1,37.5,3.6,-0.72,69,Y,-0.53,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,794.2105075,g 700+,h 760-820,0.9993191,3.6 +7,9,11727,7,1,7,1,47,3.6,0.39,69,Y,0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,944.210501,g 700+,i 820+,0.9993191,3.6 +2,4,11732,2,2,7,1,35,3.6,-0.99,68,Y,-0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,5,11755,4,1,7,3,33,3.6,-0.34,68,Y,-0.12,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +2,2,11772,3,2,7,3,30,3.6,-0.79,65,Y,-0.96,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +8,8,11790,8,1,7,3,38,3.6,0.71,69,Y,0.87,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,11798,10,1,7,4,44,3.6,2,67,Y,1.47,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +3,2,11824,3,2,7,1,37,3.6,-0.51,59,Y,-0.99,F,7,F,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,10,11857,9,2,7,4,42,3.6,1.23,65,Y,1.41,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +7,8,11881,7,2,7,3,41,3.6,0.45,69,Y,0.74,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +10,10,11904,10,2,7,3,40,3.6,1.57,68,Y,1.84,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +1,2,11940,2,2,5,3,26,3.6,-1.15,63,Y,-1,F,7,P,95,1,3,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,612.631568,e 580-640,e 580-640,0.9993191,3.6 +8,8,11967,8,2,7,5,47,3.6,0.75,66,Y,0.65,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +5,9,11976,6,2,7,1,38,3.6,0.08,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +6,6,11978,7,2,7,3,38,3.6,0.29,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,10,11984,5,1,7,1,35,3.6,0.01,64,Y,1.42,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,10,12004,9,2,7,4,36.5,3.6,1.13,62,Y,1.67,P,2,P,96,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,778.4210345,g 700+,h 760-820,0.9993191,3.6 +5,4,12005,5,1,2,1,40,3.6,-0.09,68,Y,-0.39,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +9,10,12044,9,1,2,4,34,3.6,1.08,69,Y,1.38,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,7,12050,9,1,7,4,39,3.6,0.89,68,Y,0.35,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +,,12085,,1,6,6,20.7,3.6,,67,Y,,F,7,P,95,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,528.9473611,d 520-580,d 520-580,0.9993191,3.6 +6,5,12096,6,1,7,5,44,3.6,0.32,69,Y,-0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +6,6,12116,6,2,7,1,38,3.6,0.26,69,Y,0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,3,12119,4,2,7,4,41,3.6,-0.47,68,Y,-0.53,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +10,5,12144,10,2,7,1,32,3.6,2.15,69,Y,0,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +7,8,12169,7,2,7,1,39,3.6,0.57,69,Y,0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,4,12170,4,1,7,4,47,3.6,-0.33,69,Y,-0.49,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +10,10,12175,10,1,7,4,37,3.6,1.41,66,Y,1.65,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,7,12179,9,2,7,1,37,3.6,1.16,69,Y,0.47,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,8,12210,7,1,7,1,38,3.6,0.57,50,Y,0.58,P,7,P,94,1,4,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,6,12216,5,1,7,1,40,3.6,-0.16,69,Y,0.17,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,12231,10,1,7,1,48,3.6,2.42,58,Y,2.57,P,7,P,94,1,,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,959.999974,g 700+,i 820+,0.9993191,3.6 +5,7,12244,5,1,7,3,36,3.6,-0.17,68,Y,0.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,7,12259,6,2,2,1,40,3.6,0.29,69,Y,0.47,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +8,7,12263,8,1,7,3,30.5,3.6,0.65,66,Y,0.44,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +9,8,12282,9,1,7,4,43,3.6,1.11,66,Y,0.63,P,2,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +10,9,12298,10,1,7,5,44,3.6,1.47,67,Y,1.22,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +2,2,12307,2,2,7,3,39,3.6,-1.06,69,Y,-1.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,10,12339,10,2,7,1,39,3.6,1.66,68,Y,1.76,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,8,12345,8,2,7,3,40,3.6,0.7,69,Y,0.85,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +6,6,12356,6,2,7,3,40,3.6,0.19,68,Y,0.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +,,12366,3,2,4,5,41,3.6,-0.65,67,Y,,F,7,P,95,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +,,12418,,2,7,5,37,3.6,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,12420,10,1,7,1,39,3.6,1.35,68,Y,1.54,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,6,12421,6,2,7,4,37,3.6,0.18,69,Y,0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,9,12427,9,2,7,1,41,3.6,1.11,59,Y,1.13,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +5,5,12448,5,1,7,3,36,3.6,-0.02,68,Y,-0.1,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +9,8,12456,9,1,7,1,41,3.6,1.09,69,Y,0.79,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +3,4,12484,3,1,7,1,24.3,3.6,-0.69,68,Y,-0.35,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,585.7894639,e 580-640,e 580-640,0.9993191,3.6 +10,9,12496,10,1,7,4,42,3.6,1.37,64,Y,1.2,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +,,12505,,1,7,4,38,3.6,,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,12522,10,1,7,3,37,3.6,1.62,62,Y,1.93,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,12570,,1,7,5,32,3.6,,41,Y,,P,7,P,94,1,2,-34,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,707.368406,g 700+,g 700-760,0.9993191,3.6 +10,10,12581,10,1,7,1,43,3.6,2.03,67,Y,1.98,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +9,9,12582,9,2,7,1,43,3.6,1.05,57,Y,1.11,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +,,12584,,2,7,5,37.5,3.6,,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,794.2105075,g 700+,h 760-820,0.9993191,3.6 +1,2,12606,1,1,7,5,39,3.6,-1.33,69,Y,-1.23,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,9,12613,9,1,7,5,44,3.6,1.07,69,Y,0.98,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +5,5,12637,5,1,7,5,35,3.6,-0.13,68,Y,-0.22,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,2,12647,2,1,7,4,39,3.6,-1.16,62,Y,-0.96,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,10,12648,10,1,7,4,44,3.6,1.53,68,Y,1.64,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +7,9,12652,7,1,7,3,36,3.6,0.51,70,Y,1.03,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,7,12653,6,2,7,4,35,3.6,0.12,69,Y,0.45,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,10,12663,9,1,7,1,38,3.6,1.28,70,Y,1.47,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,2,12698,4,2,7,1,41,3.6,-0.49,69,Y,-0.94,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +5,4,12722,5,2,7,4,44,3.6,-0.06,66,Y,-0.32,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +3,4,12729,4,1,6,6,29,3.6,-0.58,69,Y,-0.45,F,7,F,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,659.999987,f 640-700,f 640-700,0.9993191,3.6 +6,4,12736,6,2,7,3,40,3.6,0.07,66,Y,-0.36,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +7,7,12759,7,2,7,2,30,3.6,0.51,69,Y,0.21,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,675.78946,f 640-700,f 640-700,0.9993191,3.6 +9,9,12791,9,2,7,1,45,3.6,1.16,68,Y,1.23,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +10,10,12792,10,2,7,2,38,3.6,2.26,68,Y,2.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,802.105244,g 700+,h 760-820,0.9993191,3.6 +2,3,12811,3,1,7,5,41,3.6,-0.84,69,Y,-0.62,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +5,5,12814,5,1,7,3,34,3.6,-0.16,49,Y,-0.16,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,10,12821,9,1,7,3,35,3.6,1.18,68,Y,1.58,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,9,12854,9,2,7,5,48,3.6,1.44,67,Y,0.83,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +,,12901,,2,7,3,33,3.6,,56,Y,,P,7,P,95,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +4,4,12921,4,2,7,4,40,3.6,-0.35,64,Y,-0.34,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +5,4,12940,5,1,7,4,45,3.6,-0.12,69,Y,-0.25,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +9,9,12958,9,1,7,1,39,3.6,0.96,69,Y,1.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,10,12959,10,2,7,4,42,3.6,1.48,63,Y,1.69,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,12984,10,2,7,1,41,3.6,2.19,67,Y,1.32,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +10,9,13001,10,1,7,1,40,3.6,1.71,69,Y,1.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +3,3,13004,3,2,2,4,43,3.6,-0.54,69,Y,-0.54,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +4,5,13017,5,1,2,1,33,3.6,-0.21,67,Y,-0.02,P,7,P,94,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +4,9,13036,5,2,8,5,44,3.6,-0.21,69,Y,0.91,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +7,7,13080,7,1,7,3,38,3.6,0.36,68,Y,0.41,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,6,13120,3,1,7,4,37,3.6,-0.56,60,Y,0.23,P,2,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +1,2,13139,2,1,7,2,35,3.6,-1.09,68,Y,-1.15,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,754.736825,g 700+,g 700-760,0.9993191,3.6 +8,10,13154,8,1,7,3,38,3.6,0.74,66,Y,1.66,P,2,P,96,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,8,13159,8,1,7,1,35,3.6,0.68,68,Y,0.74,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,9,13165,9,1,7,4,45,3.6,1.07,66,Y,1.02,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +6,6,13181,7,1,7,1,42,3.6,0.32,69,Y,0.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +2,7,13184,2,1,7,3,35,3.6,-0.95,68,Y,0.38,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,8,13192,7,1,2,4,42,3.6,0.4,67,Y,0.58,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,13198,10,1,7,3,35,3.6,1.59,66,Y,1.45,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,9,13203,10,2,7,1,39,3.6,1.65,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +2,4,13217,2,1,2,4,40,3.6,-0.93,69,Y,-0.41,P,2,P,96,1,4,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +,,13221,,2,3,5,30,3.6,,68,Y,,P,2,P,95,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,675.78946,f 640-700,f 640-700,0.9993191,3.6 +10,10,13224,10,2,7,5,43,3.6,1.91,69,Y,1.88,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +4,5,13238,4,2,7,1,36,3.6,-0.31,67,Y,-0.12,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +2,2,13247,2,1,7,1,41,3.6,-1.02,64,Y,-1.05,P,2,P,96,2,3,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +6,8,13285,7,1,7,3,30.5,3.6,0.3,69,Y,0.83,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +7,9,13286,7,1,7,4,34,3.6,0.52,69,Y,0.93,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +3,4,13287,3,2,7,1,35,3.6,-0.73,69,Y,-0.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,4,13341,4,1,7,4,39,3.6,-0.41,68,Y,-0.35,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,3,13351,6,2,7,3,29,3.6,0.03,60,Y,-0.89,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.999987,f 640-700,f 640-700,0.9993191,3.6 +4,1,13357,4,1,7,3,39,3.6,-0.34,68,Y,-1.43,F,7,F,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,5,13358,4,2,7,1,43,3.6,-0.38,68,Y,-0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +1,2,13371,1,2,7,1,41,3.6,-1.45,69,Y,-1.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +8,7,13373,8,2,7,3,40,3.6,0.57,68,Y,0.48,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +6,4,13389,6,2,2,4,32,3.6,0.07,69,Y,-0.31,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,707.368406,g 700+,g 700-760,0.9993191,3.6 +3,5,13395,4,2,7,3,39,3.6,-0.49,69,Y,-0.17,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,5,13410,4,2,2,1,32.5,3.6,-0.26,69,Y,0.01,P,2,P,94,1,4,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,715.2631425,g 700+,g 700-760,0.9993191,3.6 +6,7,13414,6,1,7,1,35.5,3.6,0.21,68,Y,0.48,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.6315615,g 700+,h 760-820,0.9993191,3.6 +10,10,13416,10,2,7,1,40,3.6,1.56,68,Y,1.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +6,4,13425,6,2,2,1,41,3.6,0.17,53,Y,-0.33,P,7,P,94,1,2,-46,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +4,5,13444,4,1,7,5,41,3.6,-0.35,66,Y,-0.21,P,7,P,94,1,,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +2,4,13453,2,1,7,4,45,3.6,-0.95,67,Y,-0.25,P,2,P,94,1,2,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +3,3,13460,3,1,3,5,31,3.6,-0.83,68,Y,-0.63,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,10,13488,10,2,7,1,44,3.6,2.5,61,Y,2.94,P,2,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +10,8,13499,10,2,7,1,35,3.6,1.4,69,Y,0.77,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,10,13550,9,2,7,3,41,3.6,1,69,Y,1.64,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +6,9,13565,6,2,7,5,44,3.6,0.25,69,Y,1.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +4,4,13577,4,2,7,5,46,3.6,-0.27,69,Y,-0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +9,9,13585,9,2,7,1,34,3.6,1.24,68,Y,1.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +3,1,13600,3,1,2,5,37.5,3.6,-0.82,69,Y,-1.49,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,794.2105075,g 700+,h 760-820,0.9993191,3.6 +6,6,13611,6,1,6,3,40,3.6,0.15,69,Y,0.22,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +9,9,13618,9,2,7,3,39,3.6,1.1,63,Y,1.16,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,9,13655,9,2,7,4,34,3.6,1.23,51,Y,0.98,P,7,P,94,1,4,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +10,10,13675,10,2,7,3,37,3.6,2.01,70,Y,1.95,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,13706,10,1,7,3,27.5,3.6,2.21,68,Y,1.97,P,7,P,94,1,1,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,636.3157775,e 580-640,e 580-640,0.9993191,3.6 +2,2,13742,3,2,2,3,37,3.6,-0.77,69,Y,-1.22,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,3,13743,2,1,2,4,39.5,3.6,-0.89,68,Y,-0.84,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,825.7894535,g 700+,i 820+,0.9993191,3.6 +7,8,13746,7,2,7,1,44,3.6,0.5,69,Y,0.77,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +,,13758,2,2,7,5,41,3.6,-0.99,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +4,4,13764,5,1,8,4,38,3.6,-0.22,69,Y,-0.24,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,7,13777,8,2,7,5,45,3.6,0.77,70,Y,0.43,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +10,10,13794,10,2,7,5,45,3.6,2.05,68,Y,1.59,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +3,3,13803,3,1,7,1,37,3.6,-0.68,69,Y,-0.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,13806,6,2,7,5,42.5,3.6,0.2,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,873.1578725,g 700+,i 820+,0.9993191,3.6 +,,13809,,1,7,1,33,3.6,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +8,7,13856,8,1,7,1,41,3.6,0.84,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +3,2,13865,3,1,7,5,46,3.6,-0.63,68,Y,-0.92,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +2,1,13868,2,2,4,4,38,3.6,-1.08,67,Y,-1.43,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,13897,5,1,7,5,43,3.6,0.01,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +3,2,13945,3,1,7,1,36,3.6,-0.61,68,Y,-1.32,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +3,3,13947,3,2,7,4,43,3.6,-0.66,69,Y,-0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +7,7,13988,7,2,7,5,47,3.6,0.62,68,Y,0.27,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +2,3,13997,2,2,7,1,43,3.6,-0.94,57,Y,-0.78,F,7,P,95,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +9,7,14006,9,1,7,3,35,3.6,0.92,68,Y,0.4,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +6,7,14011,7,1,7,3,30,3.6,0.3,68,Y,0.29,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +,,14018,10,2,7,3,39,3.6,1.63,65,X,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,6,14031,6,1,7,1,37,3.6,0.18,69,Y,0.27,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,14034,3,1,7,5,39,3.6,-0.69,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,3,14061,4,1,7,1,35,3.6,-0.43,69,Y,-0.67,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,14069,10,1,7,1,38,3.6,1.73,62,Y,1.83,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,14085,10,1,7,4,46,3.6,1.5,67,Y,1.42,P,7,P,94,,3,-60,female,,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +2,3,14090,2,1,2,5,39,3.6,-0.86,67,Y,-0.8,F,7,P,95,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,4,14115,5,2,7,1,34,3.6,-0.14,69,Y,-0.39,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +6,8,14116,6,2,7,2,31,3.6,0.18,69,Y,0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,691.578933,f 640-700,f 640-700,0.9993191,3.6 +6,9,14130,6,1,7,5,40,3.6,0.27,69,Y,1.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,14133,10,2,7,1,35,3.6,1.6,68,Y,1.56,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,3,14141,4,1,7,3,37,3.6,-0.31,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,7,14142,7,1,7,3,36,3.6,0.3,67,Y,0.53,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,9,14150,8,1,7,4,38,3.6,0.57,68,Y,0.99,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,7,14219,8,2,7,4,46,3.6,0.61,68,Y,0.49,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +8,8,14224,8,2,7,1,32,3.6,0.78,66,Y,0.68,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +8,7,14226,8,2,7,1,45,3.6,0.77,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +10,7,14243,10,2,7,4,44,3.6,1.38,68,Y,0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +3,5,14244,3,2,7,3,37,3.6,-0.55,70,Y,-0.25,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +1,1,14275,1,1,3,1,29,3.6,-2.25,52,Y,-2.31,P,7,P,94,1,2,-45,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,659.999987,f 640-700,f 640-700,0.9993191,3.6 +9,7,14295,9,2,7,1,41,3.6,1.06,69,Y,0.55,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +1,1,14318,1,2,3,1,25,3.6,-2.16,65,Y,-1.66,F,7,P,95,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,596.842095,e 580-640,e 580-640,0.9993191,3.6 +10,9,14320,10,1,7,3,36,3.6,1.54,69,Y,1.3,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +9,9,14324,9,1,7,4,46,3.6,1.07,61,Y,1.25,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +5,6,14357,5,1,8,5,37,3.6,-0.07,70,Y,0.07,P,7,P,94,1,4,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,14394,,1,7,3,43,3.6,,71,Y,,P,7,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +8,6,14400,8,2,7,4,46,3.6,0.72,69,Y,0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +8,8,14405,8,1,2,4,41,3.6,0.85,68,Y,0.75,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +4,3,14432,5,1,7,5,34,3.6,-0.18,68,Y,-0.73,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,738.947352,g 700+,g 700-760,0.9993191,3.6 +6,7,14434,6,2,7,4,45,3.6,0.19,68,Y,0.49,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +7,7,14453,8,2,7,3,38,3.6,0.55,65,Y,0.42,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,3,14470,6,2,7,1,42,3.6,0.07,68,Y,-0.55,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,14491,10,1,7,1,42,3.6,1.36,69,Y,1.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +9,9,14505,10,2,8,1,39,3.6,1.3,69,Y,1.27,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,7,14526,8,1,7,2,34,3.6,0.61,63,Y,0.39,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,2,14589,4,1,7,1,38,3.6,-0.41,69,Y,-1.13,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +7,7,14591,7,1,7,3,32,3.6,0.4,69,Y,0.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +,,14610,,1,7,5,42,3.6,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,14614,10,2,7,1,40,3.6,1.57,67,Y,1.6,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,14621,,2,7,5,37.5,3.6,,,Y,,P,7,P,94,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,794.2105075,g 700+,h 760-820,0.9993191,3.6 +,,14633,,2,7,5,38,3.6,,64,Y,,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,14674,7,1,7,5,41,3.6,0.36,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +3,3,14685,3,1,7,1,32,3.6,-0.68,69,Y,-0.71,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +1,3,14687,1,1,7,4,39,3.6,-1.27,68,Y,-0.71,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,8,14692,7,1,3,4,27.5,3.6,0.35,63,Y,0.73,P,7,P,94,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,636.3157775,e 580-640,e 580-640,0.9993191,3.6 +8,8,14701,8,1,7,1,37,3.6,0.69,65,Y,0.65,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,7,14721,9,2,7,5,45,3.6,1.16,69,Y,0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +6,6,14754,6,1,7,1,45,3.6,0.21,69,Y,0.21,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +9,8,14765,9,2,7,1,40,3.6,1.1,70,Y,0.85,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +8,8,14797,8,2,7,4,44,3.6,0.84,68,Y,0.77,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +,,14809,,2,7,4,34.7,3.6,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,749.9999831,g 700+,g 700-760,0.9993191,3.6 +7,7,14847,7,2,7,3,31,3.6,0.46,68,Y,0.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +2,2,14848,2,2,2,5,45,3.6,-0.96,69,Y,-0.99,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +9,9,14900,9,1,7,3,35,3.6,0.96,,Y,1.05,P,7,P,94,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +5,7,14912,5,1,8,5,47,3.6,-0.14,66,Y,0.54,P,7,P,94,1,4,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +7,5,14922,8,1,7,1,36,3.6,0.59,50,Y,-0.12,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,6,14931,6,1,7,1,34.5,3.6,0.25,68,Y,0.18,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.8420885,g 700+,g 700-760,0.9993191,3.6 +10,10,14935,10,2,7,3,46,3.6,1.84,64,Y,2.29,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,928.421028,g 700+,i 820+,0.9993191,3.6 +8,7,14983,8,1,7,5,43,3.6,0.81,67,Y,0.3,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +8,9,15054,8,1,7,3,40,3.6,0.65,63,Y,1.07,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +8,6,15067,8,1,7,1,41,3.6,0.77,63,Y,0.07,P,7,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +9,7,15081,9,2,7,1,36,3.6,1.05,69,Y,0.42,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,7,15090,8,2,7,4,37,3.6,0.59,62,Y,0.47,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,6,15096,6,1,7,4,40,3.6,0.23,69,Y,0.16,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +,,15102,,1,7,1,42,3.6,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,15126,10,1,7,3,45,3.6,2.33,63,Y,1.85,P,7,P,94,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,912.631555,g 700+,i 820+,0.9993191,3.6 +9,10,15142,9,1,7,2,27.5,3.6,0.98,55,Y,1.57,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,636.3157775,e 580-640,e 580-640,0.9993191,3.6 +,,15164,8,2,7,5,41,3.6,0.66,66,Y,,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +5,6,15173,6,1,7,1,34,3.6,0.07,67,Y,0.12,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,2,15174,7,2,7,1,35,3.6,0.41,68,Y,-1.18,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,8,15190,10,2,7,3,30,3.6,1.38,69,Y,0.77,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +,,15196,10,1,7,5,44,3.6,1.54,69,Y,,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +9,9,15203,9,2,7,1,42,3.6,1.06,65,Y,0.99,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +2,1,15206,2,2,7,4,29,3.6,-1.03,55,Y,-1.67,F,2,P,96,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,659.999987,f 640-700,f 640-700,0.9993191,3.6 +4,2,15216,4,1,7,4,39,3.6,-0.32,47,Y,-0.98,F,7,F,95,2,2,-40,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,10,15219,9,1,7,4,48,3.6,1.14,67,Y,1.63,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,959.999974,g 700+,i 820+,0.9993191,3.6 +9,9,15232,9,2,7,3,43,3.6,1.18,69,Y,1.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +5,5,15264,5,1,7,1,40,3.6,-0.1,69,Y,-0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,15279,9,2,7,5,45,3.6,1.37,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +7,7,15312,7,1,7,4,41,3.6,0.36,58,Y,0.47,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +10,10,15341,10,2,7,4,45,3.6,1.54,68,Y,1.5,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +4,5,15349,4,2,7,4,38,3.6,-0.32,69,Y,-0.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,8,15395,5,2,7,1,42,3.6,-0.01,67,Y,0.59,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +6,5,15405,6,1,7,3,39,3.6,0.06,67,Y,-0.1,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,10,15476,10,1,7,1,40,3.6,1.73,67,Y,2.07,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,15523,,1,7,5,42,3.6,,67,Y,0,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,15527,10,2,2,5,42,3.6,1.69,67,Y,2.31,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +8,9,15540,9,1,7,3,36,3.6,0.84,68,Y,0.88,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +4,3,15550,4,2,7,1,40,3.6,-0.3,67,Y,-0.77,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +8,7,15557,8,1,7,1,36,3.6,0.69,69,Y,0.51,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +,,15586,,1,,5,48,3.6,1.78,70,Y,1.27,P,7,P,94,,,-63,female,,0,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +,,15587,,2,7,1,42,3.6,,53,Y,2.71,P,2,P,95,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +1,1,15615,1,1,7,1,38,3.6,-1.45,68,Y,-1.82,F,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,9,15653,10,1,7,4,39,3.6,1.66,63,Y,0.96,P,7,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,5,15668,7,1,7,1,30,3.6,0.45,66,Y,-0.01,P,2,P,95,2,2,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,675.78946,f 640-700,f 640-700,0.9993191,3.6 +5,7,15670,6,1,7,3,37,3.6,-0.02,67,Y,0.4,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +8,7,15673,8,2,7,2,32.5,3.6,0.72,64,Y,0.29,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,715.2631425,g 700+,g 700-760,0.9993191,3.6 +10,9,15680,10,1,7,4,34,3.6,1.4,70,Y,1.25,P,7,P,94,2,5,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,9,15693,9,2,6,1,42,3.6,1.11,70,Y,0.99,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +7,9,15695,7,2,7,5,41,3.6,0.42,67,Y,0.89,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +6,5,15732,6,2,6,1,40,3.6,0.17,65,Y,-0.15,P,7,P,94,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,15738,10,1,7,4,42,3.6,1.45,65,Y,1.56,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,15753,10,2,7,3,33,3.6,2.23,66,Y,2.31,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +7,6,15756,7,1,7,3,39,3.6,0.32,68,Y,0.25,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,8,15797,8,2,7,4,38,3.6,0.77,63,Y,0.82,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,8,15801,9,1,7,4,41,3.6,0.9,67,Y,0.68,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +7,6,15803,8,2,7,3,38.5,3.6,0.56,68,Y,0.19,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,809.9999805,g 700+,h 760-820,0.9993191,3.6 +8,7,15806,8,1,7,5,44,3.6,0.71,68,Y,0.39,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +7,6,15816,7,2,8,1,31,3.6,0.39,67,Y,0.07,P,7,P,94,1,3,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,9,15845,10,1,8,6,25,3.6,1.73,64,Y,0.96,P,7,P,94,1,4,-57,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,1,596.842095,e 580-640,e 580-640,0.9993191,3.6 +10,10,15909,10,2,7,1,43,3.6,1.57,62,Y,1.48,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +4,7,15934,4,1,7,4,39.5,3.6,-0.44,68,Y,0.31,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.7894535,g 700+,i 820+,0.9993191,3.6 +6,8,15935,6,2,7,5,37,3.6,0.32,67,Y,0.81,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,4,15941,6,1,7,4,44,3.6,0.1,67,Y,-0.46,P,7,P,94,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +6,7,15989,6,2,7,1,38,3.6,0.15,68,Y,0.37,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,15996,10,1,7,3,35,3.6,1.78,61,Y,1.8,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,3,16006,4,1,7,3,38,3.6,-0.28,69,Y,-0.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,7,16048,6,1,7,1,34.5,3.6,0.08,67,Y,0.37,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,746.8420885,g 700+,g 700-760,0.9993191,3.6 +10,9,16074,10,2,7,3,37.5,3.6,1.5,63,Y,1,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,794.2105075,g 700+,h 760-820,0.9993191,3.6 +,,16113,7,1,7,5,44,3.6,0.48,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +5,7,16134,5,1,7,4,32,3.6,-0.03,68,Y,0.38,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,707.368406,g 700+,g 700-760,0.9993191,3.6 +7,7,16149,7,1,6,3,29,3.6,0.44,69,Y,0.44,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.999987,f 640-700,f 640-700,0.9993191,3.6 +9,10,16150,10,2,7,4,34,3.6,1.28,69,Y,1.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,5,16160,6,1,7,1,41,3.6,0.05,69,Y,-0.11,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +3,9,16182,3,1,7,5,44,3.6,-0.58,67,Y,0.84,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +6,9,16188,6,1,7,5,37,3.6,0.3,65,Y,1.06,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,16195,,1,7,1,34,3.6,,60,Y,1.36,P,2,P,96,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,7,16225,9,1,7,4,40,3.6,1.08,68,Y,0.41,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,16237,10,1,7,3,39,3.6,1.9,68,Y,2.41,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,10,16238,9,2,7,5,40,3.6,1.43,68,Y,1.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,16244,10,1,7,1,43,3.6,2.11,62,Y,2.09,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +1,4,16266,1,1,3,1,29,3.6,-1.73,70,Y,-0.41,F,7,F,94,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,659.999987,f 640-700,f 640-700,0.9993191,3.6 +5,6,16280,6,1,7,4,41,3.6,0.01,56,Y,0.14,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +4,4,16286,4,2,7,1,41,3.6,-0.36,68,Y,-0.44,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +9,10,16290,9,2,7,1,31,3.6,1.19,69,Y,1.35,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +5,7,16292,5,2,7,1,41,3.6,-0.03,66,Y,0.49,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +1,2,16304,1,1,3,5,30,3.6,-2.16,69,Y,-1.25,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,675.78946,f 640-700,f 640-700,0.9993191,3.6 +,,16311,,2,8,5,48,3.6,,67,Y,0,P,7,P,94,1,5,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +4,4,16346,5,2,7,1,39,3.6,-0.2,69,Y,-0.36,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,8,16349,9,2,7,5,45,3.6,1.2,66,Y,0.81,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +3,5,16356,3,2,7,1,41,3.6,-0.72,66,Y,-0.19,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +2,1,16365,2,1,3,3,26,3.6,-0.89,58,Y,-2.21,F,7,P,96,1,1,-51,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,612.631568,e 580-640,e 580-640,0.9993191,3.6 +8,7,16377,8,2,7,4,36,3.6,0.66,59,Y,0.29,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,9,16392,8,2,7,1,38,3.6,0.85,69,Y,1.11,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +6,8,16397,6,1,7,3,34,3.6,0.11,68,Y,0.75,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +2,2,16398,3,2,7,1,40,3.6,-0.78,69,Y,-1.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,16415,6,2,7,5,43,3.6,0.06,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +9,9,16417,9,1,7,3,41,3.6,1.05,61,Y,0.94,P,2,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +,,16418,,1,4,5,43,3.6,,70,Y,0,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,16432,10,2,7,4,31.5,3.6,1.46,69,Y,1.39,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +5,7,16439,6,1,7,1,45,3.6,0.06,67,Y,0.35,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +6,6,16474,6,1,7,4,44,3.6,0.07,67,Y,0.13,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +3,4,16499,3,1,7,1,32.5,3.6,-0.51,69,Y,-0.34,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,715.2631425,g 700+,g 700-760,0.9993191,3.6 +7,7,16520,7,2,7,4,41,3.6,0.51,68,Y,0.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +6,9,16529,6,1,6,6,40,3.6,0.17,68,Y,1.24,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,833.68419,g 700+,i 820+,0.9993191,3.6 +7,9,16542,7,1,7,5,44,3.6,0.42,69,Y,0.97,P,2,P,96,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +1,1,16554,1,2,7,5,43,3.6,-1.31,67,Y,-1.38,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,16557,10,2,7,3,36.5,3.6,1.36,68,Y,1.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,778.4210345,g 700+,h 760-820,0.9993191,3.6 +10,10,16566,10,1,7,1,42,3.6,1.44,65,Y,1.74,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +8,7,16567,8,1,7,4,42,3.6,0.56,59,Y,0.41,P,7,P,94,1,1,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +8,8,16579,8,2,7,1,42,3.6,0.7,66,Y,0.81,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +4,4,16591,4,1,7,5,42.5,3.6,-0.37,70,Y,-0.45,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,873.1578725,g 700+,i 820+,0.9993191,3.6 +7,7,16595,8,2,7,1,40,3.6,0.61,67,Y,0.46,P,6,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +5,5,16601,6,2,7,3,28.5,3.6,0,69,Y,-0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,652.1052505,f 640-700,f 640-700,0.9993191,3.6 +2,2,16614,3,2,7,1,40,3.6,-0.76,69,Y,-0.88,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,16618,10,1,7,3,37,3.6,2.05,68,Y,2.17,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,6,16623,10,2,2,5,44,3.6,2.01,68,Y,0.13,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +,,16628,,1,7,5,40,3.6,,64,Y,,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +5,7,16633,6,2,7,1,42,3.6,0.07,66,Y,0.37,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +7,6,16698,7,2,3,1,30,3.6,0.36,58,Y,0.29,P,7,P,94,1,2,-51,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,675.78946,f 640-700,f 640-700,0.9993191,3.6 +6,6,16702,7,2,7,3,32,3.6,0.26,57,Y,0.23,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +6,6,16712,6,1,2,4,40,3.6,0.08,69,Y,0.05,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +7,5,16728,7,2,3,3,32,3.6,0.48,69,Y,-0.12,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +6,7,16755,6,2,7,1,39,3.6,0.26,65,Y,0.41,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,10,16757,10,2,7,1,39,3.6,1.84,56,Y,1.98,P,7,P,94,1,2,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +2,3,16786,3,2,7,1,29,3.6,-0.82,66,Y,-0.85,F,7,F,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,659.999987,f 640-700,f 640-700,0.9993191,3.6 +9,10,16791,9,2,7,1,45,3.6,1.04,70,Y,1.43,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +5,5,16792,6,2,7,4,41,3.6,0.01,69,Y,-0.1,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +1,1,16820,1,2,7,1,33,3.6,-1.7,69,Y,-1.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +3,3,16823,3,2,6,4,31,3.6,-0.75,66,Y,-0.61,P,7,P,94,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,691.578933,f 640-700,f 640-700,0.9993191,3.6 +7,9,16841,7,2,7,1,41,3.6,0.35,68,Y,1.05,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +2,3,16850,2,1,7,5,45,3.6,-1.07,46,Y,-0.52,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +1,1,16856,1,2,7,4,42,3.6,-2.42,70,Y,-2.02,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +5,3,16857,5,2,7,4,40,3.6,-0.08,62,Y,-0.62,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +6,5,16859,6,1,7,4,29.5,3.6,0.17,63,Y,-0.11,P,2,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.8947235,f 640-700,f 640-700,0.9993191,3.6 +1,9,16894,1,2,7,1,34,3.6,-1.63,61,Y,1.09,P,2,P,96,2,1,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +2,2,16895,2,1,7,3,36,3.6,-0.85,69,Y,-0.94,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +4,6,16896,4,2,7,4,43,3.6,-0.43,62,Y,0.17,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +3,3,16897,4,2,7,3,22,3.6,-0.51,67,Y,-0.75,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,549.473676,d 520-580,d 520-580,0.9993191,3.6 +3,5,16899,3,1,7,1,36,3.6,-0.73,69,Y,-0.15,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +9,9,16903,9,2,7,3,36,3.6,1.18,69,Y,1.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +3,5,16912,4,2,7,1,35,3.6,-0.49,68,Y,-0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,8,16919,7,1,7,1,45,3.6,0.37,59,Y,0.64,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +10,10,16927,10,2,7,3,41,3.6,2.05,64,Y,1.69,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +1,1,16952,1,1,2,1,32,3.6,-1.86,64,Y,-1.79,P,7,P,94,1,3,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +4,5,16966,4,2,7,1,39,3.6,-0.28,67,Y,-0.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +,,16972,9,2,7,5,44,3.6,1.29,49,Y,,P,7,P,94,1,5,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +8,7,16975,8,2,7,5,43,3.6,0.63,69,Y,0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +8,7,16988,8,2,7,1,31,3.6,0.77,69,Y,0.43,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +7,7,16991,7,2,7,4,44,3.6,0.46,68,Y,0.34,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +3,4,17009,4,2,7,1,42,3.6,-0.43,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +8,9,17010,9,1,7,1,33,3.6,0.88,66,Y,1.18,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +5,6,17024,6,2,7,2,34,3.6,0.03,68,Y,0.2,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,738.947352,g 700+,g 700-760,0.9993191,3.6 +3,3,17036,3,1,7,1,34,3.6,-0.68,68,Y,-0.59,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,6,17041,7,1,7,5,39,3.6,0.4,69,Y,0.2,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,7,17047,8,1,7,4,29.5,3.6,0.55,68,Y,0.37,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,667.8947235,f 640-700,f 640-700,0.9993191,3.6 +4,3,17074,5,1,7,1,38,3.6,-0.19,69,Y,-0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,2,17096,4,1,3,6,23.5,3.6,-0.52,69,Y,-0.95,F,2,F,96,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,573.1578855,d 520-580,d 520-580,0.9993191,3.6 +1,1,17102,1,2,7,4,46,3.6,-1.72,69,Y,-1.4,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +10,10,17112,10,1,7,3,36,3.6,2.1,69,Y,1.96,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +2,2,17121,3,2,7,1,38,3.6,-0.77,69,Y,-1.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,17122,10,2,7,3,30.5,3.6,1.54,64,Y,1.73,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +4,3,17123,4,1,7,3,35,3.6,-0.42,69,Y,-0.87,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +6,8,17152,7,2,7,3,34,3.6,0.27,62,Y,0.81,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +,,17154,,1,7,1,36,3.6,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +2,2,17175,2,2,7,4,33,3.6,-0.99,65,Y,-0.9,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,723.157879,g 700+,g 700-760,0.9993191,3.6 +10,10,17204,10,1,7,5,43,3.6,1.76,60,Y,1.89,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +6,9,17229,6,1,7,3,39,3.6,0.13,69,Y,0.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,8,17244,8,1,7,2,37,3.6,0.55,69,Y,0.66,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,6,17256,7,1,7,3,38,3.6,0.35,69,Y,0.09,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,7,17274,8,1,7,5,48,3.6,0.67,66,Y,0.4,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +6,5,17277,6,2,7,5,43,3.6,0.14,68,Y,-0.04,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,17285,10,1,7,3,39,3.6,1.53,64,Y,1.79,P,7,P,94,1,1,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,10,17288,10,2,7,1,38,3.6,2.02,68,Y,1.63,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,17293,,2,7,3,35,3.6,,67,Y,-0.86,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +8,8,17318,8,2,7,4,45,3.6,0.6,69,Y,0.81,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +4,4,17330,4,2,7,5,44,3.6,-0.46,67,Y,-0.5,P,2,P,94,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +7,7,17331,7,2,7,3,38,3.6,0.39,61,Y,0.46,P,2,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +2,2,17341,2,1,7,1,41.5,3.6,-0.93,67,Y,-1.05,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,857.3683995,g 700+,i 820+,0.9993191,3.6 +2,2,17371,2,2,7,5,35,3.6,-0.98,58,Y,-0.92,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,754.736825,g 700+,g 700-760,0.9993191,3.6 +5,6,17408,5,2,7,1,34,3.6,-0.03,65,Y,0.11,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +,,17434,,1,7,5,36,3.6,,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,9,17447,6,2,7,4,43,3.6,0.14,68,Y,1.24,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +6,6,17449,6,1,7,4,46,3.6,0.13,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +,,17451,,1,7,5,43,3.6,,62,Y,,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +,,17462,,2,2,1,35,3.6,,69,Y,-0.78,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,8,17496,9,2,7,1,40,3.6,0.97,68,Y,0.67,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +1,2,17500,2,1,6,4,30,3.6,-1.17,56,Y,-1.22,P,7,P,94,1,2,-49,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,675.78946,f 640-700,f 640-700,0.9993191,3.6 +3,2,17504,3,1,6,4,44,3.6,-0.62,69,Y,-1.17,F,7,F,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +4,5,17532,5,2,3,6,17,3.6,-0.26,67,Y,-0.27,F,7,P,95,1,2,-60,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,470.526311,c 460-520,c 460-520,0.9993191,3.6 +10,9,17540,10,2,7,4,36,3.6,1.46,69,Y,1.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,9,17588,9,1,7,2,37,3.6,0.84,69,Y,1.22,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,9,17604,10,2,7,1,37,3.6,1.85,66,Y,1.25,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,7,17629,6,2,7,4,41,3.6,0.19,57,Y,0.38,P,2,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +8,8,17634,8,1,7,3,37,3.6,0.81,65,Y,0.83,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,2,17650,2,1,2,5,47,3.6,-1.07,71,Y,-1.3,F,7,F,94,1,3,-64,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +8,9,17655,8,2,7,1,48,3.6,0.84,67,Y,1.07,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,959.999974,g 700+,i 820+,0.9993191,3.6 +4,6,17657,4,2,7,1,41,3.6,-0.29,68,Y,0.12,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +8,8,17660,8,1,7,1,42,3.6,0.63,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +1,1,17670,1,1,7,4,39,3.6,-1.73,51,Y,-1.75,F,7,P,95,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,10,17674,9,2,7,1,40,3.6,0.89,59,Y,1.42,P,2,P,96,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +7,6,17678,7,2,7,4,41,3.6,0.3,69,Y,0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +4,4,17681,4,1,7,5,39,3.6,-0.33,63,Y,-0.3,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,10,17712,9,1,7,3,34,3.6,1.22,65,Y,1.63,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +,,17719,,2,7,6,25,3.6,,55,Y,,P,7,P,94,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,596.842095,e 580-640,e 580-640,0.9993191,3.6 +6,6,17722,6,1,7,1,28,3.6,0.14,69,Y,0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,644.210514,f 640-700,f 640-700,0.9993191,3.6 +,,17782,,1,3,1,32,3.6,,65,Y,1.39,P,2,P,95,2,3,-63,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +2,2,17785,2,2,7,1,41,3.6,-1.09,69,Y,-0.98,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +8,6,17801,8,2,7,3,37,3.6,0.59,69,Y,0.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,4,17815,4,1,6,3,31,3.6,-0.29,70,Y,-0.45,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,10,17821,10,1,7,1,33,3.6,1.56,55,Y,1.57,P,2,P,95,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +9,9,17844,9,2,2,5,38,3.6,1.2,69,Y,1.06,P,7,P,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,7,17847,4,2,7,5,47,3.6,-0.25,60,Y,0.3,P,7,P,94,1,,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +7,9,17852,7,2,2,1,43,3.6,0.47,65,Y,1.02,P,7,P,95,2,4,-58,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +3,5,17859,3,1,7,4,34,3.6,-0.54,69,Y,-0.24,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,8,17860,9,2,7,5,40,3.6,1.25,69,Y,0.62,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +7,8,17867,7,2,7,5,42,3.6,0.6,57,Y,0.7,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +2,1,17880,2,2,7,3,29,3.6,-0.99,61,Y,-1.35,P,2,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.999987,f 640-700,f 640-700,0.9993191,3.6 +7,8,17910,7,1,7,4,45,3.6,0.5,51,Y,0.82,P,7,P,94,1,2,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +8,8,17911,8,2,7,1,42,3.6,0.82,67,Y,0.84,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +6,6,17946,6,2,7,1,40,3.6,0.24,69,Y,0.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,17986,10,1,7,3,37,3.6,2.21,67,Y,2.4,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,6,18009,6,2,3,1,35,3.6,0.18,67,Y,0.21,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,9,18019,10,1,7,3,31,3.6,1.59,69,Y,1.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +9,8,18061,9,2,7,4,40,3.6,1.05,69,Y,0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +2,4,18076,3,1,7,1,39,3.6,-0.8,60,Y,-0.4,P,7,P,95,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +2,1,18086,2,2,7,4,35,3.6,-0.98,60,Y,-1.39,F,7,P,95,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +3,5,18093,4,1,7,3,32.5,3.6,-0.43,64,Y,-0.17,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,715.2631425,g 700+,g 700-760,0.9993191,3.6 +6,8,18112,6,1,7,4,31.5,3.6,0.18,68,Y,0.72,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +7,8,18148,7,1,7,1,37,3.6,0.52,69,Y,0.58,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,7,18162,7,1,7,3,32,3.6,0.52,69,Y,0.44,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +10,10,18167,10,2,2,5,47,3.6,1.48,67,Y,1.88,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +7,6,18174,7,1,7,2,38,3.6,0.41,69,Y,0.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,18184,10,1,7,4,41,3.6,1.55,69,Y,1.65,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +2,2,18218,2,1,7,5,41,3.6,-0.9,61,Y,-0.86,P,2,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +6,5,18229,6,1,7,1,36,3.6,0.14,69,Y,-0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +,,18236,,1,7,5,34,3.6,,68,Y,,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,3,18255,4,1,7,5,41,3.6,-0.34,68,Y,-0.61,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +1,1,18275,2,2,7,2,31,3.6,-1.17,67,Y,-1.8,F,2,P,96,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,10,18286,10,2,7,3,39,3.6,1.3,68,Y,1.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +,,18297,,2,7,1,40,3.6,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,18332,,1,7,1,33,3.6,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +10,9,18349,10,2,7,4,43,3.6,1.66,68,Y,1.06,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +3,6,18381,4,1,7,3,37,3.6,-0.43,70,Y,0.13,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,6,18400,6,2,7,1,35,3.6,0.17,52,Y,0.28,P,7,P,94,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +,,18411,,2,7,4,35,3.6,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +5,4,18478,6,2,7,4,41,3.6,0.05,66,Y,-0.3,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +,,18485,,1,7,5,38,3.6,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,9,18502,10,2,7,3,37,3.6,1.49,69,Y,0.88,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,7,18513,7,1,7,4,40,3.6,0.33,68,Y,0.5,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +,,18516,5,1,7,5,46,3.6,-0.07,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +7,4,18528,7,2,7,1,43,3.6,0.35,68,Y,-0.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +7,6,18533,7,2,7,1,39,3.6,0.44,69,Y,0.28,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,3,18569,3,1,7,1,35,3.6,-0.67,67,Y,-0.82,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,8,18572,9,1,2,4,47,3.6,1.25,68,Y,0.59,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +5,5,18580,6,1,7,6,33,3.6,0.02,68,Y,-0.13,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,723.157879,g 700+,g 700-760,0.9993191,3.6 +,,18630,,1,3,4,32,3.6,,69,Y,-1.56,P,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,707.368406,g 700+,g 700-760,0.9993191,3.6 +4,5,18636,5,2,7,2,31,3.6,-0.3,68,Y,-0.28,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,691.578933,f 640-700,f 640-700,0.9993191,3.6 +8,9,18830,8,2,7,4,42,3.6,0.81,69,Y,1.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +5,5,18903,5,2,7,1,39,3.6,-0.16,48,Y,-0.13,P,7,P,94,1,1,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,4,18910,7,1,7,5,36.5,3.6,0.39,69,Y,-0.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,778.4210345,g 700+,h 760-820,0.9993191,3.6 +9,10,18926,9,2,7,1,39,3.6,0.9,64,Y,1.47,P,2,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +,,18929,,1,7,3,36,3.6,,65,Y,,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +9,9,18948,9,2,7,5,45,3.6,1.26,69,Y,0.93,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +9,9,18952,9,1,7,1,40,3.6,1.08,69,Y,1.18,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +7,7,18958,7,1,7,3,31,3.6,0.51,52,Y,0.51,F,2,P,95,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +8,9,18959,9,1,7,6,34,3.6,0.88,52,Y,1.01,P,7,P,94,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,3,18965,4,1,7,3,32,3.6,-0.41,69,Y,-0.75,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +6,10,18980,6,2,8,3,36,3.6,0.15,69,Y,1.47,P,7,P,94,1,3,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +9,9,18982,9,2,7,3,40,3.6,1.01,48,Y,1.28,P,7,P,94,1,4,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +2,1,18993,2,2,7,4,34.5,3.6,-0.91,68,Y,-1.64,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,746.8420885,g 700+,g 700-760,0.9993191,3.6 +4,6,18995,4,1,7,1,44,3.6,-0.36,69,Y,0.06,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +5,5,19001,5,2,7,3,26,3.6,-0.17,70,Y,-0.2,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,612.631568,e 580-640,e 580-640,0.9993191,3.6 +1,1,19006,1,2,7,1,36,3.6,-1.62,57,Y,-2.13,F,7,F,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,6,19060,7,1,7,1,35,3.6,0.36,68,Y,0.07,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +5,6,19076,6,1,7,3,40,3.6,0.01,69,Y,0.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +,,19077,,2,7,5,48,3.6,,67,Y,0,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +2,5,19082,2,2,3,4,37,3.6,-0.84,68,Y,-0.22,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,7,19087,6,1,2,4,48,3.6,0.08,67,Y,0.29,P,7,P,94,1,5,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,959.999974,g 700+,i 820+,0.9993191,3.6 +10,9,19095,10,1,7,1,43,3.6,1.36,68,Y,1.25,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +,,19117,,1,7,5,47,3.6,,70,Y,0,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +9,9,19136,9,2,7,1,41,3.6,1.04,66,Y,1.05,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +1,3,19144,2,2,3,3,17.5,3.6,-1.28,63,Y,-0.81,P,7,P,94,1,2,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,478.4210475,c 460-520,c 460-520,0.9993191,3.6 +7,9,19168,8,1,7,2,27.7,3.6,0.55,68,Y,1.07,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.4736721,e 580-640,e 580-640,0.9993191,3.6 +,,19172,8,1,7,5,40,3.6,0.68,68,Y,,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +4,4,19192,4,2,7,1,35,3.6,-0.23,69,Y,-0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,6,19212,5,1,7,3,27.5,3.6,-0.18,66,Y,0.26,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,636.3157775,e 580-640,e 580-640,0.9993191,3.6 +4,6,19235,4,2,7,4,40,3.6,-0.28,66,Y,0.17,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +10,8,19241,10,1,7,3,31,3.6,1.3,69,Y,0.85,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,10,19261,10,2,7,3,36,3.6,1.95,57,Y,2.02,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +5,7,19270,5,1,7,1,40,3.6,-0.03,69,Y,0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +4,5,19271,4,1,7,5,44,3.6,-0.3,68,Y,0.01,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +7,6,19275,7,2,7,1,36,3.6,0.44,52,Y,0.14,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +1,3,19279,1,1,7,3,28,3.6,-1.59,64,Y,-0.6,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.210514,f 640-700,f 640-700,0.9993191,3.6 +6,7,19286,7,1,7,3,37,3.6,0.27,68,Y,0.5,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,4,19294,2,2,7,3,38,3.6,-0.95,,Y,-0.53,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +1,2,19295,1,1,7,1,39,3.6,-1.38,61,Y,-1.22,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,4,19301,5,2,7,1,44,3.6,-0.12,66,Y,-0.42,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +,,19305,,2,7,4,38,3.6,,69,Y,-0.59,P,2,P,96,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +6,8,19329,6,1,7,3,30,3.6,0.25,69,Y,0.8,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +1,1,19344,1,2,7,3,31,3.6,-1.64,69,Y,-1.74,F,7,F,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +8,9,19385,8,1,7,4,44,3.6,0.81,66,Y,1.28,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +8,4,19394,9,1,7,3,38,3.6,0.84,68,Y,-0.52,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,7,19395,4,1,7,1,33,3.6,-0.43,44,Y,0.4,P,7,P,94,1,4,-37,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +8,10,19398,8,2,7,4,40,3.6,0.61,66,Y,1.93,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +6,8,19422,6,2,7,3,38,3.6,0.11,68,Y,0.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +6,6,19448,7,2,7,3,33,3.6,0.3,69,Y,0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +8,8,19471,9,2,7,6,35.5,3.6,0.89,68,Y,0.87,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,762.6315615,g 700+,h 760-820,0.9993191,3.6 +10,10,19479,10,2,7,3,42,3.6,1.51,63,Y,1.55,F,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,865.263136,g 700+,i 820+,0.9993191,3.6 +8,9,19520,8,2,7,4,44,3.6,0.75,69,Y,0.87,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +8,9,19528,8,1,7,3,31.5,3.6,0.71,69,Y,1.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +2,2,19535,2,1,2,3,38,3.6,-1.01,69,Y,-1.31,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,7,19542,9,2,7,3,39,3.6,1.17,69,Y,0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,9,19582,10,2,7,1,41,3.6,1.36,69,Y,1.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +7,6,19591,7,1,7,1,34,3.6,0.46,68,Y,0.03,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +3,3,19612,4,2,7,3,34,3.6,-0.46,69,Y,-0.77,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,7,19619,9,2,7,1,42,3.6,1.14,67,Y,0.51,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +,,19623,3,2,7,5,41,3.6,-0.8,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +10,9,19646,10,2,2,2,36,3.6,1.37,69,Y,0.91,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,770.526298,g 700+,h 760-820,0.9993191,3.6 +1,1,19657,1,1,8,5,31,3.6,-2.12,66,Y,-1.54,P,7,P,94,1,2,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,691.578933,f 640-700,f 640-700,0.9993191,3.6 +8,10,19670,8,1,7,3,35,3.6,0.8,68,Y,1.58,P,6,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,19699,10,1,7,3,37,3.6,1.47,68,Y,2.04,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,2,19744,2,2,7,2,28,3.6,-1.01,69,Y,-1.15,F,7,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,644.210514,f 640-700,f 640-700,0.9993191,3.6 +4,6,19774,5,1,3,3,29,3.6,-0.22,66,Y,0.01,P,7,P,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,659.999987,f 640-700,f 640-700,0.9993191,3.6 +,,19792,,2,7,5,37.5,3.6,,69,Y,,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,794.2105075,g 700+,h 760-820,0.9993191,3.6 +10,8,19795,10,2,7,3,36,3.6,1.64,69,Y,0.85,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,10,19803,10,2,7,4,41,3.6,1.52,59,Y,1.39,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +8,10,19818,8,1,7,1,38,3.6,0.86,57,Y,1.38,P,2,P,94,1,5,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,4,19833,4,2,7,1,34,3.6,-0.42,68,Y,-0.53,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,5,19857,4,2,7,4,42,3.6,-0.43,68,Y,-0.18,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +9,6,19867,9,1,7,4,42,3.6,1.05,70,Y,0.22,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +10,9,19882,10,2,8,4,45,3.6,1.77,67,Y,0.91,P,7,P,94,1,2,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +4,4,19883,5,2,7,2,27,3.6,-0.27,68,Y,-0.33,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.421041,e 580-640,e 580-640,0.9993191,3.6 +9,10,19885,9,2,7,4,34,3.6,1,69,Y,1.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,10,19890,9,1,7,1,39,3.6,1.23,67,Y,1.57,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,9,19897,8,2,7,3,46,3.6,0.74,69,Y,1.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,928.421028,g 700+,i 820+,0.9993191,3.6 +8,9,19909,8,1,7,5,45,3.6,0.71,67,Y,0.85,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +3,3,19922,3,2,7,1,39,3.6,-0.58,66,Y,-0.6,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,8,19923,6,2,7,1,36,3.6,0.12,69,Y,0.67,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +5,7,19926,5,1,2,5,45,3.6,-0.06,70,Y,0.37,P,7,P,94,1,5,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +10,9,19938,10,2,7,3,45,3.6,1.35,58,Y,1.22,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,912.631555,g 700+,i 820+,0.9993191,3.6 +1,6,19947,1,1,7,4,42,3.6,-1.43,66,Y,0.13,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +,,19975,3,1,5,5,37,3.6,-0.56,70,Y,,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,8,20001,7,1,7,3,35,3.6,0.43,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,7,20003,7,2,7,1,39,3.6,0.51,64,Y,0.43,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,7,20005,9,1,7,3,36,3.6,0.85,66,Y,0.39,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +9,9,20006,10,1,7,3,37,3.6,1.27,69,Y,1.29,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,6,20043,4,1,7,4,47,3.6,-0.32,56,Y,0.23,P,7,P,94,1,1,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +8,9,20064,8,2,7,1,39,3.6,0.62,68,Y,1.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,9,20067,8,2,7,1,44,3.6,0.8,47,Y,1.23,P,7,P,94,1,4,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +3,3,20082,3,2,7,5,45,3.6,-0.55,68,Y,-0.61,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +10,9,20120,10,2,7,4,44,3.6,1.88,69,Y,1.24,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +1,1,20159,1,1,6,4,29,3.6,-2.61,69,Y,-1.86,P,2,P,95,1,4,-67,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,659.999987,f 640-700,f 640-700,0.9993191,3.6 +6,10,20165,6,2,7,3,40,3.6,0.22,69,Y,1.38,P,,P,,2,4,,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +7,6,20179,7,2,7,4,44,3.6,0.54,51,Y,0.05,P,7,P,94,1,2,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +3,3,20192,3,1,7,3,26.3,3.6,-0.56,44,Y,-0.83,F,2,F,95,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,617.3684099,e 580-640,e 580-640,0.9993191,3.6 +8,9,20211,8,1,7,4,41,3.6,0.72,70,Y,1.09,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +9,9,20222,9,2,7,1,43,3.6,0.95,58,Y,1.1,P,6,P,93,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +7,7,20228,7,1,7,3,30,3.6,0.4,69,Y,0.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +3,4,20233,3,2,7,3,36,3.6,-0.6,68,Y,-0.51,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +2,5,20264,2,1,7,1,39,3.6,-0.87,61,Y,-0.22,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,8,20268,8,2,7,6,23.5,3.6,0.69,67,Y,0.81,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,573.1578855,d 520-580,d 520-580,0.9993191,3.6 +8,6,20269,8,1,7,3,37,3.6,0.69,51,Y,0.25,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,20273,10,2,7,3,41,3.6,1.91,60,Y,1.95,P,7,P,95,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +3,3,20293,3,1,7,5,38,3.6,-0.71,69,Y,-0.77,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,4,20306,4,1,7,4,44,3.6,-0.25,69,Y,-0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +1,10,20321,1,1,7,4,45,3.6,-1.26,69,Y,1.39,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +,,20350,8,2,7,5,43,3.6,0.79,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +5,3,20365,6,1,7,1,38,3.6,0.06,68,Y,-0.77,P,,P,,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,20391,10,2,7,1,40,3.6,1.52,66,Y,1.29,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +7,9,20405,7,2,7,4,46,3.6,0.4,66,Y,1.03,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +3,2,20407,3,2,7,4,36,3.6,-0.74,68,Y,-1.23,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +1,1,20423,2,1,2,4,41,3.6,-1.23,69,Y,-1.7,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +2,3,20426,3,1,7,2,31,3.6,-0.8,53,Y,-0.63,F,7,P,95,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,691.578933,f 640-700,f 640-700,0.9993191,3.6 +10,10,20439,10,1,7,1,41,3.6,1.45,66,Y,1.66,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +,,20454,2,1,2,5,42,3.6,-1.2,68,Y,,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +,,20492,,2,7,3,39,3.6,,69,Y,0.32,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +,,20500,8,2,7,5,46,3.6,0.8,67,Y,,P,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +7,8,20522,7,2,7,4,43,3.6,0.49,69,Y,0.54,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +2,1,20536,2,2,7,3,36,3.6,-0.94,69,Y,-1.33,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,9,20545,10,2,7,1,34,3.6,1.6,68,Y,1.04,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,8,20549,7,2,7,5,44,3.6,0.38,60,Y,0.59,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +10,10,20575,10,1,7,3,28,3.6,1.51,69,Y,1.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.210514,f 640-700,f 640-700,0.9993191,3.6 +7,7,20584,7,1,7,4,44,3.6,0.4,68,Y,0.54,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +10,5,20607,10,1,7,1,38,3.6,1.66,69,Y,-0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,20609,1,1,3,5,30,3.6,-1.88,69,Y,,F,7,P,95,1,,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,675.78946,f 640-700,f 640-700,0.9993191,3.6 +10,10,20616,10,2,7,3,38,3.6,1.6,69,Y,1.37,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,5,20630,5,1,7,4,46,3.6,-0.13,69,Y,-0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +,,20668,4,2,7,5,40.3,3.6,-0.34,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,838.4210319,g 700+,i 820+,0.9993191,3.6 +8,7,20669,8,2,7,5,45,3.6,0.9,66,Y,0.53,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +3,4,20692,3,2,7,1,25,3.6,-0.64,63,Y,-0.4,F,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,596.842095,e 580-640,e 580-640,0.9993191,3.6 +1,2,20694,1,1,7,5,41,3.6,-1.71,68,Y,-0.98,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +7,5,20699,7,1,7,1,32,3.6,0.34,58,Y,-0.06,P,2,P,95,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +3,3,20704,3,1,7,1,38,3.6,-0.51,55,Y,-0.66,P,2,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,2,20705,3,2,7,4,37,3.6,-0.7,64,Y,-1.3,P,2,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,20719,10,2,7,1,44,3.6,2.01,69,Y,2.06,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +8,6,20728,8,1,7,3,37,3.6,0.58,69,Y,0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,20742,10,2,7,4,43,3.6,2.11,68,Y,1.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +8,8,20756,8,2,7,1,37,3.6,0.66,60,Y,0.86,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +5,3,20759,5,1,7,1,40,3.6,-0.01,67,Y,-0.65,P,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +1,2,20763,1,2,7,3,28,3.6,-1.38,67,Y,-0.9,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.210514,f 640-700,f 640-700,0.9993191,3.6 +5,8,20764,5,2,7,1,39,3.6,0.02,69,Y,0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,3,20777,5,1,7,1,34,3.6,0,69,Y,-0.8,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +10,10,20789,10,2,7,1,34,3.6,1.55,69,Y,1.77,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,6,20809,8,1,7,4,39,3.6,0.56,69,Y,0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,7,20836,5,1,7,3,36,3.6,-0.08,69,Y,0.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,4,20849,7,2,7,4,47,3.6,0.48,69,Y,-0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +6,6,20850,6,1,7,4,42,3.6,0.06,68,Y,0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +4,5,20860,4,2,7,4,43,3.6,-0.26,60,Y,-0.14,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +3,4,20870,3,1,7,3,28,3.6,-0.57,67,Y,-0.34,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.210514,f 640-700,f 640-700,0.9993191,3.6 +6,8,20890,6,1,7,1,35.7,3.6,0.1,68,Y,0.71,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.7894561,g 700+,h 760-820,0.9993191,3.6 +5,6,20911,5,1,2,5,46,3.6,0.06,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +3,3,20913,3,1,2,5,44,3.6,-0.78,68,Y,-0.73,P,7,P,95,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +7,9,20920,8,1,2,4,36,3.6,0.56,68,Y,1.03,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +2,4,20932,2,1,2,4,37,3.6,-0.84,69,Y,-0.44,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +5,3,20935,5,1,7,1,38,3.6,-0.15,65,Y,-0.67,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,9,20941,10,2,7,1,43,3.6,1.31,68,Y,1.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,881.052609,g 700+,i 820+,0.9993191,3.6 +8,9,20961,8,2,7,4,41.5,3.6,0.75,67,Y,0.96,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,857.3683995,g 700+,i 820+,0.9993191,3.6 +5,5,20970,5,1,7,3,29,3.6,-0.1,69,Y,-0.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.999987,f 640-700,f 640-700,0.9993191,3.6 +9,10,20986,9,2,7,4,45,3.6,1.02,64,Y,1.39,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +7,8,20997,7,1,7,3,37,3.6,0.46,69,Y,0.75,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,21021,,1,7,3,37,3.6,,69,Y,,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +8,9,21047,9,1,7,4,29,3.6,0.87,68,Y,1.08,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,659.999987,f 640-700,f 640-700,0.9993191,3.6 +7,4,21048,7,2,7,1,32,3.6,0.5,69,Y,-0.27,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +8,5,21054,8,2,7,4,44,3.6,0.77,64,Y,-0.01,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +8,8,21057,8,1,7,4,40,3.6,0.6,64,Y,0.65,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +4,5,21068,4,1,7,4,41,3.6,-0.26,65,Y,-0.06,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +9,9,21069,9,2,7,1,38,3.6,0.97,67,Y,1.24,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,6,21080,5,1,7,1,37,3.6,-0.21,69,Y,0.23,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +5,5,21088,5,2,7,3,39,3.6,-0.02,54,Y,-0.18,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,4,21102,6,2,7,1,39,3.6,0.18,68,Y,-0.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,2,21106,5,1,7,5,46,3.6,-0.15,69,Y,-1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +9,9,21118,9,1,7,5,45,3.6,1.33,68,Y,1.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +7,8,21159,7,2,7,5,45,3.6,0.57,69,Y,0.6,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +5,3,21172,5,2,7,4,36,3.6,-0.06,69,Y,-0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,4,21177,6,2,7,4,42,3.6,0.11,67,Y,-0.27,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +9,8,21179,9,1,7,1,39,3.6,0.96,68,Y,0.82,P,6,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,7,21238,7,1,7,4,35,3.6,0.53,64,Y,0.41,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,21289,10,1,7,1,48,3.6,1.71,65,Y,1.55,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,959.999974,g 700+,i 820+,0.9993191,3.6 +9,10,21291,9,1,7,1,45,3.6,1.03,59,Y,1.86,P,2,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +5,7,21374,6,1,6,3,35,3.6,0.03,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,6,21385,7,1,7,3,33,3.6,0.49,69,Y,0.25,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +6,7,21386,6,1,7,4,48,3.6,0.14,67,Y,0.32,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,959.999974,g 700+,i 820+,0.9993191,3.6 +6,7,21388,6,2,7,1,34,3.6,0.25,67,Y,0.34,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,7,21394,7,2,7,4,40,3.6,0.35,68,Y,0.43,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +5,8,21399,6,2,7,3,33,3.6,0,69,Y,0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +6,7,21400,7,2,7,1,37,3.6,0.31,69,Y,0.54,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,4,21424,6,2,7,4,44,3.6,0.14,69,Y,-0.38,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +3,5,21450,3,2,7,1,41,3.6,-0.57,68,Y,-0.03,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +5,3,21455,5,1,7,1,42,3.6,-0.11,49,Y,-0.79,P,7,P,94,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +1,1,21459,1,2,7,4,42,3.6,-2.13,66,Y,-2.25,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +2,2,21480,2,1,7,4,42,3.6,-0.95,66,Y,-1.17,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +4,3,21498,4,1,7,4,41,3.6,-0.42,68,Y,-0.57,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +8,9,21500,8,1,2,5,43,3.6,0.86,70,Y,0.92,P,7,P,94,1,5,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,21503,10,2,7,3,39,3.6,1.68,70,Y,2.24,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,8,21506,8,2,7,4,36.7,3.6,0.75,67,Y,0.61,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,781.5789291,g 700+,h 760-820,0.9993191,3.6 +2,2,21520,2,1,7,3,30.7,3.6,-0.97,49,Y,-0.94,P,7,P,94,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.8420911,f 640-700,f 640-700,0.9993191,3.6 +2,2,21537,2,2,7,4,44,3.6,-1.1,69,Y,-1.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +6,6,21565,6,1,7,3,38,3.6,0.25,68,Y,0.04,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +2,4,21575,2,1,7,3,30,3.6,-0.91,50,Y,-0.37,P,7,P,95,2,3,-43,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +1,2,21590,1,1,7,1,37,3.6,-2.79,67,Y,-1.06,F,7,P,96,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,21615,,2,7,4,39,3.6,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,9,21622,9,2,7,1,37,3.6,0.91,61,Y,1.14,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +6,8,21648,6,1,7,5,44,3.6,0.16,69,Y,0.56,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +5,4,21681,5,1,7,1,42,3.6,-0.09,69,Y,-0.46,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +2,1,21699,3,2,7,3,31.5,3.6,-0.73,63,Y,-1.46,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +10,10,21713,10,2,7,1,45,3.6,1.9,66,Y,1.39,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +8,9,21715,8,1,7,1,32,3.6,0.69,49,Y,1.28,P,7,P,94,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +6,5,21722,6,2,7,4,37,3.6,0.24,70,Y,-0.13,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,9,21729,10,2,7,3,33,3.6,2.02,69,Y,1.27,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +10,9,21744,10,2,7,4,44,3.6,1.8,67,Y,1.27,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +10,10,21784,10,1,7,1,38,3.6,1.85,69,Y,1.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,8,21826,8,1,7,1,37,3.6,0.73,58,Y,0.83,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,21829,10,1,7,3,40,3.6,2.38,68,Y,2.57,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +9,9,21845,9,2,7,5,48,3.6,1.08,66,Y,0.85,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +1,2,21848,2,2,7,1,40,3.6,-1.22,63,Y,-0.89,P,2,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +,,21863,,1,7,1,35.5,3.6,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,762.6315615,g 700+,h 760-820,0.9993191,3.6 +10,10,21877,10,1,7,4,34,3.6,1.3,67,Y,1.74,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +1,1,21886,1,1,7,5,42,3.6,-2.41,69,Y,-1.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +6,8,21909,6,1,7,1,39,3.6,0.15,70,Y,0.61,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,4,21911,4,1,8,1,37,3.6,-0.41,69,Y,-0.51,F,2,P,96,1,5,-67,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,21915,10,1,7,4,40,3.6,1.39,68,Y,1.5,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +3,5,21921,4,1,7,1,39,3.6,-0.46,69,Y,-0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,8,21933,9,2,7,2,42,3.6,0.94,69,Y,0.62,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,865.263136,g 700+,i 820+,0.9993191,3.6 +7,6,21946,7,2,7,5,47,3.6,0.37,68,Y,0.1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +9,10,21973,9,2,7,5,42,3.6,1.34,68,Y,1.36,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +3,3,22011,3,1,7,4,37,3.6,-0.56,69,Y,-0.53,P,7,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,6,22015,5,1,7,1,36,3.6,-0.18,70,Y,0.05,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,10,22023,10,1,7,3,33,3.6,2.13,69,Y,2.38,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +5,7,22040,5,1,7,5,45,3.6,-0.15,68,Y,0.4,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +1,3,22065,2,1,4,3,28,3.6,-1.16,57,Y,-0.66,F,7,P,95,1,3,-50,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,644.210514,f 640-700,f 640-700,0.9993191,3.6 +5,3,22085,5,1,7,3,33,3.6,-0.03,69,Y,-0.78,P,7,P,94,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +8,7,22091,8,1,7,3,35.5,3.6,0.81,69,Y,0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.6315615,g 700+,h 760-820,0.9993191,3.6 +9,9,22092,9,2,7,3,37,3.6,1.1,69,Y,0.98,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +2,2,22097,2,1,7,1,38,3.6,-1.03,69,Y,-1.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,1,22130,3,1,7,2,40,3.6,-0.62,69,Y,-1.25,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,22141,10,2,7,5,42,3.6,1.54,69,Y,1.89,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +7,5,22143,7,1,7,1,29,3.6,0.45,68,Y,-0.04,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,659.999987,f 640-700,f 640-700,0.9993191,3.6 +3,5,22170,3,1,7,1,35,3.6,-0.67,69,Y,-0.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,3,22172,2,2,7,4,42,3.6,-0.88,68,Y,-0.68,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +9,10,22181,9,1,7,3,33,3.6,0.89,61,Y,1.57,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +7,7,22200,7,1,7,3,29,3.6,0.46,69,Y,0.54,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.999987,f 640-700,f 640-700,0.9993191,3.6 +7,9,22213,7,2,7,3,43,3.6,0.4,64,Y,1.01,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +3,2,22230,3,2,7,5,43,3.6,-0.78,69,Y,-1.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +1,2,22231,1,2,3,5,28.5,3.6,-1.36,68,Y,-1.3,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,652.1052505,f 640-700,f 640-700,0.9993191,3.6 +7,7,22265,7,1,7,3,42,3.6,0.5,69,Y,0.41,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,865.263136,g 700+,i 820+,0.9993191,3.6 +5,5,22266,5,1,7,4,39.5,3.6,-0.09,68,Y,-0.23,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,825.7894535,g 700+,i 820+,0.9993191,3.6 +,,22300,7,2,7,5,42,3.6,0.57,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +,,22302,5,1,7,5,42,3.6,0.03,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +8,7,22335,8,1,7,1,37.5,3.6,0.78,67,Y,0.48,P,2,P,94,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,794.2105075,g 700+,h 760-820,0.9993191,3.6 +6,5,22377,6,2,7,5,45,3.6,0.09,69,Y,-0.2,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +,,22379,9,2,7,5,40,3.6,1.31,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +9,8,22412,9,2,7,5,47,3.6,1.15,64,Y,0.68,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +5,7,22449,5,1,7,1,46,3.6,-0.03,66,Y,0.39,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,928.421028,g 700+,i 820+,0.9993191,3.6 +7,5,22470,7,2,7,1,39,3.6,0.54,70,Y,-0.04,P,2,P,94,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +2,3,22482,2,2,7,4,43,3.6,-0.84,65,Y,-0.81,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +10,8,22499,10,1,7,3,33,3.6,1.37,69,Y,0.75,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +,,22511,6,2,7,5,43,3.6,0.2,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +,,22520,,1,7,5,47,3.6,,67,Y,0,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +8,7,22552,8,1,7,1,38,3.6,0.79,56,Y,0.34,P,7,P,94,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +1,2,22553,1,1,7,4,41,3.6,-1.37,66,Y,-1.19,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +8,7,22576,8,2,7,5,42,3.6,0.67,62,Y,0.48,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +10,9,22588,10,2,7,1,32,3.6,2.07,68,Y,1.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +8,8,22596,8,2,7,1,38,3.6,0.69,69,Y,0.61,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +4,8,22618,4,2,7,4,31,3.6,-0.32,69,Y,0.69,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,691.578933,f 640-700,f 640-700,0.9993191,3.6 +3,4,22637,3,2,7,1,40,3.6,-0.65,68,Y,-0.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +8,9,22672,8,2,7,4,46,3.6,0.8,68,Y,1.09,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +9,8,22687,10,2,7,1,42,3.6,1.3,69,Y,0.87,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,22701,10,2,7,1,44,3.6,2.18,57,Y,1.99,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +9,10,22711,10,1,2,3,33,3.6,1.28,68,Y,1.6,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +6,7,22717,7,2,7,4,44,3.6,0.27,67,Y,0.4,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +5,1,22719,5,1,7,3,39,3.6,-0.06,69,Y,-1.31,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +8,8,22724,8,2,7,1,40,3.6,0.68,66,Y,0.75,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +9,9,22729,9,2,7,4,44,3.6,1.04,67,Y,0.96,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +10,8,22734,10,2,7,3,35,3.6,1.37,67,Y,0.84,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +3,2,22753,4,1,7,3,26,3.6,-0.47,67,Y,-1.18,F,7,P,95,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,612.631568,e 580-640,e 580-640,0.9993191,3.6 +8,8,22763,8,1,7,1,37,3.6,0.77,52,Y,0.67,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +8,8,22772,8,1,7,1,37,3.6,0.68,69,Y,0.7,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +,,22796,,1,3,5,38,3.6,,69,Y,0,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,4,22800,4,2,7,3,31,3.6,-0.43,68,Y,-0.42,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +1,2,22816,1,2,2,3,23,3.6,-1.52,67,Y,-1.14,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,565.263149,d 520-580,d 520-580,0.9993191,3.6 +,,22827,,1,6,1,34,3.6,,59,Y,,F,7,P,95,1,2,-52,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +2,1,22847,2,1,7,3,38,3.6,-1,69,Y,-1.33,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,8,22879,4,1,7,3,38,3.6,-0.48,69,Y,0.57,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +3,3,22886,3,1,4,1,31,3.6,-0.67,69,Y,-0.69,F,7,F,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +8,9,22898,8,1,7,1,42,3.6,0.77,69,Y,0.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,22900,10,2,7,1,44,3.6,1.57,65,Y,1.64,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +,,22901,7,1,7,5,48,3.6,0.44,69,Y,,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +5,6,22904,5,1,7,5,46,3.6,-0.07,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +1,1,22917,1,1,3,3,24,3.6,-2.22,69,Y,-1.65,F,7,P,95,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,581.052622,e 580-640,e 580-640,0.9993191,3.6 +,,22933,,2,7,2,28,3.6,,63,X,,F,7,P,96,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,644.210514,f 640-700,f 640-700,0.9993191,3.6 +8,6,22940,8,2,7,1,37,3.6,0.63,69,Y,0.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,8,22942,9,2,7,2,39,3.6,1.09,64,Y,0.7,P,7,P,95,2,5,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,2,22996,5,1,6,3,32,3.6,-0.21,67,Y,-1.16,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +9,8,23028,9,1,7,1,42,3.6,1.12,68,Y,0.79,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +9,2,23042,9,2,2,5,39,3.6,1.35,69,Y,-1.24,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,5,23046,6,2,7,5,41,3.6,0.18,68,Y,-0.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +7,9,23047,7,1,7,4,36,3.6,0.37,69,Y,0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,7,23138,8,2,7,4,44.5,3.6,0.57,66,Y,0.43,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,904.7368185,g 700+,i 820+,0.9993191,3.6 +7,7,23142,7,2,7,1,35,3.6,0.4,66,Y,0.36,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,23181,10,1,7,1,32,3.6,1.49,56,Y,1.37,P,7,P,94,1,5,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +1,2,23194,2,2,7,3,34,3.6,-1.16,,Y,-1,P,2,P,95,2,1,,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,5,23221,5,2,7,4,47,3.6,-0.12,68,Y,-0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +1,2,23235,2,1,7,2,28,3.6,-1.16,51,Y,-1.05,F,2,F,96,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,644.210514,f 640-700,f 640-700,0.9993191,3.6 +6,6,23252,6,1,7,4,40,3.6,0.09,68,Y,0.09,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +8,9,23265,8,1,7,1,40,3.6,0.72,69,Y,1.26,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +4,6,23272,4,2,6,4,47,3.6,-0.27,67,Y,0.14,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +10,10,23283,10,2,7,5,43,3.6,1.49,68,Y,1.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +2,2,23296,2,2,4,5,39,3.6,-0.95,68,Y,-0.95,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,5,23313,4,1,7,1,35,3.6,-0.32,66,Y,-0.15,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +6,8,23315,6,1,7,1,36,3.6,0.1,69,Y,0.74,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +3,5,23335,3,2,7,5,48,3.6,-0.56,69,Y,-0.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +10,10,23337,10,2,7,1,42,3.6,1.94,67,Y,1.55,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +10,9,23338,10,1,7,3,38,3.6,1.36,69,Y,1.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,9,23353,9,2,7,3,30,3.6,0.98,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +6,4,23372,6,2,8,4,34.5,3.6,0.05,67,Y,-0.32,P,7,P,94,1,3,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,746.8420885,g 700+,g 700-760,0.9993191,3.6 +7,6,23376,8,2,7,3,30,3.6,0.53,53,Y,0.07,P,2,P,95,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +9,9,23388,9,1,7,2,29,3.6,0.94,57,Y,1.03,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,659.999987,f 640-700,f 640-700,0.9993191,3.6 +,,23403,,2,7,5,37,3.6,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,9,23427,9,2,7,3,35,3.6,1.12,69,Y,1.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,5,23441,7,2,7,4,46,3.6,0.41,67,Y,-0.02,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,928.421028,g 700+,i 820+,0.9993191,3.6 +6,10,23465,6,2,7,6,40,3.6,0.24,62,Y,1.54,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,833.68419,g 700+,i 820+,0.9993191,3.6 +6,4,23466,6,2,7,1,41,3.6,0.12,61,Y,-0.4,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +10,4,23483,10,1,7,3,26.5,3.6,1.54,63,Y,-0.33,P,2,P,95,2,5,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,620.5263045,e 580-640,e 580-640,0.9993191,3.6 +4,2,23484,4,2,7,4,38,3.6,-0.35,64,Y,-1,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,23489,10,1,7,3,42,3.6,1.63,67,Y,1.88,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,865.263136,g 700+,i 820+,0.9993191,3.6 +8,4,23493,9,1,7,4,47,3.6,0.86,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,944.210501,g 700+,i 820+,0.9993191,3.6 +6,7,23503,6,1,7,5,45,3.6,0.16,67,Y,0.44,P,2,P,94,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +3,2,23521,3,1,7,1,37,3.6,-0.53,69,Y,-0.98,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,10,23525,9,1,7,4,45,3.6,1,68,Y,1.53,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +6,6,23527,6,1,7,5,40,3.6,0.09,69,Y,0.18,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,23529,10,2,7,3,43,3.6,1.48,69,Y,1.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +5,6,23537,5,2,7,1,32,3.6,0.03,68,Y,0.05,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +9,7,23568,9,2,7,1,42,3.6,0.91,66,Y,0.46,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +9,9,23588,9,2,7,1,42,3.6,1.22,69,Y,1.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +7,5,23602,7,2,7,5,36,3.6,0.59,69,Y,0,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,770.526298,g 700+,h 760-820,0.9993191,3.6 +3,5,23622,4,1,3,4,32,3.6,-0.47,67,Y,-0.22,P,7,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,707.368406,g 700+,g 700-760,0.9993191,3.6 +2,1,23634,2,1,7,3,33,3.6,-0.96,69,Y,-1.45,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +5,6,23636,6,1,7,1,32.5,3.6,0.06,67,Y,0.16,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,715.2631425,g 700+,g 700-760,0.9993191,3.6 +6,2,23657,6,2,7,4,40,3.6,0.22,62,Y,-1.17,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,23694,10,1,7,3,43,3.6,2.05,63,Y,1.95,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,881.052609,g 700+,i 820+,0.9993191,3.6 +9,9,23695,9,1,7,3,33,3.6,1.11,69,Y,1.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +6,5,23703,7,2,7,3,42,3.6,0.26,69,Y,-0.2,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,865.263136,g 700+,i 820+,0.9993191,3.6 +2,2,23715,3,2,7,2,29,3.6,-0.89,65,Y,-1.05,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,659.999987,f 640-700,f 640-700,0.9993191,3.6 +2,3,23720,2,2,7,1,35,3.6,-0.98,68,Y,-0.75,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,5,23724,2,2,7,5,47,3.6,-0.89,68,Y,-0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +2,1,23728,3,1,7,3,42,3.6,-0.77,70,Y,-1.39,P,2,P,95,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,865.263136,g 700+,i 820+,0.9993191,3.6 +2,2,23751,2,2,2,5,47,3.6,-0.93,69,Y,-1.07,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,944.210501,g 700+,i 820+,0.9993191,3.6 +6,9,23775,6,2,7,4,36,3.6,0.2,62,Y,0.9,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,10,23799,10,2,7,3,38,3.6,1.41,55,Y,1.94,P,2,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +,,23806,,1,7,3,35,3.6,,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,1,23890,2,2,7,1,35,3.6,-1.01,64,Y,-1.61,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +6,8,23914,6,1,7,1,39,3.6,0.16,63,Y,0.78,P,2,P,96,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,7,23928,6,1,7,3,40,3.6,-0.01,67,Y,0.44,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +6,6,23939,6,2,7,1,35,3.6,0.16,69,Y,0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +8,9,23976,8,2,7,5,39,3.6,0.75,68,Y,0.96,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,7,24011,7,1,7,3,34,3.6,0.32,69,Y,0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,4,24023,5,2,7,1,41,3.6,-0.17,66,Y,-0.31,P,,P,,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +4,4,24035,5,2,3,2,31,3.6,-0.26,67,Y,-0.38,P,7,P,94,1,2,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,691.578933,f 640-700,f 640-700,0.9993191,3.6 +7,9,24036,7,2,7,1,44,3.6,0.55,66,Y,1.19,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +2,1,24045,2,2,7,1,36.5,3.6,-0.85,70,Y,-1.38,P,2,P,94,1,3,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,778.4210345,g 700+,h 760-820,0.9993191,3.6 +8,8,24051,8,1,7,4,35,3.6,0.74,53,Y,0.76,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +3,3,24052,3,1,3,3,21.7,3.6,-0.69,64,Y,-0.75,P,7,P,94,1,2,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,544.7368341,d 520-580,d 520-580,0.9993191,3.6 +8,8,24055,8,2,2,4,43,3.6,0.6,65,Y,0.75,P,7,P,94,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +9,10,24061,9,2,7,1,39,3.6,1.26,69,Y,2.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +3,4,24068,3,1,7,4,44,3.6,-0.55,65,Y,-0.42,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +9,9,24070,9,1,7,3,40,3.6,1.19,68,Y,1.15,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +6,8,24086,6,2,7,1,45,3.6,0.24,67,Y,0.79,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,912.631555,g 700+,i 820+,0.9993191,3.6 +6,8,24100,7,1,7,3,37,3.6,0.26,48,Y,0.64,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,10,24110,9,1,7,3,40,3.6,0.89,48,Y,1.49,P,7,P,95,2,3,-41,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +9,8,24125,9,1,7,2,28,3.6,0.92,69,Y,0.76,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,644.210514,f 640-700,f 640-700,0.9993191,3.6 +8,7,24135,8,2,7,4,34,3.6,0.64,69,Y,0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,8,24194,5,2,7,4,41,3.6,-0.12,69,Y,0.69,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +9,10,24203,9,2,7,1,41,3.6,1.27,65,Y,1.33,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +7,9,24206,7,2,7,4,44,3.6,0.43,69,Y,1.02,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +7,6,24207,7,1,7,2,26,3.6,0.32,69,Y,0.03,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,612.631568,e 580-640,e 580-640,0.9993191,3.6 +5,6,24235,5,1,3,4,45,3.6,-0.08,69,Y,0.21,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +7,4,24332,7,2,7,4,42,3.6,0.41,70,Y,-0.35,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +9,8,24351,9,1,7,3,47,3.6,0.95,54,Y,0.79,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,944.210501,g 700+,i 820+,0.9993191,3.6 +9,9,24354,9,1,7,1,35,3.6,1.06,68,Y,0.99,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,24367,10,1,7,1,42,3.6,1.65,69,Y,1.91,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +6,6,24370,7,1,7,4,36,3.6,0.27,69,Y,0.14,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +10,10,24386,10,1,7,1,38,3.6,2.34,65,Y,2.08,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +6,5,24398,6,1,7,3,36,3.6,0.09,69,Y,-0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,6,24421,7,2,7,1,36,3.6,0.5,59,Y,0.23,P,7,P,95,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,7,24433,6,1,7,4,44,3.6,0.13,63,Y,0.31,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +7,7,24435,7,1,7,4,45,3.6,0.36,68,Y,0.51,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +3,2,24438,3,2,7,1,35,3.6,-0.73,69,Y,-1.02,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +10,10,24440,10,2,7,1,38,3.6,1.47,47,Y,1.69,P,7,P,94,1,2,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +1,1,24465,1,1,2,4,40,3.6,-1.37,69,Y,-1.63,F,2,F,96,1,3,-67,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,24477,10,2,7,4,41,3.6,1.67,60,Y,1.43,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +2,4,24479,3,1,7,1,32.5,3.6,-0.74,68,Y,-0.46,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,715.2631425,g 700+,g 700-760,0.9993191,3.6 +6,4,24546,6,2,7,1,34,3.6,0.22,66,Y,-0.44,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +9,10,24556,9,1,7,3,35,3.6,1.07,58,Y,1.72,P,7,P,95,2,4,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +3,5,24565,3,1,7,1,35,3.6,-0.57,66,Y,-0.11,P,2,P,95,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,6,24591,7,2,7,3,32,3.6,0.41,69,Y,0.17,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +5,4,24600,5,1,7,4,36,3.6,-0.06,67,Y,-0.45,P,2,P,95,2,4,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +,,24615,,1,7,3,40,3.6,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +1,4,24623,2,1,7,3,38,3.6,-1.11,69,Y,-0.42,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +1,1,24628,1,2,7,5,46,3.6,-1.27,67,Y,-1.59,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +7,5,24699,7,1,7,4,39,3.6,0.52,69,Y,0,P,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,6,24718,4,1,7,1,40,3.6,-0.33,68,Y,0.03,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +8,10,24726,8,1,7,4,40,3.6,0.81,65,Y,1.41,P,7,P,94,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +9,9,24727,9,1,7,2,38,3.6,1.11,60,Y,1.18,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,8,24731,8,1,7,4,31,3.6,0.62,67,Y,0.57,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,691.578933,f 640-700,f 640-700,0.9993191,3.6 +7,8,24754,8,1,7,6,28,3.6,0.61,57,Y,0.58,P,2,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,644.210514,f 640-700,f 640-700,0.9993191,3.6 +9,7,24764,9,2,7,1,39,3.6,0.92,65,Y,0.39,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,8,24766,9,1,2,4,36,3.6,1.08,68,Y,0.62,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,6,24793,6,2,7,4,44,3.6,0.21,67,Y,0.18,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +,,24802,,1,7,1,36,3.6,,69,Y,-0.08,P,2,P,96,2,2,-67,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +7,7,24806,7,1,7,5,45,3.6,0.49,67,Y,0.37,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +1,1,24812,1,1,3,1,29.5,3.6,-2.22,68,Y,-2.21,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,667.8947235,f 640-700,f 640-700,0.9993191,3.6 +2,1,24824,3,1,7,3,33,3.6,-0.81,53,Y,-1.42,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +10,10,24846,10,1,7,1,40,3.6,1.39,68,Y,1.59,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +5,2,24871,5,2,6,4,41,3.6,-0.12,69,Y,-0.94,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +10,10,24876,10,1,7,3,41,3.6,1.41,68,Y,1.71,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +8,9,24879,8,1,7,5,42,3.6,0.7,66,Y,0.91,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,865.263136,g 700+,i 820+,0.9993191,3.6 +9,8,24896,9,1,7,1,39,3.6,1.19,69,Y,0.85,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +10,10,24914,10,1,8,3,40,3.6,1.71,69,Y,2.66,P,7,P,94,1,5,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +9,8,24917,9,2,2,3,34,3.6,0.94,69,Y,0.84,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +4,6,24920,4,1,8,3,36.5,3.6,-0.31,68,Y,0.01,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,778.4210345,g 700+,h 760-820,0.9993191,3.6 +2,2,24925,2,1,7,4,36,3.6,-0.92,69,Y,-0.89,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +2,2,24941,3,2,7,1,35,3.6,-0.77,69,Y,-0.91,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,2,24962,2,1,7,5,43,3.6,-1,69,Y,-1.08,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +10,10,24974,10,2,7,1,42,3.6,1.82,69,Y,1.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +9,8,24985,9,1,7,1,42,3.6,0.94,65,Y,0.7,P,1,P,95,1,2,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +10,10,24995,10,2,7,1,35,3.6,1.73,66,Y,2,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +9,9,25001,9,2,7,1,30.5,3.6,1.02,69,Y,1,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +9,7,25027,9,2,7,4,37,3.6,1.06,64,Y,0.48,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,9,25030,10,1,7,1,39,3.6,1.41,66,Y,1.27,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +7,5,25033,7,2,7,3,31.5,3.6,0.5,65,Y,-0.04,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +9,9,25039,9,2,7,1,35,3.6,1.01,63,Y,1.16,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,6,25042,4,1,7,1,33,3.6,-0.24,67,Y,0.11,P,2,P,95,2,4,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +2,2,25043,2,,3,3,28,3.6,-1.1,56,Y,-1.13,F,7,P,95,1,2,-49,,0,,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,644.210514,f 640-700,f 640-700,0.9993191,3.6 +3,3,25114,3,1,7,5,37,3.6,-0.57,65,Y,-0.65,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,10,25159,10,2,7,4,34,3.6,1.92,65,Y,2.21,P,2,P,95,2,4,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,6,25161,5,1,7,1,38,3.6,-0.05,68,Y,0.1,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,10,25166,8,2,7,2,37,3.6,0.61,54,Y,1.37,P,7,P,95,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,786.315771,g 700+,h 760-820,0.9993191,3.6 +5,6,25172,5,1,2,4,30,3.6,-0.19,67,Y,0.04,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,675.78946,f 640-700,f 640-700,0.9993191,3.6 +5,8,25193,5,1,7,1,40,3.6,-0.09,47,Y,0.61,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +7,9,25205,7,2,7,1,44,3.6,0.48,70,Y,0.88,P,7,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,896.842082,g 700+,i 820+,0.9993191,3.6 +6,7,25231,6,1,7,5,38,3.6,0.26,67,Y,0.53,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,802.105244,g 700+,h 760-820,0.9993191,3.6 +5,7,25234,5,2,7,1,42,3.6,0.02,60,Y,0.52,F,7,P,95,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +4,6,25237,4,1,6,4,35,3.6,-0.32,69,Y,0.07,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,2,25288,2,1,6,4,34,3.6,-0.85,69,Y,-1.24,P,7,P,94,1,1,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,6,25289,7,2,7,1,39,3.6,0.38,68,Y,0.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,3,25297,5,1,7,4,41,3.6,-0.06,60,Y,-0.64,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +2,2,25328,3,2,7,2,28,3.6,-0.86,69,Y,-1.05,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,644.210514,f 640-700,f 640-700,0.9993191,3.6 +5,5,25386,5,2,7,1,40,3.6,-0.16,68,Y,-0.03,F,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +3,3,25394,3,1,7,4,39,3.6,-0.74,69,Y,-0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,8,25400,9,1,7,4,34,3.6,1.06,66,Y,0.7,P,7,P,95,2,2,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +,,25462,,2,7,5,48,3.6,,67,Y,0,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +9,9,25474,9,1,7,3,33,3.6,1.13,69,Y,1.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +9,7,25480,9,1,7,1,38,3.6,1.12,69,Y,0.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +2,1,25528,2,2,7,1,40,3.6,-0.93,69,Y,-1.35,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,25548,10,2,7,3,40,3.6,1.76,69,Y,2.05,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +5,3,25562,5,1,7,4,37,3.6,-0.07,68,Y,-0.7,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,4,25609,7,1,7,1,38,3.6,0.49,65,Y,-0.4,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +1,1,25612,2,1,7,3,36,3.6,-1.15,69,Y,-2.27,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +5,4,25626,5,2,6,3,27,3.6,-0.1,69,Y,-0.3,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.421041,e 580-640,e 580-640,0.9993191,3.6 +8,6,25644,8,1,7,4,41,3.6,0.59,69,Y,0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +2,1,25656,2,2,7,4,42,3.6,-0.92,69,Y,-1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +4,5,25657,5,1,7,3,31,3.6,-0.24,69,Y,-0.09,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +5,7,25666,5,1,7,4,42,3.6,-0.2,56,Y,0.42,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +6,7,25678,6,1,7,1,40,3.6,0.23,69,Y,0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,833.68419,g 700+,i 820+,0.9993191,3.6 +2,3,25685,3,2,7,3,33.5,3.6,-0.77,63,Y,-0.62,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,731.0526155,g 700+,g 700-760,0.9993191,3.6 +8,6,25690,8,2,7,4,38,3.6,0.57,68,Y,0.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,7,25695,8,1,7,4,43,3.6,0.66,69,Y,0.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +4,3,25726,5,2,7,3,32.5,3.6,-0.21,68,Y,-0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,715.2631425,g 700+,g 700-760,0.9993191,3.6 +8,9,25745,8,2,7,1,37,3.6,0.62,68,Y,1.09,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +4,4,25749,4,2,7,5,48,3.6,-0.31,66,Y,-0.27,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +8,7,25751,8,1,7,2,26,3.6,0.7,69,Y,0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,612.631568,e 580-640,e 580-640,0.9993191,3.6 +10,9,25772,10,2,7,3,37,3.6,1.36,69,Y,1.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,8,25779,9,2,7,4,43,3.6,1.15,66,Y,0.65,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +4,1,25781,4,1,7,4,43,3.6,-0.32,70,Y,-1.69,P,2,P,96,1,5,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +7,7,25787,7,2,7,1,33,3.6,0.49,70,Y,0.4,P,2,P,95,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +9,9,25793,9,2,7,3,36,3.6,1.18,68,Y,1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +6,7,25797,6,1,7,5,48,3.6,0.08,69,Y,0.37,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +3,6,25825,4,1,7,3,31,3.6,-0.48,69,Y,0.03,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +6,7,25831,6,2,7,3,38,3.6,0.15,68,Y,0.36,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,10,25843,9,2,7,3,37,3.6,1.24,69,Y,1.8,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,8,25873,7,2,7,3,35,3.6,0.36,58,Y,0.86,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +4,3,25899,5,2,2,3,30.5,3.6,-0.24,69,Y,-0.81,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +4,5,25906,4,1,7,1,37,3.6,-0.4,59,Y,-0.21,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,9,25912,10,2,7,1,41,3.6,1.36,68,Y,1.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +9,10,25934,9,1,7,4,31,3.6,0.91,64,Y,1.7,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,691.578933,f 640-700,f 640-700,0.9993191,3.6 +2,3,25950,3,1,7,3,36,3.6,-0.81,69,Y,-0.76,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +,,25959,10,1,7,5,48,3.6,1.52,68,Y,,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +9,9,25971,10,1,7,1,41,3.6,1.3,69,Y,1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +5,7,25982,5,2,7,1,42,3.6,-0.09,67,Y,0.37,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,865.263136,g 700+,i 820+,0.9993191,3.6 +2,3,26024,3,2,7,5,48,3.6,-0.84,69,Y,-0.68,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,959.999974,g 700+,i 820+,0.9993191,3.6 +9,5,26029,9,1,7,1,32,3.6,1.09,68,Y,-0.21,P,2,P,95,2,2,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +10,10,26037,10,1,7,3,45,3.6,1.78,64,Y,1.71,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,912.631555,g 700+,i 820+,0.9993191,3.6 +8,9,26039,8,1,7,2,35,3.6,0.67,68,Y,1.14,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,8,26058,7,2,7,3,32,3.6,0.33,68,Y,0.67,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +,,26092,,2,7,3,37,3.6,,69,X,,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.315771,g 700+,h 760-820,0.9993191,3.6 +1,1,26099,2,1,7,5,41,3.6,-1.21,69,Y,-1.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,849.473663,g 700+,i 820+,0.9993191,3.6 +2,3,26118,3,2,7,3,33.5,3.6,-0.73,68,Y,-0.78,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,731.0526155,g 700+,g 700-760,0.9993191,3.6 +5,8,26131,6,2,7,4,48,3.6,0.01,61,Y,0.72,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,959.999974,g 700+,i 820+,0.9993191,3.6 +7,5,26164,7,1,7,4,36,3.6,0.33,67,Y,-0.22,P,7,P,94,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +4,6,26167,5,2,7,4,42,3.6,-0.22,69,Y,0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +5,4,26175,5,1,7,5,39,3.6,-0.08,69,Y,-0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +6,4,26196,6,1,7,3,38,3.6,0.19,68,Y,-0.45,P,2,P,95,2,3,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +8,8,26219,8,1,7,4,40,3.6,0.64,67,Y,0.72,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +,,26237,6,1,7,5,43,3.6,0.26,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +10,7,26245,10,2,7,1,30,3.6,1.79,69,Y,0.48,P,7,P,94,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,675.78946,f 640-700,f 640-700,0.9993191,3.6 +,,26252,6,2,7,5,43,3.6,0.08,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,881.052609,g 700+,i 820+,0.9993191,3.6 +4,4,26254,4,1,7,3,41,3.6,-0.28,67,Y,-0.29,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +2,2,26273,2,2,7,1,35,3.6,-1.04,51,Y,-1.23,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,754.736825,g 700+,g 700-760,0.9993191,3.6 +,,26287,8,2,7,3,38,3.6,0.53,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.105244,g 700+,h 760-820,0.9993191,3.6 +7,5,26297,7,2,7,3,33,3.6,0.44,69,Y,-0.14,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +10,9,26314,10,2,7,1,39,3.6,1.31,69,Y,1.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,6,26336,5,1,7,3,39,3.6,-0.22,69,Y,-0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,817.894717,g 700+,h 760-820,0.9993191,3.6 +9,9,26356,9,1,7,4,45,3.6,0.87,69,Y,0.99,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +7,7,26374,7,2,7,3,32,3.6,0.5,69,Y,0.33,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.368406,g 700+,g 700-760,0.9993191,3.6 +9,9,26413,9,1,7,3,36,3.6,0.96,64,Y,1.13,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +5,6,26422,5,1,7,1,36,3.6,-0.03,69,Y,0.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +4,6,26465,5,1,7,1,31,3.6,-0.21,68,Y,0.27,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,691.578933,f 640-700,f 640-700,0.9993191,3.6 +1,2,26487,2,1,7,3,35,3.6,-1.22,54,Y,-0.95,P,7,P,95,2,4,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +7,7,26509,7,2,7,1,47,3.6,0.46,69,Y,0.42,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,944.210501,g 700+,i 820+,0.9993191,3.6 +5,6,26551,6,1,7,5,38,3.6,0.07,66,Y,0.08,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,802.105244,g 700+,h 760-820,0.9993191,3.6 +7,8,26555,7,2,7,1,37,3.6,0.43,60,Y,0.6,P,2,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +7,3,26572,7,2,2,5,45,3.6,0.49,68,Y,-0.64,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,912.631555,g 700+,i 820+,0.9993191,3.6 +1,2,26584,1,2,7,3,35,3.6,-1.79,68,Y,-1.12,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +,,26585,,2,7,1,41,3.6,,67,Y,,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +3,3,26599,3,1,7,1,36,3.6,-0.67,62,Y,-0.67,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,770.526298,g 700+,h 760-820,0.9993191,3.6 +3,5,26627,3,2,7,4,44,3.6,-0.74,67,Y,-0.05,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,896.842082,g 700+,i 820+,0.9993191,3.6 +6,8,26633,6,2,7,3,34,3.6,0.13,69,Y,0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,738.947352,g 700+,g 700-760,0.9993191,3.6 +8,8,26638,8,2,7,3,40,3.6,0.73,69,Y,0.83,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,26675,10,2,7,2,41,3.6,2.37,60,Y,2.48,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,849.473663,g 700+,i 820+,0.9993191,3.6 +6,5,26684,7,1,7,1,37,3.6,0.31,67,Y,-0.02,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +8,6,26719,8,1,3,3,31,3.6,0.76,69,Y,0.2,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,691.578933,f 640-700,f 640-700,0.9993191,3.6 +8,9,26753,8,1,7,4,43,3.6,0.69,64,Y,1.15,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +5,5,26757,5,2,7,1,34,3.6,-0.07,69,Y,-0.18,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,738.947352,g 700+,g 700-760,0.9993191,3.6 +3,5,26769,3,1,7,3,35,3.6,-0.62,54,Y,-0.11,P,2,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +2,4,26797,3,2,7,3,35,3.6,-0.73,53,Y,-0.39,P,2,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,754.736825,g 700+,g 700-760,0.9993191,3.6 +,,26810,,1,7,3,30,3.6,,56,Y,,F,7,F,95,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,675.78946,f 640-700,f 640-700,0.9993191,3.6 +7,6,26824,7,2,7,5,38.5,3.6,0.5,69,Y,0.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,809.9999805,g 700+,h 760-820,0.9993191,3.6 +6,6,26831,6,1,7,3,40,3.6,0.21,69,Y,0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +10,10,26838,10,1,7,4,34,3.6,1.52,70,Y,1.55,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +7,7,26846,8,2,7,3,40,3.6,0.55,68,Y,0.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +5,6,26886,5,1,7,1,39,3.6,0,68,Y,0.11,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,4,26891,4,1,7,4,41,3.6,-0.46,68,Y,-0.42,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,849.473663,g 700+,i 820+,0.9993191,3.6 +1,2,26893,2,2,7,4,42,3.6,-1.21,64,Y,-1.28,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,865.263136,g 700+,i 820+,0.9993191,3.6 +9,9,26940,10,1,7,3,47,3.6,1.27,63,Y,1.27,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,944.210501,g 700+,i 820+,0.9993191,3.6 +3,8,26951,3,1,7,3,32.5,3.6,-0.58,69,Y,0.8,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,715.2631425,g 700+,g 700-760,0.9993191,3.6 +10,10,27035,10,1,7,3,40,3.6,1.9,54,Y,2.12,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,833.68419,g 700+,i 820+,0.9993191,3.6 +7,7,27048,7,2,7,1,41,3.6,0.48,60,Y,0.47,P,7,P,95,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +2,1,27082,2,2,7,5,39,3.6,-1.1,61,Y,-1.33,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,817.894717,g 700+,h 760-820,0.9993191,3.6 +5,2,27083,5,2,7,4,38,3.6,-0.18,69,Y,-0.88,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,802.105244,g 700+,h 760-820,0.9993191,3.6 +10,10,27092,10,2,7,1,38,3.6,1.46,63,Y,1.86,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.105244,g 700+,h 760-820,0.9993191,3.6 +9,7,27115,9,1,7,1,41,3.6,0.93,62,Y,0.32,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +10,9,27148,10,2,7,4,43,3.6,1.92,67,Y,0.99,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,881.052609,g 700+,i 820+,0.9993191,3.6 +4,4,27153,4,2,7,3,36,3.6,-0.37,67,Y,-0.41,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,770.526298,g 700+,h 760-820,0.9993191,3.6 +8,8,27169,8,1,4,6,31.5,3.6,0.83,69,Y,0.76,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,699.4736695,f 640-700,f 640-700,0.9993191,3.6 +4,3,27171,4,1,2,4,28.5,3.6,-0.41,58,Y,-0.72,P,7,P,94,1,3,-51,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,652.1052505,f 640-700,f 640-700,0.9993191,3.6 +10,10,27188,10,2,7,3,33,3.6,2.39,68,Y,2.42,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.157879,g 700+,g 700-760,0.9993191,3.6 +9,9,27203,9,2,7,1,33,3.6,1.27,66,Y,1.2,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.157879,g 700+,g 700-760,0.9993191,3.6 +9,8,27211,9,2,7,5,46,3.6,1,68,Y,0.77,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,928.421028,g 700+,i 820+,0.9993191,3.6 +9,8,27218,9,2,7,1,39,3.6,0.99,68,Y,0.74,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,817.894717,g 700+,h 760-820,0.9993191,3.6 +4,5,27233,4,2,7,5,44,3.6,-0.46,69,Y,-0.16,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,896.842082,g 700+,i 820+,0.9993191,3.6 +9,9,27234,9,1,7,4,34,3.6,0.9,69,Y,0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +8,9,27245,8,2,7,1,37,3.6,0.8,68,Y,1.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +10,9,27300,10,2,7,4,40,3.6,1.76,69,Y,1.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,833.68419,g 700+,i 820+,0.9993191,3.6 +7,8,27309,7,1,7,4,30.5,3.6,0.3,67,Y,0.64,P,2,P,95,2,4,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.6841965,f 640-700,f 640-700,0.9993191,3.6 +4,4,27314,5,1,7,5,31,3.6,-0.19,67,Y,-0.38,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,691.578933,f 640-700,f 640-700,0.9993191,3.6 +9,9,27318,9,2,7,4,34,3.6,0.98,63,Y,0.94,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,738.947352,g 700+,g 700-760,0.9993191,3.6 +,,27336,,2,7,5,34,3.6,,65,Y,,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,738.947352,g 700+,g 700-760,0.9993191,3.6 +5,8,27340,6,2,7,3,41,3.6,0.03,68,Y,0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.473663,g 700+,i 820+,0.9993191,3.6 +7,6,27350,7,2,7,1,32,3.6,0.48,67,Y,0.13,F,2,F,96,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,707.368406,g 700+,g 700-760,0.9993191,3.6 +3,5,27351,3,1,7,4,32,3.6,-0.61,70,Y,-0.06,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,707.368406,g 700+,g 700-760,0.9993191,3.6 +10,10,27367,10,1,7,3,27.5,3.6,2.1,67,Y,1.96,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,636.3157775,e 580-640,e 580-640,0.9993191,3.6 +4,5,27370,4,1,7,1,41,3.6,-0.37,53,Y,-0.08,P,7,P,94,1,2,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,849.473663,g 700+,i 820+,0.9993191,3.6 +,,27402,,2,7,4,36,3.6,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,770.526298,g 700+,h 760-820,0.9993191,3.6 +,,27435,,2,7,1,37,3.6,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,786.315771,g 700+,h 760-820,0.9993191,3.6 +9,8,27453,9,1,7,4,45,3.6,1.04,70,Y,0.72,P,7,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,912.631555,g 700+,i 820+,0.9993191,3.6 +2,1,27454,3,1,3,1,26,3.6,-0.79,68,Y,-1.93,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,612.631568,e 580-640,e 580-640,0.9993191,3.6 +8,9,17,8,1,7,1,35,2.9,0.73,62,Y,0.94,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,2,33,3,1,7,3,36,2.9,-0.53,68,Y,-1.05,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,9,93,9,2,7,3,36,2.9,0.91,49,Y,1.2,P,7,P,94,1,4,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,5,98,6,2,7,3,42,2.9,0.1,64,Y,-0.18,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +9,8,105,10,1,7,1,34,2.9,1.31,68,Y,0.64,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +8,10,114,8,2,7,4,35,2.9,0.8,56,Y,1.53,P,2,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,5,115,4,1,3,6,34,2.9,-0.36,70,Y,-0.08,P,7,P,94,1,2,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,2,135,2,2,7,3,41,2.9,-1.13,68,Y,-0.94,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,8,205,7,2,7,3,37,2.9,0.39,66,Y,0.73,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,255,6,2,7,3,42,2.9,0.17,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,2,259,2,2,7,3,46,2.9,-0.86,65,Y,-1.09,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,858.421028,g 700+,i 820+,0.9677567,2.9 +5,3,287,5,2,7,3,36,2.9,-0.12,69,Y,-0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,1,297,2,2,7,5,30,2.9,-0.86,67,Y,-1.43,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,605.78946,e 580-640,e 580-640,0.9677567,2.9 +9,9,315,9,1,7,4,41,2.9,1.06,68,Y,0.96,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +3,3,327,4,2,7,3,33,2.9,-0.47,67,Y,-0.65,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +6,5,333,6,2,7,1,37,2.9,0.2,66,Y,-0.14,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,8,338,9,1,7,3,37,2.9,0.92,63,Y,0.62,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +10,9,358,10,2,7,1,39.5,2.9,1.39,69,Y,1.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,755.7894535,g 700+,g 700-760,0.9677567,2.9 +3,1,370,3,2,2,1,38,2.9,-0.58,67,Y,-1.87,F,6,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,5,411,8,2,7,3,41,2.9,0.56,69,Y,-0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,8,412,7,1,7,3,40,2.9,0.51,67,Y,0.62,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,3,438,4,2,7,1,40,2.9,-0.41,69,Y,-0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,1,441,1,2,3,6,22.5,2.9,-1.28,59,Y,-1.44,P,2,P,95,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,487.3684125,c 460-520,c 460-520,0.9677567,2.9 +1,4,489,1,1,7,3,38,2.9,-1.51,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +6,5,518,6,2,7,6,37,2.9,0.17,54,Y,-0.29,P,7,P,95,1,5,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,716.315771,g 700+,g 700-760,0.9677567,2.9 +10,10,540,10,2,7,4,39,2.9,2.01,68,Y,1.87,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,2,549,1,1,2,1,37,2.9,-1.45,69,Y,-1.11,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,2,555,3,1,4,4,32,2.9,-0.68,69,Y,-0.88,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,637.368406,e 580-640,e 580-640,0.9677567,2.9 +10,5,605,10,1,7,5,44,2.9,1.61,65,Y,-0.15,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,826.842082,g 700+,i 820+,0.9677567,2.9 +6,2,636,6,1,7,1,35,2.9,0.23,66,Y,-1.08,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +1,1,709,1,1,7,3,36,2.9,-1.52,68,Y,-1.73,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,6,712,8,2,7,3,42,2.9,0.68,69,Y,0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +,,716,,2,7,4,38,2.9,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +,,719,,2,7,3,39,2.9,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,2,728,5,2,4,1,37,2.9,-0.18,68,Y,-1.22,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +8,7,729,8,2,7,1,37,2.9,0.82,66,Y,0.51,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +10,9,784,10,1,7,1,41,2.9,1.81,66,Y,1.24,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +3,3,786,3,2,7,2,32,2.9,-0.73,56,Y,-0.68,P,7,P,95,1,1,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,2,840,5,2,7,2,30,2.9,-0.2,67,Y,-1.03,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +4,4,858,4,2,7,4,37,2.9,-0.4,68,Y,-0.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +5,5,865,5,1,7,5,38,2.9,0.03,64,Y,-0.05,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,6,892,6,2,7,3,33,2.9,0.01,67,Y,0.16,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +9,10,898,9,2,7,1,33,2.9,1.21,69,Y,1.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,2,949,3,2,7,3,35,2.9,-0.53,64,Y,-1.11,P,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,5,951,5,2,7,3,38,2.9,-0.19,64,Y,-0.07,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +4,5,1011,5,2,7,3,35,2.9,-0.24,67,Y,-0.11,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +8,7,1047,8,2,7,3,43,2.9,0.59,69,Y,0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,811.052609,g 700+,h 760-820,0.9677567,2.9 +1,2,1049,2,1,7,3,35,2.9,-1.27,61,Y,-1.22,F,7,F,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,3,1058,5,1,6,2,35,2.9,-0.16,69,Y,-0.74,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,2,1062,2,1,7,3,28,2.9,-1.09,51,Y,-0.96,F,7,P,95,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,574.210514,d 520-580,d 520-580,0.9677567,2.9 +3,2,1068,4,2,7,3,36,2.9,-0.44,68,Y,-1.05,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,5,1070,7,2,7,3,39,2.9,0.49,69,Y,-0.03,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +9,10,1075,9,1,7,2,33,2.9,1.21,68,Y,2.3,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +2,2,1093,2,2,3,5,39,2.9,-0.98,69,Y,-0.96,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,747.894717,g 700+,g 700-760,0.9677567,2.9 +6,6,1103,6,1,7,3,37.5,2.9,0.18,66,Y,0.06,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.2105075,g 700+,g 700-760,0.9677567,2.9 +8,10,1137,8,1,7,4,46,2.9,0.65,68,Y,1.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,858.421028,g 700+,i 820+,0.9677567,2.9 +7,7,1146,7,1,7,3,29,2.9,0.32,40,Y,0.4,P,7,P,94,1,3,-33,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +8,8,1160,8,2,7,3,42,2.9,0.77,64,Y,0.69,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +5,6,1169,6,1,7,3,33.5,2.9,0,69,Y,0.11,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +7,8,1173,7,2,7,3,36,2.9,0.46,68,Y,0.59,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,1246,1,2,3,5,35,2.9,-2.12,68,Y,-2.44,F,6,F,94,1,5,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,6,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,6,1252,7,2,7,1,43,2.9,0.47,60,Y,0.06,P,2,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +4,6,1275,4,1,7,2,32,2.9,-0.41,66,Y,-0.03,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,2,1282,3,2,7,3,33,2.9,-0.79,63,Y,-1.29,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +4,5,1283,4,2,7,4,42,2.9,-0.36,69,Y,0.01,P,7,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +6,5,1284,7,2,2,3,27,2.9,0.29,69,Y,-0.22,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,558.421041,d 520-580,d 520-580,0.9677567,2.9 +10,5,1290,10,2,2,4,42,2.9,1.31,66,Y,-0.17,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +8,7,1297,9,2,8,3,35,2.9,0.85,64,Y,0.39,P,7,P,95,2,3,-57,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +10,10,1304,10,2,7,3,39,2.9,1.67,66,Y,1.77,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,6,1309,5,1,7,3,39,2.9,-0.02,66,Y,-0.02,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +8,6,1322,8,2,7,4,47,2.9,0.71,67,Y,0.02,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,874.210501,g 700+,i 820+,0.9677567,2.9 +1,1,1323,2,2,7,1,30,2.9,-1.24,67,Y,-1.53,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +10,10,1332,10,2,7,3,35,2.9,2.18,68,Y,2.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,2,1333,3,1,7,3,37,2.9,-0.53,68,Y,-1.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,9,1340,9,2,7,3,38,2.9,0.99,69,Y,0.98,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,4,1346,4,1,7,3,37,2.9,-0.51,53,Y,-0.41,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,5,1349,4,2,7,3,33,2.9,-0.39,64,Y,-0.26,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +6,8,1354,6,2,7,1,42,2.9,0.26,68,Y,0.85,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +,,1402,,2,7,2,29,2.9,,62,Y,,P,7,P,95,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,589.999987,e 580-640,e 580-640,0.9677567,2.9 +10,10,1413,10,2,7,3,34,2.9,1.61,64,Y,1.73,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,1425,1,2,3,3,27,2.9,-1.94,70,Y,-2.22,F,2,F,96,1,5,-68,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,558.421041,d 520-580,d 520-580,0.9677567,2.9 +2,1,1470,3,1,3,6,21,2.9,-0.84,69,Y,-1.51,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,463.684203,c 460-520,c 460-520,0.9677567,2.9 +,,1482,6,1,7,3,42,2.9,0.1,45,X,,P,7,P,95,1,3,-38,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +6,6,1487,6,1,7,3,38,2.9,0.19,68,Y,0.25,P,7,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +10,10,1541,10,2,7,3,40,2.9,1.71,63,Y,1.7,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +9,7,1554,9,2,7,3,36,2.9,0.89,68,Y,0.41,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,3,1555,4,2,7,2,34,2.9,-0.36,67,Y,-0.64,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,1561,2,1,3,3,28,2.9,-1.25,67,Y,-1.65,F,7,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,574.210514,d 520-580,d 520-580,0.9677567,2.9 +9,7,1570,9,2,7,1,36.5,2.9,1.02,64,Y,0.52,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.4210345,g 700+,g 700-760,0.9677567,2.9 +3,2,1640,3,2,7,2,33,2.9,-0.54,67,Y,-0.98,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,3,1650,5,1,3,4,33,2.9,-0.02,63,Y,-0.58,P,7,P,94,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,6,1672,5,1,7,3,37,2.9,-0.14,68,Y,0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,3,1696,4,2,7,3,37,2.9,-0.31,65,Y,-0.74,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,2,1747,1,2,2,5,41,2.9,-1.26,67,Y,-1.07,F,7,P,95,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,779.473663,g 700+,h 760-820,0.9677567,2.9 +8,8,1748,8,1,7,3,32,2.9,0.71,67,Y,0.67,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,2,1755,2,2,7,3,36,2.9,-1.04,67,Y,-1.22,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,1830,2,1,7,2,30.5,2.9,-1.1,65,Y,-2.25,P,2,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,613.6841965,e 580-640,e 580-640,0.9677567,2.9 +9,7,1841,9,2,7,4,37,2.9,1.02,49,Y,0.43,P,7,P,95,2,3,-42,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,5,1846,4,2,7,3,30,2.9,-0.34,67,Y,-0.22,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +1,1,1857,1,1,2,1,31,2.9,-2.79,69,Y,-2.54,F,7,F,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,621.578933,e 580-640,e 580-640,0.9677567,2.9 +2,1,1878,3,2,3,6,18,2.9,-0.7,69,Y,-1.4,F,2,F,95,1,3,-67,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,416.315784,b 400-460,b 400-460,0.9677567,2.9 +5,6,1883,5,1,2,3,42,2.9,-0.15,66,Y,0.22,P,2,P,95,1,2,-64,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +8,9,1896,9,1,7,1,39,2.9,0.89,66,Y,1.24,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,7,1904,7,1,7,2,28.5,2.9,0.41,59,Y,0.35,P,7,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,582.1052505,e 580-640,e 580-640,0.9677567,2.9 +6,5,1910,6,2,7,3,37,2.9,0.15,69,Y,-0.2,F,6,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,2,1922,3,1,7,3,37,2.9,-0.7,67,Y,-1.26,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +8,2,1930,8,1,7,3,35,2.9,0.73,65,Y,-1.07,P,2,P,96,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,3,1940,3,2,7,3,35,2.9,-0.8,67,Y,-0.82,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,7,1993,9,2,6,3,40,2.9,1.14,66,Y,0.49,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +7,5,2030,7,2,7,2,34,2.9,0.39,65,Y,-0.17,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +3,4,2049,3,2,7,3,32,2.9,-0.63,67,Y,-0.45,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +1,1,2052,1,1,3,3,28,2.9,-1.4,69,Y,-1.73,F,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,574.210514,d 520-580,d 520-580,0.9677567,2.9 +9,9,2067,9,2,7,3,34,2.9,1.25,68,Y,1.25,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,2,2079,1,2,7,3,36,2.9,-1.35,65,Y,-1.17,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,4,2088,4,2,2,3,32,2.9,-0.51,68,Y,-0.37,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,1,2103,3,2,7,3,37,2.9,-0.75,68,Y,-1.64,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,2109,,1,7,3,46,2.9,,65,Y,,P,2,P,95,2,3,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,858.421028,g 700+,i 820+,0.9677567,2.9 +6,4,2139,6,2,7,4,42,2.9,0.15,65,Y,-0.46,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +9,9,2207,9,2,7,2,33,2.9,0.86,68,Y,1.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +,,2234,,2,7,5,40,2.9,,54,X,,P,7,P,95,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,7,2253,6,1,7,3,37,2.9,0.24,63,Y,0.49,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,2273,,2,7,6,34,2.9,,62,Y,,P,2,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,668.947352,f 640-700,f 640-700,0.9677567,2.9 +10,9,2285,10,2,7,3,36,2.9,1.41,67,Y,0.92,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,2301,1,2,7,3,32,2.9,-1.49,69,Y,-1.69,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +9,7,2313,9,2,7,2,31.5,2.9,1.06,65,Y,0.22,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +4,4,2321,4,2,7,1,40,2.9,-0.28,68,Y,-0.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,5,2331,6,1,3,6,14,2.9,0.04,67,Y,-0.24,P,7,P,94,1,1,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,353.157892,a under 400,a under 400,0.9677567,2.9 +5,5,2369,5,1,4,1,30,2.9,-0.14,65,Y,-0.11,P,7,P,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +2,5,2378,2,2,7,3,39,2.9,-0.91,69,Y,-0.21,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,2384,2,1,7,3,21,2.9,-1.26,59,Y,-1.39,P,2,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,463.684203,c 460-520,c 460-520,0.9677567,2.9 +,,2391,,2,7,,25,2.9,-0.49,64,Y,-0.82,P,2,P,95,2,5,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,526.842095,d 520-580,d 520-580,0.9677567,2.9 +9,5,2396,9,2,7,4,36,2.9,1.15,70,Y,-0.18,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,7,2415,7,1,7,1,48,2.9,0.4,69,Y,0.52,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,889.999974,g 700+,i 820+,0.9677567,2.9 +3,2,2418,3,2,2,4,28.5,2.9,-0.63,64,Y,-1.09,F,7,P,96,1,4,-57,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,582.1052505,e 580-640,e 580-640,0.9677567,2.9 +,,2444,,1,3,5,23.5,2.9,,69,Y,,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,503.1578855,c 460-520,c 460-520,0.9677567,2.9 +10,9,2459,10,2,7,3,39,2.9,1.67,68,Y,1.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +8,6,2466,8,2,7,3,28.5,2.9,0.61,65,Y,0.16,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,582.1052505,e 580-640,e 580-640,0.9677567,2.9 +3,6,2472,4,2,7,3,42,2.9,-0.5,66,Y,-0.02,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +1,1,2486,1,2,3,4,27,2.9,-1.28,64,Y,-1.88,P,7,P,94,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,558.421041,d 520-580,d 520-580,0.9677567,2.9 +1,1,2498,1,1,3,5,40,2.9,-2.44,69,Y,-2.91,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,4,2507,4,1,7,3,30,2.9,-0.43,55,Y,-0.41,F,7,P,95,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +,,2537,,1,7,6,36,2.9,,46,Y,,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,2592,1,1,7,1,25,2.9,-1.82,38,Y,-1.72,F,2,F,95,1,4,-36,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,526.842095,d 520-580,d 520-580,0.9677567,2.9 +5,3,2594,5,1,7,1,36.5,2.9,-0.15,68,Y,-0.73,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.4210345,g 700+,g 700-760,0.9677567,2.9 +1,1,2599,1,2,3,3,32,2.9,-1.58,56,Y,-1.66,P,2,P,95,2,3,-54,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +9,8,2619,9,2,6,1,40,2.9,1.03,69,Y,0.78,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,3,2622,1,2,7,3,46,2.9,-1.36,61,Y,-0.81,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,858.421028,g 700+,i 820+,0.9677567,2.9 +7,7,2638,7,2,7,1,35,2.9,0.4,69,Y,0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,9,2680,9,2,7,2,38,2.9,1.1,61,Y,1.23,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,4,2688,4,2,7,2,34,2.9,-0.46,66,Y,-0.33,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +7,8,2692,7,1,7,3,38,2.9,0.32,64,Y,0.56,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,6,2721,5,2,7,5,36.5,2.9,0.04,68,Y,0.18,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,708.4210345,g 700+,g 700-760,0.9677567,2.9 +2,2,2732,2,1,3,5,39,2.9,-1.2,68,Y,-1.05,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,2738,2,2,7,1,32,2.9,-0.82,68,Y,-1.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +6,5,2764,6,2,7,3,34,2.9,0.14,68,Y,-0.28,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +6,5,2809,6,2,7,4,35,2.9,0.17,63,Y,-0.03,P,2,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,5,2860,6,2,7,3,38,2.9,0.23,68,Y,-0.25,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +8,7,2904,8,2,7,1,34,2.9,0.7,67,Y,0.32,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +9,10,2950,10,2,7,1,29.3,2.9,1.3,68,Y,1.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,594.7368289,e 580-640,e 580-640,0.9677567,2.9 +3,3,3003,3,2,7,3,30.7,2.9,-0.58,68,Y,-0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,616.8420911,e 580-640,e 580-640,0.9677567,2.9 +4,5,3046,4,2,7,3,35,2.9,-0.3,68,Y,-0.04,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,10,3048,9,2,7,4,48,2.9,1.26,65,Y,1.34,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,889.999974,g 700+,i 820+,0.9677567,2.9 +10,10,3056,10,2,3,6,39,2.9,2.6,65,Y,2,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,747.894717,g 700+,g 700-760,0.9677567,2.9 +3,5,3067,3,1,7,4,32.5,2.9,-0.55,61,Y,-0.22,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +6,6,3080,6,1,7,5,40,2.9,0.09,67,Y,0.05,P,2,P,95,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,3,3147,3,1,6,2,34,2.9,-0.73,64,Y,-0.77,P,7,P,94,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +10,9,3172,10,2,7,2,36,2.9,1.59,67,Y,1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,3,3183,4,1,7,3,35,2.9,-0.39,67,Y,-0.61,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,6,3186,5,1,7,3,34,2.9,-0.05,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +9,9,3191,9,2,7,3,46,2.9,1.22,66,Y,1.04,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,858.421028,g 700+,i 820+,0.9677567,2.9 +8,6,3214,8,2,7,3,39,2.9,0.58,67,Y,0.15,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +6,6,3218,6,2,7,1,36,2.9,0.09,69,Y,0.21,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,3233,1,2,6,1,35,2.9,-1.56,68,Y,-1.77,P,2,P,95,1,1,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,3,3241,2,2,2,1,30,2.9,-0.88,61,Y,-0.87,P,,P,,1,2,,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +8,5,3277,8,2,7,2,38,2.9,0.76,53,Y,-0.11,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,732.105244,g 700+,g 700-760,0.9677567,2.9 +10,8,3299,10,2,7,3,41,2.9,1.64,65,Y,0.68,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,9,3310,7,2,7,2,38,2.9,0.38,68,Y,0.89,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,8,3318,7,1,7,6,42,2.9,0.48,61,Y,0.52,P,2,P,96,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,795.263136,g 700+,h 760-820,0.9677567,2.9 +6,4,3336,6,2,7,3,34.5,2.9,0.08,67,Y,-0.41,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +8,4,3345,8,2,7,1,39,2.9,0.86,64,Y,-0.3,P,2,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,4,3348,3,2,7,3,36,2.9,-0.74,69,Y,-0.49,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,2,3353,4,2,7,3,36,2.9,-0.42,66,Y,-0.9,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,5,3373,5,2,7,3,41,2.9,-0.2,68,Y,-0.09,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +8,6,3388,8,1,7,2,31,2.9,0.7,67,Y,0.05,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +9,8,3393,9,2,3,1,42,2.9,0.96,68,Y,0.84,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +7,7,3409,7,1,7,1,43,2.9,0.54,69,Y,0.34,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +7,8,3423,8,2,7,4,38,2.9,0.56,69,Y,0.69,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,8,3426,5,2,7,4,42,2.9,-0.14,67,Y,0.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +,,3427,,2,7,,24.5,2.9,0.2,67,Y,-0.62,P,2,P,95,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,518.9473585,c 460-520,c 460-520,0.9677567,2.9 +10,10,3437,10,1,7,3,37,2.9,1.51,59,Y,1.35,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,2,3458,2,2,7,3,30,2.9,-1.04,67,Y,-1.09,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +10,9,3507,10,2,7,2,34,2.9,1.61,68,Y,1.31,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +3,2,3522,3,2,7,3,28.5,2.9,-0.66,67,Y,-1.06,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,582.1052505,e 580-640,e 580-640,0.9677567,2.9 +1,1,3524,2,1,7,3,36,2.9,-1.28,65,Y,-1.31,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,4,3527,7,1,7,3,37,2.9,0.3,69,Y,-0.39,P,2,P,95,2,3,-67,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,6,3528,7,2,7,4,41,2.9,0.45,63,Y,0.2,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +5,4,3537,5,1,7,2,30,2.9,-0.06,67,Y,-0.5,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +7,4,3541,7,2,7,1,36,2.9,0.4,67,Y,-0.46,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,3553,1,2,2,4,24,2.9,-1.51,56,Y,-1.91,F,7,F,94,1,5,-49,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,511.052622,c 460-520,c 460-520,0.9677567,2.9 +10,10,3555,10,2,7,3,35,2.9,1.36,48,Y,1.77,P,7,P,95,2,2,-41,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,7,3581,7,1,3,6,33,2.9,0.44,69,Y,0.46,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,653.157879,f 640-700,f 640-700,0.9677567,2.9 +8,7,3596,8,2,7,3,35,2.9,0.71,68,Y,0.41,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,1,3615,3,2,7,3,34,2.9,-0.61,66,Y,-1.37,F,7,F,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,3,3647,2,2,8,3,31,2.9,-0.97,66,Y,-0.7,P,7,P,94,1,3,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +7,9,3732,8,2,7,3,34.5,2.9,0.53,69,Y,0.95,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +8,8,3750,8,1,7,1,35,2.9,0.86,66,Y,0.58,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +8,5,3766,8,2,4,3,29,2.9,0.68,67,Y,-0.22,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +7,9,3821,7,2,7,3,33,2.9,0.33,69,Y,1.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +4,4,3906,4,2,7,2,36,2.9,-0.43,68,Y,-0.52,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +10,6,3964,10,2,7,5,41,2.9,2.07,68,Y,0.19,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,779.473663,g 700+,h 760-820,0.9677567,2.9 +,,3975,5,2,7,3,42,2.9,-0.2,57,Y,,P,7,P,94,1,5,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +9,8,3977,9,2,7,2,36,2.9,0.98,50,Y,0.69,P,2,P,95,2,1,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +10,9,3988,10,1,7,3,46,2.9,1.74,66,Y,1.26,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,858.421028,g 700+,i 820+,0.9677567,2.9 +6,3,3996,6,1,7,2,48,2.9,0.15,66,Y,-0.64,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,889.999974,g 700+,i 820+,0.9677567,2.9 +1,1,4016,1,1,1,1,29,2.9,-1.36,62,Y,-1.66,F,7,F,94,1,2,-55,female,0,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,589.999987,e 580-640,e 580-640,0.9677567,2.9 +8,8,4020,8,2,7,1,38,2.9,0.8,67,Y,0.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,4,4070,4,1,3,1,24.7,2.9,-0.45,63,Y,-0.32,F,7,P,96,2,3,-56,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,522.1052531,d 520-580,d 520-580,0.9677567,2.9 +1,1,4120,1,2,7,1,42,2.9,-2.02,69,Y,-2.23,F,2,F,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +10,10,4144,10,2,7,4,38,2.9,2.37,64,Y,2.24,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,8,4169,9,2,7,3,29,2.9,1.16,66,Y,0.71,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +2,1,4181,2,1,7,1,36,2.9,-0.95,54,Y,-1.42,F,7,F,94,1,5,-47,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,3,4224,4,2,7,1,38,2.9,-0.25,64,Y,-0.57,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,6,4226,7,2,7,3,39,2.9,0.46,68,Y,-0.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,2,4230,1,1,6,3,24,2.9,-1.38,66,Y,-1.27,F,7,P,96,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,511.052622,c 460-520,c 460-520,0.9677567,2.9 +2,1,4250,2,1,3,6,31,2.9,-0.9,56,Y,-1.53,F,7,F,94,1,2,-49,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,621.578933,e 580-640,e 580-640,0.9677567,2.9 +10,10,4253,10,2,7,1,41,2.9,1.54,59,Y,1.54,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +5,4,4281,6,1,7,3,39,2.9,0.02,59,Y,-0.45,F,2,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +,,4303,,1,3,1,31,2.9,,64,Y,,P,2,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,621.578933,e 580-640,e 580-640,0.9677567,2.9 +4,2,4323,4,2,7,5,40,2.9,-0.32,67,Y,-1.26,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,2,4338,4,2,7,2,36,2.9,-0.4,68,Y,-1.01,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,8,4339,7,2,7,3,42,2.9,0.5,67,Y,0.73,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +4,2,4340,4,1,8,4,29,2.9,-0.35,68,Y,-0.94,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,589.999987,e 580-640,e 580-640,0.9677567,2.9 +3,1,4349,3,2,2,3,29,2.9,-0.56,67,Y,-1.55,P,1,P,95,1,5,-66,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +3,3,4369,3,2,7,4,42,2.9,-0.56,69,Y,-0.82,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +3,2,4373,3,1,7,3,28,2.9,-0.66,69,Y,-1.12,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,574.210514,d 520-580,d 520-580,0.9677567,2.9 +2,4,4384,2,2,7,1,38,2.9,-0.92,69,Y,-0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,5,4413,5,2,7,5,39,2.9,-0.14,68,Y,-0.16,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,747.894717,g 700+,g 700-760,0.9677567,2.9 +8,7,4425,8,2,7,3,41,2.9,0.75,67,Y,0.46,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,7,4449,6,1,7,3,38,2.9,0.17,69,Y,0.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,5,4452,7,1,2,1,44,2.9,0.57,68,Y,-0.2,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +4,2,4454,4,1,7,3,24,2.9,-0.31,69,Y,-1.04,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,511.052622,c 460-520,c 460-520,0.9677567,2.9 +1,1,4490,1,2,7,3,31,2.9,-1.37,67,Y,-1.84,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +8,6,4524,8,2,7,4,37,2.9,0.83,68,Y,0.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,1,4528,1,1,7,5,36,2.9,-1.59,46,Y,-1.55,P,7,P,94,1,5,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,3,4542,2,1,7,1,39.5,2.9,-1.22,68,Y,-0.81,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,755.7894535,g 700+,g 700-760,0.9677567,2.9 +7,5,4552,7,2,7,3,32.5,2.9,0.43,67,Y,-0.12,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +4,4,4553,4,2,7,3,36,2.9,-0.28,45,Y,-0.48,P,7,P,95,2,2,-38,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,7,4559,9,2,7,2,33,2.9,0.97,69,Y,0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +6,7,4612,6,2,7,4,42,2.9,0.23,65,Y,0.31,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +4,3,4649,4,2,7,3,41,2.9,-0.37,50,Y,-0.59,P,7,P,95,2,4,-43,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +8,8,4681,8,1,7,4,42,2.9,0.6,67,Y,0.69,P,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +1,2,4685,1,1,7,3,33.5,2.9,-1.43,65,Y,-0.91,F,2,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +3,4,4697,3,2,7,5,39,2.9,-0.81,56,Y,-0.5,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,747.894717,g 700+,g 700-760,0.9677567,2.9 +3,3,4713,3,2,6,4,40.5,2.9,-0.68,66,Y,-0.6,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,771.5789265,g 700+,h 760-820,0.9677567,2.9 +2,7,4714,2,2,7,3,34,2.9,-0.97,65,Y,0.35,P,2,P,96,2,3,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +10,9,4715,10,2,7,3,32,2.9,1.82,,Y,1.07,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +7,6,4718,7,2,7,4,36,2.9,0.43,66,Y,0.15,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,4,4722,3,2,7,4,37,2.9,-0.81,69,Y,-0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,3,4750,2,1,7,3,40,2.9,-1.22,69,Y,-0.88,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,3,4762,5,2,7,3,34,2.9,-0.03,53,Y,-0.7,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,2,4784,1,2,7,3,26,2.9,-2.09,69,Y,-1.07,F,7,F,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,542.631568,d 520-580,d 520-580,0.9677567,2.9 +1,1,4837,2,1,4,1,31,2.9,-1.17,55,Y,-1.76,P,7,P,94,1,2,-48,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,621.578933,e 580-640,e 580-640,0.9677567,2.9 +7,8,4838,7,2,7,3,42,2.9,0.42,66,Y,0.76,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,4,4860,2,1,7,4,35,2.9,-0.95,69,Y,-0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,5,4868,7,1,7,3,34,2.9,0.42,69,Y,-0.21,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,4880,2,1,7,3,35,2.9,-1.24,47,Y,-1.32,P,7,P,94,1,4,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +8,8,4901,9,2,6,3,30,2.9,0.86,64,Y,0.73,P,2,P,95,2,2,-62,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +3,2,4936,3,2,7,2,33,2.9,-0.57,65,Y,-0.98,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,4,4938,4,1,7,3,37,2.9,-0.46,69,Y,-0.41,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,2,4950,2,1,3,3,35,2.9,-0.84,54,Y,-1.14,P,7,P,94,1,3,-47,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,6,4977,4,2,7,3,37,2.9,-0.38,63,Y,0.25,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,6,4987,7,2,7,1,39,2.9,0.54,68,Y,0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,4988,2,1,7,3,39,2.9,-0.92,69,Y,-0.93,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,6,5025,7,2,7,3,33.5,2.9,0.46,66,Y,0.22,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +,,5052,,2,,3,43,2.9,-0.46,67,Y,,P,7,P,94,1,3,-60,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,811.052609,g 700+,h 760-820,0.9677567,2.9 +8,7,5054,8,2,7,3,36,2.9,0.63,68,Y,0.34,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,8,5078,8,2,7,3,35,2.9,0.55,57,Y,0.78,P,7,P,94,1,2,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +1,2,5101,2,2,7,2,31,2.9,-1.12,64,Y,-0.97,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +1,1,5123,1,1,7,3,35,2.9,-1.36,61,Y,-1.57,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,5,5127,7,2,7,3,36,2.9,0.28,69,Y,-0.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,5,5167,8,2,7,3,45,2.9,0.59,64,Y,-0.18,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,842.631555,g 700+,i 820+,0.9677567,2.9 +8,9,5169,8,1,7,3,30,2.9,0.61,48,Y,1.03,P,2,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +2,2,5181,3,2,7,3,34,2.9,-0.73,69,Y,-1.01,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +,,5195,,1,6,5,32,2.9,,60,Y,,P,7,P,94,1,4,-53,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,637.368406,e 580-640,e 580-640,0.9677567,2.9 +4,2,5205,4,1,7,1,42,2.9,-0.26,69,Y,-1.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +9,4,5236,9,2,7,1,34,2.9,1.01,65,Y,-0.35,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +10,10,5255,10,2,7,3,48,2.9,2.22,65,Y,2.27,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,889.999974,g 700+,i 820+,0.9677567,2.9 +2,1,5278,3,2,7,2,31,2.9,-0.84,67,Y,-1.38,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +,,5282,,1,7,4,42,2.9,,69,Y,-1.25,F,7,P,96,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +8,7,5289,8,2,7,1,40,2.9,0.76,54,Y,0.37,P,7,P,95,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,2,5315,2,1,6,3,30,2.9,-0.99,66,Y,-1.07,F,7,P,95,1,5,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +5,6,5338,6,1,7,3,47,2.9,0.04,67,Y,0.18,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,874.210501,g 700+,i 820+,0.9677567,2.9 +8,7,5364,9,1,7,3,32.5,2.9,0.85,49,Y,0.41,P,7,P,95,2,5,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +5,7,5375,5,2,7,3,36,2.9,-0.03,63,Y,0.42,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,5411,1,1,3,6,28,2.9,-1.34,46,Y,-1.5,P,7,P,94,1,1,-39,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,574.210514,d 520-580,d 520-580,0.9677567,2.9 +2,3,5415,2,1,7,3,35,2.9,-0.86,61,Y,-0.69,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,2,5450,3,2,7,2,34,2.9,-0.83,62,Y,-1.12,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +6,8,5494,6,1,7,3,36,2.9,0.08,44,Y,0.85,P,7,P,94,1,2,-37,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,1,5496,2,1,7,3,33.5,2.9,-1.04,68,Y,-1.48,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +,,5548,,2,2,1,30.5,2.9,,68,Y,,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,613.6841965,e 580-640,e 580-640,0.9677567,2.9 +3,2,5573,3,1,7,1,34,2.9,-0.7,67,Y,-1,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +8,7,5574,8,2,7,3,39,2.9,0.64,69,Y,0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,3,5579,5,1,3,6,26,2.9,-0.14,64,Y,-0.74,P,7,P,94,1,2,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,542.631568,d 520-580,d 520-580,0.9677567,2.9 +6,5,5583,6,2,7,1,40,2.9,0.18,65,Y,-0.16,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +7,8,5591,7,2,7,3,34,2.9,0.38,65,Y,0.76,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +9,8,5593,9,1,7,3,32,2.9,1.1,69,Y,0.57,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,2,5650,3,2,7,1,32,2.9,-0.75,62,Y,-1.06,F,7,F,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +9,9,5670,9,1,7,3,35,2.9,1.25,68,Y,0.98,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,1,5708,6,1,7,2,36,2.9,0.13,68,Y,-1.44,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,6,5709,5,1,7,1,42,2.9,0.03,58,Y,0.08,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +4,7,5722,4,2,7,4,34.5,2.9,-0.31,68,Y,0.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +9,9,5774,9,2,7,4,40,2.9,1.07,68,Y,0.9,P,7,P,95,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +7,9,5795,7,1,7,3,35,2.9,0.39,69,Y,1.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,9,5838,9,2,7,3,35,2.9,0.98,69,Y,0.92,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +1,1,5883,1,1,3,4,26.5,2.9,-1.81,70,Y,-1.89,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,550.5263045,d 520-580,d 520-580,0.9677567,2.9 +2,2,5890,2,1,7,6,38,2.9,-0.91,41,Y,-0.95,F,7,F,94,1,3,-34,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,2,5900,4,2,6,3,35,2.9,-0.46,55,Y,-1.25,P,7,P,93,1,3,-48,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,1,5986,2,2,4,1,35,2.9,-0.86,64,Y,-1.53,F,7,P,95,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,6,5998,7,2,7,3,40,2.9,0.43,69,Y,0.17,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,2,6044,3,2,3,6,27,2.9,-0.58,60,Y,-1.11,F,2,P,95,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,558.421041,d 520-580,d 520-580,0.9677567,2.9 +2,1,6052,2,2,7,3,36,2.9,-0.92,66,Y,-1.52,F,7,F,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,3,6058,4,1,4,3,29,2.9,-0.45,65,Y,-0.67,P,7,P,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +7,3,6063,7,1,7,1,46,2.9,0.39,56,Y,-0.76,F,7,P,95,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,858.421028,g 700+,i 820+,0.9677567,2.9 +1,2,6090,1,2,4,1,22,2.9,-1.31,64,Y,-1.21,F,6,P,95,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,479.473676,c 460-520,c 460-520,0.9677567,2.9 +9,9,6108,10,1,7,3,35,2.9,1.26,63,Y,1.3,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,9,6124,7,2,8,3,42,2.9,0.46,69,Y,0.87,P,7,P,94,1,5,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +9,8,6140,9,2,7,1,39,2.9,0.93,64,Y,0.87,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,8,6182,7,2,7,2,32.5,2.9,0.43,69,Y,0.59,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +10,10,6203,10,2,7,3,41,2.9,1.48,70,Y,1.49,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +,,6204,,1,7,,41,2.9,2.02,62,Y,1.75,P,7,P,94,2,5,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,779.473663,g 700+,h 760-820,0.9677567,2.9 +9,9,6231,9,2,7,3,35,2.9,0.92,68,Y,0.89,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,5,6256,3,1,7,3,35,2.9,-0.52,69,Y,-0.26,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,2,6266,3,2,7,4,39,2.9,-0.76,69,Y,-1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +3,3,6267,3,2,7,3,37,2.9,-0.66,68,Y,-0.64,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +5,8,6277,5,2,7,4,36,2.9,-0.19,64,Y,0.8,P,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +,,6325,,2,7,5,42,2.9,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,795.263136,g 700+,h 760-820,0.9677567,2.9 +1,1,6330,1,2,7,4,37,2.9,-1.95,67,Y,-1.44,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,10,6333,7,2,7,2,34,2.9,0.29,69,Y,1.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,6346,1,2,2,1,37,2.9,-1.45,68,Y,-1.55,F,7,F,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,5,6354,7,1,2,2,27,2.9,0.28,60,Y,-0.06,P,2,P,95,1,3,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,558.421041,d 520-580,d 520-580,0.9677567,2.9 +9,9,6357,9,2,7,1,39,2.9,1.19,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,6362,1,2,7,3,36,2.9,-1.47,58,Y,-1.87,P,7,P,94,1,1,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,4,6368,7,2,7,3,41,2.9,0.25,69,Y,-0.34,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +2,1,6397,2,2,7,3,35,2.9,-1.01,69,Y,-2.09,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,4,6409,7,2,7,3,34.5,2.9,0.26,68,Y,-0.46,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +8,9,6419,8,2,7,1,47,2.9,0.79,67,Y,0.95,P,7,P,94,,4,-60,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,874.210501,g 700+,i 820+,0.9677567,2.9 +9,7,6437,9,2,5,4,40,2.9,1.26,56,Y,0.4,P,2,P,96,2,3,-54,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,5,6449,5,2,7,3,40,2.9,-0.08,57,Y,-0.13,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,6,6450,6,2,7,5,39,2.9,0.29,68,Y,0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,1,6453,2,1,7,1,37,2.9,-1.13,68,Y,-1.47,F,7,P,95,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,6,6469,6,1,7,3,36,2.9,0.1,62,Y,0.04,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,3,6480,3,1,7,3,36,2.9,-0.67,65,Y,-0.7,P,7,P,94,1,1,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,10,6483,9,2,7,3,41,2.9,1.22,63,Y,1.55,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +2,2,6486,2,1,3,5,42,2.9,-1.07,66,Y,-1.11,P,7,P,94,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,795.263136,g 700+,h 760-820,0.9677567,2.9 +8,10,6508,8,2,7,1,39,2.9,0.63,62,Y,1.38,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,4,6528,4,1,7,3,34,2.9,-0.38,68,Y,-0.49,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +5,5,6545,6,2,2,3,31,2.9,0,60,Y,-0.26,P,2,P,95,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +2,3,6564,3,2,7,2,29.5,2.9,-0.75,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +5,5,6584,5,1,7,1,30,2.9,-0.11,64,Y,-0.2,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +6,6,6602,6,1,7,1,40,2.9,0.21,68,Y,0.28,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +9,8,6618,9,2,7,3,35,2.9,0.92,66,Y,0.56,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,8,6623,6,1,7,3,39,2.9,0.17,70,Y,0.57,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,6,6635,7,1,7,4,33.5,2.9,0.38,57,Y,0.19,P,7,P,95,2,3,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +,,6658,,2,7,,27.5,2.9,-0.34,65,Y,-1.22,P,7,P,94,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,566.3157775,d 520-580,d 520-580,0.9677567,2.9 +9,7,6731,9,2,7,3,39,2.9,0.98,67,Y,0.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,2,6733,1,2,3,1,31,2.9,-1.47,69,Y,-1.09,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,621.578933,e 580-640,e 580-640,0.9677567,2.9 +1,2,6748,1,1,2,3,31.5,2.9,-1.56,69,Y,-1.28,F,7,F,94,1,1,-62,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +4,4,6752,4,1,6,3,30,2.9,-0.38,65,Y,-0.34,P,7,P,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +3,4,6758,3,2,7,3,42,2.9,-0.58,69,Y,-0.51,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +3,1,6762,3,1,7,2,40,2.9,-0.64,68,Y,-1.43,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,3,6800,5,2,7,2,26.5,2.9,-0.23,68,Y,-0.75,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,550.5263045,d 520-580,d 520-580,0.9677567,2.9 +7,9,6850,7,2,7,1,40,2.9,0.45,61,Y,0.92,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,2,6856,4,2,7,3,35,2.9,-0.4,69,Y,-1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,3,6863,5,1,7,1,38,2.9,-0.1,69,Y,-0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,7,6906,7,1,7,1,37,2.9,0.49,66,Y,0.39,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,6,6910,6,1,7,1,43,2.9,0.2,67,Y,0.06,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +8,2,6923,8,1,2,3,36.5,2.9,0.64,68,Y,-0.98,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,708.4210345,g 700+,g 700-760,0.9677567,2.9 +4,6,6927,4,1,7,3,30.5,2.9,-0.37,69,Y,0.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,613.6841965,e 580-640,e 580-640,0.9677567,2.9 +8,9,7000,8,1,7,2,31,2.9,0.67,64,Y,0.98,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +2,1,7008,2,2,4,3,21,2.9,-1.07,63,Y,-1.39,P,7,P,95,2,1,-56,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,463.684203,c 460-520,c 460-520,0.9677567,2.9 +1,1,7023,2,1,3,1,29,2.9,-1.24,67,Y,-1.84,F,7,F,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,589.999987,e 580-640,e 580-640,0.9677567,2.9 +5,5,7058,5,1,7,3,35,2.9,-0.02,67,Y,-0.2,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,7,7094,6,2,7,2,30,2.9,0.04,69,Y,0.34,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +6,8,7108,7,2,7,6,27,2.9,0.32,69,Y,0.83,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,558.421041,d 520-580,d 520-580,0.9677567,2.9 +4,2,7128,4,2,7,1,39,2.9,-0.37,66,Y,-0.99,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,8,7137,8,2,7,3,40,2.9,0.54,68,Y,0.76,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +7,4,7140,7,2,7,3,41,2.9,0.35,57,Y,-0.47,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +9,9,7154,9,2,7,3,38,2.9,1.08,69,Y,0.97,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,8,7187,9,2,7,2,31.5,2.9,0.89,68,Y,0.81,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +3,7,7188,4,1,7,3,33,2.9,-0.44,44,Y,0.39,P,7,P,95,1,5,-37,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +4,6,7189,5,2,7,6,28,2.9,-0.15,65,Y,-0.03,F,7,F,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,574.210514,d 520-580,d 520-580,0.9677567,2.9 +6,4,7223,6,2,6,3,36,2.9,0.08,68,Y,-0.3,F,7,F,95,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,5,7237,4,1,7,1,26.5,2.9,-0.33,69,Y,-0.05,F,7,F,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,550.5263045,d 520-580,d 520-580,0.9677567,2.9 +9,5,7249,9,2,7,3,37,2.9,0.94,68,Y,-0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,2,7255,3,2,7,3,34,2.9,-0.59,67,Y,-1.13,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +,,7271,,1,7,1,41,2.9,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +2,1,7313,2,2,7,3,32,2.9,-0.88,64,Y,-1.66,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,1,7324,2,2,6,2,32.5,2.9,-1.04,69,Y,-1.84,F,7,P,96,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +1,1,7349,1,2,2,3,34,2.9,-1.77,69,Y,-2.14,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,5,7367,2,1,2,1,37,2.9,-0.9,69,Y,-0.2,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,1,7384,3,2,7,3,35,2.9,-0.52,67,Y,-1.5,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +,,7436,,1,7,1,36,2.9,,57,Y,,P,7,P,94,1,2,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,2,7438,2,2,7,3,35,2.9,-1.1,68,Y,-1.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,6,7457,6,2,7,4,42,2.9,0.24,66,Y,0.03,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +4,6,7458,5,1,7,2,36,2.9,-0.3,67,Y,0.13,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,9,7480,9,2,7,3,34,2.9,1.08,68,Y,1.1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +8,6,7497,8,2,7,3,39,2.9,0.58,70,Y,0.06,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,2,7563,1,1,7,3,37,2.9,-1.53,69,Y,-1.23,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,7,7575,7,1,7,3,41,2.9,0.3,69,Y,0.33,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,5,7577,6,1,7,4,40,2.9,0.08,69,Y,-0.02,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,4,7618,1,1,6,1,28,2.9,-2.09,67,Y,-0.51,F,7,P,96,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,574.210514,d 520-580,d 520-580,0.9677567,2.9 +4,6,7624,5,2,7,3,35,2.9,-0.24,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,1,7643,2,2,7,3,35,2.9,-0.86,66,Y,-1.59,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,1,7646,2,1,7,3,35,2.9,-0.92,69,Y,-1.39,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,3,7686,6,1,7,3,37,2.9,0,56,Y,-0.77,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,6,7721,7,2,7,2,31,2.9,0.3,68,Y,0.17,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +2,1,7727,3,2,7,3,37,2.9,-0.72,67,Y,-1.35,F,1,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,4,7736,4,2,7,3,31.5,2.9,-0.25,65,Y,-0.29,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +5,5,7790,6,2,5,3,29,2.9,0.03,64,Y,-0.25,F,7,P,95,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +1,1,7799,1,2,5,4,40,2.9,-1.37,65,Y,-1.91,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,2,7836,6,2,7,3,37,2.9,0.07,67,Y,-1.08,F,7,P,96,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +5,5,7867,5,2,7,5,35,2.9,-0.14,68,Y,-0.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,5,7869,6,2,7,3,31.3,2.9,0.03,67,Y,-0.11,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,626.3157749,e 580-640,e 580-640,0.9677567,2.9 +1,2,7873,2,1,1,1,32,2.9,-1.22,69,Y,-1.09,F,7,P,95,1,3,-62,female,0,0,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +8,7,7874,8,2,6,3,35,2.9,0.61,68,Y,0.48,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,5,7890,9,2,7,3,35,2.9,1.01,56,Y,-0.09,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,1,7892,4,2,2,3,34,2.9,-0.51,64,Y,-1.41,P,7,P,93,1,4,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,7913,2,2,7,3,23.7,2.9,-1.17,61,Y,-1.8,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,506.3157801,c 460-520,c 460-520,0.9677567,2.9 +5,7,7985,5,2,7,4,39,2.9,-0.16,65,Y,0.47,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,7992,1,2,7,1,39,2.9,-1.53,68,Y,-1.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,9,8032,10,2,7,3,36,2.9,1.42,67,Y,1.18,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,8,8043,5,2,7,4,36.5,2.9,-0.02,67,Y,0.58,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,708.4210345,g 700+,g 700-760,0.9677567,2.9 +6,6,8044,6,1,8,2,35,2.9,0.14,54,Y,0.14,P,7,P,94,1,2,-47,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +10,9,8047,10,2,7,3,40,2.9,1.96,69,Y,1.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +8,9,8048,8,2,7,4,39,2.9,0.67,69,Y,0.88,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,8049,2,2,7,1,42,2.9,-0.92,68,Y,-0.93,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +7,6,8059,7,2,7,3,36,2.9,0.32,69,Y,-0.02,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,4,8061,3,1,7,4,34,2.9,-0.73,50,Y,-0.5,F,7,F,94,1,4,-43,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,668.947352,f 640-700,f 640-700,0.9677567,2.9 +,,8071,,2,7,6,41,2.9,,66,Y,,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,779.473663,g 700+,h 760-820,0.9677567,2.9 +8,5,8104,8,1,3,6,22,2.9,0.67,66,Y,-0.08,F,7,F,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,479.473676,c 460-520,c 460-520,0.9677567,2.9 +4,3,8116,5,2,7,3,33,2.9,-0.2,68,Y,-0.67,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,4,8145,5,2,7,2,30,2.9,-0.16,67,Y,-0.39,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +5,4,8163,5,1,3,1,27.5,2.9,-0.1,68,Y,-0.36,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,566.3157775,d 520-580,d 520-580,0.9677567,2.9 +3,2,8178,3,2,7,3,38,2.9,-0.7,67,Y,-0.9,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +,,8186,,2,7,6,31.5,2.9,,67,Y,,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +8,9,8220,8,2,7,1,39,2.9,0.7,68,Y,1.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +9,9,8250,9,1,7,4,40,2.9,1.12,70,Y,1.13,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,7,8261,7,1,7,4,38,2.9,0.26,68,Y,0.39,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +4,2,8293,4,2,7,3,27.5,2.9,-0.33,,Y,-1.18,P,7,P,94,2,5,,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,566.3157775,d 520-580,d 520-580,0.9677567,2.9 +1,1,8294,1,1,7,3,36,2.9,-1.94,68,Y,-2.75,F,2,F,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,3,8305,2,2,7,1,46,2.9,-0.97,68,Y,-0.69,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,858.421028,g 700+,i 820+,0.9677567,2.9 +3,4,8348,3,2,7,3,31,2.9,-0.64,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +3,7,8450,3,2,7,3,36,2.9,-0.59,62,Y,0.26,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,10,8484,9,2,7,1,40,2.9,1.18,60,Y,1.41,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,5,8544,5,1,7,1,40,2.9,-0.18,59,Y,-0.2,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +10,10,8586,10,2,7,2,32,2.9,1.3,68,Y,1.91,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +8,7,8587,8,1,7,3,41,2.9,0.61,45,Y,0.51,P,2,P,94,1,4,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +10,9,8598,10,1,7,3,35,2.9,1.7,66,Y,1.03,P,2,P,95,2,3,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,6,8616,5,2,7,3,34,2.9,-0.17,68,Y,0.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,4,8618,2,1,7,4,45,2.9,-1.01,68,Y,-0.31,P,7,P,95,2,5,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,842.631555,g 700+,i 820+,0.9677567,2.9 +3,2,8656,3,1,3,3,30,2.9,-0.56,68,Y,-1.29,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +1,2,8681,1,1,7,2,35,2.9,-1.62,48,Y,-1.23,P,7,P,95,2,4,-41,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +,,8699,,2,7,5,38,2.9,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,732.105244,g 700+,g 700-760,0.9677567,2.9 +,,8716,1,1,4,3,22.5,2.9,-2.06,67,X,,F,2,F,96,1,4,-65,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,487.3684125,c 460-520,c 460-520,0.9677567,2.9 +5,2,8718,5,2,7,3,34.5,2.9,-0.17,66,Y,-1.2,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +9,10,8786,9,2,7,1,48,2.9,1.13,61,Y,1.95,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,889.999974,g 700+,i 820+,0.9677567,2.9 +10,10,8808,10,2,7,3,39,2.9,2.06,63,Y,1.77,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,8818,2,1,7,5,34,2.9,-1.06,71,Y,-1.04,F,7,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,8825,1,2,7,4,37,2.9,-1.64,64,Y,-2.09,F,7,F,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,9,8829,9,2,7,3,37.5,2.9,0.96,69,Y,1.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.2105075,g 700+,g 700-760,0.9677567,2.9 +,,8830,,2,1,1,26,2.9,,68,Y,,F,2,F,95,1,4,-66,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,542.631568,d 520-580,d 520-580,0.9677567,2.9 +4,3,8896,5,2,7,1,42,2.9,-0.23,66,Y,-0.83,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +3,4,8939,3,1,7,4,41,2.9,-0.64,53,Y,-0.46,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,6,8946,7,2,7,3,39,2.9,0.26,69,Y,0.03,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,8966,1,2,7,3,35,2.9,-1.74,66,Y,-1.61,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +1,3,8970,1,1,7,3,35.5,2.9,-1.37,64,Y,-0.71,P,2,P,95,2,3,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.6315615,f 640-700,f 640-700,0.9677567,2.9 +,,8996,,1,4,4,31,2.9,,66,Y,,F,7,P,95,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,621.578933,e 580-640,e 580-640,0.9677567,2.9 +9,9,8999,9,2,7,3,39,2.9,1.21,65,Y,1.08,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +,,9019,1,2,6,5,39,2.9,-1.43,65,Y,,F,7,F,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,6,747.894717,g 700+,g 700-760,0.9677567,2.9 +8,9,9033,9,1,7,3,35,2.9,0.87,62,Y,0.88,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,3,9065,3,1,3,3,23,2.9,-0.81,67,Y,-0.71,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,495.263149,c 460-520,c 460-520,0.9677567,2.9 +1,1,9072,1,2,7,3,33.5,2.9,-1.98,69,Y,-1.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +4,2,9080,4,1,7,3,33,2.9,-0.39,69,Y,-1.04,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +10,10,9088,10,1,7,3,48,2.9,1.79,66,Y,1.9,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,889.999974,g 700+,i 820+,0.9677567,2.9 +10,9,9090,10,2,7,3,37,2.9,1.35,61,Y,1.24,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,2,9104,3,2,7,3,39,2.9,-0.74,67,Y,-1.22,F,7,F,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +,,9112,,2,7,6,33,2.9,,69,Y,,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,653.157879,f 640-700,f 640-700,0.9677567,2.9 +9,9,9116,10,2,7,3,34,2.9,1.27,67,Y,1.19,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +3,1,9117,3,2,7,3,38.5,2.9,-0.67,68,Y,-1.36,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,739.9999805,g 700+,g 700-760,0.9677567,2.9 +3,4,9138,3,2,7,4,37,2.9,-0.55,67,Y,-0.36,F,7,F,95,2,,-60,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,5,9140,6,1,7,2,42,2.9,0.07,69,Y,-0.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,795.263136,g 700+,h 760-820,0.9677567,2.9 +,,9152,,1,7,6,26,2.9,,45,Y,,F,7,F,94,1,3,-38,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,542.631568,d 520-580,d 520-580,0.9677567,2.9 +2,1,9171,2,1,7,3,20,2.9,-0.95,52,Y,-1.37,P,7,P,94,1,1,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,447.89473,b 400-460,b 400-460,0.9677567,2.9 +5,6,9176,5,1,2,3,41,2.9,-0.07,68,Y,0.12,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +5,3,9233,6,2,2,1,35,2.9,0.08,68,Y,-0.59,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +,,9234,,2,7,3,41,2.9,,47,Y,,P,2,P,95,2,1,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +,,9240,7,1,3,3,35,2.9,0.27,69,X,,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,2,9248,4,1,3,6,23,2.9,-0.56,69,Y,-1.28,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,495.263149,c 460-520,c 460-520,0.9677567,2.9 +6,8,9255,6,1,7,2,36,2.9,0.17,64,Y,0.55,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,5,9268,8,2,7,3,38,2.9,0.68,67,Y,-0.23,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +1,1,9287,1,1,7,1,36,2.9,-1.39,53,Y,-1.78,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,7,9300,7,2,7,3,40,2.9,0.3,68,Y,0.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +8,4,9307,8,2,3,6,21.5,2.9,0.72,69,Y,-0.43,F,7,P,95,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,471.5789395,c 460-520,c 460-520,0.9677567,2.9 +7,8,9328,7,2,7,3,38,2.9,0.39,67,Y,0.66,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +4,5,9332,4,2,2,5,38,2.9,-0.31,67,Y,-0.08,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,732.105244,g 700+,g 700-760,0.9677567,2.9 +2,3,9350,3,2,7,3,36,2.9,-0.8,69,Y,-0.57,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,3,9357,4,1,7,3,34.5,2.9,-0.5,53,Y,-0.85,F,7,F,94,1,2,-46,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +6,7,9360,6,2,7,2,37,2.9,0.15,66,Y,0.26,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +10,9,9396,10,2,7,4,36,2.9,1.98,67,Y,0.91,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,3,9412,6,2,7,3,35,2.9,0.22,68,Y,-0.57,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,10,9436,9,1,7,3,45,2.9,0.92,70,Y,1.37,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,842.631555,g 700+,i 820+,0.9677567,2.9 +1,1,9448,1,1,7,1,32,2.9,-1.28,69,Y,-1.59,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +4,5,9497,4,1,7,5,40,2.9,-0.25,67,Y,-0.18,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +,,9502,,2,7,5,47,2.9,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,874.210501,g 700+,i 820+,0.9677567,2.9 +,,9530,6,2,7,4,33,2.9,0.19,69,Y,,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,653.157879,f 640-700,f 640-700,0.9677567,2.9 +1,1,9576,1,2,3,4,40,2.9,-1.44,69,Y,-1.82,F,7,P,95,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,6,9591,6,2,7,3,37,2.9,0.03,62,Y,0.19,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,5,9599,6,2,7,3,36,2.9,0.08,69,Y,-0.18,P,7,P,94,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,9,9612,9,2,7,1,39,2.9,0.99,55,Y,0.93,P,7,P,95,2,2,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,5,9659,5,2,7,3,40,2.9,-0.13,68,Y,-0.04,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,3,9721,3,2,7,3,41,2.9,-0.59,68,Y,-0.74,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,7,9722,7,2,2,1,46,2.9,0.51,64,Y,0.51,P,7,P,94,1,2,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,858.421028,g 700+,i 820+,0.9677567,2.9 +5,6,9732,6,2,7,4,37,2.9,0.02,66,Y,0.18,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,3,9751,4,1,7,2,33,2.9,-0.39,68,Y,-0.64,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +1,1,9756,1,1,7,3,36,2.9,-1.38,58,Y,-1.41,F,7,P,95,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,6,9816,6,2,7,2,29.5,2.9,0.07,68,Y,0.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +6,7,9833,6,2,7,3,38,2.9,0.24,66,Y,0.37,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +4,3,9878,4,2,7,3,35,2.9,-0.41,67,Y,-0.75,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,1,9896,2,2,7,4,37,2.9,-0.86,64,Y,-1.72,P,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,9966,9,2,7,3,33,2.9,1.09,59,X,,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +4,5,9989,4,2,7,3,35,2.9,-0.25,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,3,10008,2,2,7,1,37,2.9,-0.84,68,Y,-0.54,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,9,10027,9,2,7,3,40,2.9,0.96,57,Y,0.95,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +9,9,10035,9,1,7,3,40,2.9,0.89,70,Y,0.92,F,7,P,95,1,,-63,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,4,10059,4,2,7,3,36,2.9,-0.35,67,Y,-0.46,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,10084,1,2,6,1,27,2.9,-1.84,60,Y,-1.67,P,2,P,95,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,558.421041,d 520-580,d 520-580,0.9677567,2.9 +3,2,10103,4,2,7,1,32,2.9,-0.47,69,Y,-1.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +10,10,10123,10,2,7,3,39,2.9,2.7,64,Y,2.38,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,7,10149,4,2,7,3,41,2.9,-0.28,67,Y,0.32,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +1,2,10158,1,2,7,1,41,2.9,-1.28,69,Y,-1.32,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,5,10161,7,1,7,3,38,2.9,0.4,69,Y,-0.13,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,9,10190,9,2,7,3,37,2.9,0.93,69,Y,0.91,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,3,10199,3,2,2,4,29.5,2.9,-0.74,68,Y,-0.7,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +7,3,10208,7,2,7,4,35,2.9,0.35,60,Y,-0.65,P,7,P,95,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +1,2,10249,2,2,7,1,38,2.9,-1.14,67,Y,-0.96,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,9,10257,9,2,7,3,40,2.9,0.9,66,Y,1.1,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,3,10271,2,1,7,2,28.5,2.9,-1.13,68,Y,-0.87,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,582.1052505,e 580-640,e 580-640,0.9677567,2.9 +4,2,10284,4,1,7,3,33,2.9,-0.4,56,Y,-1.12,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,3,10338,3,2,7,1,38,2.9,-0.6,68,Y,-0.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,6,10370,5,1,7,3,34,2.9,-0.14,57,Y,0.25,P,7,P,95,2,3,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,3,10387,2,2,7,2,35,2.9,-0.96,64,Y,-0.68,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,7,10403,7,2,7,4,48,2.9,0.4,66,Y,0.48,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,889.999974,g 700+,i 820+,0.9677567,2.9 +8,7,10416,8,2,7,1,28,2.9,0.86,60,Y,0.33,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,574.210514,d 520-580,d 520-580,0.9677567,2.9 +2,2,10418,2,2,7,3,36,2.9,-0.89,63,Y,-0.91,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,7,10442,6,1,7,3,32,2.9,0.11,68,Y,0.44,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +7,8,10456,7,2,2,3,34,2.9,0.33,69,Y,0.6,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,2,10457,2,1,4,3,34,2.9,-1.01,69,Y,-0.91,F,2,P,94,1,4,-67,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,10464,1,2,7,3,38,2.9,-1.78,69,Y,-2.02,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +2,2,10499,2,1,6,2,33,2.9,-1.04,69,Y,-1,F,7,P,96,1,5,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +6,6,10517,6,2,7,1,35,2.9,0.25,58,Y,0.02,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +8,5,10518,8,2,7,3,41,2.9,0.73,69,Y,-0.09,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,8,10526,8,2,7,3,34.5,2.9,0.52,68,Y,0.55,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +4,6,10534,5,1,7,1,42,2.9,-0.16,63,Y,0.11,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,1,10537,2,2,8,4,29,2.9,-0.98,67,Y,-1.86,P,2,P,94,1,1,-65,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,589.999987,e 580-640,e 580-640,0.9677567,2.9 +8,8,10547,8,1,3,3,29,2.9,0.69,68,Y,0.76,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +7,7,10581,8,2,7,3,37,2.9,0.56,64,Y,0.33,P,2,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +10,9,10668,10,2,7,2,37,2.9,1.65,68,Y,1.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,10682,,2,1,1,23.3,2.9,,63,Y,,F,2,F,96,1,2,-61,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,499.9999909,c 460-520,c 460-520,0.9677567,2.9 +1,1,10687,1,1,7,3,39,2.9,-1.75,69,Y,-2.01,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,7,10693,5,1,7,5,36.5,2.9,0.02,49,Y,0.31,P,2,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,708.4210345,g 700+,g 700-760,0.9677567,2.9 +4,5,10715,4,1,7,1,38,2.9,-0.4,49,Y,-0.02,P,7,P,94,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +4,4,10722,4,2,7,3,34,2.9,-0.37,53,Y,-0.32,P,7,P,94,1,2,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +5,6,10729,5,2,7,3,37,2.9,-0.04,66,Y,0.07,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,10732,,2,7,5,42,2.9,,49,Y,,P,7,P,94,1,2,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,795.263136,g 700+,h 760-820,0.9677567,2.9 +7,7,10733,7,2,7,2,30,2.9,0.32,67,Y,0.24,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +6,5,10757,6,2,7,3,41,2.9,0.1,61,Y,-0.12,P,2,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +10,10,10844,10,2,7,2,46,2.9,1.26,67,Y,1.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,858.421028,g 700+,i 820+,0.9677567,2.9 +6,5,10859,6,2,7,3,35,2.9,0.11,69,Y,-0.16,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,2,10860,2,2,7,4,38,2.9,-1.05,69,Y,-1.24,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +10,10,10863,10,2,7,2,38,2.9,1.31,67,Y,1.43,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,3,10907,6,1,7,1,39,2.9,0.04,69,Y,-0.76,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,10,10930,10,2,7,3,36,2.9,1.41,69,Y,1.96,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,6,10940,9,1,7,1,41,2.9,1.09,66,Y,0.07,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +8,7,10951,8,2,7,3,40,2.9,0.64,66,Y,0.36,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,1,10956,1,2,3,4,34,2.9,-1.44,67,Y,-1.67,F,2,P,95,1,4,-65,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,10976,2,2,7,4,33.5,2.9,-1.19,69,Y,-1.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +8,6,10982,8,1,7,3,39,2.9,0.66,58,Y,0.11,P,7,P,95,2,4,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +8,4,11020,8,1,7,3,39,2.9,0.8,56,Y,-0.31,P,7,P,94,1,5,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,1,11025,4,1,7,3,34,2.9,-0.42,66,Y,-1.38,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +10,9,11026,10,1,7,3,40,2.9,1.61,66,Y,1.17,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +9,9,11037,9,2,7,1,37,2.9,1.19,69,Y,0.9,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,11054,8,2,4,6,27,2.9,0.61,58,Y,,P,2,P,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,558.421041,d 520-580,d 520-580,0.9677567,2.9 +5,3,11079,6,2,7,1,38,2.9,0.07,69,Y,-0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +4,3,11122,4,2,3,1,32,2.9,-0.3,50,Y,-0.67,P,2,P,95,2,3,-48,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +1,1,11140,2,2,7,2,35,2.9,-1.13,64,Y,-1.45,F,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,5,11157,4,2,7,1,42,2.9,-0.27,69,Y,-0.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +3,3,11178,3,2,7,1,41,2.9,-0.61,67,Y,-0.78,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,7,11195,6,2,7,1,44,2.9,0.25,67,Y,0.36,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +2,3,11209,2,1,7,1,41,2.9,-0.91,55,Y,-0.88,P,7,P,94,1,2,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +3,5,11233,4,1,7,3,33,2.9,-0.44,63,Y,-0.13,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +,,11249,,1,7,6,33,2.9,,65,Y,,F,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,3,11270,3,2,7,3,44,2.9,-0.64,68,Y,-0.81,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,826.842082,g 700+,i 820+,0.9677567,2.9 +6,5,11272,7,2,7,2,31,2.9,0.22,67,Y,-0.27,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +9,9,11288,10,1,7,1,44,2.9,1.3,67,Y,1.18,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +5,5,11291,5,1,6,3,28,2.9,-0.03,67,Y,-0.12,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,574.210514,d 520-580,d 520-580,0.9677567,2.9 +3,6,11324,4,1,7,2,33,2.9,-0.48,68,Y,-0.01,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,2,11351,5,1,3,4,30,2.9,-0.15,67,Y,-1.08,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,605.78946,e 580-640,e 580-640,0.9677567,2.9 +7,7,11358,7,1,7,2,34,2.9,0.5,67,Y,0.43,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +3,3,11384,3,1,7,1,36,2.9,-0.61,67,Y,-0.6,P,2,P,94,1,2,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,8,11400,7,1,7,3,34,2.9,0.33,68,Y,0.59,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,11441,1,1,7,3,26,2.9,-2.25,43,Y,-1.55,F,7,F,94,1,1,-36,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,542.631568,d 520-580,d 520-580,0.9677567,2.9 +7,7,11448,7,2,7,1,40,2.9,0.56,61,Y,0.34,P,2,P,96,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +10,7,11456,10,2,7,3,38,2.9,1.68,67,Y,0.36,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +10,10,11482,10,1,7,4,45,2.9,2.06,71,Y,1.84,P,7,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,842.631555,g 700+,i 820+,0.9677567,2.9 +10,9,11485,10,1,7,4,36,2.9,1.49,69,Y,1.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,4,11490,7,2,7,5,45,2.9,0.52,59,Y,-0.22,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,842.631555,g 700+,i 820+,0.9677567,2.9 +9,9,11497,9,2,7,2,36,2.9,1.23,65,Y,1.26,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,5,11505,5,1,3,1,35,2.9,-0.02,68,Y,-0.17,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,5,11508,7,2,7,1,40,2.9,0.53,69,Y,-0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +9,9,11531,9,2,7,3,44,2.9,1.21,66,Y,0.96,P,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,826.842082,g 700+,i 820+,0.9677567,2.9 +6,5,11535,6,1,2,3,31,2.9,0.14,68,Y,-0.25,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +,,11537,,2,7,5,44,2.9,,64,Y,,P,2,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,826.842082,g 700+,i 820+,0.9677567,2.9 +3,3,11557,3,2,3,3,30,2.9,-0.54,69,Y,-0.63,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +5,6,11563,5,2,7,1,36.5,2.9,-0.03,67,Y,0.08,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,708.4210345,g 700+,g 700-760,0.9677567,2.9 +10,10,11578,10,2,7,3,44,2.9,1.96,51,Y,2.62,P,7,P,95,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,826.842082,g 700+,i 820+,0.9677567,2.9 +2,1,11607,2,1,7,3,34,2.9,-0.87,68,Y,-1.51,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,2,11618,2,1,4,4,40,2.9,-1.05,68,Y,-0.89,P,7,P,95,2,4,-61,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,2,11622,4,2,3,1,32,2.9,-0.42,68,Y,-0.93,P,7,P,93,1,1,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +8,9,11682,8,2,7,1,41,2.9,0.87,65,Y,0.95,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,6,11725,6,2,7,4,37,2.9,0.18,64,Y,0.14,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,8,11752,5,1,7,3,33.5,2.9,-0.21,49,Y,0.67,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +3,5,11762,3,1,7,3,41,2.9,-0.61,68,Y,-0.11,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,3,11820,6,1,7,1,36,2.9,0.16,67,Y,-0.76,F,7,F,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,5,11858,4,2,7,2,34,2.9,-0.36,68,Y,-0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +5,3,11868,5,2,7,3,35,2.9,-0.07,69,Y,-0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,4,11893,2,1,7,3,39,2.9,-0.84,69,Y,-0.48,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,3,11914,5,2,7,3,37,2.9,-0.17,68,Y,-0.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,11923,2,1,3,6,18,2.9,-1.02,69,X,,F,2,P,96,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,416.315784,b 400-460,b 400-460,0.9677567,2.9 +2,1,11925,3,1,7,3,36,2.9,-0.78,60,Y,-1.78,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,2,11955,9,2,7,4,39,2.9,1.23,68,Y,-1.21,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,7,11961,5,2,7,3,36,2.9,-0.05,63,Y,0.35,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,6,11963,8,1,2,3,38,2.9,0.74,67,Y,0.16,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,6,11998,4,1,7,3,36,2.9,-0.44,56,Y,0.21,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +,,12006,,1,7,,38,2.9,0.13,68,Y,-0.27,F,2,F,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,,732.105244,g 700+,g 700-760,0.9677567,2.9 +6,8,12051,6,2,7,3,33,2.9,0.07,66,Y,0.8,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +,,12062,,2,7,2,37,2.9,,64,Y,,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,1,12090,1,1,3,1,24,2.9,-2.13,50,Y,-1.92,P,7,P,94,1,1,-43,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,511.052622,c 460-520,c 460-520,0.9677567,2.9 +6,5,12095,6,2,7,4,40.5,2.9,0.13,59,Y,-0.22,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,771.5789265,g 700+,h 760-820,0.9677567,2.9 +7,4,12204,8,2,7,3,36,2.9,0.56,66,Y,-0.35,P,2,P,96,2,3,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,2,12214,6,1,3,6,25,2.9,0.02,65,Y,-1.05,P,2,P,95,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,526.842095,d 520-580,d 520-580,0.9677567,2.9 +2,2,12228,3,2,7,4,37,2.9,-0.81,64,Y,-0.85,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,9,12274,9,1,7,1,39,2.9,0.92,69,Y,1.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +9,7,12289,9,2,7,3,46,2.9,1.02,68,Y,0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,858.421028,g 700+,i 820+,0.9677567,2.9 +8,8,12303,8,1,7,2,31,2.9,0.59,66,Y,0.73,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +3,3,12336,3,1,7,4,37,2.9,-0.61,69,Y,-0.64,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,5,12340,6,2,7,2,32,2.9,0.07,53,Y,-0.08,P,7,P,94,1,2,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,1,12355,2,1,3,1,27.5,2.9,-0.96,67,Y,-1.62,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,566.3157775,d 520-580,d 520-580,0.9677567,2.9 +7,6,12367,7,1,7,1,36,2.9,0.54,69,Y,0.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,5,12373,4,2,7,1,40,2.9,-0.26,69,Y,-0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,1,12374,3,1,3,3,27,2.9,-0.71,64,Y,-2.06,F,7,F,95,2,3,-57,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,558.421041,d 520-580,d 520-580,0.9677567,2.9 +9,8,12440,9,2,7,2,31,2.9,1,68,Y,0.68,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +3,2,12490,3,1,4,3,30,2.9,-0.54,66,Y,-0.97,F,7,F,94,1,4,-59,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +2,3,12519,2,1,7,3,40,2.9,-0.99,69,Y,-0.57,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,3,12592,2,2,7,1,33.5,2.9,-0.86,69,Y,-0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +2,3,12596,3,1,7,4,37,2.9,-0.81,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,2,12628,3,2,7,3,38,2.9,-0.74,55,Y,-1.15,P,2,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,4,12666,3,2,7,1,42,2.9,-0.69,66,Y,-0.39,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +10,8,12668,10,2,7,4,45,2.9,1.3,65,Y,0.63,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,842.631555,g 700+,i 820+,0.9677567,2.9 +10,9,12694,10,1,7,4,36,2.9,1.32,62,Y,1.07,P,7,P,95,2,2,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,10,12697,9,1,7,4,38,2.9,1.16,67,Y,1.65,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,7,12702,9,2,1,4,33.5,2.9,1.12,68,Y,0.45,P,7,P,95,1,2,-61,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +4,5,12703,5,2,6,2,30,2.9,-0.21,61,Y,-0.11,P,7,P,94,1,1,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +7,6,12741,7,1,7,4,32,2.9,0.42,68,Y,0.21,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,3,12775,2,1,7,4,39.5,2.9,-0.91,66,Y,-0.67,P,7,P,95,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,755.7894535,g 700+,g 700-760,0.9677567,2.9 +10,10,12779,10,1,7,3,37,2.9,1.42,67,Y,1.82,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,12790,1,1,7,3,43,2.9,-1.58,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,811.052609,g 700+,h 760-820,0.9677567,2.9 +7,5,12829,7,1,7,4,35,2.9,0.45,67,Y,-0.21,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +1,2,12869,1,1,7,3,38,2.9,-1.39,59,Y,-0.93,F,7,P,95,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,4,12908,3,2,7,3,30.3,2.9,-0.59,65,Y,-0.48,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,610.5263019,e 580-640,e 580-640,0.9677567,2.9 +10,10,12952,10,2,7,3,41,2.9,2.07,63,Y,1.76,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +5,1,12996,5,2,7,1,34,2.9,-0.05,58,Y,-1.87,P,7,P,95,2,1,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +8,10,13044,8,2,7,1,37,2.9,0.66,66,Y,1.94,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,5,13060,4,1,2,1,33,2.9,-0.23,67,Y,-0.08,P,7,P,94,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +9,9,13069,9,1,7,3,39,2.9,1.1,60,Y,0.98,P,6,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +6,5,13082,6,2,7,3,37,2.9,0.08,65,Y,-0.2,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,1,13088,1,2,3,1,30,2.9,-2.74,69,Y,-3.13,F,7,P,95,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +2,1,13101,3,1,3,6,25,2.9,-0.71,69,Y,-1.45,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,526.842095,d 520-580,d 520-580,0.9677567,2.9 +3,3,13116,4,1,7,4,36,2.9,-0.5,49,Y,-0.72,P,7,P,94,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,3,13119,9,2,7,1,36,2.9,1.19,65,Y,-0.61,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,10,13141,8,1,7,1,48,2.9,0.69,67,Y,1.43,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,889.999974,g 700+,i 820+,0.9677567,2.9 +5,5,13211,6,2,2,3,32.5,2.9,0.05,67,Y,-0.12,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +1,1,13225,2,1,7,6,27,2.9,-1.18,43,Y,-1.35,F,7,F,94,1,3,-36,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,558.421041,d 520-580,d 520-580,0.9677567,2.9 +1,1,13235,1,1,7,4,35,2.9,-1.6,60,Y,-1.62,F,7,F,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,6,13256,4,1,7,4,32.5,2.9,-0.29,69,Y,0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +5,3,13270,5,1,7,3,40,2.9,-0.1,68,Y,-0.85,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +8,9,13274,8,1,7,3,40,2.9,0.6,67,Y,0.9,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,7,13281,5,2,7,5,41,2.9,0.02,54,Y,0.31,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,779.473663,g 700+,h 760-820,0.9677567,2.9 +,,13291,4,2,7,3,41,2.9,-0.46,49,Y,,P,7,P,94,1,4,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +3,5,13311,3,1,7,3,39,2.9,-0.54,66,Y,-0.07,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +3,5,13313,4,2,7,1,41,2.9,-0.47,69,Y,-0.13,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,8,13323,7,1,7,3,31.5,2.9,0.33,50,Y,0.79,P,2,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +9,9,13352,9,2,7,3,30.3,2.9,1.05,65,Y,1.08,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,610.5263019,e 580-640,e 580-640,0.9677567,2.9 +1,2,13356,1,2,7,2,28,2.9,-1.4,65,Y,-1.21,F,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,574.210514,d 520-580,d 520-580,0.9677567,2.9 +8,6,13372,8,1,7,2,35,2.9,0.72,56,Y,-0.02,P,7,P,94,2,4,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,8,13383,5,1,7,3,35,2.9,-0.05,63,Y,0.59,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,9,13447,9,1,7,4,33.5,2.9,0.94,64,Y,0.89,P,7,P,95,1,1,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +4,5,13455,5,1,7,3,33.5,2.9,-0.24,68,Y,-0.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +5,6,13459,5,2,7,3,39,2.9,-0.11,55,Y,0.1,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,13490,2,2,7,3,24,2.9,-0.91,67,Y,-1.07,F,7,P,96,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,511.052622,c 460-520,c 460-520,0.9677567,2.9 +1,2,13513,2,2,7,1,31,2.9,-1.2,67,Y,-1.29,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,621.578933,e 580-640,e 580-640,0.9677567,2.9 +10,9,13515,10,2,7,1,40,2.9,1.45,66,Y,1.13,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,6,13537,6,2,7,2,33,2.9,0.04,67,Y,-0.03,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +10,10,13562,10,2,7,2,34,2.9,1.6,55,Y,2.03,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,13570,1,1,7,2,33,2.9,-1.39,49,Y,-1.64,F,7,F,95,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +,,13592,2,1,7,3,41,2.9,-1.03,69,Y,,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +2,5,13650,2,1,7,2,33,2.9,-1.02,67,Y,-0.32,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +8,7,13663,8,1,7,3,37,2.9,0.66,67,Y,0.39,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,13671,2,1,7,1,32,2.9,-0.98,63,X,,F,7,F,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +10,10,13698,10,1,7,3,39,2.9,1.64,53,Y,2.17,P,7,P,95,2,2,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,13702,1,1,4,1,29,2.9,-2.05,69,Y,-1.77,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,589.999987,e 580-640,e 580-640,0.9677567,2.9 +5,4,13720,5,2,7,1,38,2.9,-0.07,67,Y,-0.35,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +1,3,13732,1,2,2,4,29,2.9,-1.28,59,Y,-0.7,P,7,P,94,1,3,-52,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,589.999987,e 580-640,e 580-640,0.9677567,2.9 +8,7,13816,8,2,7,3,42,2.9,0.62,67,Y,0.39,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +5,1,13833,5,2,7,3,35,2.9,-0.13,66,Y,-1.58,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,4,13840,5,2,7,3,42,2.9,-0.24,67,Y,-0.49,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +6,7,13845,6,1,7,1,43,2.9,0.21,57,Y,0.43,P,7,P,94,1,2,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +9,7,13862,9,2,7,1,31,2.9,1.1,68,Y,0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,621.578933,e 580-640,e 580-640,0.9677567,2.9 +,,13864,5,1,3,5,34,2.9,-0.2,69,Y,,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,668.947352,f 640-700,f 640-700,0.9677567,2.9 +6,7,13872,6,2,7,3,32,2.9,0.24,64,Y,0.36,F,7,P,96,2,2,-57,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +1,2,13874,1,2,7,2,37,2.9,-1.78,57,Y,-0.93,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,13882,,1,5,3,33,2.9,,70,Y,,P,7,P,94,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +7,6,13903,7,2,8,4,32.5,2.9,0.5,66,Y,0.12,P,7,P,95,1,3,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +6,4,13943,6,1,3,3,38,2.9,0.15,65,Y,-0.4,P,7,P,94,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,10,13950,9,2,7,4,36,2.9,0.97,63,Y,1.3,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,4,13981,4,1,7,4,40,2.9,-0.47,50,Y,-0.39,P,2,P,95,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,1,14019,1,2,3,6,31,2.9,-1.69,68,Y,-1.53,F,7,P,95,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,621.578933,e 580-640,e 580-640,0.9677567,2.9 +,,14037,,2,7,1,42,2.9,,66,Y,0.09,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +9,9,14045,9,1,7,4,39,2.9,1,66,Y,1.11,P,2,P,95,1,2,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +9,9,14049,9,1,7,4,46,2.9,1.07,61,Y,0.87,P,7,P,95,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,858.421028,g 700+,i 820+,0.9677567,2.9 +3,4,14057,3,2,7,3,40,2.9,-0.68,46,Y,-0.48,P,2,P,95,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,6,14091,6,2,7,3,33,2.9,0.02,68,Y,0.23,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,2,14106,4,2,7,3,40,2.9,-0.49,64,Y,-0.92,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,3,14112,3,1,7,3,29.5,2.9,-0.84,45,Y,-0.86,P,2,P,94,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +6,4,14184,6,2,7,1,39,2.9,0.22,69,Y,-0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +9,9,14227,9,2,7,1,40,2.9,0.99,65,Y,0.92,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,2,14250,2,1,7,3,34,2.9,-1.01,69,Y,-1.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +3,2,14296,3,1,7,1,37,2.9,-0.54,62,Y,-1.31,P,7,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,8,14300,6,2,7,1,42,2.9,0.27,66,Y,0.74,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,2,14301,2,1,4,6,36,2.9,-0.91,68,Y,-0.9,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,5,14326,4,1,7,3,38,2.9,-0.38,59,Y,-0.05,P,2,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +10,10,14351,10,2,7,4,40,2.9,1.59,64,Y,1.48,P,2,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,3,14358,4,2,7,1,41,2.9,-0.39,69,Y,-0.78,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +4,5,14361,4,1,7,3,34,2.9,-0.26,69,Y,-0.23,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,2,14372,2,1,7,3,36,2.9,-0.91,69,Y,-0.93,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,14397,2,1,7,3,28.3,2.9,-1.11,67,Y,-1.62,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,578.9473559,d 520-580,d 520-580,0.9677567,2.9 +5,5,14498,5,2,7,2,36,2.9,-0.16,68,Y,-0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,4,14513,3,1,7,2,29,2.9,-0.82,56,Y,-0.35,F,7,F,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,589.999987,e 580-640,e 580-640,0.9677567,2.9 +1,8,14514,1,1,7,3,26.5,2.9,-1.65,61,Y,0.6,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,550.5263045,d 520-580,d 520-580,0.9677567,2.9 +5,4,14544,5,2,3,6,29,2.9,-0.06,68,Y,-0.3,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,589.999987,e 580-640,e 580-640,0.9677567,2.9 +1,1,14556,1,2,3,4,26,2.9,-1.7,65,Y,-2.14,F,7,F,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,542.631568,d 520-580,d 520-580,0.9677567,2.9 +7,8,14599,7,2,7,1,35.5,2.9,0.41,68,Y,0.6,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,692.6315615,f 640-700,f 640-700,0.9677567,2.9 +4,5,14623,5,2,7,4,35,2.9,-0.22,61,Y,-0.05,P,7,P,95,2,1,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,5,14656,4,2,7,3,40,2.9,-0.27,66,Y,-0.2,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +,,14665,1,1,3,3,20.5,2.9,-1.77,,X,,F,7,F,95,1,1,,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,455.7894665,b 400-460,b 400-460,0.9677567,2.9 +2,3,14670,3,1,7,4,39,2.9,-0.76,68,Y,-0.57,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +3,1,14691,3,2,7,4,37,2.9,-0.69,69,Y,-1.33,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +5,6,14732,5,2,7,3,39,2.9,-0.03,44,Y,0.13,P,7,P,95,2,3,-37,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +,,14740,,1,3,5,29,2.9,,66,Y,,F,7,F,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,6,589.999987,e 580-640,e 580-640,0.9677567,2.9 +9,7,14748,9,1,7,3,37,2.9,1.01,56,Y,0.28,P,2,P,96,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,2,14749,2,1,1,4,39.5,2.9,-1.11,66,Y,-1.1,P,7,P,94,1,5,-59,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,755.7894535,g 700+,g 700-760,0.9677567,2.9 +3,6,14764,3,2,8,3,34.5,2.9,-0.58,67,Y,0.13,P,7,P,94,1,5,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +8,5,14778,8,2,7,1,40,2.9,0.76,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,5,14781,4,2,7,3,35,2.9,-0.26,69,Y,-0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +1,1,14796,1,2,7,1,36,2.9,-1.63,60,Y,-1.83,P,7,P,95,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,7,14902,5,1,7,3,40,2.9,-0.11,66,Y,0.26,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,4,14903,2,2,7,3,35,2.9,-0.84,57,Y,-0.52,P,7,P,94,1,2,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,8,14924,7,2,7,3,41,2.9,0.5,69,Y,0.74,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +5,6,14978,5,2,7,3,38,2.9,-0.1,60,Y,0.11,P,2,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +2,4,14979,3,1,7,2,33,2.9,-0.85,70,Y,-0.49,F,7,F,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +7,8,15018,7,2,7,2,32,2.9,0.33,65,Y,0.57,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,5,15020,5,1,7,2,31,2.9,-0.03,66,Y,-0.17,P,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +6,5,15026,6,1,7,3,35,2.9,0.19,66,Y,-0.26,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,6,15044,6,2,7,3,30,2.9,0.18,64,Y,0.06,P,2,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +10,9,15058,10,1,3,6,36.5,2.9,1.59,66,Y,1.31,P,7,P,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,708.4210345,g 700+,g 700-760,0.9677567,2.9 +7,8,15060,7,2,7,1,46,2.9,0.46,67,Y,0.63,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,858.421028,g 700+,i 820+,0.9677567,2.9 +4,2,15120,4,2,7,2,27,2.9,-0.36,68,Y,-1.09,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,558.421041,d 520-580,d 520-580,0.9677567,2.9 +4,5,15131,5,1,5,1,36,2.9,-0.21,50,Y,-0.04,F,2,P,96,1,3,-48,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,8,15138,9,2,7,3,36,2.9,0.92,68,Y,0.83,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,4,15153,4,1,7,3,38,2.9,-0.51,69,Y,-0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,3,15186,7,2,7,3,34,2.9,0.37,63,Y,-0.77,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,15194,1,2,7,3,34.5,2.9,-1.73,57,Y,-1.51,P,2,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +1,2,15220,1,2,7,1,38,2.9,-1.38,49,Y,-1.21,P,7,P,94,1,4,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +4,4,15228,4,2,7,3,30,2.9,-0.31,60,Y,-0.29,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +,,15274,1,1,4,4,29.7,2.9,-1.66,68,X,,F,7,P,96,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,601.0526181,e 580-640,e 580-640,0.9677567,2.9 +7,3,15293,7,1,7,3,34,2.9,0.33,64,Y,-0.73,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +10,10,15308,10,2,7,1,43,2.9,1.89,69,Y,1.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +9,10,15329,9,2,7,3,37,2.9,1.14,68,Y,1.37,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,3,15365,6,2,7,3,35.5,2.9,0.06,64,Y,-0.83,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.6315615,f 640-700,f 640-700,0.9677567,2.9 +2,4,15375,2,1,7,2,26,2.9,-1.03,66,Y,-0.47,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,542.631568,d 520-580,d 520-580,0.9677567,2.9 +7,7,15400,7,1,7,4,35.5,2.9,0.28,67,Y,0.37,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,692.6315615,f 640-700,f 640-700,0.9677567,2.9 +2,1,15412,2,1,2,4,28,2.9,-0.98,68,Y,-1.32,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,574.210514,d 520-580,d 520-580,0.9677567,2.9 +5,3,15425,5,1,7,1,36,2.9,-0.09,69,Y,-0.77,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,15437,1,1,8,3,15.5,2.9,-1.3,67,Y,-1.62,F,7,F,94,1,3,-60,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,376.8421015,a under 400,a under 400,0.9677567,2.9 +2,3,15441,3,1,7,2,37,2.9,-0.8,69,Y,-0.85,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +8,7,15442,8,2,7,3,35,2.9,0.8,66,Y,0.5,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,6,15445,5,1,7,2,28.5,2.9,-0.28,62,Y,-0.02,F,7,F,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,582.1052505,e 580-640,e 580-640,0.9677567,2.9 +1,1,15472,1,2,6,1,21,2.9,-1.78,62,Y,-3.14,F,7,F,94,1,4,-55,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,463.684203,c 460-520,c 460-520,0.9677567,2.9 +2,2,15500,2,1,6,1,25,2.9,-0.94,69,Y,-1.03,P,,P,,1,5,,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,526.842095,d 520-580,d 520-580,0.9677567,2.9 +8,7,15552,8,2,7,2,34,2.9,0.77,66,Y,0.4,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,15590,2,2,7,4,42,2.9,-1.17,66,Y,-1.35,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +5,6,15600,6,1,2,3,37,2.9,-0.01,69,Y,0.06,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +8,7,15609,8,2,3,6,23,2.9,0.72,60,Y,0.32,P,7,P,94,1,1,-53,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,495.263149,c 460-520,c 460-520,0.9677567,2.9 +10,9,15616,10,2,7,3,31,2.9,1.49,67,Y,0.93,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +8,9,15617,8,2,7,4,40,2.9,0.64,69,Y,1.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,3,15633,3,2,7,2,32,2.9,-0.82,67,Y,-0.84,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,6,15652,5,2,7,3,40,2.9,-0.05,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,1,15679,1,2,5,3,30,2.9,-1.59,69,Y,-1.68,F,7,P,95,1,5,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +3,5,15737,3,1,7,4,35,2.9,-0.56,64,Y,-0.12,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,4,15748,5,1,2,4,29.5,2.9,-0.07,66,Y,-0.45,P,7,P,94,1,5,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +8,7,15752,8,2,7,1,43,2.9,0.62,67,Y,0.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +7,7,15812,7,1,7,3,36,2.9,0.36,48,Y,0.46,P,2,P,95,2,3,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,3,15838,3,1,7,1,45,2.9,-0.69,63,Y,-0.79,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,842.631555,g 700+,i 820+,0.9677567,2.9 +7,8,15844,7,2,7,4,36,2.9,0.42,59,Y,0.66,P,2,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,3,15890,3,2,3,1,37,2.9,-0.76,60,Y,-0.74,P,7,P,95,2,3,-53,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,7,15902,3,1,7,3,35,2.9,-0.64,69,Y,0.3,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,6,15922,7,2,7,4,39,2.9,0.49,68,Y,0.2,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,15985,1,2,7,3,36,2.9,-1.77,62,Y,-1.9,F,7,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,5,15987,7,2,7,1,45,2.9,0.31,67,Y,-0.08,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,842.631555,g 700+,i 820+,0.9677567,2.9 +4,6,15999,4,2,7,3,38,2.9,-0.36,62,Y,-0.02,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,5,16007,5,1,7,1,36,2.9,-0.11,69,Y,-0.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +10,9,16011,10,2,7,2,33,2.9,1.62,69,Y,1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +1,1,16012,1,2,7,4,30.5,2.9,-1.39,66,Y,-1.5,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,613.6841965,e 580-640,e 580-640,0.9677567,2.9 +5,4,16039,5,1,7,2,36,2.9,-0.17,66,Y,-0.39,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,3,16047,2,2,6,4,39,2.9,-1.06,68,Y,-0.6,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +6,8,16056,6,2,7,1,41,2.9,0.28,60,Y,0.74,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +3,4,16071,3,1,7,1,42,2.9,-0.7,67,Y,-0.43,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,2,16093,3,2,7,3,40,2.9,-0.79,61,Y,-1.23,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,3,16144,3,2,3,3,29,2.9,-0.64,67,Y,-0.71,P,7,P,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +6,5,16196,6,1,7,3,36,2.9,0.19,69,Y,-0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,3,16203,3,1,7,1,43,2.9,-0.65,63,Y,-0.74,P,2,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +,,16208,,2,7,,30,2.9,1.24,68,Y,0.65,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,605.78946,e 580-640,e 580-640,0.9677567,2.9 +10,9,16214,10,1,7,3,36,2.9,1.34,67,Y,1.16,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,7,16231,3,2,7,3,36,2.9,-0.63,62,Y,0.29,P,7,P,94,1,,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,5,16239,6,2,7,3,35,2.9,0,68,Y,-0.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,9,16298,9,2,7,3,42,2.9,0.87,67,Y,0.91,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +4,4,16299,4,1,6,1,45,2.9,-0.3,70,Y,-0.39,P,7,P,94,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,842.631555,g 700+,i 820+,0.9677567,2.9 +1,1,16341,1,1,3,1,27,2.9,-1.95,66,Y,-2.1,P,2,P,95,1,2,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,558.421041,d 520-580,d 520-580,0.9677567,2.9 +2,2,16355,2,2,7,3,29,2.9,-1.03,67,Y,-1.13,F,7,F,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +2,1,16366,2,2,7,1,44,2.9,-1.13,65,Y,-1.83,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +3,4,16414,3,2,2,3,38,2.9,-0.55,68,Y,-0.44,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +1,1,16454,1,1,7,3,34,2.9,-1.41,69,Y,-1.36,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +,,16464,,1,7,1,40,2.9,,69,Y,,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +8,5,16490,8,1,7,3,32,2.9,0.8,68,Y,-0.16,P,2,P,95,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,3,16495,2,1,3,4,40,2.9,-0.91,56,Y,-0.79,P,7,P,94,1,1,-49,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,5,16539,6,1,7,3,38,2.9,0.24,68,Y,-0.12,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,7,16558,8,1,7,3,31.3,2.9,0.54,67,Y,0.38,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,626.3157749,e 580-640,e 580-640,0.9677567,2.9 +4,2,16575,5,1,7,1,40,2.9,-0.18,66,Y,-1.02,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,1,16584,1,2,7,1,42,2.9,-1.54,68,Y,-1.88,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +1,1,16597,1,1,3,1,27,2.9,-2.35,69,Y,-2.83,P,2,P,95,1,5,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,558.421041,d 520-580,d 520-580,0.9677567,2.9 +8,2,16625,8,2,8,3,36,2.9,0.66,68,Y,-0.99,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,8,16649,9,1,7,2,34,2.9,0.82,64,Y,0.68,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,16674,1,1,3,4,28,2.9,-2.13,61,Y,-2.2,F,7,F,95,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,574.210514,d 520-580,d 520-580,0.9677567,2.9 +10,10,16678,10,1,7,1,44,2.9,1.59,65,Y,1.42,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +5,3,16684,5,1,7,1,33,2.9,-0.03,68,Y,-0.62,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,2,16711,3,2,7,3,32,2.9,-0.62,66,Y,-1.22,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +6,5,16767,6,1,7,3,32,2.9,0.17,65,Y,-0.21,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +1,8,16774,1,1,3,2,28,2.9,-2.24,67,Y,0.86,F,2,P,95,1,2,-65,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,574.210514,d 520-580,d 520-580,0.9677567,2.9 +6,6,16788,6,2,7,1,34,2.9,0.2,63,Y,0.05,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,16789,1,2,7,1,46,2.9,-1.62,68,Y,-2.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,858.421028,g 700+,i 820+,0.9677567,2.9 +8,9,16797,8,1,6,4,43,2.9,0.81,67,Y,0.87,P,7,P,94,1,1,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +7,7,16815,7,2,7,3,38,2.9,0.48,67,Y,0.5,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,7,16878,9,1,7,3,36,2.9,0.89,63,Y,0.45,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,8,16918,7,2,7,3,45,2.9,0.37,69,Y,0.84,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,842.631555,g 700+,i 820+,0.9677567,2.9 +6,7,16931,6,1,7,3,35,2.9,0.09,59,Y,0.42,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,6,16954,5,2,7,2,28.5,2.9,-0.03,68,Y,-0.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,582.1052505,e 580-640,e 580-640,0.9677567,2.9 +,,16967,2,1,3,5,37,2.9,-1.2,66,Y,,P,7,P,94,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,6,17005,6,2,7,3,38,2.9,0.12,69,Y,0,F,6,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,3,17037,3,2,7,1,36,2.9,-0.59,69,Y,-0.8,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,4,17076,5,1,7,4,36,2.9,-0.06,66,Y,-0.41,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,2,17090,1,2,7,3,34,2.9,-1.93,66,Y,-1.23,F,7,P,95,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +3,2,17092,3,2,7,4,43,2.9,-0.55,61,Y,-0.88,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +3,1,17094,3,2,7,3,39,2.9,-0.69,68,Y,-1.38,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,2,17113,4,2,7,1,21,2.9,-0.4,40,Y,-0.9,P,2,P,95,1,1,-38,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,463.684203,c 460-520,c 460-520,0.9677567,2.9 +5,7,17137,5,2,7,2,35,2.9,-0.2,60,Y,0.4,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,5,17157,7,2,7,3,36,2.9,0.45,64,Y,-0.18,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,5,17168,5,2,7,3,37,2.9,-0.24,66,Y,-0.06,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,1,17172,1,2,7,1,41,2.9,-1.64,60,Y,-1.83,P,7,P,94,1,1,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +5,4,17177,5,2,7,2,34,2.9,-0.2,66,Y,-0.56,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +5,3,17215,5,2,7,3,33,2.9,-0.06,69,Y,-0.88,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +,,17230,,1,7,5,42,2.9,,61,Y,,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,795.263136,g 700+,h 760-820,0.9677567,2.9 +4,4,17254,4,2,7,4,39,2.9,-0.43,66,Y,-0.38,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,6,17268,4,2,7,2,34,2.9,-0.41,68,Y,0.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,17312,1,1,3,1,21,2.9,-3.35,68,Y,-2.45,F,2,F,94,1,4,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,463.684203,c 460-520,c 460-520,0.9677567,2.9 +3,2,17338,3,2,7,1,31,2.9,-0.56,66,Y,-1.1,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,621.578933,e 580-640,e 580-640,0.9677567,2.9 +8,9,17348,8,2,7,3,46,2.9,0.79,58,Y,1.05,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,858.421028,g 700+,i 820+,0.9677567,2.9 +10,9,17390,10,1,7,3,44,2.9,1.68,59,Y,1.01,P,7,P,95,2,3,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,826.842082,g 700+,i 820+,0.9677567,2.9 +7,3,17400,7,2,7,4,45,2.9,0.48,66,Y,-0.66,P,2,P,96,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,842.631555,g 700+,i 820+,0.9677567,2.9 +9,9,17405,9,2,7,3,37,2.9,1.16,67,Y,1.08,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,3,17427,4,2,7,1,45,2.9,-0.39,54,Y,-0.84,P,7,P,94,1,5,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,842.631555,g 700+,i 820+,0.9677567,2.9 +3,2,17437,3,1,3,1,25.5,2.9,-0.71,57,Y,-1.11,P,2,P,95,2,2,-55,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,534.7368315,d 520-580,d 520-580,0.9677567,2.9 +6,5,17453,6,1,7,4,34.5,2.9,0.13,64,Y,0,P,7,P,94,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +4,3,17492,4,2,7,1,35,2.9,-0.24,64,Y,-0.62,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,4,17527,3,2,7,2,29,2.9,-0.63,63,Y,-0.44,P,7,P,94,1,1,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,589.999987,e 580-640,e 580-640,0.9677567,2.9 +3,3,17575,4,2,7,3,35,2.9,-0.51,69,Y,-0.64,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,7,17578,7,1,7,2,37,2.9,0.34,69,Y,0.38,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +5,6,17593,6,2,7,3,29,2.9,0.03,68,Y,0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +2,4,17641,3,2,7,1,40,2.9,-0.76,66,Y,-0.39,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,3,17669,6,2,7,3,39,2.9,0.13,60,Y,-0.76,P,7,P,93,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +6,5,17688,6,1,4,1,41,2.9,0.21,67,Y,-0.06,P,7,P,94,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +1,2,17689,1,1,7,2,34,2.9,-1.3,67,Y,-0.98,P,2,P,95,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +5,7,17723,6,2,3,6,26,2.9,0.08,69,Y,0.26,P,7,P,94,1,5,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,542.631568,d 520-580,d 520-580,0.9677567,2.9 +3,4,17756,3,1,7,3,39,2.9,-0.54,40,Y,-0.37,P,7,P,95,2,2,-33,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +8,7,17790,8,2,7,3,44,2.9,0.61,69,Y,0.43,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,826.842082,g 700+,i 820+,0.9677567,2.9 +4,3,17794,4,2,7,2,32,2.9,-0.43,68,Y,-0.8,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,1,17799,2,2,7,5,38,2.9,-0.95,69,Y,-1.31,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,9,17805,9,2,7,4,43,2.9,1.11,65,Y,0.96,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +1,1,17837,1,2,3,1,34,2.9,-2.61,69,Y,-2.93,P,2,P,95,1,3,-67,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +9,9,17904,10,2,7,3,37,2.9,1.28,67,Y,1.25,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,2,17909,3,1,3,1,25,2.9,-0.58,66,Y,-0.97,F,2,F,95,2,3,-64,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,526.842095,d 520-580,d 520-580,0.9677567,2.9 +3,4,17927,3,2,7,1,38.5,2.9,-0.7,65,Y,-0.52,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,739.9999805,g 700+,g 700-760,0.9677567,2.9 +7,8,17929,7,1,7,3,31,2.9,0.41,69,Y,0.59,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +3,2,17933,4,1,7,3,36,2.9,-0.48,63,Y,-0.97,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,1,17956,6,2,7,4,44,2.9,0.13,64,Y,-1.49,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,826.842082,g 700+,i 820+,0.9677567,2.9 +2,1,17967,3,2,7,3,37,2.9,-0.81,68,Y,-1.68,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,7,17997,8,2,7,1,42,2.9,0.59,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +10,10,18007,10,2,7,2,36,2.9,2.15,64,Y,1.85,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,4,18040,7,2,6,3,33.5,2.9,0.47,67,Y,-0.36,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +9,10,18054,9,2,6,2,28,2.9,0.99,64,Y,1.4,P,7,P,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,574.210514,d 520-580,d 520-580,0.9677567,2.9 +7,9,18106,7,2,7,1,40,2.9,0.49,63,Y,0.93,P,2,P,96,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,3,18109,2,1,6,1,37,2.9,-0.98,70,Y,-0.69,P,2,P,94,1,3,-68,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,1,18147,2,1,4,3,27,2.9,-1.16,68,Y,-1.81,F,7,F,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,558.421041,d 520-580,d 520-580,0.9677567,2.9 +1,1,18154,2,2,7,2,30.5,2.9,-1.18,67,Y,-1.54,F,7,F,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,613.6841965,e 580-640,e 580-640,0.9677567,2.9 +4,8,18169,4,1,7,3,35,2.9,-0.32,68,Y,0.78,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,3,18220,3,2,3,4,29,2.9,-0.7,70,Y,-0.83,P,7,P,94,1,3,-63,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,589.999987,e 580-640,e 580-640,0.9677567,2.9 +4,6,18221,4,2,7,3,39,2.9,-0.29,69,Y,0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,1,18230,2,1,1,1,29,2.9,-1.13,68,Y,-1.47,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,589.999987,e 580-640,e 580-640,0.9677567,2.9 +2,1,18239,2,2,7,2,37,2.9,-1.03,67,Y,-1.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,4,18267,7,1,2,3,33,2.9,0.32,66,Y,-0.31,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +6,5,18268,6,2,7,3,31.5,2.9,0.2,66,Y,-0.13,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +10,9,18292,10,2,7,3,39,2.9,1.62,64,Y,1.11,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,2,18306,6,1,7,3,34,2.9,0.03,63,Y,-1.2,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +3,3,18309,3,2,7,1,33,2.9,-0.6,65,Y,-0.77,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +,,18312,,1,3,4,31,2.9,,62,Y,,P,7,P,94,1,3,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,621.578933,e 580-640,e 580-640,0.9677567,2.9 +2,1,18319,3,2,7,1,35,2.9,-0.77,63,Y,-2.01,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,3,18320,5,2,7,3,31.5,2.9,-0.03,69,Y,-0.77,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +8,7,18323,8,2,7,2,30.5,2.9,0.77,68,Y,0.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,613.6841965,e 580-640,e 580-640,0.9677567,2.9 +3,2,18343,3,2,7,3,31.5,2.9,-0.66,69,Y,-1.07,F,7,F,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +7,7,18348,7,2,7,4,36.5,2.9,0.33,68,Y,0.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,708.4210345,g 700+,g 700-760,0.9677567,2.9 +2,2,18372,3,2,7,1,30,2.9,-0.74,62,Y,-0.99,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +4,1,18373,5,2,6,3,34,2.9,-0.24,66,Y,-2.12,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +4,3,18380,4,1,2,3,31,2.9,-0.4,68,Y,-0.64,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +9,7,18388,9,2,7,3,38,2.9,0.9,65,Y,0.43,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,3,18458,4,2,4,1,28,2.9,-0.47,68,Y,-0.65,P,2,P,94,1,3,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,574.210514,d 520-580,d 520-580,0.9677567,2.9 +4,5,18462,5,2,7,3,33,2.9,-0.23,68,Y,-0.03,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,6,18477,5,2,7,2,31,2.9,-0.16,67,Y,-0.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +2,2,18479,2,1,7,3,32,2.9,-0.88,61,Y,-1,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +3,1,18506,3,2,8,4,43,2.9,-0.64,69,Y,-1.41,P,7,P,94,1,5,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +5,4,18507,5,2,7,3,29,2.9,-0.02,65,Y,-0.51,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +1,1,18540,1,2,2,4,39,2.9,-1.57,69,Y,-1.89,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,7,18547,5,2,6,3,37,2.9,-0.13,67,Y,0.52,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +10,10,18553,10,2,7,4,44,2.9,1.86,63,Y,2.58,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,826.842082,g 700+,i 820+,0.9677567,2.9 +3,2,18566,3,1,7,2,28,2.9,-0.66,69,Y,-1.06,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,574.210514,d 520-580,d 520-580,0.9677567,2.9 +6,4,18575,6,2,7,1,43,2.9,0.18,68,Y,-0.34,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +4,2,18595,4,2,7,3,29.5,2.9,-0.33,67,Y,-1.1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +6,8,18605,6,1,7,4,43,2.9,0.17,61,Y,0.66,P,7,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +3,3,18627,3,2,4,1,39,2.9,-0.54,64,Y,-0.83,P,7,P,95,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,18639,3,2,7,2,35,2.9,-0.73,59,Y,-1.01,F,7,F,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,8,18649,7,2,7,3,37,2.9,0.48,67,Y,0.55,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,2,18653,2,1,7,3,31,2.9,-0.97,62,Y,-0.92,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +4,3,18663,4,2,2,4,33,2.9,-0.37,68,Y,-0.6,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,653.157879,f 640-700,f 640-700,0.9677567,2.9 +7,6,18681,7,2,7,3,36,2.9,0.32,65,Y,0.21,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,7,18706,8,1,7,1,39,2.9,0.79,65,Y,0.39,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +,,18709,8,1,6,5,40,2.9,0.68,67,Y,,P,7,P,94,1,1,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +10,10,18752,10,2,7,3,40,2.9,1.51,67,Y,1.77,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,2,18770,3,2,3,4,33,2.9,-0.64,68,Y,-0.87,F,7,F,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,653.157879,f 640-700,f 640-700,0.9677567,2.9 +1,1,18800,1,2,7,3,38,2.9,-1.73,69,Y,-2,F,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +8,8,18807,8,2,7,3,37,2.9,0.59,67,Y,0.79,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +8,9,18843,8,1,7,3,32,2.9,0.68,66,Y,1.23,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +7,3,18972,7,2,7,3,29,2.9,0.46,66,Y,-0.67,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +10,10,18984,10,1,7,4,40,2.9,2.13,62,Y,2.55,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,6,19052,3,2,7,4,36,2.9,-0.52,68,Y,0.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,5,19056,6,2,7,3,36,2.9,0.22,68,Y,-0.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,2,19068,1,1,3,4,26,2.9,-1.31,64,Y,-1.16,F,7,F,94,1,1,-57,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,542.631568,d 520-580,d 520-580,0.9677567,2.9 +9,4,19075,9,1,7,1,33,2.9,0.95,68,Y,-0.28,F,2,F,96,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +7,6,19081,7,2,7,3,40,2.9,0.47,68,Y,0.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +8,5,19115,8,2,7,2,33,2.9,0.74,69,Y,-0.17,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +1,5,19142,2,1,7,3,39,2.9,-1.14,67,Y,-0.18,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,9,19146,10,2,7,1,45,2.9,1.42,54,Y,1.27,P,2,P,96,2,2,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,842.631555,g 700+,i 820+,0.9677567,2.9 +6,6,19147,6,2,7,1,43,2.9,0.16,66,Y,0.24,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +1,1,19169,1,2,7,1,43,2.9,-1.59,69,Y,-1.51,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +1,3,19186,2,2,7,3,36,2.9,-1.26,58,Y,-0.62,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +10,10,19188,10,2,7,2,33,2.9,1.27,60,Y,1.38,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +4,7,19216,4,2,7,3,29,2.9,-0.29,65,Y,0.46,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +4,2,19218,4,1,7,3,32.5,2.9,-0.36,69,Y,-1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +2,2,19280,2,1,3,4,39,2.9,-0.87,67,Y,-1.08,F,7,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +,,19293,,1,7,4,40,2.9,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +2,3,19304,2,1,4,4,33,2.9,-0.89,68,Y,-0.55,P,2,P,94,1,5,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,653.157879,f 640-700,f 640-700,0.9677567,2.9 +2,2,19318,2,1,7,4,36,2.9,-1.14,69,Y,-0.95,P,7,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,8,19323,4,2,7,3,35,2.9,-0.42,58,Y,0.55,P,2,P,96,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,9,19389,9,1,7,3,32,2.9,1.18,68,Y,1.02,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,4,19396,5,1,7,1,40,2.9,0.03,63,Y,-0.32,P,2,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,1,19397,6,1,1,1,41,2.9,0.14,64,Y,-1.59,P,2,P,96,2,3,-62,female,1,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +10,10,19426,10,2,7,3,33,2.9,1.44,69,Y,1.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +8,2,19469,8,2,7,1,34,2.9,0.74,57,Y,-0.94,P,2,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,19552,2,2,7,3,38,2.9,-1.3,69,Y,-1.61,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +2,1,19562,2,1,7,3,39,2.9,-1.03,69,Y,-1.73,F,7,F,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,3,19584,3,2,7,3,34,2.9,-0.74,52,Y,-0.67,F,7,P,95,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +4,3,19636,5,2,7,4,34,2.9,-0.24,69,Y,-0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,668.947352,f 640-700,f 640-700,0.9677567,2.9 +6,5,19655,6,2,7,3,33,2.9,0.19,62,Y,-0.21,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +6,5,19662,6,2,7,3,41,2.9,0.14,62,Y,-0.17,P,7,P,95,2,2,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +2,1,19672,3,1,7,3,32,2.9,-0.82,63,Y,-1.42,P,7,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +1,1,19680,1,1,7,2,34,2.9,-1.29,66,Y,-2.18,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +5,6,19681,5,1,7,1,35.5,2.9,0,67,Y,0.04,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,692.6315615,f 640-700,f 640-700,0.9677567,2.9 +1,5,19734,1,2,7,3,39,2.9,-1.88,68,Y,-0.15,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +6,3,19758,6,2,7,3,40,2.9,0.19,68,Y,-0.79,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,5,19790,6,2,2,1,37,2.9,0.06,66,Y,-0.1,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,2,19815,1,1,7,1,36,2.9,-1.44,68,Y,-0.94,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +,,19821,5,2,7,3,36,2.9,-0.18,68,X,,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,3,19884,5,2,7,1,37,2.9,-0.1,65,Y,-0.82,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,9,19939,7,2,7,3,36,2.9,0.43,67,Y,0.9,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,7,19967,8,2,7,3,33,2.9,0.7,67,Y,0.53,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +1,3,20000,2,1,7,3,34,2.9,-1.13,68,Y,-0.75,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +8,6,20014,8,2,3,6,22,2.9,0.81,68,Y,0.07,P,7,P,94,1,1,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,479.473676,c 460-520,c 460-520,0.9677567,2.9 +4,6,20017,4,2,7,3,34.5,2.9,-0.28,45,Y,0,F,7,P,96,1,3,-38,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +2,2,20022,3,2,7,1,35,2.9,-0.82,49,Y,-1.16,P,7,P,95,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,1,20024,5,1,2,3,30,2.9,-0.2,68,Y,-1.41,F,7,F,95,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +8,10,20028,8,1,7,3,39,2.9,0.57,64,Y,1.34,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,20061,2,2,7,4,42,2.9,-1.17,58,Y,-1.4,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +6,6,20066,6,2,7,3,43,2.9,0.12,66,Y,0.22,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,811.052609,g 700+,h 760-820,0.9677567,2.9 +3,3,20070,4,2,7,3,39,2.9,-0.46,69,Y,-0.63,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +6,4,20086,6,2,3,1,42,2.9,0.13,66,Y,-0.53,P,7,P,94,1,4,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +3,2,20135,3,1,8,4,29.3,2.9,-0.59,68,Y,-0.93,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,594.7368289,e 580-640,e 580-640,0.9677567,2.9 +10,5,20136,10,2,3,4,30,2.9,1.45,67,Y,-0.01,P,2,P,94,1,3,-65,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,605.78946,e 580-640,e 580-640,0.9677567,2.9 +5,5,20142,5,2,7,1,39,2.9,-0.12,64,Y,-0.13,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,9,20155,10,1,7,4,35,2.9,1.72,58,Y,1.11,P,7,P,95,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +8,8,20170,8,2,7,3,32,2.9,0.73,67,Y,0.58,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +4,5,20175,4,2,7,1,33,2.9,-0.24,50,Y,-0.15,P,7,P,94,1,3,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +4,3,20176,5,2,7,1,39,2.9,-0.17,69,Y,-0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +3,2,20189,3,2,7,3,37,2.9,-0.64,61,Y,-1.04,F,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +8,8,20229,8,1,7,6,35.5,2.9,0.65,63,Y,0.91,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,692.6315615,f 640-700,f 640-700,0.9677567,2.9 +5,4,20299,5,2,7,3,33,2.9,-0.03,55,Y,-0.29,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,6,20318,5,2,7,1,40,2.9,0.04,64,Y,0.02,P,7,P,93,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,1,20328,1,1,3,1,26,2.9,-1.55,69,Y,-1.92,F,7,F,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,542.631568,d 520-580,d 520-580,0.9677567,2.9 +5,4,20344,5,1,7,4,39,2.9,-0.17,69,Y,-0.37,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,10,20347,10,1,7,1,43,2.9,1.34,56,Y,1.47,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +6,5,20368,6,2,7,2,27.7,2.9,0.16,67,Y,-0.3,P,2,P,95,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,569.4736721,d 520-580,d 520-580,0.9677567,2.9 +5,4,20384,5,1,7,3,40,2.9,-0.07,70,Y,-0.37,P,2,P,95,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,5,20440,4,1,2,3,36,2.9,-0.34,68,Y,-0.05,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +10,10,20470,10,1,7,3,35,2.9,1.37,63,Y,1.68,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +10,9,20484,10,2,7,1,44,2.9,1.31,69,Y,1.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +1,1,20497,1,2,6,3,34,2.9,-1.37,61,Y,-1.46,F,2,P,95,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +9,8,20508,9,1,7,3,37,2.9,0.92,69,Y,0.81,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,10,20512,9,2,6,3,39,2.9,1.2,69,Y,2.07,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,5,20523,6,2,7,4,39,2.9,0.05,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,7,20555,10,2,7,1,35,2.9,1.44,47,Y,0.37,P,2,P,95,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,3,20569,2,1,7,4,39,2.9,-1.06,68,Y,-0.61,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +4,3,20583,4,2,7,3,33,2.9,-0.38,68,Y,-0.61,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +7,4,20611,8,2,7,2,40,2.9,0.56,60,Y,-0.51,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,763.68419,g 700+,h 760-820,0.9677567,2.9 +7,8,20625,7,1,7,3,40,2.9,0.36,66,Y,0.7,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,5,20658,4,2,7,1,41,2.9,-0.37,67,Y,-0.11,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,5,20661,6,2,7,2,33,2.9,0.09,60,Y,-0.17,P,2,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +4,4,20678,4,2,7,3,34,2.9,-0.25,66,Y,-0.33,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +4,3,20714,4,1,7,1,29.5,2.9,-0.35,67,Y,-0.68,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +,,20716,10,2,7,5,46,2.9,1.73,60,Y,,P,7,P,94,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,858.421028,g 700+,i 820+,0.9677567,2.9 +5,5,20727,6,1,8,3,35,2.9,0.05,68,Y,-0.02,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,1,20738,2,1,3,1,25,2.9,-1.11,69,Y,-1.67,P,7,P,94,1,1,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,526.842095,d 520-580,d 520-580,0.9677567,2.9 +8,8,20743,8,2,7,2,31,2.9,0.8,66,Y,0.84,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +4,2,20744,4,2,7,2,28,2.9,-0.3,56,Y,-0.93,P,7,P,94,2,2,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,574.210514,d 520-580,d 520-580,0.9677567,2.9 +5,9,20751,5,2,7,1,32,2.9,-0.01,67,Y,0.99,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,6,20781,5,1,7,2,29,2.9,-0.05,68,Y,0.05,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,589.999987,e 580-640,e 580-640,0.9677567,2.9 +,,20801,9,2,7,3,41,2.9,1.13,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +4,3,20832,4,2,7,3,29,2.9,-0.28,69,Y,-0.7,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +2,3,20845,3,2,3,1,31,2.9,-0.77,68,Y,-0.67,P,7,P,94,1,1,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,621.578933,e 580-640,e 580-640,0.9677567,2.9 +2,3,20846,2,1,3,1,30,2.9,-1.14,57,Y,-0.82,P,7,P,95,2,2,-50,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +1,1,20876,1,1,3,5,29,2.9,-1.94,67,Y,-1.6,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,589.999987,e 580-640,e 580-640,0.9677567,2.9 +4,3,20912,4,2,7,1,39,2.9,-0.29,69,Y,-0.84,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,3,20960,6,1,4,6,28,2.9,0.02,69,Y,-0.76,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,574.210514,d 520-580,d 520-580,0.9677567,2.9 +9,9,20963,9,1,7,5,44,2.9,1.17,69,Y,1.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,826.842082,g 700+,i 820+,0.9677567,2.9 +3,2,21028,4,2,3,3,16,2.9,-0.5,60,Y,-1.22,F,2,P,96,2,4,-58,male,1,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,384.736838,a under 400,a under 400,0.9677567,2.9 +1,3,21029,2,2,7,2,35,2.9,-1.23,69,Y,-0.89,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,2,21032,3,1,3,5,40,2.9,-0.85,63,Y,-0.94,P,7,P,94,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +7,7,21044,7,2,7,3,45,2.9,0.42,59,Y,0.47,P,2,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,842.631555,g 700+,i 820+,0.9677567,2.9 +4,3,21073,4,2,7,2,37,2.9,-0.34,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,2,21083,1,2,6,4,31,2.9,-1.38,69,Y,-1.16,F,2,P,95,1,4,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,621.578933,e 580-640,e 580-640,0.9677567,2.9 +7,7,21119,7,2,7,2,35,2.9,0.5,54,Y,0.24,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,5,21142,7,2,7,1,38,2.9,0.4,68,Y,-0.01,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +,,21149,1,1,3,3,24.5,2.9,-2.63,69,X,,F,7,F,95,1,5,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,518.9473585,c 460-520,c 460-520,0.9677567,2.9 +3,4,21165,3,2,2,1,27,2.9,-0.72,67,Y,-0.27,F,7,P,95,1,2,-60,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,558.421041,d 520-580,d 520-580,0.9677567,2.9 +6,7,21167,6,2,7,1,37,2.9,0.27,68,Y,0.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +10,10,21187,10,2,7,3,38,2.9,1.45,67,Y,1.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,10,21195,9,2,7,4,43,2.9,1.08,57,Y,1.63,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +1,1,21207,1,1,7,2,38,2.9,-1.45,69,Y,-1.74,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,4,21220,5,2,7,1,38,2.9,0.04,68,Y,-0.37,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,10,21234,9,2,2,4,41,2.9,1.16,68,Y,1.41,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +4,6,21244,4,2,7,3,37,2.9,-0.32,65,Y,0.1,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +8,8,21261,8,2,7,3,34,2.9,0.62,69,Y,0.74,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +6,6,21274,7,1,7,3,36,2.9,0.27,69,Y,0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +9,8,21391,10,2,7,1,41,2.9,1.3,66,Y,0.65,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +1,2,21392,2,1,6,1,30,2.9,-1.16,64,Y,-0.89,P,7,P,94,1,1,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +1,2,21433,2,2,7,3,34,2.9,-1.17,65,Y,-1.06,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +8,9,21442,8,1,7,3,41,2.9,0.81,54,Y,1.29,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +3,4,21447,3,2,7,1,41,2.9,-0.57,64,Y,-0.42,P,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +,,21457,,1,7,,39,2.9,1.39,58,Y,1.1,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,747.894717,g 700+,g 700-760,0.9677567,2.9 +8,7,21499,8,1,7,1,32,2.9,0.64,64,Y,0.3,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +,,21502,,1,7,1,40,2.9,,61,Y,1.27,P,2,P,96,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,3,21515,4,1,7,1,39,2.9,-0.39,63,Y,-0.75,P,7,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,21527,1,2,7,3,28,2.9,-1.96,67,Y,-2.19,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,574.210514,d 520-580,d 520-580,0.9677567,2.9 +3,2,21548,3,2,7,1,42,2.9,-0.58,65,Y,-0.91,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +9,10,21566,9,2,7,3,43,2.9,1.01,68,Y,1.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,811.052609,g 700+,h 760-820,0.9677567,2.9 +7,6,21587,7,2,3,6,22,2.9,0.4,66,Y,0.12,P,7,P,94,1,4,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,479.473676,c 460-520,c 460-520,0.9677567,2.9 +3,3,21594,4,1,7,4,36,2.9,-0.49,47,Y,-0.62,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,4,21606,4,1,6,3,22.5,2.9,-0.45,68,Y,-0.39,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,487.3684125,c 460-520,c 460-520,0.9677567,2.9 +10,10,21609,10,1,7,4,35,2.9,2.05,58,Y,1.71,P,7,P,95,2,5,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +8,9,21637,8,2,7,3,36,2.9,0.8,63,Y,1.21,F,7,F,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,6,21640,5,2,1,4,43,2.9,-0.02,62,Y,0.06,P,7,P,94,1,5,-55,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +1,1,21649,1,1,6,4,15,2.9,-1.52,65,Y,-1.69,P,7,P,94,1,2,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,368.947365,a under 400,a under 400,0.9677567,2.9 +6,6,21704,7,2,7,3,31,2.9,0.26,64,Y,0.11,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,621.578933,e 580-640,e 580-640,0.9677567,2.9 +4,3,21721,4,2,7,2,33,2.9,-0.32,61,Y,-0.86,P,2,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +9,9,21727,9,2,7,3,34,2.9,1.11,67,Y,0.94,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,2,21736,3,2,7,4,36,2.9,-0.81,69,Y,-1.21,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,3,21762,2,2,7,3,25,2.9,-1.24,25,Y,-0.62,F,7,P,96,1,4,-18,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,526.842095,d 520-580,d 520-580,0.9677567,2.9 +6,5,21822,7,1,7,3,37,2.9,0.26,69,Y,-0.06,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +8,7,21830,8,1,7,1,40,2.9,0.65,52,Y,0.51,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,4,21860,4,2,3,6,32,2.9,-0.57,63,Y,-0.36,F,7,P,95,1,4,-56,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,637.368406,e 580-640,e 580-640,0.9677567,2.9 +1,1,21882,1,2,4,6,34,2.9,-1.65,67,Y,-1.73,F,7,F,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,668.947352,f 640-700,f 640-700,0.9677567,2.9 +4,2,21918,4,2,7,3,34,2.9,-0.36,67,Y,-1.24,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +6,4,21922,6,2,7,4,45,2.9,0.16,69,Y,-0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,842.631555,g 700+,i 820+,0.9677567,2.9 +5,4,21932,5,1,3,3,30,2.9,-0.13,66,Y,-0.47,P,7,P,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +8,3,21938,8,2,7,3,34,2.9,0.66,64,Y,-0.71,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +9,8,21941,9,1,7,1,36,2.9,1.02,62,Y,0.63,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,21975,2,2,7,4,36,2.9,-1.21,69,Y,-1.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,5,22012,7,2,7,3,40,2.9,0.36,51,Y,-0.18,P,7,P,94,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,1,22028,1,1,3,1,23,2.9,-1.44,69,Y,-1.97,P,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,495.263149,c 460-520,c 460-520,0.9677567,2.9 +1,3,22036,2,2,7,3,36,2.9,-1.28,61,Y,-0.77,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,4,22061,4,2,7,4,37,2.9,-0.36,69,Y,-0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,2,22068,5,1,7,3,38,2.9,-0.17,68,Y,-0.92,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,3,22096,3,2,7,1,42,2.9,-0.61,67,Y,-0.81,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +4,4,22117,4,1,7,3,37,2.9,-0.34,65,Y,-0.33,F,7,P,96,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,8,22194,4,1,7,1,37,2.9,-0.24,69,Y,0.59,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,4,22209,3,2,7,3,42,2.9,-0.62,69,Y,-0.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +1,2,22220,1,1,3,4,25,2.9,-1.42,64,Y,-1.19,P,7,P,94,1,2,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,526.842095,d 520-580,d 520-580,0.9677567,2.9 +8,5,22225,8,2,7,2,30,2.9,0.6,67,Y,-0.14,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +,,22239,,1,7,4,43,2.9,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +7,5,22244,7,2,1,3,37,2.9,0.34,58,Y,-0.11,P,7,P,94,1,1,-51,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,3,22261,2,2,7,3,39,2.9,-0.95,69,Y,-0.87,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,10,22276,10,2,7,2,33,2.9,2.3,67,Y,1.98,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +6,7,22294,6,1,7,2,35,2.9,0.13,69,Y,0.25,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,2,22301,6,2,7,2,33,2.9,0.04,61,Y,-1.12,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,4,22310,3,2,7,2,30,2.9,-0.72,69,Y,-0.51,P,2,P,95,2,5,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +6,8,22325,6,1,7,4,36,2.9,0.17,65,Y,0.79,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,4,22354,5,2,7,3,26.5,2.9,-0.03,62,Y,-0.51,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,550.5263045,d 520-580,d 520-580,0.9677567,2.9 +3,3,22361,3,1,7,1,41,2.9,-0.72,66,Y,-0.62,P,2,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,6,22375,6,2,7,3,36,2.9,0.1,63,Y,0.04,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,7,22441,7,1,7,2,34,2.9,0.39,66,Y,0.34,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +5,4,22492,5,2,7,1,42,2.9,-0.13,67,Y,-0.26,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +3,1,22519,4,2,7,3,33,2.9,-0.5,69,Y,-1.38,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,5,22521,4,2,7,2,31.5,2.9,-0.49,67,Y,-0.23,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +8,5,22527,8,2,7,4,37,2.9,0.6,67,Y,-0.13,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +5,5,22532,5,2,7,3,42,2.9,-0.15,52,Y,-0.14,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,4,22549,2,2,3,6,22,2.9,-0.88,45,Y,-0.54,F,7,F,94,1,1,-38,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,479.473676,c 460-520,c 460-520,0.9677567,2.9 +4,2,22557,4,2,1,1,35,2.9,-0.41,66,Y,-1.03,P,7,P,94,1,3,-59,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,4,22560,6,1,7,4,34,2.9,0.05,69,Y,-0.42,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,668.947352,f 640-700,f 640-700,0.9677567,2.9 +,,22575,,2,7,6,40,2.9,,51,Y,,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,5,22578,6,2,2,1,39,2.9,0.2,66,Y,-0.17,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,7,22598,7,2,7,3,39,2.9,0.49,63,Y,0.44,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +6,8,22641,6,2,7,1,38,2.9,0.21,64,Y,0.63,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,6,22681,7,2,7,3,41,2.9,0.37,64,Y,0.26,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +8,8,22684,8,2,7,4,34,2.9,0.78,67,Y,0.77,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,2,22703,2,1,3,1,34,2.9,-1.15,69,Y,-1.14,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +7,6,22718,7,2,7,5,40,2.9,0.6,50,Y,0.04,F,7,F,94,1,4,-43,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +10,10,22733,10,2,7,3,35,2.9,1.94,69,Y,1.76,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +4,6,22762,4,1,7,3,37,2.9,-0.38,67,Y,0.05,P,6,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,3,22765,5,2,7,3,40,2.9,-0.21,69,Y,-0.57,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,1,22779,1,1,6,4,32,2.9,-1.83,68,Y,-2.17,F,7,P,95,1,1,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,2,22787,2,1,6,3,12,2.9,-1.08,67,Y,-1.13,F,7,F,94,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,321.578946,a under 400,a under 400,0.9677567,2.9 +7,5,22803,8,1,7,3,37,2.9,0.52,69,Y,-0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +10,10,22837,10,2,7,3,33,2.9,1.92,68,Y,1.94,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +3,3,22846,3,2,7,3,35,2.9,-0.69,62,Y,-0.87,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,5,22849,3,2,7,6,32.5,2.9,-0.79,67,Y,-0.21,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +,,22851,,1,7,6,25,2.9,,60,Y,,F,7,F,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,526.842095,d 520-580,d 520-580,0.9677567,2.9 +1,2,22855,1,2,7,2,31.5,2.9,-1.79,63,Y,-1.13,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +3,3,22869,4,1,7,2,29.5,2.9,-0.51,66,Y,-0.71,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +9,10,22903,9,2,7,3,43,2.9,1.13,66,Y,1.41,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,811.052609,g 700+,h 760-820,0.9677567,2.9 +2,1,22907,2,2,7,4,35,2.9,-1.14,68,Y,-1.72,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +2,3,22921,3,2,7,3,36,2.9,-0.8,67,Y,-0.86,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,22937,1,2,7,3,34,2.9,-2.06,65,Y,-1.55,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +,,22955,,1,7,3,39,2.9,,55,Y,-0.06,P,2,P,96,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,22990,2,2,7,3,25,2.9,-0.9,69,Y,-1.19,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,526.842095,d 520-580,d 520-580,0.9677567,2.9 +7,8,23006,7,2,7,1,45,2.9,0.46,67,Y,0.62,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,842.631555,g 700+,i 820+,0.9677567,2.9 +2,1,23019,2,2,7,3,34,2.9,-0.94,69,Y,-1.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,2,23049,2,1,3,1,36,2.9,-0.9,63,Y,-1.13,P,7,P,94,1,4,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,3,23069,4,2,7,2,29,2.9,-0.49,57,Y,-0.9,F,7,F,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,589.999987,e 580-640,e 580-640,0.9677567,2.9 +10,10,23074,10,2,7,3,35,2.9,1.74,68,Y,2.22,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +1,3,23092,1,2,7,4,36,2.9,-1.39,46,Y,-0.82,F,2,P,95,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +,,23100,9,2,7,3,37.5,2.9,0.95,63,Y,,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,724.2105075,g 700+,g 700-760,0.9677567,2.9 +1,1,23124,2,2,7,3,39,2.9,-1.2,69,Y,-2,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,23148,2,2,7,3,32,2.9,-0.88,63,Y,-1.17,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +1,2,23157,1,2,2,3,41,2.9,-1.71,69,Y,-1.09,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,4,23175,6,2,7,3,19.5,2.9,0.11,69,Y,-0.33,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,439.9999935,b 400-460,b 400-460,0.9677567,2.9 +4,1,23178,4,2,3,4,30,2.9,-0.26,69,Y,-1.61,F,7,P,96,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,605.78946,e 580-640,e 580-640,0.9677567,2.9 +6,9,23200,6,2,7,1,36,2.9,0.21,46,Y,1.12,P,2,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,2,23214,4,2,4,4,37,2.9,-0.29,67,Y,-1.07,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,2,23217,3,1,7,3,40,2.9,-0.76,66,Y,-1.24,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,7,23247,6,2,7,4,43,2.9,0.09,64,Y,0.47,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,811.052609,g 700+,h 760-820,0.9677567,2.9 +6,7,23289,6,2,7,4,45,2.9,0.22,67,Y,0.41,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,842.631555,g 700+,i 820+,0.9677567,2.9 +6,9,23312,6,2,7,2,30,2.9,0.07,69,Y,0.95,F,7,P,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +6,6,23314,6,2,7,4,41,2.9,0.23,65,Y,0.06,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +2,2,23329,3,1,4,3,29,2.9,-0.82,64,Y,-0.89,F,7,F,94,1,3,-57,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +6,4,23389,6,2,7,1,42,2.9,0.26,66,Y,-0.44,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +6,7,23398,7,1,7,4,41,2.9,0.27,68,Y,0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +2,4,23411,2,2,3,3,29,2.9,-0.98,66,Y,-0.32,P,7,P,95,2,3,-59,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,589.999987,e 580-640,e 580-640,0.9677567,2.9 +8,8,23415,8,2,7,3,33,2.9,0.69,68,Y,0.79,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,7,23463,5,2,7,1,44,2.9,-0.09,69,Y,0.34,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +5,5,23477,5,1,7,4,38,2.9,-0.04,69,Y,-0.03,F,7,F,94,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +1,2,23491,1,1,3,4,37,2.9,-1.7,70,Y,-1.1,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,6,23496,7,2,7,3,42,2.9,0.51,65,Y,0.18,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +,,23506,10,2,8,5,36,2.9,1.77,67,Y,,P,7,P,94,1,2,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,4,23508,5,1,7,4,37,2.9,-0.18,64,Y,-0.51,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,1,23512,2,2,7,1,38,2.9,-1.03,61,Y,-1.94,F,7,F,95,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +7,6,23523,8,1,7,3,32,2.9,0.52,67,Y,0.18,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +10,10,23535,10,2,7,2,37,2.9,1.24,67,Y,1.67,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,1,23542,2,1,7,1,42,2.9,-1,68,Y,-1.83,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,2,23564,3,1,2,1,26,2.9,-0.74,69,Y,-0.93,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,542.631568,d 520-580,d 520-580,0.9677567,2.9 +2,2,23575,2,1,8,5,40,2.9,-0.99,69,Y,-1.14,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,4,23599,5,1,7,3,36,2.9,-0.21,68,Y,-0.54,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,2,23617,4,1,7,2,35,2.9,-0.49,69,Y,-0.98,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,8,23627,8,1,7,3,47,2.9,0.56,68,Y,0.8,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,874.210501,g 700+,i 820+,0.9677567,2.9 +7,7,23669,7,1,7,1,38,2.9,0.41,69,Y,0.51,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +8,8,23682,8,2,7,2,36,2.9,0.71,68,Y,0.73,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,6,23702,4,1,2,3,40,2.9,-0.43,70,Y,0.09,P,7,P,94,1,3,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,4,23741,5,2,7,2,33,2.9,-0.04,65,Y,-0.55,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +2,3,23743,2,1,7,4,27,2.9,-0.96,67,Y,-0.71,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,558.421041,d 520-580,d 520-580,0.9677567,2.9 +4,5,23758,5,2,7,1,42,2.9,-0.18,68,Y,-0.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,1,23788,3,2,5,3,26.5,2.9,-0.81,69,Y,-1.44,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,550.5263045,d 520-580,d 520-580,0.9677567,2.9 +1,1,23798,1,1,3,1,30,2.9,-1.71,69,Y,-2.1,F,2,P,96,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,605.78946,e 580-640,e 580-640,0.9677567,2.9 +8,8,23808,8,2,7,3,39,2.9,0.71,68,Y,0.55,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +9,6,23817,9,2,7,3,33,2.9,0.94,68,Y,0.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +1,2,23829,2,1,7,2,26.5,2.9,-1.07,69,Y,-1.01,P,2,P,94,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,550.5263045,d 520-580,d 520-580,0.9677567,2.9 +9,10,23835,10,2,7,6,32,2.9,1.29,66,Y,1.53,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,6,23846,5,1,7,1,39,2.9,-0.16,69,Y,0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,4,23878,7,2,7,3,37,2.9,0.34,65,Y,-0.46,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,10,23884,9,2,2,2,37,2.9,1.09,60,Y,1.55,P,7,P,94,1,4,-53,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +5,3,23904,5,2,2,4,38,2.9,-0.18,68,Y,-0.61,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,2,23935,3,2,7,3,35,2.9,-0.66,,Y,-0.99,P,7,P,94,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,6,23953,6,2,7,1,41,2.9,0.21,67,Y,0.25,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,6,23960,6,2,7,3,39,2.9,0.08,66,Y,0.1,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,23967,1,1,3,1,34,2.9,-1.62,69,Y,-1.66,P,2,P,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +9,7,23998,9,1,7,3,33,2.9,0.91,67,Y,0.54,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +6,6,24002,6,1,7,2,31.5,2.9,0.07,63,Y,0.12,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +2,2,24044,2,1,7,1,33,2.9,-1.12,69,Y,-0.94,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +8,6,24066,8,2,6,3,26,2.9,0.65,63,Y,0.23,F,7,P,96,2,3,-56,male,1,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,542.631568,d 520-580,d 520-580,0.9677567,2.9 +6,5,24076,7,2,7,3,37,2.9,0.28,68,Y,-0.19,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,1,24084,3,2,4,3,22.7,2.9,-0.74,68,Y,-1.45,F,2,F,96,1,2,-66,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,490.5263071,c 460-520,c 460-520,0.9677567,2.9 +4,3,24128,4,2,7,1,33,2.9,-0.34,65,Y,-0.58,F,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +10,10,24142,10,2,7,3,45,2.9,1.32,68,Y,1.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,842.631555,g 700+,i 820+,0.9677567,2.9 +8,9,24145,8,2,7,3,38,2.9,0.65,69,Y,1.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +9,9,24152,9,1,7,1,28,2.9,1.14,49,Y,1.27,P,7,P,94,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,574.210514,d 520-580,d 520-580,0.9677567,2.9 +1,1,24175,1,2,7,4,40,2.9,-1.45,56,Y,-1.48,F,2,F,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,2,24176,4,2,7,2,34,2.9,-0.48,68,Y,-1.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,1,24186,2,2,7,3,37,2.9,-1.2,69,Y,-1.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +5,4,24197,5,2,3,1,34,2.9,-0.14,65,Y,-0.37,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +9,8,24199,9,2,7,1,44,2.9,1.21,58,Y,0.86,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +1,2,24213,1,2,7,3,39,2.9,-1.41,69,Y,-1.08,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +5,4,24215,5,1,7,3,36,2.9,-0.08,43,Y,-0.39,F,7,F,95,1,1,-36,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +10,10,24259,10,2,7,3,39,2.9,2.03,67,Y,2.17,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +9,8,24276,9,1,7,3,36,2.9,1.12,67,Y,0.84,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +6,8,24286,7,1,7,3,36,2.9,0.27,65,Y,0.73,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +3,6,24293,3,1,2,3,33.5,2.9,-0.58,69,Y,0.14,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,661.0526155,f 640-700,f 640-700,0.9677567,2.9 +6,7,24296,6,2,7,5,43,2.9,0.2,62,Y,0.44,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,811.052609,g 700+,h 760-820,0.9677567,2.9 +8,7,24306,8,1,7,1,37,2.9,0.71,57,Y,0.49,P,2,P,95,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +3,4,24311,3,1,7,1,38,2.9,-0.68,60,Y,-0.44,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,3,24323,3,2,7,1,38,2.9,-0.73,63,Y,-0.71,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +6,6,24337,6,2,7,1,34.5,2.9,0.16,67,Y,0.12,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,676.8420885,f 640-700,f 640-700,0.9677567,2.9 +,,24349,,2,8,1,43,2.9,,67,Y,,P,7,P,94,1,4,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +6,5,24406,6,2,7,1,45,2.9,0.09,69,Y,-0.06,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,842.631555,g 700+,i 820+,0.9677567,2.9 +7,8,24418,7,2,7,3,42,2.9,0.43,66,Y,0.61,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +3,1,24430,3,1,7,1,43,2.9,-0.69,68,Y,-1.56,F,7,F,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +4,2,24437,4,2,7,1,42,2.9,-0.31,69,Y,-0.96,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +7,8,24481,7,2,7,1,40,2.9,0.42,68,Y,0.66,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +6,6,24483,7,1,7,4,39,2.9,0.27,62,Y,0.03,F,7,F,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,24495,1,2,7,3,35,2.9,-1.4,67,Y,-1.32,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +3,2,24504,3,1,3,1,32,2.9,-0.54,69,Y,-1.03,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,8,24510,5,1,7,3,37,2.9,-0.03,64,Y,0.62,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,24527,,2,7,3,37,2.9,,59,Y,,P,7,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +,,24535,9,2,7,5,37.5,2.9,1.04,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,724.2105075,g 700+,g 700-760,0.9677567,2.9 +7,6,24602,8,2,7,1,38,2.9,0.58,68,Y,0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +10,9,24665,10,1,3,4,36,2.9,1.67,69,Y,0.99,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +8,10,24681,8,2,7,3,41,2.9,0.74,69,Y,1.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +1,1,24701,1,1,7,3,37,2.9,-1.51,48,Y,-1.58,F,7,P,95,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,3,24709,2,1,2,1,27,2.9,-0.84,52,Y,-0.69,P,2,P,94,1,3,-50,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,558.421041,d 520-580,d 520-580,0.9677567,2.9 +1,1,24733,1,1,7,1,34,2.9,-1.28,44,Y,-1.58,F,7,P,95,1,3,-37,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +4,2,24737,4,1,7,1,44,2.9,-0.41,67,Y,-1.04,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,826.842082,g 700+,i 820+,0.9677567,2.9 +7,7,24748,8,2,7,3,37,2.9,0.55,68,Y,0.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +2,3,24778,2,2,7,1,40,2.9,-1.14,63,Y,-0.6,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,4,24779,3,2,4,1,32,2.9,-0.59,51,Y,-0.38,P,2,P,94,1,2,-49,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,4,24804,5,2,7,3,42,2.9,-0.03,65,Y,-0.43,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +9,10,24829,9,2,7,3,44,2.9,0.92,60,Y,1.62,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,826.842082,g 700+,i 820+,0.9677567,2.9 +7,8,24834,7,1,7,3,39,2.9,0.51,67,Y,0.72,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +,,24862,,1,3,5,34,2.9,,69,Y,,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,668.947352,f 640-700,f 640-700,0.9677567,2.9 +1,2,24863,1,1,3,5,35,2.9,-1.28,69,Y,-1.22,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,684.736825,f 640-700,f 640-700,0.9677567,2.9 +7,5,24869,7,2,7,3,32,2.9,0.49,67,Y,-0.09,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +5,8,24870,5,2,7,3,32,2.9,-0.08,66,Y,0.82,P,2,P,95,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +4,4,24881,4,1,7,5,39,2.9,-0.43,68,Y,-0.46,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,1,24915,2,2,4,3,29.5,2.9,-0.97,63,Y,-1.58,P,7,P,94,1,3,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +6,2,24932,6,2,7,2,33,2.9,0.14,64,Y,-1.2,F,7,P,96,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +9,9,24952,9,1,7,3,28.5,2.9,1.17,66,Y,1.23,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,582.1052505,e 580-640,e 580-640,0.9677567,2.9 +5,4,24969,5,2,7,3,39,2.9,-0.06,,Y,-0.41,P,7,P,94,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,6,24988,7,2,4,3,36,2.9,0.42,67,Y,0.05,P,7,P,94,1,5,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +4,9,24989,4,2,7,4,37,2.9,-0.33,64,Y,0.92,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,10,25019,9,1,7,3,39,2.9,1.19,69,Y,1.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,6,25021,10,2,7,3,40,2.9,1.36,69,Y,0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,6,25057,4,2,7,3,35,2.9,-0.4,59,Y,-0.01,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,8,25063,9,2,7,1,43,2.9,0.94,66,Y,0.6,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +7,8,25135,7,2,7,1,36,2.9,0.35,66,Y,0.8,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,5,25140,6,1,7,1,41,2.9,0.08,66,Y,-0.2,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +10,9,25179,10,2,7,1,47,2.9,1.59,65,Y,0.97,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,874.210501,g 700+,i 820+,0.9677567,2.9 +3,3,25196,3,2,3,4,32,2.9,-0.56,67,Y,-0.68,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,637.368406,e 580-640,e 580-640,0.9677567,2.9 +3,5,25204,3,2,2,4,38,2.9,-0.75,67,Y,-0.15,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +3,3,25224,3,2,7,1,39,2.9,-0.56,69,Y,-0.73,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +1,1,25229,1,2,7,1,41,2.9,-1.41,68,Y,-1.74,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,7,25230,6,2,7,1,34,2.9,0.21,68,Y,0.4,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,668.947352,f 640-700,f 640-700,0.9677567,2.9 +8,10,25235,8,2,7,2,32,2.9,0.8,69,Y,1.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +3,3,25270,3,2,7,3,29.5,2.9,-0.55,69,Y,-0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.8947235,e 580-640,e 580-640,0.9677567,2.9 +1,2,25281,1,2,4,1,32,2.9,-1.68,65,Y,-1.28,F,2,F,95,1,3,-63,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,637.368406,e 580-640,e 580-640,0.9677567,2.9 +1,1,25351,1,1,3,4,29,2.9,-1.49,67,Y,-1.67,F,2,P,96,1,3,-65,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,589.999987,e 580-640,e 580-640,0.9677567,2.9 +9,9,25383,9,2,7,2,31,2.9,1.12,67,Y,1.29,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +1,1,25399,1,2,3,1,40,2.9,-1.76,67,Y,-1.72,P,7,P,94,1,2,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +3,4,25411,3,2,7,4,34,2.9,-0.55,69,Y,-0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,2,25470,3,2,7,2,32,2.9,-0.87,68,Y,-0.95,P,2,P,95,2,4,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,637.368406,e 580-640,e 580-640,0.9677567,2.9 +2,1,25490,2,1,4,4,35,2.9,-1.07,68,Y,-1.54,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,6,25502,7,2,7,3,36,2.9,0.26,68,Y,0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,3,25510,2,2,7,3,42,2.9,-0.89,67,Y,-0.74,P,2,P,95,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +7,8,25527,7,2,7,1,47,2.9,0.35,69,Y,0.76,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,874.210501,g 700+,i 820+,0.9677567,2.9 +8,7,25533,8,2,7,3,31.5,2.9,0.82,68,Y,0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,629.4736695,e 580-640,e 580-640,0.9677567,2.9 +,,25568,,2,7,3,40,2.9,,46,Y,,P,7,P,95,2,3,-39,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +5,8,25574,6,1,4,3,42,2.9,0.05,54,Y,0.7,P,7,P,94,2,5,-47,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +1,1,25593,1,1,3,3,32,2.9,-1.35,67,Y,-1.99,F,7,F,94,1,1,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +6,7,25627,6,2,8,4,39,2.9,0.17,65,Y,0.44,P,7,P,94,1,3,-58,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +2,2,25629,2,2,7,3,37,2.9,-0.92,67,Y,-0.97,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,7,25630,7,1,7,3,42,2.9,0.26,61,Y,0.51,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,795.263136,g 700+,h 760-820,0.9677567,2.9 +,,25650,1,1,3,3,23.5,2.9,-2.81,69,Y,,F,7,P,96,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,503.1578855,c 460-520,c 460-520,0.9677567,2.9 +7,6,25672,7,1,7,3,36,2.9,0.37,69,Y,0.16,P,7,P,93,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,7,25681,7,2,7,2,41,2.9,0.32,69,Y,0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,7,25687,7,1,7,3,32,2.9,0.47,68,Y,0.33,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.368406,e 580-640,e 580-640,0.9677567,2.9 +8,8,25692,8,2,6,2,35,2.9,0.59,68,Y,0.75,F,7,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,684.736825,f 640-700,f 640-700,0.9677567,2.9 +5,4,25698,5,2,7,4,41,2.9,-0.03,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,7,25711,7,2,7,3,36,2.9,0.48,63,Y,0.53,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +5,5,25756,5,2,7,3,37,2.9,-0.14,69,Y,-0.12,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +6,6,25766,7,1,7,4,41,2.9,0.27,66,Y,0.04,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,9,25795,7,2,7,3,40,2.9,0.4,57,Y,1.02,F,2,P,96,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,763.68419,g 700+,h 760-820,0.9677567,2.9 +4,4,25838,4,2,7,3,33,2.9,-0.38,68,Y,-0.46,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +2,2,25869,3,1,2,3,27,2.9,-0.77,68,Y,-1.16,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,558.421041,d 520-580,d 520-580,0.9677567,2.9 +10,10,25870,10,2,7,1,43,2.9,1.61,64,Y,1.61,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +3,4,25879,3,1,2,1,39,2.9,-0.62,69,Y,-0.53,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +10,10,25890,10,2,7,1,38,2.9,1.9,69,Y,2.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,4,25944,5,2,3,6,21,2.9,-0.05,59,Y,-0.33,F,7,F,95,1,4,-52,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,463.684203,c 460-520,c 460-520,0.9677567,2.9 +8,9,25962,8,2,7,1,46,2.9,0.74,52,Y,1.26,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,858.421028,g 700+,i 820+,0.9677567,2.9 +2,3,25989,2,1,7,3,34,2.9,-0.97,69,Y,-0.86,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.947352,f 640-700,f 640-700,0.9677567,2.9 +6,8,26032,6,2,7,1,42,2.9,0.16,60,Y,0.87,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +,,26051,,2,7,1,38,2.9,,61,Y,,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,5,26088,6,2,7,3,38,2.9,-0.01,68,Y,-0.07,P,2,P,96,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +1,1,26116,1,1,7,1,42,2.9,-1.33,47,Y,-1.38,F,2,P,95,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +2,1,26124,2,1,7,1,40,2.9,-0.89,69,Y,-1.42,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +1,3,26207,2,2,7,3,32.5,2.9,-1.28,64,Y,-0.81,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,645.2631425,f 640-700,f 640-700,0.9677567,2.9 +2,1,26209,2,2,7,2,33,2.9,-0.96,66,Y,-1.49,P,2,P,95,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,653.157879,f 640-700,f 640-700,0.9677567,2.9 +,,26227,3,2,7,3,38,2.9,-0.79,58,Y,,P,7,P,94,1,5,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +6,8,26232,6,1,2,5,41,2.9,0.33,68,Y,0.6,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,779.473663,g 700+,h 760-820,0.9677567,2.9 +7,9,26266,7,1,7,4,41,2.9,0.38,65,Y,0.97,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +6,7,26277,6,2,7,1,47,2.9,0.19,65,Y,0.55,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,874.210501,g 700+,i 820+,0.9677567,2.9 +2,2,26283,3,2,7,3,37,2.9,-0.75,69,Y,-1.17,F,7,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +1,1,26305,1,2,7,1,30.3,2.9,-1.53,68,Y,-1.82,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,610.5263019,e 580-640,e 580-640,0.9677567,2.9 +6,5,26337,6,2,3,4,39,2.9,0.23,68,Y,-0.19,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,6,26339,8,1,7,3,30,2.9,0.55,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.78946,e 580-640,e 580-640,0.9677567,2.9 +5,3,26346,5,2,7,4,38,2.9,0,55,Y,-0.76,F,7,F,95,2,4,-48,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,732.105244,g 700+,g 700-760,0.9677567,2.9 +8,8,26376,9,1,7,3,38,2.9,0.86,68,Y,0.71,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +5,5,26416,5,1,7,2,34,2.9,-0.03,66,Y,-0.26,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +5,4,26474,6,1,7,3,38,2.9,0.03,69,Y,-0.56,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,732.105244,g 700+,g 700-760,0.9677567,2.9 +6,2,26475,6,2,7,2,34,2.9,0.05,50,Y,-1.07,F,7,F,95,1,3,-43,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,668.947352,f 640-700,f 640-700,0.9677567,2.9 +2,3,26491,2,2,7,1,36,2.9,-0.89,67,Y,-0.72,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,9,26492,7,2,7,4,36,2.9,0.45,66,Y,1.14,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,700.526298,g 700+,g 700-760,0.9677567,2.9 +2,3,26497,2,2,7,4,23.7,2.9,-0.93,68,Y,-0.63,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,506.3157801,c 460-520,c 460-520,0.9677567,2.9 +2,2,26532,3,2,7,1,41,2.9,-0.81,65,Y,-0.9,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +9,10,26614,9,2,7,3,33,2.9,1.08,69,Y,1.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,9,26619,5,1,8,1,39,2.9,-0.09,69,Y,1.04,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +8,9,26621,8,2,7,1,40,2.9,0.8,62,Y,0.92,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,763.68419,g 700+,h 760-820,0.9677567,2.9 +,,26681,,1,7,4,42,2.9,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,795.263136,g 700+,h 760-820,0.9677567,2.9 +7,7,26703,7,2,7,3,36,2.9,0.34,66,Y,0.27,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +7,8,26707,7,2,7,2,30,2.9,0.38,66,Y,0.56,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,605.78946,e 580-640,e 580-640,0.9677567,2.9 +3,1,26716,3,1,5,3,16.5,2.9,-0.6,66,Y,-1.32,F,7,P,96,2,3,-59,female,1,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,392.6315745,a under 400,a under 400,0.9677567,2.9 +8,10,26726,8,2,7,3,33,2.9,0.65,64,Y,1.33,P,6,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,653.157879,f 640-700,f 640-700,0.9677567,2.9 +8,10,26730,8,2,7,3,36,2.9,0.59,65,Y,1.68,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,700.526298,g 700+,g 700-760,0.9677567,2.9 +,,26777,,2,7,1,41,2.9,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +9,5,26793,9,2,7,5,41.5,2.9,0.99,64,Y,-0.02,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,787.3683995,g 700+,h 760-820,0.9677567,2.9 +10,10,26796,10,2,7,1,42,2.9,1.82,68,Y,1.79,P,2,P,94,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +,,26812,,1,7,1,41,2.9,,42,Y,,F,7,P,95,1,3,-35,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,779.473663,g 700+,h 760-820,0.9677567,2.9 +1,1,26822,1,1,7,3,25,2.9,-1.46,50,Y,-1.71,P,2,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,526.842095,d 520-580,d 520-580,0.9677567,2.9 +2,1,26836,2,1,7,3,37,2.9,-0.87,68,Y,-1.59,P,2,P,94,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,716.315771,g 700+,g 700-760,0.9677567,2.9 +4,8,26860,4,1,7,4,37.5,2.9,-0.29,64,Y,0.62,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,724.2105075,g 700+,g 700-760,0.9677567,2.9 +1,1,26865,1,2,6,3,24.5,2.9,-2.1,66,Y,-2.48,F,7,P,95,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,518.9473585,c 460-520,c 460-520,0.9677567,2.9 +2,4,26878,3,2,8,2,31,2.9,-0.74,62,Y,-0.46,P,7,P,94,1,3,-55,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,621.578933,e 580-640,e 580-640,0.9677567,2.9 +10,10,26880,10,2,7,4,41,2.9,1.85,59,Y,2,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +2,3,26904,3,2,7,4,41,2.9,-0.8,68,Y,-0.56,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,779.473663,g 700+,h 760-820,0.9677567,2.9 +5,7,26912,6,2,7,5,43,2.9,0.07,61,Y,0.27,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,811.052609,g 700+,h 760-820,0.9677567,2.9 +1,1,26953,1,2,6,4,27.7,2.9,-1.83,68,Y,-1.74,F,7,P,96,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,569.4736721,d 520-580,d 520-580,0.9677567,2.9 +6,8,26964,6,2,7,3,35,2.9,0.15,68,Y,0.79,P,2,P,95,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +9,6,26988,10,2,7,3,41,2.9,1.29,63,Y,0.23,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,779.473663,g 700+,h 760-820,0.9677567,2.9 +9,10,26998,9,1,7,2,37,2.9,1.18,51,Y,1.35,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +9,9,27025,9,2,7,3,35.5,2.9,1.19,65,Y,1.15,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.6315615,f 640-700,f 640-700,0.9677567,2.9 +7,8,27027,7,1,7,1,42,2.9,0.55,69,Y,0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.263136,g 700+,h 760-820,0.9677567,2.9 +8,8,27031,8,1,7,1,37,2.9,0.62,68,Y,0.59,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,5,27057,8,1,3,1,33,2.9,0.58,70,Y,-0.04,F,7,P,95,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,653.157879,f 640-700,f 640-700,0.9677567,2.9 +5,6,27065,5,2,7,3,46,2.9,-0.12,64,Y,0.04,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,858.421028,g 700+,i 820+,0.9677567,2.9 +3,2,27078,3,1,4,4,28,2.9,-0.66,66,Y,-1,F,7,P,95,1,4,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,574.210514,d 520-580,d 520-580,0.9677567,2.9 +4,2,27112,4,2,7,1,41.5,2.9,-0.37,67,Y,-0.89,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,787.3683995,g 700+,h 760-820,0.9677567,2.9 +10,9,27172,10,2,7,1,45,2.9,1.35,64,Y,1.27,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,842.631555,g 700+,i 820+,0.9677567,2.9 +6,5,27221,6,2,7,1,36,2.9,0.28,69,Y,-0.19,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,700.526298,g 700+,g 700-760,0.9677567,2.9 +1,1,27235,1,2,4,1,26.5,2.9,-1.43,69,Y,-2.2,P,2,P,95,1,3,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,550.5263045,d 520-580,d 520-580,0.9677567,2.9 +,,27282,5,2,7,4,33,2.9,-0.06,62,X,,F,2,F,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,653.157879,f 640-700,f 640-700,0.9677567,2.9 +7,1,27301,7,2,7,3,35,2.9,0.51,69,Y,-1.41,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,684.736825,f 640-700,f 640-700,0.9677567,2.9 +6,5,27331,6,2,8,5,41,2.9,0.2,67,Y,-0.18,P,7,P,94,1,5,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,779.473663,g 700+,h 760-820,0.9677567,2.9 +4,4,27339,4,2,7,4,40,2.9,-0.32,68,Y,-0.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,763.68419,g 700+,h 760-820,0.9677567,2.9 +7,9,27364,8,1,7,1,39,2.9,0.59,47,Y,1.14,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,747.894717,g 700+,g 700-760,0.9677567,2.9 +7,7,27376,7,2,7,1,43,2.9,0.5,64,Y,0.44,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,811.052609,g 700+,h 760-820,0.9677567,2.9 +4,8,27422,4,2,7,2,37,2.9,-0.37,52,Y,0.54,P,2,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,716.315771,g 700+,g 700-760,0.9677567,2.9 +7,8,25,8,1,3,6,23,2.8,0.56,64,Y,0.87,P,7,P,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,485.263149,c 460-520,c 460-520,0.9857092,2.8 +4,3,26,5,1,7,3,37,2.8,-0.23,69,Y,-0.72,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,4,28,3,1,3,5,40,2.8,-0.69,65,Y,-0.45,P,7,P,94,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,753.68419,g 700+,g 700-760,0.9857092,2.8 +8,9,91,8,1,3,6,29,2.8,0.81,67,Y,1.37,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,579.999987,d 520-580,d 520-580,0.9857092,2.8 +1,1,127,2,1,7,3,29,2.8,-1.13,55,Y,-1.49,F,7,F,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +6,2,139,6,2,7,3,38,2.8,0.2,68,Y,-1.06,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,5,153,6,1,7,3,34,2.8,0.01,69,Y,-0.13,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +,,155,,1,7,3,41,2.8,,69,Y,-1.78,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,3,175,2,2,7,2,33,2.8,-0.91,69,Y,-0.82,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +5,5,201,5,1,7,1,34,2.8,0.02,52,Y,-0.07,P,7,P,94,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,658.947352,f 640-700,f 640-700,0.9857092,2.8 +,,276,,2,6,4,42,2.8,,69,Y,,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +9,7,289,9,2,3,6,23,2.8,1,67,Y,0.48,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,485.263149,c 460-520,c 460-520,0.9857092,2.8 +9,9,396,9,2,7,2,32.5,2.8,0.94,68,Y,1.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +5,3,436,5,1,7,3,26.5,2.8,-0.12,67,Y,-0.67,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,540.5263045,d 520-580,d 520-580,0.9857092,2.8 +1,1,446,1,1,4,4,38,2.8,-1.84,69,Y,-1.33,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,722.105244,g 700+,g 700-760,0.9857092,2.8 +4,2,450,4,2,7,1,38,2.8,-0.4,68,Y,-1.11,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +7,6,458,7,1,7,3,33,2.8,0.44,62,Y,0.03,P,7,P,94,2,5,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,7,461,9,2,7,2,31,2.8,1.1,69,Y,0.47,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +4,4,524,4,1,7,3,41,2.8,-0.42,69,Y,-0.53,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +6,6,566,6,2,7,3,34,2.8,0.1,64,Y,0.13,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +7,3,576,7,2,7,4,41,2.8,0.35,63,Y,-0.52,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +,,609,,1,1,5,39,2.8,,60,Y,,F,7,P,95,1,3,-53,female,0,0,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,6,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,754,2,2,6,3,24.7,2.8,-1.29,65,Y,-1.52,P,2,P,94,1,3,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,512.1052531,c 460-520,c 460-520,0.9857092,2.8 +1,1,758,1,2,8,1,27,2.8,-1.28,67,Y,-1.79,P,7,P,94,1,3,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,548.421041,d 520-580,d 520-580,0.9857092,2.8 +3,3,763,3,2,7,2,29,2.8,-0.66,63,Y,-0.62,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,579.999987,d 520-580,d 520-580,0.9857092,2.8 +4,4,779,5,2,7,1,32,2.8,-0.21,55,Y,-0.43,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,6,809,5,1,7,1,37,2.8,0.03,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,5,814,3,2,7,3,36,2.8,-0.58,66,Y,-0.05,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,1,819,3,2,7,1,39,2.8,-0.73,65,Y,-1.65,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,829,1,1,2,4,31,2.8,-1.32,67,Y,-2.05,F,7,F,95,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,611.578933,e 580-640,e 580-640,0.9857092,2.8 +1,1,852,2,2,2,3,38,2.8,-1.26,67,Y,-1.86,P,7,P,94,1,2,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +2,4,860,2,2,7,3,32,2.8,-1.02,68,Y,-0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +,,866,,2,8,1,38,2.8,,63,Y,-0.22,P,2,P,96,2,2,-61,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +9,8,897,9,2,7,3,42,2.8,0.87,65,Y,0.82,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +1,1,933,1,2,5,1,29,2.8,-1.32,66,Y,-2.31,F,2,F,95,1,2,-64,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,579.999987,d 520-580,d 520-580,0.9857092,2.8 +4,4,957,4,2,7,3,32.3,2.8,-0.28,64,Y,-0.44,P,7,P,95,2,2,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,632.1052479,e 580-640,e 580-640,0.9857092,2.8 +10,10,969,10,2,7,3,45,2.8,1.42,63,Y,1.56,P,7,P,94,1,1,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.631555,g 700+,i 820+,0.9857092,2.8 +6,5,989,6,2,7,1,40,2.8,0.26,67,Y,-0.15,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +2,1,1010,2,2,7,4,36,2.8,-1.05,69,Y,-1.47,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +6,8,1078,6,1,7,3,37,2.8,0.23,69,Y,0.63,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +7,8,1090,7,2,7,3,33.3,2.8,0.36,62,Y,0.7,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.8947209,f 640-700,f 640-700,0.9857092,2.8 +5,5,1108,5,1,7,1,39,2.8,-0.04,69,Y,-0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +6,2,1152,6,1,4,2,30.5,2.8,0.11,68,Y,-0.91,P,2,P,95,1,5,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,603.6841965,e 580-640,e 580-640,0.9857092,2.8 +7,7,1177,7,2,7,2,38,2.8,0.48,68,Y,0.48,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,3,1187,5,2,7,4,38,2.8,-0.16,63,Y,-0.8,P,7,P,95,2,,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,9,1228,8,2,7,3,33,2.8,0.68,66,Y,0.9,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,8,1234,9,1,7,3,33,2.8,0.97,69,Y,0.56,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +1,2,1250,1,1,1,1,29,2.8,-1.65,54,Y,-1.21,F,7,P,95,1,3,-47,female,0,0,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,4,579.999987,d 520-580,d 520-580,0.9857092,2.8 +,,1276,,2,2,5,40,2.8,,65,Y,,F,2,P,96,1,4,-63,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,3,1289,4,2,7,3,38,2.8,-0.35,69,Y,-0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +3,3,1321,3,2,7,4,34,2.8,-0.67,61,Y,-0.69,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,5,1326,6,1,3,6,25,2.8,0.16,56,Y,-0.22,P,7,P,94,1,1,-49,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,516.842095,c 460-520,c 460-520,0.9857092,2.8 +6,3,1359,6,2,4,1,39,2.8,0.11,62,Y,-0.56,P,7,P,94,1,2,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,1400,1,1,1,4,30,2.8,-1.81,61,Y,-1.81,F,7,F,95,1,2,-54,female,0,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,5,595.78946,e 580-640,e 580-640,0.9857092,2.8 +6,7,1418,6,1,7,2,28.5,2.8,0.05,64,Y,0.35,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,572.1052505,d 520-580,d 520-580,0.9857092,2.8 +4,3,1451,4,2,7,3,35,2.8,-0.35,64,Y,-0.78,P,7,P,94,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,2,1468,2,1,7,1,25,2.8,-0.91,40,Y,-0.95,F,7,P,95,1,2,-33,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,516.842095,c 460-520,c 460-520,0.9857092,2.8 +2,1,1490,2,2,7,3,32.5,2.8,-0.99,69,Y,-1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +2,2,1495,2,2,5,3,34,2.8,-0.86,69,Y,-0.89,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +3,4,1515,3,1,7,4,36,2.8,-0.69,69,Y,-0.48,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +2,1,1574,2,2,7,4,35,2.8,-0.96,66,Y,-1.4,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +1,1,1579,1,2,7,2,34,2.8,-1.47,64,Y,-1.84,P,2,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,6,1624,6,2,7,3,33,2.8,0.08,62,Y,0.13,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +10,9,1631,10,2,7,2,30.5,2.8,1.32,69,Y,1,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,603.6841965,e 580-640,e 580-640,0.9857092,2.8 +10,9,1674,10,2,7,3,35.5,2.8,1.78,62,Y,1.3,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.6315615,f 640-700,f 640-700,0.9857092,2.8 +,,1682,,2,7,,46,2.8,,67,Y,,P,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,848.421028,g 700+,i 820+,0.9857092,2.8 +1,1,1687,1,1,3,3,26,2.8,-1.61,60,Y,-1.99,F,7,F,94,1,4,-53,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,532.631568,d 520-580,d 520-580,0.9857092,2.8 +2,2,1708,3,2,7,3,33,2.8,-0.71,67,Y,-1.26,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,7,1742,9,2,7,1,43,2.8,1.11,69,Y,0.39,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +2,1,1756,2,1,7,2,34,2.8,-0.89,68,Y,-1.29,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +1,1,1766,1,1,7,1,32.7,2.8,-2.5,43,Y,-1.53,P,7,P,94,1,4,-36,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,638.4210371,e 580-640,e 580-640,0.9857092,2.8 +2,5,1782,3,2,7,3,36,2.8,-0.73,69,Y,-0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +7,7,1787,7,2,7,3,37,2.8,0.34,67,Y,0.39,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +8,8,1790,8,2,7,6,35,2.8,0.71,66,Y,0.75,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,674.736825,f 640-700,f 640-700,0.9857092,2.8 +8,7,1821,9,2,7,3,33.5,2.8,0.86,61,Y,0.36,P,2,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +,,1836,6,2,7,3,46,2.8,0.09,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,848.421028,g 700+,i 820+,0.9857092,2.8 +1,1,1877,1,2,7,3,34,2.8,-1.79,62,Y,-1.82,F,7,P,96,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +5,4,1886,5,1,7,3,37,2.8,-0.09,62,Y,-0.52,P,7,P,94,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,1,1963,1,2,3,1,31,2.8,-2.17,54,Y,-2.41,P,7,P,94,1,2,-47,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,611.578933,e 580-640,e 580-640,0.9857092,2.8 +1,1,1982,2,2,7,3,39,2.8,-1.12,67,Y,-1.6,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,3,2009,4,2,7,4,26,2.8,-0.38,65,Y,-0.73,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,532.631568,d 520-580,d 520-580,0.9857092,2.8 +6,7,2042,7,2,7,3,34,2.8,0.26,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +7,7,2047,7,2,7,3,33.5,2.8,0.39,64,Y,0.36,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +4,5,2099,4,2,7,4,31.5,2.8,-0.31,65,Y,-0.19,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,619.4736695,e 580-640,e 580-640,0.9857092,2.8 +7,8,2119,7,2,7,3,36,2.8,0.48,69,Y,0.56,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +5,6,2120,6,1,2,6,30,2.8,0.05,67,Y,0.06,F,7,F,94,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,1,595.78946,e 580-640,e 580-640,0.9857092,2.8 +8,8,2122,8,2,7,3,33,2.8,0.67,67,Y,0.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +7,6,2124,7,2,2,1,47,2.8,0.34,65,Y,0.21,P,2,P,94,1,3,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,864.210501,g 700+,i 820+,0.9857092,2.8 +10,10,2151,10,1,7,6,31,2.8,2.05,66,Y,1.59,F,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,611.578933,e 580-640,e 580-640,0.9857092,2.8 +7,6,2203,7,2,6,1,47,2.8,0.45,61,Y,0.15,P,2,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,864.210501,g 700+,i 820+,0.9857092,2.8 +9,9,2258,9,2,7,2,32,2.8,1.21,68,Y,1.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +3,4,2325,3,2,7,2,36,2.8,-0.72,68,Y,-0.34,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,690.526298,f 640-700,f 640-700,0.9857092,2.8 +6,6,2336,6,2,8,3,27,2.8,0.14,68,Y,0.06,P,7,P,94,1,5,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +4,3,2350,4,2,7,5,40,2.8,-0.35,62,Y,-0.53,P,2,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,753.68419,g 700+,g 700-760,0.9857092,2.8 +5,5,2434,5,1,7,4,41,2.8,-0.07,68,Y,-0.2,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +8,8,2480,8,1,7,3,38,2.8,0.82,69,Y,0.62,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +4,3,2485,4,2,7,4,41,2.8,-0.41,65,Y,-0.66,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +5,9,2496,5,2,7,4,30,2.8,-0.11,64,Y,0.91,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,595.78946,e 580-640,e 580-640,0.9857092,2.8 +6,5,2519,6,1,7,3,37.5,2.8,0.07,66,Y,-0.1,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.2105075,g 700+,g 700-760,0.9857092,2.8 +7,7,2563,7,2,7,1,33,2.8,0.34,54,Y,0.41,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,643.157879,f 640-700,f 640-700,0.9857092,2.8 +5,4,2566,6,2,7,3,33,2.8,0,67,Y,-0.42,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +7,3,2587,7,1,7,3,35,2.8,0.39,69,Y,-0.66,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,3,2620,3,1,7,3,38.5,2.8,-0.76,67,Y,-0.58,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.9999805,g 700+,g 700-760,0.9857092,2.8 +5,6,2637,5,2,7,4,39,2.8,-0.1,68,Y,0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,5,2650,8,2,7,1,40,2.8,0.7,69,Y,-0.23,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +,,2652,,2,7,1,38,2.8,,65,Y,,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +1,1,2668,1,1,6,3,28,2.8,-1.48,69,Y,-1.59,F,7,P,95,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,564.210514,d 520-580,d 520-580,0.9857092,2.8 +6,6,2739,6,2,7,3,38,2.8,0.21,65,Y,0.01,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +3,4,2769,3,1,7,3,29.7,2.8,-0.58,54,Y,-0.55,P,2,P,95,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.0526181,e 580-640,e 580-640,0.9857092,2.8 +1,1,2792,2,2,3,1,28,2.8,-1.15,68,Y,-2.03,F,2,F,94,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,564.210514,d 520-580,d 520-580,0.9857092,2.8 +10,7,2803,10,2,7,3,38,2.8,1.45,67,Y,0.48,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +2,4,2810,2,2,6,3,36,2.8,-1.03,64,Y,-0.54,P,7,P,94,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,2,2820,1,2,7,3,35.5,2.8,-1.52,66,Y,-1.3,P,6,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.6315615,f 640-700,f 640-700,0.9857092,2.8 +3,4,2845,3,2,7,3,36,2.8,-0.56,60,Y,-0.46,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,4,2868,4,2,7,2,37,2.8,-0.51,66,Y,-0.53,F,7,F,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,10,2930,10,2,7,5,44,2.8,1.55,65,Y,1.9,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,816.842082,g 700+,h 760-820,0.9857092,2.8 +3,3,3010,3,2,7,1,37,2.8,-0.54,69,Y,-0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +2,2,3013,3,2,3,3,27,2.8,-0.77,68,Y,-1.03,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +2,4,3068,3,1,7,3,40,2.8,-0.7,64,Y,-0.52,F,7,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +2,2,3105,2,2,3,1,36,2.8,-0.97,67,Y,-1.01,F,7,F,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +9,8,3148,9,1,7,1,47,2.8,0.98,68,Y,0.75,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,864.210501,g 700+,i 820+,0.9857092,2.8 +3,4,3152,4,1,7,3,34,2.8,-0.47,69,Y,-0.54,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,5,3153,6,1,7,3,34,2.8,0.22,69,Y,-0.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +9,8,3164,9,2,7,2,31,2.8,1.01,68,Y,0.67,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,6,3180,3,2,7,3,41.5,2.8,-0.71,66,Y,0.04,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,777.3683995,g 700+,h 760-820,0.9857092,2.8 +7,8,3182,7,2,7,3,39,2.8,0.39,65,Y,0.71,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +2,3,3192,2,2,7,4,42,2.8,-0.94,66,Y,-0.62,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +10,10,3196,10,2,5,3,30,2.8,1.39,68,Y,1.44,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +4,4,3210,4,1,7,2,39,2.8,-0.38,66,Y,-0.48,F,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,3,3225,2,2,7,3,35,2.8,-1.11,65,Y,-0.63,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,3,3252,3,2,7,3,38,2.8,-0.79,62,Y,-0.76,F,2,P,96,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,2,3308,5,1,7,1,38,2.8,-0.14,67,Y,-1.02,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,2,3328,6,2,7,3,35,2.8,0.08,66,Y,-1.16,P,7,P,94,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +4,5,3329,5,2,3,6,28,2.8,-0.09,65,Y,-0.24,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,564.210514,d 520-580,d 520-580,0.9857092,2.8 +2,4,3333,2,2,7,3,33,2.8,-0.9,66,Y,-0.45,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +2,2,3357,2,2,7,3,28.3,2.8,-0.93,66,Y,-0.92,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,568.9473559,d 520-580,d 520-580,0.9857092,2.8 +3,3,3380,3,1,7,4,39,2.8,-0.63,63,Y,-0.52,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,7,3403,8,2,7,2,39,2.8,0.56,67,Y,0.51,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,2,3449,4,2,7,2,32,2.8,-0.37,68,Y,-1.2,F,2,F,96,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +7,7,3464,7,2,7,1,37,2.8,0.37,68,Y,0.44,P,2,P,96,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +4,4,3497,4,2,3,3,32,2.8,-0.29,69,Y,-0.54,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +1,1,3501,1,2,3,1,40,2.8,-1.43,60,Y,-1.48,P,7,P,94,1,3,-53,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +,,3523,,2,5,5,37,2.8,,69,Y,,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,706.315771,g 700+,g 700-760,0.9857092,2.8 +9,7,3546,9,2,7,3,34,2.8,1.11,68,Y,0.53,P,7,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +5,2,3554,6,2,7,2,35,2.8,0.01,67,Y,-0.95,F,7,P,96,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,5,3571,10,2,7,4,37,2.8,1.4,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,9,3601,10,1,7,3,31,2.8,1.71,68,Y,1.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +3,4,3605,4,1,3,6,20,2.8,-0.48,54,Y,-0.47,F,7,F,94,1,1,-47,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,437.89473,b 400-460,b 400-460,0.9857092,2.8 +4,4,3618,4,2,7,3,39,2.8,-0.31,68,Y,-0.39,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +5,6,3663,5,1,7,1,44,2.8,-0.06,61,Y,0.13,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.842082,g 700+,h 760-820,0.9857092,2.8 +1,1,3679,1,1,4,3,30,2.8,-1.48,62,Y,-1.6,F,7,F,94,1,4,-55,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +3,3,3751,3,2,7,2,32,2.8,-0.59,66,Y,-0.81,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +9,9,3758,9,2,7,3,39,2.8,1.04,69,Y,1.22,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,9,3769,8,2,7,3,41,2.8,0.75,68,Y,1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,1,3779,3,1,2,2,36,2.8,-0.81,65,Y,-1.28,P,2,P,95,1,4,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,3,3786,4,2,7,2,32.5,2.8,-0.41,63,Y,-0.83,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +6,6,3836,6,2,7,5,47,2.8,0.29,63,Y,0.26,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,864.210501,g 700+,i 820+,0.9857092,2.8 +,,3845,,2,5,4,37,2.8,,68,Y,,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +8,9,3852,8,2,7,6,38,2.8,0.68,49,Y,1.23,P,7,P,94,1,4,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,722.105244,g 700+,g 700-760,0.9857092,2.8 +9,2,3861,9,2,7,5,34,2.8,1.32,69,Y,-0.93,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,658.947352,f 640-700,f 640-700,0.9857092,2.8 +10,10,3884,10,1,7,3,39,2.8,1.36,68,Y,1.55,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +,,3892,,2,7,5,40,2.8,,59,Y,,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,753.68419,g 700+,g 700-760,0.9857092,2.8 +7,8,3895,7,1,7,4,38,2.8,0.49,57,Y,0.59,P,7,P,94,1,1,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,722.105244,g 700+,g 700-760,0.9857092,2.8 +2,1,3949,2,2,7,1,42,2.8,-0.89,67,Y,-1.39,P,2,P,95,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +2,1,3958,2,2,8,3,33,2.8,-0.97,69,Y,-1.83,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,8,4015,9,2,7,3,33.5,2.8,1.02,68,Y,0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +2,1,4099,2,1,7,3,36,2.8,-0.97,67,Y,-1.63,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,2,4141,1,2,7,3,32,2.8,-1.36,68,Y,-1.17,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,2,4164,5,2,7,3,29,2.8,-0.13,69,Y,-0.95,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +1,1,4184,1,1,4,1,32,2.8,-1.32,67,Y,-1.62,F,7,P,95,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +2,1,4193,2,1,7,1,36,2.8,-1.14,70,Y,-1.55,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +9,7,4194,9,2,6,1,39,2.8,0.98,68,Y,0.4,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +5,6,4261,5,2,7,3,37,2.8,-0.03,59,Y,0.01,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +,,4293,,2,7,6,29,2.8,,48,Y,,P,7,P,94,1,2,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,579.999987,d 520-580,d 520-580,0.9857092,2.8 +2,3,4316,3,2,2,6,30,2.8,-0.69,69,Y,-0.79,F,7,F,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,1,595.78946,e 580-640,e 580-640,0.9857092,2.8 +10,9,4345,10,2,7,3,34,2.8,1.51,66,Y,0.92,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,6,4370,7,2,7,2,30,2.8,0.25,67,Y,0.01,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,595.78946,e 580-640,e 580-640,0.9857092,2.8 +10,9,4407,10,2,7,1,41,2.8,1.68,69,Y,0.97,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,3,4415,3,2,7,3,39,2.8,-0.8,68,Y,-0.81,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +9,9,4439,9,2,7,3,31,2.8,0.97,68,Y,0.95,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +,,4456,2,1,7,3,36.5,2.8,-0.88,67,Y,,P,2,P,96,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.4210345,f 640-700,f 640-700,0.9857092,2.8 +3,2,4482,3,2,2,3,30,2.8,-0.61,66,Y,-1.26,F,2,F,96,2,3,-64,male,1,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +3,5,4538,4,1,3,1,42,2.8,-0.43,69,Y,-0.14,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +5,4,4582,5,2,7,3,33,2.8,-0.1,66,Y,-0.47,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +7,5,4636,7,1,7,1,39,2.8,0.52,67,Y,-0.14,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +2,3,4647,3,1,7,2,30.5,2.8,-0.75,64,Y,-0.86,P,2,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,603.6841965,e 580-640,e 580-640,0.9857092,2.8 +3,2,4654,3,1,7,3,35,2.8,-0.58,47,Y,-1.13,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,2,4695,3,2,7,3,38,2.8,-0.74,56,Y,-1.3,F,7,P,95,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,6,4817,5,2,7,4,34.5,2.8,-0.18,59,Y,0.02,P,2,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +8,6,4818,8,2,7,3,38,2.8,0.66,64,Y,0.03,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,6,4846,7,1,7,3,38,2.8,0.26,65,Y,0.2,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +4,4,4898,4,2,7,5,46,2.8,-0.3,67,Y,-0.45,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,848.421028,g 700+,i 820+,0.9857092,2.8 +5,3,4917,6,2,7,4,43,2.8,0.05,69,Y,-0.62,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,801.052609,g 700+,h 760-820,0.9857092,2.8 +10,10,4920,10,2,7,4,35,2.8,1.31,52,Y,1.43,P,7,P,95,2,2,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +7,7,4976,8,2,7,3,41,2.8,0.56,65,Y,0.45,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +9,10,4981,9,1,7,1,43,2.8,1.08,68,Y,1.93,P,7,P,95,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +5,7,5022,5,2,2,3,27,2.8,-0.11,62,Y,0.55,F,7,P,95,1,2,-55,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +8,8,5026,8,1,7,4,37,2.8,0.8,64,Y,0.84,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +5,2,5031,5,1,4,1,30,2.8,-0.03,67,Y,-0.93,P,2,P,95,1,3,-65,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,595.78946,e 580-640,e 580-640,0.9857092,2.8 +4,6,5071,5,2,7,3,36,2.8,-0.18,67,Y,0.19,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,5,5082,4,2,7,3,36,2.8,-0.44,68,Y,-0.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +5,6,5175,5,2,7,4,36,2.8,-0.07,68,Y,0.09,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,4,5178,3,2,7,3,35,2.8,-0.58,65,Y,-0.38,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +6,5,5292,6,2,7,3,41,2.8,0.2,66,Y,-0.11,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +1,1,5300,1,2,7,3,35,2.8,-1.72,68,Y,-1.61,F,7,F,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,10,5322,10,1,7,6,28.5,2.8,1.49,68,Y,2.73,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,572.1052505,d 520-580,d 520-580,0.9857092,2.8 +3,2,5339,3,2,2,1,39,2.8,-0.6,69,Y,-1.12,F,7,F,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,8,5370,8,1,7,3,39,2.8,0.61,69,Y,0.83,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +,,5429,,1,7,6,33,2.8,,69,Y,,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,643.157879,f 640-700,f 640-700,0.9857092,2.8 +4,3,5436,4,2,7,2,40,2.8,-0.4,69,Y,-0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,753.68419,g 700+,g 700-760,0.9857092,2.8 +5,7,5449,5,2,7,1,37,2.8,-0.09,67,Y,0.45,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +6,7,5542,6,1,2,3,29,2.8,0.08,62,Y,0.28,P,2,P,95,2,3,-60,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +10,9,5549,10,2,7,2,30,2.8,1.68,66,Y,1.06,P,7,P,94,2,5,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,595.78946,e 580-640,e 580-640,0.9857092,2.8 +3,6,5560,3,1,7,4,35,2.8,-0.58,63,Y,0.14,P,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,10,5566,10,2,7,3,41,2.8,1.37,55,Y,1.56,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +6,3,5568,6,2,7,1,37,2.8,0.18,69,Y,-0.62,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +6,7,5570,6,1,7,3,35,2.8,0.15,67,Y,0.54,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,6,5617,4,2,7,3,40,2.8,-0.48,64,Y,0.14,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +5,6,5653,6,2,7,2,32.5,2.8,0,68,Y,-0.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +6,4,5689,6,2,7,3,39,2.8,0.1,67,Y,-0.29,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,3,5803,4,2,4,1,33,2.8,-0.38,68,Y,-0.68,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,643.157879,f 640-700,f 640-700,0.9857092,2.8 +1,1,5810,1,2,3,3,24,2.8,-1.86,62,Y,-1.77,P,2,P,95,1,2,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,501.052622,c 460-520,c 460-520,0.9857092,2.8 +7,6,5819,7,2,7,1,36,2.8,0.42,53,Y,0.22,P,7,P,94,1,4,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,1,5888,5,2,7,3,34,2.8,-0.2,68,Y,-1.43,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +1,1,5940,1,1,7,3,32,2.8,-1.69,54,Y,-1.57,F,7,P,95,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +10,10,5949,10,2,7,1,40,2.8,1.64,67,Y,1.42,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,2,5956,1,2,7,4,29.5,2.8,-1.33,67,Y,-1.1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,587.8947235,e 580-640,e 580-640,0.9857092,2.8 +1,1,5982,1,1,3,3,20.5,2.8,-1.38,68,Y,-1.91,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,445.7894665,b 400-460,b 400-460,0.9857092,2.8 +4,6,5992,4,2,7,4,36,2.8,-0.39,62,Y,0.18,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,1,6034,1,2,6,1,29,2.8,-1.75,69,Y,-2.04,F,2,F,96,1,3,-67,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,579.999987,d 520-580,d 520-580,0.9857092,2.8 +8,6,6042,8,1,7,3,41,2.8,0.66,65,Y,0.01,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +7,6,6043,8,2,7,3,46,2.8,0.54,69,Y,0.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,848.421028,g 700+,i 820+,0.9857092,2.8 +8,10,6103,9,2,7,2,38,2.8,0.83,68,Y,1.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,5,6135,6,2,7,1,36,2.8,0.14,57,Y,-0.02,P,2,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,5,6148,5,1,7,3,38,2.8,-0.2,60,Y,-0.07,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +4,5,6156,5,2,7,3,34,2.8,-0.24,66,Y,-0.21,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +10,10,6165,10,2,7,4,35,2.8,1.54,64,Y,1.48,P,2,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,1,6192,3,2,7,3,38,2.8,-0.73,68,Y,-1.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,5,6215,6,2,7,3,32,2.8,0.16,62,Y,-0.14,P,2,P,95,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +9,5,6254,9,2,7,4,42,2.8,1.26,66,Y,-0.09,F,7,F,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +8,6,6308,8,1,7,1,42,2.8,0.63,66,Y,0.12,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +4,4,6322,4,2,7,3,39,2.8,-0.32,64,Y,-0.4,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +6,5,6359,6,2,7,3,42,2.8,0.13,68,Y,-0.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +7,6,6414,7,2,7,2,34.5,2.8,0.46,67,Y,-0.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +,,6416,,1,7,6,27,2.8,,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,548.421041,d 520-580,d 520-580,0.9857092,2.8 +9,8,6422,9,1,7,3,40,2.8,0.98,68,Y,0.64,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,2,6432,2,2,7,3,36,2.8,-1.13,69,Y,-1.14,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +5,5,6441,5,2,7,1,40,2.8,0.04,66,Y,-0.23,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,1,6456,1,2,3,5,30,2.8,-1.85,65,Y,-1.73,P,7,P,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,595.78946,e 580-640,e 580-640,0.9857092,2.8 +9,8,6475,9,1,7,4,35,2.8,0.97,69,Y,0.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +1,1,6518,1,1,3,2,26,2.8,-1.62,70,Y,-2.23,F,7,F,94,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,532.631568,d 520-580,d 520-580,0.9857092,2.8 +5,8,6578,5,2,7,4,48,2.8,-0.04,63,Y,0.64,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.999974,g 700+,i 820+,0.9857092,2.8 +5,3,6606,5,1,7,3,33.5,2.8,-0.17,68,Y,-0.56,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +2,3,6659,2,2,7,4,45,2.8,-0.97,68,Y,-0.82,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.631555,g 700+,i 820+,0.9857092,2.8 +8,4,6709,8,2,3,6,22,2.8,0.64,46,Y,-0.55,F,2,F,96,1,3,-44,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,469.473676,c 460-520,c 460-520,0.9857092,2.8 +,,6711,,2,7,,30,2.8,-0.09,65,Y,-0.72,F,2,P,95,2,4,-63,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,,595.78946,e 580-640,e 580-640,0.9857092,2.8 +5,2,6720,5,2,7,1,44,2.8,-0.11,67,Y,-0.9,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.842082,g 700+,h 760-820,0.9857092,2.8 +6,7,6813,7,2,7,2,36,2.8,0.24,55,Y,0.52,F,2,P,96,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,2,6898,4,2,7,3,30.7,2.8,-0.43,59,Y,-0.94,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,606.8420911,e 580-640,e 580-640,0.9857092,2.8 +1,3,6902,1,1,4,4,40,2.8,-1.4,68,Y,-0.83,P,2,P,95,1,3,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,5,6924,4,2,7,3,33,2.8,-0.44,69,Y,-0.1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +3,4,6987,3,1,7,3,35,2.8,-0.59,69,Y,-0.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,3,7031,3,2,7,1,30.5,2.8,-0.67,62,Y,-0.86,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,603.6841965,e 580-640,e 580-640,0.9857092,2.8 +1,1,7124,1,2,6,4,41,2.8,-1.51,67,Y,-1.65,F,2,P,95,1,5,-65,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +,,7244,,2,7,1,37,2.8,,50,Y,,P,7,P,95,2,5,-43,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,1,7245,1,1,7,4,32.5,2.8,-1.61,68,Y,-1.85,P,7,P,94,2,5,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +7,4,7262,7,2,7,4,38,2.8,0.45,57,Y,-0.28,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,722.105244,g 700+,g 700-760,0.9857092,2.8 +3,4,7314,3,1,7,1,38,2.8,-0.58,65,Y,-0.52,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +,,7328,,2,7,5,33,2.8,,52,Y,,F,7,P,95,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,643.157879,f 640-700,f 640-700,0.9857092,2.8 +1,1,7368,1,2,3,1,29,2.8,-1.89,69,Y,-2.17,F,7,F,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,579.999987,d 520-580,d 520-580,0.9857092,2.8 +7,10,7401,7,1,2,3,33,2.8,0.31,61,Y,1.53,P,7,P,94,1,2,-54,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +8,6,7404,8,2,7,4,48,2.8,0.62,67,Y,0.24,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.999974,g 700+,i 820+,0.9857092,2.8 +6,6,7405,6,2,7,3,32.5,2.8,0.16,67,Y,0.07,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +9,9,7415,9,2,7,1,40,2.8,0.93,67,Y,1.13,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +,,7472,,2,2,6,27,2.8,,65,Y,,F,7,P,95,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,1,548.421041,d 520-580,d 520-580,0.9857092,2.8 +4,7,7474,4,1,7,3,35,2.8,-0.32,51,Y,0.38,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,4,7481,3,2,7,3,38,2.8,-0.79,69,Y,-0.49,F,7,F,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +7,6,7483,7,1,7,1,39,2.8,0.44,67,Y,0.05,P,2,P,96,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,7501,1,2,7,1,48,2.8,-1.88,61,Y,-1.82,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.999974,g 700+,i 820+,0.9857092,2.8 +5,5,7560,5,2,7,1,42,2.8,-0.08,68,Y,-0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +2,3,7572,2,1,4,3,32.5,2.8,-0.92,64,Y,-0.63,P,7,P,94,1,1,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +4,4,7621,4,2,7,1,43,2.8,-0.26,67,Y,-0.44,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +1,2,7627,1,2,7,3,35,2.8,-1.7,69,Y,-1.16,F,7,F,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +1,1,7673,1,1,3,1,23,2.8,-2.23,67,Y,-2.2,F,7,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,485.263149,c 460-520,c 460-520,0.9857092,2.8 +9,7,7734,9,2,7,4,44,2.8,0.96,70,Y,0.48,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.842082,g 700+,h 760-820,0.9857092,2.8 +2,1,7739,2,1,7,3,37.5,2.8,-0.87,68,Y,-1.55,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.2105075,g 700+,g 700-760,0.9857092,2.8 +2,3,7776,2,2,7,3,41,2.8,-0.95,67,Y,-0.74,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +4,2,7777,5,2,6,1,33.5,2.8,-0.22,67,Y,-1.03,F,7,P,95,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +8,8,7781,8,2,7,3,40,2.8,0.75,64,Y,0.71,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,5,7807,3,1,7,3,38,2.8,-0.66,65,Y,-0.06,F,2,F,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +1,2,7810,1,2,7,1,38,2.8,-1.72,66,Y,-0.9,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,6,7834,5,2,7,1,38,2.8,-0.11,69,Y,0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,8,7849,8,2,7,2,37,2.8,0.71,69,Y,0.54,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,10,7857,10,2,7,2,42,2.8,2.28,63,Y,2.33,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,785.263136,g 700+,h 760-820,0.9857092,2.8 +4,3,7863,4,2,4,1,34,2.8,-0.26,68,Y,-0.6,P,7,P,94,1,5,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,658.947352,f 640-700,f 640-700,0.9857092,2.8 +8,9,7865,8,2,7,3,37,2.8,0.77,65,Y,1.12,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +7,6,7870,7,2,7,3,38,2.8,0.44,68,Y,0.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +1,2,7887,2,2,7,3,36,2.8,-1.19,67,Y,-1.06,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +9,7,7907,9,2,7,3,32,2.8,0.98,58,Y,0.49,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +6,5,7935,6,2,7,3,31,2.8,0.2,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +9,6,7941,9,2,7,2,26.3,2.8,0.92,67,Y,0.14,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,537.3684099,d 520-580,d 520-580,0.9857092,2.8 +10,10,7968,10,1,7,2,35,2.8,1.57,66,Y,1.35,F,7,F,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,7,7971,5,2,7,3,33,2.8,-0.07,61,Y,0.37,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +6,5,8006,7,2,7,3,23.7,2.8,0.28,68,Y,-0.16,F,2,F,95,2,4,-66,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,496.3157801,c 460-520,c 460-520,0.9857092,2.8 +5,4,8057,5,2,7,3,33,2.8,-0.04,69,Y,-0.47,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +8,6,8068,8,2,7,1,38,2.8,0.77,69,Y,0.17,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,5,8073,6,2,7,3,38,2.8,0.21,64,Y,-0.09,P,2,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,4,8090,5,2,7,2,33,2.8,-0.16,67,Y,-0.33,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,10,8107,9,2,8,3,31.5,2.8,1.09,64,Y,1.51,P,7,P,94,1,4,-57,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,619.4736695,e 580-640,e 580-640,0.9857092,2.8 +10,7,8120,10,1,7,1,33,2.8,2.79,58,Y,0.46,P,7,P,94,1,1,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,643.157879,f 640-700,f 640-700,0.9857092,2.8 +10,10,8122,10,2,7,3,40,2.8,1.49,68,Y,1.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,2,8147,3,2,7,1,40,2.8,-0.72,69,Y,-1.18,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +8,7,8152,8,2,7,3,37,2.8,0.59,68,Y,0.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +8,7,8157,8,2,7,2,36,2.8,0.68,67,Y,0.38,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,690.526298,f 640-700,f 640-700,0.9857092,2.8 +,,8175,,1,2,5,33,2.8,,67,Y,,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,643.157879,f 640-700,f 640-700,0.9857092,2.8 +8,7,8190,8,2,7,2,32,2.8,0.71,67,Y,0.32,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,5,8232,5,1,7,3,27,2.8,-0.16,68,Y,-0.1,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +3,2,8263,4,1,7,3,42,2.8,-0.5,66,Y,-0.89,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +5,3,8266,5,1,2,3,34,2.8,-0.13,66,Y,-0.58,P,7,P,94,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,8,8274,6,1,7,4,33,2.8,0.21,68,Y,0.54,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,643.157879,f 640-700,f 640-700,0.9857092,2.8 +8,10,8326,9,2,7,1,42,2.8,0.88,65,Y,1.36,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +2,2,8343,2,1,2,3,33,2.8,-0.89,65,Y,-1,P,7,P,94,1,5,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +8,5,8352,8,2,7,4,45,2.8,0.84,67,Y,0,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.631555,g 700+,i 820+,0.9857092,2.8 +7,7,8353,7,2,7,2,33,2.8,0.32,68,Y,0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +5,3,8363,5,1,7,3,36,2.8,-0.1,67,Y,-0.64,P,2,P,96,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +6,6,8366,6,1,7,1,41,2.8,0.11,65,Y,0.08,P,2,P,95,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +6,8,8391,7,1,7,3,36,2.8,0.26,68,Y,0.79,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +8,7,8463,8,2,7,1,41,2.8,0.84,68,Y,0.52,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +7,3,8466,7,1,6,4,41,2.8,0.42,59,Y,-0.61,P,7,P,95,2,3,-52,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +7,4,8478,7,2,7,3,37,2.8,0.4,56,Y,-0.29,P,2,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +4,2,8516,4,1,7,3,36,2.8,-0.26,68,Y,-0.9,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +7,6,8539,7,2,7,3,33,2.8,0.46,67,Y,0.17,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +2,6,8602,2,2,7,3,33,2.8,-0.89,68,Y,0.14,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +5,5,8676,5,1,7,3,34,2.8,-0.11,68,Y,-0.12,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +10,10,8685,10,2,7,2,38,2.8,1.83,68,Y,1.81,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,722.105244,g 700+,g 700-760,0.9857092,2.8 +9,8,8693,9,2,7,3,35,2.8,1.22,67,Y,0.7,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +9,6,8707,9,2,2,3,35,2.8,0.96,68,Y,0.05,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +4,3,8772,4,2,7,2,32,2.8,-0.34,63,Y,-0.67,F,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +10,10,8777,10,2,7,3,38,2.8,1.32,69,Y,1.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,7,8795,8,1,7,3,37,2.8,0.72,67,Y,0.44,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +5,5,8827,6,1,7,1,48,2.8,0.08,48,Y,-0.23,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.999974,g 700+,i 820+,0.9857092,2.8 +10,9,8840,10,2,7,3,34,2.8,1.92,69,Y,1.19,P,2,P,95,2,4,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +1,1,8912,2,2,3,3,32,2.8,-1.11,62,Y,-1.42,P,7,P,94,1,4,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +,,8992,2,1,2,3,27,2.8,-1.18,68,X,,F,2,F,96,1,2,-66,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +1,1,9005,1,1,3,1,35,2.8,-1.56,69,Y,-2.1,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,10,9021,10,2,7,3,35,2.8,2.09,66,Y,2.45,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +,,9056,,2,7,6,28,2.8,,59,Y,,F,7,P,95,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,564.210514,d 520-580,d 520-580,0.9857092,2.8 +4,6,9100,4,2,7,3,37,2.8,-0.32,68,Y,0.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,3,9108,3,1,3,2,27,2.8,-0.66,70,Y,-0.79,P,7,P,94,1,1,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,548.421041,d 520-580,d 520-580,0.9857092,2.8 +2,1,9137,2,2,3,1,24,2.8,-0.82,68,Y,-1.39,P,7,P,94,1,,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,501.052622,c 460-520,c 460-520,0.9857092,2.8 +3,3,9148,3,2,7,2,31,2.8,-0.68,69,Y,-0.87,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +4,1,9161,4,2,7,2,33,2.8,-0.42,57,Y,-1.31,F,7,P,95,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +10,10,9170,10,2,7,1,46,2.8,1.91,60,Y,1.63,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,848.421028,g 700+,i 820+,0.9857092,2.8 +7,8,9183,7,1,7,3,39,2.8,0.36,61,Y,0.61,P,7,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,9203,2,2,7,3,36,2.8,-1.19,66,Y,-1.89,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +2,4,9236,3,2,7,1,42,2.8,-0.75,68,Y,-0.47,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +3,4,9315,3,2,7,3,35,2.8,-0.65,68,Y,-0.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +8,8,9316,8,1,7,3,40,2.8,0.64,66,Y,0.84,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,6,9364,4,2,4,6,31,2.8,-0.56,64,Y,0.01,P,7,P,94,1,,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,611.578933,e 580-640,e 580-640,0.9857092,2.8 +1,1,9397,1,2,7,3,33,2.8,-1.32,69,Y,-1.74,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +8,8,9447,8,2,7,3,44,2.8,0.65,67,Y,0.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.842082,g 700+,h 760-820,0.9857092,2.8 +4,1,9526,5,2,4,3,31,2.8,-0.23,67,Y,-2.15,F,2,F,95,1,3,-65,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +6,6,9540,6,1,7,1,35,2.8,0.14,68,Y,0.07,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +7,7,9545,7,2,7,1,33,2.8,0.49,69,Y,0.36,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,643.157879,f 640-700,f 640-700,0.9857092,2.8 +4,3,9597,4,1,2,3,30,2.8,-0.32,68,Y,-0.72,F,2,F,94,1,1,-66,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +2,1,9603,2,1,7,2,32.5,2.8,-0.94,67,Y,-1.4,P,2,P,95,2,3,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +9,9,9629,9,2,7,5,42,2.8,1.23,61,Y,0.95,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,785.263136,g 700+,h 760-820,0.9857092,2.8 +9,9,9680,9,1,7,3,40,2.8,1.16,67,Y,0.87,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,4,9681,5,1,7,3,41,2.8,-0.2,69,Y,-0.33,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +1,1,9713,1,1,7,3,31,2.8,-1.38,69,Y,-1.58,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,2,9725,2,1,3,1,35,2.8,-0.87,69,Y,-1.31,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,2,9727,5,1,3,4,34,2.8,-0.14,42,Y,-0.87,F,7,P,96,1,4,-35,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,5,9729,6,2,7,3,36.5,2.8,0.06,68,Y,-0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.4210345,f 640-700,f 640-700,0.9857092,2.8 +1,1,9739,1,1,8,2,34,2.8,-1.6,67,Y,-1.39,P,7,P,94,1,2,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +4,2,9761,4,2,4,1,31,2.8,-0.41,69,Y,-0.99,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,4,9765,2,1,7,1,37.5,2.8,-0.82,48,Y,-0.33,P,2,P,95,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.2105075,g 700+,g 700-760,0.9857092,2.8 +3,5,9766,3,1,7,3,40,2.8,-0.59,57,Y,-0.27,F,2,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,1,9786,1,2,7,1,44,2.8,-1.38,65,Y,-1.72,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.842082,g 700+,h 760-820,0.9857092,2.8 +3,3,9842,3,2,7,3,37,2.8,-0.66,66,Y,-0.63,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +9,9,9893,9,2,7,4,34,2.8,1.23,65,Y,0.99,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,658.947352,f 640-700,f 640-700,0.9857092,2.8 +5,4,9906,6,2,3,6,31,2.8,0.02,69,Y,-0.34,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,2,9960,3,1,3,1,35,2.8,-0.77,65,Y,-1.24,P,7,P,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,7,9985,5,1,7,3,45,2.8,-0.14,62,Y,0.41,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.631555,g 700+,i 820+,0.9857092,2.8 +7,7,9998,7,1,7,4,37,2.8,0.54,68,Y,0.46,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +4,5,10026,4,1,7,3,40,2.8,-0.41,68,Y,-0.26,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +7,4,10031,7,1,7,1,37,2.8,0.34,67,Y,-0.37,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +2,1,10050,2,2,7,3,37,2.8,-1.04,69,Y,-1.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +8,8,10069,8,1,7,1,43,2.8,0.66,61,Y,0.75,P,7,P,95,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +8,5,10074,8,2,7,1,41,2.8,0.81,68,Y,-0.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +9,9,10116,9,2,7,3,43,2.8,1.03,67,Y,1.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,801.052609,g 700+,h 760-820,0.9857092,2.8 +8,6,10117,8,2,7,3,31,2.8,0.68,62,Y,0.23,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +5,5,10180,5,2,7,1,45,2.8,-0.08,68,Y,-0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.631555,g 700+,i 820+,0.9857092,2.8 +7,9,10185,7,1,7,3,45,2.8,0.48,65,Y,0.88,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.631555,g 700+,i 820+,0.9857092,2.8 +6,6,10186,6,2,7,1,45,2.8,0.22,59,Y,0.26,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.631555,g 700+,i 820+,0.9857092,2.8 +8,7,10195,9,2,7,3,35,2.8,0.84,62,Y,0.47,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,5,10226,2,1,7,3,32,2.8,-0.85,68,Y,-0.16,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +7,8,10250,7,1,7,1,37,2.8,0.42,67,Y,0.58,P,2,P,95,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,2,10290,1,2,7,3,27,2.8,-1.3,67,Y,-1.08,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +9,9,10297,9,2,7,2,34.5,2.8,1.03,65,Y,1.03,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +7,2,10322,8,2,7,3,34,2.8,0.53,69,Y,-1.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +2,4,10329,2,2,7,1,39.5,2.8,-1.05,64,Y,-0.31,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,745.7894535,g 700+,g 700-760,0.9857092,2.8 +1,1,10365,1,2,7,3,38,2.8,-1.39,69,Y,-1.94,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,8,10371,8,1,7,3,37,2.8,0.72,39,Y,0.73,P,7,P,94,1,2,-32,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,9,10382,10,1,7,3,33,2.8,1.36,69,Y,1.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +1,1,10392,1,1,3,3,32,2.8,-2.31,67,Y,-2.15,P,2,P,95,1,4,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +2,1,10397,2,2,7,4,40,2.8,-0.98,68,Y,-1.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,2,10482,3,1,3,3,30,2.8,-0.55,69,Y,-1.14,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +4,3,10500,4,2,7,4,39,2.8,-0.38,63,Y,-0.54,P,7,P,95,1,,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,8,10524,8,1,7,3,42,2.8,0.73,68,Y,0.56,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +4,5,10532,4,1,7,4,30.5,2.8,-0.43,69,Y,-0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,603.6841965,e 580-640,e 580-640,0.9857092,2.8 +8,7,10549,8,2,7,1,35,2.8,0.63,65,Y,0.37,P,2,P,95,2,4,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +,,10583,,2,3,5,33,2.8,,50,Y,,P,7,P,94,1,1,-43,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,643.157879,f 640-700,f 640-700,0.9857092,2.8 +10,9,10592,10,2,7,2,38,2.8,1.26,66,Y,1.11,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,722.105244,g 700+,g 700-760,0.9857092,2.8 +10,8,10597,10,2,7,3,41,2.8,1.51,68,Y,0.82,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,2,10612,2,2,7,4,41,2.8,-1.14,46,Y,-1.02,P,2,P,96,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +3,5,10622,4,2,7,3,39,2.8,-0.49,63,Y,-0.17,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +2,4,10639,2,1,7,3,38,2.8,-0.91,69,Y,-0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,6,10661,5,2,7,3,44,2.8,-0.07,70,Y,0.16,P,7,P,95,2,4,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.842082,g 700+,h 760-820,0.9857092,2.8 +4,7,10689,4,1,7,3,32.5,2.8,-0.28,67,Y,0.32,F,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +1,1,10697,1,2,3,4,34,2.8,-1.63,68,Y,-1.45,F,2,F,95,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,658.947352,f 640-700,f 640-700,0.9857092,2.8 +5,5,10743,5,2,7,3,36,2.8,-0.03,69,Y,-0.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +9,8,10787,9,2,7,3,33,2.8,0.97,68,Y,0.81,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +3,3,10838,3,1,7,3,34,2.8,-0.63,68,Y,-0.81,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +5,7,10861,5,2,7,1,39.7,2.8,-0.05,67,Y,0.32,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.9473481,g 700+,g 700-760,0.9857092,2.8 +6,4,10870,6,1,7,3,39,2.8,0.2,68,Y,-0.5,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,5,10881,4,1,7,2,34,2.8,-0.35,61,Y,-0.17,P,2,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +2,3,10929,3,2,2,3,40,2.8,-0.83,68,Y,-0.72,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +6,5,10942,6,1,7,3,39,2.8,0.18,69,Y,-0.27,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +10,10,10957,10,2,7,3,41,2.8,1.7,63,Y,1.9,P,2,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,2,10961,2,2,7,4,42,2.8,-0.92,14,Y,-1.15,P,7,P,94,1,5,-7,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +5,4,10979,5,1,7,4,36,2.8,-0.19,67,Y,-0.47,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,2,11004,4,1,7,3,37,2.8,-0.48,67,Y,-1.13,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,3,11031,3,2,7,4,47,2.8,-0.58,64,Y,-0.68,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,864.210501,g 700+,i 820+,0.9857092,2.8 +1,1,11032,1,2,4,3,25,2.8,-1.58,65,Y,-1.38,F,7,F,95,2,3,-58,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,516.842095,c 460-520,c 460-520,0.9857092,2.8 +2,2,11034,2,2,4,4,32,2.8,-1.1,67,Y,-1.3,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,627.368406,e 580-640,e 580-640,0.9857092,2.8 +2,2,11084,2,1,7,3,33,2.8,-1.02,59,Y,-1.3,F,2,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +10,9,11096,10,2,7,3,40,2.8,1.42,67,Y,1.02,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +5,4,11111,5,2,8,3,33,2.8,-0.12,67,Y,-0.43,P,7,P,94,1,4,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +3,5,11115,4,2,7,6,30,2.8,-0.52,68,Y,-0.2,F,7,F,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,595.78946,e 580-640,e 580-640,0.9857092,2.8 +10,10,11137,10,1,7,6,25.5,2.8,2.09,56,Y,2.04,P,2,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,524.7368315,d 520-580,d 520-580,0.9857092,2.8 +1,1,11186,1,2,4,1,36,2.8,-1.52,69,Y,-1.56,F,7,P,95,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,2,11222,3,1,7,3,36.5,2.8,-0.66,65,Y,-0.93,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,698.4210345,f 640-700,f 640-700,0.9857092,2.8 +5,3,11295,5,1,7,2,33,2.8,-0.13,68,Y,-0.73,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +4,5,11315,4,2,7,2,34,2.8,-0.36,67,Y,-0.19,F,7,P,95,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +1,1,11334,1,1,3,1,26.5,2.8,-2.14,69,Y,-1.4,F,2,P,96,1,2,-67,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,540.5263045,d 520-580,d 520-580,0.9857092,2.8 +3,6,11359,3,1,6,5,34,2.8,-0.59,68,Y,0.24,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,658.947352,f 640-700,f 640-700,0.9857092,2.8 +4,3,11362,4,2,4,3,35,2.8,-0.37,65,Y,-0.61,P,7,P,94,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +9,9,11364,9,2,7,1,45,2.8,1.03,66,Y,1.08,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.631555,g 700+,i 820+,0.9857092,2.8 +1,1,11366,1,2,4,3,31,2.8,-1.42,68,Y,-1.62,F,7,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +4,5,11375,5,2,7,3,40,2.8,-0.2,61,Y,-0.11,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,3,11380,3,2,7,4,26.5,2.8,-0.67,55,Y,-0.69,P,7,P,95,2,2,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,540.5263045,d 520-580,d 520-580,0.9857092,2.8 +7,7,11491,7,2,7,2,31,2.8,0.44,66,Y,0.27,P,2,P,95,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,1,11522,2,1,3,4,26,2.8,-1.07,69,Y,-1.82,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,532.631568,d 520-580,d 520-580,0.9857092,2.8 +5,8,11555,5,2,7,4,38,2.8,-0.1,62,Y,0.55,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,722.105244,g 700+,g 700-760,0.9857092,2.8 +1,2,11588,1,2,7,3,31,2.8,-1.31,56,Y,-1.26,P,2,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +8,9,11591,8,2,7,3,33,2.8,0.75,68,Y,1.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,10,11635,9,1,7,4,36,2.8,1.07,66,Y,1.39,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +6,3,11636,6,2,7,4,46,2.8,0.06,69,Y,-0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,848.421028,g 700+,i 820+,0.9857092,2.8 +4,1,11650,5,2,7,1,34.3,2.8,-0.21,66,Y,-1.59,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,663.6841939,f 640-700,f 640-700,0.9857092,2.8 +8,8,11654,8,2,2,3,31.5,2.8,0.82,64,Y,0.68,P,2,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,619.4736695,e 580-640,e 580-640,0.9857092,2.8 +4,6,11787,4,2,7,6,39,2.8,-0.31,65,Y,0.12,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,5,11807,8,2,7,3,37,2.8,0.63,69,Y,-0.21,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +7,6,11809,7,2,7,1,39,2.8,0.34,65,Y,0.17,P,7,P,93,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +6,6,11818,6,1,7,3,30,2.8,0.2,68,Y,0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +4,4,11965,5,2,7,3,39,2.8,-0.19,64,Y,-0.48,F,7,P,96,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +9,9,11979,10,1,7,3,42,2.8,1.27,65,Y,0.88,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +1,1,12025,1,2,3,1,28,2.8,-1.63,64,Y,-2.09,F,7,F,94,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,564.210514,d 520-580,d 520-580,0.9857092,2.8 +7,7,12072,7,2,7,1,36,2.8,0.4,63,Y,0.35,P,2,P,96,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,3,12077,4,1,7,1,41,2.8,-0.24,67,Y,-0.56,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +4,4,12111,4,1,7,1,37,2.8,-0.34,61,Y,-0.36,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +9,9,12124,9,2,7,3,35,2.8,0.87,68,Y,0.9,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +6,8,12125,6,2,7,6,39,2.8,0.18,47,Y,0.71,P,7,P,94,1,2,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,737.894717,g 700+,g 700-760,0.9857092,2.8 +5,4,12150,5,1,7,3,36,2.8,-0.17,68,Y,-0.49,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +,,12164,,2,7,4,37,2.8,,63,Y,,F,7,F,95,2,2,-56,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,1,12217,1,2,7,2,38,2.8,-1.81,68,Y,-1.55,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,8,12235,8,2,7,1,38,2.8,0.7,69,Y,0.59,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,9,12246,8,2,7,3,45,2.8,0.76,65,Y,1.07,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.631555,g 700+,i 820+,0.9857092,2.8 +9,9,12251,9,1,7,3,41,2.8,1.04,65,Y,0.94,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +1,1,12255,2,1,5,3,20.5,2.8,-1.19,68,Y,-1.77,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,445.7894665,b 400-460,b 400-460,0.9857092,2.8 +10,10,12264,10,1,7,4,39,2.8,1.82,64,Y,2.38,P,7,P,95,2,2,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +5,5,12301,5,1,3,5,42,2.8,0.02,65,Y,-0.17,P,7,P,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,785.263136,g 700+,h 760-820,0.9857092,2.8 +7,9,12312,7,2,7,1,42,2.8,0.54,64,Y,0.88,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +3,3,12376,3,1,3,1,34,2.8,-0.69,67,Y,-0.79,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,658.947352,f 640-700,f 640-700,0.9857092,2.8 +5,7,12423,5,1,7,3,39,2.8,-0.14,64,Y,0.29,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,5,12426,4,2,2,3,31,2.8,-0.3,68,Y,-0.23,P,7,P,94,1,1,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +7,7,12428,7,1,7,3,38,2.8,0.52,57,Y,0.38,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,7,12447,9,2,7,2,33,2.8,0.83,66,Y,0.38,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +6,5,12451,6,2,7,3,32,2.8,0.22,68,Y,-0.25,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +10,10,12464,10,1,7,1,41,2.8,1.43,68,Y,1.34,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +5,3,12471,5,1,7,4,31,2.8,-0.01,49,Y,-0.82,F,7,P,96,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,611.578933,e 580-640,e 580-640,0.9857092,2.8 +6,9,12473,6,1,7,3,32.5,2.8,0.08,51,Y,1,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +2,1,12541,3,2,7,1,30.5,2.8,-0.76,63,Y,-1.42,F,2,F,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,603.6841965,e 580-640,e 580-640,0.9857092,2.8 +5,3,12564,5,2,7,3,40,2.8,-0.15,54,Y,-0.56,P,2,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +2,2,12569,2,2,7,3,35,2.8,-1.1,65,Y,-1.29,F,7,F,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +9,10,12589,9,2,7,3,37,2.8,1.19,68,Y,1.7,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,10,12634,10,1,7,3,42,2.8,1.42,66,Y,1.85,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +4,3,12665,5,2,7,4,37,2.8,-0.24,66,Y,-0.56,P,7,P,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,5,12687,10,2,7,1,37,2.8,1.32,69,Y,-0.12,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +4,3,12690,4,2,7,1,45,2.8,-0.4,62,Y,-0.58,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.631555,g 700+,i 820+,0.9857092,2.8 +2,3,12712,3,1,7,3,35,2.8,-0.84,69,Y,-0.77,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +9,10,12754,10,2,7,3,40,2.8,1.27,68,Y,1.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,2,12789,1,1,7,3,34,2.8,-1.42,66,Y,-1.29,F,7,F,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +8,7,12836,8,2,7,1,29.7,2.8,0.63,65,Y,0.41,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,591.0526181,e 580-640,e 580-640,0.9857092,2.8 +1,1,12883,1,1,3,1,26,2.8,-2.02,68,Y,-1.46,F,7,P,95,2,3,-61,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,532.631568,d 520-580,d 520-580,0.9857092,2.8 +,,12888,,2,7,,21.5,2.8,0.4,63,Y,0.3,P,2,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,461.5789395,c 460-520,c 460-520,0.9857092,2.8 +2,3,12927,3,2,7,3,38,2.8,-0.81,65,Y,-0.83,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,8,12983,5,1,7,3,36,2.8,-0.07,67,Y,0.84,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +8,10,13026,8,2,7,4,37,2.8,0.71,68,Y,1.31,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +5,8,13042,5,1,7,1,44,2.8,0.02,65,Y,0.78,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.842082,g 700+,h 760-820,0.9857092,2.8 +4,3,13047,4,2,7,1,48,2.8,-0.25,67,Y,-0.69,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.999974,g 700+,i 820+,0.9857092,2.8 +6,6,13087,7,1,7,3,40,2.8,0.26,69,Y,0.23,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +2,2,13105,2,2,7,4,44,2.8,-1.07,61,Y,-0.99,F,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,816.842082,g 700+,h 760-820,0.9857092,2.8 +2,2,13162,2,1,6,4,16,2.8,-0.9,67,Y,-1.17,F,7,F,94,1,,-60,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,374.736838,a under 400,a under 400,0.9857092,2.8 +1,1,13215,1,1,7,2,26.5,2.8,-1.29,63,Y,-1.9,F,7,F,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,540.5263045,d 520-580,d 520-580,0.9857092,2.8 +1,1,13232,1,2,7,3,40,2.8,-1.66,69,Y,-1.79,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +2,2,13264,2,1,3,1,32,2.8,-0.89,59,Y,-1.14,P,7,P,94,1,3,-52,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +9,10,13320,9,1,3,6,37,2.8,0.93,68,Y,1.56,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,706.315771,g 700+,g 700-760,0.9857092,2.8 +4,4,13361,4,1,7,1,37,2.8,-0.29,69,Y,-0.35,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +8,8,13441,8,2,7,3,40,2.8,0.59,67,Y,0.72,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +10,10,13479,10,2,7,5,40,2.8,3.11,61,Y,2.12,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,3,13497,5,1,7,1,40,2.8,-0.2,65,Y,-0.71,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +10,10,13522,10,1,7,1,37.5,2.8,1.9,59,Y,1.66,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.2105075,g 700+,g 700-760,0.9857092,2.8 +3,7,13534,4,2,7,3,40,2.8,-0.49,43,Y,0.28,P,2,P,95,2,3,-41,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,4,13549,4,2,7,1,36,2.8,-0.44,69,Y,-0.43,P,2,P,95,2,3,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,3,13575,4,2,3,6,26,2.8,-0.29,68,Y,-0.6,F,7,P,95,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,532.631568,d 520-580,d 520-580,0.9857092,2.8 +1,1,13591,1,1,3,3,28,2.8,-2.31,68,Y,-2.3,P,7,P,95,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,564.210514,d 520-580,d 520-580,0.9857092,2.8 +6,6,13614,7,2,7,3,39,2.8,0.3,66,Y,0.16,P,7,P,95,2,5,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,4,13658,4,2,7,4,41,2.8,-0.39,68,Y,-0.31,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,1,13659,2,2,7,2,32,2.8,-0.96,69,Y,-1.44,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,3,13676,5,2,7,3,25.5,2.8,-0.08,68,Y,-0.69,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,524.7368315,d 520-580,d 520-580,0.9857092,2.8 +5,3,13682,5,2,7,3,40,2.8,-0.16,69,Y,-0.67,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,5,13708,4,2,7,2,36,2.8,-0.36,63,Y,-0.24,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,3,13734,5,2,7,6,28,2.8,-0.14,68,Y,-0.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,564.210514,d 520-580,d 520-580,0.9857092,2.8 +10,10,13815,10,1,7,4,47,2.8,1.43,66,Y,1.49,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,864.210501,g 700+,i 820+,0.9857092,2.8 +7,7,13817,7,1,7,3,40,2.8,0.41,62,Y,0.49,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +7,5,13827,7,2,7,3,40,2.8,0.5,69,Y,-0.25,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,3,13834,4,2,6,1,34,2.8,-0.26,66,Y,-0.65,F,7,P,95,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,658.947352,f 640-700,f 640-700,0.9857092,2.8 +8,8,13871,8,2,7,1,48,2.8,0.72,62,Y,0.58,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.999974,g 700+,i 820+,0.9857092,2.8 +4,4,13879,5,2,7,2,35,2.8,-0.27,68,Y,-0.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +6,3,13900,6,2,7,3,36,2.8,0.25,69,Y,-0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +7,9,13963,7,2,7,1,37,2.8,0.55,69,Y,1.14,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,2,13977,1,2,7,4,35,2.8,-1.79,57,Y,-0.89,F,7,P,96,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,9,14026,10,1,7,1,37,2.8,1.47,66,Y,0.96,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +7,8,14075,7,2,7,2,34,2.8,0.51,66,Y,0.57,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +2,1,14092,2,2,3,3,30,2.8,-0.89,62,Y,-1.45,F,7,F,95,1,3,-55,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +3,2,14097,3,1,7,3,38,2.8,-0.61,67,Y,-1.07,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,5,14111,6,1,7,1,40,2.8,0.26,66,Y,-0.19,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,3,14135,4,2,7,1,38,2.8,-0.37,65,Y,-0.62,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,7,14139,5,1,7,3,40,2.8,-0.04,65,Y,0.5,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +2,2,14157,2,1,3,3,24,2.8,-1.1,59,Y,-0.98,F,7,F,94,1,1,-52,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,501.052622,c 460-520,c 460-520,0.9857092,2.8 +5,3,14171,6,2,4,6,20,2.8,0.12,67,Y,-0.66,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,437.89473,b 400-460,b 400-460,0.9857092,2.8 +10,5,14222,10,2,7,1,31.3,2.8,2.63,65,Y,-0.08,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,616.3157749,e 580-640,e 580-640,0.9857092,2.8 +2,3,14228,2,1,7,1,38,2.8,-0.91,50,Y,-0.69,F,2,F,95,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,7,14235,8,2,7,3,39,2.8,0.67,66,Y,0.31,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +7,7,14337,7,2,7,6,33,2.8,0.41,65,Y,0.32,F,2,F,96,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,643.157879,f 640-700,f 640-700,0.9857092,2.8 +10,4,14338,10,2,7,3,35,2.8,1.34,61,Y,-0.56,F,7,F,95,2,,-54,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,3,14409,4,2,7,3,38.5,2.8,-0.45,65,Y,-0.87,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.9999805,g 700+,g 700-760,0.9857092,2.8 +7,8,14412,7,1,7,3,37,2.8,0.48,70,Y,0.81,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,1,14458,1,1,5,5,40,2.8,-2.12,69,Y,-1.69,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,753.68419,g 700+,g 700-760,0.9857092,2.8 +9,10,14487,10,2,7,3,35,2.8,1.27,67,Y,1.73,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +1,1,14503,1,1,7,3,40,2.8,-1.94,69,Y,-1.71,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,6,14528,4,1,7,3,41,2.8,-0.44,68,Y,0.01,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +10,10,14530,10,1,7,4,44,2.8,1.63,66,Y,1.5,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.842082,g 700+,h 760-820,0.9857092,2.8 +3,4,14545,4,1,7,3,37,2.8,-0.5,69,Y,-0.52,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +7,7,14564,7,1,7,3,32,2.8,0.39,59,Y,0.52,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +10,10,14579,10,2,8,3,40,2.8,1.41,62,Y,1.55,P,7,P,94,1,,-55,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +,,14581,,1,3,1,35,2.8,,67,Y,-0.54,P,2,P,96,2,3,-65,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,1,14592,3,2,2,4,42,2.8,-0.64,69,Y,-2.06,F,7,P,95,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +,,14688,,1,7,3,41,2.8,,46,Y,,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +4,4,14719,4,2,7,4,40,2.8,-0.3,67,Y,-0.33,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,753.68419,g 700+,g 700-760,0.9857092,2.8 +5,5,14728,5,2,7,4,38,2.8,-0.03,68,Y,0,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,7,14744,8,2,7,4,47,2.8,0.65,62,Y,0.49,P,7,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,864.210501,g 700+,i 820+,0.9857092,2.8 +1,2,14757,1,1,3,1,29,2.8,-1.64,58,Y,-1,P,7,P,94,1,1,-51,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,579.999987,d 520-580,d 520-580,0.9857092,2.8 +2,1,14812,3,1,4,3,31,2.8,-0.79,68,Y,-1.51,F,2,F,95,1,4,-66,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +9,8,14826,9,1,7,1,42,2.8,1.21,68,Y,0.83,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +5,7,14851,6,2,7,4,37,2.8,0.02,58,Y,0.41,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +7,9,14876,7,2,7,3,40,2.8,0.45,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,6,14881,4,1,7,1,35,2.8,-0.33,62,Y,0.02,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +8,9,14886,8,2,7,1,43,2.8,0.71,64,Y,0.92,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +8,9,14943,8,2,7,4,43,2.8,0.65,67,Y,0.97,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,801.052609,g 700+,h 760-820,0.9857092,2.8 +9,10,14944,9,2,6,2,28,2.8,1.16,46,Y,1.6,P,7,P,94,1,4,-39,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,564.210514,d 520-580,d 520-580,0.9857092,2.8 +7,7,14969,7,2,7,3,34,2.8,0.52,67,Y,0.4,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +2,3,14990,3,1,3,6,29,2.8,-0.67,70,Y,-0.79,F,7,F,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,579.999987,d 520-580,d 520-580,0.9857092,2.8 +10,10,14991,10,2,7,3,34,2.8,1.62,68,Y,1.85,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +3,2,15000,3,2,6,3,38,2.8,-0.64,57,Y,-1.3,F,7,P,95,1,2,-50,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +10,10,15004,10,2,7,3,38,2.8,2.48,68,Y,2.3,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +9,9,15023,9,2,7,1,43,2.8,1.1,65,Y,0.97,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +,,15038,,1,7,1,40,2.8,,62,Y,,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,3,15079,5,1,7,4,34.5,2.8,-0.24,63,Y,-0.56,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +5,5,15082,5,2,7,3,31.5,2.8,-0.15,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,619.4736695,e 580-640,e 580-640,0.9857092,2.8 +1,1,15112,2,2,3,1,34,2.8,-1.15,60,Y,-1.38,P,7,P,94,1,3,-53,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,658.947352,f 640-700,f 640-700,0.9857092,2.8 +10,10,15250,10,2,7,4,39,2.8,2.49,69,Y,2.5,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +5,3,15254,5,1,3,4,30,2.8,-0.07,59,Y,-0.62,F,2,P,95,1,4,-57,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,595.78946,e 580-640,e 580-640,0.9857092,2.8 +,,15262,,2,7,4,32,2.8,,64,Y,,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,627.368406,e 580-640,e 580-640,0.9857092,2.8 +4,2,15296,4,2,7,3,39,2.8,-0.36,66,Y,-0.93,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +2,4,15299,3,1,7,1,41,2.8,-0.79,50,Y,-0.38,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +1,1,15376,1,1,7,3,23.5,2.8,-1.63,69,Y,-1.34,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,493.1578855,c 460-520,c 460-520,0.9857092,2.8 +2,3,15383,3,1,7,3,29,2.8,-0.78,65,Y,-0.77,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +1,1,15459,1,1,3,1,27,2.8,-2.01,69,Y,-1.99,P,2,P,95,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,548.421041,d 520-580,d 520-580,0.9857092,2.8 +4,6,15460,4,1,7,2,34,2.8,-0.36,69,Y,0.16,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +10,10,15478,10,2,7,3,39,2.8,1.83,67,Y,1.37,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,1,15488,4,1,7,3,40,2.8,-0.39,67,Y,-1.32,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +9,9,15502,9,2,7,1,37,2.8,1.1,66,Y,1.19,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,2,15503,3,2,7,1,41,2.8,-0.64,68,Y,-0.96,F,2,P,95,2,3,-66,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +7,6,15520,7,2,7,3,33,2.8,0.45,65,Y,0.06,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +10,8,15537,10,2,7,3,47,2.8,1.32,66,Y,0.77,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,864.210501,g 700+,i 820+,0.9857092,2.8 +9,10,15546,9,2,7,2,30.5,2.8,1.06,68,Y,1.36,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,603.6841965,e 580-640,e 580-640,0.9857092,2.8 +1,1,15556,1,2,3,1,32,2.8,-1.71,68,Y,-2.21,F,7,F,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +7,3,15573,7,2,7,3,37,2.8,0.38,67,Y,-0.7,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +9,9,15611,9,2,7,4,41,2.8,1.26,59,Y,0.89,P,7,P,95,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +9,10,15660,9,2,7,3,35,2.8,1.07,67,Y,1.73,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,1,15754,2,1,8,4,39,2.8,-0.97,57,Y,-2.09,F,2,F,95,1,2,-55,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,7,15790,8,1,7,4,31,2.8,0.78,68,Y,0.46,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,611.578933,e 580-640,e 580-640,0.9857092,2.8 +5,7,15866,5,1,7,2,32,2.8,-0.16,68,Y,0.48,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +4,5,15868,4,1,7,3,42,2.8,-0.35,56,Y,-0.04,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +,,15879,3,1,7,3,39,2.8,-0.77,63,X,,P,7,P,95,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,7,15901,8,2,7,1,42,2.8,0.72,66,Y,0.35,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +1,1,15930,1,2,7,3,23,2.8,-1.65,69,Y,-1.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,485.263149,c 460-520,c 460-520,0.9857092,2.8 +6,5,15942,7,1,7,3,37,2.8,0.26,68,Y,-0.13,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +8,9,15970,9,2,7,3,35,2.8,0.85,61,Y,0.98,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,4,16122,3,2,7,3,32,2.8,-0.58,68,Y,-0.49,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +6,5,16127,6,2,7,4,41,2.8,0.25,64,Y,-0.08,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +1,1,16154,1,1,3,1,25,2.8,-2.22,68,Y,-2.17,F,7,F,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,516.842095,c 460-520,c 460-520,0.9857092,2.8 +1,1,16170,1,1,3,1,29,2.8,-1.56,56,Y,-1.53,P,7,P,94,1,2,-49,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,579.999987,d 520-580,d 520-580,0.9857092,2.8 +3,4,16223,4,2,7,3,40,2.8,-0.46,58,Y,-0.54,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +6,6,16242,6,2,7,3,40,2.8,0.2,66,Y,0.23,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +6,5,16259,6,2,7,1,48,2.8,0.14,69,Y,-0.16,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.999974,g 700+,i 820+,0.9857092,2.8 +7,4,16287,7,2,7,3,31,2.8,0.51,62,Y,-0.47,F,7,P,96,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +5,7,16323,5,2,7,4,36,2.8,0,56,Y,0.29,P,7,P,94,1,5,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +6,6,16332,6,2,7,2,40,2.8,0.09,69,Y,0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,753.68419,g 700+,g 700-760,0.9857092,2.8 +6,7,16405,7,1,7,1,41,2.8,0.33,68,Y,0.47,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +9,8,16431,9,2,7,1,48,2.8,1.04,65,Y,0.8,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.999974,g 700+,i 820+,0.9857092,2.8 +4,5,16440,4,2,7,3,32,2.8,-0.38,67,Y,-0.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +8,7,16441,8,2,7,4,36,2.8,0.71,69,Y,0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,1,16443,1,2,2,4,40,2.8,-1.57,67,Y,-1.45,P,2,P,96,1,4,-65,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,4,16444,5,1,7,3,36,2.8,-0.24,68,Y,-0.52,F,7,F,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,1,16475,2,2,7,1,41,2.8,-1.17,67,Y,-1.48,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +4,7,16488,4,2,7,4,36,2.8,-0.4,58,Y,0.43,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +5,4,16494,5,2,7,2,34,2.8,-0.15,65,Y,-0.36,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +2,2,16538,2,1,3,3,24,2.8,-1.08,69,Y,-1.25,P,2,P,94,1,1,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,501.052622,c 460-520,c 460-520,0.9857092,2.8 +2,2,16548,2,2,8,1,32,2.8,-0.83,65,Y,-1.17,F,7,F,94,1,2,-58,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +2,2,16580,2,1,2,3,34,2.8,-0.84,69,Y,-0.9,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,3,16615,7,2,7,3,39,2.8,0.27,68,Y,-0.78,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +6,7,16675,6,2,7,3,41,2.8,0.19,57,Y,0.28,P,2,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,2,16703,3,2,7,3,35,2.8,-0.72,69,Y,-1.15,F,7,F,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,4,16704,5,2,7,2,27.3,2.8,-0.16,67,Y,-0.38,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,553.1578829,d 520-580,d 520-580,0.9857092,2.8 +10,10,16731,10,2,7,3,37,2.8,1.35,67,Y,1.57,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +5,5,16805,5,1,7,3,34.5,2.8,-0.09,67,Y,-0.15,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +6,4,16818,6,1,3,3,33,2.8,0.24,69,Y,-0.53,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +3,6,16869,3,1,7,3,42,2.8,-0.56,69,Y,0.1,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +3,3,16874,3,2,7,2,31,2.8,-0.64,67,Y,-0.78,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +6,5,16884,6,2,7,3,38,2.8,0.24,69,Y,-0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +4,7,16891,4,2,7,3,30,2.8,-0.33,65,Y,0.51,P,7,P,94,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +2,1,16930,2,1,8,4,24,2.8,-0.97,67,Y,-1.36,F,2,F,95,2,3,-65,female,1,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,5,501.052622,c 460-520,c 460-520,0.9857092,2.8 +4,4,16944,4,2,7,1,43,2.8,-0.35,67,Y,-0.52,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +4,4,16961,4,2,7,3,39,2.8,-0.42,68,Y,-0.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +5,5,16965,6,2,7,3,39,2.8,-0.01,51,Y,-0.16,P,2,P,95,2,4,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +6,5,17004,6,1,7,3,41,2.8,0.16,68,Y,-0.18,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,4,17081,3,2,7,3,36,2.8,-0.75,66,Y,-0.56,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +8,6,17091,8,1,7,3,40,2.8,0.71,69,Y,0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,2,17095,2,2,7,3,38,2.8,-1.14,69,Y,-0.94,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +10,6,17103,10,1,6,4,39,2.8,1.69,63,Y,0.23,P,7,P,94,1,3,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,2,17144,4,1,7,3,38,2.8,-0.27,69,Y,-0.89,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +5,4,17196,6,2,8,3,35,2.8,0.04,68,Y,-0.34,P,2,P,94,1,4,-66,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,3,17203,4,1,7,2,35,2.8,-0.45,69,Y,-0.89,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,3,17210,6,2,3,4,29,2.8,0.04,59,Y,-0.82,P,7,P,94,1,4,-52,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,579.999987,d 520-580,d 520-580,0.9857092,2.8 +3,4,17216,4,1,7,2,34.5,2.8,-0.51,62,Y,-0.34,P,2,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +6,6,17224,6,2,7,3,29.5,2.8,0.24,68,Y,0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,587.8947235,e 580-640,e 580-640,0.9857092,2.8 +7,7,17253,7,1,7,3,36,2.8,0.31,68,Y,0.36,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,5,17259,4,1,7,1,45,2.8,-0.27,69,Y,-0.06,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.631555,g 700+,i 820+,0.9857092,2.8 +2,4,17336,3,2,2,3,35,2.8,-0.75,67,Y,-0.38,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,10,17350,10,1,7,2,35,2.8,1.9,62,Y,2.26,P,2,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +4,4,17459,4,1,7,4,30.3,2.8,-0.45,61,Y,-0.27,P,2,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,600.5263019,e 580-640,e 580-640,0.9857092,2.8 +1,1,17506,2,1,3,6,27,2.8,-1.06,69,Y,-1.86,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,548.421041,d 520-580,d 520-580,0.9857092,2.8 +9,10,17512,9,2,7,1,40,2.8,1.09,63,Y,1.4,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +,,17534,,1,6,1,28,2.8,,66,Y,,F,2,F,96,1,2,-64,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,564.210514,d 520-580,d 520-580,0.9857092,2.8 +4,3,17562,5,2,7,3,29,2.8,-0.22,69,Y,-0.72,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +,,17565,8,2,7,3,35,2.8,0.75,67,X,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +9,9,17584,9,2,7,4,44,2.8,1.05,66,Y,0.86,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.842082,g 700+,h 760-820,0.9857092,2.8 +5,6,17628,5,1,7,3,28,2.8,-0.11,59,Y,0.21,P,7,P,95,2,4,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,564.210514,d 520-580,d 520-580,0.9857092,2.8 +8,10,17666,8,1,7,3,38,2.8,0.78,69,Y,1.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,8,17668,7,2,7,3,48,2.8,0.31,62,Y,0.63,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.999974,g 700+,i 820+,0.9857092,2.8 +5,4,17680,5,2,7,4,47,2.8,-0.14,58,Y,-0.28,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,864.210501,g 700+,i 820+,0.9857092,2.8 +,,17692,,2,7,6,31.5,2.8,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,619.4736695,e 580-640,e 580-640,0.9857092,2.8 +5,5,17696,5,1,6,3,40,2.8,-0.04,69,Y,-0.14,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,2,17706,3,2,7,3,33,2.8,-0.55,68,Y,-0.9,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,9,17715,9,2,7,1,35,2.8,1.14,66,Y,1.01,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +4,4,17716,4,1,3,1,33,2.8,-0.28,56,Y,-0.39,P,7,P,94,1,3,-49,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,643.157879,f 640-700,f 640-700,0.9857092,2.8 +4,3,17791,5,1,7,3,35,2.8,-0.23,68,Y,-0.62,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +8,9,17812,8,2,7,3,38,2.8,0.58,49,Y,1.19,P,2,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +2,2,17825,2,2,2,1,32,2.8,-0.9,68,Y,-1.05,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,5,17858,6,2,7,1,42,2.8,0.08,65,Y,-0.01,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +2,4,17863,3,1,7,3,38,2.8,-0.82,69,Y,-0.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +4,1,17874,4,1,7,4,39,2.8,-0.44,65,Y,-1.33,P,7,P,94,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,17883,1,1,2,4,37,2.8,-1.73,68,Y,-2.47,F,7,P,95,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +5,3,17908,5,2,7,4,35,2.8,-0.19,69,Y,-0.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,7,17931,5,2,7,1,41,2.8,-0.01,69,Y,0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +1,3,17995,1,2,3,2,22,2.8,-1.33,59,Y,-0.81,P,7,P,94,1,2,-52,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,469.473676,c 460-520,c 460-520,0.9857092,2.8 +10,9,17998,10,2,7,1,36,2.8,1.57,61,Y,1.07,P,2,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +9,5,18022,9,2,7,3,36,2.8,0.97,51,Y,-0.22,P,7,P,95,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +10,10,18031,10,2,7,3,39,2.8,1.32,66,Y,1.99,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +,,18033,7,1,3,6,25.5,2.8,0.51,69,X,,P,2,P,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,524.7368315,d 520-580,d 520-580,0.9857092,2.8 +2,3,18138,3,1,7,3,35,2.8,-0.79,68,Y,-0.64,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +7,1,18141,7,1,7,2,32.5,2.8,0.33,67,Y,-1.69,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +9,8,18143,9,2,7,3,36,2.8,1.02,68,Y,0.6,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +6,8,18160,6,2,7,3,35,2.8,0.06,69,Y,0.62,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,4,18166,3,2,6,3,30,2.8,-0.66,61,Y,-0.42,P,7,P,94,1,4,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +,,18194,7,2,7,3,39,2.8,0.38,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +5,2,18263,5,2,7,3,38.5,2.8,-0.03,62,Y,-1.04,F,7,P,96,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,729.9999805,g 700+,g 700-760,0.9857092,2.8 +3,3,18328,3,2,7,3,27,2.8,-0.66,62,Y,-0.7,F,7,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +2,5,18358,2,1,7,4,37,2.8,-0.86,69,Y,-0.11,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +8,8,18384,9,2,7,3,41,2.8,0.84,68,Y,0.84,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +10,10,18385,10,1,7,3,43,2.8,1.42,62,Y,1.34,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,801.052609,g 700+,h 760-820,0.9857092,2.8 +6,8,18444,6,2,7,2,34.5,2.8,0.17,67,Y,0.55,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +9,5,18445,9,2,7,3,27,2.8,0.99,56,Y,-0.1,F,2,F,96,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +7,9,18460,8,2,7,3,37,2.8,0.56,57,Y,0.95,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +9,6,18492,10,2,7,3,38,2.8,1.29,66,Y,0.2,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +2,2,18509,3,1,7,2,35,2.8,-0.81,45,Y,-1.14,P,2,P,95,1,1,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,7,18534,6,2,7,6,29,2.8,0.06,61,Y,0.34,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,579.999987,d 520-580,d 520-580,0.9857092,2.8 +10,10,18539,10,1,7,1,43,2.8,1.46,65,Y,1.47,P,2,P,96,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +5,4,18597,5,2,7,3,34,2.8,-0.16,66,Y,-0.53,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +10,10,18599,10,2,7,6,26.5,2.8,1.61,68,Y,1.73,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,540.5263045,d 520-580,d 520-580,0.9857092,2.8 +2,1,18638,2,2,5,4,30,2.8,-1,70,Y,-1.58,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,595.78946,e 580-640,e 580-640,0.9857092,2.8 +4,4,18654,4,2,7,3,36,2.8,-0.38,69,Y,-0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +2,1,18655,3,1,7,3,37,2.8,-0.76,52,Y,-1.32,P,7,P,95,2,3,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,2,18667,1,2,7,3,28.3,2.8,-1.41,69,Y,-1.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,568.9473559,d 520-580,d 520-580,0.9857092,2.8 +10,10,18699,10,1,7,4,32,2.8,1.41,57,Y,1.31,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,627.368406,e 580-640,e 580-640,0.9857092,2.8 +1,1,18728,1,1,3,3,28,2.8,-1.9,68,Y,-1.33,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,564.210514,d 520-580,d 520-580,0.9857092,2.8 +6,5,18755,6,2,7,1,35.5,2.8,0.16,63,Y,-0.04,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,682.6315615,f 640-700,f 640-700,0.9857092,2.8 +5,7,18759,5,2,7,3,37,2.8,-0.1,63,Y,0.27,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +5,4,18785,5,2,2,4,31,2.8,-0.05,62,Y,-0.51,P,7,P,94,1,5,-55,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,1,18834,2,2,6,4,33,2.8,-0.96,68,Y,-1.42,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,643.157879,f 640-700,f 640-700,0.9857092,2.8 +4,4,18842,5,2,7,3,33,2.8,-0.24,68,Y,-0.5,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +6,2,18877,6,2,7,3,35,2.8,0.19,67,Y,-1.17,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,5,18894,5,2,7,2,29,2.8,-0.12,63,Y,-0.17,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,579.999987,d 520-580,d 520-580,0.9857092,2.8 +6,6,18897,6,1,7,5,41,2.8,0.15,67,Y,0.26,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,769.473663,g 700+,h 760-820,0.9857092,2.8 +,,18964,,2,7,,43,2.8,0.6,67,Y,0.03,P,2,P,95,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,801.052609,g 700+,h 760-820,0.9857092,2.8 +10,8,18991,10,2,7,3,35,2.8,1.32,68,Y,0.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +6,3,18998,6,1,3,1,32,2.8,0.14,69,Y,-0.59,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +4,2,19026,4,2,7,3,37,2.8,-0.33,65,Y,-1.01,P,7,P,95,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,9,19031,10,2,7,3,37,2.8,1.41,66,Y,1.28,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +,,19046,,2,7,3,34.5,2.8,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +7,5,19073,7,1,7,1,42,2.8,0.37,69,Y,-0.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +,,19100,,2,7,,24,2.8,0.84,64,Y,0.92,P,7,P,94,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,501.052622,c 460-520,c 460-520,0.9857092,2.8 +5,3,19122,5,2,7,3,35,2.8,-0.02,69,Y,-0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,9,19137,10,2,7,3,37,2.8,1.34,68,Y,1.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,2,19141,4,2,7,3,33.5,2.8,-0.47,65,Y,-1.06,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +5,5,19152,5,2,7,2,35,2.8,-0.03,68,Y,-0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,4,19155,5,2,5,2,25,2.8,-0.12,66,Y,-0.55,P,7,P,94,1,1,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,516.842095,c 460-520,c 460-520,0.9857092,2.8 +3,7,19222,3,1,7,3,29,2.8,-0.59,59,Y,0.37,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +2,4,19224,3,1,7,3,38,2.8,-0.74,63,Y,-0.52,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +2,1,19283,2,2,5,5,47,2.8,-1.13,68,Y,-1.52,P,2,P,94,1,3,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,864.210501,g 700+,i 820+,0.9857092,2.8 +4,6,19325,5,2,7,3,40,2.8,-0.23,66,Y,0.07,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +10,9,19346,10,2,7,4,32.5,2.8,1.99,58,Y,1.14,P,7,P,95,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +9,10,19351,9,2,7,3,37,2.8,0.93,68,Y,1.55,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +,,19369,9,1,7,3,33,2.8,1.08,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +2,2,19379,2,2,3,3,29,2.8,-1.03,69,Y,-1.21,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +10,9,19393,10,1,7,1,48,2.8,1.94,51,Y,1.22,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.999974,g 700+,i 820+,0.9857092,2.8 +2,2,19406,2,2,6,1,28,2.8,-1.05,61,Y,-1.23,P,7,P,94,1,4,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,564.210514,d 520-580,d 520-580,0.9857092,2.8 +1,3,19418,2,1,4,4,30,2.8,-1.25,67,Y,-0.85,P,2,P,95,1,3,-65,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,595.78946,e 580-640,e 580-640,0.9857092,2.8 +4,1,19429,4,1,7,2,35,2.8,-0.4,67,Y,-1.9,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +1,2,19495,1,1,6,4,31,2.8,-1.61,54,Y,-1.13,P,7,P,94,1,3,-47,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,2,19498,2,1,3,4,41,2.8,-0.83,60,Y,-1.14,P,7,P,94,1,3,-53,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +7,6,19502,7,2,7,1,40,2.8,0.49,68,Y,0.17,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,4,19524,4,2,7,3,41,2.8,-0.39,68,Y,-0.46,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,2,19547,2,2,7,4,34,2.8,-0.91,54,Y,-0.91,P,7,P,95,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,658.947352,f 640-700,f 640-700,0.9857092,2.8 +9,9,19549,9,2,7,3,35,2.8,1.12,64,Y,1.04,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,5,19588,3,1,7,3,35,2.8,-0.55,64,Y,-0.24,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +6,3,19610,6,1,7,4,39,2.8,0.2,65,Y,-0.61,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +7,9,19621,7,2,7,3,40,2.8,0.41,67,Y,0.91,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,1,19627,4,2,3,3,25.7,2.8,-0.51,66,Y,-1.51,F,7,P,95,1,2,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,527.8947261,d 520-580,d 520-580,0.9857092,2.8 +6,8,19654,6,2,7,1,41,2.8,0.23,68,Y,0.66,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,2,19661,2,2,7,3,33,2.8,-1.1,54,Y,-1.22,F,2,P,95,2,2,-52,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +2,3,19666,2,1,7,5,33.5,2.8,-1.15,68,Y,-0.82,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +2,2,19673,2,1,3,1,32,2.8,-0.83,69,Y,-1.23,P,2,P,95,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +4,4,19753,4,1,7,1,32,2.8,-0.38,69,Y,-0.3,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +3,4,19807,3,2,7,3,36,2.8,-0.54,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +,,19836,3,2,6,6,23.3,2.8,-0.79,65,X,,F,2,F,95,1,3,-63,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,489.9999909,c 460-520,c 460-520,0.9857092,2.8 +,,19855,8,2,7,4,39,2.8,0.61,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +,,19964,,1,7,6,30,2.8,,46,Y,,P,7,P,94,1,5,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,595.78946,e 580-640,e 580-640,0.9857092,2.8 +8,8,19983,8,2,7,1,47,2.8,0.83,66,Y,0.61,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,864.210501,g 700+,i 820+,0.9857092,2.8 +4,5,19991,4,2,7,2,33,2.8,-0.35,64,Y,-0.17,F,2,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +2,2,19996,2,1,3,3,18,2.8,-1.04,61,Y,-1.18,F,7,P,96,1,1,-54,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,406.315784,b 400-460,b 400-460,0.9857092,2.8 +7,9,20040,7,2,7,3,42,2.8,0.47,69,Y,0.95,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +,,20048,,2,7,2,40,2.8,,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,753.68419,g 700+,g 700-760,0.9857092,2.8 +5,3,20105,5,1,3,3,22,2.8,-0.05,54,Y,-0.87,P,7,P,95,2,2,-47,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,469.473676,c 460-520,c 460-520,0.9857092,2.8 +4,3,20110,5,2,5,5,44,2.8,-0.21,64,Y,-0.68,P,7,P,94,1,4,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,816.842082,g 700+,h 760-820,0.9857092,2.8 +2,2,20124,3,2,7,3,33,2.8,-0.72,61,Y,-0.96,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +8,7,20132,8,1,7,3,38.5,2.8,0.63,65,Y,0.46,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,729.9999805,g 700+,g 700-760,0.9857092,2.8 +4,4,20167,5,2,7,1,39.5,2.8,-0.22,63,Y,-0.29,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,745.7894535,g 700+,g 700-760,0.9857092,2.8 +2,2,20226,2,1,7,3,31,2.8,-0.98,64,Y,-1.17,F,7,F,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,611.578933,e 580-640,e 580-640,0.9857092,2.8 +5,4,20313,5,1,2,4,31,2.8,-0.1,61,Y,-0.25,F,7,P,95,1,3,-54,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,611.578933,e 580-640,e 580-640,0.9857092,2.8 +6,8,20315,6,2,7,4,48,2.8,0.2,66,Y,0.7,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.999974,g 700+,i 820+,0.9857092,2.8 +3,2,20343,3,1,7,3,34.3,2.8,-0.55,68,Y,-1.03,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.6841939,f 640-700,f 640-700,0.9857092,2.8 +6,5,20354,6,2,7,3,44,2.8,0.23,66,Y,-0.06,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.842082,g 700+,h 760-820,0.9857092,2.8 +7,8,20355,7,2,7,3,48,2.8,0.33,64,Y,0.69,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.999974,g 700+,i 820+,0.9857092,2.8 +1,1,20366,1,2,7,2,36,2.8,-1.44,68,Y,-1.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,4,20379,4,1,3,2,28,2.8,-0.34,69,Y,-0.6,P,2,P,94,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,564.210514,d 520-580,d 520-580,0.9857092,2.8 +6,5,20443,7,2,7,2,32,2.8,0.21,65,Y,-0.1,F,7,F,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +6,9,20475,6,1,7,4,37,2.8,0.24,64,Y,1.02,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +6,8,20476,6,1,3,1,36,2.8,0.2,59,Y,0.62,P,7,P,95,2,5,-52,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +7,6,20517,7,2,7,1,39,2.8,0.43,50,Y,0.29,P,7,P,94,1,4,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +7,3,20529,7,2,7,5,41,2.8,0.36,65,Y,-0.52,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,769.473663,g 700+,h 760-820,0.9857092,2.8 +,,20598,,2,6,2,35,2.8,,65,Y,-0.79,P,7,P,95,1,4,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +1,2,20615,2,1,7,3,35,2.8,-1.16,68,Y,-1.08,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +7,6,20626,7,2,7,3,37,2.8,0.36,61,Y,0.23,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +,,20689,,1,7,1,39,2.8,,60,Y,,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,5,20715,4,2,7,1,31,2.8,-0.25,68,Y,-0.25,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,611.578933,e 580-640,e 580-640,0.9857092,2.8 +6,3,20732,6,2,7,4,37,2.8,0.16,64,Y,-0.57,F,7,F,94,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,1,20740,1,1,3,1,28,2.8,-1.31,68,Y,-1.64,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,564.210514,d 520-580,d 520-580,0.9857092,2.8 +,,20752,,2,7,3,39,2.8,,56,Y,,P,7,P,94,2,2,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +9,10,20826,10,1,7,6,43,2.8,1.27,63,Y,1.44,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,801.052609,g 700+,h 760-820,0.9857092,2.8 +5,6,20852,6,2,7,3,36,2.8,0,69,Y,0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,3,20874,4,2,7,1,43,2.8,-0.39,68,Y,-0.7,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +8,8,20985,8,1,7,3,40,2.8,0.73,66,Y,0.62,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +2,3,21002,3,1,7,3,35.5,2.8,-0.76,42,Y,-0.67,F,7,P,95,1,3,-35,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,682.6315615,f 640-700,f 640-700,0.9857092,2.8 +6,5,21075,7,1,3,1,36,2.8,0.31,67,Y,-0.07,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +5,6,21086,6,1,7,1,43,2.8,0.08,70,Y,0.04,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +,,21109,,1,7,4,39,2.8,,66,Y,,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,21156,1,2,7,3,32,2.8,-1.98,65,Y,-1.89,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +7,8,21183,7,1,3,6,27,2.8,0.4,69,Y,0.84,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,548.421041,d 520-580,d 520-580,0.9857092,2.8 +6,6,21192,6,2,7,3,37,2.8,0.15,67,Y,0.17,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,9,21205,10,2,7,3,39,2.8,1.34,53,Y,1.15,P,7,P,95,2,3,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +9,8,21233,9,2,6,2,34,2.8,0.93,65,Y,0.71,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +10,10,21257,10,2,7,1,41.5,2.8,1.72,67,Y,1.6,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,777.3683995,g 700+,h 760-820,0.9857092,2.8 +4,4,21312,4,1,7,3,34,2.8,-0.31,64,Y,-0.28,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +2,1,21314,2,1,6,4,30,2.8,-1.14,65,Y,-1.41,F,7,F,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,595.78946,e 580-640,e 580-640,0.9857092,2.8 +6,3,21359,6,2,7,3,41,2.8,0.13,67,Y,-0.57,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +6,4,21364,7,2,7,3,35,2.8,0.27,69,Y,-0.34,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +2,3,21377,3,2,7,1,42,2.8,-0.81,68,Y,-0.55,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +5,5,21393,5,2,7,2,34,2.8,-0.03,67,Y,-0.21,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +1,1,21474,1,2,3,1,24,2.8,-1.84,63,Y,-2.22,F,7,F,95,1,4,-56,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,501.052622,c 460-520,c 460-520,0.9857092,2.8 +8,6,21526,8,2,7,3,38,2.8,0.67,68,Y,0.23,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +2,2,21542,3,2,7,3,35,2.8,-0.71,69,Y,-1.11,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +6,6,21561,6,2,7,3,37,2.8,0.1,69,Y,0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,2,21599,1,2,7,3,35,2.8,-1.34,69,Y,-1.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +6,6,21645,6,1,3,5,32,2.8,0.19,69,Y,0.1,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,627.368406,e 580-640,e 580-640,0.9857092,2.8 +7,7,21706,7,2,7,3,40,2.8,0.33,63,Y,0.47,P,7,P,93,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +7,8,21714,8,2,7,3,45,2.8,0.56,67,Y,0.71,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.631555,g 700+,i 820+,0.9857092,2.8 +8,9,21719,8,2,7,3,35,2.8,0.64,67,Y,1.24,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +1,1,21738,1,2,3,4,39,2.8,-1.96,67,Y,-2.02,P,7,P,94,1,1,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +2,2,21741,2,1,7,3,35,2.8,-0.85,68,Y,-1.16,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,9,21815,10,1,7,3,39,2.8,1.42,64,Y,1.3,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +4,7,21821,5,1,8,3,36,2.8,-0.24,68,Y,0.44,P,7,P,94,1,2,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,3,21874,3,2,7,3,39,2.8,-0.63,61,Y,-0.73,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +10,9,21884,10,2,7,4,40,2.8,2,69,Y,1.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,753.68419,g 700+,g 700-760,0.9857092,2.8 +10,8,21931,10,1,7,5,36,2.8,1.53,62,Y,0.57,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,3,22020,3,1,2,4,34,2.8,-0.64,69,Y,-0.7,F,7,F,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,5,22027,6,1,7,2,31.5,2.8,0.12,66,Y,-0.12,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,619.4736695,e 580-640,e 580-640,0.9857092,2.8 +2,1,22052,2,2,7,1,41,2.8,-1.12,67,Y,-1.41,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +3,2,22058,3,1,7,3,34,2.8,-0.56,69,Y,-1.28,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +9,9,22067,9,1,7,3,37,2.8,1.02,49,Y,0.9,P,7,P,94,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +6,7,22103,7,1,7,1,37,2.8,0.3,63,Y,0.42,P,7,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +,,22145,6,2,7,3,44,2.8,0.06,69,Y,,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,816.842082,g 700+,h 760-820,0.9857092,2.8 +3,4,22148,3,2,7,3,32.5,2.8,-0.67,68,Y,-0.43,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +6,6,22149,6,1,7,1,25,2.8,0.1,64,Y,0.17,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,516.842095,c 460-520,c 460-520,0.9857092,2.8 +5,5,22184,5,2,7,2,35,2.8,-0.13,69,Y,-0.11,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +9,9,22206,9,2,7,1,37.5,2.8,1.13,66,Y,0.92,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,714.2105075,g 700+,g 700-760,0.9857092,2.8 +9,8,22207,9,2,7,1,40,2.8,1.29,54,Y,0.87,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +,,22253,,2,7,5,46,2.8,,69,Y,,F,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,848.421028,g 700+,i 820+,0.9857092,2.8 +3,2,22275,3,1,2,4,38,2.8,-0.64,55,Y,-0.96,F,7,P,96,1,2,-48,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,722.105244,g 700+,g 700-760,0.9857092,2.8 +10,10,22277,10,2,7,3,37,2.8,1.51,67,Y,1.95,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +9,9,22323,10,2,7,2,36,2.8,1.23,69,Y,0.89,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,690.526298,f 640-700,f 640-700,0.9857092,2.8 +4,4,22367,5,1,7,3,39,2.8,-0.19,69,Y,-0.51,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +,,22368,,2,5,1,31,2.8,,68,Y,,F,2,F,95,1,5,-66,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,611.578933,e 580-640,e 580-640,0.9857092,2.8 +3,4,22374,4,2,4,6,35,2.8,-0.52,63,Y,-0.36,F,7,F,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,10,22419,10,1,7,3,30,2.8,1.57,52,Y,1.56,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +2,2,22422,2,2,7,1,36,2.8,-1.01,69,Y,-1.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +7,7,22463,8,2,7,3,36,2.8,0.53,69,Y,0.42,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +2,2,22466,3,2,3,1,31,2.8,-0.78,68,Y,-1.23,F,7,P,95,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,611.578933,e 580-640,e 580-640,0.9857092,2.8 +9,8,22490,9,2,7,3,43,2.8,1.2,66,Y,0.59,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,801.052609,g 700+,h 760-820,0.9857092,2.8 +1,1,22514,2,2,7,3,35,2.8,-1.15,54,Y,-1.95,F,2,F,95,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +,,22528,,1,7,,28,2.8,-0.19,68,Y,-0.9,P,7,P,94,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,564.210514,d 520-580,d 520-580,0.9857092,2.8 +5,5,22568,5,1,7,3,39,2.8,-0.14,62,Y,-0.27,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,22654,1,1,6,3,23,2.8,-1.77,67,Y,-2.05,F,2,F,95,1,2,-65,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,485.263149,c 460-520,c 460-520,0.9857092,2.8 +9,9,22657,9,1,2,3,40,2.8,0.92,67,Y,1.27,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +5,4,22680,5,2,7,3,42,2.8,-0.1,65,Y,-0.56,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +1,1,22702,1,2,3,1,28,2.8,-1.93,68,Y,-1.53,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,564.210514,d 520-580,d 520-580,0.9857092,2.8 +9,10,22731,9,2,2,4,37,2.8,1.09,68,Y,1.36,P,7,P,94,1,,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +5,6,22744,5,2,7,3,36,2.8,-0.17,68,Y,0.01,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,1,22747,1,1,3,3,23,2.8,-2.37,57,Y,-1.64,F,2,F,95,1,1,-55,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,485.263149,c 460-520,c 460-520,0.9857092,2.8 +9,4,22760,10,2,8,3,30,2.8,1.28,65,Y,-0.51,P,2,P,95,1,4,-63,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +9,10,22814,9,2,4,1,36,2.8,1.09,67,Y,1.41,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +7,6,22829,7,1,7,3,34,2.8,0.33,69,Y,0.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +9,10,22926,9,2,7,4,47,2.8,1.12,67,Y,1.76,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,864.210501,g 700+,i 820+,0.9857092,2.8 +,,22938,,2,7,,39,2.8,0.55,67,Y,0.47,P,2,P,95,2,3,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,737.894717,g 700+,g 700-760,0.9857092,2.8 +7,7,22944,7,2,7,2,31,2.8,0.36,67,Y,0.23,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,2,22953,2,1,3,3,22.5,2.8,-0.93,68,Y,-1.1,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,477.3684125,c 460-520,c 460-520,0.9857092,2.8 +2,4,22959,2,2,7,3,23.5,2.8,-0.93,69,Y,-0.47,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,493.1578855,c 460-520,c 460-520,0.9857092,2.8 +3,2,22981,3,2,7,2,37,2.8,-0.71,63,Y,-1.02,F,7,F,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,706.315771,g 700+,g 700-760,0.9857092,2.8 +1,1,23017,1,1,3,3,21,2.8,-1.65,69,Y,-1.63,P,2,P,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,453.684203,b 400-460,b 400-460,0.9857092,2.8 +8,8,23070,8,2,7,3,32,2.8,0.63,65,Y,0.61,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +3,2,23107,3,2,3,5,37,2.8,-0.67,64,Y,-1.05,P,7,P,94,1,4,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,2,23117,4,2,6,2,33,2.8,-0.44,69,Y,-1.2,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,8,23139,9,2,7,3,40,2.8,1.05,66,Y,0.83,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,1,23141,1,1,3,3,34,2.8,-1.83,68,Y,-2.41,F,7,F,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +,,23147,6,2,7,1,36,2.8,0.08,58,Y,,P,2,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +5,7,23159,6,2,7,2,33,2.8,0.02,68,Y,0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +3,3,23160,3,2,7,2,30,2.8,-0.58,64,Y,-0.73,F,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,595.78946,e 580-640,e 580-640,0.9857092,2.8 +4,2,23165,4,1,3,3,29.5,2.8,-0.33,59,Y,-1.02,P,2,P,95,2,3,-57,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,587.8947235,e 580-640,e 580-640,0.9857092,2.8 +1,1,23179,1,1,6,1,27,2.8,-1.36,68,Y,-2.11,F,2,F,95,1,3,-66,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,548.421041,d 520-580,d 520-580,0.9857092,2.8 +2,1,23193,2,1,3,4,29,2.8,-0.96,68,Y,-1.44,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,579.999987,d 520-580,d 520-580,0.9857092,2.8 +1,1,23196,1,2,7,3,38,2.8,-1.73,69,Y,-1.79,F,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +10,10,23219,10,2,7,3,37,2.8,2.19,65,Y,2.17,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +,,23259,,1,7,,24.5,2.8,-0.68,68,Y,-0.67,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,508.9473585,c 460-520,c 460-520,0.9857092,2.8 +9,7,23276,9,1,7,3,43,2.8,0.94,56,Y,0.4,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,801.052609,g 700+,h 760-820,0.9857092,2.8 +3,4,23323,3,2,7,4,45,2.8,-0.54,69,Y,-0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.631555,g 700+,i 820+,0.9857092,2.8 +8,8,23326,8,2,8,3,42,2.8,0.57,66,Y,0.61,P,7,P,94,1,4,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +3,3,23333,3,1,7,3,38,2.8,-0.58,60,Y,-0.68,P,2,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,6,23345,6,1,2,4,34,2.8,0.22,68,Y,0.1,P,2,P,95,1,3,-66,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,658.947352,f 640-700,f 640-700,0.9857092,2.8 +9,8,23348,9,1,6,3,41,2.8,1.08,44,Y,0.68,P,2,P,96,2,1,-42,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +9,9,23363,9,2,7,1,39.5,2.8,1.25,63,Y,1.27,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,745.7894535,g 700+,g 700-760,0.9857092,2.8 +7,7,23424,7,2,7,2,35,2.8,0.48,65,Y,0.52,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +1,1,23481,2,1,3,3,32,2.8,-1.28,70,Y,-1.77,P,7,P,94,1,1,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,6,23543,6,1,7,3,33,2.8,0.05,66,Y,0.21,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +4,5,23566,4,1,7,2,35,2.8,-0.36,66,Y,-0.15,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +,,23586,,2,7,6,34,2.8,,62,Y,,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,658.947352,f 640-700,f 640-700,0.9857092,2.8 +8,7,23589,8,2,7,4,42,2.8,0.58,47,Y,0.43,P,2,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +6,4,23598,7,2,3,6,23,2.8,0.35,66,Y,-0.37,P,7,P,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,485.263149,c 460-520,c 460-520,0.9857092,2.8 +8,7,23640,8,2,7,5,40,2.8,0.67,68,Y,0.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,753.68419,g 700+,g 700-760,0.9857092,2.8 +6,5,23664,6,2,7,3,35,2.8,0.24,52,Y,-0.26,F,7,F,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,2,23706,4,2,3,1,23,2.8,-0.5,51,Y,-0.94,P,7,P,94,1,2,-44,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,485.263149,c 460-520,c 460-520,0.9857092,2.8 +3,2,23719,3,2,4,4,35,2.8,-0.51,63,Y,-1.07,P,7,P,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,6,23722,3,2,7,2,35.5,2.8,-0.63,69,Y,0.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,682.6315615,f 640-700,f 640-700,0.9857092,2.8 +5,4,23729,5,1,2,1,35,2.8,-0.12,67,Y,-0.27,P,7,P,94,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,674.736825,f 640-700,f 640-700,0.9857092,2.8 +4,2,23767,4,2,7,3,37,2.8,-0.28,57,Y,-1.17,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +,,23785,6,2,7,3,42,2.8,0.17,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +2,3,23810,2,2,7,3,34.5,2.8,-1.07,62,Y,-0.64,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +1,1,23831,1,1,3,3,29,2.8,-1.89,67,Y,-1.49,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +4,5,23832,4,1,7,3,25.7,2.8,-0.35,68,Y,-0.24,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,527.8947261,d 520-580,d 520-580,0.9857092,2.8 +8,6,23847,8,2,7,3,44,2.8,0.58,68,Y,0.13,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.842082,g 700+,h 760-820,0.9857092,2.8 +6,4,23854,6,2,7,3,37.5,2.8,0.17,67,Y,-0.28,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,714.2105075,g 700+,g 700-760,0.9857092,2.8 +3,6,23886,3,1,7,2,31,2.8,-0.63,68,Y,0.04,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +10,10,23896,10,1,7,3,35.5,2.8,1.49,62,Y,1.59,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.6315615,f 640-700,f 640-700,0.9857092,2.8 +5,6,23938,5,2,7,3,35,2.8,-0.07,62,Y,0.08,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +4,5,23951,5,2,3,1,27.5,2.8,-0.22,67,Y,-0.18,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,556.3157775,d 520-580,d 520-580,0.9857092,2.8 +9,10,23986,9,2,7,4,37,2.8,1.21,69,Y,1.76,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,5,24015,4,2,7,3,38,2.8,-0.44,68,Y,-0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +7,8,24046,7,1,7,4,42,2.8,0.31,65,Y,0.84,P,2,P,96,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +5,6,24058,5,2,7,3,39,2.8,-0.05,68,Y,0.24,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +5,4,24064,5,2,6,3,32.5,2.8,-0.05,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +7,8,24071,7,2,7,3,38,2.8,0.32,68,Y,0.64,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +6,7,24160,6,1,7,3,36,2.8,0.08,66,Y,0.53,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,1,24188,1,2,1,4,36,2.8,-3.08,69,Y,-2.63,F,2,P,95,1,4,-67,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +2,2,24217,2,2,3,1,42,2.8,-1.1,60,Y,-1.19,F,7,F,94,1,2,-53,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +5,3,24221,5,2,3,3,33,2.8,-0.06,67,Y,-0.72,F,7,F,95,2,3,-60,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +4,3,24245,4,2,7,1,41,2.8,-0.37,66,Y,-0.76,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +4,4,24279,4,1,7,2,31,2.8,-0.39,67,Y,-0.55,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,5,24308,2,2,7,2,28.5,2.8,-1.06,63,Y,-0.25,P,2,P,96,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,572.1052505,d 520-580,d 520-580,0.9857092,2.8 +2,1,24326,2,2,7,3,36,2.8,-1.07,68,Y,-1.5,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,1,24348,1,2,3,1,32,2.8,-1.57,68,Y,-1.46,P,7,P,94,1,5,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +1,1,24353,1,2,7,3,38,2.8,-1.45,67,Y,-1.59,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +1,4,24363,2,1,4,3,26,2.8,-1.26,69,Y,-0.48,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,532.631568,d 520-580,d 520-580,0.9857092,2.8 +2,5,24378,3,2,7,3,28,2.8,-0.76,67,Y,-0.2,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,564.210514,d 520-580,d 520-580,0.9857092,2.8 +9,9,24388,9,2,7,2,34,2.8,0.91,63,Y,0.93,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +3,3,24394,4,2,7,3,37,2.8,-0.52,66,Y,-0.82,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,10,24413,10,2,7,1,40,2.8,1.69,66,Y,1.41,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,2,24427,3,2,7,3,23,2.8,-0.58,52,Y,-1.26,F,7,F,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,485.263149,c 460-520,c 460-520,0.9857092,2.8 +5,3,24447,5,2,7,3,38,2.8,-0.17,69,Y,-0.82,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,8,24452,8,1,7,3,37,2.8,0.68,62,Y,0.73,P,2,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +2,3,24470,2,2,7,3,29,2.8,-0.89,66,Y,-0.87,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,579.999987,d 520-580,d 520-580,0.9857092,2.8 +7,7,24503,7,2,7,4,43,2.8,0.48,67,Y,0.29,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,801.052609,g 700+,h 760-820,0.9857092,2.8 +9,9,24514,9,1,7,4,34.5,2.8,1.09,66,Y,1.28,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,666.8420885,f 640-700,f 640-700,0.9857092,2.8 +1,5,24558,1,1,7,5,33,2.8,-1.28,68,Y,-0.19,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,643.157879,f 640-700,f 640-700,0.9857092,2.8 +10,10,24563,10,1,7,3,35,2.8,2.02,43,Y,1.87,P,7,P,94,1,,-36,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,2,24573,3,2,7,1,43,2.8,-0.59,62,Y,-1,P,7,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +2,4,24589,2,1,7,3,32,2.8,-1.09,69,Y,-0.47,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,9,24594,5,2,7,4,41,2.8,-0.03,59,Y,1.05,P,7,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,769.473663,g 700+,h 760-820,0.9857092,2.8 +3,3,24604,3,2,7,2,34,2.8,-0.58,62,Y,-0.91,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +9,4,24695,9,1,7,3,42,2.8,0.92,60,Y,-0.44,F,2,F,96,2,1,-58,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +3,4,24752,3,2,7,4,33,2.8,-0.54,69,Y,-0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,643.157879,f 640-700,f 640-700,0.9857092,2.8 +8,7,24854,9,1,7,3,43,2.8,0.84,68,Y,0.52,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,801.052609,g 700+,h 760-820,0.9857092,2.8 +,,24878,10,2,7,3,40,2.8,1.77,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +2,1,24918,3,1,7,3,32.5,2.8,-0.83,64,Y,-1.71,F,7,F,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +8,9,24922,8,2,6,2,39,2.8,0.7,68,Y,1.03,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,737.894717,g 700+,g 700-760,0.9857092,2.8 +3,1,24946,4,2,7,3,28,2.8,-0.49,64,Y,-1.46,P,2,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,564.210514,d 520-580,d 520-580,0.9857092,2.8 +7,6,24955,7,2,7,3,36,2.8,0.37,68,Y,0.11,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +6,9,24963,6,1,7,3,29.5,2.8,0.19,61,Y,0.92,P,7,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,587.8947235,e 580-640,e 580-640,0.9857092,2.8 +6,7,25041,6,2,7,3,39,2.8,0.06,63,Y,0.35,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,7,25044,8,2,7,1,47,2.8,0.82,64,Y,0.46,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,864.210501,g 700+,i 820+,0.9857092,2.8 +8,7,25066,8,2,7,1,45,2.8,0.68,69,Y,0.52,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.631555,g 700+,i 820+,0.9857092,2.8 +8,8,25073,8,1,7,1,43,2.8,0.73,66,Y,0.74,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,801.052609,g 700+,h 760-820,0.9857092,2.8 +6,4,25113,6,2,7,2,33.5,2.8,0.16,67,Y,-0.4,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +3,4,25217,4,2,7,3,39,2.8,-0.49,62,Y,-0.53,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +1,1,25226,1,2,6,3,25.5,2.8,-2.02,67,Y,-1.41,P,7,P,94,1,1,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,524.7368315,d 520-580,d 520-580,0.9857092,2.8 +6,9,25238,7,2,7,2,27.5,2.8,0.25,68,Y,1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,556.3157775,d 520-580,d 520-580,0.9857092,2.8 +4,5,25254,4,2,7,3,36,2.8,-0.41,67,Y,-0.15,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +6,5,25256,7,2,7,3,39,2.8,0.28,47,Y,-0.26,F,7,P,94,1,3,-40,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +7,7,25258,7,2,2,1,40,2.8,0.4,66,Y,0.32,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +,,25302,9,1,2,3,40,2.8,0.93,64,Y,,P,7,P,94,1,2,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,1,25313,1,2,7,3,38,2.8,-1.98,64,Y,-1.33,P,7,P,95,2,5,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +,,25319,,2,7,1,40,2.8,,59,Y,,P,7,P,94,2,2,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,1,25324,1,1,2,3,28,2.8,-1.38,69,Y,-1.97,F,7,F,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,564.210514,d 520-580,d 520-580,0.9857092,2.8 +9,9,25340,9,1,7,3,36,2.8,1.03,68,Y,1.01,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +9,10,25370,9,2,7,3,47,2.8,0.92,60,Y,1.52,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,864.210501,g 700+,i 820+,0.9857092,2.8 +10,9,25420,10,2,7,1,42,2.8,1.44,55,Y,1.03,P,2,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +4,4,25427,4,2,7,3,36,2.8,-0.35,63,Y,-0.51,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +8,9,25430,8,2,7,1,38,2.8,0.77,70,Y,0.93,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,722.105244,g 700+,g 700-760,0.9857092,2.8 +10,9,25435,10,2,7,1,40,2.8,1.45,63,Y,1,P,2,P,96,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +1,1,25438,1,2,6,1,28,2.8,-1.64,68,Y,-1.43,P,7,P,94,1,5,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,564.210514,d 520-580,d 520-580,0.9857092,2.8 +7,4,25463,7,2,2,1,37,2.8,0.36,67,Y,-0.5,P,7,P,95,2,5,-60,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,706.315771,g 700+,g 700-760,0.9857092,2.8 +5,8,25488,5,1,7,3,37,2.8,-0.17,66,Y,0.86,P,2,P,95,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +8,7,25489,8,2,7,3,33,2.8,0.67,52,Y,0.54,P,2,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,643.157879,f 640-700,f 640-700,0.9857092,2.8 +6,3,25529,6,1,7,3,42,2.8,0.17,68,Y,-0.79,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +,,25613,,1,6,6,18,2.8,,62,Y,,F,2,P,95,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,406.315784,b 400-460,b 400-460,0.9857092,2.8 +9,7,25615,9,2,7,3,34,2.8,0.89,68,Y,0.44,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +1,1,25616,1,2,6,3,36,2.8,-1.98,69,Y,-1.97,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +7,9,25617,7,1,7,3,34,2.8,0.36,44,Y,0.93,P,7,P,94,1,2,-37,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +,,25623,2,1,7,3,34,2.8,-1.15,67,X,,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +3,4,25675,3,1,7,3,34,2.8,-0.58,68,Y,-0.29,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +,,25697,,1,7,5,29.5,2.8,,37,Y,,P,7,P,94,1,5,-30,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,587.8947235,e 580-640,e 580-640,0.9857092,2.8 +7,6,25708,7,1,7,2,35.5,2.8,0.33,69,Y,0.03,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,682.6315615,f 640-700,f 640-700,0.9857092,2.8 +3,6,25727,4,2,5,6,28,2.8,-0.42,48,Y,0.19,F,7,F,94,1,3,-41,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,564.210514,d 520-580,d 520-580,0.9857092,2.8 +3,5,25729,3,1,7,3,39,2.8,-0.57,67,Y,-0.24,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +9,9,25753,9,2,7,5,37,2.8,1.04,61,Y,0.96,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,706.315771,g 700+,g 700-760,0.9857092,2.8 +3,4,25771,3,1,7,1,41,2.8,-0.55,69,Y,-0.35,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +9,8,25776,10,1,7,6,26,2.8,1.26,68,Y,0.9,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,532.631568,d 520-580,d 520-580,0.9857092,2.8 +4,7,25784,4,2,7,3,38,2.8,-0.35,67,Y,0.46,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +7,7,25804,7,1,7,3,34,2.8,0.34,67,Y,0.43,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +1,1,25835,1,2,7,3,25.3,2.8,-1.89,68,Y,-1.75,F,7,F,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,521.5789369,d 520-580,d 520-580,0.9857092,2.8 +2,2,25905,3,2,7,3,30,2.8,-0.79,68,Y,-1.2,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,595.78946,e 580-640,e 580-640,0.9857092,2.8 +10,10,25969,10,1,7,3,42,2.8,1.88,63,Y,2.22,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +5,3,25977,6,2,7,4,39,2.8,0.02,63,Y,-0.8,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +3,4,26005,3,2,7,4,36,2.8,-0.67,59,Y,-0.44,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,690.526298,f 640-700,f 640-700,0.9857092,2.8 +7,9,26018,7,1,7,3,41,2.8,0.49,64,Y,1.29,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +2,2,26020,2,2,8,1,32,2.8,-1.13,65,Y,-1.3,F,2,F,95,1,4,-63,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,4,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,6,26023,5,1,7,4,42,2.8,-0.15,66,Y,0.17,P,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +10,10,26030,10,2,7,1,40,2.8,1.46,63,Y,1.48,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.68419,g 700+,g 700-760,0.9857092,2.8 +3,5,26041,4,2,7,3,32.5,2.8,-0.45,65,Y,-0.15,F,7,F,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +1,3,26087,2,2,7,6,35,2.8,-1.24,62,Y,-0.7,F,7,F,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,674.736825,f 640-700,f 640-700,0.9857092,2.8 +3,3,26104,3,1,3,3,27,2.8,-0.55,69,Y,-0.76,P,2,P,94,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +1,1,26110,1,1,7,2,32,2.8,-1.53,54,Y,-1.35,P,2,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,627.368406,e 580-640,e 580-640,0.9857092,2.8 +3,5,26130,3,1,7,4,30,2.8,-0.51,66,Y,-0.23,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,595.78946,e 580-640,e 580-640,0.9857092,2.8 +5,6,26177,5,2,7,3,42,2.8,-0.16,53,Y,0.03,P,7,P,94,1,2,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,785.263136,g 700+,h 760-820,0.9857092,2.8 +,,26189,,2,7,1,41,2.8,,53,Y,-1.2,P,2,P,96,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +4,2,26195,5,2,4,6,25.5,2.8,-0.09,66,Y,-1.12,F,7,F,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,524.7368315,d 520-580,d 520-580,0.9857092,2.8 +1,1,26201,1,1,7,1,39,2.8,-1.81,68,Y,-1.62,F,7,F,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,8,26213,8,2,7,1,42,2.8,0.81,61,Y,0.69,P,2,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +3,1,26263,3,2,6,1,42,2.8,-0.65,68,Y,-1.66,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +9,8,26269,9,2,7,1,36.5,2.8,1.26,63,Y,0.66,P,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,698.4210345,f 640-700,f 640-700,0.9857092,2.8 +3,4,26271,4,2,7,3,26,2.8,-0.46,68,Y,-0.5,P,2,P,96,2,,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,532.631568,d 520-580,d 520-580,0.9857092,2.8 +2,2,26275,3,1,7,2,32.5,2.8,-0.73,68,Y,-1.19,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,635.2631425,e 580-640,e 580-640,0.9857092,2.8 +10,10,26294,10,1,7,4,35,2.8,2.36,50,Y,3,P,7,P,95,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.736825,f 640-700,f 640-700,0.9857092,2.8 +10,10,26295,10,1,7,1,47,2.8,1.66,49,Y,1.78,P,7,P,94,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,864.210501,g 700+,i 820+,0.9857092,2.8 +3,2,26345,3,2,7,3,36,2.8,-0.65,66,Y,-1.15,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +1,2,26362,1,1,3,3,24,2.8,-1.82,65,Y,-1.25,F,7,P,95,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,501.052622,c 460-520,c 460-520,0.9857092,2.8 +1,1,26423,1,2,5,3,22,2.8,-2.06,63,Y,-1.75,F,7,F,95,2,2,-56,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,469.473676,c 460-520,c 460-520,0.9857092,2.8 +,,26424,,2,7,3,40,2.8,,60,Y,,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,4,26440,4,1,3,3,27,2.8,-0.28,63,Y,-0.4,F,2,F,96,2,2,-61,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,548.421041,d 520-580,d 520-580,0.9857092,2.8 +1,3,26447,1,1,8,3,35,2.8,-1.55,68,Y,-0.78,P,2,P,95,1,4,-66,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +8,9,26468,8,1,7,2,31,2.8,0.63,59,Y,0.87,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,611.578933,e 580-640,e 580-640,0.9857092,2.8 +2,2,26536,2,1,5,4,27.5,2.8,-0.85,69,Y,-1.17,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,556.3157775,d 520-580,d 520-580,0.9857092,2.8 +1,1,26567,1,1,3,4,32,2.8,-2.1,66,Y,-1.48,P,2,P,95,1,2,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,627.368406,e 580-640,e 580-640,0.9857092,2.8 +5,4,26578,5,1,7,3,40,2.8,-0.13,68,Y,-0.49,P,7,P,94,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +,,26615,,1,7,3,45,2.8,,59,Y,,P,2,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.631555,g 700+,i 820+,0.9857092,2.8 +7,4,26676,7,2,7,3,35,2.8,0.31,59,Y,-0.3,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.736825,f 640-700,f 640-700,0.9857092,2.8 +8,9,26751,8,2,8,3,37,2.8,0.75,67,Y,1.22,P,7,P,94,1,,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,706.315771,g 700+,g 700-760,0.9857092,2.8 +2,2,26770,3,1,7,2,33,2.8,-0.76,68,Y,-0.92,F,7,P,96,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +6,9,26778,6,2,7,3,38,2.8,0.25,58,Y,1.05,P,2,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +8,9,26798,8,1,7,3,32,2.8,0.6,59,Y,1.28,P,2,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.368406,e 580-640,e 580-640,0.9857092,2.8 +8,6,26811,8,1,7,3,34,2.8,0.6,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +4,4,26840,4,2,7,4,34,2.8,-0.32,67,Y,-0.47,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,658.947352,f 640-700,f 640-700,0.9857092,2.8 +4,1,26841,4,1,3,3,26,2.8,-0.4,66,Y,-1.42,F,7,F,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,532.631568,d 520-580,d 520-580,0.9857092,2.8 +3,3,26843,3,2,7,3,39,2.8,-0.56,66,Y,-0.8,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,7,26845,8,2,7,2,33,2.8,0.59,62,Y,0.32,F,7,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,643.157879,f 640-700,f 640-700,0.9857092,2.8 +2,1,26853,2,2,7,3,41,2.8,-1.03,68,Y,-1.42,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,769.473663,g 700+,h 760-820,0.9857092,2.8 +3,4,26864,3,2,7,1,42,2.8,-0.54,66,Y,-0.28,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,785.263136,g 700+,h 760-820,0.9857092,2.8 +1,1,26887,2,2,6,3,34,2.8,-1.26,68,Y,-1.79,P,2,P,95,1,5,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,8,26896,6,1,7,2,34,2.8,0.13,67,Y,0.68,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +5,4,26900,5,2,7,3,34,2.8,-0.12,68,Y,-0.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +1,1,26901,2,1,7,2,34,2.8,-1.16,69,Y,-1.63,F,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,658.947352,f 640-700,f 640-700,0.9857092,2.8 +10,9,26910,10,2,7,1,41,2.8,1.54,66,Y,1.27,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +1,2,26946,1,2,7,1,44,2.8,-2.16,,Y,-1.12,P,7,P,94,1,5,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.842082,g 700+,h 760-820,0.9857092,2.8 +5,6,26963,5,2,7,3,40,2.8,-0.15,64,Y,0.1,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.68419,g 700+,g 700-760,0.9857092,2.8 +4,3,26978,5,2,6,2,35,2.8,-0.24,67,Y,-0.71,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.736825,f 640-700,f 640-700,0.9857092,2.8 +5,6,27037,5,2,7,3,36,2.8,-0.16,64,Y,0.24,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +8,8,27047,8,1,7,2,28,2.8,0.67,59,Y,0.58,P,7,P,94,1,5,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,564.210514,d 520-580,d 520-580,0.9857092,2.8 +6,7,27081,6,1,7,3,39,2.8,0.06,67,Y,0.49,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,6,27123,8,2,7,1,33.5,2.8,0.7,64,Y,0.27,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,651.0526155,f 640-700,f 640-700,0.9857092,2.8 +1,2,27161,2,1,2,3,36,2.8,-1.17,68,Y,-0.98,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,690.526298,f 640-700,f 640-700,0.9857092,2.8 +,,27174,,2,3,3,28,2.8,,66,Y,-0.49,P,2,P,95,1,2,-64,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,564.210514,d 520-580,d 520-580,0.9857092,2.8 +5,4,27183,5,2,7,4,39,2.8,-0.13,60,Y,-0.27,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,737.894717,g 700+,g 700-760,0.9857092,2.8 +8,9,27227,8,1,7,4,37,2.8,0.73,53,Y,1.25,P,7,P,95,2,5,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,706.315771,g 700+,g 700-760,0.9857092,2.8 +10,7,27261,10,1,7,4,42,2.8,1.67,64,Y,0.3,P,7,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,785.263136,g 700+,h 760-820,0.9857092,2.8 +4,3,27270,4,2,7,1,39,2.8,-0.37,65,Y,-0.67,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.894717,g 700+,g 700-760,0.9857092,2.8 +2,3,27277,3,1,7,1,33,2.8,-0.76,67,Y,-0.61,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,643.157879,f 640-700,f 640-700,0.9857092,2.8 +9,10,27303,9,2,7,1,36,2.8,1.28,66,Y,1.53,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,690.526298,f 640-700,f 640-700,0.9857092,2.8 +3,3,27375,3,2,2,4,32,2.8,-0.55,70,Y,-0.85,P,7,P,94,1,3,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,627.368406,e 580-640,e 580-640,0.9857092,2.8 +,,27392,1,1,7,3,38,2.8,-1.33,69,X,,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,722.105244,g 700+,g 700-760,0.9857092,2.8 +,,27434,5,2,2,3,34,2.8,-0.2,63,X,,F,7,F,94,2,3,-56,male,1,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,658.947352,f 640-700,f 640-700,0.9857092,2.8 +6,8,27438,6,1,7,1,41,2.8,0.24,68,Y,0.73,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,769.473663,g 700+,h 760-820,0.9857092,2.8 +9,9,27,9,1,7,5,41,3.9,1.08,64,Y,0.88,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +4,5,60,4,2,7,5,36,3.9,-0.45,68,Y,-0.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,800.526298,g 700+,h 760-820,0.9859396,3.9 +1,1,64,1,2,7,5,36,3.9,-1.5,67,Y,-2.18,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,800.526298,g 700+,h 760-820,0.9859396,3.9 +2,2,111,3,2,7,2,32,3.9,-0.88,69,Y,-1.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,737.368406,g 700+,g 700-760,0.9859396,3.9 +10,10,210,10,1,7,4,42,3.9,2.18,70,Y,2,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +5,4,222,5,1,7,1,40,3.9,-0.16,69,Y,-0.37,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +4,7,265,4,2,7,4,36,3.9,-0.25,49,Y,0.39,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,800.526298,g 700+,h 760-820,0.9859396,3.9 +7,9,316,7,2,7,5,41,3.9,0.61,64,Y,1.24,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,322,10,2,6,4,36,3.9,1.77,69,Y,1.91,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,800.526298,g 700+,h 760-820,0.9859396,3.9 +7,7,344,7,1,3,5,36,3.9,0.6,64,Y,0.3,P,7,P,94,1,2,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,800.526298,g 700+,h 760-820,0.9859396,3.9 +8,7,347,8,1,7,3,42,3.9,0.61,62,Y,0.47,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +6,4,380,6,2,7,1,41,3.9,0.19,68,Y,-0.46,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +7,10,398,7,2,7,4,44,3.9,0.44,63,Y,1.31,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +8,7,413,8,1,7,1,38,3.9,0.76,58,Y,0.46,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +7,7,428,7,1,7,4,46,3.9,0.43,48,Y,0.33,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +7,4,443,7,2,7,1,39,3.9,0.54,68,Y,-0.49,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +3,5,456,3,1,7,4,43,3.9,-0.57,69,Y,-0.04,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +10,10,529,10,1,7,4,36,3.9,1.9,69,Y,2.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,800.526298,g 700+,h 760-820,0.9859396,3.9 +6,7,534,6,2,7,1,44,3.9,0.19,69,Y,0.29,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,926.842082,g 700+,i 820+,0.9859396,3.9 +,,664,1,1,3,5,33,3.9,-1.43,68,Y,,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,753.157879,g 700+,g 700-760,0.9859396,3.9 +10,9,666,10,1,7,1,34.5,3.9,1.33,69,Y,0.97,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,776.8420885,g 700+,h 760-820,0.9859396,3.9 +,,755,,1,7,5,47,3.9,,69,Y,0,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +4,5,767,5,2,7,4,44,3.9,-0.24,67,Y,-0.12,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +7,6,851,8,2,7,4,45.5,3.9,0.55,69,Y,0.15,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,950.5262915,g 700+,i 820+,0.9859396,3.9 +3,5,859,3,1,7,3,31,3.9,-0.58,69,Y,-0.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.578933,g 700+,g 700-760,0.9859396,3.9 +6,7,861,6,2,7,4,32.5,3.9,0.2,67,Y,0.36,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,745.2631425,g 700+,g 700-760,0.9859396,3.9 +6,3,911,6,2,7,5,44,3.9,0.09,63,Y,-0.56,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +10,9,928,10,1,7,3,32,3.9,1.31,66,Y,1.21,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.368406,g 700+,g 700-760,0.9859396,3.9 +9,10,977,10,2,7,3,42,3.9,1.28,56,Y,2.22,P,7,P,95,2,4,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +5,5,1028,5,1,7,4,42,3.9,-0.18,69,Y,-0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +2,4,1030,2,1,7,4,44,3.9,-1.04,69,Y,-0.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +9,10,1044,9,1,7,3,41,3.9,1.01,70,Y,1.36,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.473663,g 700+,i 820+,0.9859396,3.9 +9,7,1046,9,2,7,1,38,3.9,1.18,68,Y,0.31,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +10,10,1102,10,1,7,1,42,3.9,1.47,69,Y,1.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +10,10,1151,10,1,7,5,46,3.9,1.84,58,Y,2.39,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +10,10,1153,10,1,7,4,41,3.9,2.26,68,Y,2.19,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +5,4,1195,5,1,7,1,31,3.9,-0.04,52,Y,-0.38,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.578933,g 700+,g 700-760,0.9859396,3.9 +8,10,1293,8,2,7,3,36,3.9,0.72,69,Y,1.58,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +6,10,1294,6,1,7,1,37,3.9,0.16,48,Y,1.45,P,7,P,95,2,2,-41,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +4,7,1353,5,1,7,3,35,3.9,-0.18,62,Y,0.29,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,784.736825,g 700+,h 760-820,0.9859396,3.9 +3,4,1410,3,2,7,5,42,3.9,-0.63,68,Y,-0.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +,,1458,,1,2,5,41,3.9,,69,Y,0,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +,,1459,,2,6,1,35,3.9,,65,Y,,P,7,P,94,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +8,10,1478,8,1,7,4,39,3.9,0.67,70,Y,1.43,P,7,P,94,,4,-63,female,,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +8,8,1498,8,1,7,4,39,3.9,0.74,68,Y,0.59,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +8,8,1514,8,2,7,1,39,3.9,0.64,67,Y,0.77,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +9,10,1526,9,2,7,1,46,3.9,0.92,67,Y,1.44,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,958.421028,g 700+,i 820+,0.9859396,3.9 +7,9,1614,7,2,7,1,40,3.9,0.43,68,Y,1.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +5,6,1618,5,2,8,3,37,3.9,-0.05,69,Y,0,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +8,6,1684,9,1,7,2,33,3.9,0.83,69,Y,-0.03,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,753.157879,g 700+,g 700-760,0.9859396,3.9 +10,10,1704,10,1,7,5,35,3.9,1.65,69,Y,1.68,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,784.736825,g 700+,h 760-820,0.9859396,3.9 +6,3,1765,6,2,7,1,38,3.9,0.2,69,Y,-0.77,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +10,10,1780,10,1,7,3,48,3.9,2.02,69,Y,2.52,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,989.999974,g 700+,i 820+,0.9859396,3.9 +1,3,1802,1,1,7,1,40,3.9,-1.35,70,Y,-0.69,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +10,10,1822,10,1,7,1,36,3.9,1.92,69,Y,1.44,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +4,5,1869,5,2,7,4,37,3.9,-0.24,69,Y,-0.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +,,1908,,1,7,1,39,3.9,,70,Y,,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +,,1924,,1,7,5,48,3.9,,59,Y,0,P,2,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +7,9,1937,7,2,7,4,42,3.9,0.54,69,Y,1.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +4,6,1947,5,1,7,1,38,3.9,-0.2,69,Y,0.22,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +10,10,1950,10,1,7,1,38,3.9,2.41,60,Y,2.25,P,2,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +1,1,1985,2,1,3,4,28,3.9,-1.24,69,Y,-1.44,P,7,P,94,1,,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,674.210514,f 640-700,f 640-700,0.9859396,3.9 +7,8,2061,8,2,7,1,40,3.9,0.6,69,Y,0.77,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +3,3,2085,4,1,7,4,37,3.9,-0.49,69,Y,-0.54,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +2,1,2094,2,2,7,4,45,3.9,-0.85,68,Y,-1.79,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +9,10,2142,9,1,7,1,37,3.9,1.14,69,Y,1.54,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +2,1,2233,2,1,7,5,44,3.9,-1.07,70,Y,-1.55,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +6,6,2257,6,1,6,3,40,3.9,0.14,67,Y,0.22,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,863.68419,g 700+,i 820+,0.9859396,3.9 +1,2,2280,1,1,7,1,34,3.9,-1.28,70,Y,-1.01,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,2293,10,1,7,1,40,3.9,2.22,68,Y,2.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +4,5,2333,4,2,7,4,40,3.9,-0.39,68,Y,-0.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +4,6,2409,4,2,7,5,44,3.9,-0.27,69,Y,0.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +7,7,2417,7,1,7,3,28.5,3.9,0.48,70,Y,0.39,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,682.1052505,f 640-700,f 640-700,0.9859396,3.9 +10,10,2426,10,2,7,1,36,3.9,1.99,69,Y,1.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +5,3,2428,5,1,7,5,40,3.9,-0.12,60,Y,-0.5,F,2,P,95,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,863.68419,g 700+,i 820+,0.9859396,3.9 +3,2,2530,4,1,7,1,36,3.9,-0.44,68,Y,-1.14,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +7,7,2641,7,2,7,1,43,3.9,0.47,68,Y,0.38,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +10,10,2781,10,2,7,1,38,3.9,1.58,52,Y,1.73,P,7,P,94,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +7,7,2817,7,2,7,4,40,3.9,0.44,69,Y,0.37,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +9,7,2847,9,2,7,4,40,3.9,0.98,60,Y,0.49,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +8,8,2901,8,2,7,1,35,3.9,0.8,69,Y,0.77,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +7,8,2909,7,2,7,1,37,3.9,0.5,67,Y,0.57,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +5,9,2915,5,2,7,4,42,3.9,-0.06,68,Y,1.05,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +,,2916,,2,7,5,39,3.9,,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,847.894717,g 700+,i 820+,0.9859396,3.9 +3,4,2954,4,2,7,4,42,3.9,-0.49,70,Y,-0.37,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +3,3,2958,3,1,7,5,41,3.9,-0.55,68,Y,-0.73,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +9,9,3032,9,2,7,5,44,3.9,1.07,66,Y,1.09,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +9,7,3099,9,1,7,1,40,3.9,0.94,67,Y,0.53,P,2,P,96,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +9,9,3111,10,1,7,1,42,3.9,1.3,68,Y,1.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +1,3,3119,2,1,3,4,24,3.9,-1.21,69,Y,-0.82,P,7,P,94,1,,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,611.052622,e 580-640,e 580-640,0.9859396,3.9 +9,8,3130,9,2,7,1,32,3.9,1.14,66,Y,0.74,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.368406,g 700+,g 700-760,0.9859396,3.9 +5,3,3134,5,2,7,5,42,3.9,-0.07,69,Y,-0.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +,,3144,,1,7,2,37,3.9,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,816.315771,g 700+,h 760-820,0.9859396,3.9 +7,4,3162,7,2,7,1,39,3.9,0.4,69,Y,-0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +10,10,3173,10,2,7,1,42,3.9,2.31,69,Y,2.45,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +7,8,3177,7,1,7,5,45,3.9,0.52,68,Y,0.62,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +,,3212,7,1,7,5,46,3.9,0.55,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +6,8,3236,6,1,7,4,42,3.9,0.06,67,Y,0.61,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +10,9,3269,10,2,7,4,41,3.9,1.6,69,Y,1.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +7,7,3270,7,2,7,4,30,3.9,0.42,69,Y,0.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,705.78946,g 700+,g 700-760,0.9859396,3.9 +10,10,3301,10,1,7,1,37,3.9,1.69,47,Y,2.05,P,7,P,94,1,2,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +8,8,3390,8,1,7,4,34.5,3.9,0.76,69,Y,0.83,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,776.8420885,g 700+,h 760-820,0.9859396,3.9 +7,5,3435,7,2,7,1,28.5,3.9,0.49,49,Y,-0.05,P,7,P,94,2,2,-42,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,682.1052505,f 640-700,f 640-700,0.9859396,3.9 +6,9,3477,7,2,7,1,36,3.9,0.32,68,Y,0.97,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,10,3490,9,2,7,1,35,3.9,1.01,52,Y,1.67,P,2,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +2,3,3504,2,1,3,4,21,3.9,-1.09,70,Y,-0.64,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,563.684203,d 520-580,d 520-580,0.9859396,3.9 +4,4,3519,4,2,7,5,43,3.9,-0.26,68,Y,-0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +8,7,3619,8,2,7,1,35,3.9,0.83,69,Y,0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +8,10,3636,8,1,7,4,46,3.9,0.59,69,Y,1.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +5,4,3685,6,1,7,1,39,3.9,0.07,61,Y,-0.5,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +10,10,3702,10,2,7,3,38,3.9,1.93,69,Y,2.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +10,10,3711,10,1,7,1,39,3.9,1.33,65,Y,1.63,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +9,7,3773,9,1,7,3,42,3.9,0.93,69,Y,0.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +5,2,3816,5,2,7,5,41,3.9,0.04,63,Y,-0.92,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,3952,10,2,7,1,46,3.9,2.02,65,Y,2.06,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,958.421028,g 700+,i 820+,0.9859396,3.9 +9,9,4139,9,1,7,1,34,3.9,1.28,64,Y,1.26,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +7,8,4183,7,2,7,4,42,3.9,0.31,64,Y,0.7,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +9,9,4234,9,2,7,5,46,3.9,1.04,69,Y,1.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +10,10,4240,10,2,7,1,39,3.9,1.51,66,Y,1.42,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +8,7,4241,8,2,7,3,33,3.9,0.59,69,Y,0.45,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +5,6,4276,5,2,7,5,43,3.9,-0.07,69,Y,0.1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +10,9,4288,10,2,7,4,48,3.9,1.94,69,Y,1.14,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +7,5,4290,7,2,7,4,42,3.9,0.38,57,Y,-0.02,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +9,9,4307,8,2,7,5,40,3.9,0.96,58,Y,0.9,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,863.68419,g 700+,i 820+,0.9859396,3.9 +10,10,4364,10,1,7,1,42,3.9,1.31,68,Y,1.51,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +8,7,4450,8,2,7,4,38,3.9,0.85,69,Y,0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.105244,g 700+,i 820+,0.9859396,3.9 +4,4,4467,4,2,7,1,31,3.9,-0.28,68,Y,-0.5,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.578933,g 700+,g 700-760,0.9859396,3.9 +9,9,4503,9,2,7,4,48,3.9,1.08,68,Y,0.96,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +10,10,4611,10,1,7,5,46,3.9,1.76,61,Y,1.24,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +1,2,4631,1,2,7,5,37,3.9,-1.38,69,Y,-1.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,816.315771,g 700+,h 760-820,0.9859396,3.9 +6,6,4643,6,2,7,4,46,3.9,0.2,69,Y,0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +10,10,4655,10,1,6,3,37,3.9,2.22,65,Y,2.55,P,7,P,95,2,3,-58,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +10,10,4658,10,1,3,2,31,3.9,1.25,68,Y,1.75,P,7,P,95,2,4,-61,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,721.578933,g 700+,g 700-760,0.9859396,3.9 +10,10,4783,10,2,7,3,37,3.9,1.32,66,Y,1.56,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +10,9,4788,10,1,7,3,35,3.9,1.55,49,Y,1.3,P,2,P,95,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,784.736825,g 700+,h 760-820,0.9859396,3.9 +7,9,4789,8,2,7,4,46,3.9,0.55,69,Y,1.05,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +10,10,4797,10,1,7,1,40,3.9,1.35,69,Y,1.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +7,9,4832,7,1,7,3,40,3.9,0.44,69,Y,1.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,863.68419,g 700+,i 820+,0.9859396,3.9 +9,8,4841,9,1,7,1,41,3.9,1.02,69,Y,0.79,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +10,9,4891,10,1,7,3,34,3.9,1.43,69,Y,1.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.947352,g 700+,h 760-820,0.9859396,3.9 +9,8,4894,9,1,7,3,34,3.9,1.04,69,Y,0.76,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.947352,g 700+,h 760-820,0.9859396,3.9 +,,4921,,1,7,1,29,3.9,,69,Y,-0.98,F,7,P,96,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,689.999987,f 640-700,f 640-700,0.9859396,3.9 +6,9,4931,6,2,7,1,31,3.9,0.22,68,Y,0.9,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.578933,g 700+,g 700-760,0.9859396,3.9 +4,5,4951,4,2,7,1,34,3.9,-0.29,68,Y,-0.23,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +7,6,4995,7,2,7,5,47,3.9,0.49,68,Y,0.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +5,6,5016,6,1,7,1,36,3.9,0.09,70,Y,0.1,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,9,5102,9,1,7,1,35,3.9,1.07,69,Y,1.25,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +4,5,5128,5,1,7,1,35.5,3.9,-0.2,68,Y,-0.04,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.6315615,g 700+,h 760-820,0.9859396,3.9 +4,3,5151,4,2,7,4,48,3.9,-0.25,69,Y,-0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +9,10,5172,9,1,7,1,27,3.9,0.9,56,Y,1.76,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,658.421041,f 640-700,f 640-700,0.9859396,3.9 +6,8,5192,6,1,7,1,40,3.9,0.13,69,Y,0.75,P,6,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +7,9,5202,7,1,7,3,31,3.9,0.37,67,Y,1.04,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.578933,g 700+,g 700-760,0.9859396,3.9 +7,8,5210,8,1,2,1,41,3.9,0.59,69,Y,0.73,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +10,8,5244,10,1,7,1,33,3.9,1.35,45,Y,0.87,P,7,P,94,1,4,-38,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +4,5,5245,4,2,2,4,45,3.9,-0.44,70,Y,-0.12,P,7,P,94,1,3,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +8,8,5346,8,1,7,1,41,3.9,0.71,67,Y,0.62,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +5,4,5348,5,1,7,1,34,3.9,-0.03,69,Y,-0.43,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +7,8,5403,8,1,7,3,39,3.9,0.54,58,Y,0.58,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +10,10,5428,10,2,7,1,38,3.9,1.46,69,Y,1.37,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +2,2,5448,3,1,7,3,32,3.9,-0.74,50,Y,-1.22,F,7,F,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,737.368406,g 700+,g 700-760,0.9859396,3.9 +2,4,5525,2,1,7,4,42,3.9,-1.12,68,Y,-0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +4,5,5537,4,2,7,5,38.5,3.9,-0.32,69,Y,-0.03,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,839.9999805,g 700+,i 820+,0.9859396,3.9 +8,6,5564,8,2,7,4,42,3.9,0.78,70,Y,0.24,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +5,3,5603,5,1,1,1,28,3.9,-0.01,69,Y,-0.69,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,674.210514,f 640-700,f 640-700,0.9859396,3.9 +8,9,5612,8,2,7,1,45,3.9,0.62,69,Y,1.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,942.631555,g 700+,i 820+,0.9859396,3.9 +10,10,5641,10,2,7,1,41,3.9,2.1,66,Y,2.22,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,5698,10,1,7,1,32,3.9,1.54,68,Y,1.85,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.368406,g 700+,g 700-760,0.9859396,3.9 +8,6,5720,8,1,3,3,37,3.9,0.61,69,Y,0.08,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +10,9,5730,10,2,7,3,38,3.9,1.69,69,Y,1.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +3,6,5808,4,1,7,2,30,3.9,-0.49,68,Y,-0.05,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,705.78946,g 700+,g 700-760,0.9859396,3.9 +7,7,5873,7,2,7,3,42,3.9,0.32,69,Y,0.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +8,8,5919,8,2,7,1,42,3.9,0.82,66,Y,0.85,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +1,2,5922,1,2,8,4,40,3.9,-1.37,66,Y,-1.24,P,7,P,94,1,5,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +4,3,5969,4,1,7,1,36,3.9,-0.32,70,Y,-0.69,F,7,F,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +8,9,6132,8,1,7,1,40,3.9,0.75,63,Y,1.2,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +10,10,6173,10,1,7,3,39,3.9,2.18,62,Y,2.02,P,2,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +7,5,6187,7,2,6,4,35,3.9,0.38,46,Y,-0.06,P,2,P,94,1,3,-44,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,784.736825,g 700+,h 760-820,0.9859396,3.9 +3,4,6196,3,1,7,1,44,3.9,-0.69,66,Y,-0.46,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,926.842082,g 700+,i 820+,0.9859396,3.9 +5,6,6244,5,1,7,5,46,3.9,-0.14,67,Y,0.09,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +7,7,6271,7,1,7,1,42,3.9,0.4,69,Y,0.45,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +9,7,6366,9,1,7,5,39,3.9,1.14,66,Y,0.37,P,7,P,94,2,,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,847.894717,g 700+,i 820+,0.9859396,3.9 +7,3,6388,7,2,7,1,38,3.9,0.35,59,Y,-0.75,P,7,P,94,1,1,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +,,6443,,2,7,5,46,3.9,,67,Y,0,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +10,10,6463,10,2,7,4,48,3.9,2.28,68,Y,1.76,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +7,7,6510,7,2,7,3,38,3.9,0.43,40,Y,0.33,P,7,P,94,1,3,-33,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +8,9,6512,8,1,7,1,41,3.9,0.87,60,Y,0.96,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +9,8,6542,9,1,7,4,48,3.9,1.08,68,Y,0.74,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +9,6,6546,9,2,7,5,44,3.9,1.03,68,Y,0.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +,,6610,,2,7,5,47,3.9,,69,Y,0,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +9,9,6615,9,2,7,5,45.5,3.9,1.23,69,Y,1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,950.5262915,g 700+,i 820+,0.9859396,3.9 +5,5,6636,6,1,7,1,40,3.9,0.04,,Y,-0.13,P,7,P,94,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +,,6674,,1,7,5,46,3.9,,68,Y,0,P,2,P,96,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +10,10,6744,10,2,7,3,28,3.9,2.37,62,Y,2.45,P,7,P,94,1,1,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,674.210514,f 640-700,f 640-700,0.9859396,3.9 +1,1,6765,2,1,3,1,21,3.9,-1.15,63,Y,-1.73,P,7,P,94,1,2,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,563.684203,d 520-580,d 520-580,0.9859396,3.9 +1,1,6809,1,2,4,4,41,3.9,-1.31,67,Y,-1.47,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +3,4,6819,4,1,7,3,38,3.9,-0.43,69,Y,-0.44,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +9,10,6851,9,1,7,1,40,3.9,1.28,62,Y,1.32,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +8,10,6887,8,1,7,3,44,3.9,0.74,64,Y,1.54,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,926.842082,g 700+,i 820+,0.9859396,3.9 +10,10,6888,10,1,7,3,41,3.9,2.49,62,Y,2.86,P,7,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.473663,g 700+,i 820+,0.9859396,3.9 +5,3,6890,5,1,7,3,34,3.9,-0.07,52,Y,-0.62,P,6,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,6919,10,2,7,1,37,3.9,1.45,70,Y,1.58,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +7,7,6930,7,1,7,1,34,3.9,0.48,64,Y,0.5,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,6975,10,2,7,1,34,3.9,1.99,63,Y,2.78,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +9,8,6989,9,2,7,5,41,3.9,0.97,69,Y,0.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +9,10,7014,9,1,7,3,29,3.9,1.05,68,Y,1.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.999987,f 640-700,f 640-700,0.9859396,3.9 +6,6,7165,6,2,5,4,33,3.9,0.19,68,Y,0.1,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,753.157879,g 700+,g 700-760,0.9859396,3.9 +,,7215,,1,7,1,34,3.9,,68,Y,,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +,,7336,,1,7,1,43,3.9,,67,Y,,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +10,10,7389,10,1,7,3,42,3.9,1.75,69,Y,1.82,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +5,5,7423,5,1,7,4,37,3.9,-0.14,70,Y,-0.15,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +7,6,7464,7,2,7,4,39,3.9,0.36,69,Y,0.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +6,4,7564,6,1,7,1,35,3.9,0.14,69,Y,-0.4,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +10,9,7623,10,2,7,3,41,3.9,1.59,57,Y,1.11,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,7626,10,1,7,1,34,3.9,1.83,67,Y,2.05,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,7656,10,2,7,5,44,3.9,2.18,69,Y,2,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +4,2,7674,4,1,2,4,30,3.9,-0.45,69,Y,-0.86,F,7,F,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,705.78946,g 700+,g 700-760,0.9859396,3.9 +,,7725,,2,7,5,41,3.9,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +2,2,7729,2,2,7,4,45,3.9,-0.84,69,Y,-1.02,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +10,10,7732,10,2,2,4,48,3.9,1.75,69,Y,1.76,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +3,2,7750,3,1,1,3,36,3.9,-0.58,47,Y,-0.97,F,7,F,94,1,3,-40,female,0,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +5,3,7762,5,2,2,5,39,3.9,-0.15,69,Y,-0.81,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,847.894717,g 700+,i 820+,0.9859396,3.9 +10,10,7770,10,1,7,1,46,3.9,1.41,52,Y,1.69,P,7,P,94,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,958.421028,g 700+,i 820+,0.9859396,3.9 +7,9,7827,7,2,7,4,40,3.9,0.54,68,Y,1.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +9,10,7833,9,1,7,5,47,3.9,1.39,69,Y,1.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +3,3,7858,3,1,6,5,40,3.9,-0.63,69,Y,-0.77,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,863.68419,g 700+,i 820+,0.9859396,3.9 +4,4,8005,4,1,7,3,38,3.9,-0.32,69,Y,-0.5,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +,,8086,,1,7,5,48,3.9,,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +9,9,8089,9,1,7,3,36,3.9,1.13,69,Y,0.93,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +4,4,8108,4,2,7,3,37,3.9,-0.36,69,Y,-0.4,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +3,6,8148,3,1,7,1,36,3.9,-0.64,69,Y,0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +4,2,8150,4,1,7,3,36,3.9,-0.31,57,Y,-0.98,P,7,P,94,1,2,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +7,8,8213,7,1,7,4,45,3.9,0.46,69,Y,0.72,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +9,9,8218,9,1,7,3,35.5,3.9,1.01,69,Y,1.3,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.6315615,g 700+,h 760-820,0.9859396,3.9 +6,5,8246,6,1,7,4,46,3.9,0.15,66,Y,-0.15,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +2,4,8299,2,1,7,1,35,3.9,-1.05,55,Y,-0.37,P,7,P,93,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +9,8,8313,9,2,7,3,33,3.9,1.12,69,Y,0.69,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +8,10,8337,8,1,7,5,38,3.9,0.93,69,Y,1.32,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,832.105244,g 700+,i 820+,0.9859396,3.9 +7,5,8340,7,1,2,4,47,3.9,0.43,69,Y,-0.04,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +3,2,8344,3,1,7,3,42,3.9,-0.56,68,Y,-0.91,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +7,7,8359,7,1,7,1,41,3.9,0.46,68,Y,0.37,P,6,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +6,5,8442,6,1,7,1,36,3.9,0.29,69,Y,-0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +10,9,8467,10,1,7,1,41,3.9,1.35,65,Y,1.12,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +,,8556,5,1,7,5,42,3.9,-0.21,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +4,5,8573,4,2,7,4,47,3.9,-0.38,65,Y,0.02,P,7,P,95,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +10,10,8589,10,1,7,4,47,3.9,1.61,58,Y,1.62,P,7,P,95,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +9,10,8612,9,1,7,4,46,3.9,1.07,67,Y,1.75,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +8,10,8645,8,1,7,4,37,3.9,0.84,65,Y,1.43,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +3,2,8660,3,1,7,4,44,3.9,-0.61,69,Y,-0.89,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +1,1,8678,2,1,7,1,27,3.9,-1.2,69,Y,-1.45,F,7,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,658.421041,f 640-700,f 640-700,0.9859396,3.9 +5,4,8704,5,2,7,4,45,3.9,-0.18,67,Y,-0.32,F,7,P,96,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +10,9,8727,10,2,7,1,42,3.9,1.48,65,Y,1.12,P,2,P,94,1,,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +8,9,8755,8,1,7,1,42,3.9,0.65,69,Y,0.92,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +10,10,8809,10,2,7,2,25,3.9,1.69,69,Y,1.85,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,626.842095,e 580-640,e 580-640,0.9859396,3.9 +8,9,8873,8,2,7,1,36,3.9,0.62,69,Y,1.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +5,4,8893,5,1,7,1,36,3.9,-0.12,68,Y,-0.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +,,8898,,2,7,4,44,3.9,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +,,8947,,1,7,5,48,3.9,,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +3,2,8971,3,2,7,5,45,3.9,-0.78,69,Y,-0.88,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +3,5,8976,4,1,7,3,33,3.9,-0.42,,Y,-0.04,P,7,P,94,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +10,10,8987,10,1,7,3,39,3.9,1.54,68,Y,1.61,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +3,5,9038,4,2,7,3,38,3.9,-0.48,69,Y,-0.16,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +3,4,9058,3,1,2,4,44,3.9,-0.61,69,Y,-0.25,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +3,3,9121,3,2,7,4,48,3.9,-0.73,70,Y,-0.59,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +1,2,9133,2,1,2,4,37,3.9,-1.17,68,Y,-1.11,F,2,P,95,1,3,-66,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +9,7,9180,9,2,7,3,37,3.9,1.02,68,Y,0.39,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +8,8,9186,8,1,7,3,40,3.9,0.83,63,Y,0.86,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,863.68419,g 700+,i 820+,0.9859396,3.9 +9,9,9210,9,1,7,4,48,3.9,1.25,69,Y,0.95,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +9,10,9218,9,2,7,1,41,3.9,0.95,68,Y,1.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +6,6,9224,6,2,7,5,40,3.9,0.24,68,Y,0.06,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,863.68419,g 700+,i 820+,0.9859396,3.9 +1,2,9243,1,1,7,3,37,3.9,-1.42,55,Y,-1.12,F,2,P,95,1,5,-53,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +3,3,9275,4,1,7,4,28,3.9,-0.48,67,Y,-0.71,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,674.210514,f 640-700,f 640-700,0.9859396,3.9 +8,8,9295,8,2,7,4,47,3.9,0.7,62,Y,0.84,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +10,10,9356,10,1,7,1,37,3.9,1.91,58,Y,2.18,P,6,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +10,10,9358,10,1,7,3,39,3.9,1.3,63,Y,2.67,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +3,5,9410,3,1,7,5,44,3.9,-0.66,68,Y,-0.08,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +5,9,9451,5,2,7,5,41,3.9,-0.15,68,Y,0.85,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,9484,10,2,7,3,41,3.9,1.94,67,Y,2.45,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.473663,g 700+,i 820+,0.9859396,3.9 +3,3,9488,4,2,7,4,33,3.9,-0.48,60,Y,-0.68,F,7,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,753.157879,g 700+,g 700-760,0.9859396,3.9 +10,10,9557,10,2,7,3,35,3.9,1.47,68,Y,1.84,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,784.736825,g 700+,h 760-820,0.9859396,3.9 +7,5,9580,7,1,3,2,27,3.9,0.39,69,Y,-0.14,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,658.421041,f 640-700,f 640-700,0.9859396,3.9 +4,5,9687,4,1,7,5,47,3.9,-0.32,62,Y,-0.04,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +8,10,9770,8,1,7,2,40,3.9,0.77,68,Y,1.43,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,863.68419,g 700+,i 820+,0.9859396,3.9 +7,10,9783,7,1,7,4,35,3.9,0.52,68,Y,1.93,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,784.736825,g 700+,h 760-820,0.9859396,3.9 +10,8,9791,10,1,7,4,33,3.9,1.56,61,Y,0.57,P,7,P,95,2,2,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,753.157879,g 700+,g 700-760,0.9859396,3.9 +4,5,9832,4,2,7,2,38,3.9,-0.43,66,Y,-0.2,P,7,P,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,832.105244,g 700+,i 820+,0.9859396,3.9 +7,7,9849,7,1,7,1,42,3.9,0.51,69,Y,0.53,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +5,6,9851,5,2,7,4,48,3.9,-0.15,69,Y,0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +4,7,9877,4,2,6,5,38,3.9,-0.31,68,Y,0.33,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,832.105244,g 700+,i 820+,0.9859396,3.9 +2,2,9935,3,2,7,4,40,3.9,-0.8,64,Y,-1.26,F,7,F,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +9,8,10029,9,1,7,1,40,3.9,1.2,69,Y,0.67,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +2,1,10045,2,2,7,4,42,3.9,-1.08,67,Y,-1.34,P,2,P,95,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +10,10,10155,10,2,7,3,32,3.9,1.64,69,Y,1.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.368406,g 700+,g 700-760,0.9859396,3.9 +6,5,10175,6,2,7,1,34,3.9,0.12,68,Y,-0.09,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +6,4,10234,6,2,7,1,43,3.9,0.2,69,Y,-0.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +1,2,10256,1,1,7,4,42,3.9,-1.52,69,Y,-0.9,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +9,8,10337,9,2,7,1,34,3.9,1.12,67,Y,0.77,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +7,9,10490,7,2,7,5,44,3.9,0.38,69,Y,0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +8,10,10527,8,2,7,5,40,3.9,0.78,57,Y,1.27,P,2,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,863.68419,g 700+,i 820+,0.9859396,3.9 +4,3,10609,4,2,7,1,37,3.9,-0.39,68,Y,-0.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +10,10,10790,10,2,7,1,36,3.9,1.71,67,Y,1.37,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +6,4,10795,6,2,7,4,40,3.9,0.14,69,Y,-0.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +8,9,10800,9,2,7,1,36,3.9,0.88,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,8,10896,9,2,7,1,40,3.9,0.91,69,Y,0.81,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +2,3,10941,3,2,7,5,47,3.9,-0.83,69,Y,-0.58,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +,,10943,,1,7,5,41,3.9,,67,Y,0,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +8,9,10947,8,1,7,3,33,3.9,0.65,68,Y,0.88,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +10,10,10971,10,2,7,3,40,3.9,1.74,67,Y,1.51,P,2,P,95,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,863.68419,g 700+,i 820+,0.9859396,3.9 +10,10,11119,10,1,7,6,34,3.9,2.32,55,Y,2.23,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,11141,10,1,7,3,45,3.9,2.08,57,Y,1.75,P,7,P,95,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,942.631555,g 700+,i 820+,0.9859396,3.9 +9,7,11185,9,1,7,4,41,3.9,1.2,70,Y,0.41,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +7,7,11189,7,1,7,4,42,3.9,0.54,69,Y,0.52,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +4,3,11206,4,2,7,5,43,3.9,-0.46,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +3,3,11232,3,2,7,5,41,3.9,-0.72,66,Y,-0.51,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +6,5,11333,6,1,7,1,36,3.9,0.19,69,Y,-0.02,F,6,F,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +8,9,11377,8,2,7,5,43,3.9,0.67,56,Y,1.23,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +,,11378,4,2,7,5,47,3.9,-0.22,68,Y,,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +8,9,11429,8,2,7,4,42,3.9,0.73,68,Y,0.91,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +3,4,11440,4,2,7,5,41,3.9,-0.48,69,Y,-0.24,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +7,6,11455,7,1,7,5,41,3.9,0.51,69,Y,0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +6,6,11511,6,2,7,4,44,3.9,0.25,69,Y,0.1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +7,4,11512,7,2,4,4,45,3.9,0.28,70,Y,-0.29,P,7,P,94,1,3,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +8,7,11520,8,1,7,4,36.5,3.9,0.65,69,Y,0.31,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,808.4210345,g 700+,h 760-820,0.9859396,3.9 +5,6,11629,5,2,7,1,38,3.9,-0.16,69,Y,0.17,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +6,6,11692,6,2,6,4,45,3.9,0.09,69,Y,0.02,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +7,6,11792,7,2,7,5,44,3.9,0.55,69,Y,0.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +7,9,11833,7,1,7,4,42,3.9,0.5,69,Y,1.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +9,10,11903,9,1,7,1,35,3.9,1.09,62,Y,1.41,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +10,10,11986,10,1,7,1,42,3.9,2.15,68,Y,2.77,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +8,9,12068,8,2,7,4,38,3.9,0.6,64,Y,1.13,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.105244,g 700+,i 820+,0.9859396,3.9 +10,10,12092,10,1,7,3,45,3.9,1.85,69,Y,2.36,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,942.631555,g 700+,i 820+,0.9859396,3.9 +10,10,12109,10,1,7,4,29,3.9,1.38,68,Y,1.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,689.999987,f 640-700,f 640-700,0.9859396,3.9 +10,10,12110,10,2,7,3,40,3.9,2.48,57,Y,2.34,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,863.68419,g 700+,i 820+,0.9859396,3.9 +5,8,12117,5,1,7,4,45,3.9,-0.19,70,Y,0.67,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +3,2,12126,3,1,7,4,45,3.9,-0.69,68,Y,-1.05,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +6,8,12148,6,2,7,1,39,3.9,0.22,66,Y,0.61,P,,P,,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +5,5,12168,5,2,7,4,48,3.9,-0.03,68,Y,0,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +5,4,12211,5,2,2,5,38,3.9,-0.15,67,Y,-0.43,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,832.105244,g 700+,i 820+,0.9859396,3.9 +10,10,12265,10,2,7,1,40,3.9,1.66,66,Y,1.69,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +4,6,12315,4,1,7,1,35,3.9,-0.29,69,Y,0.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +4,5,12331,4,1,7,1,33,3.9,-0.42,53,Y,0.01,P,2,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +10,10,12364,10,1,7,3,31,3.9,1.37,66,Y,1.53,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.578933,g 700+,g 700-760,0.9859396,3.9 +7,8,12390,7,1,7,2,37,3.9,0.36,68,Y,0.56,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,816.315771,g 700+,h 760-820,0.9859396,3.9 +10,8,12429,10,2,7,1,33,3.9,1.34,69,Y,0.62,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +5,4,12444,5,2,7,5,48,3.9,0.06,69,Y,-0.4,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +5,6,12460,5,1,8,1,39,3.9,-0.11,63,Y,0.14,P,7,P,94,1,3,-56,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +3,2,12486,3,1,7,4,31,3.9,-0.55,57,Y,-0.88,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,721.578933,g 700+,g 700-760,0.9859396,3.9 +10,10,12512,10,1,7,1,44,3.9,1.71,69,Y,1.95,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,926.842082,g 700+,i 820+,0.9859396,3.9 +5,5,12516,6,2,7,3,36,3.9,-0.01,54,Y,-0.18,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +10,10,12518,10,2,7,3,39,3.9,2.43,70,Y,2.15,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +10,8,12556,10,1,7,1,41,3.9,1.52,69,Y,0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +8,9,12655,8,1,7,1,42,3.9,0.74,69,Y,0.95,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +5,5,12661,5,2,7,1,34,3.9,-0.05,69,Y,-0.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +2,1,12675,2,2,7,4,42,3.9,-0.91,69,Y,-2.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +3,2,12681,4,1,2,4,46,3.9,-0.47,67,Y,-1.14,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +7,6,12713,7,2,7,4,47,3.9,0.31,69,Y,0.19,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +,,12721,1,1,7,5,44,3.9,-1.31,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +9,10,12728,9,2,7,5,46,3.9,1.14,66,Y,1.44,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +7,7,12748,7,1,7,5,47,3.9,0.52,69,Y,0.52,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +10,10,12776,10,1,7,1,39,3.9,1.66,20,Y,1.76,P,7,P,94,1,4,-13,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +10,9,12780,10,2,7,4,39,3.9,1.42,65,Y,1.22,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +10,10,12795,10,2,4,4,37,3.9,1.48,60,Y,1.31,P,7,P,94,1,3,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +7,9,12841,8,1,7,1,41,3.9,0.59,68,Y,1.03,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +6,6,12856,6,2,7,1,42,3.9,0.09,69,Y,0.03,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +9,10,12935,9,1,7,3,41,3.9,1.17,69,Y,1.55,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,12936,10,1,7,1,33,3.9,1.7,64,Y,1.88,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +3,4,12944,3,2,7,1,35,3.9,-0.55,69,Y,-0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +5,5,13022,5,1,7,5,45,3.9,0.05,69,Y,-0.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +2,2,13072,2,2,7,1,46,3.9,-0.94,69,Y,-0.89,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,958.421028,g 700+,i 820+,0.9859396,3.9 +7,6,13110,7,1,7,3,36,3.9,0.45,68,Y,0.07,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,8,13121,9,2,7,1,35.5,3.9,1.03,68,Y,0.64,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,792.6315615,g 700+,h 760-820,0.9859396,3.9 +8,9,13124,8,1,7,1,38,3.9,0.81,69,Y,0.9,P,6,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +2,4,13125,2,2,2,4,40,3.9,-1.08,68,Y,-0.46,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +8,8,13150,8,1,7,2,32,3.9,0.71,68,Y,0.56,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,737.368406,g 700+,g 700-760,0.9859396,3.9 +9,9,13155,9,2,7,4,43,3.9,1.15,66,Y,0.91,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +9,10,13160,9,1,7,3,37,3.9,1.23,69,Y,1.43,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +2,5,13253,2,1,7,4,46,3.9,-1.15,69,Y,-0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +3,3,13267,3,1,7,4,34,3.9,-0.54,60,Y,-0.77,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,13297,10,2,7,1,40,3.9,1.79,68,Y,1.29,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +10,10,13327,10,1,7,6,37,3.9,1.84,42,Y,1.55,P,7,P,94,1,2,-35,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,816.315771,g 700+,h 760-820,0.9859396,3.9 +2,3,13350,3,1,7,1,26,3.9,-0.74,67,Y,-0.85,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,642.631568,f 640-700,f 640-700,0.9859396,3.9 +1,1,13412,1,2,7,3,26.5,3.9,-2.23,66,Y,-1.88,F,7,F,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,650.5263045,f 640-700,f 640-700,0.9859396,3.9 +6,5,13434,6,1,7,4,41,3.9,0.23,68,Y,-0.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +1,2,13438,2,1,7,4,42,3.9,-1.21,51,Y,-1.13,P,7,P,94,1,2,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +,,13525,,1,7,5,43,3.9,,68,Y,0,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +8,8,13527,8,2,7,1,38,3.9,0.68,67,Y,0.61,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +8,9,13538,8,2,7,1,39,3.9,0.86,62,Y,1.05,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +9,10,13554,9,2,7,2,38,3.9,0.99,69,Y,1.35,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,832.105244,g 700+,i 820+,0.9859396,3.9 +9,9,13598,9,2,7,1,40,3.9,1.02,69,Y,0.95,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +7,4,13620,7,1,7,2,23,3.9,0.44,60,Y,-0.54,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,595.263149,e 580-640,e 580-640,0.9859396,3.9 +9,8,13672,9,1,7,2,34,3.9,0.89,69,Y,0.72,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,768.947352,g 700+,h 760-820,0.9859396,3.9 +5,6,13680,5,1,7,4,40,3.9,0,62,Y,0.13,P,2,P,95,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +5,5,13716,5,1,7,5,47,3.9,0.01,69,Y,-0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +2,5,13731,3,1,7,1,40,3.9,-0.76,69,Y,-0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +10,10,13787,10,2,7,1,35,3.9,1.37,69,Y,1.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +6,9,13795,6,2,7,3,42,3.9,0.16,67,Y,0.97,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +7,9,13877,7,1,7,1,41,3.9,0.46,68,Y,0.98,P,6,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +8,10,13928,8,2,7,5,47,3.9,0.79,69,Y,1.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +5,5,13953,6,2,7,3,38,3.9,0.04,69,Y,-0.12,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +10,10,14013,10,2,7,1,42,3.9,1.95,52,Y,1.95,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +9,10,14044,9,2,7,1,41,3.9,1,66,Y,1.69,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +3,3,14047,3,2,7,1,36,3.9,-0.67,67,Y,-0.73,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,8,14060,9,1,7,1,41,3.9,1.05,68,Y,0.64,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +3,2,14098,3,1,7,1,36,3.9,-0.63,68,Y,-0.99,F,6,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +7,6,14132,7,1,7,1,38,3.9,0.46,69,Y,0.11,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +6,5,14140,7,2,7,4,31.5,3.9,0.27,69,Y,-0.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,729.4736695,g 700+,g 700-760,0.9859396,3.9 +6,5,14173,6,1,7,5,39,3.9,0.1,69,Y,-0.03,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,847.894717,g 700+,i 820+,0.9859396,3.9 +4,6,14213,4,1,7,1,38,3.9,-0.24,69,Y,0.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +5,7,14236,5,2,7,1,38,3.9,-0.15,61,Y,0.4,P,2,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +6,4,14245,6,1,7,1,33,3.9,0.28,62,Y,-0.34,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +4,2,14246,4,2,7,2,35,3.9,-0.36,57,Y,-1.13,P,7,P,94,1,2,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,784.736825,g 700+,h 760-820,0.9859396,3.9 +5,5,14251,5,1,7,5,42,3.9,-0.14,68,Y,-0.03,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +10,1,14360,10,2,7,4,42,3.9,2.39,68,Y,-6.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +3,6,14369,3,2,2,4,39,3.9,-0.61,69,Y,0.12,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +9,10,14419,9,2,7,2,37,3.9,1.04,68,Y,2.12,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,816.315771,g 700+,h 760-820,0.9859396,3.9 +5,7,14475,5,2,2,4,36,3.9,-0.08,69,Y,0.33,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,800.526298,g 700+,h 760-820,0.9859396,3.9 +2,2,14478,2,2,3,5,38,3.9,-1,59,Y,-1.02,P,7,P,94,1,1,-52,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,832.105244,g 700+,i 820+,0.9859396,3.9 +7,6,14527,7,2,7,5,43,3.9,0.57,68,Y,0.23,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +,,14531,,2,2,5,46,3.9,,69,Y,0,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +3,3,14606,3,1,7,5,45,3.9,-0.66,70,Y,-0.69,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +,,14625,,2,7,1,35.7,3.9,,67,Y,,P,7,P,95,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,795.7894561,g 700+,h 760-820,0.9859396,3.9 +4,5,14666,4,2,2,4,33,3.9,-0.41,69,Y,-0.23,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,753.157879,g 700+,g 700-760,0.9859396,3.9 +9,8,14774,9,1,7,4,45,3.9,1.02,69,Y,0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +6,3,14799,6,2,7,3,29,3.9,0.1,58,Y,-0.69,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.999987,f 640-700,f 640-700,0.9859396,3.9 +10,10,14805,10,1,7,4,48,3.9,2.11,70,Y,2.16,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +2,4,14865,2,1,7,4,40,3.9,-1.08,59,Y,-0.39,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +8,9,14882,8,2,7,3,42,3.9,0.78,69,Y,1.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +5,6,14941,5,1,7,2,30,3.9,-0.15,53,Y,0.13,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,705.78946,g 700+,g 700-760,0.9859396,3.9 +9,8,14942,9,2,8,1,37,3.9,1.13,70,Y,0.87,P,7,P,94,1,3,-63,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +9,8,15084,9,1,7,1,36,3.9,0.92,68,Y,0.64,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +2,4,15098,3,1,7,1,35,3.9,-0.81,70,Y,-0.35,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +10,10,15179,10,1,7,5,46,3.9,2.32,61,Y,1.33,P,7,P,94,,3,-54,female,,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +6,8,15191,7,2,7,3,39,3.9,0.26,69,Y,0.67,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +10,10,15247,10,1,7,3,37,3.9,1.64,53,Y,1.71,P,7,P,95,2,1,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +4,5,15253,5,2,7,3,40,3.9,-0.19,69,Y,-0.17,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,863.68419,g 700+,i 820+,0.9859396,3.9 +,,15255,,2,7,5,35,3.9,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,784.736825,g 700+,h 760-820,0.9859396,3.9 +4,6,15265,4,1,7,3,33,3.9,-0.35,46,Y,0.18,P,7,P,95,2,3,-39,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +5,6,15309,6,1,7,3,33,3.9,0.05,69,Y,0,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +4,5,15313,4,2,7,4,45,3.9,-0.35,66,Y,-0.16,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +9,9,15333,9,2,7,5,45,3.9,1.08,68,Y,1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +7,7,15387,7,1,7,1,34,3.9,0.55,55,Y,0.4,P,7,P,95,2,3,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +8,7,15417,8,2,7,3,45,3.9,0.71,63,Y,0.36,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,942.631555,g 700+,i 820+,0.9859396,3.9 +8,7,15450,8,2,7,1,43,3.9,0.66,70,Y,0.55,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +5,3,15453,5,1,7,1,36,3.9,-0.08,69,Y,-0.69,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,8,15454,9,2,7,1,43,3.9,1.06,69,Y,0.57,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +7,5,15462,7,1,7,4,41,3.9,0.35,70,Y,-0.23,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,15479,10,2,7,4,38,3.9,1.73,68,Y,2.12,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.105244,g 700+,i 820+,0.9859396,3.9 +9,10,15526,9,2,7,5,38,3.9,1.31,69,Y,1.47,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,832.105244,g 700+,i 820+,0.9859396,3.9 +3,3,15528,3,2,7,5,41,3.9,-0.78,68,Y,-0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +8,9,15593,8,2,2,5,44,3.9,0.78,65,Y,1.12,P,7,P,94,1,4,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +8,8,15602,9,1,7,1,41,3.9,0.89,68,Y,0.78,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +10,9,15620,10,1,7,3,37,3.9,1.36,68,Y,1.29,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +6,7,15621,6,1,7,3,31,3.9,0.12,69,Y,0.53,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.578933,g 700+,g 700-760,0.9859396,3.9 +9,10,15674,9,1,7,4,43,3.9,1.21,68,Y,1.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +6,4,15682,6,2,7,1,33,3.9,0.2,65,Y,-0.36,F,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +5,2,15731,5,2,7,5,41,3.9,0.06,69,Y,-0.92,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +9,9,15769,9,1,7,1,36,3.9,1.12,68,Y,1.07,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +8,6,15842,8,1,7,4,45,3.9,0.66,70,Y,0.09,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +2,1,15903,2,1,7,4,30,3.9,-1.12,53,Y,-1.45,P,7,P,95,2,3,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,705.78946,g 700+,g 700-760,0.9859396,3.9 +10,9,15908,10,1,7,4,45,3.9,1.75,69,Y,1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +10,10,16112,10,1,7,3,35,3.9,2.08,53,Y,2.09,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,784.736825,g 700+,h 760-820,0.9859396,3.9 +3,4,16133,3,2,7,1,37,3.9,-0.72,66,Y,-0.42,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +9,9,16139,9,1,7,1,44,3.9,0.97,68,Y,1.03,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,926.842082,g 700+,i 820+,0.9859396,3.9 +,,16152,,2,7,5,48,3.9,,69,Y,0,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +8,7,16179,8,2,7,1,28,3.9,0.81,64,Y,0.43,P,7,P,94,1,1,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,674.210514,f 640-700,f 640-700,0.9859396,3.9 +10,10,16200,10,2,7,1,43,3.9,1.5,63,Y,1.62,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +4,5,16226,5,1,7,5,37,3.9,-0.17,51,Y,-0.08,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,816.315771,g 700+,h 760-820,0.9859396,3.9 +,,16279,10,2,7,5,39,3.9,1.6,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,847.894717,g 700+,i 820+,0.9859396,3.9 +5,8,16294,5,1,7,1,39,3.9,-0.11,69,Y,0.69,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +8,7,16329,8,1,7,1,36,3.9,0.86,69,Y,0.5,P,6,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +10,10,16369,10,1,7,2,39,3.9,1.41,64,Y,1.71,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,847.894717,g 700+,i 820+,0.9859396,3.9 +10,4,16386,9,2,2,5,40.5,3.9,1.45,61,Y,-0.38,P,7,P,94,1,3,-54,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,871.5789265,g 700+,i 820+,0.9859396,3.9 +5,4,16430,5,2,7,5,43,3.9,-0.01,68,Y,-0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +2,5,16451,3,1,7,2,38,3.9,-0.86,61,Y,-0.22,F,6,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,832.105244,g 700+,i 820+,0.9859396,3.9 +6,5,16485,6,1,7,4,39,3.9,0.23,70,Y,-0.01,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +,,16493,,2,7,2,42,3.9,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,895.263136,g 700+,i 820+,0.9859396,3.9 +5,7,16540,5,2,7,1,38.5,3.9,-0.05,69,Y,0.47,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,839.9999805,g 700+,i 820+,0.9859396,3.9 +2,1,16568,2,2,7,5,44,3.9,-1.05,69,Y,-1.47,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +10,10,16598,10,1,7,3,31,3.9,1.4,59,Y,1.35,P,2,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.578933,g 700+,g 700-760,0.9859396,3.9 +5,7,16657,6,1,7,1,33,3.9,0.06,69,Y,0.4,P,7,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +8,7,16679,8,1,7,4,37,3.9,0.71,69,Y,0.41,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +8,6,16701,8,2,7,4,30,3.9,0.75,62,Y,0.24,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,705.78946,g 700+,g 700-760,0.9859396,3.9 +9,9,16743,9,2,2,4,48,3.9,0.89,71,Y,0.99,P,7,P,94,1,4,-64,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +4,6,16843,4,2,7,5,44,3.9,-0.23,70,Y,0.2,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +9,9,17007,9,1,7,1,37.5,3.9,0.92,69,Y,1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,824.2105075,g 700+,i 820+,0.9859396,3.9 +6,2,17012,6,2,7,4,41,3.9,0.08,65,Y,-0.93,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,17033,10,2,7,4,47,3.9,1.33,66,Y,1.57,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +,,17086,10,1,7,2,33,3.9,1.49,52,Y,,P,7,P,95,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,753.157879,g 700+,g 700-760,0.9859396,3.9 +9,8,17271,9,2,7,4,48,3.9,0.89,69,Y,0.63,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +8,10,17311,8,2,7,5,48,3.9,0.87,69,Y,1.28,P,7,P,94,,4,-62,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +3,2,17315,3,2,7,4,45,3.9,-0.61,69,Y,-1.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +7,8,17329,7,2,7,5,43,3.9,0.44,69,Y,0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +5,4,17347,5,1,8,3,37,3.9,-0.04,66,Y,-0.52,P,7,P,94,1,4,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +10,10,17360,10,1,7,5,42,3.9,1.6,69,Y,1.91,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +10,10,17387,10,2,7,5,47,3.9,1.84,69,Y,1.72,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +10,10,17396,10,1,7,4,38,3.9,2,71,Y,2.2,P,7,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.105244,g 700+,i 820+,0.9859396,3.9 +,,17438,,2,5,5,39,3.9,,70,Y,0,P,7,P,94,1,2,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,847.894717,g 700+,i 820+,0.9859396,3.9 +,,17441,7,1,7,5,39,3.9,0.6,70,Y,,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,847.894717,g 700+,i 820+,0.9859396,3.9 +10,10,17460,10,2,7,1,40,3.9,1.66,69,Y,1.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +,,17481,,2,7,4,35,3.9,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,784.736825,g 700+,h 760-820,0.9859396,3.9 +5,8,17541,5,1,7,1,34,3.9,0.03,61,Y,0.58,F,2,F,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,9,17598,10,2,7,4,46,3.9,1.31,70,Y,1.09,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +9,10,17653,9,1,7,5,41,3.9,1.43,70,Y,1.76,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +9,9,17752,9,1,7,1,46,3.9,1.08,69,Y,1.17,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,958.421028,g 700+,i 820+,0.9859396,3.9 +8,9,17850,8,2,7,5,47,3.9,0.87,69,Y,1.1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +10,10,17896,10,1,7,4,41,3.9,2.39,53,Y,2.62,P,7,P,95,2,3,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +3,4,17922,3,2,7,5,42,3.9,-0.72,68,Y,-0.24,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +6,7,17928,6,1,7,4,45,3.9,0.14,69,Y,0.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +2,3,17950,2,2,7,5,44,3.9,-1.01,68,Y,-0.75,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +3,3,17955,4,1,7,6,29,3.9,-0.44,69,Y,-0.67,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,689.999987,f 640-700,f 640-700,0.9859396,3.9 +,,17970,5,1,7,5,40,3.9,0.06,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,863.68419,g 700+,i 820+,0.9859396,3.9 +,,18002,5,1,7,5,48,3.9,0.02,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +6,9,18053,7,1,7,1,42,3.9,0.32,39,Y,1.11,P,7,P,94,1,4,-32,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +6,3,18089,6,2,7,4,36.5,3.9,0.19,68,Y,-0.61,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,808.4210345,g 700+,h 760-820,0.9859396,3.9 +2,3,18119,2,1,6,3,31,3.9,-0.97,68,Y,-0.85,F,7,P,96,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,721.578933,g 700+,g 700-760,0.9859396,3.9 +6,6,18136,6,1,7,1,41,3.9,0.24,70,Y,0.17,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +7,9,18203,8,2,7,6,28,3.9,0.6,63,Y,1.13,P,7,P,95,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,674.210514,f 640-700,f 640-700,0.9859396,3.9 +10,10,18242,10,2,8,5,48,3.9,1.89,68,Y,1.63,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +,,18262,,1,7,1,38,3.9,,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +9,8,18305,9,1,7,1,34,3.9,0.98,68,Y,0.66,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +7,6,18325,7,1,7,4,30,3.9,0.33,68,Y,0.13,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,705.78946,g 700+,g 700-760,0.9859396,3.9 +5,3,18331,5,2,7,1,31,3.9,-0.1,68,Y,-0.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.578933,g 700+,g 700-760,0.9859396,3.9 +8,6,18339,8,2,7,1,37,3.9,0.81,67,Y,0.25,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +10,10,18416,10,2,7,1,40,3.9,1.84,59,Y,2.04,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +8,7,18430,9,2,7,1,36,3.9,0.9,65,Y,0.54,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +,,18433,6,1,7,5,30,3.9,0.31,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,705.78946,g 700+,g 700-760,0.9859396,3.9 +10,10,18471,10,1,7,5,40,3.9,2.21,69,Y,2.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,863.68419,g 700+,i 820+,0.9859396,3.9 +7,5,18486,7,2,7,1,36,3.9,0.57,68,Y,0,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +5,7,18526,5,1,7,5,43,3.9,-0.03,69,Y,0.29,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +6,9,18527,6,2,7,1,35,3.9,0.2,69,Y,1.01,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +3,2,18567,3,1,7,4,38,3.9,-0.65,68,Y,-1.26,F,7,P,95,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,832.105244,g 700+,i 820+,0.9859396,3.9 +5,6,18629,5,2,7,1,40,3.9,-0.03,68,Y,0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +10,9,18711,10,1,7,4,44,3.9,1.47,69,Y,1.17,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +2,2,18714,2,1,7,5,44,3.9,-0.88,70,Y,-0.9,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +9,9,18718,9,2,7,3,35.5,3.9,1.08,68,Y,1.23,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,792.6315615,g 700+,h 760-820,0.9859396,3.9 +10,10,18745,10,1,7,1,38,3.9,1.44,65,Y,1.46,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +4,6,18792,4,1,7,1,35,3.9,-0.28,69,Y,0.11,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +7,5,18868,7,2,7,5,44,3.9,0.54,69,Y,-0.09,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +4,6,18876,4,1,7,1,30,3.9,-0.36,68,Y,0.1,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,705.78946,g 700+,g 700-760,0.9859396,3.9 +8,7,18892,8,2,7,1,38,3.9,0.66,69,Y,0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +7,5,18919,7,1,7,1,41,3.9,0.54,69,Y,-0.2,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +5,8,18920,5,2,7,1,35,3.9,-0.16,68,Y,0.71,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +10,10,19004,10,1,7,1,47,3.9,1.9,44,Y,2.23,P,7,P,94,1,3,-37,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,974.210501,g 700+,i 820+,0.9859396,3.9 +8,7,19051,8,1,7,3,37,3.9,0.7,69,Y,0.5,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +6,5,19065,6,1,2,4,43,3.9,0.14,64,Y,-0.18,P,7,P,94,1,3,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +5,7,19190,6,1,7,1,42,3.9,0.06,69,Y,0.37,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +8,7,19193,8,1,7,3,39,3.9,0.59,68,Y,0.46,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +10,10,19205,10,1,7,5,45,3.9,1.81,69,Y,1.62,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +7,6,19228,7,1,7,3,42,3.9,0.5,65,Y,0.25,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +10,10,19234,10,2,7,1,43,3.9,1.64,67,Y,1.49,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +3,3,19302,3,2,7,1,39,3.9,-0.71,69,Y,-0.83,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,847.894717,g 700+,i 820+,0.9859396,3.9 +,,19350,4,2,7,5,42,3.9,-0.32,70,Y,,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +1,1,19355,1,1,7,5,42,3.9,-1.3,69,Y,-1.37,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +4,3,19430,4,1,7,4,37,3.9,-0.39,67,Y,-0.85,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +4,9,19435,4,2,7,4,39,3.9,-0.39,67,Y,0.89,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +,,19444,,2,7,5,47,3.9,,67,Y,0,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +8,6,19466,8,1,7,3,39,3.9,0.61,68,Y,0.03,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +,,19597,,2,7,5,46,3.9,,70,Y,0,P,7,P,94,1,,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +10,10,19624,10,2,7,4,48,3.9,1.92,68,Y,1.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +,,19631,,1,7,5,42,3.9,,69,Y,0,P,2,P,95,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +9,10,19706,9,2,7,5,42,3.9,1.15,69,Y,1.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +8,4,19768,8,1,7,6,29,3.9,0.64,65,Y,-0.31,F,7,F,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,689.999987,f 640-700,f 640-700,0.9859396,3.9 +7,8,19845,7,2,2,3,30,3.9,0.5,70,Y,0.63,P,2,P,94,1,3,-68,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,705.78946,g 700+,g 700-760,0.9859396,3.9 +9,8,19930,9,2,7,1,36,3.9,1,68,Y,0.58,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,9,19987,9,1,7,1,43,3.9,1.13,69,Y,1.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +10,10,20073,10,2,7,4,47,3.9,1.94,69,Y,1.32,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +,,20101,,2,7,5,43,3.9,,66,Y,0,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +6,7,20145,6,1,7,1,45,3.9,0.2,68,Y,0.49,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,942.631555,g 700+,i 820+,0.9859396,3.9 +10,10,20150,10,1,7,2,43,3.9,2.11,67,Y,2.24,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,911.052609,g 700+,i 820+,0.9859396,3.9 +7,8,20168,8,1,7,3,37,3.9,0.55,63,Y,0.79,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +1,2,20253,1,2,7,4,46,3.9,-1.47,67,Y,-0.97,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +5,6,20283,5,1,7,5,41,3.9,-0.15,68,Y,0.16,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +4,3,20284,4,2,7,1,33,3.9,-0.31,62,Y,-0.57,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +8,6,20310,8,1,8,5,45,3.9,0.78,69,Y,0.08,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +7,7,20311,7,1,7,1,37,3.9,0.37,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +4,4,20325,5,1,7,3,27,3.9,-0.23,68,Y,-0.36,F,7,P,96,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,658.421041,f 640-700,f 640-700,0.9859396,3.9 +3,4,20382,3,1,7,3,29.5,3.9,-0.6,60,Y,-0.5,F,7,F,94,1,5,-53,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,697.8947235,f 640-700,f 640-700,0.9859396,3.9 +,,20383,,2,7,4,40,3.9,,61,Y,,P,2,P,96,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +2,2,20441,2,2,2,5,46,3.9,-0.97,69,Y,-1.22,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +7,7,20499,7,1,7,1,35,3.9,0.38,69,Y,0.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +4,5,20519,4,1,3,3,28,3.9,-0.37,69,Y,-0.28,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,674.210514,f 640-700,f 640-700,0.9859396,3.9 +8,9,20567,8,1,7,3,32.5,3.9,0.62,69,Y,1.14,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,745.2631425,g 700+,g 700-760,0.9859396,3.9 +9,9,20571,9,1,7,1,35,3.9,1.13,70,Y,0.92,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +,,20576,,1,7,5,35,3.9,,69,Y,,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,784.736825,g 700+,h 760-820,0.9859396,3.9 +7,6,20608,7,2,8,5,43,3.9,0.35,69,Y,0.24,P,7,P,95,1,5,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +3,3,20622,3,1,7,1,35,3.9,-0.59,69,Y,-0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +6,4,20664,6,2,7,4,45,3.9,0.14,66,Y,-0.5,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +,,20688,10,1,7,5,44,3.9,2.22,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +5,3,20701,5,2,7,1,33,3.9,-0.13,69,Y,-0.69,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +9,8,20725,9,1,7,4,42,3.9,0.88,68,Y,0.7,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +10,10,20769,10,2,7,5,45,3.9,1.71,68,Y,1.83,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +9,9,20770,9,2,7,4,47,3.9,1.17,69,Y,1.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +8,9,20796,9,1,7,4,46,3.9,0.86,59,Y,1.16,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +,,20905,,1,7,5,37,3.9,,70,Y,,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,816.315771,g 700+,h 760-820,0.9859396,3.9 +5,6,20910,5,2,7,5,41,3.9,-0.04,69,Y,0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +7,4,20950,7,1,7,2,26,3.9,0.31,69,Y,-0.48,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,642.631568,f 640-700,f 640-700,0.9859396,3.9 +10,10,20959,10,1,7,3,44,3.9,1.74,62,Y,2.22,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,926.842082,g 700+,i 820+,0.9859396,3.9 +9,8,20993,9,1,7,3,41,3.9,0.96,68,Y,0.61,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.473663,g 700+,i 820+,0.9859396,3.9 +7,8,21030,7,1,7,1,42,3.9,0.56,69,Y,0.87,P,6,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +10,10,21050,10,2,7,1,36,3.9,1.32,58,Y,1.36,P,2,P,95,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +,,21052,,2,7,5,44,3.9,,67,Y,0,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +8,7,21105,8,2,7,5,35,3.9,0.93,60,Y,0.34,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,784.736825,g 700+,h 760-820,0.9859396,3.9 +9,10,21107,9,2,7,5,41,3.9,1.42,69,Y,1.52,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,21112,10,1,6,4,37,3.9,1.7,69,Y,1.85,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +5,5,21146,5,1,7,5,43,3.9,-0.03,67,Y,0.02,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +8,9,21176,8,1,7,1,42,3.9,0.77,69,Y,0.88,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +6,7,21202,6,1,7,1,38,3.9,0.19,64,Y,0.37,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +,,21217,,2,7,5,45,3.9,,69,Y,0,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +10,10,21231,10,1,7,3,47,3.9,1.89,53,Y,2.29,P,7,P,94,2,2,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,974.210501,g 700+,i 820+,0.9859396,3.9 +4,7,21287,4,1,8,4,45,3.9,-0.43,70,Y,0.46,P,7,P,94,1,3,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +1,4,21290,2,1,7,3,37,3.9,-1.16,48,Y,-0.31,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +7,8,21333,7,2,7,1,40,3.9,0.36,64,Y,0.76,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +4,3,21353,4,1,7,4,43,3.9,-0.38,68,Y,-0.71,P,2,P,96,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +7,5,21362,7,2,7,5,47,3.9,0.62,69,Y,-0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +6,6,21366,6,1,7,5,42,3.9,0.16,69,Y,0.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +3,3,21405,3,2,7,1,31,3.9,-0.66,62,Y,-0.57,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.578933,g 700+,g 700-760,0.9859396,3.9 +10,10,21413,10,1,7,4,31,3.9,1.31,55,Y,1.79,P,7,P,95,2,3,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,721.578933,g 700+,g 700-760,0.9859396,3.9 +9,9,21421,9,2,7,5,42,3.9,1.07,57,Y,0.91,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +3,4,21510,3,2,4,4,40,3.9,-0.54,70,Y,-0.41,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +6,5,21547,6,1,7,5,47,3.9,0.22,66,Y,-0.02,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +10,10,21568,10,1,7,3,36,3.9,1.99,65,Y,1.81,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +8,7,21569,8,1,7,3,34,3.9,0.57,55,Y,0.39,P,7,P,94,1,2,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.947352,g 700+,h 760-820,0.9859396,3.9 +4,5,21619,5,1,2,3,34,3.9,-0.18,69,Y,-0.18,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,768.947352,g 700+,h 760-820,0.9859396,3.9 +2,2,21627,2,2,2,1,35,3.9,-0.9,69,Y,-0.89,P,2,P,95,1,1,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +10,10,21631,10,1,7,4,37,3.9,1.93,62,Y,1.61,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +4,3,21668,4,2,7,5,46,3.9,-0.44,64,Y,-0.73,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +1,1,21881,1,1,7,2,30,3.9,-1.32,59,Y,-1.29,P,2,P,95,1,,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,705.78946,g 700+,g 700-760,0.9859396,3.9 +8,7,21934,8,2,7,3,41,3.9,0.75,69,Y,0.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.473663,g 700+,i 820+,0.9859396,3.9 +,,21945,9,2,7,5,43,3.9,1,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,911.052609,g 700+,i 820+,0.9859396,3.9 +10,10,21981,10,2,7,1,46,3.9,1.98,70,Y,2.19,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,958.421028,g 700+,i 820+,0.9859396,3.9 +6,5,21991,6,1,7,3,38,3.9,0.15,67,Y,-0.04,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +8,6,22014,8,1,7,1,34,3.9,0.84,52,Y,0.28,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,22078,10,1,7,5,47,3.9,1.78,65,Y,1.52,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +10,9,22113,10,2,7,1,44,3.9,1.32,68,Y,1.09,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,926.842082,g 700+,i 820+,0.9859396,3.9 +9,9,22178,9,1,7,3,36,3.9,0.93,69,Y,0.99,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +7,8,22311,7,2,7,1,42,3.9,0.39,69,Y,0.73,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +,,22338,,2,7,5,37,3.9,,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,816.315771,g 700+,h 760-820,0.9859396,3.9 +8,9,22437,8,1,8,4,41,3.9,0.62,69,Y,1.22,P,2,P,96,1,4,-67,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +4,4,22475,4,1,7,4,44,3.9,-0.25,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,926.842082,g 700+,i 820+,0.9859396,3.9 +7,7,22502,7,1,7,3,32,3.9,0.51,67,Y,0.38,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,737.368406,g 700+,g 700-760,0.9859396,3.9 +8,9,22504,8,1,1,3,32,3.9,0.77,53,Y,1.1,P,7,P,94,1,2,-46,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,737.368406,g 700+,g 700-760,0.9859396,3.9 +4,6,22507,4,1,7,4,47,3.9,-0.27,69,Y,0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +8,8,22603,8,1,7,3,39,3.9,0.73,70,Y,0.65,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +9,9,22614,9,2,7,4,48,3.9,1.18,66,Y,0.98,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +4,3,22625,4,1,7,1,30,3.9,-0.28,68,Y,-0.8,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,705.78946,g 700+,g 700-760,0.9859396,3.9 +,,22738,,1,2,5,42,3.9,,68,Y,0,F,7,P,95,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +,,22771,,1,7,5,48,3.9,,68,Y,0,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +7,8,22839,7,1,7,3,38,3.9,0.43,47,Y,0.62,P,7,P,94,1,4,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +3,4,22918,3,1,7,4,45,3.9,-0.61,69,Y,-0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +9,10,22928,9,1,7,3,33,3.9,1.06,69,Y,1.39,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +5,6,22982,5,2,7,1,40,3.9,-0.01,69,Y,0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +6,3,22989,6,1,7,4,42,3.9,0.17,63,Y,-0.53,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +8,8,23029,8,2,2,5,35.5,3.9,0.78,67,Y,0.69,P,2,P,95,1,4,-65,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,792.6315615,g 700+,h 760-820,0.9859396,3.9 +5,6,23102,5,2,7,5,36,3.9,-0.13,56,Y,0.1,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,9,23140,9,1,7,3,36,3.9,1.22,68,Y,0.97,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,800.526298,g 700+,h 760-820,0.9859396,3.9 +10,10,23163,10,1,7,3,38,3.9,1.55,63,Y,2.25,P,7,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,832.105244,g 700+,i 820+,0.9859396,3.9 +,,23172,,1,7,2,40,3.9,,56,Y,,P,7,P,94,1,2,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,863.68419,g 700+,i 820+,0.9859396,3.9 +1,1,23184,1,2,6,4,45,3.9,-1.8,69,Y,-1.74,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +4,5,23190,4,2,7,5,46,3.9,-0.22,69,Y,-0.06,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +6,4,23213,6,1,7,5,41,3.9,0.12,69,Y,-0.41,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +10,10,23261,10,2,7,4,43,3.9,1.6,64,Y,1.66,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +10,10,23281,10,1,7,1,32,3.9,1.83,69,Y,1.84,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.368406,g 700+,g 700-760,0.9859396,3.9 +6,4,23300,6,1,7,3,31,3.9,0.14,69,Y,-0.29,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.578933,g 700+,g 700-760,0.9859396,3.9 +,,23522,1,1,7,5,42,3.9,-1.29,67,Y,,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +10,10,23549,10,1,7,1,43,3.9,1.36,59,Y,1.29,P,2,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +4,4,23572,4,2,7,1,34,3.9,-0.24,69,Y,-0.5,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +6,6,23582,6,2,7,3,41,3.9,0.17,70,Y,0.2,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,879.473663,g 700+,i 820+,0.9859396,3.9 +6,6,23590,6,1,7,1,37,3.9,0.17,58,Y,0.28,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +7,7,23624,7,1,7,1,47,3.9,0.34,56,Y,0.49,P,7,P,94,2,2,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,974.210501,g 700+,i 820+,0.9859396,3.9 +2,2,23633,2,2,7,5,44,3.9,-1.08,67,Y,-1.03,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +5,5,23659,5,1,7,2,31,3.9,-0.05,57,Y,-0.23,P,2,P,95,2,1,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,721.578933,g 700+,g 700-760,0.9859396,3.9 +9,9,23725,9,1,7,4,36.5,3.9,1,67,Y,0.98,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,808.4210345,g 700+,h 760-820,0.9859396,3.9 +1,2,23739,1,2,7,4,40,3.9,-1.5,68,Y,-1.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +4,3,23852,5,2,7,4,36,3.9,-0.24,46,Y,-0.6,P,2,P,95,2,3,-44,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,800.526298,g 700+,h 760-820,0.9859396,3.9 +3,2,23868,4,2,7,4,45,3.9,-0.5,68,Y,-1.03,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +2,5,23899,2,1,7,4,42,3.9,-1.03,69,Y,-0.16,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,895.263136,g 700+,i 820+,0.9859396,3.9 +7,7,23924,7,1,7,5,41,3.9,0.44,54,Y,0.32,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +1,1,23934,1,2,7,1,31,3.9,-1.83,65,Y,-1.6,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.578933,g 700+,g 700-760,0.9859396,3.9 +4,3,23949,4,1,7,1,32,3.9,-0.28,57,Y,-0.55,P,7,P,95,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.368406,g 700+,g 700-760,0.9859396,3.9 +2,5,23975,2,1,7,3,30,3.9,-0.93,51,Y,-0.02,P,7,P,95,1,2,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.78946,g 700+,g 700-760,0.9859396,3.9 +7,6,24018,7,1,7,3,33,3.9,0.46,70,Y,0.07,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +2,4,24021,2,1,7,1,32,3.9,-0.89,68,Y,-0.38,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,737.368406,g 700+,g 700-760,0.9859396,3.9 +4,7,24057,4,1,7,4,39,3.9,-0.35,69,Y,0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +5,4,24094,5,1,7,4,31,3.9,-0.15,69,Y,-0.39,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,721.578933,g 700+,g 700-760,0.9859396,3.9 +,,24108,,1,7,1,40,3.9,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +7,8,24114,8,1,7,1,36,3.9,0.61,68,Y,0.82,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,9,24134,9,1,7,1,34.7,3.9,1.11,67,Y,1.25,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,779.9999831,g 700+,h 760-820,0.9859396,3.9 +4,3,24141,4,1,7,3,34,3.9,-0.29,64,Y,-0.58,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.947352,g 700+,h 760-820,0.9859396,3.9 +,,24232,7,2,7,5,46,3.9,0.61,62,Y,,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +5,5,24322,5,1,7,4,40,3.9,-0.16,68,Y,-0.13,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,863.68419,g 700+,i 820+,0.9859396,3.9 +10,10,24501,10,2,4,4,47,3.9,2.59,65,Y,2.57,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,974.210501,g 700+,i 820+,0.9859396,3.9 +9,9,24545,9,1,7,3,44,3.9,1.04,69,Y,0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,926.842082,g 700+,i 820+,0.9859396,3.9 +8,9,24586,8,2,7,5,48,3.9,0.9,68,Y,1,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +5,6,24644,5,1,7,3,29,3.9,-0.14,64,Y,0.04,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.999987,f 640-700,f 640-700,0.9859396,3.9 +9,10,24740,9,1,7,3,37,3.9,0.95,68,Y,1.96,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,816.315771,g 700+,h 760-820,0.9859396,3.9 +,,24860,5,2,7,5,46,3.9,0.02,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +6,8,24912,7,1,7,1,35,3.9,0.32,58,Y,0.74,P,1,P,96,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +5,7,24937,6,1,7,1,36,3.9,0.08,69,Y,0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +7,8,24939,7,1,7,5,44,3.9,0.58,67,Y,0.77,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,926.842082,g 700+,i 820+,0.9859396,3.9 +3,2,25005,3,2,7,4,39,3.9,-0.72,63,Y,-0.93,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +6,7,25183,6,1,8,4,32,3.9,0.13,67,Y,0.54,P,7,P,94,1,4,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,737.368406,g 700+,g 700-760,0.9859396,3.9 +8,9,25191,8,2,7,5,45,3.9,0.84,69,Y,0.89,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +5,5,25225,5,2,7,1,36,3.9,-0.02,69,Y,-0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +3,6,25249,4,2,6,4,30,3.9,-0.49,64,Y,0.13,P,7,P,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,705.78946,g 700+,g 700-760,0.9859396,3.9 +10,10,25295,10,1,7,3,29,3.9,2.1,65,Y,2.04,P,2,P,95,1,,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,689.999987,f 640-700,f 640-700,0.9859396,3.9 +1,1,25299,1,2,7,1,37,3.9,-1.66,64,Y,-1.5,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +8,9,25358,9,1,7,1,31,3.9,0.88,65,Y,1.23,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.578933,g 700+,g 700-760,0.9859396,3.9 +8,9,25406,8,2,7,4,41,3.9,0.8,69,Y,1.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +9,9,25439,9,2,7,1,42,3.9,1.06,65,Y,1.08,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +5,8,25482,5,2,7,1,40,3.9,-0.02,70,Y,0.64,P,7,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +2,2,25579,2,2,7,1,42,3.9,-0.89,69,Y,-1.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +,,25590,,2,7,4,43,3.9,,44,Y,,P,7,P,95,1,3,-37,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +3,3,25595,4,2,7,1,45,3.9,-0.47,54,Y,-0.82,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,942.631555,g 700+,i 820+,0.9859396,3.9 +2,5,25614,2,1,7,2,43,3.9,-0.99,68,Y,-0.22,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,911.052609,g 700+,i 820+,0.9859396,3.9 +1,4,25694,1,1,7,4,35,3.9,-1.46,69,Y,-0.41,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,784.736825,g 700+,h 760-820,0.9859396,3.9 +1,1,25720,1,2,7,2,24,3.9,-1.32,68,Y,-1.78,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,611.052622,e 580-640,e 580-640,0.9859396,3.9 +,,25738,,1,7,5,45,3.9,,67,Y,0,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,942.631555,g 700+,i 820+,0.9859396,3.9 +4,5,25778,4,2,7,1,43,3.9,-0.32,66,Y,-0.18,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,911.052609,g 700+,i 820+,0.9859396,3.9 +10,10,25791,10,1,7,1,37,3.9,1.38,69,Y,1.73,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +9,10,25897,9,1,7,1,34,3.9,1.22,51,Y,1.58,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +4,6,25925,4,1,7,3,33,3.9,-0.3,69,Y,-0.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,753.157879,g 700+,g 700-760,0.9859396,3.9 +10,10,25943,10,2,7,3,38.5,3.9,1.62,66,Y,1.37,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,839.9999805,g 700+,i 820+,0.9859396,3.9 +10,10,25951,10,2,7,1,47,3.9,1.36,66,Y,1.36,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,974.210501,g 700+,i 820+,0.9859396,3.9 +8,8,25957,8,2,7,5,38,3.9,0.65,67,Y,0.78,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,832.105244,g 700+,i 820+,0.9859396,3.9 +3,3,25961,3,2,8,3,35,3.9,-0.62,68,Y,-0.66,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,784.736825,g 700+,h 760-820,0.9859396,3.9 +,,25981,,1,7,4,41,3.9,,70,Y,,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,879.473663,g 700+,i 820+,0.9859396,3.9 +3,3,26004,4,1,7,1,31,3.9,-0.48,69,Y,-0.72,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,721.578933,g 700+,g 700-760,0.9859396,3.9 +4,5,26010,4,1,7,4,38,3.9,-0.35,67,Y,0.01,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.105244,g 700+,i 820+,0.9859396,3.9 +5,8,26049,5,2,7,4,37,3.9,-0.1,51,Y,0.81,P,7,P,95,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,816.315771,g 700+,h 760-820,0.9859396,3.9 +6,8,26063,6,2,7,4,48,3.9,0.08,69,Y,0.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,989.999974,g 700+,i 820+,0.9859396,3.9 +6,5,26138,6,2,7,4,43,3.9,0.08,69,Y,-0.23,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +,,26139,7,1,7,5,47,3.9,0.49,64,Y,,P,7,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,974.210501,g 700+,i 820+,0.9859396,3.9 +4,2,26225,4,2,1,2,34,3.9,-0.34,57,Y,-0.95,F,7,F,95,1,3,-50,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,2,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,26247,10,1,7,5,36,3.9,1.78,67,Y,2.21,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,10,26326,9,2,7,3,39,3.9,1.21,69,Y,1.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +,,26366,,2,7,5,48,3.9,,68,Y,0,P,2,P,96,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,989.999974,g 700+,i 820+,0.9859396,3.9 +6,7,26396,6,1,7,1,42,3.9,0.1,69,Y,0.29,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +7,8,26412,8,2,7,3,31,3.9,0.55,68,Y,0.66,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.578933,g 700+,g 700-760,0.9859396,3.9 +2,2,26527,2,2,7,1,33,3.9,-0.91,69,Y,-1.29,F,7,F,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +7,7,26540,7,2,7,5,36,3.9,0.42,62,Y,0.48,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,800.526298,g 700+,h 760-820,0.9859396,3.9 +,,26589,,2,7,1,36,3.9,,69,Y,,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,800.526298,g 700+,h 760-820,0.9859396,3.9 +9,9,26595,9,1,7,1,40,3.9,1.03,69,Y,1.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,863.68419,g 700+,i 820+,0.9859396,3.9 +10,10,26642,10,2,7,1,38,3.9,1.63,64,Y,1.79,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +4,5,26660,4,2,7,1,34,3.9,-0.23,66,Y,-0.04,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +3,2,26680,3,1,7,1,33,3.9,-0.63,69,Y,-1.25,P,7,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,753.157879,g 700+,g 700-760,0.9859396,3.9 +1,1,26687,1,1,7,1,35,3.9,-1.38,68,Y,-1.44,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,784.736825,g 700+,h 760-820,0.9859396,3.9 +8,8,26697,8,2,7,1,41,3.9,0.68,64,Y,0.63,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,879.473663,g 700+,i 820+,0.9859396,3.9 +6,5,26702,6,1,7,1,34,3.9,0.19,66,Y,-0.03,P,7,P,93,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,26728,10,1,7,4,45,3.9,1.56,69,Y,1.91,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +5,9,26733,5,1,7,5,40,3.9,-0.07,52,Y,0.97,P,7,P,94,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,863.68419,g 700+,i 820+,0.9859396,3.9 +9,9,26767,9,2,7,2,32,3.9,0.94,68,Y,1.31,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,737.368406,g 700+,g 700-760,0.9859396,3.9 +10,9,26789,10,2,7,3,34,3.9,1.44,67,Y,1.05,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,768.947352,g 700+,h 760-820,0.9859396,3.9 +6,6,26849,6,1,7,4,43,3.9,0.2,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,911.052609,g 700+,i 820+,0.9859396,3.9 +10,10,26859,10,1,7,3,40,3.9,1.59,69,Y,1.71,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,863.68419,g 700+,i 820+,0.9859396,3.9 +,,26890,10,1,7,5,42,3.9,2.6,70,Y,,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,895.263136,g 700+,i 820+,0.9859396,3.9 +7,6,26894,7,1,7,3,35,3.9,0.5,69,Y,0.2,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,784.736825,g 700+,h 760-820,0.9859396,3.9 +10,10,26943,10,2,7,3,39,3.9,1.42,62,Y,1.34,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,847.894717,g 700+,i 820+,0.9859396,3.9 +6,7,26949,6,2,2,5,41,3.9,0.27,69,Y,0.54,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,879.473663,g 700+,i 820+,0.9859396,3.9 +9,8,26971,9,1,7,1,34,3.9,1.25,64,Y,0.84,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,768.947352,g 700+,h 760-820,0.9859396,3.9 +10,10,26986,10,2,7,4,46,3.9,1.73,70,Y,1.58,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,958.421028,g 700+,i 820+,0.9859396,3.9 +7,8,27034,7,2,7,3,42,3.9,0.45,54,Y,0.77,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +9,10,27101,9,1,7,3,42,3.9,1.09,69,Y,1.37,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,895.263136,g 700+,i 820+,0.9859396,3.9 +8,8,27128,8,2,6,1,37,3.9,0.84,69,Y,0.59,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,816.315771,g 700+,h 760-820,0.9859396,3.9 +9,10,27152,9,1,7,4,39,3.9,0.93,70,Y,1.54,P,7,P,94,1,,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,847.894717,g 700+,i 820+,0.9859396,3.9 +4,4,27154,5,1,7,1,47,3.9,-0.2,64,Y,-0.43,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,974.210501,g 700+,i 820+,0.9859396,3.9 +10,10,27200,10,1,7,5,46,3.9,2.24,66,Y,2.87,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +10,10,27230,10,2,7,5,38,3.9,1.52,69,Y,1.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,832.105244,g 700+,i 820+,0.9859396,3.9 +4,5,27239,4,2,7,5,46,3.9,-0.42,67,Y,-0.06,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,958.421028,g 700+,i 820+,0.9859396,3.9 +,,27259,,2,7,4,45,3.9,,71,Y,-2.35,P,2,P,95,1,3,-69,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +10,10,27293,10,1,7,4,45,3.9,1.58,70,Y,1.86,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +8,8,27349,8,1,7,4,45,3.9,0.68,70,Y,0.83,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,942.631555,g 700+,i 820+,0.9859396,3.9 +10,10,27390,10,2,7,3,46,3.9,2.18,67,Y,2.08,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,958.421028,g 700+,i 820+,0.9859396,3.9 +7,6,27414,7,2,2,1,38,3.9,0.34,65,Y,0.26,P,7,P,94,1,4,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,832.105244,g 700+,i 820+,0.9859396,3.9 +6,5,27420,6,1,6,5,37,3.9,0.25,69,Y,0.02,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,816.315771,g 700+,h 760-820,0.9859396,3.9 +6,6,27436,6,2,7,4,38,3.9,0.14,69,Y,0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,832.105244,g 700+,i 820+,0.9859396,3.9 +7,8,27464,7,2,7,1,42,3.9,0.52,68,Y,0.79,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,895.263136,g 700+,i 820+,0.9859396,3.9 +8,7,30,8,2,7,1,40,3.7,0.67,70,Y,0.4,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +10,9,32,10,1,7,4,48,3.7,1.94,69,Y,0.98,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +,,43,,1,2,5,48,3.7,,69,Y,0,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +10,10,59,10,1,7,1,45,3.7,1.51,68,Y,1.69,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +10,10,66,10,1,7,1,30,3.7,1.66,66,Y,1.52,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,685.78946,f 640-700,f 640-700,0.98314416,3.7 +8,10,67,8,1,7,4,25,3.7,0.6,69,Y,1.72,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,606.842095,e 580-640,e 580-640,0.98314416,3.7 +,,71,6,2,7,5,45,3.7,0.34,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +7,7,73,7,1,7,1,41,3.7,0.44,69,Y,0.53,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +6,5,101,6,1,7,2,36,3.7,0.12,69,Y,-0.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,780.526298,g 700+,h 760-820,0.98314416,3.7 +3,4,165,3,1,7,2,31,3.7,-0.54,66,Y,-0.33,F,7,P,95,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,701.578933,g 700+,g 700-760,0.98314416,3.7 +1,1,171,2,2,7,1,44,3.7,-1.26,62,Y,-1.42,P,2,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +6,5,179,6,1,7,1,33,3.7,0.27,67,Y,-0.14,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +7,4,180,7,2,7,1,42,3.7,0.4,66,Y,-0.37,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,187,9,2,7,3,37,3.7,1.08,69,Y,0.98,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,8,209,8,2,7,1,40,3.7,0.8,69,Y,0.64,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +6,5,228,7,1,7,1,34,3.7,0.33,69,Y,-0.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +7,8,235,7,2,7,1,35,3.7,0.45,69,Y,0.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +6,7,257,6,1,7,4,35.5,3.7,0.15,69,Y,0.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.6315615,g 700+,h 760-820,0.98314416,3.7 +,,295,,1,7,5,48,3.7,,68,Y,0,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +,,325,,2,7,5,47,3.7,,69,Y,0,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +7,8,346,8,1,7,1,37,3.7,0.59,56,Y,0.75,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,7,349,5,1,7,1,40,3.7,-0.05,68,Y,0.4,F,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +7,9,390,8,1,7,4,44,3.7,0.55,69,Y,1.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +6,7,431,6,2,7,5,35,3.7,0.17,69,Y,0.54,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,9,464,8,2,7,5,41,3.7,0.9,69,Y,1.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +4,6,470,4,2,7,5,42,3.7,-0.35,69,Y,0.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,487,9,2,7,5,42,3.7,1.1,69,Y,0.93,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,530,9,1,7,1,32,3.7,1.06,60,Y,0.95,P,2,P,95,2,2,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +8,8,535,8,1,7,3,38,3.7,0.81,68,Y,0.71,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +2,3,561,3,1,7,3,40,3.7,-0.75,66,Y,-0.73,F,7,P,96,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +8,6,568,8,1,7,3,33,3.7,0.57,69,Y,0.01,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +9,8,570,9,1,7,3,24.5,3.7,0.96,67,Y,0.56,P,7,P,94,1,1,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.9473585,e 580-640,e 580-640,0.98314416,3.7 +9,9,595,9,1,7,3,38,3.7,1.23,69,Y,1.31,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,5,641,5,1,2,1,41,3.7,-0.14,69,Y,-0.02,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +2,2,649,2,1,7,4,37.5,3.7,-0.85,60,Y,-1.22,F,2,P,95,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,804.2105075,g 700+,h 760-820,0.98314416,3.7 +1,2,650,1,2,7,5,47,3.7,-1.47,48,Y,-1.3,P,2,P,94,1,5,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +7,8,655,7,1,7,1,38,3.7,0.33,61,Y,0.64,P,7,P,95,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,4,679,4,1,7,1,38,3.7,-0.28,69,Y,-0.34,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,7,683,7,1,7,3,27,3.7,0.41,68,Y,0.47,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.421041,e 580-640,e 580-640,0.98314416,3.7 +6,8,732,6,1,7,1,35,3.7,0.29,68,Y,0.68,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +10,10,751,10,1,7,1,36,3.7,2.11,69,Y,2.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,3,760,7,1,2,4,41,3.7,0.49,64,Y,-0.57,P,7,P,94,1,3,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +9,9,761,9,1,7,1,32.5,3.7,1.1,69,Y,1.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,725.2631425,g 700+,g 700-760,0.98314416,3.7 +9,8,765,9,2,7,1,42,3.7,1.2,68,Y,0.73,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +4,4,778,4,2,7,1,39,3.7,-0.29,69,Y,-0.49,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +9,10,785,9,2,7,4,33,3.7,1.26,64,Y,1.33,P,2,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +10,10,836,10,2,7,1,37,3.7,1.34,68,Y,1.37,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,5,919,6,2,7,2,34,3.7,0.09,68,Y,-0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,748.947352,g 700+,g 700-760,0.98314416,3.7 +6,6,939,6,2,7,1,41,3.7,0.25,64,Y,0.17,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +6,7,942,6,1,7,4,46,3.7,0.2,69,Y,0.5,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +5,7,946,6,2,3,6,22,3.7,0.12,61,Y,0.28,P,7,P,94,1,2,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,559.473676,d 520-580,d 520-580,0.98314416,3.7 +5,10,956,5,2,7,1,40,3.7,-0.07,67,Y,2.7,P,7,P,95,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +1,1,982,1,1,3,1,28,3.7,-1.8,69,Y,-1.59,P,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,654.210514,f 640-700,f 640-700,0.98314416,3.7 +10,10,990,10,2,7,2,30,3.7,1.67,64,Y,1.55,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,685.78946,f 640-700,f 640-700,0.98314416,3.7 +4,4,992,4,2,7,1,35,3.7,-0.37,69,Y,-0.27,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +9,9,995,10,1,7,3,45,3.7,1.28,64,Y,1.14,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,922.631555,g 700+,i 820+,0.98314416,3.7 +5,1,1000,5,2,7,2,36,3.7,-0.17,69,Y,-1.5,F,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,7,1007,7,1,7,2,33,3.7,0.45,69,Y,0.49,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.157879,g 700+,g 700-760,0.98314416,3.7 +4,5,1017,4,2,7,4,46,3.7,-0.32,69,Y,-0.1,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +3,4,1029,3,2,7,1,37,3.7,-0.63,70,Y,-0.43,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,1035,10,2,7,3,44,3.7,2.12,67,Y,2.43,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,906.842082,g 700+,i 820+,0.98314416,3.7 +8,8,1085,8,1,7,1,33,3.7,0.8,69,Y,0.87,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +4,4,1087,4,1,7,4,40,3.7,-0.43,52,Y,-0.29,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +5,6,1089,6,1,7,3,38,3.7,-0.02,69,Y,0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,3,1092,4,2,7,1,31,3.7,-0.37,68,Y,-0.63,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.578933,g 700+,g 700-760,0.98314416,3.7 +10,10,1119,10,2,7,2,39,3.7,1.4,66,Y,1.85,P,7,P,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,827.894717,g 700+,i 820+,0.98314416,3.7 +8,8,1127,8,2,7,4,47,3.7,0.81,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +10,10,1139,10,1,7,3,44,3.7,2.05,65,Y,2.44,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,906.842082,g 700+,i 820+,0.98314416,3.7 +8,7,1172,8,1,7,3,30.5,3.7,0.64,66,Y,0.27,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +6,7,1209,6,2,7,5,39,3.7,0.15,68,Y,0.48,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +7,7,1218,7,2,7,1,37,3.7,0.4,69,Y,0.43,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,6,1229,6,1,7,5,42,3.7,0.32,69,Y,0.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +6,8,1245,7,2,7,1,42,3.7,0.3,68,Y,0.85,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +9,10,1305,9,1,7,1,48,3.7,1.11,68,Y,1.45,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,969.999974,g 700+,i 820+,0.98314416,3.7 +10,10,1357,10,2,7,1,43,3.7,2.5,69,Y,2.38,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +2,2,1389,2,1,7,3,33.5,3.7,-1.07,59,Y,-0.96,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,741.0526155,g 700+,g 700-760,0.98314416,3.7 +7,6,1412,7,1,7,4,37,3.7,0.41,69,Y,0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,10,1415,9,1,7,3,38,3.7,1.21,68,Y,1.68,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,6,1428,4,2,7,4,46,3.7,-0.25,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +10,7,1435,10,1,7,1,40,3.7,1.44,62,Y,0.43,P,7,P,94,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +4,3,1447,4,1,7,1,34,3.7,-0.24,68,Y,-0.81,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +10,10,1477,10,2,7,1,41,3.7,1.54,69,Y,1.69,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +7,7,1494,7,2,7,3,33,3.7,0.5,67,Y,0.42,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +1,1,1501,1,2,2,1,40,3.7,-1.59,67,Y,-2.01,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +8,9,1546,8,1,7,3,34,3.7,0.79,62,Y,0.98,P,7,P,95,2,2,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +9,9,1577,10,1,7,1,42,3.7,1.29,69,Y,1.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +5,5,1602,5,1,4,5,40,3.7,-0.07,70,Y,-0.14,P,7,P,94,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +1,2,1610,2,1,7,3,43,3.7,-1.26,69,Y,-1.16,F,7,F,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,891.052609,g 700+,i 820+,0.98314416,3.7 +1,1,1613,1,1,7,1,40,3.7,-1.78,69,Y,-1.54,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +4,4,1627,4,2,7,4,43,3.7,-0.26,69,Y,-0.4,F,2,P,96,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +3,4,1638,3,1,7,4,38,3.7,-0.54,69,Y,-0.34,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +6,9,1642,7,2,7,2,38,3.7,0.24,69,Y,0.89,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,7,1680,5,2,7,4,36,3.7,-0.06,68,Y,0.32,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +3,5,1683,3,1,7,3,34,3.7,-0.63,52,Y,-0.22,P,7,P,95,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +10,9,1690,10,1,7,4,29,3.7,1.33,69,Y,0.92,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,669.999987,f 640-700,f 640-700,0.98314416,3.7 +3,2,1709,3,2,7,1,43,3.7,-0.73,65,Y,-0.91,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +1,2,1725,1,2,7,5,47,3.7,-1.3,69,Y,-1,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +1,1,1749,1,2,7,4,40,3.7,-1.96,67,Y,-1.43,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +4,3,1754,4,2,7,4,41,3.7,-0.29,69,Y,-0.64,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +4,5,1758,5,2,7,1,37,3.7,-0.18,61,Y,-0.2,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,3,1771,3,2,7,4,44,3.7,-0.66,67,Y,-0.53,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +6,5,1817,6,2,7,4,44,3.7,0.08,69,Y,0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +7,7,1820,7,2,7,5,42,3.7,0.61,68,Y,0.28,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +7,6,1842,7,1,7,5,42,3.7,0.51,68,Y,0.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +5,6,1853,5,2,7,4,44,3.7,-0.03,66,Y,0.17,P,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +4,6,1881,4,1,7,1,39,3.7,-0.4,68,Y,0.21,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +9,9,1895,8,2,7,5,39,3.7,0.96,69,Y,1.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +,,1909,8,2,7,5,42,3.7,0.8,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +8,8,1938,8,1,7,4,35,3.7,0.76,69,Y,0.69,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,764.736825,g 700+,h 760-820,0.98314416,3.7 +5,5,1968,6,2,7,4,37.5,3.7,0.05,59,Y,-0.06,F,7,P,95,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,804.2105075,g 700+,h 760-820,0.98314416,3.7 +,,1972,,2,7,3,34.5,3.7,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.8420885,g 700+,g 700-760,0.98314416,3.7 +6,6,1991,6,1,7,5,39,3.7,0.09,66,Y,0.09,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +3,4,1998,3,1,7,4,30,3.7,-0.64,66,Y,-0.51,F,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,685.78946,f 640-700,f 640-700,0.98314416,3.7 +3,2,2013,3,2,8,1,38,3.7,-0.51,67,Y,-0.92,P,7,P,94,1,2,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,2027,10,1,7,1,47,3.7,2.23,57,Y,2.09,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,954.210501,g 700+,i 820+,0.98314416,3.7 +6,8,2028,7,2,7,3,38,3.7,0.29,68,Y,0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,5,2041,8,2,7,4,45,3.7,0.55,69,Y,-0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +,,2057,,2,7,1,36,3.7,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,9,2172,8,2,7,1,37,3.7,0.69,59,Y,1.09,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,4,2179,4,2,7,4,45,3.7,-0.47,68,Y,-0.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +7,7,2194,7,1,7,3,39,3.7,0.5,69,Y,0.35,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +3,4,2195,4,2,7,2,33,3.7,-0.52,63,Y,-0.33,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.157879,g 700+,g 700-760,0.98314416,3.7 +5,6,2214,5,2,7,2,37,3.7,-0.05,69,Y,0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,796.315771,g 700+,h 760-820,0.98314416,3.7 +2,2,2286,2,1,7,1,30,3.7,-0.93,61,Y,-1.1,P,2,P,95,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,685.78946,f 640-700,f 640-700,0.98314416,3.7 +6,8,2297,7,1,6,4,38,3.7,0.27,52,Y,0.62,P,7,P,94,1,3,-45,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +2,2,2348,3,2,7,1,40,3.7,-0.78,68,Y,-1.03,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +3,5,2359,3,1,7,4,39,3.7,-0.53,70,Y,-0.16,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +1,2,2366,1,1,7,3,39,3.7,-1.45,69,Y,-1.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +6,9,2371,6,2,7,4,40,3.7,0.09,69,Y,0.89,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +4,4,2448,4,2,7,4,41,3.7,-0.29,68,Y,-0.46,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +5,1,2464,5,2,7,4,36,3.7,-0.03,63,Y,-1.51,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,5,2551,7,2,7,4,40.5,3.7,0.4,56,Y,-0.2,P,2,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.5789265,g 700+,i 820+,0.98314416,3.7 +2,2,2570,2,2,7,1,42,3.7,-1.06,69,Y,-0.91,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +10,9,2576,10,2,7,3,34,3.7,1.55,69,Y,1.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +5,5,2582,5,2,7,1,34,3.7,0.01,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +4,3,2639,4,2,7,4,46,3.7,-0.39,69,Y,-0.85,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +3,4,2640,4,2,7,1,41,3.7,-0.44,69,Y,-0.43,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +4,6,2642,4,1,7,4,43,3.7,-0.25,68,Y,0.1,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +10,10,2645,10,1,7,2,37,3.7,2.53,69,Y,2.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,796.315771,g 700+,h 760-820,0.98314416,3.7 +2,2,2651,2,1,7,3,37,3.7,-0.91,70,Y,-1.11,P,2,P,95,2,3,-68,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,6,2678,7,2,2,4,41,3.7,0.27,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +8,7,2711,8,1,7,1,33,3.7,0.62,59,Y,0.3,F,7,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +7,6,2750,7,1,7,3,35,3.7,0.44,69,Y,0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +5,6,2758,5,1,7,5,42,3.7,-0.05,69,Y,0.24,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +9,10,2776,10,1,7,3,38,3.7,1.28,61,Y,1.97,P,7,P,95,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +3,6,2790,3,1,7,2,38,3.7,-0.64,63,Y,0,P,2,P,96,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,7,2824,8,1,7,4,39,3.7,0.8,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +10,10,2853,10,2,7,4,39,3.7,1.37,69,Y,1.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +9,10,2862,9,1,7,1,34,3.7,1.29,53,Y,1.41,P,7,P,94,1,2,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +8,10,2885,8,2,7,1,38,3.7,0.88,69,Y,1.56,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,6,2893,7,1,7,1,42,3.7,0.34,69,Y,0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +,,2895,,2,7,5,48,3.7,,63,Y,0,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +,,2922,6,2,7,5,43,3.7,0.28,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +8,9,2927,8,1,7,3,35,3.7,0.57,66,Y,1.14,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,10,2936,8,2,7,1,37,3.7,0.76,68,Y,1.59,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +4,4,2948,4,2,7,4,35.5,3.7,-0.4,67,Y,-0.36,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,772.6315615,g 700+,h 760-820,0.98314416,3.7 +5,9,2949,6,1,7,5,46,3.7,0.08,69,Y,0.94,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +,,2955,6,1,7,5,40,3.7,0.28,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +3,5,2959,3,2,7,5,45,3.7,-0.79,66,Y,-0.03,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +6,8,2962,7,1,7,3,39,3.7,0.26,55,Y,0.59,P,2,P,95,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +3,4,2969,4,1,7,3,35,3.7,-0.49,57,Y,-0.39,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +4,4,2975,4,2,7,1,32,3.7,-0.39,54,Y,-0.44,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +3,6,2993,4,1,7,2,28.5,3.7,-0.48,70,Y,-0.02,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,662.1052505,f 640-700,f 640-700,0.98314416,3.7 +8,7,3009,8,1,7,1,42,3.7,0.78,61,Y,0.3,P,2,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +3,4,3053,3,1,7,3,28,3.7,-0.58,60,Y,-0.54,P,7,P,95,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.210514,f 640-700,f 640-700,0.98314416,3.7 +8,9,3115,8,2,7,1,42,3.7,0.74,67,Y,0.92,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +7,8,3123,7,2,7,4,46,3.7,0.41,65,Y,0.59,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +4,6,3143,4,2,7,5,40,3.7,-0.25,69,Y,0.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +9,6,3201,9,2,7,4,47,3.7,1.07,69,Y,0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +5,2,3203,5,2,7,1,45,3.7,-0.07,69,Y,-1.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +6,6,3205,6,1,7,4,40,3.7,0.09,69,Y,0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +6,5,3208,6,1,7,1,38,3.7,0.1,68,Y,-0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,7,3227,4,2,7,5,41,3.7,-0.31,60,Y,0.42,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +3,1,3259,3,1,7,5,41,3.7,-0.81,63,Y,-1.48,F,7,F,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +2,2,3266,3,2,7,5,43,3.7,-0.85,68,Y,-0.92,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +6,5,3306,6,1,7,5,44,3.7,0.22,51,Y,-0.07,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +7,8,3312,7,2,7,5,42,3.7,0.48,69,Y,0.67,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +5,5,3324,5,1,7,4,39,3.7,0,61,Y,-0.13,P,1,P,95,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +7,8,3331,8,2,7,3,32,3.7,0.55,68,Y,0.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +10,10,3347,10,1,7,4,41,3.7,1.83,67,Y,1.91,P,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +4,6,3359,5,1,7,3,38,3.7,-0.19,69,Y,0.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,9,3365,8,1,7,4,41,3.7,0.8,60,Y,0.87,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +6,7,3374,6,2,7,4,43,3.7,0.19,60,Y,0.39,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +5,4,3415,5,2,7,4,44,3.7,-0.08,69,Y,-0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +3,3,3439,3,2,7,4,39,3.7,-0.65,66,Y,-0.54,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +10,10,3461,10,1,7,2,46,3.7,2.18,69,Y,2.43,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,938.421028,g 700+,i 820+,0.98314416,3.7 +2,1,3488,2,2,2,1,40,3.7,-1.06,65,Y,-1.53,F,7,P,95,1,2,-58,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +6,6,3508,6,1,7,3,40,3.7,0.2,69,Y,-0.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +10,9,3512,10,1,7,4,46,3.7,1.86,69,Y,0.98,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +8,8,3562,9,2,7,3,41,3.7,0.85,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +,,3574,,2,7,,38,3.7,1.54,66,Y,1.25,P,2,P,95,1,2,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,812.105244,g 700+,h 760-820,0.98314416,3.7 +2,1,3604,2,1,7,4,38,3.7,-1.02,70,Y,-1.41,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,6,3617,5,2,7,1,37,3.7,0.04,69,Y,0.15,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,3652,10,2,7,4,47,3.7,2.39,69,Y,1.97,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +10,10,3661,10,1,7,4,36,3.7,1.71,67,Y,1.96,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +2,2,3682,2,2,7,1,38,3.7,-0.83,69,Y,-0.94,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,4,3689,8,1,7,1,37,3.7,0.74,63,Y,-0.35,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,7,3693,4,1,7,3,33,3.7,-0.47,65,Y,0.42,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +3,4,3696,3,1,7,1,37,3.7,-0.59,66,Y,-0.44,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +7,6,3723,7,2,7,1,32.5,3.7,0.5,67,Y,0.08,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,725.2631425,g 700+,g 700-760,0.98314416,3.7 +8,10,3748,8,2,7,3,25.5,3.7,0.65,69,Y,1.32,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.7368315,e 580-640,e 580-640,0.98314416,3.7 +3,6,3764,3,1,8,4,40,3.7,-0.66,69,Y,0.18,P,7,P,94,1,5,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +8,7,3797,8,2,7,3,37,3.7,0.74,68,Y,0.54,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,5,3808,6,1,7,3,37,3.7,0.08,61,Y,-0.27,P,2,P,95,1,1,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,8,3824,9,2,7,4,37,3.7,1.02,60,Y,0.7,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,3888,10,1,7,1,41,3.7,1.86,68,Y,1.53,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +,,3916,,1,8,5,42,3.7,,70,Y,,P,7,P,94,1,4,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,3918,9,2,7,3,28,3.7,0.97,69,Y,1.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.210514,f 640-700,f 640-700,0.98314416,3.7 +9,9,3921,9,1,7,1,37,3.7,1.19,69,Y,1.18,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,9,3953,8,2,7,4,40,3.7,0.75,67,Y,1.13,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +5,3,3971,5,1,7,1,37,3.7,0.01,46,Y,-0.55,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,9,4024,9,1,7,1,45,3.7,1.04,68,Y,0.92,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +6,8,4034,6,2,8,5,40,3.7,0.17,70,Y,0.55,P,7,P,95,1,5,-63,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +8,9,4051,8,2,7,1,40,3.7,0.82,64,Y,0.9,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +7,8,4112,7,2,7,2,42,3.7,0.42,67,Y,0.82,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,875.263136,g 700+,i 820+,0.98314416,3.7 +4,5,4123,5,2,7,1,40,3.7,-0.19,57,Y,0,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +10,10,4124,10,1,7,3,40,3.7,1.61,69,Y,1.9,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +10,8,4134,10,1,7,3,31,3.7,1.45,60,Y,0.84,P,7,P,95,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +4,4,4138,4,1,2,5,38,3.7,-0.38,66,Y,-0.45,F,2,P,96,1,4,-64,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,812.105244,g 700+,h 760-820,0.98314416,3.7 +6,7,4158,6,2,7,5,38,3.7,0.33,68,Y,0.51,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,8,4190,9,2,7,3,36,3.7,0.91,58,Y,0.78,P,7,P,94,1,1,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,2,4238,5,2,7,1,31.5,3.7,-0.2,68,Y,-0.97,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,709.4736695,g 700+,g 700-760,0.98314416,3.7 +10,10,4247,10,2,7,1,39,3.7,1.31,64,Y,1.68,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +,,4251,6,1,7,5,40,3.7,0.34,67,Y,,P,7,P,94,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +8,9,4266,8,2,7,4,38,3.7,0.67,69,Y,1.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,3,4275,4,1,7,1,30,3.7,-0.32,48,Y,-0.73,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,685.78946,f 640-700,f 640-700,0.98314416,3.7 +6,4,4287,6,1,4,4,34,3.7,0.11,62,Y,-0.42,P,7,P,94,1,2,-55,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,748.947352,g 700+,g 700-760,0.98314416,3.7 +8,9,4297,8,2,7,3,39,3.7,0.58,67,Y,1.19,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +7,6,4306,7,2,7,3,33.5,3.7,0.43,68,Y,0.17,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,741.0526155,g 700+,g 700-760,0.98314416,3.7 +8,9,4342,8,2,7,2,37,3.7,0.77,68,Y,0.93,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,9,4351,8,1,7,1,37,3.7,0.63,69,Y,1.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +2,4,4354,2,1,7,1,39,3.7,-1.13,51,Y,-0.53,F,7,P,95,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +6,6,4362,7,2,7,1,37,3.7,0.31,69,Y,0.25,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,7,4388,8,2,7,4,34,3.7,0.56,68,Y,0.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,748.947352,g 700+,g 700-760,0.98314416,3.7 +9,9,4399,9,1,7,5,47,3.7,1.16,66,Y,0.86,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +7,7,4471,7,1,7,2,33,3.7,0.3,67,Y,0.41,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.157879,g 700+,g 700-760,0.98314416,3.7 +7,8,4489,7,2,8,5,47,3.7,0.6,69,Y,0.56,P,7,P,95,1,2,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +7,4,4536,7,2,7,5,43,3.7,0.48,69,Y,-0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +9,10,4565,9,2,7,1,37,3.7,1.07,65,Y,1.41,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,4607,,2,7,4,35,3.7,,66,Y,,P,7,P,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,764.736825,g 700+,h 760-820,0.98314416,3.7 +10,10,4609,10,1,7,1,38,3.7,1.49,67,Y,1.42,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,5,4624,4,2,7,5,42,3.7,-0.34,67,Y,-0.13,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +4,4,4660,4,2,7,3,40,3.7,-0.36,69,Y,-0.35,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +7,9,4663,7,1,7,1,38,3.7,0.34,62,Y,1.13,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,7,4702,8,2,2,4,40,3.7,0.67,68,Y,0.51,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +,,4708,,2,7,1,41,3.7,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +10,10,4742,10,1,7,4,38,3.7,1.68,68,Y,1.92,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +3,1,4744,3,1,7,4,47,3.7,-0.5,69,Y,-1.49,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +9,7,4751,9,1,7,4,45,3.7,0.93,69,Y,0.48,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +5,3,4768,5,2,7,5,41.5,3.7,0.03,66,Y,-0.79,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,867.3683995,g 700+,i 820+,0.98314416,3.7 +1,1,4773,1,2,7,4,40,3.7,-1.37,65,Y,-1.45,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +6,6,4786,6,1,7,4,34,3.7,0.15,69,Y,0.19,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,748.947352,g 700+,g 700-760,0.98314416,3.7 +8,7,4810,8,1,7,3,36,3.7,0.62,68,Y,0.39,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,4820,10,2,7,3,35,3.7,1.38,68,Y,1.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +3,4,4830,3,1,7,4,47,3.7,-0.65,69,Y,-0.41,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +3,2,4831,3,1,7,4,32,3.7,-0.7,62,Y,-1.2,P,2,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.368406,g 700+,g 700-760,0.98314416,3.7 +2,3,4873,2,1,7,4,42,3.7,-0.91,68,Y,-0.75,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +6,5,4902,6,2,7,1,32,3.7,0.18,63,Y,-0.11,P,2,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +8,8,4918,8,1,7,4,46,3.7,0.75,69,Y,0.69,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +8,6,4935,8,2,7,1,41,3.7,0.77,69,Y,0.21,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +7,9,4947,7,1,7,1,34,3.7,0.46,69,Y,0.91,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +6,6,5002,6,2,7,5,46,3.7,0.16,66,Y,0.05,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +9,10,5005,9,1,7,4,33.5,3.7,1.14,68,Y,1.59,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,741.0526155,g 700+,g 700-760,0.98314416,3.7 +,,5015,7,2,7,5,48,3.7,0.55,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +1,4,5040,2,2,7,3,36,3.7,-1.28,66,Y,-0.48,P,2,P,95,2,5,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +9,9,5055,9,2,7,1,42,3.7,0.93,68,Y,1.2,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +9,10,5084,9,2,7,5,43,3.7,1.28,69,Y,1.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +6,7,5093,6,2,7,1,38,3.7,0.11,68,Y,0.32,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,9,5099,9,2,7,6,35,3.7,1.1,63,Y,1,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,764.736825,g 700+,h 760-820,0.98314416,3.7 +1,3,5114,1,2,7,4,38,3.7,-2.75,67,Y,-0.8,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,2,5137,5,1,7,5,41,3.7,0.04,68,Y,-0.86,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +8,7,5152,8,2,7,5,45,3.7,0.86,67,Y,0.42,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +2,2,5161,2,1,7,3,35,3.7,-1.09,68,Y,-0.99,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +2,3,5173,3,2,4,6,25,3.7,-0.81,68,Y,-0.82,F,7,F,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,606.842095,e 580-640,e 580-640,0.98314416,3.7 +7,8,5207,7,1,7,3,37,3.7,0.51,67,Y,0.63,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,5209,,2,7,5,41,3.7,,62,Y,,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +1,3,5223,2,2,7,1,41,3.7,-1.21,68,Y,-0.83,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +2,3,5237,3,1,2,5,43,3.7,-0.85,69,Y,-0.6,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +10,10,5246,10,1,7,4,46,3.7,1.92,69,Y,1.41,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +7,8,5250,8,2,7,1,43,3.7,0.61,63,Y,0.82,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +2,6,5270,3,2,7,3,36,3.7,-0.7,68,Y,0.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,7,5293,6,1,7,5,48,3.7,0.26,69,Y,0.29,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +10,10,5308,10,1,7,1,43,3.7,1.56,63,Y,1.88,P,7,P,95,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +8,8,5369,8,2,7,3,35,3.7,0.78,54,Y,0.74,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,9,5427,8,2,7,4,42,3.7,0.61,68,Y,0.87,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +5,5,5437,5,1,7,3,31,3.7,-0.03,65,Y,-0.22,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +8,8,5440,8,1,7,1,35,3.7,0.74,65,Y,0.79,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,7,5461,7,1,7,1,40,3.7,0.35,70,Y,0.52,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +2,1,5465,3,2,7,3,35,3.7,-0.79,59,Y,-1.59,F,7,F,95,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,8,5480,7,2,7,1,44,3.7,0.54,70,Y,0.84,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +4,7,5506,4,2,7,4,39,3.7,-0.29,69,Y,0.38,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +2,4,5550,2,1,3,3,32,3.7,-0.85,69,Y,-0.42,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +10,10,5584,10,1,7,1,37.5,3.7,2.06,69,Y,1.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,804.2105075,g 700+,h 760-820,0.98314416,3.7 +6,8,5599,6,1,7,4,39,3.7,0.22,65,Y,0.79,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +6,4,5619,6,1,7,3,36,3.7,0.17,69,Y,-0.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,5637,10,1,7,5,39,3.7,1.95,69,Y,2.23,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +6,6,5649,6,1,6,3,33,3.7,0.17,68,Y,0.12,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +9,10,5672,9,1,7,5,43,3.7,1.33,69,Y,1.59,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +6,7,5679,7,1,7,1,41,3.7,0.31,68,Y,0.47,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +5,8,5702,6,1,7,3,44,3.7,0.03,57,Y,0.6,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,906.842082,g 700+,i 820+,0.98314416,3.7 +7,9,5714,7,2,7,1,41,3.7,0.47,69,Y,1.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +1,1,5732,1,1,7,1,39,3.7,-1.32,54,Y,-1.62,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +9,8,5741,9,1,8,3,35,3.7,0.99,53,Y,0.74,P,2,P,96,1,3,-51,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +5,7,5753,5,2,7,4,46,3.7,-0.12,68,Y,0.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +10,10,5769,10,2,8,4,45,3.7,1.79,65,Y,1.53,P,7,P,94,1,5,-58,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +8,8,5773,8,1,2,3,35,3.7,0.76,69,Y,0.63,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +1,4,5789,2,1,2,4,40,3.7,-1.24,66,Y,-0.5,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +9,10,5794,9,1,7,1,42,3.7,1.18,66,Y,1.38,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +8,8,5802,8,1,7,4,40,3.7,0.61,64,Y,0.56,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +,,5851,,1,7,4,37,3.7,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +4,6,5906,4,1,7,5,42,3.7,-0.43,56,Y,0.13,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +10,10,5929,10,1,7,6,40,3.7,2.33,68,Y,1.83,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,843.68419,g 700+,i 820+,0.98314416,3.7 +7,8,5936,8,2,7,1,42,3.7,0.59,65,Y,0.77,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +7,7,5957,7,1,7,4,42,3.7,0.34,69,Y,0.35,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +6,4,5961,6,2,7,4,44,3.7,0.08,67,Y,-0.28,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,5966,10,2,7,4,48,3.7,1.82,68,Y,1.59,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +9,10,6030,9,1,7,5,46,3.7,1.23,69,Y,1.36,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +10,9,6048,10,1,7,1,45,3.7,1.38,69,Y,1.14,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +9,9,6065,9,1,7,2,31,3.7,0.88,52,Y,1.01,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,701.578933,g 700+,g 700-760,0.98314416,3.7 +10,10,6076,10,2,7,4,44,3.7,2.52,68,Y,2.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +6,7,6080,6,1,7,1,38,3.7,0.24,66,Y,0.35,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,7,6086,8,2,7,4,42,3.7,0.67,68,Y,0.32,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +6,3,6088,6,1,7,1,32,3.7,0.14,66,Y,-0.87,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +1,1,6098,1,1,2,5,40,3.7,-1.66,69,Y,-2.11,F,7,F,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +10,10,6114,10,2,7,1,41,3.7,1.5,61,Y,1.74,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +1,2,6120,1,2,7,4,42,3.7,-1.36,65,Y,-1.14,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +5,4,6121,5,2,2,5,29.5,3.7,-0.05,63,Y,-0.29,P,7,P,94,1,3,-56,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,677.8947235,f 640-700,f 640-700,0.98314416,3.7 +5,4,6152,5,2,7,4,47,3.7,-0.11,69,Y,-0.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +2,3,6168,2,1,7,4,39,3.7,-1.1,68,Y,-0.81,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +7,6,6214,7,1,8,1,23,3.7,0.45,68,Y,0.25,P,7,P,94,1,4,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,575.263149,d 520-580,d 520-580,0.98314416,3.7 +1,3,6264,1,1,7,1,35,3.7,-1.35,67,Y,-0.67,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,7,6276,7,2,7,4,42,3.7,0.34,69,Y,0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +4,5,6289,5,2,7,5,45,3.7,-0.2,64,Y,-0.17,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +7,8,6292,8,1,7,3,33,3.7,0.55,69,Y,0.56,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +6,6,6341,6,1,7,1,36,3.7,0.23,69,Y,0.23,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,9,6342,8,1,7,1,43,3.7,0.76,68,Y,0.97,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +9,8,6349,10,1,7,1,36,3.7,1.3,69,Y,0.66,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +9,10,6353,9,2,7,4,41,3.7,1.14,69,Y,1.3,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +2,1,6365,2,2,7,1,37,3.7,-0.98,61,Y,-1.46,P,2,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,10,6376,9,1,3,6,24,3.7,0.92,70,Y,1.77,P,7,P,94,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,591.052622,e 580-640,e 580-640,0.98314416,3.7 +3,2,6381,3,1,7,1,36,3.7,-0.64,69,Y,-1.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,5,6384,5,2,7,1,38,3.7,0.01,68,Y,-0.21,P,2,P,95,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,10,6389,9,2,7,4,43,3.7,1.06,69,Y,1.42,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +9,9,6405,9,1,7,1,43,3.7,1.26,68,Y,1.28,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +7,7,6411,7,2,7,1,43,3.7,0.37,69,Y,0.42,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +7,5,6442,7,2,7,4,43,3.7,0.28,68,Y,0.02,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +10,9,6455,10,1,7,1,39,3.7,1.36,61,Y,1.22,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +10,10,6489,10,2,7,1,36,3.7,2.38,67,Y,1.95,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,6,6501,5,2,7,4,47,3.7,-0.03,60,Y,0.24,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +4,3,6534,4,2,7,5,47,3.7,-0.32,69,Y,-0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +2,2,6554,3,1,7,3,32,3.7,-0.76,69,Y,-1.01,F,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +3,4,6556,3,2,7,1,37,3.7,-0.68,68,Y,-0.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,6,6563,6,1,7,3,39,3.7,0.01,69,Y,0.04,P,2,P,94,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +,,6575,,1,7,1,36,3.7,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +,,6582,,1,7,3,38,3.7,,70,Y,,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +1,1,6588,1,1,7,5,40,3.7,-1.76,69,Y,-1.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +5,6,6601,5,2,7,4,40,3.7,-0.04,67,Y,0.06,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +8,7,6603,8,1,7,3,39,3.7,0.78,67,Y,0.35,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +7,8,6646,7,2,7,5,42,3.7,0.47,66,Y,0.59,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +7,6,6686,7,2,7,3,45,3.7,0.47,66,Y,0.03,P,2,P,95,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,922.631555,g 700+,i 820+,0.98314416,3.7 +4,5,6691,4,1,7,1,37,3.7,-0.39,69,Y,-0.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +1,1,6692,1,2,4,4,33,3.7,-2.3,67,Y,-1.81,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +5,5,6693,5,1,7,1,38,3.7,-0.15,64,Y,-0.14,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +1,1,6694,1,1,7,4,45,3.7,-1.47,69,Y,-2.52,F,7,F,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +,,6719,,2,7,5,42,3.7,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +7,7,6729,8,1,7,1,35,3.7,0.59,69,Y,0.5,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +4,7,6737,5,2,8,3,39.5,3.7,-0.22,66,Y,0.29,P,2,P,95,2,5,-64,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,835.7894535,g 700+,i 820+,0.98314416,3.7 +3,3,6750,3,1,2,4,44,3.7,-0.61,69,Y,-0.73,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +2,2,6763,3,2,7,1,40,3.7,-0.81,64,Y,-1.02,P,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +3,5,6782,3,1,7,3,38.5,3.7,-0.65,58,Y,-0.11,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,819.9999805,g 700+,h 760-820,0.98314416,3.7 +7,8,6826,7,1,7,4,47,3.7,0.4,66,Y,0.58,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +3,3,6846,3,1,3,5,31,3.7,-0.52,70,Y,-0.79,P,7,P,94,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,701.578933,g 700+,g 700-760,0.98314416,3.7 +3,3,6872,4,1,7,3,37,3.7,-0.47,68,Y,-0.6,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +7,6,6886,7,1,2,4,44,3.7,0.34,70,Y,0.09,P,7,P,94,1,4,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,6949,10,2,7,4,48,3.7,1.77,67,Y,1.39,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +4,7,6980,5,2,7,5,44,3.7,-0.17,69,Y,0.47,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,7016,10,2,7,1,48,3.7,1.89,69,Y,1.79,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,969.999974,g 700+,i 820+,0.98314416,3.7 +1,1,7063,1,2,2,4,40,3.7,-1.3,68,Y,-1.47,P,7,P,95,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +1,1,7065,1,2,4,4,38,3.7,-1.58,69,Y,-1.83,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,7,7081,10,2,7,4,45,3.7,1.28,69,Y,0.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +5,5,7156,5,1,7,1,40,3.7,-0.05,67,Y,-0.15,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +,,7200,,2,7,5,47,3.7,,70,Y,0,P,7,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +6,5,7205,7,2,7,3,40,3.7,0.26,66,Y,-0.25,P,7,P,95,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +5,3,7206,5,2,7,1,39,3.7,-0.16,69,Y,-0.55,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +7,7,7231,7,1,7,2,26,3.7,0.38,68,Y,0.4,P,7,P,94,,3,-61,female,,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,622.631568,e 580-640,e 580-640,0.98314416,3.7 +,,7254,6,2,7,5,47,3.7,0.12,,Y,,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +7,8,7265,7,2,7,1,37,3.7,0.56,66,Y,0.61,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,9,7285,9,2,7,1,41,3.7,1.09,63,Y,1.16,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +3,3,7320,3,1,7,5,44,3.7,-0.66,69,Y,-0.71,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +6,5,7365,7,2,7,4,44,3.7,0.27,69,Y,0.02,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,7395,10,2,7,5,42,3.7,2.2,60,Y,2.6,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +10,5,7489,10,1,6,5,40,3.7,2.26,70,Y,0,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +6,5,7493,6,1,7,3,35,3.7,0.21,66,Y,-0.15,P,2,P,94,1,1,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +10,10,7500,10,2,7,3,32,3.7,1.62,56,Y,1.5,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +3,5,7504,3,1,7,4,41,3.7,-0.65,69,Y,-0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +5,4,7505,6,2,7,1,34,3.7,0.08,68,Y,-0.37,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +4,5,7508,4,2,7,1,37,3.7,-0.39,69,Y,-0.16,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +4,3,7527,5,1,3,3,25,3.7,-0.23,63,Y,-0.75,F,7,F,95,1,1,-56,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,606.842095,e 580-640,e 580-640,0.98314416,3.7 +2,2,7534,2,1,7,4,40,3.7,-0.83,67,Y,-1.03,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +1,1,7538,1,2,3,4,29.5,3.7,-1.77,68,Y,-1.91,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,677.8947235,f 640-700,f 640-700,0.98314416,3.7 +,,7549,,1,7,5,46,3.7,,67,Y,0,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +7,6,7558,7,2,7,5,39,3.7,0.43,68,Y,0.24,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +5,5,7561,5,1,7,5,44,3.7,-0.14,70,Y,-0.1,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +1,1,7573,1,1,4,4,40.5,3.7,-1.82,68,Y,-1.38,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.5789265,g 700+,i 820+,0.98314416,3.7 +10,10,7594,10,2,7,1,43,3.7,1.68,69,Y,1.64,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +9,9,7610,9,2,7,5,42.5,3.7,1.14,69,Y,1.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,883.1578725,g 700+,i 820+,0.98314416,3.7 +10,10,7640,10,2,7,2,39,3.7,1.42,63,Y,1.43,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,827.894717,g 700+,i 820+,0.98314416,3.7 +4,6,7672,4,2,7,1,42,3.7,-0.24,69,Y,0.11,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +5,4,7695,5,2,7,1,35,3.7,-0.03,66,Y,-0.34,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +5,6,7702,6,1,7,3,31,3.7,0.01,69,Y,0.04,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +10,9,7718,10,1,2,1,41,3.7,1.65,66,Y,1.22,P,7,P,94,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +,,7744,3,2,7,5,43,3.7,-0.75,58,Y,,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +8,9,7839,8,1,7,4,45,3.7,0.6,69,Y,0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +7,8,7852,7,2,7,1,31,3.7,0.48,67,Y,0.57,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.578933,g 700+,g 700-760,0.98314416,3.7 +9,9,7896,9,2,7,1,44,3.7,1.07,53,Y,1.21,P,7,P,94,1,4,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +1,1,7902,1,2,7,1,37,3.7,-1.92,69,Y,-1.77,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,7916,4,1,7,5,41,3.7,-0.32,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +5,6,7923,5,2,7,4,31,3.7,0.01,61,Y,0.25,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,701.578933,g 700+,g 700-760,0.98314416,3.7 +4,3,7972,4,2,7,1,36,3.7,-0.32,65,Y,-0.82,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,6,7987,5,2,7,3,35,3.7,-0.24,58,Y,0.05,P,2,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,7,8040,8,1,7,1,42,3.7,0.87,69,Y,0.44,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +3,2,8097,3,2,7,1,42,3.7,-0.66,65,Y,-1.01,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +3,4,8117,4,1,7,3,28,3.7,-0.44,52,Y,-0.35,P,7,P,94,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.210514,f 640-700,f 640-700,0.98314416,3.7 +2,2,8134,3,2,7,1,32,3.7,-0.77,69,Y,-0.96,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +2,3,8142,2,1,7,4,42,3.7,-0.97,62,Y,-0.63,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +8,8,8164,9,2,7,1,39,3.7,0.88,64,Y,0.86,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +7,10,8168,7,1,7,4,40,3.7,0.33,68,Y,1.31,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +2,4,8221,2,2,7,4,41,3.7,-0.84,68,Y,-0.37,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +3,3,8224,4,1,2,4,47,3.7,-0.47,68,Y,-0.79,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +9,9,8234,9,2,7,1,37,3.7,1.08,68,Y,1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,7,8252,8,2,7,5,44,3.7,0.67,68,Y,0.37,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,8255,10,2,7,6,40,3.7,2.27,48,Y,2.38,P,7,P,95,2,4,-41,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,843.68419,g 700+,i 820+,0.98314416,3.7 +2,3,8272,2,2,7,4,37.3,3.7,-1.04,68,Y,-0.78,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,801.0526129,g 700+,h 760-820,0.98314416,3.7 +3,6,8281,4,1,3,6,33,3.7,-0.55,70,Y,0.01,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,733.157879,g 700+,g 700-760,0.98314416,3.7 +,,8290,6,2,7,5,41,3.7,0.2,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +6,4,8325,6,1,2,5,41,3.7,0.1,69,Y,-0.34,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +7,9,8328,8,1,7,2,37,3.7,0.51,69,Y,0.93,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,4,8338,4,1,7,1,36,3.7,-0.47,56,Y,-0.37,P,2,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,8,8373,8,2,7,2,33,3.7,0.71,69,Y,0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.157879,g 700+,g 700-760,0.98314416,3.7 +10,6,8374,10,2,7,1,35,3.7,1.93,56,Y,0.2,P,7,P,95,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,7,8390,7,1,7,5,43,3.7,0.47,64,Y,0.39,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +8,10,8431,8,1,7,3,38,3.7,0.69,65,Y,1.39,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,8,8440,7,1,7,3,33,3.7,0.38,63,Y,0.67,P,2,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +2,3,8462,2,1,7,4,40,3.7,-0.84,67,Y,-0.76,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +7,5,8485,7,2,7,1,42,3.7,0.46,67,Y,-0.21,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +4,4,8505,4,1,7,4,47,3.7,-0.43,67,Y,-0.31,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +4,5,8542,4,1,7,1,37.5,3.7,-0.23,66,Y,-0.15,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,804.2105075,g 700+,h 760-820,0.98314416,3.7 +10,10,8555,10,2,7,3,30,3.7,1.82,69,Y,2.53,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.78946,f 640-700,f 640-700,0.98314416,3.7 +,,8565,4,2,7,5,42,3.7,-0.34,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +10,10,8569,10,2,7,1,41,3.7,1.66,69,Y,1.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +9,9,8575,9,2,7,4,43,3.7,1.07,69,Y,0.98,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +2,1,8599,2,2,7,1,40,3.7,-0.96,69,Y,-1.34,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +2,1,8624,3,1,7,3,34,3.7,-0.8,68,Y,-1.71,P,7,P,95,2,2,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +,,8628,,1,7,3,33,3.7,,66,Y,-0.1,P,2,P,95,2,2,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +10,9,8644,10,2,7,1,41,3.7,1.81,67,Y,1.14,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +2,2,8651,2,2,7,1,38,3.7,-0.93,61,Y,-1.09,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,2,8666,4,1,7,1,26.5,3.7,-0.26,68,Y,-1.07,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,630.5263045,e 580-640,e 580-640,0.98314416,3.7 +,,8692,,2,7,5,46,3.7,,68,Y,0,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +1,2,8708,1,2,4,4,44,3.7,-1.36,70,Y,-1.1,P,7,P,94,1,3,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +9,8,8733,9,1,7,1,37,3.7,1.09,69,Y,0.81,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,4,8735,5,1,7,1,41,3.7,0.01,68,Y,-0.38,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +4,4,8749,4,2,7,1,35,3.7,-0.38,69,Y,-0.47,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,6,8752,7,1,7,4,39,3.7,0.48,68,Y,0.06,P,7,P,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +8,6,8762,8,1,7,2,25,3.7,0.79,68,Y,0.1,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,606.842095,e 580-640,e 580-640,0.98314416,3.7 +10,8,8790,10,2,7,4,42,3.7,1.4,69,Y,0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +6,7,8800,6,2,7,5,44,3.7,0.29,69,Y,0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +7,7,8820,7,1,7,4,42,3.7,0.4,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +7,8,8821,7,1,7,3,37,3.7,0.46,69,Y,0.86,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,6,8845,6,1,8,4,41,3.7,0.21,69,Y,0.12,P,7,P,94,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +3,4,8876,3,1,7,4,41,3.7,-0.61,68,Y,-0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +9,9,8880,9,2,7,4,43,3.7,1.13,69,Y,0.91,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +5,6,8932,6,2,7,5,42.5,3.7,0.07,68,Y,0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,883.1578725,g 700+,i 820+,0.98314416,3.7 +9,9,8950,9,2,7,3,41,3.7,1.06,69,Y,1.28,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +4,3,8974,4,1,7,4,31,3.7,-0.37,69,Y,-0.82,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,701.578933,g 700+,g 700-760,0.98314416,3.7 +9,9,8986,9,2,7,1,43,3.7,1.08,70,Y,1.08,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +3,3,8991,4,1,7,3,36,3.7,-0.47,68,Y,-0.77,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +3,4,9009,4,1,7,3,28,3.7,-0.5,69,Y,-0.45,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.210514,f 640-700,f 640-700,0.98314416,3.7 +10,10,9023,10,2,2,4,40,3.7,1.59,69,Y,1.75,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +8,8,9034,8,1,7,1,43,3.7,0.85,66,Y,0.84,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +2,3,9043,3,1,3,3,25,3.7,-0.76,61,Y,-0.68,F,7,P,95,1,4,-54,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,606.842095,e 580-640,e 580-640,0.98314416,3.7 +5,6,9053,5,1,7,1,41,3.7,-0.02,58,Y,0.06,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +7,4,9055,7,1,7,4,28,3.7,0.38,69,Y,-0.49,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,654.210514,f 640-700,f 640-700,0.98314416,3.7 +8,9,9062,8,1,7,1,40,3.7,0.66,69,Y,1.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +6,8,9102,6,2,7,4,46,3.7,0.21,68,Y,0.61,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +10,10,9142,10,1,7,5,47,3.7,2.36,65,Y,2.32,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +8,8,9208,9,2,7,4,45,3.7,0.86,69,Y,0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +6,7,9209,6,2,7,4,38,3.7,0.14,66,Y,0.46,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,6,9222,7,2,7,5,39,3.7,0.38,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +6,7,9229,6,2,7,3,36,3.7,0.1,69,Y,0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,7,9246,5,1,7,4,36,3.7,-0.07,68,Y,0.42,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +1,2,9250,1,2,2,4,36,3.7,-1.57,56,Y,-0.94,F,7,P,96,2,2,-49,male,1,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,5,9256,7,1,7,1,35,3.7,0.52,67,Y,-0.01,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,6,9277,8,2,2,1,38,3.7,0.78,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +6,8,9280,6,1,7,4,45,3.7,0.15,69,Y,0.63,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +9,9,9313,9,1,7,3,37,3.7,0.96,67,Y,1.12,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,8,9331,8,1,7,1,48,3.7,0.76,68,Y,0.58,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,969.999974,g 700+,i 820+,0.98314416,3.7 +10,10,9337,10,2,7,4,43,3.7,2.43,69,Y,2.49,P,2,P,96,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +5,6,9340,5,2,7,5,48,3.7,-0.14,68,Y,0.04,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +9,8,9403,9,1,7,1,35,3.7,0.92,69,Y,0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,9,9487,8,1,7,3,42,3.7,0.77,69,Y,1.27,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,875.263136,g 700+,i 820+,0.98314416,3.7 +4,4,9517,4,2,7,5,47,3.7,-0.28,68,Y,-0.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +6,6,9534,6,1,7,1,36,3.7,0.14,51,Y,0.14,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +,,9555,6,2,7,5,38,3.7,0.31,64,Y,,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,812.105244,g 700+,h 760-820,0.98314416,3.7 +6,5,9571,6,2,7,1,39,3.7,0.17,68,Y,-0.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +,,9573,,2,7,5,41,3.7,,60,Y,,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +6,6,9586,6,1,7,1,40,3.7,0.29,68,Y,0.14,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +6,7,9595,6,1,7,3,35,3.7,0.14,53,Y,0.28,P,2,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +10,10,9606,10,2,7,4,40,3.7,1.48,68,Y,1.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +10,10,9619,10,1,7,3,37,3.7,1.53,,Y,1.85,P,7,P,95,2,4,,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,4,9622,3,2,8,3,36,3.7,-0.53,66,Y,-0.46,P,7,P,94,1,4,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,7,9640,8,1,7,1,39,3.7,0.62,70,Y,0.53,P,2,P,95,1,3,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +9,9,9691,9,1,7,1,40,3.7,1.06,69,Y,1.22,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +6,3,9694,6,2,7,1,31.5,3.7,0.12,68,Y,-0.83,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,709.4736695,g 700+,g 700-760,0.98314416,3.7 +10,10,9698,10,1,7,3,33,3.7,1.4,65,Y,1.33,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +9,6,9733,9,2,7,4,44,3.7,1.01,64,Y,0.12,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +1,1,9734,1,2,7,1,41,3.7,-1.65,68,Y,-1.89,F,7,P,96,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +7,8,9747,7,2,7,1,38,3.7,0.47,69,Y,0.73,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,9,9780,10,2,7,3,45,3.7,1.71,66,Y,1.24,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,922.631555,g 700+,i 820+,0.98314416,3.7 +6,6,9798,6,1,7,3,40,3.7,0.21,69,Y,0.2,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +4,8,9837,4,1,7,3,38,3.7,-0.31,59,Y,0.61,P,7,P,95,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,9838,10,2,7,4,37,3.7,2,65,Y,1.71,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +1,7,9848,2,2,7,1,35,3.7,-1.22,69,Y,0.45,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +6,5,9854,6,2,7,4,37,3.7,0.17,62,Y,-0.16,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,9857,10,1,7,1,39,3.7,1.44,69,Y,2.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +2,2,9911,2,2,7,5,48,3.7,-0.96,69,Y,-1.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +6,7,9918,6,2,7,1,39,3.7,0.23,69,Y,0.34,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +7,6,9940,7,1,7,5,46,3.7,0.56,67,Y,0.25,P,2,P,96,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +6,6,9970,6,1,7,4,37,3.7,0.14,69,Y,0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,10,9996,9,2,7,4,44,3.7,1.25,67,Y,1.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,10009,10,1,7,3,41,3.7,1.86,67,Y,1.88,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +6,6,10038,6,1,7,3,30.5,3.7,0.1,69,Y,0.23,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +,,10044,,1,7,1,36,3.7,,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,7,10079,8,2,7,1,38,3.7,0.87,70,Y,0.5,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,6,10131,7,1,4,3,30,3.7,0.34,68,Y,0.04,P,7,P,94,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.78946,f 640-700,f 640-700,0.98314416,3.7 +9,10,10153,9,1,7,3,37,3.7,0.95,69,Y,1.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +7,8,10172,7,2,7,4,41,3.7,0.34,69,Y,0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +1,1,10174,1,1,7,4,30,3.7,-1.81,47,Y,-1.44,F,7,P,95,1,4,-40,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,685.78946,f 640-700,f 640-700,0.98314416,3.7 +1,1,10178,1,1,6,1,42,3.7,-1.81,68,Y,-1.34,P,7,P,94,1,5,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +5,5,10210,5,2,7,5,47,3.7,-0.03,69,Y,-0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +,,10218,,2,7,5,45,3.7,,66,Y,0,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +2,1,10220,2,2,6,1,33,3.7,-1.13,58,Y,-1.45,F,2,F,95,2,3,-56,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +10,10,10227,10,2,7,1,39,3.7,2.04,67,Y,1.65,P,2,P,95,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +,,10252,6,2,7,5,42,3.7,0.14,70,Y,,P,2,P,96,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +9,10,10253,9,2,7,3,35.5,3.7,1.03,68,Y,1.39,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.6315615,g 700+,h 760-820,0.98314416,3.7 +9,8,10272,9,2,7,4,45,3.7,1.17,65,Y,0.77,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +6,6,10273,6,1,7,1,37,3.7,0.2,69,Y,0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,8,10300,8,1,7,4,44,3.7,0.86,62,Y,0.84,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +8,10,10347,8,1,7,1,32,3.7,0.78,69,Y,1.57,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +4,6,10362,5,2,7,4,40,3.7,-0.22,67,Y,0.18,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +9,10,10376,9,1,7,1,41,3.7,1.17,65,Y,1.59,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +1,3,10413,2,1,7,4,40,3.7,-1.22,69,Y,-0.84,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +10,10,10452,10,2,7,4,42,3.7,1.7,57,Y,1.61,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +8,7,10493,8,1,7,1,40.5,3.7,0.83,68,Y,0.32,P,2,P,96,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.5789265,g 700+,i 820+,0.98314416,3.7 +4,4,10510,4,2,7,4,46,3.7,-0.32,69,Y,-0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +5,4,10531,5,1,7,5,44,3.7,-0.03,69,Y,-0.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +5,6,10542,6,1,7,4,42,3.7,0.04,65,Y,0.1,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +5,5,10567,5,2,7,4,43,3.7,-0.1,64,Y,-0.2,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +5,3,10570,5,2,7,1,45,3.7,-0.12,69,Y,-0.61,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +6,6,10587,6,1,7,4,39,3.7,0.16,69,Y,0.04,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +8,8,10600,8,2,7,1,40,3.7,0.85,64,Y,0.64,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +7,7,10624,7,2,7,4,41,3.7,0.42,68,Y,0.53,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +8,8,10626,8,1,7,1,44,3.7,0.65,69,Y,0.77,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +4,5,10647,5,1,7,3,41,3.7,-0.18,69,Y,-0.17,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +9,9,10658,9,1,7,4,48,3.7,1.26,61,Y,0.96,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +10,10,10700,10,1,7,5,48,3.7,1.6,67,Y,1.76,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +9,9,10707,9,1,7,3,33,3.7,1.19,59,Y,1.31,P,2,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +1,4,10766,1,2,7,4,41,3.7,-1.49,68,Y,-0.39,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +4,5,10780,4,2,7,1,36,3.7,-0.42,67,Y,-0.24,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,3,10788,4,2,7,5,44,3.7,-0.37,69,Y,-0.83,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +2,4,10799,2,1,7,2,27.5,3.7,-0.92,45,Y,-0.52,P,7,P,94,1,4,-38,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,646.3157775,f 640-700,f 640-700,0.98314416,3.7 +8,8,10804,8,1,7,3,35,3.7,0.58,69,Y,0.71,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,9,10812,8,1,7,1,39,3.7,0.78,69,Y,1.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +5,5,10814,5,1,7,5,45,3.7,-0.07,69,Y,-0.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +10,9,10843,10,2,7,1,32,3.7,1.53,69,Y,1.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +2,3,10874,2,1,7,4,43,3.7,-0.91,68,Y,-0.54,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +3,5,10891,3,2,7,4,41,3.7,-0.51,68,Y,-0.02,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +4,3,10935,4,1,3,4,32,3.7,-0.38,66,Y,-0.54,P,7,P,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,717.368406,g 700+,g 700-760,0.98314416,3.7 +2,4,10938,2,1,8,4,42,3.7,-0.87,70,Y,-0.38,P,7,P,94,1,3,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +,,10949,,2,7,3,37,3.7,,69,Y,-0.76,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,9,10968,9,2,7,5,43,3.7,1.42,69,Y,1.23,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +5,6,10973,6,1,7,1,36,3.7,0.05,68,Y,0.25,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,9,10980,8,2,7,3,32,3.7,0.55,69,Y,1.2,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +1,2,10997,1,1,7,4,40,3.7,-1.45,69,Y,-1.29,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +7,6,11046,7,1,2,4,42,3.7,0.4,69,Y,0.21,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +3,4,11126,3,2,7,1,35,3.7,-0.64,68,Y,-0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +10,10,11131,10,1,7,4,42,3.7,1.83,67,Y,2.28,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +4,5,11132,4,2,7,2,25,3.7,-0.42,68,Y,-0.19,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,606.842095,e 580-640,e 580-640,0.98314416,3.7 +7,10,11136,7,2,7,4,44,3.7,0.34,65,Y,1.32,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,11142,10,1,7,1,34,3.7,1.63,68,Y,2.01,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +8,7,11160,8,2,7,3,34,3.7,0.6,68,Y,0.49,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +4,3,11170,4,2,7,4,39,3.7,-0.31,66,Y,-0.65,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +3,5,11171,4,2,7,3,31,3.7,-0.49,64,Y,-0.19,P,2,P,95,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +5,4,11176,5,2,7,1,36,3.7,-0.02,69,Y,-0.29,P,1,P,96,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +9,10,11177,9,1,7,4,43,3.7,1,68,Y,1.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +10,10,11182,10,2,7,3,43,3.7,2.11,60,Y,2,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,891.052609,g 700+,i 820+,0.98314416,3.7 +,,11204,,1,7,1,33,3.7,,68,Y,1.72,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +7,9,11207,7,2,7,4,48,3.7,0.36,56,Y,1,P,7,P,94,1,5,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +3,5,11210,3,1,2,4,38,3.7,-0.51,67,Y,-0.16,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,10,11244,9,2,7,1,29,3.7,0.98,68,Y,1.53,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,669.999987,f 640-700,f 640-700,0.98314416,3.7 +3,3,11250,3,1,7,3,33,3.7,-0.68,69,Y,-0.74,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +,,11266,,1,7,5,45,3.7,,67,Y,0,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +4,3,11273,4,2,7,1,38.5,3.7,-0.26,64,Y,-0.57,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,819.9999805,g 700+,h 760-820,0.98314416,3.7 +9,10,11293,9,2,7,5,36.5,3.7,1.38,65,Y,1.73,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,788.4210345,g 700+,h 760-820,0.98314416,3.7 +2,3,11294,3,1,7,3,38,3.7,-0.73,69,Y,-0.73,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,9,11368,7,1,7,1,41,3.7,0.47,49,Y,0.88,P,7,P,94,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +5,6,11381,6,1,7,1,32,3.7,0.05,64,Y,0.12,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +4,6,11409,4,1,7,4,32,3.7,-0.43,56,Y,0.18,P,7,P,94,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.368406,g 700+,g 700-760,0.98314416,3.7 +7,4,11417,7,1,7,1,38,3.7,0.35,68,Y,-0.36,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,9,11430,9,1,7,3,41,3.7,1.1,69,Y,0.98,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +10,9,11462,10,2,7,1,38,3.7,1.36,68,Y,0.88,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,11501,10,2,7,1,42,3.7,1.34,65,Y,1.42,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +9,7,11565,9,2,7,5,40,3.7,1.23,69,Y,0.38,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +6,9,11569,6,1,7,4,41,3.7,0.21,67,Y,0.93,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +9,5,11580,9,2,7,1,34,3.7,0.93,68,Y,-0.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +7,9,11596,7,2,7,5,43,3.7,0.6,70,Y,0.97,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +7,8,11617,7,2,7,1,40,3.7,0.51,69,Y,0.72,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +10,6,11627,10,1,7,4,46,3.7,2.2,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +3,3,11643,3,1,7,1,37,3.7,-0.65,70,Y,-0.61,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,8,11671,9,1,7,1,37,3.7,0.99,69,Y,0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,2,11673,3,1,7,4,39,3.7,-0.75,68,Y,-1.12,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +10,9,11702,10,1,7,3,37,3.7,1.56,66,Y,0.96,P,2,P,95,2,4,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,7,11711,8,1,5,3,31,3.7,0.8,67,Y,0.35,P,2,P,95,1,3,-65,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +3,3,11728,4,1,7,4,40,3.7,-0.49,69,Y,-0.55,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +8,9,11753,8,2,2,5,45,3.7,0.85,68,Y,0.86,P,7,P,94,1,5,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +9,8,11828,9,1,7,5,43,3.7,1,68,Y,0.7,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +,,11850,10,2,7,5,46,3.7,1.83,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +2,3,11852,3,2,7,2,30,3.7,-0.82,69,Y,-0.7,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,685.78946,f 640-700,f 640-700,0.98314416,3.7 +9,9,11869,9,1,7,1,35,3.7,1.02,63,Y,1.14,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +3,4,11877,4,2,7,3,40,3.7,-0.43,69,Y,-0.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +2,3,11889,2,1,7,1,38,3.7,-1.09,68,Y,-0.68,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,3,11895,5,2,7,1,42,3.7,0.01,67,Y,-0.74,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +6,5,11917,6,2,7,1,37,3.7,0.25,69,Y,-0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,6,11921,5,2,7,1,34,3.7,0.02,65,Y,0.17,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +7,8,11964,8,2,7,2,29,3.7,0.54,68,Y,0.84,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,669.999987,f 640-700,f 640-700,0.98314416,3.7 +,,11971,,2,2,5,48,3.7,,67,Y,0,P,7,P,94,1,5,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +3,6,11977,3,1,7,4,40,3.7,-0.6,68,Y,0.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +8,7,11991,8,2,7,2,38,3.7,0.61,69,Y,0.27,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,9,11992,9,2,7,4,42.5,3.7,1.02,67,Y,1.22,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,883.1578725,g 700+,i 820+,0.98314416,3.7 +1,2,12022,1,1,7,1,36,3.7,-1.35,63,Y,-0.94,F,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,9,12030,8,2,7,1,36,3.7,0.78,68,Y,0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,4,12042,7,1,7,5,44,3.7,0.54,69,Y,-0.35,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +6,7,12066,6,2,7,1,39.5,3.7,0.2,67,Y,0.3,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,835.7894535,g 700+,i 820+,0.98314416,3.7 +10,10,12078,10,2,7,1,42,3.7,1.44,59,Y,1.6,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +5,6,12100,5,2,7,5,48,3.7,-0.04,69,Y,0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +10,9,12118,10,1,7,1,40,3.7,1.31,69,Y,1.17,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +9,9,12154,9,1,7,5,48,3.7,1.13,69,Y,0.85,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +1,1,12177,2,2,3,1,27,3.7,-1.17,69,Y,-2.06,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,638.421041,e 580-640,e 580-640,0.98314416,3.7 +2,4,12201,2,1,7,4,45,3.7,-0.84,37,Y,-0.5,P,7,P,94,1,5,-30,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +8,6,12232,8,2,7,5,43,3.7,0.77,68,Y,0.11,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +10,10,12240,10,2,7,3,35,3.7,1.99,69,Y,1.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +1,2,12252,1,1,7,1,28,3.7,-1.28,57,Y,-1.02,F,6,P,95,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,654.210514,f 640-700,f 640-700,0.98314416,3.7 +5,7,12267,5,2,7,5,42,3.7,0.06,68,Y,0.51,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +,,12322,,1,7,5,46,3.7,,67,Y,0,P,2,P,95,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +2,4,12327,2,1,7,1,40,3.7,-0.88,62,Y,-0.51,P,6,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +2,2,12344,2,1,7,5,42,3.7,-1.06,69,Y,-1.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +3,3,12348,3,2,7,4,44,3.7,-0.63,67,Y,-0.83,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +2,4,12368,3,2,7,1,38,3.7,-0.81,65,Y,-0.28,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,5,12384,4,2,7,1,27,3.7,-0.42,68,Y,-0.22,P,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,638.421041,e 580-640,e 580-640,0.98314416,3.7 +8,6,12385,8,2,7,1,40,3.7,0.76,67,Y,0.19,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +,,12393,,1,7,1,31,3.7,,46,Y,-0.47,F,7,F,95,1,1,-39,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,701.578933,g 700+,g 700-760,0.98314416,3.7 +1,5,12476,1,2,7,5,41,3.7,-1.54,68,Y,-0.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +,,12546,,1,7,2,42,3.7,,60,Y,,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,12548,9,1,7,3,34.5,3.7,1.16,64,Y,0.94,P,2,P,95,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.8420885,g 700+,g 700-760,0.98314416,3.7 +,,12558,,1,7,6,35,3.7,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,764.736825,g 700+,h 760-820,0.98314416,3.7 +9,8,12560,9,2,7,1,36,3.7,0.92,68,Y,0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +9,10,12568,9,1,7,4,38,3.7,1.26,69,Y,1.36,P,2,P,95,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,5,12599,8,1,7,3,34,3.7,0.62,69,Y,-0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +2,4,12616,2,2,7,5,43,3.7,-0.92,69,Y,-0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +8,8,12620,8,1,7,5,42,3.7,0.82,69,Y,0.79,P,2,P,94,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +8,8,12670,8,1,7,4,34,3.7,0.8,61,Y,0.6,P,7,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,748.947352,g 700+,g 700-760,0.98314416,3.7 +9,8,12678,9,2,7,1,41,3.7,1.01,68,Y,0.62,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +8,9,12688,8,1,7,6,40,3.7,0.68,58,Y,1.17,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,843.68419,g 700+,i 820+,0.98314416,3.7 +3,6,12708,4,2,7,3,35,3.7,-0.48,69,Y,0.1,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +3,5,12714,3,2,7,1,38,3.7,-0.64,63,Y,-0.02,P,2,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +1,1,12724,1,2,7,2,27,3.7,-1.72,70,Y,-1.54,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.421041,e 580-640,e 580-640,0.98314416,3.7 +5,6,12733,5,1,7,2,27,3.7,-0.1,63,Y,0.01,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.421041,e 580-640,e 580-640,0.98314416,3.7 +3,3,12734,4,1,7,3,34,3.7,-0.45,67,Y,-0.73,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +2,1,12737,2,2,7,4,40,3.7,-1.05,64,Y,-1.46,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +7,6,12752,7,2,7,1,37,3.7,0.41,69,Y,0.05,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,12753,9,2,7,5,46,3.7,1.4,65,Y,,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +8,8,12766,8,2,7,5,46,3.7,0.7,64,Y,0.76,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +2,3,12774,2,2,7,3,34,3.7,-0.85,69,Y,-0.86,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +,,12800,4,1,7,1,30,3.7,-0.23,69,X,,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,685.78946,f 640-700,f 640-700,0.98314416,3.7 +8,5,12804,8,2,7,4,41,3.7,0.75,63,Y,-0.2,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +2,4,12813,3,1,7,3,37,3.7,-0.75,45,Y,-0.38,P,7,P,94,1,4,-38,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,12817,10,2,8,5,42.5,3.7,2.34,68,Y,1.78,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,883.1578725,g 700+,i 820+,0.98314416,3.7 +7,5,12831,7,2,7,4,41,3.7,0.46,61,Y,0.02,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +8,9,12851,8,2,7,5,44,3.7,0.77,65,Y,1.14,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,12852,10,2,7,1,46,3.7,1.44,68,Y,1.53,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,938.421028,g 700+,i 820+,0.98314416,3.7 +3,4,12880,3,1,7,4,44,3.7,-0.63,69,Y,-0.43,P,2,P,96,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +2,1,12882,3,1,7,1,39,3.7,-0.77,69,Y,-1.64,P,2,P,96,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +5,4,12887,5,2,7,5,46,3.7,-0.16,69,Y,-0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +2,3,12934,2,2,7,1,34,3.7,-0.96,69,Y,-0.87,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +5,4,12941,5,1,7,5,46,3.7,0.06,67,Y,-0.37,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +2,5,12945,2,2,6,4,43,3.7,-1.13,64,Y,-0.09,P,7,P,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +3,2,12949,3,1,7,1,34,3.7,-0.58,66,Y,-1.07,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +10,10,12980,10,1,7,3,37,3.7,1.94,70,Y,2.12,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,12985,10,2,7,1,48,3.7,2.02,65,Y,1.82,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,969.999974,g 700+,i 820+,0.98314416,3.7 +3,4,12990,3,1,7,5,45,3.7,-0.71,69,Y,-0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +8,8,12992,8,1,7,4,44,3.7,0.61,69,Y,0.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +2,3,13000,3,2,7,3,31,3.7,-0.73,69,Y,-0.68,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +7,7,13011,7,2,7,5,45,3.7,0.42,68,Y,0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +5,6,13049,5,2,7,5,45,3.7,-0.09,68,Y,0.05,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +1,3,13068,2,2,7,3,26.3,3.7,-1.14,68,Y,-0.77,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,627.3684099,e 580-640,e 580-640,0.98314416,3.7 +10,10,13112,10,2,7,3,32,3.7,1.44,69,Y,1.86,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +6,5,13113,6,2,7,3,38,3.7,0.17,69,Y,-0.11,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,8,13127,8,2,7,1,40,3.7,0.6,66,Y,0.76,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +6,6,13177,6,1,7,1,42,3.7,0.18,68,Y,0.24,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,13197,9,1,7,5,40,3.7,1.04,68,Y,0.86,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +5,6,13204,5,1,7,5,40,3.7,-0.16,69,Y,0.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +4,5,13250,4,1,7,3,36,3.7,-0.33,46,Y,-0.05,P,7,P,95,2,2,-39,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +2,5,13266,2,2,7,4,35,3.7,-0.85,67,Y,-0.12,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,764.736825,g 700+,h 760-820,0.98314416,3.7 +3,3,13280,4,1,7,4,36,3.7,-0.5,65,Y,-0.64,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,6,13283,7,1,7,1,32,3.7,0.38,69,Y,0.26,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +6,6,13290,6,1,7,3,33,3.7,0.1,68,Y,0.1,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +6,6,13294,6,2,7,1,35,3.7,0.17,69,Y,0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +3,4,13298,3,2,7,1,28,3.7,-0.66,69,Y,-0.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,654.210514,f 640-700,f 640-700,0.98314416,3.7 +4,5,13319,4,1,7,1,41,3.7,-0.24,69,Y,-0.13,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +2,2,13333,2,1,7,3,40,3.7,-0.89,66,Y,-1.08,P,2,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +7,7,13340,7,1,7,4,40,3.7,0.44,65,Y,0.49,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +1,1,13366,1,2,7,4,42,3.7,-2.56,69,Y,-2.11,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +,,13369,,2,7,1,35,3.7,,68,Y,,P,2,P,96,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,8,13384,8,1,7,1,37,3.7,0.63,69,Y,0.62,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +2,3,13391,2,1,7,4,32,3.7,-0.85,69,Y,-0.79,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,717.368406,g 700+,g 700-760,0.98314416,3.7 +6,7,13418,7,1,7,5,43,3.7,0.35,69,Y,0.35,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +3,2,13440,3,2,7,1,39,3.7,-0.67,65,Y,-1.22,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +5,6,13494,6,2,8,4,44,3.7,0.03,69,Y,0.1,P,7,P,94,1,2,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +8,8,13502,8,1,7,2,27,3.7,0.75,69,Y,0.79,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.421041,e 580-640,e 580-640,0.98314416,3.7 +1,1,13507,1,2,7,1,36,3.7,-1.78,58,Y,-1.53,F,7,P,95,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,13511,10,2,7,5,46,3.7,2.64,68,Y,2.52,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +5,9,13514,5,1,7,4,44,3.7,-0.14,65,Y,1.03,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +5,7,13520,5,1,7,4,48,3.7,-0.15,67,Y,0.39,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +5,4,13523,6,1,7,2,30,3.7,0,65,Y,-0.36,P,2,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,685.78946,f 640-700,f 640-700,0.98314416,3.7 +8,9,13539,8,2,7,3,39,3.7,0.74,54,Y,1.22,P,7,P,95,2,4,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +9,9,13608,9,2,7,4,44,3.7,1.15,69,Y,0.94,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,13648,10,2,7,2,29,3.7,1.62,67,Y,2.26,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,669.999987,f 640-700,f 640-700,0.98314416,3.7 +4,2,13693,4,2,7,3,34,3.7,-0.37,59,Y,-0.95,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +10,10,13697,10,1,7,3,38,3.7,1.86,69,Y,2.1,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,13749,10,2,7,1,47,3.7,2.37,68,Y,2.29,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,954.210501,g 700+,i 820+,0.98314416,3.7 +1,1,13760,1,1,2,4,42,3.7,-2.36,69,Y,-2.62,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +6,6,13765,6,2,7,4,47,3.7,0.19,65,Y,0.17,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +7,5,13771,7,2,7,4,38,3.7,0.4,66,Y,-0.05,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +,,13776,,1,7,5,39,3.7,,67,Y,,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +9,9,13780,9,2,7,4,43,3.7,0.95,68,Y,1.2,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +8,9,13805,8,2,7,3,36,3.7,0.82,63,Y,0.97,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,7,13807,7,1,7,3,32,3.7,0.37,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +7,6,13826,7,2,7,3,36,3.7,0.36,68,Y,0.14,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,13883,10,1,7,6,40,3.7,1.77,63,Y,1.43,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,843.68419,g 700+,i 820+,0.98314416,3.7 +7,7,13959,7,1,7,5,43,3.7,0.55,69,Y,0.3,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +9,10,13968,9,2,7,5,47,3.7,1.44,69,Y,1.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +2,1,13969,2,1,7,4,42,3.7,-1.1,69,Y,-1.43,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +6,5,13979,6,1,7,3,37,3.7,0.16,69,Y,-0.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +1,3,14000,1,1,7,4,41,3.7,-1.33,69,Y,-0.57,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +4,4,14003,4,1,7,3,30.5,3.7,-0.39,68,Y,-0.31,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +10,9,14004,10,1,7,3,39,3.7,1.74,69,Y,1.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +,,14017,2,2,2,5,46,3.7,-1.06,69,Y,,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +4,3,14030,4,1,7,1,38,3.7,-0.28,69,Y,-0.59,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,8,14185,9,2,2,4,45,3.7,0.89,69,Y,0.62,P,7,P,94,1,1,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +5,4,14197,5,1,7,5,41,3.7,-0.05,69,Y,-0.38,P,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +4,2,14202,5,1,7,2,38,3.7,-0.23,67,Y,-1.01,F,2,F,96,2,3,-65,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,812.105244,g 700+,h 760-820,0.98314416,3.7 +6,3,14216,6,2,7,1,40,3.7,0.14,70,Y,-0.61,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +8,7,14230,8,2,7,4,34.5,3.7,0.67,68,Y,0.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,756.8420885,g 700+,g 700-760,0.98314416,3.7 +4,3,14231,4,2,7,1,36,3.7,-0.34,61,Y,-0.66,P,2,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,14253,10,1,2,2,45,3.7,1.96,69,Y,2.5,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,922.631555,g 700+,i 820+,0.98314416,3.7 +2,2,14260,3,2,7,1,36,3.7,-0.79,69,Y,-1.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,7,14271,8,2,7,3,33,3.7,0.67,61,Y,0.5,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +9,9,14285,9,1,7,1,41,3.7,1.21,68,Y,0.98,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +4,4,14288,4,1,7,4,42,3.7,-0.27,70,Y,-0.26,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +3,6,14302,3,1,7,5,46,3.7,-0.58,67,Y,0.06,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +10,5,14308,10,2,7,5,37,3.7,2.17,69,Y,-0.17,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,6,14342,5,2,7,3,40,3.7,-0.12,69,Y,0.17,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +6,7,14374,6,2,7,5,44,3.7,0.16,69,Y,0.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +9,10,14401,9,1,7,4,42,3.7,1.14,69,Y,1.29,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +10,10,14447,10,1,7,1,39,3.7,1.31,63,Y,1.56,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +8,9,14464,8,1,7,2,26,3.7,0.8,69,Y,0.88,P,2,P,95,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,622.631568,e 580-640,e 580-640,0.98314416,3.7 +10,10,14474,10,2,7,4,42,3.7,1.92,68,Y,1.71,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +7,6,14494,7,1,7,1,40,3.7,0.42,68,Y,0.13,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +,,14496,,2,7,5,48,3.7,,58,Y,0,P,2,P,96,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +6,8,14535,6,1,7,5,40,3.7,0.15,68,Y,0.72,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +,,14546,,2,7,1,37,3.7,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,4,14551,3,1,7,4,35,3.7,-0.74,67,Y,-0.27,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,764.736825,g 700+,h 760-820,0.98314416,3.7 +4,4,14580,5,1,8,6,32,3.7,-0.08,69,Y,-0.33,P,7,P,94,1,2,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,1,717.368406,g 700+,g 700-760,0.98314416,3.7 +8,8,14608,8,2,7,4,43,3.7,0.8,67,Y,0.71,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +10,10,14634,10,1,7,3,41,3.7,2.1,69,Y,2.43,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +9,10,14638,9,2,7,4,44,3.7,1.21,64,Y,1.34,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +6,8,14639,6,2,7,1,35,3.7,0.12,69,Y,0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +4,5,14651,4,1,2,4,42,3.7,-0.38,69,Y,-0.22,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +6,5,14653,6,1,7,5,47,3.7,0.1,68,Y,-0.07,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +3,2,14696,3,2,7,3,28.5,3.7,-0.6,69,Y,-0.89,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,662.1052505,f 640-700,f 640-700,0.98314416,3.7 +,,14707,,1,7,4,41,3.7,,60,Y,,P,7,P,95,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +8,6,14715,8,2,7,1,47,3.7,0.64,66,Y,0.19,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,954.210501,g 700+,i 820+,0.98314416,3.7 +,,14729,5,1,7,5,45,3.7,-0.18,63,Y,,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +2,4,14730,3,2,7,1,38,3.7,-0.8,68,Y,-0.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,6,14737,8,2,2,3,36,3.7,0.64,68,Y,0.08,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,6,14750,5,1,7,2,32,3.7,-0.14,59,Y,-0.04,P,2,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,717.368406,g 700+,g 700-760,0.98314416,3.7 +,,14761,9,2,7,5,39,3.7,1.17,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +1,4,14777,1,1,7,1,38,3.7,-1.6,62,Y,-0.26,P,2,P,95,2,2,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +2,2,14779,2,1,7,5,46,3.7,-0.98,69,Y,-0.91,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +8,10,14780,8,2,7,1,40.5,3.7,0.8,61,Y,1.42,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,851.5789265,g 700+,i 820+,0.98314416,3.7 +5,9,14783,5,2,7,5,46,3.7,-0.03,69,Y,0.92,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +4,4,14785,4,1,7,4,36,3.7,-0.32,70,Y,-0.45,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,4,14798,4,2,7,4,45,3.7,-0.39,67,Y,-0.47,P,7,P,95,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +4,4,14813,5,2,7,3,36,3.7,-0.24,67,Y,-0.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,6,14819,5,2,7,4,40.5,3.7,0.01,68,Y,0.25,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,851.5789265,g 700+,i 820+,0.98314416,3.7 +,,14864,,1,7,5,37,3.7,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,796.315771,g 700+,h 760-820,0.98314416,3.7 +4,5,14890,4,1,7,2,30.5,3.7,-0.33,67,Y,-0.3,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +7,7,14891,7,2,7,4,41,3.7,0.47,70,Y,0.53,P,2,P,95,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +5,7,14901,6,2,7,5,41,3.7,0.06,69,Y,0.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +,,14916,,2,7,1,38,3.7,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,10,14921,5,1,7,4,38,3.7,-0.07,69,Y,2.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +1,1,14930,1,2,3,4,32.5,3.7,-1.26,69,Y,-1.52,F,2,F,95,1,3,-67,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,725.2631425,g 700+,g 700-760,0.98314416,3.7 +10,10,14945,10,1,7,4,38,3.7,1.93,70,Y,1.51,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +2,3,14962,2,1,6,5,42,3.7,-0.96,69,Y,-0.73,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +1,1,14972,1,1,7,5,40,3.7,-1.62,67,Y,-1.79,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +7,8,15005,7,1,7,5,42,3.7,0.48,69,Y,0.63,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +2,2,15049,2,1,7,4,46,3.7,-1.08,69,Y,-0.99,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +9,10,15088,9,1,3,6,31,3.7,1.04,69,Y,1.64,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,701.578933,g 700+,g 700-760,0.98314416,3.7 +,,15140,5,1,7,5,39,3.7,0.06,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +4,6,15157,5,2,7,1,42,3.7,-0.17,66,Y,0.07,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,15182,9,1,7,3,32.5,3.7,0.91,69,Y,0.95,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,725.2631425,g 700+,g 700-760,0.98314416,3.7 +9,9,15185,9,1,5,1,34,3.7,0.98,64,Y,0.95,P,7,P,95,2,4,-57,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +4,5,15189,4,2,7,4,42,3.7,-0.45,69,Y,-0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +7,7,15212,7,1,7,5,41,3.7,0.46,67,Y,0.32,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +6,6,15230,6,2,7,1,42,3.7,0.29,68,Y,0.2,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +7,7,15231,7,2,2,1,39,3.7,0.49,65,Y,0.36,P,7,P,94,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +10,9,15239,10,1,7,3,32,3.7,1.76,69,Y,1.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +10,10,15270,10,2,7,1,33,3.7,1.72,68,Y,1.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +4,6,15272,4,2,7,1,34,3.7,-0.34,66,Y,0.28,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +9,9,15275,10,2,7,2,30,3.7,1.23,67,Y,0.93,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,685.78946,f 640-700,f 640-700,0.98314416,3.7 +1,1,15282,1,2,7,5,37,3.7,-1.35,69,Y,-1.91,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,796.315771,g 700+,h 760-820,0.98314416,3.7 +7,6,15286,7,2,7,1,42,3.7,0.44,63,Y,0.01,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +10,10,15337,10,2,7,1,45,3.7,1.67,69,Y,1.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +10,10,15343,10,2,7,4,41,3.7,1.33,64,Y,1.52,P,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +2,2,15355,3,2,7,4,40,3.7,-0.8,70,Y,-1.14,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +10,10,15358,10,2,7,3,36,3.7,1.58,66,Y,1.52,P,2,P,95,2,3,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +2,2,15371,2,1,7,2,25,3.7,-1.02,69,Y,-1.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,606.842095,e 580-640,e 580-640,0.98314416,3.7 +9,9,15428,9,2,7,1,46,3.7,1.12,69,Y,0.95,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,938.421028,g 700+,i 820+,0.98314416,3.7 +,,15433,4,1,7,5,41,3.7,-0.37,70,Y,,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +,,15440,,1,7,1,39,3.7,,52,Y,,F,7,F,94,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +7,7,15449,7,2,7,3,42,3.7,0.46,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,875.263136,g 700+,i 820+,0.98314416,3.7 +4,5,15493,4,2,7,2,30,3.7,-0.42,69,Y,-0.32,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,685.78946,f 640-700,f 640-700,0.98314416,3.7 +10,8,15501,10,1,7,3,40,3.7,1.75,68,Y,0.86,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +6,4,15539,6,2,7,1,39,3.7,0.13,69,Y,-0.3,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +3,3,15551,4,1,7,4,44,3.7,-0.5,69,Y,-0.56,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +2,3,15561,2,2,7,5,46,3.7,-1.03,68,Y,-0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +10,10,15594,10,2,7,1,48,3.7,1.84,66,Y,2.34,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,969.999974,g 700+,i 820+,0.98314416,3.7 +7,7,15599,7,1,7,1,30,3.7,0.36,48,Y,0.33,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,685.78946,f 640-700,f 640-700,0.98314416,3.7 +9,8,15601,9,1,7,1,41,3.7,0.9,69,Y,0.58,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +8,9,15610,8,1,7,1,39,3.7,0.74,64,Y,0.92,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +10,9,15648,10,2,7,1,45,3.7,1.8,66,Y,1.19,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +1,2,15649,1,1,7,4,33,3.7,-1.86,69,Y,-0.95,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +8,9,15696,8,1,7,5,42,3.7,0.86,68,Y,1.03,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,15697,9,2,7,2,33,3.7,1.2,69,Y,1.02,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.157879,g 700+,g 700-760,0.98314416,3.7 +9,10,15714,9,1,7,1,31,3.7,1.12,69,Y,1.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.578933,g 700+,g 700-760,0.98314416,3.7 +6,6,15740,6,1,7,5,46,3.7,0.24,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +10,10,15746,10,1,7,3,47,3.7,1.64,49,Y,1.48,P,7,P,95,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,954.210501,g 700+,i 820+,0.98314416,3.7 +8,9,15755,9,2,7,1,36,3.7,0.89,69,Y,1.15,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +9,9,15776,9,1,7,1,36,3.7,1.1,67,Y,1.17,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,15781,10,1,7,3,44,3.7,2.12,66,Y,2.43,P,2,P,95,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,906.842082,g 700+,i 820+,0.98314416,3.7 +,,15829,,2,2,1,34,3.7,,69,Y,,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +10,9,15834,10,1,7,3,46,3.7,1.58,69,Y,1.11,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,938.421028,g 700+,i 820+,0.98314416,3.7 +1,2,15851,1,2,7,4,42,3.7,-1.6,69,Y,-1.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +8,9,15858,9,2,7,1,42,3.7,0.89,66,Y,0.88,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +5,5,15880,5,2,7,4,43,3.7,-0.2,69,Y,-0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +1,1,15883,2,1,7,1,36,3.7,-1.18,38,Y,-1.93,F,7,F,95,1,2,-31,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,6,15885,6,1,7,1,40,3.7,0.29,68,Y,0.02,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +4,4,15929,4,2,8,4,37,3.7,-0.26,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,15984,10,1,7,3,38,3.7,1.69,69,Y,1.65,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,15998,10,2,7,3,31,3.7,2.45,69,Y,2.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +6,7,16001,6,2,7,4,32.5,3.7,0.23,69,Y,0.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,725.2631425,g 700+,g 700-760,0.98314416,3.7 +4,3,16005,4,2,7,1,39,3.7,-0.39,69,Y,-0.67,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +6,6,16015,7,1,7,4,45,3.7,0.27,69,Y,0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +7,9,16021,7,2,7,4,43,3.7,0.48,68,Y,1.05,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +10,9,16029,10,1,6,3,35,3.7,1.4,69,Y,1.15,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,8,16038,8,1,7,1,42,3.7,0.86,68,Y,0.65,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +5,6,16059,5,2,7,4,30.5,3.7,-0.01,62,Y,0.07,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +7,9,16061,7,1,7,1,41,3.7,0.57,69,Y,1.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +7,7,16064,7,2,7,1,42,3.7,0.46,68,Y,0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +7,6,16076,7,2,7,1,36,3.7,0.43,69,Y,0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,7,16081,7,1,7,1,42,3.7,0.42,67,Y,0.3,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +4,4,16082,5,2,7,5,41,3.7,-0.21,67,Y,-0.23,P,2,P,95,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +2,2,16114,2,1,2,5,30.5,3.7,-0.91,67,Y,-1.05,F,7,P,96,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +9,10,16128,9,1,7,4,37,3.7,1.04,49,Y,1.79,P,7,P,94,1,5,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +2,1,16140,2,2,7,1,41,3.7,-1,69,Y,-2.03,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +9,10,16162,9,1,7,4,32,3.7,1.25,55,Y,1.43,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.368406,g 700+,g 700-760,0.98314416,3.7 +10,10,16165,10,1,7,3,37,3.7,1.4,69,Y,1.44,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,8,16169,6,2,7,4,43,3.7,0.21,69,Y,0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +2,3,16175,2,2,7,3,40,3.7,-1.06,54,Y,-0.82,P,7,P,95,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +7,5,16187,7,1,7,3,40,3.7,0.39,69,Y,-0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +8,6,16197,8,1,7,4,47,3.7,0.8,68,Y,0.24,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +10,10,16215,10,1,7,3,38,3.7,1.66,69,Y,1.82,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,7,16233,8,1,7,3,33.5,3.7,0.71,68,Y,0.48,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,741.0526155,g 700+,g 700-760,0.98314416,3.7 +7,8,16247,7,1,7,5,38,3.7,0.52,58,Y,0.78,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,7,16261,6,1,7,1,39,3.7,0.09,64,Y,0.38,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +9,7,16273,9,1,7,4,34,3.7,1.02,58,Y,0.52,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,748.947352,g 700+,g 700-760,0.98314416,3.7 +1,2,16288,1,2,8,4,36,3.7,-1.67,66,Y,-1.23,F,7,F,94,1,3,-59,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,16305,10,2,7,5,48,3.7,2.18,64,Y,2.01,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +6,7,16313,7,1,7,1,44,3.7,0.32,70,Y,0.52,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +4,6,16347,5,2,2,1,42,3.7,-0.19,69,Y,0.04,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +5,4,16381,5,2,7,4,29.5,3.7,-0.01,64,Y,-0.25,P,2,P,96,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,677.8947235,f 640-700,f 640-700,0.98314416,3.7 +,,16401,,1,7,5,48,3.7,,67,Y,0,P,7,P,94,1,1,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +9,8,16413,9,2,7,4,39,3.7,1.09,68,Y,0.61,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +1,2,16428,1,2,7,4,48,3.7,-1.36,62,Y,-1.18,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +5,4,16437,5,2,7,5,47,3.7,-0.08,69,Y,-0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +5,7,16438,5,2,7,4,43,3.7,0,69,Y,0.51,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +1,1,16497,1,2,3,1,28,3.7,-2.35,69,Y,-1.95,F,7,P,95,1,1,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,654.210514,f 640-700,f 640-700,0.98314416,3.7 +6,8,16526,6,1,7,4,43,3.7,0.08,68,Y,0.75,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +2,2,16563,2,1,6,1,36,3.7,-0.88,67,Y,-0.88,P,7,P,95,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,16569,10,1,7,5,48,3.7,2.42,60,Y,2.16,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +10,10,16573,10,1,6,2,38,3.7,1.27,69,Y,1.66,P,2,P,95,1,2,-67,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,16590,10,2,7,4,46,3.7,1.37,59,Y,1.37,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +7,8,16607,8,1,7,1,36,3.7,0.59,69,Y,0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +1,1,16630,1,2,7,1,45,3.7,-1.29,69,Y,-1.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +9,10,16632,9,1,7,3,41,3.7,1.17,69,Y,1.42,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +4,5,16646,4,1,2,4,41,3.7,-0.35,68,Y,-0.12,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +2,4,16651,2,2,7,1,41,3.7,-1.14,69,Y,-0.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +10,10,16680,10,2,7,1,37,3.7,1.35,69,Y,1.34,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,8,16682,10,1,7,3,40,3.7,1.45,68,Y,0.73,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +2,3,16726,3,2,7,3,38,3.7,-0.73,69,Y,-0.78,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +,,16738,,1,7,5,34,3.7,,68,Y,,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,748.947352,g 700+,g 700-760,0.98314416,3.7 +1,1,16745,1,2,7,1,36,3.7,-1.76,47,Y,-1.59,P,7,P,94,1,3,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,6,16765,7,2,7,4,44,3.7,0.35,69,Y,0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,16793,10,2,7,5,43,3.7,1.6,69,Y,1.55,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +,,16875,,1,7,2,34,3.7,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,748.947352,g 700+,g 700-760,0.98314416,3.7 +3,2,16883,3,1,7,4,39,3.7,-0.71,62,Y,-0.95,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +10,9,16915,10,1,7,4,48,3.7,1.47,67,Y,1.19,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +5,7,16946,5,1,7,5,42,3.7,-0.03,65,Y,0.45,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +5,4,17030,5,2,7,5,40,3.7,0.02,68,Y,-0.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +,,17049,4,1,7,3,34.5,3.7,-0.43,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,756.8420885,g 700+,g 700-760,0.98314416,3.7 +6,5,17067,7,2,7,4,44,3.7,0.27,69,Y,0.02,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +7,8,17139,8,1,7,1,32,3.7,0.61,68,Y,0.66,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +10,9,17145,10,1,7,2,42,3.7,1.82,68,Y,1.22,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,875.263136,g 700+,i 820+,0.98314416,3.7 +10,10,17165,10,1,7,1,39,3.7,2.08,66,Y,1.85,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +7,10,17176,7,1,2,3,33,3.7,0.48,69,Y,1.31,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +10,10,17186,10,2,7,3,40,3.7,1.41,69,Y,1.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +4,7,17190,4,2,7,1,32,3.7,-0.31,69,Y,0.47,P,7,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +10,10,17191,10,1,7,1,39,3.7,2.18,58,Y,1.89,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +3,3,17207,3,1,7,1,44,3.7,-0.67,68,Y,-0.55,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +9,8,17213,9,1,7,3,33,3.7,1.12,69,Y,0.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +10,10,17219,10,2,7,1,40,3.7,1.31,69,Y,1.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +3,2,17225,3,1,7,1,34,3.7,-0.66,70,Y,-1.19,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +3,3,17236,3,1,7,4,45,3.7,-0.75,69,Y,-0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +3,2,17238,3,1,6,3,31.3,3.7,-0.68,64,Y,-1.16,P,7,P,95,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,706.3157749,g 700+,g 700-760,0.98314416,3.7 +3,4,17252,4,1,7,5,42,3.7,-0.5,69,Y,-0.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +5,6,17278,5,1,7,1,36,3.7,-0.15,70,Y,0.23,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +9,10,17281,9,2,7,1,46,3.7,1.23,67,Y,1.43,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,938.421028,g 700+,i 820+,0.98314416,3.7 +5,4,17286,5,2,7,4,45,3.7,-0.19,67,Y,-0.4,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +3,5,17291,4,1,2,1,42,3.7,-0.48,68,Y,-0.15,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +,,17305,5,2,7,5,43,3.7,0.06,70,Y,,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +9,8,17323,9,2,7,1,34,3.7,0.95,69,Y,0.67,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +4,7,17356,4,2,7,5,48,3.7,-0.33,69,Y,0.3,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +3,6,17422,3,2,7,4,46,3.7,-0.63,67,Y,0.17,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +5,6,17443,6,1,7,3,30.7,3.7,0.03,69,Y,0.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420911,f 640-700,f 640-700,0.98314416,3.7 +8,10,17450,8,2,7,1,42,3.7,0.85,69,Y,1.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +8,8,17455,8,2,7,1,35,3.7,0.75,68,Y,0.63,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,7,17490,8,2,7,1,34,3.7,0.61,69,Y,0.56,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +,,17501,,1,7,5,48,3.7,,63,Y,0,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +9,9,17510,9,1,2,4,45,3.7,0.89,69,Y,0.92,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +6,6,17528,6,2,7,1,41,3.7,0.13,56,Y,0.16,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +9,9,17570,9,2,7,4,44,3.7,1.15,69,Y,0.98,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +4,5,17582,4,1,7,5,45,3.7,-0.43,67,Y,-0.09,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +1,2,17585,1,1,7,1,40,3.7,-1.46,64,Y,-1.29,P,2,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +7,7,17618,7,2,7,5,47,3.7,0.56,66,Y,0.47,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +4,6,17631,4,1,7,4,45,3.7,-0.37,69,Y,0.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +9,9,17658,9,2,7,4,48,3.7,0.89,69,Y,1.06,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +7,7,17659,7,2,7,3,34,3.7,0.43,64,Y,0.43,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +,,17679,2,2,6,5,44,3.7,-0.94,69,Y,,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +8,7,17736,8,2,7,4,35,3.7,0.6,69,Y,0.35,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,764.736825,g 700+,h 760-820,0.98314416,3.7 +10,9,17747,10,2,7,1,45,3.7,1.42,61,Y,1.13,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +10,10,17748,10,2,7,1,38,3.7,1.69,64,Y,1.7,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +2,3,17751,2,2,7,1,42,3.7,-1.05,66,Y,-0.57,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +5,8,17755,5,1,7,3,36,3.7,-0.13,69,Y,0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,3,17764,4,1,7,1,33,3.7,-0.33,69,Y,-0.54,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +9,9,17792,9,1,2,4,42,3.7,1.22,69,Y,1.21,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +3,3,17810,3,1,7,5,41,3.7,-0.66,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +8,6,17816,8,1,7,3,38,3.7,0.68,54,Y,0.25,P,7,P,95,2,4,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +,,17824,4,2,7,5,45,3.7,-0.22,68,Y,,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +9,9,17826,9,1,7,1,39,3.7,1.11,68,Y,1.08,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +6,6,17836,7,1,4,4,40,3.7,0.27,65,Y,0.2,P,7,P,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +9,10,17839,9,2,7,4,46,3.7,1.12,67,Y,1.53,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +7,8,17845,7,1,7,3,37,3.7,0.51,69,Y,0.75,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +1,5,17872,2,2,7,5,44,3.7,-1.21,69,Y,-0.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +6,6,17884,6,2,2,5,44,3.7,0.15,64,Y,0.21,P,7,P,94,1,4,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +7,6,17897,7,1,7,5,36,3.7,0.43,67,Y,0.24,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,780.526298,g 700+,h 760-820,0.98314416,3.7 +,,17932,,1,7,1,44,3.7,,53,Y,0.22,P,2,P,95,2,3,-51,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +6,4,17952,7,1,3,6,17,3.7,0.28,67,Y,-0.4,F,7,F,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,480.526311,c 460-520,c 460-520,0.98314416,3.7 +9,7,17966,9,1,7,1,37,3.7,1.06,63,Y,0.55,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,17968,,1,7,1,37,3.7,,57,Y,,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,10,17985,9,1,7,4,42,3.7,1.26,68,Y,1.61,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +7,9,18059,7,1,7,5,48,3.7,0.54,68,Y,1.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +1,1,18067,1,1,3,3,22,3.7,-1.99,54,Y,-1.54,F,7,F,94,1,1,-47,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,559.473676,d 520-580,d 520-580,0.98314416,3.7 +10,10,18078,10,2,7,4,47,3.7,1.94,68,Y,1.79,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +4,4,18087,4,1,7,5,42,3.7,-0.39,70,Y,-0.28,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +6,7,18104,6,2,7,5,39,3.7,0.33,63,Y,0.35,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +10,9,18120,10,1,7,3,39,3.7,1.42,61,Y,1.28,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +7,6,18126,7,1,7,1,42,3.7,0.54,71,Y,0.13,P,7,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +7,7,18127,7,2,7,1,42,3.7,0.38,68,Y,0.32,P,2,P,94,,3,-66,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +4,4,18129,4,2,7,5,45,3.7,-0.43,69,Y,-0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +9,10,18183,9,2,7,5,37,3.7,1.05,62,Y,1.8,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,18285,10,1,7,6,33,3.7,1.83,50,Y,1.64,P,2,P,96,2,4,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,733.157879,g 700+,g 700-760,0.98314416,3.7 +4,4,18310,4,2,7,3,31,3.7,-0.36,69,Y,-0.32,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +8,9,18327,9,1,7,1,40,3.7,0.88,69,Y,1.15,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +3,6,18354,4,1,7,1,37,3.7,-0.5,69,Y,0.17,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,18357,,1,7,1,36,3.7,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,6,18370,6,1,7,4,41,3.7,0.19,56,Y,0.21,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +2,2,18375,2,1,7,4,42,3.7,-0.97,67,Y,-0.98,P,2,P,95,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +9,8,18396,9,2,7,4,47,3.7,1.22,56,Y,0.65,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +8,8,18421,8,1,7,3,35,3.7,0.72,69,Y,0.78,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,9,18453,7,2,7,3,35.5,3.7,0.45,69,Y,1.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,772.6315615,g 700+,h 760-820,0.98314416,3.7 +4,5,18454,4,1,7,4,41,3.7,-0.35,68,Y,-0.23,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +8,8,18464,8,2,7,4,41,3.7,0.72,68,Y,0.54,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +8,9,18546,8,2,7,1,47,3.7,0.81,67,Y,0.97,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,954.210501,g 700+,i 820+,0.98314416,3.7 +7,6,18562,7,2,7,4,32,3.7,0.46,65,Y,0.25,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.368406,g 700+,g 700-760,0.98314416,3.7 +8,9,18565,8,1,2,5,45,3.7,0.82,69,Y,1,P,2,P,95,1,4,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +5,7,18601,6,2,7,1,40,3.7,0.08,64,Y,0.43,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +10,10,18626,10,1,7,3,33,3.7,2.06,69,Y,2.17,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +9,8,18642,9,2,7,5,46,3.7,1.05,69,Y,0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +8,10,18661,8,1,7,4,44,3.7,0.82,66,Y,1.39,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +3,3,18697,3,2,7,1,37,3.7,-0.54,63,Y,-0.68,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,7,18700,8,2,7,1,44,3.7,0.81,69,Y,0.52,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +2,3,18703,2,2,7,1,38,3.7,-1.06,68,Y,-0.81,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,9,18713,9,1,7,2,40,3.7,0.94,60,Y,1.22,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,843.68419,g 700+,i 820+,0.98314416,3.7 +8,3,18737,8,1,7,3,37,3.7,0.68,58,Y,-0.7,F,7,F,94,2,3,-51,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +4,2,18747,4,1,7,4,40,3.7,-0.35,60,Y,-1.1,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +3,4,18748,4,1,7,1,33,3.7,-0.44,67,Y,-0.35,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +10,10,18774,10,1,7,5,41,3.7,1.88,64,Y,1.52,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +6,4,18845,6,1,7,5,44,3.7,0.12,69,Y,-0.24,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +9,8,18855,9,2,7,4,42,3.7,0.94,69,Y,0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +9,8,18873,9,2,7,3,35,3.7,0.94,69,Y,0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +3,5,18889,3,1,7,5,44,3.7,-0.6,65,Y,-0.15,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,18898,10,1,7,1,45,3.7,1.59,66,Y,2,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +4,6,18922,4,1,7,4,38,3.7,-0.32,68,Y,0.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +1,2,18924,1,1,7,1,38,3.7,-1.56,69,Y,-1.11,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +1,6,18935,1,1,7,3,42,3.7,-1.52,46,Y,0.1,P,7,P,95,2,3,-39,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,875.263136,g 700+,i 820+,0.98314416,3.7 +9,8,18939,9,1,7,5,46,3.7,1.23,61,Y,0.56,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +8,9,18956,8,1,7,4,43,3.7,0.75,69,Y,1.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +10,10,19009,10,2,7,4,44,3.7,2.26,67,Y,1.76,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,19023,10,2,7,4,43,3.7,2.19,69,Y,1.62,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +,,19058,,2,7,1,35,3.7,,58,Y,,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +9,8,19078,9,2,7,4,44,3.7,1.16,66,Y,0.8,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +3,2,19126,3,1,7,4,33,3.7,-0.73,69,Y,-1.25,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +5,6,19150,5,2,7,1,35,3.7,-0.07,68,Y,0.15,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +4,6,19178,5,2,7,3,39,3.7,-0.24,59,Y,0.23,P,2,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +5,7,19195,5,1,7,3,37,3.7,-0.02,67,Y,0.26,P,7,P,94,,,-60,female,,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +2,2,19230,3,2,6,1,38,3.7,-0.79,66,Y,-0.92,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,3,19237,5,1,7,1,36,3.7,-0.05,68,Y,-0.55,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,7,19238,5,2,7,1,37,3.7,0.01,69,Y,0.31,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +1,1,19239,1,1,3,4,34,3.7,-1.87,70,Y,-2.19,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,748.947352,g 700+,g 700-760,0.98314416,3.7 +,,19306,2,1,2,5,38.5,3.7,-1.23,69,Y,,F,7,P,95,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,819.9999805,g 700+,h 760-820,0.98314416,3.7 +,,19307,,1,7,5,47,3.7,,69,Y,0,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +10,10,19309,10,1,7,2,29,3.7,2.16,69,Y,2.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,669.999987,f 640-700,f 640-700,0.98314416,3.7 +2,5,19311,2,1,7,5,41,3.7,-0.96,62,Y,-0.06,P,7,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +4,4,19321,4,2,7,5,44,3.7,-0.27,69,Y,-0.41,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +5,4,19334,5,2,7,4,39,3.7,-0.18,68,Y,-0.35,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +6,6,19370,6,1,7,4,33,3.7,0.15,69,Y,0.18,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +3,4,19373,3,2,7,3,30,3.7,-0.59,69,Y,-0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,685.78946,f 640-700,f 640-700,0.98314416,3.7 +9,7,19387,9,2,7,4,46,3.7,1.23,69,Y,0.44,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +8,9,19412,8,2,7,1,30.5,3.7,0.8,64,Y,0.93,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +3,2,19463,3,2,7,4,45,3.7,-0.69,68,Y,-1.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +3,5,19494,3,2,7,4,48,3.7,-0.75,70,Y,-0.13,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +10,10,19525,10,1,7,3,39,3.7,1.76,64,Y,1.7,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +8,7,19526,8,2,7,2,29,3.7,0.79,68,Y,0.49,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,669.999987,f 640-700,f 640-700,0.98314416,3.7 +,,19578,,2,7,5,46,3.7,,68,Y,0,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +8,8,19601,8,1,7,1,42,3.7,0.64,54,Y,0.65,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +,,19614,1,2,7,5,43,3.7,-1.66,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +,,19639,,1,7,5,41,3.7,,69,Y,,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +2,2,19645,2,2,3,4,29,3.7,-0.85,68,Y,-1.23,F,2,F,95,1,2,-66,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,669.999987,f 640-700,f 640-700,0.98314416,3.7 +,,19682,,1,7,4,43,3.7,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +9,8,19695,9,1,7,5,42,3.7,1.16,57,Y,0.67,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +4,3,19709,4,1,7,1,34,3.7,-0.24,68,Y,-0.57,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +5,5,19725,5,1,2,5,38.5,3.7,0.03,70,Y,0.01,P,7,P,94,1,4,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,819.9999805,g 700+,h 760-820,0.98314416,3.7 +6,6,19726,6,1,7,2,35,3.7,0.15,69,Y,0.14,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,764.736825,g 700+,h 760-820,0.98314416,3.7 +5,4,19731,5,2,7,5,45.5,3.7,-0.08,69,Y,-0.34,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,930.5262915,g 700+,i 820+,0.98314416,3.7 +5,8,19745,5,2,7,3,37,3.7,-0.08,69,Y,0.57,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,19750,10,1,7,3,32.5,3.7,1.52,69,Y,1.67,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,725.2631425,g 700+,g 700-760,0.98314416,3.7 +2,2,19769,3,1,7,1,39.3,3.7,-0.78,68,Y,-1.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,832.6315589,g 700+,i 820+,0.98314416,3.7 +10,10,19771,10,1,7,4,47,3.7,1.73,67,Y,1.67,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +6,6,19786,6,2,7,5,42,3.7,0.24,69,Y,0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +8,7,19804,8,2,7,4,44,3.7,0.74,66,Y,0.29,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +,,19826,9,2,7,5,37,3.7,1.32,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,10,19847,9,1,7,3,38,3.7,1.23,67,Y,1.4,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,6,19858,4,1,7,3,33,3.7,-0.38,65,Y,0.03,P,2,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +,,19874,,2,7,,33.5,3.7,0.69,59,Y,0.8,P,7,P,94,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,741.0526155,g 700+,g 700-760,0.98314416,3.7 +,,19896,1,1,6,5,41.5,3.7,-1.52,69,Y,,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,867.3683995,g 700+,i 820+,0.98314416,3.7 +4,6,19906,5,2,7,1,47,3.7,-0.22,64,Y,0.08,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,954.210501,g 700+,i 820+,0.98314416,3.7 +9,8,19933,9,2,2,4,40,3.7,0.97,69,Y,0.57,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +,,19953,,2,7,5,44,3.7,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +3,3,19963,3,1,7,1,33,3.7,-0.59,69,Y,-0.74,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +7,9,19969,8,1,7,3,43,3.7,0.54,49,Y,1.2,P,2,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,891.052609,g 700+,i 820+,0.98314416,3.7 +4,1,20080,4,2,7,4,40,3.7,-0.39,69,Y,-1.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +1,1,20095,1,2,7,5,41,3.7,-1.84,66,Y,-1.77,F,7,F,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +3,2,20117,4,1,7,1,38,3.7,-0.45,69,Y,-1.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,9,20129,8,1,7,3,37.5,3.7,0.71,63,Y,1.17,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,804.2105075,g 700+,h 760-820,0.98314416,3.7 +8,8,20131,8,1,7,1,32,3.7,0.67,69,Y,0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +1,1,20149,1,2,7,1,27,3.7,-1.87,64,Y,-1.49,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,638.421041,e 580-640,e 580-640,0.98314416,3.7 +6,3,20183,7,1,6,3,36,3.7,0.26,69,Y,-0.66,F,2,F,95,1,4,-67,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,6,20191,7,2,7,1,43,3.7,0.48,62,Y,0.05,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +3,3,20214,3,2,7,5,41,3.7,-0.61,61,Y,-0.72,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +1,1,20238,1,2,7,4,28,3.7,-1.55,65,Y,-1.61,F,7,F,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,654.210514,f 640-700,f 640-700,0.98314416,3.7 +5,5,20245,5,2,7,1,33,3.7,-0.14,68,Y,-0.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +3,3,20270,4,1,7,3,29.7,3.7,-0.47,49,Y,-0.59,P,7,P,94,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526181,f 640-700,f 640-700,0.98314416,3.7 +2,2,20295,3,2,7,4,44,3.7,-0.76,69,Y,-0.86,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +,,20300,,1,,4,35,3.7,0.27,67,Y,0.28,F,7,P,95,1,4,-60,female,0,0,,,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,764.736825,g 700+,h 760-820,0.98314416,3.7 +9,8,20308,9,2,7,1,37,3.7,0.92,65,Y,0.81,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,9,20349,9,2,7,2,37,3.7,0.98,68,Y,1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,2,20352,3,1,7,1,34,3.7,-0.73,69,Y,-1.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +3,3,20372,3,2,7,5,43,3.7,-0.6,68,Y,-0.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +1,4,20374,1,2,7,4,40,3.7,-2.51,69,Y,-0.41,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +8,8,20411,8,2,7,1,35.5,3.7,0.79,68,Y,0.69,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,772.6315615,g 700+,h 760-820,0.98314416,3.7 +,,20418,,2,7,2,43,3.7,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,891.052609,g 700+,i 820+,0.98314416,3.7 +3,3,20437,4,1,7,4,33,3.7,-0.47,69,Y,-0.59,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +10,9,20444,10,2,7,1,42,3.7,1.53,67,Y,1.08,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,20456,9,1,7,1,42,3.7,1.1,68,Y,0.92,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +7,8,20473,7,1,7,3,39,3.7,0.45,64,Y,0.71,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +9,10,20489,9,2,7,4,45,3.7,1.2,69,Y,1.49,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +4,6,20510,4,1,6,5,40.5,3.7,-0.32,68,Y,0.25,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,851.5789265,g 700+,i 820+,0.98314416,3.7 +10,10,20525,10,1,7,3,32,3.7,1.33,70,Y,1.43,P,6,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +6,5,20561,6,1,7,1,36,3.7,0.23,68,Y,-0.06,P,,P,,1,5,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +,,20614,,1,7,1,39,3.7,,65,Y,,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +5,6,20634,5,1,7,3,31,3.7,-0.16,58,Y,0.13,P,2,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +5,6,20648,5,2,7,4,41,3.7,-0.04,55,Y,0.08,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +7,7,20657,7,2,7,1,37,3.7,0.33,62,Y,0.37,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,4,20675,6,1,7,4,45,3.7,0.2,69,Y,-0.48,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +2,9,20690,2,1,7,3,38,3.7,-1.11,60,Y,1.11,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +1,1,20697,1,2,7,3,36,3.7,-2.3,69,Y,-2.22,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +,,20748,,2,7,5,40,3.7,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +6,7,20758,7,1,7,1,33.5,3.7,0.31,69,Y,0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,741.0526155,g 700+,g 700-760,0.98314416,3.7 +9,10,20778,9,2,7,4,47,3.7,1.15,59,Y,1.55,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +7,5,20788,8,2,7,3,38,3.7,0.52,68,Y,-0.05,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,5,20798,5,1,7,3,34,3.7,-0.23,69,Y,-0.2,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +9,9,20810,9,2,7,1,34,3.7,0.97,58,Y,1.03,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +9,9,20851,9,2,7,1,44,3.7,0.94,70,Y,1,P,6,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +6,5,20873,6,2,7,4,41,3.7,0.14,67,Y,-0.01,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +7,7,20898,7,1,7,4,34,3.7,0.48,69,Y,0.35,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,748.947352,g 700+,g 700-760,0.98314416,3.7 +7,7,20906,7,2,7,1,36,3.7,0.33,56,Y,0.3,P,7,P,94,1,2,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,3,21009,6,1,7,3,32,3.7,0.17,64,Y,-0.68,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +4,4,21010,4,1,7,4,33,3.7,-0.32,49,Y,-0.3,F,2,F,96,2,2,-47,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +9,10,21019,9,1,7,3,43,3.7,0.88,51,Y,1.47,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,891.052609,g 700+,i 820+,0.98314416,3.7 +2,1,21023,2,2,7,2,27,3.7,-0.96,52,Y,-1.29,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.421041,e 580-640,e 580-640,0.98314416,3.7 +5,6,21034,6,2,7,4,48,3.7,0.03,69,Y,0.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +7,8,21037,7,1,3,1,28,3.7,0.55,61,Y,0.6,P,7,P,94,1,1,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,654.210514,f 640-700,f 640-700,0.98314416,3.7 +3,2,21089,3,2,7,3,35,3.7,-0.54,51,Y,-1.17,P,7,P,94,1,2,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +1,2,21113,1,1,7,4,44,3.7,-1.37,68,Y,-1.02,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +8,8,21127,9,2,7,1,41,3.7,0.88,69,Y,0.76,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +10,10,21158,10,1,7,1,43,3.7,1.42,69,Y,1.52,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +8,4,21166,8,2,7,4,42,3.7,0.66,68,Y,-0.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +10,10,21204,10,1,7,2,37,3.7,2.39,66,Y,2.02,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,6,21272,8,1,7,4,38,3.7,0.57,69,Y,0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,21273,10,1,7,2,34,3.7,2.39,70,Y,2.14,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,748.947352,g 700+,g 700-760,0.98314416,3.7 +,,21278,,2,7,2,41,3.7,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,859.473663,g 700+,i 820+,0.98314416,3.7 +9,9,21285,9,2,7,3,36,3.7,1.14,58,Y,0.89,P,7,P,95,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,5,21308,4,2,7,5,37,3.7,-0.24,68,Y,-0.16,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,5,21311,5,1,7,3,34,3.7,-0.07,67,Y,-0.27,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +3,1,21313,3,1,4,4,27,3.7,-0.62,69,Y,-1.65,P,7,P,94,1,1,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,638.421041,e 580-640,e 580-640,0.98314416,3.7 +,,21315,,2,,5,48,3.7,,68,Y,0,P,2,P,96,1,4,-66,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +2,2,21341,3,1,2,3,31,3.7,-0.8,69,Y,-1.21,P,2,P,95,1,4,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +1,3,21345,1,1,7,3,39,3.7,-1.58,70,Y,-0.88,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +,,21367,9,1,7,5,47,3.7,1.17,68,Y,,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +2,3,21380,3,1,7,3,39,3.7,-0.73,70,Y,-0.63,P,2,P,94,1,5,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +1,2,21382,2,1,2,1,37,3.7,-1.21,68,Y,-1.25,P,7,P,94,1,5,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,21387,,1,7,6,27.5,3.7,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,646.3157775,f 640-700,f 640-700,0.98314416,3.7 +8,6,21403,8,1,7,3,36,3.7,0.7,68,Y,0.2,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,7,21419,8,2,7,4,48,3.7,0.75,68,Y,0.51,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +3,2,21420,3,2,7,3,37,3.7,-0.61,68,Y,-1.12,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +9,10,21434,9,1,7,1,42,3.7,1.22,68,Y,1.61,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +,,21446,,2,7,1,37,3.7,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,21458,8,2,7,5,42,3.7,0.77,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +10,10,21460,10,2,7,5,48,3.7,1.77,68,Y,1.59,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +10,10,21467,10,2,7,1,38,3.7,1.86,65,Y,2.11,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,9,21468,8,1,7,4,43,3.7,0.7,66,Y,1.02,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +3,4,21471,4,1,7,3,36,3.7,-0.52,69,Y,-0.42,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +,,21488,9,2,2,5,41,3.7,1.06,70,Y,,P,7,P,94,1,4,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +4,6,21516,4,2,7,1,45,3.7,-0.24,68,Y,0.14,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,922.631555,g 700+,i 820+,0.98314416,3.7 +,,21534,,1,7,3,37,3.7,,66,Y,0.43,P,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +4,8,21544,5,2,2,3,23,3.7,-0.17,66,Y,0.75,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,575.263149,d 520-580,d 520-580,0.98314416,3.7 +3,4,21577,3,2,7,5,45,3.7,-0.56,68,Y,-0.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +10,10,21589,10,2,7,1,38,3.7,1.32,66,Y,1.46,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +6,8,21596,7,2,8,1,43,3.7,0.31,63,Y,0.73,P,7,P,94,1,3,-56,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +1,3,21630,1,1,2,4,40,3.7,-1.26,66,Y,-0.64,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +2,2,21689,2,2,7,3,37,3.7,-0.87,68,Y,-1.16,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,9,21710,8,1,7,1,38,3.7,0.72,69,Y,0.9,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,21780,10,2,7,4,42,3.7,1.9,69,Y,1.65,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +10,9,21818,10,2,7,1,31,3.7,1.39,67,Y,1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.578933,g 700+,g 700-760,0.98314416,3.7 +4,3,21819,5,2,7,5,37,3.7,-0.19,69,Y,-0.72,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,7,21833,6,2,7,1,43,3.7,0.26,69,Y,0.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +1,1,21849,1,1,3,5,38,3.7,-1.44,71,Y,-1.68,P,7,P,94,1,4,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,812.105244,g 700+,h 760-820,0.98314416,3.7 +3,5,21853,4,1,6,3,40,3.7,-0.46,62,Y,-0.1,P,7,P,95,1,3,-55,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +5,6,21883,6,1,7,3,35,3.7,0,66,Y,0.21,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,7,21893,7,1,7,3,33.5,3.7,0.5,68,Y,0.49,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,741.0526155,g 700+,g 700-760,0.98314416,3.7 +9,10,21908,9,2,7,1,41,3.7,1.22,58,Y,1.45,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +8,8,21916,8,1,7,3,35,3.7,0.64,69,Y,0.76,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +10,5,21935,10,1,7,5,39,3.7,2.55,64,Y,-0.1,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +6,8,21976,7,2,7,1,41,3.7,0.32,68,Y,0.76,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +10,9,21997,10,1,7,4,35,3.7,1.36,64,Y,1.25,P,7,P,95,2,2,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,764.736825,g 700+,h 760-820,0.98314416,3.7 +4,5,22000,4,1,7,4,37,3.7,-0.42,68,Y,-0.22,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,4,22044,6,1,7,2,25,3.7,0.03,69,Y,-0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,606.842095,e 580-640,e 580-640,0.98314416,3.7 +9,10,22049,9,2,1,4,39,3.7,1.27,68,Y,1.48,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +6,8,22070,6,1,7,3,36,3.7,0.24,69,Y,0.79,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,5,22080,6,1,7,4,42,3.7,0.07,69,Y,-0.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +9,9,22087,9,2,7,4,39,3.7,1.21,61,Y,1.21,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +6,6,22101,6,1,7,1,39,3.7,0.18,69,Y,0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +7,6,22102,7,2,7,3,24.5,3.7,0.47,65,Y,0,P,2,P,95,2,3,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,598.9473585,e 580-640,e 580-640,0.98314416,3.7 +1,1,22104,1,2,7,4,31,3.7,-1.31,63,Y,-1.82,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,701.578933,g 700+,g 700-760,0.98314416,3.7 +8,9,22122,8,1,7,4,37,3.7,0.81,70,Y,0.97,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,7,22137,8,1,7,1,32,3.7,0.83,68,Y,0.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +9,9,22165,9,1,7,3,36,3.7,1.25,70,Y,0.95,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,6,22173,8,2,7,4,38,3.7,0.55,68,Y,0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +,,22174,,2,7,5,37,3.7,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,4,22189,5,2,7,4,39,3.7,-0.08,69,Y,-0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +6,4,22193,6,2,7,4,45,3.7,0.25,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +4,5,22199,4,1,7,2,30,3.7,-0.4,68,Y,-0.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,685.78946,f 640-700,f 640-700,0.98314416,3.7 +4,6,22214,4,1,7,4,39,3.7,-0.25,69,Y,0.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +4,6,22228,4,2,7,5,36,3.7,-0.35,67,Y,0.1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,780.526298,g 700+,h 760-820,0.98314416,3.7 +3,2,22249,3,1,7,5,48,3.7,-0.55,65,Y,-0.85,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +2,2,22257,2,1,7,1,40,3.7,-0.91,69,Y,-1.03,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +6,7,22273,6,2,2,5,42,3.7,0.29,67,Y,0.3,P,7,P,94,1,2,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +5,6,22293,6,2,7,3,48,3.7,0.04,68,Y,0.25,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,969.999974,g 700+,i 820+,0.98314416,3.7 +5,4,22313,5,2,7,5,47,3.7,-0.15,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +4,3,22315,4,2,7,1,36,3.7,-0.34,69,Y,-0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +9,6,22322,9,1,7,5,41.5,3.7,1.31,63,Y,0.19,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,867.3683995,g 700+,i 820+,0.98314416,3.7 +8,9,22343,8,2,7,3,43,3.7,0.61,69,Y,0.87,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,891.052609,g 700+,i 820+,0.98314416,3.7 +6,5,22369,6,1,2,4,48,3.7,0.2,69,Y,-0.09,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,969.999974,g 700+,i 820+,0.98314416,3.7 +6,10,22388,6,2,7,4,43,3.7,0.25,69,Y,1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +6,8,22391,6,1,7,3,36,3.7,0.13,56,Y,0.81,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,10,22404,10,1,7,1,41,3.7,2.67,69,Y,2.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +9,10,22410,9,1,7,4,43,3.7,1.2,68,Y,1.43,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +9,9,22429,9,1,7,3,42,3.7,1,69,Y,0.98,P,6,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,875.263136,g 700+,i 820+,0.98314416,3.7 +6,7,22447,6,1,7,2,41,3.7,0.16,69,Y,0.4,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,859.473663,g 700+,i 820+,0.98314416,3.7 +5,4,22456,6,1,7,3,36,3.7,0.04,68,Y,-0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,3,22488,4,2,7,1,37,3.7,-0.41,66,Y,-0.59,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +1,1,22522,2,1,7,1,34,3.7,-1.23,64,Y,-1.45,F,7,F,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +2,5,22547,2,1,7,4,33.5,3.7,-0.93,69,Y,-0.11,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,741.0526155,g 700+,g 700-760,0.98314416,3.7 +2,5,22564,2,2,6,4,40,3.7,-1.05,61,Y,-0.03,P,2,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +9,6,22580,9,1,7,3,31,3.7,1.18,50,Y,0.1,P,7,P,95,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +10,10,22629,10,2,7,3,38,3.7,1.34,51,Y,2.12,P,2,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +,,22653,6,2,7,5,41,3.7,0.11,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +3,5,22673,3,1,3,4,42,3.7,-0.73,69,Y,-0.16,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +5,7,22692,6,2,7,1,31.5,3.7,0.08,69,Y,0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,709.4736695,g 700+,g 700-760,0.98314416,3.7 +10,10,22694,10,2,7,1,31,3.7,1.66,66,Y,2.18,P,7,P,95,2,2,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.578933,g 700+,g 700-760,0.98314416,3.7 +2,2,22707,2,2,4,5,42,3.7,-1.07,66,Y,-1.07,F,7,P,95,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +4,4,22723,4,2,7,1,40,3.7,-0.4,70,Y,-0.46,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +8,7,22728,8,2,7,3,31,3.7,0.57,68,Y,0.44,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +4,8,22780,5,1,7,2,35,3.7,-0.27,69,Y,0.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,764.736825,g 700+,h 760-820,0.98314416,3.7 +9,9,22842,9,2,7,3,31,3.7,1.22,69,Y,1.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +2,3,22844,2,1,6,5,41,3.7,-0.94,68,Y,-0.83,F,7,P,95,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +8,8,22854,8,1,7,1,40,3.7,0.77,64,Y,0.68,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +4,4,22871,4,2,3,5,33,3.7,-0.22,70,Y,-0.28,P,7,P,94,1,3,-63,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,733.157879,g 700+,g 700-760,0.98314416,3.7 +3,3,22880,3,1,7,1,44,3.7,-0.62,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +7,6,22887,7,2,7,1,39,3.7,0.37,69,Y,0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +1,1,22911,1,1,7,2,33.5,3.7,-1.53,67,Y,-1.36,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,741.0526155,g 700+,g 700-760,0.98314416,3.7 +3,3,22925,3,1,7,1,35,3.7,-0.53,68,Y,-0.57,P,2,P,94,1,,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +4,3,22927,4,2,2,4,43,3.7,-0.32,69,Y,-0.53,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +,,22929,,2,,5,44,3.7,1.04,69,Y,0.97,P,7,P,94,1,5,-62,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +3,2,22963,3,1,7,1,36,3.7,-0.73,51,Y,-1.17,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,8,22967,7,1,7,1,37,3.7,0.53,69,Y,0.56,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,3,22968,4,2,7,1,42.5,3.7,-0.46,69,Y,-0.77,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,883.1578725,g 700+,i 820+,0.98314416,3.7 +7,6,22969,7,2,1,1,38,3.7,0.43,69,Y,0.16,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,9,22973,10,2,7,2,32,3.7,1.5,69,Y,0.91,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,717.368406,g 700+,g 700-760,0.98314416,3.7 +6,8,22975,6,2,7,1,40,3.7,0.2,69,Y,0.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +9,9,22976,9,2,7,1,37,3.7,1.12,64,Y,1.17,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,4,23039,3,2,7,1,38,3.7,-0.72,69,Y,-0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,8,23051,10,1,7,1,41,3.7,1.33,49,Y,0.7,P,7,P,95,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +8,8,23063,8,1,7,1,38,3.7,0.79,68,Y,0.57,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +6,7,23075,6,1,7,3,38,3.7,0.19,69,Y,0.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,23091,10,2,7,4,44,3.7,1.72,58,Y,2.01,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +7,4,23097,7,1,7,1,32,3.7,0.43,69,Y,-0.35,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,717.368406,g 700+,g 700-760,0.98314416,3.7 +3,2,23099,3,1,7,1,40,3.7,-0.73,69,Y,-0.88,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +2,2,23110,2,1,7,5,45,3.7,-0.94,67,Y,-1.1,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +9,9,23155,9,1,7,3,38,3.7,0.95,69,Y,1.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,8,23156,8,2,7,2,33,3.7,0.58,69,Y,0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.157879,g 700+,g 700-760,0.98314416,3.7 +7,8,23192,7,1,7,1,43,3.7,0.42,69,Y,0.77,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +2,1,23206,3,1,7,1,36,3.7,-0.8,63,Y,-1.43,P,2,P,96,2,2,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +1,3,23222,1,1,7,1,42,3.7,-1.57,69,Y,-0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +3,1,23230,3,2,7,1,38.5,3.7,-0.57,68,Y,-1.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,819.9999805,g 700+,h 760-820,0.98314416,3.7 +10,10,23233,10,1,7,4,44,3.7,1.63,67,Y,1.41,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +3,3,23256,4,1,8,3,27,3.7,-0.51,69,Y,-0.76,P,7,P,94,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,638.421041,e 580-640,e 580-640,0.98314416,3.7 +4,2,23293,5,2,7,1,33.5,3.7,-0.2,67,Y,-1.09,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,741.0526155,g 700+,g 700-760,0.98314416,3.7 +6,7,23322,6,2,7,3,33,3.7,0.13,69,Y,0.29,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +6,4,23351,6,1,7,4,33.5,3.7,0.17,61,Y,-0.42,F,7,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,741.0526155,g 700+,g 700-760,0.98314416,3.7 +7,8,23359,7,1,2,3,35,3.7,0.49,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,7,23378,7,1,7,4,42,3.7,0.34,68,Y,0.51,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +4,3,23381,4,2,7,1,35,3.7,-0.33,68,Y,-0.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +3,5,23405,3,2,7,4,38,3.7,-0.65,67,Y,-0.22,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +3,2,23414,3,2,7,4,30,3.7,-0.62,69,Y,-0.98,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,685.78946,f 640-700,f 640-700,0.98314416,3.7 +9,9,23425,9,1,7,1,44,3.7,1.02,69,Y,1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +5,3,23431,5,1,7,1,43,3.7,-0.09,56,Y,-0.56,P,7,P,95,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +9,4,23480,9,1,2,3,30.5,3.7,0.93,65,Y,-0.52,F,2,P,95,2,4,-63,female,1,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +2,2,23494,2,2,7,1,37,3.7,-1.03,68,Y,-1.17,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,23554,10,2,7,4,44,3.7,1.42,68,Y,1.65,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +4,4,23577,5,2,7,4,40,3.7,-0.22,68,Y,-0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,843.68419,g 700+,i 820+,0.98314416,3.7 +7,6,23578,7,2,7,1,35.7,3.7,0.5,65,Y,0.26,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.7894561,g 700+,h 760-820,0.98314416,3.7 +2,3,23579,2,1,7,5,39,3.7,-0.91,69,Y,-0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +5,7,23606,6,1,7,3,39,3.7,0.02,69,Y,0.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +9,8,23610,10,2,7,6,29,3.7,1.27,61,Y,0.66,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,669.999987,f 640-700,f 640-700,0.98314416,3.7 +7,6,23614,7,2,7,3,38,3.7,0.33,52,Y,0.15,P,7,P,93,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +,,23625,,1,2,5,44,3.7,,69,Y,0,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,23658,10,1,7,1,36,3.7,1.9,68,Y,1.96,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +2,1,23675,3,2,7,3,36,3.7,-0.73,66,Y,-1.46,F,7,F,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,5,23679,4,2,7,4,44,3.7,-0.45,69,Y,-0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +4,5,23680,4,1,7,3,39,3.7,-0.34,69,Y,-0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +5,5,23699,6,2,7,3,28,3.7,0,61,Y,-0.12,P,2,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.210514,f 640-700,f 640-700,0.98314416,3.7 +9,10,23707,9,1,7,1,43,3.7,1.27,69,Y,1.62,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +7,8,23731,7,1,7,4,41,3.7,0.53,70,Y,0.59,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +,,23744,,1,7,5,47,3.7,,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +3,3,23763,3,2,7,3,40,3.7,-0.7,67,Y,-0.87,P,2,P,96,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +3,3,23770,3,2,7,5,43,3.7,-0.53,66,Y,-0.67,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +6,7,23837,7,1,7,1,42,3.7,0.29,64,Y,0.3,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +7,7,23855,7,1,2,4,41,3.7,0.34,69,Y,0.43,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +9,10,23860,9,2,7,3,32,3.7,1.07,56,Y,1.79,P,7,P,94,1,1,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +1,1,23915,1,1,7,4,46,3.7,-1.93,69,Y,-2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +4,4,23929,5,1,7,3,26,3.7,-0.22,67,Y,-0.29,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,622.631568,e 580-640,e 580-640,0.98314416,3.7 +10,10,23955,10,2,7,1,42,3.7,2.4,61,Y,2.86,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +3,3,23977,3,1,7,5,47,3.7,-0.55,68,Y,-0.76,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +9,10,23987,9,2,7,4,39,3.7,1.15,66,Y,1.34,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +10,9,23988,10,1,7,4,46,3.7,1.55,67,Y,1.27,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +9,10,23993,9,2,7,1,42,3.7,1.14,53,Y,1.41,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +6,7,23997,7,1,7,3,33,3.7,0.28,69,Y,0.33,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +,,24007,,1,6,6,31,3.7,,36,Y,,P,7,P,94,1,2,-29,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,701.578933,g 700+,g 700-760,0.98314416,3.7 +,,24013,2,1,2,5,39,3.7,-0.86,69,Y,,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +9,10,24020,9,1,7,3,39,3.7,1.05,63,Y,1.58,P,7,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +10,9,24029,10,2,7,5,44,3.7,1.47,68,Y,1.05,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +10,10,24054,10,1,7,3,41,3.7,1.7,66,Y,1.51,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +5,7,24123,5,1,2,4,44,3.7,-0.19,69,Y,0.29,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +8,5,24167,8,1,7,2,26,3.7,0.59,69,Y,-0.08,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,622.631568,e 580-640,e 580-640,0.98314416,3.7 +8,8,24170,8,1,7,4,36,3.7,0.64,63,Y,0.84,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,8,24196,6,1,7,5,46,3.7,0.33,67,Y,0.63,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +1,3,24220,1,1,7,5,45,3.7,-1.36,65,Y,-0.71,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +3,4,24222,3,1,7,1,38,3.7,-0.53,67,Y,-0.49,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +,,24248,4,1,7,5,40.5,3.7,-0.42,67,Y,,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,851.5789265,g 700+,i 820+,0.98314416,3.7 +9,9,24249,9,2,7,5,46,3.7,1.41,,Y,1.17,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +9,9,24267,9,2,7,1,40,3.7,1.23,68,Y,0.96,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +10,10,24278,10,1,7,1,36.5,3.7,1.61,69,Y,1.47,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,788.4210345,g 700+,h 760-820,0.98314416,3.7 +9,8,24291,9,1,7,2,31,3.7,1.01,69,Y,0.66,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,701.578933,g 700+,g 700-760,0.98314416,3.7 +,,24358,,1,7,5,47,3.7,,67,Y,0,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +6,4,24372,6,1,7,4,32,3.7,0.1,56,Y,-0.34,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.368406,g 700+,g 700-760,0.98314416,3.7 +3,2,24397,3,2,7,4,34,3.7,-0.55,68,Y,-1.17,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,748.947352,g 700+,g 700-760,0.98314416,3.7 +10,10,24402,10,2,7,3,30.5,3.7,1.37,69,Y,1.49,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,693.6841965,f 640-700,f 640-700,0.98314416,3.7 +3,5,24451,4,2,7,5,40,3.7,-0.5,67,Y,-0.2,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +6,7,24464,6,1,7,1,39,3.7,0.29,62,Y,0.4,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +6,6,24475,7,1,7,3,42,3.7,0.28,67,Y,0.17,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,875.263136,g 700+,i 820+,0.98314416,3.7 +2,4,24491,2,2,7,1,46,3.7,-0.85,68,Y,-0.45,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,938.421028,g 700+,i 820+,0.98314416,3.7 +4,9,24526,4,1,7,4,43,3.7,-0.25,62,Y,1,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +4,4,24537,4,2,7,3,29,3.7,-0.26,54,Y,-0.41,P,2,P,95,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,669.999987,f 640-700,f 640-700,0.98314416,3.7 +4,5,24544,4,1,7,3,35,3.7,-0.25,69,Y,-0.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +5,5,24554,5,1,7,4,41,3.7,-0.02,52,Y,-0.15,P,7,P,95,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +5,3,24555,6,2,7,4,31.5,3.7,0.05,67,Y,-0.67,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,709.4736695,g 700+,g 700-760,0.98314416,3.7 +7,6,24575,7,1,7,3,36,3.7,0.35,68,Y,0.16,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +9,8,24585,9,1,7,5,48,3.7,1.09,66,Y,0.67,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +2,6,24621,2,1,7,1,38,3.7,-1.03,65,Y,0.04,P,2,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,6,24627,8,2,7,4,33,3.7,0.76,63,Y,0.04,P,7,P,94,1,,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +5,4,24666,5,1,3,5,39,3.7,-0.11,69,Y,-0.45,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +3,3,24668,4,1,7,3,29,3.7,-0.43,60,Y,-0.68,F,7,P,95,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,669.999987,f 640-700,f 640-700,0.98314416,3.7 +5,5,24679,5,2,7,1,39,3.7,-0.04,68,Y,-0.02,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +7,8,24711,7,2,7,3,34,3.7,0.37,67,Y,0.66,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +8,7,24712,8,2,7,1,42,3.7,0.71,66,Y,0.55,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +3,3,24749,3,2,2,5,43,3.7,-0.78,66,Y,-0.7,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +1,2,24759,2,1,7,3,30,3.7,-1.17,68,Y,-0.91,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,685.78946,f 640-700,f 640-700,0.98314416,3.7 +8,8,24767,8,2,7,1,33.5,3.7,0.77,68,Y,0.83,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,741.0526155,g 700+,g 700-760,0.98314416,3.7 +8,9,24769,9,2,7,1,42,3.7,0.9,69,Y,1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +2,2,24799,2,2,7,4,38,3.7,-0.84,68,Y,-1.16,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +1,2,24807,2,1,7,3,33,3.7,-1.14,48,Y,-0.97,F,2,F,96,2,3,-46,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,733.157879,g 700+,g 700-760,0.98314416,3.7 +7,7,24817,7,2,7,4,47,3.7,0.36,59,Y,0.45,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +,,24825,6,1,6,5,42,3.7,0.28,69,Y,,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +1,3,24841,1,2,3,4,18,3.7,-2.01,57,Y,-0.66,F,7,F,94,1,2,-50,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,496.315784,c 460-520,c 460-520,0.98314416,3.7 +1,2,24850,1,1,3,1,28,3.7,-1.58,62,Y,-0.96,P,7,P,94,1,3,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,654.210514,f 640-700,f 640-700,0.98314416,3.7 +2,3,24884,2,1,7,1,35,3.7,-0.99,69,Y,-0.76,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +,,24911,5,2,7,1,40,3.7,-0.05,59,Y,,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +6,5,24919,6,2,7,1,41,3.7,0.12,69,Y,-0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +9,9,24927,9,2,7,1,48,3.7,1.2,57,Y,1.16,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,969.999974,g 700+,i 820+,0.98314416,3.7 +9,9,24938,9,2,7,1,39,3.7,1.19,69,Y,0.94,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,827.894717,g 700+,i 820+,0.98314416,3.7 +2,2,24951,2,2,7,1,31,3.7,-1.08,67,Y,-1.08,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,701.578933,g 700+,g 700-760,0.98314416,3.7 +7,6,24971,7,1,7,4,42,3.7,0.41,67,Y,0.1,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +,,24976,,1,7,4,42,3.7,,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +3,2,24990,3,2,7,5,48,3.7,-0.62,69,Y,-0.92,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +4,4,24998,5,2,7,3,32,3.7,-0.22,68,Y,-0.5,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.368406,g 700+,g 700-760,0.98314416,3.7 +,,25000,,2,7,1,41,3.7,,57,Y,1.4,P,2,P,96,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +3,3,25006,3,2,7,1,36,3.7,-0.59,67,Y,-0.76,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,7,25011,6,2,7,1,40,3.7,0.24,67,Y,0.52,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,843.68419,g 700+,i 820+,0.98314416,3.7 +4,7,25029,5,2,7,4,39,3.7,-0.22,69,Y,0.34,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +6,4,25052,7,1,7,3,39,3.7,0.27,68,Y,-0.5,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +3,5,25058,3,2,7,4,44,3.7,-0.56,68,Y,-0.05,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +7,5,25109,7,2,7,4,44,3.7,0.42,70,Y,-0.01,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +8,8,25128,8,1,7,3,35,3.7,0.71,62,Y,0.6,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +6,4,25148,7,2,7,5,43,3.7,0.35,68,Y,-0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,891.052609,g 700+,i 820+,0.98314416,3.7 +1,1,25155,2,2,7,1,36,3.7,-1.15,68,Y,-1.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,7,25189,6,2,7,5,44,3.7,0.33,69,Y,0.47,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +2,2,25207,2,1,7,1,29,3.7,-0.97,68,Y,-1.18,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,669.999987,f 640-700,f 640-700,0.98314416,3.7 +9,8,25240,9,1,7,3,42,3.7,0.87,69,Y,0.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,875.263136,g 700+,i 820+,0.98314416,3.7 +7,6,25243,7,1,7,5,44,3.7,0.58,69,Y,0.25,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +8,7,25262,8,2,7,1,37,3.7,0.67,65,Y,0.43,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +5,7,25284,5,1,7,1,36,3.7,-0.13,68,Y,0.31,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,8,25293,6,2,7,4,42,3.7,0.01,66,Y,0.77,P,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,875.263136,g 700+,i 820+,0.98314416,3.7 +7,8,25300,7,1,7,3,27,3.7,0.45,61,Y,0.75,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.421041,e 580-640,e 580-640,0.98314416,3.7 +,,25316,,1,7,5,48,3.7,,65,Y,,P,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +,,25331,3,1,7,5,39,3.7,-0.83,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,827.894717,g 700+,i 820+,0.98314416,3.7 +6,8,25334,7,2,7,5,42,3.7,0.35,69,Y,0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +4,6,25359,4,2,7,2,30,3.7,-0.4,68,Y,0.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,685.78946,f 640-700,f 640-700,0.98314416,3.7 +7,6,25369,7,1,7,1,38,3.7,0.35,69,Y,0.13,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,8,25372,5,1,7,3,38,3.7,-0.05,66,Y,0.66,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,25398,10,2,7,3,40,3.7,1.32,69,Y,1.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +10,9,25412,10,1,2,3,37,3.7,1.41,69,Y,1.01,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,25414,,2,2,5,40,3.7,,65,Y,,P,7,P,94,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +4,3,25466,4,2,7,5,44,3.7,-0.24,66,Y,-0.76,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,906.842082,g 700+,i 820+,0.98314416,3.7 +7,6,25468,7,2,7,5,40,3.7,0.55,68,Y,0.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,843.68419,g 700+,i 820+,0.98314416,3.7 +10,10,25476,10,2,7,2,36,3.7,1.58,70,Y,1.87,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,4,25486,4,2,2,5,42,3.7,-0.26,69,Y,-0.28,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +,,25517,,1,7,4,38,3.7,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +5,8,25520,5,1,7,1,35,3.7,-0.14,68,Y,0.67,P,7,P,94,1,1,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +2,2,25526,3,1,7,1,37,3.7,-0.79,68,Y,-1.11,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +,,25532,,2,7,3,26,3.7,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,622.631568,e 580-640,e 580-640,0.98314416,3.7 +1,1,25542,1,2,3,5,33,3.7,-3.21,68,Y,-3.04,F,7,P,95,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,733.157879,g 700+,g 700-760,0.98314416,3.7 +6,6,25564,6,2,7,1,35,3.7,0.12,69,Y,0.19,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,764.736825,g 700+,h 760-820,0.98314416,3.7 +7,9,25572,7,1,7,3,31,3.7,0.51,69,Y,1.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +5,7,25625,5,1,7,1,33,3.7,0.04,56,Y,0.33,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +6,6,25642,6,2,7,3,34,3.7,0.22,62,Y,0.09,F,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +8,5,25646,8,1,7,1,36,3.7,0.71,69,Y,-0.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,6,25648,5,1,7,1,38,3.7,-0.14,69,Y,0.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +7,8,25670,7,1,7,1,33,3.7,0.39,51,Y,0.58,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +3,3,25713,3,2,7,1,33,3.7,-0.53,66,Y,-0.55,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.157879,g 700+,g 700-760,0.98314416,3.7 +4,6,25714,4,2,7,4,39,3.7,-0.27,69,Y,0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +8,8,25736,8,1,7,1,37,3.7,0.68,68,Y,0.69,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +8,9,25748,8,1,7,5,47,3.7,0.83,68,Y,0.94,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +5,5,25764,5,2,7,4,44,3.7,-0.04,69,Y,0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +8,7,25774,8,2,7,1,43,3.7,0.63,70,Y,0.39,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +10,10,25785,10,1,7,2,34,3.7,2.23,67,Y,2.63,P,7,P,95,2,1,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,748.947352,g 700+,g 700-760,0.98314416,3.7 +7,7,25800,7,1,7,3,35,3.7,0.43,69,Y,0.5,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +9,9,25818,9,1,7,5,48,3.7,1.03,65,Y,0.85,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,969.999974,g 700+,i 820+,0.98314416,3.7 +10,9,25829,10,1,7,1,44,3.7,1.62,62,Y,1.22,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,906.842082,g 700+,i 820+,0.98314416,3.7 +,,25836,,2,7,2,36,3.7,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,780.526298,g 700+,h 760-820,0.98314416,3.7 +2,2,25847,3,1,7,3,39,3.7,-0.77,68,Y,-0.91,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +8,5,25853,8,2,7,4,43,3.7,0.8,69,Y,-0.05,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +8,8,25863,8,1,7,1,36,3.7,0.85,62,Y,0.68,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +5,8,25940,5,1,7,4,44,3.7,0,68,Y,0.77,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +9,8,25942,9,1,7,1,41,3.7,0.95,67,Y,0.87,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +10,10,25949,10,1,7,4,39,3.7,1.82,69,Y,2.28,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +10,10,25980,10,1,7,4,38,3.7,2.24,68,Y,2.37,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,9,25990,10,1,7,1,43,3.7,1.47,69,Y,1.14,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,891.052609,g 700+,i 820+,0.98314416,3.7 +10,10,26001,10,1,7,1,36,3.7,1.66,69,Y,1.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +4,4,26048,4,2,7,1,34.5,3.7,-0.23,69,Y,-0.44,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,756.8420885,g 700+,g 700-760,0.98314416,3.7 +3,2,26064,3,1,7,1,37,3.7,-0.73,69,Y,-1.33,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,26076,10,2,7,1,38,3.7,1.41,70,Y,1.41,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,9,26117,9,1,7,3,34,3.7,1.23,69,Y,0.89,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,748.947352,g 700+,g 700-760,0.98314416,3.7 +10,10,26120,10,2,7,5,47,3.7,1.78,66,Y,2.03,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +,,26129,,1,7,1,37,3.7,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +3,3,26172,3,1,7,3,28,3.7,-0.62,54,Y,-0.84,P,7,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.210514,f 640-700,f 640-700,0.98314416,3.7 +10,10,26173,10,1,7,3,41,3.7,2.32,69,Y,2.28,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,859.473663,g 700+,i 820+,0.98314416,3.7 +9,10,26187,9,2,7,5,45,3.7,1.26,64,Y,1.37,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +5,4,26197,5,1,7,4,33,3.7,-0.2,56,Y,-0.39,P,7,P,95,2,4,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.157879,g 700+,g 700-760,0.98314416,3.7 +7,7,26300,7,2,7,3,38,3.7,0.35,66,Y,0.5,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,9,26350,8,1,7,3,42,3.7,0.81,69,Y,1.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,875.263136,g 700+,i 820+,0.98314416,3.7 +4,5,26363,5,2,7,3,36,3.7,-0.18,68,Y,-0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +7,7,26378,8,1,7,1,42,3.7,0.62,66,Y,0.47,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +10,10,26383,10,2,7,1,38,3.7,1.38,67,Y,1.54,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,8,26397,8,2,7,1,37,3.7,0.68,68,Y,0.72,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +6,4,26414,6,1,7,3,39,3.7,0.12,68,Y,-0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +5,8,26430,5,2,2,4,46,3.7,-0.18,69,Y,0.66,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,938.421028,g 700+,i 820+,0.98314416,3.7 +9,10,26444,9,1,7,3,36,3.7,1.04,65,Y,1.71,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,780.526298,g 700+,h 760-820,0.98314416,3.7 +8,10,26445,8,2,7,2,31,3.7,0.63,67,Y,1.68,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,701.578933,g 700+,g 700-760,0.98314416,3.7 +4,2,26472,4,2,7,1,38,3.7,-0.28,69,Y,-0.92,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +9,10,26483,9,1,7,3,31,3.7,1.09,68,Y,1.87,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +10,10,26484,10,2,7,2,32,3.7,1.81,69,Y,1.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,717.368406,g 700+,g 700-760,0.98314416,3.7 +4,5,26510,4,2,7,1,37,3.7,-0.25,66,Y,-0.24,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +1,1,26519,2,1,3,1,26,3.7,-1.27,46,Y,-1.38,F,7,F,95,2,2,-39,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,622.631568,e 580-640,e 580-640,0.98314416,3.7 +7,9,26529,8,2,1,4,41,3.7,0.55,62,Y,1.08,P,7,P,94,1,1,-55,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,859.473663,g 700+,i 820+,0.98314416,3.7 +6,6,26535,6,2,7,4,47,3.7,0.1,68,Y,0.24,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,954.210501,g 700+,i 820+,0.98314416,3.7 +8,9,26552,9,1,7,3,35,3.7,0.85,67,Y,0.91,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,8,26562,8,1,7,1,41,3.7,0.74,68,Y,0.73,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +1,2,26683,2,2,7,4,32,3.7,-1.24,68,Y,-1.01,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.368406,g 700+,g 700-760,0.98314416,3.7 +8,7,26688,8,1,2,1,36,3.7,0.82,67,Y,0.55,P,7,P,94,1,2,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +3,2,26693,3,1,7,5,39.5,3.7,-0.72,68,Y,-0.95,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,835.7894535,g 700+,i 820+,0.98314416,3.7 +4,4,26694,4,1,7,1,34,3.7,-0.41,64,Y,-0.37,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,748.947352,g 700+,g 700-760,0.98314416,3.7 +7,7,26713,7,2,7,1,38,3.7,0.4,64,Y,0.31,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,9,26760,4,1,7,3,39,3.7,-0.39,68,Y,0.95,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +7,9,26774,8,2,7,3,38,3.7,0.53,62,Y,1.03,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,3,26781,5,2,7,1,41,3.7,-0.22,69,Y,-0.6,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +,,26782,,2,7,5,45,3.7,,53,Y,0,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,922.631555,g 700+,i 820+,0.98314416,3.7 +4,4,26799,4,1,8,5,35,3.7,-0.46,69,Y,-0.45,P,7,P,94,1,1,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,764.736825,g 700+,h 760-820,0.98314416,3.7 +8,6,26809,9,2,7,4,43,3.7,0.86,69,Y,0.25,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +6,7,26814,6,1,7,1,41,3.7,0.22,66,Y,0.47,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.473663,g 700+,i 820+,0.98314416,3.7 +,,26825,10,2,7,5,41.5,3.7,1.83,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,867.3683995,g 700+,i 820+,0.98314416,3.7 +,,26835,,1,2,5,32.5,3.7,,69,Y,,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,725.2631425,g 700+,g 700-760,0.98314416,3.7 +1,1,26856,1,2,7,5,42,3.7,-1.54,69,Y,-1.42,F,7,P,95,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,875.263136,g 700+,i 820+,0.98314416,3.7 +6,6,26858,6,2,7,3,31,3.7,0.24,65,Y,0.08,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,701.578933,g 700+,g 700-760,0.98314416,3.7 +1,4,26866,2,2,7,1,37,3.7,-1.21,69,Y,-0.33,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.315771,g 700+,h 760-820,0.98314416,3.7 +10,10,26905,10,2,7,1,38,3.7,2.02,69,Y,1.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.105244,g 700+,h 760-820,0.98314416,3.7 +4,5,26994,4,1,7,5,36,3.7,-0.31,69,Y,-0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,780.526298,g 700+,h 760-820,0.98314416,3.7 +10,9,27008,10,2,7,3,38,3.7,1.68,69,Y,1.18,P,6,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.105244,g 700+,h 760-820,0.98314416,3.7 +8,8,27038,8,1,7,4,44,3.7,0.8,69,Y,0.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +8,9,27040,8,1,7,4,44,3.7,0.78,69,Y,0.92,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,906.842082,g 700+,i 820+,0.98314416,3.7 +8,9,27091,8,1,7,1,36,3.7,0.77,68,Y,0.94,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +2,2,27096,2,1,7,5,38,3.7,-0.96,65,Y,-0.87,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,812.105244,g 700+,h 760-820,0.98314416,3.7 +10,10,27127,10,2,7,3,40,3.7,2.07,57,Y,2.08,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,843.68419,g 700+,i 820+,0.98314416,3.7 +6,6,27143,6,2,7,6,40,3.7,0.23,56,Y,0.08,P,7,P,95,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,843.68419,g 700+,i 820+,0.98314416,3.7 +6,5,27146,6,2,7,5,41,3.7,0.15,69,Y,-0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +1,1,27213,1,2,7,4,39,3.7,-1.5,55,Y,-1.86,F,7,F,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,827.894717,g 700+,i 820+,0.98314416,3.7 +2,5,27215,3,1,7,1,36,3.7,-0.75,68,Y,-0.19,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,5,27254,6,1,7,5,46,3.7,0.31,69,Y,-0.14,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,938.421028,g 700+,i 820+,0.98314416,3.7 +7,6,27265,7,1,7,1,36,3.7,0.41,69,Y,0.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,780.526298,g 700+,h 760-820,0.98314416,3.7 +6,7,27304,6,2,7,4,45,3.7,0.09,69,Y,0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,922.631555,g 700+,i 820+,0.98314416,3.7 +9,10,27322,9,1,7,5,47,3.7,1.39,66,Y,1.26,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,954.210501,g 700+,i 820+,0.98314416,3.7 +5,5,27372,5,2,7,3,39,3.7,-0.03,69,Y,-0.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +5,7,27381,5,1,7,4,43,3.7,-0.12,65,Y,0.48,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,891.052609,g 700+,i 820+,0.98314416,3.7 +8,9,27391,8,2,7,5,41,3.7,0.85,69,Y,1.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,859.473663,g 700+,i 820+,0.98314416,3.7 +10,8,27458,10,2,7,1,42,3.7,1.32,67,Y,0.75,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,875.263136,g 700+,i 820+,0.98314416,3.7 +4,6,27460,5,1,7,3,39,3.7,-0.21,70,Y,0.14,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,827.894717,g 700+,i 820+,0.98314416,3.7 +1,2,31,1,2,7,3,22,2.7,-1.8,68,Y,-1.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,459.473676,b 400-460,b 400-460,0.96252674,2.7 +4,5,48,4,1,7,3,39,2.7,-0.39,69,Y,-0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +4,4,94,4,1,7,3,37,2.7,-0.33,61,Y,-0.3,P,2,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +8,5,129,8,2,7,3,37,2.7,0.61,67,Y,-0.27,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +5,3,142,5,2,7,1,25,2.7,-0.02,67,Y,-0.74,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,506.842095,c 460-520,c 460-520,0.96252674,2.7 +2,1,172,2,2,7,4,44,2.7,-1.03,67,Y,-1.85,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.842082,g 700+,h 760-820,0.96252674,2.7 +10,9,188,10,2,7,3,40,2.7,1.49,67,Y,1.14,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +10,10,238,10,2,7,3,40,2.7,1.49,66,Y,1.56,P,2,P,95,2,3,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +5,6,248,5,1,7,1,40,2.7,-0.12,65,Y,0.03,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +4,6,251,5,1,7,3,33,2.7,-0.24,64,Y,0.1,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +3,1,283,4,1,4,3,32,2.7,-0.5,67,Y,-1.36,P,7,P,94,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +7,9,300,7,2,7,4,38,2.7,0.35,64,Y,0.94,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,712.105244,g 700+,g 700-760,0.96252674,2.7 +5,6,415,6,1,5,6,36,2.7,0.11,66,Y,0.01,P,7,P,94,1,4,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,680.526298,f 640-700,f 640-700,0.96252674,2.7 +10,10,469,10,1,7,6,34,2.7,1.59,68,Y,2.37,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,9,498,5,2,7,4,30.5,2.7,-0.17,63,Y,1.22,P,2,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +1,3,522,1,1,3,1,30,2.7,-2.29,66,Y,-0.79,F,7,P,95,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,585.78946,e 580-640,e 580-640,0.96252674,2.7 +1,1,569,1,2,7,3,34,2.7,-1.71,67,Y,-1.54,F,7,P,96,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +6,5,583,6,2,7,4,31,2.7,0.12,43,Y,-0.12,P,2,P,94,1,3,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,601.578933,e 580-640,e 580-640,0.96252674,2.7 +1,1,597,2,2,7,2,27,2.7,-1.19,67,Y,-1.49,F,2,P,96,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,538.421041,d 520-580,d 520-580,0.96252674,2.7 +2,3,630,3,1,3,6,20,2.7,-0.77,68,Y,-0.8,F,7,F,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,427.89473,b 400-460,b 400-460,0.96252674,2.7 +7,9,660,8,2,7,3,35.5,2.7,0.54,69,Y,1.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.6315615,f 640-700,f 640-700,0.96252674,2.7 +9,9,736,9,2,7,3,29,2.7,0.88,66,Y,1.06,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,569.999987,d 520-580,d 520-580,0.96252674,2.7 +7,7,745,8,2,7,2,38,2.7,0.55,63,Y,0.34,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,712.105244,g 700+,g 700-760,0.96252674,2.7 +,,749,,2,7,5,36,2.7,,62,Y,,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,680.526298,f 640-700,f 640-700,0.96252674,2.7 +8,4,769,9,2,7,3,48,2.7,0.84,66,Y,-0.44,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.999974,g 700+,i 820+,0.96252674,2.7 +1,1,788,1,1,3,4,23,2.7,-2.15,69,Y,-2.62,F,7,F,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,475.263149,c 460-520,c 460-520,0.96252674,2.7 +4,4,825,5,2,7,3,32,2.7,-0.24,51,Y,-0.48,P,2,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,5,834,4,2,7,1,37.5,2.7,-0.42,62,Y,-0.23,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.2105075,g 700+,g 700-760,0.96252674,2.7 +,,839,,2,7,,18.3,2.7,0.1,66,Y,0,P,7,P,94,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,401.0526259,b 400-460,b 400-460,0.96252674,2.7 +4,1,841,4,2,2,4,36,2.7,-0.31,67,Y,-1.58,F,7,P,95,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,680.526298,f 640-700,f 640-700,0.96252674,2.7 +4,3,870,4,2,7,1,37,2.7,-0.39,63,Y,-0.83,P,2,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +1,1,959,1,1,2,4,35,2.7,-1.57,68,Y,-1.58,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,664.736825,f 640-700,f 640-700,0.96252674,2.7 +10,10,1056,10,2,7,3,37,2.7,1.89,64,Y,1.91,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +1,2,1073,2,1,3,3,27,2.7,-1.21,69,Y,-1.19,P,2,P,94,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +5,3,1074,5,2,7,3,30.5,2.7,-0.02,62,Y,-0.67,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +,,1095,,2,7,,29,2.7,1.14,67,Y,1.35,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,569.999987,d 520-580,d 520-580,0.96252674,2.7 +9,9,1129,9,2,6,3,40,2.7,1.03,68,Y,1.06,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +5,8,1149,6,1,7,1,40,2.7,0.06,66,Y,0.68,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +6,5,1166,6,1,7,3,36,2.7,0.07,67,Y,-0.21,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +4,6,1207,5,2,7,3,39,2.7,-0.2,67,Y,0.09,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +,,1216,,2,3,4,29,2.7,,50,X,,F,7,P,96,2,4,-43,male,1,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,569.999987,d 520-580,d 520-580,0.96252674,2.7 +2,5,1238,2,1,7,3,38,2.7,-0.98,52,Y,-0.23,P,7,P,94,1,5,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +5,5,1251,5,1,3,6,29,2.7,-0.04,69,Y,-0.05,P,2,P,95,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,569.999987,d 520-580,d 520-580,0.96252674,2.7 +9,7,1274,9,2,3,6,30,2.7,1.14,64,Y,0.29,P,7,P,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,585.78946,e 580-640,e 580-640,0.96252674,2.7 +6,6,1329,6,2,7,1,44,2.7,0.22,66,Y,0.13,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +5,4,1331,6,1,7,3,27.5,2.7,0,53,Y,-0.39,F,2,F,95,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,546.3157775,d 520-580,d 520-580,0.96252674,2.7 +4,3,1391,5,1,7,4,39,2.7,-0.22,65,Y,-0.6,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.894717,g 700+,g 700-760,0.96252674,2.7 +3,2,1421,4,2,7,1,44,2.7,-0.45,67,Y,-0.98,F,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +4,2,1513,4,1,3,4,28,2.7,-0.43,62,Y,-1.06,F,2,P,94,2,2,-60,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,554.210514,d 520-580,d 520-580,0.96252674,2.7 +7,7,1550,7,2,7,4,31,2.7,0.48,41,Y,0.27,P,2,P,95,1,2,-39,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,601.578933,e 580-640,e 580-640,0.96252674,2.7 +5,7,1572,5,2,7,3,38,2.7,-0.03,65,Y,0.3,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +8,7,1607,8,2,7,1,34,2.7,0.64,59,Y,0.49,P,7,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +2,1,1609,2,2,7,3,35,2.7,-1.1,69,Y,-1.39,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +3,3,1651,4,2,7,3,37,2.7,-0.49,68,Y,-0.78,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +,,1770,,2,7,,27,2.7,0.31,67,Y,-1.1,F,7,F,94,2,1,-60,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,,538.421041,d 520-580,d 520-580,0.96252674,2.7 +1,2,1778,1,1,3,3,27,2.7,-1.9,67,Y,-1.27,F,7,P,96,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +3,3,1803,3,2,7,4,34,2.7,-0.52,64,Y,-0.62,P,7,P,95,2,2,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,648.947352,f 640-700,f 640-700,0.96252674,2.7 +,,1823,,1,7,,21,2.7,-0.24,68,Y,-0.85,P,2,P,95,2,3,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,443.684203,b 400-460,b 400-460,0.96252674,2.7 +3,3,1851,4,2,7,3,36,2.7,-0.5,63,Y,-0.82,F,2,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +7,9,1949,7,1,7,4,40,2.7,0.37,60,Y,0.98,P,7,P,95,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +3,5,1960,3,1,3,3,36,2.7,-0.68,63,Y,-0.28,P,7,P,94,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,1,1977,2,1,7,5,33,2.7,-1.1,64,Y,-1.58,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,633.157879,e 580-640,e 580-640,0.96252674,2.7 +6,8,1983,6,2,7,1,40,2.7,0.22,61,Y,0.74,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +1,1,2020,1,2,4,4,32,2.7,-1.31,67,Y,-1.73,P,7,P,94,1,1,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,3,2040,4,1,7,3,37.5,2.7,-0.28,67,Y,-0.64,F,7,P,96,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,704.2105075,g 700+,g 700-760,0.96252674,2.7 +8,8,2098,8,1,7,3,32.5,2.7,0.78,53,Y,0.55,P,7,P,95,2,3,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +,,2114,9,2,7,1,24.3,2.7,1.25,64,Y,,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,495.7894639,c 460-520,c 460-520,0.96252674,2.7 +9,7,2161,9,2,7,3,43,2.7,1.2,69,Y,0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,791.052609,g 700+,h 760-820,0.96252674,2.7 +10,10,2170,10,2,7,3,39,2.7,1.63,64,Y,1.86,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,2,2186,2,2,7,1,44,2.7,-0.98,66,Y,-1.29,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +4,4,2228,5,2,3,6,26,2.7,-0.1,68,Y,-0.5,F,7,F,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,522.631568,d 520-580,d 520-580,0.96252674,2.7 +7,8,2230,7,2,7,3,36,2.7,0.39,67,Y,0.75,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +8,3,2239,8,2,7,3,39,2.7,0.57,68,Y,-0.84,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +5,4,2240,6,2,7,1,35,2.7,0.05,64,Y,-0.33,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,664.736825,f 640-700,f 640-700,0.96252674,2.7 +9,9,2263,9,1,7,3,40,2.7,1.05,67,Y,1.29,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +7,4,2292,7,2,7,1,42,2.7,0.37,67,Y,-0.36,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +3,3,2302,3,2,7,2,35,2.7,-0.56,68,Y,-0.75,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +5,4,2318,5,2,7,3,32,2.7,-0.03,60,Y,-0.38,P,7,P,95,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +3,2,2327,3,2,7,2,32,2.7,-0.66,69,Y,-0.97,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.368406,e 580-640,e 580-640,0.96252674,2.7 +1,1,2332,1,1,7,3,37,2.7,-1.4,68,Y,-1.65,F,7,P,96,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +1,1,2338,1,1,3,1,23,2.7,-1.31,64,Y,-1.65,P,7,P,94,1,2,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,475.263149,c 460-520,c 460-520,0.96252674,2.7 +6,3,2382,6,2,7,1,32,2.7,0.19,68,Y,-0.84,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,617.368406,e 580-640,e 580-640,0.96252674,2.7 +10,10,2436,10,2,7,3,37,2.7,2.09,58,Y,1.8,P,7,P,94,1,5,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +3,1,2445,4,1,7,3,42,2.7,-0.51,65,Y,-1.36,F,7,F,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +8,8,2493,8,1,7,2,32,2.7,0.74,69,Y,0.61,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.368406,e 580-640,e 580-640,0.96252674,2.7 +5,9,2528,5,1,7,3,34,2.7,-0.12,67,Y,1.05,P,7,P,94,1,,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,5,2557,5,2,7,3,39,2.7,-0.17,66,Y,-0.06,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +6,6,2597,6,2,7,3,33.5,2.7,0.18,67,Y,0.26,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.0526155,f 640-700,f 640-700,0.96252674,2.7 +,,2659,,2,7,,23,2.7,0.35,59,Y,0.2,P,7,P,95,2,,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,475.263149,c 460-520,c 460-520,0.96252674,2.7 +5,4,2664,5,1,7,2,32.5,2.7,-0.17,68,Y,-0.55,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +1,2,2685,2,2,7,3,36,2.7,-1.27,64,Y,-0.99,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,3,2708,3,2,7,3,39,2.7,-0.66,66,Y,-0.66,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +6,1,2709,6,2,7,3,26.5,2.7,0.16,64,Y,-1.48,P,7,P,94,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,530.5263045,d 520-580,d 520-580,0.96252674,2.7 +2,1,2777,2,2,3,1,30,2.7,-1.07,68,Y,-1.54,F,7,F,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,585.78946,e 580-640,e 580-640,0.96252674,2.7 +3,5,2794,3,2,3,1,31,2.7,-0.58,66,Y,-0.21,P,7,P,95,2,2,-59,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,601.578933,e 580-640,e 580-640,0.96252674,2.7 +10,8,2912,10,2,7,2,31,2.7,1.75,58,Y,0.59,P,2,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +,,3066,9,2,7,5,39,2.7,1.12,60,Y,,P,7,P,94,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,727.894717,g 700+,g 700-760,0.96252674,2.7 +1,1,3075,1,1,3,3,27,2.7,-1.65,68,Y,-1.54,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +8,5,3077,8,2,7,1,42,2.7,0.74,68,Y,-0.04,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +4,2,3103,5,2,4,1,40,2.7,-0.21,66,Y,-0.88,F,2,F,95,1,4,-64,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +10,8,3129,10,2,7,1,28.5,2.7,1.44,68,Y,0.69,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,562.1052505,d 520-580,d 520-580,0.96252674,2.7 +8,8,3188,8,2,7,2,38,2.7,0.68,64,Y,0.82,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,712.105244,g 700+,g 700-760,0.96252674,2.7 +6,4,3255,7,2,7,2,31,2.7,0.25,60,Y,-0.47,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +4,4,3288,5,2,7,2,34,2.7,-0.29,68,Y,-0.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +4,2,3313,4,2,7,3,38,2.7,-0.35,66,Y,-0.99,P,2,P,95,1,2,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +7,8,3323,7,1,7,1,41,2.7,0.47,64,Y,0.64,P,2,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,2,3354,1,2,7,3,34.5,2.7,-1.34,66,Y,-0.91,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +7,8,3362,7,2,7,3,34.5,2.7,0.39,66,Y,0.61,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +1,1,3410,1,2,3,3,23,2.7,-1.39,68,Y,-1.73,F,7,F,95,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,475.263149,c 460-520,c 460-520,0.96252674,2.7 +5,6,3442,5,2,7,2,34.5,2.7,-0.16,69,Y,0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +3,7,3471,3,2,7,3,42,2.7,-0.67,60,Y,0.44,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +6,7,3521,6,2,7,3,38,2.7,0.12,67,Y,0.43,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +8,2,3631,8,2,7,3,33.3,2.7,0.63,65,Y,-1.21,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,637.8947209,e 580-640,e 580-640,0.96252674,2.7 +8,9,3724,8,2,7,5,44,2.7,0.82,68,Y,0.86,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,806.842082,g 700+,h 760-820,0.96252674,2.7 +10,9,3757,10,1,7,3,24.3,2.7,1.57,55,Y,1.26,P,2,P,95,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,495.7894639,c 460-520,c 460-520,0.96252674,2.7 +4,3,3759,4,2,7,1,43,2.7,-0.39,67,Y,-0.54,F,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,791.052609,g 700+,h 760-820,0.96252674,2.7 +5,8,3770,5,2,7,4,37,2.7,-0.07,66,Y,0.68,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,696.315771,f 640-700,f 640-700,0.96252674,2.7 +8,8,3780,8,1,7,3,42,2.7,0.77,54,Y,0.8,P,2,P,96,2,3,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +7,7,3825,8,2,7,3,34.5,2.7,0.53,64,Y,0.45,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +1,4,3867,2,1,3,6,32,2.7,-1.04,66,Y,-0.46,P,7,P,94,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,617.368406,e 580-640,e 580-640,0.96252674,2.7 +,,3869,,1,7,6,39,2.7,,65,Y,,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,727.894717,g 700+,g 700-760,0.96252674,2.7 +8,9,3882,9,2,7,3,32.5,2.7,0.87,68,Y,0.99,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +3,1,3902,4,2,7,3,30,2.7,-0.47,64,Y,-1.5,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +4,5,3907,5,1,7,2,39,2.7,-0.28,69,Y,-0.28,F,7,P,96,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,727.894717,g 700+,g 700-760,0.96252674,2.7 +3,2,3913,3,2,4,5,36,2.7,-0.81,68,Y,-1.19,P,7,P,94,1,5,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,680.526298,f 640-700,f 640-700,0.96252674,2.7 +6,6,3961,6,2,7,2,33,2.7,0.16,65,Y,0.13,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +3,5,3966,4,1,3,1,28,2.7,-0.5,61,Y,-0.08,P,7,P,94,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,554.210514,d 520-580,d 520-580,0.96252674,2.7 +4,6,3970,5,2,4,3,32,2.7,-0.22,60,Y,0,P,2,P,94,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +1,1,3986,1,2,3,5,29.5,2.7,-1.84,69,Y,-2.2,F,7,P,95,1,5,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,577.8947235,d 520-580,d 520-580,0.96252674,2.7 +8,7,3987,8,1,7,1,45,2.7,0.73,66,Y,0.31,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.631555,g 700+,i 820+,0.96252674,2.7 +5,4,4000,5,1,3,4,28,2.7,-0.07,50,Y,-0.27,P,2,P,95,2,3,-48,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,554.210514,d 520-580,d 520-580,0.96252674,2.7 +9,10,4013,9,1,7,6,33,2.7,1.16,63,Y,1.52,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,633.157879,e 580-640,e 580-640,0.96252674,2.7 +3,3,4037,3,2,7,4,46,2.7,-0.7,69,Y,-0.62,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,838.421028,g 700+,i 820+,0.96252674,2.7 +6,6,4063,6,1,7,1,39,2.7,0.21,49,Y,0.1,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +1,1,4092,1,1,3,6,23.3,2.7,-1.56,67,Y,-1.95,F,7,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,479.9999909,c 460-520,c 460-520,0.96252674,2.7 +9,9,4121,9,2,7,6,29,2.7,0.93,40,Y,0.97,P,7,P,94,1,3,-33,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,569.999987,d 520-580,d 520-580,0.96252674,2.7 +3,2,4128,3,1,3,1,29,2.7,-0.66,67,Y,-1.18,P,2,P,95,1,3,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,569.999987,d 520-580,d 520-580,0.96252674,2.7 +3,4,4130,3,1,3,1,36,2.7,-0.62,61,Y,-0.47,P,7,P,94,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +10,10,4167,10,2,7,3,37,2.7,2.22,64,Y,2.22,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +10,10,4201,10,2,7,1,42,2.7,1.77,66,Y,2.02,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +4,3,4220,5,1,7,2,30,2.7,-0.23,66,Y,-0.87,F,7,F,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,585.78946,e 580-640,e 580-640,0.96252674,2.7 +10,9,4233,10,1,7,3,34,2.7,1.51,65,Y,1.11,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +2,1,4346,2,2,7,1,39,2.7,-0.96,63,Y,-1.54,P,,P,,2,4,,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +4,6,4356,4,2,7,4,39,2.7,-0.43,63,Y,0.06,P,7,P,94,2,2,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.894717,g 700+,g 700-760,0.96252674,2.7 +7,5,4361,7,2,7,2,34,2.7,0.34,68,Y,-0.12,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +9,10,4375,9,2,7,3,32,2.7,1.16,68,Y,1.55,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +8,7,4383,8,1,7,3,40,2.7,0.8,67,Y,0.36,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +4,3,4444,5,2,7,2,31,2.7,-0.22,61,Y,-0.65,F,7,P,95,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +2,1,4459,2,1,2,1,37,2.7,-1.01,65,Y,-1.49,P,2,P,96,1,2,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +10,10,4487,10,1,7,3,48,2.7,1.77,62,Y,1.59,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.999974,g 700+,i 820+,0.96252674,2.7 +4,3,4516,4,2,7,3,39,2.7,-0.28,69,Y,-0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +4,4,4659,5,2,3,4,39,2.7,-0.22,66,Y,-0.28,P,7,P,94,1,2,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,727.894717,g 700+,g 700-760,0.96252674,2.7 +8,8,4679,8,1,4,5,36,2.7,0.71,68,Y,0.75,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,2,4699,5,1,7,1,30,2.7,-0.01,66,Y,-0.93,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,585.78946,e 580-640,e 580-640,0.96252674,2.7 +7,6,4725,7,2,7,3,44,2.7,0.35,69,Y,0.13,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.842082,g 700+,h 760-820,0.96252674,2.7 +10,9,4731,10,1,7,1,39,2.7,1.83,62,Y,1.25,P,2,P,94,1,1,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,2,4733,2,1,3,3,25,2.7,-1.08,58,Y,-1.3,F,7,F,95,2,1,-51,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,506.842095,c 460-520,c 460-520,0.96252674,2.7 +5,4,4734,5,1,7,3,35,2.7,-0.02,70,Y,-0.46,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +5,4,4776,6,2,3,3,32,2.7,0.01,69,Y,-0.36,F,7,P,95,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +5,6,4840,5,1,7,1,41,2.7,0.03,67,Y,0.15,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +4,4,4854,5,2,7,4,33.5,2.7,-0.23,61,Y,-0.48,F,7,P,96,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,641.0526155,f 640-700,f 640-700,0.96252674,2.7 +1,3,4869,2,2,7,6,36.7,2.7,-1.14,61,Y,-0.81,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,691.5789291,f 640-700,f 640-700,0.96252674,2.7 +8,7,4879,8,1,6,4,40,2.7,0.75,67,Y,0.45,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +4,2,4906,4,2,7,1,30,2.7,-0.24,57,Y,-0.92,P,2,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,585.78946,e 580-640,e 580-640,0.96252674,2.7 +6,6,4940,7,2,7,1,37,2.7,0.32,64,Y,0.15,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +10,8,4954,10,2,7,2,31,2.7,1.89,67,Y,0.79,P,7,P,95,2,5,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +5,6,4998,6,2,8,3,33,2.7,0.03,47,Y,0.06,P,2,P,95,2,3,-45,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,2,5096,2,1,3,6,22,2.7,-1.11,68,Y,-1.07,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,459.473676,b 400-460,b 400-460,0.96252674,2.7 +6,6,5168,7,2,7,3,36,2.7,0.29,67,Y,0.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +6,3,5188,6,2,7,3,36,2.7,0.07,51,Y,-0.72,P,2,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +9,9,5200,9,1,3,3,25,2.7,0.97,66,Y,0.89,P,7,P,94,1,1,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,506.842095,c 460-520,c 460-520,0.96252674,2.7 +2,1,5221,2,1,4,1,32,2.7,-1.04,69,Y,-1.52,F,6,P,95,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,617.368406,e 580-640,e 580-640,0.96252674,2.7 +3,2,5258,3,1,7,3,35,2.7,-0.57,69,Y,-1.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,1,5372,2,1,6,3,36,2.7,-1.28,67,Y,-1.36,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,5,5417,4,2,7,2,33,2.7,-0.51,69,Y,-0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +8,5,5431,8,2,7,3,39,2.7,0.61,67,Y,-0.25,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +6,5,5467,6,2,7,4,36,2.7,0.26,67,Y,0,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,680.526298,f 640-700,f 640-700,0.96252674,2.7 +4,3,5472,5,2,7,2,30,2.7,-0.28,66,Y,-0.9,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,585.78946,e 580-640,e 580-640,0.96252674,2.7 +4,5,5531,5,2,7,3,39,2.7,-0.23,68,Y,-0.26,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +1,2,5547,1,1,3,1,34,2.7,-1.47,68,Y,-1.32,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +9,8,5577,9,2,7,3,33,2.7,1.04,67,Y,0.65,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,1,5609,1,2,3,4,39,2.7,-1.38,69,Y,-1.56,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,727.894717,g 700+,g 700-760,0.96252674,2.7 +3,5,5620,3,2,7,3,39,2.7,-0.53,66,Y,-0.25,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +7,6,5623,7,2,6,6,29,2.7,0.51,64,Y,0.04,P,7,P,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,569.999987,d 520-580,d 520-580,0.96252674,2.7 +4,3,5633,4,1,7,4,30.5,2.7,-0.32,48,Y,-0.73,F,2,P,95,2,3,-46,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +7,5,5664,7,2,7,2,31,2.7,0.39,69,Y,-0.28,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +8,5,5676,8,2,7,5,47,2.7,0.84,64,Y,0.01,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,854.210501,g 700+,i 820+,0.96252674,2.7 +6,6,5745,6,1,7,3,38,2.7,0.11,66,Y,0.1,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +6,4,5814,6,2,7,3,44,2.7,0.1,66,Y,-0.41,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.842082,g 700+,h 760-820,0.96252674,2.7 +8,6,5823,8,2,7,5,43,2.7,0.65,68,Y,0.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,791.052609,g 700+,h 760-820,0.96252674,2.7 +5,5,5843,6,1,7,3,41,2.7,0.01,68,Y,-0.2,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,1,5875,1,2,7,2,33,2.7,-1.57,64,Y,-1.55,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +6,5,5923,7,2,7,2,41,2.7,0.21,66,Y,-0.31,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,1,5925,1,2,7,3,41,2.7,-1.32,68,Y,-1.64,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +5,6,5942,6,1,2,6,31,2.7,0.14,65,Y,0.09,F,2,P,95,1,5,-63,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,1,601.578933,e 580-640,e 580-640,0.96252674,2.7 +7,7,5991,7,2,7,4,37,2.7,0.52,67,Y,0.51,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,696.315771,f 640-700,f 640-700,0.96252674,2.7 +5,3,6077,6,2,7,3,37,2.7,0.03,68,Y,-0.86,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +9,9,6171,9,2,3,3,38,2.7,1.17,66,Y,1.13,P,7,P,94,1,2,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +9,9,6212,9,1,5,4,34,2.7,0.89,63,Y,1.02,P,7,P,94,1,2,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,648.947352,f 640-700,f 640-700,0.96252674,2.7 +2,4,6218,3,2,7,3,36,2.7,-0.76,67,Y,-0.53,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +7,7,6229,7,2,7,3,43,2.7,0.37,67,Y,0.48,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,791.052609,g 700+,h 760-820,0.96252674,2.7 +7,5,6230,7,2,7,3,39,2.7,0.37,69,Y,-0.13,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +3,1,6297,3,2,7,3,34,2.7,-0.6,67,Y,-1.34,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +1,1,6306,1,1,7,3,22.5,2.7,-1.65,68,Y,-2.02,F,7,P,96,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,467.3684125,c 460-520,c 460-520,0.96252674,2.7 +5,6,6351,5,1,7,3,36,2.7,-0.07,65,Y,0.05,P,6,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,1,6377,3,2,7,3,42,2.7,-0.81,61,Y,-1.37,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +8,10,6378,8,2,7,3,35,2.7,0.82,66,Y,1.44,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +6,7,6513,6,1,7,3,38,2.7,0.17,67,Y,0.46,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +6,3,6553,6,2,6,3,34,2.7,0.19,65,Y,-0.65,P,7,P,93,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +1,2,6585,2,2,7,2,33,2.7,-1.23,69,Y,-1.13,P,2,P,95,2,3,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +9,7,6654,9,2,7,3,30,2.7,0.9,62,Y,0.28,F,2,F,96,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +6,8,6668,6,1,7,2,32,2.7,0.13,69,Y,0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,4,6689,5,1,3,6,35,2.7,-0.21,55,Y,-0.31,P,7,P,94,1,1,-48,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,1,6770,1,1,3,3,33,2.7,-1.63,69,Y,-1.87,P,7,P,94,1,1,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +8,6,6784,8,2,7,2,34,2.7,0.59,66,Y,-0.04,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +3,3,6839,3,1,3,4,33,2.7,-0.52,67,Y,-0.53,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,633.157879,e 580-640,e 580-640,0.96252674,2.7 +8,6,6866,8,1,3,2,24,2.7,0.73,55,Y,0,P,7,P,94,2,3,-48,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,491.052622,c 460-520,c 460-520,0.96252674,2.7 +1,1,6899,1,1,3,1,33,2.7,-1.28,69,Y,-1.46,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,633.157879,e 580-640,e 580-640,0.96252674,2.7 +6,7,6935,6,2,7,3,34.5,2.7,0.22,68,Y,0.37,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +6,6,6948,6,2,7,3,30,2.7,0.06,64,Y,0.22,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +2,6,6979,3,1,3,2,22,2.7,-0.76,69,Y,0.04,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,459.473676,b 400-460,b 400-460,0.96252674,2.7 +6,7,7048,6,1,7,1,30,2.7,0.22,51,Y,0.45,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,585.78946,e 580-640,e 580-640,0.96252674,2.7 +10,10,7083,10,2,7,1,39,2.7,1.43,58,Y,1.71,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +7,6,7093,7,2,3,1,42,2.7,0.57,69,Y,0.14,P,7,P,94,1,5,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +6,5,7109,6,2,7,2,34,2.7,0.16,53,Y,-0.27,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +1,1,7118,1,1,3,4,13.5,2.7,-1.57,62,Y,-3,P,7,P,94,1,3,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,325.2631555,a under 400,a under 400,0.96252674,2.7 +1,1,7135,1,2,7,2,31,2.7,-1.28,69,Y,-1.31,F,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +3,4,7168,4,1,7,3,37,2.7,-0.51,66,Y,-0.45,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +,,7169,,1,7,1,39,2.7,,61,Y,,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +5,2,7197,5,2,7,3,31,2.7,-0.1,67,Y,-1.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +9,7,7199,9,2,7,3,39,2.7,1.1,68,Y,0.5,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +8,9,7311,8,2,7,1,37,2.7,0.82,62,Y,1.03,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +9,10,7364,9,1,7,3,42,2.7,1.07,66,Y,1.34,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +1,1,7403,1,1,3,3,27,2.7,-1.83,67,Y,-1.92,F,7,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +,,7441,2,1,7,3,43,2.7,-0.98,68,Y,,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,791.052609,g 700+,h 760-820,0.96252674,2.7 +9,8,7446,9,2,7,1,41,2.7,0.97,66,Y,0.61,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +8,9,7451,8,1,7,3,40,2.7,0.75,67,Y,0.9,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +,,7467,10,2,7,4,33,2.7,1.41,64,Y,,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,633.157879,e 580-640,e 580-640,0.96252674,2.7 +3,3,7484,4,1,7,3,37,2.7,-0.44,68,Y,-0.6,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +,,7485,,1,3,6,27,2.7,,56,Y,,F,7,P,95,1,2,-49,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,538.421041,d 520-580,d 520-580,0.96252674,2.7 +3,4,7528,3,1,7,3,34.7,2.7,-0.53,61,Y,-0.47,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.9999831,f 640-700,f 640-700,0.96252674,2.7 +9,7,7543,9,2,7,6,30,2.7,0.92,66,Y,0.47,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,585.78946,e 580-640,e 580-640,0.96252674,2.7 +4,2,7544,5,1,3,1,27,2.7,-0.17,63,Y,-0.93,P,7,P,94,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,538.421041,d 520-580,d 520-580,0.96252674,2.7 +7,7,7580,7,1,7,2,30.3,2.7,0.3,68,Y,0.32,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,590.5263019,e 580-640,e 580-640,0.96252674,2.7 +7,7,7609,7,1,7,1,45,2.7,0.46,67,Y,0.52,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.631555,g 700+,i 820+,0.96252674,2.7 +9,9,7641,9,2,7,3,38,2.7,1.15,63,Y,1.1,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +9,7,7742,9,1,7,3,35,2.7,0.88,47,Y,0.53,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +4,3,7794,5,1,7,4,39,2.7,-0.21,59,Y,-0.82,P,2,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.894717,g 700+,g 700-760,0.96252674,2.7 +10,10,7798,10,2,6,4,29,2.7,2.11,55,Y,2.13,P,7,P,95,2,4,-48,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,569.999987,d 520-580,d 520-580,0.96252674,2.7 +1,1,7803,1,2,3,3,32,2.7,-1.73,68,Y,-2.16,F,7,F,95,2,3,-61,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +6,2,7809,7,2,4,6,18,2.7,0.28,62,Y,-1.25,P,7,P,94,1,3,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,396.315784,a under 400,a under 400,0.96252674,2.7 +2,1,7821,2,1,3,1,28,2.7,-0.96,69,Y,-1.36,F,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,554.210514,d 520-580,d 520-580,0.96252674,2.7 +7,8,7897,7,2,7,3,38,2.7,0.51,61,Y,0.7,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +,,7919,1,2,3,3,28,2.7,-1.69,59,Y,,F,7,P,95,1,3,-52,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,554.210514,d 520-580,d 520-580,0.96252674,2.7 +10,10,7942,10,1,7,3,33,2.7,1.59,47,Y,1.9,P,7,P,94,1,4,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +5,6,7996,6,1,3,2,29,2.7,0.03,60,Y,0.05,P,2,P,95,2,4,-58,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,569.999987,d 520-580,d 520-580,0.96252674,2.7 +4,5,8009,4,2,7,2,36,2.7,-0.3,68,Y,-0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,2,8025,4,2,3,1,34,2.7,-0.46,68,Y,-0.88,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +4,3,8030,4,2,2,4,41,2.7,-0.45,67,Y,-0.83,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,759.473663,g 700+,g 700-760,0.96252674,2.7 +5,4,8080,5,1,7,3,40,2.7,-0.14,63,Y,-0.39,P,2,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +5,6,8095,5,2,7,1,45,2.7,0,69,Y,0.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.631555,g 700+,i 820+,0.96252674,2.7 +6,6,8096,6,2,7,3,36,2.7,0.2,69,Y,-0.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,7,8102,5,2,7,1,44,2.7,-0.04,59,Y,0.34,P,7,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +2,3,8111,2,1,7,3,30.7,2.7,-0.87,67,Y,-0.62,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,596.8420911,e 580-640,e 580-640,0.96252674,2.7 +1,1,8115,1,2,3,1,27.5,2.7,-1.76,68,Y,-1.84,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,546.3157775,d 520-580,d 520-580,0.96252674,2.7 +10,10,8125,10,2,7,2,35,2.7,1.85,68,Y,2.56,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +10,7,8153,10,2,7,3,42,2.7,1.43,68,Y,0.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +7,8,8170,7,2,7,1,43,2.7,0.57,65,Y,0.61,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,791.052609,g 700+,h 760-820,0.96252674,2.7 +1,3,8222,1,1,6,3,33,2.7,-1.51,68,Y,-0.86,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,1,8241,1,1,7,4,23.7,2.7,-2.27,59,Y,-1.47,P,7,P,95,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,486.3157801,c 460-520,c 460-520,0.96252674,2.7 +6,4,8265,7,2,7,6,31,2.7,0.31,64,Y,-0.37,P,2,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,601.578933,e 580-640,e 580-640,0.96252674,2.7 +3,2,8276,3,2,7,3,38,2.7,-0.52,63,Y,-1.13,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +4,3,8277,4,2,7,4,37,2.7,-0.29,59,Y,-0.62,F,7,P,95,2,2,-52,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,696.315771,f 640-700,f 640-700,0.96252674,2.7 +8,7,8341,8,2,2,4,42,2.7,0.81,66,Y,0.43,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,775.263136,g 700+,h 760-820,0.96252674,2.7 +2,2,8429,2,2,7,1,40,2.7,-0.87,66,Y,-0.91,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +2,2,8441,2,2,7,2,30,2.7,-1.01,52,Y,-1.2,P,7,P,94,1,5,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,585.78946,e 580-640,e 580-640,0.96252674,2.7 +5,5,8536,5,2,7,3,44,2.7,-0.17,59,Y,-0.19,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.842082,g 700+,h 760-820,0.96252674,2.7 +8,8,8553,8,2,7,2,32.5,2.7,0.61,67,Y,0.75,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +,,8564,8,2,7,1,37,2.7,0.63,67,Y,,P,2,P,96,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +5,7,8566,5,1,7,3,35,2.7,-0.03,69,Y,0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,2,8668,2,1,6,3,32.3,2.7,-1.16,62,Y,-1.19,F,7,F,95,2,3,-55,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,622.1052479,e 580-640,e 580-640,0.96252674,2.7 +10,10,8675,10,2,7,3,39,2.7,2,67,Y,1.91,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,2,8743,2,2,7,3,37,2.7,-1.07,67,Y,-1.03,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +2,3,8883,2,1,7,1,40,2.7,-0.96,68,Y,-0.61,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +6,2,8884,6,2,7,1,36,2.7,0.21,67,Y,-1.32,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +8,9,8891,8,2,7,3,36,2.7,0.75,68,Y,1.26,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,4,8938,3,2,7,1,44,2.7,-0.75,63,Y,-0.49,P,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +6,2,9007,6,2,7,2,29.5,2.7,0.05,66,Y,-1,P,7,P,94,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,577.8947235,d 520-580,d 520-580,0.96252674,2.7 +9,8,9078,9,2,7,3,36,2.7,1.09,67,Y,0.86,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,5,9084,6,1,3,1,34,2.7,0.06,61,Y,-0.15,P,7,P,94,1,4,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +1,1,9107,1,2,7,3,32,2.7,-1.34,69,Y,-1.69,F,7,F,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +9,9,9111,9,2,7,3,35.5,2.7,1.17,66,Y,1.06,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.6315615,f 640-700,f 640-700,0.96252674,2.7 +5,4,9124,5,2,7,3,33,2.7,-0.03,65,Y,-0.3,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +2,3,9129,2,2,7,3,32,2.7,-0.88,65,Y,-0.72,F,7,F,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +10,9,9135,10,1,7,3,33,2.7,1.35,64,Y,1.07,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +5,1,9155,5,1,3,6,20,2.7,-0.04,60,Y,-1.51,F,2,F,95,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,427.89473,b 400-460,b 400-460,0.96252674,2.7 +5,3,9160,6,2,7,3,34,2.7,0.01,48,Y,-0.75,P,2,P,95,2,2,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +1,1,9164,1,1,2,3,35.5,2.7,-1.58,66,Y,-1.45,P,7,P,94,1,1,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,672.6315615,f 640-700,f 640-700,0.96252674,2.7 +4,5,9175,5,2,7,3,35.5,2.7,-0.18,66,Y,-0.24,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.6315615,f 640-700,f 640-700,0.96252674,2.7 +8,7,9192,8,1,3,4,32,2.7,0.71,68,Y,0.54,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,617.368406,e 580-640,e 580-640,0.96252674,2.7 +10,9,9241,10,1,7,1,35,2.7,1.53,63,Y,1.19,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,664.736825,f 640-700,f 640-700,0.96252674,2.7 +4,4,9276,4,1,7,2,29,2.7,-0.33,67,Y,-0.58,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,569.999987,d 520-580,d 520-580,0.96252674,2.7 +3,2,9291,4,2,7,3,38,2.7,-0.45,67,Y,-1.13,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +4,4,9341,4,2,7,1,40,2.7,-0.24,66,Y,-0.29,P,7,P,95,2,5,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +6,4,9354,7,1,4,3,34,2.7,0.27,66,Y,-0.46,F,7,P,95,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +,,9361,,2,7,5,39,2.7,,64,Y,,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,727.894717,g 700+,g 700-760,0.96252674,2.7 +9,6,9369,9,2,7,4,38,2.7,0.9,67,Y,0.26,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,712.105244,g 700+,g 700-760,0.96252674,2.7 +8,7,9371,8,2,7,4,43,2.7,0.75,51,Y,0.5,P,7,P,94,1,4,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,791.052609,g 700+,h 760-820,0.96252674,2.7 +1,1,9393,1,2,7,3,31,2.7,-1.6,67,Y,-1.45,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +2,2,9450,2,2,6,3,26,2.7,-0.84,65,Y,-1.3,F,7,P,95,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,522.631568,d 520-580,d 520-580,0.96252674,2.7 +5,8,9467,5,2,7,3,28.5,2.7,-0.14,68,Y,0.57,P,2,P,95,2,5,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,562.1052505,d 520-580,d 520-580,0.96252674,2.7 +1,1,9512,1,1,4,4,33,2.7,-1.52,68,Y,-1.49,F,7,P,95,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,633.157879,e 580-640,e 580-640,0.96252674,2.7 +2,5,9556,2,2,7,5,41,2.7,-1.14,69,Y,0,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,1,9564,1,2,2,3,41,2.7,-1.57,66,Y,-1.87,F,7,F,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +8,5,9565,8,2,4,3,35,2.7,0.58,68,Y,-0.2,P,2,P,94,1,2,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +9,9,9637,9,2,7,3,37,2.7,1.2,64,Y,0.9,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +1,2,9746,1,1,7,4,40,2.7,-1.76,69,Y,-1.24,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +6,5,9772,6,2,7,4,37,2.7,0.14,67,Y,-0.19,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,1,9778,6,2,7,3,32,2.7,0.16,68,Y,-1.39,F,7,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,3,9811,5,2,7,1,43,2.7,-0.18,68,Y,-0.78,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,791.052609,g 700+,h 760-820,0.96252674,2.7 +4,5,9829,5,2,7,3,42,2.7,-0.19,68,Y,-0.18,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +,,9843,,1,7,1,35,2.7,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,664.736825,f 640-700,f 640-700,0.96252674,2.7 +2,1,9850,2,2,7,3,31,2.7,-1.04,67,Y,-1.95,F,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +10,10,9853,10,1,7,1,42,2.7,1.77,62,Y,1.84,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +4,5,9863,5,1,7,3,29,2.7,-0.24,56,Y,-0.03,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,569.999987,d 520-580,d 520-580,0.96252674,2.7 +3,2,9872,3,2,7,4,36,2.7,-0.52,69,Y,-1.27,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,6,9891,6,2,7,6,41,2.7,0.03,54,Y,0.17,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,759.473663,g 700+,g 700-760,0.96252674,2.7 +10,9,9894,10,2,7,3,27,2.7,1.59,58,Y,0.9,P,7,P,95,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +3,2,9907,4,2,2,4,33,2.7,-0.48,68,Y,-1.05,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,633.157879,e 580-640,e 580-640,0.96252674,2.7 +,,9943,10,1,7,5,33,2.7,1.88,68,Y,,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,633.157879,e 580-640,e 580-640,0.96252674,2.7 +9,10,9946,9,2,7,3,38,2.7,1.07,66,Y,1.32,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +5,4,9964,6,1,7,2,39,2.7,0.01,69,Y,-0.5,F,7,F,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,727.894717,g 700+,g 700-760,0.96252674,2.7 +3,2,10015,4,2,6,3,29.5,2.7,-0.43,68,Y,-1.16,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,577.8947235,d 520-580,d 520-580,0.96252674,2.7 +7,6,10073,8,2,7,3,46,2.7,0.56,66,Y,0.11,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,838.421028,g 700+,i 820+,0.96252674,2.7 +10,10,10080,10,2,7,1,42,2.7,1.44,64,Y,1.97,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +10,10,10106,10,2,7,2,33.5,2.7,2.32,67,Y,1.96,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.0526155,f 640-700,f 640-700,0.96252674,2.7 +1,2,10126,1,2,7,3,35,2.7,-1.58,61,Y,-1.15,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +3,4,10140,3,2,3,3,28,2.7,-0.59,62,Y,-0.3,P,7,P,94,1,3,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,554.210514,d 520-580,d 520-580,0.96252674,2.7 +2,3,10156,2,2,2,3,35.5,2.7,-0.89,64,Y,-0.67,P,7,P,94,1,2,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,672.6315615,f 640-700,f 640-700,0.96252674,2.7 +2,4,10212,2,2,7,1,32,2.7,-0.93,60,Y,-0.49,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,617.368406,e 580-640,e 580-640,0.96252674,2.7 +1,1,10215,1,2,3,2,18,2.7,-1.97,55,Y,-1.84,F,7,F,95,2,3,-48,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,396.315784,a under 400,a under 400,0.96252674,2.7 +6,7,10217,6,1,7,5,45,2.7,0.25,63,Y,0.32,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,822.631555,g 700+,i 820+,0.96252674,2.7 +1,1,10330,1,1,7,2,36,2.7,-1.4,57,Y,-1.32,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,680.526298,f 640-700,f 640-700,0.96252674,2.7 +4,4,10377,4,1,3,1,31,2.7,-0.36,66,Y,-0.38,P,7,P,95,,4,-59,female,,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,601.578933,e 580-640,e 580-640,0.96252674,2.7 +7,8,10449,7,2,7,2,38,2.7,0.51,67,Y,0.71,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,712.105244,g 700+,g 700-760,0.96252674,2.7 +6,6,10471,6,1,7,2,35,2.7,0.12,62,Y,0.1,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +9,6,10507,9,2,7,3,32.5,2.7,1.02,67,Y,0.08,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +3,4,10514,3,2,7,1,47,2.7,-0.72,60,Y,-0.53,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,854.210501,g 700+,i 820+,0.96252674,2.7 +2,1,10536,2,1,3,6,20,2.7,-0.93,69,Y,-1.69,F,2,P,96,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,427.89473,b 400-460,b 400-460,0.96252674,2.7 +8,10,10561,9,2,7,1,35,2.7,0.9,54,Y,1.72,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,1,10571,2,2,2,3,34.5,2.7,-1.27,68,Y,-1.6,F,7,P,95,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +2,1,10591,2,2,3,1,36,2.7,-0.98,67,Y,-2.13,P,7,P,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +6,8,10605,6,2,7,3,37,2.7,0.15,62,Y,0.8,P,2,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +1,1,10607,1,2,6,1,37,2.7,-2.5,63,Y,-1.89,P,2,P,96,2,4,-61,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,5,10615,6,1,7,1,37,2.7,0.21,59,Y,-0.12,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +9,9,10620,9,2,7,1,44,2.7,1.11,65,Y,1.15,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +8,7,10652,8,2,4,3,32,2.7,0.71,68,Y,0.5,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,4,10685,5,2,7,3,31,2.7,-0.2,67,Y,-0.48,F,2,F,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +4,7,10717,4,2,7,1,42,2.7,-0.28,54,Y,0.54,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +4,9,10718,4,1,7,2,32,2.7,-0.3,69,Y,1.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.368406,e 580-640,e 580-640,0.96252674,2.7 +1,1,10754,1,1,3,3,32,2.7,-1.77,68,Y,-1.79,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +8,7,10767,8,2,7,1,39,2.7,0.82,66,Y,0.35,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +1,3,10774,1,2,7,4,41,2.7,-1.92,61,Y,-0.82,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,759.473663,g 700+,g 700-760,0.96252674,2.7 +2,1,10791,2,2,7,4,45,2.7,-1.14,58,Y,-1.35,F,7,F,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,822.631555,g 700+,i 820+,0.96252674,2.7 +6,8,10793,6,2,6,3,25,2.7,0.23,67,Y,0.65,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,506.842095,c 460-520,c 460-520,0.96252674,2.7 +10,10,10798,10,1,7,4,40,2.7,1.62,66,Y,1.38,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +8,8,10827,8,2,7,3,45,2.7,0.77,65,Y,0.59,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.631555,g 700+,i 820+,0.96252674,2.7 +1,1,10852,2,2,7,3,39,2.7,-1.23,69,Y,-1.37,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,2,10872,2,1,3,4,29,2.7,-1.03,65,Y,-1.2,P,7,P,94,1,1,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,569.999987,d 520-580,d 520-580,0.96252674,2.7 +9,8,10928,9,2,7,1,41,2.7,1.15,65,Y,0.66,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +3,2,10952,4,1,3,1,27,2.7,-0.48,70,Y,-1.09,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,538.421041,d 520-580,d 520-580,0.96252674,2.7 +8,7,10993,8,1,7,1,34.5,2.7,0.81,66,Y,0.35,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +1,1,11027,1,2,4,6,26,2.7,-1.54,67,Y,-1.53,F,7,F,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,522.631568,d 520-580,d 520-580,0.96252674,2.7 +3,4,11040,4,2,7,3,41,2.7,-0.49,65,Y,-0.39,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +6,6,11163,6,2,7,1,41,2.7,0.23,64,Y,0.25,P,7,P,94,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +10,10,11220,10,2,7,1,40,2.7,1.61,68,Y,1.61,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +6,6,11224,6,2,6,1,34,2.7,0.09,69,Y,0.04,P,2,P,94,1,3,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +3,2,11243,3,2,7,1,29.5,2.7,-0.54,64,Y,-1.27,F,7,F,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,577.8947235,d 520-580,d 520-580,0.96252674,2.7 +9,7,11271,9,2,7,3,36,2.7,0.92,67,Y,0.47,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,2,11281,3,1,7,5,38,2.7,-0.56,68,Y,-0.89,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,712.105244,g 700+,g 700-760,0.96252674,2.7 +,,11313,,2,7,,24,2.7,1.39,65,Y,1.27,P,7,P,94,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,491.052622,c 460-520,c 460-520,0.96252674,2.7 +8,1,11321,8,2,7,1,44,2.7,0.63,70,Y,-1.98,P,2,P,96,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +4,3,11360,5,2,7,3,32.5,2.7,-0.23,66,Y,-0.78,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +7,7,11374,7,2,7,5,43,2.7,0.52,68,Y,0.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,791.052609,g 700+,h 760-820,0.96252674,2.7 +8,4,11390,8,2,7,2,33,2.7,0.57,66,Y,-0.35,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +5,8,11402,5,2,7,3,36,2.7,-0.17,69,Y,0.75,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +10,9,11461,10,2,7,3,38,2.7,1.35,66,Y,1.16,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +1,1,11476,1,1,3,1,28,2.7,-1.31,68,Y,-1.5,P,2,P,95,1,2,-66,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,554.210514,d 520-580,d 520-580,0.96252674,2.7 +1,1,11488,2,1,3,1,36,2.7,-1.21,68,Y,-1.41,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,3,11493,3,2,4,3,35,2.7,-0.67,60,Y,-0.64,P,7,P,94,1,3,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,1,11503,2,1,7,1,44,2.7,-1.26,60,Y,-1.35,F,7,F,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +10,10,11513,10,2,7,3,42,2.7,1.74,64,Y,2.16,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +6,3,11516,7,2,4,3,31,2.7,0.3,66,Y,-0.69,P,7,P,94,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +9,7,11519,9,2,7,3,37,2.7,0.97,66,Y,0.48,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +2,4,11548,2,2,7,1,42,2.7,-0.91,68,Y,-0.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +1,1,11549,1,1,3,3,34,2.7,-1.9,69,Y,-2.6,F,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,6,11560,5,2,7,3,44,2.7,-0.14,68,Y,0.19,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.842082,g 700+,h 760-820,0.96252674,2.7 +3,3,11576,3,1,7,1,34,2.7,-0.69,69,Y,-0.66,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +,,11584,,1,7,6,33,2.7,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,1,11610,1,1,7,3,33,2.7,-1.43,44,Y,-1.77,F,2,F,96,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +,,11655,,2,7,5,40,2.7,,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,743.68419,g 700+,g 700-760,0.96252674,2.7 +10,8,11700,10,2,7,3,45,2.7,1.42,66,Y,0.61,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.631555,g 700+,i 820+,0.96252674,2.7 +2,2,11756,2,1,7,1,44,2.7,-0.89,68,Y,-0.97,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +2,1,11783,3,1,2,3,30,2.7,-0.73,65,Y,-1.53,P,7,P,94,1,1,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +1,1,11872,1,1,3,3,31,2.7,-1.79,70,Y,-1.77,F,7,P,95,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +10,10,11874,10,2,7,1,27,2.7,1.41,61,Y,1.44,P,7,P,95,2,5,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,538.421041,d 520-580,d 520-580,0.96252674,2.7 +,,11950,,1,3,1,32,2.7,,68,Y,,P,7,P,94,1,1,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,4,11969,4,2,7,5,43,2.7,-0.46,61,Y,-0.49,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,791.052609,g 700+,h 760-820,0.96252674,2.7 +2,1,12038,2,2,7,2,35,2.7,-0.96,61,Y,-1.3,F,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,1,12080,1,2,3,1,23,2.7,-1.57,66,Y,-1.8,F,7,P,95,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,475.263149,c 460-520,c 460-520,0.96252674,2.7 +9,6,12142,9,2,7,3,41,2.7,0.98,63,Y,0.1,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,2,12207,1,1,3,1,28,2.7,-1.3,69,Y,-1.31,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,554.210514,d 520-580,d 520-580,0.96252674,2.7 +4,2,12221,4,2,7,4,33,2.7,-0.33,68,Y,-0.99,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,633.157879,e 580-640,e 580-640,0.96252674,2.7 +2,1,12233,3,2,7,3,39,2.7,-0.84,65,Y,-1.35,F,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +9,9,12277,9,2,7,3,41,2.7,0.89,68,Y,0.99,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +2,3,12292,3,1,7,2,34.5,2.7,-0.76,64,Y,-0.75,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +5,4,12297,5,2,7,2,30,2.7,-0.12,68,Y,-0.52,P,2,P,96,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,585.78946,e 580-640,e 580-640,0.96252674,2.7 +1,2,12413,1,1,3,5,33,2.7,-1.31,69,Y,-1.23,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,633.157879,e 580-640,e 580-640,0.96252674,2.7 +9,8,12459,9,2,7,2,32,2.7,0.99,64,Y,0.84,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.368406,e 580-640,e 580-640,0.96252674,2.7 +3,4,12491,3,2,7,3,41,2.7,-0.56,68,Y,-0.4,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +8,6,12524,8,2,7,1,42,2.7,0.71,58,Y,0.17,P,7,P,94,1,5,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +7,10,12534,7,1,6,5,33,2.7,0.54,64,Y,1.34,P,7,P,95,1,3,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,1,12544,1,2,7,3,35,2.7,-1.45,68,Y,-2.14,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +7,5,12701,7,2,7,3,36,2.7,0.51,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,4,12735,5,2,7,3,38,2.7,-0.05,68,Y,-0.36,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +4,3,12783,5,2,8,2,34,2.7,-0.24,68,Y,-0.64,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +3,2,12784,3,1,3,3,20,2.7,-0.54,69,Y,-1.09,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,427.89473,b 400-460,b 400-460,0.96252674,2.7 +6,7,12797,7,1,7,1,38,2.7,0.33,55,Y,0.41,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,712.105244,g 700+,g 700-760,0.96252674,2.7 +7,5,12808,7,1,7,1,34,2.7,0.51,61,Y,-0.12,P,2,P,96,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +8,2,12914,9,2,7,2,32.5,2.7,0.84,68,Y,-1.19,F,2,F,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +1,1,12915,1,1,3,1,38,2.7,-1.88,69,Y,-1.81,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,712.105244,g 700+,g 700-760,0.96252674,2.7 +4,2,12947,4,1,2,4,30.5,2.7,-0.32,67,Y,-1.11,F,7,P,95,2,4,-60,female,1,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +1,1,12950,1,1,2,4,31,2.7,-2.55,66,Y,-1.33,P,2,P,95,1,3,-64,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,601.578933,e 580-640,e 580-640,0.96252674,2.7 +3,4,12956,3,2,7,1,48,2.7,-0.55,64,Y,-0.26,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.999974,g 700+,i 820+,0.96252674,2.7 +8,9,13095,8,1,7,3,36,2.7,0.81,65,Y,0.95,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,1,13109,2,1,7,3,38,2.7,-0.89,68,Y,-1.31,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +3,1,13134,3,2,6,3,36,2.7,-0.61,69,Y,-1.45,F,7,F,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +8,8,13171,8,2,7,2,35,2.7,0.7,68,Y,0.84,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,2,13194,1,2,7,4,41,2.7,-2.1,66,Y,-0.96,F,2,F,96,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,759.473663,g 700+,g 700-760,0.96252674,2.7 +7,8,13262,7,2,7,4,35,2.7,0.39,65,Y,0.71,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,664.736825,f 640-700,f 640-700,0.96252674,2.7 +6,6,13293,6,2,7,3,34,2.7,0.2,65,Y,0.01,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +9,8,13305,9,2,7,4,47,2.7,1.18,69,Y,0.55,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,854.210501,g 700+,i 820+,0.96252674,2.7 +5,6,13378,5,2,7,3,36,2.7,-0.11,67,Y,0.18,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +7,8,13386,7,1,7,3,40,2.7,0.34,65,Y,0.67,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +6,4,13403,6,2,7,1,40,2.7,0.11,69,Y,-0.51,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +10,9,13430,10,1,7,3,40,2.7,1.76,68,Y,0.97,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +10,10,13473,10,1,7,3,37.5,2.7,1.3,62,Y,1.38,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.2105075,g 700+,g 700-760,0.96252674,2.7 +10,10,13491,10,2,7,3,39,2.7,1.67,67,Y,1.57,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,1,13493,2,1,7,1,31.7,2.7,-0.91,68,Y,-2.38,F,7,F,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,612.6315641,e 580-640,e 580-640,0.96252674,2.7 +3,5,13552,3,2,2,4,41,2.7,-0.56,67,Y,-0.21,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,759.473663,g 700+,g 700-760,0.96252674,2.7 +2,3,13588,2,1,7,3,36.5,2.7,-0.94,64,Y,-0.7,P,7,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.4210345,f 640-700,f 640-700,0.96252674,2.7 +,,13625,,1,7,4,30,2.7,,64,Y,-1.37,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,585.78946,e 580-640,e 580-640,0.96252674,2.7 +2,3,13632,2,2,7,2,30,2.7,-1.05,63,Y,-0.69,P,2,P,96,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,585.78946,e 580-640,e 580-640,0.96252674,2.7 +,,13657,10,1,7,3,41,2.7,1.65,58,X,,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +9,8,13696,9,1,7,4,38,2.7,1.2,69,Y,0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,712.105244,g 700+,g 700-760,0.96252674,2.7 +5,6,13724,5,1,7,4,41,2.7,-0.18,10,Y,0.09,P,7,P,94,1,5,-3,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,759.473663,g 700+,g 700-760,0.96252674,2.7 +9,8,13726,9,2,7,2,32,2.7,1.18,53,Y,0.61,P,2,P,95,2,2,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.368406,e 580-640,e 580-640,0.96252674,2.7 +8,7,13790,8,2,7,1,46,2.7,0.81,68,Y,0.4,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,838.421028,g 700+,i 820+,0.96252674,2.7 +6,5,13855,6,2,7,3,37,2.7,0.11,58,Y,-0.15,P,6,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +1,2,13912,1,2,3,5,33,2.7,-1.28,61,Y,-1.25,P,7,P,94,1,3,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,633.157879,e 580-640,e 580-640,0.96252674,2.7 +2,2,13919,2,1,3,3,30,2.7,-0.97,64,Y,-0.89,P,7,P,94,1,4,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +10,10,13962,10,2,7,1,46,2.7,1.94,68,Y,2.38,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,838.421028,g 700+,i 820+,0.96252674,2.7 +2,2,13996,2,2,3,4,31,2.7,-0.98,52,Y,-1.26,P,7,P,94,1,3,-45,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,601.578933,e 580-640,e 580-640,0.96252674,2.7 +6,3,13999,6,2,7,2,31.5,2.7,0.13,67,Y,-0.7,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.4736695,e 580-640,e 580-640,0.96252674,2.7 +6,4,14022,7,1,7,3,33,2.7,0.3,69,Y,-0.44,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +10,10,14080,10,1,7,3,41,2.7,1.44,69,Y,1.69,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +6,4,14088,6,1,7,3,36,2.7,0.06,69,Y,-0.3,P,7,P,93,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +9,10,14099,9,2,4,1,46,2.7,1.14,66,Y,1.82,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,838.421028,g 700+,i 820+,0.96252674,2.7 +4,4,14101,4,1,7,3,41,2.7,-0.26,69,Y,-0.43,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +2,1,14120,2,2,6,4,28,2.7,-1.16,66,Y,-1.83,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,554.210514,d 520-580,d 520-580,0.96252674,2.7 +3,5,14123,3,2,6,3,42,2.7,-0.6,69,Y,-0.22,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +7,9,14124,7,2,7,3,40,2.7,0.39,62,Y,1,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +2,3,14128,3,2,7,2,28,2.7,-0.79,65,Y,-0.84,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,554.210514,d 520-580,d 520-580,0.96252674,2.7 +8,7,14129,8,2,7,3,34,2.7,0.61,69,Y,0.42,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +8,9,14146,8,1,7,3,41,2.7,0.6,69,Y,1.31,P,7,P,94,2,3,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +5,6,14162,6,2,7,1,40,2.7,0.08,68,Y,0.07,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +8,9,14282,8,2,7,1,46,2.7,0.81,68,Y,1.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,838.421028,g 700+,i 820+,0.96252674,2.7 +1,1,14283,1,2,6,1,33,2.7,-1.69,67,Y,-1.86,F,2,F,94,1,3,-65,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,633.157879,e 580-640,e 580-640,0.96252674,2.7 +3,2,14287,3,2,2,1,30,2.7,-0.56,67,Y,-0.96,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,585.78946,e 580-640,e 580-640,0.96252674,2.7 +6,6,14298,6,1,7,4,40,2.7,0.08,53,Y,0.21,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +1,1,14314,2,2,7,3,33,2.7,-1.23,32,Y,-1.52,F,7,P,95,1,3,-25,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +6,3,14408,7,2,7,6,33,2.7,0.32,53,Y,-0.6,P,7,P,94,1,2,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,633.157879,e 580-640,e 580-640,0.96252674,2.7 +,,14435,,1,3,5,31,2.7,,69,Y,,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,601.578933,e 580-640,e 580-640,0.96252674,2.7 +2,2,14508,2,1,7,3,35,2.7,-1.05,69,Y,-1.12,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +7,4,14520,7,1,7,1,40,2.7,0.47,62,Y,-0.38,P,7,P,95,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +7,8,14522,7,2,7,3,30.5,2.7,0.52,57,Y,0.66,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +6,5,14567,7,2,6,6,26,2.7,0.28,57,Y,-0.27,P,2,P,94,1,1,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,522.631568,d 520-580,d 520-580,0.96252674,2.7 +5,5,14578,5,1,7,3,42,2.7,-0.02,69,Y,-0.24,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +2,1,14585,3,1,7,2,34,2.7,-0.84,69,Y,-1.46,F,6,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +8,6,14586,8,2,7,4,43,2.7,0.65,67,Y,0.18,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,791.052609,g 700+,h 760-820,0.96252674,2.7 +8,5,14593,8,2,7,3,40,2.7,0.75,69,Y,-0.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +8,4,14598,8,1,7,4,41,2.7,0.57,58,Y,-0.36,F,7,P,96,2,2,-51,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,1,14630,1,1,7,3,25,2.7,-1.44,69,Y,-2.02,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,506.842095,c 460-520,c 460-520,0.96252674,2.7 +10,10,14650,10,2,7,2,42,2.7,1.45,61,Y,1.4,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,775.263136,g 700+,h 760-820,0.96252674,2.7 +2,3,14667,3,1,4,3,26.5,2.7,-0.7,60,Y,-0.56,P,7,P,94,1,2,-53,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,530.5263045,d 520-580,d 520-580,0.96252674,2.7 +10,10,14680,10,2,7,2,33,2.7,1.79,64,Y,2.15,P,2,P,95,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +3,1,14827,3,2,7,1,36,2.7,-0.59,69,Y,-2.09,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,3,14856,3,2,7,3,37,2.7,-0.73,69,Y,-0.58,P,2,P,95,2,4,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +,,14888,,2,7,1,42,2.7,,68,Y,,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +5,5,14895,5,1,7,4,40,2.7,-0.08,64,Y,-0.08,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +4,4,14937,5,1,7,4,39,2.7,-0.23,64,Y,-0.34,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.894717,g 700+,g 700-760,0.96252674,2.7 +7,7,14998,7,1,7,3,35,2.7,0.48,60,Y,0.32,F,7,P,96,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +3,3,15041,3,1,3,1,28,2.7,-0.61,69,Y,-0.86,F,7,F,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,554.210514,d 520-580,d 520-580,0.96252674,2.7 +,,15064,,2,7,,23,2.7,-0.19,67,Y,-1.3,P,7,P,94,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,475.263149,c 460-520,c 460-520,0.96252674,2.7 +8,7,15091,8,1,7,3,46,2.7,0.8,67,Y,0.27,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,838.421028,g 700+,i 820+,0.96252674,2.7 +1,2,15154,1,2,7,1,35,2.7,-1.85,68,Y,-1.25,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,664.736825,f 640-700,f 640-700,0.96252674,2.7 +,,15224,,2,7,,30,2.7,-0.39,65,Y,-0.87,P,7,P,94,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,585.78946,e 580-640,e 580-640,0.96252674,2.7 +,,15235,1,1,3,3,24,2.7,-2.15,68,X,,F,2,F,95,1,5,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,491.052622,c 460-520,c 460-520,0.96252674,2.7 +2,4,15246,2,1,7,3,35,2.7,-1.03,64,Y,-0.4,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +2,2,15325,2,2,1,4,45,2.7,-1.01,59,Y,-0.86,F,7,P,95,1,3,-52,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,5,822.631555,g 700+,i 820+,0.96252674,2.7 +8,8,15331,8,1,7,1,41,2.7,0.73,50,Y,0.83,P,7,P,94,2,4,-43,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +4,4,15332,4,2,7,3,30,2.7,-0.33,61,Y,-0.34,P,2,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +3,5,15359,4,2,7,2,31,2.7,-0.52,64,Y,-0.14,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +,,15521,,1,7,,25.5,2.7,-0.09,68,Y,-0.75,F,2,P,95,2,4,-66,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,,514.7368315,c 460-520,c 460-520,0.96252674,2.7 +7,7,15525,8,1,3,6,30,2.7,0.56,68,Y,0.28,F,7,F,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,585.78946,e 580-640,e 580-640,0.96252674,2.7 +5,7,15549,5,1,6,2,35,2.7,-0.16,69,Y,0.24,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +6,8,15631,6,2,7,5,40,2.7,0.13,68,Y,0.76,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,743.68419,g 700+,g 700-760,0.96252674,2.7 +2,4,15692,2,1,8,3,30.5,2.7,-0.99,52,Y,-0.31,F,7,P,96,1,3,-45,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +2,1,15711,2,1,7,3,28.5,2.7,-1.07,68,Y,-1.85,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,562.1052505,d 520-580,d 520-580,0.96252674,2.7 +5,4,15750,6,2,7,3,30.5,2.7,0,58,Y,-0.45,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +1,1,15833,1,1,3,2,25,2.7,-1.49,64,Y,-1.46,F,7,F,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,506.842095,c 460-520,c 460-520,0.96252674,2.7 +2,5,15870,3,1,7,6,37,2.7,-0.64,65,Y,-0.03,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,696.315771,f 640-700,f 640-700,0.96252674,2.7 +1,2,16151,2,2,3,2,34,2.7,-1.11,68,Y,-1.02,F,7,F,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +9,10,16201,9,2,7,3,39,2.7,1.16,64,Y,1.34,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +10,10,16210,10,1,7,3,37,2.7,1.49,69,Y,1.85,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,4,16236,6,2,7,3,44,2.7,0.22,68,Y,-0.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.842082,g 700+,h 760-820,0.96252674,2.7 +3,5,16241,3,2,7,2,35,2.7,-0.58,68,Y,-0.1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +4,2,16295,4,2,7,2,32,2.7,-0.32,46,Y,-1.04,P,2,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.368406,e 580-640,e 580-640,0.96252674,2.7 +2,2,16480,2,2,7,4,35,2.7,-0.95,69,Y,-1.21,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,2,16513,2,2,3,1,28,2.7,-1.18,60,Y,-1.27,F,7,P,95,1,3,-53,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,554.210514,d 520-580,d 520-580,0.96252674,2.7 +6,2,16522,6,1,2,6,29,2.7,0.16,67,Y,-1.17,F,7,P,95,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,1,569.999987,d 520-580,d 520-580,0.96252674,2.7 +1,1,16556,1,2,7,3,31,2.7,-2.02,64,Y,-1.41,F,7,F,94,1,,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +6,3,16611,6,2,7,1,36,2.7,0.15,68,Y,-0.69,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,3,16617,2,2,7,1,41,2.7,-0.92,66,Y,-0.54,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,3,16636,2,1,7,1,41,2.7,-1.19,63,Y,-0.66,F,7,F,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,1,16641,1,2,7,5,40,2.7,-1.74,62,Y,-1.88,P,2,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,743.68419,g 700+,g 700-760,0.96252674,2.7 +7,9,16677,7,1,7,2,35,2.7,0.34,67,Y,1.09,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +4,5,16681,5,2,3,3,35,2.7,-0.19,57,Y,-0.19,P,2,P,94,1,3,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,1,16686,1,1,3,3,30,2.7,-1.69,70,Y,-2.19,F,7,F,94,1,2,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +5,6,16775,6,1,7,3,37,2.7,0.05,69,Y,0.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +9,6,16798,9,2,7,4,36,2.7,0.91,56,Y,0.19,P,7,P,95,2,1,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,680.526298,f 640-700,f 640-700,0.96252674,2.7 +,,16803,,1,7,3,44,2.7,,66,Y,,P,2,P,96,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.842082,g 700+,h 760-820,0.96252674,2.7 +10,9,16911,10,2,7,1,40,2.7,1.47,65,Y,0.88,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +,,16957,,2,7,4,43,2.7,,68,Y,-1.42,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,791.052609,g 700+,h 760-820,0.96252674,2.7 +8,9,16982,8,1,7,2,42,2.7,0.77,66,Y,1.14,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,775.263136,g 700+,h 760-820,0.96252674,2.7 +6,4,16984,6,2,7,1,37,2.7,0.21,66,Y,-0.34,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +4,4,16994,4,2,4,4,36,2.7,-0.39,67,Y,-0.39,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,2,17001,4,2,7,2,30,2.7,-0.5,67,Y,-1.1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,585.78946,e 580-640,e 580-640,0.96252674,2.7 +3,3,17059,4,2,2,3,42,2.7,-0.5,64,Y,-0.73,P,7,P,94,1,4,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +,,17107,10,2,7,2,39,2.7,2.26,69,X,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,727.894717,g 700+,g 700-760,0.96252674,2.7 +10,10,17163,10,2,7,2,39,2.7,1.42,69,Y,1.72,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,727.894717,g 700+,g 700-760,0.96252674,2.7 +1,3,17251,1,2,2,3,29.5,2.7,-1.38,67,Y,-0.82,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,577.8947235,d 520-580,d 520-580,0.96252674,2.7 +1,1,17279,1,2,3,6,20.5,2.7,-1.28,62,Y,-1.68,F,2,F,96,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,435.7894665,b 400-460,b 400-460,0.96252674,2.7 +4,6,17308,5,1,3,1,25,2.7,-0.22,64,Y,0.27,P,7,P,95,1,2,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,506.842095,c 460-520,c 460-520,0.96252674,2.7 +1,1,17327,1,2,3,4,34,2.7,-1.56,66,Y,-1.61,F,7,P,95,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,5,17342,5,2,7,3,35,2.7,-0.03,67,Y,-0.2,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +1,1,17358,1,2,4,4,32,2.7,-2.22,65,Y,-2.04,P,2,P,95,1,2,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,617.368406,e 580-640,e 580-640,0.96252674,2.7 +7,5,17416,7,2,6,4,42,2.7,0.34,62,Y,-0.04,P,7,P,94,1,4,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,775.263136,g 700+,h 760-820,0.96252674,2.7 +6,6,17421,6,2,4,3,28,2.7,0.21,65,Y,0,F,7,P,95,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,554.210514,d 520-580,d 520-580,0.96252674,2.7 +7,8,17433,7,2,7,4,43,2.7,0.48,68,Y,0.73,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,791.052609,g 700+,h 760-820,0.96252674,2.7 +4,5,17482,4,2,6,3,36,2.7,-0.26,62,Y,-0.1,P,7,P,94,1,1,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +9,8,17483,9,2,7,3,40,2.7,1.05,68,Y,0.86,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +2,3,17555,3,2,7,2,37,2.7,-0.87,65,Y,-0.89,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,696.315771,f 640-700,f 640-700,0.96252674,2.7 +4,4,17610,4,2,7,3,31.5,2.7,-0.32,69,Y,-0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.4736695,e 580-640,e 580-640,0.96252674,2.7 +7,7,17614,7,2,7,2,40,2.7,0.34,61,Y,0.41,P,7,P,94,1,1,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,743.68419,g 700+,g 700-760,0.96252674,2.7 +,,17624,,2,7,1,42,2.7,,61,Y,,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +1,2,17683,1,1,7,3,29,2.7,-2.09,47,Y,-1.19,P,7,P,94,1,2,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,569.999987,d 520-580,d 520-580,0.96252674,2.7 +1,1,17714,1,2,7,3,36.5,2.7,-1.61,68,Y,-1.81,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.4210345,f 640-700,f 640-700,0.96252674,2.7 +4,6,17749,4,2,7,3,40,2.7,-0.38,66,Y,0.13,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +8,9,17753,8,2,7,2,34,2.7,0.72,55,Y,1.03,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +2,4,17771,3,2,7,1,40,2.7,-0.75,55,Y,-0.44,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +4,3,17781,4,2,3,1,42,2.7,-0.38,69,Y,-0.84,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +9,10,17941,9,2,7,2,35,2.7,1.13,59,Y,1.47,P,2,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +5,7,18057,5,1,7,3,36,2.7,-0.05,67,Y,0.32,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,3,18058,3,1,7,3,36.5,2.7,-0.58,69,Y,-0.7,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.4210345,f 640-700,f 640-700,0.96252674,2.7 +4,3,18063,5,2,7,3,38,2.7,-0.22,67,Y,-0.71,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +7,5,18155,7,2,7,3,34,2.7,0.41,69,Y,-0.15,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +8,8,18182,8,2,7,3,32.3,2.7,0.71,66,Y,0.82,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,622.1052479,e 580-640,e 580-640,0.96252674,2.7 +1,4,18217,1,2,6,3,26,2.7,-2.01,69,Y,-0.55,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,522.631568,d 520-580,d 520-580,0.96252674,2.7 +4,6,18250,4,2,7,2,33,2.7,-0.33,66,Y,-0.01,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +,,18252,3,1,7,3,34,2.7,-0.56,69,X,,F,2,F,96,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +4,3,18289,4,2,7,3,36,2.7,-0.36,69,Y,-0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +9,6,18394,9,1,6,3,35,2.7,1,68,Y,0.15,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +3,2,18409,4,2,1,1,40,2.7,-0.46,65,Y,-0.95,P,7,P,94,1,3,-58,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +,,18412,,2,7,3,38,2.7,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +6,7,18420,6,2,7,3,27,2.7,0.1,69,Y,0.33,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +4,5,18443,4,1,7,3,37,2.7,-0.42,65,Y,-0.1,P,6,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,5,18467,6,2,7,4,37,2.7,0.14,65,Y,-0.08,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,4,18495,6,1,7,3,37,2.7,0.1,69,Y,-0.36,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,5,18500,6,2,7,2,37,2.7,0.13,60,Y,-0.17,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,6,18523,6,2,7,2,35,2.7,0.14,65,Y,-0.02,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +7,6,18563,7,2,7,3,39,2.7,0.44,65,Y,0.18,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +5,4,18645,5,2,7,3,33,2.7,-0.03,64,Y,-0.39,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,1,18652,2,2,3,1,31,2.7,-1.23,67,Y,-2.03,P,7,P,94,1,1,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,601.578933,e 580-640,e 580-640,0.96252674,2.7 +3,4,18668,3,1,7,3,41,2.7,-0.55,69,Y,-0.34,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +2,2,18670,2,2,7,3,41,2.7,-0.87,67,Y,-0.99,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +5,4,18693,5,2,7,1,39,2.7,-0.13,59,Y,-0.26,F,7,P,95,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +9,9,18701,9,1,7,6,30.5,2.7,1.02,54,Y,1.2,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +6,4,18705,6,1,2,3,31,2.7,0.07,63,Y,-0.31,P,2,P,95,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +4,4,18726,4,2,7,3,45,2.7,-0.28,60,Y,-0.3,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.631555,g 700+,i 820+,0.96252674,2.7 +2,1,18729,2,2,3,3,28,2.7,-1.11,69,Y,-1.87,F,7,F,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,554.210514,d 520-580,d 520-580,0.96252674,2.7 +4,2,18776,4,2,8,5,29.3,2.7,-0.24,65,Y,-0.85,F,7,P,95,1,4,-58,male,0,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,6,574.7368289,d 520-580,d 520-580,0.96252674,2.7 +2,2,18799,3,1,3,2,23,2.7,-0.81,68,Y,-0.92,F,7,P,95,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,475.263149,c 460-520,c 460-520,0.96252674,2.7 +2,1,18802,2,2,7,3,30,2.7,-0.9,69,Y,-1.36,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +,,18819,,1,7,6,28,2.7,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,554.210514,d 520-580,d 520-580,0.96252674,2.7 +4,3,18852,4,2,2,3,33,2.7,-0.39,67,Y,-0.77,P,7,P,94,1,1,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +8,9,18857,8,2,7,2,31,2.7,0.62,67,Y,1.28,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +7,7,18861,8,1,3,6,24,2.7,0.57,66,Y,0.26,P,2,P,95,1,2,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,491.052622,c 460-520,c 460-520,0.96252674,2.7 +2,3,18881,2,2,7,3,31,2.7,-1.03,65,Y,-0.66,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +1,1,18942,1,2,7,3,31,2.7,-1.99,52,Y,-1.37,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +5,5,18951,5,2,7,3,37,2.7,-0.06,63,Y,-0.21,P,7,P,94,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +8,9,19040,8,2,7,2,39,2.7,0.59,67,Y,1.12,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,727.894717,g 700+,g 700-760,0.96252674,2.7 +10,7,19166,10,2,7,1,32.5,2.7,1.34,66,Y,0.47,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +5,4,19181,5,2,7,2,37,2.7,-0.07,69,Y,-0.47,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,696.315771,f 640-700,f 640-700,0.96252674,2.7 +7,6,19198,7,1,7,3,34,2.7,0.39,51,Y,0.23,P,2,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,2,19217,5,2,7,3,43,2.7,-0.13,68,Y,-1.12,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,791.052609,g 700+,h 760-820,0.96252674,2.7 +1,1,19267,1,2,4,1,30,2.7,-1.56,68,Y,-1.61,F,7,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,585.78946,e 580-640,e 580-640,0.96252674,2.7 +9,9,19282,10,2,7,2,39,2.7,1.24,64,Y,1.26,P,7,P,95,1,1,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,727.894717,g 700+,g 700-760,0.96252674,2.7 +4,7,19403,4,2,7,3,35,2.7,-0.32,68,Y,0.28,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +2,3,19411,3,2,7,3,41,2.7,-0.71,66,Y,-0.78,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +8,6,19458,8,2,7,4,36,2.7,0.78,64,Y,0.04,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,1,19473,3,1,7,3,30,2.7,-0.76,66,Y,-1.84,P,2,P,95,2,3,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +1,1,19500,1,1,2,4,31,2.7,-2.17,67,Y,-2.85,F,7,F,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,601.578933,e 580-640,e 580-640,0.96252674,2.7 +,,19522,,2,7,,35,2.7,1.2,67,Y,0.52,P,7,P,94,2,5,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,664.736825,f 640-700,f 640-700,0.96252674,2.7 +,,19555,2,1,4,6,22,2.7,-1.02,67,Y,,P,2,P,95,1,4,-65,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,459.473676,b 400-460,b 400-460,0.96252674,2.7 +3,4,19635,4,2,6,3,33.5,2.7,-0.48,67,Y,-0.54,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.0526155,f 640-700,f 640-700,0.96252674,2.7 +6,7,19648,6,2,7,3,32,2.7,0.1,65,Y,0.32,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +3,2,19663,3,2,7,2,31,2.7,-0.56,63,Y,-1.17,F,7,F,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +6,6,19694,6,2,7,1,31,2.7,0.19,61,Y,0.14,P,7,P,93,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,601.578933,e 580-640,e 580-640,0.96252674,2.7 +5,4,19698,6,2,7,2,38,2.7,0,64,Y,-0.46,F,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,712.105244,g 700+,g 700-760,0.96252674,2.7 +10,9,19736,10,2,7,1,32,2.7,1.45,69,Y,1.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,617.368406,e 580-640,e 580-640,0.96252674,2.7 +7,4,19763,7,1,7,3,35,2.7,0.43,69,Y,-0.39,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +6,7,19772,6,2,1,2,32,2.7,0.17,50,Y,0.52,P,7,P,94,1,3,-43,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,617.368406,e 580-640,e 580-640,0.96252674,2.7 +7,5,19782,7,2,7,3,40,2.7,0.37,64,Y,-0.02,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +7,5,19801,7,2,3,1,38,2.7,0.47,69,Y,-0.1,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,712.105244,g 700+,g 700-760,0.96252674,2.7 +2,4,19825,2,2,7,4,33.5,2.7,-0.9,67,Y,-0.45,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,641.0526155,f 640-700,f 640-700,0.96252674,2.7 +9,10,19830,9,2,7,3,36,2.7,1.01,65,Y,1.39,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +7,10,19844,7,2,7,2,26.3,2.7,0.49,66,Y,1.72,P,7,P,94,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,527.3684099,d 520-580,d 520-580,0.96252674,2.7 +10,10,19848,10,1,7,3,43,2.7,1.5,67,Y,2.32,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,791.052609,g 700+,h 760-820,0.96252674,2.7 +3,1,19868,3,1,7,3,38,2.7,-0.67,68,Y,-1.6,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +10,10,19876,10,2,7,3,33,2.7,1.37,69,Y,1.53,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,1,19893,2,1,3,1,21,2.7,-1.22,70,Y,-2.11,F,7,F,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,443.684203,b 400-460,b 400-460,0.96252674,2.7 +,,19901,,2,7,1,34.5,2.7,,65,Y,,F,2,P,96,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +10,9,19982,10,2,7,3,41,2.7,2.15,65,Y,1.25,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,1,20004,1,1,3,5,37,2.7,-1.71,66,Y,-2.07,P,2,P,95,1,2,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,696.315771,f 640-700,f 640-700,0.96252674,2.7 +2,3,20089,2,2,7,3,39,2.7,-1.03,66,Y,-0.84,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,5,20096,2,1,7,3,37,2.7,-0.91,66,Y,-0.27,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +7,10,20103,7,2,7,4,44,2.7,0.43,67,Y,2.14,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.842082,g 700+,h 760-820,0.96252674,2.7 +6,7,20109,6,2,7,2,35,2.7,0.17,67,Y,0.49,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +6,8,20151,6,2,7,3,28,2.7,0.16,68,Y,0.63,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,554.210514,d 520-580,d 520-580,0.96252674,2.7 +8,4,20184,8,2,7,3,31.5,2.7,0.58,69,Y,-0.46,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.4736695,e 580-640,e 580-640,0.96252674,2.7 +9,10,20204,9,2,7,3,39,2.7,1.03,65,Y,2.05,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +8,8,20220,8,2,7,3,42,2.7,0.68,67,Y,0.86,P,2,P,94,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +9,9,20243,9,2,7,3,38,2.7,0.94,61,Y,1.29,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +,,20316,10,2,7,5,37,2.7,1.88,64,Y,,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,696.315771,f 640-700,f 640-700,0.96252674,2.7 +8,7,20334,8,2,7,2,40,2.7,0.63,64,Y,0.35,P,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,743.68419,g 700+,g 700-760,0.96252674,2.7 +3,5,20341,4,1,7,3,35,2.7,-0.5,68,Y,-0.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +3,3,20362,4,1,2,3,39,2.7,-0.51,70,Y,-0.65,P,2,P,94,1,4,-68,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +9,8,20373,9,2,7,3,35,2.7,1.08,61,Y,0.61,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +,,20377,,2,7,5,31,2.7,,58,Y,,F,7,F,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,601.578933,e 580-640,e 580-640,0.96252674,2.7 +2,1,20385,2,1,7,3,27.5,2.7,-1.02,69,Y,-1.63,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,546.3157775,d 520-580,d 520-580,0.96252674,2.7 +3,1,20386,3,2,7,2,35,2.7,-0.56,61,Y,-1.67,F,2,F,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +2,2,20404,2,2,7,1,43,2.7,-1.02,66,Y,-1.31,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,791.052609,g 700+,h 760-820,0.96252674,2.7 +4,6,20419,4,1,8,4,29,2.7,-0.4,53,Y,0.17,P,7,P,94,1,1,-46,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,569.999987,d 520-580,d 520-580,0.96252674,2.7 +4,3,20462,4,2,7,4,35.3,2.7,-0.29,67,Y,-0.85,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,669.4736669,f 640-700,f 640-700,0.96252674,2.7 +9,7,20479,9,2,7,2,36,2.7,0.86,69,Y,0.44,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,680.526298,f 640-700,f 640-700,0.96252674,2.7 +6,7,20504,7,2,7,3,36,2.7,0.29,57,Y,0.45,P,2,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +10,5,20506,10,2,7,1,41,2.7,1.55,66,Y,-0.09,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +8,7,20509,8,1,7,2,37,2.7,0.77,63,Y,0.27,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,696.315771,f 640-700,f 640-700,0.96252674,2.7 +10,10,20546,10,2,7,1,43,2.7,1.92,61,Y,1.68,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,791.052609,g 700+,h 760-820,0.96252674,2.7 +5,4,20627,5,2,7,2,31,2.7,-0.16,68,Y,-0.5,P,2,P,95,2,4,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +,,20642,,2,7,,33,2.7,-0.23,68,Y,-0.4,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,633.157879,e 580-640,e 580-640,0.96252674,2.7 +7,7,20681,7,2,7,3,39,2.7,0.39,68,Y,0.27,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +9,9,20760,9,2,7,3,40,2.7,1.08,62,Y,1.19,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +5,6,20812,6,2,7,2,36,2.7,0.01,62,Y,0.1,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,3,20841,6,2,7,3,39,2.7,0.01,68,Y,-0.84,F,7,P,96,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +8,7,20902,8,2,7,1,41,2.7,0.84,62,Y,0.39,P,2,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +8,8,20922,8,2,7,4,32,2.7,0.69,67,Y,0.81,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,617.368406,e 580-640,e 580-640,0.96252674,2.7 +8,9,20995,8,1,7,2,30.5,2.7,0.78,69,Y,0.92,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +7,6,21007,7,2,7,2,34,2.7,0.46,65,Y,0.19,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +6,2,21024,6,1,7,3,39,2.7,0.15,66,Y,-1.28,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +9,8,21026,9,2,7,3,40,2.7,0.92,63,Y,0.63,P,2,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +2,1,21046,2,1,7,5,37,2.7,-1.16,62,Y,-1.58,F,7,P,95,1,5,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,696.315771,f 640-700,f 640-700,0.96252674,2.7 +3,3,21101,3,1,7,2,35,2.7,-0.6,67,Y,-0.79,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +5,4,21194,5,1,7,3,36,2.7,-0.15,61,Y,-0.29,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +4,2,21222,4,2,3,3,32,2.7,-0.42,53,Y,-1.1,P,7,P,95,2,2,-46,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +7,4,21223,7,1,7,3,37,2.7,0.39,65,Y,-0.46,P,2,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,10,21247,7,2,7,3,30.5,2.7,0.31,68,Y,1.55,P,2,P,95,2,5,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +3,3,21251,3,1,7,1,44,2.7,-0.64,51,Y,-0.81,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +2,3,21325,2,2,7,3,34,2.7,-0.92,66,Y,-0.65,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +9,10,21371,9,1,7,1,39,2.7,1.22,67,Y,1.7,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +,,21423,,2,7,5,34,2.7,,61,Y,,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,648.947352,f 640-700,f 640-700,0.96252674,2.7 +9,9,21518,9,1,2,1,37,2.7,0.98,64,Y,1.13,P,7,P,94,1,1,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +2,2,21555,2,2,7,3,31,2.7,-0.91,68,Y,-1.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +5,5,21567,5,2,7,3,36,2.7,-0.05,62,Y,-0.17,P,7,P,95,2,2,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +6,5,21573,6,2,5,4,31,2.7,0.17,66,Y,-0.09,P,7,P,94,1,5,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,601.578933,e 580-640,e 580-640,0.96252674,2.7 +7,5,21621,7,1,7,4,40,2.7,0.47,63,Y,-0.06,P,7,P,94,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +7,6,21635,7,1,7,3,39,2.7,0.44,65,Y,0.24,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +10,9,21691,10,2,7,3,35,2.7,1.58,68,Y,1.1,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +7,5,21740,7,2,7,3,35,2.7,0.32,69,Y,-0.18,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +6,8,21752,6,2,7,1,46,2.7,0.19,65,Y,0.72,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,838.421028,g 700+,i 820+,0.96252674,2.7 +4,9,21794,4,1,7,4,40,2.7,-0.39,52,Y,1.14,P,2,P,96,2,4,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +1,1,21813,1,2,4,1,26,2.7,-2.17,55,Y,-2.28,F,6,P,95,1,3,-49,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,522.631568,d 520-580,d 520-580,0.96252674,2.7 +3,3,21837,3,2,7,4,36,2.7,-0.55,67,Y,-0.69,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,680.526298,f 640-700,f 640-700,0.96252674,2.7 +7,6,21841,7,1,3,1,33,2.7,0.47,60,Y,0.1,P,7,P,94,1,3,-53,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,1,21850,1,1,3,1,22.5,2.7,-1.33,54,Y,-1.89,P,2,P,95,1,1,-52,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,467.3684125,c 460-520,c 460-520,0.96252674,2.7 +6,4,21852,6,2,7,3,36,2.7,0.1,63,Y,-0.3,P,2,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,4,21858,3,1,7,3,27,2.7,-0.73,64,Y,-0.56,F,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +9,7,21862,9,2,7,4,45,2.7,1.12,50,Y,0.28,P,2,P,95,1,,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.631555,g 700+,i 820+,0.96252674,2.7 +6,3,21876,6,2,7,4,38,2.7,0.21,62,Y,-0.65,P,2,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,712.105244,g 700+,g 700-760,0.96252674,2.7 +3,3,21888,3,2,3,1,34,2.7,-0.65,64,Y,-0.82,F,7,F,95,2,4,-57,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,3,21906,5,2,7,3,31,2.7,-0.03,67,Y,-0.72,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +1,2,21999,1,1,3,1,22,2.7,-1.42,69,Y,-1.3,F,7,F,95,2,3,-62,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,459.473676,b 400-460,b 400-460,0.96252674,2.7 +4,3,22042,4,2,5,3,39,2.7,-0.38,69,Y,-0.63,F,7,F,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +7,9,22094,7,2,7,2,42,2.7,0.51,54,Y,1.02,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,775.263136,g 700+,h 760-820,0.96252674,2.7 +6,5,22108,6,2,7,3,30,2.7,0.14,68,Y,-0.15,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +6,7,22131,6,2,3,4,41,2.7,0.25,64,Y,0.46,P,7,P,94,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,759.473663,g 700+,g 700-760,0.96252674,2.7 +1,2,22132,1,2,7,3,36,2.7,-1.38,52,Y,-1.25,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,1,22169,3,1,3,4,30,2.7,-0.52,60,Y,-1.47,F,7,F,95,2,3,-53,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,585.78946,e 580-640,e 580-640,0.96252674,2.7 +8,9,22216,8,2,7,1,45,2.7,0.72,64,Y,1.04,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.631555,g 700+,i 820+,0.96252674,2.7 +3,4,22269,3,2,7,2,33,2.7,-0.56,68,Y,-0.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +6,5,22326,6,1,7,1,40,2.7,0.11,70,Y,-0.23,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +3,4,22402,3,1,3,3,28,2.7,-0.64,48,Y,-0.4,P,7,P,94,1,4,-41,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,554.210514,d 520-580,d 520-580,0.96252674,2.7 +5,5,22409,5,2,7,3,38,2.7,-0.07,64,Y,-0.09,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +,,22440,1,2,3,5,32,2.7,-1.43,68,Y,,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,617.368406,e 580-640,e 580-640,0.96252674,2.7 +6,6,22535,6,2,4,3,31,2.7,0.07,69,Y,0.23,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +1,1,22542,1,1,3,3,28,2.7,-1.4,68,Y,-1.51,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,554.210514,d 520-580,d 520-580,0.96252674,2.7 +,,22558,9,2,7,2,34,2.7,1.19,68,X,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +6,5,22633,7,2,7,1,44,2.7,0.32,67,Y,-0.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +10,10,22648,10,1,7,3,40,2.7,1.34,69,Y,1.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +8,8,22677,8,1,7,1,33,2.7,0.73,66,Y,0.83,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,633.157879,e 580-640,e 580-640,0.96252674,2.7 +7,4,22682,7,1,7,3,36,2.7,0.33,68,Y,-0.49,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +4,2,22699,4,2,7,4,41,2.7,-0.42,68,Y,-0.86,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,759.473663,g 700+,g 700-760,0.96252674,2.7 +7,5,22714,7,2,7,2,37,2.7,0.4,69,Y,-0.29,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,696.315771,f 640-700,f 640-700,0.96252674,2.7 +2,1,22745,2,2,7,3,33.5,2.7,-0.97,66,Y,-1.31,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.0526155,f 640-700,f 640-700,0.96252674,2.7 +6,6,22764,6,2,1,4,38,2.7,0.05,68,Y,0.07,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,712.105244,g 700+,g 700-760,0.96252674,2.7 +10,10,22778,10,2,7,3,41,2.7,1.52,68,Y,2.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +2,5,22785,2,2,7,4,38,2.7,-1.04,52,Y,-0.03,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,712.105244,g 700+,g 700-760,0.96252674,2.7 +2,1,22806,2,2,7,3,44,2.7,-1.05,66,Y,-1.53,F,2,F,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,806.842082,g 700+,h 760-820,0.96252674,2.7 +6,5,22809,6,2,7,3,34,2.7,0.19,66,Y,-0.1,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +10,10,22813,10,2,7,3,43,2.7,1.53,67,Y,1.31,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,791.052609,g 700+,h 760-820,0.96252674,2.7 +3,5,22845,3,2,7,3,42,2.7,-0.55,65,Y,-0.12,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +2,4,22858,3,2,7,1,39,2.7,-0.82,62,Y,-0.43,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,2,22861,2,2,4,1,39,2.7,-0.92,61,Y,-1.25,P,7,P,94,1,3,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +3,3,22874,3,1,7,3,32,2.7,-0.69,57,Y,-0.88,P,7,P,95,1,5,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,1,22895,4,2,7,3,35,2.7,-0.38,67,Y,-1.32,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +4,3,22936,4,2,8,1,44,2.7,-0.37,66,Y,-0.85,P,7,P,94,1,2,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,806.842082,g 700+,h 760-820,0.96252674,2.7 +1,2,22965,2,1,7,3,36,2.7,-1.29,67,Y,-1.08,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +9,10,23003,9,2,7,3,33,2.7,1.2,50,Y,1.67,P,2,P,96,2,4,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +2,2,23027,2,2,7,3,39,2.7,-0.93,67,Y,-1.16,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +,,23040,,1,7,,32,2.7,0.16,67,Y,-0.32,P,7,P,94,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,617.368406,e 580-640,e 580-640,0.96252674,2.7 +10,10,23041,10,1,7,3,36,2.7,1.34,63,Y,1.79,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +8,8,23085,8,2,7,3,34,2.7,0.78,69,Y,0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,5,23158,5,2,7,3,37,2.7,-0.12,65,Y,-0.19,F,7,F,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,7,23185,6,2,4,5,34,2.7,0.33,68,Y,0.38,P,2,P,94,1,5,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,648.947352,f 640-700,f 640-700,0.96252674,2.7 +4,9,23187,5,2,7,3,38,2.7,-0.17,68,Y,1.15,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +4,3,23211,4,2,2,4,35,2.7,-0.32,63,Y,-0.82,P,7,P,94,1,4,-56,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,664.736825,f 640-700,f 640-700,0.96252674,2.7 +5,9,23236,5,1,3,6,28,2.7,-0.02,66,Y,1.04,P,7,P,94,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,554.210514,d 520-580,d 520-580,0.96252674,2.7 +2,1,23241,2,1,4,3,26,2.7,-0.94,69,Y,-1.54,F,7,P,95,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,522.631568,d 520-580,d 520-580,0.96252674,2.7 +5,4,23253,6,2,4,1,47,2.7,0.08,68,Y,-0.31,P,2,P,94,1,5,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,854.210501,g 700+,i 820+,0.96252674,2.7 +5,4,23292,6,2,7,3,40,2.7,0.01,69,Y,-0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +3,5,23316,4,2,7,6,38,2.7,-0.56,58,Y,-0.27,F,2,P,96,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,712.105244,g 700+,g 700-760,0.96252674,2.7 +4,3,23391,4,2,7,2,27,2.7,-0.39,69,Y,-0.76,P,2,P,95,2,3,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,538.421041,d 520-580,d 520-580,0.96252674,2.7 +8,7,23394,8,2,7,1,42,2.7,0.68,54,Y,0.4,P,7,P,94,1,5,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.263136,g 700+,h 760-820,0.96252674,2.7 +4,4,23436,5,2,7,3,32,2.7,-0.24,68,Y,-0.49,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +6,5,23439,6,2,6,1,41,2.7,0.15,67,Y,0.01,P,2,P,94,1,4,-65,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +10,8,23515,10,2,7,3,44,2.7,1.34,67,Y,0.56,P,7,P,94,2,5,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.842082,g 700+,h 760-820,0.96252674,2.7 +8,6,23573,8,1,7,3,34,2.7,0.73,57,Y,0.14,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +9,9,23580,9,2,7,2,40,2.7,1.04,69,Y,1.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,743.68419,g 700+,g 700-760,0.96252674,2.7 +,,23581,,2,7,,37,2.7,1.54,63,Y,1.05,P,2,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,696.315771,f 640-700,f 640-700,0.96252674,2.7 +2,2,23607,2,2,7,4,36,2.7,-1.11,62,Y,-0.96,F,2,F,96,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,5,23655,5,1,7,1,31,2.7,-0.11,67,Y,-0.18,P,2,P,95,2,4,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,601.578933,e 580-640,e 580-640,0.96252674,2.7 +9,8,23666,9,2,7,3,29.5,2.7,1.21,66,Y,0.71,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,577.8947235,d 520-580,d 520-580,0.96252674,2.7 +3,4,23674,4,1,7,1,37,2.7,-0.48,44,Y,-0.33,P,2,P,94,1,5,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +2,3,23710,3,2,7,3,27,2.7,-0.72,67,Y,-0.65,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +9,9,23755,9,2,7,3,39,2.7,1.01,59,Y,0.9,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +,,23779,,2,7,6,34,2.7,,65,Y,,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,648.947352,f 640-700,f 640-700,0.96252674,2.7 +2,3,23784,2,1,4,3,28,2.7,-1.08,70,Y,-0.89,F,7,P,95,1,5,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,554.210514,d 520-580,d 520-580,0.96252674,2.7 +1,1,23809,1,2,3,5,30,2.7,-2.89,68,Y,-2.87,F,7,P,95,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,585.78946,e 580-640,e 580-640,0.96252674,2.7 +9,9,23850,9,2,7,1,36,2.7,1.12,69,Y,0.89,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +,,23859,9,1,7,4,37.5,2.7,1.18,65,Y,,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.2105075,g 700+,g 700-760,0.96252674,2.7 +8,6,23874,8,2,7,1,33.5,2.7,0.63,67,Y,0.14,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,641.0526155,f 640-700,f 640-700,0.96252674,2.7 +1,1,23898,1,1,3,1,29,2.7,-1.69,61,Y,-1.86,P,2,P,95,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,569.999987,d 520-580,d 520-580,0.96252674,2.7 +,,23958,,1,3,3,26,2.7,,65,Y,-0.27,F,7,F,95,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,522.631568,d 520-580,d 520-580,0.96252674,2.7 +2,3,24049,2,2,7,3,37,2.7,-0.85,67,Y,-0.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +8,8,24080,8,2,7,1,37,2.7,0.76,60,Y,0.81,P,7,P,94,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.315771,f 640-700,f 640-700,0.96252674,2.7 +1,1,24121,1,2,7,1,31,2.7,-1.63,69,Y,-1.57,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,601.578933,e 580-640,e 580-640,0.96252674,2.7 +8,8,24136,8,2,7,1,45,2.7,0.8,67,Y,0.69,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.631555,g 700+,i 820+,0.96252674,2.7 +4,3,24158,4,1,6,1,28,2.7,-0.35,68,Y,-0.75,P,7,P,94,1,1,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,554.210514,d 520-580,d 520-580,0.96252674,2.7 +5,5,24269,5,2,7,3,42,2.7,-0.13,68,Y,-0.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +9,8,24271,9,1,7,3,38,2.7,0.9,64,Y,0.74,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +2,1,24282,2,1,6,1,32.5,2.7,-0.98,68,Y,-1.79,F,7,F,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +4,2,24319,4,2,8,4,31,2.7,-0.39,60,Y,-1.07,P,7,P,95,1,3,-53,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,601.578933,e 580-640,e 580-640,0.96252674,2.7 +5,4,24327,5,1,7,2,33,2.7,-0.19,66,Y,-0.35,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +7,3,24393,7,2,7,2,31,2.7,0.33,61,Y,-0.82,P,7,P,95,2,2,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,601.578933,e 580-640,e 580-640,0.96252674,2.7 +6,8,24395,6,2,7,2,39,2.7,0.18,55,Y,0.78,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,727.894717,g 700+,g 700-760,0.96252674,2.7 +4,1,24446,4,2,7,1,43,2.7,-0.34,67,Y,-1.4,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,791.052609,g 700+,h 760-820,0.96252674,2.7 +4,6,24456,4,2,7,3,41,2.7,-0.25,61,Y,0.08,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +,,24462,,2,7,4,40,2.7,,43,Y,,P,7,P,94,2,3,-36,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +2,1,24508,3,1,7,3,33,2.7,-0.8,69,Y,-2.24,F,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +8,7,24513,8,2,7,3,25.5,2.7,0.73,65,Y,0.5,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,514.7368315,c 460-520,c 460-520,0.96252674,2.7 +,,24521,3,1,7,3,37,2.7,-0.77,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +4,4,24534,4,2,7,3,42,2.7,-0.28,65,Y,-0.42,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +6,4,24538,6,2,7,3,32,2.7,0.25,68,Y,-0.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,4,24549,4,1,6,3,32,2.7,-0.3,69,Y,-0.39,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +1,3,24614,1,2,3,1,27,2.7,-1.5,63,Y,-0.81,P,7,P,94,1,4,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,538.421041,d 520-580,d 520-580,0.96252674,2.7 +6,4,24647,6,1,7,1,36,2.7,0.21,68,Y,-0.26,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,3,24689,2,1,7,1,32.5,2.7,-0.86,51,Y,-0.83,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,625.2631425,e 580-640,e 580-640,0.96252674,2.7 +9,10,24738,9,2,7,3,34,2.7,0.93,67,Y,1.37,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +1,2,24762,1,1,7,3,34,2.7,-1.92,55,Y,-1.29,F,7,F,95,2,4,-48,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +6,6,24796,6,2,7,3,31.5,2.7,0.07,65,Y,0.07,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.4736695,e 580-640,e 580-640,0.96252674,2.7 +8,5,24800,8,2,7,2,34,2.7,0.58,63,Y,-0.21,P,7,P,94,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +,,24821,,2,7,4,39,2.7,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.894717,g 700+,g 700-760,0.96252674,2.7 +5,3,24840,5,2,7,4,44,2.7,-0.16,66,Y,-0.71,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,806.842082,g 700+,h 760-820,0.96252674,2.7 +4,4,24954,5,1,7,3,41,2.7,-0.19,68,Y,-0.4,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +7,8,24973,7,1,7,2,30.5,2.7,0.39,63,Y,0.66,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,593.6841965,e 580-640,e 580-640,0.96252674,2.7 +,,25012,,1,2,4,40,2.7,,66,Y,,P,7,P,94,1,5,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,743.68419,g 700+,g 700-760,0.96252674,2.7 +,,25026,2,1,3,1,36,2.7,-1.17,58,Y,,F,2,F,96,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,2,25101,3,1,2,3,31,2.7,-0.68,67,Y,-0.92,F,7,P,95,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +,,25110,,2,7,5,43,2.7,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,791.052609,g 700+,h 760-820,0.96252674,2.7 +5,3,25121,6,2,7,4,38,2.7,0.04,67,Y,-0.58,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,712.105244,g 700+,g 700-760,0.96252674,2.7 +5,4,25138,6,2,7,3,25.5,2.7,0.02,64,Y,-0.3,F,7,F,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,514.7368315,c 460-520,c 460-520,0.96252674,2.7 +10,10,25162,10,2,7,2,35,2.7,1.49,68,Y,1.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +5,8,25165,5,2,7,3,35,2.7,-0.02,67,Y,0.58,P,7,P,95,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +6,3,25177,6,2,7,3,48,2.7,0.15,66,Y,-0.73,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.999974,g 700+,i 820+,0.96252674,2.7 +9,8,25192,9,1,7,3,38,2.7,1.17,67,Y,0.73,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +5,2,25208,5,2,7,3,39,2.7,-0.14,67,Y,-0.9,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,4,25216,2,2,4,3,30,2.7,-0.84,64,Y,-0.39,P,2,P,95,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +6,6,25264,6,1,3,3,29,2.7,0.12,69,Y,-0.02,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,569.999987,d 520-580,d 520-580,0.96252674,2.7 +,,25268,,1,7,5,34,2.7,,56,Y,,P,7,P,94,1,1,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,648.947352,f 640-700,f 640-700,0.96252674,2.7 +4,3,25323,5,2,7,3,38,2.7,-0.17,,Y,-0.8,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +9,8,25329,9,2,7,3,42,2.7,1.13,67,Y,0.68,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.263136,g 700+,h 760-820,0.96252674,2.7 +,,25397,1,2,3,5,40,2.7,-1.37,65,Y,,P,7,P,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,743.68419,g 700+,g 700-760,0.96252674,2.7 +4,4,25501,5,2,7,3,37,2.7,-0.24,50,Y,-0.39,P,7,P,95,2,4,-43,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +6,5,25547,6,1,7,1,38,2.7,0.16,66,Y,-0.15,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,712.105244,g 700+,g 700-760,0.96252674,2.7 +1,2,25655,1,2,7,3,36,2.7,-1.79,66,Y,-1.13,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,4,25684,6,2,7,3,36,2.7,0.05,68,Y,-0.53,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,1,25747,3,2,7,3,34,2.7,-0.76,68,Y,-1.38,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,8,25850,5,2,7,1,36,2.7,-0.05,68,Y,0.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,680.526298,f 640-700,f 640-700,0.96252674,2.7 +5,6,25893,6,2,7,1,39,2.7,0.06,69,Y,0.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +7,9,25916,7,2,2,4,43,2.7,0.41,68,Y,0.98,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,791.052609,g 700+,h 760-820,0.96252674,2.7 +7,7,25933,8,2,7,2,35,2.7,0.52,68,Y,0.35,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.736825,f 640-700,f 640-700,0.96252674,2.7 +8,7,25936,8,2,7,3,40,2.7,0.61,67,Y,0.45,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +2,2,25948,3,1,3,1,22.5,2.7,-0.78,61,Y,-1.25,F,2,F,95,2,3,-59,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,467.3684125,c 460-520,c 460-520,0.96252674,2.7 +6,4,25954,6,2,7,3,37,2.7,0.06,68,Y,-0.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +9,8,25970,9,1,3,6,29,2.7,1.05,67,Y,0.58,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,569.999987,d 520-580,d 520-580,0.96252674,2.7 +10,9,26083,10,1,7,2,34,2.7,1.76,64,Y,1.15,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.947352,f 640-700,f 640-700,0.96252674,2.7 +7,6,26090,7,1,2,3,39,2.7,0.38,66,Y,0.09,P,7,P,94,1,2,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +1,1,26142,1,2,7,3,38,2.7,-1.33,69,Y,-2.04,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +1,1,26180,1,1,7,3,31,2.7,-3.13,63,Y,-1.85,P,7,P,94,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.578933,e 580-640,e 580-640,0.96252674,2.7 +5,8,26184,5,1,3,1,41,2.7,-0.03,64,Y,0.67,P,7,P,94,1,4,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,759.473663,g 700+,g 700-760,0.96252674,2.7 +3,4,26205,4,1,6,3,32,2.7,-0.44,66,Y,-0.31,P,7,P,95,2,3,-59,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.368406,e 580-640,e 580-640,0.96252674,2.7 +2,1,26242,2,2,7,3,38,2.7,-1.07,67,Y,-1.81,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +1,1,26250,2,2,6,1,28,2.7,-1.22,64,Y,-1.37,F,7,F,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,554.210514,d 520-580,d 520-580,0.96252674,2.7 +6,8,26347,6,2,7,2,34.5,2.7,0.19,68,Y,0.76,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,656.8420885,f 640-700,f 640-700,0.96252674,2.7 +1,1,26364,1,2,7,1,39,2.7,-1.66,,Y,-2.04,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +2,2,26400,2,2,3,1,27,2.7,-1.02,68,Y,-1.14,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,538.421041,d 520-580,d 520-580,0.96252674,2.7 +5,6,26411,5,2,7,3,34,2.7,-0.12,67,Y,0.07,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +,,26419,,1,5,3,27,2.7,,66,Y,,P,7,P,95,2,3,-59,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +1,1,26426,2,2,4,3,36,2.7,-1.22,68,Y,-1.44,P,2,P,95,1,4,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +3,1,26453,3,2,7,2,37,2.7,-0.63,67,Y,-1.43,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,696.315771,f 640-700,f 640-700,0.96252674,2.7 +,,26496,,2,7,3,41,2.7,,47,Y,,P,2,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +5,5,26554,5,1,7,2,29,2.7,-0.1,61,Y,-0.19,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,569.999987,d 520-580,d 520-580,0.96252674,2.7 +9,9,26556,10,2,7,3,39,2.7,1.26,66,Y,1.29,P,6,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +6,7,26569,6,2,7,3,34,2.7,0.19,58,Y,0.33,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +7,4,26630,7,2,7,3,35,2.7,0.39,66,Y,-0.39,P,2,P,96,2,,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.736825,f 640-700,f 640-700,0.96252674,2.7 +7,2,26643,7,2,3,1,34,2.7,0.43,67,Y,-0.98,F,2,P,95,1,3,-65,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,648.947352,f 640-700,f 640-700,0.96252674,2.7 +3,2,26674,3,1,3,4,26,2.7,-0.54,60,Y,-1.08,F,7,P,96,2,3,-53,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,522.631568,d 520-580,d 520-580,0.96252674,2.7 +3,2,26708,3,2,7,3,40,2.7,-0.64,66,Y,-0.9,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.68419,g 700+,g 700-760,0.96252674,2.7 +5,7,26791,6,2,3,6,23.5,2.7,0.02,59,Y,0.28,P,7,P,94,1,3,-52,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,483.1578855,c 460-520,c 460-520,0.96252674,2.7 +,,26837,,1,3,6,21,2.7,,69,Y,,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,443.684203,b 400-460,b 400-460,0.96252674,2.7 +2,2,26914,3,2,7,3,33,2.7,-0.78,61,Y,-0.95,P,2,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.157879,e 580-640,e 580-640,0.96252674,2.7 +9,8,26933,9,1,7,3,38,2.7,1.1,62,Y,0.86,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.105244,g 700+,g 700-760,0.96252674,2.7 +7,3,26942,7,2,6,2,29,2.7,0.44,65,Y,-0.8,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,569.999987,d 520-580,d 520-580,0.96252674,2.7 +6,6,26948,6,2,7,3,39,2.7,0.07,69,Y,-0.02,P,2,P,94,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +4,5,26972,4,2,7,1,35.3,2.7,-0.42,68,Y,-0.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,669.4736669,f 640-700,f 640-700,0.96252674,2.7 +1,1,27001,1,2,7,5,42,2.7,-1.61,68,Y,-1.79,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,775.263136,g 700+,h 760-820,0.96252674,2.7 +10,10,27019,10,1,2,3,39,2.7,1.58,66,Y,1.49,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,727.894717,g 700+,g 700-760,0.96252674,2.7 +1,1,27046,1,1,7,3,37,2.7,-1.51,68,Y,-1.89,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.315771,f 640-700,f 640-700,0.96252674,2.7 +3,3,27051,3,1,4,3,27,2.7,-0.54,66,Y,-0.72,P,7,P,94,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,538.421041,d 520-580,d 520-580,0.96252674,2.7 +1,2,27056,2,2,3,6,29,2.7,-1.03,69,Y,-1.21,F,7,P,95,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,569.999987,d 520-580,d 520-580,0.96252674,2.7 +6,4,27068,6,1,7,3,41,2.7,0.13,65,Y,-0.48,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.473663,g 700+,g 700-760,0.96252674,2.7 +4,9,27156,4,1,7,4,35,2.7,-0.28,65,Y,1.07,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,664.736825,f 640-700,f 640-700,0.96252674,2.7 +2,4,27158,2,1,6,4,28.5,2.7,-0.93,68,Y,-0.45,F,7,F,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,562.1052505,d 520-580,d 520-580,0.96252674,2.7 +10,10,27226,10,1,7,3,36,2.7,2.01,55,Y,2.27,P,2,P,96,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,680.526298,f 640-700,f 640-700,0.96252674,2.7 +2,1,27266,3,1,3,1,29,2.7,-0.76,68,Y,-1.5,F,7,F,94,1,1,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,569.999987,d 520-580,d 520-580,0.96252674,2.7 +2,2,27276,3,2,2,3,30,2.7,-0.74,68,Y,-1.1,P,7,P,94,1,2,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,585.78946,e 580-640,e 580-640,0.96252674,2.7 +2,2,27292,3,1,8,1,32,2.7,-0.79,67,Y,-1.11,F,7,F,94,1,4,-60,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,4,617.368406,e 580-640,e 580-640,0.96252674,2.7 +4,2,27294,4,2,7,1,40,2.7,-0.33,67,Y,-0.9,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.68419,g 700+,g 700-760,0.96252674,2.7 +1,2,27343,2,2,6,4,38,2.7,-1.21,68,Y,-1.14,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,712.105244,g 700+,g 700-760,0.96252674,2.7 +,,27347,,2,7,4,32,2.7,,38,Y,,P,7,P,94,2,2,-31,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,617.368406,e 580-640,e 580-640,0.96252674,2.7 +,,27348,,2,7,6,34,2.7,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,648.947352,f 640-700,f 640-700,0.96252674,2.7 +5,4,27374,5,2,7,2,33,2.7,-0.1,68,Y,-0.59,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.157879,e 580-640,e 580-640,0.96252674,2.7 +1,1,27416,1,2,4,1,25,2.7,-2.08,60,Y,-2.27,F,2,F,96,1,1,-58,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,506.842095,c 460-520,c 460-520,0.96252674,2.7 +3,3,27423,3,1,7,3,34,2.7,-0.67,66,Y,-0.73,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.947352,f 640-700,f 640-700,0.96252674,2.7 +8,7,27445,8,1,7,1,39,2.7,0.72,66,Y,0.39,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.894717,g 700+,g 700-760,0.96252674,2.7 +1,1,27449,2,1,4,1,29,2.7,-1.23,64,Y,-1.63,P,7,P,94,1,4,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,569.999987,d 520-580,d 520-580,0.96252674,2.7 +4,1,27468,4,2,4,6,29,2.7,-0.31,67,Y,-1.38,F,2,F,95,1,3,-65,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,569.999987,d 520-580,d 520-580,0.96252674,2.7 +3,2,34,3,1,4,1,36,3.1,-0.67,68,Y,-0.9,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,8,45,9,2,7,4,39,3.1,1.02,59,Y,0.73,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +,,53,,2,7,5,41,3.1,,67,Y,,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,4,63,3,2,6,4,35,3.1,-0.67,68,Y,-0.28,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +6,5,95,7,1,7,1,35,3.1,0.31,65,Y,-0.01,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,3,107,6,2,6,6,27,3.1,0.05,68,Y,-0.68,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,578.421041,d 520-580,d 520-580,0.9710712,3.1 +9,8,126,9,1,7,3,32,3.1,1.04,68,Y,0.64,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +10,3,137,10,1,7,4,28.3,3.1,1.54,62,Y,-0.82,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,598.9473559,e 580-640,e 580-640,0.9710712,3.1 +6,3,163,6,1,7,4,35.5,3.1,0.14,69,Y,-0.65,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,712.6315615,g 700+,g 700-760,0.9710712,3.1 +4,5,170,4,2,7,1,36,3.1,-0.25,69,Y,-0.05,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,9,176,5,2,3,6,31,3.1,-0.19,68,Y,1.07,P,2,P,95,1,4,-66,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,641.578933,f 640-700,f 640-700,0.9710712,3.1 +2,1,200,2,1,4,4,40,3.1,-1.03,66,Y,-1.78,F,2,P,95,1,4,-64,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,3,204,3,2,7,3,33,3.1,-0.52,53,Y,-0.76,P,7,P,95,2,3,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,3,211,3,1,7,2,26,3.1,-0.58,67,Y,-0.69,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,562.631568,d 520-580,d 520-580,0.9710712,3.1 +,,230,,1,7,5,37.7,3.1,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,747.3684021,g 700+,g 700-760,0.9710712,3.1 +7,8,266,7,1,7,2,33.5,3.1,0.34,69,Y,0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +4,8,284,4,2,7,3,32,3.1,-0.37,69,Y,0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +9,10,288,9,2,7,3,33,3.1,1.19,68,Y,1.7,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,3,292,4,2,6,3,23,3.1,-0.44,69,Y,-0.77,P,2,P,94,1,5,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,515.263149,c 460-520,c 460-520,0.9710712,3.1 +10,10,301,10,1,7,2,45,3.1,2.23,68,Y,2.14,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,862.631555,g 700+,i 820+,0.9710712,3.1 +1,1,329,1,2,4,5,31,3.1,-1.99,69,Y,-2.03,P,7,P,94,1,1,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,641.578933,f 640-700,f 640-700,0.9710712,3.1 +10,10,359,10,1,3,6,28,3.1,2.23,66,Y,2.18,P,2,P,95,1,3,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,594.210514,e 580-640,e 580-640,0.9710712,3.1 +3,2,360,3,1,7,1,37,3.1,-0.72,69,Y,-1.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,2,379,4,1,7,4,40.5,3.1,-0.43,66,Y,-0.92,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,791.5789265,g 700+,h 760-820,0.9710712,3.1 +9,9,419,9,2,7,3,30.5,3.1,0.96,68,Y,0.91,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +1,3,424,1,2,4,1,33,3.1,-1.31,68,Y,-0.84,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +1,4,427,1,1,6,2,28,3.1,-1.27,68,Y,-0.53,P,2,P,94,1,1,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,594.210514,e 580-640,e 580-640,0.9710712,3.1 +1,1,440,1,2,7,1,28,3.1,-1.82,54,Y,-2.27,F,7,F,95,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +6,5,452,6,1,7,1,40,3.1,0.19,55,Y,-0.11,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +9,10,496,9,2,7,3,42,3.1,1.18,57,Y,1.74,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,4,521,3,2,7,2,29,3.1,-0.58,54,Y,-0.55,F,7,F,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +3,4,531,4,1,7,4,33,3.1,-0.46,68,Y,-0.49,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,8,533,8,1,7,3,37,3.1,0.62,68,Y,0.56,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,2,541,2,2,7,3,37,3.1,-1.11,57,Y,-1.03,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,5,547,6,1,7,1,41,3.1,0.16,56,Y,-0.02,P,2,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,9,558,9,2,7,4,45,3.1,1.24,65,Y,0.87,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +4,3,562,4,2,7,2,35.5,3.1,-0.37,67,Y,-0.76,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,712.6315615,g 700+,g 700-760,0.9710712,3.1 +6,9,571,6,2,7,2,31,3.1,0.07,68,Y,0.98,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,2,575,1,2,7,1,38,3.1,-1.57,69,Y,-1.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,8,598,8,2,7,3,36,3.1,0.68,68,Y,0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,3,624,3,2,7,2,29,3.1,-0.64,68,Y,-0.7,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +8,8,628,8,2,7,3,37,3.1,0.65,63,Y,0.59,P,2,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,6,637,8,1,6,1,35,3.1,0.87,66,Y,0.23,P,7,P,94,1,4,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,7,661,5,2,7,3,39,3.1,-0.06,67,Y,0.29,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,8,662,10,1,7,3,37,3.1,1.33,69,Y,0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,4,668,2,2,7,1,39,3.1,-1.15,65,Y,-0.4,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,2,678,3,2,4,1,36,3.1,-0.79,68,Y,-1.06,P,2,P,95,1,3,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,5,680,6,2,7,1,39,3.1,0.08,69,Y,-0.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,2,696,2,1,3,4,28,3.1,-1.24,65,Y,-0.97,P,7,P,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,594.210514,e 580-640,e 580-640,0.9710712,3.1 +3,3,773,4,2,7,3,30,3.1,-0.47,53,Y,-0.59,P,7,P,94,1,2,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +7,6,780,7,1,7,3,42,3.1,0.48,67,Y,0.17,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,781,,2,7,1,37,3.1,,60,Y,1.09,P,7,P,95,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,9,800,8,2,7,3,34,3.1,0.82,68,Y,0.94,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,3,827,5,2,7,5,42,3.1,-0.2,66,Y,-0.67,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,2,867,3,1,7,1,25.5,3.1,-0.59,64,Y,-0.97,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,554.7368315,d 520-580,d 520-580,0.9710712,3.1 +1,4,871,2,2,7,2,27,3.1,-1.27,65,Y,-0.4,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,578.421041,d 520-580,d 520-580,0.9710712,3.1 +5,3,873,6,2,7,2,27.5,3.1,-0.02,68,Y,-0.77,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,586.3157775,e 580-640,e 580-640,0.9710712,3.1 +2,4,882,2,2,7,4,45,3.1,-0.82,68,Y,-0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +2,1,895,3,2,7,3,44,3.1,-0.79,68,Y,-1.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +1,1,917,1,2,7,5,32.5,3.1,-2.06,68,Y,-1.84,F,7,F,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +6,3,922,6,1,7,4,37,3.1,0.06,66,Y,-0.57,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,8,923,8,1,7,2,30,3.1,0.54,69,Y,0.69,P,7,P,95,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +3,3,930,3,1,7,3,38,3.1,-0.59,47,Y,-0.86,P,7,P,94,1,2,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,7,932,9,2,7,4,35,3.1,0.89,67,Y,0.48,P,7,P,95,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +,,945,,2,7,3,34,3.1,,69,Y,-1.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,1,1013,3,1,6,1,33,3.1,-0.81,69,Y,-1.55,F,7,P,95,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,8,1016,7,2,7,4,37,3.1,0.43,67,Y,0.85,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,4,1019,4,1,7,3,37,3.1,-0.5,69,Y,-0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,2,1023,4,2,6,5,36,3.1,-0.49,69,Y,-0.91,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,9,1059,9,1,7,1,36,3.1,1.27,66,Y,1.04,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +8,7,1072,8,1,7,1,40,3.1,0.72,68,Y,0.39,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,3,1079,2,2,7,1,42,3.1,-0.96,67,Y,-0.58,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,1094,1,2,1,3,32,3.1,-1.65,67,Y,-1.61,P,7,P,94,1,2,-60,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +3,3,1116,3,2,7,3,39,3.1,-0.59,69,Y,-0.81,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,7,1124,8,1,8,4,38,3.1,0.6,65,Y,0.44,P,7,P,94,1,3,-58,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,3,1186,5,1,7,1,43,3.1,-0.21,68,Y,-0.56,F,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +,,1217,,1,2,5,41,3.1,,66,Y,,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,799.473663,g 700+,h 760-820,0.9710712,3.1 +8,7,1227,9,1,7,3,40,3.1,0.84,69,Y,0.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,3,1233,3,1,7,3,33,3.1,-0.6,67,Y,-0.85,P,2,P,95,2,5,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,4,1239,3,1,7,1,38,3.1,-0.76,66,Y,-0.4,P,2,P,95,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +,,1243,,1,6,5,31,3.1,,60,Y,,F,2,P,95,1,4,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,641.578933,f 640-700,f 640-700,0.9710712,3.1 +8,8,1249,8,2,7,3,30,3.1,0.75,68,Y,0.8,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +5,6,1259,5,1,7,3,34,3.1,-0.03,48,Y,0.08,F,7,F,95,2,4,-41,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,5,1261,8,2,7,4,38,3.1,0.58,67,Y,-0.13,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,8,1268,10,1,7,3,39,3.1,1.44,68,Y,0.84,P,7,P,94,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,9,1286,10,2,7,3,33,3.1,1.39,68,Y,1.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,1301,10,2,3,6,34,3.1,1.52,59,Y,1.96,P,7,P,94,1,2,-52,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,9,1302,10,2,7,5,46,3.1,2.03,63,Y,0.98,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,878.421028,g 700+,i 820+,0.9710712,3.1 +4,6,1310,5,2,7,3,42,3.1,-0.19,68,Y,0.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +9,9,1312,9,2,7,3,39,3.1,0.97,67,Y,1.03,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,3,1338,5,2,7,1,34,3.1,-0.1,67,Y,-0.64,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,2,1365,3,1,7,3,44,3.1,-0.69,68,Y,-1.21,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +8,4,1384,8,2,7,2,29.5,3.1,0.66,67,Y,-0.57,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +1,1,1388,1,2,3,1,26,3.1,-2.4,68,Y,-3.05,F,2,F,95,1,2,-66,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,562.631568,d 520-580,d 520-580,0.9710712,3.1 +2,2,1396,3,2,7,3,27,3.1,-0.82,49,Y,-1.16,P,2,P,95,1,1,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,578.421041,d 520-580,d 520-580,0.9710712,3.1 +3,3,1422,3,2,7,1,41,3.1,-0.65,67,Y,-0.71,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,3,1431,4,2,7,3,33,3.1,-0.45,69,Y,-0.76,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,5,1457,4,2,7,2,33,3.1,-0.3,68,Y,-0.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,2,1471,5,1,7,3,27.5,3.1,-0.15,69,Y,-0.98,F,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,586.3157775,e 580-640,e 580-640,0.9710712,3.1 +3,3,1473,3,1,7,3,30.5,3.1,-0.64,67,Y,-0.63,P,2,P,94,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +1,2,1481,1,2,7,3,33,3.1,-1.42,67,Y,-1.03,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,9,1483,9,1,7,3,38,3.1,0.84,67,Y,0.94,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,7,1492,8,1,7,3,34,3.1,0.65,51,Y,0.52,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,7,1529,6,2,7,3,35,3.1,0.15,68,Y,0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,1,1540,3,2,7,3,33.5,3.1,-0.76,67,Y,-1.5,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +3,2,1543,3,2,7,1,44,3.1,-0.67,68,Y,-0.98,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +5,6,1547,5,2,7,3,39,3.1,-0.1,68,Y,0.22,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,4,1553,3,1,4,3,32,3.1,-0.55,66,Y,-0.44,P,7,P,94,1,3,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +,,1573,,1,7,1,41,3.1,,63,Y,-0.72,P,7,P,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +,,1586,7,2,7,3,42,3.1,0.43,67,Y,,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,2,1629,3,2,8,5,34,3.1,-0.81,67,Y,-1.02,P,7,P,94,1,4,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,4,1637,7,2,7,3,30,3.1,0.44,69,Y,-0.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +5,6,1686,6,1,7,1,40,3.1,0.07,48,Y,0.08,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,3,1700,3,1,7,2,31,3.1,-0.66,62,Y,-0.72,F,7,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,1,1703,2,2,7,1,34.5,3.1,-1.18,68,Y,-1.5,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +7,9,1705,7,1,7,6,34,3.1,0.49,68,Y,0.97,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,7,1710,7,1,7,3,38,3.1,0.51,63,Y,0.51,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,3,1712,1,2,3,1,28,3.1,-2.17,56,Y,-0.77,F,7,P,96,2,2,-49,male,1,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +9,8,1716,9,2,7,3,34,3.1,0.87,69,Y,0.84,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,2,1735,3,1,3,1,25,3.1,-0.65,69,Y,-1.15,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,546.842095,d 520-580,d 520-580,0.9710712,3.1 +7,7,1750,7,1,7,1,34,3.1,0.46,46,Y,0.5,P,7,P,94,1,4,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,4,1785,2,1,7,1,36,3.1,-0.83,69,Y,-0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,2,1815,4,2,7,4,36,3.1,-0.34,69,Y,-1.06,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,5,1849,7,1,7,2,27,3.1,0.26,66,Y,-0.27,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,578.421041,d 520-580,d 520-580,0.9710712,3.1 +7,6,1905,7,1,7,3,36,3.1,0.5,66,Y,0.16,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,6,1925,4,2,7,4,35,3.1,-0.4,69,Y,0.1,F,7,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,1,1928,1,1,6,3,24,3.1,-1.43,68,Y,-1.54,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +1,1,1929,1,1,8,3,19.5,3.1,-1.54,62,Y,-2.84,F,7,F,94,1,2,-55,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,459.9999935,b 400-460,b 400-460,0.9710712,3.1 +2,2,2006,3,2,7,4,34.5,3.1,-0.8,67,Y,-1.2,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +,,2023,,2,2,5,44,3.1,,65,Y,,P,7,P,94,1,1,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,846.842082,g 700+,i 820+,0.9710712,3.1 +7,8,2068,8,2,7,1,40,3.1,0.58,61,Y,0.6,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,1,2071,1,2,7,3,33.5,3.1,-1.57,52,Y,-2.2,P,7,P,94,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +4,6,2072,4,2,7,5,39,3.1,-0.3,69,Y,0.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,9,2073,10,2,7,4,44,3.1,1.37,67,Y,0.93,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,846.842082,g 700+,i 820+,0.9710712,3.1 +2,2,2078,2,1,3,4,34,3.1,-1.02,69,Y,-0.86,P,2,P,94,1,2,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,2,2104,3,1,7,3,31,3.1,-0.53,69,Y,-0.92,P,6,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,6,2132,7,2,7,1,42,3.1,0.48,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,8,2143,8,2,7,2,34,3.1,0.69,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +,,2148,2,2,7,1,35,3.1,-0.93,56,X,,F,2,F,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,7,2156,10,2,4,3,30,3.1,1.29,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +2,1,2162,2,2,7,3,40,3.1,-0.95,69,Y,-1.65,P,6,P,94,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,6,2165,3,1,7,1,40,3.1,-0.69,69,Y,0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,1,2222,4,2,7,1,42,3.1,-0.48,69,Y,-1.37,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +9,7,2252,9,2,7,1,42,3.1,0.96,66,Y,0.51,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,2274,1,1,3,3,21,3.1,-1.88,69,Y,-1.43,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,483.684203,c 460-520,c 460-520,0.9710712,3.1 +,,2295,,2,7,3,35,3.1,,67,X,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,5,2298,8,2,7,1,37,3.1,0.74,68,Y,-0.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,1,2334,1,1,7,1,36,3.1,-1.45,64,Y,-1.51,P,2,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,6,2335,6,1,7,3,35,3.1,0.25,69,Y,-0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,8,2339,6,2,7,2,36,3.1,-0.01,66,Y,0.55,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,9,2342,9,1,7,3,38,3.1,1.12,64,Y,1.03,P,2,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,2361,2,2,7,3,38,3.1,-0.94,68,Y,-1.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,4,2376,4,1,7,3,24,3.1,-0.39,64,Y,-0.49,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +3,4,2377,3,1,7,3,31,3.1,-0.58,69,Y,-0.34,P,2,P,95,2,4,-67,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +4,3,2397,4,2,2,5,38,3.1,-0.28,68,Y,-0.57,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,6,2420,8,2,7,3,34,3.1,0.75,69,Y,0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,2423,1,1,2,3,31,3.1,-1.72,69,Y,-1.34,F,7,P,95,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +8,8,2457,8,2,7,3,37,3.1,0.7,69,Y,0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,4,2461,3,2,7,3,35,3.1,-0.72,68,Y,-0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,2,2468,2,1,7,3,36,3.1,-0.88,66,Y,-0.89,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,3,2482,4,2,7,1,39,3.1,-0.35,65,Y,-0.62,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,3,2495,4,2,7,1,41,3.1,-0.44,69,Y,-0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,2,2565,5,2,7,3,36,3.1,-0.23,68,Y,-1.06,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,2614,1,2,7,3,35.3,3.1,-1.61,68,Y,-1.74,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,709.4736669,g 700+,g 700-760,0.9710712,3.1 +,,2618,,2,7,,22.7,3.1,-0.46,68,Y,-0.5,P,2,P,95,2,4,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,510.5263071,c 460-520,c 460-520,0.9710712,3.1 +5,7,2647,5,1,7,3,34,3.1,-0.07,68,Y,0.48,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,4,2665,5,1,7,1,43,3.1,0.01,67,Y,-0.45,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +9,10,2701,9,2,7,4,34,3.1,1.15,64,Y,1.63,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,6,2715,4,1,7,4,35.5,3.1,-0.48,59,Y,0.11,P,2,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,712.6315615,g 700+,g 700-760,0.9710712,3.1 +1,1,2757,1,2,5,1,26,3.1,-2.06,68,Y,-2.06,F,7,F,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,562.631568,d 520-580,d 520-580,0.9710712,3.1 +4,5,2768,5,2,4,4,33,3.1,-0.24,65,Y,-0.08,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,6,2773,5,2,7,2,26,3.1,-0.05,69,Y,0.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,562.631568,d 520-580,d 520-580,0.9710712,3.1 +9,7,2787,9,2,7,3,34,3.1,1.02,65,Y,0.53,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,3,2793,5,1,7,1,37,3.1,-0.07,69,Y,-0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,7,2795,2,2,7,3,36,3.1,-0.84,66,Y,0.5,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,2806,10,2,7,1,38,3.1,1.47,56,Y,1.38,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,4,2825,3,2,7,4,35,3.1,-0.81,68,Y,-0.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,2,2830,3,2,7,4,33,3.1,-0.8,69,Y,-1.2,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,2,2836,4,2,7,4,41,3.1,-0.49,63,Y,-1.06,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,10,2855,10,2,7,3,34,3.1,1.43,68,Y,1.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +,,2865,9,1,7,3,29.5,3.1,1.07,65,Y,,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +4,6,2872,4,1,7,3,37.5,3.1,-0.38,67,Y,0.14,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.2105075,g 700+,g 700-760,0.9710712,3.1 +5,6,2880,6,2,7,4,43,3.1,0.03,58,Y,0.13,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +6,3,2892,6,1,7,1,26,3.1,0.1,66,Y,-0.66,F,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,562.631568,d 520-580,d 520-580,0.9710712,3.1 +2,2,2894,3,1,8,4,35.5,3.1,-0.76,67,Y,-1.1,F,7,P,95,1,3,-60,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,712.6315615,g 700+,g 700-760,0.9710712,3.1 +6,8,2907,7,2,7,3,35,3.1,0.27,68,Y,0.69,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +6,6,2945,6,2,7,2,40,3.1,0.15,65,Y,0.17,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,6,2960,8,1,7,1,41,3.1,0.85,69,Y,0.15,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,4,2965,4,1,7,1,34,3.1,-0.5,63,Y,-0.42,P,2,P,96,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +,,2976,,1,7,4,38,3.1,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,6,2977,4,1,7,4,31,3.1,-0.36,65,Y,0.09,F,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,641.578933,f 640-700,f 640-700,0.9710712,3.1 +8,9,2981,8,2,7,2,38,3.1,0.73,67,Y,0.9,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,5,3001,4,2,7,2,28.5,3.1,-0.41,69,Y,-0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,602.1052505,e 580-640,e 580-640,0.9710712,3.1 +7,5,3007,7,2,7,3,24.5,3.1,0.33,67,Y,-0.25,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,538.9473585,d 520-580,d 520-580,0.9710712,3.1 +4,3,3034,4,1,7,3,31,3.1,-0.31,68,Y,-0.58,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,4,3042,7,2,7,3,33,3.1,0.49,67,Y,-0.3,F,6,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +9,8,3050,9,2,7,1,33,3.1,1.19,65,Y,0.59,P,7,P,94,2,5,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +1,1,3071,1,1,3,4,24,3.1,-1.37,68,Y,-1.96,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,531.052622,d 520-580,d 520-580,0.9710712,3.1 +5,5,3093,5,2,7,3,39,3.1,-0.08,66,Y,-0.2,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,7,3096,9,2,7,3,39.5,3.1,0.98,68,Y,0.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.7894535,g 700+,h 760-820,0.9710712,3.1 +7,8,3098,7,2,8,4,42,3.1,0.34,69,Y,0.66,P,7,P,94,1,5,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,2,3131,4,2,7,3,38,3.1,-0.36,65,Y,-0.98,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,9,3135,10,1,7,1,30,3.1,1.86,64,Y,1.14,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,625.78946,e 580-640,e 580-640,0.9710712,3.1 +5,6,3139,5,1,7,1,41,3.1,0.02,69,Y,0.09,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +2,2,3140,3,2,7,3,36,3.1,-0.76,67,Y,-1.11,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,9,3160,9,2,6,5,48,3.1,0.99,67,Y,1.24,P,7,P,94,1,5,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,909.999974,g 700+,i 820+,0.9710712,3.1 +9,7,3166,9,2,3,4,30,3.1,0.97,65,Y,0.37,P,7,P,94,1,1,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,625.78946,e 580-640,e 580-640,0.9710712,3.1 +8,9,3167,8,1,7,5,45,3.1,0.92,64,Y,0.91,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,862.631555,g 700+,i 820+,0.9710712,3.1 +,,3176,9,2,7,1,39,3.1,1.06,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,7,3202,8,1,7,4,40,3.1,0.65,69,Y,0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +9,8,3215,9,1,7,3,36,3.1,0.92,68,Y,0.79,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,5,3228,4,1,7,3,35,3.1,-0.42,68,Y,-0.27,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,10,3246,10,2,7,3,36,3.1,2.16,65,Y,1.94,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,2,3265,5,2,7,1,32.5,3.1,-0.19,63,Y,-1.19,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +2,1,3294,3,2,3,2,26,3.1,-0.84,65,Y,-1.71,F,7,F,94,1,1,-58,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,562.631568,d 520-580,d 520-580,0.9710712,3.1 +4,3,3303,4,2,7,2,25,3.1,-0.39,55,Y,-0.69,P,7,P,94,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,546.842095,d 520-580,d 520-580,0.9710712,3.1 +9,8,3315,9,2,7,3,30.5,3.1,0.87,68,Y,0.81,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +4,6,3319,5,2,7,1,41,3.1,-0.19,66,Y,0.29,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,10,3340,10,2,7,3,34,3.1,1.73,68,Y,1.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,5,3355,4,2,7,3,41,3.1,-0.51,69,Y,-0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,9,3367,9,2,7,3,32,3.1,0.92,68,Y,1.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +1,2,3396,2,1,7,3,40,3.1,-1.22,69,Y,-1.13,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,9,3402,8,2,7,3,31.5,3.1,0.8,69,Y,1.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +6,6,3417,6,1,7,3,32.7,3.1,0.2,68,Y,0.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.4210371,f 640-700,f 640-700,0.9710712,3.1 +2,1,3443,2,1,3,4,33,3.1,-0.89,63,Y,-1.32,P,7,P,94,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,5,3447,6,1,7,3,36.5,3.1,0.09,67,Y,-0.15,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.4210345,g 700+,g 700-760,0.9710712,3.1 +7,6,3456,7,2,7,5,37,3.1,0.58,68,Y,0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,7,3460,8,2,7,3,30,3.1,0.63,68,Y,0.34,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +,,3483,,1,7,,33,3.1,1.24,68,Y,1.55,P,7,P,94,2,2,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,6,3485,8,1,7,3,36,3.1,0.79,61,Y,0,P,7,P,95,2,2,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,9,3492,9,2,7,3,40,3.1,1.19,67,Y,1.1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +5,4,3525,5,2,7,3,35,3.1,-0.02,67,Y,-0.4,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,5,3540,5,1,3,3,34,3.1,-0.1,59,Y,-0.25,F,7,P,95,1,3,-52,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,6,3590,4,1,7,3,35,3.1,-0.41,69,Y,0.2,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,3,3640,3,2,7,3,33,3.1,-0.66,63,Y,-0.6,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,4,3656,3,2,7,1,40,3.1,-0.78,67,Y,-0.4,P,6,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,7,3671,8,1,7,4,42,3.1,0.56,68,Y,0.35,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,6,3734,5,1,7,1,34,3.1,-0.12,56,Y,0.11,P,2,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,3,3739,4,2,7,1,37,3.1,-0.4,67,Y,-0.87,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,5,3765,5,1,7,1,34,3.1,0.01,46,Y,-0.04,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,3,3767,4,2,7,4,42,3.1,-0.41,54,Y,-0.59,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,3791,2,2,7,1,39,3.1,-1.23,62,Y,-1.42,F,7,F,95,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,3,3798,2,2,7,1,44,3.1,-0.89,42,Y,-0.83,F,7,F,94,1,3,-35,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +6,7,3810,6,1,7,3,35.5,3.1,0.24,67,Y,0.29,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.6315615,g 700+,g 700-760,0.9710712,3.1 +3,5,3812,4,1,7,3,33,3.1,-0.44,68,Y,-0.09,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,3819,10,1,7,4,38,3.1,1.53,69,Y,1.86,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,3822,1,2,3,1,29,3.1,-1.55,68,Y,-1.54,F,7,P,95,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,609.999987,e 580-640,e 580-640,0.9710712,3.1 +6,6,3844,6,2,7,1,42,3.1,0.17,66,Y,0.11,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +10,10,3857,10,1,7,3,46,3.1,1.61,61,Y,1.93,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,878.421028,g 700+,i 820+,0.9710712,3.1 +4,3,3870,4,2,7,3,38,3.1,-0.27,69,Y,-0.82,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,8,3879,6,2,7,1,39,3.1,0.19,66,Y,0.61,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,1,3886,1,1,7,3,30.5,3.1,-1.52,49,Y,-1.7,F,7,P,96,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +4,1,3896,4,2,2,3,36,3.1,-0.35,69,Y,-1.33,F,2,F,96,1,4,-67,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,5,3897,3,1,7,3,42,3.1,-0.66,69,Y,-0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +10,9,3938,10,2,7,3,33,3.1,1.45,69,Y,1.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,5,3948,4,2,7,4,38,3.1,-0.47,68,Y,-0.23,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,4,3959,7,2,7,3,39,3.1,0.3,68,Y,-0.34,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,3,3989,3,2,7,3,35,3.1,-0.76,65,Y,-0.7,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,8,4001,9,2,7,4,32,3.1,1.09,65,Y,0.73,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,657.368406,f 640-700,f 640-700,0.9710712,3.1 +3,4,4006,3,1,7,5,46,3.1,-0.55,66,Y,-0.4,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,878.421028,g 700+,i 820+,0.9710712,3.1 +8,9,4021,8,1,7,1,42,3.1,0.63,66,Y,0.93,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,2,4032,8,1,7,4,34,3.1,0.85,68,Y,-1.07,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,6,4033,6,1,7,1,42,3.1,0.21,65,Y,0.2,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,5,4038,5,2,8,1,28,3.1,-0.09,70,Y,-0.24,P,7,P,94,1,4,-63,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +3,5,4040,3,1,7,4,35,3.1,-0.74,69,Y,-0.08,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,10,4078,10,2,7,2,39,3.1,1.25,53,Y,1.69,P,2,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,5,4080,6,2,7,3,32.3,3.1,0.05,69,Y,-0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,662.1052479,f 640-700,f 640-700,0.9710712,3.1 +9,10,4082,9,2,7,3,34,3.1,1.18,65,Y,1.39,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,3,4088,5,2,6,3,28,3.1,-0.03,69,Y,-0.61,P,2,P,94,1,3,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +5,3,4096,5,1,6,3,30,3.1,-0.03,52,Y,-0.7,P,2,P,94,1,3,-50,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +5,2,4097,6,2,7,1,38,3.1,0.07,68,Y,-1.21,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +,,4109,,1,7,4,21,3.1,,69,Y,,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,483.684203,c 460-520,c 460-520,0.9710712,3.1 +2,3,4142,2,1,7,3,35,3.1,-1.02,67,Y,-0.88,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +7,6,4143,7,2,2,3,31,3.1,0.51,69,Y,0.18,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,3,4170,1,2,7,2,32,3.1,-1.29,69,Y,-0.62,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +1,4,4172,2,1,6,5,42,3.1,-1.21,69,Y,-0.48,P,7,P,94,1,5,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,4177,,2,7,4,44,3.1,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,846.842082,g 700+,i 820+,0.9710712,3.1 +10,10,4182,10,2,7,3,36,3.1,1.62,69,Y,1.73,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,6,4185,6,2,7,4,34,3.1,0.2,68,Y,0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,2,4209,1,2,3,1,25,3.1,-1.62,68,Y,-1.23,P,2,P,94,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,546.842095,d 520-580,d 520-580,0.9710712,3.1 +5,6,4243,5,1,7,1,43,3.1,-0.11,68,Y,0.16,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +2,3,4245,2,2,7,1,42,3.1,-0.86,69,Y,-0.67,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,6,4248,5,2,3,6,26,3.1,-0.05,68,Y,0.17,F,7,P,95,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,562.631568,d 520-580,d 520-580,0.9710712,3.1 +6,6,4263,6,1,7,1,45,3.1,0.12,64,Y,0.24,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +1,1,4269,1,1,3,1,25,3.1,-1.44,69,Y,-1.5,F,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,546.842095,d 520-580,d 520-580,0.9710712,3.1 +3,1,4299,4,1,6,3,36,3.1,-0.46,63,Y,-1.61,F,7,F,94,1,2,-56,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,1,4301,3,2,8,3,33,3.1,-0.63,68,Y,-1.75,P,7,P,94,1,2,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +9,8,4310,9,2,7,1,39,3.1,1.03,56,Y,0.87,P,2,P,94,1,1,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,6,4390,7,1,7,3,39,3.1,0.3,69,Y,0.16,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,9,4402,9,2,7,1,36,3.1,1.22,67,Y,1.07,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,3,4409,3,1,7,3,38,3.1,-0.65,59,Y,-0.64,P,7,P,95,2,4,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,2,4414,2,2,7,6,34,3.1,-1.16,67,Y,-1.01,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,8,4422,8,2,7,3,30,3.1,0.75,66,Y,0.67,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +9,7,4428,9,2,7,3,40,3.1,1.06,69,Y,0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,6,4435,8,2,7,2,31,3.1,0.8,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +9,9,4438,9,2,7,3,34,3.1,1.09,64,Y,1.12,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,5,4455,5,2,7,3,33,3.1,-0.05,67,Y,-0.06,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,3,4460,4,2,7,1,37,3.1,-0.26,69,Y,-0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,4,4462,7,1,7,3,32,3.1,0.28,56,Y,-0.43,P,7,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +7,6,4464,7,1,7,5,43,3.1,0.41,67,Y,0.26,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,831.052609,g 700+,i 820+,0.9710712,3.1 +1,1,4496,1,2,3,1,26,3.1,-1.53,69,Y,-1.96,F,2,P,95,1,2,-67,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,562.631568,d 520-580,d 520-580,0.9710712,3.1 +5,4,4512,5,1,7,3,40,3.1,-0.08,68,Y,-0.41,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +9,10,4540,9,2,7,2,26.5,3.1,1.03,68,Y,1.56,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,570.5263045,d 520-580,d 520-580,0.9710712,3.1 +4,5,4572,4,2,7,1,42,3.1,-0.26,64,Y,-0.06,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,4593,1,1,3,4,34,3.1,-1.93,68,Y,-1.85,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,4,4605,5,2,7,3,36,3.1,-0.1,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +2,2,4615,2,1,7,3,33,3.1,-0.9,69,Y,-0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,8,4618,9,1,7,3,40,3.1,0.84,64,Y,0.58,P,7,P,94,2,2,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +10,9,4621,10,2,7,4,32.5,3.1,2.26,62,Y,0.94,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +2,1,4646,3,1,3,3,27,3.1,-0.79,69,Y,-1.34,F,7,F,95,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,578.421041,d 520-580,d 520-580,0.9710712,3.1 +1,1,4662,1,1,7,1,39,3.1,-1.76,59,Y,-1.44,F,7,P,96,2,2,-52,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,4677,10,2,7,4,48,3.1,1.48,64,Y,1.31,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,909.999974,g 700+,i 820+,0.9710712,3.1 +7,6,4678,7,1,7,3,35,3.1,0.45,68,Y,0.19,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,5,4698,5,2,7,3,34,3.1,-0.15,63,Y,-0.04,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,5,4711,5,2,2,1,30,3.1,-0.1,68,Y,-0.21,P,7,P,94,1,5,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,625.78946,e 580-640,e 580-640,0.9710712,3.1 +9,7,4717,10,2,3,6,22,3.1,1.29,64,Y,0.3,F,7,F,94,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,499.473676,c 460-520,c 460-520,0.9710712,3.1 +4,5,4720,4,2,7,1,46,3.1,-0.29,69,Y,-0.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,878.421028,g 700+,i 820+,0.9710712,3.1 +2,2,4730,3,1,7,3,37,3.1,-0.81,70,Y,-0.97,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +10,10,4732,10,2,7,2,34,3.1,1.45,68,Y,1.43,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,1,4758,3,2,7,3,33,3.1,-0.71,69,Y,-1.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,1,4766,3,1,6,3,34,3.1,-0.73,70,Y,-1.8,F,7,F,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,2,4767,2,2,3,4,40,3.1,-1.23,66,Y,-1.06,P,7,P,94,1,1,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,3,4771,4,1,7,3,32,3.1,-0.34,68,Y,-0.63,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +3,4,4793,4,2,7,5,37.5,3.1,-0.5,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,744.2105075,g 700+,g 700-760,0.9710712,3.1 +7,5,4804,7,2,7,4,44,3.1,0.32,66,Y,0.01,P,2,P,94,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,846.842082,g 700+,i 820+,0.9710712,3.1 +2,4,4821,3,2,2,3,34,3.1,-0.78,66,Y,-0.47,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,8,4843,8,1,7,3,35,3.1,0.6,63,Y,0.62,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +4,6,4850,5,1,7,3,37,3.1,-0.21,69,Y,0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,8,4877,9,1,7,3,43,3.1,1.21,63,Y,0.8,P,7,P,94,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +6,8,4885,6,2,7,2,29,3.1,0.19,69,Y,0.72,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +,,4909,10,2,7,1,35,3.1,1.6,68,X,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,6,4912,8,1,7,3,39,3.1,0.57,61,Y,0.09,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +,,4916,4,1,3,5,29,3.1,-0.46,65,Y,,P,7,P,94,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,609.999987,e 580-640,e 580-640,0.9710712,3.1 +8,7,4932,8,2,7,4,41,3.1,0.8,69,Y,0.51,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,10,4934,10,2,7,6,45,3.1,2.15,62,Y,2.01,P,7,P,95,2,5,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,862.631555,g 700+,i 820+,0.9710712,3.1 +1,1,4941,1,1,7,4,38,3.1,-1.69,68,Y,-1.76,F,7,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +,,4953,,1,7,5,34,3.1,,58,Y,,F,2,P,96,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,688.947352,f 640-700,f 640-700,0.9710712,3.1 +9,9,4972,9,2,7,2,35,3.1,1.01,68,Y,1.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +,,5006,,1,7,4,35,3.1,,66,Y,-0.27,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,6,5009,5,1,7,4,33,3.1,-0.04,62,Y,0.18,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,4,5020,4,1,7,3,39,3.1,-0.42,68,Y,-0.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,2,5028,2,2,3,5,46,3.1,-1.23,69,Y,-0.99,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,878.421028,g 700+,i 820+,0.9710712,3.1 +7,6,5032,7,1,7,4,41,3.1,0.29,69,Y,0.25,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,7,5056,9,2,7,4,37,3.1,1,69,Y,0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,6,5106,7,1,7,2,34,3.1,0.35,69,Y,0.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,6,5146,6,2,7,1,43,3.1,0.11,68,Y,0.05,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +7,3,5158,7,1,7,3,37,3.1,0.34,67,Y,-0.57,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,5,5179,4,2,7,3,38,3.1,-0.34,68,Y,-0.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,5,5180,4,2,7,1,44,3.1,-0.39,66,Y,-0.04,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +8,7,5189,8,2,7,3,35,3.1,0.62,68,Y,0.5,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,4,5191,5,2,7,1,38,3.1,-0.07,67,Y,-0.38,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,5,5193,5,1,7,1,39,3.1,-0.18,69,Y,0,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,10,5206,9,2,7,2,33,3.1,1.15,67,Y,1.39,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,6,5208,6,2,7,1,39,3.1,0.17,68,Y,0.14,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,9,5213,10,2,7,4,38,3.1,2.04,61,Y,1.14,P,7,P,95,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,3,5222,5,1,7,3,34,3.1,-0.17,66,Y,-0.66,F,2,F,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,4,5233,3,1,3,6,31,3.1,-0.62,69,Y,-0.55,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,641.578933,f 640-700,f 640-700,0.9710712,3.1 +10,10,5238,10,2,7,3,40,3.1,2.54,66,Y,2.74,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,2,5242,2,2,7,3,34.5,3.1,-1.21,68,Y,-1.1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +3,4,5256,4,1,7,4,45,3.1,-0.48,65,Y,-0.34,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +7,10,5259,8,2,7,3,33,3.1,0.56,62,Y,1.63,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +,,5271,3,1,7,3,33,3.1,-0.71,67,X,,P,2,P,96,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,2,5287,3,2,6,3,31,3.1,-0.71,64,Y,-0.95,P,7,P,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +5,3,5290,6,2,7,2,32,3.1,0.01,69,Y,-0.8,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +1,1,5303,1,2,7,3,38,3.1,-2.49,67,Y,-1.94,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,6,5317,1,2,2,1,31,3.1,-1.34,,Y,0.17,P,7,P,94,1,2,,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,641.578933,f 640-700,f 640-700,0.9710712,3.1 +2,1,5331,2,2,3,3,23,3.1,-0.87,52,Y,-1.41,F,7,F,94,1,,-45,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,515.263149,c 460-520,c 460-520,0.9710712,3.1 +1,4,5342,1,1,2,1,44,3.1,-1.66,68,Y,-0.49,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +,,5385,,2,7,,25.5,3.1,0.99,67,Y,1.17,P,2,P,95,2,5,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,554.7368315,d 520-580,d 520-580,0.9710712,3.1 +10,8,5420,10,2,7,4,27.7,3.1,1.37,63,Y,0.85,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,589.4736721,e 580-640,e 580-640,0.9710712,3.1 +9,10,5425,9,2,7,3,39,3.1,0.99,67,Y,1.36,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,5,5474,6,1,7,3,37.5,3.1,0.03,68,Y,-0.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.2105075,g 700+,g 700-760,0.9710712,3.1 +10,8,5488,10,1,7,3,33,3.1,1.33,62,Y,0.71,F,6,F,94,1,1,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,9,5493,8,2,7,5,38,3.1,0.8,65,Y,1.01,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,9,5515,10,2,7,3,42,3.1,1.45,66,Y,1.3,P,2,P,95,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,6,5518,8,1,7,3,33,3.1,0.67,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,3,5519,4,1,7,3,30,3.1,-0.43,66,Y,-0.87,F,7,F,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +6,5,5520,7,1,7,3,34,3.1,0.3,65,Y,-0.12,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,3,5522,3,2,7,3,36.5,3.1,-0.56,69,Y,-0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.4210345,g 700+,g 700-760,0.9710712,3.1 +2,1,5567,2,2,7,1,41,3.1,-0.84,69,Y,-1.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +8,6,5578,8,2,7,1,35,3.1,0.74,68,Y,0.1,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +6,8,5585,6,1,7,1,38,3.1,0.23,63,Y,0.73,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,8,5587,9,2,7,3,41,3.1,1.14,61,Y,0.81,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,7,5604,8,2,3,6,31,3.1,0.62,69,Y,0.47,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,641.578933,f 640-700,f 640-700,0.9710712,3.1 +8,8,5626,8,1,7,3,34,3.1,0.8,69,Y,0.73,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +9,9,5652,9,2,7,2,36,3.1,1.08,65,Y,1.16,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,1,5661,3,1,7,3,36,3.1,-0.61,69,Y,-1.68,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,8,5690,9,1,7,4,38,3.1,1.25,69,Y,0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +,,5696,,2,,2,32,3.1,-0.76,69,Y,-0.84,F,7,P,95,1,4,-62,male,0,1,,,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +1,3,5734,1,2,7,3,32.5,3.1,-1.31,68,Y,-0.86,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +9,9,5738,9,2,7,3,31,3.1,1.13,69,Y,0.99,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,4,5754,2,1,7,3,33,3.1,-1.16,69,Y,-0.53,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,5782,10,2,7,1,44,3.1,1.74,68,Y,1.58,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +8,9,5806,8,2,7,1,32.5,3.1,0.85,63,Y,1.03,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +1,6,5821,1,2,7,3,33,3.1,-1.65,69,Y,0.21,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,5827,10,2,7,4,46,3.1,1.36,65,Y,1.79,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,878.421028,g 700+,i 820+,0.9710712,3.1 +1,1,5841,2,2,7,1,38,3.1,-1.19,67,Y,-1.48,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,5846,3,2,6,1,35,3.1,-0.74,66,Y,-0.96,F,7,P,96,1,1,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,1,5848,5,1,7,3,34,3.1,-0.08,61,Y,-1.35,P,2,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +,,5859,,2,7,6,32.5,3.1,,67,Y,,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +6,6,5862,6,1,4,3,35,3.1,0.17,68,Y,-0.01,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,2,5874,2,2,3,3,28,3.1,-0.85,69,Y,-1.11,F,7,P,95,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +10,9,5907,10,2,7,3,40,3.1,1.38,69,Y,1.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,2,5931,2,1,7,4,33.5,3.1,-0.95,68,Y,-0.94,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +9,5,5947,9,1,7,2,28,3.1,0.9,67,Y,-0.32,F,7,F,94,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,594.210514,e 580-640,e 580-640,0.9710712,3.1 +6,3,5955,6,2,7,1,37,3.1,0.15,65,Y,-0.72,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,5,5964,6,2,7,3,40,3.1,0.11,62,Y,-0.11,P,2,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,8,5987,7,2,7,1,43,3.1,0.53,69,Y,0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +5,4,6003,6,2,7,1,45,3.1,0.07,67,Y,-0.33,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +2,1,6029,2,1,6,4,39,3.1,-1.01,69,Y,-1.64,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,8,6047,7,2,7,1,38,3.1,0.51,68,Y,0.62,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,6057,3,1,7,3,45,3.1,-0.73,69,Y,-0.92,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +7,7,6078,7,2,7,1,42,3.1,0.44,50,Y,0.52,P,7,P,94,1,3,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +7,8,6081,7,2,7,2,33,3.1,0.44,68,Y,0.67,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,8,6083,8,2,7,4,43,3.1,0.8,68,Y,0.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +,,6100,7,1,7,3,40,3.1,0.44,71,Y,,P,7,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,2,6101,3,1,7,1,38,3.1,-0.81,69,Y,-1.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,3,6116,3,1,6,3,41,3.1,-0.78,54,Y,-0.7,P,7,P,94,1,3,-47,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,10,6125,10,1,7,3,38,3.1,1.46,65,Y,1.78,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,9,6139,8,1,7,5,42,3.1,0.82,62,Y,0.85,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +7,7,6167,7,1,7,4,41,3.1,0.33,63,Y,0.38,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +1,1,6172,1,2,7,2,34,3.1,-2.1,61,Y,-1.86,P,2,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,9,6183,9,2,7,3,37,3.1,0.85,69,Y,1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,1,6207,1,1,3,4,33,3.1,-1.37,65,Y,-1.45,P,7,P,94,1,1,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,6,6219,6,2,7,3,29,3.1,-0.01,66,Y,0.02,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +6,4,6224,6,1,2,4,41,3.1,0.08,68,Y,-0.45,F,7,P,95,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,7,6242,5,1,7,1,38,3.1,-0.01,57,Y,0.37,P,,P,,1,5,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,10,6243,10,2,7,3,42,3.1,2.08,63,Y,2.12,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +6,5,6247,7,2,7,1,39.5,3.1,0.33,67,Y,-0.14,P,2,P,94,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.7894535,g 700+,h 760-820,0.9710712,3.1 +2,3,6250,2,2,7,3,35,3.1,-0.84,61,Y,-0.59,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,6,6283,5,1,4,4,28,3.1,-0.12,65,Y,0.06,P,7,P,94,1,2,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,594.210514,e 580-640,e 580-640,0.9710712,3.1 +10,10,6385,10,2,7,1,39,3.1,1.84,63,Y,2.12,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,6,6386,5,2,7,3,36,3.1,-0.19,68,Y,0.11,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,9,6396,9,2,7,3,40,3.1,0.91,64,Y,0.94,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +10,9,6400,10,2,7,1,38,3.1,1.53,63,Y,1.14,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,7,6427,9,1,7,3,41,3.1,1.04,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,2,6466,5,2,7,4,41,3.1,-0.2,68,Y,-1.08,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +2,2,6490,2,1,7,4,35,3.1,-0.83,61,Y,-0.9,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +6,5,6498,7,2,7,3,32.5,3.1,0.28,68,Y,-0.06,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +8,6,6500,8,1,7,3,31,3.1,0.78,66,Y,-0.02,P,6,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,1,6514,1,2,7,3,30,3.1,-1.79,70,Y,-1.48,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +8,6,6515,8,2,7,4,32,3.1,0.78,58,Y,0.15,F,7,F,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,657.368406,f 640-700,f 640-700,0.9710712,3.1 +6,5,6540,6,2,7,3,33,3.1,0.14,69,Y,-0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,4,6566,7,1,7,1,35,3.1,0.49,68,Y,-0.53,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,4,6572,4,2,7,4,37,3.1,-0.47,69,Y,-0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,3,6576,2,1,7,3,30.3,3.1,-1.13,66,Y,-0.66,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,630.5263019,e 580-640,e 580-640,0.9710712,3.1 +10,10,6589,10,2,7,4,42,3.1,2.13,61,Y,2.36,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,6,6593,4,2,7,2,37,3.1,-0.44,52,Y,-0.02,P,2,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,736.315771,g 700+,g 700-760,0.9710712,3.1 +10,10,6619,10,2,7,1,40,3.1,1.85,69,Y,1.69,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +6,7,6633,7,2,4,6,32,3.1,0.36,54,Y,0.32,P,2,P,95,1,2,-52,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,657.368406,f 640-700,f 640-700,0.9710712,3.1 +2,2,6677,2,1,7,3,37,3.1,-0.86,67,Y,-1.21,F,7,P,95,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,2,6699,2,1,7,1,35,3.1,-1.05,69,Y,-0.95,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,1,6702,2,1,7,3,30.5,3.1,-1.19,69,Y,-1.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +3,3,6706,4,2,2,5,45,3.1,-0.51,61,Y,-0.74,P,7,P,94,1,3,-54,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,862.631555,g 700+,i 820+,0.9710712,3.1 +7,9,6708,7,2,7,3,38,3.1,0.38,68,Y,1.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,9,6710,9,2,7,3,38,3.1,1.23,69,Y,1.04,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +,,6741,,1,7,2,33,3.1,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,3,6747,4,1,7,3,27.3,3.1,-0.28,48,Y,-0.82,P,2,P,96,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,583.1578829,e 580-640,e 580-640,0.9710712,3.1 +6,4,6755,6,1,7,1,37,3.1,0.13,68,Y,-0.5,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +10,10,6767,10,1,7,4,38,3.1,1.3,69,Y,1.33,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,4,6768,10,2,7,3,44,3.1,1.35,66,Y,-0.31,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +5,5,6779,5,2,7,3,35,3.1,-0.15,65,Y,-0.12,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +6,7,6787,6,1,7,3,40,3.1,0.23,69,Y,0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,3,6805,3,2,7,1,41,3.1,-0.72,67,Y,-0.64,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,5,6808,5,1,7,1,37,3.1,-0.09,66,Y,-0.21,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,7,6816,9,2,1,1,40,3.1,0.88,64,Y,0.51,P,7,P,94,1,3,-57,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,6,6821,8,2,7,1,42,3.1,0.68,67,Y,0.27,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,6842,,1,7,4,36.5,3.1,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.4210345,g 700+,g 700-760,0.9710712,3.1 +10,10,6857,10,2,7,1,44,3.1,1.97,58,Y,2.23,P,7,P,95,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +5,4,6878,5,2,7,3,37,3.1,-0.13,63,Y,-0.41,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,5,6883,6,2,7,1,40,3.1,0.19,65,Y,-0.16,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,2,6896,2,2,3,5,39,3.1,-0.86,65,Y,-0.9,P,7,P,94,1,1,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,3,6911,3,1,7,4,37,3.1,-0.73,67,Y,-0.77,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,8,6914,7,2,7,4,46,3.1,0.49,69,Y,0.73,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,878.421028,g 700+,i 820+,0.9710712,3.1 +9,7,6920,9,2,7,3,41,3.1,0.88,69,Y,0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,2,6922,3,2,7,4,38,3.1,-0.73,68,Y,-1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,9,6925,10,2,7,3,34,3.1,1.28,69,Y,0.93,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,5,6953,6,1,7,5,39,3.1,0.25,70,Y,-0.1,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,1,6985,3,1,7,3,33,3.1,-0.7,43,Y,-1.33,F,2,F,95,,4,-41,female,,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,2,6998,2,1,7,3,32,3.1,-0.9,61,Y,-1.14,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,2,7002,5,1,2,3,26.5,3.1,-0.21,61,Y,-1.18,F,7,F,94,1,3,-54,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,570.5263045,d 520-580,d 520-580,0.9710712,3.1 +7,7,7007,7,1,7,3,34,3.1,0.45,67,Y,0.32,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,7009,10,2,7,5,43,3.1,1.83,66,Y,1.32,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,831.052609,g 700+,i 820+,0.9710712,3.1 +,,7019,,1,7,3,44,3.1,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +8,8,7020,8,1,7,1,43,3.1,0.7,68,Y,0.56,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +2,1,7061,2,2,7,3,38,3.1,-1.04,69,Y,-1.49,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,4,7071,3,2,7,4,39,3.1,-0.58,68,Y,-0.35,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,5,7092,5,2,7,1,41,3.1,-0.07,69,Y,-0.08,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,9,7098,7,2,7,1,40,3.1,0.52,66,Y,0.92,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +,,7102,,2,7,,40,3.1,-0.34,68,Y,-1.32,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,783.68419,g 700+,h 760-820,0.9710712,3.1 +6,7,7107,6,2,7,3,34,3.1,0.22,68,Y,0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,7,7144,5,2,7,1,41,3.1,0,62,Y,0.55,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,10,7150,10,2,7,3,40,3.1,1.62,68,Y,1.49,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,3,7151,2,2,7,2,35,3.1,-1.04,68,Y,-0.66,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,4,7163,2,1,7,2,29.3,3.1,-0.95,68,Y,-0.47,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,614.7368289,e 580-640,e 580-640,0.9710712,3.1 +7,7,7174,7,2,7,4,37,3.1,0.31,66,Y,0.29,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +,,7190,,2,7,2,35,3.1,,61,Y,,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,2,7214,3,1,2,3,33,3.1,-0.57,69,Y,-1.16,P,2,P,95,1,3,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,4,7228,6,1,6,2,24,3.1,0.19,64,Y,-0.37,F,2,P,95,1,,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,531.052622,d 520-580,d 520-580,0.9710712,3.1 +8,8,7269,8,2,7,1,45,3.1,0.79,68,Y,0.74,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +8,3,7305,8,2,7,3,39,3.1,0.63,67,Y,-0.64,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,9,7310,9,1,7,4,38,3.1,1.19,63,Y,1.27,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,8,7321,8,2,7,1,41,3.1,0.81,64,Y,0.79,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,5,7330,7,1,7,3,36,3.1,0.46,56,Y,-0.24,P,7,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,3,7357,3,1,2,3,33.7,3.1,-0.55,61,Y,-0.84,P,2,P,95,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,684.2105101,f 640-700,f 640-700,0.9710712,3.1 +4,5,7369,4,2,7,1,44,3.1,-0.24,63,Y,-0.08,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +7,6,7374,7,1,7,1,33,3.1,0.43,56,Y,0.15,P,2,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,4,7407,6,2,7,3,36,3.1,0.18,68,Y,-0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,6,7429,5,2,7,3,43,3.1,-0.18,46,Y,0.21,P,7,P,94,1,3,-39,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +5,6,7442,5,2,7,1,37.5,3.1,-0.01,67,Y,0.15,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.2105075,g 700+,g 700-760,0.9710712,3.1 +3,2,7448,3,1,7,1,40,3.1,-0.71,69,Y,-1.21,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,1,7463,1,2,7,4,41,3.1,-1.28,68,Y,-1.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,5,7471,8,1,7,1,44,3.1,0.61,68,Y,-0.21,P,7,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +3,3,7486,3,2,7,3,34,3.1,-0.7,65,Y,-0.68,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,7499,10,2,7,3,36,3.1,1.89,68,Y,1.8,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,6,7502,6,1,7,3,35,3.1,0.15,68,Y,0.11,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,1,7518,3,1,7,2,33,3.1,-0.8,64,Y,-1.29,F,7,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,5,7522,5,2,7,3,41,3.1,-0.22,68,Y,-0.06,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,4,7542,6,2,7,2,32,3.1,0.02,61,Y,-0.5,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +8,6,7547,8,2,7,4,36,3.1,0.74,60,Y,0.17,P,2,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,8,7559,9,2,2,3,34,3.1,0.91,69,Y,0.61,P,7,P,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,8,7567,10,1,7,3,36.5,3.1,1.33,67,Y,0.59,P,7,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.4210345,g 700+,g 700-760,0.9710712,3.1 +4,4,7619,4,2,7,2,30,3.1,-0.42,56,Y,-0.47,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +1,1,7671,2,1,7,3,36,3.1,-1.28,68,Y,-1.38,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,7696,1,2,4,3,29,3.1,-1.85,60,Y,-1.7,F,7,F,94,1,2,-53,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +6,8,7740,7,2,7,3,44,3.1,0.27,57,Y,0.66,P,7,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +2,1,7741,2,2,7,3,38,3.1,-1.03,69,Y,-1.87,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +7,6,7745,7,2,7,3,34,3.1,0.44,68,Y,0.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,7748,2,1,3,3,26,3.1,-1.13,62,Y,-1.5,F,7,F,94,1,2,-55,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,562.631568,d 520-580,d 520-580,0.9710712,3.1 +7,5,7756,7,1,7,3,38,3.1,0.46,68,Y,-0.08,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,5,7757,3,2,7,4,38,3.1,-0.57,69,Y,-0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,5,7801,5,2,3,1,32,3.1,-0.07,66,Y,-0.2,P,7,P,94,1,4,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,5,7813,4,1,7,1,34,3.1,-0.26,65,Y,-0.24,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +9,10,7840,9,1,7,1,42,3.1,1.28,69,Y,1.63,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +7,7,7861,7,2,7,3,36,3.1,0.36,67,Y,0.35,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,7,7862,6,2,7,3,40,3.1,0.12,69,Y,0.33,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,2,7871,3,2,4,3,29,3.1,-0.74,63,Y,-1.18,F,7,P,95,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +7,8,7875,7,1,2,4,39,3.1,0.4,68,Y,0.54,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,5,7927,9,2,7,3,39.5,3.1,1.14,68,Y,-0.1,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.7894535,g 700+,h 760-820,0.9710712,3.1 +9,8,7967,9,2,7,4,40,3.1,1.23,68,Y,0.54,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,5,7982,8,2,3,2,21,3.1,0.59,69,Y,-0.24,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,483.684203,c 460-520,c 460-520,0.9710712,3.1 +5,5,7994,5,1,7,1,44,3.1,-0.13,59,Y,-0.14,P,2,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +5,5,8042,5,1,7,3,32,3.1,-0.17,64,Y,-0.22,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +7,7,8053,7,2,7,3,39,3.1,0.48,68,Y,0.4,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,7,8056,4,1,7,3,38,3.1,-0.27,67,Y,0.32,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,9,8081,10,2,7,4,44,3.1,1.4,65,Y,1.22,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,846.842082,g 700+,i 820+,0.9710712,3.1 +2,1,8093,2,2,7,1,25.5,3.1,-0.92,66,Y,-1.82,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,554.7368315,d 520-580,d 520-580,0.9710712,3.1 +1,1,8094,2,1,3,2,29,3.1,-1.19,69,Y,-1.39,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +3,2,8118,3,2,7,3,35,3.1,-0.68,68,Y,-1.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,9,8128,8,2,7,2,34,3.1,0.75,68,Y,1.33,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,8162,10,2,7,3,37,3.1,1.97,67,Y,1.59,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,7,8176,8,2,7,3,38,3.1,0.69,69,Y,0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,4,8198,1,1,3,4,33,3.1,-1.56,69,Y,-0.35,P,7,P,94,1,5,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,7,8209,5,1,7,1,42,3.1,-0.12,69,Y,0.31,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,9,8231,8,1,7,3,35,3.1,0.57,67,Y,1.09,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,9,8347,8,2,7,3,35,3.1,0.65,69,Y,1.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,8,8357,8,2,7,3,38,3.1,0.63,69,Y,0.56,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,8388,2,2,7,3,36,3.1,-1.02,67,Y,-0.98,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,7,8393,8,2,7,3,34,3.1,0.53,69,Y,0.31,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,5,8408,4,2,7,2,30,3.1,-0.44,68,Y,-0.09,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +3,3,8409,3,2,7,2,30,3.1,-0.61,69,Y,-0.91,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +3,3,8421,3,1,1,3,34,3.1,-0.56,68,Y,-0.68,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +9,6,8451,9,1,7,1,33,3.1,1.08,65,Y,0.29,F,2,P,95,2,4,-63,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,4,8476,6,1,7,3,33.5,3.1,0.05,66,Y,-0.3,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +3,3,8491,4,1,1,1,28,3.1,-0.5,68,Y,-0.78,P,7,P,95,1,2,-61,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +5,6,8498,5,2,7,3,38,3.1,-0.1,69,Y,0.26,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,1,8517,3,1,6,5,32,3.1,-0.85,67,Y,-1.43,F,7,F,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,6,657.368406,f 640-700,f 640-700,0.9710712,3.1 +,,8518,,1,7,,37,3.1,0.99,67,Y,1.2,P,2,P,95,2,3,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,9,8523,8,2,7,1,40,3.1,0.7,71,Y,1.09,P,7,P,94,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,1,8531,1,2,7,1,38,3.1,-1.36,69,Y,-2.11,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,10,8561,10,2,7,1,42,3.1,1.42,66,Y,1.64,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,9,8562,9,2,7,1,35,3.1,0.89,64,Y,0.97,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,6,8614,6,1,7,3,32,3.1,0.04,69,Y,0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +1,1,8619,1,1,8,1,40,3.1,-1.31,69,Y,-1.42,F,7,F,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,7,8621,7,2,7,1,46,3.1,0.47,61,Y,0.42,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,878.421028,g 700+,i 820+,0.9710712,3.1 +4,6,8623,4,1,3,1,31,3.1,-0.24,63,Y,0.12,P,7,P,94,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,641.578933,f 640-700,f 640-700,0.9710712,3.1 +,,8667,,1,7,5,39,3.1,,65,Y,,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,7,8684,6,2,7,1,44,3.1,0.17,68,Y,0.4,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +7,8,8744,7,2,7,4,40,3.1,0.34,68,Y,0.82,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,3,8758,2,2,7,3,32,3.1,-1.09,56,Y,-0.65,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +9,10,8770,9,2,7,4,39,3.1,1.02,65,Y,1.49,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,9,8791,10,1,7,2,37,3.1,1.23,68,Y,1.09,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,2,8813,1,2,7,3,31.5,3.1,-1.72,49,Y,-1.01,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +9,10,8816,9,2,7,4,36,3.1,1.26,65,Y,1.56,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,9,8822,9,2,7,2,37,3.1,0.85,69,Y,1.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,736.315771,g 700+,g 700-760,0.9710712,3.1 +10,10,8823,10,1,7,1,42,3.1,1.91,66,Y,1.58,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +6,6,8824,6,2,7,1,36.5,3.1,0.2,61,Y,0.04,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.4210345,g 700+,g 700-760,0.9710712,3.1 +,,8826,,1,7,5,43,3.1,,49,Y,,P,7,P,94,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,831.052609,g 700+,i 820+,0.9710712,3.1 +8,9,8844,9,1,7,3,33.5,3.1,0.87,62,Y,0.88,P,2,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +7,7,8868,7,1,7,3,40,3.1,0.39,68,Y,0.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,3,8895,4,2,8,1,44,3.1,-0.4,66,Y,-0.79,P,7,P,94,1,2,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +,,8900,,2,7,3,37,3.1,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,5,8910,7,2,7,3,32,3.1,0.43,68,Y,-0.12,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +8,7,8921,8,1,7,2,31,3.1,0.74,67,Y,0.4,P,2,P,95,2,3,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +6,2,8925,7,2,7,3,36,3.1,0.27,67,Y,-1.19,P,7,P,94,2,5,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,8928,1,1,2,4,28,3.1,-1.36,47,Y,-1.84,F,2,P,95,1,1,-45,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,594.210514,e 580-640,e 580-640,0.9710712,3.1 +9,8,8941,9,1,7,5,47,3.1,1.1,61,Y,0.62,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,894.210501,g 700+,i 820+,0.9710712,3.1 +5,4,8965,6,2,7,3,33,3.1,0.01,68,Y,-0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,2,8969,3,2,7,1,37.5,3.1,-0.62,67,Y,-0.88,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,744.2105075,g 700+,g 700-760,0.9710712,3.1 +2,2,8973,2,2,2,3,23,3.1,-0.99,64,Y,-1.06,F,7,F,94,1,5,-57,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,515.263149,c 460-520,c 460-520,0.9710712,3.1 +6,9,9000,6,2,7,4,32.5,3.1,0.09,52,Y,0.94,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +4,5,9029,4,1,7,3,35,3.1,-0.38,65,Y,-0.04,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,9,9048,9,1,8,2,26,3.1,0.93,66,Y,0.99,P,7,P,94,1,3,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,562.631568,d 520-580,d 520-580,0.9710712,3.1 +7,8,9051,7,2,7,1,44,3.1,0.35,64,Y,0.58,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +10,10,9068,10,2,7,3,39,3.1,1.77,51,Y,2.03,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,8,9110,9,2,7,1,41,3.1,1.02,66,Y,0.8,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,6,9139,7,2,7,3,32,3.1,0.36,68,Y,0.04,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +5,2,9156,5,1,7,3,35,3.1,-0.14,69,Y,-0.96,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +6,7,9199,6,1,7,3,34,3.1,0.19,64,Y,0.29,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,6,9202,7,1,7,1,37,3.1,0.38,69,Y,0.16,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +10,10,9219,10,2,7,3,30,3.1,1.99,68,Y,2.29,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +10,10,9228,10,2,7,3,34,3.1,1.81,66,Y,1.51,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,3,9235,3,2,7,1,42,3.1,-0.75,68,Y,-0.8,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +6,4,9249,6,1,7,1,42,3.1,0.16,69,Y,-0.53,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,9304,1,2,7,3,30.5,3.1,-1.75,69,Y,-1.83,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +3,2,9309,3,1,7,1,37,3.1,-0.66,69,Y,-1.21,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +,,9322,1,1,3,5,35,3.1,-1.66,67,Y,,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,704.736825,g 700+,g 700-760,0.9710712,3.1 +4,4,9330,4,1,7,1,39,3.1,-0.36,61,Y,-0.42,P,7,P,95,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +,,9336,,2,7,4,43,3.1,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +,,9339,4,2,7,3,23,3.1,-0.47,68,Y,,F,2,F,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,515.263149,c 460-520,c 460-520,0.9710712,3.1 +6,5,9374,6,1,6,1,27,3.1,0.16,68,Y,-0.15,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,578.421041,d 520-580,d 520-580,0.9710712,3.1 +7,6,9378,7,1,4,4,34.5,3.1,0.5,65,Y,0.21,P,7,P,94,1,4,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +5,5,9389,5,1,7,1,38,3.1,-0.07,69,Y,-0.13,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,4,9399,3,2,7,1,42,3.1,-0.69,66,Y,-0.46,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,3,9405,5,2,7,3,34,3.1,-0.2,69,Y,-0.72,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,2,9416,1,2,7,4,37,3.1,-1.5,69,Y,-0.96,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,9,9418,9,1,7,3,31.5,3.1,0.87,69,Y,0.95,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +7,8,9423,7,2,7,1,40,3.1,0.42,58,Y,0.76,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +,,9446,2,2,7,1,37,3.1,-1.17,58,X,,F,7,F,95,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,2,9452,2,2,7,3,31.5,3.1,-1.02,68,Y,-1.18,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +6,8,9456,6,1,7,3,32.5,3.1,0.21,67,Y,0.77,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +10,10,9469,10,1,7,3,33,3.1,2.15,69,Y,1.66,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,7,9470,7,1,7,3,42,3.1,0.5,69,Y,0.52,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,9485,,1,7,4,37,3.1,,62,Y,,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,2,9489,2,1,7,2,25,3.1,-0.95,68,Y,-1.06,F,7,P,95,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,546.842095,d 520-580,d 520-580,0.9710712,3.1 +1,1,9500,1,1,7,3,24,3.1,-1.86,43,Y,-1.84,F,2,F,95,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +8,8,9539,8,2,7,1,38,3.1,0.72,67,Y,0.68,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,9542,2,2,7,1,41,3.1,-1.15,56,Y,-1.53,P,2,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +1,1,9544,2,1,7,2,31,3.1,-1.16,66,Y,-1.32,P,2,P,95,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +10,7,9559,10,2,7,3,39,3.1,1.33,69,Y,0.55,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,5,9561,2,2,7,3,36,3.1,-1.06,65,Y,-0.2,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,9577,10,2,8,3,33.5,3.1,1.64,69,Y,1.89,P,7,P,94,1,1,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +9,9,9596,10,2,7,1,45,3.1,1.3,69,Y,0.97,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +4,5,9600,4,1,7,3,34,3.1,-0.38,63,Y,-0.17,F,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,3,9610,4,1,3,3,33,3.1,-0.4,69,Y,-0.88,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,9633,10,2,7,1,42,3.1,1.65,70,Y,1.42,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,9634,10,2,7,5,43,3.1,1.97,64,Y,,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,831.052609,g 700+,i 820+,0.9710712,3.1 +8,9,9653,8,1,7,1,41,3.1,0.67,68,Y,0.97,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +2,2,9773,2,2,7,3,37,3.1,-0.85,69,Y,-1.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,6,9777,8,1,7,3,33,3.1,0.59,69,Y,0.12,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,3,9788,5,2,7,3,36,3.1,-0.1,69,Y,-0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,3,9790,1,2,3,4,32,3.1,-1.76,66,Y,-0.62,F,7,P,95,1,1,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,657.368406,f 640-700,f 640-700,0.9710712,3.1 +3,4,9806,3,1,7,3,37,3.1,-0.58,69,Y,-0.35,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,5,9826,5,1,2,1,39,3.1,-0.13,68,Y,-0.06,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,2,9873,4,2,7,2,27,3.1,-0.44,66,Y,-1.2,F,2,F,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,578.421041,d 520-580,d 520-580,0.9710712,3.1 +9,10,9884,9,2,7,4,42,3.1,0.93,57,Y,1.67,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,9887,1,1,1,1,26,3.1,-1.5,69,Y,-1.93,P,2,P,95,1,3,-67,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,562.631568,d 520-580,d 520-580,0.9710712,3.1 +,,9898,2,2,3,5,32,3.1,-1.09,12,Y,,P,7,P,94,1,5,-5,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,657.368406,f 640-700,f 640-700,0.9710712,3.1 +,,9905,,2,7,1,47,3.1,,69,Y,,F,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,894.210501,g 700+,i 820+,0.9710712,3.1 +5,4,9917,5,2,7,3,31,3.1,-0.13,51,Y,-0.44,F,7,P,95,1,2,-44,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +3,3,9947,4,1,3,1,33,3.1,-0.45,69,Y,-0.71,F,2,F,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,9951,10,2,7,3,41,3.1,1.65,63,Y,1.8,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,9,9979,9,2,7,3,35,3.1,1.02,68,Y,0.89,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,9,9982,10,2,7,3,38,3.1,1.33,67,Y,1.27,P,2,P,95,2,5,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,6,9990,6,1,7,3,37,3.1,0.12,67,Y,0.17,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,2,9999,3,1,3,4,33,3.1,-0.54,69,Y,-1.24,P,2,P,95,1,1,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,8,10013,8,2,7,3,42,3.1,0.68,69,Y,0.62,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,5,10022,4,1,7,1,36,3.1,-0.28,68,Y,-0.17,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,8,10025,9,2,7,1,40,3.1,1.11,64,Y,0.75,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,6,10037,5,2,7,1,39,3.1,-0.21,69,Y,0.17,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,2,10048,3,2,7,1,36.5,3.1,-0.76,68,Y,-0.92,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.4210345,g 700+,g 700-760,0.9710712,3.1 +1,2,10063,1,2,7,1,38,3.1,-1.58,52,Y,-0.91,P,2,P,95,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,6,10066,6,2,7,2,30,3.1,0.16,68,Y,-0.02,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,4,10088,4,1,7,3,40,3.1,-0.38,67,Y,-0.3,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,5,10092,4,2,7,5,42,3.1,-0.22,64,Y,-0.2,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,4,10095,4,1,7,4,38,3.1,-0.39,64,Y,-0.3,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,10112,1,2,7,3,35.5,3.1,-1.87,68,Y,-2.36,F,7,P,96,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,712.6315615,g 700+,g 700-760,0.9710712,3.1 +2,2,10143,2,2,7,3,41.5,3.1,-0.96,67,Y,-1.25,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,807.3683995,g 700+,h 760-820,0.9710712,3.1 +9,8,10144,9,1,7,3,34.5,3.1,0.87,48,Y,0.83,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +8,7,10168,8,1,7,3,43,3.1,0.67,66,Y,0.42,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +10,9,10191,10,1,7,3,31,3.1,1.87,66,Y,1.05,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,2,10232,2,2,7,3,42,3.1,-1.18,68,Y,-1.27,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +6,5,10244,6,1,7,3,39,3.1,0.1,64,Y,-0.13,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +,,10254,,1,7,6,17,3.1,,65,Y,,F,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,420.526311,b 400-460,b 400-460,0.9710712,3.1 +10,9,10255,10,2,7,3,45,3.1,1.33,64,Y,1.22,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +7,7,10302,7,2,7,3,30,3.1,0.36,53,Y,0.36,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +1,2,10351,2,1,7,2,29,3.1,-1.27,66,Y,-1.12,P,7,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +4,4,10355,5,2,7,3,38.5,3.1,-0.2,67,Y,-0.4,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,759.9999805,g 700+,g 700-760,0.9710712,3.1 +4,2,10360,4,1,5,4,45,3.1,-0.25,62,Y,-0.88,P,7,P,94,1,2,-55,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +6,5,10383,6,1,7,3,38,3.1,0.25,68,Y,-0.08,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,5,10398,4,1,7,3,37.5,3.1,-0.39,67,Y,-0.26,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.2105075,g 700+,g 700-760,0.9710712,3.1 +2,4,10401,2,1,7,1,41,3.1,-0.91,69,Y,-0.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,8,10430,6,2,7,5,47,3.1,0.33,66,Y,0.76,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,894.210501,g 700+,i 820+,0.9710712,3.1 +6,8,10439,6,2,7,2,29.5,3.1,0.1,68,Y,0.55,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +7,7,10465,7,1,6,3,33.5,3.1,0.44,68,Y,0.44,P,7,P,94,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +3,2,10474,3,2,7,2,30,3.1,-0.66,67,Y,-1,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +,,10489,,2,8,6,43,3.1,,45,Y,,P,7,P,94,1,2,-38,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,1,831.052609,g 700+,i 820+,0.9710712,3.1 +7,8,10495,7,2,7,4,35,3.1,0.5,69,Y,0.65,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,3,10515,2,1,7,4,32,3.1,-1.07,46,Y,-0.61,F,7,P,96,2,3,-39,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,657.368406,f 640-700,f 640-700,0.9710712,3.1 +7,5,10521,7,1,7,1,37,3.1,0.57,68,Y,-0.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +,,10544,,2,7,3,36,3.1,,68,Y,,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,10552,2,1,7,2,39,3.1,-1.14,70,Y,-1.37,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,8,10572,9,2,7,3,36,3.1,1.1,69,Y,0.86,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,2,10593,4,2,7,3,35,3.1,-0.49,64,Y,-0.9,F,2,F,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,2,10604,1,2,6,3,19.5,3.1,-1.89,56,Y,-1.13,P,7,P,95,2,3,-49,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,459.9999935,b 400-460,b 400-460,0.9710712,3.1 +8,8,10632,8,2,7,3,37,3.1,0.6,67,Y,0.66,P,2,P,95,2,5,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,6,10645,5,2,7,3,37,3.1,-0.16,68,Y,0.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,4,10659,4,2,7,4,45,3.1,-0.37,68,Y,-0.48,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +3,5,10663,3,2,7,3,34,3.1,-0.6,68,Y,-0.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,5,10681,8,2,7,2,31,3.1,0.56,68,Y,-0.17,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +3,5,10688,3,2,7,3,35,3.1,-0.52,65,Y,-0.05,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +4,3,10721,5,1,7,3,34,3.1,-0.24,69,Y,-0.7,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,10750,1,1,3,3,16,3.1,-2.45,66,Y,-1.83,F,7,F,94,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,404.736838,b 400-460,b 400-460,0.9710712,3.1 +1,2,10751,1,2,7,5,36,3.1,-1.54,62,Y,-1,F,7,F,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,5,10758,6,2,7,2,35,3.1,0.13,69,Y,-0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +7,6,10760,7,2,7,4,39.5,3.1,0.33,68,Y,0.23,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,775.7894535,g 700+,h 760-820,0.9710712,3.1 +2,2,10762,2,2,4,5,39,3.1,-1.07,67,Y,-1.28,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,4,10775,2,1,7,1,32,3.1,-1.17,69,Y,-0.5,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,657.368406,f 640-700,f 640-700,0.9710712,3.1 +5,7,10783,6,2,7,3,37,3.1,0.05,68,Y,0.42,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,10,10785,10,2,7,3,38,3.1,1.29,66,Y,1.33,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,8,10836,9,2,7,1,41,3.1,1.04,70,Y,0.65,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,8,10854,6,1,7,3,39,3.1,0.07,69,Y,0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,6,10855,7,1,7,1,37,3.1,0.54,69,Y,0.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,5,10869,5,2,7,2,31,3.1,-0.25,68,Y,-0.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +8,8,10880,8,1,7,2,38,3.1,0.71,65,Y,0.58,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,3,10886,3,1,6,3,25,3.1,-0.66,68,Y,-0.86,F,7,P,95,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,546.842095,d 520-580,d 520-580,0.9710712,3.1 +3,2,10911,4,2,7,3,37,3.1,-0.51,68,Y,-1.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,2,10955,2,2,7,3,38,3.1,-0.95,69,Y,-1.06,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,3,10958,4,1,7,3,30,3.1,-0.31,69,Y,-0.85,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +3,4,10962,4,2,7,5,38,3.1,-0.48,69,Y,-0.47,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,6,10986,6,1,7,1,37,3.1,0.14,69,Y,0.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,4,10998,3,2,3,1,25.5,3.1,-0.56,69,Y,-0.49,F,7,P,95,1,,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,554.7368315,d 520-580,d 520-580,0.9710712,3.1 +10,6,11015,10,2,7,5,47,3.1,1.5,69,Y,0.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,894.210501,g 700+,i 820+,0.9710712,3.1 +8,6,11039,8,1,7,1,38,3.1,0.64,43,Y,0.12,P,7,P,95,2,2,-36,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,4,11044,4,2,7,3,36.5,3.1,-0.42,68,Y,-0.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.4210345,g 700+,g 700-760,0.9710712,3.1 +2,4,11057,3,1,7,3,33,3.1,-0.71,50,Y,-0.5,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,6,11081,7,2,7,1,41,3.1,0.38,,Y,0.17,P,7,P,94,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +1,3,11094,1,2,7,4,31.5,3.1,-1.35,63,Y,-0.73,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +7,7,11123,7,2,7,4,36,3.1,0.37,68,Y,0.37,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +8,7,11138,8,2,7,3,35,3.1,0.68,66,Y,0.4,P,2,P,95,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,1,11165,1,1,4,1,29,3.1,-2.01,68,Y,-2.22,F,2,P,95,1,3,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,609.999987,e 580-640,e 580-640,0.9710712,3.1 +7,7,11239,7,2,7,4,38,3.1,0.53,55,Y,0.49,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,11261,1,2,2,3,27,3.1,-1.68,68,Y,-1.95,P,7,P,94,1,2,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,578.421041,d 520-580,d 520-580,0.9710712,3.1 +2,3,11289,2,1,7,5,40,3.1,-0.9,69,Y,-0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,4,11307,4,2,7,3,41,3.1,-0.29,68,Y,-0.53,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,3,11338,4,2,7,4,34,3.1,-0.25,68,Y,-0.73,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,4,11340,3,2,7,1,40,3.1,-0.76,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +9,9,11349,9,2,7,3,40,3.1,0.96,68,Y,0.98,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +9,9,11352,9,1,7,2,40,3.1,1.22,67,Y,1.24,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,5,11379,4,1,7,3,39,3.1,-0.39,69,Y,-0.22,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,11382,10,1,7,1,44,3.1,1.51,68,Y,2.12,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +8,7,11396,9,2,7,1,37,3.1,0.88,68,Y,0.54,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,6,11428,6,1,7,3,34.5,3.1,0.2,70,Y,-0.02,P,2,P,94,1,3,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +5,4,11431,6,2,7,3,31,3.1,0.01,54,Y,-0.53,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +,,11434,10,2,7,3,34,3.1,1.26,70,X,,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,5,11435,3,1,2,1,41,3.1,-0.55,69,Y,-0.12,P,2,P,95,1,4,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,4,11443,4,2,7,1,42,3.1,-0.48,56,Y,-0.42,P,2,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,11460,1,1,3,1,27,3.1,-1.96,68,Y,-2.14,P,2,P,94,1,3,-66,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,578.421041,d 520-580,d 520-580,0.9710712,3.1 +6,5,11498,6,2,7,1,40,3.1,0.22,65,Y,-0.12,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,8,11504,8,2,7,3,34.5,3.1,0.56,68,Y,0.6,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +5,4,11517,6,2,7,1,31,3.1,0.08,68,Y,-0.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,641.578933,f 640-700,f 640-700,0.9710712,3.1 +2,3,11518,3,2,7,3,33,3.1,-0.84,55,Y,-0.64,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,8,11542,7,1,7,3,39.5,3.1,0.51,66,Y,0.64,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,775.7894535,g 700+,h 760-820,0.9710712,3.1 +3,1,11545,4,1,7,3,32,3.1,-0.44,66,Y,-1.47,F,7,F,93,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +10,10,11561,10,1,7,1,46,3.1,1.92,67,Y,1.62,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,878.421028,g 700+,i 820+,0.9710712,3.1 +5,6,11575,5,1,7,3,32,3.1,-0.15,69,Y,0,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,6,11589,4,2,7,1,37,3.1,-0.28,68,Y,0.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,1,11604,2,1,3,1,28,3.1,-1.06,52,Y,-1.48,P,7,P,94,1,2,-45,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +6,8,11613,6,2,7,3,32.7,3.1,0.1,67,Y,0.72,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.4210371,f 640-700,f 640-700,0.9710712,3.1 +4,4,11614,4,1,7,1,44,3.1,-0.4,68,Y,-0.46,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +5,4,11628,5,1,3,4,35,3.1,-0.08,69,Y,-0.51,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,3,11632,2,2,3,3,25.7,3.1,-1.2,56,Y,-0.71,P,2,P,96,1,2,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,557.8947261,d 520-580,d 520-580,0.9710712,3.1 +5,6,11663,6,1,7,1,40.7,3.1,0.08,64,Y,0.03,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,794.7368211,g 700+,h 760-820,0.9710712,3.1 +1,2,11693,2,1,7,3,33,3.1,-1.26,41,Y,-1.06,F,7,F,94,1,2,-34,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,8,11721,7,2,5,5,37,3.1,0.46,65,Y,0.82,P,7,P,94,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,8,11729,8,2,7,2,32,3.1,0.53,66,Y,0.74,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +8,7,11733,8,1,7,4,36,3.1,0.76,66,Y,0.38,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +2,3,11764,3,2,7,1,34,3.1,-0.81,58,Y,-0.81,P,7,P,94,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,2,11770,2,2,8,5,38,3.1,-1.03,68,Y,-1.13,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,2,11775,2,2,5,1,41,3.1,-1.16,67,Y,-1.28,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,6,11776,7,2,7,3,36,3.1,0.37,69,Y,0.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,3,11801,3,1,1,4,40,3.1,-0.58,66,Y,-0.7,P,7,P,94,1,1,-59,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,1,11830,1,1,7,3,29.5,3.1,-1.46,55,Y,-1.68,F,7,P,95,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +1,1,11831,2,2,7,3,29.7,3.1,-1.17,67,Y,-1.78,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,621.0526181,e 580-640,e 580-640,0.9710712,3.1 +9,9,11844,9,2,7,1,38,3.1,0.92,67,Y,1.18,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,6,11853,5,1,4,3,34,3.1,-0.1,68,Y,0.15,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,2,11855,2,1,7,1,39,3.1,-0.83,69,Y,-1.31,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,5,11860,10,2,7,2,36,3.1,1.33,64,Y,-0.17,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,11866,,1,3,5,29,3.1,,65,Y,,P,7,P,94,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,609.999987,e 580-640,e 580-640,0.9710712,3.1 +8,8,11873,8,2,7,4,39,3.1,0.67,64,Y,0.68,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,3,11883,3,1,3,1,28,3.1,-0.58,55,Y,-0.81,P,7,P,95,2,3,-48,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +2,2,11910,2,2,7,1,42,3.1,-1.05,59,Y,-1.15,P,2,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +10,9,11913,10,2,7,4,37,3.1,1.37,65,Y,1.07,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,7,12002,5,2,7,1,45,3.1,-0.09,65,Y,0.5,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +,,12009,4,2,7,3,39,3.1,-0.38,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,10,12010,8,1,7,2,37,3.1,0.75,69,Y,1.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,8,12031,8,1,8,4,32.5,3.1,0.71,69,Y,0.76,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +7,6,12036,7,2,7,3,36,3.1,0.51,65,Y,0.01,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,6,12071,4,1,7,3,40,3.1,-0.41,67,Y,-0.02,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,10,12081,8,2,7,4,45,3.1,0.84,66,Y,1.41,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +5,4,12084,5,2,7,5,39,3.1,0,,Y,-0.26,P,7,P,94,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,2,12166,2,2,7,4,39,3.1,-0.91,69,Y,-1.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,7,12180,9,2,7,3,43,3.1,0.84,69,Y,0.43,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +1,2,12186,1,2,7,6,42,3.1,-1.49,66,Y,-1.26,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,10,12189,8,2,7,5,44,3.1,0.93,69,Y,1.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,846.842082,g 700+,i 820+,0.9710712,3.1 +2,3,12196,2,2,7,3,33,3.1,-0.98,52,Y,-0.59,P,7,P,95,2,4,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,2,12199,3,2,7,1,44,3.1,-0.61,59,Y,-1.17,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +5,3,12200,5,2,7,3,31.5,3.1,-0.04,68,Y,-0.67,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +5,5,12203,5,2,7,1,41,3.1,-0.05,69,Y,-0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +8,8,12205,8,2,7,1,42,3.1,0.77,68,Y,0.77,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +10,10,12276,10,2,7,4,36,3.1,2.01,68,Y,1.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,5,12316,9,2,7,1,39,3.1,1.04,67,Y,-0.03,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,4,12317,6,2,7,4,37,3.1,0.2,66,Y,-0.25,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,4,12321,5,2,7,3,40,3.1,-0.16,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +,,12330,,1,3,4,29,3.1,,68,Y,,F,7,F,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,609.999987,e 580-640,e 580-640,0.9710712,3.1 +7,9,12333,7,2,7,2,34,3.1,0.49,69,Y,0.87,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,4,12338,5,1,7,3,35,3.1,-0.12,66,Y,-0.33,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,9,12347,10,2,7,6,33,3.1,1.36,64,Y,1.32,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,2,12352,2,1,7,3,42,3.1,-1.06,69,Y,-1.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,2,12358,4,1,7,1,42,3.1,-0.39,66,Y,-1.1,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,6,12388,5,1,7,2,31,3.1,-0.1,68,Y,0.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +3,5,12394,4,1,7,3,36,3.1,-0.43,68,Y,-0.1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,8,12406,7,1,7,3,27,3.1,0.47,55,Y,0.56,P,7,P,95,2,4,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,578.421041,d 520-580,d 520-580,0.9710712,3.1 +3,4,12410,3,2,7,3,24,3.1,-0.66,62,Y,-0.46,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +,,12412,,2,7,1,43,3.1,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +6,6,12424,6,1,7,5,41,3.1,0.12,68,Y,0.08,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,5,12425,4,2,7,3,35,3.1,-0.39,69,Y,-0.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,10,12435,9,2,7,4,36,3.1,1.02,67,Y,1.59,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,12452,,2,7,1,37,3.1,,59,Y,0.49,P,2,P,96,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +,,12454,,2,7,1,41,3.1,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,7,12463,6,2,7,3,39,3.1,0.22,61,Y,0.32,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,9,12468,9,1,7,1,34,3.1,1.21,60,Y,1.06,P,7,P,94,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,4,12474,7,2,7,3,34,3.1,0.27,66,Y,-0.29,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,8,12477,7,2,7,3,38,3.1,0.32,63,Y,0.59,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,6,12499,7,1,7,3,35,3.1,0.31,65,Y,0.18,P,2,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,10,12507,9,2,7,1,43,3.1,1.15,68,Y,1.82,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +9,9,12529,9,2,7,3,35,3.1,1.22,67,Y,0.98,P,2,P,95,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,6,12535,3,1,7,3,37,3.1,-0.73,69,Y,0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +10,5,12545,10,2,7,3,32,3.1,1.67,69,Y,-0.14,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +5,7,12551,5,1,7,3,33,3.1,-0.17,69,Y,0.5,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,2,12563,3,1,4,1,31,3.1,-0.61,69,Y,-0.97,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,641.578933,f 640-700,f 640-700,0.9710712,3.1 +4,6,12571,4,2,7,1,36,3.1,-0.33,67,Y,0.12,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,6,12574,7,1,7,3,37,3.1,0.49,69,Y,0.23,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,2,12578,1,2,7,1,36.5,3.1,-1.39,,Y,-1.27,F,7,P,95,1,5,,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,728.4210345,g 700+,g 700-760,0.9710712,3.1 +6,6,12593,6,2,7,5,48,3.1,0.25,62,Y,0.23,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,909.999974,g 700+,i 820+,0.9710712,3.1 +7,7,12602,8,1,7,2,35,3.1,0.55,56,Y,0.32,P,7,P,94,1,2,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +,,12608,3,2,7,5,40,3.1,-0.83,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,7,12621,7,2,7,3,36,3.1,0.47,69,Y,0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,3,12629,8,2,7,3,36,3.1,0.53,68,Y,-0.58,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,12640,10,1,6,4,42,3.1,2.15,47,Y,1.92,P,7,P,94,1,5,-40,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,5,12644,8,2,7,2,34.5,3.1,0.8,68,Y,-0.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +8,8,12654,8,2,7,1,37,3.1,0.65,67,Y,0.59,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +,,12669,,1,7,3,37,3.1,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,6,12672,7,1,7,3,29.5,3.1,0.31,64,Y,0.03,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +4,4,12685,4,2,2,5,39.5,3.1,-0.23,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,775.7894535,g 700+,h 760-820,0.9710712,3.1 +6,5,12699,7,1,7,1,41,3.1,0.31,69,Y,-0.16,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,9,12709,10,2,7,3,40,3.1,1.69,64,Y,1.22,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,2,12738,2,2,7,3,31,3.1,-0.91,62,Y,-1.25,P,6,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +4,3,12739,5,2,7,3,31,3.1,-0.19,62,Y,-0.83,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,1,12758,1,1,7,3,34,3.1,-1.34,69,Y,-1.5,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,12777,10,1,7,3,44,3.1,1.3,68,Y,1.32,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +6,5,12778,6,2,7,1,37,3.1,0.09,61,Y,-0.09,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,8,12801,8,2,7,1,47,3.1,0.69,69,Y,0.66,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,894.210501,g 700+,i 820+,0.9710712,3.1 +8,7,12810,8,2,7,3,41,3.1,0.74,67,Y,0.44,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +,,12828,,1,7,3,42,3.1,,56,Y,,P,7,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,12835,,1,7,5,42,3.1,,60,Y,,P,7,P,94,1,1,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,5,12853,5,2,2,4,35,3.1,-0.14,69,Y,-0.18,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,5,12863,4,1,7,3,35,3.1,-0.51,64,Y,-0.23,P,2,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,7,12874,8,2,7,3,43,3.1,0.68,69,Y,0.5,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +6,4,12913,6,1,7,4,42,3.1,0.09,65,Y,-0.26,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,12925,,1,7,1,39,3.1,,63,Y,1.14,P,2,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,3,12966,4,2,7,1,44,3.1,-0.46,62,Y,-0.66,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +5,6,13005,5,1,7,3,39,3.1,-0.07,68,Y,0.01,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,3,13015,5,2,7,3,34,3.1,-0.1,57,Y,-0.59,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,2,13023,3,1,7,3,30,3.1,-0.7,59,Y,-1.07,P,2,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +6,5,13046,6,2,7,1,44,3.1,0.09,69,Y,-0.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +6,5,13053,6,2,7,1,44,3.1,0.19,67,Y,-0.12,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +2,2,13061,2,1,7,5,31.5,3.1,-0.93,59,Y,-1.18,F,7,P,95,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +3,4,13062,4,2,7,2,29,3.1,-0.54,64,Y,-0.56,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +10,7,13081,10,1,7,3,34,3.1,1.35,69,Y,0.51,P,7,P,94,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,7,13086,8,1,7,3,41,3.1,0.59,65,Y,0.38,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,2,13096,4,2,7,1,47,3.1,-0.41,68,Y,-1.01,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,894.210501,g 700+,i 820+,0.9710712,3.1 +5,6,13103,5,1,7,1,39,3.1,0.02,69,Y,0.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,13123,10,1,7,3,37,3.1,1.63,44,Y,2.15,P,2,P,95,1,3,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,8,13131,8,2,7,3,40,3.1,0.53,59,Y,0.67,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,8,13167,7,2,7,1,42,3.1,0.54,69,Y,0.7,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,3,13168,3,1,7,3,37,3.1,-0.59,69,Y,-0.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,5,13207,3,1,3,3,23.5,3.1,-0.6,69,Y,-0.22,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,523.1578855,d 520-580,d 520-580,0.9710712,3.1 +3,3,13237,3,2,7,4,35,3.1,-0.52,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,5,13242,5,1,7,3,35,3.1,-0.04,66,Y,-0.21,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,6,13306,5,2,7,2,33,3.1,-0.13,69,Y,0.2,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,8,13308,10,2,7,5,43,3.1,1.59,68,Y,0.72,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,831.052609,g 700+,i 820+,0.9710712,3.1 +10,8,13326,10,2,7,3,34,3.1,1.3,57,Y,0.83,P,7,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,2,13344,5,2,7,4,34,3.1,-0.1,65,Y,-1.03,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,7,13348,8,2,2,3,35.5,3.1,0.58,69,Y,0.44,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,712.6315615,g 700+,g 700-760,0.9710712,3.1 +5,6,13367,5,2,7,1,35,3.1,-0.03,66,Y,0.07,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,2,13382,2,2,7,2,35,3.1,-0.98,69,Y,-1.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +,,13393,9,2,7,5,40,3.1,1.03,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,4,13400,4,1,7,3,41,3.1,-0.35,69,Y,-0.39,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +8,8,13411,8,2,2,4,33,3.1,0.61,65,Y,0.74,P,7,P,94,1,4,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,4,13417,4,2,3,3,28,3.1,-0.48,65,Y,-0.31,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +1,2,13427,2,2,7,4,34,3.1,-1.17,69,Y,-1.21,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,13432,10,1,3,1,36,3.1,1.48,60,Y,1.62,P,7,P,94,1,3,-53,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,3,13443,5,1,4,3,30.5,3.1,-0.03,66,Y,-0.64,P,2,P,95,2,2,-64,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +8,10,13456,9,2,7,1,42,3.1,0.9,59,Y,1.34,P,2,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,3,13458,3,2,4,4,33,3.1,-0.74,69,Y,-0.55,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,8,13466,6,2,7,2,34,3.1,0.04,52,Y,0.63,P,2,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,13476,10,2,7,4,37,3.1,2.18,64,Y,1.53,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,3,13478,3,2,7,2,29.5,3.1,-0.6,69,Y,-0.87,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +9,8,13480,9,2,7,1,45,3.1,1.01,63,Y,0.76,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +10,9,13532,10,2,7,3,40,3.1,1.7,56,Y,1.24,P,7,P,94,1,5,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,7,13544,8,2,8,3,40,3.1,0.71,69,Y,0.42,P,7,P,94,1,3,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,5,13548,7,2,7,3,34,3.1,0.5,69,Y,-0.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,13551,2,2,7,2,29.5,3.1,-1.26,61,Y,-1.34,F,7,F,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +6,6,13558,7,1,7,3,30.5,3.1,0.25,69,Y,0.26,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +9,8,13576,9,2,7,1,40,3.1,1.27,66,Y,0.81,P,7,P,95,2,2,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +10,10,13581,10,1,7,1,38,3.1,1.67,66,Y,1.47,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,13583,2,2,7,3,38,3.1,-1.21,49,Y,-1.55,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,2,13605,5,2,7,4,36,3.1,-0.23,67,Y,-1.27,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,13610,,2,7,4,41,3.1,,55,Y,,P,7,P,94,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +2,5,13615,3,1,8,3,30.5,3.1,-0.8,68,Y,-0.15,P,7,P,94,1,4,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +3,3,13621,3,2,7,1,37,3.1,-0.67,64,Y,-0.57,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,1,13622,2,1,7,3,37,3.1,-1.15,69,Y,-1.81,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,3,13627,3,1,7,2,36,3.1,-0.81,68,Y,-0.63,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,7,13628,8,1,7,3,39,3.1,0.56,61,Y,0.52,P,2,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,7,13629,8,2,7,2,33,3.1,0.65,69,Y,0.52,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,9,13630,7,2,7,3,37,3.1,0.26,64,Y,0.91,P,2,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,7,13641,7,2,7,4,44,3.1,0.45,67,Y,0.28,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,846.842082,g 700+,i 820+,0.9710712,3.1 +,,13646,,1,7,5,40,3.1,,64,Y,,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +6,6,13653,6,2,7,3,39,3.1,0.14,67,Y,0.16,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,2,13656,4,1,7,3,37,3.1,-0.4,69,Y,-0.95,P,6,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,4,13666,5,2,4,3,34,3.1,-0.21,68,Y,-0.34,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,8,13684,6,2,7,3,34.5,3.1,0.05,62,Y,0.68,P,2,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +4,6,13704,5,2,7,1,46,3.1,-0.17,69,Y,0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,878.421028,g 700+,i 820+,0.9710712,3.1 +7,8,13713,8,2,7,3,37,3.1,0.56,61,Y,0.82,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,6,13723,9,1,7,4,40,3.1,0.96,67,Y,0.18,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +5,4,13725,5,2,7,3,33,3.1,-0.06,68,Y,-0.52,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +9,7,13745,9,1,7,1,32,3.1,1.14,68,Y,0.29,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,657.368406,f 640-700,f 640-700,0.9710712,3.1 +8,8,13751,8,2,7,1,43,3.1,0.64,60,Y,0.76,P,2,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +5,4,13782,5,2,7,2,32,3.1,-0.11,68,Y,-0.47,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +3,3,13814,4,2,7,2,31,3.1,-0.47,69,Y,-0.78,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +4,4,13819,5,2,7,3,39,3.1,-0.22,69,Y,-0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,6,13832,6,2,7,1,41,3.1,0.24,62,Y,0.05,F,2,P,96,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,6,13835,3,2,6,1,33,3.1,-0.55,69,Y,0.17,P,7,P,94,1,,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,4,13842,5,1,7,3,30,3.1,-0.25,69,Y,-0.5,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +2,4,13852,3,1,7,1,36.5,3.1,-0.74,69,Y,-0.35,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.4210345,g 700+,g 700-760,0.9710712,3.1 +10,10,13880,10,2,7,3,39,3.1,1.82,69,Y,1.66,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,4,13891,2,2,7,3,35,3.1,-1.28,51,Y,-0.39,P,7,P,94,1,1,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,5,13894,3,2,7,4,42,3.1,-0.57,66,Y,-0.21,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,4,13898,4,1,4,3,30,3.1,-0.46,58,Y,-0.49,F,7,F,95,1,3,-51,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +8,9,13901,8,1,7,3,37,3.1,0.64,64,Y,1.08,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,2,13937,4,2,7,3,31,3.1,-0.41,66,Y,-1.15,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +2,2,13942,3,2,7,3,37,3.1,-0.8,69,Y,-0.98,P,2,P,95,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,8,13964,6,2,7,3,37,3.1,0.17,69,Y,0.78,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,6,13970,6,2,7,3,34,3.1,0.07,68,Y,0.15,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,3,13971,1,2,2,5,44,3.1,-1.51,69,Y,-0.74,P,2,P,95,1,4,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,846.842082,g 700+,i 820+,0.9710712,3.1 +6,9,13976,6,1,7,3,35,3.1,0.07,67,Y,0.95,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +7,5,13978,7,2,7,3,33,3.1,0.47,68,Y,-0.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,8,13990,7,1,7,4,42,3.1,0.5,68,Y,0.61,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,3,13992,5,1,7,4,32,3.1,-0.21,68,Y,-0.57,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,657.368406,f 640-700,f 640-700,0.9710712,3.1 +8,6,14010,9,2,7,2,40,3.1,0.84,68,Y,0.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,783.68419,g 700+,h 760-820,0.9710712,3.1 +,,14032,8,1,7,3,37,3.1,0.66,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,4,14042,4,1,8,3,29,3.1,-0.32,69,Y,-0.47,P,7,P,94,1,2,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +10,9,14053,10,1,7,1,36,3.1,1.33,66,Y,1.11,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +8,6,14063,8,1,7,1,39,3.1,0.64,68,Y,0.27,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,5,14093,4,2,7,1,44,3.1,-0.27,69,Y,-0.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +8,3,14096,8,2,2,3,32.5,3.1,0.71,68,Y,-0.83,P,7,P,94,2,3,-61,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +6,3,14114,7,2,7,3,43,3.1,0.29,69,Y,-0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +6,5,14118,6,1,7,3,36,3.1,0.15,68,Y,-0.22,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,3,14136,6,1,7,4,30,3.1,0.09,67,Y,-0.57,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,625.78946,e 580-640,e 580-640,0.9710712,3.1 +1,1,14143,1,2,7,3,24,3.1,-1.36,60,Y,-2.12,F,7,F,95,2,2,-53,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +4,5,14144,4,1,7,1,43,3.1,-0.39,69,Y,-0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +7,7,14149,7,2,7,3,38,3.1,0.44,62,Y,0.3,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,10,14161,10,1,7,3,32,3.1,1.98,69,Y,1.84,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +8,6,14177,8,1,7,4,42,3.1,0.68,66,Y,0.08,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,14183,1,2,7,1,40,3.1,-1.5,69,Y,-2.04,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +6,7,14203,6,1,7,3,35,3.1,0.14,69,Y,0.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,3,14229,2,2,7,1,48,3.1,-0.91,69,Y,-0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,909.999974,g 700+,i 820+,0.9710712,3.1 +4,3,14272,5,1,7,2,28,3.1,-0.21,69,Y,-0.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,594.210514,e 580-640,e 580-640,0.9710712,3.1 +7,9,14273,7,2,7,2,28.3,3.1,0.32,67,Y,1.09,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,598.9473559,e 580-640,e 580-640,0.9710712,3.1 +5,4,14284,5,2,4,1,36,3.1,-0.14,69,Y,-0.33,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,14293,,2,7,3,41,3.1,,67,Y,,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,4,14309,7,1,2,3,46,3.1,0.34,71,Y,-0.39,P,7,P,94,1,4,-64,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,878.421028,g 700+,i 820+,0.9710712,3.1 +5,7,14316,6,1,7,1,38,3.1,0.08,56,Y,0.54,F,7,F,94,1,2,-49,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,8,14322,6,1,7,1,48,3.1,0.18,68,Y,0.63,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,909.999974,g 700+,i 820+,0.9710712,3.1 +9,9,14323,9,2,7,4,41,3.1,1.11,69,Y,1.08,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,10,14327,10,1,7,3,48,3.1,1.57,68,Y,1.62,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,909.999974,g 700+,i 820+,0.9710712,3.1 +10,10,14331,10,2,7,3,45,3.1,2.39,63,Y,2.25,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +4,6,14340,4,2,7,3,30,3.1,-0.35,69,Y,0.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +10,10,14345,10,1,7,4,36.5,3.1,1.52,62,Y,1.44,P,7,P,94,1,5,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.4210345,g 700+,g 700-760,0.9710712,3.1 +10,9,14356,10,1,6,3,41,3.1,1.41,64,Y,1.13,P,7,P,94,1,1,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,3,14370,7,2,7,1,37.5,3.1,0.48,69,Y,-0.65,F,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,744.2105075,g 700+,g 700-760,0.9710712,3.1 +7,7,14371,7,1,7,3,36,3.1,0.31,67,Y,0.35,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,14380,10,2,7,2,30,3.1,2.12,67,Y,1.71,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +6,6,14389,6,2,7,3,33,3.1,0.12,68,Y,0.02,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,9,14396,10,2,7,2,39,3.1,1.58,64,Y,1.14,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,1,14398,1,2,7,3,34.5,3.1,-1.83,68,Y,-2.92,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +4,6,14445,4,2,2,1,30,3.1,-0.29,66,Y,0.29,P,7,P,94,1,,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,625.78946,e 580-640,e 580-640,0.9710712,3.1 +9,9,14481,9,1,7,5,46,3.1,1.29,70,Y,1.02,P,2,P,94,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,878.421028,g 700+,i 820+,0.9710712,3.1 +7,8,14507,7,2,7,1,44,3.1,0.36,68,Y,0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +9,8,14511,9,2,7,3,34,3.1,0.97,64,Y,0.8,P,2,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,2,14533,2,1,7,2,29,3.1,-1.09,67,Y,-1.09,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +4,5,14539,5,2,7,2,31,3.1,-0.27,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +8,3,14560,8,2,7,1,45,3.1,0.79,68,Y,-0.58,P,7,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +9,9,14571,9,1,7,1,42,3.1,0.99,62,Y,0.92,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +6,7,14582,6,2,7,4,36,3.1,0.17,68,Y,0.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,14605,1,2,7,3,39,3.1,-1.36,65,Y,-1.71,F,7,F,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,5,14616,7,2,7,2,28,3.1,0.26,61,Y,-0.29,P,2,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,594.210514,e 580-640,e 580-640,0.9710712,3.1 +5,4,14618,5,2,7,4,38,3.1,0.01,69,Y,-0.34,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,1,14636,3,1,7,1,39,3.1,-0.68,69,Y,-1.53,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,7,14645,9,2,7,3,35,3.1,1.15,68,Y,0.52,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,2,14652,1,2,7,3,33,3.1,-1.86,68,Y,-1.28,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,5,14658,5,2,7,3,34,3.1,-0.08,67,Y,-0.07,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +,,14675,,1,7,4,43,3.1,,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +9,8,14693,9,2,2,1,43,3.1,0.99,64,Y,0.73,P,7,P,94,1,2,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +8,9,14703,8,2,7,5,38,3.1,0.87,68,Y,1.16,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,14714,2,2,7,1,33.5,3.1,-1,69,Y,-0.94,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +,,14734,,2,7,5,48,3.1,,61,Y,,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,909.999974,g 700+,i 820+,0.9710712,3.1 +2,1,14753,2,2,7,3,36,3.1,-0.85,68,Y,-2.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,14758,1,2,3,1,26,3.1,-2.02,42,Y,-1.89,F,2,F,94,1,2,-40,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,562.631568,d 520-580,d 520-580,0.9710712,3.1 +4,5,14801,4,2,7,2,30,3.1,-0.39,56,Y,-0.09,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +9,6,14816,9,2,8,3,31,3.1,0.9,68,Y,0.21,P,7,P,94,1,5,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +3,2,14818,3,2,3,1,32,3.1,-0.59,69,Y,-0.98,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,657.368406,f 640-700,f 640-700,0.9710712,3.1 +3,7,14831,4,1,7,2,30.5,3.1,-0.49,69,Y,0.42,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +1,3,14834,2,1,4,3,26,3.1,-1.15,68,Y,-0.74,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,562.631568,d 520-580,d 520-580,0.9710712,3.1 +5,5,14836,5,1,1,2,29,3.1,-0.12,39,Y,-0.23,P,2,P,95,1,2,-37,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +8,5,14849,8,2,7,1,47,3.1,0.76,67,Y,-0.18,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,894.210501,g 700+,i 820+,0.9710712,3.1 +4,4,14857,4,1,7,1,47,3.1,-0.27,62,Y,-0.31,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,894.210501,g 700+,i 820+,0.9710712,3.1 +3,3,14859,3,1,4,4,32,3.1,-0.52,58,Y,-0.65,P,7,P,95,2,1,-51,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,657.368406,f 640-700,f 640-700,0.9710712,3.1 +7,9,14870,7,1,7,3,32.5,3.1,0.47,67,Y,1.15,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +,,14873,5,2,8,4,41.5,3.1,-0.01,62,Y,,P,7,P,94,1,3,-55,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,807.3683995,g 700+,h 760-820,0.9710712,3.1 +4,3,14878,4,1,3,2,28,3.1,-0.34,69,Y,-0.66,P,2,P,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,594.210514,e 580-640,e 580-640,0.9710712,3.1 +7,6,14887,7,2,7,1,39,3.1,0.36,64,Y,0.22,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,6,14899,5,2,7,3,38,3.1,-0.08,68,Y,0.03,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +7,5,14918,7,2,7,3,35,3.1,0.39,69,Y,-0.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,9,14927,9,2,7,1,40,3.1,0.94,67,Y,1.15,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,2,14932,3,2,7,3,36,3.1,-0.68,65,Y,-1.27,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,2,14948,4,1,7,3,33,3.1,-0.41,69,Y,-1.26,P,7,P,94,2,3,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +1,4,14959,1,1,7,5,41,3.1,-1.3,64,Y,-0.24,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,799.473663,g 700+,h 760-820,0.9710712,3.1 +8,7,14980,9,2,7,1,32,3.1,0.89,68,Y,0.4,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,3,14988,4,1,4,3,38,3.1,-0.37,67,Y,-0.88,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,14994,1,2,4,4,31,3.1,-1.28,70,Y,-1.5,F,7,P,95,1,1,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,641.578933,f 640-700,f 640-700,0.9710712,3.1 +6,5,15009,6,1,7,3,32,3.1,0.12,64,Y,-0.26,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +2,2,15039,3,1,7,1,36,3.1,-0.76,69,Y,-0.89,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,15071,2,1,7,2,23.3,3.1,-1.24,55,Y,-1.36,F,7,F,94,1,5,-48,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,519.9999909,c 460-520,c 460-520,0.9710712,3.1 +1,1,15077,2,2,4,4,30,3.1,-1.2,60,Y,-1.43,P,7,P,94,1,3,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,6,15087,4,2,7,2,31,3.1,-0.37,69,Y,0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +5,6,15092,5,1,7,4,37,3.1,-0.13,58,Y,0.03,F,7,P,96,2,3,-51,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,7,15100,8,2,7,4,42,3.1,0.79,68,Y,0.46,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,3,15106,2,2,7,3,32.5,3.1,-1.12,65,Y,-0.74,F,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +1,1,15107,1,1,3,3,32,3.1,-1.39,69,Y,-1.71,F,2,P,96,2,1,-67,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,1,15124,4,1,7,3,33,3.1,-0.32,67,Y,-1.9,F,6,F,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +,,15133,,1,7,,26.5,3.1,-0.19,55,Y,-0.45,P,7,P,94,2,3,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,570.5263045,d 520-580,d 520-580,0.9710712,3.1 +2,2,15136,2,2,7,3,39,3.1,-0.96,59,Y,-0.9,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,6,15158,6,1,2,3,34,3.1,0.2,66,Y,0.23,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,7,15180,8,2,7,4,37,3.1,0.65,66,Y,0.35,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,7,15184,5,2,7,3,40,3.1,-0.03,69,Y,0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +,,15195,,1,7,3,37,3.1,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,4,15268,4,1,7,3,34,3.1,-0.43,69,Y,-0.53,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,7,15273,4,2,7,1,42,3.1,-0.43,68,Y,0.44,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +9,9,15311,9,2,7,4,39,3.1,0.87,67,Y,1.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,7,15319,7,2,7,2,36,3.1,0.44,69,Y,0.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,4,15335,5,1,7,3,33.5,3.1,-0.24,66,Y,-0.42,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +4,7,15364,4,1,7,3,28.5,3.1,-0.39,69,Y,0.41,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,602.1052505,e 580-640,e 580-640,0.9710712,3.1 +9,8,15372,9,2,7,3,39,3.1,1.01,69,Y,0.76,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,15379,10,1,7,3,25.5,3.1,1.49,63,Y,1.84,P,2,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,554.7368315,d 520-580,d 520-580,0.9710712,3.1 +2,3,15392,2,1,3,3,28,3.1,-0.92,69,Y,-0.8,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +3,4,15393,4,2,7,2,33,3.1,-0.49,69,Y,-0.34,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +1,1,15394,2,1,7,3,34,3.1,-1.27,69,Y,-1.48,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,3,15408,2,2,4,3,33,3.1,-1.23,69,Y,-0.8,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,7,15411,8,2,7,1,35,3.1,0.72,68,Y,0.51,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,1,15420,1,2,3,2,23,3.1,-1.74,55,Y,-1.26,F,7,P,95,1,3,-48,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,515.263149,c 460-520,c 460-520,0.9710712,3.1 +10,10,15421,10,2,7,5,38,3.1,2.38,66,Y,1.26,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +,,15443,,1,7,1,35,3.1,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +4,3,15463,4,1,7,3,34,3.1,-0.41,65,Y,-0.63,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,5,15485,6,2,7,1,36,3.1,0.08,69,Y,0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,2,15491,3,2,7,3,30.5,3.1,-0.69,61,Y,-1.08,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +7,5,15494,7,1,7,1,45,3.1,0.35,68,Y,-0.22,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +5,6,15505,5,2,7,3,38,3.1,-0.03,70,Y,0.03,P,7,P,94,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +7,6,15536,7,1,7,1,43,3.1,0.41,67,Y,0.25,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +3,1,15542,3,2,7,3,29.5,3.1,-0.68,68,Y,-1.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +7,7,15558,7,1,7,1,44,3.1,0.38,69,Y,0.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +7,8,15564,7,2,7,3,33.5,3.1,0.37,69,Y,0.67,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +3,2,15566,3,1,7,3,31,3.1,-0.56,69,Y,-1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +5,5,15569,5,2,7,3,40,3.1,-0.12,69,Y,-0.1,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,2,15575,4,2,2,4,39,3.1,-0.47,68,Y,-1.06,P,7,P,95,2,4,-61,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,1,15581,1,1,2,4,43,3.1,-2.84,68,Y,-1.53,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +9,9,15596,9,2,7,3,37,3.1,1.11,68,Y,1.19,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,5,15628,4,1,7,1,35.5,3.1,-0.48,67,Y,-0.18,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,712.6315615,g 700+,g 700-760,0.9710712,3.1 +9,10,15639,9,2,7,2,31,3.1,0.89,69,Y,1.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +5,4,15645,5,1,7,6,38,3.1,0.01,69,Y,-0.35,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,15647,2,1,2,3,33,3.1,-1.03,67,Y,-0.89,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,8,15665,6,1,7,3,36,3.1,0.16,69,Y,0.59,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,1,15683,7,2,7,3,34.5,3.1,0.51,66,Y,-2.01,P,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +5,6,15702,5,1,7,3,30,3.1,-0.11,68,Y,-0.01,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +8,5,15715,9,2,3,6,26,3.1,0.89,69,Y,-0.21,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,562.631568,d 520-580,d 520-580,0.9710712,3.1 +4,5,15722,4,1,7,1,37,3.1,-0.24,68,Y,-0.02,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,8,15778,7,2,7,2,30,3.1,0.48,62,Y,0.68,P,2,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +8,8,15779,8,2,7,3,39,3.1,0.61,69,Y,0.58,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,6,15780,7,1,7,3,40,3.1,0.28,68,Y,0.09,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,6,15787,7,2,7,2,34,3.1,0.36,67,Y,0.01,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,6,15789,7,1,7,3,36,3.1,0.37,58,Y,0.09,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,15791,10,1,7,3,35,3.1,1.71,69,Y,1.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,3,15813,3,2,7,3,35,3.1,-0.68,57,Y,-0.67,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,2,15823,1,2,7,5,40,3.1,-1.84,61,Y,-1.24,F,7,P,95,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,3,15827,2,1,3,1,31,3.1,-0.93,63,Y,-0.77,P,7,P,94,1,1,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,1,15850,1,2,7,4,36,3.1,-1.39,66,Y,-2.16,F,7,F,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,15861,10,2,7,1,42,3.1,1.4,68,Y,1.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,15865,,2,7,1,42,3.1,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +7,6,15871,7,1,7,1,43,3.1,0.55,64,Y,0.08,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +8,8,15928,8,2,4,1,44,3.1,0.64,60,Y,0.56,P,2,P,95,1,4,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +6,6,15937,6,1,7,2,30.5,3.1,0.09,69,Y,0.21,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +,,15952,,2,3,5,28,3.1,,65,Y,,P,7,P,94,1,4,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,594.210514,e 580-640,e 580-640,0.9710712,3.1 +10,10,15982,10,2,7,1,42,3.1,1.33,65,Y,1.39,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,8,16030,9,1,7,3,36,3.1,0.84,69,Y,0.84,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,2,16040,4,1,7,1,42,3.1,-0.4,68,Y,-1.12,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +7,9,16058,7,1,7,3,36,3.1,0.46,69,Y,1.04,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,5,16091,5,2,7,3,34,3.1,-0.16,61,Y,-0.05,P,7,P,94,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +9,9,16092,9,2,7,3,34,3.1,0.87,56,Y,0.93,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,16097,1,1,6,3,34,3.1,-1.4,65,Y,-1.86,F,2,F,96,2,4,-63,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,16104,10,1,7,1,48,3.1,1.99,69,Y,2.42,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,909.999974,g 700+,i 820+,0.9710712,3.1 +,,16120,,2,7,4,37,3.1,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,3,16153,3,2,7,3,33,3.1,-0.52,67,Y,-0.58,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,6,16155,6,1,7,1,41,3.1,0.12,68,Y,0.15,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,10,16212,10,2,7,3,36,3.1,1.7,69,Y,1.37,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,5,16213,4,1,3,1,35,3.1,-0.37,63,Y,-0.07,F,7,P,96,1,2,-56,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +7,6,16229,7,1,7,3,39,3.1,0.44,63,Y,0.21,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,4,16258,3,2,7,1,34,3.1,-0.66,62,Y,-0.33,P,7,P,94,1,1,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,4,16270,4,2,7,3,35,3.1,-0.26,69,Y,-0.42,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,2,16307,3,2,3,2,25,3.1,-0.68,57,Y,-1.14,F,2,F,96,2,2,-55,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,546.842095,d 520-580,d 520-580,0.9710712,3.1 +2,4,16309,2,2,7,1,39,3.1,-0.84,69,Y,-0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,9,16317,8,2,7,1,46,3.1,0.82,67,Y,1.26,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,878.421028,g 700+,i 820+,0.9710712,3.1 +6,3,16352,6,1,7,1,34,3.1,0.15,57,Y,-0.85,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,8,16367,6,1,7,1,39,3.1,0.11,68,Y,0.79,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,6,16370,6,1,7,3,33,3.1,0.07,69,Y,0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,7,16373,8,1,7,3,38,3.1,0.54,69,Y,0.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,16447,3,1,7,2,32.5,3.1,-0.78,69,Y,-0.93,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +3,6,16452,4,1,2,3,35,3.1,-0.51,65,Y,0.17,P,7,P,94,1,3,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,3,16460,2,1,7,1,35,3.1,-0.88,63,Y,-0.59,P,7,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,2,16478,3,1,3,6,25,3.1,-0.58,39,Y,-1.28,P,7,P,94,1,5,-32,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,546.842095,d 520-580,d 520-580,0.9710712,3.1 +4,1,16484,4,2,7,1,42,3.1,-0.29,68,Y,-1.56,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +9,10,16507,9,1,7,4,40,3.1,1,47,Y,1.57,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,2,16512,3,1,7,4,41,3.1,-0.61,68,Y,-0.86,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,7,16517,9,2,7,3,40,3.1,1.08,69,Y,0.26,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,2,16544,2,1,5,3,24,3.1,-1.18,68,Y,-1.23,F,7,P,95,1,1,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +3,6,16546,4,2,7,3,43,3.1,-0.43,66,Y,0.04,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +4,6,16552,5,2,2,3,26.7,3.1,-0.22,67,Y,0.04,F,7,P,96,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,573.6841991,d 520-580,d 520-580,0.9710712,3.1 +8,10,16585,8,2,7,2,38,3.1,0.57,68,Y,1.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,10,16586,6,1,7,3,45,3.1,0.05,66,Y,1.58,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +8,8,16587,8,1,7,3,32,3.1,0.74,69,Y,0.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +2,4,16594,2,2,7,1,37,3.1,-1.04,64,Y,-0.32,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,9,16605,8,1,7,3,38,3.1,0.65,69,Y,1.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,1,16626,2,2,7,1,40,3.1,-1.14,69,Y,-1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,4,16645,3,1,7,3,36,3.1,-0.67,65,Y,-0.43,P,2,P,96,2,4,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,16662,1,2,2,1,32.5,3.1,-1.36,69,Y,,F,7,F,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +5,6,16669,5,1,7,3,35.5,3.1,-0.04,69,Y,0.15,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.6315615,g 700+,g 700-760,0.9710712,3.1 +5,4,16697,5,1,7,1,30,3.1,-0.1,56,Y,-0.37,F,7,P,95,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,2,16709,4,1,7,3,28.5,3.1,-0.36,69,Y,-0.99,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,602.1052505,e 580-640,e 580-640,0.9710712,3.1 +5,2,16722,5,2,7,1,40,3.1,-0.06,69,Y,-1.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,4,16742,4,2,7,4,34,3.1,-0.32,68,Y,-0.46,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,3,16758,4,1,7,3,32.3,3.1,-0.4,67,Y,-0.6,F,7,F,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,662.1052479,f 640-700,f 640-700,0.9710712,3.1 +9,8,16760,9,1,7,3,38,3.1,0.93,69,Y,0.64,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,16770,2,2,7,4,40,3.1,-0.85,69,Y,-1.3,F,7,F,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,8,16796,7,2,7,3,42,3.1,0.49,67,Y,0.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +2,3,16806,2,2,7,2,32,3.1,-0.99,68,Y,-0.67,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +5,4,16808,5,1,2,4,38,3.1,-0.04,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,4,16835,5,1,7,4,33,3.1,-0.16,68,Y,-0.35,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,9,16848,10,1,7,4,38,3.1,1.35,51,Y,1.11,P,7,P,95,2,3,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,3,16852,2,2,8,1,42,3.1,-1.08,68,Y,-0.67,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,5,16876,3,2,7,3,33,3.1,-0.59,68,Y,-0.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,3,16880,2,1,7,3,34,3.1,-0.99,67,Y,-0.86,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,6,16892,6,1,7,3,37,3.1,0,69,Y,0.06,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,5,16939,5,2,7,1,42,3.1,-0.18,69,Y,-0.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,5,16941,5,1,7,1,38,3.1,-0.18,66,Y,-0.03,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,2,16950,5,1,3,4,34,3.1,-0.24,70,Y,-1.26,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,2,17023,4,2,7,4,37,3.1,-0.35,63,Y,-0.89,F,7,P,95,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,9,17069,9,2,7,3,41,3.1,0.87,67,Y,1.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,4,17099,3,2,7,5,40,3.1,-0.83,65,Y,-0.34,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,1,17101,1,1,7,3,30,3.1,-1.7,64,Y,-2.1,P,7,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,3,17118,5,2,7,4,30,3.1,-0.24,69,Y,-0.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,625.78946,e 580-640,e 580-640,0.9710712,3.1 +5,5,17131,6,2,7,3,37,3.1,0,67,Y,-0.24,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,5,17133,7,2,7,3,37,3.1,0.26,67,Y,-0.11,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,3,17146,2,1,3,4,28,3.1,-0.96,68,Y,-0.71,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,594.210514,e 580-640,e 580-640,0.9710712,3.1 +4,6,17149,4,1,7,3,36,3.1,-0.27,66,Y,0.2,P,7,P,94,1,1,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,5,17151,5,2,2,3,39,3.1,-0.03,69,Y,-0.2,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,4,17160,6,1,4,3,31,3.1,0.2,68,Y,-0.41,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +9,8,17167,9,2,7,4,36,3.1,0.92,69,Y,0.6,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,7,17171,5,1,7,3,37,3.1,-0.17,67,Y,0.43,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,5,17188,6,1,7,2,29,3.1,0.01,69,Y,-0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +2,2,17189,3,2,7,3,42,3.1,-0.74,64,Y,-1.04,P,7,P,94,1,1,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,8,17192,5,2,7,3,35,3.1,-0.06,69,Y,0.65,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,1,17223,1,2,7,3,41,3.1,-1.63,68,Y,-1.47,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,5,17228,5,2,7,1,35,3.1,-0.02,67,Y,-0.18,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,2,17231,1,2,3,1,20,3.1,-1.29,69,Y,-1.18,P,2,P,95,2,2,-67,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,467.89473,c 460-520,c 460-520,0.9710712,3.1 +1,1,17232,2,2,3,2,20,3.1,-1.1,68,Y,-1.54,F,7,P,95,1,,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,467.89473,c 460-520,c 460-520,0.9710712,3.1 +6,5,17235,6,2,7,4,34,3.1,0.2,56,Y,-0.14,P,7,P,95,2,1,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,4,17267,4,2,7,2,32,3.1,-0.49,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +5,5,17275,6,1,8,3,38,3.1,0.04,67,Y,-0.25,P,7,P,94,1,4,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,6,17300,6,1,7,3,34,3.1,0.17,66,Y,-0.02,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,4,17303,8,2,7,3,42,3.1,0.52,69,Y,-0.42,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,17344,,2,7,1,45,3.1,,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +9,9,17346,9,1,7,2,34,3.1,0.84,69,Y,1.3,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,4,17353,4,2,7,2,27.5,3.1,-0.41,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,586.3157775,e 580-640,e 580-640,0.9710712,3.1 +6,6,17363,6,1,7,4,47,3.1,0.1,62,Y,0.23,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,894.210501,g 700+,i 820+,0.9710712,3.1 +10,7,17364,10,2,7,5,42,3.1,1.57,69,Y,0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,5,17385,5,2,7,2,30,3.1,-0.28,68,Y,-0.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,3,17394,4,2,7,1,33,3.1,-0.24,68,Y,-0.82,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,5,17428,5,1,7,1,42,3.1,0.01,69,Y,-0.23,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +2,3,17429,3,2,7,2,34,3.1,-0.85,67,Y,-0.63,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,9,17445,7,2,7,1,43,3.1,0.48,67,Y,0.88,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +7,6,17463,7,2,7,1,43,3.1,0.34,69,Y,0.22,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +10,10,17494,10,1,7,2,33,3.1,1.98,69,Y,1.82,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,17533,10,2,7,3,44,3.1,1.61,68,Y,2.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +7,9,17538,8,2,7,3,37,3.1,0.55,68,Y,0.98,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,7,17548,8,2,7,2,37,3.1,0.79,69,Y,0.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,3,17556,2,1,8,3,31,3.1,-0.89,68,Y,-0.74,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,4,17573,7,2,2,1,31,3.1,0.35,70,Y,-0.38,P,2,P,94,1,3,-68,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,9,17590,7,2,7,3,41,3.1,0.5,67,Y,0.89,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,2,17608,5,1,7,1,38,3.1,-0.21,68,Y,-1.1,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,5,17612,5,2,7,1,39.5,3.1,-0.05,66,Y,-0.01,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.7894535,g 700+,h 760-820,0.9710712,3.1 +7,9,17615,7,2,7,3,37,3.1,0.52,68,Y,1.15,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,3,17632,5,2,7,1,38,3.1,-0.22,68,Y,-0.62,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,9,17651,9,2,7,3,33,3.1,0.92,69,Y,1.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,2,17691,4,1,7,3,33,3.1,-0.36,61,Y,-1.14,P,7,P,95,2,2,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +1,1,17699,1,1,8,4,27,3.1,-2.86,70,Y,-2.3,F,7,P,96,1,3,-63,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,578.421041,d 520-580,d 520-580,0.9710712,3.1 +5,5,17711,5,1,7,3,34,3.1,-0.03,64,Y,-0.18,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,5,17713,4,1,7,4,34,3.1,-0.33,59,Y,-0.14,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,5,17735,5,2,7,1,39,3.1,-0.12,69,Y,-0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,8,17741,4,2,7,1,38,3.1,-0.25,63,Y,0.59,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,4,17754,9,2,7,3,29,3.1,1.06,65,Y,-0.5,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +,,17760,,1,7,4,42,3.1,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +9,10,17797,9,2,7,3,34,3.1,1.12,66,Y,1.45,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +9,9,17840,9,2,7,1,37,3.1,1.11,69,Y,1.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,9,17869,9,2,7,1,45,3.1,1.16,66,Y,0.96,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +3,3,17882,3,1,7,4,34,3.1,-0.54,69,Y,-0.76,F,7,P,96,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,5,17886,6,1,7,3,38,3.1,0.16,67,Y,-0.23,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +,,17891,,2,7,1,41,3.1,,69,Y,-0.24,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +8,7,17892,8,2,7,3,35,3.1,0.83,68,Y,0.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +7,7,17894,8,1,7,3,35,3.1,0.53,68,Y,0.4,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,7,17901,8,1,7,6,39,3.1,0.81,61,Y,0.41,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,8,17905,8,1,7,3,32.5,3.1,0.78,68,Y,0.78,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +8,7,17912,8,2,7,4,43,3.1,0.82,56,Y,0.27,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +1,1,17913,2,2,7,3,36,3.1,-1.23,69,Y,-2.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,6,17936,6,2,7,4,33,3.1,0.2,68,Y,0.09,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,4,17974,3,1,7,3,33,3.1,-0.78,68,Y,-0.51,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,7,17981,7,1,7,2,33,3.1,0.22,68,Y,0.38,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,2,18001,5,1,7,3,38,3.1,-0.07,67,Y,-1.21,P,7,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,3,18036,4,1,7,1,40,3.1,-0.46,66,Y,-0.85,F,7,F,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,2,18085,3,1,6,1,35,3.1,-0.67,63,Y,-1.29,P,7,P,95,2,3,-56,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,9,18088,9,2,7,4,39,3.1,1.02,67,Y,1.28,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,1,18092,1,2,7,5,48,3.1,-1.95,69,Y,-2.82,F,7,F,95,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,909.999974,g 700+,i 820+,0.9710712,3.1 +3,4,18118,3,1,7,5,41,3.1,-0.63,69,Y,-0.33,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,799.473663,g 700+,h 760-820,0.9710712,3.1 +8,8,18131,8,1,7,3,35.3,3.1,0.67,69,Y,0.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,709.4736669,g 700+,g 700-760,0.9710712,3.1 +5,6,18137,6,2,7,3,36.5,3.1,0.05,68,Y,-0.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.4210345,g 700+,g 700-760,0.9710712,3.1 +7,5,18142,7,2,7,3,36.5,3.1,0.52,68,Y,-0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.4210345,g 700+,g 700-760,0.9710712,3.1 +5,5,18165,5,1,7,3,42,3.1,-0.13,69,Y,-0.14,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,4,18180,3,1,7,2,37,3.1,-0.6,65,Y,-0.6,P,2,P,94,1,1,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,7,18187,8,1,7,2,33,3.1,0.66,54,Y,0.38,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +2,1,18192,2,2,7,2,20,3.1,-0.95,58,Y,-1.37,F,7,F,95,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,467.89473,c 460-520,c 460-520,0.9710712,3.1 +,,18195,5,1,7,4,31,3.1,-0.08,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,641.578933,f 640-700,f 640-700,0.9710712,3.1 +5,4,18200,6,1,7,4,40,3.1,0.02,66,Y,-0.25,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,6,18219,7,2,7,2,39,3.1,0.38,62,Y,0.19,P,2,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,4,18224,3,1,7,3,35,3.1,-0.74,52,Y,-0.5,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,2,18238,2,1,7,2,39,3.1,-1.24,69,Y,-1.24,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,7,18251,8,1,6,4,39,3.1,0.8,69,Y,0.38,F,7,P,95,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +,,18264,4,1,3,5,32,3.1,-0.49,69,Y,,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,657.368406,f 640-700,f 640-700,0.9710712,3.1 +5,6,18273,5,2,7,1,41,3.1,-0.11,64,Y,0.21,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,6,18293,5,2,7,5,41.5,3.1,-0.15,67,Y,0.05,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,807.3683995,g 700+,h 760-820,0.9710712,3.1 +,,18296,,2,2,5,36.3,3.1,,68,Y,,F,7,P,95,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,725.2631399,g 700+,g 700-760,0.9710712,3.1 +3,3,18378,3,1,2,4,35.5,3.1,-0.57,69,Y,-0.82,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,712.6315615,g 700+,g 700-760,0.9710712,3.1 +5,7,18389,5,2,7,4,26,3.1,-0.14,67,Y,0.31,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,562.631568,d 520-580,d 520-580,0.9710712,3.1 +9,10,18414,9,2,7,1,38,3.1,1.25,67,Y,1.32,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,10,18423,9,2,7,1,36,3.1,0.94,68,Y,1.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,2,18428,5,1,7,3,31,3.1,-0.2,61,Y,-0.93,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +6,6,18432,7,1,7,3,38,3.1,0.3,68,Y,-0.02,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,1,18434,3,2,7,3,38,3.1,-0.84,68,Y,-1.36,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,18480,2,2,7,3,36,3.1,-0.89,69,Y,-1.04,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,8,18519,7,1,7,3,34,3.1,0.48,66,Y,0.82,P,7,P,95,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,7,18608,7,1,2,4,42,3.1,0.4,65,Y,0.39,P,7,P,94,1,3,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +2,1,18631,3,2,2,3,32,3.1,-0.84,69,Y,-1.36,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +5,7,18648,5,2,7,5,37,3.1,-0.05,66,Y,0.33,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,5,18651,5,2,7,1,34,3.1,0.04,68,Y,-0.18,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,5,18662,4,2,7,3,36,3.1,-0.41,67,Y,-0.1,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,18672,,1,3,1,22,3.1,,67,Y,,F,7,P,95,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,499.473676,c 460-520,c 460-520,0.9710712,3.1 +3,6,18702,4,1,7,1,48,3.1,-0.43,69,Y,0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,909.999974,g 700+,i 820+,0.9710712,3.1 +5,1,18708,5,1,2,4,29.5,3.1,-0.12,69,Y,-1.62,F,7,F,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +1,2,18733,1,1,8,3,40,3.1,-1.36,65,Y,-1.01,P,2,P,95,1,3,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,3,18769,3,1,7,3,40,3.1,-0.63,68,Y,-0.87,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +9,9,18775,9,2,7,3,41,3.1,1.11,69,Y,0.98,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,5,18778,5,1,6,3,24,3.1,-0.03,68,Y,-0.1,P,2,P,94,1,3,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +10,10,18806,10,2,7,3,42,3.1,1.57,63,Y,1.87,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +4,2,18837,4,1,7,3,28.5,3.1,-0.33,69,Y,-1.28,P,7,P,94,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,602.1052505,e 580-640,e 580-640,0.9710712,3.1 +2,1,18848,2,1,4,5,39,3.1,-1.07,67,Y,-1.52,P,2,P,95,1,1,-65,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,7,18854,9,2,7,3,41,3.1,1.08,69,Y,0.42,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,5,18885,3,2,7,1,45,3.1,-0.57,69,Y,-0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,862.631555,g 700+,i 820+,0.9710712,3.1 +9,9,18888,9,2,7,3,36,3.1,1.16,64,Y,1.26,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,2,18893,1,2,7,3,44,3.1,-1.37,68,Y,-0.94,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +1,1,18896,1,2,3,5,27,3.1,-2.22,69,Y,-2.48,F,7,F,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,6,578.421041,d 520-580,d 520-580,0.9710712,3.1 +5,3,18918,5,2,7,4,34,3.1,-0.03,68,Y,-0.63,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,4,18938,3,1,7,1,37,3.1,-0.8,64,Y,-0.48,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,8,18940,9,2,7,3,34,3.1,0.86,67,Y,0.68,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,3,18945,5,2,8,3,34,3.1,-0.13,65,Y,-0.74,P,7,P,94,1,3,-58,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,1,18962,3,2,7,1,36,3.1,-0.77,54,Y,-1.44,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,3,18973,3,1,6,4,46,3.1,-0.57,68,Y,-0.69,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,878.421028,g 700+,i 820+,0.9710712,3.1 +4,3,18974,4,1,8,1,42,3.1,-0.33,63,Y,-0.55,P,7,P,94,1,3,-56,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,2,18975,2,2,7,3,30,3.1,-1.21,68,Y,-1.05,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +9,8,18978,9,2,7,5,40,3.1,1.26,68,Y,0.77,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +6,6,19010,6,2,7,1,39,3.1,0.14,67,Y,0.1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,4,19016,5,,7,3,30,3.1,-0.1,63,Y,-0.34,P,7,P,94,1,,-56,,0,,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,3,19020,5,1,7,3,42,3.1,-0.24,67,Y,-0.83,F,7,F,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,5,19024,5,1,2,2,27.5,3.1,-0.18,69,Y,-0.14,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,586.3157775,e 580-640,e 580-640,0.9710712,3.1 +9,9,19034,10,2,7,3,31,3.1,1.26,69,Y,1.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,7,19035,7,2,8,1,39,3.1,0.51,68,Y,0.48,P,7,P,93,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,19049,10,2,7,4,37,3.1,2.14,69,Y,2.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,9,19064,9,1,7,3,41,3.1,0.94,66,Y,1.13,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,7,19072,7,2,7,4,38,3.1,0.41,69,Y,0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,5,19080,8,1,7,1,41,3.1,0.82,69,Y,-0.08,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +1,2,19157,1,1,6,3,29,3.1,-1.45,68,Y,-1.19,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +9,7,19164,9,2,7,3,39,3.1,1.19,69,Y,0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,8,19170,6,2,7,1,35,3.1,0.26,68,Y,0.64,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,4,19187,1,2,7,3,32,3.1,-1.45,67,Y,-0.55,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +2,2,19203,3,1,2,4,39,3.1,-0.8,67,Y,-1.25,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,4,19229,4,2,7,1,42,3.1,-0.43,48,Y,-0.31,P,7,P,94,1,1,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,19240,,2,6,1,22.5,3.1,,68,Y,,F,7,P,96,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,507.3684125,c 460-520,c 460-520,0.9710712,3.1 +5,4,19248,5,2,7,5,41,3.1,0.02,69,Y,-0.28,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,9,19251,9,2,7,3,33,3.1,1.25,61,Y,1.31,P,2,P,96,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,8,19262,6,2,7,3,35,3.1,0.12,57,Y,0.59,P,2,P,96,2,2,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,8,19281,6,1,7,3,35,3.1,0.03,69,Y,0.55,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,8,19290,8,2,7,3,40,3.1,0.7,69,Y,0.83,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,9,19296,8,1,7,4,39,3.1,0.58,63,Y,1.12,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,19314,10,2,7,3,37,3.1,2.44,69,Y,2.33,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,5,19316,6,2,7,4,45,3.1,0.06,68,Y,-0.16,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +9,10,19328,9,2,7,1,42,3.1,1.28,66,Y,1.45,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +7,9,19332,7,1,7,1,42,3.1,0.46,69,Y,1.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +7,9,19339,7,1,7,3,42,3.1,0.44,66,Y,1.29,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +10,9,19359,10,2,7,1,38,3.1,1.31,65,Y,1.09,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,8,19366,8,2,7,4,44,3.1,0.71,60,Y,0.69,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,846.842082,g 700+,i 820+,0.9710712,3.1 +,,19442,,2,7,,28.5,3.1,0.35,68,Y,0.1,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,602.1052505,e 580-640,e 580-640,0.9710712,3.1 +9,9,19446,9,1,7,2,32,3.1,0.85,69,Y,1.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +3,5,19506,3,1,7,3,27.5,3.1,-0.52,69,Y,-0.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,586.3157775,e 580-640,e 580-640,0.9710712,3.1 +6,5,19507,6,2,7,1,27.5,3.1,0.25,67,Y,-0.11,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,586.3157775,e 580-640,e 580-640,0.9710712,3.1 +5,4,19513,6,2,7,1,36,3.1,0.05,69,Y,-0.35,F,7,F,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,7,19533,6,1,7,3,37,3.1,0.14,69,Y,0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,5,19538,4,2,7,1,39,3.1,-0.28,68,Y,0,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,8,19545,8,2,8,5,36,3.1,0.64,66,Y,0.75,P,7,P,94,1,4,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,3,19550,4,1,7,2,29,3.1,-0.4,69,Y,-0.64,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +6,6,19559,6,1,7,3,37.5,3.1,0.19,68,Y,-0.02,P,6,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.2105075,g 700+,g 700-760,0.9710712,3.1 +7,6,19570,8,2,7,2,38,3.1,0.55,66,Y,0.19,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,19573,1,2,7,5,37,3.1,-1.44,53,Y,-1.81,F,2,P,96,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,5,19590,5,2,7,3,40,3.1,-0.17,69,Y,-0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,9,19594,8,2,7,4,39,3.1,0.74,65,Y,1.15,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,8,19633,6,2,7,2,33,3.1,0.08,56,Y,0.84,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,2,19652,5,2,7,3,24,3.1,-0.24,66,Y,-1.2,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +9,9,19664,9,1,7,3,35,3.1,0.9,55,Y,1.21,P,7,P,94,2,4,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,2,19674,4,1,7,1,36,3.1,-0.46,69,Y,-1.01,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +8,6,19679,8,2,7,4,34,3.1,0.64,69,Y,0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,19689,1,1,7,3,30,3.1,-1.4,71,Y,-1.68,F,7,F,94,1,2,-64,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,4,19715,4,1,4,5,35,3.1,-0.43,68,Y,-0.32,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,10,19755,10,2,7,1,46,3.1,1.42,68,Y,1.42,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,878.421028,g 700+,i 820+,0.9710712,3.1 +10,10,19770,10,1,7,1,42,3.1,1.54,68,Y,1.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,4,19775,5,1,7,4,44.5,3.1,-0.19,66,Y,-0.26,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,854.7368185,g 700+,i 820+,0.9710712,3.1 +3,4,19780,3,2,7,3,36,3.1,-0.59,67,Y,-0.44,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,19794,2,2,3,1,31,3.1,-1.25,67,Y,-1.83,F,7,P,96,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,7,19797,7,2,7,4,38.5,3.1,0.31,68,Y,0.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,759.9999805,g 700+,g 700-760,0.9710712,3.1 +4,6,19802,5,2,1,1,38,3.1,-0.21,67,Y,0.02,P,7,P,94,1,4,-60,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,19805,1,1,3,3,27,3.1,-1.33,66,Y,-1.46,F,2,P,94,1,3,-64,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,578.421041,d 520-580,d 520-580,0.9710712,3.1 +1,1,19806,1,1,8,5,44,3.1,-1.85,68,Y,-1.44,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,846.842082,g 700+,i 820+,0.9710712,3.1 +10,5,19820,10,2,7,5,46,3.1,1.98,62,Y,0,P,7,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,878.421028,g 700+,i 820+,0.9710712,3.1 +8,6,19823,8,1,7,3,37,3.1,0.57,69,Y,0.14,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,8,19851,9,1,7,3,38,3.1,1.12,69,Y,0.76,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,1,19863,4,2,7,2,31,3.1,-0.52,69,Y,-1.52,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +6,9,19871,6,2,8,3,32,3.1,0.08,68,Y,1.03,P,2,P,95,2,3,-66,male,1,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +3,2,19880,3,2,7,1,30,3.1,-0.58,61,Y,-1.11,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,625.78946,e 580-640,e 580-640,0.9710712,3.1 +3,7,19900,4,1,3,6,34,3.1,-0.35,69,Y,0.45,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,4,19910,4,1,3,3,27,3.1,-0.41,68,Y,-0.37,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,578.421041,d 520-580,d 520-580,0.9710712,3.1 +3,3,19913,3,1,6,5,29.5,3.1,-0.64,67,Y,-0.76,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +5,3,19915,5,1,7,3,40,3.1,-0.11,62,Y,-0.76,P,7,P,94,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,4,19918,3,1,2,4,35,3.1,-0.8,65,Y,-0.36,P,7,P,95,2,5,-58,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,7,19928,4,1,7,6,42,3.1,-0.35,62,Y,0.4,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,19936,,1,7,3,38,3.1,,33,Y,,P,7,P,94,1,4,-26,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +,,19951,7,2,7,3,35,3.1,0.33,52,Y,,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,2,19958,3,1,4,1,30.5,3.1,-0.79,68,Y,-0.95,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +6,4,19959,6,1,7,1,35,3.1,0.25,69,Y,-0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,8,19989,3,1,7,3,33.5,3.1,-0.68,68,Y,0.62,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +7,7,20016,7,1,7,1,34,3.1,0.35,52,Y,0.36,P,7,P,95,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,2,20018,3,2,7,3,41,3.1,-0.58,69,Y,-1.09,F,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,10,20023,10,2,6,3,37,3.1,1.27,69,Y,1.58,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,3,20029,3,2,7,3,36,3.1,-0.53,68,Y,-0.61,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,9,20031,9,2,7,3,36,3.1,0.89,53,Y,0.93,P,7,P,94,1,4,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,1,20041,3,1,3,5,36,3.1,-0.64,69,Y,-1.58,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,20051,1,1,7,1,41,3.1,-1.56,67,Y,-2.15,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,6,20072,6,1,7,1,36,3.1,0.27,66,Y,0.29,P,2,P,96,2,3,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,2,20108,1,2,7,1,29,3.1,-2.08,58,Y,-1.3,P,7,P,94,1,,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,609.999987,e 580-640,e 580-640,0.9710712,3.1 +5,4,20122,6,2,7,1,40,3.1,0.06,70,Y,-0.34,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +9,7,20160,9,2,7,1,35,3.1,1.17,65,Y,0.47,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,10,20177,10,1,7,4,36,3.1,1.49,69,Y,1.7,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,5,20202,5,1,7,3,43,3.1,-0.05,68,Y,-0.07,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +,,20205,,2,7,,26,3.1,-0.64,63,Y,-1.5,F,2,F,96,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,,562.631568,d 520-580,d 520-580,0.9710712,3.1 +8,8,20224,8,2,7,3,42,3.1,0.65,68,Y,0.64,P,7,P,93,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +6,6,20225,6,1,7,3,35,3.1,0.19,69,Y,0.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,6,20231,9,2,8,3,38,3.1,0.96,51,Y,0.01,P,7,P,94,1,3,-44,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,4,20232,5,1,7,1,34,3.1,-0.17,55,Y,-0.4,F,7,F,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,5,20234,5,1,7,3,35,3.1,-0.03,69,Y,-0.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,5,20280,5,2,7,1,40,3.1,0,69,Y,-0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,1,20286,4,2,7,3,37,3.1,-0.31,68,Y,-1.49,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,1,20287,2,2,7,3,32,3.1,-0.96,69,Y,-1.61,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +5,4,20288,5,2,7,1,34,3.1,-0.07,64,Y,-0.37,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,6,20289,8,2,7,3,38,3.1,0.79,68,Y,0.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,10,20302,10,1,7,3,41,3.1,2.75,65,Y,2.08,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,5,20317,4,1,7,3,39,3.1,-0.38,69,Y,-0.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,4,20319,7,1,7,4,38,3.1,0.27,69,Y,-0.39,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,5,20337,4,1,7,3,31.5,3.1,-0.35,68,Y,-0.12,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +8,8,20342,8,1,2,1,44,3.1,0.84,65,Y,0.6,P,7,P,94,1,1,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +6,7,20351,6,1,7,2,32.5,3.1,0.15,70,Y,0.44,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +,,20380,,2,7,5,46,3.1,,64,Y,,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,878.421028,g 700+,i 820+,0.9710712,3.1 +3,4,20402,4,2,7,3,28,3.1,-0.44,69,Y,-0.5,P,2,P,95,2,3,-67,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +4,3,20409,5,2,2,3,29.5,3.1,-0.18,70,Y,-0.63,P,7,P,94,1,4,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +7,7,20448,7,1,7,1,46,3.1,0.57,69,Y,0.32,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,878.421028,g 700+,i 820+,0.9710712,3.1 +3,4,20483,3,2,7,1,38,3.1,-0.55,68,Y,-0.38,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,10,20498,8,2,7,4,42,3.1,0.83,64,Y,1.45,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,5,20538,3,1,7,3,34,3.1,-0.69,69,Y,-0.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +3,2,20553,3,2,7,5,38,3.1,-0.67,67,Y,-0.93,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,7,20568,8,1,7,3,34,3.1,0.65,57,Y,0.32,P,2,P,95,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,7,20572,5,2,7,4,42,3.1,-0.07,68,Y,0.42,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +2,2,20586,2,1,7,4,39,3.1,-1,69,Y,-1.21,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,7,20593,7,1,7,3,40,3.1,0.46,68,Y,0.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +10,10,20595,10,2,7,6,26.7,3.1,1.55,63,Y,1.49,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,573.6841991,d 520-580,d 520-580,0.9710712,3.1 +10,10,20623,10,2,7,3,40,3.1,1.34,68,Y,1.38,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,2,20624,1,2,7,1,41,3.1,-1.76,62,Y,-1.17,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,5,20628,6,2,7,1,42,3.1,0.16,67,Y,-0.13,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,7,20640,5,2,7,1,47,3.1,-0.03,70,Y,0.45,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,894.210501,g 700+,i 820+,0.9710712,3.1 +9,7,20643,9,2,7,2,36,3.1,1.16,59,Y,0.38,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,7,20647,10,1,7,1,35,3.1,1.74,68,Y,0.43,P,2,P,95,2,4,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,2,20677,3,2,7,3,35,3.1,-0.83,67,Y,-0.93,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +6,7,20684,6,2,7,3,39,3.1,0.19,63,Y,0.36,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +3,4,20687,3,2,7,3,30,3.1,-0.6,69,Y,-0.43,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +2,1,20720,2,2,3,4,24,3.1,-0.91,67,Y,-1.41,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,531.052622,d 520-580,d 520-580,0.9710712,3.1 +3,2,20741,3,2,7,1,37,3.1,-0.69,68,Y,-0.97,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,4,20746,4,1,7,4,31,3.1,-0.44,68,Y,-0.47,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,641.578933,f 640-700,f 640-700,0.9710712,3.1 +6,3,20747,6,1,7,3,32,3.1,0.07,69,Y,-0.69,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +6,8,20753,7,1,7,3,30.5,3.1,0.27,69,Y,0.81,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +4,2,20761,4,2,7,3,31,3.1,-0.39,68,Y,-0.91,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +2,4,20766,3,2,7,3,32,3.1,-0.76,69,Y,-0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +9,10,20784,9,2,7,1,38,3.1,1.15,68,Y,1.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,7,20792,8,1,7,3,36,3.1,0.61,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,4,20800,7,1,7,1,35,3.1,0.44,69,Y,-0.37,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,6,20822,8,2,7,1,37,3.1,0.78,68,Y,0.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,4,20827,4,1,7,3,37.5,3.1,-0.27,68,Y,-0.44,P,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.2105075,g 700+,g 700-760,0.9710712,3.1 +5,3,20842,5,2,7,4,39,3.1,-0.01,69,Y,-0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,4,20885,5,2,7,1,42,3.1,-0.11,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +2,3,20889,2,2,7,5,38,3.1,-0.98,69,Y,-0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,3,20895,3,2,7,3,36,3.1,-0.74,58,Y,-0.84,F,7,P,95,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,2,20908,3,1,6,4,26,3.1,-0.65,66,Y,-1.26,F,7,P,95,1,,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,562.631568,d 520-580,d 520-580,0.9710712,3.1 +5,6,20946,5,1,7,3,39,3.1,-0.03,67,Y,0.24,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,8,20953,9,2,7,3,45,3.1,0.91,67,Y,0.76,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +9,10,20954,9,1,7,3,33,3.1,0.98,67,Y,1.44,P,7,P,95,2,2,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,5,20982,4,2,7,3,37,3.1,-0.25,68,Y,-0.12,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,3,21027,4,2,7,3,39,3.1,-0.51,68,Y,-0.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,1,21038,1,1,7,2,38,3.1,-1.69,65,Y,-2.17,F,7,F,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,3,21040,5,2,7,3,38,3.1,-0.17,69,Y,-0.65,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,3,21051,3,2,7,3,35,3.1,-0.7,68,Y,-0.72,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,8,21064,9,1,7,3,34,3.1,1.03,67,Y,0.77,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,21093,10,2,7,3,37,3.1,1.58,67,Y,1.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,8,21130,8,1,7,3,32,3.1,0.76,69,Y,0.71,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +,,21135,,2,7,2,35,3.1,,53,Y,,P,7,P,94,1,4,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,2,21141,3,1,6,3,35,3.1,-0.53,70,Y,-0.9,P,7,P,94,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,5,21143,5,1,7,3,35,3.1,-0.08,69,Y,-0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +7,7,21164,7,1,4,4,40,3.1,0.34,67,Y,0.49,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,5,21178,3,2,7,3,29.5,3.1,-0.81,68,Y,-0.11,F,2,P,95,2,4,-66,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +,,21180,2,1,2,5,39,3.1,-0.91,67,Y,,F,7,P,95,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,6,21193,6,2,7,3,36,3.1,0.11,69,Y,0.08,F,6,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +8,8,21200,8,2,7,4,45,3.1,0.8,67,Y,0.61,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +9,9,21208,9,2,7,1,43,3.1,1.11,69,Y,1.11,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +10,10,21230,10,2,6,3,39,3.1,1.64,66,Y,2.01,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,8,21237,8,1,7,3,37,3.1,0.62,68,Y,0.72,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +2,4,21242,2,2,8,3,41,3.1,-0.86,68,Y,-0.38,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,10,21260,10,2,7,3,36.5,3.1,1.83,67,Y,1.99,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,728.4210345,g 700+,g 700-760,0.9710712,3.1 +9,8,21262,9,1,7,4,46,3.1,1.04,65,Y,0.61,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,878.421028,g 700+,i 820+,0.9710712,3.1 +4,4,21271,4,2,2,4,30,3.1,-0.38,65,Y,-0.45,F,7,F,95,2,4,-58,male,1,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,2,21281,5,2,7,1,29.7,3.1,-0.2,63,Y,-0.92,P,7,P,95,2,4,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,621.0526181,e 580-640,e 580-640,0.9710712,3.1 +2,4,21283,3,2,7,3,40,3.1,-0.8,62,Y,-0.53,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,2,21303,4,2,7,4,39,3.1,-0.3,68,Y,-0.99,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,5,21317,4,2,7,4,40,3.1,-0.26,67,Y,-0.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +5,5,21349,5,2,7,3,41,3.1,-0.05,69,Y,-0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,4,21351,5,2,7,3,32,3.1,-0.24,64,Y,-0.45,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +1,1,21354,1,1,3,1,24,3.1,-1.34,68,Y,-2.11,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,531.052622,d 520-580,d 520-580,0.9710712,3.1 +10,10,21361,10,2,7,1,34.5,3.1,1.88,66,Y,1.62,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +4,4,21368,4,1,7,1,36,3.1,-0.24,69,Y,-0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,3,21409,5,2,7,3,33,3.1,-0.24,66,Y,-0.67,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +,,21429,1,1,5,5,38,3.1,-1.47,69,Y,,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +6,4,21482,6,2,7,3,35,3.1,0.16,69,Y,-0.41,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,3,21484,2,2,7,4,42,3.1,-0.82,69,Y,-0.64,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,1,21497,3,2,4,3,34,3.1,-0.65,65,Y,-1.85,F,2,F,96,2,2,-63,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,3,21511,3,1,3,6,20,3.1,-0.77,69,Y,-0.68,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,467.89473,c 460-520,c 460-520,0.9710712,3.1 +2,4,21512,2,1,7,3,32,3.1,-0.97,68,Y,-0.51,F,7,F,94,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +10,10,21513,10,2,7,3,33,3.1,2.23,69,Y,2.6,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,7,21554,8,1,7,4,36,3.1,0.83,68,Y,0.4,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +2,2,21560,2,1,8,4,41,3.1,-1.06,66,Y,-1.27,P,2,P,95,1,5,-64,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,6,21564,7,1,7,2,30.5,3.1,0.22,61,Y,0.11,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +1,1,21574,1,2,3,1,28,3.1,-2.16,64,Y,-2.13,F,7,F,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +10,5,21592,10,2,7,5,41,3.1,1.71,69,Y,-0.17,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,3,21593,4,1,7,3,32.7,3.1,-0.37,67,Y,-0.62,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.4210371,f 640-700,f 640-700,0.9710712,3.1 +2,1,21625,2,2,7,4,41,3.1,-0.87,69,Y,-1.73,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,6,21629,7,1,3,3,29,3.1,0.29,61,Y,0.15,P,7,P,94,2,2,-54,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +6,6,21633,6,2,7,2,25.7,3.1,0.15,67,Y,0.1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,557.8947261,d 520-580,d 520-580,0.9710712,3.1 +3,1,21639,3,2,6,4,22.5,3.1,-0.65,67,Y,-1.97,F,7,F,95,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,507.3684125,c 460-520,c 460-520,0.9710712,3.1 +6,3,21643,7,2,2,3,33,3.1,0.28,69,Y,-0.67,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,5,21644,5,2,7,1,36,3.1,-0.19,64,Y,-0.08,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,21652,1,1,4,5,40,3.1,-2.15,67,Y,-2.49,F,7,P,95,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,2,21664,3,2,7,1,34,3.1,-0.73,64,Y,-0.99,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +,,21665,10,2,7,4,47,3.1,1.32,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,894.210501,g 700+,i 820+,0.9710712,3.1 +7,6,21669,7,2,7,5,42,3.1,0.51,67,Y,0.13,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +6,7,21673,6,1,7,1,41,3.1,0.26,68,Y,0.41,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,9,21674,9,2,7,5,46,3.1,1,67,Y,1.21,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,878.421028,g 700+,i 820+,0.9710712,3.1 +2,1,21676,2,2,2,1,31,3.1,-1.12,60,Y,-1.34,P,2,P,95,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,641.578933,f 640-700,f 640-700,0.9710712,3.1 +10,9,21678,10,1,7,1,42,3.1,1.7,68,Y,1.19,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +8,8,21685,8,1,7,1,41,3.1,0.86,68,Y,0.73,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,8,21694,6,1,7,2,34,3.1,0.19,69,Y,0.58,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,6,21695,8,2,3,4,33,3.1,0.57,61,Y,0.14,P,7,P,95,2,3,-54,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,8,21697,7,2,7,5,38,3.1,0.5,56,Y,0.67,P,7,P,94,2,5,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +9,9,21702,9,1,7,3,32,3.1,1.23,68,Y,1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +1,1,21716,1,2,5,2,20,3.1,-1.44,54,Y,-1.75,F,2,F,96,1,2,-52,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,2,467.89473,c 460-520,c 460-520,0.9710712,3.1 +9,6,21735,9,2,7,1,40,3.1,1.05,66,Y,0.28,P,7,P,94,1,,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +10,10,21739,10,1,7,3,44,3.1,1.91,66,Y,1.46,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +5,8,21770,6,2,7,3,36,3.1,0.03,65,Y,0.75,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,21807,,1,3,6,26,3.1,,51,Y,,P,7,P,94,1,2,-44,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,562.631568,d 520-580,d 520-580,0.9710712,3.1 +3,1,21809,3,2,7,3,30,3.1,-0.69,69,Y,-1.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +7,6,21811,7,1,7,3,37,3.1,0.51,68,Y,0.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +7,3,21812,7,2,2,1,36,3.1,0.52,67,Y,-0.56,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,21831,10,1,8,3,36,3.1,1.61,69,Y,1.91,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +1,1,21871,2,1,3,3,29,3.1,-1.29,66,Y,-1.4,P,2,P,96,1,2,-64,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +9,9,21890,9,2,7,1,40,3.1,1.06,67,Y,1.22,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,8,21898,7,1,7,3,42,3.1,0.36,67,Y,0.66,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,4,21914,4,1,7,3,36,3.1,-0.49,69,Y,-0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,3,21930,5,1,7,1,41,3.1,-0.22,69,Y,-0.62,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,8,21944,6,2,7,3,37,3.1,-0.01,67,Y,0.59,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,5,21967,5,1,7,3,29.3,3.1,-0.21,66,Y,-0.19,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,614.7368289,e 580-640,e 580-640,0.9710712,3.1 +6,2,21969,7,1,7,3,42,3.1,0.27,68,Y,-0.91,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +9,7,21979,9,2,7,3,32.5,3.1,0.93,68,Y,0.54,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +8,7,21989,8,1,7,3,33,3.1,0.61,69,Y,0.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,5,22026,5,2,7,1,37.5,3.1,-0.2,69,Y,-0.26,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,744.2105075,g 700+,g 700-760,0.9710712,3.1 +4,3,22030,5,2,4,1,36.5,3.1,-0.22,64,Y,-0.57,P,7,P,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.4210345,g 700+,g 700-760,0.9710712,3.1 +2,2,22046,3,2,7,2,35,3.1,-0.73,66,Y,-1.14,P,7,P,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,6,22074,8,2,7,3,39,3.1,0.66,68,Y,0.06,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,6,22135,5,2,7,3,39,3.1,-0.16,68,Y,0.15,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,2,22157,2,1,3,5,35,3.1,-0.98,67,Y,-1,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,10,22186,10,2,7,2,27,3.1,1.72,57,Y,2.28,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,578.421041,d 520-580,d 520-580,0.9710712,3.1 +1,1,22192,1,2,3,5,35,3.1,-2.69,65,Y,-2.49,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,9,22203,9,2,7,1,42,3.1,1.2,69,Y,1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,4,22208,5,2,7,2,31,3.1,-0.13,64,Y,-0.49,P,2,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +6,3,22212,6,2,7,3,38,3.1,0.07,68,Y,-0.83,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,3,22252,2,1,5,3,31.5,3.1,-1,69,Y,-0.71,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +4,3,22263,4,1,2,3,31.5,3.1,-0.4,68,Y,-0.87,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +6,9,22270,6,2,7,3,29,3.1,0.22,63,Y,1.17,P,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +10,10,22278,10,2,7,4,42,3.1,2.39,59,Y,2.06,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +10,9,22298,10,2,7,2,41,3.1,1.34,55,Y,0.92,P,7,P,94,1,1,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,9,22321,10,2,7,1,33,3.1,1.52,69,Y,1.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,6,22341,5,2,7,3,35.5,3.1,-0.08,68,Y,0.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.6315615,g 700+,g 700-760,0.9710712,3.1 +7,6,22344,7,2,7,1,36,3.1,0.49,66,Y,0.13,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,6,22346,6,1,7,3,36,3.1,0.12,69,Y,0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,8,22363,6,2,7,4,38,3.1,0.19,69,Y,0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,4,22397,4,2,7,3,37,3.1,-0.48,68,Y,-0.47,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,2,22403,4,2,7,3,34,3.1,-0.4,65,Y,-0.92,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,6,22408,5,1,7,4,39,3.1,-0.08,65,Y,0.09,P,7,P,95,2,2,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,6,22431,7,2,7,3,33,3.1,0.41,55,Y,0.07,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +,,22445,,1,7,5,44,3.1,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,846.842082,g 700+,i 820+,0.9710712,3.1 +4,5,22450,5,2,7,3,36,3.1,-0.21,68,Y,-0.17,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,22451,10,1,7,3,38,3.1,1.56,68,Y,1.41,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,4,22483,4,2,7,1,39,3.1,-0.31,56,Y,-0.31,P,2,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,4,22494,7,2,7,1,40,3.1,0.4,67,Y,-0.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +6,3,22501,6,2,7,5,36,3.1,0.2,66,Y,-0.57,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,22516,1,2,3,5,38,3.1,-2.12,69,Y,,F,7,P,96,1,,-62,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +7,8,22526,7,2,7,2,33,3.1,0.3,59,Y,0.61,P,7,P,94,1,5,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +9,8,22538,9,2,7,3,43,3.1,1.08,69,Y,0.71,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +5,3,22545,6,1,4,6,35,3.1,0.14,68,Y,-0.68,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,704.736825,g 700+,g 700-760,0.9710712,3.1 +7,5,22548,8,2,7,3,35,3.1,0.53,69,Y,-0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,3,22589,3,1,7,4,36.5,3.1,-0.53,66,Y,-0.7,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,728.4210345,g 700+,g 700-760,0.9710712,3.1 +3,5,22595,4,1,7,3,38,3.1,-0.48,69,Y,-0.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,5,22605,3,2,7,3,33,3.1,-0.77,67,Y,-0.22,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +9,8,22609,9,2,7,2,33,3.1,1.06,62,Y,0.62,P,2,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,22631,10,2,7,1,40,3.1,1.31,68,Y,1.53,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,4,22639,5,1,7,1,40,3.1,-0.18,66,Y,-0.27,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +6,8,22650,6,1,7,4,37.5,3.1,0.06,65,Y,0.57,P,7,P,95,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,744.2105075,g 700+,g 700-760,0.9710712,3.1 +8,9,22651,9,2,7,3,38,3.1,0.84,67,Y,0.97,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,4,22660,2,2,7,3,34.5,3.1,-0.95,61,Y,-0.4,F,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +7,9,22663,7,2,7,3,38,3.1,0.45,69,Y,0.99,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +7,7,22691,7,2,7,3,39,3.1,0.33,65,Y,0.54,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,5,22700,7,2,7,3,24.3,3.1,0.47,68,Y,-0.12,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,535.7894639,d 520-580,d 520-580,0.9710712,3.1 +7,9,22710,7,1,7,1,39,3.1,0.57,65,Y,0.88,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,4,22737,4,2,7,3,36,3.1,-0.34,69,Y,-0.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,6,22739,5,1,7,3,32,3.1,-0.13,70,Y,0.18,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +6,5,22767,6,1,7,4,42,3.1,0.2,65,Y,-0.11,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +10,9,22788,10,1,7,3,37,3.1,1.51,69,Y,1.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,2,22792,3,2,7,3,31,3.1,-0.57,59,Y,-1.06,F,7,P,95,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +3,2,22797,3,2,7,1,39,3.1,-0.55,64,Y,-0.97,F,2,F,96,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,8,22824,8,2,7,2,31,3.1,0.65,69,Y,0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +3,5,22852,4,1,7,3,29,3.1,-0.46,46,Y,-0.28,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +10,10,22893,10,1,7,3,32,3.1,1.38,69,Y,1.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,6,22908,4,2,7,1,35,3.1,-0.25,69,Y,0.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +8,9,22922,8,1,7,3,38,3.1,0.81,68,Y,1.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,2,22946,3,2,7,1,43,3.1,-0.64,69,Y,-0.9,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +8,9,22947,8,2,7,3,31,3.1,0.8,69,Y,1.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +,,22948,,2,7,2,35,3.1,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,5,22949,6,2,7,3,33,3.1,0.05,57,Y,-0.22,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,4,22961,3,2,7,1,42,3.1,-0.56,66,Y,-0.28,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +10,9,22962,10,2,7,3,39,3.1,1.66,69,Y,1.18,P,7,P,94,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +5,5,22972,5,2,7,1,46,3.1,-0.11,67,Y,-0.12,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,878.421028,g 700+,i 820+,0.9710712,3.1 +2,3,22983,2,1,7,5,40,3.1,-1.04,68,Y,-0.82,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,5,22991,4,1,7,2,33,3.1,-0.51,68,Y,-0.32,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +,,23002,,2,8,6,29,3.1,,67,Y,,P,7,P,94,1,3,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,1,609.999987,e 580-640,e 580-640,0.9710712,3.1 +4,7,23009,4,1,7,3,38,3.1,-0.26,68,Y,0.48,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,4,23014,6,1,7,1,32.5,3.1,0.06,63,Y,-0.32,P,2,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +2,1,23066,2,1,7,3,37,3.1,-0.99,66,Y,-1.61,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,1,23068,1,1,3,3,24,3.1,-1.55,68,Y,-1.76,F,7,F,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,531.052622,d 520-580,d 520-580,0.9710712,3.1 +7,8,23090,7,2,7,3,47,3.1,0.39,69,Y,0.66,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,894.210501,g 700+,i 820+,0.9710712,3.1 +9,8,23111,9,2,7,3,30.5,3.1,1.18,69,Y,0.83,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +6,6,23112,6,2,7,3,25.3,3.1,0.09,67,Y,0.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,551.5789369,d 520-580,d 520-580,0.9710712,3.1 +2,3,23129,3,1,6,3,37.5,3.1,-0.79,69,Y,-0.88,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,744.2105075,g 700+,g 700-760,0.9710712,3.1 +2,2,23132,2,1,7,3,39,3.1,-0.98,69,Y,-1.3,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,9,23208,7,1,7,3,34,3.1,0.39,68,Y,1.02,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +9,9,23215,9,2,7,5,39,3.1,1.03,67,Y,1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,23216,10,2,7,3,34,3.1,2.53,66,Y,2.41,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,5,23223,7,2,7,3,33,3.1,0.48,68,Y,-0.14,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,6,23226,7,1,7,3,35,3.1,0.44,69,Y,0.26,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,8,23277,10,2,7,2,35,3.1,1.84,61,Y,0.73,P,7,P,95,2,2,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,1,23288,3,2,7,4,41,3.1,-0.71,67,Y,-1.94,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,8,23298,4,2,2,4,41,3.1,-0.31,69,Y,0.54,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +1,2,23305,1,2,7,3,37,3.1,-1.35,69,Y,-1.2,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,9,23328,9,1,7,2,31,3.1,1.08,49,Y,0.97,P,2,P,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +4,2,23341,4,1,7,3,32.5,3.1,-0.36,69,Y,-1,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +8,7,23347,8,1,7,3,37,3.1,0.57,68,Y,0.3,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,10,23393,8,1,7,3,31.5,3.1,0.79,51,Y,1.49,P,7,P,95,2,4,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +1,1,23409,1,1,3,1,28,3.1,-1.58,69,Y,-2.18,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +1,1,23413,2,2,7,2,29.5,3.1,-1.23,59,Y,-1.45,P,2,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +3,7,23434,3,1,7,3,39,3.1,-0.55,67,Y,0.29,P,2,P,95,1,2,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,9,23435,10,1,7,3,31.5,3.1,1.31,65,Y,1.16,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +3,5,23440,3,2,7,1,44,3.1,-0.67,66,Y,-0.17,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +9,8,23445,9,1,7,3,35,3.1,1.09,66,Y,0.82,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,1,23449,2,1,7,3,29.5,3.1,-1.28,66,Y,-1.35,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +6,5,23450,6,2,7,1,37,3.1,0.09,65,Y,0.01,P,2,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,7,23459,6,1,7,3,36,3.1,0,58,Y,0.5,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,3,23461,4,1,7,4,34,3.1,-0.39,69,Y,-0.64,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,8,23464,7,1,7,3,36,3.1,0.27,52,Y,0.77,P,7,P,94,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,6,23473,5,2,7,4,39,3.1,-0.01,68,Y,0.21,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,6,23482,10,1,7,4,40,3.1,1.94,61,Y,0.21,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,1,23486,1,2,7,3,35,3.1,-1.45,,Y,-1.48,P,1,P,95,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,5,23498,5,2,7,3,41,3.1,-0.14,67,Y,-0.05,P,1,P,96,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +1,1,23516,1,1,7,1,35,3.1,-1.38,68,Y,-1.48,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,9,23517,9,1,7,3,42,3.1,1.13,57,Y,1.2,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +,,23528,,1,2,3,35,3.1,,67,Y,,P,7,P,95,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,2,23541,1,1,6,3,32,3.1,-1.38,67,Y,-0.93,P,7,P,94,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +10,10,23545,10,2,7,2,35,3.1,1.67,68,Y,1.65,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,7,23553,5,2,7,1,42,3.1,0.01,58,Y,0.39,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +7,6,23591,7,2,4,6,22.5,3.1,0.45,60,Y,0.06,P,7,P,94,1,3,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,507.3684125,c 460-520,c 460-520,0.9710712,3.1 +5,5,23616,5,1,7,4,37,3.1,-0.07,65,Y,-0.19,P,2,P,95,2,3,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,2,23632,1,2,7,1,38.5,3.1,-1.34,65,Y,-1,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,759.9999805,g 700+,g 700-760,0.9710712,3.1 +7,7,23653,7,2,7,1,43,3.1,0.49,67,Y,0.42,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +,,23660,9,2,7,3,40,3.1,1.03,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,6,23667,7,2,7,3,31,3.1,0.31,69,Y,0.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,7,23670,7,2,7,4,43,3.1,0.47,56,Y,0.29,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +8,8,23672,8,2,7,2,37,3.1,0.63,64,Y,0.69,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,736.315771,g 700+,g 700-760,0.9710712,3.1 +9,9,23677,9,2,7,3,36,3.1,0.99,69,Y,1.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,3,23678,4,2,7,4,35,3.1,-0.4,66,Y,-0.59,F,2,F,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,10,23689,10,2,7,3,45,3.1,1.29,69,Y,1.39,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +2,2,23692,2,2,6,1,40,3.1,-1.03,68,Y,-1.07,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,2,23697,2,1,3,3,28,3.1,-1.13,67,Y,-1.09,P,2,P,95,1,2,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +5,7,23704,5,2,7,4,37,3.1,-0.1,67,Y,0.52,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,2,23733,4,1,7,3,24.3,3.1,-0.36,68,Y,-1.16,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,535.7894639,d 520-580,d 520-580,0.9710712,3.1 +5,3,23738,5,2,6,3,26.5,3.1,-0.07,68,Y,-0.64,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,570.5263045,d 520-580,d 520-580,0.9710712,3.1 +2,2,23746,2,2,7,4,44,3.1,-1.03,67,Y,-1.29,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,846.842082,g 700+,i 820+,0.9710712,3.1 +4,6,23766,5,2,7,3,34.5,3.1,-0.19,69,Y,0.01,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +8,9,23800,8,2,7,1,44,3.1,0.77,68,Y,1.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +6,4,23811,6,1,7,3,33,3.1,0.11,69,Y,-0.45,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,2,23815,5,2,7,3,34,3.1,-0.1,69,Y,-1.2,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,3,23875,4,2,7,3,28,3.1,-0.29,68,Y,-0.84,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +3,4,23888,4,1,3,3,34,3.1,-0.45,65,Y,-0.31,P,7,P,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,23897,1,2,7,2,37,3.1,-1.46,68,Y,-1.75,F,2,F,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,7,23900,6,2,7,4,41,3.1,0.23,69,Y,0.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,5,23919,7,2,7,1,32,3.1,0.49,68,Y,-0.12,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,657.368406,f 640-700,f 640-700,0.9710712,3.1 +8,7,23937,8,2,7,3,38,3.1,0.66,69,Y,0.36,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +7,9,23940,7,2,7,5,41,3.1,0.57,64,Y,0.91,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,799.473663,g 700+,h 760-820,0.9710712,3.1 +10,9,23947,10,1,7,2,36,3.1,1.37,57,Y,1.14,P,2,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,6,23950,3,2,7,4,46,3.1,-0.66,58,Y,0.1,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,878.421028,g 700+,i 820+,0.9710712,3.1 +,,23963,,2,7,1,39,3.1,,65,Y,0.16,P,2,P,95,2,3,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,5,23972,4,1,7,4,32,3.1,-0.32,67,Y,-0.11,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,657.368406,f 640-700,f 640-700,0.9710712,3.1 +6,2,23973,6,2,2,3,37.7,3.1,0.1,68,Y,-0.94,F,7,P,96,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,747.3684021,g 700+,g 700-760,0.9710712,3.1 +2,1,23983,3,2,7,2,31,3.1,-0.75,68,Y,-1.26,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,8,23991,7,2,7,4,38,3.1,0.32,63,Y,0.78,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,8,24000,5,1,7,1,38,3.1,-0.15,68,Y,0.62,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +7,7,24008,7,2,7,3,35.5,3.1,0.46,67,Y,0.35,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.6315615,g 700+,g 700-760,0.9710712,3.1 +2,6,24022,3,1,7,2,27.5,3.1,-0.79,70,Y,-0.05,P,2,P,95,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,586.3157775,e 580-640,e 580-640,0.9710712,3.1 +,,24047,,1,8,5,39,3.1,,66,Y,,P,7,P,94,1,4,-59,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,2,24073,2,1,6,5,37.5,3.1,-1.1,67,Y,-1.23,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,744.2105075,g 700+,g 700-760,0.9710712,3.1 +1,1,24081,1,1,7,3,33,3.1,-1.72,69,Y,-2,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,6,24150,5,1,7,1,36,3.1,-0.15,42,Y,0.18,P,7,P,95,2,2,-35,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +3,2,24159,3,1,7,1,27,3.1,-0.65,68,Y,-0.97,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,578.421041,d 520-580,d 520-580,0.9710712,3.1 +8,8,24181,9,1,7,3,35,3.1,0.85,64,Y,0.81,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,2,24195,2,2,7,4,29,3.1,-1.02,63,Y,-0.96,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,609.999987,e 580-640,e 580-640,0.9710712,3.1 +7,8,24200,7,1,7,3,36,3.1,0.39,68,Y,0.6,P,6,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,2,24240,4,2,7,3,36,3.1,-0.37,67,Y,-1.19,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +10,10,24241,10,1,7,1,41,3.1,2.24,,Y,1.7,P,7,P,94,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,6,24243,9,2,7,3,39,3.1,0.91,69,Y,0.22,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,24255,10,2,7,4,45,3.1,1.58,60,Y,1.75,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +8,9,24281,9,2,7,2,28,3.1,0.83,68,Y,0.89,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,594.210514,e 580-640,e 580-640,0.9710712,3.1 +6,5,24285,6,2,7,3,38,3.1,0.23,69,Y,-0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +8,7,24288,8,2,7,3,32,3.1,0.58,68,Y,0.31,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +2,3,24289,2,2,7,3,37,3.1,-0.86,69,Y,-0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,3,24307,3,1,7,1,38,3.1,-0.67,69,Y,-0.72,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,5,24328,4,1,7,4,40,3.1,-0.36,62,Y,-0.07,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,4,24338,5,1,3,6,21,3.1,-0.15,68,Y,-0.36,F,7,F,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,483.684203,c 460-520,c 460-520,0.9710712,3.1 +2,2,24342,3,1,7,4,36,3.1,-0.81,58,Y,-1.26,F,7,P,96,2,3,-51,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +2,3,24390,2,2,7,3,40,3.1,-0.88,69,Y,-0.88,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +9,9,24420,9,2,7,3,45,3.1,0.87,66,Y,1.14,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +10,9,24449,10,1,7,4,39,3.1,2.04,59,Y,1.23,P,7,P,95,2,4,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,8,24454,9,1,7,1,39,3.1,0.89,70,Y,0.82,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +,,24468,,2,7,4,34,3.1,,56,Y,,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +4,6,24472,5,2,7,3,34,3.1,-0.18,68,Y,0.15,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,4,24493,5,2,7,1,44,3.1,-0.11,69,Y,-0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +10,10,24497,10,1,7,1,40,3.1,1.86,48,Y,1.66,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,8,24507,8,1,6,3,28,3.1,0.82,49,Y,0.84,P,2,P,96,2,3,-47,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +2,2,24529,3,2,7,3,34,3.1,-0.74,70,Y,-1.06,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,7,24532,6,1,7,1,40,3.1,0.26,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,7,24543,8,2,7,1,40,3.1,0.62,69,Y,0.49,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +7,7,24578,7,1,7,4,41,3.1,0.3,69,Y,0.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,2,24590,5,2,7,1,47,3.1,-0.04,68,Y,-0.88,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,894.210501,g 700+,i 820+,0.9710712,3.1 +8,5,24595,8,1,7,3,33,3.1,0.61,67,Y,-0.23,F,2,F,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +9,10,24626,9,2,7,3,33,3.1,1.21,58,Y,2.11,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,7,24631,7,2,7,1,39,3.1,0.48,65,Y,0.53,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,9,24648,8,2,7,3,38,3.1,0.6,68,Y,1.12,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,4,24650,4,2,7,3,45,3.1,-0.46,69,Y,-0.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +4,4,24667,4,1,3,1,30,3.1,-0.4,69,Y,-0.46,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,625.78946,e 580-640,e 580-640,0.9710712,3.1 +,,24672,,1,7,4,40,3.1,,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +1,1,24691,2,2,7,3,41,3.1,-1.17,67,Y,-1.33,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,6,24702,6,2,7,2,44,3.1,0,65,Y,0.13,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,846.842082,g 700+,i 820+,0.9710712,3.1 +9,9,24706,9,1,7,3,33.5,3.1,1.23,69,Y,1.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +2,5,24715,2,1,7,2,33,3.1,-0.99,68,Y,-0.28,F,7,F,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,4,24722,9,2,7,1,34,3.1,0.88,68,Y,-0.41,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,5,24747,6,1,7,3,31,3.1,0.12,69,Y,-0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +4,6,24758,5,2,7,3,33,3.1,-0.2,69,Y,0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +9,7,24772,9,2,8,3,32,3.1,0.96,66,Y,0.46,P,7,P,94,1,1,-59,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +6,5,24787,6,1,7,3,36,3.1,0.24,67,Y,-0.08,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,9,24791,9,1,7,3,41,3.1,1.02,62,Y,1.01,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,8,24794,7,2,7,5,42,3.1,0.47,67,Y,0.68,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +9,9,24805,9,1,7,3,30,3.1,0.97,63,Y,0.93,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,625.78946,e 580-640,e 580-640,0.9710712,3.1 +4,4,24826,4,2,7,1,33,3.1,-0.37,68,Y,-0.3,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +9,10,24837,9,2,7,3,33.5,3.1,1.07,69,Y,1.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,681.0526155,f 640-700,f 640-700,0.9710712,3.1 +2,2,24859,2,2,7,1,36,3.1,-0.87,60,Y,-1.07,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +,,24864,5,2,7,3,39,3.1,-0.21,65,X,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +7,6,24867,7,2,7,3,40,3.1,0.35,68,Y,0.25,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,7,24868,4,1,7,3,29,3.1,-0.25,66,Y,0.36,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +10,9,24885,10,1,7,1,39,3.1,1.39,69,Y,0.98,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +8,8,24887,8,1,7,4,41,3.1,0.79,68,Y,0.86,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,5,24897,6,2,7,1,43,3.1,0.19,69,Y,-0.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +5,5,24931,6,1,7,3,31,3.1,0.05,66,Y,-0.06,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +,,24945,3,1,7,3,33,3.1,-0.78,68,X,,F,7,P,96,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +6,3,24964,6,2,7,4,32.5,3.1,0.16,68,Y,-0.56,F,2,F,95,2,4,-66,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +1,1,24982,1,2,7,3,37,3.1,-1.79,59,Y,-1.65,F,7,F,95,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,2,24983,1,2,7,2,32,3.1,-1.96,64,Y,-1.18,F,7,F,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +2,3,24992,3,1,7,4,40,3.1,-0.8,39,Y,-0.79,P,7,P,94,1,4,-32,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +2,2,25061,2,1,3,3,23.5,3.1,-1.08,62,Y,-1.18,P,2,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,523.1578855,d 520-580,d 520-580,0.9710712,3.1 +10,9,25087,10,2,7,3,39,3.1,1.39,64,Y,1.2,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,3,25099,6,1,7,3,41,3.1,0.06,69,Y,-0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +1,1,25106,1,2,3,1,30,3.1,-1.39,59,Y,-1.98,P,7,P,94,1,2,-52,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,625.78946,e 580-640,e 580-640,0.9710712,3.1 +8,8,25141,8,1,7,2,33,3.1,0.81,69,Y,0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +7,6,25143,8,2,2,3,34,3.1,0.56,59,Y,0.16,F,7,F,95,2,3,-52,male,1,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,7,25145,8,2,7,5,38,3.1,0.72,68,Y,0.36,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,2,25151,1,2,7,3,41,3.1,-1.35,66,Y,-0.98,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,7,25154,6,2,4,1,32,3.1,0.19,68,Y,0.34,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,2,25194,4,1,7,3,29.5,3.1,-0.3,69,Y,-1.21,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,617.8947235,e 580-640,e 580-640,0.9710712,3.1 +1,1,25197,1,1,7,3,35,3.1,-1.46,69,Y,-1.67,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,1,25250,1,1,3,1,34,3.1,-1.85,69,Y,-1.61,F,2,P,95,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,6,25253,8,2,7,1,42,3.1,0.62,68,Y,0.22,F,,F,,1,3,,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +5,5,25255,5,2,7,2,30.5,3.1,-0.18,66,Y,-0.14,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +,,25267,2,2,3,5,34,3.1,-1.23,69,Y,,P,7,P,94,1,5,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,688.947352,f 640-700,f 640-700,0.9710712,3.1 +5,6,25278,5,2,7,3,40,3.1,-0.06,69,Y,-0.02,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +5,6,25292,6,2,7,2,34.5,3.1,0,61,Y,0.15,P,7,P,94,1,,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +3,3,25296,4,2,7,1,37,3.1,-0.48,68,Y,-0.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,4,25318,3,2,7,3,34,3.1,-0.6,68,Y,-0.45,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +8,8,25320,8,2,7,3,33,3.1,0.78,67,Y,0.71,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +5,8,25322,6,2,7,3,42,3.1,0.04,66,Y,0.86,P,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +2,1,25326,2,1,6,3,31,3.1,-1.01,62,Y,-1.66,P,2,P,96,2,2,-60,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +8,9,25335,8,1,7,1,34,3.1,0.83,67,Y,0.95,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,25348,1,1,7,1,38,3.1,-1.55,69,Y,-1.44,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,3,25352,2,1,7,1,35.5,3.1,-1.1,64,Y,-0.82,P,2,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,712.6315615,g 700+,g 700-760,0.9710712,3.1 +10,10,25360,10,1,4,1,35,3.1,1.77,58,Y,2.03,P,7,P,94,1,2,-51,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,9,25373,9,2,7,3,40,3.1,1.17,66,Y,1,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,3,25380,3,1,7,3,28.5,3.1,-0.6,68,Y,-0.77,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,602.1052505,e 580-640,e 580-640,0.9710712,3.1 +2,3,25403,2,1,7,1,28,3.1,-0.91,70,Y,-0.75,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,594.210514,e 580-640,e 580-640,0.9710712,3.1 +1,2,25407,2,1,7,3,40,3.1,-1.23,69,Y,-1.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +6,6,25422,6,2,7,2,36,3.1,0.15,68,Y,-0.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,720.526298,g 700+,g 700-760,0.9710712,3.1 +8,9,25425,8,1,7,1,42,3.1,0.68,54,Y,1.25,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +1,1,25446,1,1,4,4,24,3.1,-1.75,66,Y,-1.99,F,7,F,94,1,1,-59,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,531.052622,d 520-580,d 520-580,0.9710712,3.1 +5,5,25464,6,1,3,2,29,3.1,-0.02,68,Y,-0.22,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +,,25479,,2,7,5,45,3.1,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,862.631555,g 700+,i 820+,0.9710712,3.1 +8,3,25496,8,1,7,2,28.5,3.1,0.7,67,Y,-0.6,P,2,P,96,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,602.1052505,e 580-640,e 580-640,0.9710712,3.1 +3,2,25497,3,2,7,3,38,3.1,-0.63,68,Y,-1.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +5,5,25556,6,1,7,3,34,3.1,-0.01,66,Y,-0.08,P,2,P,95,2,5,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +6,6,25573,6,2,7,1,36.5,3.1,0.09,68,Y,0.02,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,728.4210345,g 700+,g 700-760,0.9710712,3.1 +1,1,25576,1,2,6,4,31,3.1,-1.31,51,Y,-1.6,F,7,P,95,1,2,-44,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,641.578933,f 640-700,f 640-700,0.9710712,3.1 +3,3,25584,3,2,7,3,34,3.1,-0.57,69,Y,-0.76,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +1,1,25585,1,2,1,5,40,3.1,-1.85,67,Y,-1.38,P,7,P,94,1,5,-60,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,6,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,5,25586,8,2,7,3,33,3.1,0.61,69,Y,-0.17,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,3,25624,3,2,7,1,37,3.1,-0.65,67,Y,-0.66,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,5,25641,8,2,7,3,31,3.1,0.62,69,Y,-0.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,1,25674,1,1,7,1,42.5,3.1,-1.48,64,Y,-1.47,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,823.1578725,g 700+,i 820+,0.9710712,3.1 +5,8,25676,5,1,7,4,32.5,3.1,0,69,Y,0.6,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +4,2,25682,4,2,8,4,26,3.1,-0.44,64,Y,-1.26,F,7,P,95,1,2,-57,male,0,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,562.631568,d 520-580,d 520-580,0.9710712,3.1 +8,8,25740,8,1,7,4,45,3.1,0.66,69,Y,0.54,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +7,6,25755,7,1,7,3,38,3.1,0.32,60,Y,0.19,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,1,25757,3,2,7,3,30.5,3.1,-0.53,69,Y,-1.36,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,633.6841965,e 580-640,e 580-640,0.9710712,3.1 +,,25808,,1,7,6,28,3.1,,51,Y,,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,594.210514,e 580-640,e 580-640,0.9710712,3.1 +7,7,25820,7,1,7,1,43,3.1,0.42,69,Y,0.35,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +8,8,25824,8,2,7,1,34,3.1,0.69,68,Y,0.74,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +2,1,25830,2,1,7,3,39,3.1,-1.09,70,Y,-1.67,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +4,5,25868,4,1,7,1,33.7,3.1,-0.33,68,Y,-0.11,P,7,P,95,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,684.2105101,f 640-700,f 640-700,0.9710712,3.1 +7,7,25911,7,2,7,4,36,3.1,0.38,67,Y,0.52,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +2,3,25919,2,2,7,4,28,3.1,-1.02,69,Y,-0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,594.210514,e 580-640,e 580-640,0.9710712,3.1 +7,7,25922,8,2,7,2,32,3.1,0.55,69,Y,0.48,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +2,2,25975,2,2,7,3,28,3.1,-0.97,66,Y,-1.25,F,6,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,594.210514,e 580-640,e 580-640,0.9710712,3.1 +8,9,25984,8,2,7,3,38,3.1,0.67,64,Y,1.22,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,10,25998,10,1,7,3,38,3.1,1.84,58,Y,2.79,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +1,1,26002,1,2,7,3,37,3.1,-2.14,68,Y,-1.65,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +5,7,26008,5,1,7,3,39,3.1,-0.1,69,Y,0.48,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,10,26012,10,2,7,3,31,3.1,1.84,57,Y,1.65,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,1,26015,2,2,7,3,34,3.1,-1.26,63,Y,-1.45,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,26040,10,2,7,3,34,3.1,1.73,61,Y,2.15,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +10,10,26043,10,1,7,3,43,3.1,2.08,63,Y,2.34,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,831.052609,g 700+,i 820+,0.9710712,3.1 +1,3,26053,1,1,3,3,22,3.1,-1.63,69,Y,-0.74,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,499.473676,c 460-520,c 460-520,0.9710712,3.1 +6,7,26055,7,2,7,4,43,3.1,0.27,69,Y,0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +,,26071,8,1,7,3,34.5,3.1,0.53,67,Y,,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +4,4,26074,4,1,7,3,45,3.1,-0.29,63,Y,-0.53,P,2,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,862.631555,g 700+,i 820+,0.9710712,3.1 +3,5,26080,3,1,7,1,41,3.1,-0.56,62,Y,-0.03,P,7,P,95,2,2,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,2,26081,3,2,7,1,43,3.1,-0.57,69,Y,-0.89,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +9,9,26082,9,1,7,1,36,3.1,0.95,66,Y,1.02,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +4,5,26086,4,1,7,3,39,3.1,-0.25,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +1,1,26091,1,2,4,1,30,3.1,-1.74,69,Y,-1.71,F,7,P,95,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,625.78946,e 580-640,e 580-640,0.9710712,3.1 +5,5,26093,5,2,7,1,35,3.1,-0.05,67,Y,-0.09,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +2,3,26096,3,1,7,3,37,3.1,-0.72,69,Y,-0.79,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,8,26109,3,2,7,3,39,3.1,-0.63,69,Y,0.83,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +10,8,26111,10,1,7,3,40,3.1,1.44,52,Y,0.81,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,1,26119,4,1,7,3,34.5,3.1,-0.46,61,Y,-1.75,F,7,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,696.8420885,f 640-700,f 640-700,0.9710712,3.1 +2,3,26133,2,2,7,2,29,3.1,-1.02,66,Y,-0.81,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,609.999987,e 580-640,e 580-640,0.9710712,3.1 +7,7,26136,7,2,7,3,31.5,3.1,0.36,67,Y,0.4,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +4,4,26141,4,2,6,4,37,3.1,-0.43,59,Y,-0.49,P,7,P,94,1,1,-52,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,3,26151,3,1,2,3,25,3.1,-0.67,59,Y,-0.73,P,7,P,95,2,3,-52,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,546.842095,d 520-580,d 520-580,0.9710712,3.1 +6,6,26153,6,2,7,4,45,3.1,0.12,63,Y,0.04,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,862.631555,g 700+,i 820+,0.9710712,3.1 +3,3,26155,4,2,7,1,36,3.1,-0.47,66,Y,-0.54,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +7,8,26159,7,1,7,3,38,3.1,0.36,61,Y,0.6,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +10,10,26240,10,2,7,3,37,3.1,2,69,Y,2.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +6,8,26243,6,1,7,4,35,3.1,0.12,67,Y,0.62,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +,,26244,,1,2,5,32,3.1,,64,Y,,P,7,P,94,1,4,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,4,26246,4,1,7,1,44,3.1,-0.37,54,Y,-0.44,F,7,P,95,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,846.842082,g 700+,i 820+,0.9710712,3.1 +7,8,26248,8,2,7,1,42,3.1,0.59,69,Y,0.82,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,2,26256,3,1,2,4,35,3.1,-0.69,69,Y,-1.29,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +9,10,26259,9,1,7,3,35,3.1,0.99,68,Y,1.37,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,5,26267,3,2,7,4,36,3.1,-0.54,52,Y,-0.09,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,720.526298,g 700+,g 700-760,0.9710712,3.1 +9,8,26276,9,2,7,1,36,3.1,1.09,65,Y,0.83,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,2,26285,5,2,7,3,40,3.1,-0.11,69,Y,-0.95,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +10,10,26308,10,1,7,3,34,3.1,1.73,65,Y,1.61,P,2,P,95,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,688.947352,f 640-700,f 640-700,0.9710712,3.1 +,,26311,7,1,7,3,41,3.1,0.35,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +9,5,26335,9,1,2,4,42,3.1,1.08,68,Y,0.01,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,815.263136,g 700+,h 760-820,0.9710712,3.1 +3,3,26352,3,1,7,3,35,3.1,-0.65,60,Y,-0.81,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,1,26395,1,2,7,3,40,3.1,-1.58,70,Y,-2.05,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +5,2,26405,5,2,7,4,38,3.1,-0.13,68,Y,-0.91,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,752.105244,g 700+,g 700-760,0.9710712,3.1 +2,2,26434,3,1,7,3,33,3.1,-0.75,55,Y,-1.05,F,2,F,95,2,5,-53,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +1,2,26443,2,1,7,3,36.5,3.1,-1.23,54,Y,-1.16,F,7,F,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,728.4210345,g 700+,g 700-760,0.9710712,3.1 +5,3,26446,6,1,7,3,32,3.1,0.03,59,Y,-0.66,P,2,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +7,6,26456,7,1,7,2,33,3.1,0.34,63,Y,0.14,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,10,26477,10,2,7,1,47,3.1,2.24,60,Y,1.86,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,894.210501,g 700+,i 820+,0.9710712,3.1 +9,8,26485,9,2,7,3,31,3.1,0.93,68,Y,0.73,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +4,2,26513,4,2,7,4,40,3.1,-0.37,69,Y,-0.98,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,7,26530,8,2,7,1,37,3.1,0.63,69,Y,0.55,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +1,2,26531,1,2,7,5,44,3.1,-1.56,69,Y,-1.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,846.842082,g 700+,i 820+,0.9710712,3.1 +3,2,26534,3,2,7,3,35.5,3.1,-0.61,59,Y,-0.92,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,712.6315615,g 700+,g 700-760,0.9710712,3.1 +10,10,26537,10,2,7,3,41,3.1,1.53,60,Y,1.33,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +3,4,26539,3,2,7,3,41,3.1,-0.59,69,Y,-0.45,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +,,26564,7,1,7,4,30.7,3.1,0.48,67,Y,,P,7,P,95,2,2,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,636.8420911,e 580-640,e 580-640,0.9710712,3.1 +9,10,26570,9,2,7,3,39,3.1,1.25,69,Y,1.39,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,3,26591,2,1,7,3,31,3.1,-0.89,69,Y,-0.8,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +1,1,26592,1,1,6,3,31,3.1,-1.75,69,Y,-1.43,F,7,P,95,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,6,26598,7,2,7,1,35,3.1,0.39,66,Y,0.06,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,4,26617,5,1,7,2,30,3.1,-0.1,70,Y,-0.34,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,625.78946,e 580-640,e 580-640,0.9710712,3.1 +9,9,26647,9,2,7,4,43,3.1,1.15,46,Y,0.96,P,7,P,95,1,3,-39,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,831.052609,g 700+,i 820+,0.9710712,3.1 +1,2,26652,2,2,7,1,35,3.1,-1.17,63,Y,-1.13,F,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +,,26662,,2,2,1,36,3.1,,69,Y,,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +6,9,26665,6,1,7,5,35,3.1,0.2,67,Y,0.87,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,704.736825,g 700+,g 700-760,0.9710712,3.1 +7,7,26686,7,2,7,4,35,3.1,0.28,66,Y,0.26,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +10,10,26691,10,1,7,3,32,3.1,2.02,68,Y,1.84,P,,P,,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +9,8,26709,9,2,7,3,31,3.1,1.18,66,Y,0.6,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +7,8,26725,7,2,7,3,32,3.1,0.37,68,Y,0.57,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.368406,f 640-700,f 640-700,0.9710712,3.1 +,,26727,,1,7,5,39,3.1,,64,Y,,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,2,26744,2,1,7,5,36,3.1,-1.04,59,Y,-0.87,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,8,26750,5,1,7,4,35,3.1,-0.03,69,Y,0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +3,5,26786,3,2,7,4,34,3.1,-0.54,62,Y,-0.24,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,5,26802,7,2,7,2,32,3.1,0.51,69,Y,-0.22,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +7,7,26847,8,2,7,3,35,3.1,0.56,69,Y,0.34,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +6,3,26848,6,2,7,3,37,3.1,0.19,67,Y,-0.62,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +4,2,26855,4,2,7,1,39,3.1,-0.38,69,Y,-1.23,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +9,7,26863,9,2,7,4,41,3.1,0.92,68,Y,0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,799.473663,g 700+,h 760-820,0.9710712,3.1 +7,9,26868,7,2,7,2,28,3.1,0.49,68,Y,0.94,P,2,P,96,2,3,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,594.210514,e 580-640,e 580-640,0.9710712,3.1 +,,26870,,2,7,1,41,3.1,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +2,2,26874,2,1,4,1,29.7,3.1,-0.85,68,Y,-1.23,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,621.0526181,e 580-640,e 580-640,0.9710712,3.1 +7,6,26875,7,2,7,3,40,3.1,0.5,69,Y,0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,783.68419,g 700+,h 760-820,0.9710712,3.1 +8,8,26882,8,2,7,1,33,3.1,0.68,67,Y,0.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,673.157879,f 640-700,f 640-700,0.9710712,3.1 +10,9,26909,10,2,2,1,32.5,3.1,1.46,68,Y,0.91,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +1,4,26918,1,2,7,3,42,3.1,-1.39,66,Y,-0.38,P,7,P,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,815.263136,g 700+,h 760-820,0.9710712,3.1 +2,3,26928,3,1,7,2,32,3.1,-0.74,69,Y,-0.62,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.368406,f 640-700,f 640-700,0.9710712,3.1 +4,4,26955,4,2,7,1,39,3.1,-0.41,,Y,-0.32,P,2,P,95,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,2,26962,2,2,7,1,43,3.1,-1.01,68,Y,-1.28,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +7,5,26982,7,1,7,1,40,3.1,0.45,69,Y,-0.23,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,783.68419,g 700+,h 760-820,0.9710712,3.1 +3,3,27020,4,2,7,3,31,3.1,-0.44,68,Y,-0.82,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,641.578933,f 640-700,f 640-700,0.9710712,3.1 +,,27030,,2,7,1,38,3.1,,60,Y,0.09,F,2,F,96,2,2,-58,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,752.105244,g 700+,g 700-760,0.9710712,3.1 +3,5,27045,4,1,7,3,37,3.1,-0.49,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,8,27075,9,1,7,3,41,3.1,0.86,54,Y,0.55,P,7,P,95,1,1,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,799.473663,g 700+,h 760-820,0.9710712,3.1 +6,8,27085,7,2,7,2,31,3.1,0.27,68,Y,0.55,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +8,9,27089,9,1,7,4,47,3.1,0.86,64,Y,0.88,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,894.210501,g 700+,i 820+,0.9710712,3.1 +7,7,27093,7,1,7,3,38,3.1,0.51,69,Y,0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,752.105244,g 700+,g 700-760,0.9710712,3.1 +4,3,27103,4,1,7,3,35,3.1,-0.28,58,Y,-0.62,P,2,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,704.736825,g 700+,g 700-760,0.9710712,3.1 +5,6,27111,5,2,7,4,35,3.1,-0.1,65,Y,0.17,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,2,27144,1,1,7,3,39,3.1,-1.64,69,Y,-1.3,F,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,7,27155,6,2,7,1,43,3.1,0.19,62,Y,0.55,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,831.052609,g 700+,i 820+,0.9710712,3.1 +,,27176,,2,7,4,40,3.1,,51,Y,,F,7,P,96,2,2,-44,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +5,3,27181,5,1,7,3,31.5,3.1,-0.02,63,Y,-0.63,F,7,F,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +7,7,27192,7,2,7,4,40,3.1,0.35,69,Y,0.32,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,3,27194,4,2,7,2,31,3.1,-0.32,68,Y,-0.81,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,641.578933,f 640-700,f 640-700,0.9710712,3.1 +3,3,27216,3,1,7,1,41,3.1,-0.68,67,Y,-0.85,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +4,3,27231,4,1,7,1,37,3.1,-0.37,69,Y,-0.69,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,736.315771,g 700+,g 700-760,0.9710712,3.1 +8,8,27249,8,2,7,1,34,3.1,0.71,67,Y,0.85,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,688.947352,f 640-700,f 640-700,0.9710712,3.1 +7,9,27253,7,1,7,4,40,3.1,0.51,64,Y,1.13,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +10,10,27255,10,1,7,1,41,3.1,1.66,60,Y,1.9,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.473663,g 700+,h 760-820,0.9710712,3.1 +5,7,27283,5,2,3,4,39,3.1,-0.02,65,Y,0.3,P,7,P,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,767.894717,g 700+,h 760-820,0.9710712,3.1 +2,2,27313,3,2,3,1,27,3.1,-0.75,65,Y,-1.06,F,2,F,96,1,1,-63,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,578.421041,d 520-580,d 520-580,0.9710712,3.1 +8,6,27315,8,2,7,2,33,3.1,0.61,69,Y,0.11,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,673.157879,f 640-700,f 640-700,0.9710712,3.1 +4,2,27333,4,1,7,5,36,3.1,-0.43,67,Y,-1.03,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,6,27337,5,2,7,5,42,3.1,-0.14,67,Y,0.11,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,815.263136,g 700+,h 760-820,0.9710712,3.1 +9,10,27357,9,1,7,4,40,3.1,1.24,62,Y,1.31,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,783.68419,g 700+,h 760-820,0.9710712,3.1 +4,4,27362,4,1,7,4,38.5,3.1,-0.45,66,Y,-0.29,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,759.9999805,g 700+,g 700-760,0.9710712,3.1 +5,5,27365,5,2,7,5,44,3.1,0.05,69,Y,-0.11,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,846.842082,g 700+,i 820+,0.9710712,3.1 +,,27371,,1,7,3,37,3.1,,63,Y,,P,7,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,736.315771,g 700+,g 700-760,0.9710712,3.1 +3,5,27385,4,2,7,3,29,3.1,-0.44,68,Y,-0.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,609.999987,e 580-640,e 580-640,0.9710712,3.1 +3,3,27387,3,2,7,1,36,3.1,-0.61,69,Y,-0.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,720.526298,g 700+,g 700-760,0.9710712,3.1 +5,6,27389,6,1,7,1,35,3.1,0.07,69,Y,0.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,704.736825,g 700+,g 700-760,0.9710712,3.1 +1,3,27404,2,1,1,3,32.5,3.1,-1.25,69,Y,-0.81,P,7,P,94,1,3,-62,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,665.2631425,f 640-700,f 640-700,0.9710712,3.1 +3,5,27419,4,2,7,3,44,3.1,-0.43,67,Y,-0.23,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,846.842082,g 700+,i 820+,0.9710712,3.1 +3,5,27429,3,2,7,1,39.5,3.1,-0.53,68,Y,-0.24,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,775.7894535,g 700+,h 760-820,0.9710712,3.1 +4,3,27430,4,2,7,1,39,3.1,-0.38,59,Y,-0.74,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,767.894717,g 700+,h 760-820,0.9710712,3.1 +6,6,27441,6,2,7,4,33,3.1,0.17,67,Y,0.17,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,673.157879,f 640-700,f 640-700,0.9710712,3.1 +3,2,27470,3,2,7,3,31.5,3.1,-0.65,68,Y,-0.93,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,649.4736695,f 640-700,f 640-700,0.9710712,3.1 +1,1,27475,1,2,3,3,33,3.1,-1.92,69,Y,-1.5,F,7,F,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,673.157879,f 640-700,f 640-700,0.9710712,3.1 +8,5,37,8,2,7,1,45,3,0.64,68,Y,-0.1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +6,7,50,6,1,7,3,38,3,0.14,68,Y,0.53,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +4,4,78,4,1,8,4,38,3,-0.45,67,Y,-0.27,P,7,P,94,1,5,-60,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +5,5,85,5,2,7,3,37,3,-0.11,69,Y,-0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +9,8,88,9,2,7,3,42,3,1.05,69,Y,0.62,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +2,2,100,2,1,6,1,32,3,-1.02,67,Y,-1.33,F,2,P,94,1,3,-65,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +1,2,103,2,1,7,2,32,3,-1.26,69,Y,-1.02,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +5,3,149,5,2,7,3,34.5,3,-0.03,54,Y,-0.64,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.8420885,f 640-700,f 640-700,0.99291503,3 +7,5,173,7,2,7,3,32,3,0.37,69,Y,-0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +7,7,181,7,2,7,3,41,3,0.34,67,Y,0.35,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +8,9,191,8,1,7,3,35,3,0.76,64,Y,0.94,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,9,203,8,2,7,3,38,3,0.7,67,Y,0.89,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +1,2,212,1,2,7,1,40,3,-1.82,67,Y,-1.27,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,214,1,2,7,2,34,3,-2.51,67,Y,-1.5,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +,,215,7,1,7,4,42,3,0.52,70,X,,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +6,8,260,6,2,7,1,40,3,0.14,67,Y,0.57,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +9,7,263,9,2,7,1,38,3,0.96,66,Y,0.3,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +,,280,,2,7,6,29,3,,62,Y,,F,7,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,599.999987,e 580-640,e 580-640,0.99291503,3 +2,1,294,2,2,7,3,36,3,-0.94,69,Y,-1.32,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +2,5,351,2,1,7,1,39,3,-0.9,53,Y,-0.09,P,7,P,94,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,373,2,1,7,2,34,3,-1.27,67,Y,-1.48,F,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +1,1,384,1,1,3,1,26,3,-1.57,69,Y,-1.58,F,2,F,94,1,5,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,552.631568,d 520-580,d 520-580,0.99291503,3 +3,6,402,4,1,3,3,34,3,-0.47,69,Y,0.01,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +1,1,403,1,2,5,3,31,3,-1.46,49,Y,-1.34,F,7,F,95,2,2,-42,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +3,1,405,4,1,7,3,34,3,-0.5,69,Y,-1.41,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +1,1,433,2,1,2,4,35,3,-1.23,69,Y,-1.41,F,7,P,95,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +4,4,451,5,2,7,5,46,3,-0.21,66,Y,-0.46,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,868.421028,g 700+,i 820+,0.99291503,3 +4,5,467,5,2,8,2,29,3,-0.28,69,Y,-0.06,F,7,P,95,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,2,599.999987,e 580-640,e 580-640,0.99291503,3 +4,3,480,5,1,7,3,34.5,3,-0.2,68,Y,-0.63,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.8420885,f 640-700,f 640-700,0.99291503,3 +9,8,481,10,2,7,3,34,3,1.28,69,Y,0.76,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +7,6,513,7,1,7,1,35,3,0.38,69,Y,0.22,P,7,P,95,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +4,5,516,4,2,7,1,42,3,-0.4,67,Y,-0.12,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +4,1,527,4,2,7,4,47,3,-0.43,69,Y,-1.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,884.210501,g 700+,i 820+,0.99291503,3 +7,7,544,7,1,7,4,41,3,0.49,69,Y,0.38,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +7,6,557,7,2,7,3,35,3,0.45,68,Y,0.09,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +9,8,559,9,1,7,3,41,3,1.01,68,Y,0.66,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +5,5,567,5,2,7,3,38,3,-0.02,68,Y,-0.23,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,2,574,2,1,7,3,33,3,-1.03,63,Y,-1.15,P,7,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +4,2,592,4,1,7,3,36,3,-0.41,69,Y,-0.96,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +1,2,613,2,2,7,4,38,3,-1.23,68,Y,-0.86,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +2,5,618,2,2,7,4,35,3,-1.14,68,Y,-0.08,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +6,7,691,7,2,7,3,36.5,3,0.3,67,Y,0.54,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.4210345,g 700+,g 700-760,0.99291503,3 +1,1,704,2,2,6,2,25,3,-1.14,69,Y,-1.47,F,7,F,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,2,536.842095,d 520-580,d 520-580,0.99291503,3 +2,3,706,3,2,7,3,37,3,-0.7,68,Y,-0.77,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +3,4,711,3,2,7,4,37.5,3,-0.54,65,Y,-0.51,P,7,P,94,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.2105075,g 700+,g 700-760,0.99291503,3 +10,9,714,10,1,7,3,39,3,1.43,63,Y,1.16,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,5,741,7,2,7,2,29.5,3,0.22,65,Y,-0.23,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.8947235,e 580-640,e 580-640,0.99291503,3 +10,9,748,10,1,7,3,27.5,3,1.45,67,Y,0.87,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,576.3157775,d 520-580,d 520-580,0.99291503,3 +9,9,774,9,1,7,3,40,3,1.13,68,Y,1.17,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +7,7,777,7,2,7,1,45,3,0.35,69,Y,0.49,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +4,4,797,4,2,7,3,40,3,-0.42,68,Y,-0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +3,5,818,4,1,7,3,31.5,3,-0.44,68,Y,-0.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +3,2,831,3,2,3,1,35,3,-0.62,64,Y,-0.9,P,7,P,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +4,6,843,4,1,7,3,40,3,-0.38,68,Y,0.17,P,7,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +8,9,845,8,1,7,2,34,3,0.6,62,Y,0.95,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +6,7,856,6,2,7,3,33,3,0.08,68,Y,0.36,P,6,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +10,9,878,10,2,7,1,43,3,1.4,64,Y,1.2,P,2,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +3,3,880,4,1,7,3,27,3,-0.44,66,Y,-0.73,P,2,P,95,2,5,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,568.421041,d 520-580,d 520-580,0.99291503,3 +9,8,891,9,2,7,3,32,3,0.94,69,Y,0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +2,4,904,2,1,7,3,31,3,-0.93,68,Y,-0.43,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +1,3,907,1,1,5,3,31,3,-1.8,69,Y,-0.85,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +5,3,943,5,2,7,3,30,3,-0.09,68,Y,-0.61,F,7,P,96,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +9,8,962,9,2,7,2,34,3,0.9,66,Y,0.83,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +6,3,988,6,2,7,4,41,3,0.13,69,Y,-0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +4,3,997,5,1,4,4,39,3,-0.25,68,Y,-0.65,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +,,1002,,2,7,4,43,3,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,821.052609,g 700+,i 820+,0.99291503,3 +7,6,1034,7,2,7,1,39,3,0.4,68,Y,0.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +3,3,1036,3,1,7,1,40,3,-0.6,66,Y,-0.63,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +7,6,1041,7,1,7,1,36,3,0.57,49,Y,0.13,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +,,1055,,2,7,6,33,3,,63,Y,,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,663.157879,f 640-700,f 640-700,0.99291503,3 +4,1,1067,4,1,7,1,33.5,3,-0.37,68,Y,-1.69,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.0526155,f 640-700,f 640-700,0.99291503,3 +1,2,1069,1,1,7,4,31,3,-1.66,64,Y,-0.95,F,7,P,96,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,631.578933,e 580-640,e 580-640,0.99291503,3 +7,6,1113,7,2,7,4,35,3,0.3,52,Y,0.19,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +9,9,1122,9,1,7,3,40,3,0.97,68,Y,1.06,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +3,2,1128,3,1,7,3,42,3,-0.62,69,Y,-1.13,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,805.263136,g 700+,h 760-820,0.99291503,3 +7,10,1156,8,1,7,3,32,3,0.56,59,Y,1.89,P,7,P,94,2,3,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +4,3,1158,4,2,7,3,33,3,-0.4,67,Y,-0.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +,,1183,1,1,2,3,27.5,3,-1.42,66,Y,,F,7,P,96,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,576.3157775,d 520-580,d 520-580,0.99291503,3 +2,1,1235,2,2,7,2,32,3,-0.94,67,Y,-1.8,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +6,7,1263,6,1,7,1,38,3,0.27,69,Y,0.42,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +2,1,1264,2,2,7,1,39,3,-1.05,69,Y,-1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +5,4,1278,5,1,7,3,35,3,-0.09,68,Y,-0.51,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +3,1,1285,3,2,7,6,17.5,3,-0.58,50,Y,-1.38,F,2,P,95,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,418.4210475,b 400-460,b 400-460,0.99291503,3 +3,7,1288,3,1,7,2,34,3,-0.55,64,Y,0.43,P,2,P,95,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +2,3,1298,2,2,7,3,24,3,-1.04,62,Y,-0.78,F,7,P,96,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,521.052622,d 520-580,d 520-580,0.99291503,3 +4,2,1308,4,2,7,1,39,3,-0.39,69,Y,-1.25,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,1318,1,2,1,1,20,3,-1.81,46,Y,-1.8,F,2,F,95,1,3,-44,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,457.89473,b 400-460,b 400-460,0.99291503,3 +7,4,1342,7,2,7,4,38,3,0.41,69,Y,-0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +3,2,1355,3,2,7,1,36,3,-0.71,63,Y,-1.12,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +7,7,1380,7,2,7,2,33,3,0.41,69,Y,0.3,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +9,10,1404,9,2,8,3,36,3,1.25,68,Y,1.33,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +7,7,1417,7,2,7,1,38,3,0.48,69,Y,0.31,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +6,6,1419,6,1,7,1,38,3,0.12,56,Y,0.07,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +9,9,1420,9,1,7,3,41,3,1.22,69,Y,1.03,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +4,2,1432,5,2,7,3,38,3,-0.18,56,Y,-1.07,F,2,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,6,1440,7,1,3,6,32,3,0.46,68,Y,0.09,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,647.368406,f 640-700,f 640-700,0.99291503,3 +1,2,1445,2,2,7,3,36,3,-1.19,68,Y,-0.97,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +5,4,1500,6,2,8,3,27,3,0.05,67,Y,-0.33,P,7,P,94,1,4,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,568.421041,d 520-580,d 520-580,0.99291503,3 +7,8,1502,7,2,7,3,38,3,0.48,67,Y,0.65,F,6,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,742.105244,g 700+,g 700-760,0.99291503,3 +4,4,1535,4,2,7,3,31,3,-0.34,68,Y,-0.36,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +5,4,1542,5,2,3,3,29,3,-0.04,67,Y,-0.32,P,7,P,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +6,4,1549,6,1,7,4,37,3,0.15,69,Y,-0.25,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +,,1556,,2,7,5,40,3,,58,Y,,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +7,6,1557,7,1,3,6,27,3,0.44,62,Y,0.25,P,7,P,94,1,4,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,568.421041,d 520-580,d 520-580,0.99291503,3 +3,6,1568,4,2,7,1,41,3,-0.46,68,Y,0.14,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +1,1,1575,1,2,6,1,36,3,-1.61,69,Y,-1.69,P,7,P,94,1,1,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +,,1578,3,1,3,5,32,3,-0.55,70,Y,,P,7,P,94,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,647.368406,f 640-700,f 640-700,0.99291503,3 +8,5,1597,8,1,7,4,47,3,0.78,68,Y,0,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,884.210501,g 700+,i 820+,0.99291503,3 +3,2,1598,3,2,4,3,29,3,-0.57,58,Y,-1.02,F,7,P,95,1,2,-51,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +9,9,1604,9,2,7,3,35,3,0.88,60,Y,1.27,P,2,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,6,1608,6,2,7,2,33,3,0.06,67,Y,0.1,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +5,4,1643,5,2,6,1,29,3,-0.11,59,Y,-0.41,P,7,P,95,1,4,-52,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +8,9,1671,8,2,7,3,39,3,0.68,69,Y,0.95,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +3,4,1697,3,2,7,3,36,3,-0.54,59,Y,-0.51,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +10,10,1762,10,1,7,4,36,3,1.37,69,Y,1.36,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +3,2,1764,3,2,4,1,36,3,-0.56,60,Y,-1.06,P,7,P,94,1,2,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +8,4,1801,8,2,7,1,42,3,0.8,67,Y,-0.34,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +7,7,1810,7,2,7,3,33,3,0.47,69,Y,0.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +7,6,1828,7,2,7,3,36,3,0.33,67,Y,0.03,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +8,6,1837,8,2,7,3,39,3,0.82,68,Y,0.19,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +4,4,1844,4,2,7,3,38.5,3,-0.31,65,Y,-0.41,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.9999805,g 700+,g 700-760,0.99291503,3 +6,7,1867,7,2,7,1,40,3,0.3,58,Y,0.41,P,7,P,95,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +2,2,1870,3,2,7,1,39,3,-0.76,52,Y,-1.18,P,7,P,94,1,5,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +3,2,1875,3,2,7,1,37,3,-0.62,68,Y,-1.03,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +1,1,1885,1,1,3,4,35,3,-1.28,57,Y,-1.63,P,7,P,94,1,1,-50,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +8,7,1898,8,2,7,5,39,3,0.72,64,Y,0.36,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,757.894717,g 700+,g 700-760,0.99291503,3 +10,9,1903,10,2,7,4,35,3,1.73,68,Y,1.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +3,3,1918,3,2,7,4,40,3,-0.61,57,Y,-0.61,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +2,1,1921,3,2,4,2,33,3,-0.84,59,Y,-1.41,P,7,P,94,1,3,-52,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +7,7,1926,7,2,7,3,40,3,0.34,68,Y,0.33,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +5,4,1935,5,1,3,6,18,3,-0.04,59,Y,-0.56,F,7,P,95,1,3,-52,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,426.315784,b 400-460,b 400-460,0.99291503,3 +10,10,1962,10,2,7,3,37,3,1.59,54,Y,1.67,P,2,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +9,9,1974,9,2,7,1,42,3,1,54,Y,1.02,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +6,5,1988,7,1,7,2,32.5,3,0.23,68,Y,-0.24,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.2631425,f 640-700,f 640-700,0.99291503,3 +5,7,1997,5,2,7,3,34,3,-0.05,68,Y,0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +3,2,2017,3,2,8,3,27.5,3,-0.52,68,Y,-1.07,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,576.3157775,d 520-580,d 520-580,0.99291503,3 +9,10,2018,9,2,7,3,42,3,1.19,67,Y,1.48,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +1,1,2066,1,2,2,4,36,3,-2.14,68,Y,-2.28,P,7,P,94,1,2,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +9,10,2070,9,2,7,3,38,3,0.97,69,Y,1.32,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,1,2084,2,2,2,4,34.5,3,-0.83,62,Y,-1.75,P,2,P,96,2,2,-60,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,686.8420885,f 640-700,f 640-700,0.99291503,3 +3,2,2092,3,2,7,3,37,3,-0.54,69,Y,-0.93,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,2,2093,3,2,4,1,32,3,-0.81,69,Y,-1.04,F,7,F,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +2,3,2112,3,2,7,3,31.5,3,-0.83,63,Y,-0.58,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +3,5,2125,3,2,7,1,42,3,-0.69,67,Y,-0.23,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +7,7,2131,7,2,7,3,39,3,0.41,69,Y,0.52,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +10,9,2146,10,1,7,2,33,3,1.27,67,Y,1.26,P,7,P,94,,3,-60,female,,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +1,1,2150,1,2,7,3,33,3,-1.44,57,Y,-1.34,P,7,P,94,1,2,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +2,3,2155,3,1,7,3,38,3,-0.73,69,Y,-0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +5,7,2187,6,1,7,5,42,3,0.07,69,Y,0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +2,2,2188,2,2,7,4,46,3,-1.03,67,Y,-1.26,P,6,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,868.421028,g 700+,i 820+,0.99291503,3 +6,6,2210,6,1,7,3,39,3,0.07,68,Y,0.04,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,6,2217,6,1,7,3,34,3,0.25,57,Y,0,P,7,P,95,2,2,-50,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +2,2,2224,2,2,7,3,32,3,-0.96,63,Y,-1.31,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +2,2,2235,2,1,3,3,20,3,-1.02,70,Y,-1.23,F,7,F,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,457.89473,b 400-460,b 400-460,0.99291503,3 +6,5,2245,6,2,7,1,40,3,0.21,50,Y,-0.19,P,7,P,95,2,3,-43,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +,,2254,8,1,7,1,37.5,3,0.62,66,X,,P,2,P,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.2105075,g 700+,g 700-760,0.99291503,3 +7,7,2337,7,2,7,4,44,3,0.45,63,Y,0.44,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +8,10,2344,8,1,2,1,35.5,3,0.66,66,Y,1.47,P,2,P,95,1,4,-64,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,702.6315615,g 700+,g 700-760,0.99291503,3 +3,5,2346,3,2,7,4,33,3,-0.59,67,Y,-0.02,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +9,9,2355,9,2,7,3,42,3,1.24,69,Y,1.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +6,7,2373,6,1,7,3,39,3,0.12,68,Y,0.42,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,2375,1,1,7,3,29,3,-1.59,67,Y,-1.49,F,7,P,95,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +3,2,2411,4,1,3,3,35,3,-0.44,68,Y,-1.06,F,7,F,95,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,7,2431,8,2,7,6,33,3,0.65,60,Y,0.32,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,663.157879,f 640-700,f 640-700,0.99291503,3 +10,10,2439,10,1,7,1,42,3,1.42,69,Y,1.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +3,4,2446,3,2,4,4,38,3,-0.52,67,Y,-0.51,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +7,6,2450,7,1,7,3,40,3,0.49,68,Y,0.01,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +10,10,2475,10,2,7,6,26.7,3,1.82,66,Y,1.91,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,563.6841991,d 520-580,d 520-580,0.99291503,3 +3,3,2500,3,1,3,3,32,3,-0.59,67,Y,-0.81,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +,,2510,,2,7,4,39,3,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +8,9,2540,8,1,7,3,34,3,0.61,69,Y,1.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +6,5,2541,6,2,7,2,31,3,0.04,67,Y,-0.1,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +7,5,2556,7,1,6,4,33,3,0.51,69,Y,-0.08,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +6,9,2585,6,1,7,3,35,3,0.17,69,Y,0.95,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +2,2,2616,3,2,7,3,36,3,-0.8,69,Y,-0.95,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +6,8,2621,7,1,2,4,41,3,0.26,68,Y,0.85,P,7,P,94,1,2,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +1,1,2625,1,2,2,1,42,3,-2.16,65,Y,-1.88,F,7,F,94,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,805.263136,g 700+,h 760-820,0.99291503,3 +8,8,2627,8,1,7,3,35,3,0.73,68,Y,0.7,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +3,4,2644,4,1,3,1,40.5,3,-0.48,68,Y,-0.4,P,7,P,94,1,,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,781.5789265,g 700+,h 760-820,0.99291503,3 +7,6,2676,7,1,7,3,26.5,3,0.39,68,Y,0.13,F,7,F,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,560.5263045,d 520-580,d 520-580,0.99291503,3 +,,2694,,1,3,1,29,3,,65,Y,-0.85,F,2,P,95,2,3,-63,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +10,7,2740,10,2,7,1,38,3,1.53,60,Y,0.42,F,7,P,95,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +5,7,2751,6,2,7,4,40,3,0.05,69,Y,0.41,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +7,5,2762,7,2,3,3,41,3,0.37,58,Y,-0.14,P,2,P,94,1,2,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +7,6,2775,7,2,7,2,35,3,0.31,67,Y,0,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +10,9,2782,10,2,7,1,46,3,1.7,67,Y,0.98,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +6,7,2784,6,2,7,1,43,3,0.23,65,Y,0.49,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +8,6,2799,8,2,7,2,29,3,0.77,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,599.999987,e 580-640,e 580-640,0.99291503,3 +2,1,2804,2,1,2,2,31,3,-0.93,68,Y,-1.49,F,7,P,95,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +9,9,2815,9,1,7,3,37,3,1.17,68,Y,1.17,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,2,2867,3,1,7,3,34,3,-0.83,63,Y,-1.06,F,7,P,95,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +2,2,2881,3,2,7,2,30,3,-0.79,58,Y,-1.06,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,615.78946,e 580-640,e 580-640,0.99291503,3 +2,3,2887,2,2,2,3,37,3,-0.97,68,Y,-0.71,P,2,P,95,1,2,-66,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,7,2905,7,2,7,4,24,3,0.46,66,Y,0.35,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,521.052622,d 520-580,d 520-580,0.99291503,3 +3,3,2918,3,1,4,1,31,3,-0.52,68,Y,-0.7,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +4,4,2924,4,2,7,3,37,3,-0.29,68,Y,-0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +8,5,2951,8,2,7,4,40,3,0.6,68,Y,-0.1,P,7,P,94,,4,-61,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +4,3,2986,4,1,2,1,34,3,-0.24,68,Y,-0.58,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,678.947352,f 640-700,f 640-700,0.99291503,3 +,,3017,,1,7,3,39,3,,60,Y,,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +,,3021,,1,7,5,43,3,,69,Y,,F,7,P,96,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,821.052609,g 700+,i 820+,0.99291503,3 +10,9,3030,10,1,7,3,40,3,1.45,69,Y,1.06,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +2,3,3038,3,2,7,1,38,3,-0.75,57,Y,-0.65,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +2,4,3054,3,2,7,4,37,3,-0.8,68,Y,-0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +2,1,3055,2,1,7,4,35.5,3,-1.14,68,Y,-1.33,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,702.6315615,g 700+,g 700-760,0.99291503,3 +5,6,3064,5,1,7,3,37,3,-0.13,68,Y,0.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +5,3,3070,5,2,7,3,41,3,-0.11,69,Y,-0.83,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +3,4,3081,4,1,7,2,32.5,3,-0.51,69,Y,-0.42,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.2631425,f 640-700,f 640-700,0.99291503,3 +5,7,3090,5,2,7,4,35,3,-0.05,68,Y,0.42,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +2,2,3100,2,2,7,4,38,3,-1.09,68,Y,-1.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +6,4,3156,6,2,7,2,37,3,0.1,68,Y,-0.41,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,726.315771,g 700+,g 700-760,0.99291503,3 +6,6,3190,6,2,2,1,29,3,0.16,67,Y,0.22,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +2,3,3195,3,1,7,3,37,3,-0.81,68,Y,-0.81,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,7,3200,7,1,7,1,41,3,0.37,62,Y,0.4,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +2,3,3221,3,1,7,2,33,3,-0.76,68,Y,-0.82,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +6,5,3232,6,2,7,1,40,3,0.21,69,Y,-0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +1,2,3242,1,2,2,4,33,3,-1.28,62,Y,-1.07,F,7,F,95,1,4,-55,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +1,1,3281,1,1,3,3,29,3,-2.16,68,Y,-2.45,F,7,F,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +4,2,3343,4,2,2,3,31,3,-0.39,63,Y,-1.04,P,7,P,93,1,3,-56,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +1,1,3350,1,2,7,3,39,3,-1.64,67,Y,-1.93,F,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +,,3377,4,2,7,5,38,3,-0.26,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,742.105244,g 700+,g 700-760,0.99291503,3 +4,2,3385,4,2,8,1,34,3,-0.26,59,Y,-1.06,P,7,P,94,1,3,-52,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,678.947352,f 640-700,f 640-700,0.99291503,3 +8,4,3438,8,2,7,4,44,3,0.68,67,Y,-0.34,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +3,3,3462,4,1,7,3,38,3,-0.45,50,Y,-0.76,P,2,P,95,2,3,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +8,8,3466,8,1,7,3,35,3,0.69,48,Y,0.73,P,7,P,94,1,2,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,3,3493,6,2,7,3,29.5,3,0.05,69,Y,-0.86,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.8947235,e 580-640,e 580-640,0.99291503,3 +1,1,3514,1,2,3,1,29,3,-3.03,68,Y,-3.46,F,7,P,96,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +8,7,3549,8,2,7,2,38,3,0.74,69,Y,0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,742.105244,g 700+,g 700-760,0.99291503,3 +8,7,3561,8,2,7,3,39,3,0.73,70,Y,0.41,P,7,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +5,3,3609,5,1,7,1,34,3,-0.12,64,Y,-0.72,F,7,P,95,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,678.947352,f 640-700,f 640-700,0.99291503,3 +6,8,3637,7,2,7,4,46,3,0.27,67,Y,0.65,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,868.421028,g 700+,i 820+,0.99291503,3 +7,7,3644,7,2,7,1,48,3,0.42,67,Y,0.45,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,899.999974,g 700+,i 820+,0.99291503,3 +9,5,3646,9,2,7,1,31,3,1.05,66,Y,-0.13,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +3,3,3651,3,1,7,3,38,3,-0.69,69,Y,-0.73,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,4,3675,7,1,3,4,28,3,0.43,62,Y,-0.47,F,7,F,95,1,4,-55,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,584.210514,e 580-640,e 580-640,0.99291503,3 +8,7,3692,9,2,5,3,37,3,0.87,68,Y,0.41,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +8,6,3731,8,1,7,3,38,3,0.83,67,Y,0.24,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +4,5,3744,4,2,7,1,44,3,-0.28,68,Y,-0.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +4,4,3768,4,2,7,3,41,3,-0.39,69,Y,-0.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +4,5,3777,5,2,7,2,37,3,-0.27,68,Y,-0.14,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,726.315771,g 700+,g 700-760,0.99291503,3 +2,3,3796,2,1,2,3,31,3,-1.05,50,Y,-0.7,P,7,P,94,1,3,-43,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +10,10,3827,10,2,7,2,34,3,1.29,63,Y,1.36,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +3,2,3832,3,2,7,3,34,3,-0.57,69,Y,-0.96,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +2,4,3834,3,2,2,4,34,3,-0.81,69,Y,-0.48,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +3,5,3846,3,2,7,3,37,3,-0.59,69,Y,-0.25,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,7,3860,7,1,7,4,32,3,0.38,62,Y,0.29,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,647.368406,f 640-700,f 640-700,0.99291503,3 +9,10,3862,9,2,7,3,35.5,3,1.21,69,Y,1.4,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.6315615,g 700+,g 700-760,0.99291503,3 +4,4,3887,4,1,7,3,35,3,-0.36,69,Y,-0.47,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,8,3931,6,2,7,3,31.5,3,0.17,66,Y,0.74,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +4,5,3951,4,1,3,1,29,3,-0.42,52,Y,-0.1,P,7,P,95,2,3,-45,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +7,9,3955,7,2,2,3,37,3,0.47,66,Y,0.94,P,7,P,94,2,4,-59,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +3,2,3995,4,2,7,3,40,3,-0.47,69,Y,-1.26,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +2,2,3997,2,2,7,3,33,3,-1.06,60,Y,-1.31,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +7,6,3998,7,1,7,3,37,3,0.51,66,Y,0.26,F,2,F,95,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,726.315771,g 700+,g 700-760,0.99291503,3 +,,4005,,2,7,6,32,3,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,647.368406,f 640-700,f 640-700,0.99291503,3 +5,6,4014,5,2,7,3,34,3,-0.14,60,Y,-0.01,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +1,3,4042,1,1,7,4,42,3,-1.42,66,Y,-0.82,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +7,8,4077,7,1,7,3,39,3,0.33,68,Y,0.63,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +3,1,4146,3,1,7,5,43,3,-0.59,41,Y,-1.34,F,7,F,94,1,4,-34,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,821.052609,g 700+,i 820+,0.99291503,3 +8,10,4173,8,1,7,3,31,3,0.6,60,Y,2.75,P,2,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +,,4179,5,1,7,3,41,3,-0.22,68,Y,,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +8,8,4188,8,2,6,4,40,3,0.75,66,Y,0.77,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +9,8,4199,9,2,7,2,30,3,1.1,66,Y,0.73,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,615.78946,e 580-640,e 580-640,0.99291503,3 +10,10,4202,10,2,7,3,36,3,1.46,69,Y,1.52,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +10,8,4214,10,2,7,3,33,3,1.37,67,Y,0.6,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +2,4,4222,2,2,7,1,35,3,-1.14,42,Y,-0.37,P,7,P,94,1,4,-35,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +1,1,4229,1,1,7,1,32,3,-1.68,43,Y,-2.06,F,7,F,94,1,2,-36,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +1,3,4249,2,2,7,4,35,3,-1.24,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +1,1,4258,1,2,7,4,34,3,-1.85,58,Y,-1.53,F,7,F,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +5,4,4300,5,1,4,1,39,3,-0.13,69,Y,-0.44,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +4,4,4335,5,1,7,3,35,3,-0.22,68,Y,-0.35,F,6,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,6,4358,6,1,7,3,40,3,0.1,67,Y,0.13,P,7,P,95,2,3,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +10,10,4360,10,2,8,4,39,3,1.7,61,Y,1.82,P,7,P,94,1,4,-54,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +3,6,4371,4,2,7,3,29,3,-0.44,12,Y,0.03,P,7,P,94,1,4,-5,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +10,10,4378,10,2,7,3,37,3,1.53,63,Y,1.72,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +3,2,4381,3,1,7,3,37,3,-0.55,69,Y,-1.19,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +10,10,4403,10,2,7,1,35.5,3,1.88,69,Y,2.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.6315615,g 700+,g 700-760,0.99291503,3 +,,4405,7,1,7,3,39.5,3,0.38,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,765.7894535,g 700+,h 760-820,0.99291503,3 +7,9,4418,7,1,7,3,39,3,0.36,67,Y,1.09,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +2,3,4427,2,2,7,4,34,3,-1.12,66,Y,-0.73,F,7,F,94,1,1,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +5,7,4448,5,2,4,3,35,3,-0.13,69,Y,0.45,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +2,2,4476,2,1,7,3,31,3,-1.04,53,Y,-1.21,F,7,F,95,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +10,8,4488,10,2,7,3,30.5,3,1.31,69,Y,0.65,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +,,4499,,1,7,6,29,3,,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,599.999987,e 580-640,e 580-640,0.99291503,3 +2,2,4507,2,2,7,3,30,3,-0.89,49,Y,-0.95,P,7,P,95,2,3,-42,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +6,5,4513,6,2,7,1,38,3,0.14,69,Y,-0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +7,5,4527,7,2,7,3,33,3,0.4,70,Y,-0.06,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +8,10,4556,9,1,7,3,35,3,0.84,48,Y,1.54,P,7,P,95,1,2,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +7,5,4566,7,1,7,3,33,3,0.46,63,Y,-0.06,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +8,8,4580,8,1,7,1,40,3,0.77,66,Y,0.77,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +,,4586,,1,7,6,31,3,,58,Y,,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,631.578933,e 580-640,e 580-640,0.99291503,3 +3,3,4588,3,2,7,3,36,3,-0.62,69,Y,-0.87,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +4,8,4594,4,2,7,2,33,3,-0.37,67,Y,0.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +7,9,4627,7,2,7,4,32,3,0.5,66,Y,1.25,P,7,P,95,2,1,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,647.368406,f 640-700,f 640-700,0.99291503,3 +9,6,4641,9,2,3,4,35,3,0.88,67,Y,0.09,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +7,7,4648,7,2,7,3,31,3,0.4,65,Y,0.35,F,7,F,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +10,10,4687,10,2,7,3,42,3,2.36,61,Y,2.74,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +6,4,4736,6,2,7,1,39,3,0.24,68,Y,-0.5,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +,,4740,,2,7,5,42,3,,68,Y,,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +1,2,4754,1,2,3,4,41,3,-1.3,69,Y,-1.2,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +4,5,4775,4,2,7,4,41,3,-0.26,58,Y,-0.2,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +8,8,4780,8,2,7,3,37.5,3,0.81,66,Y,0.82,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.2105075,g 700+,g 700-760,0.99291503,3 +4,7,4781,4,2,7,3,34,3,-0.41,69,Y,0.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +10,7,4827,10,1,7,3,34,3,1.48,67,Y,0.53,P,7,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +9,9,4833,9,2,7,1,39,3,1.03,69,Y,1.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +3,3,4845,4,1,7,4,33,3,-0.48,69,Y,-0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +5,5,4897,5,2,7,3,31,3,-0.04,69,Y,-0.15,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +10,9,4905,10,2,7,3,38,3,1.35,67,Y,1.14,P,2,P,95,2,3,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,8,4929,7,2,7,3,33,3,0.32,69,Y,0.55,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +7,6,4930,8,2,7,6,31,3,0.56,69,Y,0.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,631.578933,e 580-640,e 580-640,0.99291503,3 +9,9,4939,9,1,7,6,40,3,1.11,65,Y,1.09,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,773.68419,g 700+,h 760-820,0.99291503,3 +4,5,4970,5,1,7,3,35,3,-0.18,56,Y,-0.16,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,6,4992,8,2,7,3,36,3,0.7,66,Y,-0.01,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +3,2,5043,3,1,7,1,41,3,-0.53,68,Y,-1.07,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +8,7,5063,8,2,7,3,46,3,0.58,53,Y,0.27,P,2,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,868.421028,g 700+,i 820+,0.99291503,3 +7,9,5083,7,2,7,3,32,3,0.33,66,Y,0.99,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +6,7,5109,6,2,7,3,36,3,0.2,68,Y,0.35,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +6,6,5129,7,1,7,3,36,3,0.26,63,Y,0.21,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +6,7,5130,6,2,7,1,44,3,0.19,69,Y,0.55,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +4,4,5140,4,1,7,3,39,3,-0.33,62,Y,-0.38,P,7,P,94,1,,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +7,3,5144,7,2,7,4,42,3,0.33,69,Y,-0.78,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +9,7,5227,9,2,7,3,37,3,0.94,68,Y,0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +6,6,5248,6,1,7,4,43,3,0.12,69,Y,0.11,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,821.052609,g 700+,i 820+,0.99291503,3 +6,6,5262,7,2,7,3,34,3,0.28,68,Y,0.24,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +7,6,5273,7,2,7,1,45,3,0.44,68,Y,0.16,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +4,7,5301,4,2,7,2,34,3,-0.39,69,Y,0.36,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +2,1,5316,2,1,2,3,19,3,-0.92,66,Y,-1.46,P,7,P,94,1,1,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,442.105257,b 400-460,b 400-460,0.99291503,3 +7,5,5350,8,2,7,4,38,3,0.56,53,Y,-0.06,P,7,P,95,2,3,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +5,5,5368,5,1,7,1,42,3,-0.05,61,Y,-0.09,P,2,P,96,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +10,10,5383,10,1,7,6,39,3,1.56,62,Y,1.77,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,757.894717,g 700+,g 700-760,0.99291503,3 +5,2,5392,5,2,7,3,37,3,-0.05,63,Y,-1.15,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +4,5,5439,4,2,7,1,40,3,-0.24,55,Y,-0.14,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,5463,1,1,7,3,39,3,-1.7,48,Y,-2.01,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,5466,1,2,2,2,29,3,-1.56,69,Y,-1.75,F,7,F,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,2,599.999987,e 580-640,e 580-640,0.99291503,3 +7,6,5477,7,2,7,3,36,3,0.36,68,Y,0.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +10,10,5495,10,2,7,3,43,3,2.59,69,Y,2.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +10,10,5540,10,2,7,1,33,3,1.65,69,Y,1.94,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +,,5545,,1,7,5,39,3,,47,Y,,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,757.894717,g 700+,g 700-760,0.99291503,3 +6,5,5552,6,1,7,3,35,3,0.18,46,Y,-0.06,P,2,P,95,2,3,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +7,8,5608,8,1,7,3,42,3,0.55,69,Y,0.86,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +6,8,5611,6,2,7,1,38,3,0.21,64,Y,0.69,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,5624,1,2,7,4,38,3,-1.68,68,Y,-1.85,F,7,F,95,1,,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,742.105244,g 700+,g 700-760,0.99291503,3 +9,9,5625,9,2,7,1,39,3,1.08,66,Y,0.94,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +7,8,5669,8,2,7,3,33,3,0.56,59,Y,0.79,P,7,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +1,1,5678,2,1,2,3,25.5,3,-1.15,64,Y,-2.03,F,7,F,94,1,3,-57,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,544.7368315,d 520-580,d 520-580,0.99291503,3 +6,7,5681,6,2,7,3,31,3,0.1,65,Y,0.35,P,2,P,95,2,2,-63,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +2,1,5704,2,2,4,1,39,3,-0.9,67,Y,-1.41,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +6,4,5747,6,2,7,4,37,3,0.21,67,Y,-0.29,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +10,9,5762,10,2,7,3,37,3,1.88,67,Y,1.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,7,5763,7,2,7,4,38,3,0.52,49,Y,0.49,P,2,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +4,4,5771,4,2,7,1,47,3,-0.4,69,Y,-0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,884.210501,g 700+,i 820+,0.99291503,3 +1,2,5781,1,1,7,1,41,3,-2.03,70,Y,-1.09,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +8,9,5791,9,2,2,4,39.5,3,0.87,69,Y,0.9,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,765.7894535,g 700+,h 760-820,0.99291503,3 +,,5793,,2,7,1,42,3,,66,Y,,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +4,4,5805,4,2,7,3,42,3,-0.32,69,Y,-0.42,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +5,6,5817,5,1,7,3,41,3,-0.06,68,Y,0.24,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +3,3,5836,3,1,7,4,38,3,-0.69,68,Y,-0.61,F,7,P,95,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +5,6,5845,5,2,7,1,35,3,0.02,41,Y,0.06,P,7,P,94,1,3,-34,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +8,9,5854,8,1,7,3,36.5,3,0.7,69,Y,1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.4210345,g 700+,g 700-760,0.99291503,3 +9,8,5891,9,1,7,3,36,3,1.21,69,Y,0.65,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +7,7,5916,7,2,7,1,35,3,0.42,69,Y,0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +3,3,5920,3,1,7,4,36,3,-0.69,67,Y,-0.76,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +6,7,5926,6,1,2,3,31,3,0.06,65,Y,0.42,P,7,P,94,1,3,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +5,6,5960,5,2,7,4,37,3,-0.12,69,Y,0.17,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +8,8,5985,8,2,7,3,34,3,0.58,57,Y,0.62,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +8,7,5996,8,1,7,1,44,3,0.86,68,Y,0.54,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +1,1,6011,1,2,3,4,22,3,-2.01,65,Y,-3.21,F,7,F,95,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,489.473676,c 460-520,c 460-520,0.99291503,3 +3,7,6023,4,2,7,3,35.5,3,-0.48,68,Y,0.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.6315615,g 700+,g 700-760,0.99291503,3 +1,1,6027,1,1,4,4,29,3,-1.3,69,Y,-1.77,F,2,P,96,1,2,-67,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,599.999987,e 580-640,e 580-640,0.99291503,3 +6,7,6067,6,2,7,4,42,3,0.15,64,Y,0.5,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +,,6079,,2,7,1,39,3,,61,Y,,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +3,2,6093,3,2,7,3,34,3,-0.6,65,Y,-1.1,F,7,F,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +8,3,6094,8,2,7,1,33,3,0.7,69,Y,-0.8,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +10,10,6145,10,,7,1,45,3,1.96,63,Y,2.15,P,7,P,94,1,2,-56,,0,,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +6,7,6150,6,2,7,4,41,3,0.05,65,Y,0.35,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +5,4,6154,5,1,7,3,31.5,3,-0.12,67,Y,-0.47,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +9,9,6159,9,1,7,3,36,3,0.98,69,Y,0.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +7,8,6189,7,2,7,5,45,3,0.57,68,Y,0.7,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,852.631555,g 700+,i 820+,0.99291503,3 +9,7,6193,9,1,7,3,38,3,0.92,68,Y,0.51,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +9,10,6213,9,2,7,3,44,3,1.05,68,Y,1.47,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +7,8,6240,7,1,7,1,39,3,0.49,66,Y,0.61,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +8,7,6249,8,1,7,3,32,3,0.68,59,Y,0.39,P,7,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +1,2,6280,2,2,7,3,30,3,-1.17,66,Y,-1.16,P,2,P,95,2,2,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +7,7,6282,8,1,7,3,36,3,0.56,68,Y,0.54,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +9,8,6305,9,2,2,1,42,3,1.02,69,Y,0.73,P,2,P,95,1,4,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +3,6,6309,3,2,7,3,37,3,-0.61,65,Y,0.03,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,2,6311,3,2,7,2,35,3,-0.82,69,Y,-1.24,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +9,2,6319,9,1,6,1,27,3,1,68,Y,-1.2,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,568.421041,d 520-580,d 520-580,0.99291503,3 +1,2,6321,2,2,7,3,34,3,-1.11,68,Y,-1.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +9,8,6352,9,1,7,3,37,3,0.89,69,Y,0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +5,6,6361,5,1,7,4,34,3,-0.07,66,Y,0.03,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +8,6,6370,8,2,7,3,37,3,0.62,68,Y,0.19,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +,,6374,1,1,3,4,28,3,-1.46,69,Y,,P,2,P,96,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,584.210514,e 580-640,e 580-640,0.99291503,3 +10,10,6380,10,1,7,3,43,3,1.42,63,Y,1.36,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +6,7,6417,6,1,7,1,43,3,0.18,62,Y,0.32,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +5,4,6420,5,1,7,4,29,3,0,61,Y,-0.46,P,7,P,94,1,5,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,599.999987,e 580-640,e 580-640,0.99291503,3 +3,3,6440,3,1,7,3,35.5,3,-0.67,61,Y,-0.77,P,7,P,94,2,2,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.6315615,g 700+,g 700-760,0.99291503,3 +2,2,6468,2,2,7,1,41,3,-0.98,69,Y,-1.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +3,3,6484,3,1,7,4,36,3,-0.57,67,Y,-0.76,F,7,P,96,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +,,6491,,2,7,3,42,3,,68,Y,,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +1,1,6537,1,2,4,4,39,3,-1.55,67,Y,-1.31,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +4,8,6551,4,2,7,1,39,3,-0.38,61,Y,0.59,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +5,3,6558,5,2,7,3,35.7,3,-0.13,68,Y,-0.79,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.7894561,g 700+,g 700-760,0.99291503,3 +7,9,6561,7,2,7,3,43,3,0.48,70,Y,1.17,P,7,P,95,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +,,6574,,1,7,4,34,3,,69,Y,-0.48,P,2,P,94,1,2,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +2,1,6608,2,1,4,1,31,3,-1.09,63,Y,-1.52,F,7,P,95,1,2,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +5,6,6609,6,2,7,2,34,3,0.01,68,Y,0.21,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +5,4,6631,6,2,7,3,41,3,0,67,Y,-0.44,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +2,2,6651,2,2,7,3,35,3,-0.95,69,Y,-1.09,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +2,3,6665,3,2,7,3,34,3,-0.75,68,Y,-0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +,,6679,,2,7,1,46,3,,64,Y,,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +6,6,6688,6,1,7,4,34.3,3,0.07,54,Y,0.12,P,7,P,94,2,3,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,683.6841939,f 640-700,f 640-700,0.99291503,3 +3,2,6698,3,2,7,4,37.5,3,-0.58,68,Y,-1.21,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.2105075,g 700+,g 700-760,0.99291503,3 +10,9,6712,10,2,8,5,43,3,1.51,69,Y,0.85,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,821.052609,g 700+,i 820+,0.99291503,3 +8,9,6788,8,2,7,3,44,3,0.75,65,Y,0.91,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +5,5,6818,5,1,7,3,40,3,-0.08,69,Y,-0.18,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,6831,1,2,3,1,42,3,-2.14,66,Y,-2.26,F,2,F,96,1,4,-64,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,805.263136,g 700+,h 760-820,0.99291503,3 +6,9,6845,6,2,7,4,34,3,0.23,67,Y,1.17,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +3,5,6848,3,2,7,3,40,3,-0.62,69,Y,-0.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +2,1,6864,3,1,7,4,38.5,3,-0.81,68,Y,-1.34,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,749.9999805,g 700+,g 700-760,0.99291503,3 +10,10,6928,10,2,7,1,42,3,1.75,68,Y,1.74,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +4,4,6929,4,1,7,3,30,3,-0.33,68,Y,-0.29,F,7,P,95,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +5,5,6947,5,2,4,1,29.5,3,0.04,66,Y,-0.25,F,2,F,95,1,4,-64,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,607.8947235,e 580-640,e 580-640,0.99291503,3 +2,3,6965,3,2,3,6,17,3,-0.68,63,Y,-0.82,F,2,F,95,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,410.526311,b 400-460,b 400-460,0.99291503,3 +10,8,6973,10,2,7,5,43,3,1.47,68,Y,0.73,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,821.052609,g 700+,i 820+,0.99291503,3 +2,1,6977,2,2,7,3,36,3,-1.01,69,Y,-1.62,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +8,7,6986,8,2,7,3,37,3,0.8,62,Y,0.42,P,2,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,6,6995,8,1,7,3,35,3,0.53,69,Y,0.22,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +4,2,7005,4,2,7,3,35,3,-0.39,66,Y,-1.03,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +4,6,7010,5,1,7,3,35.5,3,-0.18,67,Y,0.12,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.6315615,g 700+,g 700-760,0.99291503,3 +6,7,7028,6,2,7,1,33,3,0.14,64,Y,0.54,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +4,3,7032,4,2,7,5,33.5,3,-0.46,68,Y,-0.77,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,671.0526155,f 640-700,f 640-700,0.99291503,3 +6,2,7111,6,1,7,1,24.7,3,0.12,67,Y,-1.34,F,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,532.1052531,d 520-580,d 520-580,0.99291503,3 +9,5,7114,9,1,3,6,28,3,1.09,68,Y,-0.24,F,7,F,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,584.210514,e 580-640,e 580-640,0.99291503,3 +3,3,7131,3,2,7,1,43,3,-0.71,63,Y,-0.59,F,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +7,8,7143,7,2,7,1,43,3,0.53,58,Y,0.75,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +5,5,7149,6,2,7,3,36,3,-0.01,68,Y,-0.07,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +6,8,7195,6,1,7,2,33,3,0.09,66,Y,0.65,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +3,2,7224,3,2,7,2,28,3,-0.58,68,Y,-0.91,P,7,P,94,2,5,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,584.210514,e 580-640,e 580-640,0.99291503,3 +10,8,7230,10,2,7,2,32,3,1.24,68,Y,0.84,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +6,9,7236,7,1,7,3,35,3,0.28,67,Y,0.97,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,5,7243,6,2,7,1,34.5,3,0.21,67,Y,0,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.8420885,f 640-700,f 640-700,0.99291503,3 +10,10,7281,10,2,7,3,38,3,1.33,69,Y,1.35,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,7,7283,7,2,7,2,33,3,0.45,68,Y,0.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +5,3,7289,5,1,7,4,36,3,-0.1,64,Y,-0.58,F,7,F,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,710.526298,g 700+,g 700-760,0.99291503,3 +8,8,7312,8,2,7,1,43,3,0.73,56,Y,0.67,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +2,3,7332,2,1,7,3,35,3,-0.88,68,Y,-0.6,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +4,6,7341,4,1,7,3,32,3,-0.42,62,Y,0,F,7,P,96,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +2,6,7342,3,2,7,4,40,3,-0.79,67,Y,0.21,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +,,7343,1,2,4,5,40,3,-1.43,68,Y,,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +6,6,7351,6,1,7,1,42,3,0.17,54,Y,0.19,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +4,5,7358,4,1,7,3,33.5,3,-0.34,64,Y,-0.18,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.0526155,f 640-700,f 640-700,0.99291503,3 +2,2,7373,2,2,7,2,35,3,-0.92,69,Y,-1.08,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +10,10,7398,10,2,7,3,44,3,1.41,63,Y,1.54,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +7,4,7402,7,2,7,3,38,3,0.51,61,Y,-0.49,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +4,4,7409,4,1,7,4,45,3,-0.26,69,Y,-0.34,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,852.631555,g 700+,i 820+,0.99291503,3 +7,4,7417,7,2,7,1,42,3,0.36,68,Y,-0.35,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +6,8,7424,6,2,7,2,28,3,0.13,69,Y,0.56,F,7,P,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,584.210514,e 580-640,e 580-640,0.99291503,3 +7,7,7454,7,2,7,4,35,3,0.52,69,Y,0.42,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +7,8,7479,7,2,7,3,37,3,0.37,69,Y,0.66,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +4,5,7589,4,2,7,4,35,3,-0.34,67,Y,-0.05,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +9,10,7598,9,1,7,1,38,3,1.1,69,Y,1.44,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +5,5,7599,5,1,7,3,32,3,-0.09,68,Y,-0.09,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +2,2,7629,2,1,3,1,31,3,-0.94,57,Y,-1.09,P,7,P,94,1,4,-50,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +3,2,7631,3,1,7,4,41,3,-0.73,69,Y,-0.92,F,7,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +9,5,7651,9,1,7,4,32,3,0.88,63,Y,0,P,7,P,94,1,1,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,647.368406,f 640-700,f 640-700,0.99291503,3 +9,10,7654,9,1,7,3,40,3,1.15,69,Y,1.5,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +3,2,7676,3,1,7,1,44,3,-0.72,69,Y,-1.24,P,2,P,96,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +,,7733,,1,2,5,33,3,,69,Y,,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,663.157879,f 640-700,f 640-700,0.99291503,3 +4,4,7760,4,2,7,3,35,3,-0.32,67,Y,-0.42,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,5,7773,7,1,7,1,38,3,0.32,69,Y,-0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,7797,1,2,7,3,38,3,-1.81,70,Y,-2.36,F,7,F,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,742.105244,g 700+,g 700-760,0.99291503,3 +3,3,7831,4,2,2,3,33,3,-0.5,59,Y,-0.58,P,7,P,94,2,4,-52,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +,,7844,,1,7,6,27,3,,61,Y,,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,568.421041,d 520-580,d 520-580,0.99291503,3 +7,7,7864,7,2,7,1,39,3,0.37,67,Y,0.37,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +10,10,7866,10,1,3,2,35,3,1.56,61,Y,1.7,P,7,P,94,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +5,3,7880,5,2,6,2,28,3,-0.16,69,Y,-0.6,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,584.210514,e 580-640,e 580-640,0.99291503,3 +10,10,7884,10,1,7,3,39,3,2.32,56,Y,2.68,P,2,P,96,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +10,9,7895,10,2,7,4,36,3,1.59,68,Y,1.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +7,6,7903,7,1,7,1,40,3,0.55,67,Y,0.16,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +6,5,7908,7,2,7,3,39,3,0.3,68,Y,-0.14,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +1,3,7909,2,2,7,3,36,3,-1.17,68,Y,-0.7,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +8,9,7930,9,2,7,3,40,3,0.86,66,Y,1.22,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +6,4,7931,6,1,7,1,43.5,3,0.18,65,Y,-0.32,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,828.9473455,g 700+,i 820+,0.99291503,3 +5,5,7961,5,2,7,1,39,3,-0.06,66,Y,-0.2,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +3,5,7981,3,2,2,5,38,3,-0.56,60,Y,-0.19,P,7,P,94,1,5,-53,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,742.105244,g 700+,g 700-760,0.99291503,3 +,,7983,6,1,7,3,30.5,3,0.03,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +1,3,8011,1,2,7,3,39,3,-1.43,57,Y,-0.76,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +7,7,8013,7,2,7,3,38,3,0.34,64,Y,0.27,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,7,8019,7,1,7,3,31,3,0.44,64,Y,0.47,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +3,10,8055,4,1,7,3,35,3,-0.49,65,Y,2.51,P,7,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +3,2,8064,3,2,6,4,36,3,-0.51,68,Y,-1.03,F,7,P,95,1,5,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +2,4,8083,3,1,5,1,28.7,3,-0.74,62,Y,-0.53,P,2,P,95,,2,-60,female,,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,595.2631451,e 580-640,e 580-640,0.99291503,3 +8,7,8098,8,1,7,1,42,3,0.78,55,Y,0.55,P,7,P,94,1,5,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +3,3,8099,4,1,7,1,40,3,-0.46,70,Y,-0.67,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +3,2,8106,3,2,7,4,39,3,-0.65,69,Y,-1.07,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +4,4,8123,4,1,7,2,35,3,-0.42,68,Y,-0.52,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +8,5,8130,8,1,7,1,40,3,0.76,68,Y,-0.19,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +6,5,8155,7,2,7,1,41,3,0.29,71,Y,-0.05,P,7,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +5,3,8166,5,2,7,1,37.5,3,-0.12,66,Y,-0.73,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.2105075,g 700+,g 700-760,0.99291503,3 +8,7,8219,8,2,7,1,44,3,0.77,67,Y,0.55,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +5,6,8245,6,1,7,3,31,3,0,58,Y,0.05,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +9,10,8270,9,2,7,2,32,3,0.93,65,Y,1.83,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +,,8275,,2,7,1,38,3,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,2,8279,2,1,6,2,28.5,3,-1.1,60,Y,-0.93,P,7,P,94,1,2,-53,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,592.1052505,e 580-640,e 580-640,0.99291503,3 +4,2,8289,4,1,7,3,30.5,3,-0.25,69,Y,-1,P,7,P,94,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +8,9,8306,8,1,7,4,36,3,0.62,63,Y,1.04,P,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +7,9,8315,7,2,7,3,40,3,0.47,60,Y,1.01,P,2,P,96,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +6,7,8317,6,1,7,3,34,3,0.15,68,Y,0.43,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +1,2,8320,2,2,3,1,28,3,-1.2,56,Y,-1.05,F,7,P,96,1,2,-49,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,584.210514,e 580-640,e 580-640,0.99291503,3 +5,6,8321,5,1,3,3,30,3,-0.1,68,Y,0.21,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +2,2,8329,2,2,7,3,34,3,-1.02,63,Y,-1.13,F,7,F,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +2,1,8335,2,1,7,1,40,3,-1.11,69,Y,-1.4,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +5,8,8345,6,2,7,3,39,3,0.02,68,Y,0.84,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +8,8,8385,8,2,7,4,32.5,3,0.64,69,Y,0.77,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,655.2631425,f 640-700,f 640-700,0.99291503,3 +3,2,8404,3,2,7,3,38,3,-0.55,67,Y,-1.28,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,742.105244,g 700+,g 700-760,0.99291503,3 +5,5,8416,5,2,7,2,29,3,-0.02,65,Y,-0.2,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,599.999987,e 580-640,e 580-640,0.99291503,3 +4,1,8434,4,1,7,3,33,3,-0.34,47,Y,-1.34,P,2,P,95,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +3,1,8435,3,2,7,3,39,3,-0.56,66,Y,-1.53,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +7,8,8438,7,2,7,3,39,3,0.48,69,Y,0.58,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +2,1,8472,2,1,3,4,31,3,-1.05,57,Y,-1.37,F,7,P,96,1,3,-50,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,631.578933,e 580-640,e 580-640,0.99291503,3 +3,4,8503,4,1,7,2,33.7,3,-0.44,58,Y,-0.36,P,2,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,674.2105101,f 640-700,f 640-700,0.99291503,3 +1,2,8509,2,2,7,1,33.5,3,-1.25,61,Y,-1.3,P,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.0526155,f 640-700,f 640-700,0.99291503,3 +6,8,8515,6,1,7,1,40,3,0.27,66,Y,0.69,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +4,3,8529,4,1,7,3,35,3,-0.31,52,Y,-0.67,F,7,F,95,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,7,8548,6,1,5,2,30,3,0.16,67,Y,0.43,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,615.78946,e 580-640,e 580-640,0.99291503,3 +4,4,8557,4,1,6,3,29,3,-0.29,65,Y,-0.42,P,7,P,94,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +1,1,8576,1,1,3,4,22.5,3,-1.95,65,Y,-2.65,F,2,F,95,1,2,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,497.3684125,c 460-520,c 460-520,0.99291503,3 +6,8,8578,6,2,7,1,41,3,0.16,60,Y,0.67,P,7,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +10,10,8629,10,1,7,1,36,3,1.96,69,Y,1.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +4,4,8632,5,2,2,2,28,3,-0.27,68,Y,-0.57,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,584.210514,e 580-640,e 580-640,0.99291503,3 +7,5,8639,7,1,7,3,33,3,0.4,65,Y,-0.06,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +9,9,8664,9,2,7,4,46,3,1.14,68,Y,1.07,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,868.421028,g 700+,i 820+,0.99291503,3 +3,5,8687,3,1,7,3,36,3,-0.56,68,Y,-0.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +10,9,8697,10,2,7,4,42,3,1.52,66,Y,1.14,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +1,2,8717,2,2,7,1,35,3,-1.18,63,Y,-1.23,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +2,1,8724,3,2,7,2,36,3,-0.81,69,Y,-1.47,P,2,P,95,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +6,7,8728,6,2,7,4,38.5,3,0.17,67,Y,0.5,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,749.9999805,g 700+,g 700-760,0.99291503,3 +1,1,8747,1,2,7,3,29.3,3,-1.62,67,Y,-2,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.7368289,e 580-640,e 580-640,0.99291503,3 +9,10,8774,9,1,7,3,38,3,1.24,69,Y,1.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,3,8783,2,1,3,1,29,3,-1.08,69,Y,-0.68,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +5,3,8833,5,2,7,3,38.5,3,-0.08,69,Y,-0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.9999805,g 700+,g 700-760,0.99291503,3 +6,4,8841,6,2,8,5,44,3,0.12,69,Y,-0.44,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,836.842082,g 700+,i 820+,0.99291503,3 +1,1,8871,2,2,7,3,32,3,-1.15,65,Y,-1.49,F,7,P,95,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +2,2,8888,3,2,3,4,19,3,-0.8,65,Y,-1.09,F,7,F,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,442.105257,b 400-460,b 400-460,0.99291503,3 +3,5,8915,4,2,1,2,33,3,-0.48,68,Y,-0.19,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +7,9,8924,8,1,7,6,32,3,0.56,69,Y,1.01,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,647.368406,f 640-700,f 640-700,0.99291503,3 +2,3,8931,2,1,7,4,40,3,-1.09,56,Y,-0.65,P,7,P,94,1,5,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +7,5,8949,7,2,7,4,33,3,0.32,52,Y,-0.09,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +4,4,8956,4,1,7,4,36,3,-0.34,67,Y,-0.49,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +2,4,8960,3,2,7,3,35,3,-0.8,56,Y,-0.3,P,2,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,1,8978,1,2,7,1,40,3,-1.53,70,Y,-2.1,F,7,F,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,773.68419,g 700+,h 760-820,0.99291503,3 +10,10,8997,10,1,7,3,40,3,1.76,63,Y,2.17,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +4,2,9008,4,2,7,1,40,3,-0.41,69,Y,-0.96,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +,,9014,8,2,2,1,40,3,0.78,65,Y,,P,2,P,96,1,3,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +3,1,9024,3,2,4,4,39,3,-0.56,66,Y,-1.57,P,7,P,94,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +6,6,9037,6,2,6,2,31,3,0.16,66,Y,0,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +8,8,9044,8,2,7,3,30.5,3,0.69,54,Y,0.77,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +1,1,9050,1,1,3,4,38,3,-1.3,67,Y,-1.38,P,2,P,96,1,2,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +8,6,9101,8,1,7,4,32,3,0.85,65,Y,0.15,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,647.368406,f 640-700,f 640-700,0.99291503,3 +3,3,9113,3,1,7,2,33,3,-0.72,68,Y,-0.9,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +8,8,9115,8,1,7,3,35,3,0.68,69,Y,0.82,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +9,9,9150,9,2,7,1,41,3,1.09,69,Y,1.1,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +3,2,9212,3,2,7,1,40,3,-0.57,67,Y,-1.13,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +10,8,9226,10,1,7,4,44,3,1.43,66,Y,0.75,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +6,9,9262,6,2,7,3,39,3,0.24,55,Y,0.97,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +7,6,9283,7,1,7,3,36,3,0.37,64,Y,0.25,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +1,2,9310,1,2,7,4,36.5,3,-1.54,67,Y,-0.89,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.4210345,g 700+,g 700-760,0.99291503,3 +7,6,9346,8,1,2,3,37,3,0.56,67,Y,0.24,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +5,4,9363,5,1,7,1,42,3,-0.16,56,Y,-0.51,P,2,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +5,3,9388,5,1,7,1,38,3,-0.15,65,Y,-0.64,P,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +,,9400,,2,7,,22,3,0.8,67,Y,1.32,P,2,P,95,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,489.473676,c 460-520,c 460-520,0.99291503,3 +10,10,9404,10,1,7,1,46,3,1.42,66,Y,1.58,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +3,3,9408,4,1,2,2,30,3,-0.51,68,Y,-0.64,F,7,P,95,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,2,615.78946,e 580-640,e 580-640,0.99291503,3 +1,2,9417,1,1,7,3,29,3,-1.38,60,Y,-1.03,F,7,P,95,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +9,9,9422,9,2,3,2,33,3,0.86,61,Y,0.97,P,7,P,95,1,4,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +8,8,9437,8,2,7,2,35,3,0.69,63,Y,0.57,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +10,10,9444,10,1,7,1,33,3,2.3,66,Y,1.66,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +3,2,9460,3,1,7,1,38,3,-0.51,69,Y,-0.9,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +6,4,9479,6,2,7,3,36,3,0.19,65,Y,-0.41,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +10,10,9491,10,2,7,3,44,3,1.47,69,Y,1.54,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +5,2,9495,6,1,7,3,36.5,3,0.02,69,Y,-1.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.4210345,g 700+,g 700-760,0.99291503,3 +9,9,9510,9,1,7,4,39,3,0.88,61,Y,1.13,P,7,P,95,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +9,8,9522,9,1,7,4,42,3,1.08,62,Y,0.81,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +5,4,9523,6,2,7,1,41,3,0.05,66,Y,-0.34,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +,,9527,,1,7,5,37.5,3,,65,Y,,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,734.2105075,g 700+,g 700-760,0.99291503,3 +2,8,9532,2,2,7,3,34,3,-0.85,61,Y,0.73,P,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +1,2,9541,2,1,7,3,29,3,-1.23,68,Y,-1.3,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +10,10,9563,10,2,7,3,39,3,1.39,55,Y,1.35,P,7,P,95,2,2,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,8,9592,6,2,2,3,33,3,0.16,63,Y,0.59,P,7,P,94,1,3,-56,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +7,7,9618,7,2,7,3,36,3,0.45,65,Y,0.34,P,7,P,95,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +3,2,9625,3,1,7,1,27.5,3,-0.7,62,Y,-1.09,F,7,P,96,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,576.3157775,d 520-580,d 520-580,0.99291503,3 +4,5,9626,4,1,7,3,40,3,-0.32,69,Y,-0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +2,3,9649,2,1,7,1,34,3,-1.12,69,Y,-0.67,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,678.947352,f 640-700,f 640-700,0.99291503,3 +4,3,9655,5,2,7,1,28,3,-0.19,56,Y,-0.73,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,584.210514,e 580-640,e 580-640,0.99291503,3 +2,3,9657,3,1,4,6,24,3,-0.81,66,Y,-0.62,P,7,P,94,1,1,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,521.052622,d 520-580,d 520-580,0.99291503,3 +7,9,9678,7,1,7,5,38,3,0.39,68,Y,0.96,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,742.105244,g 700+,g 700-760,0.99291503,3 +3,4,9679,3,2,7,3,37,3,-0.63,69,Y,-0.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,4,9695,7,2,7,4,29,3,0.52,69,Y,-0.43,P,7,P,94,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,599.999987,e 580-640,e 580-640,0.99291503,3 +9,7,9699,9,1,7,1,36,3,1.06,67,Y,0.54,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +6,4,9703,6,1,7,3,38,3,0.15,68,Y,-0.36,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +8,3,9716,8,1,3,5,43,3,0.78,70,Y,-0.77,P,7,P,94,1,2,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,821.052609,g 700+,i 820+,0.99291503,3 +9,7,9744,9,2,7,4,30.7,3,0.92,67,Y,0.47,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,626.8420911,e 580-640,e 580-640,0.99291503,3 +1,1,9754,1,2,3,1,32,3,-1.77,59,Y,-2.07,F,7,P,95,1,4,-52,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +1,2,9768,2,2,7,3,37,3,-1.21,69,Y,-1.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +5,4,9776,5,1,6,4,41,3,-0.02,64,Y,-0.44,P,7,P,95,2,2,-57,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +9,8,9822,9,2,7,3,36,3,1.22,67,Y,0.79,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +4,5,9825,4,1,7,3,40,3,-0.31,66,Y,-0.26,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +7,7,9897,7,2,7,3,31,3,0.32,66,Y,0.34,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +3,3,9919,3,2,2,3,42,3,-0.59,69,Y,-0.83,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +10,10,9957,10,2,7,3,33,3,1.76,69,Y,2.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +1,2,9969,1,2,7,2,27.5,3,-1.34,68,Y,-1.17,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,576.3157775,d 520-580,d 520-580,0.99291503,3 +4,4,9986,4,2,7,3,36,3,-0.33,69,Y,-0.39,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +2,2,10014,2,2,7,4,45,3,-1.03,62,Y,-1.12,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,852.631555,g 700+,i 820+,0.99291503,3 +1,1,10043,1,2,7,3,38,3,-2.03,69,Y,-2.2,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,6,10051,7,1,8,1,38,3,0.35,60,Y,0.21,P,7,P,95,1,5,-53,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +8,7,10056,8,2,7,1,40,3,0.71,68,Y,0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +5,7,10087,5,2,7,6,37,3,-0.04,68,Y,0.39,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,726.315771,g 700+,g 700-760,0.99291503,3 +1,3,10093,1,2,7,2,33,3,-1.51,69,Y,-0.84,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +2,3,10101,2,2,7,3,31.3,3,-0.87,64,Y,-0.78,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,636.3157749,e 580-640,e 580-640,0.99291503,3 +1,1,10102,1,2,3,3,28.5,3,-1.35,67,Y,-1.67,F,7,F,94,1,1,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,592.1052505,e 580-640,e 580-640,0.99291503,3 +9,10,10127,9,1,7,1,37,3,1.26,46,Y,1.33,P,7,P,94,1,4,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +5,2,10137,5,1,7,1,32,3,-0.08,68,Y,-1,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +6,7,10182,6,2,7,4,42.5,3,0.19,66,Y,0.43,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,813.1578725,g 700+,h 760-820,0.99291503,3 +8,4,10200,8,2,7,3,36,3,0.76,69,Y,-0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +6,7,10201,6,2,7,3,41,3,0.16,66,Y,0.49,F,7,P,96,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +1,2,10216,1,2,7,2,19,3,-1.82,68,Y,-1.09,F,2,F,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,442.105257,b 400-460,b 400-460,0.99291503,3 +1,2,10219,1,2,4,3,31,3,-1.53,55,Y,-1.17,F,7,P,95,1,2,-48,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +10,10,10230,10,2,7,4,42,3,1.74,68,Y,1.66,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +2,4,10239,3,2,7,3,36,3,-0.8,67,Y,-0.48,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +4,3,10243,5,2,2,1,41,3,-0.2,64,Y,-0.87,P,7,P,94,1,3,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +1,1,10245,1,1,4,1,26.5,3,-1.54,69,Y,-1.59,P,7,P,94,1,1,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,560.5263045,d 520-580,d 520-580,0.99291503,3 +5,6,10251,5,2,7,3,27.7,3,-0.04,68,Y,0.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,579.4736721,d 520-580,d 520-580,0.99291503,3 +8,6,10267,8,2,7,2,34,3,0.65,69,Y,0.16,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +6,6,10270,6,1,7,3,35,3,0.21,68,Y,0.21,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,5,10276,6,2,7,1,43,3,0.12,68,Y,-0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +9,9,10286,9,2,7,3,41,3,1.17,69,Y,0.92,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +8,8,10288,8,1,7,3,43,3,0.6,61,Y,0.84,P,7,P,94,1,1,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +3,5,10303,3,1,7,4,33,3,-0.73,57,Y,-0.12,F,7,F,95,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +5,5,10308,5,2,7,3,30.7,3,-0.15,65,Y,-0.14,F,7,F,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,626.8420911,e 580-640,e 580-640,0.99291503,3 +8,8,10319,8,2,7,3,39,3,0.73,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +9,10,10325,9,1,7,1,43,3,1.05,66,Y,1.3,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +2,1,10333,2,1,6,1,21,3,-0.96,68,Y,-1.62,F,2,F,95,1,3,-66,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,473.684203,c 460-520,c 460-520,0.99291503,3 +1,1,10341,1,1,3,4,26,3,-1.7,68,Y,-1.45,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,552.631568,d 520-580,d 520-580,0.99291503,3 +3,4,10356,3,2,7,3,34,3,-0.53,69,Y,-0.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +8,8,10361,8,1,7,3,40,3,0.69,69,Y,0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +8,8,10420,8,2,7,3,36,3,0.71,68,Y,0.57,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +9,9,10477,9,1,7,3,43,3,0.91,61,Y,1.12,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +2,2,10479,3,1,7,1,39,3,-0.82,69,Y,-0.95,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +8,5,10516,8,2,7,3,45,3,0.64,67,Y,-0.27,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,852.631555,g 700+,i 820+,0.99291503,3 +1,1,10529,2,1,7,1,42,3,-1.22,67,Y,-1.8,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +4,5,10538,5,2,7,4,37,3,-0.24,66,Y,-0.08,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +6,7,10580,6,2,7,3,33,3,0.21,65,Y,0.27,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +3,3,10585,3,2,7,3,29.3,3,-0.69,67,Y,-0.8,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.7368289,e 580-640,e 580-640,0.99291503,3 +7,4,10623,7,2,7,3,31.5,3,0.35,69,Y,-0.4,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +3,3,10660,3,1,7,1,41,3,-0.54,61,Y,-0.7,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +5,8,10665,6,2,7,1,43,3,0.06,68,Y,0.78,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +10,9,10667,10,2,7,2,36,3,1.27,52,Y,1.12,P,7,P,94,1,2,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +4,3,10671,4,2,7,1,44,3,-0.25,67,Y,-0.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +10,10,10672,10,1,7,2,41,3,2.18,64,Y,1.97,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,789.473663,g 700+,h 760-820,0.99291503,3 +7,6,10674,7,1,7,3,38,3,0.47,68,Y,0.13,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +10,9,10696,10,2,7,4,43.5,3,1.36,68,Y,1.22,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,828.9473455,g 700+,i 820+,0.99291503,3 +1,2,10769,2,1,3,6,24,3,-1.22,44,Y,-1.24,F,7,P,95,,3,-37,female,,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,521.052622,d 520-580,d 520-580,0.99291503,3 +3,4,10777,4,2,7,3,39,3,-0.48,68,Y,-0.37,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,10784,1,2,2,3,30.5,3,-1.77,57,Y,-1.9,P,2,P,95,1,3,-55,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +5,4,10816,5,1,3,3,29.5,3,-0.1,62,Y,-0.53,P,7,P,94,1,3,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,607.8947235,e 580-640,e 580-640,0.99291503,3 +5,5,10819,6,2,7,2,35,3,0.02,65,Y,-0.31,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +6,7,10842,6,1,7,1,38,3,0.23,67,Y,0.32,P,2,P,94,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,2,10846,1,1,7,3,35.7,3,-1.72,68,Y,-1.14,F,7,P,96,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,705.7894561,g 700+,g 700-760,0.99291503,3 +2,1,10853,2,2,4,1,22,3,-1,67,Y,-2.05,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,489.473676,c 460-520,c 460-520,0.99291503,3 +4,3,10882,4,1,7,3,39,3,-0.42,66,Y,-0.81,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,5,10901,6,2,7,3,40.5,3,0.07,69,Y,-0.04,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,781.5789265,g 700+,h 760-820,0.99291503,3 +1,1,10915,2,1,8,4,36,3,-1.17,69,Y,-2.34,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +3,5,10926,3,2,6,3,38,3,-0.6,69,Y,-0.27,F,7,P,96,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +8,8,10932,8,1,7,3,39,3,0.59,69,Y,0.66,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +2,3,10953,3,1,7,3,32,3,-0.72,68,Y,-0.84,F,7,F,94,1,,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +5,7,10965,5,1,7,4,35.5,3,-0.14,69,Y,0.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,702.6315615,g 700+,g 700-760,0.99291503,3 +5,5,10967,5,2,7,1,40,3,-0.07,49,Y,-0.06,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +,,10989,,2,1,5,42,3,,67,Y,,P,7,P,94,1,2,-60,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +10,10,11012,10,2,7,3,36,3,1.53,66,Y,1.75,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +9,9,11019,9,2,7,1,35,3,1.19,68,Y,1.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +3,3,11033,3,1,7,4,36,3,-0.62,50,Y,-0.68,P,7,P,95,2,5,-43,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +5,3,11050,5,1,7,1,41,3,-0.07,66,Y,-0.84,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +2,1,11063,2,1,3,4,31,3,-1.16,66,Y,-1.71,P,7,P,94,1,1,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,631.578933,e 580-640,e 580-640,0.99291503,3 +2,1,11064,3,2,7,1,37,3,-0.8,69,Y,-1.35,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +8,9,11068,8,1,2,3,36.5,3,0.62,67,Y,0.94,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,718.4210345,g 700+,g 700-760,0.99291503,3 +4,8,11071,5,2,7,1,47,3,-0.18,63,Y,0.83,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,884.210501,g 700+,i 820+,0.99291503,3 +4,7,11086,5,1,7,3,36,3,-0.18,65,Y,0.28,P,2,P,96,2,4,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +8,7,11156,8,1,7,3,36.5,3,0.67,63,Y,0.37,P,2,P,95,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.4210345,g 700+,g 700-760,0.99291503,3 +10,10,11162,10,2,7,3,36,3,1.42,61,Y,2.05,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +3,3,11166,3,2,7,4,37,3,-0.61,65,Y,-0.85,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +4,6,11190,4,2,7,3,37,3,-0.35,51,Y,0.15,P,7,P,94,1,2,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,1,11198,2,1,7,3,33,3,-1.02,67,Y,-1.35,P,2,P,95,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +3,3,11215,3,1,3,4,28,3,-0.7,68,Y,-0.65,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,584.210514,e 580-640,e 580-640,0.99291503,3 +2,2,11218,2,2,6,3,27,3,-0.94,69,Y,-1.05,P,7,P,94,1,,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,568.421041,d 520-580,d 520-580,0.99291503,3 +6,3,11231,6,1,7,2,32,3,0.07,60,Y,-0.86,F,7,P,95,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +,,11236,,2,2,5,42,3,,68,Y,,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +1,1,11238,1,1,7,1,37,3,-1.3,68,Y,-2.15,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +6,4,11241,6,2,7,1,33,3,0.14,67,Y,-0.48,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +6,4,11257,6,2,7,1,42,3,0.16,68,Y,-0.34,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +5,5,11267,5,1,7,3,35,3,-0.09,66,Y,-0.03,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,8,11269,8,2,7,1,39,3,0.68,65,Y,0.66,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +9,9,11292,9,1,7,3,36,3,1.16,68,Y,1.11,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +4,4,11326,4,2,7,1,40,3,-0.41,69,Y,-0.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +2,2,11327,2,1,7,2,28.5,3,-1.01,45,Y,-1.04,F,7,F,94,1,3,-38,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,592.1052505,e 580-640,e 580-640,0.99291503,3 +1,2,11337,1,1,7,1,35,3,-1.43,67,Y,-1.03,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +7,8,11348,7,1,7,3,33,3,0.32,69,Y,0.59,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +1,3,11371,1,1,7,3,35,3,-1.59,69,Y,-0.86,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,1,11372,2,2,7,1,37,3,-1.15,53,Y,-1.86,P,7,P,94,1,4,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +6,10,11391,6,1,4,2,26.5,3,0.12,65,Y,1.33,P,2,P,95,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,560.5263045,d 520-580,d 520-580,0.99291503,3 +1,1,11447,1,1,2,4,37.5,3,-1.42,67,Y,-1.46,P,7,P,94,2,4,-60,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,734.2105075,g 700+,g 700-760,0.99291503,3 +10,10,11449,10,1,8,3,35,3,1.44,64,Y,1.73,P,7,P,94,1,4,-57,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +5,3,11459,6,2,7,3,40,3,0,67,Y,-0.58,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +9,6,11465,9,1,7,1,42,3,1.01,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +8,5,11470,8,1,7,3,34,3,0.6,69,Y,-0.14,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +2,3,11484,3,1,4,1,38,3,-0.78,69,Y,-0.7,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +5,4,11528,5,2,6,2,24.5,3,-0.05,69,Y,-0.48,F,7,P,95,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,528.9473585,d 520-580,d 520-580,0.99291503,3 +1,1,11550,1,2,3,1,28,3,-1.85,69,Y,-2.15,P,7,P,95,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,584.210514,e 580-640,e 580-640,0.99291503,3 +9,8,11552,9,1,7,1,45,3,1.08,63,Y,0.81,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +1,1,11566,1,2,7,2,28,3,-1.88,63,Y,-1.41,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,584.210514,e 580-640,e 580-640,0.99291503,3 +6,4,11648,6,1,7,3,32,3,0.09,69,Y,-0.41,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +3,2,11657,4,2,7,3,28,3,-0.43,68,Y,-1.09,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,584.210514,e 580-640,e 580-640,0.99291503,3 +9,9,11661,9,2,7,3,34,3,0.96,68,Y,1.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +5,8,11674,5,2,7,1,43,3,0.03,67,Y,0.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +5,6,11680,5,2,7,4,36,3,-0.03,55,Y,0.23,P,7,P,94,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +1,2,11684,2,1,4,1,26,3,-1.27,69,Y,-1.28,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,552.631568,d 520-580,d 520-580,0.99291503,3 +,,11694,4,1,7,5,40,3,-0.29,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +3,3,11735,3,2,7,1,38,3,-0.73,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,11736,1,2,7,4,46,3,-1.27,54,Y,-2.15,F,2,F,95,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,868.421028,g 700+,i 820+,0.99291503,3 +10,7,11738,10,1,7,1,48,3,1.57,63,Y,0.46,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,899.999974,g 700+,i 820+,0.99291503,3 +,,11784,,1,7,6,35,3,,47,Y,,P,7,P,94,1,2,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,694.736825,f 640-700,f 640-700,0.99291503,3 +10,10,11840,10,2,7,3,40,3,1.84,57,Y,1.82,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,11851,1,2,3,1,33,3,-1.72,64,Y,-2.04,F,7,P,95,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +8,9,11882,8,1,7,3,34,3,0.74,69,Y,0.95,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +2,1,11933,2,1,3,1,26,3,-1.02,70,Y,-1.48,F,7,F,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,552.631568,d 520-580,d 520-580,0.99291503,3 +2,3,11939,3,1,7,3,34,3,-0.74,69,Y,-0.7,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +5,4,11990,5,2,7,4,36,3,-0.1,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +5,5,11995,5,2,7,5,36,3,-0.03,56,Y,-0.21,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,710.526298,g 700+,g 700-760,0.99291503,3 +9,8,12013,9,2,7,1,44,3,0.99,64,Y,0.65,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +4,4,12043,5,1,7,3,27,3,-0.21,69,Y,-0.36,P,7,P,94,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,568.421041,d 520-580,d 520-580,0.99291503,3 +6,7,12047,6,2,7,2,35,3,0.15,69,Y,0.53,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +10,10,12056,10,2,7,3,38,3,1.62,56,Y,1.56,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,7,12102,7,2,7,2,35,3,0.35,62,Y,0.31,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +7,7,12128,7,1,7,2,43,3,0.39,64,Y,0.26,P,2,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,821.052609,g 700+,i 820+,0.99291503,3 +7,4,12132,7,2,7,3,36,3,0.4,68,Y,-0.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +4,5,12140,4,2,7,2,35,3,-0.38,69,Y,-0.27,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +5,8,12149,6,2,7,3,31,3,0,60,Y,0.81,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +8,6,12190,8,2,7,3,38,3,0.7,69,Y,0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +4,4,12213,4,2,7,1,41,3,-0.39,65,Y,-0.3,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +4,3,12215,5,1,7,3,38,3,-0.22,68,Y,-0.61,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,3,12220,3,2,7,3,32,3,-0.78,69,Y,-0.63,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +1,1,12238,1,1,7,1,39,3,-1.41,69,Y,-1.35,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +6,7,12270,6,1,7,3,33,3,0.07,69,Y,0.32,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +9,10,12280,9,2,7,3,44,3,1.1,65,Y,1.39,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +,,12287,,1,7,1,45,3,,52,Y,0.62,P,7,P,95,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +2,1,12296,2,1,7,3,27,3,-0.97,68,Y,-1.58,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,568.421041,d 520-580,d 520-580,0.99291503,3 +2,7,12304,3,1,7,3,35,3,-0.78,54,Y,0.27,P,7,P,95,2,4,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,5,12305,7,1,7,4,41,3,0.27,69,Y,-0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +10,10,12325,10,2,7,3,41,3,1.66,60,Y,1.55,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +1,2,12370,2,2,7,3,32,3,-1.12,67,Y,-1.29,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +1,1,12375,1,1,7,3,30.5,3,-1.62,68,Y,-1.68,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +8,7,12380,8,2,3,6,23,3,0.79,67,Y,0.29,P,7,P,94,1,1,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,505.263149,c 460-520,c 460-520,0.99291503,3 +5,3,12382,5,1,7,3,33,3,-0.07,69,Y,-0.65,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +1,1,12387,1,1,8,3,26,3,-1.4,69,Y,-1.6,F,7,P,95,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,552.631568,d 520-580,d 520-580,0.99291503,3 +1,5,12431,1,2,8,3,38,3,-1.64,67,Y,-0.27,P,7,P,94,1,3,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,5,12437,7,2,7,3,29.3,3,0.41,68,Y,-0.28,P,7,P,94,,1,-61,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.7368289,e 580-640,e 580-640,0.99291503,3 +8,5,12438,9,2,7,3,31,3,0.83,62,Y,-0.04,P,2,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +9,8,12445,9,2,7,6,37,3,0.94,55,Y,0.74,P,7,P,95,2,4,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,726.315771,g 700+,g 700-760,0.99291503,3 +5,6,12449,5,1,7,3,31,3,-0.03,68,Y,0.16,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +10,10,12469,10,2,7,3,37,3,1.72,69,Y,2.2,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,1,12565,3,1,7,2,36,3,-0.81,69,Y,-1.61,F,2,F,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,710.526298,g 700+,g 700-760,0.99291503,3 +2,2,12590,3,1,7,2,31,3,-0.85,69,Y,-1.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +9,9,12598,9,1,7,2,38,3,1.15,62,Y,0.88,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,742.105244,g 700+,g 700-760,0.99291503,3 +9,9,12614,9,1,7,3,37,3,1.15,67,Y,1.22,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +3,3,12631,3,1,3,1,36,3,-0.56,65,Y,-0.8,P,7,P,94,1,1,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +3,1,12680,3,2,7,4,35,3,-0.69,66,Y,-1.5,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +9,9,12684,9,1,7,4,40,3,0.94,67,Y,1.04,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +10,9,12760,10,2,7,2,41,3,1.28,68,Y,1.05,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,789.473663,g 700+,h 760-820,0.99291503,3 +4,2,12785,4,1,7,1,43,3,-0.4,69,Y,-1.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +1,1,12786,1,2,7,3,31.3,3,-2.13,66,Y,-2.21,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,636.3157749,e 580-640,e 580-640,0.99291503,3 +2,2,12793,2,2,7,4,39,3,-1.07,68,Y,-1.17,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,12816,1,2,3,5,33,3,-1.77,66,Y,-1.89,F,7,P,95,1,4,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,663.157879,f 640-700,f 640-700,0.99291503,3 +8,8,12818,8,2,7,1,43,3,0.64,68,Y,0.65,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +1,1,12830,1,1,5,5,36,3,-2.15,66,Y,-1.45,P,7,P,94,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,710.526298,g 700+,g 700-760,0.99291503,3 +5,5,12843,5,1,7,1,46,3,-0.11,67,Y,-0.12,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +6,7,12846,6,1,7,3,38,3,0.13,64,Y,0.27,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,12849,1,2,7,3,30,3,-1.48,69,Y,-1.78,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +3,2,12855,4,1,7,3,42,3,-0.46,67,Y,-1.06,F,7,P,95,1,1,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +10,9,12876,10,2,7,3,38,3,1.3,67,Y,1.13,P,2,P,94,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +3,4,12878,4,2,6,4,38,3,-0.47,66,Y,-0.26,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +4,3,12903,5,1,7,1,37,3,-0.2,69,Y,-0.56,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +,,12910,,1,7,5,40,3,,65,Y,,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +10,10,12912,10,1,7,1,41,3,1.8,62,Y,1.6,P,2,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +6,5,12923,6,1,4,1,35,3,0.15,69,Y,-0.22,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +5,5,12931,5,1,7,3,34.5,3,-0.03,62,Y,-0.26,P,7,P,94,1,5,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.8420885,f 640-700,f 640-700,0.99291503,3 +7,8,12951,7,2,7,3,34,3,0.43,65,Y,0.82,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +7,6,12964,7,2,7,3,38,3,0.31,60,Y,0.04,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +8,9,12987,8,2,5,1,38,3,0.78,68,Y,1.17,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,12988,1,2,6,3,30.5,3,-1.52,60,Y,-2.01,F,7,P,95,1,2,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +1,1,13025,1,1,3,5,33,3,-3.14,69,Y,-2.42,F,2,F,95,1,,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,6,663.157879,f 640-700,f 640-700,0.99291503,3 +9,9,13037,9,1,7,3,37,3,1.05,65,Y,0.91,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +1,1,13038,1,1,8,3,35.5,3,-1.73,68,Y,-1.91,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,702.6315615,g 700+,g 700-760,0.99291503,3 +7,8,13041,7,2,7,3,37,3,0.51,69,Y,0.63,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +3,3,13059,3,2,2,4,37,3,-0.69,69,Y,-0.75,P,7,P,94,1,2,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +5,9,13097,6,1,7,3,39,3,0,68,Y,0.91,P,7,P,94,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,5,13098,6,1,7,2,37,3,0.19,69,Y,-0.14,P,,P,,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,726.315771,g 700+,g 700-760,0.99291503,3 +5,3,13115,5,2,7,3,40,3,-0.03,64,Y,-0.73,P,2,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +2,3,13129,2,1,8,4,31.5,3,-1.07,68,Y,-0.62,F,7,P,95,1,1,-61,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,639.4736695,e 580-640,e 580-640,0.99291503,3 +7,6,13143,7,2,1,4,41,3,0.42,63,Y,0.21,P,7,P,94,2,1,-56,male,1,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +9,9,13186,9,1,7,3,42,3,1.08,65,Y,1.25,P,6,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +6,5,13187,6,2,7,3,34,3,0.07,67,Y,-0.08,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +10,10,13193,10,2,7,1,42,3,1.46,69,Y,1.5,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +,,13208,6,1,7,3,34.5,3,0.01,68,Y,,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.8420885,f 640-700,f 640-700,0.99291503,3 +,,13223,7,1,7,5,46,3,0.52,63,Y,,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,868.421028,g 700+,i 820+,0.99291503,3 +4,6,13227,4,1,7,1,33,3,-0.39,65,Y,0.08,P,2,P,95,2,3,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +7,7,13240,8,1,7,3,38,3,0.55,67,Y,0.47,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +4,4,13246,4,1,7,3,44,3,-0.27,67,Y,-0.5,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +8,9,13260,9,2,7,1,35,3,0.88,67,Y,1.13,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +1,2,13272,1,1,2,2,32,3,-1.37,68,Y,-1.23,F,7,P,96,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +7,7,13275,7,1,7,3,34,3,0.4,69,Y,0.4,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +7,8,13279,7,2,7,4,37,3,0.47,69,Y,0.57,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +9,9,13282,9,1,7,4,36.5,3,1.27,53,Y,0.9,P,7,P,95,2,2,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.4210345,g 700+,g 700-760,0.99291503,3 +8,6,13289,8,1,7,1,35.5,3,0.76,61,Y,0.23,F,7,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,702.6315615,g 700+,g 700-760,0.99291503,3 +7,6,13301,7,2,7,3,40,3,0.42,66,Y,0.15,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +4,2,13302,4,1,7,3,39,3,-0.3,67,Y,-0.92,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +1,5,13310,1,1,1,1,29,3,-2.84,64,Y,-0.17,P,2,P,96,2,2,-62,female,1,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +6,6,13324,6,1,7,3,38,3,0.19,70,Y,0.02,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,13335,2,1,7,3,29,3,-1.13,69,Y,-1.75,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +2,2,13370,2,1,7,3,31.5,3,-0.88,68,Y,-1.31,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +3,2,13398,4,2,7,1,36,3,-0.5,68,Y,-1.34,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +3,4,13404,3,2,4,5,37,3,-0.54,67,Y,-0.41,P,2,P,94,1,4,-65,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,726.315771,g 700+,g 700-760,0.99291503,3 +7,8,13433,7,2,7,2,32,3,0.44,67,Y,0.82,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +4,6,13452,4,1,7,3,37,3,-0.3,68,Y,0.14,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +8,7,13461,8,1,7,3,42,3,0.71,68,Y,0.4,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +1,2,13462,2,1,7,4,41,3,-1.22,68,Y,-1.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +4,5,13484,5,1,7,2,32.5,3,-0.28,66,Y,-0.27,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.2631425,f 640-700,f 640-700,0.99291503,3 +6,6,13486,6,1,7,1,35,3,0.16,59,Y,0.06,F,7,P,95,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +8,7,13524,8,1,7,1,32,3,0.68,60,Y,0.46,P,7,P,95,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +7,9,13536,7,2,7,3,33.5,3,0.39,64,Y,0.91,P,2,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.0526155,f 640-700,f 640-700,0.99291503,3 +8,6,13545,8,2,7,4,35,3,0.69,69,Y,0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +4,3,13582,4,2,7,3,32,3,-0.33,60,Y,-0.71,F,7,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +5,2,13594,5,2,7,3,39,3,-0.12,69,Y,-1.27,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +3,2,13617,3,1,8,1,35,3,-0.64,69,Y,-1.33,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +6,5,13638,6,2,7,1,28.5,3,0.25,53,Y,-0.16,P,2,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,592.1052505,e 580-640,e 580-640,0.99291503,3 +5,5,13639,5,2,7,4,40,3,-0.1,61,Y,-0.11,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +7,10,13644,7,1,7,3,32.7,3,0.51,66,Y,1.58,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,658.4210371,f 640-700,f 640-700,0.99291503,3 +7,8,13654,7,2,7,2,31,3,0.33,65,Y,0.61,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +1,2,13665,1,2,3,4,33,3,-1.3,69,Y,-1.01,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +8,7,13668,8,2,7,1,38,3,0.66,69,Y,0.38,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +6,4,13669,6,2,2,4,31,3,0.21,66,Y,-0.34,F,7,P,95,1,2,-59,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,631.578933,e 580-640,e 580-640,0.99291503,3 +3,1,13678,4,1,3,3,32,3,-0.45,67,Y,-1.4,F,7,P,95,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +9,9,13679,9,2,7,2,32,3,0.96,65,Y,1,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +,,13687,,1,2,5,26.5,3,,66,Y,,F,7,P,95,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,6,560.5263045,d 520-580,d 520-580,0.99291503,3 +10,9,13714,10,2,7,1,41,3,1.66,65,Y,1.28,P,7,P,94,1,,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +3,1,13729,3,1,7,4,35,3,-0.62,60,Y,-1.45,P,7,P,95,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +8,9,13737,8,1,7,6,30.5,3,0.77,68,Y,0.94,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,623.6841965,e 580-640,e 580-640,0.99291503,3 +3,7,13747,4,2,7,1,33,3,-0.45,52,Y,0.34,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +2,7,13748,2,1,7,3,37,3,-0.94,68,Y,0.43,P,7,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,2,13753,3,2,7,3,35,3,-0.72,66,Y,-1.08,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,2,13754,1,2,7,3,41,3,-1.45,63,Y,-1.3,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +2,2,13775,2,2,4,4,40,3,-0.97,66,Y,-1.1,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +8,9,13778,8,2,7,2,34,3,0.67,69,Y,1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +7,6,13786,7,1,7,3,34,3,0.39,65,Y,0.23,P,2,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +3,4,13789,3,2,7,2,32.5,3,-0.56,64,Y,-0.38,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.2631425,f 640-700,f 640-700,0.99291503,3 +1,1,13821,1,1,3,3,22.5,3,-1.39,67,Y,-1.95,F,2,P,95,1,4,-65,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,497.3684125,c 460-520,c 460-520,0.99291503,3 +4,5,13830,4,2,7,1,40,3,-0.28,69,Y,-0.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,13848,1,1,5,4,37,3,-1.37,69,Y,-1.81,P,7,P,94,1,,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +3,2,13887,3,2,7,3,39,3,-0.62,55,Y,-1.07,P,2,P,95,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +4,4,13892,4,1,3,3,33,3,-0.33,61,Y,-0.49,F,7,F,94,1,4,-54,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +1,1,13905,1,2,5,3,29,3,-2.11,67,Y,-1.56,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +7,9,13907,7,2,7,1,45,3,0.54,64,Y,1.14,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +2,3,13909,2,1,1,1,31,3,-0.88,68,Y,-0.55,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +2,2,13934,3,1,7,3,33,3,-0.75,62,Y,-1.29,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +6,5,13938,6,1,7,2,31,3,0.08,67,Y,-0.07,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +8,9,13946,8,1,7,3,43,3,0.58,69,Y,0.88,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +2,3,13960,2,1,7,3,27,3,-1.07,53,Y,-0.84,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,568.421041,d 520-580,d 520-580,0.99291503,3 +3,2,13961,3,2,8,3,32,3,-0.63,69,Y,-1.16,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +7,8,14021,7,1,7,3,32,3,0.35,65,Y,0.78,P,7,P,94,1,5,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +4,9,14054,4,2,7,1,47,3,-0.34,59,Y,0.89,P,7,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,884.210501,g 700+,i 820+,0.99291503,3 +3,4,14056,3,1,7,5,39,3,-0.56,63,Y,-0.36,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,757.894717,g 700+,g 700-760,0.99291503,3 +4,3,14059,4,2,7,4,41,3,-0.4,69,Y,-0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +3,4,14065,3,1,7,3,35,3,-0.63,69,Y,-0.55,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,6,14070,2,1,7,3,38,3,-1.23,69,Y,0.08,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,5,14076,2,1,7,2,27,3,-0.94,69,Y,-0.08,P,7,P,94,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,568.421041,d 520-580,d 520-580,0.99291503,3 +,,14095,,1,7,3,36,3,,51,Y,,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +10,10,14109,10,1,7,1,38,3,2.35,65,Y,2.71,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +5,9,14126,6,1,7,6,35,3,0.05,63,Y,1.15,F,7,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,694.736825,f 640-700,f 640-700,0.99291503,3 +3,2,14151,3,2,7,3,35,3,-0.61,68,Y,-1.01,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +10,8,14159,10,2,7,2,30.5,3,1.65,66,Y,0.65,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.6841965,e 580-640,e 580-640,0.99291503,3 +10,10,14174,10,2,7,1,35,3,1.74,59,Y,2.19,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +,,14200,,2,7,4,41,3,,63,Y,,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +7,8,14205,8,1,7,4,33,3,0.56,65,Y,0.6,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +3,4,14209,3,1,7,1,35,3,-0.6,46,Y,-0.34,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +6,7,14214,6,2,2,5,40,3,0.2,68,Y,0.39,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,14258,1,2,7,2,29.5,3,-1.64,68,Y,-1.36,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.8947235,e 580-640,e 580-640,0.99291503,3 +9,6,14276,9,2,7,3,38,3,0.92,68,Y,-0.01,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,2,14279,2,2,7,3,42,3,-1.04,69,Y,-1.3,P,2,P,95,1,1,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +10,10,14291,10,2,7,2,35,3,2.58,68,Y,2.65,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +9,8,14307,9,2,7,3,44,3,0.92,69,Y,0.64,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +,,14336,8,1,7,3,37,3,0.79,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,6,14426,2,2,7,2,32,3,-1.04,66,Y,-0.03,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +2,1,14446,2,1,7,3,35,3,-1.01,69,Y,-1.48,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,1,14459,1,2,7,3,34,3,-2.22,60,Y,-1.93,F,7,P,96,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +8,5,14463,8,2,2,4,35,3,0.78,68,Y,-0.16,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +5,1,14468,5,2,7,1,38,3,-0.09,64,Y,-1.52,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +4,3,14480,4,2,7,2,33,3,-0.41,67,Y,-0.81,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +10,10,14483,10,2,7,1,41,3,1.45,67,Y,1.46,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +10,10,14484,10,1,7,3,47,3,1.89,66,Y,1.79,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,884.210501,g 700+,i 820+,0.99291503,3 +9,10,14486,9,2,7,3,42,3,1.02,67,Y,1.39,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +2,1,14543,2,2,7,1,36,3,-1.14,69,Y,-2.29,F,2,F,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,710.526298,g 700+,g 700-760,0.99291503,3 +2,2,14548,2,2,1,1,22,3,-1.1,62,Y,-1.24,F,7,P,95,1,1,-55,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,4,489.473676,c 460-520,c 460-520,0.99291503,3 +2,6,14553,3,1,7,3,33,3,-0.79,68,Y,0.13,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +3,2,14562,3,2,7,1,41.5,3,-0.62,67,Y,-1.09,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,797.3683995,g 700+,h 760-820,0.99291503,3 +9,9,14565,9,1,7,3,35,3,1.05,69,Y,1.05,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +9,10,14574,9,1,7,3,32,3,1.1,60,Y,1.37,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +5,6,14584,5,2,7,3,32,3,-0.03,67,Y,0.08,P,6,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +5,6,14594,5,1,7,3,39,3,-0.13,68,Y,0.17,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +4,6,14609,4,1,7,3,33,3,-0.26,61,Y,0.13,P,2,P,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +2,1,14611,2,2,7,4,37.5,3,-0.95,66,Y,-1.51,F,7,P,96,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,734.2105075,g 700+,g 700-760,0.99291503,3 +7,7,14613,8,2,7,2,32.5,3,0.52,67,Y,0.32,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,655.2631425,f 640-700,f 640-700,0.99291503,3 +10,6,14624,10,2,7,3,33.5,3,1.33,68,Y,0.18,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.0526155,f 640-700,f 640-700,0.99291503,3 +2,3,14626,2,1,7,3,30.5,3,-1.09,69,Y,-0.56,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +5,5,14637,5,2,7,1,41,3,-0.11,67,Y,-0.16,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +7,8,14646,7,2,7,2,28.7,3,0.38,63,Y,0.6,P,7,P,95,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,595.2631451,e 580-640,e 580-640,0.99291503,3 +4,3,14676,4,2,7,4,42,3,-0.32,68,Y,-0.79,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +3,6,14683,4,1,7,3,40,3,-0.43,69,Y,0.02,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +10,9,14686,10,2,7,3,39,3,1.33,65,Y,1.09,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +7,6,14690,7,2,7,1,42,3,0.55,67,Y,0.06,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +10,8,14697,10,2,7,4,33,3,1.28,63,Y,0.68,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +8,9,14704,8,2,7,1,37,3,0.72,57,Y,1.14,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +7,7,14709,8,2,7,3,32,3,0.54,66,Y,0.4,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +3,2,14736,3,2,7,3,31.5,3,-0.52,68,Y,-0.9,P,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +1,2,14773,2,1,7,3,28.5,3,-1.28,,Y,-1.12,P,7,P,94,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,592.1052505,e 580-640,e 580-640,0.99291503,3 +3,2,14789,4,2,7,1,42,3,-0.45,69,Y,-1.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +9,8,14791,9,2,7,4,39,3,1.05,66,Y,0.7,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +3,5,14800,4,2,7,2,27,3,-0.52,69,Y,-0.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,568.421041,d 520-580,d 520-580,0.99291503,3 +8,9,14803,8,1,7,3,37.5,3,0.81,60,Y,0.91,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.2105075,g 700+,g 700-760,0.99291503,3 +9,9,14811,9,1,7,4,46,3,0.95,62,Y,1.2,P,2,P,95,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,868.421028,g 700+,i 820+,0.99291503,3 +4,5,14830,4,2,7,1,32,3,-0.38,70,Y,-0.19,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +1,3,14840,1,2,7,2,31,3,-1.53,68,Y,-0.79,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +8,8,14843,8,1,7,3,33,3,0.81,66,Y,0.82,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +2,1,14863,2,2,7,3,35,3,-0.87,67,Y,-1.54,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,5,14875,7,2,7,6,30.5,3,0.35,48,Y,-0.21,F,7,F,94,1,3,-41,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,623.6841965,e 580-640,e 580-640,0.99291503,3 +6,8,14914,6,1,7,3,38,3,0.15,69,Y,0.8,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +4,5,14920,4,2,7,4,40,3,-0.32,67,Y,-0.17,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +2,3,14947,2,1,2,3,27.5,3,-0.89,67,Y,-0.68,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,576.3157775,d 520-580,d 520-580,0.99291503,3 +1,3,14967,2,1,2,3,35,3,-1.18,52,Y,-0.73,P,7,P,94,1,4,-45,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +2,2,14971,3,1,3,1,42,3,-0.82,63,Y,-1.09,P,7,P,94,1,1,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +6,1,14974,6,2,7,2,28,3,0.13,70,Y,-1.43,F,7,F,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,584.210514,e 580-640,e 580-640,0.99291503,3 +4,6,14984,5,1,7,3,31.5,3,-0.17,69,Y,0.15,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +2,2,14985,2,2,7,3,30,3,-1.04,67,Y,-1.08,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +1,2,14992,1,1,7,3,35,3,-1.41,54,Y,-1.25,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,8,14996,8,2,7,3,37,3,0.77,66,Y,0.67,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +10,10,15022,10,2,7,1,39,3,1.35,68,Y,1.54,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +,,15053,3,2,7,3,36,3,-0.56,54,Y,,P,2,P,96,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +7,7,15056,7,1,7,1,40,3,0.53,68,Y,0.47,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,15057,1,2,7,1,36,3,-1.49,67,Y,-1.35,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +10,10,15155,10,2,7,4,48,3,2,57,Y,2.1,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,899.999974,g 700+,i 820+,0.99291503,3 +4,1,15156,4,2,7,4,33.5,3,-0.45,58,Y,-1.33,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,671.0526155,f 640-700,f 640-700,0.99291503,3 +7,5,15166,8,2,7,3,33,3,0.54,69,Y,-0.17,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +1,2,15202,1,2,7,3,31.5,3,-1.46,66,Y,-0.95,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +2,3,15226,2,2,7,3,31,3,-1.07,65,Y,-0.59,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +4,6,15237,4,2,7,1,42,3,-0.4,65,Y,0.07,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +5,6,15242,6,2,7,2,32,3,-0.01,67,Y,-0.01,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +6,7,15252,6,1,7,3,40,3,0.2,69,Y,0.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +5,3,15263,5,2,7,3,32,3,-0.07,65,Y,-0.79,F,2,P,96,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +6,6,15288,7,2,7,2,29,3,0.22,69,Y,-0.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,599.999987,e 580-640,e 580-640,0.99291503,3 +8,5,15307,8,2,7,3,36,3,0.81,68,Y,-0.09,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +3,2,15324,3,1,3,4,26,3,-0.65,69,Y,-1.23,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,552.631568,d 520-580,d 520-580,0.99291503,3 +2,1,15357,2,2,7,1,36,3,-0.99,62,Y,-1.4,F,2,F,96,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,710.526298,g 700+,g 700-760,0.99291503,3 +9,8,15363,9,2,7,1,45,3,1.03,65,Y,0.82,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +7,6,15378,7,2,7,3,44,3,0.31,62,Y,0.1,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +6,6,15380,6,2,7,3,44,3,0.12,63,Y,0.02,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +9,9,15397,9,1,7,3,43,3,0.89,51,Y,1.03,P,7,P,93,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +1,1,15398,1,2,7,3,35,3,-2.48,64,Y,-1.96,P,2,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,1,15419,2,2,7,1,36,3,-1.27,61,Y,-1.48,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +9,8,15429,9,2,7,3,41,3,1.13,68,Y,0.63,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +1,1,15436,1,2,4,1,30.5,3,-1.99,60,Y,-1.65,F,2,F,96,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,623.6841965,e 580-640,e 580-640,0.99291503,3 +6,5,15444,6,1,7,1,41,3,0.22,67,Y,-0.02,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +1,2,15483,1,1,2,4,38,3,-1.29,69,Y,-1.3,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +6,8,15487,6,1,7,3,35,3,0.12,68,Y,0.57,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,4,15498,2,2,7,1,20,3,-1.14,63,Y,-0.44,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,457.89473,b 400-460,b 400-460,0.99291503,3 +6,7,15508,6,1,7,3,45,3,0.24,67,Y,0.34,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,852.631555,g 700+,i 820+,0.99291503,3 +3,3,15509,3,2,7,2,33,3,-0.63,67,Y,-0.76,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +2,4,15532,3,1,7,2,32,3,-0.84,69,Y,-0.34,F,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +1,1,15538,1,1,3,1,32,3,-1.81,68,Y,-1.47,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +4,3,15568,5,1,7,1,35,3,-0.16,68,Y,-0.82,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +5,6,15588,6,1,7,3,36,3,0.05,61,Y,0.12,F,7,P,96,2,3,-54,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +7,5,15606,7,1,7,3,37,3,0.44,52,Y,-0.06,P,7,P,95,2,2,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,7,15627,7,2,7,4,43,3,0.54,66,Y,0.35,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,821.052609,g 700+,i 820+,0.99291503,3 +2,3,15636,2,1,3,3,28,3,-0.86,67,Y,-0.83,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,584.210514,e 580-640,e 580-640,0.99291503,3 +6,3,15637,6,2,7,4,31.5,3,0.06,69,Y,-0.61,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,639.4736695,e 580-640,e 580-640,0.99291503,3 +1,1,15643,2,1,3,1,30,3,-1.24,69,Y,-1.65,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,615.78946,e 580-640,e 580-640,0.99291503,3 +8,9,15676,8,2,2,1,33,3,0.69,68,Y,0.94,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +4,4,15677,4,1,7,3,40,3,-0.29,67,Y,-0.55,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +6,6,15678,6,1,7,2,26,3,0.12,68,Y,0.01,P,2,P,95,2,3,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,552.631568,d 520-580,d 520-580,0.99291503,3 +3,4,15684,4,2,7,3,41,3,-0.45,66,Y,-0.37,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +1,1,15689,1,2,3,4,11,3,-1.4,68,Y,-1.55,F,7,F,94,1,1,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,315.789473,a under 400,a under 400,0.99291503,3 +8,9,15700,9,1,7,3,39,3,0.86,60,Y,1.3,P,2,P,95,2,2,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +,,15704,,2,7,3,29,3,,69,X,,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +8,8,15707,8,2,7,3,36,3,0.63,66,Y,0.76,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +9,8,15720,9,2,7,4,35,3,1.02,67,Y,0.74,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +10,9,15729,10,1,7,3,37,3,1.47,61,Y,0.95,P,7,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,8,15739,7,1,7,3,36,3,0.36,67,Y,0.63,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +2,1,15762,3,2,7,4,36,3,-0.76,64,Y,-1.36,P,2,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +6,5,15771,6,1,7,3,36,3,0.09,68,Y,-0.08,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +5,4,15775,5,1,7,1,38,3,-0.11,63,Y,-0.42,P,2,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,15784,1,2,7,4,46,3,-1.66,54,Y,-1.93,F,7,P,95,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,868.421028,g 700+,i 820+,0.99291503,3 +1,1,15804,1,2,7,1,39.5,3,-1.75,67,Y,-2.47,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.7894535,g 700+,h 760-820,0.99291503,3 +6,7,15820,7,2,7,1,43,3,0.31,67,Y,0.54,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +6,4,15831,6,1,7,3,35,3,0.17,68,Y,-0.31,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,2,15840,1,2,4,4,28,3,-1.36,69,Y,-0.93,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,584.210514,e 580-640,e 580-640,0.99291503,3 +6,8,15846,6,2,7,1,39,3,0.22,68,Y,0.74,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +4,4,15856,4,2,7,3,34,3,-0.36,69,Y,-0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +1,2,15887,1,1,7,2,31.5,3,-1.5,67,Y,-1.09,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,639.4736695,e 580-640,e 580-640,0.99291503,3 +5,6,15888,5,2,7,2,32,3,-0.09,66,Y,0.06,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +2,4,15912,2,2,7,1,36,3,-0.83,69,Y,-0.47,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +9,9,15959,9,2,7,3,37,3,1.07,70,Y,0.94,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +8,9,15969,8,1,7,4,43,3,0.6,61,Y,1.22,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,821.052609,g 700+,i 820+,0.99291503,3 +6,4,16027,6,2,7,4,35.5,3,0.08,65,Y,-0.48,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,702.6315615,g 700+,g 700-760,0.99291503,3 +2,1,16032,2,1,3,1,33,3,-1.12,66,Y,-1.52,F,7,P,96,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +5,4,16069,5,2,7,3,39,3,-0.17,67,Y,-0.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +2,1,16078,3,2,7,1,40,3,-0.77,65,Y,-1.64,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +9,7,16096,9,2,7,1,39,3,0.9,65,Y,0.32,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +8,5,16100,8,1,7,3,35,3,0.71,64,Y,-0.22,P,,P,,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +3,6,16105,3,1,4,3,42,3,-0.67,68,Y,0.1,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +9,7,16106,9,1,7,2,32,3,1.04,69,Y,0.42,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +6,7,16167,7,1,7,3,38,3,0.28,64,Y,0.44,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +3,4,16186,3,1,7,4,34.5,3,-0.55,69,Y,-0.48,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,686.8420885,f 640-700,f 640-700,0.99291503,3 +5,4,16209,5,2,7,3,34,3,-0.15,67,Y,-0.4,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +,,16250,,2,7,6,33,3,,57,Y,,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,663.157879,f 640-700,f 640-700,0.99291503,3 +4,5,16269,4,1,7,4,33,3,-0.45,66,Y,-0.05,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +7,10,16276,7,2,7,1,32.5,3,0.51,67,Y,1.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,655.2631425,f 640-700,f 640-700,0.99291503,3 +2,1,16278,2,2,7,4,34.5,3,-0.9,69,Y,-1.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,686.8420885,f 640-700,f 640-700,0.99291503,3 +8,4,16333,8,2,7,1,37,3,0.66,68,Y,-0.47,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +8,9,16337,8,1,7,3,36,3,0.7,69,Y,1.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +7,5,16353,7,1,6,3,35,3,0.45,68,Y,-0.09,F,7,F,95,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +5,6,16357,5,1,7,3,35,3,-0.07,63,Y,0.22,P,2,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +5,5,16361,5,2,7,3,38,3,-0.08,66,Y,-0.08,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,3,16371,2,2,7,3,40,3,-0.89,69,Y,-0.81,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +,,16380,,1,7,5,30.3,3,,64,Y,,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,620.5263019,e 580-640,e 580-640,0.99291503,3 +2,3,16382,3,2,7,3,38,3,-0.75,68,Y,-0.88,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,6,16388,7,2,4,1,37,3,0.52,65,Y,0.29,P,7,P,94,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +7,7,16412,7,2,7,3,37,3,0.39,63,Y,0.43,P,2,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,6,16473,7,2,7,4,36,3,0.47,68,Y,0.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +6,6,16477,6,2,7,1,43,3,0.19,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +7,8,16500,7,2,7,3,36,3,0.36,69,Y,0.73,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +1,2,16510,1,1,1,1,33,3,-1.35,68,Y,-0.97,P,7,P,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +1,3,16527,1,1,7,2,31.5,3,-1.6,65,Y,-0.75,F,7,F,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,639.4736695,e 580-640,e 580-640,0.99291503,3 +4,1,16530,5,2,2,3,30,3,-0.18,,Y,-1.32,F,7,F,94,1,3,,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +3,4,16541,3,2,7,3,31.3,3,-0.6,67,Y,-0.34,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,636.3157749,e 580-640,e 580-640,0.99291503,3 +3,7,16547,4,2,7,3,42,3,-0.43,67,Y,0.3,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +4,5,16555,4,2,7,4,35,3,-0.26,69,Y,-0.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +8,7,16562,8,1,7,1,25,3,0.77,67,Y,0.48,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,536.842095,d 520-580,d 520-580,0.99291503,3 +4,3,16609,5,2,2,3,32.5,3,-0.19,69,Y,-0.82,P,7,P,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,655.2631425,f 640-700,f 640-700,0.99291503,3 +5,4,16613,6,2,7,3,38,3,0,69,Y,-0.35,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +8,7,16631,8,1,7,3,39,3,0.62,66,Y,0.48,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +2,2,16648,2,2,2,3,37,3,-0.86,68,Y,-0.92,F,7,P,95,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +3,4,16658,3,2,7,3,40,3,-0.63,66,Y,-0.53,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +6,5,16673,6,1,7,2,33,3,0.09,65,Y,-0.28,P,2,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +7,5,16689,7,2,7,1,36,3,0.57,69,Y,-0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +7,5,16749,7,2,7,3,40,3,0.32,69,Y,-0.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +,,16751,,2,7,,24.3,3,-0.05,67,Y,-1.02,F,7,F,94,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,,525.7894639,d 520-580,d 520-580,0.99291503,3 +6,2,16771,7,2,3,6,24,3,0.35,68,Y,-1.22,F,7,F,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,521.052622,d 520-580,d 520-580,0.99291503,3 +7,5,16779,7,1,7,3,42,3,0.4,59,Y,-0.13,P,2,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +5,4,16784,5,1,2,3,35,3,-0.17,67,Y,-0.43,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +4,6,16817,5,2,3,3,24.5,3,-0.23,68,Y,0.23,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,528.9473585,d 520-580,d 520-580,0.99291503,3 +6,5,16824,6,1,7,3,31,3,0.17,68,Y,-0.08,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +2,3,16842,2,1,8,5,36,3,-1.11,69,Y,-0.7,P,7,P,94,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,710.526298,g 700+,g 700-760,0.99291503,3 +5,7,16854,5,1,7,1,44,3,-0.06,67,Y,0.4,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +,,16877,,2,7,3,46,3,,65,Y,,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,868.421028,g 700+,i 820+,0.99291503,3 +10,10,16885,10,1,7,3,36,3,1.3,68,Y,1.64,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +8,7,16932,9,2,7,3,31,3,0.87,65,Y,0.51,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +6,5,16938,6,2,7,3,35,3,0.1,68,Y,-0.16,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,9,16942,8,2,7,3,40,3,0.8,65,Y,0.97,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +3,4,16943,3,2,7,4,39,3,-0.53,60,Y,-0.46,P,7,P,95,2,2,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +2,3,16968,2,2,1,5,33,3,-1.08,69,Y,-0.8,F,7,F,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,6,663.157879,f 640-700,f 640-700,0.99291503,3 +6,6,16980,7,2,4,1,39,3,0.29,69,Y,0.16,P,2,P,94,1,5,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +4,7,16996,4,2,7,4,37,3,-0.38,68,Y,0.37,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +8,8,16997,8,2,4,3,33,3,0.75,61,Y,0.75,P,7,P,94,1,4,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +7,7,17013,7,1,2,1,37.5,3,0.37,66,Y,0.4,P,7,P,94,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,734.2105075,g 700+,g 700-760,0.99291503,3 +2,2,17018,3,2,7,4,39,3,-0.78,67,Y,-0.9,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +7,4,17044,7,2,7,3,36,3,0.39,69,Y,-0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +8,9,17055,8,2,7,4,45,3,0.61,59,Y,0.87,P,2,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,852.631555,g 700+,i 820+,0.99291503,3 +4,3,17060,4,2,7,1,38,3,-0.38,65,Y,-0.81,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +5,6,17061,5,2,7,3,35,3,-0.12,69,Y,0.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +3,6,17075,3,1,7,4,35,3,-0.55,67,Y,0.03,P,7,P,94,1,1,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +7,8,17085,7,2,7,1,46,3,0.49,62,Y,0.75,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +4,3,17125,4,2,3,1,25,3,-0.36,67,Y,-0.71,P,7,P,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,536.842095,d 520-580,d 520-580,0.99291503,3 +10,10,17128,10,1,7,3,35,3,1.55,66,Y,2.14,P,7,P,94,1,1,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +6,7,17129,6,2,7,4,47,3,0.23,66,Y,0.49,P,2,P,95,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,884.210501,g 700+,i 820+,0.99291503,3 +3,3,17156,4,1,4,4,36,3,-0.47,67,Y,-0.67,P,7,P,94,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +6,4,17159,6,2,7,1,37,3,0.11,69,Y,-0.3,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +1,1,17197,1,2,7,3,35,3,-2,64,Y,-1.43,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +2,2,17198,3,1,7,6,33,3,-0.72,62,Y,-0.88,F,7,F,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,663.157879,f 640-700,f 640-700,0.99291503,3 +9,9,17200,9,2,7,3,35,3,1.22,63,Y,0.95,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +9,8,17205,9,1,7,4,40,3,0.96,69,Y,0.59,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +9,8,17208,9,2,7,3,38,3,0.92,64,Y,0.65,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +6,4,17214,6,1,7,3,37,3,0.11,67,Y,-0.5,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +3,4,17247,3,1,7,3,38,3,-0.62,62,Y,-0.53,P,7,P,94,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +8,9,17266,9,1,7,3,42,3,0.85,68,Y,0.96,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +6,5,17284,6,2,7,3,37,3,0.24,69,Y,-0.27,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +4,4,17289,4,2,7,1,40,3,-0.25,69,Y,-0.47,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +1,3,17304,1,2,7,3,37,3,-1.31,65,Y,-0.71,P,2,P,95,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +5,2,17307,5,1,7,3,34,3,-0.03,61,Y,-0.95,F,7,P,95,2,2,-54,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +9,10,17309,9,2,7,1,36,3,0.96,69,Y,1.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +1,1,17321,1,2,3,5,42,3,-2.25,68,Y,-2.54,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +8,6,17383,8,1,7,4,44,3,0.75,68,Y,0.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +4,3,17392,4,2,7,4,39,3,-0.32,69,Y,-0.76,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +8,8,17410,8,2,7,3,30,3,0.65,61,Y,0.82,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +4,4,17414,4,1,7,3,33,3,-0.39,69,Y,-0.36,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +8,7,17420,8,2,7,3,35,3,0.74,60,Y,0.41,P,2,P,95,2,2,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,2,17464,1,2,7,3,39,3,-1.52,68,Y,-1.2,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +4,1,17471,4,2,7,1,37,3,-0.3,67,Y,-1.69,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,726.315771,g 700+,g 700-760,0.99291503,3 +3,4,17474,4,1,6,3,36,3,-0.52,69,Y,-0.39,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +1,3,17476,2,2,7,3,36,3,-1.11,59,Y,-0.65,F,7,P,95,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +3,2,17484,4,1,7,3,34,3,-0.52,70,Y,-0.9,F,7,P,95,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +9,10,17516,9,2,7,4,36,3,1.15,61,Y,1.43,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +4,5,17519,5,1,7,3,34,3,-0.24,69,Y,-0.25,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +3,3,17525,3,2,7,3,41,3,-0.52,62,Y,-0.68,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +6,7,17535,6,2,7,3,38,3,0.24,65,Y,0.44,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +8,8,17549,9,2,7,3,41,3,0.84,69,Y,0.68,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +9,9,17568,9,2,7,3,38,3,1.14,68,Y,0.89,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +8,9,17581,8,2,7,3,37,3,0.74,63,Y,1.3,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +10,8,17589,10,2,7,3,44,3,1.45,69,Y,0.82,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +4,9,17607,4,2,7,4,37,3,-0.37,57,Y,1.13,P,7,P,94,1,2,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +3,3,17611,3,2,7,4,41,3,-0.61,69,Y,-0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +4,2,17613,4,2,7,1,33,3,-0.36,67,Y,-1.04,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +,,17630,,2,7,1,32,3,,61,Y,-1.35,P,2,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +10,6,17642,10,2,7,4,43,3,1.32,62,Y,0.24,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,821.052609,g 700+,i 820+,0.99291503,3 +8,5,17677,8,1,7,4,47,3,0.71,68,Y,-0.14,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,884.210501,g 700+,i 820+,0.99291503,3 +9,8,17685,9,1,7,3,36,3,0.88,68,Y,0.8,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +,,17690,,1,7,3,40,3,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +6,7,17702,7,2,6,3,36,3,0.28,69,Y,0.45,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +1,1,17718,1,2,7,1,30,3,-2.01,61,Y,-2.2,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,615.78946,e 580-640,e 580-640,0.99291503,3 +4,2,17743,5,2,7,3,35,3,-0.23,68,Y,-1.09,F,7,P,95,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +4,6,17750,4,1,7,1,29,3,-0.35,60,Y,0.07,P,7,P,95,2,1,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +5,4,17757,5,2,7,3,30,3,-0.1,68,Y,-0.48,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +2,1,17761,3,2,7,3,24.7,3,-0.82,67,Y,-1.35,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,532.1052531,d 520-580,d 520-580,0.99291503,3 +5,4,17768,5,2,6,3,35,3,-0.06,68,Y,-0.3,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +9,8,17769,9,2,7,3,30.5,3,0.94,65,Y,0.78,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +1,1,17775,1,1,3,3,19,3,-2.02,45,Y,-2.31,F,7,F,95,1,1,-38,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,442.105257,b 400-460,b 400-460,0.99291503,3 +2,5,17842,2,1,7,1,42,3,-1.05,61,Y,-0.16,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +3,3,17898,4,2,7,1,38,3,-0.45,68,Y,-0.79,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,17906,1,1,3,3,30.5,3,-1.33,66,Y,-2.4,F,7,F,95,2,3,-59,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +10,10,17920,10,2,7,1,42.5,3,2.18,60,Y,2.04,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,813.1578725,g 700+,h 760-820,0.99291503,3 +8,7,17942,8,2,7,3,34,3,0.8,69,Y,0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +7,5,17944,7,1,7,3,38,3,0.46,68,Y,-0.24,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +5,3,17947,5,2,7,4,44,3,-0.03,65,Y,-0.57,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +4,5,17953,4,1,7,4,37.5,3,-0.39,61,Y,-0.13,P,7,P,95,2,4,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.2105075,g 700+,g 700-760,0.99291503,3 +6,4,17959,6,1,7,4,36,3,0.12,69,Y,-0.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +10,10,17965,10,1,8,2,40,3,2.29,,Y,2.68,P,7,P,94,1,3,,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,773.68419,g 700+,h 760-820,0.99291503,3 +9,9,18005,9,1,7,4,42,3,1.23,67,Y,0.91,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +5,7,18015,5,1,7,2,33,3,-0.1,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +4,4,18018,4,1,7,4,35,3,-0.26,43,Y,-0.34,P,7,P,94,1,3,-36,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +2,3,18020,2,1,7,3,36,3,-0.91,63,Y,-0.59,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +,,18030,,1,3,1,29,3,,69,Y,,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +4,2,18048,5,1,6,3,29,3,-0.24,68,Y,-0.91,P,7,P,94,2,2,-61,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,599.999987,e 580-640,e 580-640,0.99291503,3 +2,1,18062,2,1,7,3,38,3,-0.95,67,Y,-2.14,F,7,P,96,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +10,10,18077,10,2,7,2,37,3,1.92,65,Y,1.98,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,726.315771,g 700+,g 700-760,0.99291503,3 +8,8,18081,8,1,7,3,37,3,0.63,69,Y,0.74,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +3,3,18135,4,1,6,1,39,3,-0.49,66,Y,-0.72,P,7,P,94,1,3,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +3,2,18164,3,2,7,4,34,3,-0.56,67,Y,-0.89,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +3,6,18170,4,1,7,3,35,3,-0.45,69,Y,0.13,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +5,4,18213,5,1,7,3,34,3,-0.14,69,Y,-0.34,P,,P,,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +4,2,18225,4,1,7,3,39,3,-0.4,68,Y,-1.08,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +8,9,18228,8,2,7,1,39,3,0.79,66,Y,0.9,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +10,10,18244,10,2,7,4,36,3,2.76,66,Y,1.87,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +1,1,18282,1,2,7,1,25,3,-1.54,69,Y,-1.35,F,7,P,96,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,536.842095,d 520-580,d 520-580,0.99291503,3 +3,4,18283,3,1,7,4,33,3,-0.59,67,Y,-0.28,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,663.157879,f 640-700,f 640-700,0.99291503,3 +10,10,18287,10,2,7,2,33,3,1.93,67,Y,2.35,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +4,8,18294,5,2,7,3,43,3,-0.2,62,Y,0.6,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +6,5,18302,6,2,7,4,38,3,0.23,69,Y,-0.09,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +5,1,18304,5,2,7,1,33,3,0.01,67,Y,-2.07,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +4,5,18322,4,1,7,1,29,3,-0.24,68,Y,-0.22,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +3,1,18324,4,2,7,3,38,3,-0.51,68,Y,-1.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,18329,1,1,3,5,35,3,-1.68,67,Y,-1.46,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,694.736825,f 640-700,f 640-700,0.99291503,3 +,,18365,,1,7,6,41,3,,56,Y,,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,789.473663,g 700+,h 760-820,0.99291503,3 +2,2,18426,3,1,2,3,24,3,-0.75,68,Y,-1.24,F,7,P,95,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,521.052622,d 520-580,d 520-580,0.99291503,3 +4,5,18439,4,2,7,1,42,3,-0.28,51,Y,-0.05,P,2,P,95,2,5,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +8,4,18446,8,2,3,4,36,3,0.86,69,Y,-0.36,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +7,5,18468,7,1,3,6,31,3,0.48,60,Y,-0.17,P,7,P,95,2,3,-53,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,631.578933,e 580-640,e 580-640,0.99291503,3 +7,6,18473,7,2,7,3,34,3,0.49,68,Y,0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +10,10,18508,10,2,7,3,42,3,1.6,68,Y,1.63,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +2,2,18531,2,2,7,3,39,3,-1.06,67,Y,-1.08,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,7,18545,6,2,4,1,39,3,0.22,62,Y,0.36,P,7,P,94,1,2,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +5,2,18581,5,2,7,1,36,3,-0.16,64,Y,-1.03,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +1,2,18587,2,1,7,3,38,3,-1.23,69,Y,-0.93,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +,,18589,,2,7,5,35,3,,55,Y,,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,694.736825,f 640-700,f 640-700,0.99291503,3 +3,3,18609,3,2,7,5,42,3,-0.76,67,Y,-0.68,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +2,4,18615,2,2,3,1,35,3,-0.85,68,Y,-0.5,P,7,P,95,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +5,5,18633,5,2,2,3,39,3,-0.1,60,Y,-0.14,P,2,P,95,2,3,-58,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +7,7,18664,7,1,7,4,42,3,0.39,66,Y,0.44,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +9,7,18671,9,2,7,1,37,3,1.06,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +6,7,18673,6,1,7,3,35,3,0.14,68,Y,0.28,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +7,6,18680,7,2,7,3,37,3,0.34,68,Y,0.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +6,6,18710,6,2,7,4,35,3,0.14,68,Y,0.23,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +10,10,18719,10,2,8,1,46,3,1.8,69,Y,2.02,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +2,2,18735,2,2,5,3,28,3,-1.01,69,Y,-1.16,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,584.210514,e 580-640,e 580-640,0.99291503,3 +6,8,18739,6,1,7,1,40,3,0.22,48,Y,0.69,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +5,3,18757,6,2,7,3,29.5,3,0.01,68,Y,-0.81,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.8947235,e 580-640,e 580-640,0.99291503,3 +10,9,18773,10,1,7,3,44,3,1.61,40,Y,1.12,P,7,P,94,1,4,-33,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +1,2,18781,2,2,7,1,46,3,-1.21,69,Y,-1.33,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +3,5,18826,4,2,7,3,32.3,3,-0.43,66,Y,-0.11,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,652.1052479,f 640-700,f 640-700,0.99291503,3 +4,1,18829,4,2,4,3,21.5,3,-0.37,64,Y,-1.35,F,7,F,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,481.5789395,c 460-520,c 460-520,0.99291503,3 +1,1,18839,1,1,3,3,24,3,-1.62,68,Y,-2.03,F,7,F,95,2,2,-61,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,521.052622,d 520-580,d 520-580,0.99291503,3 +5,3,18846,5,2,7,1,33.5,3,-0.15,69,Y,-0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,671.0526155,f 640-700,f 640-700,0.99291503,3 +9,9,18859,9,1,6,4,44,3,1.09,64,Y,0.89,P,7,P,94,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +4,3,18904,4,2,7,3,34,3,-0.33,68,Y,-0.88,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +5,3,18927,6,2,7,3,34,3,0.04,69,Y,-0.78,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +8,8,18969,8,2,7,3,39,3,0.76,69,Y,0.74,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,3,18971,7,1,7,2,30,3,0.26,60,Y,-0.67,P,7,P,94,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,615.78946,e 580-640,e 580-640,0.99291503,3 +9,9,18987,9,1,7,6,31,3,0.93,34,Y,1.1,P,7,P,94,1,4,-27,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,631.578933,e 580-640,e 580-640,0.99291503,3 +1,1,18988,1,2,7,3,34,3,-1.97,68,Y,-1.63,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +3,3,18999,3,1,7,3,42,3,-0.59,68,Y,-0.62,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +3,1,19015,3,1,2,2,27,3,-0.64,61,Y,-1.33,F,7,P,95,1,2,-54,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,2,568.421041,d 520-580,d 520-580,0.99291503,3 +4,3,19027,4,1,7,1,34,3,-0.32,69,Y,-0.87,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,678.947352,f 640-700,f 640-700,0.99291503,3 +6,7,19044,6,2,7,2,35,3,0.1,67,Y,0.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +10,10,19048,10,2,7,4,39,3,1.81,69,Y,1.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +6,4,19053,6,2,3,2,30,3,0.04,62,Y,-0.42,P,7,P,94,1,3,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,615.78946,e 580-640,e 580-640,0.99291503,3 +8,6,19079,8,2,7,4,42,3,0.57,65,Y,0.18,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +,,19104,2,1,7,6,37,3,-1.13,67,Y,,F,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,726.315771,g 700+,g 700-760,0.99291503,3 +7,9,19151,7,1,7,3,42,3,0.4,68,Y,1.04,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +7,6,19182,8,1,4,3,37,3,0.55,68,Y,0.09,P,7,P,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +9,2,19208,9,2,7,1,45,3,1.16,68,Y,-1.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +10,10,19225,10,2,7,4,31.5,3,1.4,62,Y,1.59,P,7,P,95,2,5,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,639.4736695,e 580-640,e 580-640,0.99291503,3 +2,10,19288,2,1,7,1,33,3,-0.9,54,Y,2.71,P,7,P,95,2,4,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +5,4,19320,5,1,7,1,39,3,-0.01,69,Y,-0.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +2,3,19343,2,1,7,3,23,3,-0.92,56,Y,-0.67,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,505.263149,c 460-520,c 460-520,0.99291503,3 +2,2,19376,2,2,2,4,40,3,-0.82,66,Y,-1,P,7,P,94,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +7,6,19378,7,2,1,1,43,3,0.34,66,Y,0.06,P,7,P,94,1,3,-59,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +4,3,19383,4,2,7,1,32,3,-0.32,63,Y,-0.85,P,2,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +5,5,19420,5,2,7,3,36,3,-0.16,62,Y,-0.19,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +8,6,19436,8,1,6,2,29.5,3,0.59,68,Y,-0.01,P,7,P,94,1,2,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.8947235,e 580-640,e 580-640,0.99291503,3 +6,6,19437,6,2,7,4,44,3,0.1,68,Y,0.1,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +2,1,19450,2,1,2,4,37,3,-1.03,55,Y,-1.38,P,7,P,94,1,1,-48,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +2,1,19453,2,2,7,1,41,3,-0.98,69,Y,-1.43,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +3,5,19456,3,2,7,2,36,3,-0.62,68,Y,-0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +3,2,19460,3,2,7,3,34,3,-0.59,69,Y,-1.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +,,19475,9,2,7,3,40,3,0.9,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +4,2,19489,4,1,7,3,34,3,-0.41,67,Y,-1.13,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +2,3,19499,2,2,7,1,36,3,-0.87,64,Y,-0.86,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +9,9,19503,9,1,7,1,34,3,1.12,49,Y,1.18,P,7,P,94,2,3,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,678.947352,f 640-700,f 640-700,0.99291503,3 +1,3,19504,1,2,7,3,33,3,-1.42,56,Y,-0.69,P,2,P,96,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +9,9,19508,9,1,7,4,38,3,1.1,60,Y,0.98,P,2,P,96,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +9,7,19532,9,1,7,2,30.7,3,0.96,67,Y,0.53,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,626.8420911,e 580-640,e 580-640,0.99291503,3 +10,10,19566,10,2,7,2,34,3,1.54,67,Y,1.63,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +10,10,19608,10,2,7,2,32,3,1.3,68,Y,2.09,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +7,6,19620,7,1,7,3,33,3,0.39,69,Y,0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +4,2,19651,4,2,7,1,44,3,-0.4,63,Y,-1.17,P,2,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +8,6,19683,8,2,7,3,40,3,0.57,64,Y,0.05,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +8,8,19705,9,2,6,3,39,3,0.86,57,Y,0.64,P,2,P,94,1,3,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,19748,1,1,3,3,21,3,-1.32,68,Y,-1.48,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,473.684203,c 460-520,c 460-520,0.99291503,3 +1,1,19766,2,1,7,3,29.5,3,-1.19,69,Y,-1.33,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.8947235,e 580-640,e 580-640,0.99291503,3 +9,9,19784,9,2,2,4,44,3,0.98,62,Y,1.11,P,7,P,94,1,2,-55,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +8,9,19793,8,2,7,3,39,3,0.7,60,Y,0.89,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +5,7,19800,5,1,7,3,33.5,3,-0.13,66,Y,0.49,P,7,P,94,1,1,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.0526155,f 640-700,f 640-700,0.99291503,3 +6,5,19832,6,2,7,3,40,3,0.11,69,Y,-0.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +4,5,19856,4,1,7,3,32,3,-0.42,69,Y,-0.12,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +6,3,19866,6,1,3,4,26.5,3,0.09,62,Y,-0.76,F,2,F,96,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,560.5263045,d 520-580,d 520-580,0.99291503,3 +3,2,19875,3,1,7,3,39,3,-0.68,69,Y,-1.19,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,8,19881,6,2,7,2,34,3,0.15,68,Y,0.65,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +2,2,19895,2,2,7,3,39,3,-1.05,68,Y,-0.91,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,19921,1,2,7,2,25,3,-1.48,25,Y,-1.84,F,2,F,95,1,1,-23,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,536.842095,d 520-580,d 520-580,0.99291503,3 +9,9,19937,9,2,7,3,45,3,1.19,61,Y,1.02,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,852.631555,g 700+,i 820+,0.99291503,3 +,,19986,2,1,6,3,38,3,-0.92,69,Y,,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +1,2,19995,1,1,2,3,36.5,3,-1.33,55,Y,-1.06,P,7,P,94,1,3,-48,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,718.4210345,g 700+,g 700-760,0.99291503,3 +8,10,20010,8,2,7,3,42,3,0.57,54,Y,1.39,P,2,P,96,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +10,9,20021,10,2,7,1,37.5,3,1.54,58,Y,1.1,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,734.2105075,g 700+,g 700-760,0.99291503,3 +10,10,20025,10,1,7,1,44,3,1.48,66,Y,1.41,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +10,10,20026,10,1,7,1,40,3,2.12,68,Y,2.05,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +2,3,20062,2,1,7,2,36,3,-0.96,67,Y,-0.61,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +4,6,20088,4,2,7,3,37,3,-0.32,69,Y,0.06,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +8,7,20097,8,1,7,3,32,3,0.6,67,Y,0.54,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +10,9,20102,10,2,7,2,33,3,1.67,68,Y,1.27,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +8,5,20143,8,2,7,3,33,3,0.61,66,Y,-0.13,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +9,8,20173,9,1,7,3,31.5,3,0.9,55,Y,0.76,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,639.4736695,e 580-640,e 580-640,0.99291503,3 +8,8,20209,8,2,7,3,30,3,0.68,51,Y,0.82,P,7,P,94,1,4,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +1,1,20216,1,1,3,2,24.5,3,-1.79,69,Y,-2.16,P,2,P,94,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,528.9473585,d 520-580,d 520-580,0.99291503,3 +7,6,20237,7,1,7,3,37,3,0.36,69,Y,0.19,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,1,20244,7,1,7,3,27.3,3,0.37,68,Y,-1.36,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,573.1578829,d 520-580,d 520-580,0.99291503,3 +4,1,20259,4,2,7,1,32,3,-0.34,69,Y,-1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +9,9,20260,9,2,7,4,42,3,1.01,66,Y,1.23,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +6,5,20338,6,1,7,5,43,3,0.2,62,Y,-0.07,P,7,P,94,1,1,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,821.052609,g 700+,i 820+,0.99291503,3 +2,2,20388,2,2,7,3,37,3,-0.89,68,Y,-1.19,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +,,20393,,1,7,5,38,3,,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,742.105244,g 700+,g 700-760,0.99291503,3 +7,6,20399,8,1,7,3,41,3,0.55,65,Y,0.09,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +2,2,20413,3,1,7,2,28,3,-0.76,67,Y,-1.03,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,584.210514,e 580-640,e 580-640,0.99291503,3 +9,7,20422,9,1,7,1,31,3,0.94,67,Y,0.43,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +5,5,20451,5,2,7,4,32.5,3,-0.03,69,Y,-0.14,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,655.2631425,f 640-700,f 640-700,0.99291503,3 +3,3,20477,3,1,7,4,43,3,-0.55,67,Y,-0.61,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,821.052609,g 700+,i 820+,0.99291503,3 +,,20481,8,1,7,3,38,3,0.64,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +,,20487,3,2,2,4,29.5,3,-0.52,69,Y,,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,607.8947235,e 580-640,e 580-640,0.99291503,3 +1,1,20494,1,1,7,4,43,3,-1.38,67,Y,-1.56,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,821.052609,g 700+,i 820+,0.99291503,3 +9,9,20496,9,2,7,1,31,3,1.17,67,Y,0.95,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +3,3,20507,3,2,7,1,28,3,-0.65,67,Y,-0.57,P,2,P,94,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,584.210514,e 580-640,e 580-640,0.99291503,3 +3,6,20511,4,1,7,1,36.5,3,-0.44,65,Y,0.04,P,2,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,718.4210345,g 700+,g 700-760,0.99291503,3 +6,3,20526,6,2,7,3,33,3,0.17,69,Y,-0.59,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +10,7,20547,10,2,7,1,36,3,1.67,67,Y,0.52,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +7,8,20600,7,1,7,1,37,3,0.4,67,Y,0.7,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +4,5,20602,5,2,7,1,39,3,-0.22,68,Y,-0.23,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +9,9,20610,9,2,7,1,42,3,0.96,41,Y,1.2,P,7,P,94,1,4,-34,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +3,1,20617,3,2,7,1,39,3,-0.56,68,Y,-1.38,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,757.894717,g 700+,g 700-760,0.99291503,3 +1,2,20632,1,1,3,1,29,3,-1.71,69,Y,-1.32,F,2,F,95,1,2,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +5,7,20650,5,2,7,5,42,3,0.05,60,Y,0.52,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +5,2,20662,6,1,7,2,35,3,0,69,Y,-1.09,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +5,3,20663,5,2,3,5,38,3,0.04,69,Y,-0.53,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,742.105244,g 700+,g 700-760,0.99291503,3 +5,6,20679,5,2,7,4,40,3,-0.02,68,Y,0.23,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +4,5,20707,4,1,7,4,34,3,-0.4,51,Y,0,P,7,P,95,2,3,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +9,8,20710,9,1,7,1,46,3,0.97,64,Y,0.74,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +6,4,20731,6,2,7,1,35.5,3,0.1,68,Y,-0.29,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.6315615,g 700+,g 700-760,0.99291503,3 +5,6,20773,6,2,7,3,42,3,0.04,31,Y,0.03,P,7,P,94,1,3,-24,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +10,10,20774,10,2,7,3,47,3,2.85,67,Y,2.65,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,884.210501,g 700+,i 820+,0.99291503,3 +8,8,20793,8,2,7,5,38.5,3,0.78,68,Y,0.79,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,749.9999805,g 700+,g 700-760,0.99291503,3 +5,5,20813,5,1,7,1,38,3,-0.03,69,Y,-0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +8,6,20814,8,2,7,3,37,3,0.58,63,Y,0.13,P,2,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +4,2,20838,4,2,7,1,28,3,-0.3,64,Y,-1,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,584.210514,e 580-640,e 580-640,0.99291503,3 +7,4,20867,7,2,7,1,46,3,0.4,68,Y,-0.29,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,868.421028,g 700+,i 820+,0.99291503,3 +8,7,20869,8,1,6,3,44,3,0.75,65,Y,0.35,F,7,P,95,1,4,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +3,2,20882,3,1,7,1,38.5,3,-0.73,68,Y,-0.99,P,2,P,94,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.9999805,g 700+,g 700-760,0.99291503,3 +7,4,20887,7,2,7,3,38,3,0.36,68,Y,-0.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +4,2,20892,4,2,6,5,34,3,-0.34,68,Y,-0.9,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,678.947352,f 640-700,f 640-700,0.99291503,3 +1,1,20918,1,2,3,1,25.5,3,-2.11,67,Y,-1.92,P,7,P,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,544.7368315,d 520-580,d 520-580,0.99291503,3 +5,3,20919,5,2,7,3,38,3,-0.05,69,Y,-0.72,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,3,20924,2,1,7,1,32,3,-0.95,69,Y,-0.62,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +1,1,20983,1,2,3,1,31,3,-1.8,61,Y,-1.65,P,7,P,94,1,1,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +5,2,20988,5,2,7,4,39,3,-0.14,68,Y,-1.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +2,2,20990,2,2,7,1,40,3,-1.1,53,Y,-0.91,P,2,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +8,7,20992,8,1,7,3,38,3,0.81,68,Y,0.53,P,7,P,94,1,1,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +10,10,21004,10,1,7,3,39,3,1.7,52,Y,1.74,P,7,P,94,2,4,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +3,6,21033,4,2,7,5,44,3,-0.49,65,Y,0.04,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,836.842082,g 700+,i 820+,0.99291503,3 +1,1,21039,1,2,3,5,28,3,-1.77,63,Y,-1.62,P,7,P,94,1,3,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,584.210514,e 580-640,e 580-640,0.99291503,3 +2,1,21059,2,2,7,4,35,3,-1,66,Y,-1.44,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +6,6,21062,6,2,7,3,33,3,0.17,69,Y,0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +8,8,21084,8,1,7,3,39,3,0.57,68,Y,0.78,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +,,21097,3,2,5,5,46,3,-0.53,68,Y,,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,868.421028,g 700+,i 820+,0.99291503,3 +3,1,21104,3,1,2,1,42,3,-0.69,69,Y,-1.46,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +1,1,21111,1,1,7,4,20,3,-3.3,54,Y,-3.16,F,7,F,94,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,457.89473,b 400-460,b 400-460,0.99291503,3 +1,3,21120,2,1,7,1,38,3,-1.25,65,Y,-0.65,P,,P,,1,3,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,21125,1,2,7,3,36,3,-1.4,67,Y,-1.34,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +3,1,21147,4,2,7,3,44,3,-0.42,65,Y,-1.34,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +,,21173,,2,7,,22,3,-0.83,67,Y,-0.95,P,2,P,95,2,3,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,489.473676,c 460-520,c 460-520,0.99291503,3 +9,9,21199,9,1,7,1,38,3,1.03,69,Y,1.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +4,5,21201,5,2,7,3,37,3,-0.21,63,Y,-0.14,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +9,9,21218,9,1,7,3,45,3,1.08,69,Y,1.26,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,852.631555,g 700+,i 820+,0.99291503,3 +8,7,21228,8,2,7,2,36,3,0.63,67,Y,0.45,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +2,3,21276,3,1,3,3,40,3,-0.82,61,Y,-0.73,P,7,P,94,1,3,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +10,10,21284,10,2,7,4,46,3,1.36,67,Y,1.53,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,868.421028,g 700+,i 820+,0.99291503,3 +9,9,21330,9,2,7,2,36,3,0.9,64,Y,1.02,P,2,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +2,4,21336,2,2,7,1,37,3,-0.99,56,Y,-0.33,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +10,10,21337,10,2,7,1,41,3,1.57,66,Y,1.91,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +1,1,21343,1,1,3,2,23.7,3,-1.62,68,Y,-2.13,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,516.3157801,c 460-520,c 460-520,0.99291503,3 +4,6,21372,4,1,7,3,35,3,-0.29,67,Y,-0.02,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +9,10,21383,9,2,7,1,31,3,0.98,69,Y,1.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,631.578933,e 580-640,e 580-640,0.99291503,3 +2,2,21404,2,1,7,3,34,3,-0.92,69,Y,-0.93,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +5,3,21418,5,2,7,3,33,3,-0.17,68,Y,-0.69,P,2,P,94,2,4,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +8,8,21441,8,2,7,3,33,3,0.76,70,Y,0.61,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +3,3,21444,3,1,6,4,36,3,-0.54,69,Y,-0.72,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +9,7,21470,9,2,7,1,42,3,1.07,67,Y,0.5,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +2,3,21481,2,2,7,4,37.5,3,-1.13,68,Y,-0.74,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,734.2105075,g 700+,g 700-760,0.99291503,3 +9,9,21529,9,1,7,2,31,3,1.22,69,Y,1.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +4,3,21536,4,2,7,3,30.5,3,-0.4,61,Y,-0.7,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +6,8,21540,6,2,7,3,32,3,0.17,66,Y,0.6,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +5,5,21559,5,2,2,4,31,3,-0.03,67,Y,-0.15,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,631.578933,e 580-640,e 580-640,0.99291503,3 +,,21582,,2,7,1,42,3,,51,Y,0.33,P,2,P,96,2,4,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +6,4,21597,6,2,7,3,38,3,0.09,69,Y,-0.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,2,21642,2,2,7,1,41,3,-1.14,69,Y,-1.14,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +4,3,21647,4,2,7,1,41,3,-0.33,66,Y,-0.66,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +7,3,21667,7,1,7,3,32,3,0.39,69,Y,-0.77,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +3,4,21684,3,2,7,3,36,3,-0.68,65,Y,-0.35,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +1,1,21701,1,2,3,3,24,3,-1.68,68,Y,-1.52,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,521.052622,d 520-580,d 520-580,0.99291503,3 +9,9,21708,9,1,7,3,38,3,0.87,49,Y,1.03,P,2,P,95,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +6,5,21733,6,1,7,1,35,3,0.18,66,Y,-0.21,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +2,2,21737,3,2,7,1,38,3,-0.79,69,Y,-1.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +,,21753,,1,7,5,43,3,,65,Y,,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,821.052609,g 700+,i 820+,0.99291503,3 +7,6,21758,8,2,7,1,36,3,0.58,69,Y,0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +9,10,21805,9,2,7,2,33,3,0.94,68,Y,1.47,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +6,3,21828,6,2,7,2,28.5,3,0.09,68,Y,-0.73,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,592.1052505,e 580-640,e 580-640,0.99291503,3 +1,1,21851,2,1,7,3,36,3,-1.28,69,Y,-1.87,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +8,8,21854,8,2,7,3,34,3,0.68,57,Y,0.74,P,2,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +3,1,21866,3,2,7,1,45,3,-0.55,68,Y,-1.37,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +7,9,21887,7,1,7,1,42,3,0.45,47,Y,1.19,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +7,7,21889,7,2,7,2,36,3,0.48,68,Y,0.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +4,1,21928,4,1,7,3,31,3,-0.39,58,Y,-1.34,F,7,F,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +9,10,21959,9,2,7,5,41,3,1.34,58,Y,1.69,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,789.473663,g 700+,h 760-820,0.99291503,3 +7,5,21985,7,2,7,4,38,3,0.45,69,Y,-0.16,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +8,9,21995,8,2,7,1,42,3,0.72,63,Y,1.19,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +,,22022,,1,7,5,40,3,,64,Y,,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +4,4,22024,4,2,7,3,38,3,-0.26,68,Y,-0.31,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +10,10,22032,10,2,7,4,36.5,3,2.39,68,Y,2.21,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,718.4210345,g 700+,g 700-760,0.99291503,3 +3,2,22043,3,1,7,2,29.5,3,-0.6,67,Y,-0.94,F,7,F,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,607.8947235,e 580-640,e 580-640,0.99291503,3 +5,8,22098,5,2,2,1,45,3,0.02,66,Y,0.6,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +6,6,22110,6,2,7,1,48,3,0.09,64,Y,0.24,P,2,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,899.999974,g 700+,i 820+,0.99291503,3 +7,6,22115,7,1,2,4,39,3,0.37,69,Y,0.13,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +9,8,22147,9,1,7,4,35.5,3,1.07,68,Y,0.54,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,702.6315615,g 700+,g 700-760,0.99291503,3 +7,7,22150,7,2,7,5,39,3,0.49,66,Y,0.37,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,757.894717,g 700+,g 700-760,0.99291503,3 +7,7,22281,7,1,7,3,34,3,0.4,63,Y,0.29,F,7,F,95,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +3,2,22307,4,1,7,3,32,3,-0.51,68,Y,-1.2,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +6,8,22332,7,2,7,3,35,3,0.26,69,Y,0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,7,22336,8,2,7,4,43,3,0.65,69,Y,0.45,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,821.052609,g 700+,i 820+,0.99291503,3 +2,3,22350,2,1,7,3,38,3,-0.95,32,Y,-0.66,P,7,P,94,1,2,-25,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +6,4,22359,6,2,7,3,38.5,3,0.2,51,Y,-0.37,P,7,P,94,1,4,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.9999805,g 700+,g 700-760,0.99291503,3 +10,10,22380,10,2,7,3,34,3,2.42,68,Y,2.19,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +8,8,22382,8,1,7,3,39,3,0.67,47,Y,0.6,P,2,P,96,2,4,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,4,22396,7,2,7,3,35,3,0.31,68,Y,-0.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,8,22406,9,2,7,3,44,3,0.85,69,Y,0.81,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +9,8,22423,9,2,3,6,32,3,1.22,67,Y,0.71,P,7,P,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,647.368406,f 640-700,f 640-700,0.99291503,3 +9,10,22426,9,2,7,1,40,3,1.25,63,Y,1.53,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +2,2,22428,3,2,7,1,33,3,-0.82,67,Y,-1.01,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +4,5,22455,4,2,7,1,41,3,-0.39,67,Y,-0.23,P,2,P,94,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +8,7,22468,8,1,7,3,36,3,0.61,66,Y,0.48,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +2,3,22478,2,2,7,3,34,3,-1.09,67,Y,-0.61,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +5,4,22479,5,1,7,2,26,3,-0.08,69,Y,-0.53,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,552.631568,d 520-580,d 520-580,0.99291503,3 +9,6,22480,9,1,7,3,31,3,1.18,68,Y,0.2,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +6,4,22485,6,2,7,3,40,3,0.12,69,Y,-0.33,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +2,2,22497,3,1,4,4,35,3,-0.77,63,Y,-1.29,P,2,P,96,2,3,-61,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +5,4,22505,5,2,6,4,35,3,-0.11,68,Y,-0.27,P,7,P,94,1,5,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +5,4,22529,5,1,7,4,34,3,-0.12,65,Y,-0.39,F,7,P,95,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +,,22546,,1,7,,26,3,-0.28,65,Y,-0.15,P,2,P,95,2,3,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,552.631568,d 520-580,d 520-580,0.99291503,3 +1,3,22615,2,2,7,2,33,3,-1.1,68,Y,-0.9,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +7,9,22621,7,2,7,4,44,3,0.48,65,Y,0.99,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +7,8,22658,8,2,7,1,36,3,0.61,65,Y,0.58,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +6,7,22686,6,1,7,1,38,3,0.1,52,Y,0.47,P,7,P,94,1,3,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +9,10,22695,9,2,7,4,36,3,1.13,68,Y,1.36,P,7,P,95,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +5,9,22715,5,1,7,5,40,3,0.04,65,Y,0.86,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +,,22720,,2,7,5,42,3,,61,Y,,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +9,9,22798,9,2,7,1,43,3,1.05,69,Y,0.9,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +7,8,22804,7,2,7,1,40,3,0.35,66,Y,0.75,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +6,6,22836,7,2,7,1,34,3,0.32,65,Y,0.14,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,678.947352,f 640-700,f 640-700,0.99291503,3 +6,4,22850,6,2,7,3,43,3,0.1,67,Y,-0.49,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +1,2,22867,1,2,7,1,33,3,-1.3,69,Y,-1.2,P,7,P,93,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +3,5,22877,4,1,7,3,35,3,-0.47,69,Y,-0.28,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +10,4,22878,10,2,7,4,34,3,1.82,69,Y,-0.34,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +10,9,22888,10,2,7,4,39,3,1.35,56,Y,1.08,P,7,P,94,1,5,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +6,3,22978,6,1,7,1,32,3,0.2,65,Y,-0.77,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +3,2,22986,3,2,7,1,36,3,-0.54,62,Y,-1.02,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +4,6,22993,4,2,7,1,42,3,-0.36,69,Y,0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +7,7,22998,8,1,7,1,42,3,0.61,59,Y,0.55,P,7,P,94,1,4,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +9,9,23025,9,2,7,1,38,3,1.21,67,Y,1.19,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +7,4,23086,8,2,2,3,37,3,0.53,65,Y,-0.5,F,7,P,95,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,6,23115,7,1,7,4,39,3,0.38,69,Y,0.26,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +5,7,23118,5,1,7,3,38,3,-0.05,69,Y,0.43,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +10,10,23169,10,2,7,2,34,3,1.33,66,Y,1.37,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +7,4,23176,7,1,7,6,28,3,0.5,68,Y,-0.48,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,584.210514,e 580-640,e 580-640,0.99291503,3 +10,9,23180,10,2,7,1,44,3,1.4,68,Y,1.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +10,9,23182,10,1,7,3,32.5,3,1.49,64,Y,1.04,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,655.2631425,f 640-700,f 640-700,0.99291503,3 +9,8,23186,10,2,7,3,30.7,3,1.27,67,Y,0.77,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,626.8420911,e 580-640,e 580-640,0.99291503,3 +5,6,23197,5,2,7,3,41,3,-0.02,66,Y,0.18,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +6,7,23198,6,1,7,3,35,3,0.22,67,Y,0.4,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +2,3,23201,2,1,7,3,31,3,-0.85,68,Y,-0.7,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +4,5,23234,4,1,3,1,30,3,-0.42,69,Y,-0.2,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,615.78946,e 580-640,e 580-640,0.99291503,3 +4,8,23244,4,1,7,3,33.5,3,-0.26,67,Y,0.61,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.0526155,f 640-700,f 640-700,0.99291503,3 +6,5,23302,6,2,7,3,37,3,0.14,69,Y,-0.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +5,5,23303,5,2,7,1,44,3,-0.05,68,Y,-0.04,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +10,10,23306,10,2,7,3,37,3,1.72,63,Y,1.85,P,,P,,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,2,23309,2,1,8,3,25.5,3,-0.91,69,Y,-1.21,P,7,P,95,1,4,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,544.7368315,d 520-580,d 520-580,0.99291503,3 +8,9,23317,8,2,7,6,37,3,0.79,63,Y,1.04,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,726.315771,g 700+,g 700-760,0.99291503,3 +2,10,23339,2,1,8,2,35,3,-0.9,70,Y,2.14,P,7,P,94,1,3,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,2,694.736825,f 640-700,f 640-700,0.99291503,3 +7,4,23346,7,2,7,3,35,3,0.39,68,Y,-0.53,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +1,2,23395,1,2,7,1,30,3,-1.42,63,Y,-1.09,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,615.78946,e 580-640,e 580-640,0.99291503,3 +5,4,23400,6,1,7,3,33,3,0.04,69,Y,-0.51,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +6,7,23404,7,2,7,1,45,3,0.31,67,Y,0.47,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +8,9,23426,8,1,7,4,38,3,0.67,68,Y,1,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +5,3,23432,5,2,7,1,37,3,0.01,68,Y,-0.54,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +5,7,23446,5,1,7,3,40,3,-0.11,69,Y,0.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +5,8,23452,5,1,7,4,40,3,-0.17,69,Y,0.62,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +10,10,23453,10,1,7,3,40,3,2.24,53,Y,2.95,P,7,P,94,1,2,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,23468,2,1,6,3,32,3,-1.17,68,Y,-1.76,F,7,P,95,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +7,7,23476,7,1,7,1,39.5,3,0.43,69,Y,0.41,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.7894535,g 700+,h 760-820,0.99291503,3 +5,5,23487,5,1,7,4,35,3,-0.01,68,Y,-0.24,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +1,3,23511,1,2,7,3,35,3,-1.65,69,Y,-0.81,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +9,8,23513,9,2,7,3,44,3,0.96,65,Y,0.61,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +8,9,23544,8,2,7,1,48,3,0.62,59,Y,1,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,899.999974,g 700+,i 820+,0.99291503,3 +4,5,23547,5,2,7,3,30.5,3,-0.2,68,Y,-0.04,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.6841965,e 580-640,e 580-640,0.99291503,3 +5,6,23551,5,2,7,1,35,3,-0.03,67,Y,0.1,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +6,5,23555,7,2,7,3,44,3,0.3,64,Y,-0.19,P,2,P,96,2,1,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +10,10,23612,10,1,7,4,37,3,1.66,45,Y,2.34,P,2,P,95,2,3,-43,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +1,3,23626,1,1,7,3,31,3,-2.71,52,Y,-0.59,P,7,P,95,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +2,2,23631,3,1,7,3,37,3,-0.7,64,Y,-0.92,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +9,9,23644,9,2,7,3,35,3,1.05,64,Y,0.89,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,9,23687,8,2,2,1,32,3,0.79,58,Y,1.05,P,7,P,95,2,4,-51,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +1,1,23700,1,1,3,4,22,3,-2.04,65,Y,-2.23,F,7,F,94,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,489.473676,c 460-520,c 460-520,0.99291503,3 +2,2,23721,2,1,2,4,44,3,-0.9,67,Y,-0.86,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +7,5,23745,7,2,7,4,34,3,0.31,65,Y,-0.05,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +7,9,23816,7,2,7,1,37,3,0.55,57,Y,1.06,P,7,P,94,2,2,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +3,4,23836,3,2,6,2,36,3,-0.65,58,Y,-0.36,P,2,P,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +8,5,23851,9,2,7,3,39,3,0.84,,Y,-0.19,P,7,P,94,1,4,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +7,6,23863,7,1,7,2,39,3,0.3,69,Y,0.05,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,757.894717,g 700+,g 700-760,0.99291503,3 +3,2,23866,4,2,7,2,33,3,-0.51,68,Y,-0.95,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +5,5,23870,5,2,7,3,37,3,-0.03,60,Y,-0.17,P,7,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +6,8,23907,7,1,8,3,26.5,3,0.26,68,Y,0.85,P,7,P,94,1,,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,560.5263045,d 520-580,d 520-580,0.99291503,3 +1,1,23911,1,1,3,1,23,3,-1.5,69,Y,-2.01,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,505.263149,c 460-520,c 460-520,0.99291503,3 +10,9,23942,10,2,6,2,31,3,1.45,70,Y,0.96,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +,,23948,,1,7,1,36,3,,59,Y,,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +2,2,23971,3,1,7,1,35.5,3,-0.77,68,Y,-0.94,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.6315615,g 700+,g 700-760,0.99291503,3 +1,1,23979,1,1,7,4,39.5,3,-1.32,58,Y,-1.64,F,7,P,96,1,5,-51,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,765.7894535,g 700+,h 760-820,0.99291503,3 +5,7,23985,5,2,7,3,30,3,-0.12,66,Y,0.44,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +8,7,23989,8,1,7,4,37,3,0.72,65,Y,0.29,P,2,P,96,2,4,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +3,2,24037,4,2,7,2,40,3,-0.51,50,Y,-0.96,P,7,P,94,1,3,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,773.68419,g 700+,h 760-820,0.99291503,3 +9,9,24074,9,2,7,1,38,3,1.19,69,Y,1.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +8,8,24079,8,2,7,3,43,3,0.83,67,Y,0.62,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +8,7,24098,9,2,7,3,37,3,0.86,69,Y,0.31,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,6,24117,7,2,7,2,32,3,0.29,69,Y,0.01,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +10,9,24129,10,1,7,5,40,3,1.55,63,Y,0.99,P,7,P,94,2,2,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +2,2,24143,2,2,7,3,34,3,-0.86,68,Y,-1.03,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +1,1,24205,1,1,7,2,31,3,-1.29,68,Y,-1.6,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +9,9,24210,9,2,7,3,37,3,0.88,68,Y,0.89,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +9,9,24236,9,2,7,3,31,3,1.2,69,Y,0.91,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +1,4,24257,1,2,7,3,37,3,-1.77,68,Y,-0.52,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +2,1,24262,2,1,2,4,28.5,3,-1.16,69,Y,-1.55,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,592.1052505,e 580-640,e 580-640,0.99291503,3 +,,24277,,2,5,6,24,3,,62,Y,,P,7,P,94,1,1,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,521.052622,d 520-580,d 520-580,0.99291503,3 +7,8,24297,7,2,7,3,37,3,0.4,68,Y,0.83,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +8,4,24310,8,2,6,3,30,3,0.63,68,Y,-0.51,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.78946,e 580-640,e 580-640,0.99291503,3 +6,6,24321,6,1,3,1,33,3,0.09,63,Y,0.16,P,7,P,94,1,2,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +2,1,24368,2,2,5,3,36,3,-1.04,69,Y,-1.42,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +7,9,24376,7,1,7,3,38,3,0.45,67,Y,0.87,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +10,10,24411,10,1,7,3,40,3,1.47,67,Y,1.51,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +4,6,24442,5,1,7,1,42,3,-0.22,67,Y,0.28,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +7,5,24457,7,1,8,1,37,3,0.55,68,Y,-0.17,P,7,P,94,1,4,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +1,1,24459,1,1,3,1,26,3,-1.38,65,Y,-1.68,F,2,F,95,1,5,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,552.631568,d 520-580,d 520-580,0.99291503,3 +7,8,24519,7,2,7,3,42,3,0.38,64,Y,0.65,P,2,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +3,3,24520,4,2,1,5,44,3,-0.49,65,Y,-0.66,P,7,P,94,1,3,-58,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,6,836.842082,g 700+,i 820+,0.99291503,3 +9,10,24539,9,2,6,4,39,3,0.99,52,Y,1.59,P,7,P,94,1,2,-45,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +2,1,24582,2,2,7,3,33,3,-1.05,68,Y,-1.34,F,7,F,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +9,7,24587,9,2,7,4,37,3,0.99,65,Y,0.29,P,7,P,94,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +5,6,24607,6,2,2,3,33,3,0.01,68,Y,0.25,F,7,P,96,2,3,-61,male,1,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +3,3,24608,4,2,7,3,32,3,-0.45,67,Y,-0.82,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +7,7,24616,7,1,7,1,35,3,0.4,68,Y,0.36,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +2,4,24632,3,2,7,3,36,3,-0.71,68,Y,-0.39,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +2,2,24636,3,2,3,3,34,3,-0.76,68,Y,-1.13,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +,,24638,10,2,7,5,40,3,1.97,68,Y,,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +2,4,24663,2,2,7,1,42,3,-1.04,60,Y,-0.49,P,7,P,95,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +8,8,24676,8,1,7,3,40,3,0.75,69,Y,0.78,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +1,1,24692,1,1,3,5,36,3,-2.19,69,Y,-1.59,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,710.526298,g 700+,g 700-760,0.99291503,3 +9,10,24703,10,2,7,1,38,3,1.3,67,Y,1.76,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +8,7,24717,8,1,7,2,37,3,0.76,64,Y,0.25,F,2,F,95,2,4,-62,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,726.315771,g 700+,g 700-760,0.99291503,3 +2,4,24719,3,2,7,3,38,3,-0.77,55,Y,-0.54,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +7,8,24729,8,2,7,1,33,3,0.59,64,Y,0.64,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +3,4,24739,3,2,7,3,35,3,-0.65,62,Y,-0.46,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +7,9,24763,7,1,7,3,38,3,0.47,56,Y,0.97,P,7,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +10,10,24784,10,2,7,3,38,3,1.62,63,Y,2.19,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +3,2,24810,3,1,7,3,39,3,-0.53,69,Y,-1.3,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +4,2,24814,4,2,7,1,38.5,3,-0.34,69,Y,-0.98,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.9999805,g 700+,g 700-760,0.99291503,3 +2,1,24818,2,2,3,5,43,3,-0.92,68,Y,-1.41,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,821.052609,g 700+,i 820+,0.99291503,3 +,,24839,,2,8,5,40,3,,69,Y,,P,7,P,94,1,1,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +8,4,24842,8,1,2,3,33,3,0.78,59,Y,-0.32,P,2,P,95,2,3,-57,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +8,9,24855,8,1,7,3,44,3,0.71,46,Y,0.91,P,7,P,94,1,4,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +1,3,24873,2,2,2,1,29,3,-1.25,66,Y,-0.85,P,,P,,1,3,,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +2,3,24905,3,2,7,3,34,3,-0.81,68,Y,-0.63,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +6,2,24906,6,1,4,3,37,3,0.06,69,Y,-0.97,P,2,P,94,1,2,-67,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +9,10,24966,9,1,7,3,38,3,1.14,68,Y,1.43,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +10,10,24977,10,2,7,2,37,3,2.28,68,Y,2.64,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,726.315771,g 700+,g 700-760,0.99291503,3 +6,4,24979,6,2,7,3,46,3,0.17,69,Y,-0.38,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,868.421028,g 700+,i 820+,0.99291503,3 +6,7,24984,7,2,7,3,37,3,0.29,66,Y,0.46,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +8,7,24986,8,2,7,1,41,3,0.82,67,Y,0.51,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +1,2,25014,1,1,3,1,26.5,3,-1.3,68,Y,-1.28,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,560.5263045,d 520-580,d 520-580,0.99291503,3 +9,8,25051,9,2,7,2,34,3,0.87,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +6,3,25056,7,2,3,6,25,3,0.35,66,Y,-0.79,P,7,P,94,1,4,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,536.842095,d 520-580,d 520-580,0.99291503,3 +3,1,25086,3,1,7,1,36.5,3,-0.72,68,Y,-1.5,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,718.4210345,g 700+,g 700-760,0.99291503,3 +4,6,25104,4,2,7,1,40,3,-0.29,66,Y,0.06,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +10,8,25167,10,2,7,4,39,3,1.97,66,Y,0.57,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +4,4,25170,4,2,7,1,43,3,-0.23,,Y,-0.38,F,7,P,96,2,3,,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +9,8,25178,9,2,7,4,39,3,0.93,69,Y,0.81,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +7,5,25206,7,2,7,3,33,3,0.47,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +3,2,25223,4,2,7,4,42,3,-0.48,69,Y,-0.89,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +3,6,25251,3,1,7,3,35,3,-0.55,65,Y,0.04,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +4,3,25259,5,2,3,6,20,3,-0.26,57,Y,-0.66,F,7,F,95,1,3,-50,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,457.89473,b 400-460,b 400-460,0.99291503,3 +3,3,25266,3,2,7,1,38,3,-0.56,69,Y,-0.79,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +4,5,25275,4,1,7,1,29,3,-0.37,64,Y,-0.23,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,599.999987,e 580-640,e 580-640,0.99291503,3 +2,2,25282,2,2,7,3,35,3,-0.86,68,Y,-1.05,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +4,4,25287,5,2,7,3,33.5,3,-0.2,69,Y,-0.53,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.0526155,f 640-700,f 640-700,0.99291503,3 +6,7,25290,7,2,7,1,40,3,0.3,68,Y,0.4,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +5,5,25306,5,1,7,1,41,3,0.04,69,Y,-0.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,789.473663,g 700+,h 760-820,0.99291503,3 +5,5,25314,5,2,7,3,40,3,-0.07,68,Y,-0.27,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +6,4,25338,6,2,7,3,43,3,0.22,68,Y,-0.34,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +1,1,25345,1,2,7,1,42,3,-1.53,69,Y,-1.7,F,7,F,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,805.263136,g 700+,h 760-820,0.99291503,3 +2,2,25368,2,1,7,3,31,3,-0.94,58,Y,-1.1,P,2,P,95,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +10,10,25382,10,2,7,2,36,3,3.25,63,Y,2.47,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +9,9,25388,9,1,7,3,36,3,1.07,68,Y,1.01,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +5,3,25418,5,1,7,4,35,3,-0.05,69,Y,-0.76,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +8,9,25440,8,2,7,3,36,3,0.61,69,Y,1.3,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +1,1,25453,1,2,4,4,37,3,-1.87,66,Y,-1.85,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +10,10,25457,10,2,7,3,40,3,1.75,69,Y,1.45,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +3,3,25460,3,1,7,1,38,3,-0.68,69,Y,-0.84,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +,,25469,,1,7,6,26,3,,64,Y,,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,552.631568,d 520-580,d 520-580,0.99291503,3 +10,10,25500,10,1,7,3,41,3,2.06,68,Y,2.08,P,2,P,96,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +7,5,25506,8,2,7,3,40,3,0.56,69,Y,-0.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +6,7,25513,6,2,7,4,34,3,0.19,70,Y,0.48,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,678.947352,f 640-700,f 640-700,0.99291503,3 +9,5,25524,9,2,5,3,31,3,1.24,65,Y,-0.2,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +8,9,25551,8,1,7,6,36,3,0.69,48,Y,1.34,P,7,P,95,2,3,-41,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,710.526298,g 700+,g 700-760,0.99291503,3 +1,3,25580,2,2,7,2,34,3,-1.09,69,Y,-0.8,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,678.947352,f 640-700,f 640-700,0.99291503,3 +6,4,25619,6,1,7,3,41,3,0.2,68,Y,-0.55,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +,,25632,,1,7,5,44,3,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,836.842082,g 700+,i 820+,0.99291503,3 +4,6,25660,5,2,7,3,39,3,-0.22,66,Y,0.05,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +4,2,25665,4,2,7,1,38,3,-0.4,63,Y,-0.9,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +6,2,25679,6,1,3,4,38,3,0.08,69,Y,-1.14,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +8,7,25700,8,2,7,4,41,3,0.57,68,Y,0.53,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +4,5,25741,4,2,7,1,42,3,-0.42,66,Y,-0.08,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +3,4,25752,3,1,7,1,35,3,-0.59,69,Y,-0.4,F,7,F,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +9,9,25761,10,1,7,3,37,3,1.28,69,Y,1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +8,6,25770,8,2,7,5,40,3,0.77,66,Y,0.23,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,773.68419,g 700+,h 760-820,0.99291503,3 +2,6,25810,2,1,7,3,33,3,-1.02,63,Y,0,F,2,P,96,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +4,3,25833,4,2,7,2,33,3,-0.37,65,Y,-0.65,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +6,4,25859,6,2,7,3,41,3,0.08,66,Y,-0.55,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +,,25861,,1,7,5,42,3,,60,Y,,P,7,P,95,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +7,6,25866,8,1,7,3,32,3,0.55,68,Y,0.14,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +5,6,25887,5,1,7,2,36,3,-0.03,68,Y,0.07,F,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,710.526298,g 700+,g 700-760,0.99291503,3 +4,2,25900,5,1,7,1,40,3,-0.17,61,Y,-1.15,F,7,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +4,4,25904,5,2,7,4,41,3,-0.24,65,Y,-0.28,P,7,P,94,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +1,2,25907,1,2,2,4,36,3,-1.54,69,Y,-1.11,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,710.526298,g 700+,g 700-760,0.99291503,3 +5,8,25909,6,1,6,2,33,3,-0.01,64,Y,0.55,P,7,P,94,1,3,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +8,7,25924,8,2,2,4,40,3,0.64,68,Y,0.3,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +2,3,25963,2,2,2,1,35,3,-1.02,67,Y,-0.63,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,694.736825,f 640-700,f 640-700,0.99291503,3 +5,7,26007,6,1,7,3,36,3,0.04,67,Y,0.32,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +3,1,26027,3,1,7,3,32,3,-0.53,64,Y,-1.31,P,2,P,95,2,5,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +10,10,26028,10,2,7,1,44,3,2.61,52,Y,2.35,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +8,8,26054,8,2,7,3,43,3,0.82,65,Y,0.58,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,821.052609,g 700+,i 820+,0.99291503,3 +10,10,26097,10,2,7,3,37,3,2.1,62,Y,1.57,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +7,7,26106,7,1,7,3,37,3,0.46,59,Y,0.4,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +10,10,26108,10,2,7,1,38,3,1.38,69,Y,1.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +8,5,26165,8,2,4,3,28,3,0.66,57,Y,-0.07,P,7,P,94,1,2,-50,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,584.210514,e 580-640,e 580-640,0.99291503,3 +2,1,26170,2,2,7,1,42,3,-1.02,68,Y,-1.68,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +6,4,26179,6,2,7,3,32,3,0.1,64,Y,-0.29,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +7,8,26183,7,1,7,3,35,3,0.46,49,Y,0.75,P,2,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +4,4,26212,4,2,7,4,39,3,-0.25,53,Y,-0.4,F,7,P,96,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +8,7,26229,9,2,7,4,41,3,0.87,66,Y,0.45,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +10,10,26251,10,2,7,3,40,3,1.7,68,Y,2.16,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +7,6,26255,7,1,4,1,33,3,0.4,63,Y,0.17,P,7,P,94,1,4,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,663.157879,f 640-700,f 640-700,0.99291503,3 +2,3,26270,2,1,7,5,29,3,-1,68,Y,-0.84,P,6,P,94,2,5,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,599.999987,e 580-640,e 580-640,0.99291503,3 +2,2,26282,3,1,7,3,39,3,-0.73,69,Y,-0.95,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +6,7,26302,6,1,7,1,45,3,0.22,69,Y,0.36,P,7,P,94,1,1,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +5,5,26304,6,2,7,1,42,3,0.09,66,Y,-0.21,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +1,1,26319,1,1,3,4,44,3,-1.83,68,Y,-1.72,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,836.842082,g 700+,i 820+,0.99291503,3 +4,7,26322,4,2,7,3,37,3,-0.27,65,Y,0.44,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +4,4,26324,4,1,2,5,34,3,-0.29,68,Y,-0.44,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,678.947352,f 640-700,f 640-700,0.99291503,3 +1,2,26328,2,2,2,4,37,3,-1.21,68,Y,-1.28,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +10,10,26330,10,2,7,1,39,3,1.71,54,Y,1.37,P,7,P,94,1,4,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +10,5,26332,10,1,7,5,46,3,2.55,66,Y,0,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,868.421028,g 700+,i 820+,0.99291503,3 +6,5,26338,6,2,7,3,26.5,3,0.08,68,Y,-0.22,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,560.5263045,d 520-580,d 520-580,0.99291503,3 +4,4,26359,4,2,7,1,45,3,-0.3,41,Y,-0.51,P,7,P,94,1,,-34,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,852.631555,g 700+,i 820+,0.99291503,3 +2,2,26380,2,1,8,4,42,3,-0.89,66,Y,-1.24,P,2,P,94,1,5,-64,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,805.263136,g 700+,h 760-820,0.99291503,3 +6,5,26398,6,1,7,4,39,3,0.11,66,Y,-0.21,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,26406,1,2,4,1,37,3,-1.56,69,Y,-1.97,P,2,P,95,1,2,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +5,6,26407,5,1,7,3,38,3,-0.12,61,Y,0.13,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +9,8,26459,9,1,7,1,39,3,0.93,64,Y,0.74,P,7,P,94,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +2,2,26460,3,1,7,1,29.5,3,-0.81,66,Y,-0.99,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,607.8947235,e 580-640,e 580-640,0.99291503,3 +6,4,26467,7,2,7,3,41,3,0.27,68,Y,-0.52,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,789.473663,g 700+,h 760-820,0.99291503,3 +4,2,26502,4,1,8,4,29,3,-0.32,69,Y,-0.89,P,7,P,94,1,1,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,599.999987,e 580-640,e 580-640,0.99291503,3 +10,10,26541,10,2,7,1,42,3,1.45,64,Y,1.3,P,2,P,95,2,4,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +5,2,26547,5,2,7,4,40,3,-0.03,69,Y,-0.99,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +6,5,26594,6,1,7,1,47,3,0.27,67,Y,-0.08,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,884.210501,g 700+,i 820+,0.99291503,3 +1,1,26649,1,1,7,3,36,3,-1.33,69,Y,-1.37,P,2,P,95,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +6,5,26685,6,1,7,4,45,3,0.19,68,Y,-0.22,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,852.631555,g 700+,i 820+,0.99291503,3 +9,9,26732,9,1,7,3,40,3,1.17,69,Y,1.16,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +4,3,26734,5,1,2,2,31,3,-0.29,67,Y,-0.63,F,7,P,95,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,2,631.578933,e 580-640,e 580-640,0.99291503,3 +9,8,26735,9,2,7,1,42,3,0.96,69,Y,0.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +7,10,26736,7,2,7,3,33,3,0.31,51,Y,1.57,P,2,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,663.157879,f 640-700,f 640-700,0.99291503,3 +2,2,26743,2,2,7,3,36,3,-0.97,62,Y,-1.03,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +3,3,26747,3,2,4,1,36,3,-0.57,69,Y,-0.79,P,2,P,94,1,4,-67,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +9,9,26772,9,2,7,1,40,3,0.95,67,Y,1.08,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,773.68419,g 700+,h 760-820,0.99291503,3 +3,5,26783,3,2,7,3,31,3,-0.54,68,Y,-0.28,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +3,5,26788,3,2,7,4,29.5,3,-0.69,69,Y,-0.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,607.8947235,e 580-640,e 580-640,0.99291503,3 +4,6,26817,4,2,7,1,38,3,-0.25,49,Y,0.21,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,742.105244,g 700+,g 700-760,0.99291503,3 +3,3,26839,4,1,7,3,37.5,3,-0.46,67,Y,-0.7,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,734.2105075,g 700+,g 700-760,0.99291503,3 +2,2,26842,2,1,2,1,42,3,-0.92,67,Y,-1.24,F,7,P,95,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +6,8,26850,6,2,7,3,34,3,0.19,68,Y,0.82,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +7,7,26888,7,2,7,3,45,3,0.4,68,Y,0.45,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,852.631555,g 700+,i 820+,0.99291503,3 +1,1,26892,1,1,3,4,27.7,3,-1.61,53,Y,-2.61,P,7,P,95,2,3,-46,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,579.4736721,d 520-580,d 520-580,0.99291503,3 +6,8,26898,7,1,7,2,33,3,0.24,61,Y,0.83,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.157879,f 640-700,f 640-700,0.99291503,3 +,,26899,8,2,7,4,35,3,0.76,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +10,9,26908,10,1,3,6,26,3,1.49,67,Y,1.05,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,552.631568,d 520-580,d 520-580,0.99291503,3 +6,9,26941,6,1,7,4,37,3,0.26,69,Y,1.11,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,726.315771,g 700+,g 700-760,0.99291503,3 +9,9,26950,9,1,7,1,43,3,0.9,40,Y,1,P,7,P,94,1,3,-33,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +5,6,26957,5,1,7,4,38,3,-0.2,68,Y,0.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +1,1,26960,1,2,3,3,23.5,3,-1.39,66,Y,-1.76,F,2,F,95,1,3,-64,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,513.1578855,c 460-520,c 460-520,0.99291503,3 +3,2,26966,3,2,7,1,36,3,-0.62,69,Y,-1.15,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,710.526298,g 700+,g 700-760,0.99291503,3 +2,2,26974,2,1,7,3,37,3,-0.91,68,Y,-0.97,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,726.315771,g 700+,g 700-760,0.99291503,3 +1,2,26995,1,1,7,3,35,3,-1.53,68,Y,-1.15,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.736825,f 640-700,f 640-700,0.99291503,3 +8,5,26996,8,1,7,3,38,3,0.73,69,Y,-0.14,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.105244,g 700+,g 700-760,0.99291503,3 +2,3,27026,3,2,7,3,39,3,-0.81,69,Y,-0.86,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +3,4,27042,3,1,7,3,42,3,-0.67,69,Y,-0.34,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,805.263136,g 700+,h 760-820,0.99291503,3 +9,5,27049,9,2,7,3,32,3,0.98,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +8,7,27058,8,2,7,3,39,3,0.59,69,Y,0.3,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,757.894717,g 700+,g 700-760,0.99291503,3 +1,1,27063,2,2,7,1,44,3,-1.19,67,Y,-1.73,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,836.842082,g 700+,i 820+,0.99291503,3 +4,1,27064,4,1,7,3,32,3,-0.41,59,Y,-1.7,F,7,P,95,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +2,3,27066,2,2,7,1,39,3,-1.09,69,Y,-0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,757.894717,g 700+,g 700-760,0.99291503,3 +4,7,27072,5,1,7,3,33.5,3,-0.21,62,Y,0.47,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,671.0526155,f 640-700,f 640-700,0.99291503,3 +8,8,27073,8,2,7,1,42,3,0.78,66,Y,0.72,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +1,1,27095,2,2,3,1,27,3,-1.17,69,Y,-2.19,F,2,P,96,1,3,-67,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,568.421041,d 520-580,d 520-580,0.99291503,3 +1,1,27098,1,2,3,1,30,3,-2.45,69,Y,-2.46,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,615.78946,e 580-640,e 580-640,0.99291503,3 +2,2,27106,3,1,3,4,38,3,-0.76,69,Y,-1.03,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +6,9,27117,7,1,7,2,32,3,0.25,69,Y,1.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,647.368406,f 640-700,f 640-700,0.99291503,3 +2,3,27122,3,2,7,1,42,3,-0.79,69,Y,-0.82,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,805.263136,g 700+,h 760-820,0.99291503,3 +7,5,27136,7,2,7,4,35,3,0.35,70,Y,-0.12,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,694.736825,f 640-700,f 640-700,0.99291503,3 +2,2,27139,2,1,7,3,31,3,-1.06,57,Y,-0.96,F,7,P,95,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,631.578933,e 580-640,e 580-640,0.99291503,3 +2,2,27140,2,2,7,3,36,3,-0.99,61,Y,-0.9,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,710.526298,g 700+,g 700-760,0.99291503,3 +9,8,27168,9,2,7,3,40,3,1.11,69,Y,0.61,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,773.68419,g 700+,h 760-820,0.99291503,3 +6,6,27184,6,2,5,4,40,3,0.25,68,Y,0.1,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,773.68419,g 700+,h 760-820,0.99291503,3 +8,8,27187,8,2,7,4,38,3,0.58,66,Y,0.62,F,7,P,95,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,742.105244,g 700+,g 700-760,0.99291503,3 +10,9,27190,10,2,7,4,41,3,1.77,68,Y,1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +10,10,27202,10,2,7,3,44,3,1.96,64,Y,1.93,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,836.842082,g 700+,i 820+,0.99291503,3 +4,3,27223,4,1,7,5,42,3,-0.42,68,Y,-0.52,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +4,3,27257,5,2,4,6,21,3,-0.09,62,Y,-0.83,F,7,P,95,1,3,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,473.684203,c 460-520,c 460-520,0.99291503,3 +3,1,27271,3,1,3,3,20,3,-0.69,68,Y,-1.77,P,7,P,94,1,1,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,457.89473,b 400-460,b 400-460,0.99291503,3 +4,4,27317,4,1,2,4,41,3,-0.37,63,Y,-0.51,P,7,P,94,1,2,-56,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,789.473663,g 700+,h 760-820,0.99291503,3 +7,8,27329,7,2,7,1,32,3,0.5,,Y,0.57,P,7,P,94,1,3,,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.368406,f 640-700,f 640-700,0.99291503,3 +2,4,27330,2,2,7,1,43,3,-1.05,68,Y,-0.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,821.052609,g 700+,i 820+,0.99291503,3 +3,2,27356,3,2,2,4,35.5,3,-0.57,66,Y,-1.27,P,7,P,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,702.6315615,g 700+,g 700-760,0.99291503,3 +6,6,27359,6,2,7,1,37,3,0.26,68,Y,0.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +,,27388,,1,7,6,31,3,,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,631.578933,e 580-640,e 580-640,0.99291503,3 +7,6,27399,7,1,6,5,48,3,0.55,69,Y,0.18,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,899.999974,g 700+,i 820+,0.99291503,3 +8,7,27413,8,2,7,3,36.5,3,0.62,67,Y,0.51,P,2,P,95,2,2,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,718.4210345,g 700+,g 700-760,0.99291503,3 +7,8,27426,7,2,7,3,34,3,0.39,67,Y,0.62,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.947352,f 640-700,f 640-700,0.99291503,3 +7,8,27440,7,2,7,1,37,3,0.4,67,Y,0.6,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,726.315771,g 700+,g 700-760,0.99291503,3 +9,8,27473,9,2,7,5,42,3,1.19,67,Y,0.6,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,805.263136,g 700+,h 760-820,0.99291503,3 +4,5,27476,4,2,7,3,32,3,-0.37,67,Y,-0.16,P,2,P,95,2,3,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,647.368406,f 640-700,f 640-700,0.99291503,3 +10,10,38,10,2,7,6,35,2.6,2.4,62,Y,3.22,P,2,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,654.736825,f 640-700,f 640-700,0.9713577,2.6 +2,1,58,2,2,2,1,31,2.6,-1.04,69,Y,-1.49,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,591.578933,e 580-640,e 580-640,0.9713577,2.6 +6,5,141,6,2,7,1,25,2.6,0.26,62,Y,-0.09,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,496.842095,c 460-520,c 460-520,0.9713577,2.6 +7,4,240,7,2,7,3,36,2.6,0.39,66,Y,-0.39,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +9,3,254,9,2,7,1,26,2.6,1.28,68,Y,-0.85,F,7,F,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,512.631568,c 460-520,c 460-520,0.9713577,2.6 +1,1,298,2,1,3,1,27,2.6,-1.23,60,Y,-1.72,F,7,F,95,2,1,-53,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,528.421041,d 520-580,d 520-580,0.9713577,2.6 +1,1,299,1,1,3,1,23,2.6,-1.42,68,Y,-1.77,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,465.263149,c 460-520,c 460-520,0.9713577,2.6 +3,1,302,4,1,7,3,40,2.6,-0.44,67,Y,-1.36,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +10,10,305,10,2,7,3,38,2.6,1.75,67,Y,1.94,P,7,P,94,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +3,3,426,3,1,7,2,34,2.6,-0.7,68,Y,-0.67,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.947352,e 580-640,e 580-640,0.9713577,2.6 +1,1,507,1,2,2,4,31,2.6,-1.26,66,Y,-1.87,F,7,F,94,1,5,-59,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,591.578933,e 580-640,e 580-640,0.9713577,2.6 +9,8,525,10,2,7,3,36,2.6,1.26,68,Y,0.64,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +7,3,537,7,2,7,3,35.3,2.6,0.47,68,Y,-0.8,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736669,f 640-700,f 640-700,0.9713577,2.6 +5,5,572,5,2,7,2,30.5,2.6,-0.1,63,Y,-0.27,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,583.6841965,e 580-640,e 580-640,0.9713577,2.6 +1,1,697,1,1,3,1,29.5,2.6,-1.61,67,Y,-1.48,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,567.8947235,d 520-580,d 520-580,0.9713577,2.6 +7,4,715,7,2,7,1,45,2.6,0.48,61,Y,-0.26,P,2,P,96,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.631555,g 700+,h 760-820,0.9713577,2.6 +1,1,723,1,1,3,1,24,2.6,-1.6,68,Y,-1.77,F,7,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,481.052622,c 460-520,c 460-520,0.9713577,2.6 +10,10,725,10,2,7,3,36,2.6,1.6,62,Y,2.17,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +4,5,849,4,2,7,2,30,2.6,-0.41,67,Y,-0.33,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,575.78946,d 520-580,d 520-580,0.9713577,2.6 +6,8,872,6,2,7,4,33,2.6,0.2,63,Y,0.79,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,623.157879,e 580-640,e 580-640,0.9713577,2.6 +7,6,876,7,1,3,3,23,2.6,0.48,69,Y,0.07,P,7,P,94,1,1,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,465.263149,c 460-520,c 460-520,0.9713577,2.6 +2,2,896,3,2,7,3,35,2.6,-0.8,67,Y,-1.09,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,4,929,5,1,3,6,28,2.6,-0.09,62,Y,-0.47,P,7,P,94,1,2,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,544.210514,d 520-580,d 520-580,0.9713577,2.6 +5,3,1130,5,2,7,3,42,2.6,-0.08,68,Y,-0.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,765.263136,g 700+,h 760-820,0.9713577,2.6 +8,9,1138,8,2,2,4,43,2.6,0.64,64,Y,0.89,P,7,P,94,1,4,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,781.052609,g 700+,h 760-820,0.9713577,2.6 +3,2,1179,4,1,3,2,23.5,2.6,-0.51,66,Y,-1,F,7,P,95,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,473.1578855,c 460-520,c 460-520,0.9713577,2.6 +2,1,1315,2,2,7,3,36,2.6,-0.91,67,Y,-1.69,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +3,6,1335,3,2,7,3,39,2.6,-0.59,57,Y,0.25,P,2,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +2,1,1344,2,1,7,2,31.5,2.6,-0.96,69,Y,-1.49,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,599.4736695,e 580-640,e 580-640,0.9713577,2.6 +1,1,1377,1,2,2,4,25,2.6,-1.64,59,Y,-2.53,F,2,F,95,1,2,-57,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,496.842095,c 460-520,c 460-520,0.9713577,2.6 +6,5,1387,6,2,6,1,39,2.6,0.22,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +9,6,1403,9,2,7,1,42,2.6,1.21,55,Y,0.25,P,7,P,94,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +8,5,1438,8,2,3,1,32,2.6,0.78,68,Y,0,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,607.368406,e 580-640,e 580-640,0.9713577,2.6 +1,1,1474,2,2,3,1,32,2.6,-1.2,68,Y,-1.5,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,607.368406,e 580-640,e 580-640,0.9713577,2.6 +6,4,1507,7,2,7,3,44,2.6,0.26,69,Y,-0.37,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.842082,g 700+,h 760-820,0.9713577,2.6 +8,9,1537,8,2,7,3,43,2.6,0.6,47,Y,1.09,P,2,P,96,2,2,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,781.052609,g 700+,h 760-820,0.9713577,2.6 +7,7,1552,7,2,4,1,31,2.6,0.54,66,Y,0.3,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,591.578933,e 580-640,e 580-640,0.9713577,2.6 +4,3,1585,4,2,7,2,27,2.6,-0.31,67,Y,-0.74,P,2,P,95,1,5,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,528.421041,d 520-580,d 520-580,0.9713577,2.6 +2,2,1600,3,1,7,1,40.5,2.6,-0.74,66,Y,-1.22,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,741.5789265,g 700+,g 700-760,0.9713577,2.6 +4,5,1622,4,2,7,3,41,2.6,-0.3,69,Y,-0.18,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +1,1,1633,1,1,3,4,33,2.6,-1.35,57,Y,-1.3,F,7,F,95,2,4,-50,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,623.157879,e 580-640,e 580-640,0.9713577,2.6 +7,4,1645,7,2,4,3,33.5,2.6,0.34,68,Y,-0.36,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +10,3,1715,10,2,7,3,27,2.6,1.63,69,Y,-0.82,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,528.421041,d 520-580,d 520-580,0.9713577,2.6 +1,1,1737,2,1,3,3,23.5,2.6,-1.16,68,Y,-1.59,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,473.1578855,c 460-520,c 460-520,0.9713577,2.6 +7,6,1739,7,1,2,1,39.5,2.6,0.44,64,Y,0.02,P,7,P,94,1,4,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,725.7894535,g 700+,g 700-760,0.9713577,2.6 +8,9,1798,8,1,7,3,39,2.6,0.68,61,Y,1.07,P,2,P,95,2,2,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +3,2,1818,4,2,7,3,39,2.6,-0.44,62,Y,-0.9,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +7,5,1843,7,2,7,1,40.5,2.6,0.49,58,Y,-0.2,P,7,P,94,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,741.5789265,g 700+,g 700-760,0.9713577,2.6 +3,2,1880,3,2,7,3,36,2.6,-0.63,67,Y,-0.96,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +1,1,1920,1,2,3,3,34,2.6,-1.46,69,Y,-1.73,P,2,P,95,1,4,-67,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +10,8,1953,10,2,7,4,39,2.6,1.68,63,Y,0.76,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.894717,g 700+,g 700-760,0.9713577,2.6 +5,3,1970,5,2,7,1,43,2.6,-0.02,68,Y,-0.57,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,781.052609,g 700+,h 760-820,0.9713577,2.6 +6,7,1996,6,1,7,3,36,2.6,0.09,63,Y,0.37,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +7,7,2033,7,2,7,3,40,2.6,0.39,67,Y,0.38,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +1,1,2046,1,1,3,2,24.7,2.6,-1.54,63,Y,-1.43,F,2,P,96,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,492.1052531,c 460-520,c 460-520,0.9713577,2.6 +10,10,2065,10,2,7,3,37,2.6,1.93,68,Y,2.14,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +,,2147,1,2,7,3,40,2.6,-1.52,64,X,,F,7,F,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +1,2,2190,2,2,3,3,29.5,2.6,-1.25,67,Y,-1.13,F,7,F,94,1,5,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,567.8947235,d 520-580,d 520-580,0.9713577,2.6 +3,3,2215,3,2,7,3,35,2.6,-0.64,69,Y,-0.7,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,3,2226,5,2,7,2,26,2.6,-0.3,61,Y,-0.6,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,512.631568,c 460-520,c 460-520,0.9713577,2.6 +8,7,2231,8,2,7,2,38,2.6,0.72,66,Y,0.52,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,702.105244,g 700+,g 700-760,0.9713577,2.6 +9,8,2248,9,1,7,3,35,2.6,1.23,67,Y,0.65,P,7,P,95,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +7,5,2269,7,2,4,3,30,2.6,0.31,67,Y,-0.23,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,575.78946,d 520-580,d 520-580,0.9713577,2.6 +1,1,2287,2,1,7,2,32,2.6,-1.1,67,Y,-1.71,F,7,F,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,607.368406,e 580-640,e 580-640,0.9713577,2.6 +,,2294,1,1,7,6,21,2.6,-1.28,49,X,,F,2,P,96,1,2,-47,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,433.684203,b 400-460,b 400-460,0.9713577,2.6 +1,1,2300,1,1,2,2,30,2.6,-1.74,69,Y,-1.47,F,7,F,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,2,575.78946,d 520-580,d 520-580,0.9713577,2.6 +1,2,2363,2,2,8,6,31,2.6,-1.07,58,Y,-1.05,P,2,P,95,1,1,-56,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,1,591.578933,e 580-640,e 580-640,0.9713577,2.6 +4,4,2401,4,2,7,3,39,2.6,-0.34,49,Y,-0.29,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +5,5,2403,5,2,7,3,37,2.6,-0.08,68,Y,-0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +9,9,2408,9,2,2,3,33,2.6,0.9,67,Y,1,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +2,4,2410,3,2,7,1,40,2.6,-0.76,58,Y,-0.28,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +8,8,2427,9,1,3,6,30,2.6,0.89,67,Y,0.59,F,7,F,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,575.78946,d 520-580,d 520-580,0.9713577,2.6 +3,2,2522,4,2,7,2,37,2.6,-0.48,65,Y,-0.92,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,686.315771,f 640-700,f 640-700,0.9713577,2.6 +3,2,2555,4,2,7,3,39,2.6,-0.52,65,Y,-0.9,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +6,3,2586,6,2,7,1,38,2.6,0.14,68,Y,-0.79,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,702.105244,g 700+,g 700-760,0.9713577,2.6 +5,4,2613,5,1,3,1,25,2.6,0.04,64,Y,-0.39,F,7,P,96,1,5,-57,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,496.842095,c 460-520,c 460-520,0.9713577,2.6 +1,1,2662,2,2,3,6,29,2.6,-1.18,69,Y,-1.99,F,7,F,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,559.999987,d 520-580,d 520-580,0.9713577,2.6 +3,3,2663,3,2,7,1,42,2.6,-0.51,51,Y,-0.73,P,7,P,94,1,4,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +7,5,2667,7,2,7,1,45,2.6,0.35,66,Y,-0.03,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.631555,g 700+,h 760-820,0.9713577,2.6 +6,6,2713,6,1,3,1,34.5,2.6,0.14,67,Y,0.03,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,646.8420885,f 640-700,f 640-700,0.9713577,2.6 +3,2,2755,3,1,8,3,33.5,2.6,-0.62,65,Y,-1.26,F,2,F,95,1,2,-63,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +9,10,2771,9,2,7,3,36,2.6,0.88,67,Y,1.32,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +,,2814,,1,,6,42,2.6,-1.02,66,Y,-1.24,F,2,F,95,1,3,-64,female,0,0,,,NO,0,0,0,0,0,c Failed,FALSE,1,765.263136,g 700+,h 760-820,0.9713577,2.6 +6,7,2821,7,2,7,1,47,2.6,0.32,63,Y,0.46,P,2,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,844.210501,g 700+,i 820+,0.9713577,2.6 +2,1,2898,3,2,3,6,22,2.6,-0.58,60,Y,-1.38,P,7,P,94,1,3,-53,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,449.473676,b 400-460,b 400-460,0.9713577,2.6 +5,3,2903,5,2,7,1,37,2.6,-0.16,60,Y,-0.67,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +1,1,2920,1,1,7,3,36,2.6,-1.63,66,Y,-2.15,F,7,F,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +7,7,2931,7,2,7,2,39,2.6,0.29,57,Y,0.38,P,7,P,94,1,5,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,717.894717,g 700+,g 700-760,0.9713577,2.6 +5,3,2935,5,2,7,1,40,2.6,-0.09,67,Y,-0.65,P,7,P,94,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +9,8,2983,9,2,7,2,40,2.6,1.04,64,Y,0.56,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.68419,g 700+,g 700-760,0.9713577,2.6 +5,4,3000,5,2,7,3,45,2.6,-0.03,67,Y,-0.55,F,7,F,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,812.631555,g 700+,h 760-820,0.9713577,2.6 +4,3,3029,4,2,1,1,38,2.6,-0.36,66,Y,-0.78,P,7,P,94,1,3,-59,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,702.105244,g 700+,g 700-760,0.9713577,2.6 +7,8,3036,8,2,7,3,30.5,2.6,0.54,44,Y,0.74,P,7,P,94,1,2,-37,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,583.6841965,e 580-640,e 580-640,0.9713577,2.6 +4,7,3149,5,2,7,2,28,2.6,-0.3,63,Y,0.22,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,544.210514,d 520-580,d 520-580,0.9713577,2.6 +9,6,3170,9,2,7,2,38,2.6,1.01,68,Y,0.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,702.105244,g 700+,g 700-760,0.9713577,2.6 +1,1,3243,1,1,3,1,23.5,2.6,-1.79,66,Y,-1.79,F,7,F,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,473.1578855,c 460-520,c 460-520,0.9713577,2.6 +10,10,3274,10,2,3,6,22,2.6,1.91,66,Y,2.14,P,7,P,94,1,2,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,449.473676,b 400-460,b 400-460,0.9713577,2.6 +9,8,3379,9,2,7,1,42,2.6,0.96,69,Y,0.83,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +5,2,3382,5,2,1,1,40,2.6,-0.1,61,Y,-1.21,P,7,P,94,1,2,-54,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +3,2,3384,4,1,7,3,31,2.6,-0.52,69,Y,-1.09,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +3,2,3397,3,1,4,4,32,2.6,-0.63,67,Y,-1.22,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,607.368406,e 580-640,e 580-640,0.9713577,2.6 +8,8,3408,8,2,7,1,41,2.6,0.66,67,Y,0.56,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.473663,g 700+,g 700-760,0.9713577,2.6 +6,7,3440,6,2,7,3,38,2.6,0.11,67,Y,0.29,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +6,6,3531,6,2,7,3,39,2.6,0.15,67,Y,0.07,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +2,3,3533,2,1,3,4,32,2.6,-1.02,66,Y,-0.82,P,7,P,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,607.368406,e 580-640,e 580-640,0.9713577,2.6 +5,6,3538,5,1,3,5,41,2.6,-0.06,66,Y,0.04,P,7,P,94,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,749.473663,g 700+,g 700-760,0.9713577,2.6 +1,2,3607,2,2,7,4,27,2.6,-1.18,67,Y,-1.17,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,528.421041,d 520-580,d 520-580,0.9713577,2.6 +2,3,3680,2,2,7,3,38,2.6,-0.84,51,Y,-0.81,P,7,P,94,1,4,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +7,8,3683,7,2,7,3,31,2.6,0.48,55,Y,0.55,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +2,3,3708,2,1,7,3,25.5,2.6,-1.01,64,Y,-0.8,P,7,P,95,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,504.7368315,c 460-520,c 460-520,0.9713577,2.6 +2,1,3721,2,1,7,4,35,2.6,-1.05,64,Y,-1.44,F,2,F,96,2,3,-62,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,2,3756,4,2,7,1,38,2.6,-0.37,69,Y,-0.88,P,2,P,96,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.105244,g 700+,g 700-760,0.9713577,2.6 +8,9,3763,9,2,7,2,40,2.6,0.83,63,Y,0.92,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.68419,g 700+,g 700-760,0.9713577,2.6 +5,4,3818,6,2,7,3,35,2.6,0.02,70,Y,-0.41,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,6,3875,4,1,7,4,38,2.6,-0.29,63,Y,0.23,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,702.105244,g 700+,g 700-760,0.9713577,2.6 +1,2,3903,2,2,7,3,37,2.6,-1.24,67,Y,-1.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +4,4,3933,4,1,7,2,35,2.6,-0.37,60,Y,-0.53,F,7,P,95,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +3,5,3954,3,2,7,4,36,2.6,-0.55,69,Y,-0.08,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,670.526298,f 640-700,f 640-700,0.9713577,2.6 +9,10,3978,9,2,7,4,43,2.6,1.17,67,Y,1.3,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,781.052609,g 700+,h 760-820,0.9713577,2.6 +7,10,4102,7,2,7,3,39,2.6,0.43,61,Y,1.34,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +8,6,4127,8,2,7,3,34,2.6,0.73,64,Y,0.2,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +4,2,4192,4,2,7,3,42,2.6,-0.29,68,Y,-0.9,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,765.263136,g 700+,h 760-820,0.9713577,2.6 +4,5,4256,4,2,4,4,36,2.6,-0.4,67,Y,-0.21,P,7,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,670.526298,f 640-700,f 640-700,0.9713577,2.6 +10,3,4317,10,2,7,1,33,2.6,1.75,58,Y,-0.54,F,2,F,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,623.157879,e 580-640,e 580-640,0.9713577,2.6 +,,4377,10,2,7,4,40,2.6,1.49,65,Y,,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.68419,g 700+,g 700-760,0.9713577,2.6 +7,8,4404,7,2,7,3,39,2.6,0.51,68,Y,0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +4,3,4416,4,2,7,2,33,2.6,-0.43,68,Y,-0.67,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +9,4,4426,9,2,7,3,34,2.6,1.16,66,Y,-0.39,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +9,7,4430,9,2,7,3,40,2.6,0.93,64,Y,0.42,P,2,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +3,4,4436,4,2,2,3,35,2.6,-0.49,68,Y,-0.48,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +6,7,4443,6,2,7,3,33.5,2.6,0.19,64,Y,0.49,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +5,3,4472,5,2,7,4,40,2.6,-0.03,66,Y,-0.6,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.68419,g 700+,g 700-760,0.9713577,2.6 +1,1,4493,2,1,7,3,22,2.6,-1.14,60,Y,-2.11,F,2,F,95,2,5,-58,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,449.473676,b 400-460,b 400-460,0.9713577,2.6 +5,4,4504,6,2,7,4,39,2.6,0.02,64,Y,-0.24,F,7,P,96,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,717.894717,g 700+,g 700-760,0.9713577,2.6 +9,7,4535,9,1,7,3,39,2.6,1.22,49,Y,0.5,P,7,P,94,1,4,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +2,1,4584,3,1,7,3,33,2.6,-0.75,69,Y,-1.38,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +1,3,4666,1,1,1,6,24,2.6,-1.53,67,Y,-0.65,F,7,F,94,1,2,-60,female,0,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,1,481.052622,c 460-520,c 460-520,0.9713577,2.6 +4,6,4798,4,2,7,2,32,2.6,-0.37,64,Y,0.04,P,2,P,95,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.368406,e 580-640,e 580-640,0.9713577,2.6 +2,2,4875,3,2,3,1,31.5,2.6,-0.75,66,Y,-1.26,F,7,P,95,1,4,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,599.4736695,e 580-640,e 580-640,0.9713577,2.6 +2,2,4888,3,2,1,1,24,2.6,-0.8,65,Y,-1.27,F,7,P,95,1,3,-58,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,4,481.052622,c 460-520,c 460-520,0.9713577,2.6 +5,5,4896,5,2,7,1,38,2.6,-0.11,68,Y,-0.05,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.105244,g 700+,g 700-760,0.9713577,2.6 +2,5,4910,3,1,7,6,25,2.6,-0.65,69,Y,-0.06,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,496.842095,c 460-520,c 460-520,0.9713577,2.6 +9,6,4999,9,2,7,3,36,2.6,1.01,65,Y,0.17,F,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +6,5,5014,6,2,7,5,41,2.6,0.09,68,Y,-0.1,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,749.473663,g 700+,g 700-760,0.9713577,2.6 +9,8,5091,9,2,7,2,29.5,2.6,0.98,69,Y,0.86,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,567.8947235,d 520-580,d 520-580,0.9713577,2.6 +6,8,5149,7,2,7,1,40,2.6,0.32,67,Y,0.62,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +7,2,5187,7,2,7,3,31.5,2.6,0.47,67,Y,-0.97,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,599.4736695,e 580-640,e 580-640,0.9713577,2.6 +,,5214,3,2,7,3,36,2.6,-0.57,68,Y,,P,2,P,96,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +9,10,5286,9,2,7,3,37,2.6,1.1,64,Y,1.35,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +3,3,5307,3,2,7,1,48,2.6,-0.55,67,Y,-0.85,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,859.999974,g 700+,i 820+,0.9713577,2.6 +2,1,5318,2,2,2,1,42,2.6,-0.94,68,Y,-1.39,F,2,P,95,1,3,-66,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +6,5,5319,7,1,7,3,37.5,2.6,0.29,66,Y,-0.03,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.2105075,f 640-700,f 640-700,0.9713577,2.6 +,,5334,,1,7,5,36,2.6,,46,Y,,P,7,P,94,1,5,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,670.526298,f 640-700,f 640-700,0.9713577,2.6 +6,6,5418,6,2,5,3,37,2.6,0.11,64,Y,0.01,F,7,F,95,2,3,-57,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +,,5424,,2,7,,21.5,2.6,-0.07,60,Y,,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,441.5789395,b 400-460,b 400-460,0.9713577,2.6 +10,10,5444,10,2,7,4,38,2.6,2.24,60,Y,2.17,P,2,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,702.105244,g 700+,g 700-760,0.9713577,2.6 +2,1,5454,2,1,3,1,22,2.6,-0.99,68,Y,-1.42,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,449.473676,b 400-460,b 400-460,0.9713577,2.6 +4,4,5462,4,1,7,3,35,2.6,-0.28,66,Y,-0.37,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +6,3,5500,7,2,7,2,34,2.6,0.27,52,Y,-0.84,P,7,P,95,2,2,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.947352,e 580-640,e 580-640,0.9713577,2.6 +6,5,5502,7,2,7,2,29.5,2.6,0.22,67,Y,-0.14,P,7,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,567.8947235,d 520-580,d 520-580,0.9713577,2.6 +3,2,5565,4,1,6,6,32,2.6,-0.43,69,Y,-0.89,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,607.368406,e 580-640,e 580-640,0.9713577,2.6 +4,5,5601,5,1,2,3,33.5,2.6,-0.22,66,Y,-0.26,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +,,5723,1,2,3,5,35,2.6,-1.43,62,Y,,P,7,P,94,1,3,-55,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,654.736825,f 640-700,f 640-700,0.9713577,2.6 +3,4,5736,4,2,7,6,24,2.6,-0.42,61,Y,-0.51,F,7,F,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,481.052622,c 460-520,c 460-520,0.9713577,2.6 +9,10,5737,9,2,7,3,34,2.6,1.05,59,Y,1.35,P,7,P,94,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +9,5,5807,9,1,7,3,39,2.6,0.9,69,Y,-0.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +8,8,5878,8,2,8,3,39,2.6,0.66,68,Y,0.79,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +1,1,5930,1,1,7,3,28,2.6,-1.49,52,Y,-2.07,P,7,P,94,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,544.210514,d 520-580,d 520-580,0.9713577,2.6 +8,8,5994,8,1,6,4,31.5,2.6,0.63,68,Y,0.67,P,7,P,94,1,5,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,599.4736695,e 580-640,e 580-640,0.9713577,2.6 +4,5,6074,5,2,7,5,40,2.6,-0.19,60,Y,-0.18,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,733.68419,g 700+,g 700-760,0.9713577,2.6 +1,1,6181,1,2,7,3,26.5,2.6,-1.44,61,Y,-1.82,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,520.5263045,d 520-580,d 520-580,0.9713577,2.6 +4,4,6194,5,1,2,3,33,2.6,-0.21,67,Y,-0.52,P,7,P,94,1,1,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +5,10,6239,6,1,7,3,40,2.6,0.05,67,Y,1.67,P,2,P,95,2,3,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +7,8,6412,7,2,7,3,43,2.6,0.31,68,Y,0.81,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,781.052609,g 700+,h 760-820,0.9713577,2.6 +3,3,6433,3,2,7,3,35,2.6,-0.53,68,Y,-0.65,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +1,1,6452,1,1,7,3,38,2.6,-1.4,47,Y,-1.6,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +4,4,6482,4,2,7,3,38,2.6,-0.33,67,Y,-0.51,F,7,F,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +4,5,6503,5,2,7,6,27.7,2.6,-0.15,67,Y,-0.19,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,539.4736721,d 520-580,d 520-580,0.9713577,2.6 +1,8,6559,1,2,7,4,41,2.6,-1.5,54,Y,0.64,P,2,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,749.473663,g 700+,g 700-760,0.9713577,2.6 +7,7,6600,7,1,7,1,30,2.6,0.42,42,Y,0.4,P,7,P,94,1,5,-35,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,575.78946,d 520-580,d 520-580,0.9713577,2.6 +2,5,6612,3,2,1,4,34,2.6,-0.79,59,Y,0,P,7,P,94,2,3,-52,male,1,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,638.947352,e 580-640,e 580-640,0.9713577,2.6 +,,6652,,1,7,4,39,2.6,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.894717,g 700+,g 700-760,0.9713577,2.6 +4,3,6696,4,2,3,3,23,2.6,-0.33,57,Y,-0.63,F,7,F,95,2,2,-50,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,465.263149,c 460-520,c 460-520,0.9713577,2.6 +8,9,6716,8,2,7,3,45,2.6,0.66,68,Y,1.12,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.631555,g 700+,h 760-820,0.9713577,2.6 +1,3,6951,2,1,3,1,21.5,2.6,-1.23,63,Y,-0.83,F,7,F,94,2,3,-56,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,441.5789395,b 400-460,b 400-460,0.9713577,2.6 +10,10,6992,10,1,7,2,35,2.6,2.43,64,Y,2.75,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +10,10,7129,10,2,7,6,39.5,2.6,1.52,52,Y,1.82,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,725.7894535,g 700+,g 700-760,0.9713577,2.6 +5,6,7158,5,2,7,3,40,2.6,-0.06,68,Y,0.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +8,6,7166,9,1,7,3,37,2.6,0.84,66,Y,0.21,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +1,1,7209,1,1,3,4,21.5,2.6,-2.06,68,Y,-2.68,F,7,F,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,441.5789395,b 400-460,b 400-460,0.9713577,2.6 +5,4,7216,5,2,4,1,32,2.6,-0.04,65,Y,-0.43,F,7,P,95,1,3,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,607.368406,e 580-640,e 580-640,0.9713577,2.6 +2,3,7248,2,2,7,4,46,2.6,-0.93,67,Y,-0.6,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,828.421028,g 700+,i 820+,0.9713577,2.6 +1,4,7253,1,2,7,4,37,2.6,-1.29,66,Y,-0.44,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,686.315771,f 640-700,f 640-700,0.9713577,2.6 +3,1,7280,4,1,7,3,36,2.6,-0.52,68,Y,-1.35,F,2,F,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +7,4,7354,7,1,7,3,39,2.6,0.33,68,Y,-0.39,P,,P,,1,4,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +7,8,7412,7,2,7,2,35,2.6,0.28,67,Y,0.76,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,4,7422,4,2,7,3,38,2.6,-0.36,62,Y,-0.44,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +2,3,7427,2,1,7,3,35,2.6,-0.85,65,Y,-0.72,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +8,8,7443,8,2,7,1,37,2.6,0.8,67,Y,0.61,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +3,3,7611,3,2,7,3,41,2.6,-0.69,67,Y,-0.73,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +6,7,7622,6,2,7,3,29,2.6,0.19,60,Y,0.36,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,559.999987,d 520-580,d 520-580,0.9713577,2.6 +,,7633,,1,7,,33,2.6,1.34,54,Y,0.8,P,7,P,94,2,3,-47,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,623.157879,e 580-640,e 580-640,0.9713577,2.6 +7,7,7691,8,2,7,6,33,2.6,0.54,67,Y,0.46,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,623.157879,e 580-640,e 580-640,0.9713577,2.6 +2,4,7720,3,1,7,3,37,2.6,-0.75,69,Y,-0.45,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +1,2,7749,1,1,3,3,36,2.6,-1.83,69,Y,-1.24,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +5,6,7775,5,2,7,3,39,2.6,-0.04,69,Y,0.04,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +2,3,7792,2,1,7,3,33.7,2.6,-0.99,57,Y,-0.83,P,2,P,95,1,2,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,634.2105101,e 580-640,e 580-640,0.9713577,2.6 +9,10,7823,9,1,7,1,46,2.6,0.97,62,Y,1.62,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,828.421028,g 700+,i 820+,0.9713577,2.6 +4,4,7832,4,2,7,3,37,2.6,-0.32,67,Y,-0.42,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +6,6,7843,6,2,7,1,40,2.6,0.19,66,Y,0.26,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +1,1,7886,1,1,6,3,29.5,2.6,-2.02,65,Y,-1.64,F,7,P,95,1,3,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,567.8947235,d 520-580,d 520-580,0.9713577,2.6 +3,3,8072,3,2,7,2,29,2.6,-0.59,49,Y,-0.73,P,7,P,95,2,2,-42,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,559.999987,d 520-580,d 520-580,0.9713577,2.6 +2,5,8085,2,2,7,1,35,2.6,-0.91,69,Y,-0.25,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,654.736825,f 640-700,f 640-700,0.9713577,2.6 +2,4,8112,2,2,7,1,42,2.6,-0.94,68,Y,-0.5,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +1,1,8183,1,2,7,3,33.5,2.6,-1.45,66,Y,-1.67,F,7,F,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +1,3,8296,2,2,6,1,40,2.6,-1.26,61,Y,-0.7,P,7,P,94,1,2,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +4,1,8312,4,2,7,3,35,2.6,-0.39,52,Y,-1.45,P,7,P,95,2,4,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +10,9,8375,10,2,7,2,36,2.6,1.34,62,Y,1.04,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,670.526298,f 640-700,f 640-700,0.9713577,2.6 +3,5,8423,3,1,7,3,37,2.6,-0.57,53,Y,-0.17,P,2,P,96,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +2,1,8496,2,2,7,2,35,2.6,-1.02,67,Y,-1.29,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +8,8,8590,8,2,7,2,32,2.6,0.65,69,Y,0.63,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.368406,e 580-640,e 580-640,0.9713577,2.6 +1,1,8665,1,2,3,3,31,2.6,-1.72,66,Y,-2.25,F,7,P,96,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +2,3,8683,3,2,7,1,39,2.6,-0.81,63,Y,-0.65,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +4,4,8700,5,2,3,6,24,2.6,-0.14,68,Y,-0.3,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,481.052622,c 460-520,c 460-520,0.9713577,2.6 +2,1,8701,2,2,7,3,40,2.6,-1,67,Y,-1.52,F,2,F,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +2,2,8729,3,2,7,2,36,2.6,-0.76,66,Y,-1.15,P,2,P,95,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,670.526298,f 640-700,f 640-700,0.9713577,2.6 +5,5,8779,5,2,7,3,30,2.6,-0.04,49,Y,-0.28,P,7,P,94,2,3,-42,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,575.78946,d 520-580,d 520-580,0.9713577,2.6 +6,6,8780,6,2,7,2,37,2.6,0.15,67,Y,0,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,686.315771,f 640-700,f 640-700,0.9713577,2.6 +9,10,8877,9,2,7,2,35,2.6,1.07,63,Y,1.41,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +2,1,8942,2,2,3,1,35,2.6,-1.04,64,Y,-1.68,P,7,P,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,654.736825,f 640-700,f 640-700,0.9713577,2.6 +2,1,9060,3,1,7,2,36,2.6,-0.85,60,Y,-1.4,F,7,F,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,670.526298,f 640-700,f 640-700,0.9713577,2.6 +3,2,9096,4,1,4,3,35,2.6,-0.48,66,Y,-1.02,P,7,P,94,1,4,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,3,9173,5,2,7,6,33,2.6,-0.26,69,Y,-0.66,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,623.157879,e 580-640,e 580-640,0.9713577,2.6 +9,9,9215,9,2,6,4,44,2.6,1.24,70,Y,0.9,P,7,P,94,1,3,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,796.842082,g 700+,h 760-820,0.9713577,2.6 +9,9,9238,9,2,7,3,41,2.6,1.04,66,Y,1.01,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +9,9,9320,9,1,7,3,40,2.6,1.22,51,Y,1.26,P,2,P,96,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +3,1,9338,4,1,1,6,27,2.6,-0.46,59,Y,-1.32,F,2,F,96,2,2,-57,female,1,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,1,528.421041,d 520-580,d 520-580,0.9713577,2.6 +8,9,9406,8,2,7,2,30,2.6,0.69,66,Y,1.17,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,575.78946,d 520-580,d 520-580,0.9713577,2.6 +,,9413,,1,7,,27,2.6,1.06,68,Y,0.45,F,2,F,95,2,4,-66,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,,528.421041,d 520-580,d 520-580,0.9713577,2.6 +3,3,9475,3,2,7,3,34.3,2.6,-0.58,67,Y,-0.68,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,643.6841939,f 640-700,f 640-700,0.9713577,2.6 +3,1,9506,4,2,7,2,31,2.6,-0.52,67,Y,-1.29,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,591.578933,e 580-640,e 580-640,0.9713577,2.6 +2,1,9519,2,1,6,3,39,2.6,-1.02,64,Y,-1.33,F,7,P,95,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +9,7,9558,9,2,2,1,37,2.6,1.24,68,Y,0.37,P,,P,,1,5,,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +5,6,9730,6,2,7,1,40,2.6,0.06,64,Y,0.22,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +,,9749,,1,7,,25,2.6,-0.58,67,Y,-1.6,F,2,P,96,2,2,-65,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,,496.842095,c 460-520,c 460-520,0.9713577,2.6 +5,3,9785,6,2,7,3,34,2.6,0,69,Y,-0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +5,2,9818,6,2,7,2,33,2.6,0.01,67,Y,-1.12,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +8,9,9859,8,2,7,2,35,2.6,0.73,60,Y,0.98,F,7,P,95,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +6,4,9959,6,2,7,3,37,2.6,0.06,68,Y,-0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +1,1,10098,1,1,2,5,44,2.6,-2,64,Y,-1.46,P,7,P,94,1,4,-57,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,796.842082,g 700+,h 760-820,0.9713577,2.6 +3,2,10171,3,1,7,3,34.5,2.6,-0.58,63,Y,-1.09,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,646.8420885,f 640-700,f 640-700,0.9713577,2.6 +2,4,10203,2,2,7,4,36,2.6,-0.97,62,Y,-0.42,F,7,P,96,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,670.526298,f 640-700,f 640-700,0.9713577,2.6 +5,7,10266,5,2,7,3,36,2.6,-0.13,65,Y,0.31,P,7,P,94,1,,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +1,1,10295,1,1,8,3,37,2.6,-1.72,63,Y,-2.13,P,2,P,95,1,2,-61,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +8,8,10307,8,1,7,4,46,2.6,0.62,58,Y,0.62,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,828.421028,g 700+,i 820+,0.9713577,2.6 +5,2,10379,5,2,7,3,38,2.6,-0.1,65,Y,-1.18,F,2,P,96,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +5,4,10485,5,2,7,3,27,2.6,-0.13,69,Y,-0.33,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,528.421041,d 520-580,d 520-580,0.9713577,2.6 +6,7,10497,7,2,7,3,35,2.6,0.28,67,Y,0.45,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,4,10554,5,1,3,6,21,2.6,-0.14,56,Y,-0.43,F,7,F,94,1,3,-49,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,433.684203,b 400-460,b 400-460,0.9713577,2.6 +9,7,10555,9,1,7,3,39,2.6,0.87,48,Y,0.5,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +1,1,10582,1,1,3,3,28.5,2.6,-1.42,60,Y,-1.83,P,7,P,94,1,3,-53,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,552.1052505,d 520-580,d 520-580,0.9713577,2.6 +3,1,10704,3,2,4,4,28.5,2.6,-0.64,67,Y,-1.58,F,7,F,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,552.1052505,d 520-580,d 520-580,0.9713577,2.6 +8,6,10711,8,2,7,2,36,2.6,0.74,61,Y,0.11,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,670.526298,f 640-700,f 640-700,0.9713577,2.6 +2,4,10744,2,2,7,1,39,2.6,-1,61,Y,-0.34,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +3,2,10873,3,2,8,3,41,2.6,-0.58,68,Y,-0.98,P,2,P,94,1,3,-66,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +,,10916,1,1,7,3,40,2.6,-2.57,67,Y,,F,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +7,4,10921,7,2,7,1,37,2.6,0.36,69,Y,-0.44,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +9,8,11018,9,2,7,1,41,2.6,0.96,65,Y,0.61,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.473663,g 700+,g 700-760,0.9713577,2.6 +1,4,11030,2,1,7,2,34,2.6,-1.09,63,Y,-0.5,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.947352,e 580-640,e 580-640,0.9713577,2.6 +7,6,11076,7,1,7,4,36,2.6,0.38,69,Y,0.09,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,670.526298,f 640-700,f 640-700,0.9713577,2.6 +5,5,11143,6,2,7,3,42,2.6,0.03,61,Y,-0.15,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,765.263136,g 700+,h 760-820,0.9713577,2.6 +9,9,11161,9,2,7,3,43,2.6,0.91,65,Y,1.2,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,781.052609,g 700+,h 760-820,0.9713577,2.6 +10,8,11192,10,2,3,6,32,2.6,1.44,65,Y,0.55,P,7,P,94,1,4,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,607.368406,e 580-640,e 580-640,0.9713577,2.6 +2,1,11275,2,1,7,3,39,2.6,-0.97,66,Y,-1.5,F,2,F,95,1,2,-64,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +3,2,11277,3,2,7,3,32,2.6,-0.59,44,Y,-0.96,P,2,P,94,1,5,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.368406,e 580-640,e 580-640,0.9713577,2.6 +1,1,11304,2,2,4,4,36,2.6,-1.17,67,Y,-1.57,P,2,P,95,1,4,-65,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,670.526298,f 640-700,f 640-700,0.9713577,2.6 +6,5,11385,6,2,7,1,36,2.6,0.22,64,Y,-0.01,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,670.526298,f 640-700,f 640-700,0.9713577,2.6 +2,2,11408,2,2,7,3,33.5,2.6,-1.07,66,Y,-1.14,F,2,P,96,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +9,8,11424,9,2,7,3,45,2.6,0.94,54,Y,0.8,P,7,P,93,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.631555,g 700+,h 760-820,0.9713577,2.6 +3,4,11527,3,1,7,3,38.5,2.6,-0.69,66,Y,-0.39,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,709.9999805,g 700+,g 700-760,0.9713577,2.6 +,,11530,8,2,7,5,42,2.6,0.7,49,Y,,P,7,P,95,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,765.263136,g 700+,h 760-820,0.9713577,2.6 +4,4,11581,4,2,7,3,35,2.6,-0.25,67,Y,-0.51,P,7,P,95,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +10,7,11602,10,1,7,3,36,2.6,1.38,66,Y,0.5,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +8,7,11683,9,1,3,6,23,2.6,0.84,63,Y,0.48,P,7,P,94,1,,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,465.263149,c 460-520,c 460-520,0.9713577,2.6 +3,4,11780,3,2,3,1,25,2.6,-0.63,63,Y,-0.39,P,2,P,95,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,496.842095,c 460-520,c 460-520,0.9713577,2.6 +10,10,11813,10,2,7,4,45,2.6,2.06,66,Y,2.12,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.631555,g 700+,h 760-820,0.9713577,2.6 +3,3,11819,4,2,7,3,40,2.6,-0.44,63,Y,-0.62,P,2,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +2,1,11854,2,2,7,4,43,2.6,-1.06,66,Y,-1.44,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,781.052609,g 700+,h 760-820,0.9713577,2.6 +6,3,11892,6,2,7,4,36,2.6,0.24,63,Y,-0.53,P,7,P,95,2,4,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,670.526298,f 640-700,f 640-700,0.9713577,2.6 +1,1,11922,2,2,3,3,29,2.6,-1.22,69,Y,-1.69,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,559.999987,d 520-580,d 520-580,0.9713577,2.6 +3,2,11938,3,2,7,3,24,2.6,-0.6,65,Y,-1.26,P,2,P,95,1,,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,481.052622,c 460-520,c 460-520,0.9713577,2.6 +8,9,11958,8,2,7,1,40,2.6,0.73,53,Y,0.95,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +4,4,11959,4,1,3,1,26,2.6,-0.28,69,Y,-0.34,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,512.631568,c 460-520,c 460-520,0.9713577,2.6 +7,4,12032,7,2,7,2,32,2.6,0.28,66,Y,-0.39,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.368406,e 580-640,e 580-640,0.9713577,2.6 +2,2,12041,2,2,7,2,33,2.6,-0.98,62,Y,-0.98,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +10,10,12086,10,2,7,3,39,2.6,1.42,66,Y,1.59,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +2,2,12302,3,1,7,3,37,2.6,-0.8,69,Y,-1.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +1,1,12489,1,2,3,1,29,2.6,-1.34,69,Y,-1.9,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,559.999987,d 520-580,d 520-580,0.9713577,2.6 +7,5,12497,7,2,7,6,42,2.6,0.42,57,Y,-0.13,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,765.263136,g 700+,h 760-820,0.9713577,2.6 +1,1,12520,1,2,7,4,40,2.6,-1.68,50,Y,-1.69,P,7,P,94,1,2,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,733.68419,g 700+,g 700-760,0.9713577,2.6 +9,9,12530,9,2,7,3,32,2.6,0.89,66,Y,0.87,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.368406,e 580-640,e 580-640,0.9713577,2.6 +6,7,12562,6,2,1,5,43,2.6,0.19,66,Y,0.46,P,7,P,94,1,2,-59,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,6,781.052609,g 700+,h 760-820,0.9713577,2.6 +2,1,12632,3,2,3,6,32,2.6,-0.8,68,Y,-1.55,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,607.368406,e 580-640,e 580-640,0.9713577,2.6 +2,1,12646,2,2,3,3,29,2.6,-0.86,68,Y,-1.66,P,2,P,95,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,559.999987,d 520-580,d 520-580,0.9713577,2.6 +6,7,12658,6,2,7,1,41,2.6,0.1,61,Y,0.3,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.473663,g 700+,g 700-760,0.9713577,2.6 +10,10,12731,10,2,7,2,35.5,2.6,1.88,64,Y,1.8,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,662.6315615,f 640-700,f 640-700,0.9713577,2.6 +7,6,12917,7,1,7,4,34,2.6,0.4,53,Y,0.04,P,7,P,95,2,1,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,638.947352,e 580-640,e 580-640,0.9713577,2.6 +4,4,12954,4,1,3,3,41,2.6,-0.37,57,Y,-0.47,P,7,P,94,1,3,-50,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +4,2,12974,5,1,7,3,33,2.6,-0.2,48,Y,-0.98,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +6,7,12998,6,2,7,3,45,2.6,0.07,66,Y,0.4,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,812.631555,g 700+,h 760-820,0.9713577,2.6 +8,4,13012,8,2,7,3,30,2.6,0.7,68,Y,-0.49,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,575.78946,d 520-580,d 520-580,0.9713577,2.6 +8,3,13099,8,1,7,3,31,2.6,0.62,46,Y,-0.6,P,2,P,96,1,2,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +6,5,13111,7,2,7,2,28.5,2.6,0.22,67,Y,-0.25,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,552.1052505,d 520-580,d 520-580,0.9713577,2.6 +5,5,13176,6,2,7,3,41,2.6,-0.01,69,Y,-0.09,P,2,P,94,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +,,13183,,2,7,1,37,2.6,,59,Y,,F,7,P,95,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +5,3,13195,5,2,2,3,38,2.6,-0.1,68,Y,-0.65,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +8,6,13202,8,2,2,3,35,2.6,0.57,64,Y,0.25,P,7,P,94,1,4,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +3,4,13251,3,1,7,3,32,2.6,-0.66,65,Y,-0.4,P,7,P,94,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.368406,e 580-640,e 580-640,0.9713577,2.6 +3,2,13259,3,2,7,3,24,2.6,-0.53,64,Y,-1.08,P,2,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,481.052622,c 460-520,c 460-520,0.9713577,2.6 +6,6,13261,6,2,7,3,37,2.6,0.18,68,Y,0.1,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +1,1,13278,1,1,7,3,30.3,2.6,-1.39,68,Y,-1.48,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,580.5263019,e 580-640,e 580-640,0.9713577,2.6 +7,5,13304,7,2,7,1,41,2.6,0.35,61,Y,-0.1,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.473663,g 700+,g 700-760,0.9713577,2.6 +5,6,13330,5,2,7,3,41,2.6,-0.07,67,Y,0.03,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +10,9,13353,10,2,7,4,42,2.6,1.73,62,Y,1.02,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,765.263136,g 700+,h 760-820,0.9713577,2.6 +5,6,13362,5,2,7,3,40,2.6,-0.04,57,Y,0.06,P,7,P,94,1,2,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +2,1,13368,3,1,4,4,38,2.6,-0.8,69,Y,-1.34,P,7,P,94,1,2,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,702.105244,g 700+,g 700-760,0.9713577,2.6 +10,8,13422,10,2,7,1,43,2.6,1.37,63,Y,0.75,P,2,P,96,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,781.052609,g 700+,h 760-820,0.9713577,2.6 +10,9,13483,10,2,7,3,37.5,2.6,1.59,62,Y,0.97,P,7,P,94,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,694.2105075,f 640-700,f 640-700,0.9713577,2.6 +5,1,13556,5,2,7,3,40,2.6,-0.08,68,Y,-1.48,F,7,F,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +8,8,13606,8,2,7,3,43,2.6,0.58,68,Y,0.82,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,781.052609,g 700+,h 760-820,0.9713577,2.6 +6,5,13616,6,2,7,2,33,2.6,0.1,67,Y,-0.1,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +6,6,13624,6,2,7,3,26,2.6,0.2,67,Y,0.04,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,512.631568,c 460-520,c 460-520,0.9713577,2.6 +10,10,13755,10,2,7,3,42,2.6,1.57,65,Y,1.34,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,765.263136,g 700+,h 760-820,0.9713577,2.6 +3,3,13802,3,2,7,4,33,2.6,-0.73,68,Y,-0.54,P,7,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,623.157879,e 580-640,e 580-640,0.9713577,2.6 +2,1,13813,2,1,3,1,35,2.6,-0.94,70,Y,-1.37,P,2,P,94,1,3,-68,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,654.736825,f 640-700,f 640-700,0.9713577,2.6 +3,6,13918,3,2,7,3,34,2.6,-0.52,65,Y,0.08,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +6,5,13941,6,2,7,3,33,2.6,0.1,64,Y,-0.05,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +2,3,14104,2,2,7,3,38,2.6,-1.03,68,Y,-0.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +3,2,14189,4,2,8,3,37,2.6,-0.52,68,Y,-1.3,P,7,P,94,1,5,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +4,4,14194,4,2,7,1,42,2.6,-0.23,67,Y,-0.41,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +6,6,14225,7,1,7,3,34.5,2.6,0.3,51,Y,0.11,P,2,P,95,2,3,-49,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,646.8420885,f 640-700,f 640-700,0.9713577,2.6 +7,6,14313,7,1,7,2,39,2.6,0.46,68,Y,0.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,717.894717,g 700+,g 700-760,0.9713577,2.6 +5,2,14317,5,2,7,3,33,2.6,-0.17,66,Y,-1.03,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +6,7,14332,6,1,7,3,40,2.6,0.16,69,Y,0.49,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +5,5,14388,6,1,7,3,38,2.6,0.05,63,Y,-0.02,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +2,3,14429,3,1,7,3,36,2.6,-0.72,68,Y,-0.82,F,2,F,96,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +6,7,14518,7,2,7,3,34,2.6,0.25,67,Y,0.38,P,7,P,94,1,1,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +5,7,14534,6,2,7,2,30,2.6,0.01,49,Y,0.35,P,2,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,575.78946,d 520-580,d 520-580,0.9713577,2.6 +6,6,14549,6,2,7,3,32,2.6,0.11,66,Y,0.04,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.368406,e 580-640,e 580-640,0.9713577,2.6 +5,4,14566,6,1,7,3,37,2.6,0.05,63,Y,-0.49,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +2,1,14590,2,1,3,1,31,2.6,-1.11,69,Y,-1.69,P,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,591.578933,e 580-640,e 580-640,0.9713577,2.6 +1,1,14664,1,2,3,3,19.5,2.6,-1.96,67,Y,-2.36,F,7,P,95,1,2,-60,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,409.9999935,b 400-460,b 400-460,0.9713577,2.6 +3,4,14669,4,2,7,3,38,2.6,-0.48,69,Y,-0.42,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +2,1,14712,2,1,3,1,29,2.6,-1.01,69,Y,-1.62,F,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,559.999987,d 520-580,d 520-580,0.9713577,2.6 +8,7,14743,9,2,7,1,43,2.6,0.89,60,Y,0.4,P,7,P,94,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,781.052609,g 700+,h 760-820,0.9713577,2.6 +5,5,14746,5,2,7,1,41,2.6,-0.14,68,Y,-0.1,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.473663,g 700+,g 700-760,0.9713577,2.6 +2,2,14769,3,2,7,3,34,2.6,-0.7,68,Y,-0.9,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +4,5,14786,5,2,7,3,34,2.6,-0.24,68,Y,-0.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +8,7,14806,8,2,7,3,41,2.6,0.63,68,Y,0.29,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +6,4,14862,6,2,7,1,44,2.6,0.19,63,Y,-0.46,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.842082,g 700+,h 760-820,0.9713577,2.6 +3,6,14879,3,2,7,1,41,2.6,-0.6,61,Y,0.21,P,2,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.473663,g 700+,g 700-760,0.9713577,2.6 +7,8,14896,7,2,7,3,42,2.6,0.49,65,Y,0.68,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,765.263136,g 700+,h 760-820,0.9713577,2.6 +3,1,15021,3,2,7,1,39,2.6,-0.6,67,Y,-1.42,F,7,P,95,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +3,5,15149,4,2,7,3,36,2.6,-0.49,62,Y,-0.23,P,2,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +2,3,15150,2,2,7,3,30,2.6,-0.9,63,Y,-0.87,F,7,F,95,2,4,-56,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,575.78946,d 520-580,d 520-580,0.9713577,2.6 +2,3,15168,2,2,7,4,42,2.6,-0.98,65,Y,-0.69,F,7,F,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,765.263136,g 700+,h 760-820,0.9713577,2.6 +8,7,15178,8,2,7,3,39,2.6,0.69,65,Y,0.28,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +7,7,15183,7,2,7,3,40,2.6,0.39,68,Y,0.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +7,9,15193,7,2,7,3,41,2.6,0.48,66,Y,0.88,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +6,6,15251,7,2,2,4,39,2.6,0.27,68,Y,0.07,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,717.894717,g 700+,g 700-760,0.9713577,2.6 +6,5,15277,6,2,7,2,31,2.6,0.07,67,Y,-0.19,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,591.578933,e 580-640,e 580-640,0.9713577,2.6 +8,8,15323,8,2,7,3,35.5,2.6,0.76,66,Y,0.58,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,662.6315615,f 640-700,f 640-700,0.9713577,2.6 +1,1,15351,1,2,3,1,29,2.6,-2.18,68,Y,-1.8,P,7,P,94,1,2,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,559.999987,d 520-580,d 520-580,0.9713577,2.6 +5,4,15362,5,1,7,3,36,2.6,-0.17,63,Y,-0.54,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +6,6,15377,6,1,3,6,26,2.6,0.23,67,Y,0.15,P,7,P,94,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,512.631568,c 460-520,c 460-520,0.9713577,2.6 +9,10,15414,9,2,7,2,37,2.6,1.16,66,Y,1.4,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,686.315771,f 640-700,f 640-700,0.9713577,2.6 +6,6,15461,6,2,7,3,36,2.6,0.15,68,Y,0.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +3,3,15567,4,2,4,2,31,2.6,-0.44,63,Y,-0.66,P,2,P,95,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,591.578933,e 580-640,e 580-640,0.9713577,2.6 +4,4,15629,4,1,7,1,30.5,2.6,-0.28,68,Y,-0.43,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,583.6841965,e 580-640,e 580-640,0.9713577,2.6 +2,2,15640,3,2,7,3,38,2.6,-0.78,62,Y,-1.15,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +8,9,15687,8,2,7,4,45,2.6,0.8,60,Y,1.01,P,7,P,95,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,812.631555,g 700+,h 760-820,0.9713577,2.6 +3,2,15703,4,2,7,3,39,2.6,-0.44,68,Y,-1.04,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +,,15709,,2,,3,42,2.6,-1.39,66,Y,-1.13,F,2,F,95,1,4,-64,male,0,1,,,NO,0,0,0,0,0,c Failed,FALSE,3,765.263136,g 700+,h 760-820,0.9713577,2.6 +2,3,15805,2,2,2,3,39,2.6,-0.92,68,Y,-0.77,P,7,P,94,1,5,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +4,2,15860,4,2,6,3,38,2.6,-0.33,61,Y,-1.19,P,2,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +5,5,15878,6,2,5,3,26,2.6,-0.01,68,Y,-0.28,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,512.631568,c 460-520,c 460-520,0.9713577,2.6 +4,5,15897,4,2,7,3,35.5,2.6,-0.35,65,Y,-0.13,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,662.6315615,f 640-700,f 640-700,0.9713577,2.6 +2,1,15972,2,1,2,1,32,2.6,-1.03,68,Y,-1.35,F,7,P,95,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,607.368406,e 580-640,e 580-640,0.9713577,2.6 +7,8,15980,7,1,2,1,31.5,2.6,0.5,68,Y,0.65,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,599.4736695,e 580-640,e 580-640,0.9713577,2.6 +6,3,16014,6,2,7,3,35,2.6,0.17,67,Y,-0.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +8,5,16034,9,1,6,6,26,2.6,0.89,65,Y,-0.14,P,7,P,94,1,4,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,512.631568,c 460-520,c 460-520,0.9713577,2.6 +9,9,16041,9,2,7,4,43,2.6,1.11,66,Y,1.03,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,781.052609,g 700+,h 760-820,0.9713577,2.6 +6,7,16068,6,2,7,2,29,2.6,0.05,68,Y,0.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,559.999987,d 520-580,d 520-580,0.9713577,2.6 +10,10,16132,10,1,7,3,44,2.6,1.96,65,Y,2.31,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,796.842082,g 700+,h 760-820,0.9713577,2.6 +10,10,16177,10,1,7,3,40,2.6,1.46,68,Y,1.65,P,2,P,94,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +5,3,16183,5,2,7,2,40,2.6,-0.17,56,Y,-0.64,P,7,P,94,1,4,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,733.68419,g 700+,g 700-760,0.9713577,2.6 +10,10,16230,10,2,7,3,37,2.6,1.4,66,Y,1.65,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +6,7,16354,6,2,7,1,38,2.6,0.14,56,Y,0.46,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.105244,g 700+,g 700-760,0.9713577,2.6 +10,10,16390,10,2,7,3,31,2.6,1.73,67,Y,1.85,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +9,10,16422,9,1,7,4,42,2.6,1.21,63,Y,1.39,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,765.263136,g 700+,h 760-820,0.9713577,2.6 +1,2,16514,1,1,7,3,35,2.6,-1.55,64,Y,-1.06,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +10,10,16528,10,2,7,1,44,2.6,1.46,68,Y,1.65,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.842082,g 700+,h 760-820,0.9713577,2.6 +9,8,16596,9,2,7,1,40,2.6,1.02,65,Y,0.75,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +10,10,16635,10,1,3,6,26,2.6,1.33,59,Y,1.59,P,7,P,94,1,1,-52,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,512.631568,c 460-520,c 460-520,0.9713577,2.6 +,,16667,,1,7,,32,2.6,0.16,45,Y,-0.52,P,2,P,95,2,4,-43,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,607.368406,e 580-640,e 580-640,0.9713577,2.6 +1,2,16699,2,2,7,3,37,2.6,-1.21,67,Y,-1.27,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +2,2,16739,2,1,3,1,28,2.6,-0.99,61,Y,-1.13,P,7,P,94,1,2,-54,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,544.210514,d 520-580,d 520-580,0.9713577,2.6 +2,4,16790,3,1,7,3,40,2.6,-0.78,60,Y,-0.55,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +9,10,16855,9,1,7,1,39,2.6,1.16,57,Y,1.47,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +4,4,16882,5,2,7,2,28.5,2.6,-0.24,67,Y,-0.41,P,2,P,95,2,,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,552.1052505,d 520-580,d 520-580,0.9713577,2.6 +,,16923,,1,2,5,35,2.6,,69,Y,,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,654.736825,f 640-700,f 640-700,0.9713577,2.6 +1,1,17063,2,1,7,3,32,2.6,-1.22,40,Y,-1.71,F,7,P,95,1,4,-33,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,607.368406,e 580-640,e 580-640,0.9713577,2.6 +3,2,17082,3,2,7,1,36,2.6,-0.72,64,Y,-1.24,P,2,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,670.526298,f 640-700,f 640-700,0.9713577,2.6 +4,4,17179,4,2,7,3,37,2.6,-0.4,62,Y,-0.45,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +7,6,17242,7,2,7,1,42,2.6,0.44,67,Y,0.08,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +1,2,17287,1,2,5,4,29,2.6,-2.05,65,Y,-1.12,F,2,F,96,2,3,-63,male,1,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,559.999987,d 520-580,d 520-580,0.9713577,2.6 +9,10,17298,9,2,7,2,33,2.6,1.01,45,Y,1.47,P,7,P,94,1,3,-38,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +,,17379,,2,7,1,41,2.6,,67,Y,,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,749.473663,g 700+,g 700-760,0.9713577,2.6 +4,3,17382,4,1,7,1,39,2.6,-0.34,56,Y,-0.59,P,7,P,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +1,1,17391,1,1,3,1,24,2.6,-2.07,69,Y,-2.06,F,7,P,96,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,481.052622,c 460-520,c 460-520,0.9713577,2.6 +10,10,17407,10,2,7,2,33.5,2.6,1.6,66,Y,2.06,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +2,2,17413,3,1,3,3,33,2.6,-0.79,68,Y,-1.14,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +8,7,17432,8,2,7,2,28,2.6,0.66,66,Y,0.25,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,544.210514,d 520-580,d 520-580,0.9713577,2.6 +9,9,17440,9,2,7,3,41,2.6,1.22,63,Y,1.16,P,7,P,94,1,1,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +4,2,17444,5,2,2,3,31,2.6,-0.21,68,Y,-1.1,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +4,2,17454,4,1,3,4,30,2.6,-0.33,65,Y,-1.09,P,7,P,94,1,1,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,575.78946,d 520-580,d 520-580,0.9713577,2.6 +,,17467,1,2,2,3,34,2.6,-1.8,65,X,,F,7,F,95,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +1,2,17470,1,2,7,1,34,2.6,-1.3,52,Y,-1.28,F,7,F,94,2,2,-45,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,638.947352,e 580-640,e 580-640,0.9713577,2.6 +9,8,17493,9,2,7,6,45,2.6,1.04,48,Y,0.89,P,7,P,94,1,4,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,812.631555,g 700+,h 760-820,0.9713577,2.6 +4,2,17557,4,1,3,3,33,2.6,-0.28,68,Y,-1,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +,,17673,,2,7,6,30,2.6,,59,Y,-1.05,F,2,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,575.78946,d 520-580,d 520-580,0.9713577,2.6 +3,3,17700,3,1,7,3,39,2.6,-0.55,64,Y,-0.71,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +3,3,17731,3,1,7,1,42,2.6,-0.73,68,Y,-0.85,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +7,7,17820,7,1,7,2,30,2.6,0.39,66,Y,0.44,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,575.78946,d 520-580,d 520-580,0.9713577,2.6 +3,1,17865,3,2,7,3,37,2.6,-0.68,68,Y,-1.58,F,6,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +5,2,17890,5,2,3,4,31,2.6,-0.16,68,Y,-0.92,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,591.578933,e 580-640,e 580-640,0.9713577,2.6 +7,10,17996,7,2,7,3,32.5,2.6,0.49,63,Y,1.5,P,7,P,95,2,4,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,615.2631425,e 580-640,e 580-640,0.9713577,2.6 +,,18013,,2,3,6,26,2.6,,62,Y,,F,7,F,95,1,3,-55,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,512.631568,c 460-520,c 460-520,0.9713577,2.6 +4,1,18034,4,2,7,1,30,2.6,-0.3,67,Y,-1.52,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,575.78946,d 520-580,d 520-580,0.9713577,2.6 +2,3,18046,2,2,3,1,30,2.6,-1,67,Y,-0.64,P,2,P,94,1,3,-65,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,575.78946,d 520-580,d 520-580,0.9713577,2.6 +4,7,18052,4,1,2,3,36,2.6,-0.26,66,Y,0.47,P,7,P,94,1,4,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +1,1,18056,2,2,7,3,32,2.6,-1.15,67,Y,-1.55,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.368406,e 580-640,e 580-640,0.9713577,2.6 +1,1,18083,1,1,3,3,22.5,2.6,-1.67,62,Y,-1.42,P,7,P,94,1,3,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,457.3684125,b 400-460,b 400-460,0.9713577,2.6 +10,9,18121,10,2,7,3,35,2.6,1.31,67,Y,1.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +3,2,18153,3,2,7,3,33,2.6,-0.66,46,Y,-1.31,P,2,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +4,1,18307,5,2,7,3,39,2.6,-0.24,68,Y,-1.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +7,6,18362,7,1,1,3,36,2.6,0.4,61,Y,0.05,P,7,P,94,1,2,-54,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +4,5,18410,5,1,1,2,29,2.6,-0.25,51,Y,-0.27,P,7,P,94,1,4,-44,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,559.999987,d 520-580,d 520-580,0.9713577,2.6 +4,3,18435,5,1,7,1,45,2.6,-0.17,67,Y,-0.56,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.631555,g 700+,h 760-820,0.9713577,2.6 +2,3,18440,2,2,7,3,40,2.6,-0.93,47,Y,-0.68,P,7,P,94,1,4,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +5,4,18475,5,2,7,2,34,2.6,-0.17,69,Y,-0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.947352,e 580-640,e 580-640,0.9713577,2.6 +6,5,18481,6,2,7,3,43,2.6,0.2,63,Y,-0.27,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,781.052609,g 700+,h 760-820,0.9713577,2.6 +7,6,18484,7,2,7,2,35,2.6,0.41,61,Y,0.18,P,2,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +9,9,18549,9,2,7,2,34,2.6,0.9,61,Y,1.2,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.947352,e 580-640,e 580-640,0.9713577,2.6 +9,8,18584,9,2,8,4,43,2.6,1.23,67,Y,0.74,P,7,P,94,1,4,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,781.052609,g 700+,h 760-820,0.9713577,2.6 +8,10,18616,8,2,7,4,39,2.6,0.83,68,Y,1.31,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.894717,g 700+,g 700-760,0.9713577,2.6 +2,2,18643,2,1,3,3,27,2.6,-0.99,66,Y,-1.3,F,7,F,95,2,4,-59,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,528.421041,d 520-580,d 520-580,0.9713577,2.6 +8,7,18647,8,1,7,3,34,2.6,0.71,69,Y,0.36,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +4,5,18666,5,1,7,3,38,2.6,-0.24,64,Y,-0.11,P,7,P,94,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +9,9,18796,9,2,7,1,45,2.6,1.19,64,Y,1.26,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.631555,g 700+,h 760-820,0.9713577,2.6 +,,18851,,2,7,3,43.5,2.6,,67,Y,0.09,F,7,F,95,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,788.9473455,g 700+,h 760-820,0.9713577,2.6 +5,4,18860,5,2,7,1,33,2.6,0.03,67,Y,-0.4,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,623.157879,e 580-640,e 580-640,0.9713577,2.6 +9,9,18880,9,2,7,3,43,2.6,1.14,63,Y,1.29,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,781.052609,g 700+,h 760-820,0.9713577,2.6 +8,8,18886,8,1,7,3,41,2.6,0.72,69,Y,0.84,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +2,2,18960,2,1,7,4,37,2.6,-0.94,57,Y,-0.96,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,686.315771,f 640-700,f 640-700,0.9713577,2.6 +6,5,19003,6,2,7,2,29,2.6,0.06,64,Y,-0.11,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,559.999987,d 520-580,d 520-580,0.9713577,2.6 +1,1,19047,1,2,6,3,22,2.6,-1.41,67,Y,-1.66,F,7,F,94,1,1,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,449.473676,b 400-460,b 400-460,0.9713577,2.6 +10,8,19084,10,1,7,3,36.5,2.6,1.47,67,Y,0.8,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,678.4210345,f 640-700,f 640-700,0.9713577,2.6 +2,2,19089,2,2,7,1,38,2.6,-0.98,60,Y,-1.1,P,2,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.105244,g 700+,g 700-760,0.9713577,2.6 +9,10,19173,9,2,7,3,38,2.6,1.25,67,Y,1.59,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +10,10,19214,10,1,7,3,40,2.6,1.82,60,Y,1.61,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +7,10,19226,7,2,7,2,32,2.6,0.5,68,Y,1.48,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.368406,e 580-640,e 580-640,0.9713577,2.6 +2,1,19354,2,1,3,5,31.5,2.6,-1.19,68,Y,-1.45,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,599.4736695,e 580-640,e 580-640,0.9713577,2.6 +10,10,19401,10,1,3,6,31,2.6,1.95,50,Y,1.57,P,7,P,94,1,4,-43,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,591.578933,e 580-640,e 580-640,0.9713577,2.6 +,,19407,2,1,7,3,41,2.6,-1.11,66,Y,,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +2,2,19409,2,2,7,2,30.5,2.6,-1.03,68,Y,-1.23,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,583.6841965,e 580-640,e 580-640,0.9713577,2.6 +2,1,19483,2,2,3,1,30,2.6,-0.97,67,Y,-1.45,F,7,F,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,575.78946,d 520-580,d 520-580,0.9713577,2.6 +9,10,19496,9,2,7,1,40,2.6,1.12,65,Y,1.73,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +3,2,19530,3,2,7,2,33,2.6,-0.66,69,Y,-1.2,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +,,19557,,1,7,,29,2.6,0.2,66,Y,-0.02,F,2,P,95,2,4,-64,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,,559.999987,d 520-580,d 520-580,0.9713577,2.6 +10,9,19581,10,1,7,2,35,2.6,1.47,69,Y,1.2,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +3,1,19618,3,2,7,2,32,2.6,-0.7,58,Y,-1.26,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.368406,e 580-640,e 580-640,0.9713577,2.6 +1,2,19685,1,2,3,1,31,2.6,-1.48,68,Y,-1.32,P,2,P,95,1,5,-66,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,591.578933,e 580-640,e 580-640,0.9713577,2.6 +9,10,19700,9,2,7,3,34,2.6,0.98,66,Y,1.62,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +3,2,19787,3,2,7,3,38,2.6,-0.62,67,Y,-1.13,P,2,P,95,1,,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +7,3,19796,8,2,4,6,25,2.6,0.61,66,Y,-0.73,F,2,P,94,1,2,-64,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,496.842095,c 460-520,c 460-520,0.9713577,2.6 +10,10,19862,10,1,7,4,39,2.6,1.59,67,Y,1.38,P,7,P,95,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.894717,g 700+,g 700-760,0.9713577,2.6 +8,7,19891,8,2,7,1,40,2.6,0.68,67,Y,0.35,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +5,4,19905,5,2,2,3,31,2.6,-0.03,68,Y,-0.55,P,2,P,95,1,,-66,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +4,2,19942,4,2,7,3,33,2.6,-0.36,63,Y,-1.22,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,623.157879,e 580-640,e 580-640,0.9713577,2.6 +,,19952,,2,7,6,27,2.6,,62,Y,,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,528.421041,d 520-580,d 520-580,0.9713577,2.6 +2,6,19961,3,2,7,2,26,2.6,-0.73,62,Y,0.19,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,512.631568,c 460-520,c 460-520,0.9713577,2.6 +8,7,19993,8,2,7,3,37,2.6,0.75,64,Y,0.5,P,2,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +8,6,20019,8,2,7,2,35,2.6,0.63,67,Y,-0.02,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +9,9,20084,9,2,7,3,26.5,2.6,0.98,65,Y,1.3,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,520.5263045,d 520-580,d 520-580,0.9713577,2.6 +3,2,20092,3,2,8,3,37,2.6,-0.66,69,Y,-0.89,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +4,5,20213,5,2,1,4,36,2.6,-0.23,69,Y,-0.17,P,7,P,94,1,3,-62,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,5,670.526298,f 640-700,f 640-700,0.9713577,2.6 +5,1,20252,6,1,3,6,21,2.6,0.02,65,Y,-1.77,F,7,F,94,1,1,-58,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,433.684203,b 400-460,b 400-460,0.9713577,2.6 +,,20292,,2,4,1,40,2.6,,56,Y,-2.19,P,2,P,95,1,2,-54,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +9,6,20304,9,2,7,1,33,2.6,1.19,67,Y,0.15,P,7,P,94,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,623.157879,e 580-640,e 580-640,0.9713577,2.6 +2,2,20364,2,1,7,1,24,2.6,-0.89,65,Y,-0.89,F,7,F,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,481.052622,c 460-520,c 460-520,0.9713577,2.6 +2,2,20466,2,2,7,3,45,2.6,-1.05,66,Y,-1.28,F,7,F,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,812.631555,g 700+,h 760-820,0.9713577,2.6 +8,7,20485,8,2,7,3,37,2.6,0.65,66,Y,0.54,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +3,2,20537,3,2,7,2,33,2.6,-0.56,69,Y,-1.16,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +5,3,20560,5,2,7,4,41,2.6,-0.12,69,Y,-0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,749.473663,g 700+,g 700-760,0.9713577,2.6 +1,1,20573,2,1,7,2,25,2.6,-1.11,67,Y,-1.55,F,2,F,95,1,5,-65,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,496.842095,c 460-520,c 460-520,0.9713577,2.6 +5,4,20686,5,2,7,3,36,2.6,-0.13,68,Y,-0.37,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +2,4,20803,3,2,3,6,25,2.6,-0.73,68,Y,-0.34,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,496.842095,c 460-520,c 460-520,0.9713577,2.6 +1,2,20806,1,2,7,3,38,2.6,-1.47,65,Y,-1.19,F,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +4,3,20903,4,2,7,1,37,2.6,-0.25,69,Y,-0.75,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +6,4,20929,6,2,7,3,46,2.6,0.1,65,Y,-0.31,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,828.421028,g 700+,i 820+,0.9713577,2.6 +2,1,20962,2,2,6,1,34.5,2.6,-0.97,67,Y,-1.37,P,7,P,94,1,4,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,646.8420885,f 640-700,f 640-700,0.9713577,2.6 +1,1,21006,1,2,2,1,30.5,2.6,-1.28,68,Y,-1.52,F,7,P,95,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,583.6841965,e 580-640,e 580-640,0.9713577,2.6 +6,4,21103,6,1,7,3,31,2.6,0.12,67,Y,-0.36,P,2,P,95,2,5,-65,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +1,1,21123,2,1,3,3,27,2.6,-1.28,69,Y,-1.36,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,528.421041,d 520-580,d 520-580,0.9713577,2.6 +3,4,21163,3,2,7,3,32,2.6,-0.63,52,Y,-0.45,P,7,P,95,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,607.368406,e 580-640,e 580-640,0.9713577,2.6 +5,3,21211,5,2,4,4,41,2.6,-0.07,65,Y,-0.61,P,7,P,95,2,3,-58,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,749.473663,g 700+,g 700-760,0.9713577,2.6 +2,1,21239,2,2,2,3,33.5,2.6,-1.03,67,Y,-1.53,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +4,3,21243,4,2,7,3,40,2.6,-0.3,65,Y,-0.66,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +1,1,21282,1,1,7,3,27,2.6,-2.11,69,Y,-1.58,P,2,P,95,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,528.421041,d 520-580,d 520-580,0.9713577,2.6 +8,5,21360,8,2,7,2,26.5,2.6,0.65,67,Y,-0.1,P,7,P,94,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,520.5263045,d 520-580,d 520-580,0.9713577,2.6 +3,2,21406,4,1,7,2,37,2.6,-0.46,52,Y,-1.2,F,7,P,96,1,2,-45,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,686.315771,f 640-700,f 640-700,0.9713577,2.6 +1,1,21558,1,1,3,4,34,2.6,-1.78,67,Y,-2.35,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,638.947352,e 580-640,e 580-640,0.9713577,2.6 +9,10,21581,9,1,7,4,46,2.6,1.22,62,Y,1.61,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,828.421028,g 700+,i 820+,0.9713577,2.6 +4,5,21632,4,1,3,1,30,2.6,-0.32,69,Y,-0.25,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,575.78946,d 520-580,d 520-580,0.9713577,2.6 +3,5,21692,3,2,7,4,37,2.6,-0.59,68,Y,-0.17,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,686.315771,f 640-700,f 640-700,0.9713577,2.6 +7,6,21754,7,2,7,1,36,2.6,0.36,68,Y,0.25,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,670.526298,f 640-700,f 640-700,0.9713577,2.6 +2,2,21773,2,1,7,1,33,2.6,-0.86,67,Y,-1.11,P,2,P,94,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,623.157879,e 580-640,e 580-640,0.9713577,2.6 +5,5,21787,5,2,7,3,38,2.6,-0.07,69,Y,-0.13,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +10,10,21868,10,2,7,3,37,2.6,1.69,66,Y,1.32,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +4,5,22005,4,2,2,3,34,2.6,-0.3,64,Y,-0.24,P,7,P,94,1,,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +2,1,22045,2,1,7,3,29.5,2.6,-0.91,66,Y,-1.62,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,567.8947235,d 520-580,d 520-580,0.9713577,2.6 +7,6,22050,7,2,8,3,32.5,2.6,0.41,67,Y,0.23,P,7,P,94,1,3,-60,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,615.2631425,e 580-640,e 580-640,0.9713577,2.6 +3,4,22107,3,1,7,1,37,2.6,-0.72,49,Y,-0.37,P,7,P,94,1,2,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +6,8,22123,7,1,3,6,20,2.6,0.35,50,Y,0.85,F,7,F,94,1,3,-43,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,417.89473,b 400-460,b 400-460,0.9713577,2.6 +1,1,22128,1,1,8,3,31,2.6,-1.49,65,Y,-1.64,F,7,P,95,1,3,-58,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +7,6,22218,7,2,7,3,35,2.6,0.37,67,Y,0.14,P,6,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,5,22222,4,2,6,1,38,2.6,-0.41,69,Y,-0.01,P,7,P,94,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.105244,g 700+,g 700-760,0.9713577,2.6 +4,8,22234,4,2,6,4,41,2.6,-0.27,60,Y,0.64,P,7,P,94,1,3,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,749.473663,g 700+,g 700-760,0.9713577,2.6 +7,5,22260,7,2,7,1,37,2.6,0.57,52,Y,-0.16,P,7,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +8,8,22287,8,2,7,1,44,2.6,0.66,59,Y,0.76,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.842082,g 700+,h 760-820,0.9713577,2.6 +1,1,22296,1,2,3,1,25,2.6,-2.59,68,Y,-1.89,F,7,P,95,1,,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,496.842095,c 460-520,c 460-520,0.9713577,2.6 +3,1,22330,3,1,7,3,36,2.6,-0.56,69,Y,-1.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +1,1,22376,1,2,5,1,32,2.6,-2.04,70,Y,-2.64,F,2,F,95,1,5,-68,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,607.368406,e 580-640,e 580-640,0.9713577,2.6 +7,8,22418,8,2,2,6,27,2.6,0.56,65,Y,0.64,P,7,P,94,1,3,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,1,528.421041,d 520-580,d 520-580,0.9713577,2.6 +2,1,22446,2,1,7,3,34.5,2.6,-1.03,68,Y,-1.37,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,646.8420885,f 640-700,f 640-700,0.9713577,2.6 +,,22473,7,2,7,3,41,2.6,0.33,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +10,9,22512,10,2,7,3,36,2.6,1.69,64,Y,1.28,P,2,P,95,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +1,2,22550,1,2,3,4,31,2.6,-1.26,57,Y,-1.13,F,7,F,95,2,3,-50,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,591.578933,e 580-640,e 580-640,0.9713577,2.6 +6,6,22581,7,1,7,3,41,2.6,0.26,65,Y,0.21,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +5,2,22622,5,2,7,2,44,2.6,-0.05,63,Y,-1.01,F,7,P,96,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,796.842082,g 700+,h 760-820,0.9713577,2.6 +1,1,22665,1,1,5,3,34,2.6,-1.44,58,Y,-1.92,P,7,P,94,1,2,-51,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +9,9,22736,9,1,7,3,38,2.6,1.01,56,Y,1.25,P,7,P,94,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +3,3,22757,3,1,3,1,32,2.6,-0.65,64,Y,-0.73,P,7,P,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,607.368406,e 580-640,e 580-640,0.9713577,2.6 +5,3,22795,6,2,7,3,32,2.6,0.05,60,Y,-0.79,F,7,P,95,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,607.368406,e 580-640,e 580-640,0.9713577,2.6 +2,3,22828,3,2,7,3,35,2.6,-0.76,65,Y,-0.58,P,2,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +2,2,22833,2,2,1,1,31,2.6,-1.05,63,Y,-1.25,P,7,P,94,1,3,-56,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,591.578933,e 580-640,e 580-640,0.9713577,2.6 +3,2,22980,4,2,7,2,35,2.6,-0.52,68,Y,-1.17,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +2,3,23031,2,2,7,1,40,2.6,-0.9,67,Y,-0.74,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,733.68419,g 700+,g 700-760,0.9713577,2.6 +2,1,23052,2,1,3,5,32,2.6,-1.06,68,Y,-1.34,F,7,P,95,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,6,607.368406,e 580-640,e 580-640,0.9713577,2.6 +4,3,23056,4,2,7,3,34,2.6,-0.4,66,Y,-0.71,P,2,P,95,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +10,10,23077,10,2,7,2,35,2.6,1.85,62,Y,1.82,F,7,P,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,654.736825,f 640-700,f 640-700,0.9713577,2.6 +4,4,23166,4,2,7,3,40,2.6,-0.39,68,Y,-0.49,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +9,6,23191,9,2,7,4,38,2.6,0.93,58,Y,0.04,P,7,P,95,2,4,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,702.105244,g 700+,g 700-760,0.9713577,2.6 +1,1,23199,2,1,3,3,26,2.6,-1.26,69,Y,-1.54,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,512.631568,c 460-520,c 460-520,0.9713577,2.6 +7,8,23203,7,2,7,3,36,2.6,0.47,67,Y,0.57,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +2,3,23246,3,2,3,6,29,2.6,-0.61,69,Y,-0.71,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,559.999987,d 520-580,d 520-580,0.9713577,2.6 +1,1,23262,2,2,3,1,28,2.6,-1.27,68,Y,-1.72,F,2,P,94,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,544.210514,d 520-580,d 520-580,0.9713577,2.6 +2,1,23268,2,1,2,4,42,2.6,-1.13,65,Y,-1.69,P,7,P,94,1,2,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,765.263136,g 700+,h 760-820,0.9713577,2.6 +7,7,23269,7,2,7,2,28,2.6,0.42,56,Y,0.42,P,2,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,544.210514,d 520-580,d 520-580,0.9713577,2.6 +10,10,23297,10,1,7,3,37,2.6,1.53,66,Y,1.51,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +10,9,23358,10,1,3,3,24.5,2.6,1.3,67,Y,1,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,488.9473585,c 460-520,c 460-520,0.9713577,2.6 +8,6,23380,8,2,2,3,35,2.6,0.66,67,Y,0.22,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +1,1,23416,1,1,3,4,30,2.6,-1.83,68,Y,-2.07,F,2,F,95,1,3,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,575.78946,d 520-580,d 520-580,0.9713577,2.6 +,,23501,,2,7,,25,2.6,0.9,68,Y,0.25,P,7,P,94,2,5,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,496.842095,c 460-520,c 460-520,0.9713577,2.6 +3,2,23514,3,2,7,4,43,2.6,-0.75,68,Y,-1.17,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,781.052609,g 700+,h 760-820,0.9713577,2.6 +5,5,23538,5,1,7,2,26,2.6,-0.05,66,Y,-0.32,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,512.631568,c 460-520,c 460-520,0.9713577,2.6 +4,2,23546,5,2,7,4,37,2.6,-0.24,69,Y,-0.87,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,686.315771,f 640-700,f 640-700,0.9713577,2.6 +7,7,23569,8,1,7,3,31,2.6,0.52,64,Y,0.33,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +1,2,23668,2,1,5,1,29,2.6,-1.17,54,Y,-1.25,F,7,F,94,1,1,-47,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,559.999987,d 520-580,d 520-580,0.9713577,2.6 +1,2,23683,1,1,3,6,29,2.6,-1.36,66,Y,-1.12,P,7,P,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,559.999987,d 520-580,d 520-580,0.9713577,2.6 +2,1,23709,2,2,2,4,44,2.6,-0.85,62,Y,-1.55,F,7,P,96,2,5,-55,male,1,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,796.842082,g 700+,h 760-820,0.9713577,2.6 +3,1,23768,4,1,3,6,24,2.6,-0.53,69,Y,-1.77,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,481.052622,c 460-520,c 460-520,0.9713577,2.6 +1,2,23818,1,2,7,3,37,2.6,-1.5,69,Y,-1.24,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +9,9,23821,9,2,7,3,39,2.6,0.9,66,Y,0.9,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +3,3,23824,3,2,7,3,40,2.6,-0.68,68,Y,-0.77,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +2,1,23839,2,1,4,1,37,2.6,-0.88,68,Y,-1.65,F,2,P,94,1,4,-66,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +7,6,23843,8,2,7,2,36,2.6,0.51,67,Y,0.11,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,670.526298,f 640-700,f 640-700,0.9713577,2.6 +1,2,23856,1,1,3,3,25,2.6,-1.62,,Y,-1.12,F,7,F,95,1,3,,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,496.842095,c 460-520,c 460-520,0.9713577,2.6 +9,9,23861,10,2,7,1,43,2.6,1.3,65,Y,1.25,P,2,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,781.052609,g 700+,h 760-820,0.9713577,2.6 +6,6,23877,7,2,7,3,34,2.6,0.26,60,Y,0.14,P,2,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +2,3,23895,2,2,7,3,34,2.6,-0.9,68,Y,-0.69,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +3,4,23932,3,1,4,3,40,2.6,-0.62,64,Y,-0.34,P,7,P,94,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +7,6,24104,7,2,7,2,31.5,2.6,0.42,60,Y,0,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,599.4736695,e 580-640,e 580-640,0.9713577,2.6 +10,10,24140,10,1,3,6,32.5,2.6,1.94,66,Y,1.49,P,7,P,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,615.2631425,e 580-640,e 580-640,0.9713577,2.6 +5,3,24149,5,2,7,4,42,2.6,-0.1,59,Y,-0.58,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,765.263136,g 700+,h 760-820,0.9713577,2.6 +10,9,24151,10,2,7,3,36,2.6,1.45,67,Y,1.27,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,670.526298,f 640-700,f 640-700,0.9713577,2.6 +3,2,24169,3,1,3,1,31,2.6,-0.62,59,Y,-1.06,P,7,P,94,1,4,-52,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,591.578933,e 580-640,e 580-640,0.9713577,2.6 +,,24202,,1,7,,32,2.6,1.88,60,Y,1.67,P,7,P,94,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,607.368406,e 580-640,e 580-640,0.9713577,2.6 +7,8,24260,7,2,3,6,36,2.6,0.41,69,Y,0.65,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,670.526298,f 640-700,f 640-700,0.9713577,2.6 +,,24303,3,1,7,3,41,2.6,-0.64,65,Y,,F,7,P,95,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +6,9,24333,6,1,7,3,38,2.6,0.11,48,Y,0.95,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +7,6,24340,7,2,7,2,27,2.6,0.47,68,Y,0.2,P,7,P,94,2,5,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,528.421041,d 520-580,d 520-580,0.9713577,2.6 +2,1,24341,3,2,7,3,30.7,2.6,-0.78,62,Y,-1.38,F,7,P,96,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,586.8420911,e 580-640,e 580-640,0.9713577,2.6 +3,2,24345,4,2,1,1,30,2.6,-0.5,59,Y,-1.08,P,7,P,94,1,2,-52,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,575.78946,d 520-580,d 520-580,0.9713577,2.6 +2,1,24399,2,1,7,3,28.5,2.6,-0.95,66,Y,-1.35,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,552.1052505,d 520-580,d 520-580,0.9713577,2.6 +7,8,24443,8,2,7,3,42,2.6,0.53,66,Y,0.69,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,765.263136,g 700+,h 760-820,0.9713577,2.6 +1,1,24466,2,2,3,1,26,2.6,-1.14,57,Y,-1.76,F,2,F,96,2,3,-55,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,512.631568,c 460-520,c 460-520,0.9713577,2.6 +2,1,24490,2,2,2,1,36,2.6,-0.93,65,Y,-1.45,P,2,P,94,1,2,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,670.526298,f 640-700,f 640-700,0.9713577,2.6 +8,6,24599,8,1,7,2,32,2.6,0.73,62,Y,0,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,607.368406,e 580-640,e 580-640,0.9713577,2.6 +3,3,24622,3,1,6,2,29,2.6,-0.64,64,Y,-0.89,P,7,P,94,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,559.999987,d 520-580,d 520-580,0.9713577,2.6 +1,1,24625,1,2,7,3,33.5,2.6,-1.31,68,Y,-1.38,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,631.0526155,e 580-640,e 580-640,0.9713577,2.6 +1,1,24682,1,1,3,5,34,2.6,-1.36,69,Y,-1.44,F,2,F,95,1,2,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,6,638.947352,e 580-640,e 580-640,0.9713577,2.6 +,,24725,1,2,7,5,42,2.6,-2.01,67,X,,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,765.263136,g 700+,h 760-820,0.9713577,2.6 +7,8,24788,7,2,7,1,45,2.6,0.45,66,Y,0.57,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,812.631555,g 700+,h 760-820,0.9713577,2.6 +7,4,24797,7,1,2,5,43,2.6,0.57,65,Y,-0.46,P,7,P,94,1,4,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,781.052609,g 700+,h 760-820,0.9713577,2.6 +3,3,24811,3,2,7,3,36.5,2.6,-0.58,63,Y,-0.81,F,7,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,678.4210345,f 640-700,f 640-700,0.9713577,2.6 +1,3,24836,2,2,7,2,34.5,2.6,-1.13,68,Y,-0.78,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,646.8420885,f 640-700,f 640-700,0.9713577,2.6 +7,7,24893,7,1,7,3,40,2.6,0.35,62,Y,0.38,F,7,P,96,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,733.68419,g 700+,g 700-760,0.9713577,2.6 +1,1,24910,1,2,7,1,39,2.6,-1.89,64,Y,-1.92,F,7,F,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +1,1,24936,1,1,3,3,24,2.6,-1.46,59,Y,-1.51,F,2,F,96,2,3,-57,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,481.052622,c 460-520,c 460-520,0.9713577,2.6 +8,9,24975,8,2,7,1,44,2.6,0.63,53,Y,0.92,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.842082,g 700+,h 760-820,0.9713577,2.6 +1,1,25074,2,1,5,3,35,2.6,-1.17,64,Y,-1.52,P,7,P,94,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,654.736825,f 640-700,f 640-700,0.9713577,2.6 +3,5,25107,3,2,7,5,39,2.6,-0.59,65,Y,-0.02,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,717.894717,g 700+,g 700-760,0.9713577,2.6 +6,5,25142,6,1,3,6,25.5,2.6,0.21,69,Y,-0.24,P,7,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,504.7368315,c 460-520,c 460-520,0.9713577,2.6 +1,3,25248,2,1,3,2,22,2.6,-1.19,67,Y,-0.89,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,449.473676,b 400-460,b 400-460,0.9713577,2.6 +4,8,25265,4,2,7,3,38,2.6,-0.3,66,Y,0.74,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +2,1,25271,2,1,3,4,29,2.6,-1.1,69,Y,-2.04,F,7,F,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,559.999987,d 520-580,d 520-580,0.9713577,2.6 +5,6,25356,5,2,7,2,33,2.6,-0.1,67,Y,0.15,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +7,6,25392,8,1,7,2,34,2.6,0.54,65,Y,0.19,F,7,F,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,638.947352,e 580-640,e 580-640,0.9713577,2.6 +4,9,25465,5,2,7,6,29,2.6,-0.08,62,Y,1.2,F,7,F,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,559.999987,d 520-580,d 520-580,0.9713577,2.6 +2,2,25509,2,2,7,3,39,2.6,-1.06,67,Y,-0.94,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +1,2,25536,1,2,7,4,35,2.6,-1.47,69,Y,-1.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,654.736825,f 640-700,f 640-700,0.9713577,2.6 +7,4,25550,7,2,6,1,36,2.6,0.44,64,Y,-0.46,P,7,P,94,1,1,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,670.526298,f 640-700,f 640-700,0.9713577,2.6 +4,4,25558,4,1,7,2,34,2.6,-0.36,61,Y,-0.58,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,638.947352,e 580-640,e 580-640,0.9713577,2.6 +2,1,25606,2,1,3,1,21,2.6,-0.85,67,Y,-1.78,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,433.684203,b 400-460,b 400-460,0.9713577,2.6 +5,4,25717,5,2,4,3,25,2.6,-0.08,65,Y,-0.55,P,7,P,94,1,2,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,496.842095,c 460-520,c 460-520,0.9713577,2.6 +2,1,25768,2,1,4,1,36,2.6,-1.06,40,Y,-1.58,F,7,P,95,1,2,-33,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,670.526298,f 640-700,f 640-700,0.9713577,2.6 +4,4,25782,4,2,7,3,30,2.6,-0.26,63,Y,-0.52,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,575.78946,d 520-580,d 520-580,0.9713577,2.6 +7,6,25799,7,2,7,1,42,2.6,0.37,65,Y,0.03,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,765.263136,g 700+,h 760-820,0.9713577,2.6 +3,5,25811,4,1,3,1,26,2.6,-0.5,64,Y,-0.23,P,7,P,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,512.631568,c 460-520,c 460-520,0.9713577,2.6 +6,6,25903,6,1,3,6,32,2.6,0.19,66,Y,0.1,P,7,P,94,1,,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,607.368406,e 580-640,e 580-640,0.9713577,2.6 +,,25976,,2,7,,27,2.6,0.94,68,Y,0.92,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,528.421041,d 520-580,d 520-580,0.9713577,2.6 +5,5,25978,6,2,7,1,39,2.6,0.07,65,Y,-0.17,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +2,1,25995,3,2,5,2,34,2.6,-0.76,60,Y,-1.42,F,7,P,95,1,4,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,638.947352,e 580-640,e 580-640,0.9713577,2.6 +,,26013,,1,6,6,28,2.6,,64,Y,,F,7,P,95,1,2,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,544.210514,d 520-580,d 520-580,0.9713577,2.6 +9,10,26033,9,2,7,1,33,2.6,1.28,64,Y,1.99,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,623.157879,e 580-640,e 580-640,0.9713577,2.6 +,,26140,,2,7,1,46,2.6,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,828.421028,g 700+,i 820+,0.9713577,2.6 +3,3,26161,3,1,3,3,23.5,2.6,-0.69,69,Y,-0.72,F,7,F,94,1,1,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,473.1578855,c 460-520,c 460-520,0.9713577,2.6 +1,1,26169,1,2,3,3,18,2.6,-2.1,62,Y,-2.09,F,7,F,94,1,1,-55,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,386.315784,a under 400,a under 400,0.9713577,2.6 +7,7,26186,7,2,7,3,34,2.6,0.39,61,Y,0.32,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,638.947352,e 580-640,e 580-640,0.9713577,2.6 +9,9,26193,9,2,7,3,37,2.6,1.16,53,Y,1.2,P,7,P,95,2,3,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +,,26253,,2,7,6,42,2.6,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,765.263136,g 700+,h 760-820,0.9713577,2.6 +,,26274,10,2,2,3,32.5,2.6,2.05,68,X,,P,2,P,96,1,4,-66,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,615.2631425,e 580-640,e 580-640,0.9713577,2.6 +6,6,26292,6,2,7,3,29,2.6,0.07,62,Y,0.02,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,559.999987,d 520-580,d 520-580,0.9713577,2.6 +1,2,26299,1,2,7,1,37,2.6,-1.34,49,Y,-1.1,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,686.315771,f 640-700,f 640-700,0.9713577,2.6 +9,7,26358,9,2,7,2,33,2.6,0.99,64,Y,0.41,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,623.157879,e 580-640,e 580-640,0.9713577,2.6 +4,2,26393,4,2,7,3,41,2.6,-0.41,66,Y,-1.03,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,749.473663,g 700+,g 700-760,0.9713577,2.6 +7,5,26418,7,1,7,4,39,2.6,0.37,68,Y,-0.16,P,7,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,717.894717,g 700+,g 700-760,0.9713577,2.6 +1,1,26420,2,2,7,3,30.5,2.6,-1.15,66,Y,-1.43,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,583.6841965,e 580-640,e 580-640,0.9713577,2.6 +9,9,26433,9,2,7,1,39,2.6,0.95,51,Y,1.2,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,717.894717,g 700+,g 700-760,0.9713577,2.6 +7,8,26521,7,2,5,3,40.5,2.6,0.46,66,Y,0.64,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,741.5789265,g 700+,g 700-760,0.9713577,2.6 +7,3,26525,7,2,5,1,38,2.6,0.4,57,Y,-0.6,P,2,P,96,2,4,-55,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,702.105244,g 700+,g 700-760,0.9713577,2.6 +1,1,26583,1,2,3,1,29,2.6,-2.33,70,Y,-1.53,F,7,P,95,1,4,-63,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,559.999987,d 520-580,d 520-580,0.9713577,2.6 +3,4,26608,4,2,1,1,33,2.6,-0.47,69,Y,-0.49,F,7,P,95,1,4,-62,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,4,623.157879,e 580-640,e 580-640,0.9713577,2.6 +9,9,26612,9,2,7,3,42,2.6,1.13,67,Y,0.91,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,765.263136,g 700+,h 760-820,0.9713577,2.6 +10,4,26624,10,1,7,4,32.5,2.6,1.29,67,Y,-0.37,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,615.2631425,e 580-640,e 580-640,0.9713577,2.6 +2,5,26645,2,2,7,4,45,2.6,-1.04,55,Y,-0.03,F,7,F,95,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,812.631555,g 700+,h 760-820,0.9713577,2.6 +5,3,26651,5,2,7,3,37,2.6,-0.15,69,Y,-0.78,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.315771,f 640-700,f 640-700,0.9713577,2.6 +8,7,26661,8,2,7,3,47,2.6,0.78,59,Y,0.49,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,844.210501,g 700+,i 820+,0.9713577,2.6 +6,1,26745,6,2,7,3,38,2.6,0.15,59,Y,-1.62,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,702.105244,g 700+,g 700-760,0.9713577,2.6 +2,2,26764,2,1,7,4,36,2.6,-1.07,55,Y,-0.97,F,7,P,95,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,670.526298,f 640-700,f 640-700,0.9713577,2.6 +5,4,26823,5,2,7,3,27.5,2.6,-0.03,68,Y,-0.43,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,536.3157775,d 520-580,d 520-580,0.9713577,2.6 +8,10,26871,8,2,7,1,44,2.6,0.84,65,Y,1.64,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,796.842082,g 700+,h 760-820,0.9713577,2.6 +3,2,26877,4,2,7,3,31,2.6,-0.43,68,Y,-1.24,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +10,10,26924,10,2,4,6,27,2.6,1.65,66,Y,1.88,P,7,P,94,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,528.421041,d 520-580,d 520-580,0.9713577,2.6 +4,1,27028,5,1,3,6,22,2.6,-0.26,68,Y,-1.41,F,7,F,94,1,,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,449.473676,b 400-460,b 400-460,0.9713577,2.6 +6,6,27071,6,2,7,6,24,2.6,0.17,60,Y,0.23,P,7,P,94,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,481.052622,c 460-520,c 460-520,0.9713577,2.6 +1,1,27132,1,2,3,1,27,2.6,-1.48,67,Y,-2.2,P,7,P,94,1,2,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,528.421041,d 520-580,d 520-580,0.9713577,2.6 +2,2,27166,2,1,7,5,37.5,2.6,-0.98,66,Y,-0.87,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,694.2105075,f 640-700,f 640-700,0.9713577,2.6 +,,27320,,2,6,1,32,2.6,,63,Y,-0.73,P,7,P,95,2,3,-56,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,607.368406,e 580-640,e 580-640,0.9713577,2.6 +8,7,27397,8,2,2,3,39,2.6,0.7,63,Y,0.26,P,7,P,94,2,4,-56,male,1,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,717.894717,g 700+,g 700-760,0.9713577,2.6 +5,6,27401,6,1,7,3,31,2.6,0.03,67,Y,0.15,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,591.578933,e 580-640,e 580-640,0.9713577,2.6 +10,10,27410,10,1,7,2,22,2.6,1.31,46,Y,1.37,P,7,P,95,2,2,-39,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,449.473676,b 400-460,b 400-460,0.9713577,2.6 +,,27446,1,2,3,3,30,2.6,-1.51,65,X,,P,2,P,96,1,3,-63,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,575.78946,d 520-580,d 520-580,0.9713577,2.6 +9,8,44,9,1,7,1,46,3.8,1.27,69,Y,0.87,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,948.421028,g 700+,i 820+,0.99969816,3.8 +6,2,62,6,2,7,1,35,3.8,0.27,67,Y,-0.98,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,83,,1,7,1,36,3.8,,66,Y,0.94,P,2,P,96,2,3,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +5,7,125,5,2,7,5,41,3.8,0.02,67,Y,0.33,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +6,7,133,7,1,7,5,42,3.8,0.35,62,Y,0.35,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +4,7,136,4,2,7,4,40,3.8,-0.41,67,Y,0.46,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +9,9,156,10,2,7,3,35.5,3.8,1.27,68,Y,1,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.6315615,g 700+,h 760-820,0.99969816,3.8 +7,7,161,7,1,7,1,41,3.8,0.48,69,Y,0.35,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +6,8,197,6,2,7,1,42,3.8,0.26,68,Y,0.62,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +10,9,225,10,2,7,3,33,3.8,1.58,67,Y,1.24,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +7,8,237,7,1,7,5,40,3.8,0.55,69,Y,0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +7,7,250,7,2,7,3,40,3.8,0.4,67,Y,0.51,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +4,2,274,4,1,7,4,46,3.8,-0.25,69,Y,-1.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +,,307,10,2,7,5,40,3.8,1.54,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +10,10,340,10,1,7,4,44,3.8,1.36,68,Y,1.5,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +8,7,345,8,1,7,1,37,3.8,0.64,62,Y,0.45,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +7,7,353,7,1,7,1,41,3.8,0.43,69,Y,0.41,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +7,5,363,7,2,7,5,47,3.8,0.5,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +7,7,365,7,2,7,4,42,3.8,0.54,64,Y,0.38,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +4,5,371,4,2,7,5,44,3.8,-0.39,69,Y,-0.18,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +10,10,422,10,1,7,1,41,3.8,1.6,69,Y,1.49,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +9,7,444,9,2,7,4,44,3.8,0.89,69,Y,0.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +6,6,466,6,2,7,4,47,3.8,0.09,69,Y,0.22,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,964.210501,g 700+,i 820+,0.99969816,3.8 +5,6,504,5,1,7,1,41,3.8,-0.08,70,Y,0.05,P,7,P,94,1,1,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,520,10,1,7,1,37,3.8,1.6,67,Y,1.59,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,10,552,9,2,7,1,35,3.8,1.14,68,Y,1.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,591,,1,7,1,39,3.8,,66,Y,,P,7,P,95,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +8,10,594,8,1,7,5,44,3.8,0.78,69,Y,1.4,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +,,616,,2,7,5,48,3.8,,64,Y,0,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +8,9,635,8,1,7,4,48,3.8,0.86,63,Y,0.99,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +,,638,,1,7,5,34,3.8,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,758.947352,g 700+,g 700-760,0.99969816,3.8 +8,9,670,8,1,7,1,41,3.8,0.68,64,Y,0.94,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +2,1,684,2,1,7,3,37,3.8,-0.88,69,Y,-2.11,F,7,F,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,7,700,4,2,7,3,31,3.8,-0.46,68,Y,0.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.578933,g 700+,g 700-760,0.99969816,3.8 +9,10,708,9,2,7,1,38,3.8,1.16,68,Y,1.59,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +8,7,710,8,2,7,1,37,3.8,0.75,68,Y,0.49,P,2,P,96,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,10,738,10,1,7,3,37,3.8,2.26,56,Y,2.13,P,7,P,94,1,5,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +4,5,742,4,1,7,1,38,3.8,-0.41,68,Y,-0.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +5,5,762,5,1,7,5,45,3.8,-0.04,69,Y,-0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +2,3,772,2,1,7,1,38,3.8,-1.03,69,Y,-0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +1,1,775,1,1,2,1,37,3.8,-2.66,69,Y,-2.58,P,2,P,95,1,4,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +2,2,799,2,2,7,1,41,3.8,-0.98,69,Y,-1.12,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +2,1,808,2,2,2,4,37,3.8,-1.04,64,Y,-1.73,P,7,P,94,1,3,-57,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,8,833,10,2,7,3,41,3.8,1.26,69,Y,0.74,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.473663,g 700+,i 820+,0.99969816,3.8 +5,6,848,5,2,7,1,33,3.8,-0.14,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +2,2,886,2,1,7,5,32,3.8,-0.86,69,Y,-0.85,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,727.368406,g 700+,g 700-760,0.99969816,3.8 +,,931,5,2,7,5,38,3.8,0.03,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,822.105244,g 700+,i 820+,0.99969816,3.8 +8,9,936,8,1,7,3,27,3.8,0.58,69,Y,0.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.421041,f 640-700,f 640-700,0.99969816,3.8 +8,9,948,8,2,7,3,35,3.8,0.65,67,Y,1.27,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +3,5,983,4,1,7,1,36,3.8,-0.43,67,Y,-0.17,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +5,4,985,5,2,7,4,35,3.8,-0.15,67,Y,-0.24,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,1005,,2,,5,47,3.8,,67,Y,0,P,7,P,94,1,4,-60,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +5,4,1025,5,1,7,5,41,3.8,0.04,70,Y,-0.44,P,7,P,94,1,5,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +7,5,1026,7,2,7,1,39,3.8,0.38,69,Y,-0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +2,3,1060,3,2,2,5,45,3.8,-0.85,69,Y,-0.67,P,7,P,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +1,1,1084,2,1,3,4,37,3.8,-1.23,65,Y,-1.67,P,7,P,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +6,8,1088,6,2,7,5,46,3.8,0.33,69,Y,0.78,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +5,6,1104,5,2,7,1,39,3.8,-0.12,51,Y,0.09,P,7,P,94,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +3,1,1115,3,2,7,5,47,3.8,-0.58,70,Y,-1.76,P,2,P,95,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +8,9,1125,8,1,7,3,33,3.8,0.7,68,Y,1.22,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +9,8,1176,9,1,7,2,37,3.8,0.94,68,Y,0.68,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,10,1182,9,2,7,3,45,3.8,1.12,64,Y,2.12,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,932.631555,g 700+,i 820+,0.99969816,3.8 +,,1204,,1,7,5,39,3.8,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +9,10,1206,9,1,7,1,37,3.8,1.23,69,Y,1.37,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +4,5,1210,4,1,7,5,42,3.8,-0.41,69,Y,0,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +4,3,1215,5,1,7,2,42,3.8,-0.22,56,Y,-0.79,P,7,P,95,1,3,-49,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,885.263136,g 700+,i 820+,0.99969816,3.8 +7,7,1244,7,2,7,1,35,3.8,0.5,62,Y,0.42,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +4,6,1255,5,2,7,5,44,3.8,-0.21,69,Y,0.25,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +6,3,1269,6,2,7,5,48,3.8,0.15,68,Y,-0.7,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +1,1,1307,2,1,2,3,29,3.8,-1.2,69,Y,-1.5,P,2,P,95,1,3,-67,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,679.999987,f 640-700,f 640-700,0.99969816,3.8 +3,4,1330,3,2,7,4,34,3.8,-0.69,67,Y,-0.36,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,758.947352,g 700+,g 700-760,0.99969816,3.8 +,,1337,,2,5,1,26,3.8,,70,Y,,P,7,P,94,1,2,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,632.631568,e 580-640,e 580-640,0.99969816,3.8 +8,9,1369,8,1,7,4,33,3.8,0.77,69,Y,0.99,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +2,4,1378,3,1,3,3,32,3.8,-0.8,64,Y,-0.52,F,7,P,95,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +6,7,1424,6,2,7,1,44,3.8,0.21,70,Y,0.35,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +,,1430,2,1,7,5,41,3.8,-1.09,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +3,2,1484,3,1,7,1,31,3.8,-0.65,58,Y,-0.98,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.578933,g 700+,g 700-760,0.99969816,3.8 +5,6,1510,6,1,7,5,44,3.8,0.06,69,Y,0.18,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +10,9,1649,10,1,7,2,35,3.8,1.57,66,Y,1.27,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,8,1732,8,1,7,3,37,3.8,0.77,69,Y,0.71,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,9,1786,10,1,7,4,39,3.8,1.57,64,Y,1.07,P,7,P,95,1,2,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +9,9,1791,9,2,7,1,41,3.8,0.97,56,Y,1.26,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +,,1808,,1,7,5,37,3.8,,65,Y,,P,7,P,94,1,,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,806.315771,g 700+,h 760-820,0.99969816,3.8 +8,8,1813,8,1,7,4,32,3.8,0.61,69,Y,0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.368406,g 700+,g 700-760,0.99969816,3.8 +8,7,1814,8,1,7,5,47,3.8,0.9,69,Y,0.54,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +,,1847,,1,7,1,35.5,3.8,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.6315615,g 700+,h 760-820,0.99969816,3.8 +5,3,1856,5,2,7,4,34,3.8,-0.16,51,Y,-0.7,F,7,F,95,1,3,-44,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,758.947352,g 700+,g 700-760,0.99969816,3.8 +8,6,1879,8,1,7,1,31.5,3.8,0.66,69,Y,0.27,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,719.4736695,g 700+,g 700-760,0.99969816,3.8 +8,9,1956,8,2,7,5,43,3.8,0.78,70,Y,0.91,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +10,10,1980,10,1,7,4,42,3.8,2.23,63,Y,2.57,P,7,P,94,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +2,3,1989,2,1,7,1,35,3.8,-1.03,69,Y,-0.58,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +6,4,2003,7,2,7,2,30,3.8,0.22,69,Y,-0.47,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,695.78946,f 640-700,f 640-700,0.99969816,3.8 +10,10,2087,10,2,7,5,47,3.8,1.6,69,Y,1.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +10,10,2115,10,1,7,4,41,3.8,1.37,64,Y,1.66,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +9,7,2116,9,1,7,1,42,3.8,0.92,69,Y,0.49,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +8,7,2191,8,1,7,3,40,3.8,0.57,67,Y,0.53,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +1,3,2202,2,1,7,4,33,3.8,-1.18,61,Y,-0.79,P,2,P,96,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +3,3,2220,4,1,7,6,23,3.8,-0.48,46,Y,-0.75,F,7,F,94,1,,-39,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,585.263149,e 580-640,e 580-640,0.99969816,3.8 +8,5,2250,8,2,7,3,36,3.8,0.72,69,Y,-0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +9,8,2270,9,1,7,1,39,3.8,0.91,69,Y,0.75,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +8,8,2284,8,2,7,1,41,3.8,0.83,38,Y,0.75,P,2,P,94,1,2,-36,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +9,9,2303,9,2,7,4,47,3.8,1.27,68,Y,0.94,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,964.210501,g 700+,i 820+,0.99969816,3.8 +10,10,2304,10,1,7,4,48,3.8,1.43,69,Y,2.12,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +5,6,2315,5,2,7,1,42,3.8,-0.01,69,Y,0.1,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +3,7,2330,3,2,7,4,30,3.8,-0.69,69,Y,0.53,P,7,P,94,,4,-62,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,695.78946,f 640-700,f 640-700,0.99969816,3.8 +10,9,2349,10,2,7,1,40,3.8,1.52,65,Y,1.18,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +6,6,2379,6,1,2,4,40,3.8,0.23,69,Y,0.18,P,7,P,94,1,2,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +7,6,2380,7,2,7,4,44,3.8,0.43,69,Y,0.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +2,2,2393,2,2,5,5,30,3.8,-1.07,58,Y,-1.19,P,7,P,94,1,1,-51,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,695.78946,f 640-700,f 640-700,0.99969816,3.8 +4,6,2414,4,1,7,5,48,3.8,-0.37,69,Y,0.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +10,10,2438,10,1,7,4,41,3.8,1.75,68,Y,1.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +9,9,2452,9,1,7,3,30,3.8,1.18,61,Y,0.88,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.78946,f 640-700,f 640-700,0.99969816,3.8 +9,10,2471,9,1,7,5,42,3.8,1.27,64,Y,1.61,P,7,P,95,2,2,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +,,2476,,1,7,5,45,3.8,,58,Y,0,P,7,P,94,1,1,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +10,10,2529,10,2,7,4,36,3.8,1.85,67,Y,2.34,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,790.526298,g 700+,h 760-820,0.99969816,3.8 +7,8,2543,7,1,7,5,36,3.8,0.6,69,Y,0.73,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,790.526298,g 700+,h 760-820,0.99969816,3.8 +4,4,2579,4,2,7,3,39,3.8,-0.32,68,Y,-0.42,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +,,2593,,2,7,5,48,3.8,,69,Y,0,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +9,9,2603,9,1,7,3,37,3.8,0.92,69,Y,0.97,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +4,2,2612,4,2,7,1,39,3.8,-0.37,66,Y,-1.09,P,7,P,95,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +9,10,2655,9,1,7,5,43,3.8,1.14,69,Y,1.48,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +5,6,2670,5,1,7,5,42,3.8,0.05,69,Y,0.03,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +7,9,2729,7,2,7,1,30.5,3.8,0.57,68,Y,0.93,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.6841965,g 700+,g 700-760,0.99969816,3.8 +6,8,2811,7,2,2,1,45,3.8,0.3,57,Y,0.66,P,7,P,94,1,4,-50,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +8,7,2857,8,2,7,4,44,3.8,0.86,64,Y,0.32,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +3,3,2866,3,2,7,4,42,3.8,-0.52,68,Y,-0.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +8,10,2870,8,1,7,5,39,3.8,0.79,69,Y,1.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +5,7,2876,5,2,2,4,43,3.8,-0.08,68,Y,0.4,P,2,P,96,1,4,-66,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +2,5,2911,2,2,7,3,32.5,3.8,-0.91,59,Y,-0.25,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,735.2631425,g 700+,g 700-760,0.99969816,3.8 +,,2932,,1,7,1,34,3.8,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +1,1,2933,1,2,7,1,38,3.8,-1.57,69,Y,-1.65,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +,,2956,,2,7,4,41,3.8,,58,Y,,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +3,5,3022,4,1,7,5,42,3.8,-0.48,68,Y,-0.02,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,3035,10,2,7,3,45,3.8,1.57,67,Y,1.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,932.631555,g 700+,i 820+,0.99969816,3.8 +8,7,3039,9,2,7,1,39,3.8,0.89,69,Y,0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +10,10,3063,10,1,7,1,39,3.8,1.8,60,Y,1.56,P,7,P,94,1,2,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +8,8,3076,8,1,7,1,39,3.8,0.71,62,Y,0.56,P,2,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +8,8,3087,8,1,7,1,42,3.8,0.84,55,Y,0.73,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +10,9,3104,10,1,7,2,40,3.8,1.3,68,Y,1.04,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,853.68419,g 700+,i 820+,0.99969816,3.8 +10,10,3109,10,1,7,4,37,3.8,1.71,68,Y,1.59,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,10,3165,9,1,7,2,31,3.8,0.88,69,Y,1.48,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,711.578933,g 700+,g 700-760,0.99969816,3.8 +2,2,3187,2,2,7,1,42,3.8,-0.98,64,Y,-1.22,P,7,P,94,1,1,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,3207,10,2,7,1,41,3.8,1.67,67,Y,2.04,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +8,9,3216,8,2,7,1,35,3.8,0.71,68,Y,1.14,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +9,10,3223,9,1,7,3,34,3.8,1.18,67,Y,1.36,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +5,5,3267,5,2,7,1,37,3.8,0.02,69,Y,-0.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,3275,,1,7,5,47,3.8,,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +,,3295,,2,7,3,38,3.8,,70,Y,,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +9,9,3307,9,2,7,4,41.5,3.8,1.13,67,Y,0.94,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,877.3683995,g 700+,i 820+,0.99969816,3.8 +,,3334,,2,7,5,39,3.8,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +6,7,3366,6,2,7,5,47,3.8,0.25,69,Y,0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +7,7,3375,8,2,7,3,38,3.8,0.55,68,Y,0.45,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +3,2,3395,3,1,7,5,39,3.8,-0.77,65,Y,-0.9,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +3,2,3467,3,1,6,3,34,3.8,-0.57,69,Y,-0.97,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +9,8,3486,9,2,7,3,37,3.8,0.88,63,Y,0.67,P,7,P,95,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +8,9,3518,8,1,7,4,40,3.8,0.57,61,Y,0.96,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +1,2,3544,1,2,7,4,43.5,3.8,-1.31,67,Y,-1,P,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.9473455,g 700+,i 820+,0.99969816,3.8 +3,2,3558,3,1,7,4,43,3.8,-0.7,67,Y,-1.25,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +,,3573,,2,7,5,47,3.8,,68,Y,0,P,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +8,6,3582,8,1,7,3,36,3.8,0.7,68,Y,0.19,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +7,8,3585,7,2,7,1,37,3.8,0.55,65,Y,0.81,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,4,3591,3,1,7,2,29,3.8,-0.62,70,Y,-0.52,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,679.999987,f 640-700,f 640-700,0.99969816,3.8 +7,8,3599,7,1,7,5,48,3.8,0.54,67,Y,0.82,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +2,3,3612,2,1,7,3,33,3.8,-0.89,69,Y,-0.72,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +2,4,3632,2,2,7,1,36,3.8,-1.04,57,Y,-0.49,P,2,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +3,3,3635,4,2,7,1,32,3.8,-0.48,68,Y,-0.76,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.368406,g 700+,g 700-760,0.99969816,3.8 +9,7,3667,9,2,7,3,38,3.8,1.12,68,Y,0.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +10,9,3668,10,2,7,4,44,3.8,1.59,69,Y,1.23,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +5,5,3687,5,1,7,4,40,3.8,-0.18,69,Y,-0.14,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +8,7,3699,8,2,7,4,39,3.8,0.58,68,Y,0.32,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +,,3743,,1,2,5,47,3.8,,70,Y,0,P,7,P,94,1,2,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +7,8,3762,7,2,7,4,42,3.8,0.28,69,Y,0.72,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +5,7,3778,5,1,7,1,43,3.8,-0.15,70,Y,0.43,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +6,4,3790,6,1,7,5,47,3.8,0.15,67,Y,-0.3,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +10,10,3801,10,2,7,1,34,3.8,1.99,68,Y,1.97,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +7,7,3811,7,1,7,1,38,3.8,0.39,69,Y,0.33,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +10,10,3813,10,1,7,2,33,3.8,2.52,55,Y,2.54,P,2,P,95,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,743.157879,g 700+,g 700-760,0.99969816,3.8 +7,8,3817,7,2,7,1,43,3.8,0.36,67,Y,0.63,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +,,3848,9,1,7,5,43,3.8,1.37,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +2,1,3853,2,2,3,4,31.5,3.8,-1.08,61,Y,-2.07,P,7,P,95,1,1,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,719.4736695,g 700+,g 700-760,0.99969816,3.8 +1,6,3885,1,2,7,3,35,3.8,-1.31,66,Y,0,P,2,P,96,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +9,8,3889,9,2,7,3,38.5,3.8,1.04,68,Y,0.67,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,829.9999805,g 700+,i 820+,0.99969816,3.8 +10,10,3924,10,1,7,2,36,3.8,1.44,68,Y,1.33,P,2,P,96,2,3,-66,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,790.526298,g 700+,h 760-820,0.99969816,3.8 +7,6,3992,7,2,7,5,47,3.8,0.54,68,Y,0.13,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +9,10,4002,9,1,7,1,41,3.8,1.27,70,Y,1.6,P,7,P,94,1,1,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +5,6,4003,5,2,7,3,24,3.8,-0.13,67,Y,0.22,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,601.052622,e 580-640,e 580-640,0.99969816,3.8 +,,4039,,2,7,5,47,3.8,,52,Y,0,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +8,6,4053,8,2,7,1,38,3.8,0.74,69,Y,0.15,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +1,1,4060,1,2,7,5,42,3.8,-2.09,69,Y,-2.18,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +3,7,4064,4,1,7,4,48,3.8,-0.47,68,Y,0.26,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +5,5,4076,5,2,7,4,42,3.8,-0.18,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +,,4095,,1,7,5,41,3.8,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +,,4147,10,2,7,5,44,3.8,1.6,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +,,4195,8,2,7,1,40,3.8,0.65,62,Y,,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +9,10,4210,9,1,7,1,36.5,3.8,1.08,67,Y,1.6,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,798.4210345,g 700+,h 760-820,0.99969816,3.8 +10,10,4212,10,1,7,3,40,3.8,1.94,68,Y,1.72,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +5,5,4277,6,2,7,4,40,3.8,0.03,69,Y,-0.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +7,7,4282,8,2,7,1,39,3.8,0.59,61,Y,0.5,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +,,4312,,2,7,1,39,3.8,,67,Y,,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +8,9,4315,8,1,7,3,32,3.8,0.81,69,Y,1.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +3,6,4322,3,1,2,3,26,3.8,-0.67,61,Y,0.01,P,7,P,95,2,4,-54,female,1,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,632.631568,e 580-640,e 580-640,0.99969816,3.8 +,,4331,,1,7,4,32,3.8,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.368406,g 700+,g 700-760,0.99969816,3.8 +7,7,4368,7,1,7,1,42,3.8,0.57,66,Y,0.3,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +3,3,4433,3,1,6,1,35,3.8,-0.52,66,Y,-0.82,P,2,P,95,1,3,-64,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +10,10,4500,10,1,7,5,42,3.8,2.08,69,Y,1.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +4,7,4558,4,1,7,4,33,3.8,-0.28,69,Y,0.48,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +,,4562,,2,7,5,47,3.8,,68,Y,0,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +2,1,4567,2,2,7,3,35,3.8,-1.11,69,Y,-1.47,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +10,10,4589,10,2,7,1,40,3.8,1.75,68,Y,1.73,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +3,5,4598,3,1,7,4,42,3.8,-0.56,70,Y,-0.22,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +10,8,4633,10,1,6,4,38,3.8,1.3,63,Y,0.78,P,2,P,94,1,,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +4,4,4645,5,1,7,2,30,3.8,-0.21,69,Y,-0.45,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,695.78946,f 640-700,f 640-700,0.99969816,3.8 +7,7,4675,8,1,7,3,36.5,3.8,0.55,63,Y,0.3,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,798.4210345,g 700+,h 760-820,0.99969816,3.8 +9,9,4682,9,2,7,1,44,3.8,1.06,68,Y,1.22,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +9,8,4689,9,2,7,1,34,3.8,1.03,55,Y,0.84,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +,,4696,,2,7,2,34,3.8,,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,758.947352,g 700+,g 700-760,0.99969816,3.8 +7,5,4712,7,2,7,2,40,3.8,0.46,68,Y,-0.2,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,853.68419,g 700+,i 820+,0.99969816,3.8 +9,9,4723,10,2,7,1,44,3.8,1.3,68,Y,0.94,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +8,9,4727,8,1,7,1,34,3.8,0.8,69,Y,1.17,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +9,9,4737,9,2,7,5,45,3.8,0.97,69,Y,1.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +6,8,4746,6,2,7,5,39,3.8,0.12,68,Y,0.79,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +,,4801,5,2,7,4,29,3.8,-0.24,63,Y,,P,7,P,94,1,1,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,679.999987,f 640-700,f 640-700,0.99969816,3.8 +8,9,4811,8,1,7,4,37,3.8,0.71,69,Y,1.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +6,8,4829,6,1,7,1,39,3.8,0.21,69,Y,0.68,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +9,10,4842,9,2,7,2,38,3.8,1.01,67,Y,1.56,P,7,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,822.105244,g 700+,i 820+,0.99969816,3.8 +4,3,4844,5,1,4,6,24,3.8,-0.23,65,Y,-0.57,F,2,F,95,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,601.052622,e 580-640,e 580-640,0.99969816,3.8 +5,6,4946,6,1,7,1,39,3.8,0.08,63,Y,0.19,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +1,2,4948,2,1,7,1,37,3.8,-1.15,67,Y,-1,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,8,4956,10,1,7,1,44,3.8,1.63,68,Y,0.6,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +9,8,4980,9,1,7,4,44,3.8,1.01,64,Y,0.69,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +8,7,4982,8,2,7,1,41,3.8,0.78,69,Y,0.31,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +7,8,4996,7,2,7,5,38,3.8,0.38,61,Y,0.56,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,822.105244,g 700+,i 820+,0.99969816,3.8 +2,6,5034,2,2,7,1,36,3.8,-0.93,60,Y,0.13,P,2,P,96,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +2,2,5059,2,2,2,1,41,3.8,-0.97,65,Y,-1.16,P,7,P,94,1,1,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +6,9,5088,6,1,6,4,41,3.8,0.23,66,Y,1.15,P,7,P,94,1,3,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +,,5139,3,1,7,5,45,3.8,-0.62,62,Y,,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +6,7,5176,6,1,7,2,37,3.8,0.12,63,Y,0.53,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,3,5197,3,1,7,5,43,3.8,-0.73,68,Y,-0.66,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +5,4,5212,5,1,7,1,32.5,3.8,-0.16,68,Y,-0.43,P,6,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,735.2631425,g 700+,g 700-760,0.99969816,3.8 +8,9,5220,8,2,6,4,31,3.8,0.69,69,Y,1.22,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,711.578933,g 700+,g 700-760,0.99969816,3.8 +,,5254,,1,7,2,26,3.8,,52,Y,0.49,P,2,P,95,1,1,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,632.631568,e 580-640,e 580-640,0.99969816,3.8 +9,8,5260,9,1,7,4,36,3.8,0.88,69,Y,0.6,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,790.526298,g 700+,h 760-820,0.99969816,3.8 +3,4,5311,3,1,7,1,42,3.8,-0.69,67,Y,-0.46,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +6,6,5332,6,1,7,1,42,3.8,0.19,69,Y,0.21,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +9,10,5349,9,2,7,3,42,3.8,1.11,69,Y,1.38,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,5353,10,2,7,3,38,3.8,1.69,68,Y,1.42,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +7,7,5389,7,1,7,4,34,3.8,0.38,69,Y,0.49,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,758.947352,g 700+,g 700-760,0.99969816,3.8 +8,8,5396,8,2,7,1,41,3.8,0.62,62,Y,0.77,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +9,10,5402,9,2,7,4,45,3.8,1.12,60,Y,1.58,P,7,P,95,1,5,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +1,1,5408,1,2,2,4,41,3.8,-1.37,69,Y,-1.62,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +7,8,5433,7,1,7,5,40,3.8,0.55,67,Y,0.62,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +1,3,5443,1,1,7,5,45,3.8,-1.28,67,Y,-0.79,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +3,3,5470,4,2,7,1,31,3.8,-0.45,55,Y,-0.68,P,7,P,94,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.578933,g 700+,g 700-760,0.99969816,3.8 +7,7,5473,8,1,7,1,37,3.8,0.58,67,Y,0.49,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,5482,10,2,7,5,48,3.8,1.55,69,Y,,P,2,P,95,1,2,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +7,6,5487,7,1,7,1,44,3.8,0.36,69,Y,0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +,,5492,7,2,7,5,38.5,3.8,0.49,68,Y,,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,829.9999805,g 700+,i 820+,0.99969816,3.8 +7,5,5497,7,1,7,4,41,3.8,0.42,67,Y,0.01,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +9,9,5511,9,1,7,3,36,3.8,0.88,68,Y,1.08,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +5,8,5622,5,1,7,1,32,3.8,-0.03,47,Y,0.66,P,2,P,95,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.368406,g 700+,g 700-760,0.99969816,3.8 +3,3,5635,3,1,7,1,37,3.8,-0.52,68,Y,-0.76,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,9,5651,9,2,7,1,47,3.8,1.2,69,Y,1.26,P,7,P,94,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,964.210501,g 700+,i 820+,0.99969816,3.8 +7,6,5656,7,2,7,1,33,3.8,0.39,68,Y,0.26,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +5,4,5716,5,2,2,4,39,3.8,-0.14,70,Y,-0.25,P,7,P,94,1,5,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +9,10,5760,9,1,7,1,34,3.8,1.29,69,Y,1.67,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +4,4,5766,4,1,3,4,32.5,3.8,-0.44,68,Y,-0.31,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,735.2631425,g 700+,g 700-760,0.99969816,3.8 +8,9,5783,8,2,7,1,42,3.8,0.77,69,Y,0.88,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,5818,10,2,7,1,41,3.8,1.66,69,Y,1.61,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +4,4,5905,4,1,2,1,36,3.8,-0.35,68,Y,-0.32,P,7,P,95,1,,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +5,6,5965,5,2,7,1,40,3.8,0.02,67,Y,0.2,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +7,9,5967,7,1,7,1,33,3.8,0.5,62,Y,0.9,P,7,P,95,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +10,10,5980,10,2,7,1,41,3.8,1.73,71,Y,2.16,P,7,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +5,6,5983,5,2,7,5,48,3.8,-0.03,69,Y,0.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +,,6007,,2,2,5,43,3.8,,67,Y,0,P,7,P,95,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +1,2,6019,1,1,2,1,29,3.8,-1.57,69,Y,-1.12,F,2,F,95,1,3,-67,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,679.999987,f 640-700,f 640-700,0.99969816,3.8 +4,4,6038,4,2,7,1,43,3.8,-0.3,67,Y,-0.33,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +3,2,6046,4,2,7,4,46,3.8,-0.47,70,Y,-1,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +8,8,6049,8,1,7,1,38,3.8,0.73,69,Y,0.83,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +5,6,6053,5,1,7,1,43,3.8,0.03,69,Y,0.03,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +9,10,6056,9,1,7,3,38,3.8,0.9,69,Y,1.5,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +9,9,6070,9,2,7,1,42,3.8,1.29,69,Y,1.17,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +6,6,6105,6,2,7,1,32,3.8,0.13,69,Y,0.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.368406,g 700+,g 700-760,0.99969816,3.8 +3,5,6106,4,1,7,4,48,3.8,-0.5,67,Y,-0.17,F,7,F,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +4,1,6169,4,2,7,3,39,3.8,-0.32,52,Y,-1.32,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +6,5,6328,6,1,7,3,29,3.8,0.24,66,Y,-0.21,P,7,P,94,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.999987,f 640-700,f 640-700,0.99969816,3.8 +2,2,6338,2,1,7,1,41,3.8,-1.13,69,Y,-1.29,F,7,P,95,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +,,6340,,1,7,5,47,3.8,,69,Y,0,P,7,P,95,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +9,9,6356,9,1,7,5,44,3.8,1.08,67,Y,1.16,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +,,6364,,1,7,1,35,3.8,,68,Y,,F,7,F,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +6,10,6395,6,2,7,3,34,3.8,0.14,69,Y,1.41,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +7,8,6425,7,1,7,5,38,3.8,0.48,68,Y,0.77,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,822.105244,g 700+,i 820+,0.99969816,3.8 +3,2,6464,3,2,7,1,40,3.8,-0.68,67,Y,-1.12,F,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +6,6,6472,6,1,7,3,25,3.8,0.25,69,Y,0.22,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,616.842095,e 580-640,e 580-640,0.99969816,3.8 +7,5,6519,7,1,7,1,34,3.8,0.44,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +8,9,6529,8,2,7,3,34,3.8,0.81,56,Y,1.05,P,7,P,94,1,2,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +7,6,6532,7,1,7,2,27.5,3.8,0.46,60,Y,0.02,P,7,P,94,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,656.3157775,f 640-700,f 640-700,0.99969816,3.8 +9,9,6569,9,1,7,1,33,3.8,1.2,69,Y,1.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +4,5,6625,4,2,7,5,43,3.8,-0.22,66,Y,-0.05,P,2,P,96,1,2,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +10,10,6648,10,1,7,1,43,3.8,1.76,69,Y,1.63,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +3,4,6649,3,1,7,5,41,3.8,-0.64,67,Y,-0.5,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +2,2,6703,2,1,7,1,45,3.8,-1.13,69,Y,-0.99,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +9,8,6718,9,2,7,5,44,3.8,1.23,69,Y,0.59,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +10,10,6756,10,1,7,1,40,3.8,2.44,51,Y,2.43,P,7,P,94,1,4,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +9,1,6761,9,2,7,1,36,3.8,0.92,55,Y,-1.51,P,7,P,94,1,4,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +5,6,6797,5,1,7,5,45,3.8,0.02,68,Y,0.25,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +9,9,6836,10,1,7,3,32,3.8,1.26,67,Y,1.24,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +9,8,6904,9,1,7,1,40,3.8,1.21,69,Y,0.66,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +5,8,6926,6,1,7,1,35,3.8,0.09,59,Y,0.68,P,7,P,94,1,5,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +10,10,6942,10,2,7,3,40,3.8,2.47,69,Y,2.54,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +10,10,6950,10,2,7,3,37,3.8,1.85,62,Y,1.97,P,7,P,94,1,2,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +7,7,6984,7,1,7,3,39,3.8,0.31,66,Y,0.31,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +8,9,6994,8,2,7,3,37,3.8,0.6,58,Y,0.98,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,10,7001,10,2,7,1,44,3.8,1.9,67,Y,1.88,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +1,2,7044,2,1,7,4,35,3.8,-1.22,69,Y,-1.19,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,8,7052,8,1,7,4,37,3.8,0.62,68,Y,0.65,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +8,8,7117,8,2,7,1,39,3.8,0.77,69,Y,0.87,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +9,10,7121,9,2,7,5,39,3.8,1.23,69,Y,1.79,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +9,9,7136,9,1,7,1,43,3.8,1.01,66,Y,1.03,P,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +,,7178,3,1,7,5,40,3.8,-0.63,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +10,5,7201,10,1,7,5,41,3.8,1.73,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +7,8,7222,7,2,7,4,32,3.8,0.37,68,Y,0.76,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.368406,g 700+,g 700-760,0.99969816,3.8 +6,5,7232,6,2,7,4,42,3.8,0.25,69,Y,-0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +6,8,7266,6,2,7,2,25.5,3.8,0.17,67,Y,0.64,F,2,F,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,624.7368315,e 580-640,e 580-640,0.99969816,3.8 +4,4,7296,5,1,7,5,48,3.8,-0.18,69,Y,-0.29,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +8,10,7316,8,2,7,3,29,3.8,0.82,69,Y,1.47,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.999987,f 640-700,f 640-700,0.99969816,3.8 +1,2,7334,2,2,7,1,35.5,3.8,-1.14,69,Y,-1.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.6315615,g 700+,h 760-820,0.99969816,3.8 +6,8,7335,6,1,7,4,38,3.8,0.11,70,Y,0.81,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +7,9,7339,8,1,7,4,35,3.8,0.56,69,Y,1.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,9,7350,8,2,4,4,45,3.8,0.83,68,Y,1.24,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +6,7,7396,6,1,7,1,33,3.8,0.27,70,Y,0.35,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +5,7,7426,6,2,7,1,38,3.8,0.07,69,Y,0.51,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +,,7431,,1,2,5,44,3.8,,67,Y,0,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +6,6,7449,6,2,7,5,45,3.8,0.11,67,Y,0.19,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +6,7,7462,6,1,7,1,45,3.8,0.17,61,Y,0.34,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +4,4,7482,4,1,7,3,32,3.8,-0.39,51,Y,-0.55,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +2,2,7506,2,2,4,3,28,3.8,-0.93,68,Y,-1.02,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.210514,f 640-700,f 640-700,0.99969816,3.8 +8,9,7507,8,2,7,3,40,3.8,0.64,69,Y,1.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +8,8,7532,8,1,7,3,34,3.8,0.68,69,Y,0.61,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +9,8,7540,9,1,7,3,33,3.8,1.2,68,Y,0.63,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +9,7,7582,9,1,7,4,42,3.8,1.07,69,Y,0.36,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +2,4,7597,2,2,7,3,42,3.8,-0.86,69,Y,-0.3,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,7604,10,1,7,1,29,3.8,1.72,68,Y,1.41,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,679.999987,f 640-700,f 640-700,0.99969816,3.8 +8,6,7642,9,1,6,3,48,3.8,0.84,70,Y,0.01,F,7,P,95,1,4,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,979.999974,g 700+,i 820+,0.99969816,3.8 +7,7,7683,7,1,7,1,36,3.8,0.4,50,Y,0.5,P,7,P,94,1,2,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +10,10,7752,10,2,7,1,40,3.8,1.45,69,Y,1.6,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +9,10,7795,9,2,7,2,28,3.8,1.06,69,Y,1.53,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,664.210514,f 640-700,f 640-700,0.99969816,3.8 +8,8,7804,8,1,7,1,40,3.8,0.84,68,Y,0.69,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +4,8,7826,4,1,2,4,39.5,3.8,-0.39,67,Y,0.69,P,7,P,94,1,4,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,845.7894535,g 700+,i 820+,0.99969816,3.8 +,,7856,9,2,7,5,41,3.8,1.37,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +5,5,7889,5,1,7,4,37,3.8,-0.12,68,Y,-0.23,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +6,9,7904,6,2,7,1,39,3.8,0.13,67,Y,0.91,P,2,P,96,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +6,7,7905,6,2,7,4,43,3.8,0.14,59,Y,0.32,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +,,7932,,2,7,5,44,3.8,,66,Y,0,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +6,6,8029,7,1,7,3,34,3.8,0.28,69,Y,-0.02,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +,,8060,,1,2,5,37,3.8,,67,Y,,P,7,P,94,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,10,8065,10,1,7,1,35,3.8,1.37,68,Y,1.6,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +9,9,8070,9,2,7,1,37,3.8,1.25,66,Y,1.2,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +2,2,8077,2,2,7,4,46,3.8,-0.97,69,Y,-1.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +3,3,8113,3,1,7,4,44,3.8,-0.64,69,Y,-0.65,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +7,7,8144,7,2,7,4,39,3.8,0.41,69,Y,0.29,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +,,8149,,2,7,1,38,3.8,,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +5,4,8181,5,2,7,3,36.5,3.8,-0.17,69,Y,-0.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,798.4210345,g 700+,h 760-820,0.99969816,3.8 +6,8,8258,6,1,7,4,45,3.8,0.2,71,Y,0.57,P,7,P,94,1,5,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +10,10,8271,10,1,7,1,40,3.8,1.78,68,Y,1.61,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +6,8,8327,6,1,7,1,31,3.8,0.14,62,Y,0.77,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.578933,g 700+,g 700-760,0.99969816,3.8 +7,9,8330,7,2,7,4,43,3.8,0.34,69,Y,0.96,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +1,1,8354,1,2,2,1,33,3.8,-2.28,64,Y,-2.15,F,7,P,95,1,4,-57,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +10,9,8362,10,2,7,4,39,3.8,1.38,69,Y,1.17,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +5,4,8386,5,1,7,3,30,3.8,-0.08,68,Y,-0.47,F,2,F,95,1,5,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,695.78946,f 640-700,f 640-700,0.99969816,3.8 +3,3,8417,4,2,7,5,43,3.8,-0.51,62,Y,-0.79,F,7,F,95,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +6,7,8424,6,2,7,3,41,3.8,0.14,69,Y,0.38,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.473663,g 700+,i 820+,0.99969816,3.8 +9,9,8432,9,2,7,5,43,3.8,1.13,69,Y,1.16,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +5,7,8436,5,1,7,1,42,3.8,-0.08,67,Y,0.32,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +4,2,8455,4,2,2,4,38,3.8,-0.38,69,Y,-1.01,P,7,P,94,1,5,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +3,6,8492,3,2,7,1,40,3.8,-0.6,55,Y,0.02,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +8,8,8551,8,1,7,3,27.5,3.8,0.77,58,Y,0.86,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.3157775,f 640-700,f 640-700,0.99969816,3.8 +3,6,8582,3,2,7,4,45,3.8,-0.54,67,Y,0.13,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +10,10,8597,10,2,7,3,35,3.8,2,65,Y,1.45,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,8,8647,8,2,7,1,38,3.8,0.63,63,Y,0.6,P,7,P,94,2,3,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +8,6,8757,8,2,7,1,33,3.8,0.63,69,Y,0.03,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +,,8776,5,2,7,5,42,3.8,-0.09,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +9,9,8836,9,1,7,1,41,3.8,1.13,68,Y,1.05,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +5,6,8850,6,1,7,3,35,3.8,0.05,69,Y,0.1,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +2,2,8864,2,1,7,5,48,3.8,-1.07,68,Y,-1.06,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +2,5,8866,2,1,7,4,43,3.8,-1.1,69,Y,-0.2,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +5,7,8881,6,2,7,3,36,3.8,0.03,65,Y,0.46,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +3,4,8899,4,1,7,1,37,3.8,-0.48,69,Y,-0.38,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,4,8905,5,2,7,1,36,3.8,-0.03,66,Y,-0.53,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +10,10,8919,10,2,7,1,47,3.8,1.98,69,Y,1.65,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,964.210501,g 700+,i 820+,0.99969816,3.8 +2,2,8972,2,1,7,5,46,3.8,-0.88,69,Y,-0.98,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +6,5,8975,6,1,2,4,33,3.8,0.25,69,Y,0,P,7,P,94,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +5,7,8983,5,1,7,3,42,3.8,-0.02,58,Y,0.29,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,8990,10,1,7,4,36,3.8,1.54,67,Y,1.87,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,790.526298,g 700+,h 760-820,0.99969816,3.8 +,,9012,,2,7,3,31,3.8,,67,Y,,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.578933,g 700+,g 700-760,0.99969816,3.8 +10,10,9017,10,1,7,3,29.7,3.8,1.74,66,Y,1.46,P,7,P,95,2,3,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,691.0526181,f 640-700,f 640-700,0.99969816,3.8 +4,9,9026,4,2,7,3,36,3.8,-0.36,66,Y,0.88,P,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +7,5,9047,7,2,7,4,46,3.8,0.53,69,Y,-0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +4,4,9082,4,2,7,5,39,3.8,-0.31,68,Y,-0.32,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +10,9,9097,10,2,7,4,43,3.8,1.76,69,Y,1.26,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +10,10,9123,10,2,7,1,38,3.8,1.52,68,Y,1.35,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +5,5,9125,5,2,7,1,32,3.8,0.01,50,Y,-0.23,P,2,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.368406,g 700+,g 700-760,0.99969816,3.8 +5,7,9127,5,2,7,1,34,3.8,-0.06,67,Y,0.4,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +2,2,9179,2,2,2,4,41,3.8,-0.84,69,Y,-0.86,F,7,P,95,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +,,9251,,1,,1,37,3.8,0.37,69,Y,-0.06,P,7,P,94,1,2,-62,female,0,0,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,6,9281,5,1,7,2,27,3.8,-0.03,69,Y,0.04,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.421041,f 640-700,f 640-700,0.99969816,3.8 +7,9,9321,7,2,7,2,29,3.8,0.28,63,Y,1.03,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,679.999987,f 640-700,f 640-700,0.99969816,3.8 +,,9323,,1,7,5,43,3.8,,68,Y,,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +7,7,9343,7,2,7,5,44,3.8,0.39,67,Y,0.31,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +9,9,9382,9,2,7,4,42,3.8,0.95,69,Y,1.29,P,2,P,96,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +8,8,9383,8,1,7,4,46,3.8,0.74,66,Y,0.66,F,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +3,3,9472,3,2,7,1,44,3.8,-0.55,68,Y,-0.63,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +3,5,9478,4,1,7,3,35,3.8,-0.45,69,Y,-0.26,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,9,9482,9,1,7,3,41,3.8,0.86,69,Y,1.16,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.473663,g 700+,i 820+,0.99969816,3.8 +6,6,9483,7,1,7,2,33.5,3.8,0.28,69,Y,-0.02,F,7,P,96,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,751.0526155,g 700+,g 700-760,0.99969816,3.8 +8,7,9493,8,1,7,4,38,3.8,0.57,68,Y,0.53,P,2,P,94,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +5,8,9504,6,2,7,3,42,3.8,0.05,60,Y,0.63,P,7,P,95,2,4,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,885.263136,g 700+,i 820+,0.99969816,3.8 +4,4,9533,4,2,8,1,39,3.8,-0.23,69,Y,-0.53,P,7,P,94,1,4,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +10,10,9575,10,1,7,4,39,3.8,1.64,64,Y,1.43,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +4,4,9602,4,1,7,4,34,3.8,-0.39,68,Y,-0.45,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,758.947352,g 700+,g 700-760,0.99969816,3.8 +9,9,9627,10,2,7,4,40,3.8,1.27,68,Y,1.11,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +6,7,9650,6,2,7,4,35,3.8,0.17,62,Y,0.29,P,2,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,6,9652,8,2,7,4,44,3.8,0.6,69,Y,0.12,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +9,9,9669,9,2,7,4,45,3.8,1.24,67,Y,1.24,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +6,7,9707,6,2,2,2,37,3.8,0.15,68,Y,0.46,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,7,9752,3,1,7,4,41,3.8,-0.69,69,Y,0.43,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +8,9,9796,8,1,7,1,41,3.8,0.67,69,Y,1.07,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +8,9,9802,9,1,7,3,37,3.8,0.84,55,Y,0.88,P,7,P,94,1,2,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +6,5,9808,6,2,7,1,37,3.8,0.19,66,Y,-0.23,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,9,9812,9,1,7,1,36,3.8,1.23,67,Y,1.02,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +9,9,9814,9,1,7,4,41,3.8,1.05,69,Y,1.26,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +6,8,9817,6,1,7,4,39,3.8,0.15,69,Y,0.77,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +,,9836,,2,7,5,45,3.8,,69,Y,0,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +6,6,9847,6,2,7,1,41,3.8,0.14,67,Y,0.14,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +7,8,9861,7,2,7,1,42,3.8,0.45,68,Y,0.8,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +4,4,9869,4,1,7,5,37,3.8,-0.31,68,Y,-0.48,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,5,9936,3,1,7,3,33,3.8,-0.55,70,Y,-0.11,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +,,9952,9,2,7,5,46,3.8,1.43,64,Y,,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +,,9971,5,1,7,5,48,3.8,0,67,Y,,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +8,6,10016,8,2,7,3,36.5,3.8,0.6,69,Y,0.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,798.4210345,g 700+,h 760-820,0.99969816,3.8 +9,10,10034,9,1,7,3,33,3.8,1.06,53,Y,1.79,P,7,P,94,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +1,1,10070,1,2,7,1,41,3.8,-2.09,55,Y,-2.25,P,7,P,94,1,5,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +1,1,10072,1,1,7,3,33,3.8,-1.54,68,Y,-1.42,F,2,F,95,2,3,-66,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +7,6,10083,8,2,7,4,44,3.8,0.55,69,Y,0.2,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +8,8,10085,8,1,7,4,37,3.8,0.69,69,Y,0.81,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +6,9,10086,6,1,7,3,26.5,3.8,0.24,53,Y,0.97,P,7,P,95,2,2,-46,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.5263045,f 640-700,f 640-700,0.99969816,3.8 +9,9,10100,9,2,7,5,40,3.8,1.08,68,Y,0.84,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +7,8,10125,7,2,7,5,40,3.8,0.48,69,Y,0.71,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +4,3,10136,5,2,7,1,31,3.8,-0.17,68,Y,-0.77,F,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,711.578933,g 700+,g 700-760,0.99969816,3.8 +9,8,10138,9,1,7,1,42,3.8,1.01,66,Y,0.82,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +,,10176,3,1,6,5,39,3.8,-0.63,69,Y,,P,2,P,95,1,,-67,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +4,9,10187,4,1,7,4,41,3.8,-0.25,70,Y,1.24,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +10,8,10202,10,2,7,4,42,3.8,1.6,68,Y,0.75,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +3,2,10287,3,2,7,1,42,3.8,-0.69,69,Y,-1.24,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,10292,10,1,7,3,40,3.8,1.71,62,Y,1.77,P,7,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +7,7,10296,7,2,7,5,41,3.8,0.6,68,Y,0.39,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,10311,10,1,7,1,41,3.8,1.33,57,Y,1.64,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +5,7,10366,5,1,7,4,42,3.8,-0.05,65,Y,0.46,P,7,P,94,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +,,10367,,2,7,4,38,3.8,,61,Y,,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +10,10,10372,10,1,7,6,38,3.8,1.56,63,Y,1.84,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,822.105244,g 700+,i 820+,0.99969816,3.8 +4,6,10386,4,1,7,1,37,3.8,-0.33,68,Y,0.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,10,10407,10,2,2,4,48,3.8,1.5,69,Y,1.9,P,7,P,95,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +1,1,10424,1,2,7,4,45,3.8,-1.31,65,Y,-1.34,F,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +9,9,10426,9,2,7,1,43,3.8,1.1,69,Y,0.99,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +3,2,10435,3,2,2,5,41,3.8,-0.52,69,Y,-0.94,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +,,10448,,1,7,3,43,3.8,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,901.052609,g 700+,i 820+,0.99969816,3.8 +10,9,10458,10,1,7,5,41,3.8,1.55,65,Y,1.06,P,7,P,94,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +8,10,10480,8,1,7,1,38.5,3.8,0.64,69,Y,1.34,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.9999805,g 700+,i 820+,0.99969816,3.8 +10,10,10596,10,1,7,1,45,3.8,1.98,71,Y,2.52,P,7,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +6,6,10613,6,2,6,4,40,3.8,0.1,65,Y,0.07,P,7,P,94,1,,-58,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +3,5,10635,3,1,7,1,34,3.8,-0.6,66,Y,-0.06,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +8,7,10642,8,1,7,1,42,3.8,0.62,68,Y,0.29,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +6,8,10706,7,1,7,1,40,3.8,0.3,69,Y,0.61,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +3,3,10720,3,1,7,4,34.5,3.8,-0.65,60,Y,-0.83,P,7,P,94,1,3,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,766.8420885,g 700+,h 760-820,0.99969816,3.8 +7,9,10734,7,2,7,3,36,3.8,0.44,67,Y,0.91,P,2,P,95,2,3,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +10,10,10765,10,2,7,4,37,3.8,1.33,65,Y,1.62,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +6,6,10782,6,1,7,1,34,3.8,0.17,69,Y,0.03,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +2,1,10809,2,1,3,1,30,3.8,-0.96,69,Y,-1.52,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,695.78946,f 640-700,f 640-700,0.99969816,3.8 +6,6,10822,6,1,7,4,46,3.8,0.06,68,Y,0.13,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +3,4,10900,3,2,7,1,35,3.8,-0.65,62,Y,-0.32,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,9,10903,9,2,7,3,42,3.8,0.87,67,Y,1.3,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,885.263136,g 700+,i 820+,0.99969816,3.8 +2,1,10987,2,2,7,1,34,3.8,-0.85,68,Y,-1.39,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +10,10,10996,10,2,7,1,45,3.8,1.71,67,Y,1.86,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +10,9,11067,10,1,7,3,43,3.8,1.51,69,Y,1.22,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,901.052609,g 700+,i 820+,0.99969816,3.8 +7,10,11095,7,1,7,1,33,3.8,0.56,55,Y,1.35,P,7,P,95,1,2,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +9,10,11100,9,2,7,4,44,3.8,1.21,69,Y,1.72,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +8,8,11118,8,1,7,4,43,3.8,0.85,68,Y,0.65,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +6,5,11164,6,1,7,1,37,3.8,0.26,69,Y,-0.08,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +1,1,11216,1,1,4,4,33,3.8,-1.7,70,Y,-1.85,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +7,9,11251,7,1,7,3,37,3.8,0.4,69,Y,1.29,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,11278,8,1,7,5,42,3.8,0.86,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +8,7,11323,8,1,7,1,37.5,3.8,0.77,69,Y,0.55,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,814.2105075,g 700+,h 760-820,0.99969816,3.8 +9,7,11373,9,2,7,4,38,3.8,0.9,70,Y,0.28,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +10,10,11386,10,1,7,3,35,3.8,2.06,66,Y,1.82,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +6,3,11387,6,2,2,4,41,3.8,0.07,70,Y,-0.6,P,7,P,94,1,4,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +9,8,11394,9,2,7,1,42,3.8,0.91,64,Y,0.7,P,1,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +3,7,11458,4,1,7,1,37,3.8,-0.48,53,Y,0.49,P,7,P,94,1,2,-46,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +7,9,11466,7,2,7,5,42,3.8,0.51,66,Y,1.12,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +,,11538,10,1,7,5,47,3.8,2.08,66,Y,,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +4,5,11544,4,2,7,4,35,3.8,-0.32,69,Y,-0.06,P,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +4,3,11546,4,1,7,5,43,3.8,-0.26,70,Y,-0.54,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +7,8,11547,8,2,7,1,38,3.8,0.59,64,Y,0.85,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +5,5,11573,6,2,7,2,37,3.8,0.01,59,Y,-0.07,P,7,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,5,11582,5,2,7,1,32,3.8,-0.14,69,Y,-0.01,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.368406,g 700+,g 700-760,0.99969816,3.8 +4,4,11609,4,2,7,1,39,3.8,-0.38,69,Y,-0.47,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +4,8,11612,5,1,7,1,36,3.8,-0.19,70,Y,0.72,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +6,7,11620,7,1,7,4,38,3.8,0.26,69,Y,0.48,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +10,10,11665,10,2,7,4,48,3.8,1.76,67,Y,1.94,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +4,2,11666,4,2,7,4,40,3.8,-0.38,70,Y,-0.86,P,7,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +3,4,11670,3,1,7,5,37,3.8,-0.77,69,Y,-0.38,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,11678,,1,7,1,35,3.8,,46,Y,,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +1,1,11704,1,1,7,1,39,3.8,-2.14,56,Y,-1.89,F,7,F,94,1,4,-49,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +9,9,11706,9,2,7,1,36,3.8,0.94,69,Y,1.12,P,7,P,95,2,3,-62,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +9,9,11712,10,1,7,3,35,3.8,1.26,68,Y,1.16,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +6,8,11720,6,2,2,5,44,3.8,0.24,68,Y,0.59,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +8,6,11747,8,1,7,1,44,3.8,0.64,68,Y,0.18,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +8,10,11769,9,2,7,3,37,3.8,0.86,68,Y,1.6,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,11781,8,1,2,5,48,3.8,0.67,69,Y,,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +6,6,11793,6,1,6,4,35,3.8,0.12,70,Y,0.23,P,7,P,94,1,3,-63,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +3,2,11816,4,1,7,4,41,3.8,-0.47,69,Y,-0.93,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +2,5,11847,3,2,7,5,48,3.8,-0.84,69,Y,-0.06,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +6,6,11880,6,1,7,5,41,3.8,0.12,66,Y,0.04,P,2,P,94,1,4,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,11899,10,1,7,1,41,3.8,1.44,67,Y,1.36,P,7,P,94,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +,,11948,,1,7,1,40,3.8,,58,Y,,P,7,P,94,1,2,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +5,6,11960,5,1,7,5,44,3.8,-0.01,69,Y,0.18,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +4,5,11981,4,2,7,1,42,3.8,-0.25,69,Y,-0.21,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +2,3,11987,3,1,7,5,43,3.8,-0.84,63,Y,-0.59,P,2,P,95,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +10,10,11999,10,2,7,1,36,3.8,2.12,59,Y,2.84,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +10,9,12035,10,1,7,5,42,3.8,1.59,66,Y,1.15,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +3,5,12049,3,2,2,4,35,3.8,-0.7,59,Y,-0.21,P,7,P,94,1,3,-52,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,12120,,2,7,5,47,3.8,,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +10,10,12136,10,2,7,5,35,3.8,1.55,66,Y,2,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,774.736825,g 700+,h 760-820,0.99969816,3.8 +6,6,12156,6,2,7,1,33,3.8,0.2,69,Y,0.03,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +7,7,12158,7,1,7,4,42,3.8,0.49,70,Y,0.5,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +7,7,12163,7,2,7,5,47,3.8,0.6,68,Y,0.48,P,7,P,95,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +5,5,12171,5,1,7,4,45,3.8,-0.15,70,Y,0.01,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +9,10,12172,9,2,7,1,35,3.8,1.24,69,Y,1.52,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +10,10,12178,10,2,7,1,35,3.8,1.79,68,Y,2.34,P,7,P,94,1,1,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +9,10,12184,9,1,7,3,37,3.8,1.08,68,Y,1.95,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,9,12185,10,2,7,4,48,3.8,1.36,69,Y,1.07,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +7,7,12194,7,1,7,5,43,3.8,0.61,68,Y,0.49,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +10,10,12224,10,2,7,3,39,3.8,2.07,64,Y,1.61,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +10,9,12227,10,2,7,3,33,3.8,1.81,69,Y,1.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +5,4,12268,5,1,7,3,32,3.8,-0.14,68,Y,-0.32,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +5,5,12278,5,1,7,1,34,3.8,-0.01,69,Y,-0.21,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +10,9,12281,10,1,7,3,35,3.8,1.79,69,Y,1.04,P,7,P,95,2,3,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +4,5,12294,4,1,7,1,32,3.8,-0.32,47,Y,-0.21,P,2,P,95,2,3,-45,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.368406,g 700+,g 700-760,0.99969816,3.8 +,,12343,2,1,2,5,37,3.8,-0.92,68,Y,,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,7,12353,5,2,7,4,37,3.8,-0.02,68,Y,0.27,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,5,12381,3,1,7,4,43.5,3.8,-0.69,68,Y,-0.17,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.9473455,g 700+,i 820+,0.99969816,3.8 +7,9,12396,8,2,7,1,38,3.8,0.6,68,Y,0.97,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +6,6,12409,6,1,7,4,42,3.8,0.16,68,Y,0.23,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +9,8,12422,9,1,7,3,37,3.8,0.99,69,Y,0.68,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,12432,,2,7,3,39,3.8,,57,Y,,P,2,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +4,3,12434,5,2,7,5,42,3.8,-0.19,67,Y,-0.51,F,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +,,12441,,2,7,3,35,3.8,,66,Y,,P,7,P,95,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +9,9,12478,9,1,7,3,38,3.8,1.19,69,Y,0.89,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +9,8,12493,9,2,7,4,38,3.8,0.93,66,Y,0.71,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +7,6,12506,7,1,7,4,41,3.8,0.38,68,Y,0.11,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +2,1,12511,2,1,7,1,39,3.8,-1.09,67,Y,-1.51,F,7,P,96,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +6,6,12579,6,1,7,2,32,3.8,0.05,68,Y,0.02,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,727.368406,g 700+,g 700-760,0.99969816,3.8 +6,4,12605,6,2,7,1,34,3.8,0.21,68,Y,-0.31,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +6,6,12682,6,1,7,5,37,3.8,0.32,69,Y,0.24,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,806.315771,g 700+,h 760-820,0.99969816,3.8 +4,6,12691,5,1,7,4,41,3.8,-0.22,69,Y,0.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +9,7,12718,9,2,7,1,43,3.8,1.14,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +3,4,12787,3,2,7,5,45,3.8,-0.69,69,Y,-0.41,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +10,9,12794,10,1,7,4,42,3.8,1.29,69,Y,0.87,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +3,7,12858,4,1,7,1,34,3.8,-0.51,69,Y,0.5,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +3,2,12891,3,1,2,4,37,3.8,-0.6,68,Y,-1.07,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +7,10,12953,7,2,7,1,41,3.8,0.4,68,Y,1.31,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +4,6,12971,4,2,7,1,33,3.8,-0.36,63,Y,0.03,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +7,5,12975,7,1,7,5,44,3.8,0.39,69,Y,-0.02,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +9,10,12978,10,2,7,1,48,3.8,1.3,70,Y,1.3,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,979.999974,g 700+,i 820+,0.99969816,3.8 +3,4,13018,3,1,7,5,42,3.8,-0.82,69,Y,-0.45,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +,,13024,,1,7,5,39,3.8,,68,Y,0,F,2,P,96,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +5,8,13028,5,2,7,4,41,3.8,-0.04,69,Y,0.58,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +2,2,13064,2,2,2,4,43,3.8,-1.08,65,Y,-0.98,P,7,P,95,1,4,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +8,9,13078,8,2,7,3,37,3.8,0.72,69,Y,1.12,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +8,7,13122,8,2,7,4,44,3.8,0.74,69,Y,0.52,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +3,1,13126,3,2,7,4,48,3.8,-0.61,69,Y,-1.4,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +,,13174,5,2,7,5,41,3.8,-0.03,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +7,7,13175,7,1,7,5,43,3.8,0.44,64,Y,0.44,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +7,9,13214,7,2,7,1,40,3.8,0.54,69,Y,0.89,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +8,7,13236,7,2,7,5,40,3.8,0.62,69,Y,0.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +2,3,13338,3,1,7,1,32.5,3.8,-0.8,69,Y,-0.56,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,735.2631425,g 700+,g 700-760,0.99969816,3.8 +,,13408,,2,7,5,39,3.8,,69,Y,,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +10,9,13409,10,2,7,3,39,3.8,1.32,67,Y,0.92,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +8,8,13477,8,2,7,4,42,3.8,0.66,69,Y,0.61,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,13495,10,1,7,1,42,3.8,1.31,60,Y,1.52,P,7,P,95,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +2,4,13503,3,2,7,5,42,3.8,-0.85,69,Y,-0.37,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,13519,10,2,7,5,46,3.8,2.21,69,Y,2.28,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +8,10,13546,9,1,7,1,40,3.8,0.89,59,Y,1.79,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +1,2,13547,1,1,6,2,32,3.8,-1.57,68,Y,-1,F,7,P,95,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,727.368406,g 700+,g 700-760,0.99969816,3.8 +10,10,13553,10,2,7,3,38,3.8,1.4,61,Y,1.73,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +5,6,13587,5,1,7,5,41,3.8,0.04,68,Y,0.25,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +6,7,13601,6,1,7,1,34.5,3.8,0.14,,Y,0.4,P,2,P,95,1,,,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.8420885,g 700+,h 760-820,0.99969816,3.8 +4,3,13645,4,1,7,4,33,3.8,-0.32,69,Y,-0.76,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +,,13689,,1,7,1,44,3.8,,63,Y,,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +6,7,13712,6,2,7,4,37,3.8,0.19,69,Y,0.35,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,5,13799,5,1,7,3,38,3.8,-0.11,69,Y,-0.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +9,10,13857,9,2,7,3,41,3.8,1.19,68,Y,1.45,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,13873,10,1,7,3,37,3.8,1.31,70,Y,1.49,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,3,13902,3,2,7,4,38,3.8,-0.52,69,Y,-0.6,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +6,6,13906,6,1,7,3,38,3.8,0.21,59,Y,0.13,P,7,P,94,1,2,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +4,5,13911,5,1,7,3,37,3.8,-0.19,68,Y,-0.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,4,13926,5,1,7,1,39,3.8,0.02,69,Y,-0.31,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +4,6,13929,4,1,7,4,39,3.8,-0.37,57,Y,0.07,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +8,10,13939,8,1,7,3,39,3.8,0.7,47,Y,2.2,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +4,3,13973,4,1,7,5,42,3.8,-0.22,65,Y,-0.69,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +6,8,14082,6,1,7,1,41,3.8,0.14,69,Y,0.62,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +3,6,14119,3,1,7,1,31,3.8,-0.68,70,Y,0.11,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.578933,g 700+,g 700-760,0.99969816,3.8 +9,7,14158,9,1,7,1,45,3.8,1.09,67,Y,0.42,P,2,P,95,1,4,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +9,10,14170,9,1,7,1,35,3.8,1.01,68,Y,1.7,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,7,14172,8,2,7,3,36,3.8,0.7,68,Y,0.53,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +5,5,14181,5,1,7,3,38,3.8,-0.08,68,Y,-0.23,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +6,8,14257,6,1,7,3,32,3.8,0.17,69,Y,0.8,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +2,4,14269,2,1,7,1,40,3.8,-0.98,70,Y,-0.46,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +6,6,14406,6,1,7,3,35,3.8,0.13,69,Y,0.1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +6,4,14407,6,2,2,5,42,3.8,0.15,68,Y,-0.35,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +10,9,14416,10,1,7,1,46,3.8,1.83,69,Y,1.2,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,948.421028,g 700+,i 820+,0.99969816,3.8 +3,4,14440,3,1,7,4,41,3.8,-0.51,49,Y,-0.39,P,7,P,94,1,1,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +2,2,14537,2,2,7,4,44,3.8,-0.96,68,Y,-0.93,F,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +8,9,14601,8,2,7,3,33,3.8,0.78,64,Y,1.08,P,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +5,3,14682,5,2,7,4,44,3.8,-0.1,69,Y,-0.53,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +10,10,14694,10,2,7,1,37,3.8,2.61,54,Y,2.76,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +6,5,14820,6,1,7,2,25,3.8,0.19,43,Y,-0.2,P,2,P,95,2,3,-41,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,616.842095,e 580-640,e 580-640,0.99969816,3.8 +9,9,14821,9,1,7,3,39,3.8,0.95,69,Y,1.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +7,8,14850,7,2,8,3,26.5,3.8,0.35,69,Y,0.58,P,7,P,95,1,1,-62,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,640.5263045,f 640-700,f 640-700,0.99969816,3.8 +,,14860,,2,7,5,47,3.8,,62,Y,0,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +10,10,14915,10,1,7,1,40,3.8,1.96,69,Y,2.13,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +5,4,14999,5,2,7,1,37,3.8,-0.03,70,Y,-0.26,P,2,P,94,1,5,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,10,15007,10,2,7,4,39,3.8,1.92,63,Y,2.06,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +1,1,15008,1,2,7,1,39,3.8,-1.32,68,Y,-2,F,2,F,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +8,6,15016,8,1,7,1,34,3.8,0.63,68,Y,0.23,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +3,2,15025,3,2,6,1,29,3.8,-0.62,66,Y,-1.23,P,7,P,94,1,2,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,679.999987,f 640-700,f 640-700,0.99969816,3.8 +7,10,15032,7,1,7,1,42,3.8,0.57,48,Y,1.31,P,7,P,94,1,4,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +9,9,15055,9,1,7,4,39,3.8,1.25,66,Y,1.24,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +4,5,15097,4,2,7,1,45,3.8,-0.4,69,Y,-0.12,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +3,2,15099,4,1,7,1,36,3.8,-0.45,69,Y,-1.09,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +10,10,15101,10,1,7,1,41,3.8,1.81,69,Y,1.59,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +2,3,15125,3,2,7,4,40,3.8,-0.78,69,Y,-0.68,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +4,4,15128,4,2,7,5,47,3.8,-0.3,68,Y,-0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +4,5,15244,4,1,7,4,43,3.8,-0.33,66,Y,-0.05,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +10,8,15287,10,2,7,5,43,3.8,1.54,68,Y,0.79,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +5,6,15340,6,1,7,1,40,3.8,0.07,66,Y,0.28,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +6,6,15342,6,2,7,3,39,3.8,0.17,69,Y,0.23,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +2,2,15360,3,1,7,4,31,3.8,-0.75,69,Y,-0.87,F,7,F,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,711.578933,g 700+,g 700-760,0.99969816,3.8 +10,10,15496,10,1,7,3,40,3.8,1.4,69,Y,1.9,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +4,5,15533,4,1,7,4,48,3.8,-0.26,69,Y,-0.16,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +8,7,15560,8,2,7,4,44,3.8,0.64,69,Y,0.32,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +8,10,15565,8,1,7,1,42,3.8,0.82,69,Y,1.32,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,15592,10,1,7,1,37,3.8,1.8,69,Y,1.75,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,8,15604,5,2,7,5,37,3.8,-0.11,68,Y,0.63,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,3,15626,3,1,2,5,37,3.8,-0.73,70,Y,-0.75,P,7,P,94,1,3,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,15655,,1,7,1,41,3.8,,65,Y,,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +8,7,15686,8,1,7,1,39,3.8,0.65,68,Y,0.31,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +6,6,15694,6,1,7,3,37,3.8,0.13,66,Y,0.17,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,10,15765,10,1,7,3,40,3.8,2.25,69,Y,2.36,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +8,7,15768,8,2,7,1,40,3.8,0.78,68,Y,0.48,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +10,9,15794,10,1,7,1,37,3.8,1.41,51,Y,1.17,P,7,P,95,2,2,-44,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +4,4,15798,5,2,7,1,34,3.8,-0.18,55,Y,-0.3,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +3,5,15819,4,2,7,1,36,3.8,-0.44,66,Y,-0.03,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +6,7,15821,6,1,7,1,34,3.8,0.11,67,Y,0.31,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +10,9,15839,10,2,7,1,42,3.8,1.44,68,Y,1.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,15882,10,2,7,2,40,3.8,1.73,70,Y,1.63,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,853.68419,g 700+,i 820+,0.99969816,3.8 +4,6,15889,4,2,7,3,45,3.8,-0.29,60,Y,0.08,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,932.631555,g 700+,i 820+,0.99969816,3.8 +,,15895,3,1,7,5,48,3.8,-0.85,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +3,5,15918,3,2,7,3,36,3.8,-0.64,66,Y,-0.24,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +10,9,16002,10,1,7,1,33,3.8,1.5,70,Y,1.09,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +10,9,16008,10,1,7,5,42,3.8,1.56,54,Y,0.94,P,7,P,94,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +4,4,16024,4,2,7,4,39,3.8,-0.27,69,Y,-0.42,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +8,10,16042,9,1,7,3,37,3.8,0.85,61,Y,1.54,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,2,16085,3,2,7,1,35,3.8,-0.55,68,Y,-1.06,F,2,F,96,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +9,8,16094,9,1,7,1,37,3.8,0.93,69,Y,0.85,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +8,7,16131,8,1,7,1,40,3.8,0.75,68,Y,0.41,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +1,2,16198,2,2,7,3,36,3.8,-1.23,69,Y,-1.04,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +1,1,16224,1,1,8,3,22,3.8,-1.31,64,Y,-2.39,F,2,F,96,1,2,-62,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,569.473676,d 520-580,d 520-580,0.99969816,3.8 +3,5,16234,3,1,2,5,46,3.8,-0.73,71,Y,-0.15,P,7,P,94,1,2,-64,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +10,10,16245,10,2,7,1,32,3.8,1.62,68,Y,2.04,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,727.368406,g 700+,g 700-760,0.99969816,3.8 +7,7,16254,7,2,7,2,30,3.8,0.49,69,Y,0.4,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,695.78946,f 640-700,f 640-700,0.99969816,3.8 +6,7,16320,7,2,7,1,43,3.8,0.31,69,Y,0.55,P,2,P,96,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +3,4,16328,3,2,7,1,30,3.8,-0.65,68,Y,-0.47,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,695.78946,f 640-700,f 640-700,0.99969816,3.8 +9,9,16435,9,1,7,4,39,3.8,0.97,67,Y,1.15,P,7,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +8,10,16450,8,1,7,1,43,3.8,0.67,58,Y,1.41,P,2,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +5,6,16466,5,2,7,5,43,3.8,-0.08,69,Y,0.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +3,4,16468,3,2,8,4,33,3.8,-0.62,70,Y,-0.41,P,7,P,94,1,3,-63,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +5,8,16481,5,1,7,1,35,3.8,-0.06,28,Y,0.57,P,7,P,94,1,3,-21,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,16509,,2,7,5,48,3.8,,65,Y,0,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +2,4,16523,2,2,7,3,28.5,3.8,-0.86,69,Y,-0.47,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.1052505,f 640-700,f 640-700,0.99969816,3.8 +,,16550,6,1,7,5,40,3.8,0.3,69,Y,,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +,,16588,,2,7,3,39,3.8,,66,Y,,F,2,F,95,2,3,-64,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +10,10,16592,10,1,7,3,42,3.8,1.62,68,Y,1.76,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,885.263136,g 700+,i 820+,0.99969816,3.8 +5,3,16602,5,2,4,3,34,3.8,-0.06,69,Y,-0.58,P,7,P,93,1,2,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +9,9,16620,9,2,7,5,46,3.8,1.02,67,Y,0.88,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +9,10,16622,9,1,7,3,37,3.8,1.19,55,Y,1.61,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +7,5,16676,7,2,7,5,42,3.8,0.48,68,Y,0.01,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +6,5,16720,6,2,7,1,40,3.8,0.29,69,Y,-0.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +10,9,16729,10,2,7,1,37,3.8,1.4,70,Y,0.96,P,7,P,94,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,16730,,1,7,5,46,3.8,,69,Y,0,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +4,1,16753,4,2,7,3,39,3.8,-0.33,63,Y,-1.32,F,7,F,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +9,10,16772,9,1,7,1,40,3.8,1.08,57,Y,1.53,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +8,7,16801,8,2,7,2,42,3.8,0.7,70,Y,0.44,P,2,P,95,1,4,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,885.263136,g 700+,i 820+,0.99969816,3.8 +7,8,16825,7,1,7,1,38,3.8,0.54,69,Y,0.68,P,6,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +,,16860,4,1,7,3,33.5,3.8,-0.51,67,Y,,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,751.0526155,g 700+,g 700-760,0.99969816,3.8 +9,10,16913,9,2,7,4,42,3.8,0.94,68,Y,1.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +5,7,16948,5,2,7,5,41,3.8,-0.04,68,Y,0.39,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +5,4,16992,6,1,7,1,40,3.8,0.09,69,Y,-0.26,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +1,1,16998,1,1,7,5,45,3.8,-2.08,68,Y,-1.92,P,7,P,94,1,1,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +3,3,17025,3,1,7,1,39,3.8,-0.72,68,Y,-0.84,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +7,8,17040,7,2,7,5,41,3.8,0.51,68,Y,0.59,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +2,2,17084,2,2,7,4,44,3.8,-0.99,64,Y,-0.86,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +8,9,17250,8,2,7,5,40,3.8,0.85,67,Y,1.06,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +6,7,17263,7,1,7,5,43,3.8,0.35,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +5,5,17313,5,2,7,1,39,3.8,-0.11,61,Y,-0.11,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +6,6,17362,6,2,7,1,39,3.8,0.15,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +10,9,17368,10,2,7,1,41,3.8,1.43,69,Y,1.17,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,17389,10,2,7,3,38,3.8,1.98,68,Y,1.62,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +5,4,17419,5,1,7,1,41,3.8,-0.11,69,Y,-0.46,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +5,7,17477,5,1,7,1,34.5,3.8,-0.09,59,Y,0.41,P,7,P,94,2,3,-52,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.8420885,g 700+,h 760-820,0.99969816,3.8 +5,4,17513,5,2,7,1,30,3.8,-0.08,69,Y,-0.34,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,695.78946,f 640-700,f 640-700,0.99969816,3.8 +9,9,17545,9,1,7,5,42,3.8,1.08,69,Y,0.94,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +7,9,17566,7,1,7,1,41,3.8,0.47,68,Y,0.89,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +9,9,17569,9,1,7,4,35,3.8,1.12,69,Y,1.04,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +10,10,17622,10,2,7,5,46,3.8,1.55,64,Y,1.39,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +10,10,17623,10,2,7,1,38,3.8,1.6,69,Y,1.36,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +6,6,17643,6,2,7,1,35,3.8,0.19,59,Y,0.26,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +4,4,17664,4,2,7,5,41,3.8,-0.28,70,Y,-0.25,P,7,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,17667,10,1,7,3,32,3.8,1.31,64,Y,1.37,P,2,P,95,2,3,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +10,9,17671,10,1,7,2,34,3.8,1.36,61,Y,1.03,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,758.947352,g 700+,g 700-760,0.99969816,3.8 +9,8,17709,10,1,7,1,39,3.8,1.3,68,Y,0.72,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +4,6,17734,4,2,7,4,46,3.8,-0.36,68,Y,0.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +4,1,17740,5,1,7,1,42,3.8,-0.16,68,Y,-2.09,P,2,P,95,1,1,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +3,5,17779,3,2,2,4,42,3.8,-0.52,70,Y,-0.13,P,7,P,94,1,,-63,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,17784,10,1,7,3,36,3.8,2.33,69,Y,1.88,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +4,4,17802,4,2,4,5,48,3.8,-0.32,68,Y,-0.4,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +10,10,17851,10,1,7,1,35,3.8,1.9,69,Y,1.88,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +2,2,17877,3,2,7,3,36,3.8,-0.77,68,Y,-0.93,P,7,P,94,1,,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +1,1,17895,1,1,3,1,30,3.8,-1.96,69,Y,-1.67,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,695.78946,f 640-700,f 640-700,0.99969816,3.8 +9,9,17915,9,2,7,1,41,3.8,1.17,69,Y,1.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +7,5,17916,7,1,7,1,44,3.8,0.48,69,Y,-0.12,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +3,3,17938,3,2,7,1,35,3.8,-0.61,66,Y,-0.73,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +9,8,17957,9,2,7,1,45,3.8,1.01,67,Y,0.57,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +9,10,17963,9,1,7,4,42,3.8,1.14,68,Y,1.41,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +6,6,17977,6,1,7,5,42,3.8,0.19,69,Y,0.09,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +9,8,18084,9,2,7,5,44,3.8,1.16,67,Y,0.75,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +,,18090,,2,7,5,48,3.8,,69,Y,0,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +2,2,18133,2,1,7,4,40,3.8,-0.89,69,Y,-1.05,P,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +4,4,18134,4,2,7,1,39,3.8,-0.39,69,Y,-0.49,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +10,9,18152,10,1,7,1,41,3.8,1.32,69,Y,1.12,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,18159,10,1,7,3,41,3.8,1.57,69,Y,1.85,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.473663,g 700+,i 820+,0.99969816,3.8 +3,4,18177,4,1,7,1,37,3.8,-0.45,64,Y,-0.36,P,2,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +3,4,18227,3,2,7,5,45,3.8,-0.56,68,Y,-0.3,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +5,8,18248,5,2,7,4,42,3.8,-0.05,64,Y,0.63,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +8,7,18261,8,1,7,1,41,3.8,0.7,69,Y,0.49,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +3,2,18265,3,1,7,5,42,3.8,-0.56,69,Y,-1,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +9,10,18303,9,2,7,4,39,3.8,0.94,64,Y,1.3,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +4,5,18341,4,1,7,5,41,3.8,-0.24,70,Y,-0.2,P,2,P,95,1,4,-68,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +9,8,18386,9,1,7,4,44,3.8,1.03,66,Y,0.59,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +9,9,18395,10,1,7,6,37,3.8,1.31,52,Y,1.35,P,7,P,94,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,18399,6,1,7,5,48,3.8,0.17,69,Y,,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +6,8,18402,6,1,2,4,42,3.8,0.19,61,Y,0.6,P,7,P,94,1,2,-54,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +7,7,18441,7,2,7,5,42,3.8,0.45,70,Y,0.52,P,2,P,94,1,3,-68,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +,,18504,,2,7,1,35,3.8,,60,Y,-0.82,P,7,P,94,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +6,6,18514,6,1,7,4,42,3.8,0.11,68,Y,0.2,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,18515,10,2,7,3,46,3.8,1.44,69,Y,1.44,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,948.421028,g 700+,i 820+,0.99969816,3.8 +9,10,18521,9,2,7,4,43,3.8,0.89,69,Y,1.31,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,901.052609,g 700+,i 820+,0.99969816,3.8 +,,18544,,1,7,5,40,3.8,,69,Y,,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +8,9,18561,8,2,7,4,39,3.8,0.61,69,Y,1.05,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +1,1,18598,1,2,7,1,31,3.8,-1.9,69,Y,-2.2,F,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,711.578933,g 700+,g 700-760,0.99969816,3.8 +6,6,18675,6,2,7,4,34,3.8,0.16,65,Y,0.15,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,758.947352,g 700+,g 700-760,0.99969816,3.8 +6,5,18715,6,2,7,1,34,3.8,0.09,69,Y,-0.01,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +8,6,18727,8,2,7,4,40,3.8,0.57,68,Y,0.06,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +,,18732,,2,7,5,44,3.8,,60,Y,0,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +,,18756,,1,7,5,48,3.8,,69,Y,0,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +1,1,18758,1,1,7,4,46,3.8,-1.66,67,Y,-1.71,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +2,1,18763,2,1,7,4,42,3.8,-1.04,70,Y,-1.49,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +5,4,18801,5,1,7,2,27,3.8,-0.05,68,Y,-0.4,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,648.421041,f 640-700,f 640-700,0.99969816,3.8 +8,5,18811,8,2,1,3,34,3.8,0.78,63,Y,-0.03,P,2,P,95,2,1,-61,male,1,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +2,3,18815,2,2,7,3,41,3.8,-0.87,60,Y,-0.67,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,18874,10,2,7,3,39,3.8,2.39,55,Y,2.2,P,7,P,94,1,3,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +10,9,18917,10,2,7,4,48,3.8,1.37,67,Y,1.13,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +6,4,18921,6,2,7,4,42,3.8,0.19,69,Y,-0.38,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +8,8,18937,8,1,7,1,34.5,3.8,0.63,64,Y,0.58,P,7,P,95,2,3,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.8420885,g 700+,h 760-820,0.99969816,3.8 +1,1,18990,1,2,7,5,41,3.8,-1.36,63,Y,-1.48,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +6,8,19092,6,1,7,3,30,3.8,0.16,69,Y,0.63,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.78946,f 640-700,f 640-700,0.99969816,3.8 +7,7,19094,8,2,7,3,31,3.8,0.53,69,Y,0.31,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.578933,g 700+,g 700-760,0.99969816,3.8 +1,2,19099,1,2,7,4,32.5,3.8,-1.39,69,Y,-1.27,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,735.2631425,g 700+,g 700-760,0.99969816,3.8 +5,3,19132,5,2,7,1,46,3.8,0.03,59,Y,-0.7,P,7,P,94,1,2,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,948.421028,g 700+,i 820+,0.99969816,3.8 +10,9,19180,10,2,7,3,38,3.8,1.38,69,Y,1.17,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +2,2,19196,2,2,7,4,38,3.8,-1.06,68,Y,-1.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +5,7,19204,5,1,7,3,32,3.8,-0.08,67,Y,0.49,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +3,3,19253,3,2,2,1,39,3.8,-0.68,69,Y,-0.68,F,7,P,95,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +5,5,19254,5,2,7,3,46,3.8,-0.14,71,Y,-0.06,P,7,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,948.421028,g 700+,i 820+,0.99969816,3.8 +8,8,19258,8,2,7,4,43.5,3.8,0.7,65,Y,0.8,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,908.9473455,g 700+,i 820+,0.99969816,3.8 +9,9,19259,9,1,7,2,34,3.8,0.91,69,Y,1.27,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,758.947352,g 700+,g 700-760,0.99969816,3.8 +5,6,19353,5,2,7,1,29,3.8,-0.03,59,Y,0.26,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,679.999987,f 640-700,f 640-700,0.99969816,3.8 +,,19384,,2,7,4,37,3.8,,62,Y,,P,7,P,94,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,10,19388,9,1,7,3,43,3.8,1.11,70,Y,1.37,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,901.052609,g 700+,i 820+,0.99969816,3.8 +3,2,19432,3,2,7,3,36,3.8,-0.66,69,Y,-0.97,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +8,4,19441,8,2,7,5,43,3.8,0.7,67,Y,-0.35,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +10,10,19476,10,1,7,3,44,3.8,3.07,67,Y,2.98,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,916.842082,g 700+,i 820+,0.99969816,3.8 +4,5,19544,4,2,7,1,33,3.8,-0.31,66,Y,-0.24,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +10,8,19602,10,2,7,4,42,3.8,1.52,58,Y,0.62,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +5,4,19603,5,2,7,5,33.5,3.8,-0.12,68,Y,-0.39,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,751.0526155,g 700+,g 700-760,0.99969816,3.8 +1,5,19616,2,1,7,3,22,3.8,-1.21,55,Y,-0.13,F,2,F,95,2,2,-53,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,569.473676,d 520-580,d 520-580,0.99969816,3.8 +6,7,19721,6,2,7,1,45,3.8,0.2,70,Y,0.47,P,7,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +7,6,19740,7,1,7,4,39,3.8,0.4,70,Y,0.22,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +10,9,19743,10,1,7,3,30.5,3.8,1.32,69,Y,1.19,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.6841965,g 700+,g 700-760,0.99969816,3.8 +6,7,19762,6,2,7,4,45,3.8,0.08,68,Y,0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +3,4,19831,3,1,2,3,34.5,3.8,-0.67,69,Y,-0.44,P,7,P,94,1,4,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,766.8420885,g 700+,h 760-820,0.99969816,3.8 +7,9,19854,7,1,7,4,45,3.8,0.36,67,Y,0.96,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +2,3,19864,2,1,7,4,41,3.8,-0.91,65,Y,-0.54,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +9,9,19886,9,2,7,3,36,3.8,0.99,69,Y,1.09,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +3,6,19904,4,2,7,3,35,3.8,-0.51,68,Y,0.01,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +5,7,19911,6,1,7,3,37,3.8,0.05,69,Y,0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,10,19917,10,1,8,3,39,3.8,1.44,70,Y,1.61,P,7,P,94,1,3,-63,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +3,3,19945,3,2,7,5,46,3.8,-0.79,61,Y,-0.71,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +9,9,19948,9,2,7,1,46,3.8,1.2,60,Y,1.08,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,948.421028,g 700+,i 820+,0.99969816,3.8 +10,10,19962,10,2,7,1,42.5,3.8,1.55,67,Y,1.69,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,893.1578725,g 700+,i 820+,0.99969816,3.8 +7,9,19972,7,2,7,4,40.5,3.8,0.54,69,Y,0.87,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.5789265,g 700+,i 820+,0.99969816,3.8 +4,2,19988,5,1,7,1,39,3.8,-0.21,55,Y,-0.88,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +9,10,20065,9,1,7,1,43,3.8,1.15,69,Y,1.32,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +,,20112,,1,7,5,48,3.8,,67,Y,0,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +10,9,20130,10,1,7,3,33,3.8,1.52,57,Y,1.28,P,2,P,94,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +2,2,20138,2,1,7,4,38.5,3.8,-0.95,70,Y,-0.9,P,7,P,94,1,2,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.9999805,g 700+,i 820+,0.99969816,3.8 +7,7,20154,7,2,7,5,44,3.8,0.37,67,Y,0.3,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +5,5,20197,5,2,7,1,37,3.8,-0.05,56,Y,-0.08,P,7,P,94,1,2,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +7,8,20235,7,2,7,1,40,3.8,0.52,69,Y,0.81,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +3,1,20266,4,1,7,3,30,3.8,-0.52,58,Y,-1.8,P,2,P,94,1,,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.78946,f 640-700,f 640-700,0.99969816,3.8 +7,8,20279,8,1,6,4,33,3.8,0.56,64,Y,0.56,F,7,P,95,1,,-57,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +5,5,20314,5,2,7,4,33,3.8,-0.14,52,Y,-0.09,F,7,P,96,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,743.157879,g 700+,g 700-760,0.99969816,3.8 +3,2,20331,4,2,7,1,39,3.8,-0.46,69,Y,-0.92,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +10,10,20348,10,1,7,1,37,3.8,1.4,61,Y,1.86,P,2,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,20363,,1,7,5,35,3.8,,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,20397,8,2,2,5,42,3.8,0.66,69,Y,,P,7,P,94,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +2,2,20417,2,2,7,1,38,3.8,-1,61,Y,-0.9,P,7,P,94,1,1,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +2,2,20425,2,2,7,1,34,3.8,-0.87,66,Y,-0.95,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +3,4,20431,4,2,7,3,38,3.8,-0.51,67,Y,-0.29,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +,,20438,,2,7,,24.3,3.8,1.14,67,Y,1,P,7,P,94,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,605.7894639,e 580-640,e 580-640,0.99969816,3.8 +3,5,20446,3,1,7,1,37,3.8,-0.67,68,Y,-0.11,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,5,20452,5,1,7,1,33,3.8,-0.11,69,Y,-0.21,P,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +6,6,20488,6,1,7,5,36,3.8,0.14,70,Y,0.24,P,7,P,94,2,4,-63,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,790.526298,g 700+,h 760-820,0.99969816,3.8 +7,6,20491,7,1,7,5,42,3.8,0.61,55,Y,0.18,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,20633,10,2,7,4,47,3.8,2.08,58,Y,1.93,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,964.210501,g 700+,i 820+,0.99969816,3.8 +8,8,20672,8,2,7,5,41,3.8,0.7,69,Y,0.76,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +2,4,20680,2,2,7,3,36,3.8,-0.99,67,Y,-0.37,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +10,9,20733,10,1,7,1,46,3.8,1.33,68,Y,1.17,P,6,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,948.421028,g 700+,i 820+,0.99969816,3.8 +9,10,20737,9,2,7,3,38,3.8,1.26,69,Y,1.55,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +2,2,20786,2,2,7,1,40.5,3.8,-0.92,68,Y,-1.16,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,861.5789265,g 700+,i 820+,0.99969816,3.8 +7,6,20787,7,1,7,1,46,3.8,0.54,71,Y,0.25,P,7,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,948.421028,g 700+,i 820+,0.99969816,3.8 +8,8,20795,9,1,3,6,19,3.8,0.89,69,Y,0.51,P,7,P,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,522.105257,d 520-580,d 520-580,0.99969816,3.8 +5,7,20896,5,2,7,1,40,3.8,-0.05,68,Y,0.41,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +6,6,20936,7,2,7,1,36,3.8,0.31,67,Y,0.23,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +4,4,20947,5,1,7,1,44,3.8,-0.21,69,Y,-0.49,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +,,20977,,1,7,5,44,3.8,,55,Y,0,P,2,P,96,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +9,10,21000,9,2,7,4,44,3.8,1.17,67,Y,1.46,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +7,5,21001,7,1,7,3,24.5,3.8,0.5,69,Y,-0.11,F,7,P,95,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,608.9473585,e 580-640,e 580-640,0.99969816,3.8 +10,10,21132,10,2,7,1,41,3.8,1.32,66,Y,1.48,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +9,10,21216,9,2,7,1,41,3.8,0.99,68,Y,1.29,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +6,7,21376,6,1,4,3,37,3.8,0.22,54,Y,0.5,P,7,P,95,2,1,-47,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,9,21396,9,1,7,3,40,3.8,0.93,69,Y,1.01,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +10,10,21402,10,1,7,1,48,3.8,1.78,63,Y,1.96,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,979.999974,g 700+,i 820+,0.99969816,3.8 +10,5,21432,10,1,7,4,36,3.8,1.79,68,Y,-0.03,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,790.526298,g 700+,h 760-820,0.99969816,3.8 +10,10,21436,10,1,7,1,36,3.8,1.41,47,Y,1.61,P,7,P,94,1,2,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +9,9,21492,9,1,7,3,48,3.8,1.2,68,Y,1.27,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,979.999974,g 700+,i 820+,0.99969816,3.8 +,,21532,4,1,7,5,41,3.8,-0.34,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +1,2,21562,2,2,7,3,26.5,3.8,-1.19,67,Y,-1.08,P,2,P,95,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.5263045,f 640-700,f 640-700,0.99969816,3.8 +8,5,21563,8,2,7,3,30,3.8,0.61,69,Y,-0.21,F,7,P,95,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,695.78946,f 640-700,f 640-700,0.99969816,3.8 +10,9,21572,10,1,7,3,36.5,3.8,1.37,69,Y,1.18,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,798.4210345,g 700+,h 760-820,0.99969816,3.8 +6,6,21578,6,1,1,1,30,3.8,0.28,54,Y,0.04,P,2,P,96,2,3,-52,female,1,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,695.78946,f 640-700,f 640-700,0.99969816,3.8 +10,9,21605,10,2,7,4,40.5,3.8,1.52,67,Y,1.1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,861.5789265,g 700+,i 820+,0.99969816,3.8 +10,10,21686,10,1,7,1,42,3.8,1.49,69,Y,1.61,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +2,1,21734,2,2,7,5,48,3.8,-0.89,67,Y,-1.32,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +7,6,21764,8,1,2,4,41,3.8,0.56,69,Y,0.07,P,7,P,94,1,5,-62,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +8,7,21786,8,1,7,4,46,3.8,0.75,69,Y,0.51,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +9,7,21790,9,2,7,4,48,3.8,1.21,69,Y,0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +6,9,21800,6,2,7,1,39,3.8,0.14,65,Y,0.94,F,7,P,95,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +2,3,21804,3,2,7,1,38,3.8,-0.81,63,Y,-0.78,P,2,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +9,7,21835,9,2,7,4,35,3.8,0.93,60,Y,0.48,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +2,3,21840,3,2,7,1,33,3.8,-0.78,55,Y,-0.55,F,7,F,95,2,2,-48,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +2,3,21844,2,2,7,1,39,3.8,-0.88,69,Y,-0.64,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +9,9,21872,9,2,7,4,46,3.8,0.89,68,Y,1.13,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +2,2,21880,2,1,7,1,33,3.8,-0.93,69,Y,-1.05,F,7,F,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +9,10,21904,9,1,7,1,41,3.8,1.16,69,Y,1.33,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +7,8,21907,7,2,7,4,45,3.8,0.31,69,Y,0.85,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +6,6,21996,6,1,7,4,41,3.8,0.08,69,Y,0.23,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +,,22010,,1,7,5,43,3.8,,68,Y,0,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +7,8,22054,7,1,7,4,45,3.8,0.47,64,Y,0.71,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +6,7,22060,6,1,7,1,35,3.8,0.12,67,Y,0.49,P,2,P,94,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +10,10,22105,10,1,7,3,38,3.8,1.65,54,Y,1.64,P,7,P,95,1,,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +9,8,22161,9,1,7,1,30.5,3.8,0.97,59,Y,0.68,P,7,P,94,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,703.6841965,g 700+,g 700-760,0.99969816,3.8 +9,9,22224,9,1,7,1,41,3.8,1.16,69,Y,1.16,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +8,9,22226,8,1,7,1,37,3.8,0.66,69,Y,0.99,P,7,P,94,1,2,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,22227,7,2,7,5,41,3.8,0.36,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,22247,10,2,7,4,42,3.8,2.05,70,Y,1.74,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +1,1,22268,1,1,3,3,28,3.8,-1.46,69,Y,-1.48,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,664.210514,f 640-700,f 640-700,0.99969816,3.8 +1,1,22283,1,2,7,4,44,3.8,-1.36,66,Y,-1.31,P,7,P,95,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +,,22292,9,2,7,5,39,3.8,1.11,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +1,1,22304,1,1,3,4,28,3.8,-2.35,69,Y,-1.48,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,664.210514,f 640-700,f 640-700,0.99969816,3.8 +6,9,22424,6,1,7,3,35,3.8,0.24,68,Y,1.04,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,22487,3,2,7,5,43,3.8,-0.63,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +10,9,22491,10,2,7,2,37,3.8,1.28,53,Y,1.02,P,7,P,95,2,3,-46,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,806.315771,g 700+,h 760-820,0.99969816,3.8 +,,22495,1,2,7,5,44,3.8,-1.53,65,Y,,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +,,22523,,2,7,5,48,3.8,,64,Y,0,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +5,6,22525,6,2,7,1,46,3.8,0.07,66,Y,0.25,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,948.421028,g 700+,i 820+,0.99969816,3.8 +6,4,22531,6,2,7,1,37,3.8,0.09,68,Y,-0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,9,22540,9,2,7,3,37.5,3.8,0.92,68,Y,0.88,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,814.2105075,g 700+,h 760-820,0.99969816,3.8 +,,22567,3,2,7,5,39,3.8,-0.6,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +4,8,22604,4,2,7,4,40,3.8,-0.28,66,Y,0.65,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +9,10,22612,9,2,7,4,32,3.8,1.25,58,Y,1.3,P,7,P,94,1,2,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.368406,g 700+,g 700-760,0.99969816,3.8 +3,2,22628,3,2,6,5,38,3.8,-0.76,68,Y,-0.94,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,822.105244,g 700+,i 820+,0.99969816,3.8 +8,7,22667,8,1,6,5,42,3.8,0.74,69,Y,0.28,P,7,P,94,1,4,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +,,22679,,2,7,4,46,3.8,,59,Y,,P,7,P,95,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +7,6,22689,7,2,7,3,41,3.8,0.44,62,Y,0.03,P,7,P,95,2,,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.473663,g 700+,i 820+,0.99969816,3.8 +9,9,22713,9,2,7,3,40,3.8,0.96,69,Y,1.24,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +3,3,22746,3,2,3,1,30,3.8,-0.63,69,Y,-0.72,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,695.78946,f 640-700,f 640-700,0.99969816,3.8 +4,4,22758,4,1,7,5,46,3.8,-0.34,70,Y,-0.39,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +10,10,22807,10,2,7,4,42,3.8,1.73,68,Y,1.43,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +4,6,22821,4,2,7,4,44,3.8,-0.32,69,Y,0.18,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +1,3,22822,2,1,7,3,28,3.8,-1.14,70,Y,-0.79,P,6,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,664.210514,f 640-700,f 640-700,0.99969816,3.8 +5,5,22881,5,1,7,5,46,3.8,-0.07,69,Y,0.02,P,2,P,94,1,3,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +,,22912,,2,7,5,47,3.8,,67,Y,0,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +8,8,22914,8,1,7,3,27.7,3.8,0.8,66,Y,0.57,P,2,P,94,1,3,-64,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,659.4736721,f 640-700,f 640-700,0.99969816,3.8 +1,2,22923,1,2,7,5,46,3.8,-1.3,68,Y,-1.26,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +,,22954,,2,7,5,48,3.8,,65,Y,0,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +7,7,22997,7,2,7,1,41,3.8,0.46,69,Y,0.32,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +9,9,22999,9,2,7,3,37,3.8,0.92,67,Y,1,P,7,P,94,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,7,23007,5,2,7,4,30,3.8,-0.01,59,Y,0.35,F,7,P,95,1,1,-52,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,695.78946,f 640-700,f 640-700,0.99969816,3.8 +10,8,23015,10,2,7,3,46,3.8,1.49,69,Y,0.56,P,2,P,95,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,948.421028,g 700+,i 820+,0.99969816,3.8 +10,10,23020,10,1,7,1,41,3.8,1.57,66,Y,1.87,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +6,5,23050,6,1,7,4,35,3.8,0.07,69,Y,-0.15,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,23060,8,2,7,5,48,3.8,0.85,69,Y,,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +1,2,23079,1,1,2,5,41,3.8,-1.68,70,Y,-1.22,P,7,P,94,1,4,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +4,4,23113,4,2,7,4,45,3.8,-0.3,69,Y,-0.46,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +9,9,23149,9,1,7,1,44,3.8,1.13,62,Y,1.08,P,2,P,96,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +6,5,23164,6,2,7,5,45,3.8,0.12,64,Y,-0.12,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +7,7,23188,7,2,7,1,42,3.8,0.51,70,Y,0.31,P,7,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +3,3,23218,3,1,7,4,46,3.8,-0.73,68,Y,-0.58,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +,,23229,,1,6,5,44,3.8,,66,Y,0,F,7,P,96,1,2,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +7,7,23238,7,2,7,1,37,3.8,0.51,68,Y,0.34,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +2,1,23299,3,1,7,5,46,3.8,-0.85,70,Y,-1.49,P,7,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,948.421028,g 700+,i 820+,0.99969816,3.8 +7,7,23334,7,1,7,1,39,3.8,0.39,59,Y,0.42,P,7,P,93,1,3,-52,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +9,10,23362,9,2,7,1,44,3.8,1.21,69,Y,1.65,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +,,23379,4,1,7,5,45,3.8,-0.29,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +,,23392,,1,7,4,39,3.8,,61,Y,0.25,P,7,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +3,4,23442,3,1,7,1,36,3.8,-0.67,61,Y,-0.28,P,7,P,94,1,2,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +7,10,23469,7,2,7,4,41,3.8,0.48,69,Y,1.5,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +8,6,23593,8,2,7,1,43,3.8,0.64,69,Y,0.19,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,901.052609,g 700+,i 820+,0.99969816,3.8 +8,8,23600,8,2,7,5,45,3.8,0.65,69,Y,0.78,P,2,P,95,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +3,3,23649,3,2,7,5,42,3.8,-0.78,69,Y,-0.51,P,7,P,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +9,10,23656,9,1,2,5,44,3.8,1.29,70,Y,1.43,P,7,P,94,1,3,-63,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +9,8,23686,9,2,7,1,40,3.8,1.13,67,Y,0.75,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +,,23690,2,2,7,5,42,3.8,-0.92,69,Y,,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +9,10,23698,9,1,7,3,40,3.8,1.11,58,Y,1.86,P,7,P,94,1,3,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +1,6,23708,2,2,7,4,39,3.8,-1.21,61,Y,0.17,P,7,P,94,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +2,4,23712,2,1,7,4,42,3.8,-0.96,69,Y,-0.35,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +,,23716,,1,2,1,35,3.8,,66,Y,,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +,,23773,,1,7,5,47,3.8,,69,Y,0,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +10,10,23814,10,1,7,3,40,3.8,1.72,65,Y,1.59,P,7,P,94,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +5,6,23833,5,1,7,3,36,3.8,-0.06,68,Y,-0.02,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +2,5,23849,2,1,7,4,45,3.8,-0.89,69,Y,-0.15,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +7,6,23871,7,2,8,4,40,3.8,0.38,68,Y,0.12,P,7,P,94,1,4,-61,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +9,9,23873,9,2,7,3,36,3.8,1.04,69,Y,1.09,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +6,7,23941,6,1,7,4,46,3.8,0.21,69,Y,0.31,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +9,9,23980,9,2,7,1,40,3.8,0.99,69,Y,1.14,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +3,3,24009,4,1,7,3,31,3.8,-0.48,66,Y,-0.7,F,7,P,95,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,711.578933,g 700+,g 700-760,0.99969816,3.8 +4,6,24026,4,2,7,4,37,3.8,-0.26,69,Y,0.21,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,806.315771,g 700+,h 760-820,0.99969816,3.8 +2,2,24089,2,2,7,5,39,3.8,-0.98,69,Y,-1.06,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,837.894717,g 700+,i 820+,0.99969816,3.8 +10,8,24096,10,1,7,3,39,3.8,1.4,45,Y,0.82,P,7,P,94,2,4,-38,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +7,6,24099,7,1,7,4,42,3.8,0.41,68,Y,0.26,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +5,5,24133,5,1,7,1,33,3.8,-0.06,69,Y,-0.04,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +5,6,24161,6,2,7,1,38,3.8,0.04,66,Y,0.24,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +1,4,24178,2,2,2,4,46,3.8,-1.24,69,Y,-0.31,P,2,P,95,1,4,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,948.421028,g 700+,i 820+,0.99969816,3.8 +10,10,24225,10,1,7,3,30,3.8,1.54,56,Y,1.52,P,2,P,95,2,2,-54,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.78946,f 640-700,f 640-700,0.99969816,3.8 +4,5,24233,4,1,7,4,35,3.8,-0.43,69,Y,-0.08,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,774.736825,g 700+,h 760-820,0.99969816,3.8 +5,3,24252,5,1,7,4,39,3.8,-0.09,64,Y,-0.66,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +1,1,24264,1,2,7,1,39,3.8,-1.58,64,Y,-2.21,P,7,P,94,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +10,10,24304,10,2,7,3,40,3.8,1.85,68,Y,1.67,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +9,8,24312,9,2,7,5,41,3.8,1.43,69,Y,0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +4,3,24325,4,1,7,5,41,3.8,-0.32,62,Y,-0.7,P,7,P,94,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,24336,10,2,7,2,44,3.8,2.22,67,Y,2.53,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,916.842082,g 700+,i 820+,0.99969816,3.8 +5,6,24344,5,2,7,1,41,3.8,-0.08,68,Y,0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +8,8,24373,8,1,3,3,38,3.8,0.67,68,Y,0.68,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +10,7,24407,10,2,7,3,32,3.8,1.43,68,Y,0.43,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +5,6,24486,6,2,7,3,33,3.8,0.05,69,Y,0.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +7,8,24492,7,2,7,1,38,3.8,0.45,69,Y,0.73,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +2,4,24528,2,1,2,4,42,3.8,-0.89,68,Y,-0.35,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +10,10,24633,10,1,7,5,44,3.8,1.6,68,Y,1.55,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +,,24651,,2,7,2,39,3.8,,56,Y,,P,7,P,94,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,837.894717,g 700+,i 820+,0.99969816,3.8 +7,3,24684,7,1,6,4,32,3.8,0.42,57,Y,-0.67,P,7,P,95,2,1,-50,female,1,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,727.368406,g 700+,g 700-760,0.99969816,3.8 +10,10,24694,10,1,7,1,42,3.8,1.34,69,Y,1.39,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +,,24723,,2,7,5,48,3.8,,66,Y,0,P,2,P,96,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +3,3,24743,3,2,8,4,29.5,3.8,-0.72,65,Y,-0.79,P,7,P,94,1,4,-58,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,687.8947235,f 640-700,f 640-700,0.99969816,3.8 +1,1,24753,1,2,7,1,42,3.8,-1.41,69,Y,-1.61,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +7,9,24761,7,1,7,4,48,3.8,0.47,67,Y,1.2,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +8,7,24770,8,2,7,4,45,3.8,0.66,69,Y,0.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +4,6,24783,4,1,7,1,36,3.8,-0.34,69,Y,0.12,P,6,P,94,1,3,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +7,5,24785,7,1,7,1,34,3.8,0.43,69,Y,-0.06,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +9,6,24828,9,1,7,3,30.5,3.8,1.02,67,Y,0.15,P,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.6841965,g 700+,g 700-760,0.99969816,3.8 +2,3,24858,2,1,7,1,45,3.8,-0.86,60,Y,-0.75,F,6,P,95,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,932.631555,g 700+,i 820+,0.99969816,3.8 +10,10,24882,10,2,7,1,39,3.8,1.32,69,Y,1.37,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +10,10,24883,10,2,7,3,36,3.8,1.61,68,Y,1.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +8,7,24933,8,1,7,1,39,3.8,0.77,69,Y,0.55,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +10,10,24950,10,1,7,4,42,3.8,1.71,68,Y,1.31,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +,,25002,5,1,7,5,45,3.8,-0.12,54,Y,,P,7,P,94,1,3,-47,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +5,3,25050,5,2,7,1,31,3.8,-0.03,65,Y,-0.61,P,2,P,95,1,2,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,711.578933,g 700+,g 700-760,0.99969816,3.8 +7,7,25088,7,2,7,4,36,3.8,0.3,69,Y,0.33,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,790.526298,g 700+,h 760-820,0.99969816,3.8 +,,25164,,1,7,4,41,3.8,,65,Y,,P,7,P,94,1,4,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,869.473663,g 700+,i 820+,0.99969816,3.8 +2,4,25201,2,1,7,1,29.5,3.8,-0.84,49,Y,-0.52,P,7,P,95,2,4,-42,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,687.8947235,f 640-700,f 640-700,0.99969816,3.8 +10,10,25213,10,2,7,1,42,3.8,2.1,69,Y,2.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,885.263136,g 700+,i 820+,0.99969816,3.8 +7,7,25221,8,1,7,3,33,3.8,0.53,62,Y,0.39,P,7,P,95,1,4,-55,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,743.157879,g 700+,g 700-760,0.99969816,3.8 +9,7,25233,9,2,7,1,35,3.8,1.03,67,Y,0.45,P,2,P,95,1,2,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +8,5,25247,8,2,7,1,38,3.8,0.82,69,Y,-0.06,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,822.105244,g 700+,i 820+,0.99969816,3.8 +8,5,25252,8,2,7,5,43,3.8,0.78,69,Y,-0.11,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +9,9,25269,9,2,7,5,44,3.8,1.14,67,Y,0.84,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +7,8,25283,7,1,7,1,35,3.8,0.48,69,Y,0.75,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +6,6,25286,6,2,7,5,35,3.8,0.33,65,Y,0.14,P,7,P,94,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,774.736825,g 700+,h 760-820,0.99969816,3.8 +2,3,25307,2,2,7,5,42,3.8,-1.02,69,Y,-0.71,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,885.263136,g 700+,i 820+,0.99969816,3.8 +8,9,25315,8,2,7,1,37,3.8,0.85,68,Y,0.92,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,6,25342,5,2,7,3,35,3.8,-0.1,57,Y,0.25,P,7,P,94,1,2,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,774.736825,g 700+,h 760-820,0.99969816,3.8 +9,9,25374,9,1,7,1,33,3.8,0.98,57,Y,1.02,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +10,10,25375,10,1,7,1,44,3.8,2.16,62,Y,2.19,P,2,P,96,2,4,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,916.842082,g 700+,i 820+,0.99969816,3.8 +9,10,25389,9,2,7,2,39,3.8,1.21,68,Y,1.71,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,837.894717,g 700+,i 820+,0.99969816,3.8 +10,10,25393,10,2,7,5,48,3.8,1.61,67,Y,1.96,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +8,4,25404,8,1,7,1,30,3.8,0.63,52,Y,-0.26,F,2,P,96,1,2,-50,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,695.78946,f 640-700,f 640-700,0.99969816,3.8 +3,1,25459,3,2,7,1,35,3.8,-0.7,68,Y,-1.69,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +7,6,25495,7,2,7,4,48,3.8,0.44,52,Y,0.16,P,7,P,94,1,3,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +9,10,25504,9,2,7,3,41,3.8,1.03,59,Y,2.37,P,7,P,94,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,869.473663,g 700+,i 820+,0.99969816,3.8 +4,1,25567,5,1,7,3,30,3.8,-0.22,58,Y,-1.47,F,7,F,95,2,2,-51,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,695.78946,f 640-700,f 640-700,0.99969816,3.8 +2,2,25581,2,2,7,4,40,3.8,-1.11,68,Y,-1.17,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +8,8,25589,8,1,7,4,44,3.8,0.79,64,Y,0.7,P,2,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,916.842082,g 700+,i 820+,0.99969816,3.8 +10,10,25594,10,2,7,3,39,3.8,1.85,69,Y,2.16,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +10,8,25639,10,2,7,4,36,3.8,1.91,69,Y,0.82,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,790.526298,g 700+,h 760-820,0.99969816,3.8 +1,1,25783,2,1,6,3,31,3.8,-1.3,64,Y,-1.84,F,7,F,94,1,3,-57,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,711.578933,g 700+,g 700-760,0.99969816,3.8 +6,6,25798,6,2,7,1,34,3.8,0.26,61,Y,0.2,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +9,10,25819,9,1,8,4,45,3.8,0.98,69,Y,1.64,P,7,P,94,1,3,-62,female,0,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,5,932.631555,g 700+,i 820+,0.99969816,3.8 +10,10,25931,10,2,7,3,35.5,3.8,2.16,69,Y,1.81,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.6315615,g 700+,h 760-820,0.99969816,3.8 +,,25994,7,2,7,5,47,3.8,0.38,67,Y,,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +2,3,26009,2,1,7,3,29,3.8,-1.06,50,Y,-0.75,P,7,P,94,1,3,-43,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,679.999987,f 640-700,f 640-700,0.99969816,3.8 +9,10,26075,9,2,7,4,48,3.8,0.92,69,Y,1.71,P,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,979.999974,g 700+,i 820+,0.99969816,3.8 +2,3,26079,2,1,7,1,33,3.8,-0.99,67,Y,-0.6,F,7,P,95,1,2,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +3,3,26100,4,1,7,5,40,3.8,-0.49,67,Y,-0.51,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +9,8,26112,9,1,7,1,40,3.8,1.16,67,Y,0.86,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +10,9,26135,10,1,7,3,38,3.8,1.38,69,Y,1.06,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +10,10,26185,10,1,7,3,37,3.8,1.78,64,Y,1.67,P,2,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +5,5,26199,5,2,7,1,33,3.8,0,69,Y,-0.15,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +4,5,26203,4,1,7,3,32,3.8,-0.4,69,Y,-0.11,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.368406,g 700+,g 700-760,0.99969816,3.8 +,,26206,,2,7,1,39,3.8,,62,Y,,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +9,7,26218,9,1,7,3,39,3.8,1.08,69,Y,0.46,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,837.894717,g 700+,i 820+,0.99969816,3.8 +8,9,26293,8,1,7,4,38.5,3.8,0.86,69,Y,1.09,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,829.9999805,g 700+,i 820+,0.99969816,3.8 +3,3,26298,3,2,7,1,33,3.8,-0.54,69,Y,-0.56,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +,,26329,,1,2,5,48,3.8,,68,Y,0,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +10,10,26348,10,2,7,4,38,3.8,1.65,66,Y,1.55,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,822.105244,g 700+,i 820+,0.99969816,3.8 +8,8,26410,8,2,7,3,34,3.8,0.8,69,Y,0.56,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,758.947352,g 700+,g 700-760,0.99969816,3.8 +8,6,26415,8,1,4,5,44,3.8,0.67,67,Y,0.13,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,916.842082,g 700+,i 820+,0.99969816,3.8 +9,10,26425,9,2,7,1,47,3.8,1.06,68,Y,1.3,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,964.210501,g 700+,i 820+,0.99969816,3.8 +7,7,26451,7,2,7,1,35,3.8,0.47,68,Y,0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,774.736825,g 700+,h 760-820,0.99969816,3.8 +2,3,26454,3,1,7,1,34,3.8,-0.79,67,Y,-0.87,P,2,P,95,1,3,-65,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,758.947352,g 700+,g 700-760,0.99969816,3.8 +1,3,26458,2,1,7,3,37,3.8,-1.18,68,Y,-0.65,P,7,P,95,2,3,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +9,9,26464,9,2,6,1,33,3.8,1.03,68,Y,1.16,P,2,P,96,1,3,-66,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,743.157879,g 700+,g 700-760,0.99969816,3.8 +1,3,26489,1,1,7,1,41,3.8,-1.28,69,Y,-0.79,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +,,26499,,2,7,5,48,3.8,,68,Y,0,P,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,979.999974,g 700+,i 820+,0.99969816,3.8 +8,8,26544,8,2,7,3,36,3.8,0.65,65,Y,0.83,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,790.526298,g 700+,h 760-820,0.99969816,3.8 +8,6,26600,8,2,7,4,40,3.8,0.79,69,Y,0.16,P,2,P,94,1,3,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,853.68419,g 700+,i 820+,0.99969816,3.8 +10,10,26613,10,1,7,3,44,3.8,1.86,65,Y,2.14,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,916.842082,g 700+,i 820+,0.99969816,3.8 +10,10,26623,10,1,7,6,34,3.8,1.42,61,Y,1.42,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,758.947352,g 700+,g 700-760,0.99969816,3.8 +10,10,26626,10,1,7,3,40,3.8,1.32,55,Y,1.33,P,2,P,95,2,3,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,853.68419,g 700+,i 820+,0.99969816,3.8 +5,3,26741,6,2,7,1,37,3.8,0.06,69,Y,-0.58,P,6,P,94,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +10,10,26742,10,2,7,3,42,3.8,1.8,67,Y,1.77,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,885.263136,g 700+,i 820+,0.99969816,3.8 +8,7,26818,8,2,7,5,40,3.8,0.93,69,Y,0.43,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,853.68419,g 700+,i 820+,0.99969816,3.8 +6,6,26861,6,1,7,4,36,3.8,0.19,67,Y,0.14,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,790.526298,g 700+,h 760-820,0.99969816,3.8 +9,9,26869,9,1,7,5,38,3.8,1.29,69,Y,0.96,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,822.105244,g 700+,i 820+,0.99969816,3.8 +5,7,26919,5,1,7,1,40,3.8,-0.02,68,Y,0.46,P,6,P,95,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +6,2,26954,7,2,7,3,38,3.8,0.26,69,Y,-0.96,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,822.105244,g 700+,i 820+,0.99969816,3.8 +10,8,26976,10,2,7,1,39,3.8,1.4,68,Y,0.59,P,2,P,94,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,837.894717,g 700+,i 820+,0.99969816,3.8 +,,26992,,1,7,1,37,3.8,,69,Y,0.55,P,2,P,96,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,806.315771,g 700+,h 760-820,0.99969816,3.8 +4,5,26999,4,1,7,1,36,3.8,-0.32,69,Y,-0.07,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,790.526298,g 700+,h 760-820,0.99969816,3.8 +2,1,27000,2,2,2,4,23,3.8,-1.07,55,Y,-1.54,F,7,P,96,2,3,-48,male,1,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,585.263149,e 580-640,e 580-640,0.99969816,3.8 +10,10,27013,10,1,7,1,46,3.8,1.74,68,Y,1.47,P,2,P,95,1,3,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,948.421028,g 700+,i 820+,0.99969816,3.8 +5,4,27050,5,1,7,4,39,3.8,-0.14,61,Y,-0.29,P,7,P,94,1,3,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,837.894717,g 700+,i 820+,0.99969816,3.8 +3,3,27062,3,1,7,1,40,3.8,-0.54,69,Y,-0.71,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +5,3,27121,5,1,6,5,47,3.8,-0.13,69,Y,-0.65,P,7,P,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,964.210501,g 700+,i 820+,0.99969816,3.8 +8,10,27124,8,1,4,6,21,3.8,0.77,40,Y,1.78,P,7,P,94,1,1,-33,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,553.684203,d 520-580,d 520-580,0.99969816,3.8 +5,7,27141,5,2,7,1,32.5,3.8,-0.08,67,Y,0.32,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,735.2631425,g 700+,g 700-760,0.99969816,3.8 +1,2,27217,2,2,7,1,41,3.8,-1.15,68,Y,-1.17,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,869.473663,g 700+,i 820+,0.99969816,3.8 +10,10,27240,10,1,7,3,37,3.8,1.49,68,Y,1.82,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,806.315771,g 700+,h 760-820,0.99969816,3.8 +8,10,27310,8,1,7,4,42,3.8,0.83,67,Y,1.57,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,885.263136,g 700+,i 820+,0.99969816,3.8 +7,10,27409,7,2,7,5,45,3.8,0.57,66,Y,1.37,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,932.631555,g 700+,i 820+,0.99969816,3.8 +,,27444,3,1,7,5,43,3.8,-0.63,69,Y,,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,901.052609,g 700+,i 820+,0.99969816,3.8 +8,8,27455,8,2,7,1,40,3.8,0.68,69,Y,0.87,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,853.68419,g 700+,i 820+,0.99969816,3.8 +2,1,54,2,2,3,4,29,2.5,-1.08,64,Y,-1.46,P,7,P,94,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,549.999987,d 520-580,d 520-580,0.94313484,2.5 +1,2,56,1,1,4,3,27,2.5,-1.4,68,Y,-1.08,P,7,P,94,1,3,-61,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,518.421041,c 460-520,c 460-520,0.94313484,2.5 +2,2,61,2,2,2,1,34,2.5,-1.14,67,Y,-0.93,F,7,F,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,628.947352,e 580-640,e 580-640,0.94313484,2.5 +,,150,,2,7,4,38,2.5,,61,Y,,F,7,F,95,2,2,-54,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,692.105244,f 640-700,f 640-700,0.94313484,2.5 +2,4,185,3,2,7,3,43,2.5,-0.81,56,Y,-0.36,P,7,P,95,2,4,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,771.052609,g 700+,h 760-820,0.94313484,2.5 +7,9,199,7,1,7,1,47,2.5,0.44,67,Y,1.08,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,834.210501,g 700+,i 820+,0.94313484,2.5 +3,3,221,4,2,7,6,25.5,2.5,-0.4,66,Y,-0.75,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,494.7368315,c 460-520,c 460-520,0.94313484,2.5 +2,1,245,3,1,7,3,32.3,2.5,-0.79,63,Y,-1.75,P,2,P,95,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,602.1052479,e 580-640,e 580-640,0.94313484,2.5 +2,3,335,3,1,7,3,29,2.5,-0.75,61,Y,-0.78,F,2,F,95,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,549.999987,d 520-580,d 520-580,0.94313484,2.5 +2,1,362,3,2,7,3,37,2.5,-0.77,68,Y,-1.55,F,7,P,95,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,2,369,2,2,7,3,40,2.5,-0.93,65,Y,-1.04,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +2,3,399,2,2,7,2,34,2.5,-0.99,68,Y,-0.91,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +5,5,418,6,2,7,3,36,2.5,0.03,68,Y,-0.15,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +1,1,476,1,1,4,3,31,2.5,-1.5,67,Y,-2.11,F,2,F,96,2,2,-65,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,581.578933,e 580-640,e 580-640,0.94313484,2.5 +,,532,,2,7,6,27,2.5,,53,Y,,F,7,F,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,518.421041,c 460-520,c 460-520,0.94313484,2.5 +4,2,542,4,2,7,3,33,2.5,-0.32,65,Y,-1.27,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +1,1,543,1,2,7,3,33,2.5,-1.4,69,Y,-1.63,P,2,P,94,1,4,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +1,1,644,1,2,3,3,27,2.5,-2,58,Y,-1.95,P,7,P,95,2,3,-51,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,518.421041,c 460-520,c 460-520,0.94313484,2.5 +1,2,724,2,1,7,1,26.5,2.5,-1.15,43,Y,-1.09,P,7,P,95,1,4,-36,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,510.5263045,c 460-520,c 460-520,0.94313484,2.5 +10,2,854,10,1,7,5,37,2.5,2.29,68,Y,-1.09,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,676.315771,f 640-700,f 640-700,0.94313484,2.5 +6,2,899,6,2,7,3,41,2.5,0.1,68,Y,-0.95,F,7,F,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +1,1,1045,1,2,7,3,31.3,2.5,-1.77,68,Y,-2.8,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,586.3157749,e 580-640,e 580-640,0.94313484,2.5 +1,1,1077,1,2,1,3,28,2.5,-1.54,66,Y,-1.54,F,7,P,95,1,2,-59,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,3,534.210514,d 520-580,d 520-580,0.94313484,2.5 +3,5,1100,4,1,7,6,30.3,2.5,-0.43,64,Y,-0.06,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,570.5263019,d 520-580,d 520-580,0.94313484,2.5 +5,3,1134,5,2,7,5,45,2.5,-0.13,65,Y,-0.57,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,802.631555,g 700+,h 760-820,0.94313484,2.5 +,,1185,,2,7,3,44,2.5,,66,Y,,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.842082,g 700+,h 760-820,0.94313484,2.5 +10,10,1199,10,2,7,3,38,2.5,1.7,67,Y,1.43,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +,,1213,,2,7,3,39,2.5,,69,Y,-0.01,F,7,P,95,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +5,3,1214,5,2,3,1,33,2.5,-0.14,60,Y,-0.57,P,7,P,94,2,3,-53,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,613.157879,e 580-640,e 580-640,0.94313484,2.5 +4,2,1226,4,2,7,2,40,2.5,-0.34,66,Y,-1.17,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,723.68419,g 700+,g 700-760,0.94313484,2.5 +9,9,1266,9,2,4,6,23.5,2.5,1.21,66,Y,1,P,7,P,94,1,5,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,463.1578855,c 460-520,c 460-520,0.94313484,2.5 +3,4,1362,4,2,7,2,33,2.5,-0.5,66,Y,-0.55,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +1,1,1372,1,1,3,1,36,2.5,-2.3,68,Y,-2.63,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,660.526298,f 640-700,f 640-700,0.94313484,2.5 +5,3,1395,5,2,3,4,32,2.5,-0.19,67,Y,-0.59,P,2,P,96,2,3,-65,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,597.368406,e 580-640,e 580-640,0.94313484,2.5 +7,7,1461,7,1,2,3,29.7,2.5,0.41,68,Y,0.36,P,7,P,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,561.0526181,d 520-580,d 520-580,0.94313484,2.5 +8,8,1619,8,2,7,2,32,2.5,0.69,65,Y,0.65,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,597.368406,e 580-640,e 580-640,0.94313484,2.5 +8,5,1662,8,2,7,3,32,2.5,0.61,62,Y,-0.1,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +2,2,1663,2,1,1,2,40,2.5,-0.94,68,Y,-1.04,F,7,F,94,1,3,-61,female,0,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,2,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,1668,3,1,3,5,41,2.5,-0.64,68,Y,,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,739.473663,g 700+,g 700-760,0.94313484,2.5 +7,8,1772,7,2,7,2,29,2.5,0.32,64,Y,0.61,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,549.999987,d 520-580,d 520-580,0.94313484,2.5 +3,2,1796,3,2,3,4,30.5,2.5,-0.55,68,Y,-0.9,F,7,P,95,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,573.6841965,d 520-580,d 520-580,0.94313484,2.5 +6,5,1829,6,2,7,3,38,2.5,0.16,65,Y,-0.27,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +6,5,1863,6,2,7,3,36,2.5,0.07,69,Y,-0.04,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +10,10,2056,10,2,7,1,37,2.5,1.39,68,Y,1.3,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,676.315771,f 640-700,f 640-700,0.94313484,2.5 +3,4,2064,3,2,7,3,35,2.5,-0.55,67,Y,-0.55,P,6,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +1,1,2077,1,2,7,3,37,2.5,-1.44,67,Y,-1.4,F,7,P,96,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +6,4,2102,6,1,3,6,30,2.5,0.18,66,Y,-0.56,P,7,P,95,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,565.78946,d 520-580,d 520-580,0.94313484,2.5 +8,7,2107,8,2,7,3,34.5,2.5,0.74,61,Y,0.38,P,7,P,94,1,5,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,636.8420885,e 580-640,e 580-640,0.94313484,2.5 +10,10,2276,10,2,7,6,26,2.5,1.79,63,Y,1.46,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,502.631568,c 460-520,c 460-520,0.94313484,2.5 +9,9,2340,9,2,2,3,38.3,2.5,1.24,65,Y,1.24,P,7,P,94,1,4,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,696.8420859,f 640-700,f 640-700,0.94313484,2.5 +6,4,2388,6,2,7,3,46,2.5,0.21,64,Y,-0.44,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,818.421028,g 700+,h 760-820,0.94313484,2.5 +2,2,2467,2,2,7,3,42,2.5,-0.97,68,Y,-1.24,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,755.263136,g 700+,g 700-760,0.94313484,2.5 +8,8,2488,8,2,7,2,38,2.5,0.74,66,Y,0.86,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,692.105244,f 640-700,f 640-700,0.94313484,2.5 +2,2,2521,2,1,7,3,35,2.5,-0.85,69,Y,-1.12,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +,,2545,,2,3,2,25.5,2.5,,54,Y,,P,7,P,94,1,1,-47,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,494.7368315,c 460-520,c 460-520,0.94313484,2.5 +4,1,2580,4,2,7,2,25,2.5,-0.34,67,Y,-1.7,F,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,486.842095,c 460-520,c 460-520,0.94313484,2.5 +8,8,2581,8,2,7,1,39,2.5,0.85,69,Y,0.67,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.894717,g 700+,g 700-760,0.94313484,2.5 +6,7,2583,7,1,7,2,33,2.5,0.21,47,Y,0.53,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +6,4,2643,6,2,7,3,32.5,2.5,0.1,65,Y,-0.36,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.2631425,e 580-640,e 580-640,0.94313484,2.5 +6,6,2654,7,2,7,2,39,2.5,0.24,69,Y,0.15,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,707.894717,g 700+,g 700-760,0.94313484,2.5 +2,4,2666,2,1,3,3,32,2.5,-1.05,69,Y,-0.52,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +3,2,2683,3,2,7,3,37,2.5,-0.63,66,Y,-1.3,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +4,5,2766,4,1,7,3,40,2.5,-0.25,67,Y,-0.23,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +8,6,2852,8,2,7,3,38,2.5,0.63,60,Y,0,P,7,P,94,1,,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +1,1,2858,1,2,6,4,37,2.5,-1.67,68,Y,-2.12,F,7,F,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,676.315771,f 640-700,f 640-700,0.94313484,2.5 +7,7,2875,7,2,7,2,34,2.5,0.5,68,Y,0.39,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +1,2,2926,1,2,7,1,39.5,2.5,-1.43,60,Y,-1.18,P,7,P,95,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,715.7894535,g 700+,g 700-760,0.94313484,2.5 +10,8,2953,10,2,7,6,39,2.5,1.4,66,Y,0.81,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,1,2967,1,2,3,4,32,2.5,-1.87,70,Y,-2.05,P,2,P,95,1,4,-68,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,597.368406,e 580-640,e 580-640,0.94313484,2.5 +10,10,3120,10,2,7,3,40,2.5,1.59,64,Y,1.6,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +7,9,3239,7,2,7,1,45,2.5,0.35,69,Y,1.12,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.631555,g 700+,h 760-820,0.94313484,2.5 +1,2,3284,2,2,7,4,40,2.5,-1.2,63,Y,-1.06,P,2,P,95,2,5,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,723.68419,g 700+,g 700-760,0.94313484,2.5 +1,1,3358,1,2,3,5,39,2.5,-1.9,65,Y,-2.11,P,7,P,94,1,4,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,2,3406,1,1,3,4,35,2.5,-1.47,57,Y,-1.01,F,2,F,96,2,2,-55,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,644.736825,f 640-700,f 640-700,0.94313484,2.5 +8,7,3670,8,2,7,1,40.5,2.5,0.63,57,Y,0.33,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,731.5789265,g 700+,g 700-760,0.94313484,2.5 +1,1,3720,1,2,7,3,34,2.5,-1.65,68,Y,-1.58,P,2,P,95,1,3,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.947352,e 580-640,e 580-640,0.94313484,2.5 +6,9,3746,6,2,7,1,41,2.5,0.12,64,Y,1.15,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,739.473663,g 700+,g 700-760,0.94313484,2.5 +3,2,3754,3,2,7,1,47,2.5,-0.69,66,Y,-1.15,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,834.210501,g 700+,i 820+,0.94313484,2.5 +1,7,3842,1,2,2,2,29,2.5,-1.44,68,Y,0.43,P,7,P,94,1,3,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,549.999987,d 520-580,d 520-580,0.94313484,2.5 +2,1,3865,2,1,3,4,30,2.5,-1.14,65,Y,-1.61,F,7,F,94,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,565.78946,d 520-580,d 520-580,0.94313484,2.5 +2,3,3891,2,2,7,4,33,2.5,-0.99,66,Y,-0.71,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,613.157879,e 580-640,e 580-640,0.94313484,2.5 +2,2,3905,2,1,7,3,24,2.5,-0.85,68,Y,-1.26,P,7,P,94,1,2,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,471.052622,c 460-520,c 460-520,0.94313484,2.5 +1,1,4083,1,2,2,4,25,2.5,-1.86,44,Y,-2.4,F,7,F,95,1,1,-37,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,5,486.842095,c 460-520,c 460-520,0.94313484,2.5 +2,1,4107,3,1,3,3,20,2.5,-0.8,61,Y,-1.39,F,2,F,95,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,407.89473,b 400-460,b 400-460,0.94313484,2.5 +3,1,4119,4,2,3,6,22,2.5,-0.47,64,Y,-1.87,F,7,P,95,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,439.473676,b 400-460,b 400-460,0.94313484,2.5 +9,9,4174,9,2,7,3,39,2.5,1.09,66,Y,1.08,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +3,3,4187,3,1,7,4,40,2.5,-0.73,69,Y,-0.64,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,723.68419,g 700+,g 700-760,0.94313484,2.5 +7,6,4197,7,2,6,6,35,2.5,0.43,60,Y,0.09,P,7,P,94,1,4,-53,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,644.736825,f 640-700,f 640-700,0.94313484,2.5 +10,10,4213,10,2,7,3,39,2.5,1.64,58,Y,1.82,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,3,4344,2,1,7,2,33,2.5,-1.27,69,Y,-0.76,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +4,3,4387,5,2,7,3,40,2.5,-0.21,68,Y,-0.6,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +9,8,4394,9,2,7,3,42,2.5,0.95,64,Y,0.86,P,7,P,94,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,755.263136,g 700+,g 700-760,0.94313484,2.5 +2,2,4446,2,2,7,3,36,2.5,-0.91,66,Y,-1.1,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +2,2,4486,2,1,4,1,33,2.5,-0.98,61,Y,-0.93,P,7,P,94,1,3,-54,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,613.157879,e 580-640,e 580-640,0.94313484,2.5 +4,4,4568,5,2,7,3,35,2.5,-0.2,52,Y,-0.52,P,2,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +6,5,4591,6,2,7,3,37,2.5,0.1,67,Y,-0.2,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,2,4653,2,1,7,4,39,2.5,-1.04,70,Y,-1.19,P,7,P,94,1,4,-63,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,707.894717,g 700+,g 700-760,0.94313484,2.5 +,,4672,,2,3,5,33,2.5,,64,Y,,P,7,P,95,1,1,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,613.157879,e 580-640,e 580-640,0.94313484,2.5 +5,3,4729,5,2,7,4,36,2.5,-0.12,69,Y,-0.68,P,7,P,94,1,,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,660.526298,f 640-700,f 640-700,0.94313484,2.5 +2,1,4743,2,2,7,2,34,2.5,-1,44,Y,-1.32,F,7,F,94,,3,-37,male,,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +6,5,4785,6,2,2,1,35.5,2.5,0.14,66,Y,-0.25,P,2,P,94,1,3,-64,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,652.6315615,f 640-700,f 640-700,0.94313484,2.5 +,,4787,,2,7,4,40,2.5,,62,Y,,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,4816,,1,7,6,36,2.5,,51,Y,,P,7,P,94,1,3,-44,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,660.526298,f 640-700,f 640-700,0.94313484,2.5 +2,1,4914,3,2,7,3,40,2.5,-0.81,68,Y,-1.33,F,7,F,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,4969,,2,7,,26,2.5,-0.58,68,Y,-0.6,P,7,P,94,2,4,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,502.631568,c 460-520,c 460-520,0.94313484,2.5 +,,5147,,1,3,4,29,2.5,,64,Y,-1.41,F,7,F,95,2,,-57,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,549.999987,d 520-580,d 520-580,0.94313484,2.5 +1,1,5165,1,2,3,1,22,2.5,-1.54,61,Y,-1.84,F,6,P,95,1,3,-55,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,439.473676,b 400-460,b 400-460,0.94313484,2.5 +1,1,5166,1,1,3,1,25,2.5,-1.65,43,Y,-1.8,F,7,F,94,1,4,-36,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,486.842095,c 460-520,c 460-520,0.94313484,2.5 +3,3,5170,4,2,7,3,43,2.5,-0.5,62,Y,-0.84,F,7,P,95,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,771.052609,g 700+,h 760-820,0.94313484,2.5 +3,4,5216,4,2,7,3,28,2.5,-0.52,66,Y,-0.42,F,7,F,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,534.210514,d 520-580,d 520-580,0.94313484,2.5 +6,4,5230,6,2,7,3,40,2.5,0.1,49,Y,-0.35,P,2,P,96,2,3,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +9,6,5234,9,2,7,3,39,2.5,0.88,64,Y,0.1,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,1,5261,2,2,7,2,38,2.5,-1.12,65,Y,-1.37,F,7,F,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,692.105244,f 640-700,f 640-700,0.94313484,2.5 +10,10,5272,10,2,7,3,44,2.5,1.52,65,Y,1.53,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.842082,g 700+,h 760-820,0.94313484,2.5 +2,3,5295,3,2,7,3,33,2.5,-0.75,47,Y,-0.74,P,7,P,94,1,4,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +9,9,5306,9,2,7,2,41,2.5,1.11,63,Y,1.27,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,739.473663,g 700+,g 700-760,0.94313484,2.5 +5,6,5345,5,2,7,3,40.5,2.5,-0.15,68,Y,-0.02,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,731.5789265,g 700+,g 700-760,0.94313484,2.5 +,,5388,8,2,7,3,41,2.5,0.59,65,Y,,P,7,P,94,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +8,9,5413,8,2,7,3,29.5,2.5,0.69,56,Y,1.2,P,7,P,94,2,3,-49,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,557.8947235,d 520-580,d 520-580,0.94313484,2.5 +4,2,5479,5,2,7,2,33,2.5,-0.29,68,Y,-1.06,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +3,3,5486,3,2,7,3,40,2.5,-0.52,60,Y,-0.72,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +3,3,5627,3,2,3,3,25,2.5,-0.52,54,Y,-0.71,F,7,F,94,1,2,-47,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,486.842095,c 460-520,c 460-520,0.94313484,2.5 +9,8,5668,9,2,7,3,32,2.5,1.01,63,Y,0.8,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +2,1,5685,2,2,7,3,30,2.5,-0.99,63,Y,-1.65,P,2,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,565.78946,d 520-580,d 520-580,0.94313484,2.5 +1,4,5715,2,1,7,3,37,2.5,-1.27,68,Y,-0.54,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +5,4,5750,6,1,7,3,31,2.5,0.02,66,Y,-0.51,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,581.578933,e 580-640,e 580-640,0.94313484,2.5 +3,1,5911,4,2,7,2,34.5,2.5,-0.53,68,Y,-1.37,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,636.8420885,e 580-640,e 580-640,0.94313484,2.5 +3,2,5912,4,2,7,3,41,2.5,-0.5,67,Y,-1.16,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +10,10,5952,10,1,6,2,33,2.5,2.28,67,Y,2.23,P,7,P,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +,,6006,,1,7,3,40,2.5,,64,Y,,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +9,8,6018,9,2,7,3,37,2.5,1.1,67,Y,0.57,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +1,1,6084,2,1,3,1,37,2.5,-1.17,70,Y,-1.53,P,2,P,95,1,4,-68,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,676.315771,f 640-700,f 640-700,0.94313484,2.5 +1,1,6091,1,1,3,4,26,2.5,-2.07,60,Y,-2.32,F,2,F,95,1,2,-58,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,502.631568,c 460-520,c 460-520,0.94313484,2.5 +10,9,6149,10,2,7,3,40,2.5,1.38,68,Y,1.22,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +7,6,6160,8,1,7,6,33,2.5,0.61,42,Y,0.15,P,7,P,94,1,4,-35,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,613.157879,e 580-640,e 580-640,0.94313484,2.5 +4,2,6163,4,2,7,2,34,2.5,-0.4,68,Y,-1.09,F,7,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +8,5,6174,8,1,3,1,23,2.5,0.8,63,Y,-0.13,P,2,P,95,2,3,-61,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,455.263149,b 400-460,b 400-460,0.94313484,2.5 +5,4,6221,5,2,7,3,37,2.5,-0.1,69,Y,-0.42,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,3,6302,2,2,7,3,30.5,2.5,-1.02,67,Y,-0.82,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,573.6841965,d 520-580,d 520-580,0.94313484,2.5 +7,5,6313,8,1,7,3,29,2.5,0.55,60,Y,-0.15,P,7,P,94,1,4,-53,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,549.999987,d 520-580,d 520-580,0.94313484,2.5 +4,3,6318,5,2,7,1,38,2.5,-0.22,61,Y,-0.72,P,2,P,96,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,692.105244,f 640-700,f 640-700,0.94313484,2.5 +10,8,6358,10,1,7,4,34.5,2.5,1.3,69,Y,0.68,P,7,P,94,1,5,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,636.8420885,e 580-640,e 580-640,0.94313484,2.5 +8,5,6410,8,2,7,2,38,2.5,0.62,61,Y,-0.08,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,692.105244,f 640-700,f 640-700,0.94313484,2.5 +3,2,6428,4,2,7,1,48,2.5,-0.51,66,Y,-0.96,F,7,P,96,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,849.999974,g 700+,i 820+,0.94313484,2.5 +2,2,6539,2,2,4,4,35,2.5,-0.98,62,Y,-1.11,F,7,F,94,1,2,-55,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,644.736825,f 640-700,f 640-700,0.94313484,2.5 +5,3,6771,6,1,3,6,19,2.5,0.05,67,Y,-0.76,F,7,F,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,392.105257,a under 400,a under 400,0.94313484,2.5 +5,5,6774,5,1,3,1,33,2.5,-0.03,66,Y,-0.15,P,7,P,94,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,613.157879,e 580-640,e 580-640,0.94313484,2.5 +6,5,6807,6,2,4,5,36,2.5,0.12,66,Y,-0.13,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,660.526298,f 640-700,f 640-700,0.94313484,2.5 +1,1,6817,1,2,7,4,38,2.5,-1.69,64,Y,-2.08,F,2,F,95,1,1,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,692.105244,f 640-700,f 640-700,0.94313484,2.5 +7,5,6917,8,2,6,6,29,2.5,0.56,66,Y,-0.24,P,7,P,94,1,3,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,549.999987,d 520-580,d 520-580,0.94313484,2.5 +8,6,6944,8,1,3,6,25,2.5,0.77,67,Y,0.02,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,486.842095,c 460-520,c 460-520,0.94313484,2.5 +9,9,6974,9,2,7,3,40,2.5,1.1,62,Y,1.1,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,7003,,2,7,,29.7,2.5,-0.14,66,Y,-0.45,P,2,P,95,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,561.0526181,d 520-580,d 520-580,0.94313484,2.5 +6,10,7067,6,2,7,3,39,2.5,0.19,59,Y,1.62,P,7,P,94,1,3,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +,,7105,,2,3,5,35,2.5,,69,Y,,P,7,P,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,644.736825,f 640-700,f 640-700,0.94313484,2.5 +3,5,7211,4,2,7,3,48,2.5,-0.46,69,Y,-0.08,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,849.999974,g 700+,i 820+,0.94313484,2.5 +5,6,7288,5,2,2,3,36,2.5,-0.03,60,Y,0.09,P,7,P,94,1,3,-53,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +1,1,7397,1,1,3,1,24,2.5,-1.28,65,Y,-1.91,P,7,P,95,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,471.052622,c 460-520,c 460-520,0.94313484,2.5 +5,2,7555,5,1,7,3,35.5,2.5,-0.03,66,Y,-1.26,F,7,F,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,652.6315615,f 640-700,f 640-700,0.94313484,2.5 +10,10,7616,10,2,7,3,39,2.5,1.84,57,Y,1.61,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +2,3,7687,2,2,3,1,30,2.5,-0.86,67,Y,-0.66,P,7,P,94,1,5,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,565.78946,d 520-580,d 520-580,0.94313484,2.5 +3,3,7689,3,1,8,3,41,2.5,-0.69,55,Y,-0.6,F,2,F,95,1,4,-53,female,0,0,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +2,2,7716,2,1,3,4,39,2.5,-0.89,70,Y,-1.2,F,7,F,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,707.894717,g 700+,g 700-760,0.94313484,2.5 +7,9,7719,8,1,7,3,38,2.5,0.52,57,Y,0.96,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +4,5,7754,4,2,7,3,36,2.5,-0.27,63,Y,-0.09,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +7,3,7769,7,2,7,3,33,2.5,0.33,66,Y,-0.81,F,2,P,96,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +7,6,7824,7,1,7,3,43,2.5,0.36,67,Y,0.23,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,771.052609,g 700+,h 760-820,0.94313484,2.5 +7,7,7846,7,1,7,3,39,2.5,0.38,64,Y,0.53,P,7,P,94,2,4,-57,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +,,7921,9,2,7,3,45,2.5,0.87,64,Y,,P,2,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,802.631555,g 700+,h 760-820,0.94313484,2.5 +7,5,7970,7,1,7,3,37,2.5,0.37,69,Y,-0.15,P,7,P,94,1,,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +,,7998,3,2,7,4,39,2.5,-0.62,68,Y,,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,707.894717,g 700+,g 700-760,0.94313484,2.5 +3,6,8001,4,1,7,3,37,2.5,-0.46,64,Y,0.02,P,7,P,95,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +3,3,8039,3,2,7,3,35,2.5,-0.56,64,Y,-0.78,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +2,4,8103,3,1,3,6,22,2.5,-0.6,57,Y,-0.55,F,2,F,95,1,3,-55,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,439.473676,b 400-460,b 400-460,0.94313484,2.5 +4,8,8156,4,2,7,4,38,2.5,-0.36,61,Y,0.63,F,7,P,96,2,1,-54,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,692.105244,f 640-700,f 640-700,0.94313484,2.5 +4,5,8184,5,2,7,3,33.5,2.5,-0.2,66,Y,-0.1,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,621.0526155,e 580-640,e 580-640,0.94313484,2.5 +10,9,8215,10,1,7,2,37,2.5,1.36,69,Y,1.17,P,2,P,94,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,676.315771,f 640-700,f 640-700,0.94313484,2.5 +,,8243,3,2,7,1,42,2.5,-0.62,64,X,,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,755.263136,g 700+,g 700-760,0.94313484,2.5 +2,2,8311,2,1,3,3,25,2.5,-0.89,68,Y,-0.97,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,486.842095,c 460-520,c 460-520,0.94313484,2.5 +1,1,8356,1,1,3,2,24,2.5,-1.47,69,Y,-1.68,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,471.052622,c 460-520,c 460-520,0.94313484,2.5 +10,3,8397,10,2,7,5,40,2.5,1.77,66,Y,-0.52,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,723.68419,g 700+,g 700-760,0.94313484,2.5 +5,8,8469,5,2,7,4,43,2.5,-0.2,67,Y,0.59,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,771.052609,g 700+,h 760-820,0.94313484,2.5 +1,1,8530,1,1,3,3,27,2.5,-1.35,68,Y,-1.48,P,7,P,94,1,5,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,518.421041,c 460-520,c 460-520,0.94313484,2.5 +6,6,8532,6,2,7,3,38,2.5,0.24,65,Y,0.08,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +5,4,8563,6,1,7,2,33.5,2.5,-0.01,63,Y,-0.52,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.0526155,e 580-640,e 580-640,0.94313484,2.5 +10,10,8630,10,2,7,2,39,2.5,1.88,65,Y,1.59,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,707.894717,g 700+,g 700-760,0.94313484,2.5 +2,2,8721,2,2,7,2,33,2.5,-0.97,63,Y,-1.15,F,2,F,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +4,3,8734,4,1,3,3,18,2.5,-0.3,62,Y,-0.84,P,7,P,94,2,1,-55,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,376.315784,a under 400,a under 400,0.94313484,2.5 +1,5,8768,1,2,7,4,34,2.5,-1.27,47,Y,-0.19,P,7,P,94,1,3,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,628.947352,e 580-640,e 580-640,0.94313484,2.5 +,,8831,,2,7,2,32,2.5,,64,X,,P,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,597.368406,e 580-640,e 580-640,0.94313484,2.5 +2,2,9002,3,2,7,6,29,2.5,-0.73,68,Y,-0.98,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,549.999987,d 520-580,d 520-580,0.94313484,2.5 +2,4,9054,3,2,7,3,31.5,2.5,-0.75,58,Y,-0.33,P,7,P,95,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,589.4736695,e 580-640,e 580-640,0.94313484,2.5 +1,3,9081,1,1,3,2,21,2.5,-1.64,67,Y,-0.67,F,7,F,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,423.684203,b 400-460,b 400-460,0.94313484,2.5 +5,8,9085,6,2,7,3,44,2.5,0.03,62,Y,0.69,P,7,P,94,1,3,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,786.842082,g 700+,h 760-820,0.94313484,2.5 +8,7,9390,8,2,4,1,43,2.5,0.65,68,Y,0.46,P,7,P,94,1,4,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,771.052609,g 700+,h 760-820,0.94313484,2.5 +6,3,9427,6,1,4,3,40,2.5,0.15,69,Y,-0.74,P,2,P,95,1,1,-67,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,9477,,2,7,6,27,2.5,,32,Y,,F,7,P,95,1,3,-25,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,518.421041,c 460-520,c 460-520,0.94313484,2.5 +5,3,9547,5,2,7,3,40,2.5,-0.14,64,Y,-0.73,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,9568,,2,7,,27,2.5,-0.39,62,Y,-1.07,P,2,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,518.421041,c 460-520,c 460-520,0.94313484,2.5 +10,10,9574,10,2,7,3,35.5,2.5,2.29,65,Y,2.24,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,652.6315615,f 640-700,f 640-700,0.94313484,2.5 +2,1,9667,2,1,1,3,32,2.5,-0.97,67,Y,-1.41,P,2,P,95,1,4,-65,female,0,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +5,8,9792,6,2,8,6,37,2.5,0.13,59,Y,0.51,P,7,P,94,1,3,-52,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,1,676.315771,f 640-700,f 640-700,0.94313484,2.5 +8,6,9799,8,2,7,1,43,2.5,0.79,67,Y,0.11,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,771.052609,g 700+,h 760-820,0.94313484,2.5 +1,3,9809,2,2,1,2,32.5,2.5,-1.1,68,Y,-0.84,P,7,P,94,1,3,-61,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,605.2631425,e 580-640,e 580-640,0.94313484,2.5 +9,6,9845,9,1,7,2,34,2.5,1.12,58,Y,0.07,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +,,9892,,1,4,5,40,2.5,,67,Y,,P,7,P,94,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,723.68419,g 700+,g 700-760,0.94313484,2.5 +5,5,9910,5,1,1,2,43,2.5,-0.02,65,Y,-0.21,P,2,P,95,2,3,-63,female,1,0,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,771.052609,g 700+,h 760-820,0.94313484,2.5 +1,1,10003,2,2,7,3,33,2.5,-1.23,68,Y,-1.5,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +8,10,10078,9,2,7,3,41,2.5,0.85,65,Y,1.46,P,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +9,9,10135,9,2,7,3,37,2.5,1.17,66,Y,1.04,P,2,P,94,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +1,1,10183,2,1,3,3,26,2.5,-1.24,63,Y,-1.68,F,7,P,96,1,2,-56,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,502.631568,c 460-520,c 460-520,0.94313484,2.5 +4,2,10225,4,1,2,1,30,2.5,-0.24,67,Y,-1.07,P,7,P,94,1,5,-60,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,565.78946,d 520-580,d 520-580,0.94313484,2.5 +1,1,10261,1,2,3,3,37,2.5,-1.42,64,Y,-2.05,P,7,P,95,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +4,4,10268,5,2,7,3,37,2.5,-0.18,66,Y,-0.49,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +6,5,10281,7,2,7,3,40,2.5,0.29,55,Y,-0.09,P,2,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +1,1,10294,1,2,1,6,28,2.5,-1.34,65,Y,-1.66,F,7,P,96,1,2,-58,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,1,534.210514,d 520-580,d 520-580,0.94313484,2.5 +10,10,10336,10,2,7,4,36.5,2.5,2.13,67,Y,2.21,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,668.4210345,f 640-700,f 640-700,0.94313484,2.5 +1,3,10391,2,2,7,3,36,2.5,-1.3,69,Y,-0.75,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +1,1,10445,1,1,5,4,29.5,2.5,-1.51,67,Y,-2.3,F,7,F,95,1,2,-60,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,557.8947235,d 520-580,d 520-580,0.94313484,2.5 +9,5,10455,9,2,7,3,37,2.5,0.92,67,Y,-0.23,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +1,1,10550,1,1,6,4,28,2.5,-1.85,69,Y,-1.51,F,7,F,95,2,3,-62,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,534.210514,d 520-580,d 520-580,0.94313484,2.5 +2,2,10566,2,1,3,3,37,2.5,-0.96,62,Y,-0.9,P,7,P,94,1,2,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +7,9,10740,7,2,3,3,43,2.5,0.43,67,Y,0.98,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,771.052609,g 700+,h 760-820,0.94313484,2.5 +7,6,10753,8,2,3,3,33,2.5,0.56,60,Y,0.21,P,7,P,95,2,3,-53,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +7,6,10802,7,2,5,5,39,2.5,0.36,63,Y,0.05,P,7,P,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,707.894717,g 700+,g 700-760,0.94313484,2.5 +,,10862,9,2,4,6,25,2.5,0.89,66,Y,,P,7,P,94,1,1,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,486.842095,c 460-520,c 460-520,0.94313484,2.5 +1,1,10879,1,1,3,1,27,2.5,-2.06,69,Y,-1.82,F,7,P,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,518.421041,c 460-520,c 460-520,0.94313484,2.5 +3,3,11017,4,2,2,3,26,2.5,-0.5,64,Y,-0.74,F,2,F,95,1,4,-62,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,502.631568,c 460-520,c 460-520,0.94313484,2.5 +1,1,11053,1,1,6,4,27,2.5,-1.39,67,Y,-1.36,F,7,F,94,1,3,-60,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,5,518.421041,c 460-520,c 460-520,0.94313484,2.5 +4,3,11089,4,2,3,3,29,2.5,-0.29,67,Y,-0.87,P,2,P,95,1,4,-65,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,549.999987,d 520-580,d 520-580,0.94313484,2.5 +10,10,11151,10,2,7,3,39,2.5,2.22,65,Y,2.17,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +,,11169,1,2,3,2,26,2.5,-1.51,63,X,,P,7,P,95,1,1,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,502.631568,c 460-520,c 460-520,0.94313484,2.5 +1,1,11225,1,2,7,3,43,2.5,-1.6,66,Y,-1.85,P,2,P,94,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,771.052609,g 700+,h 760-820,0.94313484,2.5 +3,3,11253,3,1,2,3,28,2.5,-0.59,61,Y,-0.84,P,7,P,94,1,4,-54,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,534.210514,d 520-580,d 520-580,0.94313484,2.5 +8,5,11392,8,2,7,1,45,2.5,0.87,67,Y,-0.11,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.631555,g 700+,h 760-820,0.94313484,2.5 +6,5,11395,6,2,7,3,40,2.5,0.09,58,Y,-0.07,P,7,P,94,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,11421,3,2,4,6,22,2.5,-0.86,64,X,,F,2,F,95,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,439.473676,b 400-460,b 400-460,0.94313484,2.5 +4,2,11541,4,2,7,2,32,2.5,-0.3,66,Y,-1,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,597.368406,e 580-640,e 580-640,0.94313484,2.5 +5,4,11558,5,2,3,6,26,2.5,-0.04,68,Y,-0.43,F,7,F,94,1,5,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,502.631568,c 460-520,c 460-520,0.94313484,2.5 +5,6,11562,5,2,7,3,38,2.5,-0.14,68,Y,0.18,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +7,9,11634,8,2,7,3,35,2.5,0.53,67,Y,0.92,P,2,P,94,1,4,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +5,6,11647,5,1,7,3,39,2.5,-0.1,66,Y,0.04,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,1,11672,1,1,3,3,22.5,2.5,-1.35,68,Y,-1.63,F,2,F,96,1,2,-66,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,447.3684125,b 400-460,b 400-460,0.94313484,2.5 +8,9,11703,8,2,7,3,38,2.5,0.73,66,Y,0.87,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +6,5,11716,7,2,2,6,28,2.5,0.29,57,Y,-0.04,P,2,P,94,1,1,-55,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,1,534.210514,d 520-580,d 520-580,0.94313484,2.5 +6,7,11771,7,2,7,3,36,2.5,0.3,64,Y,0.37,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +3,3,11777,4,2,2,6,24.5,2.5,-0.37,63,Y,-0.69,F,7,F,94,1,1,-56,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,1,478.9473585,c 460-520,c 460-520,0.94313484,2.5 +1,1,11779,1,1,3,1,28,2.5,-2.18,68,Y,-2.5,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,534.210514,d 520-580,d 520-580,0.94313484,2.5 +1,1,11795,1,2,4,2,34,2.5,-1.38,69,Y,-2.18,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +2,2,11838,2,2,2,3,33,2.5,-0.89,69,Y,-1.3,P,7,P,94,1,3,-62,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +5,5,11848,5,2,7,3,35,2.5,-0.04,65,Y,-0.05,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +5,7,11919,6,2,7,6,33,2.5,0.08,67,Y,0.38,F,7,F,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,613.157879,e 580-640,e 580-640,0.94313484,2.5 +1,1,11920,1,2,7,3,39,2.5,-1.63,69,Y,-2.44,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +7,6,11942,7,2,7,2,34,2.5,0.3,68,Y,0.01,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +8,8,12007,8,2,7,3,33.5,2.5,0.75,68,Y,0.66,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,621.0526155,e 580-640,e 580-640,0.94313484,2.5 +4,4,12019,4,1,7,1,41,2.5,-0.26,68,Y,-0.47,P,2,P,95,1,4,-66,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,739.473663,g 700+,g 700-760,0.94313484,2.5 +3,3,12108,4,1,7,3,36.5,2.5,-0.51,60,Y,-0.65,P,2,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,668.4210345,f 640-700,f 640-700,0.94313484,2.5 +5,6,12188,5,1,7,2,36,2.5,-0.05,61,Y,0.02,F,7,P,96,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,660.526298,f 640-700,f 640-700,0.94313484,2.5 +10,10,12300,10,2,7,4,41,2.5,1.54,62,Y,1.45,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,739.473663,g 700+,g 700-760,0.94313484,2.5 +8,10,12354,8,1,7,4,44,2.5,0.84,66,Y,2.36,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,786.842082,g 700+,h 760-820,0.94313484,2.5 +2,2,12450,2,2,3,3,30,2.5,-0.88,65,Y,-0.96,F,2,P,95,1,3,-63,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,565.78946,d 520-580,d 520-580,0.94313484,2.5 +9,8,12500,9,2,7,1,43,2.5,0.95,68,Y,0.67,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,771.052609,g 700+,h 760-820,0.94313484,2.5 +3,5,12508,3,2,7,3,32,2.5,-0.56,67,Y,-0.13,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +7,8,12514,7,1,7,3,34,2.5,0.51,62,Y,0.63,P,7,P,95,2,3,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.947352,e 580-640,e 580-640,0.94313484,2.5 +6,8,12586,6,2,7,3,41,2.5,0.1,69,Y,0.67,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +1,1,12656,1,2,7,3,36,2.5,-1.5,64,Y,-1.84,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +3,4,12859,3,2,3,4,42,2.5,-0.59,65,Y,-0.44,P,7,P,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,755.263136,g 700+,g 700-760,0.94313484,2.5 +1,1,12892,2,2,3,1,28,2.5,-1.17,64,Y,-1.81,P,7,P,94,1,1,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,534.210514,d 520-580,d 520-580,0.94313484,2.5 +9,10,12904,10,2,2,4,33,2.5,1.28,63,Y,1.39,P,7,P,94,1,3,-56,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,613.157879,e 580-640,e 580-640,0.94313484,2.5 +1,1,12916,1,1,3,1,20.5,2.5,-2.42,66,Y,-2.12,P,7,P,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,415.7894665,b 400-460,b 400-460,0.94313484,2.5 +3,4,13019,4,2,3,1,47,2.5,-0.47,69,Y,-0.49,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,834.210501,g 700+,i 820+,0.94313484,2.5 +2,4,13092,3,2,3,6,30,2.5,-0.69,61,Y,-0.33,P,7,P,94,1,3,-54,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,565.78946,d 520-580,d 520-580,0.94313484,2.5 +5,6,13117,5,2,7,2,34,2.5,-0.07,65,Y,-0.04,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +6,4,13118,6,2,7,4,42,2.5,0.2,62,Y,-0.48,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,755.263136,g 700+,g 700-760,0.94313484,2.5 +5,6,13146,5,2,7,2,34,2.5,-0.1,65,Y,0.14,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +2,4,13157,2,2,7,1,40,2.5,-0.97,66,Y,-0.51,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.68419,g 700+,g 700-760,0.94313484,2.5 +2,5,13374,3,2,7,1,47,2.5,-0.76,59,Y,-0.26,P,7,P,95,2,2,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,834.210501,g 700+,i 820+,0.94313484,2.5 +4,4,13603,4,2,7,3,39,2.5,-0.31,66,Y,-0.38,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +7,6,13686,7,1,1,3,28,2.5,0.37,62,Y,0.05,F,7,P,95,1,1,-55,female,0,0,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,3,534.210514,d 520-580,d 520-580,0.94313484,2.5 +8,7,13774,9,2,7,2,39,2.5,0.83,64,Y,0.38,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,707.894717,g 700+,g 700-760,0.94313484,2.5 +2,2,13792,3,1,3,1,38,2.5,-0.76,63,Y,-1.21,P,2,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,692.105244,f 640-700,f 640-700,0.94313484,2.5 +4,3,13796,5,2,7,4,39,2.5,-0.23,66,Y,-0.55,P,7,P,95,2,4,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,707.894717,g 700+,g 700-760,0.94313484,2.5 +9,7,13822,9,2,7,2,30,2.5,1.04,68,Y,0.39,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,565.78946,d 520-580,d 520-580,0.94313484,2.5 +9,9,13844,9,1,7,3,39,2.5,1.15,63,Y,1.08,P,2,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +,,13867,,2,3,1,35,2.5,,61,Y,-1.36,P,2,P,95,2,3,-59,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,644.736825,f 640-700,f 640-700,0.94313484,2.5 +7,5,13904,7,2,7,3,32.5,2.5,0.39,66,Y,-0.16,P,7,P,94,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.2631425,e 580-640,e 580-640,0.94313484,2.5 +2,3,13975,2,2,7,3,38,2.5,-0.91,68,Y,-0.81,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +2,1,13995,2,1,3,4,29,2.5,-1.09,56,Y,-1.38,P,2,P,95,2,3,-54,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,549.999987,d 520-580,d 520-580,0.94313484,2.5 +3,3,14134,4,1,3,6,25,2.5,-0.36,63,Y,-0.74,P,7,P,94,1,4,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,486.842095,c 460-520,c 460-520,0.94313484,2.5 +2,2,14198,2,2,7,1,27,2.5,-0.91,61,Y,-0.95,F,2,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,518.421041,c 460-520,c 460-520,0.94313484,2.5 +2,2,14347,2,2,4,1,34,2.5,-0.97,67,Y,-1.18,F,7,P,96,1,,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,628.947352,e 580-640,e 580-640,0.94313484,2.5 +3,3,14378,4,2,7,3,37,2.5,-0.49,68,Y,-0.83,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,2,14413,2,2,7,4,40,2.5,-0.82,68,Y,-1.1,P,2,P,94,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,723.68419,g 700+,g 700-760,0.94313484,2.5 +8,8,14420,8,2,7,1,37,2.5,0.87,64,Y,0.76,P,2,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,676.315771,f 640-700,f 640-700,0.94313484,2.5 +8,7,14555,8,2,7,4,28,2.5,0.61,43,Y,0.51,F,2,P,95,2,3,-41,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,534.210514,d 520-580,d 520-580,0.94313484,2.5 +3,4,14557,3,2,7,2,33,2.5,-0.64,67,Y,-0.46,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +5,4,14655,6,2,7,6,31,2.5,0.08,65,Y,-0.4,F,7,P,95,1,1,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,581.578933,e 580-640,e 580-640,0.94313484,2.5 +2,2,14723,3,2,3,6,17.5,2.5,-0.6,67,Y,-1.02,F,2,F,95,1,4,-65,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,368.4210475,a under 400,a under 400,0.94313484,2.5 +4,3,14735,4,2,7,1,46,2.5,-0.27,64,Y,-0.76,P,7,P,93,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,818.421028,g 700+,h 760-820,0.94313484,2.5 +3,2,14747,3,2,7,4,43,2.5,-0.74,68,Y,-0.96,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,771.052609,g 700+,h 760-820,0.94313484,2.5 +1,1,14787,1,2,3,3,20,2.5,-2.58,68,Y,-2.44,P,7,P,94,1,5,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,407.89473,b 400-460,b 400-460,0.94313484,2.5 +3,3,14817,3,2,7,1,42,2.5,-0.69,65,Y,-0.79,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,755.263136,g 700+,g 700-760,0.94313484,2.5 +8,9,14828,8,2,7,3,34.5,2.5,0.75,61,Y,1.02,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,636.8420885,e 580-640,e 580-640,0.94313484,2.5 +10,10,14897,10,2,7,3,39,2.5,1.7,68,Y,1.52,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +6,4,14909,6,1,3,1,29,2.5,0.17,67,Y,-0.26,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,549.999987,d 520-580,d 520-580,0.94313484,2.5 +3,3,15010,4,2,7,3,41,2.5,-0.51,69,Y,-0.7,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +4,5,15061,5,2,7,3,35,2.5,-0.2,69,Y,-0.08,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +,,15143,,1,7,1,35,2.5,,57,Y,,F,7,P,95,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,644.736825,f 640-700,f 640-700,0.94313484,2.5 +3,1,15177,3,2,7,1,40,2.5,-0.71,67,Y,-1.68,P,7,P,95,1,2,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,723.68419,g 700+,g 700-760,0.94313484,2.5 +6,5,15267,6,1,7,3,36,2.5,0.08,46,Y,-0.04,P,7,P,94,1,3,-39,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +1,1,15306,1,2,7,3,26.5,2.5,-1.65,67,Y,-1.56,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,510.5263045,c 460-520,c 460-520,0.94313484,2.5 +1,1,15347,1,1,3,1,25.5,2.5,-1.76,67,Y,-1.59,F,7,P,95,1,4,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,494.7368315,c 460-520,c 460-520,0.94313484,2.5 +1,1,15434,2,1,3,1,32,2.5,-1.15,63,Y,-1.92,F,7,P,95,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,597.368406,e 580-640,e 580-640,0.94313484,2.5 +3,2,15448,4,2,7,3,32.5,2.5,-0.47,49,Y,-1.31,P,2,P,96,2,4,-47,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.2631425,e 580-640,e 580-640,0.94313484,2.5 +8,8,15480,8,2,7,3,36,2.5,0.75,60,Y,0.65,P,2,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +5,5,15518,5,2,7,3,36,2.5,-0.11,60,Y,-0.16,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +4,3,15529,4,2,7,3,37,2.5,-0.29,65,Y,-0.6,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +1,1,15624,2,1,3,3,21,2.5,-1.13,69,Y,-1.88,P,7,P,95,2,3,-62,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,423.684203,b 400-460,b 400-460,0.94313484,2.5 +1,2,15630,1,2,3,2,25,2.5,-1.33,68,Y,-0.97,F,7,P,95,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,486.842095,c 460-520,c 460-520,0.94313484,2.5 +8,9,15642,8,1,7,1,38.5,2.5,0.78,64,Y,1.24,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,699.9999805,f 640-700,f 640-700,0.94313484,2.5 +2,2,15650,2,1,7,1,43,2.5,-0.87,67,Y,-1.01,P,7,P,94,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,771.052609,g 700+,h 760-820,0.94313484,2.5 +3,2,15792,3,2,7,3,37,2.5,-0.56,68,Y,-1.05,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +1,1,15799,1,1,6,3,17.5,2.5,-1.53,69,Y,-1.65,F,7,F,94,1,3,-62,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,368.4210475,a under 400,a under 400,0.94313484,2.5 +4,5,15807,5,1,7,3,39,2.5,-0.18,68,Y,-0.25,P,7,P,94,1,3,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +3,6,15808,3,2,3,1,42,2.5,-0.63,68,Y,0.25,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,755.263136,g 700+,g 700-760,0.94313484,2.5 +1,1,15855,1,2,7,3,40,2.5,-1.39,69,Y,-1.9,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +4,5,15876,4,2,7,3,37,2.5,-0.37,65,Y,-0.18,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +4,3,15893,5,1,3,6,29,2.5,-0.25,64,Y,-0.72,F,2,F,95,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,549.999987,d 520-580,d 520-580,0.94313484,2.5 +1,1,15925,1,1,2,3,33,2.5,-1.6,68,Y,-1.37,P,7,P,94,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +4,4,15938,5,1,3,2,27,2.5,-0.27,57,Y,-0.36,P,7,P,94,1,1,-50,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,518.421041,c 460-520,c 460-520,0.94313484,2.5 +,,15956,,2,7,3,35,2.5,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +7,7,15966,7,2,7,3,40,2.5,0.48,69,Y,0.29,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +9,9,16072,9,1,7,2,34,2.5,0.85,69,Y,1.26,P,7,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +6,4,16080,6,2,7,4,39,2.5,0.2,62,Y,-0.47,P,2,P,95,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,3,16130,2,1,3,3,34.5,2.5,-1.3,69,Y,-0.73,F,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,636.8420885,e 580-640,e 580-640,0.94313484,2.5 +6,3,16204,7,2,7,3,30,2.5,0.3,69,Y,-0.82,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,565.78946,d 520-580,d 520-580,0.94313484,2.5 +,,16235,,2,,3,46,2.5,-1.39,68,Y,-2.01,P,2,P,95,1,4,-66,male,0,1,,,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,818.421028,g 700+,h 760-820,0.94313484,2.5 +1,2,16424,1,2,7,1,27,2.5,-1.32,68,Y,-1.08,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,518.421041,c 460-520,c 460-520,0.94313484,2.5 +7,7,16436,7,2,7,2,33,2.5,0.45,65,Y,0.45,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +2,1,16458,2,1,3,3,32,2.5,-0.97,68,Y,-1.42,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +,,16483,,2,7,1,37,2.5,,61,Y,-0.24,P,7,P,94,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,676.315771,f 640-700,f 640-700,0.94313484,2.5 +4,4,16536,4,1,4,4,33,2.5,-0.37,65,Y,-0.31,P,7,P,94,1,2,-58,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,613.157879,e 580-640,e 580-640,0.94313484,2.5 +6,4,16570,7,2,7,3,34,2.5,0.25,69,Y,-0.53,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.947352,e 580-640,e 580-640,0.94313484,2.5 +3,2,16638,3,2,3,1,34,2.5,-0.61,68,Y,-1.15,P,7,P,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,628.947352,e 580-640,e 580-640,0.94313484,2.5 +5,7,16687,6,2,7,3,37,2.5,-0.01,61,Y,0.51,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +1,1,16718,2,1,2,3,28,2.5,-1.26,68,Y,-1.9,F,7,F,94,1,4,-61,female,0,0,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,3,534.210514,d 520-580,d 520-580,0.94313484,2.5 +7,2,16721,7,2,7,4,29.7,2.5,0.35,67,Y,-0.93,P,7,P,94,2,4,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,561.0526181,d 520-580,d 520-580,0.94313484,2.5 +1,1,16740,1,1,6,1,32,2.5,-1.6,67,Y,-2.65,P,7,P,94,1,1,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,597.368406,e 580-640,e 580-640,0.94313484,2.5 +5,5,16785,6,2,7,3,35,2.5,0.02,67,Y,-0.02,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +1,1,16829,1,1,3,3,27,2.5,-2.18,58,Y,-2.19,P,2,P,95,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,518.421041,c 460-520,c 460-520,0.94313484,2.5 +4,6,16987,5,2,7,2,36,2.5,-0.21,66,Y,0.13,F,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,660.526298,f 640-700,f 640-700,0.94313484,2.5 +1,1,16995,1,2,8,3,34,2.5,-1.57,64,Y,-1.58,F,7,F,94,1,2,-57,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,628.947352,e 580-640,e 580-640,0.94313484,2.5 +,,17226,2,2,7,3,37,2.5,-0.97,44,X,,F,7,F,95,1,4,-37,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,1,17319,2,2,6,3,31,2.5,-1.09,69,Y,-1.34,F,7,P,95,1,4,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,581.578933,e 580-640,e 580-640,0.94313484,2.5 +10,9,17365,10,2,7,3,41,2.5,1.34,69,Y,1.03,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +5,2,17417,5,2,1,2,26,2.5,-0.08,68,Y,-1.02,P,2,P,95,2,5,-66,male,1,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,2,502.631568,c 460-520,c 460-520,0.94313484,2.5 +3,4,17517,4,2,7,3,40,2.5,-0.5,67,Y,-0.36,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +1,2,17520,2,2,7,2,36,2.5,-1.13,68,Y,-0.95,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,660.526298,f 640-700,f 640-700,0.94313484,2.5 +,,17543,7,2,7,1,35,2.5,0.42,56,Y,,P,2,P,95,1,2,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,644.736825,f 640-700,f 640-700,0.94313484,2.5 +,,17559,1,2,7,4,35,2.5,-1.63,65,Y,,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,644.736825,f 640-700,f 640-700,0.94313484,2.5 +6,5,17580,6,1,7,3,39,2.5,0.16,65,Y,-0.16,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +5,2,17587,5,2,4,3,34,2.5,-0.16,62,Y,-1.17,P,7,P,95,2,3,-55,male,1,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.947352,e 580-640,e 580-640,0.94313484,2.5 +7,6,17602,8,2,7,1,31,2.5,0.6,67,Y,0.18,P,2,P,95,2,2,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,581.578933,e 580-640,e 580-640,0.94313484,2.5 +1,2,17647,1,1,3,3,30,2.5,-1.72,67,Y,-1.21,F,7,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,565.78946,d 520-580,d 520-580,0.94313484,2.5 +4,1,17675,5,2,7,1,45,2.5,-0.22,67,Y,-1.72,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,802.631555,g 700+,h 760-820,0.94313484,2.5 +3,4,17813,4,1,7,2,34,2.5,-0.46,63,Y,-0.55,P,7,P,94,1,2,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +2,3,17829,3,2,7,1,32,2.5,-0.78,66,Y,-0.8,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,597.368406,e 580-640,e 580-640,0.94313484,2.5 +3,4,17917,4,2,7,3,42,2.5,-0.43,62,Y,-0.46,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,755.263136,g 700+,g 700-760,0.94313484,2.5 +7,4,17994,7,1,4,6,25,2.5,0.53,63,Y,-0.44,P,7,P,94,1,2,-56,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,486.842095,c 460-520,c 460-520,0.94313484,2.5 +5,1,18049,6,2,7,3,43,2.5,0.05,68,Y,-1.53,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,771.052609,g 700+,h 760-820,0.94313484,2.5 +3,2,18115,3,2,7,3,33,2.5,-0.67,67,Y,-1.27,P,7,P,95,2,5,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +8,3,18181,8,2,7,3,32,2.5,0.59,67,Y,-0.64,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +9,8,18201,9,1,7,3,40,2.5,0.87,55,Y,0.68,P,2,P,95,2,4,-53,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +5,5,18494,6,1,7,3,32.5,2.5,0.02,55,Y,-0.09,P,7,P,94,1,3,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.2631425,e 580-640,e 580-640,0.94313484,2.5 +9,9,18501,9,2,7,3,42,2.5,0.97,55,Y,0.92,P,7,P,94,1,2,-48,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,755.263136,g 700+,g 700-760,0.94313484,2.5 +10,6,18522,10,2,7,5,41,2.5,2.58,64,Y,0.06,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,739.473663,g 700+,g 700-760,0.94313484,2.5 +1,1,18731,2,1,3,4,29,2.5,-1.26,68,Y,-1.54,F,7,P,95,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,549.999987,d 520-580,d 520-580,0.94313484,2.5 +9,9,18822,9,1,7,3,28,2.5,0.94,68,Y,1,P,7,P,94,2,4,-61,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,534.210514,d 520-580,d 520-580,0.94313484,2.5 +9,7,18849,9,2,7,3,41,2.5,1.15,66,Y,0.51,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +6,6,18871,6,1,3,1,34,2.5,0.12,59,Y,0.28,P,7,P,94,1,3,-52,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,628.947352,e 580-640,e 580-640,0.94313484,2.5 +2,2,19037,2,1,7,2,34,2.5,-1.02,65,Y,-1.06,F,7,P,95,1,2,-58,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +8,9,19057,8,2,7,4,35.5,2.5,0.85,64,Y,0.94,P,7,P,95,2,4,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,652.6315615,f 640-700,f 640-700,0.94313484,2.5 +6,5,19063,6,1,7,3,32.5,2.5,0.24,58,Y,-0.05,P,7,P,94,1,5,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,605.2631425,e 580-640,e 580-640,0.94313484,2.5 +7,7,19066,7,2,7,4,36,2.5,0.43,67,Y,0.38,P,7,P,94,2,5,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,660.526298,f 640-700,f 640-700,0.94313484,2.5 +1,3,19233,2,2,7,2,34,2.5,-1.1,67,Y,-0.71,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +2,1,19274,2,2,8,4,35,2.5,-1.08,64,Y,-1.74,F,7,P,95,1,2,-57,male,0,1,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,644.736825,f 640-700,f 640-700,0.94313484,2.5 +1,1,19347,1,2,3,3,29,2.5,-2.22,58,Y,-1.89,F,7,P,96,1,3,-51,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,549.999987,d 520-580,d 520-580,0.94313484,2.5 +1,3,19517,1,2,7,2,28.5,2.5,-1.44,68,Y,-0.78,F,7,F,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,542.1052505,d 520-580,d 520-580,0.94313484,2.5 +9,5,19659,9,2,2,1,32,2.5,0.93,67,Y,-0.06,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,4,597.368406,e 580-640,e 580-640,0.94313484,2.5 +3,5,19767,3,2,2,3,41,2.5,-0.53,67,Y,-0.05,P,7,P,94,1,4,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +6,7,20007,6,2,4,4,35,2.5,0.19,63,Y,0.29,P,7,P,94,1,2,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,644.736825,f 640-700,f 640-700,0.94313484,2.5 +1,1,20046,1,2,7,1,36,2.5,-1.4,58,Y,-1.83,P,7,P,93,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,660.526298,f 640-700,f 640-700,0.94313484,2.5 +3,5,20106,4,2,7,2,33.5,2.5,-0.43,66,Y,-0.12,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,621.0526155,e 580-640,e 580-640,0.94313484,2.5 +10,10,20193,10,2,7,3,41,2.5,1.39,66,Y,1.6,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +10,10,20208,10,2,7,3,39,2.5,1.61,69,Y,1.49,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +3,2,20240,3,1,3,3,33,2.5,-0.67,64,Y,-1.13,P,7,P,94,1,4,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +2,2,20356,2,2,3,2,17,2.5,-1,68,Y,-0.97,F,2,F,95,1,3,-66,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,360.526311,a under 400,a under 400,0.94313484,2.5 +4,4,20415,4,1,7,3,42,2.5,-0.41,64,Y,-0.46,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,755.263136,g 700+,g 700-760,0.94313484,2.5 +4,4,20490,4,2,7,2,34,2.5,-0.3,56,Y,-0.38,F,7,P,95,1,2,-49,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,628.947352,e 580-640,e 580-640,0.94313484,2.5 +4,1,20495,5,1,7,3,41,2.5,-0.24,66,Y,-1.4,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +3,3,20514,4,1,2,2,40,2.5,-0.47,69,Y,-0.78,F,7,P,95,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,2,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,20563,,1,7,,25,2.5,0.25,49,Y,-0.45,F,7,P,95,2,4,-42,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,,486.842095,c 460-520,c 460-520,0.94313484,2.5 +1,1,20652,1,1,5,3,22,2.5,-1.6,68,Y,-1.78,F,7,F,94,1,4,-61,female,0,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,439.473676,b 400-460,b 400-460,0.94313484,2.5 +1,1,20656,2,1,7,2,33,2.5,-1.26,69,Y,-1.36,F,2,P,95,1,4,-67,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,613.157879,e 580-640,e 580-640,0.94313484,2.5 +1,1,20666,1,2,3,3,32,2.5,-1.59,63,Y,-2.46,F,7,F,95,2,3,-56,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +1,1,20711,1,2,1,1,22.7,2.5,-1.34,64,Y,-1.56,F,7,P,95,1,3,-57,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,4,450.5263071,b 400-460,b 400-460,0.94313484,2.5 +4,7,20771,4,2,7,4,39,2.5,-0.29,65,Y,0.34,P,7,P,95,2,5,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,2,20772,1,2,3,1,38,2.5,-1.81,68,Y,-1.3,P,7,P,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,692.105244,f 640-700,f 640-700,0.94313484,2.5 +1,1,20937,1,2,7,3,36,2.5,-1.65,69,Y,-2.22,F,6,P,95,1,3,-63,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +9,5,21066,9,2,7,3,35,2.5,1.06,68,Y,-0.07,P,2,P,95,2,4,-66,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +8,6,21152,8,1,2,3,35,2.5,0.58,65,Y,0.13,P,7,P,94,1,3,-58,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +1,1,21162,1,2,3,3,22,2.5,-1.64,67,Y,-2.05,F,7,F,94,1,1,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,439.473676,b 400-460,b 400-460,0.94313484,2.5 +1,3,21175,1,1,7,3,39,2.5,-1.58,63,Y,-0.79,F,2,F,96,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,1,21184,1,1,3,3,34,2.5,-1.82,64,Y,-1.76,F,7,F,94,1,4,-57,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,628.947352,e 580-640,e 580-640,0.94313484,2.5 +10,5,21292,10,2,7,4,37,2.5,1.52,67,Y,-0.11,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,676.315771,f 640-700,f 640-700,0.94313484,2.5 +5,4,21408,5,2,3,1,31,2.5,-0.07,59,Y,-0.36,P,7,P,94,1,3,-52,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,581.578933,e 580-640,e 580-640,0.94313484,2.5 +3,3,21410,3,2,3,6,27,2.5,-0.58,68,Y,-0.86,F,7,F,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,518.421041,c 460-520,c 460-520,0.94313484,2.5 +6,7,21415,7,2,7,2,40,2.5,0.28,68,Y,0.46,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,723.68419,g 700+,g 700-760,0.94313484,2.5 +2,2,21495,2,1,3,4,35,2.5,-1.01,66,Y,-1.28,P,7,P,95,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,644.736825,f 640-700,f 640-700,0.94313484,2.5 +3,4,21538,3,2,7,3,32,2.5,-0.67,65,Y,-0.42,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +4,2,21617,5,2,7,3,40,2.5,-0.24,66,Y,-1,P,7,P,95,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +1,1,21742,1,2,1,1,24,2.5,-2.41,63,Y,-1.99,F,7,P,95,1,3,-56,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,4,471.052622,c 460-520,c 460-520,0.94313484,2.5 +4,3,21759,4,2,7,1,39,2.5,-0.31,53,Y,-0.73,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,707.894717,g 700+,g 700-760,0.94313484,2.5 +10,10,21843,10,2,7,3,38,2.5,2.1,63,Y,1.48,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +1,1,21856,1,2,7,3,36,2.5,-1.39,60,Y,-1.33,P,7,P,94,1,2,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +7,7,21937,7,1,7,3,36,2.5,0.41,65,Y,0.32,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +6,7,22031,6,2,7,4,37,2.5,0.09,69,Y,0.48,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,676.315771,f 640-700,f 640-700,0.94313484,2.5 +5,4,22075,6,2,7,3,42,2.5,0,69,Y,-0.37,P,2,P,95,1,5,-67,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,755.263136,g 700+,g 700-760,0.94313484,2.5 +1,1,22151,1,2,3,4,37,2.5,-1.45,68,Y,-1.85,F,7,P,95,1,1,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,1,22187,2,2,3,1,23,2.5,-0.97,67,Y,-1.81,P,7,P,94,1,4,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,455.263149,b 400-460,b 400-460,0.94313484,2.5 +1,4,22229,1,2,8,3,30.5,2.5,-1.48,55,Y,-0.33,P,7,P,94,1,4,-48,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,573.6841965,d 520-580,d 520-580,0.94313484,2.5 +3,5,22285,4,2,7,2,28,2.5,-0.52,67,Y,-0.22,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,534.210514,d 520-580,d 520-580,0.94313484,2.5 +3,3,22303,3,2,7,3,36,2.5,-0.59,67,Y,-0.61,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +9,5,22340,9,2,7,3,34,2.5,0.89,65,Y,-0.22,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,628.947352,e 580-640,e 580-640,0.94313484,2.5 +10,3,22459,10,1,7,3,27.3,2.5,1.34,64,Y,-0.76,F,7,P,95,2,2,-57,female,1,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,523.1578829,d 520-580,d 520-580,0.94313484,2.5 +7,7,22462,8,1,5,3,32,2.5,0.53,57,Y,0.43,P,7,P,94,1,3,-50,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,597.368406,e 580-640,e 580-640,0.94313484,2.5 +7,7,22467,7,1,7,3,35,2.5,0.51,63,Y,0.52,F,7,F,95,2,4,-56,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +1,3,22503,2,1,7,4,42,2.5,-1.22,66,Y,-0.8,F,7,P,95,1,2,-59,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,755.263136,g 700+,g 700-760,0.94313484,2.5 +7,8,22509,8,2,7,1,41,2.5,0.58,68,Y,0.57,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,739.473663,g 700+,g 700-760,0.94313484,2.5 +5,7,22515,6,2,7,2,31,2.5,0.01,62,Y,0.35,P,2,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,581.578933,e 580-640,e 580-640,0.94313484,2.5 +1,1,22853,1,2,2,3,38,2.5,-1.86,68,Y,-1.38,P,7,P,94,1,4,-61,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +4,5,22860,5,1,7,3,35,2.5,-0.22,53,Y,-0.25,F,7,P,95,1,4,-46,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +10,8,22872,10,2,7,6,34,2.5,1.91,65,Y,0.77,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,628.947352,e 580-640,e 580-640,0.94313484,2.5 +1,2,22905,2,1,3,2,23,2.5,-1.27,66,Y,-0.97,F,7,P,95,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,455.263149,b 400-460,b 400-460,0.94313484,2.5 +7,5,22974,7,1,3,6,26,2.5,0.4,70,Y,-0.08,P,7,P,94,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,502.631568,c 460-520,c 460-520,0.94313484,2.5 +1,2,23035,2,1,2,2,28,2.5,-1.2,67,Y,-0.98,F,7,P,95,1,3,-60,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,2,534.210514,d 520-580,d 520-580,0.94313484,2.5 +4,3,23257,5,1,7,3,35.5,2.5,-0.24,68,Y,-0.65,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,652.6315615,f 640-700,f 640-700,0.94313484,2.5 +1,1,23274,1,1,3,1,27,2.5,-2.08,65,Y,-2.12,F,7,P,95,1,3,-58,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,518.421041,c 460-520,c 460-520,0.94313484,2.5 +6,5,23278,6,1,7,1,42,2.5,0.18,67,Y,-0.08,P,7,P,94,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,755.263136,g 700+,g 700-760,0.94313484,2.5 +10,9,23280,10,1,7,3,39,2.5,1.36,64,Y,1.31,P,7,P,94,1,3,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,2,23284,1,1,7,2,29,2.5,-1.32,62,Y,-1.23,F,7,P,95,1,3,-55,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,549.999987,d 520-580,d 520-580,0.94313484,2.5 +1,1,23287,1,1,3,3,27,2.5,-1.68,68,Y,-1.64,F,7,F,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,518.421041,c 460-520,c 460-520,0.94313484,2.5 +4,3,23490,4,2,7,1,30,2.5,-0.32,47,Y,-0.85,P,7,P,94,1,3,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,565.78946,d 520-580,d 520-580,0.94313484,2.5 +2,2,23505,3,2,7,3,28.5,2.5,-0.76,65,Y,-1.1,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,542.1052505,d 520-580,d 520-580,0.94313484,2.5 +10,10,23531,10,2,7,1,42,2.5,1.63,68,Y,1.58,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,755.263136,g 700+,g 700-760,0.94313484,2.5 +4,3,23561,5,2,7,3,39,2.5,-0.21,69,Y,-0.85,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +,,23594,,2,7,1,46,2.5,,63,Y,,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,818.421028,g 700+,h 760-820,0.94313484,2.5 +3,4,23748,4,2,7,1,38,2.5,-0.44,42,Y,-0.26,P,2,P,95,2,3,-40,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,692.105244,f 640-700,f 640-700,0.94313484,2.5 +8,6,23759,8,2,3,6,26,2.5,0.71,67,Y,0.08,F,7,F,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,502.631568,c 460-520,c 460-520,0.94313484,2.5 +6,3,23765,6,2,7,4,38.5,2.5,0.12,65,Y,-0.61,P,7,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,699.9999805,f 640-700,f 640-700,0.94313484,2.5 +1,1,23787,2,2,7,3,35,2.5,-1.23,44,Y,-1.54,F,7,P,95,1,3,-37,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +7,5,24109,7,2,7,1,43,2.5,0.33,66,Y,-0.23,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,771.052609,g 700+,h 760-820,0.94313484,2.5 +2,2,24208,3,2,7,3,37,2.5,-0.8,69,Y,-1.2,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,4,24211,3,2,7,2,32,2.5,-0.86,63,Y,-0.45,F,7,P,96,2,4,-56,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,597.368406,e 580-640,e 580-640,0.94313484,2.5 +1,1,24299,1,2,3,1,26,2.5,-3.01,61,Y,-2.97,F,2,F,95,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,502.631568,c 460-520,c 460-520,0.94313484,2.5 +1,1,24405,1,1,3,3,28,2.5,-2.43,68,Y,-2.33,P,7,P,95,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,534.210514,d 520-580,d 520-580,0.94313484,2.5 +6,5,24469,7,2,7,3,29.3,2.5,0.28,65,Y,-0.11,P,7,P,94,2,5,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,554.7368289,d 520-580,d 520-580,0.94313484,2.5 +2,1,24478,2,2,7,3,33.5,2.5,-0.91,67,Y,-1.93,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,621.0526155,e 580-640,e 580-640,0.94313484,2.5 +9,8,24489,9,1,7,3,33,2.5,0.98,68,Y,0.86,P,7,P,94,1,5,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,613.157879,e 580-640,e 580-640,0.94313484,2.5 +1,1,24550,1,2,5,4,41,2.5,-1.6,69,Y,-1.79,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,739.473663,g 700+,g 700-760,0.94313484,2.5 +9,9,24552,9,1,7,1,29,2.5,1.02,57,Y,1.12,P,7,P,94,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,549.999987,d 520-580,d 520-580,0.94313484,2.5 +6,8,24559,6,2,7,4,40,2.5,0.12,68,Y,0.74,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,723.68419,g 700+,g 700-760,0.94313484,2.5 +10,10,24611,10,2,7,3,38,2.5,1.76,69,Y,1.41,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +7,9,24662,7,2,7,3,41,2.5,0.33,64,Y,1.09,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +1,1,24775,2,2,7,3,36.3,2.5,-1.22,66,Y,-1.6,F,7,F,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,665.2631399,f 640-700,f 640-700,0.94313484,2.5 +1,1,24972,1,1,7,3,30,2.5,-1.51,54,Y,-1.7,F,7,P,95,1,4,-47,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,565.78946,d 520-580,d 520-580,0.94313484,2.5 +2,3,25077,3,2,3,1,40,2.5,-0.78,69,Y,-0.78,P,7,P,94,1,1,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,723.68419,g 700+,g 700-760,0.94313484,2.5 +3,4,25085,3,2,7,3,26,2.5,-0.69,68,Y,-0.44,P,2,P,95,1,4,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,502.631568,c 460-520,c 460-520,0.94313484,2.5 +6,5,25098,6,2,7,4,34,2.5,0.12,65,Y,-0.14,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,628.947352,e 580-640,e 580-640,0.94313484,2.5 +9,9,25132,9,2,7,3,38,2.5,1.11,67,Y,0.98,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +6,7,25149,7,2,7,3,38,2.5,0.3,61,Y,0.51,P,2,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +2,2,25211,2,2,7,3,36,2.5,-1.1,69,Y,-1.27,F,7,F,95,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,660.526298,f 640-700,f 640-700,0.94313484,2.5 +6,6,25212,6,2,7,2,36,2.5,0.13,52,Y,0.18,P,7,P,94,1,4,-45,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,660.526298,f 640-700,f 640-700,0.94313484,2.5 +4,2,25232,4,1,8,4,37,2.5,-0.43,60,Y,-0.93,F,7,P,96,1,3,-53,female,0,0,other,c other,NO,1,0,0,0,1,b Passed 2nd time,TRUE,5,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,1,25241,2,2,7,3,38,2.5,-0.84,67,Y,-1.58,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,692.105244,f 640-700,f 640-700,0.94313484,2.5 +4,3,25336,5,2,7,2,24,2.5,-0.3,66,Y,-0.71,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,471.052622,c 460-520,c 460-520,0.94313484,2.5 +8,6,25343,8,2,8,3,47,2.5,0.59,62,Y,0.2,P,7,P,94,1,4,-55,male,0,1,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,3,834.210501,g 700+,i 820+,0.94313484,2.5 +6,6,25364,6,2,6,3,37,2.5,0.23,69,Y,0.15,P,7,P,94,1,5,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +,,25560,,1,7,4,39,2.5,,54,Y,,F,7,F,95,2,2,-47,female,1,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,707.894717,g 700+,g 700-760,0.94313484,2.5 +4,1,25583,4,2,7,3,41,2.5,-0.32,66,Y,-2.08,P,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +,,25588,2,1,7,3,39,2.5,-1.01,62,Y,,F,2,P,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,4,25600,1,2,3,6,32,2.5,-2.93,69,Y,-0.51,P,2,P,96,1,5,-67,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,597.368406,e 580-640,e 580-640,0.94313484,2.5 +2,2,25622,2,1,2,4,30,2.5,-0.93,69,Y,-1.27,F,7,P,95,1,3,-62,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,565.78946,d 520-580,d 520-580,0.94313484,2.5 +3,3,25651,4,1,7,2,32,2.5,-0.52,69,Y,-0.81,P,2,P,94,1,5,-67,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,597.368406,e 580-640,e 580-640,0.94313484,2.5 +6,3,25671,6,2,7,3,37,2.5,0.14,63,Y,-0.73,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,676.315771,f 640-700,f 640-700,0.94313484,2.5 +2,1,25699,2,2,8,3,41,2.5,-0.89,63,Y,-1.46,F,2,F,96,1,3,-61,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +4,5,25701,4,2,7,2,29,2.5,-0.39,66,Y,-0.23,P,2,P,94,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,549.999987,d 520-580,d 520-580,0.94313484,2.5 +1,1,25704,2,2,4,6,23,2.5,-1.12,63,Y,-1.6,F,7,F,95,1,1,-56,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,455.263149,b 400-460,b 400-460,0.94313484,2.5 +1,1,25706,1,1,3,3,29,2.5,-2.01,66,Y,-2.23,F,2,P,95,1,4,-64,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,549.999987,d 520-580,d 520-580,0.94313484,2.5 +2,3,25865,2,1,7,2,31,2.5,-0.92,52,Y,-0.78,P,2,P,95,1,3,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,581.578933,e 580-640,e 580-640,0.94313484,2.5 +1,1,25867,1,2,7,3,40,2.5,-1.3,63,Y,-1.34,F,7,F,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +3,4,25882,4,2,7,2,31.5,2.5,-0.44,67,Y,-0.58,P,7,P,94,1,,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,589.4736695,e 580-640,e 580-640,0.94313484,2.5 +3,1,25918,4,2,7,2,31,2.5,-0.53,64,Y,-1.5,P,7,P,95,1,2,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,581.578933,e 580-640,e 580-640,0.94313484,2.5 +9,10,25923,9,2,7,2,37,2.5,1.19,60,Y,1.39,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,676.315771,f 640-700,f 640-700,0.94313484,2.5 +8,8,26016,8,2,2,3,39,2.5,0.79,65,Y,0.81,P,7,P,94,1,2,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,707.894717,g 700+,g 700-760,0.94313484,2.5 +1,2,26068,1,2,7,2,32,2.5,-1.41,62,Y,-1.19,P,2,P,95,2,2,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,597.368406,e 580-640,e 580-640,0.94313484,2.5 +5,4,26084,5,2,7,3,40,2.5,-0.12,66,Y,-0.48,P,2,P,95,2,4,-64,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,723.68419,g 700+,g 700-760,0.94313484,2.5 +,,26085,,1,8,,30,2.5,0.55,67,Y,0.25,P,7,P,94,2,5,-60,female,1,0,other,c other,NO,1,0,0,0,1,a Passed 1st time,TRUE,,565.78946,d 520-580,d 520-580,0.94313484,2.5 +1,2,26113,2,1,3,3,25,2.5,-1.13,63,Y,-1.11,P,2,P,95,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,486.842095,c 460-520,c 460-520,0.94313484,2.5 +3,6,26150,3,1,7,6,33,2.5,-0.58,66,Y,0.08,F,7,F,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,613.157879,e 580-640,e 580-640,0.94313484,2.5 +7,7,26260,7,2,7,3,41.5,2.5,0.37,63,Y,0.32,P,7,P,95,2,4,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,747.3683995,g 700+,g 700-760,0.94313484,2.5 +1,1,26296,2,1,7,3,43,2.5,-1.3,69,Y,-1.98,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,771.052609,g 700+,h 760-820,0.94313484,2.5 +2,1,26481,3,2,7,1,38,2.5,-0.76,67,Y,-1.37,P,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,692.105244,f 640-700,f 640-700,0.94313484,2.5 +,,26597,5,1,3,3,35,2.5,-0.17,69,Y,,P,7,P,94,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,644.736825,f 640-700,f 640-700,0.94313484,2.5 +1,1,26758,1,1,3,1,27,2.5,-1.7,69,Y,-1.48,P,2,P,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,518.421041,c 460-520,c 460-520,0.94313484,2.5 +1,1,26763,1,2,3,1,42,2.5,-1.62,69,Y,-2.29,F,7,F,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,755.263136,g 700+,g 700-760,0.94313484,2.5 +1,1,26800,2,1,3,3,32.5,2.5,-1.24,69,Y,-1.51,F,7,F,94,1,3,-62,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,605.2631425,e 580-640,e 580-640,0.94313484,2.5 +9,5,26807,9,2,7,3,41,2.5,0.9,68,Y,-0.07,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,739.473663,g 700+,g 700-760,0.94313484,2.5 +9,7,26958,9,2,7,3,42,2.5,1.06,49,Y,0.5,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,755.263136,g 700+,g 700-760,0.94313484,2.5 +,,27412,,1,7,6,31,2.5,,63,Y,,P,7,P,94,1,4,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,581.578933,e 580-640,e 580-640,0.94313484,2.5 +1,1,27462,2,1,3,4,28.5,2.5,-1.19,43,Y,-1.35,F,7,P,96,2,3,-36,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,542.1052505,d 520-580,d 520-580,0.94313484,2.5 +8,4,86,8,2,7,3,42,2.3,0.81,67,Y,-0.3,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,735.263136,g 700+,g 700-760,0.92628914,2.3 +5,4,159,5,1,3,3,28,2.3,-0.16,67,Y,-0.5,P,7,P,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,514.210514,c 460-520,c 460-520,0.92628914,2.3 +1,2,430,2,2,4,3,27,2.3,-1.26,62,Y,-1.27,P,7,P,94,1,3,-55,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,498.421041,c 460-520,c 460-520,0.92628914,2.3 +7,9,486,8,2,7,1,45,2.3,0.59,59,Y,0.92,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.631555,g 700+,h 760-820,0.92628914,2.3 +1,1,687,1,2,4,1,23.5,2.3,-1.38,63,Y,-1.77,P,7,P,94,1,1,-56,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,443.1578855,b 400-460,b 400-460,0.92628914,2.3 +1,1,733,1,2,3,3,26,2.3,-2.05,63,Y,-1.39,F,7,P,96,2,3,-56,male,1,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,482.631568,c 460-520,c 460-520,0.92628914,2.3 +,,759,,2,7,,28,2.3,-0.09,60,Y,-1.02,P,2,P,95,2,3,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,514.210514,c 460-520,c 460-520,0.92628914,2.3 +,,935,2,2,7,3,36,2.3,-0.95,31,Y,,F,7,F,95,1,2,-24,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +6,7,991,7,2,3,6,30,2.3,0.28,49,Y,0.35,P,7,P,94,1,2,-42,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,545.78946,d 520-580,d 520-580,0.92628914,2.3 +6,7,1136,6,1,4,3,32,2.3,0.18,67,Y,0.27,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,577.368406,d 520-580,d 520-580,0.92628914,2.3 +4,4,1394,4,2,3,1,37,2.3,-0.32,62,Y,-0.51,P,2,P,94,1,1,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,656.315771,f 640-700,f 640-700,0.92628914,2.3 +7,7,1569,7,2,3,3,40,2.3,0.48,64,Y,0.39,P,7,P,94,1,1,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,703.68419,g 700+,g 700-760,0.92628914,2.3 +3,2,1666,4,2,3,1,29,2.3,-0.43,69,Y,-1.18,P,7,P,94,1,3,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,529.999987,d 520-580,d 520-580,0.92628914,2.3 +7,5,1740,7,2,6,2,35,2.3,0.44,70,Y,-0.15,P,7,P,94,1,4,-63,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,624.736825,e 580-640,e 580-640,0.92628914,2.3 +2,1,2241,2,1,3,2,26,2.3,-1,67,Y,-1.58,F,7,F,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,482.631568,c 460-520,c 460-520,0.92628914,2.3 +1,4,2243,2,1,3,3,25,2.3,-1.26,66,Y,-0.51,F,7,P,96,2,3,-59,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,466.842095,c 460-520,c 460-520,0.92628914,2.3 +5,5,2249,5,2,7,3,34,2.3,-0.05,68,Y,-0.18,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,608.947352,e 580-640,e 580-640,0.92628914,2.3 +5,2,2407,5,2,6,2,28,2.3,-0.15,67,Y,-0.94,P,7,P,94,1,2,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,514.210514,c 460-520,c 460-520,0.92628914,2.3 +8,7,2432,8,2,7,4,41,2.3,0.64,62,Y,0.42,P,7,P,95,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,719.473663,g 700+,g 700-760,0.92628914,2.3 +,,2494,,2,3,1,27,2.3,,64,Y,,F,7,F,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,498.421041,c 460-520,c 460-520,0.92628914,2.3 +4,5,2786,5,1,3,6,28,2.3,-0.12,64,Y,-0.15,P,2,P,94,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,514.210514,c 460-520,c 460-520,0.92628914,2.3 +4,3,2923,4,1,3,3,34,2.3,-0.29,67,Y,-0.67,F,7,P,95,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,608.947352,e 580-640,e 580-640,0.92628914,2.3 +1,1,2938,2,2,6,4,42.5,2.3,-1.25,68,Y,-1.72,P,7,P,94,1,2,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,743.1578725,g 700+,g 700-760,0.92628914,2.3 +1,1,3057,1,2,3,4,35,2.3,-1.5,59,Y,-1.69,F,7,F,95,2,,-52,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,624.736825,e 580-640,e 580-640,0.92628914,2.3 +10,9,3116,10,2,7,1,44,2.3,1.34,57,Y,1.26,P,7,P,94,1,4,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,766.842082,g 700+,h 760-820,0.92628914,2.3 +6,5,3253,6,2,7,1,33,2.3,0.28,68,Y,-0.19,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,593.157879,e 580-640,e 580-640,0.92628914,2.3 +1,1,3256,2,2,7,2,39,2.3,-1.25,65,Y,-1.3,P,2,P,95,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,687.894717,f 640-700,f 640-700,0.92628914,2.3 +1,1,3610,1,1,7,5,33,2.3,-1.56,68,Y,-1.46,P,7,P,94,1,4,-61,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,6,593.157879,e 580-640,e 580-640,0.92628914,2.3 +,,3614,,2,3,2,28,2.3,,63,Y,,F,7,F,95,1,3,-56,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,514.210514,c 460-520,c 460-520,0.92628914,2.3 +7,5,3695,7,2,7,3,47,2.3,0.51,64,Y,-0.03,P,7,P,94,1,5,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,814.210501,g 700+,h 760-820,0.92628914,2.3 +1,1,3729,1,1,3,5,34,2.3,-1.66,69,Y,-1.81,P,7,P,95,1,4,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,608.947352,e 580-640,e 580-640,0.92628914,2.3 +6,5,3991,6,2,7,1,36,2.3,0.11,67,Y,-0.12,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,640.526298,f 640-700,f 640-700,0.92628914,2.3 +10,9,4035,10,2,7,2,30,2.3,1.3,58,Y,1.23,P,2,P,95,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,545.78946,d 520-580,d 520-580,0.92628914,2.3 +4,2,4073,4,2,7,3,36,2.3,-0.32,67,Y,-1.23,P,2,P,95,1,3,-65,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +3,8,4114,3,2,7,3,32.5,2.3,-0.68,62,Y,0.59,P,7,P,94,1,5,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,585.2631425,e 580-640,e 580-640,0.92628914,2.3 +7,7,4550,7,2,7,4,35,2.3,0.46,63,Y,0.28,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,624.736825,e 580-640,e 580-640,0.92628914,2.3 +6,7,4710,6,2,7,3,32,2.3,0.22,65,Y,0.52,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,577.368406,d 520-580,d 520-580,0.92628914,2.3 +1,1,4770,1,1,3,2,26,2.3,-1.31,69,Y,-1.98,F,2,F,95,1,4,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,482.631568,c 460-520,c 460-520,0.92628914,2.3 +2,1,4963,2,2,3,1,30,2.3,-0.93,66,Y,-1.63,F,7,F,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,545.78946,d 520-580,d 520-580,0.92628914,2.3 +,,5218,,2,7,3,36,2.3,,67,Y,-0.34,P,7,P,95,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +3,1,5249,3,2,7,3,37,2.3,-0.59,67,Y,-1.84,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +6,6,5304,6,2,4,3,33,2.3,0.14,64,Y,0.02,P,7,P,94,1,4,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.157879,e 580-640,e 580-640,0.92628914,2.3 +9,8,5352,9,2,7,3,37,2.3,1.04,68,Y,0.6,P,7,P,94,1,2,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +5,5,5458,5,2,7,3,39,2.3,-0.03,66,Y,-0.26,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.894717,f 640-700,f 640-700,0.92628914,2.3 +3,1,5559,3,2,7,3,42,2.3,-0.57,65,Y,-1.39,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,735.263136,g 700+,g 700-760,0.92628914,2.3 +,,5721,7,2,7,4,39,2.3,0.51,65,Y,,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.894717,f 640-700,f 640-700,0.92628914,2.3 +3,4,5934,3,2,7,3,31.7,2.3,-0.6,52,Y,-0.55,P,2,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,572.6315641,d 520-580,d 520-580,0.92628914,2.3 +7,5,6293,7,2,7,3,32,2.3,0.48,63,Y,-0.1,P,7,P,95,2,5,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,577.368406,d 520-580,d 520-580,0.92628914,2.3 +4,4,6474,4,2,7,3,35,2.3,-0.35,66,Y,-0.38,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.736825,e 580-640,e 580-640,0.92628914,2.3 +1,3,6547,1,1,3,1,29,2.3,-1.42,70,Y,-0.59,P,7,P,94,1,4,-63,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,529.999987,d 520-580,d 520-580,0.92628914,2.3 +,,6705,,2,7,3,40,2.3,,65,Y,,P,7,P,94,1,2,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.68419,g 700+,g 700-760,0.92628914,2.3 +,,6823,,2,7,2,34,2.3,,46,Y,,P,7,P,94,1,4,-39,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,608.947352,e 580-640,e 580-640,0.92628914,2.3 +,,6858,,2,3,6,22,2.3,,63,Y,,P,7,P,95,1,2,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,419.473676,b 400-460,b 400-460,0.92628914,2.3 +10,5,6901,10,1,7,4,39,2.3,1.47,65,Y,0.02,P,7,P,95,2,4,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.894717,f 640-700,f 640-700,0.92628914,2.3 +8,8,7033,8,2,7,6,29,2.3,0.72,59,Y,0.54,P,2,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,529.999987,d 520-580,d 520-580,0.92628914,2.3 +6,5,7186,6,1,3,6,33,2.3,0.16,64,Y,-0.29,P,2,P,95,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,593.157879,e 580-640,e 580-640,0.92628914,2.3 +5,3,7375,5,1,2,4,46,2.3,-0.2,66,Y,-0.75,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,798.421028,g 700+,h 760-820,0.92628914,2.3 +1,1,7394,1,1,7,1,34,2.3,-1.65,66,Y,-1.67,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,608.947352,e 580-640,e 580-640,0.92628914,2.3 +3,1,7524,4,1,3,2,26,2.3,-0.49,54,Y,-1.32,F,2,F,96,2,2,-52,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,482.631568,c 460-520,c 460-520,0.92628914,2.3 +9,9,7537,9,2,7,4,35.5,2.3,1.14,62,Y,1.28,P,2,P,95,2,3,-60,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,632.6315615,e 580-640,e 580-640,0.92628914,2.3 +8,8,7595,8,2,6,3,34,2.3,0.59,66,Y,0.73,P,7,P,94,1,4,-59,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,608.947352,e 580-640,e 580-640,0.92628914,2.3 +,,7704,,2,7,6,32,2.3,,65,Y,,F,7,P,95,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,577.368406,d 520-580,d 520-580,0.92628914,2.3 +,,7728,,1,7,1,36,2.3,,67,Y,0.63,P,7,P,95,1,3,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,640.526298,f 640-700,f 640-700,0.92628914,2.3 +6,5,7738,6,2,4,2,37,2.3,0.15,69,Y,-0.14,P,7,P,94,1,3,-62,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,656.315771,f 640-700,f 640-700,0.92628914,2.3 +6,2,8307,6,2,7,3,36,2.3,0.18,69,Y,-0.97,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +2,2,8552,2,2,7,3,42,2.3,-0.97,63,Y,-0.98,P,2,P,95,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,735.263136,g 700+,g 700-760,0.92628914,2.3 +3,5,8657,3,2,7,4,42,2.3,-0.59,66,Y,-0.02,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,735.263136,g 700+,g 700-760,0.92628914,2.3 +,,8713,,2,3,1,30,2.3,,66,Y,,P,7,P,94,1,2,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,545.78946,d 520-580,d 520-580,0.92628914,2.3 +10,10,8773,10,1,7,6,34,2.3,1.62,58,Y,1.61,P,7,P,94,1,4,-51,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,608.947352,e 580-640,e 580-640,0.92628914,2.3 +,,8897,,2,7,6,33,2.3,,68,Y,,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,593.157879,e 580-640,e 580-640,0.92628914,2.3 +10,10,8920,10,2,7,3,36,2.3,1.65,49,Y,1.33,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +10,10,8981,10,1,7,3,36,2.3,1.44,63,Y,1.46,P,7,P,95,2,3,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +2,4,9003,2,2,7,3,35,2.3,-0.92,48,Y,-0.29,P,2,P,95,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.736825,e 580-640,e 580-640,0.92628914,2.3 +,,9290,,2,7,,30.7,2.3,0.16,66,Y,0.03,P,7,P,94,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,556.8420911,d 520-580,d 520-580,0.92628914,2.3 +1,1,9459,2,1,3,3,35,2.3,-1.29,68,Y,-1.87,F,7,P,95,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,3,624.736825,e 580-640,e 580-640,0.92628914,2.3 +8,9,9609,8,2,7,3,37,2.3,0.75,63,Y,0.92,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +2,1,9670,2,1,7,1,26,2.3,-0.99,53,Y,-1.45,F,7,P,95,1,3,-46,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,482.631568,c 460-520,c 460-520,0.92628914,2.3 +1,1,9690,1,1,3,3,27.7,2.3,-1.5,63,Y,-1.42,F,2,F,95,2,4,-61,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,509.4736721,c 460-520,c 460-520,0.92628914,2.3 +2,2,9972,2,1,7,1,38,2.3,-1.06,47,Y,-0.99,P,2,P,94,1,4,-45,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,672.105244,f 640-700,f 640-700,0.92628914,2.3 +4,5,10011,5,1,3,3,33,2.3,-0.18,67,Y,-0.23,P,2,P,94,1,2,-65,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,593.157879,e 580-640,e 580-640,0.92628914,2.3 +3,4,10033,4,2,7,3,33.7,2.3,-0.5,64,Y,-0.36,F,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,604.2105101,e 580-640,e 580-640,0.92628914,2.3 +1,2,10077,2,2,7,3,28,2.3,-1.13,66,Y,-0.94,P,2,P,95,1,4,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,514.210514,c 460-520,c 460-520,0.92628914,2.3 +6,8,10145,6,2,7,3,41,2.3,0.12,62,Y,0.56,P,7,P,94,2,3,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,719.473663,g 700+,g 700-760,0.92628914,2.3 +6,6,10421,6,2,7,4,34,2.3,0.07,64,Y,0.13,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,608.947352,e 580-640,e 580-640,0.92628914,2.3 +1,2,10447,2,1,3,6,29.5,2.3,-1.24,63,Y,-0.97,F,7,F,94,1,4,-56,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,537.8947235,d 520-580,d 520-580,0.92628914,2.3 +9,8,10530,9,2,7,3,41,2.3,0.93,65,Y,0.67,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,719.473663,g 700+,g 700-760,0.92628914,2.3 +4,3,10865,4,2,7,4,46,2.3,-0.27,63,Y,-0.52,P,7,P,94,1,2,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,798.421028,g 700+,h 760-820,0.92628914,2.3 +1,1,10877,1,1,7,3,43,2.3,-1.33,68,Y,-1.7,F,6,P,94,1,3,-62,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,751.052609,g 700+,g 700-760,0.92628914,2.3 +4,6,10944,4,2,7,3,35.5,2.3,-0.3,67,Y,0.1,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,632.6315615,e 580-640,e 580-640,0.92628914,2.3 +5,3,10978,6,2,8,6,22.5,2.3,0.13,63,Y,-0.75,F,7,F,94,1,5,-56,male,0,1,other,c other,NO,1,0,0,0,0,c Failed,FALSE,1,427.3684125,b 400-460,b 400-460,0.92628914,2.3 +5,3,11109,5,2,2,1,39,2.3,-0.04,66,Y,-0.55,F,7,P,95,1,3,-59,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,4,687.894717,f 640-700,f 640-700,0.92628914,2.3 +,,11228,,1,7,3,41,2.3,,36,Y,,P,7,P,94,1,5,-29,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,719.473663,g 700+,g 700-760,0.92628914,2.3 +5,4,11464,6,1,7,2,33,2.3,0.04,67,Y,-0.55,F,7,P,96,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,593.157879,e 580-640,e 580-640,0.92628914,2.3 +3,5,11532,4,2,7,3,36,2.3,-0.47,47,Y,-0.25,P,2,P,95,2,3,-45,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +5,5,11806,5,1,7,3,37,2.3,-0.04,67,Y,-0.14,F,7,F,95,1,4,-60,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +7,9,11888,7,2,7,3,38,2.3,0.47,68,Y,1.23,P,2,P,94,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.105244,f 640-700,f 640-700,0.92628914,2.3 +2,2,12000,3,1,7,4,39,2.3,-0.76,64,Y,-1.19,P,2,P,96,2,3,-62,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.894717,f 640-700,f 640-700,0.92628914,2.3 +10,10,12027,10,2,7,6,35,2.3,1.69,59,Y,2.41,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,624.736825,e 580-640,e 580-640,0.92628914,2.3 +7,7,12260,7,2,7,3,38,2.3,0.41,65,Y,0.5,P,2,P,94,1,5,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.105244,f 640-700,f 640-700,0.92628914,2.3 +5,5,12318,5,2,7,1,37.5,2.3,-0.11,65,Y,-0.12,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,664.2105075,f 640-700,f 640-700,0.92628914,2.3 +3,2,12369,3,1,3,1,28,2.3,-0.54,66,Y,-1.05,P,7,P,94,1,4,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,514.210514,c 460-520,c 460-520,0.92628914,2.3 +2,3,12378,3,1,7,4,41,2.3,-0.76,49,Y,-0.61,P,7,P,94,1,5,-42,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,719.473663,g 700+,g 700-760,0.92628914,2.3 +8,8,12400,8,1,7,1,48,2.3,0.8,62,Y,0.72,P,7,P,95,2,4,-55,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,829.999974,g 700+,i 820+,0.92628914,2.3 +3,4,12407,4,1,4,3,35,2.3,-0.5,67,Y,-0.45,P,7,P,94,1,4,-60,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.736825,e 580-640,e 580-640,0.92628914,2.3 +2,3,12414,3,2,7,3,37,2.3,-0.8,69,Y,-0.81,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +2,1,12583,2,1,3,4,30,2.3,-0.95,64,Y,-1.38,F,7,F,95,1,1,-57,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,545.78946,d 520-580,d 520-580,0.92628914,2.3 +4,3,12730,4,2,4,3,33,2.3,-0.35,67,Y,-0.67,F,7,P,95,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,593.157879,e 580-640,e 580-640,0.92628914,2.3 +3,3,12868,3,1,7,3,29,2.3,-0.61,63,Y,-0.72,P,7,P,94,1,,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,529.999987,d 520-580,d 520-580,0.92628914,2.3 +10,10,12902,10,2,7,1,32,2.3,2.32,61,Y,2.22,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,577.368406,d 520-580,d 520-580,0.92628914,2.3 +,,13032,,2,7,3,40,2.3,,64,Y,,P,7,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.68419,g 700+,g 700-760,0.92628914,2.3 +1,1,13254,1,2,7,5,31,2.3,-1.26,61,Y,-1.45,F,7,F,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,6,561.578933,d 520-580,d 520-580,0.92628914,2.3 +1,9,13586,2,2,7,3,40,2.3,-1.13,69,Y,1.07,P,7,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.68419,g 700+,g 700-760,0.92628914,2.3 +2,7,13770,3,1,7,2,33,2.3,-0.73,66,Y,0.32,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,593.157879,e 580-640,e 580-640,0.92628914,2.3 +8,4,14155,8,2,7,2,36,2.3,0.77,69,Y,-0.47,F,7,F,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,640.526298,f 640-700,f 640-700,0.92628914,2.3 +3,5,14201,4,2,7,3,37,2.3,-0.52,34,Y,-0.06,P,7,P,94,1,1,-27,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +1,4,14344,2,2,7,3,38,2.3,-1.18,67,Y,-0.44,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.105244,f 640-700,f 640-700,0.92628914,2.3 +4,3,14359,4,2,7,3,30.5,2.3,-0.39,60,Y,-0.85,P,7,P,94,1,3,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,553.6841965,d 520-580,d 520-580,0.92628914,2.3 +,,14390,,2,7,3,45,2.3,,60,Y,,P,7,P,95,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,782.631555,g 700+,h 760-820,0.92628914,2.3 +,,14437,,1,7,,34,2.3,1.2,67,Y,0.62,P,7,P,94,2,,-60,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,608.947352,e 580-640,e 580-640,0.92628914,2.3 +10,10,14788,10,2,7,2,45,2.3,2.76,69,Y,2.92,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,782.631555,g 700+,h 760-820,0.92628914,2.3 +1,4,14837,1,2,7,3,35,2.3,-1.71,56,Y,-0.54,F,7,F,95,2,4,-49,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,624.736825,e 580-640,e 580-640,0.92628914,2.3 +,,14869,,2,7,4,37,2.3,,43,Y,,P,7,P,95,2,2,-36,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,656.315771,f 640-700,f 640-700,0.92628914,2.3 +7,8,14953,8,2,7,3,40,2.3,0.56,64,Y,0.81,P,7,P,95,2,3,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.68419,g 700+,g 700-760,0.92628914,2.3 +8,5,14970,8,2,7,3,40,2.3,0.82,60,Y,-0.08,P,7,P,94,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.68419,g 700+,g 700-760,0.92628914,2.3 +5,2,14975,5,2,2,3,37,2.3,-0.08,69,Y,-1.19,P,2,P,95,1,2,-67,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +2,2,15013,3,2,7,6,26.3,2.3,-0.84,62,Y,-1.04,F,2,F,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,487.3684099,c 460-520,c 460-520,0.92628914,2.3 +9,9,15109,9,2,7,3,42,2.3,0.98,66,Y,1.16,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,735.263136,g 700+,g 700-760,0.92628914,2.3 +1,1,15171,1,1,3,1,34,2.3,-2.36,69,Y,-2.49,F,2,F,95,1,3,-67,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,608.947352,e 580-640,e 580-640,0.92628914,2.3 +4,3,15391,5,2,3,1,33,2.3,-0.22,69,Y,-0.74,P,7,P,94,1,4,-62,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,593.157879,e 580-640,e 580-640,0.92628914,2.3 +2,2,15424,2,2,7,3,40,2.3,-1.07,66,Y,-0.98,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.68419,g 700+,g 700-760,0.92628914,2.3 +4,5,15512,4,2,7,1,33,2.3,-0.35,50,Y,-0.23,F,7,F,95,2,4,-43,male,1,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,4,593.157879,e 580-640,e 580-640,0.92628914,2.3 +3,4,15661,4,2,7,3,36.5,2.3,-0.5,65,Y,-0.5,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.4210345,f 640-700,f 640-700,0.92628914,2.3 +3,1,15757,3,2,2,4,31,2.3,-0.62,61,Y,-1.53,F,2,P,95,2,2,-59,male,1,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,5,561.578933,d 520-580,d 520-580,0.92628914,2.3 +9,9,15921,10,2,7,3,44,2.3,1.26,62,Y,1.15,P,2,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.842082,g 700+,h 760-820,0.92628914,2.3 +,,15924,,1,3,5,37,2.3,,65,Y,,P,7,P,94,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,656.315771,f 640-700,f 640-700,0.92628914,2.3 +5,2,15948,6,2,7,2,38,2.3,0.04,68,Y,-1.12,P,2,P,95,1,5,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,672.105244,f 640-700,f 640-700,0.92628914,2.3 +8,9,16427,8,2,7,6,33,2.3,0.67,65,Y,1.39,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,593.157879,e 580-640,e 580-640,0.92628914,2.3 +7,5,16515,7,1,7,6,26,2.3,0.45,69,Y,-0.27,P,7,P,94,1,4,-62,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,482.631568,c 460-520,c 460-520,0.92628914,2.3 +10,10,16629,10,2,7,2,42,2.3,1.66,61,Y,2.04,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,735.263136,g 700+,g 700-760,0.92628914,2.3 +2,2,16716,2,2,7,3,36.5,2.3,-1.01,59,Y,-1.22,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,648.4210345,f 640-700,f 640-700,0.92628914,2.3 +3,2,16741,3,2,3,1,34,2.3,-0.54,63,Y,-1.21,F,6,P,95,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,608.947352,e 580-640,e 580-640,0.92628914,2.3 +8,8,16809,8,2,7,6,30,2.3,0.75,66,Y,0.73,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,545.78946,d 520-580,d 520-580,0.92628914,2.3 +5,6,16819,6,2,7,3,36,2.3,0.01,68,Y,0,P,6,P,94,1,3,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +9,10,16872,9,1,7,2,43,2.3,1.08,66,Y,1.41,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,751.052609,g 700+,g 700-760,0.92628914,2.3 +1,1,16953,1,2,3,2,19.3,2.3,-1.64,68,Y,-2.36,F,7,F,94,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,376.8420989,a under 400,a under 400,0.92628914,2.3 +7,8,17022,7,2,7,1,38,2.3,0.47,67,Y,0.71,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,672.105244,f 640-700,f 640-700,0.92628914,2.3 +,,17106,1,2,3,3,26,2.3,-1.58,65,X,,F,2,F,96,1,4,-63,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,482.631568,c 460-520,c 460-520,0.92628914,2.3 +9,6,17201,9,1,4,4,40,2.3,1.21,66,Y,0.17,P,7,P,94,1,3,-59,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,703.68419,g 700+,g 700-760,0.92628914,2.3 +2,1,17233,2,2,3,4,39,2.3,-0.88,66,Y,-1.63,F,7,P,96,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,687.894717,f 640-700,f 640-700,0.92628914,2.3 +2,4,17547,2,2,7,3,40,2.3,-0.92,68,Y,-0.49,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,703.68419,g 700+,g 700-760,0.92628914,2.3 +9,9,17656,9,2,7,2,37,2.3,0.86,68,Y,1.14,P,2,P,94,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,656.315771,f 640-700,f 640-700,0.92628914,2.3 +10,10,17727,10,2,7,6,33.5,2.3,1.66,61,Y,1.43,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,601.0526155,e 580-640,e 580-640,0.92628914,2.3 +8,8,17758,8,1,7,3,35,2.3,0.57,55,Y,0.59,P,7,P,95,2,3,-48,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.736825,e 580-640,e 580-640,0.92628914,2.3 +2,1,18032,2,2,7,1,38,2.3,-1.14,66,Y,-1.71,P,2,P,95,1,3,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,672.105244,f 640-700,f 640-700,0.92628914,2.3 +10,10,18094,10,2,7,2,44,2.3,2.65,67,Y,2.5,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,766.842082,g 700+,h 760-820,0.92628914,2.3 +9,8,18290,9,2,6,3,33,2.3,0.99,59,Y,0.76,P,7,P,94,1,3,-52,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.157879,e 580-640,e 580-640,0.92628914,2.3 +7,5,18315,7,2,7,3,41.5,2.3,0.44,63,Y,-0.21,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,727.3683995,g 700+,g 700-760,0.92628914,2.3 +4,1,18824,4,1,3,4,26,2.3,-0.33,58,Y,-1.52,P,2,P,95,1,3,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,482.631568,c 460-520,c 460-520,0.92628914,2.3 +2,2,18979,2,2,7,3,29,2.3,-0.93,67,Y,-1.18,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,529.999987,d 520-580,d 520-580,0.92628914,2.3 +2,1,19000,2,2,7,3,27,2.3,-1.01,67,Y,-1.53,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,498.421041,c 460-520,c 460-520,0.92628914,2.3 +4,3,19008,4,2,7,3,41,2.3,-0.35,65,Y,-0.59,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,719.473663,g 700+,g 700-760,0.92628914,2.3 +4,5,19036,5,2,7,3,36.5,2.3,-0.24,65,Y,-0.16,F,2,P,95,2,3,-63,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,648.4210345,f 640-700,f 640-700,0.92628914,2.3 +5,5,19310,5,2,7,3,37,2.3,-0.1,61,Y,-0.23,F,7,P,95,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +,,19431,2,2,7,3,32,2.3,-0.85,61,X,,P,7,P,94,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,577.368406,d 520-580,d 520-580,0.92628914,2.3 +7,9,19505,7,1,3,6,35,2.3,0.46,66,Y,0.98,P,7,P,94,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,624.736825,e 580-640,e 580-640,0.92628914,2.3 +5,4,19690,5,2,7,1,33,2.3,0.04,66,Y,-0.35,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,593.157879,e 580-640,e 580-640,0.92628914,2.3 +2,2,19852,3,1,3,6,15.7,2.3,-0.79,58,Y,-1.03,F,7,F,94,1,,-51,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,319.9999961,a under 400,a under 400,0.92628914,2.3 +6,3,19872,6,1,7,2,29,2.3,0.17,66,Y,-0.75,P,2,P,95,2,4,-64,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,529.999987,d 520-580,d 520-580,0.92628914,2.3 +1,3,19935,2,1,3,2,32,2.3,-1.09,66,Y,-0.75,F,7,F,95,1,2,-59,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,577.368406,d 520-580,d 520-580,0.92628914,2.3 +10,10,19946,10,2,7,2,36,2.3,1.55,63,Y,2.03,P,7,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,640.526298,f 640-700,f 640-700,0.92628914,2.3 +3,2,20012,3,2,7,3,35,2.3,-0.64,64,Y,-1.05,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.736825,e 580-640,e 580-640,0.92628914,2.3 +3,3,20079,4,2,7,2,41,2.3,-0.47,67,Y,-0.91,P,7,P,94,1,5,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,719.473663,g 700+,g 700-760,0.92628914,2.3 +6,2,20093,6,2,3,6,25,2.3,0.16,63,Y,-1.07,P,7,P,94,1,2,-56,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,466.842095,c 460-520,c 460-520,0.92628914,2.3 +1,1,20312,1,2,3,3,21,2.3,-1.8,56,Y,-1.98,F,7,F,94,1,2,-49,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,403.684203,b 400-460,b 400-460,0.92628914,2.3 +8,8,20436,8,2,7,3,42,2.3,0.83,66,Y,0.67,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,735.263136,g 700+,g 700-760,0.92628914,2.3 +1,2,20482,2,2,3,6,34,2.3,-0.98,68,Y,-0.98,F,7,P,96,1,3,-61,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,1,608.947352,e 580-640,e 580-640,0.92628914,2.3 +2,1,20552,2,1,2,3,28,2.3,-0.92,68,Y,-1.63,F,7,P,95,1,3,-61,female,0,0,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,514.210514,c 460-520,c 460-520,0.92628914,2.3 +8,7,20891,8,2,7,6,28,2.3,0.75,56,Y,0.32,P,7,P,94,1,2,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,514.210514,c 460-520,c 460-520,0.92628914,2.3 +5,1,21190,5,2,7,1,36,2.3,0.01,69,Y,-1.53,P,7,P,94,1,2,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,640.526298,f 640-700,f 640-700,0.92628914,2.3 +3,1,21269,4,2,7,6,22.7,2.3,-0.36,68,Y,-1.46,F,7,F,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,430.5263071,b 400-460,b 400-460,0.92628914,2.3 +5,4,21322,5,2,7,3,36,2.3,-0.1,68,Y,-0.31,P,2,P,94,1,2,-66,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +7,8,21493,7,2,7,4,41,2.3,0.45,65,Y,0.74,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,719.473663,g 700+,g 700-760,0.92628914,2.3 +7,8,21523,7,2,7,4,39,2.3,0.53,47,Y,0.7,P,7,P,95,2,3,-40,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,687.894717,f 640-700,f 640-700,0.92628914,2.3 +,,21530,10,2,7,3,44,2.3,2.6,63,Y,,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,766.842082,g 700+,h 760-820,0.92628914,2.3 +5,5,21720,5,1,3,3,23,2.3,-0.03,58,Y,-0.2,P,7,P,94,1,3,-51,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,435.263149,b 400-460,b 400-460,0.92628914,2.3 +1,3,21779,2,2,7,2,32.5,2.3,-1.13,67,Y,-0.64,F,7,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,585.2631425,e 580-640,e 580-640,0.92628914,2.3 +1,1,21783,2,2,2,2,29,2.3,-1.16,66,Y,-1.34,F,7,F,94,1,4,-59,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,2,529.999987,d 520-580,d 520-580,0.92628914,2.3 +8,8,21792,8,2,7,2,40,2.3,0.59,66,Y,0.66,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,703.68419,g 700+,g 700-760,0.92628914,2.3 +9,10,21954,9,2,7,3,35,2.3,0.95,68,Y,1.41,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,624.736825,e 580-640,e 580-640,0.92628914,2.3 +3,5,22053,4,2,7,2,35.5,2.3,-0.44,65,Y,-0.3,F,7,F,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,632.6315615,e 580-640,e 580-640,0.92628914,2.3 +1,1,22099,1,2,3,1,29.5,2.3,-1.42,68,Y,-2.18,F,7,F,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,537.8947235,d 520-580,d 520-580,0.92628914,2.3 +,,22120,,1,1,5,40,2.3,,60,Y,,F,7,P,95,1,3,-53,female,0,0,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,6,703.68419,g 700+,g 700-760,0.92628914,2.3 +1,1,22179,1,2,7,1,41,2.3,-1.88,65,Y,-1.5,P,7,P,94,1,5,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,719.473663,g 700+,g 700-760,0.92628914,2.3 +2,6,22180,2,1,3,6,29,2.3,-0.97,68,Y,0.12,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,529.999987,d 520-580,d 520-580,0.92628914,2.3 +3,1,22242,4,1,7,2,39,2.3,-0.52,68,Y,-1.34,F,2,F,95,1,2,-66,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,687.894717,f 640-700,f 640-700,0.92628914,2.3 +10,2,22274,10,1,3,5,36,2.3,1.5,62,Y,-0.89,P,7,P,94,1,4,-55,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,6,640.526298,f 640-700,f 640-700,0.92628914,2.3 +3,4,22286,4,1,7,3,32.5,2.3,-0.51,63,Y,-0.31,P,7,P,95,2,2,-56,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,585.2631425,e 580-640,e 580-640,0.92628914,2.3 +5,6,22348,5,1,7,2,35,2.3,-0.1,64,Y,0.06,P,7,P,94,1,4,-57,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,624.736825,e 580-640,e 580-640,0.92628914,2.3 +1,1,22386,2,1,6,3,24,2.3,-1.28,69,Y,-2.47,F,2,F,96,2,4,-67,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,451.052622,b 400-460,b 400-460,0.92628914,2.3 +5,4,22890,6,2,3,6,23,2.3,0.02,69,Y,-0.56,F,7,F,94,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,435.263149,b 400-460,b 400-460,0.92628914,2.3 +4,5,23304,5,2,7,6,23,2.3,-0.21,66,Y,-0.29,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,435.263149,b 400-460,b 400-460,0.92628914,2.3 +1,1,23373,1,2,3,1,25,2.3,-1.91,53,Y,-1.53,P,7,P,94,1,1,-46,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,466.842095,c 460-520,c 460-520,0.92628914,2.3 +9,6,23374,9,2,7,4,38,2.3,0.97,50,Y,0.2,P,7,P,95,2,4,-43,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,672.105244,f 640-700,f 640-700,0.92628914,2.3 +8,9,23830,9,2,3,4,40,2.3,0.86,64,Y,1.08,P,7,P,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,5,703.68419,g 700+,g 700-760,0.92628914,2.3 +6,4,23990,6,2,7,3,38,2.3,0.14,61,Y,-0.46,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.105244,f 640-700,f 640-700,0.92628914,2.3 +3,1,24059,4,2,7,1,36,2.3,-0.45,66,Y,-1.43,F,7,P,95,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,4,640.526298,f 640-700,f 640-700,0.92628914,2.3 +7,7,24115,7,1,7,3,33,2.3,0.36,47,Y,0.34,P,7,P,94,1,3,-40,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,593.157879,e 580-640,e 580-640,0.92628914,2.3 +4,3,24474,5,2,3,6,27,2.3,-0.25,56,Y,-0.75,F,7,F,94,1,3,-49,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,498.421041,c 460-520,c 460-520,0.92628914,2.3 +2,3,24619,3,2,7,3,37,2.3,-0.76,54,Y,-0.86,P,7,P,94,1,3,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,656.315771,f 640-700,f 640-700,0.92628914,2.3 +5,2,24643,5,2,7,4,30,2.3,0.01,61,Y,-0.88,P,7,P,94,1,3,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,545.78946,d 520-580,d 520-580,0.92628914,2.3 +6,7,24645,6,2,7,2,33,2.3,0.14,59,Y,0.38,F,7,F,94,1,5,-52,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,593.157879,e 580-640,e 580-640,0.92628914,2.3 +4,4,24776,5,2,7,3,34,2.3,-0.17,66,Y,-0.5,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,608.947352,e 580-640,e 580-640,0.92628914,2.3 +,,24967,1,2,3,3,24.7,2.3,-1.56,67,X,,P,2,P,96,1,3,-65,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,462.1052531,c 460-520,c 460-520,0.92628914,2.3 +8,8,25015,9,2,7,2,38,2.3,0.84,59,Y,0.86,P,7,P,94,1,4,-52,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,672.105244,f 640-700,f 640-700,0.92628914,2.3 +10,2,25022,10,1,3,1,37,2.3,2.6,63,Y,-0.9,P,7,P,94,1,2,-56,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,656.315771,f 640-700,f 640-700,0.92628914,2.3 +5,3,25093,5,1,3,1,39,2.3,-0.04,63,Y,-0.67,P,2,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,687.894717,f 640-700,f 640-700,0.92628914,2.3 +3,3,25097,4,2,7,3,38,2.3,-0.49,64,Y,-0.73,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,672.105244,f 640-700,f 640-700,0.92628914,2.3 +2,4,25214,3,1,7,2,33,2.3,-0.78,66,Y,-0.56,P,7,P,94,1,3,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,593.157879,e 580-640,e 580-640,0.92628914,2.3 +5,4,25433,6,1,7,3,41,2.3,0.01,63,Y,-0.49,F,7,P,95,1,5,-56,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,719.473663,g 700+,g 700-760,0.92628914,2.3 +,,25554,,2,7,3,42,2.3,,52,Y,,P,2,P,95,2,3,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,735.263136,g 700+,g 700-760,0.92628914,2.3 +5,4,25773,5,1,7,1,37,2.3,-0.14,66,Y,-0.46,P,7,P,94,1,5,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,656.315771,f 640-700,f 640-700,0.92628914,2.3 +4,4,25884,4,2,3,6,25,2.3,-0.32,66,Y,-0.36,P,7,P,94,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,466.842095,c 460-520,c 460-520,0.92628914,2.3 +7,9,25895,7,2,7,3,36,2.3,0.5,48,Y,1.03,P,7,P,95,2,4,-41,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +7,7,26261,7,2,7,3,39,2.3,0.43,66,Y,0.48,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,687.894717,f 640-700,f 640-700,0.92628914,2.3 +7,7,26289,7,2,7,3,28,2.3,0.46,68,Y,0.44,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,514.210514,c 460-520,c 460-520,0.92628914,2.3 +9,9,26524,9,2,7,1,45,2.3,1.01,62,Y,1.19,P,7,P,94,,,-55,male,,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,782.631555,g 700+,h 760-820,0.92628914,2.3 +1,1,26622,1,1,3,4,23,2.3,-1.41,,Y,-1.59,F,7,F,95,2,2,,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,5,435.263149,b 400-460,b 400-460,0.92628914,2.3 +10,10,26632,10,1,7,2,35.5,2.3,2.26,45,Y,2.82,P,7,P,95,2,3,-38,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,632.6315615,e 580-640,e 580-640,0.92628914,2.3 +4,3,27135,4,2,7,3,33,2.3,-0.26,60,Y,-0.86,F,7,P,96,1,4,-53,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,593.157879,e 580-640,e 580-640,0.92628914,2.3 +6,7,27186,7,1,3,6,27,2.3,0.28,68,Y,0.32,P,7,P,94,1,4,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,498.421041,c 460-520,c 460-520,0.92628914,2.3 +7,5,27201,7,1,3,2,23,2.3,0.44,67,Y,-0.22,P,7,P,94,1,2,-60,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,435.263149,b 400-460,b 400-460,0.92628914,2.3 +4,4,27332,5,2,7,3,36,2.3,-0.21,64,Y,-0.45,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,640.526298,f 640-700,f 640-700,0.92628914,2.3 +6,5,157,7,2,7,3,33,2,0.3,64,Y,-0.05,P,7,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,563.157879,d 520-580,d 520-580,0.7626813,2 +1,3,2385,2,2,7,3,37,2,-1.23,60,Y,-0.69,P,7,P,95,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,626.315771,e 580-640,e 580-640,0.7626813,2 +,,2906,,2,3,1,32,2,,64,Y,,P,7,P,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,547.368406,d 520-580,d 520-580,0.7626813,2 +2,1,4975,2,2,2,4,34,2,-1.12,59,Y,-1.5,P,7,P,94,1,3,-52,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,5,578.947352,d 520-580,d 520-580,0.7626813,2 +7,6,5464,7,2,7,6,29,2,0.44,47,Y,0.17,P,7,P,94,1,3,-40,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,499.999987,c 460-520,c 460-520,0.7626813,2 +9,9,5899,10,2,7,6,29,2,1.31,46,Y,1.32,P,7,P,94,1,3,-39,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,499.999987,c 460-520,c 460-520,0.7626813,2 +9,9,6373,9,2,7,3,40,2,1.2,63,Y,0.91,P,7,P,94,1,5,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.68419,f 640-700,f 640-700,0.7626813,2 +7,6,7639,8,2,7,1,39,2,0.6,51,Y,0.12,P,7,P,94,1,2,-44,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,657.894717,f 640-700,f 640-700,0.7626813,2 +6,2,8543,7,2,4,6,25,2,0.28,64,Y,-1.02,F,7,P,95,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,b Passed 2nd time,TRUE,1,436.842095,b 400-460,b 400-460,0.7626813,2 +2,2,8608,3,2,7,2,35,2,-0.86,62,Y,-0.95,P,2,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,594.736825,e 580-640,e 580-640,0.7626813,2 +2,1,9439,2,2,7,3,32.5,2,-1.06,64,Y,-1.45,P,7,P,94,2,1,-57,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,555.2631425,d 520-580,d 520-580,0.7626813,2 +5,7,10108,6,2,4,6,29,2,0.02,62,Y,0.32,P,2,P,94,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,499.999987,c 460-520,c 460-520,0.7626813,2 +8,7,10412,9,1,3,6,40,2,0.84,64,Y,0.41,P,7,P,94,1,4,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,673.68419,f 640-700,f 640-700,0.7626813,2 +1,3,10764,2,2,7,2,39,2,-1.16,65,Y,-0.89,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,657.894717,f 640-700,f 640-700,0.7626813,2 +3,5,12475,4,2,7,3,42,2,-0.47,64,Y,-0.15,P,7,P,94,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.263136,g 700+,g 700-760,0.7626813,2 +8,2,12587,8,1,7,3,37,2,0.7,61,Y,-0.97,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,626.315771,e 580-640,e 580-640,0.7626813,2 +6,7,13346,7,2,7,3,33,2,0.29,51,Y,0.48,F,7,P,95,1,4,-44,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,563.157879,d 520-580,d 520-580,0.7626813,2 +9,8,13521,9,2,7,3,42,2,1.06,65,Y,0.6,P,7,P,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,705.263136,g 700+,g 700-760,0.7626813,2 +7,2,13757,7,2,3,1,31,2,0.35,67,Y,-1.26,P,7,P,94,1,3,-60,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,531.578933,d 520-580,d 520-580,0.7626813,2 +,,13869,,2,7,3,40,2,,58,Y,,P,7,P,95,2,2,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,673.68419,f 640-700,f 640-700,0.7626813,2 +1,1,15416,2,1,5,3,29.5,2,-1.13,64,Y,-1.36,F,7,F,94,2,4,-57,female,1,0,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,507.8947235,c 460-520,c 460-520,0.7626813,2 +10,10,15576,10,2,7,2,44,2,1.71,65,Y,1.67,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,736.842082,g 700+,g 700-760,0.7626813,2 +7,4,16312,7,1,3,1,28,2,0.51,60,Y,-0.53,F,2,P,95,2,4,-58,female,1,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,484.210514,c 460-520,c 460-520,0.7626813,2 +4,2,16403,5,1,3,6,21,2,-0.11,64,Y,-1.3,F,7,F,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,373.684203,a under 400,a under 400,0.7626813,2 +,,16804,,2,3,1,29.5,2,,60,Y,,F,7,P,95,1,2,-53,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,507.8947235,c 460-520,c 460-520,0.7626813,2 +1,1,16844,1,2,7,2,37,2,-1.63,62,Y,-1.68,F,7,F,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,2,626.315771,e 580-640,e 580-640,0.7626813,2 +9,6,17372,9,2,7,4,44,2,1.04,64,Y,0.19,P,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,736.842082,g 700+,g 700-760,0.7626813,2 +5,5,17595,5,2,7,3,39,2,-0.15,66,Y,-0.23,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,657.894717,f 640-700,f 640-700,0.7626813,2 +1,1,19630,1,2,3,2,35,2,-1.71,65,Y,-2.29,F,7,F,95,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,594.736825,e 580-640,e 580-640,0.7626813,2 +6,7,19979,6,2,7,4,34,2,0.19,67,Y,0.46,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,578.947352,d 520-580,d 520-580,0.7626813,2 +2,1,20324,3,2,1,6,25,2,-0.77,59,Y,-1.33,F,7,P,96,1,2,-52,male,0,1,other,c other,NO,1,0,0,1,1,b Passed 2nd time,TRUE,1,436.842095,b 400-460,b 400-460,0.7626813,2 +1,1,20403,1,2,6,1,26,2,-2.12,62,Y,-2.32,F,2,F,95,1,3,-60,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,452.631568,b 400-460,b 400-460,0.7626813,2 +2,4,21426,3,2,3,6,31.5,2,-0.68,65,Y,-0.42,P,7,P,94,1,2,-58,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,539.4736695,d 520-580,d 520-580,0.7626813,2 +3,3,21939,3,2,7,3,43,2,-0.6,66,Y,-0.72,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.052609,g 700+,g 700-760,0.7626813,2 +6,4,22069,7,2,4,1,30,2,0.3,64,Y,-0.35,P,7,P,94,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,515.78946,c 460-520,c 460-520,0.7626813,2 +2,2,22910,3,2,7,3,27.7,2,-0.81,66,Y,-0.97,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,479.4736721,c 460-520,c 460-520,0.7626813,2 +1,1,22977,1,2,7,4,38,2,-1.79,34,Y,-1.43,P,7,P,94,1,4,-27,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,642.105244,f 640-700,f 640-700,0.7626813,2 +9,9,23318,9,2,7,1,48,2,1.04,58,Y,0.92,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,799.999974,g 700+,h 760-820,0.7626813,2 +1,1,24997,1,2,3,3,24,2,-2.1,64,Y,-2.44,F,7,F,95,1,,-57,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,421.052622,b 400-460,b 400-460,0.7626813,2 +10,7,25605,10,2,2,3,40,2,1.71,65,Y,0.46,P,7,P,94,1,5,-58,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,673.68419,f 640-700,f 640-700,0.7626813,2 +3,4,25816,3,2,7,3,28,2,-0.63,50,Y,-0.54,P,7,P,95,1,4,-43,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,484.210514,c 460-520,c 460-520,0.7626813,2 +8,7,25958,8,2,7,3,43,2,0.8,66,Y,0.31,P,7,P,94,1,5,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,721.052609,g 700+,g 700-760,0.7626813,2 +4,5,27102,5,2,3,1,32.5,2,-0.19,59,Y,-0.06,P,7,P,95,2,3,-52,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,555.2631425,d 520-580,d 520-580,0.7626813,2 +1,1,27163,2,2,3,1,34,2,-1.22,63,Y,-1.49,P,6,P,94,1,2,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,578.947352,d 520-580,d 520-580,0.7626813,2 +6,7,27164,6,1,7,6,41,2,0.2,45,Y,0.39,P,7,P,94,1,3,-38,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,689.473663,f 640-700,f 640-700,0.7626813,2 +7,6,168,7,1,7,3,44,2.1,0.51,61,Y,0.09,P,7,P,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.842082,g 700+,g 700-760,0.89989614,2.1 +10,9,672,10,2,7,3,33,2.1,2.17,66,Y,1.05,P,7,P,94,1,2,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,573.157879,d 520-580,d 520-580,0.89989614,2.1 +1,1,1648,1,1,7,4,38,2.1,-1.81,61,Y,-1.82,F,7,F,94,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,0,c Failed,FALSE,5,652.105244,f 640-700,f 640-700,0.89989614,2.1 +6,5,1882,6,2,4,6,30,2.1,0.18,64,Y,-0.17,F,7,F,94,1,2,-57,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,1,525.78946,d 520-580,d 520-580,0.89989614,2.1 +1,1,2212,1,2,7,3,36,2.1,-1.44,57,Y,-1.54,P,7,P,95,2,4,-50,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,620.526298,e 580-640,e 580-640,0.89989614,2.1 +6,10,2223,6,1,7,3,31,2.1,0.14,60,Y,1.48,P,2,P,95,2,3,-58,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,541.578933,d 520-580,d 520-580,0.89989614,2.1 +6,6,2353,6,2,6,4,34,2.1,0.07,68,Y,0.2,P,7,P,94,1,3,-61,male,0,1,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,588.947352,e 580-640,e 580-640,0.89989614,2.1 +,,2791,,2,7,3,39,2.1,,60,Y,,P,7,P,95,2,2,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,667.894717,f 640-700,f 640-700,0.89989614,2.1 +2,3,3002,2,2,7,1,33.5,2.1,-0.94,63,Y,-0.64,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,581.0526155,e 580-640,e 580-640,0.89989614,2.1 +6,3,3020,6,2,7,1,36,2.1,0.22,65,Y,-0.6,P,7,P,94,1,3,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,620.526298,e 580-640,e 580-640,0.89989614,2.1 +3,7,3370,4,2,7,2,30,2.1,-0.47,63,Y,0.23,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,525.78946,d 520-580,d 520-580,0.89989614,2.1 +2,4,3475,3,1,3,6,15,2.1,-0.61,64,Y,-0.49,F,7,F,94,1,3,-57,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,288.947365,a under 400,a under 400,0.89989614,2.1 +2,1,3489,2,2,7,2,43,2.1,-0.89,66,Y,-1.36,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,731.052609,g 700+,g 700-760,0.89989614,2.1 +10,9,3800,10,2,7,3,36,2.1,1.57,63,Y,0.95,P,2,P,95,2,3,-61,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,620.526298,e 580-640,e 580-640,0.89989614,2.1 +6,5,3830,6,1,7,3,35.5,2.1,0.06,57,Y,-0.08,P,7,P,94,1,4,-50,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,612.6315615,e 580-640,e 580-640,0.89989614,2.1 +9,10,3864,9,2,7,3,33,2.1,1.23,40,Y,1.46,P,7,P,94,2,2,-33,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,573.157879,d 520-580,d 520-580,0.89989614,2.1 +4,5,4131,5,1,3,6,24,2.1,-0.2,60,Y,-0.2,F,2,F,96,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,431.052622,b 400-460,b 400-460,0.89989614,2.1 +9,8,4244,9,2,7,1,32,2.1,1.28,55,Y,0.66,P,7,P,94,2,3,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,557.368406,d 520-580,d 520-580,0.89989614,2.1 +2,1,4432,3,2,2,3,37,2.1,-0.7,67,Y,-1.32,P,7,P,94,1,3,-60,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,3,636.315771,e 580-640,e 580-640,0.89989614,2.1 +5,6,4606,5,2,7,3,36,2.1,-0.07,56,Y,-0.02,P,7,P,93,1,3,-49,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,620.526298,e 580-640,e 580-640,0.89989614,2.1 +2,1,4774,2,1,3,3,28,2.1,-1.06,70,Y,-1.97,F,7,F,95,1,3,-63,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,494.210514,c 460-520,c 460-520,0.89989614,2.1 +4,2,4839,5,1,3,6,21,2.1,-0.1,63,Y,-1.28,F,7,F,94,1,,-56,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,383.684203,a under 400,a under 400,0.89989614,2.1 +1,1,5159,1,2,3,2,28,2.1,-1.32,56,Y,-1.4,P,7,P,95,1,2,-49,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,2,494.210514,c 460-520,c 460-520,0.89989614,2.1 +8,9,5265,8,2,3,6,41,2.1,0.71,64,Y,1.15,P,7,P,94,1,4,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,699.473663,f 640-700,f 640-700,0.89989614,2.1 +8,7,5398,8,2,7,1,34,2.1,0.74,60,Y,0.46,P,7,P,94,2,3,-53,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,588.947352,e 580-640,e 580-640,0.89989614,2.1 +5,2,5504,5,2,3,3,39,2.1,-0.11,59,Y,-1.3,P,2,P,94,1,4,-57,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,667.894717,f 640-700,f 640-700,0.89989614,2.1 +1,1,5638,1,1,3,1,31,2.1,-2.78,64,Y,-2.56,P,7,P,94,1,2,-57,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,541.578933,d 520-580,d 520-580,0.89989614,2.1 +8,4,6423,8,2,7,2,37,2.1,0.57,67,Y,-0.33,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,636.315771,e 580-640,e 580-640,0.89989614,2.1 +,,6434,,1,5,3,28,2.1,,62,Y,,P,7,P,94,1,3,-55,female,0,0,hisp,c other,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,494.210514,c 460-520,c 460-520,0.89989614,2.1 +10,9,6908,10,2,7,1,39,2.1,1.61,57,Y,1.02,P,7,P,94,1,,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,667.894717,f 640-700,f 640-700,0.89989614,2.1 +1,1,7286,2,1,3,6,18.3,2.1,-1.15,67,Y,-1.38,F,7,F,94,1,3,-60,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,341.0526259,a under 400,a under 400,0.89989614,2.1 +4,5,7492,4,1,7,3,33.5,2.1,-0.36,65,Y,-0.25,P,7,P,94,1,,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,581.0526155,e 580-640,e 580-640,0.89989614,2.1 +4,6,8427,5,1,3,3,30,2.1,-0.17,59,Y,0.07,F,7,F,95,2,3,-52,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,525.78946,d 520-580,d 520-580,0.89989614,2.1 +1,2,8658,1,2,7,3,38,2.1,-1.3,68,Y,-1.08,P,7,P,94,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,652.105244,f 640-700,f 640-700,0.89989614,2.1 +,,8935,,2,7,,31,2.1,0.16,62,Y,0.23,P,2,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,541.578933,d 520-580,d 520-580,0.89989614,2.1 +6,6,8982,6,1,7,3,35,2.1,0.11,55,Y,-0.01,P,7,P,94,1,4,-48,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,604.736825,e 580-640,e 580-640,0.89989614,2.1 +2,5,9207,3,1,3,6,32,2.1,-0.62,65,Y,-0.27,P,7,P,94,1,5,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,557.368406,d 520-580,d 520-580,0.89989614,2.1 +2,1,9359,2,2,7,2,33.5,2.1,-0.9,64,Y,-1.81,F,7,P,95,1,4,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,581.0526155,e 580-640,e 580-640,0.89989614,2.1 +3,2,10396,3,2,2,3,32,2.1,-0.53,65,Y,-1.26,F,7,P,95,1,2,-58,male,0,1,asian,c other,NO,0,1,0,0,1,b Passed 2nd time,TRUE,3,557.368406,d 520-580,d 520-580,0.89989614,2.1 +8,8,10405,9,2,7,6,25.5,2.1,0.88,66,Y,0.67,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,454.7368315,b 400-460,b 400-460,0.89989614,2.1 +1,1,10673,1,2,3,1,25,2.1,-2.54,48,Y,-2.96,F,7,F,95,1,2,-41,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,446.842095,b 400-460,b 400-460,0.89989614,2.1 +3,3,10878,3,1,3,3,29,2.1,-0.6,58,Y,-0.68,P,2,P,95,2,3,-56,female,1,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,509.999987,c 460-520,c 460-520,0.89989614,2.1 +3,2,10988,3,1,3,3,28.5,2.1,-0.58,68,Y,-1.04,P,7,P,94,1,2,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,502.1052505,c 460-520,c 460-520,0.89989614,2.1 +7,2,11102,7,2,7,3,34,2.1,0.47,65,Y,-0.95,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,588.947352,e 580-640,e 580-640,0.89989614,2.1 +1,1,11469,1,2,3,1,22.5,2.1,-2.16,58,Y,-2.33,F,7,F,95,1,2,-51,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,407.3684125,b 400-460,b 400-460,0.89989614,2.1 +10,10,11631,10,2,7,2,40,2.1,1.32,68,Y,1.94,P,7,P,94,1,4,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,683.68419,f 640-700,f 640-700,0.89989614,2.1 +,,11832,,2,3,1,29,2.1,,63,Y,,F,7,F,94,1,3,-56,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,509.999987,c 460-520,c 460-520,0.89989614,2.1 +1,1,12105,2,2,3,6,27.5,2.1,-0.98,66,Y,-1.62,F,7,F,94,1,4,-59,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,486.3157775,c 460-520,c 460-520,0.89989614,2.1 +1,1,12295,1,1,7,3,39,2.1,-1.84,64,Y,-1.81,F,7,P,96,1,5,-57,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,667.894717,f 640-700,f 640-700,0.89989614,2.1 +7,6,12417,7,2,7,3,40,2.1,0.48,55,Y,0.15,P,7,P,95,2,2,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.68419,f 640-700,f 640-700,0.89989614,2.1 +8,10,12834,9,2,7,1,31,2.1,0.9,63,Y,1.69,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,541.578933,d 520-580,d 520-580,0.89989614,2.1 +1,1,13077,1,1,3,4,23.5,2.1,-2.13,64,Y,-1.71,F,2,P,95,1,2,-62,female,0,0,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,5,423.1578855,b 400-460,b 400-460,0.89989614,2.1 +6,6,13329,7,2,7,3,42,2.1,0.25,65,Y,-0.01,P,7,P,94,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,715.263136,g 700+,g 700-760,0.89989614,2.1 +3,4,13360,4,2,3,6,29,2.1,-0.56,55,Y,-0.45,P,7,P,94,1,3,-48,male,0,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,509.999987,c 460-520,c 460-520,0.89989614,2.1 +1,1,14084,1,1,1,1,26,2.1,-1.62,62,Y,-1.85,F,2,F,95,1,2,-60,female,0,0,other,c other,NO,1,0,0,1,0,c Failed,FALSE,4,462.631568,c 460-520,c 460-520,0.89989614,2.1 +3,1,14164,3,2,7,3,33,2.1,-0.62,66,Y,-1.35,P,7,P,94,1,4,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,573.157879,d 520-580,d 520-580,0.89989614,2.1 +,,14583,1,1,3,3,27,2.1,-1.61,60,X,,F,2,F,95,2,2,-58,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,478.421041,c 460-520,c 460-520,0.89989614,2.1 +3,3,14678,3,2,7,3,45,2.1,-0.55,49,Y,-0.76,P,7,P,94,1,3,-42,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,762.631555,g 700+,h 760-820,0.89989614,2.1 +1,1,14957,1,1,3,3,29,2.1,-1.3,65,Y,-1.98,P,7,P,94,1,4,-58,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,509.999987,c 460-520,c 460-520,0.89989614,2.1 +7,8,15051,7,2,7,3,32,2.1,0.48,62,Y,0.83,P,7,P,94,1,4,-55,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,557.368406,d 520-580,d 520-580,0.89989614,2.1 +5,5,15167,5,2,7,2,33,2.1,-0.12,57,Y,-0.13,P,7,P,94,1,3,-50,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,573.157879,d 520-580,d 520-580,0.89989614,2.1 +5,5,15213,5,1,7,3,36,2.1,-0.13,48,Y,-0.05,P,7,P,94,1,3,-41,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,620.526298,e 580-640,e 580-640,0.89989614,2.1 +1,3,15466,1,2,7,4,37,2.1,-2.04,43,Y,-0.61,F,2,P,95,1,2,-41,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,5,636.315771,e 580-640,e 580-640,0.89989614,2.1 +10,10,15607,10,2,7,3,44,2.1,2.11,66,Y,1.93,P,2,P,94,1,5,-64,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.842082,g 700+,g 700-760,0.89989614,2.1 +5,5,16095,6,2,7,2,37,2.1,-0.01,65,Y,-0.16,P,2,P,94,1,4,-63,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,636.315771,e 580-640,e 580-640,0.89989614,2.1 +7,7,16531,7,1,2,2,37,2.1,0.36,66,Y,0.26,P,7,P,94,1,3,-59,female,0,0,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,2,636.315771,e 580-640,e 580-640,0.89989614,2.1 +4,3,16672,4,2,7,3,40,2.1,-0.28,58,Y,-0.72,P,7,P,94,1,4,-51,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.68419,f 640-700,f 640-700,0.89989614,2.1 +1,2,17021,1,2,3,1,29,2.1,-1.41,56,Y,-1.31,F,2,P,96,2,4,-54,male,1,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,4,509.999987,c 460-520,c 460-520,0.89989614,2.1 +1,1,17276,1,1,7,3,38,2.1,-2.18,46,Y,-1.46,F,7,P,96,1,5,-39,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,652.105244,f 640-700,f 640-700,0.89989614,2.1 +5,7,17436,5,2,7,3,43,2.1,-0.1,61,Y,0.28,P,7,P,95,2,4,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,731.052609,g 700+,g 700-760,0.89989614,2.1 +3,3,17563,3,2,6,3,28,2.1,-0.66,67,Y,-0.82,F,2,F,94,1,3,-65,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,494.210514,c 460-520,c 460-520,0.89989614,2.1 +6,4,17564,6,2,7,3,44,2.1,0.07,68,Y,-0.42,P,7,P,94,1,5,-61,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.842082,g 700+,g 700-760,0.89989614,2.1 +,,18074,,2,7,,30,2.1,0.99,62,Y,1.1,P,7,P,94,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,,525.78946,d 520-580,d 520-580,0.89989614,2.1 +,,18291,,2,2,1,32,2.1,,64,X,,F,7,F,95,2,5,-57,male,1,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,4,557.368406,d 520-580,d 520-580,0.89989614,2.1 +8,9,18451,8,2,7,2,42,2.1,0.59,67,Y,1.17,P,7,P,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,715.263136,g 700+,g 700-760,0.89989614,2.1 +4,6,18810,4,2,7,3,31.7,2.1,-0.28,59,Y,0.18,P,7,P,95,2,3,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,552.6315641,d 520-580,d 520-580,0.89989614,2.1 +1,1,18895,1,2,1,6,30,2.1,-1.92,65,Y,-1.96,P,7,P,94,1,3,-58,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,1,525.78946,d 520-580,d 520-580,0.89989614,2.1 +3,2,19093,3,2,7,3,32,2.1,-0.55,38,Y,-1,F,7,F,94,1,4,-31,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,557.368406,d 520-580,d 520-580,0.89989614,2.1 +3,2,19276,3,2,7,1,31,2.1,-0.66,42,Y,-0.99,P,6,P,93,1,4,-36,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,541.578933,d 520-580,d 520-580,0.89989614,2.1 +4,3,19543,4,2,7,3,40,2.1,-0.41,62,Y,-0.69,P,2,P,95,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,683.68419,f 640-700,f 640-700,0.89989614,2.1 +10,10,19738,10,2,7,4,38,2.1,1.68,50,Y,1.93,P,7,P,95,2,3,-43,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,652.105244,f 640-700,f 640-700,0.89989614,2.1 +2,2,19943,3,2,7,3,34,2.1,-0.8,69,Y,-1.29,P,7,P,94,1,4,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,588.947352,e 580-640,e 580-640,0.89989614,2.1 +10,10,20531,10,2,7,2,39,2.1,1.65,69,Y,2.08,P,7,P,94,1,5,-62,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,667.894717,f 640-700,f 640-700,0.89989614,2.1 +1,2,20544,2,1,3,6,15,2.1,-1.22,59,Y,-0.91,F,7,F,94,1,4,-52,female,0,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,288.947365,a under 400,a under 400,0.89989614,2.1 +6,7,21508,7,2,7,1,37,2.1,0.32,54,Y,0.4,P,7,P,94,1,2,-47,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,636.315771,e 580-640,e 580-640,0.89989614,2.1 +2,2,22125,3,2,7,3,25.5,2.1,-0.77,55,Y,-1.2,P,7,P,95,2,5,-48,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,454.7368315,b 400-460,b 400-460,0.89989614,2.1 +8,8,22221,8,1,3,6,32.5,2.1,0.76,66,Y,0.64,P,7,P,94,1,3,-59,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,1,565.2631425,d 520-580,d 520-580,0.89989614,2.1 +1,1,22327,1,1,3,2,21,2.1,-1.79,58,Y,-1.77,F,7,F,95,2,4,-51,female,1,0,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,383.684203,a under 400,a under 400,0.89989614,2.1 +9,8,23024,9,2,7,3,43,2.1,1.24,61,Y,0.76,P,7,P,94,1,4,-54,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,731.052609,g 700+,g 700-760,0.89989614,2.1 +8,10,23104,8,2,7,3,38,2.1,0.73,62,Y,1.47,P,7,P,95,2,4,-55,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,652.105244,f 640-700,f 640-700,0.89989614,2.1 +1,1,23460,1,2,3,2,23,2.1,-1.52,65,Y,-1.84,F,7,F,94,1,3,-58,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,2,415.263149,b 400-460,b 400-460,0.89989614,2.1 +4,4,23629,5,2,7,3,36,2.1,-0.19,59,Y,-0.38,F,2,P,95,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,620.526298,e 580-640,e 580-640,0.89989614,2.1 +3,3,24030,4,2,7,6,24,2.1,-0.38,67,Y,-0.79,F,7,F,94,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,1,431.052622,b 400-460,b 400-460,0.89989614,2.1 +9,10,24191,9,2,7,3,41,2.1,0.92,66,Y,1.39,P,7,P,95,2,3,-59,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,699.473663,f 640-700,f 640-700,0.89989614,2.1 +10,10,24330,10,2,7,3,38,2.1,3.04,63,Y,3.45,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,652.105244,f 640-700,f 640-700,0.89989614,2.1 +5,5,25123,6,2,7,2,31,2.1,0.04,56,Y,-0.3,F,7,P,95,2,4,-49,male,1,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,541.578933,d 520-580,d 520-580,0.89989614,2.1 +7,9,25875,7,2,7,3,44,2.1,0.36,59,Y,0.94,P,7,P,95,2,4,-52,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,746.842082,g 700+,g 700-760,0.89989614,2.1 +1,1,25965,1,2,7,3,28.5,2.1,-1.88,68,Y,-2.39,F,7,P,95,1,3,-61,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,502.1052505,c 460-520,c 460-520,0.89989614,2.1 +4,7,26145,4,2,7,2,35.5,2.1,-0.32,64,Y,0.41,P,7,P,94,1,1,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,612.6315615,e 580-640,e 580-640,0.89989614,2.1 +1,1,26257,2,2,3,3,26,2.1,-1.28,63,Y,-1.68,F,2,F,95,2,3,-61,male,1,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,3,462.631568,c 460-520,c 460-520,0.89989614,2.1 +2,2,26320,2,1,3,1,32,2.1,-1.12,68,Y,-0.91,P,7,P,94,1,3,-61,female,0,0,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,4,557.368406,d 520-580,d 520-580,0.89989614,2.1 +3,1,26403,3,2,7,2,36.5,2.1,-0.57,67,Y,-1.56,F,7,P,95,1,3,-60,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,2,628.4210345,e 580-640,e 580-640,0.89989614,2.1 +1,1,26473,1,2,6,3,24.7,2.1,-1.82,64,Y,-2.53,F,2,F,96,1,5,-62,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,3,442.1052531,b 400-460,b 400-460,0.89989614,2.1 +9,4,27403,9,2,7,4,40.5,2.1,1.26,66,Y,-0.33,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,691.5789265,f 640-700,f 640-700,0.89989614,2.1 +5,6,378,5,2,2,6,30.7,1.9,-0.02,66,Y,0.03,F,2,F,95,1,4,-64,male,0,1,asian,c other,NO,0,1,0,0,0,c Failed,FALSE,1,516.8420911,c 460-520,c 460-520,0.8571932,1.9 +2,2,2736,2,2,3,6,37,1.9,-0.96,68,Y,-1.23,F,7,F,94,1,4,-61,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,616.315771,e 580-640,e 580-640,0.8571932,1.9 +9,8,8017,9,2,7,2,40,1.9,1.05,67,Y,0.56,P,7,P,94,1,4,-60,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,663.68419,f 640-700,f 640-700,0.8571932,1.9 +9,6,8688,9,2,2,6,31,1.9,0.93,62,Y,0.12,P,7,P,94,1,3,-55,male,0,1,asian,c other,NO,0,1,0,0,1,a Passed 1st time,TRUE,1,521.578933,d 520-580,d 520-580,0.8571932,1.9 +2,3,9987,3,1,7,3,35.5,1.9,-0.73,62,Y,-0.64,P,2,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,592.6315615,e 580-640,e 580-640,0.8571932,1.9 +10,10,15165,10,2,7,3,45,1.9,1.59,48,Y,1.73,P,7,P,94,1,4,-41,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,742.631555,g 700+,g 700-760,0.8571932,1.9 +6,4,15971,7,1,7,6,39,1.9,0.35,65,Y,-0.53,P,7,P,94,1,3,-58,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,647.894717,f 640-700,f 640-700,0.8571932,1.9 +,,16126,9,2,7,4,33,1.9,1.05,65,Y,,P,7,P,95,2,4,-58,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,553.157879,d 520-580,d 520-580,0.8571932,1.9 +1,1,17866,1,2,3,1,31.5,1.9,-2.13,67,Y,-2.33,F,7,F,95,1,2,-60,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,4,529.4736695,d 520-580,d 520-580,0.8571932,1.9 +8,3,19013,8,1,7,3,43,1.9,0.75,67,Y,-0.65,P,7,P,94,1,5,-60,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,711.052609,g 700+,g 700-760,0.8571932,1.9 +,,19746,,1,7,6,31.5,1.9,,63,Y,,P,7,P,94,1,3,-56,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,529.4736695,d 520-580,d 520-580,0.8571932,1.9 +2,1,21977,3,2,3,2,22.5,1.9,-0.79,66,Y,-1.38,F,7,P,95,1,3,-59,male,0,1,black,a black,NO,0,0,1,0,1,b Passed 2nd time,TRUE,2,387.3684125,a under 400,a under 400,0.8571932,1.9 +2,1,22019,3,2,1,1,29,1.9,-0.81,65,Y,-1.41,P,7,P,95,1,3,-58,male,0,1,other,c other,NO,1,0,0,1,1,a Passed 1st time,TRUE,4,489.999987,c 460-520,c 460-520,0.8571932,1.9 +1,2,22271,1,2,7,3,41,1.9,-1.79,65,Y,-1.28,F,7,F,95,1,4,-58,male,0,1,white,b white,NO,0,0,0,0,0,c Failed,FALSE,3,679.473663,f 640-700,f 640-700,0.8571932,1.9 +2,4,22727,3,2,7,3,35,1.9,-0.82,58,Y,-0.34,F,7,P,96,1,3,-51,male,0,1,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,584.736825,e 580-640,e 580-640,0.8571932,1.9 +2,1,23778,2,2,3,6,20.5,1.9,-0.88,60,Y,-2.13,F,2,F,95,1,,-58,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,355.7894665,a under 400,a under 400,0.8571932,1.9 +4,5,24730,5,1,7,3,42,1.9,-0.22,66,Y,-0.27,P,7,P,94,1,4,-59,female,0,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,695.263136,f 640-700,f 640-700,0.8571932,1.9 +5,3,24895,5,2,7,1,39,1.9,-0.14,66,Y,-0.56,P,7,P,94,1,3,-59,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,647.894717,f 640-700,f 640-700,0.8571932,1.9 +2,9,25932,2,2,7,6,34.5,1.9,-0.93,61,Y,1,P,7,P,94,2,3,-54,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,576.8420885,d 520-580,d 520-580,0.8571932,1.9 +1,1,27109,1,2,5,1,32,1.9,-1.9,59,Y,-1.39,F,2,F,95,1,3,-57,male,0,1,hisp,c other,NO,0,0,0,0,0,c Failed,FALSE,4,537.368406,d 520-580,d 520-580,0.8571932,1.9 +4,6,27342,4,2,7,2,32,1.9,-0.39,67,Y,0.15,P,2,P,95,2,4,-65,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,2,537.368406,d 520-580,d 520-580,0.8571932,1.9 +2,1,1987,2,1,7,3,39.5,1.7,-0.94,61,Y,-1.42,F,7,P,95,1,4,-54,female,0,0,white,b white,NO,0,0,0,0,1,b Passed 2nd time,TRUE,3,635.7894535,e 580-640,e 580-640,0.8042084,1.7 +8,9,2675,8,2,7,3,37,1.7,0.82,58,Y,0.87,P,2,P,94,1,3,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,596.315771,e 580-640,e 580-640,0.8042084,1.7 +7,6,5036,7,2,7,6,40,1.7,0.52,63,Y,0.11,P,7,P,94,1,4,-56,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,643.68419,f 640-700,f 640-700,0.8042084,1.7 +8,10,7366,8,1,7,3,42,1.7,0.57,66,Y,1.47,P,7,P,94,2,4,-59,female,1,0,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,675.263136,f 640-700,f 640-700,0.8042084,1.7 +,,11388,,2,7,6,37,1.7,,53,Y,,P,7,P,94,1,3,-46,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,596.315771,e 580-640,e 580-640,0.8042084,1.7 +6,4,5363,6,2,7,4,41,1.8,0.21,50,Y,-0.45,P,7,P,95,2,4,-43,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,5,669.473663,f 640-700,f 640-700,0.55756795,1.8 +8,4,5944,8,2,7,1,32,1.8,0.65,58,Y,-0.41,P,2,P,94,2,4,-56,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,4,527.368406,d 520-580,d 520-580,0.55756795,1.8 +9,6,7260,9,2,3,6,31,1.8,0.95,55,Y,0.09,F,2,F,95,1,2,-53,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,511.578933,c 460-520,c 460-520,0.55756795,1.8 +1,1,10375,1,2,1,2,25,1.8,-1.72,53,Y,-1.84,F,7,F,94,1,3,-46,male,0,1,other,c other,NO,1,0,0,1,0,c Failed,FALSE,2,416.842095,b 400-460,b 400-460,0.55756795,1.8 +3,1,10695,3,2,3,6,26.5,1.8,-0.58,64,Y,-1.49,F,2,F,95,1,2,-62,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,440.5263045,b 400-460,b 400-460,0.55756795,1.8 +2,1,19642,3,2,3,6,19.7,1.8,-0.64,64,Y,-1.36,F,7,F,94,1,3,-57,male,0,1,black,a black,NO,0,0,1,0,0,c Failed,FALSE,1,333.1578881,a under 400,a under 400,0.55756795,1.8 +7,8,24704,7,2,3,3,36,1.8,0.41,66,Y,0.8,P,7,P,95,2,3,-59,male,1,1,black,a black,NO,0,0,1,0,1,a Passed 1st time,TRUE,3,590.526298,e 580-640,e 580-640,0.55756795,1.8 +10,10,10000,10,2,7,3,44,1.5,1.88,58,Y,1.42,P,7,P,95,2,3,-51,male,1,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,3,686.842082,f 640-700,f 640-700,0.7591277,1.5 +9,8,10684,9,2,7,6,29.5,1.6,1.1,59,Y,0.81,P,2,P,94,1,3,-57,male,0,1,white,b white,NO,0,0,0,0,1,a Passed 1st time,TRUE,1,467.8947235,c 460-520,c 460-520,0.33073983,1.6 diff --git a/data/baseline_adult.csv b/data/baseline_adult.csv new file mode 100644 index 0000000..a9d09a1 --- /dev/null +++ b/data/baseline_adult.csv @@ -0,0 +1,32562 @@ +age,workclass,fnlwgt,education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-country,income-per-year +39,State-gov,77516,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K +50,Self-emp-not-inc,83311,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,13,United-States,<=50K +38,Private,215646,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,234721,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,338409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,Cuba,<=50K +37,Private,284582,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,160187,9th,5,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,16,Jamaica,<=50K +52,Self-emp-not-inc,209642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Private,45781,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,50,United-States,>50K +42,Private,159449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +37,Private,280464,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,80,United-States,>50K +30,State-gov,141297,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +23,Private,122272,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,205019,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K +40,Private,121772,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +34,Private,245487,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,45,Mexico,<=50K +25,Self-emp-not-inc,176756,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +32,Private,186824,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,28887,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +43,Self-emp-not-inc,292175,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,>50K +40,Private,193524,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +54,Private,302146,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +35,Federal-gov,76845,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,117037,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2042,40,United-States,<=50K +59,Private,109015,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Local-gov,216851,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,168294,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +54,?,180211,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,60,South,>50K +39,Private,367260,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,80,United-States,<=50K +49,Private,193366,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Local-gov,190709,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,52,United-States,<=50K +20,Private,266015,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,44,United-States,<=50K +45,Private,386940,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Male,0,1408,40,United-States,<=50K +30,Federal-gov,59951,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,State-gov,311512,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,15,United-States,<=50K +48,Private,242406,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K +21,Private,197200,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,544091,HS-grad,9,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,<=50K +31,Private,84154,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,?,>50K +48,Self-emp-not-inc,265477,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,507875,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +53,Self-emp-not-inc,88506,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,172987,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,94638,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,289980,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +57,Federal-gov,337895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +53,Private,144361,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +44,Private,128354,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +41,State-gov,101603,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,271466,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +25,Private,32275,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Other,Female,0,0,40,United-States,<=50K +18,Private,226956,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,?,<=50K +47,Private,51835,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,60,Honduras,>50K +50,Federal-gov,251585,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +47,Self-emp-inc,109832,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Private,237993,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +46,Private,216666,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +35,Private,56352,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +41,Private,147372,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +30,Private,188146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K +30,Private,59496,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2407,0,40,United-States,<=50K +32,?,293936,7th-8th,4,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,?,<=50K +48,Private,149640,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,116632,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +29,Private,105598,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,58,United-States,<=50K +36,Private,155537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,183175,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,169846,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +49,Self-emp-inc,191681,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,?,200681,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,101509,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,32,United-States,<=50K +31,Private,309974,Bachelors,13,Separated,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,162298,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +23,Private,211678,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +79,Private,124744,Some-college,10,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,20,United-States,<=50K +27,Private,213921,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +40,Private,32214,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +67,?,212759,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +18,Private,309634,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,22,United-States,<=50K +31,Local-gov,125927,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,446839,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +52,Private,276515,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Cuba,<=50K +46,Private,51618,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +59,Private,159937,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +44,Private,343591,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,14344,0,40,United-States,>50K +53,Private,346253,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +49,Local-gov,268234,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +33,Private,202051,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,54334,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,410867,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +57,Private,249977,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,286730,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,212563,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,25,United-States,<=50K +30,Private,117747,HS-grad,9,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,1573,35,?,<=50K +34,Local-gov,226296,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +29,Local-gov,115585,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Self-emp-not-inc,191277,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K +37,Private,202683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +48,Private,171095,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,England,<=50K +32,Federal-gov,249409,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +76,Private,124191,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +44,Private,198282,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +47,Self-emp-not-inc,149116,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +20,Private,188300,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,103432,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,317660,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +17,?,304873,10th,6,Never-married,?,Own-child,White,Female,34095,0,32,United-States,<=50K +30,Private,194901,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Local-gov,189265,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,124692,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,432376,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Private,65324,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,335605,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1887,50,Canada,>50K +28,Private,377869,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4064,0,25,United-States,<=50K +36,Private,102864,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +53,Private,95647,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +56,Self-emp-inc,303090,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +49,Local-gov,197371,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +55,Private,247552,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,56,United-States,<=50K +22,Private,102632,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K +21,Private,199915,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,118853,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,77143,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,Germany,<=50K +29,State-gov,267989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,301606,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +47,Private,287828,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +20,Private,111697,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1719,28,United-States,<=50K +31,Private,114937,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +35,?,129305,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,365739,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,69621,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,43323,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1762,40,United-States,<=50K +38,Self-emp-not-inc,120985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,35,United-States,<=50K +37,Private,254202,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,146195,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Female,0,0,36,United-States,<=50K +38,Federal-gov,125933,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K +43,Self-emp-not-inc,56920,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,163127,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +20,Private,34310,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +49,Private,81973,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +61,Self-emp-inc,66614,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,232782,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,316868,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,Mexico,<=50K +45,Private,196584,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,40,United-States,>50K +70,Private,105376,Some-college,10,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Private,185814,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K +22,Private,175374,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K +36,Private,108293,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +64,Private,181232,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2179,40,United-States,<=50K +43,?,174662,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Local-gov,186009,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,Mexico,<=50K +34,Private,198183,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,163003,Bachelors,13,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +21,Private,296158,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +52,?,252903,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,45,United-States,>50K +48,Private,187715,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +23,Private,214542,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +71,Self-emp-not-inc,494223,Some-college,10,Separated,Sales,Unmarried,Black,Male,0,1816,2,United-States,<=50K +29,Private,191535,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +42,Private,228456,Bachelors,13,Separated,Other-service,Other-relative,Black,Male,0,0,50,United-States,<=50K +68,?,38317,1st-4th,2,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Private,252752,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,78374,Masters,14,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,Private,88419,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,England,<=50K +45,Self-emp-not-inc,201080,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Private,207157,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +39,Federal-gov,235485,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +46,State-gov,102628,Masters,14,Widowed,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,25828,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +66,Local-gov,54826,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,124953,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,1980,40,United-States,<=50K +28,State-gov,175325,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,96062,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +27,Private,428030,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,State-gov,149624,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,253814,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +21,Private,312956,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,483777,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Private,183930,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +33,Private,37274,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K +44,Local-gov,181344,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,38,United-States,>50K +43,Private,114580,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,633742,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K +40,Private,286370,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,>50K +37,Federal-gov,29054,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K +34,Private,304030,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,143129,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,?,135105,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,99928,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K +58,State-gov,109567,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,1,United-States,>50K +38,Private,155222,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,28,United-States,<=50K +24,Private,159567,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,523910,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +47,Private,120939,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +41,Federal-gov,130760,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,24,United-States,<=50K +23,Private,197387,5th-6th,3,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,Mexico,<=50K +36,Private,99374,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,56795,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,55,United-States,>50K +35,Private,138992,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,7298,0,40,United-States,>50K +24,Self-emp-not-inc,32921,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,397317,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +19,?,170653,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Italy,<=50K +51,Private,259323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Local-gov,254817,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,1340,40,United-States,<=50K +37,State-gov,48211,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +18,Private,140164,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,128757,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,7298,0,36,United-States,>50K +35,Private,36270,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Self-emp-inc,210563,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,15024,0,35,United-States,>50K +17,Private,65368,11th,7,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +44,Local-gov,160943,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +37,Private,208358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,153790,Some-college,10,Never-married,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +60,Private,85815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,125417,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +37,Private,635913,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,60,United-States,>50K +50,Private,313321,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,182609,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Poland,<=50K +45,Private,109434,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +25,Private,255004,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,197860,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +64,?,187656,1st-4th,2,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +90,Private,51744,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,2206,40,United-States,<=50K +54,Private,176681,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,20,United-States,<=50K +53,Local-gov,140359,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,Private,243313,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +60,?,24215,10th,6,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,10,United-States,<=50K +66,Self-emp-not-inc,167687,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1409,0,50,United-States,<=50K +75,Private,314209,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,Columbia,<=50K +65,Private,176796,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,538583,11th,7,Separated,Transport-moving,Not-in-family,Black,Male,3674,0,40,United-States,<=50K +41,Private,130408,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Private,159732,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K +33,Private,110978,Some-college,10,Divorced,Craft-repair,Other-relative,Other,Female,0,0,40,United-States,<=50K +28,Private,76714,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +59,State-gov,268700,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,State-gov,170525,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +41,Private,180138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Iran,>50K +38,Local-gov,115076,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +23,Private,115458,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,347890,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,196001,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,<=50K +24,State-gov,273905,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +20,?,119156,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,179488,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K +56,Private,203580,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,?,<=50K +58,Private,236596,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +32,Private,183916,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +40,Private,207578,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,60,United-States,>50K +45,Private,153141,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K +41,Private,112763,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +42,Private,390781,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +59,Local-gov,171328,10th,6,Widowed,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +19,Local-gov,27382,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,259014,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Self-emp-not-inc,303044,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +20,Private,117789,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,172579,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +45,Private,187666,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Private,204518,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,150042,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,98092,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,245918,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +59,Private,146013,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +26,Private,378322,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,257295,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,75,Thailand,>50K +19,?,218956,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,Canada,<=50K +64,Private,21174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,185480,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,222205,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K +61,Private,69867,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,191260,9th,5,Never-married,Other-service,Own-child,White,Male,1055,0,24,United-States,<=50K +50,Self-emp-not-inc,30653,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,2407,0,98,United-States,<=50K +27,Local-gov,209109,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +30,Private,70377,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,477983,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +44,Private,170924,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +35,Private,190174,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,193787,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,279472,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,7298,0,48,United-States,>50K +22,Private,34918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,Germany,<=50K +42,Local-gov,97688,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +34,Private,175413,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Female,0,0,45,United-States,<=50K +60,Private,173960,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,42,United-States,<=50K +21,Private,205759,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +57,Federal-gov,425161,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +41,Private,220531,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +50,Private,176609,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,371987,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,193884,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ecuador,<=50K +36,Private,200352,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,127595,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Local-gov,220419,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +21,Private,231931,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +27,Private,248402,Bachelors,13,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +65,Private,111095,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +37,Self-emp-inc,57424,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +39,?,157443,Masters,14,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,3464,0,40,?,<=50K +24,Private,278130,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,169469,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K +48,Private,146268,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +21,Private,153718,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K +31,Private,217460,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +55,Private,238638,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K +24,Private,303296,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K +43,Private,173321,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,193945,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Private,83082,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,33,United-States,<=50K +35,Private,193815,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-inc,34987,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,>50K +26,Private,59306,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,142897,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7298,0,35,Taiwan,>50K +19,?,860348,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K +36,Self-emp-not-inc,205607,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K +22,Private,199698,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,191954,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +77,Self-emp-not-inc,138714,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,399087,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +29,Private,423158,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,159841,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +39,Self-emp-not-inc,174308,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,50356,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,<=50K +35,Private,186110,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Private,200381,11th,7,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +76,Self-emp-not-inc,174309,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +63,Self-emp-not-inc,78383,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +23,?,211601,Assoc-voc,11,Never-married,?,Own-child,Black,Female,0,0,15,United-States,<=50K +43,Private,187728,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,50,United-States,>50K +58,Self-emp-not-inc,321171,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,127921,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,2050,0,55,United-States,<=50K +41,Private,206565,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K +26,Private,224563,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,178686,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Local-gov,98545,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,242606,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,270942,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,48,Mexico,<=50K +30,Private,94235,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,71195,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +19,Private,104112,HS-grad,9,Never-married,Sales,Unmarried,Black,Male,0,0,30,Haiti,<=50K +45,Private,261192,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +26,Private,94936,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,296478,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +36,State-gov,119272,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K +33,Private,85043,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +22,State-gov,293364,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,241895,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +67,?,36135,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +30,?,151989,Assoc-voc,11,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Private,101128,Assoc-acdm,12,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,25,Iran,<=50K +31,Private,156464,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K +33,Private,117963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,192262,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,111363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,329752,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +59,?,372020,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +38,Federal-gov,95432,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +65,Private,161400,11th,7,Widowed,Other-service,Unmarried,Other,Male,0,0,40,United-States,<=50K +40,Private,96129,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +42,Private,111949,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +26,Self-emp-not-inc,117125,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +36,Private,348022,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K +62,Private,270092,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,180609,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,174575,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1564,45,United-States,>50K +22,Private,410439,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +28,Private,92262,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,183081,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,362589,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +57,Private,212448,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +39,Private,481060,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Federal-gov,185885,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K +17,Private,89821,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +40,State-gov,184018,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,>50K +45,Private,256649,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +44,Private,160323,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Local-gov,350845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +33,Private,267404,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,35633,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,80914,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +38,Private,172927,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +54,Private,174319,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,214955,5th-6th,3,Divorced,Craft-repair,Not-in-family,White,Female,0,2339,45,United-States,<=50K +25,Private,344991,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,108699,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Local-gov,117312,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,396099,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +29,Private,134152,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,162028,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2415,6,United-States,>50K +19,Private,25429,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +19,Private,232392,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +35,Private,220098,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +27,Private,301302,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Self-emp-not-inc,277946,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,State-gov,98101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,?,>50K +34,Private,196164,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +44,Private,115562,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,96975,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +20,?,137300,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,35,United-States,<=50K +25,Private,86872,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +52,Self-emp-inc,132178,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,416103,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,108574,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,State-gov,288353,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +34,Private,227689,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,64,United-States,<=50K +28,Private,166481,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,2179,40,Puerto-Rico,<=50K +41,Private,445382,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,65,United-States,>50K +28,Private,110145,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,317253,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +28,?,123147,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,1887,40,United-States,>50K +32,Private,364657,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +41,Local-gov,42346,Some-college,10,Divorced,Other-service,Not-in-family,Black,Female,0,0,24,United-States,<=50K +24,Private,241951,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,118500,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,188386,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +31,State-gov,1033222,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,92440,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +52,Private,190762,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,426017,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +34,Local-gov,243867,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,State-gov,240283,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,61777,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +17,Private,175024,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,2176,0,18,United-States,<=50K +32,State-gov,92003,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +29,Private,188401,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,228528,10th,6,Never-married,Craft-repair,Unmarried,White,Female,0,0,35,United-States,<=50K +25,Private,133373,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +36,Federal-gov,255191,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1408,40,United-States,<=50K +23,Private,204653,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,72,Dominican-Republic,<=50K +63,Self-emp-inc,222289,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Local-gov,287480,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +80,?,107762,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,24,United-States,<=50K +17,?,202521,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,204116,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K +30,Private,29662,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,>50K +27,Private,116358,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,1980,40,Philippines,<=50K +33,Private,208405,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Local-gov,284843,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Male,594,0,60,United-States,<=50K +34,Local-gov,117018,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,81281,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,340148,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,363425,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,45857,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K +24,Federal-gov,191073,HS-grad,9,Never-married,Armed-Forces,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,116632,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,405855,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +20,Private,298227,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +44,Private,290521,HS-grad,9,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Private,56915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,146538,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +17,?,258872,11th,7,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +19,Private,206399,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,197332,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +60,Private,245062,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,197583,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,>50K +44,Self-emp-not-inc,234885,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +40,Private,72887,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +30,Private,180374,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,351299,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +23,Private,54012,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +32,?,115745,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,116632,Assoc-acdm,12,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +54,Local-gov,288825,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +32,Private,132601,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,193374,1st-4th,2,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,170070,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,126708,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K +52,Private,35598,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,33983,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,192776,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +30,Private,118551,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,16,United-States,>50K +60,Private,201965,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K +22,?,139883,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,285020,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,303990,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +67,Private,49401,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +46,Private,279196,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,211870,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,6,United-States,<=50K +22,Private,281432,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,161155,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,197904,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +33,Private,111746,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Portugal,<=50K +43,Self-emp-not-inc,170721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +28,State-gov,70100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +41,Private,193626,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +52,?,271749,12th,8,Never-married,?,Other-relative,Black,Male,594,0,40,United-States,<=50K +25,Private,189775,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +63,?,401531,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +59,Local-gov,286967,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +45,Local-gov,164427,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,91039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +40,Private,347934,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Federal-gov,371373,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,32220,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,187251,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +33,Private,178107,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,343121,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,United-States,<=50K +20,Private,262749,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,403107,5th-6th,3,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K +26,Private,64293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +72,?,303588,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +23,Local-gov,324960,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Poland,<=50K +62,Local-gov,114060,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,48925,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,180980,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,42,France,<=50K +25,Private,181054,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,388093,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +19,Private,249609,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,8,United-States,<=50K +43,Private,112131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,543162,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,91996,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,141944,Assoc-voc,11,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,1380,42,United-States,<=50K +53,?,251804,5th-6th,3,Widowed,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +32,Private,37070,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Private,337587,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Private,189346,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,?,222216,Assoc-voc,11,Widowed,?,Unmarried,White,Female,0,0,38,United-States,<=50K +25,Private,267044,Some-college,10,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +20,?,214635,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K +21,?,204226,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K +34,Private,108116,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Self-emp-inc,99146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K +50,Private,196232,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +24,Local-gov,248344,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K +37,Local-gov,186035,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +44,Private,177905,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,58,United-States,>50K +28,Private,85812,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +42,Private,221172,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +74,Private,99183,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,9,United-States,<=50K +38,Self-emp-not-inc,190387,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Self-emp-not-inc,202692,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,109339,11th,7,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,46,Puerto-Rico,<=50K +26,Private,108658,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,197202,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,101739,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +67,Private,231559,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,48,United-States,>50K +39,Local-gov,207853,12th,8,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,190942,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,30,United-States,<=50K +29,Private,102345,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,41493,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,?,190027,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,210525,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,133937,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,237903,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,163862,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,201872,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,84179,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,45,United-States,<=50K +58,Private,51662,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,8,United-States,<=50K +35,Local-gov,233327,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,259510,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,36,United-States,<=50K +28,Private,184831,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,245724,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Self-emp-not-inc,27053,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +72,Private,205343,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,229328,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +33,Federal-gov,319560,Assoc-voc,11,Divorced,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,>50K +69,Private,136218,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,54576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,323069,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,?,<=50K +34,Private,148291,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,<=50K +30,Private,152453,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +28,Private,114053,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +54,Private,212960,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +47,Private,264052,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,82804,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,334273,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +20,Private,27337,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +43,Self-emp-inc,188436,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K +45,Private,433665,7th-8th,4,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +29,Self-emp-not-inc,110663,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +47,Private,87490,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,United-States,<=50K +24,Private,354351,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,95469,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,242718,11th,7,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K +37,Private,22463,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K +27,Private,158156,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +29,Private,350162,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Male,0,0,40,United-States,>50K +18,?,165532,12th,8,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +36,Self-emp-not-inc,28738,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +58,Local-gov,283635,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,86646,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +65,?,195733,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +57,Private,69884,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +59,Private,199713,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,181659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,340939,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,197747,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +29,Private,34292,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +18,Private,156764,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,25826,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,47,United-States,>50K +57,Self-emp-inc,103948,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K +42,?,137390,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +55,?,105138,HS-grad,9,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +60,Private,39352,7th-8th,4,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,>50K +31,Private,168387,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,Canada,>50K +23,Private,117789,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,267147,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +23,?,99399,Some-college,10,Never-married,?,Unmarried,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,214242,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +25,Private,200408,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,2174,0,40,United-States,<=50K +49,Private,136455,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +32,Private,239824,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,217039,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,28,United-States,<=50K +60,Private,51290,7th-8th,4,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,175674,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,194404,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,45612,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +51,Private,410114,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,182521,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +36,Local-gov,339772,HS-grad,9,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +17,Private,169658,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K +52,Private,200853,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,6849,0,60,United-States,<=50K +24,Private,247564,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,249909,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +26,Local-gov,208122,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,1055,0,40,United-States,<=50K +27,Private,109881,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,207824,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K +30,Private,369027,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K +50,Self-emp-not-inc,114117,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K +52,Self-emp-inc,51048,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +46,Private,102388,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +23,Private,190483,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,462440,11th,7,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +65,Private,109351,9th,5,Widowed,Priv-house-serv,Unmarried,Black,Female,0,0,24,United-States,<=50K +29,Private,34383,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +47,Private,241832,9th,5,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +30,Private,124187,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,60,United-States,<=50K +34,Private,153614,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +38,Self-emp-not-inc,267556,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,64,United-States,<=50K +33,Private,205469,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,268090,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,United-States,>50K +47,Self-emp-not-inc,165039,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Local-gov,120451,10th,6,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,154374,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K +30,Private,103649,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +58,Self-emp-not-inc,35723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,262601,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K +21,Private,226181,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,175697,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +47,Self-emp-inc,248145,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Cuba,<=50K +52,Self-emp-not-inc,289436,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +26,Private,75654,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +60,Private,199378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,160968,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,188563,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +31,Private,55849,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +50,Self-emp-inc,195322,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +31,Local-gov,402089,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +71,Private,78277,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +58,?,158611,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +30,State-gov,169496,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +20,Private,130959,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,556660,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,4101,0,50,United-States,<=50K +35,Private,292472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +38,State-gov,143774,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +27,Private,288341,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,32,United-States,<=50K +29,State-gov,71592,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +70,?,167358,9th,5,Widowed,?,Unmarried,White,Female,1111,0,15,United-States,<=50K +34,Private,106742,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,219288,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +43,Private,174524,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,335183,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K +35,Private,261293,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,111900,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Local-gov,194360,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +20,Private,81145,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +42,Private,341204,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,8614,0,40,United-States,>50K +27,State-gov,249362,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,40,United-States,<=50K +42,Private,247019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +20,?,114746,11th,7,Married-spouse-absent,?,Own-child,Asian-Pac-Islander,Female,0,1762,40,South,<=50K +24,Private,172146,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1721,40,United-States,<=50K +48,Federal-gov,110457,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,?,80077,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +17,Self-emp-not-inc,368700,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +33,Private,182556,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-inc,219420,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Private,240817,HS-grad,9,Never-married,Sales,Own-child,White,Female,2597,0,40,United-States,<=50K +17,Private,102726,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +32,Private,226267,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,125457,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +58,Self-emp-not-inc,204021,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Local-gov,92262,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K +37,Private,161141,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,>50K +34,Self-emp-not-inc,190290,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,430828,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K +18,State-gov,59342,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K +34,Private,136721,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,?,149422,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,4,United-States,<=50K +45,Local-gov,86644,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K +41,Private,195124,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,Dominican-Republic,<=50K +26,Private,167350,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +54,Local-gov,113000,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,140027,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,45,United-States,<=50K +42,Private,262425,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,316702,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +23,State-gov,335453,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,?,202480,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,45,United-States,<=50K +35,Private,203628,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +31,Private,118710,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K +30,Private,189620,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Poland,<=50K +19,Private,475028,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +36,Local-gov,110866,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,243605,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,1380,40,Cuba,<=50K +21,Private,163870,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +31,Self-emp-not-inc,80145,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,295566,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,25236,0,65,United-States,>50K +44,Private,63042,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Female,0,0,50,United-States,>50K +40,Private,229148,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Jamaica,<=50K +45,Private,242552,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +60,Private,177665,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +18,Private,208103,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +28,Private,296450,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,70282,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,271767,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +40,Private,144995,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,40,United-States,<=50K +36,Local-gov,382635,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,Honduras,<=50K +31,Private,295697,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,194141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,State-gov,378418,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,214399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +34,Private,217460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,182556,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,125831,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,60,United-States,<=50K +29,Private,271328,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K +50,Local-gov,50459,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +42,Private,162140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +43,Private,177937,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,>50K +44,Private,111502,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,299047,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +31,Private,223212,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +65,Self-emp-not-inc,118474,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,59,?,>50K +23,Private,352139,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +55,Private,173093,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +26,Private,181655,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2377,45,United-States,<=50K +25,Private,332702,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +45,?,51164,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K +35,Private,234901,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +36,Private,131414,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,36,United-States,<=50K +43,State-gov,260960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,156052,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,594,0,20,United-States,<=50K +42,Private,279914,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,192453,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +55,Self-emp-not-inc,200939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K +42,Private,151408,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,50,United-States,>50K +26,Private,112847,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,316929,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +42,Local-gov,126319,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +55,Private,197422,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K +32,Private,267736,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,267034,11th,7,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,Haiti,<=50K +46,State-gov,193047,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K +29,State-gov,356089,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +22,Private,223515,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K +58,Self-emp-not-inc,87510,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,145111,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +39,Private,48093,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,31757,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K +54,Private,285854,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,120064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +46,Federal-gov,167381,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Private,103408,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,101460,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +59,Local-gov,420537,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K +34,Local-gov,119411,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,Portugal,<=50K +53,Self-emp-inc,128272,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +51,Private,386773,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,>50K +32,Private,283268,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,42,United-States,<=50K +31,State-gov,301526,Some-college,10,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,151790,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,Germany,<=50K +47,Self-emp-not-inc,106252,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Private,188557,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,171114,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,38,United-States,<=50K +37,Private,327323,5th-6th,3,Separated,Farming-fishing,Not-in-family,White,Male,0,0,32,Guatemala,<=50K +31,Private,244147,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,55,United-States,<=50K +37,Private,280282,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,>50K +55,Private,116442,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +23,Local-gov,282579,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,56,United-States,<=50K +36,Private,51838,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,73585,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +43,Private,226902,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +54,Private,279129,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,State-gov,146908,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +28,Private,196690,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1669,42,United-States,<=50K +40,Private,130760,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Self-emp-not-inc,49572,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,237601,Bachelors,13,Never-married,Sales,Not-in-family,Other,Female,0,0,55,United-States,>50K +42,Private,169628,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,38,United-States,<=50K +61,Self-emp-not-inc,36671,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2352,50,United-States,<=50K +18,Private,231193,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +59,?,192130,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +21,?,149704,HS-grad,9,Never-married,?,Not-in-family,White,Female,1055,0,40,United-States,<=50K +48,Private,102102,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +41,Self-emp-inc,32185,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,?,196061,Some-college,10,Never-married,?,Own-child,White,Male,0,0,33,United-States,<=50K +23,Private,211046,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,2463,0,40,United-States,<=50K +60,Private,31577,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +22,Private,162343,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K +61,Private,128831,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,316688,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,90758,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,>50K +43,Private,274363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,England,>50K +43,Private,154538,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,106085,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,1721,30,United-States,<=50K +68,Self-emp-not-inc,315859,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K +31,Private,51471,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +17,Private,193830,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,231043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,48,United-States,>50K +50,?,23780,Masters,14,Married-spouse-absent,?,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,169879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,47,United-States,>50K +64,Private,270333,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,138768,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +30,Private,191571,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K +22,?,219941,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +43,Private,94113,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,137510,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,32607,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +47,Self-emp-not-inc,93208,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,75,Italy,<=50K +41,Private,254440,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +56,Private,186556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +64,Private,169871,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,191277,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +48,Private,167159,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,171871,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,<=50K +29,Private,154411,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,129227,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,110331,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,60,United-States,<=50K +57,Private,34269,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,653,42,United-States,>50K +62,Private,174355,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,680390,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,24,United-States,<=50K +43,Private,233130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K +24,Self-emp-inc,165474,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +42,?,257780,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +53,Private,194259,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,4386,0,40,United-States,>50K +26,Private,280093,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +73,Self-emp-not-inc,177387,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +72,?,28929,11th,7,Widowed,?,Not-in-family,White,Female,0,0,24,United-States,<=50K +55,Private,105304,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,499233,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,180572,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +24,Private,321435,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +63,Private,86108,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,6,United-States,<=50K +17,Private,198124,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,135162,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,146813,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +62,Local-gov,291175,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +55,Private,387569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +43,Private,102895,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Local-gov,33274,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,86551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,138192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,118966,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,18,United-States,<=50K +61,Private,99784,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +26,Private,90980,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +46,Self-emp-not-inc,177407,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,96467,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,State-gov,327886,Doctorate,16,Divorced,Prof-specialty,Own-child,White,Male,0,0,50,United-States,>50K +34,Private,111567,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +34,Local-gov,166545,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,142182,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +34,Private,188798,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,38563,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,56,United-States,>50K +18,Private,216284,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +43,Private,191547,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,285335,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Self-emp-inc,142712,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,80945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,309055,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +21,Private,62339,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,368700,11th,7,Never-married,Sales,Own-child,White,Male,0,0,28,United-States,<=50K +39,Private,176186,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +29,Self-emp-not-inc,266855,Bachelors,13,Separated,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,48087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,121313,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +71,Self-emp-not-inc,143437,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K +51,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,2415,40,China,>50K +55,Private,282753,5th-6th,3,Divorced,Other-service,Unmarried,Black,Male,0,0,25,United-States,<=50K +41,Private,194636,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Private,153044,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,7,United-States,<=50K +38,Private,411797,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,117683,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +19,Private,376540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,72393,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,270335,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,Philippines,>50K +27,Private,96226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +38,Private,95336,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +33,Private,258498,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,60,United-States,<=50K +63,?,149698,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +23,Private,205865,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,28,United-States,<=50K +33,Self-emp-inc,155781,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,<=50K +54,Self-emp-not-inc,406468,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,177119,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,2174,0,45,United-States,<=50K +48,?,144397,Some-college,10,Divorced,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +35,Self-emp-not-inc,372525,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,164170,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,India,<=50K +37,Private,183800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +42,Self-emp-not-inc,177307,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K +40,Private,170108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,341995,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +22,Private,226508,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K +30,Private,87418,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Private,109165,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +63,Local-gov,28856,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K +51,Self-emp-not-inc,175897,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +22,Private,99697,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +27,?,90270,Assoc-acdm,12,Married-civ-spouse,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Private,152375,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Private,171550,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K +37,Private,211154,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K +24,Private,202570,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,15,United-States,<=50K +37,Self-emp-not-inc,168496,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +53,Private,68898,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,93235,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +38,Private,278924,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +53,Self-emp-not-inc,311020,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,175878,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,543028,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +39,Private,202027,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +43,Private,158926,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,50,South,<=50K +67,Self-emp-inc,76860,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +81,Self-emp-not-inc,136063,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +21,Private,186648,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,257509,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +25,Private,98155,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +42,Private,274198,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,38,Mexico,<=50K +38,Private,97083,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +64,?,29825,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +32,Private,262153,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,214738,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,138022,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +22,Private,91842,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K +33,Private,373662,1st-4th,2,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +42,Private,162003,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K +19,?,52114,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +51,Local-gov,241843,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,375871,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K +37,Private,186934,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,44,United-States,>50K +37,Private,176900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,>50K +47,Private,21906,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Private,132222,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,40,United-States,>50K +33,Private,143653,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +31,Private,111567,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +31,Private,78602,Assoc-acdm,12,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,Private,465507,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,196373,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,293227,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +20,Private,241752,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Local-gov,166398,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +40,Private,184682,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,108293,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,45,United-States,>50K +43,Private,250802,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +44,Self-emp-not-inc,325159,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +44,State-gov,174675,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +43,Private,227065,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +51,Private,269080,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,177722,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +51,Private,133461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,239683,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,?,<=50K +44,Self-emp-inc,398473,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +33,Local-gov,298785,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,123424,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,176286,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,150062,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,169240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,Private,288273,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,Mexico,<=50K +36,Private,526968,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,57066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,323573,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +35,Self-emp-inc,368825,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +55,Self-emp-not-inc,189721,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +48,Private,164966,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +36,?,94954,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +34,Private,202046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +28,Private,161538,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K +67,Private,105252,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,0,2392,40,United-States,>50K +37,Private,200153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,32185,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,70,United-States,<=50K +25,Private,178326,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,255957,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,4101,0,40,United-States,<=50K +40,State-gov,188693,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +78,Private,182977,HS-grad,9,Widowed,Other-service,Not-in-family,Black,Female,2964,0,40,United-States,<=50K +34,Private,159929,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,123207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +22,Private,284317,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,?,184699,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,154474,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,42,United-States,<=50K +45,Local-gov,318280,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +63,Private,254907,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Private,349221,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,35,United-States,<=50K +47,Private,335973,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,126701,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +51,Private,122159,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,3325,0,40,United-States,<=50K +46,Private,187370,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1504,40,United-States,<=50K +41,Private,194636,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,124793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,192835,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +35,Private,290226,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +56,Private,112840,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +45,Private,89325,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +48,Federal-gov,33109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,58,United-States,>50K +40,Private,82465,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K +39,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +20,Private,148294,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,168212,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,65,United-States,>50K +38,State-gov,343642,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +23,Local-gov,115244,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +31,Private,162572,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +58,Private,356067,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,271567,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,180804,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,123011,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,52,United-States,>50K +26,Private,109186,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,<=50K +51,Private,220537,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,124827,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,767403,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +42,Private,118494,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +38,Private,173208,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +48,Private,107373,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,26973,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +51,Private,191965,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +22,Private,122346,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,117201,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +41,Private,198316,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,Japan,<=50K +48,Local-gov,123075,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +42,Private,209370,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,33117,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,129042,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +56,Private,169133,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Yugoslavia,<=50K +30,Private,201624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,45,?,<=50K +45,Private,368561,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +48,Private,207848,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,138370,Masters,14,Married-spouse-absent,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,<=50K +31,Private,93106,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,State-gov,223515,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,1719,20,United-States,<=50K +27,Private,389713,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,206365,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +76,?,431192,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,2,United-States,<=50K +19,?,241616,HS-grad,9,Never-married,?,Unmarried,White,Male,0,2001,40,United-States,<=50K +66,Self-emp-inc,150726,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,1409,0,1,?,<=50K +37,Private,123785,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,75,United-States,<=50K +34,Private,289984,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +34,?,164309,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K +90,Private,137018,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,137994,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,341204,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,167005,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +24,Private,34446,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,37,United-States,<=50K +28,Private,187160,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,55,United-States,<=50K +64,?,196288,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Private,217961,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,74631,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,156667,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +61,Private,125155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,263925,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K +30,Private,296453,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +52,Self-emp-not-inc,44728,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +38,Private,193026,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,Iran,<=50K +32,Private,87643,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,106742,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K +41,Private,302122,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Local-gov,193960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +45,Private,185385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,>50K +43,Self-emp-not-inc,277647,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +61,Private,128848,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3471,0,40,United-States,<=50K +54,Private,377701,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,Mexico,<=50K +34,Private,157886,Assoc-acdm,12,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,175958,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K +38,Private,223004,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,199352,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,80,United-States,>50K +36,Private,29984,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,181651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,117312,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,60,United-States,<=50K +22,Local-gov,34029,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,132879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +37,Private,215310,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +48,State-gov,55863,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,46,United-States,>50K +17,Private,220384,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +19,Self-emp-not-inc,36012,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,137645,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,1590,40,United-States,<=50K +22,Private,191342,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K +49,Private,31339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,227910,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +43,Private,173728,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Local-gov,167816,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +58,Self-emp-not-inc,81642,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,Local-gov,195258,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +31,Private,232475,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,241259,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,118161,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,201954,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +42,Private,150533,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,52,United-States,>50K +38,Private,412296,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K +41,Federal-gov,133060,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,120539,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +31,Private,196025,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,60,China,<=50K +34,Private,107793,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,163870,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Self-emp-not-inc,361280,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,20,India,<=50K +62,Private,92178,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,?,80710,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +29,Self-emp-inc,260729,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,1977,25,United-States,>50K +43,Private,182254,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +68,?,140282,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +45,Self-emp-inc,149865,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +39,Self-emp-inc,218184,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1651,40,Mexico,<=50K +41,Private,118619,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K +34,Self-emp-not-inc,196791,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,>50K +34,Local-gov,167999,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,33,United-States,<=50K +31,Private,51259,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,47,United-States,<=50K +29,Private,131088,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +41,Private,118212,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +41,Private,293791,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +35,Self-emp-inc,289430,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Mexico,>50K +33,Private,35378,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K +37,State-gov,60227,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +69,Private,168139,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,290763,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +60,Self-emp-inc,226355,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2415,70,?,>50K +36,Private,51100,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,227644,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +58,Local-gov,205267,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +53,Private,288020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +29,Private,140863,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,170915,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,4865,0,40,United-States,<=50K +34,State-gov,50178,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +36,Private,112497,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,95244,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +20,Private,117606,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,89508,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +63,Federal-gov,124244,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,154374,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,45,United-States,<=50K +28,Private,294936,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,347132,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,?,181934,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,316672,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +37,Private,189382,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +42,?,184018,Some-college,10,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,184307,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Jamaica,>50K +46,Self-emp-not-inc,246212,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Federal-gov,250504,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,60,United-States,>50K +27,Private,138705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,53,United-States,<=50K +41,Private,328447,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K +19,Private,194608,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +20,Private,230891,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Federal-gov,212448,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,Germany,<=50K +40,Private,214010,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +56,Self-emp-not-inc,200235,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,354573,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,44,United-States,>50K +30,Self-emp-inc,205733,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +46,Private,185041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +61,Self-emp-inc,84409,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +50,Self-emp-inc,293196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +25,Private,241626,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +40,Private,520586,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K +24,?,35633,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,?,<=50K +51,Private,302847,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,<=50K +43,State-gov,165309,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,117529,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K +46,Private,106092,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,State-gov,445824,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +26,Private,227332,Bachelors,13,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,40,?,<=50K +20,Private,275691,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +44,Private,193459,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +51,Private,284329,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,114691,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +54,Private,96062,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +50,Private,133963,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,40,United-States,>50K +33,Private,178506,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +65,Private,350498,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,10605,0,20,United-States,>50K +22,?,131573,Some-college,10,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +88,Self-emp-not-inc,206291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,182302,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,241346,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +50,Private,157043,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,404616,Masters,14,Married-civ-spouse,Farming-fishing,Not-in-family,White,Male,0,0,99,United-States,>50K +20,Private,411862,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,183013,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +58,?,169982,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +22,Private,188544,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +50,State-gov,356619,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +47,Private,45857,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Local-gov,289886,11th,7,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K +50,?,146015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +40,Private,216237,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +36,Private,416745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,202952,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,167725,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,?,165637,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,43280,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +65,Private,118779,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +24,State-gov,191269,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K +27,Local-gov,247507,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +51,Private,239155,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,182862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,33886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,444304,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,187161,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +49,Local-gov,116892,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Local-gov,176813,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +59,Private,151616,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +18,Private,240747,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K +50,Private,75472,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,?,<=50K +45,Federal-gov,320818,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,80,United-States,>50K +30,Local-gov,235271,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,166497,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +44,Private,344060,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,>50K +33,Private,221196,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-inc,113544,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +61,Local-gov,321117,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,79619,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K +22,?,42004,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +36,Private,135289,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +44,Self-emp-inc,320984,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,60,United-States,>50K +37,Private,203070,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,62,United-States,<=50K +31,Private,32406,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,20,United-States,<=50K +54,Private,99185,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +20,Private,205839,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +63,?,150389,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,>50K +48,Self-emp-not-inc,243631,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,7688,0,40,United-States,>50K +33,?,163003,HS-grad,9,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,41,China,<=50K +31,Private,231263,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,45,United-States,<=50K +38,Private,200818,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Self-emp-not-inc,247379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Private,349151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,22154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,176317,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,22245,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,?,>50K +29,Private,236436,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,354078,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Self-emp-not-inc,166813,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,358740,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,England,<=50K +75,Self-emp-not-inc,208426,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +46,Private,265266,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +52,Federal-gov,31838,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,175034,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,413297,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,106347,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,42,United-States,<=50K +23,Private,174754,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,441454,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +41,Self-emp-not-inc,209344,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,40,Cuba,<=50K +31,Private,185732,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +42,Private,65372,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,33975,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +55,Private,326297,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +36,State-gov,194630,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,167414,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,59,United-States,>50K +38,Local-gov,165799,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,12,United-States,<=50K +62,Private,192866,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +54,Self-emp-inc,166459,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +49,Private,148995,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,190040,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,209432,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +51,Self-emp-inc,229465,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +48,Self-emp-not-inc,397466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,283767,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K +52,Federal-gov,202452,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +28,Self-emp-not-inc,218555,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,1762,40,United-States,<=50K +29,Private,128604,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +38,Private,65466,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +57,Private,141326,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +43,Federal-gov,369468,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,State-gov,136137,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,236770,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,89534,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +69,?,195779,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K +73,Private,29778,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +22,Self-emp-inc,153516,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +31,Private,163594,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +38,Private,189623,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +50,Self-emp-not-inc,343748,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,387430,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,37,United-States,<=50K +44,Local-gov,409505,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,200734,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K +27,Private,115831,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,150296,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,80,United-States,<=50K +25,Private,323545,HS-grad,9,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,232577,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Local-gov,152754,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Private,129007,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +67,Private,171584,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,6514,0,7,United-States,>50K +47,Private,386136,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +42,Private,342865,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,186785,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K +42,Federal-gov,158926,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +65,?,36039,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +21,Private,164019,Some-college,10,Never-married,Farming-fishing,Own-child,Black,Male,0,0,10,United-States,<=50K +50,Private,88926,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K +46,Private,188861,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,370119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +57,Private,182062,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,37238,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +50,Private,421132,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,?,178660,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,795830,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,30,El-Salvador,<=50K +39,Private,278403,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +46,Private,279661,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K +36,Private,113397,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,280093,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,50,United-States,<=50K +21,Private,236696,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,57,United-States,<=50K +41,Private,265266,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,34935,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,58222,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Federal-gov,301010,Some-college,10,Never-married,Armed-Forces,Not-in-family,Black,Male,0,0,60,United-States,<=50K +29,Private,419721,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Japan,<=50K +58,Self-emp-inc,186791,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,>50K +36,Self-emp-not-inc,180686,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,209103,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +37,Private,32668,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,>50K +29,Private,256956,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,202203,5th-6th,3,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +43,Private,85995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +49,Private,125421,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K +45,Federal-gov,283037,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,192932,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,244689,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +51,Private,179646,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,509350,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,Canada,>50K +24,Private,96279,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,119098,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +35,?,327120,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K +41,State-gov,144928,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Private,55237,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +61,Local-gov,101265,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,1471,0,35,United-States,<=50K +20,Private,114874,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,190525,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +55,Private,121912,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,>50K +39,Private,83893,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +17,?,138507,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,256522,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K +52,Private,168381,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,>50K +24,Private,293579,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +29,Private,285290,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,188488,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +20,Private,324469,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,275244,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,35,United-States,<=50K +57,Private,265099,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +51,Private,146767,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,40681,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,3674,0,16,United-States,<=50K +39,Private,174938,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,240124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +71,Private,269708,Bachelors,13,Divorced,Tech-support,Own-child,White,Female,2329,0,16,United-States,<=50K +38,State-gov,34180,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,State-gov,225904,Prof-school,15,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +57,Private,89392,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,46857,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,State-gov,105363,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,195105,HS-grad,9,Never-married,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K +35,Private,184117,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +61,Self-emp-inc,134768,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K +17,?,145886,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,153078,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,?,>50K +62,?,225652,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,3411,0,50,United-States,<=50K +34,Private,467108,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +32,Self-emp-inc,199765,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +42,Private,173938,HS-grad,9,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,191161,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,132606,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,30073,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1848,60,United-States,>50K +40,Private,155190,10th,6,Never-married,Craft-repair,Other-relative,Black,Male,0,0,55,United-States,<=50K +31,Private,42900,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,37,United-States,<=50K +36,Private,191161,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,181820,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,105974,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K +52,Private,146378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,103440,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +51,Private,203435,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Italy,<=50K +31,Federal-gov,168312,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,257764,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,171301,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +53,Federal-gov,225339,Some-college,10,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,152234,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,40,Japan,>50K +20,Private,444554,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,403788,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +61,?,190997,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +43,Private,221550,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,30,Poland,<=50K +46,Self-emp-inc,98929,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K +43,Local-gov,169203,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +41,Private,102332,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,230684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +54,Private,449257,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,198766,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +32,Private,97429,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Canada,<=50K +25,Private,208999,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,37072,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Local-gov,163101,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,Private,119075,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +37,Self-emp-not-inc,137314,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,127303,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +37,Private,349116,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,44,United-States,<=50K +40,Self-emp-not-inc,266324,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Male,0,1564,70,Iran,>50K +19,?,194095,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,46496,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,5,United-States,<=50K +27,Private,29904,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Local-gov,289403,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1887,40,?,>50K +59,Private,226922,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,1762,30,United-States,<=50K +19,Federal-gov,234151,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,238287,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,Private,230624,10th,6,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K +54,Private,398212,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,5013,0,40,United-States,<=50K +54,Self-emp-not-inc,114758,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,246519,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2105,0,45,United-States,<=50K +50,Private,137815,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +40,Private,260696,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,325007,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,<=50K +50,Private,113176,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,66815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +42,?,51795,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,32,United-States,<=50K +24,Private,241523,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K +30,Private,30226,11th,7,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +39,Local-gov,352628,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,50,United-States,>50K +37,Private,143912,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,130021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,329778,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,196945,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,78,Thailand,<=50K +39,Private,24342,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Private,34368,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +52,Self-emp-not-inc,173839,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +28,State-gov,73211,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +32,Private,86723,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,52,United-States,<=50K +31,Private,179186,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,90,United-States,>50K +31,Private,127610,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +47,Private,115070,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,172582,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,256202,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,202872,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +41,Private,184102,11th,7,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Federal-gov,130703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,134727,11th,7,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,43,Germany,<=50K +45,Self-emp-inc,36228,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,4386,0,35,United-States,>50K +39,Private,297847,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,3411,0,34,United-States,<=50K +19,Private,213644,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,173796,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +49,Private,147322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Peru,<=50K +59,Private,296253,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,180871,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +18,?,169882,Some-college,10,Never-married,?,Own-child,White,Female,594,0,15,United-States,<=50K +35,State-gov,211115,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,183870,10th,6,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K +28,Private,441620,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,43,Mexico,<=50K +36,Federal-gov,218542,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +41,Self-emp-not-inc,141327,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +47,Private,67716,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-inc,175339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,60,United-States,<=50K +61,?,347089,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +36,Private,336595,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,27997,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,145574,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1902,60,United-States,>50K +50,Private,30447,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +45,Self-emp-not-inc,256866,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K +44,Self-emp-not-inc,120837,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,66,United-States,<=50K +51,Private,185283,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +44,Self-emp-inc,229466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,298225,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,185749,11th,7,Widowed,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +17,?,333100,10th,6,Never-married,?,Own-child,White,Male,1055,0,30,United-States,<=50K +49,Self-emp-inc,125892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,563883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K +56,Private,311249,HS-grad,9,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Private,221757,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,45,United-States,<=50K +22,Private,310152,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +76,?,211453,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,2,United-States,<=50K +41,Self-emp-inc,94113,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Self-emp-inc,192945,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +46,Private,161508,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,177675,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +39,Private,51100,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +40,Private,100584,10th,6,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +70,Federal-gov,163003,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,67728,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,45,United-States,<=50K +49,Private,101320,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,75,United-States,<=50K +24,Private,42706,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,Private,228535,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,36,United-States,>50K +61,Private,120939,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,5,United-States,>50K +25,Private,98283,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +28,Local-gov,216481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,State-gov,208869,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,11,United-States,<=50K +22,Private,207940,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,36,United-States,<=50K +47,Private,34248,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +38,Private,83727,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K +26,Private,183077,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,197850,11th,7,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,24,United-States,<=50K +33,Self-emp-not-inc,235271,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +43,Self-emp-not-inc,35236,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,255822,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,263925,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +26,Private,256263,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K +43,Local-gov,293535,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +31,Private,209448,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,40,Mexico,<=50K +30,Private,57651,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,2001,42,United-States,<=50K +25,Private,174592,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +57,Federal-gov,278763,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,175232,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K +32,Private,402812,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +26,Private,101150,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,41,United-States,<=50K +45,Private,103538,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +53,State-gov,156877,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,35,United-States,>50K +27,Private,23940,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +28,Self-emp-inc,210295,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +32,Private,80058,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,43,United-States,>50K +35,Private,187119,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1980,65,United-States,<=50K +36,Self-emp-not-inc,105021,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +19,Private,225775,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,395831,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +49,Private,50282,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,45,United-States,<=50K +20,Private,32732,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +64,Self-emp-inc,179436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +60,?,290593,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,123253,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +58,State-gov,48433,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,245317,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,431745,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,14,United-States,<=50K +42,State-gov,436006,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,224943,Some-college,10,Married-spouse-absent,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,167990,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K +37,Self-emp-inc,217054,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +66,Self-emp-not-inc,298834,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +59,Self-emp-inc,125000,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K +44,Private,123983,Bachelors,13,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +46,Private,155489,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,58,United-States,>50K +59,Private,284834,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,2885,0,30,United-States,<=50K +25,Private,212495,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,1340,40,United-States,<=50K +17,Local-gov,32124,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,9,United-States,<=50K +47,Local-gov,246891,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +47,State-gov,141483,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,31985,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,170800,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +26,Local-gov,166295,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,2339,55,United-States,<=50K +20,Private,231286,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,15,United-States,<=50K +33,Private,159322,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Private,176026,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,118025,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +37,Private,26898,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,12,United-States,<=50K +47,Private,232628,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,85995,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +48,Private,125421,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +49,Private,245305,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,42,United-States,>50K +50,Private,73493,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,197058,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,122116,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,75742,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,214731,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,265954,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,State-gov,197156,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +62,Private,162245,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1628,70,United-States,<=50K +39,Local-gov,203070,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Local-gov,165695,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +69,?,473040,5th-6th,3,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,168107,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,163494,10th,6,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +38,Private,180342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,122381,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K +27,Private,148069,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,200973,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,130806,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +56,Private,117148,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,213977,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,134768,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,?,>50K +44,Private,139338,12th,8,Divorced,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +23,Private,315877,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +41,Self-emp-not-inc,195124,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,?,<=50K +25,Private,352057,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +21,Private,236684,Some-college,10,Never-married,Other-service,Other-relative,Black,Female,0,0,8,United-States,<=50K +18,Private,208447,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,6,United-States,<=50K +45,Private,149640,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +75,?,111177,Bachelors,13,Widowed,?,Not-in-family,White,Female,25124,0,16,United-States,>50K +51,Private,154342,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +42,Federal-gov,141459,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +47,Private,111797,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,Outlying-US(Guam-USVI-etc),<=50K +29,Private,111900,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,78707,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Local-gov,160574,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,?,174714,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +19,?,62534,Bachelors,13,Never-married,?,Own-child,Black,Female,0,0,40,Jamaica,<=50K +44,Private,216907,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +24,Private,198148,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +19,Private,124265,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,?,261059,10th,6,Separated,?,Own-child,White,Male,2176,0,40,United-States,<=50K +52,Private,208137,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,257250,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,52,United-States,<=50K +24,State-gov,147253,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Local-gov,244268,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +72,?,213255,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +26,Private,266912,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +31,Private,169104,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,?,<=50K +29,Private,200511,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,128715,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,10520,0,40,United-States,>50K +48,Self-emp-not-inc,65535,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,103395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +51,Private,71046,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,Scotland,<=50K +28,Self-emp-not-inc,125442,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,169188,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,121471,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,207281,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,<=50K +26,Local-gov,46097,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +20,?,206671,Some-college,10,Never-married,?,Own-child,White,Male,1055,0,50,United-States,<=50K +55,Private,98361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,?,>50K +38,Self-emp-not-inc,322143,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K +33,Private,149184,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +33,Local-gov,119829,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K +37,Private,910398,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +19,Private,176570,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +24,Private,216129,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,27207,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +57,State-gov,68830,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +22,State-gov,178818,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +57,Private,236944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +46,State-gov,273771,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,318533,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +35,?,451940,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,102318,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,379350,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,21095,Some-college,10,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +58,Self-emp-not-inc,211547,12th,8,Divorced,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K +36,Private,85272,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +45,Private,46406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,England,>50K +54,Private,53833,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +26,Private,161007,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +60,Private,53707,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Private,370119,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +26,Private,310907,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K +32,Private,375833,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Local-gov,107513,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,58683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +44,Self-emp-not-inc,179557,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +37,Private,70240,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +44,Private,147206,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,175548,HS-grad,9,Never-married,Other-service,Not-in-family,Other,Female,0,0,35,United-States,<=50K +61,Self-emp-not-inc,163174,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +51,Private,126010,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,147876,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,15024,0,60,United-States,>50K +45,Private,428350,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,1740,40,United-States,<=50K +36,?,200904,Assoc-acdm,12,Married-civ-spouse,?,Wife,Black,Female,0,0,21,Haiti,<=50K +39,Private,328466,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,2407,0,70,Mexico,<=50K +67,Local-gov,258973,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +40,State-gov,345969,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +27,Private,127796,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K +37,Private,405723,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +57,Private,175942,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,284196,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,89718,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,2202,0,48,United-States,<=50K +34,Self-emp-inc,175761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +54,Private,206369,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,50,United-States,>50K +52,Private,158993,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,38,United-States,<=50K +42,Private,285066,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +48,Private,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +65,State-gov,209280,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,6514,0,35,United-States,>50K +55,Self-emp-not-inc,52888,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,10,United-States,<=50K +71,Self-emp-inc,133821,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +33,Private,240763,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +30,Private,39054,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,119272,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +59,Private,143372,10th,6,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +19,Private,323421,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +36,Self-emp-not-inc,136028,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +26,Self-emp-not-inc,163189,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Local-gov,202729,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,421871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,Italy,>50K +26,?,211798,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,198901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +18,Private,214617,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K +55,Self-emp-not-inc,179715,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,18,United-States,<=50K +49,Local-gov,107231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K +44,Private,110355,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,184378,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,273454,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Cuba,<=50K +44,Private,443040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +39,?,71701,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,160151,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +35,Private,107991,11th,7,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +52,Private,94391,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,99835,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +44,Private,43711,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +43,Private,83756,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +51,Private,120914,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2961,0,40,United-States,<=50K +20,Private,180052,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,170846,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Italy,>50K +43,Private,37937,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +64,?,168340,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,>50K +24,Private,38455,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,128059,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,420895,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,166744,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,12,United-States,<=50K +26,Private,238768,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +43,Private,176270,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K +50,Private,140592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +20,Self-emp-not-inc,211466,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,80,United-States,<=50K +37,Private,188540,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +43,Private,39581,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,45,United-States,<=50K +37,Private,171150,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +53,Private,117496,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,36,Canada,<=50K +44,Private,145160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,28520,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,103851,11th,7,Never-married,Adm-clerical,Own-child,White,Female,1055,0,20,United-States,<=50K +19,Private,375077,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +53,State-gov,281590,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K +44,Private,151504,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,415287,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1902,40,United-States,>50K +49,Private,32212,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,<=50K +35,Private,123606,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,202565,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Private,177927,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,256723,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +18,Private,46247,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +24,Private,266926,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,112031,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K +22,?,376277,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,168817,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,187487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +32,?,158784,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,67222,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,China,<=50K +43,Private,201723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +73,Private,267408,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K +47,Federal-gov,168191,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +49,Private,105444,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K +38,Private,156728,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,148600,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,19914,Some-college,10,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +42,Private,190767,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,233955,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K +35,Private,30381,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +38,Private,187069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,367314,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,101119,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K +38,Private,86551,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,48,United-States,>50K +40,Local-gov,218995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +21,Private,57711,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +44,Private,303521,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,199067,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,247445,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +49,Private,186078,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +31,Private,77634,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K +24,Private,180060,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,6849,0,90,United-States,<=50K +46,Private,56482,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,314177,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,239755,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K +27,Private,377680,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +64,Self-emp-not-inc,134960,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,35,United-States,>50K +26,Private,294493,Bachelors,13,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,32616,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1719,16,United-States,<=50K +45,Private,182655,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,45,?,>50K +57,Local-gov,52267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K +30,Private,117963,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +45,Private,98881,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,32,United-States,<=50K +50,Private,196963,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,166988,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,193459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,182342,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +32,Private,496743,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,154781,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,219371,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Private,99179,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,224910,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,304651,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Private,349689,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,106850,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,196328,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +25,Private,169323,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,162924,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K +40,Self-emp-not-inc,34037,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K +51,?,167651,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,197384,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +42,Private,251795,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +65,?,266081,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,165309,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,215873,10th,6,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,45,United-States,<=50K +46,Private,133938,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,27828,0,50,United-States,>50K +49,Private,159816,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,20,United-States,>50K +24,Private,228424,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +32,Private,195576,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +71,Private,105200,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,6767,0,20,United-States,<=50K +26,Private,167350,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +29,Private,52199,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,171338,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +51,Private,120173,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,50,United-States,>50K +17,?,158762,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +49,Private,169818,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K +31,Private,288419,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,207546,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,147707,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Male,0,2339,40,United-States,<=50K +17,?,228373,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +43,Private,193882,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,31033,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +37,Private,272950,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,183523,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,238415,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,19302,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,2202,0,38,United-States,<=50K +42,Local-gov,339671,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K +35,Local-gov,103260,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +39,Private,79331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,United-States,>50K +40,Private,135056,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +66,Private,142723,5th-6th,3,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +30,Federal-gov,188569,9th,5,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,57322,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,178309,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +45,Private,166107,Masters,14,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +31,Private,53042,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Trinadad&Tobago,<=50K +33,Private,155343,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K +32,Private,35595,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,429507,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +50,Federal-gov,159670,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +63,Private,151210,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,186792,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,204640,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,87205,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +38,Self-emp-inc,112847,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +41,Private,107306,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,40,United-States,<=50K +50,State-gov,211319,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +59,Private,183606,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,205390,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,49,United-States,<=50K +73,Local-gov,232871,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,2228,0,10,United-States,<=50K +52,Self-emp-inc,101017,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K +57,Private,114495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,183898,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +51,Private,163921,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,>50K +22,Private,311764,11th,7,Widowed,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +49,Private,188330,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,267174,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +46,Local-gov,36228,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,<=50K +48,Private,199739,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,185407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +43,State-gov,206139,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +25,Private,282063,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,332379,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,418324,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,36,United-States,<=50K +19,?,263338,Some-college,10,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K +51,Private,158948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K +51,Private,221532,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +22,Self-emp-not-inc,202920,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,99999,0,40,Dominican-Republic,>50K +37,Local-gov,118909,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +19,Private,286469,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +45,Private,191914,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,55,United-States,<=50K +21,State-gov,142766,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +52,Private,198744,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Local-gov,272780,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,<=50K +42,State-gov,219553,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +56,Private,261232,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,64292,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,312131,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +70,Private,30713,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,246439,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,338105,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +23,Private,228243,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +34,Local-gov,62463,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,40,United-States,<=50K +38,Private,31603,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,165054,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,121618,7th-8th,4,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +45,Federal-gov,273194,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,3325,0,40,United-States,<=50K +21,?,163665,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,538319,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K +34,Private,238246,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,244665,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,45,United-States,>50K +21,Private,131811,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +63,?,231777,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +23,Private,156807,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,36,United-States,<=50K +28,Private,236861,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,229842,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,<=50K +25,Local-gov,190057,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +44,State-gov,55076,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +18,Private,152545,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +26,Private,153434,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +47,Local-gov,171095,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +23,Private,239322,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,138999,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,95450,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K +25,Private,176520,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Local-gov,72338,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,54,United-States,>50K +60,?,386261,Bachelors,13,Married-spouse-absent,?,Unmarried,Black,Female,0,0,15,United-States,<=50K +23,Private,235722,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +36,Federal-gov,128884,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +46,Private,187226,9th,5,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +32,Self-emp-not-inc,298332,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +40,Private,173607,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,226756,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +31,Private,157887,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +32,State-gov,171111,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,37,United-States,<=50K +21,Private,126314,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +63,Private,174018,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,144778,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +42,Self-emp-not-inc,201522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +23,?,22966,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +30,Private,399088,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Private,282202,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +42,Private,102606,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,246862,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Italy,>50K +27,Federal-gov,508336,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,United-States,<=50K +27,Local-gov,263431,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,235733,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +68,Private,107910,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,184425,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K +22,Self-emp-not-inc,143062,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Greece,<=50K +25,Private,199545,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,<=50K +68,Self-emp-not-inc,197015,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +62,Private,149617,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,16,United-States,<=50K +26,Private,33610,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,192002,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +68,Private,67791,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Local-gov,445382,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +45,Private,112283,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,157249,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,109872,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,119838,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +29,Private,149943,Some-college,10,Never-married,Other-service,Not-in-family,Other,Male,0,1590,40,?,<=50K +65,Without-pay,27012,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Female,0,0,50,United-States,<=50K +31,Private,91666,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,270276,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,179271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +44,Private,161819,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +45,Local-gov,339681,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,45,United-States,<=50K +26,Self-emp-not-inc,219897,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Private,91683,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +36,Private,188834,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,187046,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,191807,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K +52,Self-emp-inc,179951,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,324420,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K +41,Self-emp-not-inc,66632,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Local-gov,121718,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +47,Private,162034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +28,Local-gov,218990,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,46,United-States,<=50K +25,Local-gov,125863,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,225330,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,120426,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,119741,Masters,14,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,32000,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K +21,?,124242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,278581,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,230224,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +30,Private,204374,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1741,48,United-States,<=50K +45,Private,188386,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1628,45,United-States,<=50K +20,Private,164922,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,195176,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K +43,Private,166740,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +50,?,156008,11th,7,Married-civ-spouse,?,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Private,162551,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,48,China,<=50K +25,Private,211231,HS-grad,9,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,48,United-States,>50K +25,Private,169990,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,221832,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +38,Local-gov,255454,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K +35,Private,28160,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +50,State-gov,159219,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Canada,>50K +26,Local-gov,103148,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,165186,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,31782,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,249101,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,243190,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +18,Local-gov,153405,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,25,United-States,<=50K +37,Private,329980,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K +57,Private,176079,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,State-gov,218542,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,State-gov,303446,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,Nicaragua,<=50K +40,Private,102606,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,483201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +77,Local-gov,144608,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,6,United-States,<=50K +30,Private,226013,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,Private,165475,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,263637,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,201495,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +68,Private,213720,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,170483,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +26,Private,214303,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Private,190511,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,242150,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +51,Local-gov,159755,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Private,147629,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +49,Private,268022,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +28,Private,188711,Bachelors,13,Never-married,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K +29,Private,452205,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +21,Private,260847,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +28,Private,291374,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,189933,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,133969,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,South,>50K +35,Private,330664,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,?,672412,11th,7,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,122999,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K +30,Private,111415,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Germany,<=50K +33,Private,217235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +40,Private,121956,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,13550,0,40,Cambodia,>50K +23,Private,120172,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,343403,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,104790,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +39,Local-gov,473547,10th,6,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +53,Local-gov,260106,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +49,Federal-gov,168232,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +31,Private,348491,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Private,24106,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +60,Self-emp-inc,197553,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +29,Private,421065,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +54,Self-emp-inc,138852,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +28,?,169631,Assoc-acdm,12,Married-AF-spouse,?,Wife,White,Female,0,0,3,United-States,<=50K +34,Private,379412,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,181992,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K +19,Private,365640,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,?,<=50K +26,Private,236564,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,363418,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,70,United-States,>50K +50,Private,112351,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,<=50K +30,Private,204704,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,>50K +44,Private,54611,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Private,128132,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +75,Self-emp-not-inc,30599,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,379522,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +51,State-gov,196504,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,38,United-States,<=50K +35,Private,82552,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +28,Private,104024,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,293114,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1409,0,40,United-States,<=50K +72,Private,74141,9th,5,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,48,United-States,>50K +39,Private,192337,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,262478,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K +57,Private,185072,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +24,Private,296045,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,38,United-States,<=50K +28,Private,246595,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,70,United-States,<=50K +23,Private,54472,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,331065,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1408,40,United-States,<=50K +23,Private,161708,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +31,Private,264936,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Local-gov,113545,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,212237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,45,United-States,<=50K +31,Private,170430,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,?,<=50K +34,Private,173806,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,4865,0,60,United-States,<=50K +57,Federal-gov,370890,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,2258,40,United-States,<=50K +39,Private,505119,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K +23,Private,193089,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +24,Local-gov,33432,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,103110,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,England,<=50K +32,Private,160362,Some-college,10,Divorced,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K +35,Private,204621,Assoc-acdm,12,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,35309,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,?,154373,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Private,194772,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +35,Private,154410,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,220563,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,253354,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,211699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K +63,Self-emp-not-inc,167501,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,20051,0,10,United-States,>50K +34,Private,229732,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,185465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,335764,11th,7,Married-civ-spouse,Sales,Own-child,Black,Male,0,0,35,United-States,<=50K +23,Private,460046,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +19,?,33487,Some-college,10,Never-married,?,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +50,Private,176924,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +49,State-gov,213307,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,83893,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,194102,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +61,Private,238611,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +41,Private,113597,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,16,United-States,<=50K +27,Self-emp-not-inc,208406,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +53,Private,274528,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K +17,Self-emp-not-inc,60116,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +23,?,196816,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +53,Private,166368,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,303954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,42,United-States,>50K +24,Private,99386,Bachelors,13,Married-spouse-absent,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,188569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Private,302868,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +18,Private,283342,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K +24,Private,233777,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,Mexico,<=50K +20,Private,170038,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,261319,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,State-gov,367237,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K +34,Private,126838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,354104,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +20,Private,176321,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +47,Private,85129,HS-grad,9,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +20,?,376474,Some-college,10,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K +22,Private,62507,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +42,Local-gov,111252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +60,Private,156889,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,549430,HS-grad,9,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K +46,Private,29696,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +66,Private,98837,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,86150,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,30,United-States,>50K +34,Private,204991,Some-college,10,Divorced,Exec-managerial,Own-child,White,Male,0,0,44,United-States,<=50K +45,Private,371886,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,46,United-States,<=50K +35,Private,103605,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +63,?,54851,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,133050,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +36,Local-gov,126569,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +25,Federal-gov,144259,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +51,Private,161482,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +25,Self-emp-not-inc,305449,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,125010,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K +47,Private,304133,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +59,Local-gov,120617,HS-grad,9,Separated,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,157747,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,297396,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K +42,Private,121287,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,?,308493,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,17,Honduras,<=50K +37,Private,49115,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Self-emp-inc,208302,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K +25,Private,304032,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K +31,Federal-gov,207301,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Private,123211,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,>50K +42,Private,33521,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +29,?,410351,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,410034,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +51,Private,175339,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,>50K +22,?,27937,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +49,Private,168211,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +26,Private,125680,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,16,Japan,<=50K +56,Local-gov,160829,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K +52,Private,266529,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +61,Self-emp-not-inc,115023,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,?,<=50K +47,State-gov,224149,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +52,Private,150930,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,343699,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,172826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,55,United-States,>50K +35,Private,163392,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +17,?,103810,12th,8,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,213821,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +26,Private,211265,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,Black,Female,0,0,35,Dominican-Republic,<=50K +58,Local-gov,160586,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,146454,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5556,0,40,United-States,>50K +30,Private,203277,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +46,Private,309895,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,26522,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,35,United-States,>50K +57,Private,103809,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,90291,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +21,State-gov,181761,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K +37,Private,35330,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1669,55,United-States,<=50K +45,Local-gov,135776,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +61,?,188172,Doctorate,16,Widowed,?,Not-in-family,White,Female,0,0,5,United-States,<=50K +39,Private,179579,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,193626,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,53,United-States,<=50K +20,Private,108887,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,199070,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,16,United-States,<=50K +25,Private,441591,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,185254,5th-6th,3,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,El-Salvador,<=50K +24,Private,109307,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +20,?,81853,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +35,Private,23621,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +44,Local-gov,145178,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,38,Jamaica,>50K +47,State-gov,30575,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +28,State-gov,130620,11th,7,Separated,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K +41,Local-gov,22155,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +31,Private,106437,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,79787,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +47,Private,326857,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +44,Private,81853,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +61,Private,120933,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Federal-gov,153143,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K +46,Private,27669,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +46,Private,105444,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Local-gov,169785,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +49,Private,122493,HS-grad,9,Widowed,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +56,Local-gov,242670,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,54933,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,209317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +25,Self-emp-not-inc,282631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,98044,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,187487,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,60186,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,75648,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +28,Private,201175,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,19302,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +21,?,300812,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,146659,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,35,United-States,>50K +75,Private,101887,10th,6,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,70,United-States,<=50K +66,?,117778,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,60726,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,201763,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +57,Self-emp-inc,119253,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,65,United-States,>50K +47,Self-emp-not-inc,121124,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,Italy,>50K +41,Private,220132,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +21,Private,60639,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +17,Private,195262,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,17,United-States,<=50K +61,?,113544,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K +47,?,331650,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,>50K +22,Private,100587,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,15,United-States,<=50K +47,Private,298130,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,242391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-not-inc,197867,Assoc-voc,11,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +59,Private,151977,10th,6,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,30,United-States,<=50K +38,Private,277347,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,125249,HS-grad,9,Separated,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,222142,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,270194,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,169995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +27,Private,359155,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +60,Private,123992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +64,Local-gov,266080,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Private,201531,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,179704,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +36,Private,393673,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +34,Private,244147,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +41,Self-emp-not-inc,438696,Masters,14,Divorced,Sales,Unmarried,White,Male,0,0,5,United-States,>50K +35,Self-emp-not-inc,207568,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +63,Self-emp-inc,54052,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K +46,Private,187581,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,77102,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,353010,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +29,Private,54131,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +74,Federal-gov,39890,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Female,0,0,18,United-States,<=50K +50,Private,156877,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +22,Private,355686,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,300168,12th,8,Separated,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +30,Private,488720,9th,5,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +32,Private,157287,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,214169,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,192149,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,137253,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,Private,373050,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,90377,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,6767,0,60,United-States,<=50K +28,Federal-gov,183151,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +55,Private,227158,Bachelors,13,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Local-gov,34021,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +31,Private,165148,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,12,United-States,<=50K +47,Private,211668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,>50K +45,Private,358886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,47707,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,306982,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K +49,Local-gov,52590,HS-grad,9,Widowed,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,?,179352,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +27,Private,158156,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,42,United-States,<=50K +42,Private,70055,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +60,?,131852,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +64,Self-emp-not-inc,177825,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,1055,0,40,United-States,<=50K +33,Private,127215,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +23,Private,175183,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,142287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,221324,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,227602,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,Mexico,<=50K +22,Private,228452,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +57,State-gov,39380,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +20,?,96862,Some-college,10,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +23,Private,336360,7th-8th,4,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +31,Private,257644,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +23,State-gov,235853,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,22,United-States,<=50K +30,Private,270577,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Local-gov,222900,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +42,Private,99254,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +51,Private,224763,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K +59,Self-emp-not-inc,174056,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +36,Private,127306,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,339506,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,178322,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K +33,Private,189843,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,160815,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,207665,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +37,State-gov,160402,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +35,Private,170263,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,184659,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,52,United-States,<=50K +38,Federal-gov,338320,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +54,Private,101017,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,204322,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +45,Private,241350,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +63,Federal-gov,217994,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,128143,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Self-emp-not-inc,164065,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,18,United-States,<=50K +64,Local-gov,78866,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,236769,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,239539,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +39,Private,34028,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,48,United-States,<=50K +45,State-gov,207847,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,175935,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +22,Federal-gov,218445,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Self-emp-inc,215833,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,156976,Assoc-voc,11,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,220647,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +20,Private,218343,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +29,Private,241431,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +38,Local-gov,123983,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,1741,40,Vietnam,<=50K +25,Private,73289,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,408623,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +46,Private,169180,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,54929,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +24,Private,306779,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,35,United-States,<=50K +43,Private,159549,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,482082,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,21,Mexico,<=50K +32,Local-gov,286101,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,37,United-States,<=50K +44,Private,167955,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +40,Self-emp-not-inc,209040,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,105017,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,27776,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,242941,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1602,10,United-States,<=50K +41,Private,118853,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,119565,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,196827,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,<=50K +47,Private,275361,Assoc-acdm,12,Widowed,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +42,Private,225193,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,329783,10th,6,Never-married,Sales,Other-relative,White,Female,0,0,10,United-States,<=50K +29,Local-gov,107411,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +21,State-gov,258490,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +18,?,120243,11th,7,Never-married,?,Own-child,White,Male,0,0,27,United-States,<=50K +31,Private,219509,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,>50K +27,Local-gov,29174,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,40083,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K +23,Private,87528,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +41,Private,116379,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,55,Taiwan,>50K +46,Local-gov,216214,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +34,Private,268051,Some-college,10,Married-civ-spouse,Protective-serv,Other-relative,Black,Female,0,0,25,Haiti,<=50K +42,Self-emp-not-inc,121718,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K +18,Private,201901,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,1719,15,United-States,<=50K +46,Private,109089,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K +18,?,346382,11th,7,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +52,Private,284129,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Private,143030,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,212619,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +22,Self-emp-not-inc,199011,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,20,United-States,<=50K +31,Private,118901,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +41,Self-emp-not-inc,129865,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,157900,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,349341,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,158685,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,386585,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K +90,Private,52386,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +45,Private,246891,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +30,Private,190385,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +42,Private,37869,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,217807,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +53,Private,149784,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +64,State-gov,201293,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +56,Private,128764,7th-8th,4,Widowed,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Private,27444,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +26,Private,62438,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +31,Local-gov,151726,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +40,Private,29841,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +58,Private,131608,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,110562,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,190541,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K +62,State-gov,33142,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +65,Self-emp-inc,139272,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +40,Private,234633,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Local-gov,238386,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +22,Private,460835,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K +23,?,243190,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,China,<=50K +63,Federal-gov,97855,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +39,Private,77146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +37,Private,200863,Some-college,10,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +25,?,41107,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,Canada,<=50K +56,Private,77415,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,236770,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Federal-gov,173093,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,1887,40,Philippines,>50K +32,Private,235124,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,282604,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K +35,Private,199288,11th,7,Separated,Transport-moving,Not-in-family,White,Male,0,0,90,United-States,<=50K +51,Private,191659,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,65,United-States,>50K +19,Private,43285,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,160837,11th,7,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +22,Private,230574,10th,6,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +23,Private,176178,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,116358,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +27,?,253873,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +45,Private,107787,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K +23,Self-emp-not-inc,519627,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,Mexico,<=50K +21,Private,191460,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,198282,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +29,Private,214858,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,64875,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,675421,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,40,United-States,<=50K +62,Self-emp-not-inc,134768,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Federal-gov,207342,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Private,64830,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +31,Private,220066,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,14344,0,50,United-States,>50K +37,Private,82521,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +33,Private,176711,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,England,<=50K +22,?,217421,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +28,Private,111900,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +22,?,196943,Some-college,10,Separated,?,Own-child,White,Male,0,0,25,United-States,<=50K +47,Private,481987,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +67,?,184506,11th,7,Married-civ-spouse,?,Husband,White,Male,0,419,3,United-States,<=50K +20,?,121313,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,158420,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +26,Private,256000,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +36,Private,183892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,44,United-States,>50K +28,Private,42734,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,181773,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +47,Private,184945,Some-college,10,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +33,Private,107248,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Self-emp-inc,215382,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K +25,Private,122999,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,758700,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,50,Mexico,<=50K +36,State-gov,166606,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,192060,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,30,?,<=50K +74,?,340939,9th,5,Married-civ-spouse,?,Husband,White,Male,3471,0,40,United-States,<=50K +57,Private,205708,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +55,Private,67450,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,England,<=50K +20,Private,242077,HS-grad,9,Divorced,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,129573,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,44,United-States,<=50K +54,Private,181132,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,England,>50K +25,Private,212302,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,83411,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1408,40,United-States,<=50K +23,?,148751,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +17,Private,317681,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K +39,?,103986,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,1590,40,United-States,<=50K +63,Private,30602,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +19,Private,172893,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +56,Self-emp-inc,211804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +33,Self-emp-not-inc,312055,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +37,Private,65390,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,200500,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +36,Local-gov,241962,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-inc,78530,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,Canada,>50K +22,Private,189950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +35,Private,111387,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1579,40,United-States,<=50K +20,Private,241951,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +18,Private,343059,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,302465,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1741,40,United-States,<=50K +53,Private,156843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,54,United-States,>50K +21,?,79728,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,55284,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +34,Private,509364,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +32,State-gov,117927,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,137651,Some-college,10,Never-married,Machine-op-inspct,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +70,Private,131060,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +57,Private,346963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +54,Private,183611,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3137,0,50,United-States,<=50K +34,Private,134737,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,36503,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,250121,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,330535,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,3325,0,40,United-States,<=50K +27,Private,387776,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,41474,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +36,Local-gov,318972,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,65,United-States,<=50K +33,Private,86143,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +50,Private,181139,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,326232,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,2547,50,United-States,>50K +39,Local-gov,153976,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,59469,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +24,Private,127139,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,136343,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,350624,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +66,?,177351,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2174,40,United-States,>50K +68,Private,166149,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,2206,30,United-States,<=50K +29,Private,121523,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +24,Self-emp-not-inc,267396,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,83045,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,160449,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +55,Self-emp-inc,124137,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,35,Greece,>50K +20,?,287681,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +41,Private,154194,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,295127,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +60,Private,240521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +61,Self-emp-not-inc,244087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +35,Private,356250,Prof-school,15,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,35,China,<=50K +42,State-gov,293791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,44308,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,210527,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,State-gov,151763,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K +39,State-gov,267581,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,100188,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +32,Self-emp-inc,111746,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,171091,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,355645,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,20,Trinadad&Tobago,<=50K +54,Local-gov,137678,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,70894,Assoc-acdm,12,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +19,Private,171306,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,3,United-States,<=50K +31,Private,100997,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Private,63921,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +29,Private,32897,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +29,Local-gov,251854,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,345121,10th,6,Separated,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +46,Private,86220,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,172845,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Private,171398,10th,6,Never-married,Sales,Not-in-family,Other,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,174391,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +48,Private,207058,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +37,Private,291251,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,224377,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,105813,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Local-gov,180916,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +31,Self-emp-not-inc,122749,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,31069,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +26,Self-emp-not-inc,284343,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Private,319371,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +46,Private,174224,Assoc-voc,11,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +69,?,183958,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +39,Private,127772,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3103,0,44,United-States,>50K +48,Private,80651,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,55,United-States,<=50K +46,Private,62793,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +42,Private,191712,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1590,40,United-States,<=50K +39,Self-emp-not-inc,237532,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,54,Dominican-Republic,>50K +50,Federal-gov,20179,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +24,Private,311376,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,432565,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,40,Canada,>50K +39,Self-emp-inc,329980,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,60,United-States,>50K +29,Self-emp-not-inc,125190,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,342946,11th,7,Never-married,Transport-moving,Own-child,White,Female,0,0,38,United-States,<=50K +21,?,219835,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,123429,10th,6,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Self-emp-inc,69209,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3818,0,30,United-States,<=50K +55,Private,66356,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,195897,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +44,Self-emp-inc,153132,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,52,United-States,>50K +18,Private,230875,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +74,Self-emp-not-inc,92298,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +40,Private,185145,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,297296,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +75,?,164849,9th,5,Married-civ-spouse,?,Husband,Black,Male,1409,0,5,United-States,<=50K +55,Private,145214,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,242341,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +54,Private,240542,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +36,Private,104772,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,48,United-States,<=50K +76,?,152802,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +26,Private,181666,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,415520,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,258761,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Private,88842,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K +19,?,356717,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,158438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +57,Private,206206,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +20,Private,51816,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +27,Private,253814,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,161745,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,1980,60,United-States,<=50K +60,Private,162947,5th-6th,3,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K +52,Private,163027,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K +61,Private,146788,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,73309,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,>50K +19,?,143867,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,104216,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +34,Self-emp-not-inc,345705,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K +31,Private,133770,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +42,Private,209392,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,35,United-States,<=50K +70,Private,262345,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,6,United-States,<=50K +47,Private,277545,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +47,?,174525,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3942,0,40,?,<=50K +29,Private,490332,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +27,Private,211570,11th,7,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +25,Private,374918,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,106728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,60,United-States,>50K +28,Private,173649,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,?,<=50K +35,Private,174597,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,233533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +54,?,169785,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,133169,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,198824,Assoc-voc,11,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +65,Private,174056,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,188696,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,90692,HS-grad,9,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Private,271933,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,1741,45,United-States,<=50K +47,Self-emp-not-inc,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +49,Federal-gov,213668,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,56,United-States,>50K +21,Private,294789,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +20,Private,157599,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +18,Local-gov,134935,12th,8,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,466224,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,111985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,264627,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,213427,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,279015,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +47,Private,165937,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +27,Federal-gov,188343,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,Private,158609,Assoc-voc,11,Widowed,Adm-clerical,Unmarried,White,Female,0,0,8,United-States,<=50K +34,Private,193036,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +25,Private,198632,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +54,Private,175912,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Male,914,0,40,United-States,<=50K +19,?,192773,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +35,Private,101387,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,60783,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +26,Private,183224,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K +59,Local-gov,100776,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,57600,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,?,<=50K +20,Private,174063,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,306495,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,249741,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,93021,HS-grad,9,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K +36,Private,49626,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,63062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +55,Private,320835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Local-gov,123727,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,21,United-States,<=50K +58,State-gov,110517,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,4064,0,40,India,<=50K +43,Private,149670,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,4064,0,15,United-States,<=50K +39,Private,172425,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +40,Private,216116,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,Haiti,<=50K +46,Private,174209,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Federal-gov,175083,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +19,Private,129059,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,30,United-States,<=50K +24,Private,121313,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,?,181317,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +24,State-gov,166851,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,13,United-States,<=50K +29,Self-emp-not-inc,29616,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +56,Self-emp-inc,105582,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +54,?,124993,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +21,?,148509,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,230246,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +56,Private,117881,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,203408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +19,Private,446219,10th,6,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,110331,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +48,Private,207946,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K +67,?,45537,Masters,14,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,>50K +47,Private,188330,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K +52,Private,147629,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +40,Private,153799,1st-4th,2,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K +28,Private,203776,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,168071,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +57,Private,348430,1st-4th,2,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,Portugal,<=50K +51,Private,103407,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,?,152046,11th,7,Never-married,?,Not-in-family,White,Female,0,0,35,Germany,<=50K +36,Private,153205,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,?,<=50K +33,Private,326104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,238162,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +50,Private,221336,HS-grad,9,Divorced,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +33,Private,180656,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +77,Self-emp-not-inc,145329,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,401,0,20,United-States,<=50K +39,Private,315776,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,8614,0,52,United-States,>50K +67,?,150516,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,3,United-States,<=50K +35,Private,325802,Assoc-acdm,12,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,24,United-States,<=50K +23,Private,133985,10th,6,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,269329,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,45,United-States,>50K +41,Private,183203,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +60,Private,76127,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +32,Private,195891,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K +56,Federal-gov,162137,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +45,State-gov,37672,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,161708,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +18,Private,80616,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K +31,Private,209276,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,United-States,<=50K +21,?,34443,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +45,Private,192835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K +23,Private,203240,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,State-gov,102308,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,40829,11th,7,Never-married,Sales,Other-relative,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +25,Private,60726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K +31,State-gov,116677,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,57067,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,45,United-States,<=50K +41,Private,304906,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +74,Private,101590,Prof-school,15,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +27,Private,258102,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Mexico,<=50K +23,Private,241185,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,124827,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-inc,76625,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,263339,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +25,Private,135645,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Private,245626,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +24,Private,210781,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,235786,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +45,Self-emp-not-inc,160167,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +52,Federal-gov,30731,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +34,Private,314375,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,81528,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K +54,Private,182854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Federal-gov,296798,11th,7,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K +32,Private,194426,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K +40,?,70645,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +55,Self-emp-inc,141807,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +66,?,112871,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +52,State-gov,71344,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,341410,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +33,Private,118941,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +52,?,159755,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +28,Private,128509,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K +27,Self-emp-not-inc,229125,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,142756,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Self-emp-inc,243871,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +47,Private,213140,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +19,Private,196857,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,138626,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,161334,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Nicaragua,<=50K +50,Private,273536,7th-8th,4,Married-civ-spouse,Sales,Husband,Other,Male,0,0,49,Dominican-Republic,<=50K +32,Private,115631,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,4101,0,50,United-States,<=50K +28,Private,185957,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,334357,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,96102,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,213226,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K +19,Private,115248,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +37,Private,185061,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +27,Private,147638,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +18,Private,280298,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +31,Private,163516,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,277434,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +26,Federal-gov,206983,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Columbia,<=50K +48,Private,108993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +39,Private,288551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,176069,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +48,State-gov,183486,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,56,United-States,>50K +40,Private,163215,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,10520,0,40,United-States,>50K +70,Private,94692,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +20,Private,118462,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,43,United-States,<=50K +38,Private,407068,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,75,Mexico,<=50K +37,Self-emp-not-inc,243587,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,40,Cuba,<=50K +49,Private,23074,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +51,Private,237735,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K +43,Private,188291,1st-4th,2,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,284166,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,?,423460,11th,7,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +23,Private,287681,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K +34,Private,509364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,?,139391,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +33,Private,91964,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,117526,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,45,United-States,<=50K +64,Private,91343,Some-college,10,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,336969,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,28,El-Salvador,<=50K +55,Private,255364,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,167670,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,211494,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +78,Local-gov,136198,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,United-States,<=50K +27,Federal-gov,409815,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,188823,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K +55,State-gov,146326,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +42,Private,154374,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,58,United-States,<=50K +22,?,216563,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +61,Private,197286,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Self-emp-not-inc,100722,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,5,United-States,<=50K +46,Local-gov,377622,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,145964,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,358636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,70,United-States,<=50K +47,Private,155489,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,55,United-States,>50K +18,Private,57413,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +48,Private,320421,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +50,Self-emp-not-inc,174752,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,State-gov,229364,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +56,Self-emp-not-inc,157486,10th,6,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,92682,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K +56,Federal-gov,101338,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,132652,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +21,Private,34616,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +40,Private,218903,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Local-gov,204098,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K +52,Self-emp-not-inc,64045,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,45,United-States,>50K +46,Private,189763,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,26248,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,92079,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +19,Private,280071,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,50,United-States,<=50K +20,Private,224059,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,185520,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,8614,0,40,United-States,>50K +24,Private,265567,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +72,Private,106890,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,State-gov,39586,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +42,Private,153132,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,?,<=50K +51,Private,209912,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +39,Private,144169,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +40,Local-gov,50442,Some-college,10,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,2977,0,35,United-States,<=50K +34,Private,89644,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +19,Private,275889,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Mexico,<=50K +26,Private,231638,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,Local-gov,224474,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,4934,0,50,United-States,>50K +28,Private,355259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,Federal-gov,68330,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +32,Private,185410,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,87653,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +21,Private,286853,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +54,Private,96710,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,Black,Female,0,0,20,United-States,<=50K +62,Private,160143,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +25,Private,186925,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2597,0,48,United-States,<=50K +49,Self-emp-inc,109705,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,32,United-States,<=50K +32,Private,94235,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,225279,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1602,40,?,<=50K +37,Local-gov,297449,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +58,Private,205896,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Private,93717,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,45,United-States,>50K +41,Private,194710,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,236391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +47,State-gov,189123,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,358677,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,35,United-States,<=50K +30,State-gov,199539,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,<=50K +43,Private,128170,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +34,Private,231238,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +57,Private,296152,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Female,594,0,10,United-States,<=50K +46,Private,166003,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,281437,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +20,Private,190231,9th,5,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,11,Nicaragua,<=50K +47,Private,122026,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,?,205527,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +53,Self-emp-not-inc,174102,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,Greece,>50K +43,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +80,Self-emp-not-inc,184335,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,211345,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +43,Local-gov,147328,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +22,Private,222993,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,225978,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,121124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,?,656036,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +34,?,346762,11th,7,Divorced,?,Own-child,White,Male,0,0,84,United-States,<=50K +51,Private,234057,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +24,Federal-gov,306515,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,116562,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,171159,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +24,Private,199011,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,443508,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Canada,>50K +24,Private,29810,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +22,Local-gov,238831,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +32,Federal-gov,566117,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,255044,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +20,Private,436253,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +31,Private,300687,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +55,Private,144071,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K +49,State-gov,133917,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1902,60,?,>50K +26,Private,188767,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,300777,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +35,Private,26987,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,174395,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,60,Greece,<=50K +59,Private,90290,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,34,United-States,<=50K +61,Private,183735,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +31,Private,123273,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Federal-gov,186916,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,>50K +61,Private,43554,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2339,40,United-States,<=50K +54,Private,178251,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +30,Private,255885,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,64292,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,State-gov,194773,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Germany,<=50K +44,Self-emp-inc,133060,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K +64,Private,258006,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K +55,Private,92215,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,33945,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,6849,0,55,United-States,<=50K +61,Private,153048,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +28,Private,192200,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +34,Private,355571,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,139268,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +26,Private,34402,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +35,Private,25955,11th,7,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +36,Private,209609,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +47,Private,168283,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,295488,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,25,United-States,<=50K +35,Private,190895,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,164190,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +25,Private,216010,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,387568,10th,6,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K +47,State-gov,188386,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +44,Private,174491,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +41,Private,31221,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +30,Private,272451,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,152652,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,104413,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +40,Private,105936,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,5013,0,20,United-States,<=50K +24,Private,379066,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,2205,24,United-States,<=50K +27,Private,214858,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,237735,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,37,Mexico,<=50K +36,Private,158592,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,237321,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,>50K +41,Private,23646,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,169240,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Federal-gov,454508,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,130356,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +22,Private,427686,10th,6,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +18,Local-gov,36411,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +39,Private,548510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,30,United-States,<=50K +38,Private,187264,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,<=50K +35,State-gov,140752,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,325596,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,175804,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,107302,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +63,Local-gov,41161,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,401832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +57,Self-emp-not-inc,353808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +58,Self-emp-inc,349910,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +29,Private,161478,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K +17,Private,400225,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,367533,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,69306,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +28,Private,270366,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,103751,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,75227,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K +45,Local-gov,132563,Prof-school,15,Divorced,Prof-specialty,Unmarried,Black,Female,0,1726,40,United-States,<=50K +33,State-gov,79580,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +41,Local-gov,344624,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,40,United-States,>50K +37,Self-emp-inc,186359,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,60,United-States,>50K +50,Private,121685,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +48,Private,75104,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,?,188343,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,246449,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +21,Private,85088,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K +37,Private,545483,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +20,State-gov,243986,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +54,Self-emp-not-inc,32778,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +28,Private,369114,HS-grad,9,Separated,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,217200,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,149220,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,?,162034,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,?,157813,11th,7,Divorced,?,Unmarried,White,Female,0,0,58,Canada,<=50K +17,?,179715,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,335549,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2444,45,United-States,>50K +47,Private,102308,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +44,Private,367749,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +25,Private,98281,12th,8,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,43,United-States,<=50K +35,Private,115792,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,277788,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K +30,Private,103435,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +30,Private,37646,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,385632,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Self-emp-not-inc,210278,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +28,Private,335357,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,272165,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,148995,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +46,Self-emp-not-inc,113434,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,State-gov,132551,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +38,Federal-gov,115433,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,33,United-States,>50K +29,Private,227890,HS-grad,9,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,United-States,<=50K +25,Private,503012,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +56,Private,250873,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,407930,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,148187,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Private,159322,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +28,Private,334368,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,196328,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +45,Private,270842,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +71,Private,235079,Preschool,1,Widowed,Craft-repair,Unmarried,Black,Male,0,0,10,United-States,<=50K +65,?,327154,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,188391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +19,Federal-gov,30559,HS-grad,9,Married-AF-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +34,Local-gov,255098,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,248010,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,174515,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +90,Private,171956,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K +56,Private,193130,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +21,Private,108670,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,186172,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +45,Private,348854,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,27,United-States,<=50K +46,Private,271828,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +64,Private,148606,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Local-gov,123983,Masters,14,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +22,Private,24896,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,30,Germany,<=50K +47,Private,573583,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,Italy,>50K +67,Self-emp-inc,106175,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,75,United-States,>50K +43,Private,307767,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,200574,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,59083,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,50,United-States,<=50K +53,Private,358056,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +81,Private,114670,9th,5,Widowed,Priv-house-serv,Not-in-family,Black,Female,2062,0,5,United-States,<=50K +33,Local-gov,262042,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,1138,40,United-States,<=50K +17,Private,206010,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +55,Self-emp-inc,183869,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K +28,Private,159001,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +24,Private,155818,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,96055,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +30,Local-gov,131776,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,228613,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,198163,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,37028,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K +30,Private,177304,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +33,Private,144064,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,146659,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +63,Self-emp-not-inc,26904,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,<=50K +23,Private,238917,7th-8th,4,Never-married,Craft-repair,Other-relative,White,Male,0,0,36,United-States,<=50K +56,Private,170148,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,27821,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,220460,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Canada,<=50K +49,Private,101320,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,1902,40,United-States,>50K +35,Private,173858,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +52,Private,91048,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,35,United-States,<=50K +28,Private,298696,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,207202,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +21,?,230397,Some-college,10,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +43,Self-emp-not-inc,180599,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +32,?,199046,Assoc-voc,11,Never-married,?,Unmarried,White,Female,0,0,2,United-States,<=50K +29,Self-emp-not-inc,132686,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,Italy,>50K +23,Private,240063,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +50,Local-gov,177705,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,48,United-States,<=50K +34,Private,511361,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +19,Private,89397,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,239439,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,36989,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,76978,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K +75,Private,200068,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +24,Private,454941,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,State-gov,107218,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +17,Local-gov,182070,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +31,Private,176360,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +31,Private,452405,Preschool,1,Never-married,Other-service,Other-relative,White,Female,0,0,35,Mexico,<=50K +18,?,297396,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +45,Private,84790,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +31,Private,186787,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,42,United-States,<=50K +27,Private,169662,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +48,Private,125933,Some-college,10,Widowed,Exec-managerial,Unmarried,Black,Female,0,1669,38,United-States,<=50K +22,?,35448,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,22,United-States,<=50K +34,Private,225548,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,United-States,<=50K +26,Private,240842,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,103931,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,232618,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +49,Local-gov,288548,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Private,220609,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,26145,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +23,Private,268525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +68,?,133758,7th-8th,4,Widowed,?,Not-in-family,Black,Male,0,0,10,United-States,<=50K +42,Private,121264,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,29814,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K +27,Private,193701,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,45,United-States,<=50K +38,Private,183279,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +27,Private,163942,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Ireland,<=50K +75,Private,188612,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,102771,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +27,Private,85625,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +36,Self-emp-not-inc,245090,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K +36,Private,131239,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,45,United-States,>50K +35,Private,182074,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +36,Private,187046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +53,Private,90624,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,37933,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,182177,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,35,United-States,<=50K +61,Private,716416,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +29,Private,190562,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,56,United-States,<=50K +40,State-gov,141583,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +37,Private,98941,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +22,Private,201729,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K +43,Self-emp-inc,175485,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,149168,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,115971,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,161708,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +64,Local-gov,244903,11th,7,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +46,Private,155664,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,112754,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,178385,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,48,India,<=50K +20,Private,44064,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K +62,Self-emp-not-inc,120939,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,165134,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,35,Columbia,<=50K +29,Private,100405,10th,6,Married-civ-spouse,Farming-fishing,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,361888,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Japan,<=50K +39,Local-gov,167864,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +39,Private,202950,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,218188,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,32,United-States,<=50K +38,Private,234962,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2829,0,30,Mexico,<=50K +72,?,177226,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +31,Private,259931,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,189528,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +38,Private,34996,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,112584,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +25,Private,117589,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,145234,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,267086,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,52,United-States,<=50K +49,Private,44434,Some-college,10,Divorced,Tech-support,Other-relative,White,Male,0,0,35,United-States,<=50K +26,Private,96130,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Private,181382,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +44,Self-emp-inc,168845,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,<=50K +37,Private,271767,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +42,Private,194636,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +64,State-gov,194894,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,4787,0,40,United-States,>50K +28,Private,132686,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,185848,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,4650,0,50,United-States,<=50K +40,State-gov,184378,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Federal-gov,270859,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,Private,231866,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +49,Private,36032,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,State-gov,172962,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,98350,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1902,40,Philippines,>50K +51,Private,24185,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,53930,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K +24,Private,85088,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1762,32,United-States,<=50K +45,Self-emp-not-inc,94962,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K +28,Private,480861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +42,Self-emp-inc,187702,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K +22,Private,52262,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,State-gov,52636,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,175273,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,327825,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,2238,40,United-States,<=50K +47,Private,125892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,>50K +40,?,78255,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,Private,398827,HS-grad,9,Married-AF-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +61,Private,208919,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +71,Local-gov,365996,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,6,United-States,<=50K +42,Private,307638,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Local-gov,33068,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +46,Self-emp-not-inc,254291,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +50,Local-gov,125417,Prof-school,15,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,52,United-States,>50K +27,State-gov,28848,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,9,United-States,<=50K +40,?,273425,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +21,Private,194723,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,Mexico,<=50K +25,Private,195118,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,35,United-States,<=50K +61,Private,123273,5th-6th,3,Divorced,Transport-moving,Not-in-family,White,Male,0,1876,56,United-States,<=50K +54,Private,220115,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Private,265706,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,279129,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +39,Self-emp-inc,122742,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +57,Self-emp-inc,172654,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,50,United-States,>50K +48,Private,119199,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K +30,Private,107793,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,>50K +35,Private,237943,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +42,Self-emp-not-inc,64632,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +34,Self-emp-not-inc,96245,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,361494,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +69,Local-gov,122850,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +29,Private,173652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,164663,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,98678,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +40,Private,245529,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,55294,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,140583,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,79797,HS-grad,9,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,>50K +72,?,113044,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,283499,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +41,Local-gov,51111,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,232475,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,176140,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,301654,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,376455,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +28,?,192569,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +27,Private,229803,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +20,Private,337639,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,130849,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +32,Private,296282,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,266645,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,State-gov,110128,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,90196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +40,State-gov,40024,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +35,Private,144322,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +74,Self-emp-inc,162340,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,169069,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,113601,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +20,Self-emp-not-inc,157145,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,2258,10,United-States,<=50K +44,Private,111275,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,56,United-States,<=50K +46,Local-gov,102076,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +20,?,182117,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,145409,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +40,Private,190122,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,331482,Prof-school,15,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +60,Self-emp-not-inc,170114,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,84,United-States,<=50K +48,Self-emp-inc,193188,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,267588,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,<=50K +48,Self-emp-inc,200471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +22,?,175586,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K +24,Local-gov,322658,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,State-gov,263982,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,266287,12th,8,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,278187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +65,Self-emp-inc,81413,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2352,65,United-States,<=50K +22,Private,221745,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,140764,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,206351,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,176814,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +42,Local-gov,245307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K +61,State-gov,124971,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +28,Private,119545,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,7688,0,50,United-States,>50K +18,Private,179203,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +24,Federal-gov,44075,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +45,Private,178319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K +24,Private,219754,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,198316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +20,Private,168165,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +35,Private,356838,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,2829,0,55,Poland,<=50K +52,Self-emp-inc,210736,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,173212,Assoc-acdm,12,Never-married,Farming-fishing,Not-in-family,White,Male,2354,0,45,United-States,<=50K +19,Private,130431,5th-6th,3,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K +35,?,169809,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +54,Private,197481,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,155066,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,31290,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +42,Private,54102,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,181546,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,153484,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +44,State-gov,351228,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,131976,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K +26,Private,200639,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Federal-gov,267546,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +41,Private,179875,11th,7,Divorced,Other-service,Unmarried,Other,Female,0,0,40,United-States,<=50K +25,?,237865,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,?,<=50K +43,Private,300528,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,67716,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,10520,0,48,United-States,>50K +48,Federal-gov,326048,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +60,Private,191188,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,32172,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +51,Private,252903,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +37,Federal-gov,334314,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,83704,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,160574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K +27,Private,203776,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +47,Local-gov,328610,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,295589,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K +40,Private,174373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Private,247752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,?,199244,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,139992,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,95680,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,189933,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,498785,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,State-gov,177526,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +64,Self-emp-not-inc,150121,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,>50K +56,Federal-gov,130454,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,119079,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,49,United-States,>50K +33,Private,220939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +33,Private,94235,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,42,United-States,>50K +21,Private,305874,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,62020,HS-grad,9,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Private,235624,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Germany,>50K +43,Local-gov,247514,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,275726,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +45,Private,72896,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Local-gov,110510,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +41,Private,173938,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,?,>50K +27,Private,200641,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Mexico,<=50K +53,Private,211654,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,?,>50K +38,Private,242720,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +31,Private,111567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +41,Private,179533,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +22,State-gov,334693,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,198096,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +41,State-gov,355756,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,19395,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,35,United-States,<=50K +41,Local-gov,242586,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,208358,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,45,United-States,>50K +49,Private,160647,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +20,Private,227943,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +58,Self-emp-not-inc,197665,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +35,Self-emp-not-inc,216129,12th,8,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Trinadad&Tobago,<=50K +30,Local-gov,326104,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +21,Private,57211,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,100219,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K +40,Private,291192,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,State-gov,93415,Bachelors,13,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +35,Private,191502,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +35,Private,261382,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,170230,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K +59,Private,374924,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,320984,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,338320,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +51,Private,135190,7th-8th,4,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,30,United-States,<=50K +71,Private,157909,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,2964,0,60,United-States,<=50K +33,Private,637222,12th,8,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,430084,HS-grad,9,Divorced,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +30,Private,125279,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +20,Private,221955,5th-6th,3,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +51,Self-emp-inc,180195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,208778,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +62,Private,81534,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +37,Private,325538,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,?,<=50K +28,Private,142264,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,Dominican-Republic,<=50K +23,Private,128604,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,48,South,<=50K +39,Private,277886,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +50,Self-emp-inc,100029,Bachelors,13,Widowed,Sales,Unmarried,White,Male,0,0,65,United-States,>50K +31,Private,169269,7th-8th,4,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Local-gov,160472,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +23,?,123983,Bachelors,13,Never-married,?,Own-child,Other,Male,0,0,40,United-States,<=50K +47,Private,297884,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,99131,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,18,United-States,<=50K +32,Private,44392,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +82,?,29441,7th-8th,4,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +49,Private,199029,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,55,United-States,>50K +74,Federal-gov,181508,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,17,United-States,<=50K +22,Private,190625,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +32,Private,194740,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,Greece,<=50K +34,Private,27380,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +59,Private,160631,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +36,Private,224531,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +59,Private,283005,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,101926,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +53,Local-gov,135102,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,2002,45,United-States,<=50K +25,Self-emp-not-inc,113436,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +44,Private,248973,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,65,United-States,<=50K +57,Self-emp-not-inc,225334,Prof-school,15,Married-civ-spouse,Sales,Wife,White,Female,15024,0,35,United-States,>50K +42,Self-emp-not-inc,157562,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,80,United-States,>50K +58,Local-gov,310085,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,129597,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,United-States,<=50K +32,?,53042,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +45,Private,204205,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +47,Private,169324,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,35,United-States,>50K +52,?,134447,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +56,Self-emp-not-inc,236731,1st-4th,2,Separated,Exec-managerial,Not-in-family,White,Male,0,0,25,?,<=50K +52,Private,141301,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,235124,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +36,Self-emp-not-inc,367020,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +41,Private,149102,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K +30,Private,423770,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,Mexico,<=50K +44,Private,211759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +17,?,110998,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +34,Private,56883,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,223062,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +29,Private,406662,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,206600,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,48,Mexico,<=50K +42,Local-gov,147510,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Private,235646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K +26,Private,187577,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +64,Self-emp-inc,132832,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,20051,0,40,?,>50K +46,Self-emp-inc,278322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,278924,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +49,State-gov,203039,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,145651,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +46,Local-gov,144531,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,Private,91145,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,55,United-States,<=50K +49,Self-emp-not-inc,211762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,?,111563,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,180985,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +31,Private,207537,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,1669,50,United-States,<=50K +19,Private,417657,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +45,Private,189890,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,38,United-States,<=50K +34,Private,223212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,Peru,>50K +26,Private,108658,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,190023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,Private,222130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +36,Self-emp-inc,164866,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,170983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +30,Private,186269,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,286026,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,403433,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K +21,?,224209,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,30,United-States,<=50K +73,Private,123160,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +38,Federal-gov,99527,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,123178,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,231043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +52,Local-gov,317733,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +58,Private,241056,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K +34,Local-gov,220066,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Private,180342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,31840,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,183168,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,386036,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +31,Local-gov,446358,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,Mexico,>50K +45,Private,28035,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K +40,Private,282155,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +27,Private,192384,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,383637,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +29,Private,457402,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,25,Mexico,<=50K +34,Self-emp-inc,80249,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +32,State-gov,159537,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,240859,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K +33,Private,83446,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +74,?,29866,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +62,Private,185503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +39,Self-emp-not-inc,68781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,220589,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,51136,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,54560,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +76,?,28221,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Canada,>50K +25,Private,201413,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,40425,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,28,United-States,<=50K +31,Private,189461,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,41,United-States,<=50K +53,Private,200576,11th,7,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +61,Private,92691,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,3,United-States,<=50K +47,Private,664821,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +37,Private,175130,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +50,Self-emp-not-inc,391016,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Private,249315,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K +58,Private,111169,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,334946,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,352248,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,173804,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +56,Private,155449,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,73689,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +23,Private,227594,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K +47,Private,161676,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +68,Private,75913,12th,8,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +47,Local-gov,242552,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Federal-gov,352094,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,Guatemala,>50K +26,Private,159732,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,131230,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,1590,40,United-States,<=50K +46,Private,180695,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,189922,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +37,Private,409189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,111252,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K +59,Private,294395,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,172718,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,43403,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Female,0,1590,54,United-States,<=50K +63,Private,111963,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K +45,Private,247869,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +59,Private,114032,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,?,356838,12th,8,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,179633,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,19847,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,231689,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,209942,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +53,Private,197492,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,262439,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +46,Private,283037,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +79,?,144533,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,30,United-States,<=50K +31,Private,83446,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,215443,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Local-gov,268252,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,62,United-States,<=50K +40,Private,181015,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,47,United-States,<=50K +41,Self-emp-inc,139916,Assoc-voc,11,Married-civ-spouse,Sales,Husband,Other,Male,0,2179,84,Mexico,<=50K +20,Private,195770,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,26,United-States,<=50K +45,Private,125194,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +27,Private,58654,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,252327,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +30,Private,116508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +36,Private,166988,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +25,Private,374163,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,Other,Male,0,0,40,Mexico,<=50K +30,?,96851,Some-college,10,Never-married,?,Not-in-family,White,Female,0,1719,25,United-States,<=50K +31,Private,196788,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,186172,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K +26,Private,245628,11th,7,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,20,United-States,<=50K +25,Private,159732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,129856,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,182812,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,3325,0,52,Dominican-Republic,<=50K +41,Private,314322,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +35,Private,102976,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +57,Self-emp-inc,42959,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +21,Private,256356,11th,7,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,Mexico,<=50K +29,Private,136277,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K +36,Private,284616,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,185554,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +51,Private,138847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,33487,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,84306,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,50,United-States,<=50K +40,Self-emp-not-inc,223881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K +61,Private,149653,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,348739,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +20,?,235442,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +21,Private,34506,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,346964,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,192208,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,305874,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,United-States,<=50K +35,Self-emp-not-inc,462890,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +39,Private,89508,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,200153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,179446,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,208965,9th,5,Never-married,Machine-op-inspct,Unmarried,Other,Male,0,0,40,Mexico,<=50K +32,Private,40142,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,57452,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,327573,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,151267,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,15024,0,40,United-States,>50K +44,Private,265266,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,203836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,Columbia,<=50K +51,?,163998,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,20,United-States,>50K +46,Self-emp-not-inc,28281,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +51,Private,293196,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,Iran,>50K +45,Private,214627,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Male,15020,0,40,Iran,>50K +20,Private,368852,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,353396,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,161745,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +18,Private,97963,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +61,Self-emp-inc,156542,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +50,State-gov,198103,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,55377,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,173730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Private,374588,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +39,Self-emp-not-inc,174330,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,78141,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +66,?,190324,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,18,United-States,<=50K +26,Private,31350,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,243607,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +47,Local-gov,134671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,197023,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +52,Private,117674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,169815,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +43,Private,598606,9th,5,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,50,United-States,<=50K +42,Federal-gov,122861,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,166235,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,30,United-States,<=50K +41,Private,187821,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K +34,Private,340940,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K +52,Self-emp-not-inc,194791,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,231323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,305597,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +19,Private,25429,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +46,State-gov,192779,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +39,Private,346478,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,341368,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,State-gov,295612,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,168936,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +43,Private,218558,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,3325,0,40,United-States,<=50K +37,Private,336598,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,Mexico,<=50K +23,Private,308205,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +39,Local-gov,357173,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,59,United-States,<=50K +54,Private,457237,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,284799,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,179423,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,363405,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,50,United-States,>50K +17,Private,139183,10th,6,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,203482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,112554,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,99476,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +50,Private,93690,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +38,Private,220585,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,194638,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +53,Private,154785,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +40,?,162108,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Self-emp-inc,214542,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,161922,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K +46,Private,207940,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +28,Private,259351,10th,6,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +59,Private,208395,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,116391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,239781,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +56,Private,174351,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +50,Self-emp-not-inc,44368,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,El-Salvador,>50K +31,Local-gov,188798,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Private,50122,Assoc-voc,11,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +38,Private,111398,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +25,State-gov,152035,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +18,?,139003,HS-grad,9,Never-married,?,Other-relative,Other,Female,0,0,12,United-States,<=50K +49,Local-gov,249289,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,257726,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +22,?,113175,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,151158,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +35,Private,465326,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,?,356772,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,364782,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Private,198385,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,20,?,<=50K +31,Private,329301,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +17,Self-emp-inc,254859,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,203488,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K +25,Local-gov,222800,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,96452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +50,Private,170050,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,116580,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +50,Private,400004,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +63,Private,183608,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,194055,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,210443,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,43272,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +43,Local-gov,108945,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,<=50K +34,Private,114691,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +18,Private,304169,11th,7,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +46,Private,503923,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,4386,0,40,United-States,>50K +35,Private,340428,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,>50K +46,State-gov,106705,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +59,Private,146391,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +31,Private,235389,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,Portugal,<=50K +27,Private,39665,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K +41,Private,113823,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,<=50K +42,Private,217826,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,?,<=50K +55,Private,349304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,?,197688,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,54507,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,117833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1669,50,United-States,<=50K +36,Private,163396,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +69,Private,88566,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,1424,0,35,United-States,<=50K +33,Private,323619,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,75755,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,148903,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,16,United-States,>50K +25,Private,40915,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +21,Private,182606,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,?,<=50K +18,Private,131033,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,15,United-States,<=50K +35,Self-emp-not-inc,168475,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +20,Private,121568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,139098,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +46,Private,357338,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,283268,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +40,Private,572751,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,Mexico,>50K +40,Private,315321,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,625,52,United-States,<=50K +31,Private,120461,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,65278,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,208503,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Local-gov,112835,Masters,14,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,265038,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,89478,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +55,Private,276229,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +52,Private,366232,9th,5,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Cuba,<=50K +26,Private,152035,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,205339,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K +39,Private,75995,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +62,Self-emp-not-inc,192236,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +19,?,188618,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +47,Private,229737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +51,Local-gov,199688,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +55,Private,52953,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,221043,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +59,Federal-gov,115389,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +45,Self-emp-not-inc,204205,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +52,Private,338816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +21,Private,197387,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,42485,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,367706,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +24,Private,102493,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,263746,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +47,Private,115358,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Private,189680,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +32,?,282622,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,28,United-States,<=50K +34,Private,127651,10th,6,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,44,?,<=50K +63,Private,230823,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K +21,Private,300812,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +18,Private,174732,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,36,United-States,<=50K +49,State-gov,183710,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +81,Self-emp-not-inc,137018,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Self-emp-inc,213008,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,357848,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,165799,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +39,Self-emp-not-inc,188571,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,97883,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +43,Local-gov,105862,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,40,United-States,>50K +39,Local-gov,57424,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +29,Private,151476,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,129583,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,16,United-States,<=50K +57,Private,180920,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +38,Self-emp-not-inc,182416,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,42,United-States,<=50K +25,Private,251915,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +39,Local-gov,187127,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,69045,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +56,Private,192869,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,44,United-States,>50K +39,Private,74163,12th,8,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,60847,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K +17,?,213055,11th,7,Never-married,?,Not-in-family,Other,Female,0,0,20,United-States,<=50K +67,Self-emp-not-inc,116057,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,3273,0,16,United-States,<=50K +41,Private,82393,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +24,Local-gov,134181,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +51,Private,159910,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Male,10520,0,40,United-States,>50K +30,Self-emp-inc,117570,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +47,Self-emp-inc,214169,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,40,United-States,>50K +56,Private,56331,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,32,United-States,<=50K +51,Private,35576,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +57,Self-emp-not-inc,149168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +34,Private,157165,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,278130,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,257200,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,283122,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +23,Private,580248,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,230054,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +58,Private,519006,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +19,?,37332,HS-grad,9,Never-married,?,Own-child,White,Female,1055,0,12,United-States,<=50K +19,?,365871,7th-8th,4,Never-married,?,Not-in-family,White,Male,0,0,40,Mexico,<=50K +68,State-gov,235882,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,60,United-States,>50K +43,Private,336513,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +17,Private,115551,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +53,State-gov,50048,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +37,Self-emp-inc,382802,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,99,United-States,>50K +21,?,180303,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,25,?,<=50K +63,Private,106023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,332379,Some-college,10,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +29,Private,95465,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,96102,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K +27,Private,36440,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K +25,Self-emp-not-inc,209384,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,32,United-States,<=50K +28,Private,50814,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,143865,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +74,?,104661,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +31,Local-gov,50442,Some-college,10,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K +23,Private,236601,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,48,United-States,<=50K +19,Private,100999,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +39,?,362685,Preschool,1,Widowed,?,Not-in-family,White,Female,0,0,20,El-Salvador,<=50K +61,Self-emp-not-inc,32423,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,22040,0,40,United-States,<=50K +59,?,154236,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,7688,0,40,United-States,>50K +27,Self-emp-inc,153546,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,United-States,>50K +19,Private,182355,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +23,?,191444,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Local-gov,44216,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +40,Private,97688,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +53,Private,209022,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +32,Private,96016,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +72,Self-emp-not-inc,52138,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2392,25,United-States,>50K +61,Private,159046,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,138634,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,130125,10th,6,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,1055,0,20,United-States,<=50K +73,Private,247355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,Canada,<=50K +41,Self-emp-not-inc,227065,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,244771,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,20,Jamaica,<=50K +23,Private,215616,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K +65,Private,386672,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K +45,Self-emp-inc,177543,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +52,Federal-gov,617021,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Black,Male,7688,0,40,United-States,>50K +24,Local-gov,117109,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,27,United-States,<=50K +23,Private,373550,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,19847,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,189590,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,58343,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,56,United-States,<=50K +17,Private,354201,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,119422,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,363405,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +63,Private,181863,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,27,United-States,<=50K +27,Private,194472,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Private,247328,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,Mexico,<=50K +71,Self-emp-not-inc,130731,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,236910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,378251,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K +36,Private,120760,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +22,Private,203182,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,20,United-States,<=50K +32,Private,130304,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,48,United-States,<=50K +30,Local-gov,352542,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +60,?,191024,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,197728,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +76,Private,316185,7th-8th,4,Widowed,Protective-serv,Not-in-family,White,Female,0,0,12,United-States,<=50K +41,Private,89226,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,292353,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,United-States,<=50K +45,Private,304570,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +32,Private,180296,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,361487,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,218490,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K +63,Self-emp-not-inc,231777,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,189832,Assoc-acdm,12,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,232308,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,33308,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,333677,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,170651,HS-grad,9,Never-married,Other-service,Own-child,White,Female,1055,0,40,United-States,<=50K +39,Private,343403,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K +53,Private,166386,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K +26,Federal-gov,48099,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,143062,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K +18,Private,104704,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,30497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +44,State-gov,174325,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,40,United-States,>50K +31,Private,286675,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +44,Private,59474,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +42,Private,378384,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K +43,Private,245842,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,Mexico,<=50K +33,Private,274222,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,7688,0,38,United-States,>50K +21,Private,342575,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K +30,Private,206051,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +55,Private,234213,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +57,Private,145189,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,233490,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,344129,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-not-inc,171315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +31,Self-emp-not-inc,181485,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,>50K +51,Private,255412,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,>50K +37,Private,262409,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,213,45,United-States,<=50K +45,Private,199590,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,Mexico,<=50K +47,Private,84726,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,?,226883,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,75,United-States,<=50K +75,Self-emp-not-inc,184335,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +43,Private,102025,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,United-States,<=50K +39,Private,183898,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,60,Germany,>50K +30,Private,55291,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,150025,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,<=50K +44,Private,100584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +53,Local-gov,181755,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,>50K +40,Private,150528,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,107277,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,247205,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,England,<=50K +20,Private,291979,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,270985,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K +48,Private,62605,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Self-emp-not-inc,176863,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,53197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,267776,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +24,Private,308205,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +30,Private,306383,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +70,Private,35494,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +26,Private,291968,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +34,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +46,Private,271828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +70,Private,121993,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,5,United-States,<=50K +37,Local-gov,31023,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,36425,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +23,Private,407684,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +28,Private,241895,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1628,40,United-States,<=50K +44,Self-emp-not-inc,158555,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +58,Private,140363,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,3325,0,30,United-States,<=50K +53,Private,123429,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Private,40060,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,290286,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,?,249271,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,106169,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Private,76487,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,437994,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,20,United-States,<=50K +41,Private,113555,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,7298,0,50,United-States,>50K +36,Private,160120,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +41,Local-gov,343079,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1740,20,United-States,<=50K +27,Private,406662,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,4416,0,40,United-States,<=50K +42,Self-emp-not-inc,37618,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,114158,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +41,Private,115562,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,353994,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,>50K +21,Private,344891,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +44,Private,286750,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +29,Private,194197,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +19,Self-emp-not-inc,206599,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,22,United-States,<=50K +21,Local-gov,596776,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Guatemala,<=50K +46,Private,56841,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,112561,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +43,Private,147110,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,48,United-States,>50K +54,Self-emp-inc,175339,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +38,Private,234901,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +18,?,298133,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,217083,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +30,Private,97757,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +30,Private,151868,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,25864,HS-grad,9,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +26,Private,109419,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Federal-gov,203070,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +32,Private,107843,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,50,United-States,>50K +64,State-gov,264544,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,>50K +18,Private,148644,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K +30,Private,125762,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +36,?,53606,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,3908,0,8,United-States,<=50K +18,Private,193741,11th,7,Never-married,Other-service,Other-relative,Black,Male,0,0,30,United-States,<=50K +27,Private,588905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,115613,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,State-gov,222374,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,United-States,>50K +37,Private,185359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,173647,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,31166,HS-grad,9,Divorced,Prof-specialty,Not-in-family,Other,Female,0,0,30,Germany,<=50K +22,?,517995,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Mexico,<=50K +25,Self-emp-not-inc,189027,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +38,Private,296125,HS-grad,9,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +32,?,640383,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,334291,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,318450,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,80,United-States,>50K +29,Private,174163,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,119721,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,142719,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,162593,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,236852,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +28,Local-gov,154863,HS-grad,9,Never-married,Protective-serv,Other-relative,Black,Male,0,1876,40,United-States,<=50K +39,Private,168894,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +42,Self-emp-not-inc,344920,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K +39,Private,33355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,48,United-States,>50K +68,?,196782,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +37,Self-emp-inc,291518,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,55,United-States,>50K +57,Private,170244,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,369549,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +24,Private,23438,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,>50K +19,Private,202673,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +55,Private,171780,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +37,Local-gov,264503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,244341,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,209109,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,187392,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,State-gov,119578,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +51,Private,195105,HS-grad,9,Divorced,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,101752,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K +74,?,95825,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,3,United-States,<=50K +49,Self-emp-inc,362654,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +20,?,29810,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +40,Federal-gov,77332,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +80,Private,87518,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1816,60,United-States,<=50K +63,Private,113324,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,96299,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,45,United-States,>50K +51,Private,237729,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,200973,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,212456,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +33,Self-emp-not-inc,131568,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,66,United-States,<=50K +49,Private,185859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +20,Private,231981,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K +33,Self-emp-inc,117963,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,60,United-States,>50K +26,Private,78172,Some-college,10,Married-AF-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,164135,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,171216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +47,Private,140664,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,249277,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,75,United-States,<=50K +53,Federal-gov,117847,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,52372,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +26,Federal-gov,95806,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +53,Private,137428,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +65,Private,169047,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K +68,Private,339168,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,504725,10th,6,Never-married,Sales,Other-relative,White,Male,0,0,18,Guatemala,<=50K +28,Private,132870,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +54,Local-gov,135840,10th,6,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,35644,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +22,Private,198148,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +25,Private,220098,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +19,Private,262515,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K +19,?,423863,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +32,Federal-gov,111567,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,194096,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +51,Local-gov,420917,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,197871,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +46,Local-gov,253116,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,206535,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +26,State-gov,70447,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +46,Private,201217,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,209970,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,196745,Some-college,10,Never-married,Other-service,Own-child,White,Female,594,0,16,United-States,<=50K +29,Local-gov,175262,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,<=50K +51,Self-emp-inc,304955,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,181265,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +24,Private,200973,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,37440,Bachelors,13,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +31,Private,395170,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,24,Mexico,<=50K +54,?,32385,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,353213,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +19,Private,38619,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,66,United-States,<=50K +21,Private,177711,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +21,Private,190761,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +23,Private,27776,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,24,United-States,<=50K +37,Federal-gov,470663,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,71738,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +57,Private,74156,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +48,Private,202467,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,40,United-States,>50K +24,Private,123983,11th,7,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +43,Private,193494,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,?,169886,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,20,?,<=50K +40,Private,130571,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,90363,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K +49,Private,83444,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,239093,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,3137,0,40,United-States,<=50K +62,Local-gov,151369,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,56630,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,117095,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,189985,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,?,34862,Some-college,10,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,72,United-States,<=50K +37,Self-emp-inc,126675,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,199806,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +29,Private,57596,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,103459,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +28,Private,282398,Some-college,10,Separated,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K +38,Private,298841,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +45,Private,33300,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +22,?,306031,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,306467,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +20,Private,189888,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,83861,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,117393,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,129934,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +51,Private,179010,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Private,375680,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,?,<=50K +48,Private,316101,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,293305,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +51,Local-gov,175750,HS-grad,9,Divorced,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +41,Private,121718,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,48,United-States,>50K +62,?,94931,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,3411,0,40,United-States,<=50K +50,State-gov,229272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +46,Private,142828,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +54,Private,22743,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,United-States,>50K +68,Private,76371,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K +23,Self-emp-not-inc,216129,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Private,107425,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,611029,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Local-gov,363032,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,170020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,45,United-States,<=50K +34,Private,137900,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +22,Private,322674,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,23778,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,147845,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,31,United-States,<=50K +36,Private,175759,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,166459,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,128212,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Vietnam,>50K +54,Federal-gov,127455,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +63,Private,134699,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +51,Private,254230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,159715,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,116286,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +27,Private,146719,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +35,Private,361888,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +31,?,26553,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,>50K +46,Self-emp-not-inc,32825,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,225768,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +26,Federal-gov,393728,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K +43,Private,160369,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,191807,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +50,Federal-gov,176969,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,1590,40,United-States,<=50K +54,Federal-gov,33863,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +62,?,182687,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,45,United-States,>50K +57,State-gov,141459,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +19,?,174233,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,24,United-States,<=50K +29,Local-gov,95393,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +20,Private,221095,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +53,Private,104501,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +18,?,437851,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +22,?,131230,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,495888,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +69,Private,185691,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +56,Private,201822,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2002,40,United-States,<=50K +53,Local-gov,549341,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,<=50K +28,Private,247445,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,199566,Bachelors,13,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,139057,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,84,Taiwan,>50K +48,Private,185039,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +61,Private,166124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Private,82649,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K +48,Private,109275,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,408328,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,186338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,?,130856,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,251579,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K +47,Private,76612,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,22546,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +72,Private,53684,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,183627,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,73203,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +57,Private,108426,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,48,England,<=50K +50,Private,116287,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,Columbia,<=50K +45,Self-emp-inc,145697,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +52,Private,326156,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +53,Private,201127,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +36,Private,250791,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +46,Private,328216,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,400443,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +75,Private,95985,5th-6th,3,Widowed,Other-service,Unmarried,Black,Male,0,0,10,United-States,<=50K +32,Local-gov,127651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,250679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,103950,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,200199,11th,7,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +46,State-gov,295791,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +39,Private,191841,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,82622,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,160728,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +63,Local-gov,109849,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,21,United-States,<=50K +28,Private,339897,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,Mexico,<=50K +28,?,37215,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,45,United-States,<=50K +49,Private,371299,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +43,Private,421837,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,29702,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,117381,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,62,England,<=50K +42,?,240027,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,338740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +45,?,28359,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,10,United-States,<=50K +29,?,315026,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Federal-gov,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1741,45,United-States,<=50K +30,Private,173005,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +44,Private,286750,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,163985,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +30,Private,219318,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,35,Puerto-Rico,<=50K +42,Private,44121,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +52,Self-emp-not-inc,103794,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +42,Private,310632,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +39,Private,153976,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +43,Private,174575,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K +62,Self-emp-not-inc,82388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,10566,0,40,United-States,<=50K +30,Private,207253,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K +83,?,251951,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Private,746786,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +41,Private,308296,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,20,United-States,<=50K +49,Private,101825,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,40,United-States,>50K +25,Private,109009,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,413363,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K +59,?,117751,Assoc-acdm,12,Divorced,?,Not-in-family,White,Male,0,0,8,United-States,<=50K +44,State-gov,296326,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,208358,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,4650,0,56,United-States,<=50K +40,Private,120277,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Ireland,<=50K +21,Private,193219,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,Jamaica,<=50K +41,Private,86399,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +24,Private,215251,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +67,Self-emp-not-inc,124470,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,228649,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +50,Self-emp-not-inc,386397,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,96798,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +55,?,106707,Assoc-acdm,12,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,>50K +29,Private,159768,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,3325,0,40,Ecuador,<=50K +50,Private,139464,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,Ireland,<=50K +64,State-gov,550848,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,68505,9th,5,Divorced,Other-service,Not-in-family,Black,Male,0,0,37,United-States,<=50K +20,Private,122215,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,52,United-States,<=50K +30,Private,159442,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,80638,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K +52,Private,192390,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +22,Private,191324,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,25,United-States,<=50K +77,?,147284,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,14,United-States,<=50K +19,State-gov,73009,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +52,Private,177858,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,55,United-States,>50K +42,Private,163003,Bachelors,13,Married-spouse-absent,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +35,Private,95551,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +27,Private,125298,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +54,State-gov,198186,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K +37,Private,295949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K +37,Private,182668,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +28,Private,124905,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +63,Private,171635,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,376240,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,42,United-States,<=50K +28,Private,157391,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +23,?,114357,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,178134,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +31,Private,207201,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,124483,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,?,>50K +64,Private,102103,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +40,Private,92036,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +59,Local-gov,236426,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +22,Private,400966,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,404573,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +35,Private,227571,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +20,Private,145917,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +35,Local-gov,190226,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,356555,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +28,Private,66473,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +37,?,172256,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +72,?,118902,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,2392,6,United-States,>50K +25,Self-emp-inc,163039,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Private,89559,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,?,35507,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +31,Private,163303,Assoc-voc,11,Divorced,Sales,Own-child,White,Female,0,0,38,United-States,<=50K +41,Private,192712,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +31,Private,381153,10th,6,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Private,222434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,34706,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,47,United-States,<=50K +57,Self-emp-not-inc,47857,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,195216,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +44,Self-emp-inc,103643,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,60,Greece,<=50K +29,Local-gov,329426,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,183612,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +40,Private,184105,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,211385,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Male,0,0,35,Jamaica,<=50K +21,Private,61777,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +34,Self-emp-not-inc,320194,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,>50K +24,Private,199444,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K +28,Private,312588,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,168675,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +35,Private,87556,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,State-gov,220421,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Federal-gov,404599,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,99065,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Poland,>50K +57,Local-gov,109973,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,246652,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,57423,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,291248,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +50,Private,163708,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,240358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +28,Private,25955,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +44,Private,101593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +29,Self-emp-not-inc,227890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Private,225053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,228472,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +34,Private,245378,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +50,Self-emp-inc,156623,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,50,Philippines,>50K +27,Private,35032,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +31,Private,258849,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,190115,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,63910,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +40,Private,510072,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +28,Private,210867,11th,7,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,263024,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,306785,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-inc,104333,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +66,Private,340734,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,288585,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,20,South,<=50K +38,Private,241765,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,60,United-States,<=50K +25,Private,111058,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,104662,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,22,United-States,<=50K +90,Private,313986,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +41,Local-gov,52037,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,?,146589,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,131776,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,914,0,40,Germany,<=50K +33,Private,254221,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,152909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +39,Self-emp-not-inc,211785,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,20,United-States,<=50K +59,Private,160362,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,387215,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,1719,16,United-States,<=50K +39,Private,187046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,38,United-States,<=50K +19,?,208874,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,169631,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,202956,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,80467,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +28,Private,407672,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,243425,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,50,Peru,<=50K +50,?,174964,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K +36,Private,347491,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,146161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,449432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,175499,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,288825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2258,84,United-States,<=50K +27,Local-gov,134813,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,52,United-States,<=50K +31,Local-gov,190401,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,260617,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,36,United-States,<=50K +31,Private,45604,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,<=50K +59,Private,67841,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,244522,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,48,United-States,>50K +19,Private,430471,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,194698,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,94235,Bachelors,13,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +57,Private,188330,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,78,United-States,<=50K +51,Local-gov,146181,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,177125,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K +30,Self-emp-inc,68330,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,95636,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Private,238329,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +52,Private,416129,Preschool,1,Married-civ-spouse,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +23,Private,285004,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K +90,?,256514,Bachelors,13,Widowed,?,Other-relative,White,Female,991,0,10,United-States,<=50K +25,Private,186294,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Private,188786,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,State-gov,31352,Some-college,10,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K +22,Private,197613,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +33,Local-gov,161942,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,1055,0,40,United-States,<=50K +34,Private,275438,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +65,Private,361721,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,144968,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,15,United-States,<=50K +29,Private,190539,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,6849,0,48,United-States,<=50K +25,Private,178037,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,306985,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,87928,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Private,242619,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,154165,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,511331,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +65,Local-gov,221026,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +56,Self-emp-not-inc,222182,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,<=50K +39,Self-emp-not-inc,126569,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +23,Private,202344,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,190423,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +24,Private,238917,5th-6th,3,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +41,Private,221947,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +40,Self-emp-inc,37997,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,147098,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +38,Private,278253,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +23,Private,195411,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,76196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,120131,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +20,Self-emp-not-inc,186014,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,Germany,<=50K +29,Private,205903,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,125405,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,219838,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,State-gov,19395,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +31,Private,223327,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,114062,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,95654,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,Iran,>50K +38,Private,177305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +66,?,299616,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,117681,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,237651,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +33,State-gov,150570,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,State-gov,106705,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,50,United-States,<=50K +20,?,174714,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +47,Self-emp-inc,175958,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,60,United-States,<=50K +33,Private,144064,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +66,?,107112,7th-8th,4,Never-married,?,Other-relative,Black,Male,0,0,30,United-States,<=50K +20,Private,54152,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,?,<=50K +28,Private,152951,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,190487,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,28,Ecuador,<=50K +25,Private,306666,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,45,United-States,<=50K +37,Private,195148,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,3137,0,40,United-States,<=50K +31,Self-emp-not-inc,226624,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,157569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,22966,Some-college,10,Married-spouse-absent,Tech-support,Unmarried,White,Male,0,0,20,United-States,<=50K +52,Private,379682,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,>50K +29,Private,446559,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +18,Private,41794,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +31,Local-gov,90409,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,125491,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Vietnam,<=50K +27,?,129661,Assoc-voc,11,Married-civ-spouse,?,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K +54,Self-emp-not-inc,104748,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +50,Local-gov,169182,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,49,Dominican-Republic,<=50K +46,Private,324655,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,?,>50K +24,Private,122272,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +17,?,114798,11th,7,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K +49,Self-emp-inc,289707,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Local-gov,137691,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Private,84610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +49,Private,166789,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,348728,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,348092,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,Haiti,<=50K +63,Private,154526,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,288371,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K +23,Private,182342,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,244366,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +66,Private,102423,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +25,Private,259688,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,98733,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +35,Private,174856,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,40,United-States,<=50K +67,Self-emp-not-inc,141797,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,327202,12th,8,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,76996,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,38,United-States,<=50K +34,Private,260560,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,370990,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,129010,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K +21,Private,452640,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +76,Self-emp-inc,120796,9th,5,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,45334,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,70,?,<=50K +26,Private,229523,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,56,United-States,<=50K +18,Private,127388,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +18,?,395567,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,119422,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1672,50,United-States,<=50K +59,Private,193895,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,163083,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K +33,Self-emp-not-inc,155343,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,72,United-States,<=50K +25,Private,73895,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +48,Private,107682,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K +64,Private,321166,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,5,United-States,<=50K +47,Local-gov,154940,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +26,Private,103700,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,63509,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +21,Private,243842,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +54,?,187221,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,Private,58597,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,44,United-States,<=50K +41,Self-emp-not-inc,190290,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,?,158352,Masters,14,Never-married,?,Not-in-family,White,Female,8614,0,35,United-States,>50K +34,Private,62165,Some-college,10,Never-married,Sales,Other-relative,Black,Male,0,0,30,United-States,<=50K +20,?,307149,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +24,Private,280134,10th,6,Never-married,Sales,Not-in-family,White,Male,0,0,49,El-Salvador,<=50K +26,Private,118736,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Private,171114,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +35,Private,169638,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,36,United-States,<=50K +41,Private,125461,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +33,Private,145434,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,152182,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +27,Self-emp-inc,233724,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +32,Private,153963,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +51,Local-gov,88120,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,96330,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Local-gov,66118,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,25,United-States,<=50K +26,Private,182178,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +38,Self-emp-not-inc,53628,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Male,0,0,35,United-States,<=50K +54,Private,174865,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +30,Private,66194,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Outlying-US(Guam-USVI-etc),<=50K +31,Private,73796,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +26,State-gov,28366,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +75,Self-emp-not-inc,231741,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,4931,0,3,United-States,<=50K +29,Private,237865,Masters,14,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +61,Private,195453,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Private,116934,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +22,?,87867,12th,8,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,456399,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,263608,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,263498,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,183765,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,<=50K +27,Federal-gov,469705,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,1980,40,United-States,<=50K +39,Local-gov,113253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +20,Private,138768,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,302146,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +68,Private,253866,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +28,Federal-gov,214858,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +43,Private,243476,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,169104,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,103218,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,57233,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,228320,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +20,Private,217421,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +46,Private,185041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,>50K +27,Self-emp-not-inc,37302,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,70,United-States,>50K +32,Private,261059,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,59767,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,333541,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +20,Private,133352,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +36,Private,99270,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,204629,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,34104,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K +32,Private,312667,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +49,Private,329603,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +36,Private,281021,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,275385,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +52,Federal-gov,129177,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,385591,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,?,201179,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +72,Private,38360,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,16,United-States,<=50K +30,Local-gov,73796,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,67671,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,257621,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +22,Private,180052,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +59,Private,656036,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K +46,Private,215943,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,488720,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +64,Federal-gov,199298,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,30,Puerto-Rico,<=50K +31,Private,305692,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K +64,Private,114994,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +45,Private,88265,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,168569,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +32,Private,175413,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +43,Private,161226,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +66,?,160995,10th,6,Divorced,?,Not-in-family,White,Female,1086,0,20,United-States,<=50K +23,Private,208598,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +49,Self-emp-not-inc,200471,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,256609,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +49,Private,176684,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,206512,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,212640,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,85,United-States,<=50K +47,Private,148724,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,266510,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +34,Local-gov,240252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,358975,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +20,?,124242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,434710,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +25,Private,204338,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,30,?,<=50K +46,Private,241844,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,191342,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +41,Private,221947,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +44,Private,111483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,1504,50,United-States,<=50K +30,Private,65278,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +54,Private,133403,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,166416,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +58,?,142158,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +21,Private,221480,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,25,Ecuador,<=50K +35,Self-emp-not-inc,189878,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Private,278403,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +19,Private,184710,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +48,Private,177775,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,?,275943,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,Nicaragua,<=50K +65,Self-emp-not-inc,225473,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K +40,Private,289403,Bachelors,13,Separated,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K +26,Private,269060,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,449354,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,214413,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,80058,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,202027,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K +22,Self-emp-not-inc,123440,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +37,Private,191524,Assoc-voc,11,Separated,Prof-specialty,Own-child,White,Female,0,0,38,United-States,<=50K +25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +64,Private,164204,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,53,?,<=50K +46,Private,205100,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +30,Private,195750,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,27,United-States,<=50K +63,Private,149756,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +51,Local-gov,240358,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +68,Self-emp-not-inc,241174,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +36,Private,356838,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,<=50K +28,Self-emp-inc,115705,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Local-gov,137142,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,296066,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,401335,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +33,?,182771,Bachelors,13,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,80,Philippines,<=50K +34,Self-emp-inc,186824,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +46,Federal-gov,162187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,98010,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,172538,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +18,Private,80163,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Local-gov,43959,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +51,Private,162632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K +56,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +54,Private,100933,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,270379,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,20109,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Female,0,0,84,United-States,<=50K +53,Private,114758,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +22,Private,100345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +33,Private,184901,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +28,Private,87239,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +63,Private,127363,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,12,United-States,<=50K +53,Federal-gov,199720,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,Germany,>50K +37,Private,143058,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +50,Federal-gov,36489,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,141698,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,26358,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,195532,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K +21,Private,30039,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,125159,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Jamaica,<=50K +20,Private,246250,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,77370,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,355569,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +32,Private,180603,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Private,201785,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +33,Private,256211,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +27,Private,146764,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +22,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Iran,<=50K +29,Private,200515,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +29,Private,52636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,27049,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,111128,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,348038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,Puerto-Rico,>50K +33,Private,93930,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +67,Private,397831,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1539,40,United-States,<=50K +46,Private,33794,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K +45,Private,178215,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +17,Local-gov,191910,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,340110,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,70,United-States,>50K +48,Self-emp-not-inc,133694,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,Black,Male,0,0,40,Jamaica,>50K +49,Private,148398,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,133515,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,181667,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,46,Canada,<=50K +64,Private,159715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +53,Federal-gov,174040,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +52,Private,117700,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,37215,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +32,Self-emp-inc,46807,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +48,Self-emp-not-inc,317360,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +30,Private,425627,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +34,Private,82623,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +19,?,63574,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +39,Private,140854,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,185061,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +17,Private,160118,12th,8,Never-married,Sales,Not-in-family,White,Female,0,0,10,?,<=50K +54,Private,282680,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1762,40,United-States,<=50K +25,Private,198163,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,132749,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,12,United-States,<=50K +48,Local-gov,31264,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,5178,0,40,United-States,>50K +24,Private,399449,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,27494,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Taiwan,<=50K +47,Private,368561,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,102096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +19,Private,406078,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +52,Self-emp-inc,100506,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +52,Private,29658,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,?,20469,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,12,South,<=50K +60,Private,181953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,28,United-States,<=50K +43,Private,304175,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,170070,Assoc-acdm,12,Divorced,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +20,?,193416,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,194908,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,357962,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,214716,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +40,Self-emp-inc,207578,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +54,Private,146409,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,341643,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,50,United-States,<=50K +52,Private,131631,11th,7,Separated,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +53,Private,88842,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +56,?,128900,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,417136,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,336763,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,880,42,United-States,<=50K +29,Private,209301,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K +29,Private,120986,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K +27,Private,51025,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,218281,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +64,Private,114994,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,18,United-States,<=50K +53,Private,335481,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,32,United-States,<=50K +21,Private,174503,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Self-emp-not-inc,230478,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +52,State-gov,149650,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K +38,Private,149419,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,?,341539,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,185099,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +56,?,132930,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,50,United-States,>50K +68,Private,128472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +24,Private,124971,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +40,Self-emp-inc,344060,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Self-emp-inc,286750,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,99,United-States,>50K +38,Private,296999,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +45,Private,123681,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +18,Private,232024,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K +57,Local-gov,52267,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +49,Private,119182,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +25,Private,191230,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Yugoslavia,<=50K +52,Federal-gov,23780,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,184553,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K +26,Self-emp-inc,242651,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +19,Private,246226,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Self-emp-inc,86745,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +25,Private,106889,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +21,Private,460835,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K +48,Self-emp-not-inc,213140,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +33,State-gov,37070,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Canada,<=50K +31,State-gov,93589,HS-grad,9,Divorced,Protective-serv,Own-child,Other,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,213258,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,65,United-States,<=50K +37,State-gov,46814,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +29,?,168873,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Private,284737,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +28,Private,309620,Some-college,10,Married-civ-spouse,Sales,Husband,Other,Male,0,0,60,?,<=50K +49,Private,197418,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +73,?,132737,10th,6,Never-married,?,Not-in-family,White,Male,0,0,4,United-States,<=50K +49,Private,185041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +51,Private,159604,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +40,Private,123557,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,275421,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,167147,12th,8,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K +41,Private,197583,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +46,Private,175109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,>50K +46,Private,117502,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +64,Private,180401,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,146603,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,State-gov,143822,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +21,Private,51985,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,State-gov,48121,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +37,Private,234807,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,7430,0,45,United-States,>50K +39,Federal-gov,65324,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +30,Private,302149,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +25,Private,168403,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1741,40,United-States,<=50K +26,Private,159897,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,416338,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +59,Private,370615,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K +27,Private,219371,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Jamaica,<=50K +55,Private,120970,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +20,Private,22966,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,Canada,<=50K +25,Private,34541,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,Canada,<=50K +28,Private,191027,Assoc-acdm,12,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,107458,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,121832,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +37,Local-gov,233825,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +25,Private,73839,11th,7,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,109165,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +50,State-gov,103063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,29762,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,5013,0,70,United-States,<=50K +46,Private,111979,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +35,Private,150125,Assoc-voc,11,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,?,301853,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,?,296738,11th,7,Separated,?,Not-in-family,White,Female,6849,0,60,United-States,<=50K +40,Private,118001,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Private,149337,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,36601,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Local-gov,118600,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,625,40,United-States,<=50K +39,Private,279272,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,60,United-States,<=50K +35,Private,181020,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K +52,Private,165998,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,218136,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +20,Self-emp-inc,182200,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +46,Private,39363,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,10,?,<=50K +24,Private,140001,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,193260,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,30,India,<=50K +21,Private,191243,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,207887,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K +43,Federal-gov,211450,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,184759,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,26,United-States,<=50K +47,Private,197836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +61,Private,232308,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +21,?,189888,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K +35,Private,301614,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +60,Private,146674,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,225291,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Local-gov,148509,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,India,<=50K +56,Private,136413,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,126060,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,73064,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,35,United-States,<=50K +19,Private,39026,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +28,Self-emp-not-inc,33035,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,193494,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +63,Local-gov,147440,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +22,?,153131,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,64671,HS-grad,9,Divorced,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +35,Self-emp-not-inc,225399,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,8614,0,40,United-States,>50K +20,Private,174391,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,377757,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +30,Local-gov,364310,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,Germany,<=50K +31,Private,110643,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,70240,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,24,Philippines,<=50K +57,State-gov,32694,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,95047,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,44,United-States,>50K +33,Private,264936,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,367329,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,56026,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +22,Private,186452,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +50,Private,125417,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +40,Self-emp-not-inc,242082,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +37,Private,31023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K +40,?,397346,Assoc-acdm,12,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,424079,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +38,Self-emp-not-inc,108947,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K +25,State-gov,261979,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,55507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +22,?,291407,12th,8,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +18,Private,353358,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +41,Private,67339,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K +33,Private,235109,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,208180,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,State-gov,423561,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,145290,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +24,Private,403671,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,49325,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,370494,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +25,Private,267012,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,191856,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,80445,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,379798,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Local-gov,168387,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,301948,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,34095,0,3,United-States,<=50K +36,Private,274809,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +58,Private,233193,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K +34,Private,299635,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +19,Private,236396,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,688355,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,37019,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,148015,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,15024,0,40,United-States,>50K +43,Private,122975,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,21,Trinadad&Tobago,<=50K +52,State-gov,349795,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,229846,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,40,?,<=50K +43,Private,108945,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +22,Private,237498,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,188872,5th-6th,3,Divorced,Transport-moving,Unmarried,White,Male,6497,0,40,United-States,<=50K +37,Private,324019,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,82488,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,38,United-States,<=50K +54,Private,206964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Private,37088,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,152540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +65,Private,143554,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +30,Private,126242,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +22,Private,127185,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,164018,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,50,United-States,<=50K +25,Private,210184,11th,7,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,?,117528,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +47,Private,124973,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +23,Private,182117,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K +42,Private,220049,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,247975,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +55,Private,50164,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +24,State-gov,123160,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,10,China,<=50K +46,Self-emp-inc,219962,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,?,>50K +53,Private,79324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,129100,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,60,United-States,<=50K +40,Private,210275,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,189462,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +26,Private,171114,Assoc-voc,11,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +22,Private,201799,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +35,?,200426,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,12,United-States,<=50K +20,?,24395,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K +43,Private,191149,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Local-gov,34173,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +30,Private,350979,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +41,Private,147314,HS-grad,9,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +38,Private,136081,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +77,?,232894,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,373403,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,120601,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,130926,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K +32,Federal-gov,72338,Assoc-voc,11,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +27,Private,129624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,State-gov,328697,Some-college,10,Divorced,Protective-serv,Other-relative,White,Male,0,0,45,United-States,<=50K +40,Private,191196,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,191117,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +49,Private,110243,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +17,Private,181580,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +29,Private,89030,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,345493,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,55,Taiwan,>50K +24,Self-emp-not-inc,277700,Some-college,10,Separated,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +58,?,198478,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +29,Private,250679,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,168837,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,Canada,>50K +30,Private,142675,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,299050,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +59,Private,107833,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1485,40,United-States,>50K +47,Private,121958,7th-8th,4,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +41,Private,282948,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,3137,0,40,United-States,<=50K +28,Private,176683,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,France,<=50K +46,Private,34377,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,209833,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +66,State-gov,41506,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Local-gov,125159,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,14084,0,45,?,>50K +44,Self-emp-not-inc,147206,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,12,United-States,<=50K +58,Self-emp-not-inc,93664,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +21,Private,315065,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,48,Mexico,<=50K +59,Private,381851,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Local-gov,185769,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,186272,9th,5,Married-civ-spouse,Adm-clerical,Husband,Black,Male,5178,0,40,United-States,>50K +30,Private,312667,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,343925,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +26,Private,195994,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +48,Private,398843,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,35,United-States,<=50K +31,Private,73514,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +36,Private,288049,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +48,Private,54759,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +30,Private,155343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +33,Private,401104,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K +19,?,124884,9th,5,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +37,Local-gov,287306,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,99999,0,40,?,>50K +53,Private,113995,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +18,Private,146378,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,?,<=50K +38,Private,111499,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +34,Private,34374,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,162187,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +33,Local-gov,147654,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,182467,Assoc-voc,11,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,44,United-States,<=50K +22,Private,183970,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +35,Private,332588,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +45,Private,26781,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K +17,Private,48610,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K +50,Private,162632,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +38,Local-gov,91711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +33,Private,198003,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +46,Private,179048,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,?,<=50K +25,Private,262778,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,6849,0,50,United-States,<=50K +64,Private,102470,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,123170,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +32,Private,164243,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +17,Private,262511,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +61,Private,51170,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +40,State-gov,91949,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +21,Private,123727,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +39,Private,173175,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +35,Self-emp-not-inc,120301,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,250967,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,285432,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,36235,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,?,317219,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K +51,Local-gov,110965,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,123283,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,15,United-States,<=50K +20,?,249087,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,152940,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,376680,HS-grad,9,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K +56,Private,231232,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Canada,<=50K +55,Self-emp-not-inc,168625,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,12,United-States,>50K +26,Private,33939,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +46,Private,155659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +32,Local-gov,190228,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,216178,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,587310,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,35,Guatemala,<=50K +23,Private,155919,9th,5,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +59,Private,227386,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,138152,12th,8,Never-married,Craft-repair,Other-relative,Other,Male,0,0,48,Guatemala,<=50K +36,Private,167482,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,57957,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +33,Private,157747,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,70,United-States,<=50K +60,Self-emp-not-inc,88570,Assoc-voc,11,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,15,Germany,>50K +40,Private,273308,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,48,Mexico,<=50K +48,Private,216292,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,43,United-States,<=50K +27,Self-emp-not-inc,131298,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +19,Private,386378,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,179668,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +26,Private,210812,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,43,United-States,<=50K +45,Federal-gov,311671,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K +20,Private,215247,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +32,Federal-gov,125856,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,74631,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,13,United-States,<=50K +22,Private,24008,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,State-gov,354591,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,114,0,38,United-States,<=50K +34,Private,155343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K +46,Private,308334,1st-4th,2,Widowed,Other-service,Unmarried,Other,Female,0,0,30,Mexico,<=50K +39,Private,245361,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +79,Self-emp-not-inc,158319,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +60,?,204486,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K +24,Private,314823,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,Dominican-Republic,<=50K +31,Private,211334,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,65,United-States,<=50K +37,Self-emp-not-inc,73199,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,3137,0,77,Vietnam,<=50K +23,Private,126550,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Private,260782,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,45,El-Salvador,<=50K +29,Private,114224,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,State-gov,64292,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,43,United-States,<=50K +69,?,628797,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +55,Local-gov,219775,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +43,Private,212894,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +23,Private,260019,7th-8th,4,Never-married,Farming-fishing,Unmarried,Other,Male,0,0,36,Mexico,<=50K +29,Private,228075,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,35,Mexico,<=50K +22,Private,239806,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Female,0,0,40,Mexico,<=50K +22,Private,324637,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +25,Private,163620,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,84,United-States,>50K +29,Private,194200,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +25,State-gov,129200,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Federal-gov,207172,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,135312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +31,Private,100734,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,28,United-States,<=50K +30,Local-gov,226443,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K +55,Private,110871,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,192704,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,4650,0,50,United-States,<=50K +47,?,224108,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,78870,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K +42,Private,107762,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Private,183611,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,Germany,<=50K +62,Local-gov,249078,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +65,Self-emp-inc,208452,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +23,Private,302195,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +60,?,199947,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +47,Private,379118,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K +50,Self-emp-inc,174855,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +70,?,173736,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +32,Self-emp-not-inc,39369,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,196348,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,340917,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,14344,0,40,United-States,>50K +76,Private,97077,10th,6,Widowed,Sales,Unmarried,Black,Female,0,0,12,United-States,<=50K +54,Private,200098,Bachelors,13,Divorced,Sales,Not-in-family,Black,Female,0,0,60,United-States,<=50K +32,Federal-gov,127651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,315128,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K +31,Federal-gov,206823,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,>50K +65,Self-emp-not-inc,316093,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,1668,40,United-States,<=50K +30,Private,112115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,Ireland,>50K +63,?,203821,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,250051,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +40,Federal-gov,298635,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1902,40,Philippines,>50K +26,State-gov,109193,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,130849,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +34,Local-gov,43959,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +66,Local-gov,222810,Some-college,10,Divorced,Other-service,Other-relative,White,Female,7896,0,40,?,>50K +44,Self-emp-not-inc,27242,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +30,Private,53158,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,206520,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,164190,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +22,Private,287988,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,?,200819,7th-8th,4,Divorced,?,Own-child,White,Male,0,0,84,United-States,<=50K +23,Private,83891,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,65087,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +39,Self-emp-not-inc,363418,Bachelors,13,Separated,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +67,?,182378,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,9386,0,60,United-States,>50K +19,Private,278870,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +30,Private,174789,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,50,United-States,>50K +25,Private,228608,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Cambodia,<=50K +24,Private,184400,HS-grad,9,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,?,<=50K +46,Private,263568,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,117381,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +41,Federal-gov,83411,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,49156,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +44,Private,421449,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,238944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,188982,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,20,United-States,>50K +48,Private,175925,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +34,Private,164190,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,232914,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,120121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +36,Local-gov,180805,HS-grad,9,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +59,Local-gov,161944,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +29,Private,319149,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +50,?,22428,Masters,14,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,290528,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,123984,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +48,Private,34186,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +51,Federal-gov,282680,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,70,United-States,>50K +36,Private,183892,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,8614,0,45,United-States,>50K +42,Local-gov,195124,11th,7,Divorced,Sales,Unmarried,White,Male,7430,0,50,Puerto-Rico,>50K +49,State-gov,55938,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +33,Private,209900,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,179717,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1564,60,United-States,>50K +26,Private,150361,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,?,164102,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K +59,Private,252714,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,Italy,<=50K +30,Private,205204,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,Local-gov,168906,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +30,Private,112115,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,116531,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,202994,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K +56,Private,191917,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,4101,0,40,United-States,<=50K +24,Private,341294,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,216734,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +51,Private,182187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,35,United-States,<=50K +34,Private,424988,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,379118,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,9,United-States,<=50K +47,Private,168232,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K +20,Private,147171,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +34,Self-emp-inc,207668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,54,?,>50K +31,Private,193650,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,200187,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +52,Private,188644,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +56,Private,398067,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,29658,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,154966,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +81,Private,364099,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +28,?,291374,10th,6,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Federal-gov,97837,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K +34,Private,117983,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,?,345497,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,64167,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,315877,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,2001,40,United-States,<=50K +68,Federal-gov,232151,Some-college,10,Divorced,Adm-clerical,Other-relative,Black,Female,2346,0,40,United-States,<=50K +60,Private,225526,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +37,Federal-gov,289653,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,179462,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,67317,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,77764,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,253438,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +31,Private,150309,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +47,Self-emp-not-inc,83064,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +60,Self-emp-not-inc,376973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +75,Private,311184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K +43,Local-gov,159449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,168288,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,1092,40,Philippines,<=50K +20,Private,275190,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,189838,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +57,Self-emp-inc,101338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +43,Private,331894,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +18,Self-emp-not-inc,40293,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Local-gov,88904,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,145041,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Dominican-Republic,<=50K +35,Private,46385,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,90,United-States,>50K +41,State-gov,363591,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,183327,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,1594,20,United-States,<=50K +32,State-gov,182556,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,45,United-States,>50K +33,Private,267859,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,El-Salvador,<=50K +58,Private,190747,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,162869,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,65,United-States,<=50K +33,Private,141229,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Self-emp-not-inc,174216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +25,Private,366416,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,172538,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +35,Private,193026,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +50,Private,184424,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1902,38,United-States,>50K +49,Local-gov,337768,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Local-gov,179059,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,99549,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,72619,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +42,State-gov,55764,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,30267,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,>50K +25,Private,308144,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +29,Private,206351,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +26,Private,282304,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,?,176077,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,142719,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,114973,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +33,Federal-gov,159548,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Private,91209,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,196564,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-not-inc,149220,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +21,Private,169699,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,218215,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +30,Private,156718,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,55720,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,Self-emp-inc,257250,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,194630,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,398931,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,50,United-States,>50K +37,Self-emp-not-inc,362062,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +44,Local-gov,101593,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,42,United-States,<=50K +33,Private,196266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Local-gov,197332,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,97842,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,86837,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,1902,40,United-States,>50K +17,Private,57324,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +43,Private,116852,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,Portugal,>50K +45,Private,154430,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,10520,0,50,United-States,>50K +37,Private,38468,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Local-gov,188808,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,177163,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,914,0,50,United-States,<=50K +41,Private,187322,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,107578,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,2174,0,40,United-States,<=50K +38,Private,168680,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,256755,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,40,Cuba,<=50K +35,Private,360799,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +18,Private,188476,11th,7,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,30457,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,252752,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +41,Self-emp-not-inc,443508,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,244408,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,24,Vietnam,<=50K +41,Private,178983,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +26,Private,143068,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,50,United-States,<=50K +30,Local-gov,247328,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,201732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Private,246829,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +28,?,290267,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,18,United-States,<=50K +29,Private,119170,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,207923,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +48,State-gov,170142,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,187164,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,60,United-States,<=50K +34,Local-gov,303867,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,291429,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,213179,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +31,State-gov,111843,Assoc-acdm,12,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,297154,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2407,0,40,United-States,<=50K +47,Federal-gov,68493,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +46,Federal-gov,340718,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,194059,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,47296,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,20,United-States,<=50K +28,State-gov,286310,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,207202,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +33,Self-emp-inc,132601,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +17,?,139183,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +41,Private,160785,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,117849,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +38,Local-gov,225605,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,<=50K +24,Private,190290,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Private,164799,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +60,Federal-gov,21876,Some-college,10,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +44,Private,160785,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +63,Self-emp-inc,272425,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,168538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +45,Self-emp-inc,204205,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +49,Private,142287,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,United-States,>50K +36,Private,169926,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Local-gov,205024,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,United-States,<=50K +41,Private,374764,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,0,0,20,United-States,<=50K +25,Private,108779,Masters,14,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +20,?,293136,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +60,Private,227332,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Local-gov,246308,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,Puerto-Rico,<=50K +28,Private,51331,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,16,United-States,>50K +31,Private,153078,Assoc-acdm,12,Never-married,Craft-repair,Own-child,Other,Male,0,0,50,United-States,<=50K +47,Private,169180,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Self-emp-not-inc,193451,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +51,Private,305147,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,138892,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,402397,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,60,United-States,>50K +34,Private,223267,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K +19,Private,29250,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +51,?,203953,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +46,State-gov,29696,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,315640,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,40,China,>50K +37,Private,632613,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K +56,Private,282023,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +29,Private,77760,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +46,Self-emp-not-inc,148599,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +55,Private,414994,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,339863,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,8614,0,48,United-States,>50K +34,Private,499249,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +45,?,144354,9th,5,Separated,?,Own-child,Black,Male,0,0,40,United-States,<=50K +41,Private,252058,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,?,99543,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,117963,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,194652,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,299705,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,37,United-States,<=50K +19,Federal-gov,27433,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +47,Local-gov,39986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,135342,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,270142,Assoc-voc,11,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +33,Self-emp-not-inc,118267,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +29,Private,266043,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,35633,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,74568,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,214816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +43,Private,222971,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +31,Private,259425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-inc,212120,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,245880,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Local-gov,54947,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +47,Self-emp-inc,79627,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,50,United-States,>50K +55,Private,151474,Bachelors,13,Never-married,Tech-support,Other-relative,White,Female,0,1590,38,United-States,<=50K +26,Private,132661,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,5013,0,40,United-States,<=50K +28,Private,161674,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,62346,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,227236,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,283033,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,298249,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,10605,0,40,United-States,>50K +42,Private,251229,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +76,Private,199949,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,13,United-States,<=50K +23,State-gov,305498,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,203836,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,State-gov,79440,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,30,Japan,<=50K +48,Local-gov,142719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,119859,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,>50K +32,Private,141410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +44,Local-gov,202872,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +27,Private,198813,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +33,Federal-gov,129707,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,445758,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +18,?,30246,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,173981,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,108506,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +34,Private,134886,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,181970,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1672,40,United-States,<=50K +57,Self-emp-inc,282913,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,<=50K +59,Local-gov,196013,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Federal-gov,348491,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +52,Private,416164,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,49,Mexico,<=50K +17,Private,121037,12th,8,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +29,Private,103111,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,Canada,<=50K +63,Self-emp-not-inc,147589,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +20,Private,24008,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,24,United-States,<=50K +42,Self-emp-inc,123838,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +50,Self-emp-not-inc,175456,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,84774,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,30,United-States,<=50K +27,Private,194590,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,25,United-States,<=50K +28,Private,134566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +55,Private,211678,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +44,Federal-gov,44822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,State-gov,144586,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,119156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,371987,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,State-gov,144125,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,31905,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +48,Self-emp-not-inc,121124,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +46,Private,58126,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,318518,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,296509,7th-8th,4,Separated,Farming-fishing,Not-in-family,White,Male,0,0,45,Mexico,<=50K +32,Private,473133,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,Private,155434,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +52,Private,99185,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +39,Private,56648,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,47,United-States,<=50K +57,Local-gov,118481,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +21,Private,321666,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K +22,State-gov,119838,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +26,Private,330695,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,State-gov,58039,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,313022,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +42,Private,178134,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,165309,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +22,Private,216181,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +62,Private,178745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +44,Private,111067,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,?,163788,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,295591,1st-4th,2,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +45,Private,123075,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,78045,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +32,Local-gov,255004,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,254221,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +20,Private,174714,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K +68,Self-emp-not-inc,450580,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +61,Private,128230,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +48,Private,192894,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Private,325390,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,20333,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,7688,0,40,United-States,>50K +32,Federal-gov,128714,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,32,United-States,<=50K +35,Private,170797,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,269186,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,127671,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,211840,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,16,United-States,<=50K +37,Private,163392,HS-grad,9,Never-married,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K +40,Private,201495,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,251854,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +41,Private,279297,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,60,United-States,<=50K +52,Self-emp-not-inc,195462,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,>50K +33,Private,170769,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,142443,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,182809,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +53,Private,121441,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,275094,1st-4th,2,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +35,Private,170263,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,172571,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,58,Poland,<=50K +34,Private,178615,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,279524,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,State-gov,165201,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K +65,Local-gov,323006,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +29,Private,235168,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +39,Self-emp-inc,114844,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +46,Local-gov,216414,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +37,Private,34378,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,2580,0,60,United-States,<=50K +47,State-gov,80914,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,47,United-States,>50K +62,Private,73292,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,212165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +90,Private,52386,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +33,Private,205649,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +57,Private,109638,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,45,United-States,<=50K +25,Private,200408,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,187720,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +52,Private,236180,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,118693,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,363130,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,18,United-States,<=50K +39,Private,225544,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Poland,<=50K +59,Federal-gov,243612,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,160786,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +49,Private,234320,7th-8th,4,Never-married,Prof-specialty,Other-relative,Black,Male,0,0,45,United-States,<=50K +34,Private,314646,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,124971,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,209184,Bachelors,13,Married-civ-spouse,Sales,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +39,State-gov,121838,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,265275,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,71417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +34,Private,45522,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Local-gov,250135,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,55,United-States,<=50K +18,Private,120283,12th,8,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +20,Private,216972,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,116791,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +55,State-gov,26290,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K +22,Private,216134,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,143932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,217120,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,State-gov,223944,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +23,Private,185452,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,Canada,<=50K +57,Local-gov,44273,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,178983,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,219288,7th-8th,4,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,349190,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +49,Self-emp-inc,158685,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2377,40,United-States,>50K +41,Federal-gov,57924,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +40,State-gov,270324,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K +38,Private,33001,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +58,Private,204021,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,Canada,<=50K +26,Private,192506,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +57,Private,372967,10th,6,Divorced,Adm-clerical,Other-relative,White,Female,0,0,70,Germany,<=50K +28,Private,273929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1628,60,United-States,<=50K +42,Private,195821,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,56179,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,55,United-States,<=50K +17,?,127003,9th,5,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,124090,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,199600,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +42,Private,255847,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,48,United-States,>50K +51,Self-emp-not-inc,218311,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +27,Private,167336,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +41,Private,59938,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +28,Private,263728,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,278230,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,10520,0,30,United-States,>50K +73,?,180603,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +49,Private,43910,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +47,Private,190139,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,109001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K +42,Local-gov,159931,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +32,Private,194987,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +32,Local-gov,87310,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,41,United-States,<=50K +27,Private,133937,Masters,14,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,207064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,36011,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +41,Federal-gov,168294,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K +49,Local-gov,194895,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,40,United-States,>50K +58,Self-emp-not-inc,49884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +41,Self-emp-not-inc,27305,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,40,United-States,>50K +26,Private,229977,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,64520,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +32,?,134886,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,>50K +37,Private,305379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,202284,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +42,Self-emp-not-inc,99185,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,159662,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Male,0,0,26,United-States,>50K +67,Private,197865,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Local-gov,175149,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,38,United-States,<=50K +49,Local-gov,349633,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +36,Private,135293,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,45,?,<=50K +18,Private,242893,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +25,Private,218667,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,144811,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,146091,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,99999,0,36,United-States,>50K +21,Private,206861,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,?,<=50K +65,Self-emp-not-inc,226215,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +66,Private,114447,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,124187,11th,7,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,60,United-States,<=50K +51,Private,147954,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3411,0,38,United-States,<=50K +27,Self-emp-inc,64379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +17,Private,156501,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +32,Private,207668,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +61,?,161279,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,36,United-States,<=50K +38,Private,225707,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,>50K +43,Local-gov,115603,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,State-gov,506329,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +63,Private,275034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1740,35,United-States,<=50K +76,?,172637,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K +42,Private,56483,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,144778,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +76,Self-emp-not-inc,33213,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,?,>50K +41,Local-gov,297248,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K +17,Private,137042,10th,6,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +30,Self-emp-not-inc,33308,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,158420,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,Iran,<=50K +22,Private,41763,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +53,?,220640,Bachelors,13,Divorced,?,Other-relative,Other,Female,0,0,20,United-States,<=50K +28,Private,149734,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,52,United-States,<=50K +25,?,262245,Assoc-voc,11,Never-married,?,Own-child,White,Female,3418,0,40,United-States,<=50K +24,Private,349691,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +47,Private,185385,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,174463,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,236068,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K +63,?,445168,Bachelors,13,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,56,United-States,<=50K +25,Private,91334,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K +28,Private,33895,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +36,Private,214816,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,229773,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,166386,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,35,Taiwan,<=50K +44,Private,266135,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +18,Private,300379,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +54,Federal-gov,392502,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +61,Private,73809,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,193720,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +43,Private,316183,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,162944,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,186888,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +27,?,330132,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +24,Private,192017,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +20,State-gov,161978,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +52,Private,202930,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +57,Local-gov,323309,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,197332,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +42,Self-emp-inc,204033,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,?,<=50K +22,Private,271274,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,174242,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +21,Private,209483,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +39,Federal-gov,99146,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,60,United-States,>50K +52,Self-emp-not-inc,102346,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +25,Private,181666,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,207367,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,40,Cuba,<=50K +35,State-gov,82622,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +50,Private,202296,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,142182,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +48,Federal-gov,94342,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,41493,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,Canada,<=50K +18,Private,181712,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +29,Self-emp-not-inc,164607,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,41496,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +63,Private,143098,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +36,Local-gov,196529,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +24,Private,157332,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,42,United-States,<=50K +30,Local-gov,154935,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,223231,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K +35,?,253860,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Private,362589,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,94880,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,43,Mexico,<=50K +20,Private,309580,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,130389,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,Scotland,<=50K +21,Private,349365,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,376936,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,179557,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,105577,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +51,Private,224207,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Federal-gov,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Self-emp-not-inc,191283,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,20953,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +22,State-gov,186569,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,12,United-States,<=50K +59,Private,43221,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +38,Private,161141,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,203003,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +90,Private,141758,9th,5,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,113322,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,343847,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K +45,Private,214068,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +44,Private,116632,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,240160,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,516337,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +23,Self-emp-inc,284651,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,43,United-States,<=50K +39,State-gov,141420,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,42750,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,United-States,<=50K +54,Private,165278,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,167265,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +44,Private,139907,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +31,Self-emp-inc,236415,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +25,Private,312966,9th,5,Separated,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +33,Private,118941,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,>50K +32,Private,198068,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +36,Private,373952,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,236111,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,55,United-States,>50K +80,Private,157778,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K +21,Private,143604,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +35,Self-emp-not-inc,319831,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +77,?,132728,Masters,14,Divorced,?,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,137606,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5013,0,40,United-States,<=50K +35,?,61343,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,268234,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,100135,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,25,United-States,<=50K +53,Self-emp-not-inc,34973,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,323790,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,55,United-States,<=50K +57,Private,319733,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K +21,?,180339,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +19,Private,125591,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,60772,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +42,Federal-gov,74680,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Male,0,2001,60,United-States,<=50K +29,Self-emp-not-inc,141185,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +38,?,204668,Assoc-voc,11,Separated,?,Unmarried,White,Female,0,0,25,United-States,<=50K +26,Private,273792,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,70037,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,3004,60,?,>50K +40,Private,343068,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,177907,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +28,Private,144063,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,257574,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +42,Self-emp-not-inc,67065,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,183356,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,152940,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,227128,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,45607,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +49,Private,155489,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,?,230704,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,?,267955,9th,5,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,165115,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,49923,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,272240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,255476,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,Mexico,<=50K +59,Private,194290,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +52,Private,145548,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +27,Private,175262,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +45,Local-gov,37306,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +58,Private,137547,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +53,Private,276515,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,Cuba,<=50K +23,Private,174626,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,215310,11th,7,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,332355,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,204057,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,391591,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,169092,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K +28,Private,230743,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,190963,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +74,?,204840,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,56,Mexico,<=50K +19,Private,169853,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,24,United-States,<=50K +28,Private,212091,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K +31,Private,202822,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,?,226989,Some-college,10,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,140011,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,53,United-States,<=50K +20,?,432376,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,Germany,<=50K +35,Private,90273,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,>50K +23,Private,224424,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,168943,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +19,Private,571853,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +30,Private,156464,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +26,Private,108542,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +34,Local-gov,194325,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +49,Private,114797,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,40135,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2042,40,United-States,<=50K +38,Private,204756,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,228190,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,20,United-States,<=50K +33,Private,163392,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,>50K +54,Private,138845,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Local-gov,169853,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +18,Never-worked,206359,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +60,Private,224097,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,160786,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,190044,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,145290,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,120268,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,70,United-States,<=50K +17,Private,327434,10th,6,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +41,Self-emp-inc,218302,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +30,Private,1184622,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,<=50K +90,Local-gov,227796,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,60,United-States,>50K +25,Private,206343,HS-grad,9,Never-married,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Private,36851,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,148550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,157079,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,>50K +31,Federal-gov,142470,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,86750,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K +63,Private,361631,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +46,Private,163229,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,179594,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,254773,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,50,United-States,>50K +26,Private,58065,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +26,Private,205428,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +20,?,41183,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +19,?,308064,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +61,Private,173924,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Puerto-Rico,>50K +23,State-gov,142547,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,119704,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,275364,Bachelors,13,Divorced,Tech-support,Unmarried,White,Male,7430,0,40,Germany,>50K +42,Self-emp-not-inc,207392,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K +31,Private,147215,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,21,United-States,<=50K +31,Private,101562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,55,United-States,<=50K +63,Private,216413,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +29,State-gov,188986,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1590,64,United-States,<=50K +43,State-gov,52849,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,304710,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,10,Vietnam,<=50K +17,Private,265657,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +23,Self-emp-not-inc,258298,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,2231,40,United-States,>50K +35,Private,360814,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,53260,HS-grad,9,Divorced,Other-service,Unmarried,Other,Female,0,0,28,United-States,<=50K +50,Self-emp-inc,127315,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +25,Private,233777,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,?,<=50K +26,Local-gov,197530,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,340940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,88432,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,183810,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +90,Private,51744,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,>50K +35,Private,175614,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +31,Self-emp-not-inc,235237,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +60,Private,227266,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +21,Private,146499,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,1579,40,United-States,<=50K +71,Local-gov,337064,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,141003,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +50,Local-gov,117791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,172846,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +23,Private,73514,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +74,Private,211075,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +67,Private,197816,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1844,70,United-States,<=50K +59,Private,43221,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +28,Private,183780,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,40,United-States,<=50K +45,Private,26781,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,271550,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +39,Private,250157,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,63,United-States,<=50K +33,State-gov,913447,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Private,153078,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,South,<=50K +34,Private,181091,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +39,Private,231491,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +29,State-gov,95423,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K +22,Private,234663,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,283602,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,13550,0,43,United-States,>50K +46,Private,328669,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +51,Private,143741,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +44,Private,83508,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,99,United-States,<=50K +56,State-gov,81954,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,261375,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Private,310045,9th,5,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,30,China,<=50K +39,Private,316211,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +45,Federal-gov,88564,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +37,Private,61299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,113364,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +35,?,476573,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +46,Private,267107,5th-6th,3,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,Italy,<=50K +35,Private,48123,12th,8,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,50,United-States,<=50K +33,Private,214635,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,<=50K +48,Private,115585,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,194141,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +18,?,23233,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,89991,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +35,Private,101709,HS-grad,9,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +19,Private,237455,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K +21,Private,206492,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K +56,Private,28729,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,153475,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,El-Salvador,<=50K +45,Private,275517,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,128002,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,<=50K +44,Private,175485,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,12,United-States,<=50K +55,Private,189664,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,Private,209808,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +33,Private,176992,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,154669,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K +25,Private,191271,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,375482,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,102953,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,55,United-States,>50K +53,Private,169182,10th,6,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K +47,Private,184005,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,3325,0,45,United-States,<=50K +49,Self-emp-inc,30751,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +22,Private,145477,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +31,Private,91964,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,49249,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,80,United-States,<=50K +19,Private,218956,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,241306,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,?,251572,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,35,Poland,<=50K +23,Private,319842,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +44,Private,332401,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +54,Local-gov,182388,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +23,Private,205939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +21,Private,203914,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +19,State-gov,156294,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,25,United-States,<=50K +51,Private,254211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,>50K +41,Private,151504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +61,Private,85548,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,18,United-States,>50K +19,Self-emp-not-inc,30800,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +22,Private,131230,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,61850,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,227800,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,<=50K +35,Private,133454,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,104094,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,105422,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,142182,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +41,Private,336643,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,80,United-States,<=50K +62,Self-emp-inc,200577,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +27,Private,208703,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Japan,<=50K +55,?,193895,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,England,<=50K +25,Private,272428,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4416,0,42,United-States,<=50K +33,Private,56701,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,75,United-States,>50K +26,Private,288592,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,266439,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Federal-gov,276868,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +43,Private,131435,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,175127,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +25,Private,277444,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,63296,Masters,14,Divorced,Prof-specialty,Other-relative,Black,Male,0,0,40,United-States,<=50K +28,Private,96337,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,221955,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K +40,Private,197923,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,2977,0,40,United-States,<=50K +29,Private,632593,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,205970,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K +25,Private,139730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K +18,Private,201901,11th,7,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +32,State-gov,230224,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +27,Private,113464,1st-4th,2,Never-married,Other-service,Own-child,Other,Male,0,0,35,Dominican-Republic,<=50K +48,Private,94461,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,16,United-States,<=50K +20,Private,271379,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +55,Private,231738,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,England,<=50K +33,Local-gov,198183,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +21,State-gov,140764,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +43,Self-emp-not-inc,183479,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +35,Private,165767,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,139364,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +19,Private,227491,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +25,Private,222254,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,193494,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,>50K +27,Private,29261,Assoc-acdm,12,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +39,Private,174368,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +69,Private,108196,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,110622,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +20,?,201680,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +37,Private,130277,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Local-gov,98130,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,39,United-States,<=50K +62,?,235521,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K +34,State-gov,595000,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +31,Self-emp-not-inc,349148,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +42,State-gov,117583,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,60,United-States,>50K +26,Private,164583,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +39,Private,340091,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,75,United-States,<=50K +25,Private,49092,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +54,Local-gov,186884,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,30,United-States,<=50K +44,State-gov,167265,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +34,State-gov,34104,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,38,United-States,>50K +21,Self-emp-inc,265116,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,128378,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,?,<=50K +33,Private,158416,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Self-emp-inc,169878,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +44,Private,296728,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,342458,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +21,Local-gov,38771,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,269300,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,60,United-States,<=50K +43,Private,111483,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +57,?,199114,10th,6,Separated,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +51,Local-gov,33863,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,132874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,277024,HS-grad,9,Separated,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,112160,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,703067,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +58,Private,127264,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-inc,257200,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,57206,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,201319,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,114079,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +45,Private,230979,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,292472,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +64,?,286732,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Local-gov,134444,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,<=50K +30,Private,172403,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Private,191357,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,?,279288,10th,6,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K +60,Private,389254,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,303867,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,44,United-States,<=50K +47,Private,164113,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,United-States,>50K +39,Private,111499,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,266084,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,45,United-States,>50K +27,Private,61580,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Private,231348,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,164748,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,205337,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +58,Self-emp-not-inc,54566,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +45,Private,34419,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +59,Private,116442,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,290740,Assoc-acdm,12,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,255582,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,112517,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K +44,Private,169397,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,172664,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +27,Private,329005,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,123253,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +55,Private,81865,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,173314,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,60,United-States,<=50K +31,Private,34572,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +57,Self-emp-inc,159028,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +30,Private,149184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +78,?,363134,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K +28,Private,308709,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +30,Self-emp-not-inc,257295,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,2258,40,South,<=50K +29,Private,168479,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +66,Private,142501,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,3,United-States,<=50K +60,Private,338345,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +31,Private,177675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,262617,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,2597,0,40,United-States,<=50K +24,Private,200997,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +29,Private,176683,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +44,Private,376072,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +34,Local-gov,177675,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +59,Private,348430,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K +23,Private,320451,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K +23,Private,38151,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,Philippines,<=50K +55,Local-gov,123382,Assoc-voc,11,Separated,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +39,Self-emp-inc,151029,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,484475,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +57,Private,329792,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,75,United-States,<=50K +35,Private,148903,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Local-gov,301614,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +47,Private,176319,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,0,0,38,United-States,>50K +53,State-gov,53197,Doctorate,16,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +23,Private,291407,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +35,Private,204527,Masters,14,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +44,Private,476391,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,224964,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +26,Private,306225,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Poland,<=50K +23,Private,292023,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,94041,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Ireland,<=50K +49,Self-emp-inc,187563,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +36,Private,176101,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,2174,0,60,United-States,<=50K +36,Private,749105,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +41,?,230020,5th-6th,3,Married-civ-spouse,?,Husband,Other,Male,0,0,40,United-States,<=50K +21,Private,216070,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,46,United-States,>50K +54,Self-emp-not-inc,105010,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,198203,Some-college,10,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Local-gov,215419,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,120460,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +46,Private,199316,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K +46,Private,146919,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,174744,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,?,189564,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,1,United-States,<=50K +21,Private,249957,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,146574,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +47,State-gov,156417,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,20,United-States,<=50K +42,Private,236110,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +19,Private,63363,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +25,Private,190107,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,126569,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +35,Private,176756,12th,8,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,115161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +57,Self-emp-not-inc,138892,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +38,Private,256864,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +48,Private,265083,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +34,Private,249948,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +46,Federal-gov,31141,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,164190,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,?,<=50K +45,State-gov,67544,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,174789,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +35,Private,199753,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +62,Private,122246,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,8614,0,39,United-States,>50K +56,?,188166,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,96586,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,189590,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,140590,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,33,United-States,<=50K +35,Private,255702,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K +33,Private,260782,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,>50K +38,Private,169926,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K +37,State-gov,151322,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,192869,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +19,Private,93604,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,1602,32,United-States,<=50K +31,Private,86958,9th,5,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +53,Local-gov,228723,HS-grad,9,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,40,?,>50K +33,Private,192644,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,35,Puerto-Rico,<=50K +72,Private,284080,1st-4th,2,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +54,Private,43269,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +30,Private,190040,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,306108,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,220148,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K +30,Private,381645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,216361,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,16,United-States,<=50K +30,Private,213722,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +35,Private,112271,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,208277,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,44,United-States,>50K +38,State-gov,352628,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,129620,10th,6,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +32,Private,249550,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,44,United-States,<=50K +49,Private,178749,Masters,14,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +76,?,173542,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +60,Private,167670,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +60,Private,81578,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,160662,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +41,Private,163322,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,?,<=50K +24,Private,152189,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,106176,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,60,United-States,>50K +69,State-gov,159191,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,810,38,United-States,<=50K +71,?,250263,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3432,0,30,United-States,<=50K +41,Private,78410,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +32,Private,131379,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,166929,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,380357,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,79190,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,342164,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +44,Private,182616,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +63,Private,339473,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Local-gov,381153,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,56,United-States,>50K +51,Private,300816,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Male,0,0,20,United-States,<=50K +51,Private,240988,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +23,Private,149224,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,168216,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +56,Private,286487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,45,United-States,<=50K +39,Private,305597,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,109766,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +30,Self-emp-not-inc,188798,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,240170,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K +31,Private,459465,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Local-gov,162506,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +43,Self-emp-not-inc,145441,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +37,Federal-gov,129573,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,?,>50K +41,Private,27444,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K +43,Private,195258,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +47,State-gov,55272,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,164526,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2824,45,United-States,>50K +46,Private,27802,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,State-gov,165289,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,274657,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Guatemala,<=50K +24,Private,317175,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +39,Self-emp-inc,163237,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +37,Private,170408,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,?,55950,Bachelors,13,Never-married,?,Own-child,Black,Female,0,0,40,Germany,<=50K +40,Private,76625,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +27,Private,366066,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,349368,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +21,Private,286824,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +32,Private,373263,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,161978,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,543922,Masters,14,Divorced,Transport-moving,Not-in-family,White,Male,14344,0,48,United-States,>50K +46,Local-gov,109089,Prof-school,15,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +46,Private,110151,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +26,Private,34110,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,44,United-States,<=50K +47,Self-emp-not-inc,118506,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K +22,Private,117789,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +34,Self-emp-not-inc,353881,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,200471,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +20,Private,258517,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +28,Private,190367,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,174704,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +23,Private,179413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,329530,9th,5,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,Mexico,<=50K +31,Private,273818,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Mexico,<=50K +46,Private,256522,1st-4th,2,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K +42,Private,196001,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,282660,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,72630,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,50295,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +20,Private,203240,9th,5,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K +56,Self-emp-not-inc,172618,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +41,Private,202168,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +61,Private,176839,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,176140,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,>50K +60,Private,39952,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2228,0,37,United-States,<=50K +33,Private,292465,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +40,?,161285,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +48,Private,355320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Canada,>50K +56,Private,182460,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +50,Private,69345,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,55,United-States,>50K +57,Self-emp-not-inc,102058,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,165804,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,40,United-States,<=50K +46,Private,318259,Assoc-voc,11,Divorced,Tech-support,Other-relative,White,Female,0,0,36,United-States,<=50K +21,Private,117606,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,170718,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,413297,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,190457,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +54,Private,88278,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +32,Local-gov,217296,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,4064,0,22,United-States,<=50K +62,?,97231,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,1,United-States,<=50K +50,Private,123429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Federal-gov,420282,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,498325,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,248533,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +46,Private,137354,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +42,Private,272910,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,206054,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,92141,Assoc-acdm,12,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Private,163199,Some-college,10,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +34,Private,195860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,115717,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2051,40,United-States,<=50K +18,Private,120029,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +33,Private,221762,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Private,342164,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +21,Private,176356,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,133239,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Federal-gov,169101,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,159442,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,174461,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +43,Private,361280,10th,6,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,42,China,<=50K +52,State-gov,447579,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,England,<=50K +27,?,308995,Some-college,10,Divorced,?,Own-child,Black,Female,0,0,40,United-States,<=50K +61,Private,248448,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,161141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,212465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Self-emp-inc,170871,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +43,Local-gov,233865,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +51,Private,163052,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +35,Private,348690,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,34845,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Germany,>50K +22,Private,206861,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,349230,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,Private,130840,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +19,Private,415354,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,132191,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,202466,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +27,?,224421,Some-college,10,Divorced,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,236804,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K +47,Private,102771,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,221403,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,18,United-States,<=50K +76,?,211574,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,1,United-States,<=50K +39,Private,52645,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,276310,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,134613,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,43,United-States,<=50K +44,Private,215479,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,20,Haiti,<=50K +53,Private,266529,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,265807,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Self-emp-not-inc,67716,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,178951,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,241126,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Private,176544,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +45,Private,169180,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +37,Self-emp-not-inc,282461,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +53,Private,157069,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +35,Private,99357,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +38,Self-emp-not-inc,414991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,?,<=50K +65,Self-emp-inc,338316,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,59612,10th,6,Divorced,Farming-fishing,Unmarried,White,Male,0,0,70,United-States,<=50K +24,Private,220426,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,115912,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,27032,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +19,Private,170720,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +60,Private,183162,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,192360,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +78,?,165694,Masters,14,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +26,Private,128553,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +58,Private,209423,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,Cuba,<=50K +37,Self-emp-not-inc,121510,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,<=50K +41,Private,93793,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +30,Private,133602,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,391329,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Private,96359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Greece,>50K +22,Private,203894,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Female,0,0,24,United-States,<=50K +50,Private,196193,Masters,14,Married-spouse-absent,Prof-specialty,Other-relative,White,Male,0,0,60,?,<=50K +25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +18,Private,50879,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,6,United-States,<=50K +21,Private,186849,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,201127,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,110998,HS-grad,9,Never-married,Other-service,Other-relative,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K +39,Private,190466,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,2174,0,40,United-States,<=50K +67,Self-emp-not-inc,173935,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,8,United-States,>50K +19,Private,167140,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1602,24,United-States,<=50K +18,Private,110230,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,11,United-States,<=50K +36,Private,287658,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,224954,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +25,?,394820,Some-college,10,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K +40,Private,37618,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +73,Self-emp-not-inc,29306,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,37314,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +31,Private,420749,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,482732,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,206215,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,101364,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +66,Self-emp-inc,185369,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +66,Private,216856,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,256019,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,348144,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,3325,0,53,United-States,<=50K +24,Private,190293,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,25932,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,176729,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +33,Private,166961,11th,7,Separated,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +50,Private,86373,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,320513,7th-8th,4,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,50,Dominican-Republic,<=50K +34,State-gov,190290,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +41,Local-gov,111891,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,45796,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,108496,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,2907,0,40,United-States,<=50K +41,Self-emp-not-inc,120539,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +36,Self-emp-not-inc,164526,Masters,14,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K +37,Private,323155,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,Mexico,<=50K +28,Private,65389,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +19,Private,414871,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,161607,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +62,Private,224953,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,261382,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +58,Self-emp-not-inc,231818,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Greece,<=50K +42,Self-emp-inc,184018,HS-grad,9,Divorced,Sales,Unmarried,White,Male,1151,0,50,United-States,<=50K +43,Self-emp-inc,133060,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,35032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,304212,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +64,Local-gov,50442,9th,5,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Private,146091,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +26,Private,267431,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +19,Private,121240,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +21,Private,192572,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +32,Private,211028,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,346122,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,5013,0,45,United-States,<=50K +26,Private,202203,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,50,United-States,<=50K +20,Private,159297,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +19,Private,310158,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +33,Federal-gov,193246,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,>50K +23,Private,200089,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +29,Private,38353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,76280,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,243665,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +63,Private,68872,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +34,Private,103596,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,88055,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K +48,Private,186203,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,257910,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,200227,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,124975,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,27828,0,55,United-States,>50K +32,Private,227669,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +22,Private,117210,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Greece,<=50K +25,Private,76144,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,Private,98667,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +24,Local-gov,155818,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,44,United-States,<=50K +29,Private,283760,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +73,?,281907,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K +39,Private,186183,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Self-emp-inc,202153,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,365683,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,>50K +22,Private,187538,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +33,?,209432,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K +33,Private,126950,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,110028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,104660,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K +57,Self-emp-not-inc,437281,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +42,Private,259643,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K +22,Private,217961,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,1719,30,United-States,<=50K +21,?,134746,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +42,Self-emp-not-inc,120539,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +39,Private,25803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +41,Private,63596,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K +20,Local-gov,325493,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +47,Private,211239,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,206686,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,427965,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,218550,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,14084,0,16,United-States,>50K +71,Private,163385,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,35,United-States,>50K +52,Private,124993,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K +36,Private,107410,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,152373,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,>50K +37,Private,161226,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K +26,Private,213799,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,204461,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +35,Private,377798,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +20,Private,116375,9th,5,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +34,Local-gov,210164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +56,Self-emp-not-inc,258752,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,327435,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +24,Private,301199,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,186221,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +23,Private,203924,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,192236,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,152035,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,201454,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,156580,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,United-States,>50K +51,Private,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,106753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +59,Private,359292,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +29,Private,83003,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,78817,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,200967,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,36,United-States,<=50K +38,State-gov,107164,Some-college,10,Separated,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,189674,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,28,?,<=50K +34,Self-emp-not-inc,90614,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Self-emp-not-inc,323790,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,70,United-States,>50K +45,Self-emp-not-inc,242552,12th,8,Divorced,Craft-repair,Other-relative,Black,Male,0,0,35,United-States,<=50K +21,Private,90935,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +64,Self-emp-inc,165667,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,Canada,>50K +32,Private,162604,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +45,Private,205424,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +53,Private,97411,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +42,Private,184857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +32,Private,165226,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,115784,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,368476,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,Mexico,<=50K +28,Private,53063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +29,?,134566,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +32,Private,153471,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K +37,Self-emp-inc,107164,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,2559,50,United-States,>50K +38,Private,180303,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K +44,Local-gov,236321,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +19,Private,141868,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +22,?,367655,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,203518,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,119558,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Private,108276,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,385452,10th,6,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,162003,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,349028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,45114,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +44,Private,112797,9th,5,Divorced,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +28,Private,183639,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,177121,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,239755,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,150361,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,293091,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +24,Private,200089,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Mexico,>50K +40,Private,91836,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,324960,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +79,Local-gov,84616,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,7,United-States,<=50K +44,Private,252930,10th,6,Divorced,Adm-clerical,Unmarried,Other,Female,0,0,42,United-States,<=50K +51,Private,44000,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,50,United-States,>50K +30,Private,154843,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,99307,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,3103,0,48,United-States,>50K +41,Private,182567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +33,Private,93206,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +50,Private,100109,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K +51,Private,114927,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +41,Private,121287,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,189916,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,>50K +34,Private,157747,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,39232,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Self-emp-inc,133861,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,505980,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +67,?,183374,HS-grad,9,Widowed,?,Not-in-family,White,Female,2329,0,15,United-States,<=50K +65,Private,193216,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,9386,0,40,United-States,>50K +39,Self-emp-not-inc,140752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,549349,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,179008,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-not-inc,190554,10th,6,Divorced,Exec-managerial,Own-child,White,Male,0,0,60,United-States,>50K +47,Private,80924,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +51,Local-gov,319054,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +34,Private,297094,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +52,Private,170562,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +29,Private,240738,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,297544,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,169905,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,149637,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,182526,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,158315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +61,Self-emp-inc,227232,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,96483,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,8614,0,60,United-States,>50K +41,Private,286970,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,223529,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,0,43,United-States,<=50K +78,Self-emp-not-inc,316261,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,99999,0,20,United-States,>50K +40,Private,170214,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +26,Self-emp-not-inc,224361,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K +43,Private,124919,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K +55,?,103654,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Private,306352,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,<=50K +26,Self-emp-not-inc,227858,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K +43,Self-emp-inc,150533,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K +25,Private,144478,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,Poland,<=50K +22,Private,254547,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,30,Jamaica,<=50K +52,Self-emp-not-inc,313243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +61,Private,149981,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,2414,0,5,United-States,<=50K +42,Private,125461,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,306967,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,192976,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +65,Private,192133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,40,Greece,<=50K +56,?,131608,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,10,United-States,<=50K +33,Federal-gov,339388,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,203240,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,83827,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,24,United-States,<=50K +45,Self-emp-inc,160440,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +42,Private,108502,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,42,United-States,<=50K +37,Private,410913,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Other,Male,0,0,40,Mexico,<=50K +56,Private,193818,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,?,163582,10th,6,Divorced,?,Unmarried,White,Female,0,0,16,?,<=50K +40,Private,103789,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,32,United-States,<=50K +31,Private,34572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,43408,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,State-gov,105787,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,90693,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +45,Self-emp-not-inc,285575,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +47,Local-gov,56482,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,50,United-States,>50K +22,Private,496025,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +33,Private,382764,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,259284,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K +48,Self-emp-not-inc,185385,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,98,United-States,<=50K +57,Self-emp-not-inc,286836,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +47,Private,139145,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +58,Local-gov,44246,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,169611,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,133403,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,187327,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,180032,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,46561,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +23,Private,86065,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Self-emp-not-inc,256014,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,188403,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,396758,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,70,United-States,>50K +25,Private,60485,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,271276,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K +56,Private,229525,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,34574,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +19,State-gov,112432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +20,Private,105312,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +34,Private,221396,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,304872,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,319733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,176012,9th,5,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,23,United-States,<=50K +31,Private,213750,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,248384,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,351187,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +51,Private,138179,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,1876,40,United-States,<=50K +59,Private,50223,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,117477,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K +40,Private,194360,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,118108,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +25,Local-gov,90730,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +18,Self-emp-inc,38307,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K +41,Private,116391,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,210496,10th,6,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,168475,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,174386,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +39,Private,166744,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +19,Private,375114,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,373469,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,339667,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,41,United-States,<=50K +39,Private,91711,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,82049,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,236242,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +57,Self-emp-inc,140319,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +33,Local-gov,34080,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +56,Private,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +60,Private,187124,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,72310,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +58,Private,175127,12th,8,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,205707,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K +45,Local-gov,236586,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +18,Private,71792,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +56,Private,87584,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,136878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +40,Private,287983,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,2258,48,Philippines,<=50K +38,Private,110607,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +58,Private,109015,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,235071,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +63,Private,88653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +51,Private,332243,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,?,291547,5th-6th,3,Married-civ-spouse,?,Wife,Other,Female,0,0,40,Mexico,<=50K +44,Private,45093,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +46,Federal-gov,161337,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,State-gov,211222,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,295117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,England,>50K +31,Private,206541,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,238415,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +21,Private,29810,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,108023,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,114324,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +54,Private,172281,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,50,United-States,<=50K +59,Local-gov,197290,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,191177,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +57,Private,562558,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,79531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Self-emp-inc,157881,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Self-emp-not-inc,204816,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,185695,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +39,Self-emp-inc,167482,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Self-emp-inc,83748,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,70,South,<=50K +27,Private,39232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,236827,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,154410,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,135308,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,204042,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +20,Private,308239,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +55,Private,183884,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,98948,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,141642,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,162623,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-inc,186934,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,179512,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +25,Private,391192,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K +31,Private,87054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,30008,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,113466,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +70,Private,642830,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,32,United-States,<=50K +23,Private,182117,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,162432,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,242184,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,Private,170850,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,4064,0,60,United-States,<=50K +56,Private,435022,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +79,Private,120707,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,El-Salvador,>50K +20,Private,170800,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +30,Private,268575,HS-grad,9,Never-married,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +27,Private,269354,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,?,<=50K +40,Private,224232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +60,?,153072,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +58,Private,177368,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +71,Self-emp-not-inc,163293,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,2,United-States,<=50K +50,Private,178530,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +29,Local-gov,183523,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Iran,<=50K +33,Private,207267,10th,6,Separated,Other-service,Unmarried,White,Female,3418,0,35,United-States,<=50K +60,State-gov,27037,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +33,Private,176711,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +43,Private,163215,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,?,>50K +33,Private,394727,10th,6,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +33,Private,195488,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,52,United-States,<=50K +32,State-gov,443546,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,121023,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K +38,Private,51838,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,258888,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +39,State-gov,189385,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,30,United-States,<=50K +17,Private,198146,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +21,Private,337766,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,210525,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K +42,Private,185602,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +36,Private,173804,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,251243,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +37,Self-emp-not-inc,415847,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,119793,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,181705,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,182360,HS-grad,9,Separated,Prof-specialty,Unmarried,Other,Female,0,0,60,Puerto-Rico,<=50K +49,Private,61885,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,146520,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,323790,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,146268,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,287031,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K +33,Local-gov,292217,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,88126,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,143046,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,401623,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,Jamaica,>50K +36,Self-emp-not-inc,283122,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,60,United-States,>50K +84,Self-emp-not-inc,155057,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +23,Private,260254,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,152292,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +55,Self-emp-inc,138594,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +30,Self-emp-not-inc,523095,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Private,175262,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +55,Private,323706,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +34,Private,316470,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,163815,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,72208,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +52,Local-gov,74784,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +36,Private,383518,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,99999,0,40,United-States,>50K +25,Self-emp-not-inc,266668,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,347519,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,336088,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,<=50K +36,Private,190350,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,204052,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +66,?,31362,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +90,Self-emp-not-inc,155981,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,10566,0,50,United-States,<=50K +67,Private,195161,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,United-States,>50K +22,Self-emp-inc,269583,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K +47,Private,26994,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +32,Private,116539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,55,United-States,>50K +55,Self-emp-not-inc,189933,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,101283,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,113598,Some-college,10,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +21,Private,188793,HS-grad,9,Married-civ-spouse,Sales,Husband,Other,Male,0,0,35,United-States,<=50K +33,Private,109996,Assoc-acdm,12,Married-spouse-absent,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,195681,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,?,<=50K +47,Private,436770,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,84253,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +44,Self-emp-inc,383493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +23,Private,216867,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,37,Mexico,<=50K +18,Private,401051,10th,6,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +56,Private,83196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,325596,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +43,Private,187322,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,193949,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K +26,Private,133373,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K +42,Private,113324,HS-grad,9,Widowed,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,178818,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,152810,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,335997,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,55,United-States,>50K +40,Private,436493,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +27,Private,704108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Local-gov,150084,Some-college,10,Separated,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +42,Private,341204,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Private,187336,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,204209,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +42,Self-emp-not-inc,206066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,<=50K +38,Private,63509,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,391121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +31,Private,56026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Self-emp-not-inc,60981,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K +21,Private,228255,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +24,Private,86745,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +55,Private,234327,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,59948,9th,5,Never-married,Adm-clerical,Unmarried,Black,Female,114,0,20,United-States,<=50K +31,Private,137814,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +23,Private,167692,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,245090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +51,Self-emp-not-inc,256963,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,160033,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,30,United-States,<=50K +38,Local-gov,289430,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +52,Local-gov,305053,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +70,Self-emp-not-inc,172370,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +53,Private,320510,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,171355,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,65027,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +18,Private,215190,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,?,149385,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +19,?,169324,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +24,Private,138938,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,557082,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,Private,273287,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +34,Self-emp-not-inc,77209,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K +35,Private,317153,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,95469,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,45,United-States,>50K +18,Private,302859,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,333651,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K +30,Private,177596,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +40,Self-emp-inc,157240,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,30,Iran,>50K +22,Private,184779,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,138358,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K +70,Private,176285,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,23,United-States,<=50K +43,Private,102180,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +77,Self-emp-not-inc,209507,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,229741,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,324546,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,39,United-States,<=50K +51,Private,337195,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,50,United-States,>50K +58,State-gov,194068,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +22,Private,250647,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +33,Private,477106,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,104329,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,224566,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +32,Private,169841,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +41,Private,42563,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,25,United-States,>50K +37,Private,31368,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,132755,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +50,Private,279129,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +31,?,86143,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +54,State-gov,44172,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +23,State-gov,93076,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +40,Private,146653,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +29,Private,221366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,Germany,<=50K +38,Private,189404,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,?,<=50K +30,Private,172304,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +20,Private,116666,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,8,India,<=50K +43,Self-emp-not-inc,64112,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,55718,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,25,United-States,<=50K +39,Private,126675,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +48,Private,102112,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Self-emp-not-inc,226505,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,211527,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,175069,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Yugoslavia,<=50K +25,Private,25249,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,73411,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,207185,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,Puerto-Rico,>50K +66,Private,127139,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,Private,41809,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,297449,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K +46,Private,141483,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +42,Local-gov,117227,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +46,Private,377401,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,70,Canada,>50K +34,Local-gov,167063,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,253759,Some-college,10,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,40,United-States,<=50K +42,Private,183096,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,269654,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +70,?,293076,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,34104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,80057,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Germany,>50K +42,Self-emp-inc,369781,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,0,25,United-States,<=50K +21,Private,223811,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,163053,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,189461,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K +50,Local-gov,145166,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +37,Private,86310,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +19,?,263224,11th,7,Never-married,?,Unmarried,White,Female,0,0,30,United-States,<=50K +44,Federal-gov,280362,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,301031,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +30,Private,74966,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,24,United-States,<=50K +36,Private,254493,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +49,Self-emp-not-inc,204241,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Private,225024,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Local-gov,148222,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +75,State-gov,113868,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,20,United-States,>50K +42,Private,132633,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,?,<=50K +37,Private,44780,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,86373,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,25,United-States,<=50K +61,Local-gov,176753,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,164707,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Female,2174,0,55,?,<=50K +50,Local-gov,370733,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +59,Private,216851,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,137951,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +22,Private,185279,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +56,Private,159724,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +44,Private,103233,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,63509,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,174353,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,168109,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,50,United-States,>50K +27,Private,159724,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,105010,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2051,20,United-States,<=50K +30,Private,179112,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,?,<=50K +46,Private,364913,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,155664,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +61,Private,230568,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +33,Private,86492,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,87,United-States,<=50K +40,Private,71305,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,189933,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +46,Self-emp-inc,191978,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,50,United-States,>50K +35,Private,38948,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-inc,139127,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +37,Private,301568,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +64,Private,149044,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2057,60,China,<=50K +41,Private,197344,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,54,United-States,<=50K +18,Private,32244,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,594,0,30,United-States,<=50K +44,Self-emp-not-inc,315406,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,88,United-States,<=50K +41,State-gov,47170,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,48,United-States,>50K +33,State-gov,208785,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +37,Private,196338,9th,5,Separated,Priv-house-serv,Unmarried,White,Female,0,0,16,Mexico,<=50K +34,Private,269243,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Federal-gov,215115,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,?,<=50K +20,Private,117767,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,176101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,138283,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Self-emp-not-inc,132320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +22,Federal-gov,471452,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,8,United-States,<=50K +55,Private,147653,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,73,United-States,<=50K +20,Private,49179,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,174921,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Self-emp-inc,95997,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K +40,Private,247245,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,67072,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +54,?,95329,Some-college,10,Divorced,?,Own-child,White,Male,0,0,50,United-States,<=50K +24,Private,107882,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,241825,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,46,United-States,<=50K +18,Private,79443,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +49,Self-emp-not-inc,233059,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,226980,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K +34,Self-emp-not-inc,181087,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,305597,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +49,Federal-gov,311671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +74,Private,129879,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,15831,0,40,United-States,>50K +37,Private,83375,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,115824,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1573,40,United-States,<=50K +40,Private,141657,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K +34,Private,50276,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K +30,Private,177216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1740,40,Haiti,<=50K +44,Private,228057,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,Puerto-Rico,<=50K +40,Private,222848,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K +58,Private,121111,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Greece,<=50K +44,Private,298885,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,149909,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,>50K +39,Private,387430,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,18,United-States,<=50K +19,Private,121972,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +41,Private,280167,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,70,United-States,>50K +29,State-gov,191355,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Federal-gov,112115,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +38,?,104094,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +27,Private,211032,Preschool,1,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,41310,0,24,Mexico,<=50K +54,Private,199307,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K +40,Private,205175,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,37,United-States,<=50K +19,Private,257750,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K +17,Private,191260,11th,7,Never-married,Other-service,Own-child,White,Male,594,0,10,United-States,<=50K +33,Private,342730,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K +80,Private,249983,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +24,Self-emp-not-inc,161508,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +28,Private,338376,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,334308,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +21,Private,133471,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,129177,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +19,Private,178811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +42,Private,178537,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +60,Self-emp-not-inc,235535,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +20,?,298155,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +51,Private,145114,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,194096,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +37,State-gov,191779,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,159732,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K +42,Federal-gov,170230,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,60,United-States,>50K +40,Private,104719,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,163083,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,403552,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,32,United-States,<=50K +62,Private,218009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,60,United-States,>50K +47,Private,179313,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +26,Private,51961,12th,8,Never-married,Sales,Other-relative,Black,Male,0,0,51,United-States,<=50K +59,Private,426001,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K +70,Local-gov,176493,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K +26,Private,124068,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +47,Private,108510,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +25,Private,181528,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +52,Self-emp-inc,173754,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +46,Private,169699,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,126849,10th,6,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +34,Private,204470,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,State-gov,116367,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,4650,0,40,United-States,<=50K +22,Private,117363,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Local-gov,106297,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,42,United-States,<=50K +54,Self-emp-not-inc,108933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +24,Private,190143,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,246677,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +38,Private,175360,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,2559,90,United-States,>50K +41,Local-gov,210259,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Private,166304,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,33,United-States,<=50K +43,Private,303051,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +39,Private,49308,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,192262,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +49,Local-gov,192349,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K +37,Self-emp-not-inc,48063,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +43,Private,170214,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Federal-gov,51048,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,246562,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,>50K +57,Local-gov,215175,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,114967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,464536,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,451996,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,138852,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,State-gov,353012,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,321822,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K +50,Self-emp-not-inc,324506,HS-grad,9,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,48,South,<=50K +36,Private,162256,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Local-gov,356689,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,260199,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,103605,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,316211,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,308691,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +39,Private,194404,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +18,Private,334427,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,36,United-States,<=50K +33,Private,213226,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +35,Private,342824,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,1151,0,40,United-States,<=50K +23,Private,33105,Some-college,10,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +37,Private,147638,Bachelors,13,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,36,Philippines,<=50K +25,Private,315643,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +51,Federal-gov,106257,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,342768,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,108960,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +66,?,168071,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,136935,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,13,United-States,<=50K +37,Self-emp-not-inc,188774,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,>50K +29,Private,280344,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +45,Private,202496,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,37,United-States,<=50K +61,Self-emp-inc,134768,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,175686,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,194748,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,49,United-States,<=50K +49,Private,61307,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,38,United-States,<=50K +51,Self-emp-not-inc,165001,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,25236,0,50,United-States,>50K +34,Private,325658,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +28,?,201844,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +20,Private,505980,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,185336,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +49,Self-emp-inc,362795,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,99999,0,80,Mexico,>50K +26,Private,126829,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,264600,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,82743,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,Iran,<=50K +63,Self-emp-not-inc,125178,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,128487,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K +40,Private,321758,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,128220,7th-8th,4,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Private,176814,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Canada,<=50K +35,Private,188069,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,55,?,>50K +23,State-gov,156423,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,169905,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,27828,0,40,United-States,>50K +34,?,157289,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,176972,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +44,Self-emp-not-inc,171424,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,2205,35,United-States,<=50K +33,Private,91811,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,203924,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2597,0,45,United-States,<=50K +55,Private,177484,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,1672,40,United-States,<=50K +17,?,454614,11th,7,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +75,Self-emp-not-inc,242108,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,2346,0,15,United-States,<=50K +61,Private,132972,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,157947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Local-gov,177482,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +48,Private,246891,Some-college,10,Widowed,Sales,Unmarried,White,Male,0,0,50,United-States,>50K +28,State-gov,158834,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,?,203834,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Taiwan,<=50K +29,Private,110442,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,240676,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,192939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,260696,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +40,Local-gov,55363,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,144949,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +55,Private,116878,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,30,United-States,>50K +31,Local-gov,357954,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,20,United-States,<=50K +21,?,170038,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,190290,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Italy,<=50K +26,State-gov,203279,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2463,0,50,India,<=50K +26,Private,167761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +44,Private,138845,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,144844,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K +21,?,161930,HS-grad,9,Never-married,?,Own-child,Black,Female,0,1504,30,United-States,<=50K +26,Private,55743,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +40,Self-emp-not-inc,117721,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +19,Self-emp-not-inc,116385,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,301867,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,238913,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,123983,Some-college,10,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Male,0,0,63,South,<=50K +26,Private,165510,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +64,Private,183513,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +42,Self-emp-inc,119281,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +41,Private,152629,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +45,Private,110171,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,211440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Local-gov,359259,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,125796,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +34,Private,39609,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,111567,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,Germany,>50K +23,Private,44064,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,2559,40,United-States,>50K +35,Self-emp-not-inc,120066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +41,Private,132633,11th,7,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,25,Guatemala,<=50K +39,Private,192702,Masters,14,Never-married,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Private,166813,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +33,Self-emp-inc,40444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,290504,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +25,Private,178505,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,1504,45,United-States,<=50K +25,Private,175370,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +77,Self-emp-not-inc,72931,7th-8th,4,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,20,Italy,>50K +33,?,234542,Assoc-voc,11,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +66,Private,284021,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,277974,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +44,Private,111275,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +45,Self-emp-inc,191776,Masters,14,Divorced,Sales,Unmarried,White,Female,25236,0,42,United-States,>50K +28,Private,125527,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +19,Private,38294,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,2597,0,40,United-States,<=50K +43,Private,313022,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,4386,0,40,United-States,>50K +39,Private,179668,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K +33,Private,198660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,216116,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +62,Private,200922,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,153372,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Private,406603,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,6,Iran,<=50K +23,Local-gov,248344,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K +48,Private,240629,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,>50K +38,Private,314310,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,259785,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,127111,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +29,Private,178272,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +66,Local-gov,75134,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +19,Private,195985,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,221955,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,39,Mexico,<=50K +34,Private,177675,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +39,Private,182828,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Self-emp-not-inc,270889,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Private,183096,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,10,United-States,<=50K +27,Private,336951,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +33,State-gov,295589,Some-college,10,Separated,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K +26,Private,289980,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,Mexico,<=50K +56,Self-emp-inc,70720,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K +46,Private,163352,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K +38,Private,190776,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +90,Private,313986,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +72,Self-emp-inc,473748,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,>50K +20,Private,163003,HS-grad,9,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +29,Private,183061,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +49,Private,123584,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,<=50K +23,Private,120910,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +20,Private,227554,Some-college,10,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,18,United-States,<=50K +57,Private,182677,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,4508,0,40,South,<=50K +46,Private,214955,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,209768,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +24,Private,258120,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,Jamaica,<=50K +49,Private,110015,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Greece,<=50K +54,Private,152652,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +46,Federal-gov,43206,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,50,United-States,>50K +31,Self-emp-not-inc,114639,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +43,Self-emp-inc,221172,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +18,?,128538,Some-college,10,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K +19,Private,131615,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,353824,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,178417,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,178644,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,271665,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +37,?,223732,Some-college,10,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Federal-gov,169003,12th,8,Never-married,Adm-clerical,Own-child,Black,Male,0,0,25,United-States,<=50K +52,State-gov,338816,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,70,United-States,>50K +34,Private,506858,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,>50K +28,Private,265628,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,173495,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,177413,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +39,Private,31670,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +49,Private,154451,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,35,United-States,<=50K +35,Private,265535,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,50,Jamaica,>50K +31,Private,118941,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,214617,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +47,Local-gov,265097,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,4386,0,40,United-States,>50K +46,Private,276087,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,50,United-States,<=50K +43,Private,124692,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +51,Federal-gov,306784,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +21,Private,434102,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,?,387641,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,State-gov,181824,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,35,United-States,>50K +39,Local-gov,177907,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K +58,Private,87329,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +36,Private,263130,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,262882,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,37546,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,35,United-States,>50K +19,Private,27433,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,393945,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +26,Private,173927,Assoc-voc,11,Never-married,Prof-specialty,Own-child,Other,Female,0,0,60,Jamaica,<=50K +38,Private,343403,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +36,Private,111128,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +25,Private,310864,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,?,<=50K +41,Private,128354,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,25,United-States,>50K +33,Private,113364,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,?,198559,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +51,Private,136913,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,115488,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,154227,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,279667,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,281030,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,66,United-States,<=50K +19,Private,283945,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +47,Private,454989,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +26,Private,391349,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,State-gov,166704,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K +36,Private,151835,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K +60,Private,199085,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,61487,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K +19,Private,120251,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,14,United-States,<=50K +42,Private,273230,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,<=50K +36,Private,358373,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,36,United-States,<=50K +35,Private,267891,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K +22,Private,234880,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +54,Private,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,96452,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +55,Private,204751,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +57,Private,375868,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,413373,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,36,United-States,<=50K +24,Private,537222,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Local-gov,33975,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-inc,162327,11th,7,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,182691,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,44,United-States,<=50K +36,Private,300829,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K +51,Local-gov,114508,9th,5,Separated,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,214627,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Private,129684,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,5455,0,50,United-States,<=50K +25,State-gov,120041,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,361138,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K +37,Private,76893,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,205424,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,>50K +61,Private,176839,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +40,Private,229148,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Jamaica,<=50K +58,Self-emp-inc,154537,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K +52,Private,181901,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,20,Mexico,<=50K +18,Private,152004,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +27,Private,205188,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,30840,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,45,United-States,<=50K +63,Private,66634,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +38,Self-emp-not-inc,180220,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,291052,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2051,40,United-States,<=50K +40,Self-emp-not-inc,99651,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,327723,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,32291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K +31,Private,345122,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,50,United-States,>50K +32,Private,127384,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +30,Private,363296,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,72,United-States,<=50K +39,Local-gov,86551,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K +28,Private,30070,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,595000,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,35,United-States,<=50K +21,?,152328,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +33,?,177824,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +44,State-gov,111483,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,199555,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,50018,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +36,Private,218490,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +39,Private,49020,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1974,40,United-States,<=50K +61,Private,213321,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K +31,Private,159187,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,83033,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,Germany,<=50K +39,Self-emp-not-inc,31848,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,90,United-States,<=50K +34,Self-emp-not-inc,24961,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +21,Private,182117,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +75,Self-emp-not-inc,146576,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,>50K +21,Private,176690,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +81,Private,122651,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +54,Self-emp-inc,149650,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Canada,<=50K +34,Private,454508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,Iran,<=50K +54,Self-emp-not-inc,269068,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,50,Philippines,>50K +41,Private,266530,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +61,?,198542,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,133144,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,2580,0,20,United-States,<=50K +24,Private,217961,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,221661,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K +44,Local-gov,60735,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +47,Self-emp-not-inc,121124,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,48588,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,48087,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K +53,Self-emp-not-inc,240138,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +63,Private,273010,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3471,0,40,United-States,<=50K +44,Private,104196,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +37,Private,230035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +28,Private,38918,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Germany,>50K +71,?,205011,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +57,Private,176079,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,180052,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +33,Local-gov,173005,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1848,45,United-States,>50K +30,Private,378723,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K +20,Private,233624,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,192591,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +54,Private,249860,11th,7,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,10,United-States,<=50K +20,Private,247564,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,238912,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,190227,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +29,State-gov,293287,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,180807,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,250217,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,70,United-States,<=50K +19,Private,217418,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,38,United-States,<=50K +22,Local-gov,137510,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +59,State-gov,163047,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +18,Private,577521,11th,7,Never-married,Sales,Own-child,White,Male,0,0,13,United-States,<=50K +22,Private,221533,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,Local-gov,255675,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,114079,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,155781,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Private,243762,11th,7,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,113062,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,7,United-States,<=50K +67,Private,217028,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,110723,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +47,Federal-gov,191858,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,179423,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,5,United-States,<=50K +20,Private,339588,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Peru,<=50K +22,Private,206815,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K +47,State-gov,103743,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,235683,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +64,?,207321,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +35,State-gov,197495,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Federal-gov,424012,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,178469,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +73,Self-emp-inc,92886,10th,6,Widowed,Sales,Unmarried,White,Female,0,0,40,Canada,<=50K +38,Self-emp-not-inc,214008,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +59,Self-emp-not-inc,325732,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,52,United-States,>50K +35,Private,28572,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,35,United-States,<=50K +18,Private,118376,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +24,Private,51799,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +33,Local-gov,115488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,190621,Some-college,10,Divorced,Exec-managerial,Other-relative,Black,Female,0,0,55,United-States,<=50K +55,Private,193568,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,192878,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,264663,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +22,Private,234731,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,308373,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +45,Private,205644,HS-grad,9,Separated,Tech-support,Not-in-family,White,Female,0,0,26,United-States,<=50K +47,Local-gov,321851,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +56,Private,206399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,124563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +32,State-gov,198211,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +17,Private,130795,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,71269,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,319280,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K +35,Private,125933,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +27,Private,107236,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,32732,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +68,Private,284763,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +20,Private,112668,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,376483,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,402778,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +48,Private,36177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +45,Private,125489,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +48,Private,304791,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,209205,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +60,?,112821,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K +39,Local-gov,178100,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,70261,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +23,State-gov,186634,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,32958,Some-college,10,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +25,Private,254746,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +52,Private,158746,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,140854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,51506,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,189564,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K +37,Federal-gov,325538,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +58,Private,213975,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,431426,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,2,United-States,<=50K +48,Private,199763,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K +63,Private,161563,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +24,Local-gov,252024,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +43,Private,43945,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,178487,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +32,Private,604506,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,72,Mexico,<=50K +36,Private,228157,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +43,Private,199191,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,189775,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +17,Private,171080,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +45,Private,117310,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,46,United-States,<=50K +41,Self-emp-inc,82049,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,126094,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +18,?,202516,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +48,Local-gov,246392,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,?,69328,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +26,Private,292803,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +54,Private,286989,Preschool,1,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,190483,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,48,Iran,<=50K +19,Private,235849,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +47,Private,359766,7th-8th,4,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +32,Private,128016,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +46,Private,360096,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +30,Private,170154,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K +35,Private,337286,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +52,Private,204322,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K +73,Self-emp-not-inc,143833,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,18,United-States,<=50K +17,Private,365613,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,10,Canada,<=50K +32,Private,100135,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +43,Local-gov,180096,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,?,371827,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,Portugal,<=50K +26,Private,61270,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Columbia,<=50K +41,Federal-gov,564135,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,198759,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +52,State-gov,303462,Some-college,10,Separated,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,193106,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +57,Private,250201,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,United-States,<=50K +35,Private,200426,Assoc-voc,11,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +33,Private,222654,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,53366,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +42,Private,132222,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K +17,Private,100828,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +49,Private,31264,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Private,202027,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +34,Self-emp-not-inc,168906,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +37,Self-emp-not-inc,255454,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +22,Private,245524,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +27,Private,386040,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,35424,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +59,?,93655,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,152629,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3103,0,40,United-States,>50K +53,Self-emp-not-inc,151159,10th,6,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,99,United-States,<=50K +26,Private,410240,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,138970,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,269722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +34,Private,223678,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K +54,State-gov,197184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +36,Private,143486,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +60,Private,160625,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +50,Private,140516,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,85341,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,108293,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2205,40,United-States,<=50K +40,Self-emp-not-inc,192507,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,186932,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +65,Self-emp-not-inc,223580,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,6514,0,40,United-States,>50K +31,Private,236861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +46,Local-gov,327886,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +67,?,407618,9th,5,Divorced,?,Not-in-family,White,Female,2050,0,40,United-States,<=50K +62,Self-emp-inc,197060,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,229180,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,Cuba,<=50K +24,Private,284317,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +24,Private,73514,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K +27,Private,47907,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +43,State-gov,134782,Assoc-acdm,12,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +48,Private,118831,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K +41,Private,299505,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,267161,Some-college,10,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,45,United-States,<=50K +38,Private,119177,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +45,Private,327886,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +45,Private,187730,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,109015,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +46,Self-emp-not-inc,110015,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,Greece,<=50K +24,Private,104146,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +31,Local-gov,50442,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +35,Private,57640,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +37,Local-gov,333664,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,224858,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,290641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +60,?,191118,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1848,40,United-States,>50K +25,Private,34402,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,60,United-States,<=50K +33,Private,245378,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,179136,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,116788,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,129699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,39606,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K +44,Self-emp-inc,95150,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +63,Private,102479,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,199191,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +31,Private,229636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Mexico,<=50K +26,Private,53833,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K +37,Self-emp-inc,27997,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,?,124487,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,>50K +33,Private,111363,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,107630,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,134287,Assoc-voc,11,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +46,Self-emp-inc,283004,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,63,Thailand,<=50K +24,Private,33616,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +47,Local-gov,121124,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +27,Private,188189,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,106255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,282830,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +47,Private,243904,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Honduras,<=50K +69,Private,165017,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Male,2538,0,40,United-States,<=50K +32,Private,131584,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +51,Private,427781,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,334291,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Local-gov,173224,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,87507,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K +32,Private,187560,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K +27,Private,204497,10th,6,Divorced,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,75,United-States,<=50K +60,Private,230545,7th-8th,4,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,Cuba,<=50K +31,Private,118161,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,150499,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Local-gov,96554,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,288551,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,>50K +69,Self-emp-not-inc,104003,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +54,Self-emp-inc,124963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +56,Private,198388,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,126204,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,91709,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,Self-emp-not-inc,152109,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +24,Self-emp-not-inc,191954,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +63,Private,108097,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,10566,0,45,United-States,<=50K +29,Local-gov,289991,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,92115,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,320277,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,33610,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K +36,Private,168276,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,State-gov,175127,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,38,United-States,>50K +37,Private,254973,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,>50K +37,Private,95336,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +63,Private,346975,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,36,United-States,>50K +33,Private,227282,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,138153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +57,Local-gov,174132,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1977,40,United-States,>50K +31,Private,182237,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K +20,?,111252,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +58,Local-gov,217775,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +20,?,168863,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,394503,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,141657,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,125441,11th,7,Never-married,Other-service,Own-child,White,Male,1055,0,20,United-States,<=50K +26,Private,172230,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,282944,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +45,Local-gov,55377,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +35,State-gov,49352,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +32,Private,213887,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K +61,Self-emp-not-inc,24046,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +26,State-gov,208122,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +56,Private,176118,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +22,Private,227994,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,39,United-States,<=50K +49,Private,215389,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +40,Private,99434,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,United-States,<=50K +37,Private,190964,HS-grad,9,Separated,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +23,?,113700,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +28,Private,259840,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +27,Private,168827,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,28984,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,182211,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,82393,Some-college,10,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +28,Private,183639,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,21,United-States,<=50K +38,Private,342448,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,State-gov,469907,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1740,40,United-States,<=50K +28,Local-gov,211920,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,33658,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +41,Federal-gov,34178,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,400630,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +73,Self-emp-not-inc,161251,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,24,United-States,<=50K +21,Private,255685,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +38,Private,199256,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +64,?,143716,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +47,Private,221666,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,145409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,60,Canada,>50K +24,Private,39615,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,104440,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,151382,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Male,0,974,40,United-States,<=50K +61,Self-emp-not-inc,503675,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +58,Private,306233,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +51,Private,216475,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1564,43,United-States,>50K +49,Private,50748,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,England,<=50K +23,Private,107190,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +19,Private,206874,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,83141,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,53,United-States,<=50K +56,Private,444089,11th,7,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,141896,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,33487,Some-college,10,Divorced,Tech-support,Unmarried,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +41,Private,65372,Doctorate,16,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,>50K +30,Private,341346,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,343403,Doctorate,16,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,?,<=50K +47,Private,287480,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Self-emp-inc,107287,10th,6,Widowed,Exec-managerial,Unmarried,White,Female,0,2559,50,United-States,>50K +55,Private,199067,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,32,United-States,<=50K +22,?,182771,Assoc-voc,11,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +31,Private,159737,10th,6,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,110643,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,40,United-States,>50K +24,Private,117583,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,48,United-States,<=50K +49,Self-emp-not-inc,43479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,203003,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,Germany,<=50K +50,Private,133963,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +38,Private,227794,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Self-emp-not-inc,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K +49,Self-emp-not-inc,110457,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +45,Private,281565,HS-grad,9,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,50,South,<=50K +46,Federal-gov,297906,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +19,Private,151506,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +31,Federal-gov,139455,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Cuba,<=50K +38,Private,26987,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,233312,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +24,Private,161092,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +58,Local-gov,98361,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,188928,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,164922,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,185673,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,193598,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +56,Private,274111,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +32,Private,245482,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +56,Private,160932,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K +50,Private,44368,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,?,291374,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +30,Private,280927,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,222993,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +42,Federal-gov,25240,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,204052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,74054,11th,7,Never-married,Sales,Own-child,Other,Female,0,0,20,?,<=50K +46,Private,169042,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,25,Ecuador,<=50K +31,Private,104509,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,65,United-States,>50K +38,Local-gov,185394,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +44,Local-gov,254146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-inc,227856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +19,Private,183041,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,107682,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +50,Self-emp-inc,287598,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +53,Private,182186,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +41,Self-emp-inc,194636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,65,United-States,>50K +45,Private,112305,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,212661,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +37,Private,32709,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +42,Federal-gov,46366,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,24106,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K +46,Private,170850,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1590,40,?,<=50K +45,Self-emp-not-inc,40666,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,182975,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Private,345122,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +57,?,208311,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,>50K +37,Private,120045,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,56,United-States,<=50K +18,?,201299,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,152940,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Private,243580,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Private,182128,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,6497,0,50,United-States,<=50K +36,?,176458,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,28,United-States,<=50K +33,Private,101562,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,108699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,175878,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Female,0,0,40,United-States,<=50K +34,Local-gov,177675,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,>50K +33,Private,213887,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,357619,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,Germany,<=50K +23,Private,435835,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1669,55,United-States,<=50K +39,Private,165799,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,71469,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +19,Private,229745,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,284916,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +46,Private,28419,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,26950,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,6,United-States,<=50K +47,Self-emp-not-inc,107231,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +52,Local-gov,512103,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,245090,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +58,Private,314153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Private,243988,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +54,Self-emp-not-inc,82551,Assoc-voc,11,Married-civ-spouse,Tech-support,Other-relative,White,Female,0,0,10,United-States,<=50K +20,Private,42706,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K +25,Private,235795,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +25,Self-emp-not-inc,108001,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,15,United-States,<=50K +36,State-gov,112497,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,1876,44,United-States,<=50K +69,Self-emp-not-inc,128206,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,224634,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +20,Private,362999,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,346693,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,175759,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +21,Private,99199,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,32,United-States,<=50K +25,?,219987,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K +39,Private,143445,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +34,Private,118710,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,224185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,118972,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +29,Private,165360,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,38950,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,89,United-States,<=50K +42,Self-emp-inc,277256,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +29,Private,247151,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,213722,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,209955,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +41,Private,174395,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Private,138626,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,1876,50,United-States,<=50K +22,?,179973,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,200207,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,44,United-States,<=50K +19,Private,156587,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +24,Private,33016,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,197496,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K +32,Private,153588,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,99736,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,15020,0,50,United-States,>50K +36,Private,284166,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K +18,Private,716066,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,188519,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,109080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +52,Private,174421,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +24,Private,259351,Some-college,10,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +42,Federal-gov,284403,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,85319,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,60,United-States,>50K +20,?,201766,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +20,State-gov,340475,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +39,Private,487486,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Male,0,0,40,?,<=50K +68,?,484298,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +35,Private,170617,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K +54,Private,94055,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,117779,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,209770,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +20,Private,317443,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,15,United-States,<=50K +64,?,140237,Preschool,1,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,107411,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +36,Self-emp-not-inc,122493,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +44,Self-emp-inc,195124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,?,<=50K +38,Private,101978,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,2258,55,United-States,>50K +22,Private,335453,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +56,Private,318329,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,100321,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +24,Self-emp-not-inc,81145,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K +22,Private,62865,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,176262,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +42,Private,168103,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Local-gov,208174,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +19,Private,188815,HS-grad,9,Never-married,Other-service,Own-child,White,Female,34095,0,20,United-States,<=50K +67,Self-emp-not-inc,226092,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,<=50K +20,Private,212668,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,381583,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +46,Private,239439,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Private,172493,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K +44,Private,239876,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Male,0,0,40,United-States,<=50K +65,?,221881,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K +37,Local-gov,218184,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +27,Self-emp-not-inc,206889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,110668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,35,United-States,<=50K +30,Private,211028,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +64,Local-gov,202984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K +48,Private,20296,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,>50K +35,Private,194690,7th-8th,4,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,204984,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,Self-emp-not-inc,35021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,32,China,>50K +40,Self-emp-not-inc,238574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +33,Private,345360,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,192381,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +25,Private,479765,7th-8th,4,Never-married,Sales,Other-relative,White,Male,0,0,45,Guatemala,<=50K +45,Self-emp-inc,34091,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +30,Private,151773,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +53,Private,299080,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,Private,135339,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,2105,0,40,Vietnam,<=50K +27,Local-gov,52156,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,318647,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,80145,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +39,State-gov,343646,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,Mexico,>50K +42,Self-emp-not-inc,198692,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +19,Private,266635,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +31,Private,197672,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,185846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,315110,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +27,Private,220754,Doctorate,16,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,64292,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,126060,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +52,Private,78012,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,1762,40,United-States,<=50K +32,Private,210562,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,46,United-States,<=50K +23,Private,350181,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,233421,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +53,Private,167170,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,260801,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,173370,Bachelors,13,Separated,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +27,Private,135520,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Dominican-Republic,<=50K +30,Private,121308,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,444743,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,65225,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +58,State-gov,136982,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,Honduras,<=50K +45,State-gov,271962,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,204046,10th,6,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,225823,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,183009,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,1590,40,United-States,<=50K +50,Private,121038,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +26,Private,49092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,148709,HS-grad,9,Separated,Handlers-cleaners,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Private,209205,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +36,Local-gov,285865,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +22,Federal-gov,216129,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,40955,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,Japan,<=50K +54,Private,197189,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,33001,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +44,Private,227399,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,164050,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +49,Private,259087,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,236262,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +26,Private,177929,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +48,Private,166929,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,?,>50K +32,Private,199963,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +35,State-gov,98776,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,135056,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Self-emp-not-inc,55363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +42,State-gov,102343,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,72,India,>50K +30,Private,231263,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,226913,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +36,Private,129573,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +31,Private,191001,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Federal-gov,69345,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +38,Private,204556,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,192626,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +45,Private,202812,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,405177,10th,6,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,227890,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,>50K +33,Private,101352,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +49,Private,82572,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +28,Private,132686,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Local-gov,149210,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,40,United-States,>50K +27,Private,245661,HS-grad,9,Separated,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,483596,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2885,0,32,United-States,<=50K +42,State-gov,104663,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Italy,>50K +30,Private,347166,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Local-gov,108540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,333305,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K +51,Private,155408,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,Black,Female,0,0,38,United-States,<=50K +27,Federal-gov,246372,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,30290,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,347321,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,205852,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +40,Federal-gov,163215,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,?,<=50K +54,State-gov,93449,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +47,Self-emp-inc,116927,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +35,Private,164526,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Yugoslavia,>50K +33,Private,31573,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,125159,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,Haiti,<=50K +39,State-gov,201105,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +25,?,122745,HS-grad,9,Never-married,?,Own-child,White,Male,0,1602,40,United-States,<=50K +33,Private,150570,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,118941,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Ireland,<=50K +53,Private,141388,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +21,Private,174714,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +31,State-gov,75755,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K +63,Private,133144,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +21,Self-emp-not-inc,318865,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +59,Private,109638,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +50,Private,92969,1st-4th,2,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +66,?,376028,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +19,Private,144161,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +31,Private,183778,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,398904,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,170846,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +35,Local-gov,204277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,205152,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,225395,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,60,Mexico,<=50K +38,Private,33975,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,>50K +49,Private,147032,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,8,Philippines,<=50K +64,Private,174826,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Local-gov,232769,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +25,Private,36984,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,292264,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,303973,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,1602,15,Mexico,<=50K +23,Private,287988,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K +67,Self-emp-inc,330144,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +24,Private,191948,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +46,Private,324601,1st-4th,2,Separated,Machine-op-inspct,Own-child,White,Female,0,0,40,Guatemala,<=50K +38,State-gov,200289,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +20,Private,113307,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +28,?,194087,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +26,Private,155213,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +58,Private,175127,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,358461,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +37,State-gov,354929,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,38,United-States,<=50K +53,State-gov,104501,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +45,Private,112929,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,35,United-States,<=50K +33,Private,132832,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,State-gov,357691,Masters,14,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,114605,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +60,Self-emp-not-inc,525878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,68358,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,174571,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,<=50K +40,Private,42703,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,220589,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +44,Self-emp-not-inc,197558,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +27,Private,423250,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Self-emp-not-inc,29254,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +20,?,308924,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +49,Local-gov,276247,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,213841,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +52,Private,181677,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,>50K +46,Private,160061,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,285295,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,?,<=50K +43,Private,265266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,222115,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,99999,0,40,United-States,>50K +25,State-gov,194954,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +48,Private,156926,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,217414,Some-college,10,Divorced,Protective-serv,Unmarried,White,Male,0,0,55,United-States,<=50K +37,Private,538443,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,14344,0,40,United-States,>50K +18,?,192399,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +42,Private,383493,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +60,Private,193235,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,24,United-States,<=50K +37,Self-emp-inc,99452,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +44,Local-gov,254134,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,90446,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,116613,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Portugal,<=50K +42,Local-gov,238188,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +17,Private,95909,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +41,Private,82319,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K +34,Private,182274,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1887,40,United-States,>50K +56,Private,179625,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +28,Private,119793,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,254989,11th,7,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,104830,7th-8th,4,Never-married,Transport-moving,Unmarried,White,Male,0,0,25,Guatemala,<=50K +49,Federal-gov,110373,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,135416,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K +25,Private,298225,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +42,Private,166740,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,213668,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +26,Private,276624,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,226789,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,58,United-States,<=50K +37,Private,31023,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +39,Local-gov,116666,HS-grad,9,Never-married,Protective-serv,Own-child,Amer-Indian-Eskimo,Male,4650,0,48,United-States,<=50K +42,Private,136986,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +41,Private,179580,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,36,United-States,>50K +23,Private,103277,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +31,Federal-gov,351141,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,191161,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,57,United-States,>50K +20,Private,148709,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +36,Private,128382,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K +50,Private,144361,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +37,Private,172538,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,102476,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,27828,0,50,United-States,>50K +39,Private,46028,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,60,United-States,<=50K +32,Private,198452,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +59,Private,193895,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Private,233421,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,45,United-States,<=50K +50,Private,378747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +42,Private,31251,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,<=50K +32,Private,71540,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,194772,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +20,Private,34568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,35,United-States,<=50K +50,Self-emp-not-inc,36480,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +18,Private,116528,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +60,Private,52152,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,216690,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +42,Local-gov,227065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,22,United-States,<=50K +49,Private,84013,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +35,Self-emp-inc,82051,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,176185,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Iran,<=50K +59,Private,115414,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Self-emp-inc,493034,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,13550,0,50,United-States,>50K +55,Private,354923,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,393712,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,98941,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,141483,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,172479,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +21,Private,226145,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +23,Private,394612,Bachelors,13,Never-married,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,231085,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +55,Self-emp-not-inc,183810,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +19,Private,186159,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,162282,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +46,Private,219021,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,44,United-States,>50K +23,Private,273206,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,23,United-States,<=50K +47,Self-emp-inc,332355,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +23,Private,102729,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +42,Private,198096,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +22,State-gov,292933,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +18,Private,135924,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,99146,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +34,Private,27409,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,299507,Assoc-acdm,12,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,102631,Some-college,10,Widowed,Farming-fishing,Unmarried,White,Female,0,0,50,United-States,<=50K +51,Private,153486,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,434292,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K +28,Self-emp-not-inc,240172,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +56,Private,219426,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,295791,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,114032,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,45,United-States,>50K +23,Local-gov,496382,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,Guatemala,<=50K +33,Private,376483,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,30,United-States,<=50K +27,Private,107218,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +21,Private,246207,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +18,?,80564,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +36,Private,83089,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,Mexico,>50K +37,Local-gov,328301,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +39,Local-gov,301614,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,199739,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K +24,Private,180060,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,2354,0,40,United-States,<=50K +26,Private,121040,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,125550,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,170772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,180551,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,48189,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,30,United-States,<=50K +20,Private,432154,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,8,Mexico,<=50K +26,Private,263200,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +47,Private,123207,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +17,Private,110798,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,238481,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,<=50K +31,Private,185528,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +34,Private,181311,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,528616,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,272950,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +22,?,195532,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,197583,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,48612,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +54,Local-gov,31533,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +32,Federal-gov,148138,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2002,40,Iran,<=50K +29,Local-gov,30069,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,2635,0,40,United-States,<=50K +68,?,170182,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Local-gov,230885,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +54,Private,174102,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +23,Private,352606,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,241153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +54,Private,155433,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +21,Private,109414,Some-college,10,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,1974,40,United-States,<=50K +40,Private,125461,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,42,United-States,<=50K +19,Private,331556,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,138575,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,60,United-States,<=50K +35,Private,223514,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +39,Private,115418,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2174,0,45,United-States,<=50K +38,Private,193026,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,1408,40,?,<=50K +41,Private,147206,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +26,Private,174592,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,268620,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +70,Self-emp-not-inc,150886,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +45,Private,112362,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +83,Private,195507,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,0,55,United-States,<=50K +59,Private,192983,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,120544,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K +31,Private,59083,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,208277,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +24,Local-gov,184678,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,278736,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +48,Local-gov,39464,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,52,United-States,<=50K +27,Private,162343,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +41,Private,204046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,255647,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,Mexico,<=50K +53,Private,123011,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,>50K +66,Self-emp-not-inc,291362,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,159187,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,State-gov,126414,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,227626,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,173783,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +74,Private,211075,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,176756,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1485,70,United-States,>50K +35,Self-emp-not-inc,31095,Some-college,10,Separated,Farming-fishing,Not-in-family,White,Male,4101,0,60,United-States,<=50K +51,Self-emp-not-inc,32372,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,70,United-States,<=50K +40,Private,331651,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,146325,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +26,Private,515025,10th,6,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K +53,Private,394474,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +32,Private,400535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3781,0,40,United-States,<=50K +29,Self-emp-not-inc,337505,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +42,Private,211860,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,102684,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,32,United-States,<=50K +62,?,225657,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +33,Private,121966,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,396790,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,20,United-States,<=50K +46,Local-gov,149949,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +25,Private,252187,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,209934,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +29,Federal-gov,229300,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +33,Private,170769,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,99999,0,60,United-States,>50K +50,Private,200618,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,216984,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +40,Private,212760,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,150309,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +54,Private,174655,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,109621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,225124,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,172695,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,27,El-Salvador,<=50K +71,Self-emp-not-inc,238479,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +27,Private,37754,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +56,Private,85018,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,256466,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,>50K +23,Private,169188,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +36,Private,210945,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Local-gov,287031,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,224361,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,108464,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,75826,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,120277,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,104439,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,56870,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,200819,12th,8,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,170562,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K +30,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,33088,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,112763,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,7430,0,36,United-States,>50K +29,Private,177651,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Private,261943,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,169785,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Italy,<=50K +20,Private,141481,11th,7,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,50,United-States,<=50K +37,Private,433491,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +28,Local-gov,86615,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +39,Private,125550,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +46,State-gov,421223,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,26999,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +36,Self-emp-not-inc,241998,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,20,United-States,>50K +34,?,133861,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +44,Private,115323,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-inc,23778,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Self-emp-not-inc,190836,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +38,Self-emp-inc,159179,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +64,?,205479,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +19,?,47713,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,163237,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +61,Private,202202,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,168837,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,112271,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,52537,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,30,United-States,<=50K +27,Private,38353,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,141698,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,28856,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,175652,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,15,United-States,<=50K +36,Private,213008,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,196501,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K +63,Private,118798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +51,Private,92463,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,State-gov,125165,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,103980,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +40,?,180362,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,53903,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,179735,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +41,?,277390,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,>50K +49,Private,122177,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,80,United-States,<=50K +46,Private,188161,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,170108,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,175262,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Mexico,<=50K +19,?,204441,HS-grad,9,Never-married,?,Other-relative,Black,Male,0,0,20,United-States,<=50K +19,Private,164395,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +18,Private,115630,11th,7,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +39,Private,178815,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +60,Self-emp-not-inc,168223,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Local-gov,202560,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K +38,Private,100295,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,Canada,>50K +36,Private,172256,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +45,Private,51664,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +60,State-gov,358893,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,2339,40,United-States,<=50K +30,Private,115963,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,333910,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K +23,Private,148948,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +48,State-gov,130561,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,24,United-States,<=50K +46,Private,428350,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +43,Private,188808,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +25,Private,112847,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,Other,Male,0,0,40,United-States,<=50K +50,Private,110748,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Self-emp-inc,156653,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +35,Private,196491,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +65,Local-gov,254413,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,91262,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,<=50K +43,Self-emp-not-inc,154785,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,80,Thailand,<=50K +55,Private,84231,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,226327,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,248406,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,32,United-States,<=50K +35,Private,54317,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K +22,?,32732,Some-college,10,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +20,Private,95918,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,375675,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K +43,Private,244172,HS-grad,9,Separated,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K +46,Federal-gov,233555,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +39,Private,326342,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,2635,0,37,United-States,<=50K +34,Private,77271,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,20,England,<=50K +35,Private,33397,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,446358,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,41,United-States,<=50K +25,Private,151810,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,28,United-States,<=50K +44,Private,125461,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +35,Private,133906,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,155106,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,203637,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +32,Private,232766,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,305319,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,121023,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +29,Private,198997,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +38,Private,167140,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K +20,Private,38772,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +41,Private,253759,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,130067,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K +37,Private,203828,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,State-gov,221558,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,24,?,<=50K +31,Private,156464,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,72333,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +33,Local-gov,83671,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,50,United-States,<=50K +31,Private,339482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +19,Private,91928,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K +44,Private,99203,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,455995,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +62,Private,192515,HS-grad,9,Widowed,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,111483,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2174,10,United-States,>50K +17,Private,221129,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,85413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K +31,Private,196125,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,265638,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,177727,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +44,Private,205822,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Private,112607,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +40,Federal-gov,177595,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +18,Private,183315,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,10,United-States,<=50K +47,Private,116279,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,43,United-States,<=50K +38,Federal-gov,122493,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,4064,0,40,United-States,<=50K +37,Private,215419,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +40,Private,310101,Some-college,10,Separated,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,61885,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K +43,Private,59107,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,4101,0,40,United-States,<=50K +32,Private,227214,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,Ecuador,<=50K +64,Private,239450,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,118847,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Self-emp-not-inc,95226,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +17,?,659273,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,Trinadad&Tobago,<=50K +23,Private,215395,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,170600,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,91044,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +27,Private,318639,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,60,Mexico,<=50K +23,Private,160398,Some-college,10,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,216824,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +35,Private,308945,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,75,United-States,<=50K +47,Private,30840,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +33,Private,99309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,188576,Bachelors,13,Separated,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +46,Private,83064,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +24,Private,403865,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K +40,Private,235786,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +44,Private,191893,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +31,Local-gov,149184,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,97,United-States,>50K +37,Private,152909,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +23,Private,435604,Assoc-voc,11,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +30,Self-emp-inc,109282,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +31,Private,248178,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K +24,?,112683,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +32,Private,209103,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3464,0,40,United-States,<=50K +27,Private,183639,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +35,Local-gov,107233,HS-grad,9,Never-married,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K +27,Private,175387,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,40,United-States,<=50K +30,Self-emp-not-inc,178255,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,?,<=50K +33,Self-emp-not-inc,38223,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K +34,Private,228873,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +29,Private,202182,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Local-gov,425092,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,2174,0,40,United-States,<=50K +39,Self-emp-not-inc,152587,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,39089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K +51,Private,204304,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +40,Private,116103,Some-college,10,Separated,Craft-repair,Unmarried,White,Male,4934,0,47,United-States,>50K +53,Private,290640,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +58,Federal-gov,81973,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,1485,40,United-States,>50K +29,Private,134890,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +33,Private,452924,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K +57,Private,245193,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +69,State-gov,34339,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,184756,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +56,Private,392160,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,25,Mexico,<=50K +49,Private,168337,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,309513,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +70,Private,77219,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +44,Private,212888,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +37,Private,361888,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +58,Local-gov,237879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,<=50K +42,Self-emp-not-inc,93099,Some-college,10,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +41,Private,225193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,50814,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Local-gov,123681,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K +24,Private,249351,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,222311,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7688,0,55,United-States,>50K +18,Private,301762,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +50,Private,195298,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +69,Private,541737,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,2050,0,24,United-States,<=50K +84,Private,241065,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,United-States,<=50K +47,Private,129513,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,374262,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,382146,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,?,185291,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +53,Private,30447,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Private,49893,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,197387,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,24,Mexico,<=50K +36,Self-emp-not-inc,111957,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K +34,Private,340458,12th,8,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,185670,1st-4th,2,Widowed,Prof-specialty,Unmarried,White,Female,0,0,21,Mexico,<=50K +37,Private,210945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,24,United-States,<=50K +43,Private,350661,Prof-school,15,Separated,Tech-support,Not-in-family,White,Male,0,0,50,Columbia,>50K +42,Private,190543,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +21,Private,70261,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +49,Self-emp-not-inc,179048,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Greece,<=50K +35,Private,242094,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,117634,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,30,United-States,<=50K +28,Private,82531,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,193374,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +30,?,186420,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,323605,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,>50K +56,Private,371064,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,39927,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,8,United-States,<=50K +22,Private,64292,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +33,Private,198660,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,99999,0,56,United-States,>50K +54,?,196975,HS-grad,9,Divorced,?,Other-relative,White,Male,0,0,45,United-States,<=50K +22,Private,210165,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +68,Private,144137,Some-college,10,Divorced,Priv-house-serv,Other-relative,White,Female,0,0,30,United-States,<=50K +56,Local-gov,155657,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +23,?,72953,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,107548,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,163258,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,221324,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,444822,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,Mexico,<=50K +17,Private,154398,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,16,Haiti,<=50K +31,Private,120672,11th,7,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,1721,40,United-States,<=50K +50,Private,159650,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +62,Private,290754,10th,6,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,49654,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,52,United-States,<=50K +20,Federal-gov,147352,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,227943,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +18,Private,423024,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +53,?,64322,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,445940,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +23,Private,230824,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,48882,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +47,Private,168195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +53,Local-gov,188644,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +28,Private,136077,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,State-gov,119793,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,336513,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +58,Private,186991,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,?,218948,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,32,Mexico,<=50K +26,Private,211435,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,280169,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,3456,0,8,United-States,<=50K +27,Private,109997,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,286789,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +25,Private,102460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,287160,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +39,Private,198097,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Private,119111,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,174461,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Self-emp-not-inc,281678,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +24,?,377725,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,151053,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +49,Local-gov,186539,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +20,?,149478,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K +40,Private,198452,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,198863,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,60,United-States,>50K +33,Private,176711,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,165310,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,White,Male,0,0,20,United-States,<=50K +37,Private,213008,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Japan,<=50K +21,State-gov,38251,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,125761,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,36,United-States,<=50K +28,Private,148645,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,273435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +43,Private,208613,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,192565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,183885,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +47,Self-emp-not-inc,243631,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +37,Private,191754,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +26,Private,261278,Some-college,10,Separated,Sales,Other-relative,Black,Male,0,0,30,United-States,<=50K +55,Private,127014,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,197919,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,217460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,86551,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,98051,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,>50K +38,Private,215917,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +53,Self-emp-not-inc,192982,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,United-States,<=50K +27,Self-emp-not-inc,334132,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,78,United-States,<=50K +42,Private,136986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +62,Private,116812,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,189123,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,58,United-States,<=50K +26,Private,89648,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,?,190027,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +59,Private,99248,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,57600,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +25,Private,199224,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +58,Private,140363,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,36,United-States,<=50K +30,Private,308812,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +21,Private,275421,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,213321,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,157747,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,182314,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +70,Private,220589,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K +55,?,208640,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +29,Self-emp-not-inc,189346,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,2202,0,50,United-States,<=50K +46,Private,124071,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,<=50K +35,Federal-gov,20469,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +31,Private,154227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +37,Private,105044,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +43,Private,35910,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K +23,Private,189203,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,116493,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,13550,0,44,United-States,>50K +42,Local-gov,19700,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +26,Private,48718,10th,6,Never-married,Adm-clerical,Not-in-family,White,Female,2907,0,40,United-States,<=50K +45,Private,106113,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,256263,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,?,202498,7th-8th,4,Separated,?,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +38,Private,120074,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +28,Private,122922,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +68,Self-emp-not-inc,116903,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2149,40,United-States,<=50K +42,Local-gov,222596,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,107302,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,India,<=50K +36,Private,156400,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,53373,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +22,Private,58916,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +45,Local-gov,167159,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,>50K +24,Private,283806,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,140426,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,?,<=50K +36,Local-gov,61778,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +41,Private,33310,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,202560,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +25,Self-emp-not-inc,60828,Some-college,10,Never-married,Farming-fishing,Own-child,White,Female,0,0,50,United-States,<=50K +53,State-gov,153486,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +28,Local-gov,167536,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +30,Local-gov,370990,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,198867,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,174924,Some-college,10,Divorced,Protective-serv,Unmarried,White,Male,0,0,48,Germany,<=50K +30,Private,175856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +41,Private,169628,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,40,?,<=50K +29,?,125159,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,36,?,<=50K +31,Private,220690,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K +36,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,55,United-States,<=50K +59,Self-emp-not-inc,116878,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Greece,<=50K +33,Self-emp-not-inc,134737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,81648,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +49,State-gov,122177,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +50,Federal-gov,69614,10th,6,Separated,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K +33,Private,112115,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +28,Private,299422,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +81,?,162882,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,112854,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K +32,Self-emp-not-inc,33417,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +47,Federal-gov,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +44,?,468706,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +24,Private,357028,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Local-gov,51158,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,7298,0,36,United-States,>50K +51,Private,186303,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +52,Private,127749,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,291386,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,138054,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Other,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,174533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,200835,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,108658,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Private,180985,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +25,Private,34803,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +59,Private,75867,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,156819,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Private,61272,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Portugal,<=50K +24,Private,39827,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Puerto-Rico,<=50K +38,Private,130007,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,80324,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +26,Private,322614,Preschool,1,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,1719,40,Mexico,<=50K +30,Private,140869,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +73,Local-gov,181902,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,Poland,>50K +30,Private,287908,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,309630,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,28225,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,58,United-States,<=50K +40,?,428584,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,3464,0,20,United-States,<=50K +18,Private,39222,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,359131,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,8,?,>50K +22,Private,122272,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,198400,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,<=50K +62,?,73091,7th-8th,4,Widowed,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,283338,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +22,Private,208946,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,348416,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,379046,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +29,Private,183887,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,127961,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +24,Private,211129,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +29,Local-gov,187649,HS-grad,9,Separated,Protective-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +49,Federal-gov,94754,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +33,Private,231826,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +28,Private,142764,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +22,Private,126822,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,60,United-States,<=50K +37,Private,188069,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,284395,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,31267,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,161444,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Columbia,<=50K +25,Private,144483,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,133655,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,State-gov,112074,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +21,Private,249727,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K +18,Private,165754,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +30,Local-gov,172822,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,288433,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +40,Private,33331,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,168071,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,<=50K +45,Private,207277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +29,Private,130620,Some-college,10,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,26,India,<=50K +40,Private,136244,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,972354,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K +20,Private,245297,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,State-gov,71151,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K +19,Private,118352,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +21,Private,117210,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,120068,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,48343,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,84451,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +51,?,76437,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,281704,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +54,Private,123011,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +50,Private,104729,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,48,United-States,<=50K +29,Private,110134,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,186067,10th,6,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K +47,Private,214702,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,37,Puerto-Rico,<=50K +46,Private,384795,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,32,United-States,<=50K +30,Private,175931,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K +58,Private,366324,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +48,Private,118717,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,Private,219835,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Mexico,<=50K +23,Private,176486,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K +45,Private,273435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,182661,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,20,United-States,<=50K +26,Private,212304,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +50,Local-gov,133963,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K +49,Private,165152,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +26,Private,274724,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,40,Nicaragua,<=50K +47,Private,196707,Prof-school,15,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,213002,12th,8,Never-married,Sales,Not-in-family,White,Male,4650,0,50,United-States,<=50K +19,?,26620,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,361481,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +35,Private,148581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +46,Private,459189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,>50K +28,Self-emp-not-inc,214689,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,289364,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +21,Private,174907,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,348099,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,?,104965,9th,5,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +31,Private,31600,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,286282,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +35,Self-emp-not-inc,181705,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +33,Private,238912,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +34,Private,134737,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +67,?,157403,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,6418,0,10,United-States,>50K +37,Private,197429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K +48,Private,47343,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,Federal-gov,67083,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,1471,0,40,Cambodia,<=50K +24,Private,249957,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,175942,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,France,<=50K +50,Private,192982,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,40,United-States,>50K +40,Private,209547,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K +33,Private,142675,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +51,Federal-gov,190333,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,196396,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,166740,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,174533,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,210867,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,?,<=50K +37,Private,118486,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,4934,0,32,United-States,>50K +40,Private,144067,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,106964,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,178136,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,196554,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K +40,Self-emp-not-inc,403550,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,498216,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,192755,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,20,United-States,>50K +20,?,53738,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +33,Private,156192,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +45,Private,189802,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,?,213149,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,1825,40,United-States,>50K +35,Self-emp-not-inc,179171,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,38,Germany,<=50K +32,Private,77634,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,189830,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K +19,Private,127190,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +44,?,174147,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,138107,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,35,United-States,<=50K +44,Self-emp-inc,269733,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +41,State-gov,227734,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,40,United-States,<=50K +19,Private,318822,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Private,48885,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Private,205424,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +40,Private,173858,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,42,Cambodia,<=50K +34,Private,202450,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +20,Private,154779,Some-college,10,Never-married,Sales,Other-relative,Other,Female,0,0,40,United-States,<=50K +33,Private,180551,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,177522,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,277328,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,Cuba,<=50K +34,Private,112584,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +48,State-gov,85384,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,?,123971,11th,7,Divorced,?,Not-in-family,White,Female,0,0,49,United-States,<=50K +42,Private,69019,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +22,Private,112847,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,52900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +42,Private,37937,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +45,Private,59380,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +47,Private,114770,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +29,Private,216481,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +34,Private,176469,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +34,Private,176831,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +39,Federal-gov,410034,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,93662,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,United-States,<=50K +42,Self-emp-inc,144236,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +48,Private,240917,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +53,Private,608184,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K +51,Private,243361,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +44,Self-emp-not-inc,35166,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,90,United-States,<=50K +46,Self-emp-inc,182655,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Private,142717,Doctorate,16,Divorced,Craft-repair,Not-in-family,White,Female,4787,0,60,United-States,>50K +32,Private,272944,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,?,219233,HS-grad,9,Never-married,?,Own-child,Black,Male,0,1602,30,United-States,<=50K +24,Private,228686,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,236818,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,26,United-States,<=50K +47,Self-emp-not-inc,117865,HS-grad,9,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K +64,Self-emp-not-inc,106538,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,153891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,190909,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,191002,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,Poland,<=50K +42,Private,89073,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +38,Federal-gov,238342,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,42,United-States,>50K +55,Private,259532,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +29,?,189282,HS-grad,9,Married-civ-spouse,?,Not-in-family,White,Female,0,0,27,United-States,<=50K +42,Private,132481,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,24,United-States,<=50K +30,Private,205659,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,Thailand,>50K +32,Private,182323,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,?,216256,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3464,0,30,United-States,<=50K +50,Federal-gov,166419,11th,7,Never-married,Sales,Not-in-family,Black,Female,3674,0,40,United-States,<=50K +27,Private,152246,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +47,Private,155659,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,155198,9th,5,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +48,Self-emp-not-inc,100931,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,162945,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +31,Federal-gov,334346,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,181597,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,133969,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,63,South,<=50K +50,Private,210217,Bachelors,13,Divorced,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K +49,Private,169711,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K +57,?,300104,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,7298,0,84,United-States,>50K +19,Private,271521,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,24,United-States,<=50K +18,Private,51255,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +44,Self-emp-not-inc,26669,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K +54,Private,194580,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,State-gov,177974,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +27,State-gov,315640,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,China,<=50K +50,Self-emp-inc,136913,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +43,State-gov,230961,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,167062,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,120131,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K +30,Private,171876,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +19,Private,136866,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +40,Private,316820,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1485,40,United-States,<=50K +55,Private,185459,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +67,?,81761,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,43716,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,43,United-States,<=50K +30,Private,220939,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,?,148657,Preschool,1,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +51,Federal-gov,40808,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,43,United-States,<=50K +34,Private,183473,HS-grad,9,Divorced,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,108496,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +50,Private,204838,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +29,Private,132686,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +17,State-gov,117906,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,304386,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +52,?,248113,Preschool,1,Married-spouse-absent,?,Other-relative,White,Male,0,0,40,Mexico,<=50K +39,Private,165215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,18,United-States,>50K +18,?,215463,12th,8,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,259719,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Male,0,0,40,Nicaragua,<=50K +25,?,35829,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,50,United-States,<=50K +34,Private,248795,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K +44,Self-emp-not-inc,124692,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +37,Local-gov,128054,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,179731,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,65,United-States,>50K +32,Self-emp-inc,113543,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,252153,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +45,Federal-gov,45891,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,42,United-States,<=50K +30,Private,112263,11th,7,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,47791,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +41,Private,202980,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,Peru,<=50K +21,Private,34918,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +48,Private,91251,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K +31,Private,132996,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,45,United-States,>50K +34,Private,306215,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Private,203570,HS-grad,9,Separated,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,355918,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +35,Self-emp-not-inc,198841,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +42,Private,282964,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,312197,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,Mexico,>50K +44,Private,98779,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,60,United-States,<=50K +32,Private,200246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,182771,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +23,Private,199908,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,172104,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,40,India,>50K +53,Self-emp-not-inc,35295,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K +27,Private,216858,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K +27,Private,332187,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K +57,Private,255109,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +17,Private,111332,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +59,Local-gov,238431,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +34,Private,131552,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,110239,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +31,State-gov,255830,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,45,United-States,<=50K +18,?,175648,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,82998,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,164320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +20,Self-emp-not-inc,263498,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,162381,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Local-gov,229651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,357348,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +19,Private,269657,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Local-gov,82880,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,<=50K +19,Private,389755,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +34,Private,195136,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K +41,Private,207685,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,?,<=50K +23,Private,222925,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,2105,0,40,United-States,<=50K +24,?,196388,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,12,United-States,<=50K +24,Private,50341,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,214134,10th,6,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K +45,Private,114032,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +45,Private,192053,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +48,Private,240231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K +42,Private,44402,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +35,Self-emp-not-inc,191503,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,163530,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +51,Local-gov,136823,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,<=50K +59,Private,121912,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Local-gov,58624,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Local-gov,74056,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,144259,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,4386,0,80,?,>50K +57,Private,182028,Assoc-acdm,12,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +40,Private,209040,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,206046,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,182494,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,185057,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,Scotland,<=50K +60,Private,147473,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +53,Local-gov,221722,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14344,0,50,United-States,>50K +20,?,388811,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,221912,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,48189,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +29,State-gov,382272,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,48347,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,143046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,38,United-States,>50K +63,Self-emp-inc,137940,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +28,Private,249571,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +79,Private,121318,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +39,Private,224531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +29,Private,185019,12th,8,Never-married,Other-service,Not-in-family,Other,Male,0,0,40,United-States,<=50K +60,Private,27886,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,94741,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K +20,Private,107801,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,2205,18,United-States,<=50K +44,Private,191256,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +47,Private,256866,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +59,Private,197148,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,>50K +37,Private,312271,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K +21,Private,118657,HS-grad,9,Separated,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +68,Private,224338,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,242488,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K +23,?,234970,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,227915,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,33,United-States,<=50K +40,Local-gov,105717,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,1876,35,United-States,<=50K +45,Self-emp-not-inc,160962,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +34,?,353881,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,3103,0,60,United-States,>50K +22,Private,188950,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,201328,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,218678,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,49,United-States,<=50K +23,Private,184255,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,200968,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,45,United-States,>50K +26,Private,102264,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,300584,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,208946,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +36,Private,105021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +20,Private,124751,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,274057,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,8,United-States,<=50K +38,Private,132879,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-inc,260960,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K +56,Private,208415,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,?,<=50K +42,Private,356934,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,154410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,35378,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +73,Private,301210,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1735,20,United-States,<=50K +32,Private,73621,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +37,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +66,Private,217198,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,10,United-States,<=50K +22,Private,157332,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +51,Private,202956,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,173495,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +65,Private,149811,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,2206,59,Canada,<=50K +39,Private,444219,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,45,United-States,<=50K +48,Private,125120,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +20,Private,190429,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,190303,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +48,Private,248164,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,>50K +29,Federal-gov,208534,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K +36,Self-emp-not-inc,343721,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,?,>50K +35,Self-emp-inc,196373,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Private,433788,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +48,State-gov,122086,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,137314,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Self-emp-not-inc,33068,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,210688,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +26,Local-gov,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,35,United-States,<=50K +37,State-gov,103474,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +65,Private,115880,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Self-emp-not-inc,233933,10th,6,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +42,Private,52781,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,586657,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Japan,>50K +62,Private,113080,7th-8th,4,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,251905,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +76,Self-emp-not-inc,225964,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,8,United-States,<=50K +20,?,194096,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,263831,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,133136,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +32,Private,121634,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +22,Self-emp-inc,40767,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Federal-gov,355789,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,50,United-States,<=50K +43,Local-gov,311914,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,91189,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +44,Federal-gov,344060,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,113823,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,State-gov,185800,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,7430,0,40,United-States,>50K +30,Private,76107,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,>50K +23,Private,117618,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +39,Private,238008,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,136480,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +50,Private,285200,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,35,United-States,>50K +19,Private,351040,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K +35,Private,1226583,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +23,Private,195767,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,187540,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,79372,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,226665,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,42,United-States,>50K +52,Private,213209,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Private,211005,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,60,United-States,<=50K +24,Private,96178,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,328216,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +39,Private,110713,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +45,Self-emp-not-inc,225456,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Local-gov,159908,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1258,38,United-States,<=50K +43,Private,118308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +45,Private,180309,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,39630,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,273828,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +56,Private,172071,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +28,Private,218887,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Female,0,0,35,United-States,<=50K +23,Private,664670,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +43,Private,209149,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +26,Private,84619,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,447346,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +55,Local-gov,37869,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +48,State-gov,99086,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Private,143582,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,2129,72,?,<=50K +38,Private,326886,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +18,Private,181755,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +56,Self-emp-not-inc,249368,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K +39,Self-emp-not-inc,326400,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,504725,5th-6th,3,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,50,Mexico,<=50K +36,Private,88967,11th,7,Never-married,Transport-moving,Unmarried,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K +42,Self-emp-not-inc,170721,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K +50,Private,148953,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +17,Private,342752,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +57,Private,220871,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +73,Private,29675,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,12,United-States,<=50K +50,Federal-gov,183611,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,115215,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +27,Private,152231,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +24,?,41356,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,225142,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,121313,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,134821,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,311350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,102106,10th,6,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +47,Private,427055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,Mexico,<=50K +40,Private,117860,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Private,285885,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,212800,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,194864,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,18,United-States,<=50K +36,Private,31438,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,43,United-States,<=50K +46,Private,148254,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +69,Private,113035,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,4,United-States,<=50K +69,Private,106595,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,1848,0,40,United-States,<=50K +28,Private,144521,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +20,Private,172232,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,48,United-States,<=50K +54,State-gov,123592,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,3887,0,35,United-States,<=50K +25,Private,191921,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +64,Local-gov,237379,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3471,0,40,United-States,<=50K +17,Private,208463,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Federal-gov,68985,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,22418,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +57,Private,163047,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,<=50K +51,Private,153870,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2603,40,United-States,<=50K +20,?,124954,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,197702,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,166415,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,52,United-States,<=50K +50,State-gov,116211,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K +20,Private,33644,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +43,State-gov,33331,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K +46,Private,73019,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,169182,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,Puerto-Rico,<=50K +53,Private,20438,Some-college,10,Separated,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K +21,Private,109869,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +58,Private,316849,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,208043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +61,Private,153790,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +56,State-gov,153451,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +59,Private,96840,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +72,Private,192732,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +33,Private,209101,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,146919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +46,Local-gov,192323,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K +48,Private,217019,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,28,United-States,<=50K +33,Private,198211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,222490,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,106758,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +31,Private,561334,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,203710,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Local-gov,203322,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +51,Private,123703,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +46,State-gov,312015,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,209428,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,El-Salvador,<=50K +61,Private,230292,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +17,Private,114420,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +26,Private,120238,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +35,Private,100375,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +33,Self-emp-not-inc,42485,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +37,Private,130620,12th,8,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,33,?,<=50K +39,Local-gov,134367,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +42,Private,147099,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +35,Private,36214,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,47,United-States,>50K +45,Private,119904,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,>50K +47,Self-emp-inc,105779,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K +64,Private,165020,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +39,Private,187098,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,47,United-States,>50K +43,?,142030,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,241360,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +62,Private,121319,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +53,Private,151580,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +31,Private,162572,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,35917,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,35723,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +43,Private,194773,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,62155,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,35,United-States,<=50K +45,Self-emp-not-inc,192203,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +46,Private,174370,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +26,Private,161007,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,<=50K +24,Private,270517,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +43,Private,163847,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +40,Private,193882,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,160037,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Federal-gov,189944,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,72,United-States,<=50K +85,Private,115364,HS-grad,9,Widowed,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K +41,Private,163174,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,State-gov,188900,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,3325,0,35,United-States,<=50K +22,Private,214399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +60,Private,156616,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,204862,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +34,?,55921,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,State-gov,172475,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,2977,0,45,United-States,<=50K +24,Private,153082,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +45,Local-gov,195418,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,Local-gov,276840,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +30,Private,97933,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Wife,White,Female,0,1485,37,United-States,>50K +50,Self-emp-inc,119099,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K +41,Self-emp-not-inc,83411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,198992,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +45,Private,337825,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,192002,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,189346,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,231962,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,164488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,50,United-States,>50K +48,Private,200471,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +69,Private,228921,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Male,0,2282,40,United-States,>50K +41,Private,184846,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,233851,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,499001,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K +65,Local-gov,125768,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,28,United-States,<=50K +31,Private,255004,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1741,38,United-States,<=50K +28,Private,157624,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,146767,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,Private,118291,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,80,United-States,<=50K +43,Private,313181,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Male,0,0,38,United-States,<=50K +31,Private,87891,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,226443,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +45,Private,81132,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +20,Private,216436,Bachelors,13,Never-married,Sales,Other-relative,Black,Female,0,0,30,United-States,<=50K +25,Private,213412,Bachelors,13,Never-married,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,179358,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,30,United-States,<=50K +31,Private,369825,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,4101,0,50,United-States,<=50K +56,Private,199763,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +26,Private,239390,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K +47,Self-emp-not-inc,173613,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,65,United-States,<=50K +40,Self-emp-inc,37869,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,302845,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,48,United-States,<=50K +34,State-gov,85218,Masters,14,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,24,United-States,<=50K +37,Private,48268,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +38,Private,173968,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,70982,Assoc-voc,11,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,16,United-States,<=50K +49,Private,166857,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,?,256191,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K +26,Private,162872,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +82,Private,152148,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,2,United-States,<=50K +40,Private,139193,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,791084,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +23,Private,137214,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,37,United-States,<=50K +19,Private,183258,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +67,Private,154035,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,Black,Male,0,0,32,United-States,<=50K +43,Private,115323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +41,Private,213055,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,50,United-States,<=50K +37,Private,155064,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,33551,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,169995,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,168262,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,99999,0,50,United-States,>50K +40,Private,104196,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +39,State-gov,114055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,274398,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +78,?,27979,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2228,0,32,United-States,<=50K +67,?,244122,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,1,United-States,<=50K +49,Private,196571,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +66,Private,101607,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K +52,Private,122109,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,323,40,United-States,<=50K +59,Self-emp-inc,255822,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +72,Private,195184,HS-grad,9,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,12,Cuba,<=50K +35,Federal-gov,245372,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,169583,Bachelors,13,Married-AF-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +36,Private,224531,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,186151,HS-grad,9,Separated,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,118693,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Private,297449,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,125206,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,393264,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,108140,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +63,Private,264968,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,318106,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,156025,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,State-gov,149455,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,359985,5th-6th,3,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,33,Mexico,<=50K +44,State-gov,165108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,115178,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +21,Private,149224,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +41,Local-gov,352056,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,174717,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +75,?,173064,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +29,Private,147755,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +52,Self-emp-not-inc,135716,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +47,Private,44216,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +28,Private,37359,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +24,Private,178255,Some-college,10,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,?,<=50K +30,State-gov,70617,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,10,China,<=50K +30,Private,154950,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +40,Private,356934,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +27,Private,271714,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +26,Private,247025,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,44,United-States,<=50K +32,Private,107417,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +36,State-gov,116554,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,917220,12th,8,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Private,430084,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,202937,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,Poland,<=50K +27,Private,62737,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,508548,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +38,Self-emp-inc,275223,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +35,Self-emp-not-inc,381931,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,246974,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,105431,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Private,146311,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,159869,Doctorate,16,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,204641,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,66297,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +38,Private,227615,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +66,?,107744,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,360393,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +19,Private,263340,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +18,Private,141918,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,22,United-States,<=50K +37,Private,294292,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,128736,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Local-gov,511289,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +27,Private,302406,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +34,Local-gov,101517,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +54,State-gov,161334,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K +24,Self-emp-inc,189148,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,103111,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Self-emp-not-inc,51620,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,31606,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,34292,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,38,United-States,<=50K +21,Private,107882,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,9,United-States,<=50K +18,Private,39529,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +18,Private,135315,9th,5,Never-married,Sales,Own-child,Other,Female,0,0,32,United-States,<=50K +29,Private,107812,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,229729,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,111891,HS-grad,9,Separated,Machine-op-inspct,Other-relative,Black,Female,0,0,40,United-States,<=50K +32,Private,340917,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,202952,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,24,United-States,<=50K +79,Private,333230,HS-grad,9,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,6,United-States,<=50K +34,Private,114955,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,159869,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,57758,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +29,Private,207064,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,193090,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,3674,0,40,United-States,<=50K +64,Private,151364,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,Local-gov,88638,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,7896,0,50,United-States,>50K +28,Local-gov,304960,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K +51,Private,102828,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Greece,<=50K +20,?,210029,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +34,State-gov,154246,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,4865,0,55,United-States,<=50K +29,Private,142519,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,104455,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +77,Self-emp-inc,192230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,292592,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,330132,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +22,Private,51111,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Local-gov,258037,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,>50K +42,Local-gov,188291,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K +35,State-gov,349066,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +62,?,191188,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,133503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,2635,0,16,United-States,<=50K +45,Private,146497,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +19,Private,240468,Some-college,10,Married-spouse-absent,Sales,Own-child,White,Female,0,1602,40,United-States,<=50K +38,Private,175120,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,416577,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,45,United-States,<=50K +29,Private,253814,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,159247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,102471,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,80,Puerto-Rico,<=50K +42,Private,213464,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,211968,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +43,Federal-gov,32016,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +69,Private,512992,11th,7,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,45,United-States,<=50K +39,Private,135020,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,109133,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K +28,Private,142712,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Federal-gov,76900,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,112176,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +43,Federal-gov,262233,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +49,Private,122066,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,Hungary,<=50K +28,Private,194690,7th-8th,4,Separated,Other-service,Own-child,White,Male,0,0,60,Mexico,<=50K +35,Private,306678,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K +19,?,217769,Some-college,10,Never-married,?,Own-child,White,Female,594,0,10,United-States,<=50K +35,Local-gov,308945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +57,Private,46699,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,377757,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,220993,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1590,48,United-States,<=50K +45,Private,102147,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,113770,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,139012,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +45,Private,148900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Federal-gov,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Self-emp-inc,181408,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +44,Local-gov,101950,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,32537,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +41,Private,209547,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,202373,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +29,Self-emp-not-inc,151476,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,2174,0,40,United-States,<=50K +51,Self-emp-not-inc,174824,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,8614,0,40,United-States,>50K +22,Private,138768,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,143482,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,200190,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K +38,Private,168407,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,5721,0,44,United-States,<=50K +23,Private,148315,Some-college,10,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,270517,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +40,Private,53506,Bachelors,13,Divorced,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,105693,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,189589,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,164574,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,185744,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,United-States,<=50K +40,Local-gov,33155,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,215955,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +38,Self-emp-not-inc,233571,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,211253,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Federal-gov,191385,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Male,2174,0,40,United-States,<=50K +20,Private,137895,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +62,State-gov,159699,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +31,Private,295922,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,175856,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,216129,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +62,Local-gov,407669,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +43,Local-gov,214242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,285457,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +30,Self-emp-inc,124420,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,40,United-States,<=50K +22,?,246386,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,142751,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Local-gov,283635,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,322931,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,>50K +49,Private,76482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,State-gov,431745,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,141944,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +32,Private,193042,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +33,Private,67006,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K +23,Private,240398,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,15,United-States,<=50K +33,Federal-gov,182714,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K +50,Federal-gov,172046,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,185177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,<=50K +32,Private,102858,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,42,United-States,<=50K +39,Private,84954,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,2829,0,65,United-States,<=50K +21,Private,115895,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,184589,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,21,United-States,<=50K +32,Private,282611,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,218649,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,157541,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,United-States,<=50K +70,Private,145419,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K +34,Private,122616,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,>50K +53,Private,204584,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,117210,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +37,Private,69481,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,148492,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,>50K +23,Private,106957,11th,7,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,14344,0,40,Vietnam,>50K +32,Private,29312,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K +57,Private,120302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +65,?,111916,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,182227,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +30,Private,219110,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +31,Private,200192,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +19,Private,427862,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +23,State-gov,33551,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K +44,Private,164043,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +43,?,116632,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K +42,Private,175133,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,289731,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,256362,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,282612,Assoc-voc,11,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,73679,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,237824,HS-grad,9,Married-spouse-absent,Priv-house-serv,Other-relative,Black,Female,0,0,60,Jamaica,<=50K +36,Local-gov,357720,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,155489,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,Poland,<=50K +44,Private,138077,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +42,Private,183479,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,103596,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,99,United-States,<=50K +33,Private,172304,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,313853,Bachelors,13,Divorced,Other-service,Unmarried,Black,Male,0,0,45,United-States,>50K +17,Private,294485,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +20,Private,637080,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +32,Private,385959,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,116539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,129263,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K +60,Private,141253,10th,6,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,48,United-States,<=50K +35,State-gov,35626,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K +43,Federal-gov,94937,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,220269,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,169544,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K +36,Private,214604,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K +27,Private,81540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +50,Private,24013,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,>50K +22,Private,124940,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,44,United-States,<=50K +33,State-gov,313729,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +61,Private,192237,10th,6,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +28,?,168524,Assoc-voc,11,Married-civ-spouse,?,Own-child,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,113324,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +22,Private,215477,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,199903,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,431861,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,105938,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,1602,20,United-States,<=50K +28,Private,274679,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,177499,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,1590,35,United-States,<=50K +28,Private,206125,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,221740,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +58,Private,202652,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +39,Private,348960,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,171876,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,157932,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Private,201344,Bachelors,13,Divorced,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,354739,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,36,Philippines,>50K +34,Private,40067,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,326862,Some-college,10,Divorced,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +48,Local-gov,189762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +65,?,149049,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,226246,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +80,?,29020,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,10605,0,10,United-States,>50K +23,Private,38251,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,196385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K +38,Self-emp-not-inc,217054,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,104973,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,238959,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,9562,0,40,United-States,>50K +40,State-gov,34218,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Local-gov,292962,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Female,0,0,40,United-States,<=50K +45,Private,235924,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,98656,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,Private,102610,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,80,United-States,<=50K +32,Local-gov,296466,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +33,Private,323069,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,184756,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,233993,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +22,Private,130724,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +52,Self-emp-inc,181855,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,99999,0,65,United-States,>50K +67,Self-emp-not-inc,127543,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,2414,0,80,United-States,<=50K +40,Private,187164,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,45,United-States,<=50K +55,Private,113912,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K +29,Private,216479,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,135480,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K +22,Private,204160,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +64,State-gov,114650,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,240172,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K +28,Private,184831,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,124590,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +47,State-gov,120429,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +26,Private,202033,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +18,Private,156874,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,27,United-States,<=50K +52,Self-emp-inc,177727,10th,6,Married-civ-spouse,Sales,Husband,White,Male,4064,0,45,United-States,<=50K +48,Local-gov,334409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +36,Private,311255,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Haiti,<=50K +23,Private,214227,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Private,115849,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,State-gov,671292,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K +53,Private,31460,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,141824,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,310152,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,3325,0,40,United-States,<=50K +25,Private,179953,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,2597,0,31,United-States,<=50K +31,Private,137952,Some-college,10,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +36,Private,103323,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K +46,Private,174426,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,State-gov,192779,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Male,0,2258,38,United-States,>50K +32,Private,169955,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,Puerto-Rico,<=50K +43,Self-emp-not-inc,48087,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +30,Private,132601,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +41,Self-emp-inc,253060,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K +50,Private,108435,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,60,United-States,>50K +37,State-gov,210452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +22,Local-gov,134181,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,50,United-States,<=50K +51,Federal-gov,45487,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K +47,Private,183522,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +40,Private,199303,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,83064,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,?,134997,Some-college,10,Separated,?,Unmarried,White,Female,0,0,20,United-States,<=50K +30,Private,44419,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,442612,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +31,Local-gov,158092,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +31,Private,374833,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,112650,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,183390,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +27,Private,207418,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +22,?,335453,Some-college,10,Never-married,?,Own-child,White,Female,0,0,16,United-States,<=50K +29,Private,243660,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +28,Private,54243,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +54,Private,50385,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,>50K +47,State-gov,187581,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +34,Private,37380,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,247025,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,?,29231,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +23,State-gov,101094,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,60,United-States,<=50K +42,Local-gov,176716,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,118429,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +52,Federal-gov,221532,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +22,?,120572,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Local-gov,124680,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,153160,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,114678,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,5455,0,40,United-States,<=50K +49,State-gov,142856,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,29702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +20,Private,277700,Preschool,1,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K +55,Self-emp-inc,67433,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,121124,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,394447,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,33,United-States,>50K +36,Private,79649,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,203763,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K +55,Private,229029,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,48,United-States,>50K +21,?,494638,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +48,Private,162816,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,109117,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +24,Private,32732,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-not-inc,217692,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,38,United-States,<=50K +20,Private,34590,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +18,?,276864,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,20,United-States,<=50K +56,Private,168625,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,4101,0,40,United-States,<=50K +36,Private,91037,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,Private,171484,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +57,Private,200453,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +57,Private,36990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,52,United-States,<=50K +33,Private,198211,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +61,?,30475,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +39,Private,70995,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,99,United-States,>50K +28,Private,245790,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,273324,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,16,United-States,<=50K +60,Private,182687,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Local-gov,247807,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +58,Private,163113,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K +50,Private,180522,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,38,United-States,<=50K +23,Local-gov,203353,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,12,United-States,<=50K +30,Private,87469,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,216563,11th,7,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +90,Private,87372,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,72,United-States,>50K +49,Local-gov,173584,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Local-gov,80282,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,40,United-States,<=50K +34,Private,319854,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Taiwan,>50K +37,Federal-gov,408229,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,431307,10th,6,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,50,United-States,<=50K +37,Private,134088,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,246396,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +34,Private,159255,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,106014,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,186934,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +39,Private,120130,Some-college,10,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,203849,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,19,United-States,<=50K +24,Private,207940,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +28,Private,302406,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +41,Self-emp-not-inc,144594,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2179,40,United-States,<=50K +69,?,171050,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,9,United-States,<=50K +32,Private,459007,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,90,United-States,<=50K +58,Private,372181,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,>50K +47,Self-emp-not-inc,172034,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,75,United-States,>50K +41,Private,156566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K +35,Self-emp-inc,338320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Private,353696,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,Canada,<=50K +46,Self-emp-not-inc,342907,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +69,Self-emp-inc,169717,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,6418,0,45,United-States,>50K +22,Private,103762,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +36,State-gov,47570,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,119432,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,144165,Bachelors,13,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +35,Private,180647,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Local-gov,312232,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,5178,0,40,United-States,>50K +35,State-gov,150488,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,200876,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,16,United-States,<=50K +43,Private,188199,9th,5,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +53,State-gov,118793,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +54,Local-gov,204325,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K +29,Private,256671,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +46,Private,231515,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,47,Cuba,<=50K +24,Private,100669,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +30,Private,88913,Some-college,10,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +23,Private,363219,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,6,United-States,<=50K +27,?,291547,Bachelors,13,Married-civ-spouse,?,Not-in-family,Other,Female,0,0,6,Mexico,<=50K +36,Private,308945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,100316,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +33,Private,296453,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,15,United-States,<=50K +66,Private,298834,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Canada,<=50K +45,Self-emp-not-inc,188694,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +68,?,29240,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +37,Private,186934,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +17,Private,154908,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +31,Private,22201,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +46,Private,216999,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +40,Private,186916,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,116677,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,95763,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,266710,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,41,United-States,<=50K +46,Private,117849,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +30,Private,242460,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,202729,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Private,181652,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,174760,Assoc-acdm,12,Married-spouse-absent,Farming-fishing,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +34,Private,56121,11th,7,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,390369,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,149726,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,51262,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,190350,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,35,?,<=50K +53,Federal-gov,205288,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,35,United-States,>50K +36,Private,154835,HS-grad,9,Separated,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +45,Private,89028,HS-grad,9,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,10520,0,40,United-States,>50K +36,Private,194630,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Self-emp-not-inc,212207,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,11,United-States,<=50K +27,Private,204788,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,158688,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,97723,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,193026,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,257250,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,75,United-States,<=50K +48,Private,355978,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,200574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +21,Private,376929,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K +47,State-gov,123219,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +41,Private,82778,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +61,Self-emp-not-inc,115882,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +64,Private,103021,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,297767,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +44,Private,259479,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +20,Private,167787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +23,Local-gov,40021,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,70,United-States,<=50K +52,Private,245275,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +43,Private,37402,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +32,Private,103608,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +63,Private,137192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +29,Private,137618,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,41,United-States,>50K +42,Self-emp-inc,96509,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Taiwan,<=50K +65,Private,196174,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,28,United-States,<=50K +24,Private,172612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,141186,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,228190,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +40,Self-emp-inc,190290,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K +38,Federal-gov,307404,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,152436,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Self-emp-not-inc,182541,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K +39,Private,282153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +29,?,41281,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Private,162003,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,36,United-States,>50K +36,Private,190759,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,208122,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,Private,173832,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +55,Private,129173,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,287548,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +41,Private,216116,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +24,Private,146706,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +47,Private,285200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,314375,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +44,Private,203943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,35,United-States,>50K +18,?,274746,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,20,United-States,<=50K +27,Private,517000,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K +36,Private,66173,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,182823,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +29,Private,159479,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,55,United-States,<=50K +25,Private,135568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +73,Private,333676,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,201699,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +28,Private,96020,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +43,Private,176138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,47496,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +20,Private,187158,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +22,Private,249727,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +76,Self-emp-not-inc,237624,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +24,Private,175254,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,42924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,205950,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +33,Private,111985,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K +30,Private,167476,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,221172,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,?,188711,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Private,199448,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,313038,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,148431,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K +19,Private,112432,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,58,United-States,<=50K +46,Private,57914,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,145166,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,247119,7th-8th,4,Widowed,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K +53,Private,196278,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,?,366531,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,216481,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,188027,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +37,Private,66686,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +41,Private,74775,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,Vietnam,<=50K +65,?,325537,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +30,Self-emp-not-inc,250499,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,55,United-States,>50K +57,Self-emp-not-inc,192869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +44,Self-emp-inc,121352,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,70985,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4064,0,40,United-States,<=50K +27,Self-emp-not-inc,123116,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,339163,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +59,Self-emp-not-inc,124771,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,167531,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,15024,0,50,United-States,>50K +90,?,77053,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,4356,40,United-States,<=50K +22,Private,199266,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,190728,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,99212,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,48,United-States,>50K +38,Local-gov,421446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +61,Private,215944,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +24,Private,72310,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,43,United-States,<=50K +25,Private,57512,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,89413,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,28151,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +90,Private,46786,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,9386,0,15,United-States,>50K +30,Private,226943,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +44,Private,182402,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,305352,10th,6,Divorced,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +63,Self-emp-inc,189253,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +60,Private,296485,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,204375,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +49,Self-emp-not-inc,249585,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +47,Private,148995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +42,Self-emp-inc,168071,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K +53,Private,194995,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Italy,<=50K +23,Private,211049,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,4101,0,40,United-States,<=50K +28,?,196630,Assoc-voc,11,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +20,Private,50397,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,35,United-States,<=50K +43,Private,177905,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3908,0,40,United-States,<=50K +32,Private,204374,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +43,Private,60001,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,44,United-States,>50K +31,Private,223046,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +29,?,44921,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,154571,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +39,Private,67136,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +29,Private,188675,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,>50K +20,Private,390817,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,Mexico,<=50K +23,?,145964,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,30424,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +53,Private,548361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,189148,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +58,Self-emp-not-inc,266707,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2179,18,United-States,<=50K +51,Self-emp-not-inc,311569,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,187653,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +38,Private,235379,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +41,Private,188615,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Private,322691,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +25,Private,184698,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K +50,Private,144361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,130057,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +31,Self-emp-inc,117963,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,123876,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,248445,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +32,Private,207172,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +46,State-gov,119904,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,1564,55,United-States,>50K +62,Private,134768,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,269168,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,?,<=50K +56,Private,132026,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,7688,0,45,United-States,>50K +37,Private,60722,Some-college,10,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,>50K +41,Private,648223,1st-4th,2,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,40,Mexico,<=50K +56,Private,298695,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +20,Private,219835,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Self-emp-not-inc,313729,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +45,Private,140644,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +30,Private,203488,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,132341,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +27,Private,161683,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +38,Private,312771,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,258102,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +57,?,24127,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +47,Private,254367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +77,?,185426,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +43,Private,152629,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,141058,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +41,Private,233130,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,406641,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,State-gov,119422,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,255486,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,25,United-States,<=50K +22,Private,161532,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +25,Private,75759,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,>50K +18,Private,163332,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K +28,Private,103802,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1408,40,?,<=50K +50,Private,34832,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K +28,Private,37933,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K +21,Private,165107,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,126011,Assoc-voc,11,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +28,Federal-gov,56651,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,522881,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K +32,Private,191777,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,35,England,<=50K +27,Private,132686,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +55,Private,201112,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,174283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,208591,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,126399,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +50,Private,142073,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +18,Private,395567,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +74,Private,180455,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,8,United-States,<=50K +22,Private,235853,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,160731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,State-gov,31935,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,80,United-States,<=50K +41,Private,35166,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +24,Private,161092,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +23,Private,223019,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,179673,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K +46,State-gov,248895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,200323,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +41,Private,230020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +29,Private,134890,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +48,Private,162096,9th,5,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,45,China,<=50K +51,Private,103824,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K +34,State-gov,61431,12th,8,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +58,Private,197319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +52,Private,183618,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,268598,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,7298,0,50,Puerto-Rico,>50K +53,Private,263729,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,39493,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,185360,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,132661,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,60,United-States,<=50K +20,Private,266400,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,48,United-States,<=50K +23,Private,433669,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,216473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,Self-emp-not-inc,217404,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,227778,Assoc-voc,11,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +73,State-gov,96262,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,247566,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,<=50K +56,Private,139616,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +32,Private,73585,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,37869,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1590,40,United-States,<=50K +33,Private,165814,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +37,Private,108913,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,34975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,157078,10th,6,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,232672,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,294295,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,130454,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Local-gov,461678,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,State-gov,252284,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,256737,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Local-gov,96480,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K +25,Private,234263,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,109952,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,262570,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,65716,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +68,Private,201732,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,174788,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +38,Private,278924,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,101593,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +71,?,193863,7th-8th,4,Widowed,?,Other-relative,White,Female,0,0,16,Poland,<=50K +37,Private,342768,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,242606,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K +27,State-gov,176727,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,99179,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,State-gov,354104,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +25,Private,61956,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Federal-gov,137917,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +40,Private,224658,Some-college,10,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +38,Private,51100,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K +25,Private,224361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,362912,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,50,United-States,<=50K +23,Private,218782,10th,6,Never-married,Handlers-cleaners,Other-relative,Other,Male,0,0,40,United-States,<=50K +28,Private,103389,Masters,14,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,308944,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,140092,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,202210,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,416059,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +33,Self-emp-not-inc,281030,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,94,United-States,<=50K +19,Private,169758,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +68,Private,193666,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,55,United-States,>50K +41,Private,139907,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +18,Self-emp-inc,119422,HS-grad,9,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,30,India,<=50K +29,Private,149324,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +40,Private,259307,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +51,Self-emp-not-inc,74160,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K +49,Private,134797,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,State-gov,41103,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +38,Local-gov,193026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +57,Private,303986,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Cuba,<=50K +35,Private,126569,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +66,Private,166461,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,United-States,<=50K +27,?,61387,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +25,Private,254746,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +77,?,28678,Masters,14,Married-civ-spouse,?,Husband,White,Male,9386,0,6,United-States,>50K +19,?,180976,10th,6,Never-married,?,Unmarried,White,Female,0,0,35,United-States,<=50K +70,Private,282642,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2174,40,United-States,>50K +59,Self-emp-not-inc,136413,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +25,Private,131463,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,177240,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +37,Private,218490,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,El-Salvador,>50K +75,?,260543,10th,6,Widowed,?,Other-relative,Asian-Pac-Islander,Female,0,0,1,China,<=50K +21,?,80680,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,20728,HS-grad,9,Never-married,Sales,Own-child,White,Female,4101,0,40,United-States,<=50K +47,Federal-gov,117628,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,91939,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,1721,30,United-States,<=50K +32,State-gov,175931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,309566,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +53,Private,123703,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,369678,HS-grad,9,Never-married,?,Not-in-family,Other,Male,0,0,30,United-States,<=50K +58,Private,29928,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,36,United-States,<=50K +22,Private,167868,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,235894,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,189888,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,3325,0,60,United-States,<=50K +36,Private,111545,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +39,Private,175972,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +34,Local-gov,254270,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Local-gov,185057,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +72,Private,157593,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,1455,0,6,United-States,<=50K +34,Private,101345,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +51,Local-gov,176751,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +32,Self-emp-not-inc,97723,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,127601,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +37,Private,227597,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,?,143995,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K +21,Private,250051,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +26,Private,284078,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,207668,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K +18,Private,163787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,119170,11th,7,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +20,Private,188612,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,Nicaragua,<=50K +36,Private,114605,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +31,?,317761,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,164197,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +54,Private,329266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +34,Local-gov,207383,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,123598,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +33,Private,259931,11th,7,Separated,Machine-op-inspct,Other-relative,White,Male,0,0,30,United-States,<=50K +32,Private,134737,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +42,Private,106900,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,87054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,82622,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +28,Private,181659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,321205,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,4101,0,35,United-States,<=50K +44,Self-emp-not-inc,231348,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +40,Private,276096,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,290560,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,307315,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +39,State-gov,99156,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,237928,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,39,United-States,<=50K +46,Private,153501,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +47,?,149700,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,36,United-States,>50K +47,Private,189680,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +35,Private,374524,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K +60,Self-emp-not-inc,127805,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,150217,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,Poland,<=50K +33,Private,295649,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,China,<=50K +21,Private,197182,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,241998,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +48,Federal-gov,156410,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,>50K +58,Private,473836,7th-8th,4,Widowed,Farming-fishing,Other-relative,White,Female,0,0,45,Guatemala,<=50K +21,Private,198431,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,113936,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,318915,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,175406,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +33,?,193172,Assoc-voc,11,Married-civ-spouse,?,Own-child,White,Female,7688,0,50,United-States,>50K +23,Federal-gov,320294,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,State-gov,400285,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +24,?,283731,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,227154,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +49,Private,298659,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,Mexico,<=50K +47,Private,212120,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +50,Private,320510,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +21,Private,175800,HS-grad,9,Never-married,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +55,Private,170169,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,344157,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,199441,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,225456,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,50,United-States,<=50K +36,Private,61178,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,175262,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,2002,40,England,<=50K +42,Private,152568,HS-grad,9,Widowed,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +41,Private,182108,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,27828,0,35,United-States,>50K +46,Private,273771,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +32,Private,208291,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,224358,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,55176,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,State-gov,152711,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +53,Private,68684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,185452,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Federal-gov,175232,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1977,60,United-States,>50K +23,Private,173851,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,162327,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,?,>50K +36,Local-gov,51424,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,123416,12th,8,Separated,Prof-specialty,Own-child,White,Female,1055,0,40,United-States,<=50K +26,Private,262656,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,233194,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +41,Private,290660,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,55,United-States,>50K +22,Private,151105,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,18,United-States,<=50K +38,Private,179117,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,Black,Female,10520,0,50,United-States,>50K +72,?,33608,Some-college,10,Married-civ-spouse,?,Husband,White,Male,9386,0,30,United-States,>50K +39,Private,317434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,State-gov,126569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +38,Local-gov,745768,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K +19,Private,69927,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,16,United-States,<=50K +26,Private,302603,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +52,Private,46788,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Male,0,0,25,United-States,<=50K +41,Private,289886,5th-6th,3,Married-civ-spouse,Other-service,Husband,Other,Male,0,1579,40,Nicaragua,<=50K +45,Private,179135,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Federal-gov,175873,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,Private,57426,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +36,Private,312206,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Without-pay,344858,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +26,State-gov,177035,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,88055,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,111095,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,192251,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +27,Private,29807,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,Japan,<=50K +26,Federal-gov,211596,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,268276,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +59,Self-emp-not-inc,181070,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,England,>50K +53,Local-gov,20676,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +35,Private,115803,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Local-gov,124827,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,95336,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +36,Private,257942,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,72593,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,147340,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,185325,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +59,Self-emp-not-inc,357943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +22,Private,215395,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,1602,10,United-States,<=50K +50,Local-gov,30682,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +24,Federal-gov,29591,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,United-States,<=50K +36,Private,215392,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,110554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,4386,0,40,United-States,>50K +42,Self-emp-not-inc,133584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +38,Private,210438,7th-8th,4,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,256916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,73541,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,109952,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +54,Private,197975,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K +27,Private,401723,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +42,Private,179524,Bachelors,13,Separated,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,State-gov,296282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,145844,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +59,Private,191965,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,3908,0,28,United-States,<=50K +54,Private,96792,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +48,Private,185041,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1672,55,United-States,<=50K +19,?,233779,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +45,Private,347834,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,215373,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K +35,Self-emp-not-inc,169426,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,202856,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +33,Private,50276,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,187454,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,126098,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,250639,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +64,Self-emp-inc,195366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,186845,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,8,United-States,<=50K +20,Federal-gov,119156,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K +28,Private,162343,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +52,Private,108435,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,Greece,>50K +29,Self-emp-not-inc,394927,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Private,172281,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,370767,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,60,United-States,<=50K +43,Private,352005,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +52,Private,165681,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,258819,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +25,Private,130793,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +36,Private,118909,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +44,Private,202466,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K +47,Private,161558,10th,6,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,45,United-States,<=50K +32,Private,188246,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,160120,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K +40,Private,144594,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K +34,Self-emp-not-inc,123429,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +35,Self-emp-inc,340110,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +26,Private,523067,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,3,El-Salvador,<=50K +49,Self-emp-not-inc,113513,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +63,?,186809,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +46,Self-emp-not-inc,320421,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K +31,Local-gov,295589,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,370548,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,120572,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +52,Private,110977,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +26,Private,55860,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Private,158800,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,131568,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,173613,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +22,Private,216867,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,104089,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,208106,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Ecuador,<=50K +27,State-gov,340269,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,236246,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,213408,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Cuba,<=50K +40,?,84232,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +19,Private,302945,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,Thailand,<=50K +69,?,28197,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K +20,Private,262749,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +34,Federal-gov,198265,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,170871,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +27,Private,177761,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,50,United-States,<=50K +59,Private,175689,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,14,Cuba,>50K +45,Private,205100,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +21,Private,77759,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +51,State-gov,77905,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +64,?,193575,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +41,State-gov,116520,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,?,85154,12th,8,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,24,Germany,<=50K +49,Private,180532,Masters,14,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,508891,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +20,Private,211345,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,20,United-States,<=50K +69,Self-emp-not-inc,170877,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +18,?,97318,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +43,Private,184105,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,150941,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,44,United-States,<=50K +32,Private,303942,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,273929,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,197077,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,162825,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +46,Private,159869,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K +19,Private,158343,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,?,<=50K +17,?,406920,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,227986,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,137527,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,180150,12th,8,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,239539,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +58,Private,281792,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +40,Private,224799,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +64,Private,292639,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,10566,0,35,United-States,<=50K +66,Private,22313,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +42,Private,194636,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,156089,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,193720,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +25,Private,218667,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,358837,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,174685,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,168854,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,54,United-States,<=50K +28,Private,133696,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,65,United-States,<=50K +23,Federal-gov,350680,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,Poland,<=50K +18,Private,115215,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +43,Self-emp-not-inc,152958,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +29,Private,217200,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,235124,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,46,Dominican-Republic,<=50K +31,Local-gov,144949,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Private,135470,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +42,Private,281209,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,155489,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,290306,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,182042,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +31,Private,210008,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +54,Private,234938,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,55,United-States,<=50K +46,Private,315423,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2042,50,United-States,<=50K +27,Self-emp-not-inc,30244,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,80,United-States,<=50K +50,Local-gov,30008,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +38,Self-emp-not-inc,201328,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K +36,State-gov,96468,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,486332,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K +19,Private,46162,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K +60,Local-gov,98350,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,Philippines,<=50K +45,Local-gov,175958,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,119309,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,1602,16,United-States,<=50K +42,Private,175935,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1980,46,United-States,<=50K +38,Private,204527,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +22,?,57827,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,418176,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,32,United-States,<=50K +23,Private,262744,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,177287,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +30,Private,255004,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K +62,Private,183735,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,318644,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +42,Federal-gov,132125,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K +33,Private,206051,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,99185,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +35,Private,225750,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +33,Private,245777,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,169092,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +62,Private,211035,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K +24,Private,285432,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,154779,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +54,Private,37237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +58,Private,417419,7th-8th,4,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,33975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,42485,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +27,Private,170017,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,152683,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,35,United-States,<=50K +20,Private,41721,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K +64,Private,66634,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,257216,Masters,14,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,167882,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,43,United-States,<=50K +45,Private,179428,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +26,Private,57512,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,301614,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,193820,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1876,40,United-States,<=50K +58,Private,222247,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +39,Self-emp-inc,189092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,217509,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,45,Thailand,<=50K +35,Private,308691,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +38,Private,169672,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,120914,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,370156,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +28,Private,398220,5th-6th,3,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +44,Self-emp-not-inc,208277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,45,United-States,<=50K +40,Private,337456,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,172666,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,32280,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,194901,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +19,?,57329,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,Japan,<=50K +32,Private,173730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +45,Local-gov,153312,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,10,United-States,>50K +23,Private,274797,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +31,Private,359249,Assoc-voc,11,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,152744,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +59,Private,188041,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,97723,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +49,State-gov,354529,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,249727,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +26,Private,189590,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +23,State-gov,298871,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +55,Self-emp-not-inc,205296,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +47,Private,303637,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,49,United-States,>50K +44,Private,242861,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,37599,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +40,State-gov,199381,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,37,United-States,>50K +32,Self-emp-not-inc,56328,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,>50K +20,Private,256211,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +84,Local-gov,163685,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,33,United-States,<=50K +40,Private,266084,Some-college,10,Divorced,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +37,Private,161111,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,199031,Some-college,10,Divorced,Transport-moving,Own-child,White,Male,0,1380,40,United-States,<=50K +47,Private,166634,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Germany,<=50K +62,Self-emp-not-inc,204085,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +19,?,369527,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,464945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Local-gov,174684,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +26,Local-gov,166295,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,41,United-States,<=50K +36,Private,220511,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,246936,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,104509,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,?,266337,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,252168,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,92093,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +62,Private,88055,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,129591,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,142719,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +18,?,264924,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,128796,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +38,Private,115336,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,70,United-States,<=50K +52,Private,190333,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,179444,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,15,United-States,<=50K +49,Private,218676,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +17,Local-gov,148194,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +33,Private,184833,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +70,Self-emp-not-inc,280639,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,2329,0,20,United-States,<=50K +19,Private,217769,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +27,?,180553,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +61,Private,56009,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,255334,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +46,Self-emp-inc,328216,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,42,?,>50K +29,Private,349154,10th,6,Separated,Farming-fishing,Unmarried,White,Female,0,0,40,Guatemala,<=50K +40,Local-gov,24763,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,6849,0,40,United-States,<=50K +43,State-gov,41834,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,>50K +24,Private,113466,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,130856,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +61,Self-emp-not-inc,268797,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,17,United-States,<=50K +48,Private,202117,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +19,Private,280146,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +30,Private,70377,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,236696,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +39,Local-gov,222572,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +46,Self-emp-inc,110702,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,2036,0,60,United-States,<=50K +40,Private,96129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K +27,Local-gov,200492,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,193820,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,454508,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,2001,40,United-States,<=50K +58,Private,220789,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,101345,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,Canada,>50K +40,Private,140559,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +40,Self-emp-inc,64885,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +31,Private,402361,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,143582,HS-grad,9,Separated,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,48,China,<=50K +49,Private,185385,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,112706,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,130364,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Local-gov,147428,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,205895,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +65,?,273569,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Private,153160,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,167918,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,India,<=50K +41,Private,195661,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,54,United-States,<=50K +27,State-gov,146243,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +52,?,105428,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K +26,Private,149943,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,60,?,<=50K +52,Local-gov,246197,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Local-gov,192563,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +19,Private,244115,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +39,Local-gov,98587,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K +47,Private,145886,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,244315,HS-grad,9,Divorced,Craft-repair,Other-relative,Other,Male,0,0,40,United-States,<=50K +48,Private,192779,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,209464,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +60,Private,25141,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,405793,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +47,Federal-gov,53498,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +69,?,476653,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +40,Self-emp-not-inc,162312,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,66,South,<=50K +37,Private,277022,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,3887,0,40,Nicaragua,<=50K +41,State-gov,109762,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,123031,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,48,Trinadad&Tobago,<=50K +46,Federal-gov,119890,Assoc-voc,11,Separated,Tech-support,Not-in-family,Other,Female,0,0,30,United-States,<=50K +21,Self-emp-not-inc,409230,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,223308,Masters,14,Separated,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +38,?,129150,10th,6,Separated,?,Own-child,White,Male,0,0,35,United-States,<=50K +47,Self-emp-not-inc,119199,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +42,Private,46221,Doctorate,16,Married-spouse-absent,Other-service,Not-in-family,White,Male,27828,0,60,?,>50K +42,Local-gov,351161,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,174533,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +32,Private,324386,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,126568,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,33,United-States,<=50K +26,Private,275703,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,219611,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,2174,0,50,United-States,<=50K +49,Private,200471,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +65,Private,155261,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +73,State-gov,74040,7th-8th,4,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Private,226296,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,211968,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +49,Local-gov,126446,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +25,Private,262885,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +39,Private,188069,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K +19,Private,113546,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,56,United-States,<=50K +24,Private,227070,10th,6,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,136997,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +35,?,119006,HS-grad,9,Widowed,?,Own-child,White,Female,0,0,38,United-States,<=50K +21,Private,212407,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +43,Private,197810,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Federal-gov,35309,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,28,?,<=50K +39,Private,141802,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,?,184513,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,80,United-States,>50K +33,Self-emp-not-inc,124187,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Male,0,0,32,United-States,<=50K +19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,26,United-States,<=50K +17,Private,156736,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,12,United-States,<=50K +43,Self-emp-not-inc,47261,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +62,Private,150693,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +53,Local-gov,233734,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,>50K +45,State-gov,35969,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +47,Private,159550,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,190823,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +53,Private,213378,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +24,Private,257500,HS-grad,9,Separated,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +41,Local-gov,488706,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,239405,5th-6th,3,Divorced,Other-service,Other-relative,Black,Female,0,0,40,Haiti,<=50K +27,Federal-gov,105189,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,4865,0,50,United-States,<=50K +63,State-gov,109735,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +50,Private,172942,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,28,United-States,<=50K +43,Local-gov,209899,Masters,14,Never-married,Tech-support,Not-in-family,Black,Female,8614,0,47,United-States,>50K +29,Self-emp-inc,87745,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +41,Private,187881,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3942,0,40,United-States,<=50K +55,Private,234125,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,272944,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Local-gov,129232,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,100345,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,13550,0,55,United-States,>50K +58,Self-emp-not-inc,195835,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,251854,11th,7,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +40,Private,103474,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +38,Private,22042,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K +37,Private,343721,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Private,232368,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +55,Private,174478,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,29,United-States,<=50K +55,Private,282023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +28,Private,274690,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,251675,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +32,?,647882,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,<=50K +60,Private,128367,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,3325,0,42,United-States,<=50K +32,Private,37380,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +34,Private,173730,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,353824,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +21,Private,225890,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +24,State-gov,147147,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +53,Private,233780,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,2202,0,40,United-States,<=50K +29,Private,394927,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +34,Local-gov,188682,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,?,115209,Prof-school,15,Married-spouse-absent,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +41,Private,277192,5th-6th,3,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,Mexico,<=50K +21,Private,314182,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,220776,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +31,Local-gov,189269,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,35429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2042,40,United-States,<=50K +42,Private,154374,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K +62,Private,161460,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +51,Private,251487,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +30,Private,177531,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +24,Private,53942,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,113481,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,361324,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,330087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +33,Private,276221,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,121055,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +62,Private,118696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Self-emp-not-inc,289741,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +18,Private,238401,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +43,Private,262038,5th-6th,3,Married-spouse-absent,Farming-fishing,Unmarried,White,Male,0,0,35,Mexico,<=50K +62,Self-emp-not-inc,26911,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,66,United-States,<=50K +29,Private,161155,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,252519,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,Haiti,>50K +39,Private,43712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +69,?,167826,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,188900,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,120057,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K +25,Private,134113,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Local-gov,165822,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +17,Private,99161,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +41,Local-gov,74581,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,65,United-States,<=50K +19,Private,304643,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +57,Private,121821,1st-4th,2,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K +25,Private,154863,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K +37,Local-gov,365430,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Canada,>50K +29,Private,183111,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,50178,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,186845,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +52,Private,159908,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,162189,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,1831,0,40,Peru,<=50K +29,Private,128509,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,38,El-Salvador,<=50K +23,Private,143032,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +31,Private,382368,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,210013,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,293928,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,208503,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,10,United-States,<=50K +37,State-gov,191841,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,8614,0,40,United-States,>50K +49,Self-emp-not-inc,355978,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K +64,Local-gov,202738,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +37,Local-gov,144322,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +70,Self-emp-not-inc,155141,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,12,United-States,>50K +22,Private,160120,10th,6,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +29,Self-emp-inc,190450,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Germany,<=50K +37,Private,212900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,115677,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,252250,11th,7,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +27,Private,212041,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,State-gov,198145,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +60,Local-gov,113658,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +20,Private,32426,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +51,Private,98791,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +37,Private,203828,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +22,State-gov,186634,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +56,Self-emp-not-inc,125147,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,247455,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,5178,0,42,United-States,>50K +19,Private,97215,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +37,Private,330826,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,<=50K +27,Private,200802,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,156266,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +52,Self-emp-not-inc,72257,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,363087,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,25955,Some-college,10,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,334633,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,109162,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +44,Private,569761,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +30,Private,209900,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,State-gov,272986,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,8,United-States,<=50K +55,?,52267,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K +46,Private,82946,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,104651,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +25,Local-gov,58441,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Local-gov,269733,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,128453,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,28,United-States,<=50K +36,Private,179468,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,183081,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,102938,Bachelors,13,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +30,?,157289,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,359828,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +30,Private,155659,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +24,Private,585203,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,45,United-States,>50K +62,Private,173601,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,214541,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1590,40,United-States,<=50K +49,Self-emp-not-inc,163352,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,85,United-States,>50K +36,Self-emp-not-inc,153976,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +47,Local-gov,247676,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,45,United-States,<=50K +49,State-gov,155372,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,329733,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,162576,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +26,Private,176520,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,53,United-States,<=50K +51,State-gov,226885,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,120781,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +30,Private,375827,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Private,205504,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Private,198813,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,254291,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +62,Private,159908,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,>50K +49,Private,40000,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,44,United-States,<=50K +69,Private,102874,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +35,Private,117381,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,45,United-States,>50K +78,Private,180239,Masters,14,Widowed,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K +61,Private,539563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +24,Private,261561,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,81057,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,160120,Bachelors,13,Married-civ-spouse,Sales,Husband,Other,Male,0,0,45,?,<=50K +17,Private,41979,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,275110,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,80,United-States,>50K +64,Private,265661,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,193246,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,France,<=50K +32,Private,236543,12th,8,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +19,Private,29510,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +42,State-gov,105804,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,194604,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +23,Private,1038553,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,45,United-States,<=50K +51,Local-gov,209320,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,3325,0,40,United-States,<=50K +31,Private,193231,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,3325,0,60,United-States,<=50K +44,Private,307468,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,29,United-States,>50K +38,Private,255941,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K +44,Local-gov,107845,Assoc-acdm,12,Divorced,Protective-serv,Not-in-family,White,Female,0,0,56,United-States,>50K +44,Self-emp-not-inc,567788,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,91857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +36,Private,732569,9th,5,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,86613,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,20,El-Salvador,<=50K +46,Private,35961,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,25,Germany,<=50K +47,Private,114754,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,235124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,99999,0,40,United-States,>50K +37,Local-gov,218490,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,35,United-States,>50K +27,Private,329426,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Private,181015,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,50,United-States,<=50K +44,Self-emp-not-inc,264740,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,381153,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K +34,Private,189759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +39,Private,230467,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,1092,40,Germany,<=50K +36,Private,218542,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Private,298507,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +78,Private,111189,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,Dominican-Republic,<=50K +24,Private,168997,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,168894,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,149809,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,344073,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +22,Private,416165,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +36,Private,41490,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,40269,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +67,?,243256,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +42,Private,250536,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,21,Haiti,<=50K +49,Federal-gov,105586,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +58,Private,51499,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,189878,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,179481,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,4650,0,44,United-States,<=50K +25,Private,299765,Some-college,10,Separated,Adm-clerical,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +45,Self-emp-inc,155664,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +30,Private,54608,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +49,?,174702,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +36,Self-emp-not-inc,285020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K +23,Private,201145,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +51,Private,125796,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,Jamaica,<=50K +55,Private,249072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +35,Private,99156,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,State-gov,94754,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,India,<=50K +36,Private,111128,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +32,Local-gov,157887,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,74194,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +47,Self-emp-inc,168191,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,28334,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +52,Private,84278,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,?,>50K +44,Private,721161,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,188069,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,145178,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Female,0,0,30,United-States,<=50K +17,Private,52967,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K +18,Private,177578,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K +30,Self-emp-inc,185384,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +66,Private,66008,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,50,England,<=50K +59,Private,329059,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Local-gov,348802,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +50,Private,34233,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,509629,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,27956,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,99,Philippines,<=50K +44,Local-gov,83286,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +25,Private,309098,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,188950,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,224217,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,222899,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,123306,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +52,Federal-gov,279337,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,347166,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +37,Local-gov,251396,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Canada,>50K +17,Self-emp-inc,143034,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,4,United-States,<=50K +25,Private,57635,Assoc-voc,11,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K +35,Local-gov,162651,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +63,Private,28334,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +38,Local-gov,84570,Some-college,10,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +33,Private,181091,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,Iran,>50K +51,Local-gov,117496,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +64,State-gov,216160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Columbia,>50K +50,Self-emp-inc,204447,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,374969,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,56,United-States,<=50K +67,Private,35015,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K +46,Private,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,137733,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,193125,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,103649,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +56,State-gov,54260,Doctorate,16,Married-civ-spouse,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,2885,0,40,China,<=50K +29,Private,197932,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,Mexico,>50K +37,Private,249720,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,27,United-States,<=50K +55,Private,223613,1st-4th,2,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,30,Cuba,<=50K +24,Private,259865,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +21,Private,301694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Mexico,<=50K +46,Self-emp-inc,276934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +25,Private,395512,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Mexico,<=50K +40,Private,168071,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K +23,Private,45317,Some-college,10,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,311177,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,30,United-States,<=50K +29,Self-emp-not-inc,190636,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,1485,60,United-States,>50K +59,Private,221336,10th,6,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +18,Private,120691,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,35,?,<=50K +28,Private,107389,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,32,United-States,<=50K +17,Private,293440,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +53,Private,145409,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +22,Private,213902,5th-6th,3,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,40,El-Salvador,<=50K +63,Private,100099,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,191856,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K +40,Local-gov,233891,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +61,Self-emp-not-inc,96073,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,England,>50K +35,Private,474136,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1408,40,United-States,<=50K +43,Self-emp-not-inc,355856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Philippines,<=50K +20,?,144685,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,1602,40,Taiwan,<=50K +48,Self-emp-not-inc,139212,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,State-gov,143931,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Federal-gov,160703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,191291,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,68729,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1902,40,United-States,>50K +61,Private,119986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +37,Private,227545,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +36,Private,32776,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +34,Private,228881,Some-college,10,Separated,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,United-States,<=50K +23,Private,84648,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +63,Federal-gov,101996,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +63,?,68954,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,11,United-States,<=50K +47,Local-gov,285060,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,41,United-States,>50K +55,Self-emp-inc,209569,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,>50K +31,Local-gov,331126,Bachelors,13,Never-married,Protective-serv,Own-child,Black,Male,0,0,48,United-States,<=50K +27,Private,279872,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,150560,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,14084,0,40,United-States,>50K +28,Local-gov,185647,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +52,Private,128871,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,64,United-States,<=50K +31,Federal-gov,386331,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,<=50K +53,Private,117814,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +43,Private,220609,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Local-gov,117022,HS-grad,9,Married-spouse-absent,Farming-fishing,Unmarried,Black,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,176751,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,80,United-States,>50K +68,?,76371,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,80410,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,127202,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,121471,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,219086,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +59,Private,271571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +30,Private,241583,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,374253,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K +30,Private,214993,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,199995,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +38,Private,450924,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,3942,0,40,United-States,<=50K +29,Private,120359,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +76,Private,93125,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,1424,0,24,United-States,<=50K +21,Private,187513,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +65,Private,243569,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +43,Private,295510,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +29,Private,29732,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K +32,Private,211743,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,251396,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +64,Private,477697,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +49,Private,151584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,193882,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +68,?,117542,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,1409,0,15,United-States,<=50K +34,Private,242460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +35,Private,411395,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,<=50K +53,Private,191025,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +24,Private,154571,Assoc-voc,11,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,50,South,<=50K +31,Private,208657,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,29599,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K +36,Private,423711,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,122000,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Private,148581,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +42,Self-emp-not-inc,222978,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,149118,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,218407,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,Cuba,<=50K +47,Self-emp-not-inc,112200,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,10520,0,45,United-States,>50K +44,Private,85604,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +19,Private,111232,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,99199,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +51,Private,199995,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +69,Private,122850,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,16,United-States,<=50K +73,?,90557,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +18,?,271935,11th,7,Never-married,?,Other-relative,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,361497,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Local-gov,399020,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +33,Private,345277,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,>50K +20,Federal-gov,55233,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,200515,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,188119,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,176683,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +22,Private,309178,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +67,Self-emp-not-inc,40021,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +31,Self-emp-inc,49923,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,?,36635,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,25,United-States,<=50K +43,Federal-gov,325706,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K +33,Private,124407,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,301568,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +27,Private,339956,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,60,United-States,<=50K +36,Private,176335,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,198452,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +63,Private,213945,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,Iran,>50K +48,Private,171807,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,56,United-States,>50K +25,Private,362826,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K +41,Self-emp-not-inc,344329,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,10,United-States,<=50K +26,Private,137678,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,175424,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +33,State-gov,73296,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,1831,0,40,United-States,<=50K +30,State-gov,137613,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,17,Taiwan,<=50K +67,Self-emp-not-inc,354405,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,Private,130057,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +48,Self-emp-not-inc,362883,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K +51,Private,49017,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +39,Private,149943,Masters,14,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +40,Self-emp-inc,99185,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,294708,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,228238,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +28,Private,156819,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,36,United-States,<=50K +47,Private,332727,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +20,Private,289944,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Private,116103,HS-grad,9,Widowed,Exec-managerial,Other-relative,White,Male,914,0,40,United-States,<=50K +29,Private,24153,Some-college,10,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +40,Private,273425,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +61,Private,231183,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,313930,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +26,Private,114483,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,162108,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,168807,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Local-gov,143828,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,9562,0,40,United-States,>50K +73,Private,242769,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3471,0,40,England,<=50K +46,Local-gov,111558,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,69770,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,291981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,102460,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,151584,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,1876,40,United-States,<=50K +47,Local-gov,287320,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,115677,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,239632,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,409172,Bachelors,13,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,55,United-States,<=50K +20,Private,186849,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +28,Private,118861,10th,6,Married-civ-spouse,Craft-repair,Wife,Other,Female,0,0,48,Guatemala,<=50K +26,Private,142689,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,?,<=50K +41,State-gov,170924,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +67,?,274451,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,153489,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,186489,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K +18,Private,192409,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +55,State-gov,337599,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,195545,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +64,Private,61892,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,15,United-States,<=50K +34,Self-emp-not-inc,175697,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,75,United-States,<=50K +38,Private,80303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +25,Private,419658,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,8,United-States,<=50K +21,Private,319163,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +37,Private,126743,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,53,Mexico,<=50K +39,Private,301568,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,120461,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,268145,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +54,Private,257337,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-inc,213354,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +25,Private,303431,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,124963,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,158218,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K +27,State-gov,553473,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,48,United-States,<=50K +53,Private,46155,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +68,Private,138714,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +56,Private,231781,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,496414,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +24,Private,19410,HS-grad,9,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,48,United-States,<=50K +70,?,28471,9th,5,Widowed,?,Unmarried,White,Female,0,0,25,United-States,<=50K +24,Private,185821,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +74,?,272667,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,?,194031,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Local-gov,144995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +45,Private,162494,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,19,United-States,<=50K +35,Private,171968,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,232569,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,161819,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,25,United-States,<=50K +18,Private,123343,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,105449,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Male,0,0,25,United-States,<=50K +49,Private,181717,Assoc-voc,11,Separated,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +45,Local-gov,102359,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,<=50K +27,Private,72887,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +28,Private,154571,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +35,Private,255191,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Private,174789,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,110402,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +19,Private,208513,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,121904,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +28,Private,34335,HS-grad,9,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Male,14084,0,40,United-States,>50K +49,Private,59380,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,?,135285,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2603,32,United-States,<=50K +39,Self-emp-inc,126675,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +22,Private,217363,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,91836,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,184813,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,178142,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +49,Local-gov,102359,9th,5,Widowed,Handlers-cleaners,Unmarried,White,Male,0,2231,40,United-States,>50K +33,Self-emp-inc,281832,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +28,Private,96226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,195124,7th-8th,4,Married-spouse-absent,Prof-specialty,Other-relative,White,Male,0,0,35,Puerto-Rico,<=50K +20,Private,56322,Some-college,10,Never-married,Other-service,Own-child,White,Male,2176,0,25,United-States,<=50K +50,Local-gov,97449,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,339773,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Federal-gov,210926,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,199499,Assoc-voc,11,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Federal-gov,190729,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,191385,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,77,United-States,<=50K +61,Private,193479,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +43,Self-emp-not-inc,225165,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,346766,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,State-gov,152307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,?,79990,11th,7,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +42,Self-emp-not-inc,170649,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,197207,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,229732,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +52,Private,204402,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K +36,Private,181065,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +38,Private,179579,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +50,Private,237729,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,2444,72,United-States,>50K +23,?,164574,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +71,Private,179574,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,12,United-States,>50K +27,Private,191782,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,30,United-States,<=50K +56,Private,146660,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +28,Self-emp-not-inc,115945,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,210875,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,137898,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +28,Local-gov,216965,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,201554,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,15,United-States,<=50K +62,Private,57970,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,208378,12th,8,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,61343,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,283872,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K +58,Private,225603,9th,5,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,401333,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,278228,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,145377,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,120238,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,187215,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,36,United-States,>50K +29,Self-emp-not-inc,144063,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +38,Private,238721,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,164920,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,152493,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +50,Private,92968,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +50,Private,136836,HS-grad,9,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Federal-gov,216453,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,45,United-States,<=50K +30,Private,349148,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +29,State-gov,309620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K +22,State-gov,347803,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,20,United-States,<=50K +42,Private,85995,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +19,?,167428,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,164569,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,48,United-States,<=50K +42,Self-emp-not-inc,308279,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,21,United-States,<=50K +20,Private,56322,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +51,?,203015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,211654,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Self-emp-inc,120126,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,239043,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,?,179761,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +20,Private,312017,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Germany,<=50K +51,Private,257485,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Private,49243,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,229716,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +31,Private,341672,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K +24,Private,32311,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +56,Private,275236,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,?,400356,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,184596,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,3942,0,50,United-States,<=50K +18,Private,186909,HS-grad,9,Never-married,Sales,Other-relative,White,Female,1055,0,30,United-States,<=50K +43,Private,152420,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K +43,State-gov,261929,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,White,Male,25236,0,64,United-States,>50K +21,Private,235442,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,161691,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +20,?,173945,11th,7,Married-civ-spouse,?,Other-relative,White,Female,0,0,39,United-States,<=50K +41,Private,355918,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +45,State-gov,198660,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,122649,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,Private,421967,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K +50,Local-gov,259377,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +47,Private,74305,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +80,Self-emp-not-inc,34340,7th-8th,4,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,35,United-States,<=50K +47,Self-emp-not-inc,182752,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Iran,<=50K +19,?,48393,Some-college,10,Never-married,?,Own-child,White,Male,0,0,84,United-States,<=50K +45,Private,34248,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,186677,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +37,Private,167851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,146460,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,209650,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +18,Self-emp-not-inc,132986,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,94429,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,252406,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,174592,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,151322,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +51,Private,37237,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,>50K +38,Private,101192,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +77,?,152900,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +51,Private,94081,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +24,Private,329408,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,106028,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +35,?,164866,10th,6,Divorced,?,Not-in-family,White,Male,0,0,99,United-States,<=50K +51,Self-emp-inc,167793,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +28,Private,138692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,173968,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,228320,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,96585,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +42,Private,156580,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,Puerto-Rico,<=50K +58,Private,210673,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +52,Local-gov,137753,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,20,United-States,<=50K +29,Private,29865,HS-grad,9,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,<=50K +27,Private,196044,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,308995,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,Jamaica,<=50K +59,Private,159008,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,20,United-States,>50K +28,Private,362491,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,94395,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,320047,10th,6,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,98535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +65,Private,183170,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +18,?,331511,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +38,Private,195686,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,178244,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,127833,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,269722,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +55,State-gov,136819,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,205604,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,Mexico,<=50K +28,Private,132078,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,234880,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +24,Private,196816,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3908,0,40,United-States,<=50K +36,Private,237943,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +68,Self-emp-inc,140852,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,105614,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +18,Private,83492,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,225772,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +37,Private,242713,12th,8,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +60,Private,355865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,Private,173316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,35662,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,>50K +17,Private,297246,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,9,United-States,<=50K +43,Private,108945,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Private,112158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,26,?,<=50K +21,Self-emp-not-inc,57298,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +42,Self-emp-not-inc,115323,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,7,?,<=50K +48,Self-emp-not-inc,164582,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,60,United-States,>50K +56,Private,295067,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,45,United-States,>50K +21,Private,177265,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +28,Local-gov,336543,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K +39,Self-emp-not-inc,52870,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,316820,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +38,Local-gov,200153,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,453067,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +51,Federal-gov,27166,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,299598,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +23,Private,122048,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,345277,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,113147,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,34007,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,255014,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +34,Private,152667,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,231053,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,103651,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-inc,124137,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,198183,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,183627,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,48,Ireland,<=50K +19,Private,466458,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +45,Self-emp-not-inc,114396,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +42,Private,186376,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,72,Philippines,>50K +32,Private,290964,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1590,40,United-States,<=50K +90,Self-emp-not-inc,282095,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,244974,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K +34,Self-emp-not-inc,114691,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,107160,12th,8,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Self-emp-not-inc,142573,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K +29,Private,203833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,47791,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +49,Private,133729,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,17,United-States,<=50K +52,Self-emp-not-inc,135339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +54,Private,135803,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,60,South,>50K +31,Private,128591,9th,5,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,133853,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +18,?,137363,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +27,Self-emp-not-inc,243569,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,119156,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,391114,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,252506,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +34,State-gov,117503,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,Italy,<=50K +25,State-gov,117833,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,19,United-States,<=50K +39,Private,294183,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,394927,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,259323,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +21,?,207988,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,35,United-States,<=50K +33,Private,96635,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,26,South,<=50K +27,Private,192283,Assoc-voc,11,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,38,United-States,<=50K +29,Private,214881,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,State-gov,167474,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,110713,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +20,Private,201204,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,197666,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,162002,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +31,Private,263561,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,45,United-States,>50K +41,Private,224799,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,89942,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,238685,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +54,Private,38795,9th,5,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +55,Private,90414,Bachelors,13,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,55,Ireland,<=50K +21,Private,190805,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +52,Private,23780,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +19,Private,285263,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,177331,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +22,Private,347530,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +59,Private,230039,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,625,38,United-States,<=50K +17,?,210547,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,204752,12th,8,Never-married,Sales,Own-child,White,Male,0,0,32,United-States,<=50K +74,Self-emp-not-inc,104001,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +45,Private,253116,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,169037,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Self-emp-inc,202027,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,170099,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,212847,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,85,United-States,<=50K +50,State-gov,307392,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,233428,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Private,355728,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,1980,45,England,<=50K +52,Private,177995,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,Mexico,>50K +24,Private,283613,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +56,Self-emp-inc,184598,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +27,Private,185647,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +47,Self-emp-inc,192894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +40,Self-emp-not-inc,284706,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,1977,60,United-States,>50K +38,Private,179579,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,131679,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,132973,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +22,Private,154713,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,121718,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +30,Private,255279,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +55,Private,202559,Bachelors,13,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,35,Philippines,<=50K +25,Private,123095,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,1590,40,United-States,<=50K +32,Private,153326,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +28,Private,75695,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +33,Self-emp-inc,206609,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,234780,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +27,Private,178778,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,171355,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K +63,Federal-gov,95680,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K +39,Private,196673,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,5013,0,40,United-States,<=50K +51,Federal-gov,73670,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,52,United-States,>50K +67,Self-emp-not-inc,139960,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,397280,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,?,<=50K +27,Private,60374,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Female,0,1594,26,United-States,<=50K +54,Private,421561,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +59,Private,245196,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +18,Private,27620,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +19,Private,187570,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,102884,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,228399,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,7,United-States,<=50K +42,Private,340234,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,15024,0,40,United-States,>50K +37,Private,176293,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +51,Local-gov,108435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,161187,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2463,0,40,United-States,<=50K +23,Private,278391,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,157941,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,182866,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +69,Private,370888,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,2964,0,6,Germany,<=50K +30,Private,206512,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K +33,Private,357954,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,India,<=50K +28,Private,189346,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,48,United-States,<=50K +45,Private,234652,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +25,Private,113436,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +37,Private,204145,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +59,Private,157305,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K +26,Private,104045,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +48,Private,280422,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,25,Peru,<=50K +64,Federal-gov,173754,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,211154,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,321435,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,State-gov,177083,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Private,178829,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +35,Federal-gov,287658,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +43,Private,209894,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +31,Private,334744,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,306967,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +35,Private,52187,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,101978,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +35,State-gov,483530,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,77357,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Private,149770,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,328606,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,14084,0,63,United-States,>50K +70,?,172652,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +46,Private,188293,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,116608,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,38,United-States,<=50K +37,State-gov,348960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +24,Private,329530,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Mexico,<=50K +47,Local-gov,93476,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +35,Self-emp-not-inc,195744,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +43,Private,125833,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +18,State-gov,191117,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +54,Private,311020,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +62,Private,210464,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,38,United-States,<=50K +36,Private,135289,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +27,Private,156266,9th,5,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +23,Private,154210,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,14,Puerto-Rico,<=50K +61,?,160625,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,4386,0,15,United-States,>50K +39,Self-emp-not-inc,331481,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Male,0,1669,60,?,<=50K +33,Self-emp-not-inc,249249,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +28,Private,261725,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K +22,Private,239612,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +31,Self-emp-not-inc,226696,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +26,Private,190330,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +44,Private,193755,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +73,Private,192740,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +44,Private,201924,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +35,Private,77146,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,126414,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,?,<=50K +27,Private,43652,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,227244,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K +29,Private,160731,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +33,Private,287878,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,26,United-States,<=50K +50,Private,166758,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Private,183811,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,2829,0,40,United-States,<=50K +41,Self-emp-not-inc,254818,Masters,14,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,Peru,<=50K +19,?,220517,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +45,Private,295046,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +65,Private,190568,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,810,36,United-States,<=50K +42,State-gov,211915,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,295621,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,25,United-States,>50K +32,Private,204567,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +42,Private,204235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Private,186982,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +38,Private,133586,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,45,United-States,<=50K +38,Private,165930,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,164898,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +24,Private,278155,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Self-emp-not-inc,115705,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,150553,9th,5,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +29,Private,185127,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,201595,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +44,Self-emp-inc,165815,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,96,United-States,<=50K +26,Private,102420,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,40,South,<=50K +46,Local-gov,344172,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,49,United-States,>50K +38,Private,222450,Some-college,10,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,212245,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,190625,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +33,Private,203488,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,304260,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +31,Local-gov,243665,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,41,United-States,>50K +26,Self-emp-not-inc,189238,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,4,Mexico,<=50K +42,Private,77373,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +27,Private,410351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,36385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +64,Private,110150,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,198316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,127772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,199058,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +56,Private,285730,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,United-States,<=50K +25,Local-gov,334133,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +60,State-gov,97030,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +52,Private,67090,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +43,Private,397963,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,594,0,16,United-States,<=50K +46,Private,182533,Bachelors,13,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +19,Private,560804,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +56,Private,365050,7th-8th,4,Never-married,Farming-fishing,Unmarried,Black,Female,0,0,20,United-States,<=50K +22,Private,110200,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,150025,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +39,Private,299828,5th-6th,3,Separated,Sales,Unmarried,Black,Female,0,0,30,Puerto-Rico,<=50K +28,Private,109282,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,103435,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Private,34747,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,137522,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +39,Private,286789,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,211032,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +67,?,192916,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3818,0,11,United-States,<=50K +31,Private,219318,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +50,Private,112873,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,36069,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3908,0,46,United-States,<=50K +48,Private,73434,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Germany,>50K +51,Private,200576,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,172962,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,44006,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,234474,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +37,Private,212826,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,234901,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,200700,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,41258,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,249644,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,>50K +60,?,230165,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,351731,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,114765,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,349884,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +28,Self-emp-inc,204247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,143392,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,37913,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Italy,>50K +22,Self-emp-inc,150683,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,24,United-States,<=50K +27,Private,207611,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,52,United-States,<=50K +45,State-gov,319666,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +39,Private,155961,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Local-gov,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +63,?,447079,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K +24,Self-emp-inc,142404,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,155752,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K +19,?,252292,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,111450,12th,8,Never-married,Other-service,Unmarried,Black,Male,0,0,38,United-States,<=50K +20,Private,528616,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +17,Self-emp-not-inc,228786,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +63,Self-emp-inc,80572,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +28,Local-gov,180271,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,>50K +51,Federal-gov,237819,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +29,Private,157612,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,3325,0,45,United-States,<=50K +64,Private,379062,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,12,United-States,<=50K +17,Private,191910,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +45,Local-gov,326064,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,6497,0,35,United-States,<=50K +18,Private,312353,12th,8,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +31,Local-gov,213307,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,209057,Bachelors,13,Married-spouse-absent,Sales,Own-child,White,Male,0,0,50,United-States,>50K +41,Private,340148,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +65,Private,154171,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,60,United-States,>50K +27,Private,94064,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,119098,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,388496,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,8,Puerto-Rico,>50K +49,Private,181363,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +58,?,210031,HS-grad,9,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,206951,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K +25,Private,485496,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Private,210259,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,37,United-States,<=50K +31,Private,118551,9th,5,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,180911,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,37,United-States,>50K +50,State-gov,242517,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,298113,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,277783,Masters,14,Never-married,Farming-fishing,Own-child,White,Male,0,0,99,United-States,<=50K +48,Private,155862,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +51,Self-emp-not-inc,171924,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,243900,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +23,Private,231160,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +31,Private,356882,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,40,United-States,<=50K +38,Private,49020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,105460,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,England,<=50K +56,Private,157749,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +31,Private,131568,7th-8th,4,Divorced,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K +46,Private,332355,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,204501,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Local-gov,305767,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +31,Private,129761,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,130126,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +53,Private,102828,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +18,Private,160984,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +18,?,255282,11th,7,Never-married,?,Own-child,Black,Male,0,1602,48,United-States,<=50K +20,?,346341,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +27,Private,285897,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,45,United-States,>50K +31,Private,356689,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,192386,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,United-States,<=50K +46,Private,394860,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,113129,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +26,Private,55929,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,177018,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,309463,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,165468,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +24,Private,49218,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +74,Self-emp-not-inc,119129,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2149,20,United-States,<=50K +56,Self-emp-not-inc,162130,5th-6th,3,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,67,United-States,>50K +39,Federal-gov,129573,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K +21,Private,306850,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,135296,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,45,United-States,>50K +43,Self-emp-not-inc,187322,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,45,United-States,<=50K +23,Private,55674,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,2907,0,40,United-States,<=50K +26,Private,148298,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Private,34845,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,200733,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +45,Private,191858,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +30,Private,425528,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,70,United-States,<=50K +35,Private,44780,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,20,United-States,>50K +33,Private,125856,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,100508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,148294,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,39324,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,147397,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K +46,Private,24728,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,48,United-States,<=50K +36,Private,177616,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,163826,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,199947,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +26,Local-gov,386949,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +36,Self-emp-inc,116133,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,57,United-States,<=50K +56,Self-emp-not-inc,196307,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +37,Private,177181,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,324854,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +23,Private,188505,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +23,State-gov,502316,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,State-gov,26892,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,102058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +39,Private,167728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +67,Local-gov,233681,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +60,Private,26756,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +54,Private,101890,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,192337,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,>50K +47,Private,340982,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,3103,0,40,Philippines,>50K +49,State-gov,102308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +19,Private,84747,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +20,Private,197752,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +66,Private,185336,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +22,?,289984,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,25,United-States,<=50K +51,Self-emp-not-inc,125417,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +19,Private,278480,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,146412,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,193042,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +41,Private,53956,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1980,56,United-States,<=50K +90,Private,175491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,9386,0,50,Ecuador,>50K +78,?,33186,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,144154,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,194901,Prof-school,15,Divorced,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +35,Private,335777,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,Mexico,<=50K +46,Private,139268,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,Private,33887,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +24,Private,283613,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,141245,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Puerto-Rico,<=50K +49,Private,298130,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,186096,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +77,Private,187656,Some-college,10,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,Private,102308,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,United-States,>50K +41,Private,124639,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,388112,1st-4th,2,Never-married,Farming-fishing,Unmarried,White,Male,0,0,77,Mexico,<=50K +21,Private,109952,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,164529,12th,8,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,247750,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K +23,State-gov,103588,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +38,Federal-gov,248919,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,40,United-States,<=50K +29,Self-emp-not-inc,178551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,136137,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,>50K +47,Federal-gov,55377,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,>50K +39,Local-gov,177728,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Local-gov,243580,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +21,?,188535,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,63910,HS-grad,9,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +23,Private,219535,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +44,State-gov,180609,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,59313,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K +70,Private,170428,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K +51,Private,102615,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1977,40,United-States,>50K +66,Private,193132,9th,5,Separated,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +57,Self-emp-inc,124137,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,136629,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-inc,148995,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +24,?,203076,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,63424,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +43,Private,241895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,266973,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,188048,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,366929,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,214129,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,250818,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,240979,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +35,Private,98283,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,>50K +26,Private,104746,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K +39,Private,103710,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K +24,Private,159580,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,75,United-States,<=50K +45,Private,117409,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,140001,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,State-gov,31650,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,0,45,United-States,<=50K +35,State-gov,80771,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,66278,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,107801,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1617,25,United-States,<=50K +33,Private,206609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,282461,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,188246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,279763,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,25,United-States,<=50K +44,Private,467799,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,137674,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +50,Private,158284,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,204219,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +28,State-gov,210498,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +60,Federal-gov,63526,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +38,Federal-gov,216924,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,372559,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +57,Federal-gov,199114,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,2258,40,United-States,<=50K +50,Private,168539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Local-gov,189911,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +69,Local-gov,61958,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,1424,0,6,United-States,<=50K +51,State-gov,68898,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,2444,39,United-States,>50K +42,Private,204450,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +53,Private,311350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Private,113750,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,359591,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,132879,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +20,Private,301199,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +38,State-gov,267540,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +52,Private,185407,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,Poland,>50K +48,Self-emp-inc,191277,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,78980,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,241463,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,65,United-States,>50K +47,Private,216999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +33,Local-gov,120508,Bachelors,13,Divorced,Protective-serv,Unmarried,White,Female,0,0,60,Germany,<=50K +33,Private,122612,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Thailand,<=50K +20,Private,94057,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +41,State-gov,197558,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,351869,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1485,45,United-States,>50K +54,Self-emp-not-inc,121761,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K +36,Federal-gov,184556,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +46,Private,268281,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,235646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,186909,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +62,Private,35783,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,188861,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,363591,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,469921,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,51150,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,174325,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,347530,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +50,Private,72351,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Local-gov,185129,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,?,>50K +36,Private,188571,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,255252,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,291951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,223046,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Local-gov,37937,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,<=50K +38,Private,295127,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,183801,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,14,United-States,<=50K +40,Private,116218,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +40,Private,143069,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,235951,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +57,Private,112840,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +65,Local-gov,146454,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1648,4,Greece,<=50K +52,Federal-gov,43705,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +59,Private,122283,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,India,>50K +18,Private,376647,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,2176,0,25,United-States,<=50K +48,Private,101299,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +45,Private,96798,5th-6th,3,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,194654,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +27,State-gov,206889,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,226902,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +44,State-gov,150755,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,40,United-States,<=50K +24,Private,200679,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,50,United-States,<=50K +71,Private,183678,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K +17,Private,33138,12th,8,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,57071,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K +71,?,35303,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,9386,0,30,United-States,>50K +37,Private,188576,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +33,Private,169496,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,58124,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,356344,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,444134,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K +18,?,340117,11th,7,Never-married,?,Unmarried,Black,Female,0,0,50,United-States,<=50K +34,Private,219619,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,?,334585,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +27,Local-gov,331046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +46,?,443179,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +64,?,239529,11th,7,Widowed,?,Not-in-family,White,Female,3674,0,35,United-States,<=50K +24,Private,100345,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,205653,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +33,Private,112383,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,21626,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,2202,0,56,United-States,<=50K +25,Private,135568,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,190532,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +53,Federal-gov,266598,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Local-gov,116608,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +36,Private,353263,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +25,State-gov,157617,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Federal-gov,21698,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,77143,12th,8,Separated,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +18,State-gov,342852,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,176602,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,146343,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K +68,?,146645,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,20051,0,50,United-States,>50K +33,Private,221966,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,2202,0,50,United-States,<=50K +22,Private,215546,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +50,State-gov,173020,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,?,247734,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,252202,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,497300,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,426431,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,162410,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,45,United-States,>50K +77,?,143516,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K +25,Private,190350,10th,6,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,194504,Some-college,10,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Federal-gov,110884,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +26,Private,187652,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,81400,1st-4th,2,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,El-Salvador,<=50K +70,?,97831,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,4,United-States,<=50K +57,Private,180920,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +28,Private,189186,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,?,144172,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,<=50K +36,Private,607848,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K +32,Private,207301,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,293073,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +36,Private,210452,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K +19,Private,41400,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,164170,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,20,Philippines,<=50K +48,Private,112906,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +49,Self-emp-not-inc,126268,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,208311,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,20,United-States,>50K +61,Private,28291,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,82,United-States,<=50K +42,Local-gov,121998,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +42,Federal-gov,31621,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,108386,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,134727,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,208391,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,112271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,173350,Assoc-voc,11,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,243190,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,India,>50K +55,Private,185436,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +36,Private,290409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,80058,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,48,United-States,<=50K +56,Local-gov,370045,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,36936,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,40,United-States,<=50K +37,Private,231180,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,119793,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K +38,Private,102178,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +76,?,135039,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +35,?,317780,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,232840,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +35,Private,33975,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,256997,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,298301,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,310380,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Local-gov,182100,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Private,501172,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +43,State-gov,143939,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,>50K +23,Private,85088,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K +25,Private,282313,10th,6,Never-married,Handlers-cleaners,Own-child,Black,Male,0,1602,40,United-States,<=50K +39,Private,230054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +63,Private,236338,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K +37,Private,321943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Federal-gov,218782,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Other,Male,0,0,40,United-States,<=50K +33,Private,191385,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K +45,Self-emp-inc,185497,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,70,?,<=50K +28,Private,126129,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,199268,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,255693,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +34,Private,203488,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,203233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,203836,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +36,Private,187847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,116358,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +46,Self-emp-inc,198660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,72,United-States,>50K +43,Self-emp-not-inc,89636,Bachelors,13,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,60,South,<=50K +49,Private,120629,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +26,Local-gov,150226,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +28,Private,137898,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +54,Self-emp-inc,146574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Private,88725,HS-grad,9,Never-married,Craft-repair,Not-in-family,Other,Female,0,0,40,?,<=50K +24,Private,142022,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +23,Private,284898,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,United-States,<=50K +55,Local-gov,212448,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,203039,9th,5,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,227489,HS-grad,9,Never-married,Tech-support,Other-relative,Black,Male,0,0,40,?,<=50K +19,Private,105289,10th,6,Never-married,Other-service,Other-relative,Black,Female,0,0,20,United-States,<=50K +28,?,223745,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,242994,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K +30,Private,196385,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +76,Private,116202,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K +47,Private,140045,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,133503,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,2174,0,40,United-States,<=50K +40,Private,226585,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +24,Private,85041,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +30,Private,162442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,50,United-States,>50K +67,Private,279980,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,10605,0,10,United-States,>50K +24,Private,216563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +43,Local-gov,231964,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,263855,12th,8,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,124915,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,178312,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Local-gov,215862,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +21,State-gov,39236,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +58,Private,349910,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +52,Private,75839,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,176711,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,266525,Some-college,10,Never-married,Prof-specialty,Other-relative,Black,Female,594,0,20,United-States,<=50K +25,?,34307,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,331776,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,111469,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,State-gov,198965,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,288185,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,198050,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +65,Private,242580,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,11678,0,50,United-States,>50K +37,Private,173128,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,87905,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,10520,0,40,United-States,>50K +44,Private,173704,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Federal-gov,93225,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,323269,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +35,Private,158046,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,70,United-States,<=50K +32,Private,133503,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,172296,Some-college,10,Separated,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K +39,?,201105,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K +23,Private,176486,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +25,Self-emp-inc,182750,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +23,Private,82497,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K +47,Private,208872,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,145269,11th,7,Divorced,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K +25,Private,19214,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,149347,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +68,?,53850,7th-8th,4,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +50,Private,158294,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +47,Private,152073,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,189623,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +24,Private,341368,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,201603,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,2176,0,40,United-States,<=50K +35,Private,270572,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,Private,285295,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +17,Private,126779,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +49,?,202874,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,Columbia,<=50K +27,Private,373499,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,60,El-Salvador,<=50K +22,Private,244773,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +22,State-gov,96862,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,162632,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,2,United-States,<=50K +51,Self-emp-not-inc,159755,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +27,Private,37088,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,<=50K +27,Private,335421,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Never-worked,188535,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +20,State-gov,349365,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,33002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,330715,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +45,Private,146857,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +35,Private,275522,7th-8th,4,Widowed,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K +22,Private,43646,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,154548,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +28,Private,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,238397,Bachelors,13,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,24,United-States,<=50K +48,Local-gov,195949,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,>50K +22,?,354351,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,349169,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +25,Private,158662,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K +23,Local-gov,23438,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,107302,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +43,Private,174196,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Local-gov,226871,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +23,Private,124971,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,214061,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,441700,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,104892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,>50K +34,Private,234386,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Local-gov,188278,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,244395,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,30916,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +48,Private,219565,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,377486,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,36,United-States,<=50K +42,Local-gov,137232,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,50,United-States,<=50K +53,Private,233369,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,71067,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +59,Private,195176,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,<=50K +31,Private,98639,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,183778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,123011,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2559,50,United-States,>50K +25,Private,164938,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,4416,0,40,United-States,<=50K +28,?,147471,HS-grad,9,Divorced,?,Own-child,White,Female,0,0,10,United-States,<=50K +30,Private,206046,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +46,Private,81497,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K +45,Private,189225,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,141264,Some-college,10,Never-married,Exec-managerial,Other-relative,Black,Female,0,0,40,United-States,<=50K +33,Private,97939,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,42,United-States,<=50K +44,Private,160829,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,20,United-States,>50K +25,Private,483822,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K +48,State-gov,148738,Some-college,10,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,289982,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,58702,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,50,United-States,>50K +20,Private,146706,Some-college,10,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,30,United-States,<=50K +23,Private,420973,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +71,Private,124959,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,State-gov,121471,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,198237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +27,Private,280758,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K +40,Private,191544,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,261023,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,50,United-States,<=50K +30,State-gov,231043,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,340917,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,167140,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +39,Private,370795,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Federal-gov,209609,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +74,Private,209454,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,78530,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +25,Private,88922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +64,Private,86972,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,165468,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +37,Private,134367,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,37,United-States,>50K +47,Private,199058,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,183612,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +40,Private,191982,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +22,Private,514033,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,80,United-States,<=50K +56,Private,172364,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,190105,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K +30,Self-emp-inc,119422,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +20,Private,236592,12th,8,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,Italy,<=50K +53,State-gov,43952,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,38,United-States,>50K +43,Private,194636,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +23,Private,235853,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,150528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,213722,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,41432,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,46,United-States,<=50K +22,Private,285775,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,470663,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +54,Self-emp-not-inc,114520,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,113466,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,224559,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +59,Private,186385,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,?,167094,10th,6,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,?,216508,12th,8,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +41,Local-gov,384236,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,181265,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +58,Private,190997,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,98287,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,103456,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +28,Private,184723,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,1980,35,United-States,<=50K +25,Private,165622,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +29,Private,101597,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K +53,Private,146378,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Local-gov,152163,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +26,State-gov,106812,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,148211,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,3674,0,50,United-States,<=50K +45,Private,187581,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,135296,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +72,Local-gov,144515,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1258,40,United-States,<=50K +51,Private,210736,10th,6,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,210165,9th,5,Married-spouse-absent,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,224584,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,80771,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Private,164733,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,41,United-States,<=50K +31,Self-emp-not-inc,119411,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K +68,Local-gov,177596,10th,6,Separated,Other-service,Not-in-family,Black,Female,0,0,90,United-States,<=50K +43,?,396116,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,185251,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,173590,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,3,United-States,<=50K +56,Federal-gov,196307,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,?,293091,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K +36,Private,175232,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +21,Private,51047,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,Private,334618,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Female,99999,0,40,United-States,>50K +52,Local-gov,152795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,205601,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K +52,Private,129177,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,2824,20,United-States,>50K +51,Self-emp-not-inc,121548,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +29,Private,244566,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,75073,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,55,United-States,<=50K +29,Private,179008,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,170800,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +58,Private,373344,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,127961,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,99392,Some-college,10,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K +30,Private,392812,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,Germany,<=50K +29,Private,262478,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K +48,Self-emp-not-inc,32825,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,167380,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,203204,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K +35,Federal-gov,105138,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +54,Private,145714,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,25,United-States,>50K +24,Private,182276,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +20,Private,275385,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,292472,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,55,United-States,>50K +19,Self-emp-not-inc,73514,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K +26,Private,199600,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,111499,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,99,United-States,>50K +25,Private,202560,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,99309,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +60,Local-gov,124987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +30,Private,287986,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,119411,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,198668,7th-8th,4,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,117583,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,234664,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,?,114357,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,176949,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K +33,Private,189710,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K +65,Private,205309,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,<=50K +34,Private,195576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,216825,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,Mexico,<=50K +23,?,329174,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,197036,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,181291,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1564,50,United-States,>50K +31,Private,206512,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +28,State-gov,38309,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,6849,0,40,United-States,<=50K +37,Private,312766,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,139671,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +66,Federal-gov,38621,Assoc-voc,11,Widowed,Other-service,Unmarried,Black,Female,3273,0,40,United-States,<=50K +31,Private,124827,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,77820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Federal-gov,56904,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5013,0,45,United-States,<=50K +45,Private,190115,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +44,Private,106682,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +32,Local-gov,42596,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,143058,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +53,Private,102615,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,Canada,<=50K +54,Private,139703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,Germany,>50K +43,Private,240124,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,132565,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +49,Private,323798,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,3325,0,50,United-States,<=50K +52,Private,96359,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K +20,Private,165201,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,4,United-States,<=50K +60,Federal-gov,165630,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +45,Private,264526,Assoc-acdm,12,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,102359,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +28,Private,37359,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +61,?,232618,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,115497,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,157747,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +27,Self-emp-not-inc,41099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +38,Private,472604,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K +33,Private,348618,5th-6th,3,Married-spouse-absent,Transport-moving,Unmarried,Other,Male,0,0,20,El-Salvador,<=50K +43,Private,135606,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +36,Private,248445,HS-grad,9,Separated,Transport-moving,Other-relative,White,Male,0,0,60,Mexico,<=50K +38,Private,112093,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,197552,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,303822,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,288566,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,?,487411,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,43348,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +39,State-gov,239409,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,337606,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1485,40,United-States,<=50K +34,Private,32528,Assoc-voc,11,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,974,40,United-States,<=50K +47,State-gov,118447,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +46,Private,234690,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,?,141003,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +43,Private,216042,Some-college,10,Divorced,Tech-support,Own-child,White,Female,0,1617,72,United-States,<=50K +45,Private,190482,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +55,Private,381965,Bachelors,13,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +68,Private,186943,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +39,Private,142707,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,53447,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,127772,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,344414,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,194138,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +49,?,558183,Assoc-voc,11,Married-spouse-absent,?,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,150154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,306114,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +72,?,177121,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K +58,Local-gov,368797,Masters,14,Widowed,Prof-specialty,Unmarried,White,Male,0,0,35,United-States,>50K +43,Self-emp-inc,175715,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,<=50K +62,Private,416829,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,21,United-States,<=50K +21,Private,350001,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,339952,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,114967,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,164190,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,38,United-States,>50K +49,Local-gov,166039,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,250135,HS-grad,9,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,234960,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1887,48,United-States,>50K +29,Private,103628,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +58,Private,430005,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +45,Self-emp-inc,106517,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,162236,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,92430,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Local-gov,40641,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +47,Private,169388,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +36,Local-gov,410034,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +48,Private,237525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,65,United-States,>50K +35,Private,150057,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,148549,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +43,Private,75742,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,177675,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K +49,Local-gov,193249,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,266072,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,20,El-Salvador,<=50K +28,?,80165,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +25,Private,339324,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,?,111238,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +41,Self-emp-not-inc,284086,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,206051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +57,Private,426263,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +49,Private,102583,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,44,United-States,>50K +40,Private,277647,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Private,124808,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,Germany,>50K +47,Private,193061,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,Private,121411,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,89202,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +17,Private,232900,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +30,Local-gov,319280,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +79,?,165209,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,193494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +67,Self-emp-not-inc,195066,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,99146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +35,Private,92028,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,174419,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,57916,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,383384,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,198223,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K +20,Private,109813,11th,7,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +17,Private,174298,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,45687,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,4787,0,50,United-States,>50K +28,Private,263614,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,96128,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,220262,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,35340,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,280483,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,254211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +29,Private,351324,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,58602,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +37,Private,64922,Bachelors,13,Separated,Other-service,Not-in-family,White,Male,0,0,70,England,<=50K +41,Federal-gov,185616,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1980,40,United-States,<=50K +43,Private,185832,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +24,Private,254767,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,50,United-States,<=50K +39,Federal-gov,32312,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +47,Self-emp-not-inc,109421,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,183205,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Private,156897,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,2258,42,United-States,>50K +48,Local-gov,145886,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +47,Local-gov,29819,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,50,United-States,>50K +27,Private,244566,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,253801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Ecuador,<=50K +22,Private,181313,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +37,State-gov,150566,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +38,Private,237713,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,112137,Preschool,1,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,4508,0,40,Cambodia,<=50K +48,Local-gov,187969,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,80,United-States,<=50K +46,Self-emp-not-inc,224108,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +51,Private,174754,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K +28,Self-emp-inc,219705,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,55,United-States,<=50K +35,Private,167062,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,190325,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +45,Private,108859,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,344351,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +73,Private,153127,Some-college,10,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,10,United-States,<=50K +52,Private,180881,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,183066,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +29,Federal-gov,339002,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,185480,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,?,>50K +20,Private,172047,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +42,Private,94600,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +37,Private,302604,Some-college,10,Separated,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +40,Private,248094,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,36467,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +29,Private,53181,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +20,Private,181032,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,248990,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +25,Private,40512,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,3674,0,30,United-States,<=50K +37,Private,117381,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,80,United-States,>50K +18,?,173125,12th,8,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K +33,?,316663,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,50,United-States,<=50K +26,Private,154966,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +24,Private,198259,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,167939,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,131275,HS-grad,9,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,?,236523,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,272950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,174503,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,116800,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K +38,Private,110713,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +50,Private,202044,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +44,Private,300528,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Private,54985,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +57,Private,133126,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Private,74593,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +44,Private,302424,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,55,United-States,<=50K +21,Private,344492,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +31,Private,349148,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,222221,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,42,United-States,>50K +45,Private,234699,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,60,United-States,>50K +20,Local-gov,243178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,189728,HS-grad,9,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Self-emp-not-inc,318593,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +41,Private,108681,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,187376,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +41,State-gov,75409,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Private,172581,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +49,Private,266150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +65,Private,271092,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,?,<=50K +50,Private,135643,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Female,0,0,40,China,<=50K +59,Private,46466,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +18,Private,130652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +47,Local-gov,114459,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +47,?,109832,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,5178,0,30,Canada,>50K +45,Private,195554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +17,Private,244589,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,271901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,>50K +73,Private,139978,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,180446,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +64,?,178724,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +38,State-gov,341643,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +37,Federal-gov,289653,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +62,Self-emp-inc,118725,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,20051,0,72,United-States,>50K +26,Private,187891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,116338,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +46,Private,102771,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +51,Private,89652,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,4787,0,24,United-States,>50K +54,Federal-gov,439608,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,330144,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,251905,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,218955,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,188972,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,10,Canada,<=50K +60,Self-emp-not-inc,25825,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +33,Private,202046,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,2001,40,United-States,<=50K +62,Private,116104,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,Germany,<=50K +20,Private,194891,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,125550,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,14084,0,35,United-States,>50K +66,Private,116468,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,2936,0,20,United-States,<=50K +32,?,285131,Assoc-acdm,12,Never-married,?,Unmarried,White,Male,0,0,20,United-States,<=50K +29,State-gov,409201,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +70,Self-emp-inc,379819,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,10566,0,40,United-States,<=50K +74,Private,97167,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,<=50K +37,Local-gov,244803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +51,Self-emp-not-inc,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,118058,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,258589,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +26,Private,158810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +27,Local-gov,92431,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,2231,40,United-States,>50K +58,Self-emp-not-inc,165695,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,<=50K +30,?,97281,Some-college,10,Separated,?,Not-in-family,White,Male,0,0,60,United-States,<=50K +32,Private,244147,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,50,United-States,<=50K +66,Self-emp-inc,253741,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1825,10,United-States,>50K +23,Private,170482,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +35,Private,241001,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +50,Private,165001,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +17,?,297117,11th,7,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,340260,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K +31,Private,96480,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,185177,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,49,United-States,<=50K +84,Self-emp-inc,172907,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +35,Self-emp-not-inc,308874,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,54098,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +46,Private,288608,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,254148,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +37,Private,111128,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,171116,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +53,Self-emp-inc,96062,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,48,United-States,>50K +27,Federal-gov,276776,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +22,Private,152878,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,149211,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,58343,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +38,Private,127601,Some-college,10,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,35,United-States,<=50K +29,Private,357781,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,137367,Some-college,10,Never-married,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,44,Philippines,<=50K +34,Private,110978,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +31,Private,34503,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,84119,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +20,Private,223515,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,372525,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,0,0,48,United-States,<=50K +32,Private,116365,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +36,Private,111268,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,225599,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7298,0,40,India,>50K +78,?,83511,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,Portugal,<=50K +46,Self-emp-not-inc,199596,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +18,Private,301867,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +57,Private,191983,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,105803,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,456236,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,116255,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +32,Private,235109,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,91716,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,121102,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,2001,30,United-States,<=50K +70,Private,235781,Some-college,10,Divorced,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +40,Private,136986,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-not-inc,33658,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,53878,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,200928,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,173736,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +28,Private,214385,Assoc-voc,11,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +58,Private,102509,10th,6,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,50,United-States,<=50K +38,Private,173047,Bachelors,13,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,213,40,Philippines,<=50K +59,Self-emp-not-inc,241297,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,6849,0,40,United-States,<=50K +18,Private,329054,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +40,Private,274158,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,241153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,200117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1887,50,?,>50K +45,Private,229516,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,72,Mexico,<=50K +62,?,250091,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +24,State-gov,247075,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K +22,Private,315524,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,30,Dominican-Republic,<=50K +23,Private,126945,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,29874,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K +28,Private,115579,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K +51,Private,29580,11th,7,Married-civ-spouse,Sales,Husband,White,Male,4386,0,30,United-States,>50K +44,Private,56483,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +73,?,89852,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,0,0,40,Portugal,<=50K +24,Private,420779,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,35,United-States,<=50K +24,Private,255474,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,241444,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,50,Puerto-Rico,<=50K +43,Private,85995,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Self-emp-inc,116986,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +31,Private,217962,12th,8,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,?,<=50K +36,Private,20507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +43,Private,184099,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,117816,7th-8th,4,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,70,United-States,<=50K +23,Private,263899,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,Haiti,<=50K +26,Private,45869,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,186539,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,326310,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +55,Local-gov,84564,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K +49,Private,247294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +34,Private,72793,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +29,Private,261375,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,60,United-States,<=50K +50,Private,77905,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +19,Private,66838,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,9,United-States,<=50K +63,State-gov,194682,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +66,Private,180211,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K +65,?,79272,Some-college,10,Widowed,?,Not-in-family,Asian-Pac-Islander,Female,0,0,6,United-States,<=50K +60,Private,101198,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +60,Private,80574,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +19,Private,198663,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +26,Self-emp-inc,160340,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +75,Self-emp-not-inc,205860,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1735,40,United-States,<=50K +58,State-gov,69579,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +18,Self-emp-not-inc,379242,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +65,Private,113323,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,3818,0,40,United-States,<=50K +50,Self-emp-not-inc,312477,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +26,Private,259505,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,171335,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +19,?,541282,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +29,Federal-gov,155970,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +52,Private,99682,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,52,Canada,>50K +23,Private,117789,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,296158,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +48,Local-gov,78859,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +59,?,188070,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K +50,Private,189811,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,518030,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,1590,40,Puerto-Rico,<=50K +32,Private,360593,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +40,Private,145504,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +19,Private,459248,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +30,?,288419,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K +42,State-gov,126094,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Male,0,0,39,United-States,<=50K +23,Private,209483,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +37,Self-emp-not-inc,32239,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,27828,0,40,United-States,>50K +21,Private,210355,11th,7,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,24,United-States,<=50K +28,Private,84547,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +50,?,260579,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,105585,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +21,Private,132320,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +21,Private,129172,Some-college,10,Never-married,Other-service,Other-relative,White,Male,0,0,16,United-States,<=50K +45,Self-emp-not-inc,222374,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,201498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,251675,Some-college,10,Divorced,Sales,Not-in-family,White,Male,8614,0,50,Cuba,>50K +41,Private,114157,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +48,Local-gov,148121,Bachelors,13,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +73,?,84053,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +34,Private,96480,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,179423,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +58,State-gov,123329,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +41,Private,134130,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +53,Private,188644,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +40,Private,226388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,209205,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +32,Private,209808,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,47,United-States,<=50K +44,Self-emp-inc,56236,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,2202,0,45,United-States,<=50K +18,Private,28648,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +37,State-gov,34996,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,281422,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K +22,Private,214716,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,314177,10th,6,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +51,Private,112310,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +63,Private,203783,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,72,United-States,<=50K +29,Private,205499,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,48,United-States,>50K +44,Private,155701,7th-8th,4,Separated,Other-service,Unmarried,White,Female,0,0,38,Peru,<=50K +37,State-gov,186934,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +62,Federal-gov,209433,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +31,Private,80933,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +20,Private,102607,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,254809,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,1594,32,United-States,<=50K +24,Self-emp-not-inc,102942,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +56,State-gov,175057,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,68781,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,108594,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,98283,Prof-school,15,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,1564,40,India,>50K +39,Private,56269,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,152503,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,45,United-States,<=50K +38,Self-emp-inc,206951,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +23,Private,82393,9th,5,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +37,Private,167396,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K +30,Self-emp-not-inc,123397,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +58,?,147653,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,36,United-States,<=50K +42,Private,118652,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,114401,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,1504,19,United-States,<=50K +45,Private,186272,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7298,0,40,United-States,>50K +46,Private,182689,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,231016,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,37,United-States,<=50K +41,Self-emp-inc,60949,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +49,Private,129513,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +37,Private,84306,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,117507,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,88050,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,6,United-States,<=50K +22,Private,305498,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,33,United-States,<=50K +17,Private,295308,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,114459,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,176017,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K +39,Private,248445,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +23,Private,214542,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,384508,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Federal-gov,403489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +52,Private,143953,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +21,Private,254904,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K +33,Private,98995,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,36,United-States,<=50K +17,?,237078,11th,7,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +41,Private,193995,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +19,Private,205829,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +38,Federal-gov,205852,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,>50K +24,Private,37072,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,275338,Bachelors,13,Divorced,Sales,Unmarried,White,Female,1151,0,40,United-States,<=50K +39,State-gov,122353,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +19,Private,100009,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +31,?,37030,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +42,Private,135056,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,135162,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,?,<=50K +29,Private,280618,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,226717,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +47,Local-gov,173938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +24,Private,291355,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +61,Federal-gov,160155,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,29762,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +31,?,82473,9th,5,Divorced,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +59,Private,172071,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,38,Jamaica,<=50K +29,Private,166210,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K +26,Private,330263,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,247043,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +56,Federal-gov,155238,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +25,Private,130557,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,56986,12th,8,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +29,Private,220692,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,Private,121650,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K +67,Private,174603,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Private,341846,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,99339,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,880,40,United-States,<=50K +32,Private,34437,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,141058,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,62,Mexico,<=50K +49,Private,192323,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,117674,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +39,Private,28572,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,120277,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,164309,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +47,Federal-gov,102771,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,147951,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,1,United-States,<=50K +23,Private,188409,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,25,United-States,<=50K +44,Private,173888,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,>50K +25,Private,247006,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,82889,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +52,Private,259363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +62,Federal-gov,159165,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +31,Private,112062,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,299050,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +22,?,186452,Some-college,10,Never-married,?,Own-child,White,Male,0,0,36,United-States,<=50K +53,Private,548580,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K +25,Private,234057,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,241350,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Private,108196,9th,5,Never-married,Craft-repair,Other-relative,White,Male,2993,0,40,United-States,<=50K +49,Private,278322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,157443,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,27,Taiwan,>50K +44,Self-emp-not-inc,37618,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +56,Local-gov,238582,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,>50K +37,State-gov,28887,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +37,Private,77820,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +22,Private,110946,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Local-gov,230420,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,206521,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,?,156877,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Local-gov,283227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +28,Private,141957,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,58337,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,35,?,<=50K +73,Local-gov,161027,5th-6th,3,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,20,United-States,<=50K +37,Self-emp-not-inc,31670,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,205844,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,65,United-States,<=50K +30,State-gov,46144,HS-grad,9,Married-AF-spouse,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +38,Private,168055,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,98350,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +69,?,182668,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,>50K +43,Private,208613,Prof-school,15,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,99999,0,40,United-States,>50K +42,Private,334522,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +54,State-gov,187686,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +27,State-gov,365916,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,58,United-States,<=50K +39,Private,190719,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,218184,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +30,Private,222162,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,66,United-States,<=50K +30,Private,148524,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2057,40,United-States,<=50K +37,Private,267085,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Federal-gov,307555,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +36,Private,229180,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,Cuba,<=50K +22,Private,279041,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,10,United-States,<=50K +21,Private,312017,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,54782,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1579,42,United-States,<=50K +76,Private,70697,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +22,?,263970,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K +37,Private,188774,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,302770,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,183639,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,97,United-States,<=50K +29,Private,178551,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,175343,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +73,Self-emp-not-inc,190078,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +43,Private,117627,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +39,Private,108419,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +74,Private,183701,10th,6,Widowed,Other-service,Not-in-family,Black,Female,0,0,6,United-States,<=50K +27,State-gov,208406,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,148884,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +90,Private,87285,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +47,Private,199058,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Private,173628,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +69,Private,370837,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,179484,12th,8,Never-married,?,Own-child,Other,Male,0,0,40,United-States,<=50K +23,Private,342769,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,20,United-States,<=50K +44,Local-gov,65145,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +41,Private,150533,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2829,0,40,United-States,<=50K +47,Local-gov,272182,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Private,403467,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7688,0,40,United-States,>50K +33,Private,252168,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,80430,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,189623,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,60,United-States,<=50K +43,Private,115806,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,2547,40,United-States,>50K +18,?,28357,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,226084,HS-grad,9,Widowed,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +18,Private,150817,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +27,Self-emp-inc,190911,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +27,Self-emp-inc,120126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +45,Local-gov,255559,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +79,?,142370,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +24,Private,173679,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +25,Private,35854,Some-college,10,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,82161,10th,6,Widowed,Transport-moving,Unmarried,White,Male,0,0,35,United-States,<=50K +63,Self-emp-not-inc,129845,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,226505,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,46,United-States,>50K +47,Private,151584,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +42,Private,136419,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +42,Private,66460,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +63,Local-gov,379940,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Local-gov,102936,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +65,Private,205309,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +30,?,156890,10th,6,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K +62,Private,208711,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +46,Private,137547,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +23,Private,220168,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,25,Jamaica,<=50K +47,Local-gov,37672,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K +20,Private,196643,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +21,?,355686,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +28,Private,197484,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +61,Local-gov,115023,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +30,State-gov,234824,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,72,United-States,<=50K +30,State-gov,361497,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +29,Private,351871,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +39,Private,324231,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,123490,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +32,Private,188245,11th,7,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,Private,50349,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +19,Self-emp-not-inc,47176,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,15,United-States,<=50K +57,State-gov,290661,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +41,Private,221172,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,188950,Assoc-voc,11,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,356882,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +43,Self-emp-inc,150533,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +64,Self-emp-not-inc,167149,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +56,Private,301835,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,313729,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,130957,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,197732,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +17,Private,250541,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +29,Private,218785,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,65,United-States,<=50K +23,?,232512,HS-grad,9,Separated,?,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,194630,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,38721,HS-grad,9,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,22,United-States,<=50K +36,Private,201519,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +50,Private,279337,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +41,?,27187,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,2415,12,United-States,>50K +31,Private,87560,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K +71,?,100820,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,2489,15,United-States,<=50K +56,Private,208431,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,32,United-States,<=50K +51,Private,143822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +20,Private,163205,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +53,Private,171924,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14344,0,55,United-States,>50K +33,State-gov,137616,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,35,United-States,<=50K +27,Private,156516,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,2377,20,United-States,<=50K +40,Private,119101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +45,Private,117556,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,32,United-States,<=50K +54,Private,147863,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,5013,0,40,Vietnam,<=50K +33,Self-emp-not-inc,24504,HS-grad,9,Separated,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +27,?,157624,HS-grad,9,Separated,?,Other-relative,White,Female,0,0,40,United-States,<=50K +36,Private,181721,10th,6,Never-married,Farming-fishing,Own-child,Black,Male,0,0,60,United-States,<=50K +42,Local-gov,55363,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +33,Private,92865,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,258633,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,?,<=50K +52,Federal-gov,221532,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +41,Local-gov,183224,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Taiwan,>50K +30,Private,381153,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,300871,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,33710,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K +26,Private,158333,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Columbia,<=50K +36,Private,288103,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,108907,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +46,Private,358533,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +24,Private,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K +30,Private,164190,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,52,United-States,>50K +38,Private,199816,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,98228,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +41,Local-gov,129060,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,22245,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Private,226918,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,48,United-States,<=50K +47,Private,398652,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +59,Private,268840,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,16,United-States,>50K +35,?,103710,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,16,?,<=50K +59,Private,91384,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +52,Private,174767,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +37,Self-emp-inc,126675,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +52,Private,82285,Bachelors,13,Married-spouse-absent,Other-service,Other-relative,Black,Female,0,0,40,Haiti,<=50K +51,Private,177727,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +67,Self-emp-not-inc,345236,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +58,?,347692,11th,7,Divorced,?,Not-in-family,Black,Male,0,0,15,United-States,<=50K +68,Private,156000,10th,6,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +71,Private,228806,9th,5,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,6,United-States,<=50K +49,Local-gov,184428,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,102938,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,161063,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,253752,10th,6,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,274800,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,129804,9th,5,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +22,Federal-gov,65547,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,United-States,<=50K +57,Private,161097,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,26,United-States,<=50K +18,Private,118376,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +32,Private,131224,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,120985,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,215392,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,63685,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,Cambodia,<=50K +48,Private,131826,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +39,Private,211440,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +35,Private,31023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,145439,5th-6th,3,Married-civ-spouse,Other-service,Husband,Other,Male,4064,0,40,Mexico,<=50K +19,Private,255161,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +28,Private,411950,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,275818,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,1974,40,United-States,<=50K +18,Private,318082,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +23,Local-gov,287988,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Local-gov,138342,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,3411,0,40,El-Salvador,<=50K +42,Federal-gov,115932,Bachelors,13,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,60358,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,140117,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +34,Private,158040,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Self-emp-inc,321990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,?,>50K +29,Private,232784,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,349368,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +46,Federal-gov,325573,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Private,140176,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +50,Private,128478,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +19,?,318264,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +59,Private,147989,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +45,Federal-gov,155659,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,288433,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Federal-gov,329205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +64,Private,171373,11th,7,Widowed,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,228860,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,196116,Prof-school,15,Divorced,Prof-specialty,Own-child,White,Female,2174,0,72,United-States,<=50K +17,Private,47771,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,201680,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,60,United-States,<=50K +28,Private,337378,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,246449,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,3325,0,50,United-States,<=50K +48,Private,227714,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,177285,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,38,United-States,<=50K +38,Private,71701,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,Portugal,<=50K +49,Private,30219,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1669,40,United-States,<=50K +42,Private,280167,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-inc,27408,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,167031,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K +41,Private,173682,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,278557,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,113688,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Self-emp-not-inc,252986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Private,33669,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +56,Private,100776,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +47,Self-emp-not-inc,177457,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +30,State-gov,312767,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Private,43354,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Self-emp-inc,375422,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,South,<=50K +49,Self-emp-not-inc,263568,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +67,?,74335,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,10,Germany,<=50K +26,Private,302097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,48,United-States,<=50K +35,Private,248010,Bachelors,13,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +37,?,87369,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,405577,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,State-gov,167065,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,102476,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Federal-gov,526528,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,3887,0,40,United-States,<=50K +32,Private,175878,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +55,Private,213894,11th,7,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +17,Private,150262,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,75363,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,272671,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +67,Self-emp-inc,411007,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,15831,0,40,United-States,>50K +44,Private,222434,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,180246,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +25,Private,171236,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,367037,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,304651,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +62,Private,97017,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +20,Private,146879,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,2001,40,United-States,<=50K +45,State-gov,320818,Some-college,10,Married-spouse-absent,Other-service,Other-relative,Black,Male,0,0,40,Haiti,<=50K +47,Self-emp-not-inc,84735,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +49,Private,184428,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,326886,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,?,169624,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,37,United-States,<=50K +29,Private,212102,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +23,Private,175837,11th,7,Never-married,Farming-fishing,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K +50,Private,177487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,286750,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1902,40,United-States,>50K +44,Private,171424,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,194981,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,36,United-States,<=50K +73,Private,199362,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,204226,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,State-gov,72506,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +61,Self-emp-inc,61040,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,36,United-States,>50K +37,Federal-gov,194630,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,391867,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,94080,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,289405,11th,7,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,12,United-States,<=50K +30,Private,170130,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,158118,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,1719,40,United-States,<=50K +30,Private,447739,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +90,?,39824,HS-grad,9,Widowed,?,Not-in-family,White,Male,401,0,4,United-States,<=50K +76,?,312500,5th-6th,3,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,223342,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1504,35,United-States,<=50K +65,?,293385,Preschool,1,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K +25,Private,106377,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,66118,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,274883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,123773,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Local-gov,70655,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +49,Private,177426,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,200374,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +19,State-gov,159269,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,235894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +34,Local-gov,97723,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,167309,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,98106,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Federal-gov,22201,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K +45,Private,108993,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,265954,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,100960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,170092,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +54,Private,326156,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,216932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +69,Private,36956,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,50,United-States,>50K +24,Private,214014,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,99872,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +61,State-gov,151459,10th,6,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K +57,Self-emp-inc,161662,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +56,Private,367200,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Private,86648,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +51,Local-gov,168539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,140741,11th,7,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +25,Private,197651,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,43,United-States,<=50K +46,Private,123053,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K +23,Private,330571,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +44,Private,204235,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,State-gov,346766,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,?,257250,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,163396,Some-college,10,Never-married,Tech-support,Not-in-family,Other,Female,0,0,40,United-States,<=50K +78,?,135839,HS-grad,9,Widowed,?,Not-in-family,White,Female,1086,0,20,United-States,<=50K +18,Private,36251,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +40,Private,149102,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,2174,0,60,Poland,<=50K +61,?,222395,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,29152,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +33,Private,79303,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,272338,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +55,State-gov,200497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +19,Private,148392,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +31,Private,164243,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +43,State-gov,129298,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Local-gov,174981,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,47,United-States,>50K +48,Local-gov,328610,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,77774,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,34,United-States,<=50K +38,State-gov,134069,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +35,Private,209214,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,4386,0,35,United-States,>50K +29,Private,153805,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Ecuador,<=50K +27,Private,168827,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,2,United-States,<=50K +31,Private,373432,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +26,Private,57600,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,302847,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,227594,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +32,Federal-gov,44777,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,46,United-States,<=50K +54,?,133963,HS-grad,9,Widowed,?,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,279615,Bachelors,13,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,276133,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,136314,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,204410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,44,United-States,>50K +59,Self-emp-inc,223215,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +43,Private,184625,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +34,Self-emp-inc,265917,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,158647,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,22055,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +41,Local-gov,176716,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,270721,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,32,United-States,<=50K +24,Private,100321,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +35,Private,79050,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,72,United-States,<=50K +40,Local-gov,42703,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +46,Private,116952,7th-8th,4,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K +45,Private,331643,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Private,207937,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1092,40,United-States,<=50K +68,Private,223486,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,7,England,<=50K +33,Private,340332,Bachelors,13,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K +23,Private,184813,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +42,Self-emp-not-inc,32185,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +30,Private,197886,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +35,State-gov,248374,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,382499,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +36,State-gov,108320,Masters,14,Divorced,Prof-specialty,Unmarried,White,Male,5455,0,30,United-States,<=50K +46,Self-emp-inc,161386,9th,5,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K +49,Local-gov,110172,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,144032,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,224426,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,38,United-States,<=50K +37,Private,230408,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +50,Local-gov,20795,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +20,Private,174714,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +59,State-gov,398626,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,45,United-States,>50K +30,Private,149531,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,34113,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +44,Local-gov,323790,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +28,Private,331381,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,160647,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Ireland,>50K +34,Private,339142,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,164857,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K +33,Local-gov,267859,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,167725,Bachelors,13,Married-spouse-absent,Transport-moving,Not-in-family,Other,Male,0,0,84,India,<=50K +49,Federal-gov,586657,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +67,Self-emp-not-inc,105907,1st-4th,2,Widowed,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +23,Private,200677,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,193882,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +54,Private,138026,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +49,Private,122385,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,49020,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +26,Private,283715,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,286406,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K +36,Private,166416,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,156334,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,45607,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +40,Local-gov,112362,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,200419,Assoc-acdm,12,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,State-gov,341638,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,?,34161,12th,8,Separated,?,Unmarried,White,Female,0,0,30,United-States,<=50K +50,Self-emp-not-inc,127151,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,Canada,>50K +52,Private,321959,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +51,Local-gov,35211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +19,Private,214935,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,132130,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +57,Private,222247,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,165799,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +30,Private,257874,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,357173,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,State-gov,305739,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,172047,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,110677,Some-college,10,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +21,?,405684,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,35,Mexico,<=50K +60,Private,82388,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +45,Private,289230,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,>50K +26,Private,101812,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,5721,0,40,United-States,<=50K +49,State-gov,336509,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,383402,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +47,Private,328216,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +40,Private,280362,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +34,Private,212064,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,7443,0,35,United-States,<=50K +42,Private,173704,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,433375,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K +63,Self-emp-not-inc,106551,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,22418,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,54816,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,358199,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +43,Private,190044,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,97698,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,32,United-States,<=50K +56,Private,53366,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,236136,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,326232,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +34,Private,581071,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,>50K +40,Private,220589,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,161463,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +44,Private,95255,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Federal-gov,223267,Some-college,10,Divorced,Protective-serv,Own-child,White,Male,0,0,72,United-States,<=50K +22,Private,236769,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,England,<=50K +58,Self-emp-inc,229498,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,>50K +43,Private,177083,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,30,United-States,<=50K +23,Private,287681,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Columbia,<=50K +41,Private,49797,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +44,Private,174051,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +32,Private,194901,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,252250,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +47,Private,191277,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +24,Private,174907,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +39,Private,167140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,236543,12th,8,Divorced,Protective-serv,Own-child,White,Male,0,0,54,Mexico,<=50K +40,Private,214242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,216864,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,3770,45,United-States,<=50K +34,Private,245211,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,2036,0,30,United-States,<=50K +57,Private,437727,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +71,Private,200418,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Local-gov,167334,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +54,Private,146834,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,78424,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K +37,Private,182675,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +28,Self-emp-not-inc,38079,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +42,Private,115178,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,15,United-States,<=50K +45,Private,195949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,167415,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,223214,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,22245,Bachelors,13,Married-civ-spouse,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,State-gov,81853,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +30,Private,147921,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K +27,Private,29261,HS-grad,9,Married-AF-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,257758,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,State-gov,136546,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +38,Private,205493,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K +19,Private,71650,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,150217,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +55,Self-emp-inc,258648,10th,6,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,114798,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +43,Private,186188,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Local-gov,175255,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +45,Private,249935,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,120277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +26,Private,193165,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K +32,Private,185027,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,Ireland,>50K +21,Private,221418,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,56063,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,153927,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,163110,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +40,Self-emp-inc,175696,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,51,United-States,<=50K +46,Private,143189,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K +20,?,114969,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +54,State-gov,32778,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,150683,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,78104,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,335005,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3137,0,40,United-States,<=50K +50,Local-gov,311551,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +42,Self-emp-not-inc,201520,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,124111,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +60,Private,166386,11th,7,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,30,Hong,<=50K +43,State-gov,117471,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,361307,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,142038,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,45,United-States,<=50K +35,Private,276552,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,50402,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,174090,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +27,Private,277760,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,24243,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K +44,Self-emp-inc,151089,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,70,United-States,>50K +52,Self-emp-not-inc,165278,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,22,United-States,<=50K +49,Private,182752,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +31,Private,173002,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,261232,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,164607,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,129573,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +51,Federal-gov,36186,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +24,Private,325744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,329793,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +46,Private,133616,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,83401,5th-6th,3,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +76,Private,239880,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +25,Private,201737,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,192182,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +33,Private,143540,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,28334,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,245873,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +42,Local-gov,199095,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +53,Private,104461,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,8614,0,50,Italy,>50K +33,Local-gov,183923,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K +30,Private,129707,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K +41,Local-gov,575442,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,State-gov,184682,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,69251,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +31,Private,225507,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,167515,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +35,Private,407068,1st-4th,2,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +40,Private,170019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K +46,Local-gov,125892,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Local-gov,35824,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +35,Private,67083,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +23,Private,107801,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +50,Self-emp-not-inc,95577,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,12,?,<=50K +43,Private,118536,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Black,Male,0,0,40,United-States,<=50K +61,Private,198078,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +29,Private,78261,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +21,Private,234108,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,241998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1672,50,United-States,<=50K +40,Private,92717,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,257683,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +90,Private,40388,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +24,Private,55424,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,169600,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,2176,0,12,United-States,<=50K +40,Local-gov,319271,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Self-emp-not-inc,75050,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +31,Private,182896,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,188274,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,211497,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,113806,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,?,>50K +47,Local-gov,172246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Local-gov,219962,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,?,186815,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +26,?,132749,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,80,United-States,<=50K +28,Private,209801,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +20,State-gov,178517,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,169364,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Ireland,<=50K +32,Federal-gov,164707,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +55,Private,144084,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,133692,Bachelors,13,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,184169,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K +45,Self-emp-inc,145290,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +65,Local-gov,24824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,178319,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +22,Private,235829,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,?,196280,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +42,Self-emp-not-inc,54202,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,220237,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +24,Private,59146,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +67,Private,64148,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,41,United-States,<=50K +28,Private,196621,HS-grad,9,Married-spouse-absent,Tech-support,Not-in-family,White,Female,0,0,37,United-States,<=50K +56,Private,195668,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Cuba,>50K +31,State-gov,263000,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +33,Private,554986,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +52,?,108211,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,217654,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Germany,>50K +53,Private,139671,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +47,Private,102771,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K +40,Private,213019,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +35,Private,228493,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K +65,Self-emp-not-inc,22907,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,24364,Some-college,10,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K +23,Federal-gov,41432,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +39,Private,235259,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,343476,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +37,Private,326886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,248313,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,30290,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,188540,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,237943,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +25,Private,198870,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K +30,Private,233980,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,171090,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,48,United-States,<=50K +22,Private,353039,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,36,Mexico,<=50K +46,Federal-gov,213140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +54,Private,188136,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,1408,38,United-States,<=50K +33,Private,130057,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +70,State-gov,345339,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,182074,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Local-gov,176557,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +55,State-gov,71630,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1617,40,United-States,<=50K +17,Private,159849,11th,7,Never-married,Protective-serv,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,183425,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,125933,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +40,Local-gov,180123,HS-grad,9,Married-spouse-absent,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,592930,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K +28,Private,183802,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,77005,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +49,Private,80914,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,Self-emp-inc,165667,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,123991,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +48,Self-emp-inc,181307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +55,Private,124137,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Poland,<=50K +18,?,137363,Some-college,10,Never-married,?,Own-child,White,Female,0,0,4,United-States,<=50K +20,Private,291979,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,20,United-States,<=50K +49,Private,91251,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +27,Federal-gov,148153,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +37,Private,131463,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K +32,State-gov,127651,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-inc,239018,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,276087,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,26,United-States,<=50K +34,Private,386877,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +61,Private,210464,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,35,United-States,<=50K +25,Private,632834,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,245465,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +18,Private,198087,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +35,Private,27408,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,242713,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +56,Private,314727,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +40,State-gov,269733,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,177287,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +66,Private,167711,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K +42,Private,112181,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +28,Private,339002,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +39,State-gov,24721,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +65,Self-emp-not-inc,37092,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +20,Private,216563,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,204447,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,40,United-States,>50K +24,?,151153,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,99999,0,50,South,>50K +39,Private,187089,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,423052,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,169180,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Hong,<=50K +21,Private,104981,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,48,United-States,<=50K +35,?,120074,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +38,Private,269323,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +55,Private,141549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,214858,10th,6,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,55,United-States,<=50K +34,Private,173524,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Local-gov,365049,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Mexico,<=50K +38,Private,60355,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,86808,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +33,State-gov,174171,Some-college,10,Separated,Tech-support,Not-in-family,White,Male,0,0,12,United-States,<=50K +32,Federal-gov,504951,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,294064,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,<=50K +46,Private,120131,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,>50K +48,Private,199058,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,152328,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,88564,7th-8th,4,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +67,Private,95113,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,>50K +36,Private,247558,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,60,?,>50K +25,Private,178421,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Private,484861,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,38,United-States,<=50K +27,Local-gov,225291,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,205735,1st-4th,2,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,58898,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,48,United-States,<=50K +39,Private,355468,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,46,United-States,>50K +60,Self-emp-not-inc,184362,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K +27,Private,347513,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,138768,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,29810,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,126501,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,60783,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K +26,Private,179772,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +45,Self-emp-inc,281911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,70447,HS-grad,9,Never-married,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +55,?,449576,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,48,Mexico,<=50K +29,Private,327964,9th,5,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +72,Private,496538,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,6360,0,40,United-States,<=50K +35,Self-emp-not-inc,153066,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +53,State-gov,77651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,119493,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,256240,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +69,Private,177374,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,1848,0,12,United-States,<=50K +41,Local-gov,37848,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +45,Private,129336,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +27,Private,183511,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,120131,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +55,Private,190508,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,United-States,<=50K +31,Private,363130,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +45,Private,240356,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +64,Private,133166,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,5,United-States,<=50K +38,Private,32916,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,117477,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,34748,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,20,United-States,>50K +22,Private,459463,12th,8,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K +23,Private,95989,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +25,Private,118088,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,150570,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,43,United-States,>50K +31,?,505438,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,30,Mexico,<=50K +37,Private,179731,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +53,Private,122109,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,1876,38,United-States,<=50K +28,Local-gov,163942,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,106670,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +41,Private,123403,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Self-emp-inc,119986,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,66622,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +20,?,40060,Some-college,10,Never-married,?,Own-child,White,Male,0,0,56,United-States,<=50K +35,Private,260578,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +64,Local-gov,96076,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,70604,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +39,Self-emp-not-inc,230329,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,1564,12,United-States,>50K +53,Private,49715,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,116531,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,214542,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Local-gov,335005,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,Italy,<=50K +19,Private,258633,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +20,Private,203240,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +27,Private,104457,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +55,Local-gov,99131,HS-grad,9,Married-civ-spouse,Prof-specialty,Other-relative,White,Female,0,2246,40,United-States,>50K +52,State-gov,125796,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1848,40,United-States,>50K +21,?,479482,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,167790,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,133758,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1974,40,United-States,<=50K +22,Private,106843,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,30,United-States,<=50K +24,Private,117959,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,4386,0,40,United-States,>50K +26,Private,174921,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,134152,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +57,Private,99364,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +18,Local-gov,155905,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +30,Private,467108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +34,Self-emp-not-inc,304622,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Private,198692,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,60,United-States,>50K +60,Private,178050,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Private,162687,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,113151,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +48,Private,158924,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +27,Self-emp-not-inc,141795,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,33404,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,>50K +65,Self-emp-inc,178771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,168553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K +27,Private,110648,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,151053,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,142871,Some-college,10,Separated,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +18,?,343161,11th,7,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +27,Private,183523,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,Self-emp-not-inc,222216,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,<=50K +44,Private,121874,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,>50K +30,Private,467108,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +26,Private,34393,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Federal-gov,42003,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +61,Private,180418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-not-inc,199590,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Mexico,<=50K +33,Private,144949,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +50,Private,155594,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +53,Self-emp-not-inc,162576,7th-8th,4,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,99,United-States,<=50K +33,Private,232475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,269474,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +45,Local-gov,140644,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +26,?,39640,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,?,346014,7th-8th,4,Separated,?,Own-child,White,Female,0,0,20,United-States,<=50K +47,Self-emp-not-inc,159726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +52,Federal-gov,290856,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,217886,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +21,?,199915,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +58,Private,106546,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,2174,0,40,United-States,<=50K +50,Local-gov,220640,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,50,United-States,>50K +33,Federal-gov,88913,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,288486,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,227411,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +37,Local-gov,99935,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,50,United-States,>50K +57,Private,201112,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,123778,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +21,Private,204596,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +40,Private,190290,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,196674,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,108435,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +38,Private,186359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,137076,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +22,State-gov,262819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,171655,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +42,Private,183319,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +36,Private,127306,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,47,United-States,<=50K +22,Private,68678,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +40,State-gov,140108,9th,5,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,263444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +46,State-gov,265554,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,410216,11th,7,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,>50K +46,State-gov,20534,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +55,Private,188917,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +76,Private,98695,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,411950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,Private,237819,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +75,Private,187424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +42,Federal-gov,198316,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,139703,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Private,152596,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,194726,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K +44,Private,82601,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,?,229843,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,20,United-States,<=50K +60,Private,122276,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,Italy,<=50K +47,State-gov,188386,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +73,Private,92298,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,15,United-States,<=50K +27,Private,390657,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +50,Private,89041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +35,Private,314897,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +31,Private,166343,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,50,?,<=50K +45,Private,88781,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,>50K +57,Private,41762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,South,>50K +34,Private,849857,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K +19,Private,307496,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +25,Private,324372,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +39,Private,99270,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,Germany,>50K +28,Private,160731,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,>50K +48,State-gov,148306,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,259019,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +53,Private,224894,5th-6th,3,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,10,Haiti,<=50K +19,Private,258470,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,197919,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K +23,Private,213719,Assoc-acdm,12,Never-married,Sales,Own-child,Black,Female,0,0,36,United-States,<=50K +32,Private,226535,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,146042,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +21,Private,180339,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Female,0,1602,30,United-States,<=50K +24,Private,99970,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,300687,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +29,Local-gov,219906,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,25,United-States,>50K +24,Private,122234,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,?,<=50K +55,Private,158641,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,239539,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +46,Local-gov,102308,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,186934,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,234447,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,125933,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +29,Private,142760,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,State-gov,309056,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-not-inc,48859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +30,Private,110594,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +72,Private,426562,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +17,Private,169037,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,123075,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K +38,Private,195744,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +36,Private,81896,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Self-emp-not-inc,172047,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,253814,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +28,Private,66473,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +60,?,56248,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1485,70,United-States,>50K +42,Local-gov,271521,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,40,United-States,>50K +48,Private,265295,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,174308,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,196342,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Private,223594,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,Puerto-Rico,>50K +30,Private,149787,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,124686,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K +45,Private,50163,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +26,Private,175789,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,218215,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,166371,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,169469,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +52,Private,145081,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +68,Private,214521,Prof-school,15,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K +26,Local-gov,287233,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +52,Private,201310,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K +46,Self-emp-not-inc,197836,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,50,United-States,<=50K +53,Private,158294,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +17,Private,127366,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +29,Private,203697,Bachelors,13,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,75,United-States,<=50K +41,Private,168730,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +45,Private,165232,Some-college,10,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,Trinadad&Tobago,<=50K +57,Private,175942,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +30,Federal-gov,356689,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Japan,<=50K +46,Private,132912,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +45,Private,187226,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +59,?,254765,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +40,Private,202565,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K +38,State-gov,103925,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,2036,0,20,United-States,<=50K +22,Private,112164,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,?,<=50K +59,Self-emp-not-inc,70623,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,85,United-States,<=50K +36,Private,102729,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,558944,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,256967,10th,6,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +62,?,144583,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,102412,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,159788,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +27,Private,55743,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,45,United-States,>50K +47,State-gov,148171,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,France,>50K +20,Local-gov,271354,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,98524,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,272913,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,Mexico,<=50K +22,Private,324445,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,155469,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Female,0,0,24,United-States,<=50K +36,Private,102945,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,291904,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Federal-gov,186601,HS-grad,9,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,172401,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +33,Private,193285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +34,Private,176244,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,117779,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,35,United-States,<=50K +22,?,34616,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,169182,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,25,Puerto-Rico,<=50K +27,Private,180758,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Local-gov,141637,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,169023,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +34,Self-emp-not-inc,101266,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,62,United-States,<=50K +30,Private,164190,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,142282,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +39,Federal-gov,103984,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +64,Private,187601,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Self-emp-not-inc,36218,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +29,State-gov,106334,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K +37,Local-gov,249392,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-not-inc,110355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,117944,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +17,Private,163836,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +29,Private,145592,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +24,Private,108495,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,India,<=50K +27,Self-emp-not-inc,212041,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +69,Self-emp-inc,182451,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,124020,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,199116,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +17,?,144114,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,107438,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1651,40,United-States,<=50K +70,Private,405362,7th-8th,4,Widowed,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +32,Private,175856,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,40,United-States,>50K +21,?,262241,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,420054,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,9562,0,50,United-States,>50K +27,Private,86681,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,187161,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +44,State-gov,691903,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K +36,Private,219483,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,199058,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +29,Private,192010,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Poland,<=50K +34,Federal-gov,419691,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,54,United-States,>50K +28,Local-gov,356089,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,50,United-States,<=50K +34,Private,684015,5th-6th,3,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,El-Salvador,<=50K +18,Private,36882,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +39,Private,203180,Some-college,10,Divorced,Farming-fishing,Unmarried,White,Female,0,0,45,United-States,<=50K +34,Private,183811,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,103966,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,41,United-States,<=50K +24,Private,304602,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,57233,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +50,State-gov,289207,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K +68,Private,224019,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,267966,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,214800,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,241528,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,197365,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,296724,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,17,United-States,<=50K +26,Private,136226,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,40623,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,264874,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,112847,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +18,?,236090,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,89028,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +71,State-gov,210673,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,28,United-States,<=50K +55,Private,60193,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,216137,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +36,Private,139743,Some-college,10,Widowed,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +25,?,32276,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,423605,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,40,Nicaragua,>50K +27,Private,298871,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +42,Private,318255,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,347867,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,1719,40,United-States,<=50K +57,Private,279636,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +34,Private,405386,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,28,United-States,<=50K +31,Private,297188,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,182342,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,229148,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,60,Jamaica,<=50K +30,Private,189620,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,6849,0,40,England,<=50K +17,Private,413557,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K +26,Self-emp-inc,246025,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,20,Honduras,<=50K +32,Private,390997,1st-4th,2,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,50,Mexico,<=50K +55,Private,102058,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,247298,12th,8,Married-spouse-absent,Other-service,Own-child,Other,Female,0,0,20,United-States,<=50K +28,Private,140108,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +55,?,216941,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,2885,0,40,United-States,<=50K +49,Private,81654,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,177526,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,64631,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,110028,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,203761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,163870,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,117299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +20,Private,50648,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +21,Private,166517,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,?,173800,Bachelors,13,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Female,0,0,10,Taiwan,<=50K +44,Self-emp-inc,181762,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +31,Self-emp-not-inc,340880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +50,Self-emp-not-inc,114758,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,4416,0,45,United-States,<=50K +54,Private,138847,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +28,Private,215014,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,183778,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,273629,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-inc,113870,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Private,213955,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,2001,40,United-States,<=50K +29,Private,114982,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +35,Private,205338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,57924,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,50,United-States,>50K +90,?,225063,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,10,South,<=50K +35,Self-emp-not-inc,202027,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +20,Private,281356,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K +42,Private,30824,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,2354,0,16,United-States,<=50K +56,Private,98809,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,5013,0,45,United-States,<=50K +31,Private,38223,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +23,Private,172232,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +60,Private,140544,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,221366,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,180799,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +36,Private,111499,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,14084,0,40,United-States,>50K +44,Self-emp-not-inc,155930,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,201122,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +27,Private,101709,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,140121,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +48,Private,172709,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,120131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +34,Private,117444,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +27,Private,256764,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Local-gov,176185,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,40,?,<=50K +24,Private,223811,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,201603,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +25,Private,138765,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,133974,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,137953,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +57,Private,103403,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,461678,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +41,State-gov,70884,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +56,State-gov,466498,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K +19,Private,148644,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,190739,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,32,United-States,<=50K +34,Private,299507,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,211424,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +27,State-gov,106721,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,192017,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,530099,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,55,United-States,>50K +34,Private,119153,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,202450,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +21,Private,50341,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +24,Private,140001,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Italy,<=50K +19,?,220517,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +82,?,52921,Some-college,10,Widowed,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,3,United-States,<=50K +35,Private,31964,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +32,Private,148207,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,151627,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +30,Private,402539,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,188278,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +28,Self-emp-not-inc,96219,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,5,United-States,<=50K +29,Private,340534,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +60,Private,160339,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K +28,Private,120135,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,303817,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,181091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +28,Private,200515,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,>50K +42,Private,160893,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,23,United-States,<=50K +40,Local-gov,183096,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Yugoslavia,>50K +24,Private,241367,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,342084,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Private,193855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,80410,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,554317,9th,5,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K +46,Private,85109,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1628,40,United-States,<=50K +28,Private,108569,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K +34,Private,120959,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,222011,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K +43,Private,238530,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,48404,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +60,Private,88055,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,3781,0,16,United-States,<=50K +33,Private,238381,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,8614,0,40,United-States,>50K +22,Private,243923,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,80,United-States,<=50K +39,Private,305597,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,141841,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,5178,0,40,United-States,>50K +39,Private,129764,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,150993,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +63,Self-emp-not-inc,147140,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +46,State-gov,30219,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,38,United-States,>50K +48,Private,167967,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,133278,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +65,Private,172510,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,1848,0,20,Hungary,<=50K +39,Private,192251,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,>50K +43,Private,210844,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,>50K +28,Private,263015,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,155118,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,35,United-States,>50K +24,State-gov,232918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +48,Private,143542,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,45607,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,29828,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,104118,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,191446,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +50,Private,27484,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,205987,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,Cuba,<=50K +39,Local-gov,143385,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,?,200508,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,186995,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,54159,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +39,Private,113481,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +30,Local-gov,235271,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +32,Private,349365,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,65,United-States,<=50K +18,Private,283637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,70282,Assoc-acdm,12,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,166051,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,193720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +35,?,124836,Some-college,10,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,36,United-States,<=50K +33,Private,236379,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,122026,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +40,Private,114537,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,191834,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +29,Private,420054,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,160045,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +34,Private,303187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +45,Private,190088,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +53,Private,126977,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +52,Self-emp-not-inc,63004,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +64,Private,391121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +42,Private,211450,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +44,Private,156413,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,>50K +41,Private,116797,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +53,Local-gov,204447,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +25,Private,66935,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +20,Private,344278,11th,7,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,108574,Assoc-voc,11,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,244605,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,363677,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,30,United-States,>50K +56,Private,219762,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K +38,Self-emp-inc,269318,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +62,Private,77884,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +28,Self-emp-not-inc,70100,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +31,Private,213643,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,40,United-States,<=50K +24,Private,69640,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,170012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,34,United-States,<=50K +40,Private,329924,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,30,United-States,<=50K +31,Private,193285,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,261241,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1741,60,United-States,<=50K +42,Federal-gov,108183,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,South,>50K +20,Private,296618,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,Local-gov,257796,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,155320,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +22,Private,151888,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +65,?,143118,HS-grad,9,Widowed,?,Unmarried,White,Female,0,2206,10,United-States,<=50K +31,Private,66278,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,3908,0,40,United-States,<=50K +56,Private,92444,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +51,Private,229272,HS-grad,9,Divorced,Other-service,Other-relative,Black,Male,0,0,32,Haiti,<=50K +36,Self-emp-not-inc,207202,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +44,State-gov,154176,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,1590,40,United-States,<=50K +49,Private,180899,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,1755,45,United-States,>50K +28,Private,205337,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,180779,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +33,Self-emp-not-inc,343021,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +49,Private,176814,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K +74,State-gov,88638,Doctorate,16,Never-married,Prof-specialty,Other-relative,White,Female,0,3683,20,United-States,>50K +48,Private,248059,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,45,United-States,<=50K +38,Private,409604,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +39,Private,185053,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,332884,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,65,United-States,>50K +56,Private,212864,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,66473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,285169,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,175431,9th,5,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,?,152641,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,339346,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +39,Private,287306,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,70604,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3464,0,40,United-States,<=50K +21,Private,88926,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +36,Private,91275,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +56,Private,244554,10th,6,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,232586,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,127678,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K +44,Private,162184,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,408229,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,45,El-Salvador,<=50K +43,State-gov,139734,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +62,Private,197286,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,Germany,<=50K +52,Private,229983,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,30,United-States,>50K +25,Private,252803,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,Self-emp-inc,110890,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K +51,Private,160724,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,99,South,<=50K +25,Private,89625,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +62,?,266037,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,126730,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Federal-gov,96854,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +32,Private,186788,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,28996,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,347166,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,State-gov,110311,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,310850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,220694,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +61,Private,149405,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +70,Self-emp-inc,131699,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +55,Private,49996,11th,7,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,187112,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +36,Private,180859,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,United-States,<=50K +29,Private,185647,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,60,United-States,<=50K +30,Private,316606,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,274657,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +39,Federal-gov,193583,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,60,United-States,<=50K +18,Private,338836,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +28,Private,216814,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,106935,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,223433,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,174789,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,135603,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +25,?,344719,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K +38,Private,372484,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,181820,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K +40,Private,235371,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Self-emp-inc,216711,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,?,>50K +20,Private,299399,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,202508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +44,Private,172025,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +49,Self-emp-inc,246891,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +22,Private,450920,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Private,53598,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,103757,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,76017,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +28,Self-emp-inc,80158,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Federal-gov,90881,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,8614,0,55,United-States,>50K +44,Private,427952,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +20,?,230955,12th,8,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K +53,Private,177916,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +36,Private,342642,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,15,United-States,<=50K +77,Private,253642,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,30,United-States,<=50K +21,Private,219086,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +24,Private,162593,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +30,Private,87561,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,142411,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +22,Private,154422,Some-college,10,Divorced,Sales,Own-child,Asian-Pac-Islander,Female,0,0,30,Philippines,<=50K +23,Private,169104,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,25,United-States,<=50K +47,Private,193047,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +17,Private,151141,12th,8,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +48,Private,267912,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,50,Mexico,>50K +43,Private,137126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,152453,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K +19,Private,357059,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +42,State-gov,202011,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,98283,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,176965,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +63,Private,187919,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +65,Private,274916,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,105813,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +41,Local-gov,193524,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +35,Private,152734,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,<=50K +21,Private,263641,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Local-gov,102076,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +51,State-gov,155594,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +43,Private,33331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +22,State-gov,156773,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,?,<=50K +56,Self-emp-not-inc,115439,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,181652,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,120268,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K +39,Private,196308,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,24,United-States,<=50K +45,Self-emp-not-inc,40690,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,75,United-States,<=50K +49,Private,228583,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,40,Columbia,<=50K +23,Private,695136,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +69,Private,209236,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,36,United-States,<=50K +41,Federal-gov,214838,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +40,Self-emp-not-inc,188436,HS-grad,9,Separated,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +25,Private,177625,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,124591,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,230856,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,3325,0,50,United-States,<=50K +50,Federal-gov,221532,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,232577,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,30,United-States,<=50K +48,Private,168216,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Private,214702,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +63,Private,237620,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +47,State-gov,54887,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,164526,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,14084,0,45,United-States,>50K +28,Private,224506,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,?,<=50K +58,Private,183870,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,208330,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,United-States,<=50K +67,Self-emp-inc,168370,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,320376,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,48,United-States,<=50K +28,Private,192384,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +26,Private,167350,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,103538,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +29,Private,58522,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,191342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +25,Private,193820,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,258490,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +21,Private,56520,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,102476,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Self-emp-inc,311357,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +37,Private,166497,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +50,Private,160724,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K +29,Private,338270,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,282394,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,21,United-States,<=50K +32,Private,383269,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,119386,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Private,196975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,334221,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +58,Private,27385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +29,State-gov,133846,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,361888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +21,Private,230429,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +49,Private,328776,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,243829,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Private,306646,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,>50K +50,Private,138179,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +30,Private,280069,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +55,Private,305759,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,?,<=50K +64,Local-gov,164876,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,20,United-States,<=50K +29,Self-emp-inc,138597,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K +40,Private,111483,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,144778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,171015,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,112494,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,408473,12th,8,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,State-gov,27802,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +34,Private,236318,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,121836,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,38,United-States,>50K +43,Self-emp-not-inc,315971,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,698418,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +21,Private,329530,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +65,Private,194456,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,>50K +20,Private,282579,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,State-gov,26401,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +38,State-gov,364958,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3464,0,40,United-States,<=50K +22,Private,83998,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,94364,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,20,United-States,<=50K +44,Private,174189,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +44,Local-gov,101967,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,146908,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +38,Private,126675,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2205,40,United-States,<=50K +21,Private,31606,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,Germany,<=50K +24,Private,132327,Some-college,10,Married-spouse-absent,Sales,Unmarried,Other,Female,0,0,30,Ecuador,<=50K +24,Private,112459,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +28,Private,48894,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,181943,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,247685,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +24,Local-gov,195808,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,172052,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,35,South,>50K +50,Local-gov,50178,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,55,United-States,<=50K +68,Private,351711,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,State-gov,190305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,464103,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +18,?,36348,Some-college,10,Never-married,?,Own-child,White,Male,0,0,48,United-States,<=50K +25,Private,120238,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Poland,<=50K +28,Private,354095,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Local-gov,308901,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +24,State-gov,208826,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,England,<=50K +20,Private,369677,10th,6,Separated,Sales,Not-in-family,White,Female,0,0,36,United-States,<=50K +45,Federal-gov,98524,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Private,239723,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Female,1506,0,45,United-States,<=50K +57,Private,231232,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,236396,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K +24,?,119156,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,320451,Some-college,10,Never-married,Protective-serv,Own-child,Asian-Pac-Islander,Male,0,0,24,India,<=50K +41,Private,38397,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-inc,189183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,199281,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +52,Private,286342,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,38,United-States,<=50K +50,Private,152810,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +26,Self-emp-inc,176981,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +17,Private,117549,10th,6,Never-married,Sales,Other-relative,Black,Female,0,0,12,United-States,<=50K +64,Private,254797,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,133336,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,182826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +51,Private,136224,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,134475,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,1762,40,United-States,<=50K +48,Private,272778,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +44,Private,279183,Some-college,10,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,40,United-States,>50K +47,Private,110243,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,202071,HS-grad,9,Widowed,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,197642,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +19,Private,125591,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,197462,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +23,Private,238831,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,182177,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Yugoslavia,<=50K +40,Local-gov,240504,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-inc,125892,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K +46,Private,154430,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +32,Private,207685,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,3908,0,40,United-States,<=50K +50,Private,222020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,243240,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,37,United-States,<=50K +26,Private,158734,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,257691,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +26,Private,144483,Assoc-voc,11,Divorced,Sales,Own-child,White,Female,594,0,35,United-States,<=50K +19,Private,209826,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +53,Private,30244,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +54,Private,133050,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,41,United-States,<=50K +29,Private,138332,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,6,United-States,<=50K +81,Private,201398,Masters,14,Widowed,Prof-specialty,Unmarried,White,Male,0,0,60,?,<=50K +37,Private,526968,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,>50K +40,Private,79036,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,>50K +36,Private,240323,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,270544,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +44,State-gov,199551,11th,7,Separated,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Private,231052,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +69,State-gov,203072,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,126771,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,7,United-States,<=50K +38,Private,31848,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,328981,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +52,Private,159670,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,450695,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +57,Private,182028,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +19,Private,349620,10th,6,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,161066,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +46,Private,213611,7th-8th,4,Married-spouse-absent,Priv-house-serv,Unmarried,White,Female,0,1594,24,Guatemala,<=50K +21,Private,548303,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,40,Mexico,>50K +29,Private,150861,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Japan,<=50K +33,?,335625,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,133766,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +28,Private,200511,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K +26,Private,50103,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +37,?,148266,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,6,Mexico,<=50K +49,Private,177211,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,132686,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +57,Federal-gov,21626,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,52900,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,?,150084,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +38,Private,248886,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,42,United-States,<=50K +51,Self-emp-not-inc,118259,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,60,United-States,<=50K +60,Private,145493,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,219546,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,3411,0,47,United-States,<=50K +44,Federal-gov,399155,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +19,Self-emp-not-inc,227310,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +59,Private,333270,Masters,14,Married-civ-spouse,Craft-repair,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +50,Private,231495,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,133935,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Federal-gov,55237,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +18,Private,183034,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,35,United-States,<=50K +32,Private,245487,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +32,Private,185480,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,114251,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,181814,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,340917,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +37,Private,241998,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +38,Self-emp-inc,125324,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +36,Private,34744,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,37,United-States,<=50K +56,Private,131608,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Federal-gov,226916,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +56,Private,124137,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,41,United-States,<=50K +17,Private,96282,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K +46,Private,337050,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +56,Private,229335,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,State-gov,199495,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,111675,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,<=50K +27,Private,139209,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,32372,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,203784,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,62,United-States,<=50K +33,Private,164190,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +38,Private,64875,Some-college,10,Never-married,Farming-fishing,Unmarried,White,Male,0,0,60,United-States,<=50K +51,Private,41806,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,208725,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +49,Local-gov,79019,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K +26,Private,136951,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Private,203554,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Private,252947,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,1719,32,United-States,<=50K +38,Private,170861,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,199590,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,>50K +41,Private,529216,Bachelors,13,Divorced,Tech-support,Unmarried,Black,Male,7430,0,45,?,>50K +33,Private,195576,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,60,United-States,<=50K +30,Private,182177,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Ireland,<=50K +25,State-gov,183678,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +50,Private,209320,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,206862,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,>50K +37,Private,168941,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,201263,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,United-States,>50K +17,Private,75333,10th,6,Never-married,Sales,Own-child,Black,Female,0,0,24,United-States,<=50K +65,?,299494,11th,7,Married-civ-spouse,?,Husband,White,Male,1797,0,40,United-States,<=50K +56,Self-emp-not-inc,163212,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,99999,0,40,United-States,>50K +57,Private,139290,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K +33,Private,400416,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +41,Self-emp-not-inc,223763,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +45,Private,77927,Bachelors,13,Widowed,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +50,Private,175804,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +18,Private,91525,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,25,United-States,<=50K +19,Private,279968,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,77698,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +61,?,198686,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K +67,?,190340,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,113491,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,202878,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,108431,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,194490,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +37,Private,48093,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,90,United-States,>50K +22,Private,136824,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,143280,10th,6,Never-married,Priv-house-serv,Own-child,White,Female,0,0,24,United-States,<=50K +26,Private,150062,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +27,Local-gov,298510,HS-grad,9,Divorced,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,177147,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,6849,0,65,United-States,<=50K +51,Private,115025,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,350440,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +60,Private,83850,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,62669,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,229773,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +40,Local-gov,196234,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,40,Puerto-Rico,<=50K +69,?,163595,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +44,Private,157249,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,1977,50,United-States,>50K +65,Private,80174,HS-grad,9,Divorced,Exec-managerial,Other-relative,White,Female,1848,0,50,United-States,<=50K +52,Self-emp-inc,49069,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +38,Private,122952,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,35,United-States,<=50K +18,Private,123856,11th,7,Never-married,Sales,Own-child,White,Female,0,0,49,United-States,<=50K +24,Private,216181,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,180062,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +21,Private,188535,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K +67,Self-emp-not-inc,106143,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +64,Self-emp-not-inc,170421,Some-college,10,Widowed,Craft-repair,Not-in-family,White,Female,0,0,8,United-States,<=50K +25,Private,283087,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Federal-gov,341051,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +39,Self-emp-not-inc,34378,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,380674,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,52,United-States,<=50K +19,Private,304469,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,99146,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,205109,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,99156,HS-grad,9,Separated,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +45,Private,97842,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K +18,Private,100875,11th,7,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K +51,Private,200576,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,63,United-States,<=50K +36,Private,355053,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,28,United-States,<=50K +18,Private,118376,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,?,<=50K +37,Local-gov,117760,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,4650,0,40,United-States,<=50K +37,Private,117567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +39,Federal-gov,189632,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +21,Private,170108,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +46,State-gov,27243,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +33,Private,192663,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,526164,Bachelors,13,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,146579,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K +28,Private,60288,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,State-gov,241951,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,213140,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,218124,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +22,Self-emp-not-inc,279802,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,3,United-States,<=50K +26,Private,153078,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,80,?,>50K +40,Private,167919,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,250832,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,193158,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,172032,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,39484,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,42,United-States,>50K +45,Private,84298,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +43,Private,269015,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,Germany,>50K +17,?,262196,10th,6,Never-married,?,Own-child,White,Male,0,0,8,United-States,<=50K +49,Federal-gov,125892,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,134890,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +60,Self-emp-not-inc,261119,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,119409,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Columbia,<=50K +53,Self-emp-not-inc,118793,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +19,Private,184207,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,191027,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,207782,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +48,Self-emp-not-inc,209146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +76,?,79445,10th,6,Married-civ-spouse,?,Husband,White,Male,1173,0,40,United-States,<=50K +19,Private,187724,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,66777,Assoc-voc,11,Married-civ-spouse,Other-service,Other-relative,White,Female,3137,0,40,United-States,<=50K +58,Private,158002,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +19,Self-emp-not-inc,305834,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K +37,?,122265,HS-grad,9,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,42,?,<=50K +22,Private,211798,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,123011,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +31,Private,36302,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +50,Self-emp-not-inc,176867,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,3781,0,40,United-States,<=50K +62,Private,169204,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,38232,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +64,State-gov,277657,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +38,Private,32271,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,116825,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,80,United-States,>50K +28,Self-emp-not-inc,226198,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,28145,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,52,United-States,<=50K +39,Private,140477,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,10,United-States,<=50K +50,Private,165050,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-inc,202937,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +36,Private,316298,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,203070,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,49,United-States,<=50K +51,Self-emp-inc,103995,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +28,Private,176137,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +57,Self-emp-not-inc,103948,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +40,Local-gov,39581,Prof-school,15,Separated,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +27,Private,506436,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K +32,Private,226975,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1876,60,United-States,<=50K +49,State-gov,154493,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,44,United-States,<=50K +34,Self-emp-not-inc,137223,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,102323,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,257765,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +52,Private,42924,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,167599,11th,7,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,25,United-States,<=50K +84,?,368925,5th-6th,3,Widowed,?,Not-in-family,White,Male,0,0,15,United-States,<=50K +79,?,100881,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,>50K +35,Private,52738,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K +56,Private,98418,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +30,Private,381153,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,103700,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,298635,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +32,Private,127895,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,212760,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,281384,HS-grad,9,Married-AF-spouse,Other-service,Other-relative,White,Female,0,0,10,United-States,<=50K +60,Private,181200,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,257364,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +50,Private,283281,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,214502,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K +41,Private,69333,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +28,Private,190060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +53,Private,95864,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,35,United-States,<=50K +71,?,144872,Some-college,10,Married-civ-spouse,?,Husband,White,Male,6514,0,40,United-States,>50K +17,?,275778,9th,5,Never-married,?,Own-child,White,Female,0,0,25,Mexico,<=50K +45,Private,27332,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,24395,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +25,Private,330695,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Self-emp-not-inc,171615,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,>50K +28,Private,116372,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +27,Private,38599,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Local-gov,202184,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,315303,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,25,United-States,<=50K +38,Private,103456,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +24,State-gov,163480,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,317425,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,7,United-States,<=50K +58,Private,216941,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,116541,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,44,United-States,>50K +43,Private,186396,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,273194,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3137,0,35,United-States,<=50K +24,Private,385540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +63,Private,201631,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,439919,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +21,Private,182117,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K +20,State-gov,334113,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,184837,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,7298,0,40,United-States,>50K +49,?,228372,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K +47,Federal-gov,211123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,38819,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +61,Private,162391,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1651,40,United-States,<=50K +23,?,302836,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,40,El-Salvador,<=50K +35,State-gov,89040,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,264210,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,20,United-States,<=50K +18,Private,87157,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +28,Self-emp-not-inc,398918,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +62,?,123612,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +20,Private,155818,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,243660,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,134195,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,238638,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,159929,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,198668,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,215504,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,158002,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,55,Ecuador,<=50K +53,Local-gov,35305,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,57,United-States,<=50K +25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +44,State-gov,321824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +22,Private,180449,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,28,United-States,<=50K +40,Private,201764,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,250038,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K +30,Self-emp-not-inc,226535,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +51,Private,136121,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +17,Private,47199,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,24,United-States,<=50K +46,Local-gov,215895,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +50,State-gov,24647,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,Private,734193,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,?,321086,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +41,Federal-gov,192589,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,326283,Bachelors,13,Never-married,Other-service,Unmarried,Other,Male,0,0,40,United-States,<=50K +32,Private,207284,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,109089,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +50,Private,274528,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +77,Private,142646,7th-8th,4,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,23,United-States,<=50K +33,Private,180859,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,188610,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +64,Private,169604,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,260560,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +34,Local-gov,188245,HS-grad,9,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +67,Local-gov,103315,Masters,14,Never-married,Exec-managerial,Other-relative,White,Female,15831,0,72,United-States,>50K +37,Local-gov,52465,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,737315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,?,195143,Some-college,10,Never-married,?,Own-child,White,Female,0,0,29,United-States,<=50K +50,Self-emp-not-inc,219420,Doctorate,16,Divorced,Sales,Not-in-family,White,Male,0,0,64,United-States,<=50K +60,Private,198170,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +46,Local-gov,183168,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +44,Private,196545,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +43,Private,168412,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,44,Poland,<=50K +48,Private,174386,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,El-Salvador,>50K +36,Private,544686,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,2907,0,40,Nicaragua,<=50K +48,Private,95661,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +37,Private,468713,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,169112,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +52,Private,74024,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,110622,5th-6th,3,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,Vietnam,<=50K +43,Local-gov,33331,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,181557,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +66,Private,142624,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5556,0,40,Yugoslavia,>50K +37,Self-emp-not-inc,192251,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,2635,0,40,United-States,<=50K +35,Private,146091,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,174575,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +49,Private,200949,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,38,Peru,<=50K +51,Local-gov,201560,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +71,Federal-gov,149386,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,9,United-States,<=50K +50,Local-gov,168672,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,40,United-States,>50K +63,Private,38352,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,State-gov,180272,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +24,State-gov,275421,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +41,Local-gov,173051,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +33,Local-gov,167474,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,267138,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +23,Private,135138,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,218357,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +28,Self-emp-not-inc,107236,12th,8,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,138416,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,Mexico,<=50K +28,Private,154863,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,35,United-States,<=50K +37,Private,194004,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +19,Private,339123,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +51,Local-gov,548361,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,26,United-States,<=50K +25,Private,101812,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,41,United-States,<=50K +49,Self-emp-inc,127111,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,171807,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +48,Local-gov,40666,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,340682,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,175052,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,?,321629,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,16,United-States,<=50K +46,Private,154405,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,108402,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,346275,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K +44,Private,42476,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K +23,Private,161708,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,70447,Some-college,10,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Male,4650,0,20,United-States,<=50K +30,Private,189759,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,4865,0,40,United-States,<=50K +65,?,137354,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +34,Private,250724,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,Jamaica,<=50K +34,Federal-gov,149368,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,154641,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,38309,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,40,United-States,<=50K +53,Local-gov,202733,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K +34,Private,56150,11th,7,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,260254,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,108083,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +54,Self-emp-not-inc,71344,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +32,Private,174215,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +39,State-gov,114366,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Private,158962,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,179498,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Germany,<=50K +29,Private,31935,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,149909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +20,?,58740,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +39,Private,216552,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,255348,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,176050,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +71,?,125101,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,?,197286,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,337469,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,594,0,20,Mexico,<=50K +31,Private,159737,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,58,United-States,<=50K +39,Private,316211,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,127610,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,32,United-States,>50K +45,Local-gov,556652,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,265576,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +43,Private,347653,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +32,Private,62374,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,170230,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,203051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,27,United-States,<=50K +66,Self-emp-inc,115880,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,167735,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +46,Self-emp-inc,181413,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,185554,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,350387,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +63,Private,225102,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K +55,Private,105582,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3103,0,40,United-States,>50K +35,Self-emp-not-inc,350247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Private,150025,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,?,>50K +37,Private,107737,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +63,?,334741,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +43,Private,115562,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +30,Self-emp-not-inc,131584,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +36,Local-gov,95855,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +54,Private,391016,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Federal-gov,51089,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +78,Self-emp-inc,188044,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,40,United-States,>50K +77,Private,117898,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,70240,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +39,Self-emp-not-inc,187693,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K +37,Private,341672,Bachelors,13,Separated,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +34,Private,208043,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K +22,Local-gov,289982,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,<=50K +54,Private,76344,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,200973,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +36,Private,111377,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,136684,HS-grad,9,Widowed,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K +40,Private,176716,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-not-inc,166894,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,243872,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +28,Private,155621,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Columbia,<=50K +46,Private,102597,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,60331,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,75024,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,Canada,<=50K +69,Private,174474,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,28,Peru,<=50K +43,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Private,83434,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,21,Japan,>50K +20,Private,691830,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +22,Private,189203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,115784,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +40,Federal-gov,280167,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +68,?,407338,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +39,Private,52978,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,1721,55,United-States,<=50K +57,Private,169329,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,1887,40,Trinadad&Tobago,>50K +23,Private,315065,10th,6,Never-married,Other-service,Unmarried,White,Male,0,0,60,Mexico,<=50K +25,Local-gov,167835,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,>50K +22,Private,63105,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,520775,12th,8,Never-married,Priv-house-serv,Own-child,White,Male,0,0,30,United-States,<=50K +41,Local-gov,47902,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +25,Private,145434,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +58,Private,56392,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,162312,HS-grad,9,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Japan,<=50K +28,Private,204074,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +19,Private,99246,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Private,102085,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +68,Private,168794,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K +33,State-gov,332379,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,233419,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,57233,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,192337,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +31,Private,442429,HS-grad,9,Separated,Craft-repair,Unmarried,White,Female,0,0,40,Mexico,<=50K +29,Private,369114,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,261334,9th,5,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,160303,HS-grad,9,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +49,Private,50474,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,321577,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +41,Private,29591,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,334744,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +22,Self-emp-not-inc,269474,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,287306,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +66,Private,33619,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,4,United-States,<=50K +38,Private,149347,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Private,96249,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K +40,Local-gov,370502,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +32,Private,188246,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,167558,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,Mexico,<=50K +35,Private,292185,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,101593,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +33,Local-gov,70164,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +36,Private,269722,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +33,Self-emp-not-inc,175502,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +53,Private,233165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +27,Private,177351,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,212114,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,288959,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,36,United-States,<=50K +64,Private,231619,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,21,United-States,<=50K +48,Private,146919,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +23,Private,388811,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,243560,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,40,?,<=50K +35,Self-emp-not-inc,98360,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,369538,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +65,Self-emp-not-inc,31740,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +53,Private,223660,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Male,6849,0,40,United-States,<=50K +18,Private,333611,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,54,Mexico,<=50K +34,Self-emp-not-inc,108247,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +28,Private,76129,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Guatemala,<=50K +37,Private,91711,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +61,?,166855,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +59,Private,182062,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +32,Private,252752,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,13550,0,60,United-States,>50K +31,Private,43953,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K +25,Local-gov,84224,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +81,Private,100675,1st-4th,2,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,Poland,<=50K +47,Private,155509,HS-grad,9,Separated,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K +39,Private,29814,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,241805,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,30,United-States,<=50K +44,Private,214838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +37,Private,240810,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,154076,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +27,?,175552,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +55,Private,170287,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Poland,>50K +60,Private,145995,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,433669,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,36,?,<=50K +23,Private,233626,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +19,Private,607799,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,60,United-States,<=50K +45,Private,88500,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +36,Private,127809,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +46,Private,243743,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Private,177211,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,231180,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,253856,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +39,Private,177075,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,152855,HS-grad,9,Never-married,Exec-managerial,Own-child,Other,Female,0,0,40,Mexico,<=50K +37,Private,191137,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Male,0,0,25,United-States,<=50K +49,Private,255559,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +27,Private,169815,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,221215,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +35,Private,270059,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +54,?,31588,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2635,0,40,United-States,<=50K +17,Private,345403,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,194897,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +33,Private,388741,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Female,0,0,38,United-States,<=50K +33,Private,355856,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +51,Private,122109,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +49,Private,75673,HS-grad,9,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +49,Self-emp-inc,141058,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,2339,50,United-States,<=50K +41,Private,47902,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +64,Private,221343,1st-4th,2,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,12,United-States,<=50K +40,Private,255675,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Federal-gov,203505,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,125106,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,139890,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,76878,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +47,Self-emp-not-inc,28035,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,86,United-States,<=50K +30,Private,43953,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,1974,40,United-States,<=50K +36,Private,163237,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,55890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,255934,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +61,Private,168654,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K +47,Self-emp-not-inc,39986,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,208451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,206681,12th,8,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +33,Private,117779,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,46,United-States,>50K +36,Self-emp-not-inc,129150,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +38,?,177273,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,<=50K +34,Local-gov,226443,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +56,Private,146326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,187901,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,23,United-States,<=50K +26,Private,97153,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +49,Private,188694,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +71,Private,187493,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +19,Private,212468,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +20,Private,84726,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,137907,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +51,Private,34361,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,>50K +38,Private,254114,Some-college,10,Married-spouse-absent,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +38,Private,170174,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,190895,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +24,Local-gov,317443,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +40,Private,375603,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +21,Private,203076,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +49,Private,53893,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,171748,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K +54,Private,167770,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +52,Private,204584,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K +27,Private,660870,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +20,Private,105686,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,?,70282,Masters,14,Married-civ-spouse,?,Wife,Black,Female,15024,0,2,United-States,>50K +31,Private,148607,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,255849,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Federal-gov,255921,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,England,<=50K +33,Private,113326,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,440456,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,105493,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,259757,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,653,50,United-States,>50K +37,Local-gov,89491,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,171818,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,51151,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,188957,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,97933,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,195447,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +63,?,46907,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,>50K +54,Self-emp-inc,383365,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +32,Self-emp-not-inc,203408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +29,Local-gov,148182,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +26,Local-gov,211497,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,48063,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +57,Private,211804,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K +54,Private,185407,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,225927,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Federal-gov,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,208577,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +42,Private,222884,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +31,Private,209538,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,177114,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Private,173754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,121370,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +37,Private,67125,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +26,Private,67240,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,198346,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,141003,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K +24,Self-emp-inc,60668,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,104256,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K +47,Private,131002,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +33,Self-emp-not-inc,155151,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K +26,Private,177720,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +20,Private,39615,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,203871,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,40,United-States,>50K +57,State-gov,25045,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,2174,0,37,United-States,<=50K +36,Private,112264,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,169100,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,155659,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Germany,>50K +39,Private,291665,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4508,0,24,United-States,<=50K +29,Private,224215,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,270502,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +46,Private,125487,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,51385,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Private,112763,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,108926,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,366957,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,99999,0,50,India,>50K +36,Local-gov,109766,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +38,Private,226106,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +75,Self-emp-not-inc,92792,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +26,Private,186950,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,Private,230478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,231638,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,120461,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,33673,12th,8,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +34,Private,191385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +31,Self-emp-not-inc,229946,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K +47,Self-emp-not-inc,160131,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,190895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +18,Private,126021,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,27815,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,1719,30,United-States,<=50K +42,Private,203542,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,144592,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,223004,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,75,United-States,<=50K +22,Private,183257,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +32,Private,172714,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,131611,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,48,United-States,<=50K +41,Private,253060,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,471990,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,46,United-States,>50K +44,Private,138966,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K +35,Private,385412,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,?,184101,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +60,Private,103344,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +36,Local-gov,135786,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +30,Private,227359,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +40,State-gov,86912,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +21,Private,83033,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2176,0,20,United-States,<=50K +25,Private,172581,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,State-gov,274111,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1669,40,United-States,<=50K +42,Private,187795,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +26,Private,483822,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,Guatemala,<=50K +66,Self-emp-inc,220543,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +48,Private,152953,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,Dominican-Republic,<=50K +35,Private,239755,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +41,Private,177905,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +19,Private,200136,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +55,Self-emp-not-inc,111625,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,336513,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,60,United-States,>50K +45,Private,162915,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,116662,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,24763,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +65,Private,225580,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Private,169104,Assoc-acdm,12,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +43,Private,212894,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,93997,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K +22,Private,189924,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,274424,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,188246,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,284211,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +21,Private,198259,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +31,Private,368517,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +34,Private,168768,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Federal-gov,122220,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +32,Private,136204,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,0,2824,55,United-States,>50K +44,Private,175641,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,State-gov,173324,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +75,Local-gov,31195,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +55,Federal-gov,88876,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K +43,Self-emp-not-inc,176069,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,16,United-States,<=50K +31,Private,215297,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,198425,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +26,Local-gov,180957,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,206129,Assoc-voc,11,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Federal-gov,65950,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,197618,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,185357,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,134890,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +64,?,193043,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,153633,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +65,Private,115890,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +34,Private,394447,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,2463,0,50,France,<=50K +58,Private,343957,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +63,?,247986,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +50,Private,238959,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,?,>50K +59,Private,159048,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,423222,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +30,Private,89735,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,31778,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +51,?,157327,5th-6th,3,Married-civ-spouse,?,Husband,Black,Male,0,0,8,United-States,<=50K +47,Private,233511,Masters,14,Divorced,Sales,Not-in-family,White,Male,27828,0,60,United-States,>50K +30,Private,327112,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,1564,40,United-States,>50K +34,Private,236543,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,State-gov,194475,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,303510,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,171242,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,39388,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +62,Local-gov,197218,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,18,United-States,<=50K +22,State-gov,151991,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,20,United-States,<=50K +38,Private,374524,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +34,?,267352,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +45,Local-gov,364563,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +37,Private,186035,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,47541,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,151107,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,500509,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +47,Private,138107,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,2258,40,United-States,>50K +20,Federal-gov,225515,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +27,Private,153291,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +40,Private,169885,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,112780,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +31,Local-gov,175778,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,55213,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1977,52,United-States,>50K +48,Private,38950,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +64,Self-emp-not-inc,65991,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,45,United-States,>50K +39,Private,174330,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +50,Private,35224,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,175622,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,164678,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,<=50K +50,?,87263,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K +54,Private,163671,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,65,United-States,>50K +17,Self-emp-not-inc,181317,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +33,Federal-gov,177945,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,47168,10th,6,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,190023,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,168782,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +59,Private,175290,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,32,United-States,<=50K +74,Private,145463,1st-4th,2,Widowed,Priv-house-serv,Not-in-family,Black,Female,0,0,15,United-States,<=50K +54,Private,159755,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +31,Private,113364,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +31,Private,487742,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,304710,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +54,Local-gov,185846,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +42,Private,212894,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,40,United-States,<=50K +57,Self-emp-not-inc,315460,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,<=50K +49,Private,135643,HS-grad,9,Widowed,Craft-repair,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K +40,Private,220977,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,India,>50K +19,?,117444,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +38,Private,202683,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,164866,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K +43,Private,191814,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +32,?,227160,Some-college,10,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,158077,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,191103,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,>50K +25,Private,193701,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +40,Private,143046,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,Private,206297,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +35,Self-emp-not-inc,188563,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +53,Private,35102,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,34,United-States,<=50K +21,Private,203055,Some-college,10,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Private,309932,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,243432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,177107,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +64,Self-emp-not-inc,113929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +19,?,291509,12th,8,Never-married,?,Own-child,White,Male,0,0,28,United-States,<=50K +40,Private,222011,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,3325,0,40,United-States,<=50K +34,Private,186824,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,70,United-States,<=50K +46,Private,192768,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,234962,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +32,Private,83253,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,248990,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,346159,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,272656,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,>50K +22,Private,60552,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +29,State-gov,33798,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +38,Self-emp-not-inc,112158,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K +55,Private,200992,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +26,Private,98155,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,79586,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,60,United-States,<=50K +25,State-gov,143062,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,101146,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K +18,?,284450,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +58,State-gov,159021,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,353270,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,162312,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,45,South,<=50K +49,State-gov,231961,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,>50K +38,Private,181943,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +21,Private,163595,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +28,Private,130856,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Private,208875,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,El-Salvador,>50K +29,Self-emp-not-inc,58744,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K +48,Private,116641,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +40,Private,69333,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,320811,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Private,197886,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +57,Self-emp-not-inc,253914,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,Mexico,<=50K +24,Private,89154,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +32,Private,372317,9th,5,Separated,Other-service,Unmarried,White,Female,0,0,23,Mexico,<=50K +18,Self-emp-not-inc,296090,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,48,?,<=50K +39,Private,192614,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,56,United-States,<=50K +39,Private,403489,11th,7,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,169652,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +20,Private,217467,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,?,162104,9th,5,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +54,Private,175912,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,179533,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,75,United-States,>50K +27,Private,149624,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +27,Private,289147,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,347720,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,406978,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +17,Private,193199,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,12,Poland,<=50K +37,Self-emp-inc,163998,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +49,Private,173115,10th,6,Separated,Exec-managerial,Not-in-family,Black,Male,4416,0,99,United-States,<=50K +33,Private,333701,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +21,State-gov,48121,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,1602,10,United-States,<=50K +45,Private,186256,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,104525,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,104097,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,60,United-States,<=50K +71,Private,212806,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K +23,Local-gov,203353,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K +41,Private,130126,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +21,?,270043,10th,6,Never-married,?,Unmarried,White,Female,0,0,30,United-States,<=50K +47,Private,218435,HS-grad,9,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,20,Cuba,<=50K +30,Private,154120,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +40,Private,193537,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Dominican-Republic,<=50K +44,Private,84535,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +50,Private,150999,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +31,State-gov,157673,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,217424,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,24,United-States,<=50K +45,Private,358886,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,2407,0,50,United-States,<=50K +38,Private,186191,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +78,Self-emp-inc,212660,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +31,Self-emp-inc,31740,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,498785,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,35945,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,45,United-States,>50K +46,Local-gov,162566,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,Canada,<=50K +30,Private,118861,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +34,Private,206609,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,35,United-States,<=50K +30,Federal-gov,423064,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Male,0,0,35,United-States,<=50K +47,Private,191957,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +40,Private,223934,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,17,United-States,>50K +62,?,129246,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,195486,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,70,Jamaica,<=50K +40,Private,114580,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Female,0,0,40,Vietnam,<=50K +20,Private,119215,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,240554,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Private,199067,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,42,United-States,>50K +51,Private,144084,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,358682,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,59612,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,State-gov,391585,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +30,Local-gov,101345,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,26,United-States,<=50K +20,Private,117618,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,231238,9th,5,Separated,Farming-fishing,Unmarried,Black,Male,0,0,40,United-States,<=50K +42,Local-gov,143046,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,326857,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,2415,65,United-States,>50K +43,Private,203642,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +62,Private,88579,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,240517,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,70,United-States,<=50K +58,Local-gov,156649,1st-4th,2,Widowed,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +30,Private,143392,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,365465,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,70,Philippines,<=50K +22,State-gov,264710,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +64,State-gov,223830,9th,5,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +42,Private,154374,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +43,State-gov,242521,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,124569,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,209230,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K +21,Private,162228,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +45,Federal-gov,60267,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,76901,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,137876,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +70,Self-emp-not-inc,347910,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +27,Local-gov,138917,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Private,532379,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,31532,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,30973,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,117295,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +32,Private,295282,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +42,Private,190786,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,246207,Bachelors,13,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +50,Private,130780,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,186212,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,175526,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,207025,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,38,United-States,<=50K +39,Federal-gov,82622,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Private,199688,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,?,>50K +38,State-gov,318886,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,52,United-States,<=50K +18,Private,256005,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,217715,5th-6th,3,Never-married,Sales,Not-in-family,White,Female,0,0,3,United-States,<=50K +50,Private,205803,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +82,Self-emp-not-inc,240491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K +33,Private,154120,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +37,Private,69251,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +24,Private,333505,HS-grad,9,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,40,Peru,<=50K +31,Private,168521,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +59,Private,193568,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,426895,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K +47,Self-emp-not-inc,131826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,79646,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,167031,Bachelors,13,Never-married,Prof-specialty,Unmarried,Other,Female,0,0,33,United-States,<=50K +34,Private,73199,11th,7,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +50,Private,114056,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,84,United-States,<=50K +57,Self-emp-not-inc,110417,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,<=50K +60,Private,33266,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,154410,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +56,?,154537,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,50,United-States,>50K +18,Private,27780,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +26,Private,142914,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,75,United-States,<=50K +37,Private,190987,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,7298,0,40,United-States,>50K +20,Private,314422,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +29,Local-gov,273771,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,175083,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,52,United-States,<=50K +21,Private,63665,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +24,Local-gov,193416,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,74275,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,122609,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,225456,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +36,Local-gov,116892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,196971,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,72,United-States,<=50K +20,Private,105312,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Private,108699,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +44,Private,171615,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,388023,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +39,Private,181553,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +45,Private,170850,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,>50K +28,Private,187479,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,277720,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +48,Local-gov,493862,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,7298,0,38,United-States,>50K +27,Private,220754,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K +34,Self-emp-not-inc,209768,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,93225,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Federal-gov,341709,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,236242,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +21,Private,121889,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +18,Private,318190,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +63,Self-emp-not-inc,111306,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Female,0,0,10,United-States,<=50K +18,Private,198614,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,8,United-States,<=50K +32,Private,193231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,?,104614,11th,7,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,172368,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,60331,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +38,Private,154568,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +36,Private,192939,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +43,Private,138184,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,1762,35,United-States,<=50K +45,Private,238567,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,England,>50K +30,Private,208068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +46,Private,181810,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,4064,0,40,United-States,<=50K +24,Federal-gov,283918,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,25,United-States,<=50K +42,Private,107276,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,2444,40,United-States,>50K +23,Private,37783,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,263552,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,255439,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,344275,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +31,Private,70568,1st-4th,2,Never-married,Other-service,Other-relative,White,Female,0,0,25,El-Salvador,<=50K +18,Private,127827,12th,8,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +36,Private,185203,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,123436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +51,Self-emp-not-inc,136322,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1579,40,United-States,<=50K +22,Private,187052,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +72,Private,177769,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +61,Private,68268,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +42,Private,424855,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3908,0,40,United-States,<=50K +37,Federal-gov,81853,HS-grad,9,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K +30,Self-emp-inc,153549,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,271393,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,198148,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,469602,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +36,Private,163290,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,295949,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,125279,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +64,Local-gov,182866,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,111563,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,>50K +38,Private,34173,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +27,Private,183627,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +24,Private,197757,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +39,Private,98941,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +44,Private,205474,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Private,206659,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +73,?,191394,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,244661,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +53,Private,47396,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +43,State-gov,270721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +57,State-gov,32694,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,171256,Assoc-acdm,12,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,45,United-States,<=50K +59,Private,169982,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,50,United-States,<=50K +52,Self-emp-not-inc,217210,HS-grad,9,Widowed,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +46,Private,218329,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,386643,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +37,Federal-gov,125933,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,155767,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +39,Federal-gov,432555,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1628,40,United-States,<=50K +30,Private,54929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +59,Private,162136,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K +22,Private,256504,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,162098,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +39,Self-emp-not-inc,103110,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,227610,10th,6,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,58,United-States,<=50K +63,Private,176696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Private,220019,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,242984,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,187847,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,Private,132636,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +20,Private,108887,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,195897,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,112181,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,12,United-States,>50K +56,Local-gov,391926,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,195505,10th,6,Never-married,Sales,Own-child,White,Male,0,0,5,United-States,<=50K +31,Private,43819,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,43,United-States,>50K +23,Private,145389,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +33,?,186824,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +36,Local-gov,101833,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,82283,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +52,Private,99602,HS-grad,9,Separated,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Private,213276,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +59,Private,424468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +30,Private,176123,10th,6,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +32,Private,38797,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,101859,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Private,87158,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,205066,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +26,Private,56929,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,50,?,<=50K +34,Private,25322,Bachelors,13,Married-spouse-absent,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,2339,40,?,<=50K +31,Private,87950,Assoc-voc,11,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +34,Private,150154,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,142076,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,4787,0,39,United-States,>50K +30,State-gov,112139,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,149217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +27,Private,189974,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,109199,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,190290,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,189404,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,35,United-States,>50K +33,Federal-gov,428271,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +22,State-gov,134192,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K +47,Private,168211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +34,Private,277314,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Black,Male,0,1902,50,United-States,>50K +44,Federal-gov,316120,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K +41,Private,107276,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +45,?,112453,HS-grad,9,Separated,?,Not-in-family,Asian-Pac-Islander,Male,0,0,4,United-States,<=50K +24,Private,346909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,Mexico,<=50K +65,?,105017,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,317360,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +23,Private,189017,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +54,Private,138179,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,299813,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,37,Dominican-Republic,<=50K +45,Private,265083,5th-6th,3,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,35,Mexico,<=50K +50,Private,185846,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,184655,Assoc-acdm,12,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +24,Private,200295,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,117319,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +50,Private,63000,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +58,Self-emp-not-inc,106942,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Private,52795,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K +37,Private,51264,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,France,>50K +37,Self-emp-not-inc,410919,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +22,Private,105592,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +29,Self-emp-not-inc,183151,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +45,Private,209912,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +49,Self-emp-not-inc,275845,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +44,Local-gov,241851,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,4386,0,40,United-States,>50K +72,Private,89299,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +63,Self-emp-not-inc,106648,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,12,United-States,<=50K +26,Private,58426,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +58,Self-emp-not-inc,121912,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +40,Private,170730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,257555,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,51499,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +28,Private,195000,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,45,United-States,<=50K +57,Private,108741,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,184964,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +44,Private,156815,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,49325,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,121718,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Germany,<=50K +18,Private,172076,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +57,Self-emp-not-inc,327901,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +53,Local-gov,215990,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +38,Private,210866,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +33,Private,322873,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Private,265698,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +70,?,26990,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,177896,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,189107,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,306830,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Nicaragua,<=50K +72,Federal-gov,39110,11th,7,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,Canada,<=50K +33,Private,155475,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,135803,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K +48,Private,117849,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +64,Self-emp-not-inc,339321,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K +19,Private,318822,11th,7,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,174794,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,204277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,48,United-States,>50K +55,Private,182460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,35,United-States,>50K +24,Private,193920,Masters,14,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,?,<=50K +42,Federal-gov,91468,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,106760,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,Canada,>50K +34,Private,375680,Assoc-acdm,12,Never-married,Craft-repair,Own-child,Black,Female,0,0,40,United-States,<=50K +55,Self-emp-inc,222615,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,190968,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,76767,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Self-emp-not-inc,203098,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +47,Local-gov,162187,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +25,Private,242729,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,253784,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +30,Private,206051,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,181553,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +73,Self-emp-inc,80986,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,200783,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,Private,42596,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,464502,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,0,0,40,?,<=50K +66,Private,205724,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,>50K +22,Private,446140,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +69,Local-gov,32287,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,<=50K +23,Private,56774,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,308118,Bachelors,13,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,?,<=50K +35,Private,176279,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +20,Private,103277,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +70,Self-emp-inc,225780,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +54,Private,154728,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K +34,Private,149943,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +38,State-gov,22245,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Private,93056,7th-8th,4,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,270522,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,26,United-States,<=50K +60,Self-emp-inc,123218,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +81,Self-emp-not-inc,123959,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,1668,3,Hungary,<=50K +32,Self-emp-not-inc,103642,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +34,Private,157747,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +46,Self-emp-not-inc,154083,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,State-gov,23037,Some-college,10,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,84,United-States,<=50K +23,?,226891,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K +29,Private,50028,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,138251,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,369825,7th-8th,4,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K +36,Federal-gov,44364,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,36,United-States,<=50K +23,Private,230704,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,22,United-States,<=50K +35,Private,42044,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +28,Local-gov,56340,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,State-gov,156015,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,163434,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,85251,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +38,Self-emp-inc,187411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,155124,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +25,Private,396633,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,56,United-States,>50K +45,Private,182313,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +38,Private,52596,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +66,?,260111,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +65,Local-gov,143570,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,160634,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +54,Private,29909,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,43,United-States,<=50K +49,Private,94215,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,151990,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,United-States,>50K +48,Federal-gov,188081,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,218445,5th-6th,3,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,12,Mexico,<=50K +77,Private,235775,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Cuba,<=50K +19,Private,98605,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,188398,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Self-emp-inc,140365,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +35,Private,202950,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Iran,>50K +20,Private,218215,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +66,Self-emp-inc,197816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,40,United-States,>50K +49,Private,147002,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +52,Private,138497,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +24,Private,57711,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +50,Private,169925,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +22,Private,72310,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +19,Private,170800,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +39,Private,215095,11th,7,Never-married,Prof-specialty,Unmarried,White,Female,0,0,30,Puerto-Rico,<=50K +45,Private,480717,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,38,?,<=50K +61,Local-gov,34632,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +45,Private,140664,Assoc-acdm,12,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +36,Local-gov,177858,Bachelors,13,Married-civ-spouse,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,160369,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,45,United-States,>50K +38,Private,129102,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +52,Local-gov,278522,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +29,Federal-gov,124953,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K +33,Private,63184,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,165815,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,248584,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +46,Local-gov,226871,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,50,United-States,>50K +44,Private,267717,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +19,Private,60367,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,13,United-States,<=50K +44,Private,134120,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +40,Private,95639,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,132053,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K +24,Private,138768,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +76,Private,203910,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,17,United-States,<=50K +20,Private,109952,HS-grad,9,Married-civ-spouse,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,155781,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +31,Private,49398,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,159303,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,248339,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +29,Private,190539,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,50,United-States,<=50K +30,Private,183620,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +48,Private,25468,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,99999,0,50,United-States,>50K +42,Private,201495,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,52221,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,96460,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +42,Private,325353,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,42,United-States,>50K +28,Self-emp-not-inc,176027,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +42,Local-gov,266135,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K +60,State-gov,194252,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,3103,0,40,United-States,>50K +76,?,164835,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,Private,363192,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,31360,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,63503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,157614,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,38,United-States,<=50K +45,Private,160647,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,4687,0,35,United-States,>50K +38,Private,363395,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,338376,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +29,Private,87523,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,280714,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,119565,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,171482,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +40,Self-emp-inc,49249,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,Private,331552,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +45,Private,174426,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,184105,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,28,United-States,<=50K +29,Private,37933,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,291529,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,13,United-States,>50K +23,Private,376416,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,263612,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,Haiti,<=50K +23,Private,227471,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +39,Private,191103,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,35644,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-not-inc,227298,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,State-gov,187508,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,184378,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Puerto-Rico,<=50K +52,Self-emp-not-inc,190333,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K +48,Private,155372,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,36,United-States,<=50K +37,Private,259882,Assoc-voc,11,Never-married,Sales,Unmarried,Black,Female,0,0,6,United-States,<=50K +36,Private,217077,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,103596,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,188236,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +24,Private,353010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,10,United-States,<=50K +42,Local-gov,70655,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,64874,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,219240,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,22,United-States,<=50K +50,Self-emp-inc,104849,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +40,Private,173590,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,412316,HS-grad,9,Never-married,Sales,Other-relative,Black,Male,0,0,40,?,<=50K +57,Self-emp-inc,195835,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,170579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +61,Federal-gov,230545,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +71,Private,162297,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K +47,Private,169549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,117528,Bachelors,13,Never-married,Other-service,Other-relative,White,Female,0,0,45,United-States,<=50K +25,Private,273876,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +33,Private,529104,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +40,State-gov,456110,11th,7,Divorced,Transport-moving,Unmarried,White,Female,0,0,52,United-States,<=50K +39,?,180868,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Private,170301,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,2829,0,40,United-States,<=50K +33,Private,55717,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,166181,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,36,United-States,<=50K +24,Private,52242,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +28,Private,224629,Masters,14,Never-married,Exec-managerial,Not-in-family,Other,Male,0,0,30,Cuba,<=50K +20,Private,197997,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,46144,Some-college,10,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +34,State-gov,180871,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K +25,Private,212311,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,232874,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,175999,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,177121,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,58,United-States,<=50K +57,Private,299358,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,1719,25,United-States,<=50K +20,?,326624,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,129836,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,10,United-States,<=50K +24,Private,225515,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,145664,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +37,Private,151764,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,183523,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +54,Private,257869,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,28,Columbia,<=50K +40,Private,73025,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,China,<=50K +18,Private,165532,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +51,Federal-gov,140035,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,325159,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +64,Federal-gov,161926,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,8,United-States,<=50K +24,Private,163665,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,2174,0,40,United-States,<=50K +33,Private,106938,HS-grad,9,Married-civ-spouse,Tech-support,Wife,Black,Female,0,0,38,United-States,<=50K +31,Private,97453,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,242464,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3103,0,40,United-States,>50K +54,Private,155233,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,14084,0,40,United-States,>50K +31,Private,248653,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,37,Mexico,<=50K +39,Private,59313,12th,8,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,45,?,<=50K +22,Private,141297,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,227325,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Private,123653,5th-6th,3,Separated,Other-service,Not-in-family,White,Male,0,0,12,Italy,<=50K +59,Federal-gov,176317,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +35,Self-emp-not-inc,77146,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,45,United-States,<=50K +25,Private,169124,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,179413,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,180137,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,<=50K +17,State-gov,179319,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +19,Private,45766,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,152810,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K +59,Private,214052,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,201141,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +74,Self-emp-not-inc,43599,HS-grad,9,Widowed,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Private,292536,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,82161,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,180656,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +20,Private,181370,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +80,Private,148623,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +51,Private,84399,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,143331,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +37,Federal-gov,48779,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,?,175495,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,24,United-States,<=50K +58,Private,83542,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,214619,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,160035,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Federal-gov,39603,Some-college,10,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +36,Private,181589,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,Columbia,<=50K +33,Private,261511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,29522,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,36340,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +41,Private,320984,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +57,?,403625,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,60,United-States,>50K +23,Private,122346,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,105794,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,50,United-States,>50K +53,Private,152883,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,State-gov,123037,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,13,United-States,<=50K +41,?,339682,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,182074,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +30,Private,248588,12th,8,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,187584,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Canada,<=50K +36,Private,46706,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,190290,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-not-inc,247294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Peru,<=50K +22,Private,117779,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,121602,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,451744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,107793,HS-grad,9,Divorced,Other-service,Own-child,White,Male,2174,0,40,United-States,<=50K +35,Private,339772,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,185582,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,43,United-States,<=50K +26,Private,260614,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Local-gov,53220,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,213844,HS-grad,9,Married-AF-spouse,Craft-repair,Wife,Black,Female,0,0,42,United-States,>50K +33,Private,213226,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,58582,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,10,United-States,<=50K +52,Private,193116,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +38,Local-gov,201410,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +57,Self-emp-not-inc,138285,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Iran,<=50K +51,Private,111939,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +50,Private,109277,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,331539,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,China,>50K +32,Private,396745,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,48,United-States,>50K +37,Private,126675,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,349022,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,33,United-States,<=50K +33,?,98145,Some-college,10,Divorced,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +37,Private,234901,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K +36,Private,100681,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,2463,0,40,United-States,<=50K +47,Self-emp-not-inc,265097,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +63,Private,237379,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,44793,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,65,United-States,<=50K +17,Private,270942,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K +56,Private,193622,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +90,Local-gov,187749,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +27,Private,160178,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +38,Private,680390,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +33,Private,96245,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,34803,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,170091,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +42,Private,231813,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,23789,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,State-gov,438711,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +66,Private,169804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +66,Local-gov,376506,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,3273,0,40,United-States,<=50K +49,Private,28791,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,162814,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,45,United-States,<=50K +38,Private,58108,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Self-emp-inc,102226,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Federal-gov,209131,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +46,Self-emp-not-inc,157117,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,172865,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,29798,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +71,?,229424,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Local-gov,80680,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1151,0,35,United-States,<=50K +52,Local-gov,238959,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,32,United-States,>50K +27,Private,189462,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,46,United-States,<=50K +52,Private,139347,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,188108,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,4101,0,40,United-States,<=50K +37,Self-emp-inc,111128,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +28,Private,81540,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,257562,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,59496,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,29974,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,102597,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +69,Private,41419,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,118565,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +54,State-gov,312897,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,England,>50K +17,Private,166290,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,160261,HS-grad,9,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Male,14084,0,35,China,>50K +32,Self-emp-not-inc,116834,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,5,?,<=50K +23,Private,203076,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +66,Private,201197,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +61,Private,273803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,156797,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,283896,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,149368,HS-grad,9,Divorced,Sales,Unmarried,White,Male,1151,0,30,United-States,<=50K +49,Private,156926,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +21,?,163911,Some-college,10,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K +56,Self-emp-inc,165881,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +25,Private,86872,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,167523,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,154950,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +40,Federal-gov,171231,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +62,Private,244933,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +54,Private,256908,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,>50K +34,Self-emp-not-inc,33442,Assoc-voc,11,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +18,Private,126142,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +28,?,268222,11th,7,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +32,Private,167106,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +22,Local-gov,50065,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +34,State-gov,252529,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +53,?,199665,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +47,Private,343579,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +19,Private,190817,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,151089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,55,United-States,>50K +46,Private,186820,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,5013,0,40,United-States,<=50K +56,Self-emp-not-inc,210731,7th-8th,4,Divorced,Sales,Other-relative,White,Male,0,0,20,Mexico,<=50K +42,Private,123816,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,77071,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,2339,35,United-States,<=50K +42,Private,115085,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,170525,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K +17,Private,209949,11th,7,Never-married,Sales,Own-child,White,Female,0,1602,12,United-States,<=50K +57,Self-emp-not-inc,34297,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,180985,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Local-gov,33365,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Canada,<=50K +20,Private,197752,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,16,United-States,<=50K +47,Private,180551,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,77975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,159297,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,?,>50K +48,Private,94342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +39,Self-emp-inc,34180,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +46,Local-gov,367251,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +72,Self-emp-inc,172407,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +53,Private,303462,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +47,Federal-gov,220269,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,45093,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,Canada,<=50K +34,Private,101709,HS-grad,9,Separated,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +41,Private,219591,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,76625,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,342599,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +42,Self-emp-inc,125846,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,<=50K +54,Local-gov,238257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Self-emp-inc,206253,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,172571,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,95165,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +69,Private,141181,5th-6th,3,Married-civ-spouse,Adm-clerical,Husband,White,Male,1797,0,40,United-States,<=50K +24,Private,267843,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K +36,Private,181382,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +21,?,207782,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +68,?,103161,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,32,United-States,<=50K +20,Private,132320,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,201138,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,239058,12th,8,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,50,United-States,<=50K +39,Self-emp-inc,239755,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +21,Private,176262,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K +22,Private,264738,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,42,Germany,<=50K +34,Private,182218,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,318982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +46,Private,216666,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K +47,Private,274200,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +65,Private,150095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,192978,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,68021,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Self-emp-not-inc,28568,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +20,Private,115057,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,139568,11th,7,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,138497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +40,State-gov,182460,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,38,China,>50K +22,Private,253310,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,7,United-States,<=50K +29,Self-emp-inc,130856,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +31,Self-emp-not-inc,389765,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +42,Federal-gov,52781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +38,Private,146178,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,Private,231053,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,>50K +21,?,145964,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,483450,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K +43,Self-emp-inc,198316,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,160614,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +17,Self-emp-inc,325171,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +54,Self-emp-not-inc,172898,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,50,United-States,>50K +45,Private,186473,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Local-gov,286967,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-not-inc,111939,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,>50K +65,Federal-gov,325089,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,143582,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K +40,Private,308027,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +58,Private,105060,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +53,Federal-gov,39643,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,58,United-States,<=50K +39,Private,186191,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,50,United-States,>50K +56,Local-gov,267763,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,124293,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,36271,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,143459,9th,5,Separated,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K +36,Private,186376,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +59,Self-emp-inc,52822,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,104509,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,184456,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K +26,Private,192302,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +22,Private,156822,10th,6,Never-married,Sales,Not-in-family,White,Female,0,1762,25,United-States,<=50K +25,Private,214413,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,108574,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K +41,Private,223934,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +45,Private,200559,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +43,Private,137722,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,261677,9th,5,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +33,Private,136331,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +34,Private,329993,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,91819,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Private,201122,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K +48,Private,315423,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,103277,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +47,Private,236805,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,60,United-States,<=50K +27,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +18,Private,115443,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +43,Private,150528,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,43701,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Federal-gov,419053,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,183594,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,390348,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,36989,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,3908,0,70,United-States,<=50K +48,Private,247895,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +75,Private,191446,1st-4th,2,Married-civ-spouse,Other-service,Other-relative,Black,Female,0,0,16,United-States,<=50K +43,Self-emp-not-inc,33521,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K +64,Private,46087,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +67,?,129188,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,20051,0,5,United-States,>50K +36,Private,356824,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,158746,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,153323,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,20,United-States,<=50K +73,Self-emp-not-inc,130391,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,36,United-States,<=50K +46,Private,173613,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,362883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +43,Private,182757,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,50397,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +43,Federal-gov,101709,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +21,Private,202570,12th,8,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,48,?,<=50K +40,Private,145649,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +36,Private,136343,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +64,Self-emp-inc,142166,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,?,242001,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,127089,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,38,United-States,>50K +46,Local-gov,124071,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,65,United-States,>50K +41,Local-gov,190368,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +29,?,19793,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,8,United-States,<=50K +28,Private,67661,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +23,Private,62278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +30,Federal-gov,295010,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,60,United-States,>50K +44,Private,203897,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,Cuba,<=50K +27,Private,265314,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +25,Private,159603,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,34,United-States,<=50K +29,Private,134331,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,123011,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,>50K +27,Private,274964,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +34,Private,66309,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +38,Private,73471,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,?,26671,HS-grad,9,Never-married,?,Other-relative,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +56,Private,357118,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +35,Self-emp-inc,184655,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K +23,?,55492,Assoc-voc,11,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K +23,Private,175266,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,188008,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +42,Private,87284,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K +46,Private,330087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +48,Self-emp-inc,56975,HS-grad,9,Divorced,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,84,?,<=50K +27,Private,150025,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +22,?,189203,Assoc-acdm,12,Never-married,?,Other-relative,White,Male,0,0,15,United-States,<=50K +49,Self-emp-inc,330874,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +23,Private,136824,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,201179,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,324654,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K +25,Federal-gov,366207,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,103860,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,106700,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,27,United-States,<=50K +54,Local-gov,163557,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Self-emp-inc,286261,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,123083,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +75,Self-emp-inc,125197,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,26,United-States,<=50K +28,Self-emp-not-inc,278073,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,30,United-States,<=50K +50,Private,133963,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +62,Self-emp-not-inc,71467,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +40,Private,76487,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,215245,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,United-States,<=50K +24,Federal-gov,127185,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,179720,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +40,Private,88909,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +45,Private,341995,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,42,United-States,>50K +48,Private,173938,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,344275,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +23,Private,150463,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Other,Female,0,0,40,Guatemala,<=50K +43,Local-gov,209544,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,50,United-States,>50K +42,Local-gov,201723,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,343476,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,Japan,>50K +52,Self-emp-inc,77392,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +21,?,171156,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +56,Self-emp-not-inc,357118,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +48,Federal-gov,167749,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Self-emp-not-inc,352882,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,70,South,>50K +25,Private,51201,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +40,Private,365986,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,>50K +34,Private,400416,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,45,United-States,<=50K +52,Private,31533,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,106900,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1902,42,United-States,>50K +36,Local-gov,192337,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,118712,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K +28,Private,301654,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,145162,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,?,>50K +20,Private,88126,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,9,England,<=50K +68,Private,165017,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Italy,>50K +35,Private,238342,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,857532,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +64,Private,134378,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,Private,260797,10th,6,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,23,United-States,<=50K +25,Private,138765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +74,?,256674,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +31,Private,247444,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Columbia,<=50K +51,State-gov,454063,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +67,Private,180539,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K +42,Private,397346,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +29,Private,107160,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,262024,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,131230,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +67,Private,274451,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +41,State-gov,365986,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +27,Private,204515,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +51,Private,99316,12th,8,Divorced,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +21,?,206681,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +28,Private,268726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +21,Private,275395,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,383322,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +29,Private,126822,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +39,Self-emp-inc,168355,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +21,Private,162667,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K +43,Private,373403,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,274562,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,14344,0,40,United-States,>50K +28,Private,249362,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,111567,9th,5,Never-married,Sales,Not-in-family,White,Male,0,0,43,United-States,>50K +18,?,216508,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +27,Private,145784,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K +34,State-gov,209317,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,259505,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,345360,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,England,<=50K +43,Local-gov,198096,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +40,Self-emp-inc,33126,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,206354,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +25,Private,1484705,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K +21,Private,26410,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Self-emp-not-inc,220901,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +49,Self-emp-inc,44671,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,38620,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +36,Private,89040,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,47,United-States,<=50K +32,Private,370160,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,208946,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,32,United-States,<=50K +21,Private,131230,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K +25,Private,60358,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,350853,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K +24,Private,209782,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,351952,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +26,Private,142081,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Mexico,<=50K +22,Private,164775,9th,5,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Guatemala,<=50K +41,Local-gov,47858,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +18,Private,404085,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,218678,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,184655,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,48,United-States,<=50K +36,Private,321760,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K +45,Local-gov,185399,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K +38,Local-gov,409200,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +38,Private,40077,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +34,Self-emp-not-inc,31740,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Local-gov,233722,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,192039,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +17,Private,222618,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,30,United-States,<=50K +45,State-gov,213646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +31,Local-gov,194141,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +47,State-gov,80282,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,166350,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Federal-gov,60641,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +33,Private,124827,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,105438,HS-grad,9,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,85244,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,120535,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Local-gov,269604,5th-6th,3,Never-married,Other-service,Unmarried,Other,Female,0,0,40,El-Salvador,<=50K +27,Private,247711,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,380922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +24,Private,281221,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K +23,Private,269687,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,181758,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Federal-gov,136787,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +22,Private,107882,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,172579,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,29933,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +35,Federal-gov,38905,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,168826,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,424034,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Private,117509,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,?,196971,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K +64,Private,69525,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,20,United-States,<=50K +22,Private,374116,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +27,Private,283913,5th-6th,3,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,65,England,<=50K +36,State-gov,147258,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,139903,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +52,Private,112959,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,264148,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,256211,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,24,Vietnam,<=50K +29,Self-emp-not-inc,142519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,281852,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,80,United-States,<=50K +38,Private,380543,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +50,Self-emp-not-inc,204402,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,>50K +50,Private,192203,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,199005,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +17,Self-emp-inc,61838,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,210095,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Female,0,0,40,Mexico,<=50K +19,Private,187352,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,32451,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,140569,Some-college,10,Separated,Sales,Not-in-family,White,Male,14084,0,60,United-States,>50K +39,Private,87556,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K +18,Private,79443,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +27,Private,212622,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,32650,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +44,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,219867,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +32,Local-gov,206609,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,101299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,29437,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +65,Private,87164,11th,7,Widowed,Sales,Other-relative,White,Female,0,0,20,United-States,<=50K +57,Self-emp-inc,146103,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +48,Private,169324,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,32,Haiti,<=50K +46,Private,138370,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,1651,40,China,<=50K +27,Private,29523,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Local-gov,383745,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1485,40,United-States,>50K +21,?,247075,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,25,United-States,<=50K +20,?,200967,Some-college,10,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +51,?,175985,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,189404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,40,United-States,<=50K +29,Self-emp-not-inc,267661,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +30,Local-gov,182926,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,United-States,>50K +65,Private,243858,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +20,?,43587,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +47,Federal-gov,31339,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,204682,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,2174,0,40,Japan,<=50K +17,Private,73145,9th,5,Never-married,Craft-repair,Own-child,White,Female,0,0,16,United-States,<=50K +38,Local-gov,218184,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +38,Local-gov,223237,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,93319,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,4,United-States,<=50K +24,?,212300,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,38,United-States,<=50K +52,Private,187356,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,41,United-States,<=50K +46,Self-emp-not-inc,220832,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,58,United-States,>50K +22,Private,211361,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +56,Private,134195,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Self-emp-not-inc,218249,11th,7,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,30,United-States,<=50K +59,Private,70720,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,55,United-States,>50K +19,Self-emp-not-inc,342384,11th,7,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,2129,55,United-States,<=50K +31,Private,237317,9th,5,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,45,United-States,<=50K +22,Private,359759,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +48,Self-emp-not-inc,181758,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,>50K +63,Self-emp-inc,267101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,222221,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +53,Private,55139,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,10,United-States,<=50K +38,Private,220237,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +39,Private,101073,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +59,Private,69884,Prof-school,15,Married-spouse-absent,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K +45,Private,201127,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,164733,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +60,State-gov,129447,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,32837,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,56,United-States,<=50K +31,Private,200117,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,219183,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +66,?,188842,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +26,Private,272669,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,20,South,<=50K +60,Self-emp-inc,336188,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,80,United-States,>50K +68,?,191288,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Private,176185,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Male,0,0,60,United-States,<=50K +25,Local-gov,197728,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Local-gov,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K +26,?,133373,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,44,United-States,<=50K +55,Private,197399,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +66,Private,86010,10th,6,Widowed,Transport-moving,Not-in-family,White,Female,0,0,11,United-States,<=50K +31,Private,228873,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,187415,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,50,?,<=50K +58,Self-emp-inc,112945,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K +56,Private,98361,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +22,Private,129172,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +46,Local-gov,316205,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +33,Private,226629,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +26,State-gov,180886,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +42,Self-emp-not-inc,69333,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,213620,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,197397,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Other,Female,0,0,6,Puerto-Rico,<=50K +19,Private,223648,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,?,<=50K +27,Private,179915,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,99,United-States,<=50K +51,Private,339905,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +42,Private,112956,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,421837,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,Mexico,>50K +38,Private,187999,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +44,Private,77313,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,231948,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,64,United-States,>50K +37,Private,37109,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,60,Philippines,<=50K +29,Private,79387,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +53,?,133963,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,177937,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,45,Poland,<=50K +80,Private,173488,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +61,Private,183355,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,147989,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,52,United-States,<=50K +20,Private,289944,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,62278,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,110457,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,295763,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,United-States,<=50K +71,State-gov,100063,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +49,Private,194962,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,6,United-States,<=50K +39,Federal-gov,227597,HS-grad,9,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,117606,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +67,Federal-gov,44774,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,177648,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +38,Private,172571,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,54,United-States,>50K +38,?,203482,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +50,Private,153931,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,84774,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,157127,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +26,Private,170786,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,281030,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,203761,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,10520,0,40,United-States,>50K +27,Private,167405,HS-grad,9,Married-spouse-absent,Farming-fishing,Own-child,White,Female,0,0,40,Mexico,<=50K +40,Local-gov,188436,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,40,United-States,>50K +43,Private,388849,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +31,State-gov,176998,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +57,Private,200316,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,160300,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +22,Private,236684,Assoc-voc,11,Never-married,Other-service,Own-child,Black,Female,0,0,36,United-States,<=50K +20,Local-gov,247794,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,267325,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,3464,0,40,United-States,<=50K +39,Private,279490,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Mexico,<=50K +27,State-gov,280618,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,248406,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +31,Local-gov,226494,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Private,220460,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +25,Private,108317,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,State-gov,147256,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,>50K +22,Private,110371,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +62,Private,114060,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,91,United-States,<=50K +29,Federal-gov,31161,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Other,Female,0,0,40,United-States,<=50K +44,Private,105862,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,70,United-States,>50K +32,Private,402089,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,2,United-States,<=50K +19,?,425447,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,137300,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +65,State-gov,326691,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +24,Private,275093,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,36,United-States,<=50K +37,Self-emp-not-inc,112497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,Local-gov,174491,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,114835,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,United-States,>50K +28,Private,137898,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,153151,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,4416,0,40,United-States,<=50K +32,Private,134886,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +38,Private,193815,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,237833,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,101593,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +27,Private,164924,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,174201,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +47,Local-gov,36169,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +55,Private,144071,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-not-inc,180859,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,8,United-States,<=50K +54,Private,221915,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Private,26892,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +21,Private,351084,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,97306,Bachelors,13,Divorced,Craft-repair,Unmarried,White,Female,0,0,25,United-States,<=50K +30,Private,185027,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,182539,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +22,Private,215395,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,37,United-States,<=50K +37,Private,186434,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K +41,?,217921,9th,5,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +52,Local-gov,346668,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,412952,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,167009,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +58,Private,316000,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,216256,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,341835,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,169841,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +26,Self-emp-not-inc,200681,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +46,Self-emp-not-inc,456956,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +26,Federal-gov,276075,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +50,Federal-gov,96657,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,Private,374313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +36,Private,110998,Masters,14,Widowed,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K +30,Private,53285,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +58,Private,104613,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +17,?,303317,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +72,Private,298070,Assoc-voc,11,Separated,Other-service,Unmarried,White,Female,6723,0,25,United-States,<=50K +19,Private,318822,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,375078,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Mexico,<=50K +20,?,232799,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K +30,Private,210851,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,213745,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +51,Private,204447,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,318934,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,237386,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +44,Private,182629,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,24,Iran,<=50K +43,Private,144778,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,117166,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +51,Private,237630,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,50,United-States,>50K +41,Private,171550,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,165302,Some-college,10,Divorced,Adm-clerical,Unmarried,Other,Female,0,0,40,United-States,<=50K +39,State-gov,42186,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,3464,0,20,United-States,<=50K +54,Private,284952,10th,6,Separated,Sales,Unmarried,White,Female,0,0,43,Italy,<=50K +62,Private,96099,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,198759,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,227886,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Female,0,0,35,Jamaica,<=50K +32,Private,391874,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,184370,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +84,Local-gov,135839,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,14,United-States,<=50K +46,Private,194698,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K +67,Local-gov,342175,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,2009,0,40,United-States,<=50K +29,Private,67218,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,205152,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +23,Private,434467,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,<=50K +63,?,110150,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K +55,?,123382,HS-grad,9,Separated,?,Not-in-family,Black,Female,0,2001,40,United-States,<=50K +42,State-gov,404573,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,99462,11th,7,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +60,Private,170310,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,199883,12th,8,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,70034,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,Portugal,<=50K +31,Private,393357,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,48,United-States,<=50K +65,?,249043,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,10605,0,40,United-States,>50K +31,Private,72630,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K +61,Private,223133,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,State-gov,345969,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +40,State-gov,195520,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,49,United-States,<=50K +39,Private,257942,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Local-gov,269300,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,27,United-States,<=50K +47,Private,137354,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +45,Federal-gov,232997,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,>50K +30,Private,77266,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +30,Self-emp-not-inc,164190,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,153536,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,44,United-States,>50K +51,Local-gov,26832,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,188096,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,72,United-States,>50K +48,Self-emp-inc,369522,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K +20,Private,110998,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K +32,Private,205152,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,40,United-States,>50K +31,?,163890,Some-college,10,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,358631,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,25,United-States,<=50K +50,Private,185354,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,336061,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +25,?,47011,Bachelors,13,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +49,Private,149949,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,40,United-States,<=50K +30,Private,59496,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,32950,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,109912,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,32,United-States,>50K +24,Private,199555,Assoc-voc,11,Never-married,Sales,Unmarried,White,Male,0,0,5,United-States,<=50K +28,Private,91299,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K +56,Private,99359,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1617,40,United-States,<=50K +38,Private,242559,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +20,Private,286391,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,2176,0,20,United-States,<=50K +82,Private,132870,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,4356,18,United-States,<=50K +52,Federal-gov,22428,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +32,Private,239150,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,170563,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +36,Private,173542,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,286026,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +30,Private,72887,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,Asian-Pac-Islander,Male,3411,0,40,United-States,<=50K +49,Local-gov,163229,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +40,Local-gov,165726,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,70055,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,184655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,139906,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,81,United-States,<=50K +32,Local-gov,198211,Assoc-voc,11,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,146540,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Local-gov,132304,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,190916,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Never-worked,237272,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,755858,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K +52,Private,127315,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,State-gov,304302,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +34,Private,184942,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,267989,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,188377,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,State-gov,221059,Masters,14,Married-civ-spouse,Prof-specialty,Other-relative,Other,Female,7688,0,38,United-States,>50K +26,Private,340787,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,140782,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,38,United-States,>50K +57,Private,169071,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,28,United-States,<=50K +36,Self-emp-not-inc,151094,Assoc-voc,11,Separated,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +27,Private,122922,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,151141,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +30,Private,136651,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +37,Private,177285,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,48,United-States,>50K +31,Local-gov,128016,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,200318,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,Private,250354,10th,6,Never-married,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K +58,Private,191069,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,27856,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K +44,Private,523484,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +39,Federal-gov,257175,Bachelors,13,Divorced,Tech-support,Unmarried,Black,Female,0,625,40,United-States,<=50K +59,Private,174864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,45,United-States,>50K +42,Private,196029,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +45,Private,200471,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +20,Private,353195,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +35,Private,222868,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,221791,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,<=50K +56,Private,197114,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +48,Private,160220,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +58,Self-emp-not-inc,274917,Masters,14,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Private,348460,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,112683,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +48,Private,345831,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,105370,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K +48,Private,345006,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +55,Private,195329,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,2202,0,35,Italy,<=50K +40,Local-gov,108765,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +50,Private,138022,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,175029,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +19,Private,189574,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +55,Self-emp-not-inc,141409,10th,6,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +36,Self-emp-not-inc,186035,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +39,Private,165235,Bachelors,13,Separated,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +22,Private,105043,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,230684,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +34,Private,345705,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1408,38,United-States,<=50K +33,Private,248584,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,436861,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,14084,0,40,United-States,>50K +35,Private,200153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +50,Private,398625,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,114043,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,169544,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,343849,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,162572,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +24,Private,291578,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,136162,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Self-emp-inc,376133,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,15,United-States,>50K +48,Self-emp-inc,302612,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +65,Local-gov,240166,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,193152,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,1408,40,United-States,<=50K +42,Private,248094,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,43,United-States,<=50K +44,Private,119281,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +73,Self-emp-not-inc,300404,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,6,United-States,>50K +21,Private,82847,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Self-emp-inc,161153,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1902,55,United-States,>50K +43,Federal-gov,287008,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,United-States,>50K +21,Private,654141,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K +30,Private,252646,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +54,Private,171924,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K +19,Private,219742,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +55,State-gov,153788,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +20,Private,60639,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,28,United-States,<=50K +53,Private,96062,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,<=50K +51,Private,165614,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +33,Private,159888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,110586,Some-college,10,Widowed,Priv-house-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,143062,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +17,Self-emp-inc,413557,9th,5,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,137658,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +36,Private,398931,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,311764,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,<=50K +58,Private,98725,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Private,140854,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +72,Private,97304,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,2346,0,40,?,<=50K +26,Federal-gov,352768,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,?,27184,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,38,United-States,<=50K +72,?,237229,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +60,Private,142494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +27,Private,210313,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Guatemala,<=50K +38,Private,194538,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +37,Self-emp-inc,26698,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,44,United-States,>50K +28,Private,211032,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,107909,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +29,Private,136077,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +19,Private,184737,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,1721,40,United-States,<=50K +28,Private,214689,Bachelors,13,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K +70,?,147558,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K +40,Self-emp-not-inc,93793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +26,Private,247025,Assoc-voc,11,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,284403,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,<=50K +29,Private,221977,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +25,Federal-gov,339956,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,161097,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +60,Private,223696,1st-4th,2,Divorced,Craft-repair,Not-in-family,Other,Male,0,0,38,Dominican-Republic,<=50K +31,Private,234500,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +51,Local-gov,97005,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,242615,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,174938,Bachelors,13,Divorced,Tech-support,Unmarried,White,Male,0,0,20,United-States,<=50K +35,Private,160120,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +48,Private,193775,Bachelors,13,Divorced,Adm-clerical,Own-child,White,Male,0,0,38,United-States,>50K +78,Self-emp-not-inc,59583,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +72,Private,157913,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,17,United-States,<=50K +24,Private,308205,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +58,?,158506,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +36,Private,201769,11th,7,Never-married,Protective-serv,Not-in-family,Black,Male,13550,0,40,United-States,>50K +48,Private,330470,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,184078,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,123384,Masters,14,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,330132,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +47,Private,274720,5th-6th,3,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Jamaica,<=50K +50,Private,129673,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +35,Federal-gov,205584,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +17,Private,327127,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,225892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +37,Private,224886,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,42,United-States,<=50K +35,Local-gov,27763,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +56,Private,73684,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +23,Private,107452,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,23871,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +79,Self-emp-inc,309272,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,469864,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +55,Private,286230,11th,7,Divorced,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +59,State-gov,186308,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,113062,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,86150,11th,7,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,19,Philippines,<=50K +41,Private,262038,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K +32,Private,279231,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K +67,?,188903,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,2414,0,40,United-States,<=50K +45,Private,183786,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +61,Private,339358,5th-6th,3,Married-civ-spouse,Farming-fishing,Other-relative,White,Female,0,0,45,Mexico,<=50K +34,Private,287737,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,99203,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,297449,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,50,United-States,>50K +35,Private,113481,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +65,Private,204042,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K +24,Private,43387,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,England,>50K +37,Private,99233,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,313729,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,99679,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +18,Private,169745,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,19914,Some-college,10,Widowed,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,15,United-States,<=50K +31,Private,113543,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +19,Private,224241,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +40,Self-emp-inc,137367,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,China,<=50K +32,Private,263908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,280798,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Local-gov,203849,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,62546,Doctorate,16,Separated,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +40,Private,197344,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +36,Private,93225,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +33,Private,187560,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K +23,State-gov,61743,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +21,Private,186648,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,173321,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,32,United-States,<=50K +53,State-gov,246820,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +20,?,424034,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +53,Self-emp-not-inc,291755,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,72,United-States,<=50K +58,Private,104945,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,60,United-States,<=50K +51,Private,85423,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +31,Private,214235,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,65,United-States,<=50K +35,Self-emp-not-inc,278632,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,?,27415,11th,7,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +31,Local-gov,143392,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +21,Private,277408,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +39,Self-emp-not-inc,336793,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +36,Private,184112,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,45,United-States,>50K +51,Private,74660,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,395026,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +32,Private,171215,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +56,Private,121362,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +35,Private,409200,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,268965,12th,8,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,136262,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,141323,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +52,Local-gov,108083,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,82210,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,State-gov,400943,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +35,Private,308489,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,50,United-States,<=50K +35,Private,187053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,60,United-States,>50K +38,Private,75826,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,413345,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +22,Private,356567,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,Private,223811,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,159313,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,250170,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +59,Private,135617,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,187346,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,108103,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,255476,5th-6th,3,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +24,Private,68577,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,155961,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,35,Jamaica,<=50K +22,State-gov,264102,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,39,Haiti,<=50K +37,Private,167777,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,<=50K +36,Private,225399,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,199998,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +55,Private,199856,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +29,?,189765,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,193042,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +66,?,222810,Some-college,10,Divorced,?,Other-relative,White,Female,0,0,35,United-States,<=50K +47,Local-gov,162595,Some-college,10,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,45,United-States,<=50K +23,Private,208826,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,120190,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Self-emp-not-inc,27242,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +51,Private,348099,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1590,40,United-States,<=50K +34,Private,185041,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,45,United-States,<=50K +28,Private,309196,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,State-gov,254285,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,70,Germany,>50K +39,Self-emp-inc,336226,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K +43,Private,240698,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +36,Private,411797,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,35,United-States,>50K +25,Private,178843,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +42,Private,136177,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +35,Private,243409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Germany,<=50K +43,Private,258049,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,53,United-States,>50K +34,Private,164748,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,State-gov,24185,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +30,Private,167476,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,106900,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +52,Private,53497,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,335704,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,211022,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,163003,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,52,Taiwan,<=50K +36,Self-emp-inc,77146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +39,Private,67433,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,458549,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,96,Mexico,<=50K +26,Private,190469,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,195411,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +20,Private,216889,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +70,?,336007,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,167350,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +24,Private,241857,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,35,United-States,<=50K +48,Private,125892,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +62,Private,272209,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,99,United-States,<=50K +48,Private,175221,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,180195,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +25,Private,38090,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,44,United-States,<=50K +58,Private,310085,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,118686,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +29,?,112963,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,120131,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,?,<=50K +19,Private,43937,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +37,Private,210438,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,176724,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +31,Self-emp-not-inc,113364,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +64,Self-emp-not-inc,73986,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +28,Local-gov,197932,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +32,Private,193285,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +49,Local-gov,223342,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +35,Private,49749,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +19,?,211553,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +45,Private,201865,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +39,Private,322143,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,70,United-States,>50K +55,Private,158702,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,2339,45,?,<=50K +46,Self-emp-not-inc,275625,Bachelors,13,Divorced,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,60,South,>50K +19,Private,206599,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +29,Private,89813,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Scotland,<=50K +25,State-gov,156848,HS-grad,9,Married-civ-spouse,Protective-serv,Own-child,White,Male,0,0,35,United-States,<=50K +37,Private,162494,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,205407,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,375313,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +36,Federal-gov,930948,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,6497,0,56,United-States,<=50K +32,Private,127895,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +34,Private,248754,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,188096,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,36,United-States,<=50K +20,Private,216811,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Self-emp-inc,113870,Masters,14,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,343052,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,280966,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,42044,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +32,Private,309513,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,163604,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +52,Private,224198,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +50,Private,338283,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,242375,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +25,Private,81286,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,Mexico,<=50K +31,Private,217803,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +31,Self-emp-not-inc,323020,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +41,Private,34278,Assoc-voc,11,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,184579,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,<=50K +20,?,210781,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +20,Private,142673,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +29,Private,131714,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,25,United-States,<=50K +51,Local-gov,74784,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,181372,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,33,United-States,>50K +23,?,62507,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +48,Private,155664,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +39,Private,174924,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,14344,0,40,United-States,>50K +62,Private,113440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +22,Private,147227,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Federal-gov,207022,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +51,Local-gov,123011,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,35,United-States,>50K +20,Private,184678,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +40,Self-emp-inc,182437,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +31,Private,98639,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,174201,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,123780,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,38,United-States,<=50K +20,Private,374116,HS-grad,9,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Local-gov,212005,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +65,Private,123965,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,242619,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K +60,Local-gov,138502,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,48,United-States,>50K +27,Private,113635,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,Ireland,<=50K +62,Private,664366,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +53,Private,218311,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,278557,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +49,Private,314773,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,194861,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,400616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,208117,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Private,184498,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,117674,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +19,Private,162621,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,14,United-States,<=50K +23,Private,368739,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Self-emp-not-inc,196994,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,<=50K +63,Self-emp-not-inc,420629,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +62,Self-emp-inc,245491,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,99999,0,40,United-States,>50K +51,Self-emp-not-inc,276456,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,3103,0,30,United-States,>50K +76,Local-gov,169133,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Private,99307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,45,United-States,<=50K +45,Self-emp-inc,120131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +44,Self-emp-inc,456236,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,45,United-States,>50K +51,Private,107123,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +42,Local-gov,125461,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,4650,0,35,United-States,<=50K +43,Local-gov,36924,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Private,167065,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,53642,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,154668,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,102238,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,54595,10th,6,Widowed,Other-service,Not-in-family,Black,Female,0,1980,40,United-States,<=50K +27,Private,152951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,257042,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,74243,Assoc-voc,11,Widowed,Craft-repair,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,149049,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,14344,0,45,United-States,>50K +33,Private,117186,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,178322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,286911,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +54,Private,203635,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,60,United-States,>50K +57,Self-emp-not-inc,177271,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +30,Private,149427,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +45,Private,101656,10th,6,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +41,Private,274363,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,42,United-States,>50K +25,Private,241025,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +51,Self-emp-inc,338836,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,210534,5th-6th,3,Separated,Adm-clerical,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +28,Private,95725,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +47,?,178013,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,20,Cuba,<=50K +53,Federal-gov,167410,Bachelors,13,Divorced,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +31,Private,158162,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,13550,0,50,United-States,>50K +46,Private,241935,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,7688,0,40,United-States,>50K +25,Federal-gov,406955,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +47,Private,341762,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,239303,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,<=50K +30,Private,38848,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,54744,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,332194,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,154950,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,196342,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +31,Private,201292,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,339767,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,England,>50K +26,Private,250066,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,318886,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +50,Local-gov,124076,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +30,State-gov,242122,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +17,Private,34019,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +35,Local-gov,230754,Masters,14,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,213842,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,196386,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,El-Salvador,<=50K +32,Self-emp-not-inc,62165,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K +34,Private,134737,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,>50K +32,Private,515629,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,119199,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,90222,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,28443,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,159442,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Ireland,<=50K +54,Private,315804,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,135840,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +38,Private,81232,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +43,Private,118001,7th-8th,4,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Private,207875,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +39,Private,164898,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,170066,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,>50K +47,Private,111994,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K +45,Private,166636,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K +24,State-gov,61737,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,241885,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,234190,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +57,Private,230899,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,114158,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,24,United-States,>50K +28,Private,222442,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,51,Cuba,<=50K +27,Private,157612,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +28,Private,199903,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +74,?,292627,1st-4th,2,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,156687,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,42,Japan,<=50K +27,Private,369522,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +61,Private,226297,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,356017,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,99,United-States,<=50K +28,Private,189257,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,24,United-States,<=50K +20,Private,157541,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,69251,Assoc-voc,11,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +38,State-gov,272944,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,113667,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +40,Private,222011,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +43,Private,191196,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +38,Private,169104,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,146679,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,30,United-States,<=50K +56,Private,226985,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,153066,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +30,?,159303,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K +22,Private,200109,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,4508,0,40,United-States,<=50K +18,State-gov,109445,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +68,Private,99491,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +35,Private,172571,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Private,143582,7th-8th,4,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,48,?,<=50K +32,Private,207113,10th,6,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,192712,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +30,Private,154297,10th,6,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +62,Private,238913,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,2829,0,24,United-States,<=50K +38,Private,110402,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,207213,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,606111,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,Germany,>50K +26,Private,34112,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,119156,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +19,Private,249787,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +20,Private,153516,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +25,State-gov,260754,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,155621,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Columbia,<=50K +36,Private,33983,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,>50K +23,Private,306601,Bachelors,13,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +24,Private,270075,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,<=50K +23,Private,109430,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,187115,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +25,Self-emp-not-inc,463667,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,8,United-States,<=50K +24,Private,52262,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,144064,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,62,United-States,<=50K +26,Private,147821,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,45,?,<=50K +62,?,232719,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,268620,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,33,United-States,<=50K +45,Private,81132,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +31,Private,323069,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,880,45,United-States,<=50K +34,Private,242984,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +65,Self-emp-inc,172684,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,Mexico,>50K +42,Private,103932,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +27,State-gov,431637,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +40,Private,188942,Some-college,10,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,Puerto-Rico,<=50K +53,Federal-gov,170354,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +54,Private,28518,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +30,State-gov,193380,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,<=50K +59,Private,175942,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +42,Self-emp-not-inc,53956,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,55,United-States,<=50K +23,Private,120773,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,96219,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +20,Private,104164,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,190429,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +73,?,243030,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +47,Self-emp-not-inc,228660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,40,United-States,>50K +44,Private,368757,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,220563,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,233571,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,37,United-States,>50K +39,Private,187847,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +49,Private,84298,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +44,Self-emp-not-inc,254303,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,109611,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,37,Portugal,<=50K +50,Private,189183,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,206951,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,282882,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,377061,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +53,Private,209906,1st-4th,2,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,Puerto-Rico,<=50K +53,Local-gov,176059,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +31,Private,279015,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,70,Taiwan,>50K +21,Private,347292,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,277314,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +74,?,29887,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,10,United-States,<=50K +53,Private,341439,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K +47,Private,209460,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,47,United-States,<=50K +60,Private,114263,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,Hungary,>50K +59,Private,230899,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +37,Private,271767,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,>50K +47,Federal-gov,20956,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +49,Private,39986,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +73,Local-gov,45784,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Female,0,0,11,United-States,<=50K +58,Private,126991,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +18,?,234648,11th,7,Never-married,?,Own-child,Black,Male,0,0,15,United-States,<=50K +35,Private,207676,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +24,State-gov,413345,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,<=50K +62,Private,122033,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +58,Private,169611,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,90363,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K +21,Private,372636,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +30,Private,340917,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,34273,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,36,Canada,<=50K +25,Private,161027,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K +31,Private,99844,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +31,Private,207685,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,34,United-States,<=50K +44,Private,74680,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K +52,Self-emp-inc,334273,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +30,Private,36069,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,100563,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,174308,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,109413,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +59,Local-gov,212600,Some-college,10,Separated,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Private,271710,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +70,?,230816,Assoc-voc,11,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,Private,103277,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +42,Private,318947,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,187167,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,204742,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,282062,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,?,283510,HS-grad,9,Never-married,?,Unmarried,Black,Male,0,0,45,United-States,<=50K +25,Private,280093,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +31,Private,202729,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,205950,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,392286,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +42,Self-emp-not-inc,119207,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +49,Private,195554,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +30,Private,173005,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,<=50K +54,Private,192862,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Private,164712,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,195808,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,199444,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,44,United-States,<=50K +23,Private,126346,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +54,Private,177675,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K +23,Private,50341,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Private,237943,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,1726,40,United-States,<=50K +23,Private,126945,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K +67,?,92061,HS-grad,9,Widowed,?,Other-relative,White,Female,0,0,8,United-States,<=50K +19,?,109938,11th,7,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K +41,Private,267252,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1902,40,United-States,>50K +32,Private,174704,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +57,Private,124771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,200603,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,30,United-States,<=50K +60,State-gov,165827,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,60,United-States,>50K +21,Private,301199,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +53,Private,215790,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,22,United-States,<=50K +38,Private,87556,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +21,Private,111467,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,82646,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K +24,Private,162282,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,239074,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,214925,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,60,United-States,<=50K +23,Private,194247,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,211531,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +32,Local-gov,223267,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +25,Private,201635,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +41,Self-emp-not-inc,188738,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,27,United-States,<=50K +18,Private,133055,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,61761,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,45,United-States,<=50K +62,Private,103344,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Male,10520,0,50,United-States,>50K +29,Private,109814,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,225294,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,97277,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +52,Private,146711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Private,286452,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,20308,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,224203,Some-college,10,Widowed,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,225978,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,237720,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +31,Private,156743,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,76,United-States,>50K +31,Private,509364,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,Mexico,<=50K +46,Private,144351,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,Private,375515,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +57,Self-emp-not-inc,103529,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +25,Private,199472,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,Private,348152,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,221166,9th,5,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,341762,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +17,?,634226,10th,6,Never-married,?,Own-child,White,Female,0,0,17,United-States,<=50K +43,State-gov,159449,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,110238,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +19,Private,458558,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +20,Federal-gov,340217,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,155106,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +90,Private,90523,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,99,United-States,<=50K +25,Private,122756,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,35,United-States,<=50K +27,Private,293828,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +48,Private,299291,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +48,Federal-gov,483261,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,122038,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +46,Private,160647,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,38,United-States,<=50K +32,Private,106541,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,126945,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,188505,Bachelors,13,Married-AF-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +31,Private,377850,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +20,Private,193586,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,18,United-States,<=50K +28,Self-emp-not-inc,315417,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,2176,0,40,United-States,<=50K +40,Self-emp-inc,57233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +39,Private,195253,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +54,Local-gov,172991,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,223215,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K +17,Private,95799,11th,7,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +25,Self-emp-not-inc,213385,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,80,United-States,<=50K +49,Local-gov,202467,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,145574,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,34095,0,60,United-States,<=50K +39,Private,147548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,105216,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +28,Private,77760,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,167990,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Canada,<=50K +44,Private,167005,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +51,Private,108435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,47,United-States,>50K +55,Private,56645,Bachelors,13,Widowed,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +45,Local-gov,304973,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,78,United-States,>50K +32,Private,42596,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +45,Private,220641,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,101452,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,England,>50K +35,Private,188888,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Local-gov,168790,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +59,Private,98361,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,401762,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +46,Local-gov,160187,Masters,14,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +23,Private,203715,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,144351,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +34,Private,420749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Germany,<=50K +51,Private,106151,11th,7,Divorced,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,362482,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,State-gov,38151,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +20,Private,42706,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,72,United-States,<=50K +44,Private,126199,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,1831,0,50,United-States,<=50K +26,Private,165510,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Local-gov,216068,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +23,Private,215624,Some-college,10,Never-married,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +40,Private,239708,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Local-gov,199378,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,230420,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,395022,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,338620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +62,Private,210142,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Private,446358,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +47,Local-gov,352614,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +36,Private,293528,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,3,United-States,<=50K +44,State-gov,55395,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,128538,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +46,Private,428405,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,126838,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,136836,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K +48,Private,105838,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Private,139903,Bachelors,13,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,106103,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +33,Private,186824,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,350387,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,15,United-States,<=50K +17,Private,142912,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +63,?,321403,9th,5,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Self-emp-inc,114937,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +34,?,286689,Masters,14,Never-married,?,Not-in-family,White,Male,4650,0,30,United-States,<=50K +35,Private,147258,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1974,40,United-States,<=50K +20,Private,451996,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,149833,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,211968,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +33,Private,287908,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K +36,Private,166549,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,25216,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,286452,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,3418,0,40,United-States,<=50K +47,Private,162034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +30,Private,186932,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,75,United-States,>50K +34,Private,82938,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,122048,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +33,Private,118710,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,243226,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,268514,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,365289,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,165365,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,2885,0,40,Laos,<=50K +20,Private,219266,HS-grad,9,Married-civ-spouse,Prof-specialty,Own-child,White,Female,0,0,36,?,<=50K +24,Private,283757,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,39,United-States,<=50K +44,Federal-gov,206553,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,113364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,328949,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,83930,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +31,Self-emp-not-inc,325355,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K +20,Private,131852,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,119506,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +47,State-gov,100818,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +36,Private,162302,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,182211,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +19,Self-emp-not-inc,194205,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +22,Private,141040,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +56,Private,346033,9th,5,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,177125,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,241174,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,>50K +57,Local-gov,130532,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,168496,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +34,Private,362787,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,?,244771,11th,7,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Federal-gov,48123,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Self-emp-inc,173858,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1902,40,South,>50K +32,Private,207201,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +29,Private,37933,12th,8,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Private,33323,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,175943,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,35,United-States,>50K +66,?,306178,10th,6,Divorced,?,Not-in-family,White,Male,2050,0,40,United-States,<=50K +71,Local-gov,229110,HS-grad,9,Widowed,Exec-managerial,Other-relative,White,Female,0,0,33,United-States,<=50K +20,Private,113511,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,333677,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,36,United-States,<=50K +42,Private,236021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +20,?,371089,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,115023,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,State-gov,133586,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +51,Private,91137,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,105598,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,352812,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1902,40,United-States,>50K +31,Private,204829,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,247733,HS-grad,9,Divorced,Priv-house-serv,Unmarried,Black,Female,0,0,16,United-States,<=50K +36,?,370585,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,103257,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,178915,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,54260,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,55395,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,233511,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +49,Private,318331,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,195985,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,38876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +67,Self-emp-inc,81413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,172618,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +36,Private,174717,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +67,Private,224984,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,15831,0,16,Germany,>50K +61,Private,423297,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,88856,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,?,169104,Assoc-acdm,12,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,16,Philippines,<=50K +35,Federal-gov,39207,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,340018,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +20,State-gov,30796,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +51,Private,155403,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +23,Private,238092,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,225605,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,<=50K +36,Private,289148,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,339863,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +27,Private,178778,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K +29,Private,568490,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,129345,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,447882,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +24,Private,314165,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,20,United-States,<=50K +39,Federal-gov,382859,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,State-gov,82504,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,149700,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,15024,0,40,United-States,>50K +62,Private,209844,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +49,Private,62546,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,228686,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,326587,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,202091,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +54,Self-emp-not-inc,310774,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,450246,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,?,84375,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,45,United-States,<=50K +43,Private,142444,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,55,United-States,>50K +26,Private,82246,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,38,United-States,<=50K +24,Private,192766,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,53109,11th,7,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +45,Self-emp-inc,121836,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,?,>50K +45,Self-emp-not-inc,298130,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +26,Private,135645,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,265275,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +54,?,410114,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,Without-pay,232719,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,167716,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,<=50K +68,Private,107627,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +21,Private,129674,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,48,Mexico,<=50K +28,Self-emp-inc,114053,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Private,202560,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +35,Private,219902,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,48,United-States,<=50K +50,Self-emp-not-inc,192654,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K +48,Self-emp-inc,238966,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,?,112942,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +59,Private,153484,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +23,Private,161874,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +53,Private,260106,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Self-emp-inc,240374,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,?,251612,5th-6th,3,Never-married,?,Unmarried,White,Female,0,0,45,Mexico,<=50K +53,Private,223696,12th,8,Married-spouse-absent,Handlers-cleaners,Not-in-family,Other,Male,0,0,56,Dominican-Republic,<=50K +52,Private,176134,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +38,Private,186959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,456236,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,98948,Bachelors,13,Married-civ-spouse,Other-service,Wife,White,Female,0,0,32,United-States,<=50K +41,Private,166662,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,448626,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,167482,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K +45,Private,189792,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,399052,9th,5,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,42,United-States,<=50K +40,Private,104196,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +47,Self-emp-not-inc,152752,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +53,Private,268545,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Jamaica,<=50K +53,Self-emp-inc,148532,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +33,Local-gov,281784,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,1564,52,United-States,>50K +24,Private,225724,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +34,Private,200192,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,170850,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +29,Federal-gov,224858,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +61,State-gov,159908,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,32,United-States,>50K +31,Private,115488,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,1268339,HS-grad,9,Married-spouse-absent,Tech-support,Own-child,Black,Male,0,0,40,United-States,<=50K +42,Private,195755,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +50,Federal-gov,186272,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,181388,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,177181,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +74,Private,91488,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K +40,Private,230961,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +75,Self-emp-not-inc,309955,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2174,50,United-States,>50K +40,Local-gov,63042,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +36,Private,29814,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,?,116230,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +42,?,167678,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,22,Ecuador,<=50K +28,Private,191088,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +19,Private,63814,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,18,United-States,<=50K +36,Private,285865,Assoc-acdm,12,Separated,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +33,?,160776,Assoc-voc,11,Divorced,?,Not-in-family,White,Female,0,0,40,France,<=50K +50,Federal-gov,299831,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,880,40,United-States,<=50K +47,Private,162741,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,15024,0,40,United-States,>50K +48,Private,204990,HS-grad,9,Never-married,Tech-support,Unmarried,Black,Female,0,0,33,Jamaica,<=50K +60,Self-emp-inc,171315,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,296462,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,30,United-States,<=50K +32,Private,103860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Local-gov,159816,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,35,United-States,>50K +51,Private,96586,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +53,Private,202720,9th,5,Married-spouse-absent,Machine-op-inspct,Unmarried,Black,Male,0,0,75,Haiti,<=50K +34,Private,202822,Masters,14,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,?,<=50K +48,Self-emp-not-inc,379883,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,>50K +68,?,123464,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,294121,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,50,United-States,<=50K +63,?,179981,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +31,Private,234387,HS-grad,9,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,154537,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +32,Private,125856,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +32,Private,156015,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,116632,Bachelors,13,Divorced,Sales,Own-child,White,Male,0,0,80,United-States,<=50K +50,Private,124963,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +38,Self-emp-not-inc,115215,10th,6,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,254905,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,195532,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,190067,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,1564,40,United-States,>50K +63,Private,181828,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,?,<=50K +32,Private,203674,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,880,36,United-States,<=50K +25,Private,322585,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Private,246262,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +22,Local-gov,211129,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,?,<=50K +49,Private,139268,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,188540,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,?,251167,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,30,Mexico,<=50K +46,Private,94809,Some-college,10,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,30,United-States,<=50K +37,Local-gov,265038,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Private,182566,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +43,Private,220109,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,44,United-States,<=50K +41,Private,208470,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +54,Private,28683,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3464,0,40,United-States,<=50K +36,Private,233571,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,4,United-States,<=50K +29,Private,24562,Bachelors,13,Divorced,Other-service,Unmarried,Other,Female,0,0,40,United-States,<=50K +66,Local-gov,36364,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2267,40,United-States,<=50K +59,Private,168569,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,167098,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,271579,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +28,Private,191355,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +27,Private,31659,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,60,United-States,>50K +42,State-gov,83411,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +60,Private,40856,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +58,Private,115605,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,132326,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,220213,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,172511,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,156745,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,218916,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,306114,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,196675,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,70,United-States,<=50K +59,Self-emp-not-inc,73411,Prof-school,15,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +36,Private,184659,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +72,?,75890,Some-college,10,Widowed,?,Unmarried,Asian-Pac-Islander,Female,0,0,4,United-States,<=50K +35,Private,320451,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,Hong,>50K +33,Private,172498,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,131588,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,45,United-States,<=50K +40,Private,124520,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,>50K +26,Self-emp-not-inc,93806,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +37,Federal-gov,173192,Assoc-voc,11,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +68,Self-emp-not-inc,198554,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,26502,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K +56,Private,225267,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,150042,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,211319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +38,Private,208358,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,58115,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,41,United-States,<=50K +28,Private,219267,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,28,United-States,<=50K +39,Federal-gov,129573,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +26,Local-gov,27834,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,415037,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +52,Private,191529,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +84,Private,132806,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,13,United-States,<=50K +33,Federal-gov,137059,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +46,Federal-gov,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +30,Private,164309,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +38,Private,40955,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,England,>50K +66,Private,141085,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,8,United-States,<=50K +62,Federal-gov,258124,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K +31,Private,467579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,40,United-States,>50K +31,Private,145139,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,231141,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K +60,Self-emp-not-inc,146674,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,50,?,<=50K +27,Private,242207,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +37,?,102541,Assoc-voc,11,Married-civ-spouse,?,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +38,Private,135416,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,267284,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +48,Private,130812,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,183765,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K +45,Local-gov,188823,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +22,Private,200593,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,124094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +21,Private,50411,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,101689,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,73091,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,1876,50,United-States,<=50K +21,?,107801,Some-college,10,Never-married,?,Own-child,White,Female,0,0,6,United-States,<=50K +51,Private,176969,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +30,Private,342709,HS-grad,9,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,368561,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,26915,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +57,Private,157974,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,48,United-States,<=50K +48,Private,109832,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +39,Self-emp-inc,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K +68,Self-emp-not-inc,195881,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2414,0,40,United-States,<=50K +33,Private,183000,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +22,Without-pay,302347,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,4416,0,40,United-States,<=50K +18,?,151463,11th,7,Never-married,?,Other-relative,White,Male,0,0,7,United-States,<=50K +28,Private,217200,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,31740,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +56,Private,35520,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +36,Private,369843,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,199227,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +18,Private,144711,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1721,40,United-States,<=50K +39,Private,382802,10th,6,Widowed,Machine-op-inspct,Not-in-family,Black,Male,0,1590,40,United-States,<=50K +25,Private,254781,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,70657,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +56,Self-emp-not-inc,50791,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,1876,60,United-States,<=50K +33,Self-emp-not-inc,222162,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,94606,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,United-States,>50K +44,Self-emp-not-inc,104196,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,84,United-States,<=50K +30,Self-emp-not-inc,455995,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K +27,Private,166210,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,198986,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Self-emp-inc,292465,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,99388,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +38,Private,698363,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,154940,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,401998,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +62,Private,162825,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,271795,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,134671,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,87583,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,14,United-States,<=50K +50,Private,248619,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,130200,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,178922,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Private,51985,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,38,United-States,<=50K +37,Private,125933,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +38,State-gov,104280,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +27,Private,617860,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Private,122112,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +45,Local-gov,181758,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,223671,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +38,Self-emp-not-inc,140117,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +27,Private,107458,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,215948,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,?,<=50K +44,Federal-gov,306440,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Federal-gov,615893,Masters,14,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Nicaragua,<=50K +28,Self-emp-inc,201186,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,99999,0,40,United-States,>50K +32,Private,37210,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +43,Private,196084,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +45,Local-gov,166181,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Federal-gov,291096,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,40,United-States,>50K +24,Private,232841,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +19,?,131982,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,408788,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,42924,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,50,United-States,>50K +31,Private,181091,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,200246,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,282023,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +49,Federal-gov,128990,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Private,106838,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,144750,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K +39,Private,108140,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,103323,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,268022,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +58,Private,197114,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,191628,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,2174,0,40,United-States,<=50K +59,Local-gov,176118,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +24,Private,42401,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K +42,Private,322385,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2407,0,40,United-States,<=50K +53,State-gov,123011,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +35,Private,210945,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +36,Local-gov,130620,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K +26,Private,248990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +33,Private,132705,9th,5,Separated,Adm-clerical,Not-in-family,White,Male,0,0,48,United-States,<=50K +29,Private,94892,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,141858,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,81232,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +48,Private,114561,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,36,Philippines,>50K +45,Local-gov,191776,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,128354,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,37088,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +21,Private,414812,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +63,?,156799,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +39,Private,33983,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,15024,0,40,United-States,>50K +52,Self-emp-not-inc,194995,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,55,United-States,>50K +41,Self-emp-inc,73431,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,155664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,70,United-States,>50K +27,?,182386,11th,7,Divorced,?,Unmarried,White,Female,0,0,35,United-States,<=50K +53,State-gov,281074,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,1092,40,United-States,<=50K +33,Local-gov,248346,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,167482,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +18,?,171088,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,211763,Doctorate,16,Separated,Prof-specialty,Unmarried,Black,Female,0,0,24,United-States,>50K +20,Private,122166,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,370119,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Self-emp-not-inc,138940,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +41,Private,174575,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K +67,Private,101132,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,1797,0,40,United-States,<=50K +38,Private,292307,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,40,Dominican-Republic,<=50K +47,Self-emp-not-inc,248776,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,25,United-States,<=50K +39,Private,314007,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,213226,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,35,?,<=50K +36,Private,76845,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +24,Private,148320,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,54261,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +21,Private,223352,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,1055,0,30,United-States,<=50K +21,Private,211013,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,50,Mexico,<=50K +40,Private,209833,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,356272,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +38,Private,143538,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,242960,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Local-gov,263871,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,151105,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +44,Private,207685,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,55,England,>50K +49,Local-gov,46537,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,594,0,10,United-States,<=50K +45,Self-emp-inc,84324,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,224716,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,186269,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,143731,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K +39,Private,236391,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,54560,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,266325,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K +32,Federal-gov,42900,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +45,State-gov,183710,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +23,Private,278254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,45,United-States,<=50K +35,Private,119992,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +52,Private,284329,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +55,Private,368727,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,353696,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,31387,Bachelors,13,Married-civ-spouse,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,2885,0,25,United-States,<=50K +27,Private,110931,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,169532,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +21,Private,285522,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,198774,Bachelors,13,Divorced,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +32,Private,123291,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,146110,Some-college,10,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +37,Self-emp-not-inc,29814,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +61,Private,195595,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +44,Private,92649,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,>50K +53,Private,290688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +43,Private,427382,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +60,State-gov,234854,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +23,Private,276568,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,250038,Masters,14,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K +29,Private,150861,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,87205,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,55,England,<=50K +47,Private,343579,1st-4th,2,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,12,Mexico,<=50K +20,Private,94401,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,120238,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,Poland,>50K +27,Private,205440,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,198996,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,294253,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K +23,Private,256628,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K +59,Self-emp-not-inc,223131,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +46,Private,207301,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +66,?,270460,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Local-gov,125457,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,38,United-States,>50K +36,Local-gov,212856,11th,7,Never-married,Other-service,Unmarried,White,Female,0,0,23,United-States,<=50K +44,Private,197389,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,73338,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,68037,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,185027,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +53,Private,107123,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +22,Private,109482,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,98,United-States,<=50K +30,Private,174543,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,208407,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,30,United-States,<=50K +68,Self-emp-not-inc,211584,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,108540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,202416,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +62,?,160155,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,6418,0,40,United-States,>50K +20,Private,176178,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +21,Private,265148,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,38,Jamaica,<=50K +34,Private,220631,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,50,?,<=50K +30,Self-emp-not-inc,303692,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,<=50K +25,Private,135845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,State-gov,199915,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,21,United-States,<=50K +40,State-gov,150533,Bachelors,13,Married-civ-spouse,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Federal-gov,85482,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,24473,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,272944,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +43,?,82077,Some-college,10,Divorced,?,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +49,State-gov,194895,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,314153,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,176253,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +59,Private,113959,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +42,State-gov,167581,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Private,79586,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Iran,<=50K +40,Private,166662,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +47,Private,72896,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,345730,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +30,Private,302473,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,42346,HS-grad,9,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,35,United-States,<=50K +21,Private,243921,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,131620,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K +47,Private,158924,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +22,Self-emp-not-inc,32921,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,252897,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,14344,0,40,United-States,>50K +41,Private,155657,11th,7,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,40,United-States,<=50K +43,Federal-gov,155106,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,53,United-States,<=50K +60,Private,82775,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +73,Private,26248,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +90,Private,88991,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,England,>50K +62,Federal-gov,125155,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +28,Private,218039,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,53524,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,259352,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,296453,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +19,Private,278915,12th,8,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,52,United-States,<=50K +23,Private,565313,Some-college,10,Never-married,Other-service,Own-child,Black,Male,2202,0,80,United-States,<=50K +22,Federal-gov,274103,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +19,Private,271118,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,28,United-States,<=50K +45,Federal-gov,207107,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Male,0,2080,40,Philippines,<=50K +26,Local-gov,138597,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +42,Local-gov,180985,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,99999,0,40,United-States,>50K +62,Self-emp-not-inc,159939,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +61,Private,110920,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,34862,Bachelors,13,Divorced,Sales,Not-in-family,Amer-Indian-Eskimo,Male,0,1564,60,United-States,>50K +22,Local-gov,163205,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,53,United-States,<=50K +56,Private,110003,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,229051,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +24,?,144898,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,211596,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,48458,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,1669,45,United-States,<=50K +58,Private,201393,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,1876,40,United-States,<=50K +25,Self-emp-not-inc,136450,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +23,Private,193586,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,91189,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,227832,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,271936,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,61343,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +30,Private,157778,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +23,Private,201680,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,228320,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +72,Private,33404,10th,6,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,Private,103205,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,279029,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,213092,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,126104,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,1980,45,United-States,<=50K +32,Private,119124,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,31924,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +22,Private,253799,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,?,<=50K +52,Private,266138,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +65,Private,185001,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,34102,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,115214,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,6497,0,65,United-States,<=50K +27,Private,289484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,State-gov,287908,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,42,United-States,<=50K +53,Self-emp-not-inc,158284,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +23,Private,60668,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +43,State-gov,222978,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +58,Private,244605,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3908,0,40,United-States,<=50K +38,Private,150601,10th,6,Separated,Adm-clerical,Unmarried,White,Male,0,3770,40,United-States,<=50K +26,Private,199143,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,131681,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,346406,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1672,50,United-States,<=50K +33,Federal-gov,391122,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +29,Local-gov,280344,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +54,State-gov,188809,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +41,Private,277488,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,36,United-States,<=50K +63,Self-emp-not-inc,181561,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,158545,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,27,United-States,<=50K +23,Private,313573,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,25,United-States,<=50K +31,Private,591711,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,Black,Male,0,0,40,?,<=50K +41,Private,268183,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +51,Private,392286,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +59,Private,233312,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,520231,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Self-emp-not-inc,186831,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,45,United-States,<=50K +67,Self-emp-not-inc,141085,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +65,?,198019,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +47,Local-gov,198660,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +21,Private,409230,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +38,Private,376025,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,80167,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,99357,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,1506,0,40,United-States,<=50K +24,Private,82847,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,Portugal,>50K +24,Private,22201,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +38,Private,275223,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +19,Private,117595,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +32,Private,207668,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +63,Self-emp-not-inc,179981,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +18,Private,192583,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,66304,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,200671,Bachelors,13,Divorced,Transport-moving,Own-child,Black,Male,6497,0,40,United-States,<=50K +57,Private,32365,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,28497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,222978,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,1504,40,United-States,<=50K +25,Private,160261,Some-college,10,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K +48,Private,120724,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,91733,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +74,Self-emp-not-inc,146929,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,205706,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,181666,Some-college,10,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +54,Local-gov,279452,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,207568,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +38,Private,22494,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,7443,0,40,United-States,<=50K +18,Private,210026,10th,6,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +32,Local-gov,190889,Masters,14,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,40,?,<=50K +24,Private,109869,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +19,Self-emp-not-inc,285263,9th,5,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,Mexico,<=50K +28,Private,192588,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,232945,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Other,Male,0,0,30,United-States,<=50K +49,Local-gov,31339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,305147,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,188914,HS-grad,9,Widowed,Machine-op-inspct,Other-relative,Black,Female,0,0,40,Haiti,<=50K +58,Self-emp-not-inc,141165,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +68,Self-emp-inc,136218,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +41,Federal-gov,371382,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +21,?,199177,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,221366,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,50,United-States,>50K +24,Private,403671,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,193871,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,306183,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,44,United-States,<=50K +64,?,159938,HS-grad,9,Divorced,?,Not-in-family,White,Male,8614,0,40,United-States,>50K +54,Private,124194,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,69847,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,30,United-States,<=50K +26,State-gov,169323,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,State-gov,172327,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +48,Private,118889,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2885,0,15,United-States,<=50K +50,Private,166220,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,3942,0,40,United-States,<=50K +39,Private,186420,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,192779,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +41,Private,105616,Some-college,10,Widowed,Adm-clerical,Unmarried,Black,Female,0,0,48,United-States,<=50K +24,Private,141113,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,2580,0,40,United-States,<=50K +57,Private,160275,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,164507,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Columbia,<=50K +41,Private,207578,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,India,>50K +55,Private,314592,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,?,254630,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,80,United-States,<=50K +69,Private,159522,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,Black,Female,2964,0,40,United-States,<=50K +22,Private,112130,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Private,192835,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3942,0,40,United-States,<=50K +33,Private,206280,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +57,Private,308861,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,93206,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1902,65,United-States,>50K +40,Private,206066,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +48,Self-emp-not-inc,309895,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +38,Local-gov,216129,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +26,State-gov,287420,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +24,Private,163595,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,170092,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +37,Private,287031,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,75,United-States,>50K +42,Private,59474,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,99151,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Private,206888,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,177119,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,80,?,<=50K +22,Private,173736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,182163,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +45,Local-gov,311080,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,389857,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +23,Private,297152,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +24,Federal-gov,130534,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,137301,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,316235,HS-grad,9,Divorced,Sales,Other-relative,White,Female,0,0,32,United-States,<=50K +28,Self-emp-inc,32922,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +58,Private,118303,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,>50K +18,Private,188241,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +59,Private,236731,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +39,Private,209397,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Self-emp-inc,290640,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +54,Private,221915,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Female,0,0,65,United-States,<=50K +51,Private,175246,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +59,Private,159724,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7298,0,55,United-States,>50K +42,State-gov,160369,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,461337,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +37,Private,187311,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +32,Private,29312,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,197365,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,301747,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +55,Local-gov,135439,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +30,Private,340917,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,155057,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +65,?,200749,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +44,Private,323627,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,5,United-States,<=50K +23,?,154921,5th-6th,3,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,131425,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,184242,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +28,Private,149769,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +44,Private,124924,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Mexico,<=50K +29,Private,253003,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,16,United-States,<=50K +57,State-gov,250976,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,104196,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,Self-emp-not-inc,250182,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,188331,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +44,Private,187322,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,130714,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,22,United-States,<=50K +37,Private,40955,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,107125,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,>50K +51,Private,145714,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,?,>50K +27,Private,133937,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,State-gov,293485,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,3103,0,40,United-States,>50K +28,?,203260,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,8,United-States,<=50K +37,Self-emp-not-inc,143368,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,51789,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +24,State-gov,211049,7th-8th,4,Never-married,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K +53,Private,81794,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,139193,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1980,48,United-States,<=50K +54,Private,150999,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,60,United-States,<=50K +22,Private,332657,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,240043,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +43,Private,186188,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,Iran,<=50K +58,State-gov,223400,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,>50K +59,Local-gov,102442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +31,Private,236599,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Private,283237,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,150106,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,102076,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +40,Private,374764,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,32528,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +25,Federal-gov,50053,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +58,Private,212864,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,30673,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,>50K +69,?,248248,1st-4th,2,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,34,Philippines,<=50K +23,Private,419554,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,<=50K +32,State-gov,177216,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,118158,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +41,Private,116391,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Germany,<=50K +74,Private,194312,9th,5,Widowed,Craft-repair,Not-in-family,White,Male,0,0,10,?,<=50K +43,Private,111895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +18,Private,193290,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1721,20,United-States,<=50K +24,Federal-gov,287988,Bachelors,13,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Private,147653,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,32,United-States,<=50K +54,Private,117674,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +60,Private,187458,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,410351,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,207578,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +62,?,55621,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,35,United-States,>50K +27,State-gov,271243,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,Jamaica,<=50K +30,Private,188798,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +63,Local-gov,168656,Bachelors,13,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,35,Outlying-US(Guam-USVI-etc),<=50K +33,Private,460408,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,3325,0,50,United-States,<=50K +34,Private,241885,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +20,?,133061,9th,5,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,194097,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,219137,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +50,Private,31621,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,207685,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,57052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K +19,Private,109854,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +20,?,369678,HS-grad,9,Never-married,?,Not-in-family,Other,Male,0,0,43,United-States,<=50K +17,Private,53611,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K +47,Private,344916,Assoc-acdm,12,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Local-gov,198813,Bachelors,13,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +71,Private,180733,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,Private,188073,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +69,?,159077,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K +48,Private,174829,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,142791,7th-8th,4,Widowed,Sales,Other-relative,White,Female,0,1602,3,United-States,<=50K +58,Self-emp-not-inc,43221,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,40,United-States,>50K +34,Private,188736,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Female,0,0,20,Columbia,<=50K +33,Local-gov,222654,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,66,?,<=50K +56,Private,251836,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +40,Federal-gov,112388,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,209641,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +42,Private,313945,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Ecuador,<=50K +19,?,134974,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,152742,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,3325,0,40,United-States,<=50K +28,Self-emp-inc,153291,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,353432,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +23,Private,96635,Some-college,10,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +46,?,202560,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +39,Private,150057,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +39,Private,114844,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1876,50,United-States,<=50K +45,Private,132847,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,41356,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,93705,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,309350,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,123084,11th,7,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,174662,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,32,United-States,<=50K +62,Federal-gov,177295,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,211880,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,454915,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,232475,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Self-emp-inc,244605,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +50,Private,150876,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,55,United-States,>50K +51,Private,257337,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,329144,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4386,0,45,United-States,>50K +37,Private,116960,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +58,Private,267663,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,47871,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,>50K +34,Private,295922,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,England,>50K +45,Private,175625,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +19,?,129586,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,190179,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +40,Private,168071,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Male,3325,0,40,United-States,<=50K +39,Self-emp-not-inc,202027,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +36,Private,202662,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,101436,HS-grad,9,Divorced,Adm-clerical,Other-relative,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +19,?,119234,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,15,United-States,<=50K +37,Private,360743,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,>50K +60,Local-gov,93272,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,145574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Private,101722,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,3908,0,47,United-States,<=50K +34,Private,135785,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +23,?,218415,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +19,Private,127709,HS-grad,9,Never-married,Farming-fishing,Own-child,Black,Male,0,0,30,United-States,<=50K +37,Federal-gov,448337,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +58,Private,310320,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,251521,11th,7,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Private,255503,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,116608,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K +26,Private,71009,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +22,Private,174975,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,36,United-States,<=50K +32,Private,108023,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,204018,11th,7,Never-married,Sales,Unmarried,White,Male,0,0,15,United-States,<=50K +57,?,366563,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Private,121846,7th-8th,4,Widowed,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +70,Private,278139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3432,0,40,United-States,<=50K +30,Private,114691,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +19,State-gov,536725,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,15,Japan,<=50K +51,Private,94432,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,286002,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,30,Nicaragua,<=50K +47,Private,101684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,352834,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +36,Private,99146,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +30,Private,231413,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,158846,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +41,Local-gov,190786,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +25,Private,306513,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +62,Private,152148,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,309580,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,?,130832,Bachelors,13,Never-married,?,Unmarried,White,Female,0,0,10,United-States,<=50K +25,Private,194897,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Male,6849,0,40,United-States,<=50K +30,Private,130078,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +48,Private,39986,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,379198,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,40,Mexico,<=50K +51,Private,189762,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,>50K +19,Private,178147,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +31,Private,332379,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,175759,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +21,?,262062,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,275446,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,278522,11th,7,Never-married,Farming-fishing,Own-child,Black,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,54683,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1590,40,United-States,<=50K +57,Private,136107,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +18,Private,205894,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +54,Private,210736,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,166634,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +52,Private,185283,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,180553,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,199058,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,?,<=50K +18,Private,145005,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +37,Self-emp-not-inc,184655,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +52,Private,358554,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +59,Private,307423,9th,5,Never-married,Other-service,Not-in-family,Black,Male,0,0,50,United-States,<=50K +27,Private,472070,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,115562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,32446,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-not-inc,33121,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +37,Private,183345,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,119793,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,50,United-States,>50K +48,Self-emp-not-inc,97883,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +58,Self-emp-not-inc,31732,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,206250,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,103323,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,135436,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Private,376455,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +52,Private,160703,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +30,Private,131699,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,243842,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,349910,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +61,Private,170262,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,38,United-States,>50K +33,Private,184306,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K +46,Private,224202,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,151540,11th,7,Widowed,Tech-support,Unmarried,White,Female,0,0,16,United-States,<=50K +28,Private,231197,10th,6,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,Mexico,<=50K +19,Private,279968,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +36,Private,162651,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K +43,Self-emp-not-inc,130126,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-not-inc,160120,Doctorate,16,Divorced,Adm-clerical,Other-relative,Other,Male,0,0,40,?,<=50K +56,Private,161662,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +24,Local-gov,201664,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,137142,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +45,Self-emp-inc,122206,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Local-gov,183169,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,126513,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,?,<=50K +35,Federal-gov,185053,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,408427,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +50,Self-emp-not-inc,198581,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +61,Private,199198,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,21,United-States,<=50K +31,Private,184306,Assoc-voc,11,Never-married,Transport-moving,Own-child,White,Male,0,1980,60,United-States,<=50K +63,Private,172740,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,205153,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,164964,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,162606,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,179627,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,103408,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Germany,>50K +27,Private,36440,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,57512,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +27,Private,187981,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,393768,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,108726,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,180551,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +51,Self-emp-not-inc,176240,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +56,Private,70720,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,35890,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,283676,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Local-gov,105540,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2051,40,United-States,<=50K +44,Private,408717,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,3674,0,50,United-States,<=50K +21,Private,57916,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,177974,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,<=50K +34,?,177304,10th,6,Divorced,?,Not-in-family,White,Male,0,0,40,Columbia,<=50K +18,Private,115839,12th,8,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,?,205256,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2885,0,80,United-States,<=50K +38,Private,117802,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,>50K +19,Private,211355,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +46,Private,173243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,343200,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +22,Private,401690,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,Mexico,<=50K +38,Private,196123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,168981,Masters,14,Divorced,Exec-managerial,Own-child,White,Female,14084,0,50,United-States,>50K +83,Self-emp-not-inc,213866,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,8,United-States,<=50K +34,Private,55176,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +38,Private,153976,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,119176,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,169117,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,1887,40,United-States,>50K +38,Private,156550,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,109609,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +38,Private,26698,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,236497,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +33,State-gov,306309,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +17,Private,242773,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,124680,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,6849,0,60,United-States,<=50K +52,Local-gov,43909,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,112820,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,2463,0,40,United-States,<=50K +25,Private,148300,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +17,Private,133449,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,26,United-States,<=50K +22,Private,263670,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,80,United-States,<=50K +22,Private,276494,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,190115,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +58,Private,317479,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +39,Private,151248,Some-college,10,Divorced,Sales,Other-relative,White,Female,0,0,35,United-States,<=50K +59,Local-gov,130532,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,Poland,<=50K +61,Private,160062,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,299635,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +50,Private,171225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +51,Private,33304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,95634,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,45,?,<=50K +20,Private,243878,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,181721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +44,Federal-gov,201435,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +28,Private,334032,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Private,220019,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +53,Private,71772,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Self-emp-not-inc,27661,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,191411,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,India,<=50K +39,Private,123945,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +38,Self-emp-not-inc,37778,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,State-gov,171216,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,93955,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +63,Private,163809,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Private,346754,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +43,Private,188436,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +28,Private,72443,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,1669,60,United-States,<=50K +68,Private,186350,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,10,United-States,>50K +22,?,214238,7th-8th,4,Never-married,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +46,State-gov,394860,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +57,Private,262642,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,125550,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +66,Private,192504,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,131310,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +54,Private,249322,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +38,Private,172755,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,209993,11th,7,Separated,Priv-house-serv,Unmarried,White,Female,0,0,8,Mexico,<=50K +30,Private,166961,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,37,United-States,<=50K +39,Private,315291,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,284703,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,166565,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +30,Self-emp-not-inc,173854,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,189219,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,210781,Bachelors,13,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,France,<=50K +59,Local-gov,171328,HS-grad,9,Separated,Protective-serv,Other-relative,Black,Female,0,2339,40,United-States,<=50K +45,Private,199832,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K +64,Private,251292,5th-6th,3,Separated,Other-service,Other-relative,White,Female,0,0,20,Cuba,<=50K +61,Private,122246,12th,8,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +42,Private,190767,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,278736,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +53,Private,124963,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,167476,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,7,United-States,<=50K +34,Local-gov,246104,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,171615,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K +67,Private,264095,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,9386,0,24,Cuba,>50K +46,Private,177114,Assoc-acdm,12,Widowed,Prof-specialty,Unmarried,White,Female,0,0,27,United-States,<=50K +32,Private,146154,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,198196,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,79712,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,154785,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,182423,HS-grad,9,Divorced,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +20,?,347292,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,32,United-States,<=50K +34,Private,118584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,219835,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,?,<=50K +17,?,148769,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +45,Private,197418,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +21,Private,253190,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,192273,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,129573,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +17,Private,173807,11th,7,Never-married,Craft-repair,Own-child,White,Female,0,0,15,United-States,<=50K +35,Private,217893,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Private,102938,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Local-gov,407495,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +25,Private,50053,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Japan,<=50K +57,Private,233382,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Cuba,<=50K +32,Private,270968,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +39,Local-gov,272166,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Male,0,0,30,United-States,<=50K +23,Private,199915,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +21,Private,305781,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K +47,Private,107682,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +25,Private,188507,7th-8th,4,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Dominican-Republic,<=50K +18,?,28311,11th,7,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +41,Federal-gov,197069,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Male,4650,0,40,United-States,<=50K +19,Private,177839,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +24,Private,77665,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +57,Private,127728,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +51,?,172175,Doctorate,16,Never-married,?,Not-in-family,White,Male,0,2824,40,United-States,>50K +32,Private,106742,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,192838,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,79531,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,75,United-States,>50K +21,State-gov,337766,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +45,Self-emp-not-inc,33234,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +17,?,34088,12th,8,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +55,Private,176904,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,172148,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +49,Private,199058,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +38,Private,48093,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,143664,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,168337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +43,Private,195212,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,?,<=50K +39,Private,230329,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Canada,>50K +42,Private,376072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +32,Private,430175,HS-grad,9,Divorced,Craft-repair,Other-relative,Black,Female,0,0,50,United-States,<=50K +44,Federal-gov,240628,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,2354,0,40,United-States,<=50K +50,Self-emp-inc,158294,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,80,United-States,>50K +55,Private,28735,HS-grad,9,Divorced,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K +37,Private,167482,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +59,Private,113203,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,103948,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,310525,12th,8,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K +35,Private,105138,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Private,153489,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +57,State-gov,254949,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,118149,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,267965,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +43,Private,50646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,147700,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +18,Private,446771,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +47,Private,168262,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,117058,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,140957,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,>50K +35,Private,186126,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,?,<=50K +49,Private,268234,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,485117,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,31350,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,England,<=50K +36,State-gov,210830,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +29,Private,196420,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +52,Private,172165,10th,6,Divorced,Other-service,Other-relative,White,Female,0,0,25,United-States,<=50K +50,Self-emp-not-inc,186565,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,119359,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,109684,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,169589,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +49,Private,125421,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +31,Private,500002,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K +33,Private,224141,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,113290,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K +62,?,123992,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,58098,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1974,40,United-States,<=50K +46,?,37672,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +55,Private,198145,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +49,Federal-gov,35406,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,199419,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,145441,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +58,Private,238438,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +48,State-gov,212954,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +21,Private,56582,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +67,Local-gov,176931,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Self-emp-not-inc,188571,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,312500,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,278404,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,114225,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +18,Private,184016,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,Local-gov,183009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +59,Private,205759,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,462294,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Male,0,0,44,United-States,<=50K +42,Private,102085,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +54,Self-emp-not-inc,83311,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,>50K +39,Private,248694,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +57,Local-gov,190747,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,162988,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +31,Self-emp-not-inc,156890,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,310380,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Black,Female,0,0,45,United-States,<=50K +35,Private,172186,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,311497,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,443508,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +31,Private,152156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,155890,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +38,State-gov,312528,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,37,United-States,<=50K +51,Private,282744,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Canada,<=50K +27,Private,205145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,?,119918,Bachelors,13,Never-married,?,Not-in-family,Black,Male,0,0,45,?,<=50K +22,Private,401451,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +72,?,173427,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Cuba,<=50K +25,Private,189027,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,35551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +23,Private,42706,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +63,Private,106910,5th-6th,3,Widowed,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,19,Philippines,<=50K +23,Private,53245,9th,5,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,221672,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +75,Private,71898,Preschool,1,Never-married,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,48,Philippines,<=50K +52,Private,222107,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +69,Private,277588,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K +52,Private,178983,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +40,Federal-gov,391744,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,418020,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +21,State-gov,39236,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +30,Private,86808,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +46,Private,147640,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,1902,40,United-States,<=50K +21,Private,184756,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +44,Private,191256,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,State-gov,105943,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,40,United-States,<=50K +40,Private,101272,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +33,State-gov,175023,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,37,United-States,<=50K +22,Self-emp-not-inc,357612,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,82777,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +75,Self-emp-not-inc,218521,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +55,Private,179534,11th,7,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +24,?,33339,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,148549,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,27828,0,56,United-States,>50K +31,Private,198069,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +49,Private,236586,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +26,Local-gov,167261,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,160942,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,<=50K +44,Private,107584,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,50,United-States,<=50K +28,Local-gov,251854,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +79,?,163140,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +51,Private,302579,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,30,United-States,<=50K +44,Self-emp-inc,64632,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,83141,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,326048,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,83471,HS-grad,9,Widowed,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +23,Private,170070,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +25,Private,207875,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,119722,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,8,United-States,<=50K +18,Private,335665,11th,7,Never-married,Other-service,Other-relative,Black,Female,0,0,24,United-States,<=50K +25,Private,212522,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +19,Private,42069,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,2176,0,45,United-States,<=50K +26,?,131777,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2002,40,United-States,<=50K +33,Private,236396,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +42,Private,159911,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,133833,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,226947,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,174201,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,49707,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,201988,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +62,Self-emp-not-inc,162347,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,>50K +30,Private,182833,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +22,Private,383603,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,70466,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,184846,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K +25,Private,176756,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,112512,HS-grad,9,Widowed,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,137296,Assoc-acdm,12,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Private,37821,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +25,Private,295108,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,25,United-States,<=50K +40,Private,408717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,255635,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +48,Self-emp-not-inc,177783,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +63,Self-emp-not-inc,179400,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,20,United-States,<=50K +31,Private,240283,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +36,Private,410034,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,180667,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,196332,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +32,Local-gov,159187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +46,Private,225065,Preschool,1,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Mexico,<=50K +19,Private,178147,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +30,Private,272669,Some-college,10,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +35,Private,347491,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,?,146399,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,55,United-States,<=50K +33,Private,75167,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +25,Private,133373,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Local-gov,84737,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,35,United-States,>50K +18,Private,96483,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +59,Private,368005,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,State-gov,36032,HS-grad,9,Divorced,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,174215,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +24,Private,228772,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,Mexico,<=50K +22,Private,242912,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +49,Self-emp-inc,86701,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,56,United-States,>50K +35,Private,166549,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Local-gov,121622,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,1380,40,United-States,<=50K +18,Private,201613,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,29874,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,168138,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,162404,Bachelors,13,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K +21,?,162160,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +26,Private,139116,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,50,United-States,<=50K +44,Private,192381,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K +39,Private,370585,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +40,State-gov,151038,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +70,Self-emp-not-inc,36311,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,35,United-States,>50K +34,Private,271933,Masters,14,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +34,Private,182401,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +66,Private,234743,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,182140,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,215591,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +59,Self-emp-not-inc,96459,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,?,205562,Masters,14,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Private,188081,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +33,State-gov,121245,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +18,Private,127273,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,20,United-States,<=50K +25,Private,114345,9th,5,Never-married,Craft-repair,Unmarried,White,Male,914,0,40,United-States,<=50K +22,Private,341227,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K +40,Local-gov,166893,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +68,?,65730,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +30,Private,145231,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,1762,40,United-States,<=50K +73,Self-emp-not-inc,102510,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,99,United-States,>50K +45,Self-emp-not-inc,285335,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +23,Private,177087,11th,7,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K +40,Private,240504,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +39,Private,218490,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +23,Private,384651,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,189551,HS-grad,9,Divorced,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +53,Private,194791,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,194630,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K +53,Private,177647,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,51620,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,251421,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,180477,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +40,State-gov,391736,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,State-gov,170091,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,6,United-States,<=50K +36,Private,175360,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,13550,0,50,United-States,>50K +35,Private,276153,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,4650,0,40,United-States,<=50K +53,Federal-gov,105788,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,>50K +42,Local-gov,248476,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,>50K +32,Private,168443,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +33,Private,120201,HS-grad,9,Divorced,Adm-clerical,Own-child,Other,Female,0,0,65,United-States,<=50K +59,Private,114678,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K +36,Private,167440,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +37,Self-emp-not-inc,265266,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +31,Private,212235,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Private,44671,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,87282,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,38,United-States,<=50K +27,Private,112754,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,60,United-States,>50K +29,Self-emp-not-inc,322238,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,65382,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,115176,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +48,Self-emp-not-inc,162236,Masters,14,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,?,>50K +42,Private,409902,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,25,United-States,<=50K +60,Local-gov,204062,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +35,Private,283305,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,435638,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Self-emp-inc,114733,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,<=50K +22,Private,162343,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,22,United-States,<=50K +18,?,195981,HS-grad,9,Widowed,?,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,79531,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,State-gov,395078,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Local-gov,159641,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,625,40,United-States,<=50K +21,Private,159567,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Private,133917,Assoc-voc,11,Never-married,Sales,Other-relative,Black,Male,0,0,40,?,<=50K +52,Private,196894,11th,7,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +39,Local-gov,132879,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +23,Private,190290,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,102828,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,<=50K +31,Private,128493,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,State-gov,290677,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +21,Private,283757,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +38,Local-gov,169104,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +51,Private,171409,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,319165,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +22,Private,203182,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +20,?,211968,Some-college,10,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +26,Private,215384,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1974,55,United-States,<=50K +26,Private,166666,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +41,Private,156566,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,140564,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Local-gov,322208,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +65,Private,420277,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,123430,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,Mexico,<=50K +45,Self-emp-inc,151584,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +37,Self-emp-not-inc,348960,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +47,Private,168232,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K +47,Self-emp-inc,201699,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,511517,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,118001,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,193961,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +21,Private,32732,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,223548,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +33,Private,389932,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,55,United-States,<=50K +29,Private,102345,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,52,United-States,<=50K +41,Private,107584,Some-college,10,Separated,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +20,?,34321,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +20,State-gov,39478,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,54,United-States,<=50K +34,Self-emp-not-inc,276221,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +78,Self-emp-inc,385242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,45,United-States,>50K +46,Private,235646,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,123306,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +59,Private,38573,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,216889,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,386705,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,24,United-States,<=50K +47,Self-emp-not-inc,249585,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +31,Local-gov,47276,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,United-States,>50K +42,Self-emp-not-inc,162758,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,56,United-States,>50K +46,Local-gov,146497,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,190765,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,44,United-States,<=50K +21,Private,186314,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,213615,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,162322,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +44,State-gov,115932,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,392694,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +38,State-gov,143517,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,123429,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Italy,>50K +53,Private,254285,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,238311,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,36,United-States,>50K +49,Private,281647,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +30,Private,75167,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +19,Private,252862,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,199240,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,England,<=50K +43,Private,145762,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Local-gov,142443,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,99361,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,105138,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,183171,11th,7,Never-married,Other-service,Own-child,Black,Male,1055,0,32,United-States,<=50K +18,Private,151866,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +60,Private,297261,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +43,Private,148998,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,143046,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,183850,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,Self-emp-not-inc,248841,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +31,Private,198452,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,161092,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,112497,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,155963,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +28,Private,147560,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K +24,Private,376393,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,State-gov,151790,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +21,Private,438139,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,?,163911,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,214896,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,102821,Some-college,10,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +44,Self-emp-not-inc,90021,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +45,Private,77085,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K +42,Private,158555,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,?,28160,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,462255,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,144949,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,116207,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +17,Private,187308,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +45,Local-gov,189890,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,185267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,63434,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Private,1366120,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,8,United-States,<=50K +41,Self-emp-inc,495061,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,70,United-States,>50K +34,Local-gov,134886,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1740,35,United-States,<=50K +33,Private,129707,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,>50K +17,?,181337,10th,6,Never-married,?,Own-child,Other,Female,0,0,20,United-States,<=50K +51,Private,74784,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +33,Private,44392,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,406641,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,18,United-States,<=50K +52,Private,89041,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,>50K +36,?,139770,Some-college,10,Divorced,?,Own-child,White,Female,0,0,32,United-States,<=50K +25,Private,180212,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,?,338212,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +64,Self-emp-not-inc,178472,9th,5,Separated,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,384236,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +29,Private,168470,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +26,Local-gov,80485,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +38,?,181705,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +24,Private,216867,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,30,Mexico,<=50K +43,Federal-gov,214541,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,383239,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +28,Private,70034,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +18,?,266287,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +44,Private,128485,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +81,?,89015,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K +55,Private,106740,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,167527,11th,7,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,19302,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,210150,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,179824,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,36,United-States,<=50K +27,Private,420351,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +23,State-gov,215443,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,15,United-States,<=50K +26,Private,116044,11th,7,Separated,Craft-repair,Other-relative,White,Male,2907,0,50,United-States,<=50K +33,Private,215306,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Cuba,<=50K +39,Private,108069,Some-college,10,Never-married,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,260046,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,31053,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,362302,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +54,Private,87205,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +45,Private,191703,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,242968,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +23,Local-gov,185575,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,177858,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,40,United-States,<=50K +33,Self-emp-not-inc,73585,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,301802,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +32,Self-emp-inc,108467,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +47,Private,431245,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,157217,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,204935,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,277112,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +64,Self-emp-inc,59145,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +30,Local-gov,159773,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +51,Private,118793,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +26,State-gov,152457,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,187901,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,1504,40,United-States,<=50K +50,Private,266529,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,?,256179,Some-college,10,Never-married,?,Own-child,White,Male,594,0,10,United-States,<=50K +63,Private,113756,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,83444,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +37,Self-emp-inc,30529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K +51,?,146325,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,28,United-States,<=50K +29,Private,198825,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +69,Private,71489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +56,Private,111218,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,?,221626,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +39,Local-gov,203482,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +42,Self-emp-not-inc,352196,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K +41,Federal-gov,355918,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +45,Private,168262,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +23,Private,182615,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,211482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +34,Private,386370,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +31,?,85077,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,1902,20,United-States,>50K +46,Local-gov,180010,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Without-pay,142210,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,25,United-States,<=50K +33,Private,415706,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +46,Private,237731,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,343506,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +49,Local-gov,116163,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,France,<=50K +66,?,206560,HS-grad,9,Widowed,?,Not-in-family,Other,Female,0,0,35,Puerto-Rico,<=50K +55,State-gov,153451,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1887,40,United-States,>50K +35,Private,301862,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,33429,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,169583,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,146497,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,16,Germany,<=50K +48,Self-emp-not-inc,383384,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,240809,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,56,United-States,<=50K +38,Private,203763,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,218785,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +23,?,381741,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,1721,20,United-States,<=50K +17,Private,244602,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +44,State-gov,175696,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,101027,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +37,Private,99270,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Female,0,0,40,United-States,<=50K +49,Private,224393,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +42,Private,192381,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,131686,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +73,?,84390,Assoc-voc,11,Married-spouse-absent,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +44,Private,277533,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,72880,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,149646,Some-college,10,Divorced,?,Own-child,White,Female,0,0,20,?,<=50K +49,Private,209057,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,108909,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +42,Private,74949,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,235639,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,137421,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,37,Hong,<=50K +53,Private,122412,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,434894,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,379959,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,95885,11th,7,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,13550,0,60,United-States,>50K +39,Private,225330,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,50,Poland,>50K +40,Private,32627,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,65171,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,193380,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,184823,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,81259,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +35,Private,301369,12th,8,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,190968,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +71,Private,196610,7th-8th,4,Widowed,Exec-managerial,Not-in-family,White,Male,6097,0,40,United-States,>50K +31,Private,330715,HS-grad,9,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Local-gov,77698,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,139770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,6849,0,40,United-States,<=50K +24,Private,109053,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +69,Private,312653,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +35,Self-emp-not-inc,193260,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +35,Private,331831,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,54202,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,50,United-States,>50K +51,Private,163948,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +48,Private,36228,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,44,United-States,<=50K +49,Private,160167,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,178356,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,99,United-States,<=50K +43,Private,104196,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,288353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,187693,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,114988,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Local-gov,117392,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,121124,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +53,Private,195638,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,245053,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,1504,40,United-States,<=50K +49,State-gov,216734,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,?,197827,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,49156,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,126133,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,304463,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +34,Private,214288,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,274969,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,42,United-States,<=50K +23,Private,189072,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,45,United-States,<=50K +46,Private,128047,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +20,Private,210338,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +63,Private,122442,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,167081,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,50,United-States,<=50K +33,Private,251421,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Federal-gov,219519,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,33355,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K +25,Private,441210,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +54,Local-gov,178356,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,231196,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,State-gov,40925,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,270587,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,England,<=50K +40,Private,219266,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +27,Private,114967,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,344492,HS-grad,9,Separated,Sales,Own-child,White,Female,0,0,26,United-States,<=50K +22,Private,369387,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +80,Self-emp-not-inc,101771,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +52,Private,137428,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Federal-gov,121012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,48,United-States,>50K +48,Private,139290,10th,6,Separated,Machine-op-inspct,Own-child,White,Female,0,0,48,United-States,<=50K +62,Private,199193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +32,Private,286689,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K +21,?,123727,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K +58,Federal-gov,208640,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,120130,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +29,Self-emp-inc,241431,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +25,Private,120450,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,152240,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,200960,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +30,Federal-gov,314310,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Local-gov,44566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K +59,Private,21792,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +36,Private,182074,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,221850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Ecuador,>50K +42,Private,240628,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +34,Private,318641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +27,Self-emp-not-inc,140863,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,129150,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +41,Private,143003,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,7298,0,60,India,>50K +34,Self-emp-not-inc,198664,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,15024,0,70,South,>50K +41,Private,244945,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,138514,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,92008,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Female,0,0,28,United-States,<=50K +23,Private,207415,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,188626,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +38,Private,257250,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,60,United-States,>50K +27,Private,133696,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,88,United-States,<=50K +21,Private,195919,10th,6,Never-married,Handlers-cleaners,Not-in-family,Other,Male,0,0,40,Dominican-Republic,<=50K +41,Private,119266,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,140474,Assoc-acdm,12,Divorced,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K +25,Private,69739,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,293176,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +23,Private,217961,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +40,Local-gov,163725,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +23,Private,419394,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,9,United-States,<=50K +18,Private,220836,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,334291,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Private,298601,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3781,0,40,United-States,<=50K +36,Private,200360,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,203482,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,99126,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +62,Private,109190,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +34,Private,34848,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,4064,0,40,United-States,<=50K +27,Private,29732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,36,United-States,<=50K +23,Private,87867,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +55,Private,123515,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,175935,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,229456,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K +44,Private,184105,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,4386,0,40,United-States,>50K +42,Local-gov,99554,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,190227,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,29020,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,45,United-States,<=50K +31,Private,306459,1st-4th,2,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,35,Honduras,<=50K +42,Private,193995,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +26,Private,105059,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +62,Private,71751,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,98,United-States,>50K +28,Private,176683,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,50,United-States,>50K +34,Private,342709,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,53838,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +45,Local-gov,209482,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +44,Private,214242,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +47,?,34458,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +35,Private,100375,Some-college,10,Married-spouse-absent,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,149949,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,189762,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,56,United-States,<=50K +46,Private,79874,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,53,United-States,>50K +66,Self-emp-not-inc,104576,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,8,United-States,>50K +34,State-gov,355700,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +26,Private,213625,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,204984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,144593,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K +23,Private,217169,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,184883,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +44,?,136419,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,57758,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,>50K +54,Self-emp-not-inc,30908,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +71,Private,217971,9th,5,Widowed,Sales,Unmarried,White,Female,0,0,13,United-States,<=50K +51,Private,160703,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,142675,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +75,?,248833,HS-grad,9,Married-AF-spouse,?,Wife,White,Female,2653,0,14,United-States,<=50K +57,Private,171242,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Canada,<=50K +34,Private,376979,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,175935,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,14084,0,40,United-States,>50K +21,Private,277530,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,104501,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,94041,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,Ireland,<=50K +37,Local-gov,593246,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +19,Private,121074,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K +64,Private,192596,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +17,Private,142457,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +37,Private,136028,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,216145,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,4650,0,45,United-States,<=50K +20,Private,157894,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +39,Self-emp-not-inc,164593,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,4787,0,40,United-States,>50K +18,Private,252993,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Columbia,<=50K +42,Private,145711,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +43,Private,358199,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K +42,Private,219591,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,>50K +53,Local-gov,205005,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +52,Private,221936,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,120914,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +77,Self-emp-inc,155761,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +25,Private,195914,Some-college,10,Never-married,Sales,Own-child,Black,Female,3418,0,30,United-States,<=50K +38,Local-gov,236687,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,318036,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,53306,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Private,174645,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,321817,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,206948,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Federal-gov,402975,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +72,?,289930,Bachelors,13,Separated,?,Not-in-family,White,Female,991,0,7,United-States,<=50K +42,Private,367049,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,40,United-States,<=50K +36,Private,143486,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-inc,27187,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +24,Private,187717,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,378104,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,113870,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +42,Private,252518,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +24,Private,326334,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,279914,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +29,Private,320451,HS-grad,9,Never-married,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +36,Private,207853,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +78,Self-emp-inc,237294,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +43,Private,112181,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,32,United-States,>50K +34,State-gov,259705,Some-college,10,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +20,?,117789,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,449432,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,89083,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,59612,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +21,Private,129980,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,108233,Assoc-acdm,12,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,342709,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,126675,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,141118,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,273701,Some-college,10,Never-married,?,Other-relative,Black,Male,34095,0,10,United-States,<=50K +46,Private,173243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,161092,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,209691,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,>50K +36,Private,89508,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,399522,11th,7,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +60,State-gov,136939,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +56,Local-gov,264436,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,199572,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,28291,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +50,Private,215990,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,179594,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +61,Self-emp-inc,139391,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,35,United-States,>50K +45,Private,187370,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,7430,0,70,United-States,>50K +31,Private,473133,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +60,Self-emp-not-inc,205246,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,2559,50,United-States,>50K +26,Private,182308,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,51662,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,289468,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,201954,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +45,Self-emp-not-inc,26781,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +58,Private,100960,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,203761,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,2354,0,40,United-States,<=50K +23,Private,213811,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,124672,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,Private,219300,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +22,Private,270436,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,212619,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,193586,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,40,United-States,<=50K +40,Private,84136,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +55,Federal-gov,264834,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,State-gov,98995,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,278254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,167987,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,72887,Bachelors,13,Married-spouse-absent,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +17,Private,176467,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +51,Self-emp-not-inc,85902,10th,6,Widowed,Transport-moving,Other-relative,White,Female,0,0,40,United-States,<=50K +37,Private,223433,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,108435,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +24,Private,172496,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,241998,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Private,245948,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,2174,0,40,United-States,<=50K +23,Private,187513,Assoc-voc,11,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,440138,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,England,<=50K +24,Private,218215,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +50,Private,158948,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +34,Private,94413,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +45,Private,183598,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,192664,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,392812,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +21,Private,155818,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,195000,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,308205,5th-6th,3,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +53,Private,104879,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Private,152307,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,145964,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,97419,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,40,United-States,<=50K +25,?,12285,Some-college,10,Never-married,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +30,Private,263150,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +49,?,189885,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +23,Private,151888,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,254167,10th,6,Separated,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +45,Local-gov,331482,Assoc-acdm,12,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +61,Local-gov,177189,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +35,Private,186886,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +20,Private,33221,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +27,Private,188171,10th,6,Never-married,Adm-clerical,Own-child,White,Male,0,0,60,United-States,<=50K +23,Private,209770,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,164488,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +65,Local-gov,180869,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,190350,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,137192,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1977,50,South,>50K +45,Private,204057,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K +46,Private,198774,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,323,45,United-States,<=50K +67,Private,134906,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +40,Private,174515,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,259363,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +44,Self-emp-not-inc,201742,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +35,Private,209609,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,185127,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,462838,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K +37,Private,176967,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +54,Private,284129,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +33,Federal-gov,37546,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +46,Private,116666,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,120724,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,40,United-States,<=50K +27,Private,314240,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,3325,0,40,United-States,<=50K +49,Private,423222,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +51,Private,201127,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,202239,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,209629,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,165922,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +24,Private,133520,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +66,?,99888,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,176410,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +35,Federal-gov,103214,Doctorate,16,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,>50K +34,Private,122612,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,7688,0,50,Philippines,>50K +50,Private,226735,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K +43,Self-emp-inc,151089,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,244312,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,30,El-Salvador,<=50K +33,Private,209317,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,45,El-Salvador,<=50K +48,Private,99096,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,1590,38,United-States,<=50K +22,Private,374116,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,36,United-States,<=50K +29,Private,205249,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +42,Self-emp-not-inc,326083,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,183523,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Hungary,<=50K +36,Private,350783,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +66,Local-gov,140849,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Private,175943,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,20,United-States,<=50K +45,Local-gov,125933,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,225124,HS-grad,9,Divorced,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,272090,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,El-Salvador,<=50K +48,Private,40666,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,35245,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,167482,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Private,204662,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +32,Private,291147,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,205100,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,352139,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,29,United-States,<=50K +39,Private,111268,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,247111,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,271446,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +29,Local-gov,132412,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,74712,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +22,Private,94662,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +44,Self-emp-inc,33126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +43,Private,133584,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,103759,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3942,0,40,United-States,<=50K +63,?,64448,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,374367,Assoc-voc,11,Separated,Sales,Not-in-family,Black,Male,0,0,44,United-States,<=50K +40,Private,179666,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,Canada,<=50K +18,Private,99219,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +57,Self-emp-inc,180211,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Taiwan,>50K +54,Local-gov,219276,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +44,Private,150011,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,231231,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Private,182217,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Scotland,<=50K +29,Private,277342,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,140001,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,99651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +45,Private,223319,Some-college,10,Divorced,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +52,Private,235307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,206343,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,Cuba,<=50K +51,Local-gov,156003,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,529223,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,10,United-States,<=50K +22,Private,202871,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,United-States,<=50K +37,Private,58337,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +58,Federal-gov,298643,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,Private,191188,10th,6,Widowed,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K +30,Private,96287,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +23,Private,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,323054,10th,6,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +18,Private,95917,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,Canada,<=50K +34,Private,238305,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,1628,12,?,<=50K +23,Private,49296,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +23,Private,50953,Some-college,10,Never-married,Priv-house-serv,Own-child,White,Female,0,0,10,United-States,<=50K +57,Private,124507,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +58,Private,239523,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +59,Self-emp-not-inc,309124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Private,240172,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,105010,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +44,Local-gov,135056,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,16,?,<=50K +25,Private,178478,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,23871,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +22,Private,362309,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +21,Private,257781,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,1719,30,United-States,<=50K +44,Private,175669,11th,7,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,36,United-States,>50K +50,Private,297906,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +44,Private,230684,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +53,?,123011,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +41,Private,170866,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Local-gov,182543,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +60,Self-emp-not-inc,236470,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,33725,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +27,Private,188941,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3908,0,40,United-States,<=50K +43,Private,206878,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K +33,Local-gov,173806,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,190709,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +41,Private,149102,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Poland,<=50K +21,Private,25265,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,100669,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +27,Self-emp-inc,114158,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,228057,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,54012,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,219967,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,Private,239865,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,State-gov,119421,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K +56,Self-emp-not-inc,220187,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K +41,Local-gov,33068,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,1974,40,United-States,<=50K +41,Self-emp-not-inc,277783,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,2001,50,United-States,<=50K +42,Private,175515,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Local-gov,271795,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,70055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,352806,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K +57,Private,266189,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,42,United-States,<=50K +49,Private,102945,7th-8th,4,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,173851,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,144092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,198681,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +33,Private,351810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +52,Private,180142,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-inc,175360,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Self-emp-inc,224498,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Self-emp-inc,154641,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,60,United-States,<=50K +54,Local-gov,152540,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,42,United-States,<=50K +52,Private,217663,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +22,Local-gov,138575,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,56,United-States,<=50K +19,?,32477,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +65,Private,101104,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,9386,0,10,United-States,>50K +32,Private,44677,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,456618,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +34,Private,227282,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,27624,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,55,United-States,<=50K +24,Private,281403,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K +63,Federal-gov,39181,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,2559,60,United-States,>50K +48,Private,377140,5th-6th,3,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,35,Nicaragua,<=50K +26,Private,299810,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,181916,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,237044,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,12,United-States,<=50K +57,Self-emp-inc,123053,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,50,India,>50K +64,State-gov,269512,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,44767,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,>50K +28,Private,67218,7th-8th,4,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +34,Private,176992,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,43712,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +44,Private,379919,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +34,Private,104509,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,1639,0,20,United-States,<=50K +18,Private,212370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +36,Private,179666,12th,8,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +73,Self-emp-not-inc,233882,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,2457,40,Vietnam,<=50K +24,Private,197387,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +29,Local-gov,220656,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +33,Private,181091,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +57,Federal-gov,135028,HS-grad,9,Separated,Adm-clerical,Other-relative,Black,Female,0,0,35,United-States,<=50K +41,Private,185057,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,?,<=50K +55,Private,106498,10th,6,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,35,United-States,<=50K +21,Private,203003,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,223789,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,184026,Some-college,10,Never-married,Prof-specialty,Not-in-family,Other,Male,0,0,50,United-States,<=50K +32,?,335427,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K +40,Private,65866,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,213,40,United-States,<=50K +32,Private,372692,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,45607,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +59,State-gov,303176,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2179,40,United-States,<=50K +29,Private,138190,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,1138,40,United-States,<=50K +29,Self-emp-not-inc,212895,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +59,Self-emp-inc,31359,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,80,United-States,>50K +58,Private,147989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +47,Private,145290,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,262684,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,1504,45,United-States,<=50K +31,Private,132601,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,30759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +19,Private,319889,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +66,Private,29431,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,111483,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,184756,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +31,Private,651396,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1594,30,United-States,<=50K +30,Private,187560,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,84848,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +75,?,36243,Doctorate,16,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,State-gov,88913,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,36,United-States,<=50K +19,Private,73190,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +60,Private,132529,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,214542,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,217006,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,169785,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +30,Private,75573,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,Germany,<=50K +37,Private,239171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,53566,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +20,Private,117109,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,24,United-States,<=50K +32,Private,398019,7th-8th,4,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,15,Mexico,<=50K +18,Private,114008,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +24,Private,204653,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Local-gov,254935,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +76,?,84755,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Local-gov,198145,Masters,14,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,14,United-States,>50K +53,Private,174020,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,1876,38,United-States,<=50K +19,Private,451951,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,172175,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +27,Private,209472,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,336707,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Female,0,0,60,United-States,<=50K +26,?,431861,10th,6,Separated,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,156728,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +39,Federal-gov,290321,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +49,State-gov,206577,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,149324,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,7,United-States,<=50K +33,?,49593,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,0,0,30,United-States,<=50K +50,Private,98975,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +28,Private,181659,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +30,Private,174789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,102308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +39,Private,184801,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,176014,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,256861,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K +37,Private,239397,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +26,Private,233777,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +55,Private,236520,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,70754,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,245378,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,176729,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,>50K +32,Private,154120,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K +43,Private,88913,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Female,1055,0,40,United-States,<=50K +19,Private,517036,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +38,Private,436361,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,75,United-States,<=50K +38,Private,231037,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +65,Private,209831,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +70,Self-emp-not-inc,143833,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,40,United-States,>50K +48,?,167381,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,25,United-States,<=50K +44,Private,215468,Bachelors,13,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,7,United-States,<=50K +32,Private,200700,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Local-gov,191777,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K +49,Federal-gov,195437,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K +23,Private,149396,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +25,Private,104746,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,16,United-States,<=50K +19,Private,108147,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,238859,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,State-gov,23157,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +38,Private,497788,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +42,Private,141558,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +33,Federal-gov,117963,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +30,Private,232356,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,157941,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,103642,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,169727,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,274731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,161572,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K +38,Private,48779,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +48,Private,141511,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Private,314153,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +30,Private,168334,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,30,United-States,<=50K +42,Local-gov,267252,Masters,14,Separated,Exec-managerial,Unmarried,Black,Male,0,0,45,United-States,>50K +31,Self-emp-not-inc,312055,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +32,Private,207937,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,232653,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,246841,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,154087,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,199011,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +51,Self-emp-not-inc,205100,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +36,Private,177907,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,2176,0,20,?,<=50K +24,Private,50400,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +41,Local-gov,97064,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K +21,Private,65038,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,292472,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,1876,45,Cambodia,<=50K +17,Private,225211,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +45,Private,320192,1st-4th,2,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +39,State-gov,119421,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,625,35,United-States,<=50K +21,Private,83580,Some-college,10,Never-married,Prof-specialty,Own-child,Amer-Indian-Eskimo,Female,0,0,4,United-States,<=50K +29,Private,133696,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,45,United-States,>50K +39,Private,141584,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,2444,45,United-States,>50K +42,Private,529216,HS-grad,9,Separated,Transport-moving,Other-relative,Black,Male,0,0,40,United-States,<=50K +22,Private,390817,5th-6th,3,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,40,Mexico,<=50K +21,?,85733,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,155976,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,221172,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +45,Private,270842,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,82622,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Private,371064,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +45,Private,54744,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +29,Private,22641,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,45,United-States,<=50K +21,Private,218957,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +51,Private,441637,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,143699,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,183096,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Private,97176,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K +38,Self-emp-not-inc,122493,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +22,Private,311376,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,78928,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,3137,0,40,United-States,<=50K +62,Private,123582,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Federal-gov,174215,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +36,Private,183902,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,4,United-States,>50K +43,Private,247880,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,256636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,?,152875,Bachelors,13,Married-civ-spouse,?,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K +28,Private,22422,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K +49,?,178215,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,28,United-States,<=50K +47,Local-gov,194360,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,7,United-States,>50K +59,Private,247187,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,63921,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,224889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,178564,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +57,Private,47619,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Private,92775,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +37,Private,50837,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +20,Local-gov,235894,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,244974,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +20,Local-gov,526734,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +38,Self-emp-not-inc,243484,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,28,United-States,>50K +23,Private,201664,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +24,Private,234640,HS-grad,9,Married-spouse-absent,Sales,Own-child,White,Female,0,0,36,United-States,<=50K +46,Private,268022,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Local-gov,223267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +21,Self-emp-not-inc,99199,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,137076,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,115411,Some-college,10,Divorced,Sales,Own-child,White,Male,2174,0,45,United-States,<=50K +51,Private,313146,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +69,Self-emp-not-inc,29980,7th-8th,4,Never-married,Farming-fishing,Other-relative,White,Male,1848,0,10,United-States,<=50K +39,Self-emp-inc,543042,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,50,United-States,>50K +43,Private,271807,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,97934,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,5178,0,40,United-States,>50K +43,Private,191196,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,264627,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,84,United-States,<=50K +32,Private,183801,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,209227,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,21,United-States,<=50K +64,Private,216208,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,377095,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,317535,1st-4th,2,Married-civ-spouse,Protective-serv,Other-relative,White,Male,0,0,40,Mexico,<=50K +40,Private,247880,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +21,Private,152246,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +23,Private,428299,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,161708,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +19,Private,167859,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +61,Private,85194,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,25,United-States,<=50K +47,Self-emp-inc,119471,7th-8th,4,Never-married,Craft-repair,Not-in-family,Other,Male,0,0,40,?,<=50K +39,Private,117683,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +51,Private,139347,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +25,Private,427744,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,122116,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +34,State-gov,227931,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +54,Self-emp-not-inc,226497,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,83783,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,197113,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,50,Puerto-Rico,<=50K +33,Private,204742,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +63,?,331527,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K +31,Private,213179,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +70,Self-emp-inc,188260,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +43,Private,298161,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Nicaragua,<=50K +36,Private,143774,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,>50K +50,Local-gov,139296,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,152389,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +31,Private,309974,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,?,37085,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +39,Private,270059,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +29,Private,130045,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +39,Private,188038,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Private,168203,7th-8th,4,Never-married,Farming-fishing,Other-relative,Other,Male,0,0,40,Mexico,<=50K +46,Private,171807,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Private,186696,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,177531,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,23,United-States,<=50K +28,Private,115464,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +19,Private,501144,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,40,United-States,<=50K +61,Local-gov,180079,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,40,United-States,<=50K +18,Private,205894,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,?,<=50K +39,Self-emp-not-inc,218490,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,50,?,>50K +24,Local-gov,203924,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,91857,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +38,Private,229700,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +17,Private,158704,10th,6,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +28,Private,190911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,139176,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +61,Private,119684,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,20,United-States,>50K +69,Private,124930,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2267,40,United-States,<=50K +19,Private,168693,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +26,Private,250038,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-inc,353927,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +70,Private,216390,9th,5,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,2653,0,40,United-States,<=50K +21,Private,230248,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +43,Private,117728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +52,Private,115851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,193335,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,203894,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,100109,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +55,State-gov,157639,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-inc,235320,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +36,Private,127686,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +39,Private,28572,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,48,United-States,<=50K +78,?,91534,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K +30,Private,184687,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +22,Private,267945,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +43,Private,131899,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,192614,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,56,United-States,<=50K +36,Private,186808,Bachelors,13,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +50,Private,44116,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Federal-gov,46442,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Federal-gov,78022,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +24,Private,417668,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +41,Private,223763,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Private,223851,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,24,United-States,<=50K +38,Local-gov,115634,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,114459,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,Private,197093,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,20,United-States,<=50K +31,Self-emp-not-inc,357145,Doctorate,16,Never-married,Prof-specialty,Own-child,White,Female,0,0,48,United-States,<=50K +29,Private,59231,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +26,Private,292303,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,122288,Some-college,10,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,36,United-States,<=50K +26,Federal-gov,52322,Bachelors,13,Never-married,Tech-support,Not-in-family,Other,Male,0,0,60,United-States,<=50K +27,Local-gov,105830,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +36,Private,107125,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +28,Federal-gov,281860,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,283320,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,State-gov,26598,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,220783,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,?,121694,7th-8th,4,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,208302,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,34,United-States,<=50K +34,Local-gov,172664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,54611,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +64,Private,631947,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,394484,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,?,239120,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,13,United-States,<=50K +38,Federal-gov,37683,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,99999,0,57,Canada,>50K +47,Local-gov,193012,Masters,14,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,50,United-States,>50K +48,Private,143098,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,China,>50K +57,Private,84888,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,188503,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Private,337778,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,94432,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,>50K +32,Private,168906,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,116143,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,128272,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,14,United-States,<=50K +64,Federal-gov,301383,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,45,United-States,>50K +46,Private,174995,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +24,State-gov,289909,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,154641,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +23,Private,209034,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3942,0,40,United-States,<=50K +30,Private,203488,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +34,Private,141118,Masters,14,Divorced,Prof-specialty,Own-child,White,Female,0,0,60,United-States,>50K +30,Private,169589,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,137645,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +58,Local-gov,489085,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +32,Private,36302,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,253420,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +35,Private,269300,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,282609,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,Honduras,<=50K +46,Private,346978,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +71,Private,182395,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,11678,0,45,United-States,>50K +44,Private,205051,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,128736,10th,6,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,236110,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +38,Private,312271,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +52,Private,126978,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,China,<=50K +47,Private,204692,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,195956,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,35,United-States,<=50K +59,State-gov,202682,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,231912,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,37,United-States,<=50K +44,Local-gov,24982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +76,Private,278938,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +50,Local-gov,36489,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Local-gov,154874,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,74581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +27,Private,311446,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,5178,0,40,United-States,>50K +37,Self-emp-inc,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,239708,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +49,Self-emp-not-inc,162856,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,85109,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +49,Private,169042,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,625,40,Puerto-Rico,<=50K +22,Private,436798,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,345363,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K +36,Private,49837,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,?,296516,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +30,State-gov,180283,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Local-gov,95639,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +42,Private,33155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,329059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,>50K +55,Private,24694,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,443855,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +52,?,294691,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,301867,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K +55,Private,226875,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +47,Private,362835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +23,Private,180339,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,65,United-States,<=50K +55,Self-emp-inc,207489,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,Germany,<=50K +43,Private,336643,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,143653,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +62,State-gov,101475,Assoc-acdm,12,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,263871,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,8,United-States,<=50K +38,Self-emp-not-inc,77820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,95465,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,42,United-States,<=50K +26,Private,257910,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +26,Private,244372,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,52,United-States,>50K +37,Self-emp-not-inc,126738,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +79,Self-emp-inc,97082,12th,8,Widowed,Sales,Not-in-family,White,Male,18481,0,45,United-States,>50K +61,Private,133164,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +28,Self-emp-not-inc,104617,7th-8th,4,Never-married,Other-service,Other-relative,White,Female,0,0,99,Mexico,<=50K +60,Self-emp-inc,105339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +51,Self-emp-inc,258735,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,81,United-States,<=50K +34,Private,182926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +35,Private,166193,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Local-gov,206125,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,346594,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,108301,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +32,Private,73498,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,129150,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,>50K +27,Private,181280,Masters,14,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,United-States,<=50K +40,Private,146908,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +43,Private,183765,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,?,>50K +25,Private,164488,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,307468,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,93884,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,279833,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,45,United-States,>50K +52,Private,137658,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K +32,Private,101562,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,136331,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,259846,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +48,Private,98719,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,44,United-States,<=50K +62,Self-emp-not-inc,168682,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,<=50K +40,Self-emp-not-inc,198953,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Female,0,0,2,United-States,<=50K +41,?,29115,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +28,Private,173673,5th-6th,3,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K +23,Private,67958,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Federal-gov,98980,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +51,State-gov,94174,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +63,Self-emp-not-inc,122442,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K +63,Federal-gov,154675,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,116632,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +20,?,238685,11th,7,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,?,139391,Some-college,10,Married-civ-spouse,?,Husband,White,Male,99999,0,30,United-States,>50K +40,Private,169031,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,237452,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,15,Cuba,>50K +41,Private,216968,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,?,<=50K +27,?,216479,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,24,United-States,>50K +20,State-gov,126822,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +28,Private,51461,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K +35,Private,54953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,222654,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,37676,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +57,Private,159319,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,125321,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,209609,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +37,Private,224947,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,State-gov,438427,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,384276,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,196805,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,65,United-States,<=50K +27,Private,242097,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,184306,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +45,Private,161954,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K +65,Private,258561,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +57,Self-emp-not-inc,95280,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K +59,Private,212783,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +18,Private,205004,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,26,United-States,<=50K +44,Local-gov,387844,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,83880,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,161155,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,265698,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +59,Self-emp-inc,146477,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Private,97261,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,State-gov,437890,HS-grad,9,Never-married,Exec-managerial,Unmarried,Black,Male,0,0,90,United-States,<=50K +68,Self-emp-not-inc,133736,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +63,Private,169983,11th,7,Widowed,Sales,Not-in-family,White,Female,2176,0,30,United-States,<=50K +37,Private,126675,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,<=50K +46,Local-gov,175754,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,60,United-States,<=50K +31,Private,121768,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,Poland,<=50K +23,Private,180052,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,124454,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Private,190115,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,44,United-States,<=50K +36,Private,222584,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,22245,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Local-gov,114160,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,45,United-States,>50K +24,Private,228960,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,132572,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +47,Private,103020,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,Other,Female,0,0,40,Puerto-Rico,<=50K +40,Private,187802,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K +31,Local-gov,50649,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Private,137698,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K +48,Self-emp-inc,30575,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K +56,Private,202220,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,0,0,38,United-States,<=50K +50,Private,50178,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +17,Private,207791,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +21,Private,540712,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,1719,25,United-States,<=50K +50,Private,321770,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,202053,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +34,Private,143699,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K +32,Self-emp-not-inc,115066,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +28,Private,223751,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-inc,354075,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,32732,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +24,State-gov,390867,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,101697,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,279721,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,223400,Assoc-acdm,12,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,35,Poland,<=50K +46,?,206357,5th-6th,3,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +39,Private,76417,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,?,184682,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K +21,Private,78170,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +39,Private,201410,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,189013,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,119913,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,549174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +29,Local-gov,214706,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +30,?,33811,Bachelors,13,Married-civ-spouse,?,Wife,Other,Female,0,0,40,Taiwan,>50K +43,Private,234220,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,Cuba,<=50K +22,Private,237720,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,185942,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K +69,Local-gov,286983,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,140027,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +18,?,115258,11th,7,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K +54,Private,155408,HS-grad,9,Widowed,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +65,?,117963,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,158737,12th,8,Married-civ-spouse,Machine-op-inspct,Other-relative,Other,Male,0,0,40,Ecuador,<=50K +27,Local-gov,199471,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,38,United-States,<=50K +35,Private,287701,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,>50K +38,Private,137707,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +33,State-gov,108116,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,366900,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,187355,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,60,Canada,>50K +38,Private,33105,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,70,United-States,>50K +51,Self-emp-not-inc,268639,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2057,60,Canada,<=50K +26,Private,358975,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,Hungary,<=50K +33,Private,199227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +44,Private,248249,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,460437,9th,5,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,187294,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +44,Private,115932,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,181762,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,55,United-States,>50K +21,Private,27049,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,806552,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +41,Private,150755,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,Canada,>50K +62,Private,69867,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +27,Private,160786,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,Germany,<=50K +38,Private,219546,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +60,Private,24872,Some-college,10,Separated,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Female,0,0,30,United-States,<=50K +24,Private,110371,12th,8,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K +24,?,376474,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,304602,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +32,?,143699,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,238917,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,Mexico,<=50K +51,Private,200618,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,183043,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K +42,Local-gov,209752,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +48,?,175653,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,14084,0,40,United-States,>50K +49,Private,196707,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,43,United-States,>50K +37,Local-gov,98725,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,42,United-States,<=50K +37,Self-emp-not-inc,180150,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +66,Private,151227,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +18,?,118847,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K +46,Private,282538,Assoc-voc,11,Separated,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,89534,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,291011,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,166187,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,38,United-States,>50K +19,Private,188669,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +37,Private,178948,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +42,Self-emp-inc,188738,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,Italy,>50K +39,Self-emp-not-inc,160808,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +54,Private,93605,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K +46,Private,318331,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,?,109921,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,32,United-States,<=50K +33,Private,87605,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +69,Self-emp-not-inc,89477,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,14,United-States,<=50K +21,Private,48301,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,220748,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,48,United-States,<=50K +39,Private,387068,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,Private,250743,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +26,Private,78258,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +42,Private,31387,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +36,Private,289190,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,604537,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K +35,Private,328466,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +42,Private,403187,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Private,219546,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,44,United-States,>50K +41,Private,220531,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,204648,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,201908,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +44,?,109912,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,16,United-States,>50K +18,Private,365683,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +41,Private,175674,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +31,Private,203488,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,106406,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,172756,1st-4th,2,Widowed,Machine-op-inspct,Not-in-family,White,Female,2062,0,34,Ecuador,<=50K +37,Private,125167,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Private,249339,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,94652,Some-college,10,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +40,Private,195394,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +25,Private,130302,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,66686,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +43,Private,336042,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,193586,Some-college,10,Separated,Farming-fishing,Other-relative,White,Female,0,0,40,United-States,<=50K +44,Private,325461,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +60,Local-gov,313852,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +38,Local-gov,30509,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,55,United-States,<=50K +21,Local-gov,32639,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +18,Private,234953,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,120629,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,27828,0,60,United-States,>50K +43,Private,350379,5th-6th,3,Divorced,Priv-house-serv,Unmarried,White,Female,0,0,40,Mexico,<=50K +26,?,176967,11th,7,Never-married,?,Not-in-family,White,Female,0,0,65,United-States,<=50K +36,Private,36423,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,25,United-States,>50K +31,Private,123397,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,5178,0,35,United-States,>50K +38,Private,130813,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,35236,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +58,Private,33350,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +55,Private,177380,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,29,United-States,<=50K +39,Private,216129,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,35,Jamaica,<=50K +38,Private,335104,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +54,Self-emp-not-inc,199741,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,2001,35,United-States,<=50K +57,Self-emp-inc,165881,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,387777,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,<=50K +44,Self-emp-not-inc,149943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,60,Taiwan,>50K +36,Private,188834,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,290661,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,155603,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,2205,40,United-States,<=50K +25,Private,114838,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,8,Italy,<=50K +54,Local-gov,168553,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,103064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,123833,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +60,Federal-gov,55621,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +66,Local-gov,189834,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Private,217926,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,341672,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,Asian-Pac-Islander,Male,0,1564,50,India,>50K +29,Private,163003,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,2202,0,40,Taiwan,<=50K +25,Private,194352,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,44,United-States,<=50K +62,?,54878,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +23,Private,393248,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,279315,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +33,Private,392812,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K +49,Self-emp-inc,34998,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +57,Self-emp-inc,51016,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +57,Local-gov,132717,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,186078,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Self-emp-inc,196123,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +43,Self-emp-inc,304906,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +26,Private,41521,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +40,Private,346847,Assoc-voc,11,Separated,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +39,Self-emp-not-inc,107233,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +39,Private,150125,Assoc-acdm,12,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,400535,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,409622,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,36,Mexico,<=50K +27,Private,136448,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,202950,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Iran,<=50K +40,Local-gov,197012,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Female,8614,0,40,England,>50K +57,Private,237691,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,170277,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,160784,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,33798,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,197838,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,223212,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +33,Private,125762,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,>50K +20,Private,283969,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,15,United-States,<=50K +25,Private,374163,12th,8,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,60,Mexico,<=50K +49,State-gov,118567,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,147655,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +45,Private,82797,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +36,Local-gov,142573,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +41,Private,235167,5th-6th,3,Married-spouse-absent,Priv-house-serv,Not-in-family,White,Female,0,0,32,Mexico,<=50K +23,Private,53245,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1602,12,United-States,<=50K +47,Private,28035,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +41,Private,247082,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,123397,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Local-gov,133327,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,102270,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +64,?,45817,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,240988,9th,5,Married-civ-spouse,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +19,Private,386378,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +31,State-gov,350651,12th,8,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +18,State-gov,76142,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +68,Private,73773,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +50,?,281504,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Local-gov,293358,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,48,United-States,<=50K +44,Private,146906,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +58,Self-emp-not-inc,331474,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +20,Private,213719,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +18,Private,101795,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,228265,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +49,Self-emp-not-inc,130206,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,324254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,223019,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,189666,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,139086,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,359327,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,<=50K +44,Self-emp-not-inc,75065,12th,8,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,Vietnam,<=50K +55,Private,139843,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +21,Private,34310,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2603,40,United-States,<=50K +54,Private,346014,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,40,United-States,<=50K +39,Local-gov,163278,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,2202,0,44,United-States,<=50K +52,Private,31460,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,38,United-States,<=50K +57,Self-emp-inc,33725,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +67,?,63552,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +58,State-gov,300623,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Local-gov,177072,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,16,United-States,<=50K +66,?,37331,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +41,Private,167725,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,131180,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,16,United-States,<=50K +58,Private,275859,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,8614,0,52,Mexico,>50K +50,Private,275181,5th-6th,3,Divorced,Other-service,Not-in-family,White,Male,0,0,37,Cuba,<=50K +31,Private,398988,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,222654,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,111129,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +26,Self-emp-not-inc,137795,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +33,Local-gov,242150,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +35,State-gov,237873,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Private,367749,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +26,Private,206600,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K +48,Federal-gov,247043,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,187702,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,41718,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,151835,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +18,Private,118938,11th,7,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K +48,Private,224870,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,Other,Female,0,0,38,Ecuador,<=50K +45,Private,178341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,61343,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,36989,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,226296,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,51,United-States,<=50K +29,Private,186624,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Cuba,<=50K +19,Private,172582,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +53,State-gov,227392,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,187563,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +71,Private,137499,HS-grad,9,Widowed,Sales,Other-relative,White,Female,0,0,16,United-States,<=50K +38,Private,239397,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,Mexico,<=50K +39,Local-gov,327164,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,140798,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Self-emp-inc,187450,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +52,Private,194580,5th-6th,3,Divorced,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,372682,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +20,Private,235442,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +30,Private,128065,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,91545,10th,6,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K +26,Private,154604,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Federal-gov,192150,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,216522,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,42,United-States,<=50K +58,Private,156040,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1848,40,United-States,>50K +24,Private,206861,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,97632,Some-college,10,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,32,United-States,<=50K +27,Private,189530,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +28,State-gov,381789,Some-college,10,Separated,Exec-managerial,Own-child,White,Male,0,2339,40,United-States,<=50K +57,Self-emp-inc,368797,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,41183,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +50,Private,191062,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,132963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,153551,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +27,Self-emp-not-inc,66473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,240323,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K +68,Local-gov,242095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,40,United-States,>50K +33,Self-emp-inc,128016,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,29526,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,18,United-States,<=50K +26,Private,342953,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Private,215476,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,30,United-States,<=50K +53,Private,231919,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,52537,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,38,United-States,<=50K +18,Private,27920,11th,7,Never-married,Exec-managerial,Own-child,White,Female,0,0,25,United-States,<=50K +53,Private,153052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,199303,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,233369,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,345789,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +60,Private,238913,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,>50K +28,Self-emp-not-inc,195607,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +34,Private,245173,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,1669,45,United-States,<=50K +37,Private,138441,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,67467,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,102569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +21,Private,213341,11th,7,Married-spouse-absent,Handlers-cleaners,Own-child,White,Male,0,1762,40,Dominican-Republic,<=50K +26,Private,37202,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +47,Private,140219,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +18,Private,298860,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +22,Private,51362,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K +36,Private,199947,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +59,Self-emp-not-inc,32552,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,183845,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,El-Salvador,<=50K +33,Private,181091,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,England,<=50K +53,Self-emp-inc,135643,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,50,South,<=50K +44,State-gov,96249,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K +55,Private,181220,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +56,Private,133025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +54,Self-emp-not-inc,124865,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +51,Private,45599,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,194293,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,2463,0,38,United-States,<=50K +43,Private,102180,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +44,Private,121130,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,138768,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +43,State-gov,98989,HS-grad,9,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +26,State-gov,126327,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,113364,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,18,United-States,<=50K +30,Private,326199,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2580,0,40,United-States,<=50K +46,Private,376789,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K +27,Private,137063,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,279145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,178815,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K +25,Self-emp-not-inc,245369,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +30,Federal-gov,49593,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,State-gov,238648,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,7298,0,40,United-States,>50K +47,Private,166181,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,48,United-States,>50K +66,Self-emp-inc,249043,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,5556,0,26,United-States,>50K +43,Private,156403,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +71,?,128529,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Federal-gov,186934,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1848,55,United-States,>50K +46,?,148489,HS-grad,9,Married-spouse-absent,?,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +44,Local-gov,387770,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,15,United-States,<=50K +42,Private,115511,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,201410,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1977,45,Philippines,>50K +36,Private,220585,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +60,Self-emp-not-inc,282066,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,45,United-States,>50K +37,Private,280966,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +26,Private,291586,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,142227,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +17,?,104025,11th,7,Never-married,?,Own-child,White,Male,0,0,18,United-States,<=50K +45,Local-gov,148254,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +54,Private,170562,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +22,Private,222490,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +63,Local-gov,57674,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +22,Private,233624,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +27,Private,42734,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +33,Private,233107,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,33,Mexico,<=50K +64,Private,143110,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Private,195844,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +44,Self-emp-not-inc,115896,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,303851,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,172475,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +53,Self-emp-not-inc,30008,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +33,Local-gov,147921,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Federal-gov,172716,12th,8,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,155057,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +43,?,152569,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,2339,36,United-States,<=50K +80,Self-emp-not-inc,132728,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K +31,Private,195136,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +40,Private,377322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +53,Local-gov,293941,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,182123,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +38,Private,32528,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,140206,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,378221,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Mexico,>50K +23,Private,211601,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,119411,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +52,Self-emp-not-inc,240013,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +24,Private,95552,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,183710,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,189382,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +52,Private,380633,5th-6th,3,Widowed,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +54,Private,53407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,150480,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +40,Private,175674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +28,Private,375313,HS-grad,9,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +21,?,278391,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +23,Private,212888,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,487085,7th-8th,4,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +22,Private,174461,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +55,Local-gov,133201,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +71,Private,77253,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,17,United-States,<=50K +47,Private,141511,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +17,Self-emp-inc,181608,10th,6,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K +31,Private,127610,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +32,Private,154571,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K +46,Private,33842,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,40,United-States,>50K +27,Private,150080,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,30916,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +40,Private,151294,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,48,United-States,<=50K +30,Private,48829,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1602,30,United-States,<=50K +17,Private,193769,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K +33,Private,277455,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +72,Private,225780,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Federal-gov,436341,Some-college,10,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +65,Private,255386,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +36,Private,174938,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +32,Private,174789,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,245628,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Mexico,<=50K +22,Private,228752,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,354148,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,48,United-States,>50K +31,Private,192900,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,190391,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,353263,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,Italy,>50K +34,Private,113198,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,28,United-States,<=50K +44,Private,207578,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +27,Private,93206,Some-college,10,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +50,Local-gov,163998,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K +47,Private,111961,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K +20,Private,219122,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,111445,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +29,Federal-gov,309778,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +37,Local-gov,223020,Assoc-voc,11,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +42,Private,303155,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,41035,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +68,Private,159191,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Local-gov,244408,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +72,Self-emp-not-inc,473748,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +45,Federal-gov,71823,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,20,United-States,<=50K +30,Local-gov,83066,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,150154,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,190786,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +56,Private,178033,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,4416,0,60,United-States,<=50K +25,Self-emp-not-inc,159909,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,190885,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +25,Private,243786,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +31,State-gov,124020,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Private,159016,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +37,Private,183800,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +58,Self-emp-not-inc,193434,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,245029,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +55,Private,98746,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,Canada,>50K +46,Federal-gov,140664,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +44,Private,344920,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,1617,20,United-States,<=50K +44,Private,169980,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,<=50K +28,State-gov,155397,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +42,Private,245317,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,74182,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,280570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +64,Self-emp-not-inc,30664,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +20,Private,109952,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +45,Local-gov,192793,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +31,Private,243442,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +36,Federal-gov,106297,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,328060,9th,5,Separated,Other-service,Unmarried,Other,Female,0,0,40,Mexico,<=50K +33,Self-emp-not-inc,48702,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +51,Self-emp-not-inc,111283,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,99999,0,35,United-States,>50K +36,Private,484024,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,208470,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,172032,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,51,United-States,>50K +40,Private,29927,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,England,<=50K +46,Private,98012,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,108468,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +30,Private,207301,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,1980,40,United-States,<=50K +26,Private,168403,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,66935,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,42044,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,184806,Prof-school,15,Never-married,Prof-specialty,Other-relative,White,Male,0,0,50,United-States,<=50K +39,Private,1455435,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,445382,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,278576,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +79,Self-emp-not-inc,84979,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +36,Private,659504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +44,Private,136986,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +23,Private,278107,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1573,30,United-States,<=50K +27,Private,96219,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +46,Self-emp-not-inc,131091,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +58,Private,205410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,416745,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,<=50K +36,Private,180667,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,60,United-States,>50K +21,Private,72119,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,State-gov,108945,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,14344,0,40,United-States,>50K +49,Federal-gov,195949,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,101345,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +29,Private,439263,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,35,Peru,<=50K +63,Private,213095,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +29,Federal-gov,59932,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,172815,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,40915,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +42,Private,139012,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +44,Private,121781,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,37,United-States,<=50K +51,?,130667,HS-grad,9,Separated,?,Not-in-family,Black,Male,0,0,6,United-States,<=50K +41,Self-emp-not-inc,147110,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,25,United-States,<=50K +22,Local-gov,237811,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,Haiti,<=50K +36,?,128640,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +18,Private,111476,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +33,Local-gov,289716,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,141944,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +49,Private,323773,11th,7,Married-civ-spouse,Priv-house-serv,Other-relative,White,Female,0,0,40,United-States,<=50K +41,State-gov,176663,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +52,Private,155233,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,143327,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Federal-gov,177212,Some-college,10,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,123088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +30,Local-gov,47085,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,102106,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,235894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +71,Self-emp-not-inc,172046,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +20,Self-emp-not-inc,197207,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +26,Private,152452,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,172928,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +36,?,214896,9th,5,Divorced,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +49,Private,116338,HS-grad,9,Separated,Prof-specialty,Unmarried,White,Female,0,653,60,United-States,<=50K +48,Private,276664,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +22,Private,59924,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,194141,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,1617,40,United-States,<=50K +51,Private,95128,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,292504,Some-college,10,Married-spouse-absent,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Self-emp-inc,45796,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,119359,Prof-school,15,Married-civ-spouse,Sales,Wife,Amer-Indian-Eskimo,Female,15024,0,40,South,>50K +52,State-gov,104280,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +57,Private,172291,HS-grad,9,Divorced,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +35,Private,180988,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K +52,Private,110748,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +59,?,556688,9th,5,Divorced,?,Not-in-family,White,Female,0,0,12,United-States,<=50K +36,Private,22494,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,267859,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K +67,Local-gov,256821,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,20,United-States,<=50K +31,Self-emp-not-inc,117346,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +31,Private,62374,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,314659,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K +72,?,114761,7th-8th,4,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K +36,Private,93225,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,165315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +56,Private,124771,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,27408,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,198841,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,271792,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,64289,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,183390,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,240771,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,50,United-States,>50K +30,Private,234919,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,El-Salvador,<=50K +20,Private,88231,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,154422,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +37,Private,119098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +53,State-gov,151580,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K +54,Private,118793,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +32,?,30499,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,32,United-States,<=50K +34,?,166545,Some-college,10,Married-civ-spouse,?,Wife,White,Female,7688,0,6,United-States,>50K +30,Private,271710,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +43,State-gov,308498,HS-grad,9,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,172695,Assoc-voc,11,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,29962,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +62,Private,200332,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,291702,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,67234,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,168038,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,32,United-States,<=50K +34,Private,137814,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +64,Private,126233,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +42,Self-emp-not-inc,79036,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +60,Self-emp-not-inc,327474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +44,Private,145160,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,58,United-States,<=50K +67,?,37092,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +45,Private,129387,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,?,<=50K +53,Self-emp-not-inc,33304,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +37,Private,359001,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,50,United-States,>50K +32,?,143162,10th,6,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,133515,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +28,Private,168901,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +55,Private,750972,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +58,Private,142924,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,>50K +74,Self-emp-inc,228075,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,25,United-States,>50K +27,Private,91189,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,290609,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,?,31102,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,4,South,<=50K +44,Self-emp-not-inc,216921,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,United-States,<=50K +23,Private,120046,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,324629,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Yugoslavia,<=50K +45,Private,81132,Some-college,10,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,>50K +29,Private,160279,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,229732,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +61,Local-gov,144723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +29,Private,148431,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,Other,Female,7688,0,45,United-States,>50K +22,Private,160398,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,38,United-States,<=50K +28,Private,129460,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +30,Private,252752,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,58222,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +28,?,424884,10th,6,Separated,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +45,Private,114459,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +19,?,46400,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,24,United-States,<=50K +42,Private,223934,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,84119,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,159123,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,195532,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,191299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,198316,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Private,162301,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +35,Private,143152,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,3908,0,27,United-States,<=50K +24,Private,92609,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +27,Private,247819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +27,Local-gov,229223,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,>50K +45,Self-emp-inc,142719,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +80,Private,86111,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +23,State-gov,35633,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,164749,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,607848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Private,173630,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +90,Private,311184,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,?,<=50K +55,Private,49737,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +72,Private,183616,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,England,<=50K +65,Private,129426,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,454915,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,55568,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +38,Private,29874,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,393715,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +50,Private,143953,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +54,Private,90363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,53727,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +30,Private,130021,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +50,Private,173630,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +28,Private,410351,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,399386,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,53,United-States,<=50K +55,Private,157932,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,133061,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,46400,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +21,Private,107895,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K +39,Private,63021,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,Private,186144,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,27959,HS-grad,9,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +26,Private,179569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,State-gov,101299,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,113129,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,65,United-States,<=50K +32,Private,316470,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,Mexico,<=50K +60,Self-emp-not-inc,89884,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,32121,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +21,Private,315303,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,20,United-States,<=50K +27,Private,254500,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,36,United-States,<=50K +33,Private,419895,5th-6th,3,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,Mexico,<=50K +43,Private,159549,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,160786,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +18,Self-emp-not-inc,258474,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,370119,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,50837,7th-8th,4,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Private,137506,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,548256,12th,8,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,40,United-States,>50K +42,Local-gov,175642,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,99999,0,40,United-States,>50K +24,Private,183594,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Private,341353,Bachelors,13,Never-married,Other-service,Other-relative,White,Male,0,0,15,United-States,<=50K +43,Self-emp-inc,247981,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,5455,0,50,United-States,<=50K +34,Private,193565,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,39606,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,127149,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +31,?,233371,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,45,United-States,<=50K +49,Self-emp-not-inc,182752,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +26,Private,269060,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,179949,HS-grad,9,Divorced,Transport-moving,Unmarried,Black,Female,0,0,20,United-States,<=50K +22,Federal-gov,32950,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1902,37,United-States,<=50K +26,Private,160445,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,223999,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,1848,40,United-States,>50K +39,Private,81487,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,625,40,United-States,<=50K +23,Private,314539,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +62,?,337721,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +42,Local-gov,100793,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +39,Federal-gov,255407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,92775,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,33308,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K +68,State-gov,493363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +30,?,159589,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,46,United-States,>50K +32,Private,107218,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +25,Private,123586,Some-college,10,Never-married,Adm-clerical,Unmarried,Other,Male,0,0,40,United-States,<=50K +53,Private,158352,5th-6th,3,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,24,Italy,<=50K +38,Private,76317,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +62,?,176753,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,122346,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,463194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,162228,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,115005,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,State-gov,183285,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,36,United-States,<=50K +34,Private,169605,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +24,Private,450695,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +44,Local-gov,124692,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +19,Private,63918,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,102569,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Private,289309,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,48,United-States,<=50K +45,Private,101825,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +43,Private,206833,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,45,United-States,<=50K +22,?,77873,9th,5,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +50,Private,145333,Doctorate,16,Divorced,Prof-specialty,Other-relative,White,Male,10520,0,50,United-States,>50K +72,?,194548,Some-college,10,Married-spouse-absent,?,Not-in-family,White,Male,0,0,3,United-States,<=50K +29,Private,206351,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,198200,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,140001,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,El-Salvador,<=50K +22,?,287988,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,15,United-States,<=50K +21,Private,143604,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,146161,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +37,Private,196529,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,2354,0,40,?,<=50K +74,Self-emp-not-inc,192413,Prof-school,15,Divorced,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +70,Self-emp-not-inc,139889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,2653,0,70,United-States,<=50K +27,Private,104917,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Local-gov,161478,Bachelors,13,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,46,United-States,<=50K +30,Private,35644,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +29,Local-gov,116751,Assoc-voc,11,Divorced,Protective-serv,Unmarried,White,Male,0,0,56,United-States,<=50K +18,Private,238867,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,1602,40,United-States,<=50K +31,Private,265706,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +39,State-gov,179668,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,<=50K +21,Private,57951,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +31,Private,176711,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K +33,Local-gov,368675,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,216149,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,>50K +29,Private,173851,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,90705,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1485,40,United-States,<=50K +52,State-gov,216342,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +35,Private,140752,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +33,Private,116508,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,?,224361,9th,5,Divorced,?,Unmarried,White,Female,0,0,5,Cuba,<=50K +43,Private,180303,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +66,?,196736,1st-4th,2,Never-married,?,Not-in-family,Black,Male,0,0,30,United-States,<=50K +51,Local-gov,110327,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,185607,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +17,Local-gov,244856,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,198068,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,97136,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Self-emp-inc,164658,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +54,Private,235693,11th,7,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +45,Private,197038,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +47,Local-gov,97419,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,208872,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1672,98,United-States,<=50K +32,Private,205528,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-inc,146042,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Self-emp-inc,222641,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Self-emp-inc,376936,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Local-gov,138077,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,>50K +24,Private,155913,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,<=50K +45,Private,36006,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +19,Private,214678,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +46,Private,369538,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +50,Private,166565,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,257043,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +47,Self-emp-inc,181130,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +69,?,254834,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,10605,0,10,United-States,>50K +43,Self-emp-not-inc,38876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,187073,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,156996,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2415,55,?,>50K +90,Private,313749,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +41,Private,331651,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,Japan,>50K +24,Private,243368,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K +24,Private,32921,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +24,Private,117167,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,53,United-States,<=50K +35,Private,401930,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1887,42,United-States,>50K +30,Private,114691,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Private,99385,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Local-gov,210308,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1721,30,United-States,<=50K +39,Private,252327,9th,5,Separated,Craft-repair,Own-child,White,Male,0,0,35,Mexico,<=50K +43,Private,90582,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,190194,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,264188,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +34,Private,243776,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Private,67065,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,204209,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +24,Private,226668,HS-grad,9,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K +34,Self-emp-inc,174215,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,4787,0,45,France,>50K +33,Private,315143,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Cuba,>50K +37,Private,118681,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,38,Puerto-Rico,<=50K +39,Self-emp-not-inc,208109,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +58,Private,116901,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +36,Self-emp-not-inc,405644,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K +33,Federal-gov,293550,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,4064,0,40,United-States,<=50K +42,Local-gov,328581,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +31,Private,217962,Some-college,10,Never-married,Protective-serv,Other-relative,Black,Male,0,0,40,?,<=50K +57,Private,158827,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +67,Federal-gov,65475,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +23,Private,159709,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,140474,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +43,Private,144778,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,Italy,>50K +39,Self-emp-not-inc,83242,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,143385,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Local-gov,167544,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,13,United-States,<=50K +25,Private,122175,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,378747,10th,6,Separated,Transport-moving,Unmarried,Black,Male,0,0,45,United-States,>50K +24,Private,230475,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +50,Self-emp-inc,120781,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,60,South,>50K +70,Private,206232,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +61,Private,298400,Bachelors,13,Divorced,Sales,Not-in-family,Black,Male,4787,0,48,United-States,>50K +51,Federal-gov,163671,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,<=50K +38,Self-emp-not-inc,140583,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +51,Private,137253,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +28,Private,246974,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,182470,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +57,Self-emp-inc,107617,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,>50K +44,Self-emp-inc,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,50,?,>50K +29,Private,250819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,196508,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +42,Private,367533,10th,6,Married-civ-spouse,Craft-repair,Own-child,Other,Male,0,0,43,United-States,>50K +74,Private,188709,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +50,Private,271160,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,173674,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,14,United-States,<=50K +64,?,257790,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,38,United-States,<=50K +44,Private,322391,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +34,Private,209691,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,50,United-States,>50K +17,Private,104232,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +17,?,86786,10th,6,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,88233,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,240888,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,169719,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,40,United-States,>50K +20,Private,129240,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,160968,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +34,Private,236861,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,109282,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +32,Private,215047,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,115932,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Ireland,>50K +28,Private,55360,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +44,Private,224658,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +29,Local-gov,376302,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,Nicaragua,>50K +28,Private,183597,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,594,0,50,Germany,<=50K +37,Private,115289,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,258883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,69132,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,207301,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,20,United-States,<=50K +37,Private,179671,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,140456,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,327397,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +60,Private,200235,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Self-emp-not-inc,108435,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,30,United-States,<=50K +47,Private,195978,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Private,329144,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,>50K +48,Self-emp-inc,250674,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +57,?,176897,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +50,Self-emp-inc,132716,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K +62,Private,174201,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +45,Private,167617,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,254949,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,319582,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,32,United-States,<=50K +25,Private,248990,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Guatemala,<=50K +49,Private,144396,11th,7,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +32,State-gov,200469,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,3887,0,40,United-States,<=50K +25,Federal-gov,55636,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +39,Private,185624,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +27,Local-gov,125442,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,160943,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,>50K +30,Private,243841,HS-grad,9,Divorced,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K +21,Private,34616,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Private,235847,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +33,Private,174789,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,280111,11th,7,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +70,Private,236055,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,237865,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,42,United-States,<=50K +17,Private,194612,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +20,Private,173851,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,372483,Some-college,10,Never-married,Other-service,Other-relative,Black,Male,0,0,35,United-States,<=50K +71,Federal-gov,422149,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,40,United-States,>50K +31,Private,174201,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,272618,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +52,Private,74660,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,201481,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,175232,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +25,Private,336440,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,46645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,9,United-States,<=50K +48,State-gov,31141,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K +53,Private,281425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Self-emp-not-inc,31510,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Private,310255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +32,Federal-gov,82393,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,56,United-States,>50K +59,Self-emp-not-inc,190514,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +49,Private,165513,Some-college,10,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +65,?,178931,HS-grad,9,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,3818,0,40,United-States,<=50K +31,Private,226696,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +53,Private,195813,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Other,Male,5178,0,40,Puerto-Rico,>50K +44,Private,165815,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,123983,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,55,Japan,>50K +36,Private,235371,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,147258,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +63,?,222289,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,7688,0,54,United-States,>50K +67,Self-emp-inc,171564,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,20051,0,30,England,>50K +29,Private,255949,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,40,United-States,<=50K +52,Private,186272,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,282872,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,40,United-States,<=50K +21,Private,111676,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,199501,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,38,United-States,<=50K +24,Private,151443,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,30,United-States,<=50K +31,Private,145935,HS-grad,9,Never-married,Exec-managerial,Own-child,Black,Male,0,0,40,United-States,<=50K +54,Federal-gov,230387,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +44,Private,127592,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,210828,Some-college,10,Never-married,Handlers-cleaners,Own-child,Other,Male,0,0,30,United-States,<=50K +41,Private,297186,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,116554,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +30,Private,144593,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,?,<=50K +26,State-gov,147719,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +68,Self-emp-not-inc,89011,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Canada,<=50K +31,Private,38158,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,178686,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +80,?,172826,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +26,Private,155752,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +63,Private,100099,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,231688,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +30,?,147215,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +42,Self-emp-inc,50122,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +64,Federal-gov,86837,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +32,Private,113364,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,289390,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +73,Private,77884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +32,Private,390157,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,89587,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,45,United-States,>50K +58,Private,234328,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Local-gov,365430,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +24,Private,410439,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K +53,Private,129525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,166527,Some-college,10,Never-married,Exec-managerial,Own-child,Other,Female,0,0,40,United-States,<=50K +42,?,109912,Assoc-acdm,12,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +30,Private,210906,HS-grad,9,Married-civ-spouse,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,405284,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +28,Private,138269,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,25429,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,231672,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +26,Private,258550,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,268147,9th,5,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,54411,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,?,<=50K +54,Private,37289,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +23,Private,157951,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Self-emp-inc,225165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +37,Private,238049,9th,5,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,El-Salvador,<=50K +31,Private,197252,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +56,Self-emp-inc,216636,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1651,40,United-States,<=50K +25,Private,183575,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,19752,11th,7,Never-married,Other-service,Own-child,Black,Female,0,0,25,United-States,<=50K +37,Private,103925,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,68,United-States,<=50K +60,Private,31577,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,61298,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Federal-gov,190541,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,366089,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +28,?,389857,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Male,0,0,16,United-States,<=50K +33,?,192644,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,216129,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1408,50,United-States,<=50K +29,Private,51944,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,4386,0,40,United-States,>50K +33,Self-emp-not-inc,67482,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,<=50K +29,?,108775,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +23,State-gov,279243,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,278391,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,Nicaragua,<=50K +60,Private,349898,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,44,United-States,<=50K +44,Private,219441,10th,6,Never-married,Sales,Unmarried,Other,Female,0,0,35,Dominican-Republic,<=50K +18,Private,173255,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,1055,0,25,United-States,<=50K +52,Federal-gov,29623,12th,8,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,217460,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,163604,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,>50K +33,Private,163110,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3781,0,40,United-States,<=50K +20,Private,238685,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +27,?,251854,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,35,?,>50K +33,Private,213308,Assoc-voc,11,Separated,Adm-clerical,Own-child,Black,Female,0,0,50,United-States,<=50K +25,Private,193773,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +63,Private,114011,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K +63,Self-emp-not-inc,52144,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +43,Private,347934,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +58,Private,293399,11th,7,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,?,118630,Assoc-voc,11,Widowed,?,Unmarried,White,Female,0,0,35,United-States,<=50K +35,Private,127306,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,14344,0,40,United-States,>50K +42,Private,366180,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +20,Local-gov,188950,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,189382,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,24515,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,283116,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,1506,0,50,United-States,<=50K +43,Self-emp-not-inc,182217,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K +19,Private,552354,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,163021,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,61885,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +36,Self-emp-not-inc,182898,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +45,Private,183092,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +48,Private,30289,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +29,Private,77572,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +48,State-gov,118330,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +36,Private,469056,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +58,Private,145574,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,302041,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +59,Private,32552,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,United-States,<=50K +42,Private,185413,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Federal-gov,26543,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +23,Federal-gov,163870,Some-college,10,Never-married,Armed-Forces,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,240063,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +48,Private,208748,5th-6th,3,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K +32,Local-gov,84119,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,84130,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +66,Local-gov,261062,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Local-gov,336010,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K +52,Private,389270,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +17,Private,138293,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +35,Private,240389,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,43,United-States,>50K +39,Private,190297,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K +21,?,170070,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,10,United-States,<=50K +24,Private,149457,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,81534,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,84,Japan,>50K +25,Private,378322,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,2001,50,United-States,<=50K +29,Federal-gov,196912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +56,Private,116143,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,44,United-States,>50K +34,Self-emp-not-inc,80933,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Local-gov,190660,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +27,Private,120155,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,39,United-States,<=50K +47,Private,167159,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4650,0,40,United-States,<=50K +36,Private,58343,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,42,United-States,>50K +44,Federal-gov,161240,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,126402,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Black,Female,0,0,60,United-States,<=50K +23,Private,148709,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +45,Local-gov,318280,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +31,Local-gov,80058,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,64,United-States,<=50K +45,Private,274689,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +42,Private,157367,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,?,<=50K +33,Private,217460,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,33727,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,166961,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +25,Private,146117,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K +33,Private,160216,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,32,?,<=50K +70,Self-emp-not-inc,124449,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2246,8,United-States,>50K +22,Private,50163,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,235271,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +46,Private,121124,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +43,Self-emp-not-inc,144218,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,94334,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,25,United-States,<=50K +59,Self-emp-inc,169982,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +51,Self-emp-not-inc,35295,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K +47,Private,133969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,2885,0,65,Japan,<=50K +36,Private,35429,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +73,Local-gov,205580,5th-6th,3,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,6,United-States,<=50K +32,Local-gov,177794,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,167474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +51,Local-gov,35211,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,117244,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,45,United-States,<=50K +57,Private,194850,Some-college,10,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,Mexico,<=50K +19,Private,144911,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,197240,12th,8,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +55,Private,101338,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,148522,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +19,Private,97261,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,166606,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,229414,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +34,Local-gov,209213,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Male,0,0,15,United-States,<=50K +26,Private,291968,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,40,United-States,>50K +73,Federal-gov,127858,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,3273,0,40,United-States,<=50K +27,Private,302406,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +37,Self-emp-not-inc,29054,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,84,United-States,<=50K +73,Self-emp-not-inc,336007,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,349230,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,1848,40,United-States,>50K +36,Local-gov,101481,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,46704,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +49,Private,233639,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +68,Local-gov,31725,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,54850,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1590,50,United-States,<=50K +30,Private,293512,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,375655,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +28,Private,105817,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Local-gov,203408,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,162302,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +40,Private,163455,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,>50K +32,Local-gov,100135,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,?,41517,11th,7,Married-spouse-absent,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +18,Private,102182,12th,8,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,414683,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +26,Private,194352,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,194096,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,45,United-States,<=50K +90,Local-gov,153602,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,6767,0,40,United-States,<=50K +20,Private,215495,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +27,Private,164607,Bachelors,13,Separated,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +58,Local-gov,34878,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,126569,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +65,?,315728,HS-grad,9,Widowed,?,Unmarried,White,Female,2329,0,75,United-States,<=50K +28,Private,22422,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,178222,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +45,Local-gov,56841,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,300275,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +69,Local-gov,197288,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +58,Self-emp-not-inc,157786,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,110684,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +58,Self-emp-not-inc,140729,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +53,Federal-gov,90127,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +44,Self-emp-inc,37997,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,61308,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,171199,Bachelors,13,Divorced,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Puerto-Rico,<=50K +48,Private,128432,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,195023,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,122473,9th,5,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,625,40,United-States,<=50K +43,Private,171888,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Self-emp-inc,183784,10th,6,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +20,Private,219262,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,71379,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +19,?,234519,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,96824,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,242597,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,127388,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,204536,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +54,Private,143804,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,80680,Some-college,10,Married-civ-spouse,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +36,Private,301227,5th-6th,3,Separated,Priv-house-serv,Unmarried,Other,Female,0,0,35,Mexico,<=50K +26,Self-emp-not-inc,201930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +25,Local-gov,176616,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,353219,9th,5,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,126076,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,156493,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,435503,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,Self-emp-inc,561489,Masters,14,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,<=50K +22,Federal-gov,100345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,43,United-States,<=50K +18,Private,36275,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +46,Private,110794,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Local-gov,143766,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +30,Federal-gov,76313,HS-grad,9,Married-civ-spouse,Armed-Forces,Other-relative,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +31,Private,121308,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,216672,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,89942,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,3674,0,45,United-States,<=50K +45,State-gov,103406,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +30,State-gov,158291,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,455361,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K +44,Private,225263,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,1408,46,United-States,<=50K +54,Private,225307,11th,7,Divorced,Craft-repair,Own-child,White,Female,0,0,50,United-States,>50K +36,Private,286115,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +50,Private,187830,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +26,Private,142506,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +47,Local-gov,148576,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +36,Private,185325,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K +32,Self-emp-not-inc,27939,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +21,Private,383603,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,140790,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,226629,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K +51,Private,228516,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,45,Columbia,<=50K +55,Self-emp-not-inc,119762,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,299197,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,149297,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +28,Local-gov,202558,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,175232,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Self-emp-not-inc,157473,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,?,409842,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,105787,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,36,United-States,<=50K +68,Private,144056,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3818,0,40,United-States,<=50K +46,Private,45363,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,2824,40,United-States,>50K +21,Private,205838,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K +23,Private,115326,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +17,Private,186890,10th,6,Married-civ-spouse,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +23,Local-gov,304386,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,24529,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Male,0,0,15,United-States,<=50K +33,Private,183557,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,342730,Assoc-acdm,12,Separated,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,?,182191,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,4064,0,30,Canada,<=50K +56,Self-emp-not-inc,67841,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,351381,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,293691,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,1590,40,Japan,<=50K +41,Self-emp-inc,220821,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +26,Private,190027,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Private,343944,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,110457,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,State-gov,72333,HS-grad,9,Divorced,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,193494,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +35,Private,334999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +44,Self-emp-not-inc,274363,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +58,Self-emp-inc,113806,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,30,United-States,>50K +25,Private,52536,Assoc-acdm,12,Divorced,Tech-support,Own-child,White,Female,0,1594,25,United-States,<=50K +44,Private,187720,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +57,Private,104996,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +24,Private,214555,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,52963,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,190511,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,2176,0,35,United-States,<=50K +25,Private,75821,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,123291,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K +50,Local-gov,226497,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K +35,Private,282979,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +36,Private,166549,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,>50K +27,Private,187746,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,157145,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +30,Private,227551,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,115306,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,169249,HS-grad,9,Separated,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +34,State-gov,221966,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,224566,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +19,Private,28119,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,4,United-States,<=50K +19,Private,323810,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,210498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,174995,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,2290,0,30,Hungary,<=50K +38,Private,161141,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +44,Private,210534,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +34,Self-emp-not-inc,112650,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,State-gov,318891,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Local-gov,375655,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,228465,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,?,102130,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +73,Private,183213,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Male,25124,0,60,United-States,>50K +35,Local-gov,177305,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,40,United-States,<=50K +41,Private,34037,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,116613,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,50,United-States,<=50K +25,Private,175540,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,150768,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,1564,51,United-States,>50K +36,Private,176634,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,>50K +36,Private,209993,1st-4th,2,Widowed,Other-service,Other-relative,White,Female,0,0,20,Mexico,<=50K +25,Local-gov,206002,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,201259,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +26,Local-gov,202286,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,96062,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,40,United-States,<=50K +36,Local-gov,578377,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,509500,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,4787,0,45,United-States,>50K +53,Local-gov,324021,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,107737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +41,State-gov,129865,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,103586,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K +23,Private,187513,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,<=50K +28,Private,172891,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +53,Local-gov,207449,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,209103,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,>50K +33,Private,408813,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,209292,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,32,Dominican-Republic,<=50K +52,Private,144361,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +31,Private,209538,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,55,United-States,<=50K +27,Private,244402,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +44,Private,889965,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,3137,0,30,United-States,<=50K +37,Self-emp-not-inc,298444,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,163237,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,311795,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +42,Private,155972,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +49,Private,291783,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,153535,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,36,United-States,<=50K +43,Private,249771,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,99,United-States,<=50K +43,Private,462180,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +31,Private,308540,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,34701,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Federal-gov,106252,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,138944,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +37,Private,140713,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,Jamaica,>50K +53,Local-gov,216931,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,4386,0,40,United-States,>50K +26,Private,162312,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,20,Philippines,<=50K +59,Self-emp-inc,253062,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +36,Federal-gov,359249,Some-college,10,Separated,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,231413,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +53,Local-gov,197054,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,130931,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +35,Private,30565,HS-grad,9,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +48,Private,105138,HS-grad,9,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +30,Local-gov,178383,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,241998,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +58,Self-emp-not-inc,196403,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K +44,Private,232421,HS-grad,9,Married-spouse-absent,Transport-moving,Not-in-family,Other,Male,0,0,32,Canada,<=50K +30,Private,130369,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +68,Self-emp-not-inc,336329,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,10,United-States,<=50K +26,Local-gov,337867,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +26,Local-gov,104614,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,223548,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +43,State-gov,506329,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K +48,Private,64479,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,47,United-States,<=50K +55,Private,284095,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +50,Self-emp-not-inc,221336,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,?,<=50K +41,Private,428499,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,50,United-States,>50K +52,Private,208302,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,<=50K +24,?,412156,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,Mexico,<=50K +31,Self-emp-not-inc,182177,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +54,Local-gov,129972,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,>50K +31,Self-emp-not-inc,186420,Masters,14,Separated,Tech-support,Not-in-family,White,Female,0,0,25,United-States,<=50K +31,Self-emp-inc,203488,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +47,Private,128796,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,55395,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,State-gov,314770,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +45,Private,135044,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,319248,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,25,Mexico,<=50K +34,Local-gov,236415,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,18,United-States,<=50K +48,?,151584,Some-college,10,Never-married,?,Not-in-family,White,Male,8614,0,60,United-States,>50K +19,?,133983,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +56,Private,81220,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K +47,Private,151087,HS-grad,9,Separated,Prof-specialty,Other-relative,Other,Female,0,0,40,Puerto-Rico,<=50K +35,Private,322171,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +25,Private,190628,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K +43,Local-gov,106982,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,227856,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,37,United-States,>50K +66,?,213477,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,10,United-States,<=50K +63,Private,266083,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +32,Private,257068,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,White,Female,0,0,37,United-States,<=50K +58,?,37591,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,150533,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,>50K +27,Private,211184,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K +21,Private,136610,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K +44,Federal-gov,244054,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K +40,Self-emp-not-inc,240698,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +65,Private,172906,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,238959,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +18,?,163085,HS-grad,9,Separated,?,Own-child,White,Male,0,0,20,United-States,<=50K +51,State-gov,172022,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +44,Federal-gov,218062,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,201799,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K +29,Private,150717,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,94391,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +50,Local-gov,153064,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +43,Private,156771,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,216639,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,82161,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,?,159159,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K +58,Self-emp-not-inc,310014,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +50,State-gov,133014,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,36214,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K +21,Private,399022,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +33,Private,179758,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +52,Private,48947,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +47,Private,201865,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,319122,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,14084,0,45,United-States,>50K +34,Private,155151,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,24106,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Philippines,>50K +31,Private,257863,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +19,?,28967,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,379393,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +45,Self-emp-not-inc,152752,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,3,United-States,<=50K +34,Private,154874,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,4416,0,30,United-States,<=50K +27,Private,154210,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,India,<=50K +37,Private,335716,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,94744,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +32,Private,133861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,48,United-States,>50K +24,Private,240137,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +39,Private,80004,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,109702,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +62,Self-emp-not-inc,39610,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +24,Private,90046,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,193855,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,206889,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Private,86298,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,149650,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,2559,48,United-States,>50K +25,Private,323139,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +44,Private,237993,Prof-school,15,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,?,<=50K +24,Private,36058,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Private,163393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +45,Local-gov,93535,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,112952,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +48,Private,182541,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +26,Local-gov,73392,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +40,?,507086,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,32,United-States,<=50K +68,Private,195868,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,20051,0,40,United-States,>50K +24,Private,276851,HS-grad,9,Divorced,Protective-serv,Own-child,White,Female,0,1762,40,United-States,<=50K +25,?,39901,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +31,Local-gov,33124,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +55,Private,419732,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +46,Private,171095,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,0,0,38,United-States,<=50K +58,Private,199278,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +56,Private,235205,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,168232,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,>50K +24,Private,145964,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +35,Local-gov,72338,HS-grad,9,Divorced,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,56,United-States,<=50K +51,Private,153870,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +47,Private,323798,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K +17,Private,198830,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,10,United-States,<=50K +21,Private,267040,10th,6,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,167187,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +42,Private,230684,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +56,Private,659558,12th,8,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,181661,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,186144,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Other,Female,0,0,40,Mexico,<=50K +20,Federal-gov,178517,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,Self-emp-not-inc,131417,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,1797,0,21,United-States,<=50K +44,Private,57233,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,379798,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,122175,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +38,Private,107302,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +31,Local-gov,127651,10th,6,Never-married,Transport-moving,Other-relative,White,Male,0,1741,40,United-States,<=50K +33,Self-emp-not-inc,102884,Bachelors,13,Married-civ-spouse,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +49,Self-emp-not-inc,241753,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,173611,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,232666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,352207,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +37,Self-emp-not-inc,241998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,5,United-States,>50K +52,Private,279129,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,>50K +27,Private,177057,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,155659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,55,United-States,>50K +21,Private,251603,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Federal-gov,19914,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +61,Private,115023,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +32,Private,101709,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +21,Private,313702,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,250068,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +34,Private,227359,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K +21,State-gov,196827,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K +44,Private,118550,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,33,United-States,<=50K +26,Private,285004,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,35,South,<=50K +36,Private,280169,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +39,Private,144608,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,>50K +52,Private,76860,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,8,Philippines,<=50K +44,Self-emp-not-inc,167280,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,334783,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +60,?,141580,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +31,Private,226443,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,366065,Some-college,10,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +23,Private,225724,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,25,United-States,<=50K +81,State-gov,132204,1st-4th,2,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Private,258276,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,3137,0,40,?,<=50K +38,Private,197711,10th,6,Divorced,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Portugal,<=50K +21,Private,30619,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +28,Local-gov,335015,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,61272,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,106544,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,144169,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,40295,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,99,United-States,<=50K +56,Private,266091,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2907,0,52,Cuba,<=50K +57,Private,143030,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,?,<=50K +42,State-gov,192397,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +43,Private,114351,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +48,?,63466,HS-grad,9,Married-spouse-absent,?,Unmarried,White,Female,0,0,32,United-States,<=50K +53,Private,132304,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Scotland,<=50K +58,Private,128162,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,24,United-States,<=50K +19,Private,125938,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,40,El-Salvador,<=50K +37,Private,170174,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,>50K +41,Self-emp-not-inc,203451,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +31,Private,109917,7th-8th,4,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,114937,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +53,Local-gov,231196,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,238474,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +56,Private,314149,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +55,Federal-gov,31728,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +51,Private,360131,5th-6th,3,Married-civ-spouse,Craft-repair,Other-relative,White,Female,0,0,40,United-States,<=50K +62,Private,141308,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,83411,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +45,?,119835,7th-8th,4,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,<=50K +28,Local-gov,296537,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,193047,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +62,State-gov,39630,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,213975,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +60,Local-gov,259803,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +23,Federal-gov,55465,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,181307,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +21,Private,211301,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +51,Private,200450,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +61,Local-gov,176731,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,140985,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,99999,0,30,United-States,>50K +76,Private,125784,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,152176,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,39,United-States,<=50K +31,Self-emp-not-inc,111423,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +43,Private,130126,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +58,Federal-gov,30111,Some-college,10,Widowed,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +18,?,214989,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,24,United-States,<=50K +19,Private,272800,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +44,Private,195881,Some-college,10,Divorced,Exec-managerial,Other-relative,White,Female,0,0,45,United-States,<=50K +41,Local-gov,170924,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Male,0,0,7,United-States,<=50K +21,Private,131473,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,20,Vietnam,<=50K +40,Private,149466,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K +25,Private,190418,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,Canada,<=50K +62,Local-gov,167889,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,Iran,<=50K +42,Private,177989,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,186035,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,195805,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +60,Private,54800,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +20,Private,100605,HS-grad,9,Never-married,Sales,Own-child,Other,Male,0,0,40,Puerto-Rico,<=50K +23,Private,253190,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +18,Private,203301,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,175696,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +19,Private,278304,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +51,Private,93193,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Local-gov,158688,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,327612,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,210844,Some-college,10,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,147340,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +71,Self-emp-not-inc,130436,1st-4th,2,Divorced,Craft-repair,Not-in-family,White,Female,0,0,28,United-States,<=50K +25,Private,206600,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K +73,Private,284680,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +45,Private,127738,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,213412,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Private,287927,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,<=50K +44,Private,249332,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Ecuador,<=50K +44,Local-gov,290403,Assoc-voc,11,Divorced,Protective-serv,Own-child,White,Female,0,0,40,Cuba,<=50K +49,Private,54772,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K +44,Self-emp-inc,56651,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +42,Federal-gov,178470,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,62865,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,45,United-States,<=50K +66,Private,107196,HS-grad,9,Widowed,Tech-support,Not-in-family,White,Female,0,0,18,United-States,<=50K +19,Private,86860,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,15,United-States,<=50K +60,Private,130684,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +46,Private,164682,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,198316,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +59,Private,261816,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,52,Outlying-US(Guam-USVI-etc),<=50K +58,Private,280309,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,60,United-States,>50K +47,Private,97176,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,95835,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,36,United-States,<=50K +69,?,323016,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,99999,0,40,United-States,>50K +17,?,280670,10th,6,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,136306,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +28,Private,65171,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,70,United-States,<=50K +37,Private,25864,HS-grad,9,Separated,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +30,Private,149531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,33887,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,172822,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,2824,76,United-States,>50K +59,Private,106748,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K +45,Private,131826,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +53,Local-gov,216691,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,10520,0,40,United-States,>50K +37,Private,133328,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,164737,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Local-gov,99064,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,59460,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +27,Private,208725,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,138513,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,121055,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,149784,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,114495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,?,133278,12th,8,Separated,?,Unmarried,Black,Female,0,0,53,United-States,<=50K +32,Private,212276,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +32,Private,440129,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,38,Mexico,<=50K +47,Private,98012,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,United-States,>50K +27,Private,145284,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,177147,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,141537,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,48093,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,92,United-States,<=50K +23,Local-gov,314819,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,123572,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +19,Private,170800,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +42,Private,332401,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,193038,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K +41,Private,351161,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1848,45,United-States,>50K +45,Federal-gov,106910,HS-grad,9,Never-married,Transport-moving,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +67,?,163726,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,49,United-States,<=50K +36,Self-emp-not-inc,609935,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,48,?,<=50K +52,State-gov,314627,Masters,14,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,Private,115945,Doctorate,16,Never-married,Adm-clerical,Own-child,White,Male,0,0,18,United-States,<=50K +83,Self-emp-inc,272248,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +17,Private,167878,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,176972,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,31095,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,Private,130834,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,207415,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K +51,Local-gov,264457,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +51,Private,340588,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,54,Mexico,<=50K +82,?,42435,10th,6,Widowed,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +28,Private,107411,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +53,Private,290640,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Germany,>50K +29,Private,106179,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,Canada,<=50K +19,Private,247679,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +30,Private,171598,Bachelors,13,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +23,Private,234460,7th-8th,4,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K +66,Private,196674,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K +27,Private,182540,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,172694,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,29571,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +27,Private,130438,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,213421,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Local-gov,189956,Bachelors,13,Married-civ-spouse,Protective-serv,Wife,Black,Female,15024,0,40,United-States,>50K +64,Private,133144,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +62,Self-emp-inc,24050,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +26,Private,276967,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,184857,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,145160,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,192251,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,190650,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +52,Local-gov,255927,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +46,Private,99086,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +30,Private,216811,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +52,Private,110563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,120471,HS-grad,9,Never-married,Transport-moving,Not-in-family,Other,Male,0,0,40,United-States,<=50K +17,Private,183066,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +46,State-gov,298786,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +45,Private,297884,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +21,Private,253612,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,1055,0,32,United-States,<=50K +18,Self-emp-not-inc,207438,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,148522,11th,7,Never-married,Other-service,Own-child,White,Male,0,1721,15,United-States,<=50K +90,Private,139660,Some-college,10,Divorced,Sales,Unmarried,Black,Female,0,0,37,United-States,<=50K +23,Private,165474,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,120277,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Self-emp-not-inc,67929,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +69,Private,229418,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Federal-gov,41356,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Female,0,0,32,United-States,<=50K +28,Private,185127,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,54,United-States,<=50K +37,Private,109133,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K +57,Private,148315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +30,Local-gov,145692,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Male,0,1974,40,United-States,<=50K +48,Private,210424,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,914,0,40,United-States,<=50K +73,Private,198526,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,32,United-States,<=50K +25,Private,521400,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +33,Private,100882,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,124818,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,190836,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +57,Private,71367,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,303032,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,?,98989,9th,5,Divorced,?,Own-child,Amer-Indian-Eskimo,Male,0,0,38,United-States,<=50K +40,State-gov,390781,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,48,United-States,<=50K +32,Private,54782,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +35,?,202683,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,213081,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +27,Self-emp-inc,89718,Some-college,10,Separated,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,225106,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,18,United-States,<=50K +29,Private,253262,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,78181,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +20,Private,158206,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +69,?,337720,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +18,State-gov,391257,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,134756,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,183404,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,8,United-States,<=50K +46,Private,192793,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,203943,12th,8,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,?,<=50K +53,Private,89400,Some-college,10,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,237868,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,139187,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,126701,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,172175,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +45,Private,164210,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Local-gov,608184,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +17,?,198797,11th,7,Never-married,?,Own-child,White,Male,0,0,20,Peru,<=50K +50,Local-gov,425804,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +22,?,117618,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,Private,119164,Bachelors,13,Never-married,Other-service,Unmarried,White,Male,0,0,40,?,<=50K +40,Self-emp-inc,92036,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,77146,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,191803,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,54932,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,251694,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +22,Private,268145,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,104842,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,50,Haiti,<=50K +60,Local-gov,227332,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,212512,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,50,United-States,<=50K +53,Private,133436,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,State-gov,309055,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,59202,HS-grad,9,Never-married,Priv-house-serv,Other-relative,White,Female,0,0,10,United-States,<=50K +36,Private,32709,Some-college,10,Divorced,Sales,Not-in-family,White,Female,3325,0,45,United-States,<=50K +67,Self-emp-inc,73559,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,50,United-States,>50K +31,Private,117963,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K +26,Private,169121,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +18,Private,308889,11th,7,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +45,Local-gov,144940,Masters,14,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +64,Private,102041,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,335998,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +53,Private,29557,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,210313,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,28,Guatemala,<=50K +32,Private,190784,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,107597,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,14084,0,30,United-States,>50K +59,Private,97168,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +44,Private,155930,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +61,Self-emp-not-inc,181033,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,?,344572,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +46,State-gov,170165,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +32,Private,178835,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,118230,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +48,Private,149640,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,30271,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +21,Private,154165,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,341797,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +44,Local-gov,145246,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +51,Private,280093,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +42,Private,373469,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,199172,Bachelors,13,Never-married,Protective-serv,Own-child,White,Female,0,0,40,United-States,<=50K +70,Self-emp-not-inc,177199,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,3,United-States,<=50K +33,Private,258932,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,139960,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,10605,0,60,United-States,>50K +39,Private,258037,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,?,<=50K +32,Private,116677,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,59496,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,34218,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,200246,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +64,Federal-gov,316246,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Local-gov,239161,Some-college,10,Separated,Protective-serv,Own-child,Other,Male,0,0,52,United-States,<=50K +49,Self-emp-not-inc,173411,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,259226,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,48,United-States,<=50K +35,Local-gov,195516,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,200598,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1740,45,United-States,<=50K +42,State-gov,160369,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +21,?,415913,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,147253,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,199674,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,State-gov,198493,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +23,Private,377121,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +21,Private,400635,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,?,<=50K +45,Private,513660,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,?,175069,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,82552,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,594,0,50,United-States,<=50K +28,?,78388,10th,6,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K +23,Private,171705,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +39,Self-emp-not-inc,315640,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,60,Iran,<=50K +45,Private,266860,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +68,Private,192829,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +60,Federal-gov,237317,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,4934,0,40,United-States,>50K +38,State-gov,110426,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,40,?,>50K +41,Private,327606,12th,8,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,34845,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,58582,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,155659,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Local-gov,210029,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,381618,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +55,Self-emp-inc,298449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,50,United-States,>50K +35,State-gov,226789,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,<=50K +52,Private,210736,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K +46,State-gov,111163,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +72,?,76860,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,1,United-States,<=50K +18,Private,92112,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +62,Local-gov,136787,HS-grad,9,Divorced,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,29810,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,30,United-States,<=50K +40,Private,360884,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,40,United-States,>50K +26,Private,266022,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,142874,Assoc-acdm,12,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,36,United-States,<=50K +25,Self-emp-not-inc,72338,HS-grad,9,Never-married,Sales,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +46,?,177305,Assoc-voc,11,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,>50K +39,Private,165106,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,1564,50,?,>50K +41,Private,424478,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,>50K +59,Private,189721,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,>50K +37,Private,34180,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,183279,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +33,Private,35309,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,40,?,<=50K +23,Private,259109,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,Puerto-Rico,<=50K +67,Self-emp-not-inc,148690,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Male,18481,0,2,United-States,>50K +60,Private,125019,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,48,United-States,>50K +39,Self-emp-inc,172538,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +32,Self-emp-not-inc,410615,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,60,United-States,>50K +26,Private,322547,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +39,Private,300760,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +28,Private,232782,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,174645,11th,7,Divorced,Craft-repair,Unmarried,White,Female,0,0,52,United-States,<=50K +43,Private,164693,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,206861,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,25,United-States,<=50K +32,Private,195602,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K +33,Self-emp-not-inc,422960,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +45,Private,116360,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +48,Private,278530,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Local-gov,188291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +50,Self-emp-not-inc,163948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +63,Private,64544,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K +55,Private,101468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +22,Private,107882,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K +32,Self-emp-not-inc,182691,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,60,United-States,<=50K +27,Private,203776,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +22,Private,201268,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +44,Private,29762,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,68,United-States,<=50K +34,Private,186346,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,196690,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,99604,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,24,United-States,>50K +45,Private,194772,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +17,Private,95446,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +53,Self-emp-not-inc,257126,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +58,Private,194733,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,98361,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +44,Local-gov,124924,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +40,Self-emp-not-inc,111971,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +58,Self-emp-not-inc,130714,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,208358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +62,Private,147627,9th,5,Never-married,Priv-house-serv,Not-in-family,Black,Female,1055,0,22,United-States,<=50K +31,Private,149507,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,38,United-States,<=50K +31,Private,164870,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,236861,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,1876,45,United-States,<=50K +37,Private,220314,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +38,Local-gov,329980,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1876,40,Canada,<=50K +58,Local-gov,318537,12th,8,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,183284,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,334368,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,4650,0,40,United-States,<=50K +46,Private,109227,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,70,United-States,<=50K +34,Private,118551,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Self-emp-inc,163057,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,99,United-States,<=50K +61,Self-emp-inc,253101,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +30,Self-emp-not-inc,20098,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,196227,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,175374,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,234037,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,58,United-States,<=50K +47,Private,341762,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,33,United-States,<=50K +20,Private,174714,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,222835,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +46,Private,251786,1st-4th,2,Separated,Other-service,Not-in-family,White,Female,0,0,40,Mexico,<=50K +20,Private,164219,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +33,Private,251120,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +30,Private,236993,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Local-gov,105896,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,211527,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,60,United-States,<=50K +34,Private,317809,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,?,>50K +25,Private,185287,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,31014,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +44,Private,151985,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,24,United-States,>50K +26,Private,89389,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,406051,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,>50K +48,Self-emp-not-inc,171986,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +26,Private,167848,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Local-gov,213019,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,211424,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,168981,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,55,United-States,<=50K +24,Private,122348,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,139753,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Local-gov,176178,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K +41,Private,145220,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,40,Columbia,<=50K +38,Local-gov,188612,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,445728,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,318002,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,235722,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,?,367984,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,212705,Masters,14,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +49,Private,411273,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,103986,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +44,Private,203761,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +58,?,266792,Some-college,10,Married-civ-spouse,?,Husband,White,Male,99999,0,40,United-States,>50K +22,Private,116800,Assoc-acdm,12,Never-married,Protective-serv,Own-child,White,Male,0,0,60,United-States,<=50K +21,State-gov,99199,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,10,United-States,<=50K +50,Private,162327,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +44,Local-gov,100479,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +36,Local-gov,32587,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Federal-gov,321990,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,48,Cuba,>50K +52,Private,108914,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,61343,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,90,United-States,<=50K +48,Local-gov,81154,Assoc-voc,11,Never-married,Protective-serv,Unmarried,White,Male,0,0,48,United-States,<=50K +23,Private,162945,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2377,40,United-States,<=50K +37,Private,225504,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Self-emp-inc,191712,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K +44,Private,176063,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +36,Private,198587,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,State-gov,34965,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K +31,Self-emp-inc,467108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +23,?,263899,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,12,England,<=50K +29,Private,204984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,217568,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,48343,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,193130,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1887,40,United-States,>50K +31,Private,253354,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +19,?,258026,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,16,United-States,<=50K +64,?,211360,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +55,Private,191367,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,148995,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +20,Private,123901,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +50,Local-gov,117496,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,30,United-States,>50K +45,Self-emp-inc,32356,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,51,United-States,<=50K +17,Private,206506,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,10,El-Salvador,<=50K +38,Private,218729,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +43,Private,52498,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +22,Private,136767,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +63,Private,219540,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,114059,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,247337,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,State-gov,310969,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +41,Private,171546,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +41,Private,217455,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,410489,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Private,146391,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +46,Local-gov,165484,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +23,Private,184271,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +46,Self-emp-not-inc,231347,Some-college,10,Separated,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +53,Private,95469,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K +47,Private,244025,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Male,0,0,56,Puerto-Rico,<=50K +46,Federal-gov,46537,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,205730,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +29,Private,383745,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,30,United-States,>50K +32,Private,328199,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +90,Private,84553,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,221072,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,?,<=50K +23,Private,123983,Assoc-voc,11,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +76,?,191024,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +23,Private,167868,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,225879,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,0,30,Mexico,>50K +81,Self-emp-inc,247232,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,2936,0,28,United-States,<=50K +17,Private,143791,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K +56,Private,177271,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +58,Federal-gov,129786,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,31339,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +25,Private,236267,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,130620,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,>50K +32,Private,208180,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,24,United-States,>50K +25,Private,292058,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +29,Federal-gov,142712,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,119665,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +41,Private,116825,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +48,State-gov,201177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +29,Private,118337,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +27,?,173800,Masters,14,Never-married,?,Unmarried,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K +55,Private,289257,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,190912,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,1651,40,Vietnam,<=50K +45,Private,140581,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Private,174102,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K +22,Private,316509,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +80,Local-gov,20101,HS-grad,9,Widowed,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,32,United-States,<=50K +30,Private,187279,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,<=50K +20,Private,259496,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +29,Self-emp-not-inc,181466,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +56,Private,178202,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,188976,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,203027,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +38,State-gov,142022,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +31,Private,119033,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,216181,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +47,Private,178341,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,>50K +25,Local-gov,244408,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +31,Private,198953,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +28,Private,173110,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,66326,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +30,Local-gov,181091,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-inc,135500,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,40,United-States,>50K +27,Private,133929,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,?,<=50K +26,Private,86483,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,167787,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,208577,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,2258,50,United-States,<=50K +43,Private,216697,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Other,Male,0,0,32,United-States,<=50K +32,Local-gov,118457,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +20,Private,298635,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K +21,Local-gov,212780,12th,8,Never-married,Handlers-cleaners,Unmarried,Black,Female,0,0,20,United-States,<=50K +32,Private,159187,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,237995,Assoc-voc,11,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,48,United-States,<=50K +45,Private,160724,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +37,Self-emp-inc,183800,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +54,?,185936,9th,5,Divorced,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +24,Private,161198,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,<=50K +28,?,113635,11th,7,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +23,Private,214542,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +54,?,172991,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,203761,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +38,Private,161141,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +71,Private,180117,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,317396,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,237868,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,5,United-States,<=50K +30,Private,323069,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,181091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,309122,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,105936,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,13550,0,40,United-States,>50K +43,Private,40024,11th,7,Never-married,Transport-moving,Not-in-family,White,Male,0,0,42,United-States,<=50K +36,Federal-gov,192443,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,13550,0,40,United-States,>50K +24,State-gov,184216,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +29,?,256211,1st-4th,2,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +55,Private,205422,10th,6,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +51,Private,22211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,60,United-States,>50K +43,Local-gov,196308,HS-grad,9,Divorced,Exec-managerial,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +28,Private,389713,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,82566,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,199058,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,160440,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +47,Private,76034,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,57,United-States,>50K +38,Private,188503,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,6497,0,35,United-States,<=50K +60,Self-emp-not-inc,92845,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,29083,HS-grad,9,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,0,25,United-States,<=50K +22,Private,234474,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +55,Local-gov,107308,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,111891,Some-college,10,Separated,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K +53,Self-emp-not-inc,145419,1st-4th,2,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,67,Italy,>50K +44,Local-gov,193425,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,4386,0,40,United-States,>50K +28,Federal-gov,188278,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Local-gov,303485,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Local-gov,67187,HS-grad,9,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +43,State-gov,114508,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,204172,Bachelors,13,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +27,Local-gov,162973,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +64,Self-emp-not-inc,192695,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,Canada,<=50K +41,Local-gov,89172,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +28,Private,163320,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,128230,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +27,Private,246440,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,50567,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +20,Private,117476,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,315834,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +28,Local-gov,214881,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,195516,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,218653,Bachelors,13,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,87205,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,20,United-States,>50K +40,Private,164647,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,38,United-States,<=50K +19,Private,129151,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,319697,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,193374,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,167864,Assoc-voc,11,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,197932,Some-college,10,Separated,Priv-house-serv,Not-in-family,White,Female,0,0,30,Guatemala,<=50K +51,Private,102904,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K +44,Private,216907,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +35,Local-gov,331395,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K +40,Private,171424,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,35406,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +25,Private,238964,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +33,Private,213002,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1408,36,United-States,<=50K +32,Private,27882,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Female,0,2205,40,Holand-Netherlands,<=50K +22,Private,340543,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,70240,Some-college,10,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +18,Self-emp-not-inc,87169,HS-grad,9,Never-married,Farming-fishing,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +43,Private,253759,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,45,United-States,<=50K +46,Private,194431,HS-grad,9,Never-married,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +63,Private,137843,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,48,United-States,>50K +40,?,170649,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +59,Private,182460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +40,Local-gov,26929,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,399022,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +64,?,50171,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +36,Private,218490,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,164423,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,124436,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +18,Private,60981,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +17,Private,70868,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K +36,Private,150601,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,<=50K +53,Private,228500,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +36,State-gov,76767,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,39,United-States,<=50K +20,Private,218178,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,615367,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,150324,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,51264,11th,7,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,197642,Some-college,10,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,229895,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,167415,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +51,Private,166934,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +38,Private,305597,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,301591,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +47,Federal-gov,229646,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Female,0,0,40,Puerto-Rico,<=50K +28,Self-emp-not-inc,51461,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,206600,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,24,Nicaragua,<=50K +25,Private,176836,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Private,204447,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +50,Private,33304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,174051,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +27,Private,38918,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1876,75,United-States,<=50K +32,Private,170017,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,98466,10th,6,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K +19,Private,188864,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K +53,Self-emp-inc,137815,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +21,Private,43475,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,557236,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Private,32779,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,419,12,United-States,<=50K +31,Private,161765,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2051,57,United-States,<=50K +32,Private,207668,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,2444,50,United-States,>50K +33,Private,171215,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,?,52590,HS-grad,9,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,183751,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +30,Private,149507,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,42,United-States,<=50K +49,Private,98092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,123714,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,State-gov,190385,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +51,Private,334273,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,343440,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,208302,HS-grad,9,Divorced,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +23,Local-gov,280164,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,32,United-States,<=50K +23,Self-emp-not-inc,174714,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +36,Private,184655,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +19,Private,140459,11th,7,Never-married,Craft-repair,Other-relative,White,Male,0,0,25,United-States,<=50K +53,Self-emp-not-inc,108815,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,152652,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +69,Private,269499,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,8,United-States,<=50K +46,Local-gov,33373,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,243674,HS-grad,9,Separated,Tech-support,Not-in-family,White,Male,0,0,46,United-States,<=50K +40,Private,225432,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,215839,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,?,<=50K +29,Local-gov,195520,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,70092,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +22,Private,189888,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,64307,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,94235,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +35,Private,62333,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,260997,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +17,Private,146268,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +39,Private,147258,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,207948,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,180607,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +56,Local-gov,104996,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +80,Self-emp-not-inc,562336,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +38,Self-emp-not-inc,334366,Some-college,10,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,15,United-States,<=50K +52,State-gov,142757,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +26,Local-gov,220656,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,38,England,<=50K +43,Private,96483,HS-grad,9,Divorced,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,South,<=50K +45,Private,51744,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K +41,Self-emp-inc,114967,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +30,Private,393965,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +24,Private,41838,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +43,Local-gov,143046,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +44,Private,209174,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +54,Private,183248,HS-grad,9,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,102942,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,2258,40,United-States,>50K +33,Self-emp-not-inc,427474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +18,Private,338632,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +38,Private,89559,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,<=50K +41,Self-emp-not-inc,32533,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +22,?,255969,12th,8,Never-married,?,Not-in-family,White,Male,0,0,48,United-States,<=50K +66,Self-emp-inc,112376,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +70,?,346053,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,147653,10th,6,Married-civ-spouse,Craft-repair,Wife,White,Female,0,1977,35,?,>50K +60,Self-emp-not-inc,44915,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,10,United-States,<=50K +24,Local-gov,111450,10th,6,Never-married,Craft-repair,Unmarried,Black,Male,0,0,65,Haiti,<=50K +61,Private,171429,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +35,Local-gov,190964,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,109005,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,404453,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,280169,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +39,Self-emp-not-inc,163204,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,192256,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +52,Private,181755,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,183105,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,44,Cuba,<=50K +37,Private,335168,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,Local-gov,86643,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,180262,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,127865,Masters,14,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,146042,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,3103,0,60,United-States,>50K +49,Self-emp-not-inc,102110,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,>50K +38,Private,152237,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,?,>50K +22,Private,202745,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,United-States,<=50K +40,Federal-gov,199303,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,266467,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Federal-gov,345259,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,United-States,<=50K +24,Private,204935,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,56,United-States,<=50K +58,Federal-gov,244830,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,4787,0,40,United-States,>50K +24,Private,190457,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,180138,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,Private,166585,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,29962,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,191129,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,378707,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,116358,HS-grad,9,Never-married,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,27828,0,48,United-States,>50K +48,Private,240629,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +40,Private,233320,7th-8th,4,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +50,Self-emp-inc,302708,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,50,Japan,>50K +57,Private,29375,HS-grad,9,Separated,Sales,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +36,Local-gov,137314,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +41,Private,140886,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,226968,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,151793,7th-8th,4,Widowed,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K +34,Self-emp-not-inc,56460,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,2179,12,United-States,<=50K +23,Private,72887,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,1,Vietnam,<=50K +35,Private,261646,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,<=50K +32,Private,178615,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +33,Private,295589,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K +32,Self-emp-inc,377836,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,56510,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,337696,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,183765,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,107846,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Local-gov,22641,HS-grad,9,Never-married,Protective-serv,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Private,204590,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K +29,Private,114801,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,190591,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +33,State-gov,220066,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,48,United-States,>50K +22,?,228480,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,128378,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,157595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Local-gov,152171,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,10,United-States,<=50K +63,Private,339755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,?,>50K +49,Private,240841,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +58,Private,94345,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,289116,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +59,Private,176647,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-not-inc,79627,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Local-gov,210781,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +17,?,161981,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,493443,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,86459,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +64,Private,312242,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,3,United-States,<=50K +34,Private,185408,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +63,Private,101077,Assoc-acdm,12,Married-spouse-absent,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +51,Private,147200,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,State-gov,166327,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,35,United-States,<=50K +55,Private,178644,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,126675,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,?,<=50K +30,Private,158420,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,25,United-States,<=50K +47,?,83046,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K +29,Private,46609,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,?,<=50K +17,?,170320,11th,7,Never-married,?,Own-child,White,Female,0,0,8,United-States,<=50K +32,Self-emp-not-inc,37232,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +55,Private,141877,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,81654,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,56,United-States,>50K +50,Private,177705,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,124792,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,45,United-States,>50K +32,Self-emp-not-inc,129497,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +60,Private,114413,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +53,Private,189511,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,111625,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Male,8614,0,40,United-States,>50K +45,Private,246431,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Private,147654,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,443546,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,281751,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +28,Private,263128,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +26,Private,292692,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +47,Self-emp-inc,96798,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +34,Private,430554,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Private,317078,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,108557,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,99999,0,40,United-States,>50K +32,Private,207400,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,187089,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,United-States,>50K +46,Local-gov,398986,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,52,United-States,>50K +38,Private,238980,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +49,?,407495,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,70,United-States,<=50K +35,Private,183800,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +61,?,226989,HS-grad,9,Divorced,?,Not-in-family,White,Male,4865,0,40,United-States,<=50K +45,Private,287190,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,35,United-States,<=50K +31,Private,111363,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,260938,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,Private,183594,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +64,?,49194,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +20,?,117618,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,172496,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,389713,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,174413,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,State-gov,189843,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,198546,Masters,14,Widowed,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +21,Private,82497,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,193090,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +79,Private,172220,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,2964,0,30,United-States,<=50K +55,Private,208451,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,?,234277,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +60,Private,163729,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,2597,0,40,United-States,<=50K +37,Private,434097,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Private,192053,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,1590,40,United-States,<=50K +20,State-gov,178628,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,96827,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Canada,<=50K +34,Private,154667,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,160246,Some-college,10,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +24,Self-emp-not-inc,166036,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,186813,HS-grad,9,Never-married,Protective-serv,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +29,Private,162312,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,United-States,<=50K +58,Private,183893,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,?,270228,Assoc-acdm,12,Married-civ-spouse,?,Husband,Black,Male,7688,0,40,United-States,>50K +40,Private,111829,Masters,14,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Federal-gov,175669,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +25,State-gov,104097,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Local-gov,117618,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,24,United-States,<=50K +34,Self-emp-inc,202450,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,109570,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +60,Private,101096,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,65,United-States,>50K +39,Private,236391,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +21,Private,136975,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,167523,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2179,45,United-States,<=50K +33,Private,240979,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,248612,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +39,Private,151023,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,114,0,45,United-States,<=50K +29,Private,236436,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K +29,?,153167,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +52,Private,61735,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,243165,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,>50K +24,Private,388885,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +77,Self-emp-inc,84979,Doctorate,16,Married-civ-spouse,Farming-fishing,Husband,White,Male,20051,0,40,United-States,>50K +34,Self-emp-not-inc,87209,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +53,Self-emp-not-inc,168539,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +31,Private,179013,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Private,196643,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +50,Self-emp-not-inc,68898,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K +32,Private,156464,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,35884,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,182714,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +77,Private,344425,9th,5,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,10,United-States,<=50K +37,Self-emp-not-inc,177277,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,70767,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,520078,Assoc-acdm,12,Divorced,Sales,Unmarried,Black,Male,0,0,60,United-States,<=50K +53,Local-gov,321770,HS-grad,9,Married-spouse-absent,Transport-moving,Other-relative,White,Female,0,0,35,United-States,<=50K +32,Private,158416,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,312667,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,208656,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,594,0,20,United-States,<=50K +33,Private,31481,Bachelors,13,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +31,Private,259531,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,186239,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,162954,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +27,Private,249315,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +21,Private,308237,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,103064,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,185847,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,54,United-States,<=50K +31,Private,168521,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,198170,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +21,Private,353628,10th,6,Separated,Sales,Unmarried,Black,Female,0,0,38,United-States,<=50K +38,?,273285,11th,7,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +31,Private,272069,Assoc-voc,11,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,22328,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +46,Private,309212,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K +25,Self-emp-inc,148888,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Local-gov,324637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +53,Self-emp-inc,55139,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,?,212206,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,1887,48,United-States,>50K +29,Private,119004,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2179,40,United-States,<=50K +45,Private,252079,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +70,Private,315868,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,392325,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +40,State-gov,174283,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +17,Private,126832,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +18,Private,126071,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,265706,Masters,14,Never-married,Sales,Unmarried,White,Male,0,0,60,United-States,>50K +41,Private,282964,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,328518,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,State-gov,283499,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,286675,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +56,Private,136472,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +36,Private,132879,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K +26,Private,314798,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,143943,Bachelors,13,Widowed,Tech-support,Unmarried,White,Female,0,0,7,United-States,<=50K +35,Private,134367,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Local-gov,366796,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,195573,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,33616,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +31,Private,164190,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,380281,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,25,Columbia,<=50K +58,Self-emp-inc,190763,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,209535,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +54,Private,156003,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,55699,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,40,United-States,<=50K +28,Private,183151,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7688,0,40,United-States,>50K +40,Private,198790,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +33,Self-emp-not-inc,272359,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,80,United-States,>50K +27,Private,236481,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,10,India,<=50K +55,Private,143266,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,25,United-States,<=50K +53,Private,192386,HS-grad,9,Separated,Transport-moving,Unmarried,White,Male,0,0,45,United-States,<=50K +23,Private,99543,12th,8,Never-married,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K +66,Private,169435,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,16,United-States,<=50K +34,Self-emp-not-inc,34572,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +39,Private,119272,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,211601,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +26,Private,154785,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,Other,Female,0,0,35,United-States,<=50K +21,Private,213041,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K +59,Private,229939,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,175331,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,226443,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +22,Private,46561,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,161311,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,30,United-States,<=50K +50,Private,98215,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,118363,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,2206,5,United-States,<=50K +59,Local-gov,181242,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,356238,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,80,United-States,>50K +56,Self-emp-not-inc,39380,Some-college,10,Married-spouse-absent,Farming-fishing,Not-in-family,White,Female,27828,0,20,United-States,>50K +28,Private,315287,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,?,<=50K +34,Private,269723,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,2977,0,50,United-States,<=50K +63,Private,34098,10th,6,Widowed,Farming-fishing,Unmarried,White,Female,0,0,56,United-States,<=50K +48,Private,50880,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +41,Federal-gov,356934,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +26,Private,276309,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,20,United-States,<=50K +47,Private,175925,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,2179,52,United-States,<=50K +29,Self-emp-not-inc,164607,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,224462,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,92863,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,179565,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,37,United-States,<=50K +59,Self-emp-not-inc,31137,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +19,Private,199495,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,175262,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +37,Private,220585,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Local-gov,231793,Doctorate,16,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +34,Federal-gov,191342,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,38,United-States,<=50K +30,Private,186420,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Private,328242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K +56,Private,279340,11th,7,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +19,Private,174478,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,151771,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,145636,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,43,United-States,>50K +21,Private,120326,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,246439,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,144133,Bachelors,13,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,50,United-States,<=50K +44,Local-gov,145522,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,312055,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,235847,Some-college,10,Never-married,Exec-managerial,Other-relative,White,Female,0,0,50,United-States,<=50K +37,Private,187748,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,396482,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +49,Private,261688,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,60,United-States,<=50K +20,Private,39477,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +37,Private,143058,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,216867,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,Mexico,<=50K +44,Private,230592,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,35,United-States,<=50K +30,Local-gov,40338,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,115457,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,374983,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,285419,12th,8,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,?,385901,Some-college,10,Never-married,?,Own-child,White,Male,0,0,22,United-States,<=50K +45,State-gov,187581,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,299036,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +42,Private,68729,Some-college,10,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +27,Private,333990,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,117767,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +43,Private,184378,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,232591,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,143851,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,89622,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,80,United-States,>50K +34,Private,202498,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +72,Private,268861,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,99,?,<=50K +54,Private,343242,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +30,Private,460408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +63,Private,205246,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,230329,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,197871,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +72,?,201375,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,194290,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,191814,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +41,Private,95168,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,?,137876,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,386136,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +71,?,108390,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3432,0,20,United-States,<=50K +41,Private,152529,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +35,Private,214891,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Dominican-Republic,<=50K +18,Private,133654,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,147548,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +57,Private,73051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,60166,1st-4th,2,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,0,0,65,United-States,<=50K +25,Self-emp-inc,454934,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +64,?,338355,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,15,United-States,<=50K +35,Self-emp-not-inc,185621,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,101500,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,36397,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +18,Private,276540,12th,8,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +21,Private,293968,Some-college,10,Married-spouse-absent,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +43,?,35523,Assoc-acdm,12,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +32,Local-gov,186993,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,232132,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +48,Private,176917,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +40,Private,105936,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,105821,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +22,?,34506,Some-college,10,Separated,?,Unmarried,White,Female,0,0,25,United-States,<=50K +42,Private,178074,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,?,116961,7th-8th,4,Widowed,?,Unmarried,White,Female,0,0,20,United-States,<=50K +34,Private,191930,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,130807,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,94100,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +65,Self-emp-not-inc,144822,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +61,Self-emp-inc,102191,Masters,14,Widowed,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,<=50K +18,Private,90934,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,28,United-States,<=50K +49,?,296892,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +48,Private,173243,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +26,Private,258768,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,2174,0,75,United-States,<=50K +30,Private,189759,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +68,Self-emp-not-inc,69249,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +23,Private,133061,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,<=50K +65,Self-emp-not-inc,175202,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K +32,Private,27051,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,<=50K +44,Private,60414,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +48,Local-gov,317360,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +24,Private,258298,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +58,Private,174040,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,177566,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,50,Germany,<=50K +54,Private,162238,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +35,Private,87556,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +35,Private,144322,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +24,Private,190015,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,183173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +38,Self-emp-not-inc,151322,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Local-gov,47392,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,107125,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Private,265295,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,189219,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,16,United-States,<=50K +56,Private,147989,Some-college,10,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,185732,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,153516,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,?,191910,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,216145,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,202872,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,12,United-States,<=50K +62,Self-emp-not-inc,39630,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +24,?,114292,9th,5,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +26,Local-gov,206721,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,358585,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +33,Private,377283,Bachelors,13,Separated,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +65,?,76043,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,1,United-States,>50K +65,Without-pay,172949,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2414,0,20,United-States,<=50K +46,Private,110171,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +43,Local-gov,223861,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,163455,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +35,Private,183892,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,47022,HS-grad,9,Widowed,Handlers-cleaners,Other-relative,White,Female,0,0,48,United-States,<=50K +55,Federal-gov,145401,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +45,Private,387074,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,105363,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4508,0,40,United-States,<=50K +59,Federal-gov,195467,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Local-gov,170217,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,156807,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,10,United-States,<=50K +26,Private,255193,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,40,United-States,<=50K +38,Private,273640,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,191177,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,184787,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +37,State-gov,239409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +63,Self-emp-not-inc,404547,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +27,State-gov,23740,HS-grad,9,Never-married,Transport-moving,Not-in-family,Amer-Indian-Eskimo,Male,0,0,38,United-States,>50K +20,Private,382153,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +26,Private,164488,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +21,?,228424,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,168539,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,189530,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,89419,Assoc-voc,11,Divorced,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,Columbia,<=50K +35,Private,224512,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +21,?,314645,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,43,United-States,<=50K +65,Private,85787,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Local-gov,279881,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,194287,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,1602,35,United-States,<=50K +24,Private,141040,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Private,222294,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +70,?,410980,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K +52,Private,38795,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +64,Private,182979,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,223277,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,67065,Assoc-voc,11,Never-married,Priv-house-serv,Not-in-family,White,Male,594,0,25,United-States,<=50K +47,Federal-gov,160647,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,45796,12th,8,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,110597,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +33,Private,166961,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +52,Private,318975,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Cuba,<=50K +49,Private,305657,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,120857,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,18,United-States,<=50K +62,Self-emp-not-inc,158712,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,6,United-States,<=50K +44,Private,304530,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +28,Local-gov,327533,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K +68,Local-gov,233954,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,>50K +40,Federal-gov,26880,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,70754,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,184665,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,245372,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,15,United-States,<=50K +62,Private,252668,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +37,Private,86551,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,Private,241998,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4787,0,40,United-States,>50K +44,Private,106900,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K +41,Private,204235,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,127772,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,117217,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +48,Federal-gov,215389,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +21,Private,198050,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +39,Private,173476,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +38,Private,217349,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K +44,Private,377018,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +56,Private,99894,10th,6,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,30,Japan,>50K +25,Private,170786,9th,5,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Local-gov,250585,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +47,Private,198769,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +26,Private,306513,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,178623,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,14084,0,60,United-States,>50K +23,Private,109307,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,106982,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +55,Self-emp-not-inc,396878,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,25,United-States,<=50K +23,Private,344278,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K +45,Private,203653,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7298,0,40,United-States,>50K +42,Local-gov,227890,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,<=50K +29,Private,107812,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,15,United-States,<=50K +48,Private,185143,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,143068,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +52,Self-emp-inc,114758,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +46,Private,266337,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,321787,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +27,State-gov,21306,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +18,Private,271935,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,148952,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +42,Private,196626,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,?,108082,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,199439,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +20,?,304076,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +52,Self-emp-inc,81436,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-inc,352971,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +53,Private,375134,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +36,Private,206521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +27,Private,330466,Bachelors,13,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +52,Private,208302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +60,Self-emp-not-inc,135285,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,171615,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +64,Self-emp-not-inc,149698,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,71351,1st-4th,2,Never-married,Other-service,Other-relative,White,Male,0,0,25,El-Salvador,<=50K +63,Private,84737,7th-8th,4,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +54,Local-gov,375134,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,207103,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,199314,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Poland,<=50K +63,Self-emp-not-inc,289741,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,41310,0,50,United-States,<=50K +37,Private,240837,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +22,Private,283499,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +54,Private,97778,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,21698,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Local-gov,232618,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,175820,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +25,Local-gov,63996,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Local-gov,182985,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,380127,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,111483,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +18,?,31008,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,96346,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,57,United-States,<=50K +22,Private,317528,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,34,United-States,<=50K +36,State-gov,223020,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +33,?,173998,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,1485,38,United-States,<=50K +39,Private,115076,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,133969,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,United-States,>50K +41,Private,173858,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +35,Private,193241,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +40,Self-emp-inc,50644,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Female,1506,0,40,United-States,<=50K +30,Private,178841,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,177017,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,1504,37,United-States,<=50K +25,Private,253267,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1902,36,United-States,>50K +37,Private,202027,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,7688,0,50,United-States,>50K +53,Self-emp-not-inc,321865,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +34,Self-emp-not-inc,321709,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +22,Private,166371,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,?,<=50K +18,Private,210574,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +52,?,92968,Masters,14,Married-civ-spouse,?,Wife,White,Female,15024,0,40,United-States,>50K +45,Private,474617,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,5455,0,40,United-States,<=50K +19,Private,264390,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,2001,40,United-States,<=50K +33,Self-emp-inc,144949,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +45,State-gov,90803,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,126701,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +40,Private,178417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +41,Self-emp-not-inc,197176,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,75,United-States,>50K +25,Private,182227,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1579,40,United-States,<=50K +22,Private,117606,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,32,United-States,<=50K +52,Private,349502,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,45,United-States,<=50K +45,Federal-gov,81487,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Puerto-Rico,>50K +32,State-gov,169583,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +26,Private,485117,Bachelors,13,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,35603,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,175390,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,184986,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Local-gov,174395,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,187711,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,189878,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,224073,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +48,Private,159726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +40,?,65545,Masters,14,Divorced,?,Own-child,White,Female,0,0,55,United-States,<=50K +26,Private,456618,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,2597,0,40,United-States,<=50K +35,Private,202397,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +21,Private,206681,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +54,Private,222020,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,70,United-States,<=50K +40,Private,137304,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +51,Private,141645,Some-college,10,Separated,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,218085,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K +22,Private,52596,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K +20,Private,197997,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,191444,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,40767,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,172577,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +36,Private,241998,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +65,State-gov,215908,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,2174,40,United-States,>50K +48,Private,212120,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +37,Private,109133,Masters,14,Separated,Exec-managerial,Not-in-family,White,Male,27828,0,60,Iran,>50K +20,Private,224424,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +41,State-gov,214985,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,147098,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Local-gov,149833,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Federal-gov,253770,Some-college,10,Married-civ-spouse,Transport-moving,Wife,White,Female,7298,0,40,United-States,>50K +80,Private,252466,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K +59,State-gov,132717,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,138944,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,280570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,50,United-States,>50K +56,Self-emp-not-inc,144380,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K +69,Local-gov,660461,HS-grad,9,Widowed,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +49,Private,177211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,197424,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5013,0,40,United-States,<=50K +28,Self-emp-inc,31717,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +49,Private,296849,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +51,Local-gov,193720,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +42,Private,106698,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +66,Private,214469,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,13,United-States,<=50K +44,Private,185798,Assoc-voc,11,Separated,Craft-repair,Other-relative,White,Male,0,0,48,United-States,>50K +26,Private,333108,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,35210,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,140845,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,155,40,United-States,<=50K +25,?,335376,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +17,Private,170455,11th,7,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +52,Private,298215,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +34,?,93834,HS-grad,9,Separated,?,Own-child,White,Female,0,0,8,United-States,<=50K +24,Private,404416,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,206916,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +65,Private,143175,Some-college,10,Widowed,Sales,Other-relative,White,Female,0,0,45,United-States,<=50K +36,Self-emp-not-inc,409189,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,Private,285750,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K +43,Private,235556,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,45,Mexico,<=50K +39,Local-gov,170382,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,England,>50K +48,Private,195437,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +50,Local-gov,191130,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +21,Private,231160,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +36,Private,47310,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,214635,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,36,Haiti,<=50K +50,Federal-gov,65160,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +49,State-gov,423222,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K +34,Private,263307,Bachelors,13,Never-married,Sales,Unmarried,Black,Male,0,0,45,?,<=50K +70,Self-emp-inc,272896,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,232854,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,442035,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,127875,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +40,Private,283724,9th,5,Never-married,Craft-repair,Other-relative,Black,Male,0,0,49,United-States,<=50K +46,Private,403911,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1902,40,United-States,>50K +21,?,228649,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,177027,Bachelors,13,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,7688,0,52,Japan,>50K +47,Private,249935,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,8,United-States,<=50K +19,Private,533147,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,Private,137862,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,16,United-States,<=50K +20,Private,249543,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,16,United-States,<=50K +46,Local-gov,230979,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,4787,0,25,United-States,>50K +41,Private,137126,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +17,Private,147339,10th,6,Never-married,Prof-specialty,Own-child,Other,Female,0,0,15,United-States,<=50K +41,Private,256647,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,111696,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,1974,40,United-States,<=50K +20,?,150084,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +24,Private,285457,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,303867,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +44,Federal-gov,113597,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +26,Self-emp-not-inc,151626,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,26145,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,Private,176189,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Federal-gov,497253,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +41,Private,41090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2002,60,United-States,<=50K +38,Self-emp-not-inc,282461,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +21,Private,225541,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,203488,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +23,?,296613,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K +40,Private,99373,10th,6,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Local-gov,109705,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,144947,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,617898,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,38310,7th-8th,4,Divorced,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +45,Private,248993,HS-grad,9,Married-spouse-absent,Farming-fishing,Other-relative,Black,Male,0,0,40,United-States,<=50K +65,?,149131,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,Italy,>50K +33,Private,69311,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Federal-gov,143766,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,Private,213477,Masters,14,Divorced,Sales,Not-in-family,White,Male,0,0,28,United-States,<=50K +24,Private,275691,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,39,United-States,<=50K +26,Private,59367,Bachelors,13,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +55,Private,35551,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Private,236784,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,8,Cuba,<=50K +43,Local-gov,193755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,315291,Bachelors,13,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +22,Private,290504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,256240,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +69,?,199591,Prof-school,15,Married-civ-spouse,?,Wife,White,Female,0,0,25,?,<=50K +27,Private,178709,Masters,14,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,449354,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,4386,0,45,United-States,>50K +24,Private,187937,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Never-worked,157131,11th,7,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +53,Local-gov,188772,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +26,Private,157617,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Poland,<=50K +60,Private,96099,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,Private,122322,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,60,United-States,<=50K +39,Private,409189,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +45,Private,175925,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +76,Self-emp-not-inc,236878,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +19,Private,216647,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +34,Private,300681,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,Jamaica,>50K +54,Private,327769,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,194723,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Local-gov,31251,7th-8th,4,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,212506,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,23037,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,29054,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,92733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,State-gov,184678,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +37,Federal-gov,32528,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,England,>50K +63,Private,125954,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,40,United-States,<=50K +35,Private,73715,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,209212,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,56,?,<=50K +41,Private,287037,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,64667,HS-grad,9,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,60,Vietnam,<=50K +26,Self-emp-inc,366662,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +36,Local-gov,113337,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K +47,Private,387468,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Scotland,>50K +51,Private,384248,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,<=50K +41,Private,332703,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Other,Female,0,625,40,United-States,<=50K +40,Private,198873,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,30,United-States,>50K +32,Private,317809,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,50,United-States,<=50K +37,Local-gov,160910,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +40,Self-emp-inc,182629,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Private,267652,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,410186,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,365411,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,<=50K +28,Private,205337,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +19,Self-emp-not-inc,100999,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +44,Private,197462,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,199143,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,7430,0,44,United-States,>50K +47,Private,191978,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,50178,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,72442,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +21,Private,248512,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,178140,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,>50K +58,Private,354024,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +35,Private,143589,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +35,Private,219902,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Local-gov,419722,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,3674,0,40,United-States,<=50K +40,Private,154374,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +33,Private,132601,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +38,Self-emp-not-inc,29430,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,30731,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +66,Private,210825,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,251091,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +33,Private,219034,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,35723,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +46,Private,358886,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,248708,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,77937,12th,8,Divorced,?,Not-in-family,White,Female,0,0,40,Canada,<=50K +30,Private,30063,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +29,Private,253799,12th,8,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,England,<=50K +60,?,41553,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,59146,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +42,Self-emp-not-inc,343609,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,50,United-States,<=50K +26,Private,216010,HS-grad,9,Separated,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +37,Private,164526,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,150958,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,48,Guatemala,<=50K +26,Private,244495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,199336,Assoc-voc,11,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +60,Private,151369,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +49,Federal-gov,118701,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,219611,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,184568,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,246891,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +70,Self-emp-inc,243436,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Local-gov,68318,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,55,United-States,<=50K +58,Private,56331,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,190591,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +54,Private,140359,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,3900,40,United-States,<=50K +42,Self-emp-inc,23510,Masters,14,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,2201,60,India,>50K +28,Private,122540,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +65,Private,212562,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +35,Self-emp-not-inc,112497,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,White,Male,0,0,35,Ireland,<=50K +82,Private,147729,5th-6th,3,Widowed,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K +48,Self-emp-not-inc,296066,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +44,Private,148138,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,Japan,>50K +68,Private,50351,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,6360,0,20,United-States,<=50K +42,Private,306496,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,210029,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,2001,37,United-States,<=50K +54,Private,163894,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +22,Private,113936,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,316820,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +17,Private,53367,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +46,Self-emp-not-inc,95256,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +59,Private,127728,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +37,Private,66686,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +70,?,207627,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2228,0,24,United-States,<=50K +57,Self-emp-inc,199768,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,30,United-States,>50K +47,?,186805,HS-grad,9,Married-civ-spouse,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +31,Private,154297,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,24,United-States,<=50K +23,Private,103064,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,93235,12th,8,Never-married,Other-service,Own-child,White,Female,0,1721,25,United-States,<=50K +63,Private,440607,Preschool,1,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,30,Mexico,<=50K +44,Private,212894,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +30,Private,167990,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +23,Private,378460,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,151089,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,60,United-States,>50K +24,Private,153583,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,114639,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +37,Private,344480,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +24,Private,188300,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,105938,HS-grad,9,Divorced,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,217826,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,25,Jamaica,<=50K +20,Private,379525,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +34,State-gov,177331,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,4386,0,40,United-States,>50K +37,Private,127918,Some-college,10,Never-married,Transport-moving,Unmarried,White,Female,0,0,20,Puerto-Rico,<=50K +47,Federal-gov,27067,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,250038,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,45,Mexico,<=50K +36,Self-emp-not-inc,36270,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1977,65,United-States,>50K +60,Private,308608,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +64,Self-emp-inc,213574,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,10,United-States,<=50K +32,Local-gov,235109,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +33,State-gov,374905,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +71,Private,118876,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,14,United-States,<=50K +55,Local-gov,223716,Some-college,10,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +85,Self-emp-not-inc,166027,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +57,Self-emp-not-inc,275943,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,<=50K +39,Private,198654,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,2415,67,India,>50K +25,Private,109080,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,55,United-States,<=50K +58,Private,104333,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +57,Private,195876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,390879,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +19,Private,197748,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,20,United-States,<=50K +40,Private,442045,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,44216,HS-grad,9,Never-married,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +43,Federal-gov,114537,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,?,253370,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,>50K +19,Private,274830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +24,Private,321763,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +34,Private,213226,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,>50K +22,Private,167787,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Self-emp-not-inc,352712,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +55,?,316027,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,<=50K +26,Private,213412,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +80,Private,202483,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +79,Local-gov,146244,Doctorate,16,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,450544,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,81243,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,1876,40,United-States,<=50K +43,Private,195258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,57929,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +35,Private,953588,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +51,Private,99064,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +52,Local-gov,194788,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4787,0,60,United-States,>50K +43,Self-emp-inc,155293,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +68,Private,204082,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +34,State-gov,216283,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +37,Private,355856,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +22,Private,297380,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +32,Private,425622,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +65,Self-emp-not-inc,145628,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,115549,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +37,Private,245482,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +40,Self-emp-inc,142444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Private,134026,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +52,Private,177366,HS-grad,9,Separated,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +35,Private,38245,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +62,Self-emp-not-inc,215944,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +49,Private,115784,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +49,Private,170165,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Female,0,0,55,United-States,<=50K +47,Private,355320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +45,Private,116163,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,405644,1st-4th,2,Married-spouse-absent,Farming-fishing,Other-relative,White,Male,0,0,77,Mexico,<=50K +36,Local-gov,223433,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,>50K +36,Private,41624,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,Mexico,<=50K +44,Private,151089,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +51,State-gov,285747,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,60,United-States,>50K +25,State-gov,108542,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,212318,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +57,Private,173090,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,32,United-States,<=50K +46,Private,26781,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +59,Private,31782,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +28,Private,189241,11th,7,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,164229,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,2597,0,40,United-States,<=50K +35,Private,240467,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,263614,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +29,Private,74500,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Federal-gov,263502,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Federal-gov,47707,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +26,Private,231638,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +55,?,389479,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +36,Private,111128,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,152307,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +23,?,280134,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,609789,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,?,<=50K +41,Private,184466,11th,7,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,<=50K +44,Private,216411,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,Dominican-Republic,<=50K +48,Self-emp-not-inc,324173,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Local-gov,300681,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,7298,0,35,United-States,>50K +43,Local-gov,598995,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,42,United-States,<=50K +57,Federal-gov,140711,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Local-gov,262241,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +28,Private,308136,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,148590,10th,6,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,195635,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,38,United-States,<=50K +30,Private,228406,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,136398,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Thailand,>50K +21,?,305466,Some-college,10,Never-married,?,Own-child,White,Male,0,0,70,United-States,<=50K +50,Self-emp-inc,175070,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +43,Self-emp-not-inc,34007,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +33,Private,121195,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Other,Male,0,0,50,United-States,<=50K +23,Federal-gov,216853,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +35,Private,81280,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,Yugoslavia,>50K +18,Private,212936,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +21,?,213055,Some-college,10,Never-married,?,Unmarried,Other,Female,0,0,40,United-States,<=50K +33,Local-gov,220430,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K +30,Federal-gov,73514,Bachelors,13,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,45,United-States,<=50K +21,Private,307371,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,15,United-States,<=50K +36,Local-gov,380614,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,Germany,>50K +38,Private,119992,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,192002,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,Canada,>50K +24,Private,327518,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,220323,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,421633,Some-college,10,Divorced,Protective-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +43,Private,154210,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,2829,0,60,China,<=50K +43,Self-emp-not-inc,35034,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,21,United-States,<=50K +62,?,378239,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K +30,State-gov,270218,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +25,Private,254933,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,61751,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +22,Private,137876,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K +73,Private,336007,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2246,40,United-States,>50K +26,Private,222539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,233856,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Black,Male,0,0,45,United-States,<=50K +18,Private,198616,12th,8,Never-married,Craft-repair,Own-child,White,Male,594,0,20,United-States,<=50K +35,Private,202027,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,7298,0,35,United-States,>50K +22,Private,203182,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,43,United-States,<=50K +28,Private,221317,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,186934,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +68,?,351402,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K +40,Local-gov,179580,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,26803,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K +42,Private,344624,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,50,United-States,>50K +31,State-gov,59969,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +33,Private,162930,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,Italy,<=50K +54,Self-emp-not-inc,192654,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +63,Private,117681,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K +67,Self-emp-not-inc,179285,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,217161,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,14,United-States,<=50K +67,Self-emp-inc,116517,Bachelors,13,Widowed,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +33,Private,170336,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,0,19,United-States,<=50K +33,Local-gov,256529,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,80,United-States,<=50K +25,Local-gov,227886,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,141706,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,361888,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +54,Private,185407,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +35,Self-emp-not-inc,176101,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,>50K +18,Private,216730,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +54,?,155755,HS-grad,9,Divorced,?,Not-in-family,White,Female,4416,0,25,United-States,<=50K +30,Private,609789,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,Mexico,<=50K +29,Private,136017,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +41,Private,58880,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,10,United-States,>50K +40,Private,285787,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +46,Private,173243,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K +39,Private,160916,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,45,United-States,<=50K +42,Private,227397,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +49,Self-emp-not-inc,111066,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +23,Private,189924,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,31740,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,120837,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,48,United-States,<=50K +31,Private,172304,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +72,?,166253,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,2,United-States,<=50K +31,Private,86492,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,>50K +90,Private,206667,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +27,Self-emp-not-inc,153546,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +18,?,189041,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,115932,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,99999,0,50,United-States,>50K +27,Local-gov,151626,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,37302,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,109001,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,195488,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +43,Local-gov,216116,Masters,14,Separated,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K +26,Private,118497,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +48,Self-emp-not-inc,101233,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,<=50K +41,Private,349703,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +32,Private,226883,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +23,Private,214635,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,169672,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +42,Private,71458,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +27,State-gov,142621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4101,0,40,United-States,<=50K +34,Private,125279,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,197303,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +46,Local-gov,148995,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,4787,0,45,United-States,>50K +34,Private,69251,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +39,Private,160123,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,137310,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,?,<=50K +25,Private,323229,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,138626,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K +46,Private,102359,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,151888,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,4650,0,50,Ireland,<=50K +37,Private,404661,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,99146,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +38,Self-emp-not-inc,185325,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +35,Self-emp-not-inc,230268,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,38819,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +37,Private,380614,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,13,United-States,>50K +45,Private,319637,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +71,Private,149040,12th,8,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,320984,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +19,?,117201,Some-college,10,Never-married,?,Own-child,White,Male,0,0,22,United-States,<=50K +38,Private,81965,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Local-gov,182302,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,53434,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +48,Private,216214,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,24127,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,>50K +32,Federal-gov,115066,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,120277,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +57,Self-emp-not-inc,134286,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +55,Private,26716,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +48,?,174533,11th,7,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K +46,Self-emp-inc,175958,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,?,<=50K +36,Private,218948,9th,5,Separated,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K +66,Private,117746,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +26,Private,206199,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,89922,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +62,Private,69867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +31,Private,109020,Bachelors,13,Never-married,Prof-specialty,Unmarried,Other,Male,0,0,40,United-States,<=50K +77,?,158847,Assoc-voc,11,Married-spouse-absent,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +25,Private,130302,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,156728,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,56,United-States,<=50K +33,Private,424719,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Federal-gov,217647,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,Private,33087,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,241895,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,38455,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,81054,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,25,United-States,<=50K +44,Private,163215,12th,8,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,156728,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,127930,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +46,Federal-gov,227310,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +24,Private,96844,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,17,United-States,<=50K +18,Private,245199,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,46385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,186385,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,8,United-States,<=50K +55,Private,252714,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,154897,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Private,320744,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Private,138852,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +48,Private,102092,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,?,32533,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,278151,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,338290,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,34378,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +43,Private,91959,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +36,Private,265881,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +60,Private,276009,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,30,Philippines,<=50K +27,Private,193898,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,139364,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +47,State-gov,306473,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,37232,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K +19,State-gov,56424,12th,8,Never-married,Transport-moving,Own-child,Black,Male,0,0,20,United-States,<=50K +33,Private,165235,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Thailand,<=50K +34,Private,153326,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,106976,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Private,109015,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +59,Private,154100,Masters,14,Never-married,Sales,Not-in-family,White,Female,27828,0,45,United-States,>50K +36,Private,183739,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Female,0,2002,40,United-States,<=50K +60,Private,367695,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +33,Local-gov,156015,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,185132,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +20,Self-emp-not-inc,188274,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +28,Local-gov,50512,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,2202,0,50,United-States,<=50K +24,State-gov,147719,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +31,Private,414525,12th,8,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,60,United-States,<=50K +38,Private,289148,HS-grad,9,Married-spouse-absent,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,176069,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +55,State-gov,199713,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +49,Private,297884,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4064,0,50,United-States,<=50K +33,Private,204829,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +52,Private,155433,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,?,<=50K +24,Local-gov,32950,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +46,Private,233511,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +20,Private,210781,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +50,Private,190762,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +22,Private,83315,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,343872,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,35,Haiti,<=50K +46,Private,185385,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +62,?,302142,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2961,0,30,United-States,<=50K +39,Private,80324,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,62,United-States,>50K +26,Private,357933,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +20,Private,211293,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,14,United-States,<=50K +37,Self-emp-inc,199265,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,202872,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +22,Private,195075,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +32,Private,317378,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,10520,0,40,United-States,>50K +41,Private,187802,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,97212,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,47902,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,State-gov,76767,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,39,United-States,>50K +42,Private,172297,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K +56,Private,274475,9th,5,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,105244,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +55,Local-gov,165695,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +29,Private,253801,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Private,305597,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,352448,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +26,Private,242768,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +49,Self-emp-inc,201080,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +18,Local-gov,159032,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,149568,9th,5,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,United-States,<=50K +24,Private,229553,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,20,?,<=50K +24,State-gov,155775,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,120074,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Local-gov,257588,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,177907,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,65,United-States,<=50K +40,Private,309311,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,138975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +43,Self-emp-not-inc,187778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +19,Private,35865,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,35,United-States,<=50K +50,Private,234373,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,<=50K +17,?,151141,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +39,Private,144688,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,50,United-States,<=50K +43,Private,248094,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Private,248094,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,213821,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +31,State-gov,55849,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,121712,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Federal-gov,164552,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,1876,40,United-States,<=50K +55,Private,223127,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,190514,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,75,United-States,<=50K +29,Private,203797,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,378460,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,10520,0,60,United-States,>50K +30,Private,105908,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,232356,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,55,United-States,<=50K +23,Private,210526,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +71,Private,193530,11th,7,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,75,United-States,<=50K +22,?,22966,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +21,Private,43535,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,?,72486,HS-grad,9,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,24,China,<=50K +22,?,229997,Some-college,10,Married-spouse-absent,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Private,183013,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,113364,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K +27,Private,197380,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,298635,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,>50K +26,Private,213385,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +30,?,108464,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,31007,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +26,Private,35917,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,99385,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Canada,<=50K +50,Private,48358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +31,Private,241885,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K +51,Private,24344,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,149686,9th,5,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +24,State-gov,154432,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +29,Private,331875,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Dominican-Republic,<=50K +26,Private,259585,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,24,United-States,<=50K +51,Private,104748,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +32,Local-gov,144949,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +47,State-gov,199512,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,302438,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,129155,11th,7,Widowed,?,Other-relative,Black,Female,0,0,40,United-States,<=50K +49,Federal-gov,115784,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,96509,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +62,Private,226733,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-inc,244945,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +76,Private,243768,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K +40,?,351161,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K +35,Private,186934,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +27,Private,89813,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +54,Self-emp-inc,129432,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +55,Self-emp-not-inc,184702,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,275291,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,12,United-States,<=50K +20,Private,258298,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +39,Private,139743,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +26,Private,102476,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,10520,0,64,United-States,>50K +20,Private,103840,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,42,United-States,<=50K +28,Private,274579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +56,Federal-gov,156842,Some-college,10,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,101020,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,68729,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +55,Private,141326,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,168723,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,347166,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,13550,0,45,United-States,>50K +34,Local-gov,213722,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,57,United-States,>50K +42,Private,196797,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,0,0,38,United-States,<=50K +50,Self-emp-inc,207246,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,75,United-States,<=50K +34,Federal-gov,199934,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +23,Private,272185,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,33,United-States,<=50K +27,?,190650,Bachelors,13,Never-married,?,Unmarried,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K +81,?,147097,Bachelors,13,Widowed,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +47,Private,266281,11th,7,Never-married,Machine-op-inspct,Unmarried,Black,Female,6849,0,40,United-States,<=50K +57,Private,96779,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +65,?,117162,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,56,United-States,>50K +33,Private,188352,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K +37,Private,359131,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,48,United-States,<=50K +53,Private,198824,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,State-gov,68393,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,115613,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +42,Private,45363,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,121590,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,4787,0,40,United-States,>50K +58,Local-gov,292379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,482732,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,24,United-States,<=50K +19,Private,198663,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Private,230329,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +51,Private,29887,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,44,United-States,<=50K +52,Private,194259,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,Germany,<=50K +53,Private,126368,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,>50K +50,Private,108446,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,220696,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,32008,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,72,United-States,<=50K +30,Private,191777,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +50,Private,185846,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +76,Private,127016,7th-8th,4,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,102308,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,40,United-States,>50K +24,Private,157894,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,345405,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2885,0,40,United-States,<=50K +56,Self-emp-not-inc,94156,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +50,Private,145409,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +22,Private,190968,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,2407,0,40,United-States,<=50K +23,Local-gov,212803,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +51,Private,168660,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +58,Private,234481,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,131461,9th,5,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,24,Haiti,<=50K +45,Private,408773,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,126117,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,155489,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +42,Private,296749,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,State-gov,185832,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,46,United-States,>50K +60,Private,43235,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,213152,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Local-gov,334267,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +61,?,253101,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,24,United-States,<=50K +43,Private,64631,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +44,Local-gov,193882,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,1340,40,United-States,<=50K +63,Private,71800,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,41,United-States,<=50K +46,Local-gov,170092,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K +47,Private,198223,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,359796,Some-college,10,Divorced,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Private,110556,HS-grad,9,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,196858,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +48,?,112860,10th,6,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,<=50K +61,Self-emp-not-inc,224784,Assoc-acdm,12,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,90,United-States,<=50K +53,Federal-gov,271544,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,1977,40,United-States,>50K +79,?,142171,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,1409,0,35,United-States,<=50K +44,Private,221172,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +54,Private,256916,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,157332,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,192894,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,>50K +18,Private,240183,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,204338,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,122166,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Iran,<=50K +37,Local-gov,397877,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +51,Private,115066,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,2547,40,United-States,>50K +35,Self-emp-not-inc,170174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K +59,Private,171015,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,34,United-States,<=50K +46,Private,91262,Some-college,10,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +45,Local-gov,127678,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +19,Private,263338,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +22,Private,129508,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,28,United-States,<=50K +41,Private,192107,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,93930,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Federal-gov,207537,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +22,Private,138542,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K +29,Self-emp-not-inc,116207,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +22,Private,198244,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,39,United-States,<=50K +34,Private,90614,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,2042,10,United-States,<=50K +23,Private,211160,12th,8,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,194630,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,3781,0,50,United-States,<=50K +25,Private,161478,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +59,Private,144071,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Private,167005,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,55,United-States,<=50K +55,Private,342121,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +77,Self-emp-not-inc,71676,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,1944,1,United-States,<=50K +42,Private,124692,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,147236,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,145175,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,259323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,154978,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Guatemala,<=50K +60,?,163946,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,127768,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,98588,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,192894,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,194848,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,34446,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +23,Local-gov,177265,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K +30,Private,142977,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +45,Private,241350,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +30,Private,154882,Prof-school,15,Widowed,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +17,Private,60562,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,142566,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,176162,Bachelors,13,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,186303,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,Canada,>50K +40,Private,237671,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +18,?,184416,10th,6,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +58,Private,68624,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,229504,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +59,Private,340591,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3942,0,40,United-States,<=50K +29,Private,262208,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,30,Jamaica,<=50K +26,Private,236008,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Local-gov,214284,Bachelors,13,Widowed,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,10,Japan,<=50K +33,Private,169496,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +21,?,205940,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,195179,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K +25,Private,469697,Some-college,10,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,140242,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,214415,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Private,452283,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,244172,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,231972,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,412296,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,>50K +32,Private,30497,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,189216,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +36,Private,268292,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +38,Private,69306,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +57,State-gov,111224,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,39,United-States,<=50K +22,State-gov,309348,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +80,?,174995,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,Canada,<=50K +20,Private,210781,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,286750,11th,7,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,36,United-States,<=50K +36,Self-emp-not-inc,321274,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,192936,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,72743,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Private,187861,HS-grad,9,Separated,Transport-moving,Unmarried,White,Female,0,0,44,United-States,<=50K +35,Private,179579,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,663394,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,302422,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,?,154373,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +49,Local-gov,37353,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Self-emp-not-inc,109609,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,184402,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +20,Private,224640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,405526,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,36385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,2258,50,United-States,<=50K +20,Private,147884,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,164231,11th,7,Separated,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +25,Private,383306,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,417668,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,36,United-States,<=50K +25,Private,161007,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +63,State-gov,99823,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,32,United-States,<=50K +25,Private,37379,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,148645,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,180477,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +28,Private,123147,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,4865,0,40,United-States,<=50K +30,Private,111415,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +41,Local-gov,107327,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Local-gov,146565,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,4865,0,30,United-States,<=50K +36,Private,267556,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K +47,Private,284871,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +27,Private,194690,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,50,Mexico,<=50K +32,Federal-gov,145983,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +52,Private,163998,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,45,United-States,>50K +50,Private,128478,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +21,Private,250647,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,30,Nicaragua,<=50K +60,Private,226949,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +47,Private,157901,11th,7,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,36,United-States,<=50K +54,Self-emp-not-inc,33863,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +32,Local-gov,40444,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Private,54373,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,52753,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1504,40,United-States,<=50K +29,Self-emp-not-inc,104423,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,4386,0,45,United-States,>50K +36,Local-gov,305714,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,70,United-States,<=50K +38,Local-gov,167440,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +59,Private,291529,10th,6,Widowed,Machine-op-inspct,Not-in-family,White,Male,0,0,52,United-States,<=50K +43,Private,243380,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,38619,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,10,United-States,<=50K +42,Private,230684,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,40,United-States,<=50K +33,Private,132601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,193285,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,5013,0,40,United-States,<=50K +51,Private,279156,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,339372,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,101265,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +23,Private,117789,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +31,Private,312667,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,255503,11th,7,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +21,Private,221955,9th,5,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +22,Private,139190,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +35,Private,185556,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +53,Federal-gov,84278,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +40,Private,114580,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,24,United-States,>50K +36,Private,185405,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +33,Self-emp-not-inc,199539,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +23,Private,346480,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +51,Local-gov,349431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,United-States,>50K +31,Private,219619,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,48,United-States,<=50K +28,Local-gov,127491,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,5721,0,40,United-States,<=50K +26,Self-emp-not-inc,253899,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,155232,Bachelors,13,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,60,United-States,>50K +43,Private,182437,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +19,Private,530454,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Private,101430,11th,7,Divorced,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +49,Local-gov,358668,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +31,Private,90668,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,126141,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,238355,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +22,Private,194031,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,117833,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +46,Private,249686,Prof-school,15,Separated,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +44,Self-emp-not-inc,219591,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,221757,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,80625,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,185407,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,163110,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +34,?,24504,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,159187,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,55,United-States,>50K +21,Private,100462,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,2174,0,60,United-States,<=50K +27,Private,192936,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,145011,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,181196,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,37778,Masters,14,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +27,Private,60288,Masters,14,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,84231,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,United-States,<=50K +24,Private,52028,1st-4th,2,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,5,Vietnam,<=50K +63,Private,318763,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,22,United-States,<=50K +29,Private,168138,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +34,Private,113530,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,321896,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,145791,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,131425,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,145214,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,4650,0,20,United-States,<=50K +64,Local-gov,142166,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,99,United-States,<=50K +20,Private,494784,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K +44,Self-emp-not-inc,172479,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,60,United-States,>50K +35,Private,184655,11th,7,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Local-gov,26669,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,191479,Some-college,10,Divorced,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,86625,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,?,<=50K +64,State-gov,111795,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +42,Private,242564,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2205,40,United-States,<=50K +31,Private,364657,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,>50K +42,Self-emp-not-inc,436107,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,272476,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,>50K +36,Federal-gov,47310,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,>50K +23,Private,283796,12th,8,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,30,Mexico,<=50K +20,Private,161092,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,14,United-States,<=50K +26,Local-gov,265230,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Federal-gov,61885,Bachelors,13,Never-married,Transport-moving,Not-in-family,Black,Male,0,2001,65,United-States,<=50K +40,Private,150471,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,183041,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +33,Private,176673,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Federal-gov,235891,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Columbia,<=50K +41,Private,163287,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,43,United-States,>50K +29,Private,164040,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,324561,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +48,Private,99127,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,334999,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,543477,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +35,Private,65876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,105866,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,United-States,<=50K +27,Private,214858,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,154076,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +70,Private,280307,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,Cuba,<=50K +30,Private,97723,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +24,Private,233499,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +76,Local-gov,259612,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,15,United-States,<=50K +25,Private,236977,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K +39,Private,347814,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,56,United-States,<=50K +36,Local-gov,197495,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,227594,12th,8,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +60,Private,165441,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +20,?,337488,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +54,Private,167552,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Haiti,>50K +20,Private,396722,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Federal-gov,146538,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,51973,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,144778,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,169672,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,240137,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +54,State-gov,103179,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +17,Private,172050,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +43,Private,178976,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,176185,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,2258,42,United-States,<=50K +30,Private,158200,Prof-school,15,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,?,<=50K +38,Federal-gov,172571,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +54,Self-emp-not-inc,226735,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,45,United-States,<=50K +39,Private,148015,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,52,United-States,<=50K +32,Private,199529,Some-college,10,Separated,Tech-support,Not-in-family,Amer-Indian-Eskimo,Male,0,1980,40,United-States,<=50K +61,Local-gov,35001,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,2885,0,40,United-States,<=50K +24,?,67586,Assoc-voc,11,Married-civ-spouse,?,Wife,Black,Female,0,0,35,United-States,<=50K +22,Private,88126,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,226296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +18,Private,452452,10th,6,Never-married,Priv-house-serv,Own-child,Black,Female,0,0,20,United-States,<=50K +20,Private,378546,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +53,Federal-gov,186087,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,27856,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Self-emp-not-inc,234859,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,71733,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +28,Private,207473,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,El-Salvador,<=50K +54,Private,179291,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,56,Haiti,>50K +21,?,253190,Some-college,10,Never-married,?,Own-child,White,Male,0,0,48,United-States,<=50K +52,Private,92968,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,?,<=50K +25,Private,209286,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,122889,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K +33,Private,112358,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +49,Private,176341,Bachelors,13,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,India,<=50K +58,Private,247276,7th-8th,4,Widowed,Other-service,Not-in-family,Other,Female,0,0,30,United-States,<=50K +45,Private,276087,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K +67,Private,257557,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,10566,0,40,United-States,<=50K +42,Local-gov,177937,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,?,<=50K +69,Self-emp-inc,106395,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +61,Private,167138,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,213887,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,185647,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,143360,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,34,United-States,<=50K +31,Self-emp-not-inc,176862,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Federal-gov,97614,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +76,?,224680,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,1258,20,United-States,<=50K +53,Private,196763,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,<=50K +46,Private,306183,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +43,Self-emp-not-inc,343061,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,40,Cuba,<=50K +48,?,193047,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +39,Private,348521,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,99,United-States,>50K +59,Private,195835,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,106273,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K +40,Private,222756,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-inc,110610,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +44,?,191982,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,10,Poland,<=50K +46,Private,247286,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,219042,10th,6,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,224566,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,1669,45,United-States,<=50K +57,Private,204751,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +58,Private,113398,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +25,?,170428,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,28,Taiwan,<=50K +59,Private,258579,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,35,United-States,>50K +36,Private,162424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,263005,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Germany,<=50K +49,Self-emp-inc,26502,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,6497,0,45,United-States,<=50K +42,Private,369131,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +43,Local-gov,114859,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,17,United-States,<=50K +46,Private,405309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,323627,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K +40,Private,106698,Assoc-acdm,12,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,51506,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,117251,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +26,Private,106705,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,28,United-States,<=50K +30,Private,217296,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +58,Private,34788,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +43,Private,143368,HS-grad,9,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +53,Local-gov,86600,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +74,State-gov,117017,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K +64,?,104756,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,8,United-States,<=50K +45,Private,55720,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,State-gov,481096,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,10,United-States,<=50K +23,?,281668,10th,6,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +38,Private,186145,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +42,Self-emp-not-inc,96524,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,Local-gov,187397,Some-college,10,Never-married,Protective-serv,Unmarried,Other,Male,1151,0,40,United-States,<=50K +63,Private,181153,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +25,Local-gov,375170,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,United-States,<=50K +37,Private,360743,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,420054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +31,Private,137681,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,28419,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +44,Private,101214,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,44,United-States,>50K +42,Local-gov,213019,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +45,Private,207540,Doctorate,16,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +52,Private,145333,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,Private,107306,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Private,195327,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,196126,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +17,Private,175465,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,14,United-States,<=50K +27,Private,197905,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +71,Self-emp-inc,118119,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,50,United-States,>50K +35,Private,172571,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,25051,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +26,Private,210714,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,52,United-States,>50K +22,Private,183083,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +51,Private,99185,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +33,Private,283921,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,396467,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +50,Private,158680,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,202091,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,285127,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,218630,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-inc,99309,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,165505,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,122272,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +58,Private,147707,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +47,Federal-gov,44257,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +51,Self-emp-inc,194995,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +42,State-gov,345969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +28,Private,31842,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,143582,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,35,Vietnam,<=50K +50,Private,161438,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,317019,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +47,Self-emp-not-inc,158451,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +60,Private,225883,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,27,United-States,<=50K +46,Self-emp-not-inc,176319,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Female,7298,0,40,United-States,>50K +58,Self-emp-inc,258883,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +62,Private,26966,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,202812,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +59,Private,35411,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,190885,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +31,Private,182162,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +18,Private,352640,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +64,Self-emp-not-inc,213945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Self-emp-not-inc,135102,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +47,Self-emp-not-inc,102583,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +68,Private,225612,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,35,United-States,>50K +32,Private,241802,HS-grad,9,Married-civ-spouse,Other-service,Wife,Other,Female,0,0,40,United-States,<=50K +39,Private,347434,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,43,Mexico,<=50K +37,Private,305259,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +29,Private,140830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,291568,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Other,Male,0,0,40,United-States,<=50K +46,Private,203067,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,155106,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,?,252752,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,35,United-States,<=50K +65,?,404601,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2414,0,30,United-States,<=50K +52,Local-gov,100226,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +40,Private,63503,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +61,Private,95929,9th,5,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,187618,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +61,Self-emp-not-inc,92178,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,220362,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,>50K +32,Local-gov,209900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +32,Private,272376,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,173854,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Male,0,0,35,United-States,>50K +37,Private,278924,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,324568,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-inc,124963,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +29,Private,211299,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Male,0,0,45,United-States,<=50K +48,Private,192791,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +69,Private,182862,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,15831,0,40,United-States,>50K +28,Private,46868,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Local-gov,31365,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +45,Private,148171,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +18,Private,142647,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +60,Private,116230,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,108907,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,?,<=50K +19,Private,495982,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +18,Private,334026,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +33,Private,268571,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,213813,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,241667,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Private,160920,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +50,Private,107265,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +19,?,41609,Some-college,10,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +28,Private,129460,10th,6,Widowed,Adm-clerical,Unmarried,White,Female,0,2238,35,United-States,<=50K +43,?,109912,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,7,United-States,>50K +23,Private,167424,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,270079,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,325923,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K +19,Private,194905,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +47,Local-gov,183486,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +36,Federal-gov,153066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-inc,56248,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2415,60,United-States,>50K +65,Private,105252,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-not-inc,168195,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,>50K +35,Private,167735,11th,7,Never-married,Craft-repair,Own-child,White,Male,6849,0,40,United-States,<=50K +50,Private,146310,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,256504,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,6,United-States,<=50K +17,Private,121425,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +33,Private,146440,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +57,?,155259,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Self-emp-not-inc,98829,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +47,Self-emp-inc,239321,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-inc,134768,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +35,Private,556902,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,47907,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +23,Private,114357,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,189462,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1504,45,United-States,<=50K +39,Private,90646,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,232914,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,<=50K +24,Private,192201,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,20,United-States,<=50K +23,Private,27776,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,137476,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +30,Private,100734,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,38,United-States,<=50K +34,Private,111746,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,45,Portugal,<=50K +32,Private,184833,10th,6,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,414721,11th,7,Never-married,Other-service,Own-child,Black,Male,0,1602,23,United-States,<=50K +20,Private,151780,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Female,0,0,35,United-States,<=50K +38,State-gov,203628,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +18,Private,137363,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,172307,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,273403,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,State-gov,37931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,>50K +61,Private,97030,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,Private,54608,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +26,Private,108542,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +27,Private,253814,Bachelors,13,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +45,Private,421412,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +47,Private,207140,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +19,Private,138153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +29,Private,46987,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +51,Self-emp-inc,183173,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +34,Local-gov,229531,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +42,Self-emp-not-inc,320744,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,3908,0,45,United-States,<=50K +26,Private,257405,5th-6th,3,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,Mexico,<=50K +20,State-gov,432052,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,15,United-States,<=50K +43,Private,397280,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +20,Private,38001,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +27,Private,101618,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +46,Federal-gov,332727,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,115215,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,178449,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,49,United-States,<=50K +42,Private,185267,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,32,United-States,<=50K +23,Private,410439,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +29,Private,85572,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,42,United-States,>50K +27,Private,83517,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +43,Self-emp-not-inc,194726,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +23,Private,322674,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Local-gov,34540,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +35,Local-gov,211073,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,61,United-States,>50K +30,Private,194901,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +59,Private,117059,11th,7,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +65,Self-emp-not-inc,78875,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,2290,0,40,United-States,<=50K +28,Private,51461,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +79,Private,266119,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,92374,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,United-States,>50K +54,Private,175262,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,208249,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,62,United-States,<=50K +30,Private,196385,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K +22,?,110622,Bachelors,13,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,Taiwan,<=50K +34,Private,146980,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,65,United-States,<=50K +18,Private,112974,11th,7,Never-married,Prof-specialty,Other-relative,White,Male,0,0,3,United-States,<=50K +40,Self-emp-not-inc,175943,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,15,United-States,>50K +28,Private,163265,9th,5,Married-civ-spouse,Sales,Husband,White,Male,4508,0,40,United-States,<=50K +18,Private,210932,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,145290,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,198992,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +77,?,174887,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +41,Federal-gov,36651,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,40,United-States,>50K +48,Private,190072,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +29,Private,49087,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,126622,11th,7,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,174189,9th,5,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,118605,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +49,Self-emp-not-inc,377622,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,Private,157272,HS-grad,9,Separated,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +30,Private,78530,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,190391,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,State-gov,162678,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,103980,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,<=50K +20,Private,293726,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,98350,Preschool,1,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +30,Private,207668,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,60,Hungary,<=50K +29,Federal-gov,41013,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +50,Private,188186,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,1590,45,United-States,<=50K +44,Federal-gov,320071,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,306908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +62,Private,167652,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,173580,Some-college,10,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,273612,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +26,Private,195555,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,186446,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +22,Private,418405,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,41793,Masters,14,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,?,<=50K +26,Private,183965,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,354784,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,198096,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +32,Private,732102,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,Self-emp-not-inc,97847,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,196678,Preschool,1,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +19,Private,320014,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +54,Self-emp-inc,298215,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Private,295127,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,368140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Self-emp-not-inc,187411,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,?,<=50K +22,?,121070,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,212163,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +35,Self-emp-not-inc,108198,HS-grad,9,Divorced,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,15,United-States,<=50K +42,Federal-gov,294431,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,202560,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +29,Self-emp-inc,266070,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +34,Private,346122,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,308686,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +62,Self-emp-inc,236096,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,187711,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,238959,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +47,Private,93557,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,329980,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,125010,Assoc-voc,11,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,30,United-States,<=50K +60,Self-emp-inc,90915,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,Private,289731,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +74,?,33114,10th,6,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,1797,0,30,United-States,<=50K +63,Private,206052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,191385,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,?,268804,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K +40,Self-emp-inc,191429,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +35,Self-emp-not-inc,199753,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +50,Local-gov,92486,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,171088,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +33,Private,112820,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,32855,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +17,Private,142964,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +47,Private,89146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +51,?,147015,Some-college,10,Divorced,?,Not-in-family,Black,Male,0,0,50,United-States,<=50K +26,Private,291968,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,29235,Some-college,10,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,40,France,>50K +55,Private,238216,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,323726,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Private,141663,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +19,?,218471,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,30,United-States,<=50K +32,Private,118551,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +52,Local-gov,35092,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,139703,HS-grad,9,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,28,Jamaica,<=50K +39,Federal-gov,206190,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +59,Self-emp-not-inc,178353,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +55,Federal-gov,169133,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,103179,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +31,Private,354464,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +19,?,124651,11th,7,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K +30,Private,60426,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +47,Federal-gov,98726,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,133861,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,180303,Bachelors,13,Divorced,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,47,Iran,<=50K +33,Private,221324,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,325658,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,210562,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,152249,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Male,0,0,35,Mexico,<=50K +29,Private,178649,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,20,France,<=50K +41,State-gov,48997,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +39,Private,243409,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,162442,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +23,Private,203078,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Male,0,0,24,United-States,<=50K +53,Self-emp-inc,155983,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +45,Self-emp-not-inc,182677,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +34,?,170276,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,10,United-States,>50K +47,Private,105381,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,?,256240,7th-8th,4,Married-civ-spouse,?,Own-child,White,Male,0,0,60,United-States,<=50K +42,Private,210275,Masters,14,Divorced,Tech-support,Unmarried,Black,Female,4687,0,35,United-States,>50K +53,Private,150980,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,United-States,<=50K +38,Self-emp-inc,141584,HS-grad,9,Divorced,Sales,Unmarried,White,Male,0,0,55,United-States,<=50K +26,Private,113571,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +18,Private,154089,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,50197,10th,6,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Private,132572,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,32,United-States,<=50K +47,Private,238185,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,112754,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K +21,?,357029,Some-college,10,Married-civ-spouse,?,Wife,Black,Female,2105,0,20,United-States,<=50K +32,State-gov,213389,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,1726,38,United-States,<=50K +48,Self-emp-inc,287647,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,55,United-States,>50K +39,Private,150061,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,15020,0,60,United-States,>50K +58,Self-emp-inc,143266,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,68006,7th-8th,4,Never-married,Other-service,Other-relative,White,Female,0,0,60,United-States,<=50K +40,Private,287079,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K +33,Private,223212,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +74,Self-emp-not-inc,173929,Doctorate,16,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,25,United-States,>50K +49,Self-emp-not-inc,182211,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K +56,Self-emp-not-inc,62539,11th,7,Widowed,Other-service,Unmarried,White,Female,0,0,65,Greece,>50K +29,Private,157612,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,14344,0,40,United-States,>50K +25,Private,305472,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,48,United-States,<=50K +57,Private,548256,12th,8,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,40295,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,112403,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,2354,0,40,United-States,<=50K +59,Private,31137,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,116138,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,60,United-States,>50K +28,?,127833,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +40,Private,240027,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,45,United-States,<=50K +28,Private,129882,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,?,355890,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,>50K +20,Private,107658,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,10,Canada,<=50K +58,Private,136841,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,35,United-States,>50K +19,Private,146679,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Male,0,0,30,United-States,<=50K +75,?,35724,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +24,Federal-gov,42251,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +31,Private,113838,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +28,Self-emp-not-inc,282398,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +41,Private,33331,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +23,Federal-gov,41031,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Private,155489,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,>50K +33,Private,53042,12th,8,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,174789,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +47,Local-gov,203067,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +81,Private,177408,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,26,United-States,>50K +45,Private,216626,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Other,Male,0,0,40,Columbia,<=50K +35,Private,93034,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +59,Self-emp-not-inc,188003,Bachelors,13,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +46,Local-gov,65535,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +39,Private,366757,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,414545,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Private,295919,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,34378,1st-4th,2,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,58359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +25,Private,476334,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,255424,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +34,Local-gov,175856,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,124692,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,118551,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +78,?,292019,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +31,Private,288566,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,>50K +61,Private,137733,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +22,Private,39432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,138537,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +37,Private,709445,HS-grad,9,Separated,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +35,Private,194809,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Self-emp-inc,89041,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +37,?,299090,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +18,Private,159561,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,236328,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +46,Private,269045,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +25,?,196627,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,323798,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Private,463072,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +32,Private,199655,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Other,Female,0,1740,40,?,<=50K +25,Self-emp-inc,98756,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,50,United-States,<=50K +50,State-gov,161075,HS-grad,9,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,192485,12th,8,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K +25,Private,201579,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +23,Private,117606,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,?,177487,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,237731,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,2829,0,65,United-States,<=50K +37,Private,60313,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,270059,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,25236,0,25,United-States,>50K +27,Private,169958,5th-6th,3,Never-married,Craft-repair,Own-child,White,Male,0,0,40,?,<=50K +19,Private,240686,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +52,Local-gov,124793,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,113948,Assoc-voc,11,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K +17,?,241021,12th,8,Never-married,?,Own-child,Other,Female,0,0,40,United-States,<=50K +21,Private,147655,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,38876,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +55,Private,117299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +20,?,114813,10th,6,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,136310,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,153132,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +23,Private,197552,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +33,Private,69748,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,175738,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +50,State-gov,78649,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,188774,11th,7,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,60,?,<=50K +48,Private,155659,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +19,Federal-gov,215891,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +40,Private,144928,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,33688,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,1669,70,United-States,<=50K +65,Private,262446,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +44,Federal-gov,191295,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,48,United-States,<=50K +32,Private,279173,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Private,153031,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +28,Private,202239,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +44,Federal-gov,469454,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,48,United-States,>50K +39,Local-gov,164156,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,55,United-States,<=50K +59,Private,196482,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,176185,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,France,>50K +34,Private,287315,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,117210,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,41610,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,160703,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +31,Private,80511,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,44,United-States,<=50K +39,Private,219155,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +35,Private,106347,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,68899,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2129,40,United-States,<=50K +44,Self-emp-not-inc,163985,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,>50K +28,Private,270887,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +17,Private,205726,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +23,Private,218899,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K +35,Private,186183,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,80,United-States,>50K +19,Private,248749,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +30,Private,197558,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,176514,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,?,116820,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,128730,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,65,Greece,>50K +37,Private,215503,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,45,United-States,>50K +44,Private,226129,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,175856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,55,United-States,>50K +43,Private,281138,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,98061,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,260560,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,289909,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Private,59590,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +24,Private,236769,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,423616,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,24,United-States,>50K +24,Private,291407,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,100029,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +33,Private,204494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,56,United-States,>50K +24,Private,201680,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,154308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +31,Private,150324,11th,7,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Local-gov,331609,Some-college,10,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,47,United-States,<=50K +28,Private,100829,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +38,Private,203169,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +25,Private,122075,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,178778,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,276345,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +48,Private,233511,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +24,Private,289448,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +31,Private,173350,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Private,130589,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +62,Private,94318,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +25,Private,297531,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,129762,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,182614,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,Poland,<=50K +60,Private,120067,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,182370,Assoc-acdm,12,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,State-gov,60949,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,190511,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +47,Private,188195,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,89534,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,125831,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1887,55,United-States,>50K +23,Private,183358,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +38,?,75024,7th-8th,4,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,251120,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,40,England,<=50K +35,Private,108946,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,93223,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +61,Private,147393,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +71,?,45801,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K +35,State-gov,225385,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Federal-gov,23892,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,179668,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Scotland,<=50K +27,Self-emp-not-inc,404998,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,68882,1st-4th,2,Widowed,Other-service,Unmarried,White,Female,0,0,35,Portugal,<=50K +55,Self-emp-not-inc,194065,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,357540,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2002,55,United-States,<=50K +33,Private,185336,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +25,State-gov,152503,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +52,Private,167794,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +46,Private,96552,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,17,United-States,<=50K +34,Private,169527,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,4386,0,20,United-States,<=50K +52,State-gov,254285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,32509,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,125492,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,186035,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +69,?,168794,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,<=50K +34,Private,191856,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,40,United-States,>50K +36,Private,215503,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +31,Private,187560,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,2174,0,40,United-States,<=50K +31,Self-emp-not-inc,252752,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,2415,40,United-States,>50K +38,Local-gov,210991,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +57,Local-gov,190748,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +24,Private,117767,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +37,Private,301070,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Male,0,0,45,United-States,<=50K +69,Self-emp-not-inc,204645,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,9386,0,72,United-States,>50K +39,Private,186183,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Private,131808,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +34,State-gov,156292,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +21,Private,124589,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,262819,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +61,Private,95500,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,241306,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,238680,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,55,Outlying-US(Guam-USVI-etc),<=50K +18,?,42293,10th,6,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +41,Local-gov,168071,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +42,Private,337629,12th,8,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,?,>50K +52,Private,168001,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +38,Private,97759,12th,8,Never-married,Other-service,Unmarried,White,Female,0,0,17,United-States,<=50K +51,Self-emp-not-inc,107096,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,76860,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +20,Private,70076,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,312017,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,174138,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,125892,Bachelors,13,Divorced,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,210474,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,State-gov,157332,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +28,Private,30771,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,319768,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,France,>50K +34,Private,209101,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,55,United-States,>50K +25,Private,324609,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +48,Private,268234,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Local-gov,178109,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,43,United-States,<=50K +31,Private,25955,9th,5,Never-married,Craft-repair,Own-child,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K +65,?,123484,HS-grad,9,Widowed,?,Other-relative,White,Female,0,0,25,United-States,<=50K +56,Local-gov,129762,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +22,Self-emp-not-inc,108506,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,Amer-Indian-Eskimo,Male,0,0,75,United-States,<=50K +27,Private,241607,Bachelors,13,Never-married,Tech-support,Other-relative,White,Male,0,0,50,United-States,<=50K +27,Federal-gov,214385,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Local-gov,183000,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,290763,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,171924,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K +19,Private,97189,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,22,United-States,<=50K +42,Private,195096,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +37,Federal-gov,329088,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +26,Private,58371,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +32,?,256371,12th,8,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +43,Private,35824,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,173271,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,391349,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +24,Private,86153,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,295855,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K +33,Self-emp-not-inc,327902,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,285102,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Taiwan,>50K +57,Private,178353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +45,Private,28119,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,7,United-States,<=50K +42,Private,197522,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +25,Private,108542,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,35,United-States,<=50K +56,Private,179781,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,126974,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,180060,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,50,United-States,<=50K +35,Local-gov,38948,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,271572,9th,5,Never-married,Other-service,Other-relative,White,Male,0,0,52,United-States,<=50K +41,Private,177305,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +26,Private,238367,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,172232,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +22,Private,153805,HS-grad,9,Never-married,Other-service,Unmarried,Other,Male,0,0,20,Puerto-Rico,<=50K +30,Private,26543,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,109067,Bachelors,13,Separated,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,213716,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,149809,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +27,Private,185670,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +43,Federal-gov,233851,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +68,?,192052,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,2457,40,United-States,<=50K +41,Private,193524,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,<=50K +25,Private,213385,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,38238,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +68,Private,104438,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Ireland,>50K +17,Private,202344,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +45,Self-emp-not-inc,43434,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,102147,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,231826,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +49,State-gov,247378,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +42,Private,78765,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K +29,Private,184078,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +21,Local-gov,102942,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,2001,40,United-States,<=50K +20,Private,258430,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +59,Private,244554,11th,7,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +26,Private,252565,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +25,Private,262778,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,37,United-States,<=50K +33,Private,162572,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,>50K +35,Private,65706,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,102569,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +66,Private,350498,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,28,United-States,<=50K +67,?,159542,5th-6th,3,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,142383,Assoc-acdm,12,Never-married,Sales,Not-in-family,Other,Male,0,0,36,United-States,<=50K +38,Private,229236,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,Puerto-Rico,<=50K +72,Private,56559,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K +21,Private,27049,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +39,Private,36376,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,194360,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +22,Private,246965,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,12,United-States,<=50K +49,Self-emp-inc,191277,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +24,Private,268525,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K +25,Private,456604,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,223464,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,341797,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,174461,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,392167,10th,6,Divorced,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +60,Private,210064,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,?,233182,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,7,United-States,<=50K +77,Local-gov,177550,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,3818,0,14,United-States,<=50K +62,Private,143312,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +22,Private,326334,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +37,Private,179088,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,207637,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +52,Federal-gov,37289,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +31,Private,36069,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +23,Federal-gov,53245,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-inc,399904,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,Mexico,<=50K +38,Self-emp-inc,199346,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K +23,Private,343019,10th,6,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,State-gov,232742,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,390472,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,290124,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +23,Private,242912,Some-college,10,Never-married,Other-service,Own-child,White,Female,4650,0,40,United-States,<=50K +39,Private,70240,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +38,Local-gov,286405,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +25,Private,153841,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,137367,Bachelors,13,Never-married,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,44,Philippines,<=50K +66,Private,313255,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +30,Private,100734,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +32,Private,248584,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,60001,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +18,Private,335065,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,30,Mexico,<=50K +20,Private,219262,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,Private,186830,HS-grad,9,Never-married,Transport-moving,Other-relative,Black,Male,0,0,45,United-States,<=50K +34,Private,226385,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,609789,Assoc-acdm,12,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,307767,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,217460,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +30,Private,104052,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,1741,42,United-States,<=50K +41,Local-gov,160893,Preschool,1,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,30,United-States,<=50K +20,Private,68358,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +40,Self-emp-not-inc,243636,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +44,Self-emp-not-inc,71269,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,71898,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +38,?,212048,Prof-school,15,Divorced,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,Local-gov,115040,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,25,United-States,<=50K +45,Private,111994,Some-college,10,Divorced,Sales,Not-in-family,White,Male,4650,0,40,United-States,<=50K +25,Private,210794,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +22,?,88126,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,570821,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +63,?,146196,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +55,State-gov,169482,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +26,Private,63577,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +22,Private,208946,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,26598,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,189203,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,183892,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +82,?,194590,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +18,Private,188616,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +60,Private,116707,11th,7,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,99199,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +39,Local-gov,183620,Some-college,10,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,>50K +34,Private,110476,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,157043,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Female,2202,0,30,?,<=50K +53,Private,150726,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,214695,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,60,United-States,<=50K +37,Private,172694,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,50,United-States,<=50K +25,Private,344804,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Mexico,<=50K +33,Private,319422,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,Peru,<=50K +34,State-gov,327902,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,438176,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K +51,Private,197656,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,219838,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,35561,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +25,?,156848,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +56,Private,190257,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,156464,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,85,England,>50K +36,Private,65624,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,201699,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +55,Private,349910,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,>50K +88,Self-emp-not-inc,187097,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,264314,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,Columbia,<=50K +40,Self-emp-not-inc,282678,Masters,14,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Private,188923,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,55,United-States,<=50K +46,Private,114797,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Black,Female,0,0,36,United-States,<=50K +56,Private,245215,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +36,Self-emp-not-inc,36270,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +67,Self-emp-not-inc,107138,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,77820,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,39477,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,58305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1573,40,United-States,<=50K +23,Private,359759,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +19,?,249147,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +19,Private,44797,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,15,United-States,<=50K +25,Private,164488,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,48413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,?,261276,Some-college,10,Never-married,?,Own-child,Black,Female,0,1602,40,Cambodia,<=50K +31,Self-emp-not-inc,36592,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,91,United-States,<=50K +33,Private,280923,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +33,Federal-gov,29617,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,208802,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,36,United-States,>50K +35,Private,189240,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,?,37932,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,181705,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,147548,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,85,United-States,<=50K +51,Self-emp-not-inc,306784,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +45,?,260953,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +45,State-gov,190406,Prof-school,15,Divorced,Prof-specialty,Unmarried,Black,Male,25236,0,36,United-States,>50K +24,Private,230229,5th-6th,3,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +28,Private,46987,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,2174,0,36,United-States,<=50K +63,Private,301108,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,22,United-States,<=50K +35,Private,263081,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,>50K +25,Self-emp-not-inc,37741,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +36,Private,115834,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,55,United-States,>50K +44,Private,150076,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +49,Self-emp-not-inc,148254,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Female,0,0,28,United-States,<=50K +52,Private,183611,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,258768,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,287658,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +51,Private,95946,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +49,Private,31267,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,302149,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K +28,Private,250135,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,176073,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +65,Private,23580,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,163665,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +30,Federal-gov,43953,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,144860,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +58,Self-emp-not-inc,61474,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +57,Private,141570,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1977,40,United-States,>50K +40,Private,225660,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +42,Private,336891,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,210164,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,171080,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,143342,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,281627,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,409922,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +65,?,224472,Prof-school,15,Never-married,?,Not-in-family,White,Male,25124,0,80,United-States,>50K +29,Private,157262,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +31,Private,144949,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +71,Local-gov,303860,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Male,2050,0,20,United-States,<=50K +34,Private,104293,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,195481,HS-grad,9,Married-civ-spouse,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,193995,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +67,Private,105216,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +40,Private,147206,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,173585,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,18,United-States,<=50K +38,Private,187870,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +38,Private,248919,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K +42,Private,280410,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,Haiti,<=50K +36,State-gov,170861,HS-grad,9,Separated,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +23,Self-emp-not-inc,409230,1st-4th,2,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +56,Private,340171,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,41017,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K +22,Private,416356,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +39,Private,261504,12th,8,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,State-gov,205555,Prof-school,15,Divorced,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +44,Private,245317,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +38,Private,153685,11th,7,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,52,United-States,<=50K +19,?,169758,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,99374,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +57,Local-gov,139452,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,16,United-States,<=50K +54,Private,227832,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Self-emp-not-inc,213024,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,30,United-States,<=50K +22,?,24008,Some-college,10,Never-married,?,Own-child,White,Male,0,0,72,United-States,<=50K +63,Self-emp-not-inc,33487,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-inc,187934,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,20,Poland,<=50K +26,Private,421561,11th,7,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,25,United-States,<=50K +40,Private,109969,11th,7,Divorced,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +20,Private,116830,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,117166,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2635,0,40,United-States,<=50K +28,Private,106951,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,United-States,<=50K +30,Private,89625,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,5,United-States,>50K +42,Private,194537,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,144002,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,202214,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,109762,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,292570,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +67,Private,105252,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,7978,0,35,United-States,<=50K +65,Private,94552,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Local-gov,46401,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +18,Private,151150,10th,6,Never-married,Farming-fishing,Own-child,White,Male,0,0,27,United-States,<=50K +31,Private,197689,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,38,United-States,<=50K +36,Self-emp-inc,180477,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,181761,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,381153,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,165474,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,39,United-States,<=50K +38,Federal-gov,190174,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,295991,10th,6,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +52,Without-pay,198262,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,<=50K +34,Private,190385,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +30,?,411560,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +49,Private,262116,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,<=50K +45,Private,178922,9th,5,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +46,Private,192963,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,2415,35,Philippines,>50K +34,Self-emp-inc,209538,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +21,Self-emp-not-inc,103277,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,4508,0,30,Portugal,<=50K +17,Private,216086,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +23,Private,636017,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Private,155781,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,136873,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,State-gov,122066,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +27,State-gov,346406,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,50,United-States,<=50K +43,Private,117915,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,19914,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,50,Philippines,<=50K +55,Private,255364,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +31,Private,703107,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Private,62374,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +34,Private,96245,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,348796,Bachelors,13,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,136873,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +35,Private,388252,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,47783,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +62,Private,194167,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,2174,0,40,United-States,<=50K +40,Federal-gov,544792,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,434463,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,39,United-States,<=50K +32,Private,317219,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1590,40,United-States,<=50K +70,Private,221603,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,34,United-States,<=50K +23,Private,233711,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,111567,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +57,Private,79830,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,192259,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +24,Private,239663,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +41,Local-gov,34987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +38,Self-emp-not-inc,409189,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,135525,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,152159,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +18,Private,141363,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,214816,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,42907,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K +30,Private,161815,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +42,Private,127314,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +48,Private,395368,Some-college,10,Divorced,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +70,Private,184176,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +37,Private,112660,9th,5,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +51,Private,183709,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,434114,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +59,Self-emp-not-inc,165315,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,43,United-States,>50K +57,Private,190997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,335533,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,176146,5th-6th,3,Separated,Craft-repair,Not-in-family,Other,Male,0,0,35,Mexico,<=50K +19,Private,272063,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,169564,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Private,188856,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,8614,0,55,United-States,>50K +25,Private,69847,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,198759,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,80,United-States,>50K +22,Private,175431,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,228357,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,?,<=50K +72,Self-emp-not-inc,284120,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,109133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,167336,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +76,?,42209,9th,5,Widowed,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +37,Private,282951,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,303155,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +44,Private,261899,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +33,Private,168030,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,21,United-States,>50K +53,State-gov,71417,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,239130,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +69,Private,200560,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +20,Private,157541,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,27,United-States,<=50K +33,Private,255004,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,230136,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,>50K +50,Local-gov,124963,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,35,United-States,>50K +22,Private,39615,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,47678,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,Local-gov,281315,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,176123,HS-grad,9,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +24,?,165350,HS-grad,9,Separated,?,Not-in-family,Black,Male,0,0,50,Germany,<=50K +32,Private,235862,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +41,Private,142579,Bachelors,13,Widowed,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K +35,Private,38294,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,111483,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,189850,Some-college,10,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +34,State-gov,145874,Doctorate,16,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,20,China,<=50K +23,Private,139012,Assoc-voc,11,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K +30,Local-gov,211654,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,173090,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +26,Private,104834,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +42,?,195124,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,Dominican-Republic,<=50K +39,Private,32146,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +52,Private,282674,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +42,Private,190403,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,Canada,<=50K +25,Private,247025,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,48,United-States,<=50K +27,Private,198258,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +30,Self-emp-not-inc,172748,7th-8th,4,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +23,State-gov,287988,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +47,Self-emp-not-inc,122307,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +58,?,175017,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,25,United-States,<=50K +18,Private,170183,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,150812,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +24,Private,241185,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +58,Self-emp-inc,174864,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +35,Private,30529,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,301637,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,423222,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,60,United-States,>50K +43,Private,214781,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +21,Private,242912,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K +52,Private,191529,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,60,United-States,<=50K +24,Private,117363,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +22,Private,333158,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K +39,Private,193260,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,25,Mexico,<=50K +34,State-gov,278378,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,111394,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,102476,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +29,Private,26451,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +67,?,209137,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,210945,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,35,Haiti,<=50K +62,Local-gov,115023,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,53833,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +36,Private,150057,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +18,Private,128086,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K +25,Private,28473,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,155509,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Private,165315,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,?,<=50K +30,Private,171889,Prof-school,15,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +41,Local-gov,185057,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,277034,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,0,0,60,United-States,>50K +36,Private,166606,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,97453,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,54,United-States,<=50K +27,Private,136094,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,61855,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K +30,Private,182771,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,15,China,<=50K +47,Private,418961,Assoc-voc,11,Divorced,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +39,Private,106961,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +31,Private,81846,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +44,Private,105936,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,36425,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,595088,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,63,United-States,<=50K +38,Private,149018,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,229613,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,33521,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,70539,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,<=50K +53,State-gov,105728,HS-grad,9,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,28,United-States,>50K +31,Private,193215,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +18,Private,137363,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,104892,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,149427,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +19,State-gov,176634,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,183279,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,225775,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,202091,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,60,United-States,<=50K +36,Private,123151,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,168187,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +42,Federal-gov,33521,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,243678,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,164898,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,?,262280,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3781,0,40,United-States,<=50K +33,State-gov,290614,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,199265,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,207668,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +18,State-gov,30687,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +24,State-gov,27939,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,24,?,<=50K +17,Private,438996,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +48,Private,152915,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,?,186030,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +46,Local-gov,297759,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Private,171242,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +28,Private,206088,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,182792,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,167725,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,24,United-States,<=50K +43,Private,160674,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,194710,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,255027,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,204641,10th,6,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +20,State-gov,177787,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +29,Private,54932,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,>50K +54,Self-emp-not-inc,91506,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +34,Private,198634,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,227146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +59,Private,135647,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,55508,7th-8th,4,Divorced,Farming-fishing,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,174912,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,175925,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,157486,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +49,Local-gov,329144,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,44,United-States,>50K +67,?,81761,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +49,Self-emp-not-inc,102318,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +30,Federal-gov,266463,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +56,Federal-gov,107314,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Private,114158,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,124052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,144301,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,42,United-States,<=50K +28,Private,176683,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,70,United-States,>50K +23,Private,234663,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,178948,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K +37,Self-emp-not-inc,607848,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +39,Private,202937,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +32,Federal-gov,83413,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,>50K +26,Private,212798,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +57,Federal-gov,192258,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,112497,9th,5,Married-civ-spouse,Sales,Own-child,White,Male,0,0,50,United-States,>50K +30,Private,97521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +27,Private,160972,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,322931,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +22,Private,403519,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Local-gov,330174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,278155,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,39054,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +57,Private,170287,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +42,Private,336643,Assoc-voc,11,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,264166,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,45,Columbia,<=50K +44,Local-gov,433705,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K +28,Private,27044,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +42,Private,165599,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +26,Private,159759,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,385092,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +42,Private,188808,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,0,30,United-States,<=50K +30,Private,167476,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +21,State-gov,194096,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +59,Private,182460,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +21,?,102323,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +56,Private,232139,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,341741,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,12,United-States,<=50K +21,Private,206008,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,50,United-States,<=50K +48,Private,344415,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,37,United-States,>50K +35,State-gov,372130,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,27766,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Male,0,0,60,United-States,>50K +23,Private,140764,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +17,?,161259,10th,6,Never-married,?,Other-relative,White,Male,0,0,12,United-States,<=50K +41,Private,22201,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,>50K +35,Self-emp-inc,187046,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +53,Private,274276,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,341757,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,218542,HS-grad,9,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Local-gov,190020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,221436,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Cuba,>50K +39,Self-emp-not-inc,52187,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,158776,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,51543,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +17,Private,146329,12th,8,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K +31,Private,397467,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,105592,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K +39,Private,78171,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +46,State-gov,55377,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +31,Private,258932,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,80,Italy,<=50K +27,Private,38606,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,1504,45,United-States,<=50K +18,Private,219841,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +46,Private,156926,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +55,Private,160362,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +48,Private,192161,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,43,United-States,<=50K +53,Private,208570,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,26,United-States,<=50K +44,Self-emp-not-inc,182771,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,48,South,>50K +43,Private,151089,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,163002,HS-grad,9,Separated,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +56,Private,155657,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,20,Yugoslavia,<=50K +27,Private,217530,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +20,Private,244406,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +18,Local-gov,152182,10th,6,Never-married,Protective-serv,Own-child,White,Female,0,0,6,United-States,<=50K +34,Private,55717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,50,United-States,>50K +38,Private,201454,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Self-emp-inc,144371,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +55,Private,277034,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,462832,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,40,United-States,>50K +26,Private,200681,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +54,State-gov,119565,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,>50K +22,Private,192017,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +52,Local-gov,84808,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,100154,10th,6,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,169383,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +19,Without-pay,43887,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,10,United-States,<=50K +45,Private,54260,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,99,United-States,<=50K +53,Self-emp-not-inc,159876,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,3103,0,72,United-States,<=50K +46,Private,160474,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1590,43,United-States,<=50K +25,Private,476334,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +90,Private,52386,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +33,Private,83671,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +45,Private,172960,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K +47,Private,191957,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +38,Local-gov,40955,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +35,?,98080,Prof-school,15,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,4787,0,45,Japan,>50K +37,Private,175643,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +53,State-gov,197184,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +56,Private,187295,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +18,Private,40822,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +44,Private,228729,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,?,<=50K +50,Private,240496,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +26,Private,51961,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K +36,Private,174887,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,95855,11th,7,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,362259,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,30916,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +62,Private,153148,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,84,United-States,<=50K +46,Private,167915,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,45156,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,2174,0,41,United-States,<=50K +37,Private,98776,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,15,United-States,<=50K +27,Private,209801,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,?,<=50K +38,Private,183800,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,54595,12th,8,Never-married,Sales,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Private,79637,Bachelors,13,Never-married,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +50,Private,126566,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,233796,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,32,United-States,>50K +67,Local-gov,191800,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,6360,0,35,United-States,<=50K +34,Self-emp-not-inc,527162,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +19,Private,139466,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,64520,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +50,Private,97741,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +45,Local-gov,160173,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +17,Private,350995,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +59,?,182836,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +25,Private,143267,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +21,Private,346341,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,172175,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,153035,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +63,Private,200127,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Local-gov,204470,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +45,Private,353012,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,194342,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,57898,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,164707,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,?,<=50K +42,Private,269028,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,France,<=50K +56,Private,83922,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Private,160647,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Female,0,0,46,United-States,<=50K +69,Private,125437,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +42,Private,246011,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,<=50K +19,Private,216937,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Other,Female,0,0,60,Guatemala,<=50K +56,Self-emp-not-inc,66356,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,154981,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,50,United-States,>50K +61,Federal-gov,197311,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,301743,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,401118,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,50,United-States,>50K +39,Private,98776,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +35,Self-emp-not-inc,32528,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +27,Private,177119,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K +40,Self-emp-inc,193524,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +59,State-gov,192258,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,?,145917,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +42,Federal-gov,214838,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,30,United-States,>50K +59,Private,176011,Some-college,10,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,147239,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +38,Private,159179,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +53,Private,155963,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +20,Private,360457,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +54,Federal-gov,114674,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,95708,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +33,Local-gov,100734,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,55,United-States,<=50K +35,Private,188972,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,30,United-States,<=50K +22,Private,162667,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,Portugal,<=50K +45,Self-emp-not-inc,28497,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1485,70,United-States,>50K +29,Private,180758,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,346635,Masters,14,Divorced,Sales,Unmarried,White,Female,0,2339,60,United-States,<=50K +23,Private,46645,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,Private,203258,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +17,Private,134480,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,25,United-States,<=50K +35,Local-gov,85548,Some-college,10,Separated,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +25,Private,195994,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Guatemala,<=50K +42,State-gov,148316,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +42,Private,227466,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,40,United-States,<=50K +19,Private,68552,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +32,Private,252257,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +44,Private,30126,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,304353,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,>50K +47,Self-emp-not-inc,171968,Bachelors,13,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,60,Thailand,<=50K +24,Private,205839,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +30,State-gov,218640,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +42,Private,150568,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +19,Private,382738,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,138940,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,37,United-States,<=50K +26,Self-emp-not-inc,258306,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +25,Local-gov,190107,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,1719,16,United-States,<=50K +52,Private,152373,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,141875,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,79586,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,99999,0,40,?,>50K +32,Private,157289,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Private,184498,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,109684,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1741,35,United-States,<=50K +47,Private,199832,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,23545,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,175710,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +27,Private,52028,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,South,<=50K +61,Self-emp-not-inc,315977,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +47,Private,202322,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,251825,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Private,202115,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +56,Local-gov,216824,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +69,Private,145656,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +30,Private,137076,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +36,Private,152621,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +42,Self-emp-not-inc,27242,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +45,Federal-gov,358242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +39,Private,184117,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,20,United-States,>50K +26,Private,300290,11th,7,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +28,Local-gov,149991,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,42,United-States,>50K +31,Private,189759,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +32,Private,339482,5th-6th,3,Separated,Farming-fishing,Other-relative,White,Male,0,0,60,Mexico,<=50K +51,Private,100933,HS-grad,9,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,United-States,<=50K +29,Private,354558,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +38,Local-gov,162613,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,2258,60,United-States,<=50K +64,Private,285052,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,10,United-States,<=50K +26,State-gov,175044,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +68,Private,45508,5th-6th,3,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,22,United-States,<=50K +32,Private,173351,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +29,Private,173611,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +51,?,182543,1st-4th,2,Separated,?,Unmarried,White,Female,0,0,40,Mexico,<=50K +21,Private,143062,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +26,?,137951,10th,6,Separated,?,Other-relative,White,Female,0,0,40,Puerto-Rico,<=50K +33,Local-gov,293063,Bachelors,13,Married-spouse-absent,Prof-specialty,Other-relative,Black,Male,0,0,40,?,<=50K +26,Private,377754,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,152373,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2105,0,40,United-States,<=50K +31,Private,193477,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +29,Local-gov,277323,HS-grad,9,Never-married,Protective-serv,Unmarried,White,Male,0,0,45,United-States,<=50K +19,Private,69182,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,27,United-States,<=50K +51,Private,219599,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +45,Private,129371,9th,5,Separated,Other-service,Unmarried,Other,Female,0,0,40,Trinadad&Tobago,<=50K +20,Private,470875,HS-grad,9,Married-civ-spouse,Sales,Own-child,Black,Male,0,0,32,United-States,<=50K +40,Private,201734,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +43,Private,58447,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K +52,Local-gov,91689,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,166546,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,24,United-States,<=50K +24,Private,293324,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,219262,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Self-emp-not-inc,403391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,367749,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +24,Private,128487,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,State-gov,111363,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K +49,Private,240869,7th-8th,4,Never-married,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K +36,Private,163278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,416415,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,?,280030,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,Mexico,<=50K +46,Private,251243,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Local-gov,167159,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,70,United-States,>50K +29,Private,161857,HS-grad,9,Married-spouse-absent,Other-service,Not-in-family,Other,Female,0,0,40,Columbia,<=50K +37,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,?,190205,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +28,?,161290,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,112403,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,238726,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,164530,11th,7,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,20,United-States,<=50K +19,Private,456572,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,United-States,<=50K +31,Self-emp-not-inc,177675,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,246739,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +37,Private,102953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,?,224238,Some-college,10,Never-married,?,Own-child,White,Male,0,0,2,United-States,<=50K +46,Private,155489,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +51,Self-emp-not-inc,156802,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,60,United-States,>50K +50,Private,168212,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,45,United-States,>50K +38,Private,331395,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,3942,0,84,Portugal,<=50K +40,Local-gov,261497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K +58,Private,365511,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Other,Male,0,0,40,Mexico,<=50K +36,Private,187999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Local-gov,190350,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,35,United-States,<=50K +17,?,166759,12th,8,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,168262,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +39,State-gov,122011,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,5178,0,38,United-States,>50K +46,Private,165953,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +26,Private,375980,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,37,United-States,<=50K +40,Federal-gov,406463,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,State-gov,231472,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +60,Self-emp-not-inc,78913,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,69107,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +22,?,182387,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,12,Thailand,<=50K +31,Private,169002,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,55,United-States,<=50K +45,Private,229967,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,13550,0,50,United-States,>50K +34,Private,422836,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,Mexico,<=50K +27,State-gov,230922,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Scotland,<=50K +40,Private,195892,Some-college,10,Divorced,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K +68,Private,163346,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K +51,Private,82566,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,86505,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K +43,Private,178780,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +23,State-gov,173945,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,27,United-States,<=50K +48,Private,176810,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,23813,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,2885,0,30,United-States,<=50K +51,Self-emp-inc,210736,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,10520,0,40,United-States,>50K +32,Private,343789,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5013,0,55,United-States,<=50K +34,Private,113838,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +31,Local-gov,121055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,>50K +71,?,52171,7th-8th,4,Divorced,?,Unmarried,White,Male,0,0,45,United-States,<=50K +17,Private,566049,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,8,United-States,<=50K +37,Private,67433,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +26,Private,39014,12th,8,Married-civ-spouse,Priv-house-serv,Wife,Other,Female,0,0,40,Dominican-Republic,<=50K +17,Private,51939,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +34,Private,100669,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +46,Private,155659,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +33,Private,112847,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +41,Local-gov,32185,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +59,Private,138370,10th,6,Married-spouse-absent,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K +50,Self-emp-not-inc,172281,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +46,Private,180505,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +45,Private,168262,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,85126,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,113838,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,197457,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,1471,0,38,United-States,<=50K +28,Private,197905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,316589,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,336367,Assoc-acdm,12,Never-married,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +39,Self-emp-inc,143123,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2415,40,United-States,>50K +23,Private,209955,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,210013,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +37,Private,224541,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,275653,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Female,2977,0,40,Puerto-Rico,<=50K +45,Private,88061,11th,7,Married-spouse-absent,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,40,South,<=50K +43,Federal-gov,195897,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,40,United-States,>50K +49,Private,43206,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,>50K +37,Private,202950,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +26,Private,154093,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Private,112115,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,United-States,>50K +51,Private,355954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +24,Private,379418,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,286372,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,48087,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +32,Private,387270,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +21,Private,270043,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +39,Self-emp-not-inc,65738,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,United-States,>50K +33,Private,159888,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,278039,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +21,Private,265434,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +68,Self-emp-inc,52052,Assoc-voc,11,Widowed,Sales,Not-in-family,White,Female,25124,0,50,United-States,>50K +24,Private,208882,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +24,Private,229393,11th,7,Never-married,Farming-fishing,Unmarried,White,Male,2463,0,40,United-States,<=50K +23,Private,53513,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +40,Private,225193,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,63,United-States,<=50K +48,Private,166809,Bachelors,13,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +42,Self-emp-not-inc,175674,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +45,Federal-gov,368947,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +31,Private,194901,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +53,Private,203173,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,267431,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,55,United-States,<=50K +32,Private,111836,Some-college,10,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K +34,Private,198613,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,?,<=50K +41,Self-emp-inc,149102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +57,Local-gov,121111,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,130397,10th,6,Never-married,Farming-fishing,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +40,Private,212847,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2179,40,United-States,<=50K +17,Private,184198,11th,7,Never-married,Sales,Own-child,White,Female,0,0,13,United-States,<=50K +17,Private,121287,9th,5,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +82,Self-emp-inc,120408,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +40,Private,164678,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +26,Private,388812,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,35,United-States,<=50K +37,Private,294919,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,101684,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,36209,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,22,United-States,>50K +39,Private,123983,Bachelors,13,Divorced,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +36,Self-emp-not-inc,340001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,203828,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,183789,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,305619,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +63,Self-emp-not-inc,174181,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +59,Private,131869,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Self-emp-not-inc,43479,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,?,203126,9th,5,Never-married,?,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K +17,Private,118792,11th,7,Never-married,Sales,Own-child,White,Female,0,0,9,United-States,<=50K +28,Private,272913,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,Mexico,<=50K +45,Federal-gov,222011,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-inc,301007,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,197731,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,173736,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,?,182590,10th,6,Never-married,?,Not-in-family,White,Female,0,0,38,United-States,<=50K +59,Local-gov,93211,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,22,United-States,>50K +41,Private,24763,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,7443,0,40,United-States,<=50K +49,Local-gov,219021,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,48,United-States,>50K +37,Private,137229,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,>50K +31,Self-emp-not-inc,281030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,234108,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,46868,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,15,United-States,<=50K +20,?,162667,HS-grad,9,Never-married,?,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +51,Private,173291,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,305160,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +48,Private,212954,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +39,Local-gov,112284,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,164198,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,15024,0,45,United-States,>50K +41,Private,152958,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,145389,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,25,United-States,<=50K +54,Self-emp-inc,119570,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +40,Private,272343,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,Private,187720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,41,United-States,<=50K +50,Private,145409,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +42,Private,208726,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +34,Private,203488,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,330416,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,25803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,171150,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,82576,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,36,United-States,>50K +30,Private,329425,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,185452,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,201179,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,182268,Preschool,1,Married-spouse-absent,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,95763,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +48,Private,125892,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Poland,<=50K +21,Private,121407,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K +52,Private,373367,11th,7,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Local-gov,165982,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,165484,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +30,Private,156890,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,156763,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2829,0,40,United-States,<=50K +43,Private,244172,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,?,<=50K +36,Private,219814,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Guatemala,<=50K +42,Private,171841,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +28,Local-gov,168524,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,35,United-States,>50K +62,Private,205643,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +65,?,174904,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,102559,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +47,Private,60267,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +43,Private,388725,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,215712,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +44,Private,171722,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,39,United-States,<=50K +25,Private,193051,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K +21,Private,305446,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,146949,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,<=50K +21,Private,322144,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,75742,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,El-Salvador,>50K +64,?,380687,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,8,United-States,<=50K +55,Self-emp-not-inc,95149,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,<=50K +42,Private,68469,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Self-emp-not-inc,27653,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,410439,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,24,United-States,<=50K +28,Private,37821,Assoc-voc,11,Never-married,Sales,Unmarried,White,Female,0,0,55,?,<=50K +45,Private,228570,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,35,United-States,<=50K +21,Private,141453,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,88215,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,China,>50K +53,Private,48641,12th,8,Never-married,Other-service,Not-in-family,Other,Female,0,0,35,United-States,<=50K +45,Private,185385,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,341471,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,4,United-States,<=50K +41,Private,163322,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,36,United-States,<=50K +35,Private,99357,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,30,United-States,>50K +43,Self-emp-inc,602513,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Local-gov,287192,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,Mexico,<=50K +34,Private,215047,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +46,Federal-gov,97863,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,40,United-States,>50K +59,Private,308118,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +53,Private,137192,Bachelors,13,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,50,United-States,<=50K +33,Private,275369,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,Haiti,<=50K +45,Private,99971,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +48,Self-emp-inc,103713,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Private,253770,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,162205,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,72,United-States,>50K +46,Self-emp-not-inc,31267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,198146,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +23,Private,178207,Some-college,10,Never-married,Handlers-cleaners,Unmarried,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +21,Private,317175,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +53,Federal-gov,221791,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +61,Self-emp-inc,187124,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +58,State-gov,280519,HS-grad,9,Divorced,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,207568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +45,Local-gov,192684,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +39,Private,103260,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,White,Female,0,0,30,United-States,>50K +39,Private,191227,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,13550,0,50,United-States,>50K +48,Self-emp-inc,382242,Doctorate,16,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +41,Private,106900,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K +30,Private,48520,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2002,40,United-States,<=50K +50,Private,55527,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,45,United-States,<=50K +51,Self-emp-not-inc,246820,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,48,United-States,>50K +23,Private,33884,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,29762,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +47,Federal-gov,168109,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,<=50K +51,Private,207449,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +60,Self-emp-inc,189098,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,194259,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Local-gov,194630,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Local-gov,179681,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,37,United-States,<=50K +42,State-gov,136996,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,48,United-States,<=50K +32,Private,143604,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K +19,Private,243373,12th,8,Never-married,Sales,Other-relative,White,Male,1055,0,40,United-States,<=50K +34,Private,261799,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,45,United-States,>50K +48,Private,143281,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K +38,Private,185556,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Italy,<=50K +38,Private,111499,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +40,Self-emp-not-inc,280433,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,37314,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +38,Private,103408,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K +26,Private,270151,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,State-gov,96748,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +20,Private,164775,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,<=50K +49,Private,190319,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Philippines,<=50K +23,Private,213115,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +47,Private,156926,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Canada,>50K +43,Private,112967,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,35373,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +60,Self-emp-not-inc,220342,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,163167,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,404951,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,38,United-States,<=50K +39,Private,122032,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,143582,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,Other,Female,4101,0,35,United-States,<=50K +38,Private,108140,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,2202,0,45,United-States,<=50K +47,Private,251508,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,36,United-States,<=50K +50,Self-emp-not-inc,197054,Prof-school,15,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +64,Self-emp-not-inc,36960,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +35,Private,165930,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,?,178960,11th,7,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,214503,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +51,Private,110458,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,202125,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Self-emp-not-inc,284329,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +29,Private,192924,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,340917,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,2829,0,50,?,<=50K +37,Private,340614,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +20,Private,196678,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,266489,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +57,Private,61474,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +47,?,99127,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +27,Private,215955,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K +23,Self-emp-inc,215395,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Self-emp-inc,183898,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +48,Private,97176,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +40,Private,145160,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +51,Private,357949,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +59,Private,177120,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,288229,Some-college,10,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,Greece,<=50K +39,Private,509060,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,47932,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,103925,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +44,State-gov,183829,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +51,Private,138852,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,188186,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,20,Hungary,<=50K +22,Private,34616,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +19,Private,220819,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +31,Federal-gov,281540,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,47396,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,141350,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,331433,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,32,United-States,<=50K +40,Federal-gov,346532,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +21,Private,241367,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,10,United-States,<=50K +39,Private,216256,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Italy,>50K +40,Local-gov,153031,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,35,United-States,>50K +36,Private,116138,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,<=50K +18,Private,193166,9th,5,Never-married,Sales,Own-child,White,Female,0,0,42,United-States,<=50K +32,Self-emp-inc,275094,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,Mexico,>50K +50,Private,81548,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,167979,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +19,Private,67759,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,43,United-States,<=50K +53,Private,200190,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +49,Private,403112,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +40,Private,214891,Bachelors,13,Married-spouse-absent,Transport-moving,Own-child,Other,Male,0,0,45,?,<=50K +31,Private,142675,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,88500,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +35,Local-gov,145308,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +47,Local-gov,204377,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +43,Self-emp-not-inc,260696,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +51,Private,231181,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,21,United-States,<=50K +54,Private,260052,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +76,Local-gov,178665,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +33,Private,226267,7th-8th,4,Never-married,Sales,Not-in-family,White,Male,0,0,43,Mexico,<=50K +19,Private,111232,12th,8,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K +49,Private,87928,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +26,Private,212748,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,110677,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +49,Private,139268,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +24,Private,306779,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,65,United-States,<=50K +48,Private,318331,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +36,State-gov,143385,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,288273,12th,8,Separated,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K +31,Private,167725,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,48,Philippines,>50K +53,Private,94081,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +22,Private,194723,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +43,Private,163985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,189759,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,<=50K +53,State-gov,195922,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Federal-gov,54159,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +47,Local-gov,166863,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,104501,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,>50K +39,Private,210626,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,448026,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +17,Local-gov,170916,10th,6,Never-married,Protective-serv,Own-child,White,Female,0,1602,40,United-States,<=50K +53,Local-gov,283602,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +21,Private,189749,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,90934,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,64,Philippines,>50K +34,State-gov,253121,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,181776,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,162397,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +20,Private,70708,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +47,State-gov,103406,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,224658,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +26,Local-gov,213451,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,10,Jamaica,<=50K +53,Private,139671,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,36201,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,237713,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,2415,99,United-States,>50K +17,Local-gov,173497,11th,7,Never-married,Prof-specialty,Own-child,Black,Male,0,0,15,United-States,<=50K +46,Private,375606,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +34,Private,203488,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +45,Self-emp-not-inc,107231,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,France,<=50K +23,Private,216811,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +41,Private,288679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,105516,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,282972,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,4,United-States,<=50K +18,Self-emp-inc,117372,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +38,Private,112497,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +66,?,186032,Assoc-voc,11,Widowed,?,Not-in-family,White,Female,2964,0,30,United-States,<=50K +28,Private,192384,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +49,Private,43348,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +29,Private,181822,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Local-gov,216070,Masters,14,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,50,United-States,>50K +34,State-gov,112062,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,218551,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +25,Private,404616,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,169460,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,240081,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +22,Private,147655,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,90277,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,?,<=50K +49,Private,60751,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,194636,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,50,United-States,<=50K +37,Self-emp-not-inc,154641,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,2105,0,50,United-States,<=50K +39,Private,491000,Bachelors,13,Never-married,Exec-managerial,Other-relative,Black,Male,0,0,45,United-States,<=50K +33,Private,399088,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,186909,Masters,14,Married-civ-spouse,Sales,Wife,White,Female,0,1902,35,United-States,>50K +65,Private,105491,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +40,Private,34987,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,53,United-States,<=50K +26,?,167835,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +31,Private,288983,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,266070,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +71,Private,110380,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2467,52,United-States,<=50K +25,Local-gov,31873,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,294400,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +19,?,184308,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,30,United-States,<=50K +36,Self-emp-not-inc,175769,Prof-school,15,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +56,Private,182273,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,106541,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,138192,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,Private,196791,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +22,Private,223019,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +44,Private,109273,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +60,Self-emp-not-inc,95490,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +65,Private,149131,11th,7,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +44,Private,219155,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,England,>50K +53,Local-gov,82783,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,214858,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,170230,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +40,Self-emp-inc,209344,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,15,?,<=50K +35,Private,90406,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,299813,9th,5,Married-civ-spouse,Sales,Wife,White,Female,0,0,70,Dominican-Republic,<=50K +28,Private,188064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Canada,<=50K +53,Private,246117,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +26,Private,132749,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,45,United-States,<=50K +28,Local-gov,201099,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Female,0,0,40,United-States,<=50K +27,Private,97490,Some-college,10,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,221252,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Female,0,0,8,United-States,<=50K +26,Private,116991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Private,161691,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +34,Private,107793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,>50K +50,Self-emp-inc,194514,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,Trinadad&Tobago,<=50K +30,Private,278502,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,62,United-States,<=50K +47,Private,343742,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +27,?,204074,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Federal-gov,31965,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,143604,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,29,?,<=50K +35,Private,174308,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,162551,12th,8,Married-civ-spouse,Sales,Wife,Asian-Pac-Islander,Female,0,0,50,?,<=50K +39,Self-emp-inc,372525,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +30,Private,75167,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +39,Private,176296,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,1887,40,United-States,>50K +19,Private,93518,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +25,?,126797,HS-grad,9,Married-spouse-absent,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,25124,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +21,Private,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K +30,?,58798,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,44,United-States,<=50K +25,Self-emp-not-inc,21472,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K +32,Private,90969,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +26,Private,149734,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Female,0,1594,40,United-States,<=50K +42,Private,52849,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,106347,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,47,United-States,<=50K +48,Private,199735,Bachelors,13,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,44,Germany,<=50K +24,Private,488541,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +46,Private,403911,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +53,Private,172991,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +36,Federal-gov,210945,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,<=50K +34,Private,157446,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K +25,Private,109390,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,70,United-States,<=50K +33,Private,134886,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,99999,0,30,United-States,>50K +45,Private,144579,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Federal-gov,203488,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,202871,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +33,Private,175412,9th,5,Divorced,Craft-repair,Unmarried,White,Male,114,0,55,United-States,<=50K +44,Private,336906,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,177596,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Puerto-Rico,>50K +30,Private,79448,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,10,United-States,<=50K +32,Local-gov,191731,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,?,233014,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +29,Private,133937,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +20,Private,219211,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +35,State-gov,94529,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,247547,HS-grad,9,Separated,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K +29,Private,29361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,166851,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +43,Federal-gov,197069,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Philippines,>50K +33,Private,153588,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,151369,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +42,Private,174112,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,520033,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +35,State-gov,194828,Some-college,10,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +32,?,216908,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +22,Private,126613,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +61,Private,26254,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,54042,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,2463,0,35,United-States,<=50K +24,Private,67804,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +58,Local-gov,53481,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +42,Private,412379,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,220187,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +26,?,256141,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,268222,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +59,Private,99131,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +65,Self-emp-not-inc,115498,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3818,0,10,United-States,<=50K +57,Private,317847,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,2824,50,United-States,>50K +36,Private,98389,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,44,United-States,>50K +42,Private,173704,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K +18,?,211177,12th,8,Never-married,?,Other-relative,Black,Male,0,0,20,United-States,<=50K +18,Private,115443,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,65078,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,24896,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +19,Private,184710,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,30,United-States,<=50K +28,Private,410450,Bachelors,13,Divorced,Other-service,Unmarried,White,Female,0,0,48,England,>50K +37,Private,83893,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,113309,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,160625,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,47,United-States,<=50K +17,Local-gov,340043,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +37,Local-gov,48976,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,45,United-States,<=50K +29,State-gov,243875,Assoc-voc,11,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,554206,HS-grad,9,Separated,Transport-moving,Not-in-family,Black,Male,0,0,20,United-States,<=50K +36,Private,361888,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +37,Self-emp-not-inc,205359,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,15,United-States,<=50K +47,State-gov,167281,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,35663,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,357437,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,390856,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,Mexico,<=50K +33,Federal-gov,331615,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K +54,Private,202415,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,180032,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +40,Private,77247,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +40,Local-gov,101795,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,42,United-States,<=50K +35,Private,272019,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2057,40,United-States,<=50K +32,Private,198068,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,199326,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,178841,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,136951,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +26,Self-emp-inc,109240,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +35,Self-emp-not-inc,128876,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,103358,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,India,<=50K +43,Private,354408,12th,8,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +32,Private,206051,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,35,United-States,<=50K +45,Private,155659,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +48,Private,143299,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +31,Private,252210,5th-6th,3,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +20,?,129240,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,398918,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Self-emp-not-inc,240612,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +22,Private,429346,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,United-States,<=50K +19,Private,123718,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,455379,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,63,United-States,>50K +23,Private,376416,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +24,Self-emp-inc,234663,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,282142,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +45,State-gov,208049,HS-grad,9,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +88,Private,68539,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,126501,11th,7,Never-married,Adm-clerical,Own-child,Amer-Indian-Eskimo,Female,0,0,15,South,<=50K +24,Private,186452,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +84,?,127184,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +48,Private,165267,10th,6,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,124733,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +31,Self-emp-inc,149726,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +58,Private,41374,HS-grad,9,Widowed,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +35,Local-gov,329759,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,212433,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +36,Private,185099,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +47,Local-gov,126754,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,122497,9th,5,Widowed,Other-service,Unmarried,Black,Male,0,0,52,?,<=50K +30,Private,118056,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +30,Local-gov,200892,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,?,200790,12th,8,Married-civ-spouse,?,Other-relative,White,Female,15024,0,40,United-States,>50K +30,Self-emp-inc,84119,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,43,United-States,<=50K +23,Local-gov,197918,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,150533,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +52,Private,443742,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Private,104423,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,169133,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +21,Private,185551,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,36,United-States,<=50K +60,Private,174486,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,State-gov,50468,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,34,United-States,>50K +24,Private,196943,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,120691,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,25,United-States,<=50K +60,State-gov,198815,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,Mexico,<=50K +64,Private,22186,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K +39,Self-emp-inc,188069,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Private,233149,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +51,Private,138358,10th,6,Divorced,Craft-repair,Not-in-family,Black,Female,0,0,35,United-States,<=50K +25,Private,338013,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,?,332666,10th,6,Never-married,?,Own-child,White,Female,0,0,4,United-States,<=50K +37,Private,166339,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +74,Self-emp-not-inc,392886,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Female,0,0,14,United-States,<=50K +26,State-gov,141838,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +23,Private,520759,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,30,United-States,<=50K +57,Self-emp-inc,37345,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +20,Private,387779,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K +37,Private,201531,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,123598,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,380614,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +40,Private,83859,HS-grad,9,Widowed,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +50,State-gov,24790,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,266820,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,35,Mexico,<=50K +44,Private,85440,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,421837,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,404062,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,15,United-States,>50K +38,Private,224566,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +54,Private,294991,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,189610,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,52,United-States,<=50K +37,Private,219141,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7688,0,40,United-States,>50K +46,Federal-gov,20956,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +38,Private,70995,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,215232,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,10,United-States,<=50K +71,?,178295,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,3,United-States,<=50K +35,Private,56201,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +62,Private,98076,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,351810,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Cuba,<=50K +56,Self-emp-not-inc,144351,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,90,United-States,<=50K +30,State-gov,137613,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,20,Taiwan,<=50K +17,Private,54257,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +18,Self-emp-not-inc,230373,11th,7,Never-married,Other-service,Own-child,White,Female,594,0,4,United-States,<=50K +35,Private,98389,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,184135,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,1,United-States,<=50K +46,Self-emp-not-inc,140121,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,24504,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,129528,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,415578,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,97142,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,201328,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,256620,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Federal-gov,96854,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,State-gov,141858,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,75,United-States,>50K +51,Federal-gov,20795,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,40,United-States,>50K +53,Private,95519,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +47,Private,112791,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,291407,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Private,239659,Some-college,10,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,70,United-States,<=50K +28,Private,183151,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +58,?,97634,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,143807,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,186934,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,170065,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,108328,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,6849,0,50,United-States,<=50K +56,State-gov,83696,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,38,?,<=50K +21,Private,204596,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +56,?,32604,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +56,Private,193453,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,65,United-States,>50K +45,Private,148995,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,40,United-States,>50K +20,Private,85041,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +62,Local-gov,140851,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +24,Private,196280,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +52,Federal-gov,38973,Bachelors,13,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,39182,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,198841,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +40,Private,694812,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,247444,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Nicaragua,<=50K +41,Private,294270,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +59,Private,195820,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Private,329426,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,37,United-States,<=50K +19,?,174871,Some-college,10,Never-married,?,Own-child,White,Male,0,0,23,United-States,<=50K +41,Private,116103,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,206903,Bachelors,13,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K +50,Private,217577,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,337693,5th-6th,3,Never-married,Other-service,Own-child,White,Female,0,0,40,El-Salvador,<=50K +38,Private,204501,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +30,Private,169186,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +48,Private,109421,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +39,Local-gov,267893,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,Black,Male,7298,0,40,United-States,>50K +40,Private,200479,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,221317,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +59,Self-emp-not-inc,132925,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +31,?,283531,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +34,Private,170769,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +47,Self-emp-inc,186410,Prof-school,15,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,>50K +64,Self-emp-inc,307786,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +29,Private,380560,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +38,Local-gov,147258,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,212894,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,40,United-States,>50K +49,Private,124356,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +53,Private,98791,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,216473,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +70,?,135339,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +38,Private,107303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,152744,Bachelors,13,Divorced,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,South,<=50K +34,Self-emp-not-inc,100079,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,55,India,<=50K +24,Private,117779,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,Hungary,<=50K +23,Private,197613,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,411068,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,192984,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Private,66356,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,4865,0,40,United-States,<=50K +33,Federal-gov,137184,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K +63,Self-emp-not-inc,231105,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,35,United-States,>50K +18,Local-gov,146586,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,60,United-States,<=50K +32,Private,32406,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,578701,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,?,<=50K +19,Private,206777,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Local-gov,133495,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,34722,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,>50K +38,Self-emp-not-inc,133299,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,24967,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,47,United-States,<=50K +35,Self-emp-not-inc,171968,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +22,Private,412156,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,51290,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,198265,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +23,Private,293565,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,226288,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Self-emp-inc,110445,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,160634,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,174242,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,390316,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +18,Private,298860,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +65,Private,171584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,232664,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +64,Private,63676,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +68,Private,170376,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,175964,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Federal-gov,422013,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,3683,40,United-States,<=50K +35,Private,105813,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +50,Federal-gov,306707,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,12,United-States,<=50K +45,Private,177543,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,28,United-States,<=50K +43,Private,320277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,129495,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Private,257042,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,1506,0,40,United-States,<=50K +45,Private,275995,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +20,?,86318,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,280440,Assoc-acdm,12,Never-married,Tech-support,Unmarried,White,Female,0,0,45,United-States,<=50K +26,Private,371556,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,408229,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +47,Private,149337,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,60,United-States,<=50K +34,Private,209297,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,2001,40,United-States,<=50K +53,Private,355802,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +32,Private,165949,Bachelors,13,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,1590,42,United-States,<=50K +44,Self-emp-not-inc,112507,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,462869,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +35,Private,413648,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,36,United-States,<=50K +34,Private,29235,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,149823,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,39530,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,4,United-States,<=50K +23,Private,197387,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,37,Mexico,<=50K +56,Local-gov,255406,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,43764,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +38,Private,168322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,278322,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,115813,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,57,United-States,<=50K +38,Self-emp-not-inc,184456,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,3464,0,80,Italy,<=50K +42,Private,289636,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,46,United-States,<=50K +48,Private,101684,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,133425,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +40,Private,349405,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,<=50K +53,Private,124076,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,99999,0,37,United-States,>50K +75,Self-emp-not-inc,165968,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +39,Private,185099,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +46,Federal-gov,268281,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,154949,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +34,Private,176711,HS-grad,9,Divorced,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,165064,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,213750,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Self-emp-not-inc,77132,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +21,Private,109667,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,162164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +40,Private,219591,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +20,?,327462,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Private,236943,9th,5,Divorced,Farming-fishing,Not-in-family,Black,Male,0,0,20,United-States,<=50K +40,Private,89226,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +20,Private,124751,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,24,United-States,<=50K +48,Local-gov,144122,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +27,Private,98769,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,Federal-gov,170066,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Self-emp-inc,162439,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,98,United-States,>50K +47,Private,22900,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Local-gov,102130,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,?,215743,11th,7,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,381583,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,45,United-States,>50K +56,Local-gov,198277,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,243178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +38,Local-gov,177305,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,<=50K +19,Private,167149,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +24,Private,270872,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,594,0,40,?,<=50K +31,Private,382368,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,Germany,<=50K +44,Local-gov,277144,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K +21,State-gov,145651,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,1602,12,United-States,<=50K +41,Private,171351,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,265099,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +23,Private,105617,9th,5,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +37,Local-gov,217689,Some-college,10,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,0,0,32,United-States,<=50K +46,?,81136,Assoc-voc,11,Divorced,?,Unmarried,White,Male,0,0,30,United-States,<=50K +43,Self-emp-not-inc,73883,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +31,Private,339482,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +40,Private,326232,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K +27,Private,106316,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,12,United-States,<=50K +64,Local-gov,198728,Some-college,10,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,126501,Assoc-voc,11,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,233802,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,204501,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Canada,>50K +28,Private,208249,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,24,United-States,<=50K +42,Private,188693,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,93272,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,159299,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +21,?,303588,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +46,Private,35136,10th,6,Divorced,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +18,Private,139576,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,252355,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,27,United-States,<=50K +44,Self-emp-not-inc,83812,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +36,Private,89718,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +65,Private,222810,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,456618,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K +21,Private,296158,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +41,Private,162140,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,2339,40,United-States,<=50K +28,Private,36601,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +27,Private,195337,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,State-gov,282721,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,12,United-States,<=50K +40,Private,206049,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,223392,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +40,Private,27821,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,2829,0,40,United-States,<=50K +37,Private,131827,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Private,549413,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +34,Private,69491,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,193755,Assoc-acdm,12,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,598802,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +72,Local-gov,259762,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2290,0,10,United-States,<=50K +19,Private,266255,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,32954,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +40,Private,291808,HS-grad,9,Divorced,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,190728,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,59184,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Private,196456,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,147989,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +50,Private,195784,12th,8,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,202214,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K +40,Self-emp-inc,225165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,54825,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,188905,5th-6th,3,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Mexico,<=50K +17,Private,132636,11th,7,Never-married,Transport-moving,Own-child,White,Female,0,0,16,United-States,<=50K +42,Local-gov,228320,7th-8th,4,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,415500,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,254247,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,?,<=50K +43,Private,255635,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K +46,Private,96080,9th,5,Separated,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +18,?,78181,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +50,Local-gov,339547,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,>50K +47,Self-emp-not-inc,126500,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +31,Private,511289,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,2907,0,99,United-States,<=50K +33,Private,159574,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,224105,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +59,Self-emp-not-inc,128105,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +39,Local-gov,89508,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +29,Private,370242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,67257,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +24,Private,62952,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,111058,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,1980,40,United-States,<=50K +30,Private,29235,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +52,State-gov,101119,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,140516,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,159888,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +19,?,45643,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +23,Private,166371,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,60,United-States,<=50K +37,State-gov,160910,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +25,State-gov,257064,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,38,United-States,<=50K +49,Self-emp-not-inc,181307,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K +30,Private,83253,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +40,Private,128700,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,243010,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,Other,Male,0,0,32,United-States,<=50K +35,Self-emp-not-inc,37778,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,3103,0,55,United-States,<=50K +24,Private,132320,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +32,Private,234755,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +35,Private,142616,HS-grad,9,Separated,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +20,Private,148509,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,State-gov,240738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +25,Private,32276,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,28,United-States,<=50K +50,Local-gov,163921,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,464103,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +49,?,271346,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,15024,0,60,United-States,>50K +30,Local-gov,327825,HS-grad,9,Divorced,Protective-serv,Own-child,White,Female,0,0,32,United-States,<=50K +37,Private,267085,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,266945,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,3137,0,40,El-Salvador,<=50K +20,Private,234663,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +49,Self-emp-not-inc,189123,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,50,United-States,<=50K +55,Private,104996,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +61,Private,101265,12th,8,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,40,Italy,<=50K +22,Private,184975,HS-grad,9,Married-spouse-absent,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K +23,Private,246965,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,12,United-States,<=50K +43,Private,227065,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,4650,0,40,United-States,<=50K +39,Private,301867,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,24,Philippines,<=50K +21,Private,185948,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +52,Self-emp-inc,134854,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,281030,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,4064,0,40,United-States,<=50K +42,Private,126701,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,9562,0,45,United-States,>50K +50,Self-emp-not-inc,95949,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +51,Self-emp-not-inc,88528,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,99,United-States,<=50K +47,Private,24723,10th,6,Divorced,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,45,United-States,<=50K +49,?,171411,9th,5,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,184581,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Federal-gov,100067,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,182863,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Never-worked,462294,Some-college,10,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +61,Private,85434,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +72,Private,158092,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,104844,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +54,Self-emp-inc,304570,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K +47,?,89806,Some-college,10,Divorced,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,35,United-States,<=50K +39,Private,106183,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Female,6849,0,40,United-States,<=50K +24,Private,89347,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,157236,Some-college,10,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,40,Poland,<=50K +19,Private,261259,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +20,Private,286166,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +23,Private,122272,HS-grad,9,Never-married,Craft-repair,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,248739,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,53,United-States,>50K +20,Private,224238,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +62,Private,138157,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,12,United-States,<=50K +25,Private,148460,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,4416,0,40,Puerto-Rico,<=50K +67,Private,236627,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,2,United-States,<=50K +37,Local-gov,191364,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,France,>50K +36,Private,353524,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Female,1831,0,40,United-States,<=50K +38,Private,391040,Assoc-voc,11,Separated,Tech-support,Unmarried,White,Female,0,0,20,United-States,<=50K +23,Private,134997,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K +28,Private,392487,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +25,Private,216724,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,174395,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,United-States,>50K +63,Private,383058,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K +60,Self-emp-not-inc,96073,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +31,Self-emp-inc,103435,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,96718,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +37,Private,178948,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,45,United-States,>50K +51,Private,173987,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,34419,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +27,Private,224849,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,249857,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,340458,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,427422,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,2377,25,United-States,>50K +19,?,440417,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,175643,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +35,Private,297485,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,232954,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,326330,Some-college,10,Divorced,Exec-managerial,Own-child,White,Female,1831,0,40,United-States,<=50K +25,Private,109419,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,127768,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,32,United-States,>50K +41,Private,252986,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +20,Private,380544,Assoc-acdm,12,Never-married,Transport-moving,Own-child,White,Male,0,0,20,United-States,<=50K +52,Private,306108,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,232855,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,37,United-States,<=50K +44,Private,130126,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +50,Private,194231,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K +49,Self-emp-inc,197038,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +36,?,168223,Bachelors,13,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +71,State-gov,26109,Prof-school,15,Married-civ-spouse,Other-service,Husband,White,Male,0,0,28,United-States,<=50K +20,Private,285671,HS-grad,9,Never-married,Other-service,Other-relative,Black,Male,0,0,25,United-States,<=50K +20,Private,153583,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,?,<=50K +59,Self-emp-inc,103948,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +41,Private,439919,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,3411,0,40,Mexico,<=50K +38,Private,40319,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,42,United-States,<=50K +55,Local-gov,159028,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,98675,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +45,Private,90758,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +43,Self-emp-not-inc,75435,HS-grad,9,Divorced,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +19,Private,219189,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +33,Private,203463,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +63,Private,187635,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,154641,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,8614,0,50,United-States,>50K +34,Private,27153,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,150324,Assoc-acdm,12,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +21,Private,83704,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,176262,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,White,Female,0,0,36,United-States,<=50K +20,Private,179423,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,8,United-States,<=50K +45,Private,168038,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +59,Private,108765,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +58,Private,146477,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,Greece,>50K +66,Local-gov,188220,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,>50K +37,Private,292855,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,35,United-States,>50K +29,Private,114870,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,77723,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +39,Private,284166,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +57,Private,133902,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +57,Private,191318,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-inc,67794,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +44,Self-emp-inc,357679,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,15024,0,65,United-States,>50K +56,Private,117872,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,55929,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +22,?,165065,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Italy,<=50K +26,Self-emp-not-inc,34307,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +33,Private,246038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,147258,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +45,Private,329144,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +56,Local-gov,52953,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,1669,38,United-States,<=50K +23,Private,216181,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,36,Iran,<=50K +23,Private,391171,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,25,United-States,<=50K +35,Local-gov,223242,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,103925,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,32,United-States,>50K +45,Private,38240,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,148444,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +56,State-gov,110257,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,101345,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,268098,12th,8,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,36,United-States,<=50K +21,?,369084,Some-college,10,Never-married,?,Other-relative,White,Male,0,0,10,United-States,<=50K +31,Private,288825,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K +20,Private,162688,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,38,United-States,<=50K +17,?,48751,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +44,Federal-gov,184099,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +19,Private,307496,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,23,United-States,<=50K +71,?,176986,HS-grad,9,Widowed,?,Unmarried,White,Male,0,0,24,United-States,<=50K +23,Private,267955,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,283969,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Mexico,<=50K +29,State-gov,204516,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +33,Private,167771,Some-college,10,Separated,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Private,345073,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,48,United-States,>50K +21,?,380219,Some-college,10,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,306156,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +70,Self-emp-not-inc,37203,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,9386,0,30,United-States,>50K +19,Private,185097,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,37,United-States,<=50K +29,Private,144808,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +34,Private,187203,Assoc-acdm,12,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +26,Private,125089,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,289458,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,144798,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,?,172152,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,25,Taiwan,<=50K +28,Private,207513,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,48,United-States,<=50K +24,?,164574,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +76,Private,199949,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,20051,0,50,United-States,>50K +19,Private,213024,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,213140,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +24,Self-emp-not-inc,83374,Some-college,10,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,30,United-States,>50K +37,Private,192939,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,424494,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,215243,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,42,United-States,<=50K +40,Private,30682,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +20,Private,306639,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +23,Local-gov,218678,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,219130,Some-college,10,Never-married,Other-service,Not-in-family,Other,Female,0,0,40,United-States,<=50K +64,Private,180624,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,White,Female,0,0,30,United-States,<=50K +53,Local-gov,200190,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,United-States,>50K +28,Private,194472,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +52,Local-gov,205767,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +28,Private,249870,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,<=50K +31,Private,211242,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +77,Private,149912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,10,United-States,<=50K +22,Private,85389,HS-grad,9,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +17,?,806316,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +38,Private,329980,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +45,?,236612,11th,7,Divorced,?,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Local-gov,249214,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Private,257126,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +53,Local-gov,204397,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,291979,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,138667,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +57,Federal-gov,42298,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,40,United-States,>50K +39,Private,375452,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,48,United-States,>50K +30,Private,94413,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +31,Federal-gov,166626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +39,State-gov,326566,Some-college,10,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +30,Private,165503,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,65,United-States,<=50K +48,Private,102597,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,44,United-States,<=50K +62,?,113234,Masters,14,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +39,Private,177277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +34,Private,198103,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,1980,40,United-States,<=50K +45,Private,260490,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +32,Private,237478,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Federal-gov,36885,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +17,Private,166242,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +19,?,158603,10th,6,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K +25,Private,274228,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,84,United-States,<=50K +42,Private,185145,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,57,United-States,<=50K +66,Private,28367,Bachelors,13,Married-civ-spouse,Priv-house-serv,Other-relative,White,Male,0,0,99,United-States,<=50K +63,Self-emp-not-inc,28612,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,70,United-States,<=50K +43,Private,191429,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +26,Private,459548,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,Mexico,<=50K +23,Private,65481,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +39,Private,186130,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,Self-emp-inc,350759,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,359678,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,48,United-States,<=50K +35,Private,220595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,29599,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,State-gov,299153,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +46,Private,75256,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,143583,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +31,State-gov,207505,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,70,United-States,>50K +41,Private,308550,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,60,United-States,<=50K +50,Private,145717,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +36,Private,334366,11th,7,Separated,Exec-managerial,Not-in-family,White,Female,0,0,32,United-States,<=50K +31,?,76198,HS-grad,9,Separated,?,Own-child,White,Female,0,0,20,United-States,<=50K +45,Self-emp-not-inc,155489,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +50,Private,197322,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,194259,7th-8th,4,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +40,Private,346189,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +55,Private,98361,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +64,?,178556,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,56,United-States,>50K +51,Self-emp-inc,162943,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,19302,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +56,State-gov,67662,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,<=50K +35,Private,126675,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +55,Self-emp-not-inc,278228,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +30,Private,169152,HS-grad,9,Never-married,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,204052,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,215392,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +43,Self-emp-inc,83348,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +24,Local-gov,196816,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,541343,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +33,Local-gov,55921,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,70,United-States,<=50K +32,Private,251701,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +29,Federal-gov,119848,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,160572,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,47,United-States,<=50K +18,Private,25837,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,15,United-States,<=50K +20,Private,236592,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +45,State-gov,199326,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +22,Private,341610,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,35,?,<=50K +45,Private,175958,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,198965,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,193537,7th-8th,4,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,0,35,Puerto-Rico,<=50K +24,Private,438839,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,298227,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,35,United-States,<=50K +28,Private,271466,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +23,Private,335570,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +21,Private,206891,7th-8th,4,Never-married,Farming-fishing,Own-child,White,Female,0,0,38,United-States,<=50K +23,Private,162551,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +45,Private,145637,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +41,Private,101290,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Federal-gov,229376,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +38,Private,439592,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Private,161141,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +70,Private,304570,Bachelors,13,Widowed,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,32,Philippines,<=50K +24,Private,103277,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,2597,0,40,United-States,<=50K +28,Local-gov,407672,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,73928,Assoc-voc,11,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +83,Self-emp-inc,240150,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,20051,0,50,United-States,>50K +69,Private,230417,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,China,>50K +37,Private,260093,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,96020,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,104421,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +71,Private,152307,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,45,United-States,>50K +56,State-gov,93415,HS-grad,9,Widowed,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +27,Local-gov,282664,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,45,?,<=50K +42,Self-emp-not-inc,269733,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,80,United-States,>50K +21,Private,202871,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,44,United-States,<=50K +29,Private,169683,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,271603,7th-8th,4,Never-married,Other-service,Not-in-family,White,Male,0,0,24,?,<=50K +32,Private,340917,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +31,Private,329874,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,43770,Some-college,10,Separated,Other-service,Not-in-family,White,Female,4650,0,72,United-States,<=50K +55,State-gov,120781,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +48,Private,138069,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +58,Self-emp-not-inc,33309,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,80,United-States,<=50K +23,Private,76432,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,State-gov,277635,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +49,Local-gov,123088,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,46,United-States,<=50K +51,Private,57698,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,181820,HS-grad,9,Separated,Craft-repair,Own-child,White,Male,0,0,53,United-States,<=50K +40,Self-emp-not-inc,98985,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,50,United-States,<=50K +59,Private,98350,HS-grad,9,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,China,<=50K +47,Private,125120,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,243409,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,58972,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,1506,0,40,United-States,<=50K +43,Private,62857,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +40,Private,283174,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +48,Private,107373,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +29,Private,201155,9th,5,Never-married,Sales,Not-in-family,White,Female,0,0,48,United-States,<=50K +48,Private,187505,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +37,Private,61778,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,223648,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,4101,0,48,United-States,<=50K +28,Private,149652,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +56,Private,170324,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Trinadad&Tobago,<=50K +45,Private,165937,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +60,State-gov,114060,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +53,State-gov,58913,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +37,State-gov,378916,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,241885,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,224421,Assoc-voc,11,Married-AF-spouse,Farming-fishing,Husband,White,Male,0,0,44,United-States,>50K +31,?,213771,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,36,United-States,<=50K +39,Private,315565,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,Cuba,<=50K +31,Local-gov,153005,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Private,98211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +17,Private,198606,11th,7,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,16,United-States,<=50K +19,Private,260333,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,219510,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,32,United-States,<=50K +62,Private,266624,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,6418,0,40,United-States,>50K +34,Private,136862,1st-4th,2,Never-married,Other-service,Other-relative,White,Female,0,0,40,Guatemala,<=50K +47,Self-emp-inc,215620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +58,Private,187067,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,62,Canada,<=50K +23,Private,325921,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +33,Private,268127,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +76,Private,142535,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,6,United-States,<=50K +40,Private,177083,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +28,Private,77009,7th-8th,4,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +41,Private,306405,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +46,Local-gov,303918,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,96,United-States,>50K +22,Federal-gov,262819,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,49087,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,53833,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Private,1033222,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,8614,0,40,United-States,>50K +22,Private,81145,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Private,215479,Some-college,10,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,43,United-States,<=50K +29,Private,113464,HS-grad,9,Never-married,Transport-moving,Other-relative,Other,Male,0,0,40,Dominican-Republic,<=50K +60,Private,109530,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,40,United-States,>50K +72,Federal-gov,217864,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-inc,117721,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +19,Private,199484,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +25,Private,248851,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,116968,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Private,366618,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +17,Private,240143,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +59,?,424468,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +69,?,320280,Some-college,10,Never-married,?,Not-in-family,White,Male,1848,0,1,United-States,<=50K +25,Private,120238,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,2885,0,43,United-States,<=50K +50,?,194186,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,247053,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,180599,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +29,Local-gov,190330,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +29,State-gov,199450,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Male,0,0,40,United-States,<=50K +32,Local-gov,199539,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +17,?,94366,10th,6,Never-married,?,Other-relative,White,Male,0,0,6,United-States,<=50K +50,Self-emp-not-inc,29231,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +43,Private,33126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,102085,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,212064,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +54,State-gov,166774,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,>50K +65,Private,95303,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,?,379768,HS-grad,9,Never-married,?,Own-child,Other,Female,0,0,40,United-States,<=50K +70,Self-emp-inc,247383,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +53,Private,229465,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +37,Private,135436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +21,Private,180052,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +20,Private,214387,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +47,State-gov,149337,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,38,United-States,<=50K +26,Private,208326,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3942,0,45,United-States,<=50K +31,Private,34374,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Self-emp-not-inc,58683,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,403037,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,32365,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +49,Private,155489,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +33,Self-emp-inc,289886,HS-grad,9,Never-married,Other-service,Unmarried,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +30,Federal-gov,54684,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,?,<=50K +19,Private,101549,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +48,Self-emp-inc,51579,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +41,Private,40151,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +29,Private,244721,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,>50K +47,Local-gov,228372,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +53,Local-gov,236873,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,250249,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +71,Private,93202,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +29,Private,176723,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +43,Local-gov,175526,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,91842,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +52,Private,71768,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Private,181220,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Private,204516,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Self-emp-not-inc,89172,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,<=50K +37,Federal-gov,143547,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,310889,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Local-gov,150324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,216472,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +64,Private,212838,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +45,Private,168283,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,187702,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +19,Private,60661,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,52,United-States,<=50K +54,Private,115284,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,>50K +61,Self-emp-inc,98350,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +18,Private,195372,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +62,?,81578,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +33,Private,111567,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,244572,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K +54,Private,230919,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,282604,Some-college,10,Married-civ-spouse,Protective-serv,Other-relative,White,Male,0,0,24,United-States,<=50K +54,Private,320196,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,Germany,<=50K +42,Private,201466,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +51,Federal-gov,254211,Masters,14,Widowed,Sales,Unmarried,White,Male,0,0,50,El-Salvador,>50K +41,Private,599629,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,>50K +47,Local-gov,219632,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,1408,40,United-States,<=50K +31,State-gov,161631,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,202373,Assoc-voc,11,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +52,Private,169549,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,127185,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +18,Private,184277,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +58,Private,119751,HS-grad,9,Married-civ-spouse,Priv-house-serv,Other-relative,Asian-Pac-Islander,Female,0,0,60,Philippines,<=50K +23,Private,294701,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,26842,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +43,State-gov,114537,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,126386,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,163787,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,98211,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,175509,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +48,Private,159854,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-inc,120920,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,187551,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +41,State-gov,27305,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +35,Private,216711,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +47,Local-gov,218596,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,280292,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K +40,Private,200496,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,78090,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +23,Private,118693,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,203488,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +27,Local-gov,172091,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +32,Private,113364,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +72,Self-emp-not-inc,139889,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,74,United-States,<=50K +43,Local-gov,301638,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,40,United-States,<=50K +32,Private,110279,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +53,Private,242859,Some-college,10,Separated,Adm-clerical,Own-child,White,Male,0,0,40,Cuba,<=50K +18,Private,132986,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +38,Private,254439,10th,6,Widowed,Transport-moving,Unmarried,Black,Male,114,0,40,United-States,<=50K +41,Federal-gov,187462,Assoc-voc,11,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,264961,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +70,?,148065,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,>50K +46,Self-emp-inc,200949,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,50,?,<=50K +47,Private,47247,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +56,Local-gov,571017,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,15,United-States,<=50K +28,Private,416577,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,2829,0,40,United-States,<=50K +55,State-gov,296991,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +50,State-gov,45961,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,6849,0,40,United-States,<=50K +47,Private,302711,11th,7,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-inc,50356,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,199336,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,341178,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,44,Mexico,<=50K +42,Federal-gov,70240,Some-college,10,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +46,Private,229394,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,390368,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,99,United-States,>50K +55,Private,82098,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +57,Private,170411,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +25,Private,109532,12th,8,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,142682,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,Dominican-Republic,<=50K +34,Self-emp-inc,127651,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +27,Local-gov,236472,Bachelors,13,Divorced,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +25,Private,176047,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,2176,0,40,United-States,<=50K +37,Private,111499,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,425199,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +38,Private,229009,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,232713,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,594,0,30,United-States,<=50K +70,Private,141742,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,9386,0,50,United-States,>50K +37,Private,234807,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,37,United-States,<=50K +45,Private,738812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +56,Private,204816,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +64,Private,342494,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,226311,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +23,Private,143062,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +42,Local-gov,125155,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,90,United-States,<=50K +23,Private,329925,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +26,?,208994,Some-college,10,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K +56,Local-gov,212864,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +41,Private,214242,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +47,Self-emp-not-inc,191175,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,2179,50,Mexico,<=50K +21,Private,118693,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,253593,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +32,State-gov,206051,Some-college,10,Married-spouse-absent,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +72,Private,497280,9th,5,Widowed,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +69,Self-emp-not-inc,240562,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +19,Private,140985,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,25,United-States,<=50K +25,Local-gov,191921,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,25,United-States,<=50K +56,Private,204049,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1848,50,United-States,>50K +42,Private,331651,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,50,United-States,>50K +58,Private,142158,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +24,Private,249046,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,213019,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,>50K +40,Private,199599,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,186191,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,?,<=50K +25,Private,28008,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Self-emp-inc,82488,Bachelors,13,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +36,Private,117073,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,325786,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,37546,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,204226,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,133299,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,29702,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,307812,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,174545,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K +23,Private,233472,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,184147,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,20,United-States,<=50K +27,Private,198188,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,45,United-States,<=50K +32,Private,447066,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,15024,0,50,United-States,>50K +33,Private,200246,Some-college,10,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,166585,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +21,Private,335570,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,?,<=50K +39,Private,53569,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,167065,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +32,Private,113364,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Federal-gov,219266,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +58,Federal-gov,200042,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +20,Private,205975,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +63,?,234083,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,2205,40,United-States,<=50K +56,Private,65325,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,<=50K +30,Local-gov,194740,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,99065,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,39,United-States,<=50K +25,Private,212793,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +33,Private,112941,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,187322,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,283676,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,173682,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,168470,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,186454,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,13550,0,40,United-States,>50K +58,Private,141807,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K +25,Private,245628,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,15,Mexico,<=50K +31,Private,264864,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +39,Private,262841,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +55,Private,37438,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,170800,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +44,Private,152150,Assoc-acdm,12,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,?,211873,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,1628,5,?,<=50K +44,Private,159580,12th,8,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,477209,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,United-States,<=50K +32,Private,70985,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,241998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Private,249541,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,135339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +32,Private,44675,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +46,State-gov,247992,7th-8th,4,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Self-emp-not-inc,221626,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,1579,20,United-States,<=50K +43,Self-emp-inc,48087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,114045,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +60,State-gov,69251,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,38,China,>50K +67,Private,192670,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +19,Private,268392,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +55,?,170994,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,431513,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,>50K +19,State-gov,37332,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +19,Private,35865,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +43,Private,183891,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,150309,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,90,United-States,<=50K +65,Private,93318,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,<=50K +32,Private,171814,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,State-gov,183735,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,353541,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +33,Local-gov,152351,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K +72,?,271352,10th,6,Divorced,?,Not-in-family,White,Male,0,0,12,United-States,<=50K +34,Private,345705,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +27,Private,223751,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +75,Self-emp-inc,164570,11th,7,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,?,281363,10th,6,Widowed,?,Unmarried,White,Female,0,0,15,United-States,<=50K +51,Private,110747,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +47,Private,34458,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,254293,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,270147,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +48,Private,195491,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +36,Local-gov,255454,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Private,126125,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +33,Private,618191,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,163110,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,145409,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,48,United-States,>50K +39,State-gov,235379,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,55465,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +67,Local-gov,181220,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,20,United-States,<=50K +42,Private,26672,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +59,Private,98361,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Local-gov,219883,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +19,Private,376683,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,2036,0,30,United-States,<=50K +47,Private,33865,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +68,Private,168794,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +30,Private,94245,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,34572,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Private,348751,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,65382,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +60,Private,116707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +51,Private,178054,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K +24,Private,140001,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,166889,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,1602,35,United-States,<=50K +24,Private,117789,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,238917,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +48,Local-gov,242923,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1848,40,United-States,>50K +52,Local-gov,330799,9th,5,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +48,Private,209460,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,75313,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,66,United-States,>50K +29,?,339100,11th,7,Divorced,?,Not-in-family,White,Female,3418,0,48,United-States,<=50K +20,Private,184779,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +31,Private,139000,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +30,Private,361742,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,260782,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,?,<=50K +51,Private,203435,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,100579,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,356067,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,16,United-States,<=50K +46,Private,87250,Bachelors,13,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,264663,Some-college,10,Separated,Prof-specialty,Own-child,White,Female,0,3900,40,United-States,<=50K +29,Private,255817,5th-6th,3,Never-married,Other-service,Other-relative,White,Female,0,0,40,El-Salvador,<=50K +48,Self-emp-not-inc,243631,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,30,South,<=50K +34,Self-emp-inc,544268,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,Self-emp-not-inc,98061,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,95691,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,Columbia,<=50K +47,Private,145868,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,65038,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +43,Local-gov,227734,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,22,United-States,<=50K +19,Local-gov,176831,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,35,United-States,<=50K +22,Private,211678,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +40,Local-gov,157240,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,70,United-States,<=50K +41,Self-emp-not-inc,145441,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Yugoslavia,<=50K +71,Self-emp-inc,66624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,60,United-States,>50K +42,Private,76487,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +31,State-gov,557853,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,47,United-States,<=50K +69,?,262352,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,United-States,<=50K +58,Self-emp-not-inc,118253,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +36,Private,146625,11th,7,Widowed,Other-service,Unmarried,Black,Female,0,0,12,United-States,<=50K +31,Private,174201,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +20,?,66695,Some-college,10,Never-married,?,Own-child,Other,Female,594,0,35,United-States,<=50K +41,Private,121130,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,385847,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,?,83439,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,114158,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,381789,12th,8,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K +17,Private,82041,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Canada,<=50K +35,Self-emp-not-inc,115618,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +45,Self-emp-not-inc,106110,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,99,United-States,<=50K +44,Private,267521,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,90692,Assoc-voc,11,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +51,Private,57101,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,236913,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +64,Self-emp-not-inc,388625,10th,6,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,>50K +54,Self-emp-not-inc,261207,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,Cuba,<=50K +43,Private,245487,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +32,Private,262153,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +36,Private,225516,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Male,10520,0,43,United-States,>50K +26,Self-emp-not-inc,68729,HS-grad,9,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +37,Private,126954,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +38,Private,85074,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,383306,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,128143,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,50,United-States,>50K +47,Private,185041,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,99373,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Local-gov,157942,HS-grad,9,Widowed,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K +43,Private,241928,HS-grad,9,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,32,United-States,<=50K +37,Private,348739,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +37,Private,95654,10th,6,Divorced,Exec-managerial,Unmarried,White,Female,0,0,35,United-States,<=50K +25,Private,367306,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,270421,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +63,?,221592,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +50,Self-emp-not-inc,156951,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +42,State-gov,39239,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,70,United-States,<=50K +32,Private,72744,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,State-gov,367292,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,408498,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,361493,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,3325,0,40,United-States,<=50K +65,Self-emp-inc,157403,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,231263,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,244147,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,10,United-States,<=50K +24,Private,220944,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +51,Federal-gov,314007,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,?,200862,10th,6,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K +28,Private,33374,11th,7,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +32,Self-emp-inc,345489,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +77,Private,83601,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,162302,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +26,Private,112847,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,147344,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +57,State-gov,183657,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,35,United-States,>50K +40,Private,130760,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +50,Private,163948,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,316797,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,45,Mexico,<=50K +54,Federal-gov,332243,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,195844,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +51,Local-gov,387250,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +38,State-gov,188303,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,40,United-States,>50K +68,?,40956,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +17,Private,178953,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,398988,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,535978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +42,Private,296982,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,231991,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,295799,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,State-gov,201569,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +58,Private,193568,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Private,97128,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +42,Private,203393,Bachelors,13,Married-civ-spouse,Craft-repair,Wife,Black,Female,0,0,35,United-States,>50K +49,Private,138370,Masters,14,Married-spouse-absent,Protective-serv,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K +41,Self-emp-inc,120277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K +43,Private,91949,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Private,228372,Bachelors,13,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,>50K +28,Private,132191,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +39,Self-emp-not-inc,274683,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +50,Local-gov,196307,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +57,Private,195835,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,185399,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,38,United-States,<=50K +79,Self-emp-not-inc,103684,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,140559,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,White,Female,0,0,45,United-States,<=50K +35,Federal-gov,110188,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +35,Local-gov,668319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,80,United-States,<=50K +30,Private,112358,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K +26,Private,151810,10th,6,Never-married,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Private,48120,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Female,1506,0,40,United-States,<=50K +48,Private,144844,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,205839,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,113760,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +50,Private,138358,10th,6,Separated,Adm-clerical,Not-in-family,Black,Female,0,0,47,Jamaica,<=50K +47,Self-emp-not-inc,216657,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,278576,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,174373,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +73,Private,220019,9th,5,Widowed,Other-service,Unmarried,White,Female,0,0,9,United-States,<=50K +24,?,311949,HS-grad,9,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,45,?,<=50K +34,Private,303867,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Private,154210,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +28,?,131310,12th,8,Married-civ-spouse,?,Wife,White,Female,0,0,20,Germany,<=50K +46,Private,202560,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +20,?,358783,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +29,Private,423024,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,206671,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,State-gov,245310,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +18,Private,31983,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,124956,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,90,United-States,>50K +59,Private,118358,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +27,Private,491421,5th-6th,3,Never-married,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +50,Private,151580,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,248990,1st-4th,2,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,24,Mexico,<=50K +42,Private,157425,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +36,Private,221650,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Japan,<=50K +62,Private,88055,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K +71,Private,216608,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,682947,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +44,Private,228124,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,?,217194,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +49,Self-emp-not-inc,171540,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +60,Self-emp-inc,210827,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +28,Self-emp-not-inc,410351,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Poland,<=50K +26,Private,163747,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,55,United-States,<=50K +18,Private,108892,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +43,Private,180096,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +65,Local-gov,153890,12th,8,Widowed,Exec-managerial,Not-in-family,White,Male,2009,0,44,United-States,<=50K +23,Private,117480,10th,6,Never-married,Craft-repair,Own-child,White,Male,0,0,44,United-States,<=50K +21,Private,163333,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +20,Self-emp-not-inc,306710,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,150553,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,18,Philippines,<=50K +77,Private,123959,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +32,Private,24961,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +37,Local-gov,327120,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +29,Self-emp-not-inc,33798,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +59,Private,81929,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K +22,Private,298489,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +30,?,101697,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +31,Private,144064,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +59,Self-emp-not-inc,195835,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +29,Federal-gov,184723,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,>50K +56,Private,265086,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +19,Private,235909,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,42645,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +58,State-gov,279878,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,104892,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,137063,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,38,United-States,<=50K +38,Self-emp-not-inc,58972,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,126675,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +19,Private,286435,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K +46,Private,191389,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,28,United-States,>50K +42,Private,183241,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +29,Private,91547,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,52781,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +29,Private,210959,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,365516,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,112271,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,269455,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,164379,Bachelors,13,Divorced,Sales,Unmarried,Black,Female,0,0,35,United-States,>50K +28,Private,109621,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,104858,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,>50K +39,Private,99270,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,193524,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +70,?,149040,HS-grad,9,Widowed,?,Not-in-family,White,Female,2964,0,12,United-States,<=50K +60,State-gov,313946,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,162358,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +59,Private,200700,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,48,United-States,>50K +21,Private,116489,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,60,United-States,<=50K +22,Private,118310,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,16,United-States,<=50K +31,Private,352465,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +40,Private,107433,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +33,Private,296538,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +41,Local-gov,195897,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +31,Self-emp-not-inc,216283,Assoc-acdm,12,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,>50K +62,Private,345780,Assoc-voc,11,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,216685,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,<=50K +28,Local-gov,210945,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,60,United-States,<=50K +43,Private,184321,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,1887,40,United-States,>50K +55,Self-emp-not-inc,322691,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,3103,0,55,United-States,>50K +42,Private,192712,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +23,Private,178272,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,321333,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Self-emp-inc,120277,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,45,United-States,>50K +19,Private,294029,11th,7,Never-married,Sales,Own-child,Other,Female,0,0,32,Nicaragua,<=50K +23,Private,112819,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,152636,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,50,United-States,<=50K +63,?,301611,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +51,Private,134808,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,64216,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,90,United-States,<=50K +29,State-gov,214284,Masters,14,Never-married,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,20,Taiwan,<=50K +25,Private,469572,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,8614,0,40,United-States,>50K +44,Self-emp-not-inc,282722,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +17,Private,231439,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +42,Self-emp-inc,120277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +21,Private,364685,11th,7,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K +26,Private,18827,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,169129,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,202051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +58,?,353244,Bachelors,13,Widowed,?,Unmarried,White,Female,27828,0,50,United-States,>50K +19,Private,574271,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +65,State-gov,29276,7th-8th,4,Widowed,Other-service,Other-relative,White,Female,0,0,24,United-States,<=50K +52,Self-emp-not-inc,104501,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +17,Private,394176,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +27,Private,85625,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,22,United-States,<=50K +53,Private,340723,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,149342,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,73715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Private,143083,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,18,United-States,<=50K +40,Local-gov,290660,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K +49,Local-gov,98738,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +86,Private,149912,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,309033,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,60,United-States,>50K +43,Self-emp-not-inc,96129,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,216096,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +32,Private,171091,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +30,Self-emp-not-inc,79303,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +25,Local-gov,182380,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,36271,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +60,Private,118197,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +46,Private,269652,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,38,United-States,>50K +39,Local-gov,193815,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +28,Private,141957,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,70,United-States,>50K +26,Private,222637,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,55,Puerto-Rico,<=50K +27,Private,118230,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,174040,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +64,State-gov,105748,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +90,Self-emp-not-inc,82628,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2964,0,12,United-States,<=50K +51,Private,205100,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,45,United-States,>50K +36,Private,107916,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K +39,Private,130620,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Unmarried,Other,Female,0,0,40,Dominican-Republic,<=50K +30,?,361817,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +47,Self-emp-not-inc,235646,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +32,Private,53277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +24,Private,456460,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +23,Private,293091,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +62,Private,210935,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +48,?,199763,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +62,?,223447,12th,8,Divorced,?,Not-in-family,White,Male,0,0,40,Canada,<=50K +35,Self-emp-not-inc,233533,Bachelors,13,Separated,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +27,Private,95647,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +49,Private,199763,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,Private,74539,10th,6,Never-married,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +19,Private,84610,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +63,Self-emp-inc,96930,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,Private,115602,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +24,Private,237341,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +61,Private,143800,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +50,Self-emp-inc,163921,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +36,Private,68273,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,Private,113163,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +38,Self-emp-inc,478829,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,50,United-States,>50K +30,Private,345705,Some-college,10,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,0,0,40,United-States,<=50K +22,Private,385077,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,2907,0,40,United-States,<=50K +33,Private,192286,Some-college,10,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,52,United-States,<=50K +39,Local-gov,236391,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,>50K +42,Private,106679,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +47,?,308242,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,46094,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,33,United-States,<=50K +29,Private,194940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,341643,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,55,United-States,<=50K +23,Private,210474,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +28,Private,76313,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +34,Private,115858,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,55191,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,364862,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,334787,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,205733,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,?,120163,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,333677,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,2463,0,35,United-States,<=50K +25,Private,208591,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,341204,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,1831,0,30,United-States,<=50K +56,Self-emp-not-inc,115422,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,111319,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,45,United-States,>50K +54,Private,816750,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +25,Private,167835,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K +28,Private,92262,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,91964,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,107682,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,State-gov,135388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +39,Self-emp-not-inc,597843,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,Columbia,<=50K +19,Private,389942,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,442274,12th,8,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +23,Private,595461,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +52,Private,284329,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +33,Self-emp-not-inc,127894,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +35,Private,196899,Bachelors,13,Never-married,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Female,0,0,50,Haiti,<=50K +58,Private,212534,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,71209,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +39,Private,237943,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K +38,Private,190759,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,100313,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +41,Private,344624,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +27,?,194024,9th,5,Separated,?,Unmarried,White,Female,0,0,50,United-States,<=50K +19,Private,87497,11th,7,Never-married,Transport-moving,Other-relative,White,Male,0,0,10,United-States,<=50K +22,Private,236907,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +59,Private,169639,Assoc-acdm,12,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +37,Private,105803,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,45,United-States,>50K +31,Private,149507,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +18,Private,294387,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,161708,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +28,Private,282389,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,64940,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +49,Private,195727,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,37931,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +19,Private,170720,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,152958,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +28,Private,312372,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,15024,0,40,United-States,>50K +41,Private,39581,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,24,El-Salvador,<=50K +50,Private,206862,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +46,Private,216934,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,Portugal,<=50K +20,Private,143062,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,242391,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +28,Private,165030,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,199251,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +46,Self-emp-not-inc,353012,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +66,Private,174491,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,?,333305,Some-college,10,Married-civ-spouse,?,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,203138,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,50,United-States,>50K +25,Private,220220,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,45,United-States,<=50K +55,Federal-gov,305850,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +48,Local-gov,273402,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,<=50K +56,Private,201344,Some-college,10,Widowed,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K +47,Self-emp-not-inc,218676,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +55,Self-emp-not-inc,141807,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,222434,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,266860,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +40,Private,34113,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Male,6849,0,43,United-States,<=50K +41,Private,159549,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,195248,Some-college,10,Never-married,Sales,Own-child,Other,Female,0,0,20,United-States,<=50K +52,Private,109413,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,195343,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Male,15020,0,50,United-States,>50K +46,Private,185291,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,>50K +21,?,140012,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +35,Self-emp-not-inc,114366,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,169631,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,163870,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,3908,0,40,United-States,<=50K +35,Private,312232,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,229737,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,India,>50K +70,?,306563,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,161637,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,40,Taiwan,>50K +34,Private,106014,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +21,Private,25265,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +29,Private,71860,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +41,Self-emp-inc,94113,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Self-emp-not-inc,208003,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,113550,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,83046,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,277488,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,65,United-States,>50K +19,Private,205830,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,El-Salvador,<=50K +46,Private,273575,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,15024,0,40,United-States,>50K +23,Private,245147,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +49,Private,274720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,163047,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,State-gov,47902,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +50,Private,128798,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +77,Private,154205,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,10,United-States,<=50K +27,Private,176683,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +29,Self-emp-inc,104737,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +54,Private,349340,Preschool,1,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +39,State-gov,218249,Some-college,10,Separated,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K +32,Private,281540,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +36,Federal-gov,112847,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +24,Local-gov,126613,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +50,Self-emp-not-inc,145419,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,45,United-States,>50K +32,Self-emp-not-inc,34572,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +26,Private,104045,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,?,57665,Bachelors,13,Divorced,?,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,359001,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +47,Private,105273,Bachelors,13,Widowed,Craft-repair,Unmarried,Black,Female,6497,0,40,United-States,<=50K +31,Private,201122,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,160035,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +50,Private,167886,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +18,Private,32059,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +59,Self-emp-inc,200453,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,403072,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +34,Private,37210,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,50,United-States,<=50K +32,Private,199416,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,413227,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +29,?,188675,Some-college,10,Divorced,?,Own-child,Black,Male,0,0,40,United-States,<=50K +42,Private,226902,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +37,Private,195189,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,116608,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,99131,Masters,14,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +32,Private,553405,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,50,United-States,>50K +52,Local-gov,186117,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,>50K +29,State-gov,67053,HS-grad,9,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Thailand,<=50K +39,Private,347960,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,14084,0,35,United-States,>50K +39,Private,325374,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +69,Private,130413,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,2346,0,15,United-States,<=50K +43,Private,111949,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +39,Private,278557,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1628,48,United-States,<=50K +19,Private,194905,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +60,Local-gov,195453,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +51,Private,282549,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,3137,0,40,United-States,<=50K +75,Private,316119,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,8,United-States,<=50K +37,State-gov,252939,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,Black,Female,5455,0,40,United-States,<=50K +24,State-gov,506329,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,?,<=50K +20,Private,316043,11th,7,Never-married,Other-service,Own-child,Black,Male,594,0,20,United-States,<=50K +58,Federal-gov,319733,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +21,State-gov,99199,Masters,14,Never-married,Transport-moving,Own-child,White,Male,0,0,15,United-States,<=50K +28,Private,204600,HS-grad,9,Separated,Protective-serv,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,173307,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,34446,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +40,Self-emp-not-inc,237293,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +41,Private,175642,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,203735,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Local-gov,171589,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +26,Private,197967,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +29,Private,413297,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,45,Mexico,<=50K +45,Private,240841,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,152189,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,85874,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,176814,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +51,Local-gov,133336,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +22,Private,362623,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +67,?,37170,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,3,United-States,<=50K +28,Private,30912,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,35448,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +33,Private,173248,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,35,United-States,<=50K +37,Private,49626,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,43,United-States,<=50K +19,Private,102723,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +90,?,166343,1st-4th,2,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,168322,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,131117,7th-8th,4,Divorced,Tech-support,Unmarried,White,Female,0,0,38,Columbia,<=50K +20,?,210474,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,110138,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,107452,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Private,160594,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +32,Local-gov,186784,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,45,United-States,<=50K +70,Local-gov,334666,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,12,United-States,<=50K +65,?,191380,10th,6,Married-civ-spouse,?,Husband,White,Male,9386,0,50,United-States,>50K +57,Private,104272,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,19491,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,128715,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +34,Private,128063,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +26,Self-emp-not-inc,37023,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,78,United-States,<=50K +44,Private,68748,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +66,Private,140576,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,327435,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,202729,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +53,Private,277471,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +36,Private,189670,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K +61,Private,204908,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,171841,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,Private,78247,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,68895,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,Mexico,<=50K +27,Private,56658,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,8,United-States,<=50K +58,Local-gov,259216,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,State-gov,270278,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,12,Puerto-Rico,<=50K +56,Private,238806,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,26,United-States,<=50K +36,Private,111128,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +29,Private,119429,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +28,Private,73037,10th,6,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K +61,Self-emp-not-inc,84409,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +66,Self-emp-not-inc,274451,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,>50K +31,Private,246439,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7298,0,50,United-States,>50K +21,Private,124242,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +67,Self-emp-not-inc,123393,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,6418,0,58,United-States,>50K +26,Private,159732,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,161415,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +33,Private,157568,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,168030,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +59,State-gov,349910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,50,United-States,>50K +82,Self-emp-inc,130329,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +34,State-gov,56964,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +29,Private,370509,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,France,>50K +19,Private,106306,Some-college,10,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,56480,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,1,United-States,<=50K +41,Private,115932,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +55,Private,154580,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,2580,0,40,United-States,<=50K +27,Private,404421,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Private,194901,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,State-gov,164790,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,50,United-States,>50K +72,Federal-gov,94242,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K +68,Self-emp-not-inc,365020,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,160512,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,170331,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +30,Private,101266,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,100252,Bachelors,13,Divorced,Other-service,Not-in-family,Asian-Pac-Islander,Male,99999,0,70,United-States,>50K +54,Private,217718,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,30,Haiti,<=50K +32,Private,170154,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Female,25236,0,50,United-States,>50K +56,Private,105281,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,1974,40,United-States,<=50K +39,?,361838,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,6,United-States,>50K +41,State-gov,283917,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +48,Private,39530,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,212185,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,48,United-States,<=50K +25,Self-emp-inc,90752,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,202450,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1573,40,United-States,<=50K +32,Private,168138,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,2597,0,48,United-States,<=50K +51,Private,159755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +42,Private,191765,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,2339,40,Trinadad&Tobago,<=50K +22,?,210802,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,35,United-States,<=50K +31,Private,340880,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +43,Self-emp-not-inc,113211,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +42,Private,134509,Some-college,10,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,State-gov,147280,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,40,United-States,<=50K +40,Private,145441,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,Private,398001,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Private,31588,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,>50K +56,Private,189975,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,60,United-States,>50K +51,State-gov,231495,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +38,?,121135,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,186916,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +49,Self-emp-inc,213140,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +47,Private,176893,HS-grad,9,Divorced,Craft-repair,Not-in-family,Black,Male,8614,0,44,United-States,>50K +22,Private,115244,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +53,Private,313243,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,2444,45,United-States,>50K +41,Local-gov,169995,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,20,United-States,<=50K +19,Private,198459,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,2001,40,United-States,<=50K +27,Local-gov,66824,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,3325,0,43,United-States,<=50K +48,Self-emp-not-inc,52240,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,>50K +52,Private,35305,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,7,United-States,<=50K +61,State-gov,186451,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +45,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K +29,Private,210464,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,207685,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,21,United-States,<=50K +38,Private,233717,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,60,United-States,<=50K +32,Private,222205,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +37,Private,167613,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,148773,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,68268,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,174533,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,273230,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Private,187502,HS-grad,9,Never-married,Sales,Own-child,Black,Male,0,0,24,United-States,<=50K +47,Private,209320,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,56841,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,<=50K +55,Private,254627,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,42703,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,374137,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,196385,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,192930,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,10,United-States,<=50K +39,Private,99527,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,185437,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Female,0,0,55,United-States,<=50K +43,Private,247162,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +32,Federal-gov,131534,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,184693,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,Mexico,<=50K +27,Private,704108,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,220262,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,95654,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,60,United-States,<=50K +67,Private,89346,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +26,Private,94392,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Private,334113,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,32763,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +31,Private,136651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +51,Self-emp-not-inc,240236,Assoc-acdm,12,Separated,Sales,Not-in-family,Black,Male,0,0,30,United-States,<=50K +29,Private,53271,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,31493,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,>50K +32,Private,195891,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +31,Local-gov,209103,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3464,0,45,United-States,<=50K +26,Private,211424,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +28,Local-gov,84657,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,151408,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,106819,7th-8th,4,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,19,United-States,<=50K +62,Private,132917,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,20,United-States,<=50K +54,Private,146834,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +55,Private,164332,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,16,United-States,<=50K +24,Private,30656,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,20,United-States,<=50K +27,Private,113501,Masters,14,Never-married,Adm-clerical,Own-child,White,Male,0,0,45,United-States,<=50K +18,Private,165316,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +22,Private,233955,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,14344,0,40,United-States,>50K +21,Private,126613,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Self-emp-not-inc,361280,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,80,Philippines,>50K +50,?,123044,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,>50K +38,Private,165472,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,99452,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,84977,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,240458,11th,7,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,230858,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,60,United-States,>50K +60,Private,123218,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +62,?,191118,Some-college,10,Married-civ-spouse,?,Husband,White,Male,7298,0,40,United-States,>50K +38,Private,115289,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,373895,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K +43,Private,152617,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +49,State-gov,72619,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +17,Private,41865,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,190228,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +23,Private,193090,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,38,United-States,<=50K +28,Private,138692,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +83,Self-emp-inc,153183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,55,United-States,>50K +25,Private,181896,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,268183,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,60,United-States,<=50K +46,Local-gov,213668,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,99369,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Other,Female,0,0,50,United-States,<=50K +44,Private,104196,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +60,Self-emp-not-inc,176839,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +30,Local-gov,99502,Assoc-voc,11,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +24,Private,183410,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,17,United-States,<=50K +17,Private,25690,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +76,?,201986,11th,7,Widowed,?,Other-relative,White,Female,0,0,16,United-States,<=50K +31,Private,188961,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,114971,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +39,Private,121468,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K +73,Self-emp-inc,191540,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +38,Private,146398,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,24,United-States,<=50K +48,Private,193553,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,20,United-States,<=50K +60,Private,121127,10th,6,Widowed,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,389856,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,290504,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +54,State-gov,137065,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +50,Local-gov,212685,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +20,Private,71475,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,111450,Some-college,10,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,22,United-States,<=50K +35,Private,225860,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +43,Private,129853,10th,6,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,99925,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,32,United-States,<=50K +58,Private,227800,1st-4th,2,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,50,United-States,<=50K +55,State-gov,111130,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +29,Private,100764,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +47,Private,275095,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,147500,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +63,Local-gov,150079,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +27,Private,140863,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +62,?,199198,11th,7,Divorced,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,193372,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,196771,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,65,United-States,<=50K +31,Private,231826,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,52,Mexico,<=50K +40,Federal-gov,196456,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,34037,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Private,174964,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +46,Private,91608,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +31,Private,403468,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,50,Mexico,<=50K +33,Private,112900,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Private,242670,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Local-gov,187830,HS-grad,9,Divorced,Tech-support,Unmarried,White,Male,4934,0,36,United-States,>50K +25,Self-emp-not-inc,368115,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,35,United-States,>50K +54,Private,343242,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +46,Private,113390,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,60,United-States,<=50K +28,Private,200733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,236769,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,22494,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Federal-gov,129379,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,239098,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,167501,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,77146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +47,Private,82797,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +33,Self-emp-not-inc,134886,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +40,Self-emp-inc,218558,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +38,Private,207568,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +26,Private,196899,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,Other,Female,0,0,40,United-States,<=50K +54,Self-emp-not-inc,200960,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +39,Private,188069,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +60,Private,232337,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,98656,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,State-gov,194260,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +49,?,481987,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,234976,11th,7,Never-married,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +29,Private,349116,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +39,Private,175390,HS-grad,9,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Private,187720,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,?,>50K +26,Private,214637,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +27,Private,185127,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,98752,9th,5,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Local-gov,218382,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,Private,153486,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +51,Federal-gov,174102,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Private,137142,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +61,Private,241013,7th-8th,4,Widowed,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +35,Private,267798,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +41,?,152880,HS-grad,9,Divorced,?,Not-in-family,Black,Female,0,0,28,United-States,<=50K +31,Private,263561,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +43,Private,113324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +20,Private,39764,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,172186,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,460408,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1672,45,United-States,<=50K +42,Self-emp-not-inc,185129,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +51,Private,61270,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +39,Self-emp-inc,124685,Masters,14,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,99,Japan,>50K +69,Self-emp-not-inc,76968,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +63,?,310396,9th,5,Married-civ-spouse,?,Husband,White,Male,5178,0,40,United-States,>50K +29,Federal-gov,37933,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,2174,0,40,United-States,<=50K +21,Private,38772,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,172496,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K +55,Private,306164,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,33795,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +48,Private,47686,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +31,Private,193132,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,42,United-States,<=50K +52,Private,400004,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,101283,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,192384,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,113838,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,278322,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +56,Private,199713,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,236021,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,138938,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,126946,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,44791,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,31964,9th,5,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +60,State-gov,352156,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +70,Self-emp-not-inc,205860,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,113106,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,89182,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,250782,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +37,Private,193855,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,<=50K +50,Self-emp-not-inc,132716,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +68,Private,218637,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2377,55,United-States,>50K +28,Private,177955,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K +32,Private,198660,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,207937,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,10520,0,50,United-States,>50K +18,Private,168740,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +45,Private,199625,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +22,Private,213902,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +38,Private,208379,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,8,United-States,<=50K +37,Private,113120,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,57827,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +59,Private,515712,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,54190,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +53,Self-emp-inc,134793,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +18,Private,396270,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,25,United-States,<=50K +30,Private,231620,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,Mexico,<=50K +50,Private,174655,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +63,?,97823,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,344480,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,4064,0,40,United-States,<=50K +48,Private,176732,9th,5,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,143932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,551962,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,50,Peru,<=50K +30,?,298577,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +39,Private,257942,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +55,Local-gov,253062,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,193748,11th,7,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +46,Private,368561,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +50,Private,192964,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,65,United-States,<=50K +32,Private,217304,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Male,0,0,30,United-States,<=50K +18,Private,120029,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,62124,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +50,Private,94885,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +32,Private,192565,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +23,Local-gov,220912,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +26,Private,184120,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +46,Private,140782,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +43,Self-emp-inc,170785,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +32,Private,90705,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +37,State-gov,108293,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +48,Private,168283,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +28,Private,339372,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1408,40,United-States,<=50K +43,Private,193672,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Local-gov,143865,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +30,Private,209317,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,Dominican-Republic,<=50K +34,State-gov,204461,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,137088,HS-grad,9,Married-civ-spouse,Craft-repair,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +41,Private,149102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +53,Private,182855,10th,6,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +42,Private,572751,Preschool,1,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K +18,Private,83451,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +81,Private,98116,Bachelors,13,Widowed,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +40,Private,119225,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,134888,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,745817,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,15,United-States,<=50K +41,Private,88368,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +49,State-gov,122066,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +22,Private,363219,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,Private,84402,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +56,Private,34626,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,1980,40,United-States,<=50K +35,Private,150042,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +34,Private,48014,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Local-gov,177398,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +28,Private,373698,12th,8,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,<=50K +35,Private,422933,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,37,United-States,<=50K +29,Private,131088,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,178255,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,Columbia,<=50K +52,Self-emp-not-inc,129311,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,95,United-States,>50K +45,Private,473171,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,236985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +35,?,226379,HS-grad,9,Married-civ-spouse,?,Other-relative,White,Female,0,0,25,United-States,<=50K +21,?,277700,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,207568,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,85708,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,98765,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Canada,<=50K +29,Private,192283,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +29,State-gov,271012,10th,6,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +33,Private,189265,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,321880,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,15,United-States,<=50K +52,Private,177465,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +24,Private,127647,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +32,State-gov,119033,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +40,Private,289748,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,4650,0,48,United-States,<=50K +32,Private,209317,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Male,0,0,40,?,<=50K +33,Private,284531,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,251120,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +28,Private,113870,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Without-pay,170114,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +46,Local-gov,121124,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,40,United-States,>50K +32,Private,328199,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,0,64,United-States,<=50K +26,Private,206307,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-inc,236021,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +57,Federal-gov,170603,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +52,Private,74275,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,45,United-States,>50K +35,Self-emp-not-inc,112271,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +19,Private,118306,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +49,Private,126754,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +47,Private,267205,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,>50K +38,Private,205359,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,32,United-States,<=50K +30,Private,398662,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,202498,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Columbia,<=50K +32,Private,105650,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +46,Private,191204,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,56582,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Local-gov,51579,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +57,Self-emp-not-inc,152030,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,>50K +47,Private,227310,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,55854,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K +36,Local-gov,28996,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,160634,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,222450,11th,7,Married-spouse-absent,Other-service,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +36,Self-emp-inc,180419,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +64,Private,116084,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,40,United-States,<=50K +17,Private,202521,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +23,Private,186014,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +40,Private,88368,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,914,0,40,United-States,<=50K +42,State-gov,190044,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +37,Self-emp-not-inc,35330,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K +35,Federal-gov,84848,Some-college,10,Never-married,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,176280,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Private,145271,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +37,Local-gov,108320,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +48,State-gov,106377,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,65,United-States,>50K +24,Private,258730,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,40,Japan,<=50K +33,Private,58305,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,341672,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +34,Private,176648,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,42,United-States,<=50K +24,?,32616,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,481175,Some-college,10,Never-married,Exec-managerial,Own-child,Other,Male,0,0,24,Peru,<=50K +49,Private,187454,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,65,United-States,>50K +18,Private,25837,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +20,Private,385077,12th,8,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,68985,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +19,Private,181572,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,23698,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +34,?,268127,12th,8,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,162298,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,144608,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,250630,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +31,Private,150441,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +37,Private,189251,Doctorate,16,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +64,Private,260082,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Columbia,<=50K +42,Private,139126,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +27,Private,50132,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Self-emp-not-inc,167691,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +36,Private,77820,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,156513,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +46,Private,248059,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3464,0,40,United-States,<=50K +24,Private,283092,11th,7,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,35,Jamaica,<=50K +22,Private,175883,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +62,Private,232308,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,269991,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Puerto-Rico,<=50K +20,Private,305446,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,120781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,15024,0,40,?,>50K +57,Private,78707,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,351802,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,35,United-States,<=50K +37,Local-gov,196529,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +35,Self-emp-inc,175769,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +17,Private,153021,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +36,Local-gov,331902,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +50,Private,279461,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +35,Private,145704,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3942,0,35,United-States,<=50K +27,State-gov,205499,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,77,United-States,<=50K +28,Private,293926,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,30,United-States,<=50K +29,Self-emp-not-inc,69132,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,99999,0,60,United-States,>50K +25,Private,113099,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Self-emp-inc,206947,Assoc-acdm,12,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,67,United-States,<=50K +29,State-gov,159782,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +19,Private,410543,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,Private,34446,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,209101,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,>50K +43,Federal-gov,95902,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,214323,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,236323,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,201127,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,56,United-States,>50K +40,Private,142886,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,77313,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +17,?,212125,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +36,Private,187098,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,196857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Local-gov,155314,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +72,Self-emp-not-inc,203289,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +46,Private,117059,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +33,Private,178587,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,37,United-States,<=50K +22,Private,82393,9th,5,Never-married,Handlers-cleaners,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +17,?,145258,11th,7,Never-married,?,Other-relative,White,Female,0,0,25,United-States,<=50K +41,Private,185145,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,?,>50K +46,Private,72896,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,43,United-States,<=50K +33,Private,134886,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,223212,Preschool,1,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +52,Self-emp-not-inc,174752,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,230563,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +48,State-gov,353824,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +22,Private,117363,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,285367,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,?,139391,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,42,United-States,<=50K +38,Private,198170,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,38948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,188515,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,177810,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +48,Private,188432,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,46,United-States,>50K +31,Private,178506,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,129298,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,165315,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,37,United-States,<=50K +68,Private,117236,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,45,United-States,>50K +18,?,172214,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +19,Private,63434,12th,8,Never-married,Farming-fishing,Own-child,White,Female,0,0,30,United-States,<=50K +35,Self-emp-inc,140854,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,133043,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +53,Private,113176,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,2597,0,40,United-States,<=50K +33,Private,259301,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,41,United-States,<=50K +20,Private,196643,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,364365,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +36,Private,269318,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +34,Private,108454,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,171637,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,183589,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +24,Private,107801,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,179877,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +32,Private,168981,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,<=50K +37,Private,120590,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +31,Private,310773,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K +21,Private,197050,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,159726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,85,United-States,>50K +23,Private,210797,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,55291,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +60,?,141221,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,2163,25,South,<=50K +17,Private,276718,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +67,Private,336163,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,24,United-States,<=50K +57,Private,112840,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +17,Private,165918,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,Peru,<=50K +53,Private,165745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-not-inc,259299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,50,United-States,>50K +24,State-gov,197731,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,49,United-States,>50K +48,Self-emp-not-inc,197702,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,162238,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,47,United-States,>50K +38,Private,213260,HS-grad,9,Separated,Protective-serv,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Private,53833,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K +18,Private,89419,HS-grad,9,Never-married,Tech-support,Own-child,White,Female,0,0,10,United-States,<=50K +23,Private,119704,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,433170,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +34,Private,182714,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,?,<=50K +39,Private,172538,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +20,?,220115,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,12,United-States,<=50K +39,Private,158956,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Self-emp-not-inc,25631,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,476558,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +54,Federal-gov,35576,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,203463,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,State-gov,317647,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,170411,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,?,174182,11th,7,Married-civ-spouse,?,Wife,Other,Female,0,0,24,United-States,<=50K +54,Private,220055,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,231482,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,335979,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,991,0,18,United-States,<=50K +33,Private,279173,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,89559,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +47,Private,161950,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,25,Germany,<=50K +51,Private,131068,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,219632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,175507,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +58,Self-emp-inc,182062,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,24,United-States,>50K +27,Private,287476,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,3325,0,40,United-States,<=50K +36,Private,206253,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,1617,40,United-States,<=50K +20,?,189203,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,21698,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,328051,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +32,Private,356689,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,3887,0,40,United-States,<=50K +59,Private,121865,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,420986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,?,218558,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,288992,10th,6,Divorced,Prof-specialty,Unmarried,White,Male,14344,0,68,United-States,>50K +20,?,189740,Some-college,10,Never-married,?,Own-child,White,Female,0,0,32,United-States,<=50K +29,Local-gov,188909,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,42,United-States,<=50K +28,Private,213081,11th,7,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,Jamaica,<=50K +18,Self-emp-not-inc,157131,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,98010,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Private,207677,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +58,?,361870,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K +56,Private,266091,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +41,Private,106627,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,50,United-States,<=50K +50,Self-emp-inc,167793,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,60,United-States,>50K +74,Self-emp-not-inc,206682,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1648,35,United-States,<=50K +30,Private,243165,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,201928,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +19,Private,128346,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,197288,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +20,?,169184,Some-college,10,Never-married,?,Other-relative,Black,Female,0,0,40,United-States,<=50K +36,Private,245521,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,Mexico,<=50K +36,Private,129591,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Local-gov,47415,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1628,30,United-States,<=50K +37,Self-emp-not-inc,188563,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K +29,Self-emp-not-inc,184710,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,63734,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +18,Private,111256,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +40,Self-emp-inc,111483,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +26,Self-emp-inc,266639,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,93853,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,184207,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,238002,9th,5,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,Mexico,<=50K +28,?,30237,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,196545,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,>50K +47,Private,144844,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,280500,Some-college,10,Never-married,Tech-support,Own-child,Black,Female,0,0,40,United-States,<=50K +73,?,135601,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +37,Private,409189,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,Mexico,<=50K +50,Private,23686,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,35,United-States,>50K +19,Private,229756,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +32,Local-gov,95530,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +44,Local-gov,73199,Assoc-voc,11,Divorced,Tech-support,Unmarried,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +20,Private,196745,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +29,Private,79481,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,116934,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,100950,Assoc-voc,11,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,<=50K +44,Local-gov,56651,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K +18,Private,186954,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +22,Private,264874,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +39,State-gov,183092,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +26,Local-gov,273399,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,Peru,<=50K +29,?,142443,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +21,Private,177526,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +49,Local-gov,31267,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,321666,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,331861,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,?,<=50K +25,Private,283515,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,60,United-States,<=50K +30,Private,54608,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,162238,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +30,Private,175931,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,236804,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,168782,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,227065,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Self-emp-inc,285335,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +31,Private,259705,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,40,United-States,<=50K +57,Private,24384,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,10,United-States,<=50K +58,Private,322013,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,49797,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,52566,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,266275,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +72,Self-emp-not-inc,285408,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2246,28,United-States,>50K +26,Self-emp-not-inc,177858,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1876,38,United-States,<=50K +45,Federal-gov,183804,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,107231,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +23,Private,173679,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Local-gov,163965,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +18,Private,173585,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,Peru,<=50K +27,Private,172009,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,44363,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +45,Private,246392,HS-grad,9,Never-married,Priv-house-serv,Unmarried,Black,Female,0,0,30,United-States,<=50K +53,Private,167033,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +54,Private,143822,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +41,Private,37869,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +23,Private,447488,9th,5,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,Mexico,<=50K +17,Private,239346,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +42,Private,245975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,34632,12th,8,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,121362,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,2258,38,United-States,>50K +21,State-gov,24008,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +44,Private,165492,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Private,326048,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Male,0,0,44,United-States,<=50K +46,Private,250821,Prof-school,15,Divorced,Farming-fishing,Unmarried,White,Male,0,0,48,United-States,<=50K +37,Self-emp-not-inc,154641,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,86,United-States,<=50K +35,Private,198202,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,54,United-States,<=50K +27,Local-gov,170504,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,191342,Some-college,10,Never-married,Sales,Not-in-family,Other,Male,0,0,40,India,<=50K +19,Private,238969,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +63,Self-emp-not-inc,344128,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +69,?,148694,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,?,180187,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,6,Italy,<=50K +36,State-gov,168894,Assoc-voc,11,Married-spouse-absent,Protective-serv,Own-child,White,Female,0,0,40,Germany,<=50K +20,Private,203263,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +28,State-gov,89564,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,50,United-States,<=50K +58,Private,97562,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,38,United-States,<=50K +48,Private,336540,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,139647,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,56,United-States,<=50K +38,Private,160192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,44,United-States,<=50K +50,Local-gov,320386,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,32126,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,275445,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +38,Self-emp-inc,54953,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +54,Private,103580,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,>50K +42,Private,245565,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,12,England,<=50K +32,Private,39223,10th,6,Separated,Craft-repair,Unmarried,Black,Female,0,0,40,?,<=50K +55,State-gov,117357,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,70,?,>50K +63,Private,207385,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +21,Private,355287,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,Mexico,<=50K +62,?,141218,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,>50K +46,Local-gov,207677,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Private,102114,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,60269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,278632,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,355551,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Female,0,0,45,Mexico,<=50K +45,Private,246891,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,72,Canada,>50K +19,Private,124486,12th,8,Never-married,Other-service,Own-child,White,Male,0,1602,20,United-States,<=50K +61,?,202106,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1902,40,United-States,>50K +61,Private,191417,9th,5,Widowed,Exec-managerial,Not-in-family,Black,Male,0,0,65,United-States,<=50K +21,Private,184543,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,122206,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,229015,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,Private,130067,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +40,Local-gov,306495,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +32,Private,232855,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Local-gov,171328,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +64,Private,144182,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,23,United-States,<=50K +34,Private,102858,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +19,?,199495,Some-college,10,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +58,Private,209438,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,74895,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,55,United-States,<=50K +44,Private,184378,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,446512,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Federal-gov,113688,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +39,Private,333305,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,>50K +19,Private,118535,12th,8,Never-married,Sales,Own-child,White,Female,0,0,18,United-States,<=50K +56,Private,76142,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Local-gov,38795,9th,5,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,208478,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,18,?,<=50K +69,Private,203313,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,991,0,18,United-States,<=50K +62,Private,247483,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +62,State-gov,198686,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,56118,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,359808,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,231554,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,50,United-States,<=50K +33,Private,34848,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,199934,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,7298,0,40,United-States,>50K +29,Private,196243,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Self-emp-inc,66360,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,6418,0,35,United-States,>50K +18,Private,189487,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +22,Private,194848,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,167309,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,40,United-States,>50K +44,Private,192878,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +48,Private,70209,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +52,Federal-gov,123011,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Self-emp-not-inc,135339,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,20,China,>50K +48,Federal-gov,497486,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K +25,Private,178478,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,149909,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +37,Private,103323,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,239404,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,45,United-States,<=50K +67,Private,165082,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +36,Private,389725,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +47,Private,374580,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K +36,?,187983,HS-grad,9,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,259300,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,16,United-States,<=50K +19,Private,277695,9th,5,Never-married,Farming-fishing,Other-relative,White,Male,0,0,16,Mexico,<=50K +24,Private,230248,7th-8th,4,Separated,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,196342,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +17,Private,160968,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,16,United-States,<=50K +28,Private,115438,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,231043,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,3908,0,45,United-States,<=50K +35,Private,129597,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,46,United-States,<=50K +24,Local-gov,387108,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +43,Private,105936,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,>50K +20,Private,107242,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,?,<=50K +55,Private,125000,Masters,14,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +22,Private,229456,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,35,United-States,<=50K +20,Private,230113,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +44,Private,106698,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,133454,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,295520,9th,5,Widowed,Sales,Unmarried,Black,Female,0,0,25,United-States,<=50K +26,Private,151551,Some-college,10,Separated,Sales,Own-child,Amer-Indian-Eskimo,Male,2597,0,48,United-States,<=50K +58,Private,100313,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,40,United-States,>50K +23,Private,320294,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,162381,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,183898,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,2354,0,40,United-States,<=50K +41,Self-emp-inc,32016,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,62,United-States,<=50K +31,Private,117028,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,280278,HS-grad,9,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Private,342906,9th,5,Married-civ-spouse,Sales,Husband,Black,Male,0,0,55,United-States,>50K +25,Private,181598,11th,7,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,224059,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,148549,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,97355,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +37,Private,154571,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +43,Self-emp-inc,140988,Bachelors,13,Married-civ-spouse,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,45,India,<=50K +20,Private,148409,Some-college,10,Never-married,Sales,Other-relative,White,Male,1055,0,20,United-States,<=50K +40,Local-gov,150755,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,75,United-States,>50K +27,Private,87006,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1579,40,United-States,<=50K +35,Private,112158,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,121488,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,State-gov,283635,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,69758,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +40,Private,199900,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,55,United-States,>50K +54,Private,88019,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +28,Private,31935,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Private,323055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,189498,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +52,Private,89041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,112507,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +19,Private,236940,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,278514,HS-grad,9,Divorced,Craft-repair,Own-child,White,Female,0,0,42,United-States,<=50K +21,?,433330,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,258379,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,<=50K +44,Private,162028,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,44,United-States,<=50K +20,Private,197997,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,98350,10th,6,Married-spouse-absent,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,37,China,<=50K +39,Private,165848,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,178615,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,228939,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +27,Private,210498,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +53,Private,154891,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,165937,Assoc-voc,11,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +23,?,138768,Bachelors,13,Never-married,?,Own-child,White,Male,2907,0,40,United-States,<=50K +39,Private,160120,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +30,Private,382368,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,123011,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +33,Private,119033,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,496856,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,194049,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +30,Private,299223,Some-college,10,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +66,Private,174788,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +39,Private,176101,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,38948,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,271933,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,122041,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,115932,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,>50K +46,Private,265105,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,100828,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +60,Private,121319,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3137,0,40,Poland,<=50K +63,Private,308028,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,5013,0,40,United-States,<=50K +42,Private,213214,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,348618,9th,5,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +33,Private,275632,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,239161,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +20,Private,215495,9th,5,Never-married,Exec-managerial,Other-relative,White,Female,0,0,40,Mexico,<=50K +30,Private,214063,Some-college,10,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,72,United-States,<=50K +37,Private,122493,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +33,?,211699,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,175622,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,Private,153522,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,17,United-States,<=50K +35,Private,258339,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +27,Private,119793,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,133503,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1977,45,United-States,>50K +18,Private,162840,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +41,Local-gov,67671,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,188888,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1340,40,United-States,<=50K +45,Private,140644,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,?,126154,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,245659,Some-college,10,Separated,Other-service,Unmarried,White,Female,0,0,38,El-Salvador,<=50K +28,Private,129624,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,?,<=50K +47,Private,104068,HS-grad,9,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +30,Private,337908,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,20,United-States,<=50K +36,Private,161141,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,162228,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,116391,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,314310,HS-grad,9,Married-spouse-absent,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +61,?,394534,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,6,United-States,<=50K +29,Private,308136,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,194698,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,?,67793,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,60,United-States,<=50K +29,Local-gov,302422,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,1564,56,United-States,>50K +27,Private,289147,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,229826,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,United-States,<=50K +22,?,154235,Some-college,10,Married-civ-spouse,?,Wife,White,Female,3781,0,35,United-States,<=50K +49,Self-emp-inc,246739,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +35,Private,188041,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,187440,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +37,Local-gov,105266,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,249208,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,48,United-States,>50K +26,Private,203492,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,71076,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +55,Federal-gov,146477,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +47,Private,201699,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +59,Private,205949,HS-grad,9,Separated,Craft-repair,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +70,Private,90245,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,5,United-States,<=50K +53,Federal-gov,177647,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,France,>50K +39,Private,126494,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,257735,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,1161363,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,50,Columbia,<=50K +19,?,257343,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,221452,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +74,Private,260669,10th,6,Divorced,Other-service,Not-in-family,White,Female,0,0,1,United-States,<=50K +40,Private,192344,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +35,Private,80479,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,108808,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,175674,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,Private,272950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Self-emp-not-inc,160786,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +46,Self-emp-not-inc,122206,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,121168,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,209547,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +29,Federal-gov,244473,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +39,Private,176296,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,60,United-States,<=50K +31,Private,91666,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K +50,Local-gov,191025,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,4650,0,70,United-States,<=50K +31,State-gov,63704,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,31659,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,191230,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,25,United-States,<=50K +28,Private,56340,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,Private,221157,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +57,Local-gov,143910,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Local-gov,435836,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,?,61499,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,209182,Preschool,1,Separated,Other-service,Unmarried,White,Female,0,0,40,El-Salvador,<=50K +36,Self-emp-inc,107218,Some-college,10,Divorced,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +51,Private,55500,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,357962,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,White,Male,0,0,48,United-States,<=50K +43,Private,200355,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +38,Private,320451,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +51,Local-gov,184542,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,206927,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,54310,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +35,Private,208165,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +40,Private,146908,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +39,Private,318416,10th,6,Separated,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K +47,Self-emp-inc,207540,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +23,Private,69911,Preschool,1,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,305304,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,295289,HS-grad,9,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,275110,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,42,United-States,<=50K +30,Private,339773,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +57,State-gov,399246,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,1485,40,China,<=50K +37,Self-emp-inc,51264,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,49020,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,48,United-States,>50K +37,Private,178100,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +45,?,215943,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,176178,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +25,State-gov,180884,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +61,State-gov,130466,HS-grad,9,Widowed,Adm-clerical,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +59,Private,328525,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,2414,0,15,United-States,<=50K +28,Private,142712,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,176321,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,145041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Cuba,>50K +29,Private,95423,HS-grad,9,Married-AF-spouse,Transport-moving,Husband,White,Male,0,0,80,United-States,<=50K +49,Self-emp-not-inc,215096,9th,5,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Local-gov,177599,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +33,Private,123920,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +20,?,201490,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,46990,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K +32,Private,388672,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,16,United-States,<=50K +48,Private,149210,Bachelors,13,Divorced,Sales,Not-in-family,Black,Male,0,0,40,United-States,>50K +24,Private,134787,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,185407,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,>50K +31,State-gov,86143,HS-grad,9,Never-married,Protective-serv,Other-relative,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +23,Private,41721,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +35,Private,195744,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,96062,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,215150,9th,5,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Private,270728,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,48,Cuba,<=50K +44,Private,75012,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +43,Private,206139,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +39,Private,50700,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,224258,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,>50K +31,Private,240441,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,1564,40,United-States,>50K +40,Self-emp-not-inc,406811,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +28,Local-gov,34452,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,361341,12th,8,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Female,0,0,25,Thailand,<=50K +35,Private,78247,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,106900,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +40,Self-emp-not-inc,165108,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,England,<=50K +20,Private,406641,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +55,Private,171467,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Male,0,0,48,United-States,>50K +30,Private,341187,7th-8th,4,Separated,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +38,Private,119177,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +75,Private,104896,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,2653,0,20,United-States,<=50K +17,Private,342752,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +79,?,76641,Masters,14,Married-civ-spouse,?,Husband,White,Male,20051,0,40,Poland,>50K +20,Private,47541,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +25,Private,233461,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Private,303954,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +19,Private,163015,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +21,Private,75763,Some-college,10,Married-civ-spouse,Sales,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +19,Private,43003,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,328239,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,130856,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +47,Self-emp-not-inc,190072,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Iran,>50K +59,Private,170148,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +50,Private,104501,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-inc,213140,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +33,Local-gov,175509,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,173611,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,148995,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,30,United-States,>50K +24,Private,64520,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,139822,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +24,Private,258700,5th-6th,3,Never-married,Farming-fishing,Other-relative,Black,Male,0,0,40,Mexico,<=50K +29,Private,34796,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,124963,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +24,Private,65743,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,Private,161087,Some-college,10,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,45,Jamaica,<=50K +63,?,424591,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Federal-gov,203836,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +58,State-gov,110199,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,316059,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +42,Private,255667,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +39,Private,193689,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,60722,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +39,Private,187847,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,233275,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Private,215404,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,15024,0,40,United-States,>50K +45,Private,201865,Bachelors,13,Married-spouse-absent,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,118889,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,State-gov,368739,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,123833,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,1408,40,United-States,<=50K +38,Private,171344,11th,7,Married-spouse-absent,Transport-moving,Own-child,White,Male,0,0,36,Mexico,<=50K +39,Private,153976,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,374883,Assoc-voc,11,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +17,Private,167658,12th,8,Never-married,Sales,Own-child,White,Female,0,0,6,United-States,<=50K +31,Private,348504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,258509,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,24,United-States,<=50K +47,State-gov,108890,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,1831,0,38,United-States,<=50K +28,Private,188236,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,?,355571,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,425049,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +29,Private,142555,Masters,14,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,42,United-States,<=50K +42,Self-emp-not-inc,29320,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,0,0,60,United-States,>50K +52,Federal-gov,207841,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,187329,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,270973,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,197332,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,46,United-States,>50K +21,?,175166,Some-college,10,Never-married,?,Own-child,White,Female,2176,0,40,United-States,<=50K +45,Local-gov,160187,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,197918,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +74,Private,192290,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,20,United-States,<=50K +29,Private,241895,HS-grad,9,Married-civ-spouse,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Local-gov,164515,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,147206,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,45,United-States,>50K +23,Self-emp-inc,306868,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Local-gov,169837,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +61,?,124648,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,185057,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,>50K +23,Private,240049,Preschool,1,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K +18,Private,164441,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +38,Private,179314,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,319854,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,4650,0,35,United-States,<=50K +19,Self-emp-inc,148955,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,35,South,<=50K +23,Private,32950,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,4101,0,40,United-States,<=50K +37,Private,206699,HS-grad,9,Divorced,Tech-support,Own-child,White,Male,0,0,45,United-States,<=50K +25,Private,385646,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,31438,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,43,?,<=50K +45,Private,168598,12th,8,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3103,0,40,United-States,>50K +32,Private,97306,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,48,United-States,<=50K +65,?,106910,11th,7,Divorced,?,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +18,Self-emp-not-inc,29582,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,220284,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,40,Mexico,<=50K +29,Private,110226,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,65,?,<=50K +53,Private,240914,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,115496,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +27,Private,105817,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +24,State-gov,330836,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,36327,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,33423,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +45,Private,75673,Assoc-voc,11,Widowed,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +36,Private,185744,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,35,United-States,>50K +36,Private,186035,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +44,Local-gov,196456,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,1669,40,United-States,<=50K +24,Private,111450,HS-grad,9,Never-married,Transport-moving,Unmarried,Black,Male,0,0,40,United-States,<=50K +39,Private,115289,Some-college,10,Divorced,Sales,Own-child,White,Male,0,1380,70,United-States,<=50K +50,Private,74879,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,117312,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K +58,Private,272902,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Self-emp-inc,220230,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,48,United-States,<=50K +24,Private,90934,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +52,Self-emp-inc,234286,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +46,Private,364548,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,8614,0,40,United-States,>50K +50,Self-emp-inc,283676,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +34,Private,195602,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +40,Private,70761,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +53,Private,142717,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,124242,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +58,?,53481,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K +26,Private,287797,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,188274,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,171968,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +78,?,74795,Assoc-acdm,12,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +36,Private,218490,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Germany,>50K +43,Local-gov,94937,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,28,United-States,<=50K +60,Private,109511,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,269527,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +50,Self-emp-inc,201689,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,63,?,>50K +34,Self-emp-not-inc,120672,7th-8th,4,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,10,United-States,<=50K +46,Private,130779,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +46,Local-gov,441542,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +69,Private,114801,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,180284,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,27444,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +61,Private,180382,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3411,0,45,United-States,<=50K +56,Private,143266,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +47,Private,139268,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,126208,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +37,Private,186191,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,46,United-States,<=50K +51,Private,197163,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,2559,50,United-States,>50K +44,State-gov,193524,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +33,Private,181388,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,124963,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,>50K +24,Private,188925,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,149230,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +40,Private,388725,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,113543,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +61,?,187636,Bachelors,13,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Self-emp-inc,267763,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,<=50K +69,Federal-gov,143849,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +41,Self-emp-not-inc,97277,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,10,United-States,<=50K +40,Private,199303,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,124852,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,50053,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +53,Private,97005,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,>50K +90,?,175444,7th-8th,4,Separated,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +39,Private,337898,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +51,Federal-gov,124076,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Federal-gov,277420,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,>50K +51,Private,280278,10th,6,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +17,Private,241185,12th,8,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +42,Private,202188,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,1741,50,United-States,<=50K +42,Private,198422,Some-college,10,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +29,Private,82242,Prof-school,15,Never-married,Prof-specialty,Unmarried,White,Male,27828,0,45,Germany,>50K +33,Private,178429,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +47,Private,185866,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,?,>50K +43,Private,212847,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Self-emp-not-inc,219661,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,9,United-States,>50K +40,Private,321856,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,>50K +21,Private,313873,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +31,Private,144064,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,139586,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +32,Private,419691,12th,8,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +66,?,212759,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,6767,0,20,United-States,<=50K +27,Private,195562,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,20,United-States,<=50K +40,Private,205706,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +27,Private,131310,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +18,Private,54440,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +43,Private,200734,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +52,Private,81859,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +31,Private,159589,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,85,United-States,<=50K +28,Private,300915,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +44,Private,185057,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Self-emp-not-inc,42044,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,84,United-States,<=50K +35,Private,166416,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +42,Private,212737,9th,5,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +18,Private,236069,10th,6,Never-married,Other-service,Own-child,Black,Male,0,0,10,United-States,<=50K +46,Self-emp-inc,216414,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,60,United-States,>50K +54,Federal-gov,27432,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +54,Private,145419,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1672,50,United-States,<=50K +56,Private,147202,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,Germany,<=50K +27,Private,29261,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +26,Private,359543,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +41,Local-gov,227644,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,90021,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,<=50K +32,Private,188154,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,110142,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,186415,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,65,United-States,<=50K +37,Private,175720,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,172865,5th-6th,3,Never-married,Farming-fishing,Own-child,White,Male,0,0,25,Mexico,<=50K +46,Private,35969,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,51,United-States,<=50K +24,Private,433330,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Self-emp-inc,160261,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Male,0,0,35,Taiwan,<=50K +55,Private,189528,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +64,Local-gov,113324,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Local-gov,118500,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,Private,89681,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,99,United-States,<=50K +46,Federal-gov,199925,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,102308,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +18,Private,444607,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,176998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,?,94559,Bachelors,13,Married-civ-spouse,?,Wife,Other,Female,7688,0,50,?,>50K +34,State-gov,366198,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Germany,>50K +35,Private,180686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,40,United-States,<=50K +26,Private,108019,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,3325,0,40,United-States,<=50K +24,Private,153542,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,35,United-States,<=50K +45,Self-emp-not-inc,210364,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,80,United-States,>50K +36,Private,185394,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,34,United-States,<=50K +44,Private,222703,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Nicaragua,<=50K +23,Private,183945,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +57,Private,161964,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +41,Self-emp-not-inc,375574,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,Mexico,>50K +20,Local-gov,312427,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,30,Puerto-Rico,<=50K +32,Private,53373,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +60,Private,166330,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,99999,0,40,United-States,>50K +38,Self-emp-inc,124665,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,20,United-States,<=50K +29,Private,146719,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,45,United-States,<=50K +22,Private,306593,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,156687,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,30,India,<=50K +40,Local-gov,153489,HS-grad,9,Married-civ-spouse,Other-service,Other-relative,White,Male,3137,0,40,United-States,<=50K +59,Private,231377,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,45,United-States,>50K +45,State-gov,127089,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +76,Local-gov,329355,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,13,United-States,<=50K +45,Private,178319,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +49,Local-gov,304246,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,70,United-States,<=50K +36,Local-gov,174640,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,60,United-States,>50K +22,Private,148294,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +47,Private,298037,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +26,Private,98155,HS-grad,9,Married-AF-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +21,Private,102766,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,78529,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,136309,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,275357,Assoc-voc,11,Never-married,Tech-support,Own-child,White,Female,0,0,25,United-States,<=50K +31,Self-emp-not-inc,33117,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,England,<=50K +57,Local-gov,199546,Masters,14,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,Private,184128,11th,7,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +36,Private,337039,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,Black,Male,14344,0,40,England,>50K +66,Private,126511,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +34,Local-gov,325792,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +80,?,91901,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +21,Private,119474,HS-grad,9,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +40,Private,153238,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,32,United-States,>50K +49,Local-gov,321851,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Self-emp-not-inc,108557,Some-college,10,Divorced,Sales,Not-in-family,White,Female,3325,0,60,United-States,<=50K +19,State-gov,67217,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,594,0,24,United-States,<=50K +42,Private,195508,11th,7,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +59,Private,102193,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +63,Private,20323,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,122206,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Private,200652,9th,5,Divorced,Other-service,Other-relative,White,Female,0,0,35,United-States,<=50K +42,Private,173590,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1628,40,United-States,<=50K +19,Private,184121,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +45,Local-gov,53123,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +47,Private,175990,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,>50K +47,Private,316101,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,34080,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,England,<=50K +49,Self-emp-not-inc,219718,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +36,Private,126954,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,99185,HS-grad,9,Widowed,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +21,?,40052,Some-college,10,Never-married,?,Not-in-family,White,Male,0,2001,45,United-States,<=50K +39,Private,120074,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Self-emp-not-inc,77336,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,60981,Some-college,10,Never-married,Sales,Own-child,White,Female,2176,0,35,United-States,<=50K +59,Private,77884,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +50,Private,65408,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +31,Private,173279,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +52,?,318351,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +41,Self-emp-not-inc,157686,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +45,Private,277434,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Male,0,0,40,United-States,>50K +54,Local-gov,184620,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,34443,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,25,United-States,<=50K +50,Private,268553,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,40,United-States,>50K +20,?,41356,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,32,United-States,<=50K +43,Private,459342,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,148549,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,254293,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,45,United-States,<=50K +54,Private,104501,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +26,Private,238367,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,180439,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-inc,100029,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +54,Private,215990,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,44,United-States,>50K +32,State-gov,111567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,49,United-States,>50K +46,Private,319163,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +60,?,160155,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K +52,Local-gov,378045,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +44,Private,177083,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-inc,119891,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1672,40,United-States,<=50K +57,Private,127779,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,299353,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,63861,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,112403,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,35,United-States,<=50K +49,Private,83610,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,66,United-States,>50K +28,Private,452808,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,176871,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,100651,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,1980,40,United-States,<=50K +17,Private,266134,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +54,Local-gov,196307,10th,6,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,87891,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,182314,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +55,?,136819,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,181666,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Own-child,White,Female,0,0,40,?,<=50K +37,Private,179671,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,27494,HS-grad,9,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,48,United-States,>50K +38,Private,338320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Canada,<=50K +51,Private,199688,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,96635,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +24,Private,165064,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,109856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +33,Private,82393,HS-grad,9,Never-married,Craft-repair,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +31,Private,209538,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,209891,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,50,United-States,<=50K +32,Self-emp-not-inc,56026,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,45,United-States,<=50K +35,Private,210844,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +43,Private,117158,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +40,Private,193144,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,36,United-States,<=50K +19,Self-emp-not-inc,137578,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,53,United-States,<=50K +23,Private,234108,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,32,United-States,<=50K +40,Private,155767,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +59,Private,110820,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,>50K +43,Private,403276,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,147269,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,?,<=50K +53,Private,123092,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,165673,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +68,Self-emp-inc,182131,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,10605,0,20,United-States,>50K +41,Private,204415,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,>50K +32,Self-emp-not-inc,92531,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +25,State-gov,157028,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,228649,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,147253,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K +33,Private,160784,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Local-gov,163189,Some-college,10,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +29,Private,146343,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +20,Private,225811,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,23,United-States,<=50K +68,State-gov,202699,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2377,42,?,>50K +58,Private,374108,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,93930,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,412248,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +30,Private,427474,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +67,State-gov,160158,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,8,United-States,<=50K +26,Private,159603,Assoc-acdm,12,Never-married,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +53,Self-emp-not-inc,101017,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +27,Local-gov,163862,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +29,Without-pay,212588,Some-college,10,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +38,State-gov,321943,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,317702,9th,5,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +48,Private,287480,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +52,Private,135607,Some-college,10,Widowed,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K +28,Private,168514,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,88642,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +28,Private,227104,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,157289,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,213321,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Private,294907,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,251411,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +20,Private,183594,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,189565,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,2174,0,50,United-States,<=50K +55,Private,217802,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,25,United-States,<=50K +20,Private,388156,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,24,United-States,<=50K +54,Private,447555,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,204098,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +43,Private,193882,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,55,United-States,<=50K +17,?,89870,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +48,State-gov,49595,Masters,14,Divorced,Protective-serv,Not-in-family,White,Male,0,0,72,United-States,<=50K +34,Private,228873,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +66,?,108185,9th,5,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,176027,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,?,405374,Some-college,10,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,39606,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Private,178353,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +58,Private,160662,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Self-emp-inc,196328,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,Jamaica,<=50K +45,Private,20534,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,0,41,United-States,<=50K +29,Self-emp-inc,156815,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,360252,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,245056,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +33,Local-gov,422718,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,118081,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,3103,0,42,United-States,<=50K +25,Private,262978,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +25,Private,187577,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +69,?,259323,Prof-school,15,Divorced,?,Not-in-family,White,Male,0,0,5,United-States,<=50K +37,Private,160920,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,194247,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +39,Private,134367,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,24,United-States,>50K +17,Private,123335,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +27,Local-gov,332249,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,358124,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +55,Private,208019,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +39,Private,318452,11th,7,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,207779,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,238376,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +51,Private,673764,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +67,State-gov,239705,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,12,?,<=50K +40,Private,133974,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,138285,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +23,Private,152140,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Local-gov,287920,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +51,Private,289572,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +43,State-gov,78765,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +25,State-gov,99076,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,2597,0,50,United-States,<=50K +36,Self-emp-not-inc,224886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,2407,0,40,United-States,<=50K +58,Private,206532,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,129529,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Local-gov,202473,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,162312,HS-grad,9,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,40,South,<=50K +45,Private,72844,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,46,United-States,<=50K +49,Private,206947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,64112,12th,8,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,State-gov,20057,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,38,Philippines,<=50K +42,State-gov,222884,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,132683,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,50,United-States,<=50K +73,?,177773,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,15,United-States,<=50K +59,Self-emp-not-inc,144071,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,2580,0,15,El-Salvador,<=50K +28,Private,148429,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2885,0,40,United-States,<=50K +19,Private,168601,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +31,State-gov,78291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Federal-gov,243929,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,48,United-States,<=50K +21,Private,215039,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,13,?,<=50K +47,Self-emp-not-inc,185673,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,121142,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +41,Private,173858,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +59,?,87247,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,England,<=50K +43,Private,334991,Some-college,10,Separated,Transport-moving,Unmarried,White,Male,4934,0,51,United-States,>50K +48,Private,93476,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,2001,40,United-States,<=50K +44,Private,174283,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +44,Private,128676,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +24,Private,205844,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +28,Private,62535,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,<=50K +50,Private,240612,HS-grad,9,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,10,United-States,<=50K +33,Private,176992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,254127,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,50,United-States,<=50K +30,?,138744,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,128460,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +21,State-gov,56582,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,10,United-States,<=50K +52,Private,153751,9th,5,Separated,Other-service,Not-in-family,Black,Female,0,0,30,United-States,<=50K +26,Private,284343,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,State-gov,312692,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,12,United-States,<=50K +28,Private,111520,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Nicaragua,<=50K +50,Self-emp-inc,304955,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +28,Private,288598,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +61,Self-emp-not-inc,117387,11th,7,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +32,Private,230484,7th-8th,4,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Federal-gov,319280,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Local-gov,186416,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Local-gov,147372,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,2444,40,United-States,>50K +36,Private,145933,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,2258,70,United-States,<=50K +28,Private,110164,Some-college,10,Divorced,Other-service,Other-relative,Black,Male,0,0,24,United-States,<=50K +49,Private,225454,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +61,Self-emp-not-inc,220342,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +41,Self-emp-not-inc,144002,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +55,Private,225365,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +36,Private,187983,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +21,Private,89991,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,225913,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +49,Self-emp-inc,229737,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,37,United-States,>50K +59,Private,145574,11th,7,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,274363,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,80,United-States,>50K +59,Private,365390,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,266467,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +42,Private,183384,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Local-gov,112797,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,<=50K +45,Federal-gov,76008,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +36,Private,156780,HS-grad,9,Never-married,Sales,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +42,Local-gov,186909,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +25,Private,25497,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,102771,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +58,Self-emp-not-inc,248841,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +39,Private,30916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,123270,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Self-emp-not-inc,210165,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,222596,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,50,United-States,>50K +53,Self-emp-inc,188067,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,119592,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,2824,40,?,>50K +27,Private,250314,9th,5,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,Guatemala,<=50K +60,Private,205934,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +46,Private,186172,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +56,Self-emp-inc,98418,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,40,United-States,>50K +36,Private,329980,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,40,United-States,>50K +56,Private,147653,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +35,?,195946,Some-college,10,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +29,Self-emp-inc,168221,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,70,United-States,<=50K +19,Private,151801,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,39,United-States,<=50K +38,Private,177154,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +40,Federal-gov,73883,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +52,Private,175714,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +22,Private,43535,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +32,State-gov,104509,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +27,Private,118230,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,152046,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,Guatemala,<=50K +36,Private,52327,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,40,Iran,>50K +22,Private,218886,12th,8,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,84119,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,189674,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +22,Private,222993,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Male,0,0,54,United-States,<=50K +29,Private,47429,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +42,Private,144995,Preschool,1,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,25,United-States,<=50K +45,Private,187969,Assoc-voc,11,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +33,Private,288398,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +39,Private,114591,Some-college,10,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,167737,12th,8,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Local-gov,248834,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +30,Private,165686,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Self-emp-not-inc,40200,Some-college,10,Widowed,Craft-repair,Not-in-family,Black,Male,0,0,35,United-States,<=50K +43,Self-emp-inc,117158,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +47,Local-gov,216657,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,>50K +61,Private,124242,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,India,<=50K +39,Local-gov,239119,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Dominican-Republic,<=50K +47,Private,190072,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,50,United-States,<=50K +19,Private,378114,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,25,United-States,<=50K +37,Private,236990,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K +31,Private,101761,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,51,United-States,<=50K +69,Self-emp-not-inc,37745,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +22,?,424494,Some-college,10,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +29,Private,130438,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,100605,Some-college,10,Never-married,Machine-op-inspct,Own-child,Other,Male,0,0,14,United-States,<=50K +42,Private,220776,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,Poland,<=50K +30,Local-gov,154950,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +28,Private,192283,Masters,14,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,80,United-States,>50K +27,Private,210765,Assoc-voc,11,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,147476,HS-grad,9,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,State-gov,193241,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1651,40,United-States,<=50K +22,Private,109053,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,265618,HS-grad,9,Separated,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Local-gov,172855,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,1887,40,United-States,>50K +27,Private,68848,Bachelors,13,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Private,229051,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,37,United-States,<=50K +27,Private,106039,Bachelors,13,Divorced,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +25,Private,112835,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,?,205396,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +32,Private,283400,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,Private,195739,10th,6,Widowed,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K +50,Private,36480,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,303291,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +34,Private,293900,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,Black,Male,0,0,55,United-States,<=50K +57,Self-emp-not-inc,165922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,65738,Masters,14,Never-married,Other-service,Not-in-family,White,Female,0,0,32,United-States,<=50K +49,Private,175070,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,339814,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,40,United-States,>50K +26,Private,150132,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +31,Private,377374,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,Japan,<=50K +60,Self-emp-not-inc,166153,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,110171,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +26,Private,94477,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,55,United-States,>50K +27,Private,194243,Prof-school,15,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,106347,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +59,Private,214865,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +19,?,185619,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,96445,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +22,Private,102632,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,209034,Assoc-acdm,12,Married-civ-spouse,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,State-gov,153486,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +43,Private,144371,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,>50K +24,Private,186213,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +60,Private,188236,10th,6,Widowed,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,418405,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,125796,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,183304,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,99,United-States,>50K +34,Private,329587,10th,6,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Local-gov,182570,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +38,Private,446654,9th,5,Married-spouse-absent,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +34,Self-emp-not-inc,254304,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4508,0,90,United-States,<=50K +53,Local-gov,131258,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +23,Private,103632,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,241895,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,244945,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,20795,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +17,Private,347322,10th,6,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Local-gov,103995,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,54,United-States,<=50K +32,Private,53206,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +43,?,387839,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,United-States,<=50K +18,Private,57108,11th,7,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K +62,Private,177791,10th,6,Divorced,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,33794,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,249935,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +73,Self-emp-not-inc,241121,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,98586,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +26,Private,181920,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +23,Private,434467,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +30,Private,113364,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Vietnam,<=50K +51,Private,249706,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,95455,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +39,Private,209867,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,13550,0,45,United-States,>50K +35,Self-emp-inc,79586,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +41,Private,289669,HS-grad,9,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,347166,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,4650,0,40,United-States,<=50K +40,Private,53835,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +46,Local-gov,14878,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +31,Private,266126,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +41,Self-emp-inc,146659,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Honduras,<=50K +42,Private,125280,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K +23,Private,173535,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +21,?,77665,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +49,Private,280525,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +53,Private,479621,Assoc-voc,11,Divorced,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Local-gov,194630,Bachelors,13,Never-married,Protective-serv,Not-in-family,White,Female,4787,0,43,United-States,>50K +36,Private,247600,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,40,Taiwan,<=50K +32,Private,258406,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,72,Mexico,<=50K +20,Private,107746,11th,7,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,Guatemala,<=50K +17,?,47407,11th,7,Never-married,?,Own-child,White,Male,0,0,10,United-States,<=50K +22,Private,229987,Some-college,10,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Female,0,0,32,United-States,<=50K +25,Private,312338,Assoc-voc,11,Never-married,Craft-repair,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +58,Private,225394,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,<=50K +24,Private,373718,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +48,State-gov,120131,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,8614,0,40,United-States,>50K +20,Private,472789,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,El-Salvador,<=50K +60,Self-emp-not-inc,27886,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Private,138352,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +52,Private,123011,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +36,Private,306567,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,40,United-States,>50K +46,Local-gov,187749,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +22,Private,260594,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,25,United-States,<=50K +19,Private,236879,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K +37,Private,186808,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +30,Private,373213,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,>50K +44,Private,187629,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,25,United-States,<=50K +63,?,106648,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +22,Private,305781,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,45,Canada,<=50K +31,Self-emp-inc,256362,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3908,0,50,United-States,<=50K +17,Private,239947,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,349041,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,Private,105252,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,182715,7th-8th,4,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,166210,HS-grad,9,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +20,Private,113200,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,6,United-States,<=50K +27,Private,142075,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,24,United-States,<=50K +35,Private,454843,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +19,Private,142219,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,112512,12th,8,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +43,Private,212894,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +62,State-gov,265201,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,251905,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,2339,40,Canada,<=50K +18,Private,170627,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +59,Private,354037,Prof-school,15,Married-civ-spouse,Transport-moving,Husband,Black,Male,15024,0,50,United-States,>50K +37,Private,259089,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,21856,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Local-gov,207946,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +29,Private,77009,11th,7,Separated,Sales,Not-in-family,White,Female,0,2754,42,United-States,<=50K +33,Private,36539,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +62,Private,176811,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,456062,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,55,United-States,>50K +28,Private,277746,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,288132,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +46,Federal-gov,344415,Masters,14,Married-civ-spouse,Armed-Forces,Husband,White,Male,0,1887,40,United-States,>50K +54,Self-emp-inc,206964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1977,40,United-States,>50K +34,Private,198091,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,<=50K +67,?,150264,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,20,Canada,>50K +62,Private,588484,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +30,Private,113364,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Poland,<=50K +19,Private,270551,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +49,?,31478,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,99,United-States,<=50K +27,Private,190525,Assoc-voc,11,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,45,United-States,<=50K +36,Private,153066,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +52,Private,150393,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +47,Private,99911,12th,8,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +57,Local-gov,343447,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Private,169482,Some-college,10,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +56,?,32855,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,194501,11th,7,Widowed,Other-service,Own-child,White,Female,0,0,47,United-States,<=50K +53,Private,177705,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +31,Private,123983,Some-college,10,Separated,Sales,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K +41,Private,138975,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,45,United-States,>50K +45,Local-gov,235431,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +63,?,83043,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2179,45,United-States,<=50K +45,State-gov,130206,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +23,Private,210053,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +39,Local-gov,249392,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K +31,Private,87418,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-not-inc,190387,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +54,Private,176240,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,7688,0,60,United-States,>50K +22,?,211013,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,Mexico,<=50K +40,Local-gov,105862,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,5455,0,40,United-States,<=50K +55,Self-emp-not-inc,185195,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,173495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-inc,78634,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,147284,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,99,United-States,>50K +46,Self-emp-not-inc,82572,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,154641,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Local-gov,39236,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,594,0,25,United-States,<=50K +17,?,64785,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +48,Self-emp-not-inc,179337,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,England,<=50K +73,Private,173047,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,15,United-States,<=50K +25,Private,264012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +53,Federal-gov,227836,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,321327,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,45,United-States,>50K +45,Self-emp-inc,108100,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,99999,0,25,?,>50K +37,Private,146398,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +30,Private,324120,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,367329,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,State-gov,301582,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +75,?,222789,Bachelors,13,Widowed,?,Not-in-family,White,Female,0,0,6,United-States,<=50K +58,Private,170108,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,82297,7th-8th,4,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,50,United-States,<=50K +62,Local-gov,180162,9th,5,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,24,United-States,<=50K +45,Local-gov,348172,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,7298,0,40,United-States,>50K +38,Private,809585,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-not-inc,67728,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +70,?,163057,HS-grad,9,Widowed,?,Not-in-family,White,Female,2009,0,40,United-States,<=50K +42,Self-emp-not-inc,102069,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +47,Local-gov,149700,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K +42,Self-emp-not-inc,109273,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +43,Private,393354,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,38,United-States,>50K +37,Private,226947,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,State-gov,86805,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7298,0,39,United-States,>50K +27,Private,493689,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,France,<=50K +54,Private,299324,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,Mexico,<=50K +48,Self-emp-not-inc,353012,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +29,Private,174419,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +29,Private,209472,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,38,United-States,<=50K +37,Private,295127,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,47,United-States,<=50K +55,Self-emp-inc,182273,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +67,Private,228200,HS-grad,9,Married-civ-spouse,Priv-house-serv,Wife,Black,Female,0,0,20,United-States,<=50K +51,Private,263836,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,178948,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +41,Private,43945,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +64,Self-emp-not-inc,253296,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +23,Private,240137,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +49,Private,24712,Bachelors,13,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Philippines,<=50K +38,Self-emp-not-inc,342635,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +62,Private,115387,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,182998,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,10,United-States,<=50K +70,?,133248,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,14,United-States,<=50K +45,Self-emp-not-inc,246891,Masters,14,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,30035,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,175232,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +50,Self-emp-inc,140516,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,64980,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,55,United-States,>50K +30,Private,155781,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +52,Federal-gov,192065,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,227890,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,50,United-States,>50K +62,Self-emp-not-inc,162249,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +31,Private,165949,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Private,445382,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Private,211948,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,1590,40,United-States,<=50K +53,Private,163678,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Private,89413,12th,8,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,289700,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,United-States,<=50K +51,Private,163826,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +49,Private,185385,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Private,169031,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,54611,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,130620,11th,7,Married-spouse-absent,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,India,<=50K +26,Private,328663,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,40,United-States,<=50K +50,Private,169646,Bachelors,13,Separated,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +35,Private,186815,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,103925,Some-college,10,Never-married,Tech-support,Other-relative,White,Female,0,0,40,United-States,<=50K +53,?,150393,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,1504,35,United-States,<=50K +20,Private,82777,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,16,United-States,<=50K +31,Local-gov,178449,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,51672,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +46,Private,380162,HS-grad,9,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +21,Private,212114,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,8,United-States,<=50K +41,Self-emp-not-inc,100800,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,70,United-States,>50K +30,Private,162572,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,70,United-States,>50K +66,Self-emp-inc,179951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +37,Self-emp-inc,190759,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +74,State-gov,236012,7th-8th,4,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,State-gov,164023,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,70,United-States,>50K +51,Private,172046,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +33,Private,182926,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +30,Private,151001,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,Mexico,<=50K +47,Self-emp-inc,362835,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +49,Private,97883,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,91911,HS-grad,9,Divorced,Craft-repair,Unmarried,Black,Female,0,0,48,United-States,<=50K +24,Private,278130,Assoc-voc,11,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,146310,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,379412,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,37987,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +46,Self-emp-inc,256909,HS-grad,9,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,3325,0,45,United-States,<=50K +37,State-gov,482927,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,65,United-States,<=50K +48,State-gov,44434,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,61,United-States,>50K +25,Private,255474,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,303674,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,3103,0,20,United-States,<=50K +44,?,195488,12th,8,Separated,?,Not-in-family,White,Female,0,0,36,Puerto-Rico,<=50K +58,?,114362,Some-college,10,Married-civ-spouse,?,Husband,Black,Male,0,0,30,United-States,<=50K +27,Private,341504,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +69,Private,197080,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Male,0,0,8,United-States,<=50K +38,Private,102945,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +47,Private,503454,12th,8,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,87561,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +46,Private,270693,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,3674,0,30,United-States,<=50K +27,Private,252813,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +19,Private,574271,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +18,Private,184016,HS-grad,9,Married-civ-spouse,Priv-house-serv,Not-in-family,White,Female,3103,0,40,United-States,<=50K +24,Private,235071,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +32,Private,158242,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,299810,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +19,Private,277695,Preschool,1,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Hong,<=50K +28,Private,23324,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Local-gov,316582,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,<=50K +38,Self-emp-not-inc,176657,Some-college,10,Separated,Sales,Not-in-family,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K +42,Private,93770,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,>50K +31,Private,124569,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +46,Private,117313,9th,5,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Ireland,<=50K +53,Private,53812,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,54,United-States,<=50K +21,Private,170456,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +48,Self-emp-not-inc,115971,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,31432,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,3103,0,52,United-States,>50K +30,Private,112383,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,283092,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Male,0,0,40,Jamaica,<=50K +32,Private,27207,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,46712,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,State-gov,19520,Doctorate,16,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +56,Private,98630,7th-8th,4,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,159897,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,37,United-States,<=50K +38,Private,136629,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Iran,<=50K +19,Private,407759,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,221884,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +49,Private,148475,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,274964,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +50,Self-emp-inc,160107,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +43,Private,167265,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,>50K +34,Private,148226,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K +28,Private,153869,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,208881,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,256953,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,44,United-States,<=50K +26,Private,100147,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +51,Local-gov,166461,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +35,Private,171327,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,297335,Assoc-acdm,12,Married-spouse-absent,Exec-managerial,Unmarried,Asian-Pac-Islander,Female,0,0,31,Laos,<=50K +63,?,133166,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,<=50K +31,Private,169589,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,Local-gov,273734,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +67,Private,158301,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,?,257117,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +63,Private,196725,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,24,United-States,<=50K +31,Private,137444,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +17,Private,286960,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +41,Local-gov,201435,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +53,Local-gov,216931,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,38,United-States,<=50K +44,Local-gov,212665,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,99,United-States,<=50K +24,Private,462820,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,198841,Assoc-voc,11,Divorced,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K +61,Private,219886,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +31,Private,163003,Assoc-acdm,12,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +44,Private,112262,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,5178,0,40,United-States,>50K +56,Private,213105,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,36,United-States,>50K +66,Private,302072,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,338105,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +69,Self-emp-not-inc,58213,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,45,United-States,>50K +64,Private,125684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,215419,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,36,United-States,>50K +43,Local-gov,413760,Some-college,10,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Private,205339,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K +19,Private,236570,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,16,United-States,<=50K +59,Self-emp-not-inc,247552,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Federal-gov,184007,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,341187,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +56,Private,220187,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +28,Private,198258,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,175821,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,34,United-States,<=50K +42,Private,92288,Masters,14,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +34,Private,261418,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,203319,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +68,Self-emp-not-inc,166083,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,109001,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +81,?,106765,Some-college,10,Widowed,?,Unmarried,White,Female,0,0,4,United-States,<=50K +22,Self-emp-not-inc,197387,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,284834,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,87535,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +17,Local-gov,175587,11th,7,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K +25,Private,242700,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,10520,0,50,United-States,>50K +23,Private,161478,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,23,United-States,<=50K +25,Private,51498,12th,8,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Private,220124,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,188503,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,60,United-States,>50K +44,Private,113324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,208872,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,34180,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,292023,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,141118,Bachelors,13,Married-spouse-absent,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,348592,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +38,Private,185203,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +52,Self-emp-not-inc,165278,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,116933,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +38,Private,237608,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,2444,45,United-States,>50K +35,Private,84787,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +67,Self-emp-not-inc,217892,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,10605,0,35,United-States,>50K +60,Private,325971,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,40,United-States,>50K +44,Private,206878,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,15,United-States,<=50K +38,Self-emp-not-inc,127772,HS-grad,9,Divorced,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +29,Private,208577,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +65,Private,344152,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,5556,0,50,United-States,>50K +33,Private,40681,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,?,95108,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,280603,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +43,Private,188436,Prof-school,15,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,134220,Assoc-voc,11,Divorced,Exec-managerial,Own-child,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +42,Private,177989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,164190,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +36,Private,90897,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,State-gov,33126,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +30,Private,270886,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,216129,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +33,Private,189368,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,>50K +19,?,141418,Some-college,10,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +19,Private,306225,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +35,Private,330664,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,191765,HS-grad,9,Divorced,Tech-support,Unmarried,Black,Female,0,0,35,United-States,<=50K +45,Private,289353,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,24,United-States,<=50K +25,Private,53147,Bachelors,13,Never-married,Exec-managerial,Own-child,Black,Male,0,0,50,United-States,<=50K +39,Self-emp-not-inc,122353,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,188767,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,239576,Masters,14,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K +52,Local-gov,155141,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +22,Private,64520,12th,8,Never-married,Transport-moving,Unmarried,White,Male,0,0,30,United-States,<=50K +23,Private,478994,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,155654,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,124052,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,<=50K +39,Private,245053,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +38,Private,183585,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,323639,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +55,Federal-gov,186791,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,284303,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K +23,Private,186666,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,200153,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,180931,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,30,United-States,<=50K +51,Self-emp-not-inc,183173,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-inc,120131,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Cuba,>50K +25,Self-emp-not-inc,263300,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,226443,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +18,Private,404868,11th,7,Never-married,Sales,Own-child,Black,Female,0,1602,20,United-States,<=50K +19,Private,208506,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,28,United-States,<=50K +32,Private,46746,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +49,Private,246183,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +40,?,165309,7th-8th,4,Separated,?,Not-in-family,White,Female,0,0,8,United-States,<=50K +43,Private,122749,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +71,Self-emp-inc,38822,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +59,Private,167963,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,273241,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +25,Private,120238,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,167990,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Ireland,<=50K +17,Private,225507,11th,7,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,15,United-States,<=50K +57,Self-emp-inc,125000,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +17,Self-emp-not-inc,174120,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +27,Private,230959,Bachelors,13,Never-married,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +41,Local-gov,132125,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +62,?,68461,Doctorate,16,Married-civ-spouse,?,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +19,Private,227178,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Private,165798,5th-6th,3,Divorced,Other-service,Unmarried,White,Female,0,0,40,Puerto-Rico,<=50K +39,Private,129573,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +30,Private,224377,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,179481,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +18,Private,434268,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +40,Self-emp-not-inc,173716,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +38,Self-emp-inc,244803,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,60,Cuba,>50K +24,Private,114230,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,188661,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,216093,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,124963,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Private,85341,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,193490,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,80058,Prof-school,15,Never-married,Exec-managerial,Own-child,White,Male,0,0,50,United-States,<=50K +41,Private,139907,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +51,Self-emp-inc,54342,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Male,27828,0,60,United-States,>50K +25,Private,188767,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,117222,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +61,Self-emp-inc,171831,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,2829,0,45,United-States,<=50K +35,Private,187119,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,70,United-States,<=50K +42,Local-gov,97277,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Local-gov,219760,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,16,United-States,<=50K +46,Private,63299,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +39,State-gov,171482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +18,?,344742,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,210869,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,80,United-States,<=50K +39,Private,38312,Some-college,10,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,>50K +47,Private,119939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +40,Private,83953,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +43,State-gov,101383,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,204374,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,176831,10th,6,Divorced,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +19,?,60688,Some-college,10,Never-married,?,Own-child,White,Male,0,0,35,United-States,<=50K +44,Federal-gov,251305,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,200947,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-not-inc,46704,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Private,119721,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,State-gov,58930,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,247750,HS-grad,9,Widowed,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +48,Private,67725,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +28,State-gov,200775,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +44,Private,183542,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +20,?,25139,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +51,Local-gov,123325,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,269786,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +36,Private,51089,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,136985,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +21,Private,129350,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +34,?,35595,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +36,Local-gov,61299,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,?,192321,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,80,United-States,<=50K +31,Private,257644,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,43,United-States,<=50K +44,Self-emp-not-inc,70884,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +49,Local-gov,159726,11th,7,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,174395,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Federal-gov,175534,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K +54,Local-gov,173050,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +27,Private,32519,Some-college,10,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,55,South,<=50K +18,Private,322999,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +68,Private,148874,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,44,United-States,<=50K +64,Private,43738,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,>50K +36,Private,195385,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +21,Private,149809,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +22,Private,51985,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +61,Private,105384,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,137591,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,10,Greece,<=50K +49,State-gov,324791,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +25,Private,184303,Some-college,10,Separated,Priv-house-serv,Other-relative,White,Female,0,0,30,El-Salvador,<=50K +66,?,314347,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,274010,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +22,Private,321031,HS-grad,9,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +57,Federal-gov,313929,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +41,Private,394669,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1741,40,United-States,<=50K +29,Private,152951,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,247115,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +47,Private,175958,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +22,Private,109039,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +59,Self-emp-inc,141326,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,>50K +42,State-gov,74334,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +64,Self-emp-not-inc,47462,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Federal-gov,182344,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +25,State-gov,295912,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +62,Private,311495,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,236746,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,45,United-States,>50K +21,Private,187643,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,282923,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +46,Private,501671,10th,6,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +44,Federal-gov,29591,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,2258,40,United-States,>50K +21,Private,301556,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +18,Private,187240,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,18,United-States,<=50K +39,Private,219483,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,5013,0,32,United-States,<=50K +33,Private,594187,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +63,Private,200474,1st-4th,2,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Local-gov,152795,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,52,United-States,>50K +17,Private,230789,9th,5,Never-married,Sales,Own-child,Black,Male,0,0,22,United-States,<=50K +45,Self-emp-inc,311231,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1485,50,United-States,>50K +31,Private,114691,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,194591,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,114691,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +51,State-gov,42017,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Local-gov,383384,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,29444,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +42,Federal-gov,53727,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,?,<=50K +38,Private,277022,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Columbia,<=50K +43,Local-gov,113324,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,342709,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,179203,12th,8,Never-married,Sales,Other-relative,White,Male,0,0,55,United-States,<=50K +46,Private,251474,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +50,Private,93730,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,37894,HS-grad,9,Separated,Other-service,Other-relative,White,Male,0,0,35,United-States,<=50K +18,State-gov,272918,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,15,United-States,<=50K +53,Private,151411,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +40,Private,210648,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,44,United-States,>50K +36,Self-emp-not-inc,347491,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +32,Private,255885,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,>50K +39,Private,356838,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K +46,Private,216164,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +26,Local-gov,288781,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,42,United-States,<=50K +19,Private,439779,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +24,Private,161638,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Ecuador,<=50K +28,Private,190525,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +25,Local-gov,276249,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,147265,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,245090,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Nicaragua,<=50K +42,State-gov,219682,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +28,Private,392100,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,358682,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Male,0,0,50,?,<=50K +47,Private,262244,Bachelors,13,Never-married,Sales,Not-in-family,Black,Male,0,0,60,United-States,>50K +46,Private,171228,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3411,0,35,Guatemala,<=50K +21,Local-gov,218445,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +19,?,182609,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,25,United-States,<=50K +35,Private,509462,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Private,213258,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,118401,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +67,Self-emp-not-inc,45814,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,329733,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,>50K +26,Private,29957,Masters,14,Never-married,Tech-support,Other-relative,White,Male,0,0,25,United-States,<=50K +51,Private,215854,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +27,Private,327766,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,405765,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,>50K +39,Private,80680,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,177792,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,>50K +52,Private,273514,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,202373,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +27,Local-gov,332785,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,38,United-States,<=50K +46,Private,149640,7th-8th,4,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,40151,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +79,Self-emp-inc,183686,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +50,Federal-gov,32801,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,>50K +19,?,195282,HS-grad,9,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +43,Federal-gov,134026,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,2174,0,40,United-States,<=50K +51,Local-gov,96678,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,174533,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +65,Private,180807,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,991,0,20,United-States,<=50K +66,Private,186324,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,>50K +36,Self-emp-not-inc,257250,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +26,Private,212800,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Female,0,0,36,United-States,<=50K +28,Private,55360,Some-college,10,Never-married,Sales,Not-in-family,Black,Male,0,0,50,United-States,<=50K +39,Self-emp-not-inc,195253,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +43,Private,45156,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,435469,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,Mexico,<=50K +29,Private,231287,Some-college,10,Divorced,Tech-support,Unmarried,White,Male,0,0,40,United-States,<=50K +32,Private,168854,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,50,United-States,>50K +44,Self-emp-not-inc,185057,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,3325,0,40,United-States,<=50K +18,?,91670,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +60,Private,165517,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,73161,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +60,Private,178792,HS-grad,9,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,32897,11th,7,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,250967,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,41901,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1408,40,United-States,<=50K +49,Private,379779,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Private,217838,5th-6th,3,Separated,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +37,Self-emp-not-inc,137527,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,2559,60,United-States,>50K +43,Private,198965,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,38,United-States,>50K +41,Private,70645,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,4650,0,55,United-States,<=50K +37,Private,220644,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,40,?,<=50K +19,Private,175081,9th,5,Never-married,Craft-repair,Other-relative,White,Male,0,0,60,United-States,<=50K +29,Private,180299,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +40,Self-emp-not-inc,548664,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +53,Private,278114,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,394927,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +44,Self-emp-not-inc,127482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,England,>50K +29,Private,236938,Assoc-acdm,12,Divorced,Craft-repair,Unmarried,White,Female,0,0,38,United-States,<=50K +25,Private,232991,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Mexico,<=50K +38,Private,34378,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +48,Self-emp-inc,81513,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +18,Private,106780,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +50,Private,178596,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,1408,50,United-States,<=50K +37,Private,329026,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +48,Private,26490,Bachelors,13,Widowed,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +50,Private,338033,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +74,?,169303,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,6767,0,6,United-States,<=50K +24,Private,21154,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +34,Private,209449,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,389143,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,101260,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,198270,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,45781,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,134566,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,?,283806,9th,5,Divorced,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +68,?,286869,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,1668,40,?,<=50K +46,Private,422813,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +24,Local-gov,103277,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,50,United-States,<=50K +18,Private,201871,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +50,Self-emp-not-inc,167728,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Private,211517,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,118212,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,259846,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,3471,0,40,United-States,<=50K +57,Private,98926,Some-college,10,Widowed,Tech-support,Not-in-family,White,Female,0,0,16,United-States,<=50K +27,Private,207352,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +31,Private,206609,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,104509,Masters,14,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,170350,HS-grad,9,Divorced,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +56,Private,183884,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,110964,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1672,38,United-States,<=50K +35,State-gov,154410,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +63,?,257659,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,3,United-States,<=50K +28,Private,274679,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +38,Private,252662,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Self-emp-inc,356689,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,205218,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +35,Private,241306,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +53,Private,139127,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,175625,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,206459,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,176123,10th,6,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,India,<=50K +41,Private,111483,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,106118,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,>50K +18,Private,77845,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,1602,15,United-States,<=50K +19,Private,162094,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,216469,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,50,United-States,<=50K +56,Local-gov,381965,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +28,Private,145284,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +29,Private,242482,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +35,Self-emp-not-inc,160192,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +27,?,280699,Some-college,10,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Private,175942,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,55,?,>50K +18,Private,156950,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +53,Private,215572,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,173593,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,20,Canada,<=50K +55,Private,193374,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +45,Local-gov,334039,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Private,337664,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,113504,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +27,Private,177072,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,174503,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,214807,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,37,United-States,<=50K +41,Private,222596,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +23,Private,100345,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +22,Private,409230,12th,8,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,112497,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,25236,0,40,United-States,>50K +65,Self-emp-inc,115922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +59,?,375049,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,41,United-States,>50K +25,Private,243560,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,Columbia,<=50K +33,Local-gov,182971,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K +31,Private,127215,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +50,State-gov,276241,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +49,State-gov,175109,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +43,Private,498079,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Federal-gov,344394,Some-college,10,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +34,Private,99872,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,3103,0,40,India,>50K +23,Private,245302,Some-college,10,Divorced,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +63,Private,43313,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,188467,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,351278,Bachelors,13,Divorced,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +31,Private,182246,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,Private,79870,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Female,2597,0,40,Japan,<=50K +48,?,353824,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,?,>50K +31,Private,387116,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,36,Jamaica,<=50K +47,Private,34248,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +54,State-gov,198741,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +23,Private,32950,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,381153,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +46,Private,100067,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,>50K +34,Private,208785,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +31,Private,61559,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,176452,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Peru,<=50K +41,?,128700,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,328518,Assoc-voc,11,Never-married,Prof-specialty,Other-relative,White,Male,0,0,30,United-States,<=50K +30,?,201196,11th,7,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +23,Private,378546,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +24,Local-gov,212210,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,?,<=50K +59,Federal-gov,178660,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,235826,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +35,Self-emp-not-inc,22641,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +59,Private,316027,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,Cuba,<=50K +47,Private,431515,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,149770,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +42,Private,165916,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +29,Federal-gov,107411,Some-college,10,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,217961,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,45,Outlying-US(Guam-USVI-etc),<=50K +43,Self-emp-not-inc,350387,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,325372,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,156718,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,216472,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,20,United-States,<=50K +29,State-gov,106972,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +33,Private,131934,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Local-gov,365908,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,2105,0,40,United-States,<=50K +46,Local-gov,359193,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +35,Private,261012,Some-college,10,Married-spouse-absent,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,Private,272944,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +25,Private,113654,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K +35,Private,218955,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,115963,7th-8th,4,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,42,United-States,<=50K +39,Private,80638,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,84,United-States,>50K +37,Private,147258,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +22,Private,214635,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,42,United-States,<=50K +25,Private,200318,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +50,Private,138270,HS-grad,9,Married-civ-spouse,Sales,Wife,Black,Female,0,0,40,United-States,<=50K +64,Federal-gov,388594,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,?,>50K +33,Private,103435,Assoc-voc,11,Separated,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +59,Self-emp-inc,133201,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Italy,<=50K +24,Private,175183,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,99870,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,?,107479,9th,5,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +60,Private,113440,Bachelors,13,Divorced,Exec-managerial,Own-child,White,Male,0,0,60,United-States,<=50K +19,Private,85690,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,30,United-States,<=50K +23,Private,45713,Some-college,10,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +57,Self-emp-inc,376230,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,99999,0,40,United-States,>50K +36,Private,145576,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1977,40,Japan,>50K +17,?,67808,10th,6,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,113936,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,158291,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +27,Private,193898,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +43,Private,191982,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,55,United-States,<=50K +21,?,72953,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,271160,Assoc-voc,11,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,33087,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +29,Private,106153,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,29444,12th,8,Never-married,Farming-fishing,Not-in-family,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +37,Private,105021,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +38,Self-emp-not-inc,239045,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +34,Private,94413,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,20534,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,84,United-States,>50K +28,Private,350254,1st-4th,2,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,Mexico,<=50K +68,Private,194746,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,Cuba,<=50K +36,Private,269042,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +20,Private,447488,9th,5,Never-married,Other-service,Unmarried,White,Male,0,0,30,Mexico,<=50K +24,Private,267706,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,45,United-States,<=50K +38,Private,198216,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,227931,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,252646,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +47,Private,223342,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,2174,0,40,England,<=50K +28,Private,181776,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,<=50K +32,Private,132601,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +58,Private,205410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Self-emp-inc,185912,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,35,United-States,>50K +38,Private,292570,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,50,United-States,<=50K +43,Private,76460,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,295163,12th,8,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,27255,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,?,<=50K +23,Private,69847,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +25,Private,104993,9th,5,Never-married,Handlers-cleaners,Own-child,Black,Male,2907,0,40,United-States,<=50K +41,Private,322980,HS-grad,9,Separated,Adm-clerical,Not-in-family,Black,Male,2354,0,40,United-States,<=50K +24,?,390608,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,36,United-States,<=50K +41,Private,317539,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,195678,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,466502,7th-8th,4,Widowed,Other-service,Unmarried,White,Male,0,0,30,United-States,<=50K +28,Local-gov,220754,HS-grad,9,Separated,Transport-moving,Own-child,White,Female,0,0,25,United-States,<=50K +29,Private,202878,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,2042,40,United-States,<=50K +36,Private,343476,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +41,Self-emp-inc,93227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,1977,60,Taiwan,>50K +60,Self-emp-not-inc,38622,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +34,State-gov,173730,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +32,Private,178623,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,?,<=50K +27,Private,300783,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,42,United-States,>50K +60,Private,224644,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,191502,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,61885,12th,8,Divorced,Transport-moving,Other-relative,Black,Male,0,0,35,United-States,<=50K +34,Self-emp-not-inc,213887,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,Canada,>50K +36,Private,331395,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,145098,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Private,123075,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +19,Private,216804,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,33,United-States,<=50K +40,Private,188291,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +25,Private,33610,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,234901,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,349148,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,168443,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,211860,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,24,United-States,<=50K +35,Private,193961,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +36,Local-gov,52532,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +59,Self-emp-not-inc,75804,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,>50K +33,Self-emp-not-inc,176185,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,306779,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +48,Private,265192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +54,Private,139347,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,107682,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +37,Private,34173,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,128378,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,195638,Some-college,10,Separated,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,59287,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,162442,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +29,?,350603,10th,6,Never-married,?,Own-child,White,Female,0,0,38,United-States,<=50K +39,Private,344743,Some-college,10,Married-civ-spouse,Adm-clerical,Own-child,Black,Female,0,0,50,United-States,>50K +35,Private,112077,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,40,United-States,<=50K +26,Private,176795,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,>50K +51,Private,137815,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +31,Private,309620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,6,South,<=50K +39,Private,336880,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +26,Private,206600,11th,7,Never-married,Other-service,Other-relative,White,Male,0,0,30,Mexico,<=50K +25,Private,193051,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,35,United-States,<=50K +61,Federal-gov,229062,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1887,40,United-States,>50K +49,Private,62793,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +53,Private,264939,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,Mexico,<=50K +52,Private,370552,Preschool,1,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,El-Salvador,<=50K +52,Private,163678,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +74,?,89667,Bachelors,13,Widowed,?,Not-in-family,Other,Female,0,0,35,United-States,<=50K +50,Private,558490,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +29,Private,124680,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,13550,0,35,United-States,>50K +76,Private,208843,7th-8th,4,Widowed,Protective-serv,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,95078,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,169679,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,101320,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,168906,Assoc-acdm,12,Divorced,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,212582,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +66,?,170617,Masters,14,Widowed,?,Not-in-family,White,Male,0,0,6,United-States,<=50K +63,?,170529,Bachelors,13,Married-civ-spouse,?,Wife,Black,Female,0,0,45,United-States,<=50K +27,Private,99897,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,104892,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,2829,0,40,United-States,<=50K +43,Private,175224,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,Nicaragua,<=50K +23,Private,149704,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +37,Federal-gov,214542,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,167319,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,State-gov,43716,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,4,United-States,<=50K +28,Private,191935,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +70,?,158642,HS-grad,9,Widowed,?,Not-in-family,White,Female,2993,0,20,United-States,<=50K +35,Private,338611,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,136419,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,75,United-States,>50K +17,Private,72321,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,12,United-States,<=50K +41,Local-gov,189956,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,>50K +44,Private,403782,Assoc-voc,11,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +47,Private,456661,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +24,Private,279041,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,65716,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,189809,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,52,Jamaica,<=50K +62,Local-gov,223637,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +27,Local-gov,199343,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,<=50K +59,Private,139344,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +35,Private,119098,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,195025,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +28,Private,186720,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +28,Private,328923,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,38,United-States,<=50K +59,State-gov,159472,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,138662,Some-college,10,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +54,Local-gov,286342,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,>50K +39,Private,181705,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +41,Private,193882,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,216497,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K +32,Self-emp-inc,124919,Bachelors,13,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,50,Iran,>50K +62,Private,109463,Some-college,10,Separated,Sales,Unmarried,White,Female,0,1617,33,United-States,<=50K +58,Private,256274,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,326379,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +67,?,174995,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,2457,40,United-States,<=50K +31,Private,243142,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Local-gov,155118,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,70,United-States,>50K +54,Private,189607,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,36,United-States,<=50K +20,Private,39478,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,70,United-States,<=50K +35,Private,206951,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,127647,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,36,United-States,<=50K +38,Private,234298,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,6849,0,60,United-States,<=50K +42,Private,182302,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +44,State-gov,166597,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,33363,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +74,Self-emp-inc,167537,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +34,Private,179378,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,<=50K +50,State-gov,297551,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,52,United-States,<=50K +50,Private,198362,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +43,Private,240504,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,169662,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,?,164940,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,25,United-States,<=50K +61,Private,210488,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +21,Private,154835,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +27,Private,333296,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,30,?,<=50K +47,Private,192793,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Iran,>50K +39,Private,49436,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,1380,40,United-States,<=50K +33,Private,136331,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,509048,HS-grad,9,Never-married,Sales,Other-relative,Black,Female,0,0,37,United-States,<=50K +38,Private,318610,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,104521,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,247695,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +35,Private,219546,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,Germany,<=50K +21,Private,169699,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +49,State-gov,131302,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,44,United-States,<=50K +50,Private,171852,Bachelors,13,Separated,Prof-specialty,Own-child,Other,Female,0,0,40,United-States,<=50K +36,State-gov,340091,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,>50K +20,Private,204641,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +49,Private,213431,HS-grad,9,Separated,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,State-gov,377018,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +22,Private,184543,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +60,?,188236,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,233022,11th,7,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +21,Private,177420,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,40,United-States,<=50K +60,Self-emp-not-inc,21101,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +17,Private,52486,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +43,Private,183273,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,32,United-States,>50K +49,State-gov,36177,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +41,Private,124956,Bachelors,13,Separated,Prof-specialty,Not-in-family,Black,Female,99999,0,60,United-States,>50K +38,Private,102350,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +38,Private,165930,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,297574,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K +40,Private,120277,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,?,87569,Some-college,10,Separated,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,?,278220,Some-college,10,Never-married,?,Own-child,White,Female,0,1602,40,United-States,<=50K +40,Private,155972,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +46,State-gov,162852,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,64860,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,22,United-States,<=50K +36,Private,226013,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,5178,0,40,United-States,>50K +24,Private,322674,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +62,Private,202242,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +54,Private,175262,Preschool,1,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +23,Private,201682,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +60,Private,166330,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +18,Self-emp-inc,147612,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Female,0,0,8,United-States,<=50K +41,Local-gov,213154,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,40,United-States,<=50K +45,Local-gov,33798,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,State-gov,199198,Assoc-voc,11,Widowed,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,90915,Bachelors,13,Married-spouse-absent,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Self-emp-inc,337778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Yugoslavia,>50K +31,Private,187203,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +44,Private,261497,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K +33,Self-emp-not-inc,361817,HS-grad,9,Separated,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +62,Self-emp-not-inc,226546,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,16,United-States,<=50K +27,Private,100168,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +42,Federal-gov,272625,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,>50K +55,Private,254516,9th,5,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,37,United-States,<=50K +41,Private,207375,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Private,39092,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,4064,0,50,United-States,<=50K +45,Private,48271,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +67,Self-emp-not-inc,152102,HS-grad,9,Widowed,Farming-fishing,Not-in-family,White,Male,0,0,65,United-States,<=50K +25,Private,234665,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +30,Self-emp-inc,127651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,48,United-States,>50K +22,Private,180060,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +19,Private,32477,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,137658,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +61,Private,228287,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,159442,Prof-school,15,Never-married,Sales,Not-in-family,White,Female,13550,0,50,United-States,>50K +43,Private,33310,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Private,270546,HS-grad,9,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,20,United-States,<=50K +53,Federal-gov,290290,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Self-emp-inc,287037,12th,8,Divorced,Craft-repair,Not-in-family,White,Male,0,0,10,United-States,<=50K +36,Private,128516,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +55,Self-emp-not-inc,185195,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,<=50K +35,Federal-gov,49657,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +17,Private,98005,11th,7,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +55,Self-emp-not-inc,283635,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +36,Private,98360,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Local-gov,202872,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +54,Self-emp-not-inc,118365,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,10,United-States,<=50K +45,Self-emp-not-inc,184285,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +48,Private,345831,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +40,Local-gov,99679,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,>50K +31,Private,253354,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,190650,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +34,Private,287737,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1485,40,United-States,>50K +19,Private,204389,HS-grad,9,Never-married,Adm-clerical,Own-child,Other,Female,0,0,25,Puerto-Rico,<=50K +31,Federal-gov,294870,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,159442,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +55,Local-gov,161662,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +38,Private,52738,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,252024,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,Mexico,<=50K +27,Private,189702,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,407913,HS-grad,9,Separated,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,166527,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,20,United-States,<=50K +24,Self-emp-not-inc,34918,Assoc-voc,11,Never-married,Other-service,Unmarried,White,Female,0,0,38,United-States,<=50K +27,Private,142712,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,?,<=50K +18,Federal-gov,201686,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,4,United-States,<=50K +28,Local-gov,179759,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,94954,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Private,350498,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1258,20,United-States,<=50K +19,Private,201743,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +59,Self-emp-not-inc,119344,10th,6,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,36,United-States,<=50K +33,Private,149726,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,46,United-States,<=50K +28,Private,419146,7th-8th,4,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,Mexico,<=50K +34,Private,174789,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,2001,40,United-States,<=50K +41,Private,171234,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,55,United-States,<=50K +30,Private,206325,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +59,Private,202682,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,121055,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +47,Private,160187,HS-grad,9,Separated,Prof-specialty,Other-relative,Black,Female,14084,0,38,United-States,>50K +29,Private,84366,10th,6,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,Mexico,<=50K +60,Private,139391,Some-college,10,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,>50K +53,Local-gov,124094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,35,United-States,<=50K +41,Private,30759,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,137875,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +73,?,139049,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,22,United-States,>50K +20,Private,238384,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,340755,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,224947,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +33,State-gov,111994,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +25,Private,125491,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Female,0,0,34,United-States,<=50K +34,?,310525,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,10,United-States,<=50K +19,?,71592,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +40,Local-gov,99185,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,249935,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,44,United-States,<=50K +51,Private,206775,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +22,Private,230704,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,Jamaica,<=50K +34,Private,242361,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,50,United-States,<=50K +22,Private,134746,10th,6,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,198613,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2002,40,United-States,<=50K +56,Private,174040,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,165953,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1902,40,United-States,<=50K +36,Private,273604,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,Private,192409,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +26,Self-emp-not-inc,102476,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +48,Private,234504,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Self-emp-not-inc,468713,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,84560,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,148995,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,34816,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,12,United-States,<=50K +28,Private,211184,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +53,Private,33304,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +65,Federal-gov,179985,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,219815,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,134766,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +26,Private,106548,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +70,Private,89787,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +55,Private,164857,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,257124,Bachelors,13,Never-married,Transport-moving,Other-relative,White,Male,0,0,35,United-States,<=50K +31,Private,227446,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Cuba,>50K +43,Private,125461,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,55,United-States,>50K +24,Private,189749,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,176321,7th-8th,4,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +26,Private,284250,HS-grad,9,Never-married,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,101885,10th,6,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,134130,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +52,Private,260938,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,238184,HS-grad,9,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,148626,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,48102,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,50,United-States,>50K +58,Private,234213,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,14344,0,48,United-States,>50K +65,Private,113323,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Local-gov,34246,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +51,Private,175070,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,45,United-States,>50K +31,Private,279680,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +84,Private,188328,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +51,Private,96609,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Local-gov,84257,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,275632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +22,Private,385540,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Mexico,<=50K +30,Private,196342,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Ireland,<=50K +47,Private,97176,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,197714,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +43,Self-emp-not-inc,147099,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,36,United-States,<=50K +30,Private,186346,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +46,Private,73434,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +49,Local-gov,275074,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +37,Private,209214,5th-6th,3,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +42,Private,210525,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,372020,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5013,0,50,United-States,<=50K +46,Private,176684,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,210474,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,293690,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,>50K +64,Private,149775,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,8,United-States,<=50K +20,Private,323009,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K +31,Private,126950,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,172538,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,United-States,>50K +44,Private,115411,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Self-emp-not-inc,101709,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,2885,0,40,United-States,<=50K +23,Private,265356,Bachelors,13,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Local-gov,192565,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,90,United-States,>50K +35,Self-emp-not-inc,348771,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +30,Self-emp-not-inc,148959,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,35,United-States,<=50K +35,Private,126569,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,20,United-States,<=50K +40,Private,105936,HS-grad,9,Married-spouse-absent,Adm-clerical,Own-child,White,Female,0,0,38,United-States,<=50K +18,Private,188076,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +23,Private,184400,10th,6,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,30,?,<=50K +63,Private,124242,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +20,State-gov,200819,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +50,Local-gov,100480,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +49,Private,129513,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +53,Self-emp-not-inc,297796,10th,6,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,195488,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +54,Private,153486,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,56,United-States,>50K +40,Private,126845,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +22,Private,206974,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,412149,10th,6,Never-married,Farming-fishing,Other-relative,White,Male,0,0,35,Mexico,<=50K +24,Private,653574,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,El-Salvador,<=50K +37,Private,70562,1st-4th,2,Never-married,Other-service,Unmarried,White,Female,0,0,48,El-Salvador,<=50K +62,Private,197514,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,16,United-States,<=50K +19,?,309284,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,334679,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +65,Private,105116,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,2346,0,40,United-States,<=50K +31,Private,151484,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +42,Self-emp-inc,78765,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Male,0,0,90,United-States,>50K +42,Private,98427,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K +54,Private,230767,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Cuba,<=50K +23,Private,117606,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,60,United-States,<=50K +28,Private,68642,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,46,United-States,<=50K +42,Private,341638,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,65920,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +33,Federal-gov,188246,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,198727,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,160728,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,2977,0,40,United-States,<=50K +27,Private,706026,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +20,?,348148,11th,7,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +62,Private,77884,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +17,Private,160758,10th,6,Never-married,Sales,Other-relative,White,Male,0,0,30,United-States,<=50K +58,Private,201112,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,55,United-States,>50K +69,Self-emp-inc,107850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,6514,0,40,United-States,>50K +34,Private,230246,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +34,Private,203034,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,2824,50,United-States,>50K +20,Private,373935,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +64,Federal-gov,341695,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +27,Private,119793,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,?,<=50K +41,Private,178002,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +40,Private,233130,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +53,Local-gov,192982,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,38,United-States,>50K +44,Private,33155,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Private,187346,5th-6th,3,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,Mexico,<=50K +46,Private,78529,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,60,United-States,>50K +17,Private,101626,9th,5,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,117567,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Local-gov,110791,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,State-gov,207120,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +48,Private,43206,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +26,Private,120238,Bachelors,13,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Private,189219,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +35,State-gov,190895,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,83517,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,35557,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7298,0,50,United-States,>50K +36,Local-gov,59313,Some-college,10,Separated,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Private,202033,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +18,Local-gov,55658,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +21,Private,118186,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,20,United-States,<=50K +22,Private,279901,HS-grad,9,Married-civ-spouse,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +52,Private,110954,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,El-Salvador,>50K +36,Self-emp-not-inc,90159,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +25,Private,122489,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,1726,60,United-States,<=50K +49,Self-emp-not-inc,43348,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,99999,0,70,United-States,>50K +42,Private,34278,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +37,Private,37778,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,54,United-States,<=50K +39,Private,160623,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,342458,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,64322,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,373914,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,205884,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,>50K +62,Local-gov,208266,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +23,Private,348420,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,136081,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,2051,40,United-States,<=50K +37,Federal-gov,197284,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +27,?,204773,Assoc-acdm,12,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +41,Private,206066,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,61885,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +25,Private,299908,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,United-States,>50K +35,Private,46028,Assoc-acdm,12,Divorced,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +47,Private,239865,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1977,45,United-States,>50K +30,Private,154587,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Puerto-Rico,<=50K +29,Private,244473,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,2051,40,United-States,<=50K +36,Private,32334,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +42,Private,319588,Bachelors,13,Married-spouse-absent,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +51,Private,226735,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +34,Private,226443,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,359259,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,Portugal,<=50K +27,Private,36851,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,41,United-States,<=50K +39,Private,393480,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,33109,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,1741,40,United-States,<=50K +32,Self-emp-not-inc,188246,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,1590,62,United-States,<=50K +31,Private,231569,Bachelors,13,Never-married,Sales,Not-in-family,Black,Female,0,0,50,United-States,<=50K +23,Private,353010,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +47,Private,102628,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +66,Private,262285,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,99,United-States,<=50K +26,Private,160300,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,156953,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,136823,11th,7,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,30,United-States,<=50K +48,Self-emp-not-inc,160724,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,Japan,<=50K +37,Self-emp-inc,86459,Assoc-acdm,12,Separated,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,<=50K +17,Private,238628,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,5,United-States,<=50K +50,Private,339954,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,?,222005,HS-grad,9,Never-married,?,Other-relative,White,Female,0,0,40,Mexico,<=50K +17,Federal-gov,99893,11th,7,Never-married,Adm-clerical,Not-in-family,Black,Female,0,1602,40,United-States,<=50K +39,Private,214117,Some-college,10,Divorced,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +28,Federal-gov,298661,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +38,Private,179488,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +53,Private,48343,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,40,United-States,>50K +28,Local-gov,100270,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,227065,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,32,United-States,>50K +40,Private,126701,9th,5,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,209131,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,400132,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +23,State-gov,278155,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,139012,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,2174,0,40,Vietnam,<=50K +41,Private,178431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,<=50K +42,Private,511068,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +18,Private,199039,12th,8,Never-married,Sales,Own-child,White,Male,594,0,14,United-States,<=50K +29,Local-gov,190525,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,60,Germany,>50K +36,Private,115700,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,167832,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,218164,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,44,United-States,<=50K +48,State-gov,171926,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +36,Self-emp-inc,242080,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +67,Federal-gov,223257,HS-grad,9,Widowed,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,386773,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,40,United-States,>50K +53,Self-emp-not-inc,105478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,40,United-States,>50K +45,Private,140644,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,>50K +22,Private,205970,10th,6,Separated,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +25,Private,216583,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,43,United-States,<=50K +61,Private,162432,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Local-gov,83671,Some-college,10,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Self-emp-inc,205100,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,Germany,<=50K +31,Private,195750,1st-4th,2,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,220562,9th,5,Never-married,Sales,Other-relative,Other,Female,0,0,32,Mexico,<=50K +38,Self-emp-inc,312232,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,386337,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,?,<=50K +42,Private,86185,Some-college,10,Widowed,Exec-managerial,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +78,Private,105586,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,36,United-States,<=50K +54,Private,103345,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +26,Local-gov,150553,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +30,Private,26009,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +46,Private,149388,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,151626,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,45,United-States,<=50K +30,Private,169583,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +66,Local-gov,174486,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,20051,0,35,Jamaica,>50K +23,Private,160951,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,2597,0,40,United-States,<=50K +25,Private,213383,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,103078,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,Local-gov,109526,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +51,Private,142835,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,State-gov,43475,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,190916,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +28,Private,175987,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Local-gov,214385,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,20,United-States,<=50K +26,Private,192652,Bachelors,13,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +41,Federal-gov,207685,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +19,Private,143857,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,163392,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,26,?,<=50K +51,Private,310774,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +29,?,427965,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +27,Private,279608,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +33,Private,312881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +19,Private,175083,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +67,?,132057,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,20,United-States,<=50K +41,Private,32878,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +29,Federal-gov,360527,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +28,Private,99478,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +25,Private,113035,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +21,Federal-gov,99199,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,36,United-States,<=50K +24,Local-gov,452640,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,14344,0,50,United-States,>50K +48,Private,236858,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,31,United-States,<=50K +46,Self-emp-inc,201865,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +35,Private,268661,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +35,Federal-gov,475324,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Private,117295,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,65704,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,?,<=50K +45,Private,192835,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,76720,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +39,Local-gov,180686,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +33,Local-gov,133876,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,123727,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K +50,Private,129956,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +25,Private,96268,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,317320,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,86872,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,100863,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,>50K +56,Private,164332,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K +49,Self-emp-not-inc,122584,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,34377,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +46,Private,162030,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +33,Private,199170,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,Private,470203,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,266803,Assoc-acdm,12,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +72,?,188009,7th-8th,4,Divorced,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +32,State-gov,513416,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,10,United-States,<=50K +44,Private,98211,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +48,Private,196107,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +17,Private,108273,10th,6,Never-married,Sales,Own-child,White,Female,0,0,12,United-States,<=50K +50,Private,213290,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1887,36,United-States,>50K +61,Private,96660,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,15024,0,34,United-States,>50K +22,Local-gov,412316,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +17,Private,120068,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K +49,Self-emp-inc,101722,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +26,Private,120268,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +19,State-gov,144429,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,10,United-States,<=50K +17,Private,271122,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +38,Private,255621,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,90934,Assoc-voc,11,Divorced,Protective-serv,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +51,Private,162745,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +48,Private,128460,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +63,Private,30813,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,164585,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +73,Private,148003,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,20051,0,36,United-States,>50K +51,Private,215647,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K +38,Private,300975,Masters,14,Married-civ-spouse,Other-service,Husband,Black,Male,0,1485,40,?,<=50K +54,Private,421561,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +41,Private,149909,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1848,40,United-States,>50K +65,?,240857,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2377,40,United-States,>50K +36,Self-emp-not-inc,138940,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,4386,0,50,United-States,>50K +42,Private,66755,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,United-States,<=50K +38,Private,103323,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +20,?,117222,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +37,State-gov,29145,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,State-gov,184659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1485,40,United-States,>50K +51,Self-emp-not-inc,20795,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,311376,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,State-gov,122660,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +19,?,137578,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +37,Private,193689,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,42,United-States,>50K +29,Private,144556,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,228696,1st-4th,2,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,2603,32,Mexico,<=50K +60,Private,184183,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4650,0,40,United-States,<=50K +22,Private,243178,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +22,?,236330,Some-college,10,Never-married,?,Own-child,Black,Male,0,1721,20,United-States,<=50K +60,State-gov,190682,Assoc-voc,11,Widowed,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K +35,Private,233786,11th,7,Separated,Other-service,Unmarried,White,Male,0,0,20,United-States,<=50K +45,Private,102202,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,95299,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Vietnam,>50K +43,Self-emp-inc,240504,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +32,State-gov,169973,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +35,Private,144937,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +32,Private,211751,Assoc-voc,11,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +61,Private,84587,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +40,State-gov,150874,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,1506,0,40,United-States,<=50K +20,?,187332,10th,6,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +42,Self-emp-inc,188615,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +21,Private,119704,Some-college,10,Never-married,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +21,Private,275190,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +26,Private,417941,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,State-gov,196348,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +24,Private,221955,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +47,Private,173938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K +51,Private,123429,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Male,0,0,30,United-States,<=50K +65,?,143732,HS-grad,9,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +61,Private,203126,Bachelors,13,Divorced,Priv-house-serv,Not-in-family,White,Female,0,0,12,?,<=50K +67,Private,174693,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,25,Nicaragua,<=50K +49,Private,357540,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +63,?,29859,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,1485,40,United-States,>50K +58,Private,314092,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,48,United-States,>50K +61,Private,280088,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,257380,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,35,United-States,<=50K +19,Private,165306,Some-college,10,Never-married,Tech-support,Other-relative,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +29,Self-emp-not-inc,109001,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +43,Private,266439,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +60,Self-emp-not-inc,153356,HS-grad,9,Divorced,Sales,Not-in-family,Black,Male,2597,0,55,United-States,<=50K +21,Private,32950,Some-college,10,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,182163,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,188246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +36,Private,297335,Bachelors,13,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,China,<=50K +37,Private,108366,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,46,United-States,<=50K +35,Private,328301,Assoc-acdm,12,Married-AF-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +17,Private,182158,10th,6,Never-married,Priv-house-serv,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,169426,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +22,?,330571,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K +28,Private,535978,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,29393,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Self-emp-inc,258883,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,60,Hungary,>50K +26,Private,369166,Some-college,10,Never-married,Farming-fishing,Other-relative,White,Female,0,0,65,United-States,<=50K +45,Local-gov,257855,11th,7,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K +32,Private,164197,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +63,Private,109517,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +22,Private,112137,Some-college,10,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,20,South,<=50K +36,Private,160035,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +45,State-gov,50567,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,140011,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +27,State-gov,271328,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,?,183083,Some-college,10,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +47,Self-emp-not-inc,159869,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,>50K +46,Private,102542,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,52,United-States,<=50K +28,Private,297742,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,176917,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +26,Private,165235,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,40,Thailand,<=50K +32,Self-emp-not-inc,52647,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Local-gov,48542,12th,8,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +59,Private,279232,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +58,State-gov,259929,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,>50K +45,Private,221780,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +76,Self-emp-not-inc,253408,Some-college,10,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,298841,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,321313,Masters,14,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,64875,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,50,United-States,<=50K +30,Private,275232,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,36,United-States,<=50K +53,Self-emp-inc,134854,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Greece,>50K +41,Private,67339,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +27,State-gov,192355,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +44,Local-gov,208528,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +35,Private,160120,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +36,Private,250238,1st-4th,2,Never-married,Other-service,Other-relative,Other,Female,0,0,40,El-Salvador,<=50K +51,Private,25031,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,10,United-States,>50K +42,Local-gov,255847,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,26892,Bachelors,13,Married-AF-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +45,Private,111979,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,408537,9th,5,Divorced,Craft-repair,Unmarried,White,Female,99999,0,37,United-States,>50K +36,Private,231037,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +57,Federal-gov,30030,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +27,Private,292120,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +62,Private,138253,Masters,14,Never-married,Handlers-cleaners,Not-in-family,White,Male,4650,0,40,United-States,<=50K +29,Private,190777,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,Self-emp-not-inc,41591,Bachelors,13,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +29,Private,186733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +18,?,78567,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +19,?,140590,12th,8,Never-married,?,Own-child,Black,Male,0,0,30,United-States,<=50K +32,Local-gov,230912,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,4865,0,40,United-States,<=50K +34,Private,176185,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,1741,40,United-States,<=50K +25,Private,182227,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,<=50K +34,Local-gov,205704,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +37,State-gov,24342,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,<=50K +37,Private,138192,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +18,Private,334676,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +24,Private,177526,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +17,Private,152696,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +35,Private,114765,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,265509,Assoc-voc,11,Separated,Tech-support,Unmarried,Black,Female,0,0,32,United-States,<=50K +29,Private,180758,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +49,Self-emp-not-inc,127921,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +71,?,177906,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K +35,Federal-gov,182898,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,422249,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,222450,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +33,Local-gov,190027,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,18,United-States,<=50K +49,Private,281647,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +32,Private,117963,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +63,?,319121,11th,7,Separated,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,225504,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Local-gov,104334,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,El-Salvador,<=50K +30,State-gov,48214,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +30,Private,145714,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Self-emp-inc,38240,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +57,Self-emp-not-inc,27385,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,10,United-States,<=50K +56,Private,204254,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,45,United-States,<=50K +28,Private,411587,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,Honduras,<=50K +43,Private,221172,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,24,United-States,>50K +46,Private,54190,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +60,Private,93997,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +50,Local-gov,24139,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,65,United-States,<=50K +37,Private,112497,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +41,Private,138907,HS-grad,9,Divorced,Priv-house-serv,Other-relative,Black,Female,0,0,40,United-States,<=50K +38,Private,186325,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,38,United-States,>50K +23,Private,199452,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +59,Private,126677,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +72,Private,107814,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,2329,0,60,United-States,<=50K +47,Local-gov,93618,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,33,United-States,<=50K +29,Private,353352,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +35,Private,143058,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +24,Private,239663,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,15,United-States,<=50K +22,Private,167615,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,442274,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,149210,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K +55,Federal-gov,174533,Bachelors,13,Separated,Other-service,Unmarried,White,Female,0,0,72,?,<=50K +40,State-gov,50093,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +61,Private,270056,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K +58,Self-emp-not-inc,131991,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,72,United-States,<=50K +39,State-gov,126336,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,341117,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +25,Private,108505,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +69,?,106566,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +36,Private,74791,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Male,0,0,60,?,<=50K +34,Private,24266,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +45,Private,267967,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,?,181284,12th,8,Married-civ-spouse,?,Husband,Black,Male,0,0,45,United-States,<=50K +28,Private,102533,Some-college,10,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,69757,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +41,State-gov,210094,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +18,State-gov,389147,HS-grad,9,Never-married,Sales,Not-in-family,Black,Female,0,0,30,United-States,<=50K +44,Private,210648,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +47,Private,94809,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +36,Local-gov,298717,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +66,Private,236879,Preschool,1,Widowed,Priv-house-serv,Other-relative,White,Female,0,0,40,Guatemala,<=50K +33,Private,170148,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Local-gov,166497,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,>50K +30,Private,247156,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +34,Self-emp-not-inc,204052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +62,Self-emp-not-inc,122246,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,<=50K +21,Private,180339,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Self-emp-inc,155574,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,50,United-States,>50K +30,Private,114912,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,60,United-States,>50K +43,Private,193882,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,112269,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +26,Federal-gov,171928,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Japan,<=50K +50,Private,95435,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1579,65,Canada,<=50K +45,Federal-gov,179638,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +46,Self-emp-inc,125892,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +17,Private,721712,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,15,United-States,<=50K +56,Private,197369,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,353795,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,3103,0,40,United-States,>50K +47,Private,334679,Masters,14,Separated,Machine-op-inspct,Unmarried,Asian-Pac-Islander,Female,0,0,42,India,<=50K +23,Private,235853,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +51,Self-emp-not-inc,353281,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +19,Private,203061,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,25,United-States,<=50K +33,Self-emp-not-inc,62932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,118551,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,80,United-States,<=50K +52,Private,99184,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,189674,Some-college,10,Separated,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +34,Private,226883,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,?,109564,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +26,Self-emp-inc,66872,12th,8,Married-civ-spouse,Sales,Husband,Other,Male,0,0,98,Dominican-Republic,<=50K +35,Local-gov,268292,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,Federal-gov,139290,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +32,Private,206541,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +23,Private,203139,Some-college,10,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,294398,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,Private,386864,10th,6,Never-married,Other-service,Other-relative,White,Male,0,0,35,Mexico,<=50K +17,Private,369909,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +56,Private,89922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,45,United-States,>50K +26,Private,176008,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,State-gov,241506,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,36,United-States,<=50K +45,Self-emp-not-inc,174426,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +34,Private,167497,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,50,United-States,>50K +54,Private,292673,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,Mexico,<=50K +51,Local-gov,134808,HS-grad,9,Widowed,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,95763,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +49,Private,83622,Assoc-acdm,12,Separated,Adm-clerical,Not-in-family,White,Female,2597,0,40,United-States,<=50K +21,Private,222490,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +44,Private,29115,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,66638,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +39,Private,53926,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +19,?,43739,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,104359,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,124604,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,32,United-States,<=50K +45,Private,114797,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +60,Federal-gov,67320,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Federal-gov,53147,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Male,0,0,40,United-States,<=50K +23,Private,13769,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Amer-Indian-Eskimo,Male,0,0,30,United-States,<=50K +44,Private,202872,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +19,State-gov,149528,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,12,United-States,<=50K +37,Private,132879,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,112362,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,38,United-States,<=50K +56,Federal-gov,156229,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +44,Private,131650,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,54,United-States,>50K +30,Private,154568,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,36,Vietnam,>50K +23,Private,132300,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,124747,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,3103,0,40,United-States,>50K +38,Private,276559,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K +32,Private,106014,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,5178,0,50,United-States,>50K +57,Self-emp-not-inc,135134,Masters,14,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +35,Private,86648,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +48,Self-emp-not-inc,107231,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +32,Local-gov,113838,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,99,United-States,<=50K +76,Federal-gov,25319,Masters,14,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +57,Local-gov,190561,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Female,0,0,30,United-States,<=50K +58,?,150031,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,48343,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +50,Private,211116,10th,6,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,226311,HS-grad,9,Married-AF-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +53,Private,283743,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,40,United-States,<=50K +59,Self-emp-not-inc,64102,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +23,Private,234663,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,247880,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,40,United-States,>50K +23,Private,615367,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,163090,Assoc-acdm,12,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +44,Private,192225,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,370183,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,242482,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,169953,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Local-gov,144182,Preschool,1,Never-married,Adm-clerical,Own-child,Black,Female,0,0,25,United-States,<=50K +38,Private,125933,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,27828,0,45,United-States,>50K +26,Private,203777,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,37,United-States,<=50K +39,Private,210991,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,472580,Some-college,10,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +33,State-gov,200289,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,19,India,<=50K +43,Private,289669,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,2547,40,United-States,>50K +30,Private,110622,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,China,<=50K +59,State-gov,139616,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +26,Private,39212,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +28,Private,51961,Some-college,10,Never-married,Tech-support,Own-child,Black,Male,0,0,24,United-States,<=50K +48,Self-emp-not-inc,117849,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,50748,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,1506,0,35,United-States,<=50K +41,Self-emp-not-inc,170214,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,2179,40,United-States,<=50K +20,Private,151790,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,30,United-States,<=50K +49,Private,168211,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +37,State-gov,117651,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,United-States,<=50K +18,Private,157131,12th,8,Never-married,Sales,Own-child,White,Female,0,0,8,United-States,<=50K +61,Private,225970,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +26,Private,177951,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,<=50K +66,Private,134130,Bachelors,13,Widowed,Other-service,Not-in-family,White,Male,0,0,12,United-States,<=50K +68,Private,191581,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,3273,0,40,United-States,<=50K +27,Local-gov,199172,HS-grad,9,Married-civ-spouse,Protective-serv,Wife,White,Female,0,0,40,United-States,<=50K +66,Self-emp-not-inc,262552,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,7,United-States,<=50K +28,Private,66434,10th,6,Never-married,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +26,Private,77661,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,?,230856,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,192835,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +62,?,181014,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,200445,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,1974,40,United-States,<=50K +26,Self-emp-not-inc,37918,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,60,United-States,<=50K +40,Private,111020,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,244665,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,Honduras,<=50K +52,Private,312477,HS-grad,9,Widowed,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,243493,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,12,United-States,<=50K +39,State-gov,152023,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,104193,HS-grad,9,Never-married,Other-service,Own-child,White,Female,114,0,40,United-States,<=50K +47,Private,170850,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,<=50K +33,Private,137088,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,Ecuador,<=50K +17,Private,340557,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +26,Private,298225,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,114150,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,194668,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +33,Private,188246,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +46,Federal-gov,330901,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,80165,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +48,Private,83444,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,40,United-States,>50K +29,Self-emp-not-inc,85572,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,5,United-States,<=50K +40,Private,116632,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,139989,Bachelors,13,Never-married,Sales,Own-child,Black,Male,0,0,40,United-States,<=50K +55,Private,135803,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1579,35,India,<=50K +56,Private,75785,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,248612,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +36,Private,28572,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Self-emp-not-inc,31143,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,216924,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,44,United-States,>50K +36,Private,549174,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +23,Self-emp-not-inc,111296,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,50,Mexico,<=50K +25,Private,208881,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +36,State-gov,243666,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,327164,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,?,<=50K +39,Self-emp-inc,131288,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,5178,0,48,United-States,>50K +35,Private,257416,Assoc-voc,11,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +33,Private,215288,11th,7,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +31,Private,58582,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,<=50K +49,Private,199378,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,22,United-States,<=50K +34,Self-emp-not-inc,114185,Bachelors,13,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,?,<=50K +40,Private,137421,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Asian-Pac-Islander,Male,0,0,60,Trinadad&Tobago,<=50K +27,Private,216481,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,196504,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,23,United-States,<=50K +38,Private,357870,12th,8,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,50,United-States,<=50K +55,State-gov,256335,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,168191,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,70,Italy,<=50K +40,Private,215596,Bachelors,13,Married-spouse-absent,Other-service,Not-in-family,Other,Male,0,0,40,Mexico,<=50K +42,Private,184682,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,0,0,30,United-States,<=50K +51,Private,171914,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,288229,Bachelors,13,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,50,Laos,<=50K +30,State-gov,144064,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +70,?,54849,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,>50K +40,Private,141583,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,180985,Bachelors,13,Separated,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +24,Private,148709,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,?,174626,7th-8th,4,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,184801,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +52,Private,89054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,147284,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +33,Private,169973,Assoc-voc,11,Separated,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,222993,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,41099,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +31,Private,33117,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,162551,Masters,14,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,40,Hong,>50K +49,Private,122066,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,2603,40,Greece,<=50K +61,?,42938,Bachelors,13,Never-married,?,Not-in-family,White,Male,0,0,7,United-States,>50K +46,Private,389843,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Germany,>50K +37,Private,138940,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +56,Federal-gov,141877,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +37,Private,172722,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +26,Self-emp-not-inc,118523,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,227886,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +36,Private,80743,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,South,<=50K +52,Private,199688,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +40,Private,225823,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +21,Private,176486,HS-grad,9,Married-spouse-absent,Exec-managerial,Other-relative,White,Female,0,0,60,United-States,<=50K +63,Private,175777,10th,6,Separated,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,295010,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,437825,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,Peru,<=50K +50,Private,270194,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +41,Private,242089,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +39,Self-emp-inc,117555,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +23,Private,146499,HS-grad,9,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,48,United-States,<=50K +52,Private,222405,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,2377,40,United-States,<=50K +17,?,216595,11th,7,Never-married,?,Own-child,Black,Female,0,0,20,United-States,<=50K +46,Private,157991,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,625,40,United-States,<=50K +26,Private,373553,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,42,United-States,<=50K +30,Private,194827,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +23,Private,60331,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,State-gov,96483,Some-college,10,Never-married,Adm-clerical,Own-child,Asian-Pac-Islander,Female,0,0,12,United-States,<=50K +39,Private,211154,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +37,Local-gov,247750,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,204235,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,50,United-States,>50K +38,Private,197113,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,20,United-States,<=50K +47,Private,178341,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,4064,0,60,United-States,<=50K +20,Private,293297,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +35,Private,35330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,State-gov,202056,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,14084,0,40,United-States,>50K +32,Private,61898,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,15,United-States,<=50K +42,Self-emp-inc,1097453,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +32,Private,176992,10th,6,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +27,Private,295289,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +53,Self-emp-inc,298215,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +28,Self-emp-not-inc,209934,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,Mexico,<=50K +26,Private,164938,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,423222,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +23,Private,124259,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,40,United-States,<=50K +70,Self-emp-inc,232871,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,<=50K +41,State-gov,73199,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +43,State-gov,27661,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +65,Private,461715,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,25,?,<=50K +40,Self-emp-not-inc,89413,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +64,Self-emp-not-inc,31826,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +40,Private,279679,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +43,Private,221172,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +50,Federal-gov,222020,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,<=50K +19,?,181265,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +32,Self-emp-not-inc,261056,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,2174,0,60,?,<=50K +32,Private,204792,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,384508,11th,7,Divorced,Sales,Unmarried,White,Male,1506,0,50,Mexico,<=50K +41,Private,288568,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +30,Private,182714,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K +20,Private,471452,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +45,State-gov,264052,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,146659,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,50,United-States,>50K +24,Private,203027,Assoc-acdm,12,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,218309,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,133625,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +35,Private,45937,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,?,389850,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Male,0,0,50,United-States,<=50K +38,Federal-gov,201617,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Local-gov,114733,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,35,United-States,<=50K +50,State-gov,97778,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,149507,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +35,Private,82622,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,48014,Masters,14,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,France,<=50K +61,State-gov,162678,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,213842,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,38,United-States,<=50K +61,Private,221447,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +18,Private,426836,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +31,Local-gov,206609,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +31,Private,50276,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,Private,180497,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +35,Private,220585,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,202752,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,Private,75993,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +18,Private,170544,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +55,Private,115439,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +59,Private,24384,HS-grad,9,Widowed,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,209067,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,65225,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +60,Federal-gov,27466,Some-college,10,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,England,<=50K +49,Federal-gov,179869,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +21,Private,442131,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +61,Private,243283,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,316627,5th-6th,3,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,208862,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Federal-gov,38645,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,141272,Bachelors,13,Never-married,Other-service,Own-child,Black,Female,0,0,30,United-States,<=50K +41,State-gov,29324,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +18,?,348588,12th,8,Never-married,?,Own-child,Black,Male,0,0,25,United-States,<=50K +40,Private,124747,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,7298,0,40,United-States,>50K +55,Self-emp-not-inc,477867,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,218361,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,12,United-States,<=50K +34,Self-emp-not-inc,156809,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,1504,60,United-States,<=50K +24,Private,267945,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,35724,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +29,Private,187188,Masters,14,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Male,0,0,60,United-States,<=50K +52,Private,155983,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +57,Federal-gov,414994,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,103474,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,45,United-States,<=50K +43,Private,211128,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +61,Private,203445,Some-college,10,Widowed,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,38312,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,65,United-States,>50K +51,Private,178241,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,>50K +40,Private,260761,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Mexico,<=50K +41,Local-gov,36924,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +19,Private,292590,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,461929,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +59,Private,189664,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,State-gov,190577,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,344200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +30,Private,337494,Assoc-acdm,12,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,48,United-States,<=50K +54,Self-emp-not-inc,52634,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,194901,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,2444,42,United-States,>50K +20,Private,170091,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +27,?,189399,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,205072,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +35,Private,310290,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,Black,Female,0,0,40,United-States,<=50K +27,Private,134048,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +40,Private,91959,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,>50K +34,Private,153942,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +34,Local-gov,234096,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Private,185330,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,25,United-States,<=50K +28,Private,163772,HS-grad,9,Married-civ-spouse,Other-service,Husband,Other,Male,0,0,40,United-States,<=50K +65,Private,83800,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,27,United-States,<=50K +61,Private,139391,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,16,United-States,<=50K +18,Private,478380,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +35,Self-emp-inc,186845,Bachelors,13,Married-civ-spouse,Sales,Own-child,White,Male,5178,0,50,United-States,>50K +45,Private,262802,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +68,?,152157,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +25,Private,114483,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,118023,Prof-school,15,Divorced,Sales,Not-in-family,White,Male,0,0,13,United-States,<=50K +19,Private,220101,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,219424,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,50,United-States,>50K +54,Private,186117,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +47,Self-emp-not-inc,479611,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,80312,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,4865,0,40,United-States,<=50K +30,Private,108386,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +67,?,125926,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +35,Private,177102,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,190762,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K +61,Private,180632,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,88019,HS-grad,9,Divorced,Other-service,Unmarried,White,Male,0,0,32,United-States,<=50K +50,Private,135339,12th,8,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +32,Private,100662,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Columbia,<=50K +34,Private,183557,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,25,United-States,<=50K +36,Private,160035,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,306790,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,269246,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,308334,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,19,United-States,<=50K +58,Private,215190,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +27,Private,419146,5th-6th,3,Never-married,Other-service,Not-in-family,White,Male,0,0,75,Mexico,<=50K +62,Private,176839,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,38,United-States,<=50K +36,Self-emp-inc,184456,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,27828,0,55,United-States,>50K +21,Local-gov,309348,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,594,0,4,United-States,<=50K +41,Private,56795,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,England,<=50K +28,Private,201861,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,179509,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,291755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +19,Private,243941,Some-college,10,Never-married,Sales,Own-child,Amer-Indian-Eskimo,Female,0,1721,25,United-States,<=50K +76,Self-emp-not-inc,117169,7th-8th,4,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +25,?,100903,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +34,Private,159322,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,262872,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,187052,11th,7,Never-married,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +17,Private,277583,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +55,Private,169071,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +51,Local-gov,96190,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +26,Private,61603,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,Mexico,<=50K +44,Private,43711,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,48,United-States,<=50K +65,?,197883,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,70,United-States,<=50K +54,Private,99434,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,177639,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,201723,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +26,Private,222248,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +39,Private,86143,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +46,?,228620,11th,7,Widowed,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,346034,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,El-Salvador,<=50K +59,Private,87510,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,37932,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +34,Private,185063,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +62,?,125493,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,5178,0,40,Scotland,>50K +51,Private,159755,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +34,Private,108837,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +47,Private,110669,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +21,?,220115,Some-college,10,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +30,Self-emp-not-inc,45427,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K +38,Private,154669,HS-grad,9,Separated,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,261278,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,5178,0,40,Philippines,>50K +23,Private,71864,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +34,Private,173495,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +22,Private,254293,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,111883,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +50,Private,146429,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,472807,1st-4th,2,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,52,Mexico,<=50K +28,Private,285294,Bachelors,13,Married-civ-spouse,Sales,Wife,Black,Female,15024,0,45,United-States,>50K +23,Private,184665,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +35,Private,205852,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,83879,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +27,Private,178564,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +46,Self-emp-inc,168796,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +27,Private,269444,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,47353,10th,6,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,29254,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,155343,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,234271,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,257849,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,228230,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,47,United-States,<=50K +36,Private,227615,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,32,Mexico,<=50K +29,Private,406826,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Self-emp-not-inc,27539,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,40,United-States,>50K +19,Private,97261,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,232022,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +52,Federal-gov,168539,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +20,Private,515797,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,351381,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,161018,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +60,Private,26721,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,164123,11th,7,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +59,Self-emp-not-inc,98418,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,29814,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,50,United-States,<=50K +25,Private,254613,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,Cuba,<=50K +49,Private,207677,7th-8th,4,Divorced,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +25,Self-emp-not-inc,217030,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +50,Private,171199,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,198270,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,43,United-States,<=50K +28,?,131310,HS-grad,9,Separated,?,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,79923,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +40,Self-emp-inc,475322,Bachelors,13,Separated,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +56,Private,134286,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +56,Self-emp-not-inc,73746,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,125525,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,42,United-States,<=50K +38,?,155676,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,304949,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,10,United-States,<=50K +67,Private,150516,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,24,United-States,<=50K +54,State-gov,249096,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,164127,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +59,Private,304779,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,157043,11th,7,Widowed,Handlers-cleaners,Unmarried,Black,Female,0,0,40,United-States,<=50K +30,Private,396538,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,29,United-States,<=50K +42,Private,510072,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +64,?,200017,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +61,?,60641,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Private,89326,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,200471,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,4064,0,40,United-States,<=50K +78,Self-emp-not-inc,82815,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,3,United-States,>50K +24,Self-emp-not-inc,117210,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +27,Private,202206,11th,7,Separated,Farming-fishing,Other-relative,White,Male,0,0,40,Puerto-Rico,<=50K +51,Private,123429,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,353512,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +55,Self-emp-not-inc,26683,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,204641,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,225053,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +36,?,98776,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,263932,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,108247,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Self-emp-not-inc,369648,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +26,Private,339324,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,96,United-States,<=50K +59,?,145574,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,>50K +53,Private,317313,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +24,Local-gov,162919,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,186314,Some-college,10,Separated,Prof-specialty,Own-child,White,Male,0,0,54,United-States,<=50K +36,Private,254202,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +39,Private,108140,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +53,Private,287317,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,Black,Male,0,0,32,United-States,<=50K +75,Self-emp-inc,81534,HS-grad,9,Widowed,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,35,United-States,>50K +36,Private,35945,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Self-emp-inc,204928,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,208809,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +29,Private,133625,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +60,Private,71683,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,49,United-States,<=50K +58,Private,570562,HS-grad,9,Widowed,Sales,Not-in-family,White,Male,0,0,38,United-States,<=50K +67,Self-emp-not-inc,36876,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +35,Private,253006,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,38,United-States,>50K +39,Self-emp-not-inc,50096,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +37,Private,336880,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +54,?,135840,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +63,Self-emp-not-inc,168048,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,187969,11th,7,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +23,Private,117363,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +55,Private,256526,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,4865,0,45,United-States,<=50K +49,Private,304416,11th,7,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +39,Private,248011,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +23,Private,229826,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,159796,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +44,Private,165346,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +25,Private,25386,Assoc-voc,11,Never-married,Other-service,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,Private,491000,Assoc-voc,11,Divorced,Prof-specialty,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Local-gov,247731,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,Cuba,<=50K +48,Private,180532,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,189462,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,2176,0,40,United-States,<=50K +44,Private,419134,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,170166,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,25,United-States,<=50K +33,Self-emp-not-inc,173495,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +18,Private,423024,12th,8,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +24,Private,72119,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,2202,0,30,United-States,<=50K +32,Local-gov,19302,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,England,>50K +24,State-gov,257621,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +44,Self-emp-inc,118212,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K +27,Private,259840,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,115289,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,France,>50K +26,Local-gov,159662,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,379798,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,227945,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,65,United-States,>50K +41,State-gov,36999,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,75,United-States,>50K +73,?,131982,Bachelors,13,Married-civ-spouse,?,Husband,Asian-Pac-Islander,Male,0,0,5,Vietnam,<=50K +32,Self-emp-inc,124052,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +56,Local-gov,273084,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +59,Private,170104,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +44,Private,96249,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +35,Private,140915,Bachelors,13,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,1590,40,South,<=50K +52,Private,230657,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,3781,0,40,Columbia,<=50K +30,Private,195576,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,3325,0,50,United-States,<=50K +23,Private,117767,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,112763,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,8614,0,43,United-States,>50K +61,Private,79827,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,103925,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +68,Private,161744,10th,6,Married-civ-spouse,Sales,Husband,White,Male,0,0,16,United-States,<=50K +41,Private,106679,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,27828,0,50,United-States,>50K +42,Self-emp-not-inc,196514,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,?,61985,9th,5,Separated,?,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +19,Private,157605,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,137367,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K +40,Self-emp-inc,110862,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,50,United-States,<=50K +32,Private,74883,Bachelors,13,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +51,Self-emp-inc,98642,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,14084,0,40,United-States,>50K +44,Local-gov,144778,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,Private,177787,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,30,England,<=50K +30,?,103651,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +44,Private,162108,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Private,217602,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,473133,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,113301,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,?,<=50K +61,Private,80896,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,India,>50K +30,Local-gov,168387,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,38950,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,107801,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +49,Private,191277,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,205359,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +39,?,240226,HS-grad,9,Married-civ-spouse,?,Husband,Black,Male,0,0,40,United-States,<=50K +34,Private,203357,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +52,Local-gov,153064,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,202959,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,105150,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +19,Private,238474,11th,7,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,1085515,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +25,Private,82560,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,43,United-States,<=50K +71,Private,55965,7th-8th,4,Widowed,Transport-moving,Not-in-family,White,Male,0,0,10,United-States,<=50K +27,Private,161087,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +28,Private,261278,Assoc-voc,11,Never-married,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +54,Private,182187,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,Black,Male,15024,0,38,Jamaica,>50K +18,Private,138917,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,10,United-States,<=50K +49,Private,200198,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +36,Private,205359,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +57,Private,250201,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,50,United-States,<=50K +56,Federal-gov,67153,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Portugal,>50K +17,Private,244523,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +30,Private,236599,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,108713,10th,6,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,177147,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,129246,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +50,?,222381,Some-college,10,Divorced,?,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,145111,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Private,62258,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,State-gov,108293,Masters,14,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +61,?,167284,7th-8th,4,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +25,Private,97789,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +34,Private,111415,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +38,Private,374524,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,287244,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +17,?,341395,10th,6,Never-married,?,Own-child,Black,Male,0,0,20,United-States,<=50K +48,Private,278039,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,98360,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +52,Private,317032,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +55,State-gov,294395,Assoc-voc,11,Widowed,Prof-specialty,Unmarried,White,Female,6849,0,40,United-States,<=50K +41,Self-emp-not-inc,240900,HS-grad,9,Divorced,Farming-fishing,Other-relative,White,Male,0,0,20,United-States,<=50K +45,Private,32896,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,35,United-States,<=50K +49,Private,97411,7th-8th,4,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,Laos,<=50K +19,Private,72355,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +39,Private,342448,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +43,Private,187702,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,2174,0,45,United-States,<=50K +42,Private,303388,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,<=50K +17,Private,112291,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,12,United-States,<=50K +30,Private,208668,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,25,United-States,<=50K +61,Local-gov,28375,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,70,United-States,<=50K +48,Private,207277,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +60,?,88675,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,47857,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Private,372500,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,Mexico,<=50K +24,Private,190968,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +41,Private,37997,12th,8,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,>50K +42,Private,257328,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,127610,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +22,?,139324,9th,5,Never-married,?,Unmarried,Black,Female,0,0,36,United-States,<=50K +47,Private,164423,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,43,United-States,<=50K +50,Private,104501,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,1980,40,United-States,<=50K +30,Private,56121,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,296212,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,157640,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +44,Private,222504,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,45,United-States,>50K +34,Private,261023,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1651,38,United-States,<=50K +52,Private,146567,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,14344,0,40,United-States,>50K +34,Private,116910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +31,Private,132601,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,185537,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,500720,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,Mexico,<=50K +42,Private,182108,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Private,231491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +36,Self-emp-not-inc,239415,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +38,Private,179262,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +72,Without-pay,121004,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,United-States,<=50K +40,Private,252392,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +19,Private,163578,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +55,Private,143266,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Hungary,>50K +30,Private,285902,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,113094,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,1092,40,United-States,<=50K +29,Private,278637,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,3103,0,45,United-States,>50K +41,Private,174540,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,4,United-States,<=50K +29,Private,188729,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +24,Private,72143,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +46,Self-emp-not-inc,328216,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +44,Private,165815,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +17,Private,317702,10th,6,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +35,Private,215323,Assoc-voc,11,Divorced,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +38,Private,192939,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +36,Private,156352,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,155066,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +38,Self-emp-not-inc,152621,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +19,Private,298891,11th,7,Never-married,Sales,Not-in-family,White,Female,0,0,40,Honduras,<=50K +30,Private,193298,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +36,Local-gov,150309,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +27,Private,384308,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,305647,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +66,?,182378,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,30,United-States,<=50K +65,Federal-gov,23494,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,2174,40,United-States,>50K +37,Private,421633,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,>50K +17,Private,57723,11th,7,Never-married,Sales,Own-child,White,Male,0,0,30,United-States,<=50K +19,?,307837,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +57,Private,103540,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,50,United-States,<=50K +54,Self-emp-not-inc,136224,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +21,Private,231573,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,242804,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,163671,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,287701,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,48,United-States,>50K +31,Private,187560,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +41,Private,222504,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Female,0,0,38,United-States,<=50K +20,Private,41356,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,59335,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,15,United-States,<=50K +62,Private,84756,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +41,Private,407425,12th,8,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Private,162424,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Self-emp-not-inc,175456,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +28,Private,52603,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +23,Private,250630,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +46,Self-emp-not-inc,233974,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +28,Private,376302,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +50,Private,195638,10th,6,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,225775,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,Mexico,<=50K +84,Private,388384,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,10,United-States,<=50K +48,Self-emp-not-inc,219021,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +61,Self-emp-not-inc,168654,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,20,United-States,<=50K +44,Private,180609,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,42,United-States,<=50K +32,Private,114746,HS-grad,9,Separated,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Female,0,0,60,South,<=50K +25,Private,178037,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +47,State-gov,160045,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,268524,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +37,Private,174844,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,17,United-States,<=50K +28,Private,82488,HS-grad,9,Divorced,Tech-support,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +34,Private,221167,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +32,Self-emp-not-inc,48014,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +24,Private,217226,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +22,?,177902,Some-college,10,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K +30,Private,39386,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,99,United-States,<=50K +56,Private,37394,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,115426,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Private,114158,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,26,United-States,<=50K +40,Private,119101,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,68,United-States,>50K +28,Private,360527,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +39,Private,225544,12th,8,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,108438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Private,230315,Some-college,10,Never-married,Other-service,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Dominican-Republic,<=50K +32,Private,158002,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,55,Ecuador,<=50K +37,Private,179468,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +71,Private,99894,5th-6th,3,Widowed,Priv-house-serv,Not-in-family,Asian-Pac-Islander,Female,0,0,75,United-States,<=50K +30,Private,270889,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +20,Private,42279,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +53,Federal-gov,167380,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1740,50,United-States,<=50K +42,Private,274913,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,45,United-States,<=50K +44,Private,35910,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,56,United-States,>50K +26,Private,68001,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,27162,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,16,United-States,<=50K +37,Self-emp-not-inc,286146,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Local-gov,95462,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,50103,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +54,Private,511668,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,43,United-States,>50K +38,Self-emp-inc,189679,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +29,Private,115064,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,State-gov,215443,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,38,United-States,<=50K +32,Private,174789,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,50,United-States,<=50K +24,Private,91999,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,20,United-States,<=50K +59,Federal-gov,100931,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +56,Self-emp-not-inc,119069,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,277488,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,84,United-States,<=50K +35,Private,265662,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +38,Private,114591,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,40,United-States,>50K +24,Private,227594,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,129707,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1848,40,United-States,>50K +61,?,175032,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,133569,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +20,Local-gov,308654,Some-college,10,Never-married,Protective-serv,Own-child,Asian-Pac-Islander,Female,0,0,20,United-States,<=50K +36,Private,156084,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +45,Federal-gov,380127,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,210781,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,189759,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,2001,40,United-States,<=50K +34,Private,258675,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,223367,11th,7,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +42,?,204817,9th,5,Never-married,?,Own-child,Black,Male,0,0,35,United-States,<=50K +23,Private,409230,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +46,Federal-gov,308077,Prof-school,15,Separated,Prof-specialty,Unmarried,White,Female,0,0,40,Germany,>50K +60,Private,159049,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,Germany,>50K +40,Private,353142,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +55,Private,143030,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,304857,Masters,14,Separated,Tech-support,Not-in-family,White,Male,27828,0,40,United-States,>50K +28,Private,30912,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,43,United-States,<=50K +55,Private,125000,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +47,Private,181363,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +54,Private,338620,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,>50K +32,Private,115989,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K +38,Private,111128,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +61,Self-emp-not-inc,201273,Some-college,10,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Self-emp-inc,137354,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,South,<=50K +29,Private,133420,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +26,Private,192208,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,32,United-States,<=50K +19,Private,220001,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,50,United-States,<=50K +40,Private,352612,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,169426,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,319016,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,2885,0,45,United-States,<=50K +55,Private,119751,Masters,14,Never-married,Prof-specialty,Other-relative,Asian-Pac-Islander,Female,0,0,40,Thailand,<=50K +55,Private,202220,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,2407,0,35,United-States,<=50K +43,Self-emp-not-inc,99220,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,111275,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Federal-gov,261241,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +28,Private,261725,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +36,Private,182013,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,40666,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,216461,Some-college,10,Divorced,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +60,Private,320376,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +35,Private,282951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +36,State-gov,166697,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,290856,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +23,Private,455361,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,Guatemala,<=50K +51,Private,82783,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,56536,11th,7,Never-married,Sales,Own-child,White,Female,1055,0,18,India,<=50K +33,Self-emp-not-inc,109959,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +50,Private,177927,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,192337,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +18,Private,236272,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +26,Private,33610,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,209483,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,47,United-States,<=50K +26,Private,247006,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,United-States,<=50K +30,Local-gov,311913,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +39,?,204756,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +33,Local-gov,300681,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +42,State-gov,24264,Some-college,10,Divorced,Transport-moving,Unmarried,White,Male,0,0,38,United-States,<=50K +28,Private,266070,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +20,Private,226978,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +66,Local-gov,362165,Bachelors,13,Widowed,Prof-specialty,Not-in-family,Black,Female,0,2206,25,United-States,<=50K +31,Private,341672,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,India,<=50K +36,Private,179488,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,Canada,<=50K +39,Federal-gov,243872,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +52,Private,259583,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,159822,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,Poland,>50K +27,Private,219863,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,206947,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +21,Private,245572,9th,5,Never-married,Other-service,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +25,Private,38488,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,182504,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +38,Private,193815,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,Italy,<=50K +51,?,521665,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +29,Private,46442,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1902,50,United-States,>50K +45,Private,60267,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +59,Private,264357,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +41,Private,191814,HS-grad,9,Married-civ-spouse,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,107882,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +43,Private,174575,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +17,Private,143331,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +32,Private,126132,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +42,Private,198619,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +68,Private,211287,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2392,40,United-States,>50K +55,Federal-gov,238192,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,1887,40,United-States,>50K +43,Private,257780,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,183355,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +28,Private,148429,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,71221,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,60,United-States,<=50K +21,Self-emp-not-inc,236769,7th-8th,4,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,32146,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,347491,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,1876,46,United-States,<=50K +34,Private,180714,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,2179,40,United-States,<=50K +57,?,188877,9th,5,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,306747,Bachelors,13,Divorced,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +21,State-gov,478457,Some-college,10,Never-married,Other-service,Own-child,Black,Female,0,0,12,United-States,<=50K +25,Private,248990,5th-6th,3,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,Mexico,<=50K +51,Self-emp-inc,46281,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +35,Private,148015,Bachelors,13,Never-married,Sales,Own-child,Black,Female,0,0,40,United-States,<=50K +19,Private,278115,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +27,Private,190525,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K +34,Private,176673,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,35,United-States,<=50K +33,?,202366,HS-grad,9,Divorced,?,Unmarried,White,Female,0,0,32,United-States,<=50K +36,Private,238415,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,37939,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +60,Self-emp-not-inc,35649,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,383493,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +47,Federal-gov,204900,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,40,United-States,<=50K +42,Private,20809,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,>50K +34,Private,148207,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +21,Private,200153,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +30,Private,169496,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,15,United-States,>50K +53,Private,22978,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +34,Private,366898,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Germany,<=50K +37,Private,324947,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,321577,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +31,Private,241360,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,207564,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +33,Private,220860,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +41,Local-gov,336571,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,State-gov,56402,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +65,Private,180280,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,81282,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,86332,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,4064,0,55,United-States,<=50K +30,Local-gov,27051,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,287647,Masters,14,Divorced,Sales,Not-in-family,White,Male,4787,0,45,United-States,>50K +37,Self-emp-not-inc,183735,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,30,United-States,<=50K +42,Private,100800,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,Private,155094,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,45,United-States,>50K +67,?,102693,HS-grad,9,Widowed,?,Not-in-family,White,Male,1086,0,35,United-States,<=50K +31,Private,151053,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K +50,Private,548361,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,>50K +33,Private,173858,Bachelors,13,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K +27,Private,347153,Some-college,10,Never-married,Transport-moving,Other-relative,White,Male,0,0,40,United-States,<=50K +31,Private,319146,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,40,Mexico,>50K +35,Private,197719,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +55,Private,197114,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,6,United-States,>50K +54,Self-emp-not-inc,109418,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1977,35,United-States,>50K +56,Private,182062,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +21,Private,184543,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Private,175558,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,20,Germany,<=50K +46,Private,122026,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,340543,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +43,Private,101950,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +40,Private,179508,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +52,Private,225317,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +59,Local-gov,53304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Local-gov,282602,Assoc-voc,11,Separated,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +33,Private,184016,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,250165,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,196467,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +59,?,220783,10th,6,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,178780,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +62,Private,65868,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,43,United-States,<=50K +54,Private,35459,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,98986,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +36,Private,282092,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,140764,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,45,United-States,<=50K +30,Private,33124,HS-grad,9,Separated,Farming-fishing,Unmarried,White,Female,0,0,14,United-States,<=50K +46,Private,90042,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +32,Private,102986,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,>50K +21,Private,214387,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,64,United-States,<=50K +39,Private,180667,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,278329,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +32,Private,184440,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3464,0,40,United-States,<=50K +23,Private,140462,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,202565,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Italy,<=50K +62,?,181063,10th,6,Widowed,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +28,Private,287268,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +28,Private,215955,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,82552,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,41745,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,73587,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,35,United-States,<=50K +54,Private,263925,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,196119,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +27,Private,284741,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +30,Private,293936,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,50,?,<=50K +35,Private,340428,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +66,?,175891,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +19,Local-gov,276973,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,20,United-States,<=50K +30,Private,161599,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +32,Private,144064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,236391,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,224943,Assoc-voc,11,Never-married,Sales,Other-relative,Black,Male,0,0,65,United-States,<=50K +44,Private,151294,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +52,Private,68982,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +30,Private,241885,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,189461,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,60,United-States,<=50K +19,Self-emp-not-inc,36012,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +33,Private,85355,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,157595,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,197286,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,362747,Some-college,10,Never-married,Other-service,Not-in-family,Black,Female,0,0,35,United-States,<=50K +24,Private,395297,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +31,Self-emp-not-inc,144949,Bachelors,13,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +20,?,163665,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +32,Private,141490,Assoc-voc,11,Divorced,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +29,Private,147889,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +61,Private,232808,10th,6,Divorced,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +48,Private,70668,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,50,United-States,<=50K +29,Federal-gov,33315,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,?,63526,12th,8,Never-married,?,Not-in-family,Black,Male,0,0,52,United-States,<=50K +34,Private,591711,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,48,?,<=50K +22,Private,200318,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,15,United-States,<=50K +32,Private,97723,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,40,United-States,<=50K +38,Private,109231,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,102889,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +26,Private,167106,HS-grad,9,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +35,Private,182898,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,8614,0,40,United-States,>50K +62,Private,197918,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,67386,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,126592,HS-grad,9,Separated,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +34,Private,49469,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,99999,0,50,United-States,>50K +37,Self-emp-not-inc,119929,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,158199,1st-4th,2,Widowed,Machine-op-inspct,Unmarried,White,Female,0,0,44,Portugal,<=50K +35,Private,341102,9th,5,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +55,Private,101524,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +40,Private,202872,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +25,Private,195201,HS-grad,9,Married-civ-spouse,Sales,Husband,Other,Male,0,0,50,United-States,<=50K +51,Private,128272,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,263094,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +54,Self-emp-inc,357596,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,55,United-States,>50K +47,Local-gov,102628,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +26,Private,171114,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,216414,Assoc-voc,11,Married-spouse-absent,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,127753,12th,8,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +19,Private,282698,7th-8th,4,Never-married,Adm-clerical,Own-child,White,Male,0,0,80,United-States,<=50K +35,Private,139364,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +36,Local-gov,312785,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Male,0,0,35,United-States,<=50K +18,Private,92864,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +46,Local-gov,175428,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,104223,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +29,Private,144784,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +65,Private,178934,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,20,Jamaica,<=50K +41,Private,211253,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +34,Private,133122,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,103540,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +39,State-gov,172700,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +21,Private,282484,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +31,Private,323055,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +33,State-gov,291494,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +28,Private,214702,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,116055,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,2977,0,35,United-States,<=50K +32,Private,226696,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,>50K +31,Private,216827,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,153132,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +48,Private,307440,Bachelors,13,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,45,Philippines,>50K +27,Private,278122,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,122195,HS-grad,9,Widowed,Craft-repair,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Self-emp-not-inc,156890,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,36877,10th,6,Never-married,Sales,Own-child,White,Female,0,0,10,United-States,<=50K +25,Private,131178,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,23,United-States,<=50K +34,Self-emp-inc,62396,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,62,United-States,>50K +33,Private,73054,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,96844,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,20,United-States,<=50K +22,Private,324922,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +61,Private,130684,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,<=50K +40,Private,178983,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K +58,Private,81038,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,12,United-States,<=50K +30,Private,151967,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,58,United-States,<=50K +24,Private,278107,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,60,United-States,<=50K +52,Self-emp-not-inc,183146,12th,8,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,183638,HS-grad,9,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,247892,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,30,United-States,<=50K +22,Private,221480,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +32,Private,118551,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,?,>50K +21,Private,518530,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,193787,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,50,United-States,<=50K +34,Self-emp-inc,157466,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +48,Private,141511,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +61,?,158712,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,99,United-States,<=50K +21,Private,252253,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +20,Private,200450,7th-8th,4,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,52,United-States,<=50K +30,State-gov,343789,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +44,Private,277647,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +44,Private,291566,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,60,United-States,<=50K +29,Private,151382,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,221167,Prof-school,15,Divorced,Tech-support,Not-in-family,White,Female,0,0,35,United-States,<=50K +35,Private,196178,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,302422,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,37379,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +37,Self-emp-not-inc,82540,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +33,Self-emp-not-inc,182926,Bachelors,13,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,?,<=50K +44,Private,159911,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,55,United-States,<=50K +34,Private,212781,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +28,Local-gov,207213,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,5,United-States,<=50K +30,Private,200192,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,45,United-States,<=50K +41,Local-gov,180096,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,192812,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,105908,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,70,United-States,<=50K +48,Private,373366,1st-4th,2,Married-civ-spouse,Farming-fishing,Husband,White,Male,3781,0,50,Mexico,<=50K +26,State-gov,234190,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,20,United-States,<=50K +32,Private,260868,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,109097,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +36,Private,171393,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K +49,Private,209146,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +33,?,289046,HS-grad,9,Divorced,?,Not-in-family,Black,Male,0,1741,40,United-States,<=50K +54,Private,172281,Masters,14,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,>50K +36,Private,73023,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,55,United-States,<=50K +41,Private,122626,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,48,United-States,<=50K +27,Private,113635,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +68,?,257269,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,2377,35,United-States,>50K +21,?,191806,Some-college,10,Never-married,?,Own-child,White,Male,0,0,75,United-States,<=50K +56,?,35723,HS-grad,9,Divorced,?,Own-child,White,Male,0,0,40,United-States,<=50K +40,Self-emp-not-inc,30759,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +46,Private,105327,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,?,376058,9th,5,Never-married,?,Own-child,White,Female,0,0,45,United-States,<=50K +43,Private,219307,9th,5,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +46,Private,208067,HS-grad,9,Divorced,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,78631,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +19,Private,210308,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +67,Local-gov,190661,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,7896,0,50,United-States,>50K +31,Private,594187,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,228476,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +21,Private,126613,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,30267,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,216811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,16,United-States,<=50K +62,Local-gov,115763,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +31,Local-gov,199368,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,50,United-States,>50K +52,Private,159755,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +39,Self-emp-not-inc,188335,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,417668,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +55,?,141807,HS-grad,9,Never-married,?,Not-in-family,White,Male,13550,0,40,United-States,>50K +38,Private,296317,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,164898,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,452406,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,15,United-States,<=50K +27,Private,42696,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,262994,Some-college,10,Divorced,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +43,State-gov,167298,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +51,Private,103529,11th,7,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +47,Private,97883,Bachelors,13,Widowed,Priv-house-serv,Unmarried,White,Female,25236,0,35,United-States,>50K +49,State-gov,269417,Doctorate,16,Never-married,Exec-managerial,Not-in-family,White,Female,0,2258,50,United-States,>50K +34,Private,199539,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +19,?,39460,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,60,United-States,<=50K +79,Federal-gov,62176,Doctorate,16,Widowed,Exec-managerial,Not-in-family,White,Male,0,0,6,United-States,>50K +28,State-gov,239130,Some-college,10,Divorced,Other-service,Unmarried,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,151089,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,331611,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +31,Self-emp-not-inc,203463,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,151518,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +23,Self-emp-inc,39844,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +32,Private,299635,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,Germany,<=50K +67,Private,123393,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,209538,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +35,Self-emp-not-inc,238802,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,499197,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,200220,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,114059,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +18,Private,434430,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,185385,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,24,United-States,<=50K +22,Private,225156,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,377931,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,48,United-States,<=50K +27,?,133359,Bachelors,13,Married-spouse-absent,?,Not-in-family,White,Male,0,0,50,?,<=50K +28,Private,226891,Some-college,10,Never-married,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,30,?,<=50K +32,Private,201988,Prof-school,15,Married-civ-spouse,Sales,Husband,White,Male,4508,0,40,?,<=50K +40,Private,287008,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,55,Germany,>50K +23,Private,151910,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Female,0,1719,40,United-States,<=50K +25,Private,231714,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,178510,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,2258,60,United-States,<=50K +43,Private,178866,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,>50K +31,Private,110643,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,55,United-States,>50K +33,Private,148261,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,217902,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,77207,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +32,?,377017,Assoc-acdm,12,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +78,Private,184759,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,1797,0,15,United-States,<=50K +64,Self-emp-inc,80333,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +58,Private,265086,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +55,?,102058,12th,8,Widowed,?,Not-in-family,White,Male,0,0,30,United-States,<=50K +20,Private,333843,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +35,Private,296478,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +27,Local-gov,116662,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,353298,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,99999,0,50,United-States,>50K +42,Private,142424,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Local-gov,200808,12th,8,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,Puerto-Rico,<=50K +29,Private,119052,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,168981,1st-4th,2,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +44,Private,151780,Some-college,10,Widowed,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +70,Private,237065,5th-6th,3,Widowed,Other-service,Other-relative,White,Female,2346,0,40,?,<=50K +25,Private,509866,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,78,United-States,<=50K +24,State-gov,249385,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Female,0,0,10,United-States,<=50K +42,State-gov,109462,Bachelors,13,Divorced,Adm-clerical,Unmarried,Black,Female,2977,0,40,United-States,<=50K +53,Private,250034,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,50,United-States,>50K +39,Private,249720,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +72,Self-emp-not-inc,258761,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-inc,64048,9th,5,Never-married,Sales,Own-child,White,Female,0,0,44,Portugal,<=50K +25,State-gov,153534,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,193815,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +27,Private,255582,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,204527,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +64,Self-emp-not-inc,159938,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,24,Italy,<=50K +29,Self-emp-not-inc,229341,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +50,Private,128143,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,175479,5th-6th,3,Never-married,Other-service,Unmarried,White,Female,0,0,40,Mexico,<=50K +18,Private,301814,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +20,Private,238917,11th,7,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,32,Mexico,<=50K +32,Private,205581,Some-college,10,Separated,Tech-support,Unmarried,White,Female,0,0,50,United-States,<=50K +45,Private,340341,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,147860,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K +20,?,121023,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +23,Private,259496,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +34,Federal-gov,190228,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1902,48,United-States,>50K +43,Private,180599,Bachelors,13,Separated,Exec-managerial,Unmarried,White,Male,8614,0,40,United-States,>50K +44,Private,116358,Bachelors,13,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +47,Self-emp-not-inc,180446,Some-college,10,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,40,United-States,>50K +47,Private,264244,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +46,Local-gov,197988,1st-4th,2,Never-married,Other-service,Not-in-family,Amer-Indian-Eskimo,Female,0,0,20,United-States,<=50K +19,Private,206599,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,313146,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,99212,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +37,Private,340599,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Private,62932,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,44861,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,53893,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-inc,152810,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,45,United-States,>50K +47,Local-gov,128401,Doctorate,16,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,336951,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +60,Self-emp-not-inc,95445,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3137,0,46,United-States,<=50K +43,Private,54611,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,315984,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,50,United-States,>50K +28,Private,210313,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +19,Private,181020,11th,7,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,30,United-States,<=50K +51,Self-emp-not-inc,120781,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,99999,0,70,India,>50K +19,Private,256979,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,35,United-States,<=50K +64,Private,47298,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +44,Private,125461,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +21,Private,209955,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,48,United-States,<=50K +33,Private,182246,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +63,Private,76860,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +44,?,91949,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +44,Local-gov,136986,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,35,United-States,>50K +28,Federal-gov,183445,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,0,70,Puerto-Rico,<=50K +24,Private,130741,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +20,Federal-gov,191878,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +21,?,233923,Some-college,10,Never-married,?,Own-child,White,Female,0,0,24,United-States,<=50K +20,Private,48121,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,304302,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +34,Federal-gov,284703,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,52,United-States,<=50K +17,Private,401198,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +35,Private,243357,11th,7,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,32276,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,110538,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,<=50K +25,Private,257310,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Self-emp-not-inc,411950,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +52,Local-gov,392668,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +43,Self-emp-not-inc,52498,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,<=50K +36,Private,223433,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +37,Private,87076,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +58,Private,224854,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,193379,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +54,Private,98436,Masters,14,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +42,?,116632,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,60,United-States,<=50K +65,Self-emp-inc,210381,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,65,United-States,>50K +44,Private,90688,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,45,Laos,<=50K +61,Private,229744,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,El-Salvador,<=50K +29,Private,59732,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +34,Private,192900,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,State-gov,90046,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,Canada,<=50K +40,Private,272960,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,42,United-States,>50K +42,Self-emp-inc,152071,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Cuba,>50K +50,Private,301583,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,171964,HS-grad,9,Never-married,?,Own-child,White,Female,0,1602,20,United-States,<=50K +49,Private,315984,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,241962,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,131591,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,45,United-States,<=50K +70,Self-emp-inc,207938,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,5,United-States,<=50K +51,Private,53197,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +24,Private,121023,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,287229,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +22,Private,163911,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +31,Private,191834,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,204734,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,220978,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +39,Private,365739,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,50103,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,283293,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,194534,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,99999,0,60,United-States,>50K +19,Private,263338,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +36,?,504871,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +30,Private,348592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,44,United-States,<=50K +28,Private,173944,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Private,226135,9th,5,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +32,Private,172375,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +57,Self-emp-inc,127728,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +47,Private,347025,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,191335,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K +21,Private,247779,11th,7,Never-married,Sales,Own-child,White,Female,0,0,38,United-States,<=50K +25,State-gov,262664,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +37,Private,95855,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,74501,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,245317,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +61,Private,29059,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,2754,25,United-States,<=50K +56,Private,200316,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +35,Private,198341,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,?,<=50K +59,Private,100453,7th-8th,4,Separated,Other-service,Own-child,Black,Female,0,0,38,United-States,<=50K +44,Self-emp-not-inc,343190,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,55,United-States,>50K +47,Private,235683,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,83237,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +64,Private,88470,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,198801,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,168107,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Private,196193,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +30,?,205418,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +46,Private,695411,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,44,United-States,<=50K +45,Self-emp-inc,139268,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +44,Federal-gov,192771,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +59,Self-emp-inc,122390,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,48,United-States,>50K +65,Self-emp-inc,184965,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +23,Private,180837,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +33,Private,159548,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,38,United-States,<=50K +34,Private,110554,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +38,Private,103474,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +62,Private,178249,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +21,Private,138768,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +41,Private,321824,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,8,United-States,<=50K +35,Private,244803,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Peru,<=50K +62,Local-gov,206063,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,167651,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +69,State-gov,163689,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +19,Self-emp-not-inc,45546,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +47,Private,420986,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Self-emp-inc,68015,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K +54,Private,175594,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +58,?,148673,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,<=50K +30,Private,206322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,73,United-States,>50K +39,Private,272338,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,25,United-States,<=50K +73,Private,105886,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,1173,0,75,United-States,<=50K +64,Private,312498,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,177675,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,152810,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,319122,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,212304,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +53,Private,208321,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,1740,40,United-States,<=50K +39,Private,240841,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +49,Private,208978,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,16,United-States,<=50K +23,Local-gov,442359,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1092,40,United-States,<=50K +28,Private,198197,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +46,Private,261059,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +40,Private,72791,Some-college,10,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +24,Private,275395,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +20,?,195767,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,462966,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,0,0,8,El-Salvador,<=50K +24,?,265434,Bachelors,13,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,31269,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Local-gov,246291,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,46,United-States,<=50K +54,Federal-gov,128378,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Local-gov,231180,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +31,Local-gov,206297,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +47,Self-emp-inc,337050,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,193075,HS-grad,9,Divorced,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Local-gov,169652,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Male,0,1669,55,United-States,<=50K +35,Private,35945,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,?,141453,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +36,Private,252231,Preschool,1,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,Puerto-Rico,<=50K +30,Private,128016,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +39,Private,150057,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +25,Private,258276,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +40,Private,188465,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Self-emp-inc,161007,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,403468,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Mexico,<=50K +53,Federal-gov,181677,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,120243,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +41,Private,157025,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +25,Private,306908,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +66,Self-emp-not-inc,28061,7th-8th,4,Widowed,Farming-fishing,Unmarried,White,Male,0,0,50,United-States,<=50K +53,Private,95540,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,1471,0,40,United-States,<=50K +27,Private,135001,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,293398,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,185106,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,245790,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,80,United-States,<=50K +26,Private,134004,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +26,Private,205036,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,42,United-States,<=50K +26,Private,244495,9th,5,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +38,Private,159179,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,405155,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +34,Private,177437,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +32,Federal-gov,402361,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Self-emp-not-inc,184553,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +31,Private,302626,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,99138,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +39,Private,112731,HS-grad,9,Divorced,Other-service,Not-in-family,Other,Female,0,0,40,Dominican-Republic,<=50K +35,Private,192923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2377,40,United-States,<=50K +18,Private,761006,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +75,?,125784,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +28,Private,182344,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,117012,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +39,Federal-gov,30673,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +31,Federal-gov,484669,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,State-gov,314052,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +43,State-gov,38537,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,38,?,<=50K +27,Private,165412,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,198341,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1902,55,India,>50K +46,Private,116635,Bachelors,13,Separated,Prof-specialty,Unmarried,Black,Female,0,0,36,United-States,<=50K +20,Private,185452,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,118686,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,20,United-States,<=50K +69,Private,76939,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Federal-gov,160646,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,35,United-States,<=50K +49,State-gov,126754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +20,Private,211049,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +52,Private,311931,5th-6th,3,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,El-Salvador,<=50K +33,Private,283602,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,59,Mexico,<=50K +18,Private,155021,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,6,United-States,<=50K +55,Self-emp-not-inc,100569,HS-grad,9,Separated,Farming-fishing,Unmarried,White,Female,0,0,55,United-States,<=50K +61,Private,380462,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +61,Federal-gov,221943,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,9386,0,40,United-States,>50K +39,Private,114544,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,>50K +30,Private,248584,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,227468,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +36,Private,66173,Assoc-acdm,12,Married-civ-spouse,Sales,Wife,White,Female,0,0,15,United-States,<=50K +34,Private,107624,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,70387,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,4386,0,40,India,>50K +38,Private,423616,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,36,United-States,>50K +46,Private,98637,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +27,Local-gov,216013,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,210926,11th,7,Separated,Handlers-cleaners,Unmarried,White,Female,0,0,40,Nicaragua,<=50K +60,Local-gov,255711,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,60,United-States,>50K +23,Private,77581,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +29,Private,152461,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,14344,0,50,United-States,>50K +22,Private,203263,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +25,Private,261519,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +29,Private,91189,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +90,Federal-gov,195433,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,United-States,<=50K +37,Local-gov,272471,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,311524,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,38,United-States,<=50K +18,Private,151386,HS-grad,9,Married-spouse-absent,Other-service,Own-child,Black,Male,0,0,40,Jamaica,<=50K +35,Private,187625,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K +50,Private,108933,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,40,United-States,<=50K +54,Private,135388,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +43,Private,169383,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Self-emp-inc,191129,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,>50K +51,Private,467611,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +31,Private,373185,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,42,Mexico,<=50K +69,Private,130060,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,2387,0,40,United-States,<=50K +57,Private,199934,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +71,?,116165,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,14,Canada,<=50K +28,Private,42881,10th,6,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +28,?,174666,10th,6,Separated,?,Not-in-family,White,Male,0,0,80,United-States,<=50K +25,Private,169759,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,95,United-States,<=50K +49,Self-emp-not-inc,181547,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,30,Columbia,<=50K +52,Private,95704,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,237432,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,?,<=50K +32,Private,226267,5th-6th,3,Married-spouse-absent,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +31,Private,159979,Some-college,10,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +30,Private,203488,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +24,Private,403671,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,192323,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,66,Yugoslavia,<=50K +30,Private,167832,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,145166,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +42,State-gov,155657,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,25,United-States,<=50K +49,Private,116789,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,39234,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +25,Private,124111,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,Private,172828,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,55,Outlying-US(Guam-USVI-etc),<=50K +55,Private,143372,HS-grad,9,Divorced,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +31,Self-emp-not-inc,265807,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,50,United-States,<=50K +25,State-gov,218184,Bachelors,13,Never-married,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +32,Private,154087,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Federal-gov,440647,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +37,Private,193952,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,?,<=50K +52,Private,125932,7th-8th,4,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,284652,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +21,?,214635,Some-college,10,Never-married,?,Own-child,White,Male,0,0,24,United-States,<=50K +43,Private,173316,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,State-gov,65390,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,<=50K +40,Self-emp-inc,45054,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +54,Private,185042,1st-4th,2,Separated,Priv-house-serv,Other-relative,White,Female,0,0,40,Mexico,<=50K +35,Private,117381,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,258666,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Female,0,1974,40,United-States,<=50K +35,Private,179668,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Private,127277,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Taiwan,>50K +26,Private,192022,Bachelors,13,Never-married,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,99551,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,15,United-States,<=50K +51,Private,208899,Bachelors,13,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +35,Private,287658,Assoc-acdm,12,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,30,Jamaica,<=50K +31,Private,196125,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,275051,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +38,Private,23892,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,376455,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +29,Private,267989,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +39,Private,30269,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,204235,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +46,Local-gov,209057,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +73,Private,349347,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,25,United-States,<=50K +47,Local-gov,154033,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,1876,40,United-States,<=50K +28,Private,124680,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,70,United-States,<=50K +27,Private,132805,10th,6,Never-married,Sales,Other-relative,White,Male,0,1980,40,United-States,<=50K +38,Private,99233,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +19,Private,224849,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +60,Local-gov,101110,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,>50K +24,Private,184839,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,302847,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,181322,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Local-gov,192213,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Canada,<=50K +28,State-gov,37250,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,16,United-States,<=50K +38,Self-emp-inc,140854,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +47,Private,158286,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Private,269095,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +27,Private,279960,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,176239,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,115360,10th,6,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,3464,0,40,United-States,<=50K +49,Private,337666,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +68,?,255276,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,48,United-States,>50K +63,Private,145212,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,185099,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,>50K +42,Private,142756,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +28,Private,156300,Masters,14,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,45,United-States,<=50K +68,?,186266,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,8,United-States,<=50K +38,Private,219137,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,22,United-States,<=50K +43,Private,110970,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +49,Private,203067,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +59,Private,148844,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,154941,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +26,Private,124111,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,36,United-States,<=50K +59,Private,157303,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,48,United-States,<=50K +34,Private,113838,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,165737,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,43,India,>50K +67,Private,140849,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,24,United-States,<=50K +45,Private,200363,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,44,United-States,<=50K +64,Private,180247,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +51,Private,82578,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,Canada,>50K +31,Private,227146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +42,Self-emp-inc,348886,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +65,Private,90907,5th-6th,3,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +23,Private,142766,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,20,United-States,<=50K +31,Private,246439,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +33,Private,184784,10th,6,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Local-gov,195262,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +63,Private,167967,Masters,14,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K +48,Private,145636,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,>50K +45,Local-gov,170099,Assoc-acdm,12,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +17,Private,228253,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +26,Local-gov,205570,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Federal-gov,506830,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,412435,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +44,Private,163331,Some-college,10,Widowed,Adm-clerical,Unmarried,White,Female,0,0,32,United-States,<=50K +43,Federal-gov,222756,Masters,14,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,State-gov,318918,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,105188,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,Haiti,<=50K +23,Private,199884,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,45,United-States,<=50K +19,Private,96483,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +49,Self-emp-not-inc,192203,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,<=50K +52,Private,203392,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,United-States,<=50K +32,Private,99646,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +38,Private,167440,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,4508,0,40,United-States,<=50K +25,?,210095,5th-6th,3,Never-married,?,Unmarried,White,Female,0,0,25,El-Salvador,<=50K +44,Private,219591,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +63,Private,30270,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,226020,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,60,?,<=50K +21,Private,314165,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,Columbia,<=50K +32,Private,330715,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Self-emp-not-inc,35448,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,50,United-States,<=50K +50,State-gov,172970,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +26,Self-emp-inc,189502,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K +35,Private,61518,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,<=50K +31,Private,574005,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +24,Private,281356,1st-4th,2,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,66,Mexico,<=50K +40,Private,138975,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,<=50K +31,Private,176969,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,55,United-States,<=50K +43,Private,132393,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,Poland,<=50K +44,Private,194924,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,>50K +40,Private,478205,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +75,?,128224,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +52,Local-gov,30118,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,3137,0,42,United-States,<=50K +51,Self-emp-not-inc,290688,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,State-gov,85566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,121874,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +40,Self-emp-not-inc,29036,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,35,United-States,<=50K +33,Private,348152,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Local-gov,73715,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +29,Private,151382,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,50,United-States,<=50K +37,Private,236359,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +37,Private,19899,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,45,United-States,>50K +19,Private,138760,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Local-gov,354962,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,181363,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Private,393360,Some-college,10,Never-married,Protective-serv,Own-child,Black,Male,0,0,30,United-States,<=50K +34,Private,210736,Some-college,10,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,?,<=50K +38,Private,110013,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,43,United-States,<=50K +26,Private,193304,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,118551,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +57,Private,201991,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,157446,11th,7,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +26,Local-gov,283217,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,247794,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,84,United-States,<=50K +38,Private,43712,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K +61,Private,35649,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,6,United-States,<=50K +36,Self-emp-not-inc,342719,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K +61,?,71467,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,3103,0,40,United-States,>50K +17,Private,271837,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,16,United-States,<=50K +40,Private,400061,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Other,Male,0,0,40,United-States,>50K +18,Private,62972,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +21,Private,174907,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K +41,Private,176452,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,Peru,<=50K +46,Private,268358,11th,7,Separated,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,176904,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,176683,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Male,0,0,52,United-States,<=50K +39,Private,98077,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,42,United-States,<=50K +36,Private,266461,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,48,United-States,<=50K +51,Private,312477,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,3908,0,40,United-States,<=50K +27,Private,604045,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Local-gov,131568,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Private,97688,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,47,United-States,<=50K +23,Private,373628,Bachelors,13,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +56,Private,367984,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +41,Self-emp-not-inc,193459,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +49,Private,250733,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,46,United-States,<=50K +46,Federal-gov,199725,Assoc-voc,11,Divorced,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Female,0,0,60,United-States,<=50K +54,Private,156877,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Greece,<=50K +38,Private,122076,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,43,United-States,>50K +45,Self-emp-not-inc,216402,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,India,>50K +50,Self-emp-not-inc,42402,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,30,United-States,>50K +22,Private,315974,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,63437,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,Ireland,<=50K +27,Private,160786,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +34,Private,85374,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,465974,11th,7,Never-married,Transport-moving,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,78529,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +36,State-gov,98037,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +22,Private,178390,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,210940,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,2002,45,United-States,<=50K +43,Private,64506,Some-college,10,Divorced,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +54,Private,128378,Some-college,10,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,234460,9th,5,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,Dominican-Republic,<=50K +29,Private,176760,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,United-States,<=50K +40,State-gov,59460,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +18,Private,234428,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +31,Private,215047,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +57,Private,140426,Doctorate,16,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,40,Germany,>50K +32,Private,191777,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +48,Private,148995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +24,Private,229773,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +24,Private,174461,Assoc-acdm,12,Divorced,Other-service,Not-in-family,White,Female,0,0,22,United-States,<=50K +24,Private,250647,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Guatemala,<=50K +49,Local-gov,119904,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,30,United-States,>50K +27,Self-emp-not-inc,151402,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1573,70,United-States,<=50K +37,Private,184556,Some-college,10,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,263561,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +19,Private,177945,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +45,Private,306889,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +54,Local-gov,54377,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,144351,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,625,40,United-States,<=50K +22,Private,95566,Some-college,10,Married-spouse-absent,Sales,Own-child,Other,Female,0,0,22,Dominican-Republic,<=50K +20,Private,181675,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,172129,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +49,?,350759,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +58,Self-emp-not-inc,105592,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +20,?,200061,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,?,<=50K +34,Self-emp-inc,200689,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,386726,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,44,United-States,>50K +28,Local-gov,135567,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,4101,0,60,United-States,<=50K +38,Local-gov,282753,Assoc-voc,11,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +32,Private,137367,11th,7,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,India,<=50K +35,Self-emp-inc,153976,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +51,Self-emp-inc,96062,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +33,Private,152933,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +71,Private,97870,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,15,Germany,<=50K +48,Private,254291,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +53,Self-emp-not-inc,101432,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,125776,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +64,Self-emp-not-inc,165479,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,5,United-States,<=50K +42,Federal-gov,172307,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,48,United-States,>50K +25,Private,176729,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +66,Private,174276,Some-college,10,Widowed,Sales,Unmarried,White,Female,0,0,50,United-States,>50K +59,Federal-gov,48102,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,?,>50K +42,Self-emp-not-inc,79531,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +24,Private,306460,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +19,Private,55284,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K +26,Private,172063,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +22,Private,141028,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,30,United-States,<=50K +33,Private,37274,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +63,Private,31389,11th,7,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,12,United-States,<=50K +20,Private,415913,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +33,Private,295591,5th-6th,3,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +57,?,202903,7th-8th,4,Married-civ-spouse,?,Wife,White,Female,1173,0,45,Puerto-Rico,<=50K +56,Private,159770,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +70,Self-emp-not-inc,268832,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,24,United-States,>50K +42,Private,126003,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +25,Local-gov,225193,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Private,297735,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +80,Self-emp-not-inc,225892,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,1409,0,40,United-States,<=50K +36,Private,605502,10th,6,Never-married,Transport-moving,Not-in-family,Black,Female,0,0,40,United-States,<=50K +37,Private,174150,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,165466,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,>50K +52,State-gov,189728,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Private,360491,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,115040,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,262688,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,7688,0,50,United-States,>50K +70,Self-emp-inc,158437,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,>50K +55,Private,41108,Some-college,10,Widowed,Farming-fishing,Not-in-family,White,Male,0,2258,62,United-States,>50K +25,Private,149875,Bachelors,13,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,131916,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Italy,>50K +22,Private,60668,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,153132,Assoc-acdm,12,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,155256,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +54,Private,244770,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +38,Private,312108,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +52,Private,102828,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +36,Private,93225,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +74,Self-emp-inc,231002,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +35,Self-emp-not-inc,256992,5th-6th,3,Married-civ-spouse,Other-service,Wife,White,Female,0,0,15,Mexico,<=50K +41,Private,118721,12th,8,Divorced,Adm-clerical,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Private,151989,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +25,Private,109112,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +35,Private,589809,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,13550,0,60,United-States,>50K +38,Private,172538,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +34,State-gov,318982,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1848,40,United-States,>50K +48,Private,204629,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +50,Self-emp-not-inc,99894,5th-6th,3,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Female,0,0,15,United-States,<=50K +19,Private,369463,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +51,Private,79324,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,61178,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +20,Private,204226,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +17,Private,183110,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,16,United-States,<=50K +42,Private,96321,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +25,Private,167031,Some-college,10,Never-married,Other-service,Other-relative,Other,Female,0,0,25,Ecuador,<=50K +36,Private,108997,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +65,Private,176796,Doctorate,16,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,Self-emp-not-inc,134737,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,United-States,>50K +33,Self-emp-inc,49795,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +32,State-gov,131588,Some-college,10,Never-married,Tech-support,Unmarried,Black,Female,0,0,20,United-States,<=50K +25,Private,307643,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,351350,Some-college,10,Divorced,Protective-serv,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,260761,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +72,Private,156310,10th,6,Married-civ-spouse,Other-service,Husband,White,Male,2414,0,12,United-States,<=50K +36,Private,207789,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K +67,Self-emp-not-inc,252842,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,1797,0,20,United-States,<=50K +28,Private,294936,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,4064,0,45,United-States,<=50K +24,Private,196269,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,Other,Male,0,0,40,United-States,<=50K +17,Private,46402,7th-8th,4,Never-married,Sales,Own-child,White,Male,0,0,8,United-States,<=50K +32,Self-emp-not-inc,267161,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,30,United-States,<=50K +67,Private,160456,11th,7,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,123983,Some-college,10,Never-married,?,Other-relative,Asian-Pac-Islander,Male,0,0,10,Vietnam,<=50K +51,Private,123053,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,5013,0,40,India,<=50K +32,Private,426467,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,3674,0,40,Guatemala,<=50K +39,Private,269323,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Self-emp-not-inc,42857,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K +50,Self-emp-not-inc,183915,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +24,Private,211391,10th,6,Never-married,Sales,Not-in-family,White,Female,0,0,15,United-States,<=50K +21,Local-gov,193130,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,86745,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,16,United-States,<=50K +34,Private,226525,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +68,?,270339,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +49,Self-emp-not-inc,343742,10th,6,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,32,United-States,<=50K +50,Private,150975,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +33,Private,207301,Assoc-acdm,12,Divorced,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +18,Private,135924,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,184277,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,>50K +20,Private,142233,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +46,Self-emp-inc,120902,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,3103,0,37,United-States,>50K +64,Local-gov,158412,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,126161,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +35,Private,149347,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,70,United-States,<=50K +21,Private,322674,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,32,United-States,<=50K +29,Private,55390,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,State-gov,200904,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,30,United-States,>50K +45,Private,166056,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,116666,Masters,14,Divorced,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,50,India,>50K +41,Private,168324,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +37,Private,121772,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +45,Private,126889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,60,United-States,>50K +20,?,401690,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +45,Self-emp-inc,117605,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +20,Federal-gov,410446,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K +63,Self-emp-inc,38472,Some-college,10,Widowed,Sales,Not-in-family,White,Female,14084,0,60,United-States,>50K +35,Self-emp-not-inc,335704,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,70261,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,47577,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +23,Private,117767,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,179641,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +23,?,343553,11th,7,Never-married,?,Not-in-family,Black,Male,0,0,40,United-States,<=50K +36,Self-emp-not-inc,328466,5th-6th,3,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,Mexico,>50K +46,Private,265097,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,5,United-States,<=50K +38,Local-gov,414791,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +55,Local-gov,48055,12th,8,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,341672,Some-college,10,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,0,0,40,India,<=50K +48,Private,266764,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +35,Private,233571,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,50,United-States,<=50K +53,Private,126592,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,7688,0,40,United-States,>50K +47,Private,70754,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,138852,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,4650,0,22,United-States,<=50K +32,Private,175856,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,193494,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,46,United-States,<=50K +41,Private,104334,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +47,Federal-gov,197332,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,205844,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,25,United-States,<=50K +45,Local-gov,206459,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +33,Private,202822,7th-8th,4,Never-married,Other-service,Unmarried,Black,Female,0,0,14,Trinadad&Tobago,<=50K +68,Without-pay,174695,Some-college,10,Married-spouse-absent,Farming-fishing,Unmarried,White,Female,0,0,25,United-States,<=50K +44,Private,183342,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +49,Private,105614,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,329603,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Poland,>50K +41,Private,77373,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1848,65,United-States,>50K +29,Private,207473,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Mexico,<=50K +46,Private,149161,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,?,<=50K +19,Private,311974,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,25,Mexico,<=50K +56,Private,175127,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,111625,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +29,Private,48895,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,27049,HS-grad,9,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,25,United-States,<=50K +38,Private,108907,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,?,<=50K +52,Private,94988,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,218343,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +20,Private,227626,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,60,United-States,<=50K +31,Private,272856,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,50,England,<=50K +39,Private,30916,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,276229,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,289106,Assoc-acdm,12,Separated,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +67,?,39100,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,5,United-States,<=50K +45,Private,192776,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,55,United-States,>50K +61,Private,147280,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +18,Private,187770,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +51,State-gov,213296,Bachelors,13,Widowed,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,107410,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,?,170272,Some-college,10,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,86808,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +48,Private,149210,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,45,United-States,<=50K +62,Private,123411,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,53,United-States,<=50K +21,?,306779,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +28,Private,487347,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,Private,283945,10th,6,Never-married,Handlers-cleaners,Other-relative,White,Male,0,1602,45,United-States,<=50K +20,Private,375698,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +41,Private,271753,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,251854,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Private,264052,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +43,State-gov,28451,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K +20,Private,282604,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +29,Private,185908,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,55,United-States,>50K +51,Federal-gov,198186,Bachelors,13,Widowed,Prof-specialty,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,242521,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,337940,5th-6th,3,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,Mexico,<=50K +30,Private,212064,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,129263,HS-grad,9,Widowed,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +68,Local-gov,144761,HS-grad,9,Widowed,Protective-serv,Not-in-family,White,Male,0,1668,20,United-States,<=50K +42,Private,109912,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,>50K +41,Private,113324,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,187795,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +20,Private,173724,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +43,Private,185129,Bachelors,13,Divorced,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,73134,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,60,United-States,>50K +45,Private,236040,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +39,Private,74194,HS-grad,9,Never-married,Farming-fishing,Unmarried,White,Male,0,0,40,United-States,<=50K +31,Local-gov,102130,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,140915,Some-college,10,Never-married,Sales,Other-relative,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K +69,?,107575,HS-grad,9,Divorced,?,Not-in-family,White,Female,2964,0,35,United-States,<=50K +38,State-gov,34364,Masters,14,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,258037,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,Cuba,>50K +18,Private,391585,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +41,Self-emp-not-inc,233130,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Mexico,<=50K +30,Private,101345,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,3103,0,55,United-States,>50K +23,?,32897,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +26,Private,248612,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,30,United-States,<=50K +37,Private,212465,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,198587,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Female,2174,0,50,United-States,<=50K +33,Private,405913,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Peru,>50K +37,Private,588003,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +31,Private,46807,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,210498,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +35,Private,206951,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +28,Self-emp-not-inc,237466,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,30,United-States,>50K +59,Private,279636,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,Guatemala,<=50K +42,Private,29320,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,271262,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,?,29361,Assoc-acdm,12,Never-married,?,Not-in-family,White,Female,0,0,45,United-States,<=50K +32,Private,76773,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,109004,HS-grad,9,Separated,Craft-repair,Unmarried,Black,Male,0,0,40,United-States,<=50K +43,Private,226902,Bachelors,13,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +46,Private,176552,11th,7,Divorced,Prof-specialty,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,>50K +41,Private,182303,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +59,Local-gov,296253,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,8614,0,60,United-States,>50K +20,Private,218215,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +57,Private,165695,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +46,Self-emp-not-inc,51271,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4386,0,70,United-States,<=50K +45,Private,96100,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +29,Local-gov,82393,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,Asian-Pac-Islander,Male,0,1590,45,United-States,<=50K +23,Private,248978,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +46,Private,254367,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,1590,48,United-States,<=50K +55,?,200235,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +58,Private,94429,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +38,Private,87282,Assoc-voc,11,Never-married,Exec-managerial,Other-relative,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +29,Private,119793,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,50,United-States,<=50K +57,?,85815,HS-grad,9,Divorced,?,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +26,Local-gov,197764,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,306982,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +61,Private,80896,HS-grad,9,Separated,Transport-moving,Unmarried,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +31,Private,197886,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,15024,0,45,United-States,>50K +43,Private,355728,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,121124,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,15024,0,50,United-States,>50K +51,State-gov,193720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,56,United-States,>50K +23,Private,347292,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,34506,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,326370,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,38,?,<=50K +22,?,269221,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,63509,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,148254,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,16,United-States,>50K +33,Private,190511,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +46,Private,268022,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,?,>50K +18,Private,20057,7th-8th,4,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +52,Private,206862,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,189498,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,45,United-States,>50K +28,Private,166320,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Private,289886,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,Vietnam,<=50K +23,?,86337,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +45,Local-gov,54190,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +17,Private,147069,10th,6,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +56,Private,282023,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +38,Self-emp-inc,379485,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Male,0,0,45,United-States,<=50K +81,Private,129338,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K +22,Private,99829,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +43,State-gov,182254,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,109428,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,1740,40,United-States,<=50K +42,Self-emp-not-inc,351161,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +66,?,210750,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,<=50K +50,Private,132716,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +31,Private,242984,Some-college,10,Separated,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,101509,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,509629,Some-college,10,Never-married,?,Own-child,White,Female,0,0,35,United-States,<=50K +36,Private,119957,Bachelors,13,Separated,Other-service,Unmarried,Black,Female,0,0,35,United-States,<=50K +33,Private,69727,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +36,Private,204590,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,213,40,United-States,<=50K +37,?,50862,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,55,United-States,<=50K +50,Private,182907,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +55,Private,206487,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Private,168015,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,149396,Some-college,10,Never-married,Other-service,Other-relative,Black,Female,0,0,30,Haiti,<=50K +39,Federal-gov,184964,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,>50K +34,Private,398988,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,128777,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Female,0,0,55,United-States,<=50K +60,Private,252413,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,32,United-States,>50K +33,Private,181372,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +58,Private,216851,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,El-Salvador,<=50K +27,Private,106935,Some-college,10,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,State-gov,363875,Some-college,10,Divorced,Protective-serv,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +63,Private,287277,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,172342,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,308498,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,15,United-States,<=50K +29,Private,122127,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,8614,0,40,United-States,>50K +31,Private,106437,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,>50K +49,Self-emp-inc,306289,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +45,Self-emp-inc,201699,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +42,Private,282062,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,235108,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,339482,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,181820,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,99335,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,367533,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2580,0,40,United-States,<=50K +57,Private,64960,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,45,United-States,<=50K +50,Private,269095,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,58683,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +35,Self-emp-not-inc,89508,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3908,0,60,United-States,<=50K +19,Private,100999,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,34125,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,28,United-States,<=50K +20,Private,115057,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,139126,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,104632,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +40,Federal-gov,178866,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +54,Private,139850,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +28,Private,61435,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +38,Private,309230,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +28,Private,45613,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,272615,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,54318,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +27,Private,165519,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,48495,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +38,Private,143123,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +67,Self-emp-not-inc,431426,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,20051,0,4,United-States,>50K +75,Private,256474,Masters,14,Never-married,Protective-serv,Not-in-family,White,Male,0,0,16,United-States,<=50K +41,Private,191451,Masters,14,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,>50K +37,Private,99146,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +47,Private,235986,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,50,Cuba,<=50K +34,Local-gov,429897,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Mexico,>50K +25,Private,189897,HS-grad,9,Married-civ-spouse,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,145155,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,State-gov,192257,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,2174,0,40,United-States,<=50K +35,Private,194960,HS-grad,9,Never-married,Farming-fishing,Not-in-family,Other,Male,0,0,40,Puerto-Rico,<=50K +44,Local-gov,357814,12th,8,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,35,Mexico,<=50K +27,Local-gov,137629,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,>50K +42,Private,156526,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,33,United-States,<=50K +26,Private,189238,9th,5,Never-married,Other-service,Own-child,White,Female,0,0,38,El-Salvador,<=50K +23,Private,202989,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,Canada,<=50K +28,Private,25684,HS-grad,9,Never-married,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,192939,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,138692,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,50,United-States,<=50K +29,Private,222249,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +56,Self-emp-not-inc,201318,9th,5,Married-civ-spouse,Exec-managerial,Other-relative,White,Male,3411,0,50,Columbia,<=50K +23,?,190650,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Male,0,0,35,United-States,<=50K +30,Private,56004,Some-college,10,Never-married,Exec-managerial,Own-child,Black,Female,0,0,40,United-States,<=50K +48,Private,182313,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-not-inc,138962,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,72,?,<=50K +38,Private,277248,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Cuba,>50K +24,Private,125031,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +47,State-gov,216414,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,171176,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,48,?,<=50K +29,Private,356133,Some-college,10,Never-married,Prof-specialty,Other-relative,White,Female,0,0,40,United-States,<=50K +45,Private,185397,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,308285,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,56651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,154863,9th,5,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,Trinadad&Tobago,>50K +46,Federal-gov,44706,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,50,United-States,>50K +34,?,222548,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,4,United-States,<=50K +32,Private,248754,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,104981,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,315065,Some-college,10,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K +46,Private,188325,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,221661,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,35,United-States,<=50K +59,Private,81973,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +31,Private,169122,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +48,Private,216734,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,98101,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,292511,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +20,Private,122971,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,35,United-States,<=50K +29,Private,124953,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +54,Private,123011,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,76417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,<=50K +43,Private,351576,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +46,Federal-gov,33794,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,3103,0,40,United-States,>50K +33,Private,79923,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Private,117983,10th,6,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +36,Private,186110,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,187589,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5178,0,40,United-States,>50K +37,?,319685,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,54,United-States,>50K +64,?,64101,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,<=50K +45,Self-emp-not-inc,162923,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,288519,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,33798,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,195734,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,2354,0,40,United-States,<=50K +23,Private,214120,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,113515,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Self-emp-not-inc,261230,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,98515,Assoc-voc,11,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,187715,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +23,?,214238,7th-8th,4,Never-married,?,Not-in-family,White,Female,0,0,40,Mexico,<=50K +32,Private,123964,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,4386,0,50,United-States,<=50K +26,Private,68991,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +52,Private,292110,5th-6th,3,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +19,Private,198320,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,45,United-States,<=50K +33,Private,709798,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +60,Private,372838,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,160402,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,38,United-States,<=50K +45,Private,98475,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +37,Local-gov,97136,Some-college,10,Married-spouse-absent,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Private,136985,Assoc-acdm,12,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,187356,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,66,United-States,<=50K +46,State-gov,107231,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1740,40,United-States,<=50K +20,Private,305874,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,290922,Masters,14,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +48,Private,248254,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,40,United-States,>50K +38,Private,160808,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,4386,0,48,United-States,<=50K +36,Private,247321,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,247651,7th-8th,4,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,56,United-States,<=50K +29,Private,214702,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1974,35,United-States,<=50K +64,Private,75577,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,2580,0,50,United-States,<=50K +34,Private,561334,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +36,?,224886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +41,Local-gov,401134,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,258170,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +68,?,141181,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,<=50K +37,Private,292370,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,50,?,>50K +22,Private,300871,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,136721,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,140399,Some-college,10,Never-married,?,Other-relative,White,Female,0,0,30,United-States,<=50K +36,Private,109133,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,186534,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +25,Private,226891,Assoc-voc,11,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +33,Private,241885,Some-college,10,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,97165,Some-college,10,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,40,United-States,<=50K +33,Private,212918,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,70,United-States,<=50K +24,Private,211585,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +47,Local-gov,178309,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Self-emp-inc,481987,10th,6,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,215211,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +33,Local-gov,194901,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +44,Private,340885,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1977,40,United-States,>50K +33,Local-gov,190290,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Male,0,0,56,United-States,<=50K +26,Private,188569,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +22,Private,162282,Assoc-voc,11,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +34,Private,287315,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +31,Self-emp-inc,304212,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,45,United-States,<=50K +73,?,200878,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,15,United-States,<=50K +38,Local-gov,256864,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,46401,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +36,Private,37778,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,191722,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,54,United-States,>50K +64,Self-emp-not-inc,103643,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,15,United-States,>50K +24,Private,143766,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,55,United-States,<=50K +21,State-gov,204425,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,20,United-States,<=50K +28,Private,156257,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +18,?,113185,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +41,Self-emp-inc,112262,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,28031,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,16,United-States,<=50K +58,Private,320102,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +50,Self-emp-not-inc,334273,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,8,United-States,<=50K +30,Private,356015,11th,7,Married-spouse-absent,Handlers-cleaners,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,Mexico,<=50K +47,Private,278900,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,142528,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +50,Federal-gov,343014,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,<=50K +29,Private,201017,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,Scotland,<=50K +31,Self-emp-not-inc,81030,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +40,Self-emp-not-inc,34007,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +31,Private,29662,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +53,Private,347446,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +33,Private,90668,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,190403,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +56,Private,109015,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,50,United-States,>50K +38,Private,234807,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +18,Private,157131,11th,7,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +50,Private,94081,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +78,Private,135566,HS-grad,9,Widowed,Sales,Unmarried,White,Female,2329,0,12,United-States,<=50K +27,Private,103164,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,570002,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +24,State-gov,215797,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,289405,Some-college,10,Never-married,Sales,Own-child,White,Male,0,1602,15,United-States,<=50K +25,Private,239461,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,101510,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +30,Self-emp-inc,443546,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +37,Federal-gov,141029,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,207202,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +67,Without-pay,137192,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,12,Philippines,<=50K +35,Private,222989,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +75,Self-emp-not-inc,36325,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +47,Private,73394,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +23,Private,249046,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +51,Federal-gov,100653,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +42,Local-gov,1125613,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,101352,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,32,United-States,>50K +54,Private,340476,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +20,Private,192711,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,273362,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Private,100451,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,38,United-States,>50K +35,Private,85399,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Local-gov,168191,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +27,Private,153475,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +61,Self-emp-not-inc,196773,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +41,Private,180138,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,48347,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,175071,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,15024,0,40,United-States,>50K +66,?,129476,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +25,Private,181772,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,284317,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +20,Private,237305,Some-college,10,Never-married,Machine-op-inspct,Other-relative,Black,Female,0,0,35,United-States,<=50K +67,Self-emp-inc,111321,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,16,United-States,<=50K +44,Private,278476,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +42,Private,39060,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +29,Local-gov,205262,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,40,Ecuador,<=50K +48,Private,198000,Some-college,10,Never-married,Craft-repair,Unmarried,White,Female,0,0,38,United-States,>50K +25,Private,397962,HS-grad,9,Never-married,Adm-clerical,Other-relative,Black,Female,0,0,40,United-States,<=50K +31,Private,178370,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,99,United-States,>50K +48,Private,121253,Bachelors,13,Married-spouse-absent,Sales,Unmarried,White,Female,0,2472,70,United-States,>50K +40,Private,56072,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,20,United-States,<=50K +26,Private,176756,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,60374,HS-grad,9,Married-civ-spouse,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +52,Private,165681,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +41,Self-emp-not-inc,287037,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Self-emp-not-inc,55568,Bachelors,13,Married-civ-spouse,Farming-fishing,Wife,White,Female,0,0,50,United-States,<=50K +48,Private,155509,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,16,Trinadad&Tobago,<=50K +19,Private,201178,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +27,Private,37250,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1651,40,United-States,<=50K +59,Private,314149,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K +19,Private,264593,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Private,159589,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +39,Private,454915,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,285131,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,150057,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,55390,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K +23,Private,314894,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,45,United-States,<=50K +59,?,184948,Assoc-voc,11,Divorced,?,Not-in-family,White,Male,0,0,48,United-States,<=50K +25,Local-gov,124483,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +37,Self-emp-inc,97986,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,68,United-States,<=50K +31,Private,210562,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +24,Private,233280,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,37,United-States,<=50K +53,Local-gov,164300,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,Dominican-Republic,<=50K +26,Private,227489,Some-college,10,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,?,<=50K +25,Private,263773,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +59,Private,96459,11th,7,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Federal-gov,116608,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Private,180007,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,305466,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,238917,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,El-Salvador,<=50K +25,Private,129784,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,367390,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +20,Private,235691,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +63,?,166425,Some-college,10,Widowed,?,Not-in-family,Black,Female,0,0,24,United-States,<=50K +43,Self-emp-not-inc,160369,10th,6,Divorced,Farming-fishing,Unmarried,White,Male,0,0,25,United-States,<=50K +39,Private,206298,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,183523,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +17,Private,217342,10th,6,Never-married,Sales,Own-child,White,Female,0,0,5,United-States,<=50K +40,State-gov,141858,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,72,United-States,<=50K +50,Private,213296,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +23,Self-emp-inc,201682,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +60,Private,178312,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7298,0,65,United-States,>50K +30,Private,269723,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,200593,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,32616,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +24,Private,259510,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,5013,0,30,United-States,<=50K +45,Self-emp-not-inc,271828,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +58,Self-emp-inc,78104,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +22,Private,113703,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,20,United-States,<=50K +41,Private,187802,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,440706,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +31,Private,191834,HS-grad,9,Divorced,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +33,Private,149184,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +49,Self-emp-inc,315998,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +30,Private,159589,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +38,Private,60313,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +58,Local-gov,32855,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +58,Private,142326,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +61,Self-emp-not-inc,201965,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,172333,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,40,United-States,>50K +32,Private,206541,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +33,Self-emp-not-inc,177828,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Private,303440,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +22,Private,89991,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,11,United-States,<=50K +35,Private,186009,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +59,Private,170988,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +45,Self-emp-inc,180239,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,7688,0,40,?,>50K +50,Self-emp-not-inc,213654,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +56,Self-emp-inc,32316,12th,8,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,150371,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,387871,10th,6,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +28,Private,314649,Some-college,10,Married-civ-spouse,Sales,Husband,Amer-Indian-Eskimo,Male,0,0,60,United-States,<=50K +42,Private,240255,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +60,Private,206339,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-inc,230168,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,91,United-States,<=50K +42,Private,171424,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,7298,0,45,United-States,>50K +36,Private,148581,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +52,Local-gov,89705,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,248406,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +26,Local-gov,72594,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K +31,Local-gov,137537,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,225065,5th-6th,3,Separated,Sales,Unmarried,White,Female,0,0,40,Mexico,<=50K +35,Private,217274,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +19,Private,69151,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +59,Self-emp-not-inc,81107,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,80,United-States,>50K +38,Private,205852,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +36,Private,201117,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,397307,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +39,Private,115422,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +64,Private,114994,Some-college,10,Separated,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,Local-gov,39815,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,151584,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,32,United-States,<=50K +19,Private,164938,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +36,Self-emp-not-inc,179896,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,White,Female,3137,0,40,United-States,<=50K +26,Private,253841,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +27,Private,177955,5th-6th,3,Never-married,Priv-house-serv,Other-relative,White,Female,2176,0,40,El-Salvador,<=50K +66,Private,113323,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,40,United-States,>50K +38,Private,320305,7th-8th,4,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,229287,Bachelors,13,Never-married,Exec-managerial,Other-relative,White,Female,0,0,25,United-States,<=50K +19,Private,100790,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,331419,Assoc-acdm,12,Never-married,Craft-repair,Not-in-family,White,Male,4787,0,50,United-States,>50K +22,Private,171419,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,40,South,<=50K +60,Private,202226,Some-college,10,Divorced,Craft-repair,Own-child,White,Male,0,0,44,United-States,>50K +54,Private,308087,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,1977,18,United-States,>50K +46,Private,220124,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,37,United-States,<=50K +33,State-gov,31703,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +51,Local-gov,153908,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,180599,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +18,?,252046,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +60,Self-emp-inc,160062,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,United-States,<=50K +39,Self-emp-not-inc,148443,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +23,Private,91733,Bachelors,13,Never-married,Tech-support,Own-child,White,Female,3325,0,40,United-States,<=50K +39,Private,176634,Assoc-acdm,12,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Local-gov,74949,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,165484,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +24,Private,44738,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +32,Private,130040,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,234537,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +39,Private,179016,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,335421,Masters,14,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,State-gov,312678,Masters,14,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,38,United-States,<=50K +22,?,313786,HS-grad,9,Divorced,?,Other-relative,Black,Female,0,0,40,United-States,<=50K +31,Private,198751,Bachelors,13,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Vietnam,<=50K +63,Private,131519,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,285060,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +28,State-gov,189765,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +23,Private,130905,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,146325,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,>50K +33,Private,102821,12th,8,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +22,?,137876,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,388998,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,13550,0,46,United-States,>50K +29,Private,82910,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,309122,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +60,Private,532845,1st-4th,2,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,>50K +46,Private,195833,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,?,<=50K +67,?,98882,Masters,14,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,?,133515,Some-college,10,Never-married,?,Own-child,White,Female,0,0,15,France,<=50K +23,Private,55215,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,55,United-States,<=50K +38,Self-emp-inc,176357,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +60,Private,185836,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +20,Self-emp-not-inc,54152,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Female,0,0,35,United-States,<=50K +37,Private,212437,Some-college,10,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,48,United-States,<=50K +37,Private,224566,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +58,Private,200040,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,41526,Bachelors,13,Never-married,Craft-repair,Own-child,White,Male,0,0,30,Canada,<=50K +27,Private,89598,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,60,United-States,<=50K +33,Private,323811,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,<=50K +43,State-gov,30824,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Federal-gov,181096,Some-college,10,Never-married,Tech-support,Own-child,Black,Male,0,0,20,United-States,<=50K +45,Private,217953,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Other,Male,0,0,40,Mexico,<=50K +44,Private,222635,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +52,?,121942,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,346871,HS-grad,9,Divorced,Prof-specialty,Not-in-family,White,Male,4787,0,46,United-States,>50K +31,Private,184889,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,20,United-States,<=50K +18,Federal-gov,101709,11th,7,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,15,Philippines,<=50K +20,Private,125010,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +32,Private,53135,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,498328,10th,6,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +46,Private,604380,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +28,Private,174327,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +27,Self-emp-not-inc,357283,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Federal-gov,280728,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,32,United-States,<=50K +69,Self-emp-not-inc,185039,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,9386,0,12,United-States,>50K +50,Self-emp-inc,251240,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +43,Private,143046,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Greece,<=50K +32,Private,210541,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +43,Private,172364,HS-grad,9,Separated,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +52,Self-emp-not-inc,138611,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,7688,0,55,United-States,>50K +50,Private,176227,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +35,Private,139647,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +20,?,174461,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +73,?,123345,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,65,United-States,<=50K +46,Private,164427,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,45,United-States,<=50K +58,Private,205235,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +46,Self-emp-inc,192779,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +40,Private,163434,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +25,Private,264055,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,336215,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +33,Federal-gov,78307,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +49,Federal-gov,233059,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,91433,10th,6,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +56,Local-gov,157525,Some-college,10,Divorced,Protective-serv,Not-in-family,Black,Male,0,0,48,United-States,<=50K +24,Private,86065,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Female,0,0,40,Mexico,<=50K +42,Private,22831,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,180181,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,212617,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,66,Ecuador,<=50K +22,?,125905,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +35,Private,336793,Bachelors,13,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +42,Private,314649,HS-grad,9,Married-spouse-absent,Handlers-cleaners,Other-relative,Asian-Pac-Islander,Male,0,0,40,?,<=50K +22,Private,283969,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,Mexico,<=50K +32,Self-emp-not-inc,35595,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,410240,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +66,Private,178120,5th-6th,3,Divorced,Priv-house-serv,Not-in-family,Black,Female,0,0,15,United-States,<=50K +26,State-gov,294400,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,38,United-States,<=50K +46,Private,65353,Some-college,10,Divorced,Transport-moving,Own-child,White,Male,3325,0,55,United-States,<=50K +55,Private,189719,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +24,Private,23438,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,178037,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +22,Private,109815,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,197860,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,271933,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +54,Private,141663,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,15,United-States,<=50K +19,?,199609,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +56,Private,92215,9th,5,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,>50K +47,Private,93449,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,60,Japan,<=50K +29,Private,235393,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +53,Private,151864,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,189277,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,?,204577,Bachelors,13,Married-civ-spouse,?,Husband,Black,Male,0,1902,60,United-States,>50K +42,Private,344572,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,>50K +21,Private,265356,Some-college,10,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Self-emp-inc,166880,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,70,United-States,<=50K +60,Private,188650,5th-6th,3,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,?,>50K +69,Private,213249,Assoc-voc,11,Widowed,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +31,Private,112627,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +48,Private,125120,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,<=50K +23,Private,60409,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,243190,Assoc-acdm,12,Separated,Craft-repair,Unmarried,Asian-Pac-Islander,Male,8614,0,40,United-States,>50K +47,Private,583755,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +36,Private,68089,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +39,Private,306646,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,186573,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,46,United-States,<=50K +27,Private,279580,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K +36,Private,437909,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,420691,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +33,Federal-gov,94193,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Private,154076,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +52,Private,145879,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +23,Private,208946,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,32,United-States,<=50K +33,Private,231826,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Mexico,<=50K +30,Private,178587,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +35,Private,213208,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,Black,Male,0,0,38,Jamaica,<=50K +35,?,139770,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,>50K +27,Private,153869,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,37,United-States,<=50K +24,Private,88676,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +44,Local-gov,151089,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,138621,Assoc-voc,11,Separated,Priv-house-serv,Not-in-family,Black,Female,0,0,20,United-States,<=50K +45,Private,30457,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +75,Self-emp-not-inc,213349,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +47,Private,192776,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +64,Private,192884,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +54,Private,103024,HS-grad,9,Divorced,Tech-support,Not-in-family,White,Male,0,0,42,United-States,>50K +41,Federal-gov,510072,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +33,Private,178615,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,249956,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +51,Private,177705,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +45,Self-emp-inc,121124,Prof-school,15,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +18,?,25837,11th,7,Never-married,?,Own-child,White,Male,0,0,72,United-States,<=50K +43,Private,557349,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Yugoslavia,<=50K +30,Private,89735,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,1504,40,United-States,<=50K +32,Private,222548,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,47314,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,?,>50K +61,Private,316359,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,200089,1st-4th,2,Married-civ-spouse,Other-service,Other-relative,White,Male,0,0,40,England,<=50K +56,Private,271795,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K +28,Private,31801,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,60,United-States,<=50K +23,Private,196508,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Female,0,0,40,United-States,<=50K +55,Private,189933,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,84,United-States,<=50K +27,?,501172,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,419,20,Mexico,<=50K +33,Private,361497,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,70,United-States,<=50K +22,Private,150175,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +43,Local-gov,155106,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +32,Self-emp-not-inc,62272,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +38,Private,189916,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,324011,9th,5,Never-married,Farming-fishing,Own-child,White,Male,0,0,20,United-States,<=50K +35,Private,105803,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +67,?,53588,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,107998,HS-grad,9,Divorced,Machine-op-inspct,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,340567,1st-4th,2,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,Mexico,<=50K +39,Private,167777,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +29,Private,228860,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,50,United-States,>50K +45,Self-emp-inc,40666,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +44,Private,277488,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,3103,0,40,United-States,>50K +42,Local-gov,195897,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,242984,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Local-gov,236497,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +18,?,312634,11th,7,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +64,Private,59829,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,25,France,<=50K +30,Private,24292,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +43,Local-gov,180407,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,42,Germany,<=50K +49,Self-emp-not-inc,121238,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +35,Private,281982,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,348739,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +49,Private,194189,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +19,Private,329130,11th,7,Separated,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,205939,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,2202,0,4,United-States,<=50K +31,Private,62165,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +26,Private,224361,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,34722,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +38,Private,175972,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +33,Self-emp-not-inc,359428,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +24,?,138504,HS-grad,9,Separated,?,Unmarried,Black,Female,0,0,37,United-States,<=50K +18,Private,268952,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +32,Private,257978,Assoc-voc,11,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,118799,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,State-gov,78356,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,Jamaica,<=50K +30,Self-emp-not-inc,609789,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,123157,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Male,0,0,38,United-States,<=50K +74,Private,84197,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,10,United-States,<=50K +36,Private,162312,HS-grad,9,Never-married,Craft-repair,Not-in-family,Asian-Pac-Islander,Male,0,0,70,South,<=50K +36,Private,138441,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,55,United-States,<=50K +29,Private,239753,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2057,20,United-States,<=50K +39,Private,262158,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +25,Self-emp-inc,133373,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,80,United-States,<=50K +21,Private,57916,HS-grad,9,Separated,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +39,State-gov,142897,Assoc-voc,11,Never-married,Exec-managerial,Unmarried,White,Female,0,0,50,United-States,<=50K +38,Private,161016,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +20,Private,227491,HS-grad,9,Never-married,Sales,Not-in-family,Asian-Pac-Islander,Female,0,0,25,United-States,<=50K +51,Private,306790,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,33831,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,188972,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,313546,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,220585,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +25,Local-gov,476599,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,163665,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +36,Private,306646,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +41,Private,206470,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Germany,<=50K +34,Private,169583,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +19,State-gov,127085,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,10,United-States,<=50K +18,Private,152044,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,3,United-States,<=50K +36,Private,111387,10th,6,Divorced,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,102318,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,40,United-States,>50K +29,Private,213692,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,45,United-States,<=50K +23,Private,163665,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,32,United-States,<=50K +35,Private,30529,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,290226,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,182136,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,73266,Some-college,10,Never-married,Transport-moving,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +19,State-gov,60412,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,15,United-States,<=50K +70,Private,187891,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,194304,Some-college,10,Divorced,Transport-moving,Not-in-family,Black,Male,0,0,55,United-States,<=50K +35,Private,160910,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +25,Private,148300,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +39,Private,165743,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +50,Private,123174,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,37,?,>50K +43,Private,184018,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +37,Federal-gov,188069,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Philippines,>50K +51,Private,138852,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,7298,0,40,El-Salvador,>50K +29,?,78529,10th,6,Separated,?,Unmarried,White,Female,0,0,12,United-States,<=50K +20,Private,164441,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +21,Private,199419,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,181342,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,Black,Female,0,0,40,United-States,<=50K +44,Private,173382,Assoc-acdm,12,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +17,Private,184924,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,15,United-States,<=50K +25,Private,215384,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,State-gov,424094,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Federal-gov,212120,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +42,Private,185764,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +46,Local-gov,133969,Masters,14,Divorced,Prof-specialty,Not-in-family,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +22,Private,32616,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +49,Private,149210,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +21,Private,161210,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +53,Private,285621,Masters,14,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +43,Private,282069,Some-college,10,Divorced,Craft-repair,Unmarried,White,Male,0,0,42,United-States,<=50K +22,Private,97508,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +33,Private,356823,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,10520,0,45,United-States,>50K +28,Private,171133,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +25,Private,231638,Some-college,10,Never-married,Tech-support,Unmarried,White,Female,0,0,24,United-States,<=50K +40,Private,191342,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,China,>50K +50,Private,226497,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +48,Self-emp-not-inc,373606,Some-college,10,Divorced,Sales,Unmarried,White,Male,0,0,65,United-States,>50K +30,Private,39150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,288840,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,Black,Female,0,0,38,United-States,<=50K +34,Private,293703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +42,Private,79586,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +48,Self-emp-not-inc,82098,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,United-States,<=50K +38,Private,245372,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +29,Private,78261,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,355996,10th,6,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +64,Private,218490,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,27828,0,55,United-States,>50K +44,Private,110908,Assoc-voc,11,Married-civ-spouse,Transport-moving,Wife,White,Female,0,0,25,United-States,<=50K +42,Federal-gov,34218,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,50,United-States,>50K +49,Private,248895,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +25,Private,363707,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,272411,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,128033,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +20,Private,177287,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,38,United-States,<=50K +44,Private,197344,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +45,Private,285858,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +27,Self-emp-inc,193868,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,Private,232082,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,27408,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +45,Private,247043,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,<=50K +27,Local-gov,162404,HS-grad,9,Never-married,Protective-serv,Not-in-family,Black,Male,2174,0,40,United-States,<=50K +64,Private,236341,5th-6th,3,Widowed,Other-service,Not-in-family,Black,Female,0,0,16,United-States,<=50K +66,Local-gov,179285,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,3432,0,20,United-States,<=50K +34,Private,30433,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +45,Self-emp-not-inc,102771,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,221172,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,108116,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,United-States,>50K +26,Private,375499,10th,6,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,20,United-States,<=50K +27,Private,178688,Assoc-voc,11,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,276709,Some-college,10,Never-married,Sales,Other-relative,White,Female,0,0,40,United-States,<=50K +23,?,238087,Some-college,10,Never-married,?,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,84790,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,State-gov,37482,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +46,State-gov,178686,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +35,?,153926,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K +55,Private,110748,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +28,Private,116613,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,24,United-States,<=50K +21,Private,108687,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +36,Private,365739,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,195284,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,>50K +38,Private,125933,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,?,>50K +37,Private,140854,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +81,Self-emp-not-inc,193237,1st-4th,2,Widowed,Sales,Other-relative,White,Male,0,0,45,Mexico,<=50K +41,Private,46870,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,351324,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +30,Self-emp-not-inc,189265,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,236564,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Federal-gov,557644,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,374454,HS-grad,9,Divorced,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +65,?,160654,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +18,Private,122775,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +26,Private,214413,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Male,6497,0,48,United-States,<=50K +30,Private,329425,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K +61,Private,178312,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K +21,Private,241951,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,130143,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +41,Self-emp-inc,114580,Prof-school,15,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,55,United-States,>50K +43,Self-emp-inc,130126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +60,Private,399387,7th-8th,4,Separated,Priv-house-serv,Unmarried,Black,Female,0,0,15,United-States,<=50K +47,Private,163814,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,69586,Some-college,10,Divorced,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +32,Private,237903,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +25,?,219897,Masters,14,Never-married,?,Not-in-family,White,Female,0,0,35,Canada,<=50K +31,Private,243165,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +33,State-gov,173806,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Self-emp-not-inc,65308,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +44,Private,408531,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,>50K +44,Private,235786,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,45,United-States,>50K +37,Private,314963,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,81206,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +51,Federal-gov,293196,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +51,Private,95329,Masters,14,Divorced,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Local-gov,45474,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +25,Private,372728,Bachelors,13,Never-married,Other-service,Not-in-family,Black,Female,0,0,24,Jamaica,<=50K +29,Federal-gov,116394,Bachelors,13,Married-AF-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +36,Self-emp-not-inc,34180,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,70,United-States,>50K +55,Private,327589,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,706180,Bachelors,13,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +31,Private,32550,10th,6,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,173858,Prof-school,15,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +51,Self-emp-inc,230095,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +30,Private,139012,Assoc-voc,11,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Male,2463,0,40,Vietnam,<=50K +62,Private,174711,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +37,Private,171150,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,99999,0,60,United-States,>50K +30,Self-emp-inc,77689,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +27,Private,193898,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K +32,Private,195000,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,45,United-States,>50K +23,Private,303121,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +35,Self-emp-not-inc,188540,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,158656,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,White,Female,0,0,36,United-States,<=50K +45,Self-emp-inc,204196,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K +27,Private,183802,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,148995,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,190903,11th,7,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +37,State-gov,173780,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,30,United-States,<=50K +42,Private,251239,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,Puerto-Rico,<=50K +45,Private,112761,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +33,State-gov,425785,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,197731,Assoc-voc,11,Married-spouse-absent,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,<=50K +24,Private,119156,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,50,United-States,<=50K +56,Private,133819,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,185556,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,12,United-States,>50K +50,Private,109277,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +48,Self-emp-inc,36020,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +45,Private,45857,11th,7,Married-civ-spouse,Other-service,Wife,White,Female,0,0,36,United-States,<=50K +55,Private,184882,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,50,United-States,>50K +41,State-gov,342834,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Private,234743,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,24,United-States,<=50K +29,Federal-gov,106179,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,1408,40,United-States,<=50K +37,Private,177895,Some-college,10,Married-civ-spouse,Tech-support,Wife,White,Female,5013,0,40,United-States,<=50K +63,?,257876,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,86067,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +64,Private,66634,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Male,27828,0,50,United-States,>50K +35,Private,138441,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K +22,Private,279802,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +58,Private,407138,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2936,0,50,Mexico,<=50K +58,Private,31732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +24,Private,204172,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,48,United-States,<=50K +34,Private,100593,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,6,United-States,<=50K +33,Local-gov,162623,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Self-emp-not-inc,80933,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,<=50K +17,Private,47425,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +27,Private,107812,Bachelors,13,Married-civ-spouse,Sales,Other-relative,White,Male,0,0,40,United-States,>50K +20,Self-emp-inc,104443,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +52,Private,117496,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,1755,40,United-States,>50K +30,Private,209691,7th-8th,4,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,Private,314525,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,190772,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +64,Local-gov,199298,5th-6th,3,Divorced,Other-service,Not-in-family,White,Female,0,0,45,?,<=50K +49,Private,187370,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,50,United-States,>50K +38,Private,216129,Bachelors,13,Divorced,Other-service,Not-in-family,Black,Female,0,0,60,?,<=50K +46,Federal-gov,219293,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,80,United-States,>50K +17,Private,136363,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +45,Private,233799,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +27,Private,207611,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,178344,Assoc-voc,11,Divorced,Sales,Unmarried,White,Female,0,0,30,United-States,<=50K +26,Self-emp-inc,187652,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,78,United-States,>50K +23,Private,188545,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Female,0,1974,20,United-States,<=50K +44,Local-gov,58124,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Male,0,0,45,United-States,<=50K +36,Private,321733,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,1741,40,United-States,<=50K +35,Private,206253,9th,5,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,?,152140,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +56,Private,76281,Bachelors,13,Married-spouse-absent,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Private,606752,Masters,14,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +32,Private,29933,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,>50K +29,Private,114158,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,3325,0,10,United-States,<=50K +55,?,227203,Assoc-acdm,12,Married-spouse-absent,?,Not-in-family,White,Female,0,0,5,United-States,<=50K +35,Self-emp-inc,65624,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +37,Private,34146,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,68,United-States,<=50K +36,Self-emp-not-inc,34378,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,3908,0,75,United-States,<=50K +33,Private,141490,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,45,United-States,<=50K +34,Private,199227,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Private,224954,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,231357,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Self-emp-inc,113530,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +38,Private,22245,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,36383,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,>50K +35,Private,320305,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,32,United-States,<=50K +67,?,201657,Bachelors,13,Divorced,?,Not-in-family,White,Female,0,0,60,United-States,<=50K +34,Private,48935,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +46,Private,101455,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +19,Local-gov,243960,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,16,United-States,<=50K +26,Private,90915,Assoc-acdm,12,Never-married,Other-service,Own-child,Black,Female,0,0,15,United-States,<=50K +28,Private,315287,Some-college,10,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Private,106255,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Local-gov,215895,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,Italy,>50K +33,Self-emp-not-inc,170979,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +44,Private,210525,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +30,Private,195488,HS-grad,9,Never-married,Priv-house-serv,Own-child,White,Female,0,0,40,Guatemala,<=50K +18,Private,152246,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,16,United-States,<=50K +60,Self-emp-not-inc,187794,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,60,United-States,>50K +44,Private,110396,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,56,United-States,>50K +81,?,89391,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,24,United-States,>50K +43,State-gov,254817,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,41777,12th,8,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +58,Self-emp-not-inc,234841,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,72,United-States,<=50K +32,Private,79586,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,<=50K +40,Private,115331,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +32,Private,63564,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +21,Private,132053,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,1721,35,United-States,<=50K +44,Private,370502,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,25,Mexico,<=50K +33,Private,59083,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1902,45,United-States,>50K +25,Private,69413,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +42,Private,32981,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,176683,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +62,?,144116,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +31,Self-emp-not-inc,209213,HS-grad,9,Never-married,Sales,Not-in-family,Black,Male,0,0,40,?,<=50K +33,State-gov,150657,Bachelors,13,Never-married,Prof-specialty,Other-relative,Black,Female,0,0,40,United-States,<=50K +50,Self-emp-not-inc,124793,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +50,Private,22211,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,50,United-States,>50K +46,Private,270565,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,38251,Assoc-acdm,12,Never-married,Other-service,Unmarried,White,Female,0,0,35,United-States,<=50K +66,State-gov,162945,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Black,Male,20051,0,55,United-States,>50K +52,Private,195638,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +57,Self-emp-not-inc,118806,1st-4th,2,Widowed,Craft-repair,Other-relative,White,Female,0,1602,45,Columbia,<=50K +41,Self-emp-not-inc,44006,Assoc-voc,11,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,119679,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1579,42,United-States,<=50K +19,Private,333953,12th,8,Never-married,Other-service,Other-relative,White,Female,0,0,30,United-States,<=50K +45,Local-gov,172111,Bachelors,13,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +51,Self-emp-not-inc,32372,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,99,United-States,<=50K +69,?,117525,Assoc-acdm,12,Divorced,?,Unmarried,White,Female,0,0,1,United-States,<=50K +45,Self-emp-not-inc,123681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +48,Private,317360,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +60,Federal-gov,119832,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +42,Private,135056,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +19,State-gov,135162,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +39,Self-emp-not-inc,194004,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,70,United-States,<=50K +46,Private,177633,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +58,Local-gov,212864,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,3908,0,40,United-States,<=50K +36,Private,30509,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +21,Private,118712,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,35,United-States,<=50K +41,Private,199018,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,151799,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +29,Private,181280,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +52,Private,232024,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +33,Private,226267,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,Mexico,<=50K +38,Private,240467,Masters,14,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,35,United-States,<=50K +42,Private,154374,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +24,State-gov,231473,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,30,United-States,<=50K +59,Private,158813,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Private,346478,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,2415,45,United-States,>50K +54,Private,215990,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,7688,0,40,United-States,>50K +39,Private,177154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +42,Self-emp-not-inc,238188,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,96,United-States,<=50K +54,Self-emp-not-inc,156800,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,130620,Assoc-acdm,12,Married-spouse-absent,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,?,<=50K +50,Private,175339,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +42,Private,37937,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,45,United-States,<=50K +48,Federal-gov,166634,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,7688,0,40,United-States,>50K +31,Private,221167,Bachelors,13,Widowed,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +56,Private,179641,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +28,Local-gov,213195,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +34,Private,157747,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +28,Private,227840,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Private,169104,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,?,>50K +44,Private,186916,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,60,United-States,>50K +34,Private,37646,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,65,United-States,<=50K +26,Private,157028,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +37,Private,188774,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,2824,40,United-States,>50K +64,?,146272,Some-college,10,Married-civ-spouse,?,Husband,White,Male,3411,0,15,United-States,<=50K +25,Private,182656,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Self-emp-not-inc,200471,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,358465,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,78602,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,20,United-States,<=50K +44,Private,213416,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +46,Local-gov,345911,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +32,?,119522,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +42,Federal-gov,126320,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +33,Self-emp-not-inc,235271,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +61,Private,141745,HS-grad,9,Divorced,Other-service,Not-in-family,Black,Female,0,0,40,United-States,<=50K +47,Private,359461,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,109351,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,8614,0,45,United-States,>50K +62,Private,148113,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,75478,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,100375,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,60,United-States,>50K +19,?,28455,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,231413,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +39,Local-gov,119421,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,42,United-States,<=50K +17,Private,206998,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +58,Private,183810,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,187053,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +34,Local-gov,155781,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,4064,0,50,United-States,<=50K +55,?,193895,7th-8th,4,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,48520,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,Self-emp-inc,170125,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,107584,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,196742,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +52,?,244214,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +48,Local-gov,127921,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,42617,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,30,United-States,<=50K +47,Local-gov,191389,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +38,Private,187983,Prof-school,15,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,<=50K +18,Private,215110,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,United-States,<=50K +25,Private,230292,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,90159,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,32,United-States,>50K +40,Private,175398,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +56,Self-emp-not-inc,53366,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +50,Private,46155,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +55,Private,61708,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,6418,0,50,United-States,>50K +32,Local-gov,112650,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,173682,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,43,United-States,>50K +28,Private,160981,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,52,United-States,<=50K +53,Private,72257,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +26,?,182332,Assoc-voc,11,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,<=50K +60,Local-gov,48788,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,5455,0,55,United-States,<=50K +21,Private,417668,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +29,Private,107458,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +73,Private,147551,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2174,50,United-States,>50K +43,Self-emp-inc,33729,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +45,Private,101977,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +35,?,374716,9th,5,Married-civ-spouse,?,Wife,White,Female,0,0,35,United-States,<=50K +36,Private,214378,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,>50K +25,Private,111243,HS-grad,9,Never-married,Sales,Other-relative,White,Female,0,0,50,United-States,<=50K +38,Private,252947,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,40,United-States,<=50K +30,Local-gov,118500,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,195612,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,40,United-States,>50K +41,Local-gov,174575,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,190391,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,166715,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,<=50K +41,Self-emp-not-inc,142725,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +37,Private,73471,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,47,United-States,>50K +51,Private,241745,5th-6th,3,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,40,Mexico,<=50K +35,Private,316141,Some-college,10,Divorced,Prof-specialty,Unmarried,White,Female,7443,0,40,United-States,<=50K +61,Local-gov,248595,1st-4th,2,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +52,Private,90189,7th-8th,4,Divorced,Priv-house-serv,Own-child,Black,Female,0,0,16,United-States,<=50K +40,Private,205195,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +20,Private,148940,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +52,Local-gov,298035,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,154728,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +49,Private,166809,Bachelors,13,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +36,State-gov,97136,Bachelors,13,Never-married,Prof-specialty,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,347623,Masters,14,Never-married,Exec-managerial,Unmarried,White,Male,0,0,40,United-States,<=50K +40,Private,117917,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,50,United-States,<=50K +45,Private,266860,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,71864,Some-college,10,Never-married,Craft-repair,Own-child,White,Female,0,0,35,United-States,<=50K +47,Private,158451,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,2,United-States,>50K +24,Private,229826,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,30,United-States,<=50K +19,Private,121788,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,151365,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +40,Private,360884,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,50,United-States,>50K +54,Private,36480,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,15024,0,50,United-States,>50K +43,Self-emp-not-inc,116666,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Other,Male,0,0,35,United-States,>50K +63,Local-gov,214143,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K +18,Private,45316,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,311974,1st-4th,2,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +49,Self-emp-not-inc,48495,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,115945,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +49,Local-gov,170846,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,142922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +71,?,181301,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,286675,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,233168,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,46,United-States,>50K +30,Private,177304,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +46,Private,336984,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,17,United-States,<=50K +32,Self-emp-not-inc,379412,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,180778,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,75,United-States,<=50K +25,Private,141876,Masters,14,Never-married,Prof-specialty,Unmarried,White,Male,0,0,45,?,<=50K +22,Private,228306,Some-college,10,Married-AF-spouse,Other-service,Wife,White,Female,0,0,40,United-States,>50K +32,Private,329993,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,247469,Doctorate,16,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +51,Private,673764,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,27828,0,40,United-States,>50K +20,Private,155775,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,81223,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,48,United-States,<=50K +40,Private,236021,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,State-gov,103371,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,199480,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +53,Private,152657,10th,6,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +42,Federal-gov,460214,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +38,Private,91039,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +41,Private,197372,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +64,?,267198,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,16,United-States,<=50K +30,State-gov,111883,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,66917,11th,7,Married-civ-spouse,Farming-fishing,Own-child,White,Male,0,0,40,Mexico,<=50K +19,Private,292583,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +20,Private,391679,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,60,United-States,<=50K +35,Private,475324,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +33,Self-emp-not-inc,218164,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,101534,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,15,United-States,>50K +38,Federal-gov,65706,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,<=50K +50,Self-emp-not-inc,156606,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,<=50K +23,Private,200967,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +30,Local-gov,164493,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,10,United-States,<=50K +33,Private,547886,Bachelors,13,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,232145,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,96421,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,24,Outlying-US(Guam-USVI-etc),<=50K +33,Private,554206,Some-college,10,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,Philippines,<=50K +50,Local-gov,234143,Masters,14,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,45,United-States,>50K +23,Private,380544,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,103886,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,State-gov,54709,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,46,United-States,<=50K +26,Private,276548,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,20,United-States,<=50K +55,Local-gov,176046,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,2267,40,United-States,<=50K +37,Private,114605,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,323713,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,261382,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,223548,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,Mexico,<=50K +47,Self-emp-not-inc,355978,Doctorate,16,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2002,45,United-States,<=50K +44,Private,107218,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +28,Self-emp-not-inc,31717,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,328947,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Private,148431,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,121602,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,244087,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,50,United-States,>50K +31,Private,83425,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +29,Private,157308,11th,7,Married-civ-spouse,Handlers-cleaners,Wife,Asian-Pac-Islander,Female,2829,0,14,Philippines,<=50K +23,Private,57898,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,State-gov,175304,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +66,Self-emp-inc,102663,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,99175,11th,7,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,208358,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +69,Private,361561,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,3,United-States,<=50K +23,Private,215115,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Federal-gov,207066,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +37,Federal-gov,160910,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,64879,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,430035,9th,5,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,54,Mexico,<=50K +37,State-gov,74163,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +37,Self-emp-inc,98389,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +23,Private,386019,9th,5,Never-married,Farming-fishing,Unmarried,White,Male,0,0,70,United-States,<=50K +17,Private,112795,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +48,Private,332465,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,United-States,<=50K +17,Private,38611,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,23,United-States,<=50K +55,Private,368797,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,United-States,>50K +35,Private,24106,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +68,?,108683,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,12,United-States,>50K +35,Self-emp-not-inc,241998,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,312446,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +43,Private,69333,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +36,Private,172538,Masters,14,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,275884,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +45,Private,43479,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,<=50K +34,Private,199864,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,2057,40,United-States,<=50K +56,Private,235197,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +36,Private,170376,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +22,Private,325179,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,50,United-States,<=50K +19,?,351195,9th,5,Never-married,?,Other-relative,White,Male,0,1719,35,El-Salvador,<=50K +33,Private,141841,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,36,United-States,<=50K +48,Private,207817,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,32,Columbia,<=50K +20,Private,137974,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +64,Self-emp-inc,161325,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,1887,50,United-States,>50K +47,Private,293623,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Dominican-Republic,<=50K +20,Private,37783,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +44,Federal-gov,308027,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,149218,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,77,United-States,<=50K +45,Local-gov,374450,HS-grad,9,Married-civ-spouse,Transport-moving,Wife,White,Female,5178,0,40,United-States,>50K +45,Local-gov,61885,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,37,United-States,>50K +27,State-gov,291196,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +41,Private,45366,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,United-States,>50K +20,Private,203027,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,55,United-States,<=50K +54,Self-emp-inc,223752,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,?,>50K +17,Private,132680,10th,6,Never-married,Other-service,Own-child,White,Female,0,1602,10,United-States,<=50K +50,Private,155574,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,State-gov,193565,Masters,14,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,123598,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +44,Private,456236,Masters,14,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +49,Private,163229,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +28,Local-gov,419740,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K +43,Local-gov,118853,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,4386,0,99,United-States,>50K +33,Private,31449,Assoc-acdm,12,Divorced,Machine-op-inspct,Unmarried,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +35,Private,204163,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,55,United-States,<=50K +17,Private,177629,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +25,Private,186370,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,188307,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,55481,Masters,14,Never-married,Tech-support,Unmarried,White,Male,0,0,45,Nicaragua,<=50K +48,Private,119471,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,56,Philippines,>50K +61,Local-gov,167347,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +41,Private,184378,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,348960,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,50,United-States,<=50K +24,Local-gov,69640,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,297457,HS-grad,9,Never-married,Adm-clerical,Own-child,Black,Male,0,0,40,United-States,<=50K +18,Private,279593,11th,7,Never-married,Prof-specialty,Own-child,White,Female,0,0,2,United-States,<=50K +20,Private,211968,Some-college,10,Never-married,Prof-specialty,Own-child,White,Female,0,0,15,United-States,<=50K +18,Private,194561,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +23,Private,140414,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,State-gov,24763,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,45,United-States,>50K +38,State-gov,462832,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Black,Female,0,0,40,Trinadad&Tobago,<=50K +36,Private,48972,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Self-emp-not-inc,35032,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +47,Private,228583,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,?,<=50K +51,Private,392668,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,84,United-States,>50K +35,Private,108140,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,State-gov,112497,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,<=50K +47,Federal-gov,142581,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,>50K +26,Private,147982,11th,7,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,State-gov,440129,Some-college,10,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,>50K +46,Private,200734,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,Trinadad&Tobago,<=50K +49,Private,31807,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,166153,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +45,Self-emp-inc,212954,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +46,Private,52291,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +70,Self-emp-not-inc,303588,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,20,United-States,<=50K +19,Private,96176,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +46,Private,184632,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +20,Private,137618,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,35,United-States,<=50K +17,Private,160029,11th,7,Never-married,Other-service,Other-relative,White,Female,0,0,22,United-States,<=50K +43,Private,178780,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,49,United-States,>50K +19,Private,39756,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +37,Private,35309,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,117253,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Local-gov,303212,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +24,Private,214542,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,60,Canada,<=50K +31,Private,342019,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +59,Private,126668,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,5178,0,50,United-States,>50K +27,Private,401508,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Private,25005,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,99,United-States,>50K +30,Self-emp-not-inc,85708,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,115677,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,White,Male,0,0,32,United-States,<=50K +25,Private,144259,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,50,United-States,<=50K +22,Private,197583,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,20,United-States,<=50K +21,State-gov,142766,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +67,?,132626,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,6,United-States,<=50K +35,Self-emp-inc,185621,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,60,United-States,>50K +54,Local-gov,29887,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,56,United-States,<=50K +36,Private,117381,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,211482,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +32,Federal-gov,90653,HS-grad,9,Never-married,Exec-managerial,Unmarried,White,Female,0,1380,40,United-States,<=50K +55,Private,209535,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +56,Federal-gov,187873,Masters,14,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +19,Private,174732,Some-college,10,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +36,Private,297847,HS-grad,9,Never-married,Other-service,Not-in-family,Black,Female,0,2001,40,United-States,<=50K +58,Private,110213,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,>50K +35,Private,162601,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,108438,10th,6,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +40,Self-emp-inc,132222,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,174394,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +71,Self-emp-not-inc,322789,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,35,United-States,<=50K +51,Federal-gov,72436,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,57,United-States,>50K +27,?,60726,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +20,Private,190273,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +33,?,393376,11th,7,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,140571,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,584790,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +23,Private,197666,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,24,Greece,<=50K +36,Private,245090,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3137,0,50,El-Salvador,<=50K +42,Private,192569,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,39,United-States,>50K +31,Local-gov,158291,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Male,8614,0,40,United-States,>50K +19,?,113915,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,10,United-States,<=50K +38,Local-gov,287658,Masters,14,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,Jamaica,<=50K +22,Private,192455,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +36,Private,317040,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,54,United-States,<=50K +36,Private,218689,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,1977,50,United-States,>50K +17,Private,116626,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,1719,18,United-States,<=50K +30,Federal-gov,48458,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +35,Self-emp-not-inc,241469,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,2635,0,30,United-States,<=50K +32,Private,167990,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,14084,0,40,United-States,>50K +42,Private,261929,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,40,United-States,>50K +54,Private,425804,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +36,Private,33394,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1887,35,United-States,>50K +58,Private,72812,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,89040,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +62,Local-gov,164518,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +51,Private,182740,HS-grad,9,Divorced,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +52,Private,361875,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +25,Private,197130,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +26,Private,340335,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,293984,10th,6,Married-civ-spouse,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +59,State-gov,261584,Bachelors,13,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,Outlying-US(Guam-USVI-etc),<=50K +21,Private,170302,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,50,United-States,<=50K +45,Private,481987,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,18,United-States,>50K +26,Private,88449,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,<=50K +68,Self-emp-not-inc,261897,10th,6,Widowed,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K +60,Private,250552,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +65,Private,88513,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,18,United-States,<=50K +41,Private,168293,Masters,14,Divorced,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +34,Private,283921,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +28,Private,407043,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,63745,Assoc-voc,11,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +57,Private,49893,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +37,Private,241962,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,338416,10th,6,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,60,United-States,<=50K +21,?,212888,11th,7,Married-civ-spouse,?,Wife,White,Female,0,0,56,United-States,<=50K +57,Federal-gov,310320,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,48,United-States,>50K +55,Private,359972,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +51,Private,64643,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,?,<=50K +56,Private,125000,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +32,Private,286675,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +18,Private,165532,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,15,United-States,<=50K +48,Private,349986,Assoc-voc,11,Married-spouse-absent,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,213140,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +41,Federal-gov,219155,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,India,>50K +33,Private,183612,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,20,United-States,<=50K +33,Private,391114,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,219632,5th-6th,3,Married-spouse-absent,Machine-op-inspct,Other-relative,White,Male,0,0,40,Mexico,<=50K +46,Self-emp-inc,320124,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,Amer-Indian-Eskimo,Female,15024,0,40,United-States,>50K +40,Private,799281,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,38,United-States,<=50K +42,Private,657397,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +31,State-gov,373432,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,55,United-States,>50K +51,Private,168660,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,191149,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,57,United-States,<=50K +37,Private,356824,HS-grad,9,Separated,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +25,Private,191782,11th,7,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,40,United-States,<=50K +63,Self-emp-not-inc,29859,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,7688,0,60,United-States,>50K +52,Private,204226,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Local-gov,246862,Some-college,10,Divorced,Tech-support,Not-in-family,White,Female,3325,0,40,United-States,<=50K +28,Private,496526,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +30,Private,426431,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,10520,0,40,United-States,>50K +34,Private,84154,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +37,Federal-gov,45937,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +31,Private,130021,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,63021,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,35,United-States,<=50K +25,Private,367306,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +38,Private,65624,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Self-emp-not-inc,144928,HS-grad,9,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +22,Private,117747,Some-college,10,Never-married,Craft-repair,Other-relative,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +18,Private,266681,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,152035,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,190023,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +43,Private,233130,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,20,United-States,<=50K +21,Private,149637,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +62,Federal-gov,224277,Some-college,10,Widowed,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,121559,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Self-emp-not-inc,230951,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,345285,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +65,Self-emp-not-inc,28367,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +41,Private,320744,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,3325,0,50,United-States,<=50K +31,Private,243773,9th,5,Never-married,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +56,Private,151474,9th,5,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Private,135465,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +22,Private,210781,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +36,Local-gov,359001,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,48,United-States,<=50K +48,Private,119471,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,India,>50K +30,Private,226396,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +35,Private,283122,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,<=50K +37,Self-emp-not-inc,326400,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +32,?,169186,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,5,United-States,<=50K +56,Private,158752,Masters,14,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,<=50K +29,?,208406,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,35,United-States,<=50K +41,Private,96741,Assoc-acdm,12,Divorced,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +38,State-gov,255191,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,177733,9th,5,Separated,Machine-op-inspct,Unmarried,White,Female,0,0,35,Dominican-Republic,<=50K +54,State-gov,137815,12th,8,Never-married,Other-service,Own-child,White,Male,4101,0,40,United-States,<=50K +36,?,187203,Assoc-voc,11,Divorced,?,Own-child,White,Male,0,0,50,United-States,<=50K +42,Private,168515,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,122672,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +21,Private,195199,HS-grad,9,Never-married,Prof-specialty,Own-child,White,Female,0,0,30,United-States,<=50K +69,Local-gov,179813,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,10,United-States,<=50K +32,Private,178623,Assoc-acdm,12,Never-married,Sales,Not-in-family,Black,Female,0,0,46,Trinadad&Tobago,<=50K +50,Private,41890,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,373050,12th,8,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +45,Private,80430,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +31,Private,198613,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,35,United-States,<=50K +24,Private,330571,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,<=50K +28,Private,209205,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,>50K +21,Private,132243,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Female,0,0,5,United-States,<=50K +43,Self-emp-not-inc,237670,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,25,United-States,<=50K +22,Private,193586,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +62,Self-emp-not-inc,197353,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1740,40,United-States,<=50K +21,Self-emp-not-inc,74538,Some-college,10,Never-married,Tech-support,Not-in-family,White,Male,0,0,25,United-States,<=50K +37,Private,89718,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,93169,Some-college,10,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +74,Self-emp-not-inc,292915,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1825,12,United-States,>50K +43,Private,328570,Some-college,10,Divorced,Machine-op-inspct,Unmarried,Black,Female,0,0,38,United-States,<=50K +25,Private,312157,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,193459,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,236804,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,126223,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +51,State-gov,172281,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,35,United-States,>50K +64,Private,153894,Bachelors,13,Never-married,Sales,Unmarried,White,Female,0,0,40,Peru,<=50K +35,Private,331395,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +69,Self-emp-not-inc,92472,10th,6,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,3273,0,45,United-States,<=50K +32,Private,318647,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +20,Private,332931,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,United-States,<=50K +66,Self-emp-inc,76212,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +31,Private,301168,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Italy,<=50K +22,Private,440969,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,24,United-States,<=50K +32,Private,154950,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,218343,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +21,Private,239577,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,247936,HS-grad,9,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,2,Taiwan,<=50K +62,Local-gov,203525,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,2829,0,40,United-States,<=50K +24,Private,182342,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,25649,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,7298,0,50,United-States,>50K +27,Private,243569,11th,7,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,3942,0,40,United-States,<=50K +38,Private,187870,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,90,United-States,>50K +20,?,289116,Some-college,10,Never-married,?,Own-child,White,Female,0,0,5,United-States,<=50K +30,Private,487330,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +17,?,34019,10th,6,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +17,?,250541,11th,7,Never-married,?,Own-child,Black,Male,0,0,8,United-States,<=50K +21,Self-emp-not-inc,318987,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +56,Self-emp-not-inc,140558,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +59,Local-gov,303455,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,4787,0,60,United-States,>50K +37,Self-emp-not-inc,76855,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +52,Private,308764,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +50,Federal-gov,339905,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +55,Private,227856,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +55,Private,156430,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +45,?,98265,HS-grad,9,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +72,Private,116640,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3471,0,20,United-States,<=50K +39,Private,187167,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,184078,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,108140,Bachelors,13,Divorced,Tech-support,Other-relative,White,Male,0,0,40,United-States,<=50K +44,Private,150533,Some-college,10,Separated,Craft-repair,Not-in-family,White,Male,0,1876,55,United-States,<=50K +51,Self-emp-not-inc,313702,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,39803,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,1719,36,United-States,<=50K +25,Private,252752,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Female,0,0,45,United-States,<=50K +52,Private,111700,Some-college,10,Divorced,Sales,Other-relative,White,Female,0,0,20,United-States,>50K +45,Private,361842,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +17,Private,231438,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +20,Private,178469,HS-grad,9,Never-married,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,15,?,<=50K +64,Local-gov,116620,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,25,United-States,<=50K +34,Private,112212,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1485,40,United-States,<=50K +74,Self-emp-not-inc,109101,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,4,United-States,<=50K +58,Federal-gov,72998,11th,7,Divorced,Craft-repair,Not-in-family,Black,Female,14084,0,40,United-States,>50K +44,Private,147265,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +23,State-gov,314645,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +23,Private,444554,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,50,United-States,<=50K +27,Private,129629,Assoc-voc,11,Never-married,Tech-support,Other-relative,White,Female,0,0,36,United-States,<=50K +34,Private,106761,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +18,Private,189924,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,24,United-States,<=50K +33,Private,311194,11th,7,Never-married,Sales,Unmarried,Black,Female,0,0,17,United-States,<=50K +50,Self-emp-not-inc,89737,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +47,Private,49298,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Self-emp-inc,190333,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,99999,0,55,United-States,>50K +18,Private,251923,11th,7,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +49,Local-gov,298445,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,60,United-States,>50K +34,Private,180284,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,50,United-States,<=50K +51,Private,154342,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +56,State-gov,68658,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +64,Private,203783,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,8,United-States,<=50K +23,Private,250037,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Female,0,0,50,United-States,<=50K +33,Private,158688,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,214781,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +60,Federal-gov,404023,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,10520,0,40,United-States,>50K +57,State-gov,109015,12th,8,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,194630,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +23,Private,239375,Bachelors,13,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,35576,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,2415,50,United-States,>50K +39,Federal-gov,363630,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,Black,Male,7688,0,52,United-States,>50K +32,Self-emp-not-inc,182926,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,117222,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,15,United-States,<=50K +30,Private,110643,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,52,United-States,<=50K +56,Self-emp-not-inc,170217,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,45,United-States,<=50K +34,Private,193285,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,161075,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +59,Private,322691,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,229431,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,11,United-States,<=50K +60,?,106282,9th,5,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,105694,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,42,United-States,<=50K +24,Private,199883,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +41,State-gov,100800,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +23,Private,256278,7th-8th,4,Married-civ-spouse,Handlers-cleaners,Other-relative,Other,Female,0,0,30,El-Salvador,<=50K +32,Private,156464,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,50,United-States,>50K +51,Self-emp-inc,129525,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,?,<=50K +18,Private,285013,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,10,United-States,<=50K +28,Private,248911,Some-college,10,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,?,<=50K +33,?,369386,Some-college,10,Married-civ-spouse,?,Wife,White,Female,5178,0,40,United-States,>50K +38,Private,219902,HS-grad,9,Separated,Transport-moving,Unmarried,Black,Female,0,0,30,United-States,<=50K +29,Private,375482,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,England,<=50K +25,Private,169124,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +31,Private,183000,Prof-school,15,Never-married,Tech-support,Not-in-family,White,Male,0,0,55,United-States,<=50K +34,Private,28053,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +34,Private,242984,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,45,United-States,>50K +66,State-gov,132055,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1825,40,United-States,>50K +41,Private,212894,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Guatemala,<=50K +62,Private,223975,7th-8th,4,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +58,Private,357788,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,406811,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,40,Canada,<=50K +24,Private,154422,Bachelors,13,Never-married,Exec-managerial,Own-child,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +47,Private,140644,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +19,Private,355477,HS-grad,9,Never-married,Other-service,Own-child,Black,Male,0,0,25,United-States,<=50K +32,Private,151773,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +51,State-gov,341548,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,512771,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +60,?,141580,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,48988,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,201022,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,50,United-States,>50K +20,Private,82777,HS-grad,9,Married-civ-spouse,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,152676,7th-8th,4,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,Puerto-Rico,<=50K +18,Private,115815,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +23,Private,168009,10th,6,Married-civ-spouse,Machine-op-inspct,Own-child,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +28,Private,213152,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,?,>50K +55,Private,89690,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +40,Private,126868,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +52,Private,95128,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Private,185567,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,40,United-States,>50K +21,Private,301408,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1602,22,United-States,<=50K +35,Private,216256,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +45,Private,182541,Some-college,10,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,48,United-States,<=50K +39,Private,172855,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +54,Private,68684,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +42,Private,364832,7th-8th,4,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,?,264300,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,20,United-States,<=50K +59,Self-emp-inc,349910,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,276218,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +22,Private,251196,Some-college,10,Never-married,Protective-serv,Own-child,Black,Female,0,0,20,United-States,<=50K +33,Private,196898,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,58343,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +18,Self-emp-inc,101061,11th,7,Never-married,Farming-fishing,Own-child,White,Male,0,0,70,United-States,<=50K +46,Private,415051,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,60,United-States,>50K +24,Private,174043,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,129460,Assoc-voc,11,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,30,Ecuador,<=50K +21,State-gov,110946,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,43,United-States,<=50K +22,Private,313873,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,30,United-States,<=50K +61,Private,81132,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Asian-Pac-Islander,Male,7298,0,40,Philippines,>50K +56,Federal-gov,255386,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Laos,<=50K +21,Private,191497,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +17,Private,128617,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K +29,Private,368949,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,?,>50K +28,Local-gov,263600,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +62,Private,257277,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +39,Private,339442,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,Black,Male,2176,0,40,United-States,<=50K +30,Local-gov,289442,HS-grad,9,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,?,162667,11th,7,Never-married,?,Unmarried,White,Male,0,0,40,El-Salvador,<=50K +18,Local-gov,466325,11th,7,Never-married,Adm-clerical,Own-child,White,Male,0,0,12,United-States,<=50K +54,Private,142169,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,252079,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +33,State-gov,119628,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,50,Hong,<=50K +50,Private,175804,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +57,Private,70720,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,78,United-States,<=50K +50,State-gov,201513,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +45,Private,257609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +41,Private,124692,Some-college,10,Married-civ-spouse,Exec-managerial,Own-child,White,Male,0,0,40,United-States,>50K +23,Private,268525,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +23,Private,250630,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,180277,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Hungary,<=50K +39,Self-emp-not-inc,191342,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,South,<=50K +29,Private,250967,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,48,United-States,>50K +46,Private,153254,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +18,Private,362600,5th-6th,3,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +68,Private,171933,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +62,Private,211408,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +43,Private,48193,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,22463,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,440969,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +21,State-gov,164922,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +41,Local-gov,134524,Assoc-voc,11,Divorced,Craft-repair,Unmarried,White,Female,0,0,45,United-States,<=50K +61,Private,176689,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,220993,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +21,Private,512828,HS-grad,9,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +36,State-gov,422275,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Mexico,<=50K +37,Local-gov,65291,Assoc-voc,11,Never-married,Protective-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +69,Private,197080,12th,8,Married-civ-spouse,Transport-moving,Husband,White,Male,9386,0,60,United-States,>50K +49,Federal-gov,181657,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +55,Private,190257,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,53,United-States,>50K +21,Private,238068,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,337046,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,187248,HS-grad,9,Married-civ-spouse,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +20,?,250037,Some-college,10,Never-married,?,Own-child,White,Female,0,0,18,?,<=50K +46,Private,285750,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,4064,0,55,United-States,<=50K +23,Private,260617,10th,6,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,216999,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +36,Private,531055,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,48,United-States,>50K +42,State-gov,121265,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,184466,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +45,Private,297676,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,40,Cuba,<=50K +52,Private,114228,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,3325,0,40,United-States,<=50K +22,Local-gov,121144,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,18,United-States,<=50K +20,Private,26842,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,2176,0,40,United-States,<=50K +27,Private,113054,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,43,United-States,<=50K +36,Private,256636,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,152246,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Amer-Indian-Eskimo,Male,0,0,52,United-States,<=50K +38,Private,108140,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +20,?,203353,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,207207,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +21,Private,115420,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +33,Private,80058,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Local-gov,48520,Assoc-acdm,12,Never-married,Protective-serv,Unmarried,White,Male,0,0,40,United-States,<=50K +61,Private,411652,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Mexico,<=50K +46,Private,154405,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,45,United-States,<=50K +55,Local-gov,104917,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +19,State-gov,261422,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +39,Private,48915,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +61,Private,172037,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,144833,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,275116,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +61,?,72886,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,38,United-States,>50K +61,Private,103575,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,37,United-States,<=50K +54,Private,200783,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +50,Self-emp-inc,152810,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,70,Germany,<=50K +37,Local-gov,44694,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,45,United-States,>50K +17,?,48703,11th,7,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +56,Private,91905,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,4,United-States,<=50K +31,Private,168906,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,>50K +32,State-gov,147215,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +28,Private,153546,11th,7,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,35595,Assoc-voc,11,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,225507,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +42,Private,345504,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +64,Private,137205,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +29,Private,327779,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,20,United-States,<=50K +41,?,213416,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,32,Mexico,<=50K +45,Private,362883,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +48,Private,131309,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +44,Private,188331,Some-college,10,Separated,Tech-support,Not-in-family,White,Female,0,0,38,United-States,<=50K +34,Federal-gov,194740,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,43711,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,187033,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +23,Private,233923,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +51,Private,84278,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +24,Private,437666,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,2885,0,50,United-States,<=50K +57,Private,186386,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Male,10520,0,40,United-States,>50K +23,Private,129767,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,1721,40,United-States,<=50K +34,Private,180284,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,>50K +36,Private,108320,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,4101,0,40,United-States,<=50K +56,Self-emp-inc,75214,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,32,United-States,>50K +42,Private,284758,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Self-emp-inc,188330,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +38,Private,333651,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,70,United-States,>50K +29,Local-gov,115305,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,40,United-States,>50K +54,Private,172962,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,1340,40,United-States,<=50K +40,Private,198096,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +29,Private,163265,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +35,Federal-gov,128608,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,107460,HS-grad,9,Separated,Exec-managerial,Unmarried,White,Female,0,0,37,United-States,<=50K +51,Private,251841,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,43,United-States,<=50K +28,Private,403671,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +58,Private,159378,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,>50K +24,Private,170070,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,25,United-States,<=50K +46,State-gov,192323,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,Private,135796,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,48,United-States,<=50K +22,Private,232985,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,20,United-States,<=50K +28,Private,34532,Bachelors,13,Never-married,Tech-support,Not-in-family,Black,Male,0,0,30,Jamaica,<=50K +17,?,371316,10th,6,Never-married,?,Own-child,White,Male,0,0,25,United-States,<=50K +23,Private,236994,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,60,United-States,<=50K +19,Private,208366,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,State-gov,102640,HS-grad,9,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,35,United-States,<=50K +38,Private,111377,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,<=50K +39,Federal-gov,472166,Some-college,10,Divorced,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +39,?,86551,12th,8,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,70943,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,5178,0,40,United-States,>50K +39,Private,294919,HS-grad,9,Divorced,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +22,Private,408383,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +36,Private,255454,HS-grad,9,Never-married,Craft-repair,Own-child,Black,Male,0,0,30,United-States,<=50K +32,Private,193260,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +29,?,191935,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Local-gov,125461,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +51,Private,97005,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,183319,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +32,State-gov,167049,12th,8,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,185216,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +51,Private,161838,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,57,United-States,<=50K +38,Private,165848,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,44,United-States,<=50K +21,Private,138816,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,20,United-States,<=50K +33,Self-emp-not-inc,99761,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,15,United-States,<=50K +34,Private,112139,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,129020,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +38,?,365465,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,15,United-States,<=50K +27,Self-emp-not-inc,259873,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,60,United-States,>50K +35,Self-emp-inc,89622,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +29,State-gov,201556,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +40,Private,176286,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +46,Private,192894,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,30,United-States,<=50K +37,Private,172232,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +38,Self-emp-not-inc,163204,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,25,United-States,<=50K +37,Private,265737,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,1887,60,Cuba,>50K +44,Private,215304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +25,Private,185952,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +38,Private,216845,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,42,United-States,<=50K +34,Local-gov,35683,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,10,United-States,<=50K +50,Self-emp-not-inc,371305,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,60,United-States,>50K +46,Private,102359,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +20,Private,200089,5th-6th,3,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,30,Guatemala,<=50K +47,State-gov,207120,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,38,United-States,>50K +46,Private,295334,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +34,Private,234537,Assoc-acdm,12,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +61,Private,142922,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +55,State-gov,181641,Some-college,10,Divorced,Prof-specialty,Not-in-family,Black,Female,0,0,37,United-States,<=50K +36,Private,185325,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +28,Private,167336,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,10520,0,40,United-States,>50K +22,Private,379778,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,176117,Some-college,10,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +33,Private,100228,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,150296,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,32,United-States,<=50K +43,Federal-gov,25005,Masters,14,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,12,United-States,<=50K +55,Private,134120,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +39,Self-emp-not-inc,251710,10th,6,Married-spouse-absent,Other-service,Not-in-family,White,Female,0,1721,15,United-States,<=50K +20,Private,653574,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,33,El-Salvador,<=50K +38,Private,175441,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +30,Private,333119,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,89154,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,42,El-Salvador,<=50K +60,Private,198727,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,30,United-States,<=50K +43,Private,87284,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,180686,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +23,Private,227070,Some-college,10,Never-married,Other-service,Unmarried,White,Female,0,0,48,El-Salvador,<=50K +57,Local-gov,189824,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,7298,0,40,United-States,>50K +25,Local-gov,348986,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,0,0,40,United-States,<=50K +38,Private,96185,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,32,United-States,<=50K +22,Private,112693,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +23,Private,417605,5th-6th,3,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +61,Self-emp-not-inc,140300,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,44,United-States,<=50K +28,Private,340408,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,46,United-States,<=50K +17,?,187539,11th,7,Never-married,?,Own-child,White,Female,0,0,10,United-States,<=50K +21,Private,237051,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,175622,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,389725,12th,8,Divorced,Craft-repair,Own-child,White,Male,0,0,35,United-States,<=50K +23,Private,182812,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,Dominican-Republic,<=50K +38,Self-emp-not-inc,245372,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,3137,0,50,United-States,<=50K +34,Local-gov,93886,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,46,United-States,>50K +21,Private,502837,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Female,0,0,40,Peru,<=50K +27,State-gov,212232,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,40,United-States,>50K +57,Private,300104,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,>50K +22,Private,156933,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,25,United-States,<=50K +20,Private,286734,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Female,0,0,35,United-States,<=50K +49,Self-emp-inc,143482,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K +38,Private,226357,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,104892,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,223194,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1485,40,Haiti,<=50K +37,Self-emp-not-inc,272090,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +57,Private,204816,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +56,Private,230039,7th-8th,4,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +41,Private,242619,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,80,United-States,<=50K +50,Self-emp-not-inc,131982,HS-grad,9,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,0,60,South,<=50K +33,Private,87310,9th,5,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,134566,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,<=50K +28,Federal-gov,163862,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +35,Private,239409,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,203717,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +45,Private,172274,Doctorate,16,Divorced,Prof-specialty,Unmarried,Black,Female,0,3004,35,United-States,>50K +30,Self-emp-not-inc,65278,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +35,Self-emp-inc,135289,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,<=50K +27,Private,246974,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,180060,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,Yugoslavia,<=50K +24,Private,118023,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +47,Private,102308,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +47,Private,45564,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +18,Private,137646,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +18,Private,237646,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +31,Local-gov,189843,HS-grad,9,Divorced,Protective-serv,Not-in-family,White,Male,0,0,47,United-States,>50K +43,Self-emp-not-inc,118261,Masters,14,Divorced,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +45,Private,288437,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Other,Male,4064,0,40,United-States,<=50K +39,Private,106347,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,316471,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,50,United-States,<=50K +22,Private,50058,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Self-emp-not-inc,182089,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,85,United-States,<=50K +36,Private,186865,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +20,State-gov,158206,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,<=50K +61,?,229744,1st-4th,2,Married-civ-spouse,?,Husband,White,Male,3942,0,20,Mexico,<=50K +27,Private,141545,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1902,45,United-States,<=50K +59,Local-gov,50929,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +60,Private,132529,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,260696,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,231180,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,60,United-States,<=50K +40,Private,223277,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,50,United-States,>50K +20,Private,279538,11th,7,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,2961,0,35,United-States,<=50K +47,Private,46044,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,168071,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +20,Private,79691,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +75,?,114204,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K +25,Private,124111,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,104521,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +29,Self-emp-not-inc,128516,Assoc-acdm,12,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,>50K +34,Private,112564,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +45,State-gov,32186,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,239663,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,2597,0,50,United-States,<=50K +46,Private,269284,Assoc-acdm,12,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +41,State-gov,175537,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,Black,Female,0,0,38,United-States,<=50K +29,Private,444304,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,Private,27415,11th,7,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Male,0,0,20,United-States,<=50K +39,Private,174343,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,148143,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,Private,209213,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,?,<=50K +20,Private,165097,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,?,51574,HS-grad,9,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,1602,38,United-States,<=50K +52,Private,167651,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Local-gov,29075,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +22,Private,396895,5th-6th,3,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,Mexico,<=50K +66,State-gov,71075,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +35,Private,129573,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +40,Local-gov,183765,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,>50K +21,Private,164991,HS-grad,9,Divorced,Sales,Unmarried,Amer-Indian-Eskimo,Female,0,0,38,United-States,<=50K +51,Local-gov,154891,HS-grad,9,Divorced,Protective-serv,Unmarried,White,Male,0,0,52,United-States,<=50K +34,Private,200117,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,176389,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,342567,Bachelors,13,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,178841,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +42,Local-gov,191149,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,29702,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +21,Private,157893,HS-grad,9,Never-married,Transport-moving,Own-child,White,Female,0,0,40,United-States,<=50K +64,Local-gov,31993,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,10,United-States,<=50K +24,Federal-gov,210736,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1974,40,United-States,<=50K +23,Private,39615,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,10,United-States,<=50K +29,Private,200511,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +44,Self-emp-not-inc,47818,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,60,United-States,<=50K +28,Private,183155,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +33,Self-emp-inc,374905,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +35,Private,128876,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,202872,10th,6,Married-spouse-absent,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,153414,Bachelors,13,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,24790,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,99,United-States,>50K +32,Private,316769,11th,7,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +37,Private,126569,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,128538,11th,7,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +24,Private,234640,Assoc-voc,11,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +29,?,65372,Some-college,10,Divorced,?,Unmarried,White,Female,0,0,40,United-States,<=50K +45,Private,343377,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,30731,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Private,412379,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Self-emp-inc,112320,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +63,Private,181929,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Male,0,0,50,United-States,>50K +32,Local-gov,100135,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,35,United-States,>50K +24,Private,128061,HS-grad,9,Never-married,Other-service,Own-child,White,Female,594,0,15,United-States,<=50K +72,?,402306,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,32,Canada,<=50K +35,?,98389,Some-college,10,Never-married,?,Unmarried,White,Male,0,0,10,United-States,<=50K +29,Private,179565,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,64922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,50,United-States,>50K +70,Private,102610,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +65,?,115513,Bachelors,13,Married-civ-spouse,?,Husband,White,Male,5556,0,48,United-States,>50K +36,Private,150548,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,30,United-States,<=50K +53,Private,133219,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,4386,0,30,United-States,>50K +49,Local-gov,67001,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,162347,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +18,Private,138557,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,170456,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,35,Italy,<=50K +42,Private,66006,10th,6,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,40,United-States,<=50K +25,State-gov,176077,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,37,United-States,<=50K +32,Private,218322,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +25,Self-emp-inc,181691,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,?,<=50K +47,Private,168232,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,7298,0,40,United-States,>50K +30,Private,161690,Assoc-voc,11,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,?,242736,Assoc-acdm,12,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +38,Self-emp-not-inc,67317,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,265807,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,2051,55,United-States,<=50K +37,Private,99357,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +56,Private,170070,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +52,State-gov,231166,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,62339,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +29,State-gov,118520,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K +45,Private,155659,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +23,Local-gov,157331,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,341762,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +30,Private,164190,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,42,United-States,<=50K +45,Private,83064,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,304283,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +23,Private,436798,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,29302,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,40,?,<=50K +43,Private,104660,Masters,14,Widowed,Exec-managerial,Unmarried,White,Male,4934,0,40,United-States,>50K +42,Private,79036,HS-grad,9,Divorced,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +72,Private,165622,Some-college,10,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,?,177287,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +57,Private,199847,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +24,Private,22966,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +27,Private,59068,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,77336,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +42,Local-gov,96524,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +17,Private,143868,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,40,United-States,<=50K +48,Private,121424,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +39,Private,176279,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Self-emp-inc,177905,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,70,United-States,>50K +50,Private,205100,7th-8th,4,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,?,<=50K +57,Private,353881,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +44,Local-gov,177937,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,36,United-States,>50K +20,?,122244,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,28,United-States,<=50K +49,Private,125892,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +44,Private,155472,Assoc-acdm,12,Never-married,Prof-specialty,Unmarried,Black,Female,1151,0,50,United-States,<=50K +42,Private,355728,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,44,United-States,<=50K +18,?,245274,Some-college,10,Never-married,?,Own-child,White,Male,0,0,16,United-States,<=50K +18,Private,240330,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,18,United-States,<=50K +51,Private,182944,HS-grad,9,Widowed,Tech-support,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,264498,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,110426,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,45,United-States,>50K +25,Private,166971,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,<=50K +41,Private,347653,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,50,United-States,>50K +39,Private,33975,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +42,Self-emp-not-inc,215219,11th,7,Separated,Other-service,Unmarried,White,Female,0,0,30,United-States,<=50K +33,Private,190772,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,1617,40,United-States,<=50K +63,?,331527,10th,6,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,162494,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,45,United-States,>50K +27,Local-gov,85918,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,68,United-States,<=50K +39,Private,91367,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1848,45,United-States,>50K +20,Private,182342,Some-college,10,Never-married,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +49,Private,129640,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +70,?,133536,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,28,United-States,<=50K +46,Private,148738,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,1740,35,United-States,<=50K +47,Private,102583,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +35,Private,111387,9th,5,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,241752,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +22,?,334593,Some-college,10,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +43,Private,101950,Bachelors,13,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +60,Local-gov,212856,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +53,Private,183973,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,>50K +47,Private,142061,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,158615,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,29145,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,40135,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +23,Private,224640,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,?,146651,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,15,United-States,<=50K +29,Private,167737,HS-grad,9,Never-married,Transport-moving,Other-relative,White,Male,0,0,50,United-States,<=50K +23,Private,60331,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,187167,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,?,157131,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +27,Local-gov,255237,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +56,?,192325,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +40,Private,163342,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,70,United-States,<=50K +31,Private,129775,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,<=50K +18,Private,206008,Some-college,10,Never-married,Sales,Unmarried,White,Male,2176,0,40,United-States,<=50K +25,Private,397317,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,745768,Some-college,10,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +38,Private,141550,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Private,35576,HS-grad,9,Widowed,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,376383,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,35,Mexico,<=50K +48,Self-emp-not-inc,200825,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,30,United-States,>50K +34,?,362787,HS-grad,9,Never-married,?,Unmarried,Black,Female,0,0,35,United-States,<=50K +46,Private,116789,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +26,Private,160300,HS-grad,9,Married-spouse-absent,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +47,Private,362654,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,?,107801,Some-college,10,Never-married,?,Own-child,White,Female,0,0,3,United-States,<=50K +65,Private,170939,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,6723,0,40,United-States,<=50K +31,Local-gov,224234,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +38,Private,478346,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,7688,0,40,United-States,>50K +68,Private,211162,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,147638,Bachelors,13,Never-married,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Hong,<=50K +42,Private,104647,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,67365,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Private,230959,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,1887,40,Philippines,>50K +39,Private,176335,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,65,United-States,>50K +31,Self-emp-not-inc,268482,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,State-gov,288731,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +36,Private,231082,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +42,State-gov,333530,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,>50K +62,Private,214288,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,118023,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,24,United-States,<=50K +21,Private,187088,Some-college,10,Never-married,Adm-clerical,Own-child,Other,Female,0,0,20,Cuba,<=50K +60,?,174073,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,133833,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +30,Private,229772,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +64,Private,210082,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,119287,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,28,United-States,>50K +41,Self-emp-not-inc,111772,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +25,Private,122999,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Male,0,0,40,United-States,<=50K +27,Private,44767,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,200574,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,44,United-States,<=50K +58,Private,236596,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,33124,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,United-States,<=50K +50,Local-gov,308764,HS-grad,9,Widowed,Transport-moving,Unmarried,White,Female,0,0,40,United-States,<=50K +27,Private,103524,HS-grad,9,Separated,Handlers-cleaners,Unmarried,White,Male,0,0,40,United-States,<=50K +31,?,99483,HS-grad,9,Never-married,?,Own-child,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +50,Private,230951,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,99355,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +33,Private,857532,12th,8,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +62,Private,81116,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Male,0,1974,40,United-States,<=50K +38,Private,154410,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,Poland,<=50K +19,Private,198943,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,35,United-States,<=50K +30,Private,311696,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,30,United-States,<=50K +38,Private,252897,Some-college,10,Divorced,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +42,Self-emp-not-inc,39539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,>50K +49,Self-emp-inc,122066,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,25,United-States,<=50K +53,Private,110977,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,50,United-States,>50K +45,Local-gov,199590,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,Mexico,>50K +24,Private,202721,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +29,Private,197565,Assoc-voc,11,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +24,Private,206827,Some-college,10,Never-married,Sales,Own-child,White,Female,5060,0,30,United-States,<=50K +38,Federal-gov,190895,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,?,>50K +25,Self-emp-inc,158751,Assoc-voc,11,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K +51,State-gov,243631,10th,6,Married-civ-spouse,Craft-repair,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +17,?,219277,11th,7,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +19,Private,45381,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,8,United-States,<=50K +38,Private,167482,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +60,Private,225014,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Self-emp-not-inc,405083,HS-grad,9,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +66,?,186061,Some-college,10,Widowed,?,Unmarried,Black,Female,0,4356,40,United-States,<=50K +28,Federal-gov,24153,10th,6,Married-civ-spouse,Other-service,Wife,Amer-Indian-Eskimo,Female,0,0,40,United-States,<=50K +36,Private,126569,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Ecuador,>50K +57,?,137658,HS-grad,9,Married-civ-spouse,?,Husband,Other,Male,0,0,5,Columbia,<=50K +24,Private,315476,Assoc-acdm,12,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,248186,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +29,Self-emp-inc,206903,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,>50K +67,Self-emp-not-inc,191380,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,20051,0,25,United-States,>50K +20,Private,191910,HS-grad,9,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +21,Private,145119,Some-college,10,Never-married,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,20,United-States,<=50K +20,Private,130840,10th,6,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +42,Private,33126,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +20,Private,334105,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,10,United-States,<=50K +19,Local-gov,354104,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +34,Private,111985,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +40,Local-gov,321187,Bachelors,13,Never-married,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +33,Private,138142,Some-college,10,Separated,Other-service,Unmarried,Black,Female,0,0,25,United-States,<=50K +36,Private,296999,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Female,0,0,37,United-States,<=50K +43,Private,155106,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,2444,70,United-States,>50K +41,Local-gov,174491,HS-grad,9,Separated,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +34,State-gov,173266,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +33,Private,25610,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Other,Male,0,0,40,Japan,>50K +47,Private,187563,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,196344,1st-4th,2,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,Mexico,<=50K +40,Private,205047,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,>50K +28,Private,715938,Bachelors,13,Never-married,Craft-repair,Own-child,Black,Male,0,0,40,United-States,<=50K +62,Self-emp-not-inc,224520,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,90,United-States,>50K +29,Private,229656,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +46,Private,97883,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,131298,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,60,United-States,<=50K +57,Federal-gov,197875,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,172766,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +28,Local-gov,175796,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,51973,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +54,Self-emp-not-inc,28186,Bachelors,13,Divorced,Farming-fishing,Not-in-family,White,Male,27828,0,50,United-States,>50K +22,Private,291979,11th,7,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,State-gov,180752,Bachelors,13,Never-married,Protective-serv,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Private,234657,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +18,Private,39411,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +52,State-gov,334273,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +41,Private,192779,7th-8th,4,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,?,<=50K +21,?,105312,HS-grad,9,Never-married,?,Not-in-family,White,Female,0,0,20,United-States,<=50K +36,Private,171676,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,1741,40,United-States,<=50K +34,Self-emp-not-inc,182714,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,55,United-States,>50K +21,Private,231866,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,102102,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +57,?,50248,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +61,Local-gov,195519,Masters,14,Never-married,Prof-specialty,Unmarried,White,Female,0,0,25,United-States,<=50K +22,State-gov,34310,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +33,?,314913,11th,7,Divorced,?,Own-child,White,Male,0,0,53,United-States,<=50K +36,State-gov,747719,Prof-school,15,Married-civ-spouse,Prof-specialty,Wife,White,Female,15024,0,50,United-States,>50K +43,Local-gov,188280,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,914,0,40,United-States,<=50K +25,Private,110978,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,37,India,>50K +17,Private,79682,10th,6,Never-married,Priv-house-serv,Other-relative,White,Male,0,0,30,United-States,<=50K +45,Private,294671,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,4386,0,38,United-States,>50K +30,Private,340899,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,1590,80,United-States,<=50K +40,Private,192259,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,35,United-States,<=50K +31,Local-gov,190228,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +42,Private,118947,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +53,Private,55861,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +37,Private,238433,1st-4th,2,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,Cuba,<=50K +37,State-gov,166744,HS-grad,9,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,20,United-States,<=50K +54,Private,144586,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +36,Private,134367,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +46,Private,133616,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +46,Private,203039,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +32,Private,217460,9th,5,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,106733,11th,7,Never-married,Craft-repair,Own-child,White,Male,594,0,40,United-States,<=50K +42,State-gov,212027,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +37,Local-gov,126569,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,289960,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +54,Private,174102,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,181716,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +46,Local-gov,172822,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,293091,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,107443,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K +59,Private,95283,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,65278,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +35,Private,220943,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,1594,40,United-States,<=50K +53,Private,257940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,2829,0,40,United-States,<=50K +26,Private,134945,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,40,United-States,<=50K +55,Self-emp-not-inc,105582,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,2228,0,50,United-States,<=50K +46,Private,169324,HS-grad,9,Separated,Other-service,Not-in-family,Black,Female,0,0,45,Jamaica,<=50K +44,State-gov,98989,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Amer-Indian-Eskimo,Male,0,0,38,United-States,>50K +30,Self-emp-not-inc,113838,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,3137,0,60,Germany,<=50K +24,Private,143436,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,24,United-States,<=50K +32,Private,143604,10th,6,Married-spouse-absent,Other-service,Not-in-family,Black,Female,0,0,37,United-States,<=50K +35,Private,226311,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +67,Private,94610,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,30,United-States,>50K +56,Self-emp-not-inc,26716,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +26,Private,160261,Masters,14,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,20,India,<=50K +46,Private,117310,Assoc-acdm,12,Widowed,Tech-support,Unmarried,White,Female,6497,0,40,United-States,<=50K +52,Private,154342,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +38,Self-emp-not-inc,89202,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,174704,HS-grad,9,Divorced,Sales,Unmarried,Black,Male,0,0,50,United-States,<=50K +53,Private,153486,HS-grad,9,Separated,Transport-moving,Not-in-family,White,Male,0,0,30,United-States,<=50K +27,Private,360097,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,230356,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,163870,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,199753,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,>50K +20,Private,333505,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,Nicaragua,<=50K +60,Local-gov,149281,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +51,Private,138514,Assoc-voc,11,Divorced,Tech-support,Unmarried,Black,Female,0,0,48,United-States,<=50K +57,Federal-gov,66504,Prof-school,15,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +59,Private,206487,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +37,Private,170020,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,217605,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Wife,White,Female,0,0,40,United-States,<=50K +43,Private,145711,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,72,United-States,>50K +17,Private,169155,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +45,Private,34127,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +18,Private,110142,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +52,Private,222646,12th,8,Separated,Machine-op-inspct,Other-relative,White,Female,0,0,40,Cuba,<=50K +18,Private,182643,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,9,United-States,<=50K +20,Private,303565,Some-college,10,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,40,Germany,<=50K +34,Private,140092,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +19,Private,178811,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Female,0,0,20,United-States,<=50K +18,?,267399,12th,8,Never-married,?,Own-child,White,Female,0,0,12,United-States,<=50K +17,Local-gov,192387,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K +30,Federal-gov,127610,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Private,258862,Bachelors,13,Never-married,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K +30,Private,225231,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,8614,0,50,United-States,>50K +18,Private,174926,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,15,?,<=50K +50,State-gov,238187,Bachelors,13,Divorced,Adm-clerical,Not-in-family,Black,Female,0,0,37,United-States,<=50K +22,Private,191444,HS-grad,9,Never-married,Sales,Other-relative,White,Male,0,0,40,United-States,<=50K +21,Private,198822,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,35,United-States,<=50K +39,Self-emp-not-inc,251323,9th,5,Married-civ-spouse,Farming-fishing,Other-relative,White,Male,0,0,40,Cuba,<=50K +20,Private,168187,Some-college,10,Never-married,Other-service,Other-relative,White,Female,4416,0,25,United-States,<=50K +62,Private,370881,Assoc-acdm,12,Widowed,Other-service,Not-in-family,White,Female,0,0,7,United-States,<=50K +32,Private,198183,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +38,Private,210610,Assoc-acdm,12,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +32,Private,269182,Some-college,10,Separated,Tech-support,Unmarried,Black,Female,3887,0,40,United-States,<=50K +55,Private,141727,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,3464,0,40,United-States,<=50K +38,Private,185848,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,70,United-States,>50K +34,Private,46746,11th,7,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +28,Private,120475,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +26,Private,135845,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +41,Private,310255,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +61,State-gov,379885,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,40,United-States,>50K +75,Self-emp-not-inc,31428,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3456,0,40,United-States,<=50K +21,Private,211013,Assoc-voc,11,Married-civ-spouse,Other-service,Other-relative,White,Female,0,0,50,Mexico,<=50K +50,Private,175029,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +49,Self-emp-inc,119539,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,?,>50K +26,Private,247025,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,65,United-States,<=50K +39,Private,252327,7th-8th,4,Never-married,Other-service,Own-child,White,Male,0,0,40,Mexico,<=50K +24,Self-emp-not-inc,375313,Some-college,10,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +56,Private,107165,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,18,United-States,<=50K +17,Private,108470,11th,7,Never-married,Other-service,Own-child,Black,Male,0,0,17,United-States,<=50K +37,Private,150057,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +23,Private,189468,Assoc-voc,11,Married-civ-spouse,Machine-op-inspct,Own-child,White,Female,0,0,30,United-States,<=50K +28,?,198393,HS-grad,9,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,181031,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +42,Local-gov,569930,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,>50K +25,Private,27411,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,147397,Bachelors,13,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,20,United-States,<=50K +39,Private,242922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +54,Private,154949,11th,7,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,>50K +41,Self-emp-inc,423217,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +43,Federal-gov,195385,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +19,Private,100009,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,191628,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,340880,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,Philippines,>50K +19,Private,207173,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,30,United-States,<=50K +33,Private,48010,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,229051,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,52,United-States,<=50K +49,Private,193366,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +31,Private,57781,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,<=50K +69,?,121136,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,13,United-States,<=50K +41,Private,433989,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,4386,0,60,United-States,>50K +24,Private,136687,HS-grad,9,Separated,Machine-op-inspct,Unmarried,Other,Female,0,0,40,United-States,<=50K +45,State-gov,154117,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,38,United-States,>50K +63,Private,294009,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +75,Private,239038,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,16,United-States,<=50K +34,Private,244064,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Male,0,0,40,United-States,<=50K +69,Private,128348,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Black,Male,9386,0,50,United-States,>50K +33,Private,66278,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,162643,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,43,United-States,<=50K +45,Private,179659,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +18,Private,205218,11th,7,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +48,Private,154033,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,0,0,52,United-States,<=50K +43,Private,158528,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,366219,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,1848,60,United-States,>50K +35,Private,301862,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +34,Private,228406,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,120131,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,70,United-States,>50K +54,Local-gov,127943,HS-grad,9,Widowed,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +57,Private,301514,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,156980,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,60,United-States,<=50K +28,Private,124685,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,55,United-States,<=50K +51,Private,305673,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Canada,>50K +34,Local-gov,31391,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,53,United-States,>50K +41,Local-gov,33658,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +21,Private,211391,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,27,United-States,<=50K +26,Private,402998,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,58,United-States,>50K +66,Private,78855,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +40,Private,320451,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1977,45,Hong,>50K +48,Private,49278,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,?,248876,Bachelors,13,Divorced,?,Not-in-family,White,Male,0,0,50,United-States,<=50K +41,Private,242586,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,359696,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,15024,0,60,United-States,>50K +55,Local-gov,296085,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +43,Private,233130,Bachelors,13,Divorced,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +51,Private,189511,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,Germany,>50K +31,Private,124420,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,67072,Bachelors,13,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,6849,0,60,United-States,<=50K +51,Private,194908,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +31,Local-gov,94991,HS-grad,9,Divorced,Other-service,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +18,Private,194561,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,37,United-States,<=50K +60,Private,75726,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,1092,40,United-States,<=50K +29,Private,60722,HS-grad,9,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +33,Private,59944,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,220840,5th-6th,3,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,Mexico,<=50K +40,Self-emp-inc,104235,Masters,14,Never-married,Other-service,Own-child,White,Male,0,0,99,United-States,<=50K +57,Private,142714,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,38,United-States,<=50K +55,Local-gov,110490,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,60,United-States,<=50K +40,Self-emp-not-inc,154076,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +26,State-gov,130557,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,35,United-States,<=50K +29,Private,107108,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Private,207172,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,Mexico,<=50K +29,Private,304595,Masters,14,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +43,Private,475322,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +65,Private,107620,11th,7,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +19,Private,301911,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Male,0,0,35,Laos,<=50K +35,Private,267866,HS-grad,9,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,1887,50,Iran,>50K +28,Private,269786,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,167474,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,115023,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,60,United-States,>50K +63,Local-gov,86590,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,32,United-States,<=50K +47,State-gov,187087,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +31,Private,184307,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,225859,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,2907,0,30,United-States,<=50K +29,Private,57889,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +59,Private,157932,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,187830,Masters,14,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,62,United-States,>50K +49,Private,251180,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,2407,0,50,United-States,<=50K +60,Private,317083,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +35,Self-emp-not-inc,190895,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +48,Federal-gov,328606,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,?,403860,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,215479,HS-grad,9,Separated,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +56,Private,157639,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +26,Private,152129,12th,8,Never-married,Other-service,Unmarried,Black,Male,0,0,40,United-States,<=50K +53,Private,239284,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +23,Private,234302,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,Black,Male,0,0,40,United-States,<=50K +58,Private,218724,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +61,Private,106330,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,35032,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,60,United-States,<=50K +22,Private,234641,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,170730,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +31,Private,218322,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +90,Private,47929,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,142411,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,<=50K +22,?,219122,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,132887,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,Black,Male,3411,0,40,Jamaica,<=50K +34,State-gov,44464,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,60,United-States,<=50K +28,Private,180928,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,5013,0,55,United-States,<=50K +22,?,199426,Some-college,10,Never-married,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,139703,HS-grad,9,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,<=50K +33,Private,202642,Bachelors,13,Separated,Prof-specialty,Other-relative,Black,Female,0,0,40,Jamaica,<=50K +17,Private,160049,10th,6,Never-married,Other-service,Own-child,White,Female,0,0,12,United-States,<=50K +38,Private,239755,11th,7,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,152369,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +34,Private,42900,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +72,?,117017,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,8,United-States,<=50K +57,Private,175017,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Italy,<=50K +39,Private,342642,HS-grad,9,Divorced,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +50,Self-emp-not-inc,143730,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,80,United-States,<=50K +45,Private,191098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +37,Private,208106,Bachelors,13,Separated,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +27,Private,167737,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,48,United-States,<=50K +43,Private,315971,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +41,Private,142717,Some-college,10,Divorced,Tech-support,Unmarried,Black,Female,0,0,36,United-States,<=50K +20,Private,190227,Masters,14,Never-married,Exec-managerial,Own-child,White,Male,0,0,25,United-States,<=50K +44,Private,79864,Masters,14,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K +50,Private,34067,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +54,Private,222882,HS-grad,9,Widowed,Exec-managerial,Unmarried,White,Female,0,0,45,United-States,<=50K +31,Private,44464,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,1564,60,United-States,>50K +33,Private,256062,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,Puerto-Rico,<=50K +22,Private,251073,9th,5,Never-married,Other-service,Own-child,White,Male,0,0,50,United-States,<=50K +46,Private,149949,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,165235,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,>50K +22,?,243190,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,China,<=50K +59,?,160662,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,2407,0,60,United-States,<=50K +57,Self-emp-not-inc,175942,Some-college,10,Widowed,Exec-managerial,Other-relative,White,Male,0,0,25,United-States,<=50K +26,Private,212793,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Local-gov,153312,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +55,Local-gov,173296,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,0,0,45,United-States,<=50K +47,Private,120131,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +19,Private,117444,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,226196,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +44,Private,202872,Assoc-acdm,12,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +42,Private,176716,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,>50K +39,Private,82540,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,<=50K +17,?,41643,11th,7,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,197292,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,50,United-States,<=50K +26,Private,76491,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +50,Self-emp-inc,101094,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,<=50K +46,Self-emp-not-inc,119944,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +18,Private,141626,Some-college,10,Never-married,Tech-support,Own-child,White,Male,2176,0,20,United-States,<=50K +26,Private,122575,Bachelors,13,Never-married,Exec-managerial,Unmarried,Asian-Pac-Islander,Male,0,0,60,Vietnam,<=50K +32,Private,194740,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +50,Private,263200,5th-6th,3,Married-spouse-absent,Other-service,Unmarried,White,Female,0,0,34,Mexico,<=50K +47,Local-gov,140644,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +52,Private,202115,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,25,United-States,<=50K +25,Federal-gov,27142,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Local-gov,318046,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +53,Private,276369,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +30,Private,67187,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Amer-Indian-Eskimo,Female,0,0,8,United-States,<=50K +23,Private,133582,1st-4th,2,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,36,Mexico,<=50K +23,Private,216672,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,30,?,<=50K +32,Private,45796,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,<=50K +29,Self-emp-inc,31778,HS-grad,9,Separated,Prof-specialty,Other-relative,White,Male,0,0,25,United-States,<=50K +40,Private,190044,Assoc-acdm,12,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,State-gov,144351,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +17,?,172145,10th,6,Never-married,?,Own-child,Black,Female,0,0,40,United-States,<=50K +55,Private,193130,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +59,Local-gov,140478,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +56,Private,122390,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,15024,0,40,United-States,>50K +23,Private,116830,12th,8,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +37,Local-gov,117683,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,106491,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +22,?,39803,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +27,Private,363053,9th,5,Never-married,Priv-house-serv,Unmarried,White,Female,0,0,24,Mexico,<=50K +21,Private,54472,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +47,Local-gov,200471,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,5178,0,40,United-States,>50K +38,Private,54317,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,60,United-States,<=50K +62,Local-gov,113443,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,10520,0,33,United-States,>50K +27,Private,159623,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +25,?,161235,Assoc-voc,11,Never-married,?,Own-child,White,Male,0,0,90,United-States,<=50K +27,Private,247978,HS-grad,9,Never-married,Other-service,Own-child,Black,Female,0,0,40,United-States,<=50K +40,Private,305846,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +22,Self-emp-not-inc,214014,Some-college,10,Never-married,Sales,Own-child,Black,Male,99999,0,55,United-States,>50K +33,Private,226525,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +28,Private,247819,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,5,United-States,<=50K +28,Private,194940,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,289991,HS-grad,9,Never-married,Transport-moving,Unmarried,White,Male,0,0,55,United-States,<=50K +46,Private,585361,9th,5,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,91145,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +65,?,231604,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,45,Germany,<=50K +28,Private,273269,Some-college,10,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,40,United-States,<=50K +39,Private,202683,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,159179,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Private,28952,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,39,United-States,<=50K +25,?,214925,10th,6,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +63,Private,163708,9th,5,Widowed,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +56,Private,200235,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +46,Private,109209,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +19,Private,166153,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,30,United-States,<=50K +56,Local-gov,268213,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,35,?,>50K +31,Private,69056,HS-grad,9,Divorced,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +51,State-gov,237141,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +17,Private,277541,11th,7,Never-married,Sales,Own-child,White,Male,0,0,5,United-States,<=50K +27,Local-gov,289039,Some-college,10,Never-married,Protective-serv,Unmarried,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +30,Private,134737,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,45,United-States,<=50K +18,Private,56613,Some-college,10,Never-married,Protective-serv,Own-child,White,Female,0,0,20,United-States,<=50K +41,Private,36699,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,4650,0,40,United-States,<=50K +40,Local-gov,333530,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,40,United-States,>50K +35,Private,185366,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +29,Private,154017,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,10,United-States,<=50K +27,Private,215504,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,1848,55,United-States,>50K +25,Private,222539,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,2597,0,50,United-States,<=50K +53,Private,191565,1st-4th,2,Divorced,Other-service,Unmarried,Black,Female,0,0,40,Dominican-Republic,<=50K +53,Private,111939,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +26,State-gov,53903,HS-grad,9,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +41,Private,146659,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +28,Private,194200,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +48,State-gov,78529,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,0,0,60,United-States,<=50K +22,Private,194829,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,30,United-States,<=50K +40,Federal-gov,330174,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +52,Self-emp-inc,230767,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,60,Cuba,>50K +53,Local-gov,137250,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,1669,35,United-States,<=50K +40,Private,254478,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +57,Private,300908,Assoc-acdm,12,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,75,United-States,<=50K +53,Self-emp-not-inc,187830,Assoc-voc,11,Separated,Craft-repair,Not-in-family,White,Male,0,0,40,Poland,<=50K +23,Private,201138,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,8,United-States,<=50K +31,Self-emp-not-inc,44503,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,381357,9th,5,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,28,United-States,<=50K +25,Private,311124,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +37,Private,96330,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +50,Private,228238,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +34,Self-emp-not-inc,56964,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +37,Private,127772,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Private,386397,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +29,Self-emp-not-inc,404998,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,90,United-States,<=50K +49,Private,34545,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +31,Private,157886,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,40,United-States,<=50K +47,Private,101299,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,134447,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,70,United-States,<=50K +27,Private,191822,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +23,Private,70919,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +55,Private,266343,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,46,United-States,<=50K +28,Private,87239,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +31,Local-gov,236487,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,Germany,<=50K +30,Private,224147,HS-grad,9,Never-married,Transport-moving,Own-child,Black,Male,0,0,40,United-States,<=50K +23,Private,197200,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,60,United-States,<=50K +19,Private,124265,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +22,Private,79980,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,25,United-States,<=50K +50,Private,128814,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,25,United-States,<=50K +64,?,208862,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,50,United-States,>50K +21,Private,51262,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,35,United-States,<=50K +75,Self-emp-inc,98116,Some-college,10,Widowed,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +29,Private,82393,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Asian-Pac-Islander,Male,0,0,40,Germany,<=50K +47,Private,57534,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +20,Private,218962,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,204752,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Private,243631,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,45,China,>50K +41,Private,170299,Assoc-voc,11,Divorced,Prof-specialty,Unmarried,White,Female,0,0,43,United-States,<=50K +23,Private,60331,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +38,Private,269318,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,5178,0,50,United-States,>50K +67,State-gov,132819,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,41,United-States,>50K +21,Private,119665,Some-college,10,Never-married,Tech-support,Own-child,White,Male,0,0,35,United-States,<=50K +38,Private,150057,Some-college,10,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,45,United-States,<=50K +31,Private,128567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +19,?,230874,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +59,Self-emp-not-inc,148526,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,Private,160192,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +50,Local-gov,74660,Some-college,10,Widowed,Prof-specialty,Unmarried,White,Male,0,0,40,United-States,<=50K +60,Self-emp-inc,142494,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,122042,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +28,Self-emp-inc,37088,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +36,Private,61778,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +21,?,176356,Some-college,10,Never-married,?,Own-child,White,Female,0,0,10,Germany,<=50K +27,Private,123302,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,Poland,<=50K +18,Private,89760,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +44,Local-gov,165304,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K +56,Private,104945,7th-8th,4,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,40,United-States,<=50K +51,Self-emp-inc,192973,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,>50K +48,Private,97863,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,Italy,>50K +31,Private,73585,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +35,Private,29145,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +35,Private,175232,HS-grad,9,Divorced,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +36,Private,325374,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,107231,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1672,65,United-States,<=50K +23,Private,129345,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,25,United-States,<=50K +21,Private,228395,Some-college,10,Never-married,Sales,Other-relative,Black,Female,0,0,20,United-States,<=50K +49,Private,452402,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,60,United-States,<=50K +51,Self-emp-inc,338260,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +46,Private,165138,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,109055,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,3137,0,45,United-States,<=50K +27,Private,193122,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +56,?,425497,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +48,Private,191858,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,297155,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +29,Local-gov,181282,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +50,Federal-gov,111700,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +18,Private,35065,HS-grad,9,Never-married,Transport-moving,Not-in-family,Black,Male,0,0,35,United-States,<=50K +37,Private,298539,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,55,United-States,>50K +51,Self-emp-not-inc,95435,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +31,Private,162160,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,47,United-States,<=50K +29,Private,176037,Assoc-voc,11,Divorced,Tech-support,Not-in-family,Black,Male,14344,0,40,United-States,>50K +39,Private,314007,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,40,United-States,<=50K +48,Private,197683,Some-college,10,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,>50K +44,Private,242521,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7688,0,50,United-States,>50K +39,Private,290321,10th,6,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +22,Local-gov,44064,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +27,?,174163,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,40,United-States,>50K +42,Private,374790,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,231562,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,33,United-States,<=50K +27,Private,376150,Some-college,10,Married-spouse-absent,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +51,Private,99987,10th,6,Separated,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Self-emp-not-inc,120126,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +60,Self-emp-not-inc,33717,11th,7,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +36,Private,132879,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K +45,Private,304570,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,60,China,>50K +40,Private,100292,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,52,United-States,>50K +63,Private,117473,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,4386,0,40,United-States,>50K +41,Private,239833,HS-grad,9,Married-spouse-absent,Transport-moving,Unmarried,Black,Male,0,0,50,United-States,<=50K +53,?,155233,12th,8,Married-civ-spouse,?,Wife,White,Female,0,0,40,Italy,<=50K +34,Private,130369,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Female,1151,0,48,Germany,<=50K +34,Private,347166,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,502752,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,>50K +22,State-gov,255575,Assoc-acdm,12,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,15,United-States,<=50K +49,Private,277946,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +43,?,214541,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,35,United-States,<=50K +36,Private,143123,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +27,Private,69132,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,37,United-States,<=50K +52,Self-emp-not-inc,34973,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1887,60,United-States,>50K +29,Private,236992,HS-grad,9,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,50,United-States,<=50K +27,Private,492263,10th,6,Separated,Machine-op-inspct,Own-child,White,Male,0,0,35,Mexico,<=50K +42,Private,180019,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,65,United-States,<=50K +49,Self-emp-not-inc,47086,Bachelors,13,Widowed,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,222853,Some-college,10,Never-married,Craft-repair,Unmarried,White,Male,0,0,50,United-States,<=50K +22,Private,344176,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,20,United-States,<=50K +30,Self-emp-not-inc,223212,Bachelors,13,Never-married,Sales,Unmarried,White,Male,0,0,40,United-States,<=50K +28,Private,110981,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +20,Private,162688,Assoc-voc,11,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,181307,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,43,United-States,>50K +39,Private,148903,HS-grad,9,Divorced,Sales,Not-in-family,White,Female,4687,0,50,United-States,>50K +43,Private,306440,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,66,France,<=50K +18,Private,210311,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +53,Private,127117,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +74,Private,54732,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,20,United-States,>50K +39,Private,271521,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,48,Philippines,>50K +33,?,216908,10th,6,Never-married,?,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Private,543922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,42,United-States,>50K +21,Private,766115,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,35,United-States,<=50K +65,?,52728,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,284166,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,1564,50,United-States,>50K +49,Private,122206,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,25,United-States,<=50K +20,?,95989,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +47,Private,334039,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,44,United-States,>50K +46,Self-emp-not-inc,225456,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,112847,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,7298,0,32,United-States,>50K +61,Self-emp-not-inc,171840,HS-grad,9,Widowed,Prof-specialty,Unmarried,White,Female,0,0,16,United-States,<=50K +48,Private,180695,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +44,Private,121012,9th,5,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +37,Self-emp-inc,126569,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +45,Private,227791,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1740,50,United-States,<=50K +51,Self-emp-not-inc,290290,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +33,Local-gov,251521,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +55,Self-emp-not-inc,41938,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,8,United-States,<=50K +25,Private,27678,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,60,United-States,<=50K +26,Private,133756,HS-grad,9,Divorced,Farming-fishing,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +54,Private,215990,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +38,Private,461337,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,33,United-States,<=50K +39,Local-gov,344855,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,1977,20,United-States,>50K +20,State-gov,214542,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +30,Private,258170,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Federal-gov,242147,HS-grad,9,Divorced,Adm-clerical,Not-in-family,Other,Male,0,0,45,United-States,<=50K +42,Private,235700,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,278130,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,Private,261241,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +60,Private,85995,Masters,14,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,50,South,>50K +42,Private,340885,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,44,United-States,<=50K +42,Private,152889,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,195023,HS-grad,9,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Columbia,<=50K +52,State-gov,109600,Masters,14,Married-spouse-absent,Exec-managerial,Unmarried,White,Female,4787,0,44,United-States,>50K +27,?,249463,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +43,Private,158177,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +43,State-gov,47818,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,391468,11th,7,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +52,Local-gov,199995,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7298,0,60,United-States,>50K +31,Private,231043,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +38,?,281768,7th-8th,4,Divorced,?,Unmarried,Black,Female,0,0,30,United-States,<=50K +44,Private,267790,9th,5,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +27,Private,217379,Some-college,10,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +50,Private,421561,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +23,Private,50953,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +22,Private,138504,Some-college,10,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,30,United-States,<=50K +36,State-gov,177064,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,103064,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,3674,0,40,United-States,<=50K +59,Private,184493,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +39,Private,104089,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +23,Private,149204,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,405284,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,1340,42,United-States,<=50K +25,Local-gov,137296,Assoc-acdm,12,Never-married,Adm-clerical,Own-child,Black,Female,0,0,38,United-States,<=50K +40,Private,87771,HS-grad,9,Married-civ-spouse,Craft-repair,Wife,White,Female,0,1628,45,United-States,<=50K +38,State-gov,125499,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,7688,0,60,India,>50K +31,Private,59083,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,35,United-States,<=50K +28,Local-gov,138332,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +24,Private,198914,HS-grad,9,Never-married,Sales,Unmarried,Black,Male,0,0,25,United-States,<=50K +46,Local-gov,238162,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,50,United-States,>50K +29,Private,123677,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,Asian-Pac-Islander,Female,0,0,40,Laos,<=50K +38,Federal-gov,325538,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +53,Private,251063,Some-college,10,Separated,Exec-managerial,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Private,51471,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,1902,40,United-States,>50K +39,Private,175681,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,60,?,<=50K +44,Private,165599,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +46,Private,149640,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Male,0,0,45,England,>50K +30,Private,143526,Bachelors,13,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +24,Private,211160,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,342989,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +62,Self-emp-not-inc,173631,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,<=50K +25,Private,141876,HS-grad,9,Married-spouse-absent,Exec-managerial,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,137604,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +21,Private,129232,Some-college,10,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +64,Federal-gov,271550,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +39,Private,456922,Bachelors,13,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +60,Private,232242,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,352188,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,114967,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Private,201981,HS-grad,9,Divorced,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +32,State-gov,159247,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,125905,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,186824,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Local-gov,121012,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +58,Private,110844,Masters,14,Widowed,Sales,Not-in-family,White,Female,0,0,27,United-States,<=50K +23,Private,143003,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,1887,50,India,>50K +31,Federal-gov,59732,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +28,Private,178489,Bachelors,13,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,45,?,<=50K +41,?,252127,Some-college,10,Widowed,?,Unmarried,Black,Female,0,0,20,United-States,<=50K +37,Private,109633,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,16,United-States,>50K +19,Private,160811,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,38,United-States,<=50K +27,Self-emp-not-inc,365110,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,20,United-States,<=50K +61,Self-emp-not-inc,113080,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,58,United-States,>50K +39,Private,206074,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +25,Private,173062,Bachelors,13,Never-married,Handlers-cleaners,Unmarried,Black,Male,0,0,40,United-States,<=50K +58,Private,117273,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +27,Self-emp-not-inc,153805,Some-college,10,Married-civ-spouse,Transport-moving,Other-relative,Other,Male,0,0,50,Ecuador,>50K +51,Private,293802,5th-6th,3,Married-civ-spouse,Handlers-cleaners,Husband,Black,Male,0,0,52,United-States,<=50K +43,Local-gov,153132,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +46,Private,166809,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +67,?,34122,5th-6th,3,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +50,Local-gov,231725,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,63210,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,15,United-States,<=50K +35,Private,108293,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,32,United-States,>50K +57,Private,116878,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Italy,<=50K +40,Private,110622,Prof-school,15,Married-civ-spouse,Adm-clerical,Other-relative,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +42,Local-gov,180318,10th,6,Never-married,Farming-fishing,Unmarried,White,Male,0,0,35,United-States,<=50K +67,Self-emp-inc,112318,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,252079,Bachelors,13,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,7688,0,44,United-States,>50K +30,Private,27153,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,73312,11th,7,Never-married,Machine-op-inspct,Unmarried,White,Female,0,0,15,United-States,<=50K +51,Private,145409,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +38,Private,167882,Some-college,10,Widowed,Other-service,Other-relative,Black,Female,0,0,45,Haiti,<=50K +24,Private,236696,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Own-child,White,Male,0,0,35,United-States,<=50K +48,Self-emp-not-inc,28791,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +34,State-gov,118551,Bachelors,13,Married-civ-spouse,Tech-support,Own-child,White,Female,5178,0,25,?,>50K +70,Private,187292,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,6418,0,40,United-States,>50K +35,Private,189922,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,?,584259,Masters,14,Married-civ-spouse,?,Husband,White,Male,0,0,2,United-States,>50K +26,Private,173992,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +64,Private,253759,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,3,United-States,<=50K +26,Private,111243,HS-grad,9,Never-married,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +39,Self-emp-not-inc,147850,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,30,United-States,<=50K +55,Private,171015,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,36,United-States,<=50K +23,Private,118023,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,45,?,<=50K +33,Self-emp-not-inc,361497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +31,Private,137290,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +28,Local-gov,401886,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,20,United-States,<=50K +50,Private,201882,Masters,14,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,30,United-States,<=50K +26,Local-gov,30793,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,55,United-States,>50K +44,Federal-gov,139161,Assoc-acdm,12,Divorced,Adm-clerical,Not-in-family,Black,Female,0,1741,40,United-States,<=50K +51,Private,210736,HS-grad,9,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +34,Private,167781,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,103986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,39,United-States,>50K +29,Private,144592,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +24,Private,493034,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +27,Private,184078,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +44,Private,191814,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +24,Private,329852,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,223660,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +47,Private,177087,Some-college,10,Separated,Adm-clerical,Unmarried,White,Female,0,0,50,United-States,>50K +30,Private,143766,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +35,Private,234271,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Federal-gov,314822,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +42,Private,195584,Assoc-acdm,12,Separated,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +70,Self-emp-inc,207938,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2377,50,United-States,>50K +41,Private,126850,Prof-school,15,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +36,Private,279485,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,38,United-States,<=50K +44,Private,267717,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,42,United-States,>50K +42,?,175935,HS-grad,9,Separated,?,Unmarried,White,Male,0,0,40,United-States,<=50K +20,Private,163665,Some-college,10,Never-married,Transport-moving,Own-child,White,Female,0,0,17,United-States,<=50K +29,Private,200468,10th,6,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,91501,HS-grad,9,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,40,United-States,<=50K +30,Private,182771,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +59,Self-emp-not-inc,56392,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,1579,60,United-States,<=50K +31,Private,20511,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +21,Private,538822,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,Mexico,<=50K +26,Private,332008,Some-college,10,Never-married,Craft-repair,Unmarried,Asian-Pac-Islander,Male,0,0,37,Taiwan,<=50K +57,Self-emp-inc,220789,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +59,Self-emp-not-inc,114760,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,>50K +87,?,90338,HS-grad,9,Widowed,?,Not-in-family,White,Male,0,0,2,United-States,<=50K +25,Private,181576,Some-college,10,Never-married,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +39,Private,198841,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,45,United-States,>50K +53,Private,53197,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,3103,0,40,United-States,>50K +32,State-gov,542265,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,193026,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,25505,Assoc-voc,11,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,35,United-States,<=50K +17,Private,375657,11th,7,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,30,United-States,<=50K +44,Private,201599,11th,7,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,181820,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,20,United-States,<=50K +57,Private,334224,Some-college,10,Married-civ-spouse,Craft-repair,Wife,White,Female,9386,0,40,United-States,>50K +30,State-gov,54318,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,141388,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,55,United-States,<=50K +54,Self-emp-not-inc,57101,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,35,United-States,<=50K +44,Private,168515,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,Germany,<=50K +60,Private,163665,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,16,United-States,>50K +28,Private,207513,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,42,United-States,>50K +39,Private,293291,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,50,United-States,>50K +55,Private,70088,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Private,199346,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +55,Local-gov,143949,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,3103,0,45,United-States,>50K +33,Private,207201,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,55,United-States,>50K +30,Private,430283,HS-grad,9,Married-civ-spouse,Adm-clerical,Wife,White,Female,7298,0,40,United-States,>50K +40,Local-gov,293809,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +30,Private,378009,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +40,Private,226608,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,30,Guatemala,>50K +24,Private,314182,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,50,United-States,<=50K +18,Private,170544,11th,7,Never-married,Sales,Own-child,White,Male,0,0,20,United-States,<=50K +18,Private,94196,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,25,United-States,<=50K +49,Private,193047,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +42,Private,112607,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +28,Local-gov,146949,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,309513,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +48,Self-emp-not-inc,191389,Some-college,10,Separated,Sales,Unmarried,White,Female,0,0,50,United-States,<=50K +24,Private,213902,7th-8th,4,Never-married,Priv-house-serv,Own-child,White,Female,0,0,32,El-Salvador,<=50K +73,Self-emp-not-inc,46514,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,25,United-States,<=50K +35,Private,75855,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7298,0,40,?,>50K +23,Private,38707,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,60,United-States,>50K +19,Private,188568,Some-college,10,Never-married,Priv-house-serv,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,215014,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,Mexico,<=50K +27,Private,184477,12th,8,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,204235,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +31,Private,39054,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,20,United-States,<=50K +64,Self-emp-inc,272531,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +45,Private,358701,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,10,Mexico,<=50K +47,Private,217750,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,35,United-States,<=50K +22,Private,200374,HS-grad,9,Never-married,Machine-op-inspct,Other-relative,White,Male,0,0,35,United-States,<=50K +24,Private,498349,Bachelors,13,Never-married,Transport-moving,Unmarried,Black,Female,0,0,40,United-States,<=50K +69,State-gov,170458,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,20,United-States,<=50K +40,Self-emp-not-inc,57233,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +45,Private,188432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +47,Self-emp-not-inc,33300,Assoc-acdm,12,Never-married,Farming-fishing,Other-relative,White,Male,10520,0,45,United-States,>50K +31,Private,225779,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +48,Private,46677,Assoc-acdm,12,Divorced,Exec-managerial,Unmarried,White,Female,0,0,42,United-States,<=50K +41,Private,227968,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,Black,Female,0,0,35,Haiti,>50K +34,Private,85355,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +48,Private,207120,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,229223,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,7688,0,36,United-States,>50K +20,Private,224640,Assoc-acdm,12,Never-married,Exec-managerial,Own-child,White,Female,0,0,40,United-States,<=50K +39,Private,139012,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +40,Federal-gov,130749,Some-college,10,Divorced,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +28,Private,204516,10th,6,Never-married,Transport-moving,Not-in-family,White,Male,0,0,45,United-States,<=50K +20,Private,105479,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +41,Private,197093,Bachelors,13,Divorced,Prof-specialty,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Self-emp-inc,431245,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +24,Private,155150,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +35,State-gov,216035,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,388247,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +23,Private,208908,Bachelors,13,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +23,Private,259301,HS-grad,9,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,69333,Assoc-voc,11,Married-civ-spouse,Transport-moving,Husband,White,Male,4386,0,80,United-States,>50K +34,Private,167893,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,64,United-States,>50K +32,Federal-gov,386877,Assoc-voc,11,Never-married,Tech-support,Own-child,Black,Male,4650,0,40,United-States,<=50K +54,Private,146551,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,54,United-States,>50K +48,Private,238360,Bachelors,13,Separated,Adm-clerical,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +38,Private,187748,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +48,State-gov,50748,Bachelors,13,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,50136,5th-6th,3,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,El-Salvador,<=50K +42,Private,111483,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,>50K +31,Private,298871,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,China,<=50K +27,Private,147340,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,50,United-States,>50K +57,Private,132704,Masters,14,Separated,Prof-specialty,Not-in-family,White,Male,10520,0,32,United-States,>50K +46,State-gov,327786,Assoc-voc,11,Divorced,Tech-support,Not-in-family,White,Female,3325,0,42,United-States,<=50K +44,Federal-gov,243636,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +42,Local-gov,194417,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +24,Private,236696,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Private,337130,1st-4th,2,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +29,Private,273051,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,52,Yugoslavia,>50K +38,Private,186191,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,<=50K +33,Private,268451,Some-college,10,Divorced,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +61,Private,154600,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,4,United-States,<=50K +49,Local-gov,405309,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +51,Self-emp-not-inc,99185,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +42,Private,191765,HS-grad,9,Divorced,Other-service,Other-relative,Black,Female,0,0,35,United-States,<=50K +21,Private,253583,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +29,?,297054,HS-grad,9,Divorced,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +54,Private,204397,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +23,Private,288771,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,United-States,<=50K +52,Private,173987,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +28,Local-gov,33662,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,7298,0,40,United-States,>50K +23,Private,91658,Some-college,10,Divorced,Handlers-cleaners,Own-child,White,Male,0,0,40,United-States,<=50K +43,Private,226902,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,80,United-States,>50K +45,Private,232586,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +51,Self-emp-not-inc,291755,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,<=50K +29,?,207032,HS-grad,9,Married-spouse-absent,?,Unmarried,Black,Female,0,0,42,Haiti,<=50K +23,Private,161478,Some-college,10,Never-married,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +73,Self-emp-not-inc,109833,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +47,Self-emp-not-inc,229394,11th,7,Divorced,Exec-managerial,Unmarried,White,Female,0,0,55,United-States,<=50K +61,?,69285,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,37,United-States,<=50K +26,Private,491862,Assoc-voc,11,Never-married,Exec-managerial,Not-in-family,Black,Female,0,0,40,United-States,<=50K +40,Private,311534,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +32,Self-emp-not-inc,420895,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,47,United-States,<=50K +39,Private,226374,10th,6,Divorced,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +33,Federal-gov,101345,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,48779,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,35,United-States,<=50K +42,Private,152676,HS-grad,9,Divorced,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,164877,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +33,Private,97521,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +47,Private,88564,5th-6th,3,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,20,United-States,<=50K +33,Private,188246,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,189185,HS-grad,9,Divorced,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +42,State-gov,163069,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +28,Private,251905,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,112403,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +18,Private,36882,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +33,Self-emp-not-inc,195891,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +36,Private,194905,Bachelors,13,Widowed,Prof-specialty,Unmarried,White,Female,0,0,44,United-States,<=50K +33,Private,133503,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,7688,0,48,United-States,>50K +40,Private,31621,HS-grad,9,Married-spouse-absent,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +57,Self-emp-not-inc,413373,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,1902,40,United-States,>50K +40,Private,196029,HS-grad,9,Divorced,Transport-moving,Unmarried,White,Male,0,0,45,United-States,<=50K +36,Private,107302,HS-grad,9,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,50,United-States,<=50K +45,Private,151267,Bachelors,13,Never-married,Adm-clerical,Not-in-family,Black,Female,0,0,40,United-States,>50K +52,Private,256861,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,82777,HS-grad,9,Separated,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Private,147430,HS-grad,9,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,?,60726,HS-grad,9,Never-married,?,Own-child,Black,Male,0,0,40,United-States,<=50K +46,Self-emp-not-inc,165754,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +36,Private,448337,HS-grad,9,Separated,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,185079,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +36,Private,418702,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +48,Private,41504,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,>50K +21,Private,387335,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,1719,9,United-States,<=50K +18,Private,261720,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +38,Private,133963,Bachelors,13,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,>50K +66,?,357750,11th,7,Widowed,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +36,State-gov,179488,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,7298,0,55,United-States,>50K +38,Private,60135,HS-grad,9,Never-married,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +55,Self-emp-not-inc,308746,Prof-school,15,Widowed,Prof-specialty,Not-in-family,White,Male,0,0,55,United-States,>50K +27,Private,278720,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,>50K +22,State-gov,477505,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +29,Private,164711,Some-college,10,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,United-States,<=50K +40,Private,208277,Some-college,10,Never-married,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,<=50K +21,Private,39943,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +49,Private,104542,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +29,Private,286634,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,50,United-States,>50K +28,Private,142712,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +26,Private,336404,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +33,Private,117983,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,41,United-States,<=50K +72,?,108796,Prof-school,15,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +59,Private,59469,Masters,14,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Iran,<=50K +37,Private,171968,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +56,?,119254,10th,6,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,278617,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +39,Private,72338,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +49,Local-gov,343231,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,80,United-States,<=50K +30,Private,63910,HS-grad,9,Married-civ-spouse,Sales,Own-child,Asian-Pac-Islander,Female,0,0,40,United-States,<=50K +28,Private,190350,9th,5,Married-civ-spouse,Protective-serv,Wife,Black,Female,0,0,40,United-States,<=50K +25,State-gov,176162,Bachelors,13,Never-married,Protective-serv,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,37720,10th,6,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +25,Private,421467,Assoc-acdm,12,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,26,United-States,<=50K +36,Private,138441,Some-college,10,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +52,Private,146767,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +20,?,369678,12th,8,Never-married,?,Not-in-family,Other,Male,0,1602,40,United-States,<=50K +25,Private,160445,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +26,Private,211695,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,102346,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,2415,20,United-States,>50K +48,Private,128796,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +39,Private,111129,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +30,Local-gov,44566,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +26,Private,118497,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +36,Private,334291,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1887,40,United-States,>50K +49,Private,237920,Doctorate,16,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +34,Local-gov,136331,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,<=50K +28,Private,187397,HS-grad,9,Never-married,Other-service,Other-relative,Other,Male,0,0,48,Mexico,<=50K +28,Self-emp-not-inc,119793,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +42,Private,24982,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +26,Self-emp-not-inc,231714,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +54,Private,229272,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,>50K +66,?,68219,9th,5,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +61,Self-emp-not-inc,268831,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,53,United-States,<=50K +45,Self-emp-not-inc,149640,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,30,United-States,>50K +29,Private,261725,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,35,United-States,<=50K +74,Private,161387,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,16,United-States,<=50K +61,Local-gov,260167,HS-grad,9,Widowed,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,200928,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,22,United-States,<=50K +53,Federal-gov,155594,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +57,Self-emp-not-inc,79539,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +41,Private,469454,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,331482,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +43,Private,225193,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +26,?,370727,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,1977,40,United-States,>50K +29,Private,82393,HS-grad,9,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Male,0,0,25,Philippines,<=50K +65,?,37170,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,20,United-States,<=50K +41,Private,58484,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,40,United-States,<=50K +31,Local-gov,156464,Bachelors,13,Never-married,Prof-specialty,Other-relative,White,Male,0,0,40,?,<=50K +50,Private,344621,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +52,Private,174752,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +18,Self-emp-inc,174202,HS-grad,9,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +26,Private,261203,7th-8th,4,Never-married,Other-service,Unmarried,Other,Female,0,0,30,?,<=50K +57,Private,316000,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +63,State-gov,216871,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,1740,40,United-States,<=50K +29,Private,246933,HS-grad,9,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,Mexico,<=50K +32,Self-emp-not-inc,112115,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,7688,0,40,United-States,>50K +34,Private,264651,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +43,Private,99185,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,58,United-States,<=50K +39,Private,176186,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +28,Private,100219,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,45,United-States,<=50K +32,Private,46691,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,State-gov,297735,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,90,United-States,<=50K +40,Private,132222,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,4386,0,50,United-States,>50K +25,Private,189656,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,60,United-States,>50K +54,Local-gov,224934,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +48,Self-emp-inc,149218,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,70,United-States,>50K +51,Private,158508,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +67,State-gov,261203,7th-8th,4,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,35,United-States,<=50K +17,Private,309504,10th,6,Never-married,Sales,Unmarried,White,Female,0,0,24,United-States,<=50K +24,State-gov,324637,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,267426,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +68,?,229016,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,25,United-States,<=50K +54,Private,46401,Some-college,10,Divorced,Other-service,Not-in-family,White,Female,0,0,47,United-States,<=50K +32,Private,114288,HS-grad,9,Divorced,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +61,?,203849,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +41,Federal-gov,193882,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,311269,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Private,156117,Assoc-voc,11,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +64,?,169917,7th-8th,4,Widowed,?,Not-in-family,White,Female,0,0,4,United-States,<=50K +51,Private,222615,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +41,State-gov,106900,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,7298,0,60,United-States,>50K +40,Federal-gov,78036,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,65,United-States,>50K +27,Private,380560,HS-grad,9,Never-married,Farming-fishing,Other-relative,White,Male,0,0,40,Mexico,<=50K +41,Private,167106,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,Asian-Pac-Islander,Male,3103,0,35,Philippines,>50K +51,Private,289436,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +36,Private,749636,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,154120,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,55,United-States,<=50K +43,Private,105119,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +61,Federal-gov,181081,HS-grad,9,Divorced,Adm-clerical,Own-child,Black,Female,0,0,20,United-States,<=50K +31,Private,182237,10th,6,Separated,Transport-moving,Unmarried,White,Male,0,0,40,United-States,<=50K +34,Private,102130,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,65,United-States,>50K +43,Private,266324,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,99,United-States,>50K +52,Private,170562,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,240543,11th,7,Never-married,Other-service,Own-child,White,Female,0,0,20,United-States,<=50K +37,Federal-gov,187046,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +60,Private,389254,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +47,Private,179955,Some-college,10,Widowed,Transport-moving,Unmarried,White,Female,0,0,25,Outlying-US(Guam-USVI-etc),<=50K +21,Private,197997,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,30,United-States,<=50K +34,Self-emp-inc,343789,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,55,United-States,>50K +28,Private,191088,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,1741,52,United-States,<=50K +40,Local-gov,141649,Assoc-voc,11,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +26,Private,433906,Assoc-acdm,12,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +48,Private,207982,Some-college,10,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +46,Private,175925,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,40,United-States,<=50K +58,Private,85767,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,48,United-States,<=50K +32,Self-emp-inc,281030,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +90,?,313986,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +38,Private,396595,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,>50K +20,?,189203,Assoc-acdm,12,Never-married,?,Not-in-family,White,Male,0,0,20,United-States,<=50K +43,Self-emp-not-inc,163108,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,99,United-States,<=50K +17,Private,141590,11th,7,Never-married,Priv-house-serv,Own-child,White,Female,0,0,12,United-States,<=50K +36,Private,137421,12th,8,Never-married,Transport-moving,Not-in-family,Asian-Pac-Islander,Male,0,0,45,?,<=50K +36,Private,67728,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,5013,0,40,Italy,<=50K +30,Private,345522,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,3103,0,70,United-States,>50K +45,Private,330087,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +51,Self-emp-not-inc,204322,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,50295,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,<=50K +35,Self-emp-not-inc,147258,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,65,United-States,<=50K +19,Private,194260,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +56,Private,437727,9th,5,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +64,?,34100,Some-college,10,Widowed,?,Not-in-family,White,Male,0,0,4,United-States,<=50K +62,?,186611,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,40,United-States,<=50K +24,Private,280960,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,24,United-States,<=50K +33,Private,33117,Assoc-acdm,12,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,169628,Bachelors,13,Never-married,Sales,Unmarried,Black,Female,0,0,35,United-States,>50K +22,State-gov,124942,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,45,United-States,<=50K +44,Private,143368,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,55,United-States,<=50K +37,Private,255621,HS-grad,9,Separated,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Self-emp-inc,154227,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,75,United-States,<=50K +43,Private,171438,Assoc-voc,11,Separated,Sales,Unmarried,White,Female,0,0,45,United-States,<=50K +39,Private,191524,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +30,Private,377017,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,32,United-States,<=50K +58,Private,192806,7th-8th,4,Never-married,Handlers-cleaners,Not-in-family,White,Female,0,0,33,United-States,<=50K +31,?,259120,Some-college,10,Married-civ-spouse,?,Wife,White,Female,0,0,10,United-States,<=50K +45,Local-gov,234195,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +30,Private,147596,Some-college,10,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Private,147251,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,36,United-States,<=50K +50,Private,176157,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +25,Local-gov,176162,Assoc-voc,11,Never-married,Protective-serv,Own-child,White,Male,0,0,30,United-States,<=50K +34,Private,384150,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +50,Private,107665,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +72,?,82635,11th,7,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +60,State-gov,165827,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +41,Private,287306,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,60,United-States,>50K +71,Self-emp-not-inc,78786,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,10,United-States,<=50K +40,Self-emp-not-inc,33310,Prof-school,15,Divorced,Other-service,Not-in-family,White,Female,0,2339,35,United-States,<=50K +22,Private,349368,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Female,0,0,30,United-States,<=50K +52,Private,117674,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,38,United-States,<=50K +30,Private,310889,Some-college,10,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,55,United-States,<=50K +36,?,187167,HS-grad,9,Separated,?,Not-in-family,White,Female,0,0,30,United-States,<=50K +40,Private,379919,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,34862,Assoc-acdm,12,Married-civ-spouse,Sales,Husband,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +44,Private,201723,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,45,United-States,>50K +38,Local-gov,161463,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,Black,Male,0,0,40,United-States,>50K +46,Private,186410,Prof-school,15,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,>50K +57,Federal-gov,62020,Prof-school,15,Divorced,Exec-managerial,Not-in-family,Black,Male,0,0,55,United-States,>50K +39,Private,42044,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +42,Private,170230,Bachelors,13,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K +43,Private,341358,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +22,Private,199426,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,17,United-States,<=50K +44,Private,89172,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +22,?,148955,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Female,0,0,15,South,<=50K +37,Private,140673,Some-college,10,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +20,?,71788,Some-college,10,Never-married,?,Own-child,White,Female,0,0,18,United-States,<=50K +26,State-gov,326033,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,80,United-States,<=50K +35,Private,129305,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,30,United-States,<=50K +28,Private,171067,HS-grad,9,Never-married,Handlers-cleaners,Own-child,White,Female,0,0,40,United-States,<=50K +34,Private,143582,Some-college,10,Never-married,Adm-clerical,Not-in-family,Asian-Pac-Islander,Female,0,0,35,Japan,<=50K +17,?,171461,10th,6,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +18,Private,257980,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +25,Private,182866,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,69333,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +61,Private,668362,1st-4th,2,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,132879,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +61,Private,181219,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1848,40,United-States,>50K +19,?,166018,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +22,Private,120518,HS-grad,9,Widowed,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +19,Private,183532,Some-college,10,Never-married,Handlers-cleaners,Own-child,White,Male,0,0,25,United-States,<=50K +45,Private,49298,Bachelors,13,Never-married,Tech-support,Own-child,White,Male,0,0,40,United-States,<=50K +20,Private,157332,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +37,Private,213726,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +26,Private,31143,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +17,?,256173,10th,6,Never-married,?,Own-child,White,Female,0,0,15,United-States,<=50K +26,Private,184872,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,55,United-States,>50K +58,Private,202652,HS-grad,9,Separated,Other-service,Unmarried,White,Female,0,0,40,Dominican-Republic,<=50K +61,?,101602,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,>50K +64,Private,60940,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,8614,0,50,France,>50K +19,Private,292590,HS-grad,9,Married-civ-spouse,Sales,Other-relative,White,Female,0,0,25,United-States,<=50K +36,Private,141420,Bachelors,13,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,30,United-States,<=50K +47,Private,159389,Assoc-acdm,12,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,254534,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,89508,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +38,Self-emp-not-inc,238980,Some-college,10,Never-married,Sales,Not-in-family,White,Male,0,0,60,United-States,<=50K +54,Private,178946,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,>50K +31,Private,204752,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +26,Private,290213,Some-college,10,Separated,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +50,Private,102615,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1902,40,United-States,>50K +41,Private,291965,Some-college,10,Never-married,Tech-support,Unmarried,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +52,Local-gov,175339,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +28,Private,90547,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,23,United-States,<=50K +23,?,449101,HS-grad,9,Married-civ-spouse,?,Own-child,White,Female,0,0,30,United-States,<=50K +46,Self-emp-not-inc,101722,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3137,0,40,United-States,<=50K +32,?,981628,HS-grad,9,Divorced,?,Unmarried,Black,Male,0,0,40,United-States,<=50K +59,?,147989,HS-grad,9,Widowed,?,Not-in-family,White,Female,0,0,35,United-States,<=50K +30,Self-emp-inc,204470,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,36,United-States,>50K +58,Local-gov,311409,Masters,14,Married-civ-spouse,Prof-specialty,Husband,Black,Male,7688,0,30,United-States,>50K +31,Private,190027,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,40,?,<=50K +36,Private,218015,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,48,United-States,<=50K +31,State-gov,77634,Preschool,1,Never-married,Other-service,Not-in-family,White,Male,0,0,24,United-States,<=50K +52,Self-emp-not-inc,42984,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,>50K +29,Private,413297,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,3411,0,70,Mexico,<=50K +48,Self-emp-not-inc,218835,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,England,<=50K +30,Private,341051,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +58,Private,252419,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,<=50K +20,Federal-gov,347935,Some-college,10,Never-married,Protective-serv,Own-child,Black,Male,0,0,40,United-States,<=50K +19,Private,237848,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,3,United-States,<=50K +63,Private,174826,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +51,Self-emp-not-inc,170086,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,45,United-States,>50K +53,Private,470368,Assoc-acdm,12,Divorced,Adm-clerical,Unmarried,White,Female,0,0,48,United-States,<=50K +54,Federal-gov,75235,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,5178,0,40,United-States,>50K +35,?,35854,Some-college,10,Never-married,?,Own-child,White,Female,0,0,40,United-States,<=50K +26,Private,746432,HS-grad,9,Never-married,Handlers-cleaners,Own-child,Black,Male,0,0,48,United-States,<=50K +47,Self-emp-not-inc,258498,Some-college,10,Married-civ-spouse,Other-service,Wife,White,Female,0,0,52,United-States,<=50K +44,Private,176063,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +80,Self-emp-not-inc,26865,7th-8th,4,Never-married,Farming-fishing,Unmarried,White,Male,0,0,20,United-States,<=50K +55,Private,104724,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +43,Private,346321,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +49,Private,402462,Bachelors,13,Married-spouse-absent,Transport-moving,Unmarried,White,Male,0,0,30,Columbia,<=50K +27,Private,153078,Prof-school,15,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Male,0,0,40,United-States,<=50K +42,Private,176063,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,55,United-States,>50K +39,Private,451059,9th,5,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +36,?,229533,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,106437,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +58,Local-gov,294313,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,Black,Female,0,0,55,United-States,<=50K +63,Private,67903,9th,5,Separated,Farming-fishing,Not-in-family,Black,Male,0,0,40,United-States,<=50K +49,Private,133669,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +36,Self-emp-inc,251730,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,60,United-States,>50K +46,Private,72896,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,155664,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,United-States,>50K +39,Private,206520,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,45,United-States,<=50K +33,Private,72338,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,65,Japan,>50K +43,Local-gov,34640,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Other,Male,0,1887,40,United-States,>50K +30,Private,236543,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,68,United-States,<=50K +39,Local-gov,43702,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,37,United-States,<=50K +44,Private,335248,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,198197,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +80,?,281768,Assoc-acdm,12,Married-civ-spouse,?,Husband,White,Male,0,0,4,United-States,<=50K +31,Private,160594,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,White,Male,0,0,3,United-States,<=50K +34,Local-gov,231826,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,El-Salvador,<=50K +28,Private,188171,Assoc-acdm,12,Never-married,Transport-moving,Own-child,White,Male,0,0,60,United-States,<=50K +55,Private,125000,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +36,Private,166509,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Private,402367,Some-college,10,Married-civ-spouse,Transport-moving,Husband,Black,Male,7688,0,45,United-States,>50K +67,Local-gov,204123,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,10,United-States,<=50K +53,Self-emp-inc,220786,Some-college,10,Widowed,Sales,Not-in-family,White,Female,0,0,60,United-States,<=50K +43,Private,254146,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,40,United-States,>50K +29,Local-gov,152461,Bachelors,13,Never-married,Tech-support,Not-in-family,White,Female,0,0,42,United-States,<=50K +19,Private,223669,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +51,Private,120270,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +21,Self-emp-not-inc,304602,Assoc-voc,11,Never-married,Farming-fishing,Own-child,White,Male,0,0,98,United-States,<=50K +54,Private,24108,Some-college,10,Separated,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,32546,Prof-school,15,Divorced,Prof-specialty,Unmarried,White,Male,7430,0,40,United-States,>50K +41,Private,93885,Some-college,10,Divorced,Sales,Unmarried,White,Female,0,0,48,United-States,<=50K +28,Private,210765,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,191276,Assoc-voc,11,Divorced,Handlers-cleaners,Unmarried,White,Female,0,0,40,United-States,<=50K +82,Self-emp-not-inc,71438,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,20,United-States,<=50K +23,Private,330571,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,16,United-States,<=50K +40,Local-gov,138634,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,112264,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +24,Private,205865,HS-grad,9,Never-married,Sales,Unmarried,White,Male,0,0,45,United-States,<=50K +21,Private,224640,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +27,Private,180758,Some-college,10,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,30,United-States,<=50K +29,?,499935,Assoc-voc,11,Never-married,?,Unmarried,White,Female,0,0,40,United-States,<=50K +40,Self-emp-not-inc,107762,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +17,Private,214787,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,25,United-States,<=50K +27,Private,211032,1st-4th,2,Never-married,Craft-repair,Not-in-family,White,Male,0,0,40,Mexico,<=50K +34,Private,208353,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +18,Private,157273,10th,6,Never-married,Other-service,Other-relative,Black,Male,0,0,15,United-States,<=50K +39,Private,75891,Bachelors,13,Divorced,Tech-support,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Self-emp-inc,177675,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,65,United-States,>50K +44,Private,182370,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +18,?,200525,11th,7,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +39,Private,174242,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,60,United-States,>50K +28,Private,95566,1st-4th,2,Married-spouse-absent,Other-service,Own-child,Other,Female,0,0,35,Dominican-Republic,<=50K +30,Private,30290,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +60,Private,240951,HS-grad,9,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +58,Private,183810,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,24,United-States,<=50K +49,Private,94342,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,<=50K +61,Self-emp-inc,148577,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +27,Private,103634,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,38,United-States,<=50K +59,Self-emp-not-inc,83542,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +52,Federal-gov,76131,Some-college,10,Married-civ-spouse,Exec-managerial,Wife,Asian-Pac-Islander,Female,0,0,40,United-States,>50K +42,Federal-gov,262402,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +27,Private,198286,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,34,United-States,<=50K +41,Self-emp-inc,145441,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +35,?,273558,Some-college,10,Never-married,?,Not-in-family,Black,Male,0,0,30,United-States,<=50K +50,Local-gov,117496,Bachelors,13,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K +36,Private,128876,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,Private,199698,HS-grad,9,Never-married,Farming-fishing,Own-child,White,Male,0,0,45,United-States,<=50K +38,Private,65390,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +46,Private,128645,Some-college,10,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,53481,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +55,Private,92215,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +49,Local-gov,78859,Masters,14,Widowed,Prof-specialty,Unmarried,White,Female,0,323,20,United-States,<=50K +59,Self-emp-inc,187502,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +38,Private,242080,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,55,United-States,>50K +22,Private,41837,Some-college,10,Never-married,Transport-moving,Own-child,White,Male,0,0,25,United-States,<=50K +28,Private,291374,12th,8,Never-married,Sales,Unmarried,Black,Female,0,0,40,United-States,<=50K +47,Private,148995,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,2415,60,United-States,>50K +59,Private,159008,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,56,United-States,<=50K +37,Private,271013,HS-grad,9,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,199046,Bachelors,13,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +34,Private,164280,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,Portugal,<=50K +35,Local-gov,116960,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,40,United-States,>50K +55,Private,100054,10th,6,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +18,Private,183824,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,30,United-States,<=50K +48,Private,313925,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,30,United-States,>50K +48,Private,379883,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Cuba,>50K +70,?,92593,Some-college,10,Widowed,?,Not-in-family,White,Female,0,0,25,United-States,<=50K +27,Private,189777,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,198330,Masters,14,Widowed,Prof-specialty,Unmarried,Black,Female,0,0,37,United-States,<=50K +32,Private,127451,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,38,United-States,>50K +62,?,31577,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,18,United-States,<=50K +18,?,90230,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,20,United-States,<=50K +50,Private,301024,Bachelors,13,Separated,Sales,Not-in-family,White,Male,0,0,40,United-States,>50K +38,Self-emp-not-inc,175732,HS-grad,9,Never-married,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,15,United-States,<=50K +18,Private,218889,9th,5,Never-married,Other-service,Own-child,Black,Male,0,0,35,United-States,<=50K +46,Private,117605,9th,5,Divorced,Sales,Not-in-family,White,Male,0,0,35,United-States,<=50K +26,Private,154571,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,Asian-Pac-Islander,Male,0,0,45,United-States,>50K +44,Private,228057,7th-8th,4,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,Dominican-Republic,<=50K +32,Private,173998,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +25,Private,90752,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +55,Private,51008,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +55,Federal-gov,113398,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Male,0,0,40,United-States,<=50K +25,Private,74977,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,40,United-States,<=50K +40,Private,101593,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +29,Private,228346,Assoc-voc,11,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +60,Private,180418,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,44489,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,<=50K +43,Self-emp-not-inc,277488,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +24,Private,103064,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,0,55,United-States,<=50K +34,Private,226872,Bachelors,13,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Self-emp-not-inc,330416,Some-college,10,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,60,United-States,<=50K +24,Private,186495,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +47,State-gov,205712,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,38,United-States,<=50K +18,Private,217743,11th,7,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,52565,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,1485,40,United-States,<=50K +22,Private,239954,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Male,0,0,40,United-States,<=50K +49,Self-emp-not-inc,349986,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +41,Private,117585,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1485,40,United-States,>50K +68,Self-emp-not-inc,122094,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,15,United-States,<=50K +62,Self-emp-not-inc,26857,7th-8th,4,Widowed,Farming-fishing,Other-relative,White,Female,0,0,35,United-States,<=50K +25,Local-gov,192321,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +24,Private,88095,Some-college,10,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,24,Mexico,<=50K +44,Private,144067,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,12,?,<=50K +32,Private,124187,9th,5,Married-civ-spouse,Farming-fishing,Husband,Black,Male,0,0,40,United-States,<=50K +49,Private,123681,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,43,United-States,>50K +68,Private,145638,Some-college,10,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,130513,Assoc-acdm,12,Never-married,Sales,Own-child,White,Female,0,0,40,Peru,<=50K +47,Federal-gov,197038,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +35,Private,189092,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +37,Self-emp-not-inc,198841,11th,7,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,317969,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,<=50K +37,Private,103121,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,1848,40,United-States,>50K +34,Private,111589,10th,6,Never-married,Other-service,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +46,Local-gov,267952,Assoc-voc,11,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,36,United-States,<=50K +21,Private,63899,11th,7,Never-married,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +26,Private,473625,HS-grad,9,Married-civ-spouse,Other-service,Wife,White,Female,0,0,30,United-States,<=50K +45,Private,187901,HS-grad,9,Divorced,Farming-fishing,Not-in-family,White,Male,0,2258,44,United-States,>50K +17,Private,24090,HS-grad,9,Never-married,Exec-managerial,Own-child,White,Female,0,0,35,United-States,<=50K +36,Self-emp-inc,102729,Assoc-acdm,12,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,70,United-States,<=50K +33,Private,91666,12th,8,Divorced,Exec-managerial,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,215873,HS-grad,9,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,40,United-States,<=50K +32,Private,152109,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +24,Private,175586,HS-grad,9,Never-married,Machine-op-inspct,Unmarried,Black,Female,0,0,40,United-States,<=50K +37,Private,232614,HS-grad,9,Divorced,Other-service,Unmarried,Black,Female,0,0,30,United-States,<=50K +53,State-gov,229465,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +44,Private,147110,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,14344,0,40,United-States,>50K +43,Local-gov,161240,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,45,United-States,>50K +29,Private,358124,HS-grad,9,Never-married,Other-service,Other-relative,Black,Female,0,0,52,United-States,<=50K +47,Private,222529,Bachelors,13,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,65,United-States,<=50K +37,Self-emp-not-inc,338320,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,60,United-States,<=50K +43,Self-emp-inc,62026,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +23,Private,263886,Some-college,10,Never-married,Sales,Not-in-family,Black,Female,0,0,20,United-States,<=50K +50,Private,310774,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,35,United-States,<=50K +25,Private,98155,Some-college,10,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +40,Private,259307,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,50,United-States,<=50K +39,Private,358753,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,7688,0,40,United-States,>50K +41,Private,29762,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +32,Private,202729,HS-grad,9,Married-civ-spouse,Transport-moving,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,28790,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,Private,53209,HS-grad,9,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +30,Local-gov,169020,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +34,Private,127195,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +41,Private,211731,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,Mexico,<=50K +42,Self-emp-not-inc,126614,Bachelors,13,Divorced,Exec-managerial,Not-in-family,Other,Male,0,0,30,Iran,<=50K +45,Private,259463,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +22,Private,228411,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,35,United-States,<=50K +25,Private,117827,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +22,Federal-gov,57216,Some-college,10,Never-married,Adm-clerical,Own-child,Black,Male,0,0,20,United-States,<=50K +46,State-gov,250821,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,15024,0,40,United-States,>50K +48,Self-emp-inc,88564,Some-college,10,Divorced,Farming-fishing,Not-in-family,White,Male,0,0,45,United-States,<=50K +45,Private,172822,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,52,United-States,>50K +19,Private,251579,Some-college,10,Never-married,Other-service,Own-child,White,Male,0,0,14,United-States,<=50K +31,Private,118399,11th,7,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +30,Self-emp-inc,178383,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,70,United-States,<=50K +40,Self-emp-not-inc,170866,Assoc-acdm,12,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +60,?,268954,Some-college,10,Married-civ-spouse,?,Husband,White,Male,0,0,12,United-States,>50K +52,?,89951,12th,8,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,>50K +22,Private,203894,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,15,United-States,<=50K +25,Private,237065,Some-college,10,Divorced,Other-service,Own-child,Black,Male,0,0,38,United-States,<=50K +51,Local-gov,108435,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,80,United-States,>50K +32,Private,93213,Assoc-acdm,12,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,62,United-States,<=50K +51,Self-emp-inc,231230,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,25,United-States,<=50K +42,Private,386175,Some-college,10,Divorced,Sales,Not-in-family,White,Male,0,0,50,United-States,>50K +39,Private,128392,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,1887,40,United-States,>50K +24,Private,223515,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +52,Private,208630,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,1741,38,United-States,<=50K +58,?,97969,1st-4th,2,Married-spouse-absent,?,Unmarried,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +43,Private,174295,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +31,Private,60229,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +28,Private,66095,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +31,Federal-gov,130057,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,60,United-States,>50K +61,Private,179743,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2051,20,United-States,<=50K +26,Private,192022,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Female,0,0,40,United-States,<=50K +46,Private,45288,Bachelors,13,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +62,?,178764,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,40,United-States,>50K +50,Private,99476,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,35,United-States,<=50K +18,Private,41973,11th,7,Never-married,Adm-clerical,Own-child,White,Female,0,0,5,United-States,<=50K +23,Private,162228,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,48,United-States,<=50K +21,Private,211968,Some-college,10,Never-married,Sales,Own-child,White,Female,0,1762,28,United-States,<=50K +46,Private,211226,Assoc-acdm,12,Married-civ-spouse,Transport-moving,Husband,Other,Male,0,0,36,United-States,<=50K +38,Private,33397,HS-grad,9,Divorced,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +53,Private,120839,12th,8,Divorced,Farming-fishing,Own-child,White,Male,0,0,40,United-States,<=50K +53,Private,36327,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +50,Private,139703,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +26,Private,107827,HS-grad,9,Never-married,Other-service,Unmarried,White,Male,0,0,25,United-States,<=50K +46,Local-gov,140219,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,8614,0,55,United-States,>50K +44,Local-gov,203761,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +36,Local-gov,114719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +20,Private,344394,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,30,United-States,<=50K +35,Private,195516,7th-8th,4,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,Mexico,<=50K +40,State-gov,31627,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,20,United-States,<=50K +70,Private,174032,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +57,Private,226875,7th-8th,4,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,<=50K +40,Private,566537,Preschool,1,Married-civ-spouse,Other-service,Husband,White,Male,0,1672,40,Mexico,<=50K +18,Private,36162,11th,7,Never-married,Craft-repair,Own-child,White,Male,0,0,5,United-States,<=50K +45,Self-emp-not-inc,31478,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,2829,0,60,United-States,<=50K +52,Private,294991,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +24,?,108495,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +42,Self-emp-inc,161532,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,60,United-States,<=50K +28,Local-gov,332249,HS-grad,9,Separated,Transport-moving,Own-child,White,Male,0,0,45,United-States,<=50K +32,Private,268147,Assoc-voc,11,Never-married,Tech-support,Unmarried,White,Female,0,0,60,United-States,<=50K +56,Federal-gov,317847,Bachelors,13,Divorced,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +44,Private,52028,1st-4th,2,Married-civ-spouse,Other-service,Wife,Asian-Pac-Islander,Female,0,0,40,Vietnam,<=50K +20,Private,184045,Some-college,10,Never-married,Sales,Unmarried,Black,Female,0,0,30,United-States,<=50K +32,Private,206609,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +59,Private,152968,Some-college,10,Separated,Adm-clerical,Other-relative,White,Male,3325,0,40,United-States,<=50K +21,Private,213015,HS-grad,9,Never-married,Handlers-cleaners,Other-relative,Black,Male,2176,0,40,United-States,<=50K +32,Private,313835,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +49,Private,66385,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,5013,0,40,United-States,<=50K +22,Private,205940,Bachelors,13,Never-married,Adm-clerical,Own-child,White,Female,1055,0,30,United-States,<=50K +51,Self-emp-inc,260938,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,60567,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,3411,0,40,United-States,<=50K +23,Private,335067,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,331126,HS-grad,9,Never-married,Other-service,Unmarried,Black,Male,0,0,30,United-States,<=50K +53,Private,156612,12th,8,Divorced,Transport-moving,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,188436,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,45,United-States,<=50K +60,Private,227468,Some-college,10,Widowed,Protective-serv,Not-in-family,Black,Female,0,0,40,United-States,<=50K +55,Private,183580,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,38,United-States,<=50K +57,Self-emp-not-inc,50990,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,30,United-States,<=50K +59,Private,384246,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +26,?,375313,Some-college,10,Never-married,?,Own-child,Asian-Pac-Islander,Male,0,0,40,Philippines,<=50K +30,Private,176410,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Own-child,White,Female,7298,0,16,United-States,>50K +49,Private,93639,Bachelors,13,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,43,United-States,<=50K +45,Private,30289,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-inc,124950,Bachelors,13,Never-married,Sales,Own-child,White,Female,0,0,40,United-States,<=50K +37,Self-emp-not-inc,126675,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,60,United-States,>50K +21,Private,145964,12th,8,Never-married,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +36,State-gov,345712,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +18,?,97474,HS-grad,9,Never-married,?,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,180342,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +19,Private,167087,HS-grad,9,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +65,?,192825,7th-8th,4,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +30,Private,318749,Assoc-voc,11,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,35,Germany,<=50K +27,?,147638,Masters,14,Never-married,?,Not-in-family,Other,Female,0,0,40,Japan,<=50K +59,Federal-gov,293971,Some-college,10,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,>50K +32,Private,229566,Assoc-voc,11,Married-civ-spouse,Other-service,Husband,White,Male,0,0,60,United-States,>50K +25,Private,242464,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,111067,Bachelors,13,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,80,United-States,>50K +21,?,155697,9th,5,Never-married,?,Own-child,White,Male,0,0,42,United-States,<=50K +49,Local-gov,106554,Bachelors,13,Divorced,Prof-specialty,Unmarried,White,Female,0,0,40,United-States,>50K +49,Private,23776,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +51,?,43909,HS-grad,9,Divorced,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +48,Private,105808,9th,5,Widowed,Transport-moving,Unmarried,White,Male,0,0,40,United-States,>50K +42,Private,169995,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,<=50K +53,Private,141388,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +29,Self-emp-not-inc,241431,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,45,United-States,<=50K +21,?,78374,HS-grad,9,Never-married,?,Other-relative,Asian-Pac-Islander,Female,0,0,24,United-States,<=50K +54,Self-emp-not-inc,158948,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,15,United-States,<=50K +66,Private,115498,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,55,?,>50K +34,Private,272411,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +39,Private,30529,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1887,40,United-States,>50K +62,?,263374,Assoc-voc,11,Married-civ-spouse,?,Husband,White,Male,0,0,40,Canada,<=50K +30,Private,190228,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,126060,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +25,Private,391192,Assoc-voc,11,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +26,Private,214069,HS-grad,9,Separated,Farming-fishing,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,170871,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,60,United-States,>50K +55,Private,118993,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,10,United-States,<=50K +26,Private,245880,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,40,United-States,<=50K +45,Private,174794,Bachelors,13,Separated,Prof-specialty,Unmarried,White,Female,0,0,56,Germany,<=50K +61,Local-gov,153408,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,>50K +34,?,330301,7th-8th,4,Separated,?,Unmarried,Black,Female,0,0,40,United-States,<=50K +26,Private,385278,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Black,Male,0,0,60,United-States,<=50K +44,Federal-gov,38434,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +45,Self-emp-not-inc,111679,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,30,United-States,<=50K +55,Private,168956,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,86143,Some-college,10,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,0,0,30,United-States,<=50K +48,Private,99835,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +33,Private,263561,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,60,United-States,<=50K +44,Private,118536,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +32,Self-emp-inc,209691,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,Canada,<=50K +54,Private,123374,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +40,Private,137225,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +29,Private,119359,HS-grad,9,Married-civ-spouse,Prof-specialty,Wife,Asian-Pac-Islander,Female,0,0,10,China,>50K +56,Private,134153,10th,6,Married-civ-spouse,Adm-clerical,Husband,Black,Male,0,0,40,United-States,<=50K +47,Private,121124,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +22,Private,147655,Some-college,10,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +46,Private,165138,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,45,United-States,>50K +24,Federal-gov,312017,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +37,Private,272950,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,259323,HS-grad,9,Divorced,Craft-repair,Unmarried,White,Male,0,0,40,United-States,<=50K +44,Federal-gov,281739,Some-college,10,Never-married,Adm-clerical,Not-in-family,White,Male,13550,0,50,United-States,>50K +21,Private,119156,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,40,United-States,<=50K +55,Private,165881,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +23,State-gov,136075,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,32,United-States,<=50K +50,Private,187465,11th,7,Divorced,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +44,Private,328561,Assoc-voc,11,Married-civ-spouse,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +48,Private,350440,Some-college,10,Married-civ-spouse,Craft-repair,Other-relative,Asian-Pac-Islander,Male,0,0,40,Cambodia,>50K +38,Self-emp-not-inc,109133,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,70,United-States,>50K +48,Private,109814,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +39,Private,86643,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +52,Federal-gov,154521,HS-grad,9,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,44,United-States,>50K +63,Private,45912,HS-grad,9,Widowed,Other-service,Other-relative,White,Female,0,0,40,United-States,<=50K +48,Private,175070,HS-grad,9,Divorced,Exec-managerial,Not-in-family,White,Female,0,2258,40,United-States,>50K +37,Private,338033,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +26,State-gov,158963,Masters,14,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Self-emp-inc,121441,11th,7,Never-married,Exec-managerial,Other-relative,White,Male,0,2444,40,United-States,>50K +47,Self-emp-not-inc,242391,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +19,Private,119964,HS-grad,9,Never-married,Craft-repair,Other-relative,White,Female,0,0,15,United-States,<=50K +34,Private,193344,Some-college,10,Never-married,Adm-clerical,Unmarried,White,Female,0,0,40,Germany,<=50K +29,Local-gov,45554,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +33,Private,249716,HS-grad,9,Never-married,Tech-support,Not-in-family,White,Male,0,0,45,United-States,<=50K +53,Private,58985,Some-college,10,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,24,United-States,<=50K +24,Private,456367,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +39,Private,117381,Some-college,10,Divorced,Transport-moving,Not-in-family,White,Male,0,0,65,United-States,<=50K +50,Self-emp-not-inc,240922,Assoc-acdm,12,Never-married,Sales,Not-in-family,White,Female,0,1408,5,United-States,<=50K +31,Private,226443,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,364342,Assoc-voc,11,Never-married,Sales,Not-in-family,Black,Female,0,0,25,United-States,<=50K +42,Local-gov,101593,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,42,United-States,<=50K +23,Private,267471,12th,8,Never-married,Sales,Own-child,White,Female,0,0,25,United-States,<=50K +22,Private,186849,11th,7,Divorced,Sales,Own-child,White,Male,0,0,50,United-States,<=50K +65,Private,174603,5th-6th,3,Widowed,Machine-op-inspct,Not-in-family,White,Female,0,0,10,Italy,<=50K +34,Private,115040,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,44,United-States,<=50K +23,Private,142766,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,1055,0,20,United-States,<=50K +38,Private,59660,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +45,Self-emp-not-inc,49595,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,80,United-States,<=50K +19,Private,127491,HS-grad,9,Never-married,Other-service,Not-in-family,White,Male,0,0,40,United-States,<=50K +46,Private,155933,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,1602,8,United-States,<=50K +23,Private,122272,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,20,United-States,<=50K +37,Private,143771,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +59,Private,91384,Bachelors,13,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,135874,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +35,Private,207066,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,10520,0,45,United-States,>50K +51,Private,172493,Some-college,10,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,12,United-States,<=50K +42,Local-gov,189956,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,0,0,30,United-States,<=50K +35,Private,106967,Masters,14,Never-married,Sales,Not-in-family,White,Female,0,0,40,United-States,<=50K +20,Private,200153,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,38,United-States,<=50K +25,Private,149943,HS-grad,9,Never-married,Other-service,Other-relative,Asian-Pac-Islander,Male,4101,0,60,?,<=50K +41,Private,151736,10th,6,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +40,Private,67852,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,35,United-States,<=50K +36,Private,54229,Assoc-acdm,12,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,37,United-States,<=50K +34,Self-emp-inc,154120,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,>50K +44,Self-emp-not-inc,157217,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,42,United-States,<=50K +31,Federal-gov,381645,Bachelors,13,Separated,Prof-specialty,Not-in-family,White,Male,0,0,40,United-States,<=50K +41,Local-gov,160785,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,133584,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +43,Private,170230,Masters,14,Never-married,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +58,Private,250206,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,5178,0,40,United-States,>50K +19,Private,128363,Some-college,10,Never-married,Sales,Own-child,White,Female,0,0,30,United-States,<=50K +43,Local-gov,163434,Bachelors,13,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,55,United-States,>50K +50,Private,195690,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,45,United-States,<=50K +44,Self-emp-inc,138991,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +46,Private,118419,HS-grad,9,Divorced,Machine-op-inspct,Unmarried,White,Male,0,0,38,United-States,<=50K +52,Self-emp-not-inc,185407,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +52,Self-emp-not-inc,283079,HS-grad,9,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +18,Private,119655,12th,8,Never-married,Adm-clerical,Own-child,White,Female,0,0,12,United-States,<=50K +29,Private,153416,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,<=50K +19,?,204868,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,36,United-States,<=50K +34,Private,220362,Bachelors,13,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +23,Local-gov,203078,Some-college,10,Married-civ-spouse,Protective-serv,Husband,Black,Male,0,0,40,United-States,<=50K +64,State-gov,104361,Some-college,10,Separated,Adm-clerical,Not-in-family,White,Female,0,0,65,United-States,<=50K +68,Private,274096,10th,6,Divorced,Transport-moving,Not-in-family,White,Male,0,0,20,United-States,<=50K +42,State-gov,455553,HS-grad,9,Never-married,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +41,Private,112283,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,60,United-States,>50K +41,Self-emp-inc,64506,HS-grad,9,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,<=50K +22,State-gov,24395,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,<=50K +67,Self-emp-inc,182581,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,20051,0,20,United-States,>50K +27,Private,100669,Some-college,10,Married-civ-spouse,Craft-repair,Husband,Asian-Pac-Islander,Male,0,0,40,Philippines,>50K +25,Private,178025,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +49,?,113913,HS-grad,9,Married-civ-spouse,?,Wife,White,Female,0,0,60,United-States,<=50K +28,Private,55191,Assoc-acdm,12,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,45,United-States,<=50K +51,Federal-gov,223206,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,Asian-Pac-Islander,Male,15024,0,40,Vietnam,>50K +23,Local-gov,162551,Bachelors,13,Never-married,Prof-specialty,Own-child,Asian-Pac-Islander,Female,0,0,35,China,<=50K +19,Private,693066,12th,8,Never-married,Other-service,Own-child,White,Female,0,0,15,United-States,<=50K +72,?,96867,5th-6th,3,Widowed,?,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,256362,Some-college,10,Never-married,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +53,Private,539864,Some-college,10,Divorced,Craft-repair,Not-in-family,White,Male,0,0,20,United-States,<=50K +35,Private,241153,Assoc-voc,11,Never-married,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,284395,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +18,Private,180039,12th,8,Never-married,Sales,Own-child,White,Female,0,0,20,United-States,<=50K +45,Private,178416,Assoc-voc,11,Divorced,Handlers-cleaners,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,175710,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Female,0,0,30,?,<=50K +22,Local-gov,164775,5th-6th,3,Never-married,Handlers-cleaners,Other-relative,White,Male,0,0,40,Guatemala,>50K +55,Private,176897,Some-college,10,Divorced,Tech-support,Not-in-family,White,Male,0,0,40,United-States,<=50K +45,Private,265097,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,1902,40,United-States,>50K +22,Private,193090,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +37,Private,186009,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1672,60,United-States,<=50K +28,Private,175262,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +19,Private,109928,11th,7,Never-married,Sales,Own-child,Black,Female,0,0,35,United-States,<=50K +37,Self-emp-not-inc,162834,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,1902,45,United-States,>50K +50,Private,177896,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,>50K +31,Private,181372,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,35,United-States,<=50K +40,Private,70645,Preschool,1,Never-married,Other-service,Not-in-family,White,Female,0,0,20,United-States,<=50K +51,Private,128272,9th,5,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +56,Private,106723,HS-grad,9,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +21,Private,122348,Some-college,10,Never-married,Tech-support,Own-child,White,Female,0,0,35,United-States,<=50K +40,Private,177905,Assoc-voc,11,Married-civ-spouse,Exec-managerial,Husband,White,Male,7688,0,44,United-States,>50K +22,Private,254547,Some-college,10,Never-married,Exec-managerial,Unmarried,Black,Female,0,0,40,Jamaica,<=50K +47,Self-emp-inc,102308,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,2415,45,United-States,>50K +44,Private,33105,HS-grad,9,Married-civ-spouse,Exec-managerial,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +30,Private,215441,Some-college,10,Never-married,Adm-clerical,Not-in-family,Other,Male,0,0,40,?,<=50K +44,Local-gov,197919,Some-college,10,Divorced,Other-service,Unmarried,White,Female,0,0,40,United-States,<=50K +41,Private,206139,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,>50K +47,Private,117849,Assoc-acdm,12,Divorced,Sales,Own-child,White,Male,0,0,44,United-States,<=50K +26,Private,323044,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,Germany,>50K +34,Private,90415,Assoc-voc,11,Never-married,Tech-support,Not-in-family,Black,Male,0,0,40,United-States,<=50K +47,Private,294913,Prof-school,15,Married-civ-spouse,Exec-managerial,Husband,White,Male,99999,0,40,United-States,>50K +36,Private,127573,HS-grad,9,Separated,Adm-clerical,Not-in-family,White,Female,0,0,38,United-States,<=50K +21,Private,180190,Assoc-voc,11,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,46,United-States,<=50K +45,State-gov,231013,Bachelors,13,Divorced,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +33,Private,356015,HS-grad,9,Separated,Craft-repair,Not-in-family,Amer-Indian-Eskimo,Male,0,0,35,Hong,<=50K +33,Private,198069,HS-grad,9,Never-married,Machine-op-inspct,Not-in-family,White,Male,0,0,65,United-States,<=50K +58,Self-emp-not-inc,99141,HS-grad,9,Divorced,Farming-fishing,Unmarried,White,Female,0,0,10,United-States,<=50K +31,Private,188246,Assoc-acdm,12,Divorced,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,>50K +32,Self-emp-not-inc,116508,Some-college,10,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,50,United-States,>50K +44,Federal-gov,38434,Bachelors,13,Widowed,Exec-managerial,Unmarried,White,Female,0,0,40,United-States,>50K +24,Private,128477,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +35,Private,91839,Bachelors,13,Married-civ-spouse,Other-service,Husband,Amer-Indian-Eskimo,Male,7688,0,20,United-States,>50K +43,Private,409922,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,50,United-States,>50K +49,Private,185041,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +37,Self-emp-not-inc,103925,Bachelors,13,Married-civ-spouse,Sales,Wife,White,Female,0,0,50,United-States,<=50K +42,Self-emp-not-inc,34037,Bachelors,13,Never-married,Farming-fishing,Own-child,White,Male,0,0,35,United-States,<=50K +31,Private,251659,Some-college,10,Married-civ-spouse,Other-service,Husband,Asian-Pac-Islander,Male,0,1485,55,?,>50K +19,Private,57145,HS-grad,9,Never-married,Other-service,Own-child,White,Female,0,0,25,United-States,<=50K +41,Private,182108,Doctorate,16,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,>50K +51,Self-emp-inc,213296,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,30,United-States,<=50K +51,Self-emp-inc,28765,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +63,Private,37792,10th,6,Widowed,Other-service,Not-in-family,White,Female,0,0,31,United-States,<=50K +39,Federal-gov,232036,Some-college,10,Married-civ-spouse,Adm-clerical,Husband,White,Male,0,0,40,United-States,>50K +30,Private,33678,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +62,Without-pay,159908,Some-college,10,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,16,United-States,<=50K +27,Private,176761,HS-grad,9,Never-married,Craft-repair,Other-relative,Other,Male,0,0,40,Nicaragua,<=50K +32,Private,260954,11th,7,Married-civ-spouse,Craft-repair,Husband,White,Male,0,2042,30,United-States,<=50K +37,Local-gov,180342,Bachelors,13,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,>50K +47,Local-gov,324791,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1887,50,United-States,>50K +31,Private,183801,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1902,43,United-States,>50K +42,Private,204235,HS-grad,9,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,249720,Assoc-voc,11,Married-spouse-absent,Sales,Unmarried,Black,Female,0,0,32,United-States,<=50K +60,Private,127084,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,2042,34,United-States,<=50K +42,Local-gov,201495,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,72,United-States,>50K +38,Private,447346,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,36,United-States,>50K +24,Private,206008,Assoc-acdm,12,Never-married,Prof-specialty,Own-child,Black,Male,0,0,20,United-States,<=50K +34,Private,286020,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,45,United-States,<=50K +20,?,99891,Some-college,10,Never-married,?,Own-child,White,Female,0,0,30,United-States,<=50K +29,Local-gov,169544,Some-college,10,Never-married,Protective-serv,Own-child,White,Male,0,0,48,United-States,<=50K +90,Private,313749,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,25,United-States,<=50K +55,Private,89182,12th,8,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,Italy,<=50K +36,Private,258102,HS-grad,9,Never-married,Handlers-cleaners,Not-in-family,White,Male,0,0,40,United-States,<=50K +49,Private,255466,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,60,United-States,<=50K +50,Private,38795,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +17,Private,311907,11th,7,Never-married,Other-service,Own-child,White,Male,0,0,25,United-States,<=50K +54,Private,171924,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +26,Private,164488,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,10,United-States,<=50K +44,Private,297991,Assoc-acdm,12,Never-married,Exec-managerial,Not-in-family,Asian-Pac-Islander,Female,0,0,50,United-States,<=50K +28,Private,478315,Bachelors,13,Never-married,Prof-specialty,Own-child,Black,Female,0,0,40,United-States,<=50K +54,Local-gov,34832,Doctorate,16,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +21,Private,67804,9th,5,Never-married,Machine-op-inspct,Own-child,Black,Male,0,0,20,United-States,<=50K +24,Private,34568,Assoc-voc,11,Never-married,Transport-moving,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,47151,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,56,United-States,<=50K +59,?,120617,Some-college,10,Never-married,?,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Private,318046,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,48,United-States,>50K +29,Private,363963,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +50,Private,92811,Bachelors,13,Married-civ-spouse,Tech-support,Husband,White,Male,0,0,40,United-States,<=50K +32,Private,33678,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,50,United-States,>50K +42,Private,66118,Some-college,10,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,40,United-States,<=50K +47,Private,160474,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,0,0,30,United-States,>50K +44,Private,159960,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +49,Private,242987,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,Columbia,<=50K +61,Private,232719,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +65,Local-gov,103153,7th-8th,4,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1411,40,United-States,<=50K +45,Local-gov,162187,HS-grad,9,Married-civ-spouse,Protective-serv,Husband,White,Male,0,0,40,United-States,>50K +59,Private,207391,HS-grad,9,Divorced,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +30,Never-worked,176673,HS-grad,9,Married-civ-spouse,?,Wife,Black,Female,0,0,40,United-States,<=50K +34,Private,356882,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +24,Private,427686,1st-4th,2,Married-civ-spouse,Handlers-cleaners,Other-relative,White,Male,0,0,40,Mexico,<=50K +42,Self-emp-inc,191196,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,1977,60,?,>50K +37,Private,377798,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,3103,0,40,United-States,>50K +36,Private,43712,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +21,?,205939,Some-college,10,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +54,Private,161691,Masters,14,Divorced,Prof-specialty,Not-in-family,White,Female,0,2559,40,United-States,>50K +34,Private,346034,12th,8,Married-spouse-absent,Handlers-cleaners,Unmarried,White,Male,0,0,35,Mexico,<=50K +41,Private,144460,Some-college,10,Divorced,Machine-op-inspct,Own-child,White,Male,0,0,40,Italy,<=50K +18,Never-worked,153663,Some-college,10,Never-married,?,Own-child,White,Male,0,0,4,United-States,<=50K +26,Private,262617,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +23,Federal-gov,173851,HS-grad,9,Never-married,Armed-Forces,Not-in-family,White,Male,0,0,8,United-States,<=50K +63,?,126540,Some-college,10,Divorced,?,Not-in-family,White,Female,0,0,5,United-States,<=50K +34,Private,117963,Bachelors,13,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,>50K +54,Private,219737,HS-grad,9,Widowed,Sales,Not-in-family,White,Female,0,0,37,United-States,<=50K +37,Private,328466,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,Mexico,<=50K +54,State-gov,138852,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +22,Local-gov,195532,Some-college,10,Never-married,Protective-serv,Other-relative,White,Female,0,0,43,United-States,<=50K +32,Private,188246,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +42,State-gov,138162,Some-college,10,Divorced,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,State-gov,110714,Some-college,10,Never-married,Other-service,Own-child,White,Female,0,0,37,United-States,<=50K +48,Private,123075,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,United-States,>50K +28,Private,330466,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,40,Hong,<=50K +31,Private,254304,10th,6,Divorced,Craft-repair,Not-in-family,White,Male,0,0,38,United-States,<=50K +28,Private,435842,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,<=50K +24,Private,118657,12th,8,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,278188,HS-grad,9,Divorced,Craft-repair,Not-in-family,White,Female,0,0,45,United-States,<=50K +26,Private,233777,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,72,Mexico,<=50K +37,Self-emp-inc,328466,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,50,United-States,>50K +24,Private,176580,5th-6th,3,Married-spouse-absent,Farming-fishing,Not-in-family,White,Male,0,0,40,Mexico,<=50K +18,?,156608,11th,7,Never-married,?,Own-child,White,Female,0,0,25,United-States,<=50K +32,Private,172415,HS-grad,9,Never-married,Other-service,Unmarried,Black,Female,0,0,40,United-States,<=50K +23,Private,194951,Bachelors,13,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,0,0,55,Ireland,<=50K +33,Local-gov,318921,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Female,0,0,35,United-States,<=50K +49,Private,189462,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +75,Self-emp-not-inc,192813,Masters,14,Widowed,Sales,Not-in-family,White,Male,0,0,45,United-States,<=50K +74,Self-emp-not-inc,199136,Bachelors,13,Widowed,Craft-repair,Not-in-family,White,Male,15831,0,8,Germany,>50K +26,Private,156805,Some-college,10,Married-civ-spouse,Machine-op-inspct,Husband,Black,Male,0,0,40,United-States,<=50K +66,?,93318,HS-grad,9,Widowed,?,Unmarried,White,Female,0,0,40,United-States,<=50K +34,Private,121966,Bachelors,13,Married-spouse-absent,Adm-clerical,Not-in-family,White,Female,0,0,45,United-States,<=50K +18,Private,347336,12th,8,Never-married,Other-service,Own-child,White,Male,0,0,12,United-States,<=50K +33,Private,205950,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +36,State-gov,212143,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +44,Private,187821,Bachelors,13,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,55,United-States,<=50K +36,Private,250807,11th,7,Never-married,Craft-repair,Not-in-family,Black,Female,0,0,40,United-States,<=50K +53,Private,291755,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +60,Private,36077,7th-8th,4,Married-spouse-absent,Machine-op-inspct,Not-in-family,White,Male,0,0,40,United-States,<=50K +28,Private,119793,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,Portugal,<=50K +36,Private,184655,10th,6,Divorced,Transport-moving,Unmarried,White,Male,0,0,48,United-States,<=50K +35,Private,162256,Assoc-voc,11,Divorced,Adm-clerical,Not-in-family,White,Female,6849,0,40,United-States,<=50K +45,Self-emp-not-inc,204405,Assoc-voc,11,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,20,United-States,<=50K +23,Private,133355,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,15,United-States,<=50K +35,Private,89559,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,55,United-States,<=50K +34,Private,115066,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,42,United-States,>50K +46,Private,139514,Preschool,1,Married-civ-spouse,Machine-op-inspct,Other-relative,Black,Male,0,0,75,Dominican-Republic,<=50K +58,State-gov,200316,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +55,Local-gov,166502,Masters,14,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,45,United-States,<=50K +63,Private,226422,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +41,Self-emp-not-inc,251305,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,190482,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,76,United-States,<=50K +41,Private,122215,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,40,United-States,>50K +42,Private,248356,HS-grad,9,Never-married,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +90,Local-gov,214594,7th-8th,4,Married-civ-spouse,Protective-serv,Husband,White,Male,2653,0,40,United-States,<=50K +41,Private,220460,HS-grad,9,Never-married,Sales,Own-child,White,Male,0,0,40,United-States,<=50K +22,Private,174043,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +53,Self-emp-not-inc,137547,Prof-school,15,Never-married,Prof-specialty,Not-in-family,Asian-Pac-Islander,Male,27828,0,40,Philippines,>50K +49,Self-emp-not-inc,111959,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,Scotland,>50K +51,Private,40641,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,60,United-States,>50K +22,Private,205940,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +23,Private,265077,Assoc-voc,11,Never-married,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +59,Private,395736,HS-grad,9,Married-civ-spouse,Handlers-cleaners,Husband,White,Male,0,0,40,United-States,>50K +40,Private,306225,HS-grad,9,Divorced,Craft-repair,Not-in-family,Asian-Pac-Islander,Female,0,0,40,Japan,<=50K +28,Private,180299,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,70,United-States,<=50K +39,Private,214896,HS-grad,9,Separated,Other-service,Not-in-family,White,Female,0,0,40,El-Salvador,<=50K +25,Private,273792,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,37,United-States,<=50K +48,State-gov,224474,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +62,Private,271431,9th,5,Married-civ-spouse,Other-service,Husband,Black,Male,0,0,42,United-States,<=50K +44,Local-gov,150171,HS-grad,9,Divorced,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +28,Federal-gov,381789,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Male,0,0,50,United-States,<=50K +62,Private,170984,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,108256,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +59,Federal-gov,23789,HS-grad,9,Married-civ-spouse,Sales,Wife,White,Female,0,0,40,United-States,>50K +20,Private,176321,Some-college,10,Never-married,Adm-clerical,Other-relative,White,Female,0,0,20,United-States,<=50K +40,Private,260425,Assoc-acdm,12,Separated,Tech-support,Unmarried,White,Female,1471,0,32,United-States,<=50K +47,Private,248059,Some-college,10,Married-civ-spouse,Other-service,Husband,White,Male,0,0,47,United-States,>50K +60,Private,56248,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +55,Private,199763,HS-grad,9,Separated,Protective-serv,Not-in-family,White,Male,0,0,81,United-States,<=50K +18,Private,200047,12th,8,Never-married,Adm-clerical,Own-child,White,Male,0,0,35,United-States,<=50K +43,Private,191712,Bachelors,13,Never-married,Adm-clerical,Not-in-family,White,Male,0,1741,40,United-States,<=50K +31,Self-emp-not-inc,156033,HS-grad,9,Divorced,Other-service,Not-in-family,White,Male,0,0,35,United-States,<=50K +22,Private,173736,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,50,United-States,<=50K +56,Private,135458,HS-grad,9,Divorced,Tech-support,Not-in-family,Black,Female,0,0,40,United-States,<=50K +41,Private,185660,HS-grad,9,Separated,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +24,Private,222005,HS-grad,9,Never-married,Other-service,Other-relative,White,Male,0,0,30,United-States,<=50K +42,Private,161510,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,7298,0,40,United-States,>50K +53,Local-gov,186303,Some-college,10,Married-civ-spouse,Protective-serv,Husband,White,Male,0,1887,40,United-States,>50K +52,Local-gov,143533,7th-8th,4,Never-married,Other-service,Other-relative,Black,Female,0,0,40,United-States,<=50K +42,Private,288154,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,89,United-States,>50K +48,Private,325372,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Portugal,<=50K +35,Private,379959,HS-grad,9,Divorced,Other-service,Not-in-family,White,Female,0,0,40,United-States,<=50K +33,Private,168387,11th,7,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +20,Private,234640,Some-college,10,Never-married,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +33,Private,232475,Some-college,10,Never-married,Sales,Own-child,White,Male,0,0,45,United-States,<=50K +30,Private,205152,Bachelors,13,Never-married,Sales,Not-in-family,White,Male,0,0,40,United-States,<=50K +31,Private,112115,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +29,Private,183854,HS-grad,9,Never-married,Sales,Not-in-family,White,Female,0,0,25,United-States,<=50K +26,Private,164386,HS-grad,9,Never-married,Craft-repair,Own-child,White,Male,0,0,48,United-States,<=50K +61,Private,149620,Some-college,10,Divorced,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +45,Private,199590,5th-6th,3,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,?,<=50K +29,Private,83742,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,45,United-States,<=50K +57,Self-emp-not-inc,65080,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,>50K +33,Private,191335,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,1902,50,United-States,>50K +20,Private,227778,Some-college,10,Never-married,Sales,Not-in-family,White,Female,0,0,56,United-States,<=50K +26,Private,48280,Bachelors,13,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Private,66304,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,55,United-States,>50K +23,Private,45834,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,50,United-States,<=50K +31,Private,298995,HS-grad,9,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,35,United-States,<=50K +47,Private,161950,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +61,Private,98776,11th,7,Widowed,Handlers-cleaners,Not-in-family,White,Female,0,0,30,United-States,<=50K +35,Private,102268,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,<=50K +23,Private,180771,1st-4th,2,Married-civ-spouse,Machine-op-inspct,Wife,Amer-Indian-Eskimo,Female,0,0,35,Mexico,<=50K +20,?,203992,HS-grad,9,Never-married,?,Own-child,White,Male,0,0,40,United-States,<=50K +41,Private,206878,HS-grad,9,Divorced,Other-service,Unmarried,White,Female,0,0,32,United-States,<=50K +39,Federal-gov,110622,Bachelors,13,Married-civ-spouse,Adm-clerical,Wife,Asian-Pac-Islander,Female,0,0,40,Philippines,<=50K +51,Local-gov,203334,Doctorate,16,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,45,United-States,>50K +61,Self-emp-not-inc,50483,7th-8th,4,Married-civ-spouse,Farming-fishing,Husband,White,Male,0,0,56,United-States,<=50K +51,Private,274502,7th-8th,4,Divorced,Machine-op-inspct,Not-in-family,White,Female,0,0,48,United-States,<=50K +36,Private,208068,Preschool,1,Divorced,Other-service,Not-in-family,Other,Male,0,0,72,Mexico,<=50K +41,Self-emp-not-inc,168098,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +34,Private,213307,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Female,7443,0,35,United-States,<=50K +25,Private,175128,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +37,Private,40955,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,>50K +19,Private,60890,HS-grad,9,Never-married,Craft-repair,Not-in-family,White,Male,0,0,49,United-States,<=50K +66,Self-emp-not-inc,102686,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,20,United-States,>50K +23,Private,190273,Bachelors,13,Never-married,Prof-specialty,Own-child,White,Male,0,0,40,United-States,<=50K +30,Self-emp-not-inc,176185,Some-college,10,Married-spouse-absent,Craft-repair,Own-child,White,Male,0,0,60,United-States,>50K +53,Private,304504,Some-college,10,Married-civ-spouse,Transport-moving,Husband,White,Male,0,1887,45,United-States,>50K +25,Private,390657,Some-college,10,Never-married,Other-service,Not-in-family,Black,Male,0,0,40,United-States,<=50K +18,Private,41381,HS-grad,9,Never-married,Sales,Own-child,White,Female,0,1602,20,United-States,<=50K +51,Private,101432,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +61,Private,190682,HS-grad,9,Widowed,Craft-repair,Not-in-family,Black,Female,0,1669,50,United-States,<=50K +53,Private,158993,HS-grad,9,Widowed,Machine-op-inspct,Unmarried,Black,Female,0,0,38,United-States,<=50K +17,Private,117798,10th,6,Never-married,Other-service,Own-child,White,Male,0,0,20,United-States,<=50K +61,Private,137554,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +44,Self-emp-inc,71556,Masters,14,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,?,>50K +38,Private,257416,9th,5,Married-civ-spouse,Transport-moving,Husband,Black,Male,0,0,40,United-States,<=50K +40,Private,195617,Some-college,10,Separated,Exec-managerial,Unmarried,White,Female,0,0,20,United-States,<=50K +32,Private,236318,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,32,United-States,<=50K +46,Private,42251,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,>50K +50,Private,257933,Some-college,10,Divorced,Adm-clerical,Not-in-family,White,Female,0,0,40,United-States,<=50K +36,Self-emp-not-inc,109133,Bachelors,13,Married-civ-spouse,Sales,Husband,White,Male,0,0,50,United-States,>50K +30,Self-emp-not-inc,261943,11th,7,Married-spouse-absent,Craft-repair,Not-in-family,White,Male,0,0,30,Honduras,<=50K +33,Private,139057,Masters,14,Married-civ-spouse,Tech-support,Husband,Asian-Pac-Islander,Male,0,0,50,United-States,>50K +36,Private,237943,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,1977,45,United-States,>50K +85,Private,98611,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,3,Poland,<=50K +62,Private,128092,HS-grad,9,Widowed,Adm-clerical,Not-in-family,White,Female,0,0,32,United-States,<=50K +24,Private,284317,Bachelors,13,Never-married,Machine-op-inspct,Not-in-family,White,Female,0,0,32,United-States,<=50K +48,Self-emp-inc,185041,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,7298,0,50,United-States,>50K +58,Local-gov,223214,HS-grad,9,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +45,Self-emp-inc,173664,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,45,United-States,>50K +66,Private,269665,HS-grad,9,Widowed,Exec-managerial,Not-in-family,White,Female,0,0,25,United-States,<=50K +37,Private,121521,Prof-school,15,Married-civ-spouse,Prof-specialty,Husband,White,Male,15024,0,45,United-States,>50K +55,Private,199713,9th,5,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,48,United-States,<=50K +39,Self-emp-not-inc,193689,HS-grad,9,Never-married,Exec-managerial,Not-in-family,White,Male,0,0,65,United-States,<=50K +58,Self-emp-inc,181974,Doctorate,16,Never-married,Prof-specialty,Not-in-family,White,Female,0,0,99,?,<=50K +50,Private,485710,Doctorate,16,Divorced,Prof-specialty,Not-in-family,White,Female,0,0,50,United-States,<=50K +28,Private,185647,Some-college,10,Divorced,Handlers-cleaners,Not-in-family,White,Male,0,0,50,United-States,<=50K +34,Private,30673,Masters,14,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,55,United-States,<=50K +41,Federal-gov,160467,Masters,14,Divorced,Prof-specialty,Unmarried,White,Female,1506,0,40,United-States,<=50K +36,Private,186819,Assoc-acdm,12,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,52,United-States,>50K +22,Private,67234,HS-grad,9,Never-married,Handlers-cleaners,Unmarried,White,Male,0,0,45,United-States,<=50K +35,Private,30673,12th,8,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,84,United-States,<=50K +49,?,114648,12th,8,Divorced,?,Other-relative,Black,Male,0,0,40,United-States,<=50K +21,Private,182117,Assoc-acdm,12,Never-married,Other-service,Own-child,White,Male,0,0,40,United-States,<=50K +64,State-gov,222966,7th-8th,4,Married-civ-spouse,Other-service,Wife,Black,Female,0,0,40,United-States,<=50K +41,Private,201495,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +52,Private,301229,Assoc-voc,11,Separated,Sales,Unmarried,White,Female,0,0,40,United-States,<=50K +32,Private,157747,Some-college,10,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +27,Private,155382,Some-college,10,Never-married,Other-service,Not-in-family,White,Female,0,0,25,United-States,<=50K +48,Private,268083,Some-college,10,Divorced,Exec-managerial,Not-in-family,White,Female,0,0,40,United-States,<=50K +28,Private,113987,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +24,Private,216984,Some-college,10,Married-civ-spouse,Other-service,Own-child,Asian-Pac-Islander,Female,0,0,35,United-States,<=50K +51,Private,177669,Some-college,10,Married-civ-spouse,Sales,Husband,White,Male,0,0,60,United-States,<=50K +32,Private,164190,Some-college,10,Never-married,Exec-managerial,Own-child,White,Male,0,0,40,United-States,<=50K +61,Private,355645,HS-grad,9,Married-civ-spouse,Sales,Husband,Black,Male,0,0,40,United-States,<=50K +60,?,134152,9th,5,Divorced,?,Not-in-family,Black,Male,0,0,35,United-States,<=50K +33,Private,63079,HS-grad,9,Divorced,Adm-clerical,Unmarried,Black,Female,0,0,40,United-States,<=50K +42,Self-emp-not-inc,217597,HS-grad,9,Divorced,Sales,Own-child,White,Male,0,0,50,?,<=50K +24,Private,381895,11th,7,Divorced,Machine-op-inspct,Unmarried,White,Female,0,0,40,United-States,<=50K +82,?,403910,HS-grad,9,Never-married,?,Not-in-family,White,Male,0,0,3,United-States,<=50K +26,Private,179010,Some-college,10,Never-married,Craft-repair,Not-in-family,White,Male,0,0,65,United-States,<=50K +18,Private,436163,11th,7,Never-married,Prof-specialty,Own-child,White,Male,0,0,20,United-States,<=50K +34,Private,321709,HS-grad,9,Never-married,Other-service,Not-in-family,White,Female,0,0,28,United-States,<=50K +57,Private,153918,HS-grad,9,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +25,Private,403788,HS-grad,9,Never-married,Craft-repair,Other-relative,Black,Male,0,0,40,United-States,<=50K +34,Private,60567,11th,7,Divorced,Transport-moving,Unmarried,White,Male,0,880,60,United-States,<=50K +71,Private,138145,9th,5,Married-civ-spouse,Other-service,Husband,White,Male,0,0,40,United-States,<=50K +35,Local-gov,79649,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,50,United-States,<=50K +47,Private,312088,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +50,Private,208630,Masters,14,Divorced,Sales,Not-in-family,White,Female,0,0,50,United-States,>50K +33,Private,182401,10th,6,Never-married,Adm-clerical,Not-in-family,Black,Male,0,0,40,United-States,<=50K +38,Private,32916,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,55,United-States,>50K +50,Private,302372,Bachelors,13,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,40,United-States,<=50K +45,Private,155093,10th,6,Divorced,Other-service,Not-in-family,Black,Female,0,0,38,Dominican-Republic,<=50K +32,Private,192965,HS-grad,9,Separated,Sales,Not-in-family,White,Female,0,0,45,United-States,<=50K +39,Private,107302,HS-grad,9,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,45,?,>50K +25,Local-gov,514716,Bachelors,13,Never-married,Adm-clerical,Own-child,Black,Female,0,0,40,United-States,<=50K +20,Private,270436,HS-grad,9,Never-married,Machine-op-inspct,Own-child,White,Male,0,0,40,United-States,<=50K +46,Private,42972,Masters,14,Married-civ-spouse,Prof-specialty,Wife,White,Female,0,0,22,United-States,>50K +40,Private,142657,Assoc-voc,11,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,45,United-States,<=50K +66,Federal-gov,47358,10th,6,Married-civ-spouse,Craft-repair,Husband,White,Male,3471,0,40,United-States,<=50K +30,Private,176175,Assoc-voc,11,Divorced,Adm-clerical,Unmarried,White,Female,0,0,24,United-States,<=50K +36,Private,131459,7th-8th,4,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,40,United-States,<=50K +57,Local-gov,110417,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,White,Male,99999,0,40,United-States,>50K +46,Private,364548,Some-college,10,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,48,United-States,>50K +27,Private,177398,HS-grad,9,Never-married,Other-service,Unmarried,White,Female,0,0,64,United-States,<=50K +33,Private,273243,HS-grad,9,Married-civ-spouse,Craft-repair,Husband,Black,Male,0,0,40,United-States,<=50K +58,Private,147707,11th,7,Married-civ-spouse,Sales,Husband,White,Male,0,0,40,United-States,<=50K +30,Private,77266,HS-grad,9,Divorced,Transport-moving,Not-in-family,White,Male,0,0,55,United-States,<=50K +26,Private,191648,Assoc-acdm,12,Never-married,Machine-op-inspct,Other-relative,White,Female,0,0,15,United-States,<=50K +81,?,120478,Assoc-voc,11,Divorced,?,Unmarried,White,Female,0,0,1,?,<=50K +32,Private,211349,10th,6,Married-civ-spouse,Transport-moving,Husband,White,Male,0,0,40,United-States,<=50K +22,Private,203715,Some-college,10,Never-married,Adm-clerical,Own-child,White,Male,0,0,40,United-States,<=50K +31,Private,292592,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Wife,White,Female,0,0,40,United-States,<=50K +29,Private,125976,HS-grad,9,Separated,Sales,Unmarried,White,Female,0,0,35,United-States,<=50K +35,?,320084,Bachelors,13,Married-civ-spouse,?,Wife,White,Female,0,0,55,United-States,>50K +30,?,33811,Bachelors,13,Never-married,?,Not-in-family,Asian-Pac-Islander,Female,0,0,99,United-States,<=50K +34,Private,204461,Doctorate,16,Married-civ-spouse,Prof-specialty,Husband,White,Male,0,0,60,United-States,>50K +54,Private,337992,Bachelors,13,Married-civ-spouse,Exec-managerial,Husband,Asian-Pac-Islander,Male,0,0,50,Japan,>50K +37,Private,179137,Some-college,10,Divorced,Adm-clerical,Unmarried,White,Female,0,0,39,United-States,<=50K +22,Private,325033,12th,8,Never-married,Protective-serv,Own-child,Black,Male,0,0,35,United-States,<=50K +34,Private,160216,Bachelors,13,Never-married,Exec-managerial,Not-in-family,White,Female,0,0,55,United-States,>50K +30,Private,345898,HS-grad,9,Never-married,Craft-repair,Not-in-family,Black,Male,0,0,46,United-States,<=50K +38,Private,139180,Bachelors,13,Divorced,Prof-specialty,Unmarried,Black,Female,15020,0,45,United-States,>50K +71,?,287372,Doctorate,16,Married-civ-spouse,?,Husband,White,Male,0,0,10,United-States,>50K +45,State-gov,252208,HS-grad,9,Separated,Adm-clerical,Own-child,White,Female,0,0,40,United-States,<=50K +41,?,202822,HS-grad,9,Separated,?,Not-in-family,Black,Female,0,0,32,United-States,<=50K +72,?,129912,HS-grad,9,Married-civ-spouse,?,Husband,White,Male,0,0,25,United-States,<=50K +45,Local-gov,119199,Assoc-acdm,12,Divorced,Prof-specialty,Unmarried,White,Female,0,0,48,United-States,<=50K +31,Private,199655,Masters,14,Divorced,Other-service,Not-in-family,Other,Female,0,0,30,United-States,<=50K +39,Local-gov,111499,Assoc-acdm,12,Married-civ-spouse,Adm-clerical,Wife,White,Female,0,0,20,United-States,>50K +37,Private,198216,Assoc-acdm,12,Divorced,Tech-support,Not-in-family,White,Female,0,0,40,United-States,<=50K +43,Private,260761,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,Mexico,<=50K +65,Self-emp-not-inc,99359,Prof-school,15,Never-married,Prof-specialty,Not-in-family,White,Male,1086,0,60,United-States,<=50K +43,State-gov,255835,Some-college,10,Divorced,Adm-clerical,Other-relative,White,Female,0,0,40,United-States,<=50K +43,Self-emp-not-inc,27242,Some-college,10,Married-civ-spouse,Craft-repair,Husband,White,Male,0,0,50,United-States,<=50K +32,Private,34066,10th,6,Married-civ-spouse,Handlers-cleaners,Husband,Amer-Indian-Eskimo,Male,0,0,40,United-States,<=50K +43,Private,84661,Assoc-voc,11,Married-civ-spouse,Sales,Husband,White,Male,0,0,45,United-States,<=50K +32,Private,116138,Masters,14,Never-married,Tech-support,Not-in-family,Asian-Pac-Islander,Male,0,0,11,Taiwan,<=50K +53,Private,321865,Masters,14,Married-civ-spouse,Exec-managerial,Husband,White,Male,0,0,40,United-States,>50K +22,Private,310152,Some-college,10,Never-married,Protective-serv,Not-in-family,White,Male,0,0,40,United-States,<=50K +27,Private,257302,Assoc-acdm,12,Married-civ-spouse,Tech-support,Wife,White,Female,0,0,38,United-States,<=50K +40,Private,154374,HS-grad,9,Married-civ-spouse,Machine-op-inspct,Husband,White,Male,0,0,40,United-States,>50K +58,Private,151910,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K +22,Private,201490,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K +52,Self-emp-inc,287927,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K diff --git a/data/baseline_german.csv b/data/baseline_german.csv new file mode 100644 index 0000000..53c369f --- /dev/null +++ b/data/baseline_german.csv @@ -0,0 +1,1001 @@ 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Title: German Credit data + +2. Source Information + +Professor Dr. Hans Hofmann +Institut f"ur Statistik und "Okonometrie +Universit"at Hamburg +FB Wirtschaftswissenschaften +Von-Melle-Park 5 +2000 Hamburg 13 + +3. Number of Instances: 1000 + +Two datasets are provided. the original dataset, in the form provided +by Prof. Hofmann, contains categorical/symbolic attributes and +is in the file "german.data". + +For algorithms that need numerical attributes, Strathclyde University +produced the file "german.data-numeric". This file has been edited +and several indicator variables added to make it suitable for +algorithms which cannot cope with categorical variables. Several +attributes that are ordered categorical (such as attribute 17) have +been coded as integer. This was the form used by StatLog. + + +6. Number of Attributes german: 20 (7 numerical, 13 categorical) + Number of Attributes german.numer: 24 (24 numerical) + + +7. Attribute description for german + +Attribute 1: (qualitative) + Status of existing checking account + A11 : ... < 0 DM + A12 : 0 <= ... < 200 DM + A13 : ... >= 200 DM / + salary assignments for at least 1 year + A14 : no checking account + +Attribute 2: (numerical) + Duration in month + +Attribute 3: (qualitative) + Credit history + A30 : no credits taken/ + all credits paid back duly + A31 : all credits at this bank paid back duly + A32 : existing credits paid back duly till now + A33 : delay in paying off in the past + A34 : critical account/ + other credits existing (not at this bank) + +Attribute 4: (qualitative) + Purpose + A40 : car (new) + A41 : car (used) + A42 : furniture/equipment + A43 : radio/television + A44 : domestic appliances + A45 : repairs + A46 : education + A47 : (vacation - does not exist?) + A48 : retraining + A49 : business + A410 : others + +Attribute 5: (numerical) + Credit amount + +Attibute 6: (qualitative) + Savings account/bonds + A61 : ... < 100 DM + A62 : 100 <= ... < 500 DM + A63 : 500 <= ... < 1000 DM + A64 : .. >= 1000 DM + A65 : unknown/ no savings account + +Attribute 7: (qualitative) + Present employment since + A71 : unemployed + A72 : ... < 1 year + A73 : 1 <= ... < 4 years + A74 : 4 <= ... < 7 years + A75 : .. >= 7 years + +Attribute 8: (numerical) + Installment rate in percentage of disposable income + +Attribute 9: (qualitative) + Personal status and sex + A91 : male : divorced/separated + A92 : female : divorced/separated/married + A93 : male : single + A94 : male : married/widowed + A95 : female : single + +Attribute 10: (qualitative) + Other debtors / guarantors + A101 : none + A102 : co-applicant + A103 : guarantor + +Attribute 11: (numerical) + Present residence since + +Attribute 12: (qualitative) + Property + A121 : real estate + A122 : if not A121 : building society savings agreement/ + life insurance + A123 : if not A121/A122 : car or other, not in attribute 6 + A124 : unknown / no property + +Attribute 13: (numerical) + Age in years + +Attribute 14: (qualitative) + Other installment plans + A141 : bank + A142 : stores + A143 : none + +Attribute 15: (qualitative) + Housing + A151 : rent + A152 : own + A153 : for free + +Attribute 16: (numerical) + Number of existing credits at this bank + +Attribute 17: (qualitative) + Job + A171 : unemployed/ unskilled - non-resident + A172 : unskilled - resident + A173 : skilled employee / official + A174 : management/ self-employed/ + highly qualified employee/ officer + +Attribute 18: (numerical) + Number of people being liable to provide maintenance for + +Attribute 19: (qualitative) + Telephone + A191 : none + A192 : yes, registered under the customers name + +Attribute 20: (qualitative) + foreign worker + A201 : yes + A202 : no + + + +8. Cost Matrix + +This dataset requires use of a cost matrix (see below) + + + 1 2 +---------------------------- + 1 0 1 +----------------------- + 2 5 0 + +(1 = Good, 2 = Bad) + +the rows represent the actual classification and the columns +the predicted classification. + +It is worse to class a customer as good when they are bad (5), +than it is to class a customer as bad when they are good (1). + + + diff --git a/data/baseline_propublica-recidivism.csv b/data/baseline_propublica-recidivism.csv new file mode 100644 index 0000000..d5c382e --- /dev/null +++ b/data/baseline_propublica-recidivism.csv @@ -0,0 +1,7215 @@ +id,name,first,last,compas_screening_date,sex,dob,age,age_cat,race,juv_fel_count,decile_score,juv_misd_count,juv_other_count,priors_count,days_b_screening_arrest,c_jail_in,c_jail_out,c_case_number,c_offense_date,c_arrest_date,c_days_from_compas,c_charge_degree,c_charge_desc,is_recid,r_case_number,r_charge_degree,r_days_from_arrest,r_offense_date,r_charge_desc,r_jail_in,r_jail_out,violent_recid,is_violent_recid,vr_case_number,vr_charge_degree,vr_offense_date,vr_charge_desc,type_of_assessment,decile_score,score_text,screening_date,v_type_of_assessment,v_decile_score,v_score_text,v_screening_date,in_custody,out_custody,priors_count,start,end,event,two_year_recid +1,miguel hernandez,miguel,hernandez,2013-08-14,Male,1947-04-18,69,Greater than 45,Other,0,1,0,0,0,-1,2013-08-13 06:03:42,2013-08-14 05:41:20,13011352CF10A,2013-08-13,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-14,Risk of Violence,1,Low,2013-08-14,2014-07-07,2014-07-14,0,0,327,0,0 +3,kevon dixon,kevon,dixon,2013-01-27,Male,1982-01-22,34,25 - 45,African-American,0,3,0,0,0,-1,2013-01-26 03:45:27,2013-02-05 05:36:53,13001275CF10A,2013-01-26,,1,F,Felony Battery w/Prior Convict,1,13009779CF10A,(F3),,2013-07-05,Felony Battery (Dom Strang),,,,1,13009779CF10A,(F3),2013-07-05,Felony Battery (Dom Strang),Risk of Recidivism,3,Low,2013-01-27,Risk of Violence,1,Low,2013-01-27,2013-01-26,2013-02-05,0,9,159,1,1 +4,ed philo,ed,philo,2013-04-14,Male,1991-05-14,24,Less than 25,African-American,0,4,0,1,4,-1,2013-04-13 04:58:34,2013-04-14 07:02:04,13005330CF10A,2013-04-13,,1,F,Possession of Cocaine,1,13011511MM10A,(M1),0,2013-06-16,Driving Under The Influence,2013-06-16,2013-06-16,,0,,,,,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,3,Low,2013-04-14,2013-06-16,2013-06-16,4,0,63,0,1 +5,marcu brown,marcu,brown,2013-01-13,Male,1993-01-21,23,Less than 25,African-American,0,8,1,0,1,,,,13000570CF10A,2013-01-12,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-13,Risk of Violence,6,Medium,2013-01-13,,,1,0,1174,0,0 +6,bouthy pierrelouis,bouthy,pierrelouis,2013-03-26,Male,1973-01-22,43,25 - 45,Other,0,1,0,0,2,,,,12014130CF10A,,2013-01-09,76,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-26,Risk of Violence,1,Low,2013-03-26,,,2,0,1102,0,0 +7,marsha miles,marsha,miles,2013-11-30,Male,1971-08-22,44,25 - 45,Other,0,1,0,0,0,0,2013-11-30 04:50:18,2013-12-01 12:28:56,13022355MM10A,2013-11-30,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-30,Risk of Violence,1,Low,2013-11-30,2013-11-30,2013-12-01,0,1,853,0,0 +8,edward riddle,edward,riddle,2014-02-19,Male,1974-07-23,41,25 - 45,Caucasian,0,6,0,0,14,-1,2014-02-18 05:08:24,2014-02-24 12:18:30,14002304CF10A,2014-02-18,,1,F,Possession Burglary Tools,1,14004485CF10A,(F2),0,2014-03-31,Poss of Firearm by Convic Felo,2014-03-31,2014-04-18,,0,,,,,Risk of Recidivism,6,Medium,2014-02-19,Risk of Violence,2,Low,2014-02-19,2014-03-31,2014-04-18,14,5,40,1,1 +9,steven stewart,steven,stewart,2013-08-30,Male,1973-02-25,43,25 - 45,Other,0,4,0,0,3,-1,2013-08-29 08:55:23,2013-08-30 08:42:13,13012216CF10A,,2013-08-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-30,Risk of Violence,3,Low,2013-08-30,2014-05-22,2014-06-03,3,0,265,0,0 +10,elizabeth thieme,elizabeth,thieme,2014-03-16,Female,1976-06-03,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-15 05:35:34,2014-03-18 04:28:46,14004524MM10A,2014-03-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-18,0,2,747,0,0 +13,bo bradac,bo,bradac,2013-11-04,Male,1994-06-10,21,Less than 25,Caucasian,0,3,0,0,1,428,2015-01-06 03:55:34,2015-01-07 03:38:44,13000017CF10A,2012-12-31,,308,F,Insurance Fraud,1,15002891MM10A,(M1),0,2015-01-06,Battery,2015-01-06,2015-01-07,,1,15000258CF10A,(F2),2015-01-06,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,3,Low,2013-11-04,Risk of Violence,5,Medium,2013-11-04,2015-01-06,2015-01-07,1,0,428,1,1 +14,benjamin franc,benjamin,franc,2013-11-26,Male,1988-06-01,27,25 - 45,Caucasian,0,4,0,0,0,-1,2013-11-25 06:31:06,2013-11-26 08:26:57,13016402CF10A,2013-11-25,,1,F,"Poss 3,4 MDMA (Ecstasy)",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-26,Risk of Violence,4,Low,2013-11-26,2013-11-25,2013-11-26,0,0,857,0,0 +15,ellyaher lanza,ellyaher,lanza,2013-10-03,Male,1992-08-18,23,Less than 25,African-American,0,6,0,0,3,0,2013-10-03 04:07:35,2013-10-07 08:17:30,13018837MM10A,2013-10-03,,0,M,Battery,1,14010414TC40A,(M2),,2014-02-08,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-03,Risk of Violence,4,Low,2013-10-03,2013-10-03,2013-10-07,3,4,128,1,1 +16,kortney coleman,kortney,coleman,2013-01-01,Female,1978-08-22,37,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-01 03:28:03,2013-01-02 01:12:19,13000053MM10A,2013-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-01,Risk of Violence,1,Low,2013-01-01,2013-01-01,2013-01-02,0,1,1186,0,0 +18,jarrod turbe,jarrod,turbe,2013-10-09,Male,1974-12-02,41,25 - 45,African-American,0,4,0,0,0,-1,2013-10-08 11:53:09,2013-10-09 02:16:51,13014121CF10A,2013-10-08,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-09,Risk of Violence,2,Low,2013-10-09,2013-10-08,2013-10-09,0,0,905,0,0 +19,craig gilbert,craig,gilbert,2013-10-30,Female,1968-06-14,47,Greater than 45,Caucasian,0,1,0,0,1,-20,2013-10-10 05:12:58,2013-10-24 11:30:00,12000212CF10A,,2012-06-27,490,F,arrest case no charge,1,14007704CF10A,(F3),0,2014-06-03,Grand Theft (Motor Vehicle),2014-06-03,2014-11-19,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2014-06-03,2014-11-19,1,0,216,1,1 +20,samuel seraphin,samuel,seraphin,2014-06-03,Male,1985-03-25,31,25 - 45,African-American,0,3,0,0,7,22,2014-06-25 02:15:57,2014-06-28 05:02:21,14004186CF10A,2014-03-24,,71,F,Felony Driving While Lic Suspd,1,14009921MM10A,(M1),0,2014-06-25,Criminal Mischief>$200<$1000,2014-06-25,2014-06-28,,0,,,,,Risk of Recidivism,3,Low,2014-06-03,Risk of Violence,2,Low,2014-06-03,2014-06-25,2014-06-28,7,0,22,1,1 +21,mario hernandez,mario,hernandez,2014-03-24,Male,1979-01-25,37,25 - 45,Hispanic,0,1,0,0,0,0,2014-03-24 03:20:57,2014-03-24 09:09:10,14005100MM10A,2014-03-24,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-24,Risk of Violence,1,Low,2014-03-24,2014-03-24,2014-03-24,0,0,739,0,0 +22,darrious davis,darrious,davis,2013-12-22,Male,1990-06-22,25,25 - 45,African-American,0,10,0,0,3,-1,2013-12-21 05:42:02,2013-12-22 09:11:18,13017598CF10A,2013-12-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-22,Risk of Violence,9,High,2013-12-22,2015-03-30,2015-05-31,3,0,463,0,0 +23,neil heckart,neil,heckart,2013-11-17,Male,1984-12-24,31,25 - 45,Caucasian,0,5,0,0,6,-1,2013-11-16 07:12:12,2013-11-17 08:28:54,13015941CF10A,2013-11-16,,1,F,Driving While License Revoked,1,14010409CF10A,(F3),,2014-07-16,Grand Theft in the 3rd Degree,,,,1,14010409CF10A,(F1),2014-07-16,Kidnapping (Facilitate Felony),Risk of Recidivism,5,Medium,2013-11-17,Risk of Violence,4,Low,2013-11-17,2013-11-16,2013-11-17,6,0,241,1,1 +24,michael lux,michael,lux,2014-11-15,Male,1985-01-08,31,25 - 45,Caucasian,0,3,0,0,5,-1,2014-11-14 01:37:05,2014-11-15 04:57:04,14015346CF10A,2014-11-14,,1,F,Possession Of Heroin,1,15005595CF10A,(F3),1,2015-04-27,Possession of Cocaine,2015-04-28,2015-06-01,,0,,,,,Risk of Recidivism,3,Low,2014-11-15,Risk of Violence,2,Low,2014-11-15,2016-02-16,2016-03-18,5,0,163,1,1 +25,columbus wilson,columbus,wilson,2014-05-02,Male,1951-06-28,64,Greater than 45,African-American,0,6,0,0,13,-1,2014-05-01 06:49:08,2014-05-02 09:28:02,14006083CF10A,,2014-05-01,1,F,arrest case no charge,1,14006189CF10A,(F2),0,2014-05-03,Poss Cocaine/Intent To Del/Sel,2014-05-03,2014-05-04,,0,,,,,Risk of Recidivism,6,Medium,2014-05-02,Risk of Violence,3,Low,2014-05-02,2014-05-03,2014-05-04,13,0,1,1,1 +26,vandivuiet williams,vandivuiet,williams,2013-04-18,Male,1994-11-29,21,Less than 25,African-American,0,9,0,0,1,-1,2013-04-17 01:40:58,2013-04-20 04:19:42,13005492CF10A,2013-04-17,,1,F,Battery on Law Enforc Officer,1,13009581MM10A,(M2),0,2013-05-18,Prowling/Loitering,2013-05-18,2013-05-19,,0,,,,,Risk of Recidivism,9,High,2013-04-18,Risk of Violence,9,High,2013-04-18,2013-05-18,2013-05-19,1,2,30,1,1 +27,nelson avalo,nelson,avalo,2014-10-16,Male,1988-08-06,27,25 - 45,Caucasian,0,2,0,0,0,0,2014-10-16 05:43:29,2014-10-16 12:40:42,14013962CF10A,2014-10-16,,0,M,Possession Of Methamphetamine,1,15003574TC30A,(M2),,2015-01-05,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2014-10-16,Risk of Violence,3,Low,2014-10-16,2014-10-16,2014-10-16,0,0,81,1,1 +28,janel denicola,janel,denicola,2013-11-22,Female,1995-03-22,21,Less than 25,Caucasian,0,4,0,0,0,-2,2013-11-20 04:12:09,2013-11-21 07:53:21,13016112CF10A,2013-11-20,,2,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-22,Risk of Violence,5,Medium,2013-11-22,2013-11-20,2013-11-21,0,0,861,0,0 +30,dominic pabon,dominic,pabon,2013-02-08,Male,1992-01-23,24,Less than 25,Hispanic,0,4,0,0,1,0,2013-02-08 04:50:02,2013-02-09 04:43:17,13001998CF10A,2013-02-07,,1,F,Lewd/Lasc Battery Pers 12+/<16,1,14001650MM40A,(M1),,2014-03-26,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-08,Risk of Violence,5,Medium,2013-02-08,2013-02-08,2013-02-09,1,1,411,1,1 +32,russell sottile,russell,sottile,2013-01-25,Male,1973-01-10,43,25 - 45,Caucasian,0,1,0,0,1,-1,2013-01-24 03:43:22,2013-01-25 09:12:10,13003773TC10A,2013-01-24,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-25,Risk of Violence,2,Low,2013-01-25,2013-01-24,2013-01-25,1,0,1162,0,0 +33,andre ashley,andre,ashley,2013-05-11,Male,1983-08-24,32,25 - 45,Other,0,3,0,0,0,-1,2013-05-10 08:38:16,2013-05-12 03:33:36,13009088MM10A,2013-05-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-11,Risk of Violence,4,Low,2013-05-11,2013-05-10,2013-05-12,0,1,1056,0,0 +37,deandrae counts,deandrae,counts,2013-05-06,Male,1989-02-08,27,25 - 45,African-American,0,3,0,0,8,-1,2013-05-05 09:07:10,2013-05-22 09:08:22,13006419CF10A,2013-05-05,,1,F,Carrying Concealed Firearm,1,14001039TC10A,(M2),,2013-11-06,Driving License Suspended,,,,1,15002479CF10A,(F3),2015-02-23,Felony Battery,Risk of Recidivism,3,Low,2013-05-06,Risk of Violence,3,Low,2013-05-06,2013-08-30,2013-08-31,8,16,116,0,1 +38,victoria soltau,victoria,soltau,2013-03-18,Female,1979-09-03,36,25 - 45,Caucasian,0,3,0,0,3,53,2013-05-10 11:15:09,2013-05-11 07:01:59,12018170CF10A,,2012-12-13,95,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-05-10,2013-05-11,3,0,53,0,0 +39,najee sapp,najee,sapp,2013-02-20,Male,1989-04-27,26,25 - 45,African-American,0,7,0,1,5,-1,2013-02-19 07:47:55,2013-02-20 06:33:11,13002542CF10A,2013-02-19,,1,F,Pos Cannabis W/Intent Sel/Del,1,14011400MM10A,(M1),0,2014-07-26,Possess Cannabis/20 Grams Or Less,2014-07-26,2014-08-22,,0,,,,,Risk of Recidivism,7,Medium,2013-02-20,Risk of Violence,7,Medium,2013-02-20,2014-03-18,2014-03-26,5,0,391,0,1 +40,victor moreno,victor,moreno,2014-10-24,Male,1983-02-03,33,25 - 45,African-American,0,10,0,0,0,0,2014-10-24 12:50:50,2014-12-01 07:49:53,14014284CF10A,2014-10-23,,1,F,Tampering With Physical Evidence,1,15010523CF10A,(F3),,2015-08-15,False Imprisonment,,,,1,15010523CF10A,(M1),2015-08-15,Battery,Risk of Recidivism,10,High,2014-10-24,Risk of Violence,6,Medium,2014-10-24,2015-05-27,2015-06-17,0,38,215,0,1 +41,william pirkle,william,pirkle,2013-01-28,Male,1985-10-17,30,25 - 45,Caucasian,0,9,0,0,9,0,2013-01-28 02:28:42,2013-03-13 07:32:52,13001372CF10A,2013-01-28,,0,F,Felony Battery w/Prior Convict,1,13009605CF10A,(F3),0,2013-07-09,Grand Theft (Motor Vehicle),2013-07-09,2013-07-10,,0,,,,,Risk of Recidivism,9,High,2013-01-28,Risk of Violence,10,High,2013-01-28,2013-07-09,2013-07-10,9,44,162,1,1 +42,maslin brutus,maslin,brutus,2014-11-15,Male,1984-03-16,32,25 - 45,African-American,0,8,0,0,4,-1,2014-11-14 03:07:02,2014-11-15 04:56:55,14015347CF10A,2014-11-14,,1,F,Att Tamper w/Physical Evidence,1,14015680CF10A,(M1),1,2014-11-21,Resist/Obstruct W/O Violence,2014-11-22,2014-11-24,,0,,,,,Risk of Recidivism,8,High,2014-11-15,Risk of Violence,3,Low,2014-11-15,2014-11-22,2014-11-24,4,0,6,1,1 +45,mark friedland,mark,friedland,2013-12-30,Male,1960-07-27,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-29 06:37:02,2013-12-31 10:29:24,13017946CF10A,,2013-12-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2013-12-29,2013-12-31,0,1,823,0,0 +50,maurice watson,maurice,watson,2013-04-04,Male,1966-07-27,49,Greater than 45,Other,0,3,0,0,7,-1,2013-04-03 04:47:14,2013-04-07 02:54:34,13004763CF10A,2013-04-04,,0,F,Agg Fleeing and Eluding,1,15000545MM20A,(M1),,2015-01-23,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,2,Low,2013-04-04,2014-08-19,2014-08-20,7,3,502,0,1 +51,kurt fowks,kurt,fowks,2013-04-09,Male,1990-02-11,26,25 - 45,Caucasian,0,8,0,2,6,81,2013-06-29 06:05:49,2013-07-11 09:02:10,12022229TC10A,2012-03-23,,382,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-09,Risk of Violence,8,High,2013-04-09,2013-06-29,2013-07-11,6,0,81,0,0 +52,michael tritsch,michael,tritsch,2013-12-03,Female,1983-02-02,33,25 - 45,Caucasian,0,5,0,0,4,-1,2013-12-02 01:48:34,2013-12-13 05:25:42,13022426MM10A,2013-12-02,,1,M,Battery,1,14012292CF10A,(F3),57,2014-07-14,Grand Theft in the 3rd Degree,2014-09-09,2014-09-10,,0,,,,,Risk of Recidivism,5,Medium,2013-12-03,Risk of Violence,2,Low,2013-12-03,2013-12-02,2013-12-13,4,10,223,1,1 +53,brooks nunez,brooks,nunez,2013-09-15,Male,1991-05-14,24,Less than 25,Caucasian,0,2,0,0,1,0,2013-09-15 03:47:52,2013-09-16 06:50:10,13017557MM10A,2013-09-15,,0,M,Battery,1,14006651CF10A,(F3),0,2014-05-13,Possession of Cannabis,2014-05-13,2014-05-16,,0,,,,,Risk of Recidivism,2,Low,2013-09-15,Risk of Violence,3,Low,2013-09-15,2014-05-13,2014-05-16,1,1,240,1,1 +54,walter atwell,walter,atwell,2013-01-11,Male,1981-06-01,34,25 - 45,African-American,2,9,1,3,21,0,2013-01-11 02:19:35,2013-02-13 09:33:11,13000496CF10A,2013-01-11,,0,F,Poss Wep Conv Felon,1,14009119MM10A,(M1),0,2014-06-09,Unlaw Use False Name/Identity,2014-06-09,2014-12-04,,0,,,,,Risk of Recidivism,9,High,2013-01-11,Risk of Violence,6,Medium,2013-01-11,2014-06-09,2014-12-04,21,33,514,1,1 +55,darling madrano,darling,madrano,2013-01-16,Male,1987-04-10,29,25 - 45,Caucasian,0,2,0,0,0,0,2013-01-16 12:44:00,2013-01-16 06:49:32,13000997MM10A,2013-01-15,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,2,Low,2013-01-16,2013-01-16,2013-01-16,0,0,1171,0,0 +56,kiante slocum,kiante,slocum,2013-08-24,Female,1994-08-17,21,Less than 25,African-American,0,8,0,0,2,-1,2013-08-23 10:37:03,2013-11-11 04:30:55,13011710CF10A,,2013-08-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-24,Risk of Violence,8,High,2013-08-24,2015-01-30,2015-01-31,2,79,524,0,0 +57,porfirio zamot,porfirio,zamot,2013-02-28,Male,1964-11-24,51,Greater than 45,African-American,0,1,0,0,2,-1,2013-02-27 04:44:18,2013-02-28 08:01:39,13004096MM10A,2013-02-27,,1,M,Unlaw Use False Name/Identity,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-28,Risk of Violence,1,Low,2013-02-28,2013-02-27,2013-02-28,2,0,1128,0,0 +59,moises miranda,moises,miranda,2014-04-06,Male,1986-06-27,29,25 - 45,Caucasian,0,2,0,0,2,-1,2014-04-05 08:45:01,2014-04-06 01:46:41,14005804MM10A,2014-04-05,,1,M,Viol Injunct Domestic Violence,1,14009508MM10A,(M1),0,2014-06-17,Viol Pretrial Release Dom Viol,2014-06-17,2014-06-18,,0,,,,,Risk of Recidivism,2,Low,2014-04-06,Risk of Violence,2,Low,2014-04-06,2014-06-17,2014-06-18,2,0,72,1,1 +61,brenda plummer,brenda,plummer,2013-02-14,Female,1964-11-11,51,Greater than 45,African-American,0,2,0,0,7,-1,2013-02-13 09:29:56,2013-02-15 01:35:37,13002244CF10A,2013-02-13,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-14,Risk of Violence,2,Low,2013-02-14,2014-07-28,2014-08-05,7,1,529,0,0 +64,derrick mims,derrick,mims,2014-03-03,Male,1987-03-03,29,25 - 45,African-American,0,7,0,0,0,0,2014-03-03 04:28:58,2014-03-03 09:10:41,14003004CF10A,2014-03-03,,0,F,Defrauding Innkeeper $300/More,1,14007343MM10A,(M1),1,2014-05-03,Viol Injunct Domestic Violence,2014-05-04,2014-06-09,,0,,,,,Risk of Recidivism,7,Medium,2014-03-03,Risk of Violence,2,Low,2014-03-03,2014-09-04,2014-10-02,0,0,61,1,1 +66,jeffery dowdy,jeffery,dowdy,2014-03-28,Male,1990-05-28,25,25 - 45,Caucasian,0,10,0,0,9,-1,2014-03-27 10:17:55,2014-04-03 09:27:42,14005313MM10A,2014-03-27,,1,M,Battery,1,14004719CF10A,(F2),0,2014-04-05,Agg Battery Grt/Bod/Harm,2014-04-05,2014-04-14,,1,14004719CF10A,(F2),2014-04-05,Agg Battery Grt/Bod/Harm,Risk of Recidivism,10,High,2014-03-28,Risk of Violence,9,High,2014-03-28,2014-04-05,2014-04-14,9,6,8,1,1 +67,eddie jones,eddie,jones,2014-05-19,Male,1981-01-19,35,25 - 45,African-American,1,8,0,4,13,-1,2014-05-18 04:05:09,2014-05-19 01:47:37,14006899CF10A,2014-05-18,,1,F,Uttering a Forged Instrument,1,14008544MO10A,(MO3),0,2014-05-28,DOC/Fighting/Threatening Words,2014-05-28,2014-05-29,,1,14008544MO10A,(MO3),2014-05-28,DOC/Fighting/Threatening Words,Risk of Recidivism,8,High,2014-05-19,Risk of Violence,3,Low,2014-05-19,2014-05-28,2014-05-29,13,0,9,1,1 +68,michael harper,michael,harper,2013-08-02,Male,1967-02-19,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-08-02 04:43:01,2013-08-02 08:31:32,13014548MM10A,2013-08-02,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2013-08-02,2013-08-02,0,0,973,0,0 +69,anthony bennett,anthony,bennett,2014-12-26,Male,1982-02-27,34,25 - 45,African-American,0,3,0,0,4,-59,2014-10-28 04:07:03,2014-12-18 09:54:29,14075628TC20A,2014-10-28,,59,M,Driving License Suspended,1,15051590TC20A,(M2),,2015-09-09,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,3,Low,2014-12-26,Risk of Violence,2,Low,2014-12-26,2014-10-28,2014-12-18,4,0,257,1,1 +70,jeffrey pierre,jeffrey,pierre,2013-04-24,Male,1986-10-06,29,25 - 45,African-American,0,4,0,0,0,0,2013-04-24 04:28:24,2013-04-24 08:20:12,13005888CF10A,2013-04-23,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-24,Risk of Violence,3,Low,2013-04-24,2013-04-24,2013-04-24,0,0,1073,0,0 +71,joseph martorano,joseph,martorano,2013-06-03,Male,1986-07-30,29,25 - 45,Caucasian,0,2,0,0,1,-24,2013-05-10 05:18:38,2013-05-10 07:43:04,13006726CF10A,2013-05-10,,24,F,Possession of Oxycodone,1,14029973MU10A,(M1),0,2014-08-18,Driving Under The Influence,2014-08-18,2014-08-18,,0,,,,,Risk of Recidivism,2,Low,2013-06-03,Risk of Violence,2,Low,2013-06-03,2014-08-18,2014-08-18,1,0,441,0,1 +72,shinell baxterskeffrey,shinell,baxterskeffrey,2013-11-18,Female,1987-09-29,28,25 - 45,Other,0,2,0,0,0,-1,2013-11-17 09:43:17,2013-11-18 08:03:35,13015965CF10A,2013-11-17,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-18,Risk of Violence,2,Low,2013-11-18,2013-11-17,2013-11-18,0,0,865,0,0 +75,elliott knauff,elliott,knauff,2013-05-02,Male,1967-05-01,48,Greater than 45,Caucasian,0,6,0,0,20,302,2014-02-28 11:19:21,2014-03-11 02:46:41,11010574CF10A,,2011-10-18,562,F,arrest case no charge,1,14000740MM20A,(M2),,2014-02-01,Trespass Struct/Conveyance,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-02,Risk of Violence,4,Low,2013-05-02,2014-09-09,2020-01-01,20,0,275,1,1 +77,graciela quevedo,graciela,quevedo,2014-01-22,Female,1952-08-15,63,Greater than 45,Hispanic,0,1,0,0,1,-219,2013-06-17 04:04:07,2013-06-25 08:31:09,13007023CF10A,,2013-06-17,219,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2013-06-17,2013-06-25,1,0,800,0,0 +79,mackenson nelson,mackenson,nelson,2013-03-18,Male,1984-09-24,31,25 - 45,African-American,0,5,0,1,15,-1,2013-03-17 09:02:33,2013-07-31 08:23:26,13003864CF10A,2013-03-17,,1,F,Attempt Armed Burglary Dwell,1,16006319TC10A,(M2),,2016-02-28,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-18,Risk of Violence,7,Medium,2013-03-18,2013-03-17,2013-07-31,15,135,1077,1,0 +80,trenton goldston,trenton,goldston,2013-09-18,Male,1991-10-07,24,Less than 25,African-American,0,4,0,0,2,-1,2013-09-17 07:19:20,2013-09-19 04:16:03,13013114CF10A,2013-09-17,,1,F,Poss Tetrahydrocannabinols,1,15004413MM10A,(M1),1,2015-04-16,Possess Cannabis/20 Grams Or Less,2015-04-17,2015-04-17,,0,,,,,Risk of Recidivism,4,Low,2013-09-18,Risk of Violence,4,Low,2013-09-18,2013-09-17,2013-09-19,2,1,575,1,1 +83,jonny romerobarrientos,jonny,romerobarrientos,2013-01-20,Male,1986-01-11,30,25 - 45,Hispanic,0,7,0,0,0,0,2013-01-20 02:50:51,2013-02-12 09:16:13,13001388MM10A,2013-01-20,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-20,Risk of Violence,3,Low,2013-01-20,2013-01-20,2013-02-12,0,23,1167,0,0 +84,rodney daniels,rodney,daniels,2013-08-27,Male,1967-01-23,49,Greater than 45,African-American,0,1,0,0,4,-1,2013-08-26 09:16:39,2013-08-27 06:57:19,13016325MM10A,2013-08-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-26,2013-08-27,4,0,948,0,0 +85,walter olson,walter,olson,2013-05-28,Male,1962-12-07,53,Greater than 45,Caucasian,0,5,0,0,8,-13,2013-05-15 08:36:10,2013-05-28 10:06:35,13006695CF10A,,2013-05-15,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-15,2013-05-28,8,0,1039,0,0 +87,ronald singletary,ronald,singletary,2013-02-11,Male,1980-06-04,35,25 - 45,African-American,0,3,0,0,5,-1,2013-02-10 07:44:42,2013-02-11 07:04:44,13002065CF10A,2013-02-10,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-11,Risk of Violence,2,Low,2013-02-11,2013-02-10,2013-02-11,5,0,1145,0,0 +88,erwin mallard,erwin,mallard,2013-06-10,Male,1953-04-09,63,Greater than 45,African-American,0,7,0,0,10,-38,2013-05-03 09:19:41,2013-06-08 05:22:38,10027101MM10A,2010-12-17,,906,M,Possess Drug Paraphernalia,1,13016843MM10A,(M2),,2013-07-24,Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2013-06-10,Risk of Violence,5,Medium,2013-06-10,2013-05-03,2013-06-08,10,0,44,1,1 +90,brett smith,brett,smith,2014-08-30,Male,1989-02-26,27,25 - 45,African-American,1,10,1,2,15,-1,2014-08-29 04:58:13,2014-08-30 08:38:48,14011789CF10A,2014-08-29,,1,F,Driving While License Revoked,1,14014938MM10A,(M1),0,2014-10-13,Possess Cannabis/20 Grams Or Less,2014-10-13,2014-10-18,,0,,,,,Risk of Recidivism,10,High,2014-08-30,Risk of Violence,9,High,2014-08-30,2014-10-13,2014-10-18,15,0,44,1,1 +91,robert merlo,robert,merlo,2013-02-04,Male,1977-09-12,38,25 - 45,Caucasian,0,2,0,0,4,-1,2013-02-03 11:59:25,2013-02-05 11:05:50,13002432MM10A,2013-02-03,,1,M,Battery,1,13067394TC20A,(M2),,2013-11-03,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,2,Low,2013-02-04,2013-02-03,2013-02-05,4,1,272,1,1 +93,omar wilson,omar,wilson,2013-11-16,Male,1993-06-13,22,Less than 25,African-American,0,4,0,1,1,-1,2013-11-15 06:56:49,2013-11-16 07:51:56,13015917CF10A,2013-11-15,,1,F,Poss Firearm W/Altered ID#,1,15000014MM40A,(M1),,2014-11-22,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-16,Risk of Violence,6,Medium,2013-11-16,2013-11-15,2013-11-16,1,0,371,1,1 +95,daquan davis,daquan,davis,2013-03-14,Male,1994-04-11,22,Less than 25,African-American,0,10,1,2,2,70,2013-05-23 01:31:00,2013-09-24 06:24:21,12017010CF10A,2012-11-20,,114,F,Sell Conterfeit Cont Substance,1,15009631MM10A,(M2),0,2015-09-10,Susp Drivers Lic 1st Offense,2015-09-10,2015-12-08,,0,,,,,Risk of Recidivism,10,High,2013-03-14,Risk of Violence,9,High,2013-03-14,2013-05-23,2013-09-24,2,0,70,0,1 +96,bradley quimbley,bradley,quimbley,2013-01-26,Male,1986-05-11,29,25 - 45,African-American,0,9,0,0,4,-1,2013-01-25 10:34:01,2013-02-13 09:36:41,13001227CF10A,,2013-01-25,1,F,arrest case no charge,1,13011976CF10A,(F3),,2013-08-23,Aggrav Stalking After Injunctn,,,,0,,,,,Risk of Recidivism,9,High,2013-01-26,Risk of Violence,5,Medium,2013-01-26,2013-04-05,2013-07-12,4,18,69,0,1 +97,victor cabreramacias,victor,cabreramacias,2013-01-08,Male,1954-01-26,62,Greater than 45,Hispanic,0,1,0,0,0,0,2013-01-08 12:33:09,2013-01-08 09:41:28,13001092TC10A,2013-01-07,,1,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-08,Risk of Violence,1,Low,2013-01-08,2013-01-08,2013-01-08,0,0,1179,0,0 +98,daniel barnard,daniel,barnard,2014-04-30,Male,1988-07-05,27,25 - 45,African-American,0,6,1,0,6,0,2014-04-30 02:11:49,2014-05-30 04:59:14,14006018CF10A,2014-04-30,,0,F,Aggravated Battery / Pregnant,1,14015039CF10A,(F3),0,2014-11-09,Possession of Cocaine,2014-11-09,2014-11-10,,0,,,,,Risk of Recidivism,6,Medium,2014-04-30,Risk of Violence,3,Low,2014-04-30,2014-11-09,2014-11-10,6,30,193,1,1 +99,hector hollis,hector,hollis,2014-03-09,Male,1983-02-19,33,25 - 45,Other,0,1,0,0,0,-1,2014-03-08 01:34:03,2014-03-09 10:21:45,14004045MM10A,2014-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-09,Risk of Violence,1,Low,2014-03-09,2014-03-08,2014-03-09,0,0,754,0,0 +100,merlita hanson,merlita,hanson,2013-09-28,Female,1960-01-03,56,Greater than 45,African-American,0,1,0,0,0,0,2013-09-28 02:52:18,2013-10-01 07:39:52,13018452MM10A,2013-09-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-28,Risk of Violence,1,Low,2013-09-28,2013-09-28,2013-10-01,0,3,916,0,0 +101,pedro rodriguez,pedro,rodriguez,2013-01-13,Male,1970-05-03,45,Greater than 45,Hispanic,0,1,0,0,6,-1,2013-01-12 05:43:00,2013-09-11 04:51:56,13000734CF10A,2013-01-12,,1,F,Possession of Cocaine,1,14005041TC10A,(M2),,2013-12-02,Operating W/O Valid License,,,,1,14001759MM10A,(M1),2014-02-01,Battery,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-09-11,6,241,323,1,1 +102,andres bayas,andres,bayas,2013-05-25,Male,1993-10-16,22,Less than 25,Hispanic,0,4,0,0,1,-1,2013-05-24 06:06:17,2013-05-25 07:28:17,13007454CF10A,2013-05-24,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-25,Risk of Violence,6,Medium,2013-05-25,2013-05-24,2013-05-25,1,0,1042,0,0 +105,alfonzo morgan,alfonzo,morgan,2013-03-07,Male,1976-11-11,39,25 - 45,African-American,0,4,0,0,1,-1,2013-03-06 11:23:53,2013-03-11 09:00:57,04018615MM10A,,2013-03-06,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-07,Risk of Violence,2,Low,2013-03-07,2013-03-06,2013-03-11,1,4,1121,0,0 +107,kennol placil,kennol,placil,2013-01-07,Male,1986-10-24,29,25 - 45,African-American,0,6,0,0,5,0,2013-01-07 02:12:47,2013-01-08 05:19:42,13000275CF10A,2013-01-07,,0,F,False Name By Person Arrest,1,13038900TC10A,(M2),0,2013-09-17,Operating W/O Valid License,2013-09-17,2013-09-18,,0,,,,,Risk of Recidivism,6,Medium,2013-01-07,Risk of Violence,3,Low,2013-01-07,2013-09-17,2013-09-18,5,1,253,1,1 +108,anthony smith,anthony,smith,2014-12-03,Male,1989-03-27,27,25 - 45,Caucasian,0,6,0,1,1,-1,2014-12-02 03:23:28,2014-12-16 09:24:24,14014791CF10A,,2014-12-02,1,F,arrest case no charge,1,16002597CF10A,(F3),,2015-11-09,Pos Cannabis W/Intent Sel/Del,,,,0,,,,,Risk of Recidivism,6,Medium,2014-12-03,Risk of Violence,3,Low,2014-12-03,2015-09-02,2015-10-30,1,13,273,0,1 +111,phylipe raphael,phylipe,raphael,2013-07-17,Male,1976-03-27,40,25 - 45,African-American,0,2,0,0,2,-15,2013-07-02 03:42:01,2013-07-05 08:13:10,13007958CF10A,,2013-07-02,15,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-17,Risk of Violence,1,Low,2013-07-17,2013-07-02,2013-07-05,2,0,989,0,0 +113,troy smith,troy,smith,2013-08-25,Male,1993-09-21,22,Less than 25,African-American,0,3,0,0,1,0,2013-08-25 12:07:09,2013-09-11 08:04:08,13016227MM10A,2013-08-24,,1,M,Battery,1,14068249TC40A,(M2),,2014-10-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-25,Risk of Violence,3,Low,2013-08-25,2014-05-08,2014-05-29,1,17,256,0,1 +114,james wickman,james,wickman,2013-02-19,Male,1993-10-12,22,Less than 25,Caucasian,0,8,0,0,0,-1,2013-02-18 12:24:07,2013-04-17 10:32:09,13002486CF10A,2013-02-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-19,Risk of Violence,6,Medium,2013-02-19,2013-05-03,2013-05-24,0,57,73,0,0 +115,pentara casaberry,pentara,casaberry,2013-11-08,Female,1989-09-01,26,25 - 45,African-American,0,4,0,0,1,-1,2013-11-07 09:01:45,2013-11-09 09:07:50,13015554CF10A,2013-11-07,,1,F,Poss Cocaine/Intent To Del/Sel,1,13016053CF10A,(M1),0,2013-11-19,Resist/Obstruct W/O Violence,2013-11-19,2014-01-16,,1,13016053CF10A,(F3),2013-11-19,Child Abuse,Risk of Recidivism,4,Low,2013-11-08,Risk of Violence,3,Low,2013-11-08,2013-11-19,2014-01-16,1,1,11,1,1 +116,david meadows,david,meadows,2014-07-21,Male,1988-10-11,27,25 - 45,Caucasian,0,7,0,0,1,-43,2014-06-08 01:02:27,2014-06-27 09:37:41,14007902CF10A,2014-06-07,,44,F,Burglary Dwelling Assault/Batt,1,15007890CF10A,(M1),24,2015-04-05,Felony Battery w/Prior Convict,2015-04-29,2015-05-17,,1,15007890CF10A,(M1),2015-04-05,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2014-07-21,Risk of Violence,8,High,2014-07-21,2015-06-29,2015-11-13,1,0,258,1,1 +119,shawn thropes,shawn,thropes,2013-03-04,Male,1983-05-02,32,25 - 45,African-American,0,2,0,0,0,-1,2013-03-03 03:33:48,2013-03-04 07:08:59,13003199CF10A,2013-03-03,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-03,2013-03-04,0,0,1124,0,0 +120,demetrious ellis,demetrious,ellis,2013-02-28,Male,1974-06-28,41,25 - 45,African-American,0,2,0,0,1,-1,2013-02-27 09:49:07,2013-03-01 01:59:16,95026071MM10A,,1998-12-19,5185,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-28,Risk of Violence,2,Low,2013-02-28,2013-02-27,2013-03-01,1,1,1128,0,0 +122,murvin thomas,murvin,thomas,2013-02-21,Male,1986-03-29,30,25 - 45,African-American,0,10,0,0,8,-1,2013-02-20 02:14:37,2013-02-21 07:47:06,13003606MM10A,2013-02-20,,1,M,Possess Cannabis/20 Grams Or Less,1,13005516CF10A,(M1),0,2013-04-17,Possess Cannabis/20 Grams Or Less,2013-04-17,2013-04-18,,1,15006514CF10A,(F3),2015-04-24,Battery on a Person Over 65,Risk of Recidivism,10,High,2013-02-21,Risk of Violence,9,High,2013-02-21,2013-04-17,2013-04-18,8,0,55,1,1 +127,desmond lee,desmond,lee,2014-08-07,Male,1965-10-08,50,Greater than 45,Other,0,1,0,0,0,-1,2014-08-06 12:43:24,2014-08-07 08:29:46,14010718CF10A,,2014-08-06,1,F,arrest case no charge,1,15012266TC20A,(M2),135,2015-02-05,Susp Drivers Lic 1st Offense,2015-06-20,2015-06-22,,0,,,,,Risk of Recidivism,1,Low,2014-08-07,Risk of Violence,2,Low,2014-08-07,2015-06-20,2015-06-22,0,0,182,1,1 +128,kambrel tarver,kambrel,tarver,2013-04-20,Male,1991-01-30,25,25 - 45,African-American,1,10,6,1,14,-1,2013-04-19 02:20:32,2013-04-26 05:45:46,11008067CF10A,,2013-04-19,1,F,arrest case no charge,1,13015805MM10A,(M1),0,2013-07-29,Resist/Obstruct W/O Violence,2013-07-29,2013-08-17,,1,16003005CF10A,(M1),2016-03-09,Battery,Risk of Recidivism,10,High,2013-04-20,Risk of Violence,10,High,2013-04-20,2013-07-29,2013-08-17,14,6,100,1,1 +130,juster philippe,juster,philippe,2013-10-03,Male,1995-05-06,20,Less than 25,Other,0,5,0,0,0,-1,2013-10-02 05:50:22,2013-10-03 08:15:24,13013834CF10A,2013-10-02,,1,F,Tampering With Physical Evidence,1,14001348CF10A,(F2),0,2014-01-30,Robbery / No Weapon,2014-01-30,2015-03-29,,1,14001348CF10A,(F2),2014-01-30,Agg Battery Grt/Bod/Harm,Risk of Recidivism,5,Medium,2013-10-03,Risk of Violence,8,High,2013-10-03,2014-01-30,2015-03-29,0,0,119,1,1 +131,khalil pass,khalil,pass,2014-01-16,Male,1994-01-26,22,Less than 25,African-American,1,9,0,0,2,0,2014-01-16 02:39:46,2014-02-15 04:39:31,14000722CF10A,2014-01-16,,0,F,Attempted Burg/struct/unocc,1,14010658MM10A,(M1),1,2014-07-10,Resist/Obstruct W/O Violence,2014-07-11,2014-07-11,,0,,,,,Risk of Recidivism,9,High,2014-01-16,Risk of Violence,10,High,2014-01-16,2014-01-16,2014-02-15,2,30,175,1,1 +132,israel doyle,israel,doyle,2014-03-17,Male,1992-12-07,23,Less than 25,African-American,0,7,0,1,2,137,2014-08-01 08:35:46,2014-08-02 01:49:31,13019996MM10A,,2013-09-06,192,M,arrest case no charge,1,14075171TC40A,(M2),,2014-09-15,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-17,Risk of Violence,8,High,2014-03-17,2014-08-01,2014-08-02,2,0,137,0,1 +136,terri hamilton,terri,hamilton,2013-03-30,Female,1980-09-16,35,25 - 45,African-American,0,2,0,0,1,-1,2013-03-29 06:55:39,2013-03-30 03:12:37,13000467TC10A,,2013-03-29,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-29,2013-03-30,1,0,1098,0,0 +137,clarence bonner,clarence,bonner,2014-04-29,Male,1979-11-12,36,25 - 45,African-American,0,7,0,0,9,0,2014-04-29 12:24:22,2014-05-03 04:26:44,14005910CF10A,2014-04-28,,1,F,Deliver Cocaine,1,14008440MM10A,(M1),1,2014-05-26,Possess Cannabis/20 Grams Or Less,2014-05-27,2014-05-27,,0,,,,,Risk of Recidivism,7,Medium,2014-04-29,Risk of Violence,6,Medium,2014-04-29,2014-04-29,2014-05-03,9,4,27,1,1 +138,edwin carpenter,edwin,carpenter,2013-01-12,Male,1989-05-29,26,25 - 45,Caucasian,0,8,0,0,7,0,2013-01-12 04:53:07,2013-01-12 07:28:51,13000564CF10A,2013-01-11,,1,F,Possession Burglary Tools,1,14001406MM10A,(M1),1,2014-01-24,Resist/Obstruct W/O Violence,2014-01-25,2014-01-26,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,4,Low,2013-01-12,2014-03-27,2014-04-06,7,0,377,1,1 +139,kemar rose,kemar,rose,2013-04-20,Male,1994-09-06,21,Less than 25,Other,0,6,0,0,1,0,2013-04-20 12:30:29,2013-04-24 10:36:19,13005641CF10A,2013-04-19,,1,F,Grand Theft in the 3rd Degree,1,13017924CF10A,(M1),0,2013-12-29,Possess Drug Paraphernalia,2013-12-29,2014-04-06,,0,,,,,Risk of Recidivism,6,Medium,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2013-12-29,2014-04-06,1,4,253,1,1 +142,richard veach,richard,veach,2014-12-13,Male,1991-01-20,25,25 - 45,Caucasian,0,8,0,0,9,-1,2014-12-12 07:27:40,2014-12-13 07:23:49,14016502CF10A,2014-12-12,,1,F,Pos Cannabis W/Intent Sel/Del,1,15028085TC20A,(M2),,2015-05-07,Driving License Suspended,,,,1,15006549MM10A,(M1),2015-06-17,Battery,Risk of Recidivism,8,High,2014-12-13,Risk of Violence,9,High,2014-12-13,2015-07-17,2015-07-19,9,0,145,1,1 +143,jimmie moss,jimmie,moss,2013-01-04,Male,1944-05-13,71,Greater than 45,African-American,0,7,0,0,12,,,,10023009MM10A,2010-10-23,,804,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-04,Risk of Violence,3,Low,2013-01-04,,,12,0,1183,0,0 +145,jasmin negron,jasmin,negron,2013-11-14,Female,1995-09-19,20,Less than 25,Caucasian,0,7,0,0,0,-1,2013-11-13 11:21:14,2013-11-14 01:36:21,13015797CF10A,2013-11-13,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-14,Risk of Violence,8,High,2013-11-14,2013-11-13,2013-11-14,0,0,869,0,0 +146,michael kohler,michael,kohler,2013-02-13,Male,1976-08-10,39,25 - 45,Caucasian,0,1,0,0,2,-2,2013-02-11 12:50:21,2013-02-11 07:33:17,13002060CF10A,2013-02-10,,3,F,Possession Of Alprazolam,1,13005488CF10A,(F3),0,2013-04-17,Possession of Hydromorphone,2013-04-17,2013-05-09,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-04-17,2013-05-09,2,0,63,1,1 +147,phillip bishop,phillip,bishop,2013-11-06,Male,1949-05-04,66,Greater than 45,Caucasian,0,1,0,0,3,-64,2013-09-03 04:44:29,2013-10-03 12:15:17,13012424CF10A,2013-09-03,,64,F,Flee/Elude LEO-Agg Flee Unsafe,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-06,Risk of Violence,1,Low,2013-11-06,2013-09-03,2013-10-03,3,0,877,0,0 +148,deanna murphy,deanna,murphy,2013-04-15,Female,1961-11-10,54,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-15 01:07:24,2013-04-15 07:56:24,13007296MM10A,2013-04-14,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-04-15,2013-04-15,0,0,1082,0,0 +150,sharon muriente,sharon,muriente,2013-08-20,Female,1971-05-12,44,25 - 45,Hispanic,0,1,0,0,0,-2,2013-08-18 03:23:05,2013-08-19 06:27:00,13015636MM10A,2013-08-18,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-18,2013-08-19,0,0,955,0,0 +151,willie morris,willie,morris,2014-11-14,Male,1996-08-15,19,Less than 25,African-American,0,4,0,0,1,-10,2014-11-04 07:39:38,2014-11-13 10:02:51,14015929MM10A,2014-11-04,,10,M,Battery,1,15002656CF10A,(M1),0,2015-02-26,Viol Injunction Protect Dom Violence,2015-02-26,2015-03-04,,1,15002656CF10A,(F3),2015-02-26,Battery on Law Enforc Officer,Risk of Recidivism,4,Low,2014-11-14,Risk of Violence,7,Medium,2014-11-14,2015-02-26,2015-03-04,1,0,104,1,1 +152,brandon minter,brandon,minter,2014-02-28,Male,1991-11-27,24,Less than 25,African-American,0,2,0,0,1,-137,2013-10-14 04:11:17,2014-02-28 11:20:14,13007744CF10A,,2013-10-14,137,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-28,Risk of Violence,3,Low,2014-02-28,2015-07-16,2015-07-16,1,0,503,0,0 +153,matthew grant,matthew,grant,2013-09-09,Male,1985-07-24,30,25 - 45,African-American,0,2,0,0,1,-1,2013-09-08 09:39:18,2013-09-09 08:03:09,13012705CF10A,2013-09-08,,1,F,Fail To Redeliv Hire/Leas Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,2,Low,2013-09-09,2013-09-08,2013-09-09,1,0,935,0,0 +154,sandra quinones,sandra,quinones,2013-09-05,Female,1977-04-14,39,25 - 45,Caucasian,0,1,0,0,0,-1,2013-09-04 11:36:38,2013-09-06 04:07:01,13012513CF10A,2013-09-04,,1,F,Aggravated Assault W/Dead Weap,1,13020368MM10A,(M1),1,2013-10-27,Battery,2013-10-28,2013-10-28,,1,13020368MM10A,(M1),2013-10-27,Battery,Risk of Recidivism,1,Low,2013-09-05,Risk of Violence,1,Low,2013-09-05,2013-09-04,2013-09-06,0,1,52,1,1 +156,vincent carbone,vincent,carbone,2013-04-11,Male,1991-10-02,24,Less than 25,Caucasian,0,6,1,2,8,-1,2013-04-10 05:59:23,2013-04-22 10:32:05,13005383CF10A,2013-04-11,,0,F,False Ownership Info/Pawn Item,1,13006642CF10A,(F2),1,2013-05-08,Poss Wep Conv Felon,2013-05-09,2013-05-09,,0,,,,,Risk of Recidivism,6,Medium,2013-04-11,Risk of Violence,6,Medium,2013-04-11,2013-04-10,2013-04-22,8,11,27,1,1 +157,silvio paulino,silvio,paulino,2013-08-29,Male,1985-10-24,30,25 - 45,Caucasian,0,4,0,0,0,-1,2013-08-28 11:22:24,2013-09-03 10:40:45,13012146CF10A,2013-08-28,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-29,Risk of Violence,2,Low,2013-08-29,2015-01-08,2015-02-04,0,5,497,0,0 +158,john white,john,white,2014-02-21,Male,1984-06-08,31,25 - 45,Caucasian,0,5,0,0,0,-1,2014-02-20 09:46:47,2014-03-31 09:04:43,14003013MM10A,2014-02-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,2,Low,2014-02-21,2014-02-20,2014-03-31,0,38,770,0,0 +159,april mincey,april,mincey,2013-02-26,Female,1976-09-19,39,25 - 45,Caucasian,0,4,0,0,1,-1,2013-02-25 07:42:47,2013-06-12 04:31:04,13002849CF10A,2013-02-25,,1,F,Possession of Morphine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-26,Risk of Violence,3,Low,2013-02-26,2014-03-25,2014-03-30,1,106,392,0,0 +160,jimmy bell,jimmy,bell,2014-12-04,Male,1957-04-02,59,Greater than 45,African-American,0,9,0,0,14,178,2015-05-31 07:39:18,2015-09-18 01:21:56,12008029CF10A,,2014-03-14,265,F,arrest case no charge,1,15007122CF10A,(F3),0,2015-05-31,Aggravated Assault W/Dead Weap,2015-05-31,2015-09-18,,1,15007122CF10A,(F3),2015-05-31,Aggravated Assault W/Dead Weap,Risk of Recidivism,9,High,2014-12-04,Risk of Violence,4,Low,2014-12-04,2015-05-31,2015-09-18,14,0,178,1,1 +163,andrew chu,andrew,chu,2013-08-15,Male,1973-01-15,43,25 - 45,Caucasian,0,1,0,0,1,-30,2013-07-16 06:41:37,2013-07-17 07:35:00,13009961CF10A,2013-07-16,,30,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2013-07-16,2013-07-17,1,0,960,0,0 +166,brandon wilson,brandon,wilson,2013-03-02,Male,1994-06-15,21,Less than 25,African-American,0,9,0,0,3,-1,2013-03-01 01:43:35,2013-03-07 08:20:12,13003093CF10A,2013-03-01,,1,F,Grand Theft in the 3rd Degree,1,13004351CF10A,(M1),0,2013-03-26,Resist/Obstruct W/O Violence,2013-03-26,2014-01-22,,0,,,,,Risk of Recidivism,9,High,2013-03-02,Risk of Violence,6,Medium,2013-03-02,2013-03-26,2014-01-22,3,5,24,1,1 +169,edson howlett,edson,howlett,2013-01-16,Male,1977-11-14,38,25 - 45,Caucasian,0,4,0,0,5,-1,2013-01-15 08:16:11,2013-01-18 04:32:15,13001000MM10A,2013-01-15,,1,M,Possess Cannabis/20 Grams Or Less,1,13003609CF10A,(F3),0,2013-03-12,Possession of Cannabis,2013-03-12,2013-03-13,,0,,,,,Risk of Recidivism,4,Low,2013-01-16,Risk of Violence,3,Low,2013-01-16,2013-03-12,2013-03-13,5,2,55,1,1 +171,joseph montalvomolina,joseph,montalvomolina,2013-02-15,Male,1982-02-19,34,25 - 45,Caucasian,0,5,0,0,0,0,2013-02-15 10:54:22,2013-03-02 09:04:47,13002550CF10A,2013-02-15,,0,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-15,Risk of Violence,5,Medium,2013-02-15,2014-05-02,2014-07-10,0,15,441,0,0 +173,harold dor,harold,dor,2013-11-17,Male,1982-06-03,33,25 - 45,African-American,0,5,0,0,5,0,2013-11-17 01:23:30,2013-11-17 08:15:06,13015967CF10A,2013-11-16,,1,F,Poss Contr Subst W/o Prescript,1,14001731MM30A,(M1),,2014-10-28,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-17,Risk of Violence,2,Low,2013-11-17,2013-11-17,2013-11-17,5,0,345,1,1 +174,gonzales joseph,gonzales,joseph,2013-11-18,Male,1978-09-27,37,25 - 45,African-American,0,2,0,0,3,0,2013-11-18 03:46:24,2013-11-19 10:18:36,13016018CF10A,2013-11-18,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2014-02-28,2014-03-07,3,1,102,0,0 +175,anthony sanmarco,anthony,sanmarco,2013-03-16,Male,1974-03-25,42,25 - 45,Caucasian,0,2,0,0,1,0,2013-03-16 03:53:03,2013-03-17 01:43:20,13003844CF10A,2013-03-15,,1,F,Aggrav Stalking After Injunctn,1,13003916CF10A,(F3),1,2013-03-17,Aggrav Stalking After Injunctn,2013-03-18,2013-04-23,,0,,,,,Risk of Recidivism,2,Low,2013-03-16,Risk of Violence,2,Low,2013-03-16,2013-03-16,2013-03-17,1,1,2,1,1 +176,coy daniels,coy,daniels,2013-09-06,Male,1974-12-03,41,25 - 45,African-American,0,9,1,0,10,0,2013-09-06 04:25:05,2014-03-01 04:39:46,13012611CF10A,2013-09-06,,0,F,Possession of Cocaine,1,14009556MM10A,(M1),0,2014-06-18,Resist/Obstruct W/O Violence,2014-06-18,2014-07-29,,0,,,,,Risk of Recidivism,9,High,2013-09-06,Risk of Violence,7,Medium,2013-09-06,2014-06-18,2014-07-29,10,176,285,1,1 +177,zuberi floyd,zuberi,floyd,2013-11-13,Male,1993-06-27,22,Less than 25,African-American,0,4,0,0,0,-1,2013-11-12 03:57:04,2013-11-13 01:01:29,13015737CF10A,2013-11-12,,1,F,Uttering a Forged Instrument,1,15003539CF10A,(F3),362,2014-12-12,Uttering a Forged Instrument,2015-12-09,2015-12-09,,0,,,,,Risk of Recidivism,4,Low,2013-11-13,Risk of Violence,7,Medium,2013-11-13,2015-12-09,2015-12-09,0,0,394,1,1 +178,ramon wilkerson,ramon,wilkerson,2014-01-11,Male,1982-05-17,33,25 - 45,African-American,0,8,12,2,28,-1,2014-01-10 08:06:40,2014-01-12 04:07:52,14000463CF10A,2014-01-10,,1,F,Driving While License Revoked,1,14013147TC10A,(M2),0,2014-04-04,Operating W/O Valid License,2014-04-04,2014-04-05,,0,,,,,Risk of Recidivism,8,High,2014-01-11,Risk of Violence,5,Medium,2014-01-11,2014-04-04,2014-04-05,28,1,83,1,1 +180,lee wright,lee,wright,2013-10-14,Male,1984-08-19,31,25 - 45,African-American,0,7,0,0,1,-1,2013-10-13 03:47:49,2013-10-14 08:18:17,13019413MM10A,2013-10-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-14,Risk of Violence,8,High,2013-10-14,2013-10-13,2013-10-14,1,0,900,0,0 +182,margretta martin,margretta,martin,2013-10-29,Female,1985-08-27,30,25 - 45,Other,0,2,0,0,1,-1,2013-10-28 07:07:32,2013-10-29 09:49:38,13015030CF10A,2013-10-28,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-29,Risk of Violence,2,Low,2013-10-29,2014-02-03,2014-02-11,1,0,97,0,0 +183,robert hauselt,robert,hauselt,2013-02-26,Male,1985-03-18,31,25 - 45,Caucasian,0,10,0,0,13,-1,2013-02-25 06:43:30,2014-06-11 12:57:06,13003002CF10A,,2013-02-26,0,F,arrest case no charge,1,13005853CF10A,(F2),,2013-04-22,Burglary Unoccupied Dwelling,,,,1,14015876MM10A,(M1),2014-11-03,Battery,Risk of Recidivism,10,High,2013-02-26,Risk of Violence,7,Medium,2013-02-26,2013-02-25,2014-06-11,13,0,55,1,1 +184,ivory pitts,ivory,pitts,2014-11-15,Male,1988-11-16,27,25 - 45,African-American,0,9,0,0,3,-1,2014-11-14 12:10:00,2014-11-15 11:29:02,14015327CF10A,2014-11-14,,1,F,Possession of Cocaine,1,15009423CF10A,(F3),,2015-07-22,Felony Driving While Lic Suspd,,,,0,,,,,Risk of Recidivism,9,High,2014-11-15,Risk of Violence,4,Low,2014-11-15,2014-11-14,2014-11-15,3,0,249,1,1 +187,isaac johnson,isaac,johnson,2013-12-06,Male,1960-02-11,56,Greater than 45,African-American,0,9,0,0,8,67,2014-02-11 09:01:26,2014-05-02 08:04:43,11014376CF10A,,2013-09-18,79,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-06,Risk of Violence,3,Low,2013-12-06,2014-02-11,2014-05-02,8,0,67,0,0 +189,clifford matthews,clifford,matthews,2013-07-29,Male,1963-07-23,52,Greater than 45,Caucasian,0,9,0,0,3,-2,2013-07-27 10:50:36,2013-07-28 02:01:45,13014255MM10A,2013-07-27,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-07-29,Risk of Violence,6,Medium,2013-07-29,2013-07-27,2013-07-28,3,0,977,0,0 +190,jamar dixon,jamar,dixon,2013-12-29,Male,1982-07-05,33,25 - 45,African-American,0,10,0,0,19,-1,2013-12-28 10:22:08,2013-12-29 07:10:39,13017898CF10A,,2013-12-28,1,F,arrest case no charge,1,15000209MM30A,(M2),,2015-01-18,Petit Theft,,,,0,,,,,Risk of Recidivism,10,High,2013-12-29,Risk of Violence,7,Medium,2013-12-29,2014-08-08,2014-09-09,19,0,222,0,1 +192,sue middleton,sue,middleton,2014-03-31,Female,1952-02-19,64,Greater than 45,Caucasian,0,1,0,0,2,-47,2014-02-12 04:23:22,2014-02-12 01:49:55,14005660MU10A,2014-02-11,,48,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-02-12,2014-02-12,2,0,732,0,0 +193,brandon velasquez,brandon,velasquez,2014-08-12,Male,1993-09-10,22,Less than 25,Caucasian,0,6,0,0,4,-36,2014-07-07 04:10:30,2014-07-21 09:38:10,14009307CF10A,2014-07-07,,36,F,Possession Of Alprazolam,1,15004296MM40A,(M2),,2015-10-29,Petit Theft,,,,0,,,,,Risk of Recidivism,6,Medium,2014-08-12,Risk of Violence,8,High,2014-08-12,2014-12-29,2015-01-17,4,0,139,0,1 +194,ryan pottle,ryan,pottle,2013-09-17,Male,1974-03-30,42,25 - 45,Caucasian,0,3,0,0,6,-4,2013-09-13 12:01:41,2013-09-13 09:01:37,13012918CF10A,2013-09-12,,5,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-17,Risk of Violence,1,Low,2013-09-17,2014-10-30,2015-01-24,6,0,408,0,0 +195,brooke ferrell,brooke,ferrell,2013-12-23,Female,1991-01-14,25,25 - 45,Caucasian,0,4,0,0,2,-1,2013-12-22 01:36:59,2013-12-25 02:33:32,13016742CF10A,,2013-12-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,5,Medium,2013-12-23,2014-12-17,2015-01-07,2,2,359,0,0 +197,kyle hoyt,kyle,hoyt,2013-11-19,Male,1985-05-01,30,25 - 45,Caucasian,0,2,0,0,1,-20,2013-10-30 06:36:57,2013-11-03 02:08:43,13015141CF10A,2013-10-30,,20,M,Agg Fleeing and Eluding,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-19,Risk of Violence,2,Low,2013-11-19,2013-10-30,2013-11-03,1,0,864,0,0 +199,ritesh sukhlall,ritesh,sukhlall,2013-08-29,Male,1987-05-12,28,25 - 45,Caucasian,0,1,0,0,2,,,,12018849CF10A,,2013-03-21,161,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-29,Risk of Violence,2,Low,2013-08-29,,,2,0,946,0,0 +200,nicola spenceburrell,nicola,spenceburrell,2013-12-30,Female,1978-06-30,37,25 - 45,Other,0,2,0,0,2,-1,2013-12-29 10:42:45,2013-12-31 04:10:00,13012779MM10A,2013-05-22,,222,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2013-12-29,2013-12-31,2,1,823,0,0 +202,travis wilson,travis,wilson,2014-12-19,Male,1988-04-12,28,25 - 45,Caucasian,0,2,0,0,0,-1,2014-12-18 11:16:49,2014-12-19 08:34:46,14017828MM10A,2014-12-18,,1,M,Disorderly Intoxication,1,16001434MM10A,(M1),0,2016-02-13,Viol Injunct Domestic Violence,2016-02-13,2016-02-14,,0,,,,,Risk of Recidivism,2,Low,2014-12-19,Risk of Violence,3,Low,2014-12-19,2015-02-17,2015-02-17,0,0,60,0,1 +203,pamela goodwin,pamela,goodwin,2014-02-07,Female,1991-09-24,24,Less than 25,African-American,0,2,0,0,0,-1,2014-02-06 01:25:28,2014-02-08 12:00:39,14002123MM10A,2014-02-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-07,Risk of Violence,3,Low,2014-02-07,2014-02-06,2014-02-08,0,1,784,0,0 +206,elizabeth pozo,elizabeth,pozo,2014-11-19,Female,1987-01-23,29,25 - 45,Caucasian,0,4,1,0,10,-1,2014-11-18 07:08:18,2014-11-25 09:31:21,14015588CF10A,2014-11-18,,1,F,Grand Theft in the 3rd Degree,1,15003284CF10A,(F3),1,2015-03-10,Uttering a Forged Instrument,2015-03-11,2015-04-18,,0,,,,,Risk of Recidivism,4,Low,2014-11-19,Risk of Violence,2,Low,2014-11-19,2014-12-29,2015-02-05,10,6,40,0,1 +208,erik kadler,erik,kadler,2014-01-27,Male,1971-11-26,44,25 - 45,Caucasian,0,2,0,0,2,0,2014-01-27 02:05:45,2014-01-27 01:32:12,14001438MM10A,2014-01-26,,1,M,Battery,1,14015569MM10A,(M1),,2014-08-31,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-27,2014-01-27,2,0,216,1,1 +209,jessica ruiz,jessica,ruiz,2014-04-04,Female,1985-06-15,30,25 - 45,Hispanic,0,5,0,0,4,-35,2014-02-28 01:37:01,2014-02-28 09:21:54,14002842CF10A,2014-02-27,,36,F,Battery on Law Enforc Officer,1,14007741MM10A,(M1),1,2014-05-11,Battery,2014-05-12,2014-06-13,,1,14007741MM10A,(M1),2014-05-11,Battery,Risk of Recidivism,5,Medium,2014-04-04,Risk of Violence,5,Medium,2014-04-04,2015-04-10,2015-12-07,4,0,37,1,1 +210,taquawn davis,taquawn,davis,2013-01-02,Male,1984-01-26,32,25 - 45,African-American,0,7,0,0,3,-1,2013-01-01 07:06:35,2013-01-09 08:36:21,13000037CF10A,2013-01-01,,1,F,Possession of Cocaine,1,14012043CF10A,(F3),,2014-09-04,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-02,Risk of Violence,3,Low,2013-01-02,2014-02-19,2014-02-27,3,7,413,0,1 +213,daniel crowder,daniel,crowder,2013-09-05,Male,1984-11-03,31,25 - 45,Caucasian,0,3,0,0,2,-16,2013-08-20 05:28:11,2013-09-04 08:35:41,13015850MM10A,2013-08-20,,16,M,Resist/Obstruct W/O Violence,1,14000807MM10A,(M1),,2013-10-23,Theft/To Deprive,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-08-20,2013-09-04,2,0,48,1,1 +215,brandon flanders,brandon,flanders,2013-01-17,Male,1985-04-16,31,25 - 45,African-American,0,2,0,0,1,-1,2013-01-16 05:37:32,2013-01-17 07:15:11,13001130MM10A,2013-01-16,,1,M,Lewdness Violation,1,16012589TC40A,(M2),,2016-03-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-17,Risk of Violence,3,Low,2013-01-17,2013-01-16,2013-01-17,1,0,1140,1,0 +216,jay shore,jay,shore,2013-04-02,Male,1957-01-07,59,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-04-01 11:13:32,2013-04-02 01:06:22,13004675CF10A,2013-04-01,,1,F,Possession of Cocaine,1,13041937TC10A,(M2),5,2013-09-13,Expired DL More Than 6 Months,2013-09-18,2013-09-25,,0,,,,,Risk of Recidivism,2,Low,2013-04-02,Risk of Violence,1,Low,2013-04-02,2014-02-26,2014-04-22,1,0,164,1,1 +218,jean murphy,jean,murphy,2013-04-24,Female,1971-02-05,45,Greater than 45,Caucasian,0,4,0,0,4,,,,11000917CF10A,,2012-04-14,375,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-24,Risk of Violence,3,Low,2013-04-24,,,4,0,1073,0,0 +220,taveunshae livingston,taveunshae,livingston,2013-11-20,Female,1995-09-05,20,Less than 25,African-American,1,10,0,0,1,0,2013-11-20 09:36:33,2013-11-23 04:06:00,13014098CF10A,,2013-11-20,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-11-20,Risk of Violence,10,High,2013-11-20,2014-03-19,2014-03-28,1,3,119,0,0 +222,gia dreiss,gia,dreiss,2013-05-14,Female,1973-03-13,43,25 - 45,Caucasian,0,1,0,0,0,0,2013-05-14 04:01:02,2013-05-15 03:11:16,13009346MM10A,2013-05-14,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-05-14,2013-05-15,0,1,1053,0,0 +223,henry davis,henry,davis,2014-04-19,Male,1977-12-28,38,25 - 45,African-American,1,8,1,0,9,-1,2014-04-18 02:31:13,2014-05-01 05:39:49,14005427CF10A,2014-04-18,,1,F,Possession of Cocaine,1,14012795MM10A,(M1),0,2014-08-26,Resist/Obstruct W/O Violence,2014-08-26,2014-08-27,,0,,,,,Risk of Recidivism,8,High,2014-04-19,Risk of Violence,4,Low,2014-04-19,2014-08-26,2014-08-27,9,12,129,1,1 +224,travis lee,travis,lee,2014-12-19,Male,1983-08-11,32,25 - 45,African-American,0,6,0,0,11,-2,2014-12-17 02:03:04,2014-12-18 08:41:05,14016717CF10A,2014-12-17,,2,F,Poss Pyrrolidinovalerophenone,1,15000511CF10A,(F3),0,2015-01-12,Poss Pyrrolidinovalerophenone,2015-01-12,2015-02-17,,1,15004732CF10A,(F1),2015-04-10,Manslaughter with Weapon,Risk of Recidivism,6,Medium,2014-12-19,Risk of Violence,5,Medium,2014-12-19,2015-01-12,2015-02-17,11,0,24,1,1 +225,justin poux,justin,poux,2013-12-26,Male,1982-08-26,33,25 - 45,African-American,0,5,0,0,8,-1,2013-12-25 07:37:38,2013-12-26 01:30:44,13023762MM10A,2013-12-25,,1,M,Assault,1,14003098MM40A,(M1),,2014-07-01,Possess Cannabis/20 Grams Or Less,,,,1,14011238CF10A,(M1),2014-08-16,Battery,Risk of Recidivism,5,Medium,2013-12-26,Risk of Violence,2,Low,2013-12-26,2015-07-16,2015-07-16,8,0,187,1,1 +227,linda etienne,linda,etienne,2014-10-23,Female,1985-01-04,31,25 - 45,African-American,0,3,0,0,0,-1,2014-10-22 11:17:38,2014-10-24 06:08:10,14014216CF10A,2014-10-22,,1,F,Possession of Oxycodone,1,15015591TC20A,(M2),39,2015-02-20,Unlaw LicTag/Sticker Attach,2015-03-31,2015-05-07,,0,,,,,Risk of Recidivism,3,Low,2014-10-23,Risk of Violence,2,Low,2014-10-23,2015-01-07,2015-02-11,0,1,76,0,1 +228,nafisa picou,nafisa,picou,2013-01-11,Female,1983-04-18,33,25 - 45,African-American,0,9,0,0,7,-1,2013-01-10 01:18:15,2013-02-05 05:36:46,13000460CF10A,2013-01-10,,1,F,Possession of Cocaine,1,13014334CF10A,(M2),0,2013-10-13,Prostitution/Lewd Act Assignation,2013-10-13,2013-11-01,,0,,,,,Risk of Recidivism,9,High,2013-01-11,Risk of Violence,9,High,2013-01-11,2013-10-13,2013-11-01,7,25,275,1,1 +229,michael corker,michael,corker,2013-04-16,Male,1988-09-20,27,25 - 45,African-American,0,9,0,0,2,-1,2013-04-15 05:49:27,2013-04-16 07:48:50,13005402CF10A,2013-04-15,,1,F,Tampering With Physical Evidence,1,13008652MM10A,(M1),0,2013-05-04,Possess Cannabis/20 Grams Or Less,2013-05-04,2013-05-04,,0,,,,,Risk of Recidivism,9,High,2013-04-16,Risk of Violence,8,High,2013-04-16,2013-05-04,2013-05-04,2,0,18,0,1 +231,tichina carr,tichina,carr,2013-12-07,Female,1995-07-13,20,Less than 25,African-American,0,6,0,0,0,0,2013-12-07 03:39:31,2013-12-07 07:28:49,13016953CF10A,2013-12-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-07,Risk of Violence,8,High,2013-12-07,2013-12-07,2013-12-07,0,0,846,0,0 +232,heather baker,heather,baker,2014-01-27,Female,1989-07-26,26,25 - 45,Caucasian,0,6,0,0,0,-2,2014-01-25 04:45:14,2014-01-26 02:13:40,14002839MU10A,2014-01-25,,2,M,Fail To Obey Police Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-27,Risk of Violence,3,Low,2014-01-27,2014-01-25,2014-01-26,0,0,795,0,0 +234,cynthia gray,cynthia,gray,2013-04-27,Female,1954-11-14,61,Greater than 45,African-American,0,1,0,0,1,-1,2013-04-26 07:00:16,2013-04-27 01:09:09,13007217CF10A,2013-04-26,,1,F,Solicit Purchase Cocaine,1,14001755MM30A,(M2),,2014-10-23,Petit Theft,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-26,2013-04-27,1,0,544,1,1 +235,paul simpson,paul,simpson,2013-05-15,Male,1963-07-01,52,Greater than 45,Other,0,7,0,0,13,-1,2013-05-14 09:51:40,2013-05-16 03:32:12,13006873CF10A,2013-05-14,,1,F,Felony Petit Theft,1,13011903MM10A,(M2),0,2013-06-20,Petit Theft,2013-06-20,2013-06-20,,0,,,,,Risk of Recidivism,7,Medium,2013-05-15,Risk of Violence,6,Medium,2013-05-15,2013-06-20,2013-06-20,13,1,36,0,1 +236,carlos lacayo,carlos,lacayo,2014-02-05,Male,1953-02-03,63,Greater than 45,Hispanic,0,1,0,0,1,-26,2014-01-10 09:45:32,2014-01-25 05:08:15,13002681CF10A,,2014-01-10,26,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-05,Risk of Violence,1,Low,2014-02-05,2014-01-10,2014-01-25,1,0,786,0,0 +238,tiffany reid,tiffany,reid,2014-04-23,Female,1984-02-01,32,25 - 45,African-American,0,10,0,0,4,-7,2014-04-16 09:55:10,2014-04-23 05:27:00,13017942CF10A,,2014-04-16,7,F,arrest case no charge,1,15006709CF10A,(F3),0,2015-05-23,Aggravated Assault W/Dead Weap,2015-05-23,2015-09-18,,1,15006709CF10A,(F3),2015-05-23,Aggravated Assault W/Dead Weap,Risk of Recidivism,10,High,2014-04-23,Risk of Violence,9,High,2014-04-23,2015-05-23,2015-09-18,4,0,395,1,1 +239,joshua ortiz,joshua,ortiz,2013-09-06,Male,1986-08-27,29,25 - 45,Hispanic,0,4,0,0,1,-1,2013-09-05 06:24:46,2013-09-06 03:39:35,13012529CF10A,2013-09-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-05,2013-09-06,1,0,938,0,0 +240,rabina humphrey,rabina,humphrey,2013-01-10,Female,1969-07-04,46,Greater than 45,Other,0,2,0,0,1,,,,12016046CF10A,2012-10-30,,72,F,Grand Theft in the 1st Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,,,1,0,1177,0,0 +241,pilar melvin,pilar,melvin,2013-03-10,Female,1989-12-04,26,25 - 45,African-American,0,4,0,0,2,-1,2013-03-09 07:15:19,2013-03-10 01:31:38,13004741MM10A,2013-03-09,,1,M,Driving Under The Influence,1,14004570TC10A,(M2),,2013-10-25,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-10,Risk of Violence,4,Low,2013-03-10,2013-03-09,2013-03-10,2,0,229,1,1 +242,dwayne powell,dwayne,powell,2013-06-27,Male,1961-03-09,55,Greater than 45,African-American,0,1,0,0,3,-51,2013-05-07 01:06:57,2013-05-08 03:17:33,13008769MM10A,2013-05-06,,52,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-27,Risk of Violence,1,Low,2013-06-27,2013-05-07,2013-05-08,3,0,1009,0,0 +243,bryan sandrin,bryan,sandrin,2014-02-11,Male,1976-06-30,39,25 - 45,Caucasian,1,4,0,0,1,-1,2014-02-10 10:59:01,2014-02-14 09:09:06,09018753TC10A,2009-07-15,,1672,M,,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-11,Risk of Violence,4,Low,2014-02-11,2014-02-10,2014-02-14,1,3,780,0,0 +244,rachel otto,rachel,otto,2013-05-02,Female,1985-07-19,30,25 - 45,Caucasian,0,7,0,0,3,0,2013-05-02 04:01:43,2014-10-14 06:03:58,13006294CF10A,2013-05-01,,1,F,Possession Of Carisoprodol,1,13007159CF10A,(F3),554,2013-05-16,Fraudulent Use of Credit Card,2014-11-21,2014-12-02,,0,,,,,Risk of Recidivism,7,Medium,2013-05-02,Risk of Violence,4,Low,2013-05-02,2013-05-02,2014-10-14,3,0,14,1,1 +245,jeffery jean,jeffery,jean,2013-03-02,Male,1985-05-30,30,25 - 45,African-American,0,7,0,0,1,0,2013-03-02 01:19:52,2013-05-11 04:23:17,13003159CF10A,2013-03-01,,1,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-02,Risk of Violence,8,High,2013-03-02,2014-03-04,2014-03-07,1,70,367,0,0 +246,michael cormier,michael,cormier,2013-09-26,Male,1967-08-21,48,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-09-25 12:51:27,2013-09-26 08:42:11,13018327MM10A,2013-09-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2013-09-25,2013-09-26,2,0,918,0,0 +248,marquis brantley,marquis,brantley,2013-05-16,Male,1993-05-25,22,Less than 25,African-American,0,2,0,0,1,-1,2013-05-15 12:16:21,2013-05-16 09:03:09,13006968CF10A,,2013-05-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-16,Risk of Violence,4,Low,2013-05-16,2014-11-14,2015-05-21,1,0,547,0,0 +249,brian fuller,brian,fuller,2013-02-11,Male,1970-03-27,46,Greater than 45,Caucasian,0,1,0,0,6,22,2013-03-05 09:31:17,2013-03-28 01:40:17,13000558CF10A,2013-01-11,,31,F,Driving While License Revoked,1,13007870MM10A,(M2),0,2013-03-05,Susp Drivers Lic 1st Offense,2013-03-05,2013-03-28,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-03-05,2013-03-28,6,0,22,1,1 +251,tanya gordon,tanya,gordon,2014-03-19,Female,1966-09-25,49,Greater than 45,Caucasian,0,6,0,0,6,-56,2014-01-22 07:46:15,2014-01-27 08:19:45,14000940CF10A,2014-01-22,,56,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-19,Risk of Violence,2,Low,2014-03-19,2014-01-22,2014-01-27,6,0,744,0,0 +252,matthew segal,matthew,segal,2013-04-20,Male,1984-08-30,31,25 - 45,Caucasian,0,5,0,0,0,0,2013-04-20 02:52:11,2013-04-22 09:19:35,13005685CF10A,2013-04-19,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2015-04-09,2015-05-29,0,2,719,0,0 +254,deandre arnold,deandre,arnold,2013-09-17,Male,1990-09-19,25,25 - 45,African-American,0,2,0,0,1,-1,2013-09-16 03:35:39,2013-09-18 01:39:28,13017638MM10A,2013-09-16,,1,M,Battery,1,13019782MM10A,(M2),0,2013-10-18,Prowling/Loitering,2013-10-18,2013-10-22,,0,,,,,Risk of Recidivism,2,Low,2013-09-17,Risk of Violence,3,Low,2013-09-17,2013-10-18,2013-10-22,1,1,31,1,1 +257,robello rodriguez,robello,rodriguez,2013-09-09,Male,1992-09-11,23,Less than 25,Hispanic,0,3,0,0,0,-1,2013-09-08 01:03:31,2013-09-08 02:03:07,13012674CF10A,2013-09-07,,2,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,5,Medium,2013-09-09,2013-09-08,2013-09-08,0,0,935,0,0 +258,crissie wilson,crissie,wilson,2013-02-18,Female,1984-01-04,32,25 - 45,African-American,0,7,0,0,5,-1,2013-02-17 07:51:04,2013-02-18 10:17:02,13002448CF10A,2013-02-17,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-18,Risk of Violence,3,Low,2013-02-18,2013-02-17,2013-02-18,5,0,1138,0,0 +259,justo arias,justo,arias,2013-03-05,Male,1963-12-18,52,Greater than 45,Hispanic,0,1,0,0,2,-1,2013-03-04 10:07:00,2013-03-07 11:56:36,13018844TC10A,2013-03-04,,1,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,1,Low,2013-03-05,2013-06-21,2013-07-26,2,2,108,0,0 +260,curtis ross,curtis,ross,2013-02-05,Male,1954-02-20,62,Greater than 45,African-American,0,4,0,0,8,0,2013-02-05 12:23:14,2013-02-21 04:06:55,13001749CF10A,2013-02-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-02-05,2013-02-21,8,16,1151,0,0 +262,melody ford,melody,ford,2013-04-22,Female,1978-08-09,37,25 - 45,Caucasian,0,10,0,0,6,-110,2013-01-02 12:30:44,2013-04-18 09:04:00,13000026CF10A,2013-01-01,,111,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-22,Risk of Violence,4,Low,2013-04-22,2014-06-13,2014-12-18,6,0,417,0,0 +263,michael loughran,michael,loughran,2013-09-10,Male,1960-08-29,55,Greater than 45,Caucasian,0,1,0,0,1,-45,2013-07-27 04:18:41,2013-08-14 12:12:39,13010542CF10A,2013-07-27,,45,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-07-27,2013-08-14,1,0,934,0,0 +264,alonso delcarpio,alonso,delcarpio,2013-07-25,Male,1984-10-28,31,25 - 45,Hispanic,0,9,0,0,8,29,2013-08-23 05:18:39,2013-12-18 10:43:00,12018752CF10A,,2013-05-25,61,F,arrest case no charge,1,14005411MM10A,(M1),0,2014-03-29,Unlaw Use False Name/Identity,2014-03-29,2014-06-24,,0,,,,,Risk of Recidivism,9,High,2013-07-25,Risk of Violence,7,Medium,2013-07-25,2013-08-23,2013-12-18,8,0,29,0,1 +265,darasan bispham,darasan,bispham,2013-03-18,Male,1987-05-19,28,25 - 45,African-American,0,6,0,0,6,-1,2013-03-17 09:01:58,2013-03-18 01:40:10,13005239MM10A,2013-03-17,,1,M,Resist/Obstruct W/O Violence,1,14060125TC30A,(M2),,2014-07-13,Fail Register Vehicle,,,,1,15003512CF10A,(F2),2015-03-15,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-03-18,Risk of Violence,6,Medium,2013-03-18,2016-03-01,2016-03-17,6,0,482,1,1 +266,oscar lloranzo,oscar,lloranzo,2013-08-29,Male,1962-04-15,54,Greater than 45,Hispanic,0,1,0,0,2,-1,2013-08-28 02:23:37,2014-03-04 11:31:17,13012142CF10A,2013-08-28,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-29,Risk of Violence,1,Low,2013-08-29,2013-08-28,2014-03-04,2,187,946,0,0 +267,domingo martinez,domingo,martinez,2013-03-14,Male,1957-08-04,58,Greater than 45,Hispanic,0,2,0,0,0,-1,2013-03-13 10:02:13,2013-03-14 02:21:27,13003707CF10A,2013-03-13,,1,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-14,Risk of Violence,1,Low,2013-03-14,2014-01-10,2014-03-28,0,0,302,0,0 +268,kwai lam,kwai,lam,2014-09-20,Male,1937-10-15,78,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-09-19 10:36:52,2014-09-20 07:10:15,14034104MU10A,2014-09-19,,1,M,Driving Under The Influence,1,15009652CF10A,(F3),,2015-07-27,Leaving the Scene of Accident,,,,0,,,,,Risk of Recidivism,1,Low,2014-09-20,Risk of Violence,1,Low,2014-09-20,2014-09-19,2014-09-20,1,0,310,1,1 +269,marcial regidor,marcial,regidor,2014-03-03,Male,1959-12-31,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-02 03:51:04,2014-03-03 07:47:20,14002945CF10A,2014-03-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-02,2014-03-03,0,0,760,0,0 +271,shourav rahman,shourav,rahman,2014-01-14,Male,1992-01-07,24,Less than 25,Other,0,2,0,0,0,-1,2014-01-13 09:13:09,2014-01-15 08:37:12,14000576CF10A,2014-01-13,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-14,Risk of Violence,4,Low,2014-01-14,2014-01-13,2014-01-15,0,1,808,0,0 +272,dyer smith,dyer,smith,2014-09-09,Male,1977-10-06,38,25 - 45,African-American,2,8,2,1,22,-34,2014-08-06 12:10:51,2014-09-09 10:37:20,14010711CF10A,2014-08-05,,35,F,Child Abuse,1,15000813MM30A,(M1),51,2015-05-05,Possess Cannabis/20 Grams Or Less,2015-06-25,2015-07-08,,0,,,,,Risk of Recidivism,8,High,2014-09-09,Risk of Violence,5,Medium,2014-09-09,2015-09-09,2015-10-07,22,0,238,1,1 +275,allen roundtree,allen,roundtree,2014-04-24,Male,1994-04-17,22,Less than 25,African-American,0,5,0,0,1,0,2014-04-24 01:23:50,2014-04-24 01:25:52,14005656CF10A,2014-04-23,,1,F,Pos Cannabis W/Intent Sel/Del,1,14084371TC20A,(M2),,2014-11-10,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2014-04-24,Risk of Violence,5,Medium,2014-04-24,2014-04-24,2014-04-24,1,0,200,1,1 +277,douglas jones,douglas,jones,2013-02-03,Male,1968-05-13,47,Greater than 45,African-American,0,8,0,0,23,-1,2013-02-02 08:19:13,2013-02-03 05:06:15,13002407MM10A,2013-02-02,,1,M,Possess Cannabis/20 Grams Or Less,1,13002174CF10A,(F3),0,2013-02-12,Grand Theft in the 3rd Degree,2013-02-12,2013-03-18,,0,,,,,Risk of Recidivism,8,High,2013-02-03,Risk of Violence,1,Low,2013-02-03,2013-02-12,2013-03-18,23,0,9,1,1 +278,colin jones,colin,jones,2014-01-06,Male,1992-08-30,23,Less than 25,African-American,0,2,0,0,0,-1,2014-01-05 11:08:48,2014-01-06 12:02:14,14000198MM10A,2014-01-05,,1,M,Battery,1,14010176MM10A,(M1),0,2014-07-01,Extradition/Defendants,2014-07-01,2014-07-10,,0,,,,,Risk of Recidivism,2,Low,2014-01-06,Risk of Violence,4,Low,2014-01-06,2014-07-01,2014-07-10,0,0,176,1,1 +279,ronald castaneda,ronald,castaneda,2013-10-25,Male,1958-05-31,57,Greater than 45,Hispanic,0,1,0,0,1,0,2013-10-25 09:20:19,2013-11-14 02:05:31,13014942CF10A,2013-10-25,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-25,Risk of Violence,1,Low,2013-10-25,2013-10-25,2013-11-14,1,20,889,0,0 +280,valerie valletta,valerie,valletta,2013-07-10,Female,1977-06-30,38,25 - 45,Caucasian,0,5,0,0,2,-35,2013-06-05 06:36:18,2013-06-06 06:23:54,13007984CF10A,2013-06-05,,35,F,Possession of Cocaine,1,13023004MM10A,(M1),0,2013-12-12,Unlaw Use False Name/Identity,2013-12-12,2013-12-20,,0,,,,,Risk of Recidivism,5,Medium,2013-07-10,Risk of Violence,2,Low,2013-07-10,2013-12-12,2013-12-20,2,0,155,1,1 +281,richard roberts,richard,roberts,2013-06-11,Male,1949-09-14,66,Greater than 45,African-American,0,1,0,0,3,-10,2013-06-01 11:04:44,2013-06-03 11:25:14,13007789CF10A,2013-06-01,,10,F,Agg Battery Grt/Bod/Harm,1,16000414MM20A,(M1),,2016-01-10,Battery,,,,1,16000414MM20A,(M1),2016-01-10,Battery,Risk of Recidivism,1,Low,2013-06-11,Risk of Violence,1,Low,2013-06-11,2013-06-01,2013-06-03,3,0,943,1,0 +282,william malo,william,malo,2014-02-17,Male,1970-10-30,45,Greater than 45,Caucasian,0,4,0,0,8,0,2014-02-17 02:38:50,2014-04-29 04:18:29,14002730MM10A,2014-02-17,,0,M,Viol Injunct Domestic Violence,1,15011989MM10A,(M1),,2015-11-17,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-17,Risk of Violence,3,Low,2014-02-17,2015-09-24,2015-10-05,8,71,584,0,1 +285,charmaine ramkhelawan,charmaine,ramkhelawan,2013-07-22,Female,1964-04-16,52,Greater than 45,Other,0,3,0,0,0,,,,,,,,M,,1,14073509TC20A,(M2),,2014-10-14,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-22,Risk of Violence,1,Low,2013-07-22,,,0,0,449,1,1 +286,octavious gore,octavious,gore,2013-08-28,Male,1983-12-10,32,25 - 45,African-American,0,10,0,0,13,289,2014-06-13 03:07:06,2014-09-18 07:02:35,13012102CF10A,2013-08-27,,1,F,Poss Cocaine/Intent To Del/Sel,1,14008195CF10A,(F3),0,2014-06-13,Possession of Cocaine,2014-06-13,2014-09-18,,0,,,,,Risk of Recidivism,10,High,2013-08-28,Risk of Violence,7,Medium,2013-08-28,2014-06-13,2014-09-18,13,0,289,1,1 +287,aaron eddins,aaron,eddins,2013-12-24,Male,1978-12-03,37,25 - 45,African-American,0,9,0,0,2,0,2013-12-24 03:40:12,2013-12-24 08:53:51,13023727MM10A,2013-12-24,,0,M,Battery,1,14005925MM10A,(M1),0,2014-04-07,Battery,2014-04-07,2014-05-09,,1,14005925MM10A,(M1),2014-04-07,Battery,Risk of Recidivism,9,High,2013-12-24,Risk of Violence,8,High,2013-12-24,2014-04-07,2014-05-09,2,0,104,1,1 +288,paolo mannino,paolo,mannino,2014-03-02,Male,1977-03-08,39,25 - 45,Caucasian,0,4,0,0,0,0,2014-03-02 05:08:46,2014-03-03 03:17:00,14002946CF10A,2014-03-02,,0,F,Possession Of Methamphetamine,1,15004071CF10A,(M1),1,2015-03-26,Possess Drug Paraphernalia,2015-03-27,2015-05-07,,0,,,,,Risk of Recidivism,4,Low,2014-03-02,Risk of Violence,4,Low,2014-03-02,2014-03-02,2014-03-03,0,1,389,1,1 +289,tron clark,tron,clark,2014-11-14,Male,1990-01-15,26,25 - 45,African-American,0,9,0,0,9,0,2014-11-14 01:28:54,2015-02-01 08:34:27,14015288CF10A,2014-11-13,,1,F,Deliver Cocaine,1,15005911CF10A,(F3),0,2015-05-06,Poss Pyrrolidinovalerophenone,2015-05-06,2015-08-20,,0,,,,,Risk of Recidivism,9,High,2014-11-14,Risk of Violence,8,High,2014-11-14,2015-05-06,2015-08-20,9,79,173,1,1 +291,shad campbell,shad,campbell,2013-02-01,Male,1970-12-18,45,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-01-31 04:11:55,2014-01-25 03:27:03,13001562CF10A,2013-01-31,,1,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-01,Risk of Violence,4,Low,2013-02-01,2013-01-31,2014-01-25,2,358,1155,0,0 +293,delmario watt,delmario,watt,2014-04-26,Male,1992-12-18,23,Less than 25,African-American,0,3,0,0,0,-1,2014-04-25 10:29:59,2014-04-26 09:57:20,14005797CF10A,2014-04-25,,1,F,Possession of Cannabis,1,15003342CF10A,(F2),0,2015-03-12,Robbery W/Firearm,2015-03-12,2015-09-21,,1,15003342CF10A,(F2),2015-03-12,Robbery W/Firearm,Risk of Recidivism,3,Low,2014-04-26,Risk of Violence,4,Low,2014-04-26,2015-03-12,2015-09-21,0,0,320,1,1 +294,clifton mccree,clifton,mccree,2014-01-31,Male,1982-03-05,34,25 - 45,African-American,0,2,0,0,2,0,2014-01-31 12:35:27,2014-02-26 05:50:20,14001687MM10A,2014-01-30,,1,M,Battery,1,16002539CF10A,(F3),0,2016-02-28,,2016-02-28,2016-03-22,,0,,,,,Risk of Recidivism,2,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2016-02-28,2016-03-22,2,26,758,1,0 +297,kerry gonzalez,kerry,gonzalez,2013-08-21,Female,1992-04-20,23,Less than 25,African-American,0,4,0,0,1,-1,2013-08-20 11:57:06,2013-08-21 07:50:16,13015960MM10A,2013-08-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-21,Risk of Violence,4,Low,2013-08-21,2013-08-20,2013-08-21,1,0,954,0,0 +298,cachaloni frank,cachaloni,frank,2014-01-28,Male,1979-10-14,36,25 - 45,Other,0,3,0,0,2,-1,2014-01-27 10:23:53,2014-01-30 10:04:48,14001518MM10A,2014-01-27,,1,M,Battery,1,15012142CF10A,(F2),0,2015-09-18,Poss of Firearm by Convic Felo,2015-09-18,2015-12-04,,0,,,,,Risk of Recidivism,3,Low,2014-01-28,Risk of Violence,1,Low,2014-01-28,2015-09-18,2015-12-04,2,2,598,1,1 +299,douglas eaton,douglas,eaton,2013-09-16,Male,1965-05-28,50,Greater than 45,Caucasian,0,1,0,0,1,-4,2013-09-12 09:32:07,2013-09-14 03:06:18,16000586CF10A,2013-09-12,,4,F,Sexual Performance by a Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2016-02-12,2016-02-13,1,0,879,0,0 +300,stephanie harvey,stephanie,harvey,2013-11-08,Female,1978-08-31,37,25 - 45,Caucasian,0,3,0,0,0,-1,2013-11-07 02:53:47,2013-11-07 09:00:57,13021013MM10A,2013-11-07,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2013-11-07,2013-11-07,0,0,875,0,0 +301,jason cypress,jason,cypress,2013-01-06,Male,1972-01-16,44,25 - 45,Caucasian,0,4,0,0,4,0,2013-01-06 04:51:37,2013-01-07 10:41:46,13000313MM10A,2013-01-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-06,Risk of Violence,4,Low,2013-01-06,2013-01-06,2013-01-07,4,1,1181,0,0 +302,lakisha davis,lakisha,davis,2014-07-13,Female,1981-01-20,35,25 - 45,African-American,0,9,1,0,23,-1,2014-07-12 03:02:54,2014-07-14 05:19:00,14009552CF10A,2014-07-12,,1,F,Felony Petit Theft,1,15006897CF10A,(F3),,2015-05-27,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,9,High,2014-07-13,Risk of Violence,9,High,2014-07-13,2014-07-12,2014-07-14,23,1,318,1,1 +304,kerr mcbean,kerr,mcbean,2014-10-08,Male,1991-10-06,24,Less than 25,Other,0,5,0,0,5,-1,2014-10-07 12:01:33,2014-10-08 08:26:09,14012958CF10A,,2014-10-07,1,F,arrest case no charge,1,14016435CF10A,(F3),,2014-12-01,False Ownership Info/Pawn Item,,,,0,,,,,Risk of Recidivism,5,Medium,2014-10-08,Risk of Violence,4,Low,2014-10-08,2014-10-07,2014-10-08,5,0,54,1,1 +306,michael sexton,michael,sexton,2013-04-18,Male,1990-04-12,26,25 - 45,African-American,0,10,0,0,2,-1,2013-04-17 06:43:21,2013-04-18 10:07:23,13005483CF10A,2013-04-17,,1,F,Fleeing Or Attmp Eluding A Leo,1,14006182CF10A,(F3),1,2014-05-02,"Poss3,4 Methylenedioxymethcath",2014-05-03,2014-05-24,,0,,,,,Risk of Recidivism,10,High,2013-04-18,Risk of Violence,8,High,2013-04-18,2015-08-18,2015-09-05,2,0,379,1,1 +308,adrean reid,adrean,reid,2013-03-26,Male,1988-08-11,27,25 - 45,African-American,0,2,0,0,0,-1,2013-03-25 12:25:41,2013-03-28 05:58:56,13004320CF10A,2013-03-25,,1,M,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-26,Risk of Violence,3,Low,2013-03-26,2013-03-25,2013-03-28,0,2,1102,0,0 +310,winnie nerestant,winnie,nerestant,2013-10-29,Female,1988-04-13,28,25 - 45,African-American,0,8,0,0,0,0,2013-10-29 04:01:57,2013-11-27 06:51:07,13015115CF10A,2013-10-28,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-29,Risk of Violence,6,Medium,2013-10-29,2013-10-29,2013-11-27,0,29,885,0,0 +311,frank gadman,frank,gadman,2013-03-26,Male,1973-01-27,43,25 - 45,Caucasian,0,5,0,0,11,49,2013-05-14 01:49:40,2013-09-12 07:19:52,12017664CF10A,,2013-01-29,56,F,arrest case no charge,1,13009339MM10A,(M1),1,2013-05-13,Battery,2013-05-14,2013-09-12,,1,13009339MM10A,(M1),2013-05-13,Battery,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,3,Low,2013-03-26,2013-09-12,2014-10-01,11,0,48,1,1 +313,briteny williams,briteny,williams,2013-10-10,Female,1988-01-12,28,25 - 45,Caucasian,0,9,0,0,7,-1,2013-10-09 09:15:07,2013-10-10 09:46:20,13014154CF10A,2013-10-09,,1,F,Felony Petit Theft,1,14015569CF10A,(F3),,2014-05-14,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,9,High,2013-10-10,Risk of Violence,6,Medium,2013-10-10,2015-11-19,2020-01-01,7,0,216,1,1 +315,damond craig,damond,craig,2013-03-20,Male,1977-06-11,38,25 - 45,African-American,0,1,0,0,2,-1,2013-03-19 04:21:06,2013-03-20 09:34:48,13004002CF10A,2013-03-19,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-05-20,2013-05-20,2,0,61,0,0 +316,justin castellanos,justin,castellanos,2014-02-26,Male,1989-03-16,27,25 - 45,Caucasian,0,4,0,0,2,-36,2014-01-21 10:31:38,2014-02-26 10:40:06,14000870CF10A,2014-01-21,,36,M,Trespass Struct/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-26,Risk of Violence,3,Low,2014-02-26,2014-01-21,2014-02-26,2,0,765,0,0 +317,jenay doe,jenay,doe,2013-01-02,Female,1987-10-07,28,25 - 45,African-American,0,9,0,0,1,-1,2013-01-01 06:27:15,2013-02-09 02:24:08,13000032CF10A,,2013-01-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-02,Risk of Violence,7,Medium,2013-01-02,2015-06-10,2015-08-28,1,38,889,0,0 +319,henry nesbitt,henry,nesbitt,2013-03-20,Male,1959-12-26,56,Greater than 45,Caucasian,0,1,0,0,7,-1,2013-03-19 11:00:49,2013-03-20 01:32:28,13003999CF10A,2013-03-19,,1,F,Felony Driving While Lic Suspd,1,14003046TC10A,(M2),,2013-11-20,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-19,2013-03-20,7,0,245,1,1 +320,andreas fountain,andreas,fountain,2013-02-19,Male,1977-08-08,38,25 - 45,African-American,0,9,0,0,15,-1,2013-02-18 09:26:05,2013-02-20 03:43:56,13002469CF10A,2013-02-18,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-18,2013-02-20,15,1,1137,0,0 +321,joshua edmond,joshua,edmond,2013-10-31,Male,1987-10-28,28,25 - 45,African-American,0,5,0,0,2,-1,2013-10-30 07:57:19,2013-10-31 01:45:23,07028509MM10A,2007-12-15,,2147,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-31,Risk of Violence,4,Low,2013-10-31,2013-10-30,2013-10-31,2,0,883,0,0 +322,clinton johnson,clinton,johnson,2013-01-10,Male,1971-02-08,45,Greater than 45,African-American,0,6,0,0,3,104,2013-04-24 12:56:21,2013-11-29 03:06:21,12016802CF10A,,2012-12-18,23,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-10,Risk of Violence,4,Low,2013-01-10,2013-04-24,2013-11-29,3,0,104,0,0 +323,williams rodriguez,williams,rodriguez,2013-01-04,Male,1987-06-14,28,25 - 45,Hispanic,0,2,0,0,0,,,,12026489MM10A,2012-12-30,,5,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-04,Risk of Violence,3,Low,2013-01-04,,,0,0,1183,0,0 +325,jon fried,jon,fried,2013-03-20,Male,1954-10-19,61,Greater than 45,Caucasian,0,1,0,0,1,-34,2013-02-14 11:17:01,2013-02-15 07:40:39,13002308CF10A,,2013-02-14,34,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-02-14,2013-02-15,1,0,1108,0,0 +326,tamara powers,tamara,powers,2014-01-13,Female,1964-12-08,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-12 08:37:58,2014-01-13 02:00:36,14001458MU10A,2014-01-12,,1,M,Driving Under The Influence,1,14010147MM10A,(M1),0,2014-07-01,Battery,2014-07-01,2014-09-06,,1,14010147MM10A,(M1),2014-07-01,Battery,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-07-01,2014-09-06,0,0,169,1,1 +327,matthew dukes,matthew,dukes,2013-10-31,Male,1965-01-27,51,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-10-30 11:27:14,2013-10-31 08:46:16,13020585MM10A,2013-10-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-31,Risk of Violence,2,Low,2013-10-31,2013-10-30,2013-10-31,0,0,883,0,0 +329,keron edwards,keron,edwards,2013-01-07,Male,1979-05-18,36,25 - 45,Other,0,1,0,0,1,-1,2013-01-06 09:15:11,2013-01-07 11:01:40,13000317MM10A,2013-01-06,,1,M,Possess Cannabis/20 Grams Or Less,1,13036282TC10A,(M2),0,2013-08-24,Driving License Suspended,2013-08-24,2013-08-24,,0,,,,,Risk of Recidivism,1,Low,2013-01-07,Risk of Violence,1,Low,2013-01-07,2013-08-24,2013-08-24,1,0,229,0,1 +330,henson thomas,henson,thomas,2013-01-13,Male,1967-08-06,48,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-12 06:40:25,2013-01-13 09:03:52,13000573CF10A,2013-01-12,,1,F,Aggravated Battery (Firearm/Actual Possession),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0 +331,shawn rheal,shawn,rheal,2013-04-17,Male,1978-08-07,37,25 - 45,Caucasian,0,3,0,0,4,0,2013-04-17 04:44:25,2013-04-19 01:08:53,13003798CF10A,,2013-04-17,0,F,arrest case no charge,1,14003906MM40A,(M2),3,2014-09-15,Petit Theft,2014-09-18,2014-10-09,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,4,Low,2013-04-17,2013-04-17,2013-04-19,4,2,516,1,1 +332,jessica charnel,jessica,charnel,2013-05-13,Female,1985-07-17,30,25 - 45,African-American,0,7,0,0,2,-1,2013-05-12 06:56:40,2013-05-15 02:06:25,13006795CF10A,2013-05-12,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-13,Risk of Violence,4,Low,2013-05-13,2013-05-12,2013-05-15,2,2,1054,0,0 +333,tumeka warner,tumeka,warner,2013-11-05,Female,1974-04-25,41,25 - 45,African-American,0,6,0,0,5,0,2013-11-05 02:09:51,2013-11-05 07:57:55,13020890MM10A,2013-11-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-05,Risk of Violence,3,Low,2013-11-05,2013-11-05,2013-11-05,5,0,878,0,0 +334,jerry cheristil,jerry,cheristil,2013-04-24,Male,1988-09-24,27,25 - 45,African-American,0,10,0,0,11,-1,2013-04-23 07:22:20,2013-12-02 11:28:01,13005813CF10A,2013-04-23,,1,F,Robbery / No Weapon,1,14010056CF10A,(F3),,2014-07-01,Crim Use of Personal ID Info,,,,0,,,,,Risk of Recidivism,10,High,2013-04-24,Risk of Violence,9,High,2013-04-24,2013-04-23,2013-12-02,11,222,433,1,1 +335,kip stubbs,kip,stubbs,2013-02-17,Male,1979-04-03,37,25 - 45,African-American,0,1,0,0,0,-1,2013-02-16 07:22:50,2013-02-18 02:10:02,13003388MM10A,2013-02-16,,1,M,Battery,1,15007263MM10A,(M1),0,2015-07-07,Battery,2015-07-07,2015-07-20,,1,15007263MM10A,(M1),2015-07-07,Battery,Risk of Recidivism,1,Low,2013-02-17,Risk of Violence,1,Low,2013-02-17,2015-07-07,2015-07-20,0,1,870,1,0 +336,kerlon coomansingh,kerlon,coomansingh,2014-04-30,Male,1983-02-01,33,25 - 45,Other,0,4,0,0,4,0,2014-04-30 02:37:51,2014-05-02 05:55:00,14006015CF10A,2014-04-29,,1,F,Aggravated Assault w/Firearm,1,15000829MM20A,(M1),,2015-03-10,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2014-04-30,Risk of Violence,2,Low,2014-04-30,2014-04-30,2014-05-02,4,2,314,1,1 +337,shawn siler,shawn,siler,2013-05-07,Male,1961-08-23,54,Greater than 45,African-American,0,9,0,0,11,-1,2013-05-06 08:51:14,2013-09-13 05:58:39,13006472CF10A,2013-05-06,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-07,Risk of Violence,9,High,2013-05-07,2013-05-06,2013-09-13,11,129,1060,0,0 +338,kriston douglas,kriston,douglas,2013-05-09,Male,1992-08-26,23,Less than 25,African-American,0,9,0,0,2,-1,2013-05-08 10:09:34,2013-07-19 06:36:57,13006694CF10A,2013-05-08,,1,F,Robbery / Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-09,Risk of Violence,5,Medium,2013-05-09,2013-05-08,2013-07-19,2,71,1058,0,0 +341,allana jones,allana,jones,2014-07-29,Female,1990-03-15,26,25 - 45,African-American,0,4,0,0,2,-227,2013-12-14 11:19:35,2014-07-29 11:06:26,13017291CF10A,,2013-12-14,227,F,arrest case no charge,1,15033947TC30A,(M2),,2015-05-08,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2014-07-29,Risk of Violence,6,Medium,2014-07-29,2013-12-14,2014-07-29,2,0,283,1,1 +344,tania quinonez,tania,quinonez,2014-01-25,Male,1974-08-07,41,25 - 45,African-American,0,1,0,0,0,0,2014-01-25 09:44:01,2014-01-26 06:31:19,14001403MM10A,2014-01-25,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2014-01-25,2014-01-26,0,1,797,0,0 +345,edward connell,edward,connell,2013-05-16,Male,1964-02-10,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-15 11:15:03,2013-05-16 08:50:44,13006960CF10A,2013-05-15,,1,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-16,Risk of Violence,1,Low,2013-05-16,2013-05-15,2013-05-16,0,0,1051,0,0 +347,eric avery,eric,avery,2013-02-20,Male,1972-06-07,43,25 - 45,Caucasian,0,4,0,0,13,0,2013-02-20 01:55:05,2013-04-12 09:45:26,13002509CF10A,2013-02-19,,1,F,Driving While License Revoked,1,13010684CF10A,(F3),0,2013-07-31,Possession Of Heroin,2013-07-31,2014-03-18,,0,,,,,Risk of Recidivism,4,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-07-31,2014-03-18,13,51,161,1,1 +348,robert dukes,robert,dukes,2014-02-04,Male,1964-02-12,52,Greater than 45,African-American,0,4,0,0,0,-1,2014-02-03 03:50:35,2014-02-17 02:20:23,14001502CF10A,2014-02-03,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-04,Risk of Violence,3,Low,2014-02-04,2014-02-03,2014-02-17,0,13,787,0,0 +349,michael cunningham,michael,cunningham,2013-05-17,Male,1987-07-21,28,25 - 45,Caucasian,0,1,0,0,1,-3,2013-05-14 04:20:05,2013-05-17 10:53:34,09011413CF10A,,2013-05-14,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-17,Risk of Violence,2,Low,2013-05-17,2013-05-14,2013-05-17,1,0,1050,0,0 +350,willie sims,willie,sims,2014-08-06,Male,1985-10-26,30,25 - 45,African-American,0,9,0,2,11,-1,2014-08-05 03:19:41,2014-08-06 08:40:28,14011853MM10A,2014-08-05,,1,M,Battery,1,14017107MM10A,(M1),0,2014-12-03,Trespass After Warning,2014-12-03,2014-12-09,,1,15000025CF10A,(F1),2014-12-20,Robbery W/Firearm,Risk of Recidivism,9,High,2014-08-06,Risk of Violence,4,Low,2014-08-06,2014-12-03,2014-12-09,11,0,119,1,1 +351,bret petit,bret,petit,2013-09-27,Male,1987-05-13,28,25 - 45,Caucasian,0,5,0,0,1,0,2013-09-27 04:35:20,2013-10-03 08:39:37,13013598CF10A,2013-09-27,,0,F,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-27,Risk of Violence,3,Low,2013-09-27,2013-09-27,2013-10-03,1,6,917,0,0 +354,william st fleur,william,st fleur,2013-02-22,Male,1993-09-29,22,Less than 25,African-American,0,4,0,0,0,-1,2013-02-21 03:42:13,2013-02-22 01:52:11,13002685CF10A,2013-02-21,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-22,Risk of Violence,6,Medium,2013-02-22,2013-02-21,2013-02-22,0,0,1134,0,0 +355,gylier lewis,gylier,lewis,2013-03-05,Male,1985-05-18,30,25 - 45,African-American,0,2,0,0,4,0,2013-03-05 04:44:39,2013-03-05 01:41:22,13003312CF10A,2013-03-05,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-05,Risk of Violence,2,Low,2013-03-05,2013-03-05,2013-03-05,4,0,1123,0,0 +356,giovanni potesta,giovanni,potesta,2013-11-03,Male,1990-06-29,25,25 - 45,Hispanic,0,4,0,0,4,0,2013-11-03 02:47:28,2013-11-04 07:59:32,13015319CF10A,2013-11-03,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-03,Risk of Violence,4,Low,2013-11-03,2013-11-03,2013-11-04,4,1,880,0,0 +357,krishna sookram,krishna,sookram,2014-12-31,Male,1984-08-15,31,25 - 45,Caucasian,0,8,0,0,0,-1,2014-12-30 04:53:40,2015-01-30 04:31:37,14017187CF10A,2014-12-30,,1,F,Burglary Unoccupied Dwelling,1,16001829CF10A,(F2),0,2016-02-05,Wear Mask w/Commit Offense,2016-02-05,2016-03-18,,0,,,,,Risk of Recidivism,8,High,2014-12-31,Risk of Violence,5,Medium,2014-12-31,2016-02-05,2016-03-18,0,30,401,1,1 +358,kelly payne,kelly,payne,2014-04-19,Male,1978-07-23,37,25 - 45,Caucasian,0,2,0,0,0,-1,2014-04-18 05:22:38,2014-05-23 05:31:44,14005430CF10A,2014-04-18,,1,F,Grand Theft in the 3rd Degree,1,15000286MM20A,(M1),,2014-12-27,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,2,Low,2014-04-19,Risk of Violence,1,Low,2014-04-19,2014-10-08,2014-10-26,0,34,172,0,1 +359,gerald magnus,gerald,magnus,2013-12-17,Male,1983-05-20,32,25 - 45,African-American,0,9,1,0,14,-1,2013-12-16 05:05:35,2013-12-17 08:47:25,13017383CF10A,2013-12-16,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-17,Risk of Violence,8,High,2013-12-17,2013-12-16,2013-12-17,14,0,836,0,0 +360,devonn singletary,devonn,singletary,2013-09-11,Male,1989-08-21,26,25 - 45,African-American,0,8,1,0,4,649,2015-06-22 09:31:25,2015-09-06 07:25:45,09001823MM30A,2009-06-02,,1562,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-11,Risk of Violence,6,Medium,2013-09-11,2015-06-22,2015-09-06,4,0,649,0,0 +361,michael gellert,michael,gellert,2013-01-16,Male,1962-11-03,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-15 05:53:17,2013-01-16 07:01:06,13001030MM10A,2013-01-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-16,Risk of Violence,1,Low,2013-01-16,2013-01-15,2013-01-16,1,0,1171,0,0 +362,tyvon elisias,tyvon,elisias,2013-12-10,Male,1988-03-12,28,25 - 45,African-American,0,8,0,0,25,29,2014-01-08 11:38:20,2014-02-03 10:50:45,13013857CF10A,,2013-10-01,70,F,arrest case no charge,1,14004583CF10A,(F3),,2014-03-15,Burglary Structure Unoccup,,,,0,,,,,Risk of Recidivism,8,High,2013-12-10,Risk of Violence,9,High,2013-12-10,2014-01-08,2014-02-03,25,0,29,0,1 +363,earl booth,earl,booth,2013-04-11,Male,1971-10-16,44,25 - 45,Caucasian,0,5,0,0,8,-1,2013-04-10 09:31:05,2013-04-15 09:09:29,13006980MM10A,2013-04-10,,1,M,Battery,1,13003502MM40A,(M1),294,2013-08-25,Resist/Obstruct W/O Violence,2014-06-15,2014-06-16,,0,,,,,Risk of Recidivism,5,Medium,2013-04-11,Risk of Violence,3,Low,2013-04-11,2013-04-10,2013-04-15,8,4,136,1,1 +364,jose louis,jose,louis,2013-09-06,Male,1990-09-08,25,25 - 45,African-American,0,3,0,0,0,0,2013-09-06 01:00:30,2013-09-06 09:12:00,13012559CF10A,2013-09-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-06,2013-09-06,0,0,938,0,0 +366,luis velasco,luis,velasco,2013-01-31,Male,1994-04-16,22,Less than 25,Caucasian,0,8,0,1,1,0,2013-01-31 12:38:45,2013-02-06 11:18:24,13002163MM10A,2013-01-31,,0,M,Voyeurism,1,14009724CF10A,(F3),0,2014-07-16,Grand Theft in the 3rd Degree,2014-07-16,2014-07-23,,0,,,,,Risk of Recidivism,8,High,2013-01-31,Risk of Violence,7,Medium,2013-01-31,2014-07-16,2014-07-23,1,6,531,1,1 +369,patria barnes,patria,barnes,2013-12-09,Female,1978-06-06,37,25 - 45,Other,0,1,0,0,0,-1,2013-12-08 01:55:28,2013-12-09 02:00:59,13022717MM10A,2013-12-07,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,2013-12-08,2013-12-09,0,0,844,0,0 +372,claire aspelly,claire,aspelly,2013-10-23,Female,1975-06-08,40,25 - 45,Other,0,2,0,0,3,-1,2013-10-22 09:03:15,2013-10-23 09:05:27,13014829CF10A,2013-10-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2013-10-22,2013-10-23,3,0,891,0,0 +374,anthony kasprow,anthony,kasprow,2014-03-11,Male,1980-01-31,36,25 - 45,Caucasian,0,7,0,0,8,150,2014-08-08 04:01:22,2014-08-30 08:45:38,14003451CF10A,2014-03-11,,0,F,Felony Driving While Lic Suspd,1,14012031MM10A,(M1),0,2014-08-08,Battery,2014-08-08,2014-08-30,,1,14012031MM10A,(M1),2014-08-08,Battery,Risk of Recidivism,7,Medium,2014-03-11,Risk of Violence,9,High,2014-03-11,2014-08-08,2014-08-30,8,0,150,1,1 +375,michael mackrell,michael,mackrell,2014-02-12,Male,1985-05-14,30,25 - 45,Caucasian,0,2,0,0,4,-140,2013-09-25 02:54:17,2013-11-26 12:02:49,13013491CF10A,2013-09-25,,140,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-12,Risk of Violence,2,Low,2014-02-12,2013-09-25,2013-11-26,4,0,779,0,0 +376,mark plummer,mark,plummer,2014-03-18,Male,1993-12-22,22,Less than 25,African-American,0,9,0,0,3,161,2014-08-26 09:15:02,2014-08-27 04:21:56,13016165MM10A,2013-08-22,,208,M,Prowling/Loitering,1,14016921TC10A,(M2),128,2014-04-20,Unlaw LicTag/Sticker Attach,2014-08-26,2014-08-27,,1,14017564MM10A,(M1),2014-12-14,Battery,Risk of Recidivism,9,High,2014-03-18,Risk of Violence,9,High,2014-03-18,2016-03-05,2016-03-21,3,0,33,1,1 +377,ashley emond,ashley,emond,2013-09-30,Female,1991-05-18,24,Less than 25,Caucasian,0,7,0,0,1,-32,2013-08-29 02:32:59,2013-09-27 06:25:27,13016565MM10A,2013-08-29,,32,M,Battery,1,14015676MM10A,(M1),0,2014-10-29,Battery,2014-10-29,2014-10-30,,1,14015676MM10A,(M1),2014-10-29,Battery,Risk of Recidivism,7,Medium,2013-09-30,Risk of Violence,5,Medium,2013-09-30,2014-10-29,2014-10-30,1,0,394,1,1 +378,antonio cooper,antonio,cooper,2014-07-09,Male,1989-02-07,27,25 - 45,African-American,0,2,0,0,3,-44,2014-05-26 12:17:57,2014-06-02 06:46:02,14008448MM10A,2014-05-24,,46,M,Viol Prot Injunc Repeat Viol,1,15008890CF10A,(F3),0,2015-07-10,Poss Pyrrolidinovalerophenone,2015-07-10,2015-07-12,,0,,,,,Risk of Recidivism,2,Low,2014-07-09,Risk of Violence,3,Low,2014-07-09,2015-07-10,2015-07-12,3,0,366,1,1 +379,andrea rojas,andrea,rojas,2013-03-09,Female,1984-10-16,31,25 - 45,Hispanic,0,2,0,0,0,-1,2013-03-08 09:57:50,2013-03-09 07:56:27,13004727MM10A,2013-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-09,Risk of Violence,2,Low,2013-03-09,2013-03-08,2013-03-09,0,0,1119,0,0 +381,jhonatan franco,jhonatan,franco,2013-01-31,Male,1992-05-29,23,Less than 25,Hispanic,0,6,0,1,1,-1,2013-01-30 01:13:56,2013-01-31 07:24:25,13001516CF10A,,2013-01-30,1,F,arrest case no charge,1,13005901CF10A,(F3),1,2013-04-23,Grand Theft in the 3rd Degree,2013-04-24,2013-04-25,,0,,,,,Risk of Recidivism,6,Medium,2013-01-31,Risk of Violence,4,Low,2013-01-31,2013-04-24,2013-04-25,1,0,82,1,1 +382,erin hoppus,erin,hoppus,2014-03-12,Female,1992-05-13,23,Less than 25,Caucasian,0,5,0,4,5,-1,2014-03-11 07:31:05,2014-03-12 01:39:43,14003430CF10A,,2014-03-11,1,F,arrest case no charge,1,15014607CF10A,(M1),0,2015-11-09,Possess Drug Paraphernalia,2015-11-09,2015-11-10,,0,,,,,Risk of Recidivism,5,Medium,2014-03-12,Risk of Violence,7,Medium,2014-03-12,2015-11-09,2015-11-10,5,0,607,1,1 +383,david suarez,david,suarez,2013-02-04,Male,1992-02-06,24,Less than 25,Hispanic,0,8,0,0,0,-3,2013-02-01 09:51:10,2013-02-02 01:42:28,13002376MM10A,2013-02-01,,3,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-04,Risk of Violence,7,Medium,2013-02-04,2013-02-01,2013-02-02,0,0,1152,0,0 +384,calvin ellis,calvin,ellis,2014-04-01,Male,1987-01-22,29,25 - 45,African-American,0,3,0,0,1,-1,2014-03-31 02:14:12,2014-04-01 01:22:49,14005495MM10A,2014-03-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-04-01,Risk of Violence,3,Low,2014-04-01,2014-03-31,2014-04-01,1,0,731,0,0 +385,tyler tenney,tyler,tenney,2013-11-18,Male,1995-07-14,20,Less than 25,African-American,0,8,0,0,1,-1,2013-11-17 04:24:59,2013-11-18 07:25:07,13015983CF10A,2013-11-17,,1,F,Carrying Concealed Firearm,1,14002931CF10A,(F3),0,2014-03-02,Possession Of Methamphetamine,2014-03-02,2014-07-01,,1,14002931CF10A,(F3),2014-03-02,Felony Battery (Dom Strang),Risk of Recidivism,8,High,2013-11-18,Risk of Violence,7,Medium,2013-11-18,2014-03-02,2014-07-01,1,0,104,1,1 +386,roderick woods,roderick,woods,2013-02-14,Male,1985-11-27,30,25 - 45,African-American,0,6,0,0,2,-1,2013-02-13 11:48:59,2013-02-15 05:23:42,13002274CF10A,2013-02-13,,1,F,Carrying Concealed Firearm,1,13010855CF10A,(F2),135,2013-04-10,Poss Cocaine/Intent To Del/Sel,2013-08-23,2013-09-19,,0,,,,,Risk of Recidivism,6,Medium,2013-02-14,Risk of Violence,5,Medium,2013-02-14,2013-02-13,2013-02-15,2,1,55,1,1 +389,johnny toussaint,johnny,toussaint,2013-03-12,Male,1976-11-20,39,25 - 45,Other,0,1,0,0,0,-1,2013-03-11 10:17:29,2013-03-12 07:59:36,13003569CF10A,2013-03-11,,1,F,Throw In Occupied Dwell,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-10-02,2013-10-03,0,0,204,0,0 +390,antonio barnes,antonio,barnes,2013-08-07,Male,1988-06-03,27,25 - 45,African-American,0,4,0,0,4,-1,2013-08-06 09:00:30,2013-08-07 08:23:22,13010054CF10A,,2013-08-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-07,Risk of Violence,4,Low,2013-08-07,2015-07-08,2015-07-21,4,0,700,0,0 +392,gershon rapoport,gershon,rapoport,2013-07-16,Male,1984-09-15,31,25 - 45,Caucasian,0,4,0,0,2,812,2015-10-06 11:57:33,2015-10-17 07:38:17,08008163MM10A,,2010-10-04,1016,M,arrest case no charge,1,15012910CF10A,(F3),0,2015-10-06,Possession of Cocaine,2015-10-06,2015-10-17,,0,,,,,Risk of Recidivism,4,Low,2013-07-16,Risk of Violence,3,Low,2013-07-16,2015-10-06,2015-10-17,2,0,812,1,0 +393,ruth etienne,ruth,etienne,2013-12-03,Female,1978-08-23,37,25 - 45,African-American,0,1,0,0,2,0,2013-12-03 12:48:34,2013-12-04 07:43:54,13016786CF10A,,2013-12-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2014-09-23,2014-10-07,2,1,294,0,0 +396,dominick akinpello,dominick,akinpello,2014-02-19,Male,1995-04-20,20,Less than 25,African-American,0,8,0,0,0,-1,2014-02-18 09:37:20,2014-02-21 04:07:45,14002312CF10A,2014-02-18,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-19,Risk of Violence,6,Medium,2014-02-19,2014-02-18,2014-02-21,0,2,772,0,0 +398,sebastian claros,sebastian,claros,2013-04-20,Male,1994-04-16,22,Less than 25,Hispanic,0,7,0,1,0,0,2013-04-20 02:16:15,2013-04-22 03:48:37,13005681CF10A,2013-04-20,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2013-06-25,2013-07-02,0,2,66,0,0 +399,karen storey-broderick,karen,storey-broderick,2013-08-02,Female,1963-09-25,52,Greater than 45,African-American,0,1,0,0,0,-1,2013-08-01 10:03:28,2013-08-02 02:00:46,13010773CF10A,2013-08-01,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2013-08-01,2013-08-02,0,0,973,0,0 +400,daritte bonner,daritte,bonner,2014-08-02,Female,1993-01-24,23,Less than 25,African-American,0,4,0,0,0,-1,2014-08-01 09:19:33,2014-08-05 04:16:00,14010500CF10A,2014-08-01,,1,F,Carrying Concealed Firearm,1,15069017TC40A,(M2),,2015-11-13,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2014-08-02,Risk of Violence,4,Low,2014-08-02,2014-08-01,2014-08-05,0,3,468,1,1 +402,roselia scott,roselia,scott,2013-11-13,Female,1967-08-30,48,Greater than 45,African-American,0,2,0,0,0,-1,2013-11-12 10:24:10,2013-11-14 06:47:41,13015723CF10A,2013-11-12,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-13,Risk of Violence,3,Low,2013-11-13,2013-11-12,2013-11-14,0,1,870,0,0 +403,johnny franklin,johnny,franklin,2013-07-26,Male,1949-06-17,66,Greater than 45,African-American,0,6,0,0,8,,,,12000507CF10A,2012-01-11,,562,F,Deliver Cocaine,1,15013743TC40A,(M2),,2015-02-17,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-26,Risk of Violence,1,Low,2013-07-26,2001-07-10,2003-08-29,8,0,571,1,1 +404,daniel carvallo,daniel,carvallo,2013-04-20,Male,1990-07-20,25,25 - 45,Caucasian,0,5,0,0,0,0,2013-04-20 02:39:55,2013-04-20 07:15:12,13005683CF10A,2013-04-19,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2014-04-10,2014-04-15,0,0,355,0,0 +405,gary hrinda,gary,hrinda,2013-04-08,Male,1988-06-06,27,25 - 45,Caucasian,0,6,0,0,0,-1,2013-04-07 11:02:06,2013-04-09 04:14:39,13004978CF10A,2013-04-07,,1,F,Grand Theft in the 3rd Degree,1,13015848CF10A,(F3),0,2013-11-14,Aggravated Assault W/Dead Weap,2013-11-14,2014-07-14,,1,13015848CF10A,(F3),2013-11-14,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2013-04-08,Risk of Violence,7,Medium,2013-04-08,2013-11-14,2014-07-14,0,1,220,1,1 +406,horace orie,horace,orie,2014-10-02,Male,1986-04-17,30,25 - 45,African-American,0,7,0,0,11,0,2014-10-02 03:21:16,2014-10-03 03:32:38,14013295CF10A,2014-10-02,,0,F,Unauth Poss ID Card or DL,1,15004417MM10A,(M1),0,2015-04-17,Possess Drug Paraphernalia,2015-04-17,2015-04-18,,0,,,,,Risk of Recidivism,7,Medium,2014-10-02,Risk of Violence,6,Medium,2014-10-02,2015-04-17,2015-04-18,11,1,197,1,1 +407,markendy metayer,markendy,metayer,2013-01-11,Male,1993-12-31,22,Less than 25,African-American,0,10,1,1,3,-1,2013-01-10 03:17:29,2013-01-11 11:36:36,13000595MM10A,2013-01-10,,1,M,Battery,1,13001027MM10A,(M1),0,2013-01-15,Resist/Obstruct W/O Violence,2013-01-15,2013-01-17,,0,,,,,Risk of Recidivism,10,High,2013-01-11,Risk of Violence,7,Medium,2013-01-11,2013-01-15,2013-01-17,3,0,4,1,1 +408,genny robbins,genny,robbins,2013-12-31,Female,1993-05-16,22,Less than 25,Caucasian,0,3,0,0,1,-1,2013-12-30 10:48:07,2013-12-31 09:49:50,13017994CF10A,2013-12-30,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-31,Risk of Violence,4,Low,2013-12-31,2013-12-30,2013-12-31,1,0,822,0,0 +409,laroyce odom,laroyce,odom,2014-01-24,Male,1980-12-19,35,25 - 45,African-American,0,10,0,0,2,,,,14001155CF10A,,2014-01-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-24,Risk of Violence,8,High,2014-01-24,2004-06-16,2005-03-04,2,0,798,0,0 +410,john provenzano,john,provenzano,2013-09-06,Male,1984-04-04,32,25 - 45,Caucasian,0,4,0,0,2,-232,2013-01-17 09:43:27,2013-02-26 11:12:02,12017006CF10A,,2013-01-17,232,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-01-17,2013-02-26,2,0,938,0,0 +411,jarah king,jarah,king,2013-08-05,Female,1975-03-11,41,25 - 45,African-American,0,3,0,0,2,-1,2013-08-04 07:42:27,2013-08-05 06:31:46,13010816CF10A,2013-08-04,,1,M,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2013-08-04,2013-08-05,2,0,970,0,0 +414,sarah guerrier,sarah,guerrier,2014-01-29,Female,1990-09-14,25,25 - 45,Other,0,2,0,0,0,-1,2014-01-28 10:39:22,2014-01-29 08:33:42,14001235CF10A,2014-01-28,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-29,Risk of Violence,3,Low,2014-01-29,2014-01-28,2014-01-29,0,0,793,0,0 +415,james martin,james,martin,2013-04-11,Male,1971-10-07,44,25 - 45,African-American,0,7,0,0,24,53,2013-06-03 12:59:33,2013-09-29 05:18:00,13013026TC10A,2013-03-11,,31,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-11,Risk of Violence,3,Low,2013-04-11,2013-06-03,2013-09-29,24,0,53,0,0 +416,terry miller,terry,miller,2013-12-10,Male,1963-07-14,52,Greater than 45,African-American,0,6,0,0,3,0,2013-12-10 12:12:27,2014-01-04 10:22:47,13017014CF10A,2013-12-09,,1,F,Possession of Cocaine,1,14000935CF10A,(F3),0,2014-01-22,Possession of Cocaine,2014-01-22,2014-03-05,,0,,,,,Risk of Recidivism,6,Medium,2013-12-10,Risk of Violence,2,Low,2013-12-10,2014-01-22,2014-03-05,3,25,43,1,1 +417,alfranzwell myers,alfranzwell,myers,2013-04-05,Male,1972-05-07,43,25 - 45,African-American,0,1,0,0,0,-1,2013-04-04 07:55:57,2013-05-15 08:09:02,13004852CF10A,2013-04-04,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-04,2013-05-15,0,40,1092,0,0 +423,christopher wolter,christopher,wolter,2014-03-05,Male,1978-05-10,37,25 - 45,Caucasian,0,1,0,0,3,-4,2014-03-01 11:39:37,2014-03-04 09:02:34,13015173CF10A,,2014-03-01,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-05,Risk of Violence,1,Low,2014-03-05,2014-03-01,2014-03-04,3,0,758,0,0 +424,immanuel crafton,immanuel,crafton,2014-06-20,Male,1987-05-17,28,25 - 45,African-American,0,4,0,0,3,299,2015-04-15 09:07:50,2015-04-18 02:29:53,14001214MM40A,2014-03-12,,100,M,Possess Cannabis/20 Grams Or Less,1,15004954CF10A,(F2),0,2015-04-15,Aggravated Battery / Pregnant,2015-04-15,2015-04-18,,1,15004954CF10A,(F2),2015-04-15,Aggravated Battery / Pregnant,Risk of Recidivism,4,Low,2014-06-20,Risk of Violence,3,Low,2014-06-20,2015-04-15,2015-04-18,3,0,299,1,1 +425,karl weimar,karl,weimar,2013-04-18,Male,1946-03-20,70,Greater than 45,Caucasian,0,1,0,0,1,-13,2013-04-05 11:19:07,2013-04-18 10:45:47,13006582MM10A,2013-04-05,,13,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-04-05,2013-04-18,1,0,1079,0,0 +426,anthony santella,anthony,santella,2014-07-01,Male,1962-04-18,54,Greater than 45,Caucasian,0,2,0,0,6,-266,2013-10-08 03:55:57,2013-10-09 02:37:39,13011349CF10A,2013-08-13,,322,F,Possession of Cocaine,1,15010739CF10A,(F3),0,2015-08-19,Possession Of Alprazolam,2015-08-19,2015-08-21,,0,,,,,Risk of Recidivism,2,Low,2014-07-01,Risk of Violence,1,Low,2014-07-01,2015-08-19,2015-08-21,6,0,414,1,1 +428,john fox,john,fox,2013-05-01,Male,1970-02-13,46,Greater than 45,Caucasian,0,4,0,0,3,-1,2013-04-30 04:31:44,2013-05-14 09:41:21,06021703CF10A,,2013-04-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-04-30,2013-05-14,3,13,1066,0,0 +429,ahmaad hodges,ahmaad,hodges,2013-03-04,Male,1994-06-10,21,Less than 25,African-American,0,9,0,0,0,-1,2013-03-03 04:32:45,2013-03-04 07:27:23,13004316MM10A,2013-03-03,,1,M,Petit Theft,1,13022684MM10A,(M2),0,2013-12-07,Petit Theft,2013-12-07,2013-12-08,,0,,,,,Risk of Recidivism,9,High,2013-03-04,Risk of Violence,7,Medium,2013-03-04,2013-12-07,2013-12-08,0,0,278,1,1 +430,milot bastian,milot,bastian,2014-07-15,Male,1989-09-13,26,25 - 45,African-American,0,8,0,0,1,-1,2014-07-14 06:15:12,2014-07-16 02:43:22,14010769MM10A,2014-07-14,,1,M,Battery,1,15011432CF10A,(F3),0,2015-09-03,Tamper With Witness/Victim/CI,2015-09-03,2015-09-14,,1,15011432CF10A,(F3),2015-09-03,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2014-07-15,Risk of Violence,6,Medium,2014-07-15,2015-09-03,2015-09-14,1,1,415,1,1 +431,manuel luque,manuel,luque,2013-06-10,Male,1977-10-19,38,25 - 45,Hispanic,0,1,0,0,3,23,2013-07-03 03:38:42,2013-07-05 01:58:20,13004056CF10A,2013-03-20,,82,F,Crim Use of Personal ID Info,1,13009368CF10A,(F3),0,2013-07-03,Grand Theft in the 3rd Degree,2013-07-03,2013-07-05,,0,,,,,Risk of Recidivism,1,Low,2013-06-10,Risk of Violence,1,Low,2013-06-10,2013-07-03,2013-07-05,3,0,23,1,1 +432,dale quimby,dale,quimby,2014-01-20,Male,1982-01-10,34,25 - 45,Caucasian,0,4,0,0,5,-1,2014-01-19 03:20:12,2014-01-20 07:58:57,14000963MM10A,2014-01-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-20,Risk of Violence,4,Low,2014-01-20,2014-01-19,2014-01-20,5,0,802,0,0 +434,bernard young,bernard,young,2014-12-11,Male,1996-07-06,19,Less than 25,African-American,0,5,0,0,1,-48,2014-10-24 09:01:54,2014-12-11 10:38:56,14014333CF10A,2014-10-24,,48,F,Grand Theft in the 3rd Degree,1,16002972MM10A,(M1),0,2016-03-27,,2016-03-27,2016-04-06,,0,,,,,Risk of Recidivism,5,Medium,2014-12-11,Risk of Violence,7,Medium,2014-12-11,2016-03-27,2016-04-06,1,0,472,1,1 +435,vladimir ducard,vladimir,ducard,2013-12-04,Male,1981-12-15,34,25 - 45,African-American,0,4,0,0,5,-1,2013-12-03 09:45:00,2013-12-04 08:51:32,13022481MM10A,2013-12-03,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-04,Risk of Violence,4,Low,2013-12-04,2013-12-03,2013-12-04,5,0,849,0,0 +437,alex garay,alex,garay,2014-02-27,Male,1992-05-05,23,Less than 25,Caucasian,0,5,0,0,0,0,2014-02-27 12:30:23,2014-02-28 04:08:47,14002791CF10A,2014-02-26,,1,F,Aggravated Assault W/Dead Weap,1,15022297TC40A,(M2),,2015-03-07,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-27,Risk of Violence,5,Medium,2014-02-27,2014-02-27,2014-02-28,0,1,373,1,1 +438,johnny owens,johnny,owens,2013-01-31,Male,1981-06-29,34,25 - 45,African-American,0,4,0,0,5,-1,2013-01-30 11:54:49,2013-02-02 07:32:19,13001502CF10A,2013-01-30,,1,F,Possession of Oxycodone,1,13010275CF10A,(M1),1,2013-07-21,Possess Cannabis/20 Grams Or Less,2013-07-22,2013-09-20,,0,,,,,Risk of Recidivism,4,Low,2013-01-31,Risk of Violence,2,Low,2013-01-31,2013-01-30,2013-02-02,5,2,171,1,1 +439,widner francois,widner,francois,2013-10-25,Male,1985-11-11,30,25 - 45,African-American,0,1,0,0,2,-83,2013-08-03 02:56:01,2013-10-25 10:49:05,13004490CF10A,,2013-08-03,83,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-25,Risk of Violence,2,Low,2013-10-25,2013-08-03,2013-10-25,2,0,889,0,0 +440,trevin miller,trevin,miller,2013-11-05,Male,1976-09-22,39,25 - 45,African-American,0,3,0,0,6,-1,2013-11-04 06:35:23,2013-11-07 03:15:19,13015381CF10A,2013-11-04,,1,F,Aggravated Battery / Pregnant,1,14008136TC10A,(M2),,2013-12-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-05,Risk of Violence,1,Low,2013-11-05,2013-11-04,2013-11-07,6,2,48,1,1 +441,mohammed alshibi,mohammed,alshibi,2013-04-09,Male,1991-06-20,24,Less than 25,Other,0,3,0,0,0,-1,2013-04-08 08:55:48,2013-04-09 10:21:22,13005050CF10A,2013-04-08,,1,F,Failure To Return Hired Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-09,Risk of Violence,5,Medium,2013-04-09,2013-04-08,2013-04-09,0,0,1088,0,0 +442,frans barens,frans,barens,2014-06-30,Male,1982-05-23,33,25 - 45,Caucasian,0,3,0,0,1,-93,2014-03-29 07:09:12,2014-03-29 09:12:15,14012358MU10A,2014-03-29,,93,M,Driving Under The Influence,1,15010566CF10A,(F3),0,2015-08-16,Tamper With Witness/Victim/CI,2015-08-16,2015-08-17,,1,15010566CF10A,(F3),2015-08-16,Felony Battery (Dom Strang),Risk of Recidivism,3,Low,2014-06-30,Risk of Violence,2,Low,2014-06-30,2015-08-16,2015-08-17,1,0,412,1,1 +445,orlando gomez,orlando,gomez,2013-02-23,Male,1957-11-28,58,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-02-22 07:47:53,2013-02-24 02:27:52,13002760CF10A,2013-02-22,,1,F,Agg Fleeing/Eluding High Speed,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-24,2,1,1133,0,0 +446,mikerlie debe,mikerlie,debe,2013-01-01,Female,1994-10-09,21,Less than 25,African-American,0,6,0,0,0,0,2013-01-01 04:17:22,2013-01-02 01:14:43,13000062MM10A,2013-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-01,Risk of Violence,7,Medium,2013-01-01,2013-01-01,2013-01-02,0,1,1186,0,0 +450,ernest kinard,ernest,kinard,2013-08-09,Male,1994-08-06,21,Less than 25,African-American,0,5,0,0,1,-36,2013-07-04 07:01:53,2013-08-09 11:23:41,13009398CF10A,2013-07-04,,36,F,Attempted Robbery No Weapon,1,16003477CF10A,(F2),0,2016-03-21,,2016-03-21,2016-04-01,,0,,,,,Risk of Recidivism,5,Medium,2013-08-09,Risk of Violence,7,Medium,2013-08-09,2016-03-21,2016-04-01,1,0,955,1,0 +451,otis wimberly,otis,wimberly,2013-12-06,Male,1993-03-01,23,Less than 25,African-American,0,8,0,1,4,-11,2013-11-25 06:26:46,2013-12-06 10:30:18,13022144MM10A,2013-11-25,,11,M,Possess Cannabis/20 Grams Or Less,1,14012035MM10A,(M1),0,2014-08-09,Possess Cannabis/20 Grams Or Less,2014-08-09,2014-08-13,,0,,,,,Risk of Recidivism,8,High,2013-12-06,Risk of Violence,5,Medium,2013-12-06,2014-08-09,2014-08-13,4,0,246,1,1 +452,steven lux,steven,lux,2013-01-05,Male,1953-06-15,62,Greater than 45,Caucasian,0,1,0,0,0,0,2013-01-05 04:35:31,2013-01-07 03:18:03,13000208CF10A,2013-01-05,,0,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-05,Risk of Violence,1,Low,2013-01-05,2014-03-25,2014-03-26,0,2,444,0,0 +454,terrance mckinney,terrance,mckinney,2013-04-24,Male,1989-01-08,27,25 - 45,African-American,1,8,0,1,4,300,2014-02-18 06:54:26,2014-02-19 01:53:49,11011470MM10A,2011-05-18,,707,M,Possess Cannabis/20 Grams Or Less,1,14004524CF10A,(F3),0,2014-02-18,Grand Theft in the 3rd Degree,2014-02-18,2014-02-19,,0,,,,,Risk of Recidivism,8,High,2013-04-24,Risk of Violence,10,High,2013-04-24,2014-02-18,2014-02-19,4,0,300,1,1 +456,chandra hintz,chandra,hintz,2013-12-02,Male,1979-03-04,37,25 - 45,Caucasian,0,3,0,0,5,-1,2013-12-01 04:23:01,2013-12-12 03:25:01,13016617CF10A,2013-12-01,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-12,5,10,851,0,0 +457,ruel lindsay,ruel,lindsay,2013-08-16,Male,1972-05-14,43,25 - 45,Other,0,2,0,0,2,-1,2013-08-15 06:13:32,2013-08-23 03:50:34,13011490CF10A,2013-08-15,,1,F,Grand Theft in the 3rd Degree,1,15006595CF10A,(F3),,2015-04-22,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-16,Risk of Violence,1,Low,2013-08-16,2013-08-15,2013-08-23,2,7,614,1,1 +459,lunie mathurin,lunie,mathurin,2013-12-01,Female,1983-05-22,32,25 - 45,African-American,0,1,0,0,5,0,2013-12-01 12:02:58,2013-12-01 09:53:20,13016612CF10A,2013-11-29,,2,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,2013-12-01,2013-12-01,5,0,852,0,0 +461,juan reyes,juan,reyes,2013-12-31,Male,1992-09-30,23,Less than 25,Hispanic,0,3,0,0,0,-1,2013-12-30 11:58:41,2014-02-14 10:05:11,13017986CF10A,2013-12-30,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-31,Risk of Violence,5,Medium,2013-12-31,2015-04-08,2015-04-22,0,45,463,0,0 +462,keishon reeves,keishon,reeves,2013-04-08,Male,1988-06-05,27,25 - 45,African-American,0,1,0,0,0,0,2013-04-08 12:40:45,2013-04-09 07:53:30,13006656MM10A,2013-04-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-08,2013-04-09,0,1,1089,0,0 +463,jeffrey anderson,jeffrey,anderson,2014-01-02,Male,1971-08-12,44,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-01 04:24:33,2014-01-02 09:45:19,14000043MM10A,2014-01-01,,1,M,Battery,1,15009615CF10A,(F3),0,2015-07-26,Neglect Child / No Bodily Harm,2015-07-26,2015-07-27,,0,,,,,Risk of Recidivism,1,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2015-07-26,2015-07-27,0,0,570,1,1 +464,julissa hernandez,julissa,hernandez,2013-02-18,Male,1987-07-26,28,25 - 45,Caucasian,0,3,0,0,3,-1,2013-02-17 01:53:58,2013-02-18 01:13:47,13003414MM10A,2013-02-17,,1,M,Battery,1,14034507TC30A,(M2),,2014-04-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-18,Risk of Violence,3,Low,2013-02-18,2016-01-05,2016-01-05,3,0,412,1,1 +465,melissa davis,melissa,davis,2013-05-28,Female,1974-03-11,42,25 - 45,Caucasian,0,2,0,0,0,-3,2013-05-25 04:27:15,2013-05-26 07:10:19,13007473CF10A,2013-05-25,,3,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-07-24,2013-08-12,0,0,57,0,0 +467,franki vixama,franki,vixama,2013-03-16,Male,1991-07-21,24,Less than 25,Other,0,10,1,0,9,-1,2013-03-15 12:03:21,2013-03-20 02:58:22,13003838CF10A,2013-03-15,,1,F,Resist Officer w/Violence,1,13010824MM10A,(M1),1,2013-06-04,Resist/Obstruct W/O Violence,2013-06-05,2013-07-19,,1,13010824MM10A,(M2),2013-06-04,Assault,Risk of Recidivism,10,High,2013-03-16,Risk of Violence,10,High,2013-03-16,2013-03-15,2013-03-20,9,4,80,1,1 +468,seymour brown,seymour,brown,2014-01-14,Male,1988-04-23,27,25 - 45,African-American,0,2,0,0,0,0,2014-01-14 03:37:34,2014-01-31 09:03:48,14000626CF10A,2014-01-14,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-14,Risk of Violence,3,Low,2014-01-14,2014-01-14,2014-01-31,0,17,808,0,0 +469,wayne aristide,wayne,aristide,2014-08-19,Male,1995-05-16,20,Less than 25,African-American,0,10,0,0,0,-1,2014-08-18 05:35:24,2014-08-19 01:42:04,14011290CF10A,2014-08-18,,1,F,Grand Theft (Motor Vehicle),1,14033790TC10A,(M2),0,2014-09-18,Operating W/O Valid License,2014-09-18,2014-09-22,,0,,,,,Risk of Recidivism,10,High,2014-08-19,Risk of Violence,9,High,2014-08-19,2014-09-18,2014-09-22,0,0,30,1,1 +474,ann-marie cassagnol,ann-marie,cassagnol,2014-03-22,Female,1964-08-13,51,Greater than 45,Caucasian,0,1,0,0,0,0,2014-03-22 02:29:28,2014-03-23 09:07:31,14004060CF10A,2014-03-21,,1,M,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-22,2014-03-23,0,1,741,0,0 +475,stephen kushner,stephen,kushner,2013-12-11,Male,1959-11-10,56,Greater than 45,Caucasian,0,1,0,0,0,0,2013-12-11 03:02:20,2013-12-12 08:42:00,13017125CF10A,2013-12-10,,1,M,Battery On Parking Enfor Speci,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2013-12-11,2013-12-12,0,1,842,0,0 +478,patrick scott,patrick,scott,2013-04-25,Male,1986-09-04,29,25 - 45,African-American,0,9,0,0,7,-1,2013-04-24 05:02:29,2013-04-25 09:15:28,13001900CF10A,,2013-04-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-25,Risk of Violence,6,Medium,2013-04-25,2013-04-24,2013-04-25,7,0,1072,0,0 +480,iron holder,iron,holder,2014-01-11,Male,1995-10-27,20,Less than 25,African-American,0,9,0,0,0,-1,2014-01-10 07:41:14,2014-08-08 05:21:03,14000429CF10A,2014-01-10,,1,F,Grand Theft in the 3rd Degree,1,14014226MO10A,(MO3),0,2014-09-26,Enter City Park/ Prohibited Hrs,2014-09-26,2014-10-11,,0,,,,,Risk of Recidivism,9,High,2014-01-11,Risk of Violence,8,High,2014-01-11,2014-09-26,2014-10-11,0,209,258,1,1 +481,david daffron,david,daffron,2013-10-03,Male,1963-02-19,53,Greater than 45,Caucasian,0,1,0,0,6,-176,2013-04-10 03:34:51,2013-10-01 05:23:18,13005144CF10A,,2013-04-10,176,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-04-10,2013-10-01,6,0,911,0,0 +484,kristopher thibault,kristopher,thibault,2013-02-22,Male,1988-06-24,27,25 - 45,Caucasian,0,5,0,0,8,-1,2013-02-21 07:20:51,2013-04-30 10:43:29,13002078CF10A,,2013-02-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-22,Risk of Violence,3,Low,2013-02-22,2014-02-27,2014-10-24,8,67,370,0,0 +485,lamuel forbes,lamuel,forbes,2013-03-26,Male,1992-03-15,24,Less than 25,African-American,0,9,1,0,2,-1,2013-03-25 02:04:33,2013-04-13 05:00:10,13004300CF10A,2013-03-25,,1,F,Burglary Structure Unoccup,1,13007869CF10A,(M1),0,2013-06-03,Resist/Obstruct W/O Violence,2013-06-03,2013-07-26,,1,14009712CF10A,(F3),2014-07-15,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2013-03-26,Risk of Violence,9,High,2013-03-26,2013-06-03,2013-07-26,2,18,69,1,1 +487,timothy ryan,timothy,ryan,2014-12-11,Male,1963-04-02,53,Greater than 45,Caucasian,0,6,0,0,36,-7,2014-12-04 08:28:26,2015-01-06 08:20:11,14016166CF10A,2014-12-04,,7,F,Corrupt Public Servant,1,15001673MM20A,(M1),,2015-06-25,Trespass Other Struct/Conve,,,,0,,,,,Risk of Recidivism,6,Medium,2014-12-11,Risk of Violence,9,High,2014-12-11,2015-05-08,2015-05-09,36,26,148,0,1 +489,michael rosa,michael,rosa,2013-10-04,Male,1988-04-15,28,25 - 45,Caucasian,0,3,0,0,2,0,2013-10-04 01:55:36,2013-10-05 07:07:26,13018910MM10A,2013-10-03,,1,M,Battery,1,14009686TC30A,(M2),,2014-01-19,Driving License Suspended,,,,1,14017790MM10A,(M1),2014-11-27,Battery,Risk of Recidivism,3,Low,2013-10-04,Risk of Violence,4,Low,2013-10-04,2013-10-04,2013-10-05,2,1,107,1,1 +493,michael peter,michael,peter,2013-03-13,Male,1971-01-06,45,Greater than 45,African-American,0,1,0,0,1,,,,13003680CF10A,2013-03-12,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,,,1,0,1115,0,0 +494,carlos vasquez,carlos,vasquez,2013-08-02,Male,1995-01-17,21,Less than 25,Hispanic,0,5,1,0,3,-22,2013-07-11 04:30:33,2013-08-02 06:07:24,13009721CF10A,2013-07-11,,22,F,Grand Theft in the 3rd Degree,1,15011166MM10A,(M1),,2015-10-24,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-02,Risk of Violence,6,Medium,2013-08-02,2014-12-16,2015-01-09,3,0,501,0,0 +495,kia rodriquez,kia,rodriquez,2013-05-06,Female,1979-07-02,36,25 - 45,African-American,0,7,0,0,0,-1,2013-05-05 08:31:15,2013-05-17 08:35:57,13006433CF10A,2013-05-05,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-06,Risk of Violence,5,Medium,2013-05-06,2013-05-05,2013-05-17,0,11,1061,0,0 +496,jodie sena,jodie,sena,2013-01-11,Female,1991-01-26,25,25 - 45,Caucasian,0,4,0,0,2,-2,2013-01-09 08:33:15,2013-01-10 09:40:18,13000518MM10A,2013-01-09,,2,M,Petit Theft,1,13007257CF10A,(F3),0,2013-05-21,Possession of Cocaine,2013-05-21,2013-07-13,,0,,,,,Risk of Recidivism,4,Low,2013-01-11,Risk of Violence,4,Low,2013-01-11,2013-03-06,2013-03-15,2,0,54,0,1 +497,helen carrillo,helen,carrillo,2013-04-04,Female,1992-06-09,23,Less than 25,Hispanic,0,3,0,0,1,0,2013-04-04 01:13:56,2013-04-04 11:28:44,13006418MM10A,2013-04-03,,1,M,Operating W/O Valid License,1,15022411TC10A,(M2),0,2015-07-07,Operating W/O Valid License,2015-07-07,2015-07-17,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,4,Low,2013-04-04,2015-07-07,2015-07-17,1,0,824,1,0 +499,justin knoll,justin,knoll,2014-03-03,Male,1988-02-24,28,25 - 45,Caucasian,0,5,0,0,1,-4,2014-02-27 04:28:02,2014-02-28 08:49:55,14002778CF10A,2014-02-27,,4,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-03,Risk of Violence,3,Low,2014-03-03,2014-07-16,2014-07-17,1,0,135,0,0 +500,calvin rogers,calvin,rogers,2013-04-25,Female,1995-02-11,21,Less than 25,African-American,0,8,0,0,0,-1,2013-04-24 04:54:25,2013-04-25 09:10:00,13005881CF10A,2013-04-24,,1,F,Robbery Sudd Snatch No Weapon,1,14001002MM10A,(M2),0,2014-01-21,Mandatory Susp Possess Alcohol,2014-01-21,2014-01-21,,0,,,,,Risk of Recidivism,8,High,2013-04-25,Risk of Violence,7,Medium,2013-04-25,2014-01-21,2014-01-21,0,0,271,0,1 +501,derek huffman,derek,huffman,2013-12-23,Male,1979-05-31,36,25 - 45,Caucasian,0,3,0,0,0,-1,2013-12-22 08:25:20,2013-12-23 01:09:26,13023661MM10A,2013-12-22,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-23,Risk of Violence,3,Low,2013-12-23,2013-12-22,2013-12-23,0,0,830,0,0 +502,theronardo williams,theronardo,williams,2014-03-13,Male,1992-04-02,24,Less than 25,African-American,0,3,0,0,0,-1,2014-03-12 07:36:15,2014-03-13 01:26:58,14003529CF10A,2014-03-12,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,4,Low,2014-03-13,2014-03-12,2014-03-13,0,0,750,0,0 +503,elliott little,elliott,little,2013-09-06,Male,1988-02-26,28,25 - 45,African-American,0,6,0,0,3,206,2014-03-31 09:18:42,2014-05-02 09:40:25,10005511CF10A,,2011-04-28,862,F,arrest case no charge,1,14012559TC10A,(M2),0,2014-03-31,Operating W/O Valid License,2014-03-31,2014-05-02,,0,,,,,Risk of Recidivism,6,Medium,2013-09-06,Risk of Violence,4,Low,2013-09-06,2014-03-31,2014-05-02,3,0,206,1,1 +504,christian atkinson,christian,atkinson,2014-01-24,Male,1986-02-25,30,25 - 45,Other,0,2,0,0,1,-1,2014-01-23 10:49:49,2014-01-24 01:36:58,11020261CF10A,,2014-01-23,1,F,arrest case no charge,1,14052588TC30A,(M2),,2014-06-11,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-24,Risk of Violence,2,Low,2014-01-24,2014-01-23,2014-01-24,1,0,138,1,1 +505,tracee chang-scott,tracee,chang-scott,2014-03-02,Male,1986-05-02,29,25 - 45,African-American,0,1,0,0,0,-1,2014-03-01 02:42:35,2014-03-02 08:38:51,14002914CF10A,2014-03-01,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-02,Risk of Violence,2,Low,2014-03-02,2014-03-01,2014-03-02,0,0,761,0,0 +509,marilyn cuello,marilyn,cuello,2013-03-22,Female,1986-04-16,30,25 - 45,Caucasian,0,6,0,0,0,0,2013-03-22 12:02:23,2013-03-26 09:46:14,13005576MM10A,2013-03-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-22,Risk of Violence,2,Low,2013-03-22,2013-03-22,2013-03-26,0,4,1106,0,0 +510,rafael magana,rafael,magana,2013-12-27,Male,1964-05-15,51,Greater than 45,Hispanic,0,1,0,0,1,-1,2013-12-26 04:15:54,2013-12-27 07:50:46,13023827MM10A,2013-12-25,,2,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,1,Low,2013-12-27,2013-12-26,2013-12-27,1,0,826,0,0 +511,hudson silva,hudson,silva,2013-12-05,Male,1983-03-08,33,25 - 45,Other,0,1,0,0,3,-94,2013-09-02 03:40:45,2013-09-05 04:28:45,13012376CF10A,2013-09-02,,94,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2013-09-02,2013-09-05,3,0,848,0,0 +512,samantha brown,samantha,brown,2013-12-18,Female,1990-08-10,25,25 - 45,African-American,0,6,0,0,2,-86,2013-09-23 08:31:28,2013-09-25 07:03:03,13013459CF10A,,2013-09-23,86,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-18,Risk of Violence,5,Medium,2013-12-18,2015-06-09,2015-07-06,2,0,538,0,0 +516,frederick pinkney,frederick,pinkney,2013-02-16,Male,1983-09-14,32,25 - 45,African-American,0,9,1,0,12,-1,2013-02-15 12:13:14,2013-02-17 01:27:01,13002355CF10A,,2013-02-15,1,F,arrest case no charge,1,14007605TC10A,(M2),,2014-02-12,Driving License Suspended,,,,1,15000254CF10A,(F2),2015-01-06,Robbery / No Weapon,Risk of Recidivism,9,High,2013-02-16,Risk of Violence,7,Medium,2013-02-16,2013-02-15,2013-02-17,12,1,361,1,1 +517,quon gwynn,quon,gwynn,2014-01-31,Male,1992-06-15,23,Less than 25,African-American,0,6,0,1,1,0,2014-01-31 01:04:24,2014-02-01 03:16:14,14001353CF10A,2014-01-30,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-31,Risk of Violence,5,Medium,2014-01-31,2014-01-31,2014-02-01,1,1,791,0,0 +518,lee humphrey,lee,humphrey,2013-03-25,Male,1968-08-31,47,Greater than 45,African-American,0,3,0,0,3,0,2013-03-25 03:26:29,2013-03-25 07:55:24,13004314CF10A,2013-03-25,,0,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,2,Low,2013-03-25,2013-06-29,2013-06-30,3,0,96,0,0 +521,angela fuller,angela,fuller,2013-09-26,Female,1983-12-07,32,25 - 45,Hispanic,0,3,0,0,1,-80,2013-07-08 09:28:30,2013-07-10 10:28:19,13009535CF10A,2013-07-08,,80,F,Possession of Cocaine,1,14052956TC40A,(M2),,2014-07-25,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-26,Risk of Violence,3,Low,2013-09-26,2013-07-08,2013-07-10,1,0,302,1,1 +522,stephen harmon,stephen,harmon,2014-02-25,Male,1978-07-11,37,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-24 05:11:22,2014-03-15 05:53:52,14002620CF10A,2014-02-25,,0,F,Forging Bank Bills/Promis Note,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2015-04-13,2015-04-15,0,18,412,0,0 +523,jeremy gassett,jeremy,gassett,2014-09-13,Male,1996-08-23,19,Less than 25,African-American,0,10,2,0,2,-1,2014-09-12 06:18:51,2014-09-13 10:54:20,14012419CF10A,2014-09-12,,1,F,Poss Pyrrolidinovalerophenone,1,15012033MM10A,(M1),,2015-11-18,Unlaw Use False Name/Identity,,,,0,,,,,Risk of Recidivism,10,High,2014-09-13,Risk of Violence,9,High,2014-09-13,2014-12-05,2014-12-06,2,0,83,0,1 +524,angel bravo,angel,bravo,2014-02-01,Male,1988-06-11,27,25 - 45,Hispanic,0,8,0,0,0,-1,2014-01-31 02:14:52,2014-02-02 04:25:26,14001734MM10A,2014-01-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-01,Risk of Violence,6,Medium,2014-02-01,2014-01-31,2014-02-02,0,1,790,0,0 +525,sarada mittapalli,sarada,mittapalli,2013-11-27,Male,1976-07-29,39,25 - 45,Other,0,1,0,0,0,-1,2013-11-26 06:08:42,2013-11-27 02:09:15,13022234MM10A,2013-11-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-27,Risk of Violence,1,Low,2013-11-27,2013-11-26,2013-11-27,0,0,856,0,0 +526,kayli wagner,kayli,wagner,2013-02-21,Female,1994-10-07,21,Less than 25,Caucasian,0,6,0,2,0,0,2013-02-21 05:16:18,2013-02-21 09:22:51,13002684CF10A,2013-02-21,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-21,Risk of Violence,8,High,2013-02-21,2013-02-21,2013-02-21,0,0,1135,0,0 +527,barry rabinowitz,barry,rabinowitz,2013-01-31,Male,1946-11-16,69,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-30 08:36:13,2013-01-31 07:20:04,13001514CF10A,2013-01-30,,1,M,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-31,Risk of Violence,1,Low,2013-01-31,2013-01-30,2013-01-31,0,0,1156,0,0 +530,robert yamin,robert,yamin,2013-11-07,Male,1994-06-29,21,Less than 25,Caucasian,0,6,0,0,2,-1,2013-11-06 07:01:58,2013-11-08 09:11:46,13015487CF10A,,2013-11-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-07,Risk of Violence,6,Medium,2013-11-07,2015-06-07,2015-06-10,2,1,577,0,0 +531,dijohn frazier,dijohn,frazier,2013-10-07,Male,1990-02-05,26,25 - 45,African-American,0,10,0,1,6,0,2013-10-07 12:35:37,2013-10-11 06:19:26,13019083MM10A,2013-10-07,,0,M,Battery,1,14008009MM10A,(M1),0,2014-05-16,Viol Pretrial Release Dom Viol,2014-05-16,2014-05-18,,0,,,,,Risk of Recidivism,10,High,2013-10-07,Risk of Violence,10,High,2013-10-07,2014-05-16,2014-05-18,6,4,221,1,1 +532,ryan carr,ryan,carr,2013-12-09,Male,1994-01-24,22,Less than 25,Caucasian,0,4,0,0,0,-2,2013-12-07 01:04:19,2013-12-07 02:19:36,13016886CF10A,2013-12-06,,3,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-09,Risk of Violence,5,Medium,2013-12-09,2013-12-07,2013-12-07,0,0,844,0,0 +533,aajah herrington,aajah,herrington,2013-04-24,Female,1992-06-02,23,Less than 25,African-American,0,5,0,0,0,-1,2013-04-23 09:37:13,2013-04-24 01:57:01,13005832CF10A,2013-04-23,,1,F,Driving While License Revoked,1,14007863MM10A,(M1),0,2014-05-13,Extradition/Defendants,2014-05-13,2014-06-05,,0,,,,,Risk of Recidivism,5,Medium,2013-04-24,Risk of Violence,5,Medium,2013-04-24,2014-05-13,2014-06-05,0,0,384,1,1 +537,mitchell miller,mitchell,miller,2013-10-15,Male,1966-08-19,49,Greater than 45,African-American,0,5,0,0,3,0,2013-10-15 12:10:18,2013-10-19 05:47:48,13014372CF10A,2013-10-14,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-15,Risk of Violence,4,Low,2013-10-15,2015-09-04,2015-09-09,3,4,689,0,0 +538,andrew flowers,andrew,flowers,2013-01-30,Male,1986-10-24,29,25 - 45,African-American,0,4,0,1,2,-1,2013-01-29 11:52:49,2013-03-21 07:00:48,13002104MM10A,2013-01-29,,1,M,Battery,1,15004089CF10A,(F3),0,2015-03-27,Possession of Cannabis,2015-03-27,2015-03-28,,0,,,,,Risk of Recidivism,4,Low,2013-01-30,Risk of Violence,3,Low,2013-01-30,2015-03-27,2015-03-28,2,50,786,1,0 +540,john cooper,john,cooper,2013-10-14,Female,1955-09-14,60,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-13 05:34:29,2013-10-14 02:36:01,13019421MM10A,2013-10-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,2013-10-13,2013-10-14,0,0,900,0,0 +541,peticia curtis,peticia,curtis,2013-02-05,Female,1989-10-15,26,25 - 45,African-American,0,10,0,0,0,,,,,,,,M,,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-05,Risk of Violence,10,High,2013-02-05,2013-03-30,2013-09-07,0,0,53,0,0 +542,bernard augusme,bernard,augusme,2013-05-06,Male,1993-03-26,23,Less than 25,African-American,2,10,0,0,3,0,2013-05-06 02:04:06,2013-05-06 08:01:08,13006471CF10A,2013-05-05,,1,F,"Poss3,4 Methylenedioxymethcath",1,14004691TC10A,(M2),,2013-12-27,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,10,High,2013-05-06,Risk of Violence,10,High,2013-05-06,2014-06-21,2015-05-08,3,0,235,1,1 +543,rudolfo francisco,rudolfo,francisco,2014-04-05,Male,1981-07-06,34,25 - 45,Hispanic,0,5,0,0,2,47,2014-05-22 09:37:00,2014-12-16 06:22:02,12020160MM10A,,2013-07-08,271,M,arrest case no charge,1,14007140CF10A,(F3),0,2014-05-22,Stalking (Aggravated),2014-05-22,2014-12-16,,1,14007140CF10A,(F3),2014-05-22,Stalking (Aggravated),Risk of Recidivism,5,Medium,2014-04-05,Risk of Violence,2,Low,2014-04-05,2014-05-22,2014-12-16,2,0,47,1,1 +545,jamelia hutchinson,jamelia,hutchinson,2013-03-12,Female,1995-12-06,20,Less than 25,Other,1,4,0,0,1,-21,2013-02-19 08:48:32,2013-02-22 07:41:48,13002495CF10A,,2013-02-19,21,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-12,Risk of Violence,7,Medium,2013-03-12,2014-10-29,2015-01-26,1,0,596,0,0 +546,jose escobar,jose,escobar,2013-04-22,Male,1980-03-17,36,25 - 45,Hispanic,0,3,0,0,1,0,2013-04-22 02:33:46,2013-07-26 05:05:36,13005775CF10A,2013-04-21,,1,F,Felony/Driving Under Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-22,Risk of Violence,2,Low,2013-04-22,2013-09-29,2013-09-29,1,95,160,0,0 +547,christopher loosier,christopher,loosier,2013-05-04,Male,1985-07-07,30,25 - 45,Caucasian,0,4,0,0,0,0,2013-05-04 12:45:31,2013-05-06 08:53:01,13006396CF10A,2013-05-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-04,Risk of Violence,3,Low,2013-05-04,2013-05-04,2013-05-06,0,2,1063,0,0 +548,newton smith,newton,smith,2013-06-17,Male,1995-01-28,21,Less than 25,African-American,0,3,1,0,1,-1,2013-06-16 12:36:42,2013-06-16 07:01:42,13008471CF10A,2013-06-15,,2,F,Grand Theft in the 3rd Degree,1,16003711TC20A,(M2),,2016-01-20,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-17,Risk of Violence,6,Medium,2013-06-17,2013-06-16,2013-06-16,1,0,947,1,0 +552,dylan bishop,dylan,bishop,2013-09-09,Male,1994-02-20,22,Less than 25,Caucasian,0,6,0,0,2,-1,2013-09-08 11:40:53,2013-09-09 07:52:09,13012691CF10A,2013-09-08,,1,M,Possess Cannabis/20 Grams Or Less,1,14020723TC10A,(M2),0,2014-06-04,Susp Drivers Lic 1st Offense,2014-06-04,2014-06-11,,0,,,,,Risk of Recidivism,6,Medium,2013-09-09,Risk of Violence,5,Medium,2013-09-09,2014-02-14,2014-02-16,2,0,158,0,1 +553,edward gelsey,edward,gelsey,2013-05-08,Male,1959-01-31,57,Greater than 45,African-American,0,8,0,0,18,,,,08000963CF10A,,2008-04-30,1834,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-08,Risk of Violence,7,Medium,2013-05-08,2002-08-20,2003-11-16,18,0,1059,0,0 +557,tarell rolle,tarell,rolle,2013-10-22,Male,1995-04-12,21,Less than 25,African-American,0,9,0,0,4,-1,2013-10-21 06:36:46,2014-05-29 04:43:53,13013587CF10A,,2013-10-22,0,F,arrest case no charge,1,14009986CF10A,(M2),1,2014-07-22,Prowling/Loitering,2014-07-23,2015-12-04,,0,,,,,Risk of Recidivism,9,High,2013-10-22,Risk of Violence,6,Medium,2013-10-22,2013-10-21,2014-05-29,4,219,273,1,1 +558,usbel ferdinand,usbel,ferdinand,2014-10-09,Male,1994-09-05,21,Less than 25,African-American,0,5,0,0,0,-1,2014-10-08 05:30:17,2014-10-20 09:06:11,14013589CF10A,2014-10-08,,1,F,Burglary Structure Unoccup,1,16001506CF10A,(F3),,2016-01-14,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,5,Medium,2014-10-09,Risk of Violence,6,Medium,2014-10-09,2015-02-05,2015-02-27,0,11,119,0,1 +561,jacob maynard,jacob,maynard,2014-02-04,Male,1982-01-17,34,25 - 45,Caucasian,0,1,0,0,1,0,2014-02-04 03:26:12,2014-02-04 08:29:18,14001956MM10A,2014-02-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-04,2014-02-04,1,0,787,0,0 +563,sandra codorniu,sandra,codorniu,2014-04-08,Female,1965-10-03,50,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-04-07 11:40:45,2014-04-08 09:22:26,14005916MM10A,2014-04-07,,1,M,Battery,1,14010211MM10A,(M1),0,2014-07-02,Viol Injunct Domestic Violence,2014-07-02,2014-07-22,,0,,,,,Risk of Recidivism,1,Low,2014-04-08,Risk of Violence,1,Low,2014-04-08,2014-07-02,2014-07-22,1,0,85,1,1 +565,kenneth ray,kenneth,ray,2014-03-30,Male,1975-12-06,40,25 - 45,Caucasian,0,7,0,0,0,-1,2014-03-29 01:49:01,2014-04-06 08:39:14,14004424CF10A,,2014-03-29,1,F,arrest case no charge,1,14007240MM10A,(M1),417,2014-05-01,Resist/Obstruct W/O Violence,2015-06-22,2015-07-26,,0,,,,,Risk of Recidivism,7,Medium,2014-03-30,Risk of Violence,9,High,2014-03-30,2014-03-29,2014-04-06,0,7,32,1,1 +566,nicholas neloms,nicholas,neloms,2014-02-25,Male,1990-10-14,25,25 - 45,African-American,0,8,0,0,7,-1,2014-02-24 04:26:33,2014-07-01 09:26:10,14002596CF10A,2014-02-24,,1,F,Tamper With Witness/Victim/CI,1,14003067MM20A,(M1),,2014-10-22,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2014-02-25,Risk of Violence,7,Medium,2014-02-25,2014-02-24,2014-07-01,7,126,239,1,1 +567,daria demarinis,daria,demarinis,2013-12-22,Female,1962-11-08,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-21 05:26:48,2013-12-22 01:41:48,13023548MM10A,2013-12-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-21,2013-12-22,1,0,831,0,0 +569,stephanie williams,stephanie,williams,2013-12-14,Female,1991-10-11,24,Less than 25,African-American,0,4,0,0,0,-1,2013-12-13 03:13:07,2013-12-14 07:19:53,13017250CF10A,2013-12-13,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-14,Risk of Violence,4,Low,2013-12-14,2013-12-13,2013-12-14,0,0,839,0,0 +572,frantz pointdujour,frantz,pointdujour,2013-06-12,Male,1974-01-10,42,25 - 45,African-American,0,1,0,0,1,-12,2013-05-31 04:44:14,2013-06-04 10:17:31,13007775CF10A,,2013-05-30,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-12,Risk of Violence,1,Low,2013-06-12,2013-05-31,2013-06-04,1,0,1024,0,0 +573,andre small,andre,small,2013-04-03,Male,1987-10-01,28,25 - 45,African-American,0,3,0,0,1,-1,2013-04-02 12:18:46,2013-04-04 07:54:22,13006354MM10A,2013-04-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-03,Risk of Violence,3,Low,2013-04-03,2013-04-02,2013-04-04,1,1,1094,0,0 +574,brad dolph,brad,dolph,2014-02-28,Male,1992-03-13,24,Less than 25,Caucasian,0,4,0,0,1,-36,2014-01-23 01:33:51,2014-02-28 11:14:41,14001265MM10A,2014-01-22,,37,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-28,Risk of Violence,4,Low,2014-02-28,2014-01-23,2014-02-28,1,0,763,0,0 +576,jarvis chatman,jarvis,chatman,2013-04-23,Male,1989-07-10,26,25 - 45,African-American,1,8,1,0,6,-1,2013-04-22 07:13:19,2013-04-23 07:33:30,13005774CF10A,2013-04-22,,1,F,Robbery / No Weapon,1,13069699TC20A,(M2),445,2013-11-11,Driving License Suspended,2015-01-30,2015-03-02,,0,,,,,Risk of Recidivism,8,High,2013-04-23,Risk of Violence,3,Low,2013-04-23,2015-09-22,2015-09-23,6,0,202,1,1 +579,damien waller,damien,waller,2013-02-05,Male,1994-02-10,22,Less than 25,African-American,0,9,0,0,4,-1,2013-02-04 02:09:53,2013-10-22 06:51:11,13001727CF10A,2013-02-04,,1,F,Grand Theft in the 3rd Degree,1,15000864CF10A,(F3),0,2015-01-20,Robbery Sudd Snatch No Weapon,2015-01-20,2015-08-06,,1,15000864CF10A,(F3),2015-01-20,Robbery Sudd Snatch No Weapon,Risk of Recidivism,9,High,2013-02-05,Risk of Violence,9,High,2013-02-05,2015-01-20,2015-08-06,4,574,714,1,1 +580,tyler gay,tyler,gay,2013-08-12,Male,1994-08-04,21,Less than 25,Caucasian,0,7,0,0,3,-8,2013-08-04 03:23:17,2013-08-10 01:02:53,13010743MM10A,,2013-08-04,8,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-12,Risk of Violence,8,High,2013-08-12,2013-08-04,2013-08-10,3,0,963,0,0 +581,douglas golding,douglas,golding,2013-03-17,Male,1978-05-02,37,25 - 45,African-American,0,9,0,0,23,-1,2013-03-16 06:38:51,2013-04-02 12:59:57,13003852CF10A,2013-03-16,,1,F,Battery on Law Enforc Officer,1,13006847MM10A,(M2),0,2013-04-09,Tresspass Struct/Conveyance,2013-04-09,2013-06-18,,0,,,,,Risk of Recidivism,9,High,2013-03-17,Risk of Violence,4,Low,2013-03-17,2013-04-09,2013-06-18,23,16,23,1,1 +584,devaughn bryan,devaughn,bryan,2013-05-16,Male,1980-04-29,35,25 - 45,African-American,0,5,0,0,2,-1,2013-05-15 04:19:38,2013-05-20 09:26:57,13006929CF10A,2013-05-15,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-16,Risk of Violence,5,Medium,2013-05-16,2013-05-15,2013-05-20,2,4,1051,0,0 +586,marvin butler,marvin,butler,2013-08-07,Male,1962-12-30,53,Greater than 45,African-American,0,1,0,0,2,-1,2013-08-06 07:34:06,2013-08-07 01:05:18,13011035CF10A,2013-08-06,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,2013-08-06,2013-08-07,2,0,968,0,0 +587,roger browne,roger,browne,2014-02-11,Male,1955-10-17,60,Greater than 45,African-American,0,1,0,0,1,,,,07006838CF10A,,2010-11-16,1183,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-11,Risk of Violence,1,Low,2014-02-11,2010-06-22,2010-11-22,1,0,780,0,0 +588,justin nowell,justin,nowell,2013-08-16,Male,1987-02-28,29,25 - 45,African-American,0,4,0,0,7,-1,2013-08-15 04:47:18,2013-08-16 10:21:01,13011483CF10A,2013-08-15,,1,F,Possession of Cocaine,1,16000435MM20A,(M1),,2016-01-28,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-16,Risk of Violence,3,Low,2013-08-16,2015-09-28,2015-10-02,7,0,773,0,0 +590,andrew calderaro,andrew,calderaro,2013-02-09,Male,1967-10-07,48,Greater than 45,Caucasian,1,8,0,0,23,-1,2013-02-08 07:54:34,2014-02-04 06:26:47,13002009CF10A,2013-02-08,,1,F,Felony Petit Theft,1,14017095CF10A,(F3),,2014-12-28,Felony Petit Theft,,,,1,14017095CF10A,(M1),2014-12-28,Battery,Risk of Recidivism,8,High,2013-02-09,Risk of Violence,5,Medium,2013-02-09,2014-02-04,2014-11-11,23,640,687,1,1 +594,evelyn rivera,evelyn,rivera,2013-03-25,Female,1964-04-17,52,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-25 04:21:35,2013-03-25 08:42:53,13005850MM10A,2013-03-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-25,2013-03-25,0,0,1103,0,0 +597,ronald deliard,ronald,deliard,2013-04-16,Male,1988-10-10,27,25 - 45,African-American,0,8,0,0,12,-1,2013-04-15 05:42:56,2013-05-17 04:23:57,13005396CF10A,2013-04-15,,1,F,Driving While License Revoked,1,14005031MM10A,(M1),0,2014-03-23,Resist/Obstruct W/O Violence,2014-03-23,2014-05-08,,0,,,,,Risk of Recidivism,8,High,2013-04-16,Risk of Violence,5,Medium,2013-04-16,2014-03-23,2014-05-08,12,31,341,1,1 +598,willie wilson,willie,wilson,2013-02-13,Male,1987-09-14,28,25 - 45,African-American,0,9,0,0,5,0,2013-02-13 02:14:41,2013-04-05 08:12:59,12002931CF10A,,2013-02-13,0,F,arrest case no charge,1,15026130TC10A,(M2),0,2015-09-22,Operating W/O Valid License,2015-09-22,2015-10-07,,0,,,,,Risk of Recidivism,9,High,2013-02-13,Risk of Violence,6,Medium,2013-02-13,2015-09-22,2015-10-07,5,51,951,1,0 +599,daniel campos,daniel,campos,2013-12-22,Male,1982-07-02,33,25 - 45,Caucasian,0,3,0,0,3,0,2013-12-22 01:14:52,2013-12-22 07:48:32,13023564MM10A,2013-12-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-22,2013-12-22,3,0,831,0,0 +600,jessica soto,jessica,soto,2013-04-05,Female,1988-03-02,28,25 - 45,Hispanic,0,2,0,0,0,-1,2013-04-04 03:19:29,2013-04-06 12:28:11,13004844CF10A,,2013-04-04,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-05,Risk of Violence,2,Low,2013-04-05,2013-04-04,2013-04-06,0,1,1092,0,0 +601,joel valli,joel,valli,2014-05-08,Male,1969-03-25,47,Greater than 45,Caucasian,0,10,0,0,5,-312,2013-06-30 08:26:21,2014-04-17 10:54:00,13009201CF10A,2013-06-30,,312,F,Possession of Cocaine,1,15014318CF10A,(F3),185,2015-05-06,False Verif Ownership Pawn Shp,2015-11-07,2015-11-11,,0,,,,,Risk of Recidivism,10,High,2014-05-08,Risk of Violence,6,Medium,2014-05-08,2015-11-07,2015-11-11,5,0,363,1,1 +602,maurice knight,maurice,knight,2013-02-01,Male,1979-05-06,36,25 - 45,African-American,0,7,0,0,14,-1,2013-01-31 10:14:56,2013-02-01 08:48:31,13001573CF10A,2013-01-31,,1,F,Throw Deadly Missile Into Veh,1,13002602CF10A,(M1),0,2013-02-20,Possess Cannabis/20 Grams Or Less,2013-02-20,2013-02-21,,0,,,,,Risk of Recidivism,7,Medium,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-02-20,2013-02-21,14,0,19,1,1 +603,christopher larmond,christopher,larmond,2013-04-05,Male,1987-04-09,29,25 - 45,African-American,1,5,0,0,2,-1,2013-04-04 11:24:09,2013-04-06 08:01:53,13004855CF10A,2013-04-04,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-05,Risk of Violence,5,Medium,2013-04-05,2013-04-04,2013-04-06,2,1,1092,0,0 +604,devaughn brown,devaughn,brown,2013-01-01,Male,1993-07-25,22,Less than 25,African-American,0,9,0,1,0,0,2013-01-01 01:31:55,2013-01-22 09:01:52,13000048MM10A,2013-01-01,,0,M,Unlaw Use False Name/Identity,1,15000148MM10A,(M2),0,2015-01-04,Petit Theft,2015-01-04,2015-01-08,,0,,,,,Risk of Recidivism,9,High,2013-01-01,Risk of Violence,7,Medium,2013-01-01,2013-12-30,2014-01-10,0,21,363,0,1 +605,gueslly deravine,gueslly,deravine,2013-03-27,Male,1989-11-30,26,25 - 45,African-American,0,7,0,2,6,-34,2013-02-21 01:31:52,2013-02-21 07:44:48,13002675CF10A,2013-02-20,,35,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-27,Risk of Violence,7,Medium,2013-03-27,2013-12-24,2014-02-10,6,0,272,0,0 +608,christopher tokarz,christopher,tokarz,2013-03-27,Male,1990-05-31,25,25 - 45,Caucasian,0,2,0,0,0,0,2013-03-27 02:09:08,2013-03-27 06:55:04,13004427CF10A,2013-03-26,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-03-27,2013-03-27,0,0,1101,0,0 +609,richard kelly,richard,kelly,2013-10-08,Male,1947-10-19,68,Greater than 45,Caucasian,0,1,0,0,2,-150,2013-05-11 07:27:55,2013-05-12 02:24:08,13006761CF10A,2013-05-11,,150,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-08,Risk of Violence,1,Low,2013-10-08,2013-05-11,2013-05-12,2,0,906,0,0 +611,ephiram burnette,ephiram,burnette,2013-01-04,Male,1959-05-19,56,Greater than 45,African-American,0,3,0,0,5,-1,2013-01-03 05:51:09,2013-01-15 07:43:49,13000103CF10A,2013-01-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-06-11,2013-11-01,5,11,158,0,0 +612,carlton brown,carlton,brown,2013-09-04,Male,1988-11-16,27,25 - 45,African-American,0,8,0,0,9,-1,2013-09-03 03:15:25,2013-10-25 06:07:27,13012422CF10A,2013-09-03,,1,F,Aggravated Battery / Pregnant,1,14015983CF10A,(F2),0,2014-11-30,Aggravated Battery / Pregnant,2014-11-30,2015-02-04,,1,14015983CF10A,(F2),2014-11-30,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2013-09-04,Risk of Violence,8,High,2013-09-04,2013-10-29,2013-12-11,9,51,55,0,1 +613,constance greene,constance,greene,2014-05-29,Male,1963-09-05,52,Greater than 45,Caucasian,0,1,0,0,4,-1,2014-05-28 04:41:14,2014-06-04 05:26:28,14007417CF10A,2014-05-28,,1,F,Grand Theft in the 3rd Degree,1,15000635MM10A,(M1),0,2015-01-17,Petit Theft/ Prior Conviction,2015-01-17,2015-05-07,,0,,,,,Risk of Recidivism,1,Low,2014-05-29,Risk of Violence,1,Low,2014-05-29,2015-01-17,2015-05-07,4,6,233,1,1 +616,andre wilson,andre,wilson,2013-02-07,Male,1983-11-30,32,25 - 45,African-American,0,2,0,0,3,0,2013-02-07 02:19:38,2013-02-08 05:35:52,13001912CF10A,2013-02-06,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-07,Risk of Violence,2,Low,2013-02-07,2014-06-16,2014-06-20,3,1,494,0,0 +617,jean lumene,jean,lumene,2013-11-26,Male,1955-07-16,60,Greater than 45,Other,0,1,0,0,4,-1,2013-11-25 05:03:19,2013-11-26 08:38:12,13016424CF10A,,2013-11-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2015-01-08,2015-01-09,4,0,408,0,0 +621,christopher pantoja,christopher,pantoja,2013-04-29,Male,1992-06-18,23,Less than 25,Hispanic,0,3,0,0,1,-5,2013-04-24 07:55:53,2013-04-29 12:20:11,13010212MM10A,2013-04-24,,5,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,4,Low,2013-04-29,2013-04-24,2013-04-29,1,0,1068,0,0 +622,andrew ward,andrew,ward,2013-06-20,Female,1976-04-26,39,25 - 45,Caucasian,0,6,0,0,0,-2,2013-06-18 07:12:57,2013-06-19 06:12:35,13011699MM10A,2013-06-18,,2,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-20,Risk of Violence,2,Low,2013-06-20,2013-06-18,2013-06-19,0,0,1016,0,0 +623,dean serfis,dean,serfis,2013-10-19,Male,1959-05-23,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-18 08:52:53,2013-10-19 08:16:43,13019771MM10A,2013-10-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-19,Risk of Violence,1,Low,2013-10-19,2013-10-18,2013-10-19,0,0,895,0,0 +624,kandice metayer,kandice,metayer,2013-08-24,Female,1993-12-03,22,Less than 25,African-American,0,7,0,0,0,0,2013-08-24 02:29:37,2013-08-24 08:38:38,13011936CF10A,2013-08-23,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-24,Risk of Violence,8,High,2013-08-24,2013-08-24,2013-08-24,0,0,951,0,0 +625,kayla stanley,kayla,stanley,2013-08-20,Female,1989-03-24,27,25 - 45,African-American,0,2,0,0,1,-31,2013-07-20 10:54:56,2013-07-21 05:31:13,13010205CF10A,2013-07-20,,31,F,Use Scanning Device to Defraud,1,15000741MM40A,(M2),,2015-01-13,Petit Theft,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-20,Risk of Violence,2,Low,2013-08-20,2013-07-20,2013-07-21,1,0,511,1,1 +627,leroy battie,leroy,battie,2013-04-19,Male,1963-02-06,53,Greater than 45,African-American,0,6,0,0,11,-1,2013-04-18 08:45:19,2013-08-06 09:11:16,13005565CF10A,,2013-04-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-19,Risk of Violence,3,Low,2013-04-19,2013-04-18,2013-08-06,11,109,1078,0,0 +628,daniel steggerda,daniel,steggerda,2014-07-31,Male,1990-10-12,25,25 - 45,Caucasian,0,2,0,0,0,0,2014-07-31 03:49:54,2014-07-31 08:39:54,14028010MU10A,2014-07-31,,0,M,Driving Under The Influence,1,15000242MM20A,(M2),354,2014-12-30,Susp Drivers Lic 1st Offense,2015-12-19,2015-12-19,,0,,,,,Risk of Recidivism,2,Low,2014-07-31,Risk of Violence,3,Low,2014-07-31,2015-12-19,2015-12-19,0,0,152,1,1 +629,kenny castillo,kenny,castillo,2013-10-28,Male,1995-03-28,21,Less than 25,Hispanic,0,3,0,0,0,0,2013-10-28 03:10:30,2013-10-28 07:42:27,13020395MM10A,2013-10-28,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-28,Risk of Violence,6,Medium,2013-10-28,2013-10-28,2013-10-28,0,0,886,0,0 +630,daniel fosca,daniel,fosca,2014-02-09,Male,1993-10-02,22,Less than 25,Caucasian,0,3,0,0,0,-1,2014-02-08 09:30:32,2014-02-10 08:41:20,14001802CF10A,2014-02-08,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-09,Risk of Violence,5,Medium,2014-02-09,2014-02-08,2014-02-10,0,1,782,0,0 +633,leslie fanning,leslie,fanning,2013-04-29,Female,1957-07-29,58,Greater than 45,Caucasian,0,1,0,0,2,-23,2013-04-06 08:22:37,2013-04-07 12:56:04,13006620MM10A,2013-04-06,,23,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-10-29,2013-11-15,2,0,183,0,0 +635,deverick jefferson,deverick,jefferson,2014-01-26,Male,1985-04-01,31,25 - 45,African-American,0,3,0,0,7,0,2014-01-26 01:17:17,2014-01-27 03:11:10,14001117CF10A,2014-01-25,,1,M,Aggravated Battery / Pregnant,1,14035639TC10A,(M2),,2014-09-08,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-26,Risk of Violence,2,Low,2014-01-26,2014-01-26,2014-01-27,7,1,225,1,1 +637,ryan ingber,ryan,ingber,2013-06-26,Male,1994-04-06,22,Less than 25,Caucasian,0,5,0,0,1,-1,2013-06-25 11:20:19,2013-06-26 01:21:56,13008932CF10A,2013-06-25,,1,F,False Ownership Info/Pawn Item,1,13015295CF10A,(F3),1,2013-11-02,Possession of Cocaine,2013-11-03,2013-11-21,,0,,,,,Risk of Recidivism,5,Medium,2013-06-26,Risk of Violence,5,Medium,2013-06-26,2015-01-15,2015-11-01,1,0,129,1,1 +638,steve sevil,steve,sevil,2013-01-10,Male,1987-07-27,28,25 - 45,African-American,0,6,0,0,8,-1,2013-01-09 01:31:01,2013-01-12 12:38:27,13000393CF10A,2013-01-09,,1,F,Uttering a Forged Instrument,1,13005721CF10A,(F1),,2013-01-16,Deliver Cocaine 1000FT School,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-10,Risk of Violence,6,Medium,2013-01-10,2013-01-09,2013-01-12,8,2,6,1,1 +639,ronelson stark,ronelson,stark,2013-09-15,Male,1973-10-04,42,25 - 45,Other,0,1,0,0,1,-1,2013-09-14 06:17:52,2013-09-16 07:28:47,13013046CF10A,,2013-09-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-15,Risk of Violence,1,Low,2013-09-15,2013-09-14,2013-09-16,1,1,929,0,0 +640,shane lewis,shane,lewis,2013-08-11,Male,1995-07-09,20,Less than 25,African-American,0,7,0,0,0,0,2013-08-11 10:00:24,2013-08-12 07:46:52,13011265CF10A,2013-08-11,,0,F,Grand Theft (Motor Vehicle),1,13004124MM40A,(M1),,2013-10-05,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-11,Risk of Violence,8,High,2013-08-11,2013-08-11,2013-08-12,0,1,55,1,1 +641,edward holloway,edward,holloway,2014-11-03,Male,1986-11-08,29,25 - 45,Caucasian,0,6,0,0,0,0,2014-11-03 02:36:08,2014-11-08 12:48:35,14015878MM10A,2014-11-03,,0,M,Battery,1,15012389MM10A,(M1),,2015-11-29,Battery,,,,1,15012389MM10A,(M1),2015-11-29,Battery,Risk of Recidivism,6,Medium,2014-11-03,Risk of Violence,4,Low,2014-11-03,2014-11-03,2014-11-08,0,5,391,1,1 +643,courtney battle,courtney,battle,2013-12-02,Male,1987-04-16,29,25 - 45,African-American,0,10,0,0,8,178,2014-05-29 12:37:30,2014-08-25 03:36:26,12002654CF10A,,2012-03-28,614,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-02,Risk of Violence,9,High,2013-12-02,2014-05-29,2014-08-25,8,0,178,0,0 +644,ricky simmons,ricky,simmons,2013-01-20,Male,1957-05-01,58,Greater than 45,African-American,0,7,0,0,21,-1,2013-01-19 04:12:14,2013-03-19 06:59:49,12022220MM10A,,2013-01-18,2,M,arrest case no charge,1,13004944CF10A,(M1),0,2013-04-06,Resist/Obstruct W/O Violence,2013-04-06,2013-04-10,,0,,,,,Risk of Recidivism,7,Medium,2013-01-20,Risk of Violence,4,Low,2013-01-20,2013-04-06,2013-04-10,21,58,76,1,1 +645,bernard scott,bernard,scott,2013-02-14,Male,1993-11-25,22,Less than 25,African-American,0,7,0,0,3,-1,2013-02-13 05:57:01,2013-05-30 09:53:38,13002233CF10A,2013-02-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-14,Risk of Violence,6,Medium,2013-02-14,2014-04-10,2014-04-16,3,105,420,0,0 +646,raul mora,raul,mora,2013-12-10,Male,1967-11-12,48,Greater than 45,Hispanic,0,1,0,0,1,0,2013-12-10 03:46:31,2013-12-11 03:41:00,13022856MM10A,2013-12-10,,0,M,Operating W/O Valid License,1,14015904MU10A,(M2),,2014-04-24,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-10,2013-12-11,1,1,135,1,1 +647,cesar turcios,cesar,turcios,2013-01-18,Male,1979-02-13,37,25 - 45,Caucasian,0,4,0,0,0,0,2013-01-18 05:11:46,2013-01-18 08:38:29,13000889CF10A,2013-01-18,,0,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-18,Risk of Violence,3,Low,2013-01-18,2013-01-18,2013-01-18,0,0,1169,0,0 +648,rickey butler,rickey,butler,2014-11-21,Male,1959-02-25,57,Greater than 45,African-American,0,5,0,0,1,-1,2014-11-20 07:13:25,2014-12-16 02:02:17,14015626CF10A,2014-11-20,,1,F,Felony Petit Theft,1,15000820CF10A,(M1),0,2015-01-19,Possess Cannabis/20 Grams Or Less,2015-01-19,2015-05-17,,0,,,,,Risk of Recidivism,5,Medium,2014-11-21,Risk of Violence,6,Medium,2014-11-21,2015-01-19,2015-05-17,1,25,59,1,1 +649,alejandro remis,alejandro,remis,2013-08-19,Male,1988-10-11,27,25 - 45,Caucasian,0,1,0,0,3,-22,2013-07-28 02:14:16,2013-07-28 02:01:46,13010525CF10A,2013-07-28,,22,M,Fleeing or Eluding a LEO,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-07-28,2013-07-28,3,0,956,0,0 +651,ervin watson,ervin,watson,2013-04-12,Male,1990-02-18,26,25 - 45,African-American,0,4,0,0,3,0,2013-04-12 06:16:59,2013-05-15 07:34:15,13005307CF10A,2013-04-12,,0,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-07-09,2013-07-10,3,33,88,0,0 +653,julio ramos,julio,ramos,2013-11-13,Male,1991-10-12,24,Less than 25,Caucasian,0,8,1,1,3,0,2013-11-13 03:26:47,2013-11-13 08:24:17,13015793CF10A,2013-11-13,,0,F,"Poss3,4 Methylenedioxymethcath",1,14066428TC20A,(M2),179,2014-09-20,Operating W/O Valid License,2015-03-18,2015-03-27,,0,,,,,Risk of Recidivism,8,High,2013-11-13,Risk of Violence,5,Medium,2013-11-13,2014-07-16,2014-07-30,3,0,245,0,1 +654,aaron hullander,aaron,hullander,2013-12-09,Male,1983-02-19,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-08 02:41:16,2013-12-09 08:36:04,13016972CF10A,2013-12-08,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,2,Low,2013-12-09,2013-12-08,2013-12-09,0,0,844,0,0 +656,sean naar,sean,naar,2013-01-07,Male,1987-01-25,29,25 - 45,African-American,0,6,0,0,2,-1,2013-01-06 10:04:53,2013-01-07 09:20:44,12015053CF10A,,2013-01-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-07,Risk of Violence,3,Low,2013-01-07,2013-01-06,2013-01-07,2,0,1180,0,0 +657,brittany brantley,brittany,brantley,2014-01-19,Female,1991-06-23,24,Less than 25,African-American,0,10,0,0,3,-1,2014-01-18 08:34:16,2014-01-19 08:44:14,14000791CF10A,2014-01-18,,1,F,Grand Theft in the 3rd Degree,1,14009496CF10A,(F3),,2014-03-14,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,10,High,2014-01-19,Risk of Violence,9,High,2014-01-19,2014-09-11,2014-12-20,3,0,54,1,1 +659,pablo rocha,pablo,rocha,2014-07-28,Male,1996-05-26,19,Less than 25,Caucasian,0,10,0,1,1,-1,2014-07-27 04:46:20,2014-08-28 05:30:10,14010239CF10A,2014-07-27,,1,F,Felony Battery (Dom Strang),1,15001088MM10A,(M1),0,2015-01-27,Petit Theft $100- $300,2015-01-27,2015-01-30,,0,,,,,Risk of Recidivism,10,High,2014-07-28,Risk of Violence,8,High,2014-07-28,2014-11-16,2014-11-21,1,31,111,0,1 +660,carlos rosario,carlos,rosario,2013-10-15,Male,1980-04-10,36,25 - 45,Caucasian,0,1,0,0,2,-1,2013-10-14 07:59:18,2013-10-15 07:40:50,13019495MM10A,2013-10-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-15,Risk of Violence,1,Low,2013-10-15,2013-10-14,2013-10-15,2,0,899,0,0 +662,lisette echevarria,lisette,echevarria,2013-04-26,Female,1991-12-20,24,Less than 25,Caucasian,0,5,0,0,0,0,2013-04-26 02:32:29,2013-04-26 08:01:47,13006023CF10A,2013-04-25,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2013-04-26,2013-04-26,0,0,1071,0,0 +664,robson de souza,robson,de souza,2013-05-13,Male,1982-03-22,34,25 - 45,Caucasian,0,1,0,0,0,0,2013-05-13 06:00:31,2013-05-13 07:26:25,13009229MM10A,2013-05-13,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-13,2013-05-13,0,0,1054,0,0 +668,felix manzueta,felix,manzueta,2013-03-12,Male,1990-09-18,25,25 - 45,Hispanic,0,5,0,0,2,-1,2013-03-11 08:47:22,2013-03-12 01:01:00,13003587CF10A,,2013-03-11,1,F,arrest case no charge,1,13008082CF10A,(M1),0,2013-06-07,Resist/Obstruct W/O Violence,2013-06-07,2013-06-09,,1,13008082CF10A,(F2),2013-06-07,Aggravated Battery,Risk of Recidivism,5,Medium,2013-03-12,Risk of Violence,3,Low,2013-03-12,2013-06-07,2013-06-09,2,0,87,1,1 +669,robby ireland,robby,ireland,2014-03-05,Male,1996-02-04,20,Less than 25,African-American,1,10,0,1,1,-1,2014-03-04 08:07:24,2014-03-05 08:09:37,14003032CF10A,,2014-03-04,1,F,arrest case no charge,1,14016748MM10A,(M2),0,2014-10-30,Trespass Struct/Conveyance,2014-10-30,2015-04-07,,0,,,,,Risk of Recidivism,10,High,2014-03-05,Risk of Violence,8,High,2014-03-05,2014-10-30,2015-04-07,1,0,239,1,1 +673,adriel stockton,adriel,stockton,2014-09-08,Male,1987-08-26,28,25 - 45,Hispanic,0,5,0,0,2,-263,2013-12-19 10:00:03,2013-12-20 12:55:18,12008430MM10A,,2013-12-19,263,M,arrest case no charge,1,15015390CF10A,(F2),0,2015-11-27,Robbery / No Weapon,2015-11-27,2015-12-11,,1,15015390CF10A,(F3),2015-11-27,Battery on a Person Over 65,Risk of Recidivism,5,Medium,2014-09-08,Risk of Violence,3,Low,2014-09-08,2015-11-27,2015-12-11,2,0,445,1,1 +674,haveard cobb,haveard,cobb,2013-09-24,Male,1991-07-14,24,Less than 25,African-American,0,2,0,0,1,-1,2013-09-23 10:13:09,2013-09-25 09:17:37,13018140MM10A,2013-09-23,,1,M,Battery,1,14009581MM10A,(M1),0,2014-06-18,Battery,2014-06-18,2014-06-19,,1,14009581MM10A,(M1),2014-06-18,Battery,Risk of Recidivism,2,Low,2013-09-24,Risk of Violence,4,Low,2013-09-24,2014-06-18,2014-06-19,1,1,267,1,1 +675,thomas zaremba,thomas,zaremba,2013-01-22,Male,1954-08-28,61,Greater than 45,Caucasian,0,1,0,0,4,-1,2013-01-21 08:12:45,2013-01-23 02:40:57,01006487CF10D,,2013-01-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-22,Risk of Violence,1,Low,2013-01-22,2013-01-21,2013-01-23,4,1,1165,0,0 +678,johnnie randell,johnnie,randell,2014-03-05,Female,1965-12-14,50,Greater than 45,African-American,0,2,0,0,3,0,2014-03-05 12:31:35,2014-03-05 08:38:53,14003105CF10A,2014-03-04,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-05,Risk of Violence,1,Low,2014-03-05,2014-03-05,2014-03-05,3,0,758,0,0 +679,anthony louis,anthony,louis,2013-03-19,Male,1985-07-19,30,25 - 45,African-American,0,1,0,0,1,0,2013-03-19 01:34:13,2013-03-23 12:51:55,13005335MM10A,2013-03-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-19,Risk of Violence,2,Low,2013-03-19,2013-03-19,2013-03-23,1,4,1109,0,0 +680,broderick alston,broderick,alston,2013-11-30,Male,1977-09-04,38,25 - 45,African-American,0,3,0,0,5,-1,2013-11-29 07:00:11,2013-11-30 12:28:10,13016563CF10A,2013-11-29,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-30,Risk of Violence,2,Low,2013-11-30,2013-11-29,2013-11-30,5,0,853,0,0 +681,christopher kasten,christopher,kasten,2013-12-13,Male,1991-06-06,24,Less than 25,Caucasian,0,1,0,0,0,-1,2013-12-12 09:51:57,2013-12-13 01:45:42,13023013MM10A,2013-12-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-13,Risk of Violence,2,Low,2013-12-13,2013-12-12,2013-12-13,0,0,840,0,0 +684,steven wilson,steven,wilson,2013-10-02,Male,1971-03-19,45,Greater than 45,African-American,0,2,0,0,16,-83,2013-07-11 11:35:36,2013-09-14 03:05:59,13010099CF10A,,2013-07-17,77,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-07-11,2013-09-14,16,0,912,0,0 +685,sabrina gray,sabrina,gray,2014-10-27,Female,1969-12-19,46,Greater than 45,African-American,0,10,0,0,2,-1,2014-10-26 11:14:31,2014-11-05 04:22:00,14014417CF10A,2014-10-26,,1,F,Grand Theft in the 3rd Degree,1,15003635CF10A,(F3),0,2015-03-17,Use of Anti-Shoplifting Device,2015-03-17,2015-03-18,,0,,,,,Risk of Recidivism,10,High,2014-10-27,Risk of Violence,8,High,2014-10-27,2015-03-17,2015-03-18,2,9,141,1,1 +686,jason andrews,jason,andrews,2013-09-12,Male,1974-11-25,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-09-11 06:01:06,2013-09-15 02:36:35,13017318MM10A,2013-09-11,,1,M,Battery,1,14000843MM40A,(M2),,2014-02-01,Petit Theft,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-15,0,3,142,1,1 +687,trevoy williams,trevoy,williams,2014-10-30,Male,1995-08-20,20,Less than 25,Other,0,8,0,1,0,-1,2014-10-29 03:32:22,2014-11-20 08:32:38,14014530CF10A,2014-10-29,,1,F,Possession of Cocaine,1,15003795CF10A,(F3),0,2015-03-20,Possession Of Alprazolam,2015-03-20,2015-04-13,,1,15003795CF10A,(M2),2015-03-20,Assault,Risk of Recidivism,8,High,2014-10-30,Risk of Violence,6,Medium,2014-10-30,2015-03-20,2015-04-13,0,21,141,1,1 +688,ian turnbull,ian,turnbull,2013-04-17,Male,1989-03-05,27,25 - 45,African-American,0,8,0,0,13,-1,2013-04-16 07:03:53,2013-04-17 10:30:53,13007374MM10A,2013-04-16,,1,M,Possess Cannabis/20 Grams Or Less,1,15004896MM10A,(M1),,2015-04-06,Battery,,,,1,15004896MM10A,(M1),2015-04-06,Battery,Risk of Recidivism,8,High,2013-04-17,Risk of Violence,9,High,2013-04-17,2016-03-18,2016-03-18,13,0,719,1,1 +689,beverly smith,beverly,smith,2013-08-07,Female,1964-10-23,51,Greater than 45,African-American,0,8,0,0,16,-122,2013-04-07 10:07:51,2013-06-12 10:56:00,13004969CF10A,2013-04-07,,122,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-07,Risk of Violence,1,Low,2013-08-07,2013-04-07,2013-06-12,16,0,968,0,0 +691,marlon turner,marlon,turner,2013-10-16,Male,1989-10-11,26,25 - 45,African-American,0,6,0,0,1,-1,2013-10-15 07:08:32,2013-10-28 08:48:39,13019551MM10A,2013-10-15,,1,M,Battery,1,13014688CF10A,(F3),523,2013-10-18,Crim Use of Personal ID Info,2015-03-25,2015-04-26,,0,,,,,Risk of Recidivism,6,Medium,2013-10-16,Risk of Violence,3,Low,2013-10-16,2013-10-15,2013-10-28,1,0,2,1,1 +692,xavier brown,xavier,brown,2014-10-30,Male,1987-03-01,29,25 - 45,African-American,0,5,0,0,3,0,2014-10-30 02:21:37,2014-10-31 04:43:59,14014588CF10A,2014-10-30,,0,F,Possession of Ethylone,1,15015066TC40A,(M2),,2015-02-25,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2014-10-30,Risk of Violence,3,Low,2014-10-30,2014-10-30,2014-10-31,3,1,118,1,1 +693,steve stanley,steve,stanley,2013-10-25,Male,1964-03-18,52,Greater than 45,Caucasian,0,5,0,0,6,-1,2013-10-24 07:05:40,2013-10-26 02:35:00,13014853CF10A,2013-10-24,,1,F,Grand Theft in the 3rd Degree,1,14001678MM40A,(M1),,2014-04-05,Trespass Other Struct/Conve,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,3,Low,2013-10-25,2013-10-24,2013-10-26,6,1,162,1,1 +694,stephen washburn,stephen,washburn,2014-02-16,Male,1987-05-08,28,25 - 45,Caucasian,0,4,0,0,1,0,2014-02-16 12:19:08,2014-02-20 12:30:39,14002157CF10A,2014-02-15,,1,F,Agg Battery Grt/Bod/Harm,1,14011224MM10A,(M2),0,2014-07-23,Assault,2014-07-23,2014-08-14,,1,14011224MM10A,(M2),2014-07-23,Assault,Risk of Recidivism,4,Low,2014-02-16,Risk of Violence,3,Low,2014-02-16,2014-07-23,2014-08-14,1,4,157,1,1 +696,dorian osceola,dorian,osceola,2014-01-13,Female,1981-06-30,34,25 - 45,Native American,0,7,0,0,4,-152,2013-08-14 03:52:36,2013-11-19 04:05:13,13007784CF10A,,2013-08-14,152,F,arrest case no charge,1,14009863CF10A,(F3),3,2014-07-16,Possession of Cocaine,2014-07-19,2014-07-19,,0,,,,,Risk of Recidivism,7,Medium,2014-01-13,Risk of Violence,3,Low,2014-01-13,2015-07-08,2015-07-24,4,0,184,1,1 +697,nathan yetts,nathan,yetts,2014-11-12,Male,1960-10-05,55,Greater than 45,African-American,0,3,0,0,5,-1,2014-11-11 12:52:32,2015-03-10 12:38:48,14015135CF10A,2014-11-11,,1,F,Felony Petit Theft,1,14015674CF10A,(F3),,2014-11-19,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,3,Low,2014-11-12,Risk of Violence,1,Low,2014-11-12,2014-11-11,2015-03-10,5,0,7,1,1 +700,brandon whitfield,brandon,whitfield,2013-03-05,Male,1989-07-22,26,25 - 45,African-American,1,9,1,0,10,-1,2013-03-04 11:33:53,2013-03-05 04:54:32,13003239CF10A,2013-03-04,,1,F,Aggravated Battery,1,14008023CF10A,(F3),0,2014-06-10,Poss Pyrrolidinovalerophenone,2014-06-10,2014-06-10,,1,15008298CF10A,(F3),2015-06-27,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2013-03-05,Risk of Violence,6,Medium,2013-03-05,2014-06-10,2014-06-10,10,0,462,0,1 +701,eddie mosley,eddie,mosley,2013-09-11,Male,1987-08-20,28,25 - 45,African-American,0,10,0,0,5,-1,2013-09-10 04:03:57,2013-09-11 08:05:58,13012799CF10A,2013-09-10,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-11,Risk of Violence,10,High,2013-09-11,2013-09-10,2013-09-11,5,0,933,0,0 +703,robert zinser,robert,zinser,2013-12-12,Male,1953-03-17,63,Greater than 45,Caucasian,0,1,0,0,2,-3,2013-12-09 08:43:05,2013-12-12 10:30:31,13017021CF10A,2013-12-09,,3,F,Felony DUI (level 3),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-12,Risk of Violence,1,Low,2013-12-12,2014-06-25,2014-06-30,2,0,195,0,0 +704,richard brown,richard,brown,2013-04-17,Male,1973-12-15,42,25 - 45,African-American,0,1,0,0,0,0,2013-04-17 03:45:48,2013-04-18 05:26:44,13005521CF10A,2013-04-17,,0,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2013-04-17,2013-04-18,0,1,1080,0,0 +707,davion silvera,davion,silvera,2013-04-20,Male,1992-06-04,23,Less than 25,African-American,1,6,2,2,6,-1,2013-04-19 04:56:58,2013-04-20 01:49:41,13005638CF10A,2013-04-19,,1,F,Driving While License Revoked,1,15010863CF10A,(F3),0,2015-08-22,False Imprisonment,2015-08-22,2015-08-23,,1,15010863CF10A,(M1),2015-08-22,Battery,Risk of Recidivism,6,Medium,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2013-10-03,2013-10-25,6,0,166,0,0 +708,horace tillman,horace,tillman,2014-06-29,Male,1962-03-22,54,Greater than 45,African-American,0,9,0,0,28,-1,2014-06-28 10:26:07,2014-07-04 04:50:37,14008912CF10A,2014-06-28,,1,F,Possession of Cocaine,1,14012714MM10A,(M1),0,2014-08-23,Trespass Other Struct/Convey,2014-08-23,2014-08-25,,0,,,,,Risk of Recidivism,9,High,2014-06-29,Risk of Violence,5,Medium,2014-06-29,2014-08-23,2014-08-25,28,5,55,1,1 +709,trevor dorsey,trevor,dorsey,2014-10-15,Male,1980-11-13,35,25 - 45,African-American,0,7,0,1,8,-1,2014-10-14 03:55:39,2014-10-24 09:06:46,14015069CF10A,2014-10-14,,1,F,Felony Battery w/Prior Convict,1,14015663MM10A,(M1),0,2014-10-29,Viol Pretrial Release Dom Viol,2014-10-29,2014-11-05,,0,,,,,Risk of Recidivism,7,Medium,2014-10-15,Risk of Violence,4,Low,2014-10-15,2014-10-29,2014-11-05,8,9,14,1,1 +711,danielle warren,danielle,warren,2014-07-13,Female,1991-08-17,24,Less than 25,African-American,1,9,0,0,6,-1,2014-07-12 06:31:35,2014-08-07 08:23:48,14009548CF10A,,2014-07-12,1,F,arrest case no charge,1,15004610CF10A,(M1),0,2015-04-08,Unlaw Use False Name/Identity,2015-04-08,2015-08-03,,0,,,,,Risk of Recidivism,9,High,2014-07-13,Risk of Violence,9,High,2014-07-13,2014-12-05,2014-12-08,6,25,145,0,1 +712,derrick stephenson,derrick,stephenson,2014-01-16,Male,1962-03-27,54,Greater than 45,African-American,0,1,0,0,2,-26,2013-12-21 05:27:36,2013-12-22 01:10:00,13023551MM10A,2013-12-21,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2013-12-21,2013-12-22,2,0,806,0,0 +713,dennis williams,dennis,williams,2013-11-24,Male,1958-02-26,58,Greater than 45,African-American,0,6,0,0,12,-1,2013-11-23 08:54:38,2013-11-27 08:50:05,13022024MM10A,2013-11-23,,1,M,DUI Level 0.15 Or Minor In Veh,1,14000418MM20A,(M2),21,2014-01-12,Petit Theft,2014-02-02,2014-03-11,,0,,,,,Risk of Recidivism,6,Medium,2013-11-24,Risk of Violence,3,Low,2013-11-24,2013-11-23,2013-11-27,12,3,49,1,1 +715,luis vallejo,luis,vallejo,2014-12-15,Male,1992-07-05,23,Less than 25,Caucasian,0,5,0,1,1,0,2014-12-15 01:06:38,2014-12-15 07:32:18,14016584CF10A,2014-12-14,,1,M,Resist/Obstruct W/O Violence,1,15006241CF10A,(F3),0,2015-05-13,Grand Theft in the 3rd Degree,2015-05-13,2015-05-14,,0,,,,,Risk of Recidivism,5,Medium,2014-12-15,Risk of Violence,5,Medium,2014-12-15,2015-05-13,2015-05-14,1,0,149,1,1 +716,larence brown,larence,brown,2014-03-10,Male,1981-02-12,35,25 - 45,African-American,0,2,0,0,1,-1,2014-03-09 10:01:46,2014-03-10 09:42:18,14004071MM10A,2014-03-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-10,Risk of Violence,2,Low,2014-03-10,2014-03-09,2014-03-10,1,0,753,0,0 +718,tavon session,tavon,session,2013-11-19,Male,1995-09-20,20,Less than 25,African-American,0,10,0,0,1,0,2013-11-19 02:33:54,2013-11-21 03:37:00,13016073CF10A,2013-11-19,,0,F,Fraudulent Use of Credit Card,1,14002743MM10A,(M1),1,2014-02-16,Unlaw Use False Name/Identity,2014-02-17,2014-02-18,,1,15012940CF10A,(F2),2015-10-06,Agg Flee/Eluding (Injury/Prop Damage),Risk of Recidivism,10,High,2013-11-19,Risk of Violence,10,High,2013-11-19,2014-02-07,2014-02-08,1,2,80,0,1 +720,bradley kirker,bradley,kirker,2013-02-04,Male,1964-08-26,51,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-04 02:44:33,2013-03-11 09:01:18,13001737CF10A,2013-02-04,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-04,2013-03-11,0,35,1152,0,0 +721,christian rivera,christian,rivera,2013-04-27,Male,1991-06-04,24,Less than 25,Hispanic,0,10,0,0,0,0,2013-04-27 02:50:45,2013-04-28 03:43:53,13006075CF10A,2013-04-26,,1,F,"Poss 3,4 MDMA (Ecstasy)",0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-27,Risk of Violence,7,Medium,2013-04-27,2013-04-27,2013-04-28,0,1,1070,0,0 +722,david levy,david,levy,2013-05-30,Male,1979-03-19,37,25 - 45,Caucasian,0,2,0,0,3,-14,2013-05-16 08:42:26,2013-05-23 06:52:01,13007017CF10A,2013-05-16,,14,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-30,Risk of Violence,1,Low,2013-05-30,2013-05-16,2013-05-23,3,0,1037,0,0 +724,dori klein,dori,klein,2014-02-26,Male,1969-04-17,47,Greater than 45,Caucasian,0,1,0,0,3,-1,2014-02-25 11:20:43,2014-02-26 09:34:42,14002661CF10A,2014-02-25,,1,F,Drivg While Lic Suspd/Revk/Can,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2014-02-25,2014-02-26,3,0,765,0,0 +726,christian mansell,christian,mansell,2014-12-24,Male,1982-03-11,34,25 - 45,Caucasian,0,6,0,0,4,-1,2014-12-23 08:14:59,2014-12-24 08:59:44,14016968CF10A,2014-12-23,,1,F,Possession of Cannabis,1,15000494MM20A,(M2),,2015-02-04,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,6,Medium,2014-12-24,Risk of Violence,2,Low,2014-12-24,2014-12-23,2014-12-24,4,0,42,1,1 +727,kevin connors,kevin,connors,2013-09-03,Male,1959-05-26,56,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-09-01 11:41:31,2013-09-02 08:47:35,13012358CF10A,2013-09-01,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-03,Risk of Violence,1,Low,2013-09-03,2013-09-01,2013-09-02,0,0,941,0,0 +728,jason padilla,jason,padilla,2013-12-23,Male,1981-12-19,34,25 - 45,Hispanic,0,1,0,0,4,-1,2013-12-22 11:14:06,2014-01-23 05:54:28,13017638CF10A,2013-12-22,,1,F,Burglary Dwelling Occupied,1,14008974MM10A,(M2),0,2014-06-05,Posses/Disply Susp/Revk/Frd DL,2014-06-05,2014-06-06,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2014-06-05,2014-06-06,4,31,164,1,1 +729,raymond wolf,raymond,wolf,2013-02-25,Male,1956-06-10,59,Greater than 45,Caucasian,0,1,0,0,1,-2,2013-02-23 01:07:25,2013-02-23 09:07:54,13002725CF10A,2013-02-22,,3,F,Burglary Dwelling Assault/Batt,1,13019047TC10A,(M2),73,2013-03-25,Leave Acc/Attend Veh/More $50,2013-06-06,2013-06-14,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-12-18,2013-12-24,1,0,28,1,1 +730,cuong do,cuong,do,2013-05-16,Male,1981-03-30,35,25 - 45,Asian,0,6,0,0,0,-1,2013-05-15 03:27:43,2013-08-24 05:06:24,13006952CF10A,2013-05-15,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-16,Risk of Violence,4,Low,2013-05-16,2013-05-15,2013-08-24,0,100,1051,0,0 +731,jorge moreno,jorge,moreno,2013-02-07,Male,1957-09-15,58,Greater than 45,Hispanic,0,1,0,0,1,-11,2013-01-27 07:57:13,2013-02-06 10:02:46,13001341CF10A,2013-01-27,,11,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2013-01-27,2013-02-06,1,0,1149,0,0 +732,richard chacon,richard,chacon,2013-02-06,Male,1986-08-08,29,25 - 45,Hispanic,0,4,0,0,2,-26,2013-01-11 06:07:32,2013-01-12 04:14:13,13000687MM10A,2013-01-11,,26,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-06,Risk of Violence,2,Low,2013-02-06,2013-01-11,2013-01-12,2,0,1150,0,0 +737,samantha caicedo,samantha,caicedo,2014-04-16,Female,1991-11-01,24,Less than 25,Caucasian,0,9,0,1,6,0,2014-04-16 02:28:47,2014-04-19 11:22:18,14005342CF10A,2014-04-15,,1,F,Poss Contr Subst W/o Prescript,1,16001029MM10A,(M1),0,2016-01-30,Battery,2016-01-30,2016-01-31,,1,16001029MM10A,(M1),2016-01-30,Battery,Risk of Recidivism,9,High,2014-04-16,Risk of Violence,4,Low,2014-04-16,2016-01-30,2016-01-31,6,3,654,1,1 +738,justin leal,justin,leal,2013-11-06,Male,1995-01-20,21,Less than 25,Caucasian,0,9,0,4,2,-1,2013-11-05 11:10:50,2013-11-14 01:27:06,13020886MM10A,2013-11-05,,1,M,Assault,1,14000150MM20A,(M2),,2013-12-13,Mandatory Susp Possess Alcohol,,,,1,14012093CF10A,(F3),2014-07-15,Battery on Law Enforc Officer,Risk of Recidivism,9,High,2013-11-06,Risk of Violence,9,High,2013-11-06,2013-11-05,2013-11-14,2,8,37,1,1 +739,spencer clayborne,spencer,clayborne,2013-04-10,Male,1989-09-22,26,25 - 45,African-American,0,9,0,0,2,,,,12024513MM10A,,2013-03-25,16,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-10,Risk of Violence,6,Medium,2013-04-10,,,2,0,1087,0,0 +740,dung dang,dung,dang,2014-11-21,Male,1965-12-06,50,Greater than 45,Asian,0,7,0,0,5,0,2014-11-21 02:03:06,2014-12-02 08:28:45,14015716CF10A,2014-11-21,,0,F,Driving While License Revoked,1,15001443CF10A,(M1),1,2015-01-30,Unlaw Use False Name/Identity,2015-01-31,2015-04-10,,0,,,,,Risk of Recidivism,7,Medium,2014-11-21,Risk of Violence,5,Medium,2014-11-21,2014-11-21,2014-12-02,5,11,70,1,1 +743,courtney brownlee,courtney,brownlee,2013-02-13,Male,1989-10-28,26,25 - 45,African-American,0,2,0,0,1,-1,2013-02-12 03:08:29,2013-02-13 08:21:18,13002167CF10A,2013-02-12,,1,F,Cash Item w/Intent to Defraud,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-13,Risk of Violence,3,Low,2013-02-13,2013-02-12,2013-02-13,1,0,1143,0,0 +745,jessica andujar,jessica,andujar,2013-09-06,Female,1985-12-28,30,25 - 45,Caucasian,0,2,0,0,0,-1,2013-09-05 10:47:19,2013-09-06 11:08:59,13016989MM10A,2013-09-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-06,Risk of Violence,2,Low,2013-09-06,2013-09-05,2013-09-06,0,0,938,0,0 +750,ruben cotilla,ruben,cotilla,2013-10-01,Male,1986-05-04,29,25 - 45,Caucasian,0,9,0,0,6,-43,2013-08-19 01:15:23,2013-09-06 08:35:02,13003618CF10A,,2013-08-19,43,F,arrest case no charge,1,14014420TC40A,(M2),71,2014-02-26,Driving License Suspended,2014-05-08,2014-07-01,,0,,,,,Risk of Recidivism,9,High,2013-10-01,Risk of Violence,8,High,2013-10-01,2014-05-08,2014-07-01,6,0,148,1,1 +752,raymond ondic,raymond,ondic,2014-03-26,Male,1986-08-30,29,25 - 45,Caucasian,0,4,0,0,0,0,2014-03-26 12:14:14,2014-03-27 12:18:56,14005233MM10A,2014-03-25,,1,M,Battery,1,14008675MM10A,(M1),0,2014-05-31,Battery,2014-05-31,2014-06-09,,1,14008675MM10A,(M1),2014-05-31,Battery,Risk of Recidivism,4,Low,2014-03-26,Risk of Violence,4,Low,2014-03-26,2014-05-31,2014-06-09,0,1,66,1,1 +753,gregory wilson,gregory,wilson,2013-02-18,Male,1961-08-25,54,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-17 03:23:30,2013-02-18 06:40:01,13003415MM10A,2013-02-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-18,Risk of Violence,1,Low,2013-02-18,2013-02-17,2013-02-18,0,0,1138,0,0 +754,tawfiq hamin,tawfiq,hamin,2013-11-13,Male,1987-01-16,29,25 - 45,African-American,0,4,0,0,4,-1,2013-11-12 01:08:14,2013-11-20 06:26:56,13015733CF10A,2013-11-12,,1,F,False Ownership Info/Pawn Item,1,14006688CF10A,(F3),,2014-01-02,Burglary Unoccupied Dwelling,,,,1,14006870MM10A,(M1),2014-04-24,Battery,Risk of Recidivism,4,Low,2013-11-13,Risk of Violence,4,Low,2013-11-13,2013-11-12,2013-11-20,4,7,50,1,1 +756,deborah zachary,deborah,zachary,2013-10-11,Female,1956-08-18,59,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-10-09 09:01:32,2013-10-10 07:57:22,13019214MM10A,2013-10-09,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-11,Risk of Violence,1,Low,2013-10-11,2013-10-09,2013-10-10,0,0,903,0,0 +757,walter anderson,walter,anderson,2013-03-27,Male,1977-11-15,38,25 - 45,African-American,0,5,0,0,0,0,2013-03-27 01:50:02,2013-03-28 08:18:15,13004425CF10A,2013-03-26,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-27,Risk of Violence,1,Low,2013-03-27,2013-03-27,2013-03-28,0,1,1101,0,0 +758,xiomara rivera,xiomara,rivera,2013-09-11,Female,1993-12-02,22,Less than 25,Hispanic,0,5,0,0,2,49,2013-10-30 01:49:29,2013-11-18 01:00:50,13007858CF10A,2013-06-03,,100,F,Possession of Cocaine,1,15005940MM10A,(M2),0,2015-05-31,Unlaw LicTag/Sticker Attach,2015-05-31,2015-05-31,,0,,,,,Risk of Recidivism,5,Medium,2013-09-11,Risk of Violence,4,Low,2013-09-11,2013-10-30,2013-11-18,2,0,49,0,1 +760,mark tindall,mark,tindall,2014-09-25,Male,1987-02-11,29,25 - 45,African-American,0,7,0,0,4,-53,2014-08-03 09:45:47,2014-08-29 07:47:26,14010583CF10A,,2014-08-03,53,F,arrest case no charge,1,15001709CF10A,(M1),0,2015-02-05,Resist/Obstruct W/O Violence,2015-02-05,2015-04-23,,1,15001709CF10A,(F3),2015-02-05,Battery on Law Enforc Officer,Risk of Recidivism,7,Medium,2014-09-25,Risk of Violence,6,Medium,2014-09-25,2015-02-05,2015-04-23,4,0,133,1,1 +762,cameron berry,cameron,berry,2013-02-21,Male,1988-07-16,27,25 - 45,Caucasian,0,3,0,0,1,-1,2013-02-20 09:27:13,2013-02-21 12:19:53,13007640TC10A,2013-02-20,,1,M,Opert With Susp DL 2nd Offens,1,14005658TC10A,(M1),0,2014-02-12,Opert With Susp DL 2nd Offens,2014-02-12,2014-02-18,,0,,,,,Risk of Recidivism,3,Low,2013-02-21,Risk of Violence,3,Low,2013-02-21,2014-02-12,2014-02-18,1,0,356,1,1 +763,jorge valle,jorge,valle,2014-05-18,Male,1990-04-14,26,25 - 45,Hispanic,0,5,0,0,7,-1,2014-05-17 07:40:21,2014-05-18 09:31:41,14006865CF10A,2014-05-17,,1,F,Aggravated Assault W/Dead Weap,1,14016192MM10A,(M1),0,2014-10-09,Resist/Obstruct W/O Violence,2014-10-09,2014-10-10,,0,,,,,Risk of Recidivism,5,Medium,2014-05-18,Risk of Violence,5,Medium,2014-05-18,2014-10-09,2014-10-10,7,0,144,1,1 +764,luis sanchez,luis,sanchez,2013-04-21,Male,1963-10-26,52,Greater than 45,Hispanic,0,3,0,0,20,-1,2013-04-20 10:15:03,2013-05-18 07:59:38,13005646CF10A,2013-04-20,,1,F,False Bomb Report,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-21,Risk of Violence,1,Low,2013-04-21,2013-08-03,2013-08-06,20,27,104,0,0 +765,henry williams,henry,williams,2013-12-21,Male,1949-09-19,66,Greater than 45,African-American,0,6,0,0,33,0,2013-12-21 12:34:16,2014-01-04 03:41:19,13017585CF10A,2013-12-20,,1,F,Crimin Mischief Damage $1000+,1,15000331MM30A,(M1),173,2015-01-08,Possess Cannabis/20 Grams Or Less,2015-06-30,2015-07-01,,0,,,,,Risk of Recidivism,6,Medium,2013-12-21,Risk of Violence,2,Low,2013-12-21,2013-12-21,2014-01-04,33,14,383,1,1 +769,zachary libman,zachary,libman,2013-03-09,Male,1989-02-17,27,25 - 45,Caucasian,0,5,0,0,2,0,2013-03-09 02:19:02,2013-03-09 09:06:46,13003509CF10A,2013-03-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-09,Risk of Violence,4,Low,2013-03-09,2013-03-09,2013-03-09,2,0,1119,0,0 +770,freddy cardona,freddy,cardona,2013-04-22,Male,1965-02-15,51,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-04-21 02:10:18,2013-04-22 03:59:29,13007691MM10A,2013-04-21,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2014-09-12,2014-09-12,1,0,508,0,0 +771,robert newton,robert,newton,2013-10-03,Male,1981-01-02,35,25 - 45,Caucasian,0,2,0,0,1,0,2013-10-03 07:44:08,2013-12-16 08:06:46,13013878CF10A,,2013-10-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-03,Risk of Violence,3,Low,2013-10-03,2013-10-03,2013-12-16,1,74,911,0,0 +774,james adams,james,adams,2013-08-12,Male,1989-10-12,26,25 - 45,African-American,0,7,0,0,1,,,,09011772CF10A,2009-06-24,,1510,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-12,Risk of Violence,4,Low,2013-08-12,,,1,0,963,0,0 +775,glen myers,glen,myers,2014-02-03,Male,1963-10-09,52,Greater than 45,Caucasian,0,3,0,0,4,-1,2014-02-02 02:24:43,2014-02-03 01:24:23,14001817MM10A,2014-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-03,Risk of Violence,2,Low,2014-02-03,2014-02-02,2014-02-03,4,0,788,0,0 +779,monica dunlap,monica,dunlap,2013-05-16,Female,1980-08-27,35,25 - 45,African-American,0,2,0,0,12,-54,2013-03-23 12:31:12,2013-03-23 02:23:21,13012402TC10A,2013-03-22,,55,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-16,Risk of Violence,1,Low,2013-05-16,2013-07-16,2013-07-16,12,0,61,0,0 +781,norman joseph,norman,joseph,2013-03-16,Male,1967-06-13,48,Greater than 45,Other,0,5,0,0,12,0,2013-03-16 03:19:01,2013-03-17 08:00:36,13003858CF10A,2013-03-16,,0,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-16,Risk of Violence,4,Low,2013-03-16,2013-03-16,2013-03-17,12,1,1112,0,0 +785,chaquiay anglin,chaquiay,anglin,2013-10-27,Female,1989-09-18,26,25 - 45,African-American,0,2,0,0,0,-1,2013-10-26 02:28:18,2013-10-27 08:36:51,13020322MM10A,2013-10-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-27,Risk of Violence,2,Low,2013-10-27,2013-10-26,2013-10-27,0,0,887,0,0 +786,barbara phetakoune,barbara,phetakoune,2014-01-14,Female,1967-10-29,48,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-14 04:43:41,2014-01-15 03:21:55,14001976MU10A,2014-01-14,,0,M,Leave Accd/Attend Veh/Less $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-14,2014-01-15,0,1,808,0,0 +787,rayman ruiz,rayman,ruiz,2013-08-27,Male,1985-05-03,30,25 - 45,Hispanic,0,4,0,0,7,-1,2013-08-26 11:08:06,2013-10-03 05:13:08,13016300MM10A,2013-08-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,5,Medium,2013-08-27,2013-08-26,2013-10-03,7,37,948,0,0 +788,kareem williams,kareem,williams,2013-11-03,Male,1987-08-02,28,25 - 45,Other,0,1,0,0,2,-1,2013-11-02 05:18:38,2013-11-04 04:03:11,13020690MM10A,2013-11-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,2,Low,2013-11-03,2013-11-02,2013-11-04,2,1,880,0,0 +789,oswald mcbride,oswald,mcbride,2013-10-08,Male,1983-02-28,33,25 - 45,African-American,0,3,0,0,2,0,2013-10-08 02:14:25,2013-10-08 11:59:33,13019062MM10A,2013-10-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-08,Risk of Violence,3,Low,2013-10-08,2013-12-23,2013-12-24,2,0,76,0,0 +790,salvatoris williams,salvatoris,williams,2013-04-23,Female,1981-07-19,34,25 - 45,African-American,0,4,0,0,6,-1,2013-04-22 08:12:13,2013-06-13 09:46:00,13005780CF10A,2013-04-22,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-23,Risk of Violence,2,Low,2013-04-23,2015-07-05,2015-07-06,6,51,803,0,0 +792,sastri abhilash,sastri,abhilash,2013-12-20,Male,1991-01-05,25,25 - 45,Other,0,1,0,0,0,0,2013-12-20 03:36:29,2013-12-20 02:06:03,13023510MM10A,2013-12-20,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-20,Risk of Violence,2,Low,2013-12-20,2013-12-20,2013-12-20,0,0,833,0,0 +793,sherman dean,sherman,dean,2014-11-06,Male,1956-08-09,59,Greater than 45,African-American,0,7,0,0,10,-1,2014-11-05 07:10:16,2015-03-12 10:11:59,12008376CF10A,,2014-11-05,1,F,arrest case no charge,1,16000510MO40A,(MO3),0,2016-01-06,Carry Open/Uncov Bev In Pub,2016-01-06,2016-01-07,,0,,,,,Risk of Recidivism,7,Medium,2014-11-06,Risk of Violence,4,Low,2014-11-06,2016-01-06,2016-01-07,10,126,426,1,1 +794,carlis mccrea,carlis,mccrea,2014-06-11,Male,1986-08-09,29,25 - 45,African-American,0,5,0,0,5,-1,2014-06-10 04:43:13,2014-06-12 09:19:13,14008044CF10A,2014-06-10,,1,F,Poss Contr Subst W/o Prescript,1,14003088MM40A,(M1),,2014-07-02,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2014-06-11,Risk of Violence,3,Low,2014-06-11,2014-06-10,2014-06-12,5,1,21,1,1 +796,juan delgado-roger,juan,delgado-roger,2013-04-10,Male,1991-04-30,24,Less than 25,Caucasian,0,2,0,0,0,0,2013-04-10 01:50:54,2013-04-11 07:15:22,13005116CF10A,2013-04-10,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,3,Low,2013-04-10,2015-01-08,2015-01-14,0,1,638,0,0 +798,ernest reed,ernest,reed,2013-03-02,Male,1968-02-02,48,Greater than 45,Caucasian,0,7,0,0,1,-1,2013-03-01 07:50:26,2013-07-08 08:13:11,13003128CF10A,2013-03-01,,1,F,Agg Battery Grt/Bod/Harm,1,14004829MM10A,(M2),,2013-12-26,Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-02,Risk of Violence,4,Low,2013-03-02,2013-03-01,2013-07-08,1,128,299,1,1 +800,leroy ware,leroy,ware,2013-02-08,Male,1960-06-07,55,Greater than 45,African-American,0,8,0,0,0,61,2013-04-10 01:10:20,2013-05-25 07:54:19,13002796MM10A,2013-02-07,,1,M,Battery,1,13005155CF10A,(F3),0,2013-04-10,Battery on a Person Over 65,2013-04-10,2013-05-25,,1,13005155CF10A,(F3),2013-04-10,Battery on a Person Over 65,Risk of Recidivism,8,High,2013-02-08,Risk of Violence,4,Low,2013-02-08,2013-04-10,2013-05-25,0,0,61,1,1 +803,kelvin jones,kelvin,jones,2014-01-21,Male,1964-04-07,52,Greater than 45,African-American,0,5,0,0,4,0,2014-01-21 01:50:50,2014-01-22 02:48:22,14002400MU10A,2014-01-21,,0,M,Fail Register Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-21,Risk of Violence,3,Low,2014-01-21,2014-01-21,2014-01-22,4,1,801,0,0 +804,covaney graham,covaney,graham,2014-10-18,Male,1995-06-12,20,Less than 25,African-American,0,4,0,0,0,0,2014-10-18 01:22:59,2014-10-18 08:58:59,14014082CF10A,2014-10-17,,1,F,Possession of Ethylone,1,15006968MM10A,(M1),0,2015-06-08,Resist/Obstruct W/O Violence,2015-06-08,2015-06-09,,0,,,,,Risk of Recidivism,4,Low,2014-10-18,Risk of Violence,6,Medium,2014-10-18,2015-06-08,2015-06-09,0,0,233,1,1 +805,zachary premock,zachary,premock,2014-05-15,Male,1990-11-23,25,25 - 45,Caucasian,0,4,0,0,4,-5,2014-05-10 01:35:17,2014-05-15 10:32:57,14006509CF10A,2014-05-09,,6,F,Possession of Cocaine,1,14077767TC20A,(M2),,2014-11-04,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2014-05-15,Risk of Violence,3,Low,2014-05-15,2014-05-10,2014-05-15,4,0,173,1,1 +806,mckenzie reijonen,mckenzie,reijonen,2013-01-02,Male,1991-07-18,24,Less than 25,Caucasian,0,2,0,0,0,-1,2013-01-01 05:32:16,2013-01-16 06:22:12,13000034CF10A,2013-01-01,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-02,Risk of Violence,3,Low,2013-01-02,2013-01-01,2013-01-16,0,14,1185,0,0 +807,mauro perez,mauro,perez,2013-01-20,Male,1993-03-15,23,Less than 25,Caucasian,0,9,0,0,0,-1,2013-01-19 07:06:05,2013-01-20 12:29:47,13001351MM10A,2013-01-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-20,Risk of Violence,6,Medium,2013-01-20,2016-01-28,2020-01-01,0,0,1103,0,0 +808,andrew thomas,andrew,thomas,2013-10-19,Male,1988-05-02,27,25 - 45,Caucasian,0,4,1,3,6,-1,2013-10-18 01:19:43,2013-10-19 08:00:03,13014603CF10A,2013-10-18,,1,F,Felony Battery (Dom Strang),1,16002005CF10A,(F3),,2016-01-08,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-19,Risk of Violence,3,Low,2013-10-19,2016-01-10,2016-01-11,6,0,811,1,0 +810,donovan sheffield,donovan,sheffield,2014-06-13,Male,1990-12-01,25,25 - 45,African-American,0,3,1,0,1,-1,2014-06-12 12:59:13,2014-06-13 08:53:42,14009329MM10A,2014-06-11,,2,M,Battery,1,15000662MM40A,(M1),,2015-01-23,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2014-06-13,Risk of Violence,3,Low,2014-06-13,2016-03-18,2016-03-19,1,0,224,1,1 +812,antwon hyman,antwon,hyman,2013-08-17,Male,1984-09-04,31,25 - 45,African-American,0,2,0,0,0,-1,2013-08-16 06:01:59,2013-08-16 06:08:13,13011507CF10A,2013-08-16,,1,F,Trespassing/Construction Site,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-17,Risk of Violence,1,Low,2013-08-17,2013-08-16,2013-08-16,0,0,958,0,0 +813,mark singletary,mark,singletary,2014-04-13,Male,1990-12-31,25,25 - 45,African-American,0,4,1,0,6,-1,2014-04-12 01:03:26,2014-04-16 08:49:06,14005145CF10A,,2014-04-11,2,F,arrest case no charge,1,14078804TC20A,(M2),0,2014-11-07,Driving License Suspended,2014-11-07,2014-11-17,,0,,,,,Risk of Recidivism,4,Low,2014-04-13,Risk of Violence,5,Medium,2014-04-13,2014-11-07,2014-11-17,6,3,208,1,1 +814,benjamin levine,benjamin,levine,2014-01-21,Male,1983-06-11,32,25 - 45,Caucasian,0,1,0,0,1,-7,2014-01-14 10:07:59,2014-01-15 01:58:04,14000604CF10A,,2014-01-14,7,F,arrest case no charge,1,15008433MM10A,(M1),0,2015-08-09,Battery,2015-08-09,2015-08-10,,1,15008433MM10A,(M1),2015-08-09,Battery,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,2,Low,2014-01-21,2015-08-09,2015-08-10,1,0,565,1,1 +815,scott johnson,scott,johnson,2014-04-07,Male,1994-05-09,21,Less than 25,Caucasian,0,3,0,0,0,-1,2014-04-06 12:28:23,2014-04-06 02:30:38,14004711CF10A,2014-04-05,,2,F,Grand Theft in the 3rd Degree,1,15018043TC20A,(M2),,2015-01-27,Racing On Highway,,,,0,,,,,Risk of Recidivism,3,Low,2014-04-07,Risk of Violence,5,Medium,2014-04-07,2014-04-06,2014-04-06,0,0,295,1,1 +817,arrantes green,arrantes,green,2013-02-21,Male,1978-05-16,37,25 - 45,Other,0,1,0,0,1,-1,2013-02-20 08:05:01,2013-02-25 09:11:42,13002589CF10A,2013-02-20,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-20,2013-02-25,1,4,1135,0,0 +818,frantz mersier,frantz,mersier,2013-12-08,Male,1990-06-01,25,25 - 45,Caucasian,0,3,0,0,0,0,2013-12-08 01:39:45,2013-12-08 01:45:29,13016946CF10A,2013-12-07,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-08,Risk of Violence,4,Low,2013-12-08,2014-02-12,2014-02-27,0,0,66,0,0 +820,terrance holland,terrance,holland,2013-01-01,Male,1984-01-11,32,25 - 45,Hispanic,1,10,1,0,20,0,2013-01-01 05:08:53,2013-01-02 03:08:56,12017968CF10A,,2013-01-01,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-01,Risk of Violence,7,Medium,2013-01-01,2013-01-01,2013-01-02,20,1,1186,0,0 +821,dorcas willis,dorcas,willis,2013-04-25,Male,1980-08-31,35,25 - 45,African-American,0,7,0,0,0,-1,2013-04-24 07:43:40,2013-04-26 08:46:06,13005883CF10A,2013-04-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,2,Low,2013-04-25,2013-04-24,2013-04-26,0,1,1072,0,0 +823,sammie williams,sammie,williams,2014-02-09,Male,1973-04-26,42,25 - 45,African-American,0,7,0,0,14,-1,2014-02-08 09:03:23,2014-02-10 02:33:36,14001806CF10A,2014-02-08,,1,F,Drivg While Lic Suspd/Revk/Can,1,14004051CF10A,(F3),0,2014-03-22,Driving While License Revoked,2014-03-22,2014-05-29,,0,,,,,Risk of Recidivism,7,Medium,2014-02-09,Risk of Violence,6,Medium,2014-02-09,2014-03-22,2014-05-29,14,1,41,1,1 +825,alexander marino,alexander,marino,2013-09-09,Male,1991-07-20,24,Less than 25,Caucasian,0,10,0,1,9,-23,2013-08-17 01:46:04,2013-08-27 03:55:32,13015605MM10A,2013-08-17,,23,M,Viol Injunct Domestic Violence,1,13014469CF10A,(F3),0,2013-10-16,Possession Burglary Tools,2013-10-16,2014-10-06,,1,16002201CF10A,(F2),2016-02-19,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2013-09-09,Risk of Violence,8,High,2013-09-09,2013-10-16,2014-10-06,9,0,37,1,1 +829,jordan torres,jordan,torres,2014-07-15,Male,1993-05-15,22,Less than 25,Caucasian,1,10,0,4,6,168,2014-12-30 03:25:32,2015-03-02 11:38:08,13015457CF10A,2013-11-06,,251,F,Possession of Cocaine,1,14097534TC30A,(M2),32,2014-11-28,Susp Drivers Lic 1st Offense,2014-12-30,2015-03-02,,0,,,,,Risk of Recidivism,10,High,2014-07-15,Risk of Violence,10,High,2014-07-15,2014-12-30,2015-03-02,6,0,136,1,1 +830,justin gomez,justin,gomez,2013-08-24,Male,1994-11-24,21,Less than 25,Hispanic,0,6,0,0,0,-1,2013-08-23 09:06:45,2013-08-24 08:56:18,13011897CF10A,2013-08-23,,1,F,Grand Theft in the 3rd Degree,1,14000125MM20A,(M2),153,2013-12-18,Petit Theft,2014-05-20,2014-05-22,,0,,,,,Risk of Recidivism,6,Medium,2013-08-24,Risk of Violence,9,High,2013-08-24,2014-08-01,2015-03-03,0,0,116,1,1 +831,malcolm austin,malcolm,austin,2013-03-20,Male,1968-10-11,47,Greater than 45,Caucasian,0,1,0,0,1,0,2013-03-20 02:25:51,2013-03-20 07:51:16,13005458MM10A,2013-03-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-20,2013-03-20,1,0,1108,0,0 +835,denzil woodcock,denzil,woodcock,2014-03-21,Male,1988-12-15,27,25 - 45,African-American,0,9,0,0,5,-1,2014-03-20 02:19:43,2014-03-21 07:57:16,14003953CF10A,2014-03-20,,1,F,Aggrav Battery w/Deadly Weapon,1,15021096TC10A,(M2),0,2015-07-18,Operating W/O Valid License,2015-07-18,2015-07-18,,0,,,,,Risk of Recidivism,9,High,2014-03-21,Risk of Violence,7,Medium,2014-03-21,2015-07-18,2015-07-18,5,0,484,0,1 +836,milton martin,milton,martin,2014-10-15,Male,1972-12-12,43,25 - 45,Hispanic,0,1,0,0,2,-12,2014-10-03 04:35:53,2014-10-07 09:34:35,14035950MU10A,2014-10-03,,12,M,DUI Level 0.15 Or Minor In Veh,1,14074516TC20A,(M2),228,2014-10-16,Susp Drivers Lic 1st Offense,2015-06-01,2015-06-05,,0,,,,,Risk of Recidivism,1,Low,2014-10-15,Risk of Violence,1,Low,2014-10-15,2015-06-01,2015-06-05,2,0,1,1,1 +837,dean lietzau,dean,lietzau,2013-11-17,Male,1969-06-10,46,Greater than 45,Caucasian,0,6,0,0,2,-1,2013-11-16 09:37:06,2013-11-17 08:25:25,13015937CF10A,2013-11-16,,1,F,Possession Of Alprazolam,1,14003780MM40A,(M1),143,2014-08-23,Petit Theft $100- $300,2015-01-13,2015-01-13,,0,,,,,Risk of Recidivism,6,Medium,2013-11-17,Risk of Violence,1,Low,2013-11-17,2015-10-01,2015-10-02,2,0,279,1,1 +838,derrick goodley,derrick,goodley,2013-01-29,Male,1971-11-14,44,25 - 45,African-American,0,3,0,0,1,0,2013-01-29 06:36:33,2013-01-29 08:34:07,13002096MM10A,2013-01-29,,0,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-29,2013-01-29,1,0,1158,0,0 +840,rafael rivera,rafael,rivera,2013-04-17,Male,1988-07-05,27,25 - 45,African-American,0,5,0,0,0,,,,13005535CF10A,2013-04-16,,1,F,Consp Traff Oxycodone 28g><30k,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-17,Risk of Violence,5,Medium,2013-04-17,,,0,0,1080,0,0 +841,cesar pedraza,cesar,pedraza,2013-12-13,Male,1993-03-25,23,Less than 25,Caucasian,0,2,0,0,2,-1,2013-12-12 11:10:00,2013-12-13 08:47:02,13017191CF10A,2013-12-12,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-13,Risk of Violence,3,Low,2013-12-13,2013-12-12,2013-12-13,2,0,840,0,0 +842,ana cuba,ana,cuba,2013-02-13,Female,1965-12-30,50,Greater than 45,Hispanic,0,1,0,0,1,,,,12002463CF10A,2009-07-04,,1320,F,Unemployment Compensatn Fraud,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,,,1,0,1143,0,0 +843,richard harding,richard,harding,2013-10-03,Male,1973-09-28,42,25 - 45,African-American,0,5,0,0,8,-1,2013-10-02 10:41:22,2013-10-04 05:24:16,13007224CF10A,,2013-10-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-03,Risk of Violence,2,Low,2013-10-03,2013-10-02,2013-10-04,8,1,911,0,0 +844,benjamin feast,benjamin,feast,2013-05-22,Male,1957-10-13,58,Greater than 45,African-American,0,6,0,0,6,-1,2013-05-21 03:25:30,2013-10-12 05:17:10,13007238CF10A,2013-05-21,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-22,Risk of Violence,3,Low,2013-05-22,2014-10-15,2014-12-12,6,143,511,0,0 +847,steven nettleford,steven,nettleford,2013-01-25,Male,1990-02-13,26,25 - 45,African-American,0,6,0,1,3,-1,2013-01-24 09:05:00,2013-01-26 04:55:47,13001179CF10A,2013-01-24,,1,F,Grand Theft (Motor Vehicle),1,15008815CF10A,(F3),0,2015-07-09,Poss Pyrrolidinovalerophenone,2015-07-09,2015-10-18,,0,,,,,Risk of Recidivism,6,Medium,2013-01-25,Risk of Violence,4,Low,2013-01-25,2015-07-09,2015-10-18,3,1,895,1,0 +848,eva downs,eva,downs,2013-02-04,Female,1968-02-07,48,Greater than 45,Other,0,1,0,0,0,-1,2013-02-03 10:36:16,2013-02-20 12:12:55,13001821CF10A,2013-02-03,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-03,2013-02-20,0,16,1152,0,0 +849,abdul leiba,abdul,leiba,2013-10-30,Male,1976-09-11,39,25 - 45,African-American,0,3,0,0,3,-1,2013-10-29 05:34:04,2013-11-01 05:49:33,13015098CF10A,2013-10-29,,1,F,Grand Theft in the 3rd Degree,1,14007250CF10A,(M2),0,2014-05-24,Susp Drivers Lic 1st Offense,2014-05-24,2014-05-26,,0,,,,,Risk of Recidivism,3,Low,2013-10-30,Risk of Violence,2,Low,2013-10-30,2014-05-24,2014-05-26,3,2,206,1,1 +850,deandre miller,deandre,miller,2013-05-15,Male,1995-03-26,21,Less than 25,African-American,0,5,2,0,3,0,2013-05-15 12:34:33,2013-05-15 07:01:43,13006891CF10A,,2013-05-14,1,F,arrest case no charge,1,14010145CF10A,(F3),0,2014-07-25,Grand Theft in the 3rd Degree,2014-07-25,2014-09-04,,1,15008351CF10A,(F2),2015-06-29,Robbery / No Weapon,Risk of Recidivism,5,Medium,2013-05-15,Risk of Violence,6,Medium,2013-05-15,2014-07-25,2014-09-04,3,0,436,1,1 +851,keith antolick,keith,antolick,2014-01-31,Male,1952-06-19,63,Greater than 45,Caucasian,0,1,0,0,1,-9,2014-01-22 10:01:17,2014-01-28 03:54:00,14002640MU10A,2014-01-22,,9,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2014-01-22,2014-01-28,1,0,791,0,0 +852,tyrone carter,tyrone,carter,2013-11-18,Male,1993-11-05,22,Less than 25,African-American,0,7,1,0,3,-11,2013-11-07 10:41:34,2013-11-15 08:48:23,12016330CF10A,,2013-11-07,11,F,arrest case no charge,1,15005819CF10A,(F3),,2015-05-04,Burglary Conveyance Unoccup,,,,1,15006218CF10A,(F3),2015-05-11,Felony Battery (Dom Strang),Risk of Recidivism,7,Medium,2013-11-18,Risk of Violence,7,Medium,2013-11-18,2013-11-07,2013-11-15,3,0,532,1,1 +853,david schultz,david,schultz,2013-02-03,Male,1965-09-25,50,Greater than 45,African-American,0,3,0,0,3,-1,2013-02-02 09:08:31,2013-02-03 06:57:55,13002401MM10A,2013-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-03,Risk of Violence,2,Low,2013-02-03,2013-02-02,2013-02-03,3,0,1153,0,0 +855,geoffrey salesman,geoffrey,salesman,2013-05-27,Male,1977-07-18,38,25 - 45,African-American,0,1,0,0,0,-1,2013-05-26 10:41:56,2013-06-05 09:47:42,13007530CF10A,2013-05-26,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-26,2013-06-05,0,9,1040,0,0 +856,osvaldo pereyra,osvaldo,pereyra,2013-10-22,Male,1974-06-23,41,25 - 45,Caucasian,0,6,0,0,1,-6,2013-10-16 03:27:50,2013-10-22 10:32:34,13014495CF10A,2013-10-15,,7,F,Sexual Battery / Vict 12 Yrs +,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-22,Risk of Violence,4,Low,2013-10-22,2013-11-27,2013-12-02,1,0,36,0,0 +857,travis holmes,travis,holmes,2014-02-25,Male,1987-12-07,28,25 - 45,African-American,8,8,0,1,16,-1,2014-02-24 04:17:37,2014-02-25 08:09:24,14002607CF10A,2014-02-24,,1,F,Aggravated Battery / Pregnant,1,15005982CF10A,(M1),0,2015-05-07,Possess Cannabis/20 Grams Or Less,2015-05-07,2015-06-01,,1,15008803CF10A,(F2),2015-06-30,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2014-02-25,Risk of Violence,9,High,2014-02-25,2015-05-07,2015-06-01,16,0,436,1,1 +858,shakennea baker,shakennea,baker,2013-11-06,Female,1985-12-07,30,25 - 45,African-American,0,3,0,0,0,0,2013-11-06 03:13:16,2013-11-07 09:03:30,13020963MM10A,2013-11-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-06,Risk of Violence,3,Low,2013-11-06,2013-11-06,2013-11-07,0,1,877,0,0 +859,rionne holloman,rionne,holloman,2013-04-24,Male,1993-01-28,23,Less than 25,African-American,0,5,0,0,1,0,2013-04-24 02:27:23,2013-04-24 08:08:08,13005889CF10A,2013-04-23,,1,F,Agg Fleeing and Eluding,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-24,Risk of Violence,7,Medium,2013-04-24,2014-02-20,2014-03-28,1,0,302,0,0 +861,jared wanger,jared,wanger,2014-01-23,Male,1990-05-22,25,25 - 45,Caucasian,0,4,0,0,2,-13,2014-01-10 03:47:24,2014-01-22 08:41:17,13010449CF10A,,2014-01-10,13,F,arrest case no charge,1,14010024CF10A,(F3),1,2014-07-22,Grand Theft in the 3rd Degree,2014-07-23,2014-08-27,,0,,,,,Risk of Recidivism,4,Low,2014-01-23,Risk of Violence,3,Low,2014-01-23,2015-06-19,2015-06-30,2,0,180,1,1 +863,christopher metcalf,christopher,metcalf,2013-09-15,Male,1976-03-12,40,25 - 45,Caucasian,0,4,0,0,5,0,2013-09-15 03:23:56,2013-09-15 07:27:18,13013025CF10A,2013-09-14,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-15,Risk of Violence,1,Low,2013-09-15,2015-10-07,2015-10-16,5,0,752,0,0 +864,frank carvalho,frank,carvalho,2013-04-25,Male,1991-05-25,24,Less than 25,Hispanic,0,8,0,0,8,0,2013-04-25 02:04:02,2013-04-25 01:19:35,13005907CF10A,2013-04-25,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-25,Risk of Violence,4,Low,2013-04-25,2013-04-25,2013-04-25,8,0,1072,0,0 +867,timothy garner,timothy,garner,2013-12-22,Male,1988-12-27,27,25 - 45,African-American,0,4,0,0,5,0,2013-12-22 05:35:31,2014-02-24 08:43:57,13023566MM10A,2013-12-22,,0,M,Criminal Mischief Damage <$200,1,14073493TC40A,(M2),114,2014-10-28,Operating W/O Valid License,2015-02-19,2015-03-10,,0,,,,,Risk of Recidivism,4,Low,2013-12-22,Risk of Violence,9,High,2013-12-22,2013-12-22,2014-02-24,5,64,310,1,1 +869,mark rawiszer,mark,rawiszer,2013-09-07,Male,1971-09-03,44,25 - 45,Caucasian,0,3,0,0,11,0,2013-09-07 03:37:40,2014-03-06 10:26:26,13017051MM10A,2013-09-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-07,Risk of Violence,6,Medium,2013-09-07,2013-09-07,2014-03-06,11,180,937,0,0 +870,tanares russ,tanares,russ,2013-10-30,Female,1980-11-13,35,25 - 45,African-American,0,2,0,0,6,-1,2013-10-29 02:27:04,2013-10-30 08:32:44,13015117CF10A,,2013-10-29,1,F,arrest case no charge,1,15005910MM10A,(M1),1,2015-05-29,Battery,2015-05-30,2015-07-17,,1,15005910MM10A,(M1),2015-05-29,Battery,Risk of Recidivism,2,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2015-05-30,2015-07-17,6,0,576,1,1 +871,attique mohammad,attique,mohammad,2013-02-06,Male,1973-12-25,42,25 - 45,Caucasian,0,1,0,0,0,0,2013-02-06 02:27:50,2013-02-06 07:49:59,13002721MM10A,2013-02-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-06,Risk of Violence,1,Low,2013-02-06,2013-02-06,2013-02-06,0,0,1150,0,0 +872,anthony deary,anthony,deary,2014-01-24,Male,1978-03-17,38,25 - 45,African-American,0,7,0,0,15,0,2014-01-24 04:04:57,2014-01-24 09:37:14,14001075CF10A,2014-01-23,,1,F,Drivg While Lic Suspd/Revk/Can,1,16014195TC30A,(M2),,2016-03-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-24,Risk of Violence,5,Medium,2014-01-24,2014-01-24,2014-01-24,15,0,770,1,0 +874,jorge fernandez,jorge,fernandez,2013-03-06,Male,1990-01-23,26,25 - 45,Hispanic,0,6,0,0,4,0,2013-03-06 12:02:54,2013-03-06 09:47:10,13003284CF10A,2013-03-05,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-06,Risk of Violence,6,Medium,2013-03-06,2013-03-06,2013-03-06,4,0,1122,0,0 +875,brittany funchess,brittany,funchess,2013-05-28,Female,1990-05-30,25,25 - 45,African-American,0,3,0,0,0,-1,2013-05-27 09:36:52,2013-05-28 09:04:37,13010161MM10A,2013-05-27,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-28,Risk of Violence,3,Low,2013-05-28,2013-05-27,2013-05-28,0,0,1039,0,0 +879,alfonso starling,alfonso,starling,2013-05-17,Male,1992-01-19,24,Less than 25,Caucasian,0,4,0,0,1,,,,12011759CF10A,,2012-08-10,280,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-17,Risk of Violence,6,Medium,2013-05-17,,,1,0,1050,0,0 +880,victor lozada,victor,lozada,2013-08-13,Male,1951-05-12,64,Greater than 45,Hispanic,0,1,0,0,1,-8,2013-08-05 12:41:27,2013-08-13 02:27:19,13010831CF10A,2013-08-04,,9,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2013-08-05,2013-08-13,1,0,962,0,0 +881,lawrence derubeis,lawrence,derubeis,2014-01-21,Female,1966-05-22,49,Greater than 45,Caucasian,0,1,0,0,2,0,2014-01-21 03:14:16,2014-01-21 07:59:17,14002500MU10A,2014-01-21,,0,M,Driving Under The Influence,1,14027296TC10A,(M2),0,2014-07-25,Driving License Suspended,2014-07-25,2014-07-26,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-06-08,2014-06-09,2,0,138,0,1 +882,david hall,david,hall,2014-12-15,Male,1965-07-14,50,Greater than 45,Caucasian,0,1,0,0,5,-1,2014-12-14 04:50:01,2014-12-15 06:38:00,15002028CF10A,2014-12-14,,1,F,Driving While License Revoked,1,14016894CF10A,(M2),0,2014-12-21,Unlaw LicTag/Sticker Attach,2014-12-21,2015-01-16,,0,,,,,Risk of Recidivism,1,Low,2014-12-15,Risk of Violence,1,Low,2014-12-15,2014-12-21,2015-01-16,5,0,6,1,1 +883,ryan bergeron,ryan,bergeron,2014-04-01,Male,1988-04-07,28,25 - 45,Caucasian,0,6,0,0,8,162,2014-09-10 05:48:28,2014-10-11 05:18:30,13014781CF10A,,2013-10-22,161,F,arrest case no charge,1,15011994CF10A,(F3),,2015-09-15,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,6,Medium,2014-04-01,Risk of Violence,8,High,2014-04-01,2014-09-10,2014-10-11,8,0,162,0,1 +884,benny evans,benny,evans,2013-08-14,Male,1949-12-19,66,Greater than 45,Caucasian,0,1,0,0,0,0,2013-08-14 05:00:03,2013-08-15 04:51:13,13015395MM10A,2013-08-14,,0,M,Battery,1,15045735TC40A,(M2),,2015-08-01,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-14,Risk of Violence,1,Low,2013-08-14,2013-08-14,2013-08-15,0,1,717,1,1 +886,adriana valencia,adriana,valencia,2013-08-21,Female,1969-08-29,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-20 09:12:14,2013-08-21 09:19:20,13015855MM10A,2013-08-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-21,Risk of Violence,1,Low,2013-08-21,2013-08-20,2013-08-21,0,0,954,0,0 +887,courtney louis,courtney,louis,2013-03-04,Male,1985-05-11,30,25 - 45,African-American,0,6,0,1,5,-1,2013-03-03 06:23:59,2013-03-04 08:33:50,13003196CF10A,2013-03-03,,1,F,Driving While License Revoked,1,13011913CF10A,(F3),0,2013-08-23,Unauth C/P/S Sounds>1000/Audio,2013-08-23,2013-08-24,,1,14009967MM10A,(M1),2014-06-26,Battery,Risk of Recidivism,6,Medium,2013-03-04,Risk of Violence,6,Medium,2013-03-04,2013-08-23,2013-08-24,5,0,172,1,1 +888,pamela delgado,pamela,delgado,2014-01-22,Female,1993-11-01,22,Less than 25,Caucasian,0,3,0,0,0,0,2014-01-22 12:55:30,2014-01-22 09:20:36,14001125MM10A,2014-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-22,Risk of Violence,4,Low,2014-01-22,2014-01-22,2014-01-22,0,0,800,0,0 +889,clevor kiffin,clevor,kiffin,2013-03-24,Male,1993-04-06,23,Less than 25,Caucasian,0,4,0,0,1,-1,2013-03-23 10:06:43,2013-04-02 09:22:16,13013358TC10A,,2013-03-23,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-24,Risk of Violence,6,Medium,2013-03-24,2016-02-06,2016-02-07,1,9,1049,0,0 +890,donovan newbold,donovan,newbold,2013-12-07,Male,1985-11-26,30,25 - 45,Other,0,6,0,0,0,-1,2013-12-06 07:17:34,2013-12-07 07:42:09,13022646MM10A,2013-12-06,,1,M,Battery,1,14039702TC40A,(M2),,2014-06-07,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-07,Risk of Violence,5,Medium,2013-12-07,2015-10-05,2015-10-16,0,0,182,1,1 +891,rashad adams,rashad,adams,2014-11-28,Male,1991-06-21,24,Less than 25,African-American,1,10,0,0,10,75,2015-02-11 07:10:51,2015-02-28 12:17:14,14015066CF10A,,2014-11-28,0,F,arrest case no charge,1,15001970CF10A,(F3),0,2015-02-11,Poss Pyrrolidinovalerophenone,2015-02-11,2015-02-28,,0,,,,,Risk of Recidivism,10,High,2014-11-28,Risk of Violence,5,Medium,2014-11-28,2015-02-11,2015-02-28,10,0,75,1,1 +893,donnie aguilar,donnie,aguilar,2013-02-25,Male,1985-01-19,31,25 - 45,Hispanic,0,1,0,0,0,-1,2013-02-24 12:26:26,2013-02-25 01:51:33,13003813MM10A,2013-02-23,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,2013-02-24,2013-02-25,0,0,1131,0,0 +895,patrick cezaire,patrick,cezaire,2013-05-01,Male,1985-03-15,31,25 - 45,Other,0,2,0,0,1,-1,2013-04-30 07:18:35,2013-05-01 03:47:37,13006119CF10A,,2013-04-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2014-12-30,2014-12-31,1,0,608,0,0 +897,sequan turner,sequan,turner,2013-02-26,Male,1995-01-13,21,Less than 25,African-American,4,7,0,0,4,622,2014-11-10 05:41:58,2015-03-08 04:08:32,12017851CF10A,,2012-12-20,68,F,arrest case no charge,1,14016144MM10A,(M2),0,2014-11-10,Petit Theft,2014-11-10,2015-03-08,,0,,,,,Risk of Recidivism,7,Medium,2013-02-26,Risk of Violence,8,High,2013-02-26,2014-11-10,2015-03-08,4,0,622,1,1 +898,antvonte sanders,antvonte,sanders,2013-03-07,Male,1988-02-25,28,25 - 45,African-American,0,8,0,0,4,747,2015-03-24 07:19:51,2015-05-15 10:51:34,12002361CF10A,,2012-03-06,366,F,arrest case no charge,1,15003939CF10A,(F3),0,2015-03-24,Tampering With Physical Evidence,2015-03-24,2015-05-15,,0,,,,,Risk of Recidivism,8,High,2013-03-07,Risk of Violence,7,Medium,2013-03-07,2015-03-24,2015-05-15,4,0,747,1,0 +899,stephen parra,stephen,parra,2013-03-17,Male,1991-04-08,25,25 - 45,African-American,0,3,0,0,0,-1,2013-03-16 09:16:46,2013-03-17 02:17:18,13005181MM10A,2013-03-16,,1,M,Disorderly Conduct,1,15011037CF10A,(F3),0,2015-08-26,False Imprisonment,2015-08-26,2015-08-29,,1,15011037CF10A,(M1),2015-08-26,Battery,Risk of Recidivism,3,Low,2013-03-17,Risk of Violence,4,Low,2013-03-17,2015-08-26,2015-08-29,0,0,892,1,0 +900,aaliyah lovo,aaliyah,lovo,2013-11-04,Female,1994-11-10,21,Less than 25,Caucasian,0,7,0,0,0,-1,2013-11-03 01:54:43,2013-11-05 05:54:27,13015312CF10A,2013-11-03,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-04,Risk of Violence,5,Medium,2013-11-04,2013-11-03,2013-11-05,0,1,879,0,0 +901,odean lawrence,odean,lawrence,2013-01-13,Male,1988-07-18,27,25 - 45,African-American,0,2,0,0,0,-1,2013-01-12 04:24:36,2013-01-13 12:41:13,13000749MM10A,2013-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-13,Risk of Violence,3,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0 +904,jean rodriguez,jean,rodriguez,2014-05-24,Male,1995-12-13,20,Less than 25,Hispanic,0,2,0,0,0,-1,2014-05-23 07:42:01,2014-05-24 08:43:14,14008346MM10A,2014-05-23,,1,M,Possess Cannabis/20 Grams Or Less,1,14017412MM10A,(M2),0,2014-12-10,Petit Theft,2014-12-10,2014-12-11,,0,,,,,Risk of Recidivism,2,Low,2014-05-24,Risk of Violence,5,Medium,2014-05-24,2014-12-10,2014-12-11,0,0,200,1,1 +905,luis mora,luis,mora,2013-07-23,Male,1983-05-16,32,25 - 45,Hispanic,0,1,0,0,1,-27,2013-06-26 07:47:32,2013-06-26 08:09:02,13008994CF10A,2013-06-26,,27,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-23,Risk of Violence,1,Low,2013-07-23,2013-06-26,2013-06-26,1,0,983,0,0 +906,megan mcnulty,megan,mcnulty,2013-09-22,Female,1991-07-28,24,Less than 25,Caucasian,0,5,0,1,0,0,2013-09-22 05:21:34,2013-09-23 02:00:15,13013345CF10A,2013-09-22,,0,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-22,Risk of Violence,5,Medium,2013-09-22,2013-09-22,2013-09-23,0,1,922,0,0 +909,mellick jackson,mellick,jackson,2014-01-29,Male,1996-04-11,20,Less than 25,African-American,1,3,0,0,1,-1,2014-01-28 12:49:23,2014-01-29 10:42:36,14000687CF10A,,2014-01-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-29,Risk of Violence,6,Medium,2014-01-29,2014-01-28,2014-01-29,1,0,793,0,0 +913,bertram cooper,bertram,cooper,2013-07-12,Male,1985-01-13,31,25 - 45,African-American,0,8,0,0,3,-20,2013-06-22 07:50:45,2013-07-12 05:35:03,13011983MM10A,2013-06-22,,20,M,Viol Pretrial Release Dom Viol,1,15004547MM10A,(M1),0,2015-04-16,Resist/Obstruct W/O Violence,2015-04-16,2015-04-17,,0,,,,,Risk of Recidivism,8,High,2013-07-12,Risk of Violence,3,Low,2013-07-12,2015-04-16,2015-04-17,3,0,643,1,1 +914,dwayne donaldson,dwayne,donaldson,2014-12-02,Male,1988-08-02,27,25 - 45,African-American,0,7,0,0,3,-1,2014-12-01 03:21:53,2014-12-07 04:35:04,14016999MM10A,2014-12-01,,1,M,Battery,1,15007366CF10A,(F3),0,2015-06-06,Aggravated Assault w/Firearm,2015-06-06,2015-06-07,,1,15007366CF10A,(F3),2015-06-06,Aggravated Assault w/Firearm,Risk of Recidivism,7,Medium,2014-12-02,Risk of Violence,8,High,2014-12-02,2015-06-06,2015-06-07,3,5,186,1,1 +915,ricardo daley,ricardo,daley,2013-10-08,Male,1956-11-12,59,Greater than 45,African-American,0,5,0,0,17,-65,2013-08-04 05:51:30,2013-10-01 10:35:06,13010841CF10A,2013-08-04,,65,F,Grand Theft in the 3rd Degree,1,14001373MM20A,(M1),72,2014-03-16,Possess Drug Paraphernalia,2014-05-27,2014-06-24,,0,,,,,Risk of Recidivism,5,Medium,2013-10-08,Risk of Violence,2,Low,2013-10-08,2014-05-27,2014-06-24,17,0,159,1,1 +916,johhnie scott,johhnie,scott,2013-01-18,Male,1975-06-13,40,25 - 45,African-American,0,2,0,0,0,-1,2013-01-17 05:59:00,2013-01-18 08:48:30,13000829CF10A,2013-01-17,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-17,2013-01-18,0,0,1169,0,0 +917,marcus gibbons,marcus,gibbons,2014-12-10,Male,1993-08-17,22,Less than 25,African-American,0,10,0,0,11,0,2014-12-10 01:21:36,2014-12-10 01:26:52,14016372CF10A,2014-12-09,,1,F,Possession of Cocaine,1,15001136CF10A,(F3),0,2015-01-25,Poss Pyrrolidinovalerophenone,2015-01-25,2015-02-28,,1,16001348MM10A,(M1),2016-02-10,Battery,Risk of Recidivism,10,High,2014-12-10,Risk of Violence,8,High,2014-12-10,2015-01-09,2015-01-10,11,0,30,0,1 +918,vernee mckenzie,vernee,mckenzie,2013-04-16,Female,1977-09-25,38,25 - 45,African-American,0,1,0,0,1,-1,2013-04-15 11:18:52,2013-04-16 09:12:28,13005448CF10A,2013-04-15,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-16,Risk of Violence,1,Low,2013-04-16,2013-04-15,2013-04-16,1,0,1081,0,0 +919,jeffrey malletgonzales,jeffrey,malletgonzales,2014-12-11,Male,1979-11-12,36,25 - 45,Hispanic,0,10,0,0,1,-8,2014-12-03 12:46:36,2015-01-12 09:14:40,14013084MM10A,2014-09-01,,101,M,Petit Theft $100- $300,1,15013906CF10A,(F3),0,2015-10-25,Grand Theft in the 3rd Degree,2015-10-25,2015-12-23,,0,,,,,Risk of Recidivism,10,High,2014-12-11,Risk of Violence,9,High,2014-12-11,2015-10-25,2015-12-23,1,32,318,1,1 +921,steve mitchell,steve,mitchell,2013-03-04,Male,1985-11-11,30,25 - 45,African-American,0,7,0,0,1,0,2013-03-04 03:53:19,2013-03-05 01:59:42,13004414MM10A,2013-03-04,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-04,Risk of Violence,4,Low,2013-03-04,2013-04-29,2013-05-09,1,1,56,0,0 +922,robert golden,robert,golden,2014-05-15,Male,1988-08-12,27,25 - 45,Caucasian,0,6,0,0,6,-1,2014-05-14 02:14:46,2014-06-17 10:56:58,14006740CF10A,,2014-05-14,1,F,arrest case no charge,1,16000579CF10A,(F2),,2016-01-10,Threaten Throw Destruct Device,,,,1,16000579CF10A,(F2),2016-01-10,Threaten Throw Destruct Device,Risk of Recidivism,6,Medium,2014-05-15,Risk of Violence,4,Low,2014-05-15,2015-07-13,2015-07-14,6,33,424,0,1 +923,edmond shield,edmond,shield,2013-11-06,Male,1972-09-04,43,25 - 45,African-American,0,1,0,0,1,,,,13020969MM10A,2013-11-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-06,Risk of Violence,1,Low,2013-11-06,,,1,0,877,0,0 +924,cindy lambke,cindy,lambke,2013-10-09,Female,1956-05-13,59,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-09 03:00:19,2013-10-09 08:12:28,13019210MM10A,2013-10-08,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-09,Risk of Violence,1,Low,2013-10-09,2013-10-09,2013-10-09,0,0,905,0,0 +925,kevin parker,kevin,parker,2013-04-18,Male,1979-01-24,37,25 - 45,Caucasian,0,1,0,0,2,-2,2013-04-16 05:14:39,2013-04-17 05:35:24,13007381MM10A,2013-04-16,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-04-16,2013-04-17,2,0,1079,0,0 +926,antoine williams,antoine,williams,2014-08-25,Male,1988-04-13,28,25 - 45,African-American,0,7,0,0,5,0,2014-08-25 02:53:15,2014-08-26 05:00:56,14011579CF10A,2014-08-25,,0,M,Felony Battery (Dom Strang),1,14081815TC30A,(M2),,2014-09-27,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2014-08-25,Risk of Violence,7,Medium,2014-08-25,2014-08-25,2014-08-26,5,1,33,1,1 +927,remo bosi-godomar,remo,bosi-godomar,2013-09-06,Male,1977-11-06,38,25 - 45,Caucasian,0,1,0,0,0,0,2013-09-06 01:28:27,2013-09-06 10:50:40,13012553CF10A,2013-09-06,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-06,2013-09-06,0,0,938,0,0 +930,jeremiah durandisse,jeremiah,durandisse,2014-07-26,Male,1994-04-11,22,Less than 25,African-American,0,8,0,1,0,-1,2014-07-25 12:06:14,2014-07-26 08:38:15,14010162CF10A,2014-07-25,,1,F,Att Burgl Unoccupied Dwel,1,15001242MM40A,(M1),139,2015-03-05,Resist/Obstruct W/O Violence,2015-07-22,2015-07-29,,0,,,,,Risk of Recidivism,8,High,2014-07-26,Risk of Violence,6,Medium,2014-07-26,2016-01-27,2016-03-08,0,0,222,1,1 +932,trinidad ramirez-ramirez,trinidad,ramirez-ramirez,2013-09-16,Male,1972-11-06,43,25 - 45,Hispanic,0,1,0,0,1,-44,2013-08-03 01:01:38,2013-09-13 05:55:40,13014658MM10A,2013-08-03,,44,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-08-03,2013-09-13,1,0,928,0,0 +934,jerald peterson,jerald,peterson,2013-04-09,Male,1990-04-20,25,25 - 45,African-American,0,5,0,0,4,-1,2013-04-08 05:49:48,2013-05-10 05:42:55,13005037CF10A,2013-04-08,,1,F,Grand Theft Firearm,1,13008240CF10A,(M1),1,2013-06-11,Possess Cannabis/20 Grams Or Less,2013-06-12,2013-09-11,,1,13013057CF10A,(F1),2013-09-15,Attempt Murder in the First Degree,Risk of Recidivism,5,Medium,2013-04-09,Risk of Violence,4,Low,2013-04-09,2013-04-08,2013-05-10,4,31,63,1,1 +935,carmelo aquino,carmelo,aquino,2013-12-01,Male,1964-05-31,51,Greater than 45,Caucasian,0,1,0,0,0,0,2013-12-01 12:17:36,2013-12-01 12:33:39,13022352MM10A,2013-11-30,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,2013-12-01,2013-12-01,0,0,852,0,0 +937,johell ullda,johell,ullda,2013-12-25,Male,1986-02-28,30,25 - 45,Hispanic,0,5,0,0,6,,,,13017755CF10A,2013-12-24,,1,F,Possession of Cocaine,1,14009698CF10A,(F3),,2014-07-15,Fleeing Or Attmp Eluding A Leo,,,,1,14009698CF10A,(F2),2014-07-15,Agg Assault Law Enforc Officer,Risk of Recidivism,5,Medium,2013-12-25,Risk of Violence,3,Low,2013-12-25,2014-12-16,2020-01-01,6,0,202,1,1 +943,jarrod indik,jarrod,indik,2013-10-23,Male,1987-02-04,29,25 - 45,Caucasian,0,2,0,0,2,29,2013-11-21 04:46:06,2013-12-16 12:07:03,13012077CF10A,2013-08-27,,57,M,Felony Battery (Dom Strang),1,14013034MM10A,(M1),0,2014-08-31,Trespass/Property/Other Structure,2014-08-31,2014-09-16,,0,,,,,Risk of Recidivism,2,Low,2013-10-23,Risk of Violence,2,Low,2013-10-23,2013-11-21,2013-12-16,2,0,29,0,1 +944,zechariah faulk,zechariah,faulk,2014-01-03,Male,1987-10-11,28,25 - 45,African-American,0,3,0,0,10,0,2014-01-03 04:56:59,2014-01-03 08:00:20,14000141CF10A,2014-01-03,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-03,Risk of Violence,2,Low,2014-01-03,2014-03-13,2014-03-21,10,0,69,0,0 +945,laurence thomas,laurence,thomas,2013-10-18,Male,1990-03-31,26,25 - 45,African-American,0,8,0,0,6,,,,13011582MM10A,2013-05-07,,164,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-18,Risk of Violence,8,High,2013-10-18,,,6,0,896,0,0 +946,sylvester hicks,sylvester,hicks,2013-04-27,Male,1961-04-06,55,Greater than 45,African-American,0,3,0,0,9,0,2013-04-27 11:23:09,2013-05-01 06:19:51,12018015MO10A,,2013-04-27,0,M,arrest case no charge,1,14002424CF10A,(F2),0,2014-02-20,Deliver Cocaine,2014-02-20,2014-02-28,,0,,,,,Risk of Recidivism,3,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2014-02-20,2014-02-28,9,4,299,1,1 +947,lemore noah,lemore,noah,2013-02-24,Female,1992-11-02,23,Less than 25,Caucasian,0,10,0,0,3,-1,2013-02-23 12:49:04,2013-03-01 06:16:35,13002766CF10A,2013-02-23,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-24,Risk of Violence,9,High,2013-02-24,2013-04-03,2013-05-26,3,5,38,0,0 +948,ashliegh batiste,ashliegh,batiste,2013-01-20,Female,1993-04-28,22,Less than 25,African-American,0,5,0,0,0,-1,2013-01-19 11:57:56,2013-01-27 05:20:46,13001334MO10A,2013-01-19,,1,M,Failure To Pay Taxi Cab Charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-20,Risk of Violence,6,Medium,2013-01-20,2013-01-19,2013-01-27,0,7,1167,0,0 +949,danielle malin,danielle,malin,2014-10-25,Female,1996-05-08,19,Less than 25,Caucasian,0,10,0,0,2,-2,2014-10-23 05:11:45,2014-11-14 11:47:41,14014288CF10A,2014-10-23,,2,F,Possession of Cocaine,1,14015607CF10A,(F3),0,2014-11-20,Possession of Cocaine,2014-11-20,2015-01-07,,0,,,,,Risk of Recidivism,10,High,2014-10-25,Risk of Violence,7,Medium,2014-10-25,2014-11-20,2015-01-07,2,20,26,1,1 +951,kelos francois,kelos,francois,2013-10-01,Male,1985-02-18,31,25 - 45,African-American,0,1,0,0,1,-27,2013-09-04 12:57:02,2013-09-04 08:28:00,13016878MM10A,2013-09-03,,28,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-09-04,2013-09-04,1,0,913,0,0 +953,curtis coombs,curtis,coombs,2014-03-10,Male,1986-06-11,29,25 - 45,African-American,0,1,0,0,0,0,2014-03-10 03:51:44,2014-03-11 03:42:19,14009450MU10A,2014-03-10,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-10,Risk of Violence,1,Low,2014-03-10,2014-03-10,2014-03-11,0,1,753,0,0 +955,anthony robinson,anthony,robinson,2013-04-08,Male,1954-07-13,61,Greater than 45,African-American,0,6,0,0,15,-1,2013-04-07 03:18:51,2013-04-08 07:34:33,13005014CF10A,2013-04-07,,1,F,Felony Petit Theft,1,13008244CF10A,(F3),0,2013-06-11,Possession of Cocaine,2013-06-11,2013-06-12,,0,,,,,Risk of Recidivism,6,Medium,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-06-11,2013-06-12,15,0,64,1,1 +956,jaron thomas,jaron,thomas,2013-10-09,Male,1991-07-23,24,Less than 25,African-American,0,10,0,0,4,-175,2013-04-17 11:36:33,2013-04-18 05:06:12,13005512CF10A,2013-04-17,,175,F,Possession of Cocaine,1,15000796MM10A,(M1),0,2015-01-21,Viol Injunct Domestic Violence,2015-01-21,2015-01-24,,1,15008227CF10A,(F1),2015-06-25,Robbery / Weapon,Risk of Recidivism,10,High,2013-10-09,Risk of Violence,9,High,2013-10-09,2014-10-14,2014-10-17,4,0,370,0,1 +958,wilfredo alejo-dominguez,wilfredo,alejo-dominguez,2013-02-08,Male,1984-05-18,31,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-08 05:06:56,2013-02-08 08:10:52,13002891MM10A,2013-02-08,,0,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-08,Risk of Violence,2,Low,2013-02-08,2014-08-14,2014-08-19,0,0,552,0,0 +959,alex cadeau,alex,cadeau,2014-10-07,Male,1995-08-02,20,Less than 25,African-American,0,9,1,1,4,-1,2014-10-06 07:50:07,2014-10-08 10:47:24,14013484CF10A,,2014-10-06,1,F,arrest case no charge,1,14015555CF10A,(F3),0,2014-11-18,Grand Theft in the 3rd Degree,2014-11-18,2015-03-07,,0,,,,,Risk of Recidivism,9,High,2014-10-07,Risk of Violence,6,Medium,2014-10-07,2014-11-18,2015-03-07,4,1,42,1,1 +960,darren bartron,darren,bartron,2013-03-22,Male,1989-12-05,26,25 - 45,Caucasian,0,7,0,0,3,-1,2013-03-21 06:34:13,2013-03-22 08:27:54,13004119CF10A,2013-03-21,,1,F,Burglary Conveyance Occupied,1,13130692TC30A,(M2),,2013-12-19,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-22,Risk of Violence,4,Low,2013-03-22,2014-10-30,2014-10-30,3,0,272,1,1 +962,robert rose,robert,rose,2013-08-24,Male,1988-07-24,27,25 - 45,Caucasian,0,9,0,0,5,0,2013-08-24 03:53:34,2013-08-25 08:30:23,13016215MM10A,2013-08-24,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-24,Risk of Violence,7,Medium,2013-08-24,2013-08-24,2013-08-25,5,1,951,0,0 +963,stephanie coello,stephanie,coello,2013-12-25,Male,1990-10-28,25,25 - 45,Caucasian,0,5,0,0,1,-1,2013-12-24 08:20:02,2013-12-25 12:46:17,13017744CF10A,2013-12-24,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-25,Risk of Violence,3,Low,2013-12-25,2013-12-24,2013-12-25,1,0,828,0,0 +964,adiel jaramillo,adiel,jaramillo,2013-04-25,Male,1992-11-23,23,Less than 25,Caucasian,0,5,2,0,3,-1,2013-04-24 08:00:35,2013-05-03 09:45:57,13005980CF10A,2013-04-25,,0,F,Manslaughter W/Weapon/Firearm,1,13011613CF10A,(F3),1,2013-08-19,Possession of Cannabis,2013-08-20,2013-12-03,,0,,,,,Risk of Recidivism,5,Medium,2013-04-25,Risk of Violence,5,Medium,2013-04-25,2013-04-24,2013-05-03,3,8,116,1,1 +965,jackson clerisier,jackson,clerisier,2014-02-06,Male,1977-09-13,38,25 - 45,African-American,0,1,0,0,0,-1,2014-02-05 09:19:16,2014-02-07 09:14:53,14001640CF10A,2014-02-05,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-02-05,2014-02-07,0,1,785,0,0 +967,jarvis jones,jarvis,jones,2013-04-09,Male,1989-03-07,27,25 - 45,African-American,0,9,2,1,18,0,2013-04-09 01:28:20,2013-04-09 07:13:00,13005057CF10A,2013-04-08,,1,F,Felony Petit Theft,1,14007283TC20A,(M2),,2014-01-23,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,9,High,2013-04-09,Risk of Violence,6,Medium,2013-04-09,2013-08-01,2014-01-01,18,0,114,0,1 +968,jessica baron,jessica,baron,2014-09-14,Female,1980-07-15,35,25 - 45,Caucasian,0,3,0,0,0,0,2014-09-14 04:21:37,2014-09-14 01:19:27,14012489CF10A,2014-09-14,,0,F,Resist Officer w/Violence,1,15004121MU10A,(M1),0,2015-02-09,Driving Under The Influence,2015-02-09,2015-02-09,,0,,,,,Risk of Recidivism,3,Low,2014-09-14,Risk of Violence,2,Low,2014-09-14,2015-02-09,2015-02-09,0,0,148,0,1 +969,luc tismeus,luc,tismeus,2013-02-06,Male,1993-09-23,22,Less than 25,Other,0,9,0,0,0,-1,2013-02-05 04:14:37,2013-02-21 05:24:06,13001811CF10A,2013-02-05,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-06,Risk of Violence,7,Medium,2013-02-06,2013-02-05,2013-02-21,0,15,1150,0,0 +971,crystal shellman,crystal,shellman,2014-09-10,Female,1957-06-25,58,Greater than 45,African-American,0,2,0,0,4,-14,2014-08-27 09:14:45,2014-08-28 09:22:51,14011695CF10A,2014-08-27,,14,F,"Poss 3,4 MDMA (Ecstasy)",1,15000238MM30A,(M2),,2015-01-18,Petit Theft,,,,1,15012748CF10A,(M1),2015-10-02,Battery,Risk of Recidivism,2,Low,2014-09-10,Risk of Violence,1,Low,2014-09-10,2016-02-19,2016-02-21,4,0,130,1,1 +973,shelley bauman,shelley,bauman,2014-05-22,Female,1959-03-20,57,Greater than 45,Caucasian,0,4,0,0,0,-1,2014-05-21 11:16:40,2014-05-23 08:33:33,14008221MM10A,2014-05-20,,2,M,Disorderly Conduct,1,15000280MM20A,(M1),,2015-01-11,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2014-05-22,Risk of Violence,1,Low,2014-05-22,2014-05-21,2014-05-23,0,1,234,1,1 +975,jonathan saintil,jonathan,saintil,2014-02-27,Male,1995-02-05,21,Less than 25,African-American,0,3,0,1,0,-1,2014-02-26 09:16:23,2014-02-27 02:05:20,14002730CF10A,2014-02-26,,1,F,Use Scanning Device to Defraud,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-27,Risk of Violence,5,Medium,2014-02-27,2014-02-26,2014-02-27,0,0,764,0,0 +977,katavia latson,katavia,latson,2013-12-05,Female,1994-03-03,22,Less than 25,African-American,0,8,0,0,0,-1,2013-12-04 07:09:34,2013-12-05 09:19:46,13016777CF10A,2013-12-04,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-05,Risk of Violence,6,Medium,2013-12-05,2013-12-04,2013-12-05,0,0,848,0,0 +978,christopher haye,christopher,haye,2013-01-15,Male,1986-02-16,30,25 - 45,African-American,0,2,0,0,0,-1,2013-01-14 07:16:50,2013-01-17 03:17:43,13000619CF10A,2013-01-14,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-15,Risk of Violence,2,Low,2013-01-15,2013-01-14,2013-01-17,0,2,1172,0,0 +979,mcdowell sherwood,mcdowell,sherwood,2014-07-08,Male,1991-06-05,24,Less than 25,Caucasian,0,10,0,0,1,-38,2014-05-31 02:17:45,2014-07-07 10:38:33,14007557CF10A,,2014-07-02,6,F,arrest case no charge,1,16002744MO10A,(M1),0,2016-03-23,,2016-03-23,2016-03-25,,0,,,,,Risk of Recidivism,10,High,2014-07-08,Risk of Violence,9,High,2014-07-08,2014-11-13,2014-12-17,1,0,128,0,1 +983,glenn rowe,glenn,rowe,2013-12-10,Male,1993-10-19,22,Less than 25,Caucasian,0,4,0,0,2,-40,2013-10-31 02:13:50,2013-11-27 08:48:45,13015187CF10A,2013-10-30,,41,F,Battery on Law Enforc Officer,1,14002283CF10A,(M1),0,2014-02-18,Battery,2014-02-18,2014-05-09,,1,14002283CF10A,(M1),2014-02-18,Battery,Risk of Recidivism,4,Low,2013-12-10,Risk of Violence,6,Medium,2013-12-10,2014-02-18,2014-05-09,2,0,70,1,1 +986,joe mori,joe,mori,2014-08-05,Male,1986-12-11,29,25 - 45,Caucasian,0,4,0,0,3,-61,2014-06-05 10:48:36,2014-07-14 09:25:13,14007805CF10A,2014-06-05,,61,F,Aggrav Stalking After Injunctn,1,15064282TC40A,(M2),,2015-11-06,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2014-08-05,Risk of Violence,2,Low,2014-08-05,2015-07-04,2015-07-15,3,0,333,0,1 +987,christopher mack,christopher,mack,2014-02-22,Male,1986-01-09,30,25 - 45,African-American,0,8,0,0,8,-1,2014-02-21 04:43:09,2014-02-23 02:56:07,14002495CF10A,2014-02-21,,1,F,Possession of Cocaine,1,15003293CF10A,(F3),0,2015-03-11,Poss Pyrrolidinovalerophenone,2015-03-11,2015-07-14,,0,,,,,Risk of Recidivism,8,High,2014-02-22,Risk of Violence,3,Low,2014-02-22,2015-03-11,2015-07-14,8,1,382,1,1 +988,sondra murrell,sondra,murrell,2013-04-14,Female,1984-09-01,31,25 - 45,African-American,0,6,0,0,10,-1,2013-04-13 09:58:44,2013-04-14 07:39:41,13005347CF10A,2013-04-13,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-14,Risk of Violence,2,Low,2013-04-14,2013-04-13,2013-04-14,10,0,1083,0,0 +990,brad griffith,brad,griffith,2014-01-09,Female,1970-05-11,45,Greater than 45,Caucasian,0,6,0,0,1,0,2014-01-09 02:26:24,2014-01-10 09:06:22,14000374CF10A,2014-01-09,,0,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-09,Risk of Violence,4,Low,2014-01-09,2014-01-09,2014-01-10,1,1,813,0,0 +991,joseph belgrave,joseph,belgrave,2013-03-07,Male,1992-08-07,23,Less than 25,African-American,0,7,0,0,4,320,2014-01-21 12:54:18,2014-04-21 09:05:53,12005378CF10A,,2012-04-11,330,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-07,Risk of Violence,9,High,2013-03-07,2014-01-21,2014-04-21,4,0,320,0,0 +993,michael probber,michael,probber,2013-07-19,Male,1976-10-31,39,25 - 45,Caucasian,0,2,0,0,2,-13,2013-07-06 08:19:30,2013-07-11 07:30:56,13009469CF10A,2013-07-06,,13,F,False Ownership Info/Pawn Item,1,14003593CF10A,(M2),0,2014-03-13,Susp Drivers Lic 1st Offense,2014-03-13,2014-04-14,,0,,,,,Risk of Recidivism,2,Low,2013-07-19,Risk of Violence,1,Low,2013-07-19,2014-03-13,2014-04-14,2,0,237,1,1 +995,kevis woodard,kevis,woodard,2013-11-23,Male,1984-09-04,31,25 - 45,African-American,0,8,0,0,0,-1,2013-11-22 10:24:27,2013-11-24 01:36:44,13016277CF10A,2013-11-22,,1,F,Possession of Cocaine,1,14008717CF10A,(F3),0,2014-02-19,Deliver Cannabis,2014-02-19,2014-02-22,,0,,,,,Risk of Recidivism,8,High,2013-11-23,Risk of Violence,8,High,2013-11-23,2014-02-19,2014-02-22,0,1,88,1,1 +996,marcel noel,marcel,noel,2014-02-03,Male,1994-01-23,22,Less than 25,African-American,0,4,0,0,1,-1,2014-02-02 05:02:29,2014-02-03 10:30:56,14001472CF10A,2014-02-02,,1,F,Burglary Structure Unoccup,1,15004096CF10A,(F3),0,2015-03-28,Tampering With Physical Evidence,2015-03-28,2015-04-07,,0,,,,,Risk of Recidivism,4,Low,2014-02-03,Risk of Violence,6,Medium,2014-02-03,2015-03-28,2015-04-07,1,0,418,1,1 +997,patrice ward,patrice,ward,2014-05-13,Female,1988-08-31,27,25 - 45,African-American,0,2,0,0,9,-68,2014-03-06 05:04:24,2014-05-10 06:12:24,14003217CF10A,2014-03-06,,68,F,Arson II (Vehicle),1,15000322MM30A,(M2),83,2015-01-23,Reckless Driving,2015-04-16,2015-06-03,,0,,,,,Risk of Recidivism,2,Low,2014-05-13,Risk of Violence,2,Low,2014-05-13,2015-04-16,2015-06-03,9,0,255,1,1 +998,steve louiseron,steve,louiseron,2013-09-05,Male,1988-07-19,27,25 - 45,African-American,0,7,0,0,13,-1,2013-09-04 07:58:16,2013-09-06 09:43:19,13012126CF10A,,2013-09-04,1,F,arrest case no charge,1,13014078CF10A,(F3),0,2013-10-07,Tamper With Victim,2013-10-07,2014-03-29,,1,13014078CF10A,(M1),2013-10-07,Battery,Risk of Recidivism,7,Medium,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-10-07,2014-03-29,13,1,32,1,1 +999,jonathan nevarez,jonathan,nevarez,2014-07-10,Male,1977-07-26,38,25 - 45,Caucasian,0,1,0,0,1,-1,2014-07-09 06:45:49,2014-07-10 01:39:26,14009397CF10A,2014-07-09,,1,F,Crimin Mischief Damage $1000+,1,15004068MM10A,(M1),0,2015-04-08,Battery,2015-04-08,2015-04-10,,1,15004068MM10A,(M1),2015-04-08,Battery,Risk of Recidivism,1,Low,2014-07-10,Risk of Violence,1,Low,2014-07-10,2015-04-08,2015-04-10,1,0,272,1,1 +1000,jeffrey forrest,jeffrey,forrest,2014-11-05,Male,1984-10-05,31,25 - 45,African-American,0,10,0,0,23,0,2014-11-05 04:29:12,2014-12-30 07:51:11,14014858CF10A,2014-11-05,,0,F,Poss Pyrrolidinovalerophenone,1,15000722CF10A,(F3),0,2015-01-16,Poss Pyrrolidinovalerophenone,2015-01-16,2015-02-19,,0,,,,,Risk of Recidivism,10,High,2014-11-05,Risk of Violence,10,High,2014-11-05,2015-01-16,2015-02-19,23,55,72,1,1 +1001,walter samuels,walter,samuels,2014-02-03,Male,1968-09-29,47,Greater than 45,African-American,0,9,0,0,20,-1,2014-02-02 11:48:26,2014-02-04 03:57:20,14001468CF10A,2014-02-02,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-03,Risk of Violence,5,Medium,2014-02-03,2014-02-02,2014-02-04,20,1,788,0,0 +1002,latif blagman,latif,blagman,2013-10-01,Male,1994-04-06,22,Less than 25,African-American,0,7,1,0,3,-1,2013-09-30 09:47:34,2013-10-01 02:07:40,13013094CF10A,,2013-09-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-01,Risk of Violence,7,Medium,2013-10-01,2013-09-30,2013-10-01,3,0,913,0,0 +1003,kendrick raymond,kendrick,raymond,2014-09-04,Male,1980-09-03,35,25 - 45,African-American,0,9,0,1,1,-1,2014-09-03 11:08:09,2014-11-22 04:31:47,11015078MM10A,2011-07-03,,1159,M,Battery,1,15011271CF10A,(F3),,2015-08-27,Felony Battery (Dom Strang),,,,1,15011271CF10A,(F3),2015-08-27,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2014-09-04,Risk of Violence,3,Low,2014-09-04,2015-08-13,2015-10-27,1,79,357,1,1 +1004,elvis tavarez,elvis,tavarez,2013-10-29,Male,1992-10-09,23,Less than 25,Hispanic,0,6,0,0,2,-19,2013-10-10 03:30:06,2013-10-29 10:16:46,13019255MM10A,2013-10-10,,19,M,Possess Cannabis/20 Grams Or Less,1,14011964MM10A,(M1),0,2014-08-07,Possess Cannabis/20 Grams Or Less,2014-08-07,2014-09-18,,0,,,,,Risk of Recidivism,6,Medium,2013-10-29,Risk of Violence,4,Low,2013-10-29,2014-08-07,2014-09-18,2,0,282,1,1 +1005,john brown,john,brown,2014-04-11,Male,1950-09-02,65,Greater than 45,African-American,0,2,0,0,2,-18,2014-03-24 02:29:51,2014-03-29 06:17:09,14016429MM10A,2014-03-24,,18,M,Violation of Injunction Order/Stalking/Cyberstalking,1,15011493CF10A,(F2),1,2015-09-04,Aggrav Battery w/Deadly Weapon,2015-09-05,2015-09-06,,1,15011493CF10A,(F2),2015-09-04,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2014-04-11,Risk of Violence,1,Low,2014-04-11,2015-09-16,2015-10-26,2,0,511,1,1 +1006,jarrett hankerson,jarrett,hankerson,2014-01-19,Male,1980-08-24,35,25 - 45,African-American,0,4,0,0,0,-1,2014-01-18 05:06:51,2014-01-19 09:04:34,14002370MU10A,2014-01-18,,1,M,Fail To Obey Police Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-19,Risk of Violence,3,Low,2014-01-19,2014-01-18,2014-01-19,0,0,803,0,0 +1007,jeniqua johnson,jeniqua,johnson,2013-08-05,Female,1982-10-13,33,25 - 45,African-American,0,3,0,0,0,-1,2013-08-04 07:19:39,2013-08-05 09:38:46,13010833CF10A,2013-08-04,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-05,Risk of Violence,2,Low,2013-08-05,2015-02-07,2015-07-17,0,0,551,0,0 +1008,gregory thornton,gregory,thornton,2013-06-17,Male,1962-12-16,53,Greater than 45,Caucasian,0,1,0,0,1,-10,2013-06-07 03:20:17,2013-06-08 05:43:33,13010982MM10A,2013-06-07,,10,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-17,Risk of Violence,1,Low,2013-06-17,2013-06-07,2013-06-08,1,0,1019,0,0 +1009,rigoberto vasquezlimas,rigoberto,vasquezlimas,2013-11-05,Male,1964-01-19,52,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-11-04 11:09:47,2013-11-06 01:57:40,13015376CF10A,2013-11-04,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-05,Risk of Violence,1,Low,2013-11-05,2013-11-04,2013-11-06,0,1,878,0,0 +1014,nijah mcduffie,nijah,mcduffie,2013-12-12,Male,1995-03-26,21,Less than 25,African-American,0,5,0,0,0,-1,2013-12-11 11:08:04,2013-12-12 08:41:41,13017208CF10A,2013-12-11,,1,F,Obstruct Fire Equipment,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-12,Risk of Violence,7,Medium,2013-12-12,2014-09-10,2014-09-24,0,0,272,0,0 +1015,david washington,david,washington,2014-01-22,Male,1978-10-12,37,25 - 45,African-American,0,4,0,0,11,-1,2014-01-21 07:19:02,2014-01-23 04:03:56,14000875CF10A,2014-01-21,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-22,Risk of Violence,2,Low,2014-01-22,2016-03-02,2016-03-14,11,1,770,0,0 +1016,ryan chambers,ryan,chambers,2013-04-15,Male,1985-08-01,30,25 - 45,Other,0,9,0,0,4,-1,2013-04-14 09:47:43,2013-04-15 07:07:32,13015943TC10A,2013-04-14,,1,M,Reckless Driving,1,13006811CF10A,(F1),0,2013-05-10,Attempt Murder in the First Degree,2013-05-10,2013-05-17,,1,13006811CF10A,(F1),2013-05-10,Attempt Murder in the First Degree,Risk of Recidivism,9,High,2013-04-15,Risk of Violence,8,High,2013-04-15,2013-05-10,2013-05-17,4,0,25,1,1 +1017,rickie miranda,rickie,miranda,2014-01-21,Male,1982-11-06,33,25 - 45,Caucasian,0,5,0,0,5,-32,2013-12-20 04:48:41,2014-01-11 03:03:23,13015561CF10A,,2013-12-20,32,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-21,Risk of Violence,2,Low,2014-01-21,2013-12-20,2014-01-11,5,0,801,0,0 +1018,anthony hansberry,anthony,hansberry,2013-04-10,Male,1984-09-19,31,25 - 45,African-American,0,7,0,0,2,,,,11021360MM10A,2011-09-23,,565,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-10,Risk of Violence,6,Medium,2013-04-10,,,2,0,1087,0,0 +1020,ivor singh,ivor,singh,2014-02-02,Male,1961-07-08,54,Greater than 45,Other,0,1,0,0,0,0,2014-02-02 12:09:29,2014-02-02 07:50:16,14001441CF10A,2014-02-01,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,1,Low,2014-02-02,2014-02-02,2014-02-02,0,0,789,0,0 +1022,albalidia torres,albalidia,torres,2014-01-31,Female,1984-04-23,31,25 - 45,African-American,0,1,0,0,0,0,2014-01-31 01:35:12,2014-01-31 01:27:09,14001682MM10A,2014-01-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2014-01-31,2014-01-31,0,0,791,0,0 +1023,esther catala,esther,catala,2014-02-28,Female,1956-11-30,59,Greater than 45,Caucasian,0,3,0,0,2,26,2014-03-26 09:34:52,2014-04-24 10:32:10,13001158CF10A,2013-01-24,,400,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-28,Risk of Violence,1,Low,2014-02-28,2014-03-26,2014-04-24,2,0,26,0,0 +1024,jamil robinson,jamil,robinson,2013-09-27,Male,1989-01-15,27,25 - 45,African-American,0,2,0,0,0,-1,2013-09-26 05:55:20,2013-09-27 08:21:29,13013539CF10A,2013-09-26,,1,M,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-27,Risk of Violence,2,Low,2013-09-27,2013-09-26,2013-09-27,0,0,917,0,0 +1025,jarvarris brown,jarvarris,brown,2013-10-14,Male,1979-09-11,36,25 - 45,African-American,0,7,0,0,0,-1,2013-10-13 05:56:25,2013-10-14 02:07:16,13019418MM10A,2013-10-13,,1,M,Battery,1,14010849MM10A,(M1),,2014-06-03,Battery,,,,1,14010849MM10A,(M1),2014-06-03,Battery,Risk of Recidivism,7,Medium,2013-10-14,Risk of Violence,2,Low,2013-10-14,2013-10-13,2013-10-14,0,0,232,1,1 +1026,tina brayboy,tina,brayboy,2014-10-02,Male,1969-05-31,46,Greater than 45,African-American,0,9,0,0,17,-1,2014-10-01 04:44:53,2014-10-07 09:01:54,14003461CF10A,,2014-10-01,1,F,arrest case no charge,1,15015545CF10A,(F3),0,2015-12-03,,2015-12-03,2015-12-09,,0,,,,,Risk of Recidivism,9,High,2014-10-02,Risk of Violence,6,Medium,2014-10-02,2015-12-03,2015-12-09,17,5,427,1,1 +1027,walter hart,walter,hart,2013-04-04,Male,1994-01-08,22,Less than 25,African-American,0,9,0,1,3,0,2013-04-04 07:34:43,2014-02-21 10:11:50,13004835CF10A,,2013-04-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-04,Risk of Violence,8,High,2013-04-04,2013-04-04,2014-02-21,3,323,1093,0,0 +1030,melissa harris,melissa,harris,2013-04-26,Female,1987-08-20,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-25 09:33:39,2013-04-26 08:16:52,13008008MM10A,2013-04-25,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,2,Low,2013-04-26,2014-04-25,2014-04-26,0,0,364,0,0 +1031,elizabeth caine,elizabeth,caine,2014-08-14,Female,1981-07-18,34,25 - 45,Caucasian,0,9,0,1,15,-4,2014-08-10 02:26:37,2014-08-13 09:25:56,14010906CF10A,2014-08-09,,5,F,Grand Theft in the 3rd Degree,1,15006136CF10A,(F3),0,2015-05-11,Grand Theft in the 3rd Degree,2015-05-11,2015-08-20,,0,,,,,Risk of Recidivism,9,High,2014-08-14,Risk of Violence,3,Low,2014-08-14,2015-05-11,2015-08-20,15,0,270,1,1 +1032,elvin soto,elvin,soto,2013-09-23,Male,1987-03-29,29,25 - 45,Hispanic,0,9,0,0,7,-2,2013-09-21 10:15:56,2013-09-22 02:13:54,13013318CF10A,2013-09-21,,2,F,Driving While License Revoked,1,14003524CF10A,(F3),1,2014-03-11,Drivg While Lic Suspd/Revk/Can,2014-03-12,2014-03-12,,0,,,,,Risk of Recidivism,9,High,2013-09-23,Risk of Violence,4,Low,2013-09-23,2014-05-05,2014-05-19,7,0,169,1,1 +1034,jameel brinson,jameel,brinson,2013-01-14,Male,1993-02-18,23,Less than 25,African-American,0,10,0,1,2,0,2013-01-14 04:13:05,2013-04-04 07:46:57,13000874MM10A,2013-01-14,,0,M,Battery,1,13010127MM10A,(M2),0,2013-05-27,Petit Theft,2013-05-27,2013-06-18,,1,14005510CF10A,(F1),2014-04-20,Carjacking,Risk of Recidivism,10,High,2013-01-14,Risk of Violence,9,High,2013-01-14,2013-05-27,2013-06-18,2,80,133,1,1 +1036,vanessa vedrine,vanessa,vedrine,2013-04-27,Male,1988-10-08,27,25 - 45,African-American,0,4,0,0,3,-1,2013-04-26 04:48:56,2013-04-27 01:30:22,13006045CF10A,2013-04-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,3,Low,2013-04-27,2014-08-12,2014-08-13,3,0,472,0,0 +1037,eihab farraj,eihab,farraj,2013-05-24,Male,1994-08-20,21,Less than 25,Asian,0,6,0,1,0,-1,2013-05-23 04:42:45,2013-05-24 01:33:21,13007387CF10A,2013-05-23,,1,F,Att Tamper w/Physical Evidence,1,14015415CF10A,(F1),0,2014-11-15,Burgl Dwel/Struct/Convey Armed,2014-11-15,2014-12-24,,1,14015415CF10A,(F3),2014-11-15,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-05-24,Risk of Violence,6,Medium,2013-05-24,2014-11-15,2014-12-24,0,0,540,1,1 +1038,anthony smith,anthony,smith,2014-07-28,Male,1968-02-08,48,Greater than 45,Caucasian,0,1,0,0,3,-3,2014-07-25 04:43:26,2014-07-26 01:00:29,14010172CF10A,2014-07-24,,4,F,Grand Theft in the 3rd Degree,1,14016297CF10A,(M1),0,2014-12-08,Unlaw Use False Name/Identity,2014-12-08,2015-01-16,,0,,,,,Risk of Recidivism,1,Low,2014-07-28,Risk of Violence,1,Low,2014-07-28,2014-12-08,2015-01-16,3,0,133,1,1 +1039,wiky jean,wiky,jean,2013-12-06,Male,1985-06-21,30,25 - 45,African-American,0,9,0,0,15,210,2014-07-04 07:40:38,2014-07-24 10:35:14,13004706CF10A,2013-04-02,,248,F,Poss Cocaine/Intent To Del/Sel,1,14009182CF10A,(F2),0,2014-07-04,Poss Cocaine/Intent To Del/Sel,2014-07-04,2014-07-24,,0,,,,,Risk of Recidivism,9,High,2013-12-06,Risk of Violence,4,Low,2013-12-06,2014-07-04,2014-07-24,15,0,210,1,1 +1041,shawnita obasogie,shawnita,obasogie,2013-11-15,Female,1984-02-27,32,25 - 45,African-American,0,2,0,0,2,-43,2013-10-03 12:00:11,2013-10-03 06:36:07,13013850CF10A,2013-10-02,,44,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-15,Risk of Violence,1,Low,2013-11-15,2013-10-03,2013-10-03,2,0,868,0,0 +1043,timothy gordon,timothy,gordon,2013-08-22,Male,1984-07-22,31,25 - 45,African-American,0,7,0,0,5,-1,2013-08-21 10:33:41,2013-08-28 08:10:48,13008506CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-22,Risk of Violence,4,Low,2013-08-22,2013-12-11,2013-12-17,5,6,111,0,0 +1044,andrew ellis,andrew,ellis,2013-09-25,Male,1979-06-04,36,25 - 45,African-American,0,5,1,0,4,-1,2013-09-24 01:15:18,2013-09-26 04:16:06,13018225MM10A,2013-09-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-25,Risk of Violence,2,Low,2013-09-25,2013-09-24,2013-09-26,4,1,919,0,0 +1046,johnie wilson,johnie,wilson,2013-09-04,Male,1979-07-09,36,25 - 45,African-American,0,5,0,0,1,,,,12003953MM10A,2012-02-26,,556,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-04,Risk of Violence,5,Medium,2013-09-04,,,1,0,940,0,0 +1048,shawn glasgow,shawn,glasgow,2013-10-09,Male,1971-08-22,44,25 - 45,African-American,0,8,0,0,14,-1,2013-10-08 04:49:38,2013-10-10 04:31:37,13014102CF10A,2013-10-08,,1,F,Felony Driving While Lic Suspd,1,14071057TC20A,(M2),,2014-10-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2013-10-09,Risk of Violence,5,Medium,2013-10-09,2013-10-08,2013-10-10,14,1,366,1,1 +1049,lonnie paccione,lonnie,paccione,2013-05-03,Male,1963-04-17,53,Greater than 45,Caucasian,0,1,0,0,2,-2,2013-05-01 05:14:23,2013-05-02 05:04:15,13006254CF10A,2013-05-01,,2,F,Deliver Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2013-05-01,2013-05-02,2,0,1064,0,0 +1051,roscoe singletary,roscoe,singletary,2013-03-18,Male,1982-07-16,33,25 - 45,African-American,0,2,0,0,3,-1,2013-03-17 04:30:13,2013-03-19 03:29:45,13011446TC10A,2013-03-17,,1,M,Driving License Suspended,1,13021582TC10A,(M1),0,2013-05-24,Opert With Susp DL 2nd Offens,2013-05-24,2013-05-25,,0,,,,,Risk of Recidivism,2,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-05-24,2013-05-25,3,1,67,1,1 +1054,kendrick joseph,kendrick,joseph,2014-01-14,Male,1995-01-16,21,Less than 25,African-American,1,10,0,0,2,-306,2013-03-14 12:55:28,2014-01-02 10:38:00,13005142CF10A,,2013-04-16,273,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-14,Risk of Violence,9,High,2014-01-14,2013-03-14,2014-01-02,2,0,808,0,0 +1055,john sherbondy,john,sherbondy,2013-08-19,Male,1982-12-17,33,25 - 45,African-American,0,8,0,0,4,236,2014-04-12 02:28:50,2015-03-17 06:32:57,11017912CF10A,,2012-02-09,557,F,arrest case no charge,1,14005295CF10A,(F3),,2014-04-02,Grand Theft in the 3rd Degree,,,,1,14005098CF10A,(F3),2014-04-11,Aggravated Assault w/Firearm,Risk of Recidivism,8,High,2013-08-19,Risk of Violence,6,Medium,2013-08-19,2015-06-23,2020-01-01,4,0,226,1,1 +1056,lester littman,lester,littman,2014-12-16,Male,1968-08-29,47,Greater than 45,Caucasian,0,5,0,0,2,0,2014-12-16 02:43:12,2014-12-18 03:36:25,14016675CF10A,2014-12-16,,0,F,Possession of Cocaine,1,15005368MM10A,(M1),0,2015-05-14,Petit Theft $100- $300,2015-05-14,2015-05-15,,0,,,,,Risk of Recidivism,5,Medium,2014-12-16,Risk of Violence,1,Low,2014-12-16,2015-05-14,2015-05-15,2,2,149,1,1 +1057,lindell mcfadden,lindell,mcfadden,2014-04-30,Male,1958-05-15,57,Greater than 45,African-American,0,7,0,0,20,0,2014-04-30 04:04:20,2014-06-02 09:25:23,14005985CF10A,2014-04-30,,0,F,Possession of Cocaine,1,14013861CF10A,(M2),0,2014-10-14,Trespass Struct/Conveyance,2014-10-14,2014-11-04,,0,,,,,Risk of Recidivism,7,Medium,2014-04-30,Risk of Violence,2,Low,2014-04-30,2014-10-14,2014-11-04,20,33,167,1,1 +1058,donald constant,donald,constant,2013-05-05,Male,1987-12-15,28,25 - 45,African-American,0,4,0,0,2,-1,2013-05-04 08:17:34,2013-05-10 09:32:52,12011021MM10A,,2013-05-04,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-05,Risk of Violence,2,Low,2013-05-05,2013-05-04,2013-05-10,2,5,1062,0,0 +1059,maceo wright,maceo,wright,2013-09-21,Male,1991-11-26,24,Less than 25,African-American,0,6,0,0,1,-1,2013-09-20 03:56:36,2013-09-21 08:41:09,13017988MM10A,2013-09-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-21,Risk of Violence,4,Low,2013-09-21,2013-09-20,2013-09-21,1,0,923,0,0 +1060,william karlson,william,karlson,2013-12-19,Male,1971-09-04,44,25 - 45,African-American,0,1,0,0,1,-1,2013-12-18 07:50:18,2013-12-19 08:37:29,13017492CF10A,2013-12-18,,1,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-19,Risk of Violence,1,Low,2013-12-19,2015-03-06,2015-03-07,1,0,442,0,0 +1061,zacchius boyce,zacchius,boyce,2013-02-27,Male,1969-09-17,46,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-26 07:01:42,2013-02-27 07:50:29,13003011CF10A,2013-02-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-27,Risk of Violence,1,Low,2013-02-27,2013-02-26,2013-02-27,0,0,1129,0,0 +1062,duval dixon,duval,dixon,2013-03-24,Male,1979-01-07,37,25 - 45,African-American,0,3,0,0,6,0,2013-03-24 03:36:52,2013-03-25 07:15:05,13004342CF10A,2013-03-24,,0,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,5,Medium,2013-03-24,2013-03-24,2013-03-25,6,1,1104,0,0 +1063,andy plancher,andy,plancher,2014-02-25,Male,1990-04-18,26,25 - 45,African-American,0,6,0,0,10,-6,2014-02-19 06:01:27,2014-02-25 05:49:46,13003002TC10A,,2014-02-19,6,M,arrest case no charge,1,15002907CF10A,(F3),0,2015-03-03,Neglect Child / No Bodily Harm,2015-03-03,2015-03-04,,0,,,,,Risk of Recidivism,6,Medium,2014-02-25,Risk of Violence,4,Low,2014-02-25,2015-03-03,2015-03-04,10,0,371,1,1 +1065,geovani johnson,geovani,johnson,2013-08-22,Male,1988-05-18,27,25 - 45,African-American,0,8,1,0,10,0,2013-08-22 03:03:57,2013-08-22 08:25:10,13011816CF10A,2013-08-22,,0,F,Driving While License Revoked,1,13012248CF10A,(F3),0,2013-08-29,Possession of Cocaine,2013-08-29,2013-08-31,,1,14013212CF10A,(F1),2014-09-29,Robbery W/Firearm,Risk of Recidivism,8,High,2013-08-22,Risk of Violence,7,Medium,2013-08-22,2013-08-29,2013-08-31,10,0,7,1,1 +1066,lazaro vergara,lazaro,vergara,2013-02-12,Male,1975-05-16,40,25 - 45,Caucasian,0,2,0,0,1,-1,2013-02-11 10:39:48,2013-02-13 10:03:55,13002109CF10A,2013-02-11,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-12,Risk of Violence,1,Low,2013-02-12,2013-02-11,2013-02-13,1,1,1144,0,0 +1068,wendy richland,wendy,richland,2013-01-03,Female,1955-12-28,60,Greater than 45,Caucasian,0,3,0,0,9,0,2013-01-03 12:01:40,2014-01-23 05:25:00,09006566CF10A,,2013-01-03,0,F,arrest case no charge,1,13001881CF10A,(F3),,2013-02-05,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-03,2014-01-23,9,0,33,1,1 +1069,bart storm,bart,storm,2014-03-21,Male,1962-07-10,53,Greater than 45,Caucasian,0,1,0,0,1,-6,2014-03-15 04:06:38,2014-03-21 11:05:39,14003705CF10A,,2014-03-14,7,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-21,Risk of Violence,1,Low,2014-03-21,2014-03-15,2014-03-21,1,0,742,0,0 +1070,anthony newson,anthony,newson,2013-05-23,Male,1989-04-27,26,25 - 45,African-American,0,6,1,0,8,-52,2013-04-01 12:44:34,2013-05-12 02:18:45,13004699CF10A,2013-04-01,,52,F,Attempted Robbery Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-23,Risk of Violence,6,Medium,2013-05-23,2015-09-10,2015-09-15,8,0,840,0,0 +1072,andre levy,andre,levy,2014-02-02,Male,1987-06-14,28,25 - 45,African-American,0,1,0,0,0,-1,2014-02-01 07:34:55,2014-02-02 07:48:16,14001432CF10A,2014-02-01,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,3,Low,2014-02-02,2014-02-01,2014-02-02,0,0,789,0,0 +1073,jonathan vanegas,jonathan,vanegas,2014-02-10,Male,1993-03-01,23,Less than 25,Hispanic,0,4,0,0,0,0,2014-02-10 04:37:45,2014-02-10 08:40:32,14005313MU10A,2014-02-10,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-10,Risk of Violence,5,Medium,2014-02-10,2014-02-10,2014-02-10,0,0,781,0,0 +1076,victoria hay,victoria,hay,2013-02-12,Female,1969-05-07,46,Greater than 45,Caucasian,0,8,0,0,2,-1,2013-02-11 07:18:03,2013-03-03 05:03:27,13002106CF10A,2013-02-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-12,Risk of Violence,1,Low,2013-02-12,2013-07-10,2013-10-17,2,19,148,0,0 +1077,reginald butler,reginald,butler,2013-02-05,Male,1992-04-28,23,Less than 25,African-American,0,5,0,0,0,-1,2013-02-04 06:34:00,2013-02-05 08:19:14,13001747CF10A,2013-02-04,,1,F,False Ownership Info/Pawn Item,1,14005828MM10A,(M1),0,2014-04-06,Petit Theft $100- $300,2014-04-06,2014-04-09,,0,,,,,Risk of Recidivism,5,Medium,2013-02-05,Risk of Violence,4,Low,2013-02-05,2014-04-06,2014-04-09,0,0,425,1,1 +1079,markland blackwood,markland,blackwood,2013-07-09,Male,1978-07-21,37,25 - 45,African-American,0,1,0,0,5,,,,13008358CF10A,2013-06-11,,28,F,Aggravated Battery / Pregnant,1,13022826MM10A,(M1),,2013-11-14,Battery,,,,1,13022826MM10A,(M1),2013-11-14,Battery,Risk of Recidivism,1,Low,2013-07-09,Risk of Violence,2,Low,2013-07-09,,,5,0,128,1,1 +1081,rapheal brown,rapheal,brown,2013-04-10,Male,1971-11-30,44,25 - 45,African-American,0,1,0,1,1,,,,11126344TI30A,2011-11-24,,503,M,Fail To Secure Load,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-10,Risk of Violence,1,Low,2013-04-10,,,1,0,1087,0,0 +1082,eddie foster,eddie,foster,2013-09-29,Male,1966-04-08,50,Greater than 45,African-American,0,8,0,0,18,-1,2013-09-28 04:00:12,2014-06-04 02:35:27,13013622CF10A,2013-09-28,,1,F,Driving While License Revoked,1,14008092CF10A,(M1),0,2014-06-11,Possess Cannabis/20 Grams Or Less,2014-06-11,2014-06-11,,0,,,,,Risk of Recidivism,8,High,2013-09-29,Risk of Violence,6,Medium,2013-09-29,2014-06-11,2014-06-11,18,248,255,0,1 +1084,paul henderson,paul,henderson,2013-04-29,Male,1970-07-11,45,Greater than 45,African-American,0,1,0,0,0,-1,2013-04-28 07:46:48,2013-04-30 03:53:04,13008185MM10A,2013-04-28,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-28,2013-04-30,0,1,1068,0,0 +1086,walter eady,walter,eady,2014-02-28,Male,1993-11-16,22,Less than 25,African-American,0,5,0,0,1,-1,2014-02-27 05:17:46,2014-02-28 01:22:35,14002787CF10A,,2014-02-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-28,Risk of Violence,7,Medium,2014-02-28,2014-05-08,2014-05-28,1,0,69,0,0 +1087,kevin abreu,kevin,abreu,2014-02-13,Male,1989-10-08,26,25 - 45,Caucasian,0,2,0,0,1,0,2014-02-13 02:31:02,2014-03-01 09:14:16,14001331CF10A,,2014-02-13,0,F,arrest case no charge,1,14033290TC10A,(M2),0,2014-09-14,Lve/Scen/Acc/Veh/Prop/Damage,2014-09-14,2014-10-03,,1,15010287MM10A,(M1),2015-09-30,Battery,Risk of Recidivism,2,Low,2014-02-13,Risk of Violence,3,Low,2014-02-13,2014-09-14,2014-10-03,1,16,213,1,1 +1088,joseph costino,joseph,costino,2013-01-10,Male,1954-03-12,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-09 03:17:14,2013-01-12 03:08:45,13000380CF10A,2013-01-09,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,2013-01-09,2013-01-12,0,2,1177,0,0 +1089,brandon allen,brandon,allen,2013-10-29,Male,1982-02-14,34,25 - 45,Caucasian,0,1,0,0,0,0,2013-10-29 04:06:47,2013-10-29 02:01:23,13020457MM10A,2013-10-29,,0,M,DUI Property Damage/Injury,1,14005994MU10A,(M2),1,2014-02-13,Driving Under The Influence,2014-02-14,2014-03-19,,0,,,,,Risk of Recidivism,1,Low,2013-10-29,Risk of Violence,1,Low,2013-10-29,2014-02-14,2014-03-19,0,0,107,1,1 +1092,angel nunez,angel,nunez,2013-08-08,Male,1991-10-08,24,Less than 25,Hispanic,0,10,0,0,1,-6,2013-08-02 10:27:58,2013-08-08 11:00:55,13010905CF10A,2013-08-02,,6,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-08,Risk of Violence,5,Medium,2013-08-08,2013-11-15,2013-11-19,1,0,99,0,0 +1093,william baumann,william,baumann,2013-01-14,Male,1994-09-02,21,Less than 25,Caucasian,0,2,0,0,0,-1,2013-01-13 10:04:17,2013-01-14 12:55:21,13000783MM10A,2013-01-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,5,Medium,2013-01-14,2013-01-13,2013-01-14,0,0,1173,0,0 +1094,caitlin wallace,caitlin,wallace,2014-12-13,Male,1991-03-11,25,25 - 45,Caucasian,0,2,0,0,0,-1,2014-12-12 07:29:14,2014-12-13 07:28:15,14016511CF10A,2014-12-12,,1,F,Felony Battery,1,15015010CF10A,(F2),0,2015-11-19,Agg Battery Grt/Bod/Harm,2015-11-19,2015-11-20,,1,15015010CF10A,(F2),2015-11-19,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2014-12-13,Risk of Violence,3,Low,2014-12-13,2015-11-19,2015-11-20,0,0,341,1,1 +1096,gregory still,gregory,still,2013-01-08,Male,1947-08-26,68,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-07 05:13:05,2013-01-10 09:39:29,13000399MM10A,2013-01-07,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-08,Risk of Violence,1,Low,2013-01-08,2013-01-07,2013-01-10,0,2,1179,0,0 +1097,brendan casey,brendan,casey,2014-02-20,Male,1974-05-10,41,25 - 45,Caucasian,0,2,0,0,2,-47,2014-01-04 06:03:39,2014-01-04 08:34:05,14000375MU10A,2014-01-04,,47,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-20,Risk of Violence,2,Low,2014-02-20,2014-01-04,2014-01-04,2,0,771,0,0 +1099,christopher rabold,christopher,rabold,2013-03-02,Male,1994-11-27,21,Less than 25,Caucasian,0,3,0,0,1,-1,2013-03-01 07:29:20,2013-03-02 07:28:52,13003104CF10A,,2013-03-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-02,Risk of Violence,6,Medium,2013-03-02,2013-03-01,2013-03-02,1,0,1126,0,0 +1101,elsa tejada,elsa,tejada,2014-02-03,Female,1978-11-14,37,25 - 45,Hispanic,0,3,0,0,1,-1,2014-02-02 08:11:13,2014-02-04 04:08:24,14001476CF10A,2014-02-02,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-02,2014-02-04,1,1,788,0,0 +1103,kalil edwards,kalil,edwards,2013-11-12,Male,1993-06-26,22,Less than 25,African-American,0,8,0,0,0,0,2013-11-12 01:16:29,2013-11-12 08:32:15,13015693CF10A,2013-11-12,,0,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-12,Risk of Violence,5,Medium,2013-11-12,2013-11-12,2013-11-12,0,0,871,0,0 +1105,anthony forte,anthony,forte,2013-11-07,Male,1978-03-16,38,25 - 45,Caucasian,0,4,0,0,11,-268,2013-02-12 10:45:09,2013-11-07 10:50:54,12001347CF10A,,2013-02-12,268,F,arrest case no charge,1,15001140MM40A,(M2),76,2015-02-24,Petit Theft,2015-05-11,2015-05-15,,0,,,,,Risk of Recidivism,4,Low,2013-11-07,Risk of Violence,2,Low,2013-11-07,2015-05-11,2015-05-15,11,0,474,1,1 +1106,gregory osman,gregory,osman,2013-01-29,Male,1974-03-14,42,25 - 45,Caucasian,0,1,0,0,1,-1,2013-01-28 05:40:47,2013-01-29 01:19:50,11015816CF10A,,2013-01-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-28,2013-01-29,1,0,1158,0,0 +1107,shawn davis,shawn,davis,2013-04-26,Male,1994-01-14,22,Less than 25,Caucasian,0,4,1,1,1,-1,2013-04-25 03:09:51,2013-04-26 06:59:23,13005950CF10A,,2013-04-25,1,F,arrest case no charge,1,14005818MM10A,(M1),0,2014-04-05,Trespass Other Struct/Conve,2014-04-05,2014-04-20,,0,,,,,Risk of Recidivism,4,Low,2013-04-26,Risk of Violence,6,Medium,2013-04-26,2014-04-05,2014-04-20,1,0,344,1,1 +1109,richard carter,richard,carter,2014-09-07,Male,1970-05-05,45,Greater than 45,African-American,0,4,0,0,0,-1,2014-09-06 07:44:33,2014-09-09 03:54:23,14012146CF10A,2014-09-06,,1,F,Grand Theft (Motor Vehicle),1,14017939MM10A,(M1),0,2014-12-18,Extradition/Defendants,2014-12-18,2015-01-14,,0,,,,,Risk of Recidivism,4,Low,2014-09-07,Risk of Violence,2,Low,2014-09-07,2014-12-18,2015-01-14,0,2,102,1,1 +1110,marketta burgess,marketta,burgess,2013-01-05,Female,1980-04-02,36,25 - 45,African-American,0,10,0,0,4,-1,2013-01-04 11:30:32,2013-01-05 07:58:49,13000191CF10A,2013-01-04,,1,F,Neglect Child / No Bodily Harm,1,14013332CF10A,(F3),0,2014-10-03,Possession of Cocaine,2014-10-03,2015-03-02,,0,,,,,Risk of Recidivism,10,High,2013-01-05,Risk of Violence,6,Medium,2013-01-05,2014-10-03,2015-03-02,4,0,636,1,1 +1111,joseph kelley,joseph,kelley,2013-04-01,Male,1967-11-19,48,Greater than 45,African-American,0,6,0,0,2,0,2013-04-01 06:58:00,2013-04-02 12:49:07,13004649CF10A,2013-04-01,,0,F,Fel Drive License Perm Revoke,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-04-01,2013-04-02,2,1,1096,0,0 +1118,vicky castillo,vicky,castillo,2013-10-01,Female,1970-10-05,45,Greater than 45,Caucasian,0,1,0,0,1,-106,2013-06-17 04:01:20,2013-06-25 08:31:02,13007024CF10A,,2013-06-17,106,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-06-17,2013-06-25,1,0,913,0,0 +1119,tavarus grayheart,tavarus,grayheart,2014-03-13,Male,1992-10-15,23,Less than 25,African-American,0,9,0,1,6,-1,2014-03-12 04:49:26,2014-03-20 09:46:56,14003509CF10A,2014-03-12,,1,F,Grand Theft in the 3rd Degree,1,14027514TC20A,(M2),,2014-04-03,Susp Drivers Lic 1st Offense,,,,1,15015308CF10A,(F2),2015-11-27,Agg Flee/Eluding (Injury/Prop Damage),Risk of Recidivism,9,High,2014-03-13,Risk of Violence,8,High,2014-03-13,2014-03-12,2014-03-20,6,7,21,1,1 +1120,michall simon,michall,simon,2013-04-07,Male,1991-10-24,24,Less than 25,African-American,0,8,0,0,0,0,2013-04-07 02:55:12,2013-04-08 10:05:58,13005000CF10A,2013-04-06,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-07,Risk of Violence,7,Medium,2013-04-07,2013-04-07,2013-04-08,0,1,1090,0,0 +1121,deonte knight,deonte,knight,2013-04-25,Male,1987-01-24,29,25 - 45,African-American,0,2,0,0,0,-1,2013-04-24 05:48:18,2013-04-25 11:01:14,13005894CF10A,2013-04-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-25,Risk of Violence,3,Low,2013-04-25,2014-08-12,2014-08-12,0,0,474,0,0 +1122,jacky voltaire,jacky,voltaire,2013-07-18,Male,1991-05-15,24,Less than 25,African-American,0,3,0,0,0,-3,2013-07-15 11:39:27,2013-07-16 01:15:42,13009914CF10A,2013-07-15,,3,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-18,Risk of Violence,4,Low,2013-07-18,2013-07-15,2013-07-16,0,0,988,0,0 +1123,willie johnson,willie,johnson,2013-09-09,Male,1965-11-02,50,Greater than 45,African-American,0,9,0,0,11,0,2013-09-09 01:51:41,2013-09-11 04:56:45,13012732CF10A,2013-09-09,,0,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-09,Risk of Violence,6,Medium,2013-09-09,2013-09-09,2013-09-11,11,2,935,0,0 +1125,travis dixon,travis,dixon,2014-05-12,Male,1982-01-12,34,25 - 45,African-American,0,7,1,0,10,0,2014-05-12 03:33:09,2014-05-14 09:37:26,14006621CF10A,,2014-05-12,0,F,arrest case no charge,1,15004413CF10A,(F1),1,2015-04-03,Trafficking In Cocaine 28><200,2015-04-04,2015-04-05,,0,,,,,Risk of Recidivism,7,Medium,2014-05-12,Risk of Violence,2,Low,2014-05-12,2014-05-12,2014-05-14,10,2,326,1,1 +1127,norman bushay,norman,bushay,2013-03-05,Male,1992-04-28,23,Less than 25,African-American,0,2,0,0,0,0,2013-03-05 03:06:29,2013-03-05 06:43:38,13003303CF10A,2013-03-05,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-05,Risk of Violence,4,Low,2013-03-05,2013-03-05,2013-03-05,0,0,1123,0,0 +1128,brenda hernandez,brenda,hernandez,2013-01-05,Female,1994-02-09,22,Less than 25,Caucasian,0,5,0,0,0,-1,2013-01-04 05:04:08,2013-01-06 05:48:14,13000570TC10A,2013-01-04,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-05,Risk of Violence,6,Medium,2013-01-05,2013-01-04,2013-01-06,0,1,1182,0,0 +1129,kent rizon,kent,rizon,2013-11-13,Male,1980-03-16,36,25 - 45,Other,0,1,0,0,0,-1,2013-11-12 03:12:05,2013-11-19 05:29:28,13015711CF10A,2013-11-12,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-13,Risk of Violence,1,Low,2013-11-13,2013-11-12,2013-11-19,0,6,870,0,0 +1130,shawn shaw,shawn,shaw,2014-11-17,Male,1985-07-12,30,25 - 45,Caucasian,0,5,0,0,22,-1,2014-11-16 06:29:12,2014-11-19 08:43:44,14015429CF10A,2014-11-16,,1,F,Possession of Cocaine,1,15000717MM40A,(M2),85,2015-01-08,Petit Theft,2015-04-03,2015-05-31,,0,,,,,Risk of Recidivism,5,Medium,2014-11-17,Risk of Violence,6,Medium,2014-11-17,2014-11-16,2014-11-19,22,2,52,1,1 +1131,kamry kelly,kamry,kelly,2013-02-14,Male,1994-08-27,21,Less than 25,African-American,0,10,0,0,0,-1,2013-02-13 07:59:36,2013-02-14 08:14:37,13002242CF10A,2013-02-13,,1,F,Deliver Cocaine 1000FT Church,1,14000744MM30A,(M1),53,2014-04-24,Trespass Other Struct/Conve,2014-06-16,2014-06-16,,0,,,,,Risk of Recidivism,10,High,2013-02-14,Risk of Violence,9,High,2013-02-14,2013-10-05,2013-10-05,0,0,233,0,1 +1132,edmund callahan,edmund,callahan,2013-10-23,Female,1963-03-24,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-23 02:26:06,2013-10-24 06:18:43,13014806CF10A,2013-10-23,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2014-10-27,2014-10-31,0,1,369,0,0 +1135,john martinelli,john,martinelli,2014-01-13,Male,1991-09-01,24,Less than 25,Caucasian,0,3,0,0,1,-37,2013-12-07 10:28:43,2013-12-08 01:46:26,13016950CF10A,2013-12-07,,37,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-13,Risk of Violence,3,Low,2014-01-13,2014-03-12,2014-04-01,1,0,58,0,0 +1136,erica smith,erica,smith,2013-02-02,Male,1990-12-16,25,25 - 45,African-American,0,5,1,1,7,-1,2013-02-01 11:35:08,2013-02-02 08:07:22,12052779TC10A,,2013-02-01,1,M,arrest case no charge,1,13016793TC10A,(M2),0,2013-04-17,Operating W/O Valid License,2013-04-17,2013-04-17,,0,,,,,Risk of Recidivism,5,Medium,2013-02-02,Risk of Violence,5,Medium,2013-02-02,2013-04-17,2013-04-17,7,0,74,0,1 +1138,marsha jeanjoseph,marsha,jeanjoseph,2014-01-03,Female,1990-06-12,25,25 - 45,African-American,0,9,0,0,1,0,2014-01-03 02:09:56,2014-01-03 07:33:37,09066249TC30A,,2009-08-18,1599,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-03,Risk of Violence,5,Medium,2014-01-03,2014-01-03,2014-01-03,1,0,819,0,0 +1140,edwin swinton,edwin,swinton,2013-05-17,Male,1944-05-30,71,Greater than 45,African-American,0,1,0,0,8,-1,2013-05-16 09:36:12,2013-06-10 07:28:18,13006982CF10A,2013-05-16,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-17,Risk of Violence,2,Low,2013-05-17,2013-05-16,2013-06-10,8,24,1050,0,0 +1141,elliot king,elliot,king,2013-01-12,Male,1976-06-20,39,25 - 45,African-American,0,9,4,0,10,-1,2013-01-11 12:37:30,2013-02-21 07:26:22,04009015TC40A,,2004-11-01,2994,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-12,Risk of Violence,3,Low,2013-01-12,2013-09-07,2013-10-14,10,40,238,0,0 +1142,lashonn boykin,lashonn,boykin,2014-01-11,Female,1979-04-03,37,25 - 45,African-American,0,5,0,0,0,0,2014-01-11 04:29:19,2014-02-17 08:19:02,14000466CF10A,2014-01-11,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-11,Risk of Violence,3,Low,2014-01-11,2014-01-11,2014-02-17,0,37,811,0,0 +1143,martise pointer,martise,pointer,2014-09-07,Male,1995-05-04,20,Less than 25,African-American,0,5,0,2,0,0,2014-09-07 12:52:42,2014-09-15 09:00:49,14012181CF10A,2014-09-06,,1,F,Possession of Cocaine,1,15007938MM10A,(M2),0,2015-07-26,Trespass Struct/Conveyance,2015-07-26,2015-07-27,,0,,,,,Risk of Recidivism,5,Medium,2014-09-07,Risk of Violence,8,High,2014-09-07,2015-07-26,2015-07-27,0,8,322,1,1 +1144,brittany exantus,brittany,exantus,2013-08-13,Female,1986-06-02,29,25 - 45,African-American,0,5,0,0,3,-1,2013-08-12 08:00:00,2013-08-13 06:43:07,13011319CF10A,2013-08-12,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-13,Risk of Violence,4,Low,2013-08-13,2013-08-12,2013-08-13,3,0,962,0,0 +1145,tyrail brantley,tyrail,brantley,2014-12-12,Male,1993-10-06,22,Less than 25,African-American,0,5,0,0,2,-1,2014-12-11 03:56:24,2014-12-12 12:51:23,14016434CF10A,2014-12-11,,1,F,Possession of Cocaine,1,15008696MM10A,(M1),0,2015-08-17,Resist/Obstruct W/O Violence,2015-08-17,2015-08-18,,0,,,,,Risk of Recidivism,5,Medium,2014-12-12,Risk of Violence,5,Medium,2014-12-12,2015-08-17,2015-08-18,2,0,248,1,1 +1146,anton gantt,anton,gantt,2013-04-25,Male,1990-02-22,26,25 - 45,African-American,0,7,0,0,4,-1,2013-04-24 01:23:40,2013-07-16 11:39:34,13005879CF10A,2013-04-24,,1,F,Aggravated Assault w/Firearm,1,14023325TC10A,(M2),0,2014-06-22,Operating W/O Valid License,2014-06-22,2014-07-07,,0,,,,,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,7,Medium,2013-04-25,2014-06-22,2014-07-07,4,82,423,1,1 +1149,sergio sergio,sergio,sergio,2013-01-15,Male,1980-09-19,35,25 - 45,Hispanic,0,7,0,0,5,,,,10010801CF10A,,2011-04-02,654,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,7,Medium,2013-01-15,,,5,0,1172,0,0 +1150,wanda daniels,wanda,daniels,2013-10-09,Female,1968-12-18,47,Greater than 45,African-American,0,10,0,0,19,-1,2013-10-08 12:12:30,2013-11-08 08:59:42,13014107CF10A,2013-10-08,,1,F,Possession of Cocaine,1,15012442CF10A,(F3),0,2015-09-25,Possession of Cocaine,2015-09-25,2015-10-30,,0,,,,,Risk of Recidivism,10,High,2013-10-09,Risk of Violence,2,Low,2013-10-09,2014-01-28,2014-07-02,19,30,111,0,1 +1151,steven bansie,steven,bansie,2013-10-12,Male,1994-09-16,21,Less than 25,Other,0,4,0,0,1,-1,2013-10-11 07:30:50,2013-10-12 02:37:10,13014270CF10A,2013-10-11,,1,F,Possession of Cannabis,1,14004843MM10A,(M1),,2014-02-07,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-12,Risk of Violence,6,Medium,2013-10-12,2013-10-11,2013-10-12,1,0,118,1,1 +1152,maxima basil,maxima,basil,2014-01-10,Female,1992-12-30,23,Less than 25,Other,0,10,0,0,0,-1,2014-01-09 02:16:17,2014-01-10 08:41:42,14000393MM10A,2014-01-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-10,Risk of Violence,10,High,2014-01-10,2014-01-09,2014-01-10,0,0,812,0,0 +1153,cassi schmiedeknecht,cassi,schmiedeknecht,2014-01-01,Female,1995-11-06,20,Less than 25,Caucasian,0,8,0,0,1,-1,2013-12-31 06:26:42,2014-01-17 10:42:40,14000011CF10A,2013-12-31,,1,F,Burglary Unoccupied Dwelling,1,16000036MM20A,(M2),,2015-12-23,Possession Of Alcohol Under 21,,,,0,,,,,Risk of Recidivism,8,High,2014-01-01,Risk of Violence,6,Medium,2014-01-01,2013-12-31,2014-01-17,1,16,721,1,1 +1156,latrellias butler,latrellias,butler,2014-03-07,Female,1992-10-27,23,Less than 25,African-American,0,2,0,0,0,-1,2014-03-06 08:02:12,2014-03-07 08:50:57,14003178CF10A,2014-03-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-07,Risk of Violence,3,Low,2014-03-07,2014-03-06,2014-03-07,0,0,756,0,0 +1157,james tiger,james,tiger,2013-11-05,Male,1988-09-09,27,25 - 45,Native American,0,7,0,0,3,0,2013-11-05 04:32:08,2013-11-06 03:05:48,13020889MM10A,2013-11-05,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-05,Risk of Violence,4,Low,2013-11-05,2013-11-05,2013-11-06,3,1,878,0,0 +1158,kevin tarr,kevin,tarr,2013-08-15,Male,1961-02-09,55,Greater than 45,Caucasian,0,2,0,0,18,-47,2013-06-29 05:34:10,2013-08-05 11:59:42,13009175CF10A,,2013-06-29,47,F,arrest case no charge,1,13015348CF10A,(F3),1,2013-11-03,Felony Petit Theft,2013-11-04,2014-01-30,,0,,,,,Risk of Recidivism,2,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2013-10-10,2013-10-17,18,0,56,0,1 +1159,rosalind townsend,rosalind,townsend,2013-09-23,Female,1963-03-28,53,Greater than 45,African-American,0,1,0,0,0,0,2013-09-23 02:29:56,2013-09-23 08:46:28,13013383CF10A,2013-09-23,,0,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-23,2013-09-23,0,0,921,0,0 +1160,lasha ware,lasha,ware,2013-05-05,Female,1992-10-13,23,Less than 25,African-American,0,7,0,0,0,-1,2013-05-04 10:05:51,2013-05-05 06:07:57,13006404CF10A,2013-05-04,,1,F,Aggrav Battery w/Deadly Weapon,1,16000422MM30A,(M1),,2016-02-21,Criminal Mischief>$200<$1000,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-05,Risk of Violence,7,Medium,2013-05-05,2013-05-04,2013-05-05,0,0,1022,1,0 +1162,rocheny belizaire,rocheny,belizaire,2014-08-27,Male,1989-08-06,26,25 - 45,African-American,0,7,0,1,5,-1,2014-08-26 07:01:23,2014-09-17 10:18:14,14011649CF10A,2014-08-26,,1,F,Grand Theft (Motor Vehicle),1,15013500CF10A,(F2),,2015-10-16,Burglary Unoccupied Dwelling,,,,0,,,,,Risk of Recidivism,7,Medium,2014-08-27,Risk of Violence,3,Low,2014-08-27,2014-08-26,2014-09-17,5,21,415,1,1 +1163,derion mcreed,derion,mcreed,2013-01-04,Male,1990-07-01,25,25 - 45,African-American,0,6,0,0,6,-1,2013-01-03 05:43:48,2013-01-09 05:44:20,13000126CF10A,2013-01-03,,1,F,Burglary Unoccupied Dwelling,1,15014297CF10A,(F3),136,2015-11-02,Grand Theft (Motor Vehicle),2016-03-17,2016-04-15,,0,,,,,Risk of Recidivism,6,Medium,2013-01-04,Risk of Violence,5,Medium,2013-01-04,2014-06-11,2014-06-11,6,5,523,0,0 +1165,alan messina,alan,messina,2013-08-04,Male,1992-05-23,23,Less than 25,Other,0,4,0,0,2,-1,2013-08-03 07:10:36,2013-08-04 08:13:39,13014666MM10A,2013-08-03,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-04,Risk of Violence,6,Medium,2013-08-04,2014-03-13,2014-03-26,2,0,221,0,0 +1166,brandon henley,brandon,henley,2014-03-11,Male,1988-10-15,27,25 - 45,African-American,0,9,0,0,4,0,2014-03-11 05:19:53,2014-03-11 08:47:22,14003434CF10A,2014-03-11,,0,F,Pos Cannabis W/Intent Sel/Del,1,14013852CF10A,(F3),,2014-10-13,Grand Theft (Motor Vehicle),,,,1,14013852CF10A,(M2),2014-10-13,Assault,Risk of Recidivism,9,High,2014-03-11,Risk of Violence,7,Medium,2014-03-11,2014-03-11,2014-03-11,4,0,216,1,1 +1167,roderick wongwon,roderick,wongwon,2013-10-10,Male,1989-09-30,26,25 - 45,African-American,0,3,0,0,2,-106,2013-06-26 01:01:35,2013-06-26 08:16:53,13012228MM10A,2013-06-25,,107,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-10,Risk of Violence,4,Low,2013-10-10,2013-06-26,2013-06-26,2,0,904,0,0 +1169,dominic mcintosh,dominic,mcintosh,2013-05-20,Male,1987-03-23,29,25 - 45,African-American,0,4,0,0,1,-1,2013-05-19 04:24:50,2013-05-22 12:18:30,13009628MM10A,2013-05-19,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-20,Risk of Violence,3,Low,2013-05-20,2015-06-22,2015-06-26,1,2,763,0,0 +1170,rohan fletcher,rohan,fletcher,2014-07-09,Male,1988-09-13,27,25 - 45,Other,0,2,0,0,1,-1,2014-07-08 12:21:10,2014-07-09 09:28:42,14009361CF10A,2014-07-08,,1,F,Aggravated Assault W/Dead Weap,1,15002349MM10A,(M1),0,2015-02-26,Carrying A Concealed Weapon,2015-02-26,2015-02-27,,0,,,,,Risk of Recidivism,2,Low,2014-07-09,Risk of Violence,4,Low,2014-07-09,2015-02-26,2015-02-27,1,0,232,1,1 +1171,david humberto,david,humberto,2013-04-18,Male,1988-01-16,28,25 - 45,Hispanic,0,2,0,0,0,-1,2013-04-17 07:59:26,2013-04-18 10:21:13,13005517CF10A,2013-04-17,,1,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-18,Risk of Violence,2,Low,2013-04-18,2013-04-17,2013-04-18,0,0,1079,0,0 +1172,sergio vankanten,sergio,vankanten,2013-09-22,Male,1984-07-02,31,25 - 45,African-American,0,2,0,0,0,-1,2013-09-21 09:12:18,2013-09-22 08:15:55,13018031MM10A,2013-09-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-22,Risk of Violence,1,Low,2013-09-22,2013-09-21,2013-09-22,0,0,922,0,0 +1173,sultan shakir,sultan,shakir,2013-11-27,Male,1974-10-04,41,25 - 45,African-American,0,6,0,0,8,-29,2013-10-29 05:23:04,2013-10-30 01:58:40,13015094CF10A,2013-10-29,,29,F,Possession of Cocaine,1,15025264TC10A,(M2),,2015-08-31,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-27,Risk of Violence,3,Low,2013-11-27,2013-10-29,2013-10-30,8,0,642,1,1 +1176,alexander pauleuc,alexander,pauleuc,2013-05-28,Male,1990-06-21,25,25 - 45,Caucasian,0,2,0,0,0,-2,2013-05-26 01:54:05,2013-05-26 09:24:25,13010061MM10A,2013-05-25,,3,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,3,Low,2013-05-28,2013-05-26,2013-05-26,0,0,1039,0,0 +1177,christopher kiefer,christopher,kiefer,2014-02-24,Male,1969-04-02,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-23 12:27:01,2014-02-23 08:15:29,14006834MU10A,2014-02-22,,2,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-23,2014-02-23,0,0,767,0,0 +1179,lennox cameron,lennox,cameron,2013-03-31,Male,1979-01-06,37,25 - 45,African-American,0,2,0,0,4,-1,2013-03-30 11:29:11,2013-03-31 12:23:51,13004564CF10A,2013-03-30,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-08-12,2013-08-13,4,0,134,0,0 +1181,shawanda johnson,shawanda,johnson,2013-08-24,Female,1981-01-12,35,25 - 45,African-American,0,5,0,0,4,-1,2013-08-23 11:46:10,2013-08-25 12:15:56,13011914CF10A,2013-08-23,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-24,Risk of Violence,3,Low,2013-08-24,2013-08-23,2013-08-25,4,1,951,0,0 +1186,chance lacy,chance,lacy,2013-08-13,Male,1991-08-13,24,Less than 25,Caucasian,0,4,0,0,1,0,2013-08-13 02:58:36,2013-08-14 05:03:53,13015299MM10A,2013-08-12,,1,M,Battery,1,14000468MM20A,(M2),,2014-01-19,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-13,Risk of Violence,6,Medium,2013-08-13,2013-08-13,2013-08-14,1,1,159,1,1 +1187,sylas swaskee,sylas,swaskee,2014-10-15,Male,1995-01-10,21,Less than 25,Caucasian,0,9,2,1,2,-1,2014-10-14 06:55:40,2014-10-20 04:58:47,14013865CF10A,2014-10-14,,1,F,Grand Theft (Motor Vehicle),1,15001387CF10A,(F2),,2014-11-26,Robbery Sudd Snatch w/Weapon,,,,1,15001387CF10A,(F2),2014-11-26,Robbery Sudd Snatch w/Weapon,Risk of Recidivism,9,High,2014-10-15,Risk of Violence,8,High,2014-10-15,2014-10-14,2014-10-20,2,5,42,1,1 +1191,corey haseley,corey,haseley,2013-08-12,Male,1993-08-27,22,Less than 25,Caucasian,0,4,0,0,0,0,2013-08-12 12:19:21,2013-08-15 07:52:52,13011258CF10A,2013-08-11,,1,F,Burglary Conveyance Unoccup,1,15006308MM10A,(M1),1,2015-05-23,Resist Merchant W Or W/O Viol,2015-05-24,2015-10-10,,0,,,,,Risk of Recidivism,4,Low,2013-08-12,Risk of Violence,6,Medium,2013-08-12,2013-08-12,2013-08-15,0,3,649,1,1 +1192,joseph roberts,joseph,roberts,2013-10-11,Male,1959-02-06,57,Greater than 45,African-American,0,6,0,0,11,-1,2013-10-10 04:21:35,2014-02-27 09:34:33,13014202CF10A,2013-10-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-11,Risk of Violence,5,Medium,2013-10-11,2013-10-10,2014-02-27,11,139,903,0,0 +1193,darren petri,darren,petri,2013-12-30,Male,1968-01-30,48,Greater than 45,Caucasian,0,7,0,0,0,-1,2013-12-29 08:36:14,2014-01-09 09:02:40,13017927CF10A,2013-12-29,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-30,Risk of Violence,4,Low,2013-12-30,2014-12-25,2015-01-05,0,10,360,0,0 +1194,mackenson revolus,mackenson,revolus,2013-03-06,Male,1979-12-28,36,25 - 45,Other,0,1,0,0,0,-1,2013-03-05 02:14:50,2013-03-10 05:24:10,13003427CF10A,2013-03-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,1,Low,2013-03-06,2013-03-05,2013-03-10,0,4,1122,0,0 +1195,latonya ray,latonya,ray,2014-01-09,Female,1979-04-05,37,25 - 45,African-American,0,7,0,0,3,-1,2014-01-08 07:01:21,2014-02-05 10:16:46,14000337CF10A,2014-01-08,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-09,Risk of Violence,4,Low,2014-01-09,2014-01-08,2014-02-05,3,27,813,0,0 +1196,kevin kendall,kevin,kendall,2013-01-01,Male,1984-09-16,31,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-01 04:29:04,2013-01-06 08:57:53,13000060MM10A,2013-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-01,Risk of Violence,2,Low,2013-01-01,2013-01-01,2013-01-06,0,5,1186,0,0 +1197,carnell robinson,carnell,robinson,2014-10-21,Male,1994-01-26,22,Less than 25,African-American,0,9,1,0,1,-1,2014-10-20 05:22:01,2014-10-24 09:01:43,14014153CF10A,2014-10-20,,1,F,False Ownership Info/Pawn Item,1,15007021CF10A,(F2),,2015-05-29,Sell/Man/Del Pos/w/int Heroin,,,,0,,,,,Risk of Recidivism,9,High,2014-10-21,Risk of Violence,9,High,2014-10-21,2014-10-20,2014-10-24,1,3,220,1,1 +1198,dale alderson,dale,alderson,2013-05-10,Male,1985-02-14,31,25 - 45,Caucasian,0,3,0,0,2,0,2013-05-10 02:37:25,2013-05-10 08:03:14,13009071MM10A,2013-05-10,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-10,Risk of Violence,2,Low,2013-05-10,2013-05-10,2013-05-10,2,0,1057,0,0 +1200,devonne gabriel,devonne,gabriel,2014-01-26,Male,1991-11-08,24,Less than 25,African-American,0,5,0,0,0,-1,2014-01-25 09:51:16,2014-01-26 01:51:01,14001119CF10A,2014-01-25,,1,F,Burglary Conveyance Unoccup,1,14020966TC10A,(M2),0,2014-06-05,Driving License Suspended,2014-06-05,2014-06-12,,0,,,,,Risk of Recidivism,5,Medium,2014-01-26,Risk of Violence,4,Low,2014-01-26,2014-04-08,2014-04-14,0,0,72,0,1 +1202,christopher patterson,christopher,patterson,2013-10-20,Male,1983-06-13,32,25 - 45,African-American,0,9,0,1,22,0,2013-10-20 01:59:29,2013-10-20 08:13:18,13013808CF10A,,2013-10-20,0,F,arrest case no charge,1,14004969MM10A,(M1),0,2014-03-21,Viol Injunct Domestic Violence,2014-03-21,2014-05-18,,1,14004969MM10A,(M1),2014-03-21,Battery,Risk of Recidivism,9,High,2013-10-20,Risk of Violence,10,High,2013-10-20,2014-03-21,2014-05-18,22,0,152,1,1 +1204,elenaida nunez,elenaida,nunez,2014-02-22,Female,1992-11-17,23,Less than 25,Other,0,4,0,0,0,-1,2014-02-21 07:57:15,2014-02-22 08:23:54,14003086MM10A,2014-02-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-22,Risk of Violence,5,Medium,2014-02-22,2014-02-21,2014-02-22,0,0,769,0,0 +1205,ira butler,ira,butler,2013-10-24,Male,1952-09-20,63,Greater than 45,African-American,0,1,0,0,0,-1,2013-10-23 05:45:37,2013-10-24 01:09:57,13020101MM10A,2013-10-23,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,2013-10-23,2013-10-24,0,0,890,0,0 +1206,shamroy west,shamroy,west,2013-09-23,Male,1986-03-04,30,25 - 45,Other,0,1,0,0,0,-1,2013-09-22 01:14:48,2013-09-23 08:25:00,13013349CF10A,2013-09-22,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,2,Low,2013-09-23,2013-09-22,2013-09-23,0,0,921,0,0 +1207,william emerson,william,emerson,2013-05-14,Male,1989-12-12,26,25 - 45,Caucasian,0,5,0,0,2,-38,2013-04-06 05:56:09,2013-05-03 08:12:04,13004932CF10A,2013-04-06,,38,F,Possession of Cocaine,1,14016260CF10A,(F3),,2014-12-07,Aggravated Assault W/Dead Weap,,,,1,14016260CF10A,(F3),2014-12-07,Aggravated Assault W/Dead Weap,Risk of Recidivism,5,Medium,2013-05-14,Risk of Violence,4,Low,2013-05-14,2016-04-05,2020-01-01,2,0,572,1,1 +1208,marshal white,marshal,white,2013-05-23,Male,1968-02-14,48,Greater than 45,Caucasian,0,3,0,0,2,,,,13009888MM10A,2013-05-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-23,Risk of Violence,2,Low,2013-05-23,,,2,0,1044,0,0 +1209,justin may,justin,may,2014-03-12,Male,1995-09-12,20,Less than 25,Caucasian,0,4,0,2,0,-1,2014-03-11 08:50:15,2014-03-12 10:45:26,14003431CF10A,2014-03-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-12,Risk of Violence,7,Medium,2014-03-12,2014-03-11,2014-03-12,0,0,751,0,0 +1212,rohneisha foy,rohneisha,foy,2013-08-12,Female,1991-08-07,24,Less than 25,African-American,0,5,0,0,1,0,2013-08-12 03:10:53,2013-08-12 08:45:43,13015230MM10A,2013-08-12,,0,M,Battery,1,14008243MM10A,(M2),0,2014-04-24,Exposes Culpable Negligence,2014-04-24,2014-04-25,,1,14008243MM10A,(M1),2014-04-24,Battery,Risk of Recidivism,5,Medium,2013-08-12,Risk of Violence,4,Low,2013-08-12,2014-04-24,2014-04-25,1,0,255,1,1 +1213,latasha blakegoodwin,latasha,blakegoodwin,2014-01-13,Female,1979-11-29,36,25 - 45,African-American,0,2,0,0,1,-1,2014-01-12 08:52:22,2014-01-13 08:36:10,14003627TC10A,2014-01-12,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-13,Risk of Violence,2,Low,2014-01-13,2014-01-12,2014-01-13,1,0,809,0,0 +1215,alfonso puello,alfonso,puello,2013-01-06,Male,1933-03-07,83,Greater than 45,Hispanic,0,1,0,0,0,0,2013-01-06 02:36:31,2013-01-07 01:32:52,13000312MM10A,2013-01-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2013-01-06,2013-01-07,0,1,1181,0,0 +1216,mitchell berlanga,mitchell,berlanga,2013-10-15,Male,1987-12-01,28,25 - 45,Caucasian,0,6,0,0,2,0,2013-10-15 01:07:08,2013-10-15 08:16:41,13014370CF10A,2013-10-14,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-15,Risk of Violence,6,Medium,2013-10-15,2013-10-15,2013-10-15,2,0,899,0,0 +1217,juwan justice,juwan,justice,2013-01-11,Male,1979-11-15,36,25 - 45,African-American,0,2,0,0,3,-1,2013-01-10 09:17:04,2013-01-11 09:26:16,13000448CF10A,2013-01-10,,1,F,Driving While License Revoked,1,14007544tc40a,(M2),,2014-01-22,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-10,2013-01-11,3,0,376,1,1 +1219,ebony jones,ebony,jones,2014-01-17,Female,1983-01-12,33,25 - 45,African-American,0,2,0,0,0,-1,2014-01-16 08:14:14,2014-01-18 01:21:05,14000961CF10A,2014-01-16,,1,M,Simulation of Legal Process,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-17,Risk of Violence,2,Low,2014-01-17,2014-01-16,2014-01-18,0,1,805,0,0 +1220,lewis lynn,lewis,lynn,2013-01-13,Male,1977-01-31,39,25 - 45,African-American,0,3,0,0,0,0,2013-01-13 05:35:49,2013-01-13 07:51:04,13000599CF10A,2013-01-13,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-13,Risk of Violence,2,Low,2013-01-13,2013-01-13,2013-01-13,0,0,1174,0,0 +1221,romoy ramdeen,romoy,ramdeen,2013-12-20,Male,1986-07-27,29,25 - 45,Other,0,7,0,0,3,0,2013-12-20 05:11:31,2013-12-20 08:47:51,13023502MM10A,2013-12-20,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-20,Risk of Violence,5,Medium,2013-12-20,2013-12-20,2013-12-20,3,0,833,0,0 +1222,whatley nordelus,whatley,nordelus,2013-08-16,Male,1986-03-19,30,25 - 45,African-American,0,10,0,0,17,-4,2013-08-12 09:38:58,2013-08-16 10:55:14,12005943CF10A,,2013-08-12,4,F,arrest case no charge,1,13016582CF10A,(F3),0,2013-11-30,Possession of Cocaine,2013-11-30,2014-04-11,,0,,,,,Risk of Recidivism,10,High,2013-08-16,Risk of Violence,5,Medium,2013-08-16,2013-11-30,2014-04-11,17,0,106,1,1 +1223,bailey greene,bailey,greene,2013-01-07,Female,1996-04-22,19,Less than 25,Caucasian,1,6,1,0,1,140,2013-05-27 02:53:50,2013-05-28 08:50:54,12023004MM10A,2012-09-29,,100,M,Operating W/O Valid License,1,13007558CF10A,(M1),1,2013-05-26,Battery,2013-05-27,2013-05-28,,1,13007558CF10A,(F3),2013-05-26,Aggravated Assault W/dead Weap,Risk of Recidivism,6,Medium,2013-01-07,Risk of Violence,8,High,2013-01-07,2013-05-27,2013-05-28,1,0,139,1,1 +1225,demetria jones,demetria,jones,2014-09-23,Male,1991-11-06,24,Less than 25,African-American,0,1,0,0,1,-1,2014-09-22 08:58:36,2014-09-23 02:01:46,14012830CF10A,,2014-09-22,1,F,arrest case no charge,1,15012545MM10A,(M1),0,2015-12-03,Petit Theft $100- $300,2015-12-03,2015-12-11,,0,,,,,Risk of Recidivism,1,Low,2014-09-23,Risk of Violence,2,Low,2014-09-23,2015-02-06,2015-04-06,1,0,136,0,1 +1227,ricardo rodriguez,ricardo,rodriguez,2013-06-11,Male,1979-12-20,36,25 - 45,Hispanic,0,7,0,0,11,-79,2013-03-24 12:57:37,2013-06-11 11:10:38,13004343CF10A,,2013-04-30,42,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-06-11,Risk of Violence,6,Medium,2013-06-11,2015-12-14,2015-12-17,11,0,916,0,0 +1228,bradey birdsong,bradey,birdsong,2014-02-13,Female,1986-06-18,29,25 - 45,Caucasian,0,5,0,0,1,,,,09011928CF10A,2009-06-25,,1694,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-13,Risk of Violence,5,Medium,2014-02-13,,,1,0,778,0,0 +1229,earnest wiley,earnest,wiley,2014-02-11,Male,1980-08-12,35,25 - 45,African-American,0,6,0,0,7,-1,2014-02-10 05:03:39,2014-02-11 08:51:34,14001896CF10A,2014-02-10,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-11,Risk of Violence,2,Low,2014-02-11,2014-02-10,2014-02-11,7,0,780,0,0 +1230,selvin lopez,selvin,lopez,2014-03-22,Male,1991-06-02,24,Less than 25,African-American,0,3,0,1,0,-1,2014-03-21 08:31:22,2014-03-22 08:04:13,14004035CF10A,2014-03-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-22,Risk of Violence,3,Low,2014-03-22,2014-03-21,2014-03-22,0,0,741,0,0 +1231,russell norman,russell,norman,2013-09-28,Male,1989-06-01,26,25 - 45,Caucasian,0,2,0,0,0,773,2015-11-10 03:24:25,2015-11-19 05:38:35,13018424MM10A,2013-09-27,,1,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-28,Risk of Violence,2,Low,2013-09-28,2015-11-10,2015-11-19,0,0,773,0,0 +1233,giovanni santiago,giovanni,santiago,2013-08-20,Male,1989-06-19,26,25 - 45,Caucasian,0,4,0,0,8,-1,2013-08-19 03:18:18,2013-08-21 05:06:23,13011612CF10A,,2013-08-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-20,Risk of Violence,4,Low,2013-08-20,2013-08-19,2013-08-21,8,1,955,0,0 +1234,john harris,john,harris,2013-09-16,Male,1963-10-05,52,Greater than 45,African-American,0,6,0,0,7,,,,13014884MM10A,2013-03-15,,185,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-16,Risk of Violence,1,Low,2013-09-16,2008-08-21,2011-05-12,7,0,928,0,0 +1235,derek fuller,derek,fuller,2013-03-20,Male,1987-10-21,28,25 - 45,African-American,0,7,0,0,14,-1,2013-03-19 11:58:58,2013-03-20 09:53:42,13003997CF10A,2013-03-19,,1,F,Fleeing or Eluding a LEO,1,14000392CF10A,(M1),0,2014-01-09,Resist/Obstruct W/O Violence,2014-01-09,2014-02-28,,1,14005324CF10A,(F1),2014-04-16,Agg Battery Law Enforc Officer,Risk of Recidivism,7,Medium,2013-03-20,Risk of Violence,8,High,2013-03-20,2014-01-09,2014-02-28,14,0,295,1,1 +1237,javon jacobs,javon,jacobs,2013-03-08,Male,1983-05-14,32,25 - 45,African-American,0,5,0,0,0,-1,2013-03-07 11:30:49,2013-03-08 02:03:41,13004627MM10A,2013-03-07,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-08,Risk of Violence,2,Low,2013-03-08,2013-03-07,2013-03-08,0,0,1120,0,0 +1238,sissy zayas,sissy,zayas,2014-08-17,Female,1983-06-15,32,25 - 45,Caucasian,0,3,0,0,1,-1,2014-08-16 12:35:59,2014-08-17 09:00:26,14012384MM10A,2014-08-16,,1,M,Battery,1,15005873MM10A,(M1),0,2015-05-13,Resist/Obstruct W/O Violence,2015-05-13,2015-05-14,,1,15006260CF10A,(F3),2015-05-13,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2014-08-17,Risk of Violence,1,Low,2014-08-17,2015-05-13,2015-05-14,1,0,269,1,1 +1239,jason bent,jason,bent,2013-01-27,Male,1983-01-10,33,25 - 45,African-American,0,8,0,0,5,0,2013-01-27 12:15:24,2013-02-02 08:07:19,13001865MM10A,2013-01-26,,1,M,Susp Drivers Lic 1st Offense,1,13019641TC10A,(M2),,2013-03-24,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,8,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2013-01-27,2013-02-02,5,6,56,1,1 +1240,tacaris mitchell,tacaris,mitchell,2013-04-11,Male,1986-10-10,29,25 - 45,African-American,0,10,1,0,16,-1,2013-04-10 04:38:27,2013-04-27 04:55:16,13005157CF10A,2013-04-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-11,Risk of Violence,7,Medium,2013-04-11,2015-06-08,2020-01-01,16,16,788,0,0 +1241,michael godfrey,michael,godfrey,2014-05-25,Male,1981-09-19,34,25 - 45,Caucasian,0,3,0,0,1,-1,2014-05-24 11:19:44,2014-05-25 09:30:19,14008370MM10A,2014-05-24,,1,M,Defrauding Innkeeper,1,14009458CF10A,(F3),0,2014-07-10,Grand Theft in the 3rd Degree,2014-07-10,2014-12-11,,0,,,,,Risk of Recidivism,3,Low,2014-05-25,Risk of Violence,2,Low,2014-05-25,2014-07-10,2014-12-11,1,0,46,1,1 +1242,ruth fullerton,ruth,fullerton,2013-04-30,Female,1978-07-13,37,25 - 45,Other,0,1,0,0,0,-1,2013-04-29 04:02:06,2013-04-30 01:16:46,13008306MM10A,2013-04-29,,1,M,Battery,1,13009228MM10A,(M1),0,2013-05-13,Viol Injunct Domestic Violence,2013-05-13,2013-05-14,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-05-13,2013-05-14,0,0,13,1,1 +1243,sean claesgens,sean,claesgens,2013-02-20,Male,1972-08-02,43,25 - 45,Caucasian,0,1,0,0,0,0,2013-02-20 01:44:52,2013-02-20 06:58:59,13003542MM10A,2013-02-20,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-20,2013-02-20,0,0,1136,0,0 +1244,james stearns,james,stearns,2014-03-24,Male,1968-04-27,47,Greater than 45,Caucasian,0,4,0,0,2,-3,2014-03-21 01:08:20,2014-03-21 09:18:44,14004865CF10A,2014-03-20,,4,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-24,Risk of Violence,5,Medium,2014-03-24,2014-03-21,2014-03-21,2,0,739,0,0 +1246,akeem hyatt,akeem,hyatt,2014-02-23,Male,1990-08-14,25,25 - 45,African-American,0,6,0,0,3,0,2014-02-23 03:11:30,2014-02-25 04:19:24,14003146MM10A,2014-02-23,,0,M,Battery,1,15010628CF10A,(F3),,2014-12-31,False Ownership Info/Pawn Item,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-23,Risk of Violence,5,Medium,2014-02-23,2014-02-23,2014-02-25,3,2,311,1,1 +1247,keaira meilleur,keaira,meilleur,2013-05-17,Female,1992-07-28,23,Less than 25,African-American,0,3,0,0,1,-1,2013-05-16 06:54:16,2013-05-18 06:20:12,13007007CF10A,,2013-05-16,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-17,Risk of Violence,3,Low,2013-05-17,2013-05-16,2013-05-18,1,1,1050,0,0 +1248,mircea marton,mircea,marton,2013-09-04,Male,1976-06-07,39,25 - 45,Caucasian,0,2,0,0,2,-1,2013-09-03 11:32:26,2013-09-04 02:17:38,13016877MM10A,2013-09-03,,1,M,Battery,1,15063407TC40A,(M2),,2015-09-29,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-04,Risk of Violence,2,Low,2013-09-04,2013-09-03,2013-09-04,2,0,755,1,0 +1250,darryl yearby,darryl,yearby,2013-09-09,Male,1980-07-22,35,25 - 45,African-American,0,8,0,0,13,-1,2013-09-08 08:07:52,2013-09-13 09:19:10,13012699CF10A,2013-09-08,,1,F,Possession of Cocaine,1,14003990CF10A,(F3),1,2014-03-20,Possession of Cocaine,2014-03-21,2014-05-31,,0,,,,,Risk of Recidivism,8,High,2013-09-09,Risk of Violence,7,Medium,2013-09-09,2013-09-08,2013-09-13,13,4,192,1,1 +1252,emmanuel philogene,emmanuel,philogene,2013-08-21,Male,1982-12-18,33,25 - 45,Other,0,1,0,0,0,-1,2013-08-20 01:28:52,2013-08-21 07:36:34,13011699CF10A,,2013-08-20,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-21,Risk of Violence,2,Low,2013-08-21,2013-11-09,2013-11-26,0,0,80,0,0 +1253,romario james,romario,james,2013-03-31,Male,1995-01-02,21,Less than 25,Other,0,3,0,0,0,-1,2013-03-30 03:21:05,2013-03-31 07:12:30,13004601CF10A,2013-03-30,,1,F,Grand Theft of a Fire Extinquisher,1,13007664MM10A,(M2),0,2013-04-20,Prowling/Loitering,2013-04-20,2013-04-21,,1,15001010CF10A,(F1),2015-01-22,Robbery W/Firearm,Risk of Recidivism,3,Low,2013-03-31,Risk of Violence,7,Medium,2013-03-31,2013-04-20,2013-04-21,0,0,20,1,1 +1254,anthony freeman,anthony,freeman,2013-01-29,Male,1972-08-23,43,25 - 45,African-American,1,8,0,0,20,0,2013-01-29 02:25:12,2013-01-30 04:16:41,13002627CF10A,2013-01-29,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-29,Risk of Violence,4,Low,2013-01-29,2013-03-21,2013-04-13,20,1,51,0,0 +1255,derek mcnair,derek,mcnair,2013-08-15,Male,1991-03-30,25,25 - 45,African-American,0,8,1,1,3,-1,2013-08-14 07:48:42,2013-08-15 07:42:50,13011422CF10A,2013-08-14,,1,F,Fighting/Baiting Animals,1,14014319CF10A,(F3),,2014-08-19,Aggrav Stalking After Injunctn,,,,1,14014319CF10A,(F3),2014-08-29,Burglary With Assault/battery,Risk of Recidivism,8,High,2013-08-15,Risk of Violence,9,High,2013-08-15,2015-08-24,2015-09-02,3,0,369,1,1 +1256,john mcfadden,john,mcfadden,2014-03-19,Male,1968-01-03,48,Greater than 45,African-American,1,10,0,0,25,-1,2014-03-18 03:28:44,2014-03-24 11:54:07,14003785CF10A,,2014-03-18,1,F,arrest case no charge,1,14008632CF10A,(F1),-1,2014-06-21,Sexual Battery Victim 12 Yrs +,2014-06-20,2014-07-04,,1,14008632CF10A,(F2),2014-06-21,Agg Battery Grt/Bod/Harm,Risk of Recidivism,10,High,2014-03-19,Risk of Violence,9,High,2014-03-19,2014-04-06,2014-04-10,25,5,18,0,1 +1257,michael davis,michael,davis,2013-01-01,Male,1993-11-08,22,Less than 25,African-American,0,7,0,1,1,28,2013-01-29 05:28:37,2013-01-30 09:38:30,13000021MM10A,2012-12-31,,1,M,Battery,1,13001421CF10A,(F3),0,2013-01-29,Tampering With Physical Evidence,2013-01-29,2013-01-30,,1,15004778MM10A,(M1),2015-04-27,Battery,Risk of Recidivism,7,Medium,2013-01-01,Risk of Violence,9,High,2013-01-01,2013-01-29,2013-01-30,1,0,28,1,1 +1258,charles dixon,charles,dixon,2013-04-08,Male,1964-02-14,52,Greater than 45,African-American,1,8,0,0,9,-1,2013-04-07 05:45:06,2013-05-16 03:57:24,13006659MM10A,2013-04-07,,1,M,Battery,1,13008294CF10A,(F1),0,2013-06-11,Robbery / Weapon,2013-06-11,2013-10-29,,1,13008294CF10A,(F3),2013-06-11,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-06-11,2013-10-29,9,38,64,1,1 +1259,philip milton,philip,milton,2014-09-09,Male,1990-02-22,26,25 - 45,Caucasian,0,4,0,0,5,-1,2014-09-08 04:18:58,2014-10-13 09:23:06,14012245CF10A,2014-09-08,,1,F,Possession of Cocaine,1,15006502CF10A,(F3),0,2015-05-19,Grand Theft in the 3rd Degree,2015-05-19,2015-06-02,,1,15010738CF10A,(F2),2015-08-19,Robbery / No Weapon,Risk of Recidivism,4,Low,2014-09-09,Risk of Violence,3,Low,2014-09-09,2015-01-07,2015-01-23,5,34,120,0,1 +1260,sandy shaw,sandy,shaw,2014-06-15,Male,1948-12-12,67,Greater than 45,African-American,0,7,0,0,4,-1,2014-06-14 11:48:52,2014-07-12 08:22:27,14008244CF10A,2014-06-14,,1,M,Grand Theft in the 3rd Degree,1,14012868MM10A,(M1),0,2014-07-31,Trespass/Property/Other Structure,2014-07-31,2014-08-19,,0,,,,,Risk of Recidivism,7,Medium,2014-06-15,Risk of Violence,7,Medium,2014-06-15,2014-07-31,2014-08-19,4,27,46,1,1 +1261,carl lovett,carl,lovett,2013-04-17,Male,1982-01-05,34,25 - 45,African-American,0,2,0,0,4,-1,2013-04-16 07:26:38,2013-04-17 07:39:37,11019592MM10A,,2013-04-16,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-17,Risk of Violence,2,Low,2013-04-17,2013-04-16,2013-04-17,4,0,1080,0,0 +1262,justin mccarthy,justin,mccarthy,2013-04-12,Male,1960-01-25,56,Greater than 45,Caucasian,0,1,0,0,4,-1,2013-04-11 02:03:09,2013-04-11 08:11:12,13006988MM10A,2013-04-10,,2,M,Disorderly Intoxication,1,15021106MU10A,(M1),0,2015-07-18,Driving Under The Influence,2015-07-18,2015-07-18,,0,,,,,Risk of Recidivism,1,Low,2013-04-12,Risk of Violence,1,Low,2013-04-12,2015-07-18,2015-07-18,4,0,827,0,0 +1268,terrence pitts,terrence,pitts,2013-03-31,Male,1987-08-12,28,25 - 45,African-American,0,4,0,0,1,-1,2013-03-30 05:46:06,2013-04-04 10:51:53,13004590CF10A,2013-03-29,,2,F,Possession of Cannabis,1,13013120CF10A,(F2),0,2013-09-17,Utilizing Juvenile to Deliver,2013-09-17,2014-03-01,,0,,,,,Risk of Recidivism,4,Low,2013-03-31,Risk of Violence,5,Medium,2013-03-31,2013-09-17,2014-03-01,1,4,170,1,1 +1269,christopher bowers,christopher,bowers,2014-01-03,Male,1986-09-27,29,25 - 45,African-American,0,4,0,0,2,-1,2014-01-02 08:25:01,2014-01-03 01:41:59,14000092MM10A,2014-01-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-03,Risk of Violence,5,Medium,2014-01-03,2014-01-02,2014-01-03,2,0,819,0,0 +1271,diana ajayi,diana,ajayi,2013-11-01,Female,1991-10-24,24,Less than 25,African-American,0,5,0,0,0,,,,,,,,M,,1,14077252TC30A,(M2),,2014-09-11,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-01,Risk of Violence,6,Medium,2013-11-01,2014-03-23,2014-03-24,0,0,142,0,1 +1272,christopher douglas,christopher,douglas,2014-10-20,Male,1978-11-29,37,25 - 45,African-American,0,5,0,0,6,-1,2014-10-19 07:36:23,2014-11-08 12:14:28,14014116CF10A,2014-10-19,,1,F,Felony Petit Theft,1,15000351MM20A,(M2),,2015-01-23,Petit Theft,,,,1,15002624MM10A,(M1),2015-03-04,Battery,Risk of Recidivism,5,Medium,2014-10-20,Risk of Violence,2,Low,2014-10-20,2014-12-07,2014-12-20,6,19,48,0,1 +1274,umar farooq,umar,farooq,2013-05-06,Male,1973-03-19,43,25 - 45,Other,0,2,0,0,3,-1,2013-05-05 07:01:38,2013-05-06 07:43:11,13006447CF10A,2013-05-05,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,2,Low,2013-05-06,2013-05-05,2013-05-06,3,0,1061,0,0 +1275,gregg diprima,gregg,diprima,2013-12-03,Male,1965-02-26,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-02 04:36:30,2013-12-03 10:21:46,13016672CF10A,2013-12-02,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2013-12-02,2013-12-03,0,0,850,0,0 +1276,damani brown,damani,brown,2014-06-02,Male,1995-07-01,20,Less than 25,African-American,0,7,0,1,1,-2,2014-05-31 12:15:17,2014-06-01 08:19:06,14008700MM10A,2014-05-31,,2,M,Possess Cannabis/20 Grams Or Less,1,14012521CF10A,(F3),0,2014-09-15,Pos Cannabis W/Intent Sel/Del,2014-09-15,2014-09-19,,0,,,,,Risk of Recidivism,7,Medium,2014-06-02,Risk of Violence,7,Medium,2014-06-02,2014-09-15,2014-09-19,1,0,105,1,1 +1280,joseph griffith,joseph,griffith,2014-01-29,Male,1989-06-24,26,25 - 45,Caucasian,0,7,0,0,4,0,2014-01-29 04:01:47,2014-11-18 06:28:58,14001613MM10A,2014-01-29,,0,M,Viol Injunct Domestic Violence,1,15010666MM10A,(M1),,2015-10-11,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-29,Risk of Violence,4,Low,2014-01-29,2014-11-18,2015-09-01,4,580,620,1,1 +1281,amy fisher,amy,fisher,2014-11-24,Female,1976-06-28,39,25 - 45,Caucasian,0,2,0,0,1,-1,2014-11-23 04:50:48,2014-12-03 05:11:12,14016695MM10A,2014-11-23,,1,M,Battery,1,15011047MO10A,(MO3),0,2015-10-22,Lewd/Assignation/Prostitution,2015-10-22,2015-10-23,,0,,,,,Risk of Recidivism,2,Low,2014-11-24,Risk of Violence,1,Low,2014-11-24,2015-10-22,2015-10-23,1,9,332,1,1 +1282,moise alceus,moise,alceus,2014-03-22,Male,1994-11-18,21,Less than 25,African-American,0,8,0,1,1,-1,2014-03-21 01:15:52,2014-03-23 04:21:27,14003834CF10A,,2014-03-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-22,Risk of Violence,7,Medium,2014-03-22,2014-03-21,2014-03-23,1,1,741,0,0 +1283,kenneth weekley,kenneth,weekley,2013-04-23,Male,1994-07-15,21,Less than 25,African-American,0,9,1,1,1,-1,2013-04-22 09:32:59,2013-04-25 03:58:52,13005749CF10A,2013-04-22,,1,F,Att Burgl Conv Occp,1,13010245MM10A,(M2),0,2013-05-28,Petit Theft,2013-05-28,2013-07-25,,0,,,,,Risk of Recidivism,9,High,2013-04-23,Risk of Violence,6,Medium,2013-04-23,2013-05-28,2013-07-25,1,2,35,1,1 +1286,shawn jaakson,shawn,jaakson,2013-04-06,Male,1991-06-21,24,Less than 25,Caucasian,0,4,2,0,3,-1,2013-04-05 07:02:50,2013-04-06 09:51:37,13004895CF10A,2013-04-05,,1,F,Driving While License Revoked,1,13010702MM10A,(M1),0,2013-05-22,Possess Cannabis/20 Grams Or Less,2013-05-22,2013-05-23,,0,,,,,Risk of Recidivism,4,Low,2013-04-06,Risk of Violence,4,Low,2013-04-06,2013-05-22,2013-05-23,3,0,46,1,1 +1290,steven coney,steven,coney,2013-04-06,Male,1989-08-02,26,25 - 45,African-American,0,8,1,0,4,-1,2013-04-05 06:54:28,2013-04-06 07:37:58,13006585MM10A,2013-04-05,,1,M,Battery,1,13025171TC10A,(M2),1,2013-05-26,Unlaw LicTag/Sticker Attach,2013-05-27,2013-05-28,,1,13018515MM10A,(M1),2013-09-29,Battery,Risk of Recidivism,8,High,2013-04-06,Risk of Violence,9,High,2013-04-06,2013-11-23,2013-11-24,4,0,50,1,1 +1292,anthony anello,anthony,anello,2013-05-28,Male,1968-01-19,48,Greater than 45,Caucasian,0,2,0,0,1,0,2013-05-28 05:20:53,2013-05-29 01:36:35,13007601CF10A,2013-05-28,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-08-08,2013-09-11,1,1,72,0,0 +1293,zachary whalen,zachary,whalen,2014-03-29,Male,1991-09-03,24,Less than 25,African-American,0,5,1,0,5,-1,2014-03-28 08:28:57,2014-03-30 04:48:35,14004381CF10A,2014-03-28,,1,F,Pos Cannabis W/Intent Sel/Del,1,15016326CF10A,(M1),0,2015-12-22,,2015-12-22,2015-12-23,,0,,,,,Risk of Recidivism,5,Medium,2014-03-29,Risk of Violence,4,Low,2014-03-29,2015-12-22,2015-12-23,5,1,633,1,1 +1295,rhys swan,rhys,swan,2014-03-16,Male,1989-12-08,26,25 - 45,Caucasian,0,4,0,0,0,0,2014-03-16 01:47:02,2014-03-16 01:29:25,14003659CF10A,2014-03-16,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-16,Risk of Violence,3,Low,2014-03-16,2014-03-16,2014-03-16,0,0,747,0,0 +1296,darrin hill,darrin,hill,2013-09-06,Male,1969-11-14,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-05 08:34:14,2013-09-06 08:59:40,13012541CF10A,2013-09-05,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-05,2013-09-06,0,0,938,0,0 +1297,maria martinez,maria,martinez,2013-02-25,Female,1985-09-04,30,25 - 45,Hispanic,0,2,0,0,1,,,,13002754CF10A,2013-02-22,,3,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,,,1,0,1131,0,0 +1298,christopher mejia,christopher,mejia,2013-05-09,Male,1991-07-08,24,Less than 25,African-American,0,9,1,1,7,-1,2013-05-08 07:17:42,2013-05-09 08:54:08,13008923MM10A,2013-05-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-09,Risk of Violence,7,Medium,2013-05-09,2014-04-07,2014-04-17,7,0,333,0,0 +1300,stephanie jacobs,stephanie,jacobs,2013-04-30,Female,1995-01-06,21,Less than 25,Caucasian,0,5,0,0,0,-1,2013-04-29 05:05:43,2013-04-30 01:18:50,13008295MM10A,2013-04-29,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-30,Risk of Violence,7,Medium,2013-04-30,2013-04-29,2013-04-30,0,0,1067,0,0 +1303,travis joseph,travis,joseph,2013-01-09,Male,1991-05-25,24,Less than 25,African-American,0,3,0,0,1,-1,2013-01-08 01:30:33,2013-01-09 12:44:02,12013129CF10A,,2013-01-08,1,F,arrest case no charge,1,14006980MM10A,(M2),0,2014-04-27,Petit Theft,2014-04-27,2014-05-15,,0,,,,,Risk of Recidivism,3,Low,2013-01-09,Risk of Violence,5,Medium,2013-01-09,2014-04-27,2014-05-15,1,0,473,1,1 +1304,marques brinson,marques,brinson,2014-03-10,Male,1986-03-16,30,25 - 45,African-American,0,7,0,0,1,,,,12010613CF10A,,2012-07-19,599,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-10,Risk of Violence,5,Medium,2014-03-10,,,1,0,753,0,0 +1305,johnnie blade,johnnie,blade,2013-02-13,Male,1979-06-01,36,25 - 45,African-American,0,8,0,0,9,0,2013-02-13 12:13:45,2013-02-15 09:20:16,13003127MM10A,2013-02-12,,1,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-13,Risk of Violence,2,Low,2013-02-13,2014-02-11,2014-03-14,9,2,363,0,0 +1306,ronel desinor,ronel,desinor,2013-01-30,Male,1985-10-12,30,25 - 45,African-American,0,4,0,0,5,-1,2013-01-29 08:02:14,2013-01-30 09:05:26,13001423CF10A,2013-01-29,,1,F,Deliver Cocaine,1,13009034CF10A,(F6),51,2013-05-05,Murder in the First Degree,2013-06-25,2015-08-27,,1,13009034CF10A,(F6),2013-05-05,Murder in the First Degree,Risk of Recidivism,4,Low,2013-01-30,Risk of Violence,3,Low,2013-01-30,2015-08-27,2020-01-01,5,0,95,1,1 +1310,danielle slocum,danielle,slocum,2013-07-02,Female,1993-08-27,22,Less than 25,Caucasian,0,6,0,0,1,-23,2013-06-09 02:13:11,2013-06-11 01:19:51,13008181CF10A,2013-06-09,,23,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-02,Risk of Violence,7,Medium,2013-07-02,2015-01-07,2015-01-08,1,0,554,0,0 +1313,raphael ramos,raphael,ramos,2013-02-09,Male,1991-03-24,25,25 - 45,African-American,0,9,0,0,0,-1,2013-02-08 08:15:01,2013-02-18 08:07:07,13002002CF10A,2013-02-08,,1,F,Depriv LEO of Protect/Communic,1,13005513CF10A,(F3),0,2013-04-17,Threat Public Servant,2013-04-17,2013-05-08,,1,13005513CF10A,(F3),2013-04-17,Threat Public Servant,Risk of Recidivism,9,High,2013-02-09,Risk of Violence,8,High,2013-02-09,2013-04-17,2013-05-08,0,9,67,1,1 +1314,dwayne mcgill,dwayne,mcgill,2013-05-06,Male,1984-07-15,31,25 - 45,African-American,0,8,3,0,25,-1,2013-05-05 08:28:33,2013-08-31 05:37:04,13008676MM10A,2013-05-05,,1,M,Resist/Obstruct W/O Violence,1,14000226MM10A,(M1),0,2014-01-06,Resist/Obstruct W/O Violence,2014-01-06,2014-03-21,,0,,,,,Risk of Recidivism,8,High,2013-05-06,Risk of Violence,7,Medium,2013-05-06,2014-01-06,2014-03-21,25,117,245,1,1 +1315,dennis holmes,dennis,holmes,2013-04-25,Male,1992-02-05,24,Less than 25,African-American,0,4,0,0,0,-1,2013-04-24 04:48:41,2013-04-26 08:16:49,13005880CF10A,2013-04-24,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-25,Risk of Violence,5,Medium,2013-04-25,2014-06-23,2014-07-29,0,1,424,0,0 +1318,rasean collier,rasean,collier,2013-09-25,Male,1976-08-20,39,25 - 45,African-American,0,8,0,0,13,-1,2013-09-24 05:14:32,2013-09-26 04:15:46,13013435CF10A,2013-09-24,,1,F,Burglary Conveyance Unoccup,1,15011067CF10A,(F3),,2015-05-03,Felony Battery w/Prior Convict,,,,1,15011067CF10A,(F3),2015-05-03,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2013-09-25,Risk of Violence,6,Medium,2013-09-25,2014-01-30,2014-01-30,13,1,127,0,1 +1320,mohammed ahmed,mohammed,ahmed,2013-09-20,Male,1969-11-28,46,Greater than 45,Other,0,1,0,0,0,-1,2013-09-19 09:16:58,2013-09-24 12:07:46,13013223CF10A,2013-09-19,,1,F,Delivery of 5-Fluoro PB-22,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-12-04,2013-12-05,0,4,75,0,0 +1321,freddie bush,freddie,bush,2013-01-02,Male,1967-07-31,48,Greater than 45,African-American,0,1,0,0,5,,,,12026154MM10A,2012-12-24,,9,M,Open Carrying Of Weapon,1,14005304TC10A,(M1),,2014-01-26,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,2,Low,2013-01-02,,,5,0,389,1,1 +1323,marquita weal,marquita,weal,2013-03-06,Female,1985-12-02,30,25 - 45,African-American,0,3,0,0,4,-5,2013-03-01 09:18:41,2013-03-02 01:22:32,13003141CF10A,2013-03-01,,5,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-06,Risk of Violence,3,Low,2013-03-06,2013-03-14,2013-03-15,4,0,8,0,0 +1324,daniele santos,daniele,santos,2013-04-10,Male,1976-04-16,40,25 - 45,Caucasian,0,2,0,0,0,0,2013-04-10 01:58:49,2013-05-02 08:37:47,13005196CF10A,2013-04-10,,0,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,1,Low,2013-04-10,2013-04-10,2013-05-02,0,22,1087,0,0 +1325,deneen brown,deneen,brown,2014-01-17,Female,1964-04-19,52,Greater than 45,African-American,0,1,0,0,0,-1,2014-01-16 01:59:29,2014-01-18 12:04:19,14000711CF10A,2014-01-16,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-17,Risk of Violence,1,Low,2014-01-17,2014-01-16,2014-01-18,0,1,805,0,0 +1326,garfield sewell,garfield,sewell,2013-01-31,Male,1992-09-09,23,Less than 25,African-American,1,9,0,1,3,-1,2013-01-30 10:05:42,2013-03-05 01:14:58,13001476CF10A,2013-01-30,,1,F,Grand Theft Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-31,Risk of Violence,10,High,2013-01-31,2015-10-13,2015-12-07,3,33,985,0,0 +1328,dyesha coleman,dyesha,coleman,2013-09-09,Female,1989-09-07,26,25 - 45,African-American,0,2,0,0,1,-1,2013-09-08 05:10:12,2013-09-09 08:57:08,13017087MM10A,2013-09-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,2,Low,2013-09-09,2013-09-08,2013-09-09,1,0,935,0,0 +1329,jonathan christman,jonathan,christman,2013-08-28,Male,1994-03-29,22,Less than 25,Caucasian,0,8,1,0,1,-1,2013-08-27 07:41:51,2013-09-16 06:38:04,13012104CF10A,2013-08-27,,1,F,Grand Theft in the 3rd Degree,1,15005498MM10A,(M1),0,2015-05-19,Resist/Obstruct W/O Violence,2015-05-19,2015-11-13,,0,,,,,Risk of Recidivism,8,High,2013-08-28,Risk of Violence,6,Medium,2013-08-28,2013-11-15,2013-11-26,1,19,79,0,1 +1330,thomas herring,thomas,herring,2013-01-27,Male,1973-04-23,42,25 - 45,Caucasian,0,4,0,0,3,0,2013-01-27 05:19:10,2013-01-28 02:50:43,13001324CF10A,2013-01-27,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-27,Risk of Violence,2,Low,2013-01-27,2015-11-23,2015-11-30,3,1,1030,0,0 +1331,jamal smart,jamal,smart,2013-04-23,Male,1992-07-13,23,Less than 25,African-American,0,10,3,1,6,-1,2013-04-22 07:18:14,2013-09-05 06:32:22,13005739CF10A,2013-04-22,,1,F,Burglary Conveyance Unoccup,1,16000775CF10A,(F3),0,2016-01-19,Grand Theft in the 3rd Degree,2016-01-19,2016-01-21,,0,,,,,Risk of Recidivism,10,High,2013-04-23,Risk of Violence,6,Medium,2013-04-23,2016-01-19,2016-01-21,6,666,1001,1,1 +1332,william gray,william,gray,2014-01-24,Male,1982-11-01,33,25 - 45,Other,0,3,0,0,4,-1,2014-01-23 08:20:35,2014-01-25 04:12:43,14000976CF10A,2014-01-23,,1,F,Pos Cannabis For Consideration,1,14009439CF10A,(F3),0,2014-03-23,"Poss3,4 Methylenedioxymethcath",2014-03-23,2014-03-23,,0,,,,,Risk of Recidivism,3,Low,2014-01-24,Risk of Violence,2,Low,2014-01-24,2014-03-23,2014-03-23,4,1,58,0,1 +1334,jeffery holston,jeffery,holston,2014-01-14,Male,1987-06-20,28,25 - 45,African-American,0,3,0,0,1,-1,2014-01-13 07:36:34,2014-01-15 11:05:00,14000564CF10A,,2014-01-13,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-14,Risk of Violence,2,Low,2014-01-14,2014-01-13,2014-01-15,1,1,808,0,0 +1335,jacquelyn park,jacquelyn,park,2013-02-26,Female,1979-03-14,37,25 - 45,Caucasian,0,4,0,0,4,,,,12019905MM10A,2012-09-25,,154,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-26,Risk of Violence,2,Low,2013-02-26,,,4,0,1130,0,0 +1336,sam mitchell,sam,mitchell,2013-03-16,Male,1965-07-26,50,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-03-15 07:13:52,2013-03-16 09:30:06,13003328CF10A,2010-11-20,,847,F,Crim Use of Personal ID Info,1,15020844TC20A,(M2),,2015-04-01,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-16,Risk of Violence,1,Low,2013-03-16,2013-03-15,2013-03-16,1,0,746,1,0 +1341,patrick doctor,patrick,doctor,2013-10-25,Male,1978-01-17,38,25 - 45,Native American,0,10,0,1,25,-172,2013-05-06 03:29:46,2013-05-14 09:41:10,13008752MM10A,2013-05-06,,172,M,Assault,1,14016591CF10A,(F3),1,2014-12-14,Possession of Cocaine,2014-12-15,2014-12-20,,0,,,,,Risk of Recidivism,10,High,2013-10-25,Risk of Violence,7,Medium,2013-10-25,2014-12-29,2015-01-06,25,0,415,1,1 +1342,tony woodberry,tony,woodberry,2014-03-01,Male,1983-12-01,32,25 - 45,African-American,0,7,0,0,1,-1,2014-02-28 05:05:08,2014-03-01 10:44:41,14000591CF10A,,2014-02-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-01,Risk of Violence,2,Low,2014-03-01,2014-02-28,2014-03-01,1,0,762,0,0 +1343,charlie reyes,charlie,reyes,2014-02-23,Male,1992-02-02,24,Less than 25,Hispanic,0,6,0,0,3,-1,2014-02-22 06:42:04,2014-05-31 05:40:39,14002548CF10A,2014-02-22,,1,F,Burglary Conveyance Unoccup,1,15006682MM10A,(M2),0,2015-06-21,Trespass Structure/Conveyance,2015-06-21,2015-07-09,,0,,,,,Risk of Recidivism,6,Medium,2014-02-23,Risk of Violence,6,Medium,2014-02-23,2015-06-21,2015-07-09,3,97,483,1,1 +1344,daryle mckever,daryle,mckever,2014-01-29,Male,1964-05-11,51,Greater than 45,African-American,0,2,0,0,3,-1,2014-01-28 04:06:13,2014-01-29 09:09:45,14001238CF10A,2014-01-28,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-29,Risk of Violence,1,Low,2014-01-29,2014-01-28,2014-01-29,3,0,793,0,0 +1345,anthony macias,anthony,macias,2014-08-01,Male,1996-06-03,19,Less than 25,Caucasian,0,4,0,0,1,-1,2014-07-31 10:29:36,2014-08-01 01:52:23,14011663MM10A,2014-07-31,,1,M,Battery,1,14014337CF10A,(F3),1,2014-10-23,Possession Of Alprazolam,2014-10-24,2014-10-24,,0,,,,,Risk of Recidivism,4,Low,2014-08-01,Risk of Violence,7,Medium,2014-08-01,2016-03-04,2016-03-05,1,0,83,1,1 +1346,xavier copeland,xavier,copeland,2013-10-22,Male,1983-11-13,32,25 - 45,African-American,0,5,0,0,4,0,2013-10-22 04:13:12,2014-02-07 04:46:43,13014764CF10A,,2013-10-22,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-22,Risk of Violence,2,Low,2013-10-22,2013-10-22,2014-02-07,4,108,892,0,0 +1347,heather terjesen,heather,terjesen,2013-08-02,Female,1984-09-13,31,25 - 45,Caucasian,0,3,0,0,1,-22,2013-07-11 01:09:16,2013-07-11 07:24:20,13009653CF10A,2013-07-10,,23,F,Possession of Cocaine,1,13019400MM10A,(M1),0,2013-10-13,Driving Under The Influence,2013-10-13,2013-10-13,,0,,,,,Risk of Recidivism,3,Low,2013-08-02,Risk of Violence,3,Low,2013-08-02,2013-10-13,2013-10-13,1,0,72,0,1 +1348,nikesha young,nikesha,young,2013-08-14,Female,1986-05-04,29,25 - 45,African-American,0,5,0,0,1,7,2013-08-21 12:34:09,2014-02-17 03:11:38,10002822CF10A,,2013-03-21,146,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-14,Risk of Violence,4,Low,2013-08-14,2013-08-21,2014-02-17,1,0,7,0,0 +1349,armando frias,armando,frias,2013-09-21,Male,1972-04-30,43,25 - 45,Hispanic,0,1,0,0,0,-1,2013-09-20 10:07:27,2013-09-21 08:40:20,13017971MM10A,2013-09-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-21,Risk of Violence,1,Low,2013-09-21,2013-09-20,2013-09-21,0,0,923,0,0 +1351,dionte moore,dionte,moore,2013-01-30,Male,1989-12-28,26,25 - 45,African-American,0,7,0,0,9,-1,2013-01-29 07:56:52,2013-02-09 12:41:02,13001410CF10A,2013-01-29,,1,F,Driving While License Revoked,1,13014307MM10A,(M1),1,2013-07-28,Battery,2013-07-29,2013-09-17,,1,13014307MM10A,(M1),2013-07-28,Battery,Risk of Recidivism,7,Medium,2013-01-30,Risk of Violence,7,Medium,2013-01-30,2013-04-30,2013-05-14,9,10,90,0,1 +1352,steven mcafee,steven,mcafee,2013-02-05,Male,1989-02-11,27,25 - 45,Caucasian,0,10,0,0,0,-1,2013-02-04 11:00:16,2013-03-04 05:47:34,13001734CF10A,2013-02-04,,1,F,Uttering Forged Bills,1,13014056CF10A,(F1),0,2013-10-07,Trafficking In Cocaine 28><200,2013-10-07,2014-03-27,,0,,,,,Risk of Recidivism,10,High,2013-02-05,Risk of Violence,5,Medium,2013-02-05,2013-10-07,2014-03-27,0,27,244,1,1 +1353,charles cavey,charles,cavey,2014-12-02,Male,1963-06-24,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-12-01 08:42:05,2014-12-04 08:50:02,14016019CF10A,2014-12-01,,1,F,Burglary Conveyance Unoccup,1,15000140CF10A,(F3),0,2015-01-04,Burglary Conveyance Unoccup,2015-01-04,2015-02-20,,0,,,,,Risk of Recidivism,1,Low,2014-12-02,Risk of Violence,1,Low,2014-12-02,2015-01-04,2015-02-20,1,2,33,1,1 +1354,hector contreras,hector,contreras,2014-03-03,Male,1989-02-11,27,25 - 45,Hispanic,0,1,0,0,1,-1,2014-03-02 07:59:01,2014-03-03 02:03:23,11007679TC40A,2011-02-04,,1123,M,Expired DL More Than 6 Months,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,2,Low,2014-03-03,2014-03-02,2014-03-03,1,0,760,0,0 +1356,gina paez,gina,paez,2013-05-13,Female,1958-07-28,57,Greater than 45,Hispanic,0,2,0,0,1,-1,2013-05-12 10:44:04,2013-05-13 01:07:10,13009141MM10A,2013-05-05,,8,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-13,1,0,1054,0,0 +1358,willie smith,willie,smith,2013-02-17,Male,1988-01-02,28,25 - 45,African-American,0,6,0,0,3,-1,2013-02-16 06:36:46,2013-02-18 02:26:09,12026166MM10A,,2013-02-16,1,M,arrest case no charge,1,13002838CF10A,(F2),0,2013-02-24,Burglary Unoccupied Dwelling,2013-02-24,2013-04-24,,0,,,,,Risk of Recidivism,6,Medium,2013-02-17,Risk of Violence,3,Low,2013-02-17,2013-02-24,2013-04-24,3,1,7,1,1 +1360,michelet orisme,michelet,orisme,2013-11-19,Male,1983-07-20,32,25 - 45,African-American,0,1,0,0,3,-1,2013-11-18 10:28:15,2013-11-21 05:15:36,13016023CF10A,2013-11-18,,1,F,Burglary Unoccupied Dwelling,1,14044073TC20A,(M2),,2014-06-10,Unlaw LicTag/Sticker Attach,,,,1,15004977CF10A,(F3),2015-03-29,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2013-11-19,Risk of Violence,2,Low,2013-11-19,2013-11-18,2013-11-21,3,2,203,1,1 +1361,allen wyche,allen,wyche,2013-05-16,Male,1988-08-07,27,25 - 45,African-American,0,3,0,0,5,0,2013-05-16 02:29:24,2013-05-16 08:42:12,13022696TC10A,2013-05-04,,12,M,Expired DL More Than 6 Months,1,14006453TC30A,(M2),89,2014-01-13,Driving License Suspended,2014-04-12,2014-04-13,,0,,,,,Risk of Recidivism,3,Low,2013-05-16,Risk of Violence,2,Low,2013-05-16,2016-03-14,2016-03-22,5,0,242,1,1 +1363,jose villalta,jose,villalta,2013-10-05,Male,1971-03-19,45,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-10-04 01:33:39,2013-10-07 09:18:39,13018918MM10A,2013-10-04,,1,M,Stalking,1,14006324TC10A,(M2),,2014-01-21,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-05,Risk of Violence,1,Low,2013-10-05,2013-10-04,2013-10-07,0,2,108,1,1 +1366,nora demmert,nora,demmert,2013-11-19,Female,1973-10-30,42,25 - 45,Caucasian,0,1,0,0,0,0,2013-11-19 03:21:39,2013-11-19 08:57:44,13021759MM10A,2013-11-19,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-19,Risk of Violence,1,Low,2013-11-19,2013-11-19,2013-11-19,0,0,864,0,0 +1367,walker lovinsky,walker,lovinsky,2014-03-02,Male,1983-04-13,33,25 - 45,African-American,0,2,0,0,0,-1,2014-03-01 04:48:17,2014-03-02 03:58:29,14002918CF10A,2014-03-01,,1,F,Felony Driving While Lic Suspd,1,15003040CF10A,(F3),0,2015-03-04,Possession of Cannabis,2015-03-04,2015-03-05,,0,,,,,Risk of Recidivism,2,Low,2014-03-02,Risk of Violence,1,Low,2014-03-02,2015-03-04,2015-03-05,0,0,367,1,1 +1368,anthony grab,anthony,grab,2013-07-03,Male,1989-07-31,26,25 - 45,Caucasian,0,4,0,0,4,-52,2013-05-12 05:57:19,2013-05-31 06:08:17,13009157MM10A,2013-05-12,,52,M,Battery,1,15010874CF10A,(M1),0,2015-08-23,Refuse Submit Blood/Breath Test,2015-08-23,2015-08-25,,1,15010874CF10A,(F2),2015-08-23,Agg Fleeing/Eluding High Speed,Risk of Recidivism,4,Low,2013-07-03,Risk of Violence,4,Low,2013-07-03,2015-08-23,2015-08-25,4,0,781,1,0 +1369,amanda johnson,amanda,johnson,2014-01-30,Female,1987-12-09,28,25 - 45,Caucasian,0,4,0,1,3,-1,2014-01-29 03:14:43,2014-03-15 05:32:38,14001614MM10A,2014-01-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-30,Risk of Violence,3,Low,2014-01-30,2014-01-29,2014-03-15,3,44,792,0,0 +1370,theresa brooks,theresa,brooks,2013-12-09,Female,1963-01-13,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-08 05:37:02,2013-12-09 02:01:16,13022709MM10A,2013-12-08,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,2013-12-08,2013-12-09,0,0,844,0,0 +1372,diego fernandez,diego,fernandez,2013-04-13,Male,1992-01-19,24,Less than 25,Caucasian,0,2,0,0,0,-1,2013-04-12 04:15:18,2013-04-13 04:49:36,13005316CF10A,2013-04-12,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-13,Risk of Violence,3,Low,2013-04-13,2013-04-12,2013-04-13,0,0,1084,0,0 +1375,roberto hernandez-castro,roberto,hernandez-castro,2013-02-05,Male,1987-05-07,28,25 - 45,Hispanic,0,2,0,0,1,-9,2013-01-27 07:59:24,2013-02-05 01:27:22,13001342CF10A,2013-01-27,,9,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-05,Risk of Violence,2,Low,2013-02-05,2013-01-27,2013-02-05,1,0,1151,0,0 +1376,william arenas,william,arenas,2013-12-07,Male,1987-09-26,28,25 - 45,Hispanic,0,5,0,0,1,-1,2013-12-06 10:35:46,2013-12-08 02:23:57,13016897CF10A,2013-12-06,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-07,Risk of Violence,4,Low,2013-12-07,2014-01-30,2014-01-31,1,1,54,0,0 +1377,gregory sanders,gregory,sanders,2013-02-03,Male,1977-01-10,39,25 - 45,African-American,0,7,0,1,6,-1,2013-02-02 11:58:09,2013-03-10 05:23:46,13002377MM10A,2013-02-02,,1,M,Disorderly Conduct,1,13006256CF10A,(F3),0,2013-05-01,Possession of Cocaine,2013-05-01,2014-08-14,,0,,,,,Risk of Recidivism,7,Medium,2013-02-03,Risk of Violence,4,Low,2013-02-03,2013-05-01,2014-08-14,6,35,87,1,1 +1379,james rogers,james,rogers,2013-12-07,Male,1993-12-21,22,Less than 25,African-American,0,7,0,0,1,0,2013-12-07 12:29:20,2013-12-07 07:33:19,13016885CF10A,2013-12-06,,1,F,Possession of Cocaine,1,14000607MM40A,(M1),144,2013-12-27,Trespass Other Struct/Conve,2014-05-20,2014-06-03,,0,,,,,Risk of Recidivism,7,Medium,2013-12-07,Risk of Violence,6,Medium,2013-12-07,2015-09-04,2015-11-01,1,0,20,1,1 +1380,tony harris,tony,harris,2013-01-22,Male,1969-06-14,46,Greater than 45,African-American,0,2,0,0,2,0,2013-01-22 02:31:25,2013-01-31 09:56:34,13001055CF10A,2013-01-22,,0,F,Grand Theft in the 3rd Degree,1,13005810CF10A,(F2),1,2013-04-23,False Ownership Info/Pawn Item,2013-04-24,2013-05-18,,0,,,,,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,2,Low,2013-01-22,2013-01-22,2013-01-31,2,9,91,1,1 +1382,leon hatcher,leon,hatcher,2013-12-06,Male,1991-03-08,25,25 - 45,African-American,0,2,0,0,0,0,2013-12-06 03:45:12,2013-12-07 09:02:36,13022645MM10A,2013-12-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-06,Risk of Violence,4,Low,2013-12-06,2013-12-06,2013-12-07,0,1,847,0,0 +1384,willis weber,willis,weber,2013-08-22,Male,1963-10-04,52,Greater than 45,Caucasian,0,5,0,0,1,-5,2013-08-17 11:01:00,2013-08-21 09:42:10,99013179CF10A,,2000-10-13,4696,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-22,Risk of Violence,3,Low,2013-08-22,2013-08-17,2013-08-21,1,0,953,0,0 +1385,christopher harris,christopher,harris,2013-11-20,Male,1988-03-22,28,25 - 45,African-American,0,2,0,0,4,-1,2013-11-19 09:37:06,2013-11-20 08:36:56,13021767MM10A,2013-11-19,,1,M,Battery,1,13017293CF10A,(M1),4,2013-12-10,Burglary Dwelling Assault/Batt,2013-12-14,2014-06-23,,1,13017293CF10A,(M1),2013-12-10,Burglary Dwelling Assault/Batt,Risk of Recidivism,2,Low,2013-11-20,Risk of Violence,3,Low,2013-11-20,2013-12-14,2014-06-23,4,0,20,1,1 +1388,catherine manarite,catherine,manarite,2013-02-22,Female,1959-01-31,57,Greater than 45,Caucasian,0,1,0,0,1,-4,2013-02-18 08:10:17,2013-02-20 06:58:02,13002483CF10A,2013-02-18,,4,F,Possession of Cocaine,1,14030120TC40A,(M2),,2014-05-02,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-02-18,2013-02-20,1,0,434,1,1 +1393,kim mcconn,kim,mcconn,2014-01-13,Male,1967-03-05,49,Greater than 45,African-American,0,1,0,0,3,-1,2014-01-12 11:20:32,2014-01-13 08:21:27,13017666CF10A,,2014-01-12,1,F,arrest case no charge,1,14013682CF10A,(F3),,2014-10-10,Obtain Control Substance By Fraud,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-12,2014-01-13,3,0,270,1,1 +1395,breon clark,breon,clark,2014-08-04,Male,1994-04-21,21,Less than 25,African-American,0,9,0,0,2,-1,2014-08-03 02:26:32,2014-08-04 01:34:32,14010574CF10A,2014-08-03,,1,F,Possession of Cocaine,1,14012837CF10A,(F3),0,2014-09-22,Tamper With Victim,2014-09-22,2014-10-11,,1,14012837CF10A,(F3),2014-09-22,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2014-08-04,Risk of Violence,6,Medium,2014-08-04,2014-09-22,2014-10-11,2,0,49,1,1 +1396,jerry byrd,jerry,byrd,2014-02-11,Male,1983-11-11,32,25 - 45,African-American,0,10,0,0,19,-1,2014-02-10 06:04:29,2014-02-25 05:50:02,14001892CF10A,2014-02-10,,1,F,Possession of Cocaine,1,14009086CF10A,(F3),,2014-07-01,Poss Pyrrolidinovalerophenone,,,,1,14013915CF10A,(F3),2014-10-15,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-02-11,Risk of Violence,10,High,2014-02-11,2014-02-10,2014-02-25,19,14,140,1,1 +1397,marion scriven,marion,scriven,2013-03-12,Male,1952-06-08,63,Greater than 45,African-American,0,9,0,0,3,-1,2013-03-11 01:34:23,2013-10-17 05:14:49,06023809MM10A,2006-11-22,,2302,M,Trespass Structure/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-11,2013-10-17,3,219,1116,0,0 +1399,james dean,james,dean,2013-01-22,Male,1986-11-21,29,25 - 45,Caucasian,0,3,0,0,2,0,2013-01-22 12:12:24,2013-01-24 11:34:19,13000988CF10A,2013-01-21,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,3,Low,2013-01-22,2013-01-22,2013-01-24,2,2,1165,0,0 +1402,darril wilson,darril,wilson,2013-09-21,Male,1969-10-06,46,Greater than 45,African-American,0,1,0,0,0,0,2013-09-21 04:23:43,2013-09-22 07:45:05,13018026MM10A,2013-09-21,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-21,Risk of Violence,1,Low,2013-09-21,2013-09-21,2013-09-22,0,1,923,0,0 +1403,patrick foy,patrick,foy,2013-10-11,Male,1993-02-10,23,Less than 25,African-American,0,10,0,0,5,-45,2013-08-27 09:03:34,2013-10-11 05:43:45,13011599CF10A,,2013-08-27,45,F,arrest case no charge,1,13017258CF10A,(M1),0,2013-12-13,Resist/Obstruct W/O Violence,2013-12-13,2014-01-15,,1,13017258CF10A,(M1),2013-12-13,Battery,Risk of Recidivism,10,High,2013-10-11,Risk of Violence,8,High,2013-10-11,2013-12-13,2014-01-15,5,0,63,1,1 +1408,billy darby,billy,darby,2014-02-06,Male,1988-01-15,28,25 - 45,African-American,0,7,0,0,10,-1,2014-02-05 05:37:05,2014-02-06 09:10:24,14002042MM10A,2014-02-05,,1,M,Battery,1,14026623TC40A,(M2),85,2014-04-15,Driving License Suspended,2014-07-09,2014-07-18,,0,,,,,Risk of Recidivism,7,Medium,2014-02-06,Risk of Violence,5,Medium,2014-02-06,2014-09-15,2014-09-24,10,0,68,1,1 +1410,derrick dismuke,derrick,dismuke,2013-11-04,Male,1988-06-04,27,25 - 45,African-American,0,2,0,0,1,-3,2013-11-01 07:50:16,2013-11-04 10:41:00,12002308CF10A,,2013-11-01,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-04,Risk of Violence,3,Low,2013-11-04,2015-06-17,2015-06-24,1,0,590,0,0 +1411,leonor ramirez,leonor,ramirez,2014-02-17,Female,1946-05-22,69,Greater than 45,Hispanic,0,1,0,0,0,0,2014-02-17 12:41:46,2014-02-17 10:01:43,14006018MU10A,2014-02-16,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-17,Risk of Violence,1,Low,2014-02-17,2014-02-17,2014-02-17,0,0,774,0,0 +1412,jorge castaneda,jorge,castaneda,2014-03-31,Male,1969-03-26,47,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-30 07:29:05,2014-03-31 08:24:40,14005457MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-30,2014-03-31,0,0,732,0,0 +1418,elvis duran,elvis,duran,2013-05-15,Male,1970-05-18,45,Greater than 45,Hispanic,0,3,0,0,1,-1,2013-05-14 03:08:49,2013-09-19 05:01:54,13006893CF10A,2013-05-14,,1,F,Sex Offender Fail Comply W/Law,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-15,Risk of Violence,3,Low,2013-05-15,2013-05-14,2013-09-19,1,127,1052,0,0 +1419,consuelo mella,consuelo,mella,2014-01-24,Female,1982-12-22,33,25 - 45,Caucasian,0,1,0,0,1,0,2014-01-24 02:49:16,2014-01-24 09:38:22,14001387MM10A,2014-01-24,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-24,2014-01-24,1,0,798,0,0 +1422,maryuri zamora,maryuri,zamora,2014-03-11,Female,1988-10-11,27,25 - 45,Hispanic,0,2,0,0,0,0,2014-03-11 03:58:28,2014-03-12 03:30:38,14004251MM10A,2014-03-11,,0,M,Battery,1,15026648TC40A,(M2),,2015-02-18,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-11,Risk of Violence,2,Low,2014-03-11,2014-03-11,2014-03-12,0,1,344,1,1 +1424,richard klim,richard,klim,2013-07-02,Male,1968-08-30,47,Greater than 45,Caucasian,0,5,0,0,4,-58,2013-05-05 01:36:26,2013-06-06 09:13:22,13006437CF10A,2013-05-04,,59,F,Battery Emergency Care Provide,1,15003309CF10A,(F2),0,2015-03-11,Burglary Unoccupied Dwelling,2015-03-11,2015-04-13,,0,,,,,Risk of Recidivism,5,Medium,2013-07-02,Risk of Violence,6,Medium,2013-07-02,2015-03-11,2015-04-13,4,0,617,1,1 +1427,clinton mccutcheon,clinton,mccutcheon,2013-05-10,Male,1983-05-09,32,25 - 45,African-American,0,9,0,0,14,-1,2013-05-09 03:22:53,2013-05-11 05:44:32,13006678CF10A,2013-05-09,,1,F,Grand Theft (Motor Vehicle),1,14012056MM10A,(M1),0,2014-08-09,Possess Cannabis/20 Grams Or Less,2014-08-09,2014-08-10,,1,15015672CF10A,(F2),2015-12-07,Throw Deadly Missile Into Veh,Risk of Recidivism,9,High,2013-05-10,Risk of Violence,6,Medium,2013-05-10,2014-06-27,2014-07-01,14,1,413,0,1 +1428,joshua frazier,joshua,frazier,2013-05-21,Male,1991-04-21,24,Less than 25,African-American,0,7,0,0,2,-1,2013-05-20 04:06:09,2013-05-21 07:18:03,13007199CF10A,2013-05-20,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-21,Risk of Violence,5,Medium,2013-05-21,2014-04-03,2014-04-04,2,0,317,0,0 +1429,guyrson maddy,guyrson,maddy,2014-10-31,Male,1989-06-28,26,25 - 45,African-American,0,10,0,0,5,-1,2014-10-30 06:16:15,2014-11-02 09:35:14,14014579CF10A,2014-10-30,,1,F,Felony Driving While Lic Suspd,1,15001465MM10A,(M2),,2015-01-17,DWLS/License Susp/Revoked,,,,0,,,,,Risk of Recidivism,10,High,2014-10-31,Risk of Violence,8,High,2014-10-31,2014-10-30,2014-11-02,5,2,78,1,1 +1430,carlos mejia,carlos,mejia,2013-10-07,Male,1969-01-25,47,Greater than 45,Hispanic,0,4,0,0,0,-4,2013-10-03 01:34:28,2013-10-04 09:18:53,13018838MM10A,2013-10-03,,4,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-10-03,2013-10-04,0,0,907,0,0 +1431,thomas purvis,thomas,purvis,2014-03-05,Male,1990-11-04,25,25 - 45,Caucasian,0,5,0,0,1,-1,2014-03-04 08:15:39,2014-03-05 08:39:30,14003063CF10A,2014-03-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-05,Risk of Violence,3,Low,2014-03-05,2014-11-17,2014-11-24,1,0,257,0,0 +1433,destin ross,destin,ross,2013-11-23,Male,1995-02-28,21,Less than 25,African-American,0,8,0,0,1,-1,2013-11-22 12:16:41,2014-03-11 01:05:27,13016233CF10A,2013-11-22,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-23,Risk of Violence,7,Medium,2013-11-23,2013-11-22,2014-03-11,1,108,860,0,0 +1435,anthony edie,anthony,edie,2014-03-12,Male,1990-05-02,25,25 - 45,African-American,0,2,0,0,2,-1,2014-03-11 03:22:56,2014-03-12 01:31:40,14004249MM10A,2014-03-11,,1,M,Battery,1,15000038MM40A,(M1),,2014-11-20,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-12,Risk of Violence,3,Low,2014-03-12,2014-03-11,2014-03-12,2,0,253,1,1 +1436,kashema dawkins,kashema,dawkins,2014-07-23,Male,1993-10-06,22,Less than 25,African-American,1,7,1,0,6,-1,2014-07-22 03:12:05,2014-07-24 06:06:22,14010014CF10A,,2014-07-22,1,F,arrest case no charge,1,14015889MM10A,(M1),0,2014-11-03,Battery,2014-11-03,2014-11-04,,1,14015889MM10A,(M1),2014-11-03,Battery,Risk of Recidivism,7,Medium,2014-07-23,Risk of Violence,5,Medium,2014-07-23,2014-11-03,2014-11-04,6,1,103,1,1 +1438,jennifer brown,jennifer,brown,2013-01-17,Female,1989-05-04,26,25 - 45,Caucasian,0,6,0,0,0,-1,2013-01-16 04:30:06,2013-01-17 03:36:21,13000765CF10A,2013-01-16,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2013-01-16,2013-01-17,0,0,1170,0,0 +1439,adrian mendieta,adrian,mendieta,2014-03-11,Male,1995-08-24,20,Less than 25,Caucasian,0,4,0,0,0,-1,2014-03-10 03:13:49,2014-03-11 10:33:16,14003382CF10A,2014-03-10,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-11,Risk of Violence,6,Medium,2014-03-11,2014-03-10,2014-03-11,0,0,752,0,0 +1441,dominique smith,dominique,smith,2014-11-28,Male,1986-01-08,30,25 - 45,African-American,0,5,0,0,1,-1,2014-11-27 03:53:08,2014-11-29 03:20:54,14016854MM10A,2014-11-27,,1,M,Battery,1,15010651MM10A,(M2),0,2015-10-11,Trespass Struct/Conveyance,2015-10-11,2015-10-12,,0,,,,,Risk of Recidivism,5,Medium,2014-11-28,Risk of Violence,3,Low,2014-11-28,2015-10-11,2015-10-12,1,1,317,1,1 +1443,felipe pagan,felipe,pagan,2013-09-09,Male,1970-12-01,45,Greater than 45,African-American,0,5,0,0,0,-3,2013-09-06 10:17:41,2013-09-07 12:47:10,13012605CF10A,2013-09-06,,3,F,Possession of Morphine,1,14001763MM10A,(M1),1,2014-02-01,Possess Cannabis/20 Grams Or Less,2014-02-02,2014-04-25,,0,,,,,Risk of Recidivism,5,Medium,2013-09-09,Risk of Violence,4,Low,2013-09-09,2014-02-02,2014-04-25,0,0,145,1,1 +1445,ernest ford,ernest,ford,2013-01-03,Male,1982-05-26,33,25 - 45,African-American,0,7,0,0,7,0,2013-01-03 12:47:06,2013-03-23 05:13:54,13000079CF10A,2013-01-02,,1,F,Possession of Cocaine,1,13012253CF10A,(F2),,2013-07-16,Strong Armed Robbery,,,,1,13012253CF10A,(F2),2013-07-16,Strong Armed Robbery,Risk of Recidivism,7,Medium,2013-01-03,Risk of Violence,9,High,2013-01-03,2013-01-03,2013-03-23,7,79,194,1,1 +1446,lloren andreu,lloren,andreu,2014-02-04,Male,1980-09-16,35,25 - 45,Caucasian,0,1,0,0,2,-1,2014-02-03 10:17:08,2014-02-04 07:35:43,14001499CF10A,2014-02-03,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,2,Low,2014-02-04,2014-02-03,2014-02-04,2,0,787,0,0 +1447,mark marchant,mark,marchant,2013-11-26,Male,1975-03-29,41,25 - 45,Caucasian,0,1,0,0,5,-1,2013-11-25 07:40:00,2013-11-26 10:02:41,13016427CF10A,2013-11-25,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2013-11-25,2013-11-26,5,0,857,0,0 +1448,christian ayers,christian,ayers,2013-01-16,Male,1992-09-04,23,Less than 25,Caucasian,0,3,0,0,0,0,2013-01-16 03:21:38,2013-01-18 06:02:43,13001147MM10A,2013-01-16,,0,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-16,Risk of Violence,5,Medium,2013-01-16,2013-01-16,2013-01-18,0,2,1171,0,0 +1452,crystal hernandez,crystal,hernandez,2014-03-10,Female,1995-03-03,21,Less than 25,Caucasian,0,5,1,0,0,-1,2014-03-09 04:11:02,2014-03-10 12:58:03,14009264MU10A,2014-03-09,,1,M,Driving Under The Influence,1,14033277TC30A,(M2),,2014-04-03,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-10,Risk of Violence,5,Medium,2014-03-10,2014-07-31,2014-08-19,0,0,24,1,1 +1455,ally chattman,ally,chattman,2013-02-23,Male,1961-09-18,54,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-22 10:36:11,2013-02-24 02:27:44,13002755CF10A,2013-02-22,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-24,0,1,1133,0,0 +1456,tony scott,tony,scott,2014-10-21,Male,1988-09-03,27,25 - 45,African-American,0,6,0,0,10,-1,2014-10-20 02:10:27,2014-10-21 08:11:18,14011103CF10A,,2014-10-20,1,F,arrest case no charge,1,15026145TC10A,(M1),0,2015-09-23,Opert With Susp DL 2nd Offens,2015-09-23,2015-09-24,,0,,,,,Risk of Recidivism,6,Medium,2014-10-21,Risk of Violence,8,High,2014-10-21,2015-09-23,2015-09-24,10,0,337,1,1 +1458,timothy campos,timothy,campos,2013-10-10,Male,1993-07-11,22,Less than 25,Caucasian,0,3,0,0,0,-4,2013-10-06 03:03:50,2013-10-07 08:17:57,13018996MM10A,2013-10-05,,5,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-10,Risk of Violence,5,Medium,2013-10-10,2014-01-15,2014-01-16,0,0,97,0,0 +1460,eulaida moreno,eulaida,moreno,2014-06-10,Female,1995-04-03,21,Less than 25,Hispanic,0,7,0,0,0,-1,2014-06-09 05:06:31,2014-06-10 01:00:37,14009138MM10A,2014-06-09,,1,M,Battery,1,15003247MM40A,(M1),,2015-08-12,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,7,Medium,2014-06-10,Risk of Violence,7,Medium,2014-06-10,2014-06-09,2014-06-10,0,0,428,1,1 +1461,michael creightney,michael,creightney,2013-08-25,Male,1992-05-08,23,Less than 25,African-American,0,6,0,0,2,-1,2013-08-24 05:25:24,2013-08-30 07:02:03,13011955CF10A,2013-08-24,,1,F,Pos Cannabis W/Intent Sel/Del,1,13018368MM10A,(M1),0,2013-09-07,Possess Cannabis/20 Grams Or Less,2013-09-07,2013-09-08,,0,,,,,Risk of Recidivism,6,Medium,2013-08-25,Risk of Violence,5,Medium,2013-08-25,2013-09-07,2013-09-08,2,5,13,1,1 +1462,carlos gabriele,carlos,gabriele,2013-12-17,Male,1986-02-27,30,25 - 45,Hispanic,0,1,0,0,1,-9,2013-12-08 10:10:54,2013-12-16 08:47:38,13022712MM10A,2013-12-08,,9,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-17,Risk of Violence,2,Low,2013-12-17,2013-12-08,2013-12-16,1,0,836,0,0 +1463,dominic armstrong,dominic,armstrong,2013-11-20,Male,1980-02-03,36,25 - 45,African-American,0,8,0,0,5,-20,2013-10-31 01:51:51,2013-11-19 10:46:00,13020562MM10A,2013-10-31,,20,M,Viol Injunct Domestic Violence,1,14017070CF10A,(F3),1,2014-12-27,Tampering With Physical Evidence,2014-12-28,2015-01-30,,0,,,,,Risk of Recidivism,8,High,2013-11-20,Risk of Violence,3,Low,2013-11-20,2014-03-21,2014-05-15,5,0,121,0,1 +1464,erika machado,erika,machado,2013-12-20,Female,1992-03-30,24,Less than 25,Hispanic,0,6,0,0,2,48,2014-02-06 03:33:18,2014-02-07 02:49:24,13008860CF10A,2013-06-24,,179,F,Possession of Cocaine,1,14002114MM10A,(M1),0,2014-02-06,Trespass Other Struct/Convey,2014-02-06,2014-02-07,,1,15006900MM10A,(M1),2015-06-27,Battery,Risk of Recidivism,6,Medium,2013-12-20,Risk of Violence,3,Low,2013-12-20,2014-02-06,2014-02-07,2,0,48,1,1 +1467,anthony blount,anthony,blount,2013-08-07,Male,1986-08-07,29,25 - 45,African-American,0,7,0,1,10,-1,2013-08-06 05:55:07,2013-08-29 08:04:08,13011004CF10A,2013-08-06,,1,F,Deliver Cannabis,1,14011327CF10A,(F3),0,2014-08-19,Driving While License Revoked,2014-08-19,2014-09-05,,0,,,,,Risk of Recidivism,7,Medium,2013-08-07,Risk of Violence,5,Medium,2013-08-07,2014-08-19,2014-09-05,10,22,377,1,1 +1470,steve kolbjornsen,steve,kolbjornsen,2013-03-17,Male,1961-12-12,54,Greater than 45,African-American,0,5,0,0,4,-1,2013-03-16 11:33:04,2013-06-03 08:21:57,13005186MM10A,2013-03-16,,1,M,Battery,1,13010754MM10A,(M1),0,2013-06-04,Petit Theft $100- $300,2013-06-04,2013-12-12,,1,13010754MM10A,(M1),2013-06-04,Battery,Risk of Recidivism,5,Medium,2013-03-17,Risk of Violence,4,Low,2013-03-17,2013-06-04,2013-12-12,4,78,79,1,1 +1471,parker frederick,parker,frederick,2013-08-29,Male,1993-10-22,22,Less than 25,Caucasian,0,5,0,0,2,-1,2013-08-28 11:26:11,2013-09-11 08:03:33,13016503MM10A,2013-08-28,,1,M,Battery,1,14002633CF10A,(F3),0,2014-02-24,"Poss3,4 Methylenedioxymethcath",2014-02-24,2014-04-02,,1,15010952CF10A,(F3),2015-08-22,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2013-08-29,Risk of Violence,6,Medium,2013-08-29,2014-02-24,2014-04-02,2,13,179,1,1 +1472,raymond carlson,raymond,carlson,2013-12-11,Male,1978-01-25,38,25 - 45,Caucasian,0,1,0,0,2,-64,2013-10-08 03:58:44,2013-10-12 10:37:11,13014123CF10A,2013-10-08,,64,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2014-03-05,2014-04-17,2,0,84,0,0 +1473,benjamin robinson,benjamin,robinson,2013-02-02,Male,1989-07-04,26,25 - 45,African-American,0,4,0,0,0,-1,2013-02-01 06:04:12,2013-02-02 05:16:40,13002360MM10A,2013-02-01,,1,M,Battery,1,13002713MM10A,(M1),0,2013-02-06,Resist/Obstruct W/O Violence,2013-02-06,2013-02-07,,1,15010096CF10A,(F2),2015-05-20,Agg Battery Grt/Bod/Harm,Risk of Recidivism,4,Low,2013-02-02,Risk of Violence,3,Low,2013-02-02,2013-02-06,2013-02-07,0,0,4,1,1 +1474,sasha coar,sasha,coar,2014-02-11,Female,1995-07-29,20,Less than 25,African-American,0,4,0,0,0,-1,2014-02-10 07:08:16,2014-02-11 11:50:51,14001883CF10A,2014-02-10,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-11,Risk of Violence,6,Medium,2014-02-11,2014-02-10,2014-02-11,0,0,780,0,0 +1475,hugo orbera,hugo,orbera,2013-04-10,Male,1960-04-18,56,Greater than 45,Hispanic,0,1,0,0,0,,,,,,,,M,,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-10,Risk of Violence,1,Low,2013-04-10,2013-04-02,2013-04-10,0,0,1087,0,0 +1479,finest williams,finest,williams,2013-09-30,Male,1964-03-19,52,Greater than 45,African-American,0,1,0,0,6,0,2013-09-30 11:04:43,2013-10-02 04:00:46,13018600MM10A,2013-09-30,,0,M,Battery,1,15010450CF10A,(F3),0,2015-08-13,Possession of Cocaine,2015-08-13,2015-08-14,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2015-08-13,2015-08-14,6,2,682,1,1 +1481,aaron rolle,aaron,rolle,2013-04-12,Male,1986-09-06,29,25 - 45,African-American,0,1,0,0,0,-1,2013-04-11 02:03:54,2013-04-13 04:17:04,13005240CF10A,2013-04-11,,1,F,Sale/Del Counterfeit Cont Subs,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,2013-11-07,2013-11-10,0,1,209,0,0 +1482,kewuana jones,kewuana,jones,2013-12-16,Female,1992-04-25,23,Less than 25,African-American,0,7,0,0,6,-18,2013-11-28 11:32:18,2013-12-16 06:10:23,13022280MM10A,2013-11-28,,18,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-16,Risk of Violence,5,Medium,2013-12-16,2013-11-28,2013-12-16,6,0,837,0,0 +1483,harvell watson,harvell,watson,2014-01-22,Male,1980-08-21,35,25 - 45,African-American,0,1,0,0,1,-1,2014-01-21 05:56:47,2014-01-30 10:03:30,13009266MM10A,,2014-01-21,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2014-01-21,2014-01-30,1,8,800,0,0 +1484,kathryn george,kathryn,george,2013-11-12,Male,1983-08-20,32,25 - 45,Caucasian,0,9,0,0,8,-4,2013-11-08 04:35:13,2013-11-09 02:08:17,13015609CF10A,2013-11-08,,4,F,Felony Petit Theft,1,14009139CF10A,(M1),13,2014-06-20,Fraudulent Use Of Credit Card,2014-07-03,2014-09-10,,0,,,,,Risk of Recidivism,9,High,2013-11-12,Risk of Violence,10,High,2013-11-12,2014-06-15,2014-06-19,8,0,215,0,1 +1485,mitchell knight,mitchell,knight,2013-11-20,Male,1995-03-23,21,Less than 25,African-American,0,7,0,0,1,-18,2013-11-02 01:59:31,2013-11-03 01:26:39,13020677MM10A,2013-11-02,,18,M,Battery,1,14000114MM30A,(M1),596,2013-12-20,Possess Cannabis/20 Grams Or Less,2015-08-08,2015-08-08,,1,15012709MM10A,(M1),2015-11-11,Battery,Risk of Recidivism,7,Medium,2013-11-20,Risk of Violence,6,Medium,2013-11-20,2015-08-08,2015-08-08,1,0,30,1,1 +1486,luis taveras,luis,taveras,2013-10-08,Male,1990-09-12,25,25 - 45,Hispanic,0,3,0,0,0,-1,2013-10-07 07:18:19,2013-10-08 03:39:39,13014061CF10A,2013-10-07,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-08,Risk of Violence,6,Medium,2013-10-08,2013-10-07,2013-10-08,0,0,906,0,0 +1488,sheldon cam,sheldon,cam,2013-12-23,Male,1983-09-30,32,25 - 45,African-American,0,2,1,0,5,,,,13023703MM10A,2013-12-23,,0,M,Battery,1,15060093TC20A,(M2),,2015-10-28,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,2,Low,2013-12-23,,,5,0,674,1,1 +1490,jacky docteur,jacky,docteur,2014-10-14,Male,1985-10-09,30,25 - 45,African-American,0,4,0,0,4,-1,2014-10-13 03:42:50,2014-10-14 07:15:27,14014960MM10A,2014-10-13,,1,M,Battery,1,15033285TC20A,(M2),,2015-05-21,Fail Obey Driv Lic Restrictions,,,,0,,,,,Risk of Recidivism,4,Low,2014-10-14,Risk of Violence,2,Low,2014-10-14,2014-10-13,2014-10-14,4,0,219,1,1 +1491,joan thomas,joan,thomas,2014-01-12,Female,1985-12-16,30,25 - 45,African-American,0,4,0,0,3,-1,2014-01-11 07:06:04,2014-02-06 09:34:49,14000468CF10A,2014-01-11,,1,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-12,Risk of Violence,4,Low,2014-01-12,2014-01-11,2014-02-06,3,25,810,0,0 +1496,demetris russaw,demetris,russaw,2013-04-25,Male,1992-05-24,23,Less than 25,African-American,0,7,0,0,2,-1,2013-04-24 03:10:43,2013-04-30 07:30:08,12009173CF10A,,2013-04-24,1,F,arrest case no charge,1,14002871MM20A,(M2),,2014-10-07,Operating W/O Valid License,,,,1,16002777CF10A,(F1),2016-03-04,Burglary With Assault/battery,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,6,Medium,2013-04-25,2013-04-24,2013-04-30,2,5,530,1,1 +1497,jesse bernstein,jesse,bernstein,2013-07-29,Male,1983-04-21,32,25 - 45,Caucasian,1,4,0,0,8,-2,2013-07-27 10:35:38,2013-07-29 11:27:25,13010543CF10A,2013-07-27,,2,F,Burglary Dwelling Occupied,1,15013246MM10A,(M1),,2015-12-23,Tresspass in Struct/Convey Occupy,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-29,Risk of Violence,4,Low,2013-07-29,2013-07-27,2013-07-29,8,0,877,1,0 +1498,jerry seal,jerry,seal,2013-12-11,Male,1963-09-19,52,Greater than 45,Caucasian,0,1,0,0,1,-111,2013-08-22 10:06:49,2013-08-24 02:22:11,13011800CF10A,2013-08-22,,111,F,Possession Child Pornography,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2016-01-21,2016-01-23,1,0,771,0,0 +1499,christopher watson,christopher,watson,2013-01-04,Male,1986-07-27,29,25 - 45,African-American,0,10,0,0,6,-1,2013-01-03 11:14:41,2013-02-12 05:48:52,13000112CF10A,,2013-01-03,1,F,arrest case no charge,1,13013151CF10A,(F3),0,2013-09-18,Possession of Cocaine,2013-09-18,2013-09-20,,0,,,,,Risk of Recidivism,10,High,2013-01-04,Risk of Violence,9,High,2013-01-04,2013-09-18,2013-09-20,6,39,257,1,1 +1501,peter rapone,peter,rapone,2013-08-16,Male,1973-12-10,42,25 - 45,Caucasian,0,1,0,0,0,0,2013-08-16 03:31:01,2013-08-16 09:14:20,13015538MM10A,2013-08-16,,0,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-16,Risk of Violence,1,Low,2013-08-16,2013-08-16,2013-08-16,0,0,959,0,0 +1505,deve cherisca,deve,cherisca,2013-02-24,Male,1994-10-23,21,Less than 25,African-American,0,8,0,1,0,0,2013-02-24 03:20:14,2013-02-25 02:11:41,13002829CF10A,2013-02-23,,1,F,Possession Burglary Tools,1,13015297MM10A,(M1),1,2013-08-13,Resist/Obstruct W/O Violence,2013-08-14,2013-08-14,,0,,,,,Risk of Recidivism,8,High,2013-02-24,Risk of Violence,9,High,2013-02-24,2013-02-24,2013-02-25,0,1,170,1,1 +1506,alana broadhead,alana,broadhead,2014-01-31,Female,1979-05-10,36,25 - 45,Caucasian,0,9,0,0,4,110,2014-05-21 04:48:02,2014-11-05 11:24:50,13011288CF10A,,2013-09-09,144,F,arrest case no charge,1,16003160CF10A,(F3),,2016-03-13,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-31,Risk of Violence,3,Low,2014-01-31,2014-05-21,2014-11-05,4,0,110,0,1 +1508,chantel thomas,chantel,thomas,2014-01-06,Female,1993-08-06,22,Less than 25,African-American,0,3,0,0,0,-2,2014-01-04 11:57:59,2014-01-05 01:34:22,14000168MM10A,2014-01-04,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-06,Risk of Violence,4,Low,2014-01-06,2014-01-04,2014-01-05,0,0,816,0,0 +1509,hugo garcia,hugo,garcia,2013-01-26,Male,1970-10-12,45,Greater than 45,Hispanic,0,1,0,0,2,-1,2013-01-25 07:53:49,2013-03-13 12:29:31,13001254CF10A,2013-01-25,,1,F,Sex Battery Deft 18+/Vict 11-,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-26,Risk of Violence,2,Low,2013-01-26,2013-01-25,2013-03-13,2,46,1161,0,0 +1511,duane miller,duane,miller,2013-11-10,Male,1986-09-16,29,25 - 45,African-American,0,2,0,0,0,-1,2013-11-09 08:24:05,2013-11-10 02:36:02,13021182MM10A,2013-11-09,,1,M,Posses/Disply Susp/Revk/Frd DL,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-10,Risk of Violence,3,Low,2013-11-10,2013-11-09,2013-11-10,0,0,873,0,0 +1512,thomas evans,thomas,evans,2013-09-09,Male,1961-08-11,54,Greater than 45,African-American,0,2,0,0,2,,,,10011555CF10A,2010-06-24,,1173,M,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,3,Low,2013-09-09,2008-03-06,2008-07-11,2,0,935,0,0 +1513,willie carter,willie,carter,2013-01-24,Male,1986-04-14,30,25 - 45,African-American,0,5,0,0,6,-1,2013-01-23 04:50:53,2013-01-26 03:15:43,13001097CF10A,,2013-01-23,1,F,arrest case no charge,1,14011625CF10A,(F2),282,2014-05-25,Aggravated Battery / Pregnant,2015-03-03,2015-04-15,,1,14011625CF10A,(F2),2014-05-25,Aggravated Battery / Pregnant,Risk of Recidivism,5,Medium,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-06-05,2013-07-26,6,2,132,0,1 +1515,rufus jackson,rufus,jackson,2013-10-23,Male,1964-11-14,51,Greater than 45,African-American,0,4,0,0,17,0,2013-10-23 02:05:52,2013-10-23 07:52:30,13020090MM10A,2013-10-22,,1,M,DUI Blood Alcohol Above 0.20,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2013-10-23,2013-10-23,17,0,891,0,0 +1516,ulisses hernandez,ulisses,hernandez,2013-04-27,Male,1970-11-19,45,Greater than 45,Hispanic,0,3,0,0,20,0,2013-04-27 03:24:40,2013-04-29 09:39:26,13006065CF10A,2013-04-27,,0,F,Driving While License Revoked,1,15004221CF10A,(F3),1,2015-03-31,Drivg While Lic Suspd/Revk/Can,2015-04-01,2015-04-02,,0,,,,,Risk of Recidivism,3,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-27,2013-04-29,20,2,703,1,1 +1517,gearrard holmes,gearrard,holmes,2014-08-14,Male,1988-11-21,27,25 - 45,African-American,0,3,0,0,3,88,2014-11-10 10:05:14,2015-09-08 09:20:53,14006822CF10A,2014-05-16,,90,F,Burglary Conveyance Armed,1,14015078CF10A,(M2),3,2014-11-07,Fail To Obey Police Officer,2014-11-10,2015-09-08,,1,14015078CF10A,(F2),2014-11-07,Agg Assault Law Enforc Officer,Risk of Recidivism,3,Low,2014-08-14,Risk of Violence,2,Low,2014-08-14,2014-11-10,2015-09-08,3,0,85,1,1 +1518,johnathon rosario,johnathon,rosario,2013-08-07,Male,1992-01-19,24,Less than 25,Hispanic,0,2,0,0,1,190,2014-02-13 11:43:32,2014-02-27 10:36:11,12015731CF10A,,2012-11-27,253,F,arrest case no charge,1,15022910TC10A,(M1),0,2015-08-06,Opert With Susp DL 2nd Offens,2015-08-06,2015-09-12,,0,,,,,Risk of Recidivism,2,Low,2013-08-07,Risk of Violence,4,Low,2013-08-07,2014-02-13,2014-02-27,1,0,190,0,1 +1520,eric evenson,eric,evenson,2013-10-01,Male,1991-07-09,24,Less than 25,Caucasian,0,6,0,0,2,-27,2013-09-04 06:36:53,2013-09-04 06:53:03,13012482CF10A,2013-09-04,,27,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-01,Risk of Violence,5,Medium,2013-10-01,2013-10-31,2013-11-13,2,0,30,0,0 +1522,blake robinson,blake,robinson,2013-02-04,Male,1992-06-07,23,Less than 25,African-American,0,7,0,0,2,-1,2013-02-03 05:45:03,2013-02-08 11:19:06,13002455MM10A,2013-02-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-04,Risk of Violence,6,Medium,2013-02-04,2013-02-03,2013-02-08,2,4,1152,0,0 +1523,annmarie young,annmarie,young,2013-04-27,Female,1973-11-20,42,25 - 45,Other,0,3,0,0,2,496,2014-09-05 04:36:17,2014-09-19 06:50:50,13008081MM10A,2013-04-26,,1,M,Crim Attempt/Solicit/Consp,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-27,Risk of Violence,2,Low,2013-04-27,2014-09-05,2014-09-19,2,0,496,0,0 +1526,nelson olivio,nelson,olivio,2013-12-12,Male,1979-06-11,36,25 - 45,African-American,0,4,0,0,5,-1,2013-12-11 05:02:29,2013-12-12 01:44:46,13017126CF10A,2013-12-11,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-12,Risk of Violence,2,Low,2013-12-12,2013-12-11,2013-12-12,5,0,841,0,0 +1529,richard edward,richard,edward,2014-07-28,Female,1977-10-06,38,25 - 45,African-American,0,7,1,0,8,,,,14011447MM10A,2014-07-27,,1,M,Battery,1,15046846TC20A,(M2),,2015-08-18,Susp Drivers Lic 1st Offense,,,,1,15011417MM10A,(M1),2015-10-29,Battery,Risk of Recidivism,7,Medium,2014-07-28,Risk of Violence,4,Low,2014-07-28,2006-07-11,2008-11-24,8,0,386,1,1 +1530,marcelo davila,marcelo,davila,2014-03-31,Male,1947-04-09,69,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-30 06:30:00,2014-03-31 01:49:24,14005471MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-30,2014-03-31,0,0,732,0,0 +1531,jeremy torres,jeremy,torres,2013-11-18,Male,1995-03-29,21,Less than 25,Hispanic,0,5,0,1,1,-4,2013-11-14 09:10:59,2013-11-16 08:34:03,13013996CF10A,,2013-11-14,4,F,arrest case no charge,1,15026209TC40A,(M2),,2015-04-30,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-18,Risk of Violence,6,Medium,2013-11-18,2013-11-14,2013-11-16,1,0,528,1,1 +1532,leonardo collazos,leonardo,collazos,2013-04-27,Male,1956-07-21,59,Greater than 45,Hispanic,0,1,0,0,1,-1,2013-04-26 10:39:22,2013-04-27 01:07:17,92078761TC20A,1992-07-02,,7604,M,License Suspended Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-26,2013-04-27,1,0,1070,0,0 +1533,isaac smith,isaac,smith,2014-01-14,Male,1976-05-09,39,25 - 45,African-American,0,6,0,0,1,-9,2014-01-05 09:54:57,2014-01-10 07:58:25,12016467CF10A,,2014-01-05,9,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-05,2014-01-10,1,0,808,0,0 +1534,trevor parker,trevor,parker,2013-05-06,Male,1986-04-23,29,25 - 45,African-American,0,6,0,0,2,-1,2013-05-05 10:38:59,2013-06-12 05:40:10,13006444CF10A,2013-05-05,,1,F,Burglary Conveyance Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-06,Risk of Violence,3,Low,2013-05-06,2013-05-05,2013-06-12,2,37,1061,0,0 +1535,eleasar gutierrez,eleasar,gutierrez,2013-03-02,Male,1993-10-16,22,Less than 25,Hispanic,0,7,0,0,1,0,2013-03-02 12:57:44,2013-03-04 05:34:09,13004236MM10A,2013-03-01,,1,M,Battery,1,13013833MM10A,(M2),0,2013-07-21,Unlaw LicTag/Sticker Attach,2013-07-21,2013-07-21,,0,,,,,Risk of Recidivism,7,Medium,2013-03-02,Risk of Violence,5,Medium,2013-03-02,2013-07-21,2013-07-21,1,2,141,0,1 +1536,emmanuel treveus,emmanuel,treveus,2014-02-16,Male,1987-12-23,28,25 - 45,African-American,0,4,0,0,1,,,,08003795CF10A,2008-02-25,,2183,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-16,Risk of Violence,6,Medium,2014-02-16,,,1,0,775,0,0 +1538,daniel white,daniel,white,2013-03-22,Male,1971-08-18,44,25 - 45,Caucasian,0,3,0,0,6,0,2013-03-22 12:07:37,2013-03-22 08:51:12,13004116CF10A,2013-03-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,1,Low,2013-03-22,2013-03-22,2013-03-22,6,0,1106,0,0 +1540,jovan bailey,jovan,bailey,2013-02-17,Male,1990-11-20,25,25 - 45,African-American,0,5,0,0,2,-1,2013-02-16 04:14:17,2013-04-15 04:35:16,13002415CF10A,2013-02-16,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2015-03-03,2015-04-30,2,57,744,0,0 +1541,learby labath,learby,labath,2014-01-20,Male,1984-08-06,31,25 - 45,African-American,0,10,0,0,0,0,2014-01-20 03:43:59,2014-01-20 09:17:53,14000845CF10A,2014-01-20,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-20,Risk of Violence,10,High,2014-01-20,2014-01-20,2014-01-20,0,0,802,0,0 +1542,tavares felder,tavares,felder,2013-02-03,Male,1980-06-10,35,25 - 45,African-American,0,7,1,0,17,-1,2013-02-02 01:30:39,2013-02-04 03:00:27,13002391MM10A,2013-02-02,,1,M,Battery,1,13008151CF10A,(F3),1,2013-06-08,Grand Theft in the 3rd Degree,2013-06-09,2014-02-12,,1,13008151CF10A,(F3),2013-06-08,Child Abuse,Risk of Recidivism,7,Medium,2013-02-03,Risk of Violence,2,Low,2013-02-03,2013-03-14,2013-04-16,17,1,39,0,1 +1543,jacques altidor,jacques,altidor,2014-06-05,Male,1989-01-08,27,25 - 45,African-American,0,10,0,0,11,-1,2014-06-04 04:07:30,2014-06-06 11:55:51,11019590MM10A,,2014-06-04,1,M,arrest case no charge,1,14013184CF10A,(F3),1,2014-09-30,Possession of Cocaine,2014-10-01,2014-10-09,,0,,,,,Risk of Recidivism,10,High,2014-06-05,Risk of Violence,9,High,2014-06-05,2014-06-04,2014-06-06,11,1,0,0,1 +1545,evens jeanbaptiste,evens,jeanbaptiste,2013-11-23,Male,1983-02-19,33,25 - 45,African-American,0,5,0,0,1,0,2013-11-23 12:34:52,2013-11-25 10:32:35,13016319CF10A,2013-11-22,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-23,Risk of Violence,4,Low,2013-11-23,2013-11-23,2013-11-25,1,2,860,0,0 +1548,vladimir calixte,vladimir,calixte,2013-09-08,Male,1988-03-18,28,25 - 45,African-American,0,9,0,0,6,-1,2013-09-07 11:25:36,2013-09-08 11:14:03,13012677CF10A,2013-09-07,,1,F,Carrying Concealed Firearm,1,13088926TC40A,(M2),90,2013-12-12,Opert With Susp DL 2nd Offens,2014-03-12,2014-03-12,,0,,,,,Risk of Recidivism,9,High,2013-09-08,Risk of Violence,6,Medium,2013-09-08,2014-03-12,2014-03-12,6,0,95,1,1 +1549,dedrick williams,dedrick,williams,2014-04-24,Male,1996-03-23,20,Less than 25,African-American,1,10,0,1,1,-51,2014-03-04 08:08:45,2014-03-06 05:40:10,14003031CF10A,,2014-03-05,50,F,arrest case no charge,1,14011919CF10A,(F3),,2014-05-18,Aggravated Assault w/Firearm,,,,1,14011919CF10A,(F3),2014-05-18,Aggravated Assault w/Firearm,Risk of Recidivism,10,High,2014-04-24,Risk of Violence,10,High,2014-04-24,2014-03-04,2014-03-06,1,0,24,1,1 +1550,keith dillman,keith,dillman,2014-03-03,Male,1955-11-01,60,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-03-02 12:41:55,2014-03-03 08:09:50,13014186CF10A,,2014-03-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-02,2014-03-03,1,0,760,0,0 +1551,francisco gonzalez,francisco,gonzalez,2014-01-19,Male,1962-06-19,53,Greater than 45,Hispanic,0,1,0,0,0,0,2014-01-19 05:06:52,2014-01-20 12:41:21,14000962MM10A,2014-01-19,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-19,Risk of Violence,1,Low,2014-01-19,2014-01-19,2014-01-20,0,1,803,0,0 +1553,julio aviles,julio,aviles,2013-05-22,Male,1964-07-17,51,Greater than 45,Hispanic,0,1,0,0,0,0,2013-05-22 01:34:16,2013-05-23 04:43:36,13007304CF10A,2013-05-21,,1,F,Live on Earnings of Prostitute,1,13042641TC20A,(M2),,2013-07-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-22,Risk of Violence,1,Low,2013-05-22,2013-05-22,2013-05-23,0,1,43,1,1 +1554,roger baladi,roger,baladi,2013-12-11,Male,1990-07-15,25,25 - 45,Hispanic,0,2,0,0,1,-106,2013-08-27 02:38:09,2013-09-28 02:10:00,13011657CF10A,,2013-08-27,106,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-11,Risk of Violence,3,Low,2013-12-11,2013-08-27,2013-09-28,1,0,842,0,0 +1556,lias corker,lias,corker,2013-12-13,Male,1989-01-25,27,25 - 45,African-American,2,7,1,0,5,76,2014-02-27 01:40:20,2014-09-18 07:01:56,13009236CF10A,2013-06-28,,168,F,Robbery W/Firearm,1,14002766CF10A,(F3),1,2014-02-26,Robbery Sudd Snatch No Weapon,2014-02-27,2014-09-18,,1,14002766CF10A,(F3),2014-02-26,Robbery Sudd Snatch No Weapon,Risk of Recidivism,7,Medium,2013-12-13,Risk of Violence,8,High,2013-12-13,2015-07-25,2015-09-27,5,0,75,1,1 +1557,victoria phillips,victoria,phillips,2013-12-16,Female,1961-05-05,54,Greater than 45,African-American,0,1,0,0,0,-1,2013-12-15 02:13:35,2013-12-16 07:55:36,13017330CF10A,2013-12-15,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0 +1558,lucia arne,lucia,arne,2014-01-09,Female,1989-06-09,26,25 - 45,African-American,0,5,0,1,3,-305,2013-03-10 05:04:36,2013-03-11 05:35:50,14004080MM10A,2014-01-02,,7,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-09,Risk of Violence,5,Medium,2014-01-09,2013-03-10,2013-03-11,3,0,813,0,0 +1559,heriberto castro,heriberto,castro,2014-03-05,Male,1991-06-27,24,Less than 25,Caucasian,1,4,2,0,3,-1,2014-03-04 11:56:23,2014-03-06 04:15:00,14003704MM10A,2014-03-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-05,Risk of Violence,5,Medium,2014-03-05,2014-03-04,2014-03-06,3,1,758,0,0 +1560,roberto gonzalez,roberto,gonzalez,2013-01-17,Male,1960-09-26,55,Greater than 45,Hispanic,0,2,0,0,1,0,2013-01-17 02:41:43,2013-01-18 07:54:08,13000822CF10A,,2013-01-16,1,F,arrest case no charge,1,13001985CF10A,(F2),0,2013-02-08,Burglary Unoccupied Dwelling,2013-02-08,2013-02-13,,0,,,,,Risk of Recidivism,2,Low,2013-01-17,Risk of Violence,1,Low,2013-01-17,2013-02-08,2013-02-13,1,1,22,1,1 +1562,juan perez,juan,perez,2013-03-25,Male,1989-05-24,26,25 - 45,Hispanic,0,3,0,0,0,-1,2013-03-24 03:23:32,2013-03-26 11:28:11,13004394CF10A,2013-03-24,,1,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,3,Low,2013-03-25,2013-05-13,2013-06-08,0,1,49,0,0 +1563,catherine blackwood,catherine,blackwood,2013-08-01,Female,1941-03-08,75,Greater than 45,African-American,0,1,0,0,5,-1,2013-07-31 04:54:07,2013-08-01 07:43:39,13010258CF10A,,2013-07-31,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-07-31,2013-08-01,5,0,974,0,0 +1565,edward thomas,edward,thomas,2013-10-29,Male,1980-04-07,36,25 - 45,African-American,0,5,0,0,16,0,2013-10-29 02:19:16,2013-10-29 07:47:29,13015090CF10A,2013-10-29,,0,F,Driving While License Revoked,1,14006322CF10A,(M2),0,2014-05-06,Expired DL More Than 6 Months,2014-05-06,2014-05-07,,0,,,,,Risk of Recidivism,5,Medium,2013-10-29,Risk of Violence,3,Low,2013-10-29,2014-05-06,2014-05-07,16,0,189,1,1 +1566,ulysses davis,ulysses,davis,2013-11-19,Male,1959-05-04,56,Greater than 45,African-American,0,3,0,0,8,-106,2013-08-05 07:30:16,2013-10-16 11:44:03,08021349CF10A,,2013-08-05,106,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-19,Risk of Violence,3,Low,2013-11-19,2013-08-05,2013-10-16,8,0,864,0,0 +1568,sam metellus,sam,metellus,2014-02-24,Male,1981-11-29,34,25 - 45,Other,0,2,0,0,0,-1,2014-02-23 06:40:09,2014-02-25 10:03:53,14002560CF10A,2014-02-23,,1,F,Battery on Law Enforc Officer,1,15004997CF10A,(M1),0,2015-04-16,Resist/Obstruct W/O Violence,2015-04-16,2015-05-31,,0,,,,,Risk of Recidivism,2,Low,2014-02-24,Risk of Violence,2,Low,2014-02-24,2015-02-26,2015-03-10,0,1,367,0,1 +1569,jetadia brown,jetadia,brown,2013-02-17,Female,1990-10-25,25,25 - 45,African-American,0,7,0,0,5,-1,2013-02-16 01:28:20,2013-04-04 09:33:49,13003373MM10A,2013-02-15,,2,M,Viol Pretrial Release Dom Viol,1,13009341MM10A,(M2),0,2013-05-14,Unnatural/Lascivious Act,2013-05-14,2013-07-01,,0,,,,,Risk of Recidivism,7,Medium,2013-02-17,Risk of Violence,7,Medium,2013-02-17,2013-05-14,2013-07-01,5,46,86,1,1 +1571,kurt vanasse,kurt,vanasse,2013-03-25,Male,1969-08-16,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-24 09:03:12,2013-03-25 07:14:16,13004271CF10A,2013-03-24,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-24,2013-03-25,0,0,1103,0,0 +1572,jahmara rawlins,jahmara,rawlins,2013-01-19,Male,1988-07-18,27,25 - 45,African-American,0,2,0,0,1,0,2013-01-19 03:06:53,2013-01-26 01:55:00,13000898CF10A,,2013-01-19,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-19,Risk of Violence,5,Medium,2013-01-19,2013-01-19,2013-01-26,1,7,1168,0,0 +1573,johnie walton,johnie,walton,2014-02-04,Male,1991-06-12,24,Less than 25,African-American,0,6,0,0,1,,,,12021892TC10A,,2012-11-03,458,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-04,Risk of Violence,6,Medium,2014-02-04,,,1,0,787,0,0 +1575,kaylin sylvestre,kaylin,sylvestre,2014-01-13,Male,1987-11-15,28,25 - 45,African-American,0,3,0,0,3,0,2014-01-13 12:15:45,2014-01-13 02:23:15,14000589MM10A,2014-01-12,,1,M,Criminal Mischief Damage <$200,1,14084473TC30A,(M2),,2014-10-09,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-13,Risk of Violence,2,Low,2014-01-13,2014-01-13,2014-01-13,3,0,269,1,1 +1576,leonard morris,leonard,morris,2013-05-20,Male,1973-06-02,42,25 - 45,African-American,1,8,0,1,13,-1,2013-05-19 04:11:11,2013-05-20 01:56:16,13009631MM10A,2013-05-19,,1,M,Prowling/Loitering,1,13021943MM10A,(M2),0,2013-11-22,Petit Theft,2013-11-22,2013-12-13,,0,,,,,Risk of Recidivism,8,High,2013-05-20,Risk of Violence,6,Medium,2013-05-20,2013-11-22,2013-12-13,13,0,186,1,1 +1577,reynold cadet,reynold,cadet,2013-04-29,Male,1957-03-27,59,Greater than 45,African-American,0,1,0,0,2,0,2013-04-29 01:05:52,2013-04-29 06:35:40,13008155MM10A,2013-04-28,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-29,2013-04-29,2,0,1068,0,0 +1578,masoom ali,masoom,ali,2013-12-20,Male,1976-07-18,39,25 - 45,Caucasian,0,1,0,0,1,-15,2013-12-05 03:06:12,2013-12-20 01:58:00,13016994CF10A,2013-12-05,,15,F,Money Launder 100K or More Dols,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-20,Risk of Violence,1,Low,2013-12-20,2013-12-05,2013-12-20,1,0,833,0,0 +1581,gregory ponce,gregory,ponce,2013-04-19,Male,1970-04-09,46,Greater than 45,Caucasian,0,4,0,0,5,-1,2013-04-18 07:24:02,2013-04-30 07:30:20,13007528MM10A,2013-04-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-04-30,5,11,1078,0,0 +1584,stevenson charles,stevenson,charles,2013-01-15,Male,1991-03-03,25,25 - 45,Other,0,2,0,0,1,-1,2013-01-14 09:27:00,2013-01-15 01:39:19,13000655CF10A,2013-01-04,,11,F,Fraudulent Use of Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-15,Risk of Violence,3,Low,2013-01-15,2013-01-14,2013-01-15,1,0,1172,0,0 +1587,ricardo moreno,ricardo,moreno,2013-04-03,Male,1960-10-20,55,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-04-02 11:56:46,2013-04-04 10:21:45,13004810CF10A,2013-04-02,,1,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2015-10-15,2015-10-20,2,1,925,0,0 +1588,alan saintfleur,alan,saintfleur,2014-02-04,Male,1980-08-26,35,25 - 45,African-American,0,10,0,0,1,-4,2014-01-31 04:31:17,2014-02-01 10:05:58,14001742MM10A,2014-01-31,,4,M,Petit Theft,1,14005727MM10A,(M1),0,2014-04-03,Unlaw Use False Name/Identity,2014-04-03,2014-04-21,,0,,,,,Risk of Recidivism,10,High,2014-02-04,Risk of Violence,5,Medium,2014-02-04,2014-04-03,2014-04-21,1,0,58,1,1 +1590,mark harden,mark,harden,2014-03-27,Male,1972-07-19,43,25 - 45,African-American,0,1,0,0,0,-1,2014-03-26 05:00:03,2014-03-27 08:19:09,14005244MM10A,2014-03-26,,1,M,Battery,1,15000453MM10A,(M1),,2014-12-08,Battery,,,,1,15000453MM10A,(M1),2014-12-08,Battery,Risk of Recidivism,1,Low,2014-03-27,Risk of Violence,1,Low,2014-03-27,2014-12-30,2015-01-04,0,0,256,1,1 +1591,dawn kluenie,dawn,kluenie,2014-02-06,Female,1962-09-11,53,Greater than 45,Caucasian,0,1,0,0,0,0,2014-02-06 05:04:01,2014-02-07 02:27:21,14004832MU10A,2014-02-06,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-02-06,2014-02-07,0,1,785,0,0 +1594,bianca adhemar,bianca,adhemar,2013-12-27,Female,1994-07-18,21,Less than 25,African-American,0,5,0,0,0,-1,2013-12-26 06:12:11,2013-12-27 07:35:36,13023836MM10A,2013-12-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-27,Risk of Violence,6,Medium,2013-12-27,2013-12-26,2013-12-27,0,0,826,0,0 +1595,eric higdon,eric,higdon,2013-04-27,Male,1961-03-20,55,Greater than 45,African-American,0,10,0,0,17,-1,2013-04-26 06:25:43,2013-05-22 05:48:32,13006008CF10A,2013-04-26,,1,F,Possession of Cocaine,1,14008511CF10A,(F3),0,2014-06-20,Possession of Hydrocodone,2014-06-20,2015-01-16,,0,,,,,Risk of Recidivism,10,High,2013-04-27,Risk of Violence,4,Low,2013-04-27,2014-06-20,2015-01-16,17,25,419,1,1 +1596,rodale hill,rodale,hill,2013-03-15,Male,1988-09-15,27,25 - 45,African-American,0,3,0,0,1,-1,2013-03-14 01:03:47,2013-03-15 07:56:24,13003738CF10A,2013-03-14,,1,F,Possession of Cannabis,1,13009085MM10A,(M1),0,2013-05-10,Resist/Obstruct W/O Violence,2013-05-10,2013-05-11,,0,,,,,Risk of Recidivism,3,Low,2013-03-15,Risk of Violence,3,Low,2013-03-15,2013-05-10,2013-05-11,1,0,56,1,1 +1597,phillip hopson,phillip,hopson,2013-04-08,Male,1975-08-23,40,25 - 45,African-American,0,1,0,0,0,-1,2013-04-07 03:56:49,2013-04-09 11:36:38,13005021CF10A,2013-04-07,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2013-04-07,2013-04-09,0,1,1089,0,0 +1599,elisa garcia,elisa,garcia,2014-03-08,Female,1979-02-02,37,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-07 06:26:42,2014-03-08 09:43:00,14009244MU10A,2014-03-07,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-08,Risk of Violence,1,Low,2014-03-08,2014-03-07,2014-03-08,0,0,755,0,0 +1601,russell adams,russell,adams,2013-05-08,Male,1983-11-10,32,25 - 45,Caucasian,0,2,0,0,2,-1,2013-05-07 02:17:32,2013-05-12 07:15:28,13008853MM10A,2013-05-07,,1,M,Battery,1,13014700MO10A,(MO3),0,2013-08-02,Trespassing,2013-08-02,2013-08-02,,0,,,,,Risk of Recidivism,2,Low,2013-05-08,Risk of Violence,2,Low,2013-05-08,2013-08-02,2013-08-02,2,4,86,0,1 +1602,ronald shelton,ronald,shelton,2013-08-10,Male,1983-08-06,32,25 - 45,African-American,0,2,0,0,2,-1,2013-08-09 11:28:35,2013-08-11 03:36:21,13011211CF10A,2013-08-09,,1,M,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-10,Risk of Violence,2,Low,2013-08-10,2013-08-09,2013-08-11,2,1,965,0,0 +1604,andre collins,andre,collins,2013-12-15,Male,1980-03-23,36,25 - 45,African-American,0,5,0,0,4,-1,2013-12-14 10:15:47,2013-12-17 01:25:19,13023178MM10A,2013-12-14,,1,M,Battery,1,14010781TC10A,(M2),,2014-03-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-15,Risk of Violence,3,Low,2013-12-15,2013-12-14,2013-12-17,4,2,79,1,1 +1605,algin peralta,algin,peralta,2014-03-10,Male,1993-10-10,22,Less than 25,Hispanic,0,3,0,0,0,-1,2014-03-09 10:59:23,2014-03-10 03:29:33,14009275MU10A,2014-03-09,,1,M,Possess Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-10,Risk of Violence,5,Medium,2014-03-10,2015-05-06,2015-05-08,0,0,422,0,0 +1606,faris roperto,faris,roperto,2013-09-17,Female,1984-09-19,31,25 - 45,African-American,0,8,0,0,0,-1,2013-09-16 07:41:46,2013-09-18 08:56:28,13013084CF10A,2013-09-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-17,Risk of Violence,5,Medium,2013-09-17,2013-09-16,2013-09-18,0,1,927,0,0 +1607,gloria austin,gloria,austin,2013-09-13,Female,1989-06-15,26,25 - 45,African-American,0,7,0,0,4,0,2013-09-13 03:23:56,2013-09-14 01:41:42,13012937CF10A,2013-09-13,,0,F,Felony Driving While Lic Suspd,1,14002275CF10A,(F3),0,2014-02-18,Driving While License Revoked,2014-02-18,2014-05-06,,0,,,,,Risk of Recidivism,7,Medium,2013-09-13,Risk of Violence,5,Medium,2013-09-13,2014-02-18,2014-05-06,4,1,158,1,1 +1608,ellen brezner,ellen,brezner,2013-01-12,Female,1965-11-02,50,Greater than 45,Caucasian,0,6,0,0,30,-1,2013-01-11 11:15:08,2013-01-15 04:45:40,12005852MO40A,,2013-01-11,1,M,arrest case no charge,1,13006894MM10A,(M1),,2013-01-25,Trespass Other Struct/Convey,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-12,Risk of Violence,3,Low,2013-01-12,2013-01-11,2013-01-15,30,3,13,1,1 +1611,roderick goddard,roderick,goddard,2013-03-30,Male,1968-05-28,47,Greater than 45,African-American,0,3,0,0,4,0,2013-03-30 03:56:44,2013-03-30 07:56:58,13004577CF10A,2013-03-30,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,2,Low,2013-03-30,2013-03-30,2013-03-30,4,0,1098,0,0 +1613,melek rodney,melek,rodney,2013-03-04,Male,1980-01-12,36,25 - 45,African-American,0,3,0,0,2,-2,2013-03-02 08:36:51,2013-03-03 08:52:32,13003151CF10A,2013-03-02,,2,F,Crim Use of Personal ID Info,1,16000286MM20A,(M1),,2016-01-20,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2014-07-08,2014-07-14,2,0,491,0,0 +1615,crystal lyerla,crystal,lyerla,2013-11-08,Female,1977-06-22,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-07 02:09:05,2013-11-08 09:00:47,13015557CF10A,2013-11-07,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2013-11-07,2013-11-08,0,0,875,0,0 +1618,gregory lundy,gregory,lundy,2014-03-13,Male,1980-11-13,35,25 - 45,Other,0,1,0,0,0,-1,2014-03-12 03:20:25,2014-03-14 09:36:01,14003518CF10A,2014-03-12,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-13,Risk of Violence,1,Low,2014-03-13,2014-03-12,2014-03-14,0,1,750,0,0 +1620,alan suarezmesa,alan,suarezmesa,2013-12-16,Male,1963-01-22,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-15 11:06:25,2013-12-16 08:27:56,13017337CF10A,2013-12-15,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0 +1622,carlwell wilson,carlwell,wilson,2013-03-10,Male,1962-10-20,53,Greater than 45,African-American,0,3,0,0,2,-1,2013-03-09 09:26:47,2013-03-10 01:02:25,13003508CF10A,2013-03-09,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-10,Risk of Violence,1,Low,2013-03-10,2013-03-09,2013-03-10,2,0,1118,0,0 +1623,edward johnson,edward,johnson,2013-10-22,Male,1958-10-07,57,Greater than 45,African-American,0,7,0,0,19,-1,2013-10-21 11:00:46,2014-02-16 03:07:18,13016096CF10A,2013-10-21,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-22,Risk of Violence,4,Low,2013-10-22,2013-10-21,2014-02-16,19,117,892,0,0 +1624,jamar franklin,jamar,franklin,2013-09-27,Male,1993-11-04,22,Less than 25,African-American,0,8,0,0,5,-1,2013-09-26 03:08:39,2013-10-15 06:00:47,13011545CF10A,,2013-09-26,1,F,arrest case no charge,1,15007280CF10A,(F2),54,2014-06-01,Lewd/Lasc Battery Pers 12+/<16,2014-07-25,2014-09-01,,0,,,,,Risk of Recidivism,8,High,2013-09-27,Risk of Violence,5,Medium,2013-09-27,2014-04-09,2014-04-24,5,18,194,0,1 +1625,deon jackson,deon,jackson,2013-02-19,Male,1994-10-31,21,Less than 25,African-American,0,10,0,0,0,-5,2013-02-14 06:35:26,2013-02-15 07:40:52,13002307CF10A,2013-02-14,,5,F,Grand Theft in the 3rd Degree,1,13015785TC10A,(M2),0,2013-04-11,Operating W/O Valid License,2013-04-11,2013-04-12,,1,14009181MM10A,(M1),2014-06-10,Battery,Risk of Recidivism,10,High,2013-02-19,Risk of Violence,9,High,2013-02-19,2013-04-11,2013-04-12,0,0,51,1,1 +1626,matthew watson,matthew,watson,2013-04-27,Male,1990-02-27,26,25 - 45,African-American,0,3,0,0,0,-1,2013-04-26 05:44:15,2013-04-27 08:57:11,13006012CF10A,2013-04-26,,1,F,Carrying Concealed Firearm,1,14000326CF10A,(F3),1,2014-01-08,"Poss3,4 Methylenedioxymethcath",2014-01-09,2014-01-10,,0,,,,,Risk of Recidivism,3,Low,2013-04-27,Risk of Violence,3,Low,2013-04-27,2014-01-09,2014-01-10,0,0,256,1,1 +1627,yashell eaton,yashell,eaton,2013-01-30,Female,1991-10-10,24,Less than 25,African-American,0,3,0,0,1,279,2013-11-05 01:27:08,2013-11-19 05:29:00,12018695CF10A,2012-12-26,,35,F,Aggravated Assault W/dead Weap,1,15002706MM20A,(M1),,2015-10-15,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-30,Risk of Violence,4,Low,2013-01-30,2013-11-05,2013-11-19,1,0,279,0,0 +1629,berton michel,berton,michel,2014-02-09,Male,1988-09-09,27,25 - 45,African-American,0,5,0,0,2,-1,2014-02-08 07:03:51,2014-03-01 05:08:57,14001777CF10A,2014-02-08,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-09,Risk of Violence,4,Low,2014-02-09,2014-02-08,2014-03-01,2,20,782,0,0 +1630,elexis garcia,elexis,garcia,2013-05-25,Female,1966-06-14,49,Greater than 45,Caucasian,0,5,0,0,4,0,2013-05-25 12:09:30,2013-05-29 05:21:54,12010393CF10A,,2013-05-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-25,Risk of Violence,1,Low,2013-05-25,2013-05-25,2013-05-29,4,4,1042,0,0 +1631,raymond rakoski,raymond,rakoski,2013-10-08,Male,1968-06-09,47,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-10-07 11:30:18,2013-10-08 08:26:31,13014082CF10A,2013-10-07,,1,F,Possession of Cocaine,1,15003313MM10A,(M1),0,2015-03-20,Battery,2015-03-20,2015-07-28,,1,15003313MM10A,(M1),2015-03-20,Battery,Risk of Recidivism,3,Low,2013-10-08,Risk of Violence,1,Low,2013-10-08,2015-03-20,2015-07-28,1,0,528,1,1 +1632,josue pierre,josue,pierre,2014-05-30,Male,1985-12-28,30,25 - 45,African-American,0,10,0,0,8,-1,2014-05-29 10:12:37,2014-05-31 03:35:37,14007471CF10A,2014-05-29,,1,F,Possession of Cocaine,1,14021382MU10A,(M1),0,2014-06-09,Possess Cannabis/20 Grams Or Less,2014-06-09,2014-10-11,,0,,,,,Risk of Recidivism,10,High,2014-05-30,Risk of Violence,5,Medium,2014-05-30,2014-06-09,2014-10-11,8,1,10,1,1 +1634,moris lucero,moris,lucero,2013-03-30,Male,1971-11-15,44,25 - 45,Caucasian,0,1,0,0,3,0,2013-03-30 04:02:21,2013-03-30 08:06:38,13004561CF10A,2013-03-30,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-30,2013-03-30,3,0,1098,0,0 +1637,dakenson placide,dakenson,placide,2013-06-10,Male,1981-12-09,34,25 - 45,African-American,0,1,0,0,1,-17,2013-05-24 11:07:40,2013-05-26 01:55:21,13007416CF10A,2013-05-24,,17,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-10,Risk of Violence,1,Low,2013-06-10,2013-05-24,2013-05-26,1,0,1026,0,0 +1638,fernando walker,fernando,walker,2013-10-04,Male,1970-09-18,45,Greater than 45,African-American,0,3,0,0,10,-1,2013-10-03 02:44:50,2013-10-04 08:37:26,13013909CF10A,2013-10-03,,1,F,Aggrav Battery w/Deadly Weapon,1,15054085TC40A,(M2),,2015-09-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-04,Risk of Violence,1,Low,2013-10-04,2013-10-03,2013-10-04,10,0,706,1,1 +1639,harold coronado-cruz,harold,coronado-cruz,2013-12-13,Male,1977-08-04,38,25 - 45,Hispanic,0,4,0,0,0,-1,2013-12-12 01:10:17,2013-12-13 03:24:28,13017189CF10A,2013-12-12,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-13,Risk of Violence,5,Medium,2013-12-13,2013-12-12,2013-12-13,0,0,840,0,0 +1640,michael phelan,michael,phelan,2013-01-03,Male,1965-05-08,50,Greater than 45,Caucasian,0,1,0,0,2,0,2013-01-03 02:20:43,2013-01-03 10:00:03,13000195MM10A,2013-01-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-03,2013-01-03,2,0,1184,0,0 +1642,preston roman,preston,roman,2014-03-18,Male,1986-10-09,29,25 - 45,Caucasian,0,6,0,0,1,0,2014-03-18 03:06:23,2014-03-18 08:25:34,14004701MM10A,2014-03-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-18,Risk of Violence,4,Low,2014-03-18,2014-03-18,2014-03-18,1,0,745,0,0 +1643,lance hayes,lance,hayes,2013-04-27,Male,1989-12-12,26,25 - 45,Caucasian,0,4,0,0,0,0,2013-04-27 02:42:38,2013-04-27 07:36:35,13006071CF10A,2013-04-27,,0,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,4,Low,2013-04-27,2013-04-27,2013-04-27,0,0,1070,0,0 +1644,randy garciagarcia,randy,garciagarcia,2013-11-29,Male,1971-06-08,44,25 - 45,Hispanic,0,1,0,0,2,,,,10008298MM10A,,2011-07-13,870,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-29,Risk of Violence,1,Low,2013-11-29,,,2,0,854,0,0 +1645,lureine faustin,lureine,faustin,2014-04-03,Female,1993-10-31,22,Less than 25,African-American,0,6,0,0,1,-1,2014-04-02 07:18:56,2014-04-03 08:35:35,14004601CF10A,2014-04-02,,1,F,Grand Theft in the 3rd Degree,1,15044948TC20A,(M2),,2015-07-24,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2014-04-03,Risk of Violence,6,Medium,2014-04-03,2014-07-17,2014-07-17,1,0,105,0,1 +1646,maximo castro,maximo,castro,2013-04-05,Male,1968-09-12,47,Greater than 45,Hispanic,0,1,0,0,0,0,2013-04-05 02:12:18,2013-04-06 05:06:49,13006562MM10A,2013-04-05,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-05,2013-04-06,0,1,1092,0,0 +1648,lonny paul,lonny,paul,2013-11-16,Male,1966-12-21,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-16 02:12:56,2013-11-16 08:03:22,13015923CF10A,2013-11-16,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-16,Risk of Violence,1,Low,2013-11-16,2013-11-16,2013-11-16,0,0,867,0,0 +1651,bernard crenshaw,bernard,crenshaw,2013-03-13,Male,1967-02-23,49,Greater than 45,African-American,0,3,0,0,1,0,2013-03-13 01:26:25,2013-04-01 09:47:06,13003696CF10A,2013-03-13,,0,F,Resist Officer w/Violence,1,13007610CF10A,(M2),0,2013-05-28,Trespass Structure/Conveyance,2013-05-28,2013-08-02,,1,13007610CF10A,(F3),2013-05-28,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,2013-05-28,2013-08-02,1,19,76,1,1 +1652,robert reeves,robert,reeves,2013-03-21,Male,1957-01-13,59,Greater than 45,Caucasian,0,1,0,0,2,0,2013-03-21 12:43:41,2013-04-03 07:34:10,13003954CF10A,,2013-03-21,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-03-21,2013-04-03,2,13,1107,0,0 +1653,christian hughes,christian,hughes,2013-11-22,Male,1983-12-30,32,25 - 45,Caucasian,0,5,0,0,6,-29,2013-10-24 12:41:00,2013-11-21 09:37:40,13020104MM10A,2013-10-23,,30,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-22,Risk of Violence,4,Low,2013-11-22,2013-10-24,2013-11-21,6,0,861,0,0 +1655,courtland rich,courtland,rich,2013-01-22,Male,1992-04-04,24,Less than 25,African-American,0,2,0,2,1,0,2013-01-22 12:22:03,2013-01-22 01:49:40,13003080TC10A,2013-01-21,,1,M,Susp Drivers Lic 1st Offense,1,14002053CF10A,(F2),0,2014-02-13,Aggravated Battery / Pregnant,2014-02-13,2014-02-14,,1,14002053CF10A,(F2),2014-02-13,Aggravated Battery / Pregnant,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,4,Low,2013-01-22,2014-02-13,2014-02-14,1,0,387,1,1 +1656,alberto lorenzo-luaces,alberto,lorenzo-luaces,2014-01-06,Male,1975-08-24,40,25 - 45,Hispanic,0,2,0,0,0,-2,2014-01-04 01:41:51,2014-01-05 08:41:28,14000372MU10A,2014-01-03,,3,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-04,2014-01-05,0,0,816,0,0 +1657,timothy davis,timothy,davis,2013-02-02,Male,1983-10-19,32,25 - 45,African-American,0,1,0,0,0,0,2013-02-02 12:08:15,2013-02-02 05:41:52,13001647CF10A,2013-02-01,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-02,Risk of Violence,2,Low,2013-02-02,2013-02-02,2013-02-02,0,0,1154,0,0 +1658,roxana ebanks,roxana,ebanks,2013-05-20,Female,1961-06-28,54,Greater than 45,Hispanic,0,1,0,0,0,0,2013-05-20 03:07:28,2013-05-20 07:36:27,13009723MM10A,2013-05-20,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-20,Risk of Violence,1,Low,2013-05-20,2013-05-20,2013-05-20,0,0,1047,0,0 +1660,tommy turner,tommy,turner,2013-02-06,Male,1988-09-13,27,25 - 45,African-American,0,10,0,1,9,-1,2013-02-05 11:27:02,2015-04-16 06:28:26,12016850CF10A,,2013-02-06,0,F,arrest case no charge,1,13003421CF10A,(F3),,2013-03-06,Fraudulent Use Credit Card,,,,1,13003421CF10A,(F1),2013-03-06,Robbery W/Deadly Weapon,Risk of Recidivism,10,High,2013-02-06,Risk of Violence,5,Medium,2013-02-06,2013-02-05,2015-04-16,9,0,28,1,1 +1663,magda ramos,magda,ramos,2013-02-12,Female,1975-10-09,40,25 - 45,Hispanic,0,1,0,0,1,,,,12023207MM10A,2012-11-11,,93,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-12,Risk of Violence,1,Low,2013-02-12,,,1,0,1144,0,0 +1664,jose diz,jose,diz,2013-02-07,Male,1991-01-28,25,25 - 45,Caucasian,0,8,0,0,2,0,2013-02-07 03:40:18,2013-02-19 08:46:34,13005872TC10A,2013-02-07,,0,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-07,Risk of Violence,4,Low,2013-02-07,2014-07-17,2014-07-24,2,12,525,0,0 +1665,ephrain caneus,ephrain,caneus,2013-03-27,Male,1982-03-07,34,25 - 45,African-American,0,6,0,0,1,,,,08003375MM20A,2008-10-14,,1625,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,7,Medium,2013-03-27,,,1,0,1101,0,0 +1666,cynthia nelson,cynthia,nelson,2013-12-06,Female,1953-08-30,62,Greater than 45,Caucasian,0,1,0,0,2,-42,2013-10-25 01:50:43,2013-12-05 09:19:58,13014937CF10A,2013-10-24,,43,F,Aggravated Assault W/o Firearm,1,14000733MM30A,(M1),,2014-04-23,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2014-12-08,2014-12-13,2,0,138,1,1 +1667,richard carmichael,richard,carmichael,2014-10-20,Male,1995-10-25,20,Less than 25,Caucasian,0,5,0,0,0,-1,2014-10-19 08:36:27,2014-10-20 01:41:49,14015213MM10A,2014-10-19,,1,M,Battery,1,14016480MM10A,(M1),0,2014-11-18,Possess Cannabis/20 Grams Or Less,2014-11-18,2014-11-19,,0,,,,,Risk of Recidivism,5,Medium,2014-10-20,Risk of Violence,6,Medium,2014-10-20,2014-11-18,2014-11-19,0,0,29,1,1 +1668,michael mason,michael,mason,2013-03-26,Male,1979-04-08,37,25 - 45,African-American,2,9,0,0,18,-1,2013-03-25 05:57:23,2013-03-26 07:50:11,13007842MM10A,2013-02-27,,27,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-26,Risk of Violence,9,High,2013-03-26,2013-05-16,2013-05-17,18,0,51,0,0 +1669,jasmine jacques,jasmine,jacques,2013-01-29,Female,1985-12-23,30,25 - 45,Caucasian,0,10,0,0,5,0,2013-01-29 04:34:17,2013-02-05 09:30:35,13001417CF10A,2013-01-29,,0,F,Tampering With Physical Evidence,1,13017998MM10A,(M1),0,2013-09-21,Unlaw Use False Name/Identity,2013-09-21,2013-10-21,,0,,,,,Risk of Recidivism,10,High,2013-01-29,Risk of Violence,8,High,2013-01-29,2013-09-21,2013-10-21,5,7,235,1,1 +1670,kevin eason,kevin,eason,2013-04-05,Male,1992-09-25,23,Less than 25,African-American,0,6,0,0,1,0,2013-04-05 06:11:22,2013-04-06 05:17:31,13004912CF10A,2013-04-05,,0,F,Unauth Poss ID Card or DL,1,14001386CF10A,(M1),1,2014-01-30,Battery,2014-01-31,2014-03-30,,1,14001386CF10A,(F1),2014-01-30,Aggrav Child Abuse-Causes Harm,Risk of Recidivism,6,Medium,2013-04-05,Risk of Violence,6,Medium,2013-04-05,2014-01-08,2014-01-09,1,1,278,0,1 +1672,tequisha bradley,tequisha,bradley,2014-03-23,Female,1996-02-27,20,Less than 25,African-American,0,8,0,0,0,0,2014-03-23 12:24:11,2014-03-23 09:07:20,14004082CF10A,2014-03-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-23,Risk of Violence,7,Medium,2014-03-23,2014-03-23,2014-03-23,0,0,740,0,0 +1673,wesley bates,wesley,bates,2013-11-21,Male,1986-08-27,29,25 - 45,Caucasian,0,7,0,0,7,-67,2013-09-15 11:28:16,2013-10-31 02:34:47,13017571MM10A,2013-09-15,,67,M,Criminal Mischief Damage <$200,1,14001373MM40A,(M2),,2014-02-28,Petit Theft,,,,1,14011195MM10A,(M1),2014-06-13,Assault On Law Enforc Officer,Risk of Recidivism,7,Medium,2013-11-21,Risk of Violence,6,Medium,2013-11-21,2016-03-17,2016-04-08,7,0,99,1,1 +1674,casey jones,casey,jones,2013-09-30,Male,1991-10-02,24,Less than 25,African-American,0,2,0,0,1,-59,2013-08-02 03:49:19,2013-09-29 12:20:02,13010915CF10A,2013-08-01,,60,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-30,Risk of Violence,3,Low,2013-09-30,2013-08-02,2013-09-29,1,0,914,0,0 +1676,alicia weston,alicia,weston,2014-01-07,Female,1961-12-31,54,Greater than 45,Caucasian,0,3,0,0,1,-48,2013-11-20 08:51:44,2013-12-17 04:04:13,13016119CF10A,2013-11-19,,49,M,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-07,Risk of Violence,2,Low,2014-01-07,2013-11-20,2013-12-17,1,0,815,0,0 +1678,fulton pryer,fulton,pryer,2013-02-26,Male,1949-12-21,66,Greater than 45,African-American,0,1,0,0,3,-36,2013-01-21 01:43:02,2013-01-21 08:18:41,13000930CF10A,2013-01-20,,37,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-26,Risk of Violence,1,Low,2013-02-26,2013-06-07,2013-06-08,3,0,101,0,0 +1680,alan cross,alan,cross,2013-03-29,Male,1966-02-13,50,Greater than 45,Caucasian,0,2,0,0,8,-14,2013-03-15 12:34:40,2013-03-27 09:11:27,13003756CF10A,,2013-03-15,14,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-29,Risk of Violence,5,Medium,2013-03-29,2013-03-15,2013-03-27,8,0,1099,0,0 +1681,gerard gay,gerard,gay,2013-02-05,Male,1965-08-18,50,Greater than 45,African-American,0,2,0,0,7,-1,2013-02-04 07:31:30,2013-02-05 01:26:00,13001728CF10A,2013-02-04,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-02-04,2013-02-05,7,0,1151,0,0 +1682,paul sifuentes,paul,sifuentes,2013-04-20,Male,1975-07-19,40,25 - 45,Caucasian,0,1,0,0,3,-1,2013-04-19 04:19:17,2013-04-20 09:50:23,13005624CF10A,2013-04-19,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-20,Risk of Violence,1,Low,2013-04-20,2013-04-19,2013-04-20,3,0,1077,0,0 +1683,krystal strobridge,krystal,strobridge,2013-01-17,Female,1986-01-12,30,25 - 45,African-American,0,7,0,0,4,213,2013-08-18 06:15:00,2013-08-19 05:48:42,11037540TC10A,2011-07-24,,543,M,Operating W/O Valid License,1,13017910MM10A,(M1),0,2013-08-18,Petit Theft $100- $300,2013-08-18,2013-08-19,,1,15001791CF10A,(F3),2015-01-01,Child Abuse,Risk of Recidivism,7,Medium,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2013-08-18,2013-08-19,4,0,213,1,1 +1684,ashley deal,ashley,deal,2013-02-07,Female,1992-01-27,24,Less than 25,Caucasian,0,7,0,0,2,-1,2013-02-06 04:14:19,2013-02-08 08:31:47,12017180CF10A,,2013-02-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-07,Risk of Violence,5,Medium,2013-02-07,2013-07-27,2013-09-06,2,1,170,0,0 +1685,alexander vargas,alexander,vargas,2013-03-25,Male,1991-11-25,24,Less than 25,Hispanic,0,6,0,0,0,0,2013-03-25 05:10:50,2013-03-26 01:48:59,13004307CF10A,2013-03-25,,0,F,Felony Battery,1,13020800MM10A,(M1),614,2013-08-05,Possess Cannabis/20 Grams Or Less,2015-04-11,2015-04-17,,0,,,,,Risk of Recidivism,6,Medium,2013-03-25,Risk of Violence,5,Medium,2013-03-25,2013-03-25,2013-03-26,0,1,133,1,1 +1686,lonnae baker,lonnae,baker,2014-05-09,Female,1992-07-09,23,Less than 25,African-American,0,5,0,0,3,-1,2014-05-08 09:00:55,2014-05-09 01:44:12,14006418CF10A,,2014-05-08,1,F,arrest case no charge,1,14041490TC20A,(M2),55,2014-05-23,Operating W/O Valid License,2014-07-17,2014-07-29,,1,16000543MM10A,(M1),2016-01-16,Battery,Risk of Recidivism,5,Medium,2014-05-09,Risk of Violence,3,Low,2014-05-09,2016-01-17,2016-02-24,3,0,14,1,1 +1688,jovaugh smith,jovaugh,smith,2013-01-26,Male,1991-12-26,24,Less than 25,African-American,0,8,0,0,4,,,,13001812MM10A,2013-01-25,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,1,13007144MM10A,(M1),,2013-04-13,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-01-26,Risk of Violence,5,Medium,2013-01-26,,,4,0,77,1,1 +1689,donald downing,donald,downing,2013-05-05,Male,1962-02-11,54,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-05-04 03:59:27,2013-05-06 04:56:00,13008650MM10A,2013-05-04,,1,M,Operating W/O Valid License,1,14005318TC10A,(M2),0,2014-02-10,Operating W/O Valid License,2014-02-10,2014-02-11,,0,,,,,Risk of Recidivism,1,Low,2013-05-05,Risk of Violence,1,Low,2013-05-05,2014-02-10,2014-02-11,3,1,281,1,1 +1691,demetrius richardson,demetrius,richardson,2013-03-15,Male,1991-03-10,25,25 - 45,Caucasian,0,10,0,2,4,-10,2013-03-05 04:57:56,2013-03-06 08:00:56,13007819MM10A,2013-03-11,,4,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-15,Risk of Violence,7,Medium,2013-03-15,2013-08-12,2013-11-01,4,0,150,0,0 +1692,edy chavarriacalderon,edy,chavarriacalderon,2013-07-26,Male,1969-06-19,46,Greater than 45,Caucasian,0,1,0,0,1,-2,2013-07-24 11:48:45,2013-07-26 10:35:23,13014036MM10A,2013-07-24,,2,M,Viol Pretrial Release Dom Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-26,Risk of Violence,1,Low,2013-07-26,2013-07-24,2013-07-26,1,0,980,0,0 +1696,karen colato,karen,colato,2013-12-02,Female,1980-11-17,35,25 - 45,Hispanic,0,8,0,0,10,-40,2013-10-23 11:36:27,2013-11-23 05:17:01,13016099CF10A,2013-10-23,,40,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-02,Risk of Violence,5,Medium,2013-12-02,2013-10-23,2013-11-23,10,0,851,0,0 +1697,orlando kirlew,orlando,kirlew,2013-01-08,Male,1990-09-07,25,25 - 45,Other,0,5,0,0,1,-1,2013-01-07 07:39:01,2013-09-30 08:47:34,13000289CF10A,2013-01-07,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-08,Risk of Violence,3,Low,2013-01-08,2013-01-07,2013-09-30,1,265,1179,0,0 +1698,vanessa cardellaadams,vanessa,cardellaadams,2013-10-01,Female,1993-06-03,22,Less than 25,Caucasian,0,3,0,0,0,-1,2013-09-30 02:52:30,2013-09-30 02:08:31,13018595MM10A,2013-09-30,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-01,Risk of Violence,4,Low,2013-10-01,2013-09-30,2013-09-30,0,0,913,0,0 +1699,elizabeth velazquezlugo,elizabeth,velazquezlugo,2013-12-13,Female,1983-05-28,32,25 - 45,Caucasian,0,2,0,0,1,-1,2013-12-12 03:30:30,2013-12-14 04:07:22,13017184CF10A,2013-12-12,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-13,Risk of Violence,1,Low,2013-12-13,2013-12-12,2013-12-14,1,1,840,0,0 +1700,kyron jones,kyron,jones,2013-04-27,Male,1990-10-09,25,25 - 45,African-American,0,3,0,0,0,-1,2013-04-26 03:56:13,2013-04-30 07:29:47,13008102MM10A,2013-04-26,,1,M,Resist/Obstruct W/O Violence,1,14000528MM10A,(M1),0,2014-01-09,Possess Cannabis/20 Grams Or Less,2014-01-09,2014-01-10,,0,,,,,Risk of Recidivism,3,Low,2013-04-27,Risk of Violence,4,Low,2013-04-27,2014-01-09,2014-01-10,0,3,257,1,1 +1701,samuel jeanhilaire,samuel,jeanhilaire,2014-02-12,Male,1993-06-11,22,Less than 25,African-American,0,8,0,0,3,50,2014-04-03 09:47:29,2014-04-03 08:42:21,12000890CF10A,,2013-04-10,308,F,arrest case no charge,1,14016017CF10A,(M1),1,2014-11-30,Resist/Obstruct W/O Violence,2014-12-01,2015-02-26,,0,,,,,Risk of Recidivism,8,High,2014-02-12,Risk of Violence,7,Medium,2014-02-12,2014-04-03,2014-04-03,3,0,50,0,1 +1702,frantz lamour,frantz,lamour,2013-06-03,Male,1983-01-31,33,25 - 45,African-American,0,9,0,0,16,-2,2013-06-01 11:00:47,2013-06-02 08:14:30,13007802CF10A,2013-06-01,,2,F,Driving While License Revoked,1,14004154CF10A,(M1),0,2014-03-24,Unlaw Pos of Prson ID of another,2014-03-24,2014-03-29,,0,,,,,Risk of Recidivism,9,High,2013-06-03,Risk of Violence,3,Low,2013-06-03,2014-03-24,2014-03-29,16,0,294,1,1 +1704,susana colon,susana,colon,2013-01-01,Female,1966-10-17,49,Greater than 45,Caucasian,0,1,0,0,0,127,2013-05-08 04:33:15,2013-05-08 07:17:27,13000006MM10A,2012-12-31,,1,M,Battery,1,13008901MO10A,(MO3),0,2013-05-08,Disorderly Conduct,2013-05-08,2013-05-08,,0,,,,,Risk of Recidivism,1,Low,2013-01-01,Risk of Violence,1,Low,2013-01-01,2013-05-08,2013-05-08,0,0,127,0,1 +1705,donte dixon,donte,dixon,2013-08-22,Male,1986-01-30,30,25 - 45,African-American,0,5,0,0,10,92,2013-11-22 07:21:10,2014-03-07 12:51:28,12006838CF10A,,2013-02-05,198,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-22,Risk of Violence,7,Medium,2013-08-22,2013-11-22,2014-03-07,10,0,92,0,0 +1706,andy wells,andy,wells,2014-06-02,Male,1983-03-08,33,25 - 45,African-American,0,5,0,0,4,-1,2014-06-01 09:28:27,2014-06-03 03:12:10,14008729MM10A,2014-06-01,,1,M,Battery,1,14011982MM10A,(M1),1,2014-08-06,Battery,2014-08-07,2014-08-08,,1,14011982MM10A,(M1),2014-08-06,Battery,Risk of Recidivism,5,Medium,2014-06-02,Risk of Violence,6,Medium,2014-06-02,2014-06-01,2014-06-03,4,1,65,1,1 +1707,nolasco pena,nolasco,pena,2013-01-03,Male,1991-06-22,24,Less than 25,African-American,0,2,0,0,0,0,2013-01-03 12:11:06,2013-01-03 07:16:21,13000095CF10A,2013-01-02,,1,F,Poss Unlaw Issue Driver Licenc,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-03,Risk of Violence,3,Low,2013-01-03,2013-01-03,2013-01-03,0,0,1184,0,0 +1709,jason desmangles,jason,desmangles,2014-02-11,Male,1982-11-19,33,25 - 45,African-American,0,9,0,1,12,-1,2014-02-10 04:52:50,2014-02-12 09:28:02,14002281MM10A,2014-02-10,,1,M,Battery,1,14009973MM10A,(M1),0,2014-06-26,Viol Pretrial Release Dom Viol,2014-06-26,2014-07-16,,0,,,,,Risk of Recidivism,9,High,2014-02-11,Risk of Violence,7,Medium,2014-02-11,2014-06-26,2014-07-16,12,1,135,1,1 +1710,marc corley,marc,corley,2013-04-01,Male,1978-07-20,37,25 - 45,Caucasian,0,2,0,0,0,-1,2013-03-31 03:19:09,2013-04-01 01:49:26,13006170MM10A,2013-03-30,,2,M,Susp Drivers Lic 1st Offense,1,15004715CF10A,(F3),-1,2015-04-10,Grand Theft in the 3rd Degree,2015-04-09,2015-04-11,,0,,,,,Risk of Recidivism,2,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2015-04-09,2015-04-11,0,0,739,1,0 +1711,christina garrison,christina,garrison,2014-01-07,Female,1976-01-29,40,25 - 45,Caucasian,0,1,0,0,0,0,2014-01-07 02:07:12,2014-01-07 08:02:01,14000280MM10A,2014-01-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-01-07,2014-01-07,0,0,815,0,0 +1714,marsell mccullough,marsell,mccullough,2013-04-30,Male,1989-01-02,27,25 - 45,Caucasian,0,10,0,0,1,506,2014-09-18 12:45:14,2015-05-06 04:54:06,12004080CF10A,2012-03-17,,409,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-30,Risk of Violence,10,High,2013-04-30,2014-09-18,2015-05-06,1,0,506,0,0 +1715,earl williams,earl,williams,2013-03-25,Male,1972-07-16,43,25 - 45,African-American,0,6,0,0,9,-1,2013-03-24 08:22:40,2013-03-25 07:55:14,13005794CF10A,2013-03-24,,1,F,Felony Battery,1,13005994MM10A,(M1),0,2013-03-27,Viol Prot Injunc Repeat Viol,2013-03-27,2013-06-14,,1,15006683MM10A,(M1),2015-06-21,Battery,Risk of Recidivism,6,Medium,2013-03-25,Risk of Violence,2,Low,2013-03-25,2013-03-27,2013-06-14,9,0,2,1,1 +1716,chad bouma,chad,bouma,2013-09-16,Male,1989-08-31,26,25 - 45,Caucasian,0,4,0,0,11,-56,2013-07-22 06:01:53,2013-09-16 12:04:00,13011493CF10A,,2013-08-14,33,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-16,Risk of Violence,3,Low,2013-09-16,2013-07-22,2013-09-16,11,0,928,0,0 +1717,norence baker,norence,baker,2013-09-06,Male,1980-09-21,35,25 - 45,African-American,0,6,0,0,5,-1,2013-09-05 12:06:51,2013-09-07 02:41:31,13012549CF10A,2013-09-05,,1,F,Driving While License Revoked,1,14006802TC10A,(M1),156,2014-01-25,Opert With Susp DL 2nd Offens,2014-06-30,2014-07-12,,0,,,,,Risk of Recidivism,6,Medium,2013-09-06,Risk of Violence,7,Medium,2013-09-06,2013-09-05,2013-09-07,5,1,141,1,1 +1718,justin floyd,justin,floyd,2013-05-21,Male,1991-01-26,25,25 - 45,African-American,0,9,1,0,11,-1,2013-05-20 05:02:22,2013-05-27 02:35:13,13007190CF10A,2013-05-20,,1,F,Grand Theft in the 3rd Degree,1,13014216CF10A,(F3),0,2013-10-10,Aggravated Assault W/Dead Weap,2013-10-10,2014-06-19,,1,13014216CF10A,(F3),2013-10-10,Aggravated Assault W/Dead Weap,Risk of Recidivism,9,High,2013-05-21,Risk of Violence,8,High,2013-05-21,2013-10-10,2014-06-19,11,6,142,1,1 +1719,christopher dada,christopher,dada,2014-02-18,Male,1954-05-29,61,Greater than 45,African-American,0,1,0,0,1,0,2014-02-18 02:36:01,2014-02-18 08:33:12,14002279CF10A,2014-02-17,,1,F,Felony Driving While Lic Suspd,1,15024961TC40A,(M2),,2015-04-15,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-18,Risk of Violence,1,Low,2014-02-18,2014-02-18,2014-02-18,1,0,421,1,1 +1724,jeffrey basham,jeffrey,basham,2013-09-27,Male,1963-02-27,53,Greater than 45,Caucasian,0,6,0,0,1,-246,2013-01-24 05:33:23,2013-03-16 05:49:00,13001168CF10A,,2013-01-24,246,F,arrest case no charge,1,15008489TC20A,(M2),,2015-01-28,Unlaw LicTag/Sticker Attach,,,,1,15009771MO10A,(MO3),2015-09-04,Battery,Risk of Recidivism,6,Medium,2013-09-27,Risk of Violence,2,Low,2013-09-27,2013-01-24,2013-03-16,1,0,488,1,1 +1725,yesenia rosas,yesenia,rosas,2013-01-24,Female,1989-03-04,27,25 - 45,Hispanic,0,3,0,0,0,,,,13001074CF10A,2013-01-23,,1,F,Grand Theft in the 3rd Degree,1,15018081TC20A,(M2),,2015-03-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,,,0,0,777,1,0 +1727,patsy kennedy,patsy,kennedy,2013-02-20,Female,1964-02-12,52,Greater than 45,African-American,0,1,0,0,1,-28,2013-01-23 11:28:00,2013-01-24 05:00:54,13001073CF10A,2013-01-23,,28,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-01-23,2013-01-24,1,0,1136,0,0 +1728,john mccabe,john,mccabe,2013-02-06,Male,1989-11-16,26,25 - 45,Caucasian,0,9,0,0,7,81,2013-04-28 09:16:12,2013-09-19 05:44:37,12022505MM10A,2012-10-31,,98,M,Petit Theft,1,13006449CF10A,(F3),,2013-04-01,False Ownership Info/Pawn Item,,,,0,,,,,Risk of Recidivism,9,High,2013-02-06,Risk of Violence,7,Medium,2013-02-06,2014-07-20,2014-07-25,7,0,54,1,1 +1729,kenneth boyd,kenneth,boyd,2013-04-08,Male,1976-07-28,39,25 - 45,African-American,0,2,0,0,1,0,2013-04-08 12:51:19,2013-04-08 10:06:09,13006650MM10A,2013-04-07,,1,M,Possess Cannabis/20 Grams Or Less,1,14002514TC10A,(M2),,2013-08-20,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2013-04-08,2013-04-08,1,0,134,1,1 +1730,arthur mcqueen,arthur,mcqueen,2014-03-04,Male,1968-08-25,47,Greater than 45,African-American,0,4,0,0,5,-1,2014-03-03 09:34:24,2014-03-04 09:28:47,14005532MM10A,,2014-03-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-04,Risk of Violence,1,Low,2014-03-04,2014-03-03,2014-03-04,5,0,759,0,0 +1731,kenneth cash,kenneth,cash,2013-02-08,Male,1966-01-03,50,Greater than 45,Caucasian,0,1,0,0,1,,,,12013597CF10A,2012-09-14,,147,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-08,Risk of Violence,1,Low,2013-02-08,,,1,0,1148,0,0 +1733,brenda inman,brenda,inman,2013-05-23,Female,1963-06-17,52,Greater than 45,Caucasian,0,7,0,0,6,0,2013-05-23 01:18:11,2013-06-25 08:29:01,08017042MM10A,2008-05-17,,1832,M,Theft/To Deprive,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-23,Risk of Violence,2,Low,2013-05-23,2013-05-23,2013-06-25,6,33,1044,0,0 +1734,vanessa albino,vanessa,albino,2013-01-02,Female,1974-07-20,41,25 - 45,Caucasian,0,1,0,0,0,,,,12026484MM10A,2012-12-30,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,,,0,0,1185,0,0 +1735,jeffrey dolgan,jeffrey,dolgan,2014-02-03,Male,1978-11-13,37,25 - 45,Caucasian,0,1,0,0,0,0,2014-02-03 03:16:01,2014-02-03 08:15:52,14001871MM10A,2014-02-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,2,Low,2014-02-03,2014-02-03,2014-02-03,0,0,788,0,0 +1736,laque vallejo,laque,vallejo,2013-08-23,Female,1992-02-09,24,Less than 25,African-American,0,7,0,0,0,-1,2013-08-22 07:13:26,2013-08-23 07:19:05,13011801CF10A,2013-08-22,,1,F,Retail Theft $300 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-23,Risk of Violence,5,Medium,2013-08-23,2013-08-22,2013-08-23,0,0,952,0,0 +1737,moeshae reed,moeshae,reed,2013-09-10,Female,1981-09-09,34,25 - 45,African-American,0,9,0,0,14,-1,2013-09-09 10:18:23,2013-09-13 08:09:26,13012724CF10A,2013-09-09,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-10,Risk of Violence,8,High,2013-09-10,2014-07-17,2014-08-20,14,3,310,0,0 +1741,laricky asbury,laricky,asbury,2013-02-09,Male,1991-12-22,24,Less than 25,African-American,0,6,0,0,5,86,2013-05-06 07:41:47,2013-08-31 05:22:18,13001995CF10A,2013-02-08,,1,F,Uttering a Forged Instrument,1,13006469CF10A,(M1),0,2013-05-06,Resist/Obstruct W/O Violence,2013-05-06,2013-08-31,,0,,,,,Risk of Recidivism,6,Medium,2013-02-09,Risk of Violence,4,Low,2013-02-09,2013-05-06,2013-08-31,5,0,86,1,1 +1742,tercel reckley,tercel,reckley,2013-08-16,Male,1995-07-15,20,Less than 25,Other,0,4,0,0,0,-1,2013-08-15 12:33:08,2013-08-27 08:48:53,13011472CF10A,2013-08-15,,1,M,Burglary Dwelling Occupied,1,15023345TC10A,(M2),,2015-07-22,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-16,Risk of Violence,7,Medium,2013-08-16,2013-08-15,2013-08-27,0,11,705,1,1 +1746,michael vaia,michael,vaia,2013-05-16,Male,1990-08-25,25,25 - 45,Caucasian,0,3,0,0,1,0,2013-05-16 03:10:52,2013-05-16 08:34:08,13009472MM10A,2013-05-16,,0,M,Possess Cannabis/20 Grams Or Less,1,13036749TC20A,(M2),,2013-06-08,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-16,Risk of Violence,3,Low,2013-05-16,2013-10-06,2014-01-21,1,0,23,1,1 +1747,christopher babecki,christopher,babecki,2013-12-11,Male,1984-05-06,31,25 - 45,Caucasian,0,5,0,0,3,-37,2013-11-04 09:31:52,2013-12-06 11:28:52,13020821MM10A,2013-11-04,,37,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-11,Risk of Violence,7,Medium,2013-12-11,2014-05-21,2014-05-28,3,0,161,0,0 +1749,sheila trovato,sheila,trovato,2013-10-03,Female,1953-10-02,62,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-03 02:12:45,2013-10-03 08:30:26,13018829MM10A,2013-10-02,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-10-03,2013-10-03,0,0,911,0,0 +1750,jordan monagas,jordan,monagas,2014-05-23,Male,1993-02-24,23,Less than 25,Caucasian,0,3,0,0,0,-1,2014-05-22 03:25:55,2014-05-23 10:51:10,14007179CF10A,,2014-05-22,1,F,arrest case no charge,1,15005451CF10A,(F3),0,2015-04-25,Possession of Ethylone,2015-04-25,2015-04-28,,0,,,,,Risk of Recidivism,3,Low,2014-05-23,Risk of Violence,5,Medium,2014-05-23,2015-04-25,2015-04-28,0,0,337,1,1 +1752,cynthia cardoza,cynthia,cardoza,2013-03-20,Female,1956-02-27,60,Greater than 45,Caucasian,0,7,0,0,0,0,2013-03-20 03:59:30,2013-04-02 11:35:13,13004060CF10A,2013-03-20,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-20,Risk of Violence,3,Low,2013-03-20,2013-03-20,2013-04-02,0,13,1108,0,0 +1754,norberto garcia,norberto,garcia,2014-03-03,Male,1980-11-27,35,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-02 08:33:08,2014-03-03 09:10:46,14003572MM10A,2014-03-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-02,2014-03-03,0,0,760,0,0 +1755,samyrah carter,samyrah,carter,2013-10-07,Female,1991-05-12,24,Less than 25,African-American,0,7,0,0,0,-1,2013-10-06 11:32:23,2013-10-07 06:38:36,13014025CF10A,2013-10-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-10-06,2013-10-07,0,0,907,0,0 +1756,catherine capozzi,catherine,capozzi,2014-01-09,Female,1959-08-03,56,Greater than 45,Caucasian,0,2,0,0,1,-60,2013-11-10 03:07:19,2013-11-14 04:25:14,13015656CF10A,,2013-11-10,60,F,arrest case no charge,1,14012699MM10A,(M1),1,2014-08-23,Battery,2014-08-24,2014-09-04,,1,14012699MM10A,(M1),2014-08-23,Battery,Risk of Recidivism,2,Low,2014-01-09,Risk of Violence,1,Low,2014-01-09,2014-08-24,2014-09-04,1,0,226,1,1 +1757,christopher crespo,christopher,crespo,2013-04-26,Male,1985-09-23,30,25 - 45,Caucasian,0,1,0,0,0,0,2013-04-26 04:51:20,2013-04-26 01:38:42,13008070MM10A,2013-04-26,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-26,Risk of Violence,2,Low,2013-04-26,2013-04-26,2013-04-26,0,0,1071,0,0 +1759,derrick key,derrick,key,2013-01-15,Male,1974-08-28,41,25 - 45,Caucasian,0,9,0,0,17,171,2013-07-05 04:18:32,2013-08-21 10:32:00,12014461MM10A,2012-07-13,,186,M,Driving License Suspended,1,14003946CF10A,(F3),1,2014-03-20,Robbery Sudd Snatch No Weapon,2014-03-21,2014-10-01,,1,14003946CF10A,(F3),2014-03-20,Robbery Sudd Snatch No Weapon,Risk of Recidivism,9,High,2013-01-15,Risk of Violence,6,Medium,2013-01-15,2013-07-05,2013-08-21,17,0,171,0,1 +1760,erik jarovits,erik,jarovits,2014-07-05,Male,1980-06-01,35,25 - 45,Caucasian,0,5,0,0,4,-1,2014-07-04 08:09:39,2014-07-05 10:55:53,14009200CF10A,2014-07-04,,1,F,Felony Driving While Lic Suspd,1,15008310MM10A,(M1),0,2015-08-06,Unlaw Use False Name/Identity,2015-08-06,2015-10-23,,0,,,,,Risk of Recidivism,5,Medium,2014-07-05,Risk of Violence,2,Low,2014-07-05,2015-08-06,2015-10-23,4,0,397,1,1 +1764,rachel chamberlain,rachel,chamberlain,2013-12-18,Female,1987-05-31,28,25 - 45,Caucasian,0,4,0,0,0,-1,2013-12-17 03:11:35,2013-12-17 08:52:31,13023371MO10A,2013-12-17,,1,M,Intoxicated/Safety Of Another,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-18,Risk of Violence,3,Low,2013-12-18,2013-12-17,2013-12-17,0,0,835,0,0 +1765,tramail kelly,tramail,kelly,2013-09-18,Male,1993-03-02,23,Less than 25,African-American,0,10,1,0,1,689,2015-08-08 12:21:20,2015-08-12 08:08:19,11026244MO10A,2011-11-16,,672,M,Gambling/Gamb Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-18,Risk of Violence,8,High,2013-09-18,2015-08-08,2015-08-12,1,0,689,0,0 +1768,paulette clarke,paulette,clarke,2013-10-02,Male,1959-06-24,56,Greater than 45,African-American,0,1,0,0,0,-1,2013-10-01 01:21:21,2013-10-02 12:35:21,13013701CF10A,2013-09-30,,2,F,Neglect/Abuse Elderly Person,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-01,2013-10-02,0,0,912,0,0 +1770,yanik palmer,yanik,palmer,2014-02-20,Male,1993-01-06,23,Less than 25,African-American,0,2,0,0,2,-1,2014-02-19 05:21:28,2014-02-20 08:55:32,14002358CF10A,2014-02-19,,1,F,Traffick Amphetamine 28g><200g,1,15000160MM40A,(M1),,2014-11-28,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-20,Risk of Violence,3,Low,2014-02-20,2014-02-19,2014-02-20,2,0,281,1,1 +1771,alberto mosquera,alberto,mosquera,2014-04-07,Male,1995-07-28,20,Less than 25,Hispanic,0,3,0,0,0,-1,2014-04-06 10:44:24,2014-04-07 08:23:47,14004753CF10A,2014-04-06,,1,F,Burglary Unoccupied Dwelling,1,14010208CF10A,(F1),0,2014-07-26,Traffick Oxycodone 14-25 grams,2014-07-26,2014-09-06,,0,,,,,Risk of Recidivism,3,Low,2014-04-07,Risk of Violence,5,Medium,2014-04-07,2014-07-26,2014-09-06,0,0,110,1,1 +1772,jose morales,jose,morales,2013-04-12,Male,1978-05-01,37,25 - 45,Hispanic,0,2,1,0,4,,,,12015794CF10A,,2012-10-25,169,F,arrest case no charge,1,15014332CF10A,(F1),,2015-10-12,Conspire Traffic Illegal Drugs,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,,,4,0,913,1,0 +1774,adam rosario,adam,rosario,2014-03-29,Male,1993-03-01,23,Less than 25,Caucasian,0,2,1,0,1,-1,2014-03-28 11:35:16,2014-03-29 09:58:14,14005385MM10A,2014-03-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-29,Risk of Violence,4,Low,2014-03-29,2014-03-28,2014-03-29,1,0,734,0,0 +1776,lamondrio fields,lamondrio,fields,2013-03-21,Male,1995-03-15,21,Less than 25,African-American,0,9,0,0,0,0,2013-03-21 12:00:45,2013-03-23 07:45:57,13004118CF10A,2013-03-21,,0,F,Burglary Unoccupied Dwelling,1,13016425CF10A,(M1),0,2013-11-25,Resist/Obstruct W/O Violence,2013-11-25,2014-09-11,,0,,,,,Risk of Recidivism,9,High,2013-03-21,Risk of Violence,9,High,2013-03-21,2013-04-29,2013-05-02,0,2,39,0,1 +1777,tamera bankston,tamera,bankston,2013-01-23,Female,1994-07-04,21,Less than 25,African-American,1,7,2,2,3,539,2014-07-16 04:03:46,2014-09-13 05:41:15,12015061CF10A,2012-04-13,,285,F,Grand Theft In The 3Rd Degree,1,15009884MM10A,(M1),1,2015-09-18,Battery,2015-09-19,2015-10-14,,1,15009884MM10A,(M1),2015-09-18,Battery,Risk of Recidivism,7,Medium,2013-01-23,Risk of Violence,8,High,2013-01-23,2014-07-16,2014-09-13,3,0,539,0,0 +1780,portia cooper,portia,cooper,2013-09-06,Female,1981-01-16,35,25 - 45,African-American,0,5,0,0,2,-1,2013-09-05 05:55:01,2013-09-19 09:03:27,08010781CF10A,,2013-09-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-06,Risk of Violence,2,Low,2013-09-06,2013-09-05,2013-09-19,2,13,938,0,0 +1781,brandon burwell,brandon,burwell,2013-03-30,Male,1982-08-20,33,25 - 45,Caucasian,0,3,0,0,3,0,2013-03-30 03:59:43,2013-03-30 08:08:08,13013468TC10A,2013-03-30,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,3,Low,2013-03-30,2013-03-30,2013-03-30,3,0,1098,0,0 +1783,bryan santana,bryan,santana,2013-05-12,Male,1994-06-25,21,Less than 25,Hispanic,0,4,0,0,0,-1,2013-05-11 03:01:10,2013-05-15 07:34:44,13006789CF10A,2013-05-11,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-12,Risk of Violence,6,Medium,2013-05-12,2015-09-02,2015-10-10,0,3,843,0,0 +1786,jeremiah wilson,jeremiah,wilson,2013-02-18,Male,1974-06-17,41,25 - 45,African-American,2,9,1,0,9,-1,2013-02-17 06:51:32,2013-02-18 06:40:08,13003422MO10A,2013-02-17,,1,M,Poss Of Controlled Substance,1,15008152MM10A,(M1),1,2015-08-01,Resist/Obstruct W/O Violence,2015-08-02,2015-08-02,,0,,,,,Risk of Recidivism,9,High,2013-02-18,Risk of Violence,5,Medium,2013-02-18,2015-09-27,2015-09-28,9,0,894,1,0 +1787,keenen stinson,keenen,stinson,2013-10-14,Male,1992-03-13,24,Less than 25,African-American,0,5,0,0,0,-1,2013-10-13 05:01:13,2013-10-17 05:14:26,13014326CF10A,2013-10-13,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-14,Risk of Violence,7,Medium,2013-10-14,2013-10-13,2013-10-17,0,3,900,0,0 +1788,lucas delnegro,lucas,delnegro,2014-10-01,Male,1996-01-22,20,Less than 25,Hispanic,0,10,0,0,2,9,2014-10-10 04:25:42,2015-04-20 11:36:36,14011801CF10A,2014-08-29,,33,F,Burglary Conveyance Unoccup,1,14013695CF10A,(M1),1,2014-10-09,Trespass Struct/Convey Occupy,2014-10-10,2015-04-20,,0,,,,,Risk of Recidivism,10,High,2014-10-01,Risk of Violence,10,High,2014-10-01,2015-12-17,2020-01-01,2,0,8,1,1 +1791,timothy hall,timothy,hall,2013-12-21,Male,1987-07-25,28,25 - 45,African-American,0,8,0,0,9,-1,2013-12-20 04:41:22,2013-12-21 08:55:32,13017577CF10A,2013-12-20,,1,F,"Poss3,4 Methylenedioxymethcath",1,14000501MM10A,(M2),0,2014-01-10,Unlaw LicTag/Sticker Attach,2014-01-10,2014-01-11,,0,,,,,Risk of Recidivism,8,High,2013-12-21,Risk of Violence,4,Low,2013-12-21,2014-01-10,2014-01-11,9,0,20,1,1 +1792,nelson osceola,nelson,osceola,2013-01-19,Male,1990-10-02,25,25 - 45,Native American,0,9,0,0,7,0,2013-01-19 12:25:22,2013-01-20 07:58:22,13000903CF10A,2013-01-19,,0,F,Burglary Conveyance Assault/Bat,1,15004061CF10A,(F3),,2015-03-11,Neglect Child / No Bodily Harm,,,,1,15007467CF10A,(F2),2015-03-19,Neglect Child / Bodily Harm,Risk of Recidivism,9,High,2013-01-19,Risk of Violence,6,Medium,2013-01-19,2015-02-22,2015-02-28,7,1,764,0,0 +1794,darron wilson,darron,wilson,2013-04-13,Male,1966-09-18,49,Greater than 45,African-American,0,2,0,0,3,0,2013-04-13 03:06:25,2013-04-14 04:33:37,13005332CF10A,2013-04-13,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-13,Risk of Violence,1,Low,2013-04-13,2013-04-13,2013-04-14,3,1,1084,0,0 +1795,kassandra cruz,kassandra,cruz,2013-04-24,Female,1993-08-06,22,Less than 25,Hispanic,0,6,0,0,0,0,2013-04-24 03:08:06,2013-04-24 08:19:38,13005902CF10A,2013-04-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-24,Risk of Violence,6,Medium,2013-04-24,2013-04-24,2013-04-24,0,0,1073,0,0 +1796,christopher filius,christopher,filius,2013-11-16,Male,1994-11-08,21,Less than 25,African-American,0,3,0,0,0,-1,2013-11-15 04:52:24,2013-11-17 02:33:00,13015916CF10A,2013-11-15,,1,F,Burglary Conveyance Unoccup,1,15003895MM40A,(M2),9,2015-09-28,Petit Theft,2015-10-07,2015-10-09,,0,,,,,Risk of Recidivism,3,Low,2013-11-16,Risk of Violence,6,Medium,2013-11-16,2013-11-15,2013-11-17,0,1,681,1,1 +1797,ciara mcgriff,ciara,mcgriff,2014-04-02,Female,1988-08-17,27,25 - 45,African-American,0,9,0,0,3,-1,2014-04-01 07:29:54,2014-04-04 09:24:50,14004550CF10A,2014-04-01,,1,F,Grand Theft (Motor Vehicle),1,15006946MM10A,(M1),0,2015-06-28,Misuse Of Wireless 911 System,2015-06-28,2015-07-21,,1,15006946MM10A,(M1),2015-06-28,Battery,Risk of Recidivism,9,High,2014-04-02,Risk of Violence,6,Medium,2014-04-02,2015-06-28,2015-07-21,3,2,452,1,1 +1798,robert boyd,robert,boyd,2013-10-21,Male,1983-08-01,32,25 - 45,African-American,0,7,0,0,4,302,2014-08-19 12:08:06,2015-02-26 05:29:25,11020553CF10A,,2012-02-20,609,F,arrest case no charge,1,14012503MM10A,(M1),0,2014-08-19,Resist/Obstruct W/O Violence,2014-08-19,2015-02-26,,1,15007322CF10A,(F3),2015-04-01,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2013-10-21,Risk of Violence,6,Medium,2013-10-21,2014-08-19,2015-02-26,4,0,302,1,1 +1800,darryl mckinney,darryl,mckinney,2013-12-26,Male,1965-06-22,50,Greater than 45,African-American,0,5,0,0,4,-3,2013-12-23 11:01:49,2013-12-25 12:33:55,13023697MM10A,2013-12-23,,3,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-26,Risk of Violence,2,Low,2013-12-26,2013-12-23,2013-12-25,4,0,827,0,0 +1801,sadieanne bailey,sadieanne,bailey,2014-01-28,Female,1992-10-03,23,Less than 25,African-American,0,3,0,0,0,0,2014-01-28 02:07:15,2014-01-28 08:01:14,14001560MM10A,2014-01-28,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-28,Risk of Violence,3,Low,2014-01-28,2014-01-28,2014-01-28,0,0,794,0,0 +1803,jasmine milan,jasmine,milan,2014-01-05,Male,1981-06-24,34,25 - 45,Caucasian,0,4,0,0,0,-1,2014-01-04 11:00:17,2014-01-05 08:05:12,14000188MM10A,2014-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-05,Risk of Violence,2,Low,2014-01-05,2014-01-04,2014-01-05,0,0,817,0,0 +1804,steve chin,steve,chin,2013-05-29,Male,1980-10-19,35,25 - 45,African-American,0,4,0,0,1,,,,13010257MM10A,2013-05-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-29,Risk of Violence,2,Low,2013-05-29,,,1,0,1038,0,0 +1805,robert heil,robert,heil,2013-01-14,Male,1990-05-03,25,25 - 45,African-American,0,5,0,1,4,-1,2013-01-13 10:38:55,2013-02-15 07:52:11,13000584CF10A,2013-01-13,,1,F,Robbery / No Weapon,1,13003063MM20A,(M1),67,2013-11-14,Possess Cannabis/20 Grams Or Less,2014-01-20,2014-01-21,,0,,,,,Risk of Recidivism,5,Medium,2013-01-14,Risk of Violence,4,Low,2013-01-14,2013-01-13,2013-02-15,4,32,304,1,1 +1806,kenneth warren,kenneth,warren,2013-03-04,Female,1982-09-06,33,25 - 45,Caucasian,0,5,0,0,2,-1,2013-03-03 06:23:24,2013-04-15 10:09:16,13003197CF10A,2013-03-03,,1,F,Criminal Mischief,1,13007519MM10A,(M1),1,2013-04-17,Trespass Other Struct/Convey,2013-04-18,2013-05-10,,0,,,,,Risk of Recidivism,5,Medium,2013-03-04,Risk of Violence,2,Low,2013-03-04,2013-03-03,2013-04-15,2,42,44,1,1 +1809,diego rocha,diego,rocha,2013-08-13,Male,1990-09-13,25,25 - 45,Other,0,4,0,0,1,-1,2013-08-12 08:23:20,2013-10-09 09:34:57,13015229MM10A,2013-08-12,,1,M,Battery,1,14004438MM10A,(M2),,2014-01-12,Petit Theft,,,,1,14013733CF10A,(F2),2014-10-11,Robbery / No Weapon,Risk of Recidivism,4,Low,2013-08-13,Risk of Violence,6,Medium,2013-08-13,2013-08-12,2013-10-09,1,57,152,1,1 +1810,ulises gonzalezsanchez,ulises,gonzalezsanchez,2013-11-03,Male,1985-07-11,30,25 - 45,Hispanic,0,1,0,0,0,-1,2013-11-02 07:39:34,2013-11-03 01:25:34,13020683MM10A,2013-11-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-11-03,0,0,880,0,0 +1815,derek billie,derek,billie,2013-02-10,Male,1974-02-12,42,25 - 45,Native American,0,2,0,0,0,-1,2013-02-09 02:53:17,2013-02-12 05:49:29,13002924MM10A,2013-02-09,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-10,Risk of Violence,1,Low,2013-02-10,2013-02-09,2013-02-12,0,2,1146,0,0 +1816,michele gallander,michele,gallander,2014-12-21,Female,1986-07-28,29,25 - 45,Caucasian,0,10,0,0,11,-3,2014-12-18 09:04:52,2015-01-22 05:51:07,14016768CF10A,2014-12-18,,3,F,Possession of Cocaine,1,15001973MO10A,(MO3),0,2015-02-17,Loiter Solicit Act Prostitute,2015-02-17,2015-02-19,,0,,,,,Risk of Recidivism,10,High,2014-12-21,Risk of Violence,5,Medium,2014-12-21,2015-02-17,2015-02-19,11,32,58,1,1 +1817,alicia holloway,alicia,holloway,2013-08-06,Female,1984-03-03,32,25 - 45,African-American,0,4,0,0,6,-1,2013-08-05 07:44:04,2013-08-09 05:28:08,12012294CF10A,,2013-08-05,1,F,arrest case no charge,1,13001376MM30A,(M2),,2013-10-11,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-06,Risk of Violence,5,Medium,2013-08-06,2013-08-05,2013-08-09,6,3,66,1,1 +1819,beville quintal,beville,quintal,2013-10-02,Male,1991-08-19,24,Less than 25,Other,0,6,0,0,5,-1,2013-10-01 10:04:46,2013-10-02 11:33:20,13013765CF10A,2013-10-01,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-02,Risk of Violence,5,Medium,2013-10-02,2013-10-01,2013-10-02,5,0,912,0,0 +1820,bobby sturdivant,bobby,sturdivant,2013-10-30,Male,1964-04-11,52,Greater than 45,African-American,0,1,0,0,3,-1,2013-10-29 08:09:10,2013-10-30 02:04:02,13015109CF10A,,2013-10-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,2,Low,2013-10-30,2014-12-15,2014-12-15,3,0,411,0,0 +1821,daphne nunez,daphne,nunez,2014-01-13,Female,1989-07-01,26,25 - 45,Caucasian,0,3,0,0,3,-1,2014-01-12 07:47:15,2014-01-13 02:00:29,14000574MM10A,2014-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-13,Risk of Violence,3,Low,2014-01-13,2014-01-12,2014-01-13,3,0,809,0,0 +1822,timothy bouma,timothy,bouma,2014-10-18,Male,1985-02-07,31,25 - 45,Caucasian,0,3,0,0,2,-1,2014-10-17 10:47:13,2014-10-18 09:13:45,14014052CF10A,2014-10-17,,1,F,Possession of Cocaine,1,15016308CF10A,(F3),0,2015-12-21,,2015-12-21,2015-12-22,,0,,,,,Risk of Recidivism,3,Low,2014-10-18,Risk of Violence,2,Low,2014-10-18,2014-12-12,2015-01-22,2,0,55,0,1 +1823,jesus zacarias,jesus,zacarias,2013-03-31,Male,1977-11-22,38,25 - 45,Hispanic,0,1,0,0,0,0,2013-03-31 03:07:51,2013-04-01 06:36:12,13004624CF10A,2013-03-31,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-03-31,2013-04-01,0,1,1097,0,0 +1826,christopher kirwan,christopher,kirwan,2013-04-05,Male,1969-04-04,47,Greater than 45,Caucasian,0,1,0,0,2,,,,13001190TC10A,2012-12-26,,100,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,,,2,0,1092,0,0 +1827,alexander blackshure,alexander,blackshure,2013-08-29,Male,1991-03-23,25,25 - 45,African-American,0,7,0,0,5,77,2013-11-14 09:36:58,2014-01-10 10:22:00,13012145CF10A,,2013-08-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-29,Risk of Violence,5,Medium,2013-08-29,2013-11-14,2014-01-10,5,0,77,0,0 +1829,jorge valenzuela,jorge,valenzuela,2013-03-14,Female,1985-10-22,30,25 - 45,Caucasian,0,5,0,0,0,0,2013-03-14 02:57:45,2013-03-15 06:01:08,13003758CF10A,2013-03-14,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-14,Risk of Violence,2,Low,2013-03-14,2013-03-14,2013-03-15,0,1,1114,0,0 +1830,brion altidor,brion,altidor,2014-09-29,Male,1995-08-30,20,Less than 25,African-American,0,10,0,0,0,-1,2014-09-28 05:46:42,2014-10-02 08:08:29,14014308MM10A,2014-09-28,,1,M,Battery,1,14014114CF10A,(M1),0,2014-10-19,Resist/Obstruct W/O Violence,2014-10-19,2014-11-03,,1,14014114CF10A,(F3),2014-10-19,Aggravated Assault W/Dead Weap,Risk of Recidivism,10,High,2014-09-29,Risk of Violence,10,High,2014-09-29,2014-10-19,2014-11-03,0,3,20,1,1 +1832,ebony taylor,ebony,taylor,2013-01-09,Female,1987-01-12,29,25 - 45,African-American,0,10,0,0,2,64,2013-03-14 01:32:51,2013-03-16 09:48:32,12017819CF10A,2012-12-06,,34,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-09,Risk of Violence,10,High,2013-01-09,2013-03-14,2013-03-16,2,0,64,0,0 +1833,marion rickard,marion,rickard,2013-03-25,Male,1992-04-18,24,Less than 25,Asian,0,3,0,0,0,-1,2013-03-24 09:12:24,2013-03-25 07:15:23,13004274CF10A,2013-03-24,,1,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,4,Low,2013-03-25,2013-03-24,2013-03-25,0,0,1103,0,0 +1834,adrian lesniewski,adrian,lesniewski,2013-02-21,Male,1984-12-04,31,25 - 45,Caucasian,0,4,0,0,0,-1,2013-02-20 08:50:03,2013-05-09 06:18:55,13002580CF10A,2013-02-20,,1,F,Del of JWH-250 2-Methox 1-Pentyl,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-21,Risk of Violence,5,Medium,2013-02-21,2013-02-20,2013-05-09,0,77,1135,0,0 +1840,elisa lamotta,elisa,lamotta,2013-09-23,Female,1961-10-06,54,Greater than 45,Caucasian,0,2,0,0,12,-175,2013-04-01 09:07:35,2013-09-19 09:03:22,13004659CF10A,2013-04-01,,175,F,Purchasing Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-04-01,2013-09-19,12,0,921,0,0 +1841,alexandra spinney,alexandra,spinney,2013-02-21,Female,1979-02-12,37,25 - 45,Caucasian,0,3,0,0,1,-25,2013-01-27 04:29:27,2013-01-28 08:30:45,13001917MM10A,2013-01-27,,25,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-21,Risk of Violence,2,Low,2013-02-21,2013-01-27,2013-01-28,1,0,1135,0,0 +1843,frank perez,frank,perez,2014-06-02,Male,1972-10-02,43,25 - 45,Hispanic,0,2,0,0,0,-4,2014-05-29 03:45:14,2014-05-29 08:54:16,14008614MM10A,2014-05-29,,4,M,Battery,1,15045440TC20A,(M2),,2015-08-10,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,2,Low,2014-06-02,Risk of Violence,1,Low,2014-06-02,2014-05-29,2014-05-29,0,0,434,1,1 +1844,philip patnaude,philip,patnaude,2013-08-26,Male,1966-06-01,49,Greater than 45,Caucasian,0,6,0,0,8,0,2013-08-26 09:29:56,2013-08-30 09:04:11,13012028CF10A,2013-08-26,,0,F,Felony DUI (level 3),1,14002047MM20A,(M1),,2014-07-06,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-26,Risk of Violence,2,Low,2013-08-26,2013-08-26,2013-08-30,8,4,314,1,1 +1845,diana innocent,diana,innocent,2013-02-27,Female,1982-04-29,33,25 - 45,African-American,0,2,0,0,1,-2,2013-02-25 10:43:20,2013-02-26 01:28:27,13002865CF10A,2013-02-25,,2,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-27,Risk of Violence,2,Low,2013-02-27,2013-02-25,2013-02-26,1,0,1129,0,0 +1846,javaris mosley,javaris,mosley,2014-03-27,Male,1995-08-23,20,Less than 25,African-American,0,9,0,0,1,-83,2014-01-03 02:01:50,2014-03-27 10:13:13,14000137CF10A,,2014-02-05,50,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-27,Risk of Violence,8,High,2014-03-27,2014-01-03,2014-03-27,1,0,736,0,0 +1847,mark ramsey,mark,ramsey,2013-03-25,Male,1974-02-25,42,25 - 45,African-American,0,1,0,0,0,0,2013-03-25 12:03:45,2013-03-25 09:43:32,13005748MM10A,2013-03-24,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-06-13,2013-07-12,0,0,80,0,0 +1848,david bartolino,david,bartolino,2014-05-06,Male,1971-07-13,44,25 - 45,Caucasian,0,2,0,0,0,-1,2014-05-05 11:11:08,2014-05-14 08:42:34,14006287CF10A,2014-05-05,,1,F,Unauthorized Interf w/Railroad,1,15019403TC10A,(M2),0,2015-05-20,Susp Drivers Lic 1st Offense,2015-05-20,2015-06-02,,0,,,,,Risk of Recidivism,2,Low,2014-05-06,Risk of Violence,3,Low,2014-05-06,2015-05-20,2015-06-02,0,8,379,1,1 +1849,christopher durham,christopher,durham,2014-05-12,Male,1987-10-29,28,25 - 45,African-American,0,6,0,0,5,-1,2014-05-11 01:52:29,2014-07-01 09:21:31,14004962CF10A,,2014-05-11,1,F,arrest case no charge,1,15009396CF10A,(M2),1,2015-07-20,Susp Drivers Lic 1st Offense,2015-07-21,2015-08-01,,0,,,,,Risk of Recidivism,6,Medium,2014-05-12,Risk of Violence,5,Medium,2014-05-12,2015-01-28,2015-04-04,5,50,261,0,1 +1850,michael gibbons,michael,gibbons,2013-02-14,Male,1983-09-06,32,25 - 45,African-American,0,6,0,0,4,-1,2013-02-13 05:34:20,2014-04-03 06:22:15,13002338CF10A,,2013-02-14,0,F,arrest case no charge,1,15003548MM10A,(M1),308,2015-03-06,Battery,2016-01-08,2016-01-09,,1,15003548MM10A,(M1),2015-03-06,Battery,Risk of Recidivism,6,Medium,2013-02-14,Risk of Violence,7,Medium,2013-02-14,2014-04-03,2014-12-18,4,672,750,1,1 +1852,james harriott,james,harriott,2014-08-17,Male,1987-07-05,28,25 - 45,African-American,0,7,0,0,7,-1,2014-08-16 05:41:44,2014-08-18 02:54:31,14011222CF10A,2014-08-16,,1,F,Aggravated Assault W/Dead Weap,1,14002778MM20A,(M2),,2014-09-04,Poss Of RX Without RX,,,,1,15016452CF10A,(F2),2015-12-25,Aggravated Battery,Risk of Recidivism,7,Medium,2014-08-17,Risk of Violence,6,Medium,2014-08-17,2014-08-16,2014-08-18,7,1,18,1,1 +1853,kenneth hergert,kenneth,hergert,2013-02-14,Male,1977-07-23,38,25 - 45,Caucasian,0,4,0,0,0,0,2013-02-14 05:26:52,2013-07-22 06:55:53,13002326CF10A,2013-02-14,,0,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-14,Risk of Violence,2,Low,2013-02-14,2013-02-14,2013-07-22,0,158,1142,0,0 +1854,varian powell,varian,powell,2013-02-08,Male,1977-08-24,38,25 - 45,African-American,0,4,0,0,3,-1,2013-02-07 08:57:01,2013-02-08 09:37:20,13001917CF10A,2013-02-07,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-08,Risk of Violence,1,Low,2013-02-08,2013-02-07,2013-02-08,3,0,1148,0,0 +1856,kole roundtree,kole,roundtree,2014-03-05,Male,1994-12-24,21,Less than 25,Caucasian,0,4,0,0,1,-301,2013-05-08 04:53:15,2013-05-09 04:31:29,14003062CF10A,2014-03-04,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-05,Risk of Violence,5,Medium,2014-03-05,2013-05-08,2013-05-09,1,0,758,0,0 +1859,nicole moncur,nicole,moncur,2013-02-24,Female,1981-09-15,34,25 - 45,African-American,0,3,0,0,0,-1,2013-02-23 03:07:35,2013-02-24 06:13:24,13003783MM10A,2013-02-23,,1,M,Battery,1,15001319MM20A,(M1),,2015-05-08,Possess Cannabis/20 Grams Or Less,,,,1,15010338CF10A,(F3),2015-08-10,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2013-02-24,Risk of Violence,2,Low,2013-02-24,2015-08-11,2015-10-22,0,0,803,1,0 +1860,stuart tuckus,stuart,tuckus,2013-04-12,Male,1994-08-25,21,Less than 25,Caucasian,0,6,0,0,1,-1,2013-04-11 02:01:15,2013-04-12 08:39:13,13005235CF10A,2013-04-11,,1,F,Possession of Cannabis,1,14003828MM10A,(M1),,2014-02-12,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-12,Risk of Violence,6,Medium,2013-04-12,2014-02-17,2014-04-25,1,0,306,1,1 +1861,francis elysee,francis,elysee,2013-09-04,Male,1979-11-08,36,25 - 45,African-American,0,8,0,0,1,-1,2013-09-03 06:03:33,2013-10-04 09:05:35,13012449CF10A,2013-09-03,,1,F,Possession of Cocaine,1,13014332CF10A,(M1),0,2013-10-13,Resist/Obstruct W/O Violence,2013-10-13,2013-12-20,,0,,,,,Risk of Recidivism,8,High,2013-09-04,Risk of Violence,4,Low,2013-09-04,2013-10-13,2013-12-20,1,30,39,1,1 +1862,andrew mitchell,andrew,mitchell,2013-08-06,Male,1986-10-14,29,25 - 45,African-American,0,2,0,0,0,-1,2013-08-05 02:36:35,2013-08-06 01:30:45,13010966CF10A,2013-08-05,,1,M,Aggravated Battery,1,13069404TC40A,(M2),273,2013-09-29,DWLS Canceled Disqul 1st Off,2014-06-29,2014-06-30,,0,,,,,Risk of Recidivism,2,Low,2013-08-06,Risk of Violence,2,Low,2013-08-06,2014-11-04,2014-11-24,0,0,54,1,1 +1863,jeremy lamar,jeremy,lamar,2014-06-13,Male,1982-01-05,34,25 - 45,African-American,0,6,0,1,3,-1,2014-06-12 07:33:59,2014-06-13 01:37:50,14008168CF10A,2014-06-12,,1,F,Possession of Cocaine,1,14004398MM40A,(M2),,2014-10-09,Solicit ProstitutionViolation,,,,0,,,,,Risk of Recidivism,6,Medium,2014-06-13,Risk of Violence,3,Low,2014-06-13,2014-06-12,2014-06-13,3,0,118,1,1 +1864,evens gustave,evens,gustave,2013-02-22,Male,1977-08-13,38,25 - 45,African-American,0,2,0,0,1,-1,2013-02-21 07:43:08,2013-03-01 08:19:03,12025265MM10A,,2013-02-21,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-22,Risk of Violence,2,Low,2013-02-22,2013-02-21,2013-03-01,1,7,1134,0,0 +1865,mario brown,mario,brown,2013-11-20,Male,1979-11-24,36,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-19 06:28:12,2013-12-14 04:30:00,13016070CF10A,2013-11-19,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-11-19,2013-12-14,0,24,863,0,0 +1866,harold luzon,harold,luzon,2014-01-03,Male,1984-02-11,32,25 - 45,Hispanic,0,2,0,0,0,-6,2013-12-28 04:21:31,2014-01-03 05:33:42,13023903MM10A,2013-12-28,,6,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-03,Risk of Violence,2,Low,2014-01-03,2013-12-28,2014-01-03,0,0,819,0,0 +1868,kamal smith,kamal,smith,2013-05-22,Male,1992-05-02,23,Less than 25,African-American,0,9,0,0,0,-1,2013-05-21 10:03:18,2013-05-22 08:06:02,13009802MM10A,2013-05-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-22,Risk of Violence,8,High,2013-05-22,2013-05-21,2013-05-22,0,0,1045,0,0 +1869,todd hayes,todd,hayes,2013-09-21,Male,1968-07-05,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-20 11:27:11,2013-09-21 08:40:49,13017986MM10A,2013-09-20,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-21,Risk of Violence,1,Low,2013-09-21,2013-09-20,2013-09-21,0,0,923,0,0 +1870,nathaniel heron,nathaniel,heron,2013-10-28,Male,1995-08-23,20,Less than 25,African-American,0,3,0,0,0,0,2013-10-28 04:46:03,2013-10-28 01:37:14,13015047CF10A,2013-10-28,,0,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-28,Risk of Violence,6,Medium,2013-10-28,2013-10-28,2013-10-28,0,0,886,0,0 +1871,shakera collins,shakera,collins,2013-04-21,Female,1990-10-30,25,25 - 45,African-American,0,8,0,0,2,-1,2013-04-20 11:42:08,2013-04-21 01:50:16,13005664CF10A,2013-04-20,,1,F,Battery on Law Enforc Officer,1,14011345MM10A,(M1),0,2014-06-18,Resist/Obstruct W/O Violence,2014-06-18,2014-07-11,,0,,,,,Risk of Recidivism,8,High,2013-04-21,Risk of Violence,8,High,2013-04-21,2014-06-18,2014-07-11,2,0,423,1,1 +1872,jarrell weaver,jarrell,weaver,2013-11-01,Male,1980-12-28,35,25 - 45,African-American,0,1,0,0,0,-1,2013-10-31 02:23:41,2013-11-01 01:40:24,13020575MM10A,2013-10-30,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-01,Risk of Violence,1,Low,2013-11-01,2013-10-31,2013-11-01,0,0,882,0,0 +1873,virgini ocio,virgini,ocio,2013-10-10,Female,1986-03-12,30,25 - 45,Caucasian,0,3,0,0,1,-82,2013-07-20 10:18:05,2013-08-31 06:13:40,13010192CF10A,2013-07-20,,82,F,Possession Of Lorazepam,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-10,Risk of Violence,2,Low,2013-10-10,2013-07-20,2013-08-31,1,0,904,0,0 +1874,nathalie joseph,nathalie,joseph,2014-02-13,Female,1988-01-24,28,25 - 45,Caucasian,0,4,0,0,1,-1,2014-02-12 02:08:55,2014-02-13 08:48:41,14002471MM10A,2014-02-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-13,Risk of Violence,4,Low,2014-02-13,2014-02-12,2014-02-13,1,0,778,0,0 +1875,christopher thurlow,christopher,thurlow,2014-02-21,Male,1985-09-19,30,25 - 45,Caucasian,0,8,0,0,2,-37,2014-01-16 01:58:47,2014-02-21 10:11:59,14000836MM10A,2014-01-16,,36,M,Restraining Order Dating Viol,1,14012594MM10A,(M1),0,2014-08-20,Resist/Obstruct W/O Violence,2014-08-20,2014-08-21,,0,,,,,Risk of Recidivism,8,High,2014-02-21,Risk of Violence,2,Low,2014-02-21,2014-03-31,2014-04-10,2,0,38,0,1 +1876,julie gallardo,julie,gallardo,2013-08-06,Female,1970-12-30,45,Greater than 45,Caucasian,0,3,0,0,3,336,2014-07-08 01:11:12,2014-08-21 11:06:28,12007678MM10A,2012-04-13,,480,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-06,Risk of Violence,2,Low,2013-08-06,2014-07-08,2014-08-21,3,0,336,0,0 +1877,gerald dessalines,gerald,dessalines,2013-05-05,Male,1992-02-18,24,Less than 25,African-American,0,5,0,0,2,-1,2013-05-04 07:09:05,2013-05-05 03:39:33,13000727MM40A,,2013-05-04,1,M,arrest case no charge,1,13013513MM10A,(M1),,2013-07-16,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-05,Risk of Violence,5,Medium,2013-05-05,2015-12-01,2015-12-02,2,0,72,1,1 +1879,roosevelt roberts,roosevelt,roberts,2013-01-15,Male,1994-02-11,22,Less than 25,African-American,0,9,0,0,0,-1,2013-01-14 12:35:16,2013-01-15 06:41:16,13000645CF10A,2013-01-14,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-15,Risk of Violence,9,High,2013-01-15,2013-01-14,2013-01-15,0,0,1172,0,0 +1880,renee sopon,renee,sopon,2013-11-04,Male,1995-05-23,20,Less than 25,Other,0,10,8,1,8,-1,2013-11-03 07:03:06,2013-11-04 08:10:42,13015300CF10A,2013-11-03,,1,F,Driving While License Revoked,1,13015756CF10A,(F3),0,2013-11-13,Driving While License Revoked,2013-11-13,2013-11-13,,1,14001059CF10A,(F2),2014-01-24,Agg Fleeing/Eluding High Speed,Risk of Recidivism,10,High,2013-11-04,Risk of Violence,8,High,2013-11-04,2013-11-13,2013-11-13,8,0,9,0,1 +1881,lydia mosssolomon,lydia,mosssolomon,2013-08-30,Female,1974-04-05,42,25 - 45,African-American,0,1,0,0,0,31,2013-09-30 06:56:01,2013-10-02 09:53:16,13016661MM10A,2013-08-30,,0,M,Battery,1,13020336MM10A,(M1),0,2013-09-30,Battery,2013-09-30,2013-10-02,,1,13013716CF10A,(F2),2013-09-30,Agg Battery Grt/Bod/Harm,Risk of Recidivism,1,Low,2013-08-30,Risk of Violence,1,Low,2013-08-30,2013-09-30,2013-10-02,0,0,31,1,1 +1882,zachary santiago,zachary,santiago,2013-05-08,Male,1991-07-08,24,Less than 25,African-American,1,9,1,0,8,-54,2013-03-15 10:50:11,2013-05-01 10:54:09,09007486CF10A,,2013-03-15,54,F,arrest case no charge,1,13016276CF10A,(F3),0,2013-11-22,Possession Of Lorazepam,2013-11-22,2013-12-04,,1,14003873CF10A,(F3),2014-03-19,Agg Fleeing and Eluding,Risk of Recidivism,9,High,2013-05-08,Risk of Violence,10,High,2013-05-08,2013-11-22,2013-12-04,8,0,198,1,1 +1883,rolfi hernandez,rolfi,hernandez,2014-02-10,Male,1975-06-27,40,25 - 45,Hispanic,0,1,0,0,0,0,2014-02-10 01:41:01,2014-02-10 08:22:50,14002280MM10A,2014-02-10,,0,M,Solic to Commit Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-10,2014-02-10,0,0,781,0,0 +1884,michael rivera,michael,rivera,2013-12-29,Male,1988-11-03,27,25 - 45,Other,0,4,0,0,1,-1,2013-12-28 10:43:59,2014-01-03 08:51:14,13017908CF10A,2013-12-28,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-29,Risk of Violence,4,Low,2013-12-29,2013-12-28,2014-01-03,1,5,824,0,0 +1886,timothy thompson,timothy,thompson,2013-05-03,Male,1955-11-07,60,Greater than 45,African-American,0,3,0,0,12,-1,2013-05-02 10:16:05,2013-05-03 12:40:40,13006304CF10A,2013-05-02,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2014-06-16,2014-06-18,12,0,409,0,0 +1888,jacoby kirksey,jacoby,kirksey,2013-01-26,Male,1983-02-27,33,25 - 45,African-American,0,5,0,0,6,-1,2013-01-25 10:07:00,2013-01-26 07:41:44,13001831MM10A,2013-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-26,Risk of Violence,4,Low,2013-01-26,2013-03-08,2013-03-26,6,0,41,0,0 +1890,michael chance,michael,chance,2014-10-11,Male,1981-09-14,34,25 - 45,African-American,0,4,0,0,2,-1,2014-10-10 11:40:35,2014-11-03 09:34:40,14014870MM10A,2014-10-10,,1,M,Battery,1,15002314MM10A,(M1),0,2015-02-25,Viol Injunction Protect Dom Vi,2015-02-25,2015-02-26,,0,,,,,Risk of Recidivism,4,Low,2014-10-11,Risk of Violence,3,Low,2014-10-11,2015-02-09,2015-02-10,2,23,121,0,1 +1893,anthony petersen,anthony,petersen,2013-03-10,Male,1992-02-22,24,Less than 25,Caucasian,0,8,0,0,4,-1,2013-03-09 08:48:08,2013-03-10 07:11:28,13004746MM10A,2013-03-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-10,Risk of Violence,4,Low,2013-03-10,2013-08-16,2013-08-21,4,0,159,0,0 +1894,antonio lytle,antonio,lytle,2013-08-11,Male,1988-07-28,27,25 - 45,African-American,0,2,0,0,0,-1,2013-08-10 07:25:02,2013-08-12 09:28:08,13015125MM10A,2013-08-10,,1,M,Battery,1,13002867MM20A,(M2),162,2013-09-27,Petit Theft,2014-03-08,2014-03-09,,0,,,,,Risk of Recidivism,2,Low,2013-08-11,Risk of Violence,3,Low,2013-08-11,2013-08-10,2013-08-12,0,1,47,1,1 +1895,marques hawks,marques,hawks,2013-02-07,Male,1987-03-21,29,25 - 45,African-American,1,10,1,1,4,0,2013-02-07 02:10:43,2014-01-28 06:29:27,13001905CF10A,2013-02-06,,1,F,Carjacking with a Firearm,1,13002946CF10A,(F2),,2013-02-25,Poss Wep Conv Felon,,,,1,15014881CF10A,(F2),2015-11-16,Attempted Robbery Firearm,Risk of Recidivism,10,High,2013-02-07,Risk of Violence,9,High,2013-02-07,2013-02-07,2014-01-28,4,0,18,1,1 +1897,dakota gregory,dakota,gregory,2013-03-21,Male,1995-02-10,21,Less than 25,Caucasian,1,7,0,1,1,0,2013-03-21 12:18:03,2013-04-27 07:52:56,13004039CF10A,2013-03-20,,1,F,Deliver Cannabis,1,14004668MM40A,(M1),,2014-10-30,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-21,Risk of Violence,8,High,2013-03-21,2013-05-22,2013-05-24,1,37,62,0,1 +1899,kelby contreras,kelby,contreras,2013-03-07,Male,1983-08-03,32,25 - 45,Hispanic,0,1,0,0,0,-1,2013-03-06 08:29:29,2013-03-07 08:09:09,13004553MM10A,2013-03-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-07,Risk of Violence,1,Low,2013-03-07,2013-03-06,2013-03-07,0,0,1121,0,0 +1900,william king,william,king,2013-03-06,Male,1985-08-29,30,25 - 45,Caucasian,0,5,0,0,10,123,2013-07-07 12:51:23,2013-10-24 09:20:44,12002830CF10A,,2012-02-22,378,F,arrest case no charge,1,13012890MM10A,(M1),0,2013-07-07,Battery,2013-07-07,2013-10-24,,1,13012890MM10A,(M1),2013-07-07,Battery,Risk of Recidivism,5,Medium,2013-03-06,Risk of Violence,2,Low,2013-03-06,2013-07-07,2013-10-24,10,0,123,1,1 +1901,jenice sisco,jenice,sisco,2013-05-12,Female,1974-03-04,42,25 - 45,Caucasian,0,1,0,0,0,-1,2013-05-11 09:23:27,2013-05-12 06:39:56,13006759CF10A,2013-05-11,,1,F,Possession of Cocaine,1,13012011CF10A,(F3),0,2013-08-26,Possession of Cocaine,2013-08-26,2013-10-09,,0,,,,,Risk of Recidivism,1,Low,2013-05-12,Risk of Violence,1,Low,2013-05-12,2013-08-26,2013-10-09,0,0,106,1,1 +1904,kishu ramsay,kishu,ramsay,2013-01-16,Male,1984-01-29,32,25 - 45,African-American,0,4,0,0,1,0,2013-01-16 12:41:51,2013-01-16 06:44:28,13000729CF10A,2013-01-16,,0,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-16,Risk of Violence,3,Low,2013-01-16,2013-01-16,2013-01-16,1,0,1171,0,0 +1905,crystal fallon,crystal,fallon,2013-01-29,Male,1988-06-10,27,25 - 45,Other,0,1,0,0,0,-2,2013-01-27 06:21:47,2013-01-29 10:59:25,13001334CF10A,2013-01-27,,2,F,Robbery / Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,2,Low,2013-01-29,2013-03-26,2013-04-05,0,0,56,0,0 +1906,gregory stinson,gregory,stinson,2013-03-27,Male,1985-10-30,30,25 - 45,Caucasian,0,4,0,0,3,-1,2013-03-26 09:34:36,2013-03-27 01:22:00,13005927MM10A,2013-03-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-03-26,2013-03-27,3,0,1101,0,0 +1907,jonathan barrett,jonathan,barrett,2014-08-14,Male,1994-01-27,22,Less than 25,African-American,0,3,0,0,1,-1,2014-08-13 11:24:08,2014-08-14 08:56:19,14011154CF10A,,2014-08-13,1,F,arrest case no charge,1,15054163TC30A,(M1),,2015-07-30,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,3,Low,2014-08-14,Risk of Violence,5,Medium,2014-08-14,2014-08-13,2014-08-14,1,0,350,1,1 +1908,brian etheridge,brian,etheridge,2013-08-06,Male,1995-05-06,20,Less than 25,Caucasian,0,10,0,0,0,-2,2013-08-04 05:15:36,2013-08-05 02:15:48,13014600MM10A,2013-08-04,,2,M,Battery,1,13015856MM10A,(M1),1,2013-08-20,Tresspass in Struct/Convey Occupy,2013-08-21,2013-09-28,,0,,,,,Risk of Recidivism,10,High,2013-08-06,Risk of Violence,9,High,2013-08-06,2015-08-26,2015-08-26,0,0,14,1,1 +1909,carl feest,carl,feest,2013-10-05,Male,1959-01-06,57,Greater than 45,Caucasian,0,2,0,0,0,0,2013-10-05 03:02:31,2013-10-06 08:39:57,13018963MM10A,2013-10-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-05,Risk of Violence,2,Low,2013-10-05,2013-10-05,2013-10-06,0,1,909,0,0 +1910,james obrien,james,obrien,2013-04-09,Male,1964-05-30,51,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-04-08 04:12:16,2013-04-09 07:06:34,13013150CF10A,2013-04-08,,1,F,Felony Battery (Dom Strang),1,14011102MM10A,(M1),0,2014-07-20,Possess Cannabis/20 Grams Or Less,2014-07-20,2014-07-21,,0,,,,,Risk of Recidivism,1,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-10-03,2013-10-04,3,0,177,0,1 +1913,malcom mckenzie,malcom,mckenzie,2014-03-25,Male,1995-01-26,21,Less than 25,African-American,0,4,0,0,0,-1,2014-03-24 07:15:06,2014-03-25 01:35:56,14004184CF10A,2014-03-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-25,Risk of Violence,6,Medium,2014-03-25,2014-03-24,2014-03-25,0,0,738,0,0 +1914,roshod graham,roshod,graham,2013-11-27,Male,1993-12-28,22,Less than 25,African-American,0,5,0,0,0,-1,2013-11-26 06:06:07,2013-12-31 07:52:49,13016491CF10A,2013-11-26,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-27,Risk of Violence,7,Medium,2013-11-27,2015-06-02,2015-07-03,0,34,552,0,0 +1915,louine martin,louine,martin,2013-04-19,Male,1980-09-28,35,25 - 45,African-American,0,8,0,0,4,-1,2013-04-18 11:00:11,2014-04-07 10:06:51,13005557CF10A,2013-04-18,,1,F,Tampering With Physical Evidence,1,13006450CF10A,(F1),,2013-05-02,Deliver Cocaine 1000FT School,,,,0,,,,,Risk of Recidivism,8,High,2013-04-19,Risk of Violence,3,Low,2013-04-19,2013-04-18,2014-04-07,4,0,13,1,1 +1916,darren lowder,darren,lowder,2013-06-17,Female,1961-08-26,54,Greater than 45,Caucasian,0,2,0,0,1,-95,2013-03-14 04:18:49,2013-05-29 04:45:59,13003730CF10A,2013-03-14,,95,F,Battery Emergency Care Provide,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-17,Risk of Violence,2,Low,2013-06-17,2013-03-14,2013-05-29,1,0,1019,0,0 +1917,william maloy,william,maloy,2013-10-21,Male,1957-08-03,58,Greater than 45,Caucasian,0,3,0,0,2,-9,2013-10-12 08:52:39,2013-10-17 04:51:37,13014297CF10A,2013-10-12,,9,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-21,Risk of Violence,2,Low,2013-10-21,2013-10-12,2013-10-17,2,0,893,0,0 +1919,rachelle lindo,rachelle,lindo,2013-11-11,Female,1983-12-14,32,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-10 11:54:10,2013-11-11 09:30:45,13015650CF10A,2013-11-10,,1,F,Child Abuse,1,13022984MM10A,(M1),,2013-12-10,DUI Level 0.15 Or Minor In Veh,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-11,Risk of Violence,2,Low,2013-11-11,2013-11-10,2013-11-11,0,0,29,1,1 +1921,carmen white,carmen,white,2013-03-14,Female,1976-11-12,39,25 - 45,African-American,0,6,0,0,22,-49,2013-01-24 11:14:19,2013-01-26 05:30:06,13001183CF10A,2013-01-24,,49,F,Possession of Cocaine,1,14028483TC10A,(M2),,2014-06-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-14,Risk of Violence,1,Low,2013-03-14,2014-03-14,2014-04-07,22,0,365,0,1 +1923,sean poirier,sean,poirier,2014-01-19,Male,1985-10-14,30,25 - 45,Caucasian,0,6,0,0,9,-1,2014-01-18 04:24:47,2014-01-25 05:08:49,14000932MM10A,2014-01-18,,1,M,Petit Theft,1,14003135MM10A,(M1),0,2014-02-23,Viol Pretrial Release Dom Viol,2014-02-23,2014-03-25,,0,,,,,Risk of Recidivism,6,Medium,2014-01-19,Risk of Violence,5,Medium,2014-01-19,2014-02-23,2014-03-25,9,6,35,1,1 +1924,kadarell collins,kadarell,collins,2014-07-09,Male,1996-01-01,20,Less than 25,African-American,0,10,0,0,0,-1,2014-07-08 02:25:20,2015-02-02 06:30:23,14009374CF10A,2014-07-08,,1,F,Burglary Unoccupied Dwelling,1,15008251CF10A,(F3),0,2015-06-26,False Imprisonment,2015-06-26,2015-11-10,,1,15008251CF10A,(M1),2015-06-26,Battery,Risk of Recidivism,10,High,2014-07-09,Risk of Violence,10,High,2014-07-09,2015-06-26,2015-11-10,0,208,352,1,1 +1925,roylon coppin,roylon,coppin,2013-01-06,Male,1975-06-21,40,25 - 45,Other,0,1,0,0,0,-1,2013-01-05 08:58:58,2013-01-06 01:15:19,13000258MM10A,2013-01-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2013-01-05,2013-01-06,0,0,1181,0,0 +1926,brenda izzo,brenda,izzo,2013-07-02,Female,1970-06-30,45,Greater than 45,Caucasian,0,2,0,0,5,-1,2013-07-01 03:16:14,2013-07-01 07:50:03,13012569MM10A,2013-06-30,,2,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-02,Risk of Violence,2,Low,2013-07-02,2013-07-01,2013-07-01,5,0,1004,0,0 +1927,kendy alcy,kendy,alcy,2013-09-19,Male,1984-08-24,31,25 - 45,African-American,0,3,0,0,4,-1,2013-09-18 10:28:48,2013-09-19 08:41:56,13004464CF10A,,2013-09-18,1,F,arrest case no charge,1,14006825MM10A,(M2),0,2014-04-11,Susp Drivers Lic 1st Offense,2014-04-11,2014-04-17,,0,,,,,Risk of Recidivism,3,Low,2013-09-19,Risk of Violence,4,Low,2013-09-19,2014-04-11,2014-04-17,4,0,204,1,1 +1928,ivan dejesus,ivan,dejesus,2013-09-20,Male,1993-04-08,23,Less than 25,Hispanic,0,9,0,0,4,-27,2013-08-24 04:52:55,2013-09-20 11:57:40,13011932CF10A,2013-08-24,,27,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-20,Risk of Violence,8,High,2013-09-20,2014-04-22,2014-04-29,4,0,214,0,0 +1929,jonathan ospina,jonathan,ospina,2014-12-09,Male,1989-08-19,26,25 - 45,Hispanic,0,5,0,0,0,-1,2014-12-08 06:04:33,2014-12-11 09:09:32,14017278MM10A,2014-12-08,,1,M,Petit Theft,1,15004191CF10A,(M1),0,2015-03-30,Unlaw Use False Name/Identity,2015-03-30,2015-04-06,,0,,,,,Risk of Recidivism,5,Medium,2014-12-09,Risk of Violence,5,Medium,2014-12-09,2015-03-30,2015-04-06,0,2,111,1,1 +1930,hope avery,hope,avery,2013-04-17,Female,1962-06-17,53,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-04-16 09:32:04,2013-04-17 09:11:10,13007394MM10A,2013-04-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2013-04-16,2013-04-17,1,0,1080,0,0 +1931,lloyd kapell,lloyd,kapell,2014-02-07,Male,1971-10-01,44,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-06 09:12:43,2014-02-08 09:33:59,14001700CF10A,2014-02-06,,1,M,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-07,Risk of Violence,1,Low,2014-02-07,2014-02-06,2014-02-08,0,1,784,0,0 +1938,heidi mione,heidi,mione,2013-04-09,Female,1972-01-28,44,25 - 45,Caucasian,0,5,0,0,1,-6,2013-04-03 11:25:15,2013-04-08 08:29:22,13006437MM10A,2013-04-03,,6,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-09,Risk of Violence,2,Low,2013-04-09,2014-06-16,2014-06-16,1,0,433,0,0 +1939,justin feliciano,justin,feliciano,2014-10-08,Male,1994-04-23,21,Less than 25,Caucasian,0,2,0,0,0,-1,2014-10-07 08:28:00,2014-10-07 08:08:07,14013558CF10A,2014-10-07,,1,F,Obstruct Fire Equipment,1,15001282MM20A,(M1),152,2015-05-07,Possess Cannabis/20 Grams Or Less,2015-10-06,2015-10-12,,0,,,,,Risk of Recidivism,2,Low,2014-10-08,Risk of Violence,5,Medium,2014-10-08,2015-10-06,2015-10-12,0,0,211,1,1 +1941,brian spurgin,brian,spurgin,2013-08-07,Male,1987-05-11,28,25 - 45,African-American,0,1,0,0,0,0,2013-08-07 02:46:35,2013-08-07 07:56:41,13014913MM10A,2013-08-06,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,2,Low,2013-08-07,2013-08-07,2013-08-07,0,0,968,0,0 +1942,rainel garciacoto,rainel,garciacoto,2013-02-13,Male,1987-05-04,28,25 - 45,Caucasian,0,1,0,0,2,-1,2013-02-12 03:30:44,2013-02-13 08:00:37,13003124MM10A,2013-02-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,2,Low,2013-02-13,2013-02-12,2013-02-13,2,0,1143,0,0 +1943,brandon kelly,brandon,kelly,2013-05-25,Male,1991-08-21,24,Less than 25,African-American,0,3,0,0,0,-1,2013-05-24 03:05:19,2013-11-22 05:32:06,13007433CF10A,2013-05-24,,1,F,Possession Burglary Tools,1,13007834CF10A,(F3),,2013-05-30,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-25,Risk of Violence,4,Low,2013-05-25,2013-05-24,2013-11-22,0,0,5,1,1 +1945,leon glen,leon,glen,2013-08-09,Male,1988-01-14,28,25 - 45,African-American,0,2,0,0,0,0,2013-08-09 12:26:04,2013-08-09 08:35:47,13011148CF10A,2013-08-08,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-09,Risk of Violence,3,Low,2013-08-09,2013-08-09,2013-08-09,0,0,966,0,0 +1948,william carlisle,william,carlisle,2013-02-05,Male,1962-10-01,53,Greater than 45,Caucasian,0,1,0,0,4,0,2013-02-05 01:15:32,2013-02-05 01:07:11,13001750CF10A,2013-02-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-06-14,2013-06-15,4,0,129,0,0 +1949,miguel arango,miguel,arango,2013-03-28,Male,1968-09-28,47,Greater than 45,Hispanic,0,5,0,0,1,-1,2013-03-27 10:42:36,2013-09-27 09:55:14,12007727CF10A,,2013-03-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-28,Risk of Violence,3,Low,2013-03-28,2013-03-27,2013-09-27,1,183,1100,0,0 +1951,javionne floyd,javionne,floyd,2014-03-27,Male,1995-05-06,20,Less than 25,African-American,0,3,0,0,1,-24,2014-03-03 02:12:12,2014-03-04 08:49:31,14002997CF10A,2014-03-03,,24,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-27,Risk of Violence,5,Medium,2014-03-27,2014-03-03,2014-03-04,1,0,736,0,0 +1952,jason vallmyr,jason,vallmyr,2013-12-05,Male,1995-03-10,21,Less than 25,African-American,0,6,0,0,0,-6,2013-11-29 12:22:02,2013-11-29 12:51:37,13022298MM10A,2013-11-28,,7,M,Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-05,Risk of Violence,6,Medium,2013-12-05,2013-11-29,2013-11-29,0,0,848,0,0 +1953,nickel thompson,nickel,thompson,2014-08-04,Male,1986-03-05,30,25 - 45,Other,0,2,0,0,1,-1,2014-08-03 04:56:51,2014-08-05 11:09:30,14010589CF10A,2014-08-03,,1,F,Aggravated Assault W/Dead Weap,1,14044638MU10A,(M1),0,2014-12-13,DUI Property Damage/Injury,2014-12-13,2014-12-14,,0,,,,,Risk of Recidivism,2,Low,2014-08-04,Risk of Violence,3,Low,2014-08-04,2014-12-13,2014-12-14,1,1,131,1,1 +1954,gerald russomano,gerald,russomano,2013-10-29,Male,1979-03-10,37,25 - 45,Caucasian,0,1,0,0,1,-1,2013-10-28 10:28:23,2013-10-29 02:11:24,13020396MM10A,2013-10-28,,1,M,Battery,1,15002423CF10A,(F3),1,2015-02-20,Possession of Cocaine,2015-02-21,2015-02-22,,0,,,,,Risk of Recidivism,1,Low,2013-10-29,Risk of Violence,1,Low,2013-10-29,2015-02-21,2015-02-22,1,0,479,1,1 +1955,richard carino,richard,carino,2013-05-07,Male,1956-03-24,60,Greater than 45,Hispanic,0,1,0,0,1,-18,2013-04-19 09:31:28,2013-05-07 10:46:55,13005608CF10A,2013-04-19,,18,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2013-04-19,2013-05-07,1,0,1060,0,0 +1956,aaron villacampa,aaron,villacampa,2014-10-09,Male,1990-01-18,26,25 - 45,Hispanic,0,2,0,0,1,-1,2014-10-08 03:20:45,2014-10-09 02:32:48,14014777MM10A,2014-10-08,,1,M,Battery,1,15000889MM10A,(M1),0,2015-01-23,Viol Pretrial Release Dom Viol,2015-01-23,2015-01-24,,0,,,,,Risk of Recidivism,2,Low,2014-10-09,Risk of Violence,3,Low,2014-10-09,2015-01-23,2015-01-24,1,0,106,1,1 +1957,yoandy vidal,yoandy,vidal,2013-05-11,Male,1986-04-10,30,25 - 45,Caucasian,0,1,0,0,0,-1,2013-05-10 09:23:33,2013-05-11 06:40:57,13009093MM10A,2013-05-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-11,Risk of Violence,2,Low,2013-05-11,2013-05-10,2013-05-11,0,0,1056,0,0 +1961,kervin huerta,kervin,huerta,2013-03-27,Male,1989-09-09,26,25 - 45,Caucasian,0,8,0,0,2,-1,2013-03-26 08:26:58,2013-03-27 09:33:07,13004374CF10A,,2013-03-26,1,F,arrest case no charge,1,13005839CF10A,(F3),0,2013-04-23,Possession of Cannabis,2013-04-23,2013-04-24,,0,,,,,Risk of Recidivism,8,High,2013-03-27,Risk of Violence,4,Low,2013-03-27,2013-04-23,2013-04-24,2,0,27,1,1 +1965,anthony donaldson,anthony,donaldson,2014-10-20,Female,1989-10-06,26,25 - 45,African-American,0,9,0,0,5,-1,2014-10-19 08:39:38,2014-10-26 04:44:30,14014117CF10A,2014-10-19,,1,F,Poss Pyrrolidinovalerophenone,1,15001313CF10A,(F3),,2015-01-28,Introduce Contraband Into Jail,,,,1,15001313CF10A,(F1),2015-01-28,Robbery W/Firearm,Risk of Recidivism,9,High,2014-10-20,Risk of Violence,6,Medium,2014-10-20,2014-10-19,2014-10-26,5,6,100,1,1 +1966,diego bruna,diego,bruna,2013-09-08,Male,1994-07-05,21,Less than 25,Hispanic,0,5,0,0,0,-1,2013-09-07 11:52:57,2013-09-09 02:51:42,13012668CF10A,2013-09-07,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-08,Risk of Violence,5,Medium,2013-09-08,2013-09-07,2013-09-09,0,1,936,0,0 +1967,rachael small,rachael,small,2013-03-07,Female,1976-09-25,39,25 - 45,African-American,0,2,0,0,1,-1,2013-03-06 10:19:56,2013-03-07 01:54:02,12009076CF10A,,2013-03-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-07,Risk of Violence,1,Low,2013-03-07,2016-04-11,2020-01-01,1,0,1131,0,0 +1968,mariot severe,mariot,severe,2013-02-25,Male,1985-06-30,30,25 - 45,Other,0,2,0,0,0,-1,2013-02-24 08:50:29,2013-03-02 06:34:47,13002818CF10A,2013-02-24,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,2013-02-24,2013-03-02,0,5,1131,0,0 +1971,emanuel scott,emanuel,scott,2013-09-16,Male,1972-01-14,44,25 - 45,African-American,0,5,0,0,2,-1,2013-09-15 02:38:49,2013-09-17 07:18:54,13009901CF10A,,2013-09-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-16,Risk of Violence,2,Low,2013-09-16,2015-05-27,2015-06-07,2,1,618,0,0 +1972,philip dubicki,philip,dubicki,2013-09-08,Male,1970-10-15,45,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-09-07 09:24:01,2013-09-10 08:25:31,13017061MM10A,2013-09-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-08,Risk of Violence,2,Low,2013-09-08,2013-09-07,2013-09-10,0,2,936,0,0 +1974,jamal brown,jamal,brown,2013-09-10,Male,1986-01-17,30,25 - 45,African-American,0,1,0,0,1,-1,2013-09-09 09:55:03,2013-09-10 07:42:41,13012735CF10A,2013-09-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,2,Low,2013-09-10,2015-07-26,2015-07-30,1,0,684,0,0 +1975,kelvin nguyen,kelvin,nguyen,2013-12-03,Male,1978-02-27,38,25 - 45,Asian,0,1,0,0,2,0,2013-12-03 05:13:10,2013-12-11 11:56:18,13016734CF10A,2013-12-03,,0,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2013-12-03,2013-12-11,2,8,850,0,0 +1976,anthony arcila,anthony,arcila,2014-09-23,Male,1992-07-21,23,Less than 25,Caucasian,0,5,0,0,6,-1,2014-09-22 10:29:10,2014-09-23 01:41:51,14012815CF10A,2014-09-22,,1,F,Deliver Cannabis,1,15004409MM40A,(M1),,2015-11-08,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2014-09-23,Risk of Violence,4,Low,2014-09-23,2014-09-22,2014-09-23,6,0,411,1,1 +1980,derrick williamson,derrick,williamson,2013-10-09,Male,1978-07-11,37,25 - 45,African-American,0,4,0,0,1,-139,2013-05-23 01:57:09,2013-06-28 05:54:52,13007371CF10A,2013-05-22,,140,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-09,Risk of Violence,4,Low,2013-10-09,2013-05-23,2013-06-28,1,0,905,0,0 +1982,haryidial lall,haryidial,lall,2013-12-26,Male,1970-01-19,46,Greater than 45,Asian,0,1,0,0,0,-1,2013-12-25 09:48:26,2013-12-26 01:21:51,13023752MM10A,2013-12-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-26,Risk of Violence,1,Low,2013-12-26,2013-12-25,2013-12-26,0,0,827,0,0 +1983,ricardo quinones,ricardo,quinones,2013-12-20,Male,1973-08-31,42,25 - 45,African-American,0,1,0,0,0,-1,2013-12-19 12:18:58,2013-12-20 08:03:46,13017540CF10A,2013-12-19,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-20,Risk of Violence,1,Low,2013-12-20,2013-12-19,2013-12-20,0,0,833,0,0 +1984,derrica howard,derrica,howard,2014-08-23,Female,1995-06-26,20,Less than 25,African-American,0,8,0,0,0,32,2014-09-24 04:43:51,2014-10-06 03:45:34,14011475CF10A,2014-08-22,,1,F,Uttering a Forged Instrument,1,14012952CF10A,(F3),0,2014-09-24,Uttering a Forged Instrument,2014-09-24,2014-10-06,,0,,,,,Risk of Recidivism,8,High,2014-08-23,Risk of Violence,7,Medium,2014-08-23,2014-09-24,2014-10-06,0,0,32,1,1 +1985,lawrence bocksey,lawrence,bocksey,2013-07-15,Male,1950-07-02,65,Greater than 45,Caucasian,0,1,0,0,2,-84,2013-04-22 03:17:28,2013-04-26 05:56:36,13007802MM10A,2013-05-16,,60,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-15,Risk of Violence,1,Low,2013-07-15,2013-04-22,2013-04-26,2,0,991,0,0 +1987,michael armenti,michael,armenti,2013-02-11,Male,1962-04-04,54,Greater than 45,Caucasian,0,2,0,0,4,-1,2013-02-10 05:05:00,2013-02-13 09:32:59,13002939MM10A,2013-02-10,,1,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-13,4,2,1145,0,0 +1990,darrell siel,darrell,siel,2014-08-03,Male,1969-01-18,47,Greater than 45,African-American,0,1,0,0,7,-1,2014-08-02 03:15:19,2014-08-03 08:09:30,14010530CF10A,2014-08-02,,1,F,Felony Driving While Lic Suspd,1,15009241CF10A,(M2),0,2015-07-18,Fail Register Vehicle,2015-07-18,2015-07-19,,0,,,,,Risk of Recidivism,1,Low,2014-08-03,Risk of Violence,1,Low,2014-08-03,2015-07-18,2015-07-19,7,0,349,1,1 +1991,clifton gooden,clifton,gooden,2014-08-01,Male,1977-04-15,39,25 - 45,African-American,0,9,0,0,5,-49,2014-06-13 07:59:08,2014-07-09 09:28:32,14008225CF10A,2014-06-13,,49,F,Felony Battery w/Prior Convict,1,14015800MO10A,(MO3),0,2014-11-01,Open Container Of Alcoholic Bev,2014-11-01,2014-11-26,,0,,,,,Risk of Recidivism,9,High,2014-08-01,Risk of Violence,6,Medium,2014-08-01,2014-11-01,2014-11-26,5,0,92,1,1 +1993,alexis salcedo,alexis,salcedo,2013-04-05,Male,1989-04-27,26,25 - 45,Caucasian,0,7,0,0,0,-3,2013-04-02 11:42:29,2013-04-04 07:59:42,13004736CF10A,2013-04-02,,3,F,Delivery of Heroin,1,13010451MM10A,(M1),0,2013-05-31,Unlaw Use False Name/Identity,2013-05-31,2013-06-08,,0,,,,,Risk of Recidivism,7,Medium,2013-04-05,Risk of Violence,3,Low,2013-04-05,2013-05-31,2013-06-08,0,0,56,1,1 +1994,eric toledo,eric,toledo,2014-06-08,Male,1987-02-28,29,25 - 45,Caucasian,0,10,0,0,7,-1,2014-06-07 01:31:38,2014-06-08 08:07:43,14009029MM10A,2014-06-06,,2,M,Battery,1,14010274CF10A,(F2),0,2014-07-28,Aggrav Battery w/Deadly Weapon,2014-07-28,2014-08-23,,1,14010274CF10A,(F2),2014-07-28,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2014-06-08,Risk of Violence,7,Medium,2014-06-08,2014-07-28,2014-08-23,7,0,50,1,1 +1995,dino salerno,dino,salerno,2013-03-21,Male,1964-09-03,51,Greater than 45,Caucasian,0,1,0,0,7,-1,2013-03-20 03:05:46,2013-04-04 01:57:07,13004020CF10A,2013-03-20,,1,F,Burglary Conveyance Unoccup,1,13005785CF10A,(F1),0,2013-04-22,Falsely Personating Officer,2013-04-22,2013-12-18,,1,13005785CF10A,(M1),2013-04-22,Battery,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-04-22,2013-12-18,7,14,32,1,1 +1999,melton mustafa,melton,mustafa,2013-03-04,Male,1972-01-17,44,25 - 45,African-American,0,1,0,0,0,0,2013-03-04 05:50:37,2013-03-04 08:33:41,13004436MM10A,2013-03-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-04,2013-03-04,0,0,1124,0,0 +2002,john walsh,john,walsh,2013-03-04,Male,1967-02-04,49,Greater than 45,Caucasian,0,5,0,0,12,-24,2013-02-08 10:08:21,2013-03-02 01:59:17,13002878MM10A,2013-02-08,,24,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-04-25,2013-04-28,12,0,52,0,0 +2006,jontavis walker,jontavis,walker,2013-04-21,Male,1993-12-20,22,Less than 25,African-American,0,8,0,0,0,-1,2013-04-20 11:00:29,2013-04-21 06:59:22,13005673CF10A,2013-04-20,,1,F,Poss Cocaine/Intent To Del/Sel,1,14000493MM20A,(M1),,2013-12-09,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-04-21,Risk of Violence,9,High,2013-04-21,2016-01-25,2016-03-16,0,0,232,1,1 +2009,antone fleming,antone,fleming,2013-02-01,Male,1984-01-15,32,25 - 45,African-American,0,4,0,0,4,-1,2013-01-31 04:10:23,2013-02-01 08:49:02,13004675TC10A,2013-01-31,,1,M,Susp Drivers Lic 1st Offense,1,13020074MM10A,(M2),0,2013-09-20,Operating W/O Valid License,2013-09-20,2013-09-22,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,2,Low,2013-02-01,2013-09-20,2013-09-22,4,0,231,1,1 +2010,leanord anderson,leanord,anderson,2014-02-17,Male,1988-07-22,27,25 - 45,African-American,0,3,0,0,0,-1,2014-02-16 01:43:32,2014-02-17 07:58:42,14002686MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-17,Risk of Violence,3,Low,2014-02-17,2014-02-16,2014-02-17,0,0,774,0,0 +2014,eric blue,eric,blue,2013-09-25,Male,1986-01-30,30,25 - 45,Caucasian,0,2,0,0,0,-1,2013-09-24 03:13:59,2013-09-24 08:14:17,13013423CF10A,2013-09-24,,1,M,DUI - Property Damage/Personal Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-25,Risk of Violence,1,Low,2013-09-25,2013-09-24,2013-09-24,0,0,919,0,0 +2018,andrew medley,andrew,medley,2013-01-24,Male,1994-01-03,22,Less than 25,African-American,0,10,3,1,6,,,,12017104CF10A,,2012-11-22,63,F,arrest case no charge,1,14007482CF10A,(F2),,2013-06-21,Aggrav Battery w/Deadly Weapon,,,,1,14007482CF10A,(F2),2013-06-21,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2013-01-24,Risk of Violence,10,High,2013-01-24,,,6,0,148,1,1 +2019,jermaine brown,jermaine,brown,2013-03-12,Male,1995-12-15,20,Less than 25,African-American,2,8,0,0,2,-56,2013-01-15 01:56:58,2013-03-12 10:40:26,12006842CF10A,,2013-01-15,56,F,arrest case no charge,1,15005539TC20A,(M2),,2015-01-17,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-03-12,Risk of Violence,10,High,2013-03-12,2013-01-15,2013-03-12,2,0,676,1,1 +2020,nelson cajas,nelson,cajas,2013-10-30,Male,1988-01-07,28,25 - 45,Hispanic,0,7,0,0,11,0,2013-10-30 04:01:31,2013-10-31 03:20:00,13020499MM10A,2013-10-30,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-30,Risk of Violence,7,Medium,2013-10-30,2015-08-12,2015-08-20,11,1,651,0,0 +2021,sam wu,sam,wu,2014-03-12,Male,1970-06-05,45,Greater than 45,Other,0,1,0,0,0,-1,2014-03-11 04:52:30,2014-03-12 08:48:41,14004229MM10A,2014-03-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-12,Risk of Violence,1,Low,2014-03-12,2014-03-11,2014-03-12,0,0,751,0,0 +2024,deborah lachance,deborah,lachance,2013-08-12,Female,1965-03-03,51,Greater than 45,Caucasian,0,5,0,0,5,0,2013-08-12 11:55:55,2013-09-14 05:58:00,13011336CF10A,,2013-08-12,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-12,Risk of Violence,2,Low,2013-08-12,2013-08-12,2013-09-14,5,33,963,0,0 +2026,willie reese,willie,reese,2014-01-10,Male,1988-06-18,27,25 - 45,African-American,0,2,0,0,4,-1,2014-01-09 07:18:18,2014-01-10 07:47:45,14000376CF10A,2014-01-09,,1,F,Grand Theft in the 3rd Degree,1,14011574CF10A,(M2),0,2014-08-25,Trespass Struct/Conveyance,2014-08-25,2015-11-10,,0,,,,,Risk of Recidivism,2,Low,2014-01-10,Risk of Violence,2,Low,2014-01-10,2014-08-25,2015-11-10,4,0,227,1,1 +2027,daniel joseph,daniel,joseph,2013-08-06,Male,1983-09-12,32,25 - 45,African-American,0,7,0,0,0,-1,2013-08-05 02:24:07,2013-08-22 12:27:12,13010944CF10A,2013-08-05,,1,F,Tampering With Physical Evidence,1,13016858MM10A,(M2),0,2013-09-03,Trespass Struct/Conveyance,2013-09-03,2013-09-17,,0,,,,,Risk of Recidivism,7,Medium,2013-08-06,Risk of Violence,3,Low,2013-08-06,2013-09-03,2013-09-17,0,16,28,1,1 +2029,troy williams,troy,williams,2013-04-18,Male,1972-04-28,43,25 - 45,African-American,0,3,0,0,2,-1,2013-04-17 10:37:05,2013-04-23 10:16:03,11008772CF10A,,2013-04-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2014-07-11,2014-07-16,2,5,449,0,0 +2033,lenna lacey,lenna,lacey,2013-11-25,Female,1953-02-02,63,Greater than 45,African-American,0,4,0,0,1,,,,06007045CF10A,2005-12-15,,2902,F,Exploit Elderly Person 20-100K,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,,,1,0,858,0,0 +2034,joshua mason,joshua,mason,2013-08-13,Male,1978-06-04,37,25 - 45,Caucasian,0,2,0,0,2,-1,2013-08-12 08:43:05,2013-08-13 08:22:25,13011313CF10A,2013-08-12,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2013-08-12,2013-08-13,2,0,962,0,0 +2035,aaron evans,aaron,evans,2013-09-21,Male,1990-02-02,26,25 - 45,African-American,0,4,0,0,0,-1,2013-09-20 05:36:25,2013-09-21 09:55:44,13013294CF10A,2013-09-20,,1,F,Burglary Conveyance Unoccup,1,13017730CF10A,(M1),0,2013-12-24,Possess Cannabis/20 Grams Or Less,2013-12-24,2013-12-24,,0,,,,,Risk of Recidivism,4,Low,2013-09-21,Risk of Violence,3,Low,2013-09-21,2013-12-24,2013-12-24,0,0,94,0,1 +2036,james hewitt,james,hewitt,2014-05-14,Male,1983-08-12,32,25 - 45,African-American,1,10,2,0,17,84,2014-08-06 05:26:28,2015-03-03 11:40:02,14006736CF10A,2014-05-14,,0,F,Possession of Cocaine,1,14010706CF10A,(M2),0,2014-08-06,Prowling/Loitering,2014-08-06,2015-03-03,,0,,,,,Risk of Recidivism,10,High,2014-05-14,Risk of Violence,10,High,2014-05-14,2014-08-06,2015-03-03,17,0,84,1,1 +2037,eric wardlaw,eric,wardlaw,2013-08-22,Male,1990-01-06,26,25 - 45,African-American,0,2,0,0,0,-1,2013-08-21 09:03:22,2013-08-22 08:18:17,13015967MM10A,2013-08-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-22,Risk of Violence,3,Low,2013-08-22,2013-08-21,2013-08-22,0,0,953,0,0 +2038,krishna bahadosingh,krishna,bahadosingh,2013-03-08,Male,1983-12-05,32,25 - 45,Other,0,3,0,0,4,0,2013-03-08 12:04:54,2013-03-08 02:03:36,13003416CF10A,2013-03-07,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-08,Risk of Violence,2,Low,2013-03-08,2013-03-08,2013-03-08,4,0,1120,0,0 +2040,marvel torres,marvel,torres,2013-05-29,Male,1977-01-02,39,25 - 45,Hispanic,0,4,0,0,3,-21,2013-05-08 10:08:57,2013-05-22 07:51:07,13002890CF10A,,2013-05-08,21,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-08,2013-05-22,3,0,1038,0,0 +2042,melinda delions,melinda,delions,2013-12-05,Female,1957-12-05,58,Greater than 45,African-American,0,1,0,0,4,-1,2013-12-04 02:04:11,2013-12-05 09:54:31,13016783CF10A,2013-12-04,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2013-12-04,2013-12-05,4,0,848,0,0 +2044,nicholas kerlew,nicholas,kerlew,2013-03-11,Male,1982-09-18,33,25 - 45,Other,0,2,0,0,0,-1,2013-03-10 04:24:37,2013-03-11 01:32:37,13004816MM10A,2013-03-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-11,Risk of Violence,3,Low,2013-03-11,2013-03-10,2013-03-11,0,0,1117,0,0 +2045,alyssa verola,alyssa,verola,2013-10-31,Female,1993-05-05,22,Less than 25,Caucasian,0,3,0,1,1,-22,2013-10-09 01:32:37,2013-10-09 06:32:48,13019125MM10A,2013-10-09,,22,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-31,Risk of Violence,4,Low,2013-10-31,2013-10-09,2013-10-09,1,0,883,0,0 +2047,mike douze,mike,douze,2013-11-04,Male,1989-11-03,26,25 - 45,African-American,0,5,0,0,6,-105,2013-07-22 06:17:17,2013-07-22 06:50:00,13020835MM10A,2013-11-04,,0,M,Driving Under The Influence,1,14025354MU10A,(M1),0,2014-07-12,Resist/Obstruct W/O Violence,2014-07-12,2014-07-13,,0,,,,,Risk of Recidivism,5,Medium,2013-11-04,Risk of Violence,4,Low,2013-11-04,2014-07-12,2014-07-13,6,0,250,1,1 +2048,paul hough,paul,hough,2013-11-28,Male,1994-10-29,21,Less than 25,African-American,2,10,0,1,2,-1,2013-11-27 07:19:52,2014-04-16 09:37:34,13016524CF10A,2013-11-27,,1,F,Possession of Cocaine,1,14030011TC40A,(M2),63,2014-05-05,Driving License Suspended,2014-07-07,2014-09-19,,0,,,,,Risk of Recidivism,10,High,2013-11-28,Risk of Violence,9,High,2013-11-28,2013-11-27,2014-04-16,2,139,158,1,1 +2049,frantessa hodge,frantessa,hodge,2013-11-23,Female,1986-05-07,29,25 - 45,African-American,0,4,0,0,1,,,,13016263CF10A,2013-11-22,,1,F,Resist Officer w/Violence,1,15024711TC30A,(M2),,2015-03-20,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-23,Risk of Violence,2,Low,2013-11-23,,,1,0,482,1,1 +2051,justin mccalligan,justin,mccalligan,2013-02-14,Male,1984-06-01,31,25 - 45,Caucasian,0,7,0,0,0,0,2013-02-14 02:09:03,2013-03-21 09:56:44,13002310CF10A,2013-02-13,,1,F,Grand Theft (Motor Vehicle),1,13016085CF10A,(F3),0,2013-11-19,Grand Theft in the 3rd Degree,2013-11-19,2013-12-23,,0,,,,,Risk of Recidivism,7,Medium,2013-02-14,Risk of Violence,4,Low,2013-02-14,2013-11-19,2013-12-23,0,35,278,1,1 +2052,bryan berry,bryan,berry,2013-11-14,Male,1972-09-30,43,25 - 45,Caucasian,0,1,0,0,2,-10,2013-11-04 09:10:03,2013-11-06 06:20:54,13015394CF10A,,2013-11-04,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-04,2013-11-06,2,0,869,0,0 +2053,jeff rosemberg,jeff,rosemberg,2013-05-10,Male,1993-04-19,23,Less than 25,African-American,0,7,0,0,0,-1,2013-05-09 10:04:43,2013-05-10 08:01:13,13008990MM10A,2013-05-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-10,Risk of Violence,6,Medium,2013-05-10,2013-05-09,2013-05-10,0,0,1057,0,0 +2054,greymi rosa,greymi,rosa,2014-02-25,Male,1991-03-26,25,25 - 45,Caucasian,0,2,0,0,0,-1,2014-02-24 07:11:53,2014-02-25 08:52:44,14002604CF10A,2014-02-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-25,Risk of Violence,4,Low,2014-02-25,2014-02-24,2014-02-25,0,0,766,0,0 +2055,jervon jarrett,jervon,jarrett,2013-12-19,Male,1993-06-29,22,Less than 25,African-American,0,9,0,0,6,-1,2013-12-18 08:38:29,2013-12-19 08:44:42,13010115CF10A,,2013-12-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-19,Risk of Violence,9,High,2013-12-19,2015-01-28,2015-03-07,6,0,405,0,0 +2056,timothy bass,timothy,bass,2013-01-19,Male,1986-02-20,30,25 - 45,African-American,0,4,0,0,6,-1,2013-01-18 10:56:13,2013-06-01 02:07:27,13000882CF10A,2013-01-18,,1,F,Poss of Methylethcathinone,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-19,Risk of Violence,4,Low,2013-01-19,2013-01-18,2013-06-01,6,133,1168,0,0 +2057,christopher denis,christopher,denis,2013-03-14,Male,1991-01-15,25,25 - 45,African-American,0,9,3,1,15,-1,2013-03-13 05:33:27,2013-03-15 05:42:00,13003713CF10A,2013-03-13,,1,F,"Poss3,4 Methylenedioxymethcath",1,14004265CF10A,(F1),,2013-08-08,Aggrav Child Abuse-Agg Battery,,,,1,14004265CF10A,(F1),2013-08-08,Aggrav Child Abuse-Agg Battery,Risk of Recidivism,9,High,2013-03-14,Risk of Violence,7,Medium,2013-03-14,2013-03-13,2013-03-15,15,1,147,1,1 +2058,jerry edwards,jerry,edwards,2014-10-24,Male,1995-07-18,20,Less than 25,African-American,0,7,0,1,0,-1,2014-10-23 02:06:58,2014-10-24 08:29:47,14014287CF10A,2014-10-23,,1,F,Pos Cannabis W/Intent Sel/Del,1,14014460CF10A,(M1),0,2014-10-27,Resist/Obstruct W/O Violence,2014-10-27,2014-11-25,,0,,,,,Risk of Recidivism,7,Medium,2014-10-24,Risk of Violence,6,Medium,2014-10-24,2014-10-27,2014-11-25,0,0,3,1,1 +2059,jaircinio munoz,jaircinio,munoz,2013-09-10,Male,1976-05-20,39,25 - 45,Hispanic,0,1,0,0,0,-1,2013-09-09 09:26:40,2013-09-10 07:41:44,13012730CF10A,2013-09-09,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-10,0,0,934,0,0 +2060,tyrone brown,tyrone,brown,2013-01-03,Male,1985-01-29,31,25 - 45,African-American,0,5,0,0,3,716,2014-12-20 09:37:33,2014-12-21 07:47:46,12003002CF10A,,2013-01-02,1,F,arrest case no charge,1,14005121CF10A,(F3),,2014-04-12,Pos Cannabis W/Intent Sel/Del,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-03,Risk of Violence,2,Low,2013-01-03,2015-07-22,2015-11-11,3,0,464,1,1 +2061,tereatha lewis,tereatha,lewis,2013-09-15,Male,1983-02-15,33,25 - 45,African-American,0,2,0,0,1,-1,2013-09-14 06:09:53,2013-09-17 11:30:40,13012981CF10A,2013-09-14,,1,F,Corrupt Public Servant,1,14000627CF10A,(M2),0,2014-01-14,Unlaw LicTag/Sticker Attach,2014-01-14,2014-01-16,,0,,,,,Risk of Recidivism,2,Low,2013-09-15,Risk of Violence,2,Low,2013-09-15,2014-01-14,2014-01-16,1,2,121,1,1 +2062,edward horton,edward,horton,2013-03-17,Male,1956-11-01,59,Greater than 45,African-American,0,4,0,0,1,-1,2013-03-16 07:33:09,2013-03-17 01:48:47,13003849CF10A,2013-03-16,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-17,Risk of Violence,1,Low,2013-03-17,2013-03-16,2013-03-17,1,0,1111,0,0 +2063,ivan gomez,ivan,gomez,2013-09-06,Male,1995-02-20,21,Less than 25,Hispanic,0,9,0,2,1,-8,2013-08-29 09:50:39,2013-08-31 06:13:37,13012227CF10A,,2013-08-29,8,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-06,Risk of Violence,8,High,2013-09-06,2013-08-29,2013-08-31,1,0,938,0,0 +2064,rosco turner,rosco,turner,2013-11-22,Male,1962-12-12,53,Greater than 45,African-American,0,6,0,0,8,-1,2013-11-21 01:12:33,2013-11-26 08:55:26,13016162CF10A,2013-11-21,,1,F,Possession of Cocaine,1,15000105CF10A,(F3),,2015-01-03,Possession of Hydrocodone,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-22,Risk of Violence,1,Low,2013-11-22,2013-11-21,2013-11-26,8,4,407,1,1 +2065,wayne zafir,wayne,zafir,2013-02-17,Male,1982-04-08,34,25 - 45,Caucasian,0,2,0,0,2,-1,2013-02-16 05:53:02,2013-02-17 07:51:42,11004179MO10A,,2013-02-16,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-17,Risk of Violence,2,Low,2013-02-17,2013-02-16,2013-02-17,2,0,1139,0,0 +2066,loren moscovich,loren,moscovich,2013-04-19,Male,1979-07-21,36,25 - 45,Caucasian,0,4,0,0,6,-25,2013-03-25 01:15:03,2013-03-25 08:01:36,13004269CF10A,2013-03-24,,26,F,Possession Of Buprenorphine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-03-25,2013-03-25,6,0,1078,0,0 +2069,cortez harris,cortez,harris,2013-01-30,Male,1993-02-09,23,Less than 25,African-American,0,3,0,0,0,-1,2013-01-29 05:36:47,2013-01-30 07:49:51,13001436CF10A,2013-01-29,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-30,Risk of Violence,5,Medium,2013-01-30,2014-01-30,2014-05-27,0,0,365,0,0 +2070,leoplean price,leoplean,price,2013-01-21,Male,1983-08-19,32,25 - 45,African-American,0,8,0,0,2,0,2013-01-21 02:06:58,2013-05-10 08:38:41,12010556MM10A,,2013-01-21,0,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-21,Risk of Violence,5,Medium,2013-01-21,2013-01-21,2013-05-10,2,109,1166,0,0 +2071,sugar allen,sugar,allen,2013-03-23,Male,1983-06-23,32,25 - 45,African-American,0,9,0,0,11,-1,2013-03-22 09:35:38,2013-03-24 03:51:56,13007916MM10A,,2013-03-22,1,M,arrest case no charge,1,14014210MM10A,(M1),1,2014-09-24,Petit Theft/ Prior Conviction,2014-09-25,2014-09-27,,0,,,,,Risk of Recidivism,9,High,2013-03-23,Risk of Violence,5,Medium,2013-03-23,2013-07-12,2013-07-13,11,1,111,0,1 +2072,susan scarlette,susan,scarlette,2013-04-29,Female,1949-07-06,66,Greater than 45,Caucasian,0,1,0,0,1,-46,2013-03-14 02:52:45,2013-04-11 07:51:43,13005079MM10A,2013-03-14,,46,M,Tresspass Struct/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-03-14,2013-04-11,1,0,1068,0,0 +2074,waldren wright,waldren,wright,2014-03-06,Male,1949-09-24,66,Greater than 45,Other,0,1,0,0,0,-1,2014-03-05 02:20:03,2014-03-06 10:24:47,14003104CF10A,2014-03-05,,1,M,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-06,Risk of Violence,1,Low,2014-03-06,2014-03-05,2014-03-06,0,0,757,0,0 +2075,justine woodward,justine,woodward,2013-05-20,Female,1991-11-21,24,Less than 25,Caucasian,0,6,0,0,0,-1,2013-05-19 07:00:07,2013-06-12 01:57:48,13009851MM10A,2013-05-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-20,Risk of Violence,4,Low,2013-05-20,2013-05-19,2013-06-12,0,23,1047,0,0 +2076,kerry francois,kerry,francois,2013-03-21,Male,1985-10-31,30,25 - 45,African-American,0,10,0,0,7,-1,2013-03-20 08:08:14,2014-11-13 06:57:27,13004011CF10A,2013-03-20,,1,F,Pos Cannabis W/Intent Sel/Del,1,15001459MM30A,(M1),,2015-09-10,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,10,High,2013-03-21,Risk of Violence,7,Medium,2013-03-21,2014-11-13,2014-12-12,7,631,903,1,1 +2077,issac tisdale,issac,tisdale,2013-03-15,Male,1987-10-18,28,25 - 45,African-American,0,7,0,0,1,-1,2013-03-14 08:59:25,2013-03-16 05:45:01,13005067MM10A,2013-03-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-15,Risk of Violence,3,Low,2013-03-15,2013-03-14,2013-03-16,1,1,1113,0,0 +2078,robert maldonado,robert,maldonado,2014-06-29,Male,1972-07-15,43,25 - 45,Caucasian,0,5,0,0,4,0,2014-06-29 03:34:28,2014-07-01 05:12:10,14008946CF10A,2014-06-29,,0,F,Burglary Dwelling Occupied,1,16001796MM10A,(M1),,2015-12-30,Stalking,,,,1,15016619CF10A,(F3),2015-12-30,Stalking (Aggravated),Risk of Recidivism,5,Medium,2014-06-29,Risk of Violence,2,Low,2014-06-29,2014-06-29,2014-07-01,4,2,549,1,1 +2079,jameson hinzey,jameson,hinzey,2013-12-28,Male,1980-08-07,35,25 - 45,African-American,0,2,0,0,3,-1,2013-12-27 03:35:30,2014-01-07 10:11:46,13023882MM10A,2013-12-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-28,Risk of Violence,2,Low,2013-12-28,2013-12-27,2014-01-07,3,10,825,0,0 +2083,darren houston,darren,houston,2013-11-15,Male,1997-04-13,19,Less than 25,African-American,3,8,0,0,2,-21,2013-10-25 10:26:50,2013-11-09 04:10:13,13014839CF10A,,2013-10-25,21,F,arrest case no charge,1,14009442CF10A,(F3),14,2014-06-26,Att Burgl Unoccupied Dwel,2014-07-10,2014-07-11,,0,,,,,Risk of Recidivism,8,High,2013-11-15,Risk of Violence,9,High,2013-11-15,2014-01-02,2014-01-15,2,0,48,0,1 +2085,jeff fendt,jeff,fendt,2014-04-21,Male,1982-06-27,33,25 - 45,Caucasian,0,2,0,0,0,,,,14005492CF10A,2014-04-19,,2,F,Poss Alprazolam W/int Sell/Del,1,14011779MM10A,(M1),,2014-06-28,Battery,,,,1,14011779MM10A,(M1),2014-06-28,Battery,Risk of Recidivism,2,Low,2014-04-21,Risk of Violence,2,Low,2014-04-21,,,0,0,68,1,1 +2087,dominick jenkins,dominick,jenkins,2013-12-13,Male,1993-10-10,22,Less than 25,African-American,0,6,0,0,1,-1,2013-12-12 03:05:58,2013-12-16 05:21:20,13023024MM10A,2013-12-12,,1,M,Battery,1,14003076MM10A,(M1),,2014-02-21,Battery,,,,1,14003076MM10A,(M1),2014-02-21,Battery,Risk of Recidivism,6,Medium,2013-12-13,Risk of Violence,7,Medium,2013-12-13,2013-12-12,2013-12-16,1,3,70,1,1 +2089,brian cunningham,brian,cunningham,2013-01-20,Male,1986-11-22,29,25 - 45,African-American,0,1,0,0,0,0,2013-01-20 01:46:36,2013-01-20 12:12:09,13000911CF10A,2013-01-19,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-20,Risk of Violence,2,Low,2013-01-20,2013-01-20,2013-01-20,0,0,1167,0,0 +2090,loreia nelson,loreia,nelson,2014-02-15,Female,1993-03-02,23,Less than 25,African-American,0,4,0,0,0,-1,2014-02-14 02:04:23,2014-02-16 03:42:24,14002620MM10A,2014-02-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-15,Risk of Violence,5,Medium,2014-02-15,2014-02-14,2014-02-16,0,1,776,0,0 +2091,willie brown,willie,brown,2013-10-03,Male,1953-04-27,62,Greater than 45,African-American,0,9,0,0,15,-36,2013-08-28 06:07:53,2013-10-03 12:14:08,13012257CF10A,,2013-08-29,35,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-03,Risk of Violence,9,High,2013-10-03,2013-08-28,2013-10-03,15,0,911,0,0 +2093,deanna dye,deanna,dye,2013-07-29,Female,1983-01-02,33,25 - 45,Caucasian,0,2,0,0,0,-2,2013-07-27 02:32:45,2013-07-28 02:02:00,13014224MM10A,2013-07-26,,3,M,Offer Agree Secure For Lewd Act,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-09-14,2013-09-15,0,0,47,0,0 +2094,hassan baker,hassan,baker,2013-01-31,Male,1981-01-02,35,25 - 45,African-American,0,4,0,0,1,0,2013-01-31 12:15:06,2013-01-31 08:06:24,13002170MO10A,2013-01-30,,1,M,Prostitution/Lewdness/Assign,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-31,Risk of Violence,2,Low,2013-01-31,2013-01-31,2013-01-31,1,0,1156,0,0 +2095,jamie rosen,jamie,rosen,2013-05-05,Male,1963-04-12,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-05 06:01:13,2013-05-05 07:11:34,13006441CF10A,2013-05-05,,0,F,Possession Of Alprazolam,1,15011038CF10A,(F3),0,2015-08-26,Possession of Oxycodone,2015-08-26,2015-08-26,,0,,,,,Risk of Recidivism,1,Low,2013-05-05,Risk of Violence,1,Low,2013-05-05,2015-08-26,2015-08-26,0,0,843,0,0 +2096,lutz glindmeier,lutz,glindmeier,2014-10-24,Male,1956-11-24,59,Greater than 45,Caucasian,0,6,0,0,17,-25,2014-09-29 01:44:50,2014-10-22 07:29:46,13002619CF10A,,2014-09-29,25,F,arrest case no charge,1,15024712TC20A,(M2),249,2015-04-07,Driving License Suspended,2015-12-12,2015-12-13,,0,,,,,Risk of Recidivism,6,Medium,2014-10-24,Risk of Violence,1,Low,2014-10-24,2015-12-12,2015-12-13,17,0,165,1,1 +2098,teresa lliteras,teresa,lliteras,2013-04-11,Female,1967-10-21,48,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-10 12:13:15,2013-04-11 01:05:57,13006984MM10A,2013-04-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-11,Risk of Violence,1,Low,2013-04-11,2013-04-10,2013-04-11,0,0,1086,0,0 +2099,mamose florial,mamose,florial,2013-02-04,Female,1983-04-18,33,25 - 45,African-American,0,2,0,0,1,-10,2013-01-25 11:03:35,2013-01-26 08:47:49,13001266CF10A,2013-01-25,,10,F,Neglect Child / Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-01-25,2013-01-26,1,0,1152,0,0 +2100,james shupe,james,shupe,2013-04-29,Male,1971-10-29,44,25 - 45,Caucasian,0,1,0,0,0,0,2013-04-29 02:46:23,2013-04-30 03:52:16,13018330TC10A,2013-04-29,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-29,2013-04-30,0,1,1068,0,0 +2101,rami zaki,rami,zaki,2014-12-23,Male,1984-11-02,31,25 - 45,Caucasian,0,2,0,0,10,-18,2014-12-05 07:58:45,2014-12-07 03:33:44,15002684CF10A,2014-12-05,,18,F,Driving While License Revoked,1,15002360MM10A,(M1),0,2015-02-25,Criminal Mischief>$200<$1000,2015-02-25,2015-02-26,,0,,,,,Risk of Recidivism,2,Low,2014-12-23,Risk of Violence,2,Low,2014-12-23,2015-02-25,2015-02-26,10,0,64,1,1 +2103,desmond blocker,desmond,blocker,2013-09-17,Male,1987-11-03,28,25 - 45,African-American,0,4,0,1,2,-1,2013-09-16 05:15:12,2013-09-17 07:18:49,13013086CF10A,2013-09-16,,1,F,Att Tamper w/Physical Evidence,1,14009035CF10A,(F3),0,2014-07-01,Tampering With Physical Evidence,2014-07-01,2014-07-01,,0,,,,,Risk of Recidivism,4,Low,2013-09-17,Risk of Violence,5,Medium,2013-09-17,2014-07-01,2014-07-01,2,0,287,0,1 +2104,adlai goulbourne,adlai,goulbourne,2014-02-20,Male,1959-05-03,56,Greater than 45,Other,0,1,0,0,9,-147,2013-09-26 11:51:00,2014-02-12 10:41:00,13013562CF10A,2013-09-26,,147,F,Trespass Structure w/Dang Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-20,Risk of Violence,1,Low,2014-02-20,2013-09-26,2014-02-12,9,0,771,0,0 +2105,agustin perez-vidal,agustin,perez-vidal,2013-02-14,Male,1964-12-14,51,Greater than 45,Hispanic,0,1,0,0,1,-18,2013-01-27 07:54:35,2013-02-13 09:34:33,13001339CF10A,2013-01-27,,18,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2015-03-18,2016-04-11,1,0,762,0,0 +2107,kelvin edwards,kelvin,edwards,2013-03-14,Male,1992-07-12,23,Less than 25,African-American,0,7,0,0,0,0,2013-03-14 02:20:18,2013-03-19 05:29:32,13003751CF10A,2013-03-13,,1,F,Burglary Structure Unoccup,1,13003981CF10A,(F3),0,2013-03-19,Crimin Mischief Damage $1000+,2013-03-19,2013-03-20,,0,,,,,Risk of Recidivism,7,Medium,2013-03-14,Risk of Violence,5,Medium,2013-03-14,2013-03-19,2013-03-20,0,5,5,1,1 +2108,carlos campo,carlos,campo,2013-10-27,Male,1994-12-01,21,Less than 25,Hispanic,0,7,0,0,0,0,2013-10-27 02:30:11,2013-10-27 08:17:23,13015005CF10A,2013-10-26,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-27,Risk of Violence,6,Medium,2013-10-27,2014-03-05,2014-03-13,0,0,129,0,0 +2109,louis sells,louis,sells,2013-01-02,Male,1989-05-17,26,25 - 45,Caucasian,0,5,0,0,0,0,2013-01-02 07:21:57,2013-01-02 07:31:59,13000096CF10A,2013-01-02,,0,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-02,Risk of Violence,4,Low,2013-01-02,2013-01-02,2013-01-02,0,0,1185,0,0 +2110,antwane jones,antwane,jones,2013-09-29,Male,1994-01-02,22,Less than 25,African-American,0,9,3,0,3,0,2013-09-29 03:40:47,2013-09-29 06:47:56,13013659CF10A,2013-09-29,,0,F,Possession of Benzylpiperazine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-29,Risk of Violence,10,High,2013-09-29,2013-09-29,2013-09-29,3,0,915,0,0 +2111,troy gayle,troy,gayle,2013-03-27,Male,1986-11-19,29,25 - 45,African-American,0,2,0,0,0,-1,2013-03-26 07:25:39,2013-03-27 11:45:55,13005919MM10A,2013-03-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-03-26,2013-03-27,0,0,1101,0,0 +2113,rasheed magloire,rasheed,magloire,2014-04-04,Male,1995-12-23,20,Less than 25,African-American,0,9,1,1,2,-1,2014-04-03 06:52:47,2014-04-05 08:08:56,14004685CF10A,2014-04-03,,1,F,Burglary Unoccupied Dwelling,1,14033792TC10A,(M1),0,2014-09-18,Opert With Susp DL 2nd Offens,2014-09-18,2014-09-19,,0,,,,,Risk of Recidivism,9,High,2014-04-04,Risk of Violence,7,Medium,2014-04-04,2014-09-18,2014-09-19,2,1,167,1,1 +2115,javier valdes,javier,valdes,2013-11-13,Male,1972-04-04,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-12 09:19:23,2013-11-13 08:07:52,13021311MM10A,2013-11-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-13,Risk of Violence,1,Low,2013-11-13,2013-11-12,2013-11-13,0,0,870,0,0 +2116,peter cunningham,peter,cunningham,2013-08-22,Male,1975-03-24,41,25 - 45,African-American,0,5,0,0,2,-1,2013-08-21 10:34:23,2013-09-05 09:41:59,11015633CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-22,Risk of Violence,3,Low,2013-08-22,2013-08-21,2013-09-05,2,14,953,0,0 +2121,ashley hannah,ashley,hannah,2013-11-08,Female,1987-10-16,28,25 - 45,African-American,0,4,0,1,4,0,2013-11-08 03:39:55,2013-11-08 09:33:05,13015575CF10A,2013-11-08,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-08,Risk of Violence,3,Low,2013-11-08,2013-11-08,2013-11-08,4,0,875,0,0 +2123,timothy vanfossen,timothy,vanfossen,2013-03-25,Male,1989-03-20,27,25 - 45,Caucasian,0,6,0,0,1,-1,2013-03-24 10:31:26,2013-04-15 05:08:58,13012413TC10A,2013-03-24,,1,M,Susp Drivers Lic 1st Offense,1,15027792TC10A,(M2),0,2015-10-08,Susp Drivers Lic 1st Offense,2015-10-08,2015-11-24,,0,,,,,Risk of Recidivism,6,Medium,2013-03-25,Risk of Violence,5,Medium,2013-03-25,2013-07-18,2013-09-14,1,21,115,0,1 +2125,jason landress,jason,landress,2014-03-10,Male,1984-08-06,31,25 - 45,Caucasian,0,3,0,0,7,-1,2014-03-09 04:46:09,2014-03-10 09:42:05,14004057MM10A,2014-03-09,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-10,Risk of Violence,2,Low,2014-03-10,2014-03-09,2014-03-10,7,0,753,0,0 +2126,itzamna jimenez,itzamna,jimenez,2014-04-21,Male,1992-11-09,23,Less than 25,Caucasian,0,8,0,0,5,-105,2014-01-06 03:27:34,2014-01-20 04:51:30,12005031CF10A,,2014-01-06,105,F,arrest case no charge,1,15014197TC30A,(M2),130,2015-02-13,DWLS Canceled Disqul 1st Off,2015-06-23,2015-06-30,,0,,,,,Risk of Recidivism,8,High,2014-04-21,Risk of Violence,5,Medium,2014-04-21,2016-03-27,2016-03-27,5,0,298,1,1 +2127,brandon barther,brandon,barther,2013-10-21,Male,1982-09-23,33,25 - 45,African-American,0,7,0,0,16,-243,2013-02-20 12:52:15,2013-02-21 06:22:21,12022971MM10A,,2013-02-20,243,M,arrest case no charge,1,14001250MM20A,(M2),73,2014-04-11,Petit Theft,2014-06-23,2014-08-17,,0,,,,,Risk of Recidivism,7,Medium,2013-10-21,Risk of Violence,3,Low,2013-10-21,2014-12-12,2014-12-13,16,0,172,1,1 +2128,ricardo ruiz,ricardo,ruiz,2014-09-22,Male,1990-01-10,26,25 - 45,African-American,0,3,0,0,3,-21,2014-09-01 10:08:32,2014-09-02 08:20:37,14011903CF10A,2014-09-01,,21,F,Crimin Mischief Damage $1000+,1,16002924MM10A,(M1),0,2016-03-29,,2016-03-29,2016-03-30,,0,,,,,Risk of Recidivism,3,Low,2014-09-22,Risk of Violence,3,Low,2014-09-22,2016-03-29,2016-03-30,3,0,554,1,1 +2129,michael cedieu,michael,cedieu,2013-11-15,Male,1995-10-15,20,Less than 25,African-American,0,4,0,2,0,-1,2013-11-14 06:08:57,2013-11-15 08:54:29,13015856CF10A,2013-11-14,,1,F,Tampering With Physical Evidence,1,16000010MM30A,(M1),59,2015-12-19,Possess Cannabis/20 Grams Or Less,2016-02-16,2016-02-17,,1,16002340CF10A,(F2),2016-02-22,Agg Fleeing/Eluding High Speed,Risk of Recidivism,4,Low,2013-11-15,Risk of Violence,7,Medium,2013-11-15,2014-03-12,2014-03-12,0,0,117,0,0 +2130,roland muzzi,roland,muzzi,2013-01-22,Male,1960-09-02,55,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-01-21 08:21:38,2013-01-22 02:00:29,13001437MM10A,2013-01-21,,1,M,Battery,1,13004206MM10A,(M1),1,2013-02-28,Refuse Submit Blood/Breath Test,2013-03-01,2013-03-11,,0,,,,,Risk of Recidivism,1,Low,2013-01-22,Risk of Violence,1,Low,2013-01-22,2013-03-01,2013-03-11,2,0,37,1,1 +2131,tholome johnson,tholome,johnson,2013-02-27,Male,1979-11-15,36,25 - 45,African-American,0,8,0,0,0,0,2013-02-27 01:25:04,2013-02-28 04:12:46,13002940CF10A,2013-02-27,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-27,Risk of Violence,2,Low,2013-02-27,2013-02-27,2013-02-28,0,1,1129,0,0 +2132,michel dorsainville,michel,dorsainville,2014-01-11,Male,1967-09-14,48,Greater than 45,Other,0,1,0,0,4,-1,2014-01-10 07:01:24,2014-01-14 09:21:17,14000415CF10A,2014-01-10,,1,F,Grand Theft (Motor Vehicle),1,14006809CF10A,(M1),0,2014-05-16,Unlaw Use False Name/Identity,2014-05-16,2014-05-17,,0,,,,,Risk of Recidivism,1,Low,2014-01-11,Risk of Violence,1,Low,2014-01-11,2014-05-16,2014-05-17,4,3,125,1,1 +2133,piterson belancourt,piterson,belancourt,2014-03-19,Male,1994-04-04,22,Less than 25,Other,0,4,0,0,5,-1,2014-03-18 01:16:05,2014-03-20 12:11:12,14003819CF10A,,2014-03-18,1,F,arrest case no charge,1,14053818TC20A,(M2),,2014-07-28,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-19,Risk of Violence,5,Medium,2014-03-19,2014-03-18,2014-03-20,5,1,131,1,1 +2134,willis barnes,willis,barnes,2013-08-14,Male,1992-09-08,23,Less than 25,African-American,1,9,0,0,1,-1,2013-08-13 04:31:54,2013-08-18 04:39:19,13015313MM10A,2013-08-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-14,Risk of Violence,9,High,2013-08-14,2013-08-13,2013-08-18,1,4,961,0,0 +2138,stephen johnson,stephen,johnson,2014-01-22,Male,1982-01-07,34,25 - 45,African-American,0,10,2,1,19,-1,2014-01-21 08:57:17,2014-01-26 02:45:26,14000886CF10A,2014-01-21,,1,F,False Ownership Info/Pawn Item,1,14015498MM10A,(M2),0,2014-10-25,Petit Theft,2014-10-25,2014-10-26,,0,,,,,Risk of Recidivism,10,High,2014-01-22,Risk of Violence,6,Medium,2014-01-22,2014-10-25,2014-10-26,19,4,276,1,1 +2140,rose mosco,rose,mosco,2013-03-01,Female,1956-08-30,59,Greater than 45,Caucasian,0,1,0,0,1,-21,2013-02-08 08:25:17,2013-02-13 09:36:45,13002086CF10A,2013-02-08,,21,F,Grand Theft in the 1st Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2015-10-22,2015-10-29,1,0,965,0,0 +2141,ricardo britt,ricardo,britt,2013-04-26,Male,1978-04-24,37,25 - 45,Caucasian,0,2,0,0,0,-4,2013-04-22 02:29:12,2013-04-23 03:38:43,13005777CF10A,2013-04-21,,5,F,Cruelty Toward Child,1,13013838MM10A,(M1),1,2013-07-20,Viol Pretrial Release Dom Viol,2013-07-21,2013-08-05,,1,15001691CF10A,(F3),2015-02-04,Felony Battery w/Prior Convict,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,1,Low,2013-04-26,2015-02-04,2015-04-06,0,0,85,1,1 +2143,lavena mays,lavena,mays,2013-08-24,Female,1988-04-06,28,25 - 45,Caucasian,0,4,0,0,0,-1,2013-08-23 04:46:57,2013-08-24 02:25:28,13011915CF10A,2013-08-23,,1,F,Possession of Cocaine,1,15031929TC20A,(M2),,2015-05-13,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-24,Risk of Violence,3,Low,2013-08-24,2013-08-23,2013-08-24,0,0,627,1,1 +2146,rodney davis,rodney,davis,2014-06-10,Male,1996-01-04,20,Less than 25,African-American,1,10,0,1,1,-47,2014-04-24 12:14:02,2014-06-10 10:39:09,14003033CF10A,,2014-04-24,47,F,arrest case no charge,1,14010614CF10A,(M1),0,2014-08-04,Resist/Obstruct W/O Violence,2014-08-04,2015-07-31,,0,,,,,Risk of Recidivism,10,High,2014-06-10,Risk of Violence,9,High,2014-06-10,2014-08-04,2015-07-31,1,0,55,1,1 +2147,german valerio,german,valerio,2013-10-03,Male,1984-09-21,31,25 - 45,African-American,0,2,0,0,0,-1,2013-10-02 06:36:42,2013-10-03 08:18:14,13013855CF10A,2013-10-02,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-03,Risk of Violence,4,Low,2013-10-03,2013-10-02,2013-10-03,0,0,911,0,0 +2148,stephanie hay,stephanie,hay,2014-07-13,Female,1977-05-19,38,25 - 45,African-American,0,10,0,0,14,-1,2014-07-12 06:46:27,2014-07-17 05:29:07,14009547CF10A,2014-07-12,,1,F,Possession of Cocaine,1,15001666CF10A,(F3),0,2015-02-05,Battery on a Person Over 65,2015-02-05,2015-05-18,,1,15001666CF10A,(F3),2015-02-05,Battery on a Person Over 65,Risk of Recidivism,10,High,2014-07-13,Risk of Violence,3,Low,2014-07-13,2014-08-11,2014-09-12,14,4,29,0,1 +2149,kevin hudson,kevin,hudson,2014-02-11,Male,1983-03-24,33,25 - 45,African-American,0,1,0,0,0,-4,2014-02-07 09:21:52,2014-02-11 04:08:38,14001765CF10A,2014-02-07,,4,F,Possession of Cannabis,1,14010877MO10A,(MO3),0,2014-07-16,Sleeping On Beach,2014-07-16,2014-07-31,,0,,,,,Risk of Recidivism,1,Low,2014-02-11,Risk of Violence,2,Low,2014-02-11,2014-07-16,2014-07-31,0,0,155,1,1 +2150,tyrell wright,tyrell,wright,2014-08-29,Male,1988-06-20,27,25 - 45,African-American,0,8,0,0,3,-1,2014-08-28 12:41:52,2014-08-29 01:55:31,14011761CF10A,2014-08-28,,1,F,Grand Theft in the 3rd Degree,1,14015178MM10A,(M1),0,2014-10-18,Battery,2014-10-18,2014-10-26,,1,14015178MM10A,(M1),2014-10-18,Battery,Risk of Recidivism,8,High,2014-08-29,Risk of Violence,6,Medium,2014-08-29,2014-10-18,2014-10-26,3,0,50,1,1 +2151,jason jaigobin,jason,jaigobin,2013-02-19,Male,1991-03-21,25,25 - 45,Caucasian,0,4,0,0,2,0,2013-02-19 03:48:40,2013-02-20 04:22:16,13003525MM10A,2013-02-19,,0,M,Resist/Obstruct W/O Violence,1,13008554CF10A,(M1),0,2013-06-18,Resist/Obstruct W/O Violence,2013-06-18,2013-08-09,,0,,,,,Risk of Recidivism,4,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-06-18,2013-08-09,2,1,119,1,1 +2152,nikeisha porter,nikeisha,porter,2013-11-26,Female,1974-01-16,42,25 - 45,African-American,0,2,0,0,2,-1,2013-11-25 05:04:34,2013-11-26 09:36:13,13016423CF10A,2013-11-25,,1,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2013-11-25,2013-11-26,2,0,857,0,0 +2153,cortay wells,cortay,wells,2014-02-06,Male,1993-05-02,22,Less than 25,African-American,0,8,0,0,3,-1,2014-02-05 03:18:50,2014-03-03 08:00:17,14001653CF10A,2014-02-05,,1,F,Uttering a Forged Instrument,1,14005187CF10A,(F3),0,2014-04-13,Grand Theft Dwell Property,2014-04-13,2014-06-05,,1,16000123CF10A,(F3),2016-01-04,Aggravated Assault w/Firearm,Risk of Recidivism,8,High,2014-02-06,Risk of Violence,5,Medium,2014-02-06,2014-04-13,2014-06-05,3,25,66,1,1 +2154,romaine smith,romaine,smith,2013-03-01,Male,1995-01-17,21,Less than 25,Other,0,6,0,0,0,-1,2013-02-28 07:56:43,2013-03-02 05:27:36,13003060CF10A,2013-02-28,,1,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-01,Risk of Violence,8,High,2013-03-01,2013-02-28,2013-03-02,0,1,1127,0,0 +2155,carl haberstroh,carl,haberstroh,2013-09-24,Male,1958-07-10,57,Greater than 45,Caucasian,0,7,0,0,15,-32,2013-08-23 03:39:59,2013-09-12 10:31:00,07023637CF10A,,2013-08-23,32,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-24,Risk of Violence,3,Low,2013-09-24,2013-08-23,2013-09-12,15,0,920,0,0 +2156,donald gnau,donald,gnau,2013-04-11,Male,1971-04-15,45,Greater than 45,Caucasian,0,5,0,0,1,0,2013-04-11 12:51:25,2013-05-09 04:33:49,13005176CF10A,2013-04-10,,1,F,Robbery / No Weapon,1,14003643MM40A,(M2),,2014-08-06,Disorderly Intoxication,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-11,Risk of Violence,3,Low,2013-04-11,2014-05-28,2014-05-30,1,28,412,0,1 +2157,shanuce edinburg,shanuce,edinburg,2014-12-16,Female,1995-03-26,21,Less than 25,African-American,0,3,0,0,1,-11,2014-12-05 04:26:22,2014-12-07 03:33:54,14017172MM10A,2014-12-05,,11,M,Trespass Struct/Conveyance,1,15011325CF10A,(F3),0,2015-09-02,Possession of Cocaine,2015-09-02,2015-10-01,,0,,,,,Risk of Recidivism,3,Low,2014-12-16,Risk of Violence,4,Low,2014-12-16,2015-09-02,2015-10-01,1,0,260,1,1 +2159,patrick keane,patrick,keane,2013-05-09,Male,1963-06-20,52,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-05-08 02:05:44,2013-05-09 09:08:14,13006115MM10A,2013-03-29,,41,M,Tresspass Struct/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-09,Risk of Violence,1,Low,2013-05-09,2013-05-08,2013-05-09,2,0,1058,0,0 +2161,alfredo rasco,alfredo,rasco,2013-05-23,Male,1987-03-04,29,25 - 45,Caucasian,0,3,0,0,0,-1,2013-05-22 08:43:56,2013-05-23 08:01:27,13009896MM10A,2013-05-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-23,Risk of Violence,3,Low,2013-05-23,2013-05-22,2013-05-23,0,0,1044,0,0 +2162,reneca turner-davis,reneca,turner-davis,2013-01-24,Female,1978-09-30,37,25 - 45,African-American,0,4,0,0,0,0,2013-01-24 01:57:20,2013-01-29 05:24:05,13001704MM10A,2013-01-24,,0,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-01-24,2013-01-29,0,5,1163,0,0 +2163,lavinel zurz,lavinel,zurz,2013-04-14,Male,1981-06-19,34,25 - 45,Caucasian,0,2,0,1,0,-1,2013-04-13 09:32:38,2013-04-14 07:21:18,13005341CF10A,2013-04-13,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-14,Risk of Violence,1,Low,2013-04-14,2015-01-16,2015-01-22,0,0,642,0,0 +2165,parris brady,parris,brady,2013-01-24,Male,1963-01-20,53,Greater than 45,African-American,0,1,0,0,0,0,2013-01-24 03:10:35,2013-01-25 12:12:01,13001715MM10A,2013-01-23,,1,M,Battery,1,13012068MM10A,(M1),0,2013-06-24,Viol Pretrial Release Dom Viol,2013-06-24,2013-06-25,,1,13013714MM10A,(M1),2013-06-24,Battery,Risk of Recidivism,1,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2013-06-24,2013-06-25,0,1,151,1,1 +2166,crystal melville,crystal,melville,2013-05-03,Female,1985-09-18,30,25 - 45,African-American,0,8,0,0,8,-1,2013-05-02 01:18:42,2013-05-03 12:53:21,13006327CF10A,2013-05-02,,1,F,Robbery / No Weapon,1,15000266MM40A,(M2),,2014-12-14,Petit Theft,,,,0,,,,,Risk of Recidivism,8,High,2013-05-03,Risk of Violence,3,Low,2013-05-03,2013-05-02,2013-05-03,8,0,590,1,1 +2168,christopher baptista,christopher,baptista,2013-08-23,Male,1980-09-20,35,25 - 45,Hispanic,0,3,0,0,0,-7,2013-08-16 04:54:32,2013-08-17 07:16:37,13015540MM10A,2013-08-16,,7,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-23,Risk of Violence,2,Low,2013-08-23,2014-11-26,2014-12-02,0,0,460,0,0 +2169,carlos ariastabima,carlos,ariastabima,2013-05-20,Male,1987-12-21,28,25 - 45,Caucasian,0,4,0,0,1,-1,2013-05-19 05:41:59,2013-05-23 12:31:34,13007152CF10A,2013-05-19,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-20,Risk of Violence,2,Low,2013-05-20,2013-05-19,2013-05-23,1,3,1047,0,0 +2170,timothy stevens,timothy,stevens,2013-04-30,Male,1994-07-09,21,Less than 25,African-American,0,8,0,0,1,-1,2013-04-29 10:52:26,2013-04-30 07:18:46,13006135CF10A,2013-04-29,,1,F,Grand Theft Dwell Property,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-30,Risk of Violence,9,High,2013-04-30,2013-04-29,2013-04-30,1,0,1067,0,0 +2171,leighton quarrie,leighton,quarrie,2013-11-20,Male,1994-04-06,22,Less than 25,African-American,0,7,0,0,1,13,2013-12-03 12:53:50,2014-01-16 03:17:58,13016082CF10A,2013-11-19,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-20,Risk of Violence,6,Medium,2013-11-20,2013-12-03,2014-01-16,1,0,13,0,0 +2176,paul chermak,paul,chermak,2013-10-29,Male,1974-03-24,42,25 - 45,Caucasian,0,3,0,0,1,-1,2013-10-28 08:04:32,2013-10-29 02:05:32,13020406MM10A,2013-10-28,,1,M,Battery,1,14003974CF10A,(F3),0,2014-03-20,Possession of Methadone,2014-03-20,2014-03-21,,1,14003974CF10A,(M1),2014-03-20,Battery,Risk of Recidivism,3,Low,2013-10-29,Risk of Violence,2,Low,2013-10-29,2014-03-20,2014-03-21,1,0,142,1,1 +2178,christopher chisolm,christopher,chisolm,2014-09-09,Male,1989-07-14,26,25 - 45,African-American,0,4,0,0,3,0,2014-09-09 04:01:30,2014-09-09 08:47:38,14012270CF10A,2014-09-09,,0,F,Possession of Cannabis,1,14013188CF10A,(F3),,2014-09-30,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,4,Low,2014-09-09,Risk of Violence,2,Low,2014-09-09,2014-09-09,2014-09-09,3,0,21,1,1 +2179,anthony jackson,anthony,jackson,2013-12-28,Male,1961-06-04,54,Greater than 45,African-American,0,1,0,0,9,0,2013-12-28 01:57:40,2013-12-29 02:05:51,01098533TC30A,,2003-03-16,3940,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,1,Low,2013-12-28,2013-12-28,2013-12-29,9,1,825,0,0 +2180,kory plummer,kory,plummer,2013-09-23,Male,1977-03-11,39,25 - 45,Other,0,2,0,0,1,-1,2013-09-22 10:25:30,2013-09-23 01:52:27,13013355CF10A,2013-09-22,,1,F,"Poss3,4 Methylenedioxymethcath",1,14006533MM10A,(M1),0,2014-03-26,Resist/Obstruct W/O Violence,2014-03-26,2014-04-29,,1,14004270CF10A,(M1),2014-03-26,Battery,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-12-11,2013-12-17,1,0,79,0,1 +2181,anthony peat,anthony,peat,2013-08-25,Male,1986-03-29,30,25 - 45,African-American,2,9,0,0,20,0,2013-08-25 04:11:52,2014-07-08 06:34:39,14007693CF10A,2013-08-25,,0,F,Felony Battery w/Prior Convict,1,15008531MM10A,(M2),0,2015-08-12,Petit Theft,2015-08-12,2015-09-02,,0,,,,,Risk of Recidivism,9,High,2013-08-25,Risk of Violence,5,Medium,2013-08-25,2014-10-04,2015-06-09,20,381,405,0,1 +2182,krystal porter,krystal,porter,2013-09-13,Female,1990-02-22,26,25 - 45,African-American,0,6,0,0,1,-1,2013-09-12 12:49:19,2013-10-10 09:49:49,13012889CF10A,2013-09-12,,1,F,Grand Theft in the 3rd Degree,1,14004530MM10A,(M2),0,2014-03-16,Petit Theft,2014-03-16,2014-07-12,,0,,,,,Risk of Recidivism,6,Medium,2013-09-13,Risk of Violence,4,Low,2013-09-13,2014-03-16,2014-07-12,1,27,184,1,1 +2183,craig coleman,craig,coleman,2014-01-07,Male,1974-10-14,41,25 - 45,African-American,0,1,0,0,0,0,2014-01-07 04:31:06,2014-01-08 03:21:00,14000285MM10A,2014-01-07,,0,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-01-07,2014-01-08,0,1,815,0,0 +2184,scott clark,scott,clark,2014-09-13,Male,1993-01-16,23,Less than 25,Caucasian,1,5,0,1,5,0,2014-09-13 01:32:17,2014-11-06 07:47:31,14013669MM10A,2014-09-13,,0,M,Viol Injunct Domestic Violence,1,15005379CF10A,(F3),,2015-02-25,Burglary Structure Unoccup,,,,0,,,,,Risk of Recidivism,5,Medium,2014-09-13,Risk of Violence,4,Low,2014-09-13,2015-01-20,2015-02-12,5,54,129,0,1 +2186,herbert hawkins,herbert,hawkins,2013-02-11,Male,1972-12-26,43,25 - 45,Caucasian,0,2,0,0,1,-1,2013-02-10 09:37:38,2013-04-16 07:46:56,13002044CF10A,2013-02-10,,1,F,Felony Battery (Dom Strang),1,14013163CF10A,(F3),1,2014-09-28,Felony Battery w/Prior Convict,2014-09-29,2015-02-19,,1,14013163CF10A,(F3),2014-09-28,Felony Battery (Dom Strang),Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-10-06,2013-11-19,1,64,237,0,1 +2188,shaka ruddock,shaka,ruddock,2013-04-20,Male,1994-02-13,22,Less than 25,African-American,0,3,0,0,0,-1,2013-04-19 11:33:48,2013-04-20 01:40:27,13017081TC10A,2013-04-18,,2,M,Susp Drivers Lic 1st Offense,1,13026359TC10A,(M2),,2013-05-05,Driving License Suspended,,,,1,14002769CF10A,(F3),2014-02-27,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2014-02-27,2014-03-02,0,0,15,1,1 +2190,raul terrero,raul,terrero,2013-12-04,Male,1973-11-05,42,25 - 45,Hispanic,0,5,0,0,3,,,,13038758TC10A,2013-08-26,,100,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-04,Risk of Violence,3,Low,2013-12-04,,,3,0,849,0,0 +2193,danielle guggino,danielle,guggino,2014-03-26,Female,1988-12-26,27,25 - 45,Caucasian,0,3,0,0,6,-1,2014-03-25 09:53:07,2014-03-26 10:10:26,14004235CF10A,2014-03-25,,1,F,Grand Theft in the 3rd Degree,1,14004315MM40A,(M2),140,2014-09-11,Petit Theft,2015-01-29,2015-02-03,,0,,,,,Risk of Recidivism,3,Low,2014-03-26,Risk of Violence,3,Low,2014-03-26,2015-01-29,2015-02-03,6,0,169,1,1 +2194,tawana williams,tawana,williams,2013-01-25,Female,1973-07-14,42,25 - 45,African-American,0,3,0,0,2,-1,2013-01-24 11:48:41,2013-02-28 05:30:45,13008351TC10A,,2013-01-24,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-25,Risk of Violence,1,Low,2013-01-25,2013-01-24,2013-02-28,2,34,1162,0,0 +2195,travis thomas,travis,thomas,2014-01-29,Male,1990-08-30,25,25 - 45,African-American,0,6,0,0,8,0,2014-01-29 12:27:09,2014-02-27 12:46:07,14001279CF10A,2014-01-28,,1,F,Grand Theft in the 3rd Degree,1,14007121MM10A,(M1),0,2014-04-29,Petit Theft $100- $300,2014-04-29,2014-05-01,,0,,,,,Risk of Recidivism,6,Medium,2014-01-29,Risk of Violence,5,Medium,2014-01-29,2014-04-29,2014-05-01,8,29,90,1,1 +2196,robert mauney,robert,mauney,2014-02-03,Male,1966-07-24,49,Greater than 45,African-American,0,2,0,0,4,0,2014-02-03 12:18:15,2014-03-11 08:20:05,14001792MM10A,2014-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-03,2014-03-11,4,36,788,0,0 +2197,romanye brown,romanye,brown,2013-04-16,Male,1989-06-24,26,25 - 45,African-American,1,9,0,0,7,-43,2013-03-04 11:43:45,2013-04-12 08:47:34,12015843CF10A,,2013-03-04,43,F,arrest case no charge,1,14015304MM10A,(M1),0,2014-10-21,Unlaw Use False Name/Identity,2014-10-21,2014-12-16,,0,,,,,Risk of Recidivism,9,High,2013-04-16,Risk of Violence,5,Medium,2013-04-16,2014-10-21,2014-12-16,7,0,553,1,1 +2198,james ravino,james,ravino,2013-10-22,Male,1963-09-05,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-10-21 11:28:17,2013-11-15 09:18:28,13014717CF10A,2013-10-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-11-15,1,24,892,0,0 +2201,melinda huffman,melinda,huffman,2013-11-25,Female,1955-04-28,60,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-11-24 04:19:55,2013-11-25 09:02:04,13016357CF10A,2013-11-24,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-24,2013-11-25,2,0,858,0,0 +2205,teresa-marie holness,teresa-marie,holness,2013-03-13,Female,1993-01-26,23,Less than 25,African-American,0,6,0,0,0,-1,2013-03-12 06:19:34,2013-03-13 08:18:42,13004934MM10A,2013-03-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-13,Risk of Violence,6,Medium,2013-03-13,2013-03-12,2013-03-13,0,0,1115,0,0 +2206,theodore blount,theodore,blount,2013-01-30,Male,1985-11-16,30,25 - 45,African-American,0,7,0,0,2,-1,2013-01-29 08:26:44,2013-01-30 08:54:42,07049837TC10A,2007-12-21,,1867,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-30,Risk of Violence,6,Medium,2013-01-30,2014-01-05,2014-04-15,2,0,340,0,0 +2207,antonio young,antonio,young,2013-03-27,Male,1967-07-10,48,Greater than 45,African-American,0,6,0,0,9,0,2013-03-27 08:37:50,2013-03-31 03:02:59,12010225CF10A,,2013-03-27,0,F,arrest case no charge,1,14004677CF10A,(M1),0,2014-04-03,Possession of Cocaine,2014-04-03,2014-04-04,,0,,,,,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,5,Medium,2013-03-27,2014-04-03,2014-04-04,9,4,372,1,1 +2208,mario baptiste,mario,baptiste,2013-08-26,Male,1984-02-09,32,25 - 45,African-American,0,7,0,0,2,0,2013-08-26 03:38:03,2013-08-27 05:13:33,13012049CF10A,2013-08-26,,0,F,Driving While License Revoked,1,14009957MM10A,(M1),0,2014-06-26,Battery,2014-06-26,2014-06-28,,1,14009957MM10A,(M1),2014-06-26,Battery,Risk of Recidivism,7,Medium,2013-08-26,Risk of Violence,5,Medium,2013-08-26,2014-06-26,2014-06-28,2,1,304,1,1 +2209,alex olivo,alex,olivo,2014-03-24,Male,1987-11-13,28,25 - 45,Hispanic,0,3,0,1,3,-1,2014-03-23 04:26:44,2014-03-25 04:03:13,14004108CF10A,2014-03-23,,1,F,Felony Battery (Dom Strang),1,15057564TC30A,(M2),,2015-08-22,Disobey Officer/Fireman,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-24,Risk of Violence,3,Low,2014-03-24,2014-03-23,2014-03-25,3,1,516,1,1 +2211,ervin paul,ervin,paul,2014-07-15,Male,1991-09-13,24,Less than 25,African-American,0,7,0,0,5,-1,2014-07-14 05:11:29,2014-07-15 08:15:45,14009617CF10A,2014-07-14,,1,F,Felony Driving While Lic Suspd,1,15001818MM40A,(M1),,2015-03-31,Theft/To Deprive,,,,0,,,,,Risk of Recidivism,7,Medium,2014-07-15,Risk of Violence,4,Low,2014-07-15,2015-10-14,2015-10-16,5,0,259,1,1 +2212,mercedes holmes,mercedes,holmes,2014-11-12,Female,1990-02-03,26,25 - 45,African-American,0,5,0,0,3,107,2015-02-27 11:33:34,2015-03-07 04:16:20,14000419CF10A,2014-01-10,,306,F,Neglect Child / No Bodily Harm,1,15006137TC10A,(M2),0,2015-02-27,Susp Drivers Lic 1st Offense,2015-02-27,2015-03-07,,0,,,,,Risk of Recidivism,5,Medium,2014-11-12,Risk of Violence,3,Low,2014-11-12,2015-02-27,2015-03-07,3,0,107,1,1 +2215,ricky farlow,ricky,farlow,2013-12-17,Male,1993-06-23,22,Less than 25,African-American,0,5,0,0,3,20,2014-01-06 01:56:32,2014-08-08 10:08:29,13016648CF10A,,2013-11-26,21,F,arrest case no charge,1,14000536CF10A,(F3),0,2014-01-06,Resist Officer w/Violence,2014-01-06,2014-08-08,,1,14000536CF10A,(F3),2014-01-06,Battery on Law Enforc Officer,Risk of Recidivism,5,Medium,2013-12-17,Risk of Violence,8,High,2013-12-17,2014-01-06,2014-08-08,3,0,20,1,1 +2216,dainsley mckenzie,dainsley,mckenzie,2013-02-15,Male,1971-09-05,44,25 - 45,African-American,0,2,0,0,2,-1,2013-02-14 06:58:25,2013-02-16 01:33:11,13002293CF10A,2013-02-14,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-15,Risk of Violence,1,Low,2013-02-15,2013-02-14,2013-02-16,2,1,1141,0,0 +2217,patrick kallman,patrick,kallman,2013-05-26,Male,1984-04-06,32,25 - 45,Caucasian,0,4,0,0,3,-1,2013-05-25 06:05:51,2013-08-19 09:19:45,13007491CF10A,2013-05-25,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-26,Risk of Violence,4,Low,2013-05-26,2015-01-29,2015-02-01,3,85,613,0,0 +2218,markee singletary,markee,singletary,2013-09-21,Female,1989-04-13,27,25 - 45,African-American,0,2,0,0,1,-1,2013-09-20 11:29:45,2013-09-21 08:27:05,13017989MM10A,2013-09-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-21,Risk of Violence,2,Low,2013-09-21,2013-09-20,2013-09-21,1,0,923,0,0 +2220,stephen robinson,stephen,robinson,2014-01-15,Male,1964-03-16,52,Greater than 45,African-American,0,4,0,0,15,0,2014-01-15 05:40:21,2014-01-16 03:54:05,14002103MU10A,2014-01-15,,0,M,Driving Under The Influence,1,14045617TC10A,(M2),0,2014-12-15,Operating W/O Valid License,2014-12-15,2014-12-15,,0,,,,,Risk of Recidivism,4,Low,2014-01-15,Risk of Violence,3,Low,2014-01-15,2014-12-15,2014-12-15,15,1,334,0,1 +2221,james ursia,james,ursia,2014-09-22,Male,1954-09-26,61,Greater than 45,Caucasian,0,2,0,0,3,0,2014-09-22 07:01:15,2014-09-23 03:26:36,14014041MM10A,2014-09-22,,0,M,Battery,1,14038792MU10A,(M1),0,2014-10-20,Refuse Submit Blood/Breath Test,2014-10-20,2014-10-20,,1,15008835CF10A,(F2),2015-07-09,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2014-09-22,Risk of Violence,1,Low,2014-09-22,2014-10-20,2014-10-20,3,1,28,0,1 +2222,billy henley,billy,henley,2013-08-07,Male,1947-02-24,69,Greater than 45,African-American,0,1,0,0,3,0,2013-08-07 02:40:49,2013-08-07 08:00:30,13014927MM10A,2013-08-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,2,Low,2013-08-07,2013-08-07,2013-08-07,3,0,968,0,0 +2223,leo beckford,leo,beckford,2013-08-14,Male,1964-08-24,51,Greater than 45,Other,0,1,0,0,2,-1,2013-08-13 06:08:08,2013-09-16 07:20:06,13011387CF10A,2013-08-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-14,Risk of Violence,1,Low,2013-08-14,2013-08-13,2013-09-16,2,33,961,0,0 +2224,alexandra figueroa,alexandra,figueroa,2014-01-30,Female,1995-02-16,21,Less than 25,Caucasian,0,6,0,0,1,-1,2014-01-29 07:19:41,2014-01-31 03:52:13,14000347CF10A,2013-11-05,,86,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-30,Risk of Violence,6,Medium,2014-01-30,2015-03-23,2015-04-10,1,1,417,0,0 +2226,daniel varnum,daniel,varnum,2013-02-09,Male,1985-03-13,31,25 - 45,Caucasian,1,6,0,0,2,-1,2013-02-08 11:38:00,2013-02-12 08:15:58,13002883MM10A,2013-02-08,,1,M,Possess Cannabis/20 Grams Or Less,1,14009241TC10A,(M2),0,2014-03-07,Susp Drivers Lic 1st Offense,2014-03-07,2014-03-08,,0,,,,,Risk of Recidivism,6,Medium,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2014-03-07,2014-03-08,2,3,391,1,1 +2228,damian harris,damian,harris,2014-10-28,Male,1996-06-30,19,Less than 25,African-American,0,4,2,0,3,-1,2014-10-27 07:39:49,2014-11-26 11:22:02,14014447CF10A,2014-10-27,,1,F,Grand Theft in the 3rd Degree,1,15028684TC40A,(M2),,2015-05-08,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2014-10-28,Risk of Violence,7,Medium,2014-10-28,2014-10-27,2014-11-26,3,29,192,1,1 +2231,james scott,james,scott,2013-01-31,Male,1992-01-17,24,Less than 25,African-American,0,9,5,0,12,0,2013-01-31 03:56:16,2013-03-09 03:03:58,12047991TC10A,,2013-01-31,0,M,arrest case no charge,1,13002145CF10A,(M2),42,2013-02-07,Petit Theft,2013-03-21,2013-05-25,,1,14001817CF10A,(F1),2014-02-09,Agg Battery Law Enforc Officer,Risk of Recidivism,9,High,2013-01-31,Risk of Violence,9,High,2013-01-31,2013-01-31,2013-03-09,12,0,7,1,1 +2233,rafael torres,rafael,torres,2013-03-24,Male,1992-02-20,24,Less than 25,Caucasian,0,8,0,0,3,-1,2013-03-23 07:21:38,2013-03-29 10:17:53,13004231CF10A,2013-03-23,,1,F,Grand Theft in the 3rd Degree,1,13014389CF10A,(F3),0,2013-10-14,"Poss3,4 Methylenedioxymethcath",2013-10-14,2013-10-15,,0,,,,,Risk of Recidivism,8,High,2013-03-24,Risk of Violence,6,Medium,2013-03-24,2013-10-14,2013-10-15,3,5,204,1,1 +2234,guillermo mena,guillermo,mena,2013-09-23,Male,1959-02-10,57,Greater than 45,Hispanic,0,1,0,0,3,-2,2013-09-21 01:28:03,2013-09-22 01:50:17,13013319CF10A,2013-09-21,,2,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-21,2013-09-22,3,0,921,0,0 +2235,joseph navarro,joseph,navarro,2013-08-06,Male,1985-11-02,30,25 - 45,Caucasian,0,7,0,0,6,-1,2013-08-05 09:52:27,2013-08-12 07:37:35,13004813CF10A,,2013-08-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-06,Risk of Violence,8,High,2013-08-06,2013-08-05,2013-08-12,6,6,969,0,0 +2236,andrew gordon,andrew,gordon,2014-12-17,Male,1972-12-18,43,25 - 45,African-American,0,1,0,0,4,-1,2014-12-16 07:58:26,2014-12-18 04:40:49,15002693CF10A,2014-12-17,,0,F,Sound Articles Over 100,1,15017999TC20A,(M2),,2015-03-10,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,1,Low,2014-12-17,Risk of Violence,1,Low,2014-12-17,2014-12-16,2014-12-18,4,1,83,1,1 +2237,alrick harris,alrick,harris,2013-08-23,Male,1991-12-12,24,Less than 25,African-American,0,7,0,1,4,-1,2013-08-22 04:33:49,2013-08-27 01:19:42,13011830CF10A,2013-08-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-23,Risk of Violence,4,Low,2013-08-23,2014-04-12,2014-04-13,4,4,232,0,0 +2239,amy gildon,amy,gildon,2013-10-29,Female,1985-11-04,30,25 - 45,Caucasian,0,7,0,0,7,-18,2013-10-11 07:33:17,2013-10-29 05:43:13,13011376MM10A,,2013-10-12,17,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,3,Low,2013-10-29,2013-10-11,2013-10-29,7,0,885,0,0 +2240,todd mathis,todd,mathis,2014-11-13,Male,1990-12-28,25,25 - 45,African-American,0,9,0,0,5,-1,2014-11-12 11:32:03,2014-11-14 01:37:32,14015226CF10A,2014-11-12,,1,F,Live on Earnings of Prostitute,1,15000440MM10A,(M1),0,2015-01-12,Possess Cannabis/20 Grams Or Less,2015-01-12,2015-01-13,,0,,,,,Risk of Recidivism,9,High,2014-11-13,Risk of Violence,7,Medium,2014-11-13,2015-01-12,2015-01-13,5,1,60,1,1 +2243,david tal-mason,david,tal-mason,2014-07-21,Male,1958-12-14,57,Greater than 45,Caucasian,0,2,0,0,0,,,,,,,,M,,1,14015383CF10A,(F3),0,2014-11-15,Resist Officer w/Violence,2014-11-15,2014-11-16,,1,14015383CF10A,(F3),2014-11-15,Battery on Law Enforc Officer,Risk of Recidivism,2,Low,2014-07-21,Risk of Violence,1,Low,2014-07-21,2014-11-15,2014-11-16,0,0,117,1,1 +2245,rebecca lowery,rebecca,lowery,2013-01-02,Female,1960-04-18,56,Greater than 45,Caucasian,0,8,0,0,1,-1,2013-01-01 08:39:42,2013-06-20 05:12:00,13000039CF10A,2013-01-01,,1,F,Felony DUI (level 3),0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-02,Risk of Violence,3,Low,2013-01-02,2013-06-20,2014-01-21,1,384,1185,0,0 +2246,adrian mclemore,adrian,mclemore,2013-02-20,Male,1994-06-27,21,Less than 25,African-American,0,8,0,0,1,-8,2013-02-12 01:28:50,2013-02-20 09:54:56,13002192CF10A,,2013-02-12,8,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-20,Risk of Violence,8,High,2013-02-20,2013-03-29,2013-12-12,1,0,37,0,0 +2247,anthony perry,anthony,perry,2013-01-05,Male,1984-08-15,31,25 - 45,African-American,3,10,0,0,6,-1,2013-01-04 04:19:50,2013-02-04 12:38:13,13000174CF10A,2013-01-04,,1,F,Resist Officer w/Violence,1,13009179CF10A,(F3),0,2013-06-29,Felony Battery w/Prior Convict,2013-06-29,2014-11-18,,1,13009179CF10A,(F3),2013-06-29,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2013-01-05,Risk of Violence,6,Medium,2013-01-05,2013-06-29,2014-11-18,6,30,175,1,1 +2248,markiesha gill,markiesha,gill,2013-04-18,Female,1992-09-11,23,Less than 25,African-American,0,9,0,0,1,-1,2013-04-17 03:45:44,2013-04-18 09:35:33,13005529CF10A,,2013-04-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-18,Risk of Violence,8,High,2013-04-18,2013-04-17,2013-04-18,1,0,1079,0,0 +2250,theophilus brown,theophilus,brown,2013-03-02,Male,1985-12-09,30,25 - 45,African-American,1,10,0,2,15,-1,2013-03-01 08:46:59,2013-03-03 03:19:38,13003142CF10A,2013-03-01,,1,F,Burglary Unoccupied Dwelling,1,13004291CF10A,(F3),993,2013-03-21,Grand Theft in the 3rd Degree,2015-12-09,2015-12-15,,0,,,,,Risk of Recidivism,10,High,2013-03-02,Risk of Violence,8,High,2013-03-02,2013-03-14,2015-12-03,15,1,19,1,1 +2252,jacques alinstant,jacques,alinstant,2013-06-17,Male,1973-08-20,42,25 - 45,Other,0,1,0,0,1,-13,2013-06-04 03:44:44,2013-06-04 07:34:46,13010751MM10A,2013-06-04,,13,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-17,Risk of Violence,1,Low,2013-06-17,2013-06-04,2013-06-04,1,0,1019,0,0 +2256,anthony wierengo,anthony,wierengo,2013-01-12,Male,1951-08-20,64,Greater than 45,Caucasian,0,3,0,0,0,-1,2013-01-11 08:49:41,2013-04-30 06:24:32,13000501CF10A,2013-01-11,,1,F,Sex Offender Fail Comply W/Law,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-12,Risk of Violence,2,Low,2013-01-12,2013-04-30,2013-11-15,0,307,1175,0,0 +2258,almalinda gonzalez,almalinda,gonzalez,2014-12-28,Female,1995-01-11,21,Less than 25,Caucasian,0,6,0,0,0,-1,2014-12-27 09:18:01,2014-12-28 01:35:14,14017089CF10A,2014-12-27,,1,F,Grand Theft in the 3rd Degree,1,15005073CF10A,(F3),0,2015-04-17,Grand Theft in the 3rd Degree,2015-04-17,2015-04-18,,1,15002242MM20A,(M1),2015-08-15,Battery,Risk of Recidivism,6,Medium,2014-12-28,Risk of Violence,6,Medium,2014-12-28,2015-04-17,2015-04-18,0,0,110,1,1 +2259,lee williams,lee,williams,2013-10-30,Male,1979-12-04,36,25 - 45,African-American,0,3,0,0,5,17,2013-11-16 02:26:39,2013-11-27 05:46:49,08018965CF10A,,2011-08-27,795,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-30,Risk of Violence,2,Low,2013-10-30,2013-11-16,2013-11-27,5,0,17,0,0 +2261,ernestine parrish,ernestine,parrish,2013-08-30,Female,1965-11-17,50,Greater than 45,African-American,0,1,0,0,1,-1,2013-08-29 06:41:54,2013-08-30 08:31:24,12014982CF10A,,2013-08-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-30,Risk of Violence,1,Low,2013-08-30,2013-08-29,2013-08-30,1,0,945,0,0 +2262,brian butler,brian,butler,2014-10-22,Male,1993-01-29,23,Less than 25,African-American,0,3,0,0,0,0,2014-10-22 12:11:33,2014-10-23 03:13:19,14015322MM10A,2014-10-21,,1,M,Battery,1,14014788CF10A,(F3),0,2014-11-03,Contempt Of Court,2014-11-03,2014-11-04,,0,,,,,Risk of Recidivism,3,Low,2014-10-22,Risk of Violence,4,Low,2014-10-22,2014-11-03,2014-11-04,0,1,12,1,1 +2263,reuben billie,reuben,billie,2013-04-26,Male,1987-12-22,28,25 - 45,Native American,0,3,0,0,2,-1,2013-04-25 08:44:42,2013-06-13 10:12:31,13005974CF10A,2013-04-25,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-26,Risk of Violence,4,Low,2013-04-26,2013-04-25,2013-06-13,2,48,1071,0,0 +2268,lauren perry,lauren,perry,2013-01-28,Female,1990-04-20,25,25 - 45,Caucasian,0,7,0,0,5,-3,2013-01-25 01:47:43,2013-01-25 09:37:49,13001264CF10A,2013-01-24,,4,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-28,Risk of Violence,4,Low,2013-01-28,2013-02-15,2013-02-20,5,0,18,0,0 +2269,patricia maccall,patricia,maccall,2013-09-12,Female,1969-04-19,47,Greater than 45,African-American,0,6,0,0,1,,,,11013532CF10A,2011-08-12,,762,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-12,Risk of Violence,3,Low,2013-09-12,,,1,0,932,0,0 +2271,doyen small,doyen,small,2013-12-13,Male,1988-01-11,28,25 - 45,African-American,0,8,0,1,7,104,2014-03-27 07:41:23,2014-05-05 11:05:41,07014551CF10A,,2013-12-04,9,F,arrest case no charge,1,14004320CF10A,(F3),0,2014-03-27,Attempt Crim Use of Personal ID Info,2014-03-27,2014-05-05,,0,,,,,Risk of Recidivism,8,High,2013-12-13,Risk of Violence,7,Medium,2013-12-13,2014-03-27,2014-05-05,7,0,104,1,1 +2272,freddy romero,freddy,romero,2013-11-01,Male,1963-01-11,53,Greater than 45,Hispanic,0,10,0,0,4,,,,11007863CF10A,,2012-06-29,490,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-11-01,Risk of Violence,5,Medium,2013-11-01,2012-06-27,2012-07-01,4,0,882,0,0 +2274,joseph diaz,joseph,diaz,2014-04-09,Male,1961-06-21,54,Greater than 45,Caucasian,0,4,0,0,14,-1,2014-04-08 09:56:20,2014-05-06 10:12:47,14005998MM10A,2014-04-08,,1,M,Battery,1,14007611MM10A,(M1),0,2014-05-07,Resist/Obstruct W/O Violence,2014-05-07,2014-08-05,,1,15007515CF10A,(F3),2015-06-09,Battery Emergency Care Provide,Risk of Recidivism,4,Low,2014-04-09,Risk of Violence,3,Low,2014-04-09,2014-05-07,2014-08-05,14,27,28,1,1 +2276,oneil ebanks,oneil,ebanks,2013-12-27,Male,1979-01-14,37,25 - 45,Other,0,1,0,0,6,-1,2013-12-26 04:59:22,2013-12-27 08:15:19,13023823MM10A,2013-12-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,2,Low,2013-12-27,2013-12-26,2013-12-27,6,0,826,0,0 +2277,omar sao,omar,sao,2013-11-07,Male,1990-09-22,25,25 - 45,Caucasian,0,9,0,1,5,-1,2013-11-06 11:10:50,2013-11-21 09:35:41,13013970MM10A,,2013-11-06,1,M,arrest case no charge,1,14067085TC40A,(M1),18,2014-09-29,Opert With Susp DL 2nd Offens,2014-10-17,2014-10-18,,1,15009628CF10A,(F3),2015-03-16,Felony Battery w/Prior Convict,Risk of Recidivism,9,High,2013-11-07,Risk of Violence,8,High,2013-11-07,2013-11-06,2013-11-21,5,14,326,1,1 +2278,thomas whalen,thomas,whalen,2013-11-10,Male,1953-01-15,63,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-10 02:08:05,2013-11-13 05:58:16,13021195MM10A,2013-11-09,,1,M,Battery,1,14006033MM10A,(M1),1,2014-04-09,Viol Pretrial Release Dom Viol,2014-04-10,2014-04-21,,0,,,,,Risk of Recidivism,1,Low,2013-11-10,Risk of Violence,1,Low,2013-11-10,2013-11-10,2013-11-13,0,3,150,1,1 +2279,james burns,james,burns,2014-03-22,Male,1981-03-25,35,25 - 45,African-American,0,7,0,0,2,-1,2014-03-21 03:10:20,2014-03-22 08:07:10,14004981MM10A,2014-03-21,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-22,Risk of Violence,4,Low,2014-03-22,2014-03-21,2014-03-22,2,0,741,0,0 +2280,markel landers,markel,landers,2013-10-30,Male,1995-12-29,20,Less than 25,African-American,9,4,0,0,9,-70,2013-08-21 12:33:22,2013-10-25 10:48:38,13013753CF10A,,2013-10-07,23,F,arrest case no charge,1,14007040MM10A,(M1),0,2014-04-28,Unlaw Use False Name/Identity,2014-04-28,2015-02-03,,0,,,,,Risk of Recidivism,4,Low,2013-10-30,Risk of Violence,7,Medium,2013-10-30,2014-04-28,2015-02-03,9,0,180,1,1 +2281,alfonso hamilton,alfonso,hamilton,2013-01-22,Male,1989-09-22,26,25 - 45,Hispanic,0,1,0,0,0,-1,2013-01-21 08:16:29,2013-01-22 01:59:00,13001425MM10A,2013-01-21,,1,M,Battery,1,13003832MM10A,(M2),0,2013-02-24,Fail To Obey Police Officer,2013-02-24,2013-04-03,,0,,,,,Risk of Recidivism,1,Low,2013-01-22,Risk of Violence,3,Low,2013-01-22,2013-02-24,2013-04-03,0,0,33,1,1 +2282,shawn flecther,shawn,flecther,2014-03-23,Male,1984-01-18,32,25 - 45,African-American,0,3,0,0,2,,,,10019917CF10B,,2012-05-15,677,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-23,Risk of Violence,3,Low,2014-03-23,,,2,0,740,0,0 +2283,alton roberts,alton,roberts,2013-04-09,Male,1990-10-26,25,25 - 45,African-American,0,10,0,0,8,-1,2013-04-08 05:47:18,2013-04-10 01:26:53,13006769MM10A,2013-04-08,,1,M,Battery,1,13011245CF10A,(F3),0,2013-08-10,Attempted Robbery No Weapon,2013-08-10,2013-10-02,,1,13011245CF10A,(F3),2013-08-10,Attempted Robbery No Weapon,Risk of Recidivism,10,High,2013-04-09,Risk of Violence,10,High,2013-04-09,2013-04-23,2013-04-26,8,1,14,0,1 +2284,kenneth alvarez,kenneth,alvarez,2013-12-02,Male,1982-08-28,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-01 10:12:15,2013-12-02 01:55:48,13022369MM10A,2013-12-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0 +2285,alexander santana,alexander,santana,2013-03-12,Male,1986-05-22,29,25 - 45,African-American,0,3,0,0,7,-1,2013-03-11 06:21:47,2013-03-13 02:21:18,13003329CF10A,,2013-03-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-12,Risk of Violence,4,Low,2013-03-12,2013-06-12,2013-06-14,7,1,92,0,0 +2286,jeffrey sabogal,jeffrey,sabogal,2013-02-21,Male,1989-03-09,27,25 - 45,Hispanic,0,4,0,0,2,-1,2013-02-20 06:36:20,2013-02-21 01:30:47,13003618MM10A,2013-02-20,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-21,Risk of Violence,3,Low,2013-02-21,2013-02-20,2013-02-21,2,0,1135,0,0 +2287,anthony mcdougle,anthony,mcdougle,2013-05-19,Male,1978-08-19,37,25 - 45,African-American,1,9,0,1,12,-1,2013-05-18 08:27:45,2013-05-19 01:14:43,13009597MM10A,2013-05-18,,1,M,Disorderly Intoxication,1,13019770MM10A,(M2),1,2013-10-18,Trespass Struct/Conveyance,2013-10-19,2013-10-19,,0,,,,,Risk of Recidivism,9,High,2013-05-19,Risk of Violence,10,High,2013-05-19,2014-02-12,2014-02-13,12,0,152,1,1 +2289,chloe bridges,chloe,bridges,2014-03-26,Female,1995-06-26,20,Less than 25,Caucasian,0,10,2,1,3,-1,2014-03-25 06:58:54,2014-03-26 01:23:55,14005167MM10A,2014-03-25,,1,M,Battery,1,15008702MM10A,(M1),0,2015-08-17,Battery,2015-08-17,2015-08-18,,1,15008702MM10A,(M1),2015-08-17,Battery,Risk of Recidivism,10,High,2014-03-26,Risk of Violence,8,High,2014-03-26,2014-04-22,2014-05-28,3,0,27,0,1 +2290,rahiem tracey,rahiem,tracey,2014-08-17,Male,1984-01-26,32,25 - 45,African-American,0,2,0,0,1,-1,2014-08-16 03:33:47,2014-08-17 08:45:33,14011231CF10A,2014-08-16,,1,F,Pos Cannabis W/Intent Sel/Del,1,14004839MM40A,(M1),,2014-10-27,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,2,Low,2014-08-17,Risk of Violence,2,Low,2014-08-17,2014-08-16,2014-08-17,1,0,71,1,1 +2291,joseph mcmahon,joseph,mcmahon,2013-06-17,Male,1943-12-30,72,Greater than 45,Caucasian,0,1,0,0,1,-23,2013-05-25 07:53:47,2013-05-26 08:34:25,13010046MM10A,2013-05-25,,23,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-17,Risk of Violence,1,Low,2013-06-17,2013-05-25,2013-05-26,1,0,1019,0,0 +2292,alex kantzelis,alex,kantzelis,2013-04-17,Male,1977-06-11,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-16 03:54:04,2013-04-18 10:30:00,13005461CF10A,2013-04-16,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2014-10-14,2014-10-17,0,1,545,0,0 +2293,santos perez,santos,perez,2013-03-09,Male,1975-08-31,40,25 - 45,Caucasian,0,2,0,0,0,-1,2013-03-08 09:44:15,2013-03-09 01:22:15,13003459CF10A,2013-03-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,0,0,1119,0,0 +2294,jose pascual,jose,pascual,2014-03-13,Male,1993-01-25,23,Less than 25,Caucasian,0,3,0,0,0,-1,2014-03-12 12:50:45,2014-03-13 10:24:23,14003530CF10A,2014-03-12,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,4,Low,2014-03-13,2014-03-12,2014-03-13,0,0,750,0,0 +2297,kyle cossick,kyle,cossick,2014-05-19,Male,1995-01-10,21,Less than 25,Caucasian,0,8,0,0,5,-10,2014-05-09 09:30:19,2014-05-11 01:49:57,14006500CF10A,2014-05-09,,10,F,Poss Pyrrolidinovalerophenone,1,14016163CF10A,(F2),36,2014-10-29,Agg Battery Grt/Bod/Harm,2014-12-04,2015-09-11,,1,14016163CF10A,(F2),2014-10-29,Agg Battery Grt/Bod/Harm,Risk of Recidivism,8,High,2014-05-19,Risk of Violence,8,High,2014-05-19,2016-03-23,2016-03-29,5,0,163,1,1 +2299,daniel oneil,daniel,oneil,2013-05-10,Male,1988-08-04,27,25 - 45,Caucasian,0,7,0,0,4,0,2013-05-10 03:57:29,2013-05-10 07:50:28,13006710CF10A,2013-05-10,,0,F,"Poss3,4 Methylenedioxymethcath",1,14003976MU10A,(M2),1,2014-01-31,Driving Under The Influence,2014-02-01,2014-02-01,,0,,,,,Risk of Recidivism,7,Medium,2013-05-10,Risk of Violence,4,Low,2013-05-10,2014-02-01,2014-02-01,4,0,266,1,1 +2300,phillip gomez,phillip,gomez,2014-11-04,Male,1960-12-12,55,Greater than 45,Caucasian,0,6,0,0,13,-1,2014-11-03 12:57:30,2014-11-04 08:57:17,14014777CF10A,2014-11-03,,1,F,Possession of Cocaine,1,14016448MM10A,(M1),0,2014-11-17,Trespass Other Struct/Convey,2014-11-17,2014-12-09,,0,,,,,Risk of Recidivism,6,Medium,2014-11-04,Risk of Violence,7,Medium,2014-11-04,2014-11-17,2014-12-09,13,0,13,1,1 +2301,mcken scott,mcken,scott,2013-09-26,Male,1993-04-03,23,Less than 25,African-American,0,9,3,0,5,,,,13013545CF10A,2013-09-26,,0,F,Burglary Structure Unoccup,1,13047358TC10A,(M2),,2013-12-11,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,9,High,2013-09-26,Risk of Violence,9,High,2013-09-26,,,5,0,76,1,1 +2303,leah hein,leah,hein,2014-01-10,Female,1975-04-11,41,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-09 08:49:51,2014-01-10 01:49:35,14000418MM10A,2014-01-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-10,Risk of Violence,1,Low,2014-01-10,2014-01-09,2014-01-10,0,0,812,0,0 +2306,george zargos,george,zargos,2013-05-16,Male,1959-08-15,56,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-05-15 06:33:00,2013-05-17 09:07:02,13009401MM10A,2013-05-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-16,Risk of Violence,1,Low,2013-05-16,2013-05-15,2013-05-17,1,1,1051,0,0 +2307,billy johnson,billy,johnson,2013-05-03,Male,1961-01-18,55,Greater than 45,Caucasian,0,7,0,0,11,-1,2013-05-02 03:15:21,2013-06-28 09:30:37,11083457TC20A,,2012-05-30,338,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-03,Risk of Violence,3,Low,2013-05-03,2013-10-01,2013-10-19,11,56,151,0,0 +2309,melissa sanchez,melissa,sanchez,2013-06-11,Female,1992-06-22,23,Less than 25,Hispanic,0,6,0,0,0,-2,2013-06-09 12:16:01,2013-06-11 01:19:44,13008138CF10A,2013-06-08,,3,F,Possession of Cocaine,1,13014192MM10A,(M2),0,2013-07-26,Procure For Prostitution,2013-07-26,2013-08-22,,0,,,,,Risk of Recidivism,6,Medium,2013-06-11,Risk of Violence,5,Medium,2013-06-11,2013-07-26,2013-08-22,0,0,45,1,1 +2310,lloyd sterling,lloyd,sterling,2013-08-24,Male,1987-05-17,28,25 - 45,African-American,0,2,0,0,3,-1,2013-08-23 12:58:10,2013-08-24 09:05:06,13011917CF10A,2013-08-23,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-24,Risk of Violence,2,Low,2013-08-24,2013-08-23,2013-08-24,3,0,951,0,0 +2311,barrington christie,barrington,christie,2013-05-02,Male,1985-03-03,31,25 - 45,Other,0,2,0,0,2,-1,2013-05-01 03:08:07,2013-05-14 11:36:33,13006246CF10A,,2013-05-01,1,F,arrest case no charge,1,14009764CF10A,(M1),140,2014-03-07,Viol Injunct Domestic Violence,2014-07-25,2014-07-29,,1,14009764CF10A,(F2),2014-03-07,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2013-05-02,Risk of Violence,4,Low,2013-05-02,2013-05-01,2013-05-14,2,12,309,1,1 +2314,michael barfield,michael,barfield,2013-05-17,Male,1959-09-19,56,Greater than 45,African-American,0,2,0,0,3,-49,2013-03-29 09:31:42,2013-05-17 10:53:22,13006073MM10A,2013-03-29,,49,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-17,Risk of Violence,1,Low,2013-05-17,2013-07-14,2013-08-05,3,0,58,0,0 +2316,michael burgess,michael,burgess,2013-04-15,Male,1963-03-17,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-14 09:55:04,2013-04-15 07:44:31,13007213MM10A,2013-04-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-04-14,2013-04-15,0,0,1082,0,0 +2317,aton francis,aton,francis,2014-11-15,Male,1988-04-26,27,25 - 45,African-American,0,5,0,0,6,-1,2014-11-14 10:20:22,2014-11-24 10:35:08,14015392CF10A,2014-11-14,,1,F,Possession Of Methamphetamine,1,15012017CF10A,(F3),0,2015-09-16,Burglary Conveyance Unoccup,2015-09-16,2015-11-21,,0,,,,,Risk of Recidivism,5,Medium,2014-11-15,Risk of Violence,4,Low,2014-11-15,2015-09-16,2015-11-21,6,9,305,1,1 +2318,agli caca,agli,caca,2013-12-31,Male,1993-07-26,22,Less than 25,Caucasian,0,5,0,0,0,-1,2013-12-30 09:35:38,2013-12-31 09:30:33,13018002CF10A,2013-12-30,,1,F,Grand Theft in the 3rd Degree,1,14003275MM10A,(M1),0,2014-02-25,Petit Theft $100- $300,2014-02-25,2014-02-26,,0,,,,,Risk of Recidivism,5,Medium,2013-12-31,Risk of Violence,6,Medium,2013-12-31,2014-02-25,2014-02-26,0,0,56,1,1 +2320,shakeria higgs,shakeria,higgs,2014-01-30,Female,1993-05-08,22,Less than 25,African-American,0,4,0,1,0,-1,2014-01-29 08:32:59,2014-01-30 01:32:46,14001316CF10A,2014-01-29,,1,F,Grand Theft in the 3rd Degree,1,15001853TC10A,(M2),0,2015-01-19,Fail Register Vehicle,2015-01-19,2015-01-20,,0,,,,,Risk of Recidivism,4,Low,2014-01-30,Risk of Violence,4,Low,2014-01-30,2015-01-19,2015-01-20,0,0,354,1,1 +2321,terrance williams,terrance,williams,2013-03-02,Male,1982-11-19,33,25 - 45,African-American,0,6,0,0,7,-1,2013-03-01 05:09:59,2013-03-03 04:26:19,13004224MM10A,2013-03-01,,1,M,Viol Prot Injunc Repeat Viol,1,14008781CF10A,(F3),0,2014-05-30,Felony Battery w/Prior Convict,2014-05-30,2014-05-31,,1,14008676MM10A,(M1),2014-05-30,Battery,Risk of Recidivism,6,Medium,2013-03-02,Risk of Violence,7,Medium,2013-03-02,2013-12-12,2014-04-21,7,1,285,0,1 +2322,kirk jenkins,kirk,jenkins,2013-04-26,Male,1982-01-16,34,25 - 45,African-American,0,7,0,0,15,-6,2013-04-20 04:52:17,2013-04-26 10:39:19,13005663CF10A,,2013-04-20,6,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-26,Risk of Violence,7,Medium,2013-04-26,2013-12-12,2013-12-16,15,0,230,0,0 +2324,luis valenzuela,luis,valenzuela,2013-11-01,Male,1993-06-30,22,Less than 25,Hispanic,0,3,0,0,0,0,2013-11-01 05:09:17,2013-11-02 03:00:00,13020654MM10A,2013-11-01,,0,M,Battery,1,14001290MM30A,(M1),,2014-07-24,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-01,Risk of Violence,5,Medium,2013-11-01,2013-11-01,2013-11-02,0,1,265,1,1 +2326,jerrod moore,jerrod,moore,2013-01-15,Male,1983-11-15,32,25 - 45,African-American,0,8,0,0,12,-1,2013-01-14 02:13:57,2013-01-15 06:58:20,13000626CF10A,2013-01-14,,1,F,Possession of Cocaine,1,16000466CF10A,(F3),0,2016-01-12,,2016-01-12,2016-01-13,,0,,,,,Risk of Recidivism,8,High,2013-01-15,Risk of Violence,6,Medium,2013-01-15,2016-01-12,2016-01-13,12,0,1092,1,0 +2327,ronnie brown,ronnie,brown,2013-05-29,Male,1968-12-02,47,Greater than 45,African-American,4,9,0,1,14,-1,2013-05-28 10:29:53,2013-05-29 01:39:49,13007600CF10A,2013-05-28,,1,F,Grand Theft in the 3rd Degree,1,14004495CF10A,(F3),0,2014-03-31,Felony Petit Theft,2014-03-31,2014-07-17,,0,,,,,Risk of Recidivism,9,High,2013-05-29,Risk of Violence,4,Low,2013-05-29,2014-03-31,2014-07-17,14,0,306,1,1 +2328,christopher piperwang,christopher,piperwang,2013-01-10,Male,1991-12-01,24,Less than 25,Asian,0,2,0,0,0,0,2013-01-10 02:33:14,2013-01-10 06:49:00,13000598MM10A,2013-01-09,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,3,Low,2013-01-10,2013-01-10,2013-01-10,0,0,1177,0,0 +2329,glenn mckennie,glenn,mckennie,2013-09-22,Male,1990-08-09,25,25 - 45,African-American,0,10,4,4,14,-1,2013-09-21 05:23:05,2013-12-13 05:27:00,13013310CF10A,2013-09-21,,1,F,Grand Theft (Motor Vehicle),1,14013683CF10A,(F3),0,2014-10-10,Uttering a Forged Instrument,2014-10-10,2015-02-05,,0,,,,,Risk of Recidivism,10,High,2013-09-22,Risk of Violence,7,Medium,2013-09-22,2014-10-10,2015-02-05,14,82,383,1,1 +2332,michael hin,michael,hin,2013-04-30,Male,1960-01-23,56,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-30 12:38:57,2013-04-30 07:45:44,13006137CF10A,2013-04-29,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-30,2013-04-30,0,0,1067,0,0 +2334,gabriel lovato,gabriel,lovato,2013-01-07,Male,1979-10-17,36,25 - 45,Hispanic,0,4,0,0,1,30,2013-02-06 10:09:18,2013-05-24 06:02:05,12018293CF10A,2012-12-16,,22,F,Aggravated Battery,1,13001876CF10A,(F7),,2013-02-06,Armed Kidnapping,,,,1,13001876CF10A,(F7),2013-02-06,Armed Kidnapping,Risk of Recidivism,4,Low,2013-01-07,Risk of Violence,4,Low,2013-01-07,2013-02-06,2013-05-24,1,0,30,1,1 +2335,joey willingham,joey,willingham,2013-05-14,Male,1988-03-18,28,25 - 45,African-American,0,6,0,0,4,0,2013-05-14 03:57:54,2013-06-04 05:09:09,13006892CF10A,2013-05-13,,1,F,Burglary Dwelling Assault/Batt,1,13014757MM10A,(M1),1,2013-08-05,Viol Injunct Domestic Violence,2013-08-06,2013-08-16,,1,15007770CF10A,(F3),2015-06-13,Robbery Sudd Snatch No Weapon,Risk of Recidivism,6,Medium,2013-05-14,Risk of Violence,5,Medium,2013-05-14,2013-05-14,2013-06-04,4,21,83,1,1 +2336,jacksin lumas,jacksin,lumas,2014-06-21,Male,1995-09-17,20,Less than 25,African-American,2,9,0,0,2,-1,2014-06-20 09:05:06,2014-06-21 08:48:06,14008531CF10A,2014-06-20,,1,F,Grand Theft in the 3rd Degree,1,14017556MM10A,(M1),0,2014-12-13,Petit Theft $100- $300,2014-12-13,2015-11-17,,0,,,,,Risk of Recidivism,9,High,2014-06-21,Risk of Violence,7,Medium,2014-06-21,2014-10-28,2014-11-13,2,0,129,0,1 +2338,osvaldo rodriquez,osvaldo,rodriquez,2013-08-27,Male,1957-03-28,59,Greater than 45,Hispanic,0,1,0,0,0,-2,2013-08-25 04:54:17,2013-08-26 08:49:40,13016251MM10A,2013-08-25,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-25,2013-08-26,0,0,948,0,0 +2339,ashley caparelli,ashley,caparelli,2014-03-19,Female,1988-11-19,27,25 - 45,Caucasian,0,7,0,0,1,,,,13008848CF10A,,2013-07-24,238,F,arrest case no charge,1,15000340MM20A,(M2),,2015-01-13,Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-19,Risk of Violence,3,Low,2014-03-19,,,1,0,300,1,1 +2342,glorisha davis,glorisha,davis,2013-11-03,Female,1986-11-30,29,25 - 45,African-American,0,8,0,0,11,-1,2013-11-02 11:52:10,2013-11-03 07:25:02,13015266CF10A,2013-11-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-03,Risk of Violence,5,Medium,2013-11-03,2013-11-02,2013-11-03,11,0,880,0,0 +2343,david hutton,david,hutton,2014-03-19,Male,1944-01-22,72,Greater than 45,Caucasian,0,1,0,0,3,-5,2014-03-14 12:25:05,2014-03-19 02:55:55,75003147CF10A,,2014-03-14,5,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-19,Risk of Violence,1,Low,2014-03-19,2014-03-14,2014-03-19,3,0,744,0,0 +2344,juliet francis,juliet,francis,2013-02-02,Female,1991-06-26,24,Less than 25,African-American,0,7,0,0,2,-1,2013-02-01 08:31:26,2013-02-15 08:31:42,13002363MM10A,2013-02-01,,1,M,Assault,1,13076094TC40A,(M2),26,2013-10-22,Fail Register Vehicle,2013-11-17,2013-11-18,,0,,,,,Risk of Recidivism,7,Medium,2013-02-02,Risk of Violence,8,High,2013-02-02,2013-02-01,2013-02-15,2,13,262,1,1 +2349,jean joseph,jean,joseph,2013-07-31,Male,1971-03-12,45,Greater than 45,African-American,0,9,0,0,3,6,2013-08-06 05:19:17,2013-09-11 11:36:45,13009009CF10A,2013-06-26,,35,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-07-31,Risk of Violence,1,Low,2013-07-31,2013-08-06,2013-09-11,3,0,6,0,0 +2350,darryl kelly,darryl,kelly,2014-04-05,Male,1985-10-30,30,25 - 45,African-American,0,10,0,0,7,0,2014-04-05 01:40:40,2014-04-07 03:04:32,14005791MM10A,2014-04-04,,1,M,Assault,1,14029234TC10A,(M2),0,2014-08-11,Susp Drivers Lic 1st Offense,2014-08-11,2014-08-12,,0,,,,,Risk of Recidivism,10,High,2014-04-05,Risk of Violence,10,High,2014-04-05,2014-08-11,2014-08-12,7,2,128,1,1 +2352,evience aime,evience,aime,2013-01-02,Male,1970-12-06,45,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-01 11:17:23,2013-01-02 07:35:39,13000056MM10A,2013-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,2013-01-01,2013-01-02,0,0,1185,0,0 +2353,edward marko,edward,marko,2014-02-12,Male,1968-06-14,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-11 08:50:50,2014-02-12 08:19:27,14002371MM10A,2014-02-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-02-11,2014-02-12,0,0,779,0,0 +2354,terrance mcdougle,terrance,mcdougle,2013-08-08,Male,1992-03-18,24,Less than 25,African-American,0,3,0,0,0,-1,2013-08-07 07:24:46,2013-08-17 04:49:12,13011053CF10A,2013-08-07,,1,F,Burgl Dwel/Struct/Convey Armed,1,13012533CF10A,(M2),0,2013-09-05,Prowling/Loitering,2013-09-05,2013-10-02,,0,,,,,Risk of Recidivism,3,Low,2013-08-08,Risk of Violence,4,Low,2013-08-08,2013-09-05,2013-10-02,0,9,28,1,1 +2355,welton thomas,welton,thomas,2014-09-09,Male,1995-12-16,20,Less than 25,African-American,0,3,0,0,0,-1,2014-09-08 10:28:08,2014-09-11 05:12:33,14013402MM10A,2014-09-08,,1,M,Battery,1,15074475TC30A,(M2),0,2015-11-04,Operating W/O Valid License,2015-11-04,2015-11-05,,0,,,,,Risk of Recidivism,3,Low,2014-09-09,Risk of Violence,6,Medium,2014-09-09,2015-11-04,2015-11-05,0,2,421,1,1 +2356,valentin subu,valentin,subu,2014-05-12,Male,1964-11-12,51,Greater than 45,Caucasian,0,1,0,0,6,0,2014-05-12 01:49:09,2014-05-12 07:22:31,14006578CF10A,,2014-05-12,0,F,arrest case no charge,1,14007960MM10A,(M2),0,2014-05-15,Petit Theft,2014-05-15,2014-05-16,,0,,,,,Risk of Recidivism,1,Low,2014-05-12,Risk of Violence,1,Low,2014-05-12,2014-05-15,2014-05-16,6,0,3,1,1 +2357,cornelius mccloud,cornelius,mccloud,2014-03-05,Male,1982-01-22,34,25 - 45,African-American,0,3,0,0,2,,,,13070495NI20A,2013-10-28,,128,M,Ride Tri-Rail Without Paying,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-05,Risk of Violence,2,Low,2014-03-05,2007-07-26,2008-03-22,2,0,758,0,0 +2360,zaire stroman,zaire,stroman,2013-04-10,Male,1994-03-02,22,Less than 25,Hispanic,0,3,0,0,2,102,2013-07-21 08:15:37,2013-07-22 02:48:13,12011072CF10A,,2012-07-27,257,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-10,Risk of Violence,6,Medium,2013-04-10,2013-07-21,2013-07-22,2,0,102,0,0 +2361,cindy stillman,cindy,stillman,2013-08-11,Female,1967-01-06,49,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-08-10 09:55:10,2013-08-22 09:53:33,13015118MM10A,2013-08-10,,1,M,Viol Prot Injunc Repeat Viol,1,14001195MM20A,(M1),66,2014-04-13,Viol Injunct Domestic Violence,2014-06-18,2014-06-19,,0,,,,,Risk of Recidivism,2,Low,2013-08-11,Risk of Violence,1,Low,2013-08-11,2013-08-10,2013-08-22,2,11,245,1,1 +2363,christopher agapay,christopher,agapay,2013-09-12,Male,1974-10-30,41,25 - 45,Caucasian,0,1,0,0,5,-1,2013-09-11 06:57:23,2013-09-12 08:29:30,13012876CF10A,2013-09-11,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-12,5,0,932,0,0 +2365,james yarbough,james,yarbough,2014-01-21,Male,1966-04-30,49,Greater than 45,Caucasian,0,3,0,0,1,-16,2014-01-05 12:24:06,2014-01-18 09:56:35,14000164CF10A,2014-01-04,,17,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-01-05,2014-01-18,1,0,801,0,0 +2366,john lopez,john,lopez,2013-10-07,Male,1989-11-27,26,25 - 45,Hispanic,0,1,0,0,0,-1,2013-10-06 06:10:59,2013-10-07 02:03:13,13018986MM10A,2013-10-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-07,Risk of Violence,2,Low,2013-10-07,2013-10-06,2013-10-07,0,0,907,0,0 +2367,barbara magnum,barbara,magnum,2013-12-17,Female,1981-11-06,34,25 - 45,Caucasian,0,3,0,0,2,-49,2013-10-29 08:31:46,2013-12-09 09:47:28,13015084CF10A,2013-10-29,,49,F,Uttering a Forged Instrument,1,14006913MM10A,(M1),,2014-02-08,Petit Theft $100- $300,,,,1,14004799CF10A,(F2),2014-04-04,Robbery / No Weapon,Risk of Recidivism,3,Low,2013-12-17,Risk of Violence,2,Low,2013-12-17,2014-04-04,2014-10-15,2,0,53,1,1 +2370,shadae scott,shadae,scott,2013-10-21,Female,1987-06-28,28,25 - 45,African-American,0,3,0,0,0,-1,2013-10-20 09:56:04,2013-10-21 09:59:59,13019834MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-21,Risk of Violence,3,Low,2013-10-21,2013-10-20,2013-10-21,0,0,893,0,0 +2371,caesar silva,caesar,silva,2013-03-30,Male,1982-11-02,33,25 - 45,Caucasian,0,2,0,0,2,-1,2013-03-29 10:41:27,2013-03-31 02:30:16,13020967TC10A,2013-03-29,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-30,Risk of Violence,2,Low,2013-03-30,2013-03-29,2013-03-31,2,1,1098,0,0 +2372,jospeh lenoir,jospeh,lenoir,2013-11-12,Male,1969-06-28,46,Greater than 45,African-American,0,7,0,0,0,0,2013-11-12 12:24:02,2013-11-13 02:28:20,13015695CF10A,2013-11-11,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-12,Risk of Violence,4,Low,2013-11-12,2013-11-12,2013-11-13,0,1,871,0,0 +2374,rakesh davis,rakesh,davis,2013-03-07,Male,1994-04-21,21,Less than 25,African-American,0,4,0,0,0,-1,2013-03-06 12:46:52,2013-03-08 05:32:23,13004552MM10A,2013-03-06,,1,M,Disrupting School Function,1,16000621MM10A,(M2),,2015-12-31,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-07,Risk of Violence,6,Medium,2013-03-07,2013-03-06,2013-03-08,0,1,1029,1,0 +2376,patrick myree,patrick,myree,2013-08-13,Male,1989-11-18,26,25 - 45,African-American,0,9,1,3,14,0,2013-08-13 12:24:29,2013-08-13 10:16:00,13011339CF10A,2013-08-12,,1,F,Pos Cannabis W/Intent Sel/Del,1,13011822CF10A,(M1),0,2013-08-22,Possess Drug Paraphernalia,2013-08-22,2013-09-13,,0,,,,,Risk of Recidivism,9,High,2013-08-13,Risk of Violence,8,High,2013-08-13,2013-08-22,2013-09-13,14,0,9,1,1 +2380,lorena aristizabal,lorena,aristizabal,2013-12-11,Female,1987-06-25,28,25 - 45,Hispanic,0,5,0,0,2,-68,2013-10-04 02:31:01,2013-10-11 10:49:07,13018003MM10A,,2013-10-07,65,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-11,Risk of Violence,4,Low,2013-12-11,2013-10-04,2013-10-11,2,0,842,0,0 +2381,ivan paredes,ivan,paredes,2013-04-16,Male,1968-04-04,48,Greater than 45,Hispanic,0,1,0,0,1,2,2013-04-18 07:59:19,2013-08-22 11:38:00,03006943CF10A,,2012-10-29,169,F,arrest case no charge,1,13005549CF10A,(F3),0,2013-04-18,Destroy Damage Alter Elec Monitor Equip,2013-04-18,2013-08-22,,0,,,,,Risk of Recidivism,1,Low,2013-04-16,Risk of Violence,1,Low,2013-04-16,2013-04-18,2013-08-22,1,0,2,1,1 +2382,levert jackson,levert,jackson,2013-09-16,Male,1957-07-23,58,Greater than 45,African-American,0,6,0,0,24,0,2013-09-16 03:15:20,2013-09-19 09:14:48,13013079CF10A,2013-09-16,,0,F,Felony Petit Theft,1,13043617TC10A,(M2),,2013-10-26,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-09-16,2013-09-19,24,3,40,1,1 +2383,adrian phillips,adrian,phillips,2013-01-03,Male,1987-03-12,29,25 - 45,Other,0,1,0,0,0,-1,2013-01-02 08:04:21,2013-01-03 11:24:59,13000084CF10A,2013-01-02,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-02,2013-01-03,0,0,1184,0,0 +2385,shakera rolle,shakera,rolle,2014-12-14,Female,1995-07-13,20,Less than 25,African-American,0,10,0,3,2,-1,2014-12-13 06:46:56,2015-01-05 09:45:19,14015492CF10A,,2014-12-13,1,F,arrest case no charge,1,15000697MO10A,(MO3),0,2015-01-19,Disorderly Conduct,2015-01-19,2015-01-19,,0,,,,,Risk of Recidivism,10,High,2014-12-14,Risk of Violence,9,High,2014-12-14,2015-01-19,2015-01-19,2,22,36,0,1 +2386,christopher mcewan,christopher,mcewan,2013-03-21,Male,1988-03-03,28,25 - 45,African-American,0,4,0,0,0,0,2013-03-21 02:14:25,2013-03-21 07:15:13,13005564MM10A,2013-03-20,,1,M,Possess Cannabis/20 Grams Or Less,1,13005674MM10A,(M1),0,2013-03-22,Possess Cannabis/20 Grams Or Less,2013-03-22,2013-04-13,,0,,,,,Risk of Recidivism,4,Low,2013-03-21,Risk of Violence,3,Low,2013-03-21,2013-03-22,2013-04-13,0,0,1,1,1 +2387,antwan davis,antwan,davis,2013-05-10,Male,1995-03-16,21,Less than 25,Caucasian,0,8,0,0,0,0,2013-05-10 02:20:24,2013-05-14 05:41:25,13006723CF10A,2013-05-09,,1,F,Grand Theft in the 3rd Degree,1,13013645CF10A,(F2),1,2013-09-28,Robbery / No Weapon,2013-09-29,2013-10-03,,1,13013645CF10A,(F2),2013-09-28,Robbery / No Weapon,Risk of Recidivism,8,High,2013-05-10,Risk of Violence,10,High,2013-05-10,2013-05-10,2013-05-14,0,4,141,1,1 +2388,isnor richardson,isnor,richardson,2013-02-15,Male,1989-11-08,26,25 - 45,Other,0,7,0,0,0,-1,2013-02-14 12:24:49,2013-02-15 07:56:24,13002327CF10A,2013-02-14,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-15,Risk of Violence,5,Medium,2013-02-15,2013-02-14,2013-02-15,0,0,1141,0,0 +2389,stanley lemorin,stanley,lemorin,2013-04-29,Male,1981-09-18,34,25 - 45,African-American,0,1,0,0,3,-4,2013-04-25 12:41:50,2013-04-26 07:20:08,12018748MM10A,,2013-04-25,4,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-25,2013-04-26,3,0,1068,0,0 +2390,antwane mullins,antwane,mullins,2013-05-27,Male,1983-08-30,32,25 - 45,African-American,2,8,0,0,15,-1,2013-05-26 02:00:57,2013-06-02 04:30:37,13007505CF10A,2013-05-26,,1,F,Driving While License Revoked,1,13012901CF10A,(F3),0,2013-09-12,Grand Theft in the 3rd Degree,2013-09-12,2013-09-12,,0,,,,,Risk of Recidivism,8,High,2013-05-27,Risk of Violence,5,Medium,2013-05-27,2013-09-12,2013-09-12,15,6,108,0,1 +2392,terrance jones,terrance,jones,2013-02-24,Male,1977-11-22,38,25 - 45,African-American,0,4,0,1,10,0,2013-02-24 02:36:13,2013-03-06 10:26:40,13002819CF10A,2013-02-23,,1,F,Robbery / Weapon,1,14006552MM10A,(M2),0,2014-04-18,Petit Theft,2014-04-18,2014-04-19,,0,,,,,Risk of Recidivism,4,Low,2013-02-24,Risk of Violence,3,Low,2013-02-24,2014-04-18,2014-04-19,10,10,418,1,1 +2393,ramone hall,ramone,hall,2014-03-21,Male,1993-07-18,22,Less than 25,African-American,0,3,0,0,0,-1,2014-03-20 06:54:43,2014-03-21 08:13:07,14003963CF10A,2014-03-20,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-21,Risk of Violence,5,Medium,2014-03-21,2014-03-20,2014-03-21,0,0,742,0,0 +2394,kevin kalbkauf,kevin,kalbkauf,2013-12-10,Male,1973-12-21,42,25 - 45,Caucasian,0,5,0,0,2,-1,2013-12-09 06:46:33,2013-12-09 09:04:01,13017036CF10A,2013-12-09,,1,F,Possession of Cocaine,1,14005800CF10A,(F3),1,2014-04-26,Possession of Cocaine,2014-04-27,2014-06-05,,0,,,,,Risk of Recidivism,5,Medium,2013-12-10,Risk of Violence,3,Low,2013-12-10,2014-04-27,2014-06-05,2,0,137,1,1 +2396,patricia yates,patricia,yates,2013-05-18,Female,1959-01-12,57,Greater than 45,Caucasian,0,4,0,0,0,-1,2013-05-17 03:48:40,2013-05-18 08:14:16,13009555MM10A,2013-05-17,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-18,Risk of Violence,1,Low,2013-05-18,2013-05-17,2013-05-18,0,0,1049,0,0 +2398,pamela corriveau,pamela,corriveau,2013-06-21,Female,1959-09-21,56,Greater than 45,Caucasian,0,1,0,0,1,-20,2013-06-01 06:55:42,2013-06-02 08:24:40,13007797CF10A,2013-06-01,,20,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-21,Risk of Violence,1,Low,2013-06-21,2013-06-01,2013-06-02,1,0,1015,0,0 +2399,erik gomez,erik,gomez,2013-09-28,Male,1983-08-17,32,25 - 45,Hispanic,0,5,0,0,2,0,2013-09-28 04:33:57,2013-09-29 02:18:38,13018466MM10A,2013-09-28,,0,M,Viol Prot Injunc Repeat Viol,1,14006339CF10A,(F3),1,2014-05-05,Grand Theft Firearm,2014-05-06,2014-05-06,,0,,,,,Risk of Recidivism,5,Medium,2013-09-28,Risk of Violence,2,Low,2013-09-28,2013-09-28,2013-09-29,2,1,219,1,1 +2400,michael mack,michael,mack,2013-05-01,Male,1986-02-02,30,25 - 45,African-American,0,8,2,2,11,-1,2013-04-30 09:54:32,2013-05-01 08:55:25,13006213CF10A,2013-04-30,,1,F,Strong Armed Robbery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-01,Risk of Violence,3,Low,2013-05-01,2013-06-25,2013-06-27,11,0,55,0,0 +2401,jason sucarichi,jason,sucarichi,2014-03-17,Male,1986-08-07,29,25 - 45,African-American,0,1,0,0,2,-1,2014-03-16 09:38:22,2014-03-17 02:19:07,14010461MU10A,2014-03-16,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-16,2014-03-17,2,0,746,0,0 +2402,john moore,john,moore,2013-05-28,Male,1969-06-25,46,Greater than 45,African-American,0,7,0,1,15,-1,2013-05-27 10:42:08,2013-06-03 08:56:07,13007549CF10A,2013-05-27,,1,F,Driving While License Revoked,1,14002332CF10A,(F3),0,2014-02-19,Driving While License Revoked,2014-02-19,2014-04-03,,0,,,,,Risk of Recidivism,7,Medium,2013-05-28,Risk of Violence,1,Low,2013-05-28,2014-02-19,2014-04-03,15,6,267,1,1 +2404,demetrius robinson,demetrius,robinson,2013-10-03,Male,1980-02-03,36,25 - 45,African-American,2,10,0,0,5,-64,2013-07-31 06:00:39,2013-08-02 04:52:28,13010709CF10A,2013-07-31,,64,F,Poss Trifluoromethylphenylpipe,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-03,Risk of Violence,8,High,2013-10-03,2015-02-25,2015-06-24,5,0,510,0,0 +2405,yvelourdes duval,yvelourdes,duval,2014-02-26,Female,1992-04-05,24,Less than 25,African-American,0,3,0,0,0,-1,2014-02-25 09:55:41,2014-02-26 09:35:41,14002656CF10A,2014-02-25,,1,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-26,Risk of Violence,4,Low,2014-02-26,2014-02-25,2014-02-26,0,0,765,0,0 +2406,everley davis,everley,davis,2013-01-28,Female,1946-04-17,70,Greater than 45,African-American,0,1,0,0,1,-1,2013-01-27 07:29:53,2013-01-29 07:21:13,12016368CF10A,,2013-01-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-29,1,1,1159,0,0 +2407,milton calderon,milton,calderon,2014-01-19,Male,1995-04-14,21,Less than 25,Hispanic,0,6,0,0,0,0,2014-01-19 03:10:12,2014-01-19 09:19:21,14000832CF10A,2014-01-19,,0,F,"Poss3,4 Methylenedioxymethcath",1,15013172TC30A,(M2),,2015-02-10,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-19,Risk of Violence,6,Medium,2014-01-19,2014-01-19,2014-01-19,0,0,387,1,1 +2408,paula randazzo,paula,randazzo,2013-01-17,Female,1970-11-09,45,Greater than 45,Caucasian,0,1,0,0,1,-11,2013-01-06 09:52:49,2013-01-07 01:30:27,13000288MM10A,2013-01-06,,11,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-17,Risk of Violence,1,Low,2013-01-17,2013-01-06,2013-01-07,1,0,1170,0,0 +2410,tiffany torres,tiffany,torres,2013-10-21,Female,1982-05-12,33,25 - 45,Hispanic,0,4,0,0,2,-1,2013-10-20 05:05:52,2013-10-22 05:40:12,13019860MM10A,2013-10-20,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-21,Risk of Violence,2,Low,2013-10-21,2013-10-20,2013-10-22,2,1,893,0,0 +2411,tedra roach,tedra,roach,2013-01-19,Female,1976-05-31,39,25 - 45,African-American,0,5,1,0,6,0,2013-01-19 02:54:51,2013-01-20 01:40:51,13000899CF10A,2013-01-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-19,Risk of Violence,2,Low,2013-01-19,2013-01-19,2013-01-20,6,1,1168,0,0 +2412,ahmed gamaa,ahmed,gamaa,2013-05-02,Male,1991-04-17,25,25 - 45,Caucasian,0,4,1,0,6,-16,2013-04-16 09:53:01,2013-04-18 07:30:00,13003961CF10A,,2013-04-16,16,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-02,Risk of Violence,3,Low,2013-05-02,2013-04-16,2013-04-18,6,0,1065,0,0 +2415,carlos allen,carlos,allen,2013-01-31,Male,1968-01-03,48,Greater than 45,Hispanic,0,1,0,0,1,0,2013-01-31 02:01:00,2013-02-01 05:20:16,13002281MM10A,2013-01-30,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-31,Risk of Violence,1,Low,2013-01-31,2013-01-31,2013-02-01,1,1,1156,0,0 +2416,erica ramos,erica,ramos,2014-03-03,Female,1983-07-04,32,25 - 45,Caucasian,0,2,0,0,1,-41,2014-01-21 11:26:51,2014-02-19 09:32:56,14002637MU10A,2014-01-21,,41,M,DUI Level 0.15 Or Minor In Veh,1,16005104TC20A,(M2),,2016-01-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-01-21,2014-02-19,1,0,697,1,1 +2418,arismendy guareno-corona,arismendy,guareno-corona,2013-05-12,Male,1970-02-03,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-11 12:25:37,2013-05-12 07:06:09,13006769CF10A,2013-05-11,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-12,Risk of Violence,1,Low,2013-05-12,2013-05-11,2013-05-12,0,0,1055,0,0 +2420,cody rickard,cody,rickard,2013-01-24,Male,1987-10-20,28,25 - 45,Caucasian,0,2,0,0,0,0,2013-01-24 12:35:09,2013-01-27 08:05:49,13001601MM10A,2013-01-23,,1,M,Battery,1,14001333CF10A,(F3),,2013-06-24,Felony Battery (Dom Strang),,,,1,14001333CF10A,(F3),2013-06-24,Felony Battery (Dom Strang),Risk of Recidivism,2,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-01-24,2013-01-27,0,3,151,1,1 +2421,richard werhle,richard,werhle,2013-03-28,Male,1983-06-24,32,25 - 45,Caucasian,0,2,0,0,1,,,,12016504MM10A,2012-08-11,,229,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,,,1,0,1100,0,0 +2422,william adams,william,adams,2014-01-29,Male,1989-03-25,27,25 - 45,African-American,0,2,0,0,1,-1,2014-01-28 08:05:58,2014-01-29 09:07:24,14001249CF10A,2014-01-28,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-29,Risk of Violence,2,Low,2014-01-29,2014-01-28,2014-01-29,1,0,793,0,0 +2425,joseph stunneck,joseph,stunneck,2013-08-21,Male,1972-07-29,43,25 - 45,Caucasian,0,7,0,0,11,16,2013-09-06 05:24:24,2013-11-22 04:21:07,13000251CF10A,2013-01-06,,227,F,Felony DUI (level 3),1,14015797CF10A,(M1),1,2014-11-23,Resist/Obstruct W/O Violence,2014-11-24,2015-01-28,,1,14015797CF10A,(F3),2014-11-23,Battery on a Person Over 65,Risk of Recidivism,7,Medium,2013-08-21,Risk of Violence,4,Low,2013-08-21,2013-09-06,2013-11-22,11,0,16,0,1 +2426,gregory hughes,gregory,hughes,2013-11-01,Male,1959-11-12,56,Greater than 45,Caucasian,0,5,0,0,5,-38,2013-09-24 01:33:54,2013-10-15 10:35:54,13009710CF10A,,2013-09-24,38,F,arrest case no charge,1,14002113MM10A,(M2),0,2014-02-06,Petit Theft,2014-02-06,2014-02-18,,0,,,,,Risk of Recidivism,5,Medium,2013-11-01,Risk of Violence,2,Low,2013-11-01,2014-02-06,2014-02-18,5,0,97,1,1 +2427,gregory hankerson,gregory,hankerson,2013-05-01,Male,1986-03-07,30,25 - 45,African-American,0,10,0,0,9,0,2013-05-01 03:22:06,2013-06-20 06:27:48,13006250CF10A,2013-05-01,,0,F,Possession of Cocaine,1,14013847CF10A,(F3),0,2014-10-14,Grand Theft in the 3rd Degree,2014-10-14,2014-10-21,,0,,,,,Risk of Recidivism,10,High,2013-05-01,Risk of Violence,7,Medium,2013-05-01,2014-10-14,2014-10-21,9,518,531,1,1 +2428,gregory barnes,gregory,barnes,2013-02-04,Male,1980-07-30,35,25 - 45,African-American,0,9,4,17,12,,,,11001881CF10A,2011-02-01,,734,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-04,Risk of Violence,4,Low,2013-02-04,2003-08-28,2010-07-29,12,0,1152,0,0 +2429,ivan chebaux-mcginty,ivan,chebaux-mcginty,2013-08-21,Male,1986-09-30,29,25 - 45,Caucasian,0,3,0,0,1,-22,2013-07-30 09:15:09,2013-07-31 01:52:59,13010656CF10A,2013-07-30,,22,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-21,Risk of Violence,2,Low,2013-08-21,2014-07-16,2014-09-16,1,0,329,0,0 +2430,bonita welch,bonita,welch,2014-07-20,Male,1961-11-22,54,Greater than 45,African-American,0,1,0,0,8,0,2014-07-20 12:05:31,2014-07-20 09:40:53,14009870CF10A,2014-07-19,,1,F,Possession of Cocaine,1,14014910CF10A,(F3),0,2014-11-06,Possession of Cocaine,2014-11-06,2014-11-19,,0,,,,,Risk of Recidivism,1,Low,2014-07-20,Risk of Violence,1,Low,2014-07-20,2014-11-06,2014-11-19,8,0,109,1,1 +2431,melissa dowds,melissa,dowds,2013-11-23,Female,1995-06-25,20,Less than 25,Caucasian,0,4,0,0,0,0,2013-11-23 05:18:46,2013-11-23 09:23:39,13016306CF10A,2013-11-23,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-23,Risk of Violence,6,Medium,2013-11-23,2013-11-23,2013-11-23,0,0,860,0,0 +2432,zebedee taylor,zebedee,taylor,2013-12-18,Male,1986-11-12,29,25 - 45,African-American,0,1,0,0,0,-1,2013-12-17 09:14:03,2013-12-18 01:06:10,13017424CF10A,2013-12-17,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-18,Risk of Violence,2,Low,2013-12-18,2013-12-17,2013-12-18,0,0,835,0,0 +2437,nickenson metelus,nickenson,metelus,2014-01-10,Male,1987-12-02,28,25 - 45,Other,0,2,0,0,3,,,,13006130CF10A,,2013-05-06,249,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-10,Risk of Violence,3,Low,2014-01-10,,,3,0,812,0,0 +2438,charles tientn,charles,tientn,2013-08-20,Male,1948-10-07,67,Greater than 45,Asian,0,1,0,0,0,-1,2013-08-19 09:39:32,2013-08-20 01:59:18,13015742MM10A,2013-08-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-20,0,0,955,0,0 +2439,michelle hall,michelle,hall,2013-02-03,Female,1970-02-22,46,Greater than 45,African-American,0,5,0,0,1,,,,10024514TC40A,2010-03-30,,1041,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-03,Risk of Violence,1,Low,2013-02-03,,,1,0,1153,0,0 +2441,christopher lokai,christopher,lokai,2013-08-13,Male,1990-12-01,25,25 - 45,Other,0,2,0,0,0,-1,2013-08-12 10:12:43,2013-08-13 08:19:01,13011338CF10A,2013-08-12,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-13,Risk of Violence,3,Low,2013-08-13,2013-08-12,2013-08-13,0,0,962,0,0 +2442,willie ryan,willie,ryan,2013-05-16,Male,1991-10-04,24,Less than 25,African-American,0,9,2,1,8,-1,2013-05-15 06:50:18,2013-05-16 04:10:04,13006935CF10A,,2013-05-15,1,F,arrest case no charge,1,14035115TC20A,(M2),20,2014-05-15,Operating W/O Valid License,2014-06-04,2014-06-21,,1,14008503CF10A,(F2),2014-06-19,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-05-16,Risk of Violence,9,High,2013-05-16,2014-11-18,2015-02-07,8,0,364,1,1 +2443,joel cadet,joel,cadet,2013-05-11,Male,1987-03-23,29,25 - 45,Other,0,6,0,0,3,-1,2013-05-10 05:06:24,2013-11-04 03:54:40,13006740CF10A,2013-05-10,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-11,Risk of Violence,2,Low,2013-05-11,2013-05-10,2013-11-04,3,177,1056,0,0 +2444,brian williams,brian,williams,2013-02-02,Male,1970-04-21,45,Greater than 45,African-American,0,6,0,0,2,-1,2013-02-01 10:14:11,2013-03-02 04:50:50,12001097MO40A,2012-02-23,,345,M,Carry Open/Uncov Bev In Pub,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-02,Risk of Violence,2,Low,2013-02-02,2013-02-01,2013-03-02,2,28,1154,0,0 +2445,dudley ambroise,dudley,ambroise,2013-01-19,Male,1984-09-20,31,25 - 45,African-American,0,5,0,0,5,-1,2013-01-18 09:23:08,2013-01-29 10:28:30,13000872CF10A,,2013-01-18,1,F,arrest case no charge,1,15013199MM10A,(M2),,2015-12-22,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-19,Risk of Violence,2,Low,2013-01-19,2014-04-14,2014-04-17,5,10,450,0,1 +2446,zachary chernin,zachary,chernin,2014-06-12,Male,1992-09-13,23,Less than 25,Caucasian,0,3,0,0,0,-1,2014-06-11 09:35:23,2014-06-19 05:16:19,14008112CF10A,2014-06-11,,1,F,Aggravated Assault W/Dead Weap,1,14017148MM10A,(M1),0,2014-12-04,Viol Injunct Domestic Violence,2014-12-04,2015-01-09,,0,,,,,Risk of Recidivism,3,Low,2014-06-12,Risk of Violence,4,Low,2014-06-12,2014-12-04,2015-01-09,0,7,175,1,1 +2448,donald jorden,donald,jorden,2014-02-14,Male,1995-03-20,21,Less than 25,African-American,0,8,0,0,0,-1,2014-02-13 05:07:42,2014-02-22 03:58:11,14002080CF10A,2014-02-13,,1,F,Grand Theft in the 3rd Degree,1,14004954CF10A,(M1),0,2014-04-09,Resist/Obstruct W/O Violence,2014-04-09,2014-04-28,,0,,,,,Risk of Recidivism,8,High,2014-02-14,Risk of Violence,9,High,2014-02-14,2014-03-18,2014-04-05,0,8,32,0,1 +2451,david manning,david,manning,2014-02-05,Male,1955-03-01,61,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-04 08:06:57,2014-02-05 01:12:10,14004521MU10A,2014-02-04,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-05,Risk of Violence,1,Low,2014-02-05,2014-02-04,2014-02-05,0,0,786,0,0 +2453,phylis ettinger,phylis,ettinger,2013-11-30,Female,1964-11-21,51,Greater than 45,Caucasian,0,7,0,0,5,-1,2013-11-29 12:24:59,2013-12-20 06:40:40,13022316MM10A,2013-11-29,,1,M,Battery,1,15010081CF10A,(F3),0,2015-08-05,Felony Committing Prostitution,2015-08-05,2015-10-22,,0,,,,,Risk of Recidivism,7,Medium,2013-11-30,Risk of Violence,1,Low,2013-11-30,2015-08-05,2015-10-22,5,20,613,1,1 +2454,jermane fearon,jermane,fearon,2013-06-14,Male,1984-02-13,32,25 - 45,Other,0,1,0,0,1,-15,2013-05-30 04:25:33,2013-06-14 11:57:29,13007725CF10A,2013-05-30,,15,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-14,Risk of Violence,1,Low,2013-06-14,2013-05-30,2013-06-14,1,0,1022,0,0 +2456,david odak,david,odak,2013-02-21,Male,1972-07-08,43,25 - 45,Caucasian,0,6,0,0,9,-2,2013-02-19 09:10:57,2013-02-20 06:59:39,13002527CF10A,2013-02-19,,2,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-19,2013-02-20,9,0,1135,0,0 +2457,bryan scott,bryan,scott,2014-01-25,Male,1983-09-01,32,25 - 45,Other,0,1,0,0,0,-1,2014-01-24 01:37:33,2014-01-25 08:23:35,14001389MM10A,2014-01-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2014-01-24,2014-01-25,0,0,797,0,0 +2459,rich omoruyi,rich,omoruyi,2014-02-12,Male,1979-11-10,36,25 - 45,African-American,0,5,0,0,0,-1,2014-02-11 12:51:04,2014-02-12 08:49:49,14001958CF10A,2014-02-11,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-02-11,2014-02-12,0,0,779,0,0 +2460,michael vause,michael,vause,2013-09-26,Male,1957-11-08,58,Greater than 45,Caucasian,0,4,0,0,3,0,2013-09-26 03:32:21,2013-10-11 09:41:23,13013566CF10A,2013-09-26,,0,F,Felony Petit Theft,1,14004251CF10A,(F3),0,2014-03-25,Felony Petit Theft,2014-03-25,2014-07-22,,0,,,,,Risk of Recidivism,4,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2014-02-09,2014-02-14,3,15,136,0,1 +2462,lewis dufreme,lewis,dufreme,2013-04-16,Male,1984-02-10,32,25 - 45,African-American,0,2,0,0,1,,,,10024535MM10A,2010-11-13,,885,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-16,Risk of Violence,6,Medium,2013-04-16,,,1,0,1081,0,0 +2464,ronald shelton,ronald,shelton,2013-05-29,Male,1958-06-02,57,Greater than 45,African-American,0,9,0,0,12,-1,2013-05-28 08:29:39,2013-07-18 03:49:07,13007619CF10A,2013-05-28,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-29,Risk of Violence,6,Medium,2013-05-29,2013-05-28,2013-07-18,12,50,1038,0,0 +2465,marques medders,marques,medders,2013-01-14,Male,1978-11-17,37,25 - 45,African-American,0,7,0,0,2,0,2013-01-14 04:05:27,2013-01-14 08:46:06,13000635CF10A,2013-01-14,,0,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-14,Risk of Violence,6,Medium,2013-01-14,2013-01-14,2013-01-14,2,0,1173,0,0 +2467,stacy coley,stacy,coley,2013-10-23,Male,1971-10-03,44,25 - 45,African-American,0,6,0,0,6,-1,2013-10-22 04:50:30,2013-10-24 03:57:27,13014755CF10A,,2013-10-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-23,Risk of Violence,2,Low,2013-10-23,2013-10-22,2013-10-24,6,1,891,0,0 +2470,kennedy stevens,kennedy,stevens,2013-01-24,Male,1965-03-09,51,Greater than 45,African-American,0,2,0,0,8,,,,11019376CF10A,,2011-11-04,447,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,,,8,0,1163,0,0 +2471,jesus regueiro,jesus,regueiro,2013-04-15,Male,1970-09-14,45,Greater than 45,Hispanic,0,6,0,0,4,,,,12017200CF10A,2012-11-26,,140,F,Agg Assault Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-15,Risk of Violence,4,Low,2013-04-15,1999-12-03,2005-01-25,4,0,1082,0,0 +2472,william baumgartner,william,baumgartner,2013-09-24,Male,1987-07-27,28,25 - 45,Caucasian,0,8,0,2,9,112,2014-01-14 05:32:52,2014-05-11 04:56:33,12024497MM10A,2012-12-01,,297,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-24,Risk of Violence,6,Medium,2013-09-24,2014-01-14,2014-05-11,9,0,112,0,0 +2474,stevie johnson,stevie,johnson,2013-05-04,Male,1970-07-31,45,Greater than 45,African-American,0,7,0,0,8,-1,2013-05-03 07:04:28,2013-05-04 01:16:42,11009021CF10A,,2013-05-04,0,F,arrest case no charge,1,13039021TC10A,(M2),,2013-09-20,Driving License Suspended,,,,1,13017860CF10A,(M1),2013-12-27,Aggravated Battery / Pregnant,Risk of Recidivism,7,Medium,2013-05-04,Risk of Violence,4,Low,2013-05-04,2016-03-24,2020-01-01,8,0,139,1,1 +2475,norman willis,norman,willis,2013-03-29,Male,1967-11-27,48,Greater than 45,Other,0,1,0,0,1,-1,2013-03-28 08:32:43,2013-03-30 09:14:35,13004140CF10A,,2013-03-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-29,Risk of Violence,1,Low,2013-03-29,2013-03-28,2013-03-30,1,1,1099,0,0 +2476,jamal riley,jamal,riley,2013-08-30,Male,1990-03-21,26,25 - 45,African-American,0,8,1,1,13,0,2013-08-30 12:08:40,2013-08-30 08:05:57,13012243CF10A,2013-08-29,,1,F,Driving While License Revoked,1,14003658MM10A,(M1),0,2014-03-03,Resist/Obstruct W/O Violence,2014-03-03,2014-03-04,,0,,,,,Risk of Recidivism,8,High,2013-08-30,Risk of Violence,4,Low,2013-08-30,2013-10-03,2013-10-07,13,0,34,0,1 +2477,william lamkin,william,lamkin,2014-04-26,Male,1981-06-30,34,25 - 45,Caucasian,1,6,0,0,9,-1,2014-04-25 03:08:53,2014-04-26 07:58:38,14005799CF10A,2014-04-25,,1,F,Agg Assault W/int Com Fel Dome,1,15054002TC40A,(M2),,2015-09-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2014-04-26,Risk of Violence,5,Medium,2014-04-26,2014-04-25,2014-04-26,9,0,498,1,1 +2478,christopher fernando,christopher,fernando,2013-03-17,Male,1990-06-27,25,25 - 45,African-American,0,3,0,0,0,-1,2013-03-16 04:30:03,2013-03-18 03:05:32,13003861CF10A,2013-03-16,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-17,Risk of Violence,4,Low,2013-03-17,2013-03-16,2013-03-18,0,1,1111,0,0 +2479,michael bacon,michael,bacon,2013-02-18,Male,1984-05-02,31,25 - 45,African-American,0,7,0,0,8,-1,2013-02-17 12:26:34,2013-02-18 09:10:16,13003429MM10A,2013-02-17,,1,M,Battery,1,13010490CF10A,(F3),0,2013-07-26,"Poss3,4 Methylenedioxymethcath",2013-07-26,2013-07-27,,0,,,,,Risk of Recidivism,7,Medium,2013-02-18,Risk of Violence,4,Low,2013-02-18,2013-07-26,2013-07-27,8,0,158,1,1 +2480,robert mcpherson,robert,mcpherson,2013-09-30,Male,1973-04-13,43,25 - 45,African-American,0,1,0,0,1,-1,2013-09-29 03:52:01,2013-09-30 08:01:14,08023370CF10A,,2013-09-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,1,0,914,0,0 +2482,gary dyer,gary,dyer,2014-03-10,Male,1985-06-10,30,25 - 45,African-American,0,1,0,0,0,0,2014-03-10 03:07:16,2014-03-10 09:40:37,14004143MM10A,2014-03-10,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-10,Risk of Violence,1,Low,2014-03-10,2014-03-10,2014-03-10,0,0,753,0,0 +2484,alexander salow,alexander,salow,2013-09-23,Male,1965-10-09,50,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-09-21 08:09:22,2013-09-22 06:17:33,13018028MM10A,2013-09-21,,2,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-21,2013-09-22,0,0,921,0,0 +2485,angelika hawkins,angelika,hawkins,2013-10-08,Female,1984-06-03,31,25 - 45,African-American,0,2,0,0,2,-1,2013-10-07 05:44:38,2013-10-08 09:17:55,13014074CF10A,2013-10-07,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-08,Risk of Violence,2,Low,2013-10-08,2015-04-16,2015-04-21,2,0,555,0,0 +2486,lori koons,lori,koons,2013-11-08,Female,1982-09-18,33,25 - 45,Caucasian,0,6,0,0,7,-6,2013-11-02 07:20:05,2013-11-03 01:50:08,13020679MM10A,2013-11-02,,6,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-08,Risk of Violence,2,Low,2013-11-08,2013-11-02,2013-11-03,7,0,875,0,0 +2487,jermaine bowens,jermaine,bowens,2013-11-07,Male,1984-04-02,32,25 - 45,African-American,0,5,0,0,1,-1,2013-11-06 10:29:11,2013-11-26 06:16:00,13015485CF10A,2013-11-06,,1,F,False Ownership Info/Pawn Item,1,14017075CF10A,(F1),0,2014-12-27,Tampering with a Victim,2014-12-27,2015-02-02,,1,14017075CF10A,(F3),2014-12-27,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2013-11-07,Risk of Violence,5,Medium,2013-11-07,2014-12-27,2015-02-02,1,19,415,1,1 +2488,regina ferguson,regina,ferguson,2013-12-05,Female,1970-01-22,46,Greater than 45,Caucasian,0,1,0,0,0,0,2013-12-05 03:01:54,2013-12-07 04:37:01,13022569MM10A,2013-12-04,,1,M,Battery,1,14009996MM10A,(M1),1,2014-06-26,Viol Pretrial Release Dom Viol,2014-06-27,2014-07-16,,0,,,,,Risk of Recidivism,1,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2013-12-05,2013-12-07,0,2,203,1,1 +2489,gerald ocasio,gerald,ocasio,2013-03-28,Male,1993-12-21,22,Less than 25,Hispanic,0,6,0,0,0,-1,2013-03-27 07:30:55,2013-03-28 08:32:07,13004437CF10A,2013-03-27,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-28,Risk of Violence,7,Medium,2013-03-28,2015-04-22,2015-05-07,0,0,755,0,0 +2490,neal davis,neal,davis,2014-05-29,Male,1978-07-24,37,25 - 45,African-American,0,5,0,0,8,-1,2014-05-28 06:27:10,2014-05-29 09:05:23,14007426CF10A,2014-05-28,,1,F,Felony Driving While Lic Suspd,1,14080267TC30A,(M1),,2014-09-24,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,5,Medium,2014-05-29,Risk of Violence,1,Low,2014-05-29,2014-05-28,2014-05-29,8,0,118,1,1 +2493,lisa flowers,lisa,flowers,2014-03-14,Female,1983-10-21,32,25 - 45,Caucasian,0,6,0,0,6,-1,2014-03-13 05:35:34,2014-03-21 07:43:44,14003591CF10A,,2014-03-13,1,F,arrest case no charge,1,14006029MM10A,(M2),0,2014-04-09,Petit Theft,2014-04-09,2014-04-29,,0,,,,,Risk of Recidivism,6,Medium,2014-03-14,Risk of Violence,2,Low,2014-03-14,2014-04-09,2014-04-29,6,7,26,1,1 +2494,miesha daniel,miesha,daniel,2013-12-24,Female,1993-02-12,23,Less than 25,African-American,0,7,0,0,2,-1,2013-12-23 08:26:11,2013-12-24 12:52:29,13017682CF10A,2013-12-23,,1,F,Grand Theft in the 3rd Degree,1,14002156CF10A,(F3),0,2014-02-15,Grand Theft in the 3rd Degree,2014-02-15,2014-02-16,,0,,,,,Risk of Recidivism,7,Medium,2013-12-24,Risk of Violence,5,Medium,2013-12-24,2014-02-15,2014-02-16,2,0,53,1,1 +2495,kyle rivera,kyle,rivera,2013-03-01,Male,1994-12-12,21,Less than 25,Caucasian,0,5,0,0,0,0,2013-03-01 12:01:48,2013-03-01 01:51:31,13003032CF10A,2013-02-28,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-01,Risk of Violence,7,Medium,2013-03-01,2013-03-01,2013-03-01,0,0,1127,0,0 +2496,matthew daley,matthew,daley,2013-01-22,Male,1993-07-05,22,Less than 25,Other,0,9,0,0,1,,,,12005333CF10A,2012-04-10,,287,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-22,Risk of Violence,8,High,2013-01-22,,,1,0,1165,0,0 +2497,jean phanord,jean,phanord,2013-10-18,Male,1963-08-03,52,Greater than 45,Other,0,1,0,0,2,-1,2013-10-17 07:46:29,2013-10-18 07:52:25,13014545CF10A,,2013-10-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-18,Risk of Violence,1,Low,2013-10-18,2014-01-08,2014-01-15,2,0,82,0,0 +2498,william sternal,william,sternal,2013-09-29,Male,1966-07-01,49,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-09-28 06:28:33,2013-09-29 07:31:01,13018477MM10A,2013-09-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-29,Risk of Violence,1,Low,2013-09-29,2013-09-28,2013-09-29,2,0,915,0,0 +2499,terry mccormick,terry,mccormick,2013-01-04,Male,1960-04-26,55,Greater than 45,Caucasian,0,7,0,0,3,-1,2013-01-03 05:45:57,2013-02-08 06:03:58,13000124CF10A,2013-01-03,,1,F,Possession of Cocaine,1,13002859CF10A,(F3),1,2013-02-25,Grand Theft in the 3rd Degree,2013-02-26,2013-07-17,,0,,,,,Risk of Recidivism,7,Medium,2013-01-04,Risk of Violence,2,Low,2013-01-04,2013-01-03,2013-02-08,3,35,52,1,1 +2501,devonte farley,devonte,farley,2013-08-28,Male,1993-09-11,22,Less than 25,African-American,0,2,0,0,0,-1,2013-08-27 05:03:28,2013-08-28 07:45:25,13012088CF10A,2013-08-27,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-28,Risk of Violence,4,Low,2013-08-28,2013-08-27,2013-08-28,0,0,947,0,0 +2502,fernando moreno,fernando,moreno,2013-04-19,Male,1971-04-07,45,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-04-18 04:57:29,2013-05-01 09:03:25,13005572CF10A,2013-04-18,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-05-01,0,12,1078,0,0 +2503,atavia grant,atavia,grant,2014-01-05,Female,1984-07-06,31,25 - 45,African-American,0,5,0,0,7,-1,2014-01-04 08:03:10,2014-01-05 09:50:08,14000174CF10A,2014-01-04,,1,F,Felony Driving While Lic Suspd,1,14034426TC10A,(M2),0,2014-08-14,Operating W/O Valid License,2014-08-14,2014-08-15,,0,,,,,Risk of Recidivism,5,Medium,2014-01-05,Risk of Violence,2,Low,2014-01-05,2014-08-14,2014-08-15,7,0,221,1,1 +2504,elijah severns,elijah,severns,2014-02-13,Male,1993-07-10,22,Less than 25,Caucasian,0,2,0,1,0,-1,2014-02-12 08:06:06,2014-02-13 08:29:56,14002015CF10A,2014-02-12,,1,M,Petit Theft,1,14005322MM10A,(M1),0,2014-03-27,Resist/Obstruct W/O Violence,2014-03-27,2014-03-29,,0,,,,,Risk of Recidivism,2,Low,2014-02-13,Risk of Violence,4,Low,2014-02-13,2014-03-27,2014-03-29,0,0,42,1,1 +2507,berman stfleur,berman,stfleur,2013-03-17,Male,1988-02-24,28,25 - 45,African-American,0,6,0,0,5,-1,2013-03-16 04:56:02,2013-03-17 08:00:45,13005170MM10A,2013-03-16,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-17,Risk of Violence,2,Low,2013-03-17,2013-03-16,2013-03-17,5,0,1111,0,0 +2509,luben augustin,luben,augustin,2013-10-31,Male,1994-11-24,21,Less than 25,African-American,0,5,0,0,1,-1,2013-10-30 04:56:29,2013-11-10 09:03:31,13015144CF10A,2013-10-30,,1,F,Grand Theft in the 3rd Degree,1,14000335MM10A,(M2),99,2013-11-04,Disorderly Conduct,2014-02-11,2014-03-16,,1,14000335MM10A,(M1),2013-11-04,Battery,Risk of Recidivism,5,Medium,2013-10-31,Risk of Violence,8,High,2013-10-31,2013-10-30,2013-11-10,1,0,4,1,1 +2511,julian ruiz,julian,ruiz,2014-02-11,Male,1979-03-21,37,25 - 45,Hispanic,0,3,0,1,2,-1,2014-02-10 05:10:21,2014-02-11 08:51:53,14002287MM10A,2014-02-10,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-11,Risk of Violence,3,Low,2014-02-11,2014-02-10,2014-02-11,2,0,780,0,0 +2512,demarquize dawson,demarquize,dawson,2013-02-20,Male,1985-11-14,30,25 - 45,African-American,0,7,2,0,21,-1,2013-02-19 03:27:39,2013-02-20 09:04:21,12013696CF10A,,2013-02-19,1,F,arrest case no charge,1,13006158CF10A,(F3),0,2013-04-18,Driving While License Revoked,2013-04-18,2013-04-18,,0,,,,,Risk of Recidivism,7,Medium,2013-02-20,Risk of Violence,3,Low,2013-02-20,2013-04-18,2013-04-18,21,0,57,0,1 +2513,danny alford,danny,alford,2013-10-09,Male,1994-01-24,22,Less than 25,African-American,0,10,0,1,13,-1,2013-10-08 11:48:59,2013-10-09 09:59:21,14001341CF10A,2013-10-08,,1,F,Poss Cntrft Contr Sub w/Intent,1,14007896TC10A,(M2),,2013-10-13,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-10-09,Risk of Violence,9,High,2013-10-09,2014-07-29,2015-03-25,13,0,4,1,1 +2514,tommy johnson,tommy,johnson,2014-10-23,Male,1980-11-08,35,25 - 45,African-American,0,9,1,0,23,-1,2014-10-22 09:03:28,2014-10-23 10:13:52,14014228CF10A,2014-10-22,,1,F,Poss Pyrrolidinovalerophenone,1,15008169CF10A,(F3),0,2015-06-24,Poss Pyrrolidinovalerophenone,2015-06-24,2015-08-20,,0,,,,,Risk of Recidivism,9,High,2014-10-23,Risk of Violence,6,Medium,2014-10-23,2015-06-24,2015-08-20,23,0,244,1,1 +2515,steven thompson,steven,thompson,2013-11-02,Male,1987-06-13,28,25 - 45,African-American,2,10,1,0,11,-1,2013-11-01 07:35:10,2013-11-27 07:48:37,13015262CF10A,2013-11-01,,1,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-11-02,Risk of Violence,5,Medium,2013-11-02,2013-11-01,2013-11-27,11,25,881,0,0 +2516,sha-de williams,sha-de,williams,2013-01-16,Male,1992-02-24,24,Less than 25,African-American,0,3,0,0,1,-1,2013-01-15 06:16:11,2013-01-16 08:39:11,13000683CF10A,2013-01-15,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-16,Risk of Violence,6,Medium,2013-01-16,2013-01-15,2013-01-16,1,0,1171,0,0 +2517,joel jasmin,joel,jasmin,2013-09-24,Male,1972-02-02,44,25 - 45,African-American,0,3,0,0,9,73,2013-12-06 12:47:03,2014-02-10 10:51:40,09020924CF10A,,2013-05-15,132,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-24,Risk of Violence,1,Low,2013-09-24,2013-12-06,2014-02-10,9,0,73,0,0 +2518,jamie rodriguez,jamie,rodriguez,2014-03-18,Male,1990-07-04,25,25 - 45,Hispanic,0,8,0,4,5,,,,10020252CF10A,,2010-11-11,1223,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-18,Risk of Violence,7,Medium,2014-03-18,,,5,0,745,0,0 +2519,ronnie thomas,ronnie,thomas,2014-11-15,Male,1983-05-20,32,25 - 45,African-American,1,7,3,0,24,-1,2014-11-14 10:48:40,2014-11-17 08:11:13,14015405CF10A,2014-11-14,,1,F,Driving While License Revoked,1,15008613CF10A,(F3),0,2015-07-05,Felony Battery (Dom Strang),2015-07-05,2015-09-22,,1,15008613CF10A,(F3),2015-07-05,Felony Battery (Dom Strang),Risk of Recidivism,7,Medium,2014-11-15,Risk of Violence,6,Medium,2014-11-15,2015-07-05,2015-09-22,24,2,232,1,1 +2520,ahmad bowleg,ahmad,bowleg,2013-01-31,Male,1987-03-25,29,25 - 45,African-American,0,3,0,0,5,35,2013-03-07 12:17:26,2013-03-21 09:30:39,12017860CF10A,2012-12-07,,55,F,Att Burgl Unoccupied Dwel,1,13008638MM10A,(M1),0,2013-05-04,Possess Cannabis/20 Grams Or Less,2013-05-04,2013-05-14,,0,,,,,Risk of Recidivism,3,Low,2013-01-31,Risk of Violence,3,Low,2013-01-31,2013-03-07,2013-03-21,5,0,35,0,1 +2521,dyneisha smith,dyneisha,smith,2013-11-15,Female,1992-01-18,24,Less than 25,African-American,0,5,0,0,1,-1,2013-11-14 09:08:19,2013-11-15 02:04:30,13015864CF10A,2013-11-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-15,Risk of Violence,4,Low,2013-11-15,2016-03-28,2016-03-29,1,0,864,0,0 +2523,james thompson,james,thompson,2014-03-22,Male,1958-11-17,57,Greater than 45,African-American,0,3,0,0,19,-1,2014-03-21 06:27:23,2014-03-22 08:09:32,14004043CF10A,2014-03-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-22,19,0,741,0,0 +2524,mikhail grant,mikhail,grant,2013-05-14,Male,1995-02-11,21,Less than 25,Other,0,6,0,0,0,-1,2013-05-13 06:53:22,2013-05-14 06:24:49,13009253MM10A,2013-05-13,,1,M,Prowling/Loitering,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-14,Risk of Violence,7,Medium,2013-05-14,2013-05-13,2013-05-14,0,0,1053,0,0 +2525,nicolas latorre-galan,nicolas,latorre-galan,2013-04-24,Male,1988-03-08,28,25 - 45,Caucasian,0,2,0,0,0,0,2013-04-24 12:33:13,2013-04-24 08:20:16,13005803CF10A,2013-04-23,,1,F,Counterfeit Lic Plates/Sticker,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-24,Risk of Violence,2,Low,2013-04-24,2013-12-05,2013-12-05,0,0,225,0,0 +2526,mark vitale,mark,vitale,2013-03-20,Male,1964-12-06,51,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-20 12:24:11,2013-06-20 09:35:19,13005436MM10A,2013-03-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-20,2013-06-20,0,92,1108,0,0 +2527,antjuan herring,antjuan,herring,2013-09-04,Male,1981-10-12,34,25 - 45,African-American,0,9,0,0,6,205,2014-03-28 12:07:52,2014-10-31 05:30:33,04017276CF10A,2004-10-23,,3238,F,Possession of Cocaine,1,14004341CF10A,(M1),1,2014-03-27,Unlaw Use False Name/Identity,2014-03-28,2014-10-31,,0,,,,,Risk of Recidivism,9,High,2013-09-04,Risk of Violence,3,Low,2013-09-04,2015-09-29,2020-01-01,6,0,204,1,1 +2529,fuquan brewer,fuquan,brewer,2013-01-23,Male,1989-04-20,26,25 - 45,African-American,0,2,0,0,0,-1,2013-01-22 12:09:59,2013-01-23 01:38:58,13001524MM10A,2013-01-22,,1,M,Unlaw LicTag/Sticker Attach,1,14100610TC30A,(M2),,2014-11-16,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-23,Risk of Violence,2,Low,2013-01-23,2013-01-22,2013-01-23,0,0,662,1,1 +2530,matthew brown,matthew,brown,2014-04-17,Male,1995-11-01,20,Less than 25,African-American,0,6,0,3,0,-1,2014-04-16 06:07:43,2014-04-17 09:03:30,14005343CF10A,2014-04-16,,1,F,Possession of Butylone,1,16001580CF10A,(M1),1,2016-02-05,Resist/Obstruct W/O Violence,2016-02-06,2016-02-06,,0,,,,,Risk of Recidivism,6,Medium,2014-04-17,Risk of Violence,8,High,2014-04-17,2016-02-06,2016-02-06,0,0,659,1,1 +2532,tyrone santos,tyrone,santos,2013-08-17,Male,1990-07-12,25,25 - 45,African-American,0,7,1,0,6,-1,2013-08-16 10:52:42,2013-09-18 05:34:14,13012752MO10A,,2013-08-17,0,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-17,Risk of Violence,5,Medium,2013-08-17,2013-08-16,2013-09-18,6,32,958,0,0 +2533,ariel fallacaro,ariel,fallacaro,2014-07-04,Male,1996-06-17,19,Less than 25,Caucasian,0,6,0,0,0,-1,2014-07-03 09:58:44,2014-07-06 04:26:19,14010278MM10A,2014-07-03,,1,M,Battery,1,15005806MM10A,(M1),0,2015-05-27,Battery,2015-05-27,2015-06-01,,1,15005806MM10A,(M1),2015-05-27,Battery,Risk of Recidivism,6,Medium,2014-07-04,Risk of Violence,9,High,2014-07-04,2015-05-27,2015-06-01,0,2,327,1,1 +2534,james lowry,james,lowry,2013-12-10,Male,1967-02-23,49,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-09 10:09:26,2013-12-30 08:32:36,13017018CF10A,,2013-12-09,1,F,arrest case no charge,1,14013947CF10A,(F3),0,2014-10-16,Grand Theft in the 3rd Degree,2014-10-16,2015-03-21,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2014-10-16,2015-03-21,1,20,310,1,1 +2536,jewel johnson,jewel,johnson,2014-01-08,Male,1959-04-08,57,Greater than 45,African-American,0,10,0,0,27,-9,2013-12-30 09:12:41,2014-01-08 10:44:51,13015205MM10A,,2013-12-30,9,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-08,Risk of Violence,9,High,2014-01-08,2013-12-30,2014-01-08,27,0,814,0,0 +2537,jasmine young,jasmine,young,2013-04-08,Female,1988-10-17,27,25 - 45,African-American,0,2,0,0,0,0,2013-04-08 04:39:41,2013-04-09 02:11:14,13006767MM10A,2013-04-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-04-08,2013-04-09,0,1,1089,0,0 +2538,walter meixner,walter,meixner,2013-01-13,Male,1950-02-18,66,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-12 02:09:03,2013-01-31 09:56:14,00022077MM10A,,2013-01-12,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-31,1,18,1174,0,0 +2539,jamia dixon,jamia,dixon,2014-02-24,Female,1990-10-16,25,25 - 45,African-American,0,7,0,0,4,-46,2014-01-09 01:09:58,2014-01-25 03:15:07,12002493MM20A,,2014-01-09,46,M,arrest case no charge,1,15004321MM10A,(M1),,2014-12-22,Criminal Mischief>$200<$1000,,,,1,15008191CF10A,(F3),2015-03-10,Stalking (Aggravated),Risk of Recidivism,7,Medium,2014-02-24,Risk of Violence,3,Low,2014-02-24,2015-10-20,2015-12-19,4,0,301,1,1 +2540,jeramey wilkerson,jeramey,wilkerson,2013-01-26,Male,1995-01-04,21,Less than 25,Caucasian,0,3,0,0,0,0,2013-01-26 04:26:50,2013-01-26 07:17:27,13001296CF10A,,2013-01-26,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-26,Risk of Violence,6,Medium,2013-01-26,2013-01-26,2013-01-26,0,0,1161,0,0 +2541,shane bohannon,shane,bohannon,2013-03-11,Male,1970-07-04,45,Greater than 45,Caucasian,0,2,0,0,1,0,2013-03-11 12:31:05,2013-03-11 01:32:29,13003523CF10A,2013-03-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-03-11,2013-03-11,1,0,1117,0,0 +2542,kevin mouzon,kevin,mouzon,2013-10-21,Male,1977-04-22,38,25 - 45,African-American,0,6,0,0,6,-205,2013-03-30 11:14:51,2013-10-19 02:01:56,13004567CF10A,2013-03-30,,205,F,Aggravated Assault,1,14018115MM10A,(M2),0,2014-12-28,Criminal Mischief,2014-12-28,2015-01-06,,1,16001032CF10A,(F3),2016-01-26,Threat Public Servant,Risk of Recidivism,6,Medium,2013-10-21,Risk of Violence,7,Medium,2013-10-21,2014-09-07,2014-09-10,6,0,321,0,1 +2543,jermaine hall,jermaine,hall,2013-01-21,Male,1979-03-13,37,25 - 45,African-American,2,8,3,0,24,-1,2013-01-20 03:28:03,2013-02-09 02:24:01,13000929CF10A,2013-01-20,,1,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-21,Risk of Violence,4,Low,2013-01-21,2013-01-20,2013-02-09,24,19,1166,0,0 +2544,jesse lebrecht,jesse,lebrecht,2014-11-22,Male,1971-12-08,44,25 - 45,Caucasian,0,9,0,0,13,0,2014-11-22 12:35:34,2014-12-09 09:51:06,14015688CF10A,2014-11-21,,1,F,Crimin Mischief Damage $1000+,1,14018210MM10A,(M2),0,2014-12-30,Disorderly Conduct,2014-12-30,2014-12-31,,0,,,,,Risk of Recidivism,9,High,2014-11-22,Risk of Violence,8,High,2014-11-22,2014-12-30,2014-12-31,13,17,38,1,1 +2546,eugene hanon,eugene,hanon,2013-08-17,Male,1951-12-14,64,Greater than 45,African-American,0,4,0,0,0,-1,2013-08-16 07:03:11,2013-08-20 07:40:15,13011518CF10A,2013-08-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-17,Risk of Violence,1,Low,2013-08-17,2013-08-16,2013-08-20,0,3,958,0,0 +2548,tony mcneil,tony,mcneil,2013-02-08,Male,1985-11-07,30,25 - 45,African-American,0,6,0,0,1,-1,2013-02-07 03:51:09,2013-02-08 02:09:27,13001914CF10A,2013-02-07,,1,F,Deliver Cocaine,1,13008049MM10A,(M1),0,2013-04-01,Reckless Display Of Weapon,2013-04-01,2013-04-01,,1,13004666CF10A,(F2),2013-04-01,Agg Assault Law Enforc Officer,Risk of Recidivism,6,Medium,2013-02-08,Risk of Violence,4,Low,2013-02-08,2013-04-01,2013-04-01,1,0,52,0,1 +2549,manuel mena,manuel,mena,2013-08-14,Male,1954-10-24,61,Greater than 45,African-American,0,1,0,0,1,-1,2013-08-13 03:15:42,2013-08-15 04:26:06,13008322MM10A,,2013-08-13,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-14,Risk of Violence,1,Low,2013-08-14,2013-08-13,2013-08-15,1,1,961,0,0 +2550,resendiz santiago,resendiz,santiago,2013-12-19,Male,1982-08-18,33,25 - 45,Caucasian,0,3,0,0,0,,,,13017464CF10A,2013-12-18,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-19,Risk of Violence,3,Low,2013-12-19,,,0,0,834,0,0 +2554,lisa fogarty,lisa,fogarty,2014-02-28,Female,1966-08-24,49,Greater than 45,Caucasian,0,2,0,0,8,-10,2014-02-18 11:26:46,2014-02-27 04:09:20,13017790CF10A,,2014-02-18,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-28,Risk of Violence,1,Low,2014-02-28,2014-02-18,2014-02-27,8,0,763,0,0 +2556,dirrick stephens,dirrick,stephens,2013-02-10,Male,1992-08-27,23,Less than 25,African-American,0,7,0,0,0,0,2013-02-10 12:53:04,2013-02-11 07:30:44,13002033CF10A,2013-02-09,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-10,Risk of Violence,5,Medium,2013-02-10,2013-02-10,2013-02-11,0,1,1146,0,0 +2557,roberto paul,roberto,paul,2013-11-14,Male,1982-05-10,33,25 - 45,African-American,0,8,0,0,14,-79,2013-08-27 09:01:15,2013-11-03 02:08:38,13012078CF10A,2013-08-27,,79,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-14,Risk of Violence,5,Medium,2013-11-14,2013-08-27,2013-11-03,14,0,869,0,0 +2560,adesh persaud,adesh,persaud,2013-07-29,Male,1994-09-07,21,Less than 25,Caucasian,0,9,0,0,0,-2,2013-07-27 11:47:49,2013-07-28 05:43:39,13010541CF10A,2013-07-27,,2,F,Sale/Del Cannabis At/Near Scho,1,13012997CF10A,(F3),0,2013-09-14,Possession Of Alprazolam,2013-09-14,2013-10-07,,1,13021891MM10A,(M1),2013-11-21,Battery,Risk of Recidivism,9,High,2013-07-29,Risk of Violence,6,Medium,2013-07-29,2013-09-14,2013-10-07,0,0,47,1,1 +2561,alisha burns,alisha,burns,2014-12-17,Female,1986-01-04,30,25 - 45,Caucasian,0,10,0,0,2,-1,2014-12-16 01:46:57,2015-01-28 12:32:21,14016749CF10A,2014-12-17,,0,F,Burglary Unoccupied Dwelling,1,15002055MM10A,(M1),0,2015-02-08,Unlaw Use False Name/Identity,2015-02-08,2015-06-30,,0,,,,,Risk of Recidivism,10,High,2014-12-17,Risk of Violence,4,Low,2014-12-17,2015-02-08,2015-06-30,2,42,53,1,1 +2562,michael milla,michael,milla,2013-08-20,Male,1989-05-06,26,25 - 45,Hispanic,0,4,0,1,7,0,2013-08-20 12:51:18,2013-08-22 05:25:59,13015725MM10A,2013-08-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-20,Risk of Violence,4,Low,2013-08-20,2013-08-20,2013-08-22,7,2,955,0,0 +2564,nigel davis,nigel,davis,2013-01-21,Male,1981-04-17,35,25 - 45,Other,0,1,0,0,3,-1,2013-01-20 05:18:14,2013-01-21 07:52:22,13001354MM10A,2013-01-20,,1,M,Battery,1,13000445MM20A,(M1),96,2013-02-02,Possess Cannabis/20 Grams Or Less,2013-05-09,2013-05-25,,0,,,,,Risk of Recidivism,1,Low,2013-01-21,Risk of Violence,2,Low,2013-01-21,2016-01-30,2016-02-04,3,0,12,1,1 +2566,melvin stewart,melvin,stewart,2013-01-02,Male,1989-02-28,27,25 - 45,African-American,0,9,0,1,2,-1,2013-01-01 09:18:48,2013-01-02 11:09:35,13000050MM10A,2013-01-01,,1,M,Possess Cannabis/20 Grams Or Less,1,15015534TC20A,(M2),,2015-02-25,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-01-02,Risk of Violence,4,Low,2013-01-02,2014-01-07,2014-01-29,2,0,370,0,0 +2567,ronnie foley,ronnie,foley,2013-01-04,Male,1977-09-16,38,25 - 45,Caucasian,0,6,0,0,1,0,2013-01-04 12:48:45,2013-01-19 09:25:50,13000194MM10A,2013-01-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-01-04,2013-01-19,1,15,1183,0,0 +2568,cornell fullard,cornell,fullard,2013-02-04,Male,1967-05-03,48,Greater than 45,African-American,0,9,0,0,14,23,2013-02-27 03:22:52,2013-07-19 10:47:00,11008629CF10A,,2012-04-12,298,F,arrest case no charge,1,14004531CF10A,(F3),0,2014-04-01,Possession of Cocaine,2014-04-01,2014-06-10,,0,,,,,Risk of Recidivism,9,High,2013-02-04,Risk of Violence,3,Low,2013-02-04,2013-02-27,2013-07-19,14,0,23,0,1 +2569,elie boujaoude,elie,boujaoude,2014-03-05,Male,1989-09-15,26,25 - 45,Caucasian,0,2,0,0,0,-1,2014-03-04 04:15:31,2014-03-05 01:44:19,14003719MM10A,2014-03-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-05,Risk of Violence,3,Low,2014-03-05,2014-03-04,2014-03-05,0,0,758,0,0 +2571,avery kenon,avery,kenon,2013-08-29,Male,1992-03-06,24,Less than 25,African-American,0,8,1,0,4,-27,2013-08-02 08:34:54,2013-08-29 05:18:22,13010918CF10A,2013-08-02,,27,F,Possession of Cocaine,1,13014268CF10A,(F3),0,2013-10-11,Possession of Cocaine,2013-10-11,2013-10-12,,0,,,,,Risk of Recidivism,8,High,2013-08-29,Risk of Violence,5,Medium,2013-08-29,2013-10-11,2013-10-12,4,0,43,1,1 +2572,dequronda pinkney,dequronda,pinkney,2014-06-10,Female,1988-03-16,28,25 - 45,African-American,0,5,0,0,2,0,2014-06-10 05:18:42,2014-06-11 01:59:47,14008031CF10A,2014-06-10,,0,F,Possession Of Alprazolam,1,15007571TC20A,(M2),,2015-01-20,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2014-06-10,Risk of Violence,3,Low,2014-06-10,2014-06-10,2014-06-11,2,1,224,1,1 +2573,cynthia carrasco,cynthia,carrasco,2013-03-17,Female,1972-01-10,44,25 - 45,Caucasian,0,6,0,0,4,0,2013-03-17 04:09:52,2013-03-22 05:53:12,13003868CF10A,2013-03-17,,0,F,Possession of Cocaine,1,13014589MM10A,(M2),0,2013-08-04,Prostitution/Lewd Act Assignation,2013-08-04,2013-09-20,,0,,,,,Risk of Recidivism,6,Medium,2013-03-17,Risk of Violence,2,Low,2013-03-17,2013-08-04,2013-09-20,4,5,140,1,1 +2574,slade hanson,slade,hanson,2013-04-02,Male,1993-02-22,23,Less than 25,Caucasian,0,7,0,1,2,0,2013-04-02 02:25:10,2013-04-15 09:11:23,13004653CF10A,2013-04-02,,0,F,Poss of Firearm by Convic Felo,1,15010282CF10A,(F3),,2015-08-10,Possession of Cannabis,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-02,Risk of Violence,6,Medium,2013-04-02,2013-04-02,2013-04-15,2,13,860,1,0 +2575,cellie mayol,cellie,mayol,2013-02-07,Female,1981-11-29,34,25 - 45,Caucasian,0,6,0,0,1,-1,2013-02-06 10:06:26,2013-02-19 07:35:25,10021781CF10A,,2013-02-06,1,F,arrest case no charge,1,13016459CF10A,(F3),0,2013-11-26,Sel/Man/Del/Pos/W/Int Diazepam,2013-11-26,2014-01-08,,0,,,,,Risk of Recidivism,6,Medium,2013-02-07,Risk of Violence,2,Low,2013-02-07,2013-11-26,2014-01-08,1,12,292,1,1 +2576,ryan kirby,ryan,kirby,2014-05-27,Male,1995-08-24,20,Less than 25,Caucasian,0,5,1,0,1,-1,2014-05-26 05:28:03,2014-05-27 12:59:07,14007308CF10A,2014-05-26,,1,F,Burglary Conveyance Unoccup,1,15000064MM30A,(M1),18,2014-12-19,Carrying A Concealed Weapon,2015-01-06,2015-01-23,,0,,,,,Risk of Recidivism,5,Medium,2014-05-27,Risk of Violence,7,Medium,2014-05-27,2015-01-06,2015-01-23,1,0,206,1,1 +2578,milton stewart,milton,stewart,2014-03-30,Male,1952-12-07,63,Greater than 45,Other,0,4,0,0,23,-1,2014-03-29 07:19:43,2014-03-31 08:47:00,14004426CF10A,2014-03-29,,1,F,Felony Petit Theft,1,15002162CF10A,(M1),0,2015-02-16,Trespass/Property/Other Structure,2015-02-16,2015-02-21,,0,,,,,Risk of Recidivism,4,Low,2014-03-30,Risk of Violence,2,Low,2014-03-30,2014-07-31,2014-09-25,23,1,123,0,1 +2579,areej dorriety,areej,dorriety,2014-03-20,Female,1979-07-08,36,25 - 45,African-American,0,1,0,0,0,0,2014-03-20 05:28:52,2014-03-20 10:13:58,14011173MU10A,2014-03-20,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-03-20,2014-03-20,0,0,743,0,0 +2580,jaqueline roberts,jaqueline,roberts,2013-04-03,Male,1957-08-06,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-04-02 11:17:17,2013-06-21 10:09:13,13004741CF10A,,2013-04-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2016-02-04,2020-01-01,1,79,1037,0,0 +2581,patrick blake,patrick,blake,2013-09-05,Male,1990-12-08,25,25 - 45,African-American,0,7,0,0,7,463,2014-12-12 05:41:27,2014-12-12 08:47:23,11003279CF10A,,2012-04-03,520,F,arrest case no charge,1,14016518CF10A,(F3),0,2014-12-12,Possession of Cannabis,2014-12-12,2014-12-12,,0,,,,,Risk of Recidivism,7,Medium,2013-09-05,Risk of Violence,7,Medium,2013-09-05,2014-12-12,2014-12-12,7,0,463,0,1 +2582,drew pressotto,drew,pressotto,2013-10-04,Male,1969-08-25,46,Greater than 45,Caucasian,0,3,0,0,5,125,2014-02-06 04:42:19,2014-02-06 10:06:22,12008332TC10A,,2013-02-06,240,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-04,Risk of Violence,2,Low,2013-10-04,2014-02-06,2014-02-06,5,0,125,0,0 +2583,becky nichols,becky,nichols,2013-09-12,Female,1980-12-18,35,25 - 45,Caucasian,0,3,0,0,4,-30,2013-08-13 08:23:34,2013-08-27 06:21:58,13015812CF10A,2013-08-13,,30,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-12,Risk of Violence,4,Low,2013-09-12,2015-11-28,2015-12-21,4,0,807,0,0 +2584,demarcus atkins,demarcus,atkins,2013-05-06,Male,1992-06-23,23,Less than 25,African-American,0,7,0,0,3,-1,2013-05-05 05:12:30,2013-05-06 08:15:16,13012264CF10A,2013-05-05,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-06,Risk of Violence,5,Medium,2013-05-06,2013-09-17,2013-09-18,3,0,134,0,0 +2586,chad burnside,chad,burnside,2013-12-23,Male,1975-12-09,40,25 - 45,Caucasian,0,1,0,0,1,-21,2013-12-02 03:16:31,2013-12-23 11:40:21,13016679CF10A,2013-12-02,,21,F,Attempted Robbery No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-02,2013-12-23,1,0,830,0,0 +2588,jeffrey insua,jeffrey,insua,2013-10-14,Male,1984-06-06,31,25 - 45,Hispanic,0,3,0,0,3,-1,2013-10-13 03:10:18,2013-10-14 02:35:46,13014328CF10A,2013-10-13,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-14,Risk of Violence,3,Low,2013-10-14,2013-10-13,2013-10-14,3,0,900,0,0 +2589,arlene gonzalez,arlene,gonzalez,2013-05-22,Female,1981-12-22,34,25 - 45,Hispanic,0,4,0,0,5,0,2013-05-22 01:22:00,2013-05-23 03:30:07,13007303CF10A,2013-05-21,,1,F,Live on Earnings of Prostitute,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-22,2013-05-23,5,1,1045,0,0 +2591,jamar hall,jamar,hall,2014-07-10,Male,1992-08-15,23,Less than 25,African-American,0,6,0,0,3,-1,2014-07-09 03:32:50,2014-07-22 04:47:00,14010550MM10A,2014-07-09,,1,M,Viol Prot Injunc Repeat Viol,1,14013096CF10A,(F3),0,2014-09-27,Poss Pyrrolidinovalerophenone,2014-09-27,2014-09-28,,0,,,,,Risk of Recidivism,6,Medium,2014-07-10,Risk of Violence,4,Low,2014-07-10,2014-09-27,2014-09-28,3,12,79,1,1 +2592,nathaniel martin,nathaniel,martin,2014-05-23,Male,1988-07-25,27,25 - 45,Caucasian,0,3,0,0,0,-5,2014-05-18 07:16:19,2014-05-22 09:08:47,14018573MU10A,2014-05-18,,5,M,Fail Register Vehicle,1,15075271TC30A,(M2),,2015-09-03,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,3,Low,2014-05-23,Risk of Violence,2,Low,2014-05-23,2014-05-18,2014-05-22,0,0,468,1,1 +2593,tanisha benjamin,tanisha,benjamin,2013-05-17,Female,1989-08-31,26,25 - 45,African-American,0,5,0,0,3,-27,2013-04-20 02:01:12,2013-05-17 10:53:39,13005671CF10A,2013-04-20,,27,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-17,Risk of Violence,3,Low,2013-05-17,2013-04-20,2013-05-17,3,0,1050,0,0 +2594,arthur campbell,arthur,campbell,2013-02-10,Male,1967-01-11,49,Greater than 45,African-American,0,1,0,0,1,0,2013-02-10 02:43:29,2013-03-07 01:58:42,13002059CF10A,2013-02-10,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-10,Risk of Violence,1,Low,2013-02-10,2013-02-10,2013-03-07,1,25,1146,0,0 +2595,lucia abreu,lucia,abreu,2013-08-25,Female,1968-07-24,47,Greater than 45,Hispanic,0,1,0,0,0,0,2013-08-25 04:06:09,2013-08-26 07:32:33,13016278MM10A,2013-08-25,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-25,Risk of Violence,1,Low,2013-08-25,2013-08-25,2013-08-26,0,1,950,0,0 +2599,monique falcon,monique,falcon,2013-03-07,Female,1970-07-14,45,Greater than 45,Native American,0,2,0,0,1,,,,10017138MM10A,,2012-10-11,147,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-07,Risk of Violence,1,Low,2013-03-07,,,1,0,1121,0,0 +2602,richard lindo,richard,lindo,2013-10-07,Male,1969-02-05,47,Greater than 45,African-American,0,2,0,0,6,0,2013-10-07 03:07:53,2013-10-12 05:24:47,13014052CF10A,2013-10-07,,0,F,Att Tamper w/Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-10-07,2013-10-12,6,5,907,0,0 +2604,terence palmer,terence,palmer,2013-04-20,Male,1982-02-26,34,25 - 45,African-American,0,6,0,0,7,0,2013-04-20 01:50:04,2013-04-20 07:14:44,13005651CF10A,2013-04-19,,1,F,Possession of Cannabis,1,13017183CF10A,(M1),1,2013-12-12,Possess Drug Paraphernalia,2013-12-13,2013-12-13,,0,,,,,Risk of Recidivism,6,Medium,2013-04-20,Risk of Violence,2,Low,2013-04-20,2013-12-13,2013-12-13,7,0,236,1,1 +2605,isaac ramirez,isaac,ramirez,2013-02-22,Male,1971-01-05,45,Greater than 45,Hispanic,0,8,0,0,1,378,2014-03-07 09:43:42,2014-03-13 08:26:17,13001306MM10A,2013-01-16,,37,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-22,Risk of Violence,4,Low,2013-02-22,2014-03-07,2014-03-13,1,0,378,0,0 +2606,jeremy daniel,jeremy,daniel,2013-03-01,Male,1989-04-16,27,25 - 45,African-American,0,9,0,0,10,-1,2013-02-28 11:54:44,2013-03-08 08:37:14,12000192CF10A,,2013-02-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-01,Risk of Violence,8,High,2013-03-01,2013-02-28,2013-03-08,10,7,1127,0,0 +2607,carmen fontes,carmen,fontes,2013-12-31,Female,1963-09-01,52,Greater than 45,Caucasian,0,1,0,0,0,0,2013-12-31 12:19:12,2013-12-31 12:53:38,13024008MM10A,2013-12-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-31,Risk of Violence,1,Low,2013-12-31,2013-12-31,2013-12-31,0,0,822,0,0 +2608,ivan ferguson,ivan,ferguson,2014-11-17,Male,1990-01-27,26,25 - 45,African-American,0,3,0,0,0,-3,2014-11-14 02:56:30,2014-11-15 02:21:54,14016313MM10A,2014-11-14,,3,M,Operating W/O Valid License,1,15003086MM10A,(M1),,2015-03-14,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2014-11-17,Risk of Violence,3,Low,2014-11-17,2014-11-14,2014-11-15,0,0,117,1,1 +2609,michael anderson,michael,anderson,2013-02-27,Male,1991-01-03,25,25 - 45,African-American,0,7,0,1,9,0,2013-02-27 04:07:32,2013-03-01 11:04:29,13002975CF10A,2013-02-26,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-27,Risk of Violence,4,Low,2013-02-27,2014-08-18,2014-09-05,9,2,537,0,0 +2610,melvin eberhart,melvin,eberhart,2013-09-26,Male,1964-06-07,51,Greater than 45,African-American,0,2,0,0,1,-1,2013-09-25 09:56:06,2014-03-07 03:16:11,13002843CF10A,,2013-09-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,2,Low,2013-09-26,2013-09-25,2014-03-07,1,162,918,0,0 +2611,shanteka arvinger,shanteka,arvinger,2013-02-01,Female,1986-07-27,29,25 - 45,African-American,0,2,0,0,1,0,2013-02-01 02:58:03,2013-02-01 01:55:45,13002339MM10A,2013-02-01,,0,M,Refuse to Supply DNA Sample,1,15009692CF10A,(F3),0,2015-07-28,Crimin Mischief Damage $1000+,2015-07-28,2015-10-01,,0,,,,,Risk of Recidivism,2,Low,2013-02-01,Risk of Violence,2,Low,2013-02-01,2015-07-28,2015-10-01,1,0,907,1,0 +2612,delponjarai howard,delponjarai,howard,2013-05-11,Male,1976-06-10,39,25 - 45,African-American,0,3,0,0,1,,,,96015521CF10A,,1997-06-18,5806,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-11,Risk of Violence,2,Low,2013-05-11,2004-08-17,2006-01-17,1,0,1056,0,0 +2613,holger doerr,holger,doerr,2014-03-16,Male,1969-08-18,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-15 05:47:39,2014-03-16 01:19:00,14003736CF10A,2014-03-15,,1,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0 +2614,joseph parisi,joseph,parisi,2014-01-06,Male,1987-06-14,28,25 - 45,Caucasian,0,4,0,0,6,-2,2014-01-04 09:16:10,2014-01-06 11:05:22,14000157CF10A,2014-01-04,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-06,Risk of Violence,3,Low,2014-01-06,2014-08-12,2014-10-17,6,0,218,0,0 +2615,howard carter,howard,carter,2014-02-08,Male,1958-08-19,57,Greater than 45,African-American,0,1,0,0,0,-1,2014-02-07 07:32:03,2014-02-08 09:00:33,14001734CF10A,2014-02-07,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-08,Risk of Violence,1,Low,2014-02-08,2014-02-07,2014-02-08,0,0,783,0,0 +2616,andres tejera,andres,tejera,2013-01-18,Male,1993-03-10,23,Less than 25,Hispanic,0,5,0,0,2,-1,2013-01-17 06:30:04,2013-01-18 01:51:21,13000838CF10A,2013-01-17,,1,F,Sel/Pur/Mfr/Del Control Substa,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-18,Risk of Violence,5,Medium,2013-01-18,2013-01-17,2013-01-18,2,0,1169,0,0 +2618,harvey francois,harvey,francois,2014-01-13,Male,1981-10-21,34,25 - 45,African-American,0,9,0,0,27,-1,2014-01-12 03:07:09,2014-05-10 05:12:05,14000524CF10A,2014-01-12,,1,F,Felony Petit Theft,1,14008753CF10A,(F3),0,2014-06-25,Grand Theft in the 3rd Degree,2014-06-25,2014-12-24,,0,,,,,Risk of Recidivism,9,High,2014-01-13,Risk of Violence,7,Medium,2014-01-13,2014-06-25,2014-12-24,27,117,163,1,1 +2619,kenyetta mattocks,kenyetta,mattocks,2014-03-16,Male,1989-03-25,27,25 - 45,African-American,0,3,0,0,3,-1,2014-03-15 03:18:42,2014-03-27 08:42:37,13016144CF10A,,2014-03-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-16,Risk of Violence,2,Low,2014-03-16,2014-03-15,2014-03-27,3,11,747,0,0 +2620,lenard platt,lenard,platt,2014-01-22,Male,1991-04-09,25,25 - 45,African-American,0,9,0,1,7,-1,2014-01-21 08:22:17,2014-01-24 10:19:47,14001000MM10A,2014-01-21,,1,M,Viol Injunct Domestic Violence,1,14006299MM10A,(M1),,2014-03-18,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,9,High,2014-01-22,Risk of Violence,6,Medium,2014-01-22,2014-01-21,2014-01-24,7,2,55,1,1 +2621,anthony cortes,anthony,cortes,2014-11-14,Male,1985-02-21,31,25 - 45,Caucasian,0,7,0,0,1,-1,2014-11-13 05:26:22,2014-12-16 04:07:30,14015242CF10A,2014-11-13,,1,F,Grand Theft in the 3rd Degree,1,16000111MM10A,(M1),0,2016-01-04,Possess Drug Paraphernalia,2016-01-04,2016-01-28,,1,16000111MM10A,(M1),2016-01-04,Battery,Risk of Recidivism,7,Medium,2014-11-14,Risk of Violence,2,Low,2014-11-14,2016-01-04,2016-01-28,1,32,416,1,1 +2623,joseph skipper,joseph,skipper,2014-03-21,Male,1978-11-08,37,25 - 45,African-American,0,2,0,0,8,-1,2014-03-20 07:04:53,2014-03-21 08:33:26,14003962CF10A,2014-03-20,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-21,Risk of Violence,1,Low,2014-03-21,2014-03-20,2014-03-21,8,0,742,0,0 +2624,lance geddes,lance,geddes,2013-05-08,Male,1964-04-20,51,Greater than 45,African-American,0,2,0,0,0,0,2013-05-08 02:42:29,2013-05-09 09:51:05,13006593CF10A,2013-05-08,,0,F,Possession of Cocaine,1,13023400MM10A,(M1),,2013-11-15,Battery,,,,1,13023400MM10A,(M1),2013-11-15,Battery,Risk of Recidivism,2,Low,2013-05-08,Risk of Violence,1,Low,2013-05-08,2013-05-14,2013-05-16,0,1,6,0,1 +2625,reinaldo rodriguez-hernandez,reinaldo,rodriguez-hernandez,2014-01-27,Male,1964-10-09,51,Greater than 45,Hispanic,0,2,0,0,3,-86,2013-11-02 05:23:27,2013-11-04 09:22:03,14000648MM10A,2014-01-13,,14,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2013-11-02,2013-11-04,3,0,795,0,0 +2630,kena boone,kena,boone,2013-01-17,Male,1987-07-26,28,25 - 45,African-American,0,6,1,0,8,-1,2013-01-16 11:54:04,2013-02-26 04:08:32,13000756CF10A,2013-01-16,,1,F,Resist Officer w/Violence,1,15009403CF10A,(M1),0,2015-07-21,Possess Drug Paraphernalia,2015-07-21,2015-07-22,,0,,,,,Risk of Recidivism,6,Medium,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2013-06-17,2013-06-19,8,40,151,0,0 +2632,frank ciccio,frank,ciccio,2014-01-16,Male,1959-12-29,56,Greater than 45,Caucasian,0,1,0,0,4,0,2014-01-16 02:39:17,2014-01-23 10:04:18,14000691CF10A,2014-01-16,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2014-01-16,2014-01-23,4,7,806,0,0 +2633,alando brown,alando,brown,2013-11-19,Male,1970-05-24,45,Greater than 45,African-American,0,9,0,0,15,-1,2013-11-18 07:33:50,2014-10-15 05:49:55,13016013CF10A,2013-11-18,,1,F,Att Burgl Unoccupied Dwel,1,15004897CF10A,(F3),0,2015-04-14,Possession of Cocaine,2015-04-14,2015-08-29,,0,,,,,Risk of Recidivism,9,High,2013-11-19,Risk of Violence,7,Medium,2013-11-19,2015-04-14,2015-08-29,15,330,511,1,1 +2634,ruben soto,ruben,soto,2013-03-19,Male,1989-09-01,26,25 - 45,Caucasian,0,6,0,0,7,-1,2013-03-18 07:27:49,2013-04-05 08:05:25,13003934CF10A,2013-03-18,,1,F,Burglary Dwelling Occupied,1,13036773TC10A,(M2),,2013-09-22,Susp Drivers Lic 1st Offense,,,,1,13023373MM10A,(M2),2013-12-17,Assault,Risk of Recidivism,6,Medium,2013-03-19,Risk of Violence,4,Low,2013-03-19,2013-03-18,2013-04-05,7,17,187,1,1 +2637,jaime niedda,jaime,niedda,2014-07-27,Male,1982-09-12,33,25 - 45,Caucasian,0,8,0,0,7,-1,2014-07-26 03:22:27,2014-07-27 08:26:01,14010205CF10A,2014-07-26,,1,F,Felony Battery (Dom Strang),1,15011722MM10A,(M1),0,2015-11-08,Battery,2015-11-08,2015-11-10,,1,15011722MM10A,(M1),2015-11-08,Battery,Risk of Recidivism,8,High,2014-07-27,Risk of Violence,2,Low,2014-07-27,2015-08-01,2015-08-02,7,0,370,0,1 +2638,ameer badal,ameer,badal,2013-09-03,Male,1992-05-06,23,Less than 25,Caucasian,0,4,0,3,0,-2,2013-09-01 06:04:07,2013-09-02 08:50:01,13016724MM10A,2013-09-01,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-03,Risk of Violence,3,Low,2013-09-03,2013-09-01,2013-09-02,0,0,941,0,0 +2639,jonathan coby,jonathan,coby,2013-09-30,Male,1984-05-18,31,25 - 45,African-American,0,2,0,0,0,0,2013-09-30 04:48:28,2013-09-30 08:01:23,13018613MM10A,2013-09-30,,0,M,Poss Drugs W/O A Prescription,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-30,Risk of Violence,2,Low,2013-09-30,2013-09-30,2013-09-30,0,0,914,0,0 +2641,alphanso clarke,alphanso,clarke,2013-02-19,Male,1985-04-08,31,25 - 45,Other,0,3,0,0,0,-1,2013-02-18 02:32:16,2013-02-19 06:53:35,13003455MM10A,2013-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-18,2013-02-19,0,0,1137,0,0 +2642,carlos delcid,carlos,delcid,2013-09-23,Male,1996-05-11,19,Less than 25,Hispanic,1,9,0,0,1,-12,2013-09-11 07:10:26,2013-09-16 06:40:29,13012824CF10A,,2013-09-11,12,F,arrest case no charge,1,15011680MM10A,(M1),0,2015-11-07,Battery,2015-11-07,2015-11-10,,1,15011680MM10A,(M1),2015-11-07,Battery,Risk of Recidivism,9,High,2013-09-23,Risk of Violence,10,High,2013-09-23,2015-11-07,2015-11-10,1,0,775,1,0 +2643,benjamin chase,benjamin,chase,2013-03-01,Male,1983-06-25,32,25 - 45,Caucasian,0,1,0,0,0,0,2013-03-01 03:05:20,2013-03-01 08:05:57,13003113CF10A,2013-03-01,,0,F,Aggravated Assault W/o Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-01,0,0,1127,0,0 +2644,joseph amato,joseph,amato,2013-12-03,Male,1986-01-05,30,25 - 45,Caucasian,0,3,0,0,1,-1,2013-12-02 06:06:00,2013-12-03 01:25:01,13022428MM10A,2013-12-02,,1,M,Driving Under The Influence,1,14023470TC40A,(M2),166,2014-04-04,Driving License Suspended,2014-09-17,2014-09-20,,0,,,,,Risk of Recidivism,3,Low,2013-12-03,Risk of Violence,2,Low,2013-12-03,2016-03-04,2016-03-04,1,0,122,1,1 +2645,elsie figueroa,elsie,figueroa,2013-06-07,Female,1968-03-14,48,Greater than 45,Hispanic,0,6,0,0,9,-87,2013-03-12 05:15:17,2013-05-08 09:35:00,07010629CF10A,,2013-03-12,87,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-07,Risk of Violence,6,Medium,2013-06-07,2013-03-12,2013-05-08,9,0,1029,0,0 +2649,douglas delarosa,douglas,delarosa,2013-09-20,Male,1950-01-31,66,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-09-19 10:18:25,2013-09-20 08:42:02,13013213CF10A,,2013-09-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-09-19,2013-09-20,1,0,924,0,0 +2650,tanamra brackett,tanamra,brackett,2014-03-25,Female,1975-06-30,40,25 - 45,African-American,0,1,0,0,0,0,2014-03-25 12:36:32,2014-03-25 08:18:56,14004157CF10A,2014-03-24,,1,F,Grand Theft in the 1st Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-25,Risk of Violence,1,Low,2014-03-25,2014-03-25,2014-03-25,0,0,738,0,0 +2651,herbert lindsey,herbert,lindsey,2013-08-02,Male,1956-12-13,59,Greater than 45,African-American,0,2,0,0,4,0,2013-08-02 04:48:15,2013-08-03 04:06:59,13014713MM10A,2013-08-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-02,Risk of Violence,2,Low,2013-08-02,2013-08-02,2013-08-03,4,1,973,0,0 +2652,felix payne,felix,payne,2013-10-31,Male,1990-06-21,25,25 - 45,African-American,0,7,0,0,5,118,2014-02-26 09:11:49,2014-05-22 11:09:00,11018917CF10A,,2013-07-03,120,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-31,Risk of Violence,7,Medium,2013-10-31,2014-02-26,2014-05-22,5,0,118,0,0 +2654,michael duplessy,michael,duplessy,2013-10-18,Male,1988-09-30,27,25 - 45,African-American,0,7,0,0,3,-23,2013-09-25 04:20:19,2013-09-26 09:32:53,13010603TC20A,2013-01-09,,282,M,Leave Accd/Attend Veh/Less $50,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-18,Risk of Violence,3,Low,2013-10-18,2013-09-25,2013-09-26,3,0,896,0,0 +2655,giovanni bonair,giovanni,bonair,2013-01-10,Male,1993-11-17,22,Less than 25,African-American,0,3,0,0,0,-1,2013-01-09 08:21:48,2013-01-10 01:28:55,13000390CF10A,2013-01-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,6,Medium,2013-01-10,2013-01-09,2013-01-10,0,0,1177,0,0 +2656,douglas bergman,douglas,bergman,2013-05-17,Male,1958-01-31,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-05-16 01:20:39,2013-05-17 01:12:54,13007010CF10A,2013-05-16,,1,F,Fel Drive License Perm Revoke,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-17,Risk of Violence,1,Low,2013-05-17,2014-01-13,2014-01-16,1,0,241,0,0 +2657,roy jones,roy,jones,2013-03-06,Male,1967-02-20,49,Greater than 45,African-American,0,1,0,0,1,,,,13004499MM10A,2013-03-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,1,Low,2013-03-06,,,1,0,1122,0,0 +2658,ernesto chao,ernesto,chao,2014-01-06,Male,1986-09-28,29,25 - 45,Caucasian,0,3,0,0,2,-2,2014-01-04 09:12:16,2014-01-06 11:05:13,14000156CF10A,2014-01-04,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-06,Risk of Violence,2,Low,2014-01-06,2014-01-04,2014-01-06,2,0,816,0,0 +2661,ann thorpe,ann,thorpe,2013-03-22,Female,1971-10-16,44,25 - 45,Caucasian,0,7,0,0,11,245,2013-11-22 12:38:50,2013-12-19 04:15:41,13004091CF10A,2013-03-21,,1,F,Felony Battery w/Prior Convict,1,13011484MM10A,(M1),160,2013-06-15,Resist/Obstruct W/O Violence,2013-11-22,2013-12-19,,0,,,,,Risk of Recidivism,7,Medium,2013-03-22,Risk of Violence,2,Low,2013-03-22,2014-10-05,2014-12-07,11,0,85,1,1 +2662,fernando lopez,fernando,lopez,2013-12-04,Male,1991-07-17,24,Less than 25,African-American,0,4,0,0,2,203,2014-06-25 08:43:02,2014-07-01 11:20:30,12013210CF10A,2012-09-07,,453,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-04,Risk of Violence,3,Low,2013-12-04,2014-06-25,2014-07-01,2,0,203,0,0 +2664,lawrence cottle,lawrence,cottle,2013-11-13,Male,1988-11-27,27,25 - 45,African-American,0,8,0,0,0,-1,2013-11-12 08:49:59,2014-01-12 07:13:33,13015730CF10A,2013-11-12,,1,F,Aggravated Assault W/Dead Weap,1,15008602CF10A,(F2),0,2015-07-05,Throw Deadly Missile Into Veh,2015-07-05,2015-07-08,,1,15008602CF10A,(F2),2015-07-05,Throw Deadly Missile Into Veh,Risk of Recidivism,8,High,2013-11-13,Risk of Violence,7,Medium,2013-11-13,2014-08-09,2014-09-11,0,60,269,0,1 +2666,cheriz bradley,cheriz,bradley,2013-11-14,Female,1981-07-17,34,25 - 45,African-American,0,5,0,0,5,-53,2013-09-22 07:23:11,2013-10-17 04:44:38,13013352CF10A,2013-09-22,,53,F,Resist Officer w/Violence,1,14009504CF10A,(F3),0,2014-07-11,Possession of Cocaine,2014-07-11,2014-08-19,,0,,,,,Risk of Recidivism,5,Medium,2013-11-14,Risk of Violence,5,Medium,2013-11-14,2014-03-18,2014-04-10,5,0,124,0,1 +2667,david turner,david,turner,2013-03-04,Male,1991-08-26,24,Less than 25,Caucasian,0,5,0,0,0,-3,2013-03-01 11:53:52,2013-03-03 01:39:58,13003099CF10A,2013-03-01,,3,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-04,Risk of Violence,4,Low,2013-03-04,2015-04-11,2015-04-16,0,0,768,0,0 +2668,shannon morsillo,shannon,morsillo,2013-09-16,Female,1980-05-22,35,25 - 45,Caucasian,0,4,1,0,3,0,2013-09-16 02:49:07,2013-09-16 07:49:06,13013067CF10A,2013-09-16,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-16,Risk of Violence,2,Low,2013-09-16,2013-09-16,2013-09-16,3,0,928,0,0 +2669,bruce siegel,bruce,siegel,2013-02-20,Male,1950-05-31,65,Greater than 45,Caucasian,0,3,0,0,4,,,,12025503MM10A,2012-12-14,,68,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,,,4,0,1136,0,0 +2671,zachary fruster,zachary,fruster,2013-03-21,Male,1986-09-06,29,25 - 45,African-American,0,8,2,1,7,0,2013-03-21 01:34:25,2013-03-23 07:42:18,13004097CF10A,2013-03-21,,0,F,Grand Theft in the 3rd Degree,1,13004097CF10A,(F1),,2013-03-26,Harass Witness/Victm/Informnt,,,,0,,,,,Risk of Recidivism,8,High,2013-03-21,Risk of Violence,7,Medium,2013-03-21,2013-03-21,2013-03-23,7,2,5,1,1 +2672,ivory miller,ivory,miller,2013-05-02,Male,1985-12-17,30,25 - 45,African-American,1,9,0,0,5,-1,2013-05-01 01:32:49,2013-05-03 03:49:21,13006251CF10A,2013-05-01,,1,F,Aggravated Assault W/dead Weap,1,14010717MM10A,(M1),0,2014-07-13,Resist/Obstruct W/O Violence,2014-07-13,2014-07-16,,1,14010717MM10A,(M1),2014-07-13,Battery,Risk of Recidivism,9,High,2013-05-02,Risk of Violence,6,Medium,2013-05-02,2014-07-13,2014-07-16,5,1,437,1,1 +2673,jarvis mccloud,jarvis,mccloud,2013-01-18,Male,1992-06-26,23,Less than 25,African-American,0,2,1,1,1,-1,2013-01-17 01:19:27,2013-01-19 09:27:19,13000826CF10A,2013-01-17,,1,F,Possession Burglary Tools,1,15010350MM10A,(M1),,2015-09-07,Battery,,,,1,15010350MM10A,(M1),2015-09-07,Battery,Risk of Recidivism,2,Low,2013-01-18,Risk of Violence,4,Low,2013-01-18,2013-08-29,2013-09-05,1,1,223,0,0 +2676,jonathan gordon,jonathan,gordon,2014-07-02,Male,1983-04-28,32,25 - 45,Caucasian,0,4,0,0,2,-27,2014-06-05 11:53:48,2014-06-06 02:23:00,14007774CF10A,2014-06-05,,27,F,Possession Of Heroin,1,15001926CF10A,(F7),,2015-02-05,Burglary Dwelling Armed,,,,1,15001926CF10A,(F7),2015-02-05,Burglary Dwelling Armed,Risk of Recidivism,4,Low,2014-07-02,Risk of Violence,1,Low,2014-07-02,2014-06-05,2014-06-06,2,0,218,1,1 +2677,nicholas staggewise,nicholas,staggewise,2013-09-24,Male,1994-02-28,22,Less than 25,Caucasian,0,5,0,0,2,-1,2013-09-23 09:01:58,2013-09-27 03:54:42,13013378CF10A,,2013-09-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-24,Risk of Violence,5,Medium,2013-09-24,2013-09-23,2013-09-27,2,3,920,0,0 +2678,kevin pierrelouis,kevin,pierrelouis,2013-12-28,Male,1994-10-06,21,Less than 25,African-American,0,3,0,0,0,-1,2013-12-27 04:28:14,2013-12-28 08:24:11,13023881MM10A,2013-12-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-28,Risk of Violence,5,Medium,2013-12-28,2013-12-27,2013-12-28,0,0,825,0,0 +2679,kelli smith,kelli,smith,2013-05-15,Female,1972-08-01,43,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-14 12:38:54,2013-05-14 11:35:49,13009244MM10A,2013-05-13,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,1,Low,2013-05-15,2013-05-14,2013-05-14,0,0,1052,0,0 +2680,jazze johnson,jazze,johnson,2013-05-14,Male,1986-09-29,29,25 - 45,African-American,0,8,0,0,0,-1,2013-05-13 07:26:35,2013-05-16 03:43:24,13006827CF10A,2013-05-13,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-14,Risk of Violence,4,Low,2013-05-14,2015-05-04,2015-08-19,0,2,720,0,0 +2681,terrill morley,terrill,morley,2014-02-15,Male,1972-08-04,43,25 - 45,African-American,0,3,0,0,1,0,2014-02-15 03:04:19,2014-02-17 01:40:03,14002175CF10A,2014-02-14,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-15,Risk of Violence,3,Low,2014-02-15,2014-02-15,2014-02-17,1,2,776,0,0 +2682,reynard burrows,reynard,burrows,2014-03-29,Male,1990-08-26,25,25 - 45,African-American,0,2,0,0,1,-1,2014-03-28 03:44:26,2014-03-30 04:49:22,14004408CF10A,,2014-03-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-29,Risk of Violence,3,Low,2014-03-29,2014-03-28,2014-03-30,1,1,734,0,0 +2683,rita iscaro,rita,iscaro,2013-10-09,Male,1968-10-30,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-08 05:57:00,2013-10-09 08:10:17,13019142MM10A,2013-10-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-09,Risk of Violence,1,Low,2013-10-09,2013-10-08,2013-10-09,0,0,905,0,0 +2685,terri-ann gray,terri-ann,gray,2013-04-25,Female,1994-09-29,21,Less than 25,African-American,0,5,0,0,0,-2,2013-04-23 09:24:55,2013-04-24 01:57:08,13005850CF10A,2013-04-23,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-25,Risk of Violence,6,Medium,2013-04-25,2013-04-23,2013-04-24,0,0,1072,0,0 +2686,latia johnson,latia,johnson,2013-05-06,Female,1990-10-08,25,25 - 45,African-American,0,6,0,0,1,-100,2013-01-26 12:47:52,2013-01-26 08:48:00,09002935MM10A,2009-02-02,,1554,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-06,Risk of Violence,3,Low,2013-05-06,2013-01-26,2013-01-26,1,0,1061,0,0 +2687,jose somarriba-barrera,jose,somarriba-barrera,2013-10-19,Male,1961-12-05,54,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-19 12:42:06,2013-10-19 08:14:50,13019783MM10A,2013-10-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-19,Risk of Violence,1,Low,2013-10-19,2013-10-19,2013-10-19,0,0,895,0,0 +2688,brian fields,brian,fields,2013-02-07,Male,1982-01-19,34,25 - 45,African-American,0,1,0,1,3,-1,2013-02-06 12:54:19,2013-03-12 09:26:08,13001879CF10A,2013-02-06,,1,F,Lewd Act Presence Child 16-,1,13002546CF10A,(F1),32,2013-02-15,Sex Batt Faml/Cust Vict 12-17Y,2013-03-19,2013-03-20,,1,13002546CF10A,(F1),2013-02-15,Sex Batt Faml/Cust Vict 12-17Y,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2013-02-06,2013-03-12,3,0,8,1,1 +2689,laura elsy,laura,elsy,2013-04-08,Female,1988-03-21,28,25 - 45,African-American,0,2,0,0,2,-1,2013-04-07 06:55:46,2013-04-08 08:22:48,13006661MM10A,2013-04-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-07,2013-04-08,2,0,1089,0,0 +2690,alicja maxwell,alicja,maxwell,2013-07-18,Female,1962-11-25,53,Greater than 45,Caucasian,0,1,0,0,4,-1,2013-07-17 03:05:27,2013-07-17 06:29:47,13010023CF10A,2013-07-17,,1,F,Poss Contr Subst W/o Prescript,1,14033317MU10A,(M1),0,2014-09-15,DUI Property Damage/Injury,2014-09-15,2014-09-23,,0,,,,,Risk of Recidivism,1,Low,2013-07-18,Risk of Violence,1,Low,2013-07-18,2014-09-15,2014-09-23,4,0,424,1,1 +2691,kelly lestrade,kelly,lestrade,2013-01-31,Male,1961-11-24,54,Greater than 45,African-American,0,1,0,0,0,0,2013-01-31 12:10:19,2013-01-31 07:49:24,13002173MO10A,2013-01-30,,1,M,Soliciting For Prostitution,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-31,Risk of Violence,1,Low,2013-01-31,2013-01-31,2013-01-31,0,0,1156,0,0 +2692,benedicio salas,benedicio,salas,2013-04-19,Male,1978-07-07,37,25 - 45,Hispanic,0,1,0,0,3,-1,2013-04-18 02:12:18,2013-07-10 12:13:59,12004305CF10A,,2013-04-18,1,F,arrest case no charge,1,15026068TC20A,(M2),,2015-04-14,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-04-18,2013-07-10,3,82,725,1,1 +2696,antonio taylor,antonio,taylor,2013-10-30,Male,1981-09-28,34,25 - 45,African-American,0,4,0,0,2,-1,2013-10-29 05:28:11,2013-10-30 02:05:14,13015099CF10A,2013-10-29,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2015-07-17,2015-07-18,2,0,625,0,0 +2697,arturo torres,arturo,torres,2013-11-05,Male,1965-08-01,50,Greater than 45,Hispanic,0,9,0,0,11,-210,2013-04-09 12:06:10,2013-08-01 11:15:00,13007781MM10A,2013-04-09,,210,M,Extradition/Defendants,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-05,Risk of Violence,3,Low,2013-11-05,2013-04-09,2013-08-01,11,0,878,0,0 +2698,cheryl smith,cheryl,smith,2014-06-23,Female,1955-12-08,60,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-06-22 07:29:36,2014-06-23 08:57:59,14008597CF10A,2014-06-22,,1,F,Battery on Law Enforc Officer,1,16005063TC20A,(M2),,2016-01-26,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-06-23,Risk of Violence,1,Low,2014-06-23,2014-06-22,2014-06-23,0,0,582,1,1 +2700,chantel fleurima,chantel,fleurima,2014-02-06,Male,1993-06-09,22,Less than 25,African-American,0,4,0,0,0,-1,2014-02-05 06:45:32,2014-02-06 08:17:45,14001662CF10A,2014-02-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-06,Risk of Violence,5,Medium,2014-02-06,2014-02-05,2014-02-06,0,0,785,0,0 +2703,willie butler,willie,butler,2014-01-22,Male,1964-09-08,51,Greater than 45,African-American,0,7,0,0,3,0,2014-01-22 12:07:26,2014-01-22 08:34:55,14000928CF10A,2014-01-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-22,Risk of Violence,4,Low,2014-01-22,2014-01-22,2014-01-22,3,0,800,0,0 +2704,charles sherman,charles,sherman,2013-12-05,Male,1987-03-11,29,25 - 45,African-American,0,2,0,0,0,-1,2013-12-04 11:27:35,2013-12-17 11:21:44,13016828CF10A,2013-12-04,,1,F,Felony Battery (Dom Strang),1,14069325TC30A,(M2),,2014-08-07,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-05,Risk of Violence,2,Low,2013-12-05,2013-12-04,2013-12-17,0,12,245,1,1 +2706,ashley collins,ashley,collins,2013-04-04,Female,1987-10-25,28,25 - 45,African-American,0,5,0,0,1,-43,2013-02-20 01:20:12,2013-02-21 09:23:01,13002615CF10A,2013-02-20,,43,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-04,Risk of Violence,5,Medium,2013-04-04,2013-10-16,2013-10-21,1,0,195,0,0 +2707,michael burkland,michael,burkland,2013-10-01,Male,1979-09-19,36,25 - 45,Caucasian,0,7,0,0,6,-126,2013-05-28 04:14:16,2013-05-30 12:55:17,13007627CF10A,2013-05-23,,131,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-01,Risk of Violence,3,Low,2013-10-01,2015-04-24,2015-05-06,6,0,570,0,0 +2708,atley greenslade,atley,greenslade,2013-01-24,Male,1987-09-12,28,25 - 45,African-American,0,6,0,1,5,-1,2013-01-23 11:19:27,2013-02-20 07:44:00,11006005MM10A,,2013-01-23,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-24,Risk of Violence,5,Medium,2013-01-24,2013-01-23,2013-02-20,5,27,1163,0,0 +2711,brian vasquez,brian,vasquez,2013-03-11,Male,1982-05-09,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-10 04:42:45,2013-03-11 03:41:15,13003529CF10A,2013-03-10,,1,F,Grand Theft (Motor Vehicle),1,13005251CF10A,(F3),0,2013-04-11,Grand Theft (Motor Vehicle),2013-04-11,2013-04-12,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-04-11,2013-04-12,0,0,31,1,1 +2713,justin hyde,justin,hyde,2013-05-05,Male,1973-04-03,43,25 - 45,Caucasian,0,2,0,0,4,0,2013-05-05 03:19:14,2013-05-07 10:46:44,13008692MM10A,2013-05-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-05,Risk of Violence,4,Low,2013-05-05,2013-05-05,2013-05-07,4,2,1062,0,0 +2714,lazaro diaz,lazaro,diaz,2013-12-29,Male,1970-05-09,45,Greater than 45,Hispanic,0,6,0,0,1,-1,2013-12-28 11:13:04,2014-01-24 05:22:59,13023914MM10A,2013-12-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-29,Risk of Violence,3,Low,2013-12-29,2013-12-28,2014-01-24,1,26,824,0,0 +2716,michael cotto,michael,cotto,2014-05-15,Male,1983-11-19,32,25 - 45,Caucasian,0,5,0,0,5,-1,2014-05-14 07:11:41,2014-07-18 08:41:13,14006705CF10A,2014-05-14,,1,F,Resist Officer w/Violence,1,14079658TC30A,(M2),,2014-09-19,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,5,Medium,2014-05-15,Risk of Violence,7,Medium,2014-05-15,2014-05-14,2014-07-18,5,64,127,1,1 +2718,nicole henderson,nicole,henderson,2013-02-14,Female,1981-02-07,35,25 - 45,African-American,0,3,0,0,0,-1,2013-02-13 10:36:11,2013-02-15 08:39:33,13002240CF10A,2013-02-13,,1,F,Possession of Cocaine,1,13003788MO10A,(MO3),0,2013-02-23,Prostitution,2013-02-23,2013-03-09,,0,,,,,Risk of Recidivism,3,Low,2013-02-14,Risk of Violence,2,Low,2013-02-14,2013-02-23,2013-03-09,0,1,9,1,1 +2719,ferrell cooper,ferrell,cooper,2014-04-19,Male,1992-11-12,23,Less than 25,African-American,0,4,0,0,1,-1,2014-04-18 04:41:10,2014-04-19 08:57:05,14005432CF10A,2014-04-18,,1,F,Felony Batt(Great Bodily Harm),1,14011577CF10A,(F3),1,2014-08-24,Destroy Damage Alter Elec Monitor Equip,2014-08-25,2015-02-12,,0,,,,,Risk of Recidivism,4,Low,2014-04-19,Risk of Violence,3,Low,2014-04-19,2014-08-25,2015-02-12,1,0,127,1,1 +2720,asael rodriguez,asael,rodriguez,2013-04-01,Male,1974-11-05,41,25 - 45,Hispanic,0,1,0,0,1,-1,2013-03-31 07:44:17,2013-07-23 07:27:00,13004615CF10A,2013-03-31,,1,M,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-03-31,2013-07-23,1,113,1096,0,0 +2721,fandy fleurinord,fandy,fleurinord,2014-08-19,Male,1991-02-12,25,25 - 45,Other,20,10,0,0,24,-1,2014-08-18 10:49:05,2014-08-19 07:37:38,14011300CF10A,,2014-08-18,1,F,arrest case no charge,1,14015651MM10A,(M1),1,2014-09-28,Battery,2014-09-29,2015-02-05,,1,14013123CF10A,(F2),2014-09-28,Aggravated Battery / Pregnant,Risk of Recidivism,10,High,2014-08-19,Risk of Violence,6,Medium,2014-08-19,2014-09-29,2015-02-05,24,0,40,1,1 +2722,miguel rodriguez,miguel,rodriguez,2014-02-11,Male,1980-11-21,35,25 - 45,Hispanic,0,9,1,0,12,-1,2014-02-10 02:02:43,2014-02-20 10:54:05,14001877CF10A,2014-02-10,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-11,Risk of Violence,6,Medium,2014-02-11,2014-02-10,2014-02-20,12,9,780,0,0 +2723,rachard parker,rachard,parker,2013-04-12,Male,1990-09-02,25,25 - 45,African-American,0,6,0,0,4,0,2013-04-12 02:27:28,2013-05-25 08:22:52,13005430CF10A,2013-04-12,,0,F,Crim Use of Personal ID Info,1,13012246CF10A,(M1),0,2013-08-29,Possess Cannabis/20 Grams Or Less,2013-08-29,2015-03-20,,0,,,,,Risk of Recidivism,6,Medium,2013-04-12,Risk of Violence,5,Medium,2013-04-12,2013-08-29,2015-03-20,4,43,139,1,1 +2724,russell pellerito,russell,pellerito,2014-10-22,Male,1946-12-04,69,Greater than 45,Caucasian,0,2,0,0,6,-1,2014-10-21 08:03:42,2014-10-22 08:13:42,14014182CF10A,2014-10-21,,1,F,Driving While License Revoked,1,15041466TC30A,(M2),63,2015-06-01,Unlaw LicTag/Sticker Attach,2015-08-03,2015-08-12,,0,,,,,Risk of Recidivism,2,Low,2014-10-22,Risk of Violence,1,Low,2014-10-22,2015-08-03,2015-08-12,6,0,222,1,1 +2728,wailim ng,wailim,ng,2014-02-27,Male,1991-07-05,24,Less than 25,Asian,0,3,0,0,0,-1,2014-02-26 03:41:51,2014-02-27 08:32:16,14003374MM10A,2014-02-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-27,Risk of Violence,4,Low,2014-02-27,2014-02-26,2014-02-27,0,0,764,0,0 +2730,braxton davis,braxton,davis,2013-08-08,Male,1994-11-13,21,Less than 25,African-American,0,6,0,0,3,34,2013-09-11 04:54:32,2013-11-13 06:42:11,13009258CF10A,2013-07-01,,38,F,Grand Theft (Motor Vehicle),1,13017303MM10A,(M1),0,2013-09-11,Resist/Obstruct W/O Violence,2013-09-11,2013-11-13,,1,15012154CF10A,(F2),2015-08-25,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-08-08,Risk of Violence,6,Medium,2013-08-08,2013-09-11,2013-11-13,3,0,34,1,1 +2731,arturo martinez,arturo,martinez,2013-08-26,Male,1987-10-23,28,25 - 45,Hispanic,0,4,0,0,0,-1,2013-08-25 01:21:23,2013-08-25 08:19:25,13011964CF10A,2013-08-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-26,Risk of Violence,4,Low,2013-08-26,2014-01-22,2014-01-24,0,0,149,0,0 +2732,kenneth archer,kenneth,archer,2013-01-23,Male,1968-08-12,47,Greater than 45,African-American,0,7,0,0,23,-1,2013-01-22 01:33:48,2014-03-01 11:25:40,13001047CF10A,2013-01-22,,1,F,Poss Wep Conv Felon,1,15005860CF10A,(F3),,2014-12-08,Uttering a Forged Instrument,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-23,Risk of Violence,5,Medium,2013-01-23,2013-01-22,2014-03-01,23,402,684,1,1 +2733,louis ramo,louis,ramo,2013-10-24,Male,1957-01-11,59,Greater than 45,Other,0,1,0,0,1,,,,13014470CF10A,2013-10-15,,9,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,,,1,0,890,0,0 +2735,morell jones,morell,jones,2014-12-08,Male,1986-11-22,29,25 - 45,African-American,0,10,1,0,13,0,2014-12-08 12:41:35,2014-12-10 05:10:10,14016327CF10A,2014-12-08,,0,F,Poss Pyrrolidinovalerophenone,1,14016590CF10A,(F3),0,2014-12-14,Resist Officer w/Violence,2014-12-14,2015-11-24,,1,14016590CF10A,(M1),2014-12-14,Battery,Risk of Recidivism,10,High,2014-12-08,Risk of Violence,10,High,2014-12-08,2014-12-14,2015-11-24,13,2,6,1,1 +2736,anthony cirrincione,anthony,cirrincione,2013-08-20,Male,1980-02-01,36,25 - 45,Caucasian,0,4,0,0,14,-38,2013-07-13 05:43:49,2013-07-14 03:34:02,13009851CF10A,2013-07-13,,38,F,Grand Theft in the 3rd Degree,1,14013908MM10A,(M1),0,2014-09-18,Trespass Other Struct/Conve,2014-09-18,2014-09-21,,0,,,,,Risk of Recidivism,4,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2014-09-18,2014-09-21,14,0,394,1,1 +2737,kataruis brantley,kataruis,brantley,2014-03-06,Male,1989-06-19,26,25 - 45,African-American,0,8,0,0,9,-1,2014-03-05 09:51:09,2014-03-08 01:29:05,14003097CF10A,2014-03-05,,1,F,Drivg While Lic Suspd/Revk/Can,1,14004347CF10A,(F2),0,2014-03-27,Armed False Imprisonment,2014-03-27,2014-10-24,,1,14004347CF10A,(F2),2014-03-27,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,8,High,2014-03-06,Risk of Violence,7,Medium,2014-03-06,2014-03-27,2014-10-24,9,2,21,1,1 +2738,lucane jean-baptiste,lucane,jean-baptiste,2014-03-01,Male,1984-09-08,31,25 - 45,Other,0,1,0,0,0,-1,2014-02-28 09:25:17,2014-03-03 04:49:52,14003506MM10A,2014-02-28,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-01,Risk of Violence,1,Low,2014-03-01,2014-02-28,2014-03-03,0,2,762,0,0 +2740,jaqua caddell,jaqua,caddell,2013-04-29,Male,1984-02-29,32,25 - 45,African-American,0,3,0,0,8,35,2013-06-03 10:33:14,2013-06-04 01:18:04,13006131CF10A,2013-04-29,,0,F,Grand Theft in the 3rd Degree,1,13018826MM10A,(M2),0,2013-10-03,Petit Theft,2013-10-03,2014-02-18,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,3,Low,2013-04-29,2013-06-03,2013-06-04,8,0,35,0,1 +2742,cameo dickerson,cameo,dickerson,2014-02-26,Female,1989-01-01,27,25 - 45,Caucasian,0,7,0,0,3,-121,2013-10-28 01:14:59,2014-01-24 07:16:10,10020847CF10A,,2013-10-28,121,F,arrest case no charge,1,15003406CF10A,(F3),1,2015-03-12,False Ownership Info/Pawn Item,2015-03-13,2015-08-20,,0,,,,,Risk of Recidivism,7,Medium,2014-02-26,Risk of Violence,4,Low,2014-02-26,2015-08-20,2020-01-01,3,0,379,1,1 +2745,nicholas lewis,nicholas,lewis,2013-04-07,Male,1987-10-06,28,25 - 45,Caucasian,0,7,0,0,0,0,2013-04-07 02:56:56,2013-04-08 03:59:28,13005001CF10A,2013-04-06,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-07,Risk of Violence,3,Low,2013-04-07,2013-11-29,2013-12-05,0,1,236,0,0 +2746,john mcginnis,john,mcginnis,2013-12-24,Male,1968-04-16,48,Greater than 45,Caucasian,0,1,0,0,1,0,2013-12-24 01:37:02,2013-12-24 07:38:32,13023706MM10A,2013-12-23,,1,M,Driving Under The Influence,1,14001258MM10A,(M1),1,2014-01-22,Resist/Obstruct W/O Violence,2014-01-23,2014-01-23,,0,,,,,Risk of Recidivism,1,Low,2013-12-24,Risk of Violence,1,Low,2013-12-24,2015-05-21,2015-05-22,1,0,29,1,1 +2747,juan montoya,juan,montoya,2013-05-13,Male,1992-11-11,23,Less than 25,Caucasian,0,7,0,0,2,129,2013-09-19 04:31:11,2014-03-02 05:03:12,11019278CF10A,,2012-09-23,232,F,arrest case no charge,1,13013202CF10A,(M1),0,2013-09-19,Misuse Of Wireless 911 System,2013-09-19,2014-03-02,,0,,,,,Risk of Recidivism,7,Medium,2013-05-13,Risk of Violence,7,Medium,2013-05-13,2013-09-19,2014-03-02,2,0,129,1,1 +2748,robert fox,robert,fox,2013-04-19,Male,1971-11-18,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-18 02:39:42,2013-04-18 07:19:45,13007540MM10A,2013-04-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-04-18,0,0,1078,0,0 +2749,carlos zuniga,carlos,zuniga,2013-05-11,Male,1973-08-13,42,25 - 45,African-American,0,5,0,0,7,-1,2013-05-10 07:11:40,2013-05-11 06:30:56,13006749CF10A,2013-05-10,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-11,Risk of Violence,3,Low,2013-05-11,2016-01-19,2016-01-20,7,0,983,0,0 +2750,cedric scott,cedric,scott,2013-05-23,Male,1976-04-24,39,25 - 45,African-American,0,7,0,0,5,-1,2013-05-22 02:25:27,2013-05-26 02:44:47,13007308CF10A,2013-05-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-23,Risk of Violence,4,Low,2013-05-23,2013-06-24,2013-07-04,5,3,32,0,0 +2751,maribell guzman,maribell,guzman,2013-12-18,Female,1969-05-31,46,Greater than 45,Hispanic,0,1,0,0,2,-1,2013-12-17 03:27:50,2013-12-20 07:38:29,13017408CF10A,2013-12-17,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-18,Risk of Violence,1,Low,2013-12-18,2013-12-17,2013-12-20,2,2,835,0,0 +2752,gino rijos,gino,rijos,2013-08-26,Male,1960-06-17,55,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-08-25 06:52:16,2013-09-04 08:36:18,13016258MM10A,2013-08-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-26,Risk of Violence,3,Low,2013-08-26,2013-08-25,2013-09-04,0,9,949,0,0 +2753,anthony myers,anthony,myers,2013-11-09,Male,1988-07-19,27,25 - 45,African-American,0,9,0,0,5,-1,2013-11-08 04:23:08,2013-11-12 10:03:30,13015569CF10A,2013-11-08,,1,F,Burglary Dwelling Occupied,1,15011102CF10A,(F1),,2014-04-03,Burgl Dwel/Struct/Convey Armed,,,,0,,,,,Risk of Recidivism,9,High,2013-11-09,Risk of Violence,4,Low,2013-11-09,2013-11-08,2013-11-12,5,3,145,1,1 +2754,jennifer vitulano,jennifer,vitulano,2013-11-11,Female,1984-10-23,31,25 - 45,Caucasian,0,9,0,0,0,-1,2013-11-10 05:13:10,2013-11-15 03:36:58,13021208MM10A,2013-11-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-11,Risk of Violence,5,Medium,2013-11-11,2013-11-10,2013-11-15,0,4,872,0,0 +2758,jerome traverso,jerome,traverso,2013-09-18,Male,1991-04-06,25,25 - 45,African-American,0,2,0,0,0,-1,2013-09-17 07:20:44,2013-09-18 01:35:06,13013115CF10A,2013-09-17,,1,F,Poss Tetrahydrocannabinols,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-18,Risk of Violence,4,Low,2013-09-18,2013-09-17,2013-09-18,0,0,926,0,0 +2759,andrew millican,andrew,millican,2014-02-06,Male,1984-03-19,32,25 - 45,Caucasian,0,7,0,2,6,0,2014-02-06 04:39:20,2014-02-06 08:49:20,14004843MU10A,2014-02-06,,0,M,Refuse Submit Blood/Breath Test,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-06,Risk of Violence,4,Low,2014-02-06,2014-02-06,2014-02-06,6,0,785,0,0 +2760,frantz pierre,frantz,pierre,2013-03-11,Male,1979-12-03,36,25 - 45,African-American,0,5,0,0,2,-1,2013-03-10 07:15:50,2013-03-11 01:32:19,13003518CF10A,2013-03-10,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-11,Risk of Violence,4,Low,2013-03-11,2013-03-10,2013-03-11,2,0,1117,0,0 +2762,jason gabriel,jason,gabriel,2013-11-10,Male,1994-12-09,21,Less than 25,African-American,0,7,0,0,3,-1,2013-11-09 02:29:56,2013-11-13 09:54:35,13009217CF10A,,2013-11-10,0,F,arrest case no charge,1,15001776MM30A,(M1),,2015-11-01,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-10,Risk of Violence,6,Medium,2013-11-10,2014-01-25,2014-02-01,3,3,76,0,1 +2764,daniel muller,daniel,muller,2013-12-22,Male,1977-03-14,39,25 - 45,Caucasian,0,4,0,0,2,0,2013-12-22 12:50:58,2013-12-22 08:44:32,13023560MM10A,2013-12-21,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-22,Risk of Violence,2,Low,2013-12-22,2013-12-22,2013-12-22,2,0,831,0,0 +2765,andrienna sanchez,andrienna,sanchez,2013-08-01,Female,1989-09-08,26,25 - 45,African-American,0,2,0,0,0,0,2013-08-01 12:06:58,2013-08-01 07:33:02,13014467MM10A,2013-07-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-01,Risk of Violence,2,Low,2013-08-01,2013-08-01,2013-08-01,0,0,974,0,0 +2766,raheim george,raheim,george,2013-03-06,Male,1987-08-21,28,25 - 45,African-American,0,8,0,0,8,0,2013-03-06 02:21:02,2013-03-26 09:13:38,13003363CF10A,2013-03-05,,1,F,Grand Theft in the 3rd Degree,1,13009232CF10A,(F3),,2013-06-27,Grand Theft Firearm,,,,0,,,,,Risk of Recidivism,8,High,2013-03-06,Risk of Violence,7,Medium,2013-03-06,2013-05-29,2014-10-06,8,20,113,1,1 +2767,gary karp,gary,karp,2014-07-07,Male,1948-05-17,67,Greater than 45,Caucasian,0,1,0,0,2,-4,2014-07-03 01:49:24,2014-07-03 08:41:51,14010207MM10A,2014-07-02,,5,M,Refuse Submit Blood/Breath Test,1,14010207MM10A,(M2),,2014-07-16,Driving Under The Influence,,,,0,,,,,Risk of Recidivism,1,Low,2014-07-07,Risk of Violence,1,Low,2014-07-07,2014-07-03,2014-07-03,2,0,9,1,1 +2770,glenika pratt,glenika,pratt,2013-02-01,Female,1993-04-21,22,Less than 25,Other,0,4,0,0,0,-1,2013-01-31 04:40:20,2013-02-02 12:53:20,13001571CF10A,2013-01-31,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,5,Medium,2013-02-01,2013-01-31,2013-02-02,0,1,1155,0,0 +2771,gregory oktavec,gregory,oktavec,2013-04-22,Male,1979-01-31,37,25 - 45,Caucasian,0,1,0,0,3,-1,2013-04-21 07:57:11,2013-04-22 03:57:11,13007680MM10A,2013-04-21,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-21,2013-04-22,3,0,1075,0,0 +2772,brandon mallard,brandon,mallard,2013-02-03,Male,1993-01-15,23,Less than 25,African-American,0,8,0,0,2,-1,2013-02-02 06:32:38,2013-02-04 09:12:27,13002393MM10A,2013-02-02,,1,M,Criminal Mischief,1,13029176TC10A,(M2),,2013-07-07,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-02-03,Risk of Violence,8,High,2013-02-03,2013-02-02,2013-02-04,2,1,154,1,1 +2773,fred hayes,fred,hayes,2014-04-10,Female,1967-02-11,49,Greater than 45,African-American,0,7,0,0,14,-1,2014-04-09 01:43:23,2014-08-09 03:21:34,14006045MM10A,2014-04-09,,1,M,Battery,1,15000176CF10A,(F3),,2014-10-01,Fail to Report Change/Residence,,,,0,,,,,Risk of Recidivism,7,Medium,2014-04-10,Risk of Violence,3,Low,2014-04-10,2014-04-09,2014-08-09,14,121,174,1,1 +2775,terry garrish,terry,garrish,2013-04-14,Male,1983-10-28,32,25 - 45,Caucasian,0,7,0,0,9,0,2013-04-14 12:36:39,2013-04-19 10:22:27,13007176MM10A,2013-04-14,,0,M,Trespass Other Struct/Conve,1,13010880MM10A,(M2),,2013-04-29,Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-14,Risk of Violence,4,Low,2013-04-14,2013-04-14,2013-04-19,9,5,15,1,1 +2776,rico davila,rico,davila,2013-01-12,Male,1975-03-11,41,25 - 45,Caucasian,0,6,0,0,9,-1,2013-01-11 08:17:58,2013-02-13 05:54:09,13000697MM10A,2013-01-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-12,Risk of Violence,2,Low,2013-01-12,2013-01-11,2013-02-13,9,32,1175,0,0 +2777,joe sanders,joe,sanders,2013-04-01,Male,1990-09-01,25,25 - 45,African-American,0,3,0,0,1,0,2013-04-01 01:23:05,2013-04-01 02:19:10,13006198MM10A,2013-03-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-01,Risk of Violence,3,Low,2013-04-01,2013-04-01,2013-04-01,1,0,1096,0,0 +2779,melody odonnell,melody,odonnell,2013-08-23,Female,1959-04-15,57,Greater than 45,Caucasian,0,1,0,0,3,,,,12006701CF10A,2012-05-05,,475,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-23,Risk of Violence,1,Low,2013-08-23,,,3,0,952,0,0 +2780,jaime londono,jaime,londono,2013-12-10,Male,1957-08-18,58,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-09 10:34:54,2013-12-10 01:12:56,13022803MM10A,2013-12-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-09,2013-12-10,0,0,843,0,0 +2782,charles hill,charles,hill,2014-08-20,Male,1971-11-13,44,25 - 45,African-American,2,9,0,0,19,-17,2014-08-03 01:39:31,2014-08-20 11:15:38,14011744MM10A,2014-08-03,,17,M,Battery,1,15002584CF10A,(M1),57,2015-01-07,Aggravated Battery / Pregnant,2015-03-05,2015-05-11,,1,15002584CF10A,(M1),2015-01-07,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2014-08-20,Risk of Violence,6,Medium,2014-08-20,2015-03-05,2015-05-11,19,0,140,1,1 +2786,corey mathis,corey,mathis,2013-05-27,Male,1987-11-21,28,25 - 45,African-American,0,4,0,0,1,0,2013-05-27 12:20:56,2013-06-12 10:12:20,13007555CF10A,2013-05-26,,1,F,Aggrav Stalking After Injunctn,1,15007291MM10A,(M1),0,2015-07-08,Possess Cannabis/20 Grams Or Less,2015-07-08,2015-07-09,,0,,,,,Risk of Recidivism,4,Low,2013-05-27,Risk of Violence,5,Medium,2013-05-27,2015-07-08,2015-07-09,1,16,772,1,0 +2787,amy royer,amy,royer,2013-11-08,Female,1976-09-30,39,25 - 45,African-American,0,5,0,0,0,-1,2013-11-07 03:39:53,2013-11-09 07:36:17,13015521CF10A,2013-11-07,,1,F,Grand Theft in the 3rd Degree,1,14000319MM30A,(M2),,2014-02-06,Petit Theft,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-08,Risk of Violence,2,Low,2013-11-08,2013-11-07,2013-11-09,0,1,90,1,1 +2788,glenn miller,glenn,miller,2013-12-25,Male,1962-03-11,54,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-24 11:18:23,2013-12-31 04:10:32,13017736CF10A,2013-12-24,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-25,Risk of Violence,1,Low,2013-12-25,2013-12-24,2013-12-31,0,6,828,0,0 +2789,justin herrera,justin,herrera,2013-04-14,Male,1994-08-28,21,Less than 25,Hispanic,0,4,0,0,0,657,2015-01-31 08:35:49,2015-03-25 08:41:02,13007134MM10A,2013-04-13,,1,M,Battery,1,15001448CF10A,(M1),0,2015-01-31,Criminal Mischief>$200<$1000,2015-01-31,2015-03-25,,1,15002607MM10A,(M1),2015-01-31,Battery,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,6,Medium,2013-04-14,2015-01-31,2015-03-25,0,0,657,1,1 +2790,francia omana,francia,omana,2013-11-13,Male,1972-09-10,43,25 - 45,Caucasian,0,4,0,0,0,-1,2013-11-12 09:31:37,2013-11-13 03:53:01,13021320MM10A,2013-11-12,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-13,Risk of Violence,1,Low,2013-11-13,2013-11-12,2013-11-13,0,0,870,0,0 +2792,johny dabrezil,johny,dabrezil,2013-09-05,Male,1984-12-12,31,25 - 45,African-American,0,10,0,0,5,0,2013-09-05 01:39:00,2013-09-05 07:44:12,13016952MM10A,2013-09-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-05,Risk of Violence,10,High,2013-09-05,2013-09-05,2013-09-05,5,0,939,0,0 +2793,jerome shaw,jerome,shaw,2013-02-03,Male,1985-05-02,30,25 - 45,African-American,4,10,1,0,11,0,2013-02-03 02:23:20,2013-05-31 05:51:07,13001696CF10A,2013-02-03,,0,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-03,Risk of Violence,9,High,2013-02-03,2013-02-03,2013-05-31,11,117,1153,0,0 +2794,adalberto crespo,adalberto,crespo,2013-10-14,Male,1988-09-17,27,25 - 45,Caucasian,0,4,1,3,4,-1,2013-10-13 03:17:05,2013-10-14 05:58:23,13019395MM10A,2013-10-13,,1,M,Battery,1,14003268MM20A,(M1),,2014-11-05,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-14,Risk of Violence,6,Medium,2013-10-14,2013-10-13,2013-10-14,4,0,387,1,1 +2797,jason mcdonald,jason,mcdonald,2013-12-30,Male,1987-10-18,28,25 - 45,African-American,0,2,0,0,0,-1,2013-12-29 05:26:13,2013-12-30 08:22:11,13023963MM10A,2013-12-29,,1,M,Battery,1,15001319MU10A,(M1),0,2015-01-09,Driving Under The Influence,2015-01-09,2015-01-09,,0,,,,,Risk of Recidivism,2,Low,2013-12-30,Risk of Violence,2,Low,2013-12-30,2015-01-09,2015-01-09,0,0,375,0,1 +2800,emory harden,emory,harden,2013-04-15,Male,1991-10-04,24,Less than 25,African-American,0,7,0,0,0,-1,2013-04-14 10:11:00,2013-04-15 03:52:07,13007185MM10A,2013-04-14,,1,M,Possess Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-15,Risk of Violence,4,Low,2013-04-15,2013-04-14,2013-04-15,0,0,1082,0,0 +2802,nelson zuniga,nelson,zuniga,2014-02-13,Male,1972-05-16,43,25 - 45,Caucasian,0,1,0,0,0,0,2014-02-13 04:10:00,2014-02-13 12:52:46,14005820MU10A,2014-02-13,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2014-02-13,2014-02-13,0,0,778,0,0 +2804,marlon wilks,marlon,wilks,2014-02-26,Male,1972-02-07,44,25 - 45,African-American,0,4,0,0,10,-7,2014-02-19 05:23:30,2014-02-24 08:43:38,14006512MU10A,2014-02-19,,7,M,Driving Under The Influence,1,15005973CF10A,(F3),0,2015-05-07,Poss Pyrrolidinovalerophenone,2015-05-07,2015-05-28,,0,,,,,Risk of Recidivism,4,Low,2014-02-26,Risk of Violence,2,Low,2014-02-26,2015-05-07,2015-05-28,10,0,435,1,1 +2805,tommie johnson,tommie,johnson,2013-08-23,Male,1964-09-13,51,Greater than 45,African-American,0,7,0,0,4,-44,2013-07-10 02:17:57,2013-08-09 08:53:49,13005432CF10A,,2013-07-09,45,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-23,Risk of Violence,6,Medium,2013-08-23,2013-07-10,2013-08-09,4,0,952,0,0 +2807,jeffrey mateo,jeffrey,mateo,2013-03-27,Male,1991-08-30,24,Less than 25,Hispanic,0,10,0,0,11,-15,2013-03-12 11:19:44,2013-03-13 01:53:48,13003630CF10A,2013-03-12,,15,F,Solicit Deliver Cocaine,1,13016634MM10A,(M1),0,2013-08-30,Battery,2013-08-30,2013-11-16,,1,13016634MM10A,(M1),2013-08-30,Battery,Risk of Recidivism,10,High,2013-03-27,Risk of Violence,8,High,2013-03-27,2013-08-30,2013-11-16,11,0,156,1,1 +2808,jose saborit,jose,saborit,2013-01-22,Male,1984-07-19,31,25 - 45,African-American,0,3,0,0,1,309,2013-11-27 09:45:07,2014-07-15 06:07:00,12018175CF10A,2012-12-13,,40,F,Attempt Burglary (Struct),1,16001489MM40A,(M1),,2016-02-26,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,2,Low,2013-01-22,2013-11-27,2014-07-15,1,0,309,0,0 +2809,kensley petit-frere,kensley,petit-frere,2013-01-10,Male,1992-08-16,23,Less than 25,African-American,0,3,0,0,0,-1,2013-01-09 05:06:14,2013-01-11 03:18:41,13000399CF10A,2013-01-09,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,4,Low,2013-01-10,2013-01-09,2013-01-11,0,1,1177,0,0 +2813,franklin green,franklin,green,2014-06-11,Male,1989-11-01,26,25 - 45,African-American,2,10,1,0,8,-85,2014-03-18 08:15:36,2014-06-11 01:10:37,14004699MM10A,2014-03-18,,85,M,Prowling/Loitering,1,15001760CF10A,(F3),0,2015-02-07,Possession Of Alprazolam,2015-02-07,2015-02-07,,1,15010569CF10A,(F3),2015-08-16,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-06-11,Risk of Violence,7,Medium,2014-06-11,2015-02-07,2015-02-07,8,0,241,0,1 +2814,jeremy pulido,jeremy,pulido,2014-10-16,Male,1980-03-05,36,25 - 45,Caucasian,0,3,0,0,5,-1,2014-10-15 12:03:35,2014-10-16 02:21:07,14015093MM10A,2014-10-15,,1,M,Viol Injunct Domestic Violence,1,14014444CF10A,(M1),1,2014-10-26,Possess Drug Paraphernalia,2014-10-27,2014-11-17,,0,,,,,Risk of Recidivism,3,Low,2014-10-16,Risk of Violence,2,Low,2014-10-16,2014-10-27,2014-11-17,5,0,10,1,1 +2817,jonathan waskiw,jonathan,waskiw,2014-01-02,Male,1988-04-23,27,25 - 45,Caucasian,0,9,0,0,1,-1,2014-01-01 04:41:12,2014-01-02 08:10:32,13012717CF10A,,2014-01-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-02,Risk of Violence,7,Medium,2014-01-02,2014-01-01,2014-01-02,1,0,820,0,0 +2819,michael black,michael,black,2013-03-02,Male,1991-09-13,24,Less than 25,African-American,0,10,0,0,0,0,2013-03-02 02:07:15,2013-03-03 09:02:05,13003162CF10A,2013-03-01,,1,F,Felon in Pos of Firearm or Amm,1,14001268MM10A,(M2),0,2014-01-22,Trespass Struct/Conveyance,2014-01-22,2014-01-23,,0,,,,,Risk of Recidivism,10,High,2013-03-02,Risk of Violence,9,High,2013-03-02,2013-05-14,2013-05-18,0,1,73,0,1 +2820,eric tessler,eric,tessler,2013-04-07,Male,1950-01-16,66,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-06 11:23:02,2013-04-07 01:22:00,13006627MM10A,2013-04-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2013-04-06,2013-04-07,0,0,1090,0,0 +2821,courtney robichaud,courtney,robichaud,2013-11-14,Female,1979-04-24,36,25 - 45,Caucasian,0,4,0,1,3,0,2013-11-14 04:58:52,2013-12-09 09:49:51,13015818CF10A,2013-11-14,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-12-16,2013-12-18,3,25,32,0,0 +2824,luis leyba,luis,leyba,2014-11-09,Male,1962-06-12,53,Greater than 45,Hispanic,0,8,0,0,9,-1,2014-11-08 02:17:47,2015-03-18 10:15:00,14015004CF10A,2014-11-08,,1,F,Felony Petit Theft,1,15004532MM10A,(M2),0,2015-03-24,Petit Theft,2015-03-24,2015-07-01,,0,,,,,Risk of Recidivism,8,High,2014-11-09,Risk of Violence,5,Medium,2014-11-09,2015-03-24,2015-07-01,9,129,135,1,1 +2825,dylan fugett,dylan,fugett,2013-02-22,Male,1992-08-08,23,Less than 25,Caucasian,0,3,0,0,1,0,2013-02-22 01:47:49,2013-02-22 09:23:57,13002693CF10A,2013-02-22,,0,F,Possession of Cocaine,1,13006951MM10A,(M1),,2013-03-01,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-22,Risk of Violence,4,Low,2013-02-22,2015-05-15,2015-06-29,1,0,7,1,1 +2828,diamond adamson,diamond,adamson,2014-10-29,Female,1993-07-17,22,Less than 25,African-American,0,7,0,0,0,0,2014-10-29 01:41:40,2014-10-29 07:55:17,14015675MM10A,2014-10-28,,1,M,Battery,1,14100640TC30A,(M2),,2014-11-11,Operating W/O Valid License,,,,1,15003583MM10A,(M1),2015-03-26,Battery,Risk of Recidivism,7,Medium,2014-10-29,Risk of Violence,5,Medium,2014-10-29,2015-03-26,2015-03-29,0,0,13,1,1 +2829,kelvin morales,kelvin,morales,2013-10-06,Male,1990-12-16,25,25 - 45,Hispanic,0,3,0,1,1,-1,2013-10-05 07:50:24,2013-10-06 07:37:01,13013986CF10A,2013-10-05,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-06,Risk of Violence,3,Low,2013-10-06,2013-10-05,2013-10-06,1,0,908,0,0 +2830,roosevelt major,roosevelt,major,2013-02-14,Male,1959-09-04,56,Greater than 45,African-American,0,1,0,0,4,-1,2013-02-13 04:09:26,2013-02-15 05:28:41,13002267CF10A,2013-02-13,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2013-02-13,2013-02-15,4,1,1142,0,0 +2834,jonathan harjo,jonathan,harjo,2013-11-05,Male,1987-03-19,29,25 - 45,Native American,0,2,0,0,1,37,2013-12-12 07:24:22,2014-01-14 08:20:31,13006333CF10A,2013-05-02,,187,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-05,Risk of Violence,2,Low,2013-11-05,2013-12-12,2014-01-14,1,0,37,0,0 +2835,shawn fenner,shawn,fenner,2014-05-15,Male,1986-07-28,29,25 - 45,Caucasian,0,6,0,0,10,-365,2013-05-15 11:29:02,2013-05-20 08:17:53,14001537CF10A,,2014-02-10,94,F,arrest case no charge,1,15012860CF10A,(F3),,2015-08-21,False Ownership Info/Pawn Item,,,,0,,,,,Risk of Recidivism,6,Medium,2014-05-15,Risk of Violence,3,Low,2014-05-15,2013-05-15,2013-05-20,10,0,463,1,1 +2836,xiao ling,xiao,ling,2014-08-02,Male,1964-10-06,51,Greater than 45,Asian,0,1,0,0,1,-1,2014-08-01 05:01:09,2014-08-02 09:04:56,14010413CF10A,,2014-08-01,1,F,arrest case no charge,1,16001147MM40A,(M2),,2016-02-26,No Wholesale/ Retail Dealer Lic,,,,0,,,,,Risk of Recidivism,1,Low,2014-08-02,Risk of Violence,1,Low,2014-08-02,2014-08-01,2014-08-02,1,0,573,1,1 +2837,naomi werman,naomi,werman,2014-02-19,Female,1958-02-24,58,Greater than 45,African-American,0,1,0,0,3,-18,2014-02-01 02:52:11,2014-02-19 11:14:31,13005769MM10A,,2014-02-18,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-19,Risk of Violence,1,Low,2014-02-19,2014-02-01,2014-02-19,3,0,772,0,0 +2841,clayton bigger,clayton,bigger,2013-05-02,Male,1991-11-10,24,Less than 25,Caucasian,0,5,1,2,3,0,2013-05-02 01:33:22,2013-05-02 04:51:19,13008474MM10A,2013-05-02,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-02,Risk of Violence,6,Medium,2013-05-02,2013-05-02,2013-05-02,3,0,1065,0,0 +2842,demetrius coleman,demetrius,coleman,2013-04-12,Male,1993-11-09,22,Less than 25,African-American,0,3,0,0,0,-1,2013-04-11 05:01:46,2013-06-21 05:27:12,13005241CF10A,2013-04-11,,1,F,Burglary Dwelling Armed,1,14014862MM10A,(M1),0,2014-10-10,Battery,2014-10-10,2015-01-15,,1,14014862MM10A,(M1),2014-10-10,Battery,Risk of Recidivism,3,Low,2013-04-12,Risk of Violence,6,Medium,2013-04-12,2014-10-10,2015-01-15,0,70,546,1,1 +2843,william cody,william,cody,2014-01-13,Male,1976-11-11,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-12 07:47:58,2014-01-13 02:23:05,14000575MM10A,2014-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-12,2014-01-13,0,0,809,0,0 +2844,cesar lopez,cesar,lopez,2014-12-12,Male,1996-03-21,20,Less than 25,Hispanic,0,10,0,0,3,-1,2014-12-11 09:23:32,2015-01-22 11:56:41,14016473CF10A,2014-12-11,,1,F,Pos Cannabis W/Intent Sel/Del,1,15015704CF10A,(F3),,2015-12-07,Pos Cannabis W/Intent Sel/Del,,,,0,,,,,Risk of Recidivism,10,High,2014-12-12,Risk of Violence,10,High,2014-12-12,2015-04-01,2015-04-03,3,41,110,0,1 +2845,earl heath,earl,heath,2014-02-25,Male,1969-08-04,46,Greater than 45,Caucasian,0,7,0,0,10,-1,2014-02-24 03:50:34,2014-05-08 06:32:26,13014578CF10A,,2014-02-24,1,F,arrest case no charge,1,15011605MM10A,(M2),0,2015-11-04,Ped Obstruct Traf/No Permit Sol,2015-11-04,2015-11-09,,0,,,,,Risk of Recidivism,7,Medium,2014-02-25,Risk of Violence,5,Medium,2014-02-25,2015-11-04,2015-11-09,10,288,617,1,1 +2846,jimmy iakovakis,jimmy,iakovakis,2013-08-19,Male,1977-10-31,38,25 - 45,Caucasian,0,1,0,0,1,-27,2013-07-23 11:40:27,2013-07-24 07:27:47,13010314CF10A,2013-07-23,,27,F,Possession Of Methamphetamine,1,14011170MM10A,(M1),0,2014-07-22,Criminal Mischief>$200<$1000,2014-07-22,2014-08-05,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-10-28,2013-11-11,1,0,70,0,1 +2848,garrick crawford,garrick,crawford,2013-12-15,Male,1992-11-04,23,Less than 25,Caucasian,0,8,0,0,0,0,2013-12-15 05:17:34,2013-12-18 06:00:00,13023226MM10A,2013-12-15,,0,M,Viol Pretrial Release Dom Viol,1,14002300CF10A,(F2),0,2014-02-18,Robbery / No Weapon,2014-02-18,2014-03-21,,1,14002300CF10A,(F2),2014-02-18,Robbery / No Weapon,Risk of Recidivism,8,High,2013-12-15,Risk of Violence,9,High,2013-12-15,2014-02-18,2014-03-21,0,3,65,1,1 +2851,yves exilus,yves,exilus,2014-02-02,Male,1977-01-01,39,25 - 45,Other,0,5,0,0,6,-1,2014-02-01 07:53:55,2014-02-27 09:58:59,14001446CF10A,2014-02-01,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-02,Risk of Violence,1,Low,2014-02-02,2014-02-01,2014-02-27,6,25,789,0,0 +2852,jeffrey joseph,jeffrey,joseph,2013-09-19,Male,1990-09-25,25,25 - 45,African-American,0,8,0,0,0,0,2013-09-19 04:53:03,2013-09-21 01:36:58,13013235CF10A,2013-09-19,,0,F,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-19,Risk of Violence,6,Medium,2013-09-19,2014-05-16,2014-07-31,0,2,239,0,0 +2854,cedric james,cedric,james,2014-03-16,Male,1984-11-01,31,25 - 45,African-American,0,9,0,0,19,-1,2014-03-15 06:33:25,2014-03-16 02:03:17,14003673CF10A,2014-03-15,,1,F,Driving While License Revoked,1,14015560TC10A,(M2),0,2014-04-15,Operating W/O Valid License,2014-04-15,2014-04-15,,0,,,,,Risk of Recidivism,9,High,2014-03-16,Risk of Violence,9,High,2014-03-16,2014-04-15,2014-04-15,19,0,30,0,1 +2855,brittany burrows,brittany,burrows,2014-11-22,Female,1991-02-16,25,25 - 45,African-American,0,3,0,0,1,-1,2014-11-21 11:11:30,2014-11-22 08:51:38,14016640MM10A,2014-11-21,,1,M,Battery,1,16000738MM40A,(M1),,2016-01-26,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2014-11-22,Risk of Violence,3,Low,2014-11-22,2014-11-21,2014-11-22,1,0,430,1,1 +2856,marcus harvey,marcus,harvey,2013-08-22,Male,1990-03-17,26,25 - 45,African-American,0,6,0,0,6,-1,2013-08-21 12:18:44,2013-08-23 04:24:07,13011858CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2013-08-21,2013-08-23,6,1,953,0,0 +2857,shivaughn barrett,shivaughn,barrett,2013-01-08,Male,1990-09-07,25,25 - 45,African-American,0,9,0,1,2,-1,2013-01-07 07:36:11,2013-10-08 11:00:00,13000269CF10A,2013-01-07,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-08,Risk of Violence,8,High,2013-01-08,2014-06-06,2014-07-10,2,273,514,0,0 +2859,allen vlado,allen,vlado,2014-02-06,Male,1979-03-03,37,25 - 45,Caucasian,0,8,0,0,11,0,2014-02-06 03:06:50,2014-02-07 03:35:47,14001725CF10A,2014-02-06,,0,F,Driving While License Revoked,1,14051468TC40A,(M2),,2014-07-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2014-02-06,Risk of Violence,2,Low,2014-02-06,2014-02-06,2014-02-07,11,1,161,1,1 +2860,ricardo sinclair,ricardo,sinclair,2013-12-09,Male,1979-12-26,36,25 - 45,African-American,0,1,0,0,0,-3,2013-12-06 05:42:25,2013-12-07 02:22:24,13016913CF10A,2013-12-06,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,2014-11-19,2014-11-26,0,0,345,0,0 +2862,lester lueyoung,lester,lueyoung,2013-03-20,Male,1990-01-25,26,25 - 45,African-American,0,6,0,0,1,0,2013-03-20 05:00:24,2013-03-21 02:39:41,13004044CF10A,2013-03-19,,1,F,Pos Cannabis W/Intent Sel/Del,1,13010840CF10A,(M2),0,2013-08-04,Unlaw LicTag/Sticker Attach,2013-08-04,2013-09-23,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,7,Medium,2013-03-20,2013-08-04,2013-09-23,1,1,137,1,1 +2863,giovanni shaw,giovanni,shaw,2014-11-12,Male,1994-05-07,21,Less than 25,Other,0,2,2,0,3,-1,2014-11-11 09:06:05,2014-11-12 01:13:40,14015144CF10A,2014-11-11,,1,F,Grand Theft in the 3rd Degree,1,14015690CF10A,(F3),0,2014-11-21,Grand Theft in the 3rd Degree,2014-11-21,2014-11-21,,0,,,,,Risk of Recidivism,2,Low,2014-11-12,Risk of Violence,4,Low,2014-11-12,2014-11-21,2014-11-21,3,0,9,0,1 +2864,benjamin sapp,benjamin,sapp,2013-10-02,Male,1981-01-20,35,25 - 45,African-American,0,4,0,0,7,-23,2013-09-09 02:47:53,2013-09-09 07:07:40,13012753CF10A,2013-09-08,,24,F,Resist Officer w/Violence,1,14016290MM10A,(M1),0,2014-11-13,Battery,2014-11-13,2014-11-14,,1,14016290MM10A,(M1),2014-11-13,Battery,Risk of Recidivism,4,Low,2013-10-02,Risk of Violence,2,Low,2013-10-02,2014-11-13,2014-11-14,7,0,407,1,1 +2865,jovaughn walker,jovaughn,walker,2013-08-21,Male,1994-02-20,22,Less than 25,African-American,0,4,0,0,2,-1,2013-08-20 11:12:08,2013-08-22 07:39:05,13011708CF10A,2013-08-20,,1,F,Crim Use of Personal ID Info,1,14020971TC10A,(M2),0,2014-06-05,Unlaw LicTag/Sticker Attach,2014-06-05,2014-06-06,,1,16002969CF10A,(F3),2016-02-07,Aggravated Assault,Risk of Recidivism,4,Low,2013-08-21,Risk of Violence,6,Medium,2013-08-21,2014-06-05,2014-06-06,2,1,288,1,1 +2867,antonio monero,antonio,monero,2013-05-11,Male,1990-08-23,25,25 - 45,Caucasian,0,2,0,0,0,0,2013-05-11 01:13:34,2013-05-11 06:35:21,13006746CF10A,2013-05-10,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-11,Risk of Violence,3,Low,2013-05-11,2013-05-11,2013-05-11,0,0,1056,0,0 +2868,phillip rasskazov,phillip,rasskazov,2013-01-12,Male,1991-08-24,24,Less than 25,Caucasian,0,7,0,0,0,,,,13000699MM10A,2013-01-11,,1,M,Crim Attempt/Solicit/Consp,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-12,Risk of Violence,4,Low,2013-01-12,,,0,0,1175,0,0 +2869,domingo alonzo,domingo,alonzo,2013-11-12,Male,1979-10-25,36,25 - 45,Hispanic,0,1,0,0,0,-7,2013-11-05 07:01:36,2013-11-06 08:05:18,13020898MM10A,2013-11-05,,7,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-12,Risk of Violence,1,Low,2013-11-12,2013-11-05,2013-11-06,0,0,871,0,0 +2870,makeel stevens,makeel,stevens,2013-01-15,Male,1991-12-30,24,Less than 25,African-American,0,7,0,0,2,-1,2013-01-14 11:05:52,2013-01-26 12:04:24,13002145TC10A,2013-01-14,,1,M,Susp Drivers Lic 1st Offense,1,13023353MM10A,(M1),0,2013-11-25,Possess Cannabis/20 Grams Or Less,2013-11-25,2013-11-26,,1,14007409CF10A,(F3),2014-05-28,Aggravated Assault w/Firearm,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,7,Medium,2013-01-15,2013-01-30,2013-01-31,2,11,15,0,1 +2871,dewayne luke,dewayne,luke,2013-03-15,Male,1994-10-20,21,Less than 25,African-American,0,9,0,1,0,-1,2013-03-14 12:34:24,2013-03-15 07:44:17,13003787CF10A,2013-03-14,,1,F,Grand Theft in the 3rd Degree,1,15000335CF10A,(F2),,2014-10-15,Burglary Dwelling Occupied,,,,0,,,,,Risk of Recidivism,9,High,2013-03-15,Risk of Violence,9,High,2013-03-15,2015-11-03,2020-01-01,0,0,579,1,1 +2873,keith sayers,keith,sayers,2013-11-22,Male,1983-06-21,32,25 - 45,Caucasian,2,9,0,1,15,-1,2013-11-21 07:42:06,2014-01-31 05:11:17,13016157CF10A,2013-11-21,,1,F,Possession of Cocaine,1,16000380MM20A,(M1),,2016-01-19,Trespass Struct/Convey Occupy,,,,0,,,,,Risk of Recidivism,9,High,2013-11-22,Risk of Violence,6,Medium,2013-11-22,2014-02-26,2014-05-20,15,70,96,0,1 +2874,gorvens sene,gorvens,sene,2013-05-12,Male,1983-02-23,33,25 - 45,African-American,0,2,0,0,2,0,2013-05-12 12:11:31,2013-05-12 07:36:13,13009126MM10A,2013-05-11,,1,M,Battery,1,14038308TC30A,(M2),,2014-04-24,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-12,Risk of Violence,2,Low,2013-05-12,2013-05-12,2013-05-12,2,0,347,1,1 +2875,benson lorfils,benson,lorfils,2014-02-04,Male,1982-08-06,33,25 - 45,African-American,0,9,0,0,10,0,2014-02-04 02:43:48,2014-02-06 09:29:26,14001587CF10A,2014-02-04,,0,F,Possession of Cocaine,1,14050546TC20A,(M2),,2014-07-14,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2014-02-04,Risk of Violence,6,Medium,2014-02-04,2014-02-04,2014-02-06,10,2,160,1,1 +2876,jazzie johnson,jazzie,johnson,2014-02-20,Female,1992-10-15,23,Less than 25,African-American,0,8,0,0,4,-56,2013-12-26 01:41:36,2014-02-07 07:21:00,13017783CF10A,,2014-01-31,20,M,arrest case no charge,1,15007832CF10A,(F3),0,2015-06-17,Grand Theft (Motor Vehicle),2015-06-17,2015-07-02,,0,,,,,Risk of Recidivism,8,High,2014-02-20,Risk of Violence,7,Medium,2014-02-20,2015-06-17,2015-07-02,4,0,482,1,1 +2879,kyle sharp,kyle,sharp,2013-07-08,Male,1986-12-22,29,25 - 45,Caucasian,0,3,0,0,0,-2,2013-07-06 01:44:27,2013-07-07 01:34:55,13012829MM10A,2013-07-05,,3,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-08,Risk of Violence,1,Low,2013-07-08,2013-07-06,2013-07-07,0,0,998,0,0 +2880,chad hohle,chad,hohle,2013-09-16,Male,1965-05-14,50,Greater than 45,Caucasian,0,3,0,0,8,-1,2013-09-15 11:12:24,2014-03-07 03:16:00,13013027CF10A,2013-09-15,,1,F,DWI w/Inj Susp Lic / Habit Off,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-16,Risk of Violence,2,Low,2013-09-16,2013-09-15,2014-03-07,8,172,928,0,0 +2882,jason cuccio,jason,cuccio,2013-01-10,Male,1983-09-21,32,25 - 45,Caucasian,0,5,0,0,5,272,2013-10-09 10:58:30,2013-10-16 01:45:50,09018641CF10A,,2012-12-26,15,F,arrest case no charge,1,13019187MM10A,(M1),0,2013-10-09,Possess Drug Paraphernalia,2013-10-09,2013-10-16,,0,,,,,Risk of Recidivism,5,Medium,2013-01-10,Risk of Violence,3,Low,2013-01-10,2013-10-09,2013-10-16,5,0,272,1,1 +2883,rohan anderson,rohan,anderson,2014-08-01,Male,1982-07-28,33,25 - 45,African-American,0,8,0,0,14,-1,2014-07-31 07:35:55,2014-08-02 09:05:07,14010451CF10A,2014-07-31,,1,F,Driving While License Revoked,1,15000900MM10A,(M2),0,2015-01-23,Trespass Struct/Conveyance,2015-01-23,2015-01-23,,0,,,,,Risk of Recidivism,8,High,2014-08-01,Risk of Violence,5,Medium,2014-08-01,2015-01-08,2015-01-16,14,1,160,0,1 +2885,sherman bynes,sherman,bynes,2013-10-17,Male,1978-10-16,37,25 - 45,African-American,0,8,1,0,13,-1,2013-10-16 07:57:16,2013-10-17 07:41:29,13014481CF10A,2013-10-16,,1,F,Agg Battery Grt/Bod/Harm,1,14005115MM10A,(M1),,2014-02-26,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-10-17,Risk of Violence,9,High,2013-10-17,2014-03-30,2014-03-31,13,0,132,1,1 +2886,craig whitmour,craig,whitmour,2014-05-13,Male,1988-11-23,27,25 - 45,African-American,0,7,0,0,9,-1,2014-05-12 01:24:43,2014-06-05 09:17:42,14006616CF10A,2014-05-12,,1,F,Burglary Unoccupied Dwelling,1,15005294CF10A,(F3),0,2015-04-22,Possession of Cannabis,2015-04-22,2015-04-24,,0,,,,,Risk of Recidivism,7,Medium,2014-05-13,Risk of Violence,5,Medium,2014-05-13,2015-04-22,2015-04-24,9,23,344,1,1 +2887,antonio lightbourn,antonio,lightbourn,2013-04-29,Male,1988-07-19,27,25 - 45,African-American,0,1,0,0,0,-1,2013-04-28 08:51:15,2013-04-29 12:45:59,13008159MM10A,2013-04-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,2,Low,2013-04-29,2013-04-28,2013-04-29,0,0,1068,0,0 +2890,sandra thomas,sandra,thomas,2014-03-10,Female,1964-02-24,52,Greater than 45,African-American,0,7,0,0,21,123,2014-07-11 12:43:50,2014-07-31 11:35:41,13011467CF10A,2013-08-15,,207,F,Felony Petit Theft,1,14012625MM10A,(M1),0,2014-08-21,Petit Theft $100- $300,2014-08-21,2014-09-30,,0,,,,,Risk of Recidivism,7,Medium,2014-03-10,Risk of Violence,1,Low,2014-03-10,2014-07-11,2014-07-31,21,0,123,0,1 +2891,gerald pena,gerald,pena,2013-02-16,Male,1994-04-20,21,Less than 25,Hispanic,0,5,0,0,1,-1,2013-02-15 11:10:37,2013-02-16 01:18:11,13003330MM10A,2013-02-15,,1,M,Possess Cannabis/20 Grams Or Less,1,14015184MO10A,(MO3),0,2014-10-18,Loitering/Prowling,2014-10-18,2014-10-19,,1,15006218MM10A,(M1),2015-06-07,Battery,Risk of Recidivism,5,Medium,2013-02-16,Risk of Violence,5,Medium,2013-02-16,2014-10-18,2014-10-19,1,0,609,1,1 +2892,edward tuck,edward,tuck,2013-05-19,Male,1958-03-18,58,Greater than 45,African-American,0,1,0,0,1,-1,2013-05-18 08:22:32,2013-07-18 08:18:26,12001737CF10A,,2013-05-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-19,Risk of Violence,1,Low,2013-05-19,2013-05-18,2013-07-18,1,60,1048,0,0 +2893,branden tyler,branden,tyler,2013-03-12,Male,1989-01-22,27,25 - 45,African-American,0,8,0,0,4,-1,2013-03-11 08:04:33,2013-04-13 08:56:18,13003596CF10A,2013-03-11,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-12,Risk of Violence,5,Medium,2013-03-12,2013-03-11,2013-04-13,4,32,1116,0,0 +2896,william flood,william,flood,2014-06-15,Male,1988-01-19,28,25 - 45,African-American,0,4,0,0,5,302,2015-04-13 05:53:58,2015-05-11 11:31:24,14008249CF10A,2014-06-14,,1,F,Aggravated Assault W/o Firearm,1,14092364TC30A,(M2),156,2014-11-08,Operating W/O Valid License,2015-04-13,2015-05-11,,0,,,,,Risk of Recidivism,4,Low,2014-06-15,Risk of Violence,3,Low,2014-06-15,2015-07-06,2015-11-11,5,0,146,1,1 +2897,timothy mccann,timothy,mccann,2013-10-01,Male,1987-05-07,28,25 - 45,Caucasian,0,7,0,0,1,-1,2013-09-30 06:15:51,2013-10-31 02:34:18,13013705CF10A,2013-09-30,,1,F,Possession of Cocaine,1,13022834MM10A,(M1),0,2013-12-10,Unlaw Use False Name/Identity,2013-12-10,2014-01-03,,0,,,,,Risk of Recidivism,7,Medium,2013-10-01,Risk of Violence,4,Low,2013-10-01,2013-12-10,2014-01-03,1,30,70,1,1 +2898,melissa mccaffery,melissa,mccaffery,2013-06-05,Female,1984-06-17,31,25 - 45,Caucasian,0,3,0,0,0,-5,2013-05-31 11:07:01,2013-06-01 08:46:14,13010493MM10A,2013-05-31,,5,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-05,Risk of Violence,2,Low,2013-06-05,2013-05-31,2013-06-01,0,0,1031,0,0 +2899,alan gray,alan,gray,2013-08-13,Male,1986-02-25,30,25 - 45,Caucasian,0,9,1,0,11,31,2013-09-13 07:21:40,2013-10-23 10:03:00,11002011CF10A,,2013-06-05,69,F,arrest case no charge,1,13012935CF10A,(F2),0,2013-09-13,Burglary Dwelling Occupied,2013-09-13,2013-10-23,,0,,,,,Risk of Recidivism,9,High,2013-08-13,Risk of Violence,9,High,2013-08-13,2013-09-13,2013-10-23,11,0,31,1,1 +2900,franck dozil,franck,dozil,2013-01-21,Male,1991-11-24,24,Less than 25,African-American,0,7,0,0,3,-1,2013-01-20 11:28:26,2013-01-27 02:04:07,12014745MM10A,,2013-01-20,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-21,Risk of Violence,7,Medium,2013-01-21,2013-01-20,2013-01-27,3,6,1166,0,0 +2901,gregory campbell,gregory,campbell,2013-03-23,Male,1989-09-01,26,25 - 45,African-American,0,9,0,0,6,0,2013-03-23 03:31:15,2013-04-10 05:03:02,13004218CF10A,2013-03-23,,0,F,Possession of Cannabis,1,13005738CF10A,(M1),0,2013-04-22,Resist/Obstruct W/O Violence,2013-04-22,2014-08-28,,0,,,,,Risk of Recidivism,9,High,2013-03-23,Risk of Violence,9,High,2013-03-23,2013-04-22,2014-08-28,6,18,30,1,1 +2902,robert hecht,robert,hecht,2013-10-09,Male,1972-07-14,43,25 - 45,Caucasian,0,1,0,0,0,-1,2013-10-08 05:27:12,2013-10-09 08:26:03,13019124MM10A,2013-10-08,,1,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-09,Risk of Violence,1,Low,2013-10-09,2013-10-08,2013-10-09,0,0,905,0,0 +2903,camill anthony,camill,anthony,2014-03-28,Male,1984-11-26,31,25 - 45,African-American,0,1,0,1,2,-43,2014-02-13 01:34:53,2014-03-28 09:53:37,14002075CF10A,2014-02-12,,44,F,Crim Use of Personal ID Info,1,15077871TC30A,(M2),,2015-11-21,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-28,Risk of Violence,3,Low,2014-03-28,2014-02-13,2014-03-28,2,0,603,1,1 +2907,devonte hughes,devonte,hughes,2013-10-07,Male,1993-07-23,22,Less than 25,African-American,0,6,0,0,3,0,2013-10-07 12:36:51,2013-10-09 05:46:12,13014007CF10A,2013-10-06,,1,F,Felony Batt(Great Bodily Harm),1,14015557CF10A,(F3),0,2014-11-18,Uttering a Forged Instrument,2014-11-18,2015-05-12,,0,,,,,Risk of Recidivism,6,Medium,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-10-24,2013-11-15,3,2,17,0,1 +2908,breon barnes,breon,barnes,2013-08-27,Male,1993-01-11,23,Less than 25,African-American,0,5,0,0,0,-1,2013-08-26 03:02:44,2013-08-29 04:55:55,13012043CF10A,2013-08-26,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-27,Risk of Violence,6,Medium,2013-08-27,2014-08-29,2014-12-26,0,2,367,0,0 +2910,sergio garcia,sergio,garcia,2013-10-16,Male,1974-02-13,42,25 - 45,Caucasian,0,4,0,0,0,-1,2013-10-15 10:30:48,2013-10-16 08:02:49,13019573MM10A,2013-10-15,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-16,Risk of Violence,1,Low,2013-10-16,2013-10-15,2013-10-16,0,0,898,0,0 +2911,shrieff poole,shrieff,poole,2014-08-14,Male,1981-05-14,34,25 - 45,African-American,0,2,0,0,0,,,,08022579MO10A,,2009-10-05,1774,M,arrest case no charge,1,14003292MM20A,(M1),,2014-11-29,Battery,,,,1,14003292MM20A,(M1),2014-11-29,Battery,Risk of Recidivism,2,Low,2014-08-14,Risk of Violence,2,Low,2014-08-14,,,0,0,107,1,1 +2913,jeremiah jennings,jeremiah,jennings,2013-08-19,Male,1985-09-11,30,25 - 45,African-American,0,10,3,0,18,-1,2013-08-18 07:29:15,2013-09-05 04:16:47,13015618MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-19,Risk of Violence,8,High,2013-08-19,2015-03-03,2015-03-09,18,17,561,0,0 +2914,terell rogers,terell,rogers,2013-01-09,Male,1986-08-13,29,25 - 45,African-American,0,9,0,0,1,-1,2013-01-08 06:02:56,2013-10-25 08:31:58,13000322CF10A,2013-01-08,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-09,Risk of Violence,7,Medium,2013-01-09,2013-01-08,2013-10-25,1,289,1178,0,0 +2915,brent spoonemore,brent,spoonemore,2013-08-01,Male,1977-12-10,38,25 - 45,Caucasian,0,4,0,0,2,0,2013-08-01 12:26:41,2013-09-18 09:20:36,13010290CF10A,,2013-08-01,0,F,arrest case no charge,1,13014918CF10A,(M2),0,2013-10-25,Trespass Struct/Conveyance,2013-10-25,2013-12-13,,0,,,,,Risk of Recidivism,4,Low,2013-08-01,Risk of Violence,2,Low,2013-08-01,2013-10-25,2013-12-13,2,48,85,1,1 +2917,kevin walsh,kevin,walsh,2013-04-15,Male,1989-06-12,26,25 - 45,Caucasian,0,4,0,1,3,-4,2013-04-11 01:25:44,2013-04-13 08:03:53,13007508MM10A,2013-04-11,,4,M,Petit Theft $100- $300,1,16000938MM40A,(M2),,2016-02-03,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-15,Risk of Violence,4,Low,2013-04-15,2013-07-29,2013-10-22,3,0,105,0,0 +2918,jessica sanchez,jessica,sanchez,2013-08-08,Female,1990-05-04,25,25 - 45,Hispanic,0,6,0,0,4,-107,2013-04-23 03:57:21,2013-05-29 06:57:52,13005811CF10A,,2013-04-23,107,F,arrest case no charge,1,14004055MM10A,(M2),0,2014-03-09,Petit Theft,2014-03-09,2014-06-18,,0,,,,,Risk of Recidivism,6,Medium,2013-08-08,Risk of Violence,5,Medium,2013-08-08,2014-03-09,2014-06-18,4,0,213,1,1 +2922,anthony dees,anthony,dees,2013-02-22,Male,1965-02-19,51,Greater than 45,African-American,0,7,0,0,5,0,2013-02-22 12:10:28,2013-02-27 05:48:51,11046593TC10A,2011-09-18,,523,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-22,Risk of Violence,5,Medium,2013-02-22,2013-02-22,2013-02-27,5,5,1134,0,0 +2923,danue walker,danue,walker,2013-08-01,Male,1979-06-11,36,25 - 45,Other,0,1,0,0,0,0,2013-08-01 12:11:18,2013-08-01 08:31:19,13014475MM10A,2013-07-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-08-01,2013-08-01,0,0,974,0,0 +2925,tyrone reyna,tyrone,reyna,2013-11-06,Male,1953-06-25,62,Greater than 45,Hispanic,0,1,0,0,0,-2,2013-11-04 01:53:24,2013-11-05 07:23:37,13020735MM10A,2013-11-03,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-06,Risk of Violence,1,Low,2013-11-06,2013-11-04,2013-11-05,0,0,877,0,0 +2926,jerard palacious,jerard,palacious,2014-09-12,Male,1992-11-26,23,Less than 25,African-American,0,3,0,0,0,0,2014-09-12 02:05:28,2014-09-12 09:11:44,14012442CF10A,2014-09-11,,1,F,Grand Theft (Motor Vehicle),1,15001685CF10A,(M2),0,2015-02-05,Susp Drivers Lic 1st Offense,2015-02-05,2015-02-06,,0,,,,,Risk of Recidivism,3,Low,2014-09-12,Risk of Violence,4,Low,2014-09-12,2015-02-05,2015-02-06,0,0,146,1,1 +2927,richard samuels,richard,samuels,2013-04-09,Male,1982-01-02,34,25 - 45,African-American,0,5,0,0,7,-1,2013-04-08 09:28:22,2013-04-09 02:03:40,13001058CF10A,,2013-04-08,1,F,arrest case no charge,1,13018606MM10A,(M1),0,2013-09-30,Possess Cannabis/20 Grams Or Less,2013-09-30,2013-10-01,,0,,,,,Risk of Recidivism,5,Medium,2013-04-09,Risk of Violence,3,Low,2013-04-09,2013-09-30,2013-10-01,7,0,174,1,1 +2928,rashaad davis,rashaad,davis,2014-02-26,Male,1980-12-31,35,25 - 45,African-American,0,2,0,0,1,-1,2014-02-25 02:40:00,2014-02-26 09:09:55,10077131TC30A,2010-07-17,,1320,M,Violation License Restrictions,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2014-02-25,2014-02-26,1,0,765,0,0 +2929,andres carmona,andres,carmona,2013-05-24,Male,1994-02-05,22,Less than 25,Caucasian,0,3,0,0,0,0,2013-05-24 04:43:42,2013-05-28 02:26:27,13007417CF10A,2013-05-24,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-24,Risk of Violence,5,Medium,2013-05-24,2013-09-09,2013-10-23,0,4,108,0,0 +2930,michael yates,michael,yates,2013-01-12,Male,1986-10-28,29,25 - 45,African-American,0,10,0,0,10,-1,2013-01-11 09:11:26,2013-04-30 02:02:16,13000683MM10A,2013-01-11,,1,M,Assault,1,14003239CF10A,(F2),44,2014-01-22,Deliver Cocaine,2014-03-07,2014-08-28,,0,,,,,Risk of Recidivism,10,High,2013-01-12,Risk of Violence,8,High,2013-01-12,2013-06-07,2013-11-26,10,108,146,0,1 +2931,maxim ambroise,maxim,ambroise,2013-08-05,Male,1976-03-24,40,25 - 45,African-American,0,2,0,0,0,-3,2013-08-02 07:56:17,2013-08-03 08:03:57,13010927CF10A,2013-08-02,,3,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2013-08-02,2013-08-03,0,0,970,0,0 +2932,john sirmons,john,sirmons,2014-02-06,Male,1979-06-13,36,25 - 45,African-American,0,2,0,0,2,0,2014-02-06 06:31:29,2014-02-07 04:00:17,14001690CF10A,2014-02-06,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-02-06,2014-02-07,2,1,785,0,0 +2933,shamik davis,shamik,davis,2013-03-20,Male,1989-10-27,26,25 - 45,African-American,0,8,0,0,8,0,2013-03-20 01:21:38,2013-03-20 07:46:24,13002703CF10A,,2013-03-20,0,F,arrest case no charge,1,13016783MM10A,(M2),0,2013-07-28,Petit Theft,2013-07-28,2013-12-02,,0,,,,,Risk of Recidivism,8,High,2013-03-20,Risk of Violence,5,Medium,2013-03-20,2013-07-28,2013-12-02,8,0,130,1,1 +2934,daniel levy,daniel,levy,2013-07-22,Male,1991-01-26,25,25 - 45,African-American,0,3,0,0,1,-23,2013-06-29 02:51:35,2013-06-30 02:38:48,13009185CF10A,2013-06-29,,23,F,Burglary Structure Unoccup,1,13020438MM10A,(M1),,2013-09-12,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-22,Risk of Violence,4,Low,2013-07-22,2016-02-23,2016-02-23,1,0,52,1,1 +2935,robert jacob,robert,jacob,2013-07-10,Male,1947-02-09,69,Greater than 45,Caucasian,0,1,0,0,0,-3,2013-07-07 11:26:52,2013-07-08 08:36:55,13012874MM10A,2013-07-07,,3,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-10,Risk of Violence,1,Low,2013-07-10,2013-07-07,2013-07-08,0,0,996,0,0 +2936,fabrice alexandre,fabrice,alexandre,2014-01-25,Male,1988-10-02,27,25 - 45,African-American,0,4,1,0,1,-1,2014-01-24 04:31:18,2014-02-01 04:57:27,14001056CF10A,2014-01-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-25,Risk of Violence,3,Low,2014-01-25,2014-01-24,2014-02-01,1,7,797,0,0 +2937,luke hanner,luke,hanner,2013-08-26,Male,1995-04-30,20,Less than 25,Caucasian,0,5,0,0,0,0,2013-08-26 01:19:26,2013-08-27 07:23:27,13012021CF10A,2013-08-26,,0,F,Grand Theft in the 3rd Degree,1,13021292MM10A,(M1),0,2013-11-12,Trespass Other Struct/Convey,2013-11-12,2013-12-04,,0,,,,,Risk of Recidivism,5,Medium,2013-08-26,Risk of Violence,9,High,2013-08-26,2013-11-12,2013-12-04,0,1,78,1,1 +2938,eric alston,eric,alston,2013-10-04,Male,1988-05-01,27,25 - 45,African-American,0,1,0,0,1,-2,2013-10-02 03:21:20,2013-10-04 12:05:39,13013849CF10A,2013-10-02,,2,F,Throw Deadly Missile Into Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,2,Low,2013-10-04,2014-04-10,2014-04-11,1,0,188,0,0 +2939,monica mompremier,monica,mompremier,2013-01-31,Female,1991-04-22,24,Less than 25,African-American,0,6,0,0,6,-1,2013-01-30 07:28:56,2013-12-06 07:37:33,11005074MM10B,,2013-01-30,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-31,Risk of Violence,7,Medium,2013-01-31,2015-01-12,2015-04-21,6,309,711,0,0 +2943,yuli gurlanik,yuli,gurlanik,2013-07-17,Male,1973-10-04,42,25 - 45,Caucasian,0,1,0,0,0,-7,2013-07-10 08:16:29,2013-07-13 03:05:27,13009676CF10A,2013-07-10,,7,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-17,Risk of Violence,1,Low,2013-07-17,2013-07-10,2013-07-13,0,0,989,0,0 +2946,juan guacaneme,juan,guacaneme,2013-10-16,Male,1990-10-06,25,25 - 45,Caucasian,0,3,0,0,1,-1,2013-10-15 04:42:54,2013-10-16 11:36:39,13014417CF10A,2013-10-15,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-16,Risk of Violence,2,Low,2013-10-16,2014-09-09,2014-09-10,1,0,328,0,0 +2949,boyd duguay,boyd,duguay,2013-04-03,Male,1969-10-15,46,Greater than 45,Caucasian,0,1,0,0,1,-37,2013-02-25 10:21:54,2013-03-27 02:02:28,13002638CF10A,,2013-02-25,37,F,arrest case no charge,1,14002763MM10A,(M1),89,2014-01-31,Theft/To Deprive,2014-04-30,2014-08-26,,0,,,,,Risk of Recidivism,1,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2013-07-14,2013-09-06,1,0,102,0,1 +2951,michael clarke,michael,clarke,2013-11-28,Male,1990-05-07,25,25 - 45,African-American,0,4,0,0,0,-1,2013-11-27 09:02:38,2013-12-04 10:11:40,13016534CF10A,2013-11-27,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-28,Risk of Violence,4,Low,2013-11-28,2015-12-02,2015-12-03,0,6,734,0,0 +2952,gaellen fabre,gaellen,fabre,2013-03-07,Male,1993-12-14,22,Less than 25,African-American,0,3,0,0,0,-1,2013-03-06 08:19:03,2013-03-07 06:09:53,13003369CF10A,2013-03-06,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-07,Risk of Violence,5,Medium,2013-03-07,2013-03-06,2013-03-07,0,0,1121,0,0 +2954,philip picard,philip,picard,2013-02-06,Male,1994-08-22,21,Less than 25,Caucasian,0,4,0,0,0,-1,2013-02-05 07:50:29,2013-02-06 02:23:08,13001783CF10A,2013-02-05,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-06,Risk of Violence,7,Medium,2013-02-06,2013-02-05,2013-02-06,0,0,1150,0,0 +2955,christopher bryant,christopher,bryant,2013-09-08,Male,1985-09-11,30,25 - 45,African-American,0,2,0,0,1,0,2013-09-08 06:44:39,2013-09-10 03:35:08,13017093MM10A,2013-09-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-08,Risk of Violence,3,Low,2013-09-08,2013-09-08,2013-09-10,1,2,936,0,0 +2956,robert lallier,robert,lallier,2013-11-16,Male,1969-12-13,46,Greater than 45,Caucasian,0,5,0,0,9,0,2013-11-16 02:06:57,2013-11-20 05:42:41,13021581MM10A,2013-11-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-16,Risk of Violence,2,Low,2013-11-16,2013-11-16,2013-11-20,9,4,867,0,0 +2959,corey brown,corey,brown,2013-01-17,Male,1989-08-31,26,25 - 45,African-American,0,7,0,0,2,0,2013-01-17 05:17:57,2013-01-17 07:05:29,13001189MM10A,2013-01-17,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-17,Risk of Violence,7,Medium,2013-01-17,2013-01-17,2013-01-17,2,0,1170,0,0 +2961,franklin wright,franklin,wright,2013-02-07,Male,1983-03-13,33,25 - 45,African-American,0,5,0,0,0,0,2013-02-07 12:36:54,2013-02-08 08:31:07,13001851CF10A,,2013-02-07,0,F,arrest case no charge,1,14045966TC30A,(M2),,2014-05-21,No Valid DL / Non Resident,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-07,Risk of Violence,6,Medium,2013-02-07,2013-03-14,2013-04-06,0,1,35,0,1 +2962,david brown,david,brown,2013-08-29,Male,1976-01-15,40,25 - 45,African-American,0,1,0,0,1,-1,2013-08-28 06:36:56,2013-08-29 07:57:29,13016493MM10A,2013-08-27,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-29,Risk of Violence,2,Low,2013-08-29,2013-08-28,2013-08-29,1,0,946,0,0 +2963,dennis figueroalopez,dennis,figueroalopez,2013-10-03,Male,1981-06-25,34,25 - 45,Caucasian,0,4,0,0,0,-1,2013-10-02 07:42:44,2013-10-30 09:15:07,13013823CF10A,2013-10-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-03,Risk of Violence,3,Low,2013-10-03,2013-10-02,2013-10-30,0,27,911,0,0 +2964,jeffrey gitta,jeffrey,gitta,2014-06-23,Male,1993-10-13,22,Less than 25,Caucasian,0,2,0,0,1,-1,2014-06-22 12:47:35,2014-07-29 05:31:23,14008615CF10A,2014-06-22,,1,F,Grand Theft in the 3rd Degree,1,14008961CF10A,(F3),,2014-06-25,Crimin Mischief Damage $1000+,,,,0,,,,,Risk of Recidivism,2,Low,2014-06-23,Risk of Violence,3,Low,2014-06-23,2014-06-22,2014-07-29,1,0,2,1,1 +2965,stefano forero,stefano,forero,2013-02-16,Male,1987-11-20,28,25 - 45,Hispanic,0,5,0,0,3,-1,2013-02-15 07:09:29,2013-02-16 01:16:11,12078938TC20A,,2013-02-15,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-16,Risk of Violence,5,Medium,2013-02-16,2013-07-03,2013-07-04,3,0,137,0,0 +2968,darrel mims,darrel,mims,2013-08-12,Male,1984-09-25,31,25 - 45,African-American,0,3,0,0,4,-1,2013-08-11 01:32:33,2013-08-12 01:59:39,13015142MM10A,2013-08-11,,1,M,Assault,1,13079490TC20A,(M2),,2013-12-17,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-12,Risk of Violence,2,Low,2013-08-12,2014-04-07,2014-04-08,4,0,127,1,1 +2969,ralph woodward,ralph,woodward,2014-05-01,Male,1956-11-18,59,Greater than 45,Caucasian,0,1,0,0,3,0,2014-05-01 04:27:00,2014-05-02 11:39:39,14016793MU10A,2014-05-01,,0,M,Driving Under The Influence,1,14017883MM10A,(M1),0,2014-12-19,Battery,2014-12-19,2015-01-03,,1,14017883MM10A,(M1),2014-12-19,Battery,Risk of Recidivism,1,Low,2014-05-01,Risk of Violence,1,Low,2014-05-01,2014-11-20,2014-11-23,3,1,203,0,1 +2970,charles frye,charles,frye,2013-02-10,Male,1979-01-08,37,25 - 45,Native American,0,2,0,0,0,-1,2013-02-09 11:48:32,2013-02-10 08:32:47,13002039CF10A,2013-02-09,,1,F,"Aggr Child Abuse-Torture,Punish",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-10,Risk of Violence,1,Low,2013-02-10,2013-02-09,2013-02-10,0,0,1146,0,0 +2972,aston bailey,aston,bailey,2014-02-23,Male,1965-11-28,50,Greater than 45,African-American,0,1,0,0,0,-1,2014-02-22 01:33:06,2014-02-24 02:04:00,14002523CF10A,2014-02-22,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-23,Risk of Violence,1,Low,2014-02-23,2014-02-22,2014-02-24,0,1,768,0,0 +2973,atlantis steenson,atlantis,steenson,2013-03-21,Female,1994-10-21,21,Less than 25,Other,0,4,0,0,2,244,2013-11-20 05:20:30,2013-12-16 12:06:50,13003966CF10A,2013-01-11,,69,F,Neglect Child / No Bodily Harm,1,14010121CF10A,(F3),,2014-07-10,Possession of XLR11,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-21,Risk of Violence,6,Medium,2013-03-21,2013-11-20,2013-12-16,2,0,244,0,1 +2974,jeffrey scott,jeffrey,scott,2013-08-01,Male,1958-09-03,57,Greater than 45,African-American,0,5,0,0,8,-1,2013-07-31 05:54:37,2013-11-08 03:35:51,13013043CF10A,2013-07-31,,1,F,Felony Battery w/Prior Convict,1,13015640CF10A,(F2),0,2013-11-10,Throw Missile Into Pub/Priv Dw,2013-11-10,2014-05-14,,1,13015640CF10A,(F2),2013-11-10,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,5,Medium,2013-08-01,Risk of Violence,2,Low,2013-08-01,2013-11-10,2014-05-14,8,99,101,1,1 +2976,johan wyngaarde,johan,wyngaarde,2013-04-16,Male,1984-07-14,31,25 - 45,African-American,0,5,0,0,5,-1,2013-04-15 09:48:22,2013-04-16 07:51:31,13007298MM10A,2013-04-15,,1,M,Assault,1,15008901CF10A,(F3),0,2015-07-10,Possession Of Heroin,2015-07-10,2015-07-13,,0,,,,,Risk of Recidivism,5,Medium,2013-04-16,Risk of Violence,5,Medium,2013-04-16,2013-08-05,2013-08-08,5,0,111,0,0 +2977,patricia gibson,patricia,gibson,2014-03-01,Female,1965-01-27,51,Greater than 45,African-American,0,7,0,0,1,,,,10020216MM10A,2010-09-19,,1259,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-01,Risk of Violence,2,Low,2014-03-01,,,1,0,762,0,0 +2979,horace davis,horace,davis,2013-08-05,Male,1971-12-24,44,25 - 45,African-American,0,8,0,0,9,-28,2013-07-08 03:02:29,2013-08-02 11:00:32,13009558CF10A,2013-07-08,,28,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-05,Risk of Violence,6,Medium,2013-08-05,2014-07-23,2014-07-31,9,0,352,0,0 +2982,tony neal,tony,neal,2013-01-04,Male,1967-07-19,48,Greater than 45,African-American,0,9,0,0,5,-1,2013-01-03 12:33:59,2013-09-03 06:19:55,13000113CF10A,2013-01-03,,1,F,Possession of Cocaine,1,15011554CF10A,(M1),0,2015-09-07,Unlaw Use False Name/Identity,2015-09-07,2015-10-12,,0,,,,,Risk of Recidivism,9,High,2013-01-04,Risk of Violence,2,Low,2013-01-04,2014-07-08,2014-07-08,5,464,550,0,1 +2983,vanessa gonzalez,vanessa,gonzalez,2014-01-19,Female,1990-09-21,25,25 - 45,Caucasian,0,4,0,0,0,-1,2014-01-18 06:18:49,2014-01-19 08:45:11,14000808CF10A,2014-01-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-19,Risk of Violence,3,Low,2014-01-19,2014-01-18,2014-01-19,0,0,803,0,0 +2984,augusta howard,augusta,howard,2013-08-01,Male,1965-02-14,51,Greater than 45,African-American,0,3,0,0,5,-1,2013-07-31 04:28:15,2013-07-31 09:19:37,97045105TC30A,,1999-12-09,4984,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-07-31,2013-07-31,5,0,974,0,0 +2985,ralph wessells,ralph,wessells,2014-10-10,Male,1966-02-25,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-10-09 12:45:11,2014-10-10 08:55:00,14013640CF10A,,2014-10-09,1,F,arrest case no charge,1,15005910TC30A,(M2),,2015-01-17,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,1,Low,2014-10-10,Risk of Violence,1,Low,2014-10-10,2014-10-09,2014-10-10,0,0,99,1,1 +2988,blair wright,blair,wright,2013-11-18,Male,1958-08-21,57,Greater than 45,Caucasian,0,1,0,0,2,-11,2013-11-07 01:02:54,2013-11-09 02:40:38,13015742CF10A,,2013-11-07,11,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-12-24,2013-12-24,2,0,36,0,0 +2990,antonio rivas,antonio,rivas,2013-12-09,Male,1960-07-14,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-08 10:00:24,2013-12-09 08:45:38,13022716MM10A,2013-12-08,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,2013-12-08,2013-12-09,0,0,844,0,0 +2991,jerome howell,jerome,howell,2013-11-15,Male,1957-03-12,59,Greater than 45,African-American,0,3,0,0,4,-2,2013-11-13 07:46:49,2013-11-14 08:09:19,13015785CF10A,2013-11-13,,2,F,Possession of Cocaine,1,14007443CF10A,(F3),1,2014-05-28,Possession of Cocaine,2014-05-29,2014-06-30,,0,,,,,Risk of Recidivism,3,Low,2013-11-15,Risk of Violence,1,Low,2013-11-15,2015-04-18,2015-05-31,4,0,194,1,1 +2992,elithanne lucthamas,elithanne,lucthamas,2014-03-25,Female,1974-02-12,42,25 - 45,African-American,0,1,0,0,0,0,2014-03-25 03:00:23,2014-03-25 08:06:06,14004243CF10A,2014-03-25,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-25,Risk of Violence,1,Low,2014-03-25,2014-03-25,2014-03-25,0,0,738,0,0 +2993,stephen zambrano,stephen,zambrano,2013-12-11,Male,1995-09-03,20,Less than 25,Hispanic,2,8,0,0,2,-21,2013-11-20 09:51:09,2013-12-11 11:31:13,13013453CF10A,,2013-11-20,21,F,arrest case no charge,1,16006702TC10A,(M2),0,2016-03-16,Susp Drivers Lic 1st Offense,2016-03-16,2016-03-28,,0,,,,,Risk of Recidivism,8,High,2013-12-11,Risk of Violence,9,High,2013-12-11,2014-09-12,2015-02-15,2,0,275,0,1 +2995,richard kemp,richard,kemp,2013-03-18,Male,1957-08-27,58,Greater than 45,African-American,0,9,0,0,16,-47,2013-01-30 04:44:55,2013-02-28 10:10:00,13001521CF10A,2013-01-30,,47,F,Felony Petit Theft,1,15014932CF10A,(F3),0,2015-11-17,Grand Theft in the 3rd Degree,2015-11-17,2015-12-22,,0,,,,,Risk of Recidivism,9,High,2013-03-18,Risk of Violence,9,High,2013-03-18,2014-06-27,2014-09-26,16,0,466,0,0 +2996,ilyess benamor,ilyess,benamor,2013-04-20,Male,1994-09-01,21,Less than 25,Other,0,4,0,0,0,-1,2013-04-19 11:52:35,2013-05-18 08:03:09,13005634CF10A,2013-04-19,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2013-04-19,2013-05-18,0,28,1077,0,0 +2997,trenard jackson,trenard,jackson,2013-04-07,Male,1984-01-25,32,25 - 45,African-American,0,9,0,0,21,-1,2013-04-06 03:12:48,2013-06-09 04:42:25,13007576CF10A,2013-04-06,,1,F,Felony Petit Theft,1,13014540CF10A,(F3),,2013-09-20,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,9,High,2013-04-07,Risk of Violence,8,High,2013-04-07,2013-04-06,2013-06-09,21,63,166,1,1 +2998,julissa licona,julissa,licona,2013-09-04,Female,1991-07-22,24,Less than 25,Hispanic,0,4,0,0,0,0,2013-09-04 01:32:50,2013-09-04 01:46:03,13016860MM10A,2013-09-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-04,Risk of Violence,4,Low,2013-09-04,2013-09-04,2013-09-04,0,0,940,0,0 +3003,trevor russell,trevor,russell,2013-08-18,Male,1974-02-13,42,25 - 45,African-American,0,4,0,0,1,0,2013-08-18 01:50:02,2013-08-19 03:46:45,13011575CF10A,2013-08-17,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-18,Risk of Violence,2,Low,2013-08-18,2013-08-18,2013-08-19,1,1,957,0,0 +3004,vernet cherry,vernet,cherry,2014-07-18,Male,1986-07-29,29,25 - 45,African-American,0,8,0,0,8,-1,2014-07-17 12:12:08,2014-07-31 09:34:55,14009938CF10A,,2014-07-18,0,F,arrest case no charge,1,14015524CF10A,(F3),12,2014-11-06,Possession of Ethylone,2014-11-18,2015-03-06,,0,,,,,Risk of Recidivism,8,High,2014-07-18,Risk of Violence,4,Low,2014-07-18,2014-08-22,2014-08-27,8,13,35,0,1 +3005,chadwayne maragh,chadwayne,maragh,2013-05-25,Male,1994-10-14,21,Less than 25,African-American,0,6,0,0,1,-1,2013-05-24 04:57:35,2013-06-01 04:53:45,12017982CF10A,,2013-05-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-25,Risk of Violence,6,Medium,2013-05-25,2013-05-24,2013-06-01,1,7,1042,0,0 +3008,anthony principe,anthony,principe,2014-01-08,Male,1984-12-13,31,25 - 45,Caucasian,0,2,0,0,1,-356,2013-01-17 04:09:52,2013-01-17 07:32:05,13001206MM10A,2013-01-17,,356,M,DUI Level 0.15 Or Minor In Veh,1,14003219MM20A,(M1),,2014-11-06,Theft/To Deprive,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,2,Low,2014-01-08,2013-01-17,2013-01-17,1,0,302,1,1 +3009,karl saldana,karl,saldana,2013-04-22,Male,1959-12-26,56,Greater than 45,Hispanic,0,4,0,0,8,,,,12007837CF10A,2012-05-27,,330,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-22,Risk of Violence,3,Low,2013-04-22,,,8,0,1075,0,0 +3010,thomas handy,thomas,handy,2013-10-03,Male,1957-09-17,58,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-03 02:20:47,2013-10-03 07:55:20,13018830MM10A,2013-10-02,,1,M,DUI Blood Alcohol Above 0.20,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-10-03,2013-10-03,0,0,911,0,0 +3014,evens alcime,evens,alcime,2014-06-22,Male,1993-12-30,22,Less than 25,African-American,0,7,0,1,1,0,2014-06-22 04:50:40,2014-06-23 03:37:26,14008607CF10A,2014-06-22,,0,F,Pos Cannabis W/Intent Sel/Del,1,16009914TC20A,(M2),37,2016-02-15,Operating W/O Valid License,2016-03-23,2016-04-05,,0,,,,,Risk of Recidivism,7,Medium,2014-06-22,Risk of Violence,8,High,2014-06-22,2014-06-22,2014-06-23,1,1,603,1,1 +3015,jason gardner,jason,gardner,2013-12-11,Male,1970-03-29,46,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-10 06:50:04,2013-12-11 01:30:53,13022860MM10A,2013-12-10,,1,M,Battery,1,15003660MO10A,(MO3),0,2015-03-29,Trespass,2015-03-29,2015-03-30,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2015-03-29,2015-03-30,1,0,473,1,1 +3019,paul laiknickas,paul,laiknickas,2014-02-11,Male,1965-05-03,50,Greater than 45,Caucasian,0,2,0,0,0,0,2014-02-11 03:13:47,2014-02-25 10:45:00,14002353MM10A,2014-02-11,,0,M,Battery,1,15001207MM20A,(M1),,2015-04-05,Indecent Exposure,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-11,Risk of Violence,1,Low,2014-02-11,2014-02-11,2014-02-25,0,14,418,1,1 +3020,devonah daniels,devonah,daniels,2013-02-26,Male,1969-11-23,46,Greater than 45,African-American,0,9,0,0,2,-1,2013-02-25 08:20:16,2013-02-26 06:41:08,13002868CF10A,2013-02-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-26,Risk of Violence,4,Low,2013-02-26,2013-11-12,2013-12-18,2,0,259,0,0 +3021,stacey mccall,stacey,mccall,2014-11-06,Female,1971-05-22,44,25 - 45,African-American,0,8,1,0,11,-1,2014-11-05 01:39:14,2014-11-20 09:26:23,14014852CF10A,2014-11-05,,1,F,Possession of Cocaine,1,15001136MM10A,(M2),0,2015-01-28,Petit Theft,2015-01-28,2015-02-24,,0,,,,,Risk of Recidivism,8,High,2014-11-06,Risk of Violence,5,Medium,2014-11-06,2015-01-28,2015-02-24,11,14,83,1,1 +3022,willie terry,willie,terry,2013-01-17,Male,1981-03-22,35,25 - 45,African-American,0,5,0,0,4,-1,2013-01-16 10:14:25,2013-02-15 01:55:17,13001137MM10A,2013-01-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2013-01-16,2013-02-15,4,29,1170,0,0 +3023,jermaine jackson,jermaine,jackson,2013-05-01,Male,1985-06-03,30,25 - 45,African-American,0,9,1,0,14,-1,2013-04-30 02:58:28,2013-05-02 04:38:53,13006216CF10A,2013-04-30,,1,F,Grand Theft (Motor Vehicle),1,13037318TC10A,(M2),,2013-09-12,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,9,High,2013-05-01,Risk of Violence,7,Medium,2013-05-01,2013-04-30,2013-05-02,14,1,134,1,1 +3025,troy harris,troy,harris,2013-11-19,Male,1973-09-24,42,25 - 45,African-American,0,5,0,0,2,-1,2013-11-18 05:25:49,2013-11-19 02:03:11,13015997CF10A,2013-11-18,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-19,Risk of Violence,4,Low,2013-11-19,2013-11-18,2013-11-19,2,0,864,0,0 +3027,jean guerrier,jean,guerrier,2013-01-06,Male,1970-03-10,46,Greater than 45,African-American,0,1,0,0,5,-1,2013-01-05 01:19:31,2013-07-26 03:18:51,13000216CF10A,2013-01-05,,1,F,Grand Theft (Motor Vehicle),1,14015228TC10A,(M2),0,2014-04-18,Susp Drivers Lic 1st Offense,2014-04-18,2014-04-20,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2014-04-18,2014-04-20,5,201,467,1,1 +3029,dan cooper,dan,cooper,2014-10-04,Male,1973-06-21,42,25 - 45,African-American,0,10,0,0,0,0,2014-10-04 03:36:47,2014-11-07 04:56:46,14013379CF10A,2014-10-04,,0,F,Poss Pyrrolidinovalerophenone,1,15000109CF10A,(F2),,2015-01-03,Felon in Pos of Firearm or Amm,,,,0,,,,,Risk of Recidivism,10,High,2014-10-04,Risk of Violence,6,Medium,2014-10-04,2014-10-04,2014-11-07,0,34,91,1,1 +3030,glenardo stubbs,glenardo,stubbs,2013-04-29,Male,1979-03-14,37,25 - 45,African-American,0,3,0,0,12,-74,2013-02-14 04:39:29,2013-03-11 09:00:46,11010599CF10A,,2013-02-14,74,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,2,Low,2013-04-29,2013-07-25,2013-08-22,12,0,87,0,0 +3031,christopher colon,christopher,colon,2014-05-23,Male,1986-11-26,29,25 - 45,Caucasian,0,10,0,0,7,-1,2014-05-22 01:26:49,2014-05-23 01:41:40,14007168CF10A,2014-05-22,,1,F,Aggravated Battery / Pregnant,1,14009273MM10A,(M1),,2014-06-11,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,10,High,2014-05-23,Risk of Violence,8,High,2014-05-23,2014-06-11,2014-10-20,7,0,19,1,1 +3032,geovanni casteel,geovanni,casteel,2013-02-04,Male,1983-09-14,32,25 - 45,African-American,0,4,0,1,8,-1,2013-02-03 06:34:52,2013-02-07 11:43:19,13001707CF10A,2013-02-03,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-04,Risk of Violence,2,Low,2013-02-04,2013-04-05,2013-05-14,8,3,60,0,0 +3033,julo victor,julo,victor,2013-03-11,Male,1984-09-22,31,25 - 45,Other,0,6,0,0,5,-1,2013-03-10 08:28:08,2013-03-13 12:29:20,13003527CF10A,2013-03-10,,1,F,Grand Theft in the 3rd Degree,1,15008288MM10A,(M1),0,2015-08-05,Possess Cannabis/20 Grams Or Less,2015-08-05,2015-08-06,,0,,,,,Risk of Recidivism,6,Medium,2013-03-11,Risk of Violence,4,Low,2013-03-11,2015-08-05,2015-08-06,5,2,877,1,0 +3034,shemeka suggs,shemeka,suggs,2013-05-01,Female,1982-06-27,33,25 - 45,African-American,0,1,0,0,1,-1,2013-04-30 12:54:45,2013-05-02 12:26:52,13008355MM10A,2013-04-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-04-30,2013-05-02,1,1,1066,0,0 +3035,ivan parra,ivan,parra,2013-01-10,Male,1990-10-28,25,25 - 45,Caucasian,0,4,0,0,4,-1,2013-01-09 02:20:36,2013-07-11 06:30:31,13000358CF10A,2013-01-09,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-10,Risk of Violence,4,Low,2013-01-10,2013-07-11,2013-12-01,4,325,1177,0,0 +3036,tanika brownlee,tanika,brownlee,2014-03-20,Female,1982-11-01,33,25 - 45,African-American,0,1,0,0,0,-1,2014-03-19 08:34:38,2014-03-20 10:14:22,14004793MM10A,2014-03-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-03-19,2014-03-20,0,0,743,0,0 +3037,xavier ramos,xavier,ramos,2013-12-13,Male,1995-02-01,21,Less than 25,Hispanic,0,5,0,0,1,-1,2013-12-12 10:48:59,2013-12-13 08:38:42,13013750CF10A,,2013-12-12,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-13,Risk of Violence,9,High,2013-12-13,2013-12-12,2013-12-13,1,0,840,0,0 +3038,charlotte nicholas,charlotte,nicholas,2013-09-06,Female,1951-09-19,64,Greater than 45,Caucasian,0,3,0,0,7,123,2014-01-07 01:01:49,2014-03-24 04:05:57,12010888MM10A,2012-03-19,,536,M,Expired DL More Than 6 Months,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2014-01-07,2014-03-24,7,0,123,0,0 +3039,khalil elasraoui,khalil,elasraoui,2014-05-01,Male,1980-06-11,35,25 - 45,Caucasian,0,1,0,0,1,-1,2014-04-30 05:11:29,2014-06-18 09:18:28,14005982CF10A,2014-04-30,,1,F,Possession of Cocaine,1,16000232CF10A,(M1),0,2016-01-06,,2016-01-06,2016-01-07,,0,,,,,Risk of Recidivism,1,Low,2014-05-01,Risk of Violence,1,Low,2014-05-01,2016-01-06,2016-01-07,1,48,615,1,1 +3040,samuel clarke,samuel,clarke,2013-11-06,Male,1959-09-03,56,Greater than 45,African-American,0,1,0,0,1,-22,2013-10-15 09:44:46,2013-10-18 07:16:45,13014397CF10A,,2013-10-15,22,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-06,Risk of Violence,1,Low,2013-11-06,2013-10-15,2013-10-18,1,0,877,0,0 +3041,david munoz,david,munoz,2013-01-28,Male,1977-10-13,38,25 - 45,Caucasian,0,3,0,0,0,-1,2013-01-27 09:20:52,2013-01-30 05:11:21,13001930MM10A,2013-01-27,,1,M,Battery,1,14013062MM10A,(M1),0,2014-08-31,Battery,2014-08-31,2014-09-01,,1,14013062MM10A,(M1),2014-08-31,Battery,Risk of Recidivism,3,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2014-08-31,2014-09-01,0,2,580,1,1 +3042,lawanneka burton,lawanneka,burton,2013-03-09,Female,1975-12-07,40,25 - 45,African-American,0,1,0,0,4,-1,2013-03-08 06:47:59,2013-03-09 12:05:57,13000085MM30A,,2013-03-08,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,4,0,1119,0,0 +3043,christon clark,christon,clark,2013-07-12,Male,1981-09-09,34,25 - 45,African-American,0,7,0,0,3,-105,2013-03-29 10:29:49,2013-07-02 09:55:00,10016002CF10A,,2013-03-29,105,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-07-12,Risk of Violence,6,Medium,2013-07-12,2013-12-28,2014-04-23,3,0,169,0,0 +3046,zackery mcburrows,zackery,mcburrows,2013-08-09,Male,1988-04-05,28,25 - 45,African-American,0,4,0,1,4,-1,2013-08-08 07:17:53,2013-08-09 08:35:26,13011107CF10A,2013-08-08,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-09,Risk of Violence,3,Low,2013-08-09,2013-09-25,2013-10-19,4,0,47,0,0 +3051,maurice terry,maurice,terry,2013-01-18,Male,1964-06-09,51,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-17 06:26:46,2013-01-18 08:47:55,13001194MM10A,2013-01-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-17,2013-01-18,0,0,1169,0,0 +3053,bryan boyd,bryan,boyd,2013-09-16,Male,1980-11-01,35,25 - 45,African-American,0,2,0,0,2,-1,2013-09-15 05:04:42,2013-09-17 04:20:35,13017567MM10A,2013-09-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-16,Risk of Violence,2,Low,2013-09-16,2013-09-15,2013-09-17,2,1,928,0,0 +3055,leonard newton,leonard,newton,2013-01-24,Male,1954-09-05,61,Greater than 45,African-American,0,2,0,0,5,-13,2013-01-11 04:45:49,2013-01-23 08:42:55,13000529CF10A,2013-01-11,,13,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2013-06-30,2013-08-16,5,0,157,0,0 +3056,tommy moore,tommy,moore,2014-03-05,Male,1990-05-12,25,25 - 45,African-American,0,3,0,0,0,0,2014-03-05 05:26:09,2014-03-06 08:20:58,14003107CF10A,2014-03-05,,0,F,Poss Unlaw Issue Driver Licenc,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-05,Risk of Violence,4,Low,2014-03-05,2014-03-05,2014-03-06,0,1,758,0,0 +3057,anthony alpern,anthony,alpern,2014-07-14,Male,1990-08-17,25,25 - 45,African-American,0,7,0,0,4,-1,2014-07-13 09:35:10,2014-07-14 08:01:09,14009571CF10A,2014-07-13,,1,F,Felony Driving While Lic Suspd,1,14017217MM10A,(M2),,2014-12-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2014-07-14,Risk of Violence,3,Low,2014-07-14,2015-05-15,2015-05-30,4,0,145,1,1 +3058,jamar johnson,jamar,johnson,2013-02-17,Male,1989-08-25,26,25 - 45,African-American,0,5,0,0,0,0,2013-02-17 01:06:03,2013-02-17 11:01:50,13003392MM10A,2013-02-16,,1,M,Petit Theft,1,16007599MU10A,(M1),0,2016-03-26,,2016-03-26,2016-03-27,,0,,,,,Risk of Recidivism,5,Medium,2013-02-17,Risk of Violence,4,Low,2013-02-17,2016-03-26,2016-03-27,0,0,1133,1,0 +3064,alexey ryabov,alexey,ryabov,2014-02-02,Male,1973-06-28,42,25 - 45,Caucasian,0,1,0,0,1,-1,2014-02-01 11:16:39,2014-02-04 05:23:00,14001775MM10A,2014-02-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,1,Low,2014-02-02,2014-02-01,2014-02-04,1,2,789,0,0 +3066,cowania ferguson,cowania,ferguson,2013-04-01,Female,1991-03-28,25,25 - 45,African-American,0,4,0,0,1,-10,2013-03-22 09:50:36,2013-03-23 07:50:42,13004189CF10A,2013-03-22,,10,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-01,Risk of Violence,4,Low,2013-04-01,2015-02-18,2015-02-24,1,0,688,0,0 +3067,shaquille butler,shaquille,butler,2014-05-09,Male,1989-07-27,26,25 - 45,African-American,0,10,1,0,13,-1,2014-05-08 12:35:57,2014-05-08 09:01:32,13046211TC10A,2013-10-14,,207,M,Driving License Suspended,1,14020181TC10A,(M2),275,2014-05-20,Driving License Suspended,2015-02-19,2015-06-16,,0,,,,,Risk of Recidivism,10,High,2014-05-09,Risk of Violence,9,High,2014-05-09,2016-01-23,2016-01-30,13,0,11,1,1 +3068,zachery griffin,zachery,griffin,2013-03-01,Male,1985-04-12,31,25 - 45,African-American,0,7,0,0,9,-1,2013-02-28 10:35:31,2013-03-01 08:06:02,13003064CF10A,2013-02-28,,1,F,Poss of Methylethcathinone,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-01,Risk of Violence,3,Low,2013-03-01,2015-06-02,2020-01-01,9,0,823,0,0 +3069,david paris,david,paris,2013-05-29,Male,1980-09-25,35,25 - 45,Caucasian,0,2,0,1,1,-1,2013-05-28 03:54:12,2013-05-29 04:20:25,13007625CF10A,2013-05-28,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-28,2013-05-29,1,0,1038,0,0 +3071,jennifer oneal,jennifer,oneal,2013-10-01,Female,1974-11-16,41,25 - 45,African-American,0,2,0,0,4,-100,2013-06-23 09:46:17,2013-07-03 09:28:33,12015877CF10A,,2013-01-27,247,F,arrest case no charge,1,14000370MM30A,(M2),38,2014-02-10,Petit Theft,2014-03-20,2014-03-24,,0,,,,,Risk of Recidivism,2,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2014-03-20,2014-03-24,4,0,132,1,1 +3074,brian denby,brian,denby,2013-01-29,Male,1982-02-23,34,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-28 01:41:49,2013-05-24 07:34:24,13001398CF10A,2013-01-28,,1,F,Lewd/Lasc Battery Pers 12+/<16,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-28,2013-05-24,0,115,1158,0,0 +3075,ronaldo blevins,ronaldo,blevins,2013-09-05,Male,1969-11-23,46,Greater than 45,Caucasian,0,1,0,0,5,-93,2013-06-04 12:36:33,2013-06-04 12:47:00,13015202TC10A,,2013-06-04,93,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-05,Risk of Violence,1,Low,2013-09-05,2013-12-18,2013-12-19,5,0,104,0,0 +3078,clara torres,clara,torres,2013-08-12,Female,1982-08-12,33,25 - 45,Caucasian,0,2,0,0,1,-1,2013-08-11 09:15:50,2013-08-12 02:12:09,13015161MM10A,2013-08-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-12,Risk of Violence,2,Low,2013-08-12,2013-08-11,2013-08-12,1,0,963,0,0 +3081,livingstone wright,livingstone,wright,2014-02-18,Male,1986-03-01,30,25 - 45,African-American,0,2,0,1,3,-1,2014-02-17 08:23:12,2014-02-18 01:12:50,14002242CF10A,2014-02-17,,1,F,Carrying Concealed Firearm,1,16012051TC40A,(M2),,2016-03-01,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-18,Risk of Violence,2,Low,2014-02-18,2014-02-17,2014-02-18,3,0,742,1,0 +3084,yolanda young,yolanda,young,2013-12-12,Female,1966-03-07,50,Greater than 45,African-American,0,4,0,0,7,-1,2013-12-11 07:36:50,2013-12-12 09:27:58,13022943MM10A,2013-12-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-12,Risk of Violence,1,Low,2013-12-12,2013-12-11,2013-12-12,7,0,841,0,0 +3085,winston forbes,winston,forbes,2013-05-02,Male,1994-06-03,21,Less than 25,African-American,0,5,0,0,0,-1,2013-05-01 07:42:32,2013-06-20 11:32:07,13006268CF10A,2013-05-01,,1,F,Burglary Dwelling Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-02,Risk of Violence,7,Medium,2013-05-02,2014-02-24,2014-05-16,0,49,298,0,0 +3086,alfonso torres,alfonso,torres,2013-01-14,Male,1984-12-24,31,25 - 45,Hispanic,0,10,0,0,16,0,2013-01-14 12:17:47,2014-05-12 02:24:28,13000611CF10A,2013-01-13,,1,F,Burglary Conveyance Unoccup,1,14007529CF10A,(F3),,2014-05-30,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,10,High,2013-01-14,Risk of Violence,6,Medium,2013-01-14,2013-01-14,2014-05-12,16,483,501,1,1 +3087,roderick griffin,roderick,griffin,2014-09-06,Male,1984-11-04,31,25 - 45,African-American,0,7,0,0,2,-1,2014-09-05 03:07:05,2014-09-08 05:09:09,14012136CF10A,2014-09-05,,1,F,"Poss 3,4 MDMA (Ecstasy)",1,14014062CF10A,(F3),1,2014-10-17,Poss Pyrrolidinovalerophenone,2014-10-18,2014-10-19,,0,,,,,Risk of Recidivism,7,Medium,2014-09-06,Risk of Violence,3,Low,2014-09-06,2014-09-05,2014-09-08,2,2,41,1,1 +3089,phyllis laurent,phyllis,laurent,2013-04-14,Female,1992-05-08,23,Less than 25,African-American,0,4,0,0,0,-1,2013-04-13 12:17:02,2013-04-14 07:40:07,13007166MM10A,2013-04-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,4,Low,2013-04-14,2013-04-13,2013-04-14,0,0,1083,0,0 +3090,james bradley,james,bradley,2013-01-27,Male,1990-06-05,25,25 - 45,African-American,0,6,0,0,1,0,2013-01-27 06:04:54,2013-01-29 04:29:16,13001315CF10A,2013-01-27,,0,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2015-03-30,2015-04-28,1,2,792,0,0 +3093,tristynn francis,tristynn,francis,2013-08-20,Female,1991-11-03,24,Less than 25,Caucasian,0,5,0,0,1,-1,2013-08-19 04:57:00,2013-08-20 06:13:54,13011618CF10A,,2013-08-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-20,Risk of Violence,4,Low,2013-08-20,2013-08-19,2013-08-20,1,0,955,0,0 +3094,larry mann,larry,mann,2013-03-13,Male,1984-08-31,31,25 - 45,African-American,0,10,0,0,13,-1,2013-03-12 09:19:16,2013-03-13 01:42:02,13004924MM10A,2013-03-12,,1,M,Possess Cannabis/20 Grams Or Less,1,13031238TC10A,(M2),,2013-06-27,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-03-13,Risk of Violence,9,High,2013-03-13,2013-06-20,2013-06-21,13,0,99,0,1 +3096,emmanuel raymond,emmanuel,raymond,2013-08-18,Male,1955-07-08,60,Greater than 45,African-American,0,1,0,0,0,-1,2013-08-17 04:50:08,2013-08-19 07:18:58,13011535CF10A,2013-08-17,,1,F,Grand Theft in the 3rd Degree,1,15001770MM30A,(M1),,2015-11-08,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-18,Risk of Violence,1,Low,2013-08-18,2013-08-17,2013-08-19,0,1,812,1,0 +3101,claudy joseph,claudy,joseph,2013-01-16,Male,1986-01-30,30,25 - 45,African-American,0,2,0,0,2,-1,2013-01-15 09:30:53,2013-01-16 01:24:06,12006115CF10A,,2013-01-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,3,Low,2013-01-16,2014-12-22,2014-12-23,2,0,705,0,0 +3104,johane kemp,johane,kemp,2013-04-30,Female,1983-10-22,32,25 - 45,Other,0,1,0,0,0,-1,2013-04-29 06:48:57,2013-04-30 02:02:05,13008298MM10A,2013-04-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-29,2013-04-30,0,0,1067,0,0 +3107,richard lemmon,richard,lemmon,2014-03-28,Male,1970-03-27,46,Greater than 45,Caucasian,0,1,0,0,0,0,2014-03-28 03:06:42,2014-03-28 01:21:28,14012341MU10A,2014-03-27,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-28,Risk of Violence,1,Low,2014-03-28,2014-03-28,2014-03-28,0,0,735,0,0 +3110,paola arango,paola,arango,2014-06-14,Male,1994-10-21,21,Less than 25,Caucasian,0,4,0,1,0,-1,2014-06-13 03:47:26,2014-06-14 01:59:39,14009363MM10A,2014-06-13,,1,M,Battery,1,15001697MM20A,(M1),,2015-06-29,Battery,,,,1,15001697MM20A,(M1),2015-06-29,Battery,Risk of Recidivism,4,Low,2014-06-14,Risk of Violence,5,Medium,2014-06-14,2014-06-13,2014-06-14,0,0,380,1,1 +3111,broderick westbrook,broderick,westbrook,2013-04-01,Male,1987-05-02,28,25 - 45,African-American,4,9,0,0,6,,,,11025606MM10A,2011-11-21,,497,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-01,Risk of Violence,9,High,2013-04-01,2005-01-18,2006-07-17,6,0,1096,0,0 +3112,emmanuel brown,emmanuel,brown,2013-05-22,Male,1980-08-20,35,25 - 45,African-American,0,8,0,0,0,-1,2013-05-21 04:36:41,2013-05-22 07:44:42,13007247CF10A,2013-05-21,,1,F,Pos Cannabis W/Intent Sel/Del,1,16008420TC40A,(M2),,2016-01-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-21,2013-05-22,0,0,955,1,0 +3113,rafael martinezreyes,rafael,martinezreyes,2014-12-23,Male,1981-08-06,34,25 - 45,Hispanic,0,3,0,0,2,-1,2014-12-22 05:50:19,2015-01-01 04:05:16,14016937CF10A,2014-12-22,,1,F,Use of Anti-Shoplifting Device,1,15014766CF10A,(F3),0,2015-11-13,Use of Anti-Shoplifting Device,2015-11-13,2015-12-18,,0,,,,,Risk of Recidivism,3,Low,2014-12-23,Risk of Violence,2,Low,2014-12-23,2015-11-13,2015-12-18,2,9,325,1,1 +3114,duc nguyen,duc,nguyen,2014-01-23,Male,1974-10-16,41,25 - 45,Asian,0,8,0,0,2,-1,2014-01-22 07:06:45,2014-07-03 06:02:40,14000937CF10A,2014-01-22,,1,F,Felony Petit Theft,1,14014698CF10A,(F3),0,2014-11-01,Grand Theft in the 3rd Degree,2014-11-01,2014-11-26,,0,,,,,Risk of Recidivism,8,High,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-11-01,2014-11-26,2,161,282,1,1 +3115,mary oneal,mary,oneal,2013-10-09,Female,1975-12-03,40,25 - 45,African-American,0,4,0,0,7,-33,2013-09-06 05:20:15,2013-09-08 01:45:57,13017027MM10A,2013-09-06,,33,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-09,Risk of Violence,1,Low,2013-10-09,2014-01-21,2014-01-24,7,0,104,0,0 +3116,paret baker,paret,baker,2013-01-18,Male,1992-10-31,23,Less than 25,African-American,0,10,0,0,1,-1,2013-01-17 10:19:58,2013-02-02 08:32:52,13000839CF10A,2013-01-17,,1,F,Grand Theft in the 3rd Degree,1,13004898CF10A,(F3),0,2013-04-05,Grand Theft in the 3rd Degree,2013-04-05,2013-05-05,,0,,,,,Risk of Recidivism,10,High,2013-01-18,Risk of Violence,10,High,2013-01-18,2013-04-05,2013-05-05,1,15,77,1,1 +3117,darren walters,darren,walters,2014-11-03,Male,1993-03-01,23,Less than 25,African-American,0,6,0,0,3,-1,2014-11-02 05:56:22,2014-11-04 03:26:47,14014718CF10A,2014-11-02,,1,F,Grand Theft in the 3rd Degree,1,15001674MM20A,(M1),13,2015-06-04,Trespass Other Struct/Conve,2015-06-17,2015-06-19,,0,,,,,Risk of Recidivism,6,Medium,2014-11-03,Risk of Violence,5,Medium,2014-11-03,2014-11-02,2014-11-04,3,1,213,1,1 +3118,jarrod jones,jarrod,jones,2013-04-27,Male,1987-04-30,28,25 - 45,African-American,0,4,0,0,2,0,2013-04-27 10:40:34,2013-04-30 07:29:42,13008138MM10A,2013-04-27,,0,M,Resist/Obstruct W/O Violence,1,15007603CF10A,(F3),0,2015-06-10,Retail Theft $300 1st Offense,2015-06-10,2015-06-11,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,3,Low,2013-04-27,2015-01-05,2015-01-06,2,3,618,0,0 +3120,michael fernandez,michael,fernandez,2013-10-27,Male,1994-11-27,21,Less than 25,Hispanic,0,4,0,0,0,0,2013-10-27 02:38:28,2013-10-27 08:27:39,13015013CF10A,2013-10-26,,1,F,Possession Of Alprazolam,1,14004255MM10A,(M1),,2013-11-11,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-27,Risk of Violence,6,Medium,2013-10-27,2013-10-27,2013-10-27,0,0,15,1,1 +3122,shawn carter,shawn,carter,2013-05-19,Male,1969-08-24,46,Greater than 45,Caucasian,0,4,0,1,2,-1,2013-05-18 04:22:57,2013-05-21 07:08:22,13009578MM10A,2013-05-18,,1,M,Possess Cannabis/20 Grams Or Less,1,15006360MO10A,(CO3),0,2015-06-11,Drink/Premises Licensed Estab,2015-06-11,2015-06-12,,0,,,,,Risk of Recidivism,4,Low,2013-05-19,Risk of Violence,1,Low,2013-05-19,2015-06-11,2015-06-12,2,2,753,1,0 +3129,derick daniels,derick,daniels,2013-10-30,Male,1959-10-13,56,Greater than 45,African-American,0,2,0,0,1,-1,2013-10-29 08:23:19,2013-10-30 06:28:18,13013916CF10A,,2013-10-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2013-10-29,2013-10-30,1,0,884,0,0 +3130,loki fields,loki,fields,2013-05-07,Male,1975-03-11,41,25 - 45,African-American,0,6,0,0,19,-71,2013-02-25 01:38:54,2013-04-28 01:58:15,13002850CF10A,2013-02-25,,71,F,Driving While License Revoked,1,15012102CF10A,(F1),,2015-09-18,Possession Of Cocaine 1000FT Sch,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-07,Risk of Violence,3,Low,2013-05-07,2013-02-25,2013-04-28,19,0,864,1,0 +3131,fernando rios,fernando,rios,2014-01-10,Male,1975-08-11,40,25 - 45,Hispanic,0,5,0,0,8,-1,2014-01-09 02:59:18,2014-01-09 08:53:31,14000380CF10A,2014-01-09,,1,F,Possession of Cocaine,1,15024620TC10A,(M2),1,2015-08-31,Operating W/O Valid License,2015-09-01,2015-09-10,,0,,,,,Risk of Recidivism,5,Medium,2014-01-10,Risk of Violence,2,Low,2014-01-10,2014-05-28,2014-06-04,8,0,138,0,1 +3132,jose medina,jose,medina,2014-11-21,Male,1985-08-01,30,25 - 45,Hispanic,0,3,0,0,5,-1,2014-11-20 03:28:50,2014-11-22 08:20:08,14015633CF10A,,2014-11-20,1,F,arrest case no charge,1,15050387TC40A,(M2),,2015-08-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2014-11-21,Risk of Violence,2,Low,2014-11-21,2014-11-20,2014-11-22,5,1,275,1,1 +3134,kelcie jumper,kelcie,jumper,2014-01-31,Male,1992-03-05,24,Less than 25,African-American,0,4,0,0,1,-1,2014-01-30 11:29:50,2014-01-31 08:13:34,14001699MM10A,2014-01-30,,1,M,Battery,1,14013041MM10A,(M1),0,2014-08-31,Battery,2014-08-31,2014-09-01,,1,14013041MM10A,(M1),2014-08-31,Battery,Risk of Recidivism,4,Low,2014-01-31,Risk of Violence,6,Medium,2014-01-31,2014-08-31,2014-09-01,1,0,212,1,1 +3135,cornelius brown,cornelius,brown,2013-02-04,Male,1990-09-09,25,25 - 45,African-American,0,8,0,1,7,507,2014-06-26 11:31:47,2014-07-09 06:02:45,12018443CF10A,2012-12-19,,47,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-04,Risk of Violence,9,High,2013-02-04,2014-06-26,2014-07-09,7,0,507,0,0 +3136,xochitl roberts,xochitl,roberts,2014-02-17,Female,1982-10-20,33,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-16 11:09:24,2014-02-17 01:44:55,14002693MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-17,Risk of Violence,1,Low,2014-02-17,2014-02-16,2014-02-17,0,0,774,0,0 +3137,steven wilson,steven,wilson,2013-02-24,Male,1967-06-29,48,Greater than 45,Caucasian,0,8,0,0,2,-1,2013-02-23 02:23:02,2013-02-27 08:21:29,13008289TC10A,,2013-02-23,1,M,arrest case no charge,1,15009605MM10A,(M1),0,2015-09-09,Battery,2015-09-09,2015-09-10,,1,15009605MM10A,(M1),2015-09-09,Battery,Risk of Recidivism,8,High,2013-02-24,Risk of Violence,5,Medium,2013-02-24,2013-08-26,2013-08-27,2,3,183,0,0 +3138,guerry jean,guerry,jean,2013-08-14,Male,1982-11-04,33,25 - 45,African-American,0,6,0,0,11,-1,2013-08-13 09:01:33,2013-09-27 03:40:51,13011357CF10A,2013-08-13,,1,F,"Poss 3,4 MDMA (Ecstasy)",1,14014669CF10A,(F2),1,2014-11-01,Poss Cocaine/Intent To Del/Sel,2014-11-02,2015-01-09,,0,,,,,Risk of Recidivism,6,Medium,2013-08-14,Risk of Violence,2,Low,2013-08-14,2013-08-13,2013-09-27,11,44,444,1,1 +3139,jose llerena,jose,llerena,2013-12-07,Male,1990-09-03,25,25 - 45,Hispanic,0,7,0,0,0,-1,2013-12-06 05:45:53,2013-12-07 01:44:27,13016910CF10A,2013-12-06,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-07,Risk of Violence,5,Medium,2013-12-07,2014-06-18,2014-06-18,0,0,193,0,0 +3143,justin swanson,justin,swanson,2013-09-25,Male,1990-10-30,25,25 - 45,Caucasian,0,8,0,0,6,70,2013-12-04 08:42:55,2013-12-05 12:14:36,13004026CF10A,2013-03-20,,189,F,False Ownership Info/Pawn Item,1,14007756CF10A,(F3),139,2014-04-24,False Verif Ownership Pawn Shp,2014-09-10,2015-05-11,,0,,,,,Risk of Recidivism,8,High,2013-09-25,Risk of Violence,5,Medium,2013-09-25,2013-12-04,2013-12-05,6,0,70,0,1 +3144,keith powell,keith,powell,2014-09-03,Male,1957-06-10,58,Greater than 45,African-American,0,7,0,0,38,-112,2014-05-14 03:39:11,2014-08-09 04:17:17,14006742CF10A,2014-05-14,,112,F,Felony Petit Theft,1,15004622CF10A,(F3),0,2015-04-08,Use of Anti-Shoplifting Device,2015-04-08,2015-06-24,,0,,,,,Risk of Recidivism,7,Medium,2014-09-03,Risk of Violence,2,Low,2014-09-03,2015-04-08,2015-06-24,38,0,217,1,1 +3145,michael avila,michael,avila,2014-12-14,Male,1985-09-04,30,25 - 45,African-American,0,5,1,1,7,-1,2014-12-13 08:41:14,2014-12-14 02:15:24,14016564CF10A,2014-12-13,,1,F,Possess Countrfeit Credit Card,1,15063765TC40A,(M2),,2015-11-03,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2014-12-14,Risk of Violence,3,Low,2014-12-14,2015-03-17,2015-03-18,7,0,93,0,1 +3146,dayner rodriguez,dayner,rodriguez,2014-08-03,Male,1979-01-19,37,25 - 45,Hispanic,0,3,0,0,0,-1,2014-08-02 08:54:03,2014-08-05 04:53:29,14010547CF10A,2014-08-02,,1,F,Tamper With Witness/Victim/CI,1,15015294CF10A,(F2),1,2015-11-27,Throw Deadly Missile Into Veh,2015-11-28,2015-12-01,,1,15012743MM10A,(M1),2015-11-27,Battery,Risk of Recidivism,3,Low,2014-08-03,Risk of Violence,2,Low,2014-08-03,2014-08-02,2014-08-05,0,2,481,1,1 +3152,kimberly willie,kimberly,willie,2013-12-11,Female,1972-12-25,43,25 - 45,Caucasian,0,8,0,0,7,-21,2013-11-20 09:22:12,2013-11-29 01:21:20,13016158CF10A,2013-11-20,,21,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-11,Risk of Violence,4,Low,2013-12-11,2013-11-20,2013-11-29,7,0,842,0,0 +3153,shane eisner,shane,eisner,2013-04-22,Male,1983-06-21,32,25 - 45,Caucasian,0,3,0,0,0,0,2013-04-22 02:12:26,2013-04-23 03:37:52,13005786CF10A,2013-04-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-22,Risk of Violence,2,Low,2013-04-22,2013-06-14,2013-06-19,0,1,53,0,0 +3154,dane whyte,dane,whyte,2013-09-14,Male,1982-08-19,33,25 - 45,Other,0,7,0,0,3,-1,2013-09-13 09:19:08,2013-09-14 07:26:07,13012946CF10A,,2013-09-13,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-14,Risk of Violence,2,Low,2013-09-14,2013-11-04,2013-11-05,3,0,51,0,0 +3155,gasmy theard,gasmy,theard,2014-09-30,Male,1976-09-26,39,25 - 45,Other,0,2,1,0,4,-30,2014-08-31 01:21:04,2014-08-31 01:51:52,14011853CF10A,2014-08-30,,31,F,Poss Pyrrolidinovalerophenone,1,15000744MM10A,(M2),0,2015-01-20,Trespass Struct/Conveyance,2015-01-20,2015-01-26,,0,,,,,Risk of Recidivism,2,Low,2014-09-30,Risk of Violence,1,Low,2014-09-30,2015-01-20,2015-01-26,4,0,112,1,1 +3156,michael leigh,michael,leigh,2013-10-04,Male,1966-10-15,49,Greater than 45,Caucasian,0,1,0,0,4,-11,2013-09-23 10:48:21,2013-09-29 02:37:04,13013400CF10A,2013-09-18,,16,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,2,Low,2013-10-04,2013-09-23,2013-09-29,4,0,910,0,0 +3157,max lerner,max,lerner,2013-01-15,Male,1991-04-21,24,Less than 25,Caucasian,0,4,0,0,0,-1,2013-01-14 12:16:45,2013-02-02 02:34:30,13000630CF10A,2013-01-14,,1,F,Robbery W/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-15,Risk of Violence,5,Medium,2013-01-15,2013-01-14,2013-02-02,0,18,1172,0,0 +3158,dontay lubin,dontay,lubin,2013-03-20,Male,1990-01-29,26,25 - 45,African-American,0,9,0,0,1,0,2013-03-20 12:31:18,2013-03-20 08:23:50,13003991CF10A,2013-03-19,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-20,Risk of Violence,8,High,2013-03-20,2013-10-30,2013-11-02,1,0,224,0,0 +3159,robert potenziani,robert,potenziani,2013-12-23,Male,1974-02-10,42,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-22 11:07:53,2013-12-24 06:33:34,13017633CF10A,2013-12-22,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-22,2013-12-24,0,1,830,0,0 +3160,deandre smith,deandre,smith,2013-04-06,Male,1994-03-04,22,Less than 25,African-American,0,6,0,0,1,-1,2013-04-05 02:06:31,2013-04-11 08:20:38,13004929CF10A,2013-04-05,,1,F,Burglary Unoccupied Dwelling,1,13005289CF10A,(M1),0,2013-04-12,Possess Cannabis/20 Grams Or Less,2013-04-12,2013-04-14,,0,,,,,Risk of Recidivism,6,Medium,2013-04-06,Risk of Violence,6,Medium,2013-04-06,2013-04-12,2013-04-14,1,5,6,1,1 +3161,jaime rivas,jaime,rivas,2013-01-29,Male,1979-12-21,36,25 - 45,Hispanic,0,1,0,0,0,0,2013-01-29 04:06:41,2013-01-29 08:19:17,13001426CF10A,2013-01-29,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-29,2013-01-29,0,0,1158,0,0 +3162,christopher neff,christopher,neff,2014-04-11,Male,1986-06-19,29,25 - 45,Caucasian,0,7,0,1,7,-1,2014-04-10 11:56:45,2014-05-08 05:09:20,14006220MM10A,2014-04-10,,1,M,Battery,1,14013070MM10A,(M2),0,2014-08-31,Trespass Structure/Conveyance,2014-08-31,2014-09-06,,1,14013070MM10A,(M1),2014-08-31,Assault On Law Enforc Officer,Risk of Recidivism,7,Medium,2014-04-11,Risk of Violence,6,Medium,2014-04-11,2014-08-31,2014-09-06,7,27,142,1,1 +3163,stephen peters,stephen,peters,2013-09-09,Male,1976-08-22,39,25 - 45,Caucasian,0,3,0,0,0,0,2013-09-09 02:46:49,2013-09-27 03:40:24,13017188MM10A,2013-09-09,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,3,Low,2013-09-09,2013-09-09,2013-09-27,0,18,935,0,0 +3164,ronald lalanne,ronald,lalanne,2014-06-04,Male,1988-11-10,27,25 - 45,African-American,0,6,2,1,13,0,2014-06-04 01:09:19,2014-06-18 04:53:40,13014741CF10A,,2014-06-04,0,F,arrest case no charge,1,14023908TC10A,(M2),0,2014-06-26,Reckless Driving,2014-06-26,2014-06-27,,0,,,,,Risk of Recidivism,6,Medium,2014-06-04,Risk of Violence,3,Low,2014-06-04,2014-06-26,2014-06-27,13,14,22,1,1 +3165,anthony stilwell,anthony,stilwell,2013-10-13,Male,1978-01-02,38,25 - 45,Caucasian,0,5,0,0,2,-1,2013-10-12 09:25:18,2013-10-20 02:55:08,13014292CF10A,2013-10-12,,1,F,Possession of Cocaine,1,15012230TC10A,(M2),0,2015-04-17,Driving License Suspended,2015-04-17,2015-04-23,,0,,,,,Risk of Recidivism,5,Medium,2013-10-13,Risk of Violence,3,Low,2013-10-13,2014-03-05,2014-03-12,2,7,143,0,1 +3166,miguel garcia-silverio,miguel,garcia-silverio,2014-11-10,Male,1995-11-18,20,Less than 25,Caucasian,0,2,0,0,0,-1,2014-11-09 09:10:36,2014-11-13 03:36:54,14015157CF10A,2014-11-10,,0,F,Burglary Conveyance Unoccup,1,14015209CF10A,(F3),99,2014-11-11,Burglary Conveyance Unoccup,2015-02-18,2015-03-12,,0,,,,,Risk of Recidivism,2,Low,2014-11-10,Risk of Violence,5,Medium,2014-11-10,2014-11-09,2014-11-13,0,0,1,1,1 +3168,joshua ross,joshua,ross,2013-08-04,Male,1990-12-15,25,25 - 45,African-American,2,10,0,0,4,-1,2013-08-03 02:09:27,2013-10-28 10:42:44,11013003CF10A,,2013-08-03,1,F,arrest case no charge,1,14003185MM10A,(M1),0,2014-02-24,Possess Cannabis/20 Grams Or Less,2014-02-24,2014-04-10,,0,,,,,Risk of Recidivism,10,High,2013-08-04,Risk of Violence,7,Medium,2013-08-04,2013-12-14,2014-01-06,4,85,132,0,1 +3169,adriana jurado,adriana,jurado,2013-12-02,Male,1963-04-05,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-01 05:45:15,2013-12-02 01:31:10,13022379MM10A,2013-12-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0 +3170,precious mccray,precious,mccray,2014-05-16,Female,1988-10-02,27,25 - 45,African-American,0,8,0,0,0,-1,2014-05-15 10:48:03,2014-05-22 06:23:29,14007954MM10A,2014-05-15,,1,M,Battery,1,14075716TC40A,(M2),314,2014-08-09,Operating W/O Valid License,2015-06-19,2015-06-25,,0,,,,,Risk of Recidivism,8,High,2014-05-16,Risk of Violence,4,Low,2014-05-16,2014-05-15,2014-05-22,0,6,85,1,1 +3174,angeles etienne,angeles,etienne,2014-02-22,Male,1995-04-09,21,Less than 25,Other,0,5,0,0,0,-1,2014-02-21 04:58:53,2014-02-27 12:46:17,14002490CF10A,2014-02-21,,1,F,Burglary Structure Unoccup,1,14008615MM10A,(M2),0,2014-05-29,Trespass Struct/Conveyance,2014-05-29,2014-05-30,,1,15001591CF10A,(F1),2015-01-21,Robbery W/Firearm,Risk of Recidivism,5,Medium,2014-02-22,Risk of Violence,8,High,2014-02-22,2014-05-29,2014-05-30,0,5,96,1,1 +3175,giuseppe daal,giuseppe,daal,2014-03-20,Male,1966-04-07,50,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-03-19 01:45:38,2014-03-24 07:17:06,14004781MM10A,2014-03-19,,1,M,Viol Injunct Domestic Violence,1,14015665MM10A,(M1),0,2014-10-29,Viol Injunct Domestic Violence,2014-10-29,2014-11-11,,0,,,,,Risk of Recidivism,1,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-10-29,2014-11-11,1,4,223,1,1 +3176,sherwin samuel,sherwin,samuel,2013-10-19,Male,1974-09-22,41,25 - 45,African-American,0,5,0,0,4,-1,2013-10-18 09:30:02,2013-10-19 08:19:06,13014610CF10A,2013-10-18,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-19,Risk of Violence,2,Low,2013-10-19,2013-10-18,2013-10-19,4,0,895,0,0 +3177,bedson petithomme,bedson,petithomme,2013-05-09,Male,1981-09-21,34,25 - 45,African-American,0,2,0,0,4,378,2014-05-22 03:04:26,2015-11-03 06:27:10,13004134CF10A,2012-10-02,,219,F,Aggravated Battery / Pregnant,1,14010379TC10A,(M2),,2014-02-26,Fail Register Vehicle,,,,1,14007376CF10A,(F2),2014-05-21,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,2,Low,2013-05-09,Risk of Violence,1,Low,2013-05-09,2015-11-03,2016-04-02,4,0,293,1,1 +3178,alexander khan,alexander,khan,2014-11-09,Male,1993-06-10,22,Less than 25,Caucasian,0,8,0,2,5,-2,2014-11-07 08:17:57,2014-11-12 04:12:00,14015012CF10A,2014-11-07,,2,F,Possession Of Alprazolam,1,14015400CF10A,(F3),0,2014-11-15,Possession of Cocaine,2014-11-15,2014-12-20,,1,15004748CF10A,(F3),2015-04-10,Battery on Law Enforc Officer,Risk of Recidivism,8,High,2014-11-09,Risk of Violence,6,Medium,2014-11-09,2014-11-15,2014-12-20,5,3,6,1,1 +3181,sean vasquez,sean,vasquez,2013-02-01,Male,1993-09-27,22,Less than 25,Caucasian,0,7,0,2,0,-1,2013-01-31 10:40:18,2013-02-03 09:00:10,13001555CF10A,2013-01-31,,1,F,Grand Theft (Motor Vehicle),1,13015139MM10A,(M1),1,2013-08-11,Battery,2013-08-12,2013-11-07,,1,13015139MM10A,(M1),2013-08-11,Battery,Risk of Recidivism,7,Medium,2013-02-01,Risk of Violence,6,Medium,2013-02-01,2013-05-04,2013-05-10,0,2,92,0,1 +3182,christopher rich,christopher,rich,2013-01-03,Male,1990-09-03,25,25 - 45,African-American,0,5,0,0,2,-1,2013-01-02 11:31:06,2013-01-29 09:34:50,13000085CF10A,2013-01-02,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-03,Risk of Violence,3,Low,2013-01-03,2013-01-02,2013-01-29,2,26,1184,0,0 +3183,merrill noel,merrill,noel,2014-02-15,Male,1973-07-16,42,25 - 45,African-American,0,4,0,0,1,-1,2014-02-14 01:19:08,2014-02-15 08:36:39,14002125CF10A,2014-02-14,,1,F,Felony Driving While Lic Suspd,1,14041158TC10A,(M2),0,2014-10-28,Fail Register Vehicle,2014-10-28,2014-10-29,,0,,,,,Risk of Recidivism,4,Low,2014-02-15,Risk of Violence,3,Low,2014-02-15,2014-10-28,2014-10-29,1,0,255,1,1 +3186,alexandra dovolis,alexandra,dovolis,2013-11-26,Female,1988-05-06,27,25 - 45,Caucasian,0,3,0,0,2,-34,2013-10-23 07:51:42,2013-10-24 08:39:18,13014864CF10A,2013-10-23,,34,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-26,Risk of Violence,3,Low,2013-11-26,2014-08-06,2014-08-13,2,0,253,0,0 +3188,errol freckleton,errol,freckleton,2013-02-20,Male,1964-08-03,51,Greater than 45,Other,0,1,0,0,2,-1,2013-02-19 03:55:09,2013-02-20 07:10:16,13002528CF10A,,2013-02-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-19,2013-02-20,2,0,1136,0,0 +3189,frederick barbary,frederick,barbary,2013-04-03,Male,1982-10-15,33,25 - 45,African-American,0,9,0,0,23,525,2014-09-10 09:21:33,2015-09-15 06:50:00,11017941CF10A,,2013-04-02,1,F,arrest case no charge,1,14012310CF10A,(M1),0,2014-09-10,Resist/Obstruct W/O Violence,2014-09-10,2015-09-15,,0,,,,,Risk of Recidivism,9,High,2013-04-03,Risk of Violence,8,High,2013-04-03,2014-09-10,2015-09-15,23,0,525,1,1 +3190,jonathan garber,jonathan,garber,2013-01-12,Male,1991-06-03,24,Less than 25,African-American,0,3,0,1,0,0,2013-01-12 12:29:56,2013-01-12 01:19:46,13000527CF10A,2013-01-11,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-12,Risk of Violence,5,Medium,2013-01-12,2013-01-12,2013-01-12,0,0,1175,0,0 +3191,marlon miller,marlon,miller,2013-08-27,Male,1978-10-13,37,25 - 45,African-American,0,4,0,0,4,0,2013-08-27 02:58:00,2013-11-28 02:15:32,12014646CF10A,,2013-08-27,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,2,Low,2013-08-27,2013-08-27,2013-11-28,4,93,948,0,0 +3192,brad clark,brad,clark,2013-04-29,Male,1979-03-14,37,25 - 45,Caucasian,0,1,0,0,0,-3,2013-04-26 04:52:50,2013-04-26 07:29:03,13008331MM10A,2013-04-26,,3,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-26,2013-04-26,0,0,1068,0,0 +3197,lamar queenbourrows,lamar,queenbourrows,2013-01-22,Female,1988-12-13,27,25 - 45,Other,0,2,0,0,0,-1,2013-01-21 11:20:20,2013-01-22 09:49:51,13001428MM10A,2013-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,2,Low,2013-01-22,2013-01-21,2013-01-22,0,0,1165,0,0 +3198,travis moss,travis,moss,2013-01-31,Male,1995-01-26,21,Less than 25,Other,0,6,0,0,0,-1,2013-01-30 07:10:03,2013-02-04 10:22:57,13001504CF10A,2013-01-30,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-31,Risk of Violence,6,Medium,2013-01-31,2013-05-08,2013-09-10,0,4,97,0,0 +3200,javon harris,javon,harris,2013-01-21,Male,1980-05-10,35,25 - 45,African-American,0,1,0,0,1,0,2013-01-21 03:33:22,2013-01-22 06:23:53,13000986CF10A,2013-01-21,,0,F,Aggravated Battery / Pregnant,1,13004540CF10A,(F2),0,2013-03-29,Aggravated Battery / Pregnant,2013-03-29,2013-03-31,,1,13004540CF10A,(F2),2013-03-29,Aggravated Battery / Pregnant,Risk of Recidivism,1,Low,2013-01-21,Risk of Violence,1,Low,2013-01-21,2013-03-29,2013-03-31,1,1,67,1,1 +3203,cassandra hendricks,cassandra,hendricks,2013-10-09,Female,1991-08-17,24,Less than 25,Caucasian,0,8,0,0,0,-1,2013-10-08 12:11:04,2013-11-14 06:47:36,13014106CF10A,2013-10-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-09,Risk of Violence,5,Medium,2013-10-09,2014-01-27,2014-04-21,0,36,110,0,0 +3204,jeffery turcotte,jeffery,turcotte,2013-03-08,Male,1995-02-27,21,Less than 25,Other,1,7,0,0,1,,,,12016746CF10A,,2012-11-15,113,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-08,Risk of Violence,8,High,2013-03-08,,,1,0,1120,0,0 +3205,john gough,john,gough,2013-01-22,Male,1967-04-18,49,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-01-21 01:43:09,2013-01-22 09:04:24,13001417MM10A,2013-01-21,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-22,Risk of Violence,1,Low,2013-01-22,2013-08-25,2013-09-09,2,0,215,0,0 +3206,derrico miller,derrico,miller,2013-09-03,Male,1977-06-22,38,25 - 45,African-American,0,6,0,0,9,-5,2013-08-29 04:44:36,2013-09-01 02:25:46,13008193CF10A,,2013-08-30,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-03,Risk of Violence,8,High,2013-09-03,2014-04-23,2014-05-01,9,0,232,0,0 +3207,motilall nokta,motilall,nokta,2013-07-10,Male,1955-03-08,61,Greater than 45,Other,0,1,0,0,0,-1,2013-07-09 08:23:34,2013-07-10 01:55:35,13013043MM10A,2013-07-09,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-10,Risk of Violence,1,Low,2013-07-10,2013-07-09,2013-07-10,0,0,996,0,0 +3208,tyara thomas,tyara,thomas,2014-01-12,Female,1986-04-03,30,25 - 45,African-American,0,2,0,0,0,0,2014-01-12 01:20:12,2014-01-12 07:13:40,14000555MM10A,2014-01-12,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-12,Risk of Violence,2,Low,2014-01-12,2014-01-12,2014-01-12,0,0,810,0,0 +3209,keon lamar,keon,lamar,2013-04-26,Male,1993-08-15,22,Less than 25,African-American,0,6,0,0,3,-1,2013-04-25 03:56:18,2013-08-31 05:22:10,13005931CF10A,2013-04-25,,1,F,Battery on a Person Over 65,1,15012390CF10A,(M1),0,2015-09-24,Battery,2015-09-24,2015-11-03,,1,15012390CF10A,(F3),2015-09-24,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2015-09-24,2015-11-03,3,127,881,1,0 +3212,amsterby etienne,amsterby,etienne,2014-11-22,Male,1990-12-17,25,25 - 45,African-American,0,7,0,0,0,-1,2014-11-21 08:15:55,2014-11-23 04:38:36,14015717CF10A,2014-11-21,,1,F,Poss Counterfeit Payment Inst,1,15016272TC10A,(M2),0,2015-04-29,Operating W/O Valid License,2015-04-29,2015-06-12,,0,,,,,Risk of Recidivism,7,Medium,2014-11-22,Risk of Violence,3,Low,2014-11-22,2015-04-29,2015-06-12,0,1,158,1,1 +3214,maria arezo,maria,arezo,2014-10-01,Female,1986-04-16,30,25 - 45,Hispanic,0,3,0,0,3,-1,2014-09-30 01:56:49,2014-10-01 02:05:33,14014387MM10A,2014-09-30,,1,M,Battery,1,15007202CF10A,(F3),,2015-06-02,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,3,Low,2014-10-01,Risk of Violence,2,Low,2014-10-01,2014-09-30,2014-10-01,3,0,244,1,1 +3215,paul degiovanni,paul,degiovanni,2013-11-16,Male,1963-08-23,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-15 11:16:23,2013-11-16 08:06:35,13021541MM10A,2013-11-15,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-16,Risk of Violence,1,Low,2013-11-16,2013-11-15,2013-11-16,0,0,867,0,0 +3217,joseph villa,joseph,villa,2014-03-24,Male,1989-06-26,26,25 - 45,Caucasian,0,2,0,0,0,-1,2014-03-23 06:32:39,2014-03-24 02:29:51,14004090CF10A,2014-03-23,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-24,Risk of Violence,3,Low,2014-03-24,2014-03-23,2014-03-24,0,0,739,0,0 +3218,robertson saintgermain,robertson,saintgermain,2014-03-15,Male,1989-12-15,26,25 - 45,Other,0,4,0,0,0,-1,2014-03-14 03:02:25,2014-03-15 07:47:36,14004479MM10A,2014-03-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-15,Risk of Violence,2,Low,2014-03-15,2014-03-14,2014-03-15,0,0,748,0,0 +3222,nicholas bynum,nicholas,bynum,2013-10-24,Male,1986-05-29,29,25 - 45,African-American,0,7,1,0,6,-55,2013-08-30 05:39:42,2013-08-30 08:16:58,13012288CF10A,2013-08-30,,55,F,Felon in Pos of Firearm or Amm,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-24,Risk of Violence,5,Medium,2013-10-24,2014-08-21,2014-08-29,6,0,301,0,0 +3223,jason palgon,jason,palgon,2014-11-21,Male,1971-02-07,45,Greater than 45,Caucasian,0,9,0,0,9,-1,2014-11-20 07:34:26,2015-01-14 05:25:12,14015628CF10A,2014-11-20,,1,F,Felony Petit Theft,1,15016642CF10A,(F3),,2015-12-30,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,9,High,2014-11-21,Risk of Violence,4,Low,2014-11-21,2015-08-25,2015-08-26,9,54,277,0,1 +3225,brandon brown,brandon,brown,2014-12-28,Male,1995-07-05,20,Less than 25,African-American,0,9,0,0,0,-1,2014-12-27 04:57:38,2014-12-28 01:50:47,14017072CF10A,,2014-12-27,1,F,arrest case no charge,1,15002954CF10A,(F3),0,2015-03-04,Possession of Cannabis,2015-03-04,2015-04-16,,0,,,,,Risk of Recidivism,9,High,2014-12-28,Risk of Violence,7,Medium,2014-12-28,2015-03-04,2015-04-16,0,0,66,1,1 +3226,joshua jones,joshua,jones,2013-02-11,Male,1987-04-17,29,25 - 45,African-American,0,8,0,0,4,-1,2013-02-10 06:11:44,2013-05-01 08:08:58,12017246CF10A,,2013-02-09,2,F,arrest case no charge,1,15013975CF10A,(F3),49,2015-09-17,Felony Battery w/Prior Convict,2015-11-05,2015-12-03,,1,15013975CF10A,(F3),2015-09-17,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2013-02-11,Risk of Violence,9,High,2013-02-11,2014-11-30,2015-03-05,4,79,657,0,0 +3227,charles stephens,charles,stephens,2014-12-06,Male,1972-05-04,43,25 - 45,Caucasian,0,6,0,0,1,-1,2014-12-05 10:59:20,2015-02-12 11:41:17,13014406CF10A,,2014-12-05,1,F,arrest case no charge,1,15004373CF10A,(F3),0,2015-04-03,Possession of Cocaine,2015-04-03,2015-09-17,,0,,,,,Risk of Recidivism,6,Medium,2014-12-06,Risk of Violence,4,Low,2014-12-06,2015-04-03,2015-09-17,1,68,118,1,1 +3229,albert baldocchi,albert,baldocchi,2013-02-09,Male,1990-01-11,26,25 - 45,Caucasian,0,5,0,0,2,-1,2013-02-08 10:04:37,2013-02-09 01:03:16,13002012CF10A,2013-02-08,,1,F,D.U.I. Serious Bodily Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2013-02-08,2013-02-09,2,0,1147,0,0 +3230,stephanie smith,stephanie,smith,2014-01-07,Female,1969-11-30,46,Greater than 45,African-American,0,4,0,0,4,-1,2014-01-06 07:12:43,2014-01-07 01:36:40,14000304CF10A,,2014-01-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-07,Risk of Violence,3,Low,2014-01-07,2014-01-06,2014-01-07,4,0,815,0,0 +3232,marlo warthen,marlo,warthen,2014-03-22,Female,1969-09-02,46,Greater than 45,African-American,0,1,0,0,0,-1,2014-03-21 09:47:15,2014-03-22 10:57:18,14004048CF10A,2014-03-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-22,0,0,741,0,0 +3234,jon smith,jon,smith,2013-03-21,Male,1976-11-25,39,25 - 45,Caucasian,0,1,0,0,8,-56,2013-01-24 05:38:16,2013-01-25 12:01:11,13001181CF10A,2013-01-24,,56,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,3,Low,2013-03-21,2013-01-24,2013-01-25,8,0,1107,0,0 +3236,earl brewer,earl,brewer,2014-02-22,Male,1986-10-07,29,25 - 45,African-American,0,10,0,0,12,-1,2014-02-21 09:47:22,2014-02-27 09:02:04,14002487CF10A,2014-02-21,,1,F,Possession of Cocaine,1,14010954MM10A,(M2),,2014-07-17,Disorderly Conduct,,,,1,15008215CF10A,(F2),2015-06-25,Strong Armed Robbery,Risk of Recidivism,10,High,2014-02-22,Risk of Violence,7,Medium,2014-02-22,2014-04-01,2014-04-02,12,5,38,0,1 +3237,ignacio beguiristain,ignacio,beguiristain,2013-12-03,Male,1975-03-31,41,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-03 12:26:01,2013-12-03 08:36:18,13022422MM10A,2013-12-02,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2013-12-03,2013-12-03,0,0,850,0,0 +3238,franshun yopp,franshun,yopp,2013-03-23,Male,1986-08-06,29,25 - 45,African-American,0,10,0,1,11,-65,2013-01-17 05:30:09,2013-02-05 09:12:19,13000814CF10A,,2013-03-22,1,F,arrest case no charge,1,15002716CF10A,(F3),0,2015-02-26,Possession Of Methamphetamine,2015-02-26,2015-03-09,,0,,,,,Risk of Recidivism,10,High,2013-03-23,Risk of Violence,7,Medium,2013-03-23,2015-02-26,2015-03-09,11,0,705,1,1 +3240,chasidy walker,chasidy,walker,2013-12-08,Female,1990-05-16,25,25 - 45,African-American,0,7,0,0,5,-1,2013-12-07 11:35:44,2013-12-08 07:59:31,13016958CF10A,2013-12-07,,1,F,Poss Anti-Shoplifting Device,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-08,Risk of Violence,3,Low,2013-12-08,2014-01-12,2014-01-12,5,0,35,0,0 +3242,maurice bradwell,maurice,bradwell,2013-01-16,Male,1992-07-08,23,Less than 25,African-American,1,7,0,0,2,-1,2013-01-15 04:57:11,2013-02-02 11:24:05,13000722CF10A,2013-01-15,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-16,Risk of Violence,5,Medium,2013-01-16,2015-02-08,2015-05-19,2,17,753,0,0 +3243,jennifer williams,jennifer,williams,2013-01-14,Female,1969-09-22,46,Greater than 45,African-American,0,8,0,0,1,51,2013-03-06 01:55:41,2013-04-30 10:17:35,08013538CF10A,,2012-05-14,245,F,arrest case no charge,1,13003348CF10A,(F2),21,2013-02-13,Poss Cocaine/Intent To Del/Sel,2013-03-06,2013-04-30,,0,,,,,Risk of Recidivism,8,High,2013-01-14,Risk of Violence,3,Low,2013-01-14,2015-10-02,2015-12-22,1,0,30,1,1 +3246,christopher connelly,christopher,connelly,2013-11-20,Male,1985-06-22,30,25 - 45,Caucasian,0,3,0,0,0,-1,2013-11-19 07:21:09,2013-11-19 08:05:35,13021771MM10A,2013-11-19,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-20,Risk of Violence,2,Low,2013-11-20,2013-11-19,2013-11-19,0,0,863,0,0 +3247,joseph farina,joseph,farina,2013-04-26,Male,1981-06-14,34,25 - 45,Caucasian,0,6,0,0,1,-1,2013-04-25 10:30:51,2013-04-28 06:19:11,13003794CF10A,,2013-04-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-26,Risk of Violence,4,Low,2013-04-26,2013-04-25,2013-04-28,1,2,1071,0,0 +3248,ronald lake,ronald,lake,2014-03-26,Male,1945-08-15,70,Greater than 45,Caucasian,0,1,0,0,11,-13,2014-03-13 04:24:15,2014-03-26 04:21:19,14003566CF10A,2014-03-13,,13,F,Possession of Cocaine,1,16007232TC10A,(M2),,2015-12-31,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2014-03-13,2014-03-26,11,0,645,1,1 +3250,peter castanon,peter,castanon,2013-12-10,Male,1964-04-02,52,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-12-09 06:05:20,2013-12-11 03:04:00,11014702CF10A,,2013-12-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-09,2013-12-11,2,1,843,0,0 +3255,keith johnson,keith,johnson,2013-10-01,Male,1964-10-10,51,Greater than 45,African-American,0,2,0,0,4,-26,2013-09-05 09:34:45,2013-09-13 05:55:53,13034797TC10A,2013-09-05,,26,M,Susp Drivers Lic 1st Offense,1,15072869TC40A,(M2),1,2015-11-19,Unlaw LicTag/Sticker Attach,2015-11-20,2015-11-25,,0,,,,,Risk of Recidivism,2,Low,2013-10-01,Risk of Violence,2,Low,2013-10-01,2015-11-20,2015-11-25,4,0,779,1,0 +3259,stacey sanchez,stacey,sanchez,2013-10-16,Female,1970-09-17,45,Greater than 45,Native American,0,10,0,0,15,-1,2013-10-15 05:37:57,2013-10-16 06:42:14,13014454CF10A,2013-10-15,,1,F,Driving While License Revoked,1,16000514TC40A,(M2),,2015-12-18,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,10,High,2013-10-16,Risk of Violence,9,High,2013-10-16,2013-10-22,2014-03-13,15,0,6,0,1 +3260,herbert hathcock,herbert,hathcock,2013-03-20,Male,1960-09-09,55,Greater than 45,African-American,0,6,0,0,21,0,2013-03-20 01:05:06,2013-06-13 02:27:55,13005392CF10A,2013-03-19,,1,F,Felony Battery w/Prior Convict,1,13012437MM10A,(M1),0,2013-06-29,Viol Pretrial Release Dom Viol,2013-06-29,2013-09-10,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,5,Medium,2013-03-20,2013-06-29,2013-09-10,21,85,101,1,1 +3261,lori foerster,lori,foerster,2013-09-10,Female,1967-03-24,49,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-09-09 05:23:57,2013-09-10 09:54:48,13012733CF10A,,2013-09-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-10,1,0,934,0,0 +3262,chayla burley,chayla,burley,2013-10-17,Female,1989-11-30,26,25 - 45,African-American,0,6,0,0,9,404,2014-11-25 06:52:56,2014-11-27 04:40:19,13041841TC10A,2013-10-04,,13,M,Driving License Suspended,1,14016781MM10A,(M1),0,2014-11-25,Battery,2014-11-25,2014-11-27,,1,14016781MM10A,(M1),2014-11-25,Battery,Risk of Recidivism,6,Medium,2013-10-17,Risk of Violence,4,Low,2013-10-17,2014-11-25,2014-11-27,9,0,404,1,1 +3265,cynthia montalvo,cynthia,montalvo,2013-04-28,Female,1968-04-28,47,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-28 04:12:23,2013-04-28 07:53:11,13006111CF10A,2013-04-28,,0,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-28,Risk of Violence,1,Low,2013-04-28,2013-04-28,2013-04-28,0,0,1069,0,0 +3267,byran george,byran,george,2013-08-03,Male,1989-01-23,27,25 - 45,African-American,0,2,0,0,0,0,2013-08-03 07:19:15,2013-08-04 07:57:02,13014653MM10A,2013-08-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-03,Risk of Violence,3,Low,2013-08-03,2013-08-03,2013-08-04,0,1,972,0,0 +3268,michael aragon,michael,aragon,2013-03-25,Male,1991-04-07,25,25 - 45,Caucasian,0,7,2,0,5,-3,2013-03-22 06:09:22,2013-03-22 08:23:03,13005659MM10A,2013-03-22,,3,M,DUI Level 0.15 Or Minor In Veh,1,14045320MU10A,(M2),0,2014-12-19,Violation License Restrictions,2014-12-19,2014-12-19,,0,,,,,Risk of Recidivism,7,Medium,2013-03-25,Risk of Violence,4,Low,2013-03-25,2014-12-19,2014-12-19,5,0,634,0,1 +3270,dandre nelson,dandre,nelson,2014-12-26,Male,1995-04-11,21,Less than 25,African-American,0,10,1,0,1,0,2014-12-26 01:10:14,2015-02-23 04:43:46,14017033CF10A,,2014-12-26,0,F,arrest case no charge,1,15002210MM10A,(M1),0,2015-02-23,Petit Theft $100- $300,2015-02-23,2015-05-08,,0,,,,,Risk of Recidivism,10,High,2014-12-26,Risk of Violence,9,High,2014-12-26,2015-02-23,2015-05-08,1,59,59,1,1 +3272,jamichael hunter,jamichael,hunter,2013-08-10,Male,1978-11-09,37,25 - 45,African-American,0,10,0,1,26,-1,2013-08-09 06:53:53,2013-08-11 03:36:38,13011197CF10A,2013-08-09,,1,F,Driving While License Revoked,1,13016230CF10A,(F3),0,2013-11-22,Driving While License Revoked,2013-11-22,2013-11-23,,0,,,,,Risk of Recidivism,10,High,2013-08-10,Risk of Violence,8,High,2013-08-10,2013-11-22,2013-11-23,26,1,104,1,1 +3273,jamarion lee,jamarion,lee,2014-11-15,Male,1994-07-28,21,Less than 25,African-American,0,9,0,0,1,-1,2014-11-14 02:55:06,2015-01-02 05:44:37,14015317CF10A,2014-11-14,,1,F,Possession of Cocaine,1,15007043CF10A,(F3),0,2015-05-29,Poss Pyrrolidinovalerophenone,2015-05-29,2015-06-01,,0,,,,,Risk of Recidivism,9,High,2014-11-15,Risk of Violence,9,High,2014-11-15,2015-05-29,2015-06-01,1,48,195,1,1 +3274,craig lawrence,craig,lawrence,2013-06-20,Male,1994-09-25,21,Less than 25,African-American,0,6,0,0,0,-2,2013-06-18 04:27:00,2013-06-19 08:00:00,13008608CF10A,2013-06-18,,2,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-20,Risk of Violence,6,Medium,2013-06-20,2013-06-18,2013-06-19,0,0,1016,0,0 +3278,herbert mccloud,herbert,mccloud,2014-04-22,Male,1991-04-11,25,25 - 45,African-American,0,10,0,0,4,0,2014-04-22 02:26:58,2014-04-22 08:40:37,14005590CF10A,2014-04-21,,1,F,Possession of Cocaine,1,15012629MM10A,(M2),,2015-12-06,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,10,High,2014-04-22,Risk of Violence,9,High,2014-04-22,2015-06-22,2015-07-08,4,0,426,0,1 +3280,tiara higgs,tiara,higgs,2013-11-09,Female,1988-11-25,27,25 - 45,African-American,0,5,0,0,3,-1,2013-11-08 01:54:36,2013-11-09 01:55:33,13015600CF10A,2013-11-08,,1,F,Neglect Child / Bodily Harm,1,14005909TC10A,(M2),,2013-12-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-09,Risk of Violence,3,Low,2013-11-09,2015-09-27,2015-09-27,3,0,33,1,1 +3281,jason may,jason,may,2013-04-20,Male,1985-09-08,30,25 - 45,Caucasian,0,4,0,0,3,-1,2013-04-19 02:21:45,2013-05-01 10:53:53,13005613CF10A,2013-04-19,,1,F,Crimin Mischief Damage $1000+,1,13038248TC10A,(M2),0,2013-09-15,Susp Drivers Lic 1st Offense,2013-09-15,2013-09-16,,1,14000777CF10A,(F3),2014-01-18,Felony Battery (Dom Strang),Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-09-15,2013-09-16,3,11,148,1,1 +3283,ernesto arduz,ernesto,arduz,2014-02-09,Male,1945-05-11,70,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-08 11:37:08,2014-02-09 01:58:03,14005073MU10A,2014-02-08,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-09,Risk of Violence,1,Low,2014-02-09,2014-02-08,2014-02-09,0,0,782,0,0 +3284,dante capezzuto,dante,capezzuto,2013-08-24,Male,1979-04-17,37,25 - 45,Caucasian,0,9,0,0,11,-1,2013-08-23 11:47:26,2013-08-24 08:26:35,13011894CF10A,2013-08-23,,1,F,Deliver Cannabis,1,13014892CF10A,(M1),1,2013-10-24,Resist/Obstruct W/O Violence,2013-10-25,2013-10-26,,0,,,,,Risk of Recidivism,9,High,2013-08-24,Risk of Violence,4,Low,2013-08-24,2014-12-05,2014-12-11,11,0,61,1,1 +3285,theopholus joyce,theopholus,joyce,2013-04-06,Male,1970-03-28,46,Greater than 45,African-American,0,5,0,0,5,0,2013-04-06 02:32:32,2013-04-08 03:57:15,13004962CF10A,2013-04-06,,0,F,Agg Fleeing and Eluding,1,14004876MM10A,(M1),0,2014-03-20,Possess Cannabis/20 Grams Or Less,2014-03-20,2014-03-21,,0,,,,,Risk of Recidivism,5,Medium,2013-04-06,Risk of Violence,7,Medium,2013-04-06,2014-03-20,2014-03-21,5,2,348,1,1 +3286,kevin lee,kevin,lee,2014-06-20,Male,1976-04-02,40,25 - 45,Other,0,1,0,0,4,-1,2014-06-19 01:14:35,2014-06-21 07:18:57,14009627MM10A,2014-06-19,,1,M,Battery,1,15006864MM10A,(M1),280,2015-05-14,Viol Injunct Domestic Violence,2016-02-18,2016-02-23,,0,,,,,Risk of Recidivism,1,Low,2014-06-20,Risk of Violence,1,Low,2014-06-20,2014-06-19,2014-06-21,4,1,328,1,1 +3287,kevin lewis,kevin,lewis,2013-10-07,Male,1995-09-15,20,Less than 25,African-American,1,8,0,0,1,427,2014-12-08 07:57:42,2015-07-14 07:11:14,13013097CF10A,2013-06-06,,123,F,Grand Theft in the 3rd Degree,1,14016182CF10A,(F2),,2014-11-19,Burglary Dwelling Occupied,,,,0,,,,,Risk of Recidivism,8,High,2013-10-07,Risk of Violence,8,High,2013-10-07,2015-07-14,2020-01-01,1,0,408,1,1 +3288,haywood boyd,haywood,boyd,2013-10-30,Male,1972-05-27,43,25 - 45,African-American,0,4,0,0,18,-1,2013-10-29 03:16:41,2013-11-07 08:56:35,13005858CF10A,,2013-10-29,1,F,arrest case no charge,1,14020066TC10A,(M2),0,2014-05-09,Susp Drivers Lic 1st Offense,2014-05-09,2014-05-18,,0,,,,,Risk of Recidivism,4,Low,2013-10-30,Risk of Violence,3,Low,2013-10-30,2014-05-09,2014-05-18,18,8,191,1,1 +3289,levar dawson,levar,dawson,2013-02-19,Male,1977-05-13,38,25 - 45,African-American,0,6,0,0,15,0,2013-02-19 01:33:33,2013-04-15 11:26:03,13002465CF10A,2013-02-18,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-19,Risk of Violence,5,Medium,2013-02-19,2014-10-06,2014-10-07,15,55,594,0,0 +3290,kervin bonhometre,kervin,bonhometre,2013-03-13,Male,1986-07-16,29,25 - 45,African-American,0,4,0,0,0,0,2013-03-13 02:31:11,2013-03-13 08:19:46,13003682CF10A,2013-03-12,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-13,Risk of Violence,2,Low,2013-03-13,2013-03-13,2013-03-13,0,0,1115,0,0 +3291,terrance murphy,terrance,murphy,2013-01-17,Male,1978-09-15,37,25 - 45,African-American,0,2,0,0,8,0,2013-01-17 02:29:03,2013-01-18 05:36:20,13002944TC10A,2013-01-17,,0,M,Opert With Susp DL 2nd Offens,1,13004860CF10A,(F3),0,2013-04-04,Driving While License Revoked,2013-04-04,2013-04-05,,0,,,,,Risk of Recidivism,2,Low,2013-01-17,Risk of Violence,3,Low,2013-01-17,2013-04-04,2013-04-05,8,1,77,1,1 +3292,saul carrion,saul,carrion,2013-10-10,Male,1977-11-19,38,25 - 45,Hispanic,0,4,0,0,3,-21,2013-09-19 02:22:11,2013-09-19 08:08:14,13013183CF10A,2013-09-19,,21,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-09-19,2013-09-19,3,0,904,0,0 +3293,jehan gersbach,jehan,gersbach,2013-07-15,Female,1988-08-16,27,25 - 45,Caucasian,0,3,0,0,0,-4,2013-07-11 11:54:13,2013-07-12 01:44:05,13009762CF10A,2013-07-11,,4,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-15,Risk of Violence,2,Low,2013-07-15,2013-07-11,2013-07-12,0,0,991,0,0 +3294,toshiko petit,toshiko,petit,2013-12-10,Female,1995-07-04,20,Less than 25,Other,0,5,0,0,0,0,2013-12-10 12:24:00,2013-12-21 09:53:12,13017015CF10A,2013-12-09,,1,M,Aggravated Assault W/Dead Weap,1,14001016MM30A,(M2),,2014-06-17,Petit Theft,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-10,Risk of Violence,7,Medium,2013-12-10,2013-12-10,2013-12-21,0,11,189,1,1 +3295,eduard blanco,eduard,blanco,2013-01-11,Male,1971-08-13,44,25 - 45,Hispanic,0,1,0,0,0,0,2013-01-11 02:52:46,2013-01-11 07:46:30,13000684MM10A,2013-01-11,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-11,2013-01-11,0,0,1176,0,0 +3298,olayo montiel,olayo,montiel,2013-01-26,Male,1985-03-06,31,25 - 45,Caucasian,0,5,0,0,6,-1,2013-01-25 03:14:43,2013-01-26 08:15:46,13001845MM10A,2013-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-26,Risk of Violence,5,Medium,2013-01-26,2013-01-25,2013-01-26,6,0,1161,0,0 +3299,brandon murray,brandon,murray,2013-01-12,Male,1986-09-14,29,25 - 45,African-American,0,2,0,0,3,-1,2013-01-11 03:42:02,2013-01-12 04:42:30,13000532CF10A,,2013-01-11,1,F,arrest case no charge,1,13017451CF10A,(F3),0,2013-12-18,Grand Theft in the 3rd Degree,2013-12-18,2014-03-07,,0,,,,,Risk of Recidivism,2,Low,2013-01-12,Risk of Violence,3,Low,2013-01-12,2013-12-18,2014-03-07,3,0,340,1,1 +3300,dino bretti,dino,bretti,2013-09-20,Male,1968-03-24,48,Greater than 45,Caucasian,0,7,0,0,13,-96,2013-06-16 09:16:22,2013-08-29 09:24:35,13008503CF10A,2013-06-16,,96,F,Child Abuse,1,14004699TC10A,(M2),,2013-12-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-20,Risk of Violence,7,Medium,2013-09-20,2013-06-16,2013-08-29,13,0,80,1,1 +3301,rut ruiz,rut,ruiz,2013-10-02,Female,1985-11-09,30,25 - 45,African-American,0,2,0,0,0,-1,2013-10-01 09:36:03,2013-10-02 08:15:00,13018711MM10A,2013-10-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,2,Low,2013-10-02,2013-10-01,2013-10-02,0,0,912,0,0 +3302,brittany finder,brittany,finder,2013-12-20,Female,1990-12-07,25,25 - 45,Caucasian,0,5,0,0,2,-25,2013-11-25 07:41:27,2013-12-07 02:00:21,12004391CF10A,,2013-11-25,25,F,arrest case no charge,1,14045932TC40A,(M2),,2014-06-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-20,Risk of Violence,3,Low,2013-12-20,2015-07-10,2015-07-15,2,0,185,1,1 +3304,courtney tracey,courtney,tracey,2013-02-16,Male,1975-07-07,40,25 - 45,African-American,0,2,0,0,3,-1,2013-02-15 05:22:50,2013-02-16 07:12:34,13002368CF10A,2013-02-15,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-16,Risk of Violence,1,Low,2013-02-16,2013-02-15,2013-02-16,3,0,1140,0,0 +3305,lauren obrien,lauren,obrien,2013-05-07,Female,1966-10-15,49,Greater than 45,Caucasian,0,2,0,0,3,1025,2016-02-26 06:26:45,2016-02-27 09:07:48,12014029CF10A,2012-09-23,,226,F,Resist Officer w/Violence,1,16004917MU10A,(M1),0,2016-02-26,,2016-02-26,2016-02-27,,0,,,,,Risk of Recidivism,2,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2016-02-26,2016-02-27,3,0,1025,1,0 +3306,mauricio molina,mauricio,molina,2013-03-10,Male,1983-01-03,33,25 - 45,Caucasian,0,3,0,0,1,0,2013-03-10 01:25:31,2013-03-11 08:03:14,13012709TC10A,2013-03-09,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-10,Risk of Violence,2,Low,2013-03-10,2013-03-10,2013-03-11,1,1,1118,0,0 +3309,jimmy rivera,jimmy,rivera,2014-05-25,Male,1989-06-01,26,25 - 45,Caucasian,0,5,0,0,5,-1,2014-05-24 05:48:00,2014-05-25 08:36:19,14007264CF10A,2014-05-24,,1,F,Threat Public Servant,1,16000199CF10A,(M1),1,2016-01-04,,2016-01-05,2016-01-05,,0,,,,,Risk of Recidivism,5,Medium,2014-05-25,Risk of Violence,4,Low,2014-05-25,2016-01-05,2016-01-05,5,0,589,1,1 +3310,miguel torres,miguel,torres,2013-04-17,Male,1984-05-18,31,25 - 45,Hispanic,0,3,1,0,1,0,2013-04-17 01:33:57,2013-04-18 10:26:00,13007440MM10A,2013-04-17,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,5,Medium,2013-04-17,2013-08-04,2013-09-10,1,1,109,0,0 +3312,michael levy,michael,levy,2013-01-13,Male,1954-12-22,61,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-12 04:10:37,2013-01-13 01:00:33,13000727MM10A,2013-01-12,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,1,0,1174,0,0 +3314,michael mariani,michael,mariani,2013-09-05,Male,1985-04-29,30,25 - 45,Caucasian,0,4,0,0,2,-1,2013-09-04 08:06:26,2013-09-05 07:57:54,13012489CF10A,2013-09-04,,1,F,Use Of 2 Way Device To Fac Fel,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-09-04,2013-09-05,2,0,939,0,0 +3315,david margadonna,david,margadonna,2013-10-05,Male,1954-01-18,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-04 03:37:56,2013-10-06 04:38:04,13018914MM10A,2013-10-04,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-05,Risk of Violence,1,Low,2013-10-05,2013-10-04,2013-10-06,0,1,909,0,0 +3316,michelle micoff,michelle,micoff,2013-08-19,Female,1988-06-27,27,25 - 45,Caucasian,0,8,0,0,4,8,2013-08-27 12:17:52,2013-10-21 04:30:51,13039034TC10A,2013-08-06,,13,M,Leave Acc/Attend Veh/More $50,1,13012015CF10A,(M2),1,2013-08-26,Possession False Prescription,2013-08-27,2013-10-21,,0,,,,,Risk of Recidivism,8,High,2013-08-19,Risk of Violence,7,Medium,2013-08-19,2015-11-13,2015-12-16,4,0,7,1,1 +3318,paul haddad,paul,haddad,2013-03-07,Male,1968-03-01,48,Greater than 45,Caucasian,0,6,0,0,9,-1,2013-03-06 04:52:48,2013-03-07 06:01:55,13003370CF10A,2013-03-06,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-07,Risk of Violence,1,Low,2013-03-07,2014-09-07,2014-09-17,9,0,549,0,0 +3319,kimberly wisniewski,kimberly,wisniewski,2013-12-25,Female,1975-05-27,40,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-24 01:22:24,2013-12-25 12:46:12,13017732CF10A,2013-12-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-25,Risk of Violence,1,Low,2013-12-25,2013-12-24,2013-12-25,0,0,828,0,0 +3320,christopher hendricks,christopher,hendricks,2013-12-17,Male,1991-07-29,24,Less than 25,Caucasian,0,4,0,0,0,-1,2013-12-16 04:56:49,2013-12-19 04:53:49,13017365CF10A,2013-12-16,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-17,Risk of Violence,5,Medium,2013-12-17,2013-12-16,2013-12-19,0,2,836,0,0 +3322,octavius ruffin,octavius,ruffin,2014-06-20,Male,1994-02-09,22,Less than 25,African-American,0,4,0,0,0,-1,2014-06-19 08:05:05,2014-06-20 08:29:14,14008486CF10A,2014-06-19,,1,F,Grand Theft in the 3rd Degree,1,15000686MM40A,(M2),,2015-01-19,Retail/Farm/Fare/Theft,,,,0,,,,,Risk of Recidivism,4,Low,2014-06-20,Risk of Violence,5,Medium,2014-06-20,2014-06-19,2014-06-20,0,0,213,1,1 +3323,olvins raymondvil,olvins,raymondvil,2013-11-06,Male,1986-03-03,30,25 - 45,African-American,0,8,0,0,4,-1,2013-11-05 03:33:07,2013-11-21 03:07:11,13020894MM10A,2013-11-05,,1,M,Battery,1,14027518TC20A,(M2),,2014-04-07,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2013-11-06,Risk of Violence,8,High,2013-11-06,2013-11-05,2013-11-21,4,15,152,1,1 +3324,christopher obrien,christopher,obrien,2013-02-12,Male,1952-12-08,63,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-12 01:53:55,2013-02-12 08:00:45,13003098MM10A,2013-02-11,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-12,Risk of Violence,1,Low,2013-02-12,2013-02-12,2013-02-12,0,0,1144,0,0 +3325,julio rodriguezcruz,julio,rodriguezcruz,2013-05-13,Male,1969-07-07,46,Greater than 45,Hispanic,0,1,0,0,0,,,,12007422MO10A,,2012-04-09,399,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2014-07-17,2015-03-01,0,0,430,0,0 +3326,jamal murray,jamal,murray,2013-01-03,Male,1982-06-04,33,25 - 45,African-American,0,10,0,0,4,-1,2013-01-02 06:52:47,2013-01-03 09:21:03,13000071CF10A,2013-01-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-03,Risk of Violence,9,High,2013-01-03,2015-05-21,2020-01-01,4,0,868,0,0 +3328,merlene reid,merlene,reid,2013-01-23,Female,1994-12-15,21,Less than 25,African-American,1,6,0,0,1,81,2013-04-14 03:23:56,2013-04-15 03:16:10,13000263CF10A,2012-11-05,,79,F,Robbery Sudd Snatch No Weapon,1,13007188MM10A,(M2),0,2013-04-14,Petit Theft,2013-04-14,2013-04-15,,1,14005084CF10A,(F2),2014-04-11,Agg Fleeing/Eluding High Speed,Risk of Recidivism,6,Medium,2013-01-23,Risk of Violence,6,Medium,2013-01-23,2013-04-14,2013-04-15,1,0,81,1,1 +3329,barry sippin,barry,sippin,2013-10-07,Male,1972-11-18,43,25 - 45,Caucasian,0,4,0,0,0,-5,2013-10-02 05:54:19,2013-10-03 07:47:02,13018778MM10A,2013-10-02,,5,M,Driving Under The Influence,1,13021018MM10A,(M1),0,2013-11-07,Driving Under The Influence,2013-11-07,2014-01-05,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-11-07,2014-01-05,0,0,31,1,1 +3331,marvin patterson,marvin,patterson,2013-01-12,Male,1990-02-22,26,25 - 45,African-American,0,10,0,0,3,0,2013-01-12 12:57:00,2013-02-15 09:19:58,13000495CF10A,2013-01-11,,1,F,Pos Cannabis W/Intent Sel/Del,1,14003336MM20A,(M1),,2014-11-27,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,10,High,2013-01-12,Risk of Violence,10,High,2013-01-12,2013-01-12,2013-02-15,3,34,684,1,1 +3332,jean maxime,jean,maxime,2013-09-05,Male,1964-11-07,51,Greater than 45,African-American,0,1,0,0,1,-17,2013-08-19 01:28:26,2013-08-26 07:15:46,13011616CF10A,2013-08-19,,17,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-05,Risk of Violence,1,Low,2013-09-05,2016-02-11,2016-02-23,1,0,889,0,0 +3333,keith plews,keith,plews,2013-02-07,Male,1976-12-11,39,25 - 45,Caucasian,0,1,0,0,3,-1,2013-02-06 07:58:18,2013-02-07 10:26:20,12017764CF10A,,2013-02-06,1,F,arrest case no charge,1,14017501MM10A,(M1),0,2014-12-12,Resist/Obstruct W/O Violence,2014-12-12,2015-01-06,,1,14017501MM10A,(M1),2014-12-12,Assault On Law Enforc Officer,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2014-12-12,2015-01-06,3,0,673,1,1 +3335,lilian lazo,lilian,lazo,2013-02-25,Female,1985-11-25,30,25 - 45,Hispanic,0,3,0,0,0,-1,2013-02-24 07:01:48,2013-02-25 07:16:28,13003836MM10A,2013-02-24,,1,M,Battery,1,14008206MU10A,(M1),0,2014-03-03,Driving Under The Influence,2014-03-03,2014-03-03,,0,,,,,Risk of Recidivism,3,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,2014-03-03,2014-03-03,0,0,371,0,1 +3337,jemmal cameron,jemmal,cameron,2014-11-05,Male,1983-12-26,32,25 - 45,African-American,0,8,0,0,14,-1,2014-11-04 03:33:19,2014-11-05 10:29:37,14014807CF10A,2014-11-04,,1,F,Felony Driving While Lic Suspd,1,14099063TC30A,(M2),,2014-11-27,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2014-11-05,Risk of Violence,2,Low,2014-11-05,2014-11-04,2014-11-05,14,0,22,1,1 +3338,robert cannon,robert,cannon,2013-12-16,Male,1994-01-07,22,Less than 25,African-American,0,6,0,0,0,-2,2013-12-14 09:58:29,2013-12-15 01:35:55,13023191MM10A,2013-12-14,,2,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-16,Risk of Violence,5,Medium,2013-12-16,2014-02-19,2014-02-27,0,0,65,0,0 +3339,gregory luff,gregory,luff,2013-02-22,Male,1956-11-07,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-21 11:47:36,2013-02-22 01:28:06,13002672CF10A,2013-02-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-02-21,2013-02-22,0,0,1134,0,0 +3340,deon warren,deon,warren,2014-04-01,Male,1977-08-06,38,25 - 45,African-American,0,7,5,0,37,-1,2014-03-31 08:38:47,2014-05-01 05:20:12,14025752TC30A,,2014-03-31,1,M,arrest case no charge,1,14012415CF10A,(F3),,2014-08-17,Stalking (Aggravated),,,,1,14012415CF10A,(F3),2014-08-17,Stalking (Aggravated),Risk of Recidivism,7,Medium,2014-04-01,Risk of Violence,2,Low,2014-04-01,2014-03-31,2014-05-01,37,30,138,1,1 +3341,jack desrouleaux,jack,desrouleaux,2013-05-15,Male,1993-01-22,23,Less than 25,African-American,0,6,0,0,2,0,2013-05-15 12:48:05,2014-01-08 08:48:48,12011362CF10A,,2013-05-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-15,Risk of Violence,5,Medium,2013-05-15,2013-05-15,2014-01-08,2,238,1052,0,0 +3342,huberman saintil,huberman,saintil,2014-06-14,Male,1973-08-26,42,25 - 45,African-American,0,1,0,0,0,0,2014-06-14 02:55:47,2014-06-15 07:53:59,14009391MM10A,2014-06-14,,0,M,Battery,1,16002663MM10A,(M1),,2016-03-20,,,,,0,,,,,Risk of Recidivism,1,Low,2014-06-14,Risk of Violence,1,Low,2014-06-14,2014-06-14,2014-06-15,0,1,645,1,1 +3343,leroy farmer,leroy,farmer,2013-06-21,Male,1995-04-21,20,Less than 25,African-American,1,3,0,0,1,-37,2013-05-15 12:55:12,2013-05-31 11:04:55,13006815CF10A,,2013-05-15,37,F,arrest case no charge,1,13011601CF10A,(F2),0,2013-08-19,Robbery / No Weapon,2013-08-19,2014-01-09,,1,13011601CF10A,(F2),2013-08-19,Robbery / No Weapon,Risk of Recidivism,3,Low,2013-06-21,Risk of Violence,7,Medium,2013-06-21,2013-08-19,2014-01-09,1,0,59,1,1 +3344,demetrius johnson,demetrius,johnson,2013-04-01,Male,1977-08-06,38,25 - 45,African-American,0,7,0,0,2,0,2013-04-01 10:35:17,2013-10-11 05:44:04,13004667CF10A,2013-04-01,,0,F,Burglary Dwelling Assault/Batt,1,14000793CF10A,(F3),1,2014-01-18,Stalking (Aggravated),2014-01-19,2014-01-31,,1,14000793CF10A,(F3),2014-01-18,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-04-01,Risk of Violence,3,Low,2013-04-01,2013-04-01,2013-10-11,2,193,292,1,1 +3345,denny ricatti,denny,ricatti,2013-01-26,Female,1982-02-13,34,25 - 45,Caucasian,0,3,0,0,2,-1,2013-01-25 06:05:27,2013-01-26 09:13:23,13001250CF10A,2013-01-25,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-26,Risk of Violence,2,Low,2013-01-26,2013-01-25,2013-01-26,2,0,1161,0,0 +3347,coletter jenkins,coletter,jenkins,2014-06-01,Female,1979-10-31,36,25 - 45,African-American,0,3,0,0,7,-1,2014-05-31 04:17:00,2014-06-02 05:11:21,14007552CF10A,2014-05-31,,1,F,Criminal Mischief,1,15007578TC20A,(M2),,2015-01-01,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,3,Low,2014-06-01,Risk of Violence,3,Low,2014-06-01,2014-05-31,2014-06-02,7,1,214,1,1 +3348,zachary mueller,zachary,mueller,2013-10-04,Male,1980-12-30,35,25 - 45,Caucasian,0,4,0,0,7,-86,2013-07-10 06:28:42,2013-09-24 06:40:25,13009692CF10A,2013-07-10,,86,F,Sexual Battery / Vict 12 Yrs +,1,14025176TC10A,(M2),,2014-06-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-04,Risk of Violence,3,Low,2013-10-04,2013-07-10,2013-09-24,7,0,262,1,1 +3349,kerby joseph,kerby,joseph,2013-05-26,Male,1980-02-08,36,25 - 45,African-American,0,3,0,0,0,-1,2013-05-25 06:18:54,2013-05-26 08:34:19,13010075MM10A,2013-05-25,,1,M,Battery,1,14069099TC30A,(M2),,2014-08-11,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-26,0,0,442,1,1 +3350,yvon agenord,yvon,agenord,2013-11-05,Male,1984-11-05,31,25 - 45,African-American,0,1,0,0,1,-14,2013-10-22 11:46:11,2013-11-05 11:20:18,13014734CF10A,2013-10-21,,15,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-05,Risk of Violence,2,Low,2013-11-05,2013-10-22,2013-11-05,1,0,878,0,0 +3351,ashley garris,ashley,garris,2014-03-28,Female,1988-03-12,28,25 - 45,African-American,0,4,0,0,3,-1,2014-03-27 12:02:40,2014-04-01 05:04:37,14003474CF10A,,2014-03-27,1,F,arrest case no charge,1,14012803CF10A,(F3),,2014-07-09,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-28,Risk of Violence,4,Low,2014-03-28,2014-03-27,2014-04-01,3,4,103,1,1 +3354,nesta elliot,nesta,elliot,2013-09-06,Male,1987-06-02,28,25 - 45,African-American,0,2,0,0,1,0,2013-09-06 04:34:32,2013-09-06 09:27:16,13012594CF10A,2013-09-06,,0,F,"Poss3,4 Methylenedioxymethcath",1,15018514TC20A,(M2),,2015-03-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-06,Risk of Violence,2,Low,2013-09-06,2013-09-06,2013-09-06,1,0,550,1,1 +3356,peter mercogliano,peter,mercogliano,2014-01-17,Male,1955-11-07,60,Greater than 45,Caucasian,0,1,0,0,3,-120,2013-09-19 04:36:11,2014-01-17 12:32:44,13013207CF10A,2013-09-19,,120,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-17,Risk of Violence,2,Low,2014-01-17,2013-09-19,2014-01-17,3,0,805,0,0 +3357,willie titus,willie,titus,2014-03-29,Male,1972-11-24,43,25 - 45,African-American,0,4,0,0,0,-1,2014-03-28 09:13:42,2014-03-29 10:09:02,14004379CF10A,2014-03-28,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-29,Risk of Violence,1,Low,2014-03-29,2014-03-28,2014-03-29,0,0,734,0,0 +3358,donald brundidge,donald,brundidge,2014-03-11,Male,1976-02-15,40,25 - 45,African-American,0,1,0,0,1,-1,2014-03-10 09:24:25,2014-03-12 09:09:50,14003372CF10A,,2014-03-10,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2014-03-10,2014-03-12,1,1,752,0,0 +3359,eugene tucker,eugene,tucker,2014-11-23,Male,1985-02-20,31,25 - 45,African-American,0,9,2,0,15,-1,2014-11-22 01:30:32,2014-11-24 03:47:31,14015737CF10A,2014-11-22,,1,F,Possession of Cocaine,1,15000613CF10A,(F3),0,2015-01-14,Possession of Cocaine,2015-01-14,2015-01-15,,0,,,,,Risk of Recidivism,9,High,2014-11-23,Risk of Violence,5,Medium,2014-11-23,2015-01-14,2015-01-15,15,1,52,1,1 +3360,jason kesler,jason,kesler,2013-09-04,Male,1962-01-23,54,Greater than 45,African-American,0,7,0,0,6,-1,2013-09-03 10:58:18,2013-09-17 09:13:20,13012434CF10A,2013-09-03,,1,F,Possession of Cocaine,1,13014135CF10A,(F3),0,2013-10-09,Possession of Cocaine,2013-10-09,2013-10-23,,0,,,,,Risk of Recidivism,7,Medium,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-10-09,2013-10-23,6,13,35,1,1 +3361,eyzzaquirre walquer,eyzzaquirre,walquer,2013-10-07,Male,1989-12-13,26,25 - 45,African-American,0,6,0,0,1,,,,10012932CF10A,,2012-01-22,624,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-07,Risk of Violence,7,Medium,2013-10-07,,,1,0,907,0,0 +3362,brent smith,brent,smith,2014-04-16,Male,1991-05-17,24,Less than 25,African-American,0,9,0,0,17,-1,2014-04-15 09:46:43,2014-08-23 10:50:14,14006408CF10A,,2014-04-15,1,F,arrest case no charge,1,15004672MM10A,(M1),0,2015-04-24,Resist/Obstruct W/O Violence,2015-04-24,2015-12-22,,0,,,,,Risk of Recidivism,9,High,2014-04-16,Risk of Violence,9,High,2014-04-16,2015-04-24,2015-12-22,17,129,373,1,1 +3363,diego delgadillo,diego,delgadillo,2014-02-12,Male,1974-11-17,41,25 - 45,Hispanic,0,1,0,0,0,-3,2014-02-09 05:01:48,2014-02-10 08:40:41,14001847CF10A,2014-02-09,,3,F,Escape,1,14042225TC30A,(M2),99,2014-05-12,Operating W/O Valid License,2014-08-19,2014-08-19,,0,,,,,Risk of Recidivism,1,Low,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-08-19,2014-08-19,0,0,89,1,1 +3369,travis wright,travis,wright,2013-11-15,Male,1995-01-05,21,Less than 25,African-American,0,9,0,1,1,-1,2013-11-14 04:18:05,2014-07-14 10:15:01,13015861CF10A,,2013-11-14,1,F,arrest case no charge,1,15011227CF10A,(F3),15,2015-08-16,Attempted Burg/struct/unocc,2015-08-31,2015-12-01,,0,,,,,Risk of Recidivism,9,High,2013-11-15,Risk of Violence,8,High,2013-11-15,2014-08-21,2014-09-19,1,241,279,0,1 +3370,brandi lopez,brandi,lopez,2014-07-05,Female,1987-01-11,29,25 - 45,Hispanic,0,2,0,0,1,-1,2014-07-04 08:03:45,2014-07-05 08:54:02,14009215CF10A,2014-07-04,,1,F,Poss Contr Subst W/o Prescript,1,15005596MM10A,(M1),0,2015-04-22,Possess Cannabis/20 Grams Or Less,2015-04-22,2015-04-23,,0,,,,,Risk of Recidivism,2,Low,2014-07-05,Risk of Violence,2,Low,2014-07-05,2015-04-22,2015-04-23,1,0,291,1,1 +3371,zachery derenoncourt,zachery,derenoncourt,2013-08-22,Male,1994-01-11,22,Less than 25,African-American,0,3,0,1,0,-1,2013-08-21 06:04:09,2013-08-22 04:45:08,13011772CF10A,2013-08-21,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-22,Risk of Violence,5,Medium,2013-08-22,2013-08-21,2013-08-22,0,0,953,0,0 +3375,edwin ramirez,edwin,ramirez,2013-08-22,Male,1963-08-17,52,Greater than 45,Hispanic,0,7,0,0,9,-1,2013-08-21 10:07:31,2013-09-24 05:39:04,13011735CF10A,2013-08-21,,1,F,Felony Petit Theft,1,14007370CF10A,(F3),7,2014-05-20,Grand Theft in the 3rd Degree,2014-05-27,2015-03-05,,0,,,,,Risk of Recidivism,7,Medium,2013-08-22,Risk of Violence,1,Low,2013-08-22,2013-08-21,2013-09-24,9,33,271,1,1 +3376,marie altenor,marie,altenor,2013-12-15,Female,1975-09-12,40,25 - 45,Other,0,1,0,0,0,-1,2013-12-14 05:59:05,2013-12-15 09:12:57,13017298CF10A,2013-12-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-14,2013-12-15,0,0,838,0,0 +3377,kelly abernath,kelly,abernath,2013-09-28,Female,1978-11-15,37,25 - 45,Caucasian,0,1,0,0,0,,,,13013637CF10A,2013-09-28,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-28,Risk of Violence,1,Low,2013-09-28,,,0,0,916,0,0 +3379,jacques duvignaud,jacques,duvignaud,2013-02-17,Male,1994-08-05,21,Less than 25,Other,0,4,0,0,1,982,2015-10-27 11:54:28,2015-11-02 09:32:34,13002420CF10A,2013-02-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2015-10-27,2015-11-02,1,0,982,0,0 +3380,valarie salters,valarie,salters,2013-09-30,Female,1970-11-27,45,Greater than 45,African-American,0,4,0,0,1,-1,2013-09-29 01:24:57,2013-10-05 09:22:55,13013670CF10A,2013-09-29,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,2,Low,2013-09-30,2013-09-29,2013-10-05,1,5,914,0,0 +3381,charles vilsaint,charles,vilsaint,2014-06-04,Male,1986-06-10,29,25 - 45,African-American,0,2,0,0,1,0,2014-06-04 04:26:13,2014-06-04 09:33:43,14020726MU10A,2014-06-04,,0,M,DUI/Property Damage/Persnl Inj,1,14017959MM10A,(M1),1,2014-12-22,Unlaw Use False Name/Identity,2014-12-23,2015-03-03,,0,,,,,Risk of Recidivism,2,Low,2014-06-04,Risk of Violence,2,Low,2014-06-04,2014-12-02,2014-12-05,1,0,181,0,1 +3383,anthony pires,anthony,pires,2014-07-09,Male,1969-10-29,46,Greater than 45,African-American,0,5,0,0,10,-1,2014-07-08 08:03:39,2014-07-18 02:00:12,14009373CF10A,2014-07-08,,1,F,Felony Battery (Dom Strang),1,16002990CF10A,(M1),0,2016-03-09,Possess Cannabis/20 Grams Or Less,2016-03-09,2016-03-13,,0,,,,,Risk of Recidivism,5,Medium,2014-07-09,Risk of Violence,1,Low,2014-07-09,2016-03-09,2016-03-13,10,9,609,1,1 +3384,dominic disalvo,dominic,disalvo,2013-09-05,Male,1994-07-25,21,Less than 25,Caucasian,0,8,1,2,1,-1,2013-09-04 08:11:26,2013-09-17 04:53:45,13012512CF10A,2013-09-04,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-05,Risk of Violence,9,High,2013-09-05,2015-05-29,2015-06-03,1,12,631,0,0 +3385,jeffery johnson,jeffery,johnson,2013-03-10,Male,1965-10-01,50,Greater than 45,African-American,1,9,0,0,7,,,,10000637MM10A,2010-01-11,,1154,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-10,Risk of Violence,4,Low,2013-03-10,,,7,0,1118,0,0 +3386,robert kingery,robert,kingery,2013-11-08,Male,1980-05-11,35,25 - 45,Caucasian,0,5,0,0,6,-10,2013-10-29 08:37:39,2013-10-31 02:30:32,13015104CF10A,2013-10-29,,10,F,Battery on a Person Over 65,1,14002224CF10A,(M2),1,2014-02-17,Susp Drivers Lic 1st Offense,2014-02-18,2014-03-24,,1,15011833MM10A,(M2),2015-11-11,Assault,Risk of Recidivism,5,Medium,2013-11-08,Risk of Violence,4,Low,2013-11-08,2015-11-12,2015-11-25,6,0,101,1,1 +3387,ramon harris,ramon,harris,2013-06-03,Male,1963-07-18,52,Greater than 45,African-American,0,1,0,0,1,1,2013-06-04 11:14:23,2013-08-14 08:45:53,13010504MM10A,2013-06-01,,2,M,Viol Injunct Domestic Violence,1,13007934CF10A,(M1),0,2013-06-04,Viol Injunction Protect Dom Vi,2013-06-04,2013-08-14,,1,13007934CF10A,(F2),2013-06-04,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,1,Low,2013-06-03,Risk of Violence,1,Low,2013-06-03,2013-06-04,2013-08-14,1,0,1,1,1 +3390,kevin oconnell,kevin,oconnell,2013-08-06,Male,1967-07-25,48,Greater than 45,Caucasian,0,1,0,0,0,0,2013-08-06 03:46:18,2013-08-06 07:43:53,13014856MM10A,2013-08-06,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-06,Risk of Violence,1,Low,2013-08-06,2014-11-20,2014-11-25,0,0,471,0,0 +3391,tanisha robinson,tanisha,robinson,2013-03-25,Female,1986-07-07,29,25 - 45,African-American,0,8,0,3,9,-1,2013-03-24 05:22:39,2013-10-24 06:02:50,13005739MM10A,2013-03-24,,1,M,Petit Theft $100- $300,1,13006154CF10A,(F3),,2013-04-26,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,8,High,2013-03-25,Risk of Violence,6,Medium,2013-03-25,2013-03-24,2013-10-24,9,0,32,1,1 +3392,raymond burr,raymond,burr,2013-03-09,Male,1968-02-05,48,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-08 05:10:48,2013-03-09 08:03:03,13004719MM10A,2013-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,0,0,1119,0,0 +3393,david ingram,david,ingram,2013-05-09,Male,1984-10-26,31,25 - 45,African-American,0,6,0,0,10,-8,2013-05-01 10:12:11,2013-05-09 11:10:11,09014857CF10A,,2013-05-01,8,F,arrest case no charge,1,14007833TC30A,(M2),395,2014-01-13,Susp Drivers Lic 1st Offense,2015-02-12,2015-02-27,,0,,,,,Risk of Recidivism,6,Medium,2013-05-09,Risk of Violence,4,Low,2013-05-09,2015-05-06,2015-06-01,10,0,249,1,1 +3394,fabio huarotte,fabio,huarotte,2014-10-22,Male,1994-08-12,21,Less than 25,Caucasian,0,8,0,0,3,-1,2014-10-21 01:03:44,2015-02-25 03:31:21,14014198CF10A,2014-10-21,,1,F,Pos Cannabis W/Intent Sel/Del,1,14014887CF10A,(F3),,2014-11-01,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,8,High,2014-10-22,Risk of Violence,8,High,2014-10-22,2014-10-21,2015-02-25,3,0,10,1,1 +3395,lester aguilar,lester,aguilar,2014-10-04,Male,1983-08-23,32,25 - 45,Other,0,1,0,0,0,0,2014-10-04 06:07:06,2014-10-26 12:23:00,14013389CF10A,2014-10-04,,0,F,Tamper With Witness/Victim/CI,1,15005307TC10A,(M2),0,2015-02-23,Operating W/O Valid License,2015-02-23,2015-02-23,,0,,,,,Risk of Recidivism,1,Low,2014-10-04,Risk of Violence,1,Low,2014-10-04,2015-02-23,2015-02-23,0,22,142,0,1 +3396,clarence oliver,clarence,oliver,2014-02-16,Male,1968-05-20,47,Greater than 45,African-American,0,5,0,0,0,-1,2014-02-15 05:33:03,2014-02-18 09:23:00,14002659MM10A,2014-02-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-16,Risk of Violence,3,Low,2014-02-16,2014-02-15,2014-02-18,0,2,775,0,0 +3397,freddie austin,freddie,austin,2013-10-19,Male,1954-01-25,62,Greater than 45,African-American,0,7,0,0,1,,,,12003226MM10A,2012-02-14,,613,M,Possess Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-19,Risk of Violence,6,Medium,2013-10-19,2005-01-04,2008-01-26,1,0,895,0,0 +3398,finest williams,finest,williams,2013-04-19,Male,1995-03-27,21,Less than 25,African-American,1,10,2,2,3,-1,2013-04-18 04:32:05,2013-04-19 01:28:17,13005544CF10A,2013-04-18,,1,F,Criminal Mischief,1,13012228CF10A,(F3),1,2013-08-29,Tampering With Physical Evidence,2013-08-30,2013-08-30,,0,,,,,Risk of Recidivism,10,High,2013-04-19,Risk of Violence,10,High,2013-04-19,2016-02-14,2016-03-29,3,0,132,1,1 +3399,michael habersham,michael,habersham,2013-02-21,Male,1980-06-27,35,25 - 45,African-American,3,10,0,0,13,-1,2013-02-20 04:28:30,2013-02-21 02:00:22,13002617CF10A,2013-02-20,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-21,Risk of Violence,5,Medium,2013-02-21,2014-03-20,2014-09-02,13,0,392,0,0 +3401,anthony dean,anthony,dean,2013-12-02,Male,1970-02-28,46,Greater than 45,African-American,0,1,0,0,3,-22,2013-11-10 12:30:52,2013-12-01 03:01:26,13021184MM10A,2013-11-10,,22,M,Operating W/O Valid License,1,14009088TC10A,(M2),59,2014-01-01,Operating W/O Valid License,2014-03-01,2014-03-20,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2015-04-06,2015-04-15,3,0,30,1,1 +3403,alvin rose,alvin,rose,2013-02-07,Male,1981-05-28,34,25 - 45,African-American,0,4,0,0,5,-1,2013-02-06 08:44:54,2013-02-11 12:05:50,13001845CF10A,2013-02-06,,1,F,Grand Theft in the 3rd Degree,1,14000700MO10A,(MO3),0,2014-01-14,Poss Of Controlled Substance,2014-01-14,2014-01-17,,0,,,,,Risk of Recidivism,4,Low,2013-02-07,Risk of Violence,3,Low,2013-02-07,2014-01-14,2014-01-17,5,4,341,1,1 +3404,eugene vaughn,eugene,vaughn,2013-07-01,Male,1963-06-10,52,Greater than 45,African-American,0,1,0,0,2,-5,2013-06-26 02:12:03,2013-06-29 04:23:12,11000301CF10A,,2013-06-26,5,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-01,Risk of Violence,1,Low,2013-07-01,2013-06-26,2013-06-29,2,0,1005,0,0 +3405,charletha nesmith,charletha,nesmith,2013-03-20,Female,1977-02-10,39,25 - 45,African-American,0,2,1,0,7,114,2013-07-12 12:45:34,2014-01-07 03:49:13,12018408CF10A,2012-12-18,,92,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-07-12,2014-01-07,7,0,114,0,0 +3406,aladdin ruiz,aladdin,ruiz,2014-01-10,Male,1995-02-13,21,Less than 25,Caucasian,0,8,0,0,0,-1,2014-01-09 11:12:45,2014-01-18 12:46:35,14000392MM10A,2014-01-09,,1,M,Battery,1,14003688CF10A,(F3),0,2014-03-16,Felony Battery (Dom Strang),2014-03-16,2014-04-30,,1,14006595MM10A,(M1),2014-03-16,Battery,Risk of Recidivism,8,High,2014-01-10,Risk of Violence,9,High,2014-01-10,2014-03-16,2014-04-30,0,8,65,1,1 +3407,greg godette,greg,godette,2014-02-10,Male,1962-10-24,53,Greater than 45,Caucasian,0,1,0,0,1,-2,2014-02-08 04:19:13,2014-02-09 07:31:52,14001786CF10A,2014-02-07,,3,M,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-08,2014-02-09,1,0,781,0,0 +3408,alexandria cragg,alexandria,cragg,2014-11-02,Female,1996-09-09,19,Less than 25,Caucasian,0,3,0,0,0,-1,2014-11-01 02:38:12,2014-11-02 09:44:18,14014686CF10A,2014-11-01,,1,F,Felony Battery w/Prior Convict,1,15011796MM10A,(M1),,2015-11-11,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,3,Low,2014-11-02,Risk of Violence,5,Medium,2014-11-02,2014-11-01,2014-11-02,0,0,374,1,1 +3409,stephen vaughn,stephen,vaughn,2014-01-10,Male,1993-07-05,22,Less than 25,African-American,0,6,0,0,0,-1,2014-01-09 05:27:43,2014-01-12 03:57:27,14000396MM10A,2014-01-09,,1,M,Open Carrying Of Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-10,Risk of Violence,8,High,2014-01-10,2014-01-09,2014-01-12,0,2,812,0,0 +3410,keithon hunter,keithon,hunter,2013-02-24,Male,1970-12-15,45,Greater than 45,African-American,0,3,0,0,1,-1,2013-02-23 11:52:38,2013-02-26 08:07:15,13001358CF10A,,2013-02-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2015-01-22,2015-02-26,1,2,697,0,0 +3411,haley belba,haley,belba,2014-01-09,Female,1988-12-10,27,25 - 45,Caucasian,0,2,0,0,0,-1,2014-01-08 04:06:52,2014-01-09 06:22:32,14000319CF10A,2014-01-08,,1,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-09,Risk of Violence,2,Low,2014-01-09,2014-01-08,2014-01-09,0,0,813,0,0 +3412,alexander schwartz,alexander,schwartz,2013-02-04,Male,1990-10-06,25,25 - 45,Caucasian,0,2,0,0,0,-1,2013-02-03 11:41:54,2013-02-04 07:33:19,13002440MM10A,2013-02-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,3,Low,2013-02-04,2013-04-14,2013-04-15,0,0,69,0,0 +3413,anthony avello,anthony,avello,2014-04-22,Male,1985-12-26,30,25 - 45,Caucasian,0,4,0,0,0,0,2014-04-22 12:06:09,2014-04-22 10:17:53,14005540CF10A,2014-04-21,,1,F,Felony DUI (level 3),1,14001309MM30A,(M1),,2014-07-10,Contribute Delinq/Depnd of Minor,,,,0,,,,,Risk of Recidivism,4,Low,2014-04-22,Risk of Violence,2,Low,2014-04-22,2014-04-22,2014-04-22,0,0,79,1,1 +3415,juvuan richards,juvuan,richards,2013-04-12,Male,1984-06-30,31,25 - 45,African-American,0,5,0,0,2,0,2013-04-12 12:36:20,2013-04-12 08:37:01,13005256CF10A,2013-04-11,,1,F,Driving While License Revoked,1,14014357MU10A,(M1),0,2014-04-12,Driving Under The Influence,2014-04-12,2014-04-13,,0,,,,,Risk of Recidivism,5,Medium,2013-04-12,Risk of Violence,4,Low,2013-04-12,2014-04-12,2014-04-13,2,0,365,1,1 +3417,joseph scognamiglio,joseph,scognamiglio,2014-02-13,Male,1987-11-11,28,25 - 45,Caucasian,0,3,0,0,3,-1,2014-02-12 07:14:00,2014-02-13 09:25:50,14001485CF10A,,2014-02-12,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-13,Risk of Violence,2,Low,2014-02-13,2014-02-12,2014-02-13,3,0,778,0,0 +3418,michael reed,michael,reed,2013-10-30,Male,1980-04-08,36,25 - 45,African-American,0,2,0,0,3,-1,2013-10-29 03:05:24,2013-10-31 12:47:14,13020458MM10A,2013-10-29,,1,M,Battery,1,14007209TC10A,(M2),,2013-12-03,Driving License Suspended,,,,1,14001861MM10A,(M1),2014-01-12,Battery,Risk of Recidivism,2,Low,2013-10-30,Risk of Violence,2,Low,2013-10-30,2013-10-29,2013-10-31,3,1,34,1,1 +3419,dontavious evans,dontavious,evans,2013-01-11,Male,1988-09-28,27,25 - 45,African-American,0,5,0,0,7,-1,2013-01-10 07:56:22,2013-01-20 09:09:22,12018672CF10A,,2013-01-10,1,F,arrest case no charge,1,13008470CF10A,(M1),0,2013-06-15,Unlaw Use False Name/Identity,2013-06-15,2014-06-03,,0,,,,,Risk of Recidivism,5,Medium,2013-01-11,Risk of Violence,5,Medium,2013-01-11,2013-02-26,2013-03-02,7,9,46,0,1 +3420,merrill joseph,merrill,joseph,2013-05-06,Male,1974-04-11,42,25 - 45,African-American,0,2,0,0,1,0,2013-05-06 02:34:41,2013-05-06 07:48:39,13006496CF10A,2013-05-06,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-06,2013-05-06,1,0,1061,0,0 +3422,bryant mohns,bryant,mohns,2013-10-16,Male,1980-06-20,35,25 - 45,Caucasian,0,5,0,0,0,0,2013-10-16 03:11:56,2013-11-26 02:04:13,13014462CF10A,2013-10-15,,1,F,Possession of Cocaine,1,14002488MM10A,(M1),1,2014-02-07,Resist/Obstruct W/O Violence,2014-02-08,2014-02-28,,0,,,,,Risk of Recidivism,5,Medium,2013-10-16,Risk of Violence,1,Low,2013-10-16,2013-10-16,2013-11-26,0,41,114,1,1 +3423,jamie anderson,jamie,anderson,2013-04-15,Female,1983-04-12,33,25 - 45,Caucasian,0,2,0,0,2,-29,2013-03-17 11:15:34,2013-03-18 01:35:54,13003885CF10A,2013-03-17,,29,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-03-17,2013-03-18,2,0,1082,0,0 +3425,victor soto,victor,soto,2013-01-30,Male,1991-07-16,24,Less than 25,Hispanic,1,10,0,0,6,-1,2013-01-29 10:25:07,2013-09-05 06:32:29,13001413CF10A,2013-01-29,,1,F,"Deliver 3,4 Methylenediox",1,15001013MM40A,(M1),,2015-02-18,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,10,High,2013-01-30,Risk of Violence,9,High,2013-01-30,2013-09-05,2014-08-06,6,553,749,1,1 +3426,timothy law,timothy,law,2014-05-16,Male,1990-08-31,25,25 - 45,African-American,0,10,1,0,21,-14,2014-05-02 01:32:45,2014-05-04 08:50:08,14005642CF10A,,2014-05-15,1,F,arrest case no charge,1,15006122CF10A,(F3),141,2015-02-11,Possession of Cannabis,2015-07-02,2015-07-04,,0,,,,,Risk of Recidivism,10,High,2014-05-16,Risk of Violence,10,High,2014-05-16,2014-10-01,2014-10-17,21,0,138,0,1 +3427,christina parker,christina,parker,2014-03-16,Female,1973-09-10,42,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-15 05:38:42,2014-03-16 07:22:05,14004499MM10A,2014-03-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0 +3429,xavier johnson,xavier,johnson,2013-01-19,Male,1994-10-01,21,Less than 25,African-American,0,6,0,0,0,-1,2013-01-18 07:32:20,2013-01-22 05:57:43,13000879CF10A,2013-01-18,,1,F,Grand Theft in the 3rd Degree,1,13034281TC20A,(M2),,2013-05-24,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-19,Risk of Violence,9,High,2013-01-19,2013-01-18,2013-01-22,0,3,125,1,1 +3431,candace oneal,candace,oneal,2013-01-14,Female,1987-07-23,28,25 - 45,African-American,0,2,0,0,0,0,2013-01-14 01:05:43,2013-01-14 06:50:40,13000796MM10A,2013-01-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,2,Low,2013-01-14,2013-01-14,2013-01-14,0,0,1173,0,0 +3434,stanley rich,stanley,rich,2014-07-16,Male,1988-11-16,27,25 - 45,African-American,0,10,0,0,25,18,2014-08-03 09:08:30,2014-09-13 04:26:01,14004591CF10A,,2014-05-27,50,F,arrest case no charge,1,14010582CF10A,(F2),0,2014-08-03,Aggravated Battery / Pregnant,2014-08-03,2014-09-13,,1,14010582CF10A,(F2),2014-08-03,Aggravated Battery / Pregnant,Risk of Recidivism,10,High,2014-07-16,Risk of Violence,9,High,2014-07-16,2014-08-03,2014-09-13,25,0,18,1,1 +3437,lizibell aviles,lizibell,aviles,2013-08-27,Female,1994-09-01,21,Less than 25,Caucasian,0,6,0,0,0,-1,2013-08-26 08:11:05,2013-08-29 05:55:18,13012029CF10A,2013-08-26,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-27,Risk of Violence,7,Medium,2013-08-27,2013-08-26,2013-08-29,0,2,948,0,0 +3438,leroy cash,leroy,cash,2013-04-20,Male,1990-04-05,26,25 - 45,Caucasian,0,6,0,0,0,0,2013-04-20 06:26:20,2013-04-25 09:31:32,13007655MM10A,2013-04-20,,0,M,Battery,1,13014026CF10A,(M2),1,2013-10-05,Prowling/Loitering,2013-10-06,2013-10-06,,0,,,,,Risk of Recidivism,6,Medium,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2013-04-20,2013-04-25,0,5,168,1,1 +3439,jose santos,jose,santos,2013-02-24,Male,1980-04-06,36,25 - 45,Caucasian,0,1,0,0,0,-1,2013-02-23 08:43:27,2013-02-24 06:58:35,13002795CF10A,2013-02-23,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2013-02-23,2013-02-24,0,0,1132,0,0 +3440,travis davis,travis,davis,2013-04-28,Male,1993-04-07,23,Less than 25,African-American,0,8,0,0,1,237,2013-12-21 01:36:23,2013-12-21 09:34:17,12006269MM10A,2012-03-26,,398,M,Possess Cannabis/20 Grams Or Less,1,13048874TC10A,(M2),0,2013-12-21,Operating W/O Valid License,2013-12-21,2013-12-21,,0,,,,,Risk of Recidivism,8,High,2013-04-28,Risk of Violence,9,High,2013-04-28,2013-12-21,2013-12-21,1,0,237,0,1 +3441,alton lankford,alton,lankford,2013-09-21,Male,1967-01-31,49,Greater than 45,Caucasian,0,7,0,0,0,-1,2013-09-20 05:30:49,2013-09-22 01:59:44,13013268CF10A,2013-09-20,,1,F,Possession of Cocaine,1,14008230CF10A,(F3),0,2014-06-13,Grand Theft in the 3rd Degree,2014-06-13,2015-03-19,,0,,,,,Risk of Recidivism,7,Medium,2013-09-21,Risk of Violence,2,Low,2013-09-21,2013-12-06,2014-04-03,0,1,76,0,1 +3442,christopher tindall,christopher,tindall,2013-09-09,Male,1986-12-09,29,25 - 45,African-American,0,8,0,0,11,-68,2013-07-03 02:11:36,2013-09-06 07:34:10,13009376CF10A,2013-07-02,,69,F,Possession of Cocaine,1,15003059MM10A,(M1),0,2015-03-14,Unlaw Use False Name/Identity,2015-03-14,2015-08-06,,0,,,,,Risk of Recidivism,8,High,2013-09-09,Risk of Violence,7,Medium,2013-09-09,2015-03-14,2015-08-06,11,0,551,1,1 +3444,houssain benjilali,houssain,benjilali,2013-11-23,Male,1971-11-20,44,25 - 45,Caucasian,0,2,0,0,0,-1,2013-11-22 10:45:07,2013-11-24 03:02:56,13016270CF10A,2013-11-22,,1,F,Possession of Cocaine,1,15061018TC20A,(M2),,2015-11-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-23,Risk of Violence,1,Low,2013-11-23,2013-11-22,2013-11-24,0,1,711,1,1 +3445,mark asbell,mark,asbell,2013-10-04,Male,1987-11-13,28,25 - 45,Caucasian,0,3,0,0,1,-25,2013-09-09 02:13:27,2013-10-03 07:53:47,13017198MM10A,2013-09-08,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-04,Risk of Violence,4,Low,2013-10-04,2013-09-09,2013-10-03,1,0,910,0,0 +3446,taccular matthews,taccular,matthews,2013-01-07,Male,1988-08-17,27,25 - 45,African-American,0,6,0,0,2,530,2014-06-21 08:28:12,2014-06-21 08:45:25,12015004TC20A,2012-03-03,,310,M,Driving License Suspended,1,14008578CF10A,(M1),0,2014-06-21,Possess Cannabis/20 Grams Or Less,2014-06-21,2014-06-21,,0,,,,,Risk of Recidivism,6,Medium,2013-01-07,Risk of Violence,5,Medium,2013-01-07,2014-06-21,2014-06-21,2,0,530,0,1 +3448,chandra posey,chandra,posey,2013-12-09,Female,1980-11-17,35,25 - 45,African-American,0,7,0,0,12,-2,2013-12-07 05:52:47,2013-12-08 02:32:04,13016936CF10A,2013-12-07,,2,F,Possession Of Alprazolam,1,14007130MM10A,(M1),0,2014-04-29,Trespass Other Struct/Conve,2014-04-29,2014-05-02,,0,,,,,Risk of Recidivism,7,Medium,2013-12-09,Risk of Violence,3,Low,2013-12-09,2014-01-29,2014-02-13,12,0,51,0,1 +3449,michael jones,michael,jones,2013-01-17,Male,1979-07-31,36,25 - 45,African-American,0,8,0,0,19,544,2014-07-15 05:11:23,2014-07-15 08:36:46,12015318MM10A,2012-06-14,,217,M,Driving License Suspended,1,14009656CF10A,(F3),0,2014-07-15,Possession of Hydromorphone,2014-07-15,2014-07-15,,0,,,,,Risk of Recidivism,8,High,2013-01-17,Risk of Violence,4,Low,2013-01-17,2014-07-15,2014-07-15,19,0,544,0,1 +3451,jon clouse,jon,clouse,2013-01-31,Male,1970-01-22,46,Greater than 45,Caucasian,0,2,0,0,2,266,2013-10-24 12:44:58,2013-12-09 10:08:01,10016285TC10A,2010-04-20,,1017,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-31,Risk of Violence,1,Low,2013-01-31,2013-10-24,2013-12-09,2,0,266,0,0 +3452,demetrice boone,demetrice,boone,2013-08-02,Male,1982-03-01,34,25 - 45,African-American,0,1,0,0,3,-1,2013-08-01 08:24:27,2013-08-02 01:23:50,13010777CF10A,2013-08-01,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,2,Low,2013-08-02,2013-08-01,2013-08-02,3,0,973,0,0 +3453,cedric carson,cedric,carson,2013-08-13,Male,1970-09-22,45,Greater than 45,African-American,0,3,0,0,15,-1,2013-08-12 11:38:14,2013-08-13 08:12:42,13011334CF10A,2013-08-12,,1,F,Driving While License Revoked,1,14001857TC20A,(M2),,2014-01-03,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2015-06-10,2015-06-17,15,0,143,1,1 +3454,oshane smith,oshane,smith,2013-02-08,Male,1988-02-18,28,25 - 45,African-American,0,3,0,0,9,-1,2013-02-07 01:24:11,2013-02-23 05:32:34,13001910CF10A,2013-02-07,,1,F,Driving While License Revoked,1,13006747CF10A,(F3),0,2013-05-10,Driving While License Revoked,2013-05-10,2013-05-11,,0,,,,,Risk of Recidivism,3,Low,2013-02-08,Risk of Violence,4,Low,2013-02-08,2013-05-10,2013-05-11,9,15,91,1,1 +3455,passha davis,passha,davis,2013-02-25,Female,1991-02-22,25,25 - 45,African-American,0,3,0,0,1,-1,2013-02-24 06:37:00,2013-02-28 08:18:55,13002836CF10A,2013-02-24,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-25,Risk of Violence,3,Low,2013-02-25,2013-02-24,2013-02-28,1,3,1131,0,0 +3456,daniel dayes,daniel,dayes,2013-01-01,Male,1994-08-25,21,Less than 25,African-American,0,8,1,0,1,0,2013-01-01 10:37:34,2013-01-02 01:16:38,13000061MM10A,2013-01-01,,0,M,Assault,1,15000836CF10A,(F3),1,2015-01-19,Robbery Sudd Snatch No Weapon,2015-01-20,2015-01-23,,1,15000836CF10A,(F3),2015-01-19,Robbery Sudd Snatch No Weapon,Risk of Recidivism,8,High,2013-01-01,Risk of Violence,8,High,2013-01-01,2013-01-01,2013-01-02,1,1,748,1,0 +3457,michael cunningham,michael,cunningham,2014-03-17,Male,1968-02-17,48,Greater than 45,African-American,0,1,0,0,1,-1,2014-03-16 08:38:24,2014-03-17 01:44:33,14003689CF10A,2014-03-16,,1,F,Hiring with Intent to Defraud,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-16,2014-03-17,1,0,746,0,0 +3458,jose chavez,jose,chavez,2013-01-26,Male,1978-11-27,37,25 - 45,Caucasian,0,2,0,0,1,-1,2013-01-25 10:39:04,2013-01-26 08:15:41,13001825MM10A,2013-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-26,Risk of Violence,3,Low,2013-01-26,2013-01-25,2013-01-26,1,0,1161,0,0 +3460,brice hawes,brice,hawes,2013-09-16,Male,1991-09-03,24,Less than 25,African-American,0,6,0,0,3,-3,2013-09-13 08:41:43,2013-09-14 07:50:28,13012968CF10A,2013-09-13,,3,F,Possession of Cocaine,1,14005216MM10A,(M1),0,2014-03-26,Possess Cannabis/20 Grams Or Less,2014-03-26,2014-05-03,,0,,,,,Risk of Recidivism,6,Medium,2013-09-16,Risk of Violence,6,Medium,2013-09-16,2014-03-26,2014-05-03,3,0,191,1,1 +3462,vidal cervantes,vidal,cervantes,2014-02-02,Male,1978-12-23,37,25 - 45,Caucasian,0,1,0,0,1,-1,2014-02-01 04:29:57,2014-02-02 08:38:06,14001782MM10A,2014-02-01,,1,M,Battery,1,15006794MM10A,(M1),1,2015-06-24,Battery,2015-06-25,2015-06-25,,1,15006794MM10A,(M1),2015-06-24,Battery,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,1,Low,2014-02-02,2015-06-25,2015-06-25,1,0,507,1,1 +3463,john grant,john,grant,2014-02-10,Male,1976-09-03,39,25 - 45,Caucasian,0,3,0,0,1,-3,2014-02-07 01:11:10,2014-02-07 09:15:23,14001744CF10A,2014-02-06,,4,F,Solicit Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-10,Risk of Violence,4,Low,2014-02-10,2014-06-27,2014-06-28,1,0,137,0,0 +3464,christopher mcghie,christopher,mcghie,2013-04-13,Male,1992-02-24,24,Less than 25,Caucasian,0,5,0,1,1,-1,2013-04-12 10:37:03,2013-05-04 02:25:39,13005308CF10A,2013-04-12,,1,F,Burglary Conveyance Unoccup,1,13005713CF10A,(F3),721,2013-04-18,Grand Theft Firearm,2015-04-09,2015-06-08,,0,,,,,Risk of Recidivism,5,Medium,2013-04-13,Risk of Violence,4,Low,2013-04-13,2013-04-12,2013-05-04,1,0,5,1,1 +3465,herold delinois,herold,delinois,2013-09-27,Male,1967-04-05,49,Greater than 45,Other,0,1,0,0,2,-1,2013-09-26 10:20:24,2013-09-27 01:35:34,13013684CF10A,,2013-09-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-27,Risk of Violence,1,Low,2013-09-27,2013-09-26,2013-09-27,2,0,917,0,0 +3468,oneil kerone,oneil,kerone,2013-10-15,Male,1981-02-22,35,25 - 45,African-American,0,10,0,0,3,,,,10017061CF10A,2010-09-21,,1120,F,Aggravated Battery / Pregnant,1,15011321CF10A,(F3),,2015-06-14,False Imprisonment,,,,1,15011321CF10A,(F3),2015-06-14,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2013-10-15,Risk of Violence,10,High,2013-10-15,,,3,0,607,1,1 +3470,jamal khan,jamal,khan,2014-11-10,Male,1992-10-15,23,Less than 25,African-American,0,2,0,0,1,-1,2014-11-09 07:43:48,2014-11-10 07:57:42,14014206CF10A,,2014-11-09,1,F,arrest case no charge,1,15004103MM40A,(M2),,2015-10-22,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-11-10,Risk of Violence,3,Low,2014-11-10,2014-11-09,2014-11-10,1,0,346,1,1 +3474,sean hanrahan,sean,hanrahan,2013-06-24,Male,1979-08-07,36,25 - 45,Caucasian,0,3,0,0,4,-123,2013-02-21 05:41:08,2013-03-01 11:04:33,13002674CF10A,2013-02-21,,123,F,Possession of Cocaine,1,13077607TC30A,(M2),362,2013-07-19,Unlaw LicTag/Sticker Attach,2014-07-16,2014-09-09,,0,,,,,Risk of Recidivism,3,Low,2013-06-24,Risk of Violence,2,Low,2013-06-24,2014-07-16,2014-09-09,4,0,25,1,1 +3475,donald duke,donald,duke,2013-03-30,Male,1973-04-01,43,25 - 45,Caucasian,0,5,0,0,5,-1,2013-03-29 11:13:36,2013-03-30 04:31:13,13004530CF10A,2013-03-29,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-30,Risk of Violence,6,Medium,2013-03-30,2013-03-29,2013-03-30,5,0,1098,0,0 +3476,eliasin reyes,eliasin,reyes,2013-02-23,Male,1988-02-09,28,25 - 45,African-American,0,8,0,0,6,-1,2013-02-22 02:12:21,2013-02-23 08:50:46,12005555MM10A,,2013-02-22,1,M,arrest case no charge,1,13083639TC40A,(M2),,2013-11-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2013-02-23,Risk of Violence,3,Low,2013-02-23,2015-09-29,2020-01-01,6,0,262,1,1 +3479,shalika scott,shalika,scott,2014-07-15,Female,1994-06-19,21,Less than 25,African-American,1,10,0,0,4,122,2014-11-14 08:39:53,2015-01-08 06:08:02,12013535CF10A,,2014-02-11,154,F,arrest case no charge,1,14015363CF10A,(F3),0,2014-11-14,Grand Theft in the 3rd Degree,2014-11-14,2015-01-08,,0,,,,,Risk of Recidivism,10,High,2014-07-15,Risk of Violence,9,High,2014-07-15,2014-11-14,2015-01-08,4,0,122,1,1 +3480,willie wiggins,willie,wiggins,2013-01-03,Male,1962-05-02,53,Greater than 45,African-American,0,2,0,0,1,-1,2013-01-02 10:49:04,2013-01-03 01:20:01,13000112MM10A,2013-01-02,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-02,2013-01-03,1,0,1184,0,0 +3481,shantel smith,shantel,smith,2014-07-08,Female,1988-06-22,27,25 - 45,African-American,0,4,0,0,2,-14,2014-06-24 01:56:07,2014-06-25 02:14:18,14009847MM10A,2014-06-24,,14,M,Petit Theft $100- $300,1,15011579TC10A,(M2),78,2015-03-29,Fail Register Vehicle,2015-06-15,2015-12-12,,0,,,,,Risk of Recidivism,4,Low,2014-07-08,Risk of Violence,3,Low,2014-07-08,2014-12-02,2014-12-25,2,0,147,0,1 +3483,jason herring,jason,herring,2013-10-10,Male,1976-11-24,39,25 - 45,Caucasian,0,1,0,0,0,-1,2013-10-09 02:26:58,2013-10-11 10:06:16,13019192MM10A,2013-10-09,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-10-17,2013-10-22,0,1,7,0,0 +3484,samuel bellamy,samuel,bellamy,2013-10-29,Male,1968-08-12,47,Greater than 45,African-American,0,7,0,0,22,-1,2013-10-28 07:25:04,2013-10-29 10:34:45,13015055CF10A,2013-10-28,,1,F,Felony Driving While Lic Suspd,1,14010119CF10A,(F3),0,2014-07-24,Driving While License Revoked,2014-07-24,2014-07-25,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,2,Low,2013-10-29,2014-02-05,2014-02-05,22,0,99,0,1 +3485,lemariani camel,lemariani,camel,2013-09-26,Male,1987-09-05,28,25 - 45,African-American,0,2,0,0,4,-1,2013-09-25 06:38:26,2013-09-27 09:54:54,13013476CF10A,2013-09-25,,1,F,Uttering a Forged Instrument,1,15058990TC30A,(M2),,2015-08-31,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,2,Low,2013-09-26,2013-09-25,2013-09-27,4,1,704,1,1 +3487,raul calvet,raul,calvet,2013-05-29,Male,1967-04-02,49,Greater than 45,Caucasian,0,6,0,0,7,,,,13007602CF10A,2013-05-28,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-29,Risk of Violence,4,Low,2013-05-29,,,7,0,1038,0,0 +3488,james conroy,james,conroy,2013-07-15,Male,1980-02-03,36,25 - 45,Caucasian,0,1,0,0,2,-4,2013-07-11 11:11:06,2013-07-12 08:34:26,13009750CF10A,2013-07-11,,4,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-15,Risk of Violence,1,Low,2013-07-15,2013-07-11,2013-07-12,2,0,991,0,0 +3489,wilnika wilson,wilnika,wilson,2013-02-07,Female,1991-11-21,24,Less than 25,African-American,0,9,0,0,1,-1,2013-02-06 10:07:57,2013-02-10 04:53:33,12016323CF10A,,2013-02-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-07,Risk of Violence,5,Medium,2013-02-07,2013-12-13,2013-12-26,1,3,309,0,0 +3491,rogrigo penaranda,rogrigo,penaranda,2014-02-01,Male,1980-10-04,35,25 - 45,Hispanic,0,2,0,0,0,-1,2014-01-31 03:23:35,2014-02-01 10:09:54,14001745MM10A,2014-01-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-01,Risk of Violence,1,Low,2014-02-01,2014-01-31,2014-02-01,0,0,790,0,0 +3492,roderick thomas,roderick,thomas,2014-03-10,Male,1993-01-07,23,Less than 25,African-American,0,7,0,0,3,0,2014-03-10 02:25:18,2014-03-11 02:54:42,14003369CF10A,2014-03-09,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-10,Risk of Violence,5,Medium,2014-03-10,2014-03-10,2014-03-11,3,1,753,0,0 +3493,gymmy justin,gymmy,justin,2013-04-02,Male,1990-01-06,26,25 - 45,African-American,0,2,0,0,2,-1,2013-04-01 11:49:53,2013-04-02 12:59:44,13004676CF10A,2013-04-01,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-02,Risk of Violence,3,Low,2013-04-02,2013-06-27,2013-06-28,2,0,86,0,0 +3498,nakiea maywa,nakiea,maywa,2013-04-22,Male,1985-01-03,31,25 - 45,African-American,0,4,0,0,7,-1,2013-04-21 02:00:34,2013-06-14 08:47:39,13005705CF10A,2013-04-21,,1,F,Grand Theft in the 3rd Degree,1,14011102CF10A,(F3),,2013-11-06,"Poss3,4 Methylenedioxymethcath",,,,0,,,,,Risk of Recidivism,4,Low,2013-04-22,Risk of Violence,4,Low,2013-04-22,2013-04-21,2013-06-14,7,53,198,1,1 +3499,johnny masses,johnny,masses,2013-01-07,Female,1985-09-20,30,25 - 45,African-American,0,10,3,2,14,0,2013-01-07 04:56:40,2013-01-12 08:50:28,13000270CF10A,2013-01-07,,0,F,Carrying Concealed Firearm,1,14003094CF10A,(M1),1,2014-03-04,Resist/Obstruct W/O Violence,2014-03-05,2014-04-11,,1,14004826MM10A,(M1),2014-03-04,Assault Law Enforcement Officer,Risk of Recidivism,10,High,2013-01-07,Risk of Violence,7,Medium,2013-01-07,2013-04-06,2013-04-13,14,5,89,0,1 +3500,justin darrall,justin,darrall,2013-03-19,Male,1990-08-03,25,25 - 45,Caucasian,0,6,0,0,2,0,2013-03-19 03:36:03,2013-03-20 04:10:08,13005428MM10A,2013-03-19,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-19,Risk of Violence,6,Medium,2013-03-19,2013-03-19,2013-03-20,2,1,1109,0,0 +3501,jamal jackson,jamal,jackson,2014-11-14,Male,1992-03-13,24,Less than 25,African-American,0,10,0,0,6,0,2014-11-14 01:39:45,2014-11-15 03:56:09,14015310CF10A,2014-11-13,,1,F,Deliver Cocaine,1,14017154CF10A,(F3),0,2014-12-29,Possession of Cocaine,2014-12-29,2014-12-30,,0,,,,,Risk of Recidivism,10,High,2014-11-14,Risk of Violence,9,High,2014-11-14,2014-12-29,2014-12-30,6,1,45,1,1 +3502,sammy garcia,sammy,garcia,2013-08-27,Male,1981-11-29,34,25 - 45,Hispanic,0,1,0,0,1,-1,2013-08-26 09:18:27,2013-08-27 06:21:27,13012037CF10A,2013-08-26,,1,F,Grand Theft in the 3rd Degree,1,15011282MM10A,(M1),,2015-07-13,Eng/Bus/Contract W/O License,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-26,2013-08-27,1,0,685,1,1 +3504,jacolby floyd,jacolby,floyd,2013-06-28,Male,1990-03-12,26,25 - 45,African-American,0,4,0,0,2,-29,2013-05-30 07:22:09,2013-06-28 05:34:53,13010391MM10A,2013-05-30,,29,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-28,Risk of Violence,4,Low,2013-06-28,2013-05-30,2013-06-28,2,0,1008,0,0 +3506,timothy newson,timothy,newson,2013-08-23,Male,1989-06-13,26,25 - 45,African-American,0,8,0,0,7,-49,2013-07-05 09:14:47,2013-07-06 07:12:01,13012786MM10A,2013-07-05,,49,M,Carrying A Concealed Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-23,Risk of Violence,6,Medium,2013-08-23,2014-06-19,2014-06-24,7,0,300,0,0 +3507,paulo lapa,paulo,lapa,2013-05-20,Male,1955-08-16,60,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-05-19 06:07:29,2013-05-20 06:56:01,13007127CF10A,2013-05-19,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-20,Risk of Violence,1,Low,2013-05-20,2015-07-15,2015-07-20,0,0,786,0,0 +3508,elexus shell,elexus,shell,2014-03-14,Female,1995-12-05,20,Less than 25,African-American,0,5,0,0,0,-1,2014-03-13 10:29:12,2014-03-14 08:36:11,14003646CF10A,2014-03-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-14,Risk of Violence,7,Medium,2014-03-14,2014-03-13,2014-03-14,0,0,749,0,0 +3510,michael ridgley,michael,ridgley,2014-12-17,Male,1979-09-13,36,25 - 45,Caucasian,1,9,0,0,10,92,2015-03-19 05:48:12,2015-06-11 09:46:09,14013648MM10A,2014-09-13,,95,M,Battery,1,15003768CF10A,(F3),0,2015-03-19,Grand Theft in the 3rd Degree,2015-03-19,2015-06-11,,0,,,,,Risk of Recidivism,9,High,2014-12-17,Risk of Violence,4,Low,2014-12-17,2015-03-19,2015-06-11,10,0,92,1,1 +3511,angel navarro,angel,navarro,2014-03-20,Male,1992-10-14,23,Less than 25,Caucasian,0,3,0,0,0,0,2014-03-20 03:17:09,2014-03-20 09:58:54,14003947CF10A,2014-03-20,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-20,Risk of Violence,4,Low,2014-03-20,2014-03-20,2014-03-20,0,0,743,0,0 +3512,christopher stewart,christopher,stewart,2013-04-10,Male,1989-09-21,26,25 - 45,African-American,0,7,0,0,5,-1,2013-04-09 11:57:35,2013-04-16 10:03:13,13005083CF10A,,2013-04-09,1,F,arrest case no charge,1,13009521CF10A,(F7),,2013-06-13,Burglary Conveyance Assault/Bat,,,,1,13009521CF10A,(F7),2013-06-13,Burglary Conveyance Assault/Bat,Risk of Recidivism,7,Medium,2013-04-10,Risk of Violence,6,Medium,2013-04-10,2013-04-09,2013-04-16,5,6,64,1,1 +3515,james true,james,true,2014-01-07,Male,1975-09-03,40,25 - 45,Caucasian,0,1,0,0,4,0,2014-01-07 02:22:12,2014-01-08 03:19:00,14001010MU10A,2014-01-06,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-04-11,2014-04-15,4,1,94,0,0 +3516,onique williams,onique,williams,2014-03-03,Male,1987-06-20,28,25 - 45,Other,0,3,0,0,1,-1,2014-03-02 04:53:07,2014-03-03 08:04:38,14002949CF10A,2014-03-02,,1,F,Felony Driving While Lic Suspd,1,15011203MM10A,(M1),1,2015-10-25,Battery,2015-10-26,2015-10-31,,1,15011203MM10A,(M1),2015-10-25,Battery,Risk of Recidivism,3,Low,2014-03-03,Risk of Violence,3,Low,2014-03-03,2015-10-26,2015-10-31,1,0,601,1,1 +3517,edson ferrari,edson,ferrari,2013-01-20,Male,1967-02-08,49,Greater than 45,Hispanic,0,1,0,0,1,-1,2013-01-19 01:22:35,2013-01-24 09:31:50,13000906CF10A,2013-01-19,,1,F,Grand Theft in the 3rd Degree,1,14001399MM40A,(M2),,2014-03-01,Disorderly Intoxication,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-20,Risk of Violence,1,Low,2013-01-20,2013-01-19,2013-01-24,1,4,405,1,1 +3519,anthony irby,anthony,irby,2013-09-09,Male,1970-01-05,46,Greater than 45,African-American,0,3,0,0,8,400,2014-10-14 12:07:09,2015-07-20 12:14:20,11012497CF10A,,2012-09-21,353,F,arrest case no charge,1,13095157TC30A,(M2),396,2013-09-13,Driving License Suspended,2014-10-14,2015-07-20,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,3,Low,2013-09-09,2016-01-13,2016-01-22,8,0,4,1,1 +3521,nickson marcellus,nickson,marcellus,2014-01-23,Male,1996-07-11,19,Less than 25,African-American,0,10,1,0,1,0,2014-01-23 03:19:30,2014-01-23 01:04:34,13017969CF10A,,2014-01-23,0,F,arrest case no charge,1,16000241MM20A,(M1),,2016-01-04,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,10,High,2014-01-23,Risk of Violence,10,High,2014-01-23,2016-01-05,2016-02-26,1,0,711,1,1 +3523,jesus melero,jesus,melero,2014-02-13,Male,1962-05-20,53,Greater than 45,Caucasian,0,1,0,0,1,-12,2014-02-01 11:21:58,2014-02-13 10:41:33,14001208CF10A,,2014-02-01,12,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2014-02-01,2014-02-13,1,0,778,0,0 +3525,anthony allegretti,anthony,allegretti,2013-04-19,Male,1959-09-09,56,Greater than 45,Caucasian,0,2,0,0,5,-45,2013-03-05 03:44:35,2013-03-13 07:58:40,13003297CF10A,2013-03-05,,45,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-03-05,2013-03-13,5,0,1078,0,0 +3528,shameka peterson,shameka,peterson,2013-08-20,Female,1991-11-04,24,Less than 25,African-American,0,3,0,0,0,-1,2013-08-19 09:16:36,2013-08-20 07:47:23,13011621CF10A,2013-08-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-20,Risk of Violence,3,Low,2013-08-20,2013-08-19,2013-08-20,0,0,955,0,0 +3529,isaac pardo,isaac,pardo,2013-03-18,Male,1985-01-17,31,25 - 45,Hispanic,0,1,0,0,0,-5,2013-03-13 03:41:11,2013-03-14 07:33:57,13003684CF10A,2013-03-13,,5,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-13,2013-03-14,0,0,1110,0,0 +3531,sonia burca,sonia,burca,2013-02-08,Female,1982-06-20,33,25 - 45,Caucasian,0,3,0,0,2,-1,2013-02-07 12:53:38,2013-02-07 07:17:58,13001870CF10A,2013-02-06,,2,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-08,Risk of Violence,2,Low,2013-02-08,2013-05-17,2013-06-27,2,0,98,0,0 +3533,michael gonzalez,michael,gonzalez,2013-03-23,Male,1989-06-03,26,25 - 45,Caucasian,0,10,3,0,8,-1,2013-03-22 06:22:56,2013-05-03 03:49:00,13004177CF10A,2013-03-22,,1,F,Robbery / Weapon,1,14000546CF10A,(F3),,2013-11-07,Grand Theft in the 3rd Degree,,,,1,14000309CF10A,(F3),2013-12-30,Aggravated Assault w/Firearm,Risk of Recidivism,10,High,2013-03-23,Risk of Violence,7,Medium,2013-03-23,2013-03-22,2013-05-03,8,41,229,1,1 +3534,derik pollard,derik,pollard,2013-06-27,Male,1959-06-13,56,Greater than 45,Caucasian,0,1,0,0,1,-65,2013-04-23 07:19:10,2013-04-26 01:43:59,13005816CF10A,2013-04-23,,65,M,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-27,Risk of Violence,1,Low,2013-06-27,2013-04-23,2013-04-26,1,0,1009,0,0 +3535,douglas states,douglas,states,2013-04-19,Male,1984-01-29,32,25 - 45,Caucasian,0,2,0,0,2,-1,2013-04-18 10:07:01,2013-04-19 07:21:29,13005584CF10A,2013-04-18,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-12-09,2013-12-10,2,0,234,0,0 +3536,oscar tapia,oscar,tapia,2014-09-08,Male,1990-06-14,25,25 - 45,Caucasian,0,2,0,0,0,0,2014-09-08 03:42:10,2014-09-11 03:44:41,14012251CF10A,,2014-09-08,0,F,arrest case no charge,1,15003130CF10A,(F3),0,2015-03-07,Tamper With Witness/Victim/CI,2015-03-07,2015-03-08,,1,15003130CF10A,(M1),2015-03-07,Battery,Risk of Recidivism,2,Low,2014-09-08,Risk of Violence,3,Low,2014-09-08,2015-03-07,2015-03-08,0,3,180,1,1 +3538,marvon jemmott,marvon,jemmott,2013-12-14,Male,1995-01-17,21,Less than 25,African-American,0,2,0,0,1,-1,2013-12-13 07:02:10,2013-12-14 01:30:41,13017261CF10A,2013-12-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-14,Risk of Violence,5,Medium,2013-12-14,2014-11-12,2014-12-24,1,0,333,0,0 +3539,zaviaus smith,zaviaus,smith,2013-04-13,Male,1977-07-29,38,25 - 45,African-American,0,5,0,0,3,0,2013-04-13 01:46:54,2013-04-14 07:38:52,13006908CF10A,2013-04-12,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-13,Risk of Violence,6,Medium,2013-04-13,2013-04-13,2013-04-14,3,1,1084,0,0 +3540,patrick santoni,patrick,santoni,2013-10-09,Male,1992-05-26,23,Less than 25,Caucasian,0,2,0,0,0,-4,2013-10-05 05:06:33,2013-10-06 07:58:45,13013989CF10A,2013-10-05,,4,F,Fleeing Or Attmp Eluding A Leo,1,16001749MM10A,(M1),0,2016-02-23,Resist/Obstruct W/O Violence,2016-02-23,2016-02-24,,0,,,,,Risk of Recidivism,2,Low,2013-10-09,Risk of Violence,3,Low,2013-10-09,2016-02-23,2016-02-24,0,0,867,1,0 +3541,royston walker,royston,walker,2014-01-23,Male,1948-05-14,67,Greater than 45,African-American,0,1,0,0,4,,,,13039262TC10A,2013-08-03,,173,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-23,Risk of Violence,1,Low,2014-01-23,,,4,0,799,0,0 +3542,david hise,david,hise,2014-03-28,Male,1996-01-23,20,Less than 25,Caucasian,0,6,0,1,0,-1,2014-03-27 01:13:30,2014-04-04 08:54:48,14004339CF10A,,2014-03-27,1,F,arrest case no charge,1,15000397CF10A,(F3),0,2015-01-09,Grand Theft in the 3rd Degree,2015-01-09,2015-02-05,,1,15000397CF10A,(F1),2015-01-09,Aid/Abet Burglary Assault/Batt,Risk of Recidivism,6,Medium,2014-03-28,Risk of Violence,7,Medium,2014-03-28,2015-01-09,2015-02-05,0,7,287,1,1 +3543,alexis kelmann,alexis,kelmann,2014-08-13,Female,1976-10-15,39,25 - 45,Caucasian,0,1,0,0,4,-2,2014-08-11 06:20:44,2014-08-12 09:21:35,14010954CF10A,2014-08-11,,2,F,Aggravated Assault W/Dead Weap,1,15009711MM10A,(M2),1,2015-09-13,Disorderly Conduct,2015-09-14,2015-09-14,,0,,,,,Risk of Recidivism,1,Low,2014-08-13,Risk of Violence,1,Low,2014-08-13,2015-09-14,2015-09-14,4,0,396,1,1 +3544,janel williams,janel,williams,2014-01-14,Male,1991-07-07,24,Less than 25,African-American,0,2,0,0,1,-1,2014-01-13 09:14:52,2014-01-19 09:29:15,14000577CF10A,2014-01-13,,1,F,Burglary Unoccupied Dwelling,1,14013919MM10A,(M1),0,2014-09-18,Battery,2014-09-18,2015-01-05,,1,14013919MM10A,(M1),2014-09-18,Battery,Risk of Recidivism,2,Low,2014-01-14,Risk of Violence,3,Low,2014-01-14,2014-09-18,2015-01-05,1,5,247,1,1 +3546,richard santos,richard,santos,2014-02-20,Male,1992-12-11,23,Less than 25,Hispanic,0,2,0,0,0,0,2014-02-20 01:30:24,2014-02-20 08:53:21,14002359CF10A,2014-02-19,,1,F,Agg Fleeing/Eluding High Speed,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-20,Risk of Violence,3,Low,2014-02-20,2014-02-20,2014-02-20,0,0,771,0,0 +3547,timothy young,timothy,young,2013-03-09,Male,1967-03-22,49,Greater than 45,African-American,0,4,0,0,3,-1,2013-03-08 08:30:08,2013-03-09 08:10:58,12017244CF10A,,2013-03-08,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,3,0,1119,0,0 +3550,timothy mccullough,timothy,mccullough,2013-04-08,Male,1984-08-03,31,25 - 45,African-American,0,7,0,0,7,-1,2013-04-07 08:22:22,2013-06-24 06:50:46,13004983CF10A,2013-04-07,,1,F,Poss of Firearm by Convic Felo,1,14010265CF10A,(F3),0,2014-04-26,Possession of Cannabis,2014-04-26,2014-04-27,,0,,,,,Risk of Recidivism,7,Medium,2013-04-08,Risk of Violence,7,Medium,2013-04-08,2014-04-26,2014-04-27,7,77,383,1,1 +3551,deon ford,deon,ford,2014-09-23,Male,1995-10-25,20,Less than 25,African-American,0,6,0,0,1,-26,2014-08-28 07:11:04,2014-09-13 12:27:54,14011764CF10A,2014-08-28,,26,F,Grand Theft in the 3rd Degree,1,14017016CF10A,(F3),0,2014-12-24,Grand Theft Dwell Property,2014-12-24,2015-03-31,,0,,,,,Risk of Recidivism,6,Medium,2014-09-23,Risk of Violence,8,High,2014-09-23,2014-10-29,2014-11-25,1,0,36,0,1 +3552,john macpherson,john,macpherson,2014-03-14,Male,1987-07-17,28,25 - 45,Caucasian,0,3,0,0,0,0,2014-03-14 03:35:23,2014-03-27 08:45:42,14004467MM10A,2014-03-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-14,Risk of Violence,2,Low,2014-03-14,2014-03-14,2014-03-27,0,13,749,0,0 +3554,claude grenon,claude,grenon,2013-01-26,Male,1949-02-18,67,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-01-25 03:23:20,2013-01-26 09:12:07,13001269CF10A,,2013-01-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-26,Risk of Violence,1,Low,2013-01-26,2013-01-25,2013-01-26,3,0,1161,0,0 +3556,angel dejesus,angel,dejesus,2013-11-28,Male,1983-04-06,33,25 - 45,Hispanic,0,1,0,0,0,0,2013-11-28 02:33:43,2013-11-29 08:55:05,13016553CF10A,2013-11-28,,0,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-28,Risk of Violence,1,Low,2013-11-28,2013-11-28,2013-11-29,0,1,855,0,0 +3557,geison trejos,geison,trejos,2014-01-17,Male,1996-02-29,20,Less than 25,Hispanic,1,8,0,0,1,-189,2013-07-12 04:18:27,2013-07-13 03:03:05,13009777CF10A,,2013-07-12,189,F,arrest case no charge,1,14073058TC20A,(M2),5,2014-10-12,Operating W/O Valid License,2014-10-17,2014-11-13,,0,,,,,Risk of Recidivism,8,High,2014-01-17,Risk of Violence,10,High,2014-01-17,2015-05-28,2016-01-27,1,0,268,1,1 +3560,michael murdough,michael,murdough,2013-11-06,Male,1975-09-23,40,25 - 45,Caucasian,0,3,0,0,4,-80,2013-08-18 01:02:37,2013-11-04 12:02:25,01004839CF10A,,2013-08-26,72,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-06,Risk of Violence,4,Low,2013-11-06,2013-08-18,2013-11-04,4,0,877,0,0 +3562,craig lattimore,craig,lattimore,2013-02-16,Male,1963-09-03,52,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-15 07:20:36,2013-02-16 07:12:26,13002365CF10A,2013-02-15,,1,F,Solicitation On Felony 3 Deg,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-16,Risk of Violence,1,Low,2013-02-16,2013-02-15,2013-02-16,0,0,1140,0,0 +3563,jessie mcnair,jessie,mcnair,2013-12-23,Male,1970-07-31,45,Greater than 45,African-American,0,7,0,0,17,-1,2013-12-22 06:16:26,2014-02-07 03:27:47,13017621CF10A,2013-12-22,,1,F,Felony Petit Theft,1,14000907MM40A,(M2),,2014-02-10,Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-23,Risk of Violence,5,Medium,2013-12-23,2013-12-22,2014-02-07,17,46,49,1,1 +3564,scott sylvain,scott,sylvain,2013-02-22,Male,1989-03-06,27,25 - 45,African-American,0,7,0,1,8,-1,2013-02-21 07:24:46,2013-02-22 09:27:19,13002686CF10A,2013-02-21,,1,F,Poss Cocaine/Intent To Del/Sel,1,13039594TC20A,(M2),,2013-06-17,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-22,Risk of Violence,4,Low,2013-02-22,2013-03-14,2013-03-19,8,0,20,0,1 +3566,steven corey,steven,corey,2013-08-01,Male,1993-11-30,22,Less than 25,Caucasian,0,9,0,0,1,-1,2013-07-31 02:58:40,2013-08-01 09:55:06,13010696CF10A,2013-07-31,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-01,Risk of Violence,9,High,2013-08-01,2013-12-05,2013-12-07,1,0,126,0,0 +3568,emad abdelquader,emad,abdelquader,2013-02-19,Male,1979-12-09,36,25 - 45,Caucasian,0,7,0,0,9,-42,2013-01-08 03:25:44,2013-01-09 02:55:36,13000318CF10A,2013-01-08,,42,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-19,Risk of Violence,3,Low,2013-02-19,2014-12-16,2015-06-12,9,0,665,0,0 +3570,julio salem,julio,salem,2014-11-28,Male,1975-09-12,40,25 - 45,Caucasian,0,1,0,0,0,-1,2014-11-27 04:39:17,2014-11-28 01:49:05,14016882MM10A,2014-11-27,,1,M,Battery,1,15012294MM10A,(M1),0,2015-11-20,Giving False Crime Report,2015-11-20,2015-11-22,,1,15012158MM10A,(M1),2015-11-20,Battery,Risk of Recidivism,1,Low,2014-11-28,Risk of Violence,1,Low,2014-11-28,2015-11-20,2015-11-22,0,0,357,1,1 +3571,donny evans,donny,evans,2013-04-12,Male,1985-09-10,30,25 - 45,Caucasian,0,8,0,0,1,0,2013-04-12 05:23:21,2013-04-12 08:19:16,13007109MM10A,2013-04-12,,0,M,Expired DL More Than 6 Months,1,14006749MM10A,(M1),0,2014-04-21,Battery,2014-04-21,2014-04-22,,1,14006749MM10A,(M1),2014-04-21,Battery,Risk of Recidivism,8,High,2013-04-12,Risk of Violence,6,Medium,2013-04-12,2014-04-21,2014-04-22,1,0,374,1,1 +3573,jonas garcon,jonas,garcon,2013-10-24,Male,1973-10-07,42,25 - 45,African-American,0,1,0,0,1,-1,2013-10-23 09:26:43,2013-10-24 01:16:59,13003080CF10A,,2013-10-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,2013-11-14,2013-11-15,1,0,21,0,0 +3574,maurice williams,maurice,williams,2013-05-01,Male,1991-08-28,24,Less than 25,African-American,0,3,0,1,2,0,2013-05-01 05:10:52,2013-05-03 03:49:31,13006253CF10A,2013-05-01,,0,F,False Ownership Info/Pawn Item,1,13017807CF10A,(M2),0,2013-12-26,Operating W/O Valid License,2013-12-26,2014-06-24,,0,,,,,Risk of Recidivism,3,Low,2013-05-01,Risk of Violence,4,Low,2013-05-01,2013-12-26,2014-06-24,2,2,239,1,1 +3576,christopher moreno,christopher,moreno,2013-03-13,Male,1970-03-27,46,Greater than 45,Caucasian,0,2,0,0,4,-5,2013-03-08 11:15:24,2013-03-11 03:23:55,13003470CF10A,2013-03-08,,5,F,Video Voyeur-<24Y on Child >16,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,2013-03-08,2013-03-11,4,0,1115,0,0 +3577,jerome green,jerome,green,2014-02-06,Male,1977-07-13,38,25 - 45,African-American,0,3,0,0,4,0,2014-02-06 12:36:29,2014-02-06 09:10:10,14001657CF10A,2014-02-05,,1,F,Sell or Offer for Sale Counterfeit Goods,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-06,Risk of Violence,2,Low,2014-02-06,2014-02-06,2014-02-06,4,0,785,0,0 +3578,michael visconti,michael,visconti,2013-08-28,Male,1976-04-22,39,25 - 45,Hispanic,0,1,0,0,2,-113,2013-05-07 12:41:47,2013-08-20 10:59:38,13006464CF10A,2013-05-06,,114,F,Crimin Mischief Damage $1000+,1,14000241MM10A,(M1),1,2014-01-06,Assault On Law Enforc Officer,2014-01-07,2014-03-11,,1,14000241MM10A,(M1),2014-01-06,Assault On Law Enforc Officer,Risk of Recidivism,1,Low,2013-08-28,Risk of Violence,2,Low,2013-08-28,2014-03-11,2015-05-04,2,0,131,1,1 +3582,natalie roldan,natalie,roldan,2014-07-07,Female,1984-01-29,32,25 - 45,Hispanic,0,3,0,0,0,-1,2014-07-06 10:24:03,2014-07-14 08:44:40,14024725MU10A,2014-07-06,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,1,14001495MM30A,(M2),,2014-09-03,Petit Theft,,,,0,,,,,Risk of Recidivism,3,Low,2014-07-07,Risk of Violence,2,Low,2014-07-07,2014-07-06,2014-07-14,0,7,58,1,1 +3584,amadeo pabon,amadeo,pabon,2014-02-01,Male,1989-07-13,26,25 - 45,Caucasian,0,5,0,0,0,-1,2014-01-31 07:36:44,2014-02-01 08:44:54,14001389CF10A,2014-01-31,,1,M,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-01,Risk of Violence,4,Low,2014-02-01,2014-01-31,2014-02-01,0,0,790,0,0 +3585,dale hargrove,dale,hargrove,2014-03-16,Male,1962-03-06,54,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-03-15 06:43:38,2014-03-16 09:21:10,14004525MM10A,2014-03-15,,1,M,Battery,1,14009538CF10A,(F3),0,2014-07-12,Grand Theft in the 3rd Degree,2014-07-12,2014-08-15,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-07-12,2014-08-15,1,0,118,1,1 +3591,andres varela,andres,varela,2013-08-13,Male,1989-01-02,27,25 - 45,Hispanic,0,3,0,0,2,-10,2013-08-03 10:33:08,2013-08-13 10:45:31,13010874CF10A,2013-08-03,,10,F,Lewd/Lasc Battery Pers 12+/<16,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,2013-08-03,2013-08-13,2,0,962,0,0 +3593,mark depalma,mark,depalma,2013-09-27,Male,1954-07-24,61,Greater than 45,Caucasian,0,4,0,0,1,0,2013-09-27 04:19:45,2013-09-28 05:16:53,13013737CF10A,,2013-09-27,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-27,Risk of Violence,2,Low,2013-09-27,2013-09-27,2013-09-28,1,1,917,0,0 +3594,mark frances,mark,frances,2014-04-01,Male,1965-03-09,51,Greater than 45,African-American,0,4,0,0,1,-1,2014-03-31 11:58:03,2014-04-01 01:23:30,14005521MM10A,2014-03-31,,1,M,Possess Cannabis/20 Grams Or Less,1,14002243MM40A,(M1),,2014-05-10,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2014-04-01,Risk of Violence,1,Low,2014-04-01,2014-03-31,2014-04-01,1,0,39,1,1 +3596,carlos ramirezdiaz,carlos,ramirezdiaz,2013-05-04,Male,1958-10-11,57,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-04 12:03:36,2013-06-01 05:43:28,13006410CF10A,2013-05-03,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-05-04,2013-06-01,0,28,1063,0,0 +3597,steven filizzola,steven,filizzola,2013-12-23,Male,1992-03-24,24,Less than 25,Caucasian,0,5,0,3,3,-1,2013-12-22 06:05:43,2013-12-23 07:54:43,13023579MM10A,2013-12-22,,1,M,Battery,1,15006657MM10A,(M1),0,2015-06-20,Battery,2015-06-20,2015-06-22,,1,15006657MM10A,(M1),2015-06-20,Battery,Risk of Recidivism,5,Medium,2013-12-23,Risk of Violence,4,Low,2013-12-23,2015-06-20,2015-06-22,3,0,544,1,1 +3598,sterlyn ayres,sterlyn,ayres,2013-04-19,Male,1981-09-10,34,25 - 45,African-American,0,1,0,0,1,-1,2013-04-18 08:16:22,2013-04-19 07:23:23,13004136CF10A,,2013-04-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-04-18,2013-04-19,1,0,1078,0,0 +3600,alberto pagan,alberto,pagan,2013-05-26,Male,1988-07-05,27,25 - 45,Hispanic,0,2,0,0,1,-1,2013-05-25 11:25:22,2013-05-27 04:29:59,13007466CF10A,2013-05-25,,1,F,Throw Missile Into Pub/Priv Dw,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-26,Risk of Violence,3,Low,2013-05-26,2013-05-25,2013-05-27,1,1,1041,0,0 +3601,janay owens,janay,owens,2013-04-16,Female,1987-06-24,28,25 - 45,African-American,0,7,0,0,10,15,2013-05-01 12:48:11,2013-05-05 02:08:02,13013022TC10A,2013-03-11,,36,M,Operating W/O Valid License,1,13010940CF10A,(F3),0,2013-08-05,Fleeing or Eluding a LEO,2013-08-05,2013-11-13,,0,,,,,Risk of Recidivism,7,Medium,2013-04-16,Risk of Violence,4,Low,2013-04-16,2013-05-01,2013-05-05,10,0,15,0,1 +3602,jahara graham,jahara,graham,2013-05-19,Male,1981-01-04,35,25 - 45,African-American,0,8,0,0,10,0,2013-05-19 12:58:48,2013-05-20 02:43:09,13009593MM10A,2013-05-18,,1,M,Viol Prot Injunc Repeat Viol,1,13014978CF10A,(F3),1,2013-10-25,Tampering With Physical Evidence,2013-10-26,2013-10-26,,1,13014978CF10A,(F3),2013-10-25,Agg Fleeing and Eluding,Risk of Recidivism,8,High,2013-05-19,Risk of Violence,3,Low,2013-05-19,2013-05-19,2013-05-20,10,1,159,1,1 +3603,james augustin,james,augustin,2013-01-03,Male,1985-07-23,30,25 - 45,African-American,0,6,0,0,6,0,2013-01-03 01:22:48,2013-01-04 06:15:58,13000123CF10A,2013-01-03,,0,F,Driving While License Revoked,1,14018095TC10A,(M2),,2014-04-24,DWLS/License Susp/Revoked,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-03,Risk of Violence,4,Low,2013-01-03,2013-01-03,2013-01-04,6,1,476,1,1 +3604,phillip hunt,phillip,hunt,2013-03-08,Male,1962-05-24,53,Greater than 45,Other,0,5,0,0,1,733,2015-03-11 07:45:41,2015-03-16 09:42:12,12010684CF10A,,2012-12-06,92,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-08,Risk of Violence,2,Low,2013-03-08,2015-03-11,2015-03-16,1,0,733,0,0 +3605,victor levell,victor,levell,2013-11-11,Male,1971-10-17,44,25 - 45,African-American,0,1,0,0,0,-1,2013-11-10 03:52:01,2013-11-11 07:55:14,13015658CF10A,2013-11-10,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-11,Risk of Violence,2,Low,2013-11-11,2014-01-23,2014-06-04,0,0,73,0,0 +3607,louis franck,louis,franck,2014-04-05,Male,1958-12-12,57,Greater than 45,Caucasian,0,3,0,0,3,,,,11018944TC40A,2011-03-15,,1117,M,Posses/Disply Susp/Revk/Frd DL,1,15002291MM10A,(M1),,2014-12-22,Unlicensed Contractor,,,,0,,,,,Risk of Recidivism,3,Low,2014-04-05,Risk of Violence,1,Low,2014-04-05,,,3,0,261,1,1 +3611,randall zucker,randall,zucker,2013-10-03,Male,1955-01-05,61,Greater than 45,Caucasian,0,6,0,0,10,-1,2013-10-02 11:48:45,2013-10-25 08:32:28,13013818CF10A,2013-10-02,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-03,Risk of Violence,5,Medium,2013-10-03,2013-12-24,2014-01-08,10,22,82,0,0 +3614,denard shell,denard,shell,2013-09-14,Male,1989-06-20,26,25 - 45,African-American,0,9,0,0,1,-1,2013-09-13 11:20:38,2013-09-14 07:13:20,13012960CF10A,,2013-09-13,1,F,arrest case no charge,1,14014480CF10A,(F3),0,2014-10-28,Grand Theft in the 3rd Degree,2014-10-28,2014-11-08,,0,,,,,Risk of Recidivism,9,High,2013-09-14,Risk of Violence,7,Medium,2013-09-14,2014-10-28,2014-11-08,1,0,409,1,1 +3616,edwin davis,edwin,davis,2014-09-20,Male,1967-05-13,48,Greater than 45,African-American,1,7,0,0,10,-1,2014-09-19 03:50:41,2014-09-23 06:15:00,14012711CF10A,2014-09-19,,1,F,Felony Driving While Lic Suspd,1,15030363TC10A,(M2),,2015-10-30,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2014-09-20,Risk of Violence,6,Medium,2014-09-20,2014-09-19,2014-09-23,10,3,405,1,1 +3617,ronald burns,ronald,burns,2013-12-29,Male,1973-07-16,42,25 - 45,African-American,0,1,0,0,4,0,2013-12-29 04:03:24,2013-12-29 07:27:08,08058411TC40A,2008-06-29,,2009,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-29,Risk of Violence,1,Low,2013-12-29,2015-11-23,2015-12-07,4,0,694,0,0 +3618,jeremy miks,jeremy,miks,2014-06-15,Male,1978-03-26,38,25 - 45,Caucasian,0,8,0,0,10,-1,2014-06-14 07:54:48,2014-06-15 01:26:31,14008240CF10A,2014-06-14,,1,F,Possession of Cocaine,1,14009994CF10A,(F3),0,2014-07-22,Possession of Cocaine,2014-07-22,2014-08-25,,0,,,,,Risk of Recidivism,8,High,2014-06-15,Risk of Violence,2,Low,2014-06-15,2014-07-22,2014-08-25,10,0,37,1,1 +3619,willie clark,willie,clark,2013-08-06,Male,1977-02-09,39,25 - 45,African-American,0,2,0,0,4,-32,2013-07-05 12:39:54,2013-07-12 08:26:45,13011031CF10A,2013-08-06,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-06,Risk of Violence,2,Low,2013-08-06,2013-09-18,2013-10-02,4,0,43,0,0 +3620,stella ashen,stella,ashen,2013-12-16,Female,1963-01-03,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-15 12:10:10,2013-12-16 01:08:05,13023231MM10A,2013-12-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0 +3622,leonard joiner,leonard,joiner,2013-01-17,Male,1989-12-16,26,25 - 45,African-American,0,10,0,0,3,-1,2013-01-16 07:22:02,2013-01-18 05:35:35,13001101MO10A,2013-01-16,,1,M,Poss Of Controlled Substance,1,15004511CF10A,(F3),0,2015-04-06,Grand Theft in the 3rd Degree,2015-04-06,2015-04-06,,0,,,,,Risk of Recidivism,10,High,2013-01-17,Risk of Violence,9,High,2013-01-17,2015-04-06,2015-04-06,3,1,809,0,0 +3624,raheme ward,raheme,ward,2013-03-21,Male,1994-03-10,22,Less than 25,African-American,0,7,0,0,1,-1,2013-03-20 01:58:27,2013-03-21 01:08:42,13004040CF10A,2013-03-20,,1,F,Burglary Unoccupied Dwelling,1,14017898TC10A,(M2),415,2014-05-03,Operating W/O Valid License,2015-06-22,2015-10-01,,0,,,,,Risk of Recidivism,7,Medium,2013-03-21,Risk of Violence,6,Medium,2013-03-21,2013-05-23,2013-05-25,1,0,63,0,1 +3626,juan conde,juan,conde,2014-02-12,Male,1966-01-16,50,Greater than 45,Caucasian,0,7,0,0,0,-1,2014-02-11 04:53:10,2014-03-13 10:02:48,14001935CF10A,2014-02-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-07-02,2014-07-10,0,29,140,0,0 +3627,mark montalvo,mark,montalvo,2013-01-26,Male,1972-04-07,44,25 - 45,Caucasian,3,7,0,0,16,-1,2013-01-25 06:55:19,2013-04-17 04:51:55,13001817MM10A,2013-01-25,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-26,Risk of Violence,3,Low,2013-01-26,2013-01-25,2013-04-17,16,81,1161,0,0 +3628,kwamane harris,kwamane,harris,2014-10-07,Male,1991-08-07,24,Less than 25,African-American,0,6,1,3,4,-1,2014-10-06 01:51:55,2014-10-07 06:59:41,14013476CF10A,2014-10-06,,1,F,Agg Assault W/int Com Fel Dome,1,15001799CF10A,(F3),6,2015-02-02,Felony Battery (Dom Strang),2015-02-08,2015-02-09,,1,15001799CF10A,(F3),2015-02-02,Felony Battery (Dom Strang),Risk of Recidivism,6,Medium,2014-10-07,Risk of Violence,6,Medium,2014-10-07,2014-11-07,2014-11-21,4,0,31,0,1 +3629,breon brown,breon,brown,2013-02-20,Male,1994-11-06,21,Less than 25,African-American,0,7,0,0,0,-1,2013-02-19 05:17:20,2013-02-20 09:03:47,13002537CF10A,2013-02-19,,1,F,Grand Theft in the 3rd Degree,1,13006330CF10A,(F3),0,2013-05-02,Grand Theft in the 3rd Degree,2013-05-02,2013-08-24,,0,,,,,Risk of Recidivism,7,Medium,2013-02-20,Risk of Violence,7,Medium,2013-02-20,2013-05-02,2013-08-24,0,0,71,1,1 +3630,patricio regaldo,patricio,regaldo,2013-05-11,Male,1965-10-20,50,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-11 03:05:18,2013-05-13 07:50:55,13006755CF10A,2013-05-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-11,Risk of Violence,1,Low,2013-05-11,2013-05-11,2013-05-13,0,2,1056,0,0 +3631,danielle sites,danielle,sites,2014-02-08,Female,1980-04-08,36,25 - 45,Caucasian,0,1,0,0,0,0,2014-02-08 04:16:48,2014-02-09 06:28:32,14002209MM10A,2014-02-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-08,Risk of Violence,1,Low,2014-02-08,2014-02-08,2014-02-09,0,1,783,0,0 +3634,miguel palacios,miguel,palacios,2013-03-29,Male,1976-07-21,39,25 - 45,Caucasian,0,3,0,0,0,-1,2013-03-28 05:41:23,2013-05-21 11:04:40,13004697CF10A,,2013-03-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-29,Risk of Violence,2,Low,2013-03-29,2013-03-28,2013-05-21,0,53,1099,0,0 +3635,tierra peterson,tierra,peterson,2013-03-12,Female,1991-12-09,24,Less than 25,African-American,0,4,0,0,2,729,2015-03-11 11:49:34,2015-03-25 08:27:11,13002573CF10A,2012-12-12,,90,F,Crim Use Of Personal Id Info,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-12,Risk of Violence,4,Low,2013-03-12,2015-03-11,2015-03-25,2,0,729,0,0 +3636,sarah grissett,sarah,grissett,2013-05-12,Female,1961-05-28,54,Greater than 45,African-American,0,6,0,0,7,-1,2013-05-11 09:03:48,2013-05-30 05:36:11,13006784CF10A,2013-05-11,,1,F,Fraudulent Use of Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-12,Risk of Violence,1,Low,2013-05-12,2013-05-11,2013-05-30,7,18,1055,0,0 +3639,samuel bennett,samuel,bennett,2013-08-07,Male,1987-01-05,29,25 - 45,African-American,0,2,0,0,0,0,2013-08-07 04:13:32,2013-08-08 01:51:29,13011057CF10A,2013-08-06,,1,M,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-07,Risk of Violence,2,Low,2013-08-07,2013-08-07,2013-08-08,0,1,968,0,0 +3641,michael flores,michael,flores,2014-01-26,Male,1989-05-26,26,25 - 45,Caucasian,0,6,0,0,0,-1,2014-01-25 11:17:21,2014-01-26 08:05:58,14001432MM10A,2014-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-26,Risk of Violence,2,Low,2014-01-26,2014-01-25,2014-01-26,0,0,796,0,0 +3642,james howard,james,howard,2014-02-07,Male,1975-03-15,41,25 - 45,African-American,0,4,0,0,3,-1,2014-02-06 06:40:05,2014-02-07 09:07:57,14001722CF10A,2014-02-06,,1,F,Felony Driving While Lic Suspd,1,14029458TC10A,(M1),0,2014-07-30,Opert With Susp DL 2nd Offens,2014-07-30,2014-07-31,,0,,,,,Risk of Recidivism,4,Low,2014-02-07,Risk of Violence,2,Low,2014-02-07,2014-07-30,2014-07-31,3,0,173,1,1 +3643,gary gilmore,gary,gilmore,2014-02-12,Male,1992-12-23,23,Less than 25,African-American,0,6,0,0,1,-1,2014-02-11 03:14:34,2014-02-13 09:26:10,14001926CF10A,2014-02-11,,1,F,Grand Theft in the 3rd Degree,1,14007879MM10A,(M1),0,2014-05-14,Petit Theft $100- $300,2014-05-14,2014-06-14,,0,,,,,Risk of Recidivism,6,Medium,2014-02-12,Risk of Violence,5,Medium,2014-02-12,2014-05-14,2014-06-14,1,1,91,1,1 +3645,moises delgado,moises,delgado,2013-11-18,Male,1981-11-08,34,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-17 08:34:35,2013-11-18 08:26:12,13021606MM10A,2013-11-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,2,Low,2013-11-18,2013-11-17,2013-11-18,0,0,865,0,0 +3646,bart jano,bart,jano,2014-12-03,Male,1984-10-08,31,25 - 45,Caucasian,0,7,0,0,11,0,2014-12-03 12:55:07,2014-12-15 09:19:24,14016072CF10A,2014-12-02,,1,F,False Ownership Info/Pawn Item,1,15000870CF10A,(F3),0,2015-01-20,Grand Theft in the 3rd Degree,2015-01-20,2015-03-13,,0,,,,,Risk of Recidivism,7,Medium,2014-12-03,Risk of Violence,9,High,2014-12-03,2015-01-20,2015-03-13,11,12,48,1,1 +3647,alliyah anderson,alliyah,anderson,2013-12-24,Male,1995-04-24,20,Less than 25,African-American,0,3,0,0,0,-1,2013-12-23 07:21:11,2013-12-25 03:56:33,13017700CF10A,2013-12-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-24,Risk of Violence,6,Medium,2013-12-24,2013-12-23,2013-12-25,0,1,829,0,0 +3648,enrico nelson,enrico,nelson,2014-03-24,Male,1967-01-18,49,Greater than 45,African-American,0,6,0,0,10,-1,2014-03-23 05:30:50,2014-05-06 04:48:05,14004087CF10A,,2014-03-23,1,F,arrest case no charge,1,14017714TC10A,(M2),0,2014-05-10,Susp Drivers Lic 1st Offense,2014-05-10,2014-09-23,,0,,,,,Risk of Recidivism,6,Medium,2014-03-24,Risk of Violence,3,Low,2014-03-24,2014-05-10,2014-09-23,10,43,47,1,1 +3649,sean cherfils,sean,cherfils,2014-05-10,Male,1990-01-12,26,25 - 45,African-American,0,8,0,0,4,0,2014-05-10 12:21:42,2014-05-11 01:42:50,14006519CF10A,2014-05-10,,0,F,Possession Of Methamphetamine,1,15003282MM10A,(M1),0,2015-03-19,Resist/Obstruct W/O Violence,2015-03-19,2015-03-20,,1,16000812MM10A,(M1),2016-01-23,Battery,Risk of Recidivism,8,High,2014-05-10,Risk of Violence,6,Medium,2014-05-10,2015-03-19,2015-03-20,4,1,313,1,1 +3652,rasheed cunningham,rasheed,cunningham,2014-01-10,Male,1988-02-29,28,25 - 45,African-American,0,4,0,0,1,-1,2014-01-09 09:19:35,2014-01-10 07:51:13,14000371CF10A,2014-01-09,,1,F,Possession of Cocaine,1,14002838MM40A,(M1),249,2014-03-14,Possess Drug Paraphernalia,2014-11-18,2014-12-08,,0,,,,,Risk of Recidivism,4,Low,2014-01-10,Risk of Violence,2,Low,2014-01-10,2014-11-18,2014-12-08,1,0,63,1,1 +3653,justin lynch,justin,lynch,2013-01-10,Male,1990-02-28,26,25 - 45,African-American,0,2,0,0,0,-1,2013-01-09 10:58:44,2013-01-10 01:20:58,13000400CF10A,2013-01-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,3,Low,2013-01-10,2013-01-09,2013-01-10,0,0,1177,0,0 +3655,gregory willey,gregory,willey,2013-03-31,Male,1960-11-26,55,Greater than 45,African-American,0,4,0,0,1,-1,2013-03-30 08:52:46,2013-03-31 02:25:58,13004581CF10A,2013-03-30,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-03-30,2013-03-31,1,0,1097,0,0 +3656,duson charles,duson,charles,2013-04-25,Male,1993-07-23,22,Less than 25,African-American,0,9,0,0,0,-1,2013-04-24 01:27:25,2013-04-26 04:29:27,13007972MM10A,2013-04-24,,1,M,Prowling/Loitering,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-25,Risk of Violence,7,Medium,2013-04-25,2013-04-24,2013-04-26,0,1,1072,0,0 +3657,lanique lee,lanique,lee,2014-02-16,Female,1989-08-23,26,25 - 45,African-American,0,4,0,0,0,-1,2014-02-15 02:28:22,2014-02-16 09:23:55,14002664MM10A,2014-02-15,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-16,Risk of Violence,3,Low,2014-02-16,2014-02-15,2014-02-16,0,0,775,0,0 +3658,hassan ahmed,hassan,ahmed,2013-02-10,Male,1959-09-15,56,Greater than 45,Other,0,1,0,0,0,0,2013-02-10 07:14:52,2013-02-11 07:22:42,13002949MM10A,2013-02-10,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-10,Risk of Violence,1,Low,2013-02-10,2013-02-10,2013-02-11,0,1,1146,0,0 +3659,francisco sanchezferrans,francisco,sanchezferrans,2013-02-27,Male,1949-08-09,66,Greater than 45,Caucasian,0,1,0,0,1,331,2014-01-24 10:33:08,2014-07-10 12:38:49,11012504CF10A,,2013-02-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-27,Risk of Violence,2,Low,2013-02-27,2014-01-24,2014-07-10,1,0,331,0,0 +3660,terrence adderly,terrence,adderly,2013-10-23,Male,1969-12-08,46,Greater than 45,Other,0,3,0,0,2,-1,2013-10-22 04:07:57,2013-10-23 04:12:28,13014750CF10A,2013-10-22,,1,F,Possession Of Diazepam,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-23,Risk of Violence,4,Low,2013-10-23,2013-10-22,2013-10-23,2,0,891,0,0 +3661,jerome harlis,jerome,harlis,2014-05-02,Male,1957-12-13,58,Greater than 45,African-American,0,6,0,0,16,-1,2014-05-01 01:36:34,2014-07-08 11:23:49,14005755CF10A,,2014-05-01,1,F,arrest case no charge,1,14010562MM10A,(M2),0,2014-07-09,Petit Theft,2014-07-09,2014-08-21,,0,,,,,Risk of Recidivism,6,Medium,2014-05-02,Risk of Violence,3,Low,2014-05-02,2014-07-09,2014-08-21,16,67,68,1,1 +3662,jamar dukes,jamar,dukes,2013-03-25,Male,1988-02-10,28,25 - 45,African-American,0,7,0,0,4,-1,2013-03-24 11:47:45,2013-04-23 09:07:38,13004248CF10A,2013-03-24,,1,F,Burglary Structure Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-25,Risk of Violence,9,High,2013-03-25,2013-03-24,2013-04-23,4,29,1103,0,0 +3663,andre laidlaw,andre,laidlaw,2013-01-31,Male,1982-08-22,33,25 - 45,African-American,0,6,0,0,8,-1,2013-01-30 11:49:24,2013-02-01 09:53:16,13001501CF10A,2013-01-30,,1,F,Possession of Oxycodone,1,15039267TC30A,(M2),,2015-05-26,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-31,Risk of Violence,5,Medium,2013-01-31,2013-01-30,2013-02-01,8,1,845,1,0 +3666,marquita young,marquita,young,2014-01-05,Female,1984-07-27,31,25 - 45,African-American,0,2,0,0,0,-1,2014-01-04 09:31:56,2014-01-05 01:37:46,14000173MM10A,2014-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-05,Risk of Violence,2,Low,2014-01-05,2014-01-04,2014-01-05,0,0,817,0,0 +3667,dywahn bethea,dywahn,bethea,2013-01-15,Male,1989-10-18,26,25 - 45,African-American,0,5,0,0,1,0,2013-01-15 05:01:03,2013-01-15 06:43:13,13001017MO10A,2013-01-15,,0,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-15,Risk of Violence,4,Low,2013-01-15,2013-01-15,2013-01-15,1,0,1172,0,0 +3668,ayinde crespo,ayinde,crespo,2013-10-25,Male,1980-07-23,35,25 - 45,African-American,0,5,0,0,4,,,,11025642MO10A,2011-11-03,,722,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,2,Low,2013-10-25,,,4,0,889,0,0 +3669,roxana stewart,roxana,stewart,2014-03-10,Female,1974-09-01,41,25 - 45,Caucasian,0,7,0,0,12,-45,2014-01-24 08:31:19,2014-02-04 06:41:24,14003149CF10A,2014-01-24,,45,F,Felony Battery w/Prior Convict,1,15003741MM10A,(M1),0,2015-03-31,Battery,2015-03-31,2015-04-13,,1,15003741MM10A,(M1),2015-03-31,Battery,Risk of Recidivism,7,Medium,2014-03-10,Risk of Violence,5,Medium,2014-03-10,2015-03-31,2015-04-13,12,0,386,1,1 +3671,jason mills,jason,mills,2013-04-13,Male,1981-05-28,34,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-12 08:57:34,2013-04-13 08:11:57,13007128MM10A,2013-04-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-13,Risk of Violence,1,Low,2013-04-13,2013-04-12,2013-04-13,0,0,1084,0,0 +3673,dwayne taylor,dwayne,taylor,2013-04-26,Male,1983-01-04,33,25 - 45,Other,0,1,0,0,0,-1,2013-04-25 06:50:35,2013-04-26 08:17:42,13005932CF10A,2013-04-25,,1,F,Sell or Offer for Sale Counterfeit Goods,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-26,Risk of Violence,1,Low,2013-04-26,2013-04-25,2013-04-26,0,0,1071,0,0 +3674,shawnnette longley,shawnnette,longley,2014-02-16,Female,1983-11-08,32,25 - 45,African-American,0,2,0,0,0,-1,2014-02-15 03:23:21,2014-02-16 02:27:00,14002320CF10A,2014-02-15,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-16,Risk of Violence,1,Low,2014-02-16,2014-02-15,2014-02-16,0,0,775,0,0 +3675,shaun mckinley,shaun,mckinley,2013-09-13,Male,1979-02-07,37,25 - 45,African-American,0,6,0,0,9,0,2013-09-13 03:59:13,2013-09-14 04:59:30,13012938CF10A,2013-09-12,,1,F,Poss Cocaine/Intent To Del/Sel,1,14006946CF10A,(F3),0,2014-05-19,False Imprisonment,2014-05-19,2014-12-09,,1,14006946CF10A,(F2),2014-05-19,Agg Battery Grt/Bod/Harm,Risk of Recidivism,6,Medium,2013-09-13,Risk of Violence,9,High,2013-09-13,2014-05-19,2014-12-09,9,1,248,1,1 +3676,bennie peele,bennie,peele,2013-06-06,Male,1965-09-29,50,Greater than 45,African-American,0,5,0,0,1,-22,2013-05-15 11:16:40,2013-05-16 02:04:44,13006966CF10A,2013-05-15,,22,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-06,Risk of Violence,5,Medium,2013-06-06,2013-05-15,2013-05-16,1,0,1030,0,0 +3678,derek suarez,derek,suarez,2013-09-12,Male,1981-03-05,35,25 - 45,Caucasian,0,2,0,0,1,-1,2013-09-11 10:29:21,2013-09-14 03:06:09,13013034CF10A,,2013-09-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-14,1,2,932,0,0 +3679,lisa hitzemankhan,lisa,hitzemankhan,2013-12-11,Female,1968-11-30,47,Greater than 45,Caucasian,0,3,0,0,0,-6,2013-12-05 05:51:54,2013-12-09 10:02:46,13022581MM10A,2013-12-05,,6,M,Prostitution/Lewd Act Assignation,1,15008216CF10A,(F3),0,2015-06-25,Possession of Cocaine,2015-06-25,2015-07-05,,0,,,,,Risk of Recidivism,3,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2015-06-25,2015-07-05,0,0,561,1,1 +3681,jacqueline battle,jacqueline,battle,2013-05-02,Female,1963-08-16,52,Greater than 45,African-American,0,9,0,0,8,-1,2013-05-01 09:03:54,2013-06-13 10:32:00,13006255CF10A,,2013-05-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-02,Risk of Violence,7,Medium,2013-05-02,2014-09-11,2014-10-16,8,42,497,0,0 +3684,jarvis cure,jarvis,cure,2013-12-18,Male,1989-11-04,26,25 - 45,African-American,0,7,1,2,5,-1,2013-12-17 06:58:28,2013-12-23 08:06:12,13017402CF10A,2013-12-17,,1,F,Shoot In Occupied Dwell,1,14000143MM10A,(M1),0,2014-01-03,Resist/Obstruct W/O Violence,2014-01-03,2014-01-16,,1,14006197CF10A,(M1),2014-05-03,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,7,Medium,2013-12-18,Risk of Violence,7,Medium,2013-12-18,2014-01-03,2014-01-16,5,5,16,1,1 +3685,raymon frazier,raymon,frazier,2013-01-27,Male,1979-12-02,36,25 - 45,African-American,0,9,0,0,1,,,,03002467TC10A,,2003-01-15,3665,M,arrest case no charge,1,14013106TC10A,(M2),,2014-03-21,Operating W/O Valid License,,,,1,15016021CF10A,(F7),2015-12-11,Burglary Dwelling Armed,Risk of Recidivism,9,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2009-10-08,2010-12-30,1,0,418,1,1 +3687,joseph leeks,joseph,leeks,2014-07-02,Male,1970-11-01,45,Greater than 45,African-American,0,1,0,0,13,-1,2014-07-01 09:40:24,2014-07-02 09:22:59,14009025CF10A,2014-07-01,,1,F,Felony Driving While Lic Suspd,1,14081187TC20A,(M2),,2014-11-18,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-07-02,Risk of Violence,1,Low,2014-07-02,2014-07-01,2014-07-02,13,0,139,1,1 +3691,daniel levy,daniel,levy,2014-10-08,Male,1996-09-14,19,Less than 25,Other,0,9,0,0,0,-1,2014-10-07 03:10:54,2014-10-08 08:30:31,14014703MM10A,2014-10-07,,1,M,Battery,1,15005201CF10A,(F3),0,2015-04-21,Aggravated Assault W/Dead Weap,2015-04-21,2015-05-27,,1,15005201CF10A,(F3),2015-04-21,Aggravated Assault W/Dead Weap,Risk of Recidivism,9,High,2014-10-08,Risk of Violence,9,High,2014-10-08,2015-04-21,2015-05-27,0,0,195,1,1 +3692,adam swint,adam,swint,2013-02-20,Male,1975-01-16,41,25 - 45,African-American,0,2,0,0,8,-1,2013-02-19 03:10:42,2013-02-20 09:19:43,13002526CF10A,2013-02-19,,1,F,Driving While License Revoked,1,14039239TC40A,(M2),,2014-05-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-20,Risk of Violence,4,Low,2013-02-20,2015-04-29,2015-04-29,8,0,463,1,1 +3693,jordan carson,jordan,carson,2014-03-15,Male,1991-08-22,24,Less than 25,African-American,0,2,0,0,0,0,2014-03-15 01:13:11,2014-03-16 08:35:16,14004527MM10A,2014-03-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-15,Risk of Violence,3,Low,2014-03-15,2015-06-12,2015-06-22,0,1,454,0,0 +3696,deandre fleury,deandre,fleury,2013-01-31,Male,1995-01-18,21,Less than 25,African-American,0,9,1,0,1,-1,2013-01-30 07:13:30,2013-01-31 07:16:59,13001505CF10A,2013-01-30,,1,F,Robbery / No Weapon,1,15001200MM20A,(M1),,2015-04-15,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-01-31,Risk of Violence,8,High,2013-01-31,2013-01-30,2013-01-31,1,0,804,1,0 +3697,adolfo casco,adolfo,casco,2013-01-27,Male,1962-01-06,54,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-26 07:42:36,2013-01-27 01:56:31,13001884MM10A,2013-01-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-27,Risk of Violence,2,Low,2013-01-27,2013-01-26,2013-01-27,0,0,1160,0,0 +3698,stephen kasdorf,stephen,kasdorf,2013-11-11,Male,1966-05-01,49,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-10 11:42:59,2014-01-23 05:55:25,13015646CF10A,2013-11-10,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-11,Risk of Violence,1,Low,2013-11-11,2014-10-25,2014-11-03,0,73,348,0,0 +3699,alexander johnson,alexander,johnson,2013-02-13,Male,1973-09-17,42,25 - 45,Caucasian,0,2,0,0,1,0,2013-02-13 12:16:53,2013-12-03 10:21:52,13002280CF10A,,2013-02-13,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2014-03-28,2014-04-25,1,293,408,0,0 +3700,jamal long,jamal,long,2014-01-01,Male,1994-08-11,21,Less than 25,African-American,0,4,0,0,1,0,2014-01-01 03:28:34,2014-01-02 12:12:34,14000042CF10A,2014-01-01,,0,F,Possession of Cocaine,1,14002767CF10A,(F3),0,2014-02-27,Possession of Cocaine,2014-02-27,2014-04-02,,0,,,,,Risk of Recidivism,4,Low,2014-01-01,Risk of Violence,6,Medium,2014-01-01,2014-02-27,2014-04-02,1,1,57,1,1 +3701,bruce gadson,bruce,gadson,2013-10-23,Male,1955-02-04,61,Greater than 45,African-American,0,4,0,0,30,-56,2013-08-28 12:56:40,2013-10-17 12:53:19,11006754CF10A,,2013-08-28,56,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-23,Risk of Violence,2,Low,2013-10-23,2013-08-28,2013-10-17,30,0,891,0,0 +3702,scott botkin,scott,botkin,2013-02-08,Male,1969-10-05,46,Greater than 45,Caucasian,0,8,0,0,5,0,2013-02-08 05:09:11,2013-02-08 02:00:40,13004069CF10A,2013-02-08,,0,F,Battery On A Person Over 65,1,14000196CF10A,(F3),1,2014-01-04,Possession of Cocaine,2014-01-05,2014-01-05,,0,,,,,Risk of Recidivism,8,High,2013-02-08,Risk of Violence,3,Low,2013-02-08,2013-03-18,2013-05-24,5,0,38,0,1 +3703,ramon velez-cupeles,ramon,velez-cupeles,2013-10-20,Male,1942-04-07,74,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-20 12:02:11,2013-10-21 09:18:21,13019809MM10A,2013-10-19,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-20,Risk of Violence,1,Low,2013-10-20,2013-10-20,2013-10-21,0,1,894,0,0 +3704,gina leon,gina,leon,2013-01-03,Female,1978-03-01,38,25 - 45,Hispanic,0,1,0,0,0,0,2013-01-03 02:25:14,2013-01-03 06:46:16,13000121CF10A,2013-01-03,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-03,2013-01-03,0,0,1184,0,0 +3705,byron calhoun,byron,calhoun,2014-02-11,Male,1940-07-23,75,Greater than 45,Caucasian,0,1,0,0,2,,,,13078801TC20A,2013-12-15,,58,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-11,Risk of Violence,1,Low,2014-02-11,,,2,0,780,0,0 +3706,keisha grant,keisha,grant,2013-04-09,Female,1976-11-01,39,25 - 45,African-American,0,1,0,0,1,-1,2013-04-08 08:24:50,2013-04-09 02:11:07,12000242CF10A,,2013-04-09,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-04-08,2013-04-09,1,0,1088,0,0 +3709,tesa edwards,tesa,edwards,2013-04-14,Female,1977-11-17,38,25 - 45,African-American,0,1,0,0,0,-1,2013-04-13 02:34:02,2013-04-17 11:11:49,13005334CF10A,,2013-04-13,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-14,Risk of Violence,1,Low,2013-04-14,2013-04-13,2013-04-17,0,3,1083,0,0 +3710,oswald silver,oswald,silver,2014-12-02,Male,1996-11-23,19,Less than 25,African-American,1,7,0,1,1,-1,2014-12-01 05:57:40,2014-12-02 09:46:35,14016011CF10A,,2014-12-01,1,F,arrest case no charge,1,15002792CF10A,(M2),0,2015-02-28,Unlaw LicTag/Sticker Attach,2015-02-28,2015-03-01,,0,,,,,Risk of Recidivism,7,Medium,2014-12-02,Risk of Violence,9,High,2014-12-02,2015-02-28,2015-03-01,1,0,88,1,1 +3711,joshua salgado,joshua,salgado,2013-04-14,Male,1988-02-12,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-13 06:05:38,2013-04-14 07:43:28,13005348CF10A,2013-04-13,,1,F,Burglary Unoccupied Dwelling,1,14012622MM10A,(M1),0,2014-08-21,Resist/Obstruct W/O Violence,2014-08-21,2014-08-26,,0,,,,,Risk of Recidivism,2,Low,2013-04-14,Risk of Violence,3,Low,2013-04-14,2014-08-21,2014-08-26,0,0,494,1,1 +3712,john mathis,john,mathis,2013-03-05,Male,1962-08-31,53,Greater than 45,African-American,0,1,0,0,2,,,,05014965CF10A,,2008-10-21,1596,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,1,Low,2013-03-05,,,2,0,1123,0,0 +3713,brian scott,brian,scott,2013-02-06,Male,1990-09-17,25,25 - 45,African-American,0,6,0,0,1,-1,2013-02-05 07:43:26,2013-03-06 06:27:56,13001761CF10A,2013-02-05,,1,F,Fleeing or Eluding a LEO,1,14086991TC20A,(M2),,2014-12-12,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-06,Risk of Violence,5,Medium,2013-02-06,2014-06-18,2014-06-23,1,28,497,0,1 +3714,allatia hogan,allatia,hogan,2013-04-05,Male,1963-01-20,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-04-04 11:14:20,2013-04-05 09:47:00,13006497MM10A,2013-04-04,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-04,2013-04-05,1,0,1092,0,0 +3716,jeffrey jackson,jeffrey,jackson,2013-05-02,Male,1962-09-08,53,Greater than 45,African-American,0,7,0,0,4,,,,12005643CF10A,2012-04-16,,381,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-02,Risk of Violence,1,Low,2013-05-02,,,4,0,1065,0,0 +3719,marvin robins,marvin,robins,2013-01-30,Male,1993-02-13,23,Less than 25,African-American,0,9,1,0,2,-1,2013-01-29 05:48:24,2013-04-16 01:26:37,13001446CF10A,2013-01-29,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-30,Risk of Violence,9,High,2013-01-30,2013-01-29,2013-04-16,2,76,1157,0,0 +3720,james crowley,james,crowley,2013-03-24,Male,1960-09-22,55,Greater than 45,Caucasian,0,9,0,0,33,-1,2013-03-23 03:20:19,2013-11-20 04:58:00,13004219CF10A,2013-03-23,,1,F,Felony Petit Theft,1,14000857CF10A,(F3),0,2014-01-20,Felony Petit Theft,2014-01-20,2014-09-19,,0,,,,,Risk of Recidivism,9,High,2013-03-24,Risk of Violence,3,Low,2013-03-24,2014-01-20,2014-09-19,33,241,302,1,1 +3721,tania quaknine,tania,quaknine,2013-10-10,Female,1951-07-21,64,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-10-09 04:50:03,2013-10-10 09:49:38,13014150CF10A,,2013-10-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-10-09,2013-10-10,1,0,904,0,0 +3722,davante houston,davante,houston,2014-01-11,Male,1992-10-21,23,Less than 25,African-American,0,7,0,0,1,-1,2014-01-10 08:09:37,2014-02-06 09:07:24,14000514MM10A,2014-01-10,,1,M,Battery,1,15009813TC40A,(M2),,2015-01-26,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-11,Risk of Violence,6,Medium,2014-01-11,2014-01-10,2014-02-06,1,26,380,1,1 +3724,patricio guillen,patricio,guillen,2013-01-07,Male,1977-06-25,38,25 - 45,Hispanic,0,1,0,0,1,,,,12020597MM10A,2012-10-05,,94,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-07,Risk of Violence,1,Low,2013-01-07,,,1,0,1180,0,0 +3725,rajiv beckford,rajiv,beckford,2013-12-22,Male,1992-05-24,23,Less than 25,African-American,0,8,0,2,4,-1,2013-12-21 06:33:58,2013-12-22 04:20:12,13017614CF10A,2013-12-21,,1,F,Possession of Cannabis,1,14000954MM40A,(M1),,2014-02-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-12-22,Risk of Violence,5,Medium,2013-12-22,2015-07-28,2015-08-07,4,0,58,1,1 +3726,norma villalobos,norma,villalobos,2014-03-03,Female,1975-02-08,41,25 - 45,Hispanic,0,1,0,0,0,0,2014-03-03 02:43:25,2014-03-03 05:22:22,14003002CF10A,2014-03-02,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-03,2014-03-03,0,0,760,0,0 +3728,nikson suffrin,nikson,suffrin,2013-09-03,Male,1962-10-12,53,Greater than 45,Other,0,1,0,0,0,0,2013-09-03 03:51:17,2013-09-03 09:08:08,13016861MM10A,2013-09-03,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-03,Risk of Violence,1,Low,2013-09-03,2013-09-03,2013-09-03,0,0,941,0,0 +3729,enrick williams,enrick,williams,2013-12-01,Male,1982-02-12,34,25 - 45,African-American,0,1,0,0,0,-1,2013-11-30 04:17:12,2013-12-02 11:39:59,13016610CF10A,2013-11-30,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,2013-11-30,2013-12-02,0,1,852,0,0 +3730,julian garsonbaquero,julian,garsonbaquero,2014-05-17,Male,1992-01-13,24,Less than 25,Hispanic,0,1,0,0,0,-1,2014-05-16 05:57:24,2014-05-17 08:05:25,14006830CF10A,2014-05-16,,1,F,Felony Battery (Dom Strang),1,14008371MM10A,(M1),0,2014-05-24,Viol Injunction Protect Dom Vi,2014-05-24,2014-05-25,,0,,,,,Risk of Recidivism,1,Low,2014-05-17,Risk of Violence,3,Low,2014-05-17,2014-05-24,2014-05-25,0,0,7,1,1 +3732,christopher shuman,christopher,shuman,2013-09-09,Male,1990-02-23,26,25 - 45,African-American,0,1,0,0,1,-1,2013-09-08 08:06:42,2013-10-10 10:15:22,13012693CF10A,2013-09-08,,1,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-09,Risk of Violence,2,Low,2013-09-09,2013-09-08,2013-10-10,1,31,935,0,0 +3736,fidel novoa,fidel,novoa,2013-08-01,Male,1971-06-22,44,25 - 45,Caucasian,0,2,0,0,4,-1,2013-07-31 07:09:10,2013-08-02 04:53:29,13010702CF10A,2013-07-31,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-12-17,2013-12-20,4,1,138,0,0 +3737,phylichia maggie,phylichia,maggie,2014-02-20,Female,1988-05-09,27,25 - 45,Caucasian,0,2,0,0,0,0,2014-02-20 02:52:25,2014-02-25 06:09:33,14002431CF10A,2014-02-19,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-20,Risk of Violence,2,Low,2014-02-20,2014-02-20,2014-02-25,0,5,771,0,0 +3738,brandon hare,brandon,hare,2013-12-31,Male,1987-09-06,28,25 - 45,Caucasian,0,9,0,0,14,-1,2013-12-30 11:05:49,2013-12-31 07:56:01,13017995CF10A,2013-12-30,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-31,Risk of Violence,3,Low,2013-12-31,2013-12-30,2013-12-31,14,0,822,0,0 +3739,jorge vega,jorge,vega,2013-11-21,Male,1960-07-27,55,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-11-20 08:04:03,2013-11-21 08:17:32,13021839MM10A,2013-11-20,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-21,Risk of Violence,1,Low,2013-11-21,2013-11-20,2013-11-21,1,0,862,0,0 +3740,nadjeda delva,nadjeda,delva,2013-12-23,Female,1993-11-26,22,Less than 25,African-American,0,4,0,0,2,-60,2013-10-24 03:13:54,2013-12-23 02:23:51,13014862CF10A,,2013-10-24,60,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,5,Medium,2013-12-23,2013-10-24,2013-12-23,2,0,830,0,0 +3741,sean fleming,sean,fleming,2014-01-07,Male,1980-03-30,36,25 - 45,African-American,0,5,0,0,15,-1,2014-01-06 11:23:46,2014-01-08 08:09:38,12011657CF10A,,2014-01-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-04-11,2014-04-22,15,1,94,0,0 +3742,michael thomas,michael,thomas,2014-06-22,Male,1986-10-18,29,25 - 45,African-American,0,8,0,0,6,-236,2013-10-29 06:10:09,2013-10-31 02:30:17,13015106CF10A,2013-10-29,,236,F,Fail To Redeliver Hire Prop,1,15009669TC10A,(M2),0,2015-03-13,Susp Drivers Lic 1st Offense,2015-03-13,2015-04-14,,0,,,,,Risk of Recidivism,8,High,2014-06-22,Risk of Violence,6,Medium,2014-06-22,2015-02-18,2015-02-24,6,0,241,0,1 +3743,lawrence gaston,lawrence,gaston,2013-08-26,Male,1993-04-08,23,Less than 25,African-American,0,4,0,0,1,-1,2013-08-25 07:36:07,2013-08-26 07:55:05,13002091CF10A,,2013-08-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-26,Risk of Violence,6,Medium,2013-08-26,2013-10-26,2013-10-29,1,0,61,0,0 +3744,franklin rouse,franklin,rouse,2013-01-03,Male,1959-09-15,56,Greater than 45,African-American,0,1,0,0,1,0,2013-01-03 01:16:58,2013-01-03 01:37:26,13000175MM10A,2013-01-02,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-03,2013-01-03,1,0,1184,0,0 +3745,brian berman,brian,berman,2013-11-17,Male,1989-02-21,27,25 - 45,Caucasian,0,6,0,0,2,-1,2013-11-16 11:24:45,2013-11-17 08:23:08,13015940CF10A,2013-11-16,,1,F,Possession Of Alprazolam,1,15000112MU10A,(M1),1,2015-01-05,Driving Under The Influence,2015-01-06,2015-02-19,,0,,,,,Risk of Recidivism,6,Medium,2013-11-17,Risk of Violence,3,Low,2013-11-17,2015-12-08,2015-12-08,2,0,414,1,1 +3747,angel santiago,angel,santiago,2013-05-26,Male,1978-04-27,37,25 - 45,Caucasian,0,6,0,0,1,-1,2013-05-25 05:53:02,2013-05-26 08:34:47,13010080MM10A,2013-05-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-26,Risk of Violence,4,Low,2013-05-26,2013-05-25,2013-05-26,1,0,1041,0,0 +3749,jeffery wright,jeffery,wright,2013-03-14,Male,1983-11-03,32,25 - 45,African-American,0,8,0,0,1,-1,2013-03-13 08:36:54,2013-03-15 04:37:02,13003672CF10A,2013-03-13,,1,F,Leaving the Scene of Accident,1,14034419TC10A,(M2),0,2014-09-22,Operating W/O Valid License,2014-09-22,2014-09-23,,0,,,,,Risk of Recidivism,8,High,2013-03-14,Risk of Violence,3,Low,2013-03-14,2014-09-22,2014-09-23,1,1,557,1,1 +3751,scotty golden,scotty,golden,2013-05-13,Male,1975-02-04,41,25 - 45,African-American,2,10,0,0,18,-1,2013-05-12 05:52:07,2013-06-15 05:29:51,13009147MM10A,2013-05-12,,1,M,Unlaw Use False Name/Identity,1,15000909CF10A,(M1),0,2015-01-21,Unlaw Use False Name/Identity,2015-01-21,2015-01-23,,0,,,,,Risk of Recidivism,10,High,2013-05-13,Risk of Violence,8,High,2013-05-13,2014-04-12,2014-04-15,18,33,334,0,1 +3754,jonathan king,jonathan,king,2014-02-11,Male,1993-07-06,22,Less than 25,African-American,0,6,0,0,1,-1,2014-02-10 11:15:51,2014-02-12 02:25:03,14001879CF10A,2014-02-10,,1,F,Battery on Law Enforc Officer,1,14008719MM10A,(M1),0,2014-06-01,Criminal Mischief>$200<$1000,2014-06-01,2014-06-02,,0,,,,,Risk of Recidivism,6,Medium,2014-02-11,Risk of Violence,4,Low,2014-02-11,2014-06-01,2014-06-02,1,1,110,1,1 +3757,nicholas stratigeas,nicholas,stratigeas,2014-08-23,Male,1978-04-28,37,25 - 45,Caucasian,0,2,0,0,1,-1,2014-08-22 09:07:15,2014-08-23 01:51:00,14011463CF10A,2014-08-22,,1,F,Possession of Cocaine,1,14016236CF10A,(F3),6,2014-12-01,Possession of Cocaine,2014-12-07,2014-12-22,,0,,,,,Risk of Recidivism,2,Low,2014-08-23,Risk of Violence,1,Low,2014-08-23,2014-12-07,2014-12-22,1,0,100,1,1 +3758,dexter haynes,dexter,haynes,2014-02-27,Male,1970-05-23,45,Greater than 45,African-American,0,2,0,0,3,0,2014-02-27 09:17:50,2014-03-01 04:32:54,14003495MM10A,2014-02-27,,0,M,Viol Pretrial Release Dom Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-27,Risk of Violence,2,Low,2014-02-27,2014-02-27,2014-03-01,3,2,764,0,0 +3759,janice demps,janice,demps,2013-01-29,Female,1984-09-29,31,25 - 45,African-American,0,8,0,0,14,-1,2013-01-28 12:24:29,2013-01-30 07:55:23,13001368CF10A,2013-01-28,,1,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-29,Risk of Violence,8,High,2013-01-29,2013-02-05,2013-03-01,14,1,7,0,0 +3761,richard haynes,richard,haynes,2014-03-08,Male,1973-09-22,42,25 - 45,African-American,0,5,0,0,7,-1,2014-03-07 11:33:05,2014-03-09 09:14:28,14003251CF10A,2014-03-07,,1,F,Felony Battery (Dom Strang),1,14014314CF10A,(M1),70,2014-09-15,Viol Pretrial Release Dom Viol,2014-11-24,2014-11-28,,1,14014314CF10A,(F3),2014-09-15,Felony Battery w/Prior Convict,Risk of Recidivism,5,Medium,2014-03-08,Risk of Violence,1,Low,2014-03-08,2014-03-07,2014-03-09,7,1,191,1,1 +3763,mchason laguerre,mchason,laguerre,2014-07-15,Male,1989-11-22,26,25 - 45,African-American,0,9,2,2,20,-1,2014-07-14 08:30:48,2014-08-13 04:00:19,14009614CF10A,2014-07-14,,1,F,Grand Theft (Motor Vehicle),1,16001376MM10A,(M2),,2016-02-11,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,9,High,2014-07-15,Risk of Violence,6,Medium,2014-07-15,2014-07-14,2014-08-13,20,29,576,1,1 +3765,mitchell haire,mitchell,haire,2013-08-01,Male,1982-07-31,33,25 - 45,Caucasian,0,9,0,0,0,0,2013-08-01 12:25:33,2013-08-02 04:52:43,13010711CF10A,2013-07-31,,1,F,"Deliver 3,4 Methylenediox",1,14014629CF10A,(F2),0,2014-10-31,Sell Methamphetamine,2014-10-31,2014-12-05,,0,,,,,Risk of Recidivism,9,High,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-09-16,2013-09-18,0,1,46,0,1 +3766,kevin hawthorne,kevin,hawthorne,2014-02-26,Male,1993-07-18,22,Less than 25,Caucasian,0,2,0,0,0,0,2014-02-26 03:59:59,2014-02-27 03:28:57,14007385MU10A,2014-02-26,,0,M,DUI Level 0.15 Or Minor In Veh,1,15078477TC30A,(M2),,2015-12-06,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-26,Risk of Violence,4,Low,2014-02-26,2014-02-26,2014-02-27,0,1,648,1,1 +3767,dustin richardson,dustin,richardson,2014-05-13,Male,1983-12-23,32,25 - 45,Caucasian,0,5,0,0,2,-61,2014-03-13 03:55:20,2014-04-11 03:03:42,14003586CF10A,2014-03-12,,62,F,Resist Officer w/Violence,1,15001487MM20A,(M1),,2015-05-28,Criminal Mischief>$200<$1000,,,,0,,,,,Risk of Recidivism,5,Medium,2014-05-13,Risk of Violence,7,Medium,2014-05-13,2015-04-03,2015-05-06,2,0,325,0,1 +3768,natacha cherenfant,natacha,cherenfant,2013-01-02,Female,1980-03-01,36,25 - 45,African-American,0,1,0,0,1,0,2013-01-02 12:43:11,2013-01-02 01:12:11,13000055MM10A,2013-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,2013-01-02,2013-01-02,1,0,1185,0,0 +3769,gregory tauber,gregory,tauber,2013-01-24,Male,1961-10-31,54,Greater than 45,Caucasian,0,1,0,0,0,0,2013-01-24 02:06:19,2013-01-24 07:10:20,13001702MM10A,2013-01-24,,0,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2013-01-24,2013-01-24,0,0,1163,0,0 +3771,rudy stsurin,rudy,stsurin,2013-03-22,Male,1990-12-12,25,25 - 45,African-American,0,9,1,2,5,-1,2013-03-21 06:31:10,2013-08-23 06:39:16,13004120CF10A,,2013-03-21,1,F,arrest case no charge,1,14012733CF10A,(M2),0,2014-09-20,Trespass Struct/Conveyance,2014-09-20,2014-09-24,,0,,,,,Risk of Recidivism,9,High,2013-03-22,Risk of Violence,9,High,2013-03-22,2014-09-20,2014-09-24,5,154,547,1,1 +3772,daniel duenas,daniel,duenas,2014-02-16,Male,1991-06-21,24,Less than 25,Caucasian,0,5,0,0,3,-1,2014-02-15 07:19:00,2014-03-26 09:44:21,14002168CF10A,2014-02-15,,1,F,Grand Theft in the 3rd Degree,1,14002098MM40A,(M1),59,2014-05-09,Theft/To Deprive,2014-07-07,2014-08-13,,0,,,,,Risk of Recidivism,5,Medium,2014-02-16,Risk of Violence,4,Low,2014-02-16,2014-02-15,2014-03-26,3,38,82,1,1 +3773,henry perez-betancur,henry,perez-betancur,2013-08-23,Male,1992-08-21,23,Less than 25,Hispanic,0,7,0,0,0,-1,2013-08-22 07:07:54,2013-08-23 10:48:29,13016030MM10A,2013-08-22,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-23,Risk of Violence,5,Medium,2013-08-23,2013-08-22,2013-08-23,0,0,952,0,0 +3774,stuart rubin,stuart,rubin,2013-05-31,Male,1954-10-24,61,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-31 03:36:36,2013-05-31 08:16:20,13010483MM10A,2013-05-31,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-31,Risk of Violence,1,Low,2013-05-31,2013-05-31,2013-05-31,0,0,1036,0,0 +3776,lisset llauro,lisset,llauro,2013-09-17,Female,1974-01-13,42,25 - 45,Caucasian,0,1,0,0,0,-1,2013-09-16 06:13:55,2013-09-17 01:54:04,13017639MM10A,2013-09-16,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-17,Risk of Violence,1,Low,2013-09-17,2013-09-16,2013-09-17,0,0,927,0,0 +3778,vincent corallo,vincent,corallo,2013-03-15,Male,1988-03-21,28,25 - 45,Caucasian,0,2,0,0,1,0,2013-03-15 12:12:54,2013-03-15 06:50:00,13005071MM10A,2013-03-14,,1,M,DUI Property Damage/Injury,1,14023774TC10A,(M1),0,2014-06-25,Opert With Susp DL 2nd Offens,2014-06-25,2014-06-25,,0,,,,,Risk of Recidivism,2,Low,2013-03-15,Risk of Violence,3,Low,2013-03-15,2014-06-25,2014-06-25,1,0,467,0,1 +3779,lenworth litherland,lenworth,litherland,2014-03-19,Male,1988-10-26,27,25 - 45,African-American,0,5,0,0,1,-1,2014-03-18 07:44:35,2014-03-20 12:10:34,14003802CF10A,2014-03-18,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-19,Risk of Violence,3,Low,2014-03-19,2014-03-18,2014-03-20,1,1,744,0,0 +3780,joshua doyle,joshua,doyle,2013-03-04,Male,1991-11-01,24,Less than 25,Caucasian,0,3,0,0,2,-18,2013-02-14 08:04:32,2013-03-01 08:19:07,13003251MM10A,2013-02-14,,18,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-04,Risk of Violence,5,Medium,2013-03-04,2013-02-14,2013-03-01,2,0,1124,0,0 +3781,raymond wallace,raymond,wallace,2014-02-07,Male,1982-11-27,33,25 - 45,African-American,0,5,0,0,14,-59,2013-12-10 01:15:13,2013-12-10 01:29:23,13017016CF10A,2013-12-09,,60,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-07,Risk of Violence,2,Low,2014-02-07,2013-12-10,2013-12-10,14,0,784,0,0 +3782,richey dugazon,richey,dugazon,2014-09-09,Male,1983-09-24,32,25 - 45,African-American,0,10,0,0,16,-1,2014-09-08 12:20:24,2014-09-09 10:37:51,14012226CF10A,2014-09-08,,1,F,Driving While License Revoked,1,14013542MM10A,(M1),0,2014-09-10,Resist/Obstruct W/O Violence,2014-09-10,2014-09-10,,0,,,,,Risk of Recidivism,10,High,2014-09-09,Risk of Violence,7,Medium,2014-09-09,2014-09-10,2014-09-10,16,0,1,0,1 +3783,carlos montalvo,carlos,montalvo,2013-11-01,Male,1977-10-12,38,25 - 45,Caucasian,0,1,0,0,0,-7,2013-10-25 02:52:06,2013-11-01 10:33:01,13016097CF10A,2013-10-25,,7,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-01,Risk of Violence,1,Low,2013-11-01,2013-10-25,2013-11-01,0,0,882,0,0 +3785,christian hernandez,christian,hernandez,2013-01-23,Male,1994-08-05,21,Less than 25,Caucasian,0,3,1,1,1,-1,2013-01-22 11:18:53,2013-01-23 07:03:36,13001503MM10A,2013-01-22,,1,M,Unl/Disturb Education/Instui,1,16002824CF10A,(F3),0,2016-03-04,,2016-03-04,2016-03-04,,0,,,,,Risk of Recidivism,3,Low,2013-01-23,Risk of Violence,6,Medium,2013-01-23,2016-03-04,2016-03-04,1,0,1136,0,0 +3787,shalaun dean,shalaun,dean,2013-08-14,Male,1988-09-25,27,25 - 45,African-American,0,7,0,0,1,-1,2013-08-13 01:33:05,2014-01-28 06:28:34,13011362CF10A,2013-08-13,,1,F,Possession Burglary Tools,1,16005604TC40A,(M2),48,2016-01-21,Driving License Suspended,2016-03-09,2016-04-01,,0,,,,,Risk of Recidivism,7,Medium,2013-08-14,Risk of Violence,8,High,2013-08-14,2014-01-28,2015-05-01,1,625,890,1,1 +3788,derec lamons,derec,lamons,2013-08-23,Male,1976-10-15,39,25 - 45,Caucasian,0,4,0,0,0,-1,2013-08-22 12:52:57,2013-08-22 07:49:32,13011815CF10A,2013-08-21,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,1,Low,2013-08-23,2013-08-22,2013-08-22,0,0,952,0,0 +3789,alexander smith,alexander,smith,2013-03-21,Male,1986-09-28,29,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-20 07:49:16,2013-03-21 11:28:05,13004036CF10A,2013-03-20,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,2,Low,2013-03-21,2013-10-10,2013-10-12,0,0,203,0,0 +3790,evan mcgrath,evan,mcgrath,2013-08-19,Male,1986-09-03,29,25 - 45,Caucasian,0,3,0,0,1,-2,2013-08-17 11:18:48,2013-08-18 02:02:42,13011560CF10A,2013-08-17,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-19,Risk of Violence,4,Low,2013-08-19,2013-08-17,2013-08-18,1,0,956,0,0 +3792,dale gross,dale,gross,2013-10-01,Male,1950-12-21,65,Greater than 45,Caucasian,0,4,0,0,6,-61,2013-08-01 09:47:30,2013-09-25 03:19:43,13010776CF10A,,2013-08-27,35,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2015-11-13,2015-12-06,6,0,773,0,0 +3793,stephen laganella,stephen,laganella,2013-09-13,Male,1979-06-21,36,25 - 45,Caucasian,0,4,0,0,1,23,2013-10-06 03:21:54,2013-10-08 11:07:57,13011706CF10A,2013-08-20,,24,F,Possession Of Alprazolam,1,13023538MM10A,(M2),0,2013-12-21,Prowling/Loitering,2013-12-21,2013-12-22,,0,,,,,Risk of Recidivism,4,Low,2013-09-13,Risk of Violence,1,Low,2013-09-13,2013-10-06,2013-10-08,1,0,23,0,1 +3794,berry oliver,berry,oliver,2014-04-30,Male,1970-02-16,46,Greater than 45,African-American,0,7,0,0,0,0,2014-04-30 03:19:34,2014-04-30 08:23:00,14006020CF10A,2014-04-30,,0,F,Pos Cannabis W/Intent Sel/Del,1,15010758CF10A,(F3),0,2015-08-20,Possession of Cocaine,2015-08-20,2015-08-20,,0,,,,,Risk of Recidivism,7,Medium,2014-04-30,Risk of Violence,1,Low,2014-04-30,2015-08-20,2015-08-20,0,0,477,0,1 +3797,robert reed,robert,reed,2013-05-19,Male,1972-02-17,44,25 - 45,African-American,1,6,0,0,7,-1,2013-05-18 04:20:47,2013-06-11 09:20:26,13007108CF10A,2013-05-18,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,1,16000964CF10A,(F3),1,2016-01-22,,2016-01-23,2016-01-23,,0,,,,,Risk of Recidivism,6,Medium,2013-05-19,Risk of Violence,4,Low,2013-05-19,2013-05-18,2013-06-11,7,23,978,1,0 +3799,mckenzie alcime,mckenzie,alcime,2013-01-07,Male,1988-08-23,27,25 - 45,African-American,0,2,0,0,0,-1,2013-01-06 10:11:15,2013-01-08 05:20:20,13000581TC10A,2013-01-06,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-07,Risk of Violence,2,Low,2013-01-07,2013-01-06,2013-01-08,0,1,1180,0,0 +3800,asim hamin,asim,hamin,2013-03-09,Male,1988-10-05,27,25 - 45,African-American,0,7,0,0,8,-1,2013-03-08 01:58:58,2013-04-26 07:01:57,13003448CF10A,2013-03-08,,1,F,Felony Battery (Dom Strang),1,13047821TC10A,(M1),0,2013-12-13,Opert With Susp DL 2nd Offens,2013-12-13,2013-12-18,,1,14003856CF10A,(F3),2014-03-19,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2013-03-09,Risk of Violence,8,High,2013-03-09,2013-12-13,2013-12-18,8,48,279,1,1 +3801,michael szerkins,michael,szerkins,2013-05-13,Male,1954-12-01,61,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-13 03:50:59,2013-05-15 09:15:24,13009243MM10A,2013-05-13,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-13,2013-05-15,0,2,1054,0,0 +3802,garth richards,garth,richards,2014-10-19,Male,1968-10-15,47,Greater than 45,African-American,0,1,0,0,0,-1,2014-10-18 08:48:02,2014-10-19 07:43:24,14015193MM10A,2014-10-18,,1,M,Battery,1,15012296CF10A,(F3),0,2015-09-22,Grand Theft in the 3rd Degree,2015-09-22,2015-09-23,,0,,,,,Risk of Recidivism,1,Low,2014-10-19,Risk of Violence,1,Low,2014-10-19,2015-09-22,2015-09-23,0,0,338,1,1 +3804,ryan wisdom,ryan,wisdom,2013-11-26,Male,1988-07-31,27,25 - 45,African-American,0,1,0,0,1,-1,2013-11-25 12:24:22,2013-11-26 08:18:25,13022177MM10A,2013-11-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,2,Low,2013-11-26,2013-11-25,2013-11-26,1,0,857,0,0 +3805,dustin graham,dustin,graham,2014-10-05,Male,1988-04-03,28,25 - 45,Caucasian,0,2,0,0,0,-1,2014-10-04 09:54:21,2014-10-06 04:36:05,14013386CF10A,2014-10-04,,1,F,Grand Theft in the 3rd Degree,1,16001163CF10A,(F3),101,2015-11-03,Grand Theft in the 3rd Degree,2016-02-12,2016-02-12,,0,,,,,Risk of Recidivism,2,Low,2014-10-05,Risk of Violence,2,Low,2014-10-05,2014-10-04,2014-10-06,0,1,394,1,1 +3807,tiffany dale,tiffany,dale,2014-02-10,Female,1984-09-21,31,25 - 45,Caucasian,0,5,0,0,1,-1,2014-02-09 10:39:21,2014-02-20 03:21:29,14002231MM10A,2014-02-09,,1,M,Battery,1,14001392MM40A,(M2),,2014-03-11,Prostitution/Lewd Act Assignation,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-10,Risk of Violence,4,Low,2014-02-10,2014-02-09,2014-02-20,1,10,29,1,1 +3809,samuel giard,samuel,giard,2014-09-14,Male,1989-05-10,26,25 - 45,Caucasian,0,4,0,0,9,0,2014-09-14 01:12:37,2014-09-15 07:09:10,14062113NI40A,2014-09-14,,0,M,Violation Of Boater Safety Id,1,15010270TC40A,(M2),,2015-02-04,Driving License Suspended,,,,1,15010748MM10A,(M1),2015-08-03,Battery,Risk of Recidivism,4,Low,2014-09-14,Risk of Violence,3,Low,2014-09-14,2014-09-14,2014-09-15,9,1,143,1,1 +3811,frederick lawson,frederick,lawson,2014-08-03,Male,1963-02-11,53,Greater than 45,African-American,0,2,0,0,2,-1,2014-08-02 10:55:38,2014-08-10 04:05:00,14010544CF10A,,2014-08-02,1,F,arrest case no charge,1,14016453CF10A,(F1),,2014-12-11,Poss of Cocaine W/I/D/S 1000FT Park,,,,0,,,,,Risk of Recidivism,2,Low,2014-08-03,Risk of Violence,1,Low,2014-08-03,2014-08-02,2014-08-10,2,7,130,1,1 +3812,alexander sutton,alexander,sutton,2013-01-11,Male,1990-02-27,26,25 - 45,African-American,0,5,0,0,1,-1,2013-01-10 10:33:34,2013-02-02 08:36:46,12017847CF10A,,2013-01-10,1,F,arrest case no charge,1,13034964TC10A,(M2),,2013-08-24,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-11,Risk of Violence,5,Medium,2013-01-11,2013-01-10,2013-02-02,1,22,225,1,1 +3814,eddie johnson,eddie,johnson,2013-04-03,Male,1990-10-11,25,25 - 45,African-American,0,4,0,0,2,-23,2013-03-11 01:09:41,2013-03-29 10:21:52,11000274CF10A,,2013-03-11,23,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-03,Risk of Violence,4,Low,2013-04-03,2014-05-13,2015-01-15,2,0,405,0,0 +3816,adeler filossaint,adeler,filossaint,2013-02-11,Male,1992-11-18,23,Less than 25,Other,0,10,0,0,5,-1,2013-02-10 06:01:35,2013-03-14 09:11:16,13002930MM10A,2013-02-10,,1,M,Resist/Obstruct W/O Violence,1,14000890MM10A,(M1),0,2014-01-17,Battery,2014-01-17,2014-03-01,,1,14000890MM10A,(M1),2014-01-17,Battery,Risk of Recidivism,10,High,2013-02-11,Risk of Violence,9,High,2013-02-11,2014-01-17,2014-03-01,5,31,340,1,1 +3817,ashley peterson,ashley,peterson,2013-12-22,Female,1994-07-15,21,Less than 25,African-American,0,8,3,1,4,-1,2013-12-21 08:27:11,2013-12-22 01:41:23,12001226MM30A,,2012-09-15,463,M,arrest case no charge,1,15037250TC30A,(M2),94,2015-05-11,Driving License Suspended,2015-08-13,2015-08-22,,0,,,,,Risk of Recidivism,8,High,2013-12-22,Risk of Violence,8,High,2013-12-22,2015-04-25,2015-04-26,4,0,489,0,1 +3818,ike black,ike,black,2013-02-07,Male,1992-08-21,23,Less than 25,African-American,0,4,0,0,1,0,2013-02-07 12:42:48,2013-02-10 04:25:55,13005772TC10A,2013-02-06,,1,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-07,Risk of Violence,6,Medium,2013-02-07,2013-02-07,2013-02-10,1,3,1149,0,0 +3820,david pennant,david,pennant,2013-03-24,Male,1986-03-19,30,25 - 45,Other,0,1,1,1,3,-1,2013-03-23 08:35:07,2013-03-24 07:23:39,13005730MM10A,2013-03-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-24,Risk of Violence,1,Low,2013-03-24,2013-03-23,2013-03-24,3,0,1104,0,0 +3821,tangela jones,tangela,jones,2013-05-03,Female,1970-09-05,45,Greater than 45,African-American,0,3,0,0,2,-1,2013-05-02 07:08:13,2013-05-14 06:04:00,13006300CF10A,2013-05-02,,1,F,False Motor Veh Insurance Card,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2014-09-24,2014-09-30,2,11,509,0,0 +3824,termell prigeon,termell,prigeon,2013-09-12,Male,1988-08-03,27,25 - 45,African-American,0,5,0,0,2,-1,2013-09-11 03:42:49,2013-09-20 09:01:19,13017328MM10A,2013-09-11,,1,M,Battery,1,14100546TC30A,(M2),,2014-12-04,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-12,Risk of Violence,4,Low,2013-09-12,2013-09-11,2013-09-20,2,8,448,1,1 +3826,jeffrey bailey,jeffrey,bailey,2013-03-12,Male,1959-02-13,57,Greater than 45,African-American,0,9,0,0,6,370,2014-03-17 12:46:37,2014-06-02 05:05:06,12152033TC30A,2012-10-31,,132,M,Opert With Susp DL 2nd Offens,1,14076038TC30A,(M2),394,2014-09-09,Unlaw LicTag/Sticker Attach,2015-10-08,2015-10-09,,0,,,,,Risk of Recidivism,9,High,2013-03-12,Risk of Violence,5,Medium,2013-03-12,2014-03-17,2014-06-02,6,0,370,0,1 +3828,alfred hampton,alfred,hampton,2013-01-24,Male,1971-11-30,44,25 - 45,Caucasian,0,6,0,0,8,231,2013-09-12 02:27:04,2013-09-14 03:06:26,09018346CF10A,,2010-12-04,782,F,arrest case no charge,1,13012908CF10A,(F3),0,2013-09-12,Grand Theft in the 3rd Degree,2013-09-12,2013-09-14,,0,,,,,Risk of Recidivism,6,Medium,2013-01-24,Risk of Violence,5,Medium,2013-01-24,2013-09-12,2013-09-14,8,0,231,1,1 +3830,natasha daniels,natasha,daniels,2013-12-08,Female,1989-07-07,26,25 - 45,African-American,0,2,0,0,0,-1,2013-12-07 10:51:37,2013-12-08 03:56:34,13022666MM10A,2013-12-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-08,Risk of Violence,2,Low,2013-12-08,2013-12-07,2013-12-08,0,0,845,0,0 +3831,kameron koepke,kameron,koepke,2013-03-22,Male,1994-10-27,21,Less than 25,Caucasian,0,8,0,0,0,-1,2013-03-21 03:09:22,2013-03-28 07:17:08,13004094CF10A,,2013-03-21,1,F,arrest case no charge,1,14003224CF10A,(F3),118,2014-01-01,Felony Batt(Great Bodily Harm),2014-04-29,2014-07-24,,1,14003224CF10A,(F3),2014-01-01,Felony Batt(Great Bodily Harm),Risk of Recidivism,8,High,2013-03-22,Risk of Violence,7,Medium,2013-03-22,2013-03-21,2013-03-28,0,6,285,1,1 +3834,miguel ocasio,miguel,ocasio,2013-06-13,Male,1952-08-16,63,Greater than 45,African-American,0,6,0,0,1,,,,12009681CF10A,2012-07-01,,347,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-13,Risk of Violence,2,Low,2013-06-13,,,1,0,1023,0,0 +3835,mary watson,mary,watson,2013-09-20,Female,1953-07-28,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-19 11:42:41,2013-09-23 09:16:00,13042937TC10A,2013-09-19,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-09-19,2013-09-23,0,3,924,0,0 +3836,stephen parsons,stephen,parsons,2013-12-16,Male,1968-01-21,48,Greater than 45,Caucasian,0,3,0,0,0,-1,2013-12-15 03:12:29,2014-01-11 05:31:30,13017331CF10A,2013-12-15,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-16,Risk of Violence,2,Low,2013-12-16,2013-12-15,2014-01-11,0,26,837,0,0 +3838,clearence jenkins,clearence,jenkins,2013-03-20,Male,1963-03-17,53,Greater than 45,African-American,0,1,0,0,1,-1,2013-03-19 09:19:48,2013-03-20 07:46:30,12026002MM10A,2012-12-20,,90,M,DWLS Susp/Cancel Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-19,2013-03-20,1,0,1108,0,0 +3839,allen smiley,allen,smiley,2013-12-30,Male,1954-03-09,62,Greater than 45,African-American,0,3,0,0,3,-1,2013-12-29 08:33:04,2013-12-31 03:54:08,13023945MM10A,2013-12-29,,1,M,DUI Property Damage/Injury,1,15002708MM10A,(M1),0,2015-03-07,Violation of Injunction Order/Stalking/Cyberstalking,2015-03-07,2015-05-04,,0,,,,,Risk of Recidivism,3,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2015-03-07,2015-05-04,3,1,432,1,1 +3840,kenneth sewell,kenneth,sewell,2013-01-06,Male,1987-12-21,28,25 - 45,African-American,1,10,1,0,5,-1,2013-01-05 09:01:27,2013-05-22 06:02:36,13000201CF10A,2013-01-05,,1,F,Aggrav Stalking After Injunctn,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-06,Risk of Violence,10,High,2013-01-06,2013-01-05,2013-05-22,5,136,1181,0,0 +3841,michael digiulio,michael,digiulio,2013-11-03,Male,1960-01-29,56,Greater than 45,Caucasian,0,2,0,0,1,0,2013-11-03 04:56:58,2013-11-04 08:10:50,13015318CF10A,2013-11-03,,0,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-03,2013-11-04,1,1,880,0,0 +3842,emilio colon,emilio,colon,2013-12-13,Male,1981-03-18,35,25 - 45,Hispanic,0,1,0,0,2,-8,2013-12-05 08:08:18,2013-12-13 11:03:04,13016991CF10A,,2013-12-05,8,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-13,Risk of Violence,1,Low,2013-12-13,2013-12-05,2013-12-13,2,0,840,0,0 +3843,marlene scollon,marlene,scollon,2014-06-04,Female,1960-03-03,56,Greater than 45,Hispanic,0,1,0,0,2,-1,2014-06-03 02:18:40,2014-07-22 05:59:00,14008851MM10A,2014-06-03,,1,M,Viol Injunction Protect Dom Vi,1,14079316TC30A,(M2),,2014-09-15,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2014-06-04,Risk of Violence,1,Low,2014-06-04,2014-06-03,2014-07-22,2,48,103,1,1 +3847,jalen barros,jalen,barros,2013-03-01,Male,1993-04-27,22,Less than 25,African-American,1,7,0,0,2,-1,2013-02-28 10:55:45,2013-03-02 03:35:00,13003058CF10A,2013-02-28,,1,F,Uttering a Forged Instrument,1,13004768MM10A,(M1),0,2013-03-09,Possess Cannabis/20 Grams Or Less,2013-03-09,2013-03-12,,0,,,,,Risk of Recidivism,7,Medium,2013-03-01,Risk of Violence,8,High,2013-03-01,2013-03-09,2013-03-12,2,1,8,1,1 +3848,brandon williams,brandon,williams,2013-03-28,Male,1990-04-06,26,25 - 45,African-American,0,8,0,0,5,-1,2013-03-27 04:00:34,2013-05-02 09:54:38,13004409CF10A,2013-03-27,,1,F,Aggrav Child Abuse-Agg Battery,1,13043836TC10A,(M2),15,2013-09-09,Susp Drivers Lic 1st Offense,2013-09-24,2013-12-12,,0,,,,,Risk of Recidivism,8,High,2013-03-28,Risk of Violence,9,High,2013-03-28,2013-03-27,2013-05-02,5,35,165,1,1 +3853,jerry grant,jerry,grant,2013-05-09,Male,1981-02-03,35,25 - 45,African-American,0,5,0,0,4,0,2013-05-09 02:12:42,2013-05-10 12:01:27,12058957TC10A,2012-12-01,,159,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-09,Risk of Violence,6,Medium,2013-05-09,2014-08-30,2014-09-09,4,1,478,0,0 +3854,joshua lewis,joshua,lewis,2013-01-17,Male,1993-09-09,22,Less than 25,African-American,0,3,0,0,1,-1,2013-01-16 09:15:57,2013-01-31 09:56:20,13000766CF10A,2013-01-16,,1,F,Grand Theft in the 3rd Degree,1,14016831MM10A,(M1),0,2014-11-26,Possess Cannabis/20 Grams Or Less,2014-11-26,2015-01-22,,0,,,,,Risk of Recidivism,3,Low,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2014-11-26,2015-01-22,1,14,678,1,1 +3855,edward schuster,edward,schuster,2013-03-27,Male,1955-06-29,60,Greater than 45,Caucasian,0,1,0,0,3,,,,13000497TC10A,2012-12-15,,102,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-27,Risk of Violence,1,Low,2013-03-27,,,3,0,1101,0,0 +3856,sarrah pierre,sarrah,pierre,2013-04-17,Female,1979-03-13,37,25 - 45,African-American,1,3,0,0,7,-1,2013-04-16 07:54:08,2013-04-18 05:56:28,13005446CF10A,2013-04-16,,1,F,Deliver Cocaine 1000FT Store,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2013-04-16,2013-04-18,7,1,1080,0,0 +3857,tanesha mcintyre,tanesha,mcintyre,2013-08-27,Female,1984-02-10,32,25 - 45,African-American,0,2,0,0,0,0,2013-08-27 05:00:17,2013-08-27 06:54:07,13012108CF10A,2013-08-26,,1,F,Uttering Forged Bills,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-27,2013-08-27,0,0,948,0,0 +3858,quanneshia cummings,quanneshia,cummings,2014-10-26,Female,1982-12-25,33,25 - 45,African-American,0,6,0,0,3,-1,2014-10-25 06:21:38,2014-11-03 11:00:22,14014401CF10A,2014-10-25,,1,F,Aggravated Assault W/Dead Weap,1,15035655TC40A,(M2),,2015-06-09,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,6,Medium,2014-10-26,Risk of Violence,4,Low,2014-10-26,2014-10-25,2014-11-03,3,8,226,1,1 +3859,baldeo peararay,baldeo,peararay,2014-01-28,Male,1977-07-13,38,25 - 45,Other,0,3,0,0,2,0,2014-01-28 02:58:04,2014-01-28 08:22:27,14001247CF10A,2014-01-28,,0,F,Felony Driving While Lic Suspd,1,14001987CF10A,(F3),0,2014-02-12,Possession of Cocaine,2014-02-12,2014-04-10,,0,,,,,Risk of Recidivism,3,Low,2014-01-28,Risk of Violence,3,Low,2014-01-28,2014-02-12,2014-04-10,2,0,15,1,1 +3860,john vansteenkiste,john,vansteenkiste,2013-01-13,Male,1962-08-11,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-12 11:41:12,2013-01-13 12:56:59,13000762MM10A,2013-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0 +3862,brandon emmert,brandon,emmert,2014-01-10,Male,1983-10-11,32,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-09 09:03:15,2014-01-10 01:14:04,14000417MM10A,2014-01-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-10,Risk of Violence,1,Low,2014-01-10,2014-01-09,2014-01-10,0,0,812,0,0 +3863,jules canuet,jules,canuet,2013-01-02,Male,1989-10-17,26,25 - 45,Caucasian,0,2,0,0,0,-1,2013-01-01 05:21:55,2013-01-02 01:16:14,13000035MM10A,2013-01-01,,1,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-02,Risk of Violence,3,Low,2013-01-02,2013-01-01,2013-01-02,0,0,1185,0,0 +3864,randy munoz,randy,munoz,2014-03-31,Male,1955-03-29,61,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-30 03:50:52,2014-04-01 04:11:15,14012364MU10A,2014-03-30,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-30,2014-04-01,0,1,732,0,0 +3865,dave pascal,dave,pascal,2014-02-17,Male,1995-03-21,21,Less than 25,African-American,0,10,0,0,0,-1,2014-02-16 03:54:36,2014-02-17 01:12:04,14002687MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-02-17,Risk of Violence,7,Medium,2014-02-17,2014-02-16,2014-02-17,0,0,774,0,0 +3867,perry mcqueen,perry,mcqueen,2014-02-06,Male,1947-03-26,69,Greater than 45,African-American,0,5,0,0,22,-1,2014-02-05 05:31:46,2014-02-06 09:10:18,14002029MM10A,2014-02-05,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-06,Risk of Violence,4,Low,2014-02-06,2014-02-05,2014-02-06,22,0,785,0,0 +3869,jovelton joseph,jovelton,joseph,2013-09-23,Male,1989-10-19,26,25 - 45,African-American,0,4,0,0,0,0,2013-09-23 06:12:00,2013-09-23 08:25:00,13018163MM10A,2013-09-23,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,4,Low,2013-09-23,2013-09-23,2013-09-23,0,0,921,0,0 +3870,glenn shelton,glenn,shelton,2014-11-05,Male,1985-12-17,30,25 - 45,African-American,0,10,0,0,9,-1,2014-11-04 08:54:31,2015-05-19 11:36:21,14015489CF10A,2014-11-05,,0,F,Poss of Firearm by Convic Felo,1,15012961CF10A,(F3),,2015-10-07,Threat Public Servant,,,,1,15012961CF10A,(F3),2015-10-07,Threat Public Servant,Risk of Recidivism,10,High,2014-11-05,Risk of Violence,7,Medium,2014-11-05,2015-08-26,2015-08-29,9,195,294,0,1 +3872,christopher akel,christopher,akel,2014-02-25,Male,1994-05-24,21,Less than 25,Caucasian,0,4,0,0,1,-5,2014-02-20 10:39:19,2014-02-21 08:22:00,13007144CF10A,,2014-02-20,5,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-25,Risk of Violence,5,Medium,2014-02-25,2015-03-09,2015-03-16,1,0,377,0,0 +3879,joseph sessa,joseph,sessa,2014-01-08,Male,1975-01-18,41,25 - 45,Caucasian,0,2,0,0,0,0,2014-01-08 01:08:31,2014-01-08 09:45:35,14001011MU10A,2014-01-07,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,1,Low,2014-01-08,2014-01-08,2014-01-08,0,0,814,0,0 +3880,enrico cockroft,enrico,cockroft,2013-03-30,Male,1970-07-23,45,Greater than 45,African-American,0,6,0,0,0,-1,2013-03-29 11:09:04,2013-03-30 08:27:31,13004529CF10A,2013-03-29,,1,F,Driving While License Revoked,1,13011122MM10A,(M1),,2013-04-16,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-30,Risk of Violence,3,Low,2013-03-30,2013-03-29,2013-03-30,0,0,17,1,1 +3881,alan mullins,alan,mullins,2013-01-19,Male,1984-08-23,31,25 - 45,African-American,0,5,1,3,10,-1,2013-01-18 08:05:34,2013-01-19 09:26:10,13000880CF10A,2013-01-18,,1,F,Driving While License Revoked,1,13040906TC10A,(M2),,2013-10-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-19,Risk of Violence,3,Low,2013-01-19,2013-01-18,2013-01-19,10,0,258,1,1 +3882,joseph kimball,joseph,kimball,2013-09-18,Male,1993-09-27,22,Less than 25,Caucasian,0,3,0,0,0,-2,2013-09-16 07:14:35,2013-09-17 07:20:32,13013075CF10A,2013-09-16,,2,F,Aggravated Battery On 65/Older,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-18,Risk of Violence,5,Medium,2013-09-18,2013-09-16,2013-09-17,0,0,926,0,0 +3884,todd livingston,todd,livingston,2013-09-06,Female,1961-05-18,54,Greater than 45,Caucasian,0,3,0,0,0,0,2013-09-06 02:07:01,2013-09-26 10:18:23,13012610CF10A,2013-09-05,,1,F,Agg Battery Grt/Bod/Harm,1,14048970TC20A,(M2),,2014-07-01,Driving License Suspended,,,,1,14017830MM10A,(M1),2014-12-18,Battery,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-06,2013-09-26,0,20,298,1,1 +3885,richard espinoza,richard,espinoza,2014-09-15,Male,1965-10-19,50,Greater than 45,Caucasian,0,1,0,0,2,-1,2014-09-14 06:27:22,2014-09-15 01:04:02,14013688MM10A,2014-09-14,,1,M,Battery,1,15012781MM10A,(M1),0,2015-12-10,Battery,2015-12-10,2015-12-11,,1,15012781MM10A,(M1),2015-12-10,Battery,Risk of Recidivism,1,Low,2014-09-15,Risk of Violence,1,Low,2014-09-15,2015-12-10,2015-12-11,2,0,451,1,1 +3888,linda jackson,linda,jackson,2013-01-25,Female,1965-08-30,50,Greater than 45,African-American,0,2,0,0,5,,,,08020765CF10A,,2012-07-27,182,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-25,Risk of Violence,1,Low,2013-01-25,,,5,0,1162,0,0 +3890,orville forrest,orville,forrest,2013-10-22,Male,1978-08-21,37,25 - 45,Other,2,3,0,0,11,-1,2013-10-21 09:53:38,2013-10-22 11:18:14,13014700CF10A,2013-10-21,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-10-22,11,0,892,0,0 +3891,sheila holston,sheila,holston,2013-03-07,Female,1994-05-07,21,Less than 25,African-American,0,8,0,0,0,-1,2013-03-06 07:04:42,2013-03-07 10:52:53,13003366CF10A,2013-03-06,,1,F,Deliver Cocaine,1,13069708TC20A,(M2),,2013-11-06,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-03-07,Risk of Violence,7,Medium,2013-03-07,2014-02-16,2014-02-17,0,0,244,1,1 +3896,alexander angelet,alexander,angelet,2013-11-04,Male,1992-06-01,23,Less than 25,Hispanic,0,7,0,0,6,-1,2013-11-03 02:17:53,2013-11-08 04:57:59,13020721MM10A,2013-11-03,,1,M,Viol Injunct Domestic Violence,1,15010118MU10A,(M2),0,2015-03-28,Susp Drivers Lic 1st Offense,2015-03-28,2015-03-28,,0,,,,,Risk of Recidivism,7,Medium,2013-11-04,Risk of Violence,7,Medium,2013-11-04,2015-03-28,2015-03-28,6,4,509,0,1 +3897,ezequiel espinal,ezequiel,espinal,2014-05-09,Male,1985-08-26,30,25 - 45,Caucasian,0,3,0,0,0,-1,2014-05-08 11:55:10,2014-05-09 07:58:38,14006448CF10A,2014-05-08,,1,F,False Imprisonment,1,15002154MM10A,(M1),,2015-02-21,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2014-05-09,Risk of Violence,3,Low,2014-05-09,2014-05-08,2014-05-09,0,0,288,1,1 +3898,robert smitley,robert,smitley,2013-06-04,Male,1963-03-09,53,Greater than 45,Caucasian,0,1,0,0,2,-32,2013-05-03 04:03:18,2013-05-20 10:27:12,13006363CF10A,2013-05-03,,32,F,Possess/Use Weapon 1 Deg Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-04,Risk of Violence,1,Low,2013-06-04,2014-06-24,2014-06-26,2,0,385,0,0 +3899,erwin williams,erwin,williams,2013-04-03,Male,1986-03-30,30,25 - 45,African-American,0,8,0,0,11,-1,2013-04-02 12:56:55,2013-04-05 04:36:29,13002220CF10A,,2013-04-02,1,F,arrest case no charge,1,13012841MM10A,(M1),0,2013-07-06,Resist/Obstruct W/O Violence,2013-07-06,2013-07-07,,0,,,,,Risk of Recidivism,8,High,2013-04-03,Risk of Violence,4,Low,2013-04-03,2013-07-06,2013-07-07,11,2,94,1,1 +3902,george esteves,george,esteves,2014-01-02,Male,1989-09-28,26,25 - 45,Caucasian,0,4,0,0,5,0,2014-01-02 05:35:15,2014-01-02 08:43:04,14000274MU10A,2014-01-02,,0,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-02,Risk of Violence,4,Low,2014-01-02,2014-01-30,2014-01-31,5,0,28,0,0 +3903,anderia gillis,anderia,gillis,2013-12-18,Female,1985-09-03,30,25 - 45,African-American,0,9,0,0,1,-62,2013-10-17 06:32:20,2013-10-25 10:48:44,13014543CF10A,,2013-10-17,62,F,arrest case no charge,1,15016086CF10A,(F3),,2015-12-16,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,9,High,2013-12-18,Risk of Violence,3,Low,2013-12-18,2013-10-17,2013-10-25,1,0,728,1,1 +3904,linda hadley,linda,hadley,2013-02-04,Female,1957-02-02,59,Greater than 45,African-American,0,2,0,0,0,-1,2013-02-03 08:59:23,2013-02-04 08:01:44,13002444MM10A,2013-02-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-03,2013-02-04,0,0,1152,0,0 +3906,william barr,william,barr,2013-05-08,Male,1986-12-01,29,25 - 45,African-American,0,8,0,0,13,-1,2013-05-07 07:56:34,2013-05-08 11:30:35,13006526CF10A,2013-05-07,,1,F,Driving While License Revoked,1,14003871CF10A,(M2),0,2014-03-19,Transport Prostitution,2014-03-19,2014-03-20,,0,,,,,Risk of Recidivism,8,High,2013-05-08,Risk of Violence,3,Low,2013-05-08,2013-10-03,2013-10-09,13,0,148,0,1 +3907,nelson valle,nelson,valle,2013-02-25,Male,1949-04-13,67,Greater than 45,Hispanic,0,1,0,0,0,-3,2013-02-22 12:31:22,2013-02-23 04:33:50,13002677CF10A,2013-02-21,,4,F,Solicitation On Felony 3 Deg,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-02-22,2013-02-23,0,0,1131,0,0 +3909,wayne griffies,wayne,griffies,2014-12-26,Male,1985-10-17,30,25 - 45,Caucasian,0,8,0,0,13,-2,2014-12-24 05:35:51,2015-01-26 09:27:29,14017003CF10A,2014-12-24,,2,F,Poss Pyrrolidinovalerophenone,1,15004464MM10A,(M1),0,2015-04-19,Unlaw Use False Name/Identity,2015-04-19,2015-05-07,,0,,,,,Risk of Recidivism,8,High,2014-12-26,Risk of Violence,2,Low,2014-12-26,2015-02-27,2015-03-04,13,31,63,0,1 +3910,kenitra dukes,kenitra,dukes,2014-07-05,Male,1991-01-12,25,25 - 45,African-American,0,5,0,0,5,-1,2014-07-04 10:56:44,2014-07-05 08:53:46,14010291MM10A,2014-07-04,,1,M,Battery,1,15035733TC40A,(M2),,2015-06-03,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2014-07-05,Risk of Violence,4,Low,2014-07-05,2015-03-27,2015-04-12,5,0,265,0,1 +3911,rafael lopez,rafael,lopez,2013-09-23,Male,1971-03-27,45,Greater than 45,Hispanic,0,6,0,0,8,-1,2013-09-22 06:06:07,2013-09-23 08:07:27,13013341CF10A,2013-09-22,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-23,Risk of Violence,3,Low,2013-09-23,2015-03-26,2015-05-11,8,0,549,0,0 +3912,thomas rousseau,thomas,rousseau,2013-01-14,Male,1981-02-11,35,25 - 45,Caucasian,0,2,0,0,4,,,,12043635TC10A,2012-07-31,,167,M,Fail Obey Driv Lic Restrictions,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,4,Low,2013-01-14,,,4,0,1173,0,0 +3917,desmond elliott,desmond,elliott,2013-01-15,Male,1993-08-07,22,Less than 25,African-American,0,3,0,1,0,0,2013-01-15 12:31:43,2013-01-15 01:17:47,13000631CF10A,2013-01-14,,1,F,Carjacking w/o Deadly Weapon,1,15013928CF10A,(F3),,2015-10-25,Possession of Cannabis,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-15,Risk of Violence,6,Medium,2013-01-15,2015-01-19,2015-07-30,0,0,734,0,0 +3918,robert echols,robert,echols,2014-09-09,Male,1974-07-19,41,25 - 45,African-American,0,1,0,0,8,0,2014-09-09 02:54:08,2014-09-11 03:45:02,14012269CF10A,2014-09-09,,0,F,Driving While License Revoked,1,14045605TC10A,(M2),0,2014-12-08,Oper Motorcycle W/O Valid DL,2014-12-08,2014-12-08,,0,,,,,Risk of Recidivism,1,Low,2014-09-09,Risk of Violence,1,Low,2014-09-09,2014-10-17,2014-10-31,8,2,38,0,1 +3919,trung phan,trung,phan,2013-03-16,Male,1969-05-05,46,Greater than 45,Asian,0,5,0,0,3,-1,2013-03-15 11:30:31,2013-05-14 06:34:35,13003818CF10A,2013-03-15,,1,F,Possession of Cocaine,1,13019079MM10A,(M2),,2013-10-07,Petit Theft,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-16,Risk of Violence,2,Low,2013-03-16,2013-03-15,2013-05-14,3,59,205,1,1 +3920,ovento saintval,ovento,saintval,2013-04-30,Male,1989-03-03,27,25 - 45,Other,0,5,0,0,0,-1,2013-04-29 03:55:56,2013-05-01 03:19:29,13008305MM10A,2013-04-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-30,Risk of Violence,3,Low,2013-04-30,2013-04-29,2013-05-01,0,1,1067,0,0 +3924,theona alleyne,theona,alleyne,2013-01-03,Female,1979-01-12,37,25 - 45,African-American,0,6,0,0,13,-1,2013-01-02 10:03:55,2013-01-04 01:05:33,13000091CF10A,2013-01-02,,1,F,Felony Driving While Lic Suspd,1,15007257CF10A,(F3),0,2015-06-03,Grand Theft in the 3rd Degree,2015-06-03,2015-06-04,,0,,,,,Risk of Recidivism,6,Medium,2013-01-03,Risk of Violence,3,Low,2013-01-03,2015-06-03,2015-06-04,13,1,881,1,0 +3925,robert wade,robert,wade,2014-03-13,Male,1993-12-20,22,Less than 25,African-American,0,3,0,2,0,-1,2014-03-12 07:21:25,2014-03-25 08:48:22,14003512CF10A,2014-03-12,,1,F,Burglary Conveyance Unoccup,1,15000284MM10A,(M2),0,2015-01-08,Prowling/Loitering,2015-01-08,2015-09-17,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,5,Medium,2014-03-13,2015-01-08,2015-09-17,0,12,301,1,1 +3929,trevon kassie,trevon,kassie,2014-10-16,Male,1996-07-20,19,Less than 25,African-American,0,4,0,0,0,-1,2014-10-15 04:28:24,2014-10-16 02:15:43,14013925CF10A,2014-10-15,,1,F,Pos Cannabis W/Intent Sel/Del,1,16001107CF10A,(F3),0,2016-01-26,,2016-01-26,2016-01-27,,0,,,,,Risk of Recidivism,4,Low,2014-10-16,Risk of Violence,6,Medium,2014-10-16,2015-10-24,2015-10-26,0,0,373,0,1 +3930,roberto serrano,roberto,serrano,2013-02-23,Male,1970-06-14,45,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-02-22 12:35:53,2013-02-23 08:32:59,11008987MM10A,,2013-02-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-23,2,0,1133,0,0 +3933,renae keyes,renae,keyes,2014-07-21,Female,1982-12-26,33,25 - 45,African-American,0,9,0,0,5,-1,2014-07-20 06:23:49,2014-07-21 06:12:57,14009912CF10A,2014-07-20,,1,F,Possession of Cocaine,1,14010336CF10A,(M2),0,2014-07-29,Prostitution/Lewd Act Assignation,2014-07-29,2014-09-05,,0,,,,,Risk of Recidivism,9,High,2014-07-21,Risk of Violence,3,Low,2014-07-21,2014-07-29,2014-09-05,5,0,8,1,1 +3934,christopher johnston,christopher,johnston,2013-01-27,Male,1964-03-02,52,Greater than 45,African-American,0,5,0,0,7,-1,2013-01-26 11:27:48,2013-07-27 05:42:20,13001272CF10A,2013-01-26,,1,F,Felony Petit Theft,1,15009989CF10A,(M1),1,2015-08-02,Trespass Other Struct/Conve,2015-08-03,2015-09-04,,0,,,,,Risk of Recidivism,5,Medium,2013-01-27,Risk of Violence,1,Low,2013-01-27,2014-03-09,2014-03-11,7,181,406,0,0 +3935,alexandria smith,alexandria,smith,2013-08-25,Female,1995-04-07,21,Less than 25,African-American,0,6,0,0,0,-1,2013-08-24 08:03:44,2013-08-25 08:34:40,13011944CF10A,2013-08-24,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-25,Risk of Violence,8,High,2013-08-25,2013-08-24,2013-08-25,0,0,950,0,0 +3936,calvin stephens,calvin,stephens,2014-08-06,Male,1972-07-13,43,25 - 45,African-American,0,10,0,0,6,0,2014-08-06 10:44:23,2014-08-07 08:20:06,14000458MO40A,,2014-05-17,81,M,arrest case no charge,1,15003543MO40A,(MO3),8,2015-08-31,Carry Open/Uncov Bev In Pub,2015-09-08,2015-09-09,,0,,,,,Risk of Recidivism,10,High,2014-08-06,Risk of Violence,5,Medium,2014-08-06,2014-08-06,2014-08-07,6,1,390,1,1 +3938,marcus tanner,marcus,tanner,2013-01-25,Male,1982-11-05,33,25 - 45,Caucasian,0,6,0,0,3,-1,2013-01-24 03:35:01,2013-01-25 08:05:03,13000805CF10A,,2013-01-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-25,Risk of Violence,6,Medium,2013-01-25,2013-01-24,2013-01-25,3,0,1162,0,0 +3939,jamar terry,jamar,terry,2013-04-25,Male,1989-08-30,26,25 - 45,African-American,1,10,0,0,3,-1,2013-04-24 07:41:36,2013-04-28 04:07:36,13006853CF10A,2013-04-24,,1,F,Felony Battery w/Prior Convict,1,14000865MM30A,(M1),74,2014-05-16,Possess Cannabis/20 Grams Or Less,2014-07-29,2014-07-30,,1,14017051CF10A,(F3),2014-12-26,Child Abuse,Risk of Recidivism,10,High,2013-04-25,Risk of Violence,9,High,2013-04-25,2013-04-24,2013-04-28,3,3,386,1,1 +3941,daniel asdot,daniel,asdot,2014-01-06,Male,1978-12-28,37,25 - 45,Caucasian,0,3,0,0,0,-1,2014-01-05 06:54:49,2014-01-07 03:15:44,14000193MM10A,2014-01-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-05,2014-01-07,0,1,816,0,0 +3942,john nicolas,john,nicolas,2014-01-02,Male,1977-10-24,38,25 - 45,African-American,0,1,0,0,1,-8,2013-12-25 06:08:28,2014-01-02 01:37:41,13017779CF10A,2013-12-25,,8,F,Resist Officer w/Violence,1,15008361CF10A,(F3),,2015-06-29,Fraud Obtain Driver License,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2013-12-25,2014-01-02,1,0,543,1,1 +3944,emmanuel pereyra,emmanuel,pereyra,2014-09-14,Male,1981-02-06,35,25 - 45,Hispanic,0,1,0,0,1,-1,2014-09-13 09:24:44,2014-09-14 01:19:10,14013655MM10A,2014-09-13,,1,M,Battery,1,15044138TC40A,(M2),,2015-07-18,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-09-14,Risk of Violence,1,Low,2014-09-14,2014-09-13,2014-09-14,1,0,307,1,1 +3946,jeff aurelus,jeff,aurelus,2014-03-17,Male,1988-12-27,27,25 - 45,African-American,0,2,0,0,1,-1,2014-03-16 02:12:11,2014-03-17 01:28:54,14003712CF10A,2014-03-16,,1,F,Felony Driving While Lic Suspd,1,14044450TC20A,(M2),,2014-06-21,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-17,Risk of Violence,2,Low,2014-03-17,2014-03-16,2014-03-17,1,0,96,1,1 +3947,shoaib khan,shoaib,khan,2013-09-30,Male,1975-08-13,40,25 - 45,Other,0,1,0,0,1,0,2013-09-30 02:19:47,2013-10-01 02:06:16,13013707CF10A,2013-09-30,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-30,2013-10-01,1,1,914,0,0 +3948,courtney patterson,courtney,patterson,2013-03-21,Male,1995-03-22,21,Less than 25,African-American,1,5,0,0,1,-2,2013-03-19 11:59:13,2013-03-20 09:11:13,13003020CF10A,,2013-03-19,2,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-21,Risk of Violence,7,Medium,2013-03-21,2013-03-19,2013-03-20,1,0,1107,0,0 +3950,louie dehart,louie,dehart,2013-12-18,Male,1977-10-20,38,25 - 45,Caucasian,0,9,0,0,3,-1,2013-12-17 11:54:33,2013-12-19 08:38:19,13017422CF10A,2013-12-17,,1,F,Possession of Cocaine,1,14005374MM10A,(M1),0,2014-02-25,Extradition/Defendants,2014-02-25,2014-05-18,,0,,,,,Risk of Recidivism,9,High,2013-12-18,Risk of Violence,6,Medium,2013-12-18,2014-02-25,2014-05-18,3,1,69,1,1 +3952,michael gardner,michael,gardner,2013-01-28,Male,1979-04-02,37,25 - 45,Caucasian,0,4,0,0,0,-1,2013-01-27 11:03:53,2013-01-28 08:38:10,13001925MM10A,2013-01-27,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-28,0,0,1159,0,0 +3957,eyxnor jaramillo,eyxnor,jaramillo,2014-01-07,Male,1991-11-18,24,Less than 25,Hispanic,0,2,0,0,1,-78,2013-10-21 04:29:01,2013-10-22 05:13:16,13014721CF10A,2013-10-21,,78,M,Contribute Delinquency Of A Minor,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-07,Risk of Violence,4,Low,2014-01-07,2013-10-21,2013-10-22,1,0,815,0,0 +3958,giuseppe montalbano,giuseppe,montalbano,2013-12-25,Male,1971-04-26,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-24 05:58:16,2013-12-25 08:38:42,13017737CF10A,2013-12-24,,1,F,Use of Anti-Shoplifting Device,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-25,Risk of Violence,1,Low,2013-12-25,2013-12-24,2013-12-25,0,0,828,0,0 +3960,christopher kearney,christopher,kearney,2013-10-24,Male,1985-06-19,30,25 - 45,African-American,0,2,0,0,0,-1,2013-10-23 09:15:21,2013-10-24 09:33:45,13014815CF10A,2013-10-23,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-24,Risk of Violence,2,Low,2013-10-24,2013-10-23,2013-10-24,0,0,890,0,0 +3961,victor quinones,victor,quinones,2013-10-28,Male,1975-09-30,40,25 - 45,Hispanic,0,1,0,0,0,0,2013-10-28 01:12:00,2013-10-28 07:15:34,13015011CF10A,2013-10-27,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-28,Risk of Violence,1,Low,2013-10-28,2013-10-28,2013-10-28,0,0,886,0,0 +3963,john trentman,john,trentman,2014-02-19,Male,1967-03-09,49,Greater than 45,Caucasian,0,1,0,0,1,-22,2014-01-28 12:27:03,2014-01-30 08:45:35,14001192CF10A,2014-01-27,,23,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-19,Risk of Violence,1,Low,2014-02-19,2014-01-28,2014-01-30,1,0,772,0,0 +3965,edmund witkowski,edmund,witkowski,2014-01-07,Male,1948-06-07,67,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-07 04:54:59,2014-01-07 08:19:22,14001015MU10A,2014-01-07,,0,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-01-07,2014-01-07,0,0,815,0,0 +3966,oliver johnkins,oliver,johnkins,2014-08-22,Male,1956-09-03,59,Greater than 45,African-American,0,8,0,0,14,-1,2014-08-21 03:09:08,2014-09-23 03:26:24,14011438CF10A,2014-08-21,,1,F,Possession of Cocaine,1,14013233CF10A,(F3),0,2014-10-01,Sex Offender Fail Comply W/Law,2014-10-01,2015-11-10,,0,,,,,Risk of Recidivism,8,High,2014-08-22,Risk of Violence,4,Low,2014-08-22,2014-10-01,2015-11-10,14,32,40,1,1 +3969,jeffery curry,jeffery,curry,2013-03-07,Male,1995-03-04,21,Less than 25,African-American,1,10,0,0,1,-1,2013-03-06 08:54:09,2013-03-08 04:35:38,13003326CF10A,,2013-03-06,1,F,arrest case no charge,1,13020501MM10A,(M2),0,2013-10-30,Prowling/Loitering,2013-10-30,2013-10-31,,0,,,,,Risk of Recidivism,10,High,2013-03-07,Risk of Violence,10,High,2013-03-07,2013-10-30,2013-10-31,1,1,237,1,1 +3972,barnabas miller,barnabas,miller,2013-08-26,Male,1984-07-13,31,25 - 45,Caucasian,0,7,0,0,6,-1,2013-08-25 02:54:37,2013-09-04 08:36:01,13016260MM10A,2013-08-25,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-26,Risk of Violence,3,Low,2013-08-26,2015-11-03,2020-01-01,6,9,799,0,0 +3973,lea ferrer,lea,ferrer,2013-03-20,Female,1966-01-12,50,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-03-19 11:02:32,2013-03-20 01:09:46,13003998CF10A,2013-03-19,,1,F,Possession of Cocaine,1,14008926CF10A,(F3),0,2014-06-28,Possession of Cocaine,2014-06-28,2014-06-29,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2014-06-28,2014-06-29,2,0,465,1,1 +3974,ben ali,ben,ali,2013-10-10,Male,1985-07-26,30,25 - 45,African-American,0,3,0,0,7,-1,2013-10-09 06:16:32,2013-10-10 05:30:06,13014164CF10A,2013-10-09,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-10,Risk of Violence,3,Low,2013-10-10,2014-05-02,2014-06-21,7,0,204,0,0 +3975,anthony madeira,anthony,madeira,2013-12-21,Male,1988-04-15,28,25 - 45,Caucasian,0,2,0,0,1,-1,2013-12-20 11:13:53,2013-12-21 08:55:44,13023517MM10A,2013-12-20,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-21,Risk of Violence,2,Low,2013-12-21,2013-12-20,2013-12-21,1,0,832,0,0 +3976,rodney mccray,rodney,mccray,2014-04-28,Male,1967-07-26,48,Greater than 45,African-American,0,7,0,0,7,-1,2014-04-27 07:24:45,2014-04-30 03:52:25,14005855CF10A,2014-04-27,,1,F,Possession of Cocaine,1,14008037CF10A,(F3),,2014-05-05,False Ownership Info/Pawn Item,,,,0,,,,,Risk of Recidivism,7,Medium,2014-04-28,Risk of Violence,3,Low,2014-04-28,2014-04-27,2014-04-30,7,2,7,1,1 +3977,david wilson,david,wilson,2013-12-02,Male,1960-10-21,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-01 08:17:45,2013-12-02 01:55:29,13022371MM10A,2013-12-01,,1,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0 +3978,cristina warman,cristina,warman,2013-01-03,Female,1992-01-19,24,Less than 25,Caucasian,0,3,0,0,1,,,,12018707CF10A,2012-12-26,,8,F,False Ownership Info/Pawn Item,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-03,Risk of Violence,4,Low,2013-01-03,,,1,0,1184,0,0 +3979,orlis deltoro,orlis,deltoro,2013-02-11,Male,1973-11-10,42,25 - 45,Caucasian,0,3,0,0,0,-1,2013-02-10 01:50:22,2013-02-12 09:14:42,13002945MM10A,2013-02-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-12,0,1,1145,0,0 +3980,johnny perdomo,johnny,perdomo,2013-02-20,Male,1981-09-13,34,25 - 45,African-American,0,7,0,0,0,0,2013-02-20 03:41:26,2013-03-21 07:00:32,13003596MM10A,2013-02-20,,0,M,Battery,1,13003426MM40A,(M1),,2013-08-22,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-20,Risk of Violence,8,High,2013-02-20,2013-02-20,2013-03-21,0,29,183,1,1 +3981,james coleman,james,coleman,2014-05-22,Male,1972-10-23,43,25 - 45,African-American,0,5,0,0,4,0,2014-05-22 04:41:27,2014-05-23 03:56:30,14008273MM10A,2014-05-22,,0,M,Viol Pretrial Release Dom Viol,1,14013569MM10A,(M1),,2014-08-12,Viol Pretrial Release Dom Viol,,,,1,14014899CF10A,(F3),2014-11-06,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2014-05-22,Risk of Violence,4,Low,2014-05-22,2014-05-22,2014-05-23,4,1,82,1,1 +3982,marleme louima,marleme,louima,2013-02-26,Male,1971-07-03,44,25 - 45,African-American,0,1,0,0,0,0,2013-02-26 03:50:14,2013-04-09 07:40:28,13002928CF10A,2013-02-26,,0,F,Aggrav Child Abuse-Causes Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-26,Risk of Violence,1,Low,2013-02-26,2013-02-26,2013-04-09,0,42,1130,0,0 +3984,david burgos,david,burgos,2013-01-24,Male,1990-06-29,25,25 - 45,Caucasian,0,7,0,0,0,256,2013-10-07 04:46:47,2013-10-08 03:10:56,13001711MM10A,2013-01-24,,0,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-24,Risk of Violence,5,Medium,2013-01-24,2013-10-07,2013-10-08,0,0,256,0,0 +3985,nicholas chew,nicholas,chew,2014-05-29,Male,1986-12-12,29,25 - 45,Hispanic,0,6,1,0,17,0,2014-05-29 01:16:04,2014-05-31 04:26:56,14007463CF10A,2014-05-28,,1,F,Felony Battery (Dom Strang),1,16000495MM40A,(M1),,2016-01-05,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2014-05-29,Risk of Violence,7,Medium,2014-05-29,2014-05-29,2014-05-31,17,2,586,1,1 +3987,billy hockaday,billy,hockaday,2014-08-16,Male,1990-04-27,25,25 - 45,Caucasian,0,5,0,0,2,-1,2014-08-15 07:14:01,2014-08-16 02:16:45,14011208CF10A,2014-08-15,,1,F,Carrying Concealed Firearm,1,15006971MM10A,(M2),0,2015-06-29,Petit Theft,2015-06-29,2015-07-17,,0,,,,,Risk of Recidivism,5,Medium,2014-08-16,Risk of Violence,4,Low,2014-08-16,2015-06-29,2015-07-17,2,0,317,1,1 +3988,constance jorden,constance,jorden,2013-04-17,Female,1984-04-08,32,25 - 45,African-American,0,3,0,0,0,-1,2013-04-16 07:48:07,2013-04-17 11:04:26,13007385MM10A,2013-04-16,,1,M,Battery,1,13075116TC20A,(M2),,2013-12-03,Posses/Disply Susp/Revk/Frd DL,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,2,Low,2013-04-17,2015-06-21,2015-06-22,0,0,230,1,1 +3989,jorge castro,jorge,castro,2014-03-31,Male,1919-10-14,96,Greater than 45,Hispanic,0,2,0,0,2,-3,2014-03-28 12:45:33,2014-03-29 09:09:59,14004376CF10A,2014-03-28,,3,F,Aggravated Assault W/Dead Weap,1,14014182MM10A,(M2),0,2014-09-25,Petit Theft,2014-09-25,2014-10-08,,0,,,,,Risk of Recidivism,2,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-09-25,2014-10-08,2,0,178,1,1 +3990,emanuel richardson,emanuel,richardson,2014-10-09,Male,1980-06-17,35,25 - 45,African-American,0,4,0,0,10,-232,2014-02-19 02:04:36,2014-02-19 10:30:44,14006515TC10A,,2014-10-08,1,M,arrest case no charge,1,15011627MM10A,(M1),,2015-11-05,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,4,Low,2014-10-09,Risk of Violence,5,Medium,2014-10-09,2014-02-19,2014-02-19,10,0,392,1,1 +3991,franco garcia,franco,garcia,2013-08-04,Male,1986-10-05,29,25 - 45,Hispanic,0,2,0,0,0,-1,2013-08-03 08:35:21,2013-08-05 04:16:09,13014644MM10A,2013-08-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-04,Risk of Violence,2,Low,2013-08-04,2013-08-03,2013-08-05,0,1,971,0,0 +3992,yoshihiro merello,yoshihiro,merello,2013-02-23,Male,1988-07-22,27,25 - 45,Hispanic,0,5,1,1,8,-1,2013-02-22 01:19:26,2013-02-23 09:07:46,13002748CF10A,2013-02-22,,1,F,Possession Of Alprazolam,1,13003313CF10A,(F3),1,2013-03-05,Possession of Cannabis,2013-03-06,2013-03-18,,0,,,,,Risk of Recidivism,5,Medium,2013-02-23,Risk of Violence,4,Low,2013-02-23,2014-10-28,2014-11-06,8,0,10,1,1 +3993,tony figueroa,tony,figueroa,2013-10-28,Male,1974-08-04,41,25 - 45,Hispanic,0,2,0,0,2,-132,2013-06-18 09:13:15,2013-10-25 06:02:07,13006123CF10A,,2013-06-18,132,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-28,Risk of Violence,2,Low,2013-10-28,2015-10-28,2015-11-11,2,0,730,0,0 +3994,efrain morales,efrain,morales,2014-01-06,Male,1985-03-07,31,25 - 45,Hispanic,0,5,0,0,0,-3,2014-01-03 08:06:18,2014-01-04 01:34:34,14000131MM10A,2014-01-03,,3,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-06,Risk of Violence,2,Low,2014-01-06,2014-01-03,2014-01-04,0,0,816,0,0 +3995,joshua newton,joshua,newton,2013-03-19,Male,1991-04-25,24,Less than 25,African-American,0,3,0,0,1,-1,2013-03-18 06:44:00,2013-03-19 06:36:54,13003942CF10A,2013-03-18,,1,F,Robbery Sudd Snatch No Weapon,1,13000758MM30A,(M1),,2013-06-06,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-19,Risk of Violence,3,Low,2013-03-19,2015-09-10,2015-09-16,1,0,79,1,1 +3997,donnell trobridge,donnell,trobridge,2014-07-22,Male,1982-01-04,34,25 - 45,African-American,0,7,0,0,0,0,2014-07-22 01:55:13,2015-03-20 04:18:02,14010013CF10A,,2014-07-22,0,F,arrest case no charge,1,16002342MM10A,(M1),,2016-03-11,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-07-22,Risk of Violence,4,Low,2014-07-22,2015-09-22,2015-11-19,0,241,427,0,1 +3998,courtney hutchinson,courtney,hutchinson,2014-07-18,Male,1967-08-24,48,Greater than 45,African-American,0,1,0,0,2,0,2014-07-18 02:22:11,2014-07-19 03:28:26,14009812CF10A,2014-07-17,,1,F,Grand Theft in the 3rd Degree,1,14013357CF10A,(M1),0,2014-10-03,Refuse Submit Blood/Breath Test,2014-10-03,2014-10-21,,0,,,,,Risk of Recidivism,1,Low,2014-07-18,Risk of Violence,1,Low,2014-07-18,2014-10-03,2014-10-21,2,1,77,1,1 +3999,guiteau auguste,guiteau,auguste,2013-02-26,Male,1974-05-20,41,25 - 45,African-American,0,1,0,0,1,-1,2013-02-25 05:22:38,2013-02-27 05:48:55,13002855CF10A,2013-02-25,,1,F,Grand Theft Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-26,Risk of Violence,1,Low,2013-02-26,2013-02-25,2013-02-27,1,1,1130,0,0 +4000,don royster,don,royster,2014-12-08,Male,1990-01-05,26,25 - 45,African-American,0,9,0,1,12,-1,2014-12-07 08:37:36,2014-12-18 01:56:31,14017227MM10A,2014-12-07,,1,M,Battery,1,15011699MM10A,(M1),0,2015-11-07,Trespass Other Struct/Convey,2015-11-07,2015-11-08,,0,,,,,Risk of Recidivism,9,High,2014-12-08,Risk of Violence,4,Low,2014-12-08,2015-08-26,2015-08-27,12,10,261,0,1 +4001,anthony allen,anthony,allen,2014-08-01,Male,1973-10-23,42,25 - 45,African-American,0,5,0,0,0,0,2014-08-01 02:18:37,2014-08-08 03:33:09,14010507CF10A,2014-08-01,,0,F,Imperson Public Officer or Emplyee,1,14011467CF10A,(F3),305,2014-08-22,Felony Petit Theft,2015-06-23,2015-07-31,,0,,,,,Risk of Recidivism,5,Medium,2014-08-01,Risk of Violence,2,Low,2014-08-01,2014-08-01,2014-08-08,0,7,21,1,1 +4002,jeffrey richardson,jeffrey,richardson,2013-03-09,Male,1986-12-29,29,25 - 45,African-American,0,5,0,0,0,-1,2013-03-08 03:17:45,2013-04-19 08:34:18,13004701MM10A,2013-03-08,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-09,Risk of Violence,3,Low,2013-03-09,2013-04-23,2013-05-03,0,41,45,0,0 +4003,ryan dundas,ryan,dundas,2013-05-19,Male,1989-05-02,26,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-18 11:23:09,2013-05-19 12:50:42,13009580MM10A,2013-05-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-19,Risk of Violence,3,Low,2013-05-19,2013-05-18,2013-05-19,0,0,1048,0,0 +4004,lyntina marshall,lyntina,marshall,2013-09-23,Female,1988-06-17,27,25 - 45,African-American,0,3,0,0,1,0,2013-09-23 12:15:53,2013-11-07 02:18:29,13006658CF10A,,2013-09-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-09-23,2013-11-07,1,45,921,0,0 +4005,joseph lapoint,joseph,lapoint,2013-09-18,Male,1981-02-10,35,25 - 45,Caucasian,0,2,0,0,4,-1,2013-09-17 07:57:04,2013-10-18 09:02:20,13017723MM10A,2013-09-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-18,Risk of Violence,3,Low,2013-09-18,2013-09-17,2013-10-18,4,30,926,0,0 +4006,richard turello,richard,turello,2013-02-16,Male,1961-11-18,54,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-02-15 11:29:24,2013-02-16 01:02:04,13002373CF10A,2013-02-15,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-16,Risk of Violence,1,Low,2013-02-16,2013-05-22,2013-06-13,1,0,95,0,0 +4007,zane thompson-henry,zane,thompson-henry,2014-11-29,Male,1991-10-31,24,Less than 25,African-American,0,10,0,0,3,-155,2014-06-27 12:58:33,2014-06-27 08:35:57,14009976MM10A,2014-06-26,,156,M,Trespass Struct/Conveyance,1,15027308TC20A,(M2),44,2015-04-28,Driving License Suspended,2015-06-11,2015-06-12,,0,,,,,Risk of Recidivism,10,High,2014-11-29,Risk of Violence,10,High,2014-11-29,2015-06-11,2015-06-12,3,0,150,1,1 +4010,jeremiah lewis,jeremiah,lewis,2014-02-02,Male,1995-06-12,20,Less than 25,African-American,0,6,0,0,0,-1,2014-02-01 09:21:02,2014-02-02 07:48:18,14001448CF10A,2014-02-01,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-02,Risk of Violence,6,Medium,2014-02-02,2014-02-01,2014-02-02,0,0,789,0,0 +4011,christopher dunn,christopher,dunn,2013-07-08,Male,1989-02-09,27,25 - 45,Caucasian,0,6,0,0,0,-3,2013-07-05 02:10:44,2013-07-06 07:33:50,13009939CF10A,,2013-07-05,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-08,Risk of Violence,5,Medium,2013-07-08,2013-09-04,2013-09-05,0,0,58,0,0 +4012,shaquille stephens,shaquille,stephens,2013-03-22,Male,1994-07-30,21,Less than 25,African-American,0,7,0,0,1,-1,2013-03-21 06:38:57,2013-03-23 04:48:56,13004110CF10A,2013-03-21,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-22,Risk of Violence,7,Medium,2013-03-22,2013-10-09,2013-11-15,1,1,201,0,0 +4013,robert dey,robert,dey,2014-04-16,Male,1989-02-14,27,25 - 45,Caucasian,0,9,1,1,7,-1,2014-04-15 01:46:42,2014-04-17 03:05:00,14006354MM10A,2014-04-15,,1,M,Battery,1,15003227CF10A,(F3),,2014-12-02,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,9,High,2014-04-16,Risk of Violence,8,High,2014-04-16,2014-07-03,2014-09-03,7,1,78,0,1 +4014,eric keel,eric,keel,2014-03-01,Male,1981-11-06,34,25 - 45,African-American,1,8,0,0,11,-1,2014-02-28 04:43:38,2014-03-01 09:54:18,14002873CF10A,,2014-02-28,1,F,arrest case no charge,1,16000371CF10A,(M1),0,2016-01-09,,2016-01-09,2016-01-15,,0,,,,,Risk of Recidivism,8,High,2014-03-01,Risk of Violence,4,Low,2014-03-01,2014-04-09,2014-04-10,11,0,39,0,1 +4016,christopher john,christopher,john,2014-02-12,Male,1988-05-24,27,25 - 45,Caucasian,0,7,0,0,4,-42,2014-01-01 11:58:12,2014-02-12 11:17:33,14000057CF10A,2014-01-01,,42,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-01-01,2014-02-12,4,0,779,0,0 +4018,jerome simmins,jerome,simmins,2013-04-02,Male,1961-11-22,54,Greater than 45,African-American,0,1,0,0,0,-1,2013-04-01 12:29:20,2013-04-02 12:43:55,13006256MM10A,2013-04-01,,1,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-02,Risk of Violence,1,Low,2013-04-02,2014-03-03,2014-03-12,0,0,335,0,0 +4020,gavin simpson,gavin,simpson,2013-10-20,Male,1987-02-04,29,25 - 45,Other,0,2,0,0,2,-1,2013-10-19 09:33:07,2013-10-21 03:05:00,13014649CF10A,2013-10-19,,1,F,Felony Driving While Lic Suspd,1,15056862TC20A,(M2),,2015-10-13,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-20,Risk of Violence,2,Low,2013-10-20,2013-10-19,2013-10-21,2,1,723,1,1 +4021,derrick hepburn,derrick,hepburn,2013-06-06,Male,1977-03-19,39,25 - 45,African-American,0,1,0,0,1,-6,2013-05-31 10:13:39,2013-06-05 09:47:23,08001926CF10A,,2013-05-31,6,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-06,Risk of Violence,1,Low,2013-06-06,2013-05-31,2013-06-05,1,0,1030,0,0 +4022,kianna myers,kianna,myers,2014-02-27,Female,1993-10-10,22,Less than 25,Caucasian,0,7,1,1,2,,,,11018746CF10A,,2012-04-17,681,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-27,Risk of Violence,5,Medium,2014-02-27,,,2,0,764,0,0 +4023,hazel baptist-murillo,hazel,baptist-murillo,2013-09-17,Female,1983-02-24,33,25 - 45,Caucasian,0,1,0,0,0,-2,2013-09-15 11:15:31,2013-09-16 02:27:48,13017582MM10A,2013-09-15,,2,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-17,Risk of Violence,1,Low,2013-09-17,2013-09-15,2013-09-16,0,0,927,0,0 +4024,markita thurman,markita,thurman,2013-01-14,Female,1990-09-24,25,25 - 45,African-American,0,8,0,0,2,210,2013-08-12 03:46:47,2014-09-24 05:57:16,12017959CF10A,,2012-12-07,38,F,arrest case no charge,1,13016466MM10A,(M1),32,2013-07-11,Petit Theft $100- $300,2013-08-12,2014-09-24,,0,,,,,Risk of Recidivism,8,High,2013-01-14,Risk of Violence,7,Medium,2013-01-14,2015-10-15,2015-10-22,2,0,178,1,1 +4026,nancy jimenez,nancy,jimenez,2014-03-19,Female,1975-08-06,40,25 - 45,Hispanic,0,2,0,0,7,-19,2014-02-28 02:15:56,2014-03-06 09:36:11,14003048CF10A,,2014-02-28,19,F,arrest case no charge,1,14070864TC20A,(M2),,2014-10-07,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-19,Risk of Violence,1,Low,2014-03-19,2014-02-28,2014-03-06,7,0,202,1,1 +4028,natasha brown,natasha,brown,2013-10-14,Female,1980-05-20,35,25 - 45,African-American,0,4,0,0,0,-1,2013-10-13 05:47:56,2013-10-14 05:04:52,13019419MM10A,2013-10-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-14,Risk of Violence,2,Low,2013-10-14,2013-10-13,2013-10-14,0,0,900,0,0 +4029,angel roman,angel,roman,2013-05-29,Male,1987-09-07,28,25 - 45,Hispanic,0,2,0,0,0,0,2013-05-29 04:18:26,2013-05-31 12:12:39,13010325MM10A,2013-05-29,,0,M,Battery,1,14000709MM40A,(M2),,2014-01-26,Petit Theft,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-29,Risk of Violence,4,Low,2013-05-29,2013-05-29,2013-05-31,0,2,242,1,1 +4031,allan harris,allan,harris,2013-09-04,Male,1962-07-21,53,Greater than 45,African-American,0,1,0,0,0,-3,2013-09-01 09:05:41,2013-09-02 08:16:10,13016732MM10A,2013-09-01,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-01,2013-09-02,0,0,940,0,0 +4032,eric broadway,eric,broadway,2013-02-08,Male,1987-11-24,28,25 - 45,Caucasian,0,4,0,1,2,-1,2013-02-07 04:53:39,2013-02-20 07:44:08,13002766MM10A,2013-02-07,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-08,Risk of Violence,3,Low,2013-02-08,2015-01-14,2015-01-28,2,12,705,0,0 +4033,aaron gilliam,aaron,gilliam,2013-02-07,Male,1989-07-18,26,25 - 45,African-American,0,8,0,0,0,-1,2013-02-06 10:27:22,2013-02-07 08:07:33,13001859CF10A,2013-02-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-07,Risk of Violence,4,Low,2013-02-07,2013-02-06,2013-02-07,0,0,1149,0,0 +4035,ronal jean,ronal,jean,2013-04-04,Male,1985-05-15,30,25 - 45,African-American,0,3,0,0,1,1040,2016-02-08 05:28:51,2016-02-25 09:37:50,10009122CF10A,,2010-05-20,1050,F,arrest case no charge,1,16001733CF10A,(F3),0,2016-02-08,False Motor Veh Insurance Card,2016-02-08,2016-02-25,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,2,Low,2013-04-04,2016-02-08,2016-02-25,1,0,1040,1,0 +4036,brandon mcneil,brandon,mcneil,2013-03-26,Male,1984-11-30,31,25 - 45,African-American,0,5,1,0,3,0,2013-03-26 03:40:52,2013-03-27 02:26:05,13004378CF10A,2013-03-26,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,5,Medium,2013-03-26,2013-03-26,2013-03-27,3,1,1102,0,0 +4037,todd cullen,todd,cullen,2014-03-09,Male,1992-01-31,24,Less than 25,Caucasian,0,8,0,0,3,-1,2014-03-08 08:41:02,2014-03-09 10:08:09,14004021MM10A,2014-03-08,,1,M,Battery,1,15006522TC30A,(M2),,2015-01-17,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,8,High,2014-03-09,Risk of Violence,5,Medium,2014-03-09,2014-03-08,2014-03-09,3,0,314,1,1 +4038,patrick damico,patrick,damico,2014-03-15,Male,1970-08-11,45,Greater than 45,Caucasian,0,6,0,0,19,-1,2014-03-14 05:58:42,2014-03-16 03:56:29,14003649CF10A,2014-03-14,,1,F,Felony Petit Theft,1,14006153CF10A,(F3),0,2014-05-02,Grand Theft in the 3rd Degree,2014-05-02,2014-08-26,,0,,,,,Risk of Recidivism,6,Medium,2014-03-15,Risk of Violence,7,Medium,2014-03-15,2014-05-02,2014-08-26,19,1,48,1,1 +4039,jorge rodriguez,jorge,rodriguez,2014-02-07,Male,1982-11-13,33,25 - 45,Hispanic,0,4,0,0,1,0,2014-02-07 03:22:03,2014-02-07 09:16:46,14005066MU10A,2014-02-07,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-07,Risk of Violence,2,Low,2014-02-07,2014-02-07,2014-02-07,1,0,784,0,0 +4041,cedrial brown,cedrial,brown,2014-01-11,Male,1987-11-26,28,25 - 45,African-American,0,7,0,0,1,0,2014-01-11 05:21:34,2014-01-11 08:39:59,14000469CF10A,2014-01-11,,0,F,Possession of Codeine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-11,Risk of Violence,7,Medium,2014-01-11,2014-01-11,2014-01-11,1,0,811,0,0 +4045,cynthia stone,cynthia,stone,2013-04-26,Female,1970-05-27,45,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-04-25 01:19:09,2013-04-26 01:56:13,13005971CF10A,2013-04-25,,1,F,Possession Of Methamphetamine,1,14002138TC10A,(M2),134,2013-11-19,Fail Register Vehicle,2014-04-02,2014-04-10,,0,,,,,Risk of Recidivism,3,Low,2013-04-26,Risk of Violence,1,Low,2013-04-26,2013-07-31,2013-09-23,1,0,96,0,1 +4047,sade kendirck,sade,kendirck,2013-10-09,Female,1993-08-07,22,Less than 25,African-American,0,6,0,0,1,,,,12008794MM10A,2012-04-29,,528,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-09,Risk of Violence,7,Medium,2013-10-09,,,1,0,905,0,0 +4048,justin stilley,justin,stilley,2013-04-30,Male,1982-06-21,33,25 - 45,Caucasian,0,8,0,0,3,-19,2013-04-11 11:59:05,2013-04-26 07:00:10,12004112CF10A,,2013-04-11,19,F,arrest case no charge,1,15004951MM10A,(M1),0,2015-05-02,Petit Theft $100- $300,2015-05-02,2015-05-15,,0,,,,,Risk of Recidivism,8,High,2013-04-30,Risk of Violence,7,Medium,2013-04-30,2014-02-27,2014-06-24,3,0,303,0,1 +4049,michael poveda,michael,poveda,2014-10-13,Male,1992-09-17,23,Less than 25,Caucasian,0,6,0,4,4,0,2014-10-13 12:49:23,2014-10-13 01:44:37,14013790CF10A,2014-10-12,,1,F,Poss Pyrrolidinovalerophenone,1,15014449TC30A,(M2),,2015-02-18,Operating W/O Valid License,,,,1,15006412CF10A,(F3),2015-05-17,Battery on Law Enforc Officer,Risk of Recidivism,6,Medium,2014-10-13,Risk of Violence,4,Low,2014-10-13,2015-03-13,2015-03-18,4,0,128,1,1 +4052,lonnie childress,lonnie,childress,2013-01-05,Male,1979-10-31,36,25 - 45,African-American,0,5,0,0,6,-1,2013-01-04 03:10:09,2013-03-29 10:22:04,13000167CF10A,2013-01-04,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-05,Risk of Violence,5,Medium,2013-01-05,2013-01-04,2013-03-29,6,83,1182,0,0 +4054,james smith,james,smith,2013-03-30,Male,1994-04-16,22,Less than 25,African-American,0,3,0,0,0,-1,2013-03-29 06:04:18,2013-03-30 04:10:47,13004554CF10A,2013-03-29,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,5,Medium,2013-03-30,2013-03-29,2013-03-30,0,0,1098,0,0 +4058,christina crianza,christina,crianza,2013-05-23,Male,1970-08-17,45,Greater than 45,Caucasian,0,1,0,0,1,,,,11028333MM10A,2011-12-29,,511,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-23,Risk of Violence,1,Low,2013-05-23,,,1,0,1044,0,0 +4059,tyrell daniels,tyrell,daniels,2013-03-06,Male,1988-01-12,28,25 - 45,African-American,0,5,0,0,2,0,2013-03-06 02:18:21,2013-03-07 05:08:28,13003361CF10A,2013-03-05,,1,F,Grand Theft in the 3rd Degree,1,15001028MM40A,(M1),,2015-02-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-06,Risk of Violence,6,Medium,2013-03-06,2013-03-06,2013-03-07,2,1,714,1,1 +4060,max metayer,max,metayer,2013-04-29,Male,1978-08-22,37,25 - 45,African-American,0,2,0,0,3,-1,2013-04-28 10:44:17,2013-04-29 06:35:59,13008180MM10A,2013-04-28,,1,M,Battery,1,15044627TC30A,(M2),,2015-06-08,Fraud Obtain/ Use Disable Permit,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-28,2013-04-29,3,0,770,1,0 +4061,bess lamb,bess,lamb,2013-01-13,Female,1964-03-09,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-12 07:04:33,2013-01-13 01:52:34,13000720MM10A,2013-01-12,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0 +4062,guillermo zuniga,guillermo,zuniga,2013-08-16,Male,1989-06-24,26,25 - 45,Caucasian,0,2,0,0,0,0,2013-08-16 06:08:42,2013-08-18 05:08:01,13011530CF10A,2013-08-16,,0,F,Aggravated Battery,1,15051974TC20A,(M2),,2015-09-17,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-16,Risk of Violence,3,Low,2013-08-16,2013-08-16,2013-08-18,0,2,762,1,0 +4063,william valdes,william,valdes,2014-11-12,Male,1987-05-06,28,25 - 45,Caucasian,0,4,0,0,4,-1,2014-11-11 06:36:04,2014-11-15 03:02:52,14015114CF10A,2014-11-11,,1,F,Possession Of Heroin,1,15001965CF10A,(F3),0,2015-02-11,Possession of Morphine,2015-02-11,2015-03-19,,0,,,,,Risk of Recidivism,4,Low,2014-11-12,Risk of Violence,2,Low,2014-11-12,2014-12-05,2014-12-06,4,3,23,0,1 +4064,lanette garcia,lanette,garcia,2014-03-18,Female,1983-02-03,33,25 - 45,Caucasian,0,4,0,0,2,-1,2014-03-17 09:15:29,2014-03-31 10:02:05,14003828CF10A,,2014-03-18,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-18,Risk of Violence,2,Low,2014-03-18,2014-03-17,2014-03-31,2,13,745,0,0 +4065,alexander laute,alexander,laute,2013-04-04,Male,1992-06-10,23,Less than 25,Caucasian,0,4,0,1,3,-1,2013-04-03 02:07:02,2013-05-14 08:05:26,13004767CF10A,,2013-04-03,1,F,arrest case no charge,1,14002589MM10A,(M2),,2014-01-16,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-04,Risk of Violence,4,Low,2013-04-04,2013-09-06,2013-09-22,3,40,155,0,1 +4067,brian mayors,brian,mayors,2014-01-26,Male,1984-12-27,31,25 - 45,Caucasian,0,4,0,1,3,-1,2014-01-25 11:14:09,2014-01-26 08:02:45,14002841MU10A,2014-01-25,,1,M,Driving Under The Influence,1,14052681TC30A,(M2),,2014-06-14,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-26,Risk of Violence,2,Low,2014-01-26,2014-01-25,2014-01-26,3,0,139,1,1 +4068,angela margison,angela,margison,2013-08-12,Female,1961-02-04,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-11 06:49:45,2013-08-12 09:32:58,13015173MM10A,2013-08-11,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-12,Risk of Violence,1,Low,2013-08-12,2014-05-20,2014-05-21,0,0,281,0,0 +4069,veron elliot,veron,elliot,2013-09-23,Male,1991-05-05,24,Less than 25,Caucasian,0,4,0,2,3,0,2013-09-23 12:21:54,2013-09-23 07:52:28,13013357CF10A,2013-09-22,,1,F,Tamper With Witness/Victim/CI,1,15023733TC40A,(M2),,2015-04-14,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,6,Medium,2013-09-23,2013-09-23,2013-09-23,3,0,568,1,1 +4070,andrew pardo,andrew,pardo,2014-02-02,Male,1979-01-17,37,25 - 45,African-American,0,1,0,0,2,0,2014-02-02 09:39:48,2014-02-03 08:48:52,13043243TC10A,2013-10-04,,121,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,1,Low,2014-02-02,2014-02-02,2014-02-03,2,1,789,0,0 +4072,phillip jaggon,phillip,jaggon,2013-10-04,Male,1974-08-17,41,25 - 45,African-American,0,1,0,0,0,0,2013-10-04 02:06:11,2014-03-30 04:15:17,13013943CF10A,2013-10-03,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,1,Low,2013-10-04,2013-10-04,2014-03-30,0,177,910,0,0 +4073,andrew deabenderfer,andrew,deabenderfer,2013-03-06,Male,1989-08-14,26,25 - 45,Caucasian,0,2,0,0,0,-1,2013-03-05 09:28:44,2013-03-06 07:12:03,13004487MM10A,2013-03-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-06,Risk of Violence,3,Low,2013-03-06,2016-02-23,2016-02-23,0,0,1084,0,0 +4075,eric page,eric,page,2013-04-08,Male,1975-04-15,41,25 - 45,African-American,0,5,0,0,13,-1,2013-04-07 11:54:14,2013-04-10 05:02:21,13005012CF10A,2013-04-07,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-08,Risk of Violence,5,Medium,2013-04-08,2013-11-09,2013-11-14,13,2,215,0,0 +4076,anderson carrington,anderson,carrington,2013-02-18,Male,1983-01-31,33,25 - 45,African-American,0,6,0,0,6,-1,2013-02-17 07:07:48,2013-02-18 02:48:50,13002445CF10A,2013-02-17,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-18,Risk of Violence,2,Low,2013-02-18,2013-02-17,2013-02-18,6,0,1138,0,0 +4078,anthony ramirez,anthony,ramirez,2014-01-12,Male,1968-05-28,47,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-01-11 06:21:34,2014-01-14 09:19:02,14000565MM10A,2014-01-11,,1,M,Exposes Culpable Negligence,1,14031520TC20A,(M2),,2014-04-29,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-12,Risk of Violence,1,Low,2014-01-12,2014-01-11,2014-01-14,0,2,107,1,1 +4080,alex diaz,alex,diaz,2013-10-30,Male,1992-05-11,23,Less than 25,African-American,0,5,0,0,0,-1,2013-10-29 06:06:57,2013-10-31 02:30:08,13015107CF10A,2013-10-29,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-30,Risk of Violence,6,Medium,2013-10-30,2013-10-29,2013-10-31,0,1,884,0,0 +4081,james liantonio,james,liantonio,2014-03-08,Male,1988-10-10,27,25 - 45,Caucasian,0,3,0,0,1,-1,2014-03-07 07:32:26,2014-03-08 09:08:08,13016455CF10A,,2014-03-07,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-08,Risk of Violence,2,Low,2014-03-08,2014-03-07,2014-03-08,1,0,755,0,0 +4082,alexander brock,alexander,brock,2014-03-26,Male,1991-12-09,24,Less than 25,Caucasian,0,5,0,0,0,0,2014-03-26 12:17:11,2014-05-02 11:11:37,14004295CF10A,2014-03-25,,1,F,Tamper With Victim,1,15004465MM10A,(M1),0,2015-04-19,Viol Injunct Domestic Violence,2015-04-19,2015-08-15,,1,15011678MM10A,(M1),2015-11-06,Battery,Risk of Recidivism,5,Medium,2014-03-26,Risk of Violence,5,Medium,2014-03-26,2014-06-18,2014-07-11,0,37,84,0,1 +4083,giovanni simpson,giovanni,simpson,2013-05-14,Male,1992-07-31,23,Less than 25,Other,0,8,0,0,2,,,,11012675MM10A,,2013-05-13,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-14,Risk of Violence,7,Medium,2013-05-14,,,2,0,1053,0,0 +4084,evans sainvil,evans,sainvil,2013-04-22,Male,1985-05-13,30,25 - 45,African-American,0,9,1,0,10,0,2013-04-22 12:52:54,2013-07-25 06:28:53,13005734CF10A,,2013-04-22,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-22,Risk of Violence,6,Medium,2013-04-22,2013-07-25,2014-01-30,10,283,1075,0,0 +4085,thomas wright,thomas,wright,2013-02-19,Male,1961-01-05,55,Greater than 45,Caucasian,0,3,0,0,1,0,2013-02-19 03:15:37,2013-02-20 01:09:10,13002525CF10A,2013-02-19,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,2,Low,2013-02-19,2013-07-01,2013-07-09,1,1,132,0,0 +4086,andre barrington,andre,barrington,2014-01-24,Male,1989-06-12,26,25 - 45,African-American,0,10,0,0,13,0,2014-01-24 01:47:58,2014-01-31 09:03:31,14001369MM10A,2014-01-23,,1,M,Battery,1,14001105MM30A,(M1),,2014-06-27,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,10,High,2014-01-24,Risk of Violence,10,High,2014-01-24,2014-05-04,2014-05-09,13,7,100,0,1 +4087,tara bostick,tara,bostick,2014-03-03,Female,1974-06-11,41,25 - 45,African-American,0,6,1,0,6,-65,2013-12-28 06:57:04,2013-12-29 02:16:19,13023904MM10A,2013-12-28,,65,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-03,Risk of Violence,2,Low,2014-03-03,2013-12-28,2013-12-29,6,0,760,0,0 +4088,matthew moore,matthew,moore,2013-02-14,Male,1981-03-01,35,25 - 45,African-American,0,3,0,0,0,0,2013-02-14 02:05:55,2013-02-15 01:58:22,13002333CF10A,2013-02-14,,0,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2013-02-14,2013-02-15,0,1,1142,0,0 +4098,casey times,casey,times,2014-04-28,Male,1990-01-12,26,25 - 45,African-American,0,4,0,0,4,-73,2014-02-14 04:56:04,2014-04-28 12:24:21,14002109CF10A,2014-02-13,,74,F,Robbery Sudd Snatch No Weapon,1,15004670CF10A,(F3),0,2015-04-09,Poss Pyrrolidinovalerophenone,2015-04-09,2015-07-24,,0,,,,,Risk of Recidivism,4,Low,2014-04-28,Risk of Violence,5,Medium,2014-04-28,2014-08-22,2014-09-17,4,0,116,0,1 +4099,travon burton,travon,burton,2014-02-19,Male,1995-08-02,20,Less than 25,African-American,0,4,0,0,1,-22,2014-01-28 12:36:10,2014-01-29 01:59:17,14001563MM10A,2014-01-28,,22,M,Prowling/Loitering,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-19,Risk of Violence,6,Medium,2014-02-19,2014-01-28,2014-01-29,1,0,772,0,0 +4100,michael carrier,michael,carrier,2013-01-22,Male,1991-11-19,24,Less than 25,Caucasian,0,8,0,0,3,-1,2013-01-21 03:56:17,2013-01-30 02:19:32,13001401MM10A,2013-01-21,,1,M,Disorderly Conduct,1,13007421CF10A,(F3),0,2013-05-24,Obstruct Fire Equipment,2013-05-24,2013-06-04,,0,,,,,Risk of Recidivism,8,High,2013-01-22,Risk of Violence,7,Medium,2013-01-22,2013-05-24,2013-06-04,3,8,122,1,1 +4101,dorron tate,dorron,tate,2013-09-25,Male,1985-04-04,31,25 - 45,African-American,0,10,2,0,8,-1,2013-09-24 10:11:44,2013-09-28 05:02:49,13018231MM10A,2013-09-24,,1,M,Battery,1,14025291TC10A,(M2),0,2014-07-10,Susp Drivers Lic 1st Offense,2014-07-10,2014-07-11,,1,15003600CF10A,(F3),2015-01-20,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2013-09-25,Risk of Violence,10,High,2013-09-25,2014-07-10,2014-07-11,8,3,288,1,1 +4102,dequontra perdue,dequontra,perdue,2013-05-24,Male,1993-07-31,22,Less than 25,African-American,0,9,1,0,2,,,,11013456CF10A,,2013-05-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-24,Risk of Violence,7,Medium,2013-05-24,,,2,0,1043,0,0 +4104,wyche cardal,wyche,cardal,2014-02-15,Male,1960-10-23,55,Greater than 45,African-American,0,1,0,0,0,-1,2014-02-14 09:24:35,2014-02-16 03:37:44,14002116CF10A,2014-02-14,,1,F,Pos Cannabis W/Intent Sel/Del,1,14006837CF10A,(F3),,2014-05-14,Possession of Cannabis,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-15,Risk of Violence,1,Low,2014-02-15,2014-02-14,2014-02-16,0,1,88,1,1 +4105,elliot alvarado,elliot,alvarado,2014-05-19,Male,1982-08-02,33,25 - 45,Caucasian,0,9,0,0,7,-1,2014-05-18 12:59:59,2014-05-19 08:39:12,14006919CF10A,2014-05-18,,1,F,Neglect Child / No Bodily Harm,1,14011974CF10A,(M1),0,2014-09-02,Viol Injunct Domestic Violence,2014-09-02,2014-10-03,,1,14011974CF10A,(F7),2014-09-02,Burglary Conveyance Assault/Bat,Risk of Recidivism,9,High,2014-05-19,Risk of Violence,9,High,2014-05-19,2014-09-02,2014-10-03,7,0,106,1,1 +4106,steven adams,steven,adams,2014-01-18,Male,1971-05-29,44,25 - 45,Caucasian,0,6,0,0,6,-1,2014-01-17 05:32:07,2014-10-14 06:07:45,12001442CF10A,,2014-01-17,1,F,arrest case no charge,1,15007695MM10A,(M1),,2015-07-19,Battery,,,,1,15007695MM10A,(M1),2015-07-19,Battery,Risk of Recidivism,6,Medium,2014-01-18,Risk of Violence,4,Low,2014-01-18,2014-10-14,2015-02-25,6,403,547,1,1 +4108,craig johnson,craig,johnson,2013-02-06,Male,1974-11-09,41,25 - 45,African-American,0,9,0,0,25,-1,2013-02-05 05:31:42,2013-08-10 05:00:46,13001804CF10A,2013-02-05,,1,F,Possession of Cocaine,1,14014277MM10A,(M1),0,2014-09-27,Battery,2014-09-27,2014-10-29,,1,14014277MM10A,(M1),2014-09-27,Battery,Risk of Recidivism,9,High,2013-02-06,Risk of Violence,9,High,2013-02-06,2013-11-25,2014-07-25,25,185,292,0,1 +4111,willie ross,willie,ross,2014-01-07,Male,1960-02-17,56,Greater than 45,African-American,0,8,0,0,9,0,2014-01-07 12:09:17,2014-01-08 04:07:24,05034850TC10A,,2006-10-12,2644,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-01-07,Risk of Violence,5,Medium,2014-01-07,2014-01-07,2014-01-08,9,1,815,0,0 +4112,damian levy,damian,levy,2013-09-05,Male,1995-04-18,21,Less than 25,African-American,0,3,0,0,1,-10,2013-08-26 06:22:19,2013-08-28 11:07:09,13012050CF10A,2013-08-26,,10,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-05,Risk of Violence,6,Medium,2013-09-05,2013-08-26,2013-08-28,1,0,939,0,0 +4116,dion hawkins,dion,hawkins,2013-03-06,Male,1979-05-24,36,25 - 45,African-American,0,2,0,0,1,550,2014-09-07 07:22:21,2015-04-14 08:11:29,12005033CF10A,,2012-03-21,350,F,arrest case no charge,1,13010459CF10A,(F3),509,2013-04-16,Grand Theft In The 3Rd Degree,2014-09-07,2015-04-14,,0,,,,,Risk of Recidivism,2,Low,2013-03-06,Risk of Violence,4,Low,2013-03-06,2015-04-14,2020-01-01,1,0,41,1,1 +4117,inger kirkeleit,inger,kirkeleit,2013-02-21,Female,1968-01-21,48,Greater than 45,Caucasian,0,1,0,0,1,0,2013-02-21 12:21:36,2013-02-22 01:04:45,13003613MM10A,2013-02-20,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-21,2013-02-22,1,1,1135,0,0 +4118,richard aguilera,richard,aguilera,2013-01-16,Male,1988-10-27,27,25 - 45,Caucasian,0,6,0,0,6,117,2013-05-13 04:26:48,2013-05-16 06:26:43,12009514CF10A,,2012-05-31,230,F,arrest case no charge,1,15054006TC40A,(M2),,2015-09-10,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-16,Risk of Violence,5,Medium,2013-01-16,2013-05-13,2013-05-16,6,0,117,0,1 +4119,juan garcia,juan,garcia,2013-04-04,Male,1960-02-02,56,Greater than 45,Caucasian,0,6,0,0,7,-1,2013-04-03 04:08:42,2013-10-14 08:41:24,13005986CF10A,2013-04-03,,1,F,Felony Battery w/Prior Convict,1,13005979CF10A,(F3),349,2013-04-24,Grand Theft in the 3rd Degree,2014-04-08,2014-04-28,,0,,,,,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,8,High,2013-04-04,2013-04-03,2013-10-14,7,0,20,1,1 +4120,sergio rastelli,sergio,rastelli,2013-10-22,Male,1976-06-08,39,25 - 45,Caucasian,0,1,0,0,2,-26,2013-09-26 06:13:26,2013-09-29 02:36:41,13013553CF10A,2013-09-26,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-09-26,2013-09-29,2,0,892,0,0 +4121,tiago dossantos,tiago,dossantos,2013-01-26,Male,1985-01-06,31,25 - 45,Hispanic,0,2,0,0,0,-1,2013-01-25 11:48:14,2013-01-27 04:00:15,13001223CF10A,2013-01-25,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-26,Risk of Violence,2,Low,2013-01-26,2013-01-25,2013-01-27,0,1,1161,0,0 +4122,angelica garcia,angelica,garcia,2013-04-09,Female,1991-03-28,25,25 - 45,Caucasian,0,6,0,0,0,-1,2013-04-08 11:29:18,2013-04-09 08:33:10,13005108CF10A,2013-04-08,,1,F,Abuse Without Great Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-09,Risk of Violence,4,Low,2013-04-09,2013-04-08,2013-04-09,0,0,1088,0,0 +4123,kenneth kiester,kenneth,kiester,2013-12-17,Male,1965-01-13,51,Greater than 45,Caucasian,0,1,0,0,1,-83,2013-09-25 07:10:01,2013-09-28 02:10:00,13012734CF10A,,2013-09-25,83,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-17,Risk of Violence,1,Low,2013-12-17,2013-09-25,2013-09-28,1,0,836,0,0 +4125,ebony mcphee,ebony,mcphee,2013-11-07,Female,1987-10-04,28,25 - 45,African-American,0,5,0,0,3,-16,2013-10-22 07:20:56,2013-11-07 12:54:50,13014757CF10A,2013-10-22,,16,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-07,Risk of Violence,4,Low,2013-11-07,2013-10-22,2013-11-07,3,0,876,0,0 +4126,michael simpson,michael,simpson,2013-12-14,Male,1985-08-11,30,25 - 45,African-American,0,2,0,0,0,-1,2013-12-13 10:27:58,2013-12-14 08:35:08,13017269CF10A,2013-12-13,,1,F,Possession of Oxycodone,1,15000490MM10A,(M1),,2014-12-17,Battery,,,,1,15000490MM10A,(M1),2014-12-17,Battery,Risk of Recidivism,2,Low,2013-12-14,Risk of Violence,2,Low,2013-12-14,2013-12-13,2013-12-14,0,0,368,1,1 +4127,raven harrison,raven,harrison,2014-07-07,Female,1996-06-25,19,Less than 25,African-American,0,8,0,0,0,-1,2014-07-06 03:06:43,2014-07-07 07:43:34,14010364MM10A,2014-07-06,,1,M,Exposes Culpable Negligence,1,15007005CF10A,(F3),0,2015-05-29,Child Abuse,2015-05-29,2015-05-31,,1,15007005CF10A,(F3),2015-05-29,Child Abuse,Risk of Recidivism,8,High,2014-07-07,Risk of Violence,8,High,2014-07-07,2015-05-29,2015-05-31,0,0,326,1,1 +4128,jamarc polynice,jamarc,polynice,2013-11-27,Male,1995-08-10,20,Less than 25,African-American,0,4,0,0,0,-1,2013-11-26 01:39:08,2013-11-27 07:41:59,13022233MM10A,2013-11-26,,1,M,Battery,1,14001734MM40A,(M1),,2014-04-16,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-27,Risk of Violence,7,Medium,2013-11-27,2014-05-12,2014-05-12,0,0,140,1,1 +4130,barney arnold,barney,arnold,2014-01-24,Male,1958-06-24,57,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-23 11:57:32,2014-01-28 06:37:34,14000999CF10A,2014-01-23,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-23,2014-01-28,0,4,798,0,0 +4134,roger raysor,roger,raysor,2013-02-05,Male,1965-01-26,51,Greater than 45,African-American,0,6,0,0,8,-1,2013-02-04 05:27:16,2013-02-05 01:48:26,13002542MM10A,2013-02-04,,1,M,Petit Theft $100- $300,1,13003854CF10A,(F3),0,2013-03-16,Felony Petit Theft,2013-03-16,2013-03-17,,0,,,,,Risk of Recidivism,6,Medium,2013-02-05,Risk of Violence,7,Medium,2013-02-05,2013-03-16,2013-03-17,8,0,39,1,1 +4135,ryan jones,ryan,jones,2014-02-03,Male,1988-07-18,27,25 - 45,African-American,0,3,0,0,5,0,2014-02-03 04:18:39,2014-02-06 09:23:08,14001514CF10A,2014-02-03,,0,F,Possession Of Methamphetamine,1,14005642MM10A,(M1),0,2014-04-02,Resist/Obstruct W/O Violence,2014-04-02,2014-04-03,,0,,,,,Risk of Recidivism,3,Low,2014-02-03,Risk of Violence,4,Low,2014-02-03,2014-04-02,2014-04-03,5,3,58,1,1 +4136,charles rigg,charles,rigg,2014-02-20,Male,1990-01-13,26,25 - 45,African-American,0,5,0,2,0,-1,2014-02-19 05:20:26,2014-02-20 02:30:11,14002357CF10A,2014-02-19,,1,F,Traffick Amphetamine 28g><200g,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-20,Risk of Violence,2,Low,2014-02-20,2014-02-19,2014-02-20,0,0,771,0,0 +4137,richard herron,richard,herron,2013-04-09,Male,1992-12-21,23,Less than 25,Caucasian,0,8,0,0,3,-1,2013-04-08 11:23:26,2013-05-14 07:21:35,13006764MO10A,2013-04-08,,1,M,Petit Theft,1,13010412CF10A,(F3),,2013-06-17,Att Burgl Struc/Conv Dwel/Occp,,,,0,,,,,Risk of Recidivism,8,High,2013-04-09,Risk of Violence,5,Medium,2013-04-09,2013-04-08,2013-05-14,3,35,69,1,1 +4139,joseph levins,joseph,levins,2014-06-01,Male,1981-03-16,35,25 - 45,African-American,0,8,1,0,14,-1,2014-05-31 12:32:55,2014-06-01 09:31:08,14008705MM10A,2014-05-31,,1,M,Battery,1,15016457CF10A,(F3),,2015-12-25,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,8,High,2014-06-01,Risk of Violence,5,Medium,2014-06-01,2014-05-31,2014-06-01,14,0,572,1,1 +4140,tammi williams,tammi,williams,2013-04-25,Female,1975-01-06,41,25 - 45,Caucasian,0,1,0,0,1,,,,12015700MM10A,2011-05-26,,700,M,Compulsory Sch Attnd Violation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,,,1,0,1072,0,0 +4141,chad williams,chad,williams,2013-02-20,Male,1979-01-05,37,25 - 45,African-American,0,6,0,0,5,-29,2013-01-22 04:11:17,2013-01-22 05:54:26,13001015CF10A,2013-01-22,,29,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-20,Risk of Violence,4,Low,2013-02-20,2013-01-22,2013-01-22,5,0,1136,0,0 +4143,eric floyd,eric,floyd,2013-12-28,Male,1967-07-12,48,Greater than 45,African-American,0,1,0,0,0,0,2013-12-28 05:20:56,2013-12-30 09:31:15,13017902CF10A,2013-12-28,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,1,Low,2013-12-28,2013-12-28,2013-12-30,0,2,825,0,0 +4144,herman davis,herman,davis,2013-03-22,Male,1994-12-09,21,Less than 25,African-American,0,9,0,1,0,-1,2013-03-21 06:33:48,2013-03-23 07:11:35,13004111CF10A,2013-03-21,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-22,Risk of Violence,9,High,2013-03-22,2013-03-21,2013-03-23,0,1,1106,0,0 +4145,devante nelson,devante,nelson,2014-11-10,Male,1996-09-02,19,Less than 25,African-American,3,10,0,0,3,74,2015-01-23 11:28:30,2015-10-24 08:51:07,14003038CF10A,,2014-03-03,252,F,arrest case no charge,1,15007477CF10A,(F2),13,2015-01-10,Burglary Unoccupied Dwelling,2015-01-23,2015-10-24,,0,,,,,Risk of Recidivism,10,High,2014-11-10,Risk of Violence,10,High,2014-11-10,2015-01-23,2015-10-24,3,0,61,1,1 +4146,maurice walker,maurice,walker,2014-05-16,Male,1994-06-06,21,Less than 25,African-American,0,5,0,0,1,-31,2014-04-15 11:07:02,2014-05-16 10:56:38,14005271CF10A,2014-04-15,,31,F,Aggravated Assault W/Dead Weap,1,15066900TC40A,(M2),96,2015-10-16,Operating W/O Valid License,2016-01-20,2016-02-28,,0,,,,,Risk of Recidivism,5,Medium,2014-05-16,Risk of Violence,5,Medium,2014-05-16,2014-12-24,2015-03-20,1,0,222,0,1 +4152,jorge aragon,jorge,aragon,2013-05-09,Male,1986-08-08,29,25 - 45,Hispanic,0,2,0,1,1,,,,12021485MM10A,2012-10-16,,205,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-09,Risk of Violence,2,Low,2013-05-09,,,1,0,1058,0,0 +4154,otis shelly,otis,shelly,2013-11-25,Male,1964-02-18,52,Greater than 45,African-American,0,1,0,0,1,-21,2013-11-04 12:37:14,2013-11-14 09:19:52,13002077MM10A,,2013-11-03,22,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-04,2013-11-14,1,0,858,0,0 +4155,clinton jones,clinton,jones,2013-09-21,Male,1992-05-11,23,Less than 25,African-American,0,9,0,0,5,256,2014-06-04 11:11:52,2014-06-06 03:17:00,13013304CF10A,2013-09-21,,0,F,"Poss3,4 Methylenedioxymethcath",1,14007788CF10A,(F3),39,2014-04-26,Burglary Conveyance Unoccup,2014-06-04,2014-06-06,,0,,,,,Risk of Recidivism,9,High,2013-09-21,Risk of Violence,9,High,2013-09-21,2015-02-12,2015-10-29,5,0,217,1,1 +4157,terrell mccrea,terrell,mccrea,2014-08-20,Male,1993-11-18,22,Less than 25,African-American,0,4,0,0,0,-1,2014-08-19 12:59:44,2014-08-20 03:50:03,14011335CF10A,2014-08-19,,1,F,Possession of Cocaine,1,14012934MM10A,(M1),0,2014-08-28,Trespass Other Struct/Conve,2014-08-28,2014-08-29,,0,,,,,Risk of Recidivism,4,Low,2014-08-20,Risk of Violence,5,Medium,2014-08-20,2014-08-28,2014-08-29,0,0,8,1,1 +4158,mark girlie,mark,girlie,2014-02-04,Male,1996-10-09,19,Less than 25,African-American,1,10,0,1,1,-40,2013-12-26 11:14:21,2014-01-31 06:41:01,13017159CF10A,,2013-12-26,40,F,arrest case no charge,1,15006535CF10A,(F3),0,2015-05-20,Attempted Escape,2015-05-20,2015-06-21,,1,15013989CF10A,(F3),2015-10-27,Robbery Sudd Snatch No Weapon,Risk of Recidivism,10,High,2014-02-04,Risk of Violence,10,High,2014-02-04,2014-04-09,2014-05-07,1,0,64,0,1 +4159,geoffrey pastor,geoffrey,pastor,2014-04-13,Male,1974-08-07,41,25 - 45,Caucasian,0,2,0,0,1,-1,2014-04-12 07:51:24,2014-04-14 03:01:05,14005151CF10A,2014-04-12,,1,F,Burglary Conveyance Unoccup,1,14010152MM10A,(M2),0,2014-07-01,DWLS Canceled Disqul 1st Off,2014-07-01,2014-07-01,,0,,,,,Risk of Recidivism,2,Low,2014-04-13,Risk of Violence,1,Low,2014-04-13,2014-07-01,2014-07-01,1,1,79,0,1 +4160,dominique dent,dominique,dent,2013-01-31,Female,1991-01-22,25,25 - 45,Caucasian,0,5,0,0,1,-1,2013-01-30 11:27:35,2013-01-31 08:24:37,13002183MM10A,2013-01-30,,1,M,Battery,1,13052541TC20A,(M2),,2013-08-21,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-31,Risk of Violence,4,Low,2013-01-31,2013-01-30,2013-01-31,1,0,202,1,1 +4161,van lewis,van,lewis,2013-03-04,Male,1961-05-27,54,Greater than 45,African-American,0,1,0,0,0,0,2013-03-04 03:35:08,2013-03-04 07:18:36,13004426MM10A,2013-03-04,,0,M,Battery,1,15010370CF10A,(M1),374,2014-12-26,Battery,2016-01-04,2016-01-06,,1,15010370CF10A,(F3),2014-12-26,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2016-01-04,2016-01-06,0,0,662,1,1 +4162,ryan moultrie,ryan,moultrie,2014-12-18,Male,1990-11-22,25,25 - 45,African-American,4,10,0,0,13,-8,2014-12-10 01:16:50,2015-01-15 09:19:25,14016407CF10A,,2014-12-10,8,F,arrest case no charge,1,15004699CF10A,(M1),0,2015-04-09,Resist/Obstruct W/O Violence,2015-04-09,2015-09-16,,0,,,,,Risk of Recidivism,10,High,2014-12-18,Risk of Violence,9,High,2014-12-18,2015-04-09,2015-09-16,13,28,112,1,1 +4163,tyra vanzant,tyra,vanzant,2013-04-21,Female,1985-10-26,30,25 - 45,Caucasian,0,4,0,0,0,,,,,,,,M,,1,13062200TC40A,(M2),0,2013-07-02,Operating W/O Valid License,2013-07-02,2013-09-04,,0,,,,,Risk of Recidivism,4,Low,2013-04-21,Risk of Violence,2,Low,2013-04-21,2013-04-23,2013-05-01,0,0,2,0,1 +4164,nicole magnus,nicole,magnus,2013-01-10,Female,1975-11-12,40,25 - 45,Caucasian,0,4,0,0,4,-1,2013-01-09 03:40:18,2013-01-11 06:28:12,13000361CF10A,2013-01-09,,1,F,Possession of Cocaine,1,15007423CF10A,(F3),0,2015-06-07,Possession of Cocaine,2015-06-07,2015-07-11,,0,,,,,Risk of Recidivism,4,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,2014-07-28,2014-09-23,4,1,564,0,0 +4165,eric mitchell,eric,mitchell,2013-04-13,Male,1993-11-23,22,Less than 25,African-American,0,7,0,0,0,0,2013-04-13 06:02:46,2013-04-24 09:03:40,13005339CF10A,2013-04-13,,0,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-13,Risk of Violence,6,Medium,2013-04-13,2013-04-13,2013-04-24,0,11,1084,0,0 +4168,christopher amity,christopher,amity,2013-08-03,Male,1966-02-11,50,Greater than 45,Caucasian,0,4,0,0,10,-1,2013-08-02 11:21:02,2013-08-03 07:59:48,13010919CF10A,2013-08-02,,1,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-03,Risk of Violence,2,Low,2013-08-03,2013-08-02,2013-08-03,10,0,972,0,0 +4169,joseph sisto,joseph,sisto,2013-01-07,Male,1981-03-26,35,25 - 45,Caucasian,0,3,0,0,2,0,2013-01-07 02:38:57,2013-01-07 09:00:03,13000389MM10A,2013-01-07,,0,M,Battery,1,15007671MM10A,(M2),0,2015-07-18,Disorderly Intoxication,2015-07-18,2015-07-18,,0,,,,,Risk of Recidivism,3,Low,2013-01-07,Risk of Violence,4,Low,2013-01-07,2015-07-18,2015-07-18,2,0,922,0,0 +4170,timothey shimko,timothey,shimko,2013-05-01,Male,1988-04-15,28,25 - 45,Caucasian,0,9,0,0,7,-1,2013-04-30 05:18:55,2013-05-01 09:47:05,13006192CF10A,2013-04-30,,1,F,Felony Battery,1,13012768CF10A,(F3),18,2013-06-09,Grand Theft (Motor Vehicle),2013-06-27,2013-06-30,,0,,,,,Risk of Recidivism,9,High,2013-05-01,Risk of Violence,10,High,2013-05-01,2013-09-21,2013-09-22,7,0,39,1,1 +4171,denzel lewis,denzel,lewis,2014-02-02,Male,1994-06-29,21,Less than 25,African-American,0,7,0,0,0,-1,2014-02-01 03:12:15,2014-02-03 08:44:42,14001445CF10A,2014-02-01,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-02,Risk of Violence,6,Medium,2014-02-02,2014-02-01,2014-02-03,0,1,789,0,0 +4172,kerisha gardner,kerisha,gardner,2014-11-18,Female,1977-09-26,38,25 - 45,Other,0,4,0,0,6,-34,2014-10-15 06:45:23,2014-11-11 02:19:02,14013922CF10A,2014-10-15,,34,F,Burglary Unoccupied Dwelling,1,14018163MM10A,(M1),0,2014-12-29,Viol Injunct Domestic Violence,2014-12-29,2015-05-27,,0,,,,,Risk of Recidivism,4,Low,2014-11-18,Risk of Violence,1,Low,2014-11-18,2014-12-29,2015-05-27,6,0,41,1,1 +4178,ocon sanderns,ocon,sanderns,2013-01-10,Male,1988-04-30,27,25 - 45,Caucasian,0,3,0,0,0,-1,2013-01-09 04:23:59,2013-01-14 03:21:25,13000375CF10A,2013-01-09,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,4,Low,2013-01-10,2013-01-09,2013-01-14,0,4,1177,0,0 +4179,dominick stafford,dominick,stafford,2013-12-21,Male,1994-04-07,22,Less than 25,African-American,0,3,0,0,0,0,2013-12-21 12:23:43,2013-12-21 09:34:56,13017592CF10A,2013-12-20,,1,F,Aggravated Assault W/Dead Weap,1,15003299CF10A,(F3),0,2015-03-11,Possession Of Alprazolam,2015-03-11,2015-03-11,,0,,,,,Risk of Recidivism,3,Low,2013-12-21,Risk of Violence,5,Medium,2013-12-21,2015-03-11,2015-03-11,0,0,445,0,1 +4180,tiffany martinez,tiffany,martinez,2013-04-08,Female,1978-01-26,38,25 - 45,Hispanic,0,9,0,0,20,-1,2013-04-07 07:10:02,2013-04-09 05:16:12,13004994CF10A,2013-04-07,,1,F,Battery on Law Enforc Officer,1,13006243CF10A,(F3),0,2013-05-01,Possession of Cocaine,2013-05-01,2013-08-28,,1,14006707MM10A,(M1),2014-04-22,Battery,Risk of Recidivism,9,High,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-05-01,2013-08-28,20,1,23,1,1 +4181,lucius smith,lucius,smith,2013-10-24,Male,1983-11-04,32,25 - 45,African-American,2,10,0,0,26,-32,2013-09-22 03:03:23,2013-09-23 03:33:44,13013351CF10A,2013-09-22,,32,F,Possession of Cocaine,1,14030871TC10A,(M2),0,2014-08-24,Susp Drivers Lic 1st Offense,2014-08-24,2014-08-29,,0,,,,,Risk of Recidivism,10,High,2013-10-24,Risk of Violence,8,High,2013-10-24,2013-12-27,2014-06-25,26,0,64,0,1 +4182,jerod mcdade,jerod,mcdade,2013-09-04,Male,1984-03-27,32,25 - 45,Caucasian,0,5,0,0,0,0,2013-09-04 02:13:30,2013-09-11 04:08:12,13012496CF10A,2013-09-04,,0,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-04,Risk of Violence,2,Low,2013-09-04,2013-09-04,2013-09-11,0,7,940,0,0 +4183,brian daly,brian,daly,2013-08-22,Male,1956-05-30,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-21 04:14:52,2013-08-22 08:38:16,13011738CF10A,2013-08-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-22,Risk of Violence,1,Low,2013-08-22,2013-08-21,2013-08-22,0,0,953,0,0 +4184,christopher mcdonald,christopher,mcdonald,2014-11-14,Male,1985-12-25,30,25 - 45,Caucasian,0,10,0,0,19,57,2015-01-10 01:52:59,2015-04-02 05:31:10,14012162CF10A,2014-09-06,,69,F,Possession of Cocaine,1,15006918CF10A,(F3),0,2015-05-27,Felony Petit Theft,2015-05-27,2015-05-31,,0,,,,,Risk of Recidivism,10,High,2014-11-14,Risk of Violence,3,Low,2014-11-14,2015-01-10,2015-04-02,19,0,57,0,1 +4185,walder saintelus,walder,saintelus,2014-01-26,Male,1996-01-06,20,Less than 25,Other,0,6,0,0,0,-1,2014-01-25 09:23:28,2014-01-26 08:05:12,14001400MM10A,2014-01-25,,1,M,Battery,1,14014725MM10A,(M1),0,2014-10-07,Possess Cannabis/20 Grams Or Less,2014-10-07,2014-10-08,,0,,,,,Risk of Recidivism,6,Medium,2014-01-26,Risk of Violence,9,High,2014-01-26,2014-10-07,2014-10-08,0,0,254,1,1 +4186,sidney perkins,sidney,perkins,2013-04-30,Male,1956-11-21,59,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-30 02:41:16,2013-04-30 07:55:38,13006208CF10A,2013-04-30,,0,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-30,2013-04-30,0,0,1067,0,0 +4187,sheri kucherick,sheri,kucherick,2014-02-18,Female,1971-10-01,44,25 - 45,Caucasian,0,1,0,0,1,-3,2014-02-15 02:17:57,2014-02-16 08:13:01,14002163CF10A,2014-02-14,,4,F,Battery on Law Enforc Officer,1,14006813MU10A,(M1),0,2014-02-21,DUI - Enhanced,2014-02-21,2014-02-21,,0,,,,,Risk of Recidivism,1,Low,2014-02-18,Risk of Violence,1,Low,2014-02-18,2014-02-21,2014-02-21,1,0,3,0,1 +4189,donald carter,donald,carter,2013-01-05,Male,1989-09-27,26,25 - 45,African-American,0,10,1,1,9,-1,2013-01-04 07:51:12,2013-01-06 03:56:38,13000208MM10A,2013-01-04,,1,M,Resist/Obstruct W/O Violence,1,14001049CF10A,(M1),0,2014-01-24,Resist/Obstruct W/O Violence,2014-01-24,2014-02-04,,0,,,,,Risk of Recidivism,10,High,2013-01-05,Risk of Violence,9,High,2013-01-05,2014-01-24,2014-02-04,9,1,384,1,1 +4190,bradley newton,bradley,newton,2013-03-06,Male,1986-02-03,30,25 - 45,African-American,0,6,1,0,9,-1,2013-03-05 03:52:57,2013-03-06 09:40:14,13003308CF10A,2013-03-05,,1,F,Driving While License Revoked,1,14004876CF10A,(F3),,2014-04-08,Crim Use of Personal ID Info,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-06,Risk of Violence,3,Low,2013-03-06,2013-03-05,2013-03-06,9,0,398,1,1 +4191,vitali kavaliou,vitali,kavaliou,2013-08-07,Female,1981-04-06,35,25 - 45,Caucasian,0,4,0,0,2,,,,13011002CF10A,2013-08-06,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-07,Risk of Violence,2,Low,2013-08-07,,,2,0,968,0,0 +4192,leonce jeudy,leonce,jeudy,2013-03-24,Male,1990-08-27,25,25 - 45,African-American,0,8,1,1,3,0,2013-03-24 01:14:35,2013-03-24 10:44:22,13012410TC10A,2013-03-24,,0,M,Susp Drivers Lic 1st Offense,1,13030224TC10A,(M2),0,2013-07-26,Susp Drivers Lic 1st Offense,2013-07-26,2013-07-26,,0,,,,,Risk of Recidivism,8,High,2013-03-24,Risk of Violence,4,Low,2013-03-24,2013-07-26,2013-07-26,3,0,124,0,1 +4193,victor osejo,victor,osejo,2013-07-29,Male,1971-06-14,44,25 - 45,Hispanic,0,1,0,0,0,-2,2013-07-27 01:40:29,2013-07-28 02:47:19,13014254MM10A,2013-07-27,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-27,2013-07-28,0,0,977,0,0 +4194,andrew jones,andrew,jones,2013-03-04,Male,1975-10-14,40,25 - 45,African-American,0,8,0,0,7,129,2013-07-11 12:59:59,2013-08-16 04:40:46,12018428CF10A,2012-12-17,,77,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-04,Risk of Violence,9,High,2013-03-04,2013-07-11,2013-08-16,7,0,129,0,0 +4195,miazotiann white,miazotiann,white,2013-07-11,Female,1985-01-19,31,25 - 45,African-American,0,6,0,0,0,-2,2013-07-09 03:27:31,2013-07-11 01:36:23,13013042MM10A,2013-07-06,,5,M,Battery,1,14011470MM10A,(M1),0,2014-07-02,Resist/Obstruct W/O Violence,2014-07-02,2014-11-07,,1,14011470MM10A,(M1),2014-07-02,Battery,Risk of Recidivism,6,Medium,2013-07-11,Risk of Violence,4,Low,2013-07-11,2014-07-02,2014-11-07,0,0,356,1,1 +4196,keanne sibblies,keanne,sibblies,2014-01-23,Female,1983-11-17,32,25 - 45,African-American,0,3,0,0,0,-1,2014-01-22 12:13:03,2014-01-23 05:54:47,14000944CF10A,2014-01-22,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-22,2014-01-23,0,0,799,0,0 +4198,alonzo lewis,alonzo,lewis,2013-01-28,Male,1978-06-12,37,25 - 45,African-American,0,9,0,0,22,-1,2013-01-27 01:05:30,2013-04-18 11:07:29,12014999CF10A,,2013-01-28,0,F,arrest case no charge,1,14017897TC10A,(M2),,2014-04-14,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,9,High,2013-01-28,Risk of Violence,6,Medium,2013-01-28,2013-01-27,2013-04-18,22,80,441,1,1 +4199,sean delegal,sean,delegal,2013-08-22,Male,1993-09-01,22,Less than 25,Caucasian,1,4,0,0,2,-1,2013-08-21 01:46:04,2013-08-22 09:03:13,13011660CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2014-08-11,2014-12-23,2,0,354,0,0 +4202,kevin bynes,kevin,bynes,2014-08-22,Male,1978-03-24,38,25 - 45,African-American,0,6,0,0,8,-1,2014-08-21 09:01:29,2014-08-31 04:44:34,14012626MM10A,2014-08-21,,1,M,Unlaw Use False Name/Identity,1,15001346MM10A,(M2),0,2015-02-02,Disorderly Conduct,2015-02-02,2015-02-04,,0,,,,,Risk of Recidivism,6,Medium,2014-08-22,Risk of Violence,7,Medium,2014-08-22,2015-02-02,2015-02-04,8,9,164,1,1 +4203,jason grillo,jason,grillo,2014-02-15,Male,1981-10-07,34,25 - 45,Caucasian,0,4,0,0,2,-1,2014-02-14 09:45:03,2014-02-17 01:11:31,11013444CF10A,,2014-02-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-15,Risk of Violence,2,Low,2014-02-15,2014-02-14,2014-02-17,2,2,776,0,0 +4204,james dameus,james,dameus,2013-12-25,Male,1985-06-09,30,25 - 45,African-American,0,3,1,0,7,-1,2013-12-24 06:07:41,2013-12-26 03:11:34,13017747CF10A,,2013-12-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-25,Risk of Violence,2,Low,2013-12-25,2013-12-24,2013-12-26,7,1,828,0,0 +4205,tara helms,tara,helms,2014-06-01,Female,1977-06-04,38,25 - 45,Caucasian,0,4,0,0,0,-1,2014-05-31 07:26:28,2014-06-01 07:53:06,14007554CF10A,2014-05-31,,1,F,Resist Officer w/Violence,1,14088580TC30A,(M1),,2014-10-18,Temporary Tag Violation,,,,0,,,,,Risk of Recidivism,4,Low,2014-06-01,Risk of Violence,2,Low,2014-06-01,2014-05-31,2014-06-01,0,0,139,1,1 +4207,michael barber,michael,barber,2013-03-09,Male,1979-12-31,36,25 - 45,African-American,0,10,0,0,10,-1,2013-03-08 10:20:39,2013-04-10 05:02:44,13003464CF10A,2013-03-08,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,1,14004546CF10A,(F3),0,2014-04-01,Possession of Cocaine,2014-04-01,2014-07-02,,0,,,,,Risk of Recidivism,10,High,2013-03-09,Risk of Violence,5,Medium,2013-03-09,2013-06-13,2013-06-14,10,32,96,0,1 +4211,nesler dumera,nesler,dumera,2013-09-06,Male,1969-08-24,46,Greater than 45,Other,0,1,0,0,0,0,2013-09-06 01:01:48,2013-09-06 09:07:05,13012561CF10A,2013-09-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-06,2013-09-06,0,0,938,0,0 +4212,kyle awan,kyle,awan,2014-06-05,Male,1993-10-20,22,Less than 25,Native American,0,4,0,2,0,,,,,,,,M,,1,15000144MM30A,(M2),,2015-01-09,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2014-06-05,Risk of Violence,4,Low,2014-06-05,2014-07-23,2014-07-24,0,0,48,0,1 +4217,peter borkowicz,peter,borkowicz,2014-06-07,Male,1980-07-18,35,25 - 45,Caucasian,0,5,0,0,2,0,2014-06-07 03:26:40,2014-06-08 03:06:00,14007890CF10A,2014-06-07,,0,F,Battery On Fire Fighter,1,14012344MM10A,(M1),1,2014-08-15,Battery,2014-08-16,2014-08-17,,1,14012344MM10A,(M1),2014-08-15,Battery,Risk of Recidivism,5,Medium,2014-06-07,Risk of Violence,4,Low,2014-06-07,2014-06-07,2014-06-08,2,1,69,1,1 +4219,jamaal alleyne,jamaal,alleyne,2013-01-13,Male,1981-01-12,35,25 - 45,African-American,0,1,0,0,0,-1,2013-01-12 01:36:43,2013-01-13 01:22:39,13000566CF10A,2013-01-12,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0 +4220,marc cherisnord,marc,cherisnord,2014-08-20,Male,1995-09-04,20,Less than 25,Other,0,6,0,0,1,-1,2014-08-19 05:30:20,2014-08-20 09:15:55,14011343CF10A,2014-08-19,,1,F,Possession Burglary Tools,1,14001885MM30A,(M2),,2014-11-26,Petit Theft,,,,0,,,,,Risk of Recidivism,6,Medium,2014-08-20,Risk of Violence,6,Medium,2014-08-20,2014-08-19,2014-08-20,1,0,98,1,1 +4223,shatara brown,shatara,brown,2013-02-12,Female,1985-11-10,30,25 - 45,African-American,0,9,0,0,9,-1,2013-02-11 03:29:53,2013-10-12 05:40:21,13002100CF10A,2013-02-11,,1,F,Felony Petit Theft,1,14007775MM10A,(M1),0,2014-05-12,Battery,2014-05-12,2014-06-03,,1,14007775MM10A,(M1),2014-05-12,Battery,Risk of Recidivism,9,High,2013-02-12,Risk of Violence,5,Medium,2013-02-12,2014-05-12,2014-06-03,9,242,454,1,1 +4225,marce charles,marce,charles,2013-10-17,Male,1982-03-25,34,25 - 45,African-American,0,9,0,0,16,-1,2013-10-16 08:33:55,2013-10-17 08:51:45,13014475CF10A,2013-10-16,,1,F,Fleeing or Eluding a LEO,1,14016123MM10A,(M1),0,2014-11-09,Unlaw Use False Name/Identity,2014-11-09,2014-11-09,,0,,,,,Risk of Recidivism,9,High,2013-10-17,Risk of Violence,6,Medium,2013-10-17,2014-11-09,2014-11-09,16,0,388,0,1 +4226,mathew breeden,mathew,breeden,2013-07-24,Male,1984-12-03,31,25 - 45,Caucasian,0,4,0,0,3,-19,2013-07-05 01:46:08,2013-07-06 09:09:44,13009450CF10A,2013-07-05,,19,F,Possession of Hydromorphone,1,13015405CF10A,(F3),0,2013-11-05,Possession Of Heroin,2013-11-05,2014-01-10,,0,,,,,Risk of Recidivism,4,Low,2013-07-24,Risk of Violence,2,Low,2013-07-24,2013-11-05,2014-01-10,3,0,104,1,1 +4227,jose pantaleon,jose,pantaleon,2013-11-25,Male,1983-07-24,32,25 - 45,Hispanic,0,1,0,0,0,-1,2013-11-24 05:49:46,2013-11-26 02:16:12,13022076MM10A,2013-11-24,,1,M,Driving Under The Influence,1,14012685CF10A,(F3),0,2014-06-02,Possession Of Methamphetamine,2014-06-02,2014-06-20,,0,,,,,Risk of Recidivism,1,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2014-06-02,2014-06-20,0,1,189,1,1 +4228,thomas fairbrother,thomas,fairbrother,2013-11-28,Male,1985-01-30,31,25 - 45,Caucasian,0,8,1,1,4,0,2013-11-28 02:42:55,2013-11-30 02:26:32,13011876CF10A,,2013-11-28,0,F,arrest case no charge,1,14007947MM10A,(M1),0,2014-05-15,Viol Pretrial Release Dom Viol,2014-05-15,2014-06-12,,1,14016221CF10A,(F7),2014-12-05,Kidnapping / Domestic Violence,Risk of Recidivism,8,High,2013-11-28,Risk of Violence,6,Medium,2013-11-28,2014-05-15,2014-06-12,4,2,168,1,1 +4229,thomas papacosmas,thomas,papacosmas,2013-01-12,Male,1993-04-30,22,Less than 25,Caucasian,0,8,1,1,2,-1,2013-01-11 10:15:34,2013-01-23 08:43:18,13000536CF10A,2013-01-11,,1,F,Possession Of Alprazolam,1,13005285CF10A,(F3),0,2013-04-12,Possession Of Alprazolam,2013-04-12,2013-06-26,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,7,Medium,2013-01-12,2013-04-12,2013-06-26,2,11,90,1,1 +4230,anthony gonzalez,anthony,gonzalez,2013-05-24,Male,1985-03-04,31,25 - 45,Hispanic,0,10,0,0,0,-1,2013-05-23 07:29:12,2013-08-12 07:13:27,13007366CF10A,2013-05-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-05-24,Risk of Violence,7,Medium,2013-05-24,2013-05-23,2013-08-12,0,80,1043,0,0 +4232,dwight gray,dwight,gray,2013-01-24,Male,1979-06-29,36,25 - 45,African-American,0,5,0,0,5,-1,2013-01-23 03:15:23,2013-01-24 06:43:56,13007417MM10A,2013-01-23,,1,M,Battery,1,13012040CF10A,(F2),0,2013-08-26,Aggravated Battery,2013-08-26,2013-09-26,,1,13012040CF10A,(F2),2013-08-26,Aggravated Battery,Risk of Recidivism,5,Medium,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-08-26,2013-09-26,5,0,214,1,1 +4233,andre hamilton,andre,hamilton,2013-01-28,Male,1976-09-22,39,25 - 45,African-American,0,1,0,0,2,-1,2013-01-27 03:53:11,2013-03-15 09:27:18,12059636TC10A,2012-11-11,,78,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-03-15,2,46,1159,0,0 +4235,fred martin,fred,martin,2014-11-05,Male,1964-09-05,51,Greater than 45,African-American,0,9,0,0,9,-1,2014-11-04 01:45:03,2014-12-09 09:38:53,14014806CF10A,2014-11-04,,1,F,Possession of Cocaine,1,15011327CF10A,(F3),,2015-09-02,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,9,High,2014-11-05,Risk of Violence,5,Medium,2014-11-05,2014-11-04,2014-12-09,9,34,301,1,1 +4236,largos stephens,largos,stephens,2014-11-23,Male,1981-01-21,35,25 - 45,African-American,0,2,0,0,7,-1,2014-11-22 04:59:15,2014-11-23 08:06:26,14015755CF10A,2014-11-22,,1,F,Felony Driving While Lic Suspd,1,14044863TC10A,(M1),0,2014-12-02,Opert With Susp DL 2nd Offens,2014-12-02,2014-12-02,,0,,,,,Risk of Recidivism,2,Low,2014-11-23,Risk of Violence,2,Low,2014-11-23,2014-12-02,2014-12-02,7,0,9,0,1 +4238,antoine valmyr,antoine,valmyr,2013-05-17,Male,1985-06-13,30,25 - 45,African-American,0,7,0,0,1,213,2013-12-16 02:30:43,2013-12-16 10:36:57,11018891CF10A,2011-11-16,,548,F,Possession Of Alprazolam,1,13017368CF10A,(M1),1,2013-12-15,Possess Drug Paraphernalia,2013-12-16,2013-12-16,,0,,,,,Risk of Recidivism,7,Medium,2013-05-17,Risk of Violence,5,Medium,2013-05-17,2015-05-20,2015-05-27,1,0,212,1,1 +4239,derek modia,derek,modia,2013-08-28,Male,1981-02-06,35,25 - 45,Hispanic,0,3,0,1,0,-1,2013-08-27 08:38:36,2013-08-29 05:49:45,13012098CF10A,2013-08-27,,1,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-28,Risk of Violence,2,Low,2013-08-28,2013-08-27,2013-08-29,0,1,947,0,0 +4240,asefa penha,asefa,penha,2013-05-24,Male,1993-03-21,23,Less than 25,Hispanic,0,2,0,0,0,-1,2013-05-23 06:57:50,2013-05-24 01:55:29,13007360CF10A,2013-05-23,,1,F,Driving While License Revoked,1,14016868TC20A,(M2),,2014-02-28,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-24,Risk of Violence,4,Low,2013-05-24,2013-05-23,2013-05-24,0,0,280,1,1 +4244,jamie marchessault,jamie,marchessault,2013-08-06,Male,1973-02-11,43,25 - 45,Caucasian,0,1,0,0,3,-54,2013-06-13 01:51:49,2013-07-13 08:02:19,13011282MM10A,2013-06-13,,54,M,Battery,1,13072488TC40A,(M2),,2013-10-15,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-06,Risk of Violence,1,Low,2013-08-06,2013-06-13,2013-07-13,3,0,70,1,1 +4245,bari saunders,bari,saunders,2013-09-23,Male,1978-09-22,37,25 - 45,African-American,0,3,0,0,0,-1,2013-09-22 07:58:55,2013-09-25 02:31:32,13018048MM10A,2013-09-22,,1,M,Contribute Delinquency Of A Minor,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-22,2013-09-25,0,2,921,0,0 +4247,paul roberts,paul,roberts,2013-02-07,Male,1990-08-19,25,25 - 45,African-American,0,6,0,2,3,0,2013-02-07 03:50:07,2013-02-14 08:43:04,13005950TC10A,2010-11-19,,811,M,Oper Motorcycle W/O Valid DL,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-07,Risk of Violence,3,Low,2013-02-07,2014-09-10,2014-09-18,3,7,580,0,0 +4248,adam zayas,adam,zayas,2014-05-02,Male,1983-02-17,33,25 - 45,Hispanic,0,9,0,0,8,-165,2013-11-18 08:15:20,2013-11-19 10:20:32,13016031CF10A,2013-11-18,,165,F,Resist Officer w/Violence,1,15000099CF10A,(F3),1,2015-01-02,Tampering With Physical Evidence,2015-01-03,2015-01-04,,0,,,,,Risk of Recidivism,9,High,2014-05-02,Risk of Violence,4,Low,2014-05-02,2015-10-21,2015-12-04,8,0,245,1,1 +4250,ariana culmer,ariana,culmer,2013-05-27,Female,1989-02-27,27,25 - 45,African-American,0,3,0,0,0,-1,2013-05-26 10:59:20,2013-05-27 06:40:51,13007523CF10A,2013-05-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-27,Risk of Violence,3,Low,2013-05-27,2013-05-26,2013-05-27,0,0,1040,0,0 +4252,raphael cabrices,raphael,cabrices,2013-08-08,Male,1968-04-27,47,Greater than 45,Caucasian,0,1,0,0,2,-25,2013-07-14 06:16:40,2013-07-15 09:09:22,13013312MM10A,2013-07-14,,25,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,2013-07-14,2013-07-15,2,0,967,0,0 +4254,kenneth fennell,kenneth,fennell,2013-12-04,Male,1969-08-15,46,Greater than 45,African-American,0,6,0,0,12,-1,2013-12-03 06:33:18,2013-12-06 05:45:30,13016714CF10A,2013-12-03,,1,M,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-04,Risk of Violence,4,Low,2013-12-04,2014-11-13,2015-01-25,12,2,344,0,0 +4255,maximo diaz,maximo,diaz,2013-04-19,Male,1989-03-14,27,25 - 45,Caucasian,0,5,0,0,0,-1,2013-04-18 10:25:11,2013-04-19 07:26:45,13005567CF10A,2013-04-18,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-19,Risk of Violence,6,Medium,2013-04-19,2013-04-18,2013-04-19,0,0,1078,0,0 +4256,don mixon,don,mixon,2013-11-18,Male,1981-10-18,34,25 - 45,African-American,0,9,0,0,0,-1,2013-11-17 02:12:32,2013-11-19 10:37:14,13015978CF10A,2013-11-17,,1,F,Felony Battery w/Prior Convict,1,14005373CF10A,(F3),0,2014-04-17,Felony Battery (Dom Strang),2014-04-17,2014-04-22,,1,14005373CF10A,(F3),2014-04-17,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2013-11-18,Risk of Violence,8,High,2013-11-18,2014-04-17,2014-04-22,0,1,150,1,1 +4257,jessie davis,jessie,davis,2013-03-23,Male,1985-05-06,30,25 - 45,African-American,0,7,0,0,4,163,2013-09-02 02:00:52,2013-09-03 07:55:00,12023063MM10A,2012-09-20,,184,M,Driving License Suspended,1,13017786MM10A,(M1),0,2013-09-18,Battery,2013-09-18,2013-09-23,,1,13017786MM10A,(M1),2013-09-18,Battery,Risk of Recidivism,7,Medium,2013-03-23,Risk of Violence,5,Medium,2013-03-23,2013-09-02,2013-09-03,4,0,163,0,1 +4258,thomas defelice,thomas,defelice,2014-02-05,Male,1991-02-04,25,25 - 45,Caucasian,0,2,0,0,0,-1,2014-02-04 05:25:58,2014-02-04 08:29:26,14004520MU10A,2014-02-04,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-05,Risk of Violence,3,Low,2014-02-05,2014-02-04,2014-02-04,0,0,786,0,0 +4260,tony lucien,tony,lucien,2013-05-04,Male,1990-03-23,26,25 - 45,African-American,0,5,1,0,5,-1,2013-05-03 04:28:53,2013-05-04 07:11:20,13014746TC20A,,2013-05-03,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-04,Risk of Violence,4,Low,2013-05-04,2013-05-03,2013-05-04,5,0,1063,0,0 +4262,isiah carter,isiah,carter,2013-08-06,Male,1991-04-19,25,25 - 45,African-American,0,4,0,0,1,-18,2013-07-19 08:52:29,2013-07-20 01:04:46,13010165CF10A,2013-07-19,,18,F,Possession of Cocaine,1,13012000CF10A,(F3),0,2013-08-25,Possession of Cocaine,2013-08-25,2013-09-11,,0,,,,,Risk of Recidivism,4,Low,2013-08-06,Risk of Violence,4,Low,2013-08-06,2013-08-25,2013-09-11,1,0,19,1,1 +4265,larry mitchell,larry,mitchell,2014-02-25,Male,1955-07-08,60,Greater than 45,African-American,0,8,0,0,9,-1,2014-02-24 09:52:30,2014-02-25 09:47:44,14002613CF10A,2014-02-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-24,2014-02-25,9,0,766,0,0 +4267,alrick francis,alrick,francis,2013-05-15,Male,1967-02-24,49,Greater than 45,Other,0,1,0,0,0,-1,2013-05-14 01:25:33,2013-05-15 02:11:30,13009335MM10A,2013-05-14,,1,M,Battery,1,13012803MM10A,(M1),1,2013-07-04,Viol Injunction Protect Dom Vi,2013-07-05,2013-07-24,,1,13012803MM10A,(M1),2013-07-04,Battery,Risk of Recidivism,1,Low,2013-05-15,Risk of Violence,1,Low,2013-05-15,2013-07-05,2013-07-24,0,0,50,1,1 +4269,eldrich allen,eldrich,allen,2013-09-14,Male,1985-12-26,30,25 - 45,African-American,0,9,0,0,12,0,2013-09-14 12:49:00,2013-09-14 11:01:32,13012956CF10A,2013-09-13,,1,F,Driving While License Revoked,1,13014322CF10A,(M2),0,2013-10-13,Lve/Scen/Acc/Veh/Prop/Damage,2013-10-13,2014-02-09,,0,,,,,Risk of Recidivism,9,High,2013-09-14,Risk of Violence,3,Low,2013-09-14,2013-10-13,2014-02-09,12,0,29,1,1 +4270,matthew george,matthew,george,2013-07-15,Male,1994-05-19,21,Less than 25,African-American,0,4,0,0,0,-3,2013-07-12 04:13:33,2013-07-13 01:37:10,13009824CF10A,2013-07-12,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-15,Risk of Violence,7,Medium,2013-07-15,2013-07-12,2013-07-13,0,0,991,0,0 +4274,cameron russell,cameron,russell,2013-10-30,Male,1990-05-18,25,25 - 45,African-American,0,8,0,0,4,-1,2013-10-29 11:43:06,2013-10-30 02:02:12,13015103CF10A,2013-10-29,,1,F,Possession of Cocaine,1,14015730TC10A,(M2),0,2014-04-23,Operating W/O Valid License,2014-04-23,2014-07-11,,0,,,,,Risk of Recidivism,8,High,2013-10-30,Risk of Violence,3,Low,2013-10-30,2014-04-23,2014-07-11,4,0,175,1,1 +4275,joseph perez,joseph,perez,2013-05-26,Male,1962-11-12,53,Greater than 45,Caucasian,0,3,0,0,1,283,2014-03-05 12:46:04,2014-04-07 03:13:23,13007573CF10A,,2013-05-26,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2014-03-05,2014-04-07,1,0,283,0,0 +4276,larenz daniel,larenz,daniel,2014-08-08,Male,1994-07-07,21,Less than 25,African-American,0,4,0,0,0,16,2014-08-24 05:26:00,2014-09-24 04:08:57,14010775CF10A,2014-08-07,,1,F,Felony Battery (Dom Strang),1,14011545CF10A,(F2),0,2014-08-24,Sexual Battery / Vict 12 Yrs +,2014-08-24,2014-09-24,,1,14011545CF10A,(F2),2014-08-24,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,4,Low,2014-08-08,Risk of Violence,8,High,2014-08-08,2014-08-24,2014-09-24,0,0,16,1,1 +4280,edwin chaj,edwin,chaj,2013-12-18,Male,1986-09-12,29,25 - 45,Hispanic,0,9,0,0,1,-2,2013-12-16 09:49:44,2013-12-17 08:43:38,13023292MM10A,2013-12-16,,2,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-18,Risk of Violence,3,Low,2013-12-18,2013-12-16,2013-12-17,1,0,835,0,0 +4281,charles major,charles,major,2013-11-14,Male,1986-09-08,29,25 - 45,African-American,0,4,0,0,4,-26,2013-10-19 05:44:44,2013-10-20 05:26:25,13019815MM10A,2013-10-19,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-14,Risk of Violence,2,Low,2013-11-14,2013-10-19,2013-10-20,4,0,869,0,0 +4282,marquis rodriguez,marquis,rodriguez,2014-01-13,Male,1994-09-25,21,Less than 25,Hispanic,0,3,0,0,0,0,2014-01-13 01:33:12,2014-01-14 01:25:50,14000651MM10A,2014-01-13,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-13,Risk of Violence,6,Medium,2014-01-13,2014-01-13,2014-01-14,0,1,809,0,0 +4283,monet walkerfinch,monet,walkerfinch,2013-06-18,Female,1991-10-10,24,Less than 25,African-American,0,7,0,0,2,569,2015-01-08 11:47:35,2015-01-16 08:46:50,12009527MM10A,2012-05-08,,406,M,Battery,1,15000378CF10A,(M1),0,2015-01-08,Criminal Mischief>$200<$1000,2015-01-08,2015-01-16,,1,15000378CF10A,(F2),2015-01-08,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,7,Medium,2013-06-18,Risk of Violence,5,Medium,2013-06-18,2015-01-08,2015-01-16,2,0,569,1,1 +4284,richard fox,richard,fox,2013-12-22,Male,1963-04-08,53,Greater than 45,Other,0,1,0,0,4,-1,2013-12-21 11:39:09,2013-12-22 01:21:28,13017611CF10A,2013-12-21,,1,M,Neglect Child / No Bodily Harm,1,15032395TC20A,(M2),,2015-05-29,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-21,2013-12-22,4,0,523,1,1 +4288,roger nettles,roger,nettles,2013-08-06,Male,1964-12-17,51,Greater than 45,Caucasian,0,1,0,0,2,0,2013-08-06 04:40:40,2013-08-29 04:07:37,13011015CF10A,2013-08-05,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-06,Risk of Violence,1,Low,2013-08-06,2013-08-06,2013-08-29,2,23,969,0,0 +4290,james luxama,james,luxama,2013-01-10,Male,1986-12-19,29,25 - 45,African-American,0,1,0,0,1,0,2013-01-10 03:43:24,2013-01-10 07:10:02,13001781TC10A,2013-01-10,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-10,Risk of Violence,2,Low,2013-01-10,2013-01-10,2013-01-10,1,0,1177,0,0 +4292,samantha baubriant,samantha,baubriant,2013-04-26,Female,1991-12-10,24,Less than 25,Other,0,5,0,0,0,0,2013-04-26 05:00:40,2013-04-26 08:04:26,13006034CF10A,2013-04-25,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2013-04-26,2013-04-26,0,0,1071,0,0 +4293,dale janki,dale,janki,2013-05-04,Male,1992-01-03,24,Less than 25,Other,0,10,1,9,2,-1,2013-05-03 04:21:04,2013-12-31 03:15:29,13006350CF10A,2013-05-03,,1,F,Possession of Cocaine,1,14006960MM10A,(M1),1,2014-04-26,Possess Cannabis/20 Grams Or Less,2014-04-27,2014-04-27,,0,,,,,Risk of Recidivism,10,High,2013-05-04,Risk of Violence,9,High,2013-05-04,2013-05-03,2013-12-31,2,241,357,1,1 +4296,juan moralessantos,juan,moralessantos,2013-02-21,Male,1978-11-24,37,25 - 45,Hispanic,0,2,0,0,5,-1,2013-02-20 05:14:02,2013-02-21 09:26:46,13002600CF10A,2013-02-20,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-20,2013-02-21,5,0,1135,0,0 +4297,austin bennett,austin,bennett,2014-10-24,Male,1996-02-08,20,Less than 25,Caucasian,0,9,0,0,0,-1,2014-10-23 04:53:28,2014-10-23 09:14:20,14014286CF10A,2014-10-23,,1,F,Aiding Escape,1,15009981CF10A,(F3),1,2015-08-02,Grand Theft in the 3rd Degree,2015-08-03,2015-08-04,,0,,,,,Risk of Recidivism,9,High,2014-10-24,Risk of Violence,7,Medium,2014-10-24,2016-03-26,2016-03-27,0,0,282,1,1 +4298,graciela mino,graciela,mino,2013-10-14,Female,1962-02-28,54,Greater than 45,Hispanic,0,1,0,0,2,,,,11050306TC10A,2011-09-14,,761,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,,,2,0,900,0,0 +4299,lina walsh,lina,walsh,2013-04-09,Female,1964-11-17,51,Greater than 45,Caucasian,0,9,0,0,14,,,,12008113CF10A,2012-06-01,,312,F,Traffick Hydrocodone 4g><14g,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-09,Risk of Violence,6,Medium,2013-04-09,2001-02-14,2001-11-04,14,0,1088,0,0 +4300,roy munro,roy,munro,2014-03-12,Male,1962-06-11,53,Greater than 45,Caucasian,0,1,0,0,1,-21,2014-02-19 10:59:41,2014-03-12 11:18:36,14002370CF10A,2014-02-19,,21,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-12,Risk of Violence,1,Low,2014-03-12,2014-02-19,2014-03-12,1,0,751,0,0 +4301,cedrick white,cedrick,white,2014-02-19,Male,1984-05-20,31,25 - 45,African-American,0,3,0,0,2,,,,14001486CF10A,,2014-02-05,14,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-19,Risk of Violence,3,Low,2014-02-19,,,2,0,772,0,0 +4303,cleve george,cleve,george,2013-02-08,Male,1990-11-27,25,25 - 45,African-American,0,8,0,0,5,-1,2013-02-07 03:54:36,2013-03-14 07:25:50,13001902CF10A,2013-02-07,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-08,Risk of Violence,6,Medium,2013-02-08,2013-02-07,2013-03-14,5,34,1148,0,0 +4305,andre viruez,andre,viruez,2013-08-09,Male,1977-11-12,38,25 - 45,Hispanic,0,1,0,0,0,0,2013-08-09 01:10:56,2013-08-10 03:49:00,13015053MM10A,2013-08-08,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-09,Risk of Violence,1,Low,2013-08-09,2013-08-09,2013-08-10,0,1,966,0,0 +4306,benjamin joseph,benjamin,joseph,2013-01-20,Male,1993-11-28,22,Less than 25,African-American,0,10,1,1,3,0,2013-01-20 03:49:43,2013-12-05 06:38:32,13000931CF10A,,2013-01-20,0,F,arrest case no charge,1,13014396CF10A,(F3),,2013-10-08,Battery Upon Detainee,,,,1,13014396CF10A,(F3),2013-10-08,Battery Upon Detainee,Risk of Recidivism,10,High,2013-01-20,Risk of Violence,10,High,2013-01-20,2013-01-20,2013-12-05,3,0,261,1,1 +4307,devonte fowler,devonte,fowler,2013-01-30,Male,1994-06-09,21,Less than 25,African-American,0,8,0,0,1,-1,2013-01-29 01:41:22,2013-02-11 12:05:37,13001435CF10A,2013-01-29,,1,F,Poss/Sell/Del Cocaine 1000FT Sch,1,15005882MM10A,(M1),,2015-05-29,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-01-30,Risk of Violence,8,High,2013-01-30,2014-04-22,2014-05-08,1,12,447,0,0 +4310,lucas freire,lucas,freire,2013-05-24,Male,1994-05-16,21,Less than 25,Caucasian,0,5,0,0,1,-1,2013-05-23 06:53:21,2013-05-28 07:55:25,13007349CF10A,2013-05-23,,1,F,Carrying Concealed Firearm,1,13053411TC20A,(M2),,2013-08-27,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-24,Risk of Violence,6,Medium,2013-05-24,2013-05-23,2013-05-28,1,4,95,1,1 +4311,jeff joseph,jeff,joseph,2014-05-24,Male,1989-01-05,27,25 - 45,African-American,2,8,0,0,6,-1,2014-05-23 06:14:30,2014-05-24 04:36:58,14007217CF10A,2014-05-23,,1,M,Driving License Suspended,1,15053448TC20A,(M1),,2015-09-25,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,8,High,2014-05-24,Risk of Violence,8,High,2014-05-24,2016-03-21,2016-03-22,6,0,489,1,1 +4314,deon daniels,deon,daniels,2014-07-16,Male,1987-09-21,28,25 - 45,African-American,0,7,1,0,14,29,2014-08-14 01:01:25,2014-09-03 09:23:36,13023200MM10A,2013-12-15,,213,M,Resist/Obstruct W/O Violence,1,14011104CF10A,(F3),0,2014-08-14,Grand Theft (Motor Vehicle),2014-08-14,2014-09-03,,1,15009100CF10A,(F3),2015-07-15,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2014-07-16,Risk of Violence,8,High,2014-07-16,2014-08-14,2014-09-03,14,0,29,1,1 +4315,mark gaskins,mark,gaskins,2014-07-29,Male,1967-01-14,49,Greater than 45,African-American,0,4,0,0,6,-1,2014-07-28 03:33:45,2014-07-29 01:53:11,14011498MM10A,2014-07-28,,1,M,Battery,1,16000318MM20A,(M1),,2016-01-27,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2014-07-29,Risk of Violence,1,Low,2014-07-29,2014-07-28,2014-07-29,6,0,547,1,1 +4316,gregory white,gregory,white,2013-05-12,Male,1964-04-09,52,Greater than 45,African-American,0,9,0,0,7,-1,2013-05-11 06:13:07,2013-05-15 05:01:51,98011734CF10A,1998-06-10,,5450,F,Poss/pur/sell/deliver Cocaine,1,14013504CF10A,(F3),,2014-10-02,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,9,High,2013-05-12,Risk of Violence,3,Low,2013-05-12,2014-09-28,2015-04-27,7,3,508,1,1 +4317,juno valdemas,juno,valdemas,2013-03-20,Male,1990-05-20,25,25 - 45,African-American,0,6,0,0,1,-1,2013-03-19 01:12:22,2013-03-20 01:14:42,13005424MM10A,2013-03-19,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,5,Medium,2013-03-20,2013-03-19,2013-03-20,1,0,1108,0,0 +4319,donald carlo,donald,carlo,2013-12-27,Male,1959-12-15,56,Greater than 45,Caucasian,0,4,0,0,2,-4,2013-12-23 09:10:10,2013-12-26 08:40:49,13017686CF10A,2013-12-23,,4,F,Felony/Driving Under Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-27,Risk of Violence,1,Low,2013-12-27,2013-12-23,2013-12-26,2,0,826,0,0 +4320,cemar knight,cemar,knight,2013-05-03,Male,1982-01-07,34,25 - 45,African-American,0,9,0,0,22,-29,2013-04-04 05:00:38,2013-04-06 04:51:59,13005984CF10A,2013-04-04,,29,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-03,Risk of Violence,4,Low,2013-05-03,2013-12-03,2013-12-11,22,0,214,0,0 +4322,marco logatti,marco,logatti,2013-12-05,Male,1980-11-15,35,25 - 45,Hispanic,0,7,0,0,7,0,2013-12-05 02:13:10,2013-12-06 04:02:34,13016996CF10A,,2013-12-05,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-05,Risk of Violence,4,Low,2013-12-05,2013-12-20,2014-03-12,7,1,15,0,0 +4323,vivaldo mascarenhas,vivaldo,mascarenhas,2013-10-03,Male,1992-08-02,23,Less than 25,African-American,0,3,0,0,1,-27,2013-09-06 03:25:41,2013-09-07 04:52:27,13014076MO10A,,2013-09-06,27,M,arrest case no charge,1,14033442TC30A,(M2),,2014-04-02,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-03,Risk of Violence,4,Low,2013-10-03,2013-09-06,2013-09-07,1,0,181,1,1 +4324,colby lecain,colby,lecain,2013-06-24,Male,1993-10-06,22,Less than 25,Caucasian,0,5,0,2,0,-3,2013-06-21 12:31:31,2013-06-21 07:33:13,13008728CF10A,2013-06-20,,4,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-24,Risk of Violence,6,Medium,2013-06-24,2013-12-10,2013-12-19,0,0,169,0,0 +4328,lynval chambers,lynval,chambers,2013-04-24,Male,1993-01-30,23,Less than 25,African-American,0,8,0,0,0,-1,2013-04-23 06:47:37,2013-04-25 08:21:03,13005808CF10A,2013-04-23,,1,F,Grand Theft in the 3rd Degree,1,14005363CF10A,(F1),23,2014-01-09,Robbery W/Firearm,2014-02-01,2014-02-06,,1,14005363CF10A,(F1),2014-01-09,Robbery W/Firearm,Risk of Recidivism,8,High,2013-04-24,Risk of Violence,8,High,2013-04-24,2013-05-15,2013-06-22,0,1,21,0,1 +4329,aubray mathis,aubray,mathis,2013-09-27,Male,1985-08-22,30,25 - 45,African-American,0,10,0,0,4,-1,2013-09-26 07:37:18,2013-11-19 09:00:53,13018331MM10A,2013-09-26,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-27,Risk of Violence,6,Medium,2013-09-27,2013-09-26,2013-11-19,4,53,917,0,0 +4330,damon nicholas,damon,nicholas,2014-03-27,Male,1973-10-18,42,25 - 45,African-American,0,6,0,0,1,0,2014-03-27 02:19:13,2014-04-02 05:22:52,14005328MM10A,2014-03-27,,0,M,Viol Pretrial Release Dom Viol,1,14011319CF10A,(F3),0,2014-07-17,Felony Battery w/Prior Convict,2014-07-17,2014-12-19,,1,14011319CF10A,(F3),2014-07-17,Felony Battery w/Prior Convict,Risk of Recidivism,6,Medium,2014-03-27,Risk of Violence,3,Low,2014-03-27,2014-04-17,2014-04-25,1,6,21,0,1 +4331,john grant,john,grant,2013-01-07,Male,1966-03-04,50,Greater than 45,African-American,0,8,0,2,24,0,2013-01-07 02:25:09,2013-02-08 11:34:13,13001089TC10A,2013-01-06,,1,M,Susp Drivers Lic 1st Offense,1,13012698MM10A,(M2),0,2013-07-03,Criminal Mischief Damage <$200,2013-07-03,2013-09-04,,1,15007894CF10A,(F3),2015-06-18,Robbery Sudd Snatch No Weapon,Risk of Recidivism,8,High,2013-01-07,Risk of Violence,8,High,2013-01-07,2013-04-04,2013-05-22,24,32,87,0,1 +4332,kenneth kaplan,kenneth,kaplan,2013-04-18,Male,1961-11-27,54,Greater than 45,Caucasian,0,7,0,0,12,-58,2013-02-19 10:26:08,2013-02-25 08:50:45,13002507CF10A,2013-02-19,,58,F,Possession of Hydrocodone,1,14001664MM40A,(M1),,2014-03-22,Trespass Other Struct/Conve,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-18,Risk of Violence,3,Low,2013-04-18,2014-02-03,2014-02-07,12,0,291,0,1 +4333,deamon anglin,deamon,anglin,2013-08-13,Male,1978-12-03,37,25 - 45,Other,0,1,0,0,4,-1,2013-08-12 03:16:13,2013-08-14 05:04:24,12025993MM10A,,2013-08-12,1,M,arrest case no charge,1,15046685TC40A,(M2),,2015-08-01,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,2013-08-12,2013-08-14,4,1,718,1,1 +4335,oceal brown,oceal,brown,2013-10-30,Male,1978-11-14,37,25 - 45,African-American,0,9,0,0,0,-1,2013-10-29 08:50:13,2013-10-30 08:06:26,13015079CF10A,2013-10-29,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-30,Risk of Violence,3,Low,2013-10-30,2016-02-02,2016-02-10,0,0,825,0,0 +4336,marvis washington,marvis,washington,2013-11-04,Male,1992-08-28,23,Less than 25,African-American,0,4,0,0,1,0,2013-11-04 05:37:01,2013-11-05 03:43:13,13015359CF10A,2013-11-04,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-04,Risk of Violence,5,Medium,2013-11-04,2013-11-04,2013-11-05,1,1,879,0,0 +4337,anthony phillips,anthony,phillips,2013-01-27,Male,1974-07-13,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-26 05:52:41,2013-01-27 08:13:40,13001282CF10A,2013-01-26,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-27,Risk of Violence,1,Low,2013-01-27,2013-01-26,2013-01-27,0,0,1160,0,0 +4338,louis smith,louis,smith,2013-09-26,Male,1965-11-24,50,Greater than 45,African-American,1,2,0,0,5,29,2013-10-25 12:48:33,2013-11-26 02:04:24,13005180CF10A,2013-04-10,,169,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2013-10-25,2013-11-26,5,0,29,0,0 +4339,david otero,david,otero,2014-12-26,Male,1974-05-14,41,25 - 45,Hispanic,0,10,0,0,19,-1,2014-12-25 06:50:18,2015-02-06 05:56:01,14017039CF10A,2014-12-25,,1,F,Felony Petit Theft,1,15001917CF10A,(F2),0,2015-02-10,Throw Deadly Missile Into Veh,2015-02-10,2015-03-16,,1,15001917CF10A,(F2),2015-02-10,Throw Deadly Missile Into Veh,Risk of Recidivism,10,High,2014-12-26,Risk of Violence,9,High,2014-12-26,2015-02-10,2015-03-16,19,42,46,1,1 +4340,kesnel despinasse,kesnel,despinasse,2014-12-21,Male,1990-02-20,26,25 - 45,African-American,0,2,0,0,2,-1,2014-12-20 06:11:25,2014-12-24 09:21:59,14016837CF10A,2014-12-20,,1,F,Grand Theft (Motor Vehicle),1,16002903MM10A,(M2),0,2016-03-04,Unlaw LicTag/Sticker Attach,2016-03-04,2016-03-05,,0,,,,,Risk of Recidivism,2,Low,2014-12-21,Risk of Violence,2,Low,2014-12-21,2016-03-04,2016-03-05,2,3,439,1,1 +4341,christopher sinclair,christopher,sinclair,2013-12-14,Male,1976-02-07,40,25 - 45,Other,0,7,0,0,8,-1,2013-12-13 03:49:59,2014-01-22 08:33:50,13017253CF10A,2013-12-13,,1,F,Possession of Cocaine,1,14004730CF10A,(F3),0,2014-04-05,Battery on a Person Over 65,2014-04-05,2015-03-10,,1,14004730CF10A,(F3),2014-04-05,Battery on a Person Over 65,Risk of Recidivism,7,Medium,2013-12-14,Risk of Violence,4,Low,2013-12-14,2014-04-05,2015-03-10,8,39,112,1,1 +4342,wilford morgan,wilford,morgan,2013-09-08,Male,1993-03-12,23,Less than 25,African-American,0,8,0,0,2,-1,2013-09-07 06:21:45,2013-09-14 04:31:08,13012665CF10A,2013-09-07,,1,F,"Poss3,4 Methylenedioxymethcath",1,14015603MM10A,(M1),0,2014-10-28,Resist/Obstruct W/O Violence,2014-10-28,2014-12-19,,0,,,,,Risk of Recidivism,8,High,2013-09-08,Risk of Violence,9,High,2013-09-08,2013-10-25,2013-11-12,2,6,47,0,1 +4346,james clowers,james,clowers,2014-05-24,Male,1960-10-20,55,Greater than 45,Caucasian,0,2,0,0,1,-1,2014-05-23 08:03:11,2014-06-25 09:24:43,14007209CF10A,,2014-05-23,1,F,arrest case no charge,1,14011610MM10A,(M2),0,2014-07-30,Petit Theft,2014-07-30,2014-08-26,,0,,,,,Risk of Recidivism,2,Low,2014-05-24,Risk of Violence,1,Low,2014-05-24,2014-07-30,2014-08-26,1,32,67,1,1 +4348,anthony spencer,anthony,spencer,2014-10-05,Male,1991-09-04,24,Less than 25,African-American,0,6,0,0,0,-1,2014-10-04 09:27:31,2014-10-06 04:37:18,14013403CF10A,2014-10-04,,1,F,Grand Theft in the 3rd Degree,1,15002401CF10A,(F3),0,2015-02-20,Uttering a Forged Instrument,2015-02-20,2015-02-21,,0,,,,,Risk of Recidivism,6,Medium,2014-10-05,Risk of Violence,4,Low,2014-10-05,2015-02-20,2015-02-21,0,1,138,1,1 +4353,jonathan tovar,jonathan,tovar,2014-03-30,Male,1982-05-04,33,25 - 45,Caucasian,0,1,1,0,5,-1,2014-03-29 06:34:06,2014-03-30 08:18:33,14005414MM10A,2014-03-29,,1,M,Battery,1,14008670MM10A,(M1),0,2014-05-30,Viol Pretrial Release Dom Viol,2014-05-30,2014-06-09,,0,,,,,Risk of Recidivism,1,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-05-30,2014-06-09,5,0,61,1,1 +4356,sebastian bocanegra,sebastian,bocanegra,2013-10-02,Male,1992-05-06,23,Less than 25,Caucasian,0,2,0,0,0,-1,2013-10-01 06:26:22,2013-10-02 07:41:14,13013795CF10A,2013-10-01,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,4,Low,2013-10-02,2013-10-01,2013-10-02,0,0,912,0,0 +4357,ulysses johnson,ulysses,johnson,2014-01-13,Male,1978-10-26,37,25 - 45,African-American,0,7,0,0,1,-3,2014-01-10 09:06:32,2014-01-11 01:36:08,14001420TC10A,2014-01-10,,3,M,Driving License Suspended,1,15018252TC30A,(M2),,2015-03-03,Disobey Officer/Fireman,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-13,Risk of Violence,3,Low,2014-01-13,2014-01-10,2014-01-11,1,0,414,1,1 +4358,rajdaye maharajh,rajdaye,maharajh,2013-10-22,Female,1951-05-12,64,Greater than 45,Other,0,1,0,0,0,-1,2013-10-21 11:27:18,2013-10-22 01:59:46,13014719CF10A,2013-10-21,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-10-22,0,0,892,0,0 +4360,charles delisi,charles,delisi,2013-08-12,Male,1964-05-10,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-11 08:16:15,2013-08-12 07:21:52,13015168MM10A,2013-08-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-12,Risk of Violence,1,Low,2013-08-12,2013-08-11,2013-08-12,0,0,963,0,0 +4362,reyaz blackett,reyaz,blackett,2013-02-26,Male,1975-05-10,40,25 - 45,Other,0,1,0,0,4,-1,2013-02-25 07:48:20,2013-03-13 06:01:51,13002871CF10A,2013-02-25,,1,F,Agg Battery Grt/Bod/Harm,1,14005611CF10A,(F3),0,2014-04-22,Burglary Structure Unoccup,2014-04-22,2014-04-23,,0,,,,,Risk of Recidivism,1,Low,2013-02-26,Risk of Violence,1,Low,2013-02-26,2014-04-22,2014-04-23,4,15,420,1,1 +4365,robert roser,robert,roser,2013-09-25,Male,1972-08-01,43,25 - 45,Caucasian,0,5,0,0,1,,,,12018010CF10A,2012-12-10,,289,F,Del Morphine at/near Park,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-25,Risk of Violence,3,Low,2013-09-25,,,1,0,919,0,0 +4367,shanta jackson,shanta,jackson,2013-05-06,Female,1980-05-23,35,25 - 45,African-American,0,6,0,0,3,0,2013-05-06 03:16:04,2013-05-07 02:38:52,13008750MM10A,2013-05-06,,0,M,Battery,1,13017067CF10A,(F2),26,2013-11-14,Aggrav Battery w/Deadly Weapon,2013-12-10,2013-12-11,,1,13017067CF10A,(F2),2013-11-14,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-05-06,Risk of Violence,3,Low,2013-05-06,2013-05-06,2013-05-07,3,1,192,1,1 +4368,adrian santiago,adrian,santiago,2014-08-24,Male,1993-06-02,22,Less than 25,Hispanic,0,4,0,0,1,-1,2014-08-23 10:20:24,2014-08-25 03:35:20,14011486CF10A,2014-08-23,,1,F,Grand Theft in the 3rd Degree,1,15000051MM40A,(M1),,2014-12-03,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2014-08-24,Risk of Violence,5,Medium,2014-08-24,2014-08-23,2014-08-25,1,1,101,1,1 +4370,kenneth goodman,kenneth,goodman,2013-02-09,Male,1986-12-08,29,25 - 45,African-American,0,9,0,0,2,0,2013-02-09 12:03:25,2013-07-19 12:35:09,13001981CF10A,2013-02-08,,1,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2014-02-19,2014-04-11,2,160,375,0,0 +4371,michael higgins,michael,higgins,2014-01-06,Male,1959-01-27,57,Greater than 45,Caucasian,0,1,0,0,0,-3,2014-01-03 04:30:49,2014-01-05 01:29:28,14000123MM10A,2014-01-03,,3,M,Prowling/Loitering,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-03,2014-01-05,0,0,816,0,0 +4372,keith thorpe,keith,thorpe,2013-11-26,Male,1995-07-14,20,Less than 25,African-American,0,5,1,2,1,0,2013-11-26 02:25:13,2013-11-26 08:33:05,13022219MM10A,2013-11-25,,1,M,Battery,1,14000486MM20A,(M2),,2014-01-24,Petit Theft,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-26,Risk of Violence,8,High,2013-11-26,2014-05-06,2014-07-01,1,0,59,1,1 +4375,jose ortiz,jose,ortiz,2014-01-06,Male,1978-11-17,37,25 - 45,Caucasian,0,5,0,0,1,-203,2013-06-17 12:51:06,2013-06-17 08:23:52,13011612MO10A,2013-06-16,,204,M,Disorderly Conduct,1,15008312CF10A,(M2),1,2015-06-26,Renting For Prostitution,2015-06-27,2015-07-29,,1,14016795MO10A,(MO3),2014-10-27,DOC/Engage In Fighting,Risk of Recidivism,5,Medium,2014-01-06,Risk of Violence,2,Low,2014-01-06,2015-08-18,2015-08-19,1,0,536,1,1 +4376,rosetta francis,rosetta,francis,2014-02-16,Female,1992-12-21,23,Less than 25,Other,0,5,0,0,0,-1,2014-02-15 11:55:36,2014-02-16 09:24:05,14002663MM10A,2014-02-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-16,Risk of Violence,5,Medium,2014-02-16,2014-02-15,2014-02-16,0,0,775,0,0 +4377,jajuan holston,jajuan,holston,2014-11-01,Male,1992-08-07,23,Less than 25,African-American,0,8,0,0,3,-1,2014-10-31 06:08:57,2015-01-30 10:40:04,12003670CF10A,,2014-11-01,0,F,arrest case no charge,1,15006706CF10A,(M1),0,2015-05-23,Possess Drug Paraphernalia,2015-05-23,2015-09-24,,0,,,,,Risk of Recidivism,8,High,2014-11-01,Risk of Violence,9,High,2014-11-01,2015-05-23,2015-09-24,3,90,203,1,1 +4378,steven bolinder,steven,bolinder,2014-08-27,Male,1979-09-23,36,25 - 45,Caucasian,0,4,0,0,9,0,2014-08-27 04:04:55,2014-08-28 09:08:32,08025512TC10A,,2008-09-15,2172,M,arrest case no charge,1,16001722TC20A,(M2),,2015-12-14,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2014-08-27,Risk of Violence,3,Low,2014-08-27,2014-08-27,2014-08-28,9,1,474,1,1 +4381,lee wechsler,lee,wechsler,2013-07-22,Male,1960-04-26,55,Greater than 45,Caucasian,0,1,0,0,1,-3,2013-07-19 10:31:24,2013-07-20 01:24:07,13013759MM10A,2013-07-19,,3,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-22,Risk of Violence,1,Low,2013-07-22,2013-07-19,2013-07-20,1,0,984,0,0 +4383,vernon johnson,vernon,johnson,2013-02-18,Male,1962-11-10,53,Greater than 45,African-American,0,7,0,0,18,-1,2013-02-17 04:32:19,2013-03-30 09:14:32,13003405MM10A,2013-02-17,,1,M,Unlaw Use False Name/Identity,1,13009318MM10A,(M1),0,2013-05-14,Unlaw Use False Name/Identity,2013-05-14,2013-11-11,,0,,,,,Risk of Recidivism,7,Medium,2013-02-18,Risk of Violence,1,Low,2013-02-18,2013-05-14,2013-11-11,18,40,85,1,1 +4384,jonray archibald,jonray,archibald,2014-03-07,Male,1994-10-12,21,Less than 25,African-American,0,9,0,0,1,-1,2014-03-06 12:32:09,2014-03-07 08:52:30,14003173CF10A,2014-03-06,,1,F,Pos Cannabis W/Intent Sel/Del,1,14004642MM10A,(M1),0,2014-03-17,Trespass Struct/Convey Occupy,2014-03-17,2014-03-17,,0,,,,,Risk of Recidivism,9,High,2014-03-07,Risk of Violence,8,High,2014-03-07,2014-03-17,2014-03-17,1,0,10,0,1 +4385,edwin etienne,edwin,etienne,2013-12-27,Male,1988-11-27,27,25 - 45,African-American,0,3,0,0,3,-1,2013-12-26 05:45:05,2014-01-07 09:48:03,13023806MM10A,2013-12-26,,1,M,Battery,1,14006769CF10A,(F3),0,2014-05-15,Unauth Poss ID Card or DL,2014-05-15,2014-07-04,,0,,,,,Risk of Recidivism,3,Low,2013-12-27,Risk of Violence,3,Low,2013-12-27,2014-05-15,2014-07-04,3,11,139,1,1 +4387,leroy anglin,leroy,anglin,2013-11-13,Male,1987-10-09,28,25 - 45,African-American,0,9,1,0,6,-1,2013-11-12 07:13:43,2013-11-15 04:09:00,13015719CF10A,2013-11-12,,1,F,Grand Theft in the 3rd Degree,1,15016610CF10A,(F2),,2015-11-11,Aggravated Battery / Pregnant,,,,1,15016610CF10A,(F2),2015-11-11,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-11-13,Risk of Violence,8,High,2013-11-13,2015-03-12,2015-03-13,6,2,484,0,1 +4388,kyle kane,kyle,kane,2013-03-11,Male,1989-06-28,26,25 - 45,Caucasian,0,3,0,0,1,-1,2013-03-10 07:43:30,2013-03-11 02:01:51,13002561CF10A,,2013-03-10,1,F,arrest case no charge,1,13004375CF10A,(F3),0,2013-03-26,"Deliver 3,4 Methylenediox",2013-03-26,2013-03-27,,0,,,,,Risk of Recidivism,3,Low,2013-03-11,Risk of Violence,4,Low,2013-03-11,2013-03-26,2013-03-27,1,0,15,1,1 +4389,michael hatcher,michael,hatcher,2014-02-08,Male,1991-01-07,25,25 - 45,Caucasian,0,6,0,0,1,-1,2014-02-07 09:17:42,2014-02-08 10:18:18,14001754CF10A,2014-02-07,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-08,Risk of Violence,3,Low,2014-02-08,2015-07-24,2015-08-03,1,0,531,0,0 +4390,john deprima,john,deprima,2014-02-01,Male,1949-05-11,66,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-31 03:48:54,2014-02-01 10:09:47,14001409CF10A,2014-01-31,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-01,Risk of Violence,1,Low,2014-02-01,2014-01-31,2014-02-01,0,0,790,0,0 +4391,leonard daley,leonard,daley,2013-04-14,Male,1987-09-15,28,25 - 45,African-American,0,2,0,0,3,0,2013-04-14 03:12:34,2013-04-14 07:22:40,13005373CF10A,2013-04-14,,0,M,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-14,Risk of Violence,2,Low,2013-04-14,2013-04-14,2013-04-14,3,0,1083,0,0 +4393,travis smith,travis,smith,2013-05-22,Male,1994-06-27,21,Less than 25,African-American,0,4,0,0,0,523,2014-10-27 12:59:55,2015-02-22 04:37:42,13007318CF10A,2013-05-21,,1,F,Grand Theft in the 3rd Degree,1,14014445CF10A,(F3),0,2014-10-27,Pos Cannabis W/Intent Sel/Del,2014-10-27,2015-02-22,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,6,Medium,2013-05-22,2014-10-27,2015-02-22,0,0,523,1,1 +4394,trevon madison,trevon,madison,2013-10-07,Male,1991-09-02,24,Less than 25,African-American,0,5,0,0,0,-2,2013-10-05 12:06:59,2013-10-06 08:54:21,13018920MM10A,2013-10-04,,3,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-10-05,2013-10-06,0,0,907,0,0 +4396,howard babitz,howard,babitz,2014-04-07,Male,1955-06-20,60,Greater than 45,Caucasian,0,2,0,0,18,-26,2014-03-12 02:34:37,2014-03-15 06:33:39,14009911MU10A,2014-03-12,,26,M,Driving Under The Influence,1,15002014MM30A,(M2),,2015-12-16,Obstuct By Solicitation,,,,0,,,,,Risk of Recidivism,2,Low,2014-04-07,Risk of Violence,3,Low,2014-04-07,2014-03-12,2014-03-15,18,0,618,1,1 +4397,ivan lubin,ivan,lubin,2014-08-13,Male,1979-04-15,37,25 - 45,African-American,0,4,0,0,2,-1,2014-08-12 10:31:25,2014-08-13 01:41:00,14011026CF10A,2014-08-12,,1,F,Driving While License Revoked,1,14012673CF10A,(F3),0,2014-09-18,Driving While License Revoked,2014-09-18,2014-09-19,,0,,,,,Risk of Recidivism,4,Low,2014-08-13,Risk of Violence,2,Low,2014-08-13,2014-09-18,2014-09-19,2,0,36,1,1 +4398,ernest forestal,ernest,forestal,2013-01-29,Male,1993-01-15,23,Less than 25,African-American,0,9,0,0,2,,,,12022160MM10A,2012-10-25,,96,M,Giving False Crime Report,1,13021347MM10A,(M1),,2013-09-14,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,9,High,2013-01-29,Risk of Violence,8,High,2013-01-29,,,2,0,228,1,1 +4400,richard kirk,richard,kirk,2014-03-27,Male,1943-01-11,73,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-26 01:18:07,2014-03-27 01:44:58,14005228MM10A,2014-03-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-27,Risk of Violence,1,Low,2014-03-27,2014-03-26,2014-03-27,0,0,736,0,0 +4401,solomon mccarter,solomon,mccarter,2013-11-24,Male,1971-09-24,44,25 - 45,African-American,0,2,0,0,0,-1,2013-11-23 03:13:53,2013-11-25 09:02:22,13016444CF10A,,2013-11-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-24,Risk of Violence,1,Low,2013-11-24,2013-11-23,2013-11-25,0,1,859,0,0 +4402,carlos perezzambrano,carlos,perezzambrano,2013-11-14,Male,1973-10-30,42,25 - 45,Hispanic,0,1,0,0,0,0,2013-11-14 05:48:10,2013-11-18 07:36:03,13021457MM10A,2013-11-14,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-14,2013-11-18,0,4,869,0,0 +4403,jason howell,jason,howell,2014-03-20,Male,1976-02-01,40,25 - 45,African-American,0,7,0,0,6,-1,2014-03-19 04:33:21,2014-03-21 02:41:52,14003853CF10A,2014-03-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-20,Risk of Violence,4,Low,2014-03-20,2014-03-19,2014-03-21,6,1,743,0,0 +4404,deondra porter,deondra,porter,2014-01-23,Female,1988-01-17,28,25 - 45,African-American,0,10,0,0,0,391,2015-02-18 04:23:50,2015-02-25 01:47:30,14000973CF10A,2014-01-22,,1,F,Felony Committing Prostitution,1,15002030MM10A,(M1),0,2015-02-18,Unlaw Use False Name/Identity,2015-02-18,2015-02-25,,0,,,,,Risk of Recidivism,10,High,2014-01-23,Risk of Violence,6,Medium,2014-01-23,2015-02-18,2015-02-25,0,0,391,1,1 +4406,nathaniel echevarria,nathaniel,echevarria,2013-04-24,Male,1995-01-12,21,Less than 25,Hispanic,0,10,0,0,0,0,2013-04-24 03:00:42,2013-05-01 04:39:21,13005900CF10A,2013-04-23,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-24,Risk of Violence,8,High,2013-04-24,2013-07-17,2013-07-24,0,7,84,0,0 +4407,frederick bedell,frederick,bedell,2013-01-03,Male,1959-11-28,56,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-01-01 12:26:08,2013-01-02 07:32:07,13000025MM10A,2012-12-31,,3,M,Battery,1,14006576MM10A,(M1),0,2014-04-19,Resist/Obstruct W/O Violence,2014-04-19,2014-04-20,,1,14014539CF10A,(F2),2014-10-29,Aggravated Battery / Pregnant,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2014-04-19,2014-04-20,0,0,471,1,1 +4408,jermaine buchanan,jermaine,buchanan,2013-01-03,Male,1973-11-15,42,25 - 45,African-American,0,1,0,0,3,-1,2013-01-02 09:17:36,2013-01-03 11:24:54,13000072CF10A,2013-01-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-02,2013-01-03,3,0,1184,0,0 +4409,jason operle,jason,operle,2013-03-07,Male,1983-06-30,32,25 - 45,Caucasian,1,10,0,0,11,149,2013-08-03 12:22:24,2014-06-14 05:58:54,12002899CF10A,,2012-10-31,127,F,arrest case no charge,1,13014694MM10A,(M1),1,2013-08-02,Possess Cannabis/20 Grams Or Less,2013-08-03,2014-06-14,,0,,,,,Risk of Recidivism,10,High,2013-03-07,Risk of Violence,10,High,2013-03-07,2015-07-07,2015-11-02,11,0,148,1,1 +4411,david garrison,david,garrison,2013-01-15,Male,1966-01-13,50,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-01-14 11:58:48,2013-01-16 08:10:14,10018309CF10A,,2013-01-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-15,Risk of Violence,1,Low,2013-01-15,2013-01-14,2013-01-16,1,1,1172,0,0 +4414,jesus guzmansilva,jesus,guzmansilva,2014-02-16,Male,1981-12-09,34,25 - 45,Caucasian,0,2,0,0,0,-1,2014-02-15 08:15:10,2014-02-16 09:38:43,14002644MM10A,2014-02-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-16,Risk of Violence,2,Low,2014-02-16,2014-02-15,2014-02-16,0,0,775,0,0 +4415,rodney monroe,rodney,monroe,2014-03-21,Male,1968-12-13,47,Greater than 45,African-American,0,1,0,0,1,-1,2014-03-20 02:12:50,2014-03-22 03:16:24,14004872MM10A,2014-03-20,,1,M,Battery,1,15008617CF10A,(F3),0,2015-07-05,Grand Theft in the 3rd Degree,2015-07-05,2015-07-06,,1,15008617CF10A,(F3),2015-07-05,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2014-03-21,Risk of Violence,1,Low,2014-03-21,2015-07-05,2015-07-06,1,1,471,1,1 +4416,charles laurie,charles,laurie,2013-12-19,Male,1957-09-11,58,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-12-18 01:38:23,2013-12-20 08:48:46,13017461CF10A,2013-12-18,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-19,Risk of Violence,1,Low,2013-12-19,2013-12-18,2013-12-20,3,1,834,0,0 +4418,erik wantuck,erik,wantuck,2013-07-05,Male,1967-08-30,48,Greater than 45,Caucasian,0,4,0,0,3,-7,2013-06-28 02:46:46,2013-06-28 08:24:49,13009140CF10A,2013-06-28,,7,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-05,Risk of Violence,1,Low,2013-07-05,2015-05-06,2015-05-07,3,0,670,0,0 +4419,christina ramage,christina,ramage,2014-01-27,Female,1996-01-08,20,Less than 25,Caucasian,0,3,0,0,0,-2,2014-01-25 11:11:50,2014-01-26 02:05:49,14001095CF10A,2014-01-25,,2,F,Grand Theft in the 3rd Degree,1,16002393MM10A,(M2),0,2016-03-13,Criminal Mischief Damage <$200,2016-03-13,2016-03-16,,1,16002393MM10A,(M1),2016-03-13,Battery,Risk of Recidivism,3,Low,2014-01-27,Risk of Violence,6,Medium,2014-01-27,2016-03-13,2016-03-16,0,0,776,1,0 +4421,stephanie johnson,stephanie,johnson,2013-04-28,Female,1962-05-19,53,Greater than 45,African-American,0,2,0,0,10,-1,2013-04-27 09:25:05,2013-05-01 10:14:41,13006067CF10A,2013-04-27,,1,F,Aggravated Assault W/dead Weap,1,14009784CF10A,(F3),0,2014-07-17,Driving While License Revoked,2014-07-17,2014-07-18,,0,,,,,Risk of Recidivism,2,Low,2013-04-28,Risk of Violence,1,Low,2013-04-28,2014-07-17,2014-07-18,10,3,445,1,1 +4422,antwon jenkins,antwon,jenkins,2013-11-17,Male,1987-01-13,29,25 - 45,African-American,0,9,0,0,0,-1,2013-11-16 08:17:51,2013-11-17 08:20:01,13015943CF10A,2013-11-16,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-17,Risk of Violence,6,Medium,2013-11-17,2013-11-16,2013-11-17,0,0,866,0,0 +4425,jameka ferguson,jameka,ferguson,2013-09-16,Male,1977-11-16,38,25 - 45,Other,0,1,0,0,1,-1,2013-09-15 09:33:33,2013-09-16 07:05:06,14007854MM10A,2013-09-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,2,Low,2013-09-16,2013-09-15,2013-09-16,1,0,928,0,0 +4426,christin butler,christin,butler,2014-03-11,Female,1972-05-01,43,25 - 45,Caucasian,0,2,0,0,0,0,2014-03-11 04:14:22,2014-03-11 08:42:40,14003418CF10A,2014-03-11,,0,M,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2016-02-23,2016-02-26,0,0,714,0,0 +4428,samuels semper,samuels,semper,2013-04-23,Male,1980-11-06,35,25 - 45,African-American,0,9,0,0,1,,,,08021895MM10A,,2009-04-13,1471,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-23,Risk of Violence,6,Medium,2013-04-23,,,1,0,1074,0,0 +4430,mason lopez,mason,lopez,2013-03-17,Male,1990-10-24,25,25 - 45,Hispanic,0,3,0,0,2,-1,2013-03-16 01:12:33,2013-03-17 02:03:07,13005188MM10A,2013-03-16,,1,M,Battery,1,13085435TC40A,(M2),92,2013-12-09,Driving License Suspended,2014-03-11,2014-03-14,,1,15008838CF10A,(F2),2015-07-09,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,3,Low,2013-03-17,Risk of Violence,5,Medium,2013-03-17,2015-07-09,2015-07-27,2,0,267,1,1 +4431,rodger running,rodger,running,2013-04-15,Male,1962-12-08,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-04-14 10:39:49,2013-04-19 10:35:23,13007210MM10A,2013-04-14,,1,M,Battery,1,13013026MM10A,(M1),0,2013-07-10,Viol Pretrial Release Dom Viol,2013-07-10,2013-08-23,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-07-10,2013-08-23,1,4,86,1,1 +4432,bradley gaskins,bradley,gaskins,2013-03-31,Male,1994-02-01,22,Less than 25,Caucasian,0,7,0,3,0,-1,2013-03-30 08:02:38,2013-03-31 02:54:22,09014657TI20A,2009-02-13,,1507,M,Possess Tobacco Product Under 18,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-31,Risk of Violence,10,High,2013-03-31,2013-03-30,2013-03-31,0,0,1097,0,0 +4433,stefanie miranda,stefanie,miranda,2014-04-01,Female,1984-01-05,32,25 - 45,Hispanic,0,2,0,0,1,-11,2014-03-21 11:15:52,2014-04-01 10:27:40,14004011CF10A,2014-03-21,,11,M,Burglary Conveyance Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-04-01,Risk of Violence,2,Low,2014-04-01,2014-03-21,2014-04-01,1,0,731,0,0 +4434,eric redmond,eric,redmond,2013-03-25,Male,1989-06-19,26,25 - 45,Caucasian,0,7,0,0,9,-1,2013-03-24 02:25:59,2013-03-25 08:04:10,13005756MM10A,2013-03-24,,1,M,Possess Cannabis/20 Grams Or Less,1,14007041MO10A,(M1),1,2014-04-28,Trespass After Warning,2014-04-29,2014-04-29,,1,15001565MM10A,(M2),2015-02-06,Assault,Risk of Recidivism,7,Medium,2013-03-25,Risk of Violence,5,Medium,2013-03-25,2013-08-18,2013-08-20,9,0,146,0,1 +4435,vivienne campbell,vivienne,campbell,2013-02-27,Female,1967-11-20,48,Greater than 45,Other,0,1,0,0,0,-1,2013-02-26 04:52:54,2013-02-27 09:49:05,13002930CF10A,2013-02-26,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-27,Risk of Violence,1,Low,2013-02-27,2013-02-26,2013-02-27,0,0,1129,0,0 +4436,david corbin,david,corbin,2013-11-12,Male,1993-02-18,23,Less than 25,African-American,0,10,0,0,4,-1,2013-11-11 08:40:03,2013-11-12 01:22:51,13015689CF10A,2013-11-11,,1,F,Poss Cntrft Contr Sub w/Intent,1,14001047CF10A,(F2),0,2014-01-24,Poss F/Arm Delinq,2014-01-24,2014-01-26,,0,,,,,Risk of Recidivism,10,High,2013-11-12,Risk of Violence,9,High,2013-11-12,2014-01-24,2014-01-26,4,0,73,1,1 +4437,george massie,george,massie,2013-06-25,Male,1944-10-09,71,Greater than 45,Caucasian,0,1,0,0,1,-28,2013-05-28 10:34:00,2013-06-01 09:54:23,13010258MM10A,2013-05-28,,28,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-25,Risk of Violence,1,Low,2013-06-25,2013-05-28,2013-06-01,1,0,1011,0,0 +4438,ursula fontaine,ursula,fontaine,2013-01-24,Female,1955-04-05,61,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-23 01:23:24,2013-01-23 02:14:29,13001511MM10A,2013-01-23,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2013-01-23,2013-01-23,0,0,1163,0,0 +4439,gabriela ulpiano,gabriela,ulpiano,2013-10-14,Female,1993-06-10,22,Less than 25,Caucasian,0,5,0,0,2,-22,2013-09-22 07:56:23,2013-09-23 01:51:40,13018053MM10A,2013-09-22,,22,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-14,Risk of Violence,5,Medium,2013-10-14,2014-07-21,2014-07-24,2,0,280,0,0 +4440,darrell roberts,darrell,roberts,2014-12-23,Male,1986-05-01,29,25 - 45,African-American,0,2,0,0,1,82,2015-03-15 12:28:10,2015-04-22 01:45:21,10027144MM10A,2010-12-18,,1466,M,DUI Blood Alcohol Above 0.20,1,15003080MM10A,(M1),1,2015-03-14,Battery,2015-03-15,2015-04-22,,1,15003080MM10A,(M1),2015-03-14,Battery,Risk of Recidivism,2,Low,2014-12-23,Risk of Violence,2,Low,2014-12-23,2015-03-15,2015-04-22,1,0,81,1,1 +4441,carolyn weaver,carolyn,weaver,2013-04-02,Female,1962-01-27,54,Greater than 45,Caucasian,0,2,0,0,1,-22,2013-03-11 04:01:35,2013-03-11 07:47:17,13004883MM10A,2013-03-11,,22,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-02,Risk of Violence,1,Low,2013-04-02,2013-03-11,2013-03-11,1,0,1095,0,0 +4442,joseph criscione,joseph,criscione,2013-11-23,Male,1991-11-02,24,Less than 25,Caucasian,0,9,2,0,6,-1,2013-11-22 08:34:45,2013-11-23 10:16:31,13016231CF10A,,2013-11-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-23,Risk of Violence,7,Medium,2013-11-23,2013-11-22,2013-11-23,6,0,860,0,0 +4443,allyson glass,allyson,glass,2013-01-14,Female,1987-12-31,28,25 - 45,Caucasian,0,5,0,0,0,-1,2013-01-13 04:58:10,2013-01-14 06:50:27,13000595CF10A,2013-01-13,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-14,Risk of Violence,3,Low,2013-01-14,2013-01-13,2013-01-14,0,0,1173,0,0 +4444,alexandria dalton,alexandria,dalton,2013-05-22,Female,1990-12-15,25,25 - 45,Caucasian,0,10,0,0,2,0,2013-05-22 02:20:05,2013-11-19 05:29:00,13007287CF10A,2013-05-21,,1,F,Escape,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-05-22,Risk of Violence,8,High,2013-05-22,2013-05-22,2013-11-19,2,181,1045,0,0 +4445,veronica miller,veronica,miller,2013-07-18,Female,1993-11-23,22,Less than 25,African-American,0,5,0,0,1,-28,2013-06-20 04:36:36,2013-07-03 10:00:15,13008731CF10A,2013-06-20,,28,F,Murder in the First Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-18,Risk of Violence,5,Medium,2013-07-18,2014-03-09,2014-08-27,1,0,234,0,0 +4447,ryan sapp,ryan,sapp,2013-08-21,Male,1992-03-08,24,Less than 25,African-American,0,3,0,0,2,0,2013-08-21 02:11:07,2013-08-22 04:54:08,13011746CF10A,2013-08-20,,1,F,Resist Officer w/Violence,1,13019525MM10A,(M1),367,2013-08-24,Possess Cannabis/20 Grams Or Less,2014-08-26,2014-08-27,,0,,,,,Risk of Recidivism,3,Low,2013-08-21,Risk of Violence,4,Low,2013-08-21,2013-08-21,2013-08-22,2,1,3,1,1 +4448,joseph clagett,joseph,clagett,2014-01-20,Male,1980-04-30,35,25 - 45,African-American,0,4,0,0,0,-1,2014-01-19 07:31:22,2014-01-20 08:17:30,14000838CF10A,2014-01-19,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-20,Risk of Violence,3,Low,2014-01-20,2014-01-19,2014-01-20,0,0,802,0,0 +4450,ameer abdulmalik,ameer,abdulmalik,2014-01-27,Male,1994-10-01,21,Less than 25,African-American,0,3,0,0,0,-1,2014-01-26 03:55:36,2014-01-27 08:34:04,14001154CF10A,2014-01-26,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-27,Risk of Violence,5,Medium,2014-01-27,2014-01-26,2014-01-27,0,0,795,0,0 +4451,george brent,george,brent,2013-01-12,Male,1967-03-09,49,Greater than 45,Caucasian,0,1,0,0,1,0,2013-01-12 04:12:16,2013-01-16 08:38:51,13000576CF10A,2013-01-12,,0,M,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-12,Risk of Violence,1,Low,2013-01-12,2013-03-21,2013-03-22,1,4,68,0,0 +4452,kenyatta bowen,kenyatta,bowen,2013-08-06,Male,1990-03-11,26,25 - 45,African-American,0,9,0,0,6,-1,2013-08-05 04:37:34,2013-08-07 10:44:15,13010973CF10A,2013-08-05,,1,F,Aggravated Battery / Pregnant,1,14001576MM20A,(M1),,2014-05-21,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-08-06,Risk of Violence,7,Medium,2013-08-06,2013-08-05,2013-08-07,6,1,288,1,1 +4453,curtis sanders,curtis,sanders,2013-12-17,Male,1986-03-17,30,25 - 45,African-American,0,9,1,0,7,-1,2013-12-16 10:21:52,2014-01-24 03:15:15,13017387CF10A,2013-12-16,,1,F,Burglary Conveyance Unoccup,1,16000357CF10A,(F2),0,2016-01-09,Burglary Unoccupied Dwelling,2016-01-09,2016-02-11,,0,,,,,Risk of Recidivism,9,High,2013-12-17,Risk of Violence,9,High,2013-12-17,2016-01-09,2016-02-11,7,38,753,1,1 +4455,daniel giancola,daniel,giancola,2013-08-07,Male,1983-06-05,32,25 - 45,Hispanic,0,1,0,1,1,,,,12014508MM10A,2012-07-15,,388,M,Driving Under The Influence,1,13041630TC10A,(M2),,2013-09-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,,,1,0,47,1,1 +4457,jarvis lewis,jarvis,lewis,2013-08-19,Male,1985-10-31,30,25 - 45,African-American,0,4,0,0,5,-1,2013-08-18 10:34:27,2014-02-15 04:39:05,13011568CF10A,2013-08-18,,1,F,Aggravated Assault w/Firearm,1,14004267CF10A,(M1),0,2014-03-26,Possess Cannabis/20 Grams Or Less,2014-03-26,2014-10-16,,0,,,,,Risk of Recidivism,4,Low,2013-08-19,Risk of Violence,6,Medium,2013-08-19,2014-03-26,2014-10-16,5,180,219,1,1 +4459,timothy towns,timothy,towns,2013-08-12,Male,1994-06-12,21,Less than 25,African-American,0,4,0,0,1,-40,2013-07-03 10:42:54,2013-07-16 08:11:11,12012009CF10A,,2013-07-03,40,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-12,Risk of Violence,6,Medium,2013-08-12,2014-01-10,2014-03-15,1,0,151,0,0 +4461,renato schossler,renato,schossler,2013-04-04,Male,1951-04-24,64,Greater than 45,Caucasian,0,1,0,0,8,-1,2013-04-03 10:47:23,2013-04-04 07:38:50,13004781CF10A,2013-04-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,2013-04-03,2013-04-04,8,0,1093,0,0 +4462,sherise wright,sherise,wright,2013-10-01,Female,1990-01-19,26,25 - 45,African-American,0,3,0,0,1,35,2013-11-05 06:24:56,2013-12-19 10:27:50,13002846CF10A,,2013-03-18,197,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-01,Risk of Violence,2,Low,2013-10-01,2013-11-05,2013-12-19,1,0,35,0,0 +4463,catherine smith,catherine,smith,2014-05-09,Female,1971-01-22,45,Greater than 45,Caucasian,0,2,1,0,7,-1,2014-05-08 07:46:46,2014-05-09 01:24:37,14008795MM10A,,2014-05-09,0,F,arrest case no charge,1,14033591TC10A,(M2),0,2014-09-10,Operating W/O Valid License,2014-09-10,2014-09-12,,0,,,,,Risk of Recidivism,2,Low,2014-05-09,Risk of Violence,1,Low,2014-05-09,2014-09-10,2014-09-12,7,0,124,1,1 +4464,gervan mcglashan,gervan,mcglashan,2013-05-18,Male,1978-10-02,37,25 - 45,African-American,0,2,0,0,3,-1,2013-05-17 05:42:47,2013-05-18 07:44:03,13009556MM10A,2013-05-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-18,Risk of Violence,2,Low,2013-05-18,2013-12-18,2013-12-20,3,0,214,0,0 +4466,andrea davidson,andrea,davidson,2013-09-30,Female,1981-10-09,34,25 - 45,African-American,0,7,0,0,1,-1,2013-09-29 11:30:37,2014-01-23 12:04:18,13013656CF10A,2013-09-29,,1,F,Neglect Child / No Bodily Harm,1,15015747CF10A,(F3),,2015-12-09,Battery on Law Enforc Officer,,,,1,15015747CF10A,(F3),2015-12-09,Battery on Law Enforc Officer,Risk of Recidivism,7,Medium,2013-09-30,Risk of Violence,3,Low,2013-09-30,2013-09-29,2014-01-23,1,115,800,1,1 +4468,adolfo laurent,adolfo,laurent,2013-06-19,Male,1956-02-22,60,Greater than 45,Hispanic,0,1,0,0,4,-15,2013-06-04 01:12:55,2013-06-10 06:24:13,13007935CF10A,2013-06-03,,16,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-19,Risk of Violence,1,Low,2013-06-19,2013-11-16,2013-11-23,4,0,150,0,0 +4469,david swan,david,swan,2013-05-27,Male,1957-09-28,58,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-26 10:29:50,2013-05-27 06:15:59,13010092MM10A,2013-05-26,,1,M,Viol Injunction Protect Dom Vi,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-26,2013-05-27,0,0,1040,0,0 +4471,edgar cisneros,edgar,cisneros,2013-11-15,Male,1988-08-24,27,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-14 05:01:31,2013-11-15 02:59:54,13015860CF10A,2013-11-14,,1,F,Use Computer for Child Exploit,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-15,Risk of Violence,2,Low,2013-11-15,2014-07-01,2014-08-27,0,0,228,0,0 +4473,roosevelt kiser,roosevelt,kiser,2013-01-24,Male,1985-05-30,30,25 - 45,African-American,0,1,0,0,0,0,2013-01-24 05:01:12,2013-01-24 08:21:12,13001725MM10A,2013-01-24,,0,M,DUI Level 0.15 Or Minor In Veh,1,13027767TC10A,(M2),0,2013-06-24,Susp Drivers Lic 1st Offense,2013-06-24,2013-06-25,,0,,,,,Risk of Recidivism,1,Low,2013-01-24,Risk of Violence,2,Low,2013-01-24,2013-06-24,2013-06-25,0,0,151,1,1 +4475,sindy gourdet,sindy,gourdet,2013-05-13,Male,1990-10-25,25,25 - 45,African-American,0,2,0,2,0,0,2013-05-13 01:14:04,2013-05-13 01:57:13,13009149MM10A,2013-05-12,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-13,Risk of Violence,3,Low,2013-05-13,2013-11-12,2013-11-14,0,0,183,0,0 +4476,harry harrison,harry,harrison,2014-03-28,Male,1956-03-26,60,Greater than 45,African-American,0,8,0,0,19,0,2014-03-28 03:56:54,2014-05-06 04:04:40,14004378CF10A,2014-03-28,,0,F,Possession of Cocaine,1,15009950CF10A,(F3),1,2015-08-01,Possession of Cocaine,2015-08-02,2015-10-28,,0,,,,,Risk of Recidivism,8,High,2014-03-28,Risk of Violence,5,Medium,2014-03-28,2014-03-28,2014-05-06,19,39,491,1,1 +4478,jason martin,jason,martin,2013-04-23,Male,1959-07-05,56,Greater than 45,African-American,0,8,0,0,24,22,2013-05-15 01:57:35,2013-05-21 11:04:32,13000995CF10A,2013-01-21,,92,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-23,Risk of Violence,4,Low,2013-04-23,2013-05-15,2013-05-21,24,0,22,0,0 +4479,vladimir fontaine,vladimir,fontaine,2013-08-25,Male,1982-12-12,33,25 - 45,African-American,0,1,0,0,2,-1,2013-08-24 06:47:25,2013-08-25 08:17:55,13016205MM10A,2013-08-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-25,Risk of Violence,2,Low,2013-08-25,2013-08-24,2013-08-25,2,0,950,0,0 +4480,juan morales,juan,morales,2013-08-06,Male,1990-09-28,25,25 - 45,Caucasian,0,9,1,0,9,-1,2013-08-05 10:43:19,2013-11-01 10:33:06,13010974CF10A,2013-08-05,,1,F,Burglary Dwelling Occupied,1,15002732CF10A,(M2),0,2015-02-26,Operating W/O Valid License,2015-02-26,2015-02-28,,0,,,,,Risk of Recidivism,9,High,2013-08-06,Risk of Violence,9,High,2013-08-06,2015-02-26,2015-02-28,9,87,569,1,1 +4481,richard francis,richard,francis,2013-07-02,Male,1968-12-10,47,Greater than 45,African-American,0,7,0,0,15,-60,2013-05-03 03:11:46,2013-07-02 10:44:18,13006347CF10A,2013-05-03,,60,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-07-02,Risk of Violence,2,Low,2013-07-02,2013-05-03,2013-07-02,15,0,1004,0,0 +4483,terrance irvin,terrance,irvin,2013-10-12,Male,1984-04-10,32,25 - 45,African-American,0,7,0,0,6,-1,2013-10-11 05:38:14,2013-10-15 07:11:17,13014279CF10A,2013-10-11,,1,F,Grand Theft in the 3rd Degree,1,13017581CF10A,(F3),1,2013-12-20,Felony Battery w/Prior Convict,2013-12-21,2014-02-21,,1,13017581CF10A,(F3),2013-12-20,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-10-12,Risk of Violence,4,Low,2013-10-12,2013-10-11,2013-10-15,6,3,69,1,1 +4485,david moise,david,moise,2013-11-09,Male,1991-06-06,24,Less than 25,African-American,0,3,0,0,3,-1,2013-11-08 03:38:20,2013-11-09 02:14:52,13015603CF10A,2013-11-08,,1,F,Crimin Mischief Damage $1000+,1,13015852CF10A,(F3),0,2013-11-14,Grand Theft in the 3rd Degree,2013-11-14,2013-11-16,,0,,,,,Risk of Recidivism,3,Low,2013-11-09,Risk of Violence,4,Low,2013-11-09,2013-11-14,2013-11-16,3,0,5,1,1 +4486,christopher garcia,christopher,garcia,2014-02-19,Male,1992-12-31,23,Less than 25,Caucasian,0,8,1,0,2,-1,2014-02-18 10:27:04,2014-02-26 05:50:15,12010459CF10A,,2014-02-18,1,F,arrest case no charge,1,15007279CF10A,(F3),,2014-11-18,False Verif Ownership Pawn Shp,,,,0,,,,,Risk of Recidivism,8,High,2014-02-19,Risk of Violence,8,High,2014-02-19,2014-09-28,2014-09-28,2,7,221,0,1 +4488,andres caicedo,andres,caicedo,2014-04-28,Male,1993-02-10,23,Less than 25,Hispanic,0,6,0,0,3,-1,2014-04-27 08:24:41,2014-04-30 09:43:46,14005858CF10A,2014-04-27,,1,F,Burglary Conveyance Unoccup,1,14010384MM10A,(M1),0,2014-07-06,Trespass/Property/Other Structure,2014-07-06,2014-07-06,,0,,,,,Risk of Recidivism,6,Medium,2014-04-28,Risk of Violence,5,Medium,2014-04-28,2014-07-06,2014-07-06,3,2,69,0,1 +4491,rovens daphnis,rovens,daphnis,2013-01-04,Male,1990-07-05,25,25 - 45,African-American,0,4,0,0,1,-1,2013-01-03 09:57:32,2013-01-04 01:36:49,13000138CF10A,2013-01-03,,1,F,Possession of Hydrocodone,1,13006172CF10A,(M1),1,2013-04-29,Resist/Obstruct W/O Violence,2013-04-30,2013-12-03,,1,13006172CF10A,(M1),2013-04-29,Battery,Risk of Recidivism,4,Low,2013-01-04,Risk of Violence,5,Medium,2013-01-04,2013-03-11,2013-03-15,1,0,66,0,1 +4492,linsey calliste,linsey,calliste,2014-02-02,Female,1995-11-17,20,Less than 25,African-American,0,4,0,0,0,-1,2014-02-01 10:09:26,2014-02-02 08:52:57,14001455CF10A,2014-02-01,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-02,Risk of Violence,6,Medium,2014-02-02,2014-02-01,2014-02-02,0,0,789,0,0 +4493,kenneth everett,kenneth,everett,2014-02-19,Male,1983-06-01,32,25 - 45,African-American,0,9,0,4,9,-1,2014-02-18 06:56:00,2014-02-19 02:08:42,14002314CF10A,2014-02-18,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-19,Risk of Violence,7,Medium,2014-02-19,2014-03-31,2014-04-01,9,0,40,0,0 +4494,auta goudreau,auta,goudreau,2013-01-06,Female,1966-06-22,49,Greater than 45,African-American,0,1,0,0,0,0,2013-01-06 03:17:29,2013-01-07 08:39:20,13000247CF10A,2013-01-06,,0,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,2,Low,2013-01-06,2013-01-06,2013-01-07,0,1,1181,0,0 +4495,kadijah julien,kadijah,julien,2013-09-03,Male,1993-10-28,22,Less than 25,African-American,0,3,0,0,1,-4,2013-08-30 03:45:48,2013-08-31 06:14:35,13012305CF10A,2013-08-30,,4,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-03,Risk of Violence,5,Medium,2013-09-03,2013-08-30,2013-08-31,1,0,941,0,0 +4496,brandon brown-cruz,brandon,brown-cruz,2013-11-09,Male,1991-11-13,24,Less than 25,African-American,0,3,0,0,0,-1,2013-11-08 12:56:47,2013-11-09 02:08:10,13015602CF10A,2013-11-08,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-09,Risk of Violence,4,Low,2013-11-09,2013-11-08,2013-11-09,0,0,874,0,0 +4498,zachary raquepaw,zachary,raquepaw,2014-10-22,Male,1989-06-24,26,25 - 45,Caucasian,0,7,0,0,10,7,2014-10-29 01:39:00,2014-10-29 08:28:41,14011655CF10A,2014-06-30,,114,F,Driving While License Revoked,1,14014528CF10A,(M1),1,2014-10-28,Resist/Obstruct W/O Violence,2014-10-29,2014-10-29,,0,,,,,Risk of Recidivism,7,Medium,2014-10-22,Risk of Violence,5,Medium,2014-10-22,2014-10-29,2014-10-29,10,0,6,1,1 +4500,henry carter,henry,carter,2013-05-18,Male,1986-10-31,29,25 - 45,African-American,0,8,0,0,5,,,,10017179CF10A,2010-09-23,,968,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-18,Risk of Violence,5,Medium,2013-05-18,2009-03-17,2010-01-29,5,0,1049,0,0 +4501,vonda rivers,vonda,rivers,2014-04-04,Female,1996-03-07,20,Less than 25,African-American,1,10,0,0,1,483,2015-07-31 12:24:29,2015-08-12 05:12:48,14003604CF10A,2014-02-11,,52,F,Grand Theft (Motor Vehicle),1,15000126MM30A,(M2),210,2015-01-02,Petit Theft,2015-07-31,2015-08-12,,0,,,,,Risk of Recidivism,10,High,2014-04-04,Risk of Violence,9,High,2014-04-04,2015-07-31,2015-08-12,1,0,273,1,1 +4502,thomas hansler,thomas,hansler,2013-04-04,Male,1966-08-30,49,Greater than 45,Caucasian,0,1,0,0,1,,,,11020517MM10A,2011-09-13,,569,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,,,1,0,1093,0,0 +4503,kendall dunbar,kendall,dunbar,2014-05-21,Male,1986-10-17,29,25 - 45,African-American,0,2,0,0,1,0,2014-05-21 02:31:07,2014-05-23 01:56:21,14008230MM10A,2014-05-21,,0,M,Battery,1,14024720TC10A,(M2),0,2014-07-06,Expired DL More Than 6 Months,2014-07-06,2014-07-07,,0,,,,,Risk of Recidivism,2,Low,2014-05-21,Risk of Violence,2,Low,2014-05-21,2014-06-12,2014-06-12,1,2,22,0,1 +4504,jerron pitts,jerron,pitts,2014-09-04,Male,1997-07-22,18,Less than 25,African-American,3,9,0,0,2,-85,2014-06-11 12:43:36,2014-09-04 10:12:00,14009450CF10A,,2014-07-15,51,F,arrest case no charge,1,15006896CF10A,(F3),,2015-05-27,Possession Burglary Tools,,,,0,,,,,Risk of Recidivism,9,High,2014-09-04,Risk of Violence,7,Medium,2014-09-04,2015-01-06,2015-01-15,2,0,124,0,1 +4505,zackary salamone,zackary,salamone,2013-03-05,Male,1993-05-05,22,Less than 25,Caucasian,0,6,0,0,0,-1,2013-03-04 08:02:42,2013-03-05 09:56:34,13003258CF10A,2013-03-04,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-05,Risk of Violence,5,Medium,2013-03-05,2013-10-10,2013-10-22,0,0,219,0,0 +4506,garcia hilaire,garcia,hilaire,2014-02-18,Male,1981-12-29,34,25 - 45,African-American,3,10,0,0,8,,,,11014207CF10A,,2011-08-24,909,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-02-18,Risk of Violence,7,Medium,2014-02-18,2006-03-23,2010-02-21,8,0,773,0,0 +4508,laver dent,laver,dent,2013-04-29,Female,1989-10-03,26,25 - 45,African-American,0,5,0,0,3,-1,2013-04-28 09:29:51,2013-04-29 08:39:30,13006099CF10A,2013-04-28,,1,F,Aggravated Assault W/dead Weap,1,15015089CF10A,(F3),,2015-11-21,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-29,Risk of Violence,4,Low,2013-04-29,2013-04-28,2013-04-29,3,0,936,1,0 +4509,john guillaume,john,guillaume,2013-10-24,Male,1994-05-20,21,Less than 25,African-American,0,7,0,0,0,-1,2013-10-23 02:34:20,2013-10-26 08:28:29,13017848CF10A,2013-10-23,,1,F,Burglary Unoccupied Dwelling,1,15011874CF10A,(F2),,2015-08-17,Burglary Dwelling Occupied,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-24,Risk of Violence,7,Medium,2013-10-24,2013-12-27,2013-12-30,0,2,64,0,1 +4510,carlos calle,carlos,calle,2013-03-09,Male,1962-04-13,54,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-03-08 01:01:34,2013-04-16 01:26:45,13004726MM10A,2013-03-08,,1,M,Battery,1,15035132TC20A,(M1),,2015-06-06,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2014-09-10,2014-09-18,2,38,550,0,0 +4511,tommie carter,tommie,carter,2013-01-09,Male,1956-07-08,59,Greater than 45,African-American,0,1,0,0,1,-1,2013-01-08 07:37:28,2013-01-09 12:43:37,13000317CF10A,2013-01-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2013-01-08,2013-01-09,1,0,1178,0,0 +4512,daniel swakcerd,daniel,swakcerd,2014-05-23,Male,1994-02-02,22,Less than 25,African-American,0,8,0,1,0,-1,2014-05-22 06:29:14,2014-05-23 08:19:39,14007176CF10A,2014-05-22,,1,F,Uttering a Forged Instrument,1,15005468CF10A,(F3),0,2015-04-26,Poss Pyrrolidinovalerophenone,2015-04-26,2015-05-08,,0,,,,,Risk of Recidivism,8,High,2014-05-23,Risk of Violence,8,High,2014-05-23,2015-04-26,2015-05-08,0,0,338,1,1 +4513,jackson exalus,jackson,exalus,2013-05-19,Male,1991-11-25,24,Less than 25,Other,0,4,0,0,1,-1,2013-05-18 05:53:46,2013-05-23 03:55:02,13007120CF10A,2013-05-18,,1,F,Aggravated Assault W/dead Weap,1,15004135MM10A,(M1),1,2015-03-11,Resist/Obstruct W/O Violence,2015-03-12,2015-04-21,,1,15004135MM10A,(M1),2015-03-11,Battery,Risk of Recidivism,4,Low,2013-05-19,Risk of Violence,6,Medium,2013-05-19,2013-05-18,2013-05-23,1,4,661,1,1 +4514,rod robinson,rod,robinson,2013-12-26,Male,1951-10-08,64,Greater than 45,African-American,0,7,0,0,20,-1,2013-12-25 10:09:07,2013-12-27 11:47:33,13017781CF10A,2013-12-25,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-26,Risk of Violence,1,Low,2013-12-26,2013-12-25,2013-12-27,20,1,827,0,0 +4516,michael denonno,michael,denonno,2013-09-11,Male,1970-05-10,45,Greater than 45,Caucasian,0,1,0,0,1,0,2013-09-11 02:40:04,2013-09-11 08:28:58,13017307MM10A,2013-09-11,,0,M,Driving Under The Influence,1,14002476MM20A,(M2),,2014-08-31,Disorderly Conduct,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2014-01-03,2014-01-03,1,0,114,0,1 +4517,jameeka obriant,jameeka,obriant,2013-06-27,Female,1993-05-16,22,Less than 25,African-American,0,4,0,0,0,-7,2013-06-20 10:32:45,2013-06-26 09:05:59,13008701CF10A,2013-06-20,,7,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-27,Risk of Violence,5,Medium,2013-06-27,2013-06-20,2013-06-26,0,0,1009,0,0 +4518,jason lacroix,jason,lacroix,2014-01-14,Male,1992-01-26,24,Less than 25,African-American,0,3,0,0,5,-1,2014-01-13 08:08:43,2014-01-14 07:43:20,14000575CF10A,2014-01-13,,1,F,Felony Driving While Lic Suspd,1,14075727TC40A,(M2),,2014-09-18,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-14,Risk of Violence,4,Low,2014-01-14,2014-01-13,2014-01-14,5,0,247,1,1 +4520,rakesha hills,rakesha,hills,2013-09-26,Female,1986-04-01,30,25 - 45,African-American,0,6,0,0,3,0,2013-09-26 04:53:11,2013-10-08 05:32:22,13013530CF10A,2013-09-26,,0,F,Felony Driving While Lic Suspd,1,14003801MM10A,(M1),0,2014-03-05,Battery,2014-03-05,2014-03-06,,1,14003801MM10A,(M1),2014-03-05,Battery,Risk of Recidivism,6,Medium,2013-09-26,Risk of Violence,3,Low,2013-09-26,2014-03-05,2014-03-06,3,12,160,1,1 +4521,harriet blake,harriet,blake,2013-12-06,Female,1989-04-18,27,25 - 45,Caucasian,0,5,0,0,0,0,2013-12-06 03:15:24,2013-12-06 09:29:08,13016895CF10A,2013-12-06,,0,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-06,Risk of Violence,3,Low,2013-12-06,2013-12-06,2013-12-06,0,0,847,0,0 +4524,matthew haffner,matthew,haffner,2013-12-30,Male,1995-12-02,20,Less than 25,Caucasian,0,4,0,2,0,-3,2013-12-27 01:47:20,2013-12-27 08:51:11,13017820CF10A,2013-12-26,,4,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-30,Risk of Violence,7,Medium,2013-12-30,2013-12-27,2013-12-27,0,0,823,0,0 +4525,eimar galvis,eimar,galvis,2013-01-03,Male,1987-03-07,29,25 - 45,Hispanic,0,5,0,0,0,-1,2013-01-02 10:05:22,2013-01-09 05:44:25,13000098CF10A,2013-01-02,,1,F,Traff In Cocaine <400g>150 Kil,1,15004400MM10A,(M1),,2014-12-11,Extradition/Defendants,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-03,Risk of Violence,4,Low,2013-01-03,2013-01-02,2013-01-09,0,6,707,1,1 +4526,ryan franz,ryan,franz,2013-06-17,Male,1987-11-24,28,25 - 45,Caucasian,0,5,0,0,5,-23,2013-05-25 07:41:24,2013-06-15 05:29:45,13007492CF10A,,2013-05-25,23,F,arrest case no charge,1,13001501MM30A,(M2),,2013-10-18,Criminal Mischief,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-17,Risk of Violence,4,Low,2013-06-17,2013-05-25,2013-06-15,5,0,123,1,1 +4527,everson alexis,everson,alexis,2014-01-28,Male,1978-05-03,37,25 - 45,Other,0,1,0,0,0,-1,2014-01-27 04:34:50,2014-01-28 08:12:42,14001503MM10A,2014-01-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-28,Risk of Violence,1,Low,2014-01-28,2014-01-27,2014-01-28,0,0,794,0,0 +4530,andre eaton,andre,eaton,2013-11-27,Male,1990-07-15,25,25 - 45,Other,0,2,0,0,2,0,2013-11-27 12:32:45,2013-11-27 02:52:06,13016493CF10A,2013-11-26,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-27,Risk of Violence,3,Low,2013-11-27,2015-04-10,2015-04-11,2,0,499,0,0 +4533,lenin rincon,lenin,rincon,2013-01-04,Male,1993-03-25,23,Less than 25,Caucasian,0,6,0,1,3,18,2013-01-22 11:55:40,2013-09-24 10:11:00,13000010CF10A,,2012-12-31,4,F,arrest case no charge,1,13001020CF10A,(F3),5,2013-01-17,Aggrav Stalking After Injunctn,2013-01-22,2013-09-24,,0,,,,,Risk of Recidivism,6,Medium,2013-01-04,Risk of Violence,6,Medium,2013-01-04,2013-01-22,2013-09-24,3,0,13,1,1 +4534,lakesia hawkins,lakesia,hawkins,2014-02-05,Female,1983-04-29,32,25 - 45,African-American,0,2,0,0,0,-1,2014-02-04 12:32:17,2014-02-05 09:57:20,14001960MM10A,2014-02-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-05,Risk of Violence,1,Low,2014-02-05,2014-02-04,2014-02-05,0,0,786,0,0 +4536,dena gaines,dena,gaines,2013-08-19,Female,1971-07-03,44,25 - 45,Caucasian,0,1,0,0,1,-3,2013-08-16 09:32:39,2013-08-17 06:40:59,13011514CF10A,2013-08-16,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-10-15,2013-10-16,1,0,57,0,0 +4537,alphonse mills,alphonse,mills,2013-03-09,Male,1975-04-10,41,25 - 45,African-American,0,4,0,0,8,-1,2013-03-08 11:20:25,2013-03-10 01:38:59,13003467CF10A,2013-03-08,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-09,Risk of Violence,2,Low,2013-03-09,2016-02-10,2016-02-10,8,1,1068,0,0 +4541,jeffrey chidsey,jeffrey,chidsey,2013-03-18,Male,1985-11-10,30,25 - 45,Caucasian,0,2,0,0,3,21,2013-04-08 04:09:44,2013-05-04 02:26:09,15014942CF10A,2009-08-17,,1309,F,Murder In 2nd Degree W/firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-18,Risk of Violence,2,Low,2013-03-18,2013-04-08,2013-05-04,3,0,21,0,0 +4544,bradford crayton,bradford,crayton,2013-05-24,Male,1988-10-17,27,25 - 45,African-American,0,5,0,0,2,0,2013-05-24 04:38:03,2013-05-31 10:05:39,13010012MM10A,2013-05-24,,0,M,Battery,1,14003318CF10A,(M1),0,2014-03-09,Battery,2014-03-09,2014-05-16,,1,14003318CF10A,(F2),2014-03-09,Agg Battery Grt/Bod/Harm,Risk of Recidivism,5,Medium,2013-05-24,Risk of Violence,6,Medium,2013-05-24,2014-03-09,2014-05-16,2,7,289,1,1 +4546,rashenna royster,rashenna,royster,2014-02-11,Male,1983-10-01,32,25 - 45,African-American,0,1,0,0,0,-1,2014-02-10 09:20:37,2014-02-11 01:25:21,14001875CF10A,2014-02-10,,1,F,Possession of Cocaine,1,15001260MM30A,(M2),,2015-07-26,Petit Theft,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-11,Risk of Violence,1,Low,2014-02-11,2014-02-10,2014-02-11,0,0,530,1,1 +4550,michael floyd,michael,floyd,2014-02-09,Male,1975-12-18,40,25 - 45,African-American,0,8,1,1,24,-1,2014-02-08 04:41:57,2014-02-09 07:16:35,14002194MM10A,2014-02-08,,1,M,Battery,1,14012662MM10A,(M1),0,2014-08-22,Resist/Obstruct W/O Violence,2014-08-22,2014-08-23,,0,,,,,Risk of Recidivism,8,High,2014-02-09,Risk of Violence,7,Medium,2014-02-09,2014-08-22,2014-08-23,24,0,194,1,1 +4552,felix regis,felix,regis,2014-01-08,Male,1992-10-24,23,Less than 25,African-American,0,2,0,0,1,-45,2013-11-24 07:49:16,2013-11-24 08:12:10,13016330CF10A,2013-11-24,,45,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,3,Low,2014-01-08,2014-08-28,2014-08-30,1,0,232,0,0 +4553,francisco sanchezlagomarcino,francisco,sanchezlagomarcino,2013-04-27,Male,1981-12-15,34,25 - 45,Hispanic,0,3,0,0,2,0,2013-04-27 02:33:25,2013-04-27 07:29:37,13020330TC10A,2013-04-27,,0,M,Operating W/O Valid License,1,16000043CF10A,(M2),0,2016-01-01,Unlaw LicTag/Sticker Attach,2016-01-01,2016-01-03,,0,,,,,Risk of Recidivism,3,Low,2013-04-27,Risk of Violence,2,Low,2013-04-27,2016-01-01,2016-01-03,2,0,979,1,0 +4554,patrick jean,patrick,jean,2013-12-06,Male,1983-04-03,33,25 - 45,African-American,0,10,0,0,1,,,,04017955CF10A,,2013-11-29,7,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-06,Risk of Violence,6,Medium,2013-12-06,,,1,0,847,0,0 +4556,carmelle prospere,carmelle,prospere,2014-03-23,Female,1983-02-10,33,25 - 45,African-American,0,4,0,0,3,-1,2014-03-22 07:22:13,2014-03-23 09:07:58,14005016MM10A,2014-03-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-23,3,0,740,0,0 +4557,nicholas brady,nicholas,brady,2013-07-16,Male,1982-08-27,33,25 - 45,Caucasian,0,5,0,0,3,-42,2013-06-04 12:15:50,2013-07-15 11:24:04,13007866CF10A,2013-06-03,,43,F,False Ownership Info/Pawn Item,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-16,Risk of Violence,3,Low,2013-07-16,2013-09-09,2014-01-26,3,0,55,0,0 +4558,daniel cox,daniel,cox,2014-02-26,Male,1983-01-19,33,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-25 04:14:26,2014-03-04 02:26:37,14002666CF10A,2014-02-25,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,2,Low,2014-02-26,2014-02-25,2014-03-04,0,6,765,0,0 +4559,david doughty,david,doughty,2014-02-18,Male,1975-03-26,41,25 - 45,African-American,0,6,0,0,2,46,2014-04-05 12:50:01,2014-04-17 03:15:17,13017774MM10A,,2013-12-23,57,M,arrest case no charge,1,14005800MO10A,(MO3),0,2014-04-05,Petit Theft,2014-04-05,2014-04-17,,1,14006612MM10A,(M1),2014-04-20,Battery,Risk of Recidivism,6,Medium,2014-02-18,Risk of Violence,5,Medium,2014-02-18,2014-04-05,2014-04-17,2,0,46,1,1 +4560,angel hernandez,angel,hernandez,2013-10-01,Male,1978-09-04,37,25 - 45,Hispanic,0,1,0,0,1,-1,2013-09-30 10:22:08,2013-10-01 07:31:46,13018614MM10A,2013-09-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-09-30,2013-10-01,1,0,913,0,0 +4562,adrien petit,adrien,petit,2013-08-16,Male,1988-04-01,28,25 - 45,African-American,0,5,0,0,9,-1,2013-08-15 12:50:23,2013-08-17 04:14:04,13015497MM10A,2013-08-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-16,Risk of Violence,4,Low,2013-08-16,2013-08-15,2013-08-17,9,1,959,0,0 +4563,chercolby sweet-foy,chercolby,sweet-foy,2013-02-26,Female,1990-12-16,25,25 - 45,African-American,0,5,0,0,0,-1,2013-02-25 10:08:13,2013-02-26 12:52:06,13002860CF10A,2013-02-25,,1,F,Aggravated Assault W/dead Weap,1,13010198CF10A,(F3),0,2013-07-20,Agg Assault W/int Com Fel Dome,2013-07-20,2013-07-21,,1,13010198CF10A,(F3),2013-07-20,Agg Assault W/int Com Fel Dome,Risk of Recidivism,5,Medium,2013-02-26,Risk of Violence,5,Medium,2013-02-26,2013-07-20,2013-07-21,0,0,144,1,1 +4564,luis perez,luis,perez,2013-11-16,Male,1965-03-16,51,Greater than 45,Other,0,4,0,0,14,496,2015-03-27 01:02:00,2015-03-31 01:36:21,10007133CF10A,2010-04-21,,1305,F,Grand Theft (motor Vehicle),1,15004534MM10A,(M1),,2015-03-15,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-16,Risk of Violence,2,Low,2013-11-16,2015-04-08,2015-04-30,14,0,484,1,1 +4566,latura hall,latura,hall,2013-02-03,Female,1985-09-24,30,25 - 45,African-American,0,4,0,0,1,-1,2013-02-02 05:10:03,2013-02-04 05:37:02,13002402MM10A,2013-02-02,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-03,Risk of Violence,3,Low,2013-02-03,2013-02-02,2013-02-04,1,1,1153,0,0 +4567,valencia wilsonbrown,valencia,wilsonbrown,2013-04-19,Female,1968-08-04,47,Greater than 45,African-American,0,2,0,0,0,-2,2013-04-17 11:16:09,2013-04-18 08:01:15,13007461MM10A,2013-04-17,,2,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-17,2013-04-18,0,0,1078,0,0 +4568,samantha lynch,samantha,lynch,2014-02-19,Male,1992-02-21,24,Less than 25,Caucasian,0,2,0,0,0,-1,2014-02-18 01:35:21,2014-02-19 10:08:11,14002294CF10A,2014-02-18,,1,F,Grand Theft in the 3rd Degree,1,14001353MM30A,(M1),,2014-08-15,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-19,Risk of Violence,3,Low,2014-02-19,2014-02-18,2014-02-19,0,0,177,1,1 +4569,tyson harper,tyson,harper,2013-08-29,Male,1978-10-02,37,25 - 45,Caucasian,0,5,0,0,5,-105,2013-05-16 10:40:48,2013-08-29 10:25:21,12002486MM10A,,2013-05-17,104,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-29,Risk of Violence,1,Low,2013-08-29,2014-07-18,2014-12-02,5,0,323,0,0 +4574,christian mcdaniel,christian,mcdaniel,2013-01-13,Male,1984-11-25,31,25 - 45,Caucasian,0,8,0,0,9,0,2013-01-13 03:26:50,2013-05-10 01:28:33,11014072CF10A,,2013-01-13,0,F,arrest case no charge,1,14000700CF10A,(F3),0,2014-01-17,Possession of Cocaine,2014-01-17,2014-01-17,,1,14004052CF10A,(F3),2014-03-22,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2013-01-13,Risk of Violence,4,Low,2013-01-13,2014-01-17,2014-01-17,9,117,369,0,1 +4576,christina deluca,christina,deluca,2013-03-20,Female,1986-01-18,30,25 - 45,Caucasian,0,3,0,0,1,-43,2013-02-05 04:36:11,2013-02-05 07:27:49,13001785CF10A,2013-02-05,,43,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-20,Risk of Violence,2,Low,2013-03-20,2013-02-05,2013-02-05,1,0,1108,0,0 +4579,lee wright,lee,wright,2013-05-26,Male,1963-09-04,52,Greater than 45,African-American,0,4,0,0,0,-1,2013-05-25 08:17:56,2013-06-20 08:38:12,13007488CF10A,2013-05-25,,1,F,Neglect Child / Bodily Harm,1,14005961CF10A,(F3),0,2014-04-29,Driving While License Revoked,2014-04-29,2014-04-30,,0,,,,,Risk of Recidivism,4,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2014-04-29,2014-04-30,0,25,338,1,1 +4580,darren mcbride,darren,mcbride,2013-03-20,Male,1990-12-12,25,25 - 45,African-American,0,10,0,1,5,-1,2013-03-19 07:14:55,2013-11-10 12:29:30,13003967CF10A,2013-03-19,,1,F,Poss Meth/Diox/Meth/Amp (MDMA),1,14013036CF10A,(F3),0,2014-09-26,Possession of Cocaine,2014-09-26,2014-09-27,,0,,,,,Risk of Recidivism,10,High,2013-03-20,Risk of Violence,8,High,2013-03-20,2014-09-26,2014-09-27,5,235,555,1,1 +4581,frank battle,frank,battle,2013-09-10,Male,1955-09-10,60,Greater than 45,African-American,0,9,0,0,10,,,,12005812CF10A,,2013-05-29,104,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-10,Risk of Violence,4,Low,2013-09-10,2008-02-21,2009-08-18,10,0,934,0,0 +4582,renee monroe,renee,monroe,2013-03-19,Female,1969-07-27,46,Greater than 45,African-American,0,8,0,0,7,-1,2013-03-18 11:13:20,2013-04-06 08:43:39,13005330MM10A,2013-03-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-19,Risk of Violence,3,Low,2013-03-19,2013-03-18,2013-04-06,7,18,1109,0,0 +4584,scott jonas,scott,jonas,2013-04-18,Male,1953-09-17,62,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-04-17 12:42:29,2013-04-18 01:50:29,13007466MM10A,2013-04-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-04-17,2013-04-18,3,0,1079,0,0 +4586,peter samuels,peter,samuels,2013-04-27,Male,1958-12-10,57,Greater than 45,Other,0,4,0,0,10,246,2013-12-29 01:34:37,2014-06-29 01:24:47,13006061CF10A,2013-04-27,,0,F,Possession of Cocaine,1,13017920CF10A,(F3),0,2013-12-29,Felony Petit Theft,2013-12-29,2014-06-29,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,3,Low,2013-04-27,2013-12-29,2014-06-29,10,0,246,1,1 +4587,william mckinley,william,mckinley,2014-08-21,Male,1979-08-07,36,25 - 45,Caucasian,0,7,0,0,0,-1,2014-08-20 11:37:21,2014-08-26 09:21:52,14012584MM10A,2014-08-20,,1,M,Battery,1,14012841MM10A,(M1),0,2014-08-27,Viol Pretrial Release Dom Viol,2014-08-27,2014-08-28,,0,,,,,Risk of Recidivism,7,Medium,2014-08-21,Risk of Violence,4,Low,2014-08-21,2014-08-27,2014-08-28,0,5,6,1,1 +4588,andre robinson,andre,robinson,2014-04-26,Male,1991-10-04,24,Less than 25,African-American,0,3,0,1,2,-1,2014-04-25 07:31:18,2014-05-06 04:48:36,14005768CF10A,2014-04-25,,1,F,Trans/Harm/Material to a Minor,1,14083273TC30A,(M2),,2014-10-03,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2014-04-26,Risk of Violence,4,Low,2014-04-26,2014-04-25,2014-05-06,2,10,160,1,1 +4590,jason figueroa,jason,figueroa,2014-09-14,Male,1978-09-08,37,25 - 45,Hispanic,0,2,0,0,3,-1,2014-09-13 01:30:45,2014-09-15 03:15:00,14012445CF10A,2014-09-13,,1,M,Felony Battery (Dom Strang),1,15058119TC20A,(M2),35,2015-10-13,Driving License Suspended,2015-11-17,2015-11-23,,0,,,,,Risk of Recidivism,2,Low,2014-09-14,Risk of Violence,1,Low,2014-09-14,2015-09-11,2015-09-22,3,1,362,0,1 +4591,clinton johnson,clinton,johnson,2013-01-06,Male,1991-01-15,25,25 - 45,Caucasian,0,9,2,1,9,0,2013-01-06 04:36:22,2013-03-01 07:44:45,12007890CF10A,,2013-01-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-06,Risk of Violence,9,High,2013-01-06,2013-01-06,2013-03-01,9,54,1181,0,0 +4592,kenyatti collins,kenyatti,collins,2013-09-10,Male,1995-01-06,21,Less than 25,African-American,0,10,0,1,0,-1,2013-09-09 08:02:10,2013-10-14 08:09:28,13017212MM10A,2013-09-09,,1,M,Battery,1,13021107MM10A,(M1),0,2013-11-08,Resist/Obstruct W/O Violence,2013-11-08,2013-11-23,,0,,,,,Risk of Recidivism,10,High,2013-09-10,Risk of Violence,9,High,2013-09-10,2013-11-08,2013-11-23,0,34,59,1,1 +4593,talal abouhana,talal,abouhana,2013-02-17,Male,1978-04-19,38,25 - 45,Asian,0,1,0,0,0,-1,2013-02-16 08:04:12,2013-02-17 01:58:20,13003376MM10A,2013-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-17,Risk of Violence,1,Low,2013-02-17,2013-02-16,2013-02-17,0,0,1139,0,0 +4595,baron howard,baron,howard,2013-01-04,Male,1986-05-24,29,25 - 45,African-American,0,7,0,0,5,-1,2013-01-03 05:32:52,2013-01-08 05:47:07,13000107CF10A,2013-01-03,,1,F,Possession of Cannabis,1,13019750TC10A,(M2),,2013-01-24,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-04,Risk of Violence,5,Medium,2013-01-04,2013-01-03,2013-01-08,5,4,20,1,1 +4596,raynard middleton,raynard,middleton,2013-04-19,Male,1963-10-29,52,Greater than 45,African-American,0,1,0,0,0,0,2013-04-19 02:24:36,2013-04-19 07:57:07,13007616MM10A,2013-04-18,,1,M,Battery,1,14001309TC10A,(M2),,2013-07-24,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-19,2013-04-19,0,0,96,1,1 +4598,nikevis mitchell,nikevis,mitchell,2013-05-10,Male,1986-05-07,29,25 - 45,African-American,0,10,0,0,5,-1,2013-05-09 01:29:58,2013-05-11 06:16:17,13006644CF10A,2013-05-09,,1,F,Possession Burglary Tools,1,15001535MM30A,(M1),,2015-09-10,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,10,High,2013-05-10,Risk of Violence,8,High,2013-05-10,2013-05-09,2013-05-11,5,1,853,1,0 +4599,yves guignard,yves,guignard,2014-03-15,Male,1956-11-28,59,Greater than 45,African-American,0,2,0,0,13,-1,2014-03-14 04:07:11,2014-11-11 11:32:54,14003627CF10A,2014-03-14,,1,F,Felony Petit Theft,1,15000830CF10A,(F3),0,2015-01-19,Felony Petit Theft,2015-01-19,2015-04-07,,0,,,,,Risk of Recidivism,2,Low,2014-03-15,Risk of Violence,2,Low,2014-03-15,2015-01-19,2015-04-07,13,241,310,1,1 +4603,eric taylor,eric,taylor,2013-02-16,Male,1976-08-08,39,25 - 45,African-American,0,3,0,0,2,0,2013-02-16 03:49:30,2013-02-16 08:09:00,13002423CF10A,2013-02-16,,0,F,Possession of Cannabis,1,15025409TC10A,(M2),,2015-09-01,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-16,Risk of Violence,1,Low,2013-02-16,2013-02-16,2013-02-16,2,0,927,1,0 +4604,ovidio vasquez,ovidio,vasquez,2013-02-28,Male,1968-01-08,48,Greater than 45,Hispanic,0,1,0,0,1,0,2013-02-28 02:24:37,2013-08-14 11:30:08,13004137MM10A,2013-02-27,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-28,Risk of Violence,1,Low,2013-02-28,2013-02-28,2013-08-14,1,167,1128,0,0 +4605,suzette tillit,suzette,tillit,2013-05-04,Male,1984-07-15,31,25 - 45,Other,0,1,0,0,3,-1,2013-05-03 12:37:24,2013-05-04 05:39:19,13008631MM10A,2013-05-03,,1,M,Battery,1,14001219MM30A,(M2),,2013-12-20,Criminal Mischief,,,,1,14001219MM30A,(M1),2013-12-20,Battery,Risk of Recidivism,1,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-05-03,2013-05-04,3,0,230,1,1 +4608,jeffrey telsaint,jeffrey,telsaint,2013-05-03,Male,1995-04-27,20,Less than 25,African-American,0,10,1,1,1,-1,2013-05-02 01:33:54,2013-05-07 05:29:14,13006309CF10A,2013-05-02,,1,F,Burglary Conveyance Unoccup,1,13019738MM10A,(M2),,2013-09-15,Petit Theft,,,,0,,,,,Risk of Recidivism,10,High,2013-05-03,Risk of Violence,8,High,2013-05-03,2013-05-02,2013-05-07,1,4,135,1,1 +4609,suong huynh,suong,huynh,2013-11-09,Male,1965-10-18,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-08 09:47:29,2013-11-09 01:50:35,13021131MM10A,2013-11-08,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-09,Risk of Violence,1,Low,2013-11-09,2013-12-09,2013-12-10,0,0,30,0,0 +4610,devan bryant,devan,bryant,2013-02-15,Male,1989-03-27,27,25 - 45,African-American,0,9,0,0,7,-1,2013-02-14 05:38:06,2013-02-18 07:11:15,13002335CF10A,2013-02-14,,1,F,Burglary Structure Unoccup,1,13013032CF10A,(M2),1,2013-09-14,Unlaw LicTag/Sticker Attach,2013-09-15,2014-03-31,,0,,,,,Risk of Recidivism,9,High,2013-02-15,Risk of Violence,8,High,2013-02-15,2013-02-14,2013-02-18,7,3,211,1,1 +4611,alonzo long,alonzo,long,2013-09-27,Male,1988-07-07,27,25 - 45,African-American,0,1,0,0,0,0,2013-09-27 01:08:40,2013-09-28 01:42:06,13018441MM10A,2013-09-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-27,Risk of Violence,2,Low,2013-09-27,2013-09-27,2013-09-28,0,1,917,0,0 +4612,andrew senra,andrew,senra,2014-07-26,Male,1985-02-14,31,25 - 45,Caucasian,0,7,0,0,4,-1,2014-07-25 05:19:54,2014-07-30 09:23:17,14010164CF10A,2014-07-25,,1,F,Felony Petit Theft,1,14011714MM10A,(M2),1,2014-08-02,Petit Theft,2014-08-03,2014-09-08,,0,,,,,Risk of Recidivism,7,Medium,2014-07-26,Risk of Violence,2,Low,2014-07-26,2014-07-25,2014-07-30,4,4,7,1,1 +4613,shirlene joseph,shirlene,joseph,2013-01-11,Female,1983-06-27,32,25 - 45,African-American,0,3,0,0,2,340,2013-12-17 12:16:41,2014-03-05 04:11:58,12001290CF10A,2012-01-25,,352,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-11,Risk of Violence,2,Low,2013-01-11,2013-12-17,2014-03-05,2,0,340,0,0 +4615,alexus jackson,alexus,jackson,2013-01-19,Female,1992-01-10,24,Less than 25,African-American,0,6,0,0,2,0,2013-01-19 06:28:29,2013-02-19 03:54:59,13003068TC10A,2013-01-19,,0,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-19,Risk of Violence,5,Medium,2013-01-19,2014-01-09,2014-01-09,2,31,355,0,0 +4616,reynaldo batista,reynaldo,batista,2013-02-20,Male,1992-04-06,24,Less than 25,African-American,0,9,0,0,4,-1,2013-02-19 07:52:29,2013-04-11 08:38:31,13002508CF10A,2013-02-19,,1,F,Grand Theft (Motor Vehicle),1,13014083CF10A,(F3),,2013-09-04,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,9,High,2013-02-20,Risk of Violence,9,High,2013-02-20,2013-02-19,2013-04-11,4,50,196,1,1 +4617,michael mallen,michael,mallen,2013-11-25,Male,1985-11-25,30,25 - 45,Caucasian,0,2,0,0,0,0,2013-11-25 01:45:02,2013-11-26 09:27:55,13022148MM10A,2013-11-24,,1,M,Possess Cannabis/20 Grams Or Less,1,14002904MM20A,(M1),,2014-10-15,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-25,Risk of Violence,3,Low,2013-11-25,2013-11-25,2013-11-26,0,1,324,1,1 +4618,alex louissaint,alex,louissaint,2013-10-22,Male,1995-01-05,21,Less than 25,African-American,1,6,1,0,2,-32,2013-09-20 10:32:05,2013-10-12 02:22:27,13013098CF10A,,2013-09-20,32,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-22,Risk of Violence,8,High,2013-10-22,2013-09-20,2013-10-12,2,0,892,0,0 +4620,fabio viana,fabio,viana,2013-02-18,Male,1974-12-10,41,25 - 45,Caucasian,0,2,0,0,0,0,2013-02-18 01:26:20,2013-02-18 06:29:40,13002455CF10A,2013-02-17,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-18,Risk of Violence,1,Low,2013-02-18,2013-02-18,2013-02-18,0,0,1138,0,0 +4622,donarth harris,donarth,harris,2013-05-22,Male,1977-12-15,38,25 - 45,Other,0,3,0,0,1,-1,2013-05-21 04:55:10,2013-05-22 03:30:14,13007263CF10A,2013-05-21,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,3,Low,2013-05-22,2013-05-21,2013-05-22,1,0,1045,0,0 +4624,prince brown,prince,brown,2014-01-04,Male,1983-09-17,32,25 - 45,African-American,0,8,0,0,2,0,2014-01-04 02:55:07,2014-01-23 10:05:15,14000150CF10A,2014-01-03,,1,F,Possession of Cocaine,1,14005731MM10A,(M1),0,2014-04-02,Battery,2014-04-02,2014-04-24,,1,14005731MM10A,(M1),2014-04-02,Battery,Risk of Recidivism,8,High,2014-01-04,Risk of Violence,6,Medium,2014-01-04,2014-04-02,2014-04-24,2,19,88,1,1 +4625,joseph massucco,joseph,massucco,2013-10-15,Male,1989-04-16,27,25 - 45,Caucasian,0,6,0,0,5,414,2014-12-03 01:33:47,2015-01-02 01:47:50,13014425CF10A,2013-10-15,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-15,Risk of Violence,3,Low,2013-10-15,2014-12-03,2015-01-02,5,0,414,0,0 +4626,amanda olek,amanda,olek,2013-01-22,Female,1992-02-05,24,Less than 25,Caucasian,0,5,0,0,1,,,,12013500CF10A,2012-09-13,,131,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-22,Risk of Violence,4,Low,2013-01-22,,,1,0,1165,0,0 +4627,therese patterson,therese,patterson,2013-09-30,Male,1946-08-20,69,Greater than 45,Caucasian,0,1,0,0,0,-4,2013-09-26 11:18:14,2013-09-27 07:30:11,13018346MM10A,2013-09-26,,4,M,DUI- Enhanced,1,13023761MM10A,(M1),1,2013-12-25,DUI- Enhanced,2013-12-26,2014-01-11,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-12-26,2014-01-11,0,0,86,1,1 +4628,james johnson,james,johnson,2013-02-08,Male,1991-03-23,25,25 - 45,Caucasian,0,9,0,0,1,0,2013-02-08 03:23:59,2013-04-08 04:29:04,13001970CF10A,2013-02-08,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-08,Risk of Violence,9,High,2013-02-08,2013-07-22,2013-07-30,1,59,164,0,0 +4629,kevin burns,kevin,burns,2013-10-10,Male,1961-04-16,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-09 05:20:59,2013-11-08 10:11:50,13019211MM10A,2013-10-09,,1,M,Battery,1,15009586MM10A,(M1),,2015-08-19,Battery,,,,1,15009586MM10A,(M1),2015-08-19,Battery,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,2,Low,2013-10-10,2013-10-09,2013-11-08,0,29,678,1,1 +4631,andre veira,andre,veira,2014-07-05,Male,1987-11-07,28,25 - 45,African-American,1,10,0,0,7,-1,2014-07-04 08:01:25,2014-07-05 08:26:16,14009213CF10A,2014-07-04,,1,F,Grand Theft in the 3rd Degree,1,14096127TC30A,(M2),78,2014-11-20,Operating W/O Valid License,2015-02-06,2015-02-07,,1,15006923CF10A,(F3),2015-03-01,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2014-07-05,Risk of Violence,7,Medium,2014-07-05,2014-11-12,2014-11-13,7,0,130,0,1 +4634,jared cohen,jared,cohen,2013-10-29,Male,1988-11-18,27,25 - 45,Caucasian,0,4,0,0,0,0,2013-10-29 02:55:04,2013-10-29 02:11:41,13020451MM10A,2013-10-29,,0,M,DUI Level 0.15 Or Minor In Veh,1,14076707TC20A,(M2),,2014-10-22,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-29,Risk of Violence,2,Low,2013-10-29,2013-10-29,2013-10-29,0,0,358,1,1 +4636,tiffany baker,tiffany,baker,2014-01-03,Female,1995-08-15,20,Less than 25,African-American,0,6,0,0,1,-1,2014-01-02 09:18:38,2014-01-03 10:38:34,14000104CF10A,2014-01-02,,1,F,Battery on Law Enforc Officer,1,14058273TC40A,(M2),,2014-08-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-03,Risk of Violence,7,Medium,2014-01-03,2014-01-02,2014-01-03,1,0,232,1,1 +4637,jordan roberts,jordan,roberts,2013-03-14,Male,1979-10-29,36,25 - 45,African-American,0,1,0,0,2,0,2013-03-14 12:03:58,2013-03-14 02:37:32,13003705CF10A,2013-03-13,,1,F,Driving While License Revoked,1,14000419MM40A,(M1),,2013-12-28,Forge Revoked Expired Credit Card,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-14,Risk of Violence,2,Low,2013-03-14,2014-02-06,2014-02-07,2,0,289,1,1 +4639,claudia arbelaez,claudia,arbelaez,2014-01-12,Female,1977-02-09,39,25 - 45,Hispanic,0,4,0,2,10,-1,2014-01-11 09:59:10,2014-01-12 02:30:18,14000497CF10A,2014-01-11,,1,F,Battery on a Person Over 65,1,14011313CF10A,(M1),1,2014-08-18,Resist/Obstruct W/O Violence,2014-08-19,2014-10-07,,1,14011313CF10A,(F3),2014-08-18,Battery on Law Enforc Officer,Risk of Recidivism,4,Low,2014-01-12,Risk of Violence,3,Low,2014-01-12,2016-03-23,2016-03-24,10,0,218,1,1 +4640,jermaine westbrook,jermaine,westbrook,2014-11-18,Male,1990-10-16,25,25 - 45,African-American,0,10,1,1,10,-4,2014-11-14 06:42:11,2014-11-22 05:17:00,14015356CF10A,2014-11-14,,4,F,Deliver Cocaine,1,15004405CF10A,(M1),0,2015-04-03,Trespass/Property/Other Structure,2015-04-03,2015-04-04,,0,,,,,Risk of Recidivism,10,High,2014-11-18,Risk of Violence,6,Medium,2014-11-18,2015-04-03,2015-04-04,10,4,136,1,1 +4641,elizabeth maddox,elizabeth,maddox,2013-01-02,Female,1981-02-20,35,25 - 45,Caucasian,0,4,0,0,1,-1,2013-01-01 10:04:07,2013-01-02 01:12:01,13000041MM10A,2013-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-02,Risk of Violence,2,Low,2013-01-02,2013-01-01,2013-01-02,1,0,1185,0,0 +4643,devorist calloway,devorist,calloway,2013-05-07,Male,1984-01-25,32,25 - 45,African-American,0,10,1,3,12,-1,2013-05-06 08:54:39,2013-05-08 02:59:50,13008754MM10A,2013-05-06,,1,M,Battery,1,13008651CF10A,(F3),0,2013-06-19,Pos Cannabis W/Intent Sel/Del,2013-06-19,2013-06-20,,1,14012818MM10A,(M1),2014-06-13,Battery,Risk of Recidivism,10,High,2013-05-07,Risk of Violence,6,Medium,2013-05-07,2013-06-19,2013-06-20,12,1,43,1,1 +4645,denzle langley,denzle,langley,2013-10-03,Male,1947-04-04,69,Greater than 45,Other,0,1,0,0,0,-1,2013-10-02 11:30:23,2013-10-03 08:15:01,13018771MM10A,2013-10-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-10-02,2013-10-03,0,0,911,0,0 +4647,mateus slovinski,mateus,slovinski,2013-12-16,Male,1994-10-17,21,Less than 25,Caucasian,0,6,0,1,1,-21,2013-11-25 09:39:37,2013-11-26 02:01:43,13022149MM10A,2013-11-25,,21,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-16,Risk of Violence,8,High,2013-12-16,2013-11-25,2013-11-26,1,0,837,0,0 +4648,imad farah,imad,farah,2013-05-08,Male,1974-11-11,41,25 - 45,Caucasian,0,1,0,0,1,0,2013-05-08 10:07:34,2013-05-10 11:57:26,12018476CF10A,,2013-05-08,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-08,Risk of Violence,1,Low,2013-05-08,2013-05-08,2013-05-10,1,2,1059,0,0 +4649,wilkins robles,wilkins,robles,2013-07-15,Male,1994-08-02,21,Less than 25,Hispanic,0,5,0,0,0,-3,2013-07-12 04:10:13,2013-07-13 01:26:10,13009825CF10A,2013-07-12,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-15,Risk of Violence,6,Medium,2013-07-15,2013-07-12,2013-07-13,0,0,991,0,0 +4651,zachary simon,zachary,simon,2013-01-27,Male,1977-05-27,38,25 - 45,African-American,0,8,0,0,0,-1,2013-01-26 08:27:54,2013-01-31 08:48:08,13001280CF10A,2013-01-26,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2013-01-26,2013-01-31,0,4,1160,0,0 +4652,terrin page,terrin,page,2014-04-30,Male,1995-04-18,21,Less than 25,African-American,0,9,0,0,1,-1,2014-04-29 04:12:31,2014-04-30 10:15:00,14005964CF10A,2014-04-29,,1,F,Tampering With Physical Evidence,1,15008167CF10A,(M1),0,2015-06-24,Resist/Obstruct W/O Violence,2015-06-24,2015-06-25,,0,,,,,Risk of Recidivism,9,High,2014-04-30,Risk of Violence,9,High,2014-04-30,2014-07-02,2014-07-03,1,0,63,0,1 +4655,mckenzy bienaime,mckenzy,bienaime,2013-05-04,Male,1984-05-08,31,25 - 45,Caucasian,0,8,0,0,10,185,2013-11-05 12:03:59,2013-11-05 02:05:25,11018233MM10A,2011-08-13,,630,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-04,Risk of Violence,4,Low,2013-05-04,2013-11-05,2013-11-05,10,0,185,0,0 +4657,pablo cabrera,pablo,cabrera,2013-08-27,Male,1980-09-17,35,25 - 45,Caucasian,0,2,0,0,2,0,2013-08-27 01:13:03,2013-09-30 06:47:08,13016322MM10A,2013-08-27,,0,M,Viol Prot Injunc Repeat Viol,1,14001030MM10A,(M1),183,2013-11-13,Viol Injunct Domestic Violence,2014-05-15,2014-07-03,,1,15001398CF10A,(F3),2014-07-01,Stalking (Aggravated),Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,3,Low,2013-08-27,2013-08-27,2013-09-30,2,34,78,1,1 +4658,bendik bienaime,bendik,bienaime,2013-03-27,Male,1981-08-26,34,25 - 45,African-American,0,6,0,0,5,-13,2013-03-14 10:36:21,2013-03-16 12:30:05,13005092MM10A,2013-03-14,,13,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,6,Medium,2013-03-27,2013-03-14,2013-03-16,5,0,1101,0,0 +4659,steven cooper,steven,cooper,2013-12-11,Male,1963-11-13,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-10 06:48:24,2013-12-11 01:30:42,13022861MM10A,2013-12-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2013-12-10,2013-12-11,0,0,842,0,0 +4660,raphale demeritte,raphale,demeritte,2013-01-08,Male,1994-10-16,21,Less than 25,African-American,0,8,0,0,0,-1,2013-01-07 09:42:31,2013-01-09 01:05:12,13000282CF10A,,2013-01-07,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-08,Risk of Violence,8,High,2013-01-08,2014-07-08,2014-07-08,0,1,546,0,0 +4661,patrick clark,patrick,clark,2014-03-06,Male,1973-03-17,43,25 - 45,African-American,0,2,0,0,8,-1,2014-03-05 03:32:15,2014-03-06 08:44:10,14003805MM10A,2014-03-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-06,Risk of Violence,2,Low,2014-03-06,2014-03-05,2014-03-06,8,0,757,0,0 +4662,nicole coggio,nicole,coggio,2013-01-28,Female,1983-09-20,32,25 - 45,Caucasian,0,2,0,0,0,-1,2013-01-27 12:16:14,2013-01-28 12:35:10,13001301CF10A,2013-01-26,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-28,Risk of Violence,2,Low,2013-01-28,2013-01-27,2013-01-28,0,0,1159,0,0 +4663,ulises ballate,ulises,ballate,2013-08-25,Male,1966-11-15,49,Greater than 45,Caucasian,0,6,0,0,5,-1,2013-08-24 09:57:23,2013-08-28 08:04:55,13011948CF10A,2013-08-24,,1,F,Robbery / No Weapon,1,14002484CF10A,(F1),2,2014-02-19,"Trafficking In Cocaine,+28-200",2014-02-21,2014-02-24,,0,,,,,Risk of Recidivism,6,Medium,2013-08-25,Risk of Violence,3,Low,2013-08-25,2013-08-24,2013-08-28,5,3,178,1,1 +4665,briana adhemar,briana,adhemar,2013-12-27,Female,1994-07-18,21,Less than 25,African-American,0,4,0,0,0,-1,2013-12-26 06:13:31,2013-12-27 07:35:30,13023835MM10A,2013-12-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-27,Risk of Violence,5,Medium,2013-12-27,2013-12-26,2013-12-27,0,0,826,0,0 +4667,guy toussaint,guy,toussaint,2013-02-17,Male,1988-01-05,28,25 - 45,African-American,0,5,0,0,5,-1,2013-02-16 04:10:07,2013-02-17 01:39:08,13002425CF10A,2013-02-16,,1,F,Crim Use of Personal ID Info,1,14009456MM10A,(M2),0,2014-06-16,Susp Drivers Lic 1st Offense,2014-06-16,2014-06-17,,0,,,,,Risk of Recidivism,5,Medium,2013-02-17,Risk of Violence,3,Low,2013-02-17,2014-06-16,2014-06-17,5,0,484,1,1 +4668,flora valliere,flora,valliere,2013-12-24,Female,1950-12-04,65,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-23 12:11:10,2013-12-23 01:21:39,13017624CF10A,2013-12-22,,2,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-24,Risk of Violence,1,Low,2013-12-24,2013-12-23,2013-12-23,1,0,829,0,0 +4670,vashty mayor,vashty,mayor,2013-02-16,Female,1988-07-14,27,25 - 45,Caucasian,0,3,0,0,0,0,2013-02-16 04:48:14,2013-02-17 09:06:22,13003401MM10A,2013-02-16,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-16,Risk of Violence,3,Low,2013-02-16,2013-02-16,2013-02-17,0,1,1140,0,0 +4671,travis vassel,travis,vassel,2014-08-23,Male,1986-10-09,29,25 - 45,Other,0,4,0,0,6,,,,14011481CF10A,2014-08-22,,1,F,Possession Burglary Tools,1,15004556CF10A,(F3),,2015-04-06,Neglect Child / No Bodily Harm,,,,0,,,,,Risk of Recidivism,4,Low,2014-08-23,Risk of Violence,3,Low,2014-08-23,,,6,0,226,1,1 +4672,kevin banning,kevin,banning,2013-10-21,Male,1968-01-12,48,Greater than 45,Caucasian,0,8,0,0,20,0,2013-10-21 06:11:11,2013-12-06 11:28:57,13014713CF10A,2013-10-21,,0,F,Possession of Cocaine,1,14000029MM10A,(M1),0,2014-01-01,Possess Cannabis/20 Grams Or Less,2014-01-01,2014-03-24,,0,,,,,Risk of Recidivism,8,High,2013-10-21,Risk of Violence,6,Medium,2013-10-21,2014-01-01,2014-03-24,20,46,72,1,1 +4673,romel jeanlouis,romel,jeanlouis,2013-03-19,Male,1990-12-04,25,25 - 45,African-American,0,8,0,1,1,620,2014-11-29 10:21:00,2015-03-14 04:18:32,13005309MM10A,2013-03-18,,1,M,Possess Cannabis/20 Grams Or Less,1,16002988CF10A,(F3),,2016-03-09,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-19,Risk of Violence,8,High,2013-03-19,2014-11-29,2015-03-14,1,0,620,0,0 +4674,kadeem joseph,kadeem,joseph,2013-12-27,Male,1995-07-31,20,Less than 25,African-American,0,3,0,0,0,-1,2013-12-26 06:15:07,2013-12-27 08:17:53,13023834MM10A,2013-12-26,,1,M,Battery,1,15037105TC40A,(M2),,2015-06-24,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-27,Risk of Violence,6,Medium,2013-12-27,2015-11-10,2015-11-11,0,0,544,1,1 +4675,kenneth tommie,kenneth,tommie,2013-10-24,Male,1967-01-25,49,Greater than 45,Other,0,6,0,0,7,0,2013-10-24 12:46:22,2013-11-06 11:22:21,13014898CF10A,2013-10-23,,1,F,Child Abuse,1,14042548TC10A,(M1),0,2014-11-09,Opert With Susp DL 2nd Offens,2014-11-09,2014-11-10,,0,,,,,Risk of Recidivism,6,Medium,2013-10-24,Risk of Violence,3,Low,2013-10-24,2014-11-09,2014-11-10,7,13,381,1,1 +4677,annonce georges,annonce,georges,2013-12-07,Male,1973-11-11,42,25 - 45,Other,0,3,0,0,6,-1,2013-12-06 03:17:43,2013-12-07 07:51:47,13022647MM10A,2013-12-06,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-07,Risk of Violence,1,Low,2013-12-07,2015-08-01,2015-08-01,6,0,602,0,0 +4678,larry king,larry,king,2013-04-22,Male,1952-08-16,63,Greater than 45,African-American,0,3,0,0,6,-1,2013-04-21 11:10:45,2013-05-16 06:46:14,10016314CF10A,,2013-04-22,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-22,Risk of Violence,2,Low,2013-04-22,2013-04-21,2013-05-16,6,24,1075,0,0 +4679,jose rivera,jose,rivera,2013-08-10,Male,1975-06-05,40,25 - 45,Caucasian,0,2,0,0,0,0,2013-08-10 12:52:53,2013-08-10 09:20:05,13015056MM10A,2013-08-09,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-10,Risk of Violence,1,Low,2013-08-10,2013-08-10,2013-08-10,0,0,965,0,0 +4680,ricardo centurion,ricardo,centurion,2013-04-12,Male,1981-11-16,34,25 - 45,Hispanic,0,2,0,0,0,-1,2013-04-11 09:53:54,2013-04-12 09:11:30,13005255CF10A,2013-04-11,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-04-11,2013-04-12,0,0,1085,0,0 +4681,tajdrick pratt,tajdrick,pratt,2013-04-11,Male,1994-11-27,21,Less than 25,African-American,0,10,0,0,1,0,2013-04-11 06:55:26,2013-07-06 08:21:51,13005387CF10A,2013-04-11,,0,F,Grand Theft in the 3rd Degree,1,13016267MM10A,(M1),0,2013-08-25,Possess Cannabis/20 Grams Or Less,2013-08-25,2013-08-27,,0,,,,,Risk of Recidivism,10,High,2013-04-11,Risk of Violence,9,High,2013-04-11,2013-08-25,2013-08-27,1,86,136,1,1 +4682,russell desvergers,russell,desvergers,2013-10-09,Male,1988-05-19,27,25 - 45,Caucasian,0,2,0,0,1,-1,2013-10-08 11:08:37,2013-10-09 08:35:23,13019140MM10A,2013-10-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-09,Risk of Violence,2,Low,2013-10-09,2013-10-08,2013-10-09,1,0,905,0,0 +4683,josue sanchez,josue,sanchez,2014-03-17,Male,1986-08-05,29,25 - 45,Hispanic,0,1,0,0,0,-1,2014-03-16 05:03:20,2014-03-17 08:53:08,14004563MM10A,2014-03-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-16,2014-03-17,0,0,746,0,0 +4684,clifford wellington,clifford,wellington,2014-11-11,Male,1981-04-15,35,25 - 45,Caucasian,0,10,0,0,0,-1,2014-11-10 09:33:20,2014-11-26 08:40:39,14016158MM10A,2014-11-10,,1,M,Battery,1,15012078MO10A,(MO3),4,2015-11-05,Resisting W/O Violence,2015-11-09,2015-11-20,,0,,,,,Risk of Recidivism,10,High,2014-11-11,Risk of Violence,5,Medium,2014-11-11,2014-11-10,2014-11-26,0,15,359,1,1 +4685,anthony miller,anthony,miller,2013-05-03,Male,1983-05-24,32,25 - 45,African-American,0,6,0,0,9,-39,2013-03-25 12:04:09,2013-05-03 05:44:03,12023383MM10A,,2013-03-24,40,M,arrest case no charge,1,15002222CF10A,(F3),0,2015-02-17,Possession of Cocaine,2015-02-17,2015-03-23,,0,,,,,Risk of Recidivism,6,Medium,2013-05-03,Risk of Violence,2,Low,2013-05-03,2013-08-22,2013-11-14,9,0,111,0,1 +4686,andria vassell,andria,vassell,2013-05-14,Female,1965-07-25,50,Greater than 45,African-American,0,1,0,0,0,-1,2013-05-13 09:20:14,2013-05-14 09:21:11,13009247MM10A,2013-05-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,2,Low,2013-05-14,2013-05-13,2013-05-14,0,0,1053,0,0 +4688,tramaine conley,tramaine,conley,2013-05-13,Male,1984-05-12,31,25 - 45,African-American,0,2,0,0,1,,,,13012254TC10A,2013-03-06,,68,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,,,1,0,1054,0,0 +4692,george sisler,george,sisler,2013-04-30,Male,1968-08-12,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-29 09:40:41,2013-04-30 01:06:20,13008304MM10A,2013-04-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-29,2013-04-30,0,0,1067,0,0 +4694,joseph torres,joseph,torres,2014-01-27,Male,1971-11-17,44,25 - 45,Caucasian,0,4,0,0,2,-2,2014-01-25 12:28:35,2014-01-25 04:53:46,14001375MM10A,2014-01-24,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-25,2014-01-25,2,0,795,0,0 +4695,victor sanchez,victor,sanchez,2014-07-31,Male,1972-04-19,44,25 - 45,Hispanic,0,1,0,0,8,-60,2014-06-01 06:59:25,2014-06-11 07:33:59,14007578CF10A,2014-06-01,,60,F,Aggravated Assault w/Firearm,1,15032004TC20A,(M2),,2015-05-17,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2014-07-31,Risk of Violence,2,Low,2014-07-31,2014-06-01,2014-06-11,8,0,290,1,1 +4696,jorge hourruitiner,jorge,hourruitiner,2013-12-26,Male,1960-03-03,56,Greater than 45,Hispanic,0,1,0,0,0,-2,2013-12-24 10:08:42,2013-12-25 11:53:05,13017769CF10A,2013-12-24,,2,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-26,Risk of Violence,1,Low,2013-12-26,2013-12-24,2013-12-25,0,0,827,0,0 +4697,eliott arcia,eliott,arcia,2013-10-13,Male,1992-10-05,23,Less than 25,African-American,0,3,0,0,0,-1,2013-10-12 10:31:42,2013-10-25 08:54:33,13019373MM10A,2013-10-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-13,Risk of Violence,5,Medium,2013-10-13,2013-10-12,2013-10-25,0,12,901,0,0 +4698,abe navarro,abe,navarro,2013-03-20,Male,1961-12-22,54,Greater than 45,African-American,0,6,0,0,10,0,2013-03-20 01:48:12,2013-04-19 07:33:20,13004033CF10A,2013-03-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-20,2013-04-19,10,30,1108,0,0 +4699,justin jones,justin,jones,2013-12-11,Male,1994-11-08,21,Less than 25,African-American,1,4,0,1,1,-171,2013-06-23 07:30:09,2013-06-28 12:06:07,13001834CF10A,,2013-06-23,171,F,arrest case no charge,1,14021030TC10A,(M2),,2014-05-26,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-11,Risk of Violence,6,Medium,2013-12-11,2015-01-22,2015-12-26,1,0,166,1,1 +4701,robert sellars,robert,sellars,2013-08-18,Male,1977-04-27,38,25 - 45,Caucasian,0,10,0,0,17,-1,2013-08-17 04:00:03,2014-02-13 10:28:00,13011554CF10A,2013-08-17,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-18,Risk of Violence,8,High,2013-08-18,2013-08-17,2014-02-13,17,179,957,0,0 +4703,gary camilo,gary,camilo,2013-02-11,Male,1990-12-10,25,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-11 04:13:47,2013-02-11 06:53:25,13002139CF10A,2013-02-10,,1,F,Pos Cannabis W/Intent Sel/Del,1,13022555MM10A,(M1),,2013-11-06,Possess Cannabis/20 Grams Or Less,,,,1,15011390MM10A,(M1),2015-10-29,Battery,Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,3,Low,2013-02-11,2013-06-27,2013-06-28,0,0,136,0,1 +4704,vernon prater,vernon,prater,2013-08-08,Male,1972-03-03,44,25 - 45,Caucasian,0,3,0,0,2,-1,2013-08-07 04:18:39,2013-08-09 03:54:07,13011071CF10A,2013-08-07,,1,F,Felony Petit Theft,1,14008303CF10A,(F3),,2014-05-01,Burglary Structure Unoccup,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-08,Risk of Violence,3,Low,2013-08-08,2013-12-11,2013-12-20,2,1,125,0,1 +4705,jack brown,jack,brown,2013-04-08,Male,1964-03-28,52,Greater than 45,African-American,0,3,0,0,3,-1,2013-04-07 04:29:09,2013-05-08 07:10:38,13006640MM10A,2013-04-07,,1,M,Resist/Obstruct W/O Violence,1,13012960MM10A,(M1),0,2013-07-08,Resist/Obstruct W/O Violence,2013-07-08,2013-07-11,,0,,,,,Risk of Recidivism,3,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2013-07-08,2013-07-11,3,30,91,1,1 +4706,juanita carvello,juanita,carvello,2014-10-19,Female,1963-11-20,52,Greater than 45,Caucasian,0,2,0,0,0,-1,2014-10-18 03:53:27,2015-02-13 04:00:30,14014072CF10A,2014-10-18,,1,F,Felony Petit Theft,1,15013147CF10A,(F3),0,2015-10-10,Possession Of Alprazolam,2015-10-10,2015-11-12,,0,,,,,Risk of Recidivism,2,Low,2014-10-19,Risk of Violence,2,Low,2014-10-19,2015-10-10,2015-11-12,0,117,356,1,1 +4707,evelyn alcime,evelyn,alcime,2013-04-10,Male,1994-11-18,21,Less than 25,African-American,0,9,0,0,0,-1,2013-04-09 04:04:21,2013-04-09 07:12:48,13006874MM10A,2013-04-09,,1,M,Prowling/Loitering,1,13012812MO10A,(MO3),1,2013-07-05,Intoxicating Beverages,2013-07-06,2013-07-06,,0,,,,,Risk of Recidivism,9,High,2013-04-10,Risk of Violence,8,High,2013-04-10,2013-11-13,2013-11-13,0,0,86,1,1 +4708,jean valeus,jean,valeus,2013-12-18,Male,1984-11-25,31,25 - 45,African-American,0,2,0,0,4,-70,2013-10-09 10:45:21,2013-12-18 10:47:06,13015383CF10A,,2013-11-01,47,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-18,Risk of Violence,1,Low,2013-12-18,2013-10-09,2013-12-18,4,0,835,0,0 +4710,nicole montgomery,nicole,montgomery,2014-10-03,Female,1986-01-31,30,25 - 45,Caucasian,0,4,0,0,9,-19,2014-09-14 11:38:41,2014-09-19 01:42:46,14012638CF10A,,2014-09-17,16,F,arrest case no charge,1,14015915CF10A,(F3),0,2014-11-26,Grand Theft in the 3rd Degree,2014-11-26,2014-11-27,,0,,,,,Risk of Recidivism,4,Low,2014-10-03,Risk of Violence,2,Low,2014-10-03,2014-11-26,2014-11-27,9,0,54,1,1 +4711,carline germaine,carline,germaine,2013-08-08,Female,1977-03-01,39,25 - 45,African-American,0,1,0,0,1,-42,2013-06-27 08:42:08,2013-07-03 01:12:28,13009223CF10A,,2013-06-28,41,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,2013-06-27,2013-07-03,1,0,967,0,0 +4712,paul johnson,paul,johnson,2014-01-08,Male,1959-06-25,56,Greater than 45,African-American,0,2,0,0,6,-1,2014-01-07 11:08:37,2014-01-08 12:23:20,14000263CF10A,2014-01-07,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,1,Low,2014-01-08,2014-03-03,2014-03-11,6,0,54,0,0 +4715,jonathan williams,jonathan,williams,2013-01-05,Male,1981-02-09,35,25 - 45,African-American,0,8,0,0,12,-1,2013-01-04 09:20:34,2013-01-05 08:05:12,13000198CF10A,2013-01-04,,1,F,Possession of Oxycodone,1,14045663TC40A,(M2),245,2014-06-26,Driving License Suspended,2015-02-26,2015-04-22,,0,,,,,Risk of Recidivism,8,High,2013-01-05,Risk of Violence,7,Medium,2013-01-05,2014-01-22,2014-01-23,12,0,382,0,1 +4718,jeffery mann,jeffery,mann,2013-08-07,Male,1976-11-29,39,25 - 45,Caucasian,0,1,0,0,1,-29,2013-07-09 03:08:15,2013-08-07 10:44:26,13009621CF10A,2013-07-09,,29,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,2013-07-09,2013-08-07,1,0,968,0,0 +4719,lindsey jorgensen,lindsey,jorgensen,2013-12-28,Male,1986-06-01,29,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-28 06:06:48,2013-12-29 02:05:08,13023925MM10A,2013-12-28,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,2,Low,2013-12-28,2013-12-28,2013-12-29,0,1,825,0,0 +4720,alexandria smiley,alexandria,smiley,2013-02-12,Female,1988-04-02,28,25 - 45,Caucasian,0,8,0,0,3,,,,10018447CF10A,2010-10-14,,852,F,Felony Committing Prostitution,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-12,Risk of Violence,3,Low,2013-02-12,,,3,0,1144,0,0 +4721,jerel dowels,jerel,dowels,2014-08-16,Male,1992-10-02,23,Less than 25,African-American,0,5,0,0,2,-1,2014-08-15 07:16:13,2014-09-07 01:37:18,14011210CF10A,2014-08-15,,1,F,Grand Theft in the 3rd Degree,1,15007329CF10A,(F3),0,2015-06-05,Poss Pyrrolidinovalerophenone,2015-06-05,2015-06-06,,0,,,,,Risk of Recidivism,5,Medium,2014-08-16,Risk of Violence,8,High,2014-08-16,2015-06-05,2015-06-06,2,22,293,1,1 +4722,daniel heim,daniel,heim,2013-12-09,Male,1989-10-24,26,25 - 45,Caucasian,0,5,0,0,0,-2,2013-12-07 11:51:28,2013-12-08 02:29:07,13022678MM10A,2013-12-07,,2,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-09,Risk of Violence,3,Low,2013-12-09,2013-12-07,2013-12-08,0,0,844,0,0 +4724,mary grey,mary,grey,2014-08-13,Female,1951-04-27,64,Greater than 45,African-American,0,1,0,0,1,-1,2014-08-12 09:44:31,2014-08-13 02:06:22,14012183MM10A,2014-08-12,,1,M,Resist/Obstruct W/O Violence,1,14012941CF10A,(M1),0,2014-09-24,Tampering With Physical Evidence,2014-09-24,2014-09-26,,0,,,,,Risk of Recidivism,1,Low,2014-08-13,Risk of Violence,1,Low,2014-08-13,2014-09-24,2014-09-26,1,0,42,1,1 +4725,sharon johnson,sharon,johnson,2013-02-28,Female,1964-12-02,51,Greater than 45,African-American,1,10,0,0,10,173,2013-08-20 06:30:52,2013-10-24 11:30:00,11019445CF10A,,2012-08-16,196,F,arrest case no charge,1,16002338MM10A,(M2),,2016-02-25,Petit Theft,,,,0,,,,,Risk of Recidivism,10,High,2013-02-28,Risk of Violence,6,Medium,2013-02-28,2013-08-20,2013-10-24,10,0,173,0,0 +4726,venetta mapp,venetta,mapp,2014-03-07,Female,1958-02-15,58,Greater than 45,Other,0,1,0,0,0,-1,2014-03-06 07:46:10,2014-03-07 09:31:06,14003198CF10A,2014-03-06,,1,F,Harass Witness/Victm/Informnt,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-07,Risk of Violence,1,Low,2014-03-07,2014-03-06,2014-03-07,0,0,756,0,0 +4730,patrick niesterczuk,patrick,niesterczuk,2014-01-08,Male,1995-06-23,20,Less than 25,Caucasian,0,2,0,2,1,-1,2014-01-07 12:20:20,2014-01-09 03:36:00,14000273CF10A,2014-01-07,,1,F,Grand Theft of the 2nd Degree,1,14067890TC20A,(M2),,2014-09-22,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,5,Medium,2014-01-08,2014-06-30,2014-07-04,1,1,173,0,1 +4731,taro beneby,taro,beneby,2013-08-17,Male,1994-11-27,21,Less than 25,African-American,0,5,0,0,0,-1,2013-08-16 08:09:44,2013-09-27 10:31:00,13011520CF10A,2013-08-16,,1,F,Grand Theft in the 3rd Degree,1,14002797CF10A,(F3),,2013-11-01,Child Abuse,,,,1,14002797CF10A,(F3),2013-11-01,Child Abuse,Risk of Recidivism,5,Medium,2013-08-17,Risk of Violence,7,Medium,2013-08-17,2013-08-16,2013-09-27,0,41,76,1,1 +4732,glenn weston,glenn,weston,2013-02-16,Male,1995-01-31,21,Less than 25,African-American,0,5,0,0,0,-1,2013-02-15 02:16:11,2013-04-03 01:53:18,13002367CF10A,2013-02-15,,1,F,Burglary Unoccupied Dwelling,1,15064458TC40A,(M2),,2015-11-04,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-16,Risk of Violence,8,High,2013-02-16,2013-02-15,2013-04-03,0,46,991,1,0 +4735,clevent louima,clevent,louima,2013-08-11,Male,1992-10-09,23,Less than 25,African-American,0,7,0,0,0,-1,2013-08-10 04:10:11,2013-08-12 07:20:06,13011247CF10A,2013-08-10,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-11,Risk of Violence,8,High,2013-08-11,2014-01-01,2014-06-03,0,1,143,0,0 +4737,david robinson,david,robinson,2013-08-23,Male,1970-02-28,46,Greater than 45,African-American,0,4,0,0,3,-1,2013-08-22 10:32:02,2013-08-24 12:37:15,13011344CF10A,,2013-08-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,3,Low,2013-08-23,2013-08-22,2013-08-24,3,1,952,0,0 +4739,ellis carswell,ellis,carswell,2013-03-13,Male,1990-08-22,25,25 - 45,African-American,0,9,13,1,21,0,2013-03-13 07:16:40,2013-07-09 01:29:43,13003718CF10A,2013-03-13,,0,F,Driving While License Revoked,1,13016232CF10A,(F3),0,2013-11-22,Possession of Cannabis,2013-11-22,2014-03-06,,0,,,,,Risk of Recidivism,9,High,2013-03-13,Risk of Violence,9,High,2013-03-13,2013-11-22,2014-03-06,21,118,254,1,1 +4743,william rodriguez,william,rodriguez,2013-05-09,Male,1980-08-25,35,25 - 45,Hispanic,0,7,0,0,5,0,2013-05-09 02:43:09,2013-05-09 07:43:17,13006654CF10A,2013-05-09,,0,F,Possession of Cocaine,1,15007532CF10A,(F3),,2015-06-07,Felony Batt(Great Bodily Harm),,,,1,15007532CF10A,(F3),2015-06-07,Felony Batt(Great Bodily Harm),Risk of Recidivism,7,Medium,2013-05-09,Risk of Violence,5,Medium,2013-05-09,2016-03-08,2020-01-01,5,0,759,1,0 +4747,authry heard,authry,heard,2013-06-13,Male,1981-09-06,34,25 - 45,African-American,0,7,0,0,12,-63,2013-04-11 12:32:24,2013-06-12 11:30:22,13005174CF10A,2013-04-10,,64,F,Deliver Cocaine,1,16005747TC30A,(M2),,2015-09-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-06-13,Risk of Violence,6,Medium,2013-06-13,2013-04-11,2013-06-12,12,0,811,1,0 +4748,ebony wooden,ebony,wooden,2014-01-31,Female,1986-01-10,30,25 - 45,African-American,0,3,0,0,0,0,2014-01-31 01:38:00,2014-01-31 01:25:37,14001683MM10A,2014-01-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-31,Risk of Violence,2,Low,2014-01-31,2014-01-31,2014-01-31,0,0,791,0,0 +4749,denny rivera,denny,rivera,2014-01-24,Male,1968-10-09,47,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-01-23 06:45:57,2014-01-24 11:04:07,14001002CF10A,2014-01-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-23,2014-01-24,1,0,798,0,0 +4750,david ellis,david,ellis,2013-06-26,Male,1985-09-20,30,25 - 45,Caucasian,0,4,0,0,4,-25,2013-06-01 07:39:34,2013-06-05 03:36:50,13007791CF10A,2013-06-01,,25,F,Use of Anti-Shoplifting Device,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-26,Risk of Violence,2,Low,2013-06-26,2013-10-31,2013-11-07,4,0,127,0,0 +4753,jose carrascoe,jose,carrascoe,2013-12-01,Male,1982-08-31,33,25 - 45,Hispanic,0,1,0,0,0,,,,13022344MM10A,2013-11-30,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,,,0,0,852,0,0 +4754,robert kathary,robert,kathary,2013-02-22,Male,1969-01-15,47,Greater than 45,African-American,0,1,0,0,1,-23,2013-01-30 02:41:32,2013-01-31 02:44:11,13001490CF10A,2013-01-30,,23,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-05-03,2013-05-28,1,0,70,0,0 +4755,travis taylor,travis,taylor,2013-05-09,Male,1973-09-13,42,25 - 45,African-American,0,7,0,0,33,200,2013-11-25 11:23:22,2013-11-26 02:16:29,12001627CF10A,,2013-04-20,19,F,arrest case no charge,1,13022157MO10A,(MO3),0,2013-11-25,Loiter Where Sign is Posted,2013-11-25,2013-11-26,,0,,,,,Risk of Recidivism,7,Medium,2013-05-09,Risk of Violence,3,Low,2013-05-09,2013-11-25,2013-11-26,33,0,200,1,1 +4757,kenneth wright,kenneth,wright,2013-03-02,Male,1977-01-29,39,25 - 45,African-American,0,2,0,0,1,-1,2013-03-01 11:09:53,2013-03-02 08:39:59,13003119CF10A,2013-03-01,,1,F,Possession of Cocaine,1,14013764MM10A,(M2),,2014-08-10,Drinking Alch Beverage In Open,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-02,Risk of Violence,1,Low,2013-03-02,2013-03-01,2013-03-02,1,0,526,1,1 +4760,samuel lamie,samuel,lamie,2013-07-22,Male,1965-11-24,50,Greater than 45,Caucasian,0,2,0,0,11,-31,2013-06-21 11:46:14,2013-07-18 08:18:43,12016410CF10A,,2013-06-21,31,F,arrest case no charge,1,14007834CF10A,(F2),0,2014-06-06,Agg Battery Grt/Bod/Harm,2014-06-06,2014-09-04,,1,14007834CF10A,(F2),2014-06-06,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2013-07-22,Risk of Violence,1,Low,2013-07-22,2014-06-06,2014-09-04,11,0,319,1,1 +4761,marcos midence,marcos,midence,2013-04-12,Male,1985-11-29,30,25 - 45,Hispanic,0,2,0,0,2,-1,2013-04-11 09:18:16,2013-04-17 08:40:03,13015781TC10A,2013-04-11,,1,M,Susp Drivers Lic 1st Offense,1,14005855TC20A,(M2),,2014-01-19,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,2013-04-11,2013-04-17,2,5,282,1,1 +4763,jessica brekke,jessica,brekke,2013-04-04,Male,1992-04-10,24,Less than 25,Caucasian,0,3,0,2,1,-1,2013-04-03 11:02:12,2013-04-04 01:29:44,13004768CF10A,2013-04-03,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,4,Low,2013-04-04,2013-04-03,2013-04-04,1,0,1093,0,0 +4764,ssecrette brown,ssecrette,brown,2013-01-14,Female,1993-10-07,22,Less than 25,African-American,0,9,0,0,2,,,,12016221CF10A,2012-11-03,,72,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-14,Risk of Violence,6,Medium,2013-01-14,,,2,0,1173,0,0 +4765,andrew barnett,andrew,barnett,2013-08-20,Male,1970-09-06,45,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-08-19 04:52:26,2013-08-20 07:11:45,13011617CF10A,2013-08-19,,1,F,Aggrav Stalking After Injunctn,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-20,3,0,955,0,0 +4766,matthew jordan,matthew,jordan,2014-09-20,Male,1990-03-05,26,25 - 45,Caucasian,0,9,0,0,2,-1,2014-09-19 07:09:49,2014-09-20 06:58:35,14012702CF10A,2014-09-19,,1,F,Grand Theft in the 3rd Degree,1,14016455CF10A,(F3),0,2014-12-11,Grand Theft in the 3rd Degree,2014-12-11,2014-12-12,,0,,,,,Risk of Recidivism,9,High,2014-09-20,Risk of Violence,3,Low,2014-09-20,2014-12-11,2014-12-12,2,0,82,1,1 +4767,victor malaric,victor,malaric,2013-03-24,Male,1977-01-06,39,25 - 45,Caucasian,0,2,0,0,3,0,2013-03-24 02:38:00,2013-03-24 08:58:43,13004251CF10A,2013-03-24,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-24,Risk of Violence,1,Low,2013-03-24,2013-03-24,2013-03-24,3,0,1104,0,0 +4769,sean mccabe,sean,mccabe,2013-08-15,Male,1976-04-17,40,25 - 45,Caucasian,0,3,0,0,1,-1,2013-08-14 11:28:56,2013-09-25 11:09:03,13011437CF10A,2013-08-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2014-06-02,2014-06-09,1,41,291,0,0 +4772,bernard parker,bernard,parker,2013-01-21,Male,1991-08-16,24,Less than 25,African-American,0,10,0,0,0,-1,2013-01-20 09:19:10,2013-01-21 08:17:47,13000939CF10A,2013-01-20,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-21,Risk of Violence,6,Medium,2013-01-21,2013-01-20,2013-01-21,0,0,1166,0,0 +4773,alexandrea miles,alexandrea,miles,2014-01-05,Male,1992-12-30,23,Less than 25,African-American,0,7,0,1,1,-1,2014-01-04 09:53:02,2014-01-05 08:05:17,12005832CF10A,2012-04-18,,627,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-05,Risk of Violence,4,Low,2014-01-05,2014-01-04,2014-01-05,1,0,817,0,0 +4774,douglas mason,douglas,mason,2013-03-01,Male,1954-10-05,61,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-01 05:14:32,2013-03-01 01:48:41,13004215MM10A,2013-03-01,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-01,0,0,1127,0,0 +4775,derek modrok,derek,modrok,2013-09-07,Male,1973-11-16,42,25 - 45,Caucasian,0,5,0,0,3,0,2013-09-07 12:53:53,2013-09-07 01:14:30,13012618CF10A,2013-09-06,,1,F,Solicitation On Felony 3 Deg,1,14005616CF10A,(M1),0,2014-04-14,Resist/Obstruct W/O Violence,2014-04-14,2014-08-19,,0,,,,,Risk of Recidivism,5,Medium,2013-09-07,Risk of Violence,3,Low,2013-09-07,2014-04-14,2014-08-19,3,0,219,1,1 +4776,timothy edwards,timothy,edwards,2013-01-09,Male,1977-06-26,38,25 - 45,African-American,0,2,0,0,3,0,2013-01-09 01:30:22,2013-01-13 09:57:39,13000326CF10A,2013-01-08,,1,F,Felony Battery (Dom Strang),1,13039168TC30A,(M2),,2013-04-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2013-01-09,2013-01-13,3,4,98,1,1 +4778,louis delvecchio,louis,delvecchio,2013-02-17,Male,1948-09-20,67,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-16 06:55:46,2013-03-12 09:26:51,13002402CF10A,2013-02-16,,1,F,Grand Theft in the 3rd Degree,1,13005675MM10A,(M1),0,2013-03-22,Trespass Other Struct/Convey,2013-03-22,2013-03-23,,0,,,,,Risk of Recidivism,1,Low,2013-02-17,Risk of Violence,1,Low,2013-02-17,2013-03-22,2013-03-23,0,23,33,1,1 +4780,jeffrey tapia,jeffrey,tapia,2014-01-02,Male,1993-02-14,23,Less than 25,Caucasian,0,6,0,0,2,-20,2013-12-13 02:14:06,2013-12-21 02:08:04,13017246CF10A,2013-12-12,,21,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-02,Risk of Violence,7,Medium,2014-01-02,2013-12-13,2013-12-21,2,0,820,0,0 +4783,guy adoni,guy,adoni,2014-12-08,Male,1985-01-06,31,25 - 45,Caucasian,0,4,0,0,1,0,2014-12-08 03:19:16,2014-12-08 09:16:06,14016311CF10A,2014-12-08,,0,F,Possession Of Heroin,1,15004454CF10A,(F3),0,2015-04-05,Possession Of Carisoprodol,2015-04-05,2015-05-01,,0,,,,,Risk of Recidivism,4,Low,2014-12-08,Risk of Violence,2,Low,2014-12-08,2015-04-05,2015-05-01,1,0,118,1,1 +4784,arthur morgan,arthur,morgan,2013-04-11,Male,1976-01-15,40,25 - 45,African-American,1,8,0,0,15,-1,2013-04-10 11:19:32,2013-06-04 05:08:34,07016234CF10A,,2013-04-10,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-11,Risk of Violence,6,Medium,2013-04-11,2013-04-10,2013-06-04,15,54,1086,0,0 +4787,paul brown,paul,brown,2013-01-03,Male,1971-06-16,44,25 - 45,African-American,0,2,0,0,0,-1,2013-01-02 11:12:01,2013-01-06 01:18:20,13000082CF10A,,2013-01-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-02,2013-01-06,0,3,1184,0,0 +4789,ronald lang,ronald,lang,2013-10-12,Male,1979-02-25,37,25 - 45,African-American,0,7,0,0,10,-1,2013-10-11 07:41:36,2013-10-12 01:52:54,13014267CF10A,2013-10-11,,1,F,Leaving the Scene of Accident,1,14012760TC40A,(M2),119,2014-02-14,Driving License Suspended,2014-06-13,2015-02-10,,0,,,,,Risk of Recidivism,7,Medium,2013-10-12,Risk of Violence,2,Low,2013-10-12,2014-06-13,2015-02-10,10,0,125,1,1 +4792,nicole hewitt,nicole,hewitt,2013-10-29,Female,1994-04-11,22,Less than 25,African-American,0,9,1,0,3,-2,2013-10-27 04:53:42,2013-10-28 07:53:41,13020365MM10A,2013-10-27,,2,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-29,Risk of Violence,6,Medium,2013-10-29,2013-10-27,2013-10-28,3,0,885,0,0 +4793,joseph falcon,joseph,falcon,2013-05-09,Male,1984-06-29,31,25 - 45,Caucasian,0,3,0,0,6,0,2013-05-09 03:25:21,2013-05-09 08:48:54,13008988MM10A,2013-05-09,,0,M,Battery,1,14001662MM10A,(M1),,2013-11-27,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-09,Risk of Violence,2,Low,2013-05-09,2013-05-09,2013-05-09,6,0,202,1,1 +4794,brian murzike,brian,murzike,2014-10-19,Male,1988-03-09,28,25 - 45,African-American,0,7,0,0,9,-1,2014-10-18 02:15:40,2014-12-10 04:18:26,14016901CF10A,2014-10-18,,1,F,Cash Item w/Intent to Defraud,1,15000289MM20A,(M1),,2014-12-30,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,7,Medium,2014-10-19,Risk of Violence,7,Medium,2014-10-19,2014-10-18,2014-12-10,9,52,72,1,1 +4795,lancy duggins,lancy,duggins,2013-05-15,Male,1958-12-27,57,Greater than 45,African-American,0,8,0,0,2,,,,11003377CF10A,2011-02-23,,812,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-15,Risk of Violence,4,Low,2013-05-15,2003-05-16,2003-11-08,2,0,1052,0,0 +4796,cassio slowden,cassio,slowden,2013-03-23,Male,1991-10-05,24,Less than 25,Other,0,6,0,0,5,-1,2013-03-22 03:39:01,2013-03-27 12:03:14,13000174MM10A,,2013-03-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-23,Risk of Violence,4,Low,2013-03-23,2013-11-27,2013-12-04,5,4,249,0,0 +4797,claudio tamarez,claudio,tamarez,2013-04-14,Male,1983-02-08,33,25 - 45,Caucasian,0,4,0,0,9,0,2013-04-14 01:37:01,2013-04-14 07:07:32,13005352CF10A,2013-04-14,,0,F,Possession Of Phentermine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,3,Low,2013-04-14,2013-06-12,2013-06-13,9,0,59,0,0 +4800,bryan taylor,bryan,taylor,2014-01-04,Female,1985-07-31,30,25 - 45,African-American,0,10,3,2,10,0,2014-01-04 02:07:28,2014-01-04 08:40:23,14000154CF10A,2014-01-04,,0,F,Possession of Cocaine,1,14004910MM10A,(M1),123,2014-01-06,Possess Cannabis/20 Grams Or Less,2014-05-09,2014-05-10,,0,,,,,Risk of Recidivism,10,High,2014-01-04,Risk of Violence,9,High,2014-01-04,2015-05-21,2020-01-01,10,0,2,1,1 +4801,elie dubois,elie,dubois,2013-08-22,Male,1984-12-29,31,25 - 45,Other,0,1,1,0,5,-1,2013-08-21 01:16:09,2013-08-22 08:48:59,13010985CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-22,Risk of Violence,2,Low,2013-08-22,2013-09-16,2013-11-09,5,0,25,0,0 +4802,stephen marsh,stephen,marsh,2014-03-28,Male,1959-09-19,56,Greater than 45,Caucasian,0,5,0,0,7,-38,2014-02-18 07:26:02,2014-02-27 08:35:02,14002311CF10A,2014-02-18,,38,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-28,Risk of Violence,1,Low,2014-03-28,2014-02-18,2014-02-27,7,0,735,0,0 +4804,cristino lozano,cristino,lozano,2013-09-16,Male,1949-03-24,67,Greater than 45,Hispanic,0,1,0,0,2,67,2013-11-22 01:09:28,2014-02-28 04:55:27,13011978CF10A,2013-03-24,,176,F,Fel Drive License Perm Revoke,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-11-22,2014-02-28,2,0,67,0,0 +4805,steven king,steven,king,2013-10-27,Male,1980-12-30,35,25 - 45,African-American,0,7,0,0,0,-1,2013-10-26 03:12:39,2013-10-27 08:21:18,13014981CF10A,2013-10-26,,1,F,"Poss3,4 Methylenedioxymethcath",1,13020505MM10A,(M2),0,2013-10-30,Susp Drivers Lic 1st Offense,2013-10-30,2013-10-31,,0,,,,,Risk of Recidivism,7,Medium,2013-10-27,Risk of Violence,3,Low,2013-10-27,2013-10-30,2013-10-31,0,0,3,1,1 +4808,john williams,john,williams,2013-02-21,Male,1958-10-08,57,Greater than 45,African-American,0,8,0,0,23,-1,2013-02-20 01:25:04,2013-03-22 05:54:39,13002585CF10A,,2013-02-20,1,F,arrest case no charge,1,15015357CF10A,(F2),,2015-11-29,Robbery / No Weapon,,,,1,15015357CF10A,(F2),2015-11-29,Robbery / No Weapon,Risk of Recidivism,8,High,2013-02-21,Risk of Violence,7,Medium,2013-02-21,2013-11-20,2014-08-07,23,29,272,0,1 +4809,emily holbrook,emily,holbrook,2014-11-11,Female,1976-10-13,39,25 - 45,Caucasian,0,7,0,0,8,-1,2014-11-10 12:01:25,2014-12-12 08:27:13,14015045CF10A,2014-11-09,,2,F,Poss Pyrrolidinovalerophenone,1,15001351CF10A,(F3),1,2015-01-28,Poss Pyrrolidinovalerophenone,2015-01-29,2015-03-09,,0,,,,,Risk of Recidivism,7,Medium,2014-11-11,Risk of Violence,5,Medium,2014-11-11,2014-11-10,2014-12-12,8,31,78,1,1 +4811,francis gibbons,francis,gibbons,2013-08-05,Male,1951-04-01,65,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-08-04 08:51:09,2013-08-27 12:24:30,13010824CF10A,2013-08-04,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-05,Risk of Violence,2,Low,2013-08-05,2013-09-26,2013-10-09,3,22,52,0,0 +4812,peyton nunes,peyton,nunes,2013-02-27,Female,1993-10-23,22,Less than 25,Caucasian,0,9,0,0,0,-1,2013-02-26 04:51:22,2013-02-27 09:49:12,13003994MM10A,2013-02-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-27,Risk of Violence,7,Medium,2013-02-27,2013-02-26,2013-02-27,0,0,1129,0,0 +4815,nicole howard,nicole,howard,2013-08-14,Female,1981-04-10,35,25 - 45,African-American,0,6,0,0,2,-15,2013-07-30 05:05:43,2013-08-14 02:10:10,12012951CF10A,,2013-07-30,15,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-14,Risk of Violence,2,Low,2013-08-14,2014-04-03,2014-04-24,2,0,232,0,0 +4817,jacob humes,jacob,humes,2013-01-27,Male,1987-01-05,29,25 - 45,African-American,0,3,1,0,2,-1,2013-01-26 01:09:16,2013-01-28 03:32:20,13001886MM10A,2013-01-26,,1,M,Battery,1,13009010CF10A,(F3),0,2013-06-26,Aggravated Assault W/dead Weap,2013-06-26,2013-06-29,,1,13009010CF10A,(F3),2013-06-26,Aggravated Assault W/dead Weap,Risk of Recidivism,3,Low,2013-01-27,Risk of Violence,4,Low,2013-01-27,2013-06-26,2013-06-29,2,1,150,1,1 +4818,jonathan norris,jonathan,norris,2013-02-15,Male,1978-08-31,37,25 - 45,Caucasian,0,1,0,0,2,489,2014-06-19 11:11:00,2014-07-04 02:07:11,13000295CF10A,2012-10-21,,117,M,Battery on Law Enforc Officer,1,14002064MM40A,(M1),61,2014-04-19,Petit Theft $100- $300,2014-06-19,2014-07-04,,0,,,,,Risk of Recidivism,1,Low,2013-02-15,Risk of Violence,1,Low,2013-02-15,2015-02-22,2015-02-24,2,0,428,1,1 +4820,michael wyatt,michael,wyatt,2014-10-30,Male,1953-07-26,62,Greater than 45,African-American,0,8,0,0,13,-1,2014-10-29 07:42:23,2014-10-30 08:42:11,14014550CF10A,2014-10-29,,1,F,Retail Theft $300 1st Offense,1,14003456MM20A,(M2),104,2014-11-20,Petit Theft,2015-03-04,2015-06-26,,0,,,,,Risk of Recidivism,8,High,2014-10-30,Risk of Violence,5,Medium,2014-10-30,2015-03-04,2015-06-26,13,0,21,1,1 +4821,cambrell smart,cambrell,smart,2014-01-27,Male,1993-10-29,22,Less than 25,African-American,0,10,0,0,5,-91,2013-10-28 04:00:42,2013-10-29 04:10:51,13014176MM10A,,2013-12-18,40,M,arrest case no charge,1,15012428CF10A,(F3),,2015-08-25,False Imprisonment,,,,1,15012428CF10A,(F2),2015-08-25,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2014-01-27,Risk of Violence,6,Medium,2014-01-27,2014-06-28,2014-11-25,5,0,152,0,1 +4824,quavon moore,quavon,moore,2013-10-14,Male,1985-03-12,31,25 - 45,African-American,0,8,0,0,6,-39,2013-09-05 04:24:09,2013-09-24 10:11:00,13007122MM10A,,2013-09-05,39,M,arrest case no charge,1,16000353CF10A,(M1),0,2016-01-09,Battery,2016-01-09,2016-02-11,,1,16000353CF10A,(F3),2016-01-09,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2013-10-14,Risk of Violence,5,Medium,2013-10-14,2014-01-02,2014-01-10,6,0,80,0,0 +4825,jordan pinales,jordan,pinales,2013-09-09,Male,1993-05-30,22,Less than 25,African-American,0,3,0,0,0,-4,2013-09-05 11:54:08,2013-09-06 09:06:58,13016981MM10A,2013-09-05,,4,M,Poss Of RX Without RX,1,14002750MM10A,(M1),0,2014-02-17,Possess Drug Paraphernalia,2014-02-17,2014-02-18,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,5,Medium,2013-09-09,2014-02-17,2014-02-18,0,0,161,1,1 +4826,richard morales,richard,morales,2013-03-01,Male,1984-10-14,31,25 - 45,Hispanic,0,3,0,0,8,-1,2013-02-28 06:43:52,2013-03-13 07:34:33,13003029CF10A,2013-02-28,,1,F,Driving While License Revoked,1,13006422CF10A,(F3),1,2013-05-04,Possession of Cocaine,2013-05-05,2013-06-06,,0,,,,,Risk of Recidivism,3,Low,2013-03-01,Risk of Violence,3,Low,2013-03-01,2013-02-28,2013-03-13,8,12,64,1,1 +4827,lynell freeman,lynell,freeman,2013-04-18,Female,1959-10-21,56,Greater than 45,African-American,0,1,0,0,1,-1,2013-04-17 05:00:58,2013-04-18 05:52:26,13005508CF10A,2013-04-17,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-04-17,2013-04-18,1,0,1079,0,0 +4828,austin kanefsky,austin,kanefsky,2013-08-27,Male,1991-02-25,25,25 - 45,Caucasian,0,6,0,0,2,-29,2013-07-29 09:57:48,2013-08-27 10:56:42,13007305CF10A,,2013-08-13,14,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-27,Risk of Violence,5,Medium,2013-08-27,2013-07-29,2013-08-27,2,0,948,0,0 +4831,gian morales,gian,morales,2013-05-20,Male,1982-07-08,33,25 - 45,Caucasian,0,4,0,0,10,0,2013-05-20 02:19:52,2013-05-21 04:20:08,13009727MM10A,2013-05-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-20,Risk of Violence,2,Low,2013-05-20,2013-05-20,2013-05-21,10,1,1047,0,0 +4833,kevin lowe,kevin,lowe,2013-02-11,Male,1990-09-28,25,25 - 45,Caucasian,0,5,0,0,2,-1,2013-02-10 11:12:43,2013-02-12 12:21:21,13002073CF10A,2013-02-10,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-11,Risk of Violence,6,Medium,2013-02-11,2014-05-21,2014-07-16,2,1,464,0,0 +4834,miesha mills,miesha,mills,2013-05-05,Female,1988-04-29,27,25 - 45,African-American,0,5,0,0,3,-1,2013-05-04 06:24:35,2013-05-05 03:34:33,13006415CF10A,2013-05-04,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-05,Risk of Violence,3,Low,2013-05-05,2014-05-13,2014-05-20,3,0,373,0,0 +4835,steven moss,steven,moss,2013-04-02,Male,1978-07-10,37,25 - 45,African-American,0,10,0,0,1,-1,2013-04-01 05:11:13,2013-04-04 08:57:34,13004687CF10A,2013-04-01,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-02,Risk of Violence,10,High,2013-04-02,2013-08-28,2013-09-12,1,2,148,0,0 +4837,edward burks,edward,burks,2013-06-03,Male,1974-12-12,41,25 - 45,Caucasian,0,1,0,0,2,-3,2013-05-31 08:17:28,2013-06-01 08:45:39,13028890TC10A,,2013-05-31,3,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-03,Risk of Violence,1,Low,2013-06-03,2013-05-31,2013-06-01,2,0,1033,0,0 +4839,charles tarver,charles,tarver,2013-12-24,Male,1980-11-17,35,25 - 45,African-American,0,8,0,1,5,-19,2013-12-05 01:07:45,2013-12-11 11:57:00,13018015CF10A,2013-12-08,,16,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-24,Risk of Violence,5,Medium,2013-12-24,2014-03-26,2014-04-25,5,0,92,0,0 +4840,giovanni funez,giovanni,funez,2014-06-10,Male,1990-05-26,25,25 - 45,Hispanic,0,7,0,0,1,0,2014-06-10 02:15:56,2014-06-10 07:56:31,14009186MM10A,2014-06-10,,0,M,Battery,1,15022866TC40A,(M2),,2015-03-11,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2014-06-10,Risk of Violence,3,Low,2014-06-10,2014-06-10,2014-06-10,1,0,274,1,1 +4841,kenneth apollo,kenneth,apollo,2014-01-03,Male,1960-08-02,55,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-03 02:44:39,2014-01-05 08:46:26,14000129MM10A,2014-01-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-03,Risk of Violence,1,Low,2014-01-03,2014-01-03,2014-01-05,0,2,819,0,0 +4844,tamoy garwood,tamoy,garwood,2013-03-18,Female,1991-12-23,24,Less than 25,African-American,0,5,0,0,1,,,,11004198CF10A,,2011-06-29,628,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-18,Risk of Violence,5,Medium,2013-03-18,,,1,0,1110,0,0 +4845,christopher lloyd,christopher,lloyd,2013-10-04,Male,1990-02-14,26,25 - 45,African-American,0,2,0,0,2,0,2013-10-04 05:39:27,2013-10-08 01:24:50,13013952CF10A,2013-10-04,,0,F,Burglary Conveyance Unoccup,1,15004226MM10A,(M1),0,2015-04-13,Battery,2015-04-13,2015-06-18,,1,15004226MM10A,(M1),2015-04-13,Battery,Risk of Recidivism,2,Low,2013-10-04,Risk of Violence,3,Low,2013-10-04,2014-06-18,2014-06-24,2,4,257,0,1 +4846,suniel foskin,suniel,foskin,2013-05-22,Male,1981-01-15,35,25 - 45,African-American,0,3,0,0,7,-1,2013-05-21 06:58:18,2013-12-02 09:26:04,13004135CF10A,,2013-05-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,3,Low,2013-05-22,2013-05-21,2013-12-02,7,194,1045,0,0 +4847,tracy gallagher,tracy,gallagher,2013-02-16,Male,1966-04-01,50,Greater than 45,Caucasian,0,4,0,0,3,0,2013-02-16 05:51:43,2013-03-13 10:56:47,13003880MM10A,2013-02-16,,0,M,Reckless Driving,1,15001637CF10A,(F3),43,2015-01-07,Battery on a Person Over 65,2015-02-19,2015-02-20,,1,15001637CF10A,(F3),2015-01-07,Battery on a Person Over 65,Risk of Recidivism,4,Low,2013-02-16,Risk of Violence,6,Medium,2013-02-16,2013-02-16,2013-03-13,3,25,690,1,1 +4848,corey durpee,corey,durpee,2013-05-24,Male,1985-10-28,30,25 - 45,African-American,0,8,0,0,1,,,,10010372MM10A,2010-04-15,,1135,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-24,Risk of Violence,9,High,2013-05-24,,,1,0,1043,0,0 +4851,eddie mccants,eddie,mccants,2013-08-07,Male,1990-12-12,25,25 - 45,African-American,0,6,0,0,3,-1,2013-08-06 02:31:41,2013-08-08 04:16:31,13011026CF10A,2013-08-06,,1,F,Possession of Cocaine,1,14005860CF10A,(F3),0,2014-04-27,Tampering With Physical Evidence,2014-04-27,2014-04-28,,0,,,,,Risk of Recidivism,6,Medium,2013-08-07,Risk of Violence,4,Low,2013-08-07,2014-04-27,2014-04-28,3,1,263,1,1 +4853,linda altman,linda,altman,2014-01-06,Female,1950-11-30,65,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-01-05 09:27:22,2014-01-06 12:10:47,14000391MU10A,2014-01-05,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,1,14049377TC20A,(M2),49,2014-06-24,Driving License Suspended,2014-08-12,2014-08-12,,0,,,,,Risk of Recidivism,1,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-08-12,2014-08-12,1,0,169,1,1 +4857,bryeon mack,bryeon,mack,2013-05-07,Female,1984-08-06,31,25 - 45,African-American,0,5,0,0,0,0,2013-05-07 01:16:35,2013-05-07 07:21:10,13006480CF10A,2013-05-06,,1,F,Felony Driving While Lic Suspd,1,14003280MM40A,(M1),,2014-07-25,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-07,Risk of Violence,2,Low,2013-05-07,2013-05-07,2013-05-07,0,0,444,1,1 +4860,simone campbell,simone,campbell,2014-01-17,Female,1991-08-24,24,Less than 25,African-American,0,2,0,0,0,-1,2014-01-16 10:15:11,2014-01-17 01:26:50,14000840MM10A,2014-01-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-17,Risk of Violence,3,Low,2014-01-17,2014-01-16,2014-01-17,0,0,805,0,0 +4861,shem lampley,shem,lampley,2013-01-23,Male,1982-02-13,34,25 - 45,African-American,0,8,0,0,6,-1,2013-01-22 07:32:23,2013-02-05 07:22:29,11018844CF10A,,2013-01-22,1,F,arrest case no charge,1,13007122CF10A,(M1),1,2013-05-18,Unlaw Malic Strike K9/Horses,2013-05-19,2014-05-27,,1,13007122CF10A,(F2),2013-05-18,Agg Battery Grt/Bod/Harm,Risk of Recidivism,8,High,2013-01-23,Risk of Violence,9,High,2013-01-23,2013-04-20,2013-04-24,6,13,87,0,1 +4862,bernard andrews,bernard,andrews,2014-04-18,Male,1992-04-05,24,Less than 25,Other,0,8,0,0,3,-1,2014-04-17 09:15:00,2014-04-20 11:07:10,14006531MM10A,2014-04-17,,1,M,Battery,1,14002668MM40A,(M1),135,2014-06-11,Theft/To Deprive,2014-10-24,2014-11-01,,1,15000311MM10A,(M1),2014-12-13,Battery,Risk of Recidivism,8,High,2014-04-18,Risk of Violence,7,Medium,2014-04-18,2014-04-17,2014-04-20,3,2,54,1,1 +4864,casey herard,casey,herard,2013-02-14,Female,1985-08-05,30,25 - 45,African-American,0,6,1,0,4,-1,2013-02-13 11:45:50,2013-02-15 08:31:36,13002247CF10A,2013-02-13,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-14,Risk of Violence,2,Low,2013-02-14,2013-11-20,2013-12-21,4,1,279,0,0 +4865,andriane kirkpatrick,andriane,kirkpatrick,2013-02-14,Female,1980-10-14,35,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-14 04:49:00,2013-02-14 07:54:07,13003253MM10A,2013-02-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2013-02-14,2013-02-14,0,0,1142,0,0 +4866,tony wilson,tony,wilson,2013-12-27,Male,1985-10-06,30,25 - 45,African-American,0,6,0,0,14,27,2014-01-23 09:48:39,2014-02-15 08:24:36,13016573CF10A,,2013-11-29,28,F,arrest case no charge,1,14001003CF10A,(F3),0,2014-01-23,Possession of Morphine,2014-01-23,2014-02-15,,0,,,,,Risk of Recidivism,6,Medium,2013-12-27,Risk of Violence,7,Medium,2013-12-27,2014-01-23,2014-02-15,14,0,27,1,1 +4870,joshua dundis,joshua,dundis,2013-09-23,Male,1992-01-30,24,Less than 25,Caucasian,0,2,0,0,1,-8,2013-09-15 11:32:16,2013-09-18 09:20:54,13017572MM10A,2013-09-15,,8,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-09-15,2013-09-18,1,0,921,0,0 +4871,john shaffer,john,shaffer,2013-03-19,Male,1964-06-08,51,Greater than 45,Caucasian,0,3,0,0,3,-13,2013-03-06 09:35:26,2013-03-19 11:53:06,13003365CF10A,2013-03-06,,13,F,Interference with Custody,1,14004097CF10A,(M2),1,2014-03-22,Unlaw LicTag/Sticker Attach,2014-03-23,2014-04-24,,0,,,,,Risk of Recidivism,3,Low,2013-03-19,Risk of Violence,1,Low,2013-03-19,2013-08-08,2013-09-18,3,0,142,0,1 +4872,jonadia hyppolite,jonadia,hyppolite,2013-12-07,Female,1987-11-05,28,25 - 45,African-American,0,3,0,0,3,-1,2013-12-06 07:42:39,2013-12-07 08:47:36,13016906CF10A,2013-12-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-07,Risk of Violence,3,Low,2013-12-07,2013-12-06,2013-12-07,3,0,846,0,0 +4873,laterria lafond,laterria,lafond,2014-02-17,Female,1988-07-10,27,25 - 45,African-American,0,6,0,0,4,-1,2014-02-16 09:44:54,2014-02-17 09:36:19,14002196CF10A,2014-02-16,,1,F,Drivg While Lic Suspd/Revk/Can,1,14034191TC10A,(M2),249,2014-08-30,Driving License Suspended,2015-05-06,2015-05-15,,0,,,,,Risk of Recidivism,6,Medium,2014-02-17,Risk of Violence,2,Low,2014-02-17,2015-05-06,2015-05-15,4,0,194,1,1 +4876,nezam alli,nezam,alli,2013-08-02,Male,1965-09-10,50,Greater than 45,Other,0,1,0,0,5,-91,2013-05-03 03:45:11,2013-08-02 10:31:12,12015804CF10A,,2013-05-03,91,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2013-05-03,2013-08-02,5,0,973,0,0 +4877,peter ramos,peter,ramos,2014-11-14,Male,1994-02-14,22,Less than 25,Caucasian,0,3,0,0,2,-1,2014-11-13 12:23:53,2014-11-14 08:54:55,14015248CF10A,2014-11-13,,1,F,Possession of Cocaine,1,16011876TC30A,(M2),,2016-02-23,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2014-11-14,Risk of Violence,4,Low,2014-11-14,2015-09-23,2015-11-04,2,0,313,0,1 +4879,kevin daniels,kevin,daniels,2013-09-19,Male,1987-03-14,29,25 - 45,African-American,0,4,0,0,2,-1,2013-09-18 07:11:59,2013-09-19 01:45:36,13013180CF10A,2013-09-18,,1,F,Traffic Counterfeit Cred Cards,1,14012839CF10A,(F3),0,2014-09-22,Grand Theft in the 3rd Degree,2014-09-22,2014-09-23,,0,,,,,Risk of Recidivism,4,Low,2013-09-19,Risk of Violence,3,Low,2013-09-19,2014-09-22,2014-09-23,2,0,368,1,1 +4881,roderick ferguson,roderick,ferguson,2013-11-23,Male,1984-06-25,31,25 - 45,African-American,0,6,0,0,0,-1,2013-11-22 09:00:54,2013-11-24 09:02:53,13016288CF10A,2013-11-22,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-23,Risk of Violence,3,Low,2013-11-23,2014-02-17,2014-04-04,0,1,86,0,0 +4884,davis jirka,davis,jirka,2013-12-30,Male,1985-02-05,31,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-29 08:40:23,2013-12-30 08:05:20,14000105MM10A,2013-12-29,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-30,Risk of Violence,2,Low,2013-12-30,2013-12-29,2013-12-30,0,0,823,0,0 +4885,vanessa belotte,vanessa,belotte,2013-02-27,Female,1983-10-10,32,25 - 45,African-American,0,2,0,0,3,-1,2013-02-26 02:16:05,2013-03-28 10:47:42,13003010CF10A,,2013-02-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-27,Risk of Violence,2,Low,2013-02-27,2013-05-06,2013-05-07,3,29,68,0,0 +4886,hubert hughes,hubert,hughes,2014-05-16,Male,1989-01-21,27,25 - 45,African-American,0,2,0,0,1,-1,2014-05-15 09:55:36,2014-05-17 03:38:23,14006785CF10A,2014-05-15,,1,F,Burglary Structure Unoccup,1,15004229MM10A,(M1),0,2015-04-13,Resist/Obstruct W/O Violence,2015-04-13,2015-04-14,,0,,,,,Risk of Recidivism,2,Low,2014-05-16,Risk of Violence,3,Low,2014-05-16,2014-08-27,2014-10-30,1,1,103,0,1 +4887,frank schmidt,frank,schmidt,2013-06-10,Male,1987-03-20,29,25 - 45,Caucasian,0,5,0,0,6,-3,2013-06-07 12:58:38,2013-06-08 07:37:28,13008038CF10A,2013-06-06,,4,F,Possession of Hydromorphone,1,14011787CF10A,(M1),0,2014-08-29,Battery,2014-08-29,2014-09-30,,1,14011787CF10A,(M1),2014-08-29,Aggravated Battery / Pregnant,Risk of Recidivism,5,Medium,2013-06-10,Risk of Violence,2,Low,2013-06-10,2013-08-07,2013-08-30,6,0,58,0,1 +4888,pj lawton,pj,lawton,2013-01-31,Male,1956-06-22,59,Greater than 45,African-American,0,3,0,0,3,-8,2013-01-23 08:25:05,2013-01-31 10:46:32,12009951CF10A,,2013-01-23,8,F,arrest case no charge,1,15001535CF10A,(M1),0,2015-02-02,Possess Cannabis/20 Grams Or Less,2015-02-02,2015-02-03,,0,,,,,Risk of Recidivism,3,Low,2013-01-31,Risk of Violence,2,Low,2013-01-31,2015-02-02,2015-02-03,3,0,732,1,0 +4890,rivenson joseph,rivenson,joseph,2014-04-13,Male,1992-01-05,24,Less than 25,African-American,0,2,0,0,1,-1,2014-04-12 12:19:56,2014-04-13 09:21:08,14006232MM10A,2014-04-11,,2,M,Battery,1,15000217MM10A,(M1),0,2015-01-06,Battery,2015-01-06,2015-01-07,,1,15000217MM10A,(M1),2015-01-06,Battery,Risk of Recidivism,2,Low,2014-04-13,Risk of Violence,5,Medium,2014-04-13,2015-01-06,2015-01-07,1,0,268,1,1 +4891,kayla sutton,kayla,sutton,2013-05-22,Female,1988-11-12,27,25 - 45,Caucasian,0,4,0,0,1,-66,2013-03-17 06:36:07,2013-03-18 05:46:07,13003883CF10A,2013-03-17,,66,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,3,Low,2013-05-22,2014-07-29,2014-09-12,1,0,433,0,0 +4893,gervens souarin,gervens,souarin,2013-03-05,Male,1982-12-05,33,25 - 45,African-American,0,10,0,0,0,-1,2013-03-04 07:56:17,2013-07-24 07:34:26,13003247CF10A,2013-03-04,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-05,Risk of Violence,6,Medium,2013-03-05,2013-03-04,2013-07-24,0,141,1123,0,0 +4894,joyce jacques,joyce,jacques,2013-10-11,Female,1980-11-09,35,25 - 45,Other,0,1,0,0,0,-1,2013-10-10 04:48:42,2013-10-11 02:16:44,13019260MM10A,2013-10-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-11,Risk of Violence,1,Low,2013-10-11,2013-10-10,2013-10-11,0,0,903,0,0 +4897,joseph minniti,joseph,minniti,2014-08-12,Male,1987-11-05,28,25 - 45,Caucasian,0,8,0,0,9,-8,2014-08-04 05:42:35,2014-08-12 08:32:05,14004256CF10A,,2014-08-04,8,F,arrest case no charge,1,14084373TC30A,(M2),18,2014-10-06,Driving License Suspended,2014-10-24,2015-04-06,,0,,,,,Risk of Recidivism,8,High,2014-08-12,Risk of Violence,8,High,2014-08-12,2014-10-24,2015-04-06,9,0,55,1,1 +4900,louisette jean,louisette,jean,2013-07-29,Female,1975-12-09,40,25 - 45,Other,0,1,0,0,0,-4,2013-07-25 06:29:10,2013-07-29 11:27:13,13010446CF10A,,2013-07-25,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-25,2013-07-29,0,0,977,0,0 +4902,jose delacruz,jose,delacruz,2013-02-19,Male,1963-02-19,53,Greater than 45,Hispanic,0,2,0,0,3,,,,13003467MM10A,2013-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,,,3,0,1137,0,0 +4904,kevin grant,kevin,grant,2013-02-19,Male,1970-10-07,45,Greater than 45,Other,0,3,0,0,0,-1,2013-02-18 01:05:12,2013-02-19 06:50:04,13003464MM10A,2013-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,1,Low,2013-02-19,2013-02-18,2013-02-19,0,0,1137,0,0 +4906,vincent moorman,vincent,moorman,2013-02-12,Male,1991-09-05,24,Less than 25,African-American,1,9,0,1,9,-7,2013-02-05 02:02:29,2013-02-09 04:42:56,12009778MM10A,,2013-02-05,7,M,arrest case no charge,1,13006351CF10A,(M1),0,2013-05-03,Resist/Obstruct W/O Violence,2013-05-03,2014-02-23,,1,13006351CF10A,(F3),2013-05-03,Attempt Burglary (Struct),Risk of Recidivism,9,High,2013-02-12,Risk of Violence,7,Medium,2013-02-12,2013-05-03,2014-02-23,9,0,80,1,1 +4907,victor rozier,victor,rozier,2013-11-25,Male,1985-03-03,31,25 - 45,African-American,2,9,1,1,16,-1,2013-11-24 08:06:21,2014-01-16 06:29:30,13016349CF10A,2013-11-24,,1,F,Grand Theft in the 3rd Degree,1,16000310MM20A,(M1),,2016-01-26,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-11-25,Risk of Violence,6,Medium,2013-11-25,2014-01-16,2015-03-02,16,462,792,1,1 +4909,christian duranfernandez,christian,duranfernandez,2013-05-21,Male,1991-02-12,25,25 - 45,Hispanic,0,2,0,0,0,-1,2013-05-20 01:33:21,2013-05-24 05:02:36,13009737MM10A,2013-05-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-21,Risk of Violence,4,Low,2013-05-21,2013-05-20,2013-05-24,0,3,1046,0,0 +4910,yurek gorny,yurek,gorny,2013-03-31,Male,1991-07-16,24,Less than 25,Caucasian,0,4,0,0,0,,,,,,,,M,,1,14006654MM10A,(M1),0,2014-04-21,Indecent Exposure,2014-04-21,2014-04-22,,0,,,,,Risk of Recidivism,4,Low,2013-03-31,Risk of Violence,5,Medium,2013-03-31,2014-04-21,2014-04-22,0,0,386,1,1 +4911,doll pierre louis,doll,pierre louis,2014-03-11,Male,1991-10-23,24,Less than 25,African-American,0,9,0,0,0,-1,2014-03-10 02:01:58,2014-03-11 10:42:11,14003387CF10A,2014-03-10,,1,F,"Possession Of 3,4Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-11,Risk of Violence,9,High,2014-03-11,2014-03-10,2014-03-11,0,0,752,0,0 +4912,david cuellar,david,cuellar,2013-04-06,Male,1993-02-28,23,Less than 25,Hispanic,0,8,0,0,6,-1,2013-04-05 03:50:59,2013-05-09 09:31:20,13006559MM10A,2013-04-05,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-06,Risk of Violence,5,Medium,2013-04-06,2013-04-05,2013-05-09,6,33,1091,0,0 +4914,david kennedy,david,kennedy,2013-08-22,Male,1993-01-07,23,Less than 25,African-American,0,8,1,0,7,-1,2013-08-21 01:25:33,2013-08-22 06:49:00,13011767CF10A,2013-08-21,,1,F,Carrying Concealed Firearm,1,14009472MM10A,(M1),,2014-04-03,Battery,,,,1,14009472MM10A,(M1),2014-04-03,Battery,Risk of Recidivism,8,High,2013-08-22,Risk of Violence,7,Medium,2013-08-22,2016-03-28,2016-04-01,7,0,224,1,1 +4917,nancy gayoso,nancy,gayoso,2013-08-02,Female,1968-04-23,47,Greater than 45,Hispanic,0,1,0,0,2,,,,03004219CF10A,,2003-03-08,3800,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,,,2,0,973,0,0 +4921,carlos posada,carlos,posada,2013-09-16,Male,1967-05-05,48,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-09-15 12:13:53,2013-09-15 01:11:55,13017544MM10A,2013-09-14,,2,M,DUI/Property Damage/Persnl Inj,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-09-15,2013-09-15,0,0,928,0,0 +4922,omar perez,omar,perez,2013-10-14,Male,1980-07-18,35,25 - 45,Hispanic,0,2,0,0,0,,,,13019406MM10A,2013-10-13,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,,,0,0,900,0,0 +4923,denley calixte,denley,calixte,2013-12-12,Male,1991-08-25,24,Less than 25,Other,0,3,0,0,3,252,2014-08-21 12:48:29,2014-10-10 04:29:01,12004753CF10A,,2013-11-15,27,F,arrest case no charge,1,14044078TC30A,(M2),159,2014-03-15,Unlaw LicTag/Sticker Attach,2014-08-21,2014-10-10,,0,,,,,Risk of Recidivism,3,Low,2013-12-12,Risk of Violence,4,Low,2013-12-12,2014-08-21,2014-10-10,3,0,93,1,1 +4925,peter accetta,peter,accetta,2013-03-30,Male,1954-01-27,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-29 11:06:18,2013-03-30 08:00:38,13004542CF10A,2013-03-29,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-29,2013-03-30,0,0,1098,0,0 +4926,rodney smith,rodney,smith,2013-10-31,Male,1964-01-13,52,Greater than 45,African-American,0,3,0,0,19,,,,12008902CF10A,,2012-11-16,349,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-31,Risk of Violence,1,Low,2013-10-31,2006-09-05,2009-04-26,19,0,883,0,0 +4927,tiffany pericles,tiffany,pericles,2013-11-04,Female,1990-09-07,25,25 - 45,African-American,0,7,0,0,4,0,2013-11-04 04:23:55,2013-11-04 08:19:28,13013927CF10A,,2013-11-04,0,F,arrest case no charge,1,14026291TC10A,(M2),0,2014-07-21,Susp Drivers Lic 1st Offense,2014-07-21,2014-07-22,,0,,,,,Risk of Recidivism,7,Medium,2013-11-04,Risk of Violence,4,Low,2013-11-04,2014-07-21,2014-07-22,4,0,259,1,1 +4928,junior bouquette,junior,bouquette,2013-03-22,Male,1990-08-10,25,25 - 45,Other,0,3,0,0,1,-1,2013-03-21 07:26:42,2013-03-22 10:25:37,13004115CF10A,2013-03-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,3,Low,2013-03-22,2015-10-01,2015-10-19,1,0,923,0,0 +4929,anthony mitchell,anthony,mitchell,2013-02-21,Male,1967-03-31,49,Greater than 45,African-American,0,7,0,0,1,-1,2013-02-20 01:41:20,2013-03-02 09:15:54,13005582MM10A,2013-02-20,,1,M,Assault,1,16002152MM10A,(M1),0,2016-03-05,Battery,2016-03-05,2016-03-17,,1,16002152MM10A,(M1),2016-03-05,Battery,Risk of Recidivism,7,Medium,2013-02-21,Risk of Violence,4,Low,2013-02-21,2014-01-26,2014-01-31,1,9,339,0,0 +4931,stephen cotillo,stephen,cotillo,2014-01-27,Male,1965-08-16,50,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-27 06:59:07,2014-03-04 01:51:57,14001186CF10A,2014-01-27,,0,F,Felony Battery (Dom Strang),1,14004278CF10A,(F3),0,2014-03-26,Felony Battery (Dom Strang),2014-03-26,2014-06-13,,1,14004278CF10A,(F3),2014-03-26,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-03-26,2014-06-13,0,36,58,1,1 +4932,wesley brooks,wesley,brooks,2014-11-12,Male,1969-02-17,47,Greater than 45,African-American,0,8,0,0,3,-1,2014-11-11 02:09:00,2014-12-20 08:22:02,14015117CF10A,2014-11-11,,1,F,Poss Pyrrolidinovalerophenone,1,15007083MM10A,(M1),,2015-07-01,Trespass Other Struct/Conve,,,,0,,,,,Risk of Recidivism,8,High,2014-11-12,Risk of Violence,3,Low,2014-11-12,2015-06-18,2015-06-26,3,38,218,0,1 +4933,brian willoughby,brian,willoughby,2013-08-02,Male,1978-11-07,37,25 - 45,African-American,0,8,0,0,14,-1,2013-08-01 07:15:54,2013-08-02 08:36:19,13010768CF10A,2013-08-01,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-02,Risk of Violence,3,Low,2013-08-02,2013-08-01,2013-08-02,14,0,973,0,0 +4934,erick dygert,erick,dygert,2013-02-04,Male,1989-04-27,26,25 - 45,Caucasian,0,2,0,0,0,0,2013-02-04 05:18:52,2013-02-05 08:10:46,13002544MM10A,2013-02-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,3,Low,2013-02-04,2013-02-04,2013-02-05,0,1,1152,0,0 +4935,brian semil,brian,semil,2013-01-14,Male,1987-10-08,28,25 - 45,African-American,0,10,2,0,21,-1,2013-01-13 07:08:36,2013-01-14 08:33:28,13000613CF10A,2013-01-13,,1,F,Driving While License Revoked,1,15002657CF10A,(F3),1,2015-02-25,Burglary Conveyance Unoccup,2015-02-26,2015-03-08,,1,15002657CF10A,(M1),2015-02-25,Battery,Risk of Recidivism,10,High,2013-01-14,Risk of Violence,10,High,2013-01-14,2015-03-11,2015-06-25,21,0,772,1,0 +4936,turquora davis,turquora,davis,2014-06-16,Female,1989-07-11,26,25 - 45,African-American,0,2,0,0,3,-1,2014-06-15 08:14:39,2014-06-16 01:11:31,14008292CF10A,2014-06-15,,1,F,Pos Cannabis W/Intent Sel/Del,1,14017212CF10A,(F3),1,2014-12-29,Felony Driving While Lic Suspd,2014-12-30,2014-12-30,,0,,,,,Risk of Recidivism,2,Low,2014-06-16,Risk of Violence,2,Low,2014-06-16,2014-12-30,2014-12-30,3,0,196,1,1 +4937,donovan elliott,donovan,elliott,2013-03-18,Male,1967-10-17,48,Greater than 45,Other,0,2,0,0,4,-1,2013-03-17 04:45:11,2013-03-18 07:05:54,13003891CF10A,2013-03-17,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-17,2013-03-18,4,0,1110,0,0 +4938,chevane robinson,chevane,robinson,2014-01-06,Male,1991-04-07,25,25 - 45,African-American,0,4,0,0,1,-80,2013-10-18 01:38:25,2013-10-19 02:03:28,13014562CF10A,2013-10-17,,81,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-06,Risk of Violence,4,Low,2014-01-06,2015-01-02,2015-01-09,1,0,361,0,0 +4939,romaine plummer,romaine,plummer,2013-08-20,Male,1995-06-18,20,Less than 25,African-American,0,8,1,0,1,0,2013-08-20 02:40:22,2013-08-20 07:11:30,13011669CF10A,2013-08-19,,1,F,Grand Theft (Motor Vehicle),1,13012019CF10A,(F1),2,2013-08-24,Armed Carjacking,2013-08-26,2014-07-31,,1,13012019CF10A,(F1),2013-08-24,Armed Carjacking,Risk of Recidivism,8,High,2013-08-20,Risk of Violence,10,High,2013-08-20,2014-07-31,2020-01-01,1,0,4,1,1 +4940,bruce johnson,bruce,johnson,2013-08-02,Male,1982-01-27,34,25 - 45,African-American,0,10,0,0,9,-1,2013-08-01 02:45:43,2013-08-18 04:39:35,13010747CF10A,2013-08-01,,1,F,Pos Cannabis W/Intent Sel/Del,1,13021296MM10A,(M1),1,2013-11-12,Resist/Obstruct W/O Violence,2013-11-13,2013-11-14,,0,,,,,Risk of Recidivism,10,High,2013-08-02,Risk of Violence,5,Medium,2013-08-02,2013-08-01,2013-08-18,9,16,102,1,1 +4941,robert leon,robert,leon,2013-08-24,Male,1989-10-25,26,25 - 45,Hispanic,0,1,0,0,1,-1,2013-08-23 11:30:03,2013-08-25 03:40:23,13016179MM10A,2013-08-23,,1,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-24,Risk of Violence,2,Low,2013-08-24,2013-08-23,2013-08-25,1,1,951,0,0 +4943,percival gordon,percival,gordon,2013-01-07,Male,1969-09-29,46,Greater than 45,African-American,1,9,0,1,9,-1,2013-01-06 05:12:49,2013-05-02 04:43:13,13000239CF10A,2013-01-06,,1,F,Grand Theft in the 3rd Degree,1,13011148MM10A,(M1),0,2013-06-10,Resist/Obstruct W/O Violence,2013-06-10,2013-08-23,,0,,,,,Risk of Recidivism,9,High,2013-01-07,Risk of Violence,7,Medium,2013-01-07,2013-06-10,2013-08-23,9,115,154,1,1 +4944,jevon williams,jevon,williams,2014-01-23,Male,1994-09-03,21,Less than 25,African-American,0,8,0,1,0,0,2014-01-23 12:56:27,2014-01-30 01:17:47,14001012CF10A,2014-01-22,,1,F,Grand Theft in the 3rd Degree,1,14016710MM10A,(M1),0,2014-11-23,Petit Theft $100- $300,2014-11-23,2014-11-24,,0,,,,,Risk of Recidivism,8,High,2014-01-23,Risk of Violence,7,Medium,2014-01-23,2014-11-23,2014-11-24,0,7,304,1,1 +4945,kimberly carter,kimberly,carter,2013-02-24,Female,1988-08-10,27,25 - 45,Caucasian,0,5,0,0,2,-1,2013-02-23 03:10:12,2013-04-26 05:44:15,13002796CF10A,,2013-02-23,1,F,arrest case no charge,1,13003423CF10A,(F3),,2013-03-06,False Ownership Info/Pawn Item,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-24,Risk of Violence,3,Low,2013-02-24,2013-02-23,2013-04-26,2,0,10,1,1 +4947,lamont cummings,lamont,cummings,2013-10-07,Male,1994-07-03,21,Less than 25,African-American,0,8,1,1,3,0,2013-10-07 11:38:45,2013-10-25 10:48:20,13019069MM10A,2013-10-07,,0,M,Battery,1,14009359CF10A,(M1),0,2014-07-08,Resist/Obstruct W/O Violence,2014-07-08,2015-03-12,,0,,,,,Risk of Recidivism,8,High,2013-10-07,Risk of Violence,8,High,2013-10-07,2014-07-08,2015-03-12,3,18,274,1,1 +4948,michael liberatore,michael,liberatore,2013-03-09,Male,1986-11-14,29,25 - 45,Caucasian,0,4,0,0,1,-1,2013-03-08 03:18:08,2013-03-22 08:45:58,13003457CF10A,2013-03-08,,1,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-09,Risk of Violence,2,Low,2013-03-09,2013-03-08,2013-03-22,1,13,1119,0,0 +4949,shawn garner,shawn,garner,2014-01-04,Male,1969-11-08,46,Greater than 45,Caucasian,0,4,0,0,4,0,2014-01-04 02:43:27,2014-01-05 08:14:11,14000155CF10A,2014-01-04,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-04,Risk of Violence,1,Low,2014-01-04,2014-01-04,2014-01-05,4,1,818,0,0 +4950,aslet augustin,aslet,augustin,2013-01-07,Male,1991-09-19,24,Less than 25,African-American,0,4,0,0,0,0,2013-01-07 03:32:06,2013-01-08 02:56:38,13000272CF10A,2013-01-07,,0,F,Pos Cannabis W/Intent Sel/Del,1,15001016MM20A,(M2),,2015-03-28,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-07,Risk of Violence,5,Medium,2013-01-07,2013-01-07,2013-01-08,0,1,810,1,0 +4951,maria garcia,maria,garcia,2014-03-17,Female,1964-09-11,51,Greater than 45,Hispanic,0,1,0,0,2,0,2014-03-17 06:13:55,2014-03-17 08:07:49,14004626MM10A,2014-03-17,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-17,2014-03-17,2,0,746,0,0 +4952,willie gray,willie,gray,2014-10-31,Male,1959-01-12,57,Greater than 45,African-American,0,4,0,0,8,0,2014-10-31 12:02:01,2014-10-31 01:47:05,14040148MU10A,2014-10-30,,1,M,DUI Level 0.15 Or Minor In Veh,1,15043364TC20A,(M2),,2015-07-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2014-10-31,Risk of Violence,2,Low,2014-10-31,2014-10-31,2014-10-31,8,0,265,1,1 +4953,sheldon josephs,sheldon,josephs,2014-03-24,Male,1982-07-12,33,25 - 45,African-American,0,2,0,0,4,-1,2014-03-23 08:14:19,2014-03-24 08:35:35,14004102CF10A,2014-03-23,,1,F,Felony Driving While Lic Suspd,1,16011434TC30A,(M2),,2016-02-11,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-24,Risk of Violence,4,Low,2014-03-24,2014-03-23,2014-03-24,4,0,689,1,1 +4955,delvin mills,delvin,mills,2014-03-04,Male,1992-12-04,23,Less than 25,African-American,0,9,1,0,4,-1,2014-03-03 06:42:34,2014-07-25 05:03:57,14002998CF10A,2014-03-03,,1,F,Unauth Poss ID Card or DL,1,14017951MM10A,(M1),0,2014-11-21,Resist/Obstruct W/O Violence,2014-11-21,2015-05-01,,0,,,,,Risk of Recidivism,9,High,2014-03-04,Risk of Violence,6,Medium,2014-03-04,2014-11-21,2015-05-01,4,143,262,1,1 +4956,cornelius jones,cornelius,jones,2013-02-23,Male,1987-04-19,29,25 - 45,African-American,0,8,0,0,5,0,2013-02-23 02:42:31,2013-02-24 03:36:20,13002779CF10A,2013-02-23,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-23,Risk of Violence,4,Low,2013-02-23,2013-09-02,2013-10-27,5,1,191,0,0 +4958,dylan welly,dylan,welly,2013-03-16,Male,1994-04-18,22,Less than 25,Caucasian,0,4,0,0,0,0,2013-03-16 02:49:51,2013-03-25 04:33:55,13005183MM10A,2013-03-16,,0,M,Battery,1,13006269CF10A,(M1),0,2013-05-01,Petit Theft $100- $300,2013-05-01,2013-05-02,,0,,,,,Risk of Recidivism,4,Low,2013-03-16,Risk of Violence,5,Medium,2013-03-16,2013-05-01,2013-05-02,0,9,46,1,1 +4959,george rodriguez,george,rodriguez,2014-01-04,Male,1959-05-14,56,Greater than 45,Hispanic,0,2,0,0,10,-1,2014-01-03 11:38:48,2014-01-16 12:08:40,14000149MM10A,2014-01-03,,1,M,Battery,1,15001201CF10A,(F3),,2015-01-26,Battery on Law Enforc Officer,,,,1,15001201CF10A,(F3),2015-01-26,Battery on Law Enforc Officer,Risk of Recidivism,2,Low,2014-01-04,Risk of Violence,1,Low,2014-01-04,2014-01-03,2014-01-16,10,12,387,1,1 +4960,elizabeth mahoney,elizabeth,mahoney,2013-10-16,Female,1982-05-30,33,25 - 45,Caucasian,0,6,0,0,1,-5,2013-10-11 02:07:22,2013-10-15 08:14:25,13019333MM10A,2013-10-11,,5,M,Battery,1,14000520MM10A,(M1),0,2014-01-10,Trespass After Warning,2014-01-10,2014-01-10,,0,,,,,Risk of Recidivism,6,Medium,2013-10-16,Risk of Violence,3,Low,2013-10-16,2014-01-10,2014-01-10,1,0,86,0,1 +4961,david jeanpierre,david,jeanpierre,2014-08-13,Male,1988-04-25,27,25 - 45,Other,0,4,0,0,0,-1,2014-08-12 05:46:47,2014-08-13 10:00:55,14012352CF10A,2014-08-12,,1,F,Crim Use of Personal ID Info,1,16000928CF10A,(F3),0,2016-01-22,Poss Unlaw Issue Id,2016-01-22,2016-01-23,,0,,,,,Risk of Recidivism,4,Low,2014-08-13,Risk of Violence,4,Low,2014-08-13,2014-09-30,2014-10-01,0,0,48,0,1 +4962,manuel camposeco-mendez,manuel,camposeco-mendez,2013-07-25,Male,1985-02-03,31,25 - 45,Hispanic,0,2,0,0,1,-75,2013-05-11 07:52:30,2013-05-14 11:01:18,13009129MM10A,2013-05-11,,75,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-25,Risk of Violence,1,Low,2013-07-25,2013-05-11,2013-05-14,1,0,981,0,0 +4964,lemy williams,lemy,williams,2014-04-01,Male,1975-09-23,40,25 - 45,African-American,0,8,0,0,3,-1,2014-03-31 03:19:04,2014-04-01 01:25:43,14004493CF10A,2014-03-31,,1,F,Fleeing Or Attmp Eluding A Leo,1,14017909TC10A,(M1),0,2014-04-10,Opert With Susp DL 2nd Offens,2014-04-10,2014-04-12,,0,,,,,Risk of Recidivism,8,High,2014-04-01,Risk of Violence,5,Medium,2014-04-01,2014-04-10,2014-04-12,3,0,9,1,1 +4965,rochilun manasse,rochilun,manasse,2013-08-19,Male,1968-04-02,48,Greater than 45,Other,0,1,0,0,0,-1,2013-08-18 06:22:59,2013-08-19 05:44:31,13015630MM10A,2013-08-18,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-19,0,0,956,0,0 +4967,james simmons,james,simmons,2013-08-21,Male,1984-01-03,32,25 - 45,African-American,0,6,3,0,10,-1,2013-08-20 12:33:33,2013-08-24 08:38:45,13011684CF10A,2013-08-20,,1,F,Sexual Battery / Vict 12 Yrs +,1,14042861TC10A,(M2),,2014-11-13,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-21,Risk of Violence,5,Medium,2013-08-21,2013-10-14,2013-11-01,10,3,54,0,1 +4968,nathaniel ward,nathaniel,ward,2013-06-26,Male,1948-04-05,68,Greater than 45,African-American,0,2,0,0,1,-37,2013-05-20 07:22:20,2013-06-15 12:40:01,13007185CF10A,,2013-05-20,37,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-26,Risk of Violence,1,Low,2013-06-26,2013-05-20,2013-06-15,1,0,1010,0,0 +4969,jamal jones,jamal,jones,2013-10-02,Male,1992-03-26,24,Less than 25,African-American,0,4,0,0,1,-1,2013-10-01 03:10:38,2013-10-02 07:32:09,13018696MM10A,2013-10-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-02,Risk of Violence,4,Low,2013-10-02,2013-10-01,2013-10-02,1,0,912,0,0 +4970,timar honewell,timar,honewell,2013-10-02,Male,1983-11-14,32,25 - 45,African-American,0,2,0,0,1,-1,2013-10-01 06:53:20,2013-10-02 04:24:04,13013789CF10A,,2013-10-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,2,Low,2013-10-02,2013-10-01,2013-10-02,1,0,912,0,0 +4971,gerald rice,gerald,rice,2014-09-05,Male,1996-05-11,19,Less than 25,African-American,0,7,1,0,2,-6,2014-08-30 12:40:24,2014-08-31 01:53:28,14011855CF10A,2014-08-30,,6,F,Grand Theft in the 3rd Degree,1,15012361MM10A,(M1),0,2015-11-28,Petit Theft $100- $300,2015-11-28,2015-11-28,,0,,,,,Risk of Recidivism,7,Medium,2014-09-05,Risk of Violence,8,High,2014-09-05,2015-11-28,2015-11-28,2,0,449,0,1 +4972,fausto zepeda,fausto,zepeda,2013-10-01,Male,1959-06-29,56,Greater than 45,Hispanic,0,1,0,0,4,,,,10006540CF10B,2010-04-13,,1267,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,,,4,0,913,0,0 +4973,javon taylor,javon,taylor,2014-02-06,Male,1993-03-06,23,Less than 25,African-American,0,9,0,0,6,-1,2014-02-05 06:40:35,2014-02-06 09:11:05,14001665CF10A,2014-02-05,,1,F,Uttering a Forged Instrument,1,14008058CF10A,(F3),1,2014-06-09,Tamper With Witness/Victim/CI,2014-06-10,2014-07-16,,0,,,,,Risk of Recidivism,9,High,2014-02-06,Risk of Violence,8,High,2014-02-06,2015-07-27,2015-10-05,6,0,123,1,1 +4977,gary riess,gary,riess,2013-03-06,Male,1976-07-10,39,25 - 45,Caucasian,6,7,1,0,17,-1,2013-03-05 01:30:40,2013-09-02 03:06:51,13003298CF10A,2013-03-05,,1,F,Possession of Cocaine,1,14033403TC40A,(M2),,2014-05-07,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-06,Risk of Violence,5,Medium,2013-03-06,2013-03-05,2013-09-02,17,180,427,1,1 +4978,denzel obrien,denzel,obrien,2013-04-28,Male,1991-01-08,25,25 - 45,African-American,0,3,0,0,1,-1,2013-04-27 05:25:08,2013-04-28 01:21:18,10010032CF10A,,2013-04-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-28,Risk of Violence,6,Medium,2013-04-28,2014-04-29,2014-07-11,1,0,366,0,0 +4979,james greene,james,greene,2013-01-31,Male,1973-10-01,42,25 - 45,African-American,0,8,0,0,6,-1,2013-01-30 12:01:07,2013-01-31 01:50:17,13003377CF10A,2013-01-30,,1,F,Felony Battery w/Prior Convict,1,14003153CF10A,(F3),0,2014-01-16,Possession of Cocaine,2014-01-16,2014-01-23,,0,,,,,Risk of Recidivism,8,High,2013-01-31,Risk of Violence,8,High,2013-01-31,2014-01-16,2014-01-23,6,0,350,1,1 +4980,xavier serrano,xavier,serrano,2013-12-05,Male,1986-09-12,29,25 - 45,Caucasian,0,3,0,0,1,-1,2013-12-04 08:04:24,2014-01-16 11:00:21,13022549MM10A,2013-12-04,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-05,Risk of Violence,2,Low,2013-12-05,2013-12-04,2014-01-16,1,42,848,0,0 +4982,franklin cedeno,franklin,cedeno,2013-08-11,Male,1977-12-30,38,25 - 45,Caucasian,0,1,0,0,2,-1,2013-08-10 01:32:23,2013-08-11 07:07:19,13015105MM10A,2013-08-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-11,Risk of Violence,2,Low,2013-08-11,2013-08-10,2013-08-11,2,0,964,0,0 +4983,marshall jacobs,marshall,jacobs,2013-12-15,Male,1984-04-02,32,25 - 45,Caucasian,0,5,2,1,10,-1,2013-12-14 12:27:01,2013-12-21 05:51:12,13017289CF10A,2013-12-14,,1,F,Crlty Twrd Child Urge Oth Act,1,14002465MM10A,(M1),0,2014-02-12,Resist/Obstruct W/O Violence,2014-02-12,2014-02-12,,0,,,,,Risk of Recidivism,5,Medium,2013-12-15,Risk of Violence,3,Low,2013-12-15,2014-02-12,2014-02-12,10,6,59,0,1 +4990,justin gonzaga,justin,gonzaga,2014-11-15,Male,1992-06-18,23,Less than 25,Caucasian,0,5,0,0,4,-1,2014-11-14 05:54:48,2014-11-15 02:31:20,14016326MM10A,2014-11-14,,1,M,Battery,1,15002201MM40A,(M1),,2015-05-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2014-11-15,Risk of Violence,4,Low,2014-11-15,2015-10-21,2015-10-22,4,0,184,1,1 +4991,malachi wilson,malachi,wilson,2013-06-18,Male,1957-11-11,58,Greater than 45,African-American,0,3,0,0,10,-3,2013-06-15 08:00:48,2013-06-17 05:04:07,13008517CF10A,2013-06-15,,3,F,Possession of Cocaine,1,13009550CF10A,(F3),0,2013-07-08,Possession of Cocaine,2013-07-08,2013-08-21,,0,,,,,Risk of Recidivism,3,Low,2013-06-18,Risk of Violence,2,Low,2013-06-18,2013-07-08,2013-08-21,10,0,20,1,1 +4992,courtney alexander,courtney,alexander,2013-02-17,Male,1973-05-20,42,25 - 45,African-American,0,6,0,0,9,0,2013-02-17 03:37:19,2013-02-17 07:51:18,13002429CF10A,2013-02-17,,0,F,Possession of Cannabis,1,13046308TC20A,(M2),97,2013-07-24,Driving License Suspended,2013-10-29,2013-10-30,,0,,,,,Risk of Recidivism,6,Medium,2013-02-17,Risk of Violence,4,Low,2013-02-17,2014-09-07,2014-09-07,9,0,157,1,1 +4993,jamie osorio,jamie,osorio,2013-02-01,Male,1963-07-26,52,Greater than 45,Hispanic,0,4,0,0,3,-1,2013-01-31 10:43:21,2013-02-14 06:00:43,13001559CF10A,2013-01-31,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,3,Low,2013-02-01,2015-04-21,2016-03-30,3,13,809,0,0 +4994,chase valadez,chase,valadez,2014-04-14,Male,1989-05-04,26,25 - 45,Caucasian,0,4,0,0,1,0,2014-04-14 06:26:32,2014-04-23 01:20:26,14005204CF10A,2014-04-14,,0,F,Grand Theft (Motor Vehicle),1,14007110MM10A,(M2),0,2014-04-29,Trespass Struct/Conveyance,2014-04-29,2014-05-03,,0,,,,,Risk of Recidivism,4,Low,2014-04-14,Risk of Violence,4,Low,2014-04-14,2014-04-29,2014-05-03,1,9,15,1,1 +4996,carlos ramos,carlos,ramos,2013-11-12,Male,1989-02-18,27,25 - 45,Caucasian,0,1,0,0,1,0,2013-11-12 01:08:55,2013-11-13 02:28:14,13015698CF10A,2013-11-11,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-12,Risk of Violence,2,Low,2013-11-12,2013-11-12,2013-11-13,1,1,871,0,0 +4998,john intindola,john,intindola,2013-05-16,Male,1982-08-03,33,25 - 45,Caucasian,0,2,0,0,1,-1,2013-05-15 06:27:22,2013-05-16 04:09:53,13006957CF10A,,2013-05-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-16,Risk of Violence,2,Low,2013-05-16,2013-05-15,2013-05-16,1,0,1051,0,0 +4999,james charles,james,charles,2014-04-08,Male,1982-09-18,33,25 - 45,African-American,0,8,0,0,2,0,2014-04-08 12:08:06,2014-04-08 08:58:15,14004887CF10A,2014-04-07,,1,F,Grand Theft in the 3rd Degree,1,15013616CF10A,(F3),,2015-01-22,Crim Use of Personal ID Info,,,,0,,,,,Risk of Recidivism,8,High,2014-04-08,Risk of Violence,9,High,2014-04-08,2014-04-08,2014-04-08,2,0,289,1,1 +5001,shiquel armstrong,shiquel,armstrong,2013-08-06,Male,1992-10-05,23,Less than 25,African-American,0,2,0,0,0,-1,2013-08-05 03:50:42,2013-08-06 07:30:31,13014734MM10A,2013-08-05,,1,M,Battery,1,14022773TC20A,(M2),36,2013-11-04,Susp Drivers Lic 1st Offense,2013-12-10,2013-12-11,,0,,,,,Risk of Recidivism,2,Low,2013-08-06,Risk of Violence,4,Low,2013-08-06,2016-01-24,2016-01-25,0,0,90,1,1 +5003,javaris mims,javaris,mims,2014-06-14,Male,1990-09-11,25,25 - 45,African-American,0,8,1,0,4,-1,2014-06-13 03:03:54,2014-07-02 05:35:00,14003397CF10A,,2014-06-13,1,F,arrest case no charge,1,16000439MM30A,(M1),,2016-03-03,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2014-06-14,Risk of Violence,6,Medium,2014-06-14,2015-06-05,2015-06-05,4,18,356,0,1 +5004,jason john,jason,john,2014-04-16,Male,1983-05-28,32,25 - 45,African-American,0,2,0,0,0,-1,2014-04-15 05:45:50,2014-04-21 01:59:34,14005278CF10A,2014-04-15,,1,F,False Imprisonment,1,15000312CF10A,(F3),0,2015-01-07,Possession of Cannabis,2015-01-07,2015-01-10,,0,,,,,Risk of Recidivism,2,Low,2014-04-16,Risk of Violence,1,Low,2014-04-16,2014-04-23,2014-05-08,0,5,7,0,1 +5005,alberto rodriguez,alberto,rodriguez,2014-02-15,Male,1981-12-03,34,25 - 45,Hispanic,0,9,0,0,14,-1,2014-02-14 11:36:09,2014-03-27 05:15:33,14002128CF10A,2014-02-14,,1,F,Grand Theft in the 3rd Degree,1,14014012CF10A,(F3),0,2014-10-17,Grand Theft in the 3rd Degree,2014-10-17,2014-11-13,,0,,,,,Risk of Recidivism,9,High,2014-02-15,Risk of Violence,9,High,2014-02-15,2014-10-17,2014-11-13,14,40,244,1,1 +5009,samia aviles,samia,aviles,2013-10-27,Female,1987-03-11,29,25 - 45,Caucasian,0,2,0,0,0,-1,2013-10-26 05:21:11,2013-10-28 03:08:35,13020331MM10A,2013-10-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-27,Risk of Violence,2,Low,2013-10-27,2013-10-26,2013-10-28,0,1,887,0,0 +5010,cori butler,cori,butler,2013-06-05,Male,1977-07-05,38,25 - 45,African-American,0,9,0,0,19,-4,2013-06-01 09:43:13,2013-06-02 08:07:58,13007397CF10A,,2013-06-01,4,F,arrest case no charge,1,13014308CF10A,(F3),0,2013-10-12,Possession of Cocaine,2013-10-12,2013-10-12,,1,13016265CF10A,(F2),2013-11-22,Throw Deadly Missile Into Veh,Risk of Recidivism,9,High,2013-06-05,Risk of Violence,5,Medium,2013-06-05,2013-08-23,2013-08-25,19,0,79,0,1 +5012,william calder,william,calder,2013-04-08,Male,1986-08-02,29,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-07 09:28:07,2013-04-08 07:50:27,13006655MO10A,2013-04-07,,1,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-07,2013-04-08,0,0,1089,0,0 +5014,darryl harden,darryl,harden,2014-01-25,Male,1988-09-03,27,25 - 45,African-American,0,8,0,0,6,-1,2014-01-24 07:00:47,2014-02-28 05:27:38,14001077CF10A,2014-01-24,,1,F,Possession Burglary Tools,1,15033040TC10A,(M2),,2015-11-19,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2014-01-25,Risk of Violence,9,High,2014-01-25,2014-01-24,2014-02-28,6,34,663,1,1 +5015,amit chanardip,amit,chanardip,2014-11-02,Male,1990-10-22,25,25 - 45,Caucasian,0,2,0,0,0,0,2014-11-02 01:40:04,2014-11-03 01:45:01,14015845MM10A,2014-11-01,,1,M,Disorderly Intoxication,1,15018127MU10A,(M1),0,2015-06-20,DUI Property Damage/Injury,2015-06-20,2015-06-21,,0,,,,,Risk of Recidivism,2,Low,2014-11-02,Risk of Violence,2,Low,2014-11-02,2015-06-20,2015-06-21,0,1,230,1,1 +5017,michelle otto,michelle,otto,2013-10-10,Female,1985-03-22,31,25 - 45,Caucasian,0,5,0,2,2,-1,2013-10-09 04:32:58,2013-10-10 09:49:23,13014179CF10A,,2013-10-09,1,F,arrest case no charge,1,15000996CF10A,(M1),0,2015-01-22,Possess Drug Paraphernalia,2015-01-22,2015-02-25,,0,,,,,Risk of Recidivism,5,Medium,2013-10-10,Risk of Violence,4,Low,2013-10-10,2014-10-16,2014-11-27,2,0,371,0,1 +5019,brandon simmons,brandon,simmons,2013-01-10,Male,1985-06-08,30,25 - 45,African-American,0,9,0,0,8,0,2013-01-10 03:26:18,2013-03-16 02:36:31,13000151CF10A,,2013-01-10,0,F,arrest case no charge,1,13120650TC30A,(M2),407,2013-11-28,Operating W/O Valid License,2015-01-09,2015-01-27,,0,,,,,Risk of Recidivism,9,High,2013-01-10,Risk of Violence,9,High,2013-01-10,2013-01-10,2013-03-16,8,65,322,1,1 +5020,nathaniel adderly,nathaniel,adderly,2014-01-18,Male,1974-11-12,41,25 - 45,African-American,0,7,0,0,0,-1,2014-01-17 10:36:32,2014-01-18 01:22:01,14000775CF10A,2014-01-17,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-18,Risk of Violence,1,Low,2014-01-18,2014-01-17,2014-01-18,0,0,804,0,0 +5022,tarzan saulsby,tarzan,saulsby,2013-04-11,Male,1956-07-27,59,Greater than 45,African-American,0,4,0,0,8,-1,2013-04-10 05:27:44,2013-04-15 09:13:23,13005158CF10A,2013-04-10,,1,F,Possession of Cocaine,1,15007826CF10A,(F3),0,2015-06-17,Possession of Cocaine,2015-06-17,2015-10-11,,0,,,,,Risk of Recidivism,4,Low,2013-04-11,Risk of Violence,2,Low,2013-04-11,2014-02-19,2014-03-01,8,4,314,0,0 +5023,christian torres,christian,torres,2013-12-13,Male,1994-10-04,21,Less than 25,Caucasian,0,4,0,0,1,-1,2013-12-12 11:06:24,2013-12-13 01:47:07,13023012MM10A,2013-12-12,,1,M,Battery,1,14008832MM10A,(M1),0,2014-06-03,Battery,2014-06-03,2014-06-04,,1,14008832MM10A,(M1),2014-06-03,Battery,Risk of Recidivism,4,Low,2013-12-13,Risk of Violence,7,Medium,2013-12-13,2014-06-03,2014-06-04,1,0,172,1,1 +5025,michelle higgins,michelle,higgins,2014-11-07,Female,1983-03-17,33,25 - 45,African-American,0,4,0,0,6,-51,2014-09-17 08:27:32,2014-09-17 08:07:28,13022987MM10A,,2014-09-17,51,M,arrest case no charge,1,16010201TC30A,(M2),,2016-02-13,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,4,Low,2014-11-07,Risk of Violence,4,Low,2014-11-07,2014-09-17,2014-09-17,6,0,463,1,1 +5027,storm tillman,storm,tillman,2014-07-30,Male,1989-04-07,27,25 - 45,African-American,0,4,0,0,6,-1,2014-07-29 04:26:10,2014-09-06 05:54:30,14010332CF10A,2014-07-29,,1,F,Felony Petit Theft,1,14016162CF10A,(M1),0,2014-12-04,Possess Cannabis/20 Grams Or Less,2014-12-04,2014-12-22,,0,,,,,Risk of Recidivism,4,Low,2014-07-30,Risk of Violence,2,Low,2014-07-30,2014-12-04,2014-12-22,6,38,127,1,1 +5033,cian campbell,cian,campbell,2014-03-04,Male,1985-07-09,30,25 - 45,African-American,0,1,0,0,0,-1,2014-03-03 02:22:21,2014-03-04 10:10:53,14003014CF10A,2014-03-02,,2,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-04,Risk of Violence,2,Low,2014-03-04,2014-03-03,2014-03-04,0,0,759,0,0 +5035,james reeves,james,reeves,2013-04-06,Male,1972-07-21,43,25 - 45,Caucasian,0,5,0,0,4,-1,2013-04-05 10:35:56,2013-05-23 07:05:55,13004902CF10A,2013-04-05,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-06,Risk of Violence,1,Low,2013-04-06,2013-04-05,2013-05-23,4,47,1091,0,0 +5037,tess giesen,tess,giesen,2014-01-09,Female,1991-07-12,24,Less than 25,Caucasian,0,9,0,1,2,-2,2014-01-07 05:06:31,2014-01-07 08:45:09,14000267CF10A,2014-01-06,,3,F,Obtain Control Substance By Fraud,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-09,Risk of Violence,4,Low,2014-01-09,2014-01-07,2014-01-07,2,0,813,0,0 +5042,napoleon culver,napoleon,culver,2013-05-26,Male,1971-01-12,45,Greater than 45,African-American,0,7,0,0,13,-1,2013-05-25 08:32:38,2013-05-31 11:05:15,13010055MM10A,2013-05-25,,1,M,Viol Injunction Protect Dom Vi,1,15005663CF10A,(F3),1,2015-04-29,Felony Battery w/Prior Convict,2015-04-30,2015-04-30,,1,15005663CF10A,(F3),2015-04-29,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-05-26,Risk of Violence,6,Medium,2013-05-26,2013-06-13,2013-08-08,13,5,18,0,1 +5043,omar yunis,omar,yunis,2013-01-03,Male,1992-08-29,23,Less than 25,Caucasian,0,9,0,1,0,0,2013-01-03 12:02:47,2013-01-22 08:41:13,13000075CF10A,2013-01-02,,1,F,False Imprisonment,1,14008442MM10A,(M1),1,2014-05-26,Battery,2014-05-27,2014-06-06,,1,14008442MM10A,(M1),2014-05-26,Battery,Risk of Recidivism,9,High,2013-01-03,Risk of Violence,9,High,2013-01-03,2013-01-03,2013-01-22,0,19,508,1,1 +5045,karen darnell,karen,darnell,2013-07-18,Female,1976-02-20,40,25 - 45,Caucasian,0,10,0,0,5,16,2013-08-03 02:48:08,2013-09-27 10:30:43,12004314CF10A,2012-03-22,,483,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-07-18,Risk of Violence,3,Low,2013-07-18,2013-08-03,2013-09-27,5,0,16,0,0 +5046,nashavia hemingway,nashavia,hemingway,2013-10-29,Female,1992-11-05,23,Less than 25,African-American,0,7,0,0,0,-1,2013-10-28 05:52:52,2013-10-30 12:28:17,13015043CF10A,2013-10-28,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,6,Medium,2013-10-29,2013-10-28,2013-10-30,0,1,885,0,0 +5047,cipher allah,cipher,allah,2013-03-22,Male,1976-12-13,39,25 - 45,African-American,0,2,0,0,3,-1,2013-03-21 03:33:14,2013-03-22 09:40:17,13004088CF10A,,2013-03-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-22,Risk of Violence,3,Low,2013-03-22,2013-03-21,2013-03-22,3,0,1106,0,0 +5048,danise joseph,danise,joseph,2014-01-30,Female,1989-09-30,26,25 - 45,African-American,0,5,0,0,5,-1,2014-01-29 10:34:13,2014-03-04 04:19:21,14001289CF10A,2014-01-29,,1,F,Aggrav Battery w/Deadly Weapon,1,14049843TC20A,(M2),,2014-07-11,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-30,Risk of Violence,6,Medium,2014-01-30,2014-01-29,2014-03-04,5,33,162,1,1 +5049,jennifer nguyen,jennifer,nguyen,2013-07-08,Female,1989-05-04,26,25 - 45,Caucasian,0,2,0,0,0,-2,2013-07-06 01:41:52,2013-07-06 09:09:51,13012793MM10A,2013-07-05,,3,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-08,Risk of Violence,2,Low,2013-07-08,2013-07-06,2013-07-06,0,0,998,0,0 +5050,tevin williams,tevin,williams,2013-08-06,Male,1994-08-24,21,Less than 25,African-American,0,4,0,0,0,0,2013-08-06 03:34:21,2013-08-07 08:33:52,13014863MM10A,2013-08-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-06,Risk of Violence,6,Medium,2013-08-06,2013-08-06,2013-08-07,0,1,969,0,0 +5051,steven grimmer,steven,grimmer,2013-03-05,Male,1985-12-26,30,25 - 45,Caucasian,0,3,1,1,3,-1,2013-03-04 02:15:12,2013-05-08 10:08:45,13003259CF10A,2013-03-04,,1,F,Tampering with a Victim,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-05,Risk of Violence,3,Low,2013-03-05,2013-03-04,2013-05-08,3,64,1123,0,0 +5052,amer raja,amer,raja,2013-09-04,Male,1972-04-01,44,25 - 45,Caucasian,0,4,0,0,0,0,2013-09-04 12:17:51,2013-09-16 07:36:54,13012428CF10A,2013-09-03,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-04,2013-09-16,0,12,940,0,0 +5053,jonathan lee,jonathan,lee,2013-10-17,Male,1994-10-24,21,Less than 25,African-American,0,7,0,0,1,-21,2013-09-26 12:29:45,2013-10-17 10:17:36,13013504CF10A,2013-09-25,,22,F,Burglary Dwelling Armed,1,14014087MM10A,(M1),0,2014-09-10,Resist/Obstruct W/O Violence,2014-09-10,2014-10-02,,0,,,,,Risk of Recidivism,7,Medium,2013-10-17,Risk of Violence,8,High,2013-10-17,2014-09-10,2014-10-02,1,0,328,1,1 +5054,joseph maquez,joseph,maquez,2013-02-14,Male,1992-11-15,23,Less than 25,African-American,0,4,0,0,0,-1,2013-02-13 09:00:36,2013-02-15 05:30:29,13003188MM10A,2013-02-13,,1,M,Lewdness Violation,1,15018235TC40A,(M2),,2015-03-06,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-14,Risk of Violence,5,Medium,2013-02-14,2013-02-13,2013-02-15,0,1,750,1,0 +5057,jondra grier,jondra,grier,2014-02-04,Female,1966-09-27,49,Greater than 45,African-American,0,1,0,0,1,-1,2014-02-03 05:28:44,2014-02-04 01:31:25,14001512CF10A,2014-02-03,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-03,2014-02-04,1,0,787,0,0 +5058,jordan johnson,jordan,johnson,2014-09-27,Male,1993-02-02,23,Less than 25,African-American,0,10,0,0,3,-1,2014-09-26 03:52:35,2014-11-18 10:06:29,14013072CF10A,2014-09-26,,1,F,Grand Theft in the 3rd Degree,1,15005574MM10A,(M1),1,2015-05-20,Possess Cannabis/20 Grams Or Less,2015-05-21,2015-08-29,,0,,,,,Risk of Recidivism,10,High,2014-09-27,Risk of Violence,8,High,2014-09-27,2015-02-16,2015-02-24,3,52,142,0,1 +5060,gary cunningham,gary,cunningham,2013-02-04,Male,1992-01-28,24,Less than 25,African-American,0,5,0,0,1,-1,2013-02-03 05:28:09,2013-04-19 06:07:00,13001689CF10A,2013-02-03,,1,F,Possession of Cocaine,1,13015727MM10A,(M1),0,2013-08-19,Possess Cannabis/20 Grams Or Less,2013-08-19,2014-04-23,,0,,,,,Risk of Recidivism,5,Medium,2013-02-04,Risk of Violence,7,Medium,2013-02-04,2013-08-19,2014-04-23,1,74,196,1,1 +5061,tiarra jones,tiarra,jones,2014-04-26,Female,1994-11-17,21,Less than 25,African-American,0,4,0,0,1,-1,2014-04-25 05:54:49,2014-04-26 01:10:22,14005778CF10A,,2014-04-25,1,F,arrest case no charge,1,15027829TC10A,(M2),,2015-10-01,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2014-04-26,Risk of Violence,5,Medium,2014-04-26,2014-04-25,2014-04-26,1,0,523,1,1 +5062,melissa bennett,melissa,bennett,2013-08-16,Female,1979-02-09,37,25 - 45,Caucasian,0,6,0,0,7,-30,2013-07-17 07:25:41,2013-07-24 07:05:16,13010026CF10A,2013-07-17,,30,F,False Ownership Info/Pawn Item,1,13013253CF10A,(F3),0,2013-09-20,Grand Theft in the 3rd Degree,2013-09-20,2014-02-20,,0,,,,,Risk of Recidivism,6,Medium,2013-08-16,Risk of Violence,2,Low,2013-08-16,2013-09-20,2014-02-20,7,0,35,1,1 +5063,monique howard,monique,howard,2013-08-07,Female,1994-12-15,21,Less than 25,African-American,0,5,0,0,1,,,,13014866MM10A,2013-08-06,,1,M,Battery,1,14008814CF10A,(F3),,2014-06-13,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-07,Risk of Violence,6,Medium,2013-08-07,,,1,0,310,1,1 +5064,joshua flewellyn,joshua,flewellyn,2013-10-04,Male,1987-04-29,28,25 - 45,Caucasian,0,2,0,0,2,-1,2013-10-03 03:57:15,2013-10-13 05:03:29,13008300CF10A,,2013-10-03,1,F,arrest case no charge,1,14069451TC20A,(M2),,2014-10-02,Operating W/O Valid License,,,,1,14014624MM10A,(M1),2014-10-05,Battery,Risk of Recidivism,2,Low,2013-10-04,Risk of Violence,3,Low,2013-10-04,2013-10-03,2013-10-13,2,9,363,1,1 +5065,christopher sternberg,christopher,sternberg,2013-10-08,Male,1973-09-22,42,25 - 45,Caucasian,0,4,0,0,2,-43,2013-08-26 07:56:02,2013-10-06 06:12:54,13016328MM10A,2013-08-26,,43,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-08,Risk of Violence,5,Medium,2013-10-08,2013-08-26,2013-10-06,2,0,906,0,0 +5066,youvens horace,youvens,horace,2013-04-07,Male,1992-05-15,23,Less than 25,Other,0,6,2,0,7,0,2013-04-07 03:12:39,2013-04-16 10:03:25,13004966CF10A,2013-04-06,,1,F,Carrying Concealed Firearm,1,13014105MM10A,(M1),0,2013-07-25,Resist/Obstruct W/O Violence,2013-07-25,2013-07-31,,1,14010273CF10A,(F2),2014-07-26,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-04-07,Risk of Violence,8,High,2013-04-07,2013-07-25,2013-07-31,7,9,109,1,1 +5067,johnna jones,johnna,jones,2014-08-10,Female,1991-09-04,24,Less than 25,African-American,0,6,0,0,2,-1,2014-08-09 08:59:23,2014-08-10 09:28:19,14010851CF10A,2014-08-09,,1,F,Felony Driving While Lic Suspd,1,15000271MM30A,(M1),,2015-01-11,Possess Drug Paraphernalia,,,,1,15015879CF10A,(F7),2015-12-10,Burglary Dwelling Armed,Risk of Recidivism,6,Medium,2014-08-10,Risk of Violence,4,Low,2014-08-10,2014-08-09,2014-08-10,2,0,154,1,1 +5068,jarod singh,jarod,singh,2014-01-22,Male,1984-06-26,31,25 - 45,Caucasian,0,7,0,0,0,0,2014-01-22 12:19:55,2014-01-22 08:35:10,14000913CF10A,2014-01-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-22,Risk of Violence,6,Medium,2014-01-22,2014-01-22,2014-01-22,0,0,800,0,0 +5069,jamar wright,jamar,wright,2013-05-08,Male,1991-06-05,24,Less than 25,African-American,1,10,0,0,2,-1,2013-05-07 01:39:21,2014-09-25 06:21:45,13018794MM10A,2013-05-07,,1,M,Prostitution/Lewd Act Assignation,1,14008981MM10A,(M1),,2014-06-04,Indecent Exposure,,,,0,,,,,Risk of Recidivism,10,High,2013-05-08,Risk of Violence,9,High,2013-05-08,2013-05-07,2014-09-25,2,0,392,1,1 +5071,daniel reid,daniel,reid,2013-04-08,Male,1990-08-28,25,25 - 45,African-American,0,2,0,0,1,-1,2013-04-07 08:23:40,2013-04-08 07:34:25,13004984CF10A,,2013-04-07,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-12-19,2014-04-16,1,0,255,0,0 +5073,john walker,john,walker,2013-10-02,Male,1960-08-31,55,Greater than 45,African-American,0,2,0,0,12,,,,09013094CF10A,,2010-08-06,1153,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,1998-12-01,2001-06-08,12,0,912,0,0 +5074,jhims donner,jhims,donner,2013-03-24,Male,1983-04-02,33,25 - 45,African-American,0,1,0,0,1,-1,2013-03-23 04:32:28,2013-03-24 07:19:46,13005727MM10A,2013-03-23,,1,M,Battery,1,13082690TC30A,(M2),,2013-08-18,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-24,Risk of Violence,1,Low,2013-03-24,2013-03-23,2013-03-24,1,0,147,1,1 +5075,steven toussaint,steven,toussaint,2013-01-13,Male,1989-08-25,26,25 - 45,African-American,1,10,3,0,24,-1,2013-01-12 11:37:16,2013-04-08 08:36:41,13000716MM10A,2013-01-12,,1,M,Resist/Obstruct W/O Violence,1,14007646CF10A,(F3),,2014-04-02,Fleeing Or Attmp Eluding A Leo,,,,1,14007646CF10A,(F2),2014-04-01,Agg Assault Law Enforc Officer,Risk of Recidivism,10,High,2013-01-13,Risk of Violence,10,High,2013-01-13,2013-01-12,2013-04-08,24,85,444,1,1 +5078,sophie robinson,sophie,robinson,2013-04-18,Male,1988-07-24,27,25 - 45,African-American,0,7,0,0,1,-1,2013-04-17 10:42:28,2013-04-23 07:14:50,12015243CF10A,,2013-04-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-18,Risk of Violence,4,Low,2013-04-18,2013-04-17,2013-04-23,1,5,1079,0,0 +5079,bowie balentine,bowie,balentine,2013-09-05,Male,1990-01-24,26,25 - 45,Caucasian,0,2,0,0,3,-123,2013-05-05 06:10:13,2013-05-06 07:43:27,13008695MM10A,2013-05-05,,123,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-05-05,2013-05-06,3,0,939,0,0 +5083,brian quirama,brian,quirama,2013-08-15,Male,1994-10-06,21,Less than 25,Hispanic,0,10,0,0,0,,,,,,,,M,,1,15003184CF10A,(F3),0,2015-03-09,Tampering With Physical Evidence,2015-03-09,2015-06-30,,0,,,,,Risk of Recidivism,10,High,2013-08-15,Risk of Violence,9,High,2013-08-15,2015-03-09,2015-06-30,0,493,571,1,1 +5084,regina battle,regina,battle,2013-01-01,Female,1988-06-28,27,25 - 45,African-American,0,4,0,0,0,,,,13000002MM10A,2012-12-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-01,Risk of Violence,3,Low,2013-01-01,,,0,0,1186,0,0 +5086,zeke zikria,zeke,zikria,2013-04-26,Male,1969-11-11,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-25 05:09:02,2013-04-27 04:59:30,13005960CF10A,2013-04-25,,1,F,Possession of Cocaine,1,15006848CF10A,(M1),1,2015-05-25,Resist/Obstruct W/O Violence,2015-05-26,2015-05-27,,1,15006848CF10A,(F3),2015-05-25,Battery on Law Enforc Officer,Risk of Recidivism,1,Low,2013-04-26,Risk of Violence,1,Low,2013-04-26,2013-09-24,2013-10-01,0,1,151,0,0 +5088,lizzette graf,lizzette,graf,2013-02-10,Female,1977-12-12,38,25 - 45,Caucasian,0,6,0,0,1,-1,2013-02-09 03:23:30,2013-02-10 08:17:31,13002923MM10A,2013-02-09,,1,M,Battery,1,14007946MM10A,(M1),1,2014-05-14,Resist/Obstruct W/O Violence,2014-05-15,2014-05-15,,1,14010189CF10A,(M1),2014-07-26,Battery,Risk of Recidivism,6,Medium,2013-02-10,Risk of Violence,4,Low,2013-02-10,2014-07-26,2014-08-29,1,0,458,1,1 +5094,lakeinyas david,lakeinyas,david,2013-02-13,Female,1992-01-17,24,Less than 25,African-American,0,5,0,0,0,-1,2013-02-12 11:40:28,2013-02-13 10:02:55,13003103MM10A,2013-02-12,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-13,Risk of Violence,5,Medium,2013-02-13,2013-02-12,2013-02-13,0,0,1143,0,0 +5096,romania graham,romania,graham,2014-03-23,Female,1977-08-24,38,25 - 45,African-American,0,4,0,0,0,-1,2014-03-22 09:07:19,2014-03-23 09:07:42,14005138MM10A,2014-03-22,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-23,0,0,740,0,0 +5098,germaine lynch,germaine,lynch,2014-04-11,Male,1988-09-23,27,25 - 45,African-American,0,9,0,0,7,-1,2014-04-10 01:36:12,2014-04-14 09:18:25,14004986CF10A,2014-04-10,,1,F,Burglary Conveyance Unoccup,1,14008725MM10A,(CO3),0,2014-06-01,Drink Near Licensed Establishm,2014-06-01,2014-06-02,,0,,,,,Risk of Recidivism,9,High,2014-04-11,Risk of Violence,6,Medium,2014-04-11,2014-06-01,2014-06-02,7,3,51,1,1 +5099,cornelius toney,cornelius,toney,2013-11-24,Male,1968-03-12,48,Greater than 45,African-American,0,3,0,0,6,-1,2013-11-23 10:19:26,2013-11-25 03:46:03,11020634CF10A,,2013-11-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-24,Risk of Violence,2,Low,2013-11-24,2013-11-23,2013-11-25,6,1,859,0,0 +5100,marie panebianco,marie,panebianco,2014-03-26,Female,1984-11-27,31,25 - 45,Caucasian,0,4,0,0,2,-28,2014-02-26 05:57:43,2014-03-25 10:21:37,14002715CF10A,2014-02-26,,28,F,Possession of Cocaine,1,15015982CF10A,(F3),6,2015-07-24,Poss Pyrrolidinovalerophenone,2015-07-30,2015-08-01,,0,,,,,Risk of Recidivism,4,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2014-05-16,2014-06-06,2,0,51,0,1 +5101,alfred glinton,alfred,glinton,2013-05-13,Male,1987-04-26,28,25 - 45,African-American,0,5,0,0,5,-1,2013-05-12 11:23:34,2013-07-03 03:58:04,13009150MM10A,2013-05-12,,1,M,Battery,1,13016717CF10A,(F2),,2013-11-03,Burglary Unoccupied Dwelling,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-13,Risk of Violence,7,Medium,2013-05-13,2013-05-12,2013-07-03,5,51,174,1,1 +5103,robert rodriguez,robert,rodriguez,2013-11-06,Male,1986-01-14,30,25 - 45,Hispanic,0,9,0,0,7,-1,2013-11-05 01:13:15,2013-11-06 08:26:17,13015426CF10A,2013-11-05,,1,F,Agg Assault W/int Com Fel Dome,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-06,Risk of Violence,7,Medium,2013-11-06,2013-11-05,2013-11-06,7,0,877,0,0 +5106,tyler moore,tyler,moore,2014-07-18,Male,1990-10-31,25,25 - 45,Caucasian,0,5,0,1,6,-1,2014-07-17 04:35:23,2014-07-18 12:57:24,14010956MO10A,2014-07-17,,1,M,Petit Theft,1,14012438MO10A,(MO3),0,2014-08-18,Trespass,2014-08-18,2014-09-15,,0,,,,,Risk of Recidivism,5,Medium,2014-07-18,Risk of Violence,4,Low,2014-07-18,2014-08-18,2014-09-15,6,0,31,1,1 +5107,kendrick edwards,kendrick,edwards,2013-02-14,Male,1988-07-21,27,25 - 45,African-American,0,10,0,0,8,53,2013-04-08 11:15:07,2013-05-06 02:00:57,11014296CF10A,,2012-04-26,294,F,arrest case no charge,1,13008051MM10A,(M2),0,2013-04-08,Petit Theft,2013-04-08,2013-05-06,,1,13019631MM10A,(M1),2013-10-16,Battery,Risk of Recidivism,10,High,2013-02-14,Risk of Violence,9,High,2013-02-14,2013-04-08,2013-05-06,8,0,53,1,1 +5108,terry spunger,terry,spunger,2013-03-01,Male,1961-02-05,55,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-01 04:41:49,2013-03-02 05:03:07,13004220MM10A,2013-03-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-02,0,1,1127,0,0 +5111,rashaun dubose,rashaun,dubose,2013-02-07,Male,1990-12-24,25,25 - 45,African-American,0,3,0,0,1,,,,12015375CF10A,2012-10-17,,113,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-07,Risk of Violence,4,Low,2013-02-07,,,1,0,1149,0,0 +5112,ferondo randall,ferondo,randall,2014-07-29,Male,1975-07-23,40,25 - 45,African-American,0,7,0,0,5,0,2014-07-29 01:35:57,2014-08-28 10:17:57,07022329CF10A,,2009-03-06,1971,F,arrest case no charge,1,16000806CF10A,(F3),,2015-09-21,Grand Theft in the 3rd Degree,,,,1,16002009CF10A,(F7),2016-02-17,Armed Sex Batt/vict 12 Yrs +,Risk of Recidivism,7,Medium,2014-07-29,Risk of Violence,7,Medium,2014-07-29,2014-07-29,2014-08-28,5,30,419,1,1 +5113,laxavier jones,laxavier,jones,2013-03-29,Male,1994-09-19,21,Less than 25,African-American,0,4,0,0,0,-1,2013-03-28 05:25:09,2013-03-29 12:58:27,13004510CF10A,2013-03-28,,1,F,Burglary Conveyance Unoccup,1,13013755MM10A,(M1),0,2013-07-19,Possess Cannabis/20 Grams Or Less,2013-07-19,2013-07-19,,0,,,,,Risk of Recidivism,4,Low,2013-03-29,Risk of Violence,6,Medium,2013-03-29,2013-07-19,2013-07-19,0,0,112,0,1 +5114,gary jones,gary,jones,2014-09-08,Male,1965-12-02,50,Greater than 45,Caucasian,0,7,0,0,26,-92,2014-06-08 08:36:51,2014-06-09 10:11:56,14011501CF10A,2014-08-23,,16,F,Possession of Cocaine,1,15001806MM10A,(M1),0,2015-02-12,Trespass After Warning,2015-02-12,2015-09-28,,0,,,,,Risk of Recidivism,7,Medium,2014-09-08,Risk of Violence,2,Low,2014-09-08,2015-02-12,2015-09-28,26,0,157,1,1 +5116,james gadsen,james,gadsen,2013-04-17,Male,1987-08-12,28,25 - 45,African-American,0,7,1,0,10,-1,2013-04-16 11:48:03,2013-12-16 04:04:48,11000991CF10A,,2013-04-17,0,F,arrest case no charge,1,14002441MM20A,(M2),,2014-09-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-17,Risk of Violence,6,Medium,2013-04-17,2013-04-16,2013-12-16,10,243,503,1,1 +5117,fernando hudson,fernando,hudson,2013-12-03,Male,1995-09-11,20,Less than 25,African-American,0,9,1,0,2,-16,2013-11-17 08:15:10,2013-11-18 07:29:44,13015979CF10A,2013-11-17,,16,F,Possession of Cocaine,1,14003233MM10A,(M1),,2013-12-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-12-03,Risk of Violence,7,Medium,2013-12-03,2015-06-17,2015-07-23,2,0,15,1,1 +5118,alfred tucker,alfred,tucker,2013-09-20,Male,1982-09-26,33,25 - 45,Native American,1,7,0,0,9,72,2013-12-01 02:12:39,2014-01-24 08:43:45,13008048CF10A,2013-06-06,,106,M,Aggravated Battery,1,13016642CF10A,(M1),0,2013-12-01,Resist/Obstruct W/O Violence,2013-12-01,2014-01-24,,1,13016642CF10A,(F3),2013-12-01,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-09-20,Risk of Violence,9,High,2013-09-20,2013-12-01,2014-01-24,9,0,72,1,1 +5119,gavin williams,gavin,williams,2013-05-24,Male,1984-10-30,31,25 - 45,African-American,5,9,0,0,10,-1,2013-05-23 11:03:27,2013-05-28 02:57:54,13005996CF10A,,2013-05-23,1,F,arrest case no charge,1,15002537CF10A,(F3),,2013-09-17,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,9,High,2013-05-24,Risk of Violence,6,Medium,2013-05-24,2013-05-23,2013-05-28,10,4,116,1,1 +5120,donnalie higgs,donnalie,higgs,2013-01-10,Female,1959-03-04,57,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-09 11:18:00,2013-03-28 04:57:43,13000533MM10A,2013-01-09,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,2013-01-09,2013-03-28,0,77,1177,0,0 +5121,adrian grey,adrian,grey,2013-09-17,Male,1990-05-04,25,25 - 45,African-American,0,2,0,0,0,-1,2013-09-16 02:13:27,2013-09-23 08:24:38,13017637MM10A,2013-09-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-17,Risk of Violence,4,Low,2013-09-17,2013-09-16,2013-09-23,0,6,927,0,0 +5122,taji craig,taji,craig,2013-07-26,Male,1993-11-18,22,Less than 25,African-American,0,8,4,0,7,-11,2013-07-15 09:42:15,2013-07-26 10:34:55,13007593CF10A,,2013-07-19,7,F,arrest case no charge,1,14002765CF10A,(F3),42,2014-02-06,Grand Theft in the 3rd Degree,2014-03-20,2014-08-28,,0,,,,,Risk of Recidivism,8,High,2013-07-26,Risk of Violence,9,High,2013-07-26,2014-09-11,2014-09-18,7,0,195,1,1 +5123,wisler isme,wisler,isme,2013-09-20,Male,1985-02-21,31,25 - 45,African-American,0,3,0,0,3,-1,2013-09-19 06:33:00,2013-10-05 01:36:21,13013231CF10A,2013-09-19,,1,F,Burglary Dwelling Assault/Batt,1,14007318MM10A,(M1),0,2014-05-02,Viol Injunct Domestic Violence,2014-05-02,2014-05-03,,1,14009103CF10A,(F2),2014-06-23,Neglect Child / Bodily Harm,Risk of Recidivism,3,Low,2013-09-20,Risk of Violence,2,Low,2013-09-20,2014-05-02,2014-05-03,3,15,224,1,1 +5126,michael fashaw,michael,fashaw,2014-02-03,Male,1972-06-18,43,25 - 45,African-American,0,4,0,0,7,0,2014-02-03 05:06:08,2014-02-04 02:56:14,13015886CF10A,,2014-02-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-03,Risk of Violence,3,Low,2014-02-03,2014-02-03,2014-02-04,7,1,788,0,0 +5127,marissa guedes,marissa,guedes,2013-11-18,Female,1990-07-19,25,25 - 45,Caucasian,0,4,0,0,0,-1,2013-11-17 11:43:24,2013-11-18 08:05:43,13021622MM10A,2013-11-17,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-18,Risk of Violence,3,Low,2013-11-18,2015-11-11,2015-11-16,0,0,723,0,0 +5128,jose gomez,jose,gomez,2013-01-14,Male,1977-02-02,39,25 - 45,Hispanic,0,2,0,0,1,-1,2013-01-13 11:17:44,2013-01-14 06:32:32,13000794MM10A,2013-01-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,2,Low,2013-01-14,2013-01-13,2013-01-14,1,0,1173,0,0 +5130,dorjan williams,dorjan,williams,2013-09-11,Male,1975-12-12,40,25 - 45,African-American,0,1,0,0,1,-1,2013-09-10 09:23:16,2013-09-12 05:32:53,13012795CF10A,2013-09-10,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2013-09-10,2013-09-12,1,1,933,0,0 +5131,keani baron,keani,baron,2014-05-21,Male,1995-08-16,20,Less than 25,African-American,0,5,0,0,0,-1,2014-05-20 08:05:47,2014-05-22 11:02:20,14007041CF10A,2014-05-20,,1,F,Burglary Structure Unoccup,1,16000735MM40A,(M1),,2016-01-26,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,5,Medium,2014-05-21,Risk of Violence,7,Medium,2014-05-21,2014-05-20,2014-05-22,0,1,615,1,1 +5132,freddie lockhart,freddie,lockhart,2013-01-16,Male,1980-06-18,35,25 - 45,African-American,0,7,0,0,2,-1,2013-01-15 12:23:05,2013-01-16 06:52:56,13001004MM10A,2013-01-15,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-16,Risk of Violence,4,Low,2013-01-16,2013-01-15,2013-01-16,2,0,1171,0,0 +5133,edwin mtei,edwin,mtei,2013-03-12,Male,1981-06-26,34,25 - 45,African-American,0,1,0,0,1,-1,2013-03-11 11:13:19,2013-03-13 01:46:37,13004884MM10A,,2013-03-11,1,M,arrest case no charge,1,13005438MM10A,(M2),0,2013-03-19,Prowling/Loitering,2013-03-19,2013-03-23,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-19,2013-03-23,1,1,7,1,1 +5134,michael gallo,michael,gallo,2014-10-28,Male,1988-05-22,27,25 - 45,Caucasian,0,9,0,1,18,-1,2014-10-27 03:32:31,2015-04-24 02:40:34,14014463CF10A,2014-10-27,,1,F,Felony Petit Theft,1,15001180MM10A,(M1),,2015-01-28,Indecent Exposure,,,,0,,,,,Risk of Recidivism,9,High,2014-10-28,Risk of Violence,10,High,2014-10-28,2014-10-27,2015-04-24,18,0,92,1,1 +5136,carlos pantaleon,carlos,pantaleon,2013-10-28,Male,1978-06-12,37,25 - 45,Hispanic,0,5,0,0,1,-159,2013-05-22 11:26:09,2013-10-24 12:29:02,13001958CF10A,,2013-05-22,159,F,arrest case no charge,1,14001168MM20A,(M2),191,2014-04-07,Petit Theft,2014-10-15,2014-10-31,,0,,,,,Risk of Recidivism,5,Medium,2013-10-28,Risk of Violence,3,Low,2013-10-28,2015-01-28,2015-07-07,1,0,161,1,1 +5137,cindy guerrier,cindy,guerrier,2014-06-11,Female,1978-04-15,38,25 - 45,African-American,0,1,0,0,3,0,2014-06-11 02:03:57,2014-06-11 09:07:21,14008104CF10A,2014-06-11,,0,F,Driving While License Revoked,1,14072201TC30A,(M2),0,2014-08-25,Driving License Suspended,2014-08-25,2014-08-26,,0,,,,,Risk of Recidivism,1,Low,2014-06-11,Risk of Violence,1,Low,2014-06-11,2014-08-25,2014-08-26,3,0,75,1,1 +5138,jonathan graulich,jonathan,graulich,2014-01-17,Male,1994-08-09,21,Less than 25,Caucasian,0,7,0,0,0,-1,2014-01-16 08:24:21,2014-01-17 02:18:46,14000698CF10A,2014-01-16,,1,F,Possession of Cannabis,1,15000359CF10A,(F3),1,2015-01-07,Pos Cannabis W/Intent Sel/Del,2015-01-08,2015-01-09,,0,,,,,Risk of Recidivism,7,Medium,2014-01-17,Risk of Violence,7,Medium,2014-01-17,2015-01-13,2015-02-11,0,0,355,1,1 +5140,thomas powell,thomas,powell,2014-02-08,Male,1990-10-16,25,25 - 45,African-American,0,1,0,0,0,-1,2014-02-07 02:05:54,2014-02-08 09:05:39,14002167MM10A,2014-02-07,,1,M,Battery,1,14002599MM40A,(M1),,2014-06-02,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-08,Risk of Violence,2,Low,2014-02-08,2014-02-07,2014-02-08,0,0,114,1,1 +5141,waldo ford,waldo,ford,2013-03-10,Male,1962-10-01,53,Greater than 45,African-American,0,6,0,0,6,-1,2013-03-09 03:30:51,2013-03-17 04:46:00,13004742MM10A,2013-03-09,,1,M,Petit Theft,1,13006046MM10A,(M1),1,2013-03-28,Resist/Obstruct W/O Violence,2013-03-29,2013-07-18,,0,,,,,Risk of Recidivism,6,Medium,2013-03-10,Risk of Violence,3,Low,2013-03-10,2013-03-09,2013-03-17,6,7,18,1,1 +5142,stephanie hardy,stephanie,hardy,2013-12-06,Female,1965-07-26,50,Greater than 45,African-American,0,3,0,0,4,-1,2013-12-05 02:24:02,2013-12-18 10:47:36,13016826CF10A,2013-12-04,,2,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2015-01-20,2015-05-04,4,12,410,0,0 +5143,arielle welcher,arielle,welcher,2014-03-26,Female,1993-02-05,23,Less than 25,Caucasian,0,6,0,0,1,0,2014-03-26 01:42:17,2014-03-27 03:07:45,14005239MM10A,2014-03-26,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-26,Risk of Violence,4,Low,2014-03-26,2014-03-26,2014-03-27,1,1,737,0,0 +5145,delton thompkins,delton,thompkins,2013-01-25,Male,1988-05-27,27,25 - 45,African-American,1,4,0,0,2,165,2013-07-09 07:35:09,2013-08-02 10:31:23,12016651CF10A,2012-11-13,,73,F,Deliver Cocaine,1,13013025MM10A,(M2),0,2013-07-09,Prowling/Loitering,2013-07-09,2013-08-02,,0,,,,,Risk of Recidivism,4,Low,2013-01-25,Risk of Violence,5,Medium,2013-01-25,2013-07-09,2013-08-02,2,0,165,1,1 +5147,loutess louissaint,loutess,louissaint,2014-06-21,Male,1993-11-06,22,Less than 25,Other,0,5,0,0,0,-1,2014-06-20 04:14:19,2014-06-27 01:43:34,14008527CF10A,2014-06-20,,1,F,Grand Theft in the 3rd Degree,1,15004497CF10A,(F3),50,2015-02-15,Grand Theft in the 3rd Degree,2015-04-06,2015-05-20,,0,,,,,Risk of Recidivism,5,Medium,2014-06-21,Risk of Violence,6,Medium,2014-06-21,2014-06-20,2014-06-27,0,6,239,1,1 +5148,dustin bouchard,dustin,bouchard,2014-01-06,Male,1988-07-06,27,25 - 45,Caucasian,0,3,0,0,0,0,2014-01-06 03:52:39,2014-01-06 08:24:55,14000442MU10A,2014-01-06,,0,M,Susp Drivers Lic 1st Offense,1,15029307TC10A,(M2),0,2015-10-20,Susp Drivers Lic 1st Offense,2015-10-20,2015-10-21,,0,,,,,Risk of Recidivism,3,Low,2014-01-06,Risk of Violence,3,Low,2014-01-06,2015-10-20,2015-10-21,0,0,652,1,1 +5149,romell fernand,romell,fernand,2013-10-04,Male,1986-05-27,29,25 - 45,African-American,0,8,0,0,5,0,2013-10-04 03:40:07,2013-10-04 09:24:12,13013965CF10A,2013-10-03,,1,F,Possession of Cannabis,1,15006033MM10A,(M2),0,2015-06-02,Petit Theft,2015-06-02,2015-06-03,,0,,,,,Risk of Recidivism,8,High,2013-10-04,Risk of Violence,7,Medium,2013-10-04,2015-06-02,2015-06-03,5,0,606,1,1 +5150,christopher hamilton,christopher,hamilton,2013-10-21,Male,1977-08-30,38,25 - 45,African-American,0,1,0,0,1,-1,2013-10-20 09:39:34,2013-10-24 09:18:44,13019861MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2013-10-20,2013-10-24,1,3,893,0,0 +5151,donna inman,donna,inman,2013-12-23,Female,1961-08-31,54,Greater than 45,Caucasian,0,2,0,0,2,-3,2013-12-20 01:27:45,2013-12-20 08:11:49,13017519CF10A,,2013-12-19,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-20,2013-12-20,2,0,830,0,0 +5152,edward ragin,edward,ragin,2013-08-11,Male,1990-02-18,26,25 - 45,African-American,0,10,0,0,1,0,2013-08-11 05:05:22,2013-10-07 09:16:33,13011253CF10A,,2013-08-11,0,F,arrest case no charge,1,14000357CF10A,(F3),,2013-10-11,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,10,High,2013-08-11,Risk of Violence,10,High,2013-08-11,2013-08-11,2013-10-07,1,57,61,1,1 +5153,henry randall,henry,randall,2013-11-26,Male,1978-09-27,37,25 - 45,African-American,1,8,8,5,23,-1,2013-11-25 06:28:32,2013-11-27 03:32:19,13016391CF10A,2013-11-25,,1,F,Deliver Cocaine,1,14001771CF10A,(F3),0,2014-02-08,Possession of Cocaine,2014-02-08,2014-02-08,,0,,,,,Risk of Recidivism,8,High,2013-11-26,Risk of Violence,6,Medium,2013-11-26,2014-02-08,2014-02-08,23,1,74,0,1 +5154,marco mcburrows,marco,mcburrows,2013-05-01,Male,1979-08-12,36,25 - 45,African-American,0,10,2,1,25,0,2013-05-01 04:36:25,2013-05-02 04:29:42,13008468MM10A,2013-05-01,,0,M,Battery,1,14009324CF10A,(F2),,2013-12-03,Deliver Cannabis 1000FTSch,,,,0,,,,,Risk of Recidivism,10,High,2013-05-01,Risk of Violence,3,Low,2013-05-01,2013-06-01,2013-06-01,25,1,31,0,1 +5155,brandon lewis,brandon,lewis,2013-03-10,Male,1987-07-29,28,25 - 45,African-American,0,10,0,0,18,-1,2013-03-09 08:14:54,2013-03-21 09:56:34,13003502CF10A,2013-03-09,,1,F,Deliver Cannabis,1,14000814MM30A,(M1),,2014-05-02,Possess Cannabis/20 Grams Or Less,,,,1,14013392MM10A,(M1),2014-07-29,Battery,Risk of Recidivism,10,High,2013-03-10,Risk of Violence,7,Medium,2013-03-10,2013-07-01,2013-07-19,18,11,113,0,1 +5158,silburn edwards,silburn,edwards,2013-03-23,Male,1966-11-18,49,Greater than 45,African-American,0,1,0,0,1,-1,2013-03-22 10:06:06,2013-03-24 09:17:51,12018751MM10A,,2013-03-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-23,Risk of Violence,1,Low,2013-03-23,2013-03-22,2013-03-24,1,1,1105,0,0 +5160,william smith,william,smith,2013-01-15,Male,1979-06-26,36,25 - 45,African-American,0,7,0,0,11,-1,2013-01-14 06:43:21,2013-01-15 03:48:05,13000633CF10A,2013-01-14,,1,F,Driving While License Revoked,1,15008412MM10A,(M1),0,2015-08-09,Credit Card Theft,2015-08-09,2015-08-10,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,3,Low,2013-01-15,2015-08-09,2015-08-10,11,0,936,1,0 +5161,tequina montague,tequina,montague,2014-03-07,Female,1989-10-12,26,25 - 45,African-American,0,9,0,0,2,,,,10002862CF10A,,2012-06-11,634,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-07,Risk of Violence,8,High,2014-03-07,,,2,0,756,0,0 +5162,doreena nicholas,doreena,nicholas,2013-05-10,Female,1974-08-14,41,25 - 45,Caucasian,0,3,0,0,0,-1,2013-05-09 05:59:32,2013-05-10 10:01:12,13006649CF10A,2013-05-09,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-10,Risk of Violence,1,Low,2013-05-10,2013-05-09,2013-05-10,0,0,1057,0,0 +5163,angel morales,angel,morales,2014-01-06,Male,1990-03-25,26,25 - 45,Hispanic,0,7,0,1,9,0,2014-01-06 04:58:26,2014-01-07 02:25:36,14000246CF10A,2014-01-06,,0,F,Battery on Law Enforc Officer,1,15013095MM10A,(M2),,2015-12-19,Disorderly Intoxication,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-06,Risk of Violence,5,Medium,2014-01-06,2014-09-28,2014-10-10,9,1,265,0,1 +5166,richard dpugh,richard,dpugh,2013-11-06,Male,1975-10-04,40,25 - 45,Caucasian,1,9,0,0,9,-1,2013-11-05 03:16:54,2013-11-06 02:05:35,10000805CF10A,,2013-11-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-06,Risk of Violence,6,Medium,2013-11-06,2013-11-05,2013-11-06,9,0,877,0,0 +5167,robert sullivan,robert,sullivan,2013-12-06,Male,1987-02-23,29,25 - 45,Caucasian,0,8,0,1,8,-54,2013-10-13 02:27:45,2013-10-13 01:55:47,13019398MM10A,2013-10-13,,54,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-06,Risk of Violence,4,Low,2013-12-06,2013-10-13,2013-10-13,8,0,847,0,0 +5168,keevin walcott,keevin,walcott,2013-05-01,Male,1994-04-27,21,Less than 25,African-American,1,10,0,0,7,-1,2013-04-30 06:37:17,2013-05-11 02:40:17,13006182CF10A,2013-04-30,,1,F,Fleeing Or Attmp Eluding A Leo,1,14016431CF10A,(F3),28,2014-11-13,Grand Theft in the 3rd Degree,2014-12-11,2015-09-08,,0,,,,,Risk of Recidivism,10,High,2013-05-01,Risk of Violence,10,High,2013-05-01,2014-03-28,2014-05-08,7,10,331,0,1 +5170,junior belice,junior,belice,2013-08-16,Male,1993-07-16,22,Less than 25,Other,0,2,0,0,0,-1,2013-08-15 03:47:55,2013-08-16 10:26:18,13011481CF10A,2013-08-15,,1,F,False Imprisonment,1,14023192TC20A,(M2),163,2014-02-24,Leave Acc/Attend Veh/More $50,2014-08-06,2014-08-07,,0,,,,,Risk of Recidivism,2,Low,2013-08-16,Risk of Violence,4,Low,2013-08-16,2014-08-06,2014-08-07,0,0,192,1,1 +5171,giovani castano,giovani,castano,2013-04-11,Male,1982-05-15,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-10 11:35:35,2013-04-11 07:36:36,13005191CF10A,2013-04-10,,1,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-11,Risk of Violence,1,Low,2013-04-11,2013-12-09,2014-01-10,0,0,242,0,0 +5172,damian nance,damian,nance,2013-11-26,Male,1989-11-21,26,25 - 45,African-American,0,7,0,0,7,-19,2013-11-07 09:49:10,2013-11-26 12:03:33,13015540CF10A,2013-11-07,,19,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-26,Risk of Violence,6,Medium,2013-11-26,2014-07-31,2014-08-01,7,0,247,0,0 +5173,timara wimber,timara,wimber,2014-04-20,Female,1989-01-08,27,25 - 45,African-American,0,3,0,0,0,-1,2014-04-19 06:00:22,2014-04-23 05:27:00,14006567MM10A,2014-04-19,,1,M,Battery,1,16003534TC20A,(M1),,2016-01-08,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,3,Low,2014-04-20,Risk of Violence,3,Low,2014-04-20,2014-04-19,2014-04-23,0,3,628,1,1 +5174,kamal warren,kamal,warren,2013-08-02,Male,1980-05-03,35,25 - 45,African-American,0,2,0,0,1,-1,2013-08-01 10:22:57,2013-08-02 08:24:40,13010758CF10A,2013-08-01,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2013-08-01,2013-08-02,1,0,973,0,0 +5176,stephon roberson,stephon,roberson,2014-03-02,Male,1988-12-01,27,25 - 45,African-American,0,2,0,0,3,-1,2014-03-01 05:05:24,2014-03-02 08:32:37,13013426TC20A,2013-03-02,,365,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-02,Risk of Violence,4,Low,2014-03-02,2014-03-01,2014-03-02,3,0,761,0,0 +5177,felix pache,felix,pache,2013-04-01,Male,1978-08-07,37,25 - 45,Hispanic,0,1,0,0,3,-1,2013-03-31 03:14:01,2013-04-02 10:35:19,13006182MM10A,2013-03-31,,1,M,Battery,1,14067545TC40A,(M2),,2014-09-23,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-03-31,2013-04-02,3,1,540,1,1 +5178,britanya lewis,britanya,lewis,2013-12-02,Female,1984-07-06,31,25 - 45,African-American,0,5,0,0,3,-1,2013-12-01 08:31:46,2014-02-01 04:56:59,11008341CF10A,,2013-12-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-02,Risk of Violence,3,Low,2013-12-02,2014-02-14,2014-02-15,3,61,74,0,0 +5179,juan beltran,juan,beltran,2013-01-11,Male,1979-05-03,36,25 - 45,African-American,1,8,0,0,26,-1,2013-01-10 11:27:45,2013-01-11 09:24:51,13000467CF10A,2013-01-10,,1,F,Poss Cocaine/Intent To Del/Sel,1,13007804CF10A,(M1),1,2013-06-01,Resist/Obstruct W/O Violence,2013-06-02,2013-07-27,,0,,,,,Risk of Recidivism,8,High,2013-01-11,Risk of Violence,4,Low,2013-01-11,2014-08-21,2014-08-24,26,0,141,1,1 +5180,mourica evans,mourica,evans,2013-11-02,Female,1983-11-11,32,25 - 45,Other,0,2,0,0,0,-1,2013-11-01 10:58:38,2013-11-03 12:25:21,13020651MM10A,2013-11-01,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-02,Risk of Violence,2,Low,2013-11-02,2013-11-01,2013-11-03,0,1,881,0,0 +5181,jose jimenez,jose,jimenez,2013-04-01,Male,1965-06-29,50,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-03-31 08:19:14,2013-04-01 05:49:39,13004616CF10A,2013-03-31,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-03-31,2013-04-01,1,0,1096,0,0 +5182,anthony walters,anthony,walters,2013-03-01,Male,1963-11-30,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-02-28 09:15:47,2013-03-01 01:42:15,13002888CF10A,,2013-02-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-02-28,2013-03-01,1,0,1127,0,0 +5183,jonathan russell,jonathan,russell,2013-02-05,Male,1991-07-01,24,Less than 25,African-American,0,4,0,0,1,-1,2013-02-04 03:27:19,2013-02-06 10:01:51,13002559MM10A,2013-02-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-05,Risk of Violence,4,Low,2013-02-05,2013-02-04,2013-02-06,1,1,1151,0,0 +5184,daryll orr,daryll,orr,2013-03-23,Male,1977-12-24,38,25 - 45,African-American,0,4,0,0,0,0,2013-03-23 03:28:13,2013-03-24 06:34:49,13004205CF10A,2013-03-22,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-23,Risk of Violence,3,Low,2013-03-23,2015-03-18,2015-03-24,0,1,725,0,0 +5186,azell moreland,azell,moreland,2013-03-28,Male,1961-07-12,54,Greater than 45,African-American,0,8,0,0,11,-1,2013-03-27 05:20:57,2013-03-28 07:45:04,11018142CF10A,,2013-03-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-28,Risk of Violence,3,Low,2013-03-28,2013-03-27,2013-03-28,11,0,1100,0,0 +5187,james hines,james,hines,2013-08-18,Male,1944-05-11,71,Greater than 45,Caucasian,0,2,0,0,13,-1,2013-08-17 11:16:45,2013-08-18 02:28:59,13011540CF10A,2013-08-17,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-18,Risk of Violence,1,Low,2013-08-18,2013-08-17,2013-08-18,13,0,957,0,0 +5188,tyrone johnson,tyrone,johnson,2014-10-15,Male,1989-03-15,27,25 - 45,African-American,0,7,4,4,9,-1,2014-10-14 04:18:35,2014-10-15 03:50:49,14013855CF10A,2014-10-14,,1,F,Poss Pyrrolidinovalerophenone W/I/D/S,1,14016534CF10A,(F3),0,2014-12-13,Poss Pyrrolidinovalerophenone,2014-12-13,2014-12-20,,0,,,,,Risk of Recidivism,7,Medium,2014-10-15,Risk of Violence,3,Low,2014-10-15,2014-12-13,2014-12-20,9,0,59,1,1 +5189,tara ketola,tara,ketola,2013-09-09,Female,1977-03-14,39,25 - 45,Caucasian,0,4,0,0,1,-1,2013-09-08 04:59:45,2013-10-17 09:28:05,13012681CF10A,2013-09-07,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-09-08,2013-10-17,1,38,935,0,0 +5190,hasani boothe,hasani,boothe,2013-03-02,Male,1981-12-22,34,25 - 45,Other,0,2,0,0,1,0,2013-03-02 12:55:11,2013-03-02 07:32:20,13009188TC10A,2013-03-01,,1,M,Driving License Suspended,1,13036235TC10A,(M2),0,2013-08-23,Driving License Suspended,2013-08-23,2013-08-24,,0,,,,,Risk of Recidivism,2,Low,2013-03-02,Risk of Violence,2,Low,2013-03-02,2013-08-23,2013-08-24,1,0,174,1,1 +5191,makenlie jean,makenlie,jean,2014-02-25,Male,1993-01-27,23,Less than 25,Other,0,8,0,0,0,-1,2014-02-24 12:37:02,2014-03-01 05:04:27,14003205MM10A,2014-02-24,,1,M,Battery,1,14000963MM20A,(M1),49,2014-03-20,Possess Cannabis/20 Grams Or Less,2014-05-08,2014-05-15,,0,,,,,Risk of Recidivism,8,High,2014-02-25,Risk of Violence,5,Medium,2014-02-25,2014-02-24,2014-03-01,0,4,23,1,1 +5192,elliot little,elliot,little,2013-10-08,Male,1970-02-12,46,Greater than 45,African-American,1,4,0,0,8,261,2014-06-26 11:35:53,2014-06-27 08:34:38,13019113MM10A,2013-10-08,,0,M,Battery,1,14008799CF10A,(F1),1,2014-06-25,Poss/Sel/Del Cocaine 1000FT Chur,2014-06-26,2014-06-27,,0,,,,,Risk of Recidivism,4,Low,2013-10-08,Risk of Violence,5,Medium,2013-10-08,2014-06-26,2014-06-27,8,0,260,1,1 +5193,dorean nairn,dorean,nairn,2013-01-01,Female,1979-11-15,36,25 - 45,African-American,0,6,0,0,5,0,2013-01-01 05:49:29,2013-01-02 01:39:04,13000031CF10A,2013-01-01,,0,F,Battery on Law Enforc Officer,1,13005201MM10A,(M1),0,2013-03-16,Battery,2013-03-16,2013-03-16,,1,13005201MM10A,(M1),2013-03-16,Battery,Risk of Recidivism,6,Medium,2013-01-01,Risk of Violence,4,Low,2013-01-01,2013-03-16,2013-03-16,5,1,74,0,1 +5194,gregory dennis,gregory,dennis,2013-12-16,Male,1960-08-06,55,Greater than 45,African-American,0,1,0,0,0,-1,2013-12-15 07:09:08,2013-12-16 01:30:18,13017327CF10A,2013-12-15,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0 +5196,orranda uragavidal,orranda,uragavidal,2013-03-15,Male,1982-09-03,33,25 - 45,Hispanic,0,4,0,0,1,,,,11012836CF10A,,2012-02-09,400,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-15,Risk of Violence,3,Low,2013-03-15,,,1,0,1113,0,0 +5197,fredrick hill,fredrick,hill,2013-05-13,Male,1970-06-18,45,Greater than 45,African-American,0,3,0,0,0,,,,,,,,M,,1,14003266MO10A,(MO3),0,2014-02-25,Trespass,2014-02-25,2014-02-26,,1,15013090CF10A,(F1),2015-10-09,Robbery / Weapon,Risk of Recidivism,3,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2014-02-25,2014-02-26,0,0,288,1,1 +5198,kyle thompson,kyle,thompson,2013-10-30,Male,1989-02-10,27,25 - 45,Caucasian,0,4,0,0,0,0,2013-10-30 05:18:21,2013-11-08 04:56:54,13015142CF10A,2013-10-30,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-30,Risk of Violence,3,Low,2013-10-30,2013-10-30,2013-11-08,0,9,884,0,0 +5201,windley noralus,windley,noralus,2013-08-30,Male,1992-06-16,23,Less than 25,African-American,0,4,0,3,2,0,2013-08-30 02:22:56,2013-08-30 07:59:57,13012301CF10A,2013-08-30,,0,F,Carrying Concealed Firearm,1,14090929TC30A,(M2),,2014-10-05,Reckless Driving,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-30,Risk of Violence,4,Low,2013-08-30,2013-08-30,2013-08-30,2,0,401,1,1 +5203,lerome smith,lerome,smith,2013-12-17,Male,1996-02-13,20,Less than 25,African-American,1,7,0,0,1,-1,2013-12-16 12:57:43,2013-12-17 09:57:58,13016368CF10A,,2013-12-16,1,F,arrest case no charge,1,14014573CF10A,(F3),,2014-10-28,Cash Item w/Intent to Defraud,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-17,Risk of Violence,7,Medium,2013-12-17,2014-01-21,2014-06-14,1,0,35,0,1 +5204,latoria adams,latoria,adams,2014-02-10,Female,1984-12-16,31,25 - 45,African-American,0,8,2,0,10,-3,2014-02-07 03:57:04,2014-02-08 09:36:26,14001761CF10A,2014-02-07,,3,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-10,Risk of Violence,4,Low,2014-02-10,2015-06-18,2015-06-24,10,0,493,0,0 +5205,roy roberts,roy,roberts,2013-04-07,Male,1991-08-15,24,Less than 25,Caucasian,0,9,0,0,8,0,2013-04-07 03:41:57,2013-05-14 05:41:37,10013335CF10B,,2013-04-07,0,F,arrest case no charge,1,15063411TC40A,(M2),,2015-10-26,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-04-07,Risk of Violence,9,High,2013-04-07,2013-04-07,2013-05-14,8,37,932,1,0 +5207,tracy bondanza,tracy,bondanza,2014-12-13,Female,1979-01-29,37,25 - 45,Caucasian,0,8,0,0,2,-1,2014-12-12 05:58:16,2014-12-13 08:22:34,14016515CF10A,2014-12-12,,1,F,Tampering With Physical Evidence,1,15019908TC30A,(M2),,2015-03-06,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,8,High,2014-12-13,Risk of Violence,2,Low,2014-12-13,2014-12-12,2014-12-13,2,0,83,1,1 +5208,george birkley,george,birkley,2013-08-29,Male,1990-11-23,25,25 - 45,African-American,0,6,0,0,0,-41,2013-07-19 04:09:36,2013-08-22 03:25:19,13039660TC10A,2013-08-27,,2,M,Operating W/O Valid License,1,14032270TC20A,(M2),,2014-04-26,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-29,Risk of Violence,7,Medium,2013-08-29,2013-07-19,2013-08-22,0,0,240,1,1 +5209,gary kuchta,gary,kuchta,2013-04-05,Male,1989-04-23,26,25 - 45,Caucasian,0,3,0,0,0,-1,2013-04-04 10:35:20,2013-04-05 01:26:38,13004840CF10A,2013-04-04,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-05,Risk of Violence,3,Low,2013-04-05,2013-04-04,2013-04-05,0,0,1092,0,0 +5211,frank aguiar,frank,aguiar,2013-05-07,Male,1987-02-17,29,25 - 45,Hispanic,0,3,0,0,0,,,,13006397CF10A,2013-05-04,,3,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-07,Risk of Violence,2,Low,2013-05-07,,,0,0,1060,0,0 +5213,christopher batista,christopher,batista,2013-04-10,Male,1982-12-06,33,25 - 45,Hispanic,0,2,0,0,3,-51,2013-02-18 10:14:21,2013-02-19 09:12:09,10035723TC10A,2010-07-20,,995,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,2,Low,2013-04-10,2013-02-18,2013-02-19,3,0,1087,0,0 +5215,andrew renshaw,andrew,renshaw,2013-04-15,Male,1986-12-18,29,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-14 09:00:15,2013-04-15 08:50:37,13005379CF10A,2013-04-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-15,Risk of Violence,3,Low,2013-04-15,2013-04-14,2013-04-15,0,0,1082,0,0 +5216,arrow jones,arrow,jones,2013-12-15,Male,1974-08-30,41,25 - 45,African-American,0,1,0,0,4,0,2013-12-15 12:55:21,2013-12-15 01:51:37,13023189MM10A,2013-12-15,,0,M,Battery,1,15026796TC30A,(M2),,2015-03-31,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-15,2013-12-15,4,0,471,1,1 +5217,maurice jones,maurice,jones,2014-01-04,Male,1978-12-04,37,25 - 45,African-American,0,1,0,0,0,-1,2014-01-03 09:10:13,2014-01-04 01:42:06,14000133CF10A,2014-01-03,,1,F,Felony Battery (Dom Strang),1,15005809MM10A,(M1),0,2015-05-27,Battery,2015-05-27,2015-05-28,,1,15005809MM10A,(M1),2015-05-27,Battery,Risk of Recidivism,1,Low,2014-01-04,Risk of Violence,1,Low,2014-01-04,2015-05-27,2015-05-28,0,0,508,1,1 +5218,troy brunetto,troy,brunetto,2013-02-05,Male,1969-06-30,46,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-02-04 07:51:30,2013-02-05 01:17:07,13001745CF10A,2013-02-04,,1,F,Solicit To Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2014-02-19,2014-03-02,2,0,379,0,0 +5219,lori porzio,lori,porzio,2013-01-31,Female,1959-11-15,56,Greater than 45,Caucasian,0,5,0,0,10,-1,2013-01-30 08:19:13,2013-03-12 09:04:50,13001487CF10A,2013-01-30,,1,F,Possession of Cocaine,1,13005404CF10A,(M2),0,2013-04-15,Prowling/Loitering,2013-04-15,2013-04-18,,0,,,,,Risk of Recidivism,5,Medium,2013-01-31,Risk of Violence,4,Low,2013-01-31,2013-04-15,2013-04-18,10,40,74,1,1 +5222,shane russell,shane,russell,2013-05-16,Male,1993-02-19,23,Less than 25,African-American,0,3,0,0,0,-1,2013-05-15 04:59:47,2013-05-16 02:18:13,13006956CF10A,2013-05-15,,1,F,Grand Theft in the 3rd Degree,1,14031972TC10A,(M2),0,2014-09-04,Susp Drivers Lic 1st Offense,2014-09-04,2014-09-05,,0,,,,,Risk of Recidivism,3,Low,2013-05-16,Risk of Violence,5,Medium,2013-05-16,2014-02-25,2014-03-03,0,0,285,0,1 +5223,dieucica jeudy,dieucica,jeudy,2014-10-20,Female,1993-03-06,23,Less than 25,African-American,0,5,0,0,1,-2,2014-10-18 07:18:19,2014-10-20 01:22:03,14014067CF10A,2014-10-18,,2,F,Poss Pyrrolidinovalerophenone,1,15001673MM10A,(M1),0,2015-02-10,Resist/Obstruct W/O Violence,2015-02-10,2015-02-15,,0,,,,,Risk of Recidivism,5,Medium,2014-10-20,Risk of Violence,5,Medium,2014-10-20,2015-02-10,2015-02-15,1,0,113,1,1 +5224,wilkinson francois,wilkinson,francois,2013-02-02,Male,1991-03-31,25,25 - 45,African-American,0,8,0,0,0,0,2013-02-02 12:47:26,2013-02-02 07:48:05,13001665CF10A,2013-02-01,,1,F,Poss/Sell/Del Cocaine 1000FT Sch,1,13009705CF10A,(F1),,2013-06-26,Poss of Cocaine W/I/D/S 1000FT Park,,,,0,,,,,Risk of Recidivism,8,High,2013-02-02,Risk of Violence,6,Medium,2013-02-02,2014-09-25,2020-01-01,0,0,144,1,1 +5225,xavier taylor,xavier,taylor,2014-09-06,Male,1992-01-06,24,Less than 25,African-American,0,7,0,0,1,-1,2014-09-05 05:36:44,2014-09-06 09:48:48,14012113CF10A,2014-09-05,,1,F,Poss Cocaine/Intent To Del/Sel,1,15023328TC30A,(M2),,2015-03-21,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2014-09-06,Risk of Violence,6,Medium,2014-09-06,2015-11-05,2015-11-06,1,0,196,1,1 +5226,delvin williams,delvin,williams,2013-12-31,Male,1980-05-19,35,25 - 45,African-American,0,10,0,0,27,-103,2013-09-19 02:37:27,2013-09-20 07:48:53,13017992CF10A,2013-12-30,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-31,Risk of Violence,6,Medium,2013-12-31,2013-09-19,2013-09-20,27,0,822,0,0 +5227,darrell thomas,darrell,thomas,2013-01-15,Male,1968-02-10,48,Greater than 45,African-American,0,8,0,0,10,,,,12008776CF10A,2012-06-14,,215,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-15,Risk of Violence,6,Medium,2013-01-15,1992-06-10,1999-05-08,10,0,1172,0,0 +5231,joao jussim,joao,jussim,2013-04-02,Male,1989-10-11,26,25 - 45,Hispanic,0,2,0,0,1,-24,2013-03-09 06:53:52,2013-03-10 01:36:45,13004759MM10A,2013-03-09,,24,M,DUI Level 0.15 Or Minor In Veh,1,14045445TC20A,(M2),,2014-06-21,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-02,Risk of Violence,3,Low,2013-04-02,2013-03-09,2013-03-10,1,0,445,1,1 +5232,kevin peatman,kevin,peatman,2013-03-23,Male,1992-03-21,24,Less than 25,Caucasian,0,7,0,0,2,-1,2013-03-22 08:49:07,2013-04-01 08:57:07,13004187CF10A,2013-03-22,,1,F,Burglary Conveyance Unoccup,1,13014286CF10A,(F3),0,2013-10-12,Grand Theft in the 3rd Degree,2013-10-12,2014-02-07,,0,,,,,Risk of Recidivism,7,Medium,2013-03-23,Risk of Violence,5,Medium,2013-03-23,2013-10-12,2014-02-07,2,9,203,1,1 +5236,ewexta dove,ewexta,dove,2013-02-28,Male,1990-12-14,25,25 - 45,African-American,0,10,1,1,8,,,,09007328CF10A,,2013-02-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-28,Risk of Violence,8,High,2013-02-28,2009-09-08,2011-04-14,8,0,1128,0,0 +5243,deangelo perpall,deangelo,perpall,2013-02-13,Male,1993-04-02,23,Less than 25,African-American,0,9,0,0,0,-1,2013-02-12 04:51:57,2013-02-27 01:07:06,13002183CF10A,2013-02-12,,1,F,Burglary Unoccupied Dwelling,1,13004993MM10A,(M2),0,2013-03-13,Prowling/Loitering,2013-03-13,2013-03-14,,1,13016774MM10A,(M1),2013-09-02,Battery,Risk of Recidivism,9,High,2013-02-13,Risk of Violence,6,Medium,2013-02-13,2013-03-13,2013-03-14,0,14,28,1,1 +5244,teresa bennett,teresa,bennett,2013-03-13,Male,1972-05-01,43,25 - 45,Caucasian,0,1,0,0,2,-26,2013-02-15 04:05:37,2013-02-16 05:59:32,13002346CF10A,2013-02-15,,26,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,2013-02-15,2013-02-16,2,0,1115,0,0 +5246,stacey wiederin,stacey,wiederin,2013-09-13,Female,1963-04-02,53,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-09-11 08:14:19,2013-09-12 06:57:04,13017313MM10A,2013-09-11,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-13,Risk of Violence,1,Low,2013-09-13,2013-09-11,2013-09-12,0,0,931,0,0 +5247,eric ramsey,eric,ramsey,2013-12-03,Male,1992-03-10,24,Less than 25,African-American,0,6,0,0,1,-1,2013-12-02 06:22:00,2014-01-29 03:18:00,13016692CF10A,2013-12-02,,1,F,Pos Methylenedioxymethcath W/I/D/S,1,14004767MM40A,(M2),,2014-11-14,Petit Theft,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-03,Risk of Violence,5,Medium,2013-12-03,2013-12-02,2014-01-29,1,57,346,1,1 +5248,lagary roberson,lagary,roberson,2013-11-26,Male,1990-08-10,25,25 - 45,African-American,1,9,0,0,4,,,,13019968MM10A,2013-08-19,,99,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-26,Risk of Violence,7,Medium,2013-11-26,,,4,0,857,0,0 +5249,devin dorvil,devin,dorvil,2013-03-13,Male,1987-06-19,28,25 - 45,African-American,0,4,0,0,0,0,2013-03-13 02:29:55,2013-03-13 08:19:55,13003681CF10A,2013-03-12,,1,F,Offn Against Intellectual Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-13,Risk of Violence,5,Medium,2013-03-13,2013-03-13,2013-03-13,0,0,1115,0,0 +5251,ryan benitez,ryan,benitez,2013-04-18,Male,1994-09-13,21,Less than 25,Caucasian,0,3,0,0,1,-1,2013-04-17 03:21:05,2013-04-18 07:22:12,13005515CF10A,2013-04-17,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-18,Risk of Violence,5,Medium,2013-04-18,2013-04-17,2013-04-18,1,0,1079,0,0 +5252,andre foulks,andre,foulks,2013-12-10,Male,1984-10-17,31,25 - 45,Other,0,2,0,0,0,-1,2013-12-09 07:40:01,2013-12-18 09:34:07,13022792MM10A,2013-12-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-10,Risk of Violence,2,Low,2013-12-10,2013-12-09,2013-12-18,0,8,843,0,0 +5253,brian rocha,brian,rocha,2014-11-04,Male,1983-04-13,33,25 - 45,Caucasian,0,7,0,0,3,0,2014-11-04 02:32:16,2014-11-05 04:10:46,14014820CF10A,2014-11-03,,1,F,"Poss Of 1,4-Butanediol",1,15001342CF10A,(F3),0,2015-01-29,Possession Of Methamphetamine,2015-01-29,2015-04-10,,0,,,,,Risk of Recidivism,7,Medium,2014-11-04,Risk of Violence,4,Low,2014-11-04,2015-01-29,2015-04-10,3,1,86,1,1 +5255,soyeka williams,soyeka,williams,2014-03-11,Female,1980-11-01,35,25 - 45,African-American,0,1,0,0,1,-1,2014-03-10 07:27:18,2014-03-11 12:57:04,14002986CF10A,,2014-03-10,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2014-03-10,2014-03-11,1,0,752,0,0 +5258,randy huffman,randy,huffman,2013-04-06,Male,1960-05-12,55,Greater than 45,Caucasian,0,3,0,0,3,0,2013-04-06 02:24:02,2013-04-07 06:31:22,13006629MM10A,2013-04-05,,1,M,Viol Injunction Protect Dom Vi,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-06,Risk of Violence,1,Low,2013-04-06,2013-04-06,2013-04-07,3,1,1091,0,0 +5259,ricardo quintanilla,ricardo,quintanilla,2013-11-18,Male,1965-05-13,50,Greater than 45,Hispanic,0,5,0,0,9,-1,2013-11-17 10:51:58,2013-12-16 08:46:39,13021625MM10A,2013-11-17,,1,M,Battery,1,15000945CF10A,(F3),0,2015-01-21,Possession of Cocaine,2015-01-21,2015-01-22,,0,,,,,Risk of Recidivism,5,Medium,2013-11-18,Risk of Violence,6,Medium,2013-11-18,2014-03-29,2014-04-08,9,28,131,0,1 +5260,bach ketant,bach,ketant,2013-07-10,Male,1988-01-04,28,25 - 45,African-American,0,3,0,0,0,-2,2013-07-08 04:09:27,2013-07-09 01:46:35,13012968MM10A,2013-07-08,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-10,Risk of Violence,3,Low,2013-07-10,2013-07-08,2013-07-09,0,0,996,0,0 +5261,alexander gorshechnikov,alexander,gorshechnikov,2014-01-25,Male,1971-10-04,44,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-24 05:19:29,2014-01-26 09:50:54,14001384MM10A,2014-01-24,,1,M,Battery,1,16000036MM10A,(M1),0,2016-01-01,Battery,2016-01-01,2016-01-02,,1,16000036MM10A,(M1),2016-01-01,Battery,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2016-01-01,2016-01-02,0,1,706,1,1 +5262,grace margri,grace,margri,2013-10-01,Female,1967-07-08,48,Greater than 45,Caucasian,0,1,0,0,2,-66,2013-07-27 12:28:26,2013-08-29 08:31:34,13010505CF10A,2013-07-26,,67,F,Abuse Without Great Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-07-27,2013-08-29,2,0,913,0,0 +5263,dionte alexander,dionte,alexander,2014-04-21,Male,1996-06-09,19,Less than 25,African-American,2,10,1,1,3,22,2014-05-13 10:23:42,2014-05-14 06:00:41,14005970CF10A,2014-03-29,,23,F,Carrying Concealed Firearm,1,14014121CF10A,(F3),,2014-10-19,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,10,High,2014-04-21,Risk of Violence,10,High,2014-04-21,2014-05-13,2014-05-14,3,0,22,0,1 +5264,kirk myrie,kirk,myrie,2013-01-15,Male,1992-06-01,23,Less than 25,Other,0,7,0,0,2,-1,2013-01-14 07:27:31,2013-02-28 08:04:57,13000877MM10A,2013-01-14,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,9,High,2013-01-15,2013-06-17,2013-06-18,2,44,153,0,0 +5265,brandon moxie,brandon,moxie,2013-12-29,Male,1991-12-20,24,Less than 25,African-American,0,8,0,1,3,0,2013-12-29 12:19:56,2013-12-29 02:11:16,13017896CF10A,2013-12-28,,1,F,Poss F/Arm Delinq,1,14014058CF10A,(F3),0,2014-10-18,Possession Of Methamphetamine,2014-10-18,2014-12-20,,0,,,,,Risk of Recidivism,8,High,2013-12-29,Risk of Violence,7,Medium,2013-12-29,2014-10-18,2014-12-20,3,0,293,1,1 +5266,george bennington,george,bennington,2013-02-09,Male,1966-02-06,50,Greater than 45,Caucasian,0,3,0,0,2,0,2013-02-09 02:34:06,2013-02-10 02:41:17,13002026CF10A,2013-02-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2015-06-02,2015-06-02,2,1,843,0,0 +5270,mohan nihal,mohan,nihal,2013-04-26,Male,1984-11-18,31,25 - 45,African-American,0,4,0,0,0,0,2013-04-26 12:08:59,2013-05-18 07:59:34,13008009MM10A,2013-04-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-26,Risk of Violence,3,Low,2013-04-26,2013-04-26,2013-05-18,0,22,1071,0,0 +5271,bas bruck,bas,bruck,2014-10-16,Female,1987-06-24,28,25 - 45,Caucasian,0,4,0,0,0,-1,2014-10-15 11:09:53,2014-10-16 02:16:03,14013910CF10A,2014-10-15,,1,F,Possession of Cocaine,1,15013273MM10A,(M1),,2015-12-25,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,4,Low,2014-10-16,Risk of Violence,3,Low,2014-10-16,2015-04-06,2015-04-08,0,0,172,0,1 +5272,jaime bedoya,jaime,bedoya,2013-11-20,Male,1973-09-15,42,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-19 08:34:22,2013-11-20 09:27:32,13016071CF10A,2013-11-19,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-11-19,2013-11-20,0,0,863,0,0 +5274,miguel campbell,miguel,campbell,2014-02-26,Male,1994-06-11,21,Less than 25,African-American,0,9,0,0,0,0,2014-02-26 01:14:13,2014-06-03 09:11:34,14002710CF10A,2014-02-25,,1,M,Aggravated Assault W/Dead Weap,1,15003740CF10A,(F3),101,2014-12-08,Grand Theft in the 3rd Degree,2015-03-19,2015-03-20,,0,,,,,Risk of Recidivism,9,High,2014-02-26,Risk of Violence,6,Medium,2014-02-26,2014-02-26,2014-06-03,0,97,285,1,1 +5275,xavier larkins,xavier,larkins,2014-03-18,Male,1986-11-09,29,25 - 45,African-American,0,10,0,0,5,,,,11001435CF10A,,2012-06-13,643,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-03-18,Risk of Violence,9,High,2014-03-18,2008-10-16,2010-02-23,5,0,745,0,0 +5276,michael bowers,michael,bowers,2013-01-19,Male,1968-03-30,48,Greater than 45,Caucasian,0,1,0,0,1,,,,11015127CF10A,2011-09-10,,497,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-19,Risk of Violence,1,Low,2013-01-19,,,1,0,1168,0,0 +5278,ryan kuse,ryan,kuse,2013-09-14,Male,1994-06-24,21,Less than 25,Caucasian,0,8,0,0,0,0,2013-09-14 01:55:11,2013-09-14 07:27:48,13012973CF10A,2013-09-13,,1,F,"Poss3,4 Methylenedioxymethcath",1,13015973CF10A,(M2),0,2013-11-17,Reckless Driving,2013-11-17,2013-11-18,,0,,,,,Risk of Recidivism,8,High,2013-09-14,Risk of Violence,5,Medium,2013-09-14,2013-11-17,2013-11-18,0,0,64,1,1 +5279,jean felinor,jean,felinor,2013-02-28,Male,1992-02-26,24,Less than 25,Other,0,4,0,0,0,-1,2013-02-27 04:58:37,2013-02-28 07:58:48,13004086MM10A,2013-02-27,,1,M,Possess Drug Paraphernalia,1,13013113CF10A,(M1),0,2013-09-17,Possess Drug Paraphernalia,2013-09-17,2013-09-18,,0,,,,,Risk of Recidivism,4,Low,2013-02-28,Risk of Violence,4,Low,2013-02-28,2013-07-06,2013-07-07,0,0,128,0,1 +5280,michael castro,michael,castro,2013-02-15,Male,1985-03-29,31,25 - 45,Caucasian,0,5,0,0,3,-1,2013-02-14 10:35:20,2013-02-16 01:33:06,13002302CF10A,2013-02-14,,1,F,Tamper With Victim,1,13012193CF10A,(F3),,2013-06-30,False Verif Ownership Pawn Shp,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-15,Risk of Violence,3,Low,2013-02-15,2013-02-14,2013-02-16,3,1,135,1,1 +5281,juan reinoso amaya,juan,reinoso amaya,2013-01-07,Male,1993-02-21,23,Less than 25,Hispanic,0,3,0,0,0,0,2013-01-07 07:51:24,2013-01-09 09:11:54,13000390MM10A,2013-01-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-07,Risk of Violence,5,Medium,2013-01-07,2013-01-07,2013-01-09,0,2,1180,0,0 +5282,teobaldo vergara,teobaldo,vergara,2013-11-27,Male,1988-10-18,27,25 - 45,Caucasian,0,9,0,0,0,0,2013-11-27 02:31:15,2013-11-27 07:48:41,13016516CF10A,2013-11-27,,0,F,Driving While License Revoked,1,14010141CF10A,(F3),,2014-07-03,Driving While License Revoked,,,,0,,,,,Risk of Recidivism,9,High,2013-11-27,Risk of Violence,8,High,2013-11-27,2013-11-27,2013-11-27,0,0,218,1,1 +5287,kaeron holness,kaeron,holness,2013-12-09,Male,1983-10-11,32,25 - 45,Other,0,2,0,0,0,0,2013-12-09 03:22:12,2013-12-09 09:18:54,13017027CF10A,2013-12-09,,0,M,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-09,Risk of Violence,2,Low,2013-12-09,2013-12-09,2013-12-09,0,0,844,0,0 +5288,george malden,george,malden,2013-07-17,Male,1940-05-04,75,Greater than 45,Caucasian,0,4,0,0,1,-35,2013-06-12 04:11:46,2013-07-12 11:59:24,13008324CF10A,2013-06-11,,36,F,Poss/Sell/Deliver Clonazepam,1,15005753CF10A,(F3),1,2015-05-01,Possession Of Alprazolam,2015-05-02,2015-05-02,,0,,,,,Risk of Recidivism,4,Low,2013-07-17,Risk of Violence,1,Low,2013-07-17,2015-05-21,2015-06-12,1,0,653,1,1 +5289,fernand aldridge,fernand,aldridge,2013-03-22,Male,1987-08-16,28,25 - 45,African-American,0,5,0,0,7,-1,2013-03-21 08:49:25,2013-06-07 05:49:03,12002905CF10A,,2013-03-22,0,F,arrest case no charge,1,14004656CF10A,(F2),0,2014-04-03,Poss Cocaine/Intent To Del/Sel,2014-04-03,2014-08-26,,0,,,,,Risk of Recidivism,5,Medium,2013-03-22,Risk of Violence,3,Low,2013-03-22,2014-04-03,2014-08-26,7,77,377,1,1 +5290,david church,david,church,2013-04-29,Male,1949-03-21,67,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-28 05:37:37,2013-04-29 06:49:40,13008158MM10A,2013-04-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-28,2013-04-29,0,0,1068,0,0 +5293,sandy francois,sandy,francois,2013-12-18,Female,1983-09-18,32,25 - 45,African-American,0,7,0,0,11,0,2013-12-18 02:14:29,2013-12-18 08:08:44,13017465CF10A,2013-12-18,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-18,Risk of Violence,4,Low,2013-12-18,2013-12-18,2013-12-18,11,0,835,0,0 +5294,rodney alvarez,rodney,alvarez,2013-11-06,Male,1971-10-20,44,25 - 45,African-American,0,4,0,0,7,0,2013-11-06 01:43:25,2013-11-07 09:49:04,13015495CF10A,,2013-11-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-06,Risk of Violence,3,Low,2013-11-06,2015-07-21,2015-07-25,7,1,622,0,0 +5295,darryl lewis,darryl,lewis,2013-03-20,Male,1990-08-16,25,25 - 45,African-American,0,4,0,0,1,-24,2013-02-24 08:54:45,2013-02-25 01:56:29,13002817CF10A,,2013-02-24,24,F,arrest case no charge,1,13014875CF10A,(F3),,2013-05-01,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-20,Risk of Violence,5,Medium,2013-03-20,2014-09-23,2020-01-01,1,0,42,1,1 +5297,shawanda perry,shawanda,perry,2013-09-26,Female,1985-06-16,30,25 - 45,African-American,0,8,0,0,15,0,2013-09-26 01:16:52,2013-09-27 03:11:40,13018341MM10A,2013-09-25,,1,M,Battery,1,14045341TC10A,(M2),0,2014-12-21,Operating W/O Valid License,2014-12-21,2014-12-21,,0,,,,,Risk of Recidivism,8,High,2013-09-26,Risk of Violence,4,Low,2013-09-26,2014-12-21,2014-12-21,15,1,451,0,1 +5298,dominic rayoni,dominic,rayoni,2013-10-13,Male,1988-03-15,28,25 - 45,Caucasian,0,4,1,0,9,-1,2013-10-12 10:09:36,2013-10-13 07:27:48,13019343MM10A,2013-10-12,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-13,Risk of Violence,3,Low,2013-10-13,2014-01-22,2014-01-27,9,0,101,0,0 +5301,joevel williams,joevel,williams,2013-11-22,Male,1988-09-13,27,25 - 45,African-American,0,6,0,0,0,0,2013-11-22 04:41:34,2013-11-25 09:55:59,13016271CF10A,,2013-11-22,0,F,arrest case no charge,1,13023008MM10A,(M1),0,2013-12-12,Possess Drug Paraphernalia,2013-12-12,2013-12-12,,0,,,,,Risk of Recidivism,6,Medium,2013-11-22,Risk of Violence,6,Medium,2013-11-22,2013-12-12,2013-12-12,0,3,20,0,1 +5307,andrew henderson,andrew,henderson,2014-03-05,Male,1979-12-29,36,25 - 45,African-American,0,4,0,0,4,-215,2013-08-02 03:33:55,2013-08-02 01:47:55,13010932CF10A,2013-08-02,,215,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-05,Risk of Violence,2,Low,2014-03-05,2013-08-02,2013-08-02,4,0,758,0,0 +5308,andre alfred,andre,alfred,2013-01-20,Male,1980-02-13,36,25 - 45,Other,0,2,0,0,8,-1,2013-01-19 05:26:09,2013-01-21 02:10:52,12005397MO10A,,2013-01-19,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-20,Risk of Violence,2,Low,2013-01-20,2013-11-04,2013-11-04,8,1,288,0,0 +5309,kristen waun,kristen,waun,2013-05-22,Female,1990-04-30,25,25 - 45,Caucasian,0,4,0,0,0,0,2013-05-22 01:26:39,2013-05-24 08:30:15,13009879MM10A,2013-05-21,,1,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,4,Low,2013-05-22,2013-05-22,2013-05-24,0,2,1045,0,0 +5312,jonpaul pruett,jonpaul,pruett,2014-01-20,Male,1985-04-12,31,25 - 45,Caucasian,0,5,0,0,5,-1,2014-01-19 06:50:46,2014-01-20 08:58:22,14000831CF10A,2014-01-19,,1,F,Driving While License Revoked,1,14004736CF10A,(M2),0,2014-04-06,Lve/Scen/Acc/Veh/Prop/Damage,2014-04-06,2014-04-08,,0,,,,,Risk of Recidivism,5,Medium,2014-01-20,Risk of Violence,2,Low,2014-01-20,2014-04-06,2014-04-08,5,0,76,1,1 +5313,paul hawkins,paul,hawkins,2013-12-13,Male,1985-12-11,30,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-13 02:27:35,2013-12-13 08:22:57,13023147MM10A,2013-12-13,,0,M,DUI Property Damage/Injury,1,14009831TC10A,(M2),,2014-01-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-13,Risk of Violence,2,Low,2013-12-13,2013-12-13,2013-12-13,0,0,24,1,1 +5314,damian francis,damian,francis,2013-10-22,Male,1983-01-03,33,25 - 45,African-American,0,2,0,0,4,-9,2013-10-13 10:41:40,2013-10-21 09:18:54,12014902CF10A,,2013-10-13,9,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-22,Risk of Violence,2,Low,2013-10-22,2013-10-13,2013-10-21,4,0,892,0,0 +5315,fernando martinez-salas,fernando,martinez-salas,2013-10-15,Male,1977-05-30,38,25 - 45,Hispanic,0,1,0,0,0,0,2013-10-15 03:11:18,2013-10-15 07:48:38,13019552MM10A,2013-10-15,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-15,Risk of Violence,1,Low,2013-10-15,2013-10-15,2013-10-15,0,0,899,0,0 +5316,paul mcpherson,paul,mcpherson,2013-03-06,Male,1990-02-06,26,25 - 45,African-American,0,3,0,0,1,0,2013-03-06 03:03:03,2013-03-06 06:33:05,13009959TC10A,2013-03-06,,0,M,Driving License Suspended,1,14019338TC40A,(M2),,2014-03-20,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-06,Risk of Violence,3,Low,2013-03-06,2013-03-06,2013-03-06,1,0,379,1,1 +5318,napoleon savinon,napoleon,savinon,2013-04-03,Male,1963-09-15,52,Greater than 45,Hispanic,0,3,0,0,5,-1,2013-04-02 10:32:57,2013-04-09 07:06:41,13004740CF10A,2013-04-02,,1,F,Aggrav Battery w/Deadly Weapon,1,14009027CF10A,(F5),,2014-06-15,Sex Battery Deft 18+/Vict 11-,,,,1,14009027CF10A,(F5),2014-06-15,Sex Battery Deft 18+/Vict 11-,Risk of Recidivism,3,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2013-04-02,2013-04-09,5,6,438,1,1 +5321,brittany ferry,brittany,ferry,2014-11-20,Female,1993-10-01,22,Less than 25,Caucasian,0,7,0,0,2,-1,2014-11-19 03:54:37,2014-11-21 09:26:42,14015585CF10A,2014-11-19,,1,M,Grand Theft in the 3rd Degree,1,15002660MM40A,(M1),116,2015-07-07,Possess Cannabis/20 Grams Or Less,2015-10-31,2015-11-01,,0,,,,,Risk of Recidivism,7,Medium,2014-11-20,Risk of Violence,6,Medium,2014-11-20,2015-02-08,2015-03-13,2,1,80,0,1 +5322,jesus almeida-garcia,jesus,almeida-garcia,2014-02-25,Male,1965-08-06,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-24 09:23:08,2014-02-25 09:04:38,14002630CF10A,2014-02-24,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-24,2014-02-25,0,0,766,0,0 +5323,darron kelly,darron,kelly,2013-05-14,Male,1978-09-28,37,25 - 45,African-American,0,1,0,0,4,135,2013-09-26 08:48:26,2013-09-27 08:33:20,13013096CF10A,2013-05-13,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-09-26,2013-09-27,4,0,135,0,0 +5324,rodney mcfadden,rodney,mcfadden,2014-01-01,Male,1957-05-11,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-31 06:12:18,2014-01-01 01:31:02,14000027CF10A,2013-12-31,,1,F,Aggravated Assault W/Dead Weap,1,15010373MM10A,(M1),0,2015-10-02,Battery,2015-10-02,2015-10-02,,1,15010373MM10A,(M1),2015-10-02,Battery,Risk of Recidivism,1,Low,2014-01-01,Risk of Violence,1,Low,2014-01-01,2015-10-02,2015-10-02,1,0,639,0,1 +5326,robert dresch,robert,dresch,2013-03-08,Male,1981-11-05,34,25 - 45,Caucasian,0,4,0,0,3,-1,2013-03-07 08:25:27,2013-03-08 08:30:06,13004638MM10A,2013-03-07,,1,M,Battery,1,13008094CF10A,(M1),0,2013-06-07,Resist/Obstruct W/O Violence,2013-06-07,2013-11-19,,0,,,,,Risk of Recidivism,4,Low,2013-03-08,Risk of Violence,3,Low,2013-03-08,2013-06-07,2013-11-19,3,0,91,1,1 +5327,bond springer,bond,springer,2014-01-18,Male,1983-06-13,32,25 - 45,Caucasian,0,1,0,0,1,0,2014-01-18 04:24:43,2014-01-18 09:56:18,14000796CF10A,2014-01-18,,0,F,Pos Cannabis W/Intent Sel/Del,1,14007078CF10A,(F2),0,2014-05-21,Poss Firearm Commission Felony,2014-05-21,2014-06-15,,0,,,,,Risk of Recidivism,1,Low,2014-01-18,Risk of Violence,1,Low,2014-01-18,2014-05-21,2014-06-15,1,0,123,1,1 +5330,bobby graham,bobby,graham,2014-03-07,Male,1986-06-19,29,25 - 45,African-American,0,1,0,0,0,-1,2014-03-06 12:36:28,2014-03-08 03:37:51,14008978MU10A,2014-03-06,,1,M,DUI Property Damage/Injury,1,15016556TC10A,(M2),,2015-05-27,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-07,Risk of Violence,2,Low,2014-03-07,2014-03-06,2014-03-08,0,1,446,1,1 +5331,jonathan fanfan,jonathan,fanfan,2013-09-08,Male,1988-08-15,27,25 - 45,African-American,0,1,0,0,0,0,2013-09-08 04:52:18,2013-09-09 01:35:06,13017089MM10A,2013-09-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-08,Risk of Violence,2,Low,2013-09-08,2013-09-08,2013-09-09,0,1,936,0,0 +5332,jason brantman,jason,brantman,2013-08-19,Male,1977-02-11,39,25 - 45,Caucasian,0,3,0,0,5,-21,2013-07-29 05:42:49,2013-08-17 01:21:33,13010611CF10A,2013-07-29,,21,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-19,Risk of Violence,2,Low,2013-08-19,2013-07-29,2013-08-17,5,0,956,0,0 +5333,michael times,michael,times,2013-12-30,Male,1991-06-25,24,Less than 25,African-American,0,3,0,0,0,-1,2013-12-29 05:48:49,2013-12-30 08:21:33,13017934CF10A,2013-12-29,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-30,Risk of Violence,4,Low,2013-12-30,2015-06-22,2015-06-29,0,0,539,0,0 +5334,tarik carter,tarik,carter,2013-02-03,Male,1977-08-14,38,25 - 45,African-American,1,7,0,0,8,-1,2013-02-02 12:18:07,2013-02-04 03:00:05,13002405MM10A,2013-02-01,,2,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-03,Risk of Violence,6,Medium,2013-02-03,2013-02-02,2013-02-04,8,1,1153,0,0 +5335,robert moran,robert,moran,2013-12-02,Male,1963-08-29,52,Greater than 45,Caucasian,0,2,0,0,7,-23,2013-11-09 12:08:27,2013-11-10 07:41:16,13015625CF10A,2013-11-09,,23,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-11-09,2013-11-10,7,0,851,0,0 +5337,leroy ponder,leroy,ponder,2013-10-31,Male,1959-08-25,56,Greater than 45,African-American,0,2,0,0,3,-27,2013-10-04 04:22:50,2013-10-05 07:07:20,13018911MM10A,2013-10-04,,27,M,Battery,1,14011900MM10A,(M2),,2014-07-28,Drinking Alch Beverage In Open,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-31,Risk of Violence,1,Low,2013-10-31,2015-02-23,2015-02-27,3,0,270,1,1 +5339,joseph churchill,joseph,churchill,2013-01-17,Male,1969-11-18,46,Greater than 45,Caucasian,0,6,0,0,7,0,2013-01-17 05:29:02,2013-02-22 08:22:33,13000810CF10A,2013-01-17,,0,F,Grand Theft (Motor Vehicle),1,14010603CF10A,(F3),758,2013-12-24,Grand Theft in the 3rd Degree,2016-01-21,2016-04-14,,0,,,,,Risk of Recidivism,6,Medium,2013-01-17,Risk of Violence,7,Medium,2013-01-17,2013-01-17,2013-02-22,7,36,341,1,1 +5341,christopher maynard,christopher,maynard,2013-12-06,Male,1977-08-09,38,25 - 45,Caucasian,0,1,0,0,5,-11,2013-11-25 08:29:57,2013-11-28 12:12:28,14000306CF10A,2013-11-25,,11,F,Attempted Robbery Weapon,1,14002497TC10A,(M2),0,2014-01-21,Reckless Driving,2014-01-21,2014-03-06,,0,,,,,Risk of Recidivism,1,Low,2013-12-06,Risk of Violence,2,Low,2013-12-06,2014-01-21,2014-03-06,5,0,46,1,1 +5342,willie molina,willie,molina,2013-04-15,Male,1969-03-03,47,Greater than 45,Caucasian,0,5,0,0,3,0,2013-04-15 06:04:22,2013-06-17 08:28:27,13007294MM10A,2013-04-15,,0,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-04-15,2013-06-17,3,63,1082,0,0 +5344,geoffrey wasserman,geoffrey,wasserman,2013-04-16,Male,1984-03-11,32,25 - 45,Caucasian,0,1,0,0,0,-7,2013-04-09 03:37:17,2013-04-10 02:15:00,13005106CF10A,2013-04-09,,7,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-16,Risk of Violence,2,Low,2013-04-16,2013-04-09,2013-04-10,0,0,1081,0,0 +5346,antonio walker,antonio,walker,2013-04-06,Male,1981-12-01,34,25 - 45,African-American,0,7,1,0,27,-1,2013-04-05 10:45:22,2013-04-06 07:30:25,13006587MM10A,2013-04-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-06,Risk of Violence,3,Low,2013-04-06,2013-04-05,2013-04-06,27,0,1091,0,0 +5347,kenneth jones,kenneth,jones,2013-11-26,Male,1973-11-01,42,25 - 45,African-American,0,6,0,0,5,-1,2013-11-25 03:04:52,2013-11-28 02:16:07,14000353CF10A,2013-11-25,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-26,Risk of Violence,6,Medium,2013-11-26,2014-10-02,2014-11-26,5,2,310,0,0 +5348,jamye brown,jamye,brown,2014-06-07,Female,1980-07-19,35,25 - 45,African-American,0,1,0,0,0,-1,2014-06-06 02:25:27,2014-06-08 03:52:19,14007876CF10A,2014-06-06,,1,M,Battery on a Person Over 65,1,15015854CF10A,(F3),,2015-12-11,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,1,Low,2014-06-07,Risk of Violence,1,Low,2014-06-07,2014-06-06,2014-06-08,0,1,552,1,1 +5349,daniel crescenti,daniel,crescenti,2014-03-07,Male,1995-08-03,20,Less than 25,Caucasian,0,10,0,0,0,-1,2014-03-06 09:33:29,2014-03-13 05:24:33,14003179CF10A,2014-03-06,,1,F,Grand Theft in the 3rd Degree,1,15000536MM10A,(M2),1,2015-01-14,Unlaw LicTag/Sticker Attach,2015-01-15,2015-02-03,,0,,,,,Risk of Recidivism,10,High,2014-03-07,Risk of Violence,10,High,2014-03-07,2014-03-06,2014-03-13,0,6,313,1,1 +5350,christina sargent,christina,sargent,2014-12-04,Female,1983-12-24,32,25 - 45,Caucasian,0,10,0,0,2,-1,2014-12-03 12:14:32,2015-01-05 08:35:16,14016074CF10A,2014-12-03,,1,F,Possession of Cocaine,1,15016546CF10A,(F3),,2015-12-28,,,,,0,,,,,Risk of Recidivism,10,High,2014-12-04,Risk of Violence,4,Low,2014-12-04,2015-01-28,2015-01-30,2,32,55,0,1 +5351,colter thompson,colter,thompson,2013-04-09,Male,1994-07-15,21,Less than 25,Caucasian,0,5,0,1,0,-1,2013-04-08 11:48:28,2013-04-09 02:03:42,13006759MM10A,2013-04-08,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-09,Risk of Violence,7,Medium,2013-04-09,2013-04-08,2013-04-09,0,0,1088,0,0 +5352,tavaris mills,tavaris,mills,2014-07-03,Male,1991-09-06,24,Less than 25,African-American,0,2,0,0,0,0,2014-07-03 02:46:00,2014-07-04 04:52:45,14024676MU10A,2014-07-03,,0,M,Driving Under The Influence,1,15062660TC20A,(M2),,2015-11-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-07-03,Risk of Violence,3,Low,2014-07-03,2014-07-03,2014-07-04,0,1,494,1,1 +5354,nicholas vedder,nicholas,vedder,2013-03-21,Male,1991-08-18,24,Less than 25,African-American,0,9,0,0,1,-1,2013-03-20 07:27:26,2013-07-22 06:50:00,13005489MM10A,2013-03-20,,1,M,Prowling/Loitering,1,13004690CF10A,(F3),,2013-03-28,Aggrav Stalking After Injunctn,,,,0,,,,,Risk of Recidivism,9,High,2013-03-21,Risk of Violence,9,High,2013-03-21,2013-03-20,2013-07-22,1,0,7,1,1 +5355,ernest bower,ernest,bower,2013-06-11,Male,1960-10-25,55,Greater than 45,Hispanic,0,1,0,0,2,-32,2013-05-10 11:19:49,2013-06-07 10:53:02,13006730CF10A,2013-05-10,,32,F,Traffick Oxycodone 4g><14g,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-11,Risk of Violence,1,Low,2013-06-11,2013-05-10,2013-06-07,2,0,1025,0,0 +5358,roody therlonge,roody,therlonge,2013-09-13,Male,1989-11-12,26,25 - 45,African-American,0,3,0,0,0,-1,2013-09-12 09:24:10,2013-09-13 08:09:50,13017414MM10A,2013-09-12,,1,M,Possess Cannabis/20 Grams Or Less,1,14013966CF10A,(F3),0,2014-10-16,Possession of Cannabis,2014-10-16,2014-10-17,,0,,,,,Risk of Recidivism,3,Low,2013-09-13,Risk of Violence,4,Low,2013-09-13,2013-12-17,2013-12-21,0,0,95,0,1 +5360,bruce spillane,bruce,spillane,2013-09-07,Male,1963-11-26,52,Greater than 45,Caucasian,0,2,0,0,8,0,2013-09-07 01:01:02,2013-10-16 09:20:34,12015996CF10A,,2013-09-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-07,2013-10-16,8,39,937,0,0 +5363,machell howell,machell,howell,2013-08-10,Male,1988-11-21,27,25 - 45,African-American,0,2,0,0,1,-1,2013-08-09 03:34:53,2013-08-11 09:11:25,13015068MM10A,2013-08-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-10,Risk of Violence,4,Low,2013-08-10,2013-08-09,2013-08-11,1,1,965,0,0 +5364,lisette artze,lisette,artze,2013-12-28,Female,1988-09-23,27,25 - 45,Caucasian,0,5,0,0,0,0,2013-12-28 11:18:59,2013-12-29 06:17:42,13023916MM10A,2013-12-28,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-28,Risk of Violence,3,Low,2013-12-28,2013-12-28,2013-12-29,0,1,825,0,0 +5365,sergi shokov,sergi,shokov,2014-03-04,Male,1959-09-01,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-03 04:19:53,2014-03-04 09:05:49,14003010CF10A,2014-03-03,,1,F,Retail Theft $300 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-04,Risk of Violence,1,Low,2014-03-04,2014-03-03,2014-03-04,0,0,759,0,0 +5366,douglas farmer,douglas,farmer,2014-10-16,Male,1964-02-04,52,Greater than 45,Caucasian,0,9,0,0,16,-4,2014-10-12 01:30:43,2014-10-23 03:05:46,14013739CF10A,2014-10-11,,5,F,Possession of Hydrocodone,1,14015738MM10A,(M1),0,2014-10-30,Trespass Other Struct/Conve,2014-10-30,2014-11-25,,0,,,,,Risk of Recidivism,9,High,2014-10-16,Risk of Violence,4,Low,2014-10-16,2014-10-30,2014-11-25,16,7,14,1,1 +5367,linton cooper,linton,cooper,2013-02-22,Male,1979-01-03,37,25 - 45,African-American,0,1,0,0,3,-1,2013-02-21 06:34:56,2013-02-22 07:24:44,13003703MM10A,2013-02-21,,1,F,Aiding Escape,1,14002631CF10A,(F3),0,2014-02-24,False Ownership Info/Pawn Item,2014-02-24,2014-02-25,,0,,,,,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2014-02-24,2014-02-25,3,0,367,1,1 +5369,sem joseph,sem,joseph,2013-07-11,Male,1970-12-09,45,Greater than 45,African-American,0,1,0,0,0,-6,2013-07-05 06:13:45,2013-07-05 08:09:49,13050561TC40A,2013-07-05,,6,M,Interfere W/Traf Cont Dev RR,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-11,Risk of Violence,1,Low,2013-07-11,2013-07-05,2013-07-05,0,0,995,0,0 +5370,sibthorpe latourclarke,sibthorpe,latourclarke,2013-11-20,Male,1992-06-04,23,Less than 25,African-American,0,2,0,0,1,-39,2013-10-12 01:23:28,2013-11-20 10:30:07,13019326MM10A,2013-10-12,,39,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-20,Risk of Violence,4,Low,2013-11-20,2015-02-18,2015-03-11,1,0,455,0,0 +5371,monica hillerbalcazar,monica,hillerbalcazar,2014-02-11,Female,1979-12-28,36,25 - 45,Caucasian,0,6,0,0,3,-27,2014-01-15 10:03:50,2014-02-11 10:54:01,13006207CF10A,,2014-01-15,27,F,arrest case no charge,1,15007141CF10A,(F3),0,2015-06-01,Resist Officer w/Violence,2015-06-01,2015-07-14,,0,,,,,Risk of Recidivism,6,Medium,2014-02-11,Risk of Violence,7,Medium,2014-02-11,2015-01-04,2015-03-03,3,0,327,0,1 +5372,quita griffith,quita,griffith,2013-12-16,Female,1986-12-17,29,25 - 45,African-American,0,2,0,0,0,-3,2013-12-13 11:10:42,2013-12-14 01:25:05,13017266CF10A,2013-12-13,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,2,Low,2013-12-16,2013-12-13,2013-12-14,0,0,837,0,0 +5373,brayan colon,brayan,colon,2013-02-19,Male,1994-12-26,21,Less than 25,Hispanic,0,3,0,0,0,-5,2013-02-14 06:57:35,2013-02-15 04:33:41,13002305CF10A,,2013-02-14,5,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,6,Medium,2013-02-19,2013-11-18,2013-11-21,0,0,272,0,0 +5374,anil somwaru,anil,somwaru,2014-01-13,Male,1995-07-04,20,Less than 25,Other,0,2,2,1,3,-1,2014-01-12 07:51:51,2014-01-13 08:30:08,14000598MM10A,2014-01-12,,1,M,Battery,1,14012805TC10A,(M2),0,2014-03-22,Unlaw LicTag/Sticker Attach,2014-03-22,2014-03-23,,0,,,,,Risk of Recidivism,2,Low,2014-01-13,Risk of Violence,4,Low,2014-01-13,2014-03-22,2014-03-23,3,0,68,1,1 +5377,tilford baynham,tilford,baynham,2013-08-28,Male,1946-06-24,69,Greater than 45,African-American,0,6,0,0,3,,,,09005522CF10A,,2012-10-17,315,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-28,Risk of Violence,1,Low,2013-08-28,,,3,0,947,0,0 +5379,xavier melton,xavier,melton,2013-08-26,Male,1989-02-08,27,25 - 45,African-American,0,8,1,0,11,-1,2013-08-25 08:21:11,2013-08-30 04:19:35,13011974CF10A,2013-08-25,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-26,Risk of Violence,6,Medium,2013-08-26,2014-01-24,2014-01-26,11,4,151,0,0 +5380,tarod thomas,tarod,thomas,2013-04-06,Male,1987-10-03,28,25 - 45,African-American,1,8,0,1,11,0,2013-04-06 01:38:57,2013-04-06 08:09:18,13004908CF10A,2013-04-05,,1,F,Possession of Cocaine,1,14008870CF10A,(M1),0,2014-06-27,Resist/Obstruct W/O Violence,2014-06-27,2014-06-28,,0,,,,,Risk of Recidivism,8,High,2013-04-06,Risk of Violence,6,Medium,2013-04-06,2014-06-27,2014-06-28,11,0,447,1,1 +5381,gairy palmer,gairy,palmer,2013-03-31,Male,1977-12-28,38,25 - 45,African-American,0,1,0,0,4,-1,2013-03-30 10:14:17,2013-03-31 06:37:54,13013466TC10A,2013-03-30,,1,M,Susp Drivers Lic 1st Offense,1,15021670TC40A,(M2),,2015-04-09,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-03-30,2013-03-31,4,0,739,1,0 +5382,fernand elizee,fernand,elizee,2013-02-20,Male,1986-01-06,30,25 - 45,Other,0,1,0,0,0,-1,2013-02-19 07:44:17,2013-02-20 06:33:35,13002516CF10A,2013-02-19,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,2,Low,2013-02-20,2013-02-19,2013-02-20,0,0,1136,0,0 +5383,nicholaus macklin,nicholaus,macklin,2014-08-06,Female,1996-05-09,19,Less than 25,African-American,0,9,0,0,1,-1,2014-08-05 07:05:17,2015-10-13 07:10:00,14010672CF10A,2014-08-05,,1,F,Burglary Unoccupied Dwelling,1,14011444CF10A,(F2),,2014-08-21,Dealing in Stolen Property,,,,1,14011444CF10A,(F1),2014-08-21,Robbery W/Firearm,Risk of Recidivism,9,High,2014-08-06,Risk of Violence,7,Medium,2014-08-06,2014-08-05,2015-10-13,1,0,15,1,1 +5386,michelle hunter,michelle,hunter,2013-09-12,Female,1978-08-20,37,25 - 45,Caucasian,0,1,0,0,1,-1,2013-09-11 07:49:15,2013-09-12 08:10:44,13012854CF10A,2013-09-11,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-12,1,0,932,0,0 +5387,shanna kettle,shanna,kettle,2013-03-31,Male,1981-09-26,34,25 - 45,African-American,0,1,0,0,0,-1,2013-03-30 06:53:38,2013-04-01 12:45:32,13006130MM10A,2013-03-30,,1,M,Battery,1,13014886MM10A,(M1),,2013-06-06,Battery,,,,1,13014886MM10A,(M1),2013-06-06,Battery,Risk of Recidivism,1,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-03-30,2013-04-01,0,1,67,1,1 +5388,eric loy,eric,loy,2014-11-25,Male,1978-11-27,37,25 - 45,Caucasian,0,8,0,0,7,-1,2014-11-24 11:24:25,2015-02-02 11:03:50,14015816CF10A,2014-11-24,,1,F,Felony Petit Theft,1,15008475CF10A,(F3),,2015-03-17,False Ownership Info/Pawn Item,,,,0,,,,,Risk of Recidivism,8,High,2014-11-25,Risk of Violence,6,Medium,2014-11-25,2014-11-24,2015-02-02,7,69,112,1,1 +5389,romario hayden,romario,hayden,2013-09-21,Male,1994-11-23,21,Less than 25,African-American,0,8,0,1,1,-1,2013-09-20 07:24:36,2013-09-21 08:53:45,13013282CF10A,2013-09-20,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-21,Risk of Violence,7,Medium,2013-09-21,2015-11-10,2015-11-17,1,0,780,0,0 +5390,yvon gaspard,yvon,gaspard,2013-02-18,Male,1994-12-17,21,Less than 25,African-American,0,9,0,0,0,-1,2013-02-17 11:03:40,2013-02-24 12:17:17,13002436CF10A,2013-02-17,,1,F,Robbery / No Weapon,1,13020003MM10A,(M1),0,2013-10-22,Trespass Other Struct/Conve,2013-10-22,2013-12-17,,0,,,,,Risk of Recidivism,9,High,2013-02-18,Risk of Violence,8,High,2013-02-18,2013-10-22,2013-12-17,0,6,246,1,1 +5391,alison hadler,alison,hadler,2013-12-31,Female,1978-03-14,38,25 - 45,Caucasian,0,4,0,0,3,-1,2013-12-30 09:55:02,2013-12-31 07:52:56,13016091CF10A,,2013-12-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-31,Risk of Violence,2,Low,2013-12-31,2015-10-07,2015-11-09,3,0,645,0,0 +5392,kenneth rolle,kenneth,rolle,2014-02-27,Male,1968-06-08,47,Greater than 45,African-American,0,4,0,0,1,0,2014-02-27 02:05:42,2014-02-28 10:09:28,14003442MM10A,2014-02-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-27,Risk of Violence,5,Medium,2014-02-27,2014-02-27,2014-02-28,1,1,764,0,0 +5394,christopher smith,christopher,smith,2013-03-10,Male,1960-01-21,56,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-03-09 06:43:22,2013-09-16 12:03:42,13003483CF10A,2013-03-09,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-10,Risk of Violence,2,Low,2013-03-10,2013-03-09,2013-09-16,3,190,1118,0,0 +5395,lavon thompson,lavon,thompson,2013-10-29,Male,1989-04-05,27,25 - 45,African-American,0,7,0,0,2,-1,2013-10-28 03:58:03,2014-07-01 06:15:45,13015044CF10A,2013-10-28,,1,F,Tamper With Witness/Victim/CI,1,15023013TC10A,(M2),1,2015-08-09,Expired DL More Than 6 Months,2015-08-10,2015-08-21,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,7,Medium,2013-10-29,2014-09-18,2014-09-29,2,580,324,0,1 +5398,charles collins,charles,collins,2013-02-23,Male,1992-10-29,23,Less than 25,African-American,0,8,0,0,0,-1,2013-02-22 05:25:17,2013-02-23 08:37:38,13003747MM10A,2013-02-22,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-23,Risk of Violence,8,High,2013-02-23,2014-10-16,2014-11-15,0,0,600,0,0 +5399,thomas raby,thomas,raby,2013-07-18,Male,1958-08-02,57,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-07-16 09:13:15,2013-07-18 11:14:39,13009971CF10A,2013-07-16,,2,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-18,Risk of Violence,1,Low,2013-07-18,2013-07-16,2013-07-18,0,0,988,0,0 +5400,bryan jackson,bryan,jackson,2014-01-30,Male,1990-12-03,25,25 - 45,African-American,0,7,1,0,9,-17,2014-01-13 12:56:03,2014-01-26 01:00:56,14001025CF10A,,2014-01-24,6,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-30,Risk of Violence,4,Low,2014-01-30,2014-01-13,2014-01-26,9,0,792,0,0 +5402,neyesha brunson,neyesha,brunson,2013-02-14,Female,1992-05-18,23,Less than 25,African-American,0,10,0,0,2,16,2013-03-02 04:43:32,2013-06-26 08:30:17,13001252CF10A,2013-01-25,,20,F,Battery on Law Enforc Officer,1,13009492CF10A,(F3),0,2013-07-07,Felony Battery w/Prior Convict,2013-07-07,2013-10-12,,1,13009492CF10A,(F3),2013-07-07,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2013-02-14,Risk of Violence,9,High,2013-02-14,2013-03-02,2013-06-26,2,0,16,0,1 +5403,sergio walls,sergio,walls,2014-11-14,Male,1983-05-29,32,25 - 45,African-American,0,10,0,0,8,0,2014-11-14 01:26:43,2014-11-16 02:59:24,14015307CF10A,,2014-11-13,1,F,arrest case no charge,1,15000362MM10A,(M2),0,2015-01-10,Disorderly Conduct,2015-01-10,2015-01-11,,0,,,,,Risk of Recidivism,10,High,2014-11-14,Risk of Violence,5,Medium,2014-11-14,2015-01-10,2015-01-11,8,2,57,1,1 +5404,keisha jones,keisha,jones,2013-10-18,Female,1979-12-31,36,25 - 45,African-American,0,5,0,0,2,-2,2013-10-16 05:52:30,2013-10-17 05:04:11,13019626MM10A,2013-10-16,,2,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-18,Risk of Violence,3,Low,2013-10-18,2013-10-16,2013-10-17,2,0,896,0,0 +5405,corey kendrick,corey,kendrick,2014-02-07,Male,1975-02-27,41,25 - 45,African-American,0,5,0,0,5,-1,2014-02-06 05:13:21,2014-02-07 01:43:46,11033444TC20A,2011-05-08,,1006,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-07,Risk of Violence,6,Medium,2014-02-07,2014-02-06,2014-02-07,5,0,784,0,0 +5406,victor guevaramolina,victor,guevaramolina,2013-05-08,Male,1984-11-23,31,25 - 45,Hispanic,0,3,0,0,2,-69,2013-02-28 07:13:35,2013-04-19 01:11:35,13003030CF10A,2013-02-28,,69,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-08,Risk of Violence,2,Low,2013-05-08,2013-02-28,2013-04-19,2,0,1059,0,0 +5410,marta lopes,marta,lopes,2013-05-24,Female,1977-01-04,39,25 - 45,Other,0,1,0,0,0,-1,2013-05-23 08:14:20,2013-05-24 11:46:12,13007634CF10A,2013-05-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-24,Risk of Violence,1,Low,2013-05-24,2013-05-23,2013-05-24,0,0,1043,0,0 +5411,claude jones,claude,jones,2013-08-29,Male,1994-09-21,21,Less than 25,African-American,0,6,0,0,1,-1,2013-08-28 11:29:05,2013-08-30 01:35:02,13012170CF10A,,2013-08-28,1,F,arrest case no charge,1,14053639TC40A,(M2),,2014-05-10,Leave Acc/Attend Veh/More $50,,,,1,15012388CF10A,(F2),2015-09-24,Robbery / No Weapon,Risk of Recidivism,6,Medium,2013-08-29,Risk of Violence,6,Medium,2013-08-29,2013-11-05,2013-11-15,1,1,68,0,1 +5412,thomas brooks,thomas,brooks,2014-09-12,Male,1973-04-03,43,25 - 45,Caucasian,0,4,0,0,8,35,2014-10-17 07:16:59,2014-12-18 07:08:44,13009390CF10A,2013-07-04,,435,F,Attempted Robbery No Weapon,1,14014011CF10A,(F3),0,2014-10-17,Possession of Cocaine,2014-10-17,2014-12-18,,0,,,,,Risk of Recidivism,4,Low,2014-09-12,Risk of Violence,6,Medium,2014-09-12,2014-10-17,2014-12-18,8,0,35,1,1 +5416,jimmy toussaint,jimmy,toussaint,2013-04-29,Male,1984-05-21,31,25 - 45,African-American,0,4,0,0,2,-1,2013-04-28 02:35:06,2013-04-30 03:26:44,13018188TC10A,2013-04-28,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-29,Risk of Violence,6,Medium,2013-04-29,2014-04-20,2014-04-21,2,1,356,0,0 +5417,brian walters,brian,walters,2013-02-04,Male,1978-07-11,37,25 - 45,Caucasian,0,1,0,0,0,-2,2013-02-02 09:07:40,2013-02-03 08:50:00,13002400MM10A,2013-02-02,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,2,Low,2013-02-04,2013-02-02,2013-02-03,0,0,1152,0,0 +5418,henry noel,henry,noel,2013-02-07,Male,1988-08-05,27,25 - 45,African-American,0,2,0,0,0,-1,2013-02-06 10:17:43,2013-02-08 06:25:22,13001858CF10A,2013-02-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-07,Risk of Violence,4,Low,2013-02-07,2013-02-06,2013-02-08,0,1,1149,0,0 +5420,christopher ford,christopher,ford,2014-06-24,Male,1993-09-09,22,Less than 25,African-American,0,4,0,0,2,-22,2014-06-02 03:27:27,2014-06-18 03:29:12,14007616CF10A,2014-06-01,,23,F,Possession Of Alprazolam,1,16006376TC40A,(M2),,2015-12-26,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2014-06-24,Risk of Violence,4,Low,2014-06-24,2014-06-02,2014-06-18,2,0,550,1,1 +5423,barry dambra,barry,dambra,2013-11-22,Male,1956-08-16,59,Greater than 45,Caucasian,0,1,0,0,2,-19,2013-11-03 10:51:50,2013-11-22 06:16:52,13015326CF10A,2013-11-03,,19,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-22,Risk of Violence,1,Low,2013-11-22,2013-11-03,2013-11-22,2,0,861,0,0 +5425,jessica rhoat,jessica,rhoat,2014-12-13,Female,1982-06-28,33,25 - 45,African-American,0,9,0,0,0,-1,2014-12-12 02:02:59,2015-01-10 09:56:53,14016513CF10A,2014-12-12,,1,F,Possession of Cocaine,1,15012222CF10A,(F3),0,2015-09-21,Possession of Cocaine,2015-09-21,2015-10-29,,0,,,,,Risk of Recidivism,9,High,2014-12-13,Risk of Violence,7,Medium,2014-12-13,2015-08-03,2015-08-12,0,28,233,0,1 +5426,james haynes,james,haynes,2013-12-17,Male,1976-09-20,39,25 - 45,Caucasian,0,10,0,0,21,-216,2013-05-15 09:02:56,2013-11-25 11:29:51,13006931CF10A,2013-05-15,,216,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-17,Risk of Violence,10,High,2013-12-17,2015-07-23,2015-10-12,21,0,583,0,0 +5427,erricka gordon,erricka,gordon,2013-05-17,Female,1972-11-30,43,25 - 45,African-American,0,3,0,0,2,-1,2013-05-16 06:12:00,2013-05-18 08:14:28,13006987CF10A,2013-05-16,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-17,Risk of Violence,1,Low,2013-05-17,2013-11-06,2013-11-21,2,1,173,0,0 +5428,nicholas register,nicholas,register,2014-03-23,Male,1991-02-09,25,25 - 45,Caucasian,0,4,0,0,5,-1,2014-03-22 12:13:37,2014-07-02 09:22:39,14004077CF10A,2014-03-22,,1,F,Resist Officer w/Violence,1,14017255MM10A,(M2),0,2014-12-08,DWLS Child Support 1st Offense,2014-12-08,2015-03-05,,0,,,,,Risk of Recidivism,4,Low,2014-03-23,Risk of Violence,5,Medium,2014-03-23,2014-09-04,2014-09-17,5,101,165,0,1 +5429,tony durden,tony,durden,2014-11-12,Male,1979-12-29,36,25 - 45,African-American,3,10,0,2,19,90,2015-02-10 02:15:52,2015-05-04 12:10:00,14007076MO10A,,2014-06-06,159,M,arrest case no charge,1,15001889CF10A,(F3),1,2015-02-09,Poss Pyrrolidinovalerophenone,2015-02-10,2015-05-04,,0,,,,,Risk of Recidivism,10,High,2014-11-12,Risk of Violence,6,Medium,2014-11-12,2015-02-10,2015-05-04,19,0,89,1,1 +5430,alshunard griffin,alshunard,griffin,2014-02-13,Male,1992-06-22,23,Less than 25,African-American,0,5,0,0,3,-1,2014-02-12 12:02:54,2014-02-16 08:21:19,14001999CF10A,2014-02-12,,1,F,Burglary Unoccupied Dwelling,1,14002044MM20A,(M1),,2014-06-29,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-13,Risk of Violence,5,Medium,2014-02-13,2014-02-12,2014-02-16,3,3,136,1,1 +5431,heather fleischer,heather,fleischer,2013-07-30,Female,1973-01-19,43,25 - 45,Caucasian,0,2,0,0,3,9,2013-08-08 06:27:18,2013-08-09 06:29:52,13013799MM10A,2013-07-20,,10,M,Viol Injunct Domestic Violence,1,13015001MM10A,(M1),0,2013-08-08,Viol Injunct Domestic Violence,2013-08-08,2013-08-09,,1,13016744MM10A,(M1),2013-09-01,Battery,Risk of Recidivism,2,Low,2013-07-30,Risk of Violence,1,Low,2013-07-30,2013-08-08,2013-08-09,3,0,9,1,1 +5432,jeffrey conley,jeffrey,conley,2014-11-17,Male,1959-06-30,56,Greater than 45,Caucasian,0,1,0,0,9,-24,2014-10-24 11:21:51,2014-11-13 05:30:00,14015466MM10A,2014-10-24,,24,M,Battery,1,15002748CF10A,(M1),0,2015-02-28,Unlaw Use False Name/Identity,2015-02-28,2015-04-21,,0,,,,,Risk of Recidivism,1,Low,2014-11-17,Risk of Violence,1,Low,2014-11-17,2015-02-28,2015-04-21,9,0,103,1,1 +5433,quatrona franklin,quatrona,franklin,2014-10-03,Female,1996-02-17,20,Less than 25,African-American,0,8,0,0,1,-1,2014-10-02 09:50:54,2014-10-06 09:27:41,14013293CF10A,2014-10-02,,1,F,Felony Petit Theft,1,15002990MM40A,(M2),,2015-08-02,Petit Theft,,,,0,,,,,Risk of Recidivism,8,High,2014-10-03,Risk of Violence,6,Medium,2014-10-03,2014-10-02,2014-10-06,1,3,303,1,1 +5434,keith brown,keith,brown,2013-03-05,Male,1966-03-30,50,Greater than 45,African-American,0,5,0,0,2,-28,2013-02-05 05:29:49,2013-02-06 01:46:06,13014304NI20A,2013-02-27,,6,M,Ride Tri-Rail Without Paying,1,15000294MM40A,(M1),,2014-12-19,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-05,Risk of Violence,1,Low,2013-03-05,2013-06-26,2013-07-02,2,0,113,0,1 +5435,ralph guelce,ralph,guelce,2014-12-22,Male,1991-12-17,24,Less than 25,Other,0,8,0,0,2,-49,2014-11-03 11:38:37,2014-11-06 09:18:29,14002485MM10A,,2014-11-03,49,M,arrest case no charge,1,15059856TC20A,(M1),,2015-10-08,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,8,High,2014-12-22,Risk of Violence,4,Low,2014-12-22,2014-11-03,2014-11-06,2,0,290,1,1 +5436,monique young,monique,young,2013-05-02,Female,1961-07-13,54,Greater than 45,Caucasian,0,2,0,0,1,-4,2013-04-28 04:26:40,2013-05-01 06:20:52,13008165MM10A,2013-04-28,,4,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-02,Risk of Violence,1,Low,2013-05-02,2013-04-28,2013-05-01,1,0,1065,0,0 +5438,austin henry,austin,henry,2014-06-24,Male,1995-10-15,20,Less than 25,African-American,0,10,0,0,1,-1,2014-06-23 03:15:48,2014-06-25 02:40:05,14008642CF10A,2014-06-23,,1,F,Grand Theft (Motor Vehicle),1,14016630MM10A,(M1),0,2014-11-21,Resist/Obstruct W/O Violence,2014-11-21,2014-12-07,,0,,,,,Risk of Recidivism,10,High,2014-06-24,Risk of Violence,8,High,2014-06-24,2014-09-22,2014-10-15,1,1,90,0,1 +5439,richenel metayer,richenel,metayer,2013-11-05,Male,1980-04-07,36,25 - 45,Other,0,4,0,0,3,-1,2013-11-04 12:26:37,2013-12-20 09:17:28,13020836MM10A,2013-11-04,,1,M,Viol Injunct Domestic Violence,1,14009088MM10A,(M1),0,2014-06-08,Viol Prot Injunc Repeat Viol,2014-06-08,2015-02-20,,1,14008782CF10A,(F3),2014-06-08,Felony Battery w/Prior Convict,Risk of Recidivism,4,Low,2013-11-05,Risk of Violence,3,Low,2013-11-05,2014-06-08,2015-02-20,3,45,215,1,1 +5440,latonya howard,latonya,howard,2014-11-10,Female,1979-04-20,36,25 - 45,African-American,0,6,0,0,3,0,2014-11-10 03:13:06,2014-11-10 07:25:36,14015105CF10A,2014-11-09,,1,F,Poss Pyrrolidinovalerophenone,1,14003290MM20A,(M2),,2014-11-21,Petit Theft,,,,0,,,,,Risk of Recidivism,6,Medium,2014-11-10,Risk of Violence,4,Low,2014-11-10,2016-01-11,2016-01-12,3,0,11,1,1 +5441,joseph pendergrass,joseph,pendergrass,2013-05-04,Male,1959-05-11,56,Greater than 45,African-American,0,4,0,0,0,-1,2013-05-03 02:27:09,2013-05-05 01:57:23,13008632MM10A,2013-05-03,,1,M,Tresspass in Structure or Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-05-03,2013-05-05,0,1,1063,0,0 +5442,zachary williams,zachary,williams,2014-05-23,Male,1991-03-05,25,25 - 45,African-American,0,9,0,0,28,-55,2014-03-29 02:59:33,2014-03-30 01:12:54,14006328MM10A,2014-03-31,,53,M,Assault,1,14000933MM30A,(M1),,2014-05-28,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2014-05-23,Risk of Violence,8,High,2014-05-23,2014-12-08,2015-01-12,28,0,5,1,1 +5443,malcolm ricks,malcolm,ricks,2013-05-29,Male,1990-09-08,25,25 - 45,African-American,1,9,0,0,2,-1,2013-05-28 05:50:56,2013-05-29 07:54:28,13007596CF10A,2013-05-28,,1,F,Possession of Cocaine,1,16002819CF10A,(M1),1,2016-03-03,,2016-03-04,2016-03-04,,0,,,,,Risk of Recidivism,9,High,2013-05-29,Risk of Violence,7,Medium,2013-05-29,2014-10-09,2014-10-10,2,0,498,0,0 +5444,diana munoz,diana,munoz,2013-11-07,Female,1973-08-25,42,25 - 45,Caucasian,0,3,0,0,1,-1,2013-11-06 01:03:10,2013-11-27 07:23:14,13015499CF10A,2013-11-06,,1,F,Fail To Redeliv Hire/Leas Prop,1,14024216TC40A,(M2),,2014-04-06,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-07,Risk of Violence,1,Low,2013-11-07,2013-11-06,2013-11-27,1,20,150,1,1 +5445,jean edmond,jean,edmond,2013-01-17,Male,1982-02-28,34,25 - 45,African-American,0,10,2,0,9,,,,12055993TC10A,2012-10-29,,80,M,Susp Drivers Lic 1st Offense,1,13013709TC10A,(M2),,2013-02-19,Driving License Suspended,,,,1,14004311CF10A,(F6),2013-11-14,Murder in the First Degree,Risk of Recidivism,10,High,2013-01-17,Risk of Violence,9,High,2013-01-17,2006-11-20,2007-01-01,9,0,33,1,1 +5446,osmar berges,osmar,berges,2014-02-08,Male,1967-12-09,48,Greater than 45,African-American,0,6,0,0,4,-1,2014-02-07 08:43:01,2014-02-08 10:23:55,14001736CF10A,2014-02-07,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-08,Risk of Violence,3,Low,2014-02-08,2015-06-17,2015-07-01,4,0,494,0,0 +5447,james lapaix,james,lapaix,2013-12-08,Male,1981-10-03,34,25 - 45,African-American,1,10,0,0,21,-1,2013-12-07 10:49:28,2013-12-13 05:26:14,13022660MM10A,2013-12-07,,1,M,Battery,1,14004993MM10A,(M2),0,2014-03-22,Driving License Suspended,2014-03-22,2014-11-12,,1,14004993MM10A,(M1),2014-03-22,Battery,Risk of Recidivism,10,High,2013-12-08,Risk of Violence,10,High,2013-12-08,2014-03-22,2014-11-12,21,5,104,1,1 +5448,jose pareja,jose,pareja,2013-04-14,Male,1987-10-07,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-13 09:40:01,2013-04-14 02:57:23,13005350CF10A,2013-04-13,,1,F,Traffick Oxycodone 4g><14g,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-14,Risk of Violence,2,Low,2013-04-14,2013-04-13,2013-04-14,0,0,1083,0,0 +5449,hermes perez,hermes,perez,2013-11-17,Male,1983-05-27,32,25 - 45,Caucasian,0,3,0,0,1,-1,2013-11-16 01:11:58,2013-11-17 08:28:49,13015954CF10A,2013-11-16,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-17,Risk of Violence,2,Low,2013-11-17,2015-07-15,2015-08-08,1,0,605,0,0 +5451,jamie winkleblech,jamie,winkleblech,2014-03-11,Female,1985-02-02,31,25 - 45,Caucasian,0,1,0,0,2,-1,2014-03-10 11:24:08,2014-03-12 03:59:12,14003385CF10A,2014-03-10,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2014-03-10,2014-03-12,2,1,752,0,0 +5453,keonah dailey,keonah,dailey,2014-09-23,Female,1991-11-05,24,Less than 25,African-American,0,9,0,0,4,-1,2014-09-22 07:44:06,2014-09-28 03:12:38,14012826CF10A,2014-09-22,,1,F,Possession of Cocaine,1,14014045CF10A,(F3),0,2014-10-17,Grand Theft (Motor Vehicle),2014-10-17,2014-11-21,,0,,,,,Risk of Recidivism,9,High,2014-09-23,Risk of Violence,8,High,2014-09-23,2014-10-17,2014-11-21,4,5,24,1,1 +5454,janelle dunbar,janelle,dunbar,2013-03-13,Female,1990-10-20,25,25 - 45,Caucasian,0,4,0,0,0,0,2013-03-13 01:15:29,2013-03-13 05:55:27,13003689CF10A,2013-03-12,,1,F,Possession of Hydromorphone,1,13015491CF10A,(F3),0,2013-11-06,Possession of Hydromorphone,2013-11-06,2013-12-16,,0,,,,,Risk of Recidivism,4,Low,2013-03-13,Risk of Violence,4,Low,2013-03-13,2013-11-06,2013-12-16,0,0,238,1,1 +5455,christine powers,christine,powers,2014-01-16,Female,1983-09-04,32,25 - 45,Caucasian,0,2,0,1,4,-1,2014-01-15 05:18:19,2014-01-15 09:27:23,14000652CF10A,2014-01-15,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2014-01-15,2014-01-15,4,0,806,0,0 +5456,randy hall,randy,hall,2013-04-26,Male,1978-11-25,37,25 - 45,African-American,0,9,0,0,20,0,2013-04-26 03:44:07,2013-06-01 03:07:29,13006001CF10A,2013-04-26,,0,F,Driving While License Revoked,1,13014105CF10A,(M1),1,2013-10-08,Resist/Obstruct W/O Violence,2013-10-09,2013-12-06,,0,,,,,Risk of Recidivism,9,High,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2003-06-24,2020-01-01,20,0,165,1,1 +5458,latisha tillman,latisha,tillman,2013-08-17,Male,1991-10-14,24,Less than 25,African-American,0,3,0,0,1,-1,2013-08-16 06:16:58,2013-08-18 04:49:59,13011500CF10A,2013-08-16,,1,F,Battery on Law Enforc Officer,1,13034518TC10A,(M2),51,2013-08-19,Operating W/O Valid License,2013-10-09,2013-10-10,,0,,,,,Risk of Recidivism,3,Low,2013-08-17,Risk of Violence,4,Low,2013-08-17,2013-08-16,2013-08-18,1,1,2,1,1 +5459,hering bolano,hering,bolano,2014-03-15,Male,1967-07-21,48,Greater than 45,African-American,0,1,0,0,0,0,2014-03-15 01:10:22,2014-03-16 01:46:30,14003674CF10A,2014-03-14,,1,M,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-15,Risk of Violence,1,Low,2014-03-15,2014-03-15,2014-03-16,0,1,748,0,0 +5460,anthony demps,anthony,demps,2013-06-26,Male,1990-06-27,25,25 - 45,African-American,1,9,2,0,9,43,2013-08-08 10:16:20,2013-09-27 05:24:31,11019440CF10A,,2013-06-06,20,F,arrest case no charge,1,13011104CF10A,(F3),0,2013-08-08,Grand Theft (Motor Vehicle),2013-08-08,2013-09-27,,1,16000237MM10A,(M1),2015-10-07,Battery,Risk of Recidivism,9,High,2013-06-26,Risk of Violence,9,High,2013-06-26,2013-08-08,2013-09-27,9,0,43,1,1 +5461,willie starkey,willie,starkey,2013-12-16,Male,1981-03-22,35,25 - 45,African-American,0,2,0,0,1,0,2013-12-16 03:09:50,2013-12-16 08:23:44,13017369CF10A,2013-12-16,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-16,2013-12-16,1,0,837,0,0 +5463,damani bankston,damani,bankston,2013-09-09,Male,1994-09-15,21,Less than 25,African-American,0,4,0,0,1,-1,2013-09-08 01:03:41,2013-09-09 01:34:09,13012685CF10A,2013-09-08,,1,F,Attempted Burg/Convey/Unocc,1,15004018CF10A,(F2),,2013-11-01,Burglary Unoccupied Dwelling,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-09,Risk of Violence,6,Medium,2013-09-09,2015-04-15,2015-04-16,1,0,53,1,1 +5465,keontrae clarke,keontrae,clarke,2013-04-13,Female,1994-08-13,21,Less than 25,African-American,0,10,0,0,0,-1,2013-04-12 05:21:40,2013-05-15 05:49:26,13005291CF10A,2013-04-12,,1,F,Grand Theft in the 3rd Degree,1,13014699CF10A,(F3),0,2013-10-21,Possession of Cocaine,2013-10-21,2013-10-22,,0,,,,,Risk of Recidivism,10,High,2013-04-13,Risk of Violence,9,High,2013-04-13,2013-09-20,2013-09-25,0,32,160,0,1 +5472,tanya kennon,tanya,kennon,2014-09-25,Female,1988-04-23,27,25 - 45,Caucasian,0,2,0,0,0,-1,2014-09-24 01:55:41,2014-09-26 09:22:56,14012926CF10A,2014-09-24,,1,F,Grand Theft in the 3rd Degree,1,15001013CF10A,(F3),0,2015-01-22,Possession of Oxycodone,2015-01-22,2015-02-25,,0,,,,,Risk of Recidivism,2,Low,2014-09-25,Risk of Violence,2,Low,2014-09-25,2015-01-22,2015-02-25,0,1,119,1,1 +5473,terrance gordon,terrance,gordon,2014-03-26,Male,1993-11-22,22,Less than 25,African-American,0,2,0,0,0,-1,2014-03-25 03:44:15,2014-03-26 09:01:59,14004227CF10A,2014-03-25,,1,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-26,Risk of Violence,4,Low,2014-03-26,2014-03-25,2014-03-26,0,0,737,0,0 +5474,demarr labordeaux,demarr,labordeaux,2013-04-05,Male,1987-04-28,28,25 - 45,African-American,0,5,0,0,4,0,2013-04-05 01:20:12,2013-04-05 01:32:17,13004854CF10A,2013-04-04,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-05,Risk of Violence,5,Medium,2013-04-05,2014-10-15,2014-10-16,4,0,558,0,0 +5475,robert watts,robert,watts,2013-05-09,Male,1990-03-11,26,25 - 45,African-American,0,2,0,0,0,-1,2013-05-08 04:58:36,2013-05-09 07:23:44,13008904MM10A,2013-05-08,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-09,Risk of Violence,3,Low,2013-05-09,2013-05-08,2013-05-09,0,0,1058,0,0 +5476,kadeem clarke,kadeem,clarke,2014-07-02,Male,1992-10-13,23,Less than 25,Other,0,2,0,0,0,-1,2014-07-01 03:22:24,2014-07-02 01:50:13,14009034CF10A,2014-07-01,,1,M,Felony Battery (Dom Strang),1,14017732MM10A,(M1),146,2014-07-23,Viol Pretrial Release Dom Viol,2014-12-16,2015-03-10,,0,,,,,Risk of Recidivism,2,Low,2014-07-02,Risk of Violence,3,Low,2014-07-02,2014-12-16,2015-03-10,0,0,21,1,1 +5477,brian wagner,brian,wagner,2013-04-11,Male,1982-03-20,34,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-10 11:41:34,2013-04-11 07:33:54,13005190CF10A,2013-04-10,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-11,Risk of Violence,1,Low,2013-04-11,2013-04-10,2013-04-11,0,0,1086,0,0 +5479,anthony bones,anthony,bones,2013-01-12,Male,1993-08-19,22,Less than 25,African-American,0,9,0,0,3,-1,2013-01-11 05:12:24,2013-02-14 04:12:48,13000502CF10A,2013-01-11,,1,F,Agg Assault W/int Com Fel Dome,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-12,Risk of Violence,9,High,2013-01-12,2015-01-08,2015-03-12,3,33,726,0,0 +5482,jimmy desilus,jimmy,desilus,2013-05-19,Male,1986-01-03,30,25 - 45,Other,0,5,0,0,5,-1,2013-05-18 03:12:28,2013-07-19 12:34:52,13007104CF10A,2013-05-18,,1,F,False Imprisonment,1,13043818TC10A,(M2),0,2013-11-12,Lve/Scen/Acc/Veh/Prop/Damage,2013-11-12,2014-05-16,,0,,,,,Risk of Recidivism,5,Medium,2013-05-19,Risk of Violence,4,Low,2013-05-19,2013-11-12,2014-05-16,5,61,177,1,1 +5483,joseph webb,joseph,webb,2014-03-03,Male,1971-09-22,44,25 - 45,Caucasian,0,2,0,0,5,0,2014-03-03 10:15:24,2014-03-10 10:03:52,14003005CF10A,,2014-03-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-03,2014-03-10,5,7,760,0,0 +5484,robert bianco,robert,bianco,2013-11-25,Male,1958-09-05,57,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-11-24 07:32:33,2013-12-11 11:30:00,13016331CF10A,2013-11-24,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-24,2013-12-11,1,16,858,0,0 +5485,greg sims,greg,sims,2013-04-19,Male,1994-02-01,22,Less than 25,African-American,0,8,0,1,0,-1,2013-04-18 04:29:35,2013-04-23 07:35:16,13005555CF10A,2013-04-18,,1,F,Criminal Mischief,1,13008137CF10A,(F3),,2013-06-08,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,8,High,2013-04-19,Risk of Violence,9,High,2013-04-19,2013-04-18,2013-04-23,0,4,50,1,1 +5487,ranell peebles,ranell,peebles,2013-03-08,Male,1981-06-15,34,25 - 45,African-American,0,3,0,0,0,,,,13003405CF10A,2013-03-07,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-08,Risk of Violence,4,Low,2013-03-08,,,0,0,1120,0,0 +5489,reshaud bowens,reshaud,bowens,2014-05-19,Male,1991-12-21,24,Less than 25,African-American,0,8,0,0,7,-1,2014-05-18 02:30:01,2014-07-25 05:53:01,14006909CF10A,2014-05-18,,1,F,Aggravated Battery / Pregnant,1,15005652CF10A,(F3),0,2015-04-30,Poss Pyrrolidinovalerophenone,2015-04-30,2015-07-16,,0,,,,,Risk of Recidivism,8,High,2014-05-19,Risk of Violence,7,Medium,2014-05-19,2015-01-01,2015-03-02,7,67,227,0,1 +5491,michael davis,michael,davis,2013-08-16,Male,1995-04-21,20,Less than 25,Caucasian,0,4,0,0,0,-1,2013-08-15 11:34:07,2013-08-16 01:47:50,13011485CF10A,2013-08-15,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-16,Risk of Violence,7,Medium,2013-08-16,2013-08-15,2013-08-16,0,0,959,0,0 +5492,david hayes,david,hayes,2014-01-14,Male,1980-08-12,35,25 - 45,Caucasian,0,9,0,0,2,-50,2013-11-25 05:40:33,2013-11-26 08:44:57,13016409CF10A,2013-11-25,,50,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-14,Risk of Violence,5,Medium,2014-01-14,2014-03-26,2014-04-08,2,0,71,0,0 +5494,marcus gonzalez,marcus,gonzalez,2013-02-08,Male,1962-11-06,53,Greater than 45,Hispanic,0,1,0,0,1,-8,2013-01-31 01:20:08,2013-02-02 01:43:22,13002254MM10A,2013-01-31,,8,M,Petit Theft,1,13013376CF10A,(F3),,2013-09-20,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-08,Risk of Violence,1,Low,2013-02-08,2013-05-21,2013-06-18,1,0,102,0,1 +5495,johnnie dixon,johnnie,dixon,2013-05-30,Male,1955-12-17,60,Greater than 45,African-American,0,3,0,0,13,-13,2013-05-17 08:51:50,2013-05-18 07:54:03,13007090CF10A,2013-05-17,,13,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-30,Risk of Violence,1,Low,2013-05-30,2013-05-17,2013-05-18,13,0,1037,0,0 +5496,shanice king,shanice,king,2014-02-21,Female,1993-05-27,22,Less than 25,African-American,0,5,0,0,2,-1,2014-02-20 01:45:43,2014-02-21 10:18:02,14002407CF10A,2014-02-20,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,7,Medium,2014-02-21,2014-02-20,2014-02-21,2,0,770,0,0 +5497,douglas duarte,douglas,duarte,2013-03-11,Male,1972-12-13,43,25 - 45,Hispanic,0,1,0,0,0,-1,2013-03-10 08:27:36,2013-03-11 07:22:36,13004808MM10A,2013-03-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-03-10,2013-03-11,0,0,1117,0,0 +5500,william boyance,william,boyance,2013-09-23,Male,1943-11-12,72,Greater than 45,Caucasian,0,4,0,0,7,-1,2013-09-22 12:36:34,2013-09-22 02:15:20,13013322CF10A,2013-09-21,,2,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-22,2013-09-22,7,0,921,0,0 +5501,willie fairley,willie,fairley,2014-06-28,Male,1983-02-23,33,25 - 45,African-American,0,5,0,0,3,-1,2014-06-27 02:26:44,2014-07-01 01:30:18,14008882CF10A,2014-06-27,,1,F,Possession of Cocaine,1,14009691CF10A,(M1),1,2014-07-15,Resist/Obstruct W/O Violence,2014-07-16,2014-11-09,,0,,,,,Risk of Recidivism,5,Medium,2014-06-28,Risk of Violence,2,Low,2014-06-28,2014-06-27,2014-07-01,3,3,17,1,1 +5502,eric haynes,eric,haynes,2013-01-31,Male,1991-08-15,24,Less than 25,African-American,0,4,0,0,1,-1,2013-01-30 03:09:43,2013-01-30 07:28:46,13001491CF10A,2013-01-29,,2,F,Burglary Structure Unoccup,1,13021149MM10A,(M1),0,2013-11-09,Possess Drug Paraphernalia,2013-11-09,2013-12-03,,0,,,,,Risk of Recidivism,4,Low,2013-01-31,Risk of Violence,4,Low,2013-01-31,2013-11-09,2013-12-03,1,0,282,1,1 +5505,bruce davis,bruce,davis,2013-08-08,Male,1956-02-06,60,Greater than 45,African-American,0,1,0,0,0,-1,2013-08-07 09:07:30,2014-03-13 12:32:21,13011062CF10A,2013-08-07,,1,F,Att Burgl Struc/Conv Dwel/Occp,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,2016-01-05,2016-01-18,0,217,880,0,0 +5506,vincent dellapi,vincent,dellapi,2014-01-31,Male,1991-09-16,24,Less than 25,Caucasian,0,5,0,0,3,-1,2014-01-30 05:52:54,2014-02-06 10:26:24,14001351CF10A,2014-01-30,,1,F,Aggravated Battery / Pregnant,1,15021006TC20A,(M2),,2015-03-24,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-31,Risk of Violence,4,Low,2014-01-31,2014-01-30,2014-02-06,3,6,417,1,1 +5507,patwayne walters,patwayne,walters,2013-01-01,Male,1972-10-24,43,25 - 45,Other,0,2,0,0,2,,,,13000001TC10A,2012-12-31,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-01,Risk of Violence,1,Low,2013-01-01,,,2,0,1186,0,0 +5508,eric francois,eric,francois,2013-06-19,Male,1985-08-17,30,25 - 45,African-American,0,4,0,0,1,-5,2013-06-14 01:37:37,2013-06-16 07:28:46,13011443MM10A,2013-06-14,,5,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-19,Risk of Violence,6,Medium,2013-06-19,2013-06-14,2013-06-16,1,0,1017,0,0 +5511,tracy primose,tracy,primose,2013-11-03,Female,1972-12-12,43,25 - 45,Caucasian,0,6,0,0,0,-1,2013-11-02 09:36:41,2013-12-02 08:15:22,13020687MM10A,2013-11-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-12-02,0,29,880,0,0 +5512,angel lopez,angel,lopez,2013-02-25,Male,1967-11-14,48,Greater than 45,Hispanic,0,1,0,0,1,-8,2013-02-17 12:27:13,2013-02-23 08:12:19,13003395MM10A,2013-02-16,,9,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-02-17,2013-02-23,1,0,1131,0,0 +5514,turgay fodul,turgay,fodul,2013-02-11,Male,1961-07-01,54,Greater than 45,Other,0,1,0,0,0,0,2013-02-11 12:00:23,2013-02-11 07:22:50,13002959MM10A,2013-02-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-11,2013-02-11,0,0,1145,0,0 +5515,shawn demetrius,shawn,demetrius,2013-08-25,Male,1970-06-11,45,Greater than 45,African-American,0,1,0,0,1,-1,2013-08-24 06:22:37,2013-08-26 08:51:07,13016203MM10A,2013-08-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-25,Risk of Violence,1,Low,2013-08-25,2013-08-24,2013-08-26,1,1,950,0,0 +5517,junior savoir,junior,savoir,2013-03-19,Male,1979-05-25,36,25 - 45,Other,0,4,0,0,0,-1,2013-03-18 10:24:17,2013-03-22 05:52:34,13003946CF10A,2013-03-18,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-19,Risk of Violence,2,Low,2013-03-19,2013-03-18,2013-03-22,0,3,1109,0,0 +5518,john hartsock,john,hartsock,2013-08-26,Male,1985-03-26,31,25 - 45,Caucasian,0,1,0,0,1,0,2013-08-26 02:58:09,2013-08-26 01:26:58,13016323MM10A,2013-08-25,,1,M,Driving Under The Influence,1,16002812CF10A,(M1),0,2016-03-05,,2016-03-05,2016-03-10,,0,,,,,Risk of Recidivism,1,Low,2013-08-26,Risk of Violence,1,Low,2013-08-26,2016-03-05,2016-03-10,1,0,922,1,0 +5519,derric taylor,derric,taylor,2013-04-25,Male,1976-03-10,40,25 - 45,African-American,0,1,0,0,0,-1,2013-04-24 05:34:54,2013-04-26 09:40:31,13007964MM10A,2013-04-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-24,2013-04-26,0,1,1072,0,0 +5520,robert gilbert,robert,gilbert,2013-12-30,Male,1966-02-18,50,Greater than 45,Caucasian,0,1,0,0,1,-4,2013-12-26 09:12:06,2013-12-28 02:38:17,13017960CF10A,,2013-12-26,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2013-12-26,2013-12-28,1,0,823,0,0 +5522,tina james,tina,james,2013-06-25,Female,1989-08-13,26,25 - 45,Other,0,6,0,0,1,-24,2013-06-01 05:12:35,2013-06-02 01:56:35,08021085MM10A,,2009-10-15,1349,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-25,Risk of Violence,4,Low,2013-06-25,2015-11-12,2015-11-12,1,0,870,0,0 +5524,robinson benjamin,robinson,benjamin,2013-09-04,Male,1974-08-18,41,25 - 45,African-American,0,4,0,0,7,0,2013-09-04 10:54:08,2013-09-05 07:50:31,12012054CF10A,,2013-09-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-04,2013-09-05,7,1,940,0,0 +5525,nicholas gory,nicholas,gory,2013-09-25,Male,1982-02-20,34,25 - 45,Caucasian,0,6,0,1,5,-1,2013-09-24 01:51:29,2013-09-24 08:05:16,13013401CF10A,2013-09-23,,2,F,"Poss3,4 Methylenedioxymethcath",1,13017041CF10A,(F3),40,2013-10-30,Grand Theft in the 3rd Degree,2013-12-09,2014-03-27,,0,,,,,Risk of Recidivism,6,Medium,2013-09-25,Risk of Violence,5,Medium,2013-09-25,2016-01-14,2016-01-15,5,0,35,1,1 +5528,carly lipper,carly,lipper,2013-05-28,Female,1987-10-07,28,25 - 45,Caucasian,0,6,0,0,0,-1,2013-05-27 05:16:29,2013-05-29 05:22:26,13007533CF10A,2013-05-27,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-28,Risk of Violence,3,Low,2013-05-28,2013-08-24,2013-09-10,0,1,88,0,0 +5530,raymond joseph,raymond,joseph,2014-01-15,Male,1986-02-17,30,25 - 45,African-American,0,1,0,0,1,-48,2013-11-28 12:42:35,2014-01-15 10:22:07,13016540CF10A,2013-11-28,,48,F,Murder in 2nd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-15,Risk of Violence,2,Low,2014-01-15,2013-11-28,2014-01-15,1,0,807,0,0 +5531,anthony chimera,anthony,chimera,2013-05-01,Male,1992-09-10,23,Less than 25,Caucasian,0,9,0,2,2,0,2013-05-01 03:49:13,2013-05-01 06:45:32,13006240CF10A,2013-05-01,,0,F,Neglect Child / No Bodily Harm,1,14002722MM10A,(M2),0,2014-02-17,Prowling/Loitering,2014-02-17,2014-02-27,,0,,,,,Risk of Recidivism,9,High,2013-05-01,Risk of Violence,9,High,2013-05-01,2014-02-17,2014-02-27,2,0,292,1,1 +5532,jahaida zavala,jahaida,zavala,2014-02-03,Female,1978-11-15,37,25 - 45,Hispanic,0,1,0,0,0,-2,2014-02-01 03:46:00,2014-02-02 08:45:42,14001781MM10A,2014-02-01,,2,M,Battery,1,14042752MU10A,(M1),0,2014-11-22,Driving Under The Influence,2014-11-22,2014-11-23,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-11-22,2014-11-23,0,0,292,1,1 +5534,julio ibanez,julio,ibanez,2013-01-09,Male,1980-10-28,35,25 - 45,Hispanic,0,2,0,0,5,-1,2013-01-08 02:08:35,2013-01-08 06:56:18,13000391MM10A,2013-01-07,,2,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2013-01-08,2013-01-08,5,0,1178,0,0 +5535,luis medina,luis,medina,2014-03-06,Male,1994-11-20,21,Less than 25,Caucasian,0,6,0,1,1,-1,2014-03-05 08:32:49,2014-04-23 05:59:12,14003131CF10A,2014-03-05,,1,F,Burglary Conveyance Unoccup,1,15003603CF10A,(M1),0,2015-03-17,Possess Drug Paraphernalia,2015-03-17,2015-10-05,,0,,,,,Risk of Recidivism,6,Medium,2014-03-06,Risk of Violence,7,Medium,2014-03-06,2015-03-17,2015-10-05,1,48,376,1,1 +5536,michael grisham,michael,grisham,2014-02-12,Male,1970-11-09,45,Greater than 45,African-American,0,9,0,0,1,-70,2013-12-04 08:10:54,2014-02-04 11:10:00,13001861CF10A,,2013-12-04,70,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-12,Risk of Violence,8,High,2014-02-12,2013-12-04,2014-02-04,1,0,779,0,0 +5537,quanesia hannah,quanesia,hannah,2013-03-28,Female,1993-12-28,22,Less than 25,African-American,0,8,1,0,2,-1,2013-03-27 10:41:47,2013-05-01 10:14:51,13006003MM10A,2013-03-27,,1,M,Battery,1,13009322MM10A,(M1),0,2013-05-15,Possess Cannabis/20 Grams Or Less,2013-05-15,2013-05-25,,0,,,,,Risk of Recidivism,8,High,2013-03-28,Risk of Violence,8,High,2013-03-28,2013-05-15,2013-05-25,2,34,48,1,1 +5539,eric lodenquai,eric,lodenquai,2013-09-18,Male,1986-10-17,29,25 - 45,African-American,0,8,0,0,6,-1,2013-09-17 11:51:23,2013-10-23 07:53:15,13013121CF10A,2013-09-17,,1,F,Possession of Cocaine,1,13015029CF10A,(F3),1,2013-10-27,Possession of Cocaine,2013-10-28,2013-11-19,,0,,,,,Risk of Recidivism,8,High,2013-09-18,Risk of Violence,4,Low,2013-09-18,2013-09-17,2013-10-23,6,35,39,1,1 +5542,sabrina milton,sabrina,milton,2013-11-04,Female,1985-11-07,30,25 - 45,African-American,0,2,0,0,0,-2,2013-11-02 11:13:20,2013-11-03 01:50:01,13020691MM10A,2013-11-02,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-04,Risk of Violence,2,Low,2013-11-04,2013-11-02,2013-11-03,0,0,879,0,0 +5543,earl sharp,earl,sharp,2013-05-22,Male,1971-02-12,45,Greater than 45,Caucasian,0,3,0,0,3,-1,2013-05-21 11:38:18,2013-08-22 09:33:30,13009780MM10A,2013-05-21,,1,M,Battery,1,14000931MM40A,(M1),,2013-11-24,Battery,,,,1,14000931MM40A,(M1),2013-11-24,Battery,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-21,2013-08-22,3,92,186,1,1 +5544,jennifer wiggs,jennifer,wiggs,2013-04-15,Female,1991-08-13,24,Less than 25,African-American,0,4,0,0,2,-1,2013-04-14 01:58:48,2013-04-15 07:59:24,13005361CF10A,2013-04-14,,1,F,Forging Bank Bills/Promis Note,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-15,Risk of Violence,4,Low,2013-04-15,2014-10-03,2014-10-08,2,0,536,0,0 +5545,gregory manze,gregory,manze,2013-01-13,Male,1984-12-13,31,25 - 45,Caucasian,0,8,0,0,4,0,2013-01-13 03:31:33,2013-02-11 07:30:38,13002960CF10A,2013-01-13,,0,F,Felony Battery w/Prior Convict,1,14004526MM10A,(M1),0,2014-03-15,Viol Injunct Domestic Violence,2014-03-15,2014-03-19,,0,,,,,Risk of Recidivism,8,High,2013-01-13,Risk of Violence,8,High,2013-01-13,2013-03-18,2013-03-18,4,29,64,0,1 +5546,mark onufer,mark,onufer,2013-11-20,Male,1959-11-02,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-19 08:52:59,2013-11-20 08:31:12,13021768MM10A,2013-11-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-11-19,2013-11-20,0,0,863,0,0 +5548,xiomara cruz,xiomara,cruz,2013-05-06,Female,1971-11-25,44,25 - 45,Hispanic,0,3,0,0,4,-85,2013-02-10 12:20:46,2013-02-10 09:31:28,13002017CF10A,2013-02-09,,86,F,Battery on Law Enforc Officer,1,13031049TC10A,(M2),79,2013-06-10,Driving License Suspended,2013-08-28,2013-09-13,,0,,,,,Risk of Recidivism,3,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-08-28,2013-09-13,4,0,35,1,1 +5550,stanley rivers,stanley,rivers,2013-05-18,Male,1992-01-28,24,Less than 25,African-American,0,10,4,0,14,-1,2013-05-17 05:23:41,2013-11-13 05:58:39,13007047CF10A,2013-05-17,,1,F,Grand Theft (Motor Vehicle),1,14009008CF10A,(F2),,2014-06-30,Robbery,,,,1,14009008CF10A,(F2),2014-06-30,Robbery,Risk of Recidivism,10,High,2013-05-18,Risk of Violence,10,High,2013-05-18,2014-06-25,2014-08-26,14,179,408,1,1 +5551,terry ross,terry,ross,2013-08-03,Male,1977-10-25,38,25 - 45,African-American,0,6,0,0,11,-1,2013-08-02 09:45:18,2013-08-20 10:59:27,13010926CF10A,2013-08-02,,1,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-03,Risk of Violence,2,Low,2013-08-03,2013-08-02,2013-08-20,11,17,972,0,0 +5552,anthony smith,anthony,smith,2013-03-15,Male,1964-07-01,51,Greater than 45,African-American,0,9,0,0,22,-1,2013-03-14 12:00:18,2013-04-18 05:56:24,13003786CF10A,,2013-03-14,1,F,arrest case no charge,1,13017181CF10A,(F3),0,2013-12-12,Possession of Cocaine,2013-12-12,2014-05-06,,0,,,,,Risk of Recidivism,9,High,2013-03-15,Risk of Violence,2,Low,2013-03-15,2013-12-12,2014-05-06,22,34,272,1,1 +5553,belal jabr,belal,jabr,2013-04-11,Male,1994-02-15,22,Less than 25,Caucasian,0,3,0,0,0,-1,2013-04-10 07:51:06,2013-04-11 07:48:52,13005168CF10A,2013-04-10,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-11,Risk of Violence,5,Medium,2013-04-11,2013-04-10,2013-04-11,0,0,1086,0,0 +5554,jean innocent,jean,innocent,2013-10-11,Male,1988-01-13,28,25 - 45,African-American,0,8,0,0,5,-1,2013-10-10 06:23:41,2013-10-11 08:20:50,12003079MM10A,,2013-10-10,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-11,Risk of Violence,6,Medium,2013-10-11,2013-10-10,2013-10-11,5,0,903,0,0 +5556,david mayo,david,mayo,2013-05-09,Male,1968-10-27,47,Greater than 45,African-American,0,8,0,1,19,-1,2013-05-08 03:31:13,2013-12-06 12:09:35,13006606CF10A,2013-05-08,,1,F,Possession of Cocaine,1,14012918CF10A,(F3),0,2014-09-24,Possession of Hydromorphone,2014-09-24,2015-02-24,,0,,,,,Risk of Recidivism,8,High,2013-05-09,Risk of Violence,3,Low,2013-05-09,2014-09-24,2015-02-24,19,211,503,1,1 +5557,steven austin,steven,austin,2014-01-01,Male,1964-11-02,51,Greater than 45,African-American,0,4,0,0,0,-1,2013-12-31 04:39:03,2014-01-30 10:05:25,14000019MM10A,2013-12-31,,1,M,Viol Injunct Domestic Violence,1,14004521MM10A,(M1),0,2014-03-15,Resist/Obstruct W/O Violence,2014-03-15,2014-03-16,,0,,,,,Risk of Recidivism,4,Low,2014-01-01,Risk of Violence,1,Low,2014-01-01,2014-03-15,2014-03-16,0,29,73,1,1 +5558,jesse montooth,jesse,montooth,2013-04-23,Male,1990-11-13,25,25 - 45,Caucasian,0,3,0,0,1,0,2013-04-23 02:54:38,2013-06-04 09:05:42,13007880MM10A,2013-04-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-23,Risk of Violence,4,Low,2013-04-23,2013-06-22,2013-06-26,1,42,60,0,0 +5560,fernando padron,fernando,padron,2013-02-04,Male,1963-01-08,53,Greater than 45,Hispanic,0,1,0,0,1,-1,2013-02-03 04:59:00,2013-02-04 07:14:28,13001693CF10A,2013-02-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-04-13,2013-04-13,1,0,68,0,0 +5561,christopher hall,christopher,hall,2013-10-29,Male,1985-05-09,30,25 - 45,African-American,0,1,0,0,0,-1,2013-10-28 04:30:30,2013-10-30 09:15:16,13015053CF10A,2013-10-28,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-29,Risk of Violence,1,Low,2013-10-29,2013-10-28,2013-10-30,0,1,885,0,0 +5563,steven benghiat,steven,benghiat,2013-04-19,Male,1982-12-22,33,25 - 45,Caucasian,0,6,0,0,0,0,2013-04-19 03:25:56,2013-04-19 07:26:13,13005630CF10A,2013-04-19,,0,F,Possession of Cocaine,1,14004481MM10A,(M1),0,2014-03-14,Battery,2014-03-14,2014-04-11,,1,14004481MM10A,(M1),2014-03-14,Battery,Risk of Recidivism,6,Medium,2013-04-19,Risk of Violence,3,Low,2013-04-19,2014-03-14,2014-04-11,0,0,329,1,1 +5564,kimiko wilkinson,kimiko,wilkinson,2013-02-09,Male,1980-12-14,35,25 - 45,African-American,0,4,0,0,5,-1,2013-02-08 01:19:12,2013-09-21 04:54:31,13002152CF10A,2013-02-08,,1,F,Aggrav Stalking After Injunctn,1,14007768CF10A,(F3),0,2014-06-05,Possession of Cocaine,2014-06-05,2015-02-02,,1,15000832MM20A,(M1),2015-02-25,Battery,Risk of Recidivism,4,Low,2013-02-09,Risk of Violence,3,Low,2013-02-09,2014-06-05,2015-02-02,5,224,481,1,1 +5567,mary mckinley,mary,mckinley,2013-12-27,Female,1982-10-19,33,25 - 45,African-American,0,2,0,0,0,-1,2013-12-26 06:52:59,2013-12-28 01:05:30,13017838CF10A,2013-12-26,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-27,Risk of Violence,2,Low,2013-12-27,2013-12-26,2013-12-28,0,1,826,0,0 +5568,viven mcdonald,viven,mcdonald,2013-04-03,Male,1950-10-03,65,Greater than 45,African-American,0,10,0,0,11,,,,07003603CF10A,2007-02-23,,2231,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-03,Risk of Violence,4,Low,2013-04-03,2007-03-02,2007-05-16,11,0,1094,0,0 +5569,michael kuruvilla,michael,kuruvilla,2013-09-26,Male,1956-06-11,59,Greater than 45,Other,0,1,0,0,1,-25,2013-09-01 10:54:33,2013-09-02 01:06:24,13016750MM10A,2013-09-01,,25,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2013-09-01,2013-09-02,1,0,918,0,0 +5572,sharon rouis,sharon,rouis,2014-01-09,Female,1978-09-30,37,25 - 45,African-American,0,5,0,0,4,,,,12015065MO10A,,2014-01-08,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-09,Risk of Violence,3,Low,2014-01-09,,,4,0,813,0,0 +5573,marcie denney,marcie,denney,2013-09-13,Female,1982-10-12,33,25 - 45,Caucasian,0,7,0,0,1,-1,2013-09-12 10:04:43,2013-12-06 04:12:00,11012788CF10A,,2013-09-12,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-13,Risk of Violence,5,Medium,2013-09-13,2013-09-12,2013-12-06,1,84,931,0,0 +5574,christopher richardson,christopher,richardson,2013-09-06,Male,1989-02-24,27,25 - 45,African-American,0,7,0,0,2,-1,2013-09-05 03:29:10,2014-01-15 10:28:19,13012539CF10A,,2013-09-05,1,F,arrest case no charge,1,15009093MM10A,(M1),,2015-08-19,Extradition/Defendants,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-06,Risk of Violence,7,Medium,2013-09-06,2013-09-05,2014-01-15,2,131,712,1,1 +5575,geraldine hughes,geraldine,hughes,2013-11-27,Female,1986-06-18,29,25 - 45,African-American,0,7,0,0,9,-1,2013-11-26 10:27:58,2013-12-11 04:13:09,13016492CF10A,2013-11-26,,1,F,Poss Anti-Shoplifting Device,1,15009348CF10A,(F3),135,2015-03-07,Crimin Mischief Damage $1000+,2015-07-20,2015-07-21,,0,,,,,Risk of Recidivism,7,Medium,2013-11-27,Risk of Violence,5,Medium,2013-11-27,2013-11-26,2013-12-11,9,14,465,1,1 +5576,robert osceola,robert,osceola,2014-11-05,Male,1989-12-13,26,25 - 45,Native American,0,8,0,0,11,64,2015-01-08 12:49:54,2015-09-07 02:50:46,14013671CF10A,2014-06-08,,150,F,Possession of Cocaine,1,16000600MM40A,(M1),,2015-12-28,Battery,,,,1,16000600MM40A,(M1),2015-12-28,Battery,Risk of Recidivism,8,High,2014-11-05,Risk of Violence,5,Medium,2014-11-05,2015-01-08,2015-09-07,11,0,64,0,1 +5578,edward mckennie,edward,mckennie,2013-11-07,Male,1991-09-18,24,Less than 25,African-American,0,10,0,3,3,-1,2013-11-06 06:35:18,2013-12-20 09:11:24,13015455CF10A,2013-11-06,,1,F,Aggravated Assault W/Dead Weap,1,14013568MM10A,(M1),,2014-08-06,Battery,,,,1,14013568MM10A,(M1),2014-08-06,Battery,Risk of Recidivism,10,High,2013-11-07,Risk of Violence,9,High,2013-11-07,2013-11-06,2013-12-20,3,43,272,1,1 +5579,nathaniel scarborough,nathaniel,scarborough,2013-04-03,Male,1972-09-18,43,25 - 45,African-American,0,9,0,0,5,-1,2013-04-02 11:44:15,2013-04-03 02:42:40,13004734CF10A,2013-04-02,,1,F,Poss Wep Conv Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-03,Risk of Violence,5,Medium,2013-04-03,2013-04-02,2013-04-03,5,0,1094,0,0 +5583,jimmy sheppard,jimmy,sheppard,2014-05-30,Male,1978-12-24,37,25 - 45,African-American,0,7,0,0,11,-1,2014-05-29 08:59:15,2014-05-30 01:17:20,14008621MM10A,2014-05-29,,1,M,Battery,1,15010158MM10A,(M1),0,2015-09-26,Battery,2015-09-26,2015-11-25,,1,15010158MM10A,(M1),2015-09-26,Battery,Risk of Recidivism,7,Medium,2014-05-30,Risk of Violence,3,Low,2014-05-30,2014-09-17,2014-09-19,11,0,110,0,1 +5584,charles hawkins,charles,hawkins,2013-04-04,Male,1962-12-23,53,Greater than 45,African-American,0,7,0,0,13,-1,2013-04-03 04:57:52,2013-07-03 10:10:58,13004786CF10A,2013-04-03,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-04,Risk of Violence,6,Medium,2013-04-04,2013-04-03,2013-07-03,13,90,1093,0,0 +5585,montrez harris,montrez,harris,2013-03-06,Male,1972-11-11,43,25 - 45,African-American,0,1,0,0,4,-39,2013-01-26 04:30:09,2013-03-05 10:02:24,10014591CF10A,,2013-01-26,39,F,arrest case no charge,1,16000518MM10A,(M2),1,2016-01-15,Unnatural/Lascivious Act,2016-01-16,2016-01-21,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,1,Low,2013-03-06,2016-01-16,2016-01-21,4,0,1045,1,0 +5586,fabian staples,fabian,staples,2014-01-24,Male,1989-08-04,26,25 - 45,African-American,0,8,0,0,4,0,2014-01-24 04:45:38,2014-01-25 01:54:43,14001066CF10A,2014-01-24,,0,F,"Poss3,4 Methylenedioxymethcath",1,14029700TC10A,(M2),0,2014-06-12,Driving License Suspended,2014-06-12,2014-06-13,,0,,,,,Risk of Recidivism,8,High,2014-01-24,Risk of Violence,5,Medium,2014-01-24,2014-06-12,2014-06-13,4,1,139,1,1 +5590,toni giarraputo,toni,giarraputo,2013-09-10,Female,1985-10-16,30,25 - 45,Caucasian,0,3,0,0,1,-27,2013-08-14 03:54:15,2013-08-14 08:26:49,13015398MM10A,2013-08-14,,27,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-10,Risk of Violence,2,Low,2013-09-10,2013-08-14,2013-08-14,1,0,934,0,0 +5591,blaine wiggins,blaine,wiggins,2013-10-15,Male,1988-11-10,27,25 - 45,African-American,0,7,0,0,6,0,2013-10-15 07:16:22,2013-10-17 05:27:21,13014424CF10A,2013-10-15,,0,F,Fabricating Physical Evidence,1,14002460MM10A,(M1),0,2014-02-12,Trespass Other Struct/Conve,2014-02-12,2014-02-12,,0,,,,,Risk of Recidivism,7,Medium,2013-10-15,Risk of Violence,6,Medium,2013-10-15,2013-11-14,2013-11-15,6,2,30,0,1 +5592,keith wallack,keith,wallack,2013-03-21,Male,1976-08-11,39,25 - 45,Caucasian,0,5,0,0,9,-1,2013-03-20 08:06:14,2013-03-21 10:39:06,13004022CF10A,2013-03-20,,1,F,Possession of Cocaine,1,13031382TC10A,(M2),,2013-06-19,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-21,Risk of Violence,3,Low,2013-03-21,2013-07-11,2014-01-05,9,0,90,1,1 +5593,fidel salnave,fidel,salnave,2013-01-29,Male,1978-07-04,37,25 - 45,Caucasian,0,4,0,0,4,0,2013-01-29 03:26:56,2013-01-29 09:19:35,13001419CF10A,2013-01-29,,0,M,Aggravated Battery / Pregnant,1,13016502MM10A,(M1),1,2013-08-28,Viol Injunct Domestic Violence,2013-08-29,2013-10-03,,1,14008377MM10A,(M2),2014-05-25,Assault,Risk of Recidivism,4,Low,2013-01-29,Risk of Violence,3,Low,2013-01-29,2015-01-21,2015-03-20,4,0,211,1,1 +5594,martavis harvard,martavis,harvard,2014-01-18,Male,1993-11-29,22,Less than 25,Caucasian,0,10,0,0,3,0,2014-01-18 12:18:05,2014-01-29 03:44:23,14000922MM10A,2014-01-17,,1,M,Battery,1,15004444CF10A,(F3),1,2015-04-04,Possession of Cocaine,2015-04-05,2015-04-18,,0,,,,,Risk of Recidivism,10,High,2014-01-18,Risk of Violence,6,Medium,2014-01-18,2014-08-29,2014-09-19,3,11,223,0,1 +5596,brian addeo,brian,addeo,2013-10-12,Male,1991-01-10,25,25 - 45,Caucasian,0,6,0,0,0,-1,2013-10-11 06:21:59,2013-10-13 07:53:41,13014255CF10A,2013-10-11,,1,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-12,Risk of Violence,4,Low,2013-10-12,2013-10-11,2013-10-13,0,1,902,0,0 +5598,melvin barraza,melvin,barraza,2013-08-30,Male,1989-10-04,26,25 - 45,Hispanic,0,5,0,0,1,0,2013-08-30 11:51:04,2013-08-31 01:57:53,13010846CF10A,,2013-08-30,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-30,Risk of Violence,3,Low,2013-08-30,2013-08-30,2013-08-31,1,1,945,0,0 +5599,elena gokun-diazyepez,elena,gokun-diazyepez,2013-01-28,Female,1988-02-19,28,25 - 45,Caucasian,0,6,0,0,0,-2,2013-01-26 04:03:40,2013-01-27 02:03:52,13001879MO10A,2013-01-26,,2,M,DOC/Cause Public Danger,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-28,Risk of Violence,2,Low,2013-01-28,2013-01-26,2013-01-27,0,0,1159,0,0 +5600,joel dunkley,joel,dunkley,2014-03-09,Male,1990-10-06,25,25 - 45,African-American,0,5,0,0,0,-1,2014-03-08 04:53:09,2014-03-10 03:28:00,14004037MM10A,2014-03-08,,1,M,Battery,1,14004204MM40A,(M2),,2014-10-08,Defrauding Innkeeper,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-09,Risk of Violence,3,Low,2014-03-09,2014-03-08,2014-03-10,0,1,213,1,1 +5601,jong lee,jong,lee,2013-01-12,Male,1957-04-28,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-11 05:59:50,2013-01-14 11:02:16,13000662CF10A,,2013-01-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-12,Risk of Violence,1,Low,2013-01-12,2014-02-04,2014-02-14,1,2,388,0,0 +5603,allyson kenney,allyson,kenney,2014-06-03,Female,1986-06-20,29,25 - 45,Caucasian,0,5,0,0,1,-2,2014-06-01 03:16:47,2014-06-03 10:28:03,14020222MU10A,2014-06-01,,2,M,Driving Under The Influence,1,15002897CF10A,(F3),1,2015-03-02,Possession Of Alprazolam,2015-03-03,2015-03-04,,0,,,,,Risk of Recidivism,5,Medium,2014-06-03,Risk of Violence,3,Low,2014-06-03,2014-06-10,2014-07-03,1,0,7,0,1 +5604,michael ottey,michael,ottey,2014-01-03,Male,1983-04-17,33,25 - 45,African-American,0,5,0,0,8,0,2014-01-03 06:25:02,2014-01-06 01:29:56,14000145CF10A,2014-01-03,,0,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-03,Risk of Violence,3,Low,2014-01-03,2014-01-03,2014-01-06,8,3,819,0,0 +5605,patrick housen,patrick,housen,2014-01-19,Male,1977-09-08,38,25 - 45,African-American,0,1,0,0,0,-1,2014-01-18 01:29:20,2014-01-19 09:10:09,14000782CF10A,,2014-01-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-19,Risk of Violence,1,Low,2014-01-19,2014-01-18,2014-01-19,0,0,803,0,0 +5607,amon brasher,amon,brasher,2014-01-08,Male,1977-10-08,38,25 - 45,Caucasian,0,3,0,0,2,-21,2013-12-18 08:35:42,2014-01-06 09:27:23,13017460CF10A,2013-12-18,,21,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-08,Risk of Violence,2,Low,2014-01-08,2013-12-18,2014-01-06,2,0,814,0,0 +5609,leonard sweeting,leonard,sweeting,2013-01-24,Male,1956-08-13,59,Greater than 45,African-American,0,6,0,0,22,-1,2013-01-23 04:45:17,2013-04-02 10:35:27,13001082CF10A,2013-01-23,,1,F,Felony Petit Theft,1,14000594CF10A,(F2),0,2014-01-14,Poss Wep Conv Felon,2014-01-14,2014-03-27,,0,,,,,Risk of Recidivism,6,Medium,2013-01-24,Risk of Violence,6,Medium,2013-01-24,2013-04-18,2013-05-14,22,68,84,0,1 +5611,eric stephenson,eric,stephenson,2013-02-08,Male,1987-03-17,29,25 - 45,Other,0,5,0,0,4,-1,2013-02-07 11:48:39,2013-02-08 07:49:28,13002792MM10A,2013-02-07,,1,M,Battery,1,13085565TC30A,(M2),,2013-08-29,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-08,Risk of Violence,4,Low,2013-02-08,2014-06-11,2014-06-12,4,0,202,1,1 +5612,eddie mcgowan,eddie,mcgowan,2014-03-04,Male,1958-10-14,57,Greater than 45,African-American,0,5,0,0,9,,,,13016798CF10A,2013-12-04,,90,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-04,Risk of Violence,5,Medium,2014-03-04,2000-06-27,2002-01-19,9,0,759,0,0 +5613,glenn mercado,glenn,mercado,2014-07-05,Male,1962-10-23,53,Greater than 45,Caucasian,0,2,0,0,0,-1,2014-07-04 10:27:05,2014-07-08 09:34:22,14010287MM10A,2014-07-04,,1,M,Battery,1,15010489TC10A,(M2),,2015-03-26,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-07-05,Risk of Violence,2,Low,2014-07-05,2014-07-04,2014-07-08,0,3,264,1,1 +5614,kandyce sapp,kandyce,sapp,2014-11-14,Male,1983-01-30,33,25 - 45,African-American,0,8,0,0,2,-1,2014-11-13 12:10:56,2014-11-14 08:36:47,14015275CF10A,2014-11-13,,1,F,Aggrav Battery w/Deadly Weapon,1,15007478MM10A,(M1),0,2015-07-13,Trespass Other Struct/Convey,2015-07-13,2015-07-13,,1,15010885MM10A,(M1),2015-10-17,Battery,Risk of Recidivism,8,High,2014-11-14,Risk of Violence,7,Medium,2014-11-14,2015-07-13,2015-07-13,2,0,241,0,1 +5617,james torgerson,james,torgerson,2014-01-20,Male,1957-10-13,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-01-19 09:53:29,2014-01-20 08:18:08,14000969MM10A,2014-01-18,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-20,Risk of Violence,1,Low,2014-01-20,2014-01-19,2014-01-20,1,0,802,0,0 +5618,jose uman,jose,uman,2013-09-14,Male,1964-08-06,51,Greater than 45,Caucasian,0,1,0,0,1,,,,13017500MM10A,2013-09-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-14,Risk of Violence,1,Low,2013-09-14,,,1,0,930,0,0 +5620,willie brinson,willie,brinson,2013-07-24,Male,1991-03-30,25,25 - 45,African-American,0,9,0,2,11,126,2013-11-27 04:59:37,2014-10-14 06:08:06,12003617CF10A,2012-03-09,,502,F,Fleeing Or Attmp Eluding A Leo,1,13016513CF10A,(F3),0,2013-11-27,Possession Burglary Tools,2013-11-27,2014-10-14,,0,,,,,Risk of Recidivism,9,High,2013-07-24,Risk of Violence,8,High,2013-07-24,2013-11-27,2014-10-14,11,0,126,1,1 +5621,james williams,james,williams,2013-04-12,Male,1962-12-18,53,Greater than 45,Caucasian,0,4,0,0,2,-1,2013-04-11 11:19:05,2013-05-22 02:10:17,13005238CF10A,2013-04-11,,1,F,Fail Sex Offend Report Bylaw,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,2013-04-11,2013-05-22,2,40,1085,0,0 +5623,michael clermont,michael,clermont,2014-11-04,Male,1984-02-04,32,25 - 45,Caucasian,0,6,0,0,0,-1,2014-11-03 11:44:26,2014-11-21 10:13:10,14016452MM10A,2014-11-03,,1,M,Petit Theft,1,15008644MM10A,(M1),0,2015-08-15,Trespass Other Struct/Convey,2015-08-15,2015-08-16,,0,,,,,Risk of Recidivism,6,Medium,2014-11-04,Risk of Violence,8,High,2014-11-04,2015-08-15,2015-08-16,0,17,284,1,1 +5627,delvin mcdougle,delvin,mcdougle,2014-05-29,Male,1980-09-08,35,25 - 45,African-American,0,8,0,0,6,-1,2014-05-28 07:21:57,2014-06-08 04:15:39,14007415CF10A,2014-05-28,,1,F,Uttering a Forged Instrument,1,14008665CF10A,(F1),1,2014-06-22,Aggravated Battery On 65/Older,2014-06-23,2015-12-03,,1,14008665CF10A,(F1),2014-06-22,Aggravated Battery On 65/Older,Risk of Recidivism,8,High,2014-05-29,Risk of Violence,6,Medium,2014-05-29,2014-05-28,2014-06-08,6,10,24,1,1 +5628,norman regg,norman,regg,2013-09-30,Male,1976-06-22,39,25 - 45,Caucasian,0,1,0,0,1,-1,2013-09-29 04:31:28,2013-09-30 08:43:42,13012761CF10A,,2013-09-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,1,0,914,0,0 +5631,martin cordero,martin,cordero,2013-02-22,Male,1979-07-28,36,25 - 45,Hispanic,0,9,0,0,1,-14,2013-02-08 07:10:53,2013-02-22 10:51:00,13003154MM10A,2013-02-08,,14,M,Extradition/Defendants,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-22,Risk of Violence,4,Low,2013-02-22,2013-02-08,2013-02-22,1,0,1134,0,0 +5632,patricia mele,patricia,mele,2013-04-07,Female,1973-10-06,42,25 - 45,Caucasian,0,4,0,0,5,-1,2013-04-06 05:11:31,2013-04-12 09:28:13,13006742MM10A,,2013-04-06,1,M,arrest case no charge,1,14017164CF10A,(F3),0,2014-12-29,Possession Of Heroin,2014-12-29,2015-01-15,,0,,,,,Risk of Recidivism,4,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2014-12-29,2015-01-15,5,5,631,1,1 +5633,archange pierre,archange,pierre,2013-03-02,Male,1978-08-13,37,25 - 45,African-American,0,2,0,0,0,-1,2013-03-01 07:33:15,2013-03-02 01:13:00,13004231MM10A,2013-03-01,,1,M,Tresspass Struct/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-02,Risk of Violence,2,Low,2013-03-02,2013-03-01,2013-03-02,0,0,1126,0,0 +5634,jacek jodlowski,jacek,jodlowski,2013-05-13,Male,1976-12-08,39,25 - 45,Caucasian,0,1,0,0,0,-1,2013-05-12 09:23:55,2013-05-15 10:49:50,13006799CF10A,2013-05-12,,1,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-15,0,2,1054,0,0 +5635,lisa kaye,lisa,kaye,2013-11-26,Female,1963-10-08,52,Greater than 45,Caucasian,0,1,0,0,3,-25,2013-11-01 03:19:41,2013-11-01 07:54:46,13020656MM10A,2013-11-01,,25,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2013-11-01,2013-11-01,3,0,857,0,0 +5637,alexander jolly,alexander,jolly,2014-02-23,Male,1955-08-02,60,Greater than 45,Other,0,1,0,0,1,-1,2014-02-22 05:53:23,2014-02-23 08:19:26,14003111MM10A,2014-02-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-23,Risk of Violence,1,Low,2014-02-23,2014-02-22,2014-02-23,1,0,768,0,0 +5638,israel lopez,israel,lopez,2013-05-29,Male,1979-01-15,37,25 - 45,Hispanic,0,1,0,0,2,-1,2013-05-28 03:04:23,2013-05-29 02:34:17,13007603CF10A,2013-05-28,,1,M,Aggravated Battery / Pregnant,1,15053446TC20A,(M2),,2015-09-26,Permit Unauthorized Minor Drv,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-28,2013-05-29,2,0,850,1,0 +5639,jorge almanza,jorge,almanza,2013-03-26,Male,1973-05-05,42,25 - 45,Caucasian,0,1,0,0,4,-1,2013-03-25 10:40:55,2013-04-12 05:43:04,13004335CF10A,2013-03-25,,1,F,Burglary Conveyance Unoccup,1,14004697TC10A,(M2),,2013-11-12,Reckless Driving,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-26,Risk of Violence,2,Low,2013-03-26,2013-03-25,2013-04-12,4,17,231,1,1 +5644,raul casanova-costa,raul,casanova-costa,2014-06-24,Male,1971-08-18,44,25 - 45,Hispanic,0,1,0,0,0,,,,,,,,M,,1,15004530CF10A,(F3),0,2015-04-06,Resist Officer w/Violence,2015-04-06,2015-04-06,,1,15004530CF10A,(F3),2015-04-06,Battery on Law Enforc Officer,Risk of Recidivism,1,Low,2014-06-24,Risk of Violence,1,Low,2014-06-24,2015-04-06,2015-04-06,0,0,286,0,1 +5646,malcolm turner,malcolm,turner,2013-04-26,Male,1992-08-05,23,Less than 25,African-American,0,6,0,0,6,0,2013-04-26 05:16:50,2013-04-27 07:43:41,13006041CF10A,2013-04-26,,0,F,Possession of Cocaine,1,13014271MM10A,(M2),30,2013-06-27,Petit Theft,2013-07-27,2013-09-23,,1,15016350CF10A,(F3),2015-12-22,Battery on Law Enforc Officer,Risk of Recidivism,6,Medium,2013-04-26,Risk of Violence,7,Medium,2013-04-26,2013-04-26,2013-04-27,6,1,62,1,1 +5647,coretta ward,coretta,ward,2014-12-22,Female,1973-12-14,42,25 - 45,African-American,0,1,0,0,0,-1,2014-12-21 11:22:26,2014-12-22 01:15:31,14045338MU10A,2014-12-21,,1,M,DUI Level 0.15 Or Minor In Veh,1,15019749TC10A,(M2),272,2015-06-20,Driving License Suspended,2016-03-18,2016-03-19,,0,,,,,Risk of Recidivism,1,Low,2014-12-22,Risk of Violence,1,Low,2014-12-22,2016-03-18,2016-03-19,0,0,180,1,1 +5649,jessica thomson,jessica,thomson,2013-10-15,Female,1987-12-09,28,25 - 45,Caucasian,0,3,0,0,2,-36,2013-09-09 12:02:08,2013-10-15 09:12:52,13008998CF10A,,2013-09-09,36,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-15,Risk of Violence,2,Low,2013-10-15,2013-09-09,2013-10-15,2,0,899,0,0 +5650,ricauter espino,ricauter,espino,2013-08-07,Male,1987-05-14,28,25 - 45,African-American,0,4,0,0,5,0,2013-08-07 01:24:56,2013-08-07 11:21:37,13011027CF10A,2013-08-06,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-07,Risk of Violence,4,Low,2013-08-07,2013-08-07,2013-08-07,5,0,968,0,0 +5651,patrick tinnell,patrick,tinnell,2013-05-03,Male,1977-12-06,38,25 - 45,Caucasian,0,5,0,0,12,-1,2013-05-02 09:10:49,2013-05-03 07:35:53,13006461CF10A,2013-05-02,,1,F,Grand Theft of the 2nd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-03,Risk of Violence,3,Low,2013-05-03,2013-05-02,2013-05-03,12,0,1064,0,0 +5652,ericka taylor,ericka,taylor,2014-02-04,Female,1973-03-22,43,25 - 45,African-American,0,2,0,0,2,-1,2014-02-03 05:19:15,2014-02-05 03:43:14,14001489CF10A,2014-02-03,,1,F,Grand Theft in the 3rd Degree,1,14002878CF10A,(F3),0,2014-02-28,Poss Anti-Shoplifting Device,2014-02-28,2014-03-01,,0,,,,,Risk of Recidivism,2,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-28,2014-03-01,2,1,24,1,1 +5654,brian haynes,brian,haynes,2013-10-19,Male,1973-12-17,42,25 - 45,African-American,0,5,0,0,0,-1,2013-10-18 10:21:40,2013-10-19 08:50:58,13014602CF10A,2013-10-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-19,Risk of Violence,5,Medium,2013-10-19,2013-10-18,2013-10-19,0,0,895,0,0 +5655,jennifer vazquez,jennifer,vazquez,2014-01-16,Female,1990-06-13,25,25 - 45,Caucasian,0,3,0,0,0,-1,2014-01-15 11:55:47,2014-01-16 02:31:04,14000752MM10A,2014-01-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-16,Risk of Violence,3,Low,2014-01-16,2014-01-15,2014-01-16,0,0,806,0,0 +5657,jeff reveille,jeff,reveille,2013-02-27,Male,1983-10-16,32,25 - 45,African-American,0,9,0,0,7,0,2013-02-27 05:00:06,2013-04-05 06:02:00,13002969CF10A,2013-02-27,,0,F,Grand Theft (Motor Vehicle),1,13010688CF10A,(F3),0,2013-07-31,Tampering With Physical Evidence,2013-07-31,2013-10-11,,1,16000257MM10A,(M1),2016-01-07,Battery,Risk of Recidivism,9,High,2013-02-27,Risk of Violence,9,High,2013-02-27,2013-07-31,2013-10-11,7,37,154,1,1 +5658,claude sylvain,claude,sylvain,2013-12-02,Male,1995-03-28,21,Less than 25,African-American,0,6,0,0,0,0,2013-12-02 01:21:07,2013-12-02 09:23:46,13016631CF10A,2013-12-01,,1,F,Resist Officer w/Violence,1,14064363TC40A,(M2),,2014-06-12,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-02,Risk of Violence,7,Medium,2013-12-02,2013-12-02,2013-12-02,0,0,192,1,1 +5659,stacy massaro,stacy,massaro,2013-10-09,Female,1981-03-30,35,25 - 45,Caucasian,0,5,0,0,1,-30,2013-09-09 12:52:13,2013-10-08 08:55:56,13017187MM10A,2013-09-09,,30,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-09,Risk of Violence,2,Low,2013-10-09,2013-09-09,2013-10-08,1,0,905,0,0 +5660,justin scharenbroich,justin,scharenbroich,2013-02-19,Male,1978-11-15,37,25 - 45,Caucasian,0,5,0,0,0,-1,2013-02-18 12:07:07,2013-06-25 07:31:42,13002625CF10A,2013-02-18,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-18,2013-06-25,0,126,1137,0,0 +5664,margaret idowu,margaret,idowu,2013-10-22,Female,1983-03-02,33,25 - 45,African-American,0,2,0,0,2,0,2013-10-22 04:22:46,2013-10-22 07:31:15,13014747CF10A,2013-10-22,,0,F,Failure To Return Hired Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-22,2013-10-22,2,0,892,0,0 +5665,francine jackson,francine,jackson,2013-02-04,Female,1964-12-14,51,Greater than 45,Caucasian,0,3,0,0,4,-11,2013-01-24 07:21:41,2013-02-01 09:41:37,13001159CF10A,,2013-01-24,11,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-03-28,2013-04-16,4,0,52,0,0 +5666,erick philhower,erick,philhower,2013-04-18,Male,1976-04-27,39,25 - 45,Caucasian,0,4,0,0,3,-1,2013-04-17 09:27:09,2013-04-20 07:47:57,13005487CF10A,2013-04-17,,1,F,Possession of Hydromorphone,1,15014306CF10A,(F3),1,2015-11-02,Poss Pyrrolidinovalerophenone,2015-11-03,2015-11-12,,0,,,,,Risk of Recidivism,4,Low,2013-04-18,Risk of Violence,2,Low,2013-04-18,2013-04-17,2013-04-20,3,2,928,1,0 +5667,fermin grajales,fermin,grajales,2013-03-27,Male,1980-10-28,35,25 - 45,Hispanic,0,6,0,0,5,-1,2013-03-26 05:31:34,2013-03-28 08:56:16,13005903MM10A,2013-03-26,,1,M,Viol Pretrial Release Dom Viol,1,14001502MM10A,(M1),0,2014-01-27,Battery,2014-01-27,2014-01-28,,1,14001502MM10A,(M2),2014-01-27,Assault,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,6,Medium,2013-03-27,2014-01-27,2014-01-28,5,1,306,1,1 +5668,allen killings,allen,killings,2013-05-19,Male,1975-09-27,40,25 - 45,African-American,0,7,0,0,3,-1,2013-05-18 09:53:50,2013-05-31 10:07:03,13007111CF10A,2013-05-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-19,Risk of Violence,8,High,2013-05-19,2013-05-18,2013-05-31,3,12,1048,0,0 +5669,david daniels,david,daniels,2014-10-12,Male,1983-10-14,32,25 - 45,African-American,0,8,0,0,17,0,2014-10-12 01:45:40,2014-10-12 08:23:38,14013754CF10A,2014-10-12,,0,F,Possession of Cocaine,1,15063804TC20A,(M2),,2015-11-18,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2014-10-12,Risk of Violence,2,Low,2014-10-12,2016-03-14,2016-03-14,17,0,402,1,1 +5670,zachary brooks,zachary,brooks,2014-05-16,Male,1997-08-01,18,Less than 25,Caucasian,5,8,0,0,4,85,2014-08-09 03:38:35,2014-08-10 12:29:20,14006412CF10A,2014-04-14,,32,F,Burglary Conveyance Unoccup,1,15011063CF10A,(F3),,2015-07-23,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,8,High,2014-05-16,Risk of Violence,8,High,2014-05-16,2014-08-09,2014-08-10,4,0,85,0,1 +5671,daniel culp,daniel,culp,2013-05-12,Male,1983-11-30,32,25 - 45,Caucasian,0,6,0,0,3,0,2013-05-12 12:51:29,2013-05-12 07:01:10,13006766CF10A,2013-05-11,,1,F,"Poss3,4 Methylenedioxymethcath",1,15002538CF10A,(F3),0,2015-02-24,Possession Of Alprazolam,2015-02-24,2015-03-06,,0,,,,,Risk of Recidivism,6,Medium,2013-05-12,Risk of Violence,2,Low,2013-05-12,2014-07-10,2014-08-03,3,0,424,0,1 +5672,peter mcfield,peter,mcfield,2013-11-25,Male,1979-02-25,37,25 - 45,Other,0,1,0,0,0,-1,2013-11-24 08:53:31,2013-11-25 08:20:59,13022078MM10A,2013-11-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-24,2013-11-25,0,0,858,0,0 +5673,shannon mccloud,shannon,mccloud,2014-10-26,Male,1983-08-12,32,25 - 45,African-American,0,6,0,0,10,-1,2014-10-25 10:02:48,2014-10-26 01:48:41,14014364CF10A,2014-10-25,,1,F,Felony Driving While Lic Suspd,1,15006625TC10A,(M2),,2015-02-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2014-10-26,Risk of Violence,2,Low,2014-10-26,2014-10-25,2014-10-26,10,0,106,1,1 +5675,william shaw,william,shaw,2013-08-14,Male,1968-05-17,47,Greater than 45,Caucasian,0,3,0,0,5,0,2013-08-14 05:45:53,2013-08-14 09:05:13,13015381MM10A,2013-08-14,,0,M,Viol Injunct Domestic Violence,1,13015080CF10A,(F2),0,2013-10-29,Aggrav Battery w/Deadly Weapon,2013-10-29,2013-11-10,,1,13015080CF10A,(F2),2013-10-29,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,3,Low,2013-08-14,Risk of Violence,2,Low,2013-08-14,2013-10-29,2013-11-10,5,0,76,1,1 +5676,emily vanhuss,emily,vanhuss,2013-01-14,Female,1993-01-17,23,Less than 25,Caucasian,0,7,0,0,0,-1,2013-01-13 04:51:21,2013-01-14 01:37:46,13000785MO10A,2013-01-13,,1,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-14,Risk of Violence,5,Medium,2013-01-14,2013-01-13,2013-01-14,0,0,1173,0,0 +5677,robert griffin,robert,griffin,2013-10-03,Male,1953-03-06,63,Greater than 45,Caucasian,0,4,0,0,10,0,2013-10-03 02:28:42,2013-10-05 04:18:17,13013891CF10A,2013-10-03,,0,F,Corrupt Public Servant,1,14013119CF10A,(M2),1,2014-09-27,Disorderly Intoxication,2014-09-28,2014-10-28,,1,14013119CF10A,(F3),2014-09-27,Battery on Law Enforc Officer,Risk of Recidivism,4,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-12-12,2013-12-14,10,2,70,0,1 +5678,larry motts,larry,motts,2013-05-17,Male,1978-04-01,38,25 - 45,African-American,0,9,1,0,16,-1,2013-05-16 05:17:01,2014-01-13 02:08:20,13007004CF10A,2013-05-16,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,1,15007157CF10A,(F3),1,2015-05-31,Felony Battery w/Prior Convict,2015-06-01,2015-10-13,,1,15007157CF10A,(F3),2015-05-31,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2013-05-17,Risk of Violence,10,High,2013-05-17,2013-05-16,2014-01-13,16,241,744,1,1 +5680,armond stephens,armond,stephens,2013-04-28,Male,1983-07-23,32,25 - 45,African-American,0,5,0,0,6,-1,2013-04-27 01:09:18,2013-04-29 03:59:19,13008128MM10A,2013-04-27,,1,M,Battery,1,14003153MM10A,(M2),0,2014-02-23,Disorderly Conduct,2014-02-23,2014-02-23,,0,,,,,Risk of Recidivism,5,Medium,2013-04-28,Risk of Violence,4,Low,2013-04-28,2014-02-23,2014-02-23,6,1,301,0,1 +5681,kelsian kelly,kelsian,kelly,2013-12-08,Male,1985-02-15,31,25 - 45,African-American,0,8,0,0,4,-1,2013-12-07 04:12:04,2013-12-31 08:45:57,13016933CF10A,2013-12-07,,1,F,Tampering With Physical Evidence,1,14001057CF10A,(F2),0,2014-01-24,Deliver Cocaine,2014-01-24,2014-02-18,,1,14016345CF10A,(F1),2014-12-06,Attempt Felony Murder,Risk of Recidivism,8,High,2013-12-08,Risk of Violence,3,Low,2013-12-08,2014-01-24,2014-02-18,4,23,47,1,1 +5684,rupert lyn,rupert,lyn,2013-04-20,Male,1992-06-10,23,Less than 25,African-American,0,3,0,0,0,0,2013-04-20 02:46:27,2013-04-21 04:15:10,13005684CF10A,2013-04-19,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-20,Risk of Violence,3,Low,2013-04-20,2013-04-20,2013-04-21,0,1,1077,0,0 +5685,mario raudales,mario,raudales,2013-05-28,Male,1977-11-04,38,25 - 45,Hispanic,0,5,0,0,1,-1,2013-05-27 06:31:39,2013-09-30 12:05:07,13010139MM10A,2013-05-27,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-27,2013-09-30,1,125,1039,0,0 +5686,anne schatzberg,anne,schatzberg,2013-07-29,Female,1968-06-24,47,Greater than 45,Caucasian,0,1,0,0,0,-3,2013-07-26 04:10:44,2013-07-26 06:52:48,13014193MM10A,2013-07-26,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-26,2013-07-26,0,0,977,0,0 +5687,carlos carballea,carlos,carballea,2014-06-28,Male,1982-12-28,33,25 - 45,Caucasian,0,8,0,0,1,-1,2014-06-27 03:19:07,2014-07-07 06:02:34,14008880CF10A,,2014-06-27,1,F,arrest case no charge,1,14002434MM20A,(M2),,2014-08-03,Petit Theft,,,,0,,,,,Risk of Recidivism,8,High,2014-06-28,Risk of Violence,4,Low,2014-06-28,2014-06-27,2014-07-07,1,9,36,1,1 +5689,joseph cioffi,joseph,cioffi,2013-07-05,Male,1993-05-23,22,Less than 25,Caucasian,0,4,0,0,1,-11,2013-06-24 09:31:14,2013-07-03 09:11:19,13008886CF10A,2013-06-24,,11,F,Grand Theft (Motor Vehicle),1,16005176TC20A,(M2),,2016-02-03,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-05,Risk of Violence,5,Medium,2013-07-05,2013-06-24,2013-07-03,1,0,943,1,0 +5691,thomas bickis,thomas,bickis,2013-01-24,Male,1989-07-13,26,25 - 45,Caucasian,0,3,0,0,1,318,2013-12-08 10:09:26,2013-12-16 09:14:25,12015728MM10A,2012-07-31,,177,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-24,Risk of Violence,4,Low,2013-01-24,2013-12-08,2013-12-16,1,0,318,0,0 +5692,tariq raoui,tariq,raoui,2013-12-31,Male,1976-03-25,40,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-30 11:04:35,2013-12-31 01:24:57,13024006MM10A,2013-12-30,,1,M,Battery,1,14004375MM40A,(M2),,2014-09-19,Solicit ProstitutionViolation,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-31,Risk of Violence,1,Low,2013-12-31,2015-04-27,2015-04-27,0,0,262,1,1 +5693,emmanuel colson,emmanuel,colson,2013-04-25,Male,1979-10-30,36,25 - 45,African-American,10,7,0,0,14,-1,2013-04-24 06:26:20,2013-10-15 03:40:43,13005864CF10A,2013-04-24,,1,F,Burglary Conveyance Unoccup,1,13016268CF10A,(M1),0,2013-11-22,Possess Cannabis/20 Grams Or Less,2013-11-22,2014-11-25,,0,,,,,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,5,Medium,2013-04-25,2013-11-22,2014-11-25,14,173,211,1,1 +5695,maria sherman,maria,sherman,2013-05-07,Female,1950-07-29,65,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-07 02:20:22,2013-05-08 03:00:01,13008835MM10A,2013-05-06,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2013-05-07,2013-05-08,0,1,1060,0,0 +5696,johnnie stevenson,johnnie,stevenson,2013-09-04,Male,1971-12-18,44,25 - 45,Caucasian,0,5,0,0,4,-231,2013-01-16 09:26:36,2013-01-18 08:55:48,13001146MM10A,2013-01-16,,231,M,Battery,1,14006119MM10A,(M1),105,2014-02-24,Viol Injunct Domestic Violence,2014-06-09,2014-07-18,,0,,,,,Risk of Recidivism,5,Medium,2013-09-04,Risk of Violence,5,Medium,2013-09-04,2014-06-09,2014-07-18,4,0,173,1,1 +5697,taketha lherisse,taketha,lherisse,2013-08-24,Female,1993-05-05,22,Less than 25,African-American,0,3,0,0,0,-1,2013-08-23 05:49:07,2013-08-24 08:38:31,13016167MM10A,2013-08-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-24,Risk of Violence,4,Low,2013-08-24,2013-08-23,2013-08-24,0,0,951,0,0 +5698,glenn nieves,glenn,nieves,2013-04-01,Male,1981-05-19,34,25 - 45,Hispanic,0,1,0,0,0,0,2013-04-01 04:50:00,2013-04-01 06:11:43,13006252MM10A,2013-04-01,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-04-01,2013-04-01,0,0,1096,0,0 +5699,concepcion leon,concepcion,leon,2013-11-03,Female,1977-11-13,38,25 - 45,Hispanic,0,1,0,0,0,-1,2013-11-02 06:52:51,2013-11-03 04:33:47,13015289CF10A,2013-11-01,,2,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-11-03,0,0,880,0,0 +5700,agostina frasca,agostina,frasca,2013-02-19,Female,1990-03-12,26,25 - 45,Caucasian,0,3,0,0,4,-2,2013-02-17 11:29:04,2013-02-18 01:22:48,13002443CF10A,2013-02-17,,2,F,Possession Of Alprazolam,1,13011579MM10A,(M1),,2013-05-07,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-09-19,2013-10-09,4,0,77,1,1 +5701,christopher gonzalez,christopher,gonzalez,2014-03-16,Male,1995-08-12,20,Less than 25,Hispanic,0,4,0,0,0,-1,2014-03-15 07:16:02,2014-04-07 08:32:38,14004514MM10A,2014-03-15,,1,M,Battery,1,14005723CF10A,(F3),1,2014-04-24,Possession Of Clonazepam,2014-04-25,2014-06-14,,0,,,,,Risk of Recidivism,4,Low,2014-03-16,Risk of Violence,6,Medium,2014-03-16,2014-03-15,2014-04-07,0,22,39,1,1 +5703,pedro lopezgaya,pedro,lopezgaya,2013-04-29,Male,1966-06-12,49,Greater than 45,Hispanic,0,1,0,0,0,-3,2013-04-26 11:44:31,2013-04-27 01:18:43,13006015CF10A,2013-04-26,,3,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-26,2013-04-27,0,0,1068,0,0 +5707,lee williams,lee,williams,2014-02-25,Male,1959-12-31,56,Greater than 45,African-American,0,4,0,0,7,-167,2013-09-11 05:00:11,2013-10-30 09:57:26,13012848CF10A,2013-09-11,,167,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-25,Risk of Violence,4,Low,2014-02-25,2015-09-28,2015-10-20,7,0,580,0,0 +5711,louis simon,louis,simon,2013-12-04,Male,1963-12-19,52,Greater than 45,Caucasian,0,9,0,0,2,0,2013-12-04 04:38:52,2013-12-09 03:02:11,13016762CF10A,2013-12-04,,0,F,Grand Theft in the 3rd Degree,1,14003295CF10A,(F1),0,2014-03-08,Take Copper Other Metal Intrf/Damg Utility,2014-03-08,2015-01-08,,0,,,,,Risk of Recidivism,9,High,2013-12-04,Risk of Violence,1,Low,2013-12-04,2014-03-08,2015-01-08,2,5,94,1,1 +5713,david liberis,david,liberis,2013-01-10,Male,1990-07-30,25,25 - 45,Other,0,2,0,0,2,-1,2013-01-09 08:52:21,2013-01-10 08:27:08,13000532MM10A,2013-01-09,,1,M,Battery,1,14045583TC10A,(M2),0,2014-12-27,Reckless Driving,2014-12-27,2014-12-28,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,3,Low,2013-01-10,2014-12-09,2014-12-10,2,0,698,0,1 +5716,brisley pierre,brisley,pierre,2014-02-16,Male,1981-10-19,34,25 - 45,African-American,0,1,0,0,5,-1,2014-02-15 05:36:32,2014-02-19 07:34:06,14002167CF10A,2014-02-15,,1,F,Agg Assault W/int Com Fel Dome,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-16,Risk of Violence,2,Low,2014-02-16,2014-02-15,2014-02-19,5,3,775,0,0 +5717,winston hewitt,winston,hewitt,2014-02-01,Male,1982-09-23,33,25 - 45,African-American,0,1,0,0,1,-1,2014-01-31 07:44:13,2014-02-01 10:06:49,14001736MM10A,2014-01-31,,1,M,Battery,1,15010680TC10A,(M2),,2015-03-20,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-01,Risk of Violence,2,Low,2014-02-01,2014-01-31,2014-02-01,1,0,412,1,1 +5719,brushod goodrum,brushod,goodrum,2014-01-28,Male,1995-04-14,21,Less than 25,African-American,0,7,1,2,1,-1,2014-01-27 07:40:16,2014-01-28 01:36:11,14001185CF10A,2014-01-27,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-28,Risk of Violence,9,High,2014-01-28,2014-08-31,2014-09-17,1,0,215,0,0 +5722,richard campbell,richard,campbell,2013-10-24,Male,1969-10-19,46,Greater than 45,African-American,0,4,0,0,9,-1,2013-10-23 11:12:17,2013-10-28 12:40:39,13014822CF10A,2013-10-23,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-24,Risk of Violence,2,Low,2013-10-24,2013-10-23,2013-10-28,9,4,890,0,0 +5723,carleb charles,carleb,charles,2013-04-29,Male,1993-10-11,22,Less than 25,African-American,0,6,0,0,2,250,2014-01-04 11:06:47,2014-03-24 09:35:08,13002797MM10A,2013-01-14,,105,M,Battery,1,14000176MM10A,(M1),0,2014-01-04,Resist/Obstruct W/O Violence,2014-01-04,2014-03-24,,1,14000176MM10A,(M2),2014-01-04,Assault,Risk of Recidivism,6,Medium,2013-04-29,Risk of Violence,6,Medium,2013-04-29,2014-01-04,2014-03-24,2,0,250,1,1 +5724,malcolm yount,malcolm,yount,2013-05-03,Male,1959-02-21,57,Greater than 45,Caucasian,0,4,0,0,1,-1,2013-05-02 02:18:14,2013-05-03 07:15:08,13008536MM10A,2013-05-02,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-03,Risk of Violence,3,Low,2013-05-03,2015-01-01,2015-01-13,1,0,608,0,0 +5725,dwayne palmore,dwayne,palmore,2013-03-09,Male,1993-10-14,22,Less than 25,African-American,0,3,0,1,2,0,2013-03-09 03:05:41,2013-03-09 08:16:52,13003504CF10A,2013-03-09,,0,F,Possession of Cocaine,1,13007689CF10A,(M1),0,2013-05-30,Unlaw Use False Name/Identity,2013-05-30,2013-09-25,,0,,,,,Risk of Recidivism,3,Low,2013-03-09,Risk of Violence,6,Medium,2013-03-09,2013-05-30,2013-09-25,2,0,82,1,1 +5726,eileen miller,eileen,miller,2014-07-06,Female,1967-09-25,48,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-07-05 06:25:59,2014-07-07 01:21:30,14024699MU10A,2014-07-05,,1,M,Driving Under The Influence,1,14035910MU10A,(M1),0,2014-10-02,Driving Under The Influence,2014-10-02,2014-11-18,,0,,,,,Risk of Recidivism,1,Low,2014-07-06,Risk of Violence,1,Low,2014-07-06,2014-10-02,2014-11-18,1,1,88,1,1 +5727,michael stephenson,michael,stephenson,2013-05-23,Male,1975-07-16,40,25 - 45,African-American,0,5,0,0,21,-1,2013-05-22 07:09:03,2013-06-21 05:30:00,13007315CF10A,2013-05-22,,1,F,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-23,Risk of Violence,3,Low,2013-05-23,2013-05-22,2013-06-21,21,29,1044,0,0 +5728,shameka wright,shameka,wright,2013-03-16,Female,1985-06-13,30,25 - 45,African-American,0,2,0,0,1,-1,2013-03-15 11:21:37,2013-03-16 07:55:41,12016112CF10A,,2013-03-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-16,Risk of Violence,1,Low,2013-03-16,2013-03-15,2013-03-16,1,0,1112,0,0 +5729,michael woodson,michael,woodson,2013-12-17,Male,1994-12-28,21,Less than 25,Caucasian,0,7,1,0,4,-1,2013-12-16 03:44:25,2014-01-18 05:14:41,13023279MM10A,2013-12-16,,1,M,Battery,1,14009393CF10A,(F2),0,2014-07-09,Robbery / No Weapon,2014-07-09,2015-03-08,,1,14009393CF10A,(F2),2014-07-09,Robbery / No Weapon,Risk of Recidivism,7,Medium,2013-12-17,Risk of Violence,6,Medium,2013-12-17,2014-07-09,2015-03-08,4,32,204,1,1 +5730,sylena mayes,sylena,mayes,2014-02-09,Female,1976-05-24,39,25 - 45,African-American,0,10,2,0,22,-1,2014-02-08 09:20:45,2014-02-12 09:20:16,14001779CF10A,2014-02-08,,1,F,Possession of Cocaine,1,14001331MM40A,(M1),,2014-03-02,Resist/Obstruct W/O Violence,,,,1,15007147CF10A,(F2),2015-05-24,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2014-02-09,Risk of Violence,3,Low,2014-02-09,2014-02-08,2014-02-12,22,3,21,1,1 +5731,cornelius rafferty,cornelius,rafferty,2014-10-13,Male,1988-06-28,27,25 - 45,Caucasian,0,6,0,0,13,-175,2014-04-21 09:38:34,2014-06-30 11:33:08,14002909CF10A,,2014-07-16,89,F,arrest case no charge,1,15013690CF10A,(F3),,2015-10-21,Poss Pyrrolidinovalerophenone,,,,0,,,,,Risk of Recidivism,6,Medium,2014-10-13,Risk of Violence,3,Low,2014-10-13,2014-04-21,2014-06-30,13,0,373,1,1 +5732,samantha keeble,samantha,keeble,2013-02-14,Female,1982-07-09,33,25 - 45,Caucasian,0,6,0,0,0,-1,2013-02-13 05:26:18,2013-02-14 09:27:16,13003172MM10A,2013-02-13,,1,M,Possess Cannabis/20 Grams Or Less,1,13015513MM10A,(M1),,2013-06-11,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-14,Risk of Violence,3,Low,2013-02-14,2015-06-01,2015-07-06,0,0,117,1,1 +5733,nadege fixalant,nadege,fixalant,2013-03-22,Male,1991-11-03,24,Less than 25,African-American,0,3,0,0,0,0,2013-03-22 12:42:13,2013-03-22 01:31:13,13004083CF10A,2013-03-20,,2,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,4,Low,2013-03-22,2013-03-22,2013-03-22,0,0,1106,0,0 +5735,yonel faton,yonel,faton,2013-01-23,Male,1972-05-16,43,25 - 45,African-American,0,1,0,0,0,-1,2013-01-22 06:16:12,2013-01-23 10:40:31,13001023CF10A,2013-01-22,,1,F,Contradict Statement,1,14015611TC30A,(M2),,2014-02-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-23,Risk of Violence,1,Low,2013-01-23,2013-01-22,2013-01-23,0,0,379,1,1 +5736,susan abrames,susan,abrames,2013-10-19,Female,1971-02-21,45,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-19 05:10:30,2013-10-20 08:38:16,13019810MM10A,2013-10-19,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-19,Risk of Violence,1,Low,2013-10-19,2013-10-19,2013-10-20,0,1,895,0,0 +5738,ornan antoine,ornan,antoine,2013-09-09,Male,1964-06-14,51,Greater than 45,African-American,0,3,0,0,3,-18,2013-08-22 02:08:31,2013-08-24 05:03:08,13011842CF10A,2013-08-22,,18,F,DWI w/Inj Susp Lic / Habit Off,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,2,Low,2013-09-09,2013-08-22,2013-08-24,3,0,935,0,0 +5739,olga munnings,olga,munnings,2014-06-12,Female,1981-03-15,35,25 - 45,African-American,0,2,0,0,2,-95,2014-03-09 04:43:09,2014-04-09 10:37:18,14003341CF10A,2014-03-09,,95,F,Poss Pyrrolidinovalerophenone,1,14015156MM10A,(M1),0,2014-10-17,Possess Cannabis/20 Grams Or Less,2014-10-17,2014-11-10,,0,,,,,Risk of Recidivism,2,Low,2014-06-12,Risk of Violence,1,Low,2014-06-12,2014-10-17,2014-11-10,2,0,127,1,1 +5740,shaun strachan,shaun,strachan,2014-01-28,Male,1984-09-23,31,25 - 45,African-American,0,7,0,0,9,-1,2014-01-27 10:03:15,2014-01-28 08:12:54,14001513MM10A,2014-01-27,,1,M,Battery,1,15020354TC40A,(M2),,2015-03-28,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-28,Risk of Violence,3,Low,2014-01-28,2015-11-03,2015-11-04,9,0,424,1,1 +5741,aleksandr do,aleksandr,do,2013-05-08,Male,1988-09-01,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-07 11:30:29,2013-05-09 04:30:45,13008830MM10A,2013-05-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-08,Risk of Violence,3,Low,2013-05-08,2013-05-07,2013-05-09,0,1,1059,0,0 +5742,joseph lopez,joseph,lopez,2014-01-17,Male,1983-06-21,32,25 - 45,African-American,0,2,0,0,1,-1,2014-01-16 11:12:39,2014-01-17 09:32:03,13015447CF10A,,2014-01-16,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-17,Risk of Violence,3,Low,2014-01-17,2014-01-16,2014-01-17,1,0,805,0,0 +5743,wayne jensen,wayne,jensen,2013-08-26,Male,1966-07-22,49,Greater than 45,Caucasian,0,1,0,0,0,-3,2013-08-23 11:31:53,2013-08-24 02:16:48,13016182MM10A,2013-08-23,,3,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-26,Risk of Violence,1,Low,2013-08-26,2013-08-23,2013-08-24,0,0,949,0,0 +5745,kelvin howard,kelvin,howard,2013-08-19,Male,1986-06-10,29,25 - 45,African-American,0,3,0,0,2,-1,2013-08-18 07:04:42,2013-09-14 08:47:48,13011585CF10A,2013-08-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-19,Risk of Violence,2,Low,2013-08-19,2013-08-18,2013-09-14,2,26,956,0,0 +5748,wesley anderson,wesley,anderson,2014-02-06,Male,1992-09-06,23,Less than 25,African-American,0,6,1,0,2,-1,2014-02-05 05:49:02,2014-02-06 09:10:58,14001650CF10A,2014-02-05,,1,F,Aggravated Battery / Pregnant,1,15004893CF10A,(F3),,2014-02-12,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-06,Risk of Violence,5,Medium,2014-02-06,2015-04-14,2015-08-14,2,0,6,1,1 +5749,mories abdo,mories,abdo,2013-02-16,Male,1985-10-09,30,25 - 45,Asian,0,3,0,0,6,-1,2013-02-15 04:08:23,2013-02-16 01:20:46,13003356MM10A,2013-02-15,,1,M,Battery,1,15001199MM30A,(M1),,2015-07-02,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-16,Risk of Violence,2,Low,2013-02-16,2013-02-15,2013-02-16,6,0,866,1,0 +5750,rodney lewis,rodney,lewis,2013-06-13,Male,1960-06-05,55,Greater than 45,African-American,0,6,0,0,12,-69,2013-04-05 02:27:27,2013-06-13 11:42:07,13004885CF10A,2013-04-04,,70,F,Possession of Cocaine,1,14004500CF10A,(F2),0,2014-03-31,Aggravated Battery / Pregnant,2014-03-31,2014-06-17,,1,14004500CF10A,(F2),2014-03-31,Aggravated Battery / Pregnant,Risk of Recidivism,6,Medium,2013-06-13,Risk of Violence,2,Low,2013-06-13,2014-03-31,2014-06-17,12,0,291,1,1 +5753,christopher ayala,christopher,ayala,2013-01-19,Male,1985-10-17,30,25 - 45,Caucasian,0,4,0,0,0,0,2013-01-19 02:18:46,2013-03-16 11:21:32,13001326MM10A,2013-01-18,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-19,Risk of Violence,5,Medium,2013-01-19,2014-07-16,2014-07-23,0,56,543,0,0 +5754,dennis harris,dennis,harris,2014-11-25,Male,1981-09-24,34,25 - 45,African-American,0,4,0,0,13,-1,2014-11-24 07:10:14,2014-11-25 02:33:36,14015804CF10A,2014-11-24,,1,F,Possession Of Alprazolam,1,16003047MM10A,(M2),0,2016-03-13,Unlaw LicTag/Sticker Attach,2016-03-13,2016-03-14,,0,,,,,Risk of Recidivism,4,Low,2014-11-25,Risk of Violence,1,Low,2014-11-25,2016-03-13,2016-03-14,13,0,474,1,1 +5755,jean korkis,jean,korkis,2013-07-26,Male,1959-06-05,56,Greater than 45,Caucasian,0,1,0,0,2,-39,2013-06-17 02:41:04,2013-06-18 06:41:41,13008550CF10A,2013-06-17,,39,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-26,Risk of Violence,1,Low,2013-07-26,2013-06-17,2013-06-18,2,0,980,0,0 +5756,rafael mondelus,rafael,mondelus,2013-09-25,Male,1982-08-25,33,25 - 45,African-American,0,6,0,0,4,0,2013-09-25 12:23:32,2013-09-25 08:09:19,13013442CF10A,2013-09-24,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-25,Risk of Violence,2,Low,2013-09-25,2013-11-17,2013-11-18,4,0,53,0,0 +5757,seccunda davis,seccunda,davis,2013-08-19,Male,1987-05-13,28,25 - 45,African-American,0,2,0,0,1,-1,2013-08-18 07:25:24,2013-08-19 09:01:42,13015644MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-19,Risk of Violence,3,Low,2013-08-19,2013-08-18,2013-08-19,1,0,956,0,0 +5759,brandon mccutchen,brandon,mccutchen,2013-03-22,Male,1987-03-04,29,25 - 45,African-American,0,8,0,0,1,-1,2013-03-21 05:39:06,2013-05-01 02:42:24,13004341CF10A,2013-03-21,,1,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-22,Risk of Violence,8,High,2013-03-22,2013-03-21,2013-05-01,1,40,1106,0,0 +5760,stuart velky,stuart,velky,2014-03-16,Male,1978-01-13,38,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-15 11:22:26,2014-03-16 08:27:01,14010440MU10A,2014-03-15,,1,M,DUI Blood Alcohol Above 0.20,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0 +5761,ian mullarky,ian,mullarky,2014-03-25,Male,1978-12-19,37,25 - 45,Caucasian,0,3,0,0,0,-1,2014-03-24 09:41:54,2014-03-25 08:54:16,14004178CF10A,2014-03-24,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-25,Risk of Violence,2,Low,2014-03-25,2014-03-24,2014-03-25,0,0,738,0,0 +5762,danielle hahn,danielle,hahn,2013-11-27,Female,1982-05-05,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-26 11:39:17,2013-11-27 09:26:57,13022218MM10A,2013-11-26,,1,M,DUI Property Damage/Injury,1,14025687TC20A,(M2),,2014-04-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-27,Risk of Violence,1,Low,2013-11-27,2016-01-18,2016-01-19,0,0,126,1,1 +5763,ray ortiz,ray,ortiz,2013-02-24,Male,1985-11-25,30,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-24 04:24:51,2013-02-24 06:38:51,13002815CF10A,2013-02-24,,0,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-24,Risk of Violence,2,Low,2013-02-24,2013-02-24,2013-02-24,0,0,1132,0,0 +5765,cornelius green,cornelius,green,2013-04-09,Male,1964-05-18,51,Greater than 45,African-American,1,9,0,1,19,-1,2013-04-08 06:47:45,2013-04-21 11:55:21,13005068CF10A,2013-04-08,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-09,Risk of Violence,4,Low,2013-04-09,2014-03-19,2014-03-25,19,12,344,0,0 +5768,henry rumph,henry,rumph,2013-10-24,Male,1950-11-16,65,Greater than 45,African-American,0,5,0,0,7,-1,2013-10-23 04:20:47,2013-10-24 02:07:45,13014809CF10A,2013-10-23,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-24,Risk of Violence,1,Low,2013-10-24,2015-06-23,2015-07-14,7,0,607,0,0 +5769,naita james,naita,james,2013-12-16,Female,1983-09-08,32,25 - 45,African-American,0,1,0,0,1,-1,2013-12-15 05:33:45,2013-12-16 01:04:00,13023234MM10A,2013-12-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,1,0,837,0,0 +5772,thomas riedy,thomas,riedy,2013-04-08,Male,1977-12-30,38,25 - 45,Caucasian,0,7,0,0,5,-2,2013-04-06 12:29:47,2013-04-06 12:59:49,13004915CF10A,2013-04-05,,3,F,Grand Theft in the 3rd Degree,1,13005835CF10A,(F3),0,2013-04-23,Tampering With Physical Evidence,2013-04-23,2013-06-01,,0,,,,,Risk of Recidivism,7,Medium,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-23,2013-06-01,5,0,15,1,1 +5773,elijah horne,elijah,horne,2013-01-17,Male,1980-11-27,35,25 - 45,African-American,0,4,0,0,1,-1,2013-01-16 11:55:37,2013-01-17 07:15:00,13000782CF10A,2013-01-16,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-17,Risk of Violence,3,Low,2013-01-17,2015-10-27,2015-10-27,1,0,1013,0,0 +5774,roger barteau,roger,barteau,2013-06-12,Male,1958-07-10,57,Greater than 45,Caucasian,0,1,0,0,1,-26,2013-05-17 10:57:12,2013-05-18 04:35:45,13007075CF10A,2013-05-17,,26,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-12,Risk of Violence,1,Low,2013-06-12,2013-05-17,2013-05-18,1,0,1024,0,0 +5776,michael cortez,michael,cortez,2013-01-24,Male,1990-04-05,26,25 - 45,Caucasian,0,3,0,0,1,0,2013-01-24 12:37:35,2013-01-24 10:48:46,13001101CF10A,,2013-01-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-01-24,2013-01-24,1,0,1163,0,0 +5778,lorraine francisco,lorraine,francisco,2014-09-17,Female,1992-11-22,23,Less than 25,Hispanic,0,8,3,1,7,-228,2014-02-01 04:16:53,2014-02-02 08:56:00,14001216MM40A,2014-03-02,,199,M,Battery,1,15005890CF10A,(M1),0,2015-05-05,Battery,2015-05-05,2015-06-10,,1,15005890CF10A,(M1),2015-05-05,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2014-09-17,Risk of Violence,5,Medium,2014-09-17,2015-05-05,2015-06-10,7,0,230,1,1 +5779,ralph johnson,ralph,johnson,2014-05-06,Female,1979-10-12,36,25 - 45,African-American,2,6,0,0,4,-1,2014-05-05 07:23:18,2014-05-07 03:34:51,14007449MM10A,2014-05-05,,1,M,Battery,1,15000954MM20A,(M2),,2015-03-15,Trespass Struct/Conveyance,,,,1,15010665MM10A,(M2),2015-09-10,Assault,Risk of Recidivism,6,Medium,2014-05-06,Risk of Violence,3,Low,2014-05-06,2014-05-05,2014-05-07,4,1,313,1,1 +5782,elizabeth lopez,elizabeth,lopez,2013-06-12,Female,1982-11-02,33,25 - 45,Hispanic,0,4,0,0,2,-10,2013-06-02 07:34:41,2013-06-11 09:15:36,13007808CF10A,2013-06-02,,10,F,Poss Alprazolam W/int Sell/Del,1,14004026CF10A,(F3),0,2014-03-21,Possession Of Heroin,2014-03-21,2014-03-22,,0,,,,,Risk of Recidivism,4,Low,2013-06-12,Risk of Violence,2,Low,2013-06-12,2013-09-17,2014-01-02,2,0,97,0,1 +5784,daniel murphy,daniel,murphy,2014-12-12,Male,1981-04-11,35,25 - 45,Caucasian,0,5,0,0,3,-1,2014-12-11 04:17:47,2014-12-12 08:48:06,14016475CF10A,2014-12-11,,1,F,Possession of Cocaine,1,14018078MM10A,(M1),1,2014-12-26,Battery,2014-12-27,2015-02-20,,1,14018078MM10A,(M1),2014-12-26,Battery,Risk of Recidivism,5,Medium,2014-12-12,Risk of Violence,3,Low,2014-12-12,2015-03-13,2015-04-27,3,0,14,1,1 +5785,wilny marc,wilny,marc,2013-12-13,Male,1982-09-17,33,25 - 45,African-American,0,1,0,0,0,-1,2013-12-12 03:14:03,2013-12-13 01:14:04,13017194CF10A,2013-12-12,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-13,Risk of Violence,1,Low,2013-12-13,2015-04-07,2015-04-14,0,0,480,0,0 +5787,teresa hoagland,teresa,hoagland,2013-05-05,Male,1969-03-04,47,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-05 04:15:36,2013-05-06 12:09:26,13008693MM10A,2013-05-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-05,Risk of Violence,1,Low,2013-05-05,2013-05-05,2013-05-06,0,1,1062,0,0 +5789,joana gomezmartinez,joana,gomezmartinez,2013-08-24,Female,1962-06-24,53,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-08-23 05:20:55,2013-08-24 02:07:54,13016181MM10A,2013-08-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-24,Risk of Violence,1,Low,2013-08-24,2013-08-23,2013-08-24,0,0,951,0,0 +5790,sunil mooken,sunil,mooken,2014-03-05,Male,1985-01-27,31,25 - 45,Other,0,5,0,0,6,,,,12007246CF10A,2012-05-15,,659,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-05,Risk of Violence,4,Low,2014-03-05,,,6,0,758,0,0 +5792,daniel mandel,daniel,mandel,2014-06-26,Male,1980-12-24,35,25 - 45,Caucasian,0,4,0,0,1,-15,2014-06-11 01:41:42,2014-06-15 07:38:16,14009265MM10A,2014-06-10,,16,M,Assault,1,16004749TC30A,(M2),,2016-01-13,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,4,Low,2014-06-26,Risk of Violence,1,Low,2014-06-26,2014-06-11,2014-06-15,1,0,566,1,1 +5793,tisa spears,tisa,spears,2014-04-30,Female,1979-11-02,36,25 - 45,African-American,0,3,0,0,1,-1,2014-04-29 07:18:20,2014-04-30 01:35:33,14005932CF10A,2014-04-29,,1,F,Possession of Cocaine,1,15007369MM10A,(M2),0,2015-07-10,Trespass Struct/Conveyance,2015-07-10,2015-08-02,,1,15012057CF10A,(F3),2015-09-17,Aggravated Assault W/Dead Weap,Risk of Recidivism,3,Low,2014-04-30,Risk of Violence,2,Low,2014-04-30,2014-08-28,2014-09-10,1,0,120,0,1 +5795,kristen murphy,kristen,murphy,2013-12-26,Female,1991-04-19,25,25 - 45,Caucasian,0,3,0,0,0,-1,2013-12-25 01:14:05,2013-12-26 01:09:50,13023764MM10A,2013-12-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-26,Risk of Violence,3,Low,2013-12-26,2013-12-25,2013-12-26,0,0,827,0,0 +5797,alfred melchor,alfred,melchor,2013-03-20,Male,1963-10-27,52,Greater than 45,Hispanic,0,6,0,0,10,0,2013-03-20 02:15:51,2013-08-16 04:04:46,13005391CF10A,2013-03-19,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,7,Medium,2013-03-20,2014-10-05,2014-10-08,10,149,564,0,0 +5799,eliezer rosario,eliezer,rosario,2013-09-10,Male,1992-05-18,23,Less than 25,Hispanic,0,7,0,0,3,249,2014-05-17 12:45:30,2015-02-18 10:30:00,12023915MM10A,2012-11-22,,292,M,Battery,1,14007817CF10A,(F3),0,2014-05-17,Felony Battery w/Prior Convict,2014-05-17,2015-02-18,,1,14008030MM10A,(M1),2014-05-17,Battery,Risk of Recidivism,7,Medium,2013-09-10,Risk of Violence,8,High,2013-09-10,2014-05-17,2015-02-18,3,0,249,1,1 +5800,kayode kasali,kayode,kasali,2014-01-02,Male,1982-03-31,34,25 - 45,African-American,0,3,0,0,7,-245,2013-05-02 05:02:48,2013-05-10 01:12:23,13023769MM10A,2013-09-14,,110,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-02,Risk of Violence,2,Low,2014-01-02,2013-05-02,2013-05-10,7,0,820,0,0 +5801,christopher sullivan,christopher,sullivan,2014-10-31,Male,1964-12-12,51,Greater than 45,Caucasian,0,3,0,0,6,0,2014-10-31 03:07:12,2014-11-02 09:34:32,14014642CF10A,2014-10-31,,0,F,Possession of Cocaine,1,14014929CF10A,(F3),0,2014-11-06,Possession of Cocaine,2014-11-06,2014-12-09,,0,,,,,Risk of Recidivism,3,Low,2014-10-31,Risk of Violence,2,Low,2014-10-31,2014-11-06,2014-12-09,6,2,6,1,1 +5804,fabian chambers,fabian,chambers,2014-10-27,Male,1991-07-21,24,Less than 25,African-American,0,8,0,4,8,-1,2014-10-26 10:28:28,2015-05-29 07:52:57,14014405CF10A,2014-10-26,,1,F,Grand Theft (Motor Vehicle),1,15009970CF10A,(F3),,2015-08-02,Fraudulent Use Credit Card,,,,0,,,,,Risk of Recidivism,8,High,2014-10-27,Risk of Violence,8,High,2014-10-27,2014-10-26,2015-05-29,8,214,279,1,1 +5806,anthony vitiello,anthony,vitiello,2014-04-30,Male,1983-10-10,32,25 - 45,Caucasian,0,2,0,0,0,-1,2014-04-29 07:01:50,2014-04-30 01:40:29,14005962CF10A,2014-04-29,,1,F,Possession Burglary Tools,1,15001695CF10A,(F3),,2014-11-30,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,2,Low,2014-04-30,Risk of Violence,1,Low,2014-04-30,2014-12-04,2015-01-12,0,0,214,1,1 +5808,lovett shazier,lovett,shazier,2013-04-20,Male,1973-01-23,43,25 - 45,African-American,0,7,0,0,8,-1,2013-04-19 08:41:22,2014-04-03 06:23:19,13005611CF10A,2013-04-19,,1,F,Felony Petit Theft,1,15004772CF10A,(M2),1,2015-04-10,Trespass Struct/Conveyance,2015-04-11,2015-06-24,,0,,,,,Risk of Recidivism,7,Medium,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2014-04-03,2014-04-18,8,363,720,1,1 +5809,thelbert brayboy,thelbert,brayboy,2013-02-05,Male,1970-11-17,45,Greater than 45,African-American,1,7,0,1,20,-1,2013-02-04 07:35:17,2013-03-23 05:13:19,94002444TC20A,,2013-02-05,0,M,arrest case no charge,1,15004458CF10A,(F2),0,2015-04-05,S/M/D/P/W/Int 1000 Sch/Child C,2015-04-05,2015-05-08,,0,,,,,Risk of Recidivism,7,Medium,2013-02-05,Risk of Violence,2,Low,2013-02-05,2015-04-05,2015-05-08,20,46,789,1,0 +5810,david heller,david,heller,2014-05-27,Male,1974-01-24,42,25 - 45,African-American,0,5,0,0,10,-1,2014-05-26 11:28:58,2014-05-27 08:41:35,14041804TC30A,2014-05-10,,17,M,Driving License Suspended,1,15009060MM10A,(M1),132,2015-03-29,Battery,2015-08-08,2015-08-15,,1,15009060MM10A,(M1),2015-03-29,Battery,Risk of Recidivism,5,Medium,2014-05-27,Risk of Violence,1,Low,2014-05-27,2014-06-26,2014-06-27,10,0,30,0,1 +5811,darryl hicks,darryl,hicks,2014-10-14,Male,1993-11-27,22,Less than 25,African-American,0,7,0,0,1,-1,2014-10-13 05:23:51,2014-10-19 09:32:41,14013803CF10A,2014-10-13,,1,F,Grand Theft in the 3rd Degree,1,15010537CF10A,(F3),,2015-08-14,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,7,Medium,2014-10-14,Risk of Violence,5,Medium,2014-10-14,2014-10-13,2014-10-19,1,5,304,1,1 +5812,lattee bryant,lattee,bryant,2013-10-16,Male,1966-09-13,49,Greater than 45,African-American,0,4,0,0,4,-26,2013-09-20 05:43:27,2013-09-21 09:04:42,13013261CF10A,2013-09-20,,26,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-16,Risk of Violence,1,Low,2013-10-16,2014-01-23,2014-02-13,4,0,99,0,0 +5813,brandon jones,brandon,jones,2014-12-20,Male,1973-08-05,42,25 - 45,African-American,0,1,0,0,0,-3,2014-12-17 10:52:56,2015-01-20 09:05:50,14016711CF10A,2014-12-16,,4,F,Possession Of Heroin,1,15001315CF10A,(F2),0,2015-01-28,Poss Wep Conv Felon,2015-01-28,2015-03-02,,0,,,,,Risk of Recidivism,1,Low,2014-12-20,Risk of Violence,1,Low,2014-12-20,2015-01-28,2015-03-02,0,31,39,1,1 +5814,michael ramos,michael,ramos,2014-11-20,Male,1975-08-30,40,25 - 45,Caucasian,0,8,0,0,0,-1,2014-11-19 03:55:33,2014-12-19 01:16:35,14016534MM10A,2014-11-19,,1,M,Petit Theft,1,15001771CF10A,(F2),,2015-02-07,Agg Battery Grt/Bod/Harm,,,,1,15001771CF10A,(F2),2015-02-07,Agg Battery Grt/Bod/Harm,Risk of Recidivism,8,High,2014-11-20,Risk of Violence,10,High,2014-11-20,2014-11-19,2014-12-19,0,29,79,1,1 +5816,david bennie,david,bennie,2013-02-12,Male,1990-11-26,25,25 - 45,African-American,0,7,1,0,2,-1,2013-02-11 11:27:29,2013-02-12 08:21:51,13002126CF10A,2013-02-11,,1,F,Aggravated Assault W/dead Weap,1,13005711CF10A,(F3),1,2013-04-20,Uttering a Forged Instrument,2013-04-21,2013-04-22,,0,,,,,Risk of Recidivism,7,Medium,2013-02-12,Risk of Violence,3,Low,2013-02-12,2014-07-10,2014-12-30,2,0,67,1,1 +5817,kevin heidegger,kevin,heidegger,2013-12-28,Male,1991-02-08,25,25 - 45,Caucasian,0,5,0,0,0,-1,2013-12-27 01:59:31,2013-12-29 07:34:01,13023896MM10A,2013-12-26,,2,M,Viol Injunct Domestic Violence,1,14002890MM20A,(M2),21,2014-09-09,Defrauding Innkeeper,2014-09-30,2014-10-03,,0,,,,,Risk of Recidivism,5,Medium,2013-12-28,Risk of Violence,3,Low,2013-12-28,2013-12-27,2013-12-29,0,1,255,1,1 +5818,jeremy anderson,jeremy,anderson,2013-03-19,Male,1992-07-06,23,Less than 25,African-American,0,5,0,0,0,-1,2013-03-18 09:03:00,2013-03-20 10:13:45,13003923CF10A,2013-03-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-19,Risk of Violence,7,Medium,2013-03-19,2013-04-18,2013-10-25,0,1,30,0,0 +5820,john hora,john,hora,2014-05-11,Male,1995-02-01,21,Less than 25,Caucasian,0,7,0,0,2,-1,2014-05-10 08:15:07,2014-05-11 08:23:26,14006530CF10A,2014-05-10,,1,F,Felony Driving While Lic Suspd,1,15003914CF10A,(F3),1,2015-03-22,Possess Countrfeit Credit Card,2015-03-23,2015-03-24,,0,,,,,Risk of Recidivism,7,Medium,2014-05-11,Risk of Violence,7,Medium,2014-05-11,2015-06-30,2015-07-02,2,0,315,1,1 +5821,tyler roberts,tyler,roberts,2014-01-21,Male,1984-10-15,31,25 - 45,Caucasian,0,5,0,0,3,0,2014-01-21 01:48:08,2014-01-21 08:50:46,14001009MM10A,2014-01-21,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-21,Risk of Violence,4,Low,2014-01-21,2014-01-21,2014-01-21,3,0,801,0,0 +5824,kerryann murphy,kerryann,murphy,2013-12-19,Female,1987-04-30,28,25 - 45,African-American,0,2,0,0,0,0,2013-12-19 03:23:34,2013-12-20 02:03:00,13023488MM10A,2013-12-19,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-19,Risk of Violence,2,Low,2013-12-19,2013-12-19,2013-12-20,0,1,834,0,0 +5825,james archibald,james,archibald,2013-09-24,Male,1991-11-27,24,Less than 25,African-American,0,9,0,0,11,-1,2013-09-23 06:45:45,2013-11-13 09:53:08,13013381CF10A,2013-09-23,,1,F,Grand Theft in the 3rd Degree,1,14039682TC30A,(M2),94,2014-04-25,Driving License Suspended,2014-07-28,2014-08-01,,0,,,,,Risk of Recidivism,9,High,2013-09-24,Risk of Violence,5,Medium,2013-09-24,2013-09-23,2013-11-13,11,50,213,1,1 +5826,roy raidi,roy,raidi,2013-03-04,Male,1971-04-09,45,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-04 04:31:18,2013-04-10 05:02:33,13003246CF10A,2013-03-04,,0,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2014-07-28,2014-09-06,0,37,511,0,0 +5827,carl sidney,carl,sidney,2014-07-12,Male,1992-08-21,23,Less than 25,African-American,0,4,0,0,2,-1,2014-07-11 01:42:55,2014-07-12 08:01:56,14010667MM10A,2014-07-11,,1,M,Battery,1,15001722MM20A,(M1),203,2015-06-30,Possess Drug Paraphernalia,2016-01-19,2016-01-20,,0,,,,,Risk of Recidivism,4,Low,2014-07-12,Risk of Violence,4,Low,2014-07-12,2016-01-19,2016-01-20,2,0,353,1,1 +5828,julius grant,julius,grant,2013-03-31,Male,1977-01-07,39,25 - 45,African-American,0,8,0,0,7,0,2013-03-31 02:37:57,2013-03-31 06:29:12,13004618CF10A,2013-03-30,,1,F,Aggravated Battery / Pregnant,1,13011471CF10A,(F3),0,2013-08-15,Felony Battery (Dom Strang),2013-08-15,2013-09-19,,1,13011471CF10A,(F3),2013-08-15,Felony Battery (Dom Strang),Risk of Recidivism,8,High,2013-03-31,Risk of Violence,6,Medium,2013-03-31,2013-08-15,2013-09-19,7,0,137,1,1 +5830,andrew marold,andrew,marold,2013-03-13,Male,1990-05-02,25,25 - 45,Caucasian,0,4,0,0,2,-63,2013-01-09 07:22:43,2013-02-21 01:03:50,13000396CF10A,2013-01-09,,63,F,Burglary Conveyance Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-13,Risk of Violence,4,Low,2013-03-13,2015-01-16,2015-02-17,2,0,674,0,0 +5831,livingston graham,livingston,graham,2014-01-03,Male,1991-07-23,24,Less than 25,African-American,0,2,1,0,1,-1,2014-01-02 08:32:23,2014-01-03 01:34:37,14000081CF10A,2014-01-02,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-03,Risk of Violence,4,Low,2014-01-03,2014-01-02,2014-01-03,1,0,819,0,0 +5832,timothy peterson,timothy,peterson,2013-06-07,Male,1969-09-15,46,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-06-06 02:04:55,2013-06-07 04:35:36,11012041CF10A,,2013-06-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-07,Risk of Violence,1,Low,2013-06-07,2014-08-15,2014-08-17,1,0,434,0,0 +5833,kerry richard,kerry,richard,2013-01-11,Male,1968-11-08,47,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-01-10 04:27:00,2013-01-12 05:11:50,13000441CF10A,2013-01-10,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-10,2013-01-12,3,1,1176,0,0 +5835,anthony turk,anthony,turk,2013-07-16,Male,1961-07-19,54,Greater than 45,Caucasian,0,4,0,0,2,66,2013-09-20 10:17:48,2013-09-20 09:05:55,13049962TC30A,2013-04-06,,101,M,Leave Acc/Attend Veh/More $50,1,13017967MM10A,(M1),0,2013-09-20,Harass Witness/Victim/Information,2013-09-20,2013-09-20,,1,13017967MM10A,(M1),2013-09-20,Battery,Risk of Recidivism,4,Low,2013-07-16,Risk of Violence,3,Low,2013-07-16,2013-09-20,2013-09-20,2,0,66,0,1 +5836,samuel brevett,samuel,brevett,2013-05-10,Male,1993-12-20,22,Less than 25,African-American,0,4,0,1,1,-1,2013-05-09 05:58:20,2013-05-10 05:00:29,13008994MM10A,2013-05-09,,1,M,Possess Cannabis/20 Grams Or Less,1,14000648MM30A,(M2),,2014-04-07,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-10,Risk of Violence,5,Medium,2013-05-10,2013-05-09,2013-05-10,1,0,332,1,1 +5837,kristi chudicek,kristi,chudicek,2013-08-20,Female,1981-06-20,34,25 - 45,Caucasian,0,2,0,0,0,-2,2013-08-18 04:06:40,2013-08-19 06:27:43,13015629MM10A,2013-08-18,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-18,2013-08-19,0,0,955,0,0 +5838,jason vanderwynkle,jason,vanderwynkle,2013-01-18,Male,1982-07-09,33,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-18 06:35:53,2013-01-18 08:55:39,13001297MM10A,2013-01-18,,0,M,Driving Under The Influence,1,14008606MU10A,(M1),0,2014-03-04,Driving Under The Influence,2014-03-04,2014-03-04,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2014-03-04,2014-03-04,0,0,410,0,1 +5841,alexis lopezmunoz,alexis,lopezmunoz,2013-01-15,Male,1988-07-22,27,25 - 45,Caucasian,0,6,0,0,1,,,,12019864MM10A,2012-08-18,,150,M,Poss Drugs W/O A Prescription,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-15,Risk of Violence,3,Low,2013-01-15,,,1,0,1172,0,0 +5842,christopher jenkins,christopher,jenkins,2013-11-09,Male,1986-10-09,29,25 - 45,African-American,0,10,0,1,16,-1,2013-11-08 08:55:04,2013-11-09 02:08:17,13015581CF10A,2013-11-08,,1,F,Fleeing Or Attmp Eluding A Leo,1,14006904TC10A,(M2),,2014-02-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-11-09,Risk of Violence,8,High,2013-11-09,2015-04-27,2015-07-03,16,0,89,1,1 +5846,mizraim santiago,mizraim,santiago,2013-07-23,Male,1981-11-04,34,25 - 45,Hispanic,0,2,0,0,3,-6,2013-07-17 03:59:03,2013-07-22 09:39:53,13013591MM10A,2013-07-17,,6,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-23,Risk of Violence,2,Low,2013-07-23,2013-12-09,2013-12-12,3,0,139,0,0 +5847,gregory pierresaint,gregory,pierresaint,2013-07-01,Male,1983-10-11,32,25 - 45,African-American,0,5,0,0,1,-115,2013-03-08 01:31:21,2013-03-08 11:32:21,13003407CF10A,2013-03-08,,115,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-01,Risk of Violence,5,Medium,2013-07-01,2014-03-05,2014-06-29,1,0,247,0,0 +5849,megan mickens,megan,mickens,2013-04-13,Male,1986-12-19,29,25 - 45,African-American,0,6,0,0,0,0,2013-04-13 07:45:58,2013-04-14 07:39:52,13007156MM10A,2013-04-13,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-13,Risk of Violence,3,Low,2013-04-13,2013-04-13,2013-04-14,0,1,1084,0,0 +5850,ashli rodriguez,ashli,rodriguez,2014-08-07,Female,1991-03-07,25,25 - 45,Caucasian,0,3,0,0,2,-1,2014-08-06 12:07:31,2014-08-07 08:49:26,14028826MU10A,2014-08-06,,1,M,Unlaw Lic Use/Disply Of Others,1,15030357TC10A,(M2),,2015-10-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2014-08-07,Risk of Violence,3,Low,2014-08-07,2014-08-06,2014-08-07,2,0,442,1,1 +5851,tristan coulsting,tristan,coulsting,2014-01-12,Male,1982-01-07,34,25 - 45,Caucasian,0,6,0,0,16,-1,2014-01-11 07:02:16,2014-01-12 08:16:38,14000499CF10A,2014-01-11,,1,F,Felony Battery (Dom Strang),1,15027314MU10A,(M1),,2015-10-02,DUI Property Damage/Injury,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-12,Risk of Violence,6,Medium,2014-01-12,2014-01-11,2014-01-12,16,0,628,1,1 +5852,dorothy burgess,dorothy,burgess,2013-04-19,Female,1960-07-30,55,Greater than 45,African-American,0,1,0,0,1,-1,2013-04-18 08:53:43,2013-04-19 07:50:03,13005573CF10A,2013-04-18,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-04-19,1,0,1078,0,0 +5853,anthony latimore,anthony,latimore,2013-10-20,Male,1988-04-26,27,25 - 45,African-American,0,4,0,0,0,-1,2013-10-19 10:42:59,2013-10-20 07:54:16,13014643CF10A,2013-10-19,,1,F,Aggravated Battery / Pregnant,1,13021172MM10A,(M1),0,2013-11-09,Viol Injunct Domestic Violence,2013-11-09,2013-11-21,,0,,,,,Risk of Recidivism,4,Low,2013-10-20,Risk of Violence,4,Low,2013-10-20,2013-11-09,2013-11-21,0,0,20,1,1 +5854,roseson sterlin,roseson,sterlin,2013-02-23,Male,1989-06-20,26,25 - 45,African-American,0,3,0,0,0,-1,2013-02-22 06:44:05,2013-02-23 08:31:02,12025639MO10A,,2013-02-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-23,Risk of Violence,3,Low,2013-02-23,2013-02-22,2013-02-23,0,0,1133,0,0 +5856,jamie wallace,jamie,wallace,2013-04-21,Male,1977-03-05,39,25 - 45,African-American,2,9,2,1,19,-1,2013-04-20 06:19:47,2013-10-17 05:09:38,13005648CF10A,2013-04-20,,1,F,Driving While License Revoked,1,14006983CF10A,(F3),1,2014-05-19,Tampering With Physical Evidence,2014-05-20,2014-05-20,,0,,,,,Risk of Recidivism,9,High,2013-04-21,Risk of Violence,7,Medium,2013-04-21,2013-04-20,2013-10-17,19,179,393,1,1 +5857,charlie stanley,charlie,stanley,2014-01-11,Male,1991-07-02,24,Less than 25,African-American,0,7,0,0,1,0,2014-01-11 04:54:38,2014-01-11 07:57:07,14000494CF10A,2014-01-11,,0,F,Possession of Codeine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-11,Risk of Violence,7,Medium,2014-01-11,2014-01-11,2014-01-11,1,0,811,0,0 +5858,juan hidalgo,juan,hidalgo,2013-02-16,Male,1986-08-13,29,25 - 45,Caucasian,0,2,0,0,0,0,2013-02-16 04:44:47,2013-02-17 01:53:27,13003400MM10A,2013-02-16,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-16,Risk of Violence,2,Low,2013-02-16,2013-02-16,2013-02-17,0,1,1140,0,0 +5861,sharon abel,sharon,abel,2013-05-10,Female,1984-06-29,31,25 - 45,Caucasian,0,7,0,0,3,468,2014-08-21 07:22:44,2014-08-22 11:57:12,12018298CF10A,2012-12-15,,146,F,Possession of Cocaine,1,14030804MU10A,(M2),0,2014-08-21,Lve/Scen/Acc/Veh/Prop/Damage,2014-08-21,2014-08-22,,0,,,,,Risk of Recidivism,7,Medium,2013-05-10,Risk of Violence,4,Low,2013-05-10,2014-08-21,2014-08-22,3,0,468,1,1 +5863,stephen maxwell,stephen,maxwell,2013-02-09,Male,1965-09-02,50,Greater than 45,African-American,0,1,0,0,13,0,2013-02-09 05:51:11,2013-10-10 04:40:44,13002025CF10A,2013-02-09,,0,F,Grand Theft in the 3rd Degree,1,13002336CF10A,(F3),,2013-02-13,Fraudulent Use of Credit Card,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-09,Risk of Violence,1,Low,2013-02-09,2013-02-09,2013-10-10,13,0,4,1,1 +5864,jose alfonso,jose,alfonso,2014-05-01,Male,1990-06-05,25,25 - 45,Hispanic,0,5,0,0,2,-1,2014-04-30 12:25:57,2014-05-01 09:58:50,14006008CF10A,2014-04-30,,1,F,Grand Theft in the 3rd Degree,1,14008670CF10A,(F3),14,2014-06-09,Grand Theft in the 3rd Degree,2014-06-23,2014-10-16,,0,,,,,Risk of Recidivism,5,Medium,2014-05-01,Risk of Violence,3,Low,2014-05-01,2015-06-01,2015-06-15,2,0,39,1,1 +5865,james hawkins,james,hawkins,2014-07-07,Male,1984-08-07,31,25 - 45,African-American,0,5,0,0,4,-12,2014-06-25 08:30:12,2014-06-27 08:56:53,12006180CF10A,,2014-06-25,12,F,arrest case no charge,1,15000247MM30A,(M2),68,2015-01-21,Petit Theft,2015-03-30,2015-04-28,,0,,,,,Risk of Recidivism,5,Medium,2014-07-07,Risk of Violence,4,Low,2014-07-07,2015-03-30,2015-04-28,4,0,198,1,1 +5867,kenroy whitley,kenroy,whitley,2013-07-25,Male,1985-01-13,31,25 - 45,Other,0,2,0,0,0,-1,2013-07-24 02:09:40,2013-07-24 07:18:14,13014019MM10A,2013-07-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-25,Risk of Violence,2,Low,2013-07-25,2013-07-24,2013-07-24,0,0,981,0,0 +5869,javier gonzalez,javier,gonzalez,2013-01-30,Male,1989-10-27,26,25 - 45,Caucasian,1,6,0,0,2,-1,2013-01-29 07:52:58,2013-01-30 01:21:46,13001427CF10A,2013-01-29,,1,F,Possession of Cannabis,1,15011956CF10A,(F3),0,2015-09-15,Possession of Cannabis,2015-09-15,2015-09-16,,0,,,,,Risk of Recidivism,6,Medium,2013-01-30,Risk of Violence,8,High,2013-01-30,2015-09-15,2015-09-16,2,0,958,1,0 +5871,david wilkinson,david,wilkinson,2013-09-15,Male,1961-12-12,54,Greater than 45,Caucasian,0,2,0,0,2,0,2013-09-15 01:38:34,2013-12-21 04:45:56,13011098CF10A,,2013-09-15,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-15,Risk of Violence,1,Low,2013-09-15,2013-09-15,2013-12-21,2,97,929,0,0 +5873,eric mobley,eric,mobley,2014-01-19,Male,1982-06-13,33,25 - 45,African-American,0,8,0,0,14,-1,2014-01-18 09:19:00,2014-01-19 08:18:53,14000779CF10A,2014-01-18,,1,F,Possession of Cocaine,1,14005340CF10A,(F7),,2014-04-15,Burglary Structure Assault/Batt,,,,1,14005340CF10A,(F3),2014-04-15,Attempted Robbery No Weapon,Risk of Recidivism,8,High,2014-01-19,Risk of Violence,4,Low,2014-01-19,2014-01-18,2014-01-19,14,0,86,1,1 +5875,daniel campbell,daniel,campbell,2014-04-25,Male,1993-08-19,22,Less than 25,African-American,0,4,0,0,0,-1,2014-04-24 06:44:51,2014-04-25 01:46:53,14006876MM10A,2014-04-24,,1,M,Battery,1,15000418MM20A,(M1),,2015-01-28,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2014-04-25,Risk of Violence,5,Medium,2014-04-25,2014-04-24,2014-04-25,0,0,278,1,1 +5877,joseph pryor,joseph,pryor,2013-03-02,Male,1980-09-19,35,25 - 45,African-American,0,9,1,0,8,0,2013-03-02 02:57:33,2013-10-27 05:59:54,13003145CF10A,2013-03-02,,0,F,Driving While License Revoked,1,16003411CF10A,(F3),1,2016-03-18,,2016-03-19,2016-03-20,,0,,,,,Risk of Recidivism,9,High,2013-03-02,Risk of Violence,8,High,2013-03-02,2013-03-02,2013-10-27,8,239,1112,1,0 +5878,terryann mcdonald,terryann,mcdonald,2013-05-23,Female,1985-12-01,30,25 - 45,Other,0,7,0,0,4,-27,2013-04-26 10:29:09,2013-04-28 05:17:29,11019841CF10A,,2013-05-22,1,F,arrest case no charge,1,14000938CF10A,(F3),0,2014-01-22,Grand Theft in the 3rd Degree,2014-01-22,2014-03-11,,0,,,,,Risk of Recidivism,7,Medium,2013-05-23,Risk of Violence,4,Low,2013-05-23,2014-01-22,2014-03-11,4,0,244,1,1 +5880,addison oliver,addison,oliver,2014-03-26,Male,1990-11-11,25,25 - 45,African-American,0,2,0,0,0,-1,2014-03-25 06:30:51,2014-03-26 01:51:19,14004231CF10A,2014-03-25,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-26,Risk of Violence,3,Low,2014-03-26,2014-03-25,2014-03-26,0,0,737,0,0 +5881,ken delva,ken,delva,2013-02-06,Male,1990-08-01,25,25 - 45,African-American,0,5,0,0,0,0,2013-02-06 03:18:44,2013-02-06 07:56:34,13001863CF10A,2013-02-05,,1,F,"Del 3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-06,Risk of Violence,3,Low,2013-02-06,2013-02-06,2013-02-06,0,0,1150,0,0 +5882,philo little,philo,little,2014-12-03,Male,1971-10-03,44,25 - 45,African-American,0,2,0,0,0,-1,2014-12-02 05:39:53,2014-12-03 01:17:00,14016066CF10A,2014-12-02,,1,F,Possession Of Methamphetamine,1,14016299CF10A,(F3),0,2014-12-08,Possession Of Methamphetamine,2014-12-08,2015-03-12,,0,,,,,Risk of Recidivism,2,Low,2014-12-03,Risk of Violence,1,Low,2014-12-03,2014-12-08,2015-03-12,0,0,5,1,1 +5883,courtney walraven,courtney,walraven,2013-11-02,Female,1986-04-22,29,25 - 45,Caucasian,0,7,0,0,2,-1,2013-11-01 07:45:26,2013-11-10 04:38:57,13015263CF10A,2013-11-01,,1,F,Uttering a Forged Instrument,1,14001286CF10A,(M1),1,2014-01-29,Resist/Obstruct W/O Violence,2014-01-30,2014-09-19,,0,,,,,Risk of Recidivism,7,Medium,2013-11-02,Risk of Violence,4,Low,2013-11-02,2013-11-01,2013-11-10,2,8,88,1,1 +5885,raymond platt,raymond,platt,2014-02-27,Male,1969-08-30,46,Greater than 45,Caucasian,0,3,0,0,2,-23,2014-02-04 04:00:05,2014-02-06 09:39:16,10001021CF10A,,2014-02-04,23,F,arrest case no charge,1,14013174CF10A,(F3),141,2014-06-19,Uttering a Forged Instrument,2014-11-07,2015-05-11,,0,,,,,Risk of Recidivism,3,Low,2014-02-27,Risk of Violence,1,Low,2014-02-27,2016-02-02,2020-01-01,2,0,112,1,1 +5886,glenn bard,glenn,bard,2013-11-04,Male,1963-02-12,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-04 02:03:04,2013-11-08 09:12:49,13020833MM10A,2013-11-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-04,Risk of Violence,1,Low,2013-11-04,2013-11-04,2013-11-08,0,4,879,0,0 +5887,ricky joseph,ricky,joseph,2014-03-15,Male,1991-06-16,24,Less than 25,African-American,0,7,0,0,2,-1,2014-03-14 11:06:46,2014-03-16 09:20:43,14003615CF10A,2014-03-14,,1,F,Driving While License Revoked,1,15013250MM10A,(M2),,2015-12-24,Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-15,Risk of Violence,4,Low,2014-03-15,2014-03-14,2014-03-16,2,1,649,1,1 +5889,aeritta covington,aeritta,covington,2013-11-03,Female,1963-08-01,52,Greater than 45,African-American,0,1,0,0,2,-1,2013-11-02 07:17:29,2013-11-03 09:09:20,13015275CF10A,2013-11-02,,1,F,Possession of Cocaine,1,14000857MM20A,(M2),,2014-03-06,Petit Theft,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-11-03,2,0,123,1,1 +5890,romone gray,romone,gray,2014-11-05,Male,1988-12-16,27,25 - 45,African-American,0,2,0,0,0,-1,2014-11-04 06:55:19,2014-11-05 01:21:26,14015943MM10A,2014-11-04,,1,M,Battery,1,15001316MM40A,(M2),,2015-03-16,Retail/Farm/Fare/Theft,,,,0,,,,,Risk of Recidivism,2,Low,2014-11-05,Risk of Violence,2,Low,2014-11-05,2014-11-04,2014-11-05,0,0,131,1,1 +5891,david gutman,david,gutman,2013-11-03,Male,1974-05-15,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-02 04:53:44,2013-11-03 12:58:20,13015277CF10A,2013-11-02,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-11-03,0,0,880,0,0 +5892,rochelle rochester,rochelle,rochester,2013-07-15,Female,1994-09-15,21,Less than 25,African-American,0,5,0,0,0,-2,2013-07-13 04:16:12,2013-07-14 02:08:39,13009848CF10A,2013-07-13,,2,F,Grand Theft in the 3rd Degree,1,15007859CF10A,(F3),0,2015-06-17,Grand Theft in the 3rd Degree,2015-06-17,2015-06-18,,0,,,,,Risk of Recidivism,5,Medium,2013-07-15,Risk of Violence,6,Medium,2013-07-15,2015-06-17,2015-06-18,0,0,702,1,1 +5895,kevin sasnett,kevin,sasnett,2013-09-27,Male,1992-01-26,24,Less than 25,Caucasian,0,4,0,0,1,0,2013-09-27 04:19:07,2013-09-27 08:59:08,13013610CF10A,2013-09-27,,0,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-27,Risk of Violence,3,Low,2013-09-27,2013-09-27,2013-09-27,1,0,917,0,0 +5896,carlos pastrana,carlos,pastrana,2013-04-01,Male,1977-10-01,38,25 - 45,Caucasian,0,2,0,0,8,-32,2013-02-28 06:48:26,2013-02-28 08:42:31,13003066CF10A,2013-02-28,,32,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-01,Risk of Violence,4,Low,2013-04-01,2014-04-24,2014-12-22,8,0,388,0,0 +5898,luis gonzalez,luis,gonzalez,2013-12-26,Male,1992-05-22,23,Less than 25,Caucasian,0,2,0,0,0,-1,2013-12-25 01:48:57,2013-12-26 01:13:22,13023750MM10A,2013-12-24,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-26,Risk of Violence,4,Low,2013-12-26,2013-12-25,2013-12-26,0,0,827,0,0 +5899,freddy hall,freddy,hall,2013-05-23,Male,1973-12-10,42,25 - 45,African-American,0,1,0,0,0,-1,2013-05-22 01:03:43,2013-05-23 04:44:30,13007324CF10A,2013-05-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-23,Risk of Violence,1,Low,2013-05-23,2013-05-22,2013-05-23,0,0,1044,0,0 +5900,matthew logiudice,matthew,logiudice,2013-09-09,Male,1983-09-10,32,25 - 45,Caucasian,0,5,0,0,4,-47,2013-07-24 08:22:37,2013-07-29 11:10:43,13010358CF10A,2013-07-24,,47,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-09,Risk of Violence,1,Low,2013-09-09,2015-06-30,2015-07-03,4,0,659,0,0 +5901,joshua perez,joshua,perez,2014-04-01,Male,1992-02-25,24,Less than 25,Hispanic,0,7,0,0,3,597,2015-11-19 12:47:48,2015-11-20 06:12:53,14005094MM10A,2014-03-24,,8,M,Battery,1,15005902MM10A,(M1),,2015-05-29,Viol Pretrial Release Dom Viol,,,,1,15012271CF10A,(F3),2015-09-21,Stalking (Aggravated),Risk of Recidivism,7,Medium,2014-04-01,Risk of Violence,8,High,2014-04-01,2015-11-19,2015-11-20,3,0,423,1,1 +5902,shanard twensey,shanard,twensey,2014-03-21,Male,1992-02-05,24,Less than 25,African-American,5,8,0,0,5,-1,2014-03-20 06:41:36,2014-03-21 11:27:47,14003976CF10A,2014-03-20,,1,F,Burglary Conveyance Unoccup,1,15003641CF10A,(F3),0,2015-03-17,Possession of Cocaine,2015-03-17,2015-03-18,,0,,,,,Risk of Recidivism,8,High,2014-03-21,Risk of Violence,9,High,2014-03-21,2015-03-17,2015-03-18,5,0,361,1,1 +5904,kevin edwards,kevin,edwards,2014-09-06,Male,1989-05-17,26,25 - 45,African-American,0,8,0,0,4,-1,2014-09-05 08:38:46,2014-09-06 07:27:15,14012116CF10A,2014-09-05,,1,F,Grand Theft (Motor Vehicle),1,14001553MM30A,(M1),,2014-09-08,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,8,High,2014-09-06,Risk of Violence,4,Low,2014-09-06,2015-08-14,2015-08-15,4,0,2,1,1 +5905,paul demus,paul,demus,2013-04-12,Male,1966-03-03,50,Greater than 45,Caucasian,0,3,0,0,9,-1,2013-04-11 07:29:18,2014-06-10 06:16:41,13005246CF10A,2013-04-11,,1,F,Burglary Structure Unoccup,1,13009890CF10A,(F3),,2013-06-30,Introduce Contraband Into Jail,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,2013-04-11,2014-06-10,9,0,79,1,1 +5906,jerline jean,jerline,jean,2014-03-09,Female,1983-10-30,32,25 - 45,African-American,0,6,0,0,3,-1,2014-03-08 08:03:14,2014-03-09 12:18:14,14003307CF10A,2014-03-08,,1,M,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-09,Risk of Violence,4,Low,2014-03-09,2014-03-08,2014-03-09,3,0,754,0,0 +5907,anthony williams,anthony,williams,2013-09-25,Male,1975-08-20,40,25 - 45,African-American,0,9,0,0,13,-1,2013-09-24 07:30:04,2013-09-25 08:13:07,13013438CF10A,,2013-09-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-25,Risk of Violence,3,Low,2013-09-25,2015-05-13,2015-05-18,13,0,595,0,0 +5908,john wiborg,john,wiborg,2013-07-22,Male,1991-03-11,25,25 - 45,Caucasian,0,2,0,0,1,-81,2013-05-02 09:08:12,2013-05-03 08:12:00,13006321CF10A,2013-05-02,,81,M,Discharge Firearm From Vehicle,1,14002161CF10A,(F3),0,2014-02-15,Possession of Cocaine,2014-02-15,2014-02-15,,0,,,,,Risk of Recidivism,2,Low,2013-07-22,Risk of Violence,3,Low,2013-07-22,2014-02-15,2014-02-15,1,0,208,0,1 +5912,julio esquiagola,julio,esquiagola,2013-05-09,Male,1973-08-13,42,25 - 45,Hispanic,0,1,0,0,1,-118,2013-01-11 01:09:26,2013-05-09 10:55:33,13000335CF10A,,2013-01-10,119,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-09,Risk of Violence,1,Low,2013-05-09,2013-01-11,2013-05-09,1,0,1058,0,0 +5914,donald perdue,donald,perdue,2013-03-28,Male,1989-01-13,27,25 - 45,African-American,0,3,0,0,2,0,2013-03-28 01:22:58,2013-03-28 08:31:54,13004446CF10A,2013-03-27,,1,F,Lease For Purpose Trafficking,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-28,Risk of Violence,4,Low,2013-03-28,2015-03-17,2015-03-17,2,0,719,0,0 +5915,abrahiem darwish,abrahiem,darwish,2013-12-02,Male,1993-02-01,23,Less than 25,Caucasian,0,9,0,0,0,-1,2013-12-01 11:49:20,2013-12-02 09:10:03,13016629CF10A,2013-12-01,,1,F,Possession Of Alprazolam,1,15002826MM40A,(M2),,2015-07-03,Petit Theft,,,,0,,,,,Risk of Recidivism,9,High,2013-12-02,Risk of Violence,5,Medium,2013-12-02,2013-12-01,2013-12-02,0,0,578,1,1 +5916,devin cooper,devin,cooper,2014-10-17,Male,1978-11-01,37,25 - 45,African-American,0,9,0,0,22,-1,2014-10-16 09:28:47,2014-10-18 03:05:15,14004200MM10A,,2014-08-17,61,M,arrest case no charge,1,15001940MM40A,(M1),57,2015-02-15,Possess Cannabis/20 Grams Or Less,2015-04-13,2015-06-24,,0,,,,,Risk of Recidivism,9,High,2014-10-17,Risk of Violence,4,Low,2014-10-17,2014-10-16,2014-10-18,22,1,121,1,1 +5917,clifford proctor,clifford,proctor,2013-04-07,Male,1983-12-16,32,25 - 45,African-American,0,4,0,0,1,-1,2013-04-06 05:35:58,2013-04-10 05:02:49,13006617MM10A,2013-04-06,,1,M,DUI Blood Alcohol Above 0.20,1,13012009CF10A,(F1),1,2013-08-24,Home Invasion Robbery,2013-08-25,2013-10-22,,1,13012009CF10A,(F1),2013-08-24,Home Invasion Robbery,Risk of Recidivism,4,Low,2013-04-07,Risk of Violence,2,Low,2013-04-07,2013-04-06,2013-04-10,1,3,139,1,1 +5918,gregory polynice,gregory,polynice,2014-07-17,Male,1978-01-06,38,25 - 45,African-American,0,7,0,0,2,43,2014-08-29 09:49:28,2014-09-05 02:03:17,13004858MM10A,,2014-05-12,66,M,arrest case no charge,1,15003672MM10A,(M1),0,2015-03-29,Resist/Obstruct W/O Violence,2015-03-29,2015-04-21,,1,15003672MM10A,(M1),2015-03-29,Battery,Risk of Recidivism,7,Medium,2014-07-17,Risk of Violence,4,Low,2014-07-17,2014-08-29,2014-09-05,2,0,43,0,1 +5921,eric conser,eric,conser,2013-03-24,Male,1964-01-09,52,Greater than 45,Caucasian,0,3,0,0,4,-1,2013-03-23 08:58:45,2013-03-25 01:25:28,13005700MM10A,2013-03-23,,1,M,Viol Prot Injunc Repeat Viol,1,13012756MO10A,(MO3),0,2013-07-04,Trespass,2013-07-04,2013-07-05,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,2,Low,2013-03-24,2013-07-04,2013-07-05,4,1,102,1,1 +5923,jesus valencia,jesus,valencia,2013-08-19,Male,1986-07-26,29,25 - 45,Caucasian,0,2,0,0,2,-1,2013-08-18 08:19:55,2013-08-22 03:45:12,13011580CF10A,2013-08-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-19,Risk of Violence,3,Low,2013-08-19,2013-08-18,2013-08-22,2,3,956,0,0 +5924,marckenson demard,marckenson,demard,2013-08-13,Male,1987-10-06,28,25 - 45,African-American,0,3,0,0,7,,,,12018329CF10A,2012-12-17,,239,M,Resist/Obstruct W/O Violence,1,14013814CF10A,(F3),,2014-09-20,Battery on Law Enforc Officer,,,,1,14013814CF10A,(F3),2014-09-20,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,,,7,0,403,1,1 +5926,evens pericles,evens,pericles,2013-01-03,Male,1966-10-13,49,Greater than 45,African-American,0,1,0,0,0,0,2013-01-03 02:58:10,2013-01-03 07:35:13,13000196MM10A,2013-01-03,,0,M,Poss Of RX Without RX,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-03,2013-01-03,0,0,1184,0,0 +5928,jeremy joyce,jeremy,joyce,2014-02-04,Male,1965-08-03,50,Greater than 45,Caucasian,0,1,0,0,0,-2,2014-02-02 05:06:04,2014-02-04 12:04:14,14001463CF10A,2014-02-02,,2,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-02,2014-02-04,0,0,787,0,0 +5929,oscar lizano,oscar,lizano,2013-10-23,Male,1989-12-26,26,25 - 45,Caucasian,0,2,0,0,2,0,2013-10-23 12:29:56,2013-10-23 08:21:02,13014765CF10A,2013-10-22,,1,F,Agg Assault W/int Com Fel Dome,1,14028599TC30A,(M2),,2014-03-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-23,Risk of Violence,3,Low,2013-10-23,2013-10-23,2013-10-23,2,0,145,1,1 +5930,melissa pento,melissa,pento,2014-12-31,Female,1982-04-08,34,25 - 45,Caucasian,0,8,0,0,0,-1,2014-12-30 04:58:29,2015-01-30 10:55:23,14017201CF10A,2014-12-30,,1,F,Poss Pyrrolidinovalerophenone,1,15008490CF10A,(F3),,2015-07-02,Poss Pyrrolidinovalerophenone,,,,0,,,,,Risk of Recidivism,8,High,2014-12-31,Risk of Violence,2,Low,2014-12-31,2014-12-30,2015-01-30,0,30,183,1,1 +5931,kristina cowley,kristina,cowley,2013-02-02,Female,1987-08-04,28,25 - 45,Caucasian,0,7,0,0,1,-1,2013-02-01 10:36:23,2013-02-11 06:46:31,11000338CF10A,,2013-02-01,1,F,arrest case no charge,1,15002806CF10A,(F3),0,2015-03-01,Grand Theft in the 3rd Degree,2015-03-01,2015-03-02,,0,,,,,Risk of Recidivism,7,Medium,2013-02-02,Risk of Violence,3,Low,2013-02-02,2015-03-01,2015-03-02,1,9,757,1,0 +5932,michael septak,michael,septak,2013-12-02,Male,1979-12-19,36,25 - 45,Caucasian,0,8,0,0,4,74,2014-02-14 11:41:24,2014-03-24 05:30:25,13009070CF10A,2013-06-27,,158,F,Fraudulent Use of Credit Card,1,14011636MM10A,(M1),115,2014-05-14,Petit Theft $100- $300,2014-09-06,2014-10-07,,0,,,,,Risk of Recidivism,8,High,2013-12-02,Risk of Violence,2,Low,2013-12-02,2014-02-14,2014-03-24,4,0,74,0,1 +5933,travis washington,travis,washington,2013-09-20,Male,1970-05-27,45,Greater than 45,African-American,0,2,0,0,1,-48,2013-08-03 02:20:36,2013-09-19 08:44:47,13010878CF10A,2013-08-02,,49,F,Aggravated Assault W/Dead Weap,1,14010539MO10A,(MO3),0,2014-07-09,Trespass,2014-07-09,2014-09-01,,0,,,,,Risk of Recidivism,2,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2014-01-15,2014-01-21,1,0,117,0,1 +5934,kelvin solomon,kelvin,solomon,2013-03-12,Male,1985-12-11,30,25 - 45,African-American,0,3,0,0,0,0,2013-03-12 02:19:58,2013-03-12 06:58:41,13003642CF10A,2013-03-12,,0,F,Felony Driving While Lic Suspd,1,13003229MM40A,(M1),347,2013-08-09,Petit Theft $100- $300,2014-07-22,2014-07-25,,0,,,,,Risk of Recidivism,3,Low,2013-03-12,Risk of Violence,2,Low,2013-03-12,2014-07-22,2014-07-25,0,0,150,1,1 +5935,keith irvin,keith,irvin,2014-02-19,Male,1992-03-01,24,Less than 25,African-American,0,4,0,0,3,-1,2014-02-18 04:57:30,2014-02-20 02:25:00,14002295CF10A,2014-02-18,,1,F,Burglary Conveyance Unoccup,1,14014451CF10A,(M2),0,2014-10-27,Petit Theft,2014-10-27,2014-12-24,,0,,,,,Risk of Recidivism,4,Low,2014-02-19,Risk of Violence,4,Low,2014-02-19,2014-10-27,2014-12-24,3,1,250,1,1 +5937,jason robertson,jason,robertson,2014-12-10,Male,1990-11-13,25,25 - 45,African-American,0,2,0,0,0,0,2014-12-10 01:56:11,2014-12-10 08:00:57,14017410MM10A,2014-12-10,,0,M,Battery,1,15008143CF10A,(F1),-1,2015-06-23,Robbery W/Firearm,2015-06-22,2015-08-07,,1,15008143CF10A,(F3),2015-06-23,Aggravated Assault w/Firearm,Risk of Recidivism,2,Low,2014-12-10,Risk of Violence,3,Low,2014-12-10,2015-06-22,2015-08-07,0,0,195,1,1 +5938,fernando walker,fernando,walker,2014-11-19,Male,1990-12-29,25,25 - 45,African-American,0,3,0,0,4,-1,2014-11-18 07:32:19,2014-11-27 08:30:00,14016533MM10A,2014-11-18,,1,M,Battery,1,15009401MM10A,(M1),0,2015-09-04,Battery,2015-09-04,2015-09-05,,1,15009401MM10A,(M1),2015-09-04,Battery,Risk of Recidivism,3,Low,2014-11-19,Risk of Violence,3,Low,2014-11-19,2015-09-04,2015-09-05,4,8,289,1,1 +5939,robert crot,robert,crot,2013-02-25,Male,1971-01-10,45,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-02-24 11:48:29,2013-02-25 06:52:51,13002841CF10A,2013-02-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-02-24,2013-02-25,2,0,1131,0,0 +5942,nathaniel carry,nathaniel,carry,2014-03-18,Male,1989-11-04,26,25 - 45,Caucasian,0,7,0,0,1,-1,2014-03-17 01:03:27,2014-03-20 01:49:06,14003775CF10A,2014-03-17,,1,F,Poss Pyrrolidinovalerophenone,1,14015035CF10A,(F3),0,2014-11-09,Possession Of Alprazolam,2014-11-09,2014-12-29,,0,,,,,Risk of Recidivism,7,Medium,2014-03-18,Risk of Violence,6,Medium,2014-03-18,2014-08-05,2014-08-23,1,2,140,0,1 +5943,julian bastian,julian,bastian,2013-03-18,Male,1979-02-10,37,25 - 45,Other,0,1,0,0,2,-1,2013-03-17 11:28:06,2013-04-15 11:25:52,13003879CF10A,2013-03-17,,1,F,Lewd/Lasciv Molest Elder Persn,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-17,2013-04-15,2,28,1110,0,0 +5946,alexandro castro,alexandro,castro,2014-03-22,Male,1991-09-05,24,Less than 25,Hispanic,0,2,0,0,0,-1,2014-03-21 09:50:03,2014-03-23 09:11:20,14004982MM10A,2014-03-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-22,Risk of Violence,3,Low,2014-03-22,2014-03-21,2014-03-23,0,1,741,0,0 +5947,carmine dagnell,carmine,dagnell,2013-03-23,Male,1975-09-17,40,25 - 45,Caucasian,0,1,0,0,2,-1,2013-03-22 11:22:26,2013-03-24 05:59:53,05020781MM10A,,2013-03-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-23,Risk of Violence,1,Low,2013-03-23,2013-03-22,2013-03-24,2,1,1105,0,0 +5948,gary schwab,gary,schwab,2013-01-02,Male,1955-10-01,60,Greater than 45,Caucasian,0,1,0,0,1,,,,12025273MM10A,2012-12-11,,22,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,,,1,0,1185,0,0 +5951,lizzethe rivas,lizzethe,rivas,2013-06-04,Female,1983-01-26,33,25 - 45,Hispanic,0,2,0,0,0,-2,2013-06-02 04:46:03,2013-06-03 02:11:03,13007822CF10A,2013-06-02,,2,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-04,Risk of Violence,1,Low,2013-06-04,2013-06-02,2013-06-03,0,0,1032,0,0 +5952,jerry boston,jerry,boston,2013-03-06,Male,1984-06-09,31,25 - 45,African-American,0,9,0,1,6,,,,10001656CF10A,,2010-03-22,1080,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-06,Risk of Violence,8,High,2013-03-06,,,6,0,1122,0,0 +5953,rolando pena,rolando,pena,2013-09-06,Male,1962-12-23,53,Greater than 45,Hispanic,0,2,0,0,18,0,2013-09-06 03:05:03,2013-09-07 05:14:11,13012609CF10A,,2013-09-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-06,2013-09-07,18,1,938,0,0 +5954,jose ramos-otero,jose,ramos-otero,2014-03-26,Male,1960-10-15,55,Greater than 45,Hispanic,0,1,0,0,0,-7,2014-03-19 11:32:30,2014-03-25 06:06:45,14004794MM10A,2014-03-19,,7,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2014-03-19,2014-03-25,0,0,737,0,0 +5955,george joseph,george,joseph,2014-03-26,Male,1979-08-15,36,25 - 45,Caucasian,0,6,0,0,4,,,,12025593MM10A,2012-12-16,,465,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-26,Risk of Violence,4,Low,2014-03-26,2008-04-22,2009-02-01,4,0,737,0,0 +5957,jean joseph,jean,joseph,2013-10-25,Male,1986-02-23,30,25 - 45,Other,0,9,0,0,6,-1,2013-10-24 07:05:58,2013-11-11 02:16:33,13014877CF10A,2013-10-24,,1,F,Aggravated Assault W/Dead Weap,1,14000195MM10A,(M1),0,2014-01-05,Battery,2014-01-05,2014-02-04,,1,14000195MM10A,(M1),2014-01-05,Battery,Risk of Recidivism,9,High,2013-10-25,Risk of Violence,7,Medium,2013-10-25,2014-01-05,2014-02-04,6,17,72,1,1 +5958,alonzo coleman,alonzo,coleman,2014-07-31,Male,1994-07-15,21,Less than 25,African-American,0,7,0,0,1,-15,2014-07-16 07:00:01,2014-07-31 11:36:22,14009798CF10A,,2014-07-16,15,F,arrest case no charge,1,15013132CF10A,(M2),0,2015-10-10,Operating W/O Valid License,2015-10-10,2015-11-25,,0,,,,,Risk of Recidivism,7,Medium,2014-07-31,Risk of Violence,8,High,2014-07-31,2014-08-29,2015-01-10,1,0,29,0,1 +5960,ginge brien,ginge,brien,2013-12-07,Male,1960-06-05,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-06 11:16:06,2013-12-07 07:45:33,13022640MM10A,2013-12-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-07,Risk of Violence,1,Low,2013-12-07,2013-12-06,2013-12-07,0,0,846,0,0 +5963,kristine fialkowsky,kristine,fialkowsky,2013-02-16,Male,1993-05-04,22,Less than 25,Caucasian,0,3,0,0,1,-1,2013-02-15 11:39:43,2013-02-16 01:26:38,13002358CF10A,,2013-02-15,1,F,arrest case no charge,1,13003832CF10A,(F3),19,2013-02-25,False Ownership Info/Pawn Item,2013-03-16,2013-04-23,,0,,,,,Risk of Recidivism,3,Low,2013-02-16,Risk of Violence,5,Medium,2013-02-16,2015-04-08,2015-04-09,1,0,9,1,1 +5964,crystal sylvester,crystal,sylvester,2013-03-05,Female,1993-02-14,23,Less than 25,African-American,0,3,0,0,1,-6,2013-02-27 09:17:36,2013-02-28 07:44:18,13002979CF10A,,2013-02-27,6,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-05,Risk of Violence,4,Low,2013-03-05,2013-02-27,2013-02-28,1,0,1123,0,0 +5965,celen martinicorena,celen,martinicorena,2013-07-25,Female,1991-07-25,24,Less than 25,Caucasian,0,8,0,1,7,-125,2013-03-22 01:33:03,2013-07-25 10:59:51,13008342MM10A,,2013-06-17,38,M,arrest case no charge,1,13049486TC10A,(M2),0,2013-12-30,Susp Drivers Lic 1st Offense,2013-12-30,2013-12-31,,0,,,,,Risk of Recidivism,8,High,2013-07-25,Risk of Violence,7,Medium,2013-07-25,2013-12-30,2013-12-31,7,0,158,1,1 +5967,attilla kennedy,attilla,kennedy,2013-04-02,Female,1976-03-06,40,25 - 45,African-American,0,10,0,0,13,752,2015-04-24 12:13:42,2015-08-10 11:42:44,12016990CF10A,2012-11-20,,133,F,Possession of Cocaine,1,13006385CF10A,(F3),,2013-05-03,Possession of Cocaine,,,,1,15005350CF10A,(F3),2015-04-23,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2013-04-02,Risk of Violence,9,High,2013-04-02,2016-01-24,2016-02-20,13,0,31,1,1 +5968,joseph wain,joseph,wain,2014-02-12,Male,1959-03-16,57,Greater than 45,Caucasian,0,4,0,0,9,-1,2014-02-11 12:56:17,2014-04-11 03:35:53,14001922CF10A,2014-02-11,,1,F,Possession of Cocaine,1,14011842MM10A,(M1),0,2014-08-05,Trespass Other Struct/Convey,2014-08-05,2014-10-14,,0,,,,,Risk of Recidivism,4,Low,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-08-05,2014-10-14,9,58,174,1,1 +5969,justin owen,justin,owen,2013-09-30,Male,1982-07-29,33,25 - 45,Caucasian,0,3,0,0,0,-2,2013-09-28 05:27:03,2013-09-29 02:36:28,13018478MM10A,2013-09-28,,2,M,Carrying A Concealed Weapon,1,15015043MU10A,(M1),0,2015-05-18,Possess Drug Paraphernalia,2015-05-18,2015-05-22,,0,,,,,Risk of Recidivism,3,Low,2013-09-30,Risk of Violence,2,Low,2013-09-30,2015-05-18,2015-05-22,0,0,595,1,1 +5970,luis molina,luis,molina,2013-05-29,Male,1983-11-06,32,25 - 45,Caucasian,0,1,0,0,2,0,2013-05-29 04:36:00,2013-05-30 04:49:03,13007646CF10A,2013-05-29,,0,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-10-14,2013-10-15,2,1,138,0,0 +5971,jason ankney,jason,ankney,2013-09-09,Male,1969-02-06,47,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-09-08 01:42:14,2013-09-21 04:20:31,12018532CF10A,,2013-09-08,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2014-04-21,2014-06-17,3,12,224,0,0 +5973,brian dunn,brian,dunn,2013-06-27,Male,1964-06-14,51,Greater than 45,Caucasian,0,1,0,0,6,11,2013-07-08 12:32:59,2013-07-27 02:06:07,13010072MM10A,2013-05-25,,33,M,Viol Injunct Domestic Violence,1,13014159CF10A,(F3),0,2013-10-09,Use Computer for Child Exploit,2013-10-09,2014-11-26,,0,,,,,Risk of Recidivism,1,Low,2013-06-27,Risk of Violence,1,Low,2013-06-27,2013-07-08,2013-07-27,6,0,11,0,1 +5974,kionte martin,kionte,martin,2013-08-09,Male,1993-08-14,22,Less than 25,African-American,0,6,1,0,1,-1,2013-08-08 01:54:57,2013-08-09 08:15:00,13011146CF10A,2013-08-08,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-09,Risk of Violence,7,Medium,2013-08-09,2013-08-08,2013-08-09,1,0,966,0,0 +5975,bernardo camejo,bernardo,camejo,2014-02-20,Male,1968-08-09,47,Greater than 45,Caucasian,0,1,0,0,2,-1,2014-02-19 05:36:32,2014-02-21 04:14:33,14002337CF10A,2014-02-19,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-20,Risk of Violence,2,Low,2014-02-20,2014-02-19,2014-02-21,2,1,771,0,0 +5976,brandon weiner,brandon,weiner,2014-03-20,Male,1988-02-04,28,25 - 45,Caucasian,0,1,0,0,1,-21,2014-02-27 01:06:00,2014-02-27 01:18:34,14002736CF10A,2014-02-26,,22,F,Possession of Cocaine,1,15001687MM10A,(M1),0,2015-02-10,Petit Theft $100- $300,2015-02-10,2015-02-11,,0,,,,,Risk of Recidivism,1,Low,2014-03-20,Risk of Violence,2,Low,2014-03-20,2015-02-10,2015-02-11,1,0,327,1,1 +5977,jeffrey dorval,jeffrey,dorval,2014-12-04,Male,1995-03-24,21,Less than 25,African-American,0,10,0,1,1,117,2015-03-31 04:00:51,2015-05-12 02:32:00,14016114CF10A,2014-12-03,,1,F,Burglary Conveyance Unoccup,1,15007997CF10A,(M1),1,2015-06-19,Resist/Obstruct W/O Violence,2015-06-20,2015-06-23,,0,,,,,Risk of Recidivism,10,High,2014-12-04,Risk of Violence,9,High,2014-12-04,2015-03-31,2015-05-12,1,0,117,0,1 +5978,tyrone baptiste,tyrone,baptiste,2013-08-10,Male,1988-03-12,28,25 - 45,African-American,0,8,0,0,5,-1,2013-08-09 10:07:19,2013-09-13 07:58:19,13011203CF10A,2013-08-08,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-10,Risk of Violence,4,Low,2013-08-10,2013-11-26,2014-02-27,5,34,108,0,0 +5981,yvette paret,yvette,paret,2014-06-03,Female,1971-05-19,44,25 - 45,Caucasian,0,1,0,0,1,0,2014-06-03 01:15:13,2014-06-09 09:06:56,14008758MM10A,2014-06-02,,1,M,Battery,1,15021726MU10A,(M2),0,2015-07-25,Lve/Scen/Acc/Veh/Prop/Damage,2015-07-25,2015-07-26,,0,,,,,Risk of Recidivism,1,Low,2014-06-03,Risk of Violence,1,Low,2014-06-03,2015-07-25,2015-07-26,1,6,417,1,1 +5982,michael sutton,michael,sutton,2013-05-08,Male,1990-05-15,25,25 - 45,African-American,0,4,0,0,0,0,2013-05-08 12:23:25,2013-05-11 04:23:41,13006529CF10A,2013-05-07,,1,F,Felony Battery (Dom Strang),1,14059679TC20A,(M2),,2014-08-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-08,Risk of Violence,3,Low,2013-05-08,2013-05-08,2013-05-11,0,3,458,1,1 +5984,william neal,william,neal,2014-02-12,Male,1981-07-23,34,25 - 45,African-American,0,2,0,0,4,-1,2014-02-11 09:02:44,2014-02-12 08:26:32,14002367MM10A,2014-02-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-02-11,2014-02-12,4,0,779,0,0 +5985,robert diers,robert,diers,2013-02-22,Male,1951-03-30,65,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-22 04:53:05,2013-02-23 04:06:29,13003749MM10A,2013-02-22,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-03-15,2013-04-07,0,1,21,0,0 +5987,christopher harwood,christopher,harwood,2013-02-05,Male,1982-06-16,33,25 - 45,Caucasian,0,6,0,0,5,0,2013-02-05 02:32:29,2013-06-04 09:05:37,13001764CF10A,2013-02-04,,1,F,Driving While License Revoked,1,14057265TC30A,(M2),,2014-07-06,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-05,Risk of Violence,6,Medium,2013-02-05,2013-02-05,2013-06-04,5,119,516,1,1 +5988,marialys hollmann,marialys,hollmann,2013-03-24,Female,1992-07-29,23,Less than 25,Caucasian,0,3,0,0,0,-1,2013-03-23 09:45:20,2013-03-24 06:30:07,13005714MM10A,2013-03-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,3,Low,2013-03-24,2013-03-23,2013-03-24,0,0,1104,0,0 +5989,maggi allaire,maggi,allaire,2014-01-27,Female,1971-07-01,44,25 - 45,Caucasian,0,1,0,0,0,-2,2014-01-25 02:52:12,2014-01-26 02:01:51,14001425MM10A,2014-01-25,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-25,2014-01-26,0,0,795,0,0 +5990,zamir villeda,zamir,villeda,2013-03-06,Male,1994-09-10,21,Less than 25,Hispanic,1,8,0,0,1,88,2013-06-02 03:07:52,2014-11-11 05:11:05,12002996CF10A,,2012-04-19,321,F,arrest case no charge,1,13007811CF10A,(F3),1,2013-06-01,Resist Officer w/Violence,2013-06-02,2014-11-11,,1,13007811CF10A,(F3),2013-06-01,Battery on Law Enforc Officer,Risk of Recidivism,8,High,2013-03-06,Risk of Violence,9,High,2013-03-06,2015-06-30,2015-08-08,1,0,87,1,1 +5992,donnell george,donnell,george,2013-01-22,Male,1991-08-16,24,Less than 25,African-American,0,3,0,0,1,-1,2013-01-21 11:07:10,2013-01-22 01:58:45,13001429MM10A,2013-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,5,Medium,2013-01-22,2013-01-21,2013-01-22,1,0,1165,0,0 +5993,edward dulom,edward,dulom,2013-12-01,Male,1964-09-30,51,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-11-30 06:59:05,2013-12-01 12:41:20,13022330MM10A,2013-11-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,2013-11-30,2013-12-01,1,0,852,0,0 +5994,myesha jeff,myesha,jeff,2013-04-21,Female,1995-03-23,21,Less than 25,African-American,0,8,0,0,0,-1,2013-04-20 11:44:52,2013-04-22 06:49:06,13005665CF10A,2013-04-20,,1,F,Battery on Law Enforc Officer,1,14008360MM10A,(M2),0,2014-05-24,Trespass Struct/Conveyance,2014-05-24,2014-05-25,,0,,,,,Risk of Recidivism,8,High,2013-04-21,Risk of Violence,7,Medium,2013-04-21,2014-05-24,2014-05-25,0,1,398,1,1 +5995,joshua drew,joshua,drew,2013-09-17,Male,1977-04-16,39,25 - 45,Caucasian,0,6,0,0,6,-1,2013-09-16 04:22:28,2013-09-17 01:52:57,13011664CF10A,,2013-09-16,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-17,Risk of Violence,2,Low,2013-09-17,2013-09-16,2013-09-17,6,0,927,0,0 +5996,lecharles coakley,lecharles,coakley,2014-10-07,Male,1987-03-12,29,25 - 45,African-American,0,8,0,0,29,-1,2014-10-06 07:50:51,2014-10-11 08:37:47,14013479CF10A,2014-10-06,,1,F,Poss Contr Subst W/o Prescript,1,14013735CF10A,(F3),0,2014-10-11,Possession of Cocaine,2014-10-11,2014-12-18,,0,,,,,Risk of Recidivism,8,High,2014-10-07,Risk of Violence,9,High,2014-10-07,2014-10-11,2014-12-18,29,4,4,1,1 +5997,jedidiah rocha,jedidiah,rocha,2013-12-03,Male,1991-07-14,24,Less than 25,Caucasian,0,6,0,0,1,-5,2013-11-28 09:36:08,2013-11-29 01:37:48,13016555CF10A,2013-11-28,,5,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-03,Risk of Violence,4,Low,2013-12-03,2013-11-28,2013-11-29,1,0,850,0,0 +6000,tavia johnson,tavia,johnson,2013-01-11,Female,1992-10-07,23,Less than 25,African-American,0,5,0,0,0,-1,2013-01-10 05:54:58,2013-01-12 12:41:14,13000433CF10A,2013-01-10,,1,F,Possession Burglary Tools,1,14002851MM10A,(M1),,2013-12-17,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-11,Risk of Violence,5,Medium,2013-01-11,2013-01-10,2013-01-12,0,1,340,1,1 +6001,james baker,james,baker,2014-08-27,Male,1984-07-03,31,25 - 45,African-American,0,10,0,2,11,0,2014-08-27 12:36:35,2014-08-27 01:58:47,14011706CF10A,2014-08-26,,1,F,Poss Pyrrolidinovalerophenone,1,15009531MM10A,(M1),0,2015-09-08,Possess Cannabis/20 Grams Or Less,2015-09-08,2015-09-09,,1,15002947MM20A,(M1),2015-11-15,Battery,Risk of Recidivism,10,High,2014-08-27,Risk of Violence,7,Medium,2014-08-27,2015-09-08,2015-09-09,11,0,377,1,1 +6002,sabrina day,sabrina,day,2013-12-23,Female,1980-10-31,35,25 - 45,African-American,0,2,0,0,0,-1,2013-12-22 07:28:40,2013-12-23 01:00:39,13023599MM10A,2013-12-22,,1,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-22,2013-12-23,0,0,830,0,0 +6004,wisler vilcant,wisler,vilcant,2013-12-07,Male,1985-08-24,30,25 - 45,Other,0,1,0,0,0,-1,2013-12-06 07:43:48,2013-12-07 05:08:06,13016901CF10A,2013-12-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-07,Risk of Violence,1,Low,2013-12-07,2013-12-06,2013-12-07,0,0,846,0,0 +6005,john ballew,john,ballew,2013-10-31,Male,1981-10-21,34,25 - 45,Caucasian,0,7,0,0,8,-104,2013-07-19 07:56:06,2013-09-26 10:15:00,13010142CF10A,2013-07-19,,104,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-31,Risk of Violence,4,Low,2013-10-31,2015-11-05,2015-11-06,8,0,735,0,0 +6006,chaneka pace,chaneka,pace,2013-08-05,Female,1976-05-26,39,25 - 45,African-American,0,6,0,0,4,-3,2013-08-02 05:56:52,2013-08-05 11:16:27,13010929CF10A,2013-08-02,,3,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-05,Risk of Violence,1,Low,2013-08-05,2015-07-06,2015-07-07,4,0,700,0,0 +6009,robens joseph,robens,joseph,2013-10-21,Male,1986-09-19,29,25 - 45,African-American,0,2,0,0,6,702,2015-09-23 05:41:57,2015-09-28 07:54:58,13011806CF10A,2013-08-22,,60,M,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-21,Risk of Violence,2,Low,2013-10-21,2015-09-23,2015-09-28,6,0,702,0,0 +6010,noel medina,noel,medina,2013-10-06,Male,1965-03-25,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-05 03:53:47,2013-10-06 08:40:20,13018938MM10A,2013-10-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-06,Risk of Violence,1,Low,2013-10-06,2013-10-05,2013-10-06,0,0,908,0,0 +6011,richard hough,richard,hough,2013-05-16,Male,1993-09-09,22,Less than 25,Caucasian,0,7,0,1,1,-1,2013-05-15 10:31:31,2014-01-07 05:52:28,13006949CF10A,,2013-05-12,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-16,Risk of Violence,5,Medium,2013-05-16,2013-05-15,2014-01-07,1,236,1051,0,0 +6013,rachel gonzales,rachel,gonzales,2013-11-08,Male,1986-09-05,29,25 - 45,Caucasian,0,2,0,0,2,-24,2013-10-15 09:16:10,2013-11-07 08:56:00,13014430CF10A,,2013-10-15,24,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-08,Risk of Violence,3,Low,2013-11-08,2013-10-15,2013-11-07,2,0,875,0,0 +6014,timothy castellano,timothy,castellano,2014-04-09,Male,1980-11-19,35,25 - 45,Caucasian,0,8,0,0,8,-259,2013-07-24 09:11:27,2014-04-02 12:43:51,12005047CF10A,,2013-07-24,259,F,arrest case no charge,1,16000763MM10A,(M2),0,2016-01-09,Prowling/Loitering,2016-01-09,2016-02-02,,0,,,,,Risk of Recidivism,8,High,2014-04-09,Risk of Violence,4,Low,2014-04-09,2016-01-09,2016-02-02,8,0,640,1,1 +6019,artie pine,artie,pine,2013-02-19,Male,1983-05-13,32,25 - 45,Caucasian,0,2,0,0,6,-1,2013-02-18 11:11:06,2013-02-21 06:11:47,13002485CF10A,2013-02-18,,1,F,Attempted Burg/Convey/Unocc,1,13006170CF10A,(F3),42,2013-04-12,Grand Theft In The 3Rd Degree,2013-05-24,2014-01-19,,0,,,,,Risk of Recidivism,2,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-18,2013-02-21,6,2,52,1,1 +6021,lee ferrell,lee,ferrell,2013-03-19,Male,1983-04-09,33,25 - 45,Caucasian,0,4,0,0,3,-16,2013-03-03 11:33:17,2013-03-15 06:19:23,13004319MM10A,2013-03-03,,16,M,Battery,1,13010984CF10A,(F3),,2013-06-07,Felony Battery w/Prior Convict,,,,1,13010984CF10A,(F3),2013-06-07,Felony Battery w/Prior Convict,Risk of Recidivism,4,Low,2013-03-19,Risk of Violence,3,Low,2013-03-19,2015-09-23,2015-10-15,3,0,80,1,1 +6022,daniel buchner,daniel,buchner,2014-03-09,Male,1958-02-02,58,Greater than 45,Caucasian,0,3,0,0,5,-1,2014-03-08 04:26:56,2014-03-09 09:55:00,14003306CF10A,2014-03-08,,1,F,Grand Theft in the 3rd Degree,1,14004494CF10A,(F3),0,2014-03-31,Grand Theft in the 3rd Degree,2014-03-31,2015-05-19,,0,,,,,Risk of Recidivism,3,Low,2014-03-09,Risk of Violence,1,Low,2014-03-09,2014-03-31,2015-05-19,5,0,22,1,1 +6023,brunel petit-frere,brunel,petit-frere,2013-02-21,Male,1962-02-09,54,Greater than 45,Other,0,1,0,0,0,-1,2013-02-20 08:56:34,2013-03-20 07:19:46,13002614CF10A,2013-02-20,,1,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-20,2013-03-20,0,27,1135,0,0 +6024,andrew ivy,andrew,ivy,2014-03-05,Male,1985-06-28,30,25 - 45,African-American,0,2,0,0,3,-166,2013-09-20 03:50:32,2013-09-21 04:35:03,13014777CF10A,2013-09-20,,166,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-05,Risk of Violence,2,Low,2014-03-05,2015-06-25,2015-07-06,3,0,477,0,0 +6027,matias williams,matias,williams,2013-05-09,Male,1982-09-08,33,25 - 45,African-American,0,9,0,0,2,-1,2013-05-08 01:33:45,2013-06-05 09:48:02,13006604CF10A,2013-05-04,,5,F,Robbery W/Firearm,1,15006825MM10A,(M2),0,2015-06-03,Trespass Struct/Conveyance,2015-06-03,2015-07-03,,0,,,,,Risk of Recidivism,9,High,2013-05-09,Risk of Violence,5,Medium,2013-05-09,2015-06-03,2015-07-03,2,27,755,1,1 +6029,kimoy campbell,kimoy,campbell,2013-03-06,Male,1991-08-19,24,Less than 25,African-American,0,3,0,0,0,63,2013-05-08 02:09:24,2013-05-18 02:09:40,13003362CF10A,2013-03-05,,1,F,Grand Theft in the 3rd Degree,1,13006568CF10A,(F3),0,2013-05-08,Grand Theft in the 3rd Degree,2013-05-08,2013-05-18,,0,,,,,Risk of Recidivism,3,Low,2013-03-06,Risk of Violence,5,Medium,2013-03-06,2013-05-08,2013-05-18,0,0,63,1,1 +6030,jean valcourt,jean,valcourt,2013-10-01,Male,1968-03-19,48,Greater than 45,African-American,0,4,0,0,10,0,2013-10-01 05:10:48,2014-03-25 08:17:12,13013771CF10A,2013-10-01,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-10-01,2014-03-25,10,175,913,0,0 +6032,david walters,david,walters,2013-11-24,Male,1992-10-11,23,Less than 25,African-American,0,8,0,0,0,-1,2013-11-23 05:23:08,2013-11-26 09:28:08,13022026MM10A,2013-11-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-24,Risk of Violence,7,Medium,2013-11-24,2013-11-23,2013-11-26,0,2,859,0,0 +6034,louis tieso,louis,tieso,2013-09-19,Male,1993-04-09,23,Less than 25,Caucasian,0,7,0,0,2,-1,2013-09-18 08:45:23,2013-10-03 12:14:36,13013179CF10A,2013-09-18,,1,F,Grand Theft in the 3rd Degree,1,14016785CF10A,(M2),1,2014-12-18,Lve/Scen/Acc/Veh/Prop/Damage,2014-12-19,2015-01-29,,1,15003343CF10A,(F1),2015-03-12,Robbery W/Firearm,Risk of Recidivism,7,Medium,2013-09-19,Risk of Violence,6,Medium,2013-09-19,2013-10-17,2013-10-18,2,14,28,0,1 +6035,rehan kazi,rehan,kazi,2013-10-13,Male,1968-08-09,47,Greater than 45,Asian,0,1,0,0,1,0,2013-10-13 02:20:11,2013-10-14 07:54:28,13019417MM10A,2013-10-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-13,Risk of Violence,1,Low,2013-10-13,2013-12-05,2013-12-06,1,1,53,0,0 +6036,james nelson,james,nelson,2013-05-02,Male,1994-06-14,21,Less than 25,Other,0,4,0,0,0,-1,2013-05-01 07:59:10,2013-05-03 09:30:47,13006266CF10A,2013-05-01,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-02,Risk of Violence,6,Medium,2013-05-02,2014-10-20,2014-10-24,0,1,536,0,0 +6040,joshua patterson,joshua,patterson,2014-09-15,Male,1986-09-10,29,25 - 45,African-American,0,9,0,0,0,-1,2014-09-14 10:42:07,2014-09-16 03:12:53,14013686MM10A,2014-09-14,,1,M,Battery,1,14082899TC40A,(M2),,2014-11-26,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2014-09-15,Risk of Violence,10,High,2014-09-15,2014-09-14,2014-09-16,0,1,72,1,1 +6041,ramon abreu,ramon,abreu,2014-02-25,Male,1967-12-05,48,Greater than 45,Caucasian,0,1,0,0,2,-1,2014-02-24 10:00:14,2014-02-25 09:19:31,14001974CF10A,,2014-02-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-24,2014-02-25,2,0,766,0,0 +6042,jose carter,jose,carter,2013-02-08,Male,1978-12-19,37,25 - 45,Caucasian,0,4,0,0,4,-1,2013-02-07 09:43:49,2013-05-01 06:20:56,13002769MM10A,2013-02-07,,1,M,Battery,1,13012727CF10A,(F3),0,2013-09-09,Possession of Cocaine,2013-09-09,2013-09-11,,0,,,,,Risk of Recidivism,4,Low,2013-02-08,Risk of Violence,4,Low,2013-02-08,2013-09-09,2013-09-11,4,82,213,1,1 +6043,david guitar,david,guitar,2013-03-28,Male,1966-03-28,50,Greater than 45,Caucasian,0,3,0,0,3,-1,2013-03-27 09:19:27,2013-04-10 10:26:19,13004415CF10A,2013-03-27,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-04-10,3,13,1100,0,0 +6044,quincy jean,quincy,jean,2014-11-09,Male,1996-05-26,19,Less than 25,African-American,0,8,0,0,3,-1,2014-11-08 05:43:24,2014-11-10 05:01:01,14015002CF10A,2014-11-08,,1,F,Burglary Dwelling Armed,1,15000596CF10A,(F3),,2015-01-09,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,8,High,2014-11-09,Risk of Violence,8,High,2014-11-09,2015-01-07,2015-09-26,3,1,61,1,1 +6045,sean miller,sean,miller,2013-12-09,Male,1977-01-09,39,25 - 45,Caucasian,0,3,0,0,2,,,,10026202MM10A,2010-11-08,,1127,M,Opert With Susp DL 2ND Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,,,2,0,844,0,0 +6046,michael jackson,michael,jackson,2013-02-01,Male,1966-09-02,49,Greater than 45,African-American,2,3,0,0,13,-1,2013-01-31 08:34:57,2013-02-01 01:50:18,13001572CF10A,2013-01-31,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-01,Risk of Violence,2,Low,2013-02-01,2013-01-31,2013-02-01,13,0,1155,0,0 +6047,brian todd,brian,todd,2014-02-21,Male,1958-01-08,58,Greater than 45,Caucasian,0,5,0,0,2,-1,2014-02-20 07:21:42,2014-02-25 08:15:11,14002433CF10A,2014-02-20,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,2,Low,2014-02-21,2014-02-20,2014-02-25,2,4,770,0,0 +6048,laurence couch,laurence,couch,2013-10-11,Male,1984-10-05,31,25 - 45,African-American,0,8,0,0,6,0,2013-10-11 04:20:25,2013-10-11 08:02:17,13014253CF10A,2013-10-11,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-11,Risk of Violence,6,Medium,2013-10-11,2013-11-25,2013-12-13,6,0,45,0,0 +6051,cedrick camper,cedrick,camper,2013-11-13,Male,1993-01-27,23,Less than 25,African-American,0,7,0,2,1,-1,2013-11-12 01:26:14,2013-11-13 01:00:19,13021304MM10A,2013-11-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-13,Risk of Violence,5,Medium,2013-11-13,2013-11-12,2013-11-13,1,0,870,0,0 +6055,juckendra toussaint,juckendra,toussaint,2014-05-08,Female,1992-12-06,23,Less than 25,African-American,0,3,0,0,0,0,2014-05-08 03:24:01,2014-05-09 02:12:07,14006419CF10A,2014-05-07,,1,F,Aggravated Assault W/Dead Weap,1,14015627CF10A,(F3),0,2014-11-20,Crimin Mischief Damage $1000+,2014-11-20,2014-11-21,,0,,,,,Risk of Recidivism,3,Low,2014-05-08,Risk of Violence,4,Low,2014-05-08,2014-11-20,2014-11-21,0,1,196,1,1 +6056,george bein,george,bein,2014-10-15,Male,1984-06-29,31,25 - 45,Caucasian,0,8,0,0,17,-1,2014-10-14 05:29:34,2014-10-15 08:39:11,14013841CF10A,2014-10-14,,1,F,Possession of Oxycodone,1,15001477CF10A,(F3),1,2015-02-01,Driving While License Revoked,2015-02-02,2015-02-03,,0,,,,,Risk of Recidivism,8,High,2014-10-15,Risk of Violence,8,High,2014-10-15,2015-06-16,2015-07-27,17,0,109,1,1 +6058,leon wallace,leon,wallace,2013-01-03,Male,1983-04-15,33,25 - 45,Other,0,1,0,0,0,-1,2013-01-02 10:07:28,2013-03-27 01:38:36,13000069CF10A,,2013-01-02,1,F,arrest case no charge,1,14008015MM10A,(M1),0,2014-05-17,Viol Injunct Domestic Violence,2014-05-17,2014-05-18,,1,16002185MM10A,(M1),2016-03-05,Battery,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2014-05-17,2014-05-18,0,83,499,1,1 +6062,michael campanile,michael,campanile,2013-09-25,Male,1958-08-03,57,Greater than 45,Caucasian,0,2,0,0,6,-23,2013-09-02 03:00:19,2013-09-03 07:50:44,13012396CF10A,2013-09-01,,24,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-25,Risk of Violence,2,Low,2013-09-25,2013-09-02,2013-09-03,6,0,919,0,0 +6064,brooke bassininsky,brooke,bassininsky,2013-12-16,Female,1984-11-21,31,25 - 45,Caucasian,0,2,0,0,0,-3,2013-12-13 09:11:19,2013-12-14 03:44:07,13023149MM10A,2013-12-13,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,2,Low,2013-12-16,2013-12-13,2013-12-14,0,0,837,0,0 +6065,clarence jackson,clarence,jackson,2013-05-19,Male,1958-12-29,57,Greater than 45,African-American,0,6,0,0,19,-1,2013-05-18 08:31:01,2013-05-21 12:47:29,13007095CF10A,2013-05-18,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-19,Risk of Violence,1,Low,2013-05-19,2014-04-10,2014-04-10,19,2,326,0,0 +6066,larry derose,larry,derose,2013-11-11,Male,1958-07-08,57,Greater than 45,Caucasian,0,5,0,0,12,0,2013-11-11 02:40:13,2013-11-14 09:18:15,13021252MM10A,2013-11-10,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-11,Risk of Violence,1,Low,2013-11-11,2014-06-09,2014-06-09,12,3,210,0,0 +6067,antwon belgrave,antwon,belgrave,2014-07-17,Male,1987-02-27,29,25 - 45,African-American,0,7,0,0,6,-1,2014-07-16 09:21:50,2014-07-17 08:04:10,14010893MM10A,2014-07-16,,1,M,Battery,1,15016070CF10A,(F3),0,2015-12-11,Grand Theft (Motor Vehicle),2015-12-11,2015-12-12,,0,,,,,Risk of Recidivism,7,Medium,2014-07-17,Risk of Violence,4,Low,2014-07-17,2015-12-11,2015-12-12,6,0,512,1,1 +6070,cynthia jacobs,cynthia,jacobs,2013-05-10,Male,1985-04-30,30,25 - 45,African-American,0,1,0,0,0,0,2013-05-10 02:26:42,2013-05-10 08:16:26,13009082MM10A,2013-05-10,,0,M,Battery,1,15001619CF10A,(M2),0,2015-02-04,Expired DL More Than 6 Months,2015-02-04,2015-02-04,,0,,,,,Risk of Recidivism,1,Low,2013-05-10,Risk of Violence,1,Low,2013-05-10,2015-02-04,2015-02-04,0,0,635,0,1 +6071,calvin sims,calvin,sims,2013-12-15,Male,1971-01-31,45,Greater than 45,African-American,0,3,0,0,11,-1,2013-12-14 09:06:52,2013-12-15 08:50:15,13017297CF10A,2013-12-14,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-15,Risk of Violence,3,Low,2013-12-15,2013-12-14,2013-12-15,11,0,838,0,0 +6073,daniel urrea,daniel,urrea,2013-12-15,Male,1973-11-05,42,25 - 45,Caucasian,0,5,0,0,0,0,2013-12-15 06:01:30,2013-12-15 08:40:14,13017335CF10A,2013-12-15,,0,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-15,Risk of Violence,2,Low,2013-12-15,2013-12-15,2013-12-15,0,0,838,0,0 +6074,steve rosewell,steve,rosewell,2013-05-15,Male,1967-11-02,48,Greater than 45,Other,0,2,0,0,7,-1,2013-05-14 06:11:09,2013-05-15 02:02:18,13006894CF10A,2013-05-14,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,2,Low,2013-05-15,2013-05-14,2013-05-15,7,0,1052,0,0 +6075,darius vaden,darius,vaden,2013-05-04,Male,1987-01-20,29,25 - 45,African-American,0,8,2,0,12,0,2013-05-04 03:56:55,2013-05-16 09:19:37,13006398CF10A,2013-05-03,,1,F,Tampering With Physical Evidence,1,13114974TC30A,(M2),,2013-10-23,Reckless Driving,,,,0,,,,,Risk of Recidivism,8,High,2013-05-04,Risk of Violence,5,Medium,2013-05-04,2013-05-04,2013-05-16,12,12,172,1,1 +6077,matthew arboleda,matthew,arboleda,2013-05-25,Male,1993-03-28,23,Less than 25,Caucasian,0,4,0,0,0,521,2014-10-28 07:54:03,2014-11-04 09:20:29,13007450CF10A,2013-05-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-25,Risk of Violence,5,Medium,2013-05-25,2014-10-28,2014-11-04,0,0,521,0,0 +6078,jamie hamilton,jamie,hamilton,2013-12-02,Female,1987-09-28,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-01 11:59:34,2013-12-02 09:37:16,13016640CF10A,2013-12-01,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-02,Risk of Violence,2,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0 +6079,gayvon garrett,gayvon,garrett,2013-04-01,Male,1974-07-13,41,25 - 45,African-American,0,7,0,0,3,,,,09006688CF10A,2009-04-09,,1453,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-01,Risk of Violence,3,Low,2013-04-01,,,3,0,1096,0,0 +6080,tazomi natta,tazomi,natta,2013-04-27,Male,1990-07-28,25,25 - 45,African-American,0,2,0,0,1,-1,2013-04-26 03:45:27,2013-04-27 07:36:12,13008099MM10A,2013-04-26,,1,M,Battery,1,14002675CF10A,(F2),8,2014-02-17,Throw Deadly Missile Into Veh,2014-02-25,2014-02-27,,1,14002675CF10A,(F3),2014-02-17,Aggravated Assault w/Firearm,Risk of Recidivism,2,Low,2013-04-27,Risk of Violence,3,Low,2013-04-27,2015-11-19,2020-01-01,1,0,296,1,1 +6081,lorraine rivera,lorraine,rivera,2013-08-05,Female,1981-10-14,34,25 - 45,Caucasian,0,5,0,0,3,-1,2013-08-04 09:41:27,2013-08-14 10:01:13,13014594MM10A,2013-08-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-05,Risk of Violence,2,Low,2013-08-05,2013-08-04,2013-08-14,3,9,970,0,0 +6082,grover gaines,grover,gaines,2013-06-17,Male,1962-09-24,53,Greater than 45,African-American,0,5,0,0,26,,,,13008311CF10A,2013-06-12,,5,F,Possession of Cocaine,1,13054632TC40A,(M2),,2013-07-18,Ped Obstruct Traf/No Permit Sol,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-17,Risk of Violence,4,Low,2013-06-17,,,26,0,31,1,1 +6083,alexis vidot,alexis,vidot,2013-04-18,Female,1987-12-03,28,25 - 45,African-American,0,3,0,0,1,-87,2013-01-21 07:26:21,2013-01-23 04:23:00,13000992CF10A,2013-01-21,,87,F,Battery on Law Enforc Officer,1,15001275MM10A,(M1),0,2015-01-31,Resist/Obstruct W/O Violence,2015-01-31,2015-01-31,,0,,,,,Risk of Recidivism,3,Low,2013-04-18,Risk of Violence,3,Low,2013-04-18,2015-01-31,2015-01-31,1,0,653,0,1 +6084,antonio jarrett,antonio,jarrett,2013-12-13,Male,1988-05-26,27,25 - 45,African-American,0,2,0,0,0,-1,2013-12-12 02:19:40,2013-12-13 02:51:00,13017204CF10A,2013-12-12,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-13,Risk of Violence,4,Low,2013-12-13,2013-12-12,2013-12-13,0,0,840,0,0 +6085,fredrick adger,fredrick,adger,2013-10-07,Male,1976-09-02,39,25 - 45,African-American,0,4,0,0,4,0,2013-10-07 04:26:58,2013-11-16 08:34:09,13014064CF10A,2013-10-07,,0,F,Aggrav Child Abuse-Agg Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,2,Low,2013-10-07,2013-10-07,2013-11-16,4,40,907,0,0 +6087,wendy wilson,wendy,wilson,2013-01-09,Female,1961-01-29,55,Greater than 45,Caucasian,0,4,0,0,6,1001,2015-10-07 07:01:04,2015-11-13 05:08:21,12009689CF10A,2012-07-01,,192,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2015-10-07,2015-11-13,6,0,1001,0,0 +6089,ladarious smith,ladarious,smith,2013-11-25,Male,1989-04-05,27,25 - 45,African-American,0,5,0,0,4,-1,2013-11-24 12:20:22,2014-01-14 08:48:27,13016142CF10A,,2013-11-24,1,F,arrest case no charge,1,14011034MM10A,(M1),0,2014-07-19,Battery,2014-07-19,2014-08-23,,1,14011034MM10A,(M1),2014-07-19,Battery,Risk of Recidivism,5,Medium,2013-11-25,Risk of Violence,6,Medium,2013-11-25,2014-07-19,2014-08-23,4,50,236,1,1 +6094,zhivago walker,zhivago,walker,2014-12-03,Male,1985-12-25,30,25 - 45,Caucasian,0,10,0,1,7,-1,2014-12-02 11:20:45,2014-12-03 07:51:56,14016083CF10A,2014-12-02,,1,F,Dealing in Stolen Property,1,15004555CF10A,(M1),1,2015-04-06,Possess Cannabis/20 Grams Or Less,2015-04-07,2015-04-07,,0,,,,,Risk of Recidivism,10,High,2014-12-03,Risk of Violence,8,High,2014-12-03,2015-04-07,2015-04-07,7,0,124,1,1 +6095,keion mickles,keion,mickles,2013-01-12,Male,1984-10-02,31,25 - 45,African-American,3,10,0,1,15,-1,2013-01-11 12:15:23,2013-01-16 05:45:04,13000708MM10A,2013-01-11,,1,M,Battery,1,13011616TC10A,(M2),,2013-01-28,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-01-12,Risk of Violence,4,Low,2013-01-12,2013-01-11,2013-01-16,15,4,16,1,1 +6096,sean holder,sean,holder,2014-12-24,Male,1995-10-20,20,Less than 25,African-American,0,9,0,1,1,-1,2014-12-23 11:29:47,2014-12-24 08:59:25,15000853CF10A,2014-12-23,,1,M,Aggravated Battery / Pregnant,1,15001912TC10A,(M2),0,2014-12-28,Reckless Driving,2014-12-28,2015-03-05,,0,,,,,Risk of Recidivism,9,High,2014-12-24,Risk of Violence,8,High,2014-12-24,2014-12-28,2015-03-05,1,0,4,1,1 +6097,lawrence andrews,lawrence,andrews,2014-05-25,Male,1989-11-27,26,25 - 45,Caucasian,0,9,0,0,2,-1,2014-05-24 08:49:20,2014-05-25 08:41:34,14007260CF10A,2014-05-24,,1,F,Aggravated Assault W/Dead Weap,1,14013516CF10A,(F3),77,2014-08-28,Felony Battery w/Prior Convict,2014-11-13,2014-11-21,,1,14013516CF10A,(F3),2014-08-28,Felony Battery w/Prior Convict,Risk of Recidivism,9,High,2014-05-25,Risk of Violence,8,High,2014-05-25,2016-03-16,2016-04-08,2,0,95,1,1 +6098,darwin monroe,darwin,monroe,2013-08-27,Male,1971-09-28,44,25 - 45,African-American,0,5,0,0,7,-49,2013-07-09 06:44:39,2013-08-05 08:54:24,13009611CF10A,2013-07-09,,49,F,Possession of Cocaine,1,14012031CF10A,(F3),265,2014-04-30,Grand Theft in the 3rd Degree,2015-01-20,2015-01-28,,0,,,,,Risk of Recidivism,5,Medium,2013-08-27,Risk of Violence,5,Medium,2013-08-27,2015-04-07,2015-05-23,7,0,246,1,1 +6099,joseph keel,joseph,keel,2013-05-21,Male,1983-04-17,33,25 - 45,African-American,0,10,0,0,17,,,,12004964CF10A,,2012-12-05,167,F,arrest case no charge,1,14012027CF10A,(F2),,2014-06-13,Throw In Occupied Dwell,,,,1,14012027CF10A,(F2),2014-06-13,Throw In Occupied Dwell,Risk of Recidivism,10,High,2013-05-21,Risk of Violence,10,High,2013-05-21,,,17,0,388,1,1 +6100,stephen castelli,stephen,castelli,2013-03-30,Male,1981-06-21,34,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-29 07:55:48,2013-03-30 08:06:44,13004525CF10A,2013-03-29,,1,F,Fleeing or Eluding a LEO,1,15000669TC10A,(M2),0,2015-01-06,Unlaw LicTag/Sticker Attach,2015-01-06,2015-01-12,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2015-01-06,2015-01-12,0,0,647,1,1 +6101,leung fong-aguilar,leung,fong-aguilar,2013-08-21,Male,1988-09-11,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-20 10:24:22,2013-08-21 07:44:13,13015840MM10A,2013-08-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-21,Risk of Violence,2,Low,2013-08-21,2013-08-20,2013-08-21,0,0,954,0,0 +6103,brian lucius,brian,lucius,2014-07-31,Male,1994-05-05,21,Less than 25,African-American,0,7,0,1,1,-414,2013-06-12 01:51:10,2013-06-13 04:01:32,13008338CF10A,2013-06-12,,414,F,Possession of Cannabis,1,15001768MM20A,(M2),,2015-06-29,Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2014-07-31,Risk of Violence,6,Medium,2014-07-31,2016-01-11,2016-01-12,1,0,333,1,1 +6105,jarvis jones,jarvis,jones,2013-10-10,Male,1987-03-24,29,25 - 45,African-American,0,2,0,0,4,-1,2013-10-09 04:48:19,2013-10-10 08:39:57,13014181CF10A,2013-10-09,,1,F,Felony Driving While Lic Suspd,1,16000978CF10A,(F3),0,2016-01-23,Use of Anti-Shoplifting Device,2016-01-23,2016-01-24,,0,,,,,Risk of Recidivism,2,Low,2013-10-10,Risk of Violence,2,Low,2013-10-10,2014-03-21,2014-03-22,4,0,162,0,0 +6106,derrius davis,derrius,davis,2013-08-24,Male,1988-08-20,27,25 - 45,African-American,0,6,0,0,7,-1,2013-08-23 11:30:37,2013-08-28 03:25:56,13011893CF10A,2013-08-23,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-24,Risk of Violence,4,Low,2013-08-24,2013-08-23,2013-08-28,7,4,951,0,0 +6107,yaneia camejogarzon,yaneia,camejogarzon,2014-01-01,Female,1991-08-14,24,Less than 25,Caucasian,0,8,0,0,0,-1,2013-12-31 05:48:21,2014-01-02 03:47:34,14000021CF10A,2013-12-31,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-01-01,Risk of Violence,5,Medium,2014-01-01,2015-03-17,2015-03-24,0,1,440,0,0 +6108,alphonso tanksley,alphonso,tanksley,2013-08-06,Male,1986-07-05,29,25 - 45,African-American,0,5,0,0,0,-1,2013-08-05 11:26:23,2013-08-06 01:01:16,13010976CF10A,2013-08-05,,1,F,Driving While License Revoked,1,14023342TC10A,(M2),,2014-06-08,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-06,Risk of Violence,4,Low,2013-08-06,2013-08-05,2013-08-06,0,0,306,1,1 +6109,tristan fernandez,tristan,fernandez,2013-09-11,Male,1995-08-11,20,Less than 25,Caucasian,0,3,0,0,0,-1,2013-09-10 10:25:50,2013-09-11 01:42:53,13012788CF10A,2013-09-10,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-11,Risk of Violence,6,Medium,2013-09-11,2013-09-10,2013-09-11,0,0,933,0,0 +6110,lauren emigh,lauren,emigh,2013-11-22,Female,1992-07-18,23,Less than 25,Caucasian,0,3,0,0,0,-1,2013-11-21 02:57:55,2013-11-21 09:38:19,13016183CF10A,2013-11-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-22,Risk of Violence,3,Low,2013-11-22,2015-05-13,2015-06-25,0,0,537,0,0 +6111,veronica talavera,veronica,talavera,2013-01-02,Female,1967-10-28,48,Greater than 45,African-American,0,1,0,0,0,0,2013-01-02 02:49:09,2013-01-02 07:16:44,13000133MM10A,2013-01-02,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,2013-01-02,2013-01-02,0,0,1185,0,0 +6112,thaddeus thomas,thaddeus,thomas,2014-01-06,Male,1981-06-24,34,25 - 45,African-American,0,1,0,0,0,0,2014-01-06 03:46:05,2014-01-06 08:25:11,14000444MU10A,2014-01-06,,0,M,Driving Under The Influence,1,15068530TC40A,(M2),,2015-12-02,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-06,2014-01-06,0,0,695,1,1 +6113,deon mosley,deon,mosley,2013-02-18,Male,1969-10-09,46,Greater than 45,African-American,0,6,0,0,1,-1,2013-02-17 06:30:23,2013-02-18 06:32:36,13003416MM10A,2013-02-17,,1,M,Battery,1,14049922TC30A,(M2),86,2014-06-05,Operating W/O Valid License,2014-08-30,2014-08-30,,0,,,,,Risk of Recidivism,6,Medium,2013-02-18,Risk of Violence,4,Low,2013-02-18,2014-08-30,2014-08-30,1,0,472,1,1 +6114,shannon clark,shannon,clark,2013-08-21,Female,1974-11-01,41,25 - 45,Caucasian,0,5,0,0,3,-1,2013-08-20 06:27:59,2013-08-21 09:19:32,13011676CF10A,2013-08-20,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-21,Risk of Violence,2,Low,2013-08-21,2013-08-20,2013-08-21,3,0,954,0,0 +6116,shawniel smith,shawniel,smith,2013-08-02,Male,1990-02-16,26,25 - 45,African-American,0,6,0,0,3,-1,2013-08-01 09:19:34,2013-08-02 08:41:46,13010769CF10A,2013-08-01,,1,F,Del Cannabis At/Near Park,1,13092886TC30A,(M2),3,2013-09-06,Driving License Suspended,2013-09-09,2013-09-11,,0,,,,,Risk of Recidivism,6,Medium,2013-08-02,Risk of Violence,4,Low,2013-08-02,2013-10-02,2013-10-12,3,0,35,1,1 +6117,nathan edwards,nathan,edwards,2013-11-26,Male,1978-12-01,37,25 - 45,African-American,0,8,0,0,11,-1,2013-11-25 05:01:45,2013-11-26 11:39:12,13016417CF10A,2013-11-25,,1,F,Felony Driving While Lic Suspd,1,14014186MM10A,(M1),0,2014-09-25,Possess Drug Paraphernalia,2014-09-25,2014-10-21,,0,,,,,Risk of Recidivism,8,High,2013-11-26,Risk of Violence,6,Medium,2013-11-26,2014-01-13,2014-09-13,11,0,48,0,1 +6118,denise lefebvre,denise,lefebvre,2014-01-17,Female,1961-09-11,54,Greater than 45,Caucasian,0,5,0,0,7,-98,2013-10-11 10:08:29,2013-10-31 12:19:48,92019087CF10A,,2013-10-11,98,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-17,Risk of Violence,2,Low,2014-01-17,2013-10-11,2013-10-31,7,0,805,0,0 +6119,shantavia robinson,shantavia,robinson,2013-04-09,Female,1990-07-02,25,25 - 45,African-American,0,10,0,0,5,,,,12005762MM10A,2012-03-16,,389,M,Trespass Structure/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-09,Risk of Violence,9,High,2013-04-09,,,5,0,1088,0,0 +6123,briana angelini,briana,angelini,2013-12-20,Female,1994-03-03,22,Less than 25,Caucasian,0,3,0,0,2,-1,2013-12-19 08:49:18,2013-12-20 07:52:14,13017517CF10A,,2013-12-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-20,Risk of Violence,4,Low,2013-12-20,2013-12-19,2013-12-20,2,0,833,0,0 +6125,jocelyn ducardy,jocelyn,ducardy,2014-03-24,Male,1984-02-22,32,25 - 45,African-American,0,1,0,0,7,-1,2014-03-23 09:07:04,2014-03-24 02:30:02,14004092CF10A,2014-03-23,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-24,Risk of Violence,1,Low,2014-03-24,2014-03-23,2014-03-24,7,0,739,0,0 +6127,ray lambert,ray,lambert,2013-10-28,Male,1971-09-19,44,25 - 45,African-American,0,1,0,0,0,-1,2013-10-27 03:36:19,2013-10-29 04:11:32,13020339MM10A,2013-10-27,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-28,Risk of Violence,1,Low,2013-10-28,2015-03-04,2015-03-06,0,1,492,0,0 +6129,venorrice wells,venorrice,wells,2013-08-22,Male,1987-10-11,28,25 - 45,African-American,0,1,0,0,1,-90,2013-05-24 09:25:40,2013-07-12 01:01:04,13007436CF10A,2013-05-24,,90,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-22,Risk of Violence,2,Low,2013-08-22,2013-05-24,2013-07-12,1,0,953,0,0 +6131,leroy rolle,leroy,rolle,2013-12-15,Male,1956-02-08,60,Greater than 45,African-American,0,1,0,0,3,-1,2013-12-14 11:18:05,2013-12-15 08:36:52,13023183MM10A,2013-12-14,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-14,2013-12-15,3,0,838,0,0 +6133,joseph suarez,joseph,suarez,2013-02-13,Male,1967-02-06,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-13 12:43:40,2013-02-13 07:55:01,13002177CF10A,2013-02-12,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-02-13,2013-02-13,0,0,1143,0,0 +6134,christopher jones,christopher,jones,2013-09-30,Male,1983-08-04,32,25 - 45,African-American,0,4,0,0,9,-59,2013-08-02 03:29:13,2013-09-28 07:20:42,13010912CF10A,2013-08-01,,60,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,3,Low,2013-09-30,2013-08-02,2013-09-28,9,0,914,0,0 +6135,james francois,james,francois,2013-09-18,Male,1986-01-03,30,25 - 45,African-American,0,4,0,0,10,0,2013-09-18 03:06:31,2013-09-20 01:52:58,13017795MM10A,2013-09-18,,0,M,Battery,1,13021228MM10A,(M1),0,2013-11-11,Possess Cannabis/20 Grams Or Less,2013-11-11,2013-11-13,,1,14007748MM10A,(M1),2014-05-11,Battery,Risk of Recidivism,4,Low,2013-09-18,Risk of Violence,5,Medium,2013-09-18,2013-11-11,2013-11-13,10,2,54,1,1 +6137,jesse teplicki,jesse,teplicki,2013-01-16,Male,1964-04-16,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-15 03:54:42,2013-01-16 04:51:43,13000693CF10A,2013-01-15,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-16,Risk of Violence,1,Low,2013-01-16,2013-01-15,2013-01-16,0,0,1171,0,0 +6139,latavia bertrane,latavia,bertrane,2014-02-22,Female,1988-12-20,27,25 - 45,African-American,0,10,0,0,1,,,,11005752CF10A,2011-04-03,,1056,M,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-02-22,Risk of Violence,9,High,2014-02-22,,,1,0,769,0,0 +6140,james gefrard,james,gefrard,2014-01-13,Male,1981-12-24,34,25 - 45,African-American,0,10,0,0,0,-1,2014-01-12 09:56:37,2014-01-14 01:14:37,14000523CF10A,2014-01-12,,1,F,Poss Wep Conv Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-13,Risk of Violence,9,High,2014-01-13,2014-01-12,2014-01-14,0,1,809,0,0 +6143,gerard mariney,gerard,mariney,2013-05-11,Male,1960-12-12,55,Greater than 45,African-American,0,4,0,0,5,-1,2013-05-10 11:31:10,2013-05-14 01:32:21,13006732CF10A,2013-05-10,,1,F,Felony Battery w/Prior Convict,1,13011138MM10A,(M1),1,2013-06-09,Viol Pretrial Release Dom Viol,2013-06-10,2013-07-25,,1,14000515MM10A,(M1),2014-01-10,Battery,Risk of Recidivism,4,Low,2013-05-11,Risk of Violence,1,Low,2013-05-11,2013-05-10,2013-05-14,5,3,29,1,1 +6145,derek williams,derek,williams,2013-09-06,Male,1978-08-29,37,25 - 45,African-American,0,6,0,0,6,,,,12004489MM10A,2012-03-03,,552,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-06,Risk of Violence,5,Medium,2013-09-06,2005-12-08,2006-09-04,6,0,938,0,0 +6146,marc jean,marc,jean,2013-02-19,Male,1982-09-29,33,25 - 45,African-American,0,7,0,0,0,-1,2013-02-18 06:09:43,2013-02-19 01:30:31,13004166MM10A,2013-02-18,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-19,Risk of Violence,7,Medium,2013-02-19,2013-02-18,2013-02-19,0,0,1137,0,0 +6147,benjamin marsh,benjamin,marsh,2013-10-28,Male,1994-01-03,22,Less than 25,African-American,0,6,0,0,0,-1,2013-10-27 11:57:02,2013-10-28 07:35:03,13015016CF10A,2013-10-27,,1,F,Possession of Cannabis,1,15011779TC30A,(M2),119,2015-02-09,Unlaw LicTag/Sticker Attach,2015-06-08,2015-08-23,,0,,,,,Risk of Recidivism,6,Medium,2013-10-28,Risk of Violence,6,Medium,2013-10-28,2015-06-08,2015-08-23,0,0,469,1,1 +6148,nicole pratt,nicole,pratt,2013-05-01,Female,1989-02-05,27,25 - 45,African-American,0,2,0,0,0,0,2013-05-01 05:32:30,2013-05-02 12:23:41,13008466MM10A,2013-05-01,,0,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-05-01,2013-05-02,0,1,1066,0,0 +6149,bryan jolly,bryan,jolly,2014-04-30,Male,1996-03-05,20,Less than 25,African-American,0,5,0,2,0,-1,2014-04-29 08:43:43,2014-04-30 02:13:01,14005934CF10A,2014-04-29,,1,F,Uttering a Forged Instrument,1,14071119TC40A,(M2),168,2014-10-21,Driving License Suspended,2015-04-07,2015-04-07,,0,,,,,Risk of Recidivism,5,Medium,2014-04-30,Risk of Violence,7,Medium,2014-04-30,2016-01-15,2016-01-27,0,0,174,1,1 +6150,virgina tongyai,virgina,tongyai,2013-04-19,Male,1982-11-13,33,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-18 03:40:20,2013-06-11 01:18:17,13005554CF10A,2013-04-18,,1,F,Burglary Assault/Battery Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-04-18,2013-06-11,0,53,1078,0,0 +6152,arrington montgomery,arrington,montgomery,2014-02-05,Male,1989-11-22,26,25 - 45,African-American,0,2,0,0,0,-1,2014-02-04 03:22:51,2014-02-06 09:10:51,14001958MM10A,2014-02-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-05,Risk of Violence,2,Low,2014-02-05,2014-02-04,2014-02-06,0,1,786,0,0 +6153,teras hope,teras,hope,2013-02-11,Male,1986-11-29,29,25 - 45,African-American,0,5,0,0,0,-1,2013-02-10 08:16:13,2013-02-12 05:23:27,13002935MM10A,2013-02-10,,1,M,DWLS Canceled Disqul 1st Off,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-11,Risk of Violence,2,Low,2013-02-11,2013-02-10,2013-02-12,0,1,1145,0,0 +6154,steve marcelin,steve,marcelin,2013-02-25,Male,1983-09-22,32,25 - 45,African-American,0,3,0,0,1,0,2013-02-25 06:09:27,2013-02-25 07:08:19,13003938MM10A,2013-02-25,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-25,Risk of Violence,4,Low,2013-02-25,2013-02-25,2013-02-25,1,0,1131,0,0 +6156,matthew graf,matthew,graf,2013-02-09,Male,1978-08-13,37,25 - 45,Caucasian,0,1,0,0,4,0,2013-02-09 12:56:56,2013-02-10 08:05:29,13002922MM10A,2013-02-09,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-09,Risk of Violence,1,Low,2013-02-09,2013-02-09,2013-02-10,4,1,1147,0,0 +6159,kenneth thomas,kenneth,thomas,2013-02-24,Male,1984-07-06,31,25 - 45,African-American,0,10,0,0,15,0,2013-02-24 02:24:03,2013-06-08 03:36:28,12015649CF10A,,2013-02-24,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-24,Risk of Violence,7,Medium,2013-02-24,2014-06-16,2014-06-16,15,104,477,0,0 +6160,omar wallace,omar,wallace,2013-04-24,Male,1986-07-14,29,25 - 45,African-American,0,8,0,0,6,-1,2013-04-23 07:39:01,2013-04-24 01:49:13,13005842CF10A,2013-04-23,,1,F,Driving While License Revoked,1,13014384MM10A,(M1),0,2013-07-30,Resist/Obstruct W/O Violence,2013-07-30,2013-08-08,,0,,,,,Risk of Recidivism,8,High,2013-04-24,Risk of Violence,4,Low,2013-04-24,2013-07-30,2013-08-08,6,0,97,1,1 +6161,michael marti,michael,marti,2013-04-06,Male,1984-08-13,31,25 - 45,African-American,0,4,0,0,6,0,2013-04-06 05:10:18,2013-05-17 06:20:04,12013508CF10A,,2013-04-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-06,Risk of Violence,2,Low,2013-04-06,2013-11-06,2013-12-12,6,41,214,0,0 +6162,summer sands,summer,sands,2013-11-13,Female,1980-03-07,36,25 - 45,Caucasian,0,3,0,0,2,-1,2013-11-12 12:13:54,2013-11-14 09:49:20,13015714CF10A,2013-11-12,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-13,Risk of Violence,3,Low,2013-11-13,2013-11-12,2013-11-14,2,1,870,0,0 +6163,rashon king,rashon,king,2013-12-01,Male,1980-05-04,35,25 - 45,African-American,0,6,0,0,4,-309,2013-01-26 01:59:45,2013-02-01 09:53:09,13021716MO10A,2013-11-11,,20,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-01,Risk of Violence,7,Medium,2013-12-01,2013-01-26,2013-02-01,4,0,852,0,0 +6164,thaffi wilson,thaffi,wilson,2014-02-24,Female,1978-10-19,37,25 - 45,African-American,0,1,0,0,1,-11,2014-02-13 01:39:00,2014-02-22 01:33:17,14002070CF10A,2014-02-13,,11,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-13,2014-02-22,1,0,767,0,0 +6165,patrick burrows,patrick,burrows,2013-04-20,Male,1981-10-31,34,25 - 45,Caucasian,0,2,0,0,5,-1,2013-04-19 03:20:12,2013-04-25 05:18:59,13007855MM10A,2013-03-08,,43,M,Petit Theft,1,13001415MM20A,(M2),,2013-05-17,Petit Theft,,,,1,15016210CF10A,(F2),2015-12-19,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-04-19,2013-04-25,5,5,27,1,1 +6166,rolando hernandez,rolando,hernandez,2014-08-30,Male,1995-08-22,20,Less than 25,Caucasian,0,5,0,0,1,-1,2014-08-29 05:48:29,2014-08-30 09:16:54,14012982MM10A,2014-08-29,,1,M,Assault,1,16002934MM10A,(M2),0,2016-03-28,,2016-03-28,2016-03-29,,0,,,,,Risk of Recidivism,5,Medium,2014-08-30,Risk of Violence,7,Medium,2014-08-30,2016-03-28,2016-03-29,1,0,576,1,1 +6167,kim hopkins,kim,hopkins,2013-09-11,Female,1965-05-04,50,Greater than 45,African-American,0,6,0,0,12,316,2014-07-24 11:59:36,2015-10-02 09:23:38,12024138MM10A,2012-11-26,,289,M,Battery,1,14010110CF10A,(F3),0,2014-07-24,Tampering With Physical Evidence,2014-07-24,2015-10-02,,1,14010110CF10A,(F2),2014-07-24,Attempt Murder in the First Degree,Risk of Recidivism,6,Medium,2013-09-11,Risk of Violence,3,Low,2013-09-11,2014-07-24,2015-10-02,12,0,316,1,1 +6169,anthony benitez,anthony,benitez,2013-02-28,Male,1992-01-13,24,Less than 25,Caucasian,0,9,0,2,8,-1,2013-02-27 01:32:53,2013-04-03 09:32:01,13002974CF10A,2013-02-27,,1,F,Felony Petit Theft,1,13003723CF10A,(F3),59,2013-03-12,Grand Theft in the 3rd Degree,2013-05-10,2013-06-13,,0,,,,,Risk of Recidivism,9,High,2013-02-28,Risk of Violence,10,High,2013-02-28,2013-02-27,2013-04-03,8,0,12,1,1 +6170,devin clarke,devin,clarke,2014-11-28,Male,1986-10-01,29,25 - 45,African-American,0,9,1,0,8,-1,2014-11-27 10:56:48,2014-11-28 08:16:47,14016868MM10A,2014-11-27,,1,M,Battery,1,15018619TC10A,(M2),0,2015-06-27,Susp Drivers Lic 1st Offense,2015-06-27,2015-06-28,,0,,,,,Risk of Recidivism,9,High,2014-11-28,Risk of Violence,5,Medium,2014-11-28,2015-06-27,2015-06-28,8,0,211,1,1 +6171,felisha jones,felisha,jones,2013-06-21,Female,1971-01-17,45,Greater than 45,African-American,0,1,0,0,1,-4,2013-06-17 11:22:11,2013-06-20 09:23:01,13008542CF10A,2013-06-17,,4,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-21,Risk of Violence,1,Low,2013-06-21,2013-06-17,2013-06-20,1,0,1015,0,0 +6172,joshua gomez,joshua,gomez,2013-04-22,Male,1981-12-01,34,25 - 45,Caucasian,0,7,0,0,2,-1,2013-04-21 11:50:41,2013-04-22 07:29:47,13004818CF10A,,2013-04-21,1,F,arrest case no charge,1,13016503CF10A,(F3),,2013-07-14,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-22,Risk of Violence,6,Medium,2013-04-22,2013-08-08,2013-11-20,2,0,83,1,1 +6173,cephus melton,cephus,melton,2013-03-04,Male,1945-11-12,70,Greater than 45,African-American,0,1,0,0,0,-1,2013-03-03 05:55:08,2013-03-04 07:31:12,13004314MM10A,2013-03-03,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-03,2013-03-04,0,0,1124,0,0 +6175,ronald mccloud,ronald,mccloud,2013-08-23,Male,1989-10-25,26,25 - 45,African-American,0,4,0,0,2,607,2015-04-22 04:27:32,2015-05-29 09:39:22,10011424CF10A,,2010-06-23,1157,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,4,Low,2013-08-23,2015-04-22,2015-05-29,2,0,607,0,0 +6177,patrick frazier,patrick,frazier,2014-01-15,Male,1993-01-12,23,Less than 25,African-American,1,9,0,0,4,-1,2014-01-14 03:17:08,2014-01-17 03:58:38,13017444CF10A,,2014-01-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-15,Risk of Violence,9,High,2014-01-15,2015-05-26,2015-06-02,4,2,496,0,0 +6178,jonathan cooper,jonathan,cooper,2014-01-02,Male,1989-01-05,27,25 - 45,Caucasian,0,4,0,0,5,-12,2013-12-21 05:45:16,2013-12-23 06:49:08,14006947TC10A,2013-12-21,,12,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-02,Risk of Violence,3,Low,2014-01-02,2013-12-21,2013-12-23,5,0,820,0,0 +6179,walter gillett,walter,gillett,2013-05-19,Male,1972-02-09,44,25 - 45,Caucasian,0,6,0,0,6,-1,2013-05-18 09:16:54,2013-09-14 05:54:00,13007094CF10A,2013-05-18,,1,F,Grand Theft in the 3rd Degree,1,15047629TC20A,(M2),,2015-07-22,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-19,Risk of Violence,2,Low,2013-05-19,2013-05-18,2013-09-14,6,118,794,1,1 +6180,antonio rivera,antonio,rivera,2013-01-18,Male,1993-04-17,23,Less than 25,African-American,0,3,0,0,2,334,2013-12-18 06:29:40,2014-03-28 12:09:52,12017929CF10A,,2013-01-18,0,M,arrest case no charge,1,13016098CF10A,(F2),59,2013-10-20,Robbery / No Weapon,2013-12-18,2014-03-28,,1,13016098CF10A,(F2),2013-10-20,Robbery / No Weapon,Risk of Recidivism,3,Low,2013-01-18,Risk of Violence,4,Low,2013-01-18,2015-02-16,2015-03-04,2,0,275,1,1 +6182,nicholas lindsey,nicholas,lindsey,2013-02-26,Male,1989-10-11,26,25 - 45,African-American,0,5,0,0,0,-1,2013-02-25 09:12:24,2013-02-26 06:38:57,13003930MM10A,2013-02-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-26,Risk of Violence,3,Low,2013-02-26,2015-02-27,2015-02-28,0,0,731,0,0 +6183,alexis baldinger,alexis,baldinger,2013-03-07,Female,1992-07-05,23,Less than 25,Caucasian,0,6,0,0,2,-1,2013-03-06 09:57:15,2013-03-07 07:12:13,13004534MM10A,2013-03-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-07,Risk of Violence,4,Low,2013-03-07,2013-03-06,2013-03-07,2,0,1121,0,0 +6185,jeremy hoggins,jeremy,hoggins,2013-12-24,Male,1988-08-01,27,25 - 45,African-American,0,9,0,0,3,-1,2013-12-23 08:37:44,2013-12-31 03:38:53,14001859CF10A,,2013-12-24,0,F,arrest case no charge,1,15015168CF10A,(F3),,2015-11-22,Fraud Use/Persnl ID Info/Deceased,,,,0,,,,,Risk of Recidivism,9,High,2013-12-24,Risk of Violence,7,Medium,2013-12-24,2013-12-23,2013-12-31,3,7,698,1,1 +6189,mireya cuevas,mireya,cuevas,2013-01-14,Female,1970-01-05,46,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-01-13 01:54:20,2013-02-07 08:44:30,13000609CF10A,2013-01-12,,2,F,Felony Batt(Great Bodily Harm),1,16000872MM10A,(M1),0,2016-01-25,Battery,2016-01-25,2016-01-26,,1,16000872MM10A,(M1),2016-01-25,Battery,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,1,Low,2013-01-14,2016-01-25,2016-01-26,1,24,1106,1,0 +6191,ciprianna spann,ciprianna,spann,2013-05-08,Female,1988-12-08,27,25 - 45,African-American,1,5,0,0,1,0,2013-05-08 10:06:06,2013-06-04 06:24:40,08003834CF10A,,2013-05-08,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-08,Risk of Violence,4,Low,2013-05-08,2013-05-08,2013-06-04,1,27,1059,0,0 +6192,brad thompson,brad,thompson,2013-02-21,Male,1970-09-12,45,Greater than 45,Caucasian,0,2,0,0,7,-1,2013-02-20 05:56:15,2013-02-21 07:41:49,13004702CF10A,2013-02-20,,1,F,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-21,Risk of Violence,2,Low,2013-02-21,2013-02-20,2013-02-21,7,0,1135,0,0 +6193,antwain smith,antwain,smith,2013-10-21,Male,1973-12-27,42,25 - 45,African-American,0,5,0,0,1,-12,2013-10-09 12:43:56,2013-10-17 09:27:59,01007205MM10A,,2013-10-09,12,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-21,Risk of Violence,2,Low,2013-10-21,2013-10-09,2013-10-17,1,0,893,0,0 +6195,jessica garcia,jessica,garcia,2013-11-13,Female,1991-12-09,24,Less than 25,Caucasian,0,5,1,0,3,-1,2013-11-12 10:36:22,2013-11-13 01:14:05,13021308MM10A,2013-11-12,,1,M,Battery,1,15002208MM40A,(M2),,2015-05-22,Retail/Farm/Fare/Theft,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-13,Risk of Violence,5,Medium,2013-11-13,2013-12-09,2013-12-10,3,0,26,0,1 +6196,william wells,william,wells,2014-02-03,Male,1995-09-13,20,Less than 25,African-American,1,8,1,1,2,-1,2014-02-02 04:24:24,2014-02-04 07:47:01,14001274CF10A,,2014-02-02,1,F,arrest case no charge,1,15011750MM10A,(M2),1,2015-11-09,Petit Theft,2015-11-10,2015-11-10,,0,,,,,Risk of Recidivism,8,High,2014-02-03,Risk of Violence,7,Medium,2014-02-03,2014-02-02,2014-02-04,2,1,644,1,1 +6198,richard fiora,richard,fiora,2013-09-24,Male,1966-12-22,49,Greater than 45,Caucasian,0,4,0,0,3,0,2013-09-24 02:46:20,2013-09-24 07:16:50,13013433CF10A,2013-09-24,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-24,Risk of Violence,2,Low,2013-09-24,2014-04-10,2014-05-02,3,0,198,0,0 +6199,daryl culbertson,daryl,culbertson,2013-01-03,Male,1986-08-02,29,25 - 45,Caucasian,0,9,0,0,8,149,2013-06-01 10:11:38,2013-08-19 01:34:12,12010548CF10A,,2012-08-10,146,M,arrest case no charge,1,13010500MM10A,(M1),0,2013-06-01,Possess Drug Paraphernalia,2013-06-01,2013-08-19,,0,,,,,Risk of Recidivism,9,High,2013-01-03,Risk of Violence,7,Medium,2013-01-03,2013-06-01,2013-08-19,8,0,149,1,1 +6200,miguel palazuelos,miguel,palazuelos,2013-10-14,Male,1987-03-24,29,25 - 45,Hispanic,0,2,0,0,0,0,2013-10-14 05:56:17,2013-10-14 02:00:55,13014371CF10A,2013-10-14,,0,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-14,Risk of Violence,2,Low,2013-10-14,2013-10-14,2013-10-14,0,0,900,0,0 +6201,mary ledbetter,mary,ledbetter,2013-10-16,Female,1964-03-24,52,Greater than 45,Caucasian,0,1,0,0,1,-8,2013-10-08 04:39:44,2013-10-11 10:06:11,13014108CF10A,2013-10-08,,8,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-16,Risk of Violence,1,Low,2013-10-16,2013-11-21,2013-11-23,1,0,36,0,0 +6202,douglas pineda,douglas,pineda,2014-02-03,Male,1978-09-12,37,25 - 45,Hispanic,0,1,0,0,4,0,2014-02-03 03:30:54,2014-02-04 04:02:26,14001881MM10A,2014-02-03,,0,M,Battery,1,14011609TC20A,(M2),,2014-02-12,Operating W/O Valid License,,,,1,15016503CF10A,(F3),2015-12-27,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-03,2014-02-04,4,1,9,1,1 +6203,phillip frost,phillip,frost,2013-03-18,Male,1990-04-05,26,25 - 45,African-American,0,3,0,0,1,-1,2013-03-17 01:16:50,2013-03-24 03:44:00,13005218MM10A,2013-03-17,,1,M,Battery,1,15041727TC20A,(M2),,2015-07-18,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-18,Risk of Violence,4,Low,2013-03-18,2013-03-17,2013-03-24,1,6,852,1,0 +6205,horace lake,horace,lake,2013-01-09,Male,1962-06-16,53,Greater than 45,African-American,0,1,0,0,15,-1,2013-01-08 11:04:23,2013-03-30 09:14:29,13000302CF10A,2013-01-08,,1,F,Felony Driving While Lic Suspd,1,13008271CF10A,(M1),0,2013-06-11,Resist/Obstruct W/O Violence,2013-06-11,2013-06-12,,0,,,,,Risk of Recidivism,1,Low,2013-01-09,Risk of Violence,2,Low,2013-01-09,2013-06-11,2013-06-12,15,80,153,1,1 +6206,marcelo silva,marcelo,silva,2014-01-23,Male,1968-06-04,47,Greater than 45,Hispanic,0,1,0,0,1,-27,2013-12-27 08:28:22,2014-01-13 09:12:03,10014588CF10A,,2013-12-27,27,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-23,Risk of Violence,1,Low,2014-01-23,2013-12-27,2014-01-13,1,0,799,0,0 +6207,henry brown,henry,brown,2013-04-03,Male,1977-10-03,38,25 - 45,African-American,0,8,0,0,0,-1,2013-04-02 10:50:01,2015-04-21 12:35:32,13006463MM10A,2013-04-02,,1,M,Extradition/Defendants,1,15006291CF10A,(M1),0,2015-05-14,Unlaw Use False Name/Identity,2015-05-14,2015-07-02,,0,,,,,Risk of Recidivism,8,High,2013-04-03,Risk of Violence,8,High,2013-04-03,2015-05-14,2015-07-02,0,748,771,1,1 +6208,jodarian warner,jodarian,warner,2013-01-11,Male,1991-02-19,25,25 - 45,African-American,0,6,0,0,1,0,2013-01-11 12:35:37,2013-01-11 01:14:09,13000430CF10A,2013-01-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-11,Risk of Violence,6,Medium,2013-01-11,2013-01-11,2013-01-11,1,0,1176,0,0 +6210,jeffrey orys,jeffrey,orys,2014-07-28,Male,1994-05-24,21,Less than 25,African-American,1,10,0,0,1,-1,2014-07-27 08:09:50,2014-08-02 04:56:49,14010231CF10A,2014-07-27,,1,F,Burglary Conveyance Unoccup,1,14014010CF10A,(F3),0,2014-10-17,Tampering With Physical Evidence,2014-10-17,2015-02-24,,1,14014010CF10A,(F3),2014-10-17,Robbery Sudd Snatch No Weapon,Risk of Recidivism,10,High,2014-07-28,Risk of Violence,9,High,2014-07-28,2014-10-17,2015-02-24,1,5,81,1,1 +6212,mark murray,mark,murray,2013-03-30,Male,1968-02-10,48,Greater than 45,African-American,0,1,0,0,0,0,2013-03-30 03:01:12,2013-03-31 06:57:38,13006154MM10A,2013-03-30,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-30,2013-03-31,0,1,1098,0,0 +6213,joanna english,joanna,english,2013-03-20,Female,1976-04-06,40,25 - 45,Caucasian,0,2,0,0,1,-55,2013-01-24 11:43:37,2013-01-25 08:58:42,13001192CF10A,2013-01-24,,55,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-10-06,2013-10-06,1,0,200,0,0 +6215,jamielle whittaker,jamielle,whittaker,2013-12-17,Female,1992-02-28,24,Less than 25,Other,0,3,0,0,0,-1,2013-12-16 08:36:34,2013-12-17 09:48:55,13017373CF10A,2013-12-16,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-17,Risk of Violence,3,Low,2013-12-17,2013-12-16,2013-12-17,0,0,836,0,0 +6216,kenneth haggins,kenneth,haggins,2013-04-20,Male,1993-04-21,22,Less than 25,African-American,0,4,0,0,0,-1,2013-04-19 11:29:08,2013-04-20 01:45:16,13005629CF10A,2013-04-19,,1,F,Burglary Dwelling Occupied,1,14002519CF10A,(F3),0,2014-02-22,Possession of Cannabis,2014-02-22,2014-02-23,,1,15011072MM10A,(M1),2015-10-01,Battery,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2014-02-22,2014-02-23,0,0,308,1,1 +6219,robert coleman,robert,coleman,2013-03-28,Male,1980-01-25,36,25 - 45,African-American,0,8,0,0,4,,,,11028234MM10A,,2013-03-27,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-28,Risk of Violence,5,Medium,2013-03-28,,,4,0,1100,0,0 +6221,kenneth scott,kenneth,scott,2013-01-22,Male,1977-10-30,38,25 - 45,Caucasian,0,2,0,0,2,0,2013-01-22 02:44:16,2013-02-19 08:46:07,13001490MM10A,2013-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,1,Low,2013-01-22,2015-01-09,2015-01-09,2,28,717,0,0 +6222,mickel dhanoolal,mickel,dhanoolal,2014-09-21,Male,1993-01-17,23,Less than 25,Other,0,3,0,0,0,0,2014-09-21 03:56:39,2014-09-24 04:09:04,14012781CF10A,2014-09-21,,0,F,Felony Battery (Dom Strang),1,15079662TC30A,(M2),,2015-10-05,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,3,Low,2014-09-21,Risk of Violence,4,Low,2014-09-21,2014-09-21,2014-09-24,0,3,379,1,1 +6223,leroy bailey,leroy,bailey,2013-10-22,Male,1961-05-15,54,Greater than 45,Other,0,1,0,0,2,-1,2013-10-21 09:41:20,2013-10-22 08:05:35,13019946MM10A,2013-10-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-10-22,2,0,892,0,0 +6224,isaac salmeronoliva,isaac,salmeronoliva,2013-01-21,Male,1991-08-06,24,Less than 25,Hispanic,0,4,0,0,1,0,2013-01-21 11:48:52,2013-02-01 08:09:36,13000972CF10A,,2013-01-21,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-21,Risk of Violence,4,Low,2013-01-21,2013-01-21,2013-02-01,1,11,1166,0,0 +6226,katherine pugliese,katherine,pugliese,2013-04-08,Female,1972-03-05,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-07 09:28:33,2013-04-08 08:23:11,13006658MM10A,2013-04-07,,1,M,Disorderly Conduct,1,14005177CF10A,(M2),1,2014-04-12,Criminal Mischief Damage <$200,2014-04-13,2014-06-20,,1,14005177CF10A,(M1),2014-04-12,Battery,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2015-05-24,2015-06-27,0,0,369,1,1 +6227,keya jackson,keya,jackson,2013-04-15,Female,1993-03-04,23,Less than 25,African-American,0,7,0,0,2,,,,13005376CF10A,2013-04-14,,1,F,Aggrav Battery w/Deadly Weapon,1,14000727MM20A,(M1),,2014-02-08,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-15,Risk of Violence,7,Medium,2013-04-15,,,2,0,299,1,1 +6228,kevin watrous,kevin,watrous,2013-10-30,Male,1952-03-22,64,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-29 11:55:33,2013-10-30 08:18:51,13020467MM10A,2013-10-29,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2013-10-29,2013-10-30,0,0,884,0,0 +6229,phillip gomez,phillip,gomez,2013-03-18,Male,1977-05-17,38,25 - 45,Caucasian,0,5,0,0,5,-18,2013-02-28 06:08:11,2013-02-28 08:42:37,13003069CF10A,2013-02-28,,18,M,Felony/Driving Under Influence,1,13030232TC10A,(M1),0,2013-07-27,Opert With Susp DL 2nd Offens,2013-07-27,2013-07-28,,0,,,,,Risk of Recidivism,5,Medium,2013-03-18,Risk of Violence,2,Low,2013-03-18,2013-04-25,2013-04-26,5,0,38,0,1 +6230,julietta gustave,julietta,gustave,2013-08-19,Female,1970-11-04,45,Greater than 45,Other,0,1,0,0,0,-1,2013-08-18 09:01:18,2013-08-19 08:01:53,13015663MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-19,0,0,956,0,0 +6231,torrence howard,torrence,howard,2013-10-10,Male,1966-07-31,49,Greater than 45,African-American,0,5,0,0,1,-1,2013-10-09 04:35:47,2013-10-14 09:00:33,13014180CF10A,2013-10-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-10,Risk of Violence,6,Medium,2013-10-10,2013-10-09,2013-10-14,1,4,904,0,0 +6234,delvea crew,delvea,crew,2013-08-01,Female,1971-02-20,45,Greater than 45,African-American,0,7,0,0,3,,,,95012273CF10A,1995-07-13,,6594,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-01,Risk of Violence,2,Low,2013-08-01,,,3,0,974,0,0 +6236,phat huynh,phat,huynh,2014-03-02,Male,1982-09-13,33,25 - 45,Asian,0,1,0,0,0,-1,2014-03-01 11:10:20,2014-03-02 07:53:27,14003542MM10A,2014-03-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-02,Risk of Violence,1,Low,2014-03-02,2014-03-01,2014-03-02,0,0,761,0,0 +6238,raymond martinez,raymond,martinez,2013-03-29,Male,1971-12-09,44,25 - 45,Hispanic,0,2,0,0,2,-1,2013-03-28 05:17:58,2013-03-29 09:19:00,13004500CF10A,2013-03-28,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-29,Risk of Violence,1,Low,2013-03-29,2013-03-28,2013-03-29,2,0,1099,0,0 +6239,winston stanley,winston,stanley,2013-09-10,Male,1964-12-28,51,Greater than 45,African-American,0,1,0,0,3,-1,2013-09-09 08:22:20,2013-09-12 08:28:20,13012748CF10A,,2013-09-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-12,3,2,934,0,0 +6240,william jamison,william,jamison,2013-01-27,Male,1965-10-07,50,Greater than 45,African-American,0,1,0,0,0,0,2013-01-27 03:37:16,2013-01-28 02:50:27,13001318CF10A,2013-01-27,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-27,Risk of Violence,1,Low,2013-01-27,2014-03-05,2014-03-09,0,1,402,0,0 +6241,jason cousino,jason,cousino,2013-10-11,Male,1982-12-29,33,25 - 45,Caucasian,0,2,2,0,2,-22,2013-09-19 09:34:52,2013-10-11 06:19:13,13017888MM10A,2013-09-19,,22,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-11,Risk of Violence,2,Low,2013-10-11,2013-09-19,2013-10-11,2,0,903,0,0 +6242,josefa opert,josefa,opert,2014-01-16,Female,1962-01-29,54,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-15 02:16:34,2014-02-14 01:29:00,14000766MM10A,2014-01-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2014-01-15,2014-02-14,0,29,806,0,0 +6244,gabriel araujo,gabriel,araujo,2013-11-02,Male,1987-08-21,28,25 - 45,Hispanic,0,5,0,0,3,-1,2013-11-01 11:03:45,2013-11-02 08:37:34,13015249CF10A,2013-11-01,,1,F,Possession of Cannabis,1,15014494CF10A,(F3),0,2015-11-07,Possession of Cannabis,2015-11-07,2015-11-08,,0,,,,,Risk of Recidivism,5,Medium,2013-11-02,Risk of Violence,3,Low,2013-11-02,2014-02-07,2014-02-23,3,0,97,0,1 +6245,michael ciriago,michael,ciriago,2014-02-20,Male,1982-09-23,33,25 - 45,Caucasian,0,9,0,1,14,-78,2013-12-04 09:02:14,2014-02-12 11:17:42,13016873CF10A,,2013-12-04,78,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-20,Risk of Violence,8,High,2014-02-20,2014-11-25,2014-12-06,14,0,278,0,0 +6247,devon whitehead,devon,whitehead,2013-01-07,Male,1973-10-18,42,25 - 45,African-American,0,7,0,0,17,-1,2013-01-06 08:45:25,2013-02-27 05:23:47,12022271MM10A,,2013-01-07,0,M,arrest case no charge,1,14001400CF10A,(M1),0,2014-01-31,Possess Drug Paraphernalia,2014-01-31,2014-02-02,,0,,,,,Risk of Recidivism,7,Medium,2013-01-07,Risk of Violence,4,Low,2013-01-07,2014-01-31,2014-02-02,17,51,389,1,1 +6248,scott jimison,scott,jimison,2013-10-23,Male,1981-08-05,34,25 - 45,Caucasian,0,1,0,0,3,-1,2013-10-22 09:14:51,2013-10-23 11:28:30,13014740CF10A,2013-10-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2013-10-22,2013-10-23,3,0,891,0,0 +6249,james pardee,james,pardee,2013-05-17,Male,1977-11-20,38,25 - 45,Caucasian,0,3,0,0,2,-1,2013-05-16 01:51:33,2013-05-25 07:15:10,13006992CF10A,2013-05-16,,1,F,Corrupt Public Servant,1,13036967TC10A,(M2),,2013-06-28,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-17,Risk of Violence,3,Low,2013-05-17,2013-05-16,2013-05-25,2,8,42,1,1 +6250,kalif fletcher,kalif,fletcher,2013-01-17,Male,1994-06-07,21,Less than 25,African-American,0,9,0,0,1,-1,2013-01-16 04:32:53,2013-01-17 07:40:18,13000768CF10A,2013-01-16,,1,F,Bribery Athletic Contests,1,13008535MM10A,(M1),1,2013-05-02,Resist/Obstruct W/O Violence,2013-05-03,2013-05-04,,1,13016054CF10A,(M2),2013-11-19,Assault,Risk of Recidivism,9,High,2013-01-17,Risk of Violence,8,High,2013-01-17,2015-08-08,2015-09-21,1,0,105,1,1 +6251,kenson jeanpierre,kenson,jeanpierre,2013-10-05,Male,1982-10-06,33,25 - 45,African-American,0,4,0,0,5,0,2013-10-05 12:47:51,2013-10-05 07:14:01,13013964CF10A,2013-10-04,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-05,Risk of Violence,2,Low,2013-10-05,2013-10-05,2013-10-05,5,0,909,0,0 +6256,johnny jones,johnny,jones,2013-01-24,Male,1983-10-13,32,25 - 45,African-American,0,7,0,1,9,-1,2013-01-23 08:51:29,2013-02-15 09:20:28,11017426MM10A,,2013-01-23,1,M,arrest case no charge,1,13020739MM10A,(M1),1,2013-09-24,Resist/Obstruct W/O Violence,2013-09-25,2013-09-25,,1,15007306MM10A,(M1),2015-05-07,Battery,Risk of Recidivism,7,Medium,2013-01-24,Risk of Violence,4,Low,2013-01-24,2013-01-23,2013-02-15,9,22,243,1,1 +6259,nicholas satterfield,nicholas,satterfield,2014-01-01,Male,1970-06-26,45,Greater than 45,Caucasian,0,1,0,0,1,0,2014-01-01 03:58:45,2014-01-02 12:15:31,14000050MM10A,2014-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-01,Risk of Violence,1,Low,2014-01-01,2014-01-01,2014-01-02,1,1,821,0,0 +6260,matthew flaherty,matthew,flaherty,2014-04-30,Male,1985-08-18,30,25 - 45,Caucasian,0,8,0,0,1,-1,2014-04-29 09:21:44,2014-06-02 09:04:48,14005967CF10A,2014-04-29,,1,F,Possession Of Heroin,1,14008976MM10A,(M2),0,2014-06-05,Petit Theft,2014-06-05,2014-06-10,,0,,,,,Risk of Recidivism,8,High,2014-04-30,Risk of Violence,6,Medium,2014-04-30,2014-06-05,2014-06-10,1,33,36,1,1 +6264,nikki howard,nikki,howard,2014-02-13,Female,1986-11-12,29,25 - 45,African-American,0,10,0,0,0,-1,2014-02-12 09:29:02,2014-02-14 05:18:35,14002005CF10A,2014-02-12,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-02-13,Risk of Violence,7,Medium,2014-02-13,2014-02-12,2014-02-14,0,1,778,0,0 +6266,steven hill,steven,hill,2013-05-04,Male,1971-08-02,44,25 - 45,African-American,0,3,0,0,3,-86,2013-02-07 01:19:01,2013-02-08 06:24:09,13021431TC10A,2013-05-03,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-02-07,2013-02-08,3,0,1063,0,0 +6267,kyle johnson,kyle,johnson,2014-06-02,Female,1964-11-14,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-06-01 09:13:33,2014-06-09 09:06:51,14008727MM10A,2014-06-01,,1,M,Battery,1,14017658MO10A,(MO3),0,2014-12-16,Trespass,2014-12-16,2014-12-18,,0,,,,,Risk of Recidivism,1,Low,2014-06-02,Risk of Violence,1,Low,2014-06-02,2014-12-16,2014-12-18,0,7,197,1,1 +6268,brittany woodard,brittany,woodard,2014-01-29,Female,1988-03-22,28,25 - 45,African-American,0,3,0,0,0,-1,2014-01-28 10:38:19,2014-01-29 02:13:39,14001234CF10A,2014-01-28,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-29,Risk of Violence,3,Low,2014-01-29,2014-01-28,2014-01-29,0,0,793,0,0 +6271,arthur fogel,arthur,fogel,2014-01-01,Male,1989-03-10,27,25 - 45,Caucasian,0,3,0,0,1,-1,2013-12-31 09:37:13,2014-01-01 08:36:34,14000025CF10A,2013-12-31,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-01,Risk of Violence,2,Low,2014-01-01,2013-12-31,2014-01-01,1,0,821,0,0 +6274,danny bonilla,danny,bonilla,2014-11-25,Male,1987-08-25,28,25 - 45,Hispanic,0,10,0,0,16,-1,2014-11-24 07:31:04,2014-12-23 11:26:31,14015819CF10A,2014-11-24,,1,F,Possession Of Heroin,1,15003957CF10A,(F2),0,2015-03-24,Sell/Man/Del Pos/w/int Heroin,2015-03-24,2015-09-18,,0,,,,,Risk of Recidivism,10,High,2014-11-25,Risk of Violence,8,High,2014-11-25,2015-03-24,2015-09-18,16,28,119,1,1 +6278,chianti white,chianti,white,2014-03-25,Female,1985-06-06,30,25 - 45,African-American,0,2,0,0,0,0,2014-03-25 12:40:00,2014-03-25 09:14:31,14004158CF10A,2014-03-24,,1,F,Grand Theft on 65 Yr or Older,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-25,Risk of Violence,3,Low,2014-03-25,2014-03-25,2014-03-25,0,0,738,0,0 +6280,christopher guyer,christopher,guyer,2013-04-11,Male,1983-07-06,32,25 - 45,African-American,0,7,0,0,0,-1,2013-04-10 09:50:36,2013-04-12 06:00:18,13006970MM10A,2013-04-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-11,Risk of Violence,2,Low,2013-04-11,2013-04-10,2013-04-12,0,1,1086,0,0 +6281,john smith,john,smith,2013-08-23,Male,1988-11-18,27,25 - 45,Caucasian,0,4,0,0,5,-1,2013-08-22 10:46:01,2013-08-23 08:10:56,13011811CF10A,2013-08-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,3,Low,2013-08-23,2013-08-22,2013-08-23,5,0,952,0,0 +6282,joshua otero-andrews,joshua,otero-andrews,2014-06-27,Male,1994-06-17,21,Less than 25,Hispanic,0,5,0,0,1,-1,2014-06-26 04:39:10,2014-06-28 05:02:08,14008796CF10A,2014-06-26,,1,F,Battery on Law Enforc Officer,1,14040154TC10A,(M2),0,2014-10-30,Operating W/O Valid License,2014-10-30,2014-11-01,,0,,,,,Risk of Recidivism,5,Medium,2014-06-27,Risk of Violence,7,Medium,2014-06-27,2014-10-30,2014-11-01,1,1,125,1,1 +6284,vestin madaire,vestin,madaire,2013-05-14,Male,1995-03-11,21,Less than 25,African-American,0,5,0,0,0,-1,2013-05-13 07:56:26,2013-05-15 01:24:31,13006837CF10A,2013-05-13,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-14,Risk of Violence,7,Medium,2013-05-14,2015-03-17,2015-03-24,0,1,672,0,0 +6285,samantha lionakis,samantha,lionakis,2013-05-25,Female,1981-09-22,34,25 - 45,Caucasian,0,3,0,0,0,-1,2013-05-24 10:51:39,2013-07-26 06:10:54,13007423CF10A,2013-05-24,,1,F,Tamper With Witness/Victim/CI,1,14100611TC30A,(M2),,2014-12-03,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-25,Risk of Violence,2,Low,2013-05-25,2013-05-24,2013-07-26,0,62,557,1,1 +6286,marquis saunders,marquis,saunders,2013-09-27,Male,1992-03-23,24,Less than 25,African-American,0,9,0,0,7,-1,2013-09-26 06:27:06,2014-04-14 01:24:33,13013538CF10A,2013-09-26,,1,F,Crim Attempt/Solic/Consp,1,14010875MM10A,(M1),0,2014-07-16,Possess Cannabis/20 Grams Or Less,2014-07-16,2014-09-23,,0,,,,,Risk of Recidivism,9,High,2013-09-27,Risk of Violence,6,Medium,2013-09-27,2014-07-16,2014-09-23,7,199,292,1,1 +6287,walter rojas,walter,rojas,2013-04-08,Male,1984-04-13,32,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-07 07:03:09,2013-04-26 08:49:05,13006645MM10A,2013-04-07,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2013-04-07,2013-04-26,0,18,1089,0,0 +6289,holly roberts,holly,roberts,2013-05-16,Female,1978-01-20,38,25 - 45,Caucasian,0,6,0,0,5,-1,2013-05-15 10:43:19,2013-06-26 05:13:06,13006620CF10A,,2013-05-15,1,F,arrest case no charge,1,13019794MM10A,(M1),0,2013-10-19,Unlaw Use False Name/Identity,2013-10-19,2013-11-20,,0,,,,,Risk of Recidivism,6,Medium,2013-05-16,Risk of Violence,4,Low,2013-05-16,2013-10-19,2013-11-20,5,41,156,1,1 +6292,alvin farquharson,alvin,farquharson,2014-02-13,Male,1959-09-21,56,Greater than 45,African-American,0,1,0,0,3,-28,2014-01-16 12:26:12,2014-01-31 09:03:56,13007787MM10A,,2014-01-16,28,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2014-01-16,2014-01-31,3,0,778,0,0 +6293,yolette comete,yolette,comete,2013-02-23,Female,1971-04-26,44,25 - 45,African-American,0,1,0,0,0,-1,2013-02-22 01:00:39,2013-02-23 08:11:29,13003758MM10A,2013-02-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-23,0,0,1133,0,0 +6296,erwin auguste,erwin,auguste,2013-08-25,Male,1984-11-15,31,25 - 45,African-American,0,5,0,0,1,-1,2013-08-24 09:20:42,2013-08-25 08:18:28,13016209MM10A,2013-08-24,,1,M,DWLS Canceled Disqul 1st Off,1,13045063TC10A,(M2),,2013-11-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-25,Risk of Violence,2,Low,2013-08-25,2014-01-26,2014-01-27,1,0,79,1,1 +6297,brenda gonzalez,brenda,gonzalez,2013-05-21,Female,1991-01-19,25,25 - 45,Caucasian,0,7,0,0,6,-1,2013-05-20 07:27:50,2013-06-14 04:06:44,12015023CF10A,,2013-05-21,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-21,Risk of Violence,4,Low,2013-05-21,2013-05-20,2013-06-14,6,24,1046,0,0 +6299,ashanna simms,ashanna,simms,2013-09-10,Female,1995-06-27,20,Less than 25,African-American,0,5,0,0,0,-1,2013-09-09 08:08:27,2013-09-10 07:49:28,13017201MM10A,2013-09-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-10,Risk of Violence,7,Medium,2013-09-10,2013-09-09,2013-09-10,0,0,934,0,0 +6300,george snellturner,george,snellturner,2014-01-02,Male,1980-09-29,35,25 - 45,African-American,0,5,0,0,1,-1,2014-01-01 11:50:43,2014-01-03 01:39:37,02001473MM30A,2002-04-23,,4272,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-02,Risk of Violence,5,Medium,2014-01-02,2014-01-01,2014-01-03,1,1,820,0,0 +6301,epifania roman,epifania,roman,2013-08-24,Male,1982-10-10,33,25 - 45,African-American,0,4,0,0,1,-1,2013-08-23 08:13:02,2013-08-24 05:16:56,13011923CF10A,2013-08-23,,1,F,Agg Battery Grt/Bod/Harm,1,15000252MM10A,(M1),1,2015-01-06,Possess Cannabis/20 Grams Or Less,2015-01-07,2015-01-07,,0,,,,,Risk of Recidivism,4,Low,2013-08-24,Risk of Violence,3,Low,2013-08-24,2015-01-07,2015-01-07,1,0,500,1,1 +6302,micheal brown,micheal,brown,2014-02-02,Male,1992-03-29,24,Less than 25,African-American,0,3,0,0,0,-1,2014-02-01 03:37:21,2014-02-02 07:55:32,14001777MM10A,2014-02-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-02,Risk of Violence,4,Low,2014-02-02,2014-02-01,2014-02-02,0,0,789,0,0 +6303,zulma ramos,zulma,ramos,2013-09-30,Female,1975-04-29,40,25 - 45,Hispanic,0,2,0,0,2,-7,2013-09-23 10:17:27,2013-09-27 08:51:45,13042343TC10A,,2013-09-23,7,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-23,2013-09-27,2,0,914,0,0 +6304,reginald lovett,reginald,lovett,2014-07-02,Male,1988-12-28,27,25 - 45,African-American,0,9,0,0,9,0,2014-07-02 04:34:07,2014-07-02 08:17:07,14009085CF10A,2014-07-02,,0,F,Poss Pyrrolidinovalerophenone,1,15012386MM10A,(M2),,2015-11-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2014-07-02,Risk of Violence,8,High,2014-07-02,2014-09-17,2014-10-27,9,0,77,0,1 +6305,kentrell sibblis,kentrell,sibblis,2014-01-15,Female,1994-09-01,21,Less than 25,African-American,0,3,0,0,2,-72,2013-11-04 02:27:29,2013-11-05 02:13:57,14000244MM30A,2014-01-03,,12,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-15,Risk of Violence,5,Medium,2014-01-15,2013-11-04,2013-11-05,2,0,807,0,0 +6312,james walton,james,walton,2014-08-06,Male,1977-06-27,38,25 - 45,African-American,0,5,0,0,9,-1,2014-08-05 07:00:13,2014-08-07 05:07:25,14010662CF10A,2014-08-05,,1,F,Grand Theft in the 3rd Degree,1,14014846MM10A,(M2),0,2014-09-10,Trespass Struct/Conveyance,2014-09-10,2014-09-11,,1,14014846MM10A,(M1),2014-09-10,Battery,Risk of Recidivism,5,Medium,2014-08-06,Risk of Violence,4,Low,2014-08-06,2014-09-10,2014-09-11,9,1,35,1,1 +6314,charles cocuzza,charles,cocuzza,2013-09-14,Male,1995-05-20,20,Less than 25,Caucasian,0,6,0,1,0,-1,2013-09-13 05:02:10,2013-09-14 07:08:23,13012953CF10A,2013-09-13,,1,F,Grand Theft Dwell Property,1,14007984MU10A,(M2),0,2014-03-02,Reckless Driving,2014-03-02,2014-03-02,,0,,,,,Risk of Recidivism,6,Medium,2013-09-14,Risk of Violence,9,High,2013-09-14,2014-03-02,2014-03-02,0,0,169,0,1 +6315,tavarus graham,tavarus,graham,2013-11-17,Male,1985-07-24,30,25 - 45,African-American,0,3,0,0,9,-1,2013-11-16 03:21:37,2013-11-17 08:27:24,13015955CF10A,2013-11-16,,1,F,Driving While License Revoked,1,15010842CF10A,(F3),0,2015-08-22,Driving While License Revoked,2015-08-22,2015-08-22,,0,,,,,Risk of Recidivism,3,Low,2013-11-17,Risk of Violence,2,Low,2013-11-17,2015-08-22,2015-08-22,9,0,643,0,1 +6317,richard mendez,richard,mendez,2013-04-06,Male,1980-03-23,36,25 - 45,Caucasian,0,6,0,0,9,0,2013-04-06 01:15:11,2013-04-25 06:15:47,12005343CF10A,,2013-04-06,0,F,arrest case no charge,1,14005379MM10A,(M1),1,2014-03-28,Battery,2014-03-29,2014-04-10,,1,14005379MM10A,(M1),2014-03-28,Battery,Risk of Recidivism,6,Medium,2013-04-06,Risk of Violence,4,Low,2013-04-06,2013-04-25,2013-11-25,9,233,356,1,1 +6319,louivens narcisse,louivens,narcisse,2014-01-28,Male,1992-07-21,23,Less than 25,African-American,0,9,0,0,2,-1,2014-01-27 09:20:56,2014-02-04 01:09:43,14001495MM10A,2014-01-27,,1,M,Viol Injunct Domestic Violence,1,16000063MM20A,(M1),,2015-12-28,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2014-01-28,Risk of Violence,9,High,2014-01-28,2014-01-27,2014-02-04,2,7,699,1,1 +6320,michael mcdonald,michael,mcdonald,2014-08-27,Male,1977-03-04,39,25 - 45,African-American,0,10,0,0,21,-1,2014-08-26 11:59:56,2014-08-27 04:21:26,14011644CF10A,2014-08-26,,1,F,Driving While License Revoked,1,15018405TC40A,(M2),,2015-03-11,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2014-08-27,Risk of Violence,8,High,2014-08-27,2016-01-25,2016-04-05,21,0,196,1,1 +6321,andrew williams,andrew,williams,2013-02-23,Male,1983-07-06,32,25 - 45,African-American,0,6,0,0,3,,,,11013722MM10A,2011-05-12,,653,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-23,Risk of Violence,3,Low,2013-02-23,2004-06-17,2007-11-05,3,0,1133,0,0 +6322,michael fajardo,michael,fajardo,2014-11-09,Male,1986-08-07,29,25 - 45,Caucasian,0,6,0,0,3,-1,2014-11-08 11:54:31,2014-11-09 09:53:55,14014994CF10A,2014-11-08,,1,F,Pos Cannabis W/Intent Sel/Del,1,15003126MM40A,(M1),,2015-08-04,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2014-11-09,Risk of Violence,3,Low,2014-11-09,2015-08-15,2015-08-16,3,0,268,1,1 +6323,peter chovan,peter,chovan,2013-04-27,Male,1957-10-10,58,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-04-26 09:01:52,2013-04-27 07:25:54,13008103MM10A,2013-04-26,,1,M,Viol Injunct Domestic Violence,1,13008903MM10A,(M1),0,2013-05-08,Viol Prot Injunc Repeat Viol,2013-05-08,2013-05-09,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-05-08,2013-05-09,2,0,11,1,1 +6324,mitchell machado,mitchell,machado,2013-04-26,Male,1993-02-23,23,Less than 25,Hispanic,0,7,0,1,2,-1,2013-04-25 02:38:32,2013-05-30 09:53:56,13005930CF10A,2013-04-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2013-04-25,2013-05-30,2,34,1071,0,0 +6326,luis velasques,luis,velasques,2013-01-27,Male,1993-02-08,23,Less than 25,Caucasian,0,8,0,0,3,-1,2013-01-26 07:15:26,2013-02-21 09:21:04,13001862MM10A,2013-01-26,,1,M,Petit Theft,1,13005848MM10A,(M1),0,2013-03-25,Battery,2013-03-25,2013-05-23,,1,13005848MM10A,(M1),2013-03-25,Battery,Risk of Recidivism,8,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2013-03-25,2013-05-23,3,25,57,1,1 +6328,joseph hepburn,joseph,hepburn,2013-10-21,Female,1947-06-27,68,Greater than 45,African-American,0,2,0,0,5,-4,2013-10-17 11:55:00,2013-10-18 07:57:32,13014557CF10A,2013-10-17,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2013-10-17,2013-10-18,5,0,893,0,0 +6330,alexandra bastante,alexandra,bastante,2013-04-23,Female,1989-09-12,26,25 - 45,Caucasian,0,5,0,0,2,0,2013-04-23 04:28:21,2013-04-23 07:38:37,13007875MM10A,2013-04-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-23,Risk of Violence,4,Low,2013-04-23,2013-04-23,2013-04-23,2,0,1074,0,0 +6332,mark evans,mark,evans,2014-05-23,Male,1965-03-03,51,Greater than 45,African-American,0,4,0,0,0,-1,2014-05-22 04:51:07,2014-05-23 08:08:14,14007156CF10A,2014-05-22,,1,F,Possession of Cocaine,1,14043815TC40A,(M2),,2014-06-16,Driving License Suspended,,,,1,16000727CF10A,(F3),2016-01-16,Child Abuse,Risk of Recidivism,4,Low,2014-05-23,Risk of Violence,1,Low,2014-05-23,2016-01-18,2016-01-22,0,0,24,1,1 +6335,brittany shenett,brittany,shenett,2014-02-14,Male,1991-03-18,25,25 - 45,African-American,0,2,0,0,0,-1,2014-02-13 08:49:07,2014-02-14 01:09:30,14002560MM10A,2014-02-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-14,Risk of Violence,3,Low,2014-02-14,2014-02-13,2014-02-14,0,0,777,0,0 +6336,ricky brownlee,ricky,brownlee,2013-01-02,Male,1975-11-03,40,25 - 45,African-American,0,9,0,0,5,0,2013-01-02 03:03:13,2013-02-26 06:26:53,13000066CF10A,2013-01-01,,1,F,Felony Driving While Lic Suspd,1,15002141CF10A,(F3),,2015-02-15,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,9,High,2013-01-02,Risk of Violence,10,High,2013-01-02,2013-02-26,2013-11-03,5,305,774,1,1 +6337,john coleman,john,coleman,2014-02-04,Male,1964-08-14,51,Greater than 45,African-American,0,5,0,0,14,-11,2014-01-24 12:28:43,2014-02-01 10:20:54,10008126CF10A,,2014-01-24,11,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-04,Risk of Violence,2,Low,2014-02-04,2015-07-27,2015-09-10,14,0,538,0,0 +6338,dernard adderley,dernard,adderley,2013-01-04,Male,1988-05-29,27,25 - 45,African-American,0,5,0,0,2,-1,2013-01-03 08:36:07,2013-01-18 09:00:58,13000178MM10A,2013-01-03,,1,M,Prowling/Loitering,1,13001871MM10A,(M2),0,2013-01-26,Prowling/Loitering,2013-01-26,2013-02-21,,0,,,,,Risk of Recidivism,5,Medium,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-01-26,2013-02-21,2,14,22,1,1 +6339,tracy boles,tracy,boles,2014-10-20,Male,1966-06-02,49,Greater than 45,African-American,0,5,0,0,11,-1,2014-10-19 09:18:54,2014-11-20 09:28:01,14015227MM10A,2014-10-19,,1,M,Viol Prot Injunc Repeat Viol,1,16002753MM10A,(M1),0,2016-03-23,,2016-03-23,2016-03-23,,0,,,,,Risk of Recidivism,5,Medium,2014-10-20,Risk of Violence,4,Low,2014-10-20,2016-03-23,2016-03-23,11,31,520,0,1 +6341,wally germain-philistin,wally,germain-philistin,2014-01-22,Male,1980-01-23,36,25 - 45,Other,0,1,0,0,0,-1,2014-01-21 12:17:06,2014-01-24 03:19:22,14001013MM10A,2014-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2014-01-21,2014-01-24,0,2,800,0,0 +6344,christopher anchia,christopher,anchia,2013-05-02,Male,1987-11-16,28,25 - 45,Caucasian,0,7,0,0,5,-76,2013-02-15 04:11:18,2013-02-21 12:49:55,12015748MM10A,,2012-10-31,183,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-02,Risk of Violence,6,Medium,2013-05-02,2015-08-31,2015-09-03,5,0,851,0,0 +6345,bryant yopp,bryant,yopp,2013-08-06,Male,1995-06-16,20,Less than 25,African-American,0,3,0,0,0,-4,2013-08-02 12:53:34,2013-08-06 10:33:58,13010785CF10A,2013-08-01,,5,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-06,Risk of Violence,6,Medium,2013-08-06,2013-08-02,2013-08-06,0,0,969,0,0 +6347,romario eliacin,romario,eliacin,2013-08-22,Male,1994-09-29,21,Less than 25,African-American,0,10,0,0,2,0,2013-08-22 03:00:48,2013-11-16 04:47:00,13011798CF10A,2013-08-22,,0,F,Possession of Cocaine,1,14008784MM10A,(M1),0,2014-04-30,Use Lost Or Stolen Credit Card,2014-04-30,2014-05-06,,0,,,,,Risk of Recidivism,10,High,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2014-04-30,2014-05-06,2,86,251,1,1 +6349,gerald mackey,gerald,mackey,2013-09-11,Female,1985-04-17,31,25 - 45,African-American,0,2,0,0,0,0,2013-09-11 02:25:29,2013-09-12 05:28:48,13012845CF10A,2013-09-10,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-11,Risk of Violence,2,Low,2013-09-11,2013-09-11,2013-09-12,0,1,933,0,0 +6353,frantz guerrier,frantz,guerrier,2013-05-27,Male,1958-08-08,57,Greater than 45,African-American,0,1,0,0,0,0,2013-05-27 01:52:05,2013-05-28 01:12:21,13010156MM10A,2013-05-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-27,2013-05-28,0,1,1040,0,0 +6354,marianne mackiewicz,marianne,mackiewicz,2013-05-07,Female,1954-12-08,61,Greater than 45,Caucasian,0,3,0,0,8,0,2013-05-07 12:19:29,2013-06-07 08:21:35,13006542CF10A,2013-05-06,,1,F,Resist Officer w/Violence,1,15007955MM10A,(M1),0,2015-07-27,Petit Theft $100- $300,2015-07-27,2015-08-10,,0,,,,,Risk of Recidivism,3,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2013-09-19,2013-11-08,8,31,135,0,1 +6356,danny diaz,danny,diaz,2014-04-04,Male,1980-05-24,35,25 - 45,Hispanic,0,1,0,0,3,-23,2014-03-12 08:21:31,2014-03-22 02:23:24,14003503CF10A,2014-03-12,,23,F,Burglary Structure Unoccup,1,15008627MM10A,(M1),0,2015-08-15,Battery,2015-08-15,2015-09-26,,1,15008627MM10A,(M1),2015-08-15,Battery,Risk of Recidivism,1,Low,2014-04-04,Risk of Violence,2,Low,2014-04-04,2015-08-15,2015-09-26,3,0,498,1,1 +6359,terry bradley,terry,bradley,2013-12-18,Male,1961-08-18,54,Greater than 45,African-American,0,6,0,0,3,-1,2013-12-17 02:05:51,2013-12-19 09:10:18,13016923CF10A,,2013-12-17,1,F,arrest case no charge,1,14006976TC10A,(M2),1,2014-02-23,Susp Drivers Lic 1st Offense,2014-02-24,2014-02-28,,0,,,,,Risk of Recidivism,6,Medium,2013-12-18,Risk of Violence,3,Low,2013-12-18,2013-12-17,2013-12-19,3,1,67,1,1 +6360,laura viera,laura,viera,2014-03-20,Male,1977-01-22,39,25 - 45,Caucasian,0,3,0,0,0,-1,2014-03-19 08:21:38,2014-03-20 10:14:17,14003890CF10A,2014-03-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-20,Risk of Violence,2,Low,2014-03-20,2014-03-19,2014-03-20,0,0,743,0,0 +6361,pierre breedlove,pierre,breedlove,2013-01-05,Male,1992-03-06,24,Less than 25,African-American,0,7,1,0,1,-1,2013-01-04 03:20:01,2013-02-06 10:00:42,13000178CF10A,2013-01-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-05,Risk of Violence,7,Medium,2013-01-05,2013-01-04,2013-02-06,1,32,1182,0,0 +6362,grace alvarado,grace,alvarado,2013-09-20,Female,1986-06-22,29,25 - 45,Hispanic,0,4,0,0,0,-1,2013-09-19 01:59:44,2013-09-20 07:48:00,13013217CF10A,2013-09-19,,1,F,Aggrav Battery w/Deadly Weapon,1,14002358TC30A,(M2),,2013-12-18,Unlaw LicTag/Sticker Attach,,,,1,15012789CF10A,(F2),2015-10-03,Agg Battery Grt/Bod/Harm,Risk of Recidivism,4,Low,2013-09-20,Risk of Violence,2,Low,2013-09-20,2015-10-03,2015-10-13,0,0,89,1,1 +6365,jarrett kendrick,jarrett,kendrick,2013-04-07,Male,1968-01-17,48,Greater than 45,African-American,0,9,0,1,8,-1,2013-04-06 01:01:53,2013-04-17 05:13:28,13004955CF10A,2013-04-06,,1,F,Possession of Cocaine,1,13010344CF10A,(F3),,2013-04-17,Sex Offender Fail Comply W/Law,,,,0,,,,,Risk of Recidivism,9,High,2013-04-07,Risk of Violence,4,Low,2013-04-07,2013-04-06,2013-04-17,8,10,11,1,1 +6367,carl myers,carl,myers,2013-05-08,Male,1985-09-03,30,25 - 45,African-American,0,7,0,1,6,0,2013-05-08 03:08:29,2013-05-08 07:08:40,13008897MM10A,2013-05-08,,0,M,Resist/Obstruct W/O Violence,1,14001183MM20A,(M1),,2014-04-09,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-08,Risk of Violence,3,Low,2013-05-08,2014-05-19,2014-05-20,6,0,336,1,1 +6368,demarcus robinson,demarcus,robinson,2013-05-26,Male,1989-06-02,26,25 - 45,African-American,0,10,1,0,10,-1,2013-05-25 08:48:32,2013-05-27 04:30:20,13007502CF10A,2013-05-25,,1,F,Possession of Cocaine,1,13044654TC10A,(M2),,2013-06-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-05-26,Risk of Violence,10,High,2013-05-26,2013-05-25,2013-05-27,10,1,34,1,1 +6369,jason gomez,jason,gomez,2013-12-05,Male,1979-10-03,36,25 - 45,Caucasian,0,5,0,0,2,,,,09012616CF10B,,2010-08-04,1219,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-05,Risk of Violence,3,Low,2013-12-05,,,2,0,848,0,0 +6371,travis floyd,travis,floyd,2013-01-11,Male,1979-01-23,37,25 - 45,African-American,0,9,0,0,12,0,2013-01-11 02:22:05,2013-01-11 08:05:10,13000512CF10A,2013-01-10,,1,F,Pos Cannabis W/Intent Sel/Del,1,15001191MM20A,(M1),,2015-04-22,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-01-11,Risk of Violence,8,High,2013-01-11,2013-07-03,2013-08-30,12,0,173,0,1 +6372,napoleon wilson,napoleon,wilson,2014-10-28,Male,1989-08-31,26,25 - 45,African-American,0,6,0,0,4,0,2014-10-28 01:38:25,2014-12-12 08:07:45,14014474CF10A,2014-10-27,,1,F,Burglary Dwelling Occupied,1,15007307CF10A,(M1),0,2015-06-04,Resist/Obstruct W/O Violence,2015-06-04,2015-06-20,,1,15007307CF10A,(F1),2015-06-04,Aggrav Child Abuse-Agg Battery,Risk of Recidivism,6,Medium,2014-10-28,Risk of Violence,3,Low,2014-10-28,2015-06-04,2015-06-20,4,45,219,1,1 +6373,joel felder,joel,felder,2013-01-21,Male,1986-08-03,29,25 - 45,African-American,0,10,0,0,7,0,2013-01-21 12:56:39,2013-01-30 05:11:15,13001407MM10A,2013-01-21,,0,M,Petit Theft,1,14006666CF10A,(F2),,2014-04-15,Dealing in Stolen Property,,,,0,,,,,Risk of Recidivism,10,High,2013-01-21,Risk of Violence,9,High,2013-01-21,2013-01-21,2013-01-30,7,9,449,1,1 +6375,pierre williams,pierre,williams,2013-03-04,Male,1989-09-25,26,25 - 45,African-American,0,6,0,0,1,-1,2013-03-03 11:28:54,2013-04-02 09:22:27,13004298MM10A,2013-03-03,,1,M,Viol Pretrial Release Dom Viol,1,13014230MM10A,(M1),0,2013-07-27,Unlaw Use False Name/Identity,2013-07-27,2013-07-28,,0,,,,,Risk of Recidivism,6,Medium,2013-03-04,Risk of Violence,5,Medium,2013-03-04,2013-07-27,2013-07-28,1,29,145,1,1 +6376,courtney brown,courtney,brown,2013-09-20,Male,1955-07-06,60,Greater than 45,African-American,0,1,0,0,2,0,2013-09-20 12:40:56,2013-09-21 04:29:15,13013224CF10A,2013-09-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-09-20,2013-09-21,2,1,924,0,0 +6377,manuel aguasvivas,manuel,aguasvivas,2014-09-17,Male,1988-12-06,27,25 - 45,Caucasian,0,7,0,0,2,-1,2014-09-16 11:16:42,2014-09-17 08:16:23,14012562CF10A,2014-09-16,,1,F,Poss/Sell/Del/Man Amobarbital,1,14012562CF10A,(M1),48,2014-11-17,Possess Cannabis/20 Grams Or Less,2015-01-04,2015-01-08,,0,,,,,Risk of Recidivism,7,Medium,2014-09-17,Risk of Violence,6,Medium,2014-09-17,2015-01-04,2015-01-08,2,0,61,1,1 +6378,greg jones,greg,jones,2013-04-25,Male,1974-05-20,41,25 - 45,African-American,2,7,0,0,16,379,2014-05-09 11:01:27,2014-05-09 08:25:07,13005865CF10A,2013-04-24,,1,F,Grand Theft in the 3rd Degree,1,14001804MM20A,(M2),,2014-04-09,Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,5,Medium,2013-04-25,2014-12-04,2016-03-16,16,0,349,1,1 +6379,daniel harris,daniel,harris,2013-01-15,Male,1994-04-14,22,Less than 25,Caucasian,0,6,0,1,1,-1,2013-01-14 04:29:03,2013-01-15 01:53:43,13000646CF10A,2013-01-14,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-15,Risk of Violence,7,Medium,2013-01-15,2013-04-07,2013-04-11,1,0,82,0,0 +6380,dantae sylvain,dantae,sylvain,2013-08-09,Male,1987-06-16,28,25 - 45,African-American,0,7,0,0,3,0,2013-08-09 03:57:00,2013-08-09 08:19:19,13011208CF10A,,2013-08-09,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-09,Risk of Violence,8,High,2013-08-09,2013-08-09,2013-08-09,3,0,966,0,0 +6381,jason walker,jason,walker,2013-02-22,Male,1982-11-05,33,25 - 45,African-American,0,6,0,0,13,0,2013-02-22 01:06:01,2013-02-22 07:19:24,13002656CF10A,2013-02-21,,1,F,Carrying Concealed Firearm,1,14015761CF10A,(M2),1,2014-11-23,Petit Theft,2014-11-24,2015-01-29,,0,,,,,Risk of Recidivism,6,Medium,2013-02-22,Risk of Violence,4,Low,2013-02-22,2014-09-09,2014-09-10,13,0,564,0,1 +6382,eric shaw,eric,shaw,2013-01-16,Male,1987-12-14,28,25 - 45,African-American,0,2,0,0,2,-1,2013-01-15 07:30:10,2013-05-20 09:16:44,12011014CF10A,,2013-01-15,1,F,arrest case no charge,1,15012141MM10A,(M1),0,2015-11-20,Resist/Obstruct W/O Violence,2015-11-20,2015-11-20,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,3,Low,2013-01-16,2013-07-05,2013-07-10,2,124,170,0,0 +6383,william walker,william,walker,2013-12-23,Male,1960-05-10,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-22 12:42:17,2013-12-22 01:00:00,13023553MM10A,2013-12-21,,2,M,Battery,1,14009604CF10A,(F3),0,2014-07-14,Felony Battery (Dom Strang),2014-07-14,2014-07-17,,1,14009604CF10A,(F3),2014-07-14,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2014-07-14,2014-07-17,0,0,203,1,1 +6384,arthur sweeting,arthur,sweeting,2013-11-09,Male,1994-11-07,21,Less than 25,African-American,0,8,1,0,6,-19,2013-10-21 11:14:12,2013-10-22 01:34:19,13015585CF10A,2013-11-08,,1,F,Burglary Unoccupied Dwelling,1,15011141MM10A,(M1),,2015-10-23,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,8,High,2013-11-09,Risk of Violence,7,Medium,2013-11-09,2014-06-11,2014-06-20,6,0,214,0,1 +6386,michael mora,michael,mora,2013-03-04,Male,1988-01-22,28,25 - 45,Hispanic,0,3,0,0,2,-1,2013-03-03 10:29:13,2013-03-05 09:58:12,13003218CF10A,2013-03-03,,1,F,Kidnapping / Domestic Violence,1,14049511TC30A,(M2),,2014-05-24,Driving License Suspended,,,,1,15004727MM10A,(M1),2015-04-25,Battery,Risk of Recidivism,3,Low,2013-03-04,Risk of Violence,2,Low,2013-03-04,2013-03-03,2013-03-05,2,1,446,1,1 +6387,kimberly santiago,kimberly,santiago,2014-02-11,Female,1994-02-11,22,Less than 25,Hispanic,0,2,0,0,0,-1,2014-02-10 10:29:08,2014-02-11 01:22:50,14002284MM10A,2014-02-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-11,Risk of Violence,4,Low,2014-02-11,2014-02-10,2014-02-11,0,0,780,0,0 +6389,amanda garrison,amanda,garrison,2014-12-20,Female,1986-06-05,29,25 - 45,Caucasian,0,7,0,0,6,-2,2014-12-18 11:49:33,2015-02-24 09:41:25,14016767CF10A,2014-12-18,,2,F,Possession of Cocaine,1,15002622MM10A,(M2),0,2015-03-03,Prostitution/Lewd Act Assignation,2015-03-03,2015-03-12,,0,,,,,Risk of Recidivism,7,Medium,2014-12-20,Risk of Violence,2,Low,2014-12-20,2015-03-03,2015-03-12,6,66,73,1,1 +6390,jean prince,jean,prince,2013-08-15,Male,1970-12-02,45,Greater than 45,African-American,0,1,0,0,5,230,2014-04-02 04:38:03,2014-04-03 09:26:00,14012353CF10A,2012-12-25,,233,F,Felony/Driving Under Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2014-04-02,2014-04-03,5,0,230,0,0 +6391,tyreak gant,tyreak,gant,2013-05-12,Male,1992-04-01,24,Less than 25,African-American,0,8,0,0,2,0,2013-05-12 12:29:59,2013-07-01 06:53:04,13009113MM10A,2013-05-11,,1,M,Tresspass Struct/Conveyance,1,13014563CF10A,(F2),1,2013-10-17,Burglary Unoccupied Dwelling,2013-10-18,2013-11-20,,0,,,,,Risk of Recidivism,8,High,2013-05-12,Risk of Violence,6,Medium,2013-05-12,2013-09-14,2013-09-23,2,50,125,0,1 +6392,richard tillman,richard,tillman,2013-03-05,Male,1965-10-15,50,Greater than 45,African-American,0,1,0,0,12,-22,2013-02-11 07:57:07,2013-02-12 08:00:25,13002123CF10A,2013-02-11,,22,F,Possession of Cocaine,1,14000507MM40A,(M1),,2013-12-13,Trespass Other Struct/Conve,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,1,Low,2013-03-05,2015-10-30,2015-12-07,12,0,283,1,1 +6393,markell hill,markell,hill,2014-05-18,Male,1991-05-03,24,Less than 25,African-American,0,6,0,0,1,-1,2014-05-17 11:21:14,2014-05-19 03:52:52,14008029MM10A,2014-05-17,,1,M,Battery,1,15009770CF10A,(F3),6,2015-07-23,Robbery Sudd Snatch No Weapon,2015-07-29,2015-11-20,,1,15009770CF10A,(F3),2015-07-23,Robbery Sudd Snatch No Weapon,Risk of Recidivism,6,Medium,2014-05-18,Risk of Violence,6,Medium,2014-05-18,2014-05-17,2014-05-19,1,1,431,1,1 +6394,gary payne,gary,payne,2013-01-22,Male,1968-07-26,47,Greater than 45,African-American,0,2,0,0,1,-1,2013-01-21 05:34:28,2013-03-12 01:00:34,97011469CF10A,,2013-01-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,3,Low,2013-01-22,2013-01-21,2013-03-12,1,49,1165,0,0 +6395,victorino perrone,victorino,perrone,2013-08-27,Male,1959-03-13,57,Greater than 45,Caucasian,0,1,0,0,1,,,,09000226MM10A,2009-01-03,,1697,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,,,1,0,948,0,0 +6396,bobby cook,bobby,cook,2013-03-15,Male,1961-08-29,54,Greater than 45,Caucasian,0,1,0,0,6,0,2013-03-15 01:04:54,2013-03-16 01:02:43,13003830CF10A,2013-03-15,,0,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2013-03-15,2013-03-16,6,1,1113,0,0 +6398,claudia campos,claudia,campos,2013-03-28,Female,1973-12-03,42,25 - 45,Caucasian,0,2,0,0,0,-1,2013-03-27 02:21:15,2013-03-28 07:29:08,13005983MM10A,2013-03-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-03-28,0,0,1100,0,0 +6399,joshua visbal,joshua,visbal,2013-03-22,Male,1980-12-08,35,25 - 45,Caucasian,0,3,0,0,5,-20,2013-03-02 11:26:56,2013-03-03 09:01:52,13003157CF10A,2013-03-02,,20,F,Cruelty to Animals,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,2,Low,2013-03-22,2013-03-02,2013-03-03,5,0,1106,0,0 +6400,cameron avery,cameron,avery,2013-12-07,Male,1985-07-12,30,25 - 45,African-American,0,4,0,0,0,-1,2013-12-06 03:42:21,2013-12-07 08:00:41,13016917CF10A,2013-12-06,,1,F,Driving While License Revoked,1,14072299TC40A,(M2),457,2014-10-06,Driving License Suspended,2016-01-06,2016-01-07,,0,,,,,Risk of Recidivism,4,Low,2013-12-07,Risk of Violence,2,Low,2013-12-07,2016-01-06,2016-01-07,0,0,303,1,1 +6401,peter liberatore,peter,liberatore,2013-02-13,Male,1962-06-09,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-02-12 11:20:43,2013-02-13 07:54:55,13002178CF10A,2013-02-12,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-02-12,2013-02-13,1,0,1143,0,0 +6402,patricia garcon,patricia,garcon,2014-02-28,Female,1985-03-02,31,25 - 45,African-American,0,3,0,0,2,-1,2014-02-27 05:08:53,2014-03-01 05:09:38,14003432MM10A,2014-02-27,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-28,Risk of Violence,2,Low,2014-02-28,2014-02-27,2014-03-01,2,1,763,0,0 +6405,gael oriorden,gael,oriorden,2013-08-08,Male,1932-09-24,83,Greater than 45,Caucasian,0,1,0,0,4,,,,05006279CF10A,,2009-09-15,1423,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,,,4,0,967,0,0 +6406,raul pina,raul,pina,2013-08-27,Male,1969-04-21,46,Greater than 45,Hispanic,0,6,0,0,15,,,,13012473CF10A,2013-04-30,,119,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-27,Risk of Violence,7,Medium,2013-08-27,2009-07-30,2010-04-05,15,0,948,0,0 +6409,vivian hill,vivian,hill,2014-11-15,Male,1985-04-07,31,25 - 45,African-American,0,2,0,0,0,-1,2014-11-14 04:26:21,2014-11-15 11:29:44,14015364CF10A,2014-11-14,,1,F,Pos Cannabis W/Intent Sel/Del,1,15005087CF10A,(F3),0,2015-04-18,Possession of Cocaine,2015-04-18,2015-06-26,,0,,,,,Risk of Recidivism,2,Low,2014-11-15,Risk of Violence,2,Low,2014-11-15,2015-04-18,2015-06-26,0,0,154,1,1 +6412,javaughn kerr,javaughn,kerr,2013-08-15,Male,1993-03-21,23,Less than 25,Other,0,10,0,0,4,-1,2013-08-14 05:29:49,2013-08-16 10:55:19,13011433CF10A,2013-08-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-15,Risk of Violence,10,High,2013-08-15,2013-08-14,2013-08-16,4,1,960,0,0 +6413,deonta harvard,deonta,harvard,2013-08-06,Male,1969-03-18,47,Greater than 45,African-American,0,4,0,0,9,-1,2013-08-05 06:18:35,2013-10-09 05:46:08,13013581CF10A,2013-08-05,,1,F,Felony Battery w/Prior Convict,1,15016053CF10A,(F3),0,2015-12-15,Possession Of Clonazepam,2015-12-15,2015-12-16,,0,,,,,Risk of Recidivism,4,Low,2013-08-06,Risk of Violence,2,Low,2013-08-06,2015-12-15,2015-12-16,9,64,861,1,0 +6414,jose monserrate,jose,monserrate,2013-02-17,Male,1984-05-31,31,25 - 45,Hispanic,0,6,0,0,4,,,,13002382CF10A,2013-02-16,,1,F,Agg Fleeing and Eluding,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-17,Risk of Violence,2,Low,2013-02-17,2015-11-12,2020-01-01,4,0,998,0,0 +6415,tracy parker,tracy,parker,2013-09-17,Male,1965-11-07,50,Greater than 45,African-American,0,8,0,0,0,,,,,,,,M,,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-17,Risk of Violence,5,Medium,2013-09-17,2013-09-16,2013-10-10,0,23,927,0,0 +6420,latta mcdonald,latta,mcdonald,2013-04-30,Male,1991-10-22,24,Less than 25,African-American,0,9,1,0,9,-1,2013-04-29 07:23:26,2013-05-02 09:55:11,13008284MM10A,2013-04-29,,1,M,Operating W/O Valid License,1,14005773MM10A,(M1),0,2014-03-17,Resist/Obstruct W/O Violence,2014-03-17,2014-08-19,,0,,,,,Risk of Recidivism,9,High,2013-04-30,Risk of Violence,5,Medium,2013-04-30,2013-06-04,2013-06-06,9,2,35,0,1 +6422,lateria green,lateria,green,2013-10-15,Female,1993-12-02,22,Less than 25,African-American,0,9,1,0,2,-1,2013-10-14 09:45:50,2013-10-17 09:23:49,13014368CF10A,2013-10-14,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-15,Risk of Violence,8,High,2013-10-15,2013-10-14,2013-10-17,2,2,899,0,0 +6424,jorge sinisterra,jorge,sinisterra,2013-02-08,Male,1971-04-04,45,Greater than 45,Hispanic,0,1,0,0,1,-22,2013-01-17 06:04:20,2013-01-17 06:56:34,13001205MM10A,2013-01-17,,22,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-08,Risk of Violence,1,Low,2013-02-08,2013-01-17,2013-01-17,1,0,1148,0,0 +6425,sharhonda campbell,sharhonda,campbell,2014-01-22,Female,1986-01-30,30,25 - 45,African-American,0,2,0,0,2,-1,2014-01-21 11:10:03,2014-01-22 09:10:18,14000868CF10A,2014-01-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-22,Risk of Violence,2,Low,2014-01-22,2014-01-21,2014-01-22,2,0,800,0,0 +6426,sean atkinstall,sean,atkinstall,2013-01-05,Male,1985-06-01,30,25 - 45,Other,0,8,0,0,5,-1,2013-01-04 08:12:30,2013-01-10 01:43:15,12039480TC10A,,2012-12-06,30,M,arrest case no charge,1,14046546TC30A,(M2),,2014-05-13,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-01-05,Risk of Violence,3,Low,2013-01-05,2013-01-04,2013-01-10,5,5,493,1,1 +6427,tavares williams,tavares,williams,2013-11-14,Male,1980-01-04,36,25 - 45,African-American,0,2,0,0,4,,,,06093744TC20A,2006-10-14,,2588,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-14,Risk of Violence,3,Low,2013-11-14,,,4,0,869,0,0 +6428,cynthia lanford,cynthia,lanford,2014-07-11,Female,1972-07-18,43,25 - 45,Caucasian,0,10,0,0,22,-1,2014-07-10 12:37:17,2014-08-06 05:04:56,14002808MO40A,2014-07-10,,1,M,Trespass Private Property,1,14010835CF10A,(F3),0,2014-08-08,Felony Committing Prostitution,2014-08-08,2015-02-22,,0,,,,,Risk of Recidivism,10,High,2014-07-11,Risk of Violence,4,Low,2014-07-11,2014-08-08,2015-02-22,22,26,28,1,1 +6430,lefort eugene,lefort,eugene,2013-04-22,Male,1966-03-07,50,Greater than 45,African-American,0,1,0,0,0,0,2013-04-22 01:45:49,2013-04-22 06:41:19,13007798MM10A,2013-04-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-22,2013-04-22,0,0,1075,0,0 +6431,janelle levybuissereth,janelle,levybuissereth,2014-07-09,Female,1991-11-28,24,Less than 25,Other,0,4,0,0,2,-1,2014-07-08 03:40:37,2014-07-09 07:31:40,14009362CF10A,2014-07-08,,1,F,Possession Of Methamphetamine,1,14013717CF10A,(F2),0,2014-10-11,Aggravated Battery,2014-10-11,2014-11-13,,1,14013717CF10A,(F2),2014-10-11,Aggravated Battery,Risk of Recidivism,4,Low,2014-07-09,Risk of Violence,3,Low,2014-07-09,2014-10-11,2014-11-13,2,0,94,1,1 +6432,shaneen avramides,shaneen,avramides,2013-02-11,Female,1973-04-20,42,25 - 45,Caucasian,0,5,0,0,3,-3,2013-02-08 09:19:36,2013-02-09 01:26:38,13001984CF10A,2013-02-08,,3,F,False Ownership Info/Pawn Item,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-11,Risk of Violence,1,Low,2013-02-11,2014-09-08,2014-09-16,3,0,574,0,0 +6433,samantha west,samantha,west,2014-11-13,Female,1986-11-12,29,25 - 45,Caucasian,0,7,0,0,1,-1,2014-11-12 02:53:26,2014-11-25 09:30:44,14015187CF10A,2014-11-12,,1,F,Grand Theft in the 3rd Degree,1,15010279CF10A,(F3),0,2015-08-10,Possession of Hydromorphone,2015-08-10,2015-11-12,,0,,,,,Risk of Recidivism,7,Medium,2014-11-13,Risk of Violence,5,Medium,2014-11-13,2015-06-29,2015-07-09,1,12,228,0,1 +6434,valerie alberto,valerie,alberto,2013-07-08,Female,1987-12-30,28,25 - 45,Hispanic,0,3,0,0,2,,,,11019061CF10A,2011-11-19,,597,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-08,Risk of Violence,3,Low,2013-07-08,,,2,0,998,0,0 +6436,prem alvarez,prem,alvarez,2013-03-24,Male,1985-04-10,31,25 - 45,Hispanic,0,1,0,0,0,0,2013-03-24 07:11:37,2013-03-25 08:17:18,13005765MM10A,2013-03-24,,0,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-24,Risk of Violence,1,Low,2013-03-24,2013-03-24,2013-03-25,0,1,1104,0,0 +6439,brion daniels,brion,daniels,2014-09-28,Male,1991-02-13,25,25 - 45,African-American,0,9,0,0,5,-1,2014-09-27 04:41:31,2014-11-20 10:01:09,14013078CF10A,,2014-09-27,1,F,arrest case no charge,1,14017393MM10A,(M1),0,2014-12-10,Battery,2014-12-10,2015-01-22,,1,14017393MM10A,(M1),2014-12-10,Battery,Risk of Recidivism,9,High,2014-09-28,Risk of Violence,6,Medium,2014-09-28,2014-12-10,2015-01-22,5,53,73,1,1 +6441,renard kitchen,renard,kitchen,2013-05-12,Male,1979-07-29,36,25 - 45,African-American,0,5,0,0,4,0,2013-05-12 01:05:46,2013-05-13 03:22:20,13006791CF10A,2013-05-11,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-12,Risk of Violence,3,Low,2013-05-12,2013-11-12,2014-01-07,4,1,184,0,0 +6442,terrance singleton,terrance,singleton,2013-05-03,Male,1992-03-27,24,Less than 25,African-American,0,5,0,0,1,-1,2013-05-02 03:02:18,2013-05-04 03:36:58,13008546MM10A,2013-05-02,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,1,14002861MM40A,(M1),,2014-06-16,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-03,Risk of Violence,7,Medium,2013-05-03,2013-05-02,2013-05-04,1,1,409,1,1 +6443,trevor cox,trevor,cox,2013-04-14,Male,1987-12-30,28,25 - 45,Caucasian,0,5,0,0,5,0,2013-04-14 03:00:32,2013-04-14 07:15:58,13005377CF10A,2013-04-14,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-14,Risk of Violence,4,Low,2013-04-14,2013-04-14,2013-04-14,5,0,1083,0,0 +6446,joseph letohic,joseph,letohic,2014-11-22,Male,1984-07-11,31,25 - 45,Caucasian,0,1,0,0,0,-1,2014-11-21 08:37:59,2014-11-22 08:22:21,14016652MM10A,2014-11-21,,1,M,Battery,1,15010812MM10A,(M1),1,2015-10-14,Battery,2015-10-15,2015-10-16,,1,15010812MM10A,(M1),2015-10-14,Battery,Risk of Recidivism,1,Low,2014-11-22,Risk of Violence,1,Low,2014-11-22,2015-10-15,2015-10-16,0,0,326,1,1 +6447,jodelyn orne,jodelyn,orne,2013-02-09,Male,1992-09-13,23,Less than 25,African-American,0,4,0,0,0,-1,2013-02-08 06:33:18,2013-02-11 08:47:47,13001976CF10A,2013-02-08,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2014-08-28,2015-04-28,0,2,565,0,0 +6448,emigdio rodriguez,emigdio,rodriguez,2013-04-12,Male,1987-02-10,29,25 - 45,Caucasian,0,6,0,0,4,-1,2013-04-11 11:52:52,2013-04-18 11:54:40,13007014MM10A,2013-04-11,,1,M,Viol Injunct Domestic Violence,1,13009787MM10A,(M2),0,2013-05-21,Prowling/Loitering,2013-05-21,2013-05-21,,1,14018152MM10A,(M1),2014-12-29,Battery,Risk of Recidivism,6,Medium,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-05-21,2013-05-21,4,6,39,0,1 +6449,gerrick manley,gerrick,manley,2013-08-13,Male,1964-10-17,51,Greater than 45,African-American,0,5,0,0,11,-1,2013-08-12 03:47:07,2013-10-30 09:56:54,13015210MM10A,2013-08-12,,1,M,Petit Theft $100- $300,1,15001323MM20A,(M2),,2015-05-14,Petit Theft,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-13,Risk of Violence,7,Medium,2013-08-13,2013-08-12,2013-10-30,11,78,639,1,1 +6450,rashid labonte,rashid,labonte,2013-01-10,Male,1982-03-23,34,25 - 45,African-American,0,5,0,0,1,-1,2013-01-09 01:08:47,2013-01-10 05:09:51,13000388CF10A,2013-01-09,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-10,Risk of Violence,3,Low,2013-01-10,2013-01-09,2013-01-10,1,0,1177,0,0 +6451,franklin beckwith,franklin,beckwith,2013-11-01,Male,1986-05-18,29,25 - 45,African-American,0,2,0,0,12,0,2013-11-01 05:44:04,2013-11-01 08:52:01,13015256CF10A,2013-11-01,,0,F,Driving While License Revoked,1,14000203CF10A,(F3),0,2014-01-05,Driving While License Revoked,2014-01-05,2014-02-12,,0,,,,,Risk of Recidivism,2,Low,2013-11-01,Risk of Violence,4,Low,2013-11-01,2014-01-05,2014-02-12,12,0,65,1,1 +6453,herman hankerson,herman,hankerson,2014-07-12,Male,1976-07-27,39,25 - 45,African-American,0,10,1,0,13,-1,2014-07-11 01:26:51,2014-07-12 08:02:59,14009514CF10A,2014-07-11,,1,F,Possession of Cocaine,1,15007243MM10A,(M1),0,2015-07-07,Trespass After Warning,2015-07-07,2015-09-18,,0,,,,,Risk of Recidivism,10,High,2014-07-12,Risk of Violence,6,Medium,2014-07-12,2015-07-07,2015-09-18,13,0,360,1,1 +6458,magalys aulet,magalys,aulet,2013-04-07,Female,1979-12-25,36,25 - 45,Hispanic,0,2,0,0,0,0,2013-04-07 02:43:54,2013-04-07 06:10:19,13005023CF10A,2013-04-06,,1,M,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2013-04-07,2013-04-07,0,0,1090,0,0 +6459,billy worthy,billy,worthy,2014-03-12,Male,1957-02-18,59,Greater than 45,African-American,0,6,0,0,15,-1,2014-03-11 09:33:06,2014-03-26 05:34:47,13021000MM10A,,2014-03-11,1,M,arrest case no charge,1,14080845TC20A,(M2),,2014-11-11,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-12,Risk of Violence,2,Low,2014-03-12,2014-08-15,2014-08-16,15,14,156,0,1 +6462,keyon bolden,keyon,bolden,2013-12-12,Male,1992-04-21,23,Less than 25,African-American,0,8,0,2,3,-1,2013-12-11 08:58:31,2013-12-12 08:41:19,13017196CF10A,2013-12-11,,1,F,Grand Theft (Motor Vehicle),1,14026033TC20A,(M2),57,2014-04-05,Driving License Suspended,2014-06-01,2014-06-01,,1,14011407CF10A,(F2),2014-07-30,Throw Deadly Missile Into Veh,Risk of Recidivism,8,High,2013-12-12,Risk of Violence,8,High,2013-12-12,2015-01-18,2015-03-27,3,0,114,1,1 +6463,lenaris pope,lenaris,pope,2013-05-25,Male,1984-12-07,31,25 - 45,African-American,0,8,0,0,15,0,2013-05-25 12:00:10,2013-05-25 07:36:34,13007447CF10A,2013-05-24,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-25,Risk of Violence,3,Low,2013-05-25,2014-06-24,2014-08-19,15,0,395,0,0 +6466,tyrone palacios,tyrone,palacios,2013-11-18,Male,1963-04-07,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-18 04:04:43,2013-11-18 02:15:16,13021683MM10A,2013-11-18,,0,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-11-18,2013-11-18,0,0,865,0,0 +6467,christopher hampton,christopher,hampton,2014-02-06,Male,1982-03-20,34,25 - 45,African-American,0,7,0,0,12,0,2014-02-06 12:40:18,2014-03-13 05:43:50,14001658CF10A,2014-02-05,,1,F,Unauth C/P/S Sounds>1000/Audio,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-06,Risk of Violence,5,Medium,2014-02-06,2014-02-06,2014-03-13,12,35,785,0,0 +6468,marlene russell,marlene,russell,2013-11-08,Female,1953-04-11,63,Greater than 45,African-American,0,1,0,0,1,0,2013-11-08 03:13:23,2013-11-08 09:33:45,13015594CF10A,2013-11-07,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2013-11-08,2013-11-08,1,0,875,0,0 +6469,everan whyte,everan,whyte,2013-10-31,Male,1995-04-13,21,Less than 25,Other,0,4,0,0,0,-1,2013-10-30 12:06:54,2013-10-31 11:29:01,13015138CF10A,2013-10-30,,1,F,Tampering With Physical Evidence,1,14000635MM30A,(M2),,2014-04-04,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-31,Risk of Violence,6,Medium,2013-10-31,2013-10-30,2013-10-31,0,0,155,1,1 +6470,rakeem baptiste,rakeem,baptiste,2014-10-04,Female,1995-03-26,21,Less than 25,African-American,0,7,0,0,0,0,2014-10-04 05:09:06,2014-10-04 07:38:51,14013392CF10A,2014-10-04,,0,F,Possession Of Alprazolam,1,14014149CF10A,(F2),0,2014-10-20,Aggrav Battery w/Deadly Weapon,2014-10-20,2014-11-18,,1,14014149CF10A,(F2),2014-10-20,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,7,Medium,2014-10-04,Risk of Violence,6,Medium,2014-10-04,2014-10-20,2014-11-18,0,0,16,1,1 +6471,jonathan kenney,jonathan,kenney,2014-11-22,Male,1968-07-16,47,Greater than 45,Caucasian,0,9,0,0,28,-1,2014-11-21 09:04:06,2014-12-25 06:41:19,14015702CF10A,2014-11-21,,1,F,Corrupt Public Servant,1,14018223MO10A,(M1),0,2014-12-30,Resist/Obstruct W/O Violence,2014-12-30,2014-12-31,,0,,,,,Risk of Recidivism,9,High,2014-11-22,Risk of Violence,3,Low,2014-11-22,2014-12-30,2014-12-31,28,33,38,1,1 +6473,wilvelinot telsaint,wilvelinot,telsaint,2014-10-11,Male,1982-01-23,34,25 - 45,African-American,0,5,0,0,7,0,2014-10-11 12:49:58,2014-10-11 01:58:15,14013687CF10A,2014-10-10,,1,F,Possession of Cocaine,1,16000376MM20A,(M1),,2016-02-03,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2014-10-11,Risk of Violence,2,Low,2014-10-11,2014-10-11,2014-10-11,7,0,480,1,1 +6475,yves stlouis,yves,stlouis,2013-05-29,Male,1972-11-20,43,25 - 45,African-American,0,1,0,0,1,,,,09019388MM10A,2009-08-13,,1385,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,,,1,0,1038,0,0 +6477,brian piggott,brian,piggott,2014-11-13,Male,1958-01-18,58,Greater than 45,Caucasian,0,5,0,0,4,0,2014-11-13 11:35:04,2014-11-14 09:12:36,14015270CF10A,2014-11-13,,0,F,Felony Petit Theft,1,15000894MM10A,(M1),0,2015-01-23,Resist/Obstruct W/O Violence,2015-01-23,2015-03-12,,1,15001923MM10A,(M1),2015-02-12,Battery,Risk of Recidivism,5,Medium,2014-11-13,Risk of Violence,3,Low,2014-11-13,2015-01-23,2015-03-12,4,1,71,1,1 +6478,diane perez,diane,perez,2014-11-02,Female,1975-12-31,40,25 - 45,Hispanic,0,3,0,0,4,0,2014-11-02 02:43:30,2014-11-07 04:27:50,14014723CF10A,2014-11-02,,0,F,Grand Theft (Motor Vehicle),1,15002581MM20A,(M2),56,2015-10-05,Petit Theft,2015-11-30,2015-11-30,,0,,,,,Risk of Recidivism,3,Low,2014-11-02,Risk of Violence,1,Low,2014-11-02,2014-11-02,2014-11-07,4,5,337,1,1 +6480,jonathan walker,jonathan,walker,2013-12-18,Male,1979-11-26,36,25 - 45,African-American,3,8,0,0,16,-8,2013-12-10 01:15:04,2013-12-18 10:47:31,13008821CF10A,,2013-12-10,8,F,arrest case no charge,1,15004166MM10A,(M1),0,2015-04-11,Unlaw Use False Name/Identity,2015-04-11,2015-05-15,,0,,,,,Risk of Recidivism,8,High,2013-12-18,Risk of Violence,7,Medium,2013-12-18,2015-04-11,2015-05-15,16,0,479,1,1 +6481,bria harcum,bria,harcum,2013-01-31,Female,1992-06-19,23,Less than 25,African-American,0,4,0,0,0,-1,2013-01-30 10:25:05,2013-02-01 02:10:14,13002159MM10A,2013-01-30,,1,M,Battery,1,15006087MM10A,(M1),1,2015-06-02,Possess Cannabis/20 Grams Or Less,2015-06-03,2015-06-03,,1,15008017MM10A,(M1),2015-07-28,Battery,Risk of Recidivism,4,Low,2013-01-31,Risk of Violence,4,Low,2013-01-31,2014-07-07,2014-07-22,0,1,522,0,0 +6482,corey lightfoot,corey,lightfoot,2013-04-26,Male,1981-11-04,34,25 - 45,African-American,0,2,0,0,5,-1,2013-04-25 08:35:15,2013-04-26 07:37:40,13005964CF10A,2013-04-25,,1,F,Possession Burglary Tools,1,15003898CF10A,(M2),0,2015-03-23,Susp Drivers Lic 1st Offense,2015-03-23,2015-03-24,,0,,,,,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,1,Low,2013-04-26,2015-03-23,2015-03-24,5,0,696,1,1 +6483,laird mcmahon,laird,mcmahon,2013-07-09,Male,1959-11-06,56,Greater than 45,Caucasian,0,2,0,0,13,-13,2013-06-26 10:01:48,2013-07-03 08:32:05,12000792CF10A,,2013-06-26,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-09,Risk of Violence,1,Low,2013-07-09,2013-06-26,2013-07-03,13,0,997,0,0 +6484,linda mashaw,linda,mashaw,2013-12-11,Female,1963-06-02,52,Greater than 45,Caucasian,0,1,0,0,0,-6,2013-12-05 11:56:49,2013-12-06 02:06:17,13016847CF10A,2013-12-05,,6,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2013-12-05,2013-12-06,0,0,842,0,0 +6485,tyrone dalton,tyrone,dalton,2013-03-27,Male,1959-07-30,56,Greater than 45,African-American,0,2,0,0,0,-1,2013-03-26 11:29:32,2013-04-02 10:35:48,13004366CF10A,2013-03-26,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-27,Risk of Violence,1,Low,2013-03-27,2013-03-26,2013-04-02,0,6,1101,0,0 +6487,lloy phillips,lloy,phillips,2014-02-13,Female,1978-07-11,37,25 - 45,African-American,0,1,0,0,0,-1,2014-02-12 08:58:01,2014-02-13 12:55:43,14002470MM10A,2014-02-12,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2014-02-12,2014-02-13,0,0,778,0,0 +6488,michelle rubin-furtado,michelle,rubin-furtado,2013-09-30,Female,1965-09-22,50,Greater than 45,Caucasian,0,1,0,0,0,0,2013-09-30 12:58:02,2013-10-02 07:23:30,13018508MM10A,2013-09-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-30,2013-10-02,0,2,914,0,0 +6489,abnel benjamin,abnel,benjamin,2013-02-09,Male,1990-05-01,25,25 - 45,African-American,0,2,0,0,1,-1,2013-02-08 11:08:45,2013-02-09 09:12:11,13001982CF10A,2013-02-08,,1,F,Grand Theft in the 3rd Degree,1,13009789MM10A,(M2),,2013-05-21,Petit Theft,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-09,Risk of Violence,3,Low,2013-02-09,2015-09-30,2015-12-17,1,0,101,1,1 +6490,reginald harris,reginald,harris,2013-03-12,Male,1993-08-20,22,Less than 25,African-American,0,5,0,0,0,-1,2013-03-11 10:30:13,2013-03-12 01:07:23,13003588CF10A,2013-03-11,,1,F,Possession of Cocaine,1,13021752MM10A,(M2),1,2013-11-18,Assault,2013-11-19,2013-11-26,,1,13021752MM10A,(M2),2013-11-18,Assault,Risk of Recidivism,5,Medium,2013-03-12,Risk of Violence,5,Medium,2013-03-12,2014-02-13,2014-09-11,0,0,251,1,1 +6491,maria cecil,maria,cecil,2013-08-02,Female,1972-06-13,43,25 - 45,Caucasian,0,1,0,0,0,0,2013-08-02 01:25:54,2013-08-02 07:52:49,13014710MM10A,2013-08-02,,0,M,Battery,1,14017228MM10A,(M1),0,2014-12-08,Battery,2014-12-08,2014-12-08,,1,14017228MM10A,(M1),2014-12-08,Battery,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2014-12-08,2014-12-08,0,0,493,0,1 +6492,michael bleier,michael,bleier,2013-01-12,Male,1985-10-18,30,25 - 45,Caucasian,0,2,0,0,1,-1,2013-01-11 03:35:40,2013-02-15 09:20:24,13000691MM10A,2013-01-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-12,Risk of Violence,2,Low,2013-01-12,2013-01-11,2013-02-15,1,34,1175,0,0 +6495,darren ip,darren,ip,2013-02-25,Male,1986-10-21,29,25 - 45,Asian,0,1,0,0,0,-1,2013-02-24 04:36:56,2013-02-25 01:34:48,13002837CF10A,2013-02-24,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,2013-02-24,2013-02-25,0,0,1131,0,0 +6496,isaac cabrera,isaac,cabrera,2013-03-31,Male,1991-12-04,24,Less than 25,Caucasian,0,2,0,0,0,-1,2013-03-30 09:22:07,2013-03-31 02:54:13,13004598CF10A,2013-03-30,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-31,Risk of Violence,3,Low,2013-03-31,2013-03-30,2013-03-31,0,0,1097,0,0 +6497,markei smith,markei,smith,2013-09-08,Male,1986-11-05,29,25 - 45,African-American,0,8,0,0,7,-1,2013-09-07 09:27:43,2013-09-08 06:44:09,13017071MM10A,2013-09-07,,1,M,Battery,1,14003492CF10A,(M1),0,2014-03-12,Unlaw Malic Strike K9/Horses,2014-03-12,2014-04-17,,1,14003492CF10A,(F2),2014-03-12,Agg Battery Grt/Bod/Harm,Risk of Recidivism,8,High,2013-09-08,Risk of Violence,3,Low,2013-09-08,2014-03-12,2014-04-17,7,0,185,1,1 +6498,andrea norris,andrea,norris,2013-01-15,Female,1989-03-31,27,25 - 45,Caucasian,0,3,0,0,3,,,,12018748CF10A,2012-12-27,,19,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-15,Risk of Violence,3,Low,2013-01-15,,,3,0,1172,0,0 +6500,amanda mion,amanda,mion,2013-10-02,Female,1991-10-30,24,Less than 25,Caucasian,0,4,0,0,0,-2,2013-09-30 07:53:28,2013-10-01 02:11:36,13013724CF10A,2013-09-30,,2,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-02,Risk of Violence,5,Medium,2013-10-02,2013-09-30,2013-10-01,0,0,912,0,0 +6501,merdis johnson,merdis,johnson,2013-11-07,Female,1941-06-08,74,Greater than 45,African-American,0,1,0,0,0,-1,2013-11-06 11:55:36,2013-11-07 02:32:47,13015489CF10A,2013-11-06,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-07,Risk of Violence,1,Low,2013-11-07,2013-11-06,2013-11-07,0,0,876,0,0 +6502,nathan mosley,nathan,mosley,2013-08-30,Male,1988-06-19,27,25 - 45,African-American,0,7,0,1,8,0,2013-08-30 12:08:49,2013-08-31 04:11:35,13006881MM10A,,2013-08-29,1,M,arrest case no charge,1,14002197CF10A,(F3),0,2014-02-16,Drivg While Lic Suspd/Revk/Can,2014-02-16,2014-02-18,,1,15004206MM10A,(M1),2015-04-12,Battery,Risk of Recidivism,7,Medium,2013-08-30,Risk of Violence,5,Medium,2013-08-30,2014-02-16,2014-02-18,8,1,170,1,1 +6503,nicky rodriguez,nicky,rodriguez,2013-04-05,Male,1978-12-25,37,25 - 45,Hispanic,0,2,0,0,1,-1,2013-04-04 11:29:59,2013-04-05 06:14:28,13004858CF10A,2013-04-04,,1,F,Pos Cannabis W/Intent Sel/Del,1,14003029MM20A,(M1),,2014-10-22,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-04,2013-04-05,1,0,565,1,1 +6504,alphonso hayes,alphonso,hayes,2014-02-19,Male,1976-08-26,39,25 - 45,African-American,0,10,1,1,8,197,2014-09-04 04:33:11,2014-09-08 08:11:38,14002369CF10A,2014-02-19,,0,F,Possession of Cocaine,1,14014776MO10A,(MO3),0,2014-10-08,Loiter Where Sign is Posted,2014-10-08,2014-10-09,,0,,,,,Risk of Recidivism,10,High,2014-02-19,Risk of Violence,9,High,2014-02-19,2014-09-04,2014-09-08,8,0,197,0,1 +6505,sean gayle,sean,gayle,2013-10-26,Male,1987-04-14,29,25 - 45,Caucasian,0,2,0,0,5,0,2013-10-26 02:22:33,2013-10-26 08:52:16,13014983CF10A,2013-10-26,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-26,Risk of Violence,3,Low,2013-10-26,2013-10-26,2013-10-26,5,0,888,0,0 +6507,shan nielsen,shan,nielsen,2013-12-23,Male,1990-10-12,25,25 - 45,African-American,0,3,0,0,0,,,,13023534MM10A,2013-12-21,,2,M,Unlaw Use False Name/Identity,1,14037237TC20A,(M2),,2014-05-21,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-23,Risk of Violence,4,Low,2013-12-23,,,0,0,149,1,1 +6508,latara doe,latara,doe,2013-11-20,Female,1981-02-15,35,25 - 45,African-American,0,3,0,0,5,-1,2013-11-19 12:43:57,2013-11-20 09:48:47,13016050CF10A,2013-11-19,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-20,Risk of Violence,3,Low,2013-11-20,2013-11-19,2013-11-20,5,0,863,0,0 +6511,amos robertshudson,amos,robertshudson,2013-10-24,Male,1986-07-17,29,25 - 45,African-American,0,6,0,0,1,-1,2013-10-23 02:06:58,2014-01-30 11:45:38,13020116MM10A,2013-10-23,,1,M,Battery,1,15004035MM10A,(M1),,2015-04-06,Extradition/Defendants,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-24,Risk of Violence,5,Medium,2013-10-24,2013-10-23,2014-01-30,1,98,529,1,1 +6512,sean barnes,sean,barnes,2013-12-06,Male,1979-08-19,36,25 - 45,Caucasian,0,2,0,0,1,-1,2013-12-05 08:09:58,2013-12-06 09:55:53,13017002CF10A,,2013-12-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2013-12-05,2013-12-06,1,0,847,0,0 +6513,ronald johnson,ronald,johnson,2013-04-22,Male,1954-07-30,61,Greater than 45,African-American,0,4,0,0,13,64,2013-06-25 04:44:14,2013-08-30 10:25:00,12010479CF10A,2012-07-17,,279,F,Possession of Cocaine,1,14012286MM10A,(M2),0,2014-08-13,Disorderly Conduct,2014-08-13,2014-08-18,,0,,,,,Risk of Recidivism,4,Low,2013-04-22,Risk of Violence,2,Low,2013-04-22,2013-06-25,2013-08-30,13,0,64,0,1 +6514,denim thomas,denim,thomas,2013-01-10,Male,1989-08-15,26,25 - 45,Caucasian,0,4,0,0,2,0,2013-01-10 12:22:27,2013-01-12 02:52:10,13000386CF10A,2013-01-09,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-10,Risk of Violence,7,Medium,2013-01-10,2015-05-01,2015-05-28,2,2,841,0,0 +6518,dave walker,dave,walker,2013-01-06,Male,1988-01-09,28,25 - 45,African-American,0,5,0,0,1,,,,09018697MM10A,2009-08-07,,1248,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-06,Risk of Violence,5,Medium,2013-01-06,,,1,0,1181,0,0 +6520,miesha jones,miesha,jones,2014-01-22,Female,1989-08-04,26,25 - 45,African-American,0,5,0,0,1,-1,2014-01-21 05:58:42,2014-01-22 09:20:42,14000884CF10A,,2014-01-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-22,Risk of Violence,4,Low,2014-01-22,2014-01-21,2014-01-22,1,0,800,0,0 +6521,olivia mcclellan,olivia,mcclellan,2014-03-20,Female,1976-07-08,39,25 - 45,Caucasian,0,6,1,0,11,-1,2014-03-19 06:43:33,2014-03-20 10:04:50,14003910CF10A,2014-03-19,,1,F,Felony Petit Theft,1,15001432CF10A,(F3),0,2015-01-30,Felony Petit Theft,2015-01-30,2015-01-31,,0,,,,,Risk of Recidivism,6,Medium,2014-03-20,Risk of Violence,3,Low,2014-03-20,2015-01-30,2015-01-31,11,0,316,1,1 +6522,johnny martinez,johnny,martinez,2013-03-22,Male,1994-01-27,22,Less than 25,African-American,0,4,1,0,3,-1,2013-03-21 04:40:57,2013-03-22 10:20:25,13004125CF10A,2013-03-21,,1,F,Grand Theft in the 3rd Degree,1,13010894MM10A,(M1),165,2013-03-30,Possess Cannabis/20 Grams Or Less,2013-09-11,2013-10-14,,0,,,,,Risk of Recidivism,4,Low,2013-03-22,Risk of Violence,6,Medium,2013-03-22,2013-09-11,2013-10-14,3,0,8,1,1 +6524,jordan rodriguez,jordan,rodriguez,2013-04-25,Male,1987-12-01,28,25 - 45,Caucasian,0,3,0,0,0,-1,2013-04-24 06:15:34,2013-04-26 04:51:42,13005908CF10A,2013-04-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-25,Risk of Violence,2,Low,2013-04-25,2014-01-22,2014-01-29,0,1,272,0,0 +6525,martin chauncey,martin,chauncey,2013-03-11,Male,1964-06-20,51,Greater than 45,Caucasian,0,1,0,0,1,-2,2013-03-09 10:28:41,2013-03-10 01:03:52,13003507CF10A,2013-03-09,,2,F,Possession Of Alprazolam,1,13048905TC10A,(M2),,2013-11-23,Ped Obstruct Traf/No Permit Sol,,,,1,15004302CF10A,(F3),2015-04-01,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-05-28,2013-07-05,1,0,78,0,1 +6526,iliana fernandez,iliana,fernandez,2014-01-21,Female,1980-06-23,35,25 - 45,Hispanic,0,2,0,0,0,-1,2014-01-20 09:04:36,2014-01-21 09:57:17,14000989MM10A,2014-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-01-20,2014-01-21,0,0,801,0,0 +6527,vanessa malcolm,vanessa,malcolm,2014-03-02,Female,1992-05-24,23,Less than 25,African-American,0,2,0,0,0,-1,2014-03-01 02:14:47,2014-03-02 08:12:14,14003540MM10A,2014-03-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-02,Risk of Violence,3,Low,2014-03-02,2014-03-01,2014-03-02,0,0,761,0,0 +6528,kevin ellis,kevin,ellis,2013-07-31,Male,1986-05-19,29,25 - 45,African-American,1,6,2,0,6,0,2013-07-31 12:06:58,2013-08-01 08:24:53,13010720CF10A,2013-07-31,,0,F,Crim Use of Personal ID Info,1,15001563MM20A,(M1),269,2015-06-12,Petit Theft $100- $300,2016-03-07,2016-03-08,,0,,,,,Risk of Recidivism,6,Medium,2013-07-31,Risk of Violence,8,High,2013-07-31,2013-07-31,2013-08-01,6,1,681,1,1 +6529,robert brown,robert,brown,2014-04-22,Male,1995-09-01,20,Less than 25,Other,0,3,0,0,0,-1,2014-04-21 03:41:23,2014-04-22 08:36:10,14005634CF10A,2014-04-21,,1,F,Uttering a Forged Instrument,1,14010109MM10A,(M1),0,2014-06-09,Possess Drug Paraphernalia,2014-06-09,2014-07-11,,0,,,,,Risk of Recidivism,3,Low,2014-04-22,Risk of Violence,5,Medium,2014-04-22,2014-06-09,2014-07-11,0,0,48,1,1 +6531,calvin parker,calvin,parker,2013-04-20,Male,1992-03-17,24,Less than 25,African-American,0,9,0,2,1,-1,2013-04-19 04:36:06,2013-04-25 09:32:05,12024611MO10A,,2013-04-19,1,M,arrest case no charge,1,15003386CF10A,(M1),0,2015-01-26,Resist/Obstruct W/O Violence,2015-01-26,2015-06-15,,0,,,,,Risk of Recidivism,9,High,2013-04-20,Risk of Violence,9,High,2013-04-20,2013-08-02,2014-02-03,1,5,104,0,1 +6533,jessica cajete,jessica,cajete,2013-09-23,Female,1992-08-11,23,Less than 25,Hispanic,0,4,1,0,2,-1,2013-09-22 01:21:07,2013-09-23 09:39:36,13018067MM10A,2013-09-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,6,Medium,2013-09-23,2013-09-22,2013-09-23,2,0,921,0,0 +6534,shimeko johnson,shimeko,johnson,2013-09-20,Female,1983-02-01,33,25 - 45,African-American,0,7,0,0,5,-1,2013-09-19 10:53:46,2014-03-25 03:47:18,13013220CF10A,2013-09-19,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-20,Risk of Violence,5,Medium,2013-09-20,2016-03-24,2020-01-01,5,186,916,0,0 +6535,brandon olivo,brandon,olivo,2013-04-25,Male,1994-11-14,21,Less than 25,Caucasian,1,3,0,0,1,-1,2013-04-24 12:53:34,2013-04-25 09:14:52,13005466CF10A,,2013-04-24,1,F,arrest case no charge,1,13054052TC30A,(M2),,2013-05-27,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-25,Risk of Violence,6,Medium,2013-04-25,2013-04-24,2013-04-25,1,0,32,1,1 +6536,karl smith,karl,smith,2013-05-15,Male,1956-11-12,59,Greater than 45,Caucasian,0,1,0,0,3,-3,2013-05-12 05:17:01,2013-05-14 07:57:33,13009151MM10A,2013-05-11,,4,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-15,Risk of Violence,1,Low,2013-05-15,2013-05-12,2013-05-14,3,0,1052,0,0 +6537,alejandro cabrera,alejandro,cabrera,2013-09-23,Male,1990-03-30,26,25 - 45,Caucasian,0,4,0,0,4,0,2013-09-23 12:36:24,2013-09-26 08:28:31,13013392CF10A,2013-09-23,,0,F,Tamper With Witness/Victim/CI,1,13014027CF10A,(M1),0,2013-10-06,Viol Pretrial Release Dom Viol,2013-10-06,2013-12-17,,1,13014027CF10A,(M1),2013-10-06,Battery,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-10-06,2013-12-17,4,3,13,1,1 +6538,rosario pennachio,rosario,pennachio,2013-03-20,Male,1979-09-30,36,25 - 45,Caucasian,0,1,0,0,0,,,,,,,,M,,1,16000097MM10A,(M2),,2015-12-07,Trespass Struct/Conveyance,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-02-16,2013-03-19,0,0,992,1,0 +6539,pathelin felix,pathelin,felix,2014-03-27,Male,1977-09-02,38,25 - 45,Other,0,1,0,0,2,-1,2014-03-26 05:07:09,2014-03-27 01:44:46,14004307CF10A,2014-03-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-27,Risk of Violence,1,Low,2014-03-27,2014-03-26,2014-03-27,2,0,736,0,0 +6541,julian metayer,julian,metayer,2014-07-18,Male,1996-06-07,19,Less than 25,Caucasian,1,9,3,2,5,-31,2014-06-17 11:28:28,2014-07-16 01:22:07,14036698TC20A,,2014-06-17,31,M,arrest case no charge,1,15005380CF10A,(F3),,2015-02-25,Burglary Structure Unoccup,,,,0,,,,,Risk of Recidivism,9,High,2014-07-18,Risk of Violence,9,High,2014-07-18,2014-11-25,2014-12-03,5,0,130,0,1 +6546,michael miranda,michael,miranda,2013-11-25,Male,1987-11-11,28,25 - 45,Hispanic,0,8,0,0,2,-1,2013-11-24 03:03:07,2013-11-27 08:15:41,13016343CF10A,2013-11-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-25,Risk of Violence,6,Medium,2013-11-25,2013-11-24,2013-11-27,2,2,858,0,0 +6547,andres ussa,andres,ussa,2014-05-27,Male,1993-04-16,23,Less than 25,Hispanic,0,5,0,0,2,-1,2014-05-26 11:42:15,2014-07-24 10:35:04,14007299CF10A,,2014-05-26,1,F,arrest case no charge,1,15052028TC40A,(M2),,2015-09-02,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2014-05-27,Risk of Violence,4,Low,2014-05-27,2014-10-17,2014-10-23,2,58,143,0,1 +6548,kendall glasgow,kendall,glasgow,2014-05-19,Male,1994-04-23,21,Less than 25,African-American,0,5,0,2,1,-1,2014-05-18 06:59:59,2014-05-19 08:23:45,14006915CF10A,2014-05-18,,1,F,Obstruct Officer W/Violence,1,14008620MM10A,(M1),0,2014-05-29,Possess Cannabis/20 Grams Or Less,2014-05-29,2014-05-29,,0,,,,,Risk of Recidivism,5,Medium,2014-05-19,Risk of Violence,5,Medium,2014-05-19,2014-05-29,2014-05-29,1,0,10,0,1 +6549,melvin brown,melvin,brown,2013-03-24,Male,1963-07-31,52,Greater than 45,African-American,0,1,0,0,0,-1,2013-03-23 05:06:30,2013-03-24 07:32:38,13005704MM10A,2013-03-23,,1,M,Battery,1,15018695TC20A,(M2),,2015-03-14,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-24,Risk of Violence,1,Low,2013-03-24,2013-03-23,2013-03-24,0,0,720,1,1 +6550,coy clemons,coy,clemons,2013-03-26,Male,1959-06-03,56,Greater than 45,African-American,0,5,0,0,12,-1,2013-03-25 10:10:57,2013-03-27 02:33:53,13004327CF10A,2013-03-25,,1,F,Possession of Cocaine,1,14011621CF10A,(F3),825,2013-03-30,Fail Register Career Offender,2015-07-03,2015-07-05,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,2013-03-25,2013-03-27,12,1,4,1,1 +6551,max connolly,max,connolly,2013-12-24,Male,1976-03-04,40,25 - 45,Caucasian,0,4,0,0,1,-1,2013-12-23 09:56:19,2013-12-25 01:50:51,13023696MM10A,2013-12-23,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-24,Risk of Violence,3,Low,2013-12-24,2013-12-23,2013-12-25,1,1,829,0,0 +6552,lee fitzgerald,lee,fitzgerald,2014-02-06,Female,1967-11-05,48,Greater than 45,Caucasian,0,4,0,0,8,-26,2014-01-11 11:55:03,2014-02-04 05:57:53,14000477CF10A,2014-01-11,,26,M,Felony Battery w/Prior Convict,1,14007990MM10A,(M1),1,2014-05-16,Resist/Obstruct W/O Violence,2014-05-17,2014-05-29,,0,,,,,Risk of Recidivism,4,Low,2014-02-06,Risk of Violence,2,Low,2014-02-06,2014-05-17,2014-05-29,8,0,99,1,1 +6553,joshua rinchere,joshua,rinchere,2013-01-03,Male,1991-11-21,24,Less than 25,African-American,0,6,1,2,2,561,2014-07-18 05:54:57,2014-07-18 12:53:51,12017517MM10A,2011-12-06,,394,M,Cause Anoth Phone Ring Repeat,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-03,Risk of Violence,7,Medium,2013-01-03,2014-07-18,2014-07-18,2,0,561,0,0 +6554,amber howell,amber,howell,2013-12-21,Female,1990-01-02,26,25 - 45,African-American,0,4,0,0,0,-1,2013-12-20 03:42:01,2013-12-21 01:56:09,13017566CF10A,2013-12-20,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-21,Risk of Violence,4,Low,2013-12-21,2015-09-10,2015-09-10,0,0,628,0,0 +6557,cleveland daniels,cleveland,daniels,2013-08-15,Male,1956-07-16,59,Greater than 45,African-American,0,6,0,0,5,,,,09001028TC10A,2008-09-28,,1782,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-15,Risk of Violence,4,Low,2013-08-15,1997-07-17,2000-10-11,5,0,960,0,0 +6558,thomas gunuskey,thomas,gunuskey,2014-08-13,Male,1950-02-18,66,Greater than 45,Caucasian,0,1,0,0,1,-14,2014-07-30 09:41:54,2014-08-04 07:36:50,14008720CF10A,,2014-07-30,14,F,arrest case no charge,1,15013562CF10A,(F2),1,2015-10-17,Lewd/Lasc Battery Pers 12+/<16,2015-10-18,2015-10-19,,0,,,,,Risk of Recidivism,1,Low,2014-08-13,Risk of Violence,1,Low,2014-08-13,2015-10-18,2015-10-19,1,0,430,1,1 +6560,annette jackson,annette,jackson,2013-12-02,Female,1961-08-13,54,Greater than 45,African-American,0,4,0,0,6,-1,2013-12-01 02:04:46,2013-12-02 09:23:47,13016643CF10A,2013-12-01,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,6,0,851,0,0 +6563,brian esporrin,brian,esporrin,2014-01-27,Male,1984-09-29,31,25 - 45,Caucasian,0,7,0,0,4,-1,2014-01-26 09:54:39,2014-02-22 05:13:12,14001451MM10A,2014-01-26,,1,M,Battery,1,14003079MM20A,(M2),,2014-10-17,Driving License Suspended,,,,1,16002416MM10A,(M1),2016-03-01,Battery,Risk of Recidivism,7,Medium,2014-01-27,Risk of Violence,7,Medium,2014-01-27,2014-01-26,2014-02-22,4,26,263,1,1 +6564,gilberto padua,gilberto,padua,2013-05-22,Male,1982-01-15,34,25 - 45,Caucasian,0,3,0,0,0,-1,2013-05-21 11:08:14,2013-05-22 07:36:48,13007242CF10A,2013-05-21,,1,F,Grand Theft in the 3rd Degree,1,15012253MM10A,(M1),,2015-11-01,Battery,,,,1,15012253MM10A,(M1),2015-11-01,Battery,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,2,Low,2013-05-22,2015-07-02,2015-07-09,0,0,771,0,0 +6566,roderick howell,roderick,howell,2013-02-07,Male,1990-05-07,25,25 - 45,African-American,0,9,0,0,9,-1,2013-02-06 12:43:24,2013-05-02 06:27:07,11010506CF10A,,2013-02-06,1,F,arrest case no charge,1,14010810CF10A,(M2),0,2014-08-08,Susp Drivers Lic 1st Offense,2014-08-08,2014-09-25,,0,,,,,Risk of Recidivism,9,High,2013-02-07,Risk of Violence,8,High,2013-02-07,2014-08-08,2014-09-25,9,412,547,1,1 +6570,michael andrews,michael,andrews,2013-03-08,Male,1969-02-01,47,Greater than 45,Caucasian,0,4,0,0,2,-7,2013-03-01 05:20:32,2013-03-07 08:32:27,13003102CF10A,2013-03-01,,7,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-08,Risk of Violence,1,Low,2013-03-08,2013-09-13,2013-09-20,2,0,189,0,0 +6571,wyle myrick,wyle,myrick,2013-01-15,Male,1964-12-15,51,Greater than 45,African-American,0,8,0,1,12,-1,2013-01-14 09:08:43,2013-01-15 01:17:37,13000651CF10A,2013-01-14,,1,F,Felony Driving While Lic Suspd,1,14088029TC30A,(M2),,2014-10-17,Driving License Suspended,,,,1,15000544CF10A,(F3),2014-10-23,Felony Battery (Dom Strang),Risk of Recidivism,8,High,2013-01-15,Risk of Violence,3,Low,2013-01-15,2015-01-29,2015-03-04,12,0,640,1,1 +6572,matthew bohl,matthew,bohl,2013-09-11,Male,1990-06-27,25,25 - 45,Caucasian,0,3,0,0,1,-23,2013-08-19 12:20:34,2013-08-19 07:02:51,12015964CF10A,,2013-08-18,24,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-11,Risk of Violence,3,Low,2013-09-11,2013-08-19,2013-08-19,1,0,933,0,0 +6573,damian wright,damian,wright,2013-03-21,Male,1990-12-28,25,25 - 45,Other,0,2,0,0,0,-1,2013-03-20 03:26:30,2013-04-09 08:53:54,13004045CF10A,2013-03-20,,1,F,Felony Battery,1,13012915MM10A,(M1),0,2013-07-07,Battery,2013-07-07,2013-09-21,,1,13012915MM10A,(M1),2013-07-07,Battery,Risk of Recidivism,2,Low,2013-03-21,Risk of Violence,4,Low,2013-03-21,2013-07-07,2013-09-21,0,19,108,1,1 +6574,shawanna blue,shawanna,blue,2013-08-27,Female,1985-02-13,31,25 - 45,African-American,0,2,0,0,2,-1,2013-08-26 10:47:01,2013-08-27 08:02:23,13012027CF10A,2013-08-26,,1,F,Aggravated Assault W/Dead Weap,1,13016862MM10A,(M1),0,2013-09-03,Viol Pretrial Release Dom Viol,2013-09-03,2013-09-04,,0,,,,,Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,2,Low,2013-08-27,2013-09-03,2013-09-04,2,0,7,1,1 +6575,alberto espino,alberto,espino,2013-02-22,Male,1971-05-11,44,25 - 45,Hispanic,0,1,0,0,2,367,2014-02-24 11:33:39,2014-02-25 09:19:16,12017050CF10A,,2012-12-05,79,F,arrest case no charge,1,14003599CF10A,(F3),,2014-02-18,Child Abuse,,,,1,14003599CF10A,(F3),2014-02-18,Child Abuse,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,2,Low,2013-02-22,2014-02-24,2014-02-25,2,0,361,1,1 +6577,michael spetsieris,michael,spetsieris,2013-02-08,Male,1979-12-07,36,25 - 45,Caucasian,0,2,0,0,1,-1,2013-02-07 05:59:46,2013-02-08 02:14:56,13002149CF10A,,2013-02-07,1,F,arrest case no charge,1,15002345MM10A,(M1),0,2015-02-25,Child Neglect/Delinquency,2015-02-25,2015-04-28,,1,15002345MM10A,(M1),2015-02-25,Battery,Risk of Recidivism,2,Low,2013-02-08,Risk of Violence,3,Low,2013-02-08,2015-02-25,2015-04-28,1,0,747,1,0 +6578,jake jacob,jake,jacob,2013-03-06,Male,1938-05-15,77,Greater than 45,Caucasian,0,1,0,0,3,,,,07014679CF10A,,2008-06-02,1738,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,1,Low,2013-03-06,,,3,0,1122,0,0 +6580,brent jardine,brent,jardine,2013-03-18,Male,1966-10-28,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-18 12:03:32,2013-03-18 02:06:52,13005225MM10A,2013-03-17,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-18,2013-03-18,0,0,1110,0,0 +6583,thaddaus holmes,thaddaus,holmes,2013-04-05,Male,1984-12-24,31,25 - 45,African-American,0,7,0,0,0,-1,2013-04-04 10:04:39,2013-04-05 09:22:00,13004851CF10A,2013-04-04,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-05,Risk of Violence,4,Low,2013-04-05,2014-11-20,2015-03-20,0,0,594,0,0 +6584,daniel ganten,daniel,ganten,2014-03-11,Male,1986-03-30,30,25 - 45,Caucasian,0,3,0,1,1,-1,2014-03-10 03:11:33,2014-03-11 01:26:00,14003379CF10A,2014-03-10,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-11,Risk of Violence,3,Low,2014-03-11,2014-08-28,2014-08-29,1,0,170,0,0 +6585,ricoh smith,ricoh,smith,2013-04-20,Male,1987-01-26,29,25 - 45,African-American,1,9,0,0,3,-1,2013-04-19 10:51:38,2013-04-20 09:50:28,13005599CF10A,2013-04-19,,1,F,Att Burgl Unoccupied Dwel,1,14012126CF10A,(F3),,2014-09-05,Poss Pyrrolidinovalerophenone,,,,0,,,,,Risk of Recidivism,9,High,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2016-01-28,2020-01-01,3,0,503,1,1 +6586,jacqueline garcia,jacqueline,garcia,2014-01-07,Female,1963-01-20,53,Greater than 45,Caucasian,0,5,0,0,6,-1,2014-01-06 10:28:38,2014-01-17 06:13:46,14000231CF10A,2014-01-06,,1,F,Possession of Cocaine,1,15011153MO10A,(MO3),0,2015-10-23,Loiter Solicit Act Prostitute,2015-10-23,2015-10-25,,0,,,,,Risk of Recidivism,5,Medium,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-09-10,2014-12-29,6,10,246,0,1 +6587,bernard bellamy,bernard,bellamy,2013-10-15,Male,1994-11-10,21,Less than 25,African-American,0,9,1,0,1,-1,2013-10-14 05:20:14,2015-01-13 06:24:21,13014382CF10A,2013-10-14,,1,F,Att Burgl Unoccupied Dwel,1,14015162CF10A,(F3),160,2014-10-24,Battery Upon Detainee,2015-04-02,2015-04-16,,1,14015162CF10A,(F3),2014-10-24,Battery Upon Detainee,Risk of Recidivism,9,High,2013-10-15,Risk of Violence,8,High,2013-10-15,2013-10-14,2015-01-13,1,0,374,1,1 +6588,lawrence mincey,lawrence,mincey,2013-12-07,Male,1994-08-29,21,Less than 25,African-American,0,4,0,0,0,-1,2013-12-06 11:23:29,2013-12-07 01:44:43,13016905CF10A,2013-12-06,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-07,Risk of Violence,6,Medium,2013-12-07,2013-12-06,2013-12-07,0,0,846,0,0 +6589,nadia grant,nadia,grant,2013-10-25,Female,1989-02-01,27,25 - 45,African-American,0,5,0,0,1,0,2013-10-25 04:39:33,2013-10-25 08:52:43,13014932CF10A,2013-10-24,,1,F,Fraudulent Use of Credit Card,1,14088049TC30A,(M2),,2014-10-11,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,4,Low,2013-10-25,2013-10-25,2013-10-25,1,0,351,1,1 +6591,flora emery,flora,emery,2014-02-24,Female,1951-02-20,65,Greater than 45,African-American,0,1,0,0,0,-1,2014-02-23 10:06:57,2014-02-24 09:55:50,14002554CF10A,2014-02-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-23,2014-02-24,0,0,767,0,0 +6592,marlene decarlos,marlene,decarlos,2014-02-06,Female,1956-08-17,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-05 04:46:13,2014-02-05 09:09:15,14004643MU10A,2014-02-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-02-05,2014-02-05,0,0,785,0,0 +6593,robert heagle,robert,heagle,2013-11-18,Male,1957-01-23,59,Greater than 45,African-American,0,1,0,0,0,-1,2013-11-17 10:33:58,2013-11-19 08:59:35,13021612MM10A,2013-11-17,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-11-17,2013-11-19,0,1,865,0,0 +6594,trevant taylor,trevant,taylor,2013-03-15,Male,1992-03-07,24,Less than 25,African-American,0,7,0,0,0,-1,2013-03-14 08:45:46,2013-03-17 08:58:08,13005088MM10A,2013-03-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-15,Risk of Violence,7,Medium,2013-03-15,2013-03-14,2013-03-17,0,2,1113,0,0 +6595,benjamin fanfan,benjamin,fanfan,2013-02-20,Male,1975-04-24,40,25 - 45,African-American,0,1,0,0,0,0,2013-02-20 06:23:55,2013-02-21 08:02:45,13002591CF10A,2013-02-19,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-20,2013-02-21,0,1,1136,0,0 +6596,earl williams,earl,williams,2014-06-24,Male,1964-07-05,51,Greater than 45,African-American,0,1,0,0,0,-1,2014-06-23 01:48:55,2014-06-25 09:25:00,14008648CF10A,2014-06-23,,1,F,Criminal Mischief,1,14001698MM30A,(M1),,2014-10-27,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,1,Low,2014-06-24,Risk of Violence,1,Low,2014-06-24,2014-06-23,2014-06-25,0,1,125,1,1 +6597,charles harvey,charles,harvey,2013-03-18,Male,1981-04-28,34,25 - 45,African-American,1,9,0,0,10,-1,2013-03-17 08:10:17,2013-03-18 02:41:05,13003878CF10A,2013-03-17,,1,F,Possession Of Alprazolam,1,14005915CF10A,(F3),,2013-05-20,Grand Theft in the 3rd Degree,,,,1,13016846CF10A,(M1),2013-12-05,Battery,Risk of Recidivism,9,High,2013-03-18,Risk of Violence,4,Low,2013-03-18,2014-02-04,2014-06-10,10,0,63,1,1 +6600,jairo polanco,jairo,polanco,2013-02-08,Male,1985-10-15,30,25 - 45,Hispanic,0,2,0,0,1,0,2013-02-08 12:28:38,2013-02-08 01:15:00,13001942CF10A,2013-02-07,,1,F,Poss Unlaw Issue Driver Licenc,1,14007899CF10A,(F3),0,2014-06-07,Poss Counterfeit Payment Inst,2014-06-07,2014-07-22,,0,,,,,Risk of Recidivism,2,Low,2013-02-08,Risk of Violence,2,Low,2013-02-08,2014-06-07,2014-07-22,1,0,484,1,1 +6601,herbert morris,herbert,morris,2014-02-24,Male,1964-01-01,52,Greater than 45,African-American,0,1,0,0,1,-1,2014-02-23 02:25:36,2014-02-24 01:35:35,14002552CF10A,2014-02-23,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-23,2014-02-24,1,0,767,0,0 +6602,david picard,david,picard,2013-09-30,Male,1987-03-19,29,25 - 45,Caucasian,0,4,0,0,1,-39,2013-08-22 12:11:24,2013-09-25 02:14:52,13011782CF10A,2013-08-21,,40,F,Burglary Unoccupied Dwelling,1,14008177CF10A,(M1),0,2014-06-12,Trespass Other Struct/Conve,2014-06-12,2014-07-15,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,6,Medium,2013-09-30,2013-12-19,2014-01-07,1,0,80,0,1 +6603,moses martin,moses,martin,2014-08-07,Male,1991-05-09,24,Less than 25,African-American,0,9,0,0,15,-31,2014-07-07 11:37:13,2014-07-12 02:11:41,11004711CF10A,,2014-07-07,31,F,arrest case no charge,1,15015032CF10A,(F3),,2015-11-18,Battery Upon Detainee,,,,1,15015032CF10A,(F3),2015-11-18,Battery Upon Detainee,Risk of Recidivism,9,High,2014-08-07,Risk of Violence,9,High,2014-08-07,2014-09-12,2015-01-09,15,0,36,0,1 +6604,stacey lewis,stacey,lewis,2013-05-26,Male,1978-02-03,38,25 - 45,African-American,0,3,0,0,2,-1,2013-05-25 08:47:26,2013-05-28 01:16:45,13007501CF10A,2013-05-25,,1,F,Aggrav Battery w/Deadly Weapon,1,14002354MM40A,(M1),,2014-05-16,Possess Cannabis/20 Grams Or Less,,,,1,15012816CF10A,(F3),2015-10-03,Agg Assault W/int Com Fel Dome,Risk of Recidivism,3,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-28,2,2,355,1,1 +6605,whitney bennett,whitney,bennett,2013-07-23,Female,1993-06-16,22,Less than 25,African-American,0,8,0,0,0,-6,2013-07-17 11:09:16,2013-07-18 07:36:50,13010011CF10A,2013-07-17,,6,F,Poss of Methylethcathinone,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-07-23,Risk of Violence,8,High,2013-07-23,2014-01-17,2014-01-18,0,0,178,0,0 +6606,gerraro bell,gerraro,bell,2013-02-01,Male,1972-12-21,43,25 - 45,African-American,0,5,0,0,0,-1,2013-01-31 08:25:07,2013-02-03 08:56:37,13001554CF10A,2013-01-31,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-01-31,2013-02-03,0,2,1155,0,0 +6608,stephen maher,stephen,maher,2013-12-10,Male,1983-09-30,32,25 - 45,Caucasian,0,9,0,0,5,0,2013-12-10 06:11:40,2014-02-03 08:48:44,13017063CF10A,2013-12-10,,0,F,Possession of Cocaine,1,14086476TC20A,(M2),,2014-12-08,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-12-10,Risk of Violence,3,Low,2013-12-10,2013-12-10,2014-02-03,5,55,363,1,1 +6611,darryl stringer,darryl,stringer,2013-10-04,Male,1960-11-16,55,Greater than 45,African-American,0,1,0,0,0,-1,2013-10-03 06:04:09,2013-10-04 08:21:14,13013904CF10A,2013-10-03,,1,F,Failure To Return Hired Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,1,Low,2013-10-04,2014-01-15,2014-02-21,0,0,103,0,0 +6613,trenton bractley,trenton,bractley,2013-12-14,Male,1989-09-03,26,25 - 45,African-American,0,2,0,0,2,-1,2013-12-13 03:52:22,2013-12-22 01:52:00,13017254CF10A,2013-12-13,,1,F,Burglary Unoccupied Dwelling,1,16002864CF10A,(F3),,2016-03-06,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-14,Risk of Violence,3,Low,2013-12-14,2015-06-12,2015-06-23,2,8,545,0,0 +6614,juan villa,juan,villa,2013-11-22,Male,1993-01-08,23,Less than 25,Caucasian,0,2,0,1,1,-1,2013-11-21 07:44:23,2013-11-22 05:14:14,13021926MM10A,2013-11-21,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-22,Risk of Violence,3,Low,2013-11-22,2013-11-21,2013-11-22,1,0,861,0,0 +6615,alison coutain,alison,coutain,2013-05-26,Female,1968-12-28,47,Greater than 45,Other,0,1,0,0,0,-1,2013-05-25 09:23:37,2013-05-28 10:06:23,13007499CF10A,2013-05-25,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-28,0,2,1041,0,0 +6616,jacob chismar,jacob,chismar,2014-05-04,Male,1987-11-17,28,25 - 45,Caucasian,0,2,0,0,1,-1,2014-05-03 11:13:44,2014-05-04 08:36:19,14016887MU10A,2014-05-03,,1,M,Driving License Suspended,1,14007203CF10A,(F3),0,2014-05-23,Possession Of Alprazolam,2014-05-23,2014-05-24,,0,,,,,Risk of Recidivism,2,Low,2014-05-04,Risk of Violence,2,Low,2014-05-04,2014-05-23,2014-05-24,1,0,19,1,1 +6621,andres penalopez,andres,penalopez,2013-09-22,Male,1988-06-15,27,25 - 45,Hispanic,0,2,0,0,0,0,2013-09-22 03:53:21,2013-09-22 08:00:54,13013359CF10A,2013-09-21,,1,F,Grand Theft in the 3rd Degree,1,14014299CF10A,(F3),0,2014-10-23,Use of Anti-Shoplifting Device,2014-10-23,2014-10-24,,0,,,,,Risk of Recidivism,2,Low,2013-09-22,Risk of Violence,3,Low,2013-09-22,2014-10-23,2014-10-24,0,0,396,1,1 +6624,eduardo reyes,eduardo,reyes,2013-02-24,Male,1955-03-19,61,Greater than 45,Hispanic,0,4,0,0,2,-1,2013-02-23 04:41:56,2013-02-26 05:46:04,13002771CF10A,2013-02-23,,1,F,Felony Petit Theft,1,14002119CF10A,(F3),,2014-02-14,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2013-05-17,2013-11-07,2,2,82,0,1 +6626,terril bishop,terril,bishop,2013-05-26,Male,1989-11-26,26,25 - 45,African-American,0,2,0,0,0,-1,2013-05-25 05:26:05,2013-05-27 06:22:44,13007482CF10A,2013-05-25,,1,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-26,Risk of Violence,3,Low,2013-05-26,2013-05-25,2013-05-27,0,1,1041,0,0 +6627,patrick hoosue,patrick,hoosue,2014-01-27,Male,1974-09-24,41,25 - 45,Hispanic,0,1,0,0,1,-38,2013-12-20 12:51:29,2014-01-19 06:50:56,10000783MM30A,2010-05-04,,1364,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2015-01-26,2015-03-17,1,0,364,0,0 +6629,andrea zambrano,andrea,zambrano,2014-10-14,Female,1987-05-17,28,25 - 45,Caucasian,0,5,0,0,1,0,2014-10-14 03:43:55,2014-10-14 07:31:07,14015046MM10A,2014-10-14,,0,M,Battery,1,16002954CF10A,(F3),0,2016-03-08,Possession of Cannabis,2016-03-08,2016-03-08,,0,,,,,Risk of Recidivism,5,Medium,2014-10-14,Risk of Violence,2,Low,2014-10-14,2016-03-08,2016-03-08,1,0,511,0,1 +6631,darrell walker,darrell,walker,2014-03-02,Male,1972-09-03,43,25 - 45,African-American,0,5,0,0,0,-1,2014-03-01 03:19:11,2014-03-03 02:37:00,14002923CF10A,2014-03-01,,1,F,Uttering a Forged Instrument,1,15000420CF10A,(F3),0,2015-01-09,Uttering a Forged Instrument,2015-01-09,2015-05-07,,0,,,,,Risk of Recidivism,5,Medium,2014-03-02,Risk of Violence,4,Low,2014-03-02,2015-01-09,2015-05-07,0,1,313,1,1 +6633,ryan chitwood,ryan,chitwood,2013-06-14,Male,1986-02-09,30,25 - 45,Caucasian,0,4,0,0,3,225,2014-01-25 03:44:17,2014-04-05 04:50:01,12018809CF10A,2012-12-29,,167,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-14,Risk of Violence,3,Low,2013-06-14,2014-01-25,2014-04-05,3,0,225,0,0 +6634,andre mcgriff,andre,mcgriff,2014-05-15,Male,1982-07-16,33,25 - 45,African-American,0,7,0,0,21,-6,2014-05-09 07:11:46,2014-05-15 10:33:16,14007688MM10A,2014-05-09,,6,M,Viol Pretrial Release Dom Viol,1,16004960TC40A,(M2),,2016-01-14,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2014-05-15,Risk of Violence,6,Medium,2014-05-15,2014-05-09,2014-05-15,21,0,609,1,1 +6636,brandon guerra,brandon,guerra,2013-12-31,Male,1994-11-07,21,Less than 25,Caucasian,0,3,0,1,0,-1,2013-12-30 11:33:39,2013-12-31 07:58:02,13017982CF10A,2013-12-30,,1,M,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-31,Risk of Violence,5,Medium,2013-12-31,2013-12-30,2013-12-31,0,0,822,0,0 +6637,alexandra donovan,alexandra,donovan,2013-02-24,Female,1984-01-25,32,25 - 45,Caucasian,0,1,0,1,0,-1,2013-02-23 05:11:38,2013-02-24 06:41:29,13003781MM10A,2013-02-22,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2013-02-23,2013-02-24,0,0,1132,0,0 +6638,jevon vasquez,jevon,vasquez,2013-02-16,Male,1994-01-11,22,Less than 25,African-American,0,4,0,0,1,0,2013-02-16 03:47:28,2013-02-16 08:18:00,13002386CF10A,2013-02-16,,0,F,Tampering With Physical Evidence,1,13020013MM10A,(M1),0,2013-10-22,Trespass Other Struct/Convey,2013-10-22,2013-10-23,,0,,,,,Risk of Recidivism,4,Low,2013-02-16,Risk of Violence,5,Medium,2013-02-16,2013-10-22,2013-10-23,1,0,248,1,1 +6639,llewellyn jones,llewellyn,jones,2013-10-10,Male,1964-11-23,51,Greater than 45,African-American,0,1,0,0,3,0,2013-10-10 01:07:03,2013-10-10 08:58:56,13014209CF10A,2013-10-10,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-10-10,2013-10-10,3,0,904,0,0 +6641,everett corbin,everett,corbin,2013-10-01,Male,1995-08-24,20,Less than 25,African-American,0,10,0,1,2,-1,2013-09-30 03:21:37,2014-02-06 06:23:17,13013691CF10A,2013-09-30,,1,F,Resist Officer w/Violence,1,14008132MM10A,(M2),,2014-05-16,Criminal Mischief Damage <$200,,,,0,,,,,Risk of Recidivism,10,High,2013-10-01,Risk of Violence,8,High,2013-10-01,2014-02-06,2020-01-01,2,128,227,1,1 +6642,shawn harbison,shawn,harbison,2014-02-14,Male,1980-11-28,35,25 - 45,Caucasian,0,3,0,0,2,-1,2014-02-13 01:00:49,2014-02-14 01:28:38,14002072CF10A,2014-02-13,,1,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-14,Risk of Violence,2,Low,2014-02-14,2014-02-13,2014-02-14,2,0,777,0,0 +6645,tiffany morgan,tiffany,morgan,2013-09-06,Female,1978-07-10,37,25 - 45,African-American,0,1,0,0,3,-1,2013-09-05 07:35:42,2013-10-04 08:46:45,13010467CF10A,,2013-09-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-05,2013-10-04,3,28,938,0,0 +6646,jamelle tucker,jamelle,tucker,2013-11-05,Male,1988-02-18,28,25 - 45,African-American,0,7,0,0,0,-2,2013-11-03 01:15:31,2013-11-03 01:25:05,13020688MM10A,2013-11-02,,3,M,Susp Drivers Lic 1st Offense,1,14007148CF10A,(F3),0,2014-05-22,Use of Anti-Shoplifting Device,2014-05-22,2014-05-23,,0,,,,,Risk of Recidivism,7,Medium,2013-11-05,Risk of Violence,7,Medium,2013-11-05,2014-01-12,2014-01-13,0,0,68,0,1 +6649,chad waldrep,chad,waldrep,2013-09-29,Male,1974-05-10,41,25 - 45,Caucasian,0,5,0,0,3,-1,2013-09-28 06:04:01,2013-09-30 03:51:21,13018467MM10A,2013-09-28,,1,M,Battery,1,14016095CF10A,(F3),,2014-10-10,False Ownership Info/Pawn Item,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-29,Risk of Violence,2,Low,2013-09-29,2014-09-01,2014-09-18,3,1,337,0,1 +6650,luke brooks,luke,brooks,2013-01-18,Male,1991-11-18,24,Less than 25,African-American,0,8,0,0,0,-1,2013-01-17 07:29:28,2013-01-19 03:27:48,13001210MM10A,2013-01-17,,1,M,Battery,1,14011487MM10A,(M1),0,2014-07-28,Battery,2014-07-28,2014-07-29,,1,14011487MM10A,(M1),2014-07-28,Battery,Risk of Recidivism,8,High,2013-01-18,Risk of Violence,8,High,2013-01-18,2014-07-28,2014-07-29,0,1,556,1,1 +6651,niesha johnson,niesha,johnson,2013-02-01,Female,1983-03-18,33,25 - 45,African-American,0,4,0,0,3,-1,2013-01-31 11:52:39,2013-02-02 12:53:13,13002276MM10A,2013-01-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-01-31,2013-02-02,3,1,1155,0,0 +6652,john moses,john,moses,2014-09-23,Male,1990-12-14,25,25 - 45,African-American,0,8,0,0,4,-102,2014-06-13 10:41:12,2014-06-14 05:02:26,14012833CF10A,2014-09-22,,1,F,Pos Cannabis W/Intent Sel/Del,1,15001896CF10A,(F3),,2015-02-10,Pos Cannabis W/Intent Sel/Del,,,,0,,,,,Risk of Recidivism,8,High,2014-09-23,Risk of Violence,5,Medium,2014-09-23,2015-03-15,2015-03-16,4,0,140,1,1 +6653,karlijo teague,karlijo,teague,2014-01-06,Female,1985-12-08,30,25 - 45,Caucasian,0,6,0,0,4,-1,2014-01-05 09:58:29,2014-02-04 01:08:43,13004640CF10A,,2014-01-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-06,Risk of Violence,5,Medium,2014-01-06,2014-01-05,2014-02-04,4,29,816,0,0 +6654,nicholas santos,nicholas,santos,2014-09-11,Male,1995-09-23,20,Less than 25,African-American,0,7,0,0,1,0,2014-09-11 03:33:46,2014-09-17 05:49:54,14012365CF10A,2014-09-11,,0,F,Burglary Unoccupied Dwelling,1,15014350TC30A,(M2),47,2015-02-20,Susp Drivers Lic 1st Offense,2015-04-08,2015-09-27,,0,,,,,Risk of Recidivism,7,Medium,2014-09-11,Risk of Violence,6,Medium,2014-09-11,2014-09-11,2014-09-17,1,6,162,1,1 +6655,nicole daley,nicole,daley,2013-10-30,Female,1974-01-12,42,25 - 45,African-American,0,1,0,0,1,-10,2013-10-20 12:32:39,2013-10-20 06:19:35,13014644CF10A,,2013-10-20,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2013-10-20,2013-10-20,1,0,884,0,0 +6657,shanta mcfadden,shanta,mcfadden,2014-01-07,Female,1975-07-04,40,25 - 45,African-American,0,7,0,0,15,-1,2014-01-06 11:02:48,2014-03-13 06:17:07,14000345CF10A,,2014-01-07,0,F,arrest case no charge,1,15007638CF10A,(F3),,2014-12-01,Crim Use of Personal ID Info,,,,1,15001258CF10A,(F3),2015-01-27,Agg Fleeing and Eluding,Risk of Recidivism,7,Medium,2014-01-07,Risk of Violence,6,Medium,2014-01-07,2014-01-06,2014-03-13,15,65,328,1,1 +6658,kollin whitaker,kollin,whitaker,2014-09-17,Male,1977-03-03,39,25 - 45,African-American,0,4,0,0,0,-1,2014-09-16 05:35:10,2014-09-17 01:31:40,14012574CF10A,2014-09-16,,1,F,Poss Unlaw Issue Id,1,15003423CF10A,(M1),0,2015-03-13,Resist/Obstruct W/O Violence,2015-03-13,2015-03-14,,0,,,,,Risk of Recidivism,4,Low,2014-09-17,Risk of Violence,1,Low,2014-09-17,2015-03-13,2015-03-14,0,0,177,1,1 +6659,odige greguer,odige,greguer,2014-03-02,Male,1994-10-11,21,Less than 25,African-American,0,7,0,0,0,0,2014-03-02 01:56:04,2014-03-05 03:46:32,14002935CF10A,2014-03-02,,0,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-02,Risk of Violence,8,High,2014-03-02,2014-03-02,2014-03-05,0,3,761,0,0 +6660,christian conboy,christian,conboy,2013-04-11,Male,1976-04-25,39,25 - 45,Caucasian,0,2,0,0,2,-2,2013-04-09 05:58:14,2013-04-11 05:07:21,13005100CF10A,2013-04-09,,2,F,Poss Contr Subst W/o Prescript,1,14009823CF10A,(F3),0,2014-07-18,Possession of Hydromorphone,2014-07-18,2014-07-20,,0,,,,,Risk of Recidivism,2,Low,2013-04-11,Risk of Violence,2,Low,2013-04-11,2014-07-18,2014-07-20,2,0,463,1,1 +6661,christopher henderson,christopher,henderson,2013-12-30,Male,1991-11-08,24,Less than 25,Caucasian,0,2,0,0,0,0,2013-12-30 06:38:43,2013-12-30 08:21:57,13017997CF10A,2013-12-30,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-30,Risk of Violence,3,Low,2013-12-30,2013-12-30,2013-12-30,0,0,823,0,0 +6662,james mchelen,james,mchelen,2013-04-22,Male,1974-07-20,41,25 - 45,African-American,0,1,0,0,0,-1,2013-04-21 11:38:31,2013-04-22 07:28:57,13005699CF10A,2013-04-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-21,2013-04-22,0,0,1075,0,0 +6663,vincent cash,vincent,cash,2013-10-03,Male,1976-12-18,39,25 - 45,African-American,0,4,0,0,1,-1,2013-10-02 05:59:48,2013-10-03 07:59:23,13013821CF10A,2013-10-02,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-03,Risk of Violence,2,Low,2013-10-03,2013-10-02,2013-10-03,1,0,911,0,0 +6665,laquana crawford,laquana,crawford,2013-01-25,Female,1992-03-18,24,Less than 25,African-American,0,8,0,0,3,-1,2013-01-24 01:05:25,2013-01-24 02:11:02,13001085CF10A,2013-01-23,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-25,Risk of Violence,10,High,2013-01-25,2013-03-22,2013-03-26,3,0,56,0,0 +6667,zaysha clark,zaysha,clark,2013-05-30,Female,1992-04-03,24,Less than 25,African-American,0,4,0,0,1,-23,2013-05-07 04:49:30,2013-05-08 01:00:01,13006539CF10A,2013-05-07,,23,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-30,Risk of Violence,4,Low,2013-05-30,2014-07-11,2014-08-22,1,0,407,0,0 +6668,louis griffin,louis,griffin,2013-02-28,Male,1986-06-05,29,25 - 45,African-American,0,2,0,0,0,-1,2013-02-27 07:21:50,2013-02-28 08:03:30,13002984CF10A,2013-02-27,,1,M,Disorderly Conduct,1,14043861TC10A,(M2),243,2014-11-26,Driving License Suspended,2015-07-27,2015-08-07,,0,,,,,Risk of Recidivism,2,Low,2013-02-28,Risk of Violence,3,Low,2013-02-28,2013-05-05,2013-05-06,0,0,66,0,1 +6669,percel kinder,percel,kinder,2013-08-22,Male,1976-07-22,39,25 - 45,African-American,0,10,0,0,35,-45,2013-07-08 12:14:46,2013-07-12 05:10:47,13005132CF10A,,2013-07-08,45,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-22,Risk of Violence,8,High,2013-08-22,2013-10-08,2013-10-22,35,0,47,0,0 +6670,aaron hammond,aaron,hammond,2013-10-21,Male,1990-05-31,25,25 - 45,Caucasian,0,5,0,0,2,-12,2013-10-09 01:53:02,2013-10-20 02:26:17,13019146MM10A,2013-10-08,,13,M,Prowling/Loitering,1,15011646CF10A,(F2),1,2015-09-07,Burglary Unoccupied Dwelling,2015-09-08,2015-09-10,,0,,,,,Risk of Recidivism,5,Medium,2013-10-21,Risk of Violence,7,Medium,2013-10-21,2015-09-08,2015-09-10,2,0,686,1,1 +6671,aryam almonte,aryam,almonte,2014-05-10,Female,1993-02-04,23,Less than 25,Caucasian,0,6,0,0,0,-1,2014-05-09 08:34:58,2014-05-11 01:50:08,14006483CF10A,2014-05-09,,1,F,Grand Theft in the 3rd Degree,1,15000317MM10A,(M1),0,2015-01-09,Possess Drug Paraphernalia,2015-01-09,2015-01-10,,0,,,,,Risk of Recidivism,6,Medium,2014-05-10,Risk of Violence,4,Low,2014-05-10,2015-01-09,2015-01-10,0,1,244,1,1 +6672,travis power,travis,power,2013-08-25,Male,1993-10-01,22,Less than 25,African-American,0,10,0,1,1,0,2013-08-25 04:32:04,2013-08-25 08:08:17,13011986CF10A,2013-08-25,,0,F,"Poss3,4 Methylenedioxymethcath",1,14007461CF10A,(M1),0,2014-05-29,Resist/Obstruct W/O Violence,2014-05-29,2014-06-24,,0,,,,,Risk of Recidivism,10,High,2013-08-25,Risk of Violence,10,High,2013-08-25,2014-05-29,2014-06-24,1,0,277,1,1 +6679,amanda england,amanda,england,2014-07-08,Female,1990-03-12,26,25 - 45,Other,0,7,0,0,4,-1,2014-07-07 10:28:01,2014-07-09 10:06:53,14010484MM10A,2014-07-07,,1,M,Battery,1,14017040CF10A,(F3),0,2014-12-24,Felony Battery w/Prior Convict,2014-12-24,2014-12-25,,1,14017040CF10A,(F3),2014-12-24,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2014-07-08,Risk of Violence,4,Low,2014-07-08,2014-12-24,2014-12-25,4,1,169,1,1 +6681,jason fuller,jason,fuller,2013-04-24,Male,1989-11-23,26,25 - 45,African-American,0,9,3,0,3,-1,2013-04-23 05:44:25,2013-11-14 06:32:36,07091584TC20A,2007-10-11,,2022,M,Operating W/O Valid License,1,15050171TC20A,(M2),,2015-09-01,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,9,High,2013-04-24,Risk of Violence,9,High,2013-04-24,2014-04-16,2014-05-20,3,281,357,0,1 +6683,valerie corker,valerie,corker,2014-10-24,Female,1992-04-05,24,Less than 25,African-American,0,6,0,0,3,-1,2014-10-23 06:05:52,2014-10-26 04:44:05,14014302CF10A,2014-10-23,,1,M,PL/Unlaw Use Credit Card,1,15012583MM10A,(M1),,2015-12-04,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,6,Medium,2014-10-24,Risk of Violence,5,Medium,2014-10-24,2014-10-23,2014-10-26,3,2,406,1,1 +6685,derriviann rollins,derriviann,rollins,2013-01-09,Male,1972-03-15,44,25 - 45,African-American,0,5,0,0,0,-1,2013-01-08 05:46:22,2013-02-11 09:37:00,13000460MM10A,2013-01-08,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-09,Risk of Violence,4,Low,2013-01-09,2013-01-08,2013-02-11,0,33,1178,0,0 +6686,michael karamolengos,michael,karamolengos,2014-03-21,Male,1980-01-20,36,25 - 45,Caucasian,0,2,0,0,1,-19,2014-03-02 12:45:36,2014-03-21 11:05:26,13006626CF10A,,2014-03-02,19,F,arrest case no charge,1,15002180CF10A,(F3),,2014-12-04,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-21,Risk of Violence,2,Low,2014-03-21,2014-03-02,2014-03-21,1,0,258,1,1 +6687,marlon greene,marlon,greene,2013-04-17,Male,1977-01-12,39,25 - 45,Caucasian,0,8,0,0,10,-1,2013-04-16 08:15:37,2013-04-17 09:08:31,13005453CF10A,2013-04-16,,1,F,Grand Theft in the 3rd Degree,1,14000780CF10A,(F3),0,2014-01-18,Uttering a Forged Instrument,2014-01-18,2014-03-07,,0,,,,,Risk of Recidivism,8,High,2013-04-17,Risk of Violence,5,Medium,2013-04-17,2014-01-18,2014-03-07,10,0,276,1,1 +6688,thomas mosiman,thomas,mosiman,2013-12-10,Male,1973-07-08,42,25 - 45,Caucasian,0,4,0,0,0,-1,2013-12-09 09:39:35,2013-12-10 01:03:57,13017038CF10A,2013-12-09,,1,F,Possession of LSD,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-09,2013-12-10,0,0,843,0,0 +6689,jays batchanoo,jays,batchanoo,2014-02-10,Male,1971-01-05,45,Greater than 45,Caucasian,0,1,0,0,1,-2,2014-02-08 05:55:50,2014-02-09 08:45:07,14005077MU10A,2014-02-08,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-08,2014-02-09,1,0,781,0,0 +6690,marcus walker,marcus,walker,2013-05-17,Male,1990-11-26,25,25 - 45,African-American,0,10,1,0,7,-1,2013-05-16 04:11:47,2013-06-05 09:16:19,13007009CF10A,2013-05-16,,1,F,Resist Officer w/Violence,1,15005653CF10A,(F3),,2015-04-30,Poss Pyrrolidinovalerophenone,,,,1,16002008MM10A,(M1),2016-02-10,Battery,Risk of Recidivism,10,High,2013-05-17,Risk of Violence,10,High,2013-05-17,2014-03-07,2014-04-13,7,19,294,0,1 +6691,deanna headley,deanna,headley,2013-02-20,Female,1987-08-28,28,25 - 45,Caucasian,0,9,0,0,7,606,2014-10-19 09:33:27,2015-03-13 06:27:01,11014152CF10A,,2012-06-21,244,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-20,Risk of Violence,6,Medium,2013-02-20,2014-10-19,2015-03-13,7,0,606,0,0 +6692,kalim bordones,kalim,bordones,2013-12-12,Male,1982-06-04,33,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-11 01:52:15,2013-12-16 11:33:44,13017134CF10A,2013-12-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-12,Risk of Violence,1,Low,2013-12-12,2013-12-11,2013-12-16,0,4,841,0,0 +6693,nicholas higgins,nicholas,higgins,2013-04-15,Male,1990-05-21,25,25 - 45,Caucasian,0,3,0,0,0,-1,2013-04-14 06:30:50,2013-04-17 09:00:35,13007216MM10A,2013-04-14,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-15,Risk of Violence,4,Low,2013-04-15,2013-04-14,2013-04-17,0,2,1082,0,0 +6695,dalonnte king,dalonnte,king,2013-05-31,Male,1984-01-04,32,25 - 45,African-American,0,4,1,0,5,-10,2013-05-21 04:49:19,2013-05-30 09:32:59,11004931CF10A,,2013-05-21,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-31,Risk of Violence,2,Low,2013-05-31,2013-05-21,2013-05-30,5,0,1036,0,0 +6696,dwayne means,dwayne,means,2013-05-10,Male,1992-10-30,23,Less than 25,African-American,0,7,0,0,0,-1,2013-05-09 11:11:46,2013-05-13 07:39:52,13006646CF10A,2013-05-09,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-10,Risk of Violence,5,Medium,2013-05-10,2013-05-09,2013-05-13,0,3,1057,0,0 +6697,kevin carr,kevin,carr,2013-01-07,Male,1976-05-29,39,25 - 45,Caucasian,0,5,0,0,0,-1,2013-01-06 10:10:12,2013-01-08 05:21:24,13000304MM10A,2013-01-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-07,Risk of Violence,2,Low,2013-01-07,2013-01-06,2013-01-08,0,1,1180,0,0 +6698,roy harris,roy,harris,2013-12-03,Male,1989-01-08,27,25 - 45,African-American,0,8,0,0,12,-1,2013-12-02 01:10:34,2013-12-03 01:33:52,13016662CF10A,2013-12-02,,1,F,Grand Theft Firearm,1,14006164CF10A,(M1),0,2014-05-02,Resist/Obstruct W/O Violence,2014-05-02,2014-05-03,,1,15002728MM10A,(M1),2015-03-07,Battery,Risk of Recidivism,8,High,2013-12-03,Risk of Violence,4,Low,2013-12-03,2014-05-02,2014-05-03,12,0,150,1,1 +6699,yajaira sosa,yajaira,sosa,2013-12-06,Female,1980-08-24,35,25 - 45,Caucasian,0,7,0,0,4,-1,2013-12-05 07:28:23,2013-12-07 04:01:47,13022583MM10A,2013-12-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-06,Risk of Violence,2,Low,2013-12-06,2013-12-05,2013-12-07,4,1,847,0,0 +6701,kwatavis campbell,kwatavis,campbell,2013-10-25,Male,1992-04-26,23,Less than 25,African-American,0,5,0,0,1,-58,2013-08-28 03:10:21,2013-08-30 05:38:20,13012168CF10A,2013-08-28,,58,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,6,Medium,2013-10-25,2014-02-19,2014-03-08,1,0,117,0,0 +6702,linell remekie,linell,remekie,2013-08-29,Female,1977-06-14,38,25 - 45,African-American,0,1,0,0,0,0,2013-08-29 05:44:52,2013-08-30 03:36:06,13016553MM10A,2013-08-29,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-29,Risk of Violence,1,Low,2013-08-29,2013-08-29,2013-08-30,0,1,946,0,0 +6703,brandon brooks,brandon,brooks,2013-03-25,Male,1985-06-15,30,25 - 45,African-American,0,2,0,0,4,-10,2013-03-15 05:52:37,2013-03-22 09:44:51,12016249CF10A,,2013-03-15,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-25,Risk of Violence,2,Low,2013-03-25,2013-03-15,2013-03-22,4,0,1103,0,0 +6704,michael hafford,michael,hafford,2013-12-17,Male,1985-12-28,30,25 - 45,Caucasian,0,5,0,0,1,-1,2013-12-16 10:45:49,2014-01-14 10:17:39,13017366CF10A,2013-12-16,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-17,Risk of Violence,2,Low,2013-12-17,2015-01-13,2015-01-21,1,28,392,0,0 +6705,crystal smith,crystal,smith,2013-02-13,Female,1986-02-12,30,25 - 45,Caucasian,0,8,0,0,0,0,2013-02-13 04:01:09,2013-02-13 08:39:18,13003177MM10A,2013-02-13,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-13,Risk of Violence,5,Medium,2013-02-13,2013-02-13,2013-02-13,0,0,1143,0,0 +6706,darius thomas,darius,thomas,2013-11-04,Male,1989-12-25,26,25 - 45,African-American,1,10,1,0,18,-1,2013-11-03 08:59:31,2014-05-20 06:30:33,13015324CF10A,2013-11-03,,1,F,Grand Theft (Motor Vehicle),1,15007539CF10A,(F3),0,2015-06-09,Tampering With Physical Evidence,2015-06-09,2015-09-17,,0,,,,,Risk of Recidivism,10,High,2013-11-04,Risk of Violence,7,Medium,2013-11-04,2015-06-09,2015-09-17,18,567,582,1,1 +6708,carey banton,carey,banton,2013-05-02,Male,1984-06-19,31,25 - 45,African-American,0,2,0,0,2,-1,2013-05-01 04:24:59,2013-05-03 09:29:24,13006281CF10A,2013-05-01,,1,F,Grand Theft in the 3rd Degree,1,15011802MM10A,(M2),0,2015-11-11,Petit Theft,2015-11-11,2015-11-12,,0,,,,,Risk of Recidivism,2,Low,2013-05-02,Risk of Violence,2,Low,2013-05-02,2014-07-19,2014-07-19,2,1,443,0,0 +6712,melanie graham,melanie,graham,2013-01-07,Female,1974-04-29,41,25 - 45,Caucasian,0,2,0,0,1,,,,12024683MM10A,2012-12-03,,35,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-07,Risk of Violence,1,Low,2013-01-07,,,1,0,1180,0,0 +6713,emmanuel jeanbaptiste,emmanuel,jeanbaptiste,2013-10-15,Male,1981-10-05,34,25 - 45,Other,0,2,0,0,0,-1,2013-10-14 03:41:56,2014-01-30 04:50:11,13014393CF10A,2013-10-14,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-15,Risk of Violence,2,Low,2013-10-15,2013-10-14,2014-01-30,0,107,899,0,0 +6715,stephanie derisse,stephanie,derisse,2013-08-04,Female,1990-11-24,25,25 - 45,African-American,0,5,0,0,0,-1,2013-08-03 01:49:54,2013-09-16 07:24:51,13014667MM10A,2013-08-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-04,Risk of Violence,4,Low,2013-08-04,2013-08-03,2013-09-16,0,43,971,0,0 +6717,stefany gallego,stefany,gallego,2013-02-19,Female,1989-05-19,26,25 - 45,Caucasian,0,6,0,0,1,-13,2013-02-06 10:37:48,2013-02-15 07:52:31,13001852CF10A,2013-02-06,,13,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-19,Risk of Violence,4,Low,2013-02-19,2013-02-06,2013-02-15,1,0,1137,0,0 +6719,michael burgos,michael,burgos,2013-04-28,Male,1977-09-13,38,25 - 45,African-American,0,7,0,0,2,0,2013-04-28 06:17:50,2013-05-07 11:23:15,13006097CF10A,2013-04-28,,0,F,Possession of Cocaine,1,13008995MM10A,(M1),0,2013-05-09,Petit Theft $100- $300,2013-05-09,2013-05-10,,0,,,,,Risk of Recidivism,7,Medium,2013-04-28,Risk of Violence,6,Medium,2013-04-28,2013-05-09,2013-05-10,2,9,11,1,1 +6721,kim mceachrane,kim,mceachrane,2013-03-25,Female,1978-06-17,37,25 - 45,African-American,0,1,0,0,0,-1,2013-03-24 06:22:00,2013-03-25 01:56:07,13005770MM10A,2013-03-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-24,2013-03-25,0,0,1103,0,0 +6722,rocco rombardo,rocco,rombardo,2013-12-27,Male,1982-02-28,34,25 - 45,Caucasian,0,5,0,1,3,-1,2013-12-26 08:22:16,2013-12-27 07:03:25,13023815MM10A,2013-12-26,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-27,Risk of Violence,5,Medium,2013-12-27,2013-12-26,2013-12-27,3,0,826,0,0 +6726,hernan casanova,hernan,casanova,2013-08-23,Male,1972-03-19,44,25 - 45,Hispanic,0,3,0,0,7,-42,2013-07-12 06:15:19,2013-08-07 08:35:51,13009801CF10A,2013-07-12,,42,F,Felony DUI (level 3),1,14008741TC10A,(M2),,2014-02-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-23,Risk of Violence,4,Low,2013-08-23,2015-09-20,2015-09-21,7,0,163,1,1 +6729,marilyn mejias,marilyn,mejias,2013-10-13,Female,1977-11-11,38,25 - 45,Hispanic,0,2,0,0,0,-1,2013-10-12 02:23:33,2013-11-06 11:22:29,13014318CF10A,2013-10-12,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-13,Risk of Violence,1,Low,2013-10-13,2013-10-12,2013-11-06,0,24,901,0,0 +6730,articia carter,articia,carter,2014-02-16,Female,1984-11-07,31,25 - 45,African-American,0,6,0,0,0,-1,2014-02-15 03:11:00,2014-02-17 12:42:48,14002660MM10A,2014-02-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-16,Risk of Violence,5,Medium,2014-02-16,2014-02-15,2014-02-17,0,1,775,0,0 +6731,linette alonso,linette,alonso,2013-04-10,Female,1986-08-21,29,25 - 45,Caucasian,0,2,0,0,0,0,2013-04-10 01:34:30,2013-04-10 08:51:16,13006873MM10A,2013-04-09,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,2,Low,2013-04-10,2013-04-10,2013-04-10,0,0,1087,0,0 +6732,bravon newsome,bravon,newsome,2013-08-29,Male,1995-04-23,20,Less than 25,Caucasian,1,9,0,0,1,28,2013-09-26 11:33:04,2013-10-12 02:22:49,13007029CF10A,,2013-07-10,50,F,arrest case no charge,1,14003049CF10A,(M1),0,2014-03-04,Petit Theft $100- $300,2014-03-04,2014-08-06,,0,,,,,Risk of Recidivism,9,High,2013-08-29,Risk of Violence,10,High,2013-08-29,2013-09-26,2013-10-12,1,0,28,0,1 +6733,sanjay sookhoo,sanjay,sookhoo,2013-02-01,Male,1993-07-30,22,Less than 25,African-American,0,4,0,0,0,-1,2013-01-31 02:25:40,2013-02-01 08:48:35,13001553CF10A,2013-01-31,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,6,Medium,2013-02-01,2015-10-26,2015-10-27,0,0,997,0,0 +6735,carmen manzanares,carmen,manzanares,2014-03-24,Female,1964-12-03,51,Greater than 45,Hispanic,0,1,0,0,0,-3,2014-03-21 10:24:01,2014-03-22 01:21:00,14004986MM10A,2014-03-21,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-24,Risk of Violence,1,Low,2014-03-24,2014-03-21,2014-03-22,0,0,739,0,0 +6737,keenan tisdale,keenan,tisdale,2014-03-31,Male,1991-07-23,24,Less than 25,African-American,0,4,0,0,2,-1,2014-03-30 12:21:59,2014-03-31 01:46:58,14005459MM10A,2014-03-30,,1,M,Battery,1,15001661MM10A,(M1),0,2015-01-20,Use/Poss/Drug Para/Plant/Grow,2015-01-20,2015-01-21,,0,,,,,Risk of Recidivism,4,Low,2014-03-31,Risk of Violence,4,Low,2014-03-31,2015-01-20,2015-01-21,2,0,295,1,1 +6739,dwayne cormier,dwayne,cormier,2014-12-30,Male,1968-09-01,47,Greater than 45,African-American,0,8,0,0,0,-1,2014-12-29 01:25:41,2014-12-30 07:58:52,14017157CF10A,2014-12-29,,1,F,Poss Pyrrolidinovalerophenone,1,15002041CF10A,(F2),1,2015-02-12,Robbery / No Weapon,2015-02-13,2015-09-21,,1,15002041CF10A,(F2),2015-02-12,Robbery / No Weapon,Risk of Recidivism,8,High,2014-12-30,Risk of Violence,6,Medium,2014-12-30,2015-02-13,2015-09-21,0,0,44,1,1 +6740,marie civil,marie,civil,2013-12-19,Female,1979-09-04,36,25 - 45,African-American,0,5,0,0,1,-1,2013-12-18 01:06:25,2013-12-24 05:27:07,13017459CF10A,2013-12-18,,1,F,Driving While License Revoked,1,15071497TC40A,(M2),,2015-11-27,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-19,Risk of Violence,4,Low,2013-12-19,2013-12-18,2013-12-24,1,5,708,1,1 +6741,richllen metellus,richllen,metellus,2013-10-10,Male,1994-05-10,21,Less than 25,African-American,0,4,0,0,1,-1,2013-10-09 04:32:43,2013-10-10 05:30:24,13014178CF10A,2013-10-09,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-10,Risk of Violence,6,Medium,2013-10-10,2013-10-09,2013-10-10,1,0,904,0,0 +6744,jason surace,jason,surace,2013-11-10,Male,1990-07-24,25,25 - 45,African-American,0,10,1,0,3,-1,2013-11-09 12:41:34,2014-01-29 02:12:39,13021148MM10A,2013-11-09,,1,M,Battery,1,15010916CF10A,(F3),0,2015-08-24,Uttering a Forged Instrument,2015-08-24,2015-12-01,,0,,,,,Risk of Recidivism,10,High,2013-11-10,Risk of Violence,9,High,2013-11-10,2014-02-26,2014-12-11,3,80,108,0,1 +6747,neville henry,neville,henry,2013-03-07,Male,1992-11-02,23,Less than 25,African-American,0,9,0,1,5,-1,2013-03-06 05:57:50,2013-03-11 05:35:56,13003336CF10A,2013-03-06,,1,F,Grand Theft in the 3rd Degree,1,13007031MO10A,(MO3),0,2013-04-11,Retail Theft,2013-04-11,2013-04-26,,1,15000216MM10A,(M1),2015-01-06,Battery,Risk of Recidivism,9,High,2013-03-07,Risk of Violence,9,High,2013-03-07,2013-04-11,2013-04-26,5,4,35,1,1 +6748,fred alcius,fred,alcius,2013-09-16,Male,1992-04-26,23,Less than 25,Other,0,3,0,0,0,-1,2013-09-15 08:38:11,2013-09-16 07:24:21,13017574MM10A,2013-09-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-16,Risk of Violence,4,Low,2013-09-16,2013-09-15,2013-09-16,0,0,928,0,0 +6749,valentina parrish,valentina,parrish,2013-10-25,Female,1992-01-27,24,Less than 25,Caucasian,0,10,0,0,0,-1,2013-10-24 01:30:17,2013-10-24 09:21:19,13020094MM10A,2013-10-23,,2,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-25,Risk of Violence,6,Medium,2013-10-25,2014-02-13,2014-02-21,0,0,111,0,0 +6751,adam gillstrap,adam,gillstrap,2014-03-28,Male,1981-04-09,35,25 - 45,Caucasian,0,2,0,0,2,-1,2014-03-27 07:29:25,2014-03-29 09:08:16,13010848CF10A,,2014-03-27,1,F,arrest case no charge,1,15018078TC20A,(M2),281,2015-03-11,Operating W/O Valid License,2015-12-17,2015-12-22,,0,,,,,Risk of Recidivism,2,Low,2014-03-28,Risk of Violence,1,Low,2014-03-28,2014-03-27,2014-03-29,2,1,348,1,1 +6754,juliana byczkowski,juliana,byczkowski,2013-08-07,Female,1993-03-08,23,Less than 25,Hispanic,0,4,0,0,0,-2,2013-08-05 09:00:16,2013-08-06 01:36:03,13014751MM10A,2013-08-05,,2,M,Possess Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-07,Risk of Violence,5,Medium,2013-08-07,2013-08-05,2013-08-06,0,0,968,0,0 +6755,camille hendricks,camille,hendricks,2014-11-19,Female,1996-06-24,19,Less than 25,African-American,0,4,0,0,0,-1,2014-11-18 01:22:13,2014-11-19 10:10:03,14016488MM10A,2014-11-18,,1,M,Criminal Mischief Damage <$200,1,16000229MM10A,(M1),,2015-07-19,Battery,,,,1,16000229MM10A,(M1),2015-07-19,Battery,Risk of Recidivism,4,Low,2014-11-19,Risk of Violence,6,Medium,2014-11-19,2014-11-18,2014-11-19,0,0,242,1,1 +6756,ryan leonard,ryan,leonard,2014-01-24,Male,1984-02-22,32,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-23 06:22:42,2014-01-29 01:56:31,14000996CF10A,2014-01-23,,1,F,Grand Theft (Motor Vehicle),1,15006693MM10A,(M1),,2015-06-21,Possess Cannabis/20 Grams Or Less,,,,1,15009879CF10A,(F7),2015-07-31,Burglary Dwelling Assault/Batt,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,2,Low,2014-01-24,2014-01-23,2014-01-29,0,5,513,1,1 +6758,jaime stepp,jaime,stepp,2013-03-25,Female,1976-06-25,39,25 - 45,Caucasian,0,1,0,0,0,-3,2013-03-22 04:27:55,2013-03-23 02:26:59,13005657MM10A,2013-03-22,,3,M,Lve/Scen/Acc/Veh/Prop/Damage,1,14012287MM10A,(M1),0,2014-08-13,Battery,2014-08-13,2014-08-14,,1,14012287MM10A,(M1),2014-08-13,Battery,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2014-08-13,2014-08-14,0,0,506,1,1 +6759,gordon smith,gordon,smith,2013-02-17,Male,1986-01-29,30,25 - 45,African-American,4,9,0,0,12,0,2013-02-17 04:35:11,2013-02-26 07:47:02,13002427CF10A,2013-02-17,,0,F,Possession of Cocaine,1,13013440CF10A,(F1),0,2013-09-24,Traffick Oxycodone 14g><28g,2013-09-24,2013-10-25,,0,,,,,Risk of Recidivism,9,High,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2013-09-24,2013-10-25,12,9,219,1,1 +6760,oba ifill,oba,ifill,2013-01-04,Male,1982-06-05,33,25 - 45,African-American,0,7,0,0,2,-1,2013-01-03 10:41:22,2013-09-19 06:33:59,13000139CF10A,2013-01-03,,1,F,Tamper With Witness,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-04,Risk of Violence,7,Medium,2013-01-04,2013-01-03,2013-09-19,2,258,1183,0,0 +6762,marco fermincivolani,marco,fermincivolani,2014-10-11,Male,1995-11-18,20,Less than 25,Caucasian,0,3,0,0,0,,,,,,,,M,,1,15002279MM10A,(M2),0,2015-02-24,Petit Theft,2015-02-24,2015-02-26,,0,,,,,Risk of Recidivism,3,Low,2014-10-11,Risk of Violence,5,Medium,2014-10-11,2015-02-24,2015-02-26,0,0,136,1,1 +6763,alicia heeralal,alicia,heeralal,2014-01-11,Female,1980-03-09,36,25 - 45,Caucasian,0,2,0,0,0,-1,2014-01-10 10:17:29,2014-01-11 01:14:10,14000517MM10A,2014-01-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-11,Risk of Violence,1,Low,2014-01-11,2014-01-10,2014-01-11,0,0,811,0,0 +6765,john sanchez,john,sanchez,2014-03-04,Male,1955-02-08,61,Greater than 45,Hispanic,0,1,0,0,1,-81,2013-12-13 09:41:31,2014-03-04 10:10:43,13017239CF10A,2013-12-13,,81,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-04,Risk of Violence,1,Low,2014-03-04,2013-12-13,2014-03-04,1,0,759,0,0 +6766,antonio battle,antonio,battle,2014-10-26,Male,1987-02-03,29,25 - 45,African-American,0,8,1,1,8,-1,2014-10-25 10:44:14,2014-10-28 05:22:44,14014393CF10A,2014-10-25,,1,F,Poss Pyrrolidinovalerophenone,1,15003659TC10A,(M2),0,2014-11-05,Susp Drivers Lic 1st Offense,2014-11-05,2014-12-08,,0,,,,,Risk of Recidivism,8,High,2014-10-26,Risk of Violence,4,Low,2014-10-26,2014-11-05,2014-12-08,8,2,10,1,1 +6769,maria marineau,maria,marineau,2013-08-23,Female,1976-02-13,40,25 - 45,Caucasian,0,2,0,0,0,0,2013-08-23 04:51:28,2013-08-23 07:18:31,13011899CF10A,2013-08-23,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-23,Risk of Violence,1,Low,2013-08-23,2013-08-23,2013-08-23,0,0,952,0,0 +6771,jeffrey sims,jeffrey,sims,2013-09-04,Male,1963-02-18,53,Greater than 45,African-American,0,7,0,0,4,-4,2013-08-31 09:11:48,2013-09-02 08:18:28,13012323CF10A,2013-08-31,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-08-31,2013-09-02,4,0,940,0,0 +6773,michelle gonzalez,michelle,gonzalez,2013-10-28,Female,1987-07-10,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-10-27 10:37:31,2013-10-28 08:11:04,13020372MM10A,2013-10-27,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-28,Risk of Violence,2,Low,2013-10-28,2013-10-27,2013-10-28,0,0,886,0,0 +6774,rosa zacariasreyes,rosa,zacariasreyes,2013-10-07,Male,1978-02-22,38,25 - 45,Hispanic,0,2,0,0,2,0,2013-10-07 03:09:55,2013-11-05 11:20:31,09021940MM10A,2009-09-13,,1485,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-10-07,2013-11-05,2,29,907,0,0 +6775,travis wilson,travis,wilson,2013-01-26,Male,1988-07-08,27,25 - 45,African-American,0,9,1,0,9,-1,2013-01-25 07:13:40,2013-01-27 02:04:02,13001249CF10A,2013-01-25,,1,F,Possession of Cocaine,1,13008214CF10A,(F3),1,2013-06-10,Possession of Cocaine,2013-06-11,2013-06-28,,0,,,,,Risk of Recidivism,9,High,2013-01-26,Risk of Violence,8,High,2013-01-26,2013-01-25,2013-01-27,9,1,135,1,1 +6776,shawn beteza,shawn,beteza,2013-11-09,Male,1960-09-12,55,Greater than 45,Caucasian,0,3,0,0,0,-1,2013-11-08 11:23:28,2013-11-09 02:08:01,13015599CF10A,2013-11-08,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-09,Risk of Violence,1,Low,2013-11-09,2013-11-08,2013-11-09,0,0,874,0,0 +6778,steven khan,steven,khan,2013-08-22,Male,1993-09-01,22,Less than 25,African-American,1,7,0,0,1,-1,2013-08-21 06:28:25,2013-08-23 04:24:26,13015966MM10A,2013-08-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2013-08-21,2013-08-23,1,1,953,0,0 +6780,tiffaney batson,tiffaney,batson,2013-11-20,Female,1981-05-16,34,25 - 45,African-American,0,1,0,0,1,-1,2013-11-19 05:25:02,2013-11-21 09:38:50,13016064CF10A,2013-11-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-11-19,2013-11-21,1,1,863,0,0 +6781,danald champ,danald,champ,2013-05-15,Male,1961-01-05,55,Greater than 45,Caucasian,0,2,0,0,1,-17,2013-04-28 07:24:17,2013-05-02 08:55:43,13008161MM10A,2013-04-28,,17,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,3,Low,2013-05-15,2013-04-28,2013-05-02,1,0,1052,0,0 +6782,luis ayalaadorno,luis,ayalaadorno,2013-02-17,Male,1991-12-11,24,Less than 25,Hispanic,0,8,0,0,2,0,2013-02-17 12:51:20,2013-05-20 05:55:11,11006737CF10A,,2013-02-16,1,F,arrest case no charge,1,15007127CF10A,(F2),0,2015-05-31,Aggravated Battery / Pregnant,2015-05-31,2015-06-01,,1,15007127CF10A,(F2),2015-05-31,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2015-04-11,2015-04-12,2,92,783,0,0 +6783,ava ashley,ava,ashley,2014-03-06,Female,1968-12-19,47,Greater than 45,African-American,0,9,1,1,21,-1,2014-03-05 08:10:16,2014-03-27 05:34:22,14003784MM10A,2014-03-05,,1,M,Battery,1,14013251MM10A,(M1),0,2014-09-04,Possess Cannabis/20 Grams Or Less,2014-09-04,2014-09-05,,0,,,,,Risk of Recidivism,9,High,2014-03-06,Risk of Violence,6,Medium,2014-03-06,2014-09-04,2014-09-05,21,21,182,1,1 +6784,zida boubacar,zida,boubacar,2013-09-09,Male,1975-04-07,41,25 - 45,Other,0,1,0,0,0,0,2013-09-09 04:00:04,2013-09-09 08:07:16,13017204MM10A,2013-09-09,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-09-09,2013-09-09,0,0,935,0,0 +6786,jose granados,jose,granados,2013-07-15,Male,1975-01-02,41,25 - 45,Hispanic,0,3,0,0,0,-2,2013-07-13 07:47:49,2013-07-14 01:34:09,13009842CF10A,2013-07-13,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-15,Risk of Violence,1,Low,2013-07-15,2013-07-13,2013-07-14,0,0,991,0,0 +6788,barry bell,barry,bell,2013-02-06,Male,1955-01-20,61,Greater than 45,African-American,0,3,0,0,12,-1,2013-02-05 05:43:08,2013-10-05 05:26:21,13002961CF10A,2013-02-05,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-06,Risk of Violence,4,Low,2013-02-06,2013-02-05,2013-10-05,12,241,1150,0,0 +6791,telford wallace,telford,wallace,2013-04-27,Male,1958-05-09,57,Greater than 45,African-American,0,1,0,0,3,0,2013-04-27 06:02:34,2013-04-29 01:41:38,13006054CF10A,2013-04-27,,0,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-27,2013-04-29,3,2,1070,0,0 +6793,abigail pomales,abigail,pomales,2013-10-20,Female,1977-10-10,38,25 - 45,Caucasian,0,3,0,0,2,-1,2013-10-19 06:29:28,2013-10-20 05:02:11,13019813MM10A,2013-10-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-20,Risk of Violence,2,Low,2013-10-20,2013-10-19,2013-10-20,2,0,894,0,0 +6794,juan gispert,juan,gispert,2014-01-27,Male,1990-07-13,25,25 - 45,Caucasian,4,4,0,1,13,-1,2014-01-26 04:55:31,2014-01-31 09:33:15,14000738CF10A,,2014-01-27,0,F,arrest case no charge,1,15044570TC30A,(M2),,2015-06-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-27,Risk of Violence,3,Low,2014-01-27,2014-03-20,2014-03-21,13,4,52,0,1 +6796,tony stricklin,tony,stricklin,2014-11-28,Male,1992-08-20,23,Less than 25,African-American,0,2,0,0,0,-1,2014-11-27 03:02:28,2014-11-28 01:33:26,14015921CF10A,2014-11-27,,1,F,Fleeing Or Attmp Eluding A Leo,1,15004991CF10A,(M1),0,2015-04-16,Resist/Obstruct W/O Violence,2015-04-16,2015-05-29,,1,15004991CF10A,(F3),2015-04-16,Battery on Law Enforc Officer,Risk of Recidivism,2,Low,2014-11-28,Risk of Violence,3,Low,2014-11-28,2015-04-16,2015-05-29,0,0,139,1,1 +6798,adam young,adam,young,2013-11-19,Male,1992-04-24,23,Less than 25,Caucasian,0,5,0,0,3,-1,2013-11-18 11:04:11,2013-11-28 03:13:08,13016026CF10A,2013-11-18,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-19,Risk of Violence,6,Medium,2013-11-19,2013-11-18,2013-11-28,3,9,864,0,0 +6800,jahreal young,jahreal,young,2013-12-10,Male,1995-06-03,20,Less than 25,African-American,0,3,0,0,0,-1,2013-12-09 07:22:09,2013-12-10 01:53:59,13017043CF10A,2013-12-09,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-10,Risk of Violence,5,Medium,2013-12-10,2013-12-09,2013-12-10,0,0,843,0,0 +6801,edmund bruguier,edmund,bruguier,2013-10-04,Male,1971-06-27,44,25 - 45,Caucasian,0,8,0,0,1,-1,2013-10-03 06:09:07,2013-10-04 08:07:14,13013889CF10A,2013-10-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-04,Risk of Violence,5,Medium,2013-10-04,2013-10-03,2013-10-04,1,0,910,0,0 +6802,genevieve savage,genevieve,savage,2014-01-10,Female,1977-10-11,38,25 - 45,Caucasian,0,1,0,0,1,-23,2013-12-18 11:16:17,2013-12-20 06:03:00,13023417MM10A,2013-12-18,,23,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-10,Risk of Violence,1,Low,2014-01-10,2013-12-18,2013-12-20,1,0,812,0,0 +6803,dale heck,dale,heck,2013-05-09,Male,1959-12-08,56,Greater than 45,African-American,0,2,0,0,5,-1,2013-05-08 07:41:30,2014-12-27 05:41:15,13006576CF10A,2013-05-08,,1,F,Lewd or Lascivious Molestation,1,13011095MM10A,(M1),,2013-06-07,Extradition/Defendants,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-09,Risk of Violence,2,Low,2013-05-09,2013-05-08,2014-12-27,5,0,29,1,1 +6804,jerry stott,jerry,stott,2013-09-15,Male,1972-10-07,43,25 - 45,Caucasian,0,2,0,0,2,0,2013-09-15 06:58:53,2013-09-20 09:01:55,13013026CF10A,2013-09-15,,0,F,Crimin Mischief Damage $1000+,1,13014626CF10A,(F3),1,2013-10-18,Possession Of Alprazolam,2013-10-19,2013-10-19,,0,,,,,Risk of Recidivism,2,Low,2013-09-15,Risk of Violence,1,Low,2013-09-15,2013-09-15,2013-09-20,2,5,33,1,1 +6805,marcus russell,marcus,russell,2013-04-25,Male,1994-04-10,22,Less than 25,African-American,0,3,0,0,0,-1,2013-04-24 12:13:57,2013-09-21 05:30:00,13005868CF10A,2013-04-23,,2,F,Burglary Dwelling Armed,1,15013385CF10A,(F3),,2015-10-14,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-25,Risk of Violence,5,Medium,2013-04-25,2013-10-08,2013-11-07,0,149,166,0,1 +6807,travis brooks,travis,brooks,2013-10-16,Male,1984-11-21,31,25 - 45,African-American,0,9,0,0,6,-54,2013-08-23 08:52:57,2013-10-15 10:11:07,13011922CF10A,2013-08-23,,54,F,Felon in Pos of Firearm or Amm,1,13083061TC40A,(M2),,2013-11-19,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,9,High,2013-10-16,Risk of Violence,9,High,2013-10-16,2014-08-15,2014-09-02,6,0,34,1,1 +6808,willins louis,willins,louis,2013-12-27,Male,1983-05-16,32,25 - 45,Other,0,1,0,0,0,-1,2013-12-26 06:54:13,2013-12-27 09:23:36,14002330CF10A,2013-12-26,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,2,Low,2013-12-27,2014-05-05,2014-05-06,0,0,129,0,0 +6809,xavier gilbert,xavier,gilbert,2013-11-20,Male,1986-11-21,29,25 - 45,African-American,0,6,0,0,0,0,2013-11-20 02:07:01,2013-11-21 03:36:00,13016124CF10A,2013-11-20,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-20,Risk of Violence,3,Low,2013-11-20,2013-11-20,2013-11-21,0,1,863,0,0 +6810,daniel taylor,daniel,taylor,2013-02-23,Male,1993-11-05,22,Less than 25,African-American,0,9,0,0,1,0,2013-02-23 02:35:50,2013-06-06 09:50:22,13002778CF10A,2013-02-22,,1,F,Robbery Sudd Snatch No Weapon,1,13015209MM10A,(M1),0,2013-08-12,Resist Merchant W Or W/O Viol,2013-08-12,2013-09-26,,0,,,,,Risk of Recidivism,9,High,2013-02-23,Risk of Violence,10,High,2013-02-23,2013-08-12,2013-09-26,1,103,170,1,1 +6811,lorenzo pulliam,lorenzo,pulliam,2013-01-17,Male,1992-09-20,23,Less than 25,African-American,0,9,0,0,3,-1,2013-01-16 09:46:14,2013-03-01 09:56:04,13000750CF10A,2013-01-16,,1,F,Grand Theft (Motor Vehicle),1,13006238CF10A,(F2),0,2013-05-01,Robbery / No Weapon,2013-05-01,2013-09-17,,1,13006238CF10A,(F2),2013-05-01,Robbery / No Weapon,Risk of Recidivism,9,High,2013-01-17,Risk of Violence,8,High,2013-01-17,2013-05-01,2013-09-17,3,43,104,1,1 +6812,ryan wert,ryan,wert,2013-12-19,Male,1991-08-12,24,Less than 25,Caucasian,0,4,0,1,1,-23,2013-11-26 11:09:43,2013-11-28 12:59:40,13016495CF10A,2013-11-26,,23,F,Possession of Morphine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-19,Risk of Violence,4,Low,2013-12-19,2013-11-26,2013-11-28,1,0,834,0,0 +6813,veugopalan devaswamparambil,veugopalan,devaswamparambil,2014-02-03,Male,1970-05-13,45,Greater than 45,Other,0,1,0,0,0,0,2014-02-03 03:10:19,2014-02-03 01:15:51,14004308MU10A,2014-02-03,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-03,2014-02-03,0,0,788,0,0 +6815,gregory taylor,gregory,taylor,2014-03-20,Male,1995-02-08,21,Less than 25,African-American,0,9,1,0,2,-1,2014-03-19 07:43:15,2014-03-20 09:45:37,14003851CF10A,2014-03-19,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-20,Risk of Violence,7,Medium,2014-03-20,2014-03-19,2014-03-20,2,0,743,0,0 +6816,tereese king,tereese,king,2013-10-05,Female,1986-08-08,29,25 - 45,African-American,0,2,0,0,0,0,2013-10-05 04:27:04,2013-10-06 08:51:00,13018956MM10A,2013-10-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-05,Risk of Violence,2,Low,2013-10-05,2013-10-05,2013-10-06,0,1,909,0,0 +6818,lisa jones,lisa,jones,2013-01-14,Female,1965-03-19,51,Greater than 45,Caucasian,0,4,0,0,0,-1,2013-01-13 05:17:52,2013-01-14 07:36:42,13002010TC10A,2013-01-13,,1,M,Leave Acc/Attend Veh/More $50,1,13005843MO10A,(MO3),0,2013-03-25,Trespassing,2013-03-25,2013-03-26,,0,,,,,Risk of Recidivism,4,Low,2013-01-14,Risk of Violence,1,Low,2013-01-14,2013-03-25,2013-03-26,0,0,70,1,1 +6819,pedro brito,pedro,brito,2014-09-22,Male,1979-10-26,36,25 - 45,Hispanic,1,2,0,0,2,-1,2014-09-21 02:00:22,2014-09-22 08:14:22,14013995MM10A,2014-09-21,,1,M,Criminal Mischief,1,14016413MM10A,(M1),1,2014-11-16,Viol Pretrial Release Dom Viol,2014-11-17,2014-11-17,,0,,,,,Risk of Recidivism,2,Low,2014-09-22,Risk of Violence,1,Low,2014-09-22,2014-11-17,2014-11-17,2,0,55,1,1 +6820,frank hamilton,frank,hamilton,2013-08-07,Male,1990-05-01,25,25 - 45,African-American,0,3,0,0,1,0,2013-08-07 04:39:32,2013-08-07 08:25:38,13011052CF10A,2013-08-07,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-07,Risk of Violence,4,Low,2013-08-07,2013-08-07,2013-08-07,1,0,968,0,0 +6824,paul gonzalez,paul,gonzalez,2013-01-03,Male,1970-01-25,46,Greater than 45,Hispanic,0,3,0,0,13,-1,2013-01-02 05:11:36,2013-05-24 03:31:20,13000057CF10A,2013-01-02,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-02,2013-05-24,13,141,1184,0,0 +6825,andrew sanchious,andrew,sanchious,2014-08-29,Male,1953-11-20,62,Greater than 45,African-American,0,8,0,0,22,0,2014-08-29 03:16:29,2014-10-01 09:24:33,14011786CF10A,2014-08-29,,0,F,Possession of Cocaine,1,15004671MM10A,(M1),0,2015-04-24,Resist/Obstruct W/O Violence,2015-04-24,2015-07-10,,0,,,,,Risk of Recidivism,8,High,2014-08-29,Risk of Violence,2,Low,2014-08-29,2015-04-24,2015-07-10,22,33,238,1,1 +6827,oliver chance,oliver,chance,2013-03-22,Male,1991-03-23,25,25 - 45,African-American,0,4,0,0,0,-1,2013-03-21 10:18:18,2013-03-22 08:27:16,13004082CF10A,2013-03-21,,1,F,Pos Cannabis W/Intent Sel/Del,1,14001208MM30A,(M1),,2014-07-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-22,Risk of Violence,5,Medium,2013-03-22,2016-01-22,2016-01-23,0,0,483,1,1 +6828,kelvin diaz,kelvin,diaz,2013-12-15,Male,1988-08-02,27,25 - 45,Caucasian,0,2,0,0,2,-1,2013-12-14 06:09:17,2013-12-16 02:52:14,13017296CF10A,2013-12-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-15,Risk of Violence,3,Low,2013-12-15,2013-12-14,2013-12-16,2,1,838,0,0 +6829,michael lewis,michael,lewis,2013-01-09,Male,1966-09-11,49,Greater than 45,African-American,0,2,0,0,0,,,,,,,,M,,1,15001201MO10A,(MO3),1,2015-01-28,Disorderly Conduct,2015-01-29,2015-04-13,,0,,,,,Risk of Recidivism,2,Low,2013-01-09,Risk of Violence,2,Low,2013-01-09,2013-01-09,2013-01-10,0,1,749,1,0 +6830,alysha beyerlein,alysha,beyerlein,2014-12-03,Female,1993-10-07,22,Less than 25,Caucasian,0,9,0,0,3,-1,2014-12-02 09:38:12,2014-12-05 01:02:20,14016048CF10A,2014-12-02,,1,F,Grand Theft in the 3rd Degree,1,15010005MM10A,(M2),0,2015-09-22,Disorderly Conduct,2015-09-22,2015-10-18,,0,,,,,Risk of Recidivism,9,High,2014-12-03,Risk of Violence,4,Low,2014-12-03,2015-07-01,2015-07-11,3,2,210,0,1 +6831,jaclyn garguilo,jaclyn,garguilo,2014-12-30,Female,1981-09-17,34,25 - 45,Caucasian,0,10,0,0,9,84,2015-03-24 08:42:09,2015-03-25 03:32:11,14003530MO40A,,2014-12-12,18,M,arrest case no charge,1,15013229CF10A,(F2),,2015-10-12,Poss of Firearm by Convic Felo,,,,0,,,,,Risk of Recidivism,10,High,2014-12-30,Risk of Violence,6,Medium,2014-12-30,2015-03-24,2015-03-25,9,0,84,0,1 +6834,roberto sevilla,roberto,sevilla,2014-03-18,Male,1979-03-17,37,25 - 45,Hispanic,0,1,0,0,1,-1,2014-03-17 06:38:54,2014-03-19 10:23:01,14003762CF10A,2014-03-17,,1,F,Aggravated Battery On 65/Older,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-18,Risk of Violence,1,Low,2014-03-18,2014-03-17,2014-03-19,1,1,745,0,0 +6836,alexander lopez,alexander,lopez,2014-03-26,Male,1994-06-21,21,Less than 25,Caucasian,0,3,0,0,0,-1,2014-03-25 03:55:09,2014-03-27 03:42:00,14004241CF10A,2014-03-25,,1,F,False Ownership Info/Pawn Item,1,14009053MM10A,(M1),0,2014-06-07,Battery,2014-06-07,2014-06-08,,1,14009053MM10A,(M1),2014-06-07,Battery,Risk of Recidivism,3,Low,2014-03-26,Risk of Violence,5,Medium,2014-03-26,2014-06-07,2014-06-08,0,1,73,1,1 +6837,william boyd,william,boyd,2014-10-29,Male,1964-10-09,51,Greater than 45,Caucasian,0,1,0,0,3,-125,2014-06-26 12:30:39,2014-06-27 09:10:38,14064088NI20A,2014-08-02,,88,M,Ride Tri-Rail Without Paying,1,16011885TC20A,(M2),,2016-03-08,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-10-29,Risk of Violence,1,Low,2014-10-29,2015-04-29,2015-05-20,3,0,182,0,1 +6838,stephanie kangieser,stephanie,kangieser,2013-05-07,Female,1977-03-13,39,25 - 45,Caucasian,0,5,0,0,2,-1,2013-05-06 09:19:19,2013-05-07 08:11:37,13010121CF10A,2013-05-06,,1,F,Possession Of Cocaine,1,13022550TC10A,(M2),1,2013-05-31,Unlaw LicTag/Sticker Attach,2013-06-01,2013-06-01,,0,,,,,Risk of Recidivism,5,Medium,2013-05-07,Risk of Violence,1,Low,2013-05-07,2013-11-07,2013-12-18,2,0,24,1,1 +6840,kedric taylor,kedric,taylor,2013-12-04,Male,1972-12-19,43,25 - 45,African-American,0,3,0,0,8,-1,2013-12-03 05:36:54,2013-12-04 09:08:37,13016731CF10A,2013-12-03,,1,F,Criminal Mischief,1,14017192CF10A,(F2),130,2014-08-22,Deliver Cocaine,2014-12-30,2014-12-31,,0,,,,,Risk of Recidivism,3,Low,2013-12-04,Risk of Violence,3,Low,2013-12-04,2014-12-30,2014-12-31,8,0,261,1,1 +6846,travis douglas,travis,douglas,2013-08-05,Male,1994-03-19,22,Less than 25,African-American,0,6,0,0,0,0,2013-08-05 04:56:13,2013-08-06 02:53:04,13014754MM10A,2013-08-05,,0,M,Battery,1,14002785MM20A,(M2),,2014-09-11,Petit Theft,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-05,Risk of Violence,8,High,2013-08-05,2013-08-05,2013-08-06,0,1,402,1,1 +6847,lisa byrum,lisa,byrum,2014-01-31,Female,1987-07-06,28,25 - 45,African-American,0,7,0,0,4,-1,2014-01-30 06:24:26,2014-02-01 09:12:42,13017167CF10A,,2014-01-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-31,Risk of Violence,3,Low,2014-01-31,2014-01-30,2014-02-01,4,1,791,0,0 +6850,carlos benitez,carlos,benitez,2014-03-25,Male,1972-05-03,43,25 - 45,Caucasian,0,9,0,0,0,-1,2014-03-24 04:46:11,2014-03-25 03:27:36,14004167CF10A,2014-03-24,,1,F,Grand Theft in the 3rd Degree,1,15005332CF10A,(F3),,2015-04-23,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,9,High,2014-03-25,Risk of Violence,3,Low,2014-03-25,2016-02-04,2016-04-04,0,0,394,1,1 +6851,cesar gonzalez,cesar,gonzalez,2014-10-27,Male,1988-10-12,27,25 - 45,Caucasian,0,8,0,0,7,-1,2014-10-26 11:43:59,2014-10-27 08:16:00,14014410CF10A,2014-10-24,,3,F,Possession of Hydrocodone,1,16008296TC20A,(M2),,2015-05-13,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2014-10-27,Risk of Violence,6,Medium,2014-10-27,2014-10-26,2014-10-27,7,0,198,1,1 +6852,vaughn white,vaughn,white,2013-03-22,Male,1988-06-25,27,25 - 45,Other,0,2,0,0,0,-1,2013-03-21 10:53:37,2013-05-14 11:04:26,13004293CF10A,2013-03-22,,0,F,Fleeing Or Attmp Eluding A Leo,1,15016952TC40A,(M2),,2015-03-13,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-22,Risk of Violence,3,Low,2013-03-22,2013-03-21,2013-05-14,0,53,721,1,1 +6855,david adams,david,adams,2014-04-03,Male,1984-05-30,31,25 - 45,Caucasian,0,2,0,0,1,-1,2014-04-02 07:34:34,2014-04-03 10:48:58,14004606CF10A,2014-04-02,,1,F,Grand Theft in the 3rd Degree,1,14053678TC30A,(M2),,2014-06-21,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,2,Low,2014-04-03,Risk of Violence,2,Low,2014-04-03,2014-04-02,2014-04-03,1,0,79,1,1 +6857,malina campbell,malina,campbell,2013-03-20,Female,1987-09-08,28,25 - 45,African-American,0,2,0,0,0,0,2013-03-20 03:43:32,2013-03-21 01:37:09,13005459MM10A,2013-03-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-20,Risk of Violence,2,Low,2013-03-20,2013-03-20,2013-03-21,0,1,1108,0,0 +6858,gregory beder,gregory,beder,2013-11-12,Male,1957-06-13,58,Greater than 45,Caucasian,0,2,0,0,3,-4,2013-11-08 10:40:39,2013-11-09 01:44:01,13021139MM10A,2013-11-08,,4,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-12,Risk of Violence,1,Low,2013-11-12,2013-11-08,2013-11-09,3,0,871,0,0 +6859,jacob baziak,jacob,baziak,2014-05-16,Male,1993-09-25,22,Less than 25,Caucasian,0,4,0,0,0,-1,2014-05-15 07:37:39,2014-05-21 08:48:32,14006771CF10A,2014-05-15,,1,F,Harm Public Servant Or Family,1,15001138MM10A,(M1),0,2015-01-28,Criminal Mischief>$200<$1000,2015-01-28,2015-02-06,,1,15001138MM10A,(M1),2015-01-28,Battery,Risk of Recidivism,4,Low,2014-05-16,Risk of Violence,5,Medium,2014-05-16,2015-01-28,2015-02-06,0,5,257,1,1 +6860,jorge alarcon,jorge,alarcon,2014-12-15,Male,1995-02-04,21,Less than 25,Hispanic,0,8,0,0,0,,,,14016626CF10A,2014-12-15,,0,M,DUI - Property Damage/Personal Injury,1,15008641TC40A,(M2),,2015-01-18,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2014-12-15,Risk of Violence,8,High,2014-12-15,,,0,0,34,1,1 +6862,donald jarrett,donald,jarrett,2013-12-17,Male,1984-11-20,31,25 - 45,African-American,0,4,0,0,5,-1,2013-12-16 07:40:55,2013-12-18 10:47:22,13017381CF10A,2013-12-16,,1,F,Cruelty Toward Child,1,16000452MM30A,(M1),,2016-03-01,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-17,Risk of Violence,3,Low,2013-12-17,2013-12-16,2013-12-18,5,1,805,1,0 +6863,james brantley,james,brantley,2013-03-24,Male,1983-01-11,33,25 - 45,African-American,0,3,0,0,0,0,2013-03-24 07:30:48,2013-05-03 09:30:14,13004270CF10A,2013-03-24,,0,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,3,Low,2013-03-24,2013-03-24,2013-05-03,0,40,1104,0,0 +6864,kaleb zackery,kaleb,zackery,2013-05-10,Male,1990-02-23,26,25 - 45,African-American,0,10,0,0,6,0,2013-05-10 02:14:04,2013-05-11 05:25:31,13009075MM10A,2013-05-10,,0,M,Susp Drivers Lic 1st Offense,1,15011459TC10A,(M2),,2015-03-21,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-05-10,Risk of Violence,4,Low,2013-05-10,2013-05-10,2013-05-11,6,1,680,1,1 +6866,mariah jackson,mariah,jackson,2014-01-29,Female,1993-02-28,23,Less than 25,African-American,0,5,1,0,1,0,2014-01-29 12:59:29,2014-01-29 07:47:45,14001630MM10A,2014-01-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-29,Risk of Violence,5,Medium,2014-01-29,2014-01-29,2014-01-29,1,0,793,0,0 +6870,raymond siggins,raymond,siggins,2013-09-20,Male,1983-09-24,32,25 - 45,Caucasian,0,10,0,0,11,-1,2013-09-19 02:19:06,2014-02-07 08:54:45,13013226CF10A,2013-09-19,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-20,Risk of Violence,9,High,2013-09-20,2013-09-19,2014-02-07,11,140,924,0,0 +6872,calvin chamblis,calvin,chamblis,2013-01-08,Male,1958-05-18,57,Greater than 45,African-American,0,2,0,0,2,,,,13000285CF10A,2013-01-07,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-08,Risk of Violence,1,Low,2013-01-08,,,2,0,1179,0,0 +6875,nicholas scafidi,nicholas,scafidi,2013-04-07,Male,1993-12-01,22,Less than 25,Caucasian,0,8,0,0,0,0,2013-04-07 02:58:17,2013-04-08 03:59:46,13005002CF10A,2013-04-07,,0,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-07,Risk of Violence,8,High,2013-04-07,2013-04-07,2013-04-08,0,1,1090,0,0 +6877,lashunda barbary,lashunda,barbary,2013-04-17,Female,1981-03-03,35,25 - 45,African-American,0,2,0,0,2,-1,2013-04-16 01:34:39,2013-04-17 06:59:17,13005445CF10A,2013-04-15,,2,F,Aggrav Child Abuse-Agg Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2013-07-24,2013-10-04,2,0,98,0,0 +6878,bruce myers,bruce,myers,2013-04-12,Male,1968-08-23,47,Greater than 45,Caucasian,0,6,0,0,1,0,2013-04-12 07:17:57,2013-07-03 06:42:50,13005312CF10A,2013-04-12,,0,F,Burglary Conveyance Unoccup,1,13005719CF10A,(F3),124,2013-04-20,Burglary Conveyance Unoccup,2013-08-22,2013-10-24,,0,,,,,Risk of Recidivism,6,Medium,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-04-12,2013-07-03,1,0,8,1,1 +6881,elvis morales,elvis,morales,2013-07-23,Male,1981-04-17,35,25 - 45,Hispanic,0,1,0,0,2,-14,2013-07-09 12:32:41,2013-07-23 10:10:46,13009554CF10A,2013-07-08,,15,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-23,Risk of Violence,1,Low,2013-07-23,2015-03-17,2015-11-14,2,0,602,0,0 +6882,thomas dunham,thomas,dunham,2013-03-13,Male,1986-07-24,29,25 - 45,African-American,0,9,0,1,17,-1,2013-03-12 02:05:37,2013-03-13 09:39:33,13003619CF10A,2013-03-12,,1,F,Grand Theft Dwell Property,1,13014466CF10A,(F3),0,2013-10-16,Possession of Hydromorphone,2013-10-16,2013-10-17,,0,,,,,Risk of Recidivism,9,High,2013-03-13,Risk of Violence,8,High,2013-03-13,2013-10-16,2013-10-17,17,0,217,1,1 +6883,diane gay,diane,gay,2013-05-13,Female,1961-05-15,54,Greater than 45,Caucasian,0,2,0,0,1,-7,2013-05-06 04:01:50,2013-05-10 08:38:25,13008747MM10A,2013-05-06,,7,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2014-05-16,2014-05-16,1,0,368,0,0 +6884,cameron weaver,cameron,weaver,2013-08-11,Male,1987-03-16,29,25 - 45,Caucasian,0,8,0,0,0,-1,2013-08-10 05:05:35,2013-11-08 03:38:30,13011238CF10A,2013-08-10,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-11,Risk of Violence,3,Low,2013-08-11,2013-08-10,2013-11-08,0,89,964,0,0 +6885,jessalyn balentine,jessalyn,balentine,2014-05-07,Female,1988-02-17,28,25 - 45,Other,0,4,0,0,0,-1,2014-05-06 11:30:40,2014-05-07 09:38:32,14007480MM10A,2014-05-06,,1,M,Battery,1,14003333MM40A,(M1),,2014-08-03,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2014-05-07,Risk of Violence,3,Low,2014-05-07,2014-05-06,2014-05-07,0,0,88,1,1 +6886,oscar pope,oscar,pope,2013-07-12,Male,1964-09-20,51,Greater than 45,African-American,0,8,0,0,17,-2,2013-07-10 11:25:29,2013-07-11 08:16:02,13009648CF10A,2013-07-10,,2,F,Possession of Cocaine,1,13013848CF10A,(F3),0,2013-10-02,Grand Theft in the 3rd Degree,2013-10-02,2013-12-13,,0,,,,,Risk of Recidivism,8,High,2013-07-12,Risk of Violence,2,Low,2013-07-12,2013-10-02,2013-12-13,17,0,82,1,1 +6888,demetrius bryant,demetrius,bryant,2013-02-09,Female,1979-08-03,36,25 - 45,African-American,0,6,0,0,0,0,2013-02-09 04:56:26,2013-02-10 01:22:54,11003479MO40A,,2013-02-09,0,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-09,Risk of Violence,2,Low,2013-02-09,2013-02-09,2013-02-10,0,1,1147,0,0 +6889,joseph aponte,joseph,aponte,2013-01-20,Male,1980-12-11,35,25 - 45,Caucasian,0,4,0,0,3,-1,2013-01-19 09:17:39,2013-01-29 05:22:25,12008583MM10A,,2013-01-20,0,M,arrest case no charge,1,14031877TC20A,(M2),,2014-04-27,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-20,Risk of Violence,4,Low,2013-01-20,2013-01-19,2013-01-29,3,9,462,1,1 +6892,nathan brown,nathan,brown,2013-10-24,Male,1995-05-30,20,Less than 25,African-American,0,4,0,1,1,-1,2013-10-23 04:10:14,2013-10-24 09:34:30,13014795CF10A,,2013-10-23,1,F,arrest case no charge,1,13001580MM30A,(M2),,2013-12-05,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-24,Risk of Violence,7,Medium,2013-10-24,2013-11-18,2013-11-18,1,0,25,0,1 +6893,gilton bain,gilton,bain,2013-03-02,Male,1990-09-23,25,25 - 45,African-American,0,5,0,0,0,0,2013-03-02 01:54:09,2013-03-04 09:44:28,13003163CF10A,2013-03-01,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-02,Risk of Violence,5,Medium,2013-03-02,2013-03-02,2013-03-04,0,2,1126,0,0 +6894,brian cole,brian,cole,2013-08-01,Male,1987-01-28,29,25 - 45,African-American,0,5,0,0,2,-1,2013-07-31 06:22:13,2013-08-01 08:25:25,11078240TC20A,2011-11-05,,635,M,Fail Register Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-07-31,2013-08-01,2,0,974,0,0 +6896,juan prebal,juan,prebal,2013-11-30,Male,1985-02-20,31,25 - 45,Hispanic,0,10,0,0,0,0,2013-11-30 05:18:06,2013-11-30 01:05:02,13016608CF10A,2013-11-30,,0,F,Possession of Cocaine,1,14000745CF10A,(F2),0,2014-01-17,Robbery / No Weapon,2014-01-17,2014-03-08,,1,14000745CF10A,(F2),2014-01-17,Robbery / No Weapon,Risk of Recidivism,10,High,2013-11-30,Risk of Violence,9,High,2013-11-30,2014-01-17,2014-03-08,0,0,48,1,1 +6898,wilner mascary,wilner,mascary,2013-09-26,Male,1953-06-12,62,Greater than 45,African-American,0,1,0,0,4,,,,12013816CF10A,,2012-09-20,371,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,,,4,0,918,0,0 +6899,eric smithberg,eric,smithberg,2013-01-10,Male,1976-11-11,39,25 - 45,Caucasian,0,2,0,0,0,0,2013-01-10 02:12:21,2013-01-10 07:13:09,13000586MM10A,2013-01-09,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,2,Low,2013-01-10,2013-01-10,2013-01-10,0,0,1177,0,0 +6900,sean mckinney,sean,mckinney,2013-02-26,Male,1985-08-08,30,25 - 45,African-American,0,4,0,0,1,-1,2013-02-25 04:21:41,2013-07-07 04:30:08,13002848CF10A,2013-02-25,,1,F,Burglary Structure Unoccup,1,13018704MM10A,(M1),0,2013-10-01,Possess Cannabis/20 Grams Or Less,2013-10-01,2013-10-02,,0,,,,,Risk of Recidivism,4,Low,2013-02-26,Risk of Violence,3,Low,2013-02-26,2013-10-01,2013-10-02,1,131,217,1,1 +6901,melinda white,melinda,white,2014-01-23,Female,1992-06-29,23,Less than 25,African-American,0,7,0,0,0,0,2014-01-23 01:39:34,2014-01-23 08:11:47,14001015CF10A,2014-01-23,,0,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-23,Risk of Violence,4,Low,2014-01-23,2014-01-23,2014-01-23,0,0,799,0,0 +6904,nia-tarin mars,nia-tarin,mars,2013-12-23,Female,1993-04-09,23,Less than 25,African-American,0,4,0,0,1,-1,2013-12-22 09:21:51,2013-12-23 04:21:18,13017645CF10A,,2013-12-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,4,Low,2013-12-23,2013-12-22,2013-12-23,1,0,830,0,0 +6906,yaquelyn iranzo,yaquelyn,iranzo,2013-06-17,Female,1978-10-08,37,25 - 45,Hispanic,0,3,0,0,0,-3,2013-06-14 10:05:29,2013-06-15 01:27:00,13011462MM10A,2013-06-14,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-17,Risk of Violence,3,Low,2013-06-17,2013-06-14,2013-06-15,0,0,1019,0,0 +6908,marcus johnson,marcus,johnson,2014-11-12,Male,1985-07-13,30,25 - 45,African-American,0,7,0,0,21,0,2014-11-12 12:33:19,2014-11-13 03:38:10,14015122CF10A,2014-11-11,,1,F,Driving While License Revoked,1,14015324CF10A,(F3),0,2014-11-14,Driving While License Revoked,2014-11-14,2014-11-15,,0,,,,,Risk of Recidivism,7,Medium,2014-11-12,Risk of Violence,2,Low,2014-11-12,2014-11-14,2014-11-15,21,1,2,1,1 +6910,michael pratt,michael,pratt,2013-12-09,Male,1983-03-22,33,25 - 45,African-American,0,9,0,3,18,-1,2013-12-08 11:11:49,2013-12-09 08:32:49,13016989CF10A,2013-12-08,,1,F,Grand Theft in the 3rd Degree,1,13017594CF10A,(M1),0,2013-12-20,Resist Merchant W Or W/O Viol,2013-12-20,2013-12-21,,0,,,,,Risk of Recidivism,9,High,2013-12-09,Risk of Violence,8,High,2013-12-09,2013-12-20,2013-12-21,18,0,11,1,1 +6911,marcos castellanos,marcos,castellanos,2014-09-03,Male,1995-11-08,20,Less than 25,Hispanic,0,4,0,0,0,-2,2014-09-01 11:43:59,2014-09-02 07:43:04,14013080MM10A,2014-09-01,,2,M,Resist/Obstruct W/O Violence,1,15000567MM20A,(M2),,2015-02-10,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2014-09-03,Risk of Violence,6,Medium,2014-09-03,2014-09-01,2014-09-02,0,0,160,1,1 +6912,zelda kinchen,zelda,kinchen,2014-02-26,Female,1955-04-10,61,Greater than 45,African-American,0,6,0,0,1,-79,2013-12-09 10:48:15,2014-01-30 10:28:00,11014615CF10A,,2013-12-09,79,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-26,Risk of Violence,3,Low,2014-02-26,2013-12-09,2014-01-30,1,0,765,0,0 +6915,delama casimir,delama,casimir,2013-01-13,Male,1985-12-12,30,25 - 45,African-American,0,7,1,0,9,-1,2013-01-12 01:44:17,2013-01-20 02:33:15,13000551CF10A,2013-01-12,,1,F,Criminal Mischief,1,14005038CF10A,(F3),0,2014-04-11,Grand Theft in the 3rd Degree,2014-04-11,2014-05-16,,1,14015208MM10A,(M1),2014-10-19,Battery,Risk of Recidivism,7,Medium,2013-01-13,Risk of Violence,2,Low,2013-01-13,2014-04-11,2014-05-16,9,7,453,1,1 +6916,carl fleming,carl,fleming,2013-02-23,Male,1992-11-04,23,Less than 25,African-American,0,6,0,0,1,-1,2013-02-22 09:55:37,2013-03-30 04:46:32,13002762CF10A,2013-02-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-23,Risk of Violence,5,Medium,2013-02-23,2013-02-22,2013-03-30,1,35,1133,0,0 +6919,savanna saintilus,savanna,saintilus,2013-01-10,Female,1988-06-30,27,25 - 45,African-American,0,3,0,0,0,-2,2013-01-08 07:18:36,2013-01-09 01:34:00,13000307CF10A,2013-01-08,,2,F,Neglect Child / Bodily Harm,1,14002273CF10A,(F2),0,2014-02-18,Aggrav Battery w/Deadly Weapon,2014-02-18,2014-05-23,,1,14002273CF10A,(F2),2014-02-18,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,3,Low,2013-01-10,2014-02-18,2014-05-23,0,0,404,1,1 +6920,travis reed,travis,reed,2013-02-06,Male,1977-12-12,38,25 - 45,African-American,0,6,1,0,10,-1,2013-02-05 08:38:14,2013-02-06 02:15:49,13001791CF10A,2013-02-05,,1,M,Possess Cannabis 1000FTSch,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-06,Risk of Violence,2,Low,2013-02-06,2014-06-27,2014-07-02,10,0,506,0,0 +6921,sheridan collier,sheridan,collier,2014-02-01,Male,1973-08-10,42,25 - 45,African-American,0,1,0,0,1,-1,2014-01-31 07:36:13,2014-02-02 04:00:35,13016504CF10A,,2014-01-31,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-01,Risk of Violence,1,Low,2014-02-01,2014-12-04,2014-12-12,1,1,306,0,0 +6923,terrance moye,terrance,moye,2013-04-06,Male,1984-08-01,31,25 - 45,African-American,0,3,0,0,0,-1,2013-04-05 12:30:30,2013-04-06 08:02:02,13005072CF10A,2013-04-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-06,Risk of Violence,2,Low,2013-04-06,2013-04-05,2013-04-06,0,0,1091,0,0 +6924,jonathan mcreed,jonathan,mcreed,2013-01-04,Male,1992-05-16,23,Less than 25,African-American,0,9,0,0,2,-1,2013-01-03 05:41:44,2013-01-09 05:44:12,13000125CF10A,2013-01-03,,1,F,Burglary Dwelling Occupied,1,13020997MM10A,(M1),71,2013-08-26,Possess Cannabis/20 Grams Or Less,2013-11-05,2013-11-13,,0,,,,,Risk of Recidivism,9,High,2013-01-04,Risk of Violence,7,Medium,2013-01-04,2013-01-03,2013-01-09,2,5,234,1,1 +6926,brandon ross,brandon,ross,2013-02-05,Male,1985-02-17,31,25 - 45,Caucasian,0,3,0,0,1,-1,2013-02-04 07:24:28,2013-03-15 08:19:29,13001740CF10A,2013-02-04,,1,F,Possession of Cocaine,1,13007175MM10A,(M2),0,2013-04-14,Obstuct By Solicitation,2013-04-14,2013-06-11,,0,,,,,Risk of Recidivism,3,Low,2013-02-05,Risk of Violence,2,Low,2013-02-05,2013-04-14,2013-06-11,1,38,68,1,1 +6927,boston johnson,boston,johnson,2013-11-12,Male,1972-07-01,43,25 - 45,African-American,0,5,0,0,1,-1,2013-11-11 06:15:16,2013-11-16 12:03:49,13021226MM10A,2013-11-11,,1,M,Battery,1,15009798MM10A,(M1),0,2015-09-15,Battery,2015-09-15,2015-09-20,,1,15009798MM10A,(M1),2015-09-15,Battery,Risk of Recidivism,5,Medium,2013-11-12,Risk of Violence,4,Low,2013-11-12,2015-09-15,2015-09-20,1,4,672,1,1 +6929,glenn morris,glenn,morris,2013-09-07,Male,1976-12-03,39,25 - 45,Caucasian,0,3,0,0,0,-1,2013-09-06 10:19:32,2013-09-12 08:10:36,13012607CF10A,2013-09-06,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-06,2013-09-12,0,5,937,0,0 +6931,marcus posey,marcus,posey,2013-02-04,Male,1984-08-23,31,25 - 45,African-American,0,2,0,0,0,-1,2013-02-03 10:14:16,2013-02-07 05:51:57,13001692CF10A,2013-02-03,,1,M,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,2,Low,2013-02-04,2013-02-03,2013-02-07,0,3,1152,0,0 +6932,adrian torres,adrian,torres,2013-01-10,Male,1994-02-21,22,Less than 25,Caucasian,0,7,0,0,3,-1,2013-01-09 05:21:02,2013-05-31 09:29:37,13000391CF10A,2013-01-09,,1,F,Burglary Conveyance Unoccup,1,13017564CF10A,(M1),0,2013-12-20,Resist/Obstruct W/O Violence,2013-12-20,2014-07-26,,0,,,,,Risk of Recidivism,7,Medium,2013-01-10,Risk of Violence,6,Medium,2013-01-10,2013-11-26,2013-12-14,3,141,320,0,1 +6934,roger byrum,roger,byrum,2013-12-19,Female,1982-06-21,33,25 - 45,African-American,0,3,0,0,0,0,2013-12-19 03:05:43,2013-12-21 09:50:58,13017526CF10A,2013-12-19,,0,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-19,Risk of Violence,2,Low,2013-12-19,2013-12-19,2013-12-21,0,2,834,0,0 +6935,zachary moore,zachary,moore,2013-01-27,Male,1994-08-13,21,Less than 25,Caucasian,0,5,1,0,1,115,2013-05-22 07:12:57,2013-05-28 06:47:30,13001323CF10A,2013-01-27,,0,F,Possession of Cocaine,1,13015575MM10A,(M1),0,2013-08-17,Resist/Obstruct W/O Violence,2013-08-17,2013-09-17,,1,14011902CF10A,(F2),2014-09-01,Robbery / No Weapon,Risk of Recidivism,5,Medium,2013-01-27,Risk of Violence,7,Medium,2013-01-27,2013-05-22,2013-05-28,1,0,115,0,1 +6936,nickles stfleur,nickles,stfleur,2013-12-16,Male,1992-09-19,23,Less than 25,African-American,0,6,0,0,1,-1,2013-12-15 04:22:32,2014-04-14 11:42:17,13017336CF10A,2013-12-15,,1,F,Aggravated Battery / Pregnant,1,14015878CF10A,(F3),,2014-09-25,Felony Battery (Dom Strang),,,,1,14015878CF10A,(F3),2014-09-25,Felony Battery (Dom Strang),Risk of Recidivism,6,Medium,2013-12-16,Risk of Violence,8,High,2013-12-16,2013-12-15,2014-04-14,1,119,283,1,1 +6937,maricelis hernandez,maricelis,hernandez,2013-04-17,Female,1987-01-26,29,25 - 45,Caucasian,0,4,0,0,0,-1,2013-04-16 02:44:06,2013-05-14 08:05:34,13005536CF10A,2013-04-16,,1,F,Consp Traff Oxycodone 4g><14g,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-17,Risk of Violence,3,Low,2013-04-17,2013-04-16,2013-05-14,0,27,1080,0,0 +6939,michael madia,michael,madia,2013-01-16,Male,1954-03-10,62,Greater than 45,Caucasian,0,1,0,0,2,-4,2013-01-12 01:16:30,2013-01-15 07:17:11,13001825CF10A,2013-01-11,,5,F,Solicit Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-16,Risk of Violence,1,Low,2013-01-16,2013-02-06,2013-02-07,2,0,21,0,0 +6941,yolanda smith,yolanda,smith,2013-03-18,Female,1960-03-16,56,Greater than 45,African-American,0,2,0,0,1,-24,2013-02-22 11:23:33,2013-02-23 07:43:24,13002756CF10A,2013-02-22,,24,F,Possession of Cocaine,1,13035344TC10A,(M1),,2013-09-01,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-02-22,2013-02-23,1,0,167,1,1 +6943,samantha duvignaud,samantha,duvignaud,2014-03-20,Female,1991-05-07,24,Less than 25,African-American,0,3,0,0,4,-1,2014-03-19 01:55:53,2014-03-21 05:41:57,14003857CF10A,2014-03-19,,1,F,Grand Theft on 65 Yr or Older,1,15036490TC30A,(M2),47,2015-05-14,Operating W/O Valid License,2015-06-30,2015-07-11,,0,,,,,Risk of Recidivism,3,Low,2014-03-20,Risk of Violence,3,Low,2014-03-20,2014-03-19,2014-03-21,4,1,420,1,1 +6944,ella burburan,ella,burburan,2014-03-18,Female,1971-05-27,44,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-17 06:48:31,2014-03-18 01:08:58,14004619MM10A,2014-03-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-18,Risk of Violence,1,Low,2014-03-18,2014-03-17,2014-03-18,0,0,745,0,0 +6946,jeremy smith,jeremy,smith,2013-08-03,Male,1994-03-17,22,Less than 25,African-American,0,7,1,0,2,-1,2013-08-02 05:20:09,2013-08-04 01:34:47,13006125CF10A,,2013-08-02,1,F,arrest case no charge,1,15007109MM10A,(M1),0,2015-07-03,Possess Cannabis/20 Grams Or Less,2015-07-03,2015-07-14,,0,,,,,Risk of Recidivism,7,Medium,2013-08-03,Risk of Violence,8,High,2013-08-03,2015-07-03,2015-07-14,2,1,699,1,1 +6947,vladimir sufra,vladimir,sufra,2014-11-14,Female,1988-04-02,28,25 - 45,African-American,0,5,0,0,4,-1,2014-11-13 03:39:04,2014-11-15 04:22:29,14015245CF10A,2014-11-13,,1,F,Possession of Cocaine,1,15000555MM20A,(M1),,2015-02-09,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2014-11-14,Risk of Violence,2,Low,2014-11-14,2014-11-13,2014-11-15,4,1,87,1,1 +6948,isaac gray,isaac,gray,2013-03-18,Male,1986-04-18,30,25 - 45,African-American,0,5,0,0,0,0,2013-03-18 03:34:14,2013-03-18 06:25:19,13003921CF10A,2013-03-18,,0,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-18,Risk of Violence,3,Low,2013-03-18,2013-03-18,2013-03-18,0,0,1110,0,0 +6949,jerald thornton,jerald,thornton,2014-03-09,Male,1983-12-18,32,25 - 45,Caucasian,0,1,0,0,1,0,2014-03-09 03:49:16,2014-03-10 03:39:54,14003315CF10A,2014-03-08,,1,M,Battery on Law Enforc Officer,1,14068881TC20A,(M2),,2014-09-19,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-09,Risk of Violence,1,Low,2014-03-09,2014-03-09,2014-03-10,1,1,194,1,1 +6950,kenneth mcminn,kenneth,mcminn,2013-03-09,Male,1964-04-26,51,Greater than 45,Caucasian,0,6,0,0,3,-1,2013-03-08 12:35:15,2013-03-25 08:50:15,13003469CF10A,2013-03-08,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-09,Risk of Violence,3,Low,2013-03-09,2014-07-19,2014-07-28,3,16,497,0,0 +6952,keon johnson,keon,johnson,2014-02-03,Male,1994-07-30,21,Less than 25,African-American,0,5,0,0,0,-1,2014-02-02 11:07:12,2014-02-05 07:54:36,14001471CF10A,2014-02-02,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-03,Risk of Violence,6,Medium,2014-02-03,2014-02-02,2014-02-05,0,2,788,0,0 +6955,jeff lafferriere,jeff,lafferriere,2013-08-28,Male,1994-08-09,21,Less than 25,African-American,0,9,0,0,2,-1,2013-08-27 01:32:27,2013-09-14 05:58:00,13012076CF10A,2013-08-27,,1,F,Possession of Cocaine,1,14024190TC10A,(M2),0,2014-05-19,Unlaw LicTag/Sticker Attach,2014-05-19,2014-05-20,,0,,,,,Risk of Recidivism,9,High,2013-08-28,Risk of Violence,9,High,2013-08-28,2014-05-19,2014-05-20,2,17,264,1,1 +6957,akeine banner,akeine,banner,2013-01-02,Male,1988-11-10,27,25 - 45,African-American,0,9,0,0,3,-1,2013-01-01 03:16:15,2013-01-10 04:12:28,13000047CF10A,2013-01-01,,1,F,Carrying Concealed Firearm,1,13017941CF10A,(F1),1,2013-12-28,Robbery W/Firearm,2013-12-29,2015-04-02,,1,13017941CF10A,(F1),2013-12-28,Robbery W/Firearm,Risk of Recidivism,9,High,2013-01-02,Risk of Violence,5,Medium,2013-01-02,2013-01-01,2013-01-10,3,8,360,1,1 +6959,cedgar caraveo,cedgar,caraveo,2013-04-20,Male,1987-10-30,28,25 - 45,Hispanic,0,4,0,0,0,0,2013-04-20 05:28:13,2013-04-20 07:17:54,13005679CF10A,2013-04-20,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,2,Low,2013-04-20,2013-04-20,2013-04-20,0,0,1077,0,0 +6960,judy fleurimond,judy,fleurimond,2013-10-28,Female,1985-03-31,31,25 - 45,African-American,0,1,0,0,0,-1,2013-10-27 01:53:54,2013-10-29 08:51:33,13015008CF10A,2013-10-27,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-28,Risk of Violence,1,Low,2013-10-28,2013-10-27,2013-10-29,0,1,886,0,0 +6961,travas chance,travas,chance,2014-01-19,Male,1982-06-25,33,25 - 45,African-American,0,8,0,0,0,-1,2014-01-18 07:09:21,2014-01-19 08:51:59,14000937MM10A,2014-01-18,,1,M,Battery,1,15004949TC30A,(M2),,2015-01-13,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,8,High,2014-01-19,Risk of Violence,6,Medium,2014-01-19,2014-01-18,2014-01-19,0,0,359,1,1 +6963,elizabeth carlson,elizabeth,carlson,2013-10-02,Female,1967-03-01,49,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-10-01 06:01:14,2013-10-02 03:31:06,13013862CF10A,2013-10-01,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-01,2013-10-02,2,0,912,0,0 +6965,kela simpson,kela,simpson,2013-04-19,Female,1974-09-12,41,25 - 45,Other,0,3,0,0,2,-1,2013-04-18 08:43:09,2013-05-04 02:25:51,04016984CF10C,,2013-04-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-19,Risk of Violence,3,Low,2013-04-19,2014-11-08,2015-01-15,2,15,568,0,0 +6967,edwin oliva,edwin,oliva,2013-10-24,Male,1995-08-05,20,Less than 25,Caucasian,0,4,0,5,0,-1,2013-10-23 05:29:31,2013-10-24 09:33:22,13020111MM10A,2013-10-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-24,Risk of Violence,7,Medium,2013-10-24,2013-10-23,2013-10-24,0,0,890,0,0 +6968,dantae roland,dantae,roland,2013-01-20,Male,1984-08-12,31,25 - 45,African-American,0,6,0,1,10,-1,2013-01-19 07:47:37,2013-07-20 05:53:31,13000890CF10A,2013-01-19,,1,F,Possession of Cocaine,1,14005610CF10A,(F3),0,2014-04-22,Burglary Structure Unoccup,2014-04-22,2014-04-23,,0,,,,,Risk of Recidivism,6,Medium,2013-01-20,Risk of Violence,2,Low,2013-01-20,2014-04-22,2014-04-23,10,181,457,1,1 +6971,brandon altenried,brandon,altenried,2013-02-16,Male,1991-03-21,25,25 - 45,African-American,0,5,0,0,5,-1,2013-02-15 01:46:08,2013-04-05 08:12:37,13002345CF10A,,2013-02-15,1,F,arrest case no charge,1,13014528CF10A,(F3),4,2013-10-14,Grand Theft in the 3rd Degree,2013-10-18,2013-12-19,,0,,,,,Risk of Recidivism,5,Medium,2013-02-16,Risk of Violence,4,Low,2013-02-16,2013-02-15,2013-04-05,5,48,240,1,1 +6975,antwoin graham,antwoin,graham,2013-04-08,Male,1992-12-19,23,Less than 25,African-American,0,9,1,0,4,0,2013-04-08 12:39:29,2013-10-18 05:35:27,13001063CF10A,,2013-04-07,1,F,arrest case no charge,1,13023858MM10A,(M1),0,2013-11-20,Trespass Struct/Convey Occupy,2013-11-20,2014-12-23,,1,13016111CF10A,(F7),2013-11-20,Burglary Dwelling Assault/Batt,Risk of Recidivism,9,High,2013-04-08,Risk of Violence,9,High,2013-04-08,2013-11-20,2014-12-23,4,193,226,1,1 +6976,mathew miranda,mathew,miranda,2013-12-10,Male,1989-11-01,26,25 - 45,Caucasian,0,4,0,0,0,-1,2013-12-09 11:19:57,2013-12-12 09:19:18,13022788MM10A,2013-12-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-10,Risk of Violence,3,Low,2013-12-10,2013-12-09,2013-12-12,0,2,843,0,0 +6977,margaret brezina,margaret,brezina,2014-09-13,Female,1970-12-25,45,Greater than 45,Asian,0,3,0,0,6,-1,2014-09-12 03:56:32,2014-09-14 02:54:56,14012423CF10A,2014-09-12,,1,F,Failure To Return Hired Vehicle,1,15004427MM10A,(M2),0,2015-04-17,Disorderly Conduct,2015-04-17,2015-04-17,,0,,,,,Risk of Recidivism,3,Low,2014-09-13,Risk of Violence,1,Low,2014-09-13,2015-04-17,2015-04-17,6,1,216,0,1 +6979,piero delsolar,piero,delsolar,2013-03-23,Male,1987-05-31,28,25 - 45,Caucasian,0,2,0,0,1,0,2013-03-23 05:48:15,2013-03-24 07:18:54,13005703MM10A,2013-03-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-23,Risk of Violence,2,Low,2013-03-23,2013-03-23,2013-03-24,1,1,1105,0,0 +6980,tracy jackson,tracy,jackson,2014-09-14,Female,1987-10-04,28,25 - 45,African-American,0,9,0,0,13,-1,2014-09-13 03:47:25,2014-10-15 04:09:29,14012456CF10A,2014-09-13,,1,F,Aggravated Battery / Pregnant,1,15006130MM10A,(M2),0,2015-06-04,Petit Theft,2015-06-04,2015-06-09,,0,,,,,Risk of Recidivism,9,High,2014-09-14,Risk of Violence,6,Medium,2014-09-14,2015-06-04,2015-06-09,13,31,263,1,1 +6981,michael alen,michael,alen,2013-10-18,Male,1977-01-11,39,25 - 45,Caucasian,0,1,0,0,0,-3,2013-10-15 01:46:59,2013-10-17 07:53:39,13014426CF10A,2013-10-14,,4,F,Resist Officer w/Violence,1,14041452TC10A,(M2),,2014-10-17,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-18,Risk of Violence,1,Low,2013-10-18,2013-10-15,2013-10-17,0,0,364,1,1 +6982,john hanson,john,hanson,2013-07-12,Male,1957-04-15,59,Greater than 45,Hispanic,0,2,0,0,1,-2,2013-07-10 01:41:52,2013-07-11 08:33:57,13009665CF10A,2013-07-10,,2,F,Possession Of Methamphetamine,1,14002633MM10A,(M2),0,2014-02-14,Disorderly Intoxication,2014-02-14,2014-02-15,,0,,,,,Risk of Recidivism,2,Low,2013-07-12,Risk of Violence,1,Low,2013-07-12,2014-02-14,2014-02-15,1,0,217,1,1 +6983,ricky burley,ricky,burley,2013-06-28,Male,1964-01-28,52,Greater than 45,African-American,0,1,0,0,4,-5,2013-06-23 12:28:04,2013-06-28 12:05:48,13012027MM10A,2013-06-23,,5,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-28,Risk of Violence,1,Low,2013-06-28,2013-06-23,2013-06-28,4,0,1008,0,0 +6986,adam rivera,adam,rivera,2013-12-16,Male,1979-07-15,36,25 - 45,Hispanic,0,5,0,0,1,-1,2013-12-15 10:34:57,2013-12-19 10:27:31,13023230MM10A,2013-12-15,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-16,Risk of Violence,3,Low,2013-12-16,2013-12-15,2013-12-19,1,3,837,0,0 +6988,abraham gutierrez,abraham,gutierrez,2013-06-24,Male,1962-03-24,54,Greater than 45,Hispanic,0,5,0,0,5,149,2013-11-20 02:24:22,2014-02-22 01:33:10,11015284CF10A,2011-09-13,,650,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-24,Risk of Violence,1,Low,2013-06-24,2013-11-20,2014-02-22,5,0,149,0,0 +6989,adam ball,adam,ball,2013-03-29,Male,1983-04-23,32,25 - 45,Caucasian,0,3,0,0,0,500,2014-08-11 10:33:48,2014-08-14 08:43:33,13004485CF10A,2013-03-28,,1,F,Driving While License Revoked,1,14010974CF10A,(F3),0,2014-08-11,Grand Theft in the 3rd Degree,2014-08-11,2014-08-14,,0,,,,,Risk of Recidivism,3,Low,2013-03-29,Risk of Violence,2,Low,2013-03-29,2014-08-11,2014-08-14,0,0,500,1,1 +6990,vanessa gause,vanessa,gause,2013-10-07,Male,1962-02-25,54,Greater than 45,African-American,0,6,0,0,3,-66,2013-08-02 09:41:15,2013-10-07 11:12:37,13027058TC10A,2013-06-04,,125,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-07,Risk of Violence,2,Low,2013-10-07,2013-08-02,2013-10-07,3,0,907,0,0 +6991,tony daniels,tony,daniels,2013-08-30,Male,1985-09-30,30,25 - 45,African-American,0,3,0,0,2,-1,2013-08-29 06:06:24,2013-08-31 04:40:05,13012223CF10A,2013-08-29,,1,F,Deliver Cocaine,1,14010642TC20A,(M2),160,2014-02-09,Unlaw LicTag/Sticker Attach,2014-07-19,2014-07-20,,0,,,,,Risk of Recidivism,3,Low,2013-08-30,Risk of Violence,2,Low,2013-08-30,2013-10-23,2013-11-01,2,1,54,0,1 +6996,violet hammond,violet,hammond,2014-06-03,Female,1994-10-13,21,Less than 25,African-American,0,5,0,0,0,-1,2014-06-02 11:29:19,2014-06-03 11:16:29,14008768MM10A,2014-06-02,,1,M,Battery,1,14001346MM30A,(M1),,2014-08-14,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,5,Medium,2014-06-03,Risk of Violence,5,Medium,2014-06-03,2014-06-02,2014-06-03,0,0,72,1,1 +6997,david pierre,david,pierre,2013-01-27,Male,1991-01-01,25,25 - 45,African-American,0,4,0,0,2,0,2013-01-27 12:21:32,2013-02-01 09:42:31,13003860TC10A,2013-01-26,,1,M,Susp Drivers Lic 1st Offense,1,13020940TC10A,(M2),,2013-05-07,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-27,Risk of Violence,5,Medium,2013-01-27,2013-01-27,2013-02-01,2,5,100,1,1 +6998,eddie vargas,eddie,vargas,2013-05-08,Male,1989-11-07,26,25 - 45,Hispanic,1,5,0,0,1,79,2013-07-26 12:51:45,2014-03-05 11:21:51,08004604CF10A,,2008-11-13,1637,F,arrest case no charge,1,16002121MM10A,(M1),,2016-03-04,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-08,Risk of Violence,4,Low,2013-05-08,2013-07-26,2014-03-05,1,0,79,0,1 +6999,shaquille brown,shaquille,brown,2014-02-20,Male,1993-06-25,22,Less than 25,African-American,0,4,0,0,0,0,2014-02-20 12:25:52,2014-02-20 08:57:04,14002366CF10A,2014-02-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-20,Risk of Violence,4,Low,2014-02-20,2014-02-20,2014-02-20,0,0,771,0,0 +7003,alphonso davis,alphonso,davis,2013-01-15,Male,1954-06-29,61,Greater than 45,African-American,0,2,0,0,20,-1,2013-01-14 09:38:02,2013-02-14 02:10:23,13002146TC10A,2013-01-14,,1,M,Susp Drivers Lic 1st Offense,1,13016772TC10A,(M1),77,2013-03-14,Opert With Susp DL 2nd Offens,2013-05-30,2013-07-08,,0,,,,,Risk of Recidivism,2,Low,2013-01-15,Risk of Violence,1,Low,2013-01-15,2013-01-14,2013-02-14,20,30,58,1,1 +7004,brandon wong,brandon,wong,2013-05-04,Male,1992-03-16,24,Less than 25,Caucasian,0,6,0,2,2,-1,2013-05-03 04:07:08,2013-06-05 01:25:37,13006345CF10A,2013-05-03,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-04,Risk of Violence,5,Medium,2013-05-04,2013-05-03,2013-06-05,2,32,1063,0,0 +7005,fredrick martin,fredrick,martin,2013-04-25,Male,1983-10-03,32,25 - 45,African-American,0,8,0,0,2,,,,09010099CF10A,,2009-05-29,1427,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-25,Risk of Violence,8,High,2013-04-25,2006-03-09,2006-11-08,2,0,1072,0,0 +7006,olivia marshall,olivia,marshall,2014-12-19,Female,1989-08-30,26,25 - 45,Caucasian,0,9,0,0,2,22,2015-01-10 02:50:22,2015-01-10 08:12:37,14015054CF10A,2014-11-08,,41,F,Grand Theft in the 3rd Degree,1,15000359MM10A,(M1),0,2015-01-10,Unlaw Use False Name/Identity,2015-01-10,2015-01-10,,0,,,,,Risk of Recidivism,9,High,2014-12-19,Risk of Violence,4,Low,2014-12-19,2015-01-10,2015-01-10,2,0,22,0,1 +7007,sabrina roper,sabrina,roper,2013-04-30,Female,1981-10-23,34,25 - 45,African-American,0,3,0,0,6,-1,2013-04-29 08:31:32,2013-04-30 01:17:31,13005982CF10A,,2013-04-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-30,Risk of Violence,2,Low,2013-04-30,2013-04-29,2013-04-30,6,0,1067,0,0 +7008,rufus president,rufus,president,2013-03-30,Male,1970-08-04,45,Greater than 45,African-American,1,8,0,0,12,-1,2013-03-29 11:41:25,2013-04-02 07:25:44,13006085MO10A,2013-03-29,,1,M,Soliciting For Prostitution,1,13018035MM10A,(M2),0,2013-09-21,Prowling/Loitering,2013-09-21,2013-10-12,,0,,,,,Risk of Recidivism,8,High,2013-03-30,Risk of Violence,6,Medium,2013-03-30,2013-07-14,2013-07-24,12,3,106,0,1 +7009,gary blake,gary,blake,2014-05-02,Male,1994-01-26,22,Less than 25,African-American,0,5,0,0,1,235,2014-12-23 03:08:41,2015-02-19 04:49:35,13003097CF10A,2013-03-01,,427,F,Grand Theft in the 3rd Degree,1,14023559TC10A,(M2),194,2014-06-12,Fail Register Vehicle,2014-12-23,2015-02-19,,0,,,,,Risk of Recidivism,5,Medium,2014-05-02,Risk of Violence,6,Medium,2014-05-02,2014-12-23,2015-02-19,1,0,41,1,1 +7010,troy shellman,troy,shellman,2013-02-13,Male,1962-01-31,54,Greater than 45,African-American,0,3,0,0,4,0,2013-02-13 04:44:29,2013-02-14 05:24:58,13002237CF10A,2013-02-13,,0,F,Possession of Cocaine,1,14005305MM10A,(M1),0,2014-03-27,Trespass Other Struct/Convey,2014-03-27,2014-03-28,,0,,,,,Risk of Recidivism,3,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-04-12,2013-06-08,4,1,58,0,1 +7011,stephanie nevels,stephanie,nevels,2013-05-05,Male,1964-07-22,51,Greater than 45,African-American,0,5,0,0,8,-1,2013-05-04 09:20:34,2013-05-30 06:14:31,09002853MO30A,2009-08-28,,1346,M,Consume Alcoholic Bev Pub,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-05,Risk of Violence,1,Low,2013-05-05,2013-05-04,2013-05-30,8,25,1062,0,0 +7012,joe thetais,joe,thetais,2013-10-20,Male,1987-04-25,28,25 - 45,African-American,0,2,0,0,0,-1,2013-10-19 09:52:35,2013-10-20 08:40:59,13014659CF10A,2013-10-19,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-20,Risk of Violence,3,Low,2013-10-20,2013-10-19,2013-10-20,0,0,894,0,0 +7015,daniel rosario,daniel,rosario,2013-03-09,Male,1992-12-08,23,Less than 25,Caucasian,0,2,0,0,0,0,2013-03-09 05:57:11,2013-03-10 07:02:54,13003495CF10A,2013-03-09,,0,F,Poss Unlaw Issue Id,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-09,Risk of Violence,5,Medium,2013-03-09,2013-03-09,2013-03-10,0,1,1119,0,0 +7020,philippi altomari,philippi,altomari,2014-11-07,Male,1985-11-16,30,25 - 45,Caucasian,0,2,0,0,0,-1,2014-11-06 07:53:01,2014-11-07 08:42:35,14014926CF10A,2014-11-06,,1,F,Aggravated Battery / Pregnant,1,15000932CF10A,(F3),0,2015-01-21,Pos Cannabis W/Intent Sel/Del,2015-01-21,2015-01-22,,0,,,,,Risk of Recidivism,2,Low,2014-11-07,Risk of Violence,2,Low,2014-11-07,2015-01-21,2015-01-22,0,0,75,1,1 +7022,patrick santiago,patrick,santiago,2013-09-06,Male,1990-05-14,25,25 - 45,African-American,0,3,0,0,0,0,2013-09-06 04:41:35,2013-09-07 05:14:01,13017021MM10A,2013-09-02,,4,M,Operating W/O Valid License,1,14016516TC20A,(M2),415,2014-03-01,Operating W/O Valid License,2015-04-20,2015-04-20,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-06,2013-09-07,0,1,176,1,1 +7023,bryan burnett,bryan,burnett,2013-01-30,Male,1990-09-14,25,25 - 45,Caucasian,0,5,0,0,2,-1,2013-01-29 08:35:09,2013-02-07 09:32:54,13001431CF10A,2013-01-29,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-30,Risk of Violence,3,Low,2013-01-30,2013-01-29,2013-02-07,2,8,1157,0,0 +7024,jon lamore,jon,lamore,2013-09-11,Male,1988-03-23,28,25 - 45,Caucasian,0,7,0,0,2,-1,2013-09-10 11:51:18,2013-09-11 01:36:16,13012812CF10A,2013-09-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-11,Risk of Violence,8,High,2013-09-11,2013-12-24,2014-03-21,2,0,104,0,0 +7025,shellene thorpe,shellene,thorpe,2014-03-26,Female,1983-06-17,32,25 - 45,African-American,0,1,0,0,0,0,2014-03-26 12:39:59,2014-03-26 08:10:27,14005238MM10A,2014-03-25,,1,M,Battery,1,14016669MM10A,(M1),0,2014-11-22,Battery,2014-11-22,2014-11-23,,1,14016669MM10A,(M1),2014-11-22,Battery,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2014-11-22,2014-11-23,0,0,241,1,1 +7026,rashidi nightingale,rashidi,nightingale,2013-05-10,Male,1980-04-28,35,25 - 45,African-American,0,4,0,0,7,-1,2013-05-09 11:20:35,2013-06-07 09:22:48,13004701CF10A,,2013-05-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-10,Risk of Violence,3,Low,2013-05-10,2013-05-09,2013-06-07,7,28,1057,0,0 +7027,reginald fox,reginald,fox,2014-02-15,Male,1967-03-18,49,Greater than 45,African-American,0,1,0,0,0,-1,2014-02-14 01:28:14,2014-02-18 09:21:46,14002627MM10A,2014-02-14,,1,M,Battery,1,14017279MM10A,(M1),0,2014-12-08,Trespass After Warning,2014-12-08,2014-12-09,,0,,,,,Risk of Recidivism,1,Low,2014-02-15,Risk of Violence,1,Low,2014-02-15,2014-12-08,2014-12-09,0,3,296,1,1 +7028,michael babbit,michael,babbit,2013-03-22,Male,1979-06-04,36,25 - 45,Caucasian,0,3,0,0,5,-1,2013-03-21 11:56:43,2013-03-22 08:27:26,13004102CF10A,2013-03-21,,1,F,Possession of Cocaine,1,13009901MM10A,(M1),0,2013-05-22,Extradition/Defendants,2013-05-22,2013-05-29,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,2,Low,2013-03-22,2013-05-22,2013-05-29,5,0,61,1,1 +7029,robie brown,robie,brown,2013-10-05,Male,1982-11-28,33,25 - 45,African-American,0,9,0,0,16,0,2013-10-05 12:52:57,2013-11-07 12:55:45,13018928MM10A,2013-10-04,,1,M,Susp Drivers Lic 1st Offense,1,14000757MM40A,(M1),,2014-02-23,Possess Cannabis/20 Grams Or Less,,,,1,16000514MM10A,(M1),2015-12-14,Battery,Risk of Recidivism,9,High,2013-10-05,Risk of Violence,9,High,2013-10-05,2013-10-05,2013-11-07,16,33,141,1,1 +7030,semisi afu,semisi,afu,2013-08-26,Male,1986-04-19,30,25 - 45,Other,0,1,0,0,1,-1,2013-08-25 09:40:47,2013-08-27 05:13:19,13011997CF10A,2013-08-25,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-26,Risk of Violence,2,Low,2013-08-26,2013-08-25,2013-08-27,1,1,949,0,0 +7032,kathy floris,kathy,floris,2013-06-24,Female,1958-02-08,58,Greater than 45,Caucasian,0,2,0,0,1,-3,2013-06-21 12:44:56,2013-06-21 07:42:46,13011894MM10A,2013-06-20,,4,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-24,Risk of Violence,1,Low,2013-06-24,2013-06-21,2013-06-21,1,0,1012,0,0 +7033,ervin jones,ervin,jones,2013-09-24,Male,1993-10-04,22,Less than 25,African-American,0,7,0,0,2,0,2013-09-24 12:16:02,2013-10-08 05:22:15,13013430CF10A,2013-09-23,,1,F,Felony Battery (Dom Strang),1,15016323CF10A,(F3),,2015-12-22,False Imprisonment,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-24,Risk of Violence,6,Medium,2013-09-24,2015-05-15,2015-05-22,2,14,598,0,0 +7034,matthew dameron,matthew,dameron,2013-01-25,Male,1987-07-13,28,25 - 45,Caucasian,0,3,0,0,2,3,2013-01-28 03:35:04,2013-01-30 07:33:30,13000290CF10A,2013-01-07,,18,F,Possession of Oxycodone,1,13001383CF10A,(F1),0,2013-01-28,Robbery W/Firearm,2013-01-28,2013-01-30,,1,13001383CF10A,(F1),2013-01-28,Robbery W/Firearm,Risk of Recidivism,3,Low,2013-01-25,Risk of Violence,3,Low,2013-01-25,2013-01-28,2013-01-30,2,0,3,1,1 +7036,yonnatan coronell,yonnatan,coronell,2013-04-21,Male,1987-08-03,28,25 - 45,Hispanic,0,1,0,0,0,0,2013-04-21 01:01:10,2013-04-21 07:21:12,13007651MM10A,2013-04-20,,1,M,Battery,1,13011045MM10A,(M1),1,2013-06-07,Driving Under The Influence,2013-06-08,2013-06-10,,0,,,,,Risk of Recidivism,1,Low,2013-04-21,Risk of Violence,2,Low,2013-04-21,2013-08-13,2013-09-01,0,0,47,1,1 +7037,juan hawthorne,juan,hawthorne,2014-12-30,Male,1989-06-22,26,25 - 45,African-American,0,10,1,0,6,-1,2014-12-29 03:29:14,2015-01-02 11:16:53,14017146CF10A,2014-12-29,,1,F,Poss Pyrrolidinovalerophenone,1,15000773CF10A,(F3),1,2015-01-17,Grand Theft (Motor Vehicle),2015-01-18,2015-03-05,,1,15000773CF10A,(F3),2015-01-17,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-12-30,Risk of Violence,9,High,2014-12-30,2014-12-29,2015-01-02,6,3,18,1,1 +7039,charlene cousino,charlene,cousino,2014-02-26,Female,1979-05-27,36,25 - 45,Caucasian,0,1,0,0,3,-2,2014-02-24 08:10:21,2014-02-25 10:04:35,14002627CF10A,2014-02-24,,2,F,Leaving the Scene of Accident,1,15002047CF10A,(F3),0,2015-02-13,Possession Of Heroin,2015-02-13,2015-02-14,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2015-02-13,2015-02-14,3,0,352,1,1 +7040,eriberto gomez,eriberto,gomez,2013-04-07,Male,1992-10-30,23,Less than 25,Caucasian,0,9,0,0,0,0,2013-04-07 03:08:55,2013-04-08 08:21:53,13005008CF10A,2013-04-07,,0,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-07,Risk of Violence,9,High,2013-04-07,2013-04-07,2013-04-08,0,1,1090,0,0 +7041,james amboise,james,amboise,2013-02-01,Male,1994-02-05,22,Less than 25,African-American,0,5,0,0,0,0,2013-02-01 01:09:58,2013-02-02 03:17:57,13001582CF10A,2013-01-31,,1,F,Burglary Unoccupied Dwelling,1,13008782CF10A,(F3),0,2013-06-21,Grand Theft in the 3rd Degree,2013-06-21,2013-06-24,,0,,,,,Risk of Recidivism,5,Medium,2013-02-01,Risk of Violence,6,Medium,2013-02-01,2013-06-21,2013-06-24,0,1,140,1,1 +7042,shain mills,shain,mills,2013-02-06,Male,1990-11-11,25,25 - 45,African-American,0,9,1,0,10,410,2014-03-23 10:05:48,2014-12-09 07:06:18,10013534CF10A,,2013-02-05,1,F,arrest case no charge,1,14004088CF10A,(M1),0,2014-03-23,Resist/Obstruct W/O Violence,2014-03-23,2014-12-09,,0,,,,,Risk of Recidivism,9,High,2013-02-06,Risk of Violence,6,Medium,2013-02-06,2014-03-23,2014-12-09,10,0,410,1,1 +7043,rashad emmons,rashad,emmons,2013-03-28,Male,1989-09-21,26,25 - 45,African-American,0,3,0,0,0,-1,2013-03-27 10:33:56,2013-03-29 09:13:24,13004747CF10A,,2013-03-28,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-28,Risk of Violence,3,Low,2013-03-28,2013-03-27,2013-03-29,0,1,1100,0,0 +7044,charlie simmons,charlie,simmons,2013-10-30,Male,1990-11-27,25,25 - 45,African-American,0,5,0,0,1,0,2013-10-30 02:46:22,2013-10-30 08:28:58,13015140CF10A,2013-10-29,,1,F,Uttering Forged Bills,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-30,Risk of Violence,6,Medium,2013-10-30,2013-10-30,2013-10-30,1,0,884,0,0 +7045,adam salum,adam,salum,2014-07-06,Male,1989-04-28,26,25 - 45,Caucasian,0,7,0,0,7,-125,2014-03-03 03:46:47,2014-03-03 07:52:58,14009238CF10A,2014-07-05,,1,F,Aggravated Assault W/Dead Weap,1,14079682TC40A,(M2),277,2014-11-10,Driving License Suspended,2015-08-14,2015-09-10,,0,,,,,Risk of Recidivism,7,Medium,2014-07-06,Risk of Violence,5,Medium,2014-07-06,2015-09-10,2020-01-01,7,0,127,1,1 +7047,daniel billie,daniel,billie,2013-04-03,Male,1976-03-08,40,25 - 45,Native American,0,6,0,0,2,-1,2013-04-02 08:40:37,2013-04-03 08:44:24,13006373MM10A,2013-04-02,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-03,Risk of Violence,2,Low,2013-04-03,2013-04-02,2013-04-03,2,0,1094,0,0 +7048,travis johnson,travis,johnson,2013-05-08,Male,1987-08-12,28,25 - 45,African-American,0,2,0,0,0,-1,2013-05-07 09:33:26,2013-05-08 07:07:39,13008834MM10A,2013-05-07,,1,M,Viol Injunction Protect Dom Vi,1,15007517TC20A,(M2),,2015-01-03,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-08,Risk of Violence,3,Low,2013-05-08,2015-10-25,2015-11-04,0,0,605,1,1 +7050,miguel arrietarosales,miguel,arrietarosales,2013-08-21,Male,1976-01-01,40,25 - 45,Hispanic,0,2,0,0,1,,,,12003419MM10A,2012-02-18,,550,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-21,Risk of Violence,2,Low,2013-08-21,,,1,0,954,0,0 +7051,reginald herman,reginald,herman,2013-12-18,Male,1959-09-22,56,Greater than 45,African-American,0,1,0,0,1,-1,2013-12-17 05:46:51,2013-12-18 10:30:00,13017434CF10A,2013-12-17,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-18,Risk of Violence,1,Low,2013-12-18,2013-12-17,2013-12-18,1,0,835,0,0 +7052,mark bird,mark,bird,2013-09-20,Male,1964-06-11,51,Greater than 45,Caucasian,0,2,0,0,3,-87,2013-06-25 10:02:01,2013-09-19 12:07:40,07017047CF10A,,2013-06-25,87,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-20,Risk of Violence,2,Low,2013-09-20,2013-12-26,2014-04-14,3,0,97,0,0 +7053,desta celestin,desta,celestin,2013-04-13,Male,1979-11-17,36,25 - 45,African-American,0,4,0,0,0,-1,2013-04-12 05:15:11,2014-01-17 10:44:53,13005303CF10A,2013-04-12,,1,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-13,Risk of Violence,3,Low,2013-04-13,2013-04-12,2014-01-17,0,279,1084,0,0 +7054,victor fals,victor,fals,2013-03-11,Male,1964-08-16,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-10 12:30:54,2013-03-12 09:49:53,13004810MM10A,2013-03-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-03-10,2013-03-12,0,1,1117,0,0 +7055,max williams,max,williams,2013-08-30,Male,1990-05-14,25,25 - 45,Caucasian,0,5,0,0,2,,,,13012214CF10A,2013-08-29,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-30,Risk of Violence,3,Low,2013-08-30,,,2,0,945,0,0 +7058,adrian dorsett,adrian,dorsett,2013-01-09,Male,1993-11-29,22,Less than 25,African-American,0,6,1,0,1,,,,09024265TC10A,2009-08-17,,1241,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-09,Risk of Violence,9,High,2013-01-09,,,1,0,1178,0,0 +7060,juanita sawyer,juanita,sawyer,2013-04-21,Female,1980-05-19,35,25 - 45,African-American,2,8,0,0,9,-1,2013-04-20 09:10:17,2013-10-11 06:10:26,13005080CF10A,,2013-04-20,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-21,Risk of Violence,7,Medium,2013-04-21,2013-04-20,2013-10-11,9,173,1076,0,0 +7061,leonardo alvarenga,leonardo,alvarenga,2013-01-16,Male,1992-03-22,24,Less than 25,Caucasian,0,5,0,0,0,-1,2013-01-15 09:56:12,2013-01-16 09:26:27,13000998MM10A,2013-01-15,,1,M,Driving License Suspended,1,13023113MM10A,(M1),,2013-09-10,Sale of Alcoholic Bev to Minor,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-16,Risk of Violence,4,Low,2013-01-16,2013-01-15,2013-01-16,0,0,237,1,1 +7063,lanis baxley,lanis,baxley,2013-06-18,Male,1949-04-24,66,Greater than 45,African-American,0,2,0,0,5,-40,2013-05-09 02:20:05,2013-06-03 08:55:17,13008978MM10A,2013-05-09,,40,M,Battery,1,15006807MM10A,(M1),0,2015-06-20,Trespass After Warning,2015-06-20,2015-06-22,,0,,,,,Risk of Recidivism,2,Low,2013-06-18,Risk of Violence,1,Low,2013-06-18,2013-08-14,2013-09-25,5,0,57,0,1 +7064,sanford hill,sanford,hill,2013-02-27,Male,1989-03-08,27,25 - 45,African-American,0,4,0,0,6,-1,2013-02-26 06:14:33,2013-02-27 09:40:45,13004002MM10A,2013-02-26,,1,M,Battery,1,13027788TC10A,(M2),,2013-03-24,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-27,Risk of Violence,4,Low,2013-02-27,2013-02-26,2013-02-27,6,0,25,1,1 +7067,tyler anderson,tyler,anderson,2013-03-01,Male,1994-02-27,22,Less than 25,Caucasian,0,9,1,0,2,0,2013-03-01 02:35:25,2013-03-02 09:45:12,13003112CF10A,2013-03-01,,0,F,Poss F/Arm Delinq,1,13025122TC10A,(M2),,2013-06-17,Operating W/O Valid License,,,,1,14011631CF10A,(F3),2014-08-26,Battery on Law Enforc Officer,Risk of Recidivism,9,High,2013-03-01,Risk of Violence,7,Medium,2013-03-01,2013-06-17,2013-11-07,2,1,108,1,1 +7068,darrell evans,darrell,evans,2013-02-20,Male,1972-06-09,43,25 - 45,Caucasian,0,1,0,0,2,-41,2013-01-10 05:45:14,2013-02-20 01:46:33,13000471CF10A,,2013-01-10,41,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-01-10,2013-02-20,2,0,1136,0,0 +7070,deondre bowden,deondre,bowden,2013-08-07,Male,1993-12-11,22,Less than 25,African-American,0,6,0,0,2,-64,2013-06-04 09:32:44,2013-07-24 07:39:53,13007927CF10A,2013-06-04,,64,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-07,Risk of Violence,7,Medium,2013-08-07,2013-06-04,2013-07-24,2,0,968,0,0 +7073,freddy crespo,freddy,crespo,2013-02-06,Male,1984-11-11,31,25 - 45,African-American,0,10,0,0,4,67,2013-04-14 05:41:17,2013-06-01 04:53:55,13002220MM10A,2013-01-02,,35,M,Possess Cannabis/20 Grams Or Less,1,13010232MM10A,(M1),,2013-04-13,Battery,,,,1,13010232MM10A,(M1),2013-04-13,Battery,Risk of Recidivism,10,High,2013-02-06,Risk of Violence,8,High,2013-02-06,2016-03-26,2016-03-27,4,0,66,1,1 +7074,rozanna nicholson,rozanna,nicholson,2013-11-09,Female,1992-07-25,23,Less than 25,Caucasian,0,9,0,0,4,-1,2013-11-08 05:42:42,2014-03-21 11:34:17,13021147MM10A,2013-11-08,,1,M,Battery,1,14006428MM10A,(M1),0,2014-04-16,Trespass Other Struct/Conve,2014-04-16,2014-04-21,,0,,,,,Risk of Recidivism,9,High,2013-11-09,Risk of Violence,5,Medium,2013-11-09,2014-04-16,2014-04-21,4,132,158,1,1 +7076,michelle briceno,michelle,briceno,2013-12-10,Female,1988-11-23,27,25 - 45,Caucasian,0,2,0,0,0,0,2013-12-10 04:28:18,2013-12-10 01:02:58,13022839MM10A,2013-12-10,,0,M,Driving Under The Influence,1,14009506TC10A,(M2),0,2014-03-09,DWLS Canceled Disqul 1st Off,2014-03-09,2014-03-10,,0,,,,,Risk of Recidivism,2,Low,2013-12-10,Risk of Violence,2,Low,2013-12-10,2014-03-09,2014-03-10,0,0,89,1,1 +7077,onel simon,onel,simon,2013-12-07,Male,1984-06-19,31,25 - 45,African-American,0,9,0,0,8,-1,2013-12-06 08:07:21,2013-12-07 07:35:32,13016921CF10A,2013-12-06,,1,F,Driving While License Revoked,1,14000671CF10A,(M1),1,2014-01-14,Possess Cannabis/20 Grams Or Less,2014-01-15,2014-05-12,,0,,,,,Risk of Recidivism,9,High,2013-12-07,Risk of Violence,5,Medium,2013-12-07,2015-11-21,2015-11-24,8,0,38,1,1 +7078,clarence paulk,clarence,paulk,2013-03-05,Male,1954-07-23,61,Greater than 45,African-American,0,8,0,0,29,-50,2013-01-14 09:10:56,2013-02-02 07:32:22,13000644CF10A,2013-01-14,,50,F,Grand Theft in the 3rd Degree,1,13013877CF10A,(F3),,2013-10-03,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,8,High,2013-03-05,Risk of Violence,5,Medium,2013-03-05,2013-06-01,2013-06-01,29,0,88,0,1 +7079,travis bradford,travis,bradford,2013-04-08,Male,1990-04-26,25,25 - 45,Caucasian,0,7,0,1,3,-1,2013-04-07 05:01:37,2013-04-15 02:07:02,13004974CF10A,2013-04-06,,2,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-08,Risk of Violence,5,Medium,2013-04-08,2013-04-07,2013-04-15,3,7,1089,0,0 +7080,miriam torres,miriam,torres,2013-08-01,Female,1963-06-03,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-07-31 09:14:55,2013-08-01 07:36:57,13014466MM10A,2013-07-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-07-31,2013-08-01,0,0,974,0,0 +7082,anthony martinez,anthony,martinez,2013-01-19,Male,1980-11-01,35,25 - 45,Hispanic,0,7,0,0,0,-1,2013-01-18 07:51:52,2013-01-19 07:34:56,13000885CF10A,2013-01-18,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-19,Risk of Violence,4,Low,2013-01-19,2013-01-18,2013-01-19,0,0,1168,0,0 +7084,amanda blankenship,amanda,blankenship,2013-07-22,Female,1991-08-24,24,Less than 25,Caucasian,0,5,0,0,0,-3,2013-07-19 07:41:18,2013-07-20 01:59:43,13010141CF10A,2013-07-19,,3,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-22,Risk of Violence,2,Low,2013-07-22,2014-01-09,2014-02-04,0,0,171,0,0 +7086,tony samuels,tony,samuels,2013-07-31,Male,1965-10-18,50,Greater than 45,African-American,1,10,0,0,13,160,2014-01-07 01:19:09,2014-03-08 02:07:14,12016358MM10A,2012-08-09,,356,M,Battery,1,15009704CF10A,(F3),,2015-07-28,Poss Pyrrolidinovalerophenone,,,,0,,,,,Risk of Recidivism,10,High,2013-07-31,Risk of Violence,5,Medium,2013-07-31,2014-01-07,2014-03-08,13,0,160,0,1 +7087,walter pharicien,walter,pharicien,2013-09-20,Male,1959-02-18,57,Greater than 45,Other,0,1,0,0,0,0,2013-09-20 12:53:41,2013-09-27 09:19:14,13013238CF10A,2013-09-19,,1,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-09-20,2013-09-27,0,7,924,0,0 +7092,james fields,james,fields,2013-09-07,Male,1978-03-19,38,25 - 45,Caucasian,0,1,0,0,2,-1,2013-09-06 08:02:17,2013-09-07 08:08:36,13012624CF10A,,2013-09-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-06,2013-09-07,2,0,937,0,0 +7093,davel mcdonald,davel,mcdonald,2013-10-07,Male,1993-05-19,22,Less than 25,African-American,0,3,0,0,1,-66,2013-08-02 03:44:18,2013-10-04 08:35:25,13010914CF10A,2013-08-01,,67,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-08-02,2013-10-04,1,0,907,0,0 +7095,ronald baquedano-rivera,ronald,baquedano-rivera,2013-03-04,Male,1989-12-09,26,25 - 45,Hispanic,0,5,0,0,1,-2,2013-03-02 05:50:22,2013-03-03 09:01:18,13004278MM10A,2013-03-02,,2,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-04,Risk of Violence,3,Low,2013-03-04,2013-03-02,2013-03-03,1,0,1124,0,0 +7097,darryl weaver,darryl,weaver,2013-10-25,Male,1990-11-03,25,25 - 45,African-American,2,10,3,0,8,-230,2013-03-09 01:07:58,2013-09-10 10:03:00,12010496CF10A,,2013-09-09,46,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-25,Risk of Violence,9,High,2013-10-25,2015-04-07,2015-05-18,8,0,529,0,0 +7098,john victor,john,victor,2014-10-22,Male,1995-12-03,20,Less than 25,African-American,0,7,0,0,3,-1,2014-10-21 01:25:52,2014-11-11 03:58:25,14014184CF10A,2014-10-21,,1,F,Burglary Unoccupied Dwelling,1,14015839CF10A,(M2),0,2014-11-25,Prowling/Loitering,2014-11-25,2015-07-17,,0,,,,,Risk of Recidivism,7,Medium,2014-10-22,Risk of Violence,10,High,2014-10-22,2014-11-25,2015-07-17,3,20,34,1,1 +7099,dathmus lane,dathmus,lane,2013-10-14,Male,1982-01-03,34,25 - 45,African-American,0,2,0,0,2,-1,2013-10-13 07:34:35,2013-10-14 10:04:31,13014341CF10A,2013-10-13,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,2013-10-13,2013-10-14,2,0,900,0,0 +7100,tyrone bliss,tyrone,bliss,2013-10-01,Male,1990-05-02,25,25 - 45,African-American,0,9,0,0,11,-1,2013-09-30 11:08:21,2013-10-30 01:41:59,13018604MM10A,2013-09-30,,1,M,Battery,1,14004616MM10A,(M1),0,2014-03-17,Possess Cannabis/20 Grams Or Less,2014-03-17,2014-04-07,,0,,,,,Risk of Recidivism,9,High,2013-10-01,Risk of Violence,7,Medium,2013-10-01,2014-03-17,2014-04-07,11,29,167,1,1 +7101,danyelle lampert,danyelle,lampert,2013-12-14,Female,1991-08-12,24,Less than 25,Caucasian,0,5,0,0,0,-1,2013-12-13 03:20:31,2013-12-14 01:25:18,13017257CF10A,2013-12-13,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-14,Risk of Violence,4,Low,2013-12-14,2014-07-05,2014-07-16,0,0,203,0,0 +7103,luis miranda,luis,miranda,2013-07-16,Male,1991-12-20,24,Less than 25,Other,0,5,0,0,4,-40,2013-06-06 08:04:10,2013-07-16 11:39:42,13008187CF10A,2013-06-06,,40,F,Shoot Into Vehicle,1,16003113CF10A,(F1),,2016-03-12,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-16,Risk of Violence,7,Medium,2013-07-16,2013-06-06,2013-07-16,4,0,970,1,0 +7104,daniel merico,daniel,merico,2013-01-24,Male,1967-01-28,49,Greater than 45,Caucasian,0,6,0,0,4,0,2013-01-24 02:26:10,2013-02-10 04:25:50,13001695MO10A,2013-01-23,,1,M,Battery Spouse Or Girlfriend,1,13013250MM10A,(M2),0,2013-07-12,Disorderly Intoxication,2013-07-12,2013-07-15,,1,13021680MM10A,(M1),2013-11-18,Battery,Risk of Recidivism,6,Medium,2013-01-24,Risk of Violence,4,Low,2013-01-24,2013-07-12,2013-07-15,4,17,169,1,1 +7105,kendrick daise,kendrick,daise,2014-08-05,Male,1988-08-12,27,25 - 45,African-American,0,10,0,0,15,-1,2014-08-04 05:54:34,2014-09-03 09:09:40,14010610CF10A,2014-08-04,,1,F,Aggravated Battery / Pregnant,1,15013108CF10A,(F3),1,2015-10-09,Possession of Cocaine,2015-10-10,2015-10-10,,0,,,,,Risk of Recidivism,10,High,2014-08-05,Risk of Violence,5,Medium,2014-08-05,2014-08-04,2014-09-03,15,29,430,1,1 +7107,dustin yearby,dustin,yearby,2013-10-24,Male,1987-06-26,28,25 - 45,African-American,0,5,0,0,10,-20,2013-10-04 04:47:46,2013-10-24 10:24:03,13013940CF10A,2013-10-04,,20,F,Possession of Cocaine,1,13017065CF10A,(F3),0,2013-12-10,Possession of Cocaine,2013-12-10,2015-09-05,,0,,,,,Risk of Recidivism,5,Medium,2013-10-24,Risk of Violence,3,Low,2013-10-24,2013-12-10,2015-09-05,10,0,47,1,1 +7108,fanel eldine,fanel,eldine,2014-08-04,Male,1983-03-12,33,25 - 45,African-American,0,5,0,0,15,,,,12008851MM10A,,2012-07-30,735,M,arrest case no charge,1,14002563MM20A,(M1),,2014-08-23,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,5,Medium,2014-08-04,Risk of Violence,2,Low,2014-08-04,,,15,0,19,1,1 +7109,roberto puertas,roberto,puertas,2013-02-05,Male,1961-01-09,55,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-02-04 07:14:30,2013-02-05 07:13:24,13001744CF10A,2013-02-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-02-04,2013-02-05,0,0,1151,0,0 +7110,joseph flynn,joseph,flynn,2013-10-04,Male,1990-08-19,25,25 - 45,Caucasian,0,4,0,1,1,,,,11020217CF10A,2011-12-12,,662,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-04,Risk of Violence,6,Medium,2013-10-04,,,1,0,910,0,0 +7111,todd gologorsky,todd,gologorsky,2013-02-12,Male,1969-03-03,47,Greater than 45,Caucasian,0,3,0,0,3,-1,2013-02-11 11:20:09,2013-02-24 07:36:15,13003051MM10A,2013-02-11,,1,M,Battery,1,13090520TC30A,(M2),,2013-09-09,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-12,Risk of Violence,2,Low,2013-02-12,2013-02-11,2013-02-24,3,12,209,1,1 +7112,nathaniel owens,nathaniel,owens,2014-08-17,Male,1960-07-24,55,Greater than 45,African-American,0,7,0,0,10,-1,2014-08-16 02:53:35,2014-08-20 09:38:09,14012374MM10A,2014-08-16,,1,M,Battery,1,14012369CF10A,(F3),0,2014-09-11,Felony Petit Theft,2014-09-11,2015-02-26,,1,15004156CF10A,(F3),2015-03-29,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2014-08-17,Risk of Violence,4,Low,2014-08-17,2014-09-11,2015-02-26,10,3,25,1,1 +7114,justin slater,justin,slater,2013-01-11,Male,1993-04-22,22,Less than 25,African-American,0,3,0,0,0,-1,2013-01-10 02:17:31,2013-01-11 11:09:25,13000468CF10A,2013-01-10,,1,F,Possession Burglary Tools,1,13004109CF10A,(F3),0,2013-03-21,Grand Theft in the 3rd Degree,2013-03-21,2013-05-15,,0,,,,,Risk of Recidivism,3,Low,2013-01-11,Risk of Violence,5,Medium,2013-01-11,2013-03-21,2013-05-15,0,0,69,1,1 +7116,carl schurman,carl,schurman,2013-08-01,Male,1983-08-31,32,25 - 45,African-American,0,8,0,0,9,-1,2013-07-31 06:29:02,2013-11-20 04:58:00,13010683CF10A,2013-07-31,,1,F,Burglary Dwelling Occupied,1,16014602TC30A,(M2),,2016-03-03,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-08-01,Risk of Violence,8,High,2013-08-01,2013-07-31,2013-11-20,9,111,945,1,0 +7117,charles miller,charles,miller,2013-01-19,Male,1960-08-06,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-18 06:53:17,2013-01-19 01:06:33,13000888CF10A,2013-01-18,,1,F,Driving While License Revoked,1,16007678TC10A,(M2),,2016-02-09,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-19,Risk of Violence,1,Low,2013-01-19,2013-01-18,2013-01-19,0,0,1116,1,0 +7119,jeramiah baxter,jeramiah,baxter,2013-08-15,Male,1992-05-26,23,Less than 25,African-American,0,5,0,0,3,0,2013-08-15 01:53:22,2013-08-21 08:27:53,13015466MM10A,2013-08-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-15,Risk of Violence,6,Medium,2013-08-15,2013-08-15,2013-08-21,3,6,960,0,0 +7120,brian wheeler,brian,wheeler,2013-02-05,Male,1962-02-10,54,Greater than 45,Caucasian,0,4,0,0,2,-29,2013-01-07 01:25:56,2013-02-05 11:05:26,13000241CF10A,,2013-01-07,29,F,arrest case no charge,1,13014961CF10A,(F3),1,2013-10-25,Burglary Conveyance Unoccup,2013-10-26,2013-12-05,,1,15012924CF10A,(F3),2015-10-05,Aggravated Assault W/Dead Weap,Risk of Recidivism,4,Low,2013-02-05,Risk of Violence,2,Low,2013-02-05,2013-10-26,2013-12-05,2,0,262,1,1 +7121,samih debbik,samih,debbik,2013-04-04,Male,1975-06-07,40,25 - 45,Asian,0,1,0,0,0,-1,2013-04-03 04:56:38,2013-04-23 03:20:28,13004784CF10A,2013-04-03,,1,F,Delivery Of Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,2013-04-03,2013-04-23,0,19,1093,0,0 +7123,shane coombs,shane,coombs,2014-01-16,Male,1988-06-03,27,25 - 45,African-American,0,2,0,0,0,-1,2014-01-15 06:44:59,2014-01-16 08:03:23,14000753MM10A,2014-01-15,,1,M,Battery,1,15008080CF10A,(F2),120,2015-04-10,Aggravated Battery / Pregnant,2015-08-08,2015-08-09,,1,15008080CF10A,(F2),2015-04-10,Aggravated Battery / Pregnant,Risk of Recidivism,2,Low,2014-01-16,Risk of Violence,3,Low,2014-01-16,2015-10-02,2015-10-10,0,0,449,1,1 +7124,john masselli,john,masselli,2013-06-28,Male,1979-04-28,36,25 - 45,Caucasian,0,1,0,0,4,85,2013-09-21 12:09:15,2013-10-03 06:25:33,13007937MM10A,2013-02-22,,126,M,Theft,1,13014099CF10A,(F3),0,2013-10-08,Corrupt Public Servant,2013-10-08,2014-05-22,,1,13014099CF10A,(F3),2013-10-08,Battery on Law Enforc Officer,Risk of Recidivism,1,Low,2013-06-28,Risk of Violence,1,Low,2013-06-28,2013-09-21,2013-10-03,4,0,85,0,1 +7125,erika isaac,erika,isaac,2013-03-18,Female,1986-06-03,29,25 - 45,African-American,0,7,0,0,5,0,2013-03-18 02:41:56,2013-03-19 07:45:36,13003935CF10A,2013-03-17,,1,F,Felony Battery (Dom Strang),1,16002633CF10A,(M1),0,2016-03-01,,2016-03-01,2016-03-02,,0,,,,,Risk of Recidivism,7,Medium,2013-03-18,Risk of Violence,3,Low,2013-03-18,2016-03-01,2016-03-02,5,1,1079,1,0 +7126,marilyn menendez,marilyn,menendez,2014-03-30,Female,1971-04-15,45,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-29 09:57:52,2014-03-30 08:36:23,14005437MM10A,2014-03-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-03-29,2014-03-30,0,0,733,0,0 +7127,larry dieuveut,larry,dieuveut,2013-05-21,Male,1991-02-27,25,25 - 45,Other,0,6,0,0,2,-1,2013-05-20 03:24:37,2013-07-23 09:26:20,13009725MM10A,2013-05-20,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-21,Risk of Violence,6,Medium,2013-05-21,2013-05-20,2013-07-23,2,63,1046,0,0 +7130,daniel maiani,daniel,maiani,2013-11-12,Male,1975-12-07,40,25 - 45,Caucasian,0,3,0,0,4,-1,2013-11-11 01:20:20,2013-12-14 05:53:08,13015675CF10A,2013-11-11,,1,F,Tamper With Witness/Victim/CI,1,15002142MM10A,(M1),0,2015-02-21,Battery,2015-02-21,2015-02-22,,1,15002142MM10A,(M1),2015-02-21,Battery,Risk of Recidivism,3,Low,2013-11-12,Risk of Violence,5,Medium,2013-11-12,2015-02-21,2015-02-22,4,32,466,1,1 +7131,joel curtis,joel,curtis,2013-08-25,Male,1977-11-27,38,25 - 45,African-American,0,4,0,0,7,-1,2013-08-24 08:32:05,2013-08-31 06:13:17,13006858CF10A,,2013-08-24,1,F,arrest case no charge,1,14011159CF10A,(F3),81,2014-06-16,Child Abuse,2014-09-05,2014-09-06,,1,14011159CF10A,(F3),2014-06-16,Child Abuse,Risk of Recidivism,4,Low,2013-08-25,Risk of Violence,4,Low,2013-08-25,2013-11-05,2013-11-20,7,6,72,0,1 +7135,robert allegretti,robert,allegretti,2013-07-10,Male,1958-07-07,57,Greater than 45,Caucasian,0,4,0,0,3,-176,2013-01-15 11:20:48,2013-02-15 09:33:26,13000708CF10A,2013-01-15,,176,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-10,Risk of Violence,2,Low,2013-07-10,2013-01-15,2013-02-15,3,0,996,0,0 +7136,lashaver willis,lashaver,willis,2014-06-24,Male,1989-05-11,26,25 - 45,African-American,0,10,0,0,3,0,2014-06-24 01:15:54,2014-07-07 08:48:40,14008695CF10A,2014-06-24,,0,F,Burglary Unoccupied Dwelling,1,14011074CF10A,(F3),0,2014-08-13,Aggravated Assault W/Dead Weap,2014-08-13,2014-09-11,,1,14011074CF10A,(F3),2014-08-13,Aggravated Assault W/Dead Weap,Risk of Recidivism,10,High,2014-06-24,Risk of Violence,8,High,2014-06-24,2014-08-13,2014-09-11,3,13,50,1,1 +7139,iffanise fleurinord,iffanise,fleurinord,2013-06-19,Female,1978-07-15,37,25 - 45,African-American,0,1,0,0,0,-1,2013-06-18 04:05:52,2013-06-19 10:46:07,13008618CF10A,2013-06-18,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-19,Risk of Violence,1,Low,2013-06-19,2013-06-18,2013-06-19,0,0,1017,0,0 +7140,debrcca ridges,debrcca,ridges,2014-09-11,Female,1974-01-20,42,25 - 45,African-American,0,6,0,0,0,,,,,,,,M,,1,15010213MM10A,(M2),0,2015-09-28,Disorderly Intoxication,2015-09-28,2015-09-29,,0,,,,,Risk of Recidivism,6,Medium,2014-09-11,Risk of Violence,2,Low,2014-09-11,2015-09-28,2015-09-29,0,0,382,1,1 +7141,edgar puglia,edgar,puglia,2014-03-19,Male,1975-03-25,41,25 - 45,Caucasian,0,1,0,0,1,-1,2014-03-18 09:24:52,2014-03-19 10:49:59,14003804CF10A,2014-03-18,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-19,Risk of Violence,1,Low,2014-03-19,2014-03-18,2014-03-19,1,0,744,0,0 +7142,ruth pichonot,ruth,pichonot,2013-11-22,Female,1982-05-17,33,25 - 45,Other,0,2,0,0,0,-1,2013-11-21 10:18:43,2013-11-22 03:53:50,13016164CF10A,2013-11-21,,1,F,Poss Unlaw Issue Driver Licenc,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-22,Risk of Violence,1,Low,2013-11-22,2015-01-11,2015-03-07,0,0,415,0,0 +7143,emmet sands,emmet,sands,2013-02-07,Male,1959-03-24,57,Greater than 45,African-American,0,1,0,0,1,-1,2013-02-06 04:49:40,2013-02-07 09:30:56,13001120CF10A,,2013-02-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2013-02-06,2013-02-07,1,0,1149,0,0 +7144,james capers,james,capers,2013-02-09,Male,1982-02-08,34,25 - 45,African-American,0,9,0,0,3,-1,2013-02-08 07:06:22,2013-02-09 08:16:30,10047214TC10A,,2013-02-08,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-09,Risk of Violence,7,Medium,2013-02-09,2016-01-12,2016-01-13,3,0,1067,0,0 +7145,stanley mccray,stanley,mccray,2013-05-25,Male,1986-07-09,29,25 - 45,African-American,0,4,0,0,1,-1,2013-05-24 04:41:00,2013-05-25 07:37:19,13007426CF10A,2013-05-24,,1,F,"Poss3,4 Methylenedioxymethcath",1,14011594MM10A,(M1),,2014-04-27,Battery,,,,1,14011594MM10A,(M1),2014-04-27,Battery,Risk of Recidivism,4,Low,2013-05-25,Risk of Violence,5,Medium,2013-05-25,2013-05-24,2013-05-25,1,0,337,1,1 +7148,james morales,james,morales,2013-01-28,Male,1970-10-16,45,Greater than 45,Hispanic,0,7,0,0,8,0,2013-01-28 01:23:09,2013-01-29 04:24:47,13001375CF10A,2013-01-27,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-28,Risk of Violence,5,Medium,2013-01-28,2013-01-28,2013-01-29,8,1,1159,0,0 +7149,joshua morla,joshua,morla,2013-01-25,Male,1993-06-04,22,Less than 25,Caucasian,0,4,0,0,1,-8,2013-01-17 01:03:08,2013-01-25 10:04:05,13000789CF10A,2013-01-16,,9,F,Aggravated Assault w/Firearm,1,15011185TC40A,(M2),,2015-02-16,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-25,Risk of Violence,5,Medium,2013-01-25,2013-05-31,2013-06-11,1,0,126,0,0 +7150,alicia valentine,alicia,valentine,2013-05-28,Female,1994-01-14,22,Less than 25,African-American,0,8,0,0,0,-1,2013-05-27 06:02:36,2013-05-28 03:12:25,13010166MM10A,2013-05-27,,1,M,Possess Cannabis/20 Grams Or Less,1,14051721TC30A,(M2),83,2014-06-11,Driving License Suspended,2014-09-02,2014-09-03,,0,,,,,Risk of Recidivism,8,High,2013-05-28,Risk of Violence,9,High,2013-05-28,2015-03-30,2015-07-17,0,0,379,1,1 +7151,tracey givens,tracey,givens,2013-11-06,Male,1973-08-28,42,25 - 45,African-American,0,9,1,0,5,186,2014-05-11 08:08:35,2014-05-11 08:14:29,10009916CF10A,,2013-04-18,202,F,arrest case no charge,1,14007731MM10A,(M1),0,2014-05-11,Resist/Obstruct W/O Violence,2014-05-11,2014-05-11,,0,,,,,Risk of Recidivism,9,High,2013-11-06,Risk of Violence,5,Medium,2013-11-06,2014-05-11,2014-05-11,5,0,186,0,1 +7153,jalandon love,jalandon,love,2014-02-15,Male,1994-10-08,21,Less than 25,African-American,0,4,0,0,0,-1,2014-02-14 08:57:29,2014-03-31 09:03:31,14002622MM10A,2014-02-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-15,Risk of Violence,6,Medium,2014-02-15,2014-02-14,2014-03-31,0,44,776,0,0 +7154,james cantwell,james,cantwell,2013-02-03,Male,1959-11-05,56,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-02-02 06:39:31,2013-02-03 07:26:51,13002383MM10A,2013-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-03,Risk of Violence,1,Low,2013-02-03,2013-02-02,2013-02-03,1,0,1153,0,0 +7156,derek joy,derek,joy,2013-01-04,Male,1967-11-17,48,Greater than 45,African-American,0,3,0,0,4,-1,2013-01-03 07:50:37,2013-01-04 06:15:54,13000134CF10A,2013-01-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-01-03,2013-01-04,4,0,1183,0,0 +7157,albeiro munoz,albeiro,munoz,2014-03-09,Male,1988-07-10,27,25 - 45,Hispanic,0,2,0,0,1,-1,2014-03-08 05:10:54,2014-03-09 10:11:30,14004039MM10A,2014-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-09,Risk of Violence,2,Low,2014-03-09,2014-03-08,2014-03-09,1,0,754,0,0 +7158,steven addis,steven,addis,2013-11-20,Male,1988-12-24,27,25 - 45,Caucasian,0,6,0,0,2,-1,2013-11-19 11:49:54,2013-11-26 09:27:46,13016061CF10A,2013-11-19,,1,F,Burglary Dwelling Occupied,1,14010471TC20A,(M2),,2014-02-05,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-20,Risk of Violence,3,Low,2013-11-20,2013-11-19,2013-11-26,2,6,77,1,1 +7159,matthew rodriguez,matthew,rodriguez,2013-09-24,Male,1981-12-28,34,25 - 45,Hispanic,0,2,0,0,1,-1,2013-09-23 08:44:05,2013-09-27 09:07:34,13013387CF10A,2013-09-23,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-24,Risk of Violence,2,Low,2013-09-24,2014-09-17,2014-11-07,1,3,358,0,0 +7160,jamie stewart,jamie,stewart,2014-04-20,Male,1993-02-15,23,Less than 25,African-American,0,6,0,1,5,0,2014-04-20 01:09:41,2014-04-21 03:27:53,14005481CF10A,2014-04-19,,1,F,False Motor Veh Insurance Card,1,14016711MM10A,(M1),0,2014-11-23,Possess Cannabis/20 Grams Or Less,2014-11-23,2014-11-23,,0,,,,,Risk of Recidivism,6,Medium,2014-04-20,Risk of Violence,5,Medium,2014-04-20,2014-11-23,2014-11-23,5,1,217,0,1 +7162,audray george,audray,george,2013-11-30,Male,1968-08-09,47,Greater than 45,African-American,0,5,0,0,3,0,2013-11-30 03:21:40,2013-12-11 09:01:07,13014782CF10A,,2013-11-30,0,F,arrest case no charge,1,14000256CF10A,(F3),,2014-01-06,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-30,Risk of Violence,9,High,2013-11-30,2013-11-30,2013-12-11,3,11,37,1,1 +7163,jason hicks,jason,hicks,2013-01-27,Male,1982-10-04,33,25 - 45,African-American,0,3,1,0,6,-1,2013-01-26 11:35:43,2013-01-28 08:41:00,13003947TC10A,,2013-01-26,1,M,arrest case no charge,1,14009256MM10A,(M1),0,2014-06-11,Battery,2014-06-11,2014-06-13,,1,14009256MM10A,(M1),2014-06-11,Battery,Risk of Recidivism,3,Low,2013-01-27,Risk of Violence,3,Low,2013-01-27,2014-06-11,2014-06-13,6,1,500,1,1 +7164,doriano dalessandro,doriano,dalessandro,2013-03-30,Male,1957-07-26,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-03-29 11:57:12,2013-03-31 03:36:36,04000079CF10A,2004-01-01,,3376,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-29,2013-03-31,1,1,1098,0,0 +7166,brandy jones,brandy,jones,2013-07-22,Female,1982-07-15,33,25 - 45,African-American,0,5,0,0,1,-3,2013-07-19 06:23:11,2013-07-20 01:49:29,13010176CF10A,2013-07-19,,3,F,Fail To Redeliv Hire/Leas Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-22,Risk of Violence,2,Low,2013-07-22,2013-07-19,2013-07-20,1,0,984,0,0 +7167,sandra victorremedor,sandra,victorremedor,2013-01-28,Female,1975-08-16,40,25 - 45,African-American,0,5,0,0,2,-1,2013-01-27 08:40:41,2013-05-08 05:42:39,13001926MM10A,2013-01-27,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-05-08,2,100,1159,0,0 +7170,tyler ashton,tyler,ashton,2013-02-19,Male,1994-03-16,22,Less than 25,Caucasian,0,5,0,0,0,0,2013-02-19 03:51:56,2013-02-20 03:44:09,13002518CF10A,2013-02-19,,0,F,Possession of Cocaine,1,15011112CF10A,(F3),,2015-07-24,False Ownership Info/Pawn Item,,,,1,15010547CF10A,(F3),2015-08-15,Attempted Robbery No Weapon,Risk of Recidivism,5,Medium,2013-02-19,Risk of Violence,6,Medium,2013-02-19,2013-02-19,2013-02-20,0,1,885,1,0 +7171,brian pearson,brian,pearson,2013-03-15,Male,1976-09-18,39,25 - 45,Caucasian,0,3,0,0,2,-1,2013-03-14 05:07:03,2013-03-22 09:45:55,13003382CF10A,,2013-03-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2014-07-01,2014-07-16,2,7,473,0,0 +7173,ketchmarken sainthilaire,ketchmarken,sainthilaire,2014-03-31,Male,1986-01-05,30,25 - 45,Other,0,8,0,0,2,,,,09001262CF10A,2009-01-21,,1895,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-31,Risk of Violence,4,Low,2014-03-31,,,2,0,732,0,0 +7175,annquinette rucker,annquinette,rucker,2013-05-29,Female,1992-05-22,23,Less than 25,African-American,0,8,0,0,3,-37,2013-04-22 09:47:57,2013-05-29 10:09:04,13005732CF10A,2013-04-22,,37,F,Burglary Conveyance Unoccup,1,16002624CF10A,(F3),0,2016-03-01,,2016-03-01,2016-03-02,,0,,,,,Risk of Recidivism,8,High,2013-05-29,Risk of Violence,7,Medium,2013-05-29,2013-12-02,2014-02-14,3,0,187,0,0 +7176,randy pearson,randy,pearson,2013-05-27,Male,1981-02-06,35,25 - 45,Caucasian,0,1,0,1,1,0,2013-05-27 12:28:20,2013-05-27 12:40:41,13007513CF10A,2013-05-26,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-27,2013-05-27,1,0,1040,0,0 +7177,luis caro,luis,caro,2013-05-07,Male,1994-02-10,22,Less than 25,Hispanic,0,2,0,0,0,-1,2013-05-06 07:58:25,2013-05-07 07:41:29,13019327TC10A,2013-05-06,,1,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-07,Risk of Violence,5,Medium,2013-05-07,2013-05-06,2013-05-07,0,0,1060,0,0 +7178,fitzroy ogilvie,fitzroy,ogilvie,2014-02-26,Male,1972-07-23,43,25 - 45,African-American,0,6,0,0,7,-1,2014-02-25 05:39:03,2014-02-27 02:26:46,14002678CF10A,2014-02-25,,1,F,Corrupt Public Servant,1,14038124TC40A,(M2),19,2014-05-25,Driving License Suspended,2014-06-13,2014-07-11,,0,,,,,Risk of Recidivism,6,Medium,2014-02-26,Risk of Violence,7,Medium,2014-02-26,2014-02-25,2014-02-27,7,1,88,1,1 +7180,alex esteves,alex,esteves,2013-08-10,Male,1979-01-12,37,25 - 45,Hispanic,0,4,0,0,4,-1,2013-08-09 11:34:29,2013-08-10 06:58:49,13011212CF10A,2013-08-09,,1,M,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-10,Risk of Violence,3,Low,2013-08-10,2013-08-09,2013-08-10,4,0,965,0,0 +7183,charles dean,charles,dean,2014-02-12,Male,1977-10-10,38,25 - 45,African-American,1,8,0,4,14,,,,07012379CF10A,,2011-07-25,933,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-12,Risk of Violence,4,Low,2014-02-12,,,14,0,779,0,0 +7184,christian stubbs,christian,stubbs,2013-04-26,Male,1990-01-15,26,25 - 45,African-American,0,8,0,0,2,-1,2013-04-25 11:49:50,2013-04-26 07:29:12,13005937CF10A,2013-04-25,,1,F,Possession of Cocaine,1,13028305TC10A,(M2),36,2013-06-01,Driving License Suspended,2013-07-07,2013-07-19,,0,,,,,Risk of Recidivism,8,High,2013-04-26,Risk of Violence,8,High,2013-04-26,2015-04-01,2015-04-02,2,0,36,1,1 +7185,pablo martinez,pablo,martinez,2014-03-30,Male,1956-03-02,60,Greater than 45,Hispanic,0,4,0,0,0,-1,2014-03-29 08:36:56,2014-03-30 07:53:26,14004434CF10A,2014-03-29,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-03-29,2014-03-30,0,0,733,0,0 +7186,lina scalisi,lina,scalisi,2014-01-23,Female,1977-01-28,39,25 - 45,Caucasian,0,4,0,0,1,-1,2014-01-22 01:55:59,2014-01-29 08:33:18,13017791CF10A,,2014-01-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-23,Risk of Violence,4,Low,2014-01-23,2014-01-22,2014-01-29,1,6,799,0,0 +7187,elonzo owens,elonzo,owens,2014-11-23,Male,1979-11-04,36,25 - 45,African-American,0,8,0,1,16,-1,2014-11-22 04:43:40,2014-11-23 07:36:56,14016664MM10A,2014-11-22,,1,M,Battery,1,16005325TC10A,(M1),0,2016-02-17,Opert With Susp DL 2nd Offens,2016-02-17,2016-02-18,,0,,,,,Risk of Recidivism,8,High,2014-11-23,Risk of Violence,3,Low,2014-11-23,2016-02-17,2016-02-18,16,0,451,1,1 +7188,jimmie harrold,jimmie,harrold,2013-05-30,Male,1990-07-11,25,25 - 45,African-American,0,4,0,0,1,,,,12018968MO10A,,2012-12-16,165,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-30,Risk of Violence,3,Low,2013-05-30,2015-06-04,2016-01-24,1,0,735,0,0 +7189,adam obrien,adam,obrien,2013-05-27,Male,1994-11-20,21,Less than 25,Caucasian,0,4,0,0,0,-1,2013-05-26 11:13:06,2013-05-27 09:52:19,13021594TC10A,2013-05-26,,1,M,Fail Register Vehicle,1,14000492CF10A,(M1),0,2014-01-11,Possess Cannabis/20 Grams Or Less,2014-01-11,2014-01-11,,0,,,,,Risk of Recidivism,4,Low,2013-05-27,Risk of Violence,7,Medium,2013-05-27,2014-01-11,2014-01-11,0,0,229,0,1 +7190,kimberly rodriguez,kimberly,rodriguez,2014-12-22,Female,1987-09-24,28,25 - 45,Hispanic,0,3,0,0,1,-1,2014-12-21 01:07:53,2014-12-22 01:48:08,14016879CF10A,2014-12-21,,1,F,Grand Theft in the 3rd Degree,1,15033203TC20A,(M2),,2015-01-12,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,3,Low,2014-12-22,Risk of Violence,3,Low,2014-12-22,2014-12-21,2014-12-22,1,0,21,1,1 +7192,ina youngbell,ina,youngbell,2013-04-19,Female,1945-10-24,70,Greater than 45,Other,0,1,0,0,0,-1,2013-04-18 08:51:08,2013-04-19 08:09:20,13005558CF10A,2013-04-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-04-19,0,0,1078,0,0 +7194,kadeem saddo,kadeem,saddo,2013-02-15,Male,1990-12-24,25,25 - 45,African-American,0,9,0,0,3,,,,12017179TC30A,,2012-05-15,276,M,arrest case no charge,1,14004640MM10A,(M1),,2014-03-14,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,9,High,2013-02-15,Risk of Violence,5,Medium,2013-02-15,,,3,0,392,1,1 +7196,derrick jackson,derrick,jackson,2013-08-13,Male,1962-07-17,53,Greater than 45,African-American,0,2,0,0,6,-1,2013-08-12 09:25:09,2013-08-13 08:16:30,13009117CF10A,,2013-08-12,1,F,arrest case no charge,1,15004500MM40A,(M2),139,2015-10-30,Solicit ProstitutionViolation,2016-03-17,2016-03-18,,0,,,,,Risk of Recidivism,2,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,2016-03-17,2016-03-18,6,0,808,1,0 +7197,edgard rojas,edgard,rojas,2013-03-05,Male,1979-03-21,37,25 - 45,Caucasian,0,6,0,0,0,-5,2013-02-28 08:59:51,2013-03-01 08:05:40,13003067CF10A,2013-02-28,,5,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-05,Risk of Violence,3,Low,2013-03-05,2013-12-18,2014-01-08,0,0,288,0,0 +7198,dvraj chance,dvraj,chance,2014-01-08,Male,1994-09-15,21,Less than 25,African-American,0,6,0,0,1,-1,2014-01-07 03:45:13,2014-01-09 08:24:23,14000293CF10A,2014-01-07,,1,F,Grand Theft in the 3rd Degree,1,14003326MM40A,(M1),116,2014-08-01,Possess Cannabis/20 Grams Or Less,2014-11-25,2014-11-25,,0,,,,,Risk of Recidivism,6,Medium,2014-01-08,Risk of Violence,6,Medium,2014-01-08,2014-01-07,2014-01-09,1,1,205,1,1 +7199,justin bates,justin,bates,2013-10-28,Male,1988-01-07,28,25 - 45,African-American,0,6,0,0,1,-1,2013-10-27 07:38:34,2013-10-28 07:32:59,13015018CF10A,2013-10-27,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-28,Risk of Violence,4,Low,2013-10-28,2013-10-27,2013-10-28,1,0,886,0,0 +7200,johnny borden,johnny,borden,2013-02-20,Male,1994-06-27,21,Less than 25,African-American,0,6,0,0,1,-1,2013-02-19 10:55:43,2013-07-26 05:37:05,13002156CF10A,,2013-02-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-20,Risk of Violence,7,Medium,2013-02-20,2013-02-19,2013-07-26,1,156,1136,0,0 +7202,yarvis mcclemore,yarvis,mcclemore,2013-09-11,Male,1984-01-05,32,25 - 45,African-American,0,10,0,0,2,,,,09013778CF10A,,2010-05-20,1210,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-11,Risk of Violence,10,High,2013-09-11,2007-07-31,2009-02-13,2,0,933,0,0 +7203,paul fraser,paul,fraser,2013-05-01,Male,1959-09-15,56,Greater than 45,African-American,0,1,0,0,0,-1,2013-04-30 10:09:35,2013-05-06 09:12:18,13006284CF10A,2013-04-30,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-04-30,2013-05-06,0,5,1066,0,0 +7204,robert rall,robert,rall,2014-03-09,Male,1985-11-20,30,25 - 45,Caucasian,0,3,0,0,3,-1,2014-03-08 08:19:22,2014-03-09 10:12:02,14004020MM10A,2014-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-09,Risk of Violence,2,Low,2014-03-09,2014-03-08,2014-03-09,3,0,754,0,0 +7205,larry mckinney,larry,mckinney,2014-02-10,Male,1988-07-28,27,25 - 45,Caucasian,0,8,0,0,0,-1,2014-02-09 03:37:43,2014-03-28 10:24:28,14001826CF10A,2014-02-08,,2,F,Grand Theft in the 3rd Degree,1,15003139CF10A,(M1),0,2015-03-08,Unlaw Use False Name/Identity,2015-03-08,2015-09-03,,0,,,,,Risk of Recidivism,8,High,2014-02-10,Risk of Violence,5,Medium,2014-02-10,2014-12-03,2015-01-06,0,46,296,0,1 +7206,victor peralta,victor,peralta,2013-04-25,Male,1978-07-07,37,25 - 45,Hispanic,0,2,0,0,6,-1,2013-04-24 09:52:41,2013-04-25 10:18:27,13005870CF10A,2013-04-24,,1,F,Felony Driving While Lic Suspd,1,13018109MM10A,(M2),0,2013-09-10,Susp Drivers Lic 1st Offense,2013-09-10,2013-09-12,,0,,,,,Risk of Recidivism,2,Low,2013-04-25,Risk of Violence,2,Low,2013-04-25,2013-09-10,2013-09-12,6,0,138,1,1 +7210,ian ford,ian,ford,2013-02-02,Male,1988-08-07,27,25 - 45,African-American,0,8,0,0,1,-1,2013-02-01 03:25:36,2013-02-03 02:50:32,13001621CF10A,2013-02-01,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-02,Risk of Violence,9,High,2013-02-02,2015-12-30,2020-01-01,1,1,1061,0,0 +7211,troy holaway,troy,holaway,2013-10-31,Male,1974-12-03,41,25 - 45,African-American,0,7,0,1,7,0,2013-10-31 01:40:09,2013-11-01 09:24:26,13020561MM10A,2013-10-30,,1,M,Battery,1,14002548MM10A,(M1),0,2014-02-13,Viol Pretrial Release Dom Viol,2014-02-13,2014-02-21,,1,15006834CF10A,(F7),2015-05-25,Burglary Dwelling Assault/Batt,Risk of Recidivism,7,Medium,2013-10-31,Risk of Violence,3,Low,2013-10-31,2014-02-13,2014-02-21,7,1,105,1,1 +7214,shameka prince,shameka,prince,2014-10-10,Female,1986-02-28,30,25 - 45,African-American,0,3,0,0,7,-1,2014-10-09 04:56:58,2014-10-10 02:41:50,14014814MM10A,2014-10-09,,1,M,Battery,1,15006127TC30A,(M2),,2015-01-18,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2014-10-10,Risk of Violence,2,Low,2014-10-10,2014-10-09,2014-10-10,7,0,100,1,1 +7216,raymond mcclame,raymond,mcclame,2014-03-04,Male,1983-11-15,32,25 - 45,African-American,0,8,1,3,7,-1,2014-03-03 10:36:05,2014-03-04 09:24:02,14004519CF10A,2014-03-03,,1,F,Felony Battery w/Prior Convict,1,14014639MM10A,(M1),0,2014-10-05,Resist/Obstruct W/O Violence,2014-10-05,2014-10-06,,1,15012685CF10A,(F3),2015-09-07,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2014-03-04,Risk of Violence,6,Medium,2014-03-04,2014-04-17,2014-04-18,7,0,44,0,1 +7217,phillip marks,phillip,marks,2014-02-26,Male,1989-10-14,26,25 - 45,Caucasian,0,5,0,0,7,-126,2013-10-23 03:44:15,2013-10-24 05:09:27,13013931CF10A,,2013-10-23,126,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-26,Risk of Violence,3,Low,2014-02-26,2013-10-23,2013-10-24,7,0,765,0,0 +7218,james pierrelouis,james,pierrelouis,2013-02-20,Male,1984-09-25,31,25 - 45,African-American,0,4,0,0,0,,,,13003590MM10A,2013-02-20,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-20,Risk of Violence,2,Low,2013-02-20,,,0,0,1136,0,0 +7219,marlon mcdonald,marlon,mcdonald,2013-04-01,Male,1983-10-13,32,25 - 45,African-American,0,4,0,0,3,-1,2013-03-31 05:22:21,2013-04-01 02:19:01,13004632CF10A,2013-03-31,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-01,Risk of Violence,5,Medium,2013-04-01,2015-05-04,2015-06-25,3,0,763,0,0 +7222,christopher dampman,christopher,dampman,2014-10-30,Female,1982-04-04,34,25 - 45,Caucasian,0,5,0,0,5,-22,2014-10-08 07:29:13,2014-10-09 02:32:56,14013587CF10A,2014-10-08,,22,F,Possession Of Heroin,1,15007789CF10A,(F3),0,2015-06-16,Possession Of Heroin,2015-06-16,2015-08-19,,0,,,,,Risk of Recidivism,5,Medium,2014-10-30,Risk of Violence,1,Low,2014-10-30,2015-06-16,2015-08-19,5,0,229,1,1 +7223,howard hendricks,howard,hendricks,2013-05-13,Male,1970-03-10,46,Greater than 45,African-American,0,1,0,0,3,-1,2013-05-12 09:38:38,2013-05-14 08:29:03,13006803CF10A,2013-05-12,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-14,3,1,1054,0,0 +7224,nicholas simmons,nicholas,simmons,2014-08-25,Male,1991-10-10,24,Less than 25,African-American,0,3,0,0,1,-1,2014-08-24 05:19:36,2014-08-25 01:11:27,14011556CF10A,2014-08-24,,1,F,Felony Battery (Dom Strang),1,15046966TC40A,(M2),,2015-08-10,Susp Drivers Lic 1st Offense,,,,1,15013304CF10A,(M1),2015-10-14,Battery,Risk of Recidivism,3,Low,2014-08-25,Risk of Violence,3,Low,2014-08-25,2016-02-15,2016-02-16,1,0,350,1,1 +7225,jeffery reynolds,jeffery,reynolds,2013-01-24,Male,1983-10-16,32,25 - 45,African-American,0,6,0,1,7,-1,2013-01-23 06:52:59,2013-03-15 07:45:42,13001110CF10A,2013-01-23,,1,F,Grand Theft in the 3rd Degree,1,14004594MM10A,(M1),,2014-01-31,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-24,Risk of Violence,7,Medium,2013-01-24,2013-11-02,2013-11-06,7,50,282,0,1 +7226,andre farman,andre,farman,2013-11-02,Male,1972-06-28,43,25 - 45,Caucasian,0,4,0,0,6,-1,2013-11-01 11:32:11,2013-11-11 08:08:19,13015251CF10A,2013-11-01,,1,F,Possession of Cocaine,1,13046641TC10A,(M2),0,2013-11-19,Susp Drivers Lic 1st Offense,2013-11-19,2014-03-06,,0,,,,,Risk of Recidivism,4,Low,2013-11-02,Risk of Violence,1,Low,2013-11-02,2013-11-19,2014-03-06,6,9,17,1,1 +7227,jorge gamboa,jorge,gamboa,2013-11-23,Male,1965-08-20,50,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-11-22 07:53:52,2013-12-04 05:08:47,13016241CF10A,2013-11-22,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-23,Risk of Violence,1,Low,2013-11-23,2013-11-22,2013-12-04,3,11,860,0,0 +7228,kenneth whittaker,kenneth,whittaker,2013-03-10,Male,1985-08-08,30,25 - 45,Caucasian,3,4,0,0,4,0,2013-03-10 04:13:28,2013-06-14 06:31:57,13003526CF10A,2013-03-10,,0,F,Aggrav Battery w/Deadly Weapon,1,14019915TC20A,(M2),,2014-03-15,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-10,Risk of Violence,4,Low,2013-03-10,2013-03-10,2013-06-14,4,96,370,1,1 +7231,wilfred conille,wilfred,conille,2013-05-24,Male,1979-04-05,37,25 - 45,African-American,0,7,0,0,3,-1,2013-05-23 12:12:34,2013-05-24 08:38:00,13009933MM10A,2013-05-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-24,Risk of Violence,3,Low,2013-05-24,2013-05-23,2013-05-24,3,0,1043,0,0 +7233,bobby neil,bobby,neil,2013-08-21,Male,1984-07-17,31,25 - 45,African-American,1,9,1,1,12,82,2013-11-11 11:42:46,2014-08-29 12:36:25,10014332CF10A,,2012-06-14,433,F,arrest case no charge,1,13015667CF10A,(M1),0,2013-11-11,Resist/Obstruct W/O Violence,2013-11-11,2014-08-29,,0,,,,,Risk of Recidivism,9,High,2013-08-21,Risk of Violence,7,Medium,2013-08-21,2013-11-11,2014-08-29,12,0,82,1,1 +7234,leonardo mendez,leonardo,mendez,2014-02-25,Male,1978-06-12,37,25 - 45,Hispanic,0,5,0,0,1,0,2014-02-25 04:14:02,2014-02-27 02:35:00,14002651CF10A,2014-02-25,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-25,2014-02-27,1,2,766,0,0 +7235,joseph pegnatore,joseph,pegnatore,2013-05-15,Male,1994-11-05,21,Less than 25,Caucasian,0,6,0,0,1,-43,2013-04-02 12:51:03,2013-04-29 10:21:07,13004725CF10A,2013-04-02,,43,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-15,Risk of Violence,9,High,2013-05-15,2014-03-07,2014-03-16,1,0,296,0,0 +7236,miguel morales,miguel,morales,2013-08-05,Male,1940-09-29,75,Greater than 45,Hispanic,0,1,0,0,1,-112,2013-04-15 07:19:51,2013-07-26 08:45:38,13005467CF10A,,2013-04-16,111,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2013-04-15,2013-07-26,1,0,970,0,0 +7237,john sarver,john,sarver,2014-01-10,Male,1975-04-28,40,25 - 45,Caucasian,0,4,0,0,3,0,2014-01-10 02:56:51,2014-02-19 11:13:51,14001418MU10A,2014-01-10,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-10,Risk of Violence,3,Low,2014-01-10,2014-01-10,2014-02-19,3,40,812,0,0 +7238,mildred jordan,mildred,jordan,2013-01-18,Female,1962-11-20,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-01-18 04:05:07,2013-01-18 08:05:05,13001298MM10A,2013-01-17,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-18,2013-01-18,0,0,1169,0,0 +7239,chevroy hamil,chevroy,hamil,2013-11-01,Male,1984-10-18,31,25 - 45,Other,0,2,0,0,6,-1,2013-10-31 02:20:46,2013-11-01 08:16:13,13020571MM10A,2013-10-30,,2,M,Battery,1,14042223TC30A,(M2),,2014-05-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-01,Risk of Violence,2,Low,2013-11-01,2013-10-31,2013-11-01,6,0,190,1,1 +7240,robert armstrong,robert,armstrong,2014-03-23,Male,1982-09-21,33,25 - 45,African-American,0,3,0,0,4,-1,2014-03-22 02:06:49,2014-03-23 09:32:47,14005014MM10A,2014-03-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-23,4,0,740,0,0 +7241,steven giuison,steven,giuison,2013-01-17,Male,1993-01-17,23,Less than 25,African-American,1,6,0,0,2,418,2014-03-11 11:30:42,2014-03-12 08:43:26,12000637CF10A,,2013-01-16,1,F,arrest case no charge,1,14010128CF10A,(F3),,2014-07-20,Possess w/I/Utter Forged Bills,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-17,Risk of Violence,5,Medium,2013-01-17,2014-03-11,2014-03-12,2,0,418,0,1 +7242,alexis carty,alexis,carty,2013-10-07,Female,1994-01-16,22,Less than 25,African-American,0,4,0,0,0,-1,2013-10-06 01:06:40,2013-10-07 08:44:19,13018987MM10A,2013-10-05,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-10-06,2013-10-07,0,0,907,0,0 +7243,ulysses brownlee,ulysses,brownlee,2013-08-01,Male,1989-02-01,27,25 - 45,African-American,0,3,0,0,2,-1,2013-07-31 11:28:48,2013-08-01 08:42:54,13014469MM10A,2013-07-31,,1,M,Battery,1,14002167MM40A,(M1),,2014-05-02,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-07-31,2013-08-01,2,0,274,1,1 +7245,shantrill lanier,shantrill,lanier,2013-09-12,Male,1990-10-18,25,25 - 45,African-American,0,8,0,0,5,-1,2013-09-11 10:12:35,2013-09-15 03:38:22,13017315MM10A,2013-09-11,,1,M,Battery,1,13015774CF10A,(F2),0,2013-11-13,Burglary Unoccupied Dwelling,2013-11-13,2013-12-28,,1,15007310MM10A,(M1),2015-04-30,Battery,Risk of Recidivism,8,High,2013-09-12,Risk of Violence,6,Medium,2013-09-12,2013-11-13,2013-12-28,5,3,62,1,1 +7246,christopher vanburen,christopher,vanburen,2013-09-12,Male,1991-09-10,24,Less than 25,Caucasian,0,2,0,0,2,-1,2013-09-11 05:34:21,2013-09-12 08:29:00,13012869CF10A,,2013-09-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-12,Risk of Violence,4,Low,2013-09-12,2013-09-11,2013-09-12,2,0,932,0,0 +7247,anisha oliphant,anisha,oliphant,2013-08-25,Female,1991-08-12,24,Less than 25,African-American,0,5,0,0,2,0,2013-08-25 03:34:47,2013-08-28 05:35:14,13011982CF10A,2013-08-24,,1,F,Burglary Conveyance Occupied,1,14015973CF10A,(F3),1,2014-11-28,Uttering a Forged Instrument,2014-11-29,2014-11-30,,0,,,,,Risk of Recidivism,5,Medium,2013-08-25,Risk of Violence,4,Low,2013-08-25,2013-08-25,2013-08-28,2,3,460,1,1 +7249,windeline rosume,windeline,rosume,2013-02-09,Female,1989-09-11,26,25 - 45,African-American,0,7,0,0,1,0,2013-02-09 04:50:20,2013-02-11 05:17:53,13002015CF10A,,2013-02-09,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2013-02-09,2013-02-11,1,2,1147,0,0 +7250,james woodfork,james,woodfork,2013-02-28,Male,1959-11-11,56,Greater than 45,African-American,0,4,0,0,9,,,,12012959CF10A,,2012-09-03,178,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-28,Risk of Violence,2,Low,2013-02-28,1995-07-20,2000-11-01,9,0,1128,0,0 +7252,hattrina pierrepaul,hattrina,pierrepaul,2014-12-06,Female,1990-03-29,26,25 - 45,African-American,0,10,0,0,3,-1,2014-12-05 03:27:48,2014-12-06 01:41:18,14016196CF10A,2014-12-05,,1,F,Possession of Cocaine,1,15000284CF10A,(F3),,2015-01-06,Poss Pyrrolidinovalerophenone,,,,0,,,,,Risk of Recidivism,10,High,2014-12-06,Risk of Violence,8,High,2014-12-06,2016-03-03,2020-01-01,3,0,31,1,1 +7253,gasner ismael,gasner,ismael,2014-10-01,Male,1989-10-11,26,25 - 45,African-American,0,8,0,1,7,212,2015-05-01 04:37:11,2015-05-04 08:29:30,14002234MM20A,2014-07-29,,64,M,Resist/Obstruct W/O Violence,1,15010641CF10A,(F3),0,2015-08-18,Poss Pyrrolidinovalerophenone,2015-08-18,2015-09-23,,0,,,,,Risk of Recidivism,8,High,2014-10-01,Risk of Violence,7,Medium,2014-10-01,2015-05-01,2015-05-04,7,0,212,0,1 +7254,elijah fortin,elijah,fortin,2013-11-13,Male,1995-09-15,20,Less than 25,Caucasian,0,4,0,0,0,-1,2013-11-12 12:33:38,2013-11-14 02:05:37,13015728CF10A,2013-11-12,,1,F,Possession Burglary Tools,1,14016632CF10A,(F2),0,2014-12-15,"S/M/D/P/W/I Sch 1a,1b,1d,2a,2b",2014-12-15,2014-12-16,,0,,,,,Risk of Recidivism,4,Low,2013-11-13,Risk of Violence,7,Medium,2013-11-13,2014-12-15,2014-12-16,0,1,397,1,1 +7255,akil brown,akil,brown,2013-05-28,Male,1988-11-14,27,25 - 45,African-American,0,6,0,0,4,0,2013-05-28 12:37:53,2013-05-28 08:46:37,13010149MO10A,2013-05-27,,1,M,Disorderly Conduct,1,14002854MM10A,(M1),,2013-12-04,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-28,Risk of Violence,5,Medium,2013-05-28,2013-05-28,2013-05-28,4,0,190,1,1 +7257,tiberio rapisarda,tiberio,rapisarda,2013-12-15,Male,1991-08-21,24,Less than 25,Caucasian,0,3,0,0,1,-1,2013-12-14 08:26:15,2013-12-15 09:06:30,13017282CF10A,2013-12-14,,1,F,Pos Cannabis W/Intent Sel/Del,1,14003842CF10A,(F7),,2014-01-09,Burglary Dwelling Assault/Batt,,,,1,14003842CF10A,(F7),2014-01-09,Burglary Dwelling Assault/Batt,Risk of Recidivism,3,Low,2013-12-15,Risk of Violence,4,Low,2013-12-15,2014-01-12,2014-01-13,1,0,25,1,1 +7258,jared aldoroty,jared,aldoroty,2013-08-30,Male,1989-07-04,26,25 - 45,African-American,0,7,0,0,8,0,2013-08-30 01:33:43,2013-08-31 08:29:22,13012293CF10A,2013-08-30,,0,F,Corrupt Public Servant,1,15008183MM10A,(M2),0,2015-08-02,Prowling/Loitering,2015-08-02,2015-08-02,,0,,,,,Risk of Recidivism,7,Medium,2013-08-30,Risk of Violence,5,Medium,2013-08-30,2015-08-02,2015-08-02,8,1,702,0,1 +7259,courtney harbison,courtney,harbison,2013-11-21,Male,1989-12-07,26,25 - 45,Caucasian,0,5,0,0,5,-1,2013-11-20 12:21:01,2013-11-26 05:30:07,13021823MM10A,2013-11-20,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-21,Risk of Violence,6,Medium,2013-11-21,2013-11-20,2013-11-26,5,5,862,0,0 +7260,felix deleon,felix,deleon,2014-05-05,Male,1961-12-09,54,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-05-04 07:22:47,2014-05-05 07:45:00,14006253CF10A,2014-05-04,,1,F,Agg Battery Grt/Bod/Harm,1,16003246CF10A,(M1),0,2016-03-15,,2016-03-15,2016-03-16,,0,,,,,Risk of Recidivism,1,Low,2014-05-05,Risk of Violence,1,Low,2014-05-05,2016-03-15,2016-03-16,0,0,680,1,1 +7263,terry flowers,terry,flowers,2013-01-18,Male,1950-06-08,65,Greater than 45,Caucasian,0,6,0,0,3,,,,09002234CF10A,,2012-07-17,185,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-18,Risk of Violence,1,Low,2013-01-18,,,3,0,1169,0,0 +7264,ginger powell,ginger,powell,2014-08-15,Female,1982-10-26,33,25 - 45,Caucasian,0,6,0,0,5,-37,2014-07-09 08:04:49,2014-07-29 09:08:23,14010542MM10A,2014-07-09,,37,M,Misuse Of 911 Or E911 System,1,15011884CF10A,(F3),0,2015-09-14,"Poss Mot Veh Mfg ""ID"" Removed",2015-09-14,2015-09-15,,0,,,,,Risk of Recidivism,6,Medium,2014-08-15,Risk of Violence,4,Low,2014-08-15,2015-09-14,2015-09-15,5,0,395,1,1 +7265,jackie kittles,jackie,kittles,2013-09-17,Male,1951-08-31,64,Greater than 45,African-American,0,6,0,0,13,-28,2013-08-20 04:49:05,2013-08-21 07:35:28,13011685CF10A,2013-08-20,,28,M,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-17,Risk of Violence,2,Low,2013-09-17,2013-08-20,2013-08-21,13,0,927,0,0 +7266,andrew semple,andrew,semple,2014-02-06,Male,1991-05-24,24,Less than 25,Caucasian,0,2,0,0,0,-1,2014-02-05 07:22:17,2014-02-06 09:10:58,14001639CF10A,2014-02-05,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-06,Risk of Violence,3,Low,2014-02-06,2014-08-26,2014-09-03,0,0,201,0,0 +7268,antonio amos,antonio,amos,2013-09-27,Male,1981-01-12,35,25 - 45,African-American,0,6,0,0,29,-101,2013-06-18 07:13:32,2013-07-20 02:29:18,13008843CF10A,2013-06-18,,101,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-27,Risk of Violence,8,High,2013-09-27,2016-03-20,2016-03-29,29,0,905,0,0 +7269,sharon ravitz,sharon,ravitz,2013-02-27,Female,1958-12-11,57,Greater than 45,Caucasian,0,1,0,0,0,-5,2013-02-22 09:42:37,2013-02-23 07:56:35,13003737MM10A,2013-02-22,,5,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-27,Risk of Violence,1,Low,2013-02-27,2013-02-22,2013-02-23,0,0,1129,0,0 +7271,lynda luck,lynda,luck,2013-05-27,Female,1969-06-04,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-26 11:07:51,2013-05-28 07:56:52,13010109MM10A,2013-05-26,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-06-10,2013-06-13,0,1,14,0,0 +7272,daniel black,daniel,black,2013-02-17,Male,1959-09-02,56,Greater than 45,African-American,0,5,0,0,16,-1,2013-02-16 11:36:19,2013-02-17 01:39:22,13002391CF10A,2013-02-16,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-17,Risk of Violence,2,Low,2013-02-17,2014-04-24,2014-09-14,16,0,431,0,0 +7275,angie luti,angie,luti,2013-11-08,Female,1977-04-05,39,25 - 45,Caucasian,0,2,0,0,0,-1,2013-11-07 02:45:39,2013-11-07 09:01:07,13021012MM10A,2013-11-07,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2013-11-07,2013-11-07,0,0,875,0,0 +7276,wesley tole,wesley,tole,2014-02-10,Male,1947-05-15,68,Greater than 45,Caucasian,0,1,0,0,4,-1,2014-02-09 03:36:05,2014-02-20 08:48:46,14002261MM10A,2014-01-05,,36,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-09,2014-02-20,4,10,781,0,0 +7278,vinquisha woodard,vinquisha,woodard,2013-09-19,Female,1993-09-01,22,Less than 25,African-American,0,9,0,0,5,-42,2013-08-08 04:05:30,2013-08-27 06:00:53,14003053CF10A,2013-09-04,,15,F,Grand Theft in the 3rd Degree,1,14001687CF10A,(F3),0,2014-02-06,Grand Theft in the 3rd Degree,2014-02-06,2014-02-12,,0,,,,,Risk of Recidivism,9,High,2013-09-19,Risk of Violence,6,Medium,2013-09-19,2014-02-06,2014-02-12,5,0,140,1,1 +7279,jovan larrieux,jovan,larrieux,2013-12-27,Male,1988-01-21,28,25 - 45,African-American,0,3,0,0,1,-1,2013-12-26 05:11:53,2013-12-27 08:03:01,13024021MM10A,2013-12-26,,1,M,Battery,1,15002582CF10A,(F2),155,2014-11-24,Aggravated Battery / Pregnant,2015-04-28,2015-04-29,,1,15002582CF10A,(F2),2014-11-24,Aggravated Battery / Pregnant,Risk of Recidivism,3,Low,2013-12-27,Risk of Violence,3,Low,2013-12-27,2015-10-20,2015-10-27,1,0,332,1,1 +7280,paul davis,paul,davis,2014-01-10,Male,1976-06-02,39,25 - 45,African-American,0,6,0,0,19,-1,2014-01-09 10:18:22,2014-01-10 08:00:54,14000399MM10A,2014-01-09,,1,M,Battery,1,14000543MO10A,(MO3),0,2014-01-11,Resisting W/O Violence,2014-01-11,2014-01-11,,0,,,,,Risk of Recidivism,6,Medium,2014-01-10,Risk of Violence,1,Low,2014-01-10,2014-01-11,2014-01-11,19,0,1,0,1 +7281,donald keltner,donald,keltner,2013-08-28,Male,1977-06-23,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-08-27 12:55:12,2013-08-28 10:01:11,13016410MM10A,2013-08-27,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-28,Risk of Violence,1,Low,2013-08-28,2013-08-27,2013-08-28,0,0,947,0,0 +7283,jeremiah young,jeremiah,young,2014-01-27,Female,1990-07-26,25,25 - 45,African-American,0,10,0,0,3,-23,2014-01-04 03:28:31,2014-01-05 08:57:38,13020661MM10A,,2014-01-04,23,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-27,Risk of Violence,8,High,2014-01-27,2014-01-04,2014-01-05,3,0,795,0,0 +7284,david harris,david,harris,2013-01-04,Male,1991-04-18,25,25 - 45,Caucasian,0,5,0,1,2,0,2013-01-04 12:58:41,2013-01-05 06:15:10,13000140CF10A,2013-01-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-04,Risk of Violence,4,Low,2013-01-04,2013-03-26,2013-03-28,2,1,81,0,0 +7285,daniel laffite,daniel,laffite,2014-01-27,Male,1994-11-05,21,Less than 25,African-American,0,7,0,0,3,-1,2014-01-26 07:08:31,2014-02-05 03:43:05,13018010CF10A,,2014-01-26,1,F,arrest case no charge,1,14003013CF10A,(F3),0,2014-03-03,Grand Theft in the 3rd Degree,2014-03-03,2014-03-25,,0,,,,,Risk of Recidivism,7,Medium,2014-01-27,Risk of Violence,6,Medium,2014-01-27,2014-03-03,2014-03-25,3,9,35,1,1 +7286,michael hernandez,michael,hernandez,2013-03-19,Male,1985-03-07,31,25 - 45,Caucasian,0,5,0,0,2,0,2013-03-19 04:52:54,2013-04-04 08:16:47,13003980CF10A,2013-03-19,,0,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-19,Risk of Violence,5,Medium,2013-03-19,2013-03-19,2013-04-04,2,16,1109,0,0 +7288,laricka forbes,laricka,forbes,2013-01-11,Male,1982-10-05,33,25 - 45,African-American,0,6,0,0,3,-1,2013-01-10 07:42:05,2013-01-17 11:24:24,13000477CF10A,2013-01-10,,1,F,Grand Theft in the 3rd Degree,1,13009563MM10A,(M2),0,2013-05-16,Petit Theft,2013-05-16,2013-05-17,,0,,,,,Risk of Recidivism,6,Medium,2013-01-11,Risk of Violence,2,Low,2013-01-11,2013-05-16,2013-05-17,3,6,125,1,1 +7289,edward harding,edward,harding,2014-12-24,Male,1990-03-11,26,25 - 45,African-American,0,10,0,0,20,0,2014-12-24 05:18:15,2015-02-06 04:02:36,14017022CF10A,2014-12-24,,0,F,Neglect Child / No Bodily Harm,1,15009268TC40A,(M2),,2015-02-10,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,10,High,2014-12-24,Risk of Violence,10,High,2014-12-24,2014-12-24,2015-02-06,20,44,48,1,1 +7291,jarel bynes,jarel,bynes,2013-03-26,Male,1985-01-27,31,25 - 45,African-American,0,7,0,0,2,,,,10020426CF10A,2010-11-18,,859,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,,,2,0,1102,0,0 +7292,kakeen thomas,kakeen,thomas,2013-03-13,Female,1980-07-09,35,25 - 45,African-American,0,8,0,0,13,0,2013-03-13 01:13:54,2013-03-15 10:13:46,13003693CF10A,2013-03-12,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-13,Risk of Violence,5,Medium,2013-03-13,2013-03-13,2013-03-15,13,2,1115,0,0 +7293,vincent gordon,vincent,gordon,2013-12-13,Male,1981-07-24,34,25 - 45,African-American,0,8,6,1,19,-1,2013-12-12 07:17:08,2013-12-13 09:22:13,13014771MM10A,,2013-12-12,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-13,Risk of Violence,4,Low,2013-12-13,2013-12-12,2013-12-13,19,0,840,0,0 +7294,kurt lewis,kurt,lewis,2013-01-29,Male,1974-08-03,41,25 - 45,Other,0,9,0,0,31,0,2013-01-29 02:15:33,2013-09-28 04:10:45,13001412CF10A,2013-01-28,,1,F,Driving While License Revoked,1,13016711CF10A,(M2),0,2013-12-03,Expired DL More Than 6 Months,2013-12-03,2013-12-25,,0,,,,,Risk of Recidivism,9,High,2013-01-29,Risk of Violence,5,Medium,2013-01-29,2013-12-03,2013-12-25,31,242,308,1,1 +7296,robert livingston,robert,livingston,2013-03-05,Male,1958-08-22,57,Greater than 45,Other,0,1,0,0,0,-1,2013-03-04 07:27:27,2013-03-05 02:00:07,13004427MM10A,2013-03-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,1,Low,2013-03-05,2013-03-04,2013-03-05,0,0,1123,0,0 +7298,latonya griffin,latonya,griffin,2013-10-22,Female,1973-11-12,42,25 - 45,African-American,0,2,0,0,1,-1,2013-10-21 06:00:21,2013-10-22 01:59:31,13014714CF10A,2013-10-21,,1,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-10-22,1,0,892,0,0 +7299,lejuan patterson,lejuan,patterson,2013-02-23,Male,1989-05-05,26,25 - 45,African-American,1,10,2,0,9,-1,2013-02-22 09:20:28,2013-02-24 11:40:33,13002727CF10A,2013-02-22,,1,F,Tampering With Physical Evidence,1,13046663TC10A,(M2),,2013-10-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-02-23,Risk of Violence,6,Medium,2013-02-23,2013-02-22,2013-02-24,9,1,248,1,1 +7300,james cerpa,james,cerpa,2014-03-25,Male,1991-10-03,24,Less than 25,Caucasian,0,9,0,0,1,-60,2014-01-24 10:32:35,2014-03-03 01:21:54,13004982CF10A,,2014-01-24,60,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-25,Risk of Violence,8,High,2014-03-25,2014-01-24,2014-03-03,1,0,738,0,0 +7301,rashan greer,rashan,greer,2014-08-14,Male,1980-03-03,36,25 - 45,African-American,0,6,0,0,2,-1,2014-08-13 04:21:41,2014-08-16 03:30:29,14011072CF10A,2014-08-13,,1,F,Burglary Unoccupied Dwelling,1,15000319MM10A,(M2),0,2015-01-09,Petit Theft,2015-01-09,2015-01-15,,0,,,,,Risk of Recidivism,6,Medium,2014-08-14,Risk of Violence,6,Medium,2014-08-14,2015-01-09,2015-01-15,2,2,148,1,1 +7302,telly thomas,telly,thomas,2014-06-07,Male,1975-01-28,41,25 - 45,African-American,1,10,1,0,24,-1,2014-06-06 07:27:50,2014-06-07 10:30:56,14007846CF10A,2014-06-06,,1,F,Possession of Cocaine,1,15005575CF10A,(F7),0,2015-04-28,Burglary Dwelling Assault/Batt,2015-04-28,2015-12-07,,1,15005575CF10A,(F7),2015-04-28,Burglary Dwelling Assault/Batt,Risk of Recidivism,10,High,2014-06-07,Risk of Violence,3,Low,2014-06-07,2014-06-19,2014-06-26,24,0,12,0,1 +7304,hannsataky moriaux,hannsataky,moriaux,2013-08-04,Male,1989-01-31,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-03 04:44:27,2013-08-04 07:42:20,13010872CF10A,2013-08-03,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-04,Risk of Violence,3,Low,2013-08-04,2013-08-03,2013-08-04,0,0,971,0,0 +7305,sandra kersey,sandra,kersey,2013-10-11,Female,1957-12-31,58,Greater than 45,Other,0,1,0,0,0,-1,2013-10-10 02:21:54,2013-10-11 09:09:01,13017794CF10A,2013-10-10,,1,F,Possession of Cocaine,1,14002942MM40A,(M1),123,2014-03-09,Possess Drug Paraphernalia,2014-07-10,2014-07-18,,0,,,,,Risk of Recidivism,1,Low,2013-10-11,Risk of Violence,1,Low,2013-10-11,2013-12-27,2013-12-28,0,0,77,0,1 +7308,raymond thompson,raymond,thompson,2013-09-24,Male,1970-07-18,45,Greater than 45,Caucasian,0,1,0,0,3,-23,2013-09-01 01:07:06,2013-09-01 02:06:35,13012315CF10A,2013-08-31,,24,F,Tampering With Physical Evidence,1,14022064TC20A,(M2),,2014-03-18,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-24,Risk of Violence,1,Low,2013-09-24,2015-04-24,2015-04-25,3,0,175,1,1 +7310,eid ayoub,eid,ayoub,2013-02-02,Male,1981-12-17,34,25 - 45,Caucasian,0,2,0,0,5,0,2013-02-02 03:10:41,2013-02-03 07:07:09,13001667CF10A,2013-02-02,,0,F,Possession of Cocaine,1,15007181CF10A,(F3),0,2015-06-02,Use Scanning Device to Defraud,2015-06-02,2015-11-09,,0,,,,,Risk of Recidivism,2,Low,2013-02-02,Risk of Violence,2,Low,2013-02-02,2013-12-02,2013-12-18,5,1,303,0,0 +7311,pedro bianchini,pedro,bianchini,2013-02-04,Male,1965-07-22,50,Greater than 45,Hispanic,0,1,0,0,0,0,2013-02-04 01:55:09,2013-02-04 10:08:08,13002557MM10A,2013-02-03,,1,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-04,2013-02-04,0,0,1152,0,0 +7312,alan sorto,alan,sorto,2014-04-06,Male,1990-05-02,25,25 - 45,Caucasian,0,8,1,0,6,0,2014-04-06 02:30:39,2014-04-06 07:45:48,14004746CF10A,2014-04-05,,1,F,Crim Use of Personal ID Info,1,16001768MM10A,(M1),,2016-01-11,Battery,,,,1,16001768MM10A,(M1),2016-01-11,Battery,Risk of Recidivism,8,High,2014-04-06,Risk of Violence,6,Medium,2014-04-06,2014-04-06,2014-04-06,6,0,645,1,1 +7315,patrick beauplan,patrick,beauplan,2014-04-15,Male,1991-09-14,24,Less than 25,African-American,0,5,0,0,2,-1,2014-04-14 04:13:50,2014-04-15 08:37:34,14006313MM10A,2014-04-14,,1,M,Battery,1,16001474MM40A,(M2),,2016-03-03,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2014-04-15,Risk of Violence,4,Low,2014-04-15,2014-04-14,2014-04-15,2,0,688,1,1 +7316,mauricio arias,mauricio,arias,2013-01-28,Male,1976-10-24,39,25 - 45,Hispanic,0,3,0,0,2,,,,12018690MM10A,2012-09-08,,142,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,,,2,0,1159,0,0 +7317,kenata williams,kenata,williams,2013-01-03,Male,1988-07-25,27,25 - 45,African-American,0,7,0,0,2,-1,2013-01-02 07:07:44,2013-03-26 10:38:08,11019434CF10A,,2012-07-18,169,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-03,Risk of Violence,6,Medium,2013-01-03,2015-05-27,2015-11-01,2,82,874,0,0 +7318,jamesley charles,jamesley,charles,2013-05-23,Male,1991-02-06,25,25 - 45,African-American,0,3,0,0,3,,,,12015700CF10A,,2012-11-28,176,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-23,Risk of Violence,3,Low,2013-05-23,,,3,0,1044,0,0 +7319,robert reynolds,robert,reynolds,2013-02-07,Male,1986-03-01,30,25 - 45,Caucasian,0,4,0,1,2,0,2013-02-07 04:01:00,2013-02-07 07:28:31,13002762MM10A,2013-02-07,,0,M,Driving Under The Influence,1,14003723CF10A,(F3),0,2014-01-29,Resist Officer w/Violence,2014-01-29,2014-01-29,,0,,,,,Risk of Recidivism,4,Low,2013-02-07,Risk of Violence,4,Low,2013-02-07,2014-01-29,2014-01-29,2,0,356,0,1 +7320,oscar valdivia,oscar,valdivia,2013-05-08,Male,1994-03-28,22,Less than 25,Caucasian,0,8,2,0,3,-1,2013-05-07 03:33:08,2013-05-08 10:44:31,13006527CF10A,2013-05-07,,1,F,Possession of Cannabis,1,14000248MM40A,(M1),196,2013-12-22,Possess Cannabis/20 Grams Or Less,2014-07-06,2014-07-07,,0,,,,,Risk of Recidivism,8,High,2013-05-08,Risk of Violence,6,Medium,2013-05-08,2015-05-12,2015-10-15,3,0,228,1,1 +7321,carlo johnson,carlo,johnson,2013-01-31,Male,1988-12-02,27,25 - 45,African-American,0,5,0,0,0,-1,2013-01-30 08:22:40,2013-01-31 07:32:24,13001518CF10A,2013-01-30,,1,F,Uttering Forged Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-31,Risk of Violence,6,Medium,2013-01-31,2014-05-31,2014-06-05,0,0,485,0,0 +7322,kevin bailey,kevin,bailey,2014-11-23,Male,1995-12-04,20,Less than 25,Other,0,3,0,0,0,-1,2014-11-22 06:43:48,2014-11-23 12:40:08,14015732CF10A,2014-11-22,,1,F,Uttering a Forged Instrument,1,15000184MM30A,(M1),,2015-01-15,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2014-11-23,Risk of Violence,5,Medium,2014-11-23,2016-03-12,2016-03-13,0,0,53,1,1 +7323,warrick haggins,warrick,haggins,2014-10-22,Male,1974-07-22,41,25 - 45,African-American,0,5,0,0,19,29,2014-11-20 01:09:11,2015-01-07 11:12:58,14001216CF10A,2014-01-28,,267,F,Del Cannabis At/Near Park,1,15008449CF10A,(M1),1,2015-06-26,Trespass Struct/Convey Occupy,2015-06-27,2015-07-27,,0,,,,,Risk of Recidivism,5,Medium,2014-10-22,Risk of Violence,9,High,2014-10-22,2014-11-20,2015-01-07,19,0,29,0,1 +7324,ivan gonzalez,ivan,gonzalez,2013-01-19,Male,1985-10-07,30,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-18 08:26:44,2013-01-19 01:18:54,13000868CF10A,2013-01-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-19,Risk of Violence,2,Low,2013-01-19,2013-01-18,2013-01-19,0,0,1168,0,0 +7326,joshua oliver,joshua,oliver,2013-02-02,Male,1992-03-04,24,Less than 25,African-American,0,8,0,0,3,-1,2013-02-01 11:43:49,2013-04-18 07:00:00,13001604CF10A,2013-02-01,,1,F,Pos Cannabis W/Intent Sel/Del,1,16000485MM30A,(M1),,2016-03-16,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-02-02,Risk of Violence,7,Medium,2013-02-02,2014-04-23,2014-05-06,3,75,445,0,0 +7327,carlos walker,carlos,walker,2013-05-12,Male,1977-03-18,39,25 - 45,African-American,0,1,0,0,0,-1,2013-05-11 03:06:34,2013-05-12 07:30:59,13009117MM10A,2013-05-11,,1,M,Assault,1,15015990CF10A,(F3),,2015-12-14,Aggravated Assault W/Dead Weap,,,,1,15015990CF10A,(F3),2015-12-14,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2013-05-12,Risk of Violence,1,Low,2013-05-12,2015-12-15,2015-12-16,0,0,946,1,0 +7328,lamar mccullough,lamar,mccullough,2013-05-25,Male,1984-04-18,32,25 - 45,African-American,0,6,0,0,6,55,2013-07-19 11:55:28,2013-08-23 04:43:22,12008652CF10A,2012-06-12,,347,F,Possession of Cannabis,1,13016062MM10A,(M1),0,2013-07-19,Resist/Obstruct W/O Violence,2013-07-19,2013-08-23,,1,13010150CF10A,(F1),2013-07-19,Burglary With Assault/battery,Risk of Recidivism,6,Medium,2013-05-25,Risk of Violence,4,Low,2013-05-25,2013-07-19,2013-08-23,6,0,55,1,1 +7330,tinikka humphrey,tinikka,humphrey,2013-08-23,Female,1983-10-05,32,25 - 45,African-American,0,2,0,0,3,-1,2013-08-22 07:27:11,2013-08-23 07:18:39,13011802CF10A,2013-08-22,,1,F,Retail Theft $300 2nd Offense,1,13015212CF10A,(F3),0,2013-10-31,Uttering a Forged Instrument,2013-10-31,2013-11-01,,0,,,,,Risk of Recidivism,2,Low,2013-08-23,Risk of Violence,2,Low,2013-08-23,2013-10-31,2013-11-01,3,0,69,1,1 +7331,erika kennedy,erika,kennedy,2014-10-31,Female,1987-01-14,29,25 - 45,Caucasian,0,6,0,0,0,-1,2014-10-30 06:09:13,2015-10-08 06:13:26,14014611CF10A,2014-10-30,,1,F,Grand Theft in the 3rd Degree,1,15010429CF10A,(F3),,2015-08-10,Crim Use of Personal ID Info,,,,0,,,,,Risk of Recidivism,6,Medium,2014-10-31,Risk of Violence,4,Low,2014-10-31,2014-10-30,2015-10-08,0,0,283,1,1 +7332,shahzad qazi,shahzad,qazi,2014-11-11,Male,1978-11-03,37,25 - 45,Other,0,1,0,0,0,-1,2014-11-10 09:56:40,2014-11-11 01:30:08,14015082CF10A,2014-11-10,,1,F,Tampering With Physical Evidence,1,15011896MM10A,(M1),0,2015-11-14,Resist/Obstruct W/O Violence,2015-11-14,2015-11-15,,0,,,,,Risk of Recidivism,1,Low,2014-11-11,Risk of Violence,1,Low,2014-11-11,2015-11-14,2015-11-15,0,0,368,1,1 +7334,antonio philmore,antonio,philmore,2013-03-01,Male,1989-12-15,26,25 - 45,African-American,0,10,1,0,24,0,2013-03-01 01:25:58,2013-03-01 08:28:35,13003052CF10A,2013-02-28,,1,F,Driving While License Revoked,1,14007346CF10A,(F3),0,2014-05-27,Driving While License Revoked,2014-05-27,2014-05-28,,1,15003134CF10A,(F3),2015-03-07,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2013-03-01,Risk of Violence,7,Medium,2013-03-01,2013-10-10,2013-10-16,24,0,223,0,1 +7335,joshua newkirk,joshua,newkirk,2014-06-18,Male,1992-03-23,24,Less than 25,African-American,0,6,0,0,2,0,2014-06-18 03:48:54,2014-06-19 04:05:00,14008420CF10A,2014-06-18,,0,F,Felony Battery w/Prior Convict,1,15001163MM40A,(M1),,2015-03-06,Trespass Other Struct/Conve,,,,0,,,,,Risk of Recidivism,6,Medium,2014-06-18,Risk of Violence,5,Medium,2014-06-18,2014-06-18,2014-06-19,2,1,261,1,1 +7337,kenauld chevelon,kenauld,chevelon,2013-02-02,Male,1985-11-13,30,25 - 45,Other,0,1,0,0,2,-1,2013-02-01 07:57:47,2013-02-02 08:53:50,13001613CF10A,,2013-02-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-02,Risk of Violence,2,Low,2013-02-02,2013-02-01,2013-02-02,2,0,1154,0,0 +7338,kerome paisley,kerome,paisley,2013-12-05,Male,1995-07-05,20,Less than 25,African-American,1,10,1,1,4,14,2013-12-19 04:03:39,2014-12-30 06:19:19,13010552CF10A,2013-07-23,,135,F,Grand Theft in the 3rd Degree,1,13017503CF10A,(F2),1,2013-12-18,Grand Theft of the 2nd Degree,2013-12-19,2014-12-30,,1,13017503CF10A,(F2),2013-12-18,Agg Assault Law Enforc Officer,Risk of Recidivism,10,High,2013-12-05,Risk of Violence,7,Medium,2013-12-05,2014-12-30,2020-01-01,4,0,13,1,1 +7339,rick dor,rick,dor,2014-08-01,Male,1991-01-27,25,25 - 45,African-American,0,6,0,1,1,-1,2014-07-31 12:34:44,2014-08-01 08:29:48,14011664MM10A,2014-07-31,,1,M,Battery,1,14035649TC10A,(M2),,2014-09-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2014-08-01,Risk of Violence,5,Medium,2014-08-01,2014-07-31,2014-08-01,1,0,39,1,1 +7340,nicole davis,nicole,davis,2014-05-19,Female,1984-05-14,31,25 - 45,Caucasian,0,4,0,0,0,-1,2014-05-18 11:42:21,2014-05-19 01:38:52,14006900CF10A,2014-05-18,,1,F,Grand Theft (Motor Vehicle),1,15005127MM10A,(M1),0,2015-05-07,Possess Drug Paraphernalia,2015-05-07,2015-08-02,,0,,,,,Risk of Recidivism,4,Low,2014-05-19,Risk of Violence,2,Low,2014-05-19,2014-11-29,2014-12-10,0,0,194,0,1 +7341,richard francis,richard,francis,2013-12-21,Male,1991-03-28,25,25 - 45,African-American,0,5,0,0,0,0,2013-12-21 12:29:04,2013-12-21 01:42:50,13023525MM10A,2013-12-20,,1,M,Battery,1,14003050MM10A,(M1),0,2014-02-21,Possess Cannabis/20 Grams Or Less,2014-02-21,2014-02-28,,0,,,,,Risk of Recidivism,5,Medium,2013-12-21,Risk of Violence,5,Medium,2013-12-21,2014-02-21,2014-02-28,0,0,62,1,1 +7342,howard keroes,howard,keroes,2014-02-04,Male,1974-05-07,41,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-03 09:59:21,2014-02-04 12:16:10,14001509CF10A,2014-02-03,,1,F,Grand Theft in the 3rd Degree,1,14003293CF10A,(F3),0,2014-03-08,Grand Theft in the 3rd Degree,2014-03-08,2014-03-08,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-03-08,2014-03-08,0,0,32,0,1 +7343,ryan shields,ryan,shields,2013-03-20,Male,1991-03-27,25,25 - 45,Caucasian,0,3,0,0,0,-1,2013-03-19 04:15:00,2013-03-20 07:31:24,13004001CF10A,2013-03-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-20,Risk of Violence,4,Low,2013-03-20,2016-02-11,2016-04-09,0,0,1058,0,0 +7344,chamoy wright,chamoy,wright,2013-02-11,Male,1990-07-19,25,25 - 45,African-American,0,5,0,0,2,-1,2013-02-10 03:23:16,2013-02-11 07:27:53,13002070CF10A,2013-02-10,,1,F,Crimin Mischief Damage $1000+,1,13009112CF10A,(F2),136,2013-05-17,Shoot/Throw Into Vehicle,2013-09-30,2013-10-01,,1,13009112CF10A,(F2),2013-05-17,Shoot/Throw Into Vehicle,Risk of Recidivism,5,Medium,2013-02-11,Risk of Violence,5,Medium,2013-02-11,2013-09-30,2013-10-01,2,0,95,1,1 +7345,eric mckinney,eric,mckinney,2013-11-01,Male,1994-01-08,22,Less than 25,African-American,0,4,0,0,1,0,2013-11-01 05:37:27,2013-11-01 08:51:34,13015243CF10A,2013-11-01,,0,F,Possession Of Alprazolam,1,14047176TC40A,(M2),,2014-07-05,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-01,Risk of Violence,5,Medium,2013-11-01,2015-07-26,2015-07-27,1,0,246,1,1 +7347,janey martin,janey,martin,2013-08-22,Female,1990-05-03,25,25 - 45,African-American,0,7,0,0,0,-1,2013-08-21 05:03:37,2013-08-26 08:41:40,13011728CF10A,2013-08-21,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-22,Risk of Violence,5,Medium,2013-08-22,2013-08-21,2013-08-26,0,4,953,0,0 +7348,rashidi lee,rashidi,lee,2013-03-28,Male,1977-10-11,38,25 - 45,African-American,0,2,0,0,0,0,2013-03-28 01:18:25,2013-03-29 03:48:52,13005982MM10A,2013-03-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-28,2013-03-29,0,1,1100,0,0 +7351,francisco jimenezpagan,francisco,jimenezpagan,2013-09-22,Male,1976-03-01,40,25 - 45,Hispanic,0,5,0,0,0,0,2013-09-22 03:48:15,2013-11-26 01:12:39,13013360CF10A,2013-09-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-22,Risk of Violence,1,Low,2013-09-22,2013-09-22,2013-11-26,0,65,922,0,0 +7354,debra tripp,debra,tripp,2013-10-30,Female,1967-04-15,49,Greater than 45,Caucasian,0,2,0,0,4,-1,2013-10-29 05:20:32,2013-11-02 02:40:16,13020469MM10A,2013-10-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2013-10-29,2013-11-02,4,3,884,0,0 +7355,melissa becker,melissa,becker,2013-08-05,Female,1980-04-23,35,25 - 45,Caucasian,0,3,0,0,2,-3,2013-08-02 11:15:20,2013-08-04 08:22:38,13014709MM10A,2013-08-02,,3,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2013-09-18,2013-10-01,2,0,44,0,0 +7356,karan raj,karan,raj,2013-09-05,Male,1994-12-26,21,Less than 25,Native American,0,6,0,1,0,-1,2013-09-04 05:23:30,2013-09-05 07:35:31,13016951MM10A,2013-09-04,,1,M,Battery,1,14101313TC30A,(M2),,2014-12-04,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-05,Risk of Violence,7,Medium,2013-09-05,2013-09-04,2013-09-05,0,0,455,1,1 +7358,shanairj mckenziewallace,shanairj,mckenziewallace,2013-12-20,Male,1990-11-11,25,25 - 45,Other,0,4,0,0,0,-1,2013-12-19 11:03:21,2013-12-21 04:28:19,13017513CF10A,2013-12-19,,1,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-20,Risk of Violence,3,Low,2013-12-20,2013-12-19,2013-12-21,0,1,833,0,0 +7359,rafael guerrero,rafael,guerrero,2013-12-25,Male,1994-05-18,21,Less than 25,Caucasian,0,4,0,0,1,-1,2013-12-24 03:45:52,2013-12-25 02:37:17,13017762CF10A,2013-12-24,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-25,Risk of Violence,6,Medium,2013-12-25,2014-10-29,2014-11-17,1,0,308,0,0 +7360,alyza russell,alyza,russell,2013-10-07,Female,1991-04-25,24,Less than 25,Caucasian,0,4,0,0,2,-96,2013-07-03 07:12:06,2013-07-06 02:55:40,13009518CF10A,,2013-07-03,96,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,3,Low,2013-10-07,2013-07-03,2013-07-06,2,0,907,0,0 +7361,oscar martinez,oscar,martinez,2013-04-30,Male,1970-07-28,45,Greater than 45,Hispanic,0,3,0,0,1,,,,09010005CF10A,,2012-03-02,424,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-30,Risk of Violence,3,Low,2013-04-30,,,1,0,1067,0,0 +7362,taveca ward,taveca,ward,2013-09-04,Female,1991-07-09,24,Less than 25,African-American,0,9,0,1,11,-1,2013-09-03 03:06:24,2013-11-19 05:29:57,13016855MM10A,2013-09-03,,1,M,Petit Theft,1,15008001MM10A,(M1),0,2015-07-28,Petit Theft $100- $300,2015-07-28,2015-07-29,,0,,,,,Risk of Recidivism,9,High,2013-09-04,Risk of Violence,8,High,2013-09-04,2015-07-28,2015-07-29,11,76,692,1,1 +7365,shalev roae,shalev,roae,2013-05-22,Male,1987-06-28,28,25 - 45,Caucasian,0,3,0,0,3,-1,2013-05-21 07:48:21,2013-07-11 02:10:57,13007266CF10A,2013-05-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-21,2013-07-11,3,50,1045,0,0 +7368,jaime forte,jaime,forte,2013-01-30,Female,1982-03-04,34,25 - 45,African-American,0,9,0,0,1,148,2013-06-27 04:22:40,2013-07-18 11:55:00,06015054MM10A,2006-08-01,,2374,M,Unlaw Use False Name/Identity,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-30,Risk of Violence,7,Medium,2013-01-30,2013-06-27,2013-07-18,1,0,148,0,0 +7369,deon burks,deon,burks,2013-08-16,Male,1981-12-29,34,25 - 45,African-American,0,6,0,0,4,-1,2013-08-15 09:28:10,2013-08-16 09:06:55,13011474CF10A,2013-08-15,,1,F,Deliver Cannabis,1,14015841TC10A,(M2),,2014-04-16,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-16,Risk of Violence,3,Low,2013-08-16,2013-08-15,2013-08-16,4,0,243,1,1 +7370,coral norfus,coral,norfus,2013-03-24,Male,1958-05-12,57,Greater than 45,African-American,0,7,0,0,8,-1,2013-03-23 07:39:14,2013-03-28 08:55:47,13005693MM10A,2013-03-23,,1,M,Misuse Of 911 Or E911 System,1,15010914CF10A,(F3),0,2015-08-23,Aggravated Assault W/Dead Weap,2015-08-23,2015-09-23,,1,15010914CF10A,(F3),2015-08-23,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2013-03-24,Risk of Violence,5,Medium,2013-03-24,2015-08-23,2015-09-23,8,4,882,1,0 +7373,sammy worthy,sammy,worthy,2013-02-02,Male,1976-04-17,40,25 - 45,African-American,0,9,0,0,15,-1,2013-02-01 05:27:23,2013-04-14 11:31:39,13001606CF10A,2013-02-01,,1,F,Pos Cannabis W/Intent Sel/Del,1,13011940CF10A,(F2),0,2013-08-24,Poss Cocaine/Intent To Del/Sel,2013-08-24,2014-05-29,,1,15008682CF10A,(F2),2015-06-13,Throw Deadly Missile Into Veh,Risk of Recidivism,9,High,2013-02-02,Risk of Violence,7,Medium,2013-02-02,2013-08-24,2014-05-29,15,71,203,1,1 +7375,tarcy burch,tarcy,burch,2014-06-19,Male,1993-10-31,22,Less than 25,African-American,0,4,0,0,2,-1,2014-06-18 03:10:53,2014-06-19 08:48:00,14009562MM10A,2014-06-18,,1,M,Battery,1,14016525CF10A,(F3),0,2014-12-12,Possession of Cannabis,2014-12-12,2014-12-13,,0,,,,,Risk of Recidivism,4,Low,2014-06-19,Risk of Violence,5,Medium,2014-06-19,2014-12-12,2014-12-13,2,0,176,1,1 +7380,emmanuel noreus,emmanuel,noreus,2013-02-17,Male,1978-05-24,37,25 - 45,African-American,0,6,0,0,3,-1,2013-02-16 05:28:51,2013-02-17 04:02:07,11070116TC40A,,2013-02-16,1,M,arrest case no charge,1,14010807TC10A,(M2),0,2014-03-18,Susp Drivers Lic 1st Offense,2014-03-18,2014-03-19,,0,,,,,Risk of Recidivism,6,Medium,2013-02-17,Risk of Violence,5,Medium,2013-02-17,2014-03-18,2014-03-19,3,0,394,1,1 +7381,temisa brown,temisa,brown,2013-11-24,Female,1972-09-19,43,25 - 45,African-American,0,6,0,0,0,0,2013-11-24 12:15:06,2013-11-24 09:16:59,13016296CF10A,2013-11-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-24,Risk of Violence,1,Low,2013-11-24,2014-07-07,2014-09-02,0,0,225,0,0 +7382,andre francis,andre,francis,2013-09-21,Male,1989-05-01,26,25 - 45,African-American,0,7,0,0,5,0,2013-09-21 02:08:01,2013-09-21 08:43:39,13011084CF10A,,2013-09-21,0,F,arrest case no charge,1,14009484CF10A,(M1),1,2014-07-09,Possess Cannabis/20 Grams Or Less,2014-07-10,2014-07-10,,0,,,,,Risk of Recidivism,7,Medium,2013-09-21,Risk of Violence,8,High,2013-09-21,2015-07-11,2015-07-12,5,0,291,1,1 +7383,azli perez,azli,perez,2013-02-26,Male,1991-11-26,24,Less than 25,Caucasian,0,3,0,0,2,-1,2013-02-25 10:40:25,2013-02-26 12:43:06,13002857CF10A,2013-02-25,,1,F,False Motor Veh Insurance Card,1,13007620MM10A,(M1),0,2013-04-19,Resist/Obstruct W/O Violence,2013-04-19,2013-04-20,,0,,,,,Risk of Recidivism,3,Low,2013-02-26,Risk of Violence,5,Medium,2013-02-26,2013-04-19,2013-04-20,2,0,52,1,1 +7384,barry nelson,barry,nelson,2013-08-10,Male,1993-02-17,23,Less than 25,African-American,0,7,0,0,1,,,,11017324CF10A,,2013-08-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-10,Risk of Violence,7,Medium,2013-08-10,,,1,0,965,0,0 +7385,rene chaparteguy,rene,chaparteguy,2014-01-16,Male,1959-10-13,56,Greater than 45,Caucasian,0,1,0,0,1,-2,2014-01-14 10:01:39,2014-01-15 02:03:08,14000625CF10A,2014-01-14,,2,F,Tamper With Witness,1,14012666TC10A,(M2),406,2014-03-08,Expired Tag/ Reg>6 Months 2nd,2015-04-18,2015-04-27,,0,,,,,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2015-10-26,2015-11-10,1,0,51,1,1 +7386,michael coley,michael,coley,2013-02-14,Male,1992-10-03,23,Less than 25,African-American,0,7,0,1,2,-1,2013-02-13 05:03:21,2013-02-15 05:28:34,13002273CF10A,2013-02-13,,1,F,Tampering With Physical Evidence,1,13024813TC10A,(M2),,2013-05-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-14,Risk of Violence,6,Medium,2013-02-14,2013-02-13,2013-02-15,2,1,85,1,1 +7387,braden hampton,braden,hampton,2013-10-23,Male,1972-08-26,43,25 - 45,Caucasian,0,6,0,0,12,-1,2013-10-22 07:27:02,2013-12-13 11:43:06,13014769CF10A,2013-10-22,,1,F,False Ownership Info/Pawn Item,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-23,Risk of Violence,3,Low,2013-10-23,2013-10-22,2013-12-13,12,51,891,0,0 +7388,tulsiram harnarrine,tulsiram,harnarrine,2013-09-12,Male,1983-05-26,32,25 - 45,Asian,0,1,0,0,0,-1,2013-09-11 03:41:17,2013-09-12 08:28:43,13017326MM10A,2013-09-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-12,0,0,932,0,0 +7391,davonte resiles,davonte,resiles,2013-12-31,Male,1994-09-12,21,Less than 25,African-American,0,9,0,0,0,-1,2013-12-30 07:11:21,2014-01-01 02:59:37,13017991CF10A,2013-12-30,,1,F,Poss F/Arm Delinq,1,14012657CF10A,(F6),,2014-09-08,Murder in the First Degree,,,,1,14012657CF10A,(F6),2014-09-08,Murder in the First Degree,Risk of Recidivism,9,High,2013-12-31,Risk of Violence,9,High,2013-12-31,2013-12-30,2014-01-01,0,1,251,1,1 +7392,darren bryant,darren,bryant,2013-09-09,Male,1965-04-16,51,Greater than 45,African-American,0,3,0,0,2,-1,2013-09-08 09:34:56,2013-10-03 08:51:19,13014849CF10A,2013-09-08,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-12-04,2013-12-13,2,24,86,0,0 +7393,rasheem chamberlain,rasheem,chamberlain,2014-03-27,Male,1996-03-18,20,Less than 25,African-American,0,10,0,0,0,-1,2014-03-26 09:51:33,2014-04-07 08:56:16,14004306CF10A,2014-03-26,,1,M,Operating W/O Valid License,1,15001908MM10A,(M2),,2014-12-26,Criminal Mischief Damage <$200,,,,1,15001908MM10A,(M1),2014-12-26,Battery,Risk of Recidivism,10,High,2014-03-27,Risk of Violence,10,High,2014-03-27,2014-03-26,2014-04-07,0,11,274,1,1 +7394,jorge insua,jorge,insua,2013-12-04,Male,1976-05-16,39,25 - 45,Caucasian,0,1,0,0,1,-99,2013-08-27 02:30:28,2013-08-28 11:08:52,11016387CF10A,,2013-08-27,99,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-04,Risk of Violence,2,Low,2013-12-04,2013-08-27,2013-08-28,1,0,849,0,0 +7395,dwayne simmons,dwayne,simmons,2014-10-23,Male,1973-10-22,42,25 - 45,African-American,0,10,0,0,17,-1,2014-10-22 11:34:25,2014-11-24 10:35:46,14014217CF10A,2014-10-22,,1,F,Possession of Cocaine,1,15001911MU10A,(M2),0,2014-12-23,Susp Drivers Lic 1st Offense,2014-12-23,2015-01-29,,0,,,,,Risk of Recidivism,10,High,2014-10-23,Risk of Violence,9,High,2014-10-23,2014-12-23,2015-01-29,17,32,61,1,1 +7396,jose figueroa,jose,figueroa,2014-03-05,Male,1957-11-19,58,Greater than 45,Hispanic,0,1,0,0,1,-2,2014-03-03 02:58:09,2014-03-05 04:31:06,14003646MM10A,2014-03-03,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-05,Risk of Violence,1,Low,2014-03-05,2014-03-03,2014-03-05,1,0,758,0,0 +7399,barissa clarke,barissa,clarke,2013-05-14,Female,1987-06-24,28,25 - 45,Other,0,2,0,1,1,0,2013-05-14 02:30:57,2013-05-14 07:42:24,13006906CF10A,2013-05-14,,0,F,Agg Abuse Elderlly/Disabled Adult,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-14,Risk of Violence,2,Low,2013-05-14,2013-05-14,2013-05-14,1,0,1053,0,0 +7400,amari joseph,amari,joseph,2013-08-29,Female,1986-02-09,30,25 - 45,African-American,0,3,0,0,2,-1,2013-08-28 09:16:57,2013-08-29 07:25:16,13016486MM10A,2013-08-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-29,Risk of Violence,2,Low,2013-08-29,2013-08-28,2013-08-29,2,0,946,0,0 +7402,steven winter,steven,winter,2014-02-01,Male,1988-01-11,28,25 - 45,Caucasian,1,6,1,1,4,-1,2014-01-31 08:44:34,2014-02-01 10:36:20,14001414CF10A,2014-01-31,,1,M,Burglary Conveyance Unoccup,1,15015569CF10A,(F3),0,2015-12-03,Possession of Cannabis,2015-12-03,2015-12-04,,0,,,,,Risk of Recidivism,6,Medium,2014-02-01,Risk of Violence,3,Low,2014-02-01,2015-12-03,2015-12-04,4,0,670,1,1 +7403,anthony carroll,anthony,carroll,2013-04-12,Male,1986-09-28,29,25 - 45,African-American,0,6,0,0,6,108,2013-07-29 05:26:21,2013-12-26 06:54:15,13000850CF10A,,2013-04-11,1,F,arrest case no charge,1,15002572MM10A,(M2),0,2015-03-03,Prowling/Loitering,2015-03-03,2015-03-03,,0,,,,,Risk of Recidivism,6,Medium,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-07-29,2013-12-26,6,0,108,0,1 +7405,valerie agostino,valerie,agostino,2013-04-10,Female,1991-11-21,24,Less than 25,Caucasian,0,10,0,0,9,-1,2013-04-09 09:14:34,2013-04-18 06:22:53,13006844MM10A,2013-04-09,,1,M,Possess Drug Paraphernalia,1,13007668MM10A,(M1),0,2013-04-21,Possess Drug Paraphernalia,2013-04-21,2013-07-14,,0,,,,,Risk of Recidivism,10,High,2013-04-10,Risk of Violence,8,High,2013-04-10,2013-04-21,2013-07-14,9,8,11,1,1 +7406,robert singh,robert,singh,2013-03-23,Male,1994-01-19,22,Less than 25,African-American,0,9,0,0,1,0,2013-03-23 01:18:11,2013-04-30 07:29:04,12007973CF10A,,2013-03-23,0,F,arrest case no charge,1,14009004MM10A,(M1),0,2014-06-06,Battery,2014-06-06,2014-07-09,,1,14009004MM10A,(M1),2014-06-06,Battery,Risk of Recidivism,9,High,2013-03-23,Risk of Violence,9,High,2013-03-23,2013-07-24,2013-08-20,1,38,123,0,1 +7409,marie cadet,marie,cadet,2013-10-07,Female,1989-02-09,27,25 - 45,African-American,0,4,0,0,3,-32,2013-09-05 12:47:13,2013-09-05 07:53:58,13012499CF10A,2013-09-04,,33,F,Introduce Contraband Into Jail,1,14018546MU10A,(M1),0,2014-05-16,Driving Under The Influence,2014-05-16,2014-05-18,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,3,Low,2013-10-07,2014-05-16,2014-05-18,3,0,221,1,1 +7410,steven dinapoli,steven,dinapoli,2013-04-03,Male,1965-04-26,50,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-04-02 08:14:47,2013-04-03 08:17:43,13004723CF10A,2013-04-02,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-03,Risk of Violence,2,Low,2013-04-03,2013-04-02,2013-04-03,1,0,1094,0,0 +7411,steven nance,steven,nance,2013-02-28,Male,1986-03-11,30,25 - 45,African-American,0,9,0,0,5,-1,2013-02-27 02:39:10,2013-02-28 11:47:13,13002993CF10A,2013-02-27,,1,M,Aggravated Assault W/dead Weap,1,15000565MM30A,(M1),,2015-03-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-02-28,Risk of Violence,8,High,2013-02-28,2015-02-21,2015-03-09,5,0,723,0,0 +7412,robert rees,robert,rees,2014-10-26,Male,1987-05-17,28,25 - 45,Caucasian,0,2,0,0,0,-1,2014-10-25 08:45:48,2014-10-26 08:24:24,14014389CF10A,2014-10-25,,1,F,Felony Battery (Dom Strang),1,15001706MM30A,(M1),,2015-07-12,Cruelty To Animals,,,,1,15001706MM30A,(M1),2015-07-12,Cruelty To Animals,Risk of Recidivism,2,Low,2014-10-26,Risk of Violence,2,Low,2014-10-26,2014-10-25,2014-10-26,0,0,259,1,1 +7413,sander ledoux,sander,ledoux,2014-10-17,Male,1994-11-18,21,Less than 25,African-American,0,7,0,0,3,-1,2014-10-16 11:07:02,2014-10-17 08:03:11,14013983CF10A,2014-10-16,,1,F,Poss Pyrrolidinovalerophenone,1,15002271CF10A,(M2),0,2015-02-18,Petit Theft,2015-02-18,2015-02-19,,0,,,,,Risk of Recidivism,7,Medium,2014-10-17,Risk of Violence,5,Medium,2014-10-17,2015-02-18,2015-02-19,3,0,124,1,1 +7416,lance gonzalez,lance,gonzalez,2014-02-11,Male,1989-12-19,26,25 - 45,Hispanic,0,1,0,1,2,0,2014-02-11 12:38:04,2014-02-11 08:51:19,14002285MM10A,2014-02-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-11,Risk of Violence,2,Low,2014-02-11,2014-02-11,2014-02-11,2,0,780,0,0 +7417,laurel femia,laurel,femia,2013-01-27,Female,1964-10-01,51,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-01-26 10:20:37,2013-01-28 08:30:53,13001277CF10A,2013-01-26,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-27,Risk of Violence,1,Low,2013-01-27,2013-01-26,2013-01-28,0,1,1160,0,0 +7419,mark clarke,mark,clarke,2013-02-24,Male,1994-08-11,21,Less than 25,African-American,0,7,0,0,1,0,2013-02-24 02:13:05,2013-02-27 08:20:45,13002786CF10A,2013-02-24,,0,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-24,Risk of Violence,7,Medium,2013-02-24,2013-02-24,2013-02-27,1,3,1132,0,0 +7420,joshe bittelman,joshe,bittelman,2013-02-26,Male,1986-04-26,29,25 - 45,Caucasian,0,2,0,0,0,-1,2013-02-25 09:36:50,2013-02-26 12:43:55,13002853CF10A,2013-02-25,,1,F,Grand Theft in the 3rd Degree,1,14004663CF10A,(M1),0,2014-04-03,Resist/Obstruct W/O Violence,2014-04-03,2014-04-17,,1,14004663CF10A,(F2),2014-04-03,Agg Fleeing/Eluding High Speed,Risk of Recidivism,2,Low,2013-02-26,Risk of Violence,3,Low,2013-02-26,2014-04-03,2014-04-17,0,0,401,1,1 +7421,efrain apointe,efrain,apointe,2014-02-19,Male,1972-11-24,43,25 - 45,Caucasian,0,4,0,0,0,-1,2014-02-18 05:27:55,2014-02-19 02:01:25,14002818MM10A,2014-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-19,Risk of Violence,2,Low,2014-02-19,2014-02-18,2014-02-19,0,0,772,0,0 +7422,kadeem banton,kadeem,banton,2013-04-20,Male,1994-03-26,22,Less than 25,African-American,0,4,0,0,1,0,2013-04-20 12:32:51,2013-04-22 09:19:28,13005640CF10A,,2013-04-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2014-02-03,2014-03-11,1,2,289,0,0 +7423,lloyd jackson,lloyd,jackson,2013-02-04,Male,1963-06-30,52,Greater than 45,African-American,0,7,0,0,0,-1,2013-02-03 04:08:22,2013-02-08 01:49:38,13001699CF10A,2013-02-03,,1,F,Possession of Cocaine,1,13004534CF10A,(M2),0,2013-03-29,Operating W/O Valid License,2013-03-29,2013-04-04,,0,,,,,Risk of Recidivism,7,Medium,2013-02-04,Risk of Violence,7,Medium,2013-02-04,2013-03-29,2013-04-04,0,4,53,1,1 +7424,jason banton,jason,banton,2013-04-27,Male,1979-06-29,36,25 - 45,African-American,0,1,0,0,0,0,2013-04-27 04:02:04,2013-04-28 03:43:31,13006069CF10A,2013-04-26,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-27,2013-04-28,0,1,1070,0,0 +7425,octavious harris,octavious,harris,2013-12-12,Male,1991-06-28,24,Less than 25,African-American,0,2,0,0,0,-1,2013-12-11 11:10:23,2013-12-12 08:41:07,13017207CF10A,2013-12-11,,1,F,Obstruct Fire Equipment,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-12,Risk of Violence,3,Low,2013-12-12,2013-12-11,2013-12-12,0,0,841,0,0 +7426,terris williams,terris,williams,2013-09-04,Male,1989-09-17,26,25 - 45,African-American,0,6,1,0,5,-1,2013-09-03 01:43:48,2013-09-04 04:59:20,13012458CF10A,2013-09-03,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-04,Risk of Violence,7,Medium,2013-09-04,2013-09-03,2013-09-04,5,0,940,0,0 +7427,kevin beach,kevin,beach,2013-01-12,Male,1988-12-09,27,25 - 45,African-American,0,8,0,0,8,0,2013-01-12 05:16:10,2013-01-12 08:53:13,13000565CF10A,2013-01-12,,0,M,Criminal Mischief Damage <$200,1,16002719MM10A,(M1),1,2016-03-21,,2016-03-22,2016-03-22,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,7,Medium,2013-01-12,2014-01-28,2014-03-06,8,0,381,0,0 +7429,brandon hayes,brandon,hayes,2014-11-05,Male,1996-10-10,19,Less than 25,Caucasian,0,8,0,0,0,-2,2014-11-03 04:49:08,2014-11-05 11:19:42,14015879MM10A,2014-11-03,,2,M,Battery,1,16000366CF10A,(F3),0,2016-01-09,,2016-01-09,2016-02-05,,0,,,,,Risk of Recidivism,8,High,2014-11-05,Risk of Violence,7,Medium,2014-11-05,2016-01-09,2016-02-05,0,0,430,1,1 +7432,john pitre,john,pitre,2013-04-29,Male,1990-01-19,26,25 - 45,Caucasian,0,5,0,0,2,0,2013-04-29 12:10:42,2013-04-29 06:51:38,13004470CF10A,,2013-04-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-29,Risk of Violence,3,Low,2013-04-29,2013-04-29,2013-04-29,2,0,1068,0,0 +7434,billy aiken,billy,aiken,2013-08-23,Male,1991-09-24,24,Less than 25,African-American,0,4,0,0,1,-163,2013-03-13 10:29:02,2013-08-16 09:09:04,12006423CF10A,,2013-03-13,163,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,5,Medium,2013-08-23,2013-03-13,2013-08-16,1,0,952,0,0 +7435,elizabeth joseph,elizabeth,joseph,2013-04-08,Female,1987-02-20,29,25 - 45,African-American,0,4,0,0,0,-3,2013-04-05 11:21:31,2013-04-06 01:18:28,13004907CF10A,2013-04-05,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-05,2013-04-06,0,0,1089,0,0 +7437,rose perez,rose,perez,2014-08-22,Female,1986-06-11,29,25 - 45,Caucasian,0,10,0,0,20,11,2014-09-02 03:40:59,2014-10-28 09:57:38,14009350CF10A,2014-07-07,,46,F,Driving While License Revoked,1,15001305MM10A,(M2),1,2015-01-31,Petit Theft,2015-02-01,2015-05-01,,0,,,,,Risk of Recidivism,10,High,2014-08-22,Risk of Violence,3,Low,2014-08-22,2014-09-02,2014-10-28,20,0,11,0,1 +7439,kevin haage,kevin,haage,2014-06-20,Male,1977-05-27,38,25 - 45,African-American,0,4,0,0,1,-1,2014-06-19 11:13:05,2014-09-05 01:38:33,14008454CF10A,,2014-06-19,1,F,arrest case no charge,1,16001548CF10A,(F3),,2016-02-04,,,,,0,,,,,Risk of Recidivism,4,Low,2014-06-20,Risk of Violence,1,Low,2014-06-20,2014-06-19,2014-09-05,1,77,594,1,1 +7440,chaddie harrison,chaddie,harrison,2013-08-09,Male,1981-04-25,34,25 - 45,African-American,1,6,0,0,5,0,2013-08-09 01:05:06,2013-08-09 08:05:00,13012757CF10A,2013-08-08,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-09,Risk of Violence,2,Low,2013-08-09,2013-08-09,2013-08-09,5,0,966,0,0 +7441,mikhail watson,mikhail,watson,2013-02-06,Male,1992-06-03,23,Less than 25,Other,0,4,0,0,2,-1,2013-02-05 11:15:36,2013-02-07 09:22:57,13001810CF10A,2013-02-05,,1,F,"Deliver 3,4 Methylenediox",1,15003101CF10A,(F3),0,2015-03-05,Carrying Concealed Firearm,2015-03-05,2015-03-06,,0,,,,,Risk of Recidivism,4,Low,2013-02-06,Risk of Violence,5,Medium,2013-02-06,2013-04-26,2013-04-26,2,1,79,0,0 +7442,jino desarme,jino,desarme,2013-05-10,Male,1990-03-28,26,25 - 45,Other,0,5,0,0,0,-1,2013-05-09 11:25:27,2013-05-10 01:21:51,13006650CF10A,2013-05-09,,1,F,Crim Use of Personal ID Info,1,15000207MM10A,(M2),0,2014-12-10,Open Carrying Of Weapon,2014-12-10,2014-12-11,,0,,,,,Risk of Recidivism,5,Medium,2013-05-10,Risk of Violence,4,Low,2013-05-10,2014-12-10,2014-12-11,0,0,579,1,1 +7443,christine king,christine,king,2013-08-02,Female,1986-11-01,29,25 - 45,African-American,0,2,0,0,1,-1,2013-08-01 06:50:52,2013-08-02 02:08:47,13014515MM10A,2013-08-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-02,Risk of Violence,2,Low,2013-08-02,2013-08-01,2013-08-02,1,0,973,0,0 +7444,daryll burgess,daryll,burgess,2013-02-01,Male,1991-06-22,24,Less than 25,African-American,0,5,0,0,1,0,2013-02-01 06:22:17,2013-02-02 03:17:53,13001635CF10A,2013-02-01,,0,F,Grand Theft (Motor Vehicle),1,15030363TC20A,(M2),,2015-05-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-01,Risk of Violence,5,Medium,2013-02-01,2013-02-01,2013-02-02,1,1,835,1,0 +7445,angel delgado,angel,delgado,2013-08-15,Male,1985-02-14,31,25 - 45,Hispanic,0,8,0,0,1,-1,2013-08-14 06:48:15,2013-08-31 08:40:26,13011415CF10A,2013-08-14,,1,F,Aggravated Battery / Pregnant,1,13020707MM10A,(M1),0,2013-11-03,Viol Pretrial Release Dom Viol,2013-11-03,2013-12-20,,0,,,,,Risk of Recidivism,8,High,2013-08-15,Risk of Violence,8,High,2013-08-15,2013-11-03,2013-12-20,1,16,80,1,1 +7446,paul mcmullin,paul,mcmullin,2014-03-17,Male,1966-01-28,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-16 06:13:41,2014-03-17 02:19:32,14003714CF10A,2014-03-16,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-16,2014-03-17,0,0,746,0,0 +7447,jelissa jolly,jelissa,jolly,2013-03-11,Female,1991-10-08,24,Less than 25,African-American,0,7,0,0,0,-1,2013-03-10 08:01:47,2013-03-11 06:44:38,13004791MM10A,2013-03-10,,1,M,Criminal Mischief>$200<$1000,1,15060273TC30A,(M2),,2015-09-01,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-11,Risk of Violence,5,Medium,2013-03-11,2013-03-10,2013-03-11,0,0,904,1,0 +7448,mary davis,mary,davis,2014-02-17,Female,1984-07-31,31,25 - 45,African-American,0,3,0,0,0,0,2014-02-17 12:34:37,2014-02-17 09:33:27,14002215CF10A,2014-02-16,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-17,Risk of Violence,1,Low,2014-02-17,2014-10-28,2014-10-31,0,0,253,0,0 +7449,rohan willis,rohan,willis,2013-10-23,Male,1979-10-02,36,25 - 45,African-American,0,9,0,0,13,-1,2013-10-22 04:48:53,2013-10-24 05:02:32,13014754CF10A,,2013-10-22,1,F,arrest case no charge,1,14003185MM40A,(M1),,2014-07-11,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-10-23,Risk of Violence,5,Medium,2013-10-23,2013-10-22,2013-10-24,13,1,261,1,1 +7450,anton bryant,anton,bryant,2013-02-25,Male,1983-06-10,32,25 - 45,African-American,0,9,0,0,13,-1,2013-02-24 08:44:12,2013-04-04 04:04:54,13003810MM10A,2013-02-24,,1,M,Possess Cannabis/20 Grams Or Less,1,13018624TC10A,(M2),,2013-04-22,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,9,High,2013-02-25,Risk of Violence,8,High,2013-02-25,2013-02-24,2013-04-04,13,38,56,1,1 +7451,stephen korelisha,stephen,korelisha,2013-02-20,Male,1952-12-08,63,Greater than 45,Caucasian,0,1,0,0,1,,,,12002724MM10A,2012-02-08,,378,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,,,1,0,1136,0,0 +7454,jermaine tramun,jermaine,tramun,2013-09-13,Male,1974-01-03,42,25 - 45,African-American,0,2,0,0,1,-17,2013-08-27 08:39:40,2013-09-13 10:53:21,13016412MM10A,2013-08-27,,17,M,Battery,1,14026951TC30A,(M2),,2014-03-15,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-13,Risk of Violence,2,Low,2013-09-13,2014-12-27,2014-12-28,1,0,183,1,1 +7455,etienne dozil,etienne,dozil,2013-01-09,Male,1993-12-18,22,Less than 25,African-American,0,7,0,0,0,-1,2013-01-08 02:04:01,2013-01-09 12:43:02,13000309CF10A,2013-01-08,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-09,Risk of Violence,7,Medium,2013-01-09,2013-11-25,2013-12-10,0,0,320,0,0 +7457,antwaun irvin,antwaun,irvin,2013-09-26,Male,1990-02-10,26,25 - 45,African-American,0,7,0,0,5,-1,2013-09-25 06:48:06,2013-10-22 10:32:26,13013502CF10A,2013-09-25,,1,F,Burglary Dwelling Occupied,1,14005774MM10A,(M2),0,2014-03-18,Petit Theft,2014-03-18,2014-03-19,,0,,,,,Risk of Recidivism,7,Medium,2013-09-26,Risk of Violence,6,Medium,2013-09-26,2014-03-18,2014-03-19,5,26,173,1,1 +7459,raynard kent,raynard,kent,2013-04-02,Male,1989-10-06,26,25 - 45,African-American,0,8,0,0,10,-1,2013-04-01 07:08:46,2013-04-02 12:50:30,13004669CF10A,2013-04-01,,1,F,Driving While License Revoked,1,13008617CF10A,(M1),0,2013-06-18,Unlaw Malic Strike K9/Horses,2013-06-18,2013-07-18,,0,,,,,Risk of Recidivism,8,High,2013-04-02,Risk of Violence,7,Medium,2013-04-02,2013-06-18,2013-07-18,10,0,77,1,1 +7460,rolando pena,rolando,pena,2014-12-31,Male,1985-06-13,30,25 - 45,Hispanic,0,5,0,0,3,-1,2014-12-30 07:23:28,2015-01-01 12:43:33,14018228MM10A,2014-12-30,,1,M,Battery,1,15006750CF10A,(F3),0,2015-05-23,Grand Theft in the 3rd Degree,2015-05-23,2015-05-24,,0,,,,,Risk of Recidivism,5,Medium,2014-12-31,Risk of Violence,6,Medium,2014-12-31,2015-05-23,2015-05-24,3,1,143,1,1 +7462,john chironno,john,chironno,2014-11-16,Male,1962-11-23,53,Greater than 45,Caucasian,0,2,0,0,3,-2,2014-11-14 10:39:01,2014-11-17 02:31:06,14016373MM10A,2014-11-14,,2,M,Battery,1,15003380MM40A,(M2),,2015-08-22,Fish/Wildlife Viol Landing Requirements,,,,0,,,,,Risk of Recidivism,2,Low,2014-11-16,Risk of Violence,1,Low,2014-11-16,2014-11-14,2014-11-17,3,1,279,1,1 +7464,david cadet,david,cadet,2013-07-18,Male,1993-03-02,23,Less than 25,African-American,0,6,1,2,2,-2,2013-07-16 02:40:27,2013-07-18 11:18:22,13009983CF10A,2013-07-15,,3,F,Attempted Robbery No Weapon,1,14015175MM10A,(M2),0,2014-10-18,Petit Theft,2014-10-18,2015-04-14,,0,,,,,Risk of Recidivism,6,Medium,2013-07-18,Risk of Violence,5,Medium,2013-07-18,2014-04-11,2014-05-17,2,0,267,0,1 +7465,brandon castillo,brandon,castillo,2013-03-06,Male,1993-12-24,22,Less than 25,Caucasian,0,3,0,0,0,-1,2013-03-05 01:56:24,2013-03-06 07:34:50,13003294CF10A,2013-03-05,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-06,Risk of Violence,6,Medium,2013-03-06,2013-03-05,2013-03-06,0,0,1122,0,0 +7466,daniel monteferante,daniel,monteferante,2013-03-23,Male,1988-04-21,27,25 - 45,Caucasian,0,2,0,0,0,0,2013-03-23 07:09:29,2013-03-24 07:23:23,13005721MM10A,2013-03-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-23,Risk of Violence,3,Low,2013-03-23,2013-03-23,2013-03-24,0,1,1105,0,0 +7467,catrice telfort,catrice,telfort,2013-08-30,Female,1994-10-15,21,Less than 25,Other,0,4,0,0,0,-1,2013-08-29 09:09:59,2013-08-30 08:31:19,13016563MM10A,2013-08-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-30,Risk of Violence,5,Medium,2013-08-30,2013-08-29,2013-08-30,0,0,945,0,0 +7468,dominic bernardine,dominic,bernardine,2014-10-31,Male,1973-04-26,42,25 - 45,Caucasian,0,7,0,0,2,-1,2014-10-30 05:20:50,2014-10-31 09:04:44,14014587CF10A,2014-10-30,,1,F,Deliver Cannabis,1,15003919CF10A,(F3),0,2015-03-23,Possession of Cannabis,2015-03-23,2015-03-23,,0,,,,,Risk of Recidivism,7,Medium,2014-10-31,Risk of Violence,8,High,2014-10-31,2015-03-23,2015-03-23,2,0,143,0,1 +7469,dominic morrison,dominic,morrison,2014-08-29,Male,1985-03-03,31,25 - 45,African-American,0,5,0,0,4,0,2014-08-29 01:37:06,2014-09-02 04:07:07,14007316CF10A,,2014-08-29,0,F,arrest case no charge,1,15012162MM10A,(M1),,2015-11-21,Viol Pretrial Release Dom Viol,,,,0,,,,,Risk of Recidivism,5,Medium,2014-08-29,Risk of Violence,4,Low,2014-08-29,2014-08-29,2014-09-02,4,4,449,1,1 +7472,richard sofer,richard,sofer,2013-03-18,Male,1935-12-24,80,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-17 12:58:22,2013-03-18 02:20:57,13005234MM10A,2013-03-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-17,2013-03-18,0,0,1110,0,0 +7475,anthony cardullo,anthony,cardullo,2013-08-28,Male,1957-06-05,58,Greater than 45,Caucasian,0,1,0,0,1,-42,2013-07-17 01:45:43,2013-07-17 07:42:45,13013514MM10A,2013-07-16,,43,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-28,Risk of Violence,1,Low,2013-08-28,2013-07-17,2013-07-17,1,0,947,0,0 +7476,kerry francois,kerry,francois,2013-09-22,Male,1947-12-18,68,Greater than 45,African-American,0,4,0,0,6,-1,2013-09-21 10:10:59,2013-09-24 04:44:52,13018011MM10A,2013-09-21,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-22,Risk of Violence,1,Low,2013-09-22,2015-06-24,2015-06-26,6,2,640,0,0 +7477,roderick thomas,roderick,thomas,2013-02-12,Male,1992-05-28,23,Less than 25,African-American,0,8,0,0,1,0,2013-02-12 02:32:57,2013-02-14 03:14:28,13002206CF10A,2013-02-12,,0,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-12,Risk of Violence,5,Medium,2013-02-12,2013-06-29,2013-08-15,1,2,137,0,0 +7478,michael shipp,michael,shipp,2014-10-08,Male,1980-01-22,36,25 - 45,African-American,0,6,0,0,4,-4,2014-10-04 03:39:44,2014-10-06 06:07:59,14013380CF10A,2014-10-04,,4,F,Poss Pyrrolidinovalerophenone,1,15001370MM10A,(M1),0,2015-01-03,Possess Cannabis/20 Grams Or Less,2015-01-03,2015-02-18,,0,,,,,Risk of Recidivism,6,Medium,2014-10-08,Risk of Violence,2,Low,2014-10-08,2015-01-03,2015-02-18,4,0,87,1,1 +7479,david oconnell,david,oconnell,2013-03-31,Male,1992-01-20,24,Less than 25,Caucasian,0,10,0,0,0,-1,2013-03-30 10:27:46,2013-04-15 09:08:38,13004573CF10A,2013-03-30,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-31,Risk of Violence,7,Medium,2013-03-31,2013-07-11,2013-07-25,0,15,102,0,0 +7480,nathan strickland,nathan,strickland,2014-03-25,Male,1975-02-23,41,25 - 45,Caucasian,0,1,0,0,2,-42,2014-02-11 09:19:52,2014-03-25 10:21:03,14001939CF10A,2014-02-11,,42,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-25,Risk of Violence,1,Low,2014-03-25,2014-02-11,2014-03-25,2,0,738,0,0 +7481,santiago pinzon,santiago,pinzon,2013-04-10,Male,1995-01-17,21,Less than 25,Caucasian,0,8,0,1,0,-1,2013-04-09 07:15:24,2013-04-10 08:13:56,13005098CF10A,2013-04-09,,1,F,Battery on Law Enforc Officer,1,13009545CF10A,(F2),0,2013-07-08,Robbery / No Weapon,2013-07-08,2013-10-05,,1,13009545CF10A,(F2),2013-07-08,Robbery / No Weapon,Risk of Recidivism,8,High,2013-04-10,Risk of Violence,7,Medium,2013-04-10,2013-07-08,2013-10-05,0,0,89,1,1 +7482,tegray whilby,tegray,whilby,2014-04-09,Male,1990-03-12,26,25 - 45,African-American,0,4,0,0,3,0,2014-04-09 03:30:16,2014-04-10 08:41:45,14006052MM10A,2014-04-09,,0,M,Battery,1,14008252CF10A,(F3),0,2014-06-14,Felony Battery (Dom Strang),2014-06-14,2014-06-18,,1,14008252CF10A,(F3),2014-06-14,Felony Battery (Dom Strang),Risk of Recidivism,4,Low,2014-04-09,Risk of Violence,5,Medium,2014-04-09,2014-06-14,2014-06-18,3,1,66,1,1 +7484,crystal davis,crystal,davis,2013-04-21,Female,1985-12-10,30,25 - 45,African-American,0,7,0,0,8,-1,2013-04-20 02:35:10,2013-06-04 07:20:19,13005650CF10A,2013-04-20,,1,F,Uttering Forged Bills,1,13010796CF10A,(F3),0,2013-08-02,Crim Use of Personal ID Info,2013-08-02,2013-09-12,,0,,,,,Risk of Recidivism,7,Medium,2013-04-21,Risk of Violence,5,Medium,2013-04-21,2013-08-02,2013-09-12,8,44,103,1,1 +7485,joel valentin,joel,valentin,2013-12-28,Male,1977-01-15,39,25 - 45,Hispanic,0,1,0,0,0,,,,13023875MM10A,2013-12-27,,1,M,Battery,1,14014711MM10A,(M1),,2014-10-07,Battery,,,,1,14014711MM10A,(M1),2014-10-07,Battery,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,1,Low,2013-12-28,,,0,0,283,1,1 +7487,christopher dalessandro,christopher,dalessandro,2013-09-15,Male,1980-04-02,36,25 - 45,Caucasian,0,5,0,0,1,-1,2013-09-14 07:24:56,2013-09-15 04:24:09,13012993CF10A,2013-09-14,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-15,Risk of Violence,1,Low,2013-09-15,2013-09-14,2013-09-15,1,0,929,0,0 +7488,densmore daniels,densmore,daniels,2013-12-19,Male,1994-10-20,21,Less than 25,African-American,0,8,0,0,0,-1,2013-12-18 01:10:47,2014-01-21 11:37:54,13017467CF10A,2013-12-18,,1,F,Aggravated Battery,1,14015133CF10A,(M1),0,2014-11-11,Aggravated Battery / Pregnant,2014-11-11,2014-11-12,,1,14015133CF10A,(M1),2014-11-11,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2013-12-19,Risk of Violence,7,Medium,2013-12-19,2014-04-23,2014-04-28,0,33,125,0,1 +7490,latoya neal,latoya,neal,2013-02-02,Female,1984-11-03,31,25 - 45,African-American,0,5,0,0,1,-1,2013-02-01 09:12:20,2013-02-02 05:51:04,11017327MM10A,,2013-02-01,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-02,Risk of Violence,3,Low,2013-02-02,2013-02-01,2013-02-02,1,0,1154,0,0 +7493,christine golding,christine,golding,2013-11-15,Female,1995-09-10,20,Less than 25,African-American,0,6,0,0,0,-1,2013-11-14 03:12:45,2013-11-16 08:30:48,13015855CF10A,2013-11-14,,1,F,Burglary Unoccupied Dwelling,1,15008987MM10A,(M1),,2015-08-20,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-15,Risk of Violence,6,Medium,2013-11-15,2013-11-14,2013-11-16,0,1,643,1,1 +7495,michael somers,michael,somers,2013-02-19,Male,1966-10-31,49,Greater than 45,Caucasian,0,8,0,0,4,-8,2013-02-11 01:58:24,2013-02-15 08:53:04,13003037MM10A,2013-02-11,,8,M,Disorderly Conduct,1,16000105CF10A,(F2),,2016-01-03,Arson in the Second Degree,,,,1,16000105CF10A,(F2),2016-01-03,Arson in the Second Degree,Risk of Recidivism,8,High,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-11,2013-02-15,4,0,1048,1,0 +7496,peter reilly,peter,reilly,2013-10-20,Male,1992-02-25,24,Less than 25,Caucasian,0,9,0,0,0,0,2013-10-20 01:51:38,2013-10-22 07:47:53,13014672CF10A,2013-10-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-20,Risk of Violence,7,Medium,2013-10-20,2013-10-20,2013-10-22,0,2,894,0,0 +7497,tommie mims,tommie,mims,2014-02-28,Male,1996-02-15,20,Less than 25,African-American,0,8,0,0,0,-1,2014-02-27 03:24:05,2014-02-28 01:48:55,14002808CF10A,2014-02-27,,1,F,Tampering With Physical Evidence,1,14003102CF10A,(F2),0,2014-03-05,Burglary Unoccupied Dwelling,2014-03-05,2014-08-05,,0,,,,,Risk of Recidivism,8,High,2014-02-28,Risk of Violence,7,Medium,2014-02-28,2014-03-05,2014-08-05,0,0,5,1,1 +7499,siarhei marakin,siarhei,marakin,2013-10-21,Male,1971-08-07,44,25 - 45,Caucasian,0,1,0,0,1,-22,2013-09-29 04:09:48,2013-09-30 12:00:01,13018503MM10A,2013-09-29,,22,M,Battery,1,15032494MU10A,(M2),0,2015-12-01,Reckless Driving,2015-12-01,2015-12-02,,0,,,,,Risk of Recidivism,1,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2015-12-01,2015-12-02,1,0,771,1,0 +7500,shantegra godfrey,shantegra,godfrey,2013-09-04,Female,1990-08-18,25,25 - 45,African-American,0,3,0,0,1,-13,2013-08-22 05:18:15,2013-09-04 05:19:31,13011839CF10A,2013-08-22,,13,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-04,Risk of Violence,4,Low,2013-09-04,2014-04-03,2014-04-08,1,0,211,0,0 +7502,aaron davis,aaron,davis,2014-11-25,Male,1974-07-30,41,25 - 45,Caucasian,0,4,0,0,11,-1,2014-11-24 01:34:13,2015-03-22 03:44:13,14015814CF10A,2014-11-24,,1,F,Felony Petit Theft,1,15003853CF10A,(F3),0,2015-03-22,Felony Petit Theft,2015-03-22,2015-07-18,,0,,,,,Risk of Recidivism,4,Low,2014-11-25,Risk of Violence,2,Low,2014-11-25,2015-03-22,2015-07-18,11,117,117,1,1 +7503,vinessia gray,vinessia,gray,2013-12-06,Male,1990-10-06,25,25 - 45,African-American,0,2,0,0,1,-1,2013-12-05 09:04:52,2013-12-06 08:24:30,13016849CF10A,,2013-12-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-06,Risk of Violence,3,Low,2013-12-06,2014-12-01,2014-12-05,1,0,360,0,0 +7508,meyer renteria,meyer,renteria,2013-10-21,Male,1971-04-30,44,25 - 45,Hispanic,0,1,0,0,0,-1,2013-10-20 01:02:00,2013-10-21 07:40:50,13019856MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2013-10-20,2013-10-21,0,0,893,0,0 +7510,irving emmanuel,irving,emmanuel,2013-05-07,Male,1982-09-18,33,25 - 45,African-American,0,1,0,0,0,-1,2013-05-06 11:44:29,2013-05-07 01:25:39,13006548CF10A,2013-05-06,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2013-05-06,2013-05-07,0,0,1060,0,0 +7511,akeem james,akeem,james,2014-11-09,Male,1996-03-07,20,Less than 25,African-American,0,7,0,0,0,-1,2014-11-08 01:54:07,2014-11-09 06:36:07,14015007CF10A,2014-11-08,,1,F,Aggrav Battery w/Deadly Weapon,1,15000314MM10A,(M1),1,2015-01-08,Viol Pretrial Release Dom Viol,2015-01-09,2015-03-18,,1,15000314MM10A,(M1),2015-01-08,Battery,Risk of Recidivism,7,Medium,2014-11-09,Risk of Violence,7,Medium,2014-11-09,2015-01-09,2015-03-18,0,0,60,1,1 +7513,virgil stephens,virgil,stephens,2014-11-07,Male,1994-08-08,21,Less than 25,African-American,0,6,0,0,1,-1,2014-11-06 08:03:16,2014-11-07 09:08:48,14014927CF10A,2014-11-06,,1,F,Grand Theft in the 3rd Degree,1,15013443MM10A,(M2),,2015-12-30,Prowling/Loitering,,,,0,,,,,Risk of Recidivism,6,Medium,2014-11-07,Risk of Violence,8,High,2014-11-07,2014-11-06,2014-11-07,1,0,418,1,1 +7514,belinda triana,belinda,triana,2013-03-26,Male,1972-01-06,44,25 - 45,Caucasian,0,5,0,0,3,-4,2013-03-22 11:44:12,2013-03-23 07:50:49,13004194CF10A,2013-03-22,,4,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,1,Low,2013-03-26,2014-02-05,2014-03-06,3,0,316,0,0 +7515,christopher hamilton,christopher,hamilton,2014-04-17,Male,1992-05-30,23,Less than 25,African-American,0,9,0,1,1,-10,2014-04-07 11:10:42,2014-04-17 11:03:23,14004202CF10A,,2014-04-07,10,F,arrest case no charge,1,15015904CF10A,(F3),,2015-12-12,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,9,High,2014-04-17,Risk of Violence,8,High,2014-04-17,2014-04-07,2014-04-17,1,0,604,1,1 +7516,jerome roberts,jerome,roberts,2014-03-18,Male,1980-08-22,35,25 - 45,African-American,0,8,0,0,0,-1,2014-03-17 06:02:01,2014-05-13 11:54:15,14004634MM10A,2014-03-17,,1,M,Battery,1,16003295CF10A,(M1),0,2016-03-14,,2016-03-14,2016-03-15,,0,,,,,Risk of Recidivism,8,High,2014-03-18,Risk of Violence,6,Medium,2014-03-18,2016-03-14,2016-03-15,0,56,727,1,1 +7517,denise jackson-minott,denise,jackson-minott,2013-03-23,Female,1974-07-24,41,25 - 45,African-American,0,1,0,0,0,0,2013-03-23 03:53:04,2013-03-24 06:30:15,13005720MM10A,2013-03-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-23,Risk of Violence,1,Low,2013-03-23,2013-03-23,2013-03-24,0,1,1105,0,0 +7519,haywood farrow,haywood,farrow,2013-02-20,Male,1985-11-30,30,25 - 45,African-American,0,5,0,0,1,-1,2013-02-19 11:27:33,2013-03-13 05:49:26,13002530CF10A,2013-02-19,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-20,Risk of Violence,2,Low,2013-02-20,2013-02-19,2013-03-13,1,21,1136,0,0 +7520,rosalia poirier,rosalia,poirier,2013-03-10,Female,1992-07-30,23,Less than 25,Caucasian,0,6,0,0,0,,,,12000487MO30A,,2012-09-20,171,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-10,Risk of Violence,5,Medium,2013-03-10,,,0,0,1118,0,0 +7522,jamie sapp,jamie,sapp,2014-03-07,Male,1980-03-24,36,25 - 45,African-American,0,2,0,0,7,-1,2014-03-06 05:34:44,2014-03-08 03:57:59,14003211CF10A,2014-03-06,,1,F,Possession of Cocaine,1,14034506TC30A,(M2),36,2014-04-01,Unlaw LicTag/Sticker Attach,2014-05-07,2014-05-24,,0,,,,,Risk of Recidivism,2,Low,2014-03-07,Risk of Violence,1,Low,2014-03-07,2014-03-06,2014-03-08,7,1,25,1,1 +7523,cedric fraser,cedric,fraser,2014-10-05,Male,1989-12-08,26,25 - 45,African-American,0,1,0,0,1,-1,2014-10-04 09:26:00,2014-10-05 01:23:01,14013402CF10A,2014-10-04,,1,F,Grand Theft in the 3rd Degree,1,14016939CF10A,(F3),,2014-11-16,Felony Batt(Great Bodily Harm),,,,1,14016939CF10A,(F3),2014-11-16,Felony Batt(Great Bodily Harm),Risk of Recidivism,1,Low,2014-10-05,Risk of Violence,2,Low,2014-10-05,2014-10-04,2014-10-05,1,0,42,1,1 +7524,tatiana quiruz,tatiana,quiruz,2013-09-09,Female,1984-03-09,32,25 - 45,Hispanic,0,2,0,0,0,-3,2013-09-06 01:25:48,2013-09-06 09:12:22,13012552CF10A,2013-09-05,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-09-06,2013-09-06,0,0,935,0,0 +7525,christopher hernandez,christopher,hernandez,2013-07-09,Male,1990-02-16,26,25 - 45,Caucasian,0,4,0,0,2,-60,2013-05-10 03:57:24,2013-05-10 08:47:36,13007633CF10A,2013-05-10,,60,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-09,Risk of Violence,4,Low,2013-07-09,2013-05-10,2013-05-10,2,0,997,0,0 +7526,james mcdowell,james,mcdowell,2013-01-15,Male,1992-11-15,23,Less than 25,Caucasian,0,3,0,0,0,-1,2013-01-14 12:25:28,2013-01-15 01:39:22,13000881MM10A,2013-01-14,,1,M,Resist/Obstruct W/O Violence,1,13007542CF10A,(M1),0,2013-05-27,Resist/Obstruct W/O Violence,2013-05-27,2014-01-25,,0,,,,,Risk of Recidivism,3,Low,2013-01-15,Risk of Violence,5,Medium,2013-01-15,2013-05-27,2014-01-25,0,0,132,1,1 +7530,denise smith,denise,smith,2014-01-02,Female,1972-05-13,43,25 - 45,African-American,0,9,0,1,9,-1,2014-01-01 04:58:59,2014-01-03 04:58:13,14000041MM10A,2014-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-02,Risk of Violence,7,Medium,2014-01-02,2014-01-01,2014-01-03,9,1,820,0,0 +7531,devion ford,devion,ford,2013-02-14,Male,1985-08-29,30,25 - 45,African-American,0,2,0,0,3,0,2013-02-14 10:24:40,2013-02-15 07:40:58,13001602CF10A,,2013-02-14,0,F,arrest case no charge,1,13000677MM20A,(M2),216,2013-03-03,Petit Theft,2013-10-05,2013-10-06,,0,,,,,Risk of Recidivism,2,Low,2013-02-14,Risk of Violence,2,Low,2013-02-14,2013-02-14,2013-02-15,3,1,17,1,1 +7534,daniel chiswell,daniel,chiswell,2013-07-01,Male,1971-08-31,44,25 - 45,Caucasian,0,1,0,0,1,-4,2013-06-27 05:42:08,2013-06-27 07:59:56,13009078CF10A,2013-06-27,,4,F,Possession Of Heroin,1,13001166MM30A,(M1),,2013-08-19,POSSESS FIELD BOX WITH REGISTERED MARK,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-01,Risk of Violence,2,Low,2013-07-01,2014-02-12,2014-02-18,1,0,49,1,1 +7535,ryan milbry,ryan,milbry,2013-01-10,Male,1979-03-08,37,25 - 45,African-American,0,3,0,0,1,,,,10005414CF10A,2010-03-28,,1019,F,Accessory After the Fact,1,13034609TC10A,(M2),,2013-03-22,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,,,1,0,71,1,1 +7536,christian johnson,christian,johnson,2014-01-28,Male,1977-01-12,39,25 - 45,Caucasian,0,1,0,0,1,-4,2014-01-24 01:00:03,2014-01-25 02:10:46,14001053CF10A,2014-01-24,,4,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-28,Risk of Violence,1,Low,2014-01-28,2014-08-27,2014-09-03,1,0,211,0,0 +7537,mauricio buitrago,mauricio,buitrago,2013-08-04,Male,1978-12-23,37,25 - 45,Hispanic,0,1,0,0,2,0,2013-08-04 01:13:42,2013-08-05 02:22:39,13010838CF10A,2013-08-03,,1,F,Aggravated Battery / Pregnant,1,13117897TC30A,(M2),,2013-11-08,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-04,Risk of Violence,1,Low,2013-08-04,2013-08-04,2013-08-05,2,1,96,1,1 +7538,yolanda allen,yolanda,allen,2013-10-30,Female,1966-09-04,49,Greater than 45,African-American,0,1,0,0,1,,,,12006122CF10A,2010-10-02,,1124,F,Unemployment Compensatn Fraud,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,,,1,0,884,0,0 +7540,john edward,john,edward,2013-03-29,Male,1984-07-31,31,25 - 45,African-American,0,8,0,0,6,-1,2013-03-28 07:52:44,2013-03-29 09:23:33,13004493CF10A,2013-03-28,,1,F,Resist Officer w/Violence,1,13006584CF10A,(F3),68,2013-05-08,Driving While License Revoked,2013-07-15,2015-01-13,,0,,,,,Risk of Recidivism,8,High,2013-03-29,Risk of Violence,4,Low,2013-03-29,2015-01-13,2020-01-01,6,0,40,1,1 +7541,larry boyd,larry,boyd,2013-03-02,Male,1953-04-08,63,Greater than 45,Caucasian,0,1,0,0,5,-1,2013-03-01 09:14:42,2013-03-05 10:01:18,13004228MO10A,2013-03-01,,1,M,Prostitution,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-02,Risk of Violence,1,Low,2013-03-02,2013-04-27,2013-05-06,5,3,56,0,0 +7542,kenneth smith,kenneth,smith,2013-12-14,Female,1949-12-01,66,Greater than 45,African-American,0,8,0,0,11,-1,2013-12-13 10:22:46,2013-12-19 05:57:53,13017249CF10A,2013-12-13,,1,F,Poss Wep Conv Felon,1,15005096CF10A,(F3),0,2015-04-18,Grand Theft in the 3rd Degree,2015-04-18,2015-10-13,,0,,,,,Risk of Recidivism,8,High,2013-12-14,Risk of Violence,2,Low,2013-12-14,2015-04-18,2015-10-13,11,5,490,1,1 +7543,joshua diaz,joshua,diaz,2014-06-27,Male,1996-06-23,19,Less than 25,Hispanic,2,8,0,0,2,-2,2014-06-25 03:16:41,2014-06-26 06:32:57,14008005CF10A,,2014-06-25,2,F,arrest case no charge,1,15010277CF10A,(F2),,2015-08-10,Burglary Unoccupied Dwelling,,,,0,,,,,Risk of Recidivism,8,High,2014-06-27,Risk of Violence,9,High,2014-06-27,2014-10-13,2014-11-27,2,0,108,0,1 +7545,yevgeniy kochnev,yevgeniy,kochnev,2013-05-09,Male,1991-08-15,24,Less than 25,Caucasian,0,5,0,2,3,-1,2013-05-08 11:47:13,2013-05-09 07:58:42,13006596CF10A,2013-05-08,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-09,Risk of Violence,4,Low,2013-05-09,2013-05-08,2013-05-09,3,0,1058,0,0 +7546,xavier segura,xavier,segura,2013-02-16,Male,1994-11-06,21,Less than 25,Caucasian,1,10,0,3,2,0,2013-02-16 04:51:02,2013-03-15 07:24:41,13003363MM10A,2013-02-16,,0,M,Battery,1,15014200CF10A,(F3),,2015-11-01,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,10,High,2013-02-16,Risk of Violence,8,High,2013-02-16,2014-06-06,2014-09-28,2,27,475,0,0 +7547,lisa quiggins,lisa,quiggins,2013-05-25,Female,1967-10-12,48,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-05-24 08:33:21,2013-05-26 07:23:38,13007430CF10A,2013-05-24,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-25,Risk of Violence,1,Low,2013-05-25,2014-01-16,2014-03-07,0,1,236,0,0 +7548,jeanpierre germain,jeanpierre,germain,2013-05-03,Male,1978-11-14,37,25 - 45,African-American,0,1,0,0,0,-1,2013-05-02 02:37:37,2013-05-15 05:49:31,13006337CF10A,2013-05-02,,1,F,Poss Similitude of Drivers Lic,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2013-05-02,2013-05-15,0,12,1064,0,0 +7551,chantel falconer,chantel,falconer,2014-03-07,Male,1994-12-21,21,Less than 25,African-American,0,2,0,0,0,-1,2014-03-06 08:42:24,2014-03-07 08:49:19,14003917MM10A,2014-03-06,,1,M,Battery,1,14007126MM10A,(M2),0,2014-04-29,Petit Theft,2014-04-29,2014-04-30,,0,,,,,Risk of Recidivism,2,Low,2014-03-07,Risk of Violence,5,Medium,2014-03-07,2014-04-29,2014-04-30,0,0,53,1,1 +7552,sam tommie,sam,tommie,2014-05-02,Male,1984-08-14,31,25 - 45,Hispanic,0,5,0,0,1,,,,10017288CF10A,,2012-10-30,549,F,arrest case no charge,1,14014014MM10A,(M2),,2014-09-21,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2014-05-02,Risk of Violence,6,Medium,2014-05-02,,,1,0,142,1,1 +7553,mickelia mckenzie,mickelia,mckenzie,2014-02-27,Female,1995-12-04,20,Less than 25,Other,0,5,0,0,0,-1,2014-02-26 02:24:25,2014-02-27 08:10:28,14003381MM10A,2014-02-26,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-27,Risk of Violence,7,Medium,2014-02-27,2014-02-26,2014-02-27,0,0,764,0,0 +7555,randa natour,randa,natour,2013-08-20,Female,1952-02-16,64,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-19 07:58:52,2013-08-20 07:56:24,13015750MM10A,2013-08-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-20,0,0,955,0,0 +7556,tayler reed,tayler,reed,2013-02-11,Male,1993-08-05,22,Less than 25,Caucasian,0,6,0,0,0,0,2013-02-11 12:43:16,2013-02-12 04:33:35,13006142TC10A,2013-02-10,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-11,Risk of Violence,5,Medium,2013-02-11,2013-02-11,2013-02-12,0,1,1145,0,0 +7559,jose matos,jose,matos,2013-01-13,Male,1972-05-26,43,25 - 45,Caucasian,0,3,0,0,8,-1,2013-01-12 12:14:44,2013-01-14 02:47:11,12001565CF10A,,2013-01-12,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-14,8,1,1174,0,0 +7560,john stancil,john,stancil,2013-02-20,Male,1990-12-11,25,25 - 45,Caucasian,0,7,0,0,3,-24,2013-01-27 04:35:25,2013-02-15 10:40:07,11003425CF10A,,2013-01-28,23,F,arrest case no charge,1,13005077CF10A,(M1),,2013-04-09,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-20,Risk of Violence,3,Low,2013-02-20,2013-01-27,2013-02-15,3,0,48,1,1 +7561,bryan holloway,bryan,holloway,2013-05-07,Male,1983-02-03,33,25 - 45,Caucasian,0,9,0,0,10,0,2013-05-07 11:22:11,2013-09-02 05:34:54,13006519CF10A,2013-05-07,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-07,Risk of Violence,8,High,2013-05-07,2013-05-07,2013-09-02,10,118,1060,0,0 +7562,demetrius sweeting,demetrius,sweeting,2013-08-22,Male,1989-04-29,26,25 - 45,African-American,0,6,0,0,1,-1,2013-08-21 04:14:04,2013-08-22 07:41:00,13011736CF10A,2013-08-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2013-08-21,2013-08-22,1,0,953,0,0 +7563,rachel bollman,rachel,bollman,2013-01-22,Female,1982-08-24,33,25 - 45,Caucasian,0,3,0,0,1,-5,2013-01-17 10:44:28,2013-01-18 04:27:34,09006158MM10A,2009-01-25,,1458,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,2,Low,2013-01-22,2013-01-17,2013-01-18,1,0,1165,0,0 +7564,matthew john,matthew,john,2014-02-28,Male,1991-01-06,25,25 - 45,Caucasian,0,3,0,0,3,-58,2014-01-01 12:00:58,2014-02-28 11:19:56,14000058CF10A,2014-01-01,,58,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-28,Risk of Violence,3,Low,2014-02-28,2014-01-01,2014-02-28,3,0,763,0,0 +7567,shannon lewis,shannon,lewis,2013-07-09,Female,1985-12-19,30,25 - 45,African-American,0,6,0,0,3,-51,2013-05-19 08:24:09,2013-05-19 07:30:19,12056716TC10A,2012-11-15,,236,M,Present Proof of Invalid Insur,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-09,Risk of Violence,5,Medium,2013-07-09,2013-05-19,2013-05-19,3,0,997,0,0 +7568,demetri jackson,demetri,jackson,2013-08-15,Female,1995-04-27,20,Less than 25,African-American,0,5,3,0,3,,,,11067733TC20A,2011-10-06,,679,M,Operating W/O Valid License,1,16009692TC30A,(M2),,2016-02-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-15,Risk of Violence,7,Medium,2013-08-15,,,3,0,903,1,0 +7570,sico charles,sico,charles,2013-03-21,Male,1971-04-23,44,25 - 45,African-American,0,1,0,0,0,-1,2013-03-20 01:14:13,2013-03-22 04:13:35,13004019CF10A,2013-03-20,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-03-20,2013-03-22,0,1,1107,0,0 +7571,adrian bowling,adrian,bowling,2014-02-02,Male,1985-04-03,31,25 - 45,African-American,0,2,0,0,0,0,2014-02-02 05:21:54,2014-02-03 01:20:35,14001467CF10A,2014-02-02,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-02,Risk of Violence,2,Low,2014-02-02,2015-04-20,2015-05-20,0,1,442,0,0 +7572,terry mueller,terry,mueller,2013-10-30,Male,1966-01-17,50,Greater than 45,Caucasian,0,6,0,0,9,-1,2013-10-29 07:43:01,2013-10-30 08:06:20,13044394TC10A,2013-10-29,,1,M,Susp Drivers Lic 1st Offense,1,14007285MM10A,(M2),0,2014-04-22,Susp Drivers Lic 1st Offense,2014-04-22,2014-04-24,,0,,,,,Risk of Recidivism,6,Medium,2013-10-30,Risk of Violence,4,Low,2013-10-30,2014-04-22,2014-04-24,9,0,174,1,1 +7573,pete peterman,pete,peterman,2013-01-13,Male,1983-03-04,33,25 - 45,African-American,0,9,2,2,16,-1,2013-01-12 07:10:00,2013-01-18 12:48:33,13000546CF10A,2013-01-12,,1,F,Crimin Mischief Damage $1000+,1,14000529MM10A,(M1),1,2014-01-10,Resist/Obstruct W/O Violence,2014-01-11,2014-01-31,,0,,,,,Risk of Recidivism,9,High,2013-01-13,Risk of Violence,6,Medium,2013-01-13,2013-06-17,2013-06-19,16,5,155,0,1 +7574,geralyn francis,geralyn,francis,2013-02-13,Female,1966-01-06,50,Greater than 45,Caucasian,0,1,0,0,1,,,,11013978MM10A,2011-06-18,,606,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,,,1,0,1143,0,0 +7576,leon robinson,leon,robinson,2013-09-13,Male,1985-01-03,31,25 - 45,African-American,0,10,0,0,1,0,2013-09-13 12:13:35,2013-09-13 09:01:22,13004868CF10A,,2013-09-12,1,F,arrest case no charge,1,14012048TC10A,(M2),,2014-03-22,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,10,High,2013-09-13,Risk of Violence,6,Medium,2013-09-13,2015-12-03,2020-01-01,1,0,190,1,1 +7577,maritza valle,maritza,valle,2013-04-29,Female,1991-03-01,25,25 - 45,Hispanic,0,3,0,0,0,-3,2013-04-26 05:54:05,2013-04-26 08:05:35,13008078MM10A,2013-04-26,,3,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,3,Low,2013-04-29,2013-04-26,2013-04-26,0,0,1068,0,0 +7578,esther pierre,esther,pierre,2014-01-08,Female,1972-05-23,43,25 - 45,African-American,0,2,0,0,2,-17,2013-12-22 11:44:51,2014-01-08 10:45:35,13023584MM10A,2013-12-22,,17,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,1,Low,2014-01-08,2013-12-22,2014-01-08,2,0,814,0,0 +7580,lisa santoro-davis,lisa,santoro-davis,2013-03-04,Female,1965-03-29,51,Greater than 45,Caucasian,0,8,0,0,2,-39,2013-01-24 09:25:10,2013-01-31 08:50:26,12017038CF10A,,2013-01-27,36,F,arrest case no charge,1,14009016CF10A,(F3),,2014-07-01,Possession of Methadone,,,,0,,,,,Risk of Recidivism,8,High,2013-03-04,Risk of Violence,3,Low,2013-03-04,2013-06-21,2013-06-25,2,0,109,0,1 +7581,emile jonassaint,emile,jonassaint,2014-10-19,Male,1988-12-09,27,25 - 45,African-American,0,1,0,0,0,0,2014-10-19 01:08:23,2014-10-19 01:38:27,14014087CF10A,2014-10-18,,1,M,Child Abuse,1,16000664MM40A,(M2),,2016-01-19,Petit Theft,,,,0,,,,,Risk of Recidivism,1,Low,2014-10-19,Risk of Violence,2,Low,2014-10-19,2014-10-19,2014-10-19,0,0,457,1,1 +7585,derrick rowe,derrick,rowe,2013-12-27,Male,1981-08-02,34,25 - 45,Other,0,1,0,0,2,-1,2013-12-26 03:49:10,2013-12-27 09:51:55,03042741TC20A,,2003-06-10,3853,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,1,Low,2013-12-27,2013-12-26,2013-12-27,2,0,826,0,0 +7586,dennis tummings,dennis,tummings,2013-05-13,Male,1971-09-17,44,25 - 45,Other,0,1,0,0,0,-1,2013-05-12 06:53:23,2013-05-17 12:00:04,13006794CF10A,2013-05-12,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-17,0,4,1054,0,0 +7587,renard mccloud,renard,mccloud,2013-04-02,Male,1985-01-30,31,25 - 45,African-American,0,10,0,0,6,29,2013-05-01 08:13:19,2013-05-02 04:15:00,13005342MM10A,2012-11-30,,123,M,Battery,1,13039138TC10A,(M2),51,2013-07-18,Driving License Suspended,2013-09-07,2013-09-08,,0,,,,,Risk of Recidivism,10,High,2013-04-02,Risk of Violence,5,Medium,2013-04-02,2013-05-01,2013-05-02,6,0,29,0,1 +7588,roberto tomlinson,roberto,tomlinson,2013-06-10,Male,1985-05-10,30,25 - 45,Hispanic,0,4,1,0,14,-79,2013-03-23 04:15:49,2013-05-17 07:53:08,13004200CF10A,2013-03-23,,79,F,Battery on Law Enforc Officer,1,14012505CF10A,(M1),0,2014-09-15,Trespass Other Struct/Conve,2014-09-15,2014-12-06,,1,15010553CF10A,(F3),2015-08-15,Aggravated Assault W/Dead Weap,Risk of Recidivism,4,Low,2013-06-10,Risk of Violence,6,Medium,2013-06-10,2014-09-15,2014-12-06,14,0,462,1,1 +7589,jabari wells,jabari,wells,2013-04-23,Male,1989-08-08,26,25 - 45,African-American,0,3,0,0,2,-1,2013-04-22 02:30:22,2013-09-17 05:56:06,13005735CF10A,2013-04-22,,1,F,Grand Theft in the 3rd Degree,1,14005908CF10A,(F3),,2014-04-28,Possession Burglary Tools,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-23,Risk of Violence,4,Low,2013-04-23,2013-04-22,2013-09-17,2,147,370,1,1 +7591,tremaine mckenzie,tremaine,mckenzie,2013-10-22,Male,1995-09-20,20,Less than 25,African-American,2,9,2,0,4,-1,2013-10-21 09:58:35,2013-10-23 03:44:00,13014716CF10A,2013-10-21,,1,F,Possession of Cocaine,1,16002649CF10A,(F1),0,2016-03-01,,2016-03-01,2016-03-03,,0,,,,,Risk of Recidivism,9,High,2013-10-22,Risk of Violence,9,High,2013-10-22,2013-12-29,2013-12-30,4,1,68,0,1 +7593,daniel hernandez,daniel,hernandez,2014-06-26,Male,1975-03-20,41,25 - 45,Hispanic,0,2,0,0,1,0,2014-06-26 03:41:33,2014-06-26 09:02:30,14008811CF10A,2014-06-26,,0,F,Possession of Cocaine,1,15025616TC20A,(M2),,2015-04-21,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-06-26,Risk of Violence,2,Low,2014-06-26,2014-06-26,2014-06-26,1,0,299,1,1 +7595,julia acosta,julia,acosta,2014-01-21,Female,1960-06-06,55,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-01-20 03:07:14,2014-01-21 01:35:53,14000992MM10A,2014-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-01-20,2014-01-21,0,0,801,0,0 +7596,joseph janes,joseph,janes,2014-02-07,Male,1986-10-14,29,25 - 45,African-American,3,2,0,0,6,-26,2014-01-12 05:40:58,2014-02-07 10:54:39,14000540CF10A,,2014-01-29,9,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-07,Risk of Violence,2,Low,2014-02-07,2014-01-12,2014-02-07,6,0,784,0,0 +7597,marvin davis,marvin,davis,2013-08-15,Male,1984-12-24,31,25 - 45,Other,0,1,0,0,0,-1,2013-08-14 04:57:47,2013-08-15 07:27:09,13015402MM10A,2013-08-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2013-08-14,2013-08-15,0,0,960,0,0 +7602,anthony stephens,anthony,stephens,2014-09-24,Male,1984-05-08,31,25 - 45,African-American,0,7,0,1,11,0,2014-09-24 05:15:31,2014-09-24 08:19:53,14012933CF10A,2014-09-24,,0,F,Grand Theft (Motor Vehicle),1,15017647TC10A,(M2),1,2015-05-18,Operating W/O Valid License,2015-05-19,2015-05-19,,0,,,,,Risk of Recidivism,7,Medium,2014-09-24,Risk of Violence,5,Medium,2014-09-24,2015-02-20,2015-02-21,11,0,149,0,1 +7603,gerard fowler,gerard,fowler,2013-03-12,Male,1964-04-02,52,Greater than 45,Other,0,1,0,0,0,-1,2013-03-11 12:45:52,2013-03-12 03:29:13,13003570CF10A,2013-03-11,,1,F,Structuring Transactions,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-11,2013-03-12,0,0,1116,0,0 +7604,william warrington,william,warrington,2013-03-25,Male,1956-07-11,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-24 01:58:50,2013-03-25 08:08:20,13005743MM10A,2013-03-23,,2,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2014-06-17,2014-07-03,0,0,449,0,0 +7605,adam mccarthy,adam,mccarthy,2013-04-24,Male,1966-10-07,49,Greater than 45,African-American,0,1,0,0,1,0,2013-04-24 03:51:08,2013-04-24 08:20:44,13007982MM10A,2013-04-24,,0,M,Battery,1,14009089MM10A,(M1),0,2014-06-08,Battery,2014-06-08,2014-06-11,,1,14009089MM10A,(M1),2014-06-08,Battery,Risk of Recidivism,1,Low,2013-04-24,Risk of Violence,1,Low,2013-04-24,2014-06-08,2014-06-11,1,0,410,1,1 +7606,jerry warrens,jerry,warrens,2013-05-06,Male,1979-07-27,36,25 - 45,Caucasian,0,6,0,0,11,-1,2013-05-05 06:23:11,2013-05-07 10:47:02,13008699MM10A,2013-05-05,,1,M,Battery,1,13013844MM10A,(M1),0,2013-06-16,Resist/Obstruct W/O Violence,2013-06-16,2013-07-25,,1,13008492CF10A,(M1),2013-06-16,Battery,Risk of Recidivism,6,Medium,2013-05-06,Risk of Violence,4,Low,2013-05-06,2013-06-16,2013-07-25,11,1,41,1,1 +7607,marsofia jean,marsofia,jean,2013-11-07,Female,1993-04-08,23,Less than 25,African-American,0,3,0,0,1,-1,2013-11-06 03:13:30,2013-11-07 02:07:09,13015490CF10A,2013-11-06,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-07,Risk of Violence,4,Low,2013-11-07,2013-11-06,2013-11-07,1,0,876,0,0 +7611,william weiss,william,weiss,2014-07-13,Male,1969-11-16,46,Greater than 45,Caucasian,0,7,0,0,26,-1,2014-07-12 05:40:22,2014-12-26 07:56:44,14009546CF10A,2014-07-12,,1,F,Burglary Unoccupied Dwelling,1,15000407CF10A,(F3),,2015-01-09,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2014-07-13,Risk of Violence,3,Low,2014-07-13,2014-07-12,2014-12-26,26,166,180,1,1 +7612,brian cali,brian,cali,2013-08-20,Male,1956-10-05,59,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-08-19 08:51:21,2013-08-26 02:47:29,13015751MM10A,2013-08-19,,1,M,Battery,1,14028850TC40A,(M2),,2014-04-22,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-26,2,6,245,1,1 +7613,alfonso quesada,alfonso,quesada,2013-10-21,Male,1964-05-09,51,Greater than 45,Hispanic,0,1,0,0,1,-12,2013-10-09 10:39:23,2013-10-16 05:04:21,13013687CF10A,,2013-10-09,12,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2013-10-09,2013-10-16,1,0,893,0,0 +7615,fred holmes,fred,holmes,2013-03-31,Male,1981-07-25,34,25 - 45,African-American,0,1,0,0,0,0,2013-03-31 12:16:34,2013-03-31 05:04:52,13004600CF10A,2013-03-30,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-31,Risk of Violence,2,Low,2013-03-31,2013-03-31,2013-03-31,0,0,1097,0,0 +7618,akhter hossain,akhter,hossain,2013-11-18,Male,1983-09-15,32,25 - 45,Other,0,1,0,0,0,-1,2013-11-17 05:08:44,2013-11-18 02:11:05,13015972CF10A,2013-11-17,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-11-17,2013-11-18,0,0,865,0,0 +7620,thurman jones,thurman,jones,2013-09-19,Male,1961-11-09,54,Greater than 45,African-American,0,3,0,0,1,-1,2013-09-18 10:24:01,2013-09-19 08:42:52,13010299CF10A,,2013-09-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-19,Risk of Violence,1,Low,2013-09-19,2015-07-08,2015-07-08,1,0,657,0,0 +7622,herman smith,herman,smith,2013-05-18,Male,1992-03-05,24,Less than 25,African-American,0,10,1,0,3,-1,2013-05-17 12:13:55,2013-05-18 06:40:48,13007044CF10A,2013-05-16,,2,F,"Poss3,4 Methylenedioxymethcath",1,13012694CF10A,(F2),0,2013-09-08,Poss of Firearm by Convic Felo,2013-09-08,2014-02-04,,0,,,,,Risk of Recidivism,10,High,2013-05-18,Risk of Violence,10,High,2013-05-18,2013-06-24,2013-06-25,3,0,37,0,1 +7624,joseph fermoile,joseph,fermoile,2014-07-10,Male,1980-10-04,35,25 - 45,Caucasian,0,6,1,0,16,35,2014-08-14 10:43:26,2014-08-15 04:18:47,13013570CF10A,,2013-09-25,288,F,arrest case no charge,1,14011115CF10A,(F3),0,2014-08-14,Grand Theft in the 3rd Degree,2014-08-14,2014-08-15,,0,,,,,Risk of Recidivism,6,Medium,2014-07-10,Risk of Violence,3,Low,2014-07-10,2014-08-14,2014-08-15,16,0,35,1,1 +7625,kymar forchin,kymar,forchin,2013-02-09,Male,1983-10-09,32,25 - 45,Other,0,3,0,0,0,-1,2013-02-08 11:50:54,2013-02-09 08:05:24,13002888MM10A,2013-02-08,,1,M,Solic to Commit Battery,1,13005139MM10A,(M1),0,2013-03-15,Viol Pretrial Release Dom Viol,2013-03-15,2013-03-16,,0,,,,,Risk of Recidivism,3,Low,2013-02-09,Risk of Violence,2,Low,2013-02-09,2013-03-15,2013-03-16,0,0,34,1,1 +7631,daniel turbay,daniel,turbay,2013-12-14,Male,1993-05-01,22,Less than 25,Caucasian,0,5,0,0,0,-1,2013-12-13 11:33:48,2013-12-14 01:30:52,13017237CF10A,2013-12-13,,1,F,Possession of Cocaine,1,14004048MM10A,(M1),0,2014-03-08,Refuse Submit Blood/Breath Test,2014-03-08,2014-03-08,,0,,,,,Risk of Recidivism,5,Medium,2013-12-14,Risk of Violence,5,Medium,2013-12-14,2014-03-08,2014-03-08,0,0,84,0,1 +7634,troy paul,troy,paul,2013-03-13,Male,1979-08-08,36,25 - 45,African-American,0,1,0,0,0,0,2013-03-13 02:27:45,2013-03-13 07:08:18,13003679CF10A,2013-03-12,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,2013-03-13,2013-03-13,0,0,1115,0,0 +7635,kenneth young,kenneth,young,2013-06-04,Male,1954-10-31,61,Greater than 45,Caucasian,0,1,0,0,0,-4,2013-05-31 09:09:37,2013-06-01 08:30:27,13010462MM10A,2013-05-31,,4,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-04,Risk of Violence,1,Low,2013-06-04,2013-08-09,2013-09-16,0,0,66,0,0 +7636,susan roberts,susan,roberts,2013-01-06,Female,1977-09-04,38,25 - 45,African-American,0,2,0,0,0,-1,2013-01-05 06:24:13,2013-01-06 08:58:18,13000242MM10A,2013-01-05,,1,M,Fail To Obey Police Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2013-01-05,2013-01-06,0,0,1181,0,0 +7637,roberto martinez,roberto,martinez,2013-05-06,Male,1974-09-12,41,25 - 45,Hispanic,0,2,0,0,9,-1,2013-05-05 04:10:51,2013-05-14 11:36:09,10014854CF10A,,2013-05-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2014-01-13,2014-01-23,9,8,252,0,0 +7638,alexander castro,alexander,castro,2014-06-09,Male,1982-03-03,34,25 - 45,Hispanic,0,1,0,0,2,0,2014-06-09 02:22:11,2014-06-10 03:23:28,14009137MM10A,2014-06-09,,0,M,Viol Injunct Domestic Violence,1,14016045MM10A,(M1),0,2014-11-06,Viol Prot Injunc Repeat Viol,2014-11-06,2014-11-07,,0,,,,,Risk of Recidivism,1,Low,2014-06-09,Risk of Violence,2,Low,2014-06-09,2014-11-06,2014-11-07,2,1,150,1,1 +7639,matthew holmes,matthew,holmes,2013-08-13,Male,1983-10-02,32,25 - 45,African-American,0,3,0,0,0,0,2013-08-13 04:44:44,2013-08-14 08:27:05,13011381CF10A,2013-08-13,,0,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,2013-08-13,2013-08-14,0,1,962,0,0 +7640,brian watkins,brian,watkins,2013-12-19,Male,1978-05-27,37,25 - 45,Caucasian,0,7,0,0,1,-9,2013-12-10 04:34:03,2013-12-18 09:32:52,13017081CF10A,2013-12-10,,9,F,Possession of Cocaine,1,15008747CF10A,(F3),,2015-07-08,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-19,Risk of Violence,1,Low,2013-12-19,2014-03-22,2014-03-26,1,0,93,0,1 +7642,lamont dixon,lamont,dixon,2013-05-01,Male,1969-06-08,46,Greater than 45,African-American,0,7,0,0,18,-114,2013-01-07 04:19:44,2013-03-13 05:49:43,13006217CF10A,2013-04-30,,1,F,Felony Petit Theft,1,15016236CF10A,(F3),,2015-12-19,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-01,Risk of Violence,3,Low,2013-05-01,2013-01-07,2013-03-13,18,0,962,1,0 +7644,taquan wallace,taquan,wallace,2013-08-27,Male,1994-10-02,21,Less than 25,African-American,0,8,0,0,4,-1,2013-08-26 06:18:02,2013-10-26 01:31:27,13012051CF10A,2013-08-26,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-27,Risk of Violence,6,Medium,2013-08-27,2015-05-19,2015-05-21,4,60,630,0,0 +7645,michael collins,michael,collins,2014-08-21,Male,1958-10-28,57,Greater than 45,African-American,0,1,0,0,0,-1,2014-08-20 06:51:15,2014-08-21 01:55:41,14011378CF10A,2014-08-20,,1,F,Possession of Cocaine,1,15006500MM10A,(M1),0,2015-06-16,Possess Cannabis/20 Grams Or Less,2015-06-16,2015-08-27,,0,,,,,Risk of Recidivism,1,Low,2014-08-21,Risk of Violence,1,Low,2014-08-21,2015-06-16,2015-08-27,0,0,299,1,1 +7647,ronald knight,ronald,knight,2013-12-20,Male,1947-05-31,68,Greater than 45,African-American,0,4,0,0,2,0,2013-12-20 03:05:36,2013-12-20 08:39:18,13017571CF10A,2013-12-19,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-20,Risk of Violence,2,Low,2013-12-20,2013-12-20,2013-12-20,2,0,833,0,0 +7648,kamiyla lane,kamiyla,lane,2014-03-17,Male,1992-02-16,24,Less than 25,African-American,0,3,0,0,0,-1,2014-03-16 10:38:41,2014-03-18 05:32:41,14004560MM10A,2014-03-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-17,Risk of Violence,4,Low,2014-03-17,2014-03-16,2014-03-18,0,1,746,0,0 +7649,thomas styles,thomas,styles,2014-05-14,Male,1969-10-28,46,Greater than 45,African-American,0,1,0,0,3,-1,2014-05-13 01:14:54,2014-05-14 02:11:16,14006643CF10A,2014-05-13,,1,F,False Ownership Info/Pawn Item,1,15007689MM10A,(M1),0,2015-07-19,Possess Cannabis/20 Grams Or Less,2015-07-19,2015-07-22,,0,,,,,Risk of Recidivism,1,Low,2014-05-14,Risk of Violence,1,Low,2014-05-14,2015-07-19,2015-07-22,3,0,431,1,1 +7650,tomas smith,tomas,smith,2014-07-14,Male,1975-04-06,41,25 - 45,Caucasian,0,4,0,0,1,-1,2014-07-13 05:33:05,2014-09-09 05:24:12,14009576CF10A,2014-07-13,,1,F,Felony Battery (Dom Strang),1,14012656CF10A,(M2),1,2014-09-17,Reckless Driving,2014-09-18,2014-09-18,,1,14012656CF10A,(F3),2014-09-17,Agg Fleeing and Eluding,Risk of Recidivism,4,Low,2014-07-14,Risk of Violence,2,Low,2014-07-14,2014-07-13,2014-09-09,1,57,65,1,1 +7651,dechand ramsook,dechand,ramsook,2013-01-23,Male,1985-08-15,30,25 - 45,Other,0,2,0,0,0,-1,2013-01-22 06:24:52,2013-02-01 09:53:21,13001035CF10A,,2013-01-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-23,Risk of Violence,2,Low,2013-01-23,2013-01-22,2013-02-01,0,9,1164,0,0 +7652,darius wilkins,darius,wilkins,2013-12-28,Male,1991-02-19,25,25 - 45,African-American,0,8,0,2,8,0,2013-12-28 04:52:50,2013-12-28 07:51:57,13017890CF10A,2013-12-28,,0,F,Felony Driving While Lic Suspd,1,14009039MM10A,(M2),0,2014-06-07,Prowling/Loitering,2014-06-07,2014-06-07,,0,,,,,Risk of Recidivism,8,High,2013-12-28,Risk of Violence,7,Medium,2013-12-28,2014-04-21,2014-04-25,8,0,114,0,1 +7653,andrew riggins,andrew,riggins,2014-01-19,Male,1992-02-09,24,Less than 25,African-American,0,7,0,0,7,-1,2014-01-18 12:03:04,2014-01-19 09:06:51,14000801CF10A,,2014-01-18,1,F,arrest case no charge,1,16002794CF10A,(F3),0,2016-03-04,,2016-03-04,2016-03-05,,0,,,,,Risk of Recidivism,7,Medium,2014-01-19,Risk of Violence,6,Medium,2014-01-19,2014-02-27,2014-02-28,7,0,39,0,1 +7654,anthony lisinicchia,anthony,lisinicchia,2014-02-23,Male,1974-10-22,41,25 - 45,African-American,0,4,0,0,1,-1,2014-02-22 11:14:46,2014-02-25 07:09:00,14002537CF10A,2014-02-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-23,Risk of Violence,3,Low,2014-02-23,2014-02-22,2014-02-25,1,2,768,0,0 +7655,dave jackson,dave,jackson,2014-01-11,Male,1960-11-24,55,Greater than 45,Other,0,1,0,0,4,-1,2014-01-10 04:54:10,2014-01-15 12:17:38,14000439CF10A,2014-01-10,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-11,Risk of Violence,1,Low,2014-01-11,2014-01-10,2014-01-15,4,4,811,0,0 +7656,luis vigniero,luis,vigniero,2013-01-29,Male,1990-03-20,26,25 - 45,Hispanic,0,2,0,0,1,,,,12017413CF10A,2012-11-29,,61,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-29,Risk of Violence,3,Low,2013-01-29,,,1,0,1158,0,0 +7657,ramon delacruz,ramon,delacruz,2013-09-04,Male,1976-06-18,39,25 - 45,Hispanic,0,2,0,0,2,-83,2013-06-13 10:20:55,2013-06-14 06:31:46,13008390CF10A,2013-06-13,,83,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-06-13,2013-06-14,2,0,940,0,0 +7659,eric alders,eric,alders,2013-03-07,Male,1983-03-24,33,25 - 45,Caucasian,0,4,0,0,1,-4,2013-03-03 01:55:16,2013-03-06 07:18:53,13001461CF10A,,2013-03-03,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-07,Risk of Violence,3,Low,2013-03-07,2013-03-03,2013-03-06,1,0,1121,0,0 +7660,cavoan ramson,cavoan,ramson,2014-02-06,Male,1992-10-09,23,Less than 25,African-American,0,2,0,0,0,-1,2014-02-05 09:02:47,2014-02-06 10:06:16,14001628CF10A,2014-02-05,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-06,Risk of Violence,4,Low,2014-02-06,2014-02-05,2014-02-06,0,0,785,0,0 +7661,tammy trotter,tammy,trotter,2014-05-01,Female,1968-05-03,47,Greater than 45,Caucasian,0,9,0,0,28,-1,2014-04-30 11:20:25,2014-08-26 05:13:39,14006012CF10A,2014-04-30,,1,F,Felony Committing Prostitution,1,14013909CF10A,(F3),0,2014-10-15,Felony Committing Prostitution,2014-10-15,2014-10-16,,0,,,,,Risk of Recidivism,9,High,2014-05-01,Risk of Violence,5,Medium,2014-05-01,2014-10-15,2014-10-16,28,117,167,1,1 +7663,carol debriae,carol,debriae,2013-02-01,Female,1964-08-02,51,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-01-30 08:18:59,2013-01-31 08:50:16,13001486CF10A,2013-01-30,,2,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-01,Risk of Violence,1,Low,2013-02-01,2013-01-30,2013-01-31,0,0,1155,0,0 +7667,andrew abbott,andrew,abbott,2014-01-05,Male,1979-12-11,36,25 - 45,Caucasian,0,2,0,0,1,-1,2014-01-04 09:29:21,2014-01-05 02:30:46,14000184MM10A,2014-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-05,Risk of Violence,3,Low,2014-01-05,2014-01-04,2014-01-05,1,0,817,0,0 +7668,john meneses,john,meneses,2013-05-04,Male,1959-02-21,57,Greater than 45,Hispanic,0,1,0,0,0,0,2013-05-04 02:39:10,2013-08-21 09:19:11,13006413CF10A,2013-05-03,,1,M,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2014-09-22,2014-10-28,0,109,506,0,0 +7669,tony gotiear,tony,gotiear,2013-12-06,Male,1972-06-02,43,25 - 45,African-American,0,1,0,0,0,0,2013-12-06 04:49:34,2013-12-06 08:32:43,13022631MM10A,2013-12-06,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2013-12-06,2013-12-06,0,0,847,0,0 +7670,eddie whitehead,eddie,whitehead,2013-08-28,Male,1989-08-04,26,25 - 45,African-American,0,7,0,0,4,-1,2013-08-27 07:20:17,2013-08-29 05:49:36,13012089CF10A,2013-08-24,,4,F,"Poss3,4 Methylenedioxymethcath",1,14010475TC10A,(M1),0,2014-02-22,Opert With Susp DL 2nd Offens,2014-02-22,2014-02-28,,0,,,,,Risk of Recidivism,7,Medium,2013-08-28,Risk of Violence,6,Medium,2013-08-28,2013-10-02,2013-12-21,4,1,35,0,1 +7672,linden anderson,linden,anderson,2014-02-17,Male,1969-03-01,47,Greater than 45,Other,0,1,0,0,0,-1,2014-02-16 06:32:47,2014-02-17 01:03:05,14002685MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-17,Risk of Violence,1,Low,2014-02-17,2014-02-16,2014-02-17,0,0,774,0,0 +7673,deroslyn doreus,deroslyn,doreus,2013-12-22,Male,1956-01-02,60,Greater than 45,African-American,0,1,0,0,1,-1,2013-12-21 09:55:31,2013-12-22 01:18:00,13006126CF10A,,2013-12-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-21,2013-12-22,1,0,831,0,0 +7674,darien justice,darien,justice,2013-02-10,Male,1991-05-05,24,Less than 25,African-American,0,5,0,0,0,-1,2013-02-09 08:28:39,2013-02-10 07:52:20,13002910MM10A,2013-02-09,,1,M,Possess Cannabis/20 Grams Or Less,1,14006024MM10A,(M1),,2014-02-13,Battery,,,,1,14006024MM10A,(M1),2014-02-13,Battery,Risk of Recidivism,5,Medium,2013-02-10,Risk of Violence,5,Medium,2013-02-10,2016-01-04,2016-01-13,0,0,368,1,1 +7675,corey marrero,corey,marrero,2013-12-26,Male,1995-11-01,20,Less than 25,Caucasian,0,7,0,0,0,-1,2013-12-25 05:38:08,2013-12-26 08:36:31,13017774CF10A,2013-12-24,,2,F,Leaving the Scene of Accident,1,15047392TC20A,(M2),,2015-08-24,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-26,Risk of Violence,6,Medium,2013-12-26,2013-12-25,2013-12-26,0,0,606,1,1 +7676,joshua stein,joshua,stein,2014-01-13,Male,1976-11-30,39,25 - 45,Caucasian,0,1,1,0,3,317,2014-11-26 12:23:56,2014-11-26 01:50:12,13003471MM10A,2013-02-18,,329,M,Battery,1,14042970TC10A,(M2),1,2014-11-25,Fail To Obey Police Officer,2014-11-26,2014-11-26,,0,,,,,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,2,Low,2014-01-13,2014-11-26,2014-11-26,3,0,316,1,1 +7677,jenny gomezdibenedetto,jenny,gomezdibenedetto,2013-09-06,Female,1987-09-22,28,25 - 45,Caucasian,0,3,0,0,0,-6,2013-08-31 09:26:46,2013-09-01 05:23:23,13012330CF10A,2013-08-31,,6,M,Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-08-31,2013-09-01,0,0,938,0,0 +7678,marlon mckay,marlon,mckay,2014-11-10,Male,1987-11-30,28,25 - 45,African-American,0,7,2,0,7,-1,2014-11-09 06:35:17,2014-11-11 04:05:42,14015041CF10A,2014-11-09,,1,F,Possession of Cocaine,1,14016441CF10A,(F3),0,2014-12-11,Grand Theft (Motor Vehicle),2014-12-11,2014-12-11,,0,,,,,Risk of Recidivism,7,Medium,2014-11-10,Risk of Violence,9,High,2014-11-10,2014-12-11,2014-12-11,7,1,31,0,1 +7679,matthew colias,matthew,colias,2013-08-04,Male,1957-11-04,58,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-08-03 05:05:55,2013-10-25 05:19:53,13014625MM10A,2013-08-03,,1,M,Battery,1,14023689TC20A,(M2),98,2014-02-10,Leave Acc/Attend Veh/More $50,2014-05-19,2014-05-20,,0,,,,,Risk of Recidivism,3,Low,2013-08-04,Risk of Violence,1,Low,2013-08-04,2013-08-03,2013-10-25,2,82,190,1,1 +7680,frank congemi,frank,congemi,2014-01-21,Male,1949-03-09,67,Greater than 45,Caucasian,0,1,0,0,2,-80,2013-11-02 06:57:49,2013-12-18 10:31:00,13015278CF10A,2013-11-02,,80,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2013-11-02,2013-12-18,2,0,801,0,0 +7681,alberto solorio,alberto,solorio,2013-07-02,Male,1961-11-25,54,Greater than 45,Other,0,1,0,0,1,-2,2013-06-30 05:09:32,2013-07-02 10:44:07,13009208CF10A,2013-06-30,,2,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-02,Risk of Violence,1,Low,2013-07-02,2013-08-05,2013-08-08,1,0,34,0,0 +7682,shaquella pines,shaquella,pines,2014-01-07,Female,1990-04-14,26,25 - 45,African-American,0,8,0,0,1,-140,2013-08-20 08:58:27,2013-08-24 02:22:35,13011762CF10A,2013-08-20,,140,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-01-07,Risk of Violence,9,High,2014-01-07,2013-08-20,2013-08-24,1,0,815,0,0 +7683,shanese ansby,shanese,ansby,2014-06-07,Female,1992-03-29,24,Less than 25,African-American,0,7,0,0,2,-1,2014-06-06 05:43:27,2014-06-08 03:52:30,14007862CF10A,2014-06-06,,1,F,Aggravated Assault W/Dead Weap,1,15015502TC30A,(M2),,2015-02-17,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,7,Medium,2014-06-07,Risk of Violence,4,Low,2014-06-07,2014-06-06,2014-06-08,2,1,255,1,1 +7685,laurence stevens,laurence,stevens,2014-01-25,Female,1981-11-04,34,25 - 45,Other,0,1,0,0,0,0,2014-01-25 09:11:58,2014-01-26 02:13:57,14001414MM10A,2014-01-25,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2014-01-25,2014-01-26,0,1,797,0,0 +7686,jack pierre-louis,jack,pierre-louis,2013-09-11,Male,1968-01-10,48,Greater than 45,Other,0,1,0,0,1,-21,2013-08-21 04:29:00,2013-09-11 11:37:03,13011749CF10A,2013-08-21,,21,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2013-08-21,2013-09-11,1,0,933,0,0 +7688,carlton johnson,carlton,johnson,2013-04-21,Male,1978-04-22,37,25 - 45,African-American,0,8,0,0,0,-1,2013-04-20 07:10:10,2013-04-21 07:06:20,13005667CF10A,2013-04-20,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-21,Risk of Violence,7,Medium,2013-04-21,2013-04-20,2013-04-21,0,0,1076,0,0 +7689,antoine ilus,antoine,ilus,2013-01-17,Male,1987-08-23,28,25 - 45,African-American,0,8,0,0,8,-1,2013-01-16 09:27:53,2013-01-19 09:22:26,13000762CF10A,2013-01-16,,1,F,Deliver Cocaine,1,13112303TC30A,(M2),,2013-10-31,Susp Drivers Lic 1st Offense,,,,1,15000128MM10A,(M1),2015-01-04,Battery,Risk of Recidivism,8,High,2013-01-17,Risk of Violence,7,Medium,2013-01-17,2013-01-16,2013-01-19,8,2,287,1,1 +7690,terry carte,terry,carte,2014-03-11,Male,1970-02-06,46,Greater than 45,Caucasian,0,3,0,0,14,-1,2014-03-10 11:47:28,2014-03-11 10:29:27,14003365CF10A,2014-03-10,,1,F,Driving While License Revoked,1,14008684CF10A,(M1),0,2014-06-24,Present Proof of Invalid Insur,2014-06-24,2014-06-25,,0,,,,,Risk of Recidivism,3,Low,2014-03-11,Risk of Violence,4,Low,2014-03-11,2014-05-10,2014-05-10,14,0,60,0,1 +7692,bryon allmond,bryon,allmond,2013-02-07,Male,1970-12-21,45,Greater than 45,Caucasian,0,4,0,0,2,0,2013-02-07 02:17:57,2013-02-10 01:49:12,13004985MM10A,2013-02-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-07,Risk of Violence,3,Low,2013-02-07,2013-02-07,2013-02-10,2,3,1149,0,0 +7693,gerard restaino,gerard,restaino,2014-09-17,Male,1995-08-24,20,Less than 25,African-American,0,7,0,1,2,-1,2014-09-16 03:26:15,2014-09-26 09:55:44,14012639CF10A,2014-09-17,,0,F,Principal In The First Degree,1,14015556CF10A,(F3),0,2014-11-18,Grand Theft in the 3rd Degree,2014-11-18,2015-06-30,,1,15010401MM10A,(M1),2015-10-04,Battery,Risk of Recidivism,7,Medium,2014-09-17,Risk of Violence,9,High,2014-09-17,2014-10-06,2014-11-08,2,9,19,0,1 +7694,byron everett,byron,everett,2013-02-24,Male,1964-01-21,52,Greater than 45,African-American,0,1,0,0,0,0,2013-02-24 03:25:29,2013-02-25 01:51:43,13003835MM10A,2013-02-24,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2013-02-24,2013-02-25,0,1,1132,0,0 +7697,owen parchment,owen,parchment,2013-12-26,Male,1987-04-07,29,25 - 45,African-American,0,2,0,0,0,-1,2013-12-25 09:52:58,2013-12-26 01:17:54,13023756MM10A,2013-12-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-26,Risk of Violence,2,Low,2013-12-26,2013-12-25,2013-12-26,0,0,827,0,0 +7698,dericky mcgirt,dericky,mcgirt,2013-04-22,Male,1981-09-07,34,25 - 45,African-American,0,8,0,4,11,0,2013-04-22 11:11:43,2013-04-23 07:29:12,13005742CF10A,2013-04-22,,0,F,Aggravated Assault w/Firearm,1,13016450MM10A,(M1),0,2013-08-07,Resist/Obstruct W/O Violence,2013-08-07,2013-08-08,,1,14011918CF10A,(F2),2014-08-28,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2013-04-22,Risk of Violence,8,High,2013-04-22,2013-08-07,2013-08-08,11,1,107,1,1 +7699,dershawn williams,dershawn,williams,2013-10-12,Male,1991-04-23,24,Less than 25,African-American,0,2,0,0,0,0,2013-10-12 12:04:11,2013-11-04 09:08:02,13014271CF10A,2013-10-11,,1,F,Tamper With Witness/Victim/CI,1,14023558TC10A,(M2),,2014-06-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-12,Risk of Violence,4,Low,2013-10-12,2013-10-12,2013-11-04,0,23,243,1,1 +7700,david shuman,david,shuman,2013-05-25,Male,1988-04-01,28,25 - 45,African-American,0,10,0,0,6,0,2013-05-25 04:58:09,2013-08-14 04:16:37,13007480CF10A,2013-05-25,,0,F,Grand Theft (Motor Vehicle),1,13012135CF10A,(F2),4,2013-08-24,Robbery / No Weapon,2013-08-28,2014-06-12,,1,13012135CF10A,(F2),2013-08-24,Robbery / No Weapon,Risk of Recidivism,10,High,2013-05-25,Risk of Violence,10,High,2013-05-25,2013-05-25,2013-08-14,6,81,91,1,1 +7703,william quarles,william,quarles,2014-12-13,Male,1987-08-14,28,25 - 45,African-American,0,5,0,0,2,-1,2014-12-12 07:25:24,2014-12-14 08:10:55,14016506CF10A,2014-12-12,,1,F,Aggravated Battery / Pregnant,1,15011161CF10A,(F3),0,2015-08-29,Possession of Cannabis,2015-08-29,2015-08-29,,0,,,,,Risk of Recidivism,5,Medium,2014-12-13,Risk of Violence,3,Low,2014-12-13,2015-08-29,2015-08-29,2,1,259,0,1 +7704,johnny philus,johnny,philus,2013-10-01,Male,1986-11-20,29,25 - 45,African-American,0,7,0,0,0,0,2013-10-01 01:08:10,2013-10-01 08:58:30,13013726CF10A,2013-09-30,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-01,Risk of Violence,7,Medium,2013-10-01,2013-10-01,2013-10-01,0,0,913,0,0 +7705,patricia cerra,patricia,cerra,2013-09-12,Female,1961-03-07,55,Greater than 45,Caucasian,0,1,0,0,2,-12,2013-08-31 09:30:54,2013-09-03 08:31:38,13012310CF10A,2013-08-31,,12,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2014-01-31,2014-02-19,2,0,141,0,0 +7706,flaviano leon,flaviano,leon,2013-09-16,Male,1948-01-28,68,Greater than 45,Hispanic,0,1,0,0,0,-3,2013-09-13 11:36:13,2013-09-14 07:08:11,13017496MM10A,2013-09-13,,3,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-09-13,2013-09-14,0,0,928,0,0 +7707,orlando gonzalez,orlando,gonzalez,2013-05-10,Male,1993-07-14,22,Less than 25,Hispanic,0,4,0,0,0,-1,2013-05-09 04:04:46,2013-05-11 05:45:26,13006687CF10A,2013-05-09,,1,F,Grand Theft (Motor Vehicle),1,13001460MM20A,(M1),90,2013-05-21,Possess Cannabis/20 Grams Or Less,2013-08-19,2013-08-27,,0,,,,,Risk of Recidivism,4,Low,2013-05-10,Risk of Violence,5,Medium,2013-05-10,2013-05-09,2013-05-11,0,1,11,1,1 +7710,ronald schultheiss,ronald,schultheiss,2014-10-21,Male,1991-12-23,24,Less than 25,Caucasian,0,8,0,0,3,-1,2014-10-20 03:10:59,2014-11-07 01:41:41,14014157CF10A,2014-10-20,,1,F,Grand Theft (Motor Vehicle),1,15001664MM10A,(M1),,2014-11-14,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,8,High,2014-10-21,Risk of Violence,8,High,2014-10-21,2014-10-20,2014-11-07,3,17,24,1,1 +7711,devon beckford,devon,beckford,2014-02-04,Male,1995-05-30,20,Less than 25,African-American,0,3,0,0,0,-1,2014-02-03 11:53:10,2014-02-04 07:53:18,14001521CF10A,2014-02-03,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-04,Risk of Violence,6,Medium,2014-02-04,2014-02-03,2014-02-04,0,0,787,0,0 +7712,abraham walker,abraham,walker,2014-01-17,Male,1992-09-30,23,Less than 25,African-American,0,5,0,0,0,0,2014-01-17 12:26:03,2014-02-18 12:46:42,14000850MM10A,2014-01-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-17,Risk of Violence,5,Medium,2014-01-17,2014-01-17,2014-02-18,0,32,805,0,0 +7714,alexander bucknor,alexander,bucknor,2013-04-11,Male,1971-12-30,44,25 - 45,African-American,0,4,0,0,6,0,2013-04-11 12:06:33,2013-10-23 04:56:40,13005177CF10A,2013-04-10,,1,F,Possession of Cocaine,1,15045664TC40A,(M2),,2015-07-30,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-11,Risk of Violence,3,Low,2013-04-11,2013-04-11,2013-10-23,6,195,840,1,1 +7717,lavoris walker,lavoris,walker,2014-05-17,Male,1981-05-09,34,25 - 45,African-American,2,7,0,1,8,-1,2014-05-16 11:52:32,2014-05-21 03:52:39,14006802CF10A,2014-05-16,,1,F,Possession of Cocaine,1,15011697CF10A,(F3),0,2015-09-09,Possession of Cocaine,2015-09-09,2015-09-11,,0,,,,,Risk of Recidivism,7,Medium,2014-05-17,Risk of Violence,3,Low,2014-05-17,2014-08-27,2014-08-28,8,4,102,0,1 +7720,stephen gornall,stephen,gornall,2013-02-23,Male,1960-10-08,55,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-22 10:17:18,2013-02-23 09:04:28,13003745MM10A,2013-02-22,,1,M,Battery,1,14000433MM40A,(M2),,2014-01-17,Petit Theft,,,,1,14010455CF10A,(F3),2014-07-31,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-05-22,2013-05-23,0,0,88,0,1 +7721,charniece hill,charniece,hill,2013-04-03,Female,1993-01-12,23,Less than 25,African-American,0,6,0,0,0,-1,2013-04-02 07:28:45,2013-04-03 11:31:36,13004733CF10A,2013-04-02,,1,F,Resist Officer w/Violence,1,13012805MO10A,(MO3),0,2013-07-05,Trespass,2013-07-05,2013-07-06,,0,,,,,Risk of Recidivism,6,Medium,2013-04-03,Risk of Violence,6,Medium,2013-04-03,2013-07-05,2013-07-06,0,0,93,1,1 +7722,nastastear wilson,nastastear,wilson,2014-08-18,Female,1993-01-04,23,Less than 25,African-American,0,9,0,0,3,0,2014-08-18 05:26:02,2014-08-23 05:45:37,14011294CF10A,2014-08-18,,0,F,Grand Theft (Motor Vehicle),1,14016354MM10A,(M1),0,2014-11-14,Unlaw Use False Name/Identity,2014-11-14,2015-02-08,,0,,,,,Risk of Recidivism,9,High,2014-08-18,Risk of Violence,7,Medium,2014-08-18,2014-11-14,2015-02-08,3,5,88,1,1 +7723,ebrain penaloza,ebrain,penaloza,2013-10-27,Male,1992-01-18,24,Less than 25,Hispanic,0,2,0,0,0,-1,2013-10-26 05:22:40,2013-11-01 09:17:55,13014984CF10A,2013-10-26,,1,F,Burglary Conveyance Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-27,Risk of Violence,3,Low,2013-10-27,2013-10-26,2013-11-01,0,5,887,0,0 +7725,artis cameron,artis,cameron,2013-10-02,Male,1938-04-24,77,Greater than 45,African-American,0,1,0,0,0,0,2013-10-02 02:55:47,2013-10-02 01:23:59,13018779MM10A,2013-10-01,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-02,2013-10-02,0,0,912,0,0 +7726,jeffrey flowers,jeffrey,flowers,2013-01-29,Male,1963-08-09,52,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-01-28 09:52:03,2013-01-29 08:32:48,13002012MM10A,2013-01-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-28,2013-01-29,3,0,1158,0,0 +7728,david hollis,david,hollis,2014-05-06,Male,1981-05-13,34,25 - 45,African-American,2,9,0,0,8,0,2014-05-06 01:53:05,2014-05-08 03:43:14,14006354CF10A,2014-05-06,,0,F,Poss Cocaine/Intent To Del/Sel,1,14008489MM10A,(M1),0,2014-05-27,Trespass/Property/Other Structure,2014-05-27,2014-05-28,,0,,,,,Risk of Recidivism,9,High,2014-05-06,Risk of Violence,7,Medium,2014-05-06,2014-05-27,2014-05-28,8,2,21,1,1 +7729,hamlet rodriguez-cabreja,hamlet,rodriguez-cabreja,2013-04-07,Male,1976-12-07,39,25 - 45,Hispanic,0,1,0,0,0,0,2013-04-07 02:47:23,2013-04-07 06:33:09,13005024CF10A,,2013-04-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2013-04-07,2013-04-07,0,0,1090,0,0 +7730,kristopher pendlebury,kristopher,pendlebury,2013-04-01,Male,1986-02-02,30,25 - 45,Caucasian,0,2,0,0,2,-1,2013-03-31 02:47:55,2013-04-01 02:34:42,13006177MM10A,2013-03-30,,2,M,Possess Cannabis/20 Grams Or Less,1,13006197CF10A,(F3),0,2013-04-30,Possession of Cocaine,2013-04-30,2013-05-01,,0,,,,,Risk of Recidivism,2,Low,2013-04-01,Risk of Violence,2,Low,2013-04-01,2013-04-30,2013-05-01,2,0,29,1,1 +7732,hopeton vassell,hopeton,vassell,2014-11-22,Male,1962-06-05,53,Greater than 45,African-American,0,2,0,0,5,,,,14017250MM10A,2014-11-21,,1,M,Carrying A Concealed Weapon,1,15011567MM10A,(M2),,2015-11-03,Petit Theft,,,,0,,,,,Risk of Recidivism,2,Low,2014-11-22,Risk of Violence,1,Low,2014-11-22,,,5,0,346,1,1 +7733,darren robinson,darren,robinson,2013-05-17,Male,1985-06-21,30,25 - 45,African-American,0,2,0,0,3,-1,2013-05-16 11:33:43,2013-05-22 05:48:47,13009525MM10A,2013-05-16,,1,M,Viol Pretrial Release Dom Viol,1,13013969MM10A,(M1),351,2013-06-10,Viol Pretrial Release Dom Viol,2014-05-27,2014-06-14,,0,,,,,Risk of Recidivism,2,Low,2013-05-17,Risk of Violence,2,Low,2013-05-17,2013-05-16,2013-05-22,3,5,24,1,1 +7734,christopher wilson,christopher,wilson,2013-03-04,Male,1989-09-26,26,25 - 45,African-American,0,4,0,0,0,0,2013-03-04 02:25:25,2013-03-04 01:51:09,13003244CF10A,2013-03-04,,0,F,"Poss3,4 Methylenedioxymethcath",1,14011659MM10A,(M2),1,2014-07-31,Susp Drivers Lic 1st Offense,2014-08-01,2014-08-01,,0,,,,,Risk of Recidivism,4,Low,2013-03-04,Risk of Violence,3,Low,2013-03-04,2015-01-04,2015-01-08,0,0,514,1,1 +7735,emily diana,emily,diana,2013-06-17,Female,1965-02-09,51,Greater than 45,Caucasian,0,2,0,0,1,-30,2013-05-18 09:53:45,2013-05-19 12:59:16,13009599MM10A,2013-05-18,,30,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-17,Risk of Violence,1,Low,2013-06-17,2013-05-18,2013-05-19,1,0,1019,0,0 +7736,anthony roberts,anthony,roberts,2014-01-23,Male,1982-01-07,34,25 - 45,African-American,0,3,0,0,2,-12,2014-01-11 04:48:44,2014-01-23 10:12:03,14000544CF10A,,2014-01-11,12,F,arrest case no charge,1,16001092MM40A,(M1),,2016-02-18,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-11,2014-01-23,2,0,756,1,0 +7737,juan gonzolaz,juan,gonzolaz,2014-01-14,Male,1992-06-16,23,Less than 25,Caucasian,0,2,0,0,0,-1,2014-01-13 09:16:26,2014-01-18 09:53:52,14000578CF10A,2014-01-13,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-14,Risk of Violence,4,Low,2014-01-14,2014-01-13,2014-01-18,0,4,808,0,0 +7738,miguel morales,miguel,morales,2013-12-17,Male,1983-05-13,32,25 - 45,Caucasian,0,2,0,0,2,-1,2013-12-16 07:09:57,2013-12-17 03:07:16,13017362CF10A,2013-12-16,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-17,Risk of Violence,1,Low,2013-12-17,2013-12-16,2013-12-17,2,0,836,0,0 +7740,evans mesadieu,evans,mesadieu,2013-10-29,Male,1977-09-16,38,25 - 45,African-American,1,6,5,0,8,0,2013-10-29 12:09:43,2013-11-14 09:04:39,13020385MM10A,2013-10-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-29,Risk of Violence,4,Low,2013-10-29,2013-10-29,2013-11-14,8,16,885,0,0 +7741,russell gaskin,russell,gaskin,2013-01-18,Male,1994-08-30,21,Less than 25,African-American,0,7,0,0,0,-1,2013-01-17 01:27:40,2013-01-18 09:36:52,13000827CF10A,2013-01-17,,1,F,Burglary Dwelling Occupied,1,13019732MM10A,(M1),,2013-09-11,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-18,Risk of Violence,7,Medium,2013-01-18,2016-01-04,2016-01-13,0,0,236,1,1 +7742,brian wood,brian,wood,2014-02-14,Male,1981-06-19,34,25 - 45,Hispanic,0,6,0,0,5,-1,2014-02-13 07:02:45,2014-02-14 08:00:45,14002048CF10A,2014-02-13,,1,F,Felony Driving While Lic Suspd,1,15001298MM40A,(M1),,2015-02-23,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-14,Risk of Violence,2,Low,2014-02-14,2014-12-03,2014-12-20,5,0,292,0,1 +7744,roberto melchor,roberto,melchor,2013-11-03,Male,1962-06-07,53,Greater than 45,Caucasian,0,2,0,0,8,-1,2013-11-02 09:17:38,2013-11-06 11:21:33,13020684MM10A,2013-11-02,,1,M,Battery,1,15022790TC40A,(M1),,2015-03-30,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-03,Risk of Violence,2,Low,2013-11-03,2013-11-02,2013-11-06,8,3,512,1,1 +7745,luis fernandezcueto,luis,fernandezcueto,2013-08-09,Male,1981-07-18,34,25 - 45,Caucasian,0,7,0,0,1,-1,2013-08-08 04:09:24,2013-09-28 07:19:04,13011117CF10A,2013-08-08,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-09,Risk of Violence,3,Low,2013-08-09,2013-08-08,2013-09-28,1,50,966,0,0 +7747,daniel perez,daniel,perez,2013-01-31,Male,1988-03-24,28,25 - 45,Hispanic,0,7,0,0,1,44,2013-03-16 09:20:21,2013-04-19 01:24:38,12005599MM10A,2012-03-18,,319,M,Violation License Restrictions,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-31,Risk of Violence,3,Low,2013-01-31,2013-03-16,2013-04-19,1,0,44,0,0 +7752,sean johnson,sean,johnson,2014-04-26,Male,1990-08-07,25,25 - 45,Caucasian,0,7,0,0,5,-1,2014-04-25 11:03:43,2014-04-27 04:12:00,14005770CF10A,2014-04-22,,4,F,Grand Theft in the 3rd Degree,1,14072995TC30A,(M2),,2014-08-21,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,7,Medium,2014-04-26,Risk of Violence,3,Low,2014-04-26,2014-04-25,2014-04-27,5,1,117,1,1 +7753,stephen hannon,stephen,hannon,2013-05-26,Male,1961-10-09,54,Greater than 45,African-American,0,1,0,0,1,-1,2013-05-25 10:06:39,2013-05-26 08:34:01,13026961TC10A,,2013-05-25,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-26,1,0,1041,0,0 +7754,richard shields,richard,shields,2014-09-19,Male,1991-02-20,25,25 - 45,Caucasian,0,4,0,0,2,0,2014-09-19 06:29:55,2014-09-19 08:58:12,14034102MU10A,2014-09-19,,0,M,Driving Under The Influence,1,15004823CF10A,(F2),0,2015-04-12,Aggrav Battery w/Deadly Weapon,2015-04-12,2015-04-12,,1,15004823CF10A,(F2),2015-04-12,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,4,Low,2014-09-19,Risk of Violence,6,Medium,2014-09-19,2015-04-12,2015-04-12,2,0,205,0,1 +7756,richard dowlatram,richard,dowlatram,2014-02-16,Male,1990-09-22,25,25 - 45,Other,0,8,0,0,3,-1,2014-02-15 06:21:35,2014-02-17 02:32:36,14002164CF10A,2014-02-15,,1,F,Grand Theft in the 3rd Degree,1,14084283TC40A,(M2),,2014-12-19,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2014-02-16,Risk of Violence,5,Medium,2014-02-16,2014-02-15,2014-02-17,3,1,306,1,1 +7757,christopher gonzalez,christopher,gonzalez,2013-09-09,Male,1982-01-13,34,25 - 45,Hispanic,0,1,0,0,1,-1,2013-09-08 08:11:29,2013-09-09 01:29:50,13017105MM10A,2013-09-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-09-08,2013-09-09,1,0,935,0,0 +7758,sony lundy,sony,lundy,2013-09-28,Male,1969-11-18,46,Greater than 45,Other,0,1,0,0,0,-1,2013-09-27 11:15:59,2013-09-28 01:36:52,13013590CF10A,2013-09-27,,1,F,Grand Theft (Motor Vehicle),1,15002688CF10A,(M1),41,2015-01-21,Unlicensed Contractor,2015-03-03,2015-03-04,,0,,,,,Risk of Recidivism,1,Low,2013-09-28,Risk of Violence,1,Low,2013-09-28,2015-03-03,2015-03-04,0,0,480,1,1 +7759,jaquez montaque,jaquez,montaque,2013-02-23,Male,1993-04-21,22,Less than 25,African-American,0,7,0,1,0,0,2013-02-23 04:16:56,2013-02-24 03:36:15,13002774CF10A,2013-02-23,,0,F,Pos Cannabis W/Intent Sel/Del,1,13075632TC20A,(M2),,2013-11-26,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-23,Risk of Violence,8,High,2013-02-23,2013-02-23,2013-02-24,0,1,276,1,1 +7760,aquaria mitchell,aquaria,mitchell,2013-01-14,Female,1993-01-14,23,Less than 25,African-American,0,10,0,0,2,-1,2013-01-13 12:08:49,2013-01-14 02:48:12,13000590CF10A,2013-01-13,,1,F,Shoot Into Vehicle,1,14001123MM10A,(M2),0,2014-01-22,Petit Theft,2014-01-22,2014-01-22,,0,,,,,Risk of Recidivism,10,High,2013-01-14,Risk of Violence,7,Medium,2013-01-14,2014-01-22,2014-01-22,2,0,373,0,1 +7762,patrick murray,patrick,murray,2013-01-30,Male,1988-09-26,27,25 - 45,Caucasian,0,7,0,0,1,-1,2013-01-29 05:00:38,2013-02-26 10:25:57,13002081MM10A,2013-01-29,,1,M,Possess Cannabis/20 Grams Or Less,1,13036933TC10A,(M2),,2013-08-04,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-30,Risk of Violence,4,Low,2013-01-30,2013-01-29,2013-02-26,1,27,186,1,1 +7763,brian allen,brian,allen,2014-01-29,Male,1971-03-01,45,Greater than 45,African-American,0,1,0,0,7,-1,2014-01-28 06:11:38,2014-01-29 08:29:49,14001254CF10A,2014-01-28,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-29,Risk of Violence,1,Low,2014-01-29,2015-03-20,2015-03-27,7,0,415,0,0 +7765,ronald galarza,ronald,galarza,2013-08-27,Male,1970-04-02,46,Greater than 45,Hispanic,0,6,0,0,12,-40,2013-07-18 01:28:56,2013-08-27 12:24:59,13010068CF10A,2013-07-18,,40,F,Possession Of Alprazolam,1,14015961CF10A,(F3),0,2014-11-29,Felony Driving While Lic Suspd,2014-11-29,2014-12-23,,0,,,,,Risk of Recidivism,6,Medium,2013-08-27,Risk of Violence,3,Low,2013-08-27,2013-10-30,2013-11-14,12,0,64,0,1 +7766,tiffany sykes,tiffany,sykes,2013-03-18,Female,1984-07-13,31,25 - 45,Caucasian,0,7,0,0,9,-1,2013-03-17 11:32:26,2013-04-13 02:32:53,13003880CF10A,2013-03-17,,1,F,Poss Contr Subst W/o Prescript,1,13005547CF10A,(F3),0,2013-04-18,Possession of Cocaine,2013-04-18,2013-05-08,,0,,,,,Risk of Recidivism,7,Medium,2013-03-18,Risk of Violence,5,Medium,2013-03-18,2013-04-18,2013-05-08,9,26,31,1,1 +7768,christopher tippett,christopher,tippett,2013-06-03,Male,1971-03-21,45,Greater than 45,Caucasian,0,1,0,0,1,-11,2013-05-23 12:26:34,2013-05-23 08:57:55,13009881MM10A,2013-05-22,,12,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-03,Risk of Violence,2,Low,2013-06-03,2013-05-23,2013-05-23,1,0,1033,0,0 +7770,ahmad james,ahmad,james,2014-03-12,Male,1987-07-20,28,25 - 45,African-American,1,5,0,0,12,-1,2014-03-11 05:02:18,2014-03-13 01:22:59,14003437CF10A,2014-03-11,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-12,Risk of Violence,5,Medium,2014-03-12,2014-03-11,2014-03-13,12,1,751,0,0 +7772,marvens metellus,marvens,metellus,2014-05-17,Male,1991-07-03,24,Less than 25,African-American,0,6,0,1,1,0,2014-05-17 02:20:50,2014-05-17 08:09:02,14006869CF10A,2014-05-17,,0,F,Possession of Cocaine,1,16002987CF10A,(F3),0,2016-03-09,,2016-03-09,2016-03-10,,0,,,,,Risk of Recidivism,6,Medium,2014-05-17,Risk of Violence,4,Low,2014-05-17,2015-04-20,2015-04-27,1,0,338,0,1 +7774,deanna rodriguez,deanna,rodriguez,2013-02-26,Female,1987-12-27,28,25 - 45,Caucasian,0,10,0,0,6,-1,2013-02-25 12:29:56,2013-03-28 09:21:23,13003940MM10A,2013-02-25,,1,M,Petit Theft,1,13009632MM10A,(M1),0,2013-05-19,Resist/Obstruct W/O Violence,2013-05-19,2013-05-20,,0,,,,,Risk of Recidivism,10,High,2013-02-26,Risk of Violence,9,High,2013-02-26,2013-05-19,2013-05-20,6,30,82,1,1 +7775,arisno absolu,arisno,absolu,2013-05-06,Male,1974-07-08,41,25 - 45,African-American,0,1,0,0,2,0,2013-05-06 01:02:59,2013-05-06 07:57:43,13006489CF10A,2013-05-05,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-06,2013-05-06,2,0,1061,0,0 +7780,anthony benjamin,anthony,benjamin,2013-09-26,Male,1980-12-05,35,25 - 45,African-American,0,2,0,2,3,-26,2013-08-31 06:56:59,2013-09-01 01:34:57,13016672MM10A,2013-08-31,,26,M,Assault,1,15010015MO10A,(MO3),0,2015-09-22,Possession Of Paraphernalia,2015-09-22,2015-09-23,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,2,Low,2013-09-26,2015-09-22,2015-09-23,3,0,726,1,1 +7781,julian johnson,julian,johnson,2014-12-10,Male,1995-12-23,20,Less than 25,African-American,1,8,0,0,1,27,2015-01-06 07:45:00,2015-01-21 01:10:05,14002363CF10A,,2014-03-17,268,F,arrest case no charge,1,15016613CF10A,(F3),,2015-12-30,Possession Burglary Tools,,,,0,,,,,Risk of Recidivism,8,High,2014-12-10,Risk of Violence,6,Medium,2014-12-10,2015-01-06,2015-01-21,1,0,27,0,1 +7785,jermaine dozier,jermaine,dozier,2013-05-16,Male,1984-03-28,32,25 - 45,African-American,0,9,3,0,19,-1,2013-05-15 05:33:51,2013-05-16 08:57:00,13006932CF10A,2013-05-15,,1,F,Possession of Cocaine,1,13011732CF10A,(F3),0,2013-08-21,Driving While License Revoked,2013-08-21,2013-08-21,,0,,,,,Risk of Recidivism,9,High,2013-05-16,Risk of Violence,4,Low,2013-05-16,2013-08-21,2013-08-21,19,0,97,0,1 +7786,ronnie wilson,ronnie,wilson,2013-02-19,Male,1987-09-01,28,25 - 45,African-American,0,5,0,0,2,-1,2013-02-18 05:10:54,2013-03-21 10:02:15,13002463CF10A,2013-02-18,,1,F,Possession of Benzylpiperazine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-19,Risk of Violence,7,Medium,2013-02-19,2015-05-27,2020-01-01,2,30,827,0,0 +7788,lincoln cadet,lincoln,cadet,2013-01-15,Male,1983-01-31,33,25 - 45,African-American,0,6,0,0,7,-1,2013-01-14 05:43:37,2013-01-15 01:55:31,13000627CF10A,2013-01-14,,1,F,Grand Theft in the 3rd Degree,1,13060867TC40A,(M2),,2013-08-12,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-15,Risk of Violence,2,Low,2013-01-15,2013-09-01,2013-09-01,7,0,209,1,1 +7790,brandon boone,brandon,boone,2014-03-05,Male,1989-10-13,26,25 - 45,African-American,0,8,1,1,8,-1,2014-03-04 02:11:02,2014-03-18 05:47:00,14003075CF10A,,2014-03-04,1,F,arrest case no charge,1,14014246MM10A,(M1),1,2014-09-26,Possess Cannabis/20 Grams Or Less,2014-09-27,2014-09-27,,0,,,,,Risk of Recidivism,8,High,2014-03-05,Risk of Violence,7,Medium,2014-03-05,2014-03-04,2014-03-18,8,13,205,1,1 +7791,evenson morency,evenson,morency,2013-02-05,Male,1993-06-07,22,Less than 25,African-American,0,9,0,0,1,-1,2013-02-04 07:31:13,2013-02-05 07:08:22,13002555MM10A,2013-02-04,,1,M,Assault Law Enforcement Officer,1,13011380CF10A,(M1),0,2013-08-13,Resist/Obstruct W/O Violence,2013-08-13,2014-04-18,,0,,,,,Risk of Recidivism,9,High,2013-02-05,Risk of Violence,8,High,2013-02-05,2013-08-13,2014-04-18,1,0,189,1,1 +7792,ariana rigaud,ariana,rigaud,2013-02-08,Female,1990-12-01,25,25 - 45,African-American,0,5,0,0,4,-1,2013-02-07 02:50:10,2013-02-08 07:36:45,13001922CF10A,2013-02-07,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-08,Risk of Violence,4,Low,2013-02-08,2013-02-07,2013-02-08,4,0,1148,0,0 +7793,gian cardona,gian,cardona,2013-05-26,Male,1995-01-10,21,Less than 25,Hispanic,0,9,0,2,0,-1,2013-05-25 10:05:23,2013-05-26 02:23:58,13007467CF10A,2013-05-25,,1,F,Aggravated Assault W/dead Weap,1,14039355TC30A,(M2),77,2014-04-03,Leave Acc/Attend Veh/More $50,2014-06-19,2014-06-20,,0,,,,,Risk of Recidivism,9,High,2013-05-26,Risk of Violence,10,High,2013-05-26,2016-02-18,2016-02-19,0,0,312,1,1 +7794,breeann mcallister,breeann,mcallister,2014-02-13,Female,1992-08-19,23,Less than 25,Caucasian,0,2,0,2,1,-1,2014-02-12 05:55:24,2014-02-12 09:58:48,14005666MU10A,2014-02-12,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-13,Risk of Violence,3,Low,2014-02-13,2014-02-12,2014-02-12,1,0,778,0,0 +7796,joshua daniels,joshua,daniels,2014-03-21,Male,1985-09-10,30,25 - 45,African-American,0,8,0,0,2,-1,2014-03-20 05:32:13,2014-03-21 03:29:29,14003966CF10A,2014-03-20,,1,F,Crim Use of Personal ID Info,1,14007738CF10A,(F3),0,2014-06-04,Driving While License Revoked,2014-06-04,2014-06-05,,1,15008569MM10A,(M1),2015-06-15,Battery,Risk of Recidivism,8,High,2014-03-21,Risk of Violence,4,Low,2014-03-21,2014-06-04,2014-06-05,2,0,75,1,1 +7797,arthur pierce,arthur,pierce,2013-03-13,Male,1946-05-13,69,Greater than 45,Caucasian,0,1,0,0,6,235,2013-11-03 07:52:53,2014-04-04 10:46:00,12164131TC30A,2012-11-16,,117,M,Driving License Suspended,1,13015302CF10A,(F1),1,2013-11-02,Traffick Amphetamine 14g><28g,2013-11-03,2014-04-04,,0,,,,,Risk of Recidivism,1,Low,2013-03-13,Risk of Violence,2,Low,2013-03-13,2013-11-03,2014-04-04,6,0,234,1,1 +7799,travis washington,travis,washington,2013-04-10,Male,1990-04-23,25,25 - 45,African-American,0,8,0,0,11,-1,2013-04-09 07:38:35,2014-09-23 06:14:09,13003473TC10A,,2013-04-08,2,M,arrest case no charge,1,15010075MM10A,(M1),,2015-09-20,Unlaw Use False Name/Identity,,,,0,,,,,Risk of Recidivism,8,High,2013-04-10,Risk of Violence,7,Medium,2013-04-10,2014-05-23,2014-05-24,11,531,408,0,1 +7800,rosetta walker,rosetta,walker,2014-01-02,Female,1960-02-18,56,Greater than 45,African-American,0,2,0,0,2,-47,2013-11-16 11:50:19,2013-11-18 04:03:10,13015953CF10A,2013-11-16,,47,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2013-11-16,2013-11-18,2,0,820,0,0 +7802,esteban velez-lopez,esteban,velez-lopez,2014-11-22,Male,1988-11-10,27,25 - 45,Hispanic,0,2,0,0,0,,,,,,,,M,,1,14018073MM10A,(M2),0,2014-12-26,Petit Theft,2014-12-26,2014-12-26,,0,,,,,Risk of Recidivism,2,Low,2014-11-22,Risk of Violence,3,Low,2014-11-22,2014-12-26,2014-12-26,0,0,34,0,1 +7804,wesley findley,wesley,findley,2013-05-07,Male,1982-10-17,33,25 - 45,African-American,0,6,0,0,3,-1,2013-05-06 06:56:21,2013-05-18 04:56:29,13006502CF10A,2013-05-06,,1,F,Burglary Structure Unoccup,1,14015199MM10A,(M1),0,2014-10-18,Possess Cannabis/20 Grams Or Less,2014-10-18,2014-10-18,,0,,,,,Risk of Recidivism,6,Medium,2013-05-07,Risk of Violence,4,Low,2013-05-07,2014-08-05,2014-08-06,3,11,455,0,1 +7806,vladimir fedotov,vladimir,fedotov,2013-04-25,Male,1980-09-29,35,25 - 45,Caucasian,0,3,0,0,3,-1,2013-04-24 01:51:08,2013-04-25 08:08:25,13008274MM10A,2013-04-24,,1,M,Viol Injunct Domestic Violence,1,15014872CF10A,(F3),1,2015-11-15,Burglary Structure Unoccup,2015-11-16,2015-11-17,,0,,,,,Risk of Recidivism,3,Low,2013-04-25,Risk of Violence,2,Low,2013-04-25,2016-01-26,2016-01-26,3,0,934,1,0 +7807,bret stratton,bret,stratton,2013-01-07,Male,1981-12-02,34,25 - 45,Caucasian,0,8,0,0,13,-1,2013-01-06 12:31:49,2013-01-25 08:59:14,13000246CF10A,2013-01-06,,1,F,Grand Theft in the 3rd Degree,1,13003640CF10A,(F3),0,2013-03-13,Felony Petit Theft,2013-03-13,2013-07-20,,1,13014344CF10A,(F3),2013-10-06,Battery on Law Enforc Officer,Risk of Recidivism,8,High,2013-01-07,Risk of Violence,3,Low,2013-01-07,2013-03-13,2013-07-20,13,18,65,1,1 +7808,torey scott,torey,scott,2014-05-29,Male,1978-12-07,37,25 - 45,African-American,0,2,0,0,2,-1,2014-05-28 10:35:03,2014-05-29 09:04:05,14007388CF10A,2014-05-28,,1,F,Felony Driving While Lic Suspd,1,15055059TC40A,(M2),,2015-09-27,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-05-29,Risk of Violence,4,Low,2014-05-29,2014-05-28,2014-05-29,2,0,486,1,1 +7809,deridra feingold,deridra,feingold,2014-11-01,Female,1960-12-28,55,Greater than 45,Caucasian,0,7,0,0,0,-2,2014-10-30 09:55:59,2014-11-05 12:51:10,14014606CF10A,2014-10-30,,2,F,Grand Theft in the 3rd Degree,1,15015599TC10A,(M2),1,2015-05-22,Unlaw LicTag/Sticker Attach,2015-05-23,2015-05-26,,0,,,,,Risk of Recidivism,7,Medium,2014-11-01,Risk of Violence,5,Medium,2014-11-01,2014-10-30,2014-11-05,0,4,202,1,1 +7811,jose benites,jose,benites,2013-09-27,Male,1972-09-08,43,25 - 45,Caucasian,0,1,0,0,1,-1,2013-09-26 07:30:58,2013-09-27 07:56:36,13018339MM10A,2013-09-26,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-27,Risk of Violence,1,Low,2013-09-27,2013-09-26,2013-09-27,1,0,917,0,0 +7812,marshall higgs,marshall,higgs,2013-02-27,Male,1988-11-26,27,25 - 45,African-American,0,10,5,1,27,0,2013-02-27 05:59:45,2013-02-27 07:50:16,13004095MM10A,2013-02-27,,0,M,Possess Cannabis/20 Grams Or Less,1,14008267MM10A,(M1),0,2014-05-05,Possess Cannabis/20 Grams Or Less,2014-05-05,2014-06-17,,1,14006274CF10A,(F2),2014-05-05,Aggravated Battery / Pregnant,Risk of Recidivism,10,High,2013-02-27,Risk of Violence,9,High,2013-02-27,2013-05-17,2013-11-24,27,0,79,0,1 +7813,james jackson,james,jackson,2013-03-21,Male,1990-03-25,26,25 - 45,African-American,0,6,0,0,7,-1,2013-03-20 03:58:00,2013-03-21 07:18:31,13004012CF10A,2013-03-20,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-21,Risk of Violence,6,Medium,2013-03-21,2014-08-19,2015-05-13,7,0,516,0,0 +7815,michelle briceno,michelle,briceno,2013-08-27,Female,1974-02-19,42,25 - 45,Caucasian,0,6,0,0,4,5,2013-09-01 06:05:36,2013-09-01 12:39:55,13012164MM10A,2013-06-25,,63,M,Battery,1,13016723MM10A,(M2),0,2013-09-01,Disorderly Conduct,2013-09-01,2013-09-01,,0,,,,,Risk of Recidivism,6,Medium,2013-08-27,Risk of Violence,3,Low,2013-08-27,2013-09-01,2013-09-01,4,0,5,0,1 +7817,jelissa garcia,jelissa,garcia,2013-09-05,Male,1989-04-03,27,25 - 45,Hispanic,0,2,0,0,0,-1,2013-09-04 11:06:07,2013-09-05 07:54:41,13016930MM10A,2013-09-04,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-09-04,2013-09-05,0,0,939,0,0 +7818,jay fisher,jay,fisher,2013-11-29,Male,1975-02-08,41,25 - 45,Caucasian,0,5,0,0,1,0,2013-11-29 02:47:41,2014-01-30 11:45:51,07011575CF10A,,2013-11-29,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-29,Risk of Violence,7,Medium,2013-11-29,2013-11-29,2014-01-30,1,62,854,0,0 +7819,thomas baldwin,thomas,baldwin,2013-07-11,Male,1994-08-28,21,Less than 25,African-American,0,9,1,0,2,-24,2013-06-17 04:17:28,2013-07-08 07:13:44,13011621MM10A,2013-06-16,,25,M,Battery,1,14008236CF10A,(M1),0,2014-06-14,Unlaw Use False Name/Identity,2014-06-14,2014-07-14,,0,,,,,Risk of Recidivism,9,High,2013-07-11,Risk of Violence,7,Medium,2013-07-11,2014-06-14,2014-07-14,2,0,338,1,1 +7820,corneilus sampson,corneilus,sampson,2014-09-05,Male,1985-05-18,30,25 - 45,African-American,0,2,0,0,4,-1,2014-09-04 07:57:39,2014-09-05 09:06:40,14013261MM10A,2014-09-04,,1,M,Battery,1,16001713CF10A,(F3),0,2016-02-09,Aggravated Assault W/Dead Weap,2016-02-09,2016-02-10,,1,16001713CF10A,(F3),2016-02-09,Aggravated Assault W/Dead Weap,Risk of Recidivism,2,Low,2014-09-05,Risk of Violence,2,Low,2014-09-05,2016-02-09,2016-02-10,4,0,522,1,1 +7821,jonathan lauf,jonathan,lauf,2013-01-12,Male,1985-11-07,30,25 - 45,Caucasian,0,8,0,0,1,-1,2013-01-11 02:26:13,2013-01-12 04:40:26,13000541CF10A,2013-01-11,,1,F,Possession Of Fentanyl,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,3,Low,2013-01-12,2014-12-09,2014-12-11,1,0,696,0,0 +7823,jennifer kemp,jennifer,kemp,2013-03-04,Female,1971-01-30,45,Greater than 45,Caucasian,0,9,0,0,0,-1,2013-03-03 04:23:16,2013-03-04 03:20:47,13003183CF10A,2013-03-03,,1,F,Battery on Law Enforc Officer,1,13010955MM10A,(M1),-1,2013-06-07,Extradition/Defendants,2013-06-06,2014-04-24,,0,,,,,Risk of Recidivism,9,High,2013-03-04,Risk of Violence,2,Low,2013-03-04,2013-06-06,2014-04-24,0,0,95,1,1 +7825,tyrel doe,tyrel,doe,2014-11-12,Male,1992-11-14,23,Less than 25,African-American,0,8,0,0,2,-9,2014-11-03 03:58:47,2014-11-10 08:37:45,14014772CF10A,2014-11-03,,9,F,Aggravated Assault W/Dead Weap,1,15011743CF10A,(F3),,2015-09-10,Poss Pyrrolidinovalerophenone,,,,0,,,,,Risk of Recidivism,8,High,2014-11-12,Risk of Violence,8,High,2014-11-12,2015-02-15,2015-03-18,2,0,95,0,1 +7830,taneka walls,taneka,walls,2013-12-30,Female,1985-04-18,31,25 - 45,African-American,0,5,0,0,2,-1,2013-12-29 05:41:34,2014-06-23 08:58:22,13017918CF10A,2013-12-29,,1,F,Aggravated Battery / Pregnant,1,14015375MM10A,(M1),0,2014-10-22,Resist/Obstruct W/O Violence,2014-10-22,2014-10-27,,0,,,,,Risk of Recidivism,5,Medium,2013-12-30,Risk of Violence,4,Low,2013-12-30,2014-10-22,2014-10-27,2,175,296,1,1 +7832,william porter,william,porter,2014-10-27,Male,1975-10-10,40,25 - 45,African-American,0,6,0,0,8,0,2014-10-27 05:38:53,2014-12-09 09:50:48,14015552MM10A,2014-10-27,,0,M,Assault,1,16007544TC40A,(M2),,2016-01-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2014-10-27,Risk of Violence,4,Low,2014-10-27,2014-10-27,2014-12-09,8,43,459,1,1 +7834,travon bentley,travon,bentley,2013-11-19,Male,1982-11-11,33,25 - 45,African-American,0,2,0,0,1,-17,2013-11-02 05:15:33,2013-11-03 01:25:20,13015279CF10A,2013-11-02,,17,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-19,Risk of Violence,1,Low,2013-11-19,2015-05-04,2015-05-11,1,0,531,0,0 +7835,daniel spencer,daniel,spencer,2013-10-22,Male,1975-10-26,40,25 - 45,African-American,0,3,0,0,11,-1,2013-10-21 04:00:29,2013-10-21 08:15:51,13019922MM10A,2013-10-21,,1,M,Driving License Suspended,1,14015923TC10A,(M2),,2014-04-09,Susp Drivers Lic 1st Offense,,,,1,15009330MM10A,(M1),2015-08-10,Battery,Risk of Recidivism,3,Low,2013-10-22,Risk of Violence,2,Low,2013-10-22,2013-10-21,2013-10-21,11,0,169,1,1 +7837,jeffry morgan,jeffry,morgan,2014-02-26,Male,1959-09-28,56,Greater than 45,Caucasian,0,2,0,0,1,0,2014-02-26 02:55:56,2014-03-13 08:51:59,14002703CF10A,2014-02-26,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2014-02-26,2014-03-13,1,15,765,0,0 +7838,wesley smith,wesley,smith,2014-02-17,Male,1994-09-06,21,Less than 25,African-American,0,3,0,0,0,-1,2014-02-16 06:13:33,2014-02-17 12:49:42,14002213CF10A,2014-02-16,,1,M,Disorderly Conduct,1,14005598MM10A,(M2),0,2014-04-01,Prowling/Loitering,2014-04-01,2014-04-03,,0,,,,,Risk of Recidivism,3,Low,2014-02-17,Risk of Violence,5,Medium,2014-02-17,2014-04-01,2014-04-03,0,0,43,1,1 +7840,indiana smith,indiana,smith,2013-04-10,Male,1994-02-16,22,Less than 25,Caucasian,0,2,0,0,1,-36,2013-03-05 11:23:03,2013-03-06 07:15:04,13003288CF10A,2013-03-05,,36,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,5,Medium,2013-04-10,2014-12-31,2015-01-09,1,0,630,0,0 +7842,tommy robinson,tommy,robinson,2013-02-13,Male,1965-03-01,51,Greater than 45,African-American,0,1,0,0,4,-28,2013-01-16 08:10:42,2013-01-18 04:32:26,13000786CF10A,2013-01-16,,28,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,2,Low,2013-02-13,2013-01-16,2013-01-18,4,0,1143,0,0 +7843,edgar ceron,edgar,ceron,2013-09-04,Male,1979-08-06,36,25 - 45,Caucasian,0,1,0,0,0,0,2013-09-04 06:00:32,2013-09-05 05:33:52,13016957MM10A,2013-09-04,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-04,2013-09-05,0,1,940,0,0 +7846,joel dominguez,joel,dominguez,2013-02-10,Male,1991-04-02,25,25 - 45,Hispanic,0,6,0,0,3,-1,2013-02-09 11:26:36,2013-02-10 07:48:25,13002032CF10A,2013-02-09,,1,F,Possession of Cocaine,1,14006224CF10A,(F3),,2014-05-04,Possession of Cocaine,,,,1,15009919CF10A,(M1),2015-08-01,Discharge Firearm in Public/Res,Risk of Recidivism,6,Medium,2013-02-10,Risk of Violence,4,Low,2013-02-10,2016-02-01,2016-04-19,3,0,448,1,1 +7847,jack jackson,jack,jackson,2014-02-06,Male,1985-11-05,30,25 - 45,Caucasian,0,1,0,0,0,0,2014-02-06 04:06:20,2014-02-06 08:57:25,14004841MU10A,2014-02-06,,0,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,2,Low,2014-02-06,2014-02-06,2014-02-06,0,0,785,0,0 +7848,caitlin carter,caitlin,carter,2013-05-25,Female,1994-10-13,21,Less than 25,Caucasian,0,5,0,0,0,-1,2013-05-24 12:37:03,2013-05-25 08:02:40,13007442CF10A,2013-05-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-25,Risk of Violence,6,Medium,2013-05-25,2013-10-17,2013-12-21,0,0,145,0,0 +7850,vincente delgado,vincente,delgado,2014-06-06,Male,1990-07-20,25,25 - 45,Hispanic,0,2,1,1,2,-1,2014-06-05 07:13:41,2014-06-06 02:37:16,14007814CF10A,2014-06-05,,1,F,Carrying Concealed Firearm,1,14074373TC40A,(M2),,2014-10-31,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-06-06,Risk of Violence,3,Low,2014-06-06,2014-06-05,2014-06-06,2,0,147,1,1 +7851,valentin del-carmen,valentin,del-carmen,2013-01-13,Male,1978-03-10,38,25 - 45,Hispanic,0,2,0,0,0,0,2013-01-13 03:01:20,2013-01-14 08:35:03,13000580CF10A,2013-01-13,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-13,Risk of Violence,2,Low,2013-01-13,2013-01-13,2013-01-14,0,1,1174,0,0 +7852,david hurtado,david,hurtado,2013-04-12,Male,1987-05-01,28,25 - 45,Caucasian,0,5,0,0,3,-62,2013-02-09 03:11:07,2013-02-09 10:19:58,12026283MM10A,,2013-02-09,62,M,arrest case no charge,1,14086152TC30A,(M1),151,2014-10-16,Opert With Susp DL 2nd Offens,2015-03-16,2015-03-17,,0,,,,,Risk of Recidivism,5,Medium,2013-04-12,Risk of Violence,2,Low,2013-04-12,2014-07-25,2014-07-26,3,0,469,0,1 +7853,muntaz majeed,muntaz,majeed,2014-01-13,Male,1974-09-26,41,25 - 45,African-American,0,2,0,0,3,-1,2014-01-12 03:45:52,2014-01-14 10:17:54,14000572MM10A,2014-01-12,,1,M,Driving Under The Influence,1,15057768TC40A,(M2),,2015-10-06,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-12,2014-01-14,3,1,631,1,1 +7856,angie morales,angie,morales,2013-02-07,Female,1994-04-19,22,Less than 25,Caucasian,0,7,0,0,0,-2,2013-02-05 09:33:50,2013-02-06 10:01:51,13001795CF10A,2013-02-05,,2,F,Del Cannabis For Consideration,1,14010283CF10A,(F3),0,2014-07-28,Possession of Cocaine,2014-07-28,2014-07-29,,0,,,,,Risk of Recidivism,7,Medium,2013-02-07,Risk of Violence,6,Medium,2013-02-07,2013-10-06,2013-10-09,0,0,241,0,1 +7859,edward greenfield,edward,greenfield,2014-08-29,Male,1986-05-30,29,25 - 45,Other,0,6,0,0,8,-1,2014-08-28 09:55:48,2014-08-29 08:18:56,14011759CF10A,2014-08-28,,1,F,Felony Petit Theft,1,15021769TC20A,(M2),,2015-03-27,Driving License Suspended,,,,1,15006304CF10A,(F2),2015-05-14,Robbery / No Weapon,Risk of Recidivism,6,Medium,2014-08-29,Risk of Violence,6,Medium,2014-08-29,2014-10-20,2014-10-21,8,0,52,0,1 +7862,james zevolo,james,zevolo,2013-03-16,Male,1994-12-20,21,Less than 25,Hispanic,0,3,0,0,0,-1,2013-03-15 04:47:34,2013-03-16 01:38:46,13003810CF10A,2013-03-15,,1,F,Poss Unlaw Issue Driver Licenc,1,14000770MM30A,(M1),,2014-04-13,Theft/To Deprive,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-16,Risk of Violence,6,Medium,2013-03-16,2013-03-15,2013-03-16,0,0,393,1,1 +7864,kimberly ginnie,kimberly,ginnie,2013-02-15,Female,1975-10-05,40,25 - 45,African-American,0,1,0,0,2,-1,2013-02-14 09:23:00,2013-02-15 12:12:17,13002321CF10A,2013-02-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-15,Risk of Violence,1,Low,2013-02-15,2013-02-14,2013-02-15,2,0,1141,0,0 +7865,fred mcclain,fred,mcclain,2013-09-05,Male,1968-06-29,47,Greater than 45,African-American,0,6,0,0,12,-98,2013-05-30 12:28:13,2013-09-05 11:31:06,13007666CF10A,,2013-05-29,99,F,arrest case no charge,1,14004990MM10A,(M1),0,2014-03-22,Unlaw Use False Name/Identity,2014-03-22,2014-07-31,,0,,,,,Risk of Recidivism,6,Medium,2013-09-05,Risk of Violence,3,Low,2013-09-05,2014-03-22,2014-07-31,12,0,198,1,1 +7867,anthony kiffin,anthony,kiffin,2013-09-11,Male,1978-09-19,37,25 - 45,African-American,0,3,0,0,2,-13,2013-08-29 05:03:55,2013-09-05 12:21:23,13012230CF10A,2013-08-29,,13,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-11,Risk of Violence,2,Low,2013-09-11,2013-08-29,2013-09-05,2,0,933,0,0 +7868,taneka dean,taneka,dean,2013-05-20,Female,1978-09-08,37,25 - 45,African-American,0,3,0,0,0,-3,2013-05-17 09:06:49,2013-05-18 08:14:43,13007071CF10A,2013-05-17,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-20,Risk of Violence,2,Low,2013-05-20,2013-05-17,2013-05-18,0,0,1047,0,0 +7869,jasmine trump,jasmine,trump,2013-09-05,Female,1993-01-04,23,Less than 25,African-American,0,5,0,0,2,-2,2013-09-03 04:05:37,2013-09-04 08:26:49,13010159CF10A,,2013-09-03,2,F,arrest case no charge,1,14007234MM10A,(M1),0,2014-05-01,Battery,2014-05-01,2014-05-31,,1,14007234MM10A,(M1),2014-05-01,Battery,Risk of Recidivism,5,Medium,2013-09-05,Risk of Violence,5,Medium,2013-09-05,2014-05-01,2014-05-31,2,0,238,1,1 +7870,raymond nelson,raymond,nelson,2013-03-21,Male,1960-06-16,55,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-03-20 04:29:14,2013-03-21 02:12:17,13004028CF10A,2013-03-20,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-03-20,2013-03-21,0,0,1107,0,0 +7871,james zebo,james,zebo,2014-11-02,Male,1996-05-05,19,Less than 25,African-American,0,4,0,0,1,-1,2014-11-01 11:47:12,2014-11-05 10:52:42,14014683CF10A,2014-11-01,,1,F,Dealing in Stolen Property,1,15003695MM10A,(M1),0,2015-03-30,Battery,2015-03-30,2015-04-08,,1,15003695MM10A,(M1),2015-03-30,Battery,Risk of Recidivism,4,Low,2014-11-02,Risk of Violence,7,Medium,2014-11-02,2015-03-30,2015-04-08,1,3,148,1,1 +7874,trevis martin,trevis,martin,2014-01-06,Male,1989-12-04,26,25 - 45,Caucasian,0,2,0,0,1,0,2014-01-06 01:38:41,2014-01-07 03:10:22,11016118CF10A,,2014-01-06,0,F,arrest case no charge,1,14028645TC10A,(M2),249,2014-07-21,Operating W/O Valid License,2015-03-27,2015-03-28,,0,,,,,Risk of Recidivism,2,Low,2014-01-06,Risk of Violence,3,Low,2014-01-06,2014-01-06,2014-01-07,1,1,196,1,1 +7875,myron berry,myron,berry,2013-03-31,Male,1991-03-29,25,25 - 45,African-American,0,9,0,0,4,,,,13004558CF10A,2013-03-30,,1,F,Grand Theft (Motor Vehicle),1,14014768CF10A,(F3),,2014-11-03,Poss Similitude of Drivers Lic,,,,0,,,,,Risk of Recidivism,9,High,2013-03-31,Risk of Violence,8,High,2013-03-31,2014-01-14,2014-08-11,4,0,289,0,1 +7881,rashad bogans,rashad,bogans,2013-04-26,Male,1990-10-13,25,25 - 45,African-American,0,3,0,0,0,-1,2013-04-25 06:46:34,2013-04-26 07:16:35,13007997MM10A,2013-04-25,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2013-07-23,2013-07-26,0,0,88,0,0 +7882,karen bryden,karen,bryden,2013-07-29,Male,1967-05-31,48,Greater than 45,Caucasian,0,2,0,0,3,621,2015-04-11 01:28:32,2015-04-17 10:05:30,13010433CF10A,2013-07-25,,4,F,Possession Of Heroin,1,16002503MM10A,(M1),0,2016-03-15,Trespass Other Struct/Convey,2016-03-15,2016-03-16,,0,,,,,Risk of Recidivism,2,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2015-04-11,2015-04-17,3,0,621,0,0 +7884,mark demeo,mark,demeo,2014-12-23,Male,1976-08-13,39,25 - 45,Caucasian,0,2,0,0,17,-1,2014-12-22 03:50:40,2015-01-26 09:27:55,14016934CF10A,2014-12-22,,1,F,Poss Pyrrolidinovalerophenone,1,15002126CF10A,(M1),0,2015-02-15,Possess Drug Paraphernalia,2015-02-15,2015-03-24,,0,,,,,Risk of Recidivism,2,Low,2014-12-23,Risk of Violence,1,Low,2014-12-23,2015-02-15,2015-03-24,17,34,54,1,1 +7889,eduardo cisneros,eduardo,cisneros,2013-11-10,Male,1979-08-23,36,25 - 45,Caucasian,0,3,0,0,0,-1,2013-11-09 09:35:08,2013-11-10 02:20:46,13015628CF10A,2013-11-09,,1,F,Grand Theft in the 3rd Degree,1,14066043TC20A,(M2),57,2014-08-28,No/Improper Drivers License,2014-10-24,2014-10-24,,0,,,,,Risk of Recidivism,3,Low,2013-11-10,Risk of Violence,5,Medium,2013-11-10,2015-02-24,2020-01-01,0,0,291,1,1 +7890,eric barker,eric,barker,2013-05-26,Male,1989-06-21,26,25 - 45,African-American,0,8,0,0,6,0,2013-05-26 03:26:17,2013-06-05 10:17:58,13021590TC10A,2013-05-26,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-26,Risk of Violence,6,Medium,2013-05-26,2014-01-14,2014-01-23,6,10,233,0,0 +7891,james smith,james,smith,2014-11-02,Male,1964-09-06,51,Greater than 45,African-American,0,1,0,0,8,-1,2014-11-01 05:57:13,2014-11-04 08:54:12,14014689CF10A,2014-11-01,,1,M,Disorderly Conduct,1,16001922MM10A,(M1),0,2016-02-29,Tresspass in Struct/Convey Occupy,2016-02-29,2016-03-01,,0,,,,,Risk of Recidivism,1,Low,2014-11-02,Risk of Violence,1,Low,2014-11-02,2016-02-29,2016-03-01,8,2,484,1,1 +7894,gregory calix,gregory,calix,2013-11-19,Male,1995-10-09,20,Less than 25,African-American,0,8,0,0,0,-1,2013-11-18 07:33:48,2013-12-18 09:34:42,13016012CF10A,2013-11-18,,1,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-19,Risk of Violence,8,High,2013-11-19,2013-11-18,2013-12-18,0,29,864,0,0 +7895,melissa slason,melissa,slason,2013-02-11,Female,1972-08-27,43,25 - 45,Caucasian,0,1,0,0,0,-1,2013-02-10 02:39:21,2013-02-11 04:05:45,13002962MM10A,2013-02-10,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-11,0,0,1145,0,0 +7896,jashon gillis,jashon,gillis,2014-07-04,Male,1993-06-03,22,Less than 25,African-American,0,7,0,0,0,-1,2014-07-03 09:30:39,2014-08-05 07:51:46,14009174CF10A,2014-07-03,,1,F,Poss Pyrrolidinovalerophenone,1,14013106MM10A,(M1),0,2014-09-01,,2014-09-01,2014-09-02,,0,,,,,Risk of Recidivism,7,Medium,2014-07-04,Risk of Violence,6,Medium,2014-07-04,2014-09-01,2014-09-02,0,32,59,1,1 +7897,christine leblanc,christine,leblanc,2014-12-25,Female,1991-12-23,24,Less than 25,Caucasian,0,5,0,0,0,-1,2014-12-24 10:38:55,2014-12-25 01:06:56,14018027MM10A,2014-12-24,,1,M,Battery,1,15028481MU10A,(M2),0,2015-10-15,Lve/Scen/Acc/Veh/Prop/Damage,2015-10-15,2015-10-16,,0,,,,,Risk of Recidivism,5,Medium,2014-12-25,Risk of Violence,3,Low,2014-12-25,2015-10-15,2015-10-16,0,0,294,1,1 +7898,clifford hyman,clifford,hyman,2013-08-17,Male,1980-08-12,35,25 - 45,African-American,0,3,0,0,2,-1,2013-08-16 05:44:10,2013-08-17 07:39:31,13011506CF10A,2013-08-16,,1,F,Trespassing/Construction Site,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-17,Risk of Violence,2,Low,2013-08-17,2013-08-16,2013-08-17,2,0,958,0,0 +7900,kevin turnquest,kevin,turnquest,2013-01-16,Male,1958-06-29,57,Greater than 45,African-American,0,9,0,0,12,70,2013-03-27 12:52:38,2013-06-13 10:32:00,13000713CF10A,,2013-01-15,1,F,arrest case no charge,1,13014874CF10A,(F2),0,2013-10-24,Burglary Dwelling Occupied,2013-10-24,2013-12-20,,0,,,,,Risk of Recidivism,9,High,2013-01-16,Risk of Violence,4,Low,2013-01-16,2013-03-27,2013-06-13,12,0,70,0,1 +7901,roberto teruggi,roberto,teruggi,2013-08-27,Male,1990-07-13,25,25 - 45,Caucasian,0,7,0,0,6,39,2013-10-05 11:29:40,2013-11-29 01:08:45,13012730MM10A,2013-07-03,,55,M,Battery,1,14001206MM40A,(M1),,2014-02-28,Possess Cannabis/20 Grams Or Less,,,,1,14003676CF10A,(F3),2014-03-15,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-08-27,Risk of Violence,5,Medium,2013-08-27,2013-10-05,2013-11-29,6,0,39,0,1 +7902,thomas carter,thomas,carter,2013-05-26,Male,1961-01-17,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-25 05:28:09,2013-05-26 08:34:54,13010065MM10A,2013-05-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-26,0,0,1041,0,0 +7903,mary oneal,mary,oneal,2013-03-21,Female,1964-02-08,52,Greater than 45,African-American,0,1,0,0,0,0,2013-03-21 12:52:08,2013-03-21 06:13:19,13005478MM10A,2013-03-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-03-21,2013-03-21,0,0,1107,0,0 +7904,zezelda wright,zezelda,wright,2013-09-06,Female,1982-05-25,33,25 - 45,African-American,0,9,0,0,0,-1,2013-09-05 03:46:16,2013-09-12 08:10:49,13016988MM10A,2013-09-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-06,Risk of Violence,6,Medium,2013-09-06,2013-09-05,2013-09-12,0,6,938,0,0 +7905,teron sterling,teron,sterling,2013-01-25,Male,1985-10-02,30,25 - 45,Other,0,1,0,0,0,-1,2013-01-24 01:38:57,2013-01-25 07:33:52,13001153CF10A,,2013-01-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-25,Risk of Violence,2,Low,2013-01-25,2013-01-24,2013-01-25,0,0,1162,0,0 +7906,joshua brey,joshua,brey,2014-07-31,Male,1983-11-09,32,25 - 45,African-American,0,5,0,0,3,-1,2014-07-30 01:39:00,2014-09-05 08:35:07,14010391CF10A,,2014-07-30,1,F,arrest case no charge,1,14001503MM30A,(M2),22,2014-09-17,Petit Theft,2014-10-09,2014-10-10,,0,,,,,Risk of Recidivism,5,Medium,2014-07-31,Risk of Violence,2,Low,2014-07-31,2014-07-30,2014-09-05,3,36,48,1,1 +7908,randy jewel,randy,jewel,2014-09-21,Male,1996-02-13,20,Less than 25,African-American,1,9,2,0,5,-1,2014-09-20 04:22:30,2014-09-22 04:06:35,14012744CF10A,2014-09-20,,1,F,Tampering With Physical Evidence,1,14018154MM10A,(M1),0,2014-12-29,Petit Theft $100- $300,2014-12-29,2015-01-21,,0,,,,,Risk of Recidivism,9,High,2014-09-21,Risk of Violence,9,High,2014-09-21,2014-12-29,2015-01-21,5,1,99,1,1 +7909,joseph gray,joseph,gray,2014-03-02,Male,1949-04-19,67,Greater than 45,African-American,0,4,0,0,8,-1,2014-03-01 09:29:59,2014-03-03 02:05:54,14002922CF10A,2014-03-01,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-02,Risk of Violence,2,Low,2014-03-02,2014-03-01,2014-03-03,8,1,761,0,0 +7910,addlin etienne,addlin,etienne,2013-10-27,Male,1984-09-26,31,25 - 45,African-American,0,4,0,0,7,-1,2013-10-26 05:44:07,2013-10-27 08:13:55,13020316MM10A,2013-10-26,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-27,Risk of Violence,2,Low,2013-10-27,2013-10-26,2013-10-27,7,0,887,0,0 +7912,brandyn martinez,brandyn,martinez,2014-07-23,Male,1995-03-28,21,Less than 25,Caucasian,0,4,0,0,0,-1,2014-07-22 12:50:30,2014-08-20 11:15:52,14010016CF10A,2014-07-22,,1,F,Grand Theft (Motor Vehicle),1,15004925MM10A,(M1),0,2015-05-01,Petit Theft $100- $300,2015-05-01,2015-05-19,,0,,,,,Risk of Recidivism,4,Low,2014-07-23,Risk of Violence,6,Medium,2014-07-23,2015-05-01,2015-05-19,0,28,282,1,1 +7913,mark montgomery,mark,montgomery,2013-03-24,Male,1985-11-03,30,25 - 45,African-American,0,8,0,0,4,-1,2013-03-23 01:32:34,2013-03-28 09:37:27,13005696MM10A,2013-03-23,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-24,Risk of Violence,4,Low,2013-03-24,2013-03-23,2013-03-28,4,4,1104,0,0 +7914,john davis,john,davis,2013-03-11,Male,1960-06-25,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-10 12:30:14,2013-03-11 02:00:14,13004813MM10A,2013-03-09,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-06-03,2013-06-19,0,0,84,0,0 +7915,kyle scott,kyle,scott,2013-03-01,Male,1991-03-23,25,25 - 45,African-American,0,2,0,0,0,0,2013-03-01 03:57:35,2013-03-02 05:35:14,13003139CF10A,2013-03-01,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-01,Risk of Violence,3,Low,2013-03-01,2013-03-01,2013-03-02,0,1,1127,0,0 +7916,ronel lamour,ronel,lamour,2013-02-12,Male,1990-10-07,25,25 - 45,African-American,0,7,0,0,0,0,2013-02-12 01:53:34,2013-02-12 09:28:20,13002112CF10A,2013-02-11,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-12,Risk of Violence,5,Medium,2013-02-12,2013-04-10,2013-04-11,0,0,57,0,0 +7917,gurden cunningham,gurden,cunningham,2013-06-26,Male,1969-03-18,47,Greater than 45,African-American,0,8,0,0,17,-55,2013-05-02 01:02:39,2013-05-02 07:40:25,13006244CF10A,2013-05-01,,56,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-06-26,Risk of Violence,2,Low,2013-06-26,2015-08-18,2015-08-19,17,0,783,0,0 +7919,jamar howard,jamar,howard,2013-05-25,Male,1988-08-11,27,25 - 45,African-American,0,8,0,0,10,0,2013-05-25 04:58:47,2013-05-26 08:32:44,13002564CF10A,,2013-05-25,0,F,arrest case no charge,1,13042735TC10A,(M2),44,2013-10-21,Operating W/O Valid License,2013-12-04,2013-12-24,,0,,,,,Risk of Recidivism,8,High,2013-05-25,Risk of Violence,8,High,2013-05-25,2013-05-25,2013-05-26,10,1,149,1,1 +7920,dominique williams,dominique,williams,2013-10-30,Male,1993-08-05,22,Less than 25,African-American,0,4,0,0,0,0,2013-10-30 02:46:16,2013-10-30 09:15:53,13015136CF10A,2013-10-29,,1,F,Possess w/I/Utter Forged Bills,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-30,Risk of Violence,5,Medium,2013-10-30,2013-10-30,2013-10-30,0,0,884,0,0 +7922,thony ferdinand,thony,ferdinand,2013-03-02,Male,1978-05-21,37,25 - 45,African-American,0,6,0,0,8,0,2013-03-02 01:21:18,2013-03-03 04:34:08,13003147CF10A,,2013-03-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-02,Risk of Violence,4,Low,2013-03-02,2013-09-12,2013-11-13,8,1,194,0,0 +7923,john dudas,john,dudas,2013-02-06,Male,1948-03-23,68,Greater than 45,Caucasian,0,7,0,0,7,-1,2013-02-05 05:11:31,2013-02-10 10:00:25,13001782CF10A,2013-02-04,,2,F,Aggravated Assault W/dead Weap,1,14007384MM10A,(M1),0,2014-05-04,Battery,2014-05-04,2014-05-20,,1,14007384MM10A,(M1),2014-05-04,Battery,Risk of Recidivism,7,Medium,2013-02-06,Risk of Violence,6,Medium,2013-02-06,2014-05-04,2014-05-20,7,4,452,1,1 +7928,garry letsky,garry,letsky,2013-09-08,Male,1979-03-17,37,25 - 45,Caucasian,0,6,0,0,0,0,2013-09-08 04:52:48,2013-09-09 02:05:47,13012686CF10A,2013-09-07,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-08,Risk of Violence,3,Low,2013-09-08,2013-09-08,2013-09-09,0,1,936,0,0 +7929,nioka myrie,nioka,myrie,2013-11-20,Female,1974-04-08,42,25 - 45,African-American,0,1,0,0,1,-49,2013-10-02 03:57:20,2013-10-24 02:05:41,13013830CF10A,2013-10-02,,49,F,Grand Theft on 65 Yr or Older,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-10-02,2013-10-24,1,0,863,0,0 +7930,rodney alvarez,rodney,alvarez,2014-01-24,Male,1993-05-02,22,Less than 25,Caucasian,0,5,0,0,5,-1,2014-01-23 09:18:58,2014-01-24 01:28:28,14001266MM10A,2014-01-23,,1,M,Battery,1,14000768MM40A,(M1),202,2014-02-17,Possess Cannabis/20 Grams Or Less,2014-09-07,2014-09-07,,0,,,,,Risk of Recidivism,5,Medium,2014-01-24,Risk of Violence,4,Low,2014-01-24,2015-01-03,2015-01-09,5,0,24,1,1 +7931,vantonio wilson,vantonio,wilson,2014-03-09,Male,1985-09-13,30,25 - 45,African-American,0,2,0,0,4,-1,2014-03-08 06:53:55,2014-03-09 09:49:38,14004041MM10A,2014-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-09,Risk of Violence,2,Low,2014-03-09,2014-03-08,2014-03-09,4,0,754,0,0 +7932,clinton marshall,clinton,marshall,2013-06-17,Male,1982-03-04,34,25 - 45,African-American,0,2,0,0,1,-3,2013-06-14 07:49:13,2013-06-16 12:55:15,13008453CF10A,2013-06-14,,3,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-17,Risk of Violence,2,Low,2013-06-17,2015-01-10,2015-01-14,1,0,572,0,0 +7935,woodson tarin,woodson,tarin,2013-04-15,Male,1988-03-13,28,25 - 45,Other,0,1,0,0,0,-1,2013-04-14 08:51:52,2013-04-16 11:03:36,13007202MM10A,2013-04-14,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,2,Low,2013-04-15,2013-04-14,2013-04-16,0,1,1082,0,0 +7936,brian marcantel,brian,marcantel,2014-07-08,Male,1978-08-17,37,25 - 45,Caucasian,0,5,0,0,4,-18,2014-06-20 08:59:53,2014-06-21 07:10:18,14009688MM10A,2014-06-20,,18,M,Possess Cannabis/20 Grams Or Less,1,16000237CF10A,(F3),0,2016-01-06,Depriv LEO of Protect/Communic,2016-01-06,2016-03-28,,1,16000237CF10A,(F3),2016-01-06,Aggravated Assault W/Dead Weap,Risk of Recidivism,5,Medium,2014-07-08,Risk of Violence,5,Medium,2014-07-08,2016-01-06,2016-03-28,4,0,547,1,1 +7942,nicola dixon,nicola,dixon,2013-04-23,Female,1975-04-18,41,25 - 45,African-American,0,8,0,0,8,0,2013-04-23 02:38:34,2013-06-27 09:15:25,13003663CF10A,,2013-04-23,0,F,arrest case no charge,1,13019691MM10A,(M1),0,2013-10-17,Petit Theft $100- $300,2013-10-17,2014-04-11,,0,,,,,Risk of Recidivism,8,High,2013-04-23,Risk of Violence,4,Low,2013-04-23,2013-10-17,2014-04-11,8,65,177,1,1 +7943,carlos verne,carlos,verne,2014-03-07,Male,1963-05-22,52,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-06 11:57:06,2014-03-07 08:44:57,14003925MM10A,2014-03-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-07,Risk of Violence,1,Low,2014-03-07,2014-03-06,2014-03-07,0,0,756,0,0 +7944,michael ryan,michael,ryan,2013-04-09,Male,1979-06-25,36,25 - 45,Caucasian,0,1,0,0,2,-17,2013-03-23 03:00:12,2013-03-24 02:12:19,13005702MM10A,2013-03-23,,17,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-03-23,2013-03-24,2,0,1088,0,0 +7945,ryan butler,ryan,butler,2013-04-01,Male,1989-05-24,26,25 - 45,Caucasian,0,2,0,0,2,-3,2013-03-29 01:48:34,2013-03-30 08:12:01,13004552CF10A,2013-03-29,,3,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-01,Risk of Violence,3,Low,2013-04-01,2013-03-29,2013-03-30,2,0,1096,0,0 +7946,joseph cataldo,joseph,cataldo,2013-01-23,Male,1991-10-08,24,Less than 25,Caucasian,0,2,0,0,0,0,2013-01-23 03:55:12,2013-02-07 08:39:52,13001092CF10A,2013-01-23,,0,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-23,Risk of Violence,3,Low,2013-01-23,2013-01-23,2013-02-07,0,15,1164,0,0 +7948,terrell hall,terrell,hall,2014-02-12,Male,1989-01-06,27,25 - 45,African-American,0,6,0,0,0,-1,2014-02-11 03:38:18,2014-02-13 04:01:59,14001955CF10A,2014-02-11,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-12,Risk of Violence,7,Medium,2014-02-12,2014-02-11,2014-02-13,0,1,779,0,0 +7949,radica singh,radica,singh,2013-12-27,Female,1979-03-28,37,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-27 03:37:41,2013-12-28 01:23:50,13023886MM10A,2013-12-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,1,Low,2013-12-27,2013-12-27,2013-12-28,0,1,826,0,0 +7952,keon james,keon,james,2013-01-04,Male,1984-11-10,31,25 - 45,African-American,0,6,0,0,1,650,2014-10-16 12:27:52,2014-10-23 02:44:46,12016300CF10A,,2012-12-13,22,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-04,Risk of Violence,6,Medium,2013-01-04,2014-10-16,2014-10-23,1,0,650,0,0 +7953,ricardo calderon,ricardo,calderon,2013-06-19,Male,1979-01-23,37,25 - 45,Hispanic,0,3,0,0,1,-1,2013-06-18 03:54:18,2013-06-18 05:45:50,13008601CF10A,2013-06-18,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-19,Risk of Violence,2,Low,2013-06-19,2013-06-18,2013-06-18,1,0,1017,0,0 +7955,dominique white,dominique,white,2013-09-30,Male,1992-08-27,23,Less than 25,African-American,0,7,0,0,3,0,2013-09-30 06:02:37,2013-11-12 09:04:33,13013692CF10A,2013-09-30,,0,F,Felony Battery (Dom Strang),1,15006413CF10A,(M1),0,2015-05-17,Unlaw Use False Name/Identity,2015-05-17,2015-08-17,,0,,,,,Risk of Recidivism,7,Medium,2013-09-30,Risk of Violence,5,Medium,2013-09-30,2015-05-17,2015-08-17,3,43,594,1,1 +7958,thomas blauman,thomas,blauman,2013-04-21,Male,1957-08-11,58,Greater than 45,Caucasian,0,2,0,0,5,-1,2013-04-20 12:49:59,2013-04-23 07:33:14,13007654MM10A,2013-04-20,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-21,Risk of Violence,1,Low,2013-04-21,2013-11-28,2013-12-12,5,2,221,0,0 +7960,francesca larosa,francesca,larosa,2013-02-20,Female,1953-05-27,62,Greater than 45,Caucasian,0,1,0,0,1,-2,2013-02-18 08:43:36,2013-02-19 02:29:33,13003460MM10A,2013-02-18,,2,M,Driving Under The Influence,1,13020435MM10A,(M2),,2013-08-14,Petit Theft,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-18,2013-02-19,1,0,175,1,1 +7962,bernadette fleury,bernadette,fleury,2014-01-02,Female,1974-04-28,41,25 - 45,African-American,0,1,0,0,0,0,2014-01-02 12:18:04,2014-01-03 02:25:43,14000088CF10A,2014-01-01,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2014-01-02,2014-01-03,0,1,820,0,0 +7963,alan burga,alan,burga,2013-03-12,Male,1983-01-17,33,25 - 45,Hispanic,0,1,0,0,0,-1,2013-03-11 04:18:14,2013-03-12 01:14:05,13004888MM10A,2013-03-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-11,2013-03-12,0,0,1116,0,0 +7964,wanglee george,wanglee,george,2014-03-03,Male,1983-01-08,33,25 - 45,African-American,0,1,0,0,0,0,2014-03-03 03:25:46,2014-03-03 08:38:42,14003655MM10A,2014-03-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-03,2014-03-03,0,0,760,0,0 +7966,macayose vermilus,macayose,vermilus,2013-02-23,Male,1983-03-12,33,25 - 45,African-American,4,10,0,0,12,-1,2013-02-22 08:34:12,2013-02-23 08:56:42,13002737CF10A,2013-02-22,,1,F,Deliver Cocaine,1,14001625CF10A,(F3),1,2014-02-05,Possession of Cocaine,2014-02-06,2015-01-22,,0,,,,,Risk of Recidivism,10,High,2013-02-23,Risk of Violence,7,Medium,2013-02-23,2015-01-22,2020-01-01,12,0,347,1,1 +7968,darrell kelly,darrell,kelly,2013-09-05,Male,1975-01-19,41,25 - 45,African-American,0,6,0,0,14,0,2013-09-05 02:43:41,2013-09-05 07:37:30,13012530CF10A,2013-09-05,,0,F,Possession of Cocaine,1,13014073CF10A,(F3),0,2013-10-07,Driving While License Revoked,2013-10-07,2013-10-08,,0,,,,,Risk of Recidivism,6,Medium,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-10-07,2013-10-08,14,0,32,1,1 +7969,david sanchez,david,sanchez,2013-05-10,Male,1993-11-16,22,Less than 25,Hispanic,0,3,0,0,0,-1,2013-05-09 01:18:03,2013-05-09 07:50:08,13006609CF10A,2013-05-09,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-10,Risk of Violence,5,Medium,2013-05-10,2013-05-09,2013-05-09,0,0,1057,0,0 +7971,james upp,james,upp,2013-03-09,Male,1989-10-05,26,25 - 45,Caucasian,0,5,0,0,3,-1,2013-03-08 10:32:50,2013-03-09 08:07:02,13003463CF10A,2013-03-08,,1,F,Possession of Cannabis,1,13009759MM10A,(M1),0,2013-04-28,Resist/Obstruct W/O Violence,2013-04-28,2013-06-05,,0,,,,,Risk of Recidivism,5,Medium,2013-03-09,Risk of Violence,3,Low,2013-03-09,2013-04-28,2013-06-05,3,0,50,1,1 +7972,erica johnson,erica,johnson,2013-09-30,Female,1982-06-23,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-09-29 09:25:30,2013-09-30 09:59:37,13013661CF10A,2013-09-29,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,0,0,914,0,0 +7973,antwan johnson,antwan,johnson,2013-05-29,Male,1990-12-28,25,25 - 45,African-American,0,6,0,0,0,-1,2013-05-28 08:19:30,2013-05-29 02:05:25,13010250MM10A,2013-05-28,,1,M,False Info LEO During Invest,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-29,Risk of Violence,5,Medium,2013-05-29,2013-05-28,2013-05-29,0,0,1038,0,0 +7974,najeh davenport,najeh,davenport,2013-03-26,Male,1979-02-08,37,25 - 45,African-American,0,1,0,0,0,-1,2013-03-25 07:15:23,2013-03-26 07:49:33,13005852MM10A,2013-03-25,,1,M,Battery,1,13014172CF10A,(M2),0,2013-10-09,Burglary Conveyance Occupied,2013-10-09,2013-10-09,,1,13014172CF10A,(M1),2013-10-09,Battery,Risk of Recidivism,1,Low,2013-03-26,Risk of Violence,1,Low,2013-03-26,2013-10-09,2013-10-09,0,0,197,0,1 +7975,bradley mammarelli,bradley,mammarelli,2014-02-22,Male,1992-05-19,23,Less than 25,Caucasian,8,10,2,0,11,-1,2014-02-21 11:26:19,2014-02-25 09:15:59,14002472CF10A,2014-02-21,,1,F,Possession of Cannabis,1,15004018MM10A,(M2),0,2015-04-07,Prowling/Loitering,2015-04-07,2015-04-07,,0,,,,,Risk of Recidivism,10,High,2014-02-22,Risk of Violence,9,High,2014-02-22,2015-04-07,2015-04-07,11,3,409,0,1 +7976,brant troppello,brant,troppello,2013-07-17,Male,1979-01-22,37,25 - 45,Caucasian,0,8,0,0,8,-63,2013-05-15 02:43:13,2013-05-15 09:34:36,13006963CF10A,2013-05-14,,64,F,Aggravated Assault w/Firearm,1,14010545CF10A,(F3),0,2014-08-02,Possession Of Alprazolam,2014-08-02,2014-08-03,,0,,,,,Risk of Recidivism,8,High,2013-07-17,Risk of Violence,2,Low,2013-07-17,2014-08-02,2014-08-03,8,0,381,1,1 +7977,jason grant,jason,grant,2013-08-18,Male,1994-11-06,21,Less than 25,African-American,0,9,0,0,0,-1,2013-08-17 05:45:53,2013-08-18 06:27:56,13015612MM10A,2013-08-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-18,Risk of Violence,9,High,2013-08-18,2013-08-17,2013-08-18,0,0,957,0,0 +7979,robert hopkins,robert,hopkins,2014-05-14,Male,1970-06-01,45,Greater than 45,Caucasian,0,6,0,0,21,-1,2014-05-13 03:13:27,2014-05-14 10:38:42,14006669CF10A,2014-05-13,,1,F,Grand Theft in the 3rd Degree,1,14007361CF10A,(F3),0,2014-05-27,Grand Theft in the 3rd Degree,2014-05-27,2015-01-27,,0,,,,,Risk of Recidivism,6,Medium,2014-05-14,Risk of Violence,1,Low,2014-05-14,2014-05-27,2015-01-27,21,0,13,1,1 +7981,christopher kirby,christopher,kirby,2014-01-01,Male,1979-03-18,37,25 - 45,Caucasian,1,7,6,0,13,-1,2013-12-31 04:20:51,2014-01-01 09:05:13,14000024CF10A,2013-12-31,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-01,Risk of Violence,3,Low,2014-01-01,2013-12-31,2014-01-01,13,0,821,0,0 +7983,jamal cook,jamal,cook,2013-05-21,Male,1991-12-09,24,Less than 25,African-American,0,4,0,0,2,-1,2013-05-20 02:27:24,2013-05-24 02:22:59,13009722MM10A,2013-05-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-21,Risk of Violence,7,Medium,2013-05-21,2013-08-09,2013-10-04,2,3,80,0,0 +7985,saleem bligen,saleem,bligen,2013-12-16,Male,1980-12-25,35,25 - 45,African-American,0,4,0,0,0,-1,2013-12-15 09:42:58,2013-12-17 08:38:26,13017316CF10A,2013-12-15,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-16,Risk of Violence,3,Low,2013-12-16,2013-12-15,2013-12-17,0,1,837,0,0 +7986,mickeal brooks,mickeal,brooks,2014-07-12,Female,1993-07-21,22,Less than 25,African-American,0,4,0,0,0,-1,2014-07-11 07:52:32,2014-07-18 06:08:53,14009516CF10A,2014-07-11,,1,F,Aggrav Battery w/Deadly Weapon,1,16001131MM10A,(M1),1,2016-02-02,Unlaw Use False Name/Identity,2016-02-03,2016-02-03,,0,,,,,Risk of Recidivism,4,Low,2014-07-12,Risk of Violence,5,Medium,2014-07-12,2014-07-11,2014-07-18,0,6,570,1,1 +7987,travis fischer,travis,fischer,2013-01-15,Male,1986-10-29,29,25 - 45,Caucasian,4,9,1,0,10,-1,2013-01-14 09:30:03,2013-01-17 03:17:08,13000624CF10A,2013-01-14,,1,F,Burglary Conveyance Unoccup,1,13011287CF10A,(F3),,2013-03-28,Grand Theft Firearm,,,,1,13006458CF10A,(F2),2013-05-03,Agg Battery Grt/Bod/Harm,Risk of Recidivism,9,High,2013-01-15,Risk of Violence,5,Medium,2013-01-15,2013-01-14,2013-01-17,10,2,72,1,1 +7988,herbert rozier,herbert,rozier,2013-10-19,Male,1974-08-07,41,25 - 45,African-American,2,3,0,0,6,-1,2013-10-18 12:47:10,2013-10-20 02:14:19,13014612CF10A,2013-10-18,,1,F,Felony Battery w/Prior Convict,1,15003811MM10A,(M1),0,2015-04-01,Battery,2015-04-01,2015-04-02,,1,15003811MM10A,(M1),2015-04-01,Battery,Risk of Recidivism,3,Low,2013-10-19,Risk of Violence,2,Low,2013-10-19,2013-12-02,2014-02-11,6,1,44,0,1 +7989,lorenzo gayle,lorenzo,gayle,2013-03-26,Male,1994-03-04,22,Less than 25,African-American,0,7,0,0,3,-35,2013-02-19 05:21:54,2013-02-20 06:33:18,13002538CF10A,2013-02-19,,35,F,Grand Theft in the 3rd Degree,1,14000843CF10A,(F3),0,2014-01-20,Robbery Sudd Snatch No Weapon,2014-01-20,2014-05-09,,1,14000843CF10A,(F3),2014-01-20,Robbery Sudd Snatch No Weapon,Risk of Recidivism,7,Medium,2013-03-26,Risk of Violence,9,High,2013-03-26,2014-01-20,2014-05-09,3,0,300,1,1 +7991,zico spencer,zico,spencer,2013-01-17,Male,1982-03-22,34,25 - 45,African-American,2,7,1,0,5,264,2013-10-08 12:25:23,2013-10-17 06:34:31,04012577TC10A,2004-01-26,,3279,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-17,Risk of Violence,2,Low,2013-01-17,2013-10-08,2013-10-17,5,0,264,0,0 +7992,robert sansone,robert,sansone,2014-06-17,Male,1960-10-08,55,Greater than 45,Caucasian,0,7,0,0,18,248,2015-02-20 02:39:34,2015-04-17 02:05:56,14007237CF10A,2014-05-24,,24,F,Driving While License Revoked,1,15002824MM20A,(M1),,2015-11-09,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,7,Medium,2014-06-17,Risk of Violence,3,Low,2014-06-17,2015-02-20,2015-04-17,18,0,248,0,1 +7993,sherry jackson,sherry,jackson,2014-03-18,Female,1975-11-12,40,25 - 45,Caucasian,0,6,0,0,3,-69,2014-01-08 06:13:11,2014-02-27 10:51:00,12009614CF10A,,2014-01-08,69,F,arrest case no charge,1,14018201MM10A,(M1),,2014-12-29,Unlaw Use False Name/Identity,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-18,Risk of Violence,1,Low,2014-03-18,2014-09-03,2015-01-09,3,0,286,1,1 +7994,marco ibanez,marco,ibanez,2013-12-03,Male,1979-04-15,37,25 - 45,Hispanic,0,2,0,0,8,-8,2013-11-25 04:51:52,2013-11-25 08:37:24,13016383CF10A,2013-11-25,,8,F,Possession of Morphine,1,14018357TC10A,(M1),0,2014-05-10,Opert With Susp DL 2nd Offens,2014-05-10,2014-05-15,,0,,,,,Risk of Recidivism,2,Low,2013-12-03,Risk of Violence,2,Low,2013-12-03,2014-05-10,2014-05-15,8,0,158,1,1 +7997,samuel walker,samuel,walker,2014-04-26,Male,1964-09-08,51,Greater than 45,African-American,1,8,0,0,19,-1,2014-04-25 05:26:37,2014-04-28 02:52:47,14005782CF10A,2014-04-25,,1,F,Possession of Cocaine,1,16000360MM20A,(M1),,2015-11-09,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,8,High,2014-04-26,Risk of Violence,3,Low,2014-04-26,2014-09-19,2014-10-08,19,2,146,0,1 +8000,lashae taylor,lashae,taylor,2014-08-07,Female,1989-07-04,26,25 - 45,African-American,0,3,0,0,1,-1,2014-08-06 05:11:58,2014-08-07 08:01:25,14010719CF10A,2014-08-06,,1,F,Aggrav Battery w/Deadly Weapon,1,14077488TC30A,(M2),,2014-09-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2014-08-07,Risk of Violence,3,Low,2014-08-07,2014-08-06,2014-08-07,1,0,36,1,1 +8002,jonana allen,jonana,allen,2014-01-21,Male,1969-04-24,46,Greater than 45,African-American,0,7,0,0,2,-17,2014-01-04 07:50:22,2014-01-08 03:01:39,08027016MM10A,2008-11-13,,1895,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-21,Risk of Violence,6,Medium,2014-01-21,2014-01-04,2014-01-08,2,0,801,0,0 +8003,apolinar meza,apolinar,meza,2013-08-06,Male,1974-07-23,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-08-05 05:06:05,2013-08-09 03:55:02,13010978CF10A,2013-08-05,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-06,Risk of Violence,1,Low,2013-08-06,2013-08-05,2013-08-09,0,3,969,0,0 +8004,joseph gibbs,joseph,gibbs,2013-11-01,Male,1984-08-01,31,25 - 45,Caucasian,0,6,0,3,9,-1,2013-10-31 03:30:04,2015-02-13 05:06:48,13015219CF10A,2013-10-31,,1,F,Burglary Dwelling Occupied,1,15012936MU10A,(M1),1,2015-04-24,Driving Under The Influence,2015-04-25,2015-04-25,,0,,,,,Risk of Recidivism,6,Medium,2013-11-01,Risk of Violence,4,Low,2013-11-01,2013-10-31,2015-02-13,9,469,539,1,1 +8007,davidson nougues,davidson,nougues,2013-02-28,Male,1990-05-04,25,25 - 45,African-American,0,9,0,0,2,0,2013-02-28 12:20:59,2013-03-01 04:14:50,13003027CF10A,2013-02-27,,1,F,Threat Public Servant,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-28,Risk of Violence,9,High,2013-02-28,2013-06-20,2013-06-21,2,1,112,0,0 +8008,marquis gause,marquis,gause,2013-08-20,Male,1988-09-13,27,25 - 45,African-American,0,5,0,0,1,-1,2013-08-19 05:36:35,2013-08-21 07:50:24,13035744TC10A,2013-08-19,,1,M,Fail Register Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-20,Risk of Violence,2,Low,2013-08-20,2015-10-02,2020-01-01,1,1,773,0,0 +8009,ralph bellamy,ralph,bellamy,2014-10-23,Male,1984-08-18,31,25 - 45,African-American,1,9,1,1,13,-1,2014-10-22 08:58:25,2014-10-24 04:21:11,14014243CF10A,2014-10-22,,1,F,Poss Pyrrolidinovalerophenone,1,16000253CF10A,(F2),,2016-01-05,Agg Batt W/Arm S/B/I 25 Min/Ma,,,,1,16000253CF10A,(F2),2016-01-05,Agg Batt W/Arm S/B/I 25 Min/Ma,Risk of Recidivism,9,High,2014-10-23,Risk of Violence,8,High,2014-10-23,2014-10-22,2014-10-24,13,1,439,1,1 +8010,philip scire,philip,scire,2014-02-24,Male,1992-09-02,23,Less than 25,Caucasian,0,4,0,0,0,-3,2014-02-21 05:05:49,2014-02-21 08:12:19,14006811MU10A,2014-02-21,,3,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-24,Risk of Violence,4,Low,2014-02-24,2014-02-21,2014-02-21,0,0,767,0,0 +8014,rony clerge,rony,clerge,2014-06-01,Male,1964-02-21,52,Greater than 45,African-American,0,3,0,0,7,-1,2014-05-31 10:26:26,2014-06-01 08:21:07,14007562CF10A,2014-05-31,,1,M,Grand Theft in the 3rd Degree,1,14011551CF10A,(F3),0,2014-08-24,Grand Theft in the 3rd Degree,2014-08-24,2014-08-24,,0,,,,,Risk of Recidivism,3,Low,2014-06-01,Risk of Violence,1,Low,2014-06-01,2014-08-24,2014-08-24,7,0,84,0,1 +8016,andre pitts,andre,pitts,2013-11-13,Male,1986-08-30,29,25 - 45,African-American,0,6,0,0,6,-22,2013-10-22 08:38:06,2013-11-13 09:32:53,13011927CF10A,,2013-10-23,21,F,arrest case no charge,1,14013545CF10A,(F3),6,2014-09-10,Possession of Cocaine,2014-09-16,2014-09-26,,0,,,,,Risk of Recidivism,6,Medium,2013-11-13,Risk of Violence,3,Low,2013-11-13,2014-10-07,2015-04-29,6,0,301,1,1 +8018,robert grace,robert,grace,2013-01-13,Male,1976-01-01,40,25 - 45,Caucasian,0,7,0,0,10,-1,2013-01-12 08:30:13,2013-01-17 08:21:28,13000554CF10A,2013-01-12,,1,F,Felony Petit Theft,1,13002897CF10A,(F3),0,2013-02-26,Possession of XLR11,2013-02-26,2013-04-12,,0,,,,,Risk of Recidivism,7,Medium,2013-01-13,Risk of Violence,5,Medium,2013-01-13,2013-02-26,2013-04-12,10,4,44,1,1 +8019,janice palmer,janice,palmer,2013-01-28,Female,1967-04-06,49,Greater than 45,Caucasian,0,2,0,0,0,-3,2013-01-25 09:46:53,2013-01-26 09:09:41,13001247CF10A,2013-01-25,,3,F,Del Cannabis For Consideration,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-28,Risk of Violence,2,Low,2013-01-28,2013-01-25,2013-01-26,0,0,1159,0,0 +8021,timothy cosman,timothy,cosman,2013-04-12,Male,1967-01-19,49,Greater than 45,Caucasian,0,2,0,0,8,-24,2013-03-19 06:42:18,2013-04-12 07:58:01,13003996CF10A,2013-03-19,,24,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-12,Risk of Violence,1,Low,2013-04-12,2014-05-23,2014-12-16,8,0,406,0,0 +8022,pierre-john lundy,pierre-john,lundy,2014-08-11,Male,1991-12-08,24,Less than 25,African-American,0,5,0,0,3,0,2014-08-11 04:24:01,2014-08-11 10:30:21,14010948CF10A,2014-08-11,,0,F,Possess Mot Veh W/Alt Vin #,1,14011681CF10A,(M2),0,2014-08-27,Violation License Restrictions,2014-08-27,2014-08-28,,0,,,,,Risk of Recidivism,5,Medium,2014-08-11,Risk of Violence,3,Low,2014-08-11,2014-08-27,2014-08-28,3,0,16,1,1 +8023,leevaughn cameron,leevaughn,cameron,2013-03-24,Male,1975-03-28,41,25 - 45,African-American,0,3,0,0,7,-2,2013-03-22 10:17:54,2013-03-24 02:12:36,12001255TC10A,,2013-03-22,2,M,arrest case no charge,1,15010857MM10A,(M1),0,2015-10-16,Criminal Mischief>$200<$1000,2015-10-16,2015-10-17,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,2,Low,2013-03-24,2015-10-16,2015-10-17,7,0,936,1,0 +8024,tamika turner,tamika,turner,2013-09-24,Female,1988-07-06,27,25 - 45,African-American,0,5,0,0,3,-1,2013-09-23 07:28:31,2013-09-24 06:24:45,13018165MM10A,2013-09-23,,1,M,Battery,1,14037109TC10A,(M2),,2013-12-31,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-24,Risk of Violence,4,Low,2013-09-24,2014-08-31,2014-10-04,3,0,98,1,1 +8026,veron coleman,veron,coleman,2014-02-14,Male,1975-10-04,40,25 - 45,African-American,0,1,0,0,1,0,2014-02-14 01:23:36,2014-02-14 08:28:21,14002137CF10A,2014-02-13,,1,F,"Poss 3,4 MDMA (Ecstasy)",1,14074377TC40A,(M2),208,2014-10-31,Driving License Suspended,2015-05-27,2015-05-27,,0,,,,,Risk of Recidivism,1,Low,2014-02-14,Risk of Violence,1,Low,2014-02-14,2015-11-24,2015-11-30,1,0,259,1,1 +8027,golan feldman,golan,feldman,2013-09-24,Male,1969-04-08,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-23 07:08:46,2013-09-24 07:34:58,13018139MM10A,2013-09-23,,1,M,Battery,1,13113564TC30A,(M2),,2013-11-01,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-24,Risk of Violence,1,Low,2013-09-24,2014-10-25,2014-10-25,0,0,38,1,1 +8028,alexandria piercy,alexandria,piercy,2014-11-26,Female,1996-03-11,20,Less than 25,Caucasian,0,10,0,0,0,0,2014-11-26 01:14:13,2014-11-26 08:37:39,14015897CF10A,,2014-11-25,1,F,arrest case no charge,1,14017920MM10A,(M1),0,2014-12-21,Battery,2014-12-21,2014-12-22,,1,14017920MM10A,(M1),2014-12-21,Battery,Risk of Recidivism,10,High,2014-11-26,Risk of Violence,9,High,2014-11-26,2014-12-21,2014-12-22,0,0,25,1,1 +8030,zakendra gary,zakendra,gary,2014-02-26,Male,1994-11-24,21,Less than 25,African-American,0,8,0,0,2,-1,2014-02-25 10:55:52,2014-04-02 10:20:00,14003267MO10A,2014-02-25,,1,M,Littering,1,14007371MM10A,(M1),0,2014-05-04,Unlaw Use False Name/Identity,2014-05-04,2014-05-30,,0,,,,,Risk of Recidivism,8,High,2014-02-26,Risk of Violence,8,High,2014-02-26,2014-05-04,2014-05-30,2,35,67,1,1 +8031,darian jordan,darian,jordan,2014-05-09,Male,1971-05-19,44,25 - 45,African-American,0,8,0,0,8,-1,2014-05-08 12:27:25,2014-05-18 04:40:00,14007615MM10A,2014-05-08,,1,M,Battery,1,15015948CF10A,(F2),0,2015-12-13,Aggrav Battery w/Deadly Weapon,2015-12-13,2015-12-15,,1,15015948CF10A,(F2),2015-12-13,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,8,High,2014-05-09,Risk of Violence,5,Medium,2014-05-09,2015-12-13,2015-12-15,8,9,583,1,1 +8032,gregory williams,gregory,williams,2013-01-29,Male,1974-09-19,41,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-29 03:02:10,2013-01-29 08:32:31,13002085MM10A,2013-01-29,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-29,2013-01-29,0,0,1158,0,0 +8035,moses taulbert,moses,taulbert,2013-10-15,Male,1984-06-10,31,25 - 45,African-American,0,9,1,0,5,-1,2013-10-14 09:06:13,2013-10-15 07:40:33,13019482MM10A,2013-10-14,,1,M,Battery,1,14007256MM10A,(M1),0,2014-05-01,Battery,2014-05-01,2014-05-03,,1,14007256MM10A,(M1),2014-05-01,Battery,Risk of Recidivism,9,High,2013-10-15,Risk of Violence,3,Low,2013-10-15,2014-05-01,2014-05-03,5,0,198,1,1 +8036,rodrigo pinedaboteo,rodrigo,pinedaboteo,2014-03-31,Male,1974-04-15,42,25 - 45,Hispanic,0,1,0,0,1,-3,2014-03-28 10:46:35,2014-03-29 09:04:01,14012344MU10A,2014-03-28,,3,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-28,2014-03-29,1,0,732,0,0 +8038,carrie salter,carrie,salter,2013-01-28,Female,1948-10-16,67,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-27 07:23:13,2013-01-29 05:24:01,13001330CF10A,2013-01-27,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-29,0,1,1159,0,0 +8039,stephen league,stephen,league,2014-01-13,Male,1974-03-02,42,25 - 45,Caucasian,0,2,0,0,1,-3,2014-01-10 12:09:47,2014-01-10 07:57:22,14000503MO10A,2014-01-09,,4,M,Possession Of Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-10,2014-01-10,1,0,809,0,0 +8040,dyontae ferguson,dyontae,ferguson,2013-12-04,Male,1990-05-04,25,25 - 45,African-American,0,3,0,0,0,-1,2013-12-03 01:28:45,2014-01-06 09:00:31,13016990CF10A,,2013-12-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-04,Risk of Violence,4,Low,2013-12-04,2013-12-03,2014-01-06,0,33,849,0,0 +8041,ricardo aponte,ricardo,aponte,2014-08-02,Male,1988-11-24,27,25 - 45,Hispanic,0,4,0,1,6,-1,2014-08-01 07:25:29,2014-08-02 08:57:14,14010506CF10A,2014-08-01,,1,F,Driving While License Revoked,1,15012641CF10A,(F3),0,2015-09-30,Driving While License Revoked,2015-09-30,2015-10-01,,0,,,,,Risk of Recidivism,4,Low,2014-08-02,Risk of Violence,5,Medium,2014-08-02,2015-09-30,2015-10-01,6,0,424,1,1 +8042,rayan pinnock,rayan,pinnock,2014-02-26,Male,1972-10-11,43,25 - 45,Other,0,1,0,0,2,-1,2014-02-25 01:35:38,2014-02-26 09:51:09,14003277MM10A,2014-02-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2014-02-25,2014-02-26,2,0,765,0,0 +8045,brandon amato,brandon,amato,2013-01-28,Male,1992-08-05,23,Less than 25,Caucasian,0,9,0,0,6,0,2013-01-28 05:06:16,2013-02-03 02:50:43,13001363CF10A,2013-01-28,,0,F,Possession Of Alprazolam,1,13009162CF10A,(F3),0,2013-06-29,Resist Officer w/Violence,2013-06-29,2014-02-18,,1,13009162CF10A,(F3),2013-06-29,Battery on Law Enforc Officer,Risk of Recidivism,9,High,2013-01-28,Risk of Violence,6,Medium,2013-01-28,2013-06-29,2014-02-18,6,6,152,1,1 +8046,lorenzo lewis,lorenzo,lewis,2013-09-20,Male,1988-12-22,27,25 - 45,African-American,0,10,0,1,13,-1,2013-09-19 10:04:18,2013-09-20 08:53:23,13013211CF10A,2013-09-19,,1,F,Pos Cannabis W/Intent Sel/Del,1,15000626CF10A,(M1),0,2015-01-14,Possess Drug Paraphernalia,2015-01-14,2015-02-07,,0,,,,,Risk of Recidivism,10,High,2013-09-20,Risk of Violence,10,High,2013-09-20,2015-01-14,2015-02-07,13,0,481,1,1 +8047,lawrence williams,lawrence,williams,2013-05-29,Male,1992-07-26,23,Less than 25,African-American,0,2,1,0,2,-1,2013-05-28 11:49:22,2013-05-29 02:04:51,13007599CF10A,2013-05-28,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-29,Risk of Violence,4,Low,2013-05-29,2013-05-28,2013-05-29,2,0,1038,0,0 +8048,joel torres,joel,torres,2013-08-11,Male,1982-06-03,33,25 - 45,Caucasian,0,3,0,0,2,-1,2013-08-10 06:29:43,2013-08-12 03:36:30,13011237CF10A,2013-08-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-11,Risk of Violence,1,Low,2013-08-11,2013-08-10,2013-08-12,2,1,964,0,0 +8049,gregory young,gregory,young,2013-05-03,Male,1974-08-12,41,25 - 45,Caucasian,0,1,0,0,0,0,2013-05-03 02:50:28,2013-05-04 02:49:49,13008623MM10A,2013-05-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2013-05-03,2013-05-04,0,1,1064,0,0 +8050,deborah demenezes,deborah,demenezes,2013-05-28,Female,1985-01-02,31,25 - 45,Caucasian,0,2,0,0,1,-2,2013-05-26 09:44:58,2013-05-27 01:13:35,11001942CF10A,,2013-05-26,2,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-05-26,2013-05-27,1,0,1039,0,0 +8052,rochelle sutton,rochelle,sutton,2013-01-10,Female,1992-12-18,23,Less than 25,African-American,0,8,0,0,2,126,2013-05-16 11:24:35,2013-05-17 08:02:12,13001778TC10A,2013-01-10,,0,M,Susp Drivers Lic 1st Offense,1,13014727TC20A,(M2),77,2013-02-28,Driving License Suspended,2013-05-16,2013-05-17,,1,15006870MM10A,(M1),2015-06-26,Battery,Risk of Recidivism,8,High,2013-01-10,Risk of Violence,6,Medium,2013-01-10,2015-06-26,2015-06-28,2,0,49,1,1 +8053,dewayne lee,dewayne,lee,2014-01-15,Male,1995-02-25,21,Less than 25,African-American,0,7,0,0,2,-1,2014-01-14 08:25:09,2014-02-12 04:54:28,14000622CF10A,2014-01-14,,1,F,Grand Theft in the 3rd Degree,1,14015079CF10A,(F3),0,2014-11-10,Crimin Mischief Damage $1000+,2014-11-10,2015-05-22,,0,,,,,Risk of Recidivism,7,Medium,2014-01-15,Risk of Violence,8,High,2014-01-15,2014-06-20,2014-06-21,2,28,156,0,1 +8054,joseph barry,joseph,barry,2013-02-02,Male,1962-10-13,53,Greater than 45,African-American,0,4,0,0,5,-1,2013-02-01 11:18:12,2013-11-26 06:43:53,13001629CF10A,2013-02-01,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-02,Risk of Violence,1,Low,2013-02-02,2013-11-26,2014-01-14,5,346,1154,0,0 +8056,samuel wesley,samuel,wesley,2013-08-19,Male,1979-05-28,36,25 - 45,African-American,0,1,0,0,1,0,2013-08-19 05:01:46,2013-08-19 07:34:52,13015748MM10A,2013-08-19,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-19,2013-08-19,1,0,956,0,0 +8059,john campbell,john,campbell,2013-04-25,Male,1957-10-03,58,Greater than 45,Caucasian,0,3,0,0,10,0,2013-04-25 02:34:13,2013-04-25 08:03:17,13017986TC10A,2013-04-25,,0,M,Driving License Suspended,1,16003775CF10A,(F2),,2016-03-29,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-25,2013-04-25,10,0,1069,1,0 +8060,robert schoen,robert,schoen,2013-05-13,Male,1953-12-03,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-12 05:43:25,2013-05-15 07:42:03,13006809CF10A,2013-05-12,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-15,0,2,1054,0,0 +8061,jordan zachary,jordan,zachary,2013-12-23,Male,1990-05-03,25,25 - 45,Caucasian,0,6,0,0,4,-1,2013-12-22 05:37:28,2013-12-23 06:32:58,13017644CF10A,2013-12-22,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-23,Risk of Violence,3,Low,2013-12-23,2013-12-22,2013-12-23,4,0,830,0,0 +8062,james west,james,west,2014-12-31,Male,1964-06-21,51,Greater than 45,African-American,0,8,0,0,15,-1,2014-12-30 04:56:59,2015-02-02 09:55:01,14017200CF10A,2014-12-30,,1,F,Poss Pyrrolidinovalerophenone,1,15001682MM10A,(M1),0,2015-02-10,Criminal Mischief>$200<$1000,2015-02-10,2015-02-28,,0,,,,,Risk of Recidivism,8,High,2014-12-31,Risk of Violence,4,Low,2014-12-31,2015-02-10,2015-02-28,15,33,41,1,1 +8063,emilio alfonso,emilio,alfonso,2013-03-27,Male,1969-09-22,46,Greater than 45,Caucasian,0,2,0,0,2,-14,2013-03-13 12:53:32,2013-03-21 02:08:03,10014551CF10B,,2013-03-13,14,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-27,Risk of Violence,1,Low,2013-03-27,2015-11-24,2015-12-10,2,0,972,0,0 +8065,lamar bernard,lamar,bernard,2014-03-17,Male,1987-12-10,28,25 - 45,African-American,0,2,0,0,4,-1,2014-03-16 12:37:52,2014-03-17 01:55:29,14004558MM10A,2014-03-16,,1,M,Battery,1,15001016CF10A,(M1),0,2015-01-22,Possess Drug Paraphernalia,2015-01-22,2015-01-23,,0,,,,,Risk of Recidivism,2,Low,2014-03-17,Risk of Violence,2,Low,2014-03-17,2015-01-22,2015-01-23,4,0,311,1,1 +8066,edmond morley,edmond,morley,2014-07-10,Male,1991-06-27,24,Less than 25,Caucasian,0,3,0,0,2,-1,2014-07-09 03:44:22,2014-07-11 05:10:09,14009430CF10A,2014-07-09,,1,F,Felony Driving While Lic Suspd,1,15017033TC10A,(M2),0,2015-05-28,Susp Drivers Lic 1st Offense,2015-05-28,2015-05-29,,0,,,,,Risk of Recidivism,3,Low,2014-07-10,Risk of Violence,4,Low,2014-07-10,2015-05-28,2015-05-29,2,1,322,1,1 +8068,joshua hirst,joshua,hirst,2014-02-17,Male,1983-08-25,32,25 - 45,Caucasian,0,8,0,0,6,0,2014-02-17 02:20:40,2014-02-17 08:18:14,14002245CF10A,2014-02-16,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-17,Risk of Violence,8,High,2014-02-17,2014-02-17,2014-02-17,6,0,774,0,0 +8071,jeffery fetters,jeffery,fetters,2013-06-05,Male,1959-07-18,56,Greater than 45,Caucasian,0,4,0,0,13,-59,2013-04-07 07:17:18,2013-05-17 01:46:05,13006649MM10A,2013-04-06,,60,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-05,Risk of Violence,1,Low,2013-06-05,2013-04-07,2013-05-17,13,0,1031,0,0 +8072,jean elma,jean,elma,2013-05-23,Male,1992-11-15,23,Less than 25,African-American,1,9,0,0,2,0,2013-05-23 02:31:47,2013-05-24 03:36:40,13007359CF10A,2013-05-23,,0,F,Pos Cannabis W/Intent Sel/Del,1,14004416MM10A,(M1),0,2014-03-13,Resist/Obstruct W/O Violence,2014-03-13,2014-03-14,,0,,,,,Risk of Recidivism,9,High,2013-05-23,Risk of Violence,10,High,2013-05-23,2014-03-13,2014-03-14,2,1,294,1,1 +8075,jomar fisher,jomar,fisher,2013-01-03,Male,1990-06-12,25,25 - 45,African-American,0,3,0,0,1,188,2013-07-10 01:42:08,2013-08-16 10:17:00,11005572CF10A,,2012-11-09,55,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-03,Risk of Violence,4,Low,2013-01-03,2013-07-10,2013-08-16,1,0,188,0,0 +8077,ian kissoonlai,ian,kissoonlai,2013-01-30,Male,1990-03-28,26,25 - 45,African-American,0,3,0,0,2,,,,13001448CF10A,2013-01-29,,1,F,Criminal Attempt 3rd Deg Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-30,Risk of Violence,4,Low,2013-01-30,,,2,0,1157,0,0 +8078,marie hamilton,marie,hamilton,2013-05-21,Female,1957-07-25,58,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-20 12:10:00,2013-05-20 12:19:32,13009638MM10A,2013-05-19,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-21,Risk of Violence,1,Low,2013-05-21,2013-05-20,2013-05-20,0,0,1046,0,0 +8081,brian wentz,brian,wentz,2014-08-20,Male,1982-12-27,33,25 - 45,Caucasian,0,7,0,0,3,-90,2014-05-22 01:29:25,2014-08-18 11:30:36,14007154CF10A,,2014-06-10,71,F,arrest case no charge,1,15004103CF10A,(M1),0,2015-03-28,Possess Drug Paraphernalia,2015-03-28,2015-11-25,,0,,,,,Risk of Recidivism,7,Medium,2014-08-20,Risk of Violence,5,Medium,2014-08-20,2015-03-28,2015-11-25,3,0,220,1,1 +8082,charles crawford,charles,crawford,2013-07-09,Male,1956-07-24,59,Greater than 45,African-American,0,8,0,0,8,-23,2013-06-16 12:08:58,2013-06-25 08:00:23,13003893CF10A,,2013-06-15,24,F,arrest case no charge,1,14014056CF10A,(F3),0,2014-10-17,Possession of Cocaine,2014-10-17,2014-10-19,,0,,,,,Risk of Recidivism,8,High,2013-07-09,Risk of Violence,6,Medium,2013-07-09,2013-12-16,2014-03-18,8,0,160,0,1 +8084,anthony tetoff,anthony,tetoff,2014-01-28,Male,1972-03-13,44,25 - 45,Caucasian,0,2,0,0,5,-47,2013-12-12 10:44:57,2013-12-24 10:48:55,13017187CF10A,,2013-12-12,47,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-28,Risk of Violence,1,Low,2014-01-28,2013-12-12,2013-12-24,5,0,794,0,0 +8085,donald hutchinson,donald,hutchinson,2013-08-10,Male,1995-06-11,20,Less than 25,African-American,0,7,0,0,0,0,2013-08-10 12:20:57,2013-08-11 02:13:50,13011244CF10A,2013-08-10,,0,F,Aggrav Battery w/Deadly Weapon,1,14002602MM40A,(M1),,2014-06-07,Possess Cannabis/20 Grams Or Less,,,,1,14009572MM10A,(M2),2014-06-18,Assault,Risk of Recidivism,7,Medium,2013-08-10,Risk of Violence,9,High,2013-08-10,2013-08-10,2013-08-11,0,1,301,1,1 +8087,mike delgado,mike,delgado,2014-05-13,Male,1959-01-31,57,Greater than 45,Caucasian,0,1,0,0,0,0,2014-05-13 12:09:00,2014-05-13 01:48:04,14017860MU10A,2014-05-12,,1,M,Fail To Obey Police Officer,1,15078990TC30A,(M2),,2015-12-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-05-13,Risk of Violence,1,Low,2014-05-13,2014-05-13,2014-05-13,0,0,572,1,1 +8090,david toledo,david,toledo,2013-09-21,Male,1978-09-05,37,25 - 45,Caucasian,0,2,0,0,1,0,2013-09-21 02:54:54,2013-09-21 01:51:40,13013325CF10A,,2013-09-21,0,F,arrest case no charge,1,14001842CF10A,(F3),0,2014-02-09,Possession Of Methamphetamine,2014-02-09,2014-04-15,,0,,,,,Risk of Recidivism,2,Low,2013-09-21,Risk of Violence,1,Low,2013-09-21,2014-02-09,2014-04-15,1,0,141,1,1 +8091,james mckenzie,james,mckenzie,2013-05-14,Male,1973-03-29,43,25 - 45,African-American,0,1,0,0,0,-1,2013-05-13 11:27:59,2013-05-14 06:47:18,13006836CF10A,2013-05-13,,1,F,Driving While License Revoked,1,14011491MM10A,(M2),0,2014-07-28,Unlaw LicTag/Sticker Attach,2014-07-28,2014-07-29,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2014-07-28,2014-07-29,0,0,440,1,1 +8093,serina byrd,serina,byrd,2014-02-21,Female,1979-11-03,36,25 - 45,African-American,0,5,0,0,1,0,2014-02-21 05:15:33,2014-02-22 03:34:25,14002483CF10A,2014-02-20,,1,M,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,1,Low,2014-02-21,2014-02-21,2014-02-22,1,1,770,0,0 +8094,william bernharddt,william,bernharddt,2013-04-29,Male,1956-12-03,59,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-29 01:03:48,2013-04-29 06:46:09,13008154MM10A,2013-04-28,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-29,2013-04-29,0,0,1068,0,0 +8095,john noonan,john,noonan,2013-12-23,Male,1980-06-09,35,25 - 45,Caucasian,0,2,0,0,4,0,2013-12-23 03:45:10,2014-01-23 10:11:37,13017677CF10A,2013-12-23,,0,F,Battery on Law Enforc Officer,1,15006231CF10A,(F3),1,2015-05-12,Poss Pyrrolidinovalerophenone,2015-05-13,2015-06-25,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,2,Low,2013-12-23,2013-12-23,2014-01-23,4,31,505,1,1 +8097,james mitchell,james,mitchell,2014-05-31,Male,1986-12-16,29,25 - 45,African-American,0,5,0,0,5,-1,2014-05-30 07:12:58,2014-06-02 12:45:34,14007528CF10A,,2014-05-30,1,F,arrest case no charge,1,15010001MM10A,(M1),,2015-08-29,Battery,,,,1,15010001MM10A,(M1),2015-08-29,Battery,Risk of Recidivism,5,Medium,2014-05-31,Risk of Violence,4,Low,2014-05-31,2014-05-30,2014-06-02,5,2,455,1,1 +8098,christal pinkney,christal,pinkney,2014-03-17,Female,1994-11-11,21,Less than 25,African-American,0,5,0,0,0,-1,2014-03-16 09:49:27,2014-03-17 09:22:07,14004534MM10A,2014-03-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-17,Risk of Violence,6,Medium,2014-03-17,2014-03-16,2014-03-17,0,0,746,0,0 +8099,sebastian cohn,sebastian,cohn,2013-12-10,Male,1987-08-28,28,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-09 07:48:15,2013-12-11 04:09:56,13022791MM10A,2013-12-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,2,Low,2013-12-10,2013-12-09,2013-12-11,0,1,843,0,0 +8100,kurveen johnson,kurveen,johnson,2013-09-13,Male,1981-06-28,34,25 - 45,African-American,0,3,0,0,5,-1,2013-09-12 05:16:21,2013-09-15 09:06:16,13017422MM10A,2013-09-12,,1,M,Viol Injunct Domestic Violence,1,13017235CF10A,(F3),0,2013-12-13,Possession of Cocaine,2013-12-13,2014-01-08,,0,,,,,Risk of Recidivism,3,Low,2013-09-13,Risk of Violence,2,Low,2013-09-13,2013-12-13,2014-01-08,5,2,91,1,1 +8104,theresa miller,theresa,miller,2013-04-08,Female,1973-10-06,42,25 - 45,African-American,0,6,0,0,16,-1,2013-04-07 10:05:20,2013-05-01 10:15:05,13004970CF10A,2013-04-07,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-08,Risk of Violence,2,Low,2013-04-08,2015-01-10,2015-01-30,16,23,642,0,0 +8105,ernest calvert,ernest,calvert,2013-03-08,Male,1994-08-26,21,Less than 25,African-American,0,9,2,1,3,-3,2013-03-05 08:54:54,2013-03-06 11:00:34,13003385CF10A,2013-03-07,,1,F,Leaving the Scene of Accident,1,13019033MM10A,(M1),,2013-07-20,Battery,,,,1,13019033MM10A,(M1),2013-07-20,Battery,Risk of Recidivism,9,High,2013-03-08,Risk of Violence,6,Medium,2013-03-08,2015-04-22,2015-05-21,3,0,134,1,1 +8106,leon wilson,leon,wilson,2014-03-04,Male,1946-06-06,69,Greater than 45,African-American,0,1,0,0,1,-1,2014-03-03 04:53:44,2014-03-04 09:04:35,14003006CF10A,2014-03-03,,1,F,Carrying Concealed Firearm,1,15011787MM10A,(M1),0,2015-11-11,Resist Merchant W Or W/O Viol,2015-11-11,2015-12-02,,0,,,,,Risk of Recidivism,1,Low,2014-03-04,Risk of Violence,1,Low,2014-03-04,2014-04-10,2014-04-11,1,0,37,0,1 +8107,danielle cyr,danielle,cyr,2013-08-13,Female,1966-05-22,49,Greater than 45,Caucasian,0,1,0,0,1,-26,2013-07-18 01:48:52,2013-07-18 12:10:03,13013578MM10A,2013-07-17,,27,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2013-07-18,2013-07-18,1,0,962,0,0 +8110,caitlin watts,caitlin,watts,2013-05-21,Female,1991-07-30,24,Less than 25,Caucasian,0,5,0,0,0,0,2013-05-21 12:50:11,2013-05-22 05:30:40,13009743MM10A,2013-05-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-21,Risk of Violence,5,Medium,2013-05-21,2013-05-21,2013-05-22,0,1,1046,0,0 +8111,sean harris,sean,harris,2014-11-12,Male,1988-06-02,27,25 - 45,African-American,0,8,0,0,4,-1,2014-11-11 09:26:27,2014-12-15 09:30:11,14015130CF10A,2014-11-11,,1,F,Poss Pyrrolidinovalerophenone,1,15001567CF10A,(F3),0,2015-02-03,Poss Pyrrolidinovalerophenone,2015-02-03,2015-03-12,,0,,,,,Risk of Recidivism,8,High,2014-11-12,Risk of Violence,5,Medium,2014-11-12,2015-02-03,2015-03-12,4,33,83,1,1 +8112,regina ewing,regina,ewing,2013-01-19,Female,1960-12-05,55,Greater than 45,African-American,0,1,0,0,1,-1,2013-01-18 05:15:26,2013-01-20 08:28:44,13000864CF10A,2013-01-18,,1,M,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-19,Risk of Violence,1,Low,2013-01-19,2013-01-18,2013-01-20,1,1,1168,0,0 +8113,scott burleigh,scott,burleigh,2013-11-25,Male,1996-09-22,19,Less than 25,African-American,1,10,2,0,3,-200,2013-05-09 05:30:32,2013-11-25 01:22:29,13006619CF10A,,2013-05-09,200,F,arrest case no charge,1,15000485CF10A,(M2),0,2015-01-11,Susp Drivers Lic 1st Offense,2015-01-11,2015-01-12,,1,15000485CF10A,(F2),2015-01-11,Agg Assault Law Enforc Officer,Risk of Recidivism,10,High,2013-11-25,Risk of Violence,9,High,2013-11-25,2015-01-11,2015-01-12,3,0,412,1,1 +8114,victor prosper,victor,prosper,2013-10-25,Male,1991-07-08,24,Less than 25,African-American,2,8,0,0,7,-1,2013-10-24 10:28:40,2013-10-27 07:45:15,13020158MM10A,2013-10-24,,1,M,Viol Prot Injunc Repeat Viol,1,13016373CF10A,(F1),0,2013-11-25,Poss/Sell/Del Cocaine 1000FT Sch,2013-11-25,2013-12-06,,0,,,,,Risk of Recidivism,8,High,2013-10-25,Risk of Violence,7,Medium,2013-10-25,2013-11-25,2013-12-06,7,2,31,1,1 +8115,moise jean jacques,moise,jean jacques,2013-09-23,Male,1976-11-02,39,25 - 45,Other,0,1,0,0,1,,,,13038110TC20A,2013-06-15,,100,M,Expired DL More Than 6 Months,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,,,1,0,921,0,0 +8116,wessley cruzmolina,wessley,cruzmolina,2013-09-09,Male,1994-07-29,21,Less than 25,Caucasian,0,4,0,0,1,-1,2013-09-08 08:48:03,2013-09-09 02:06:14,13012702CF10A,,2013-09-08,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-09,Risk of Violence,6,Medium,2013-09-09,2013-09-08,2013-09-09,1,0,935,0,0 +8117,patrick yerkovich,patrick,yerkovich,2013-09-15,Male,1988-04-06,28,25 - 45,Caucasian,0,6,0,0,0,-1,2013-09-14 07:25:21,2013-10-21 08:49:04,13012984CF10A,2013-09-14,,1,F,"Poss3,4 Methylenedioxymethcath",1,14004555MM40A,(M1),136,2014-10-20,Petit Theft $100- $300,2015-03-05,2015-03-20,,0,,,,,Risk of Recidivism,6,Medium,2013-09-15,Risk of Violence,7,Medium,2013-09-15,2014-01-17,2014-03-28,0,36,124,0,1 +8118,william kilgore,william,kilgore,2013-01-25,Male,1981-07-31,34,25 - 45,African-American,0,6,0,0,4,0,2013-01-25 01:41:29,2013-01-25 01:58:16,13001828MM10A,2013-01-24,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-25,Risk of Violence,6,Medium,2013-01-25,2013-01-25,2013-01-25,4,0,1162,0,0 +8119,keenan watson,keenan,watson,2013-01-16,Male,1988-12-20,27,25 - 45,African-American,0,5,0,0,2,-1,2013-01-15 09:51:37,2013-01-17 09:15:00,12011314CF10A,,2013-01-16,0,F,arrest case no charge,1,14001076CF10A,(F3),0,2014-01-24,Possession Burglary Tools,2014-01-24,2014-07-01,,0,,,,,Risk of Recidivism,5,Medium,2013-01-16,Risk of Violence,3,Low,2013-01-16,2014-01-17,2014-01-25,2,1,373,1,0 +8120,rodney dobronozenk,rodney,dobronozenk,2013-04-20,Male,1979-03-30,37,25 - 45,African-American,3,10,0,0,12,-1,2013-04-19 03:12:03,2013-06-10 10:44:28,13004462MM10A,,2013-04-19,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-20,Risk of Violence,9,High,2013-04-20,2014-03-20,2014-11-29,12,51,334,0,0 +8121,kennyal webber,kennyal,webber,2013-12-20,Male,1975-06-07,40,25 - 45,African-American,0,1,0,0,1,-65,2013-10-16 01:57:19,2013-12-20 06:03:00,13014011CF10A,2013-10-05,,76,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-20,Risk of Violence,1,Low,2013-12-20,2013-10-16,2013-12-20,1,0,833,0,0 +8124,christina trueblood,christina,trueblood,2014-12-23,Female,1979-11-24,36,25 - 45,Caucasian,0,2,0,0,4,232,2015-08-12 03:38:48,2015-11-24 01:22:05,14016360CF10A,2014-12-08,,15,F,Possession of Ethylone,1,15008536MM10A,(M1),0,2015-08-12,Resist/Obstruct W/O Violence,2015-08-12,2015-11-24,,0,,,,,Risk of Recidivism,2,Low,2014-12-23,Risk of Violence,3,Low,2014-12-23,2015-08-12,2015-11-24,4,0,232,1,1 +8125,austin robertson,austin,robertson,2013-08-16,Male,1992-07-27,23,Less than 25,Caucasian,0,4,0,0,0,0,2013-08-16 01:18:50,2013-08-16 01:33:22,13011489CF10A,2013-08-15,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-16,Risk of Violence,5,Medium,2013-08-16,2015-10-15,2015-11-30,0,0,790,0,0 +8126,willie sheely,willie,sheely,2013-10-21,Male,1981-09-20,34,25 - 45,African-American,0,7,0,0,19,-76,2013-08-06 10:48:28,2013-10-19 05:03:16,13012254CF10A,,2013-08-28,54,F,arrest case no charge,1,15007004CF10A,(F2),,2015-01-01,Aggravated Battery / Pregnant,,,,1,15007004CF10A,(F2),2015-01-01,Aggravated Battery / Pregnant,Risk of Recidivism,7,Medium,2013-10-21,Risk of Violence,6,Medium,2013-10-21,2014-08-13,2014-10-28,19,0,296,0,1 +8129,tim funchess,tim,funchess,2013-10-12,Male,1989-02-24,27,25 - 45,African-American,0,9,0,1,5,-1,2013-10-11 11:05:38,2013-10-12 01:31:00,13014269CF10A,2013-10-11,,1,F,Possession of Cocaine,1,14008891CF10A,(M1),0,2014-06-28,Trespass Other Struct/Conve,2014-06-28,2014-12-02,,1,16000750CF10A,(F3),2016-01-18,Aggravated Assault W/Dead Weap,Risk of Recidivism,9,High,2013-10-12,Risk of Violence,5,Medium,2013-10-12,2014-06-28,2014-12-02,5,0,259,1,1 +8130,vanston ward,vanston,ward,2014-02-01,Male,1965-08-30,50,Greater than 45,African-American,0,1,0,0,1,-1,2014-01-31 11:01:58,2014-02-01 10:10:12,14001401CF10A,2014-01-31,,1,F,Possess Weapon On School Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-01,Risk of Violence,1,Low,2014-02-01,2014-01-31,2014-02-01,1,0,790,0,0 +8132,andre jones,andre,jones,2013-03-30,Male,1994-02-26,22,Less than 25,African-American,0,5,1,2,1,-1,2013-03-29 07:15:17,2013-04-01 03:56:36,13004557CF10A,2013-03-29,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-30,Risk of Violence,7,Medium,2013-03-30,2013-03-29,2013-04-01,1,2,1098,0,0 +8133,leon hatcher,leon,hatcher,2014-08-04,Male,1973-01-08,43,25 - 45,African-American,0,6,0,0,1,-1,2014-08-03 11:18:36,2014-09-04 04:00:59,14010572CF10A,2014-08-03,,1,F,Felony Battery (Dom Strang),1,14016831CF10A,(F3),0,2014-12-20,Poss Pyrrolidinovalerophenone,2014-12-20,2014-12-30,,0,,,,,Risk of Recidivism,6,Medium,2014-08-04,Risk of Violence,5,Medium,2014-08-04,2014-12-20,2014-12-30,1,31,138,1,1 +8134,kimberly satterfield,kimberly,satterfield,2013-05-04,Male,1986-11-16,29,25 - 45,Caucasian,0,7,0,0,0,-1,2013-05-03 11:05:54,2013-05-04 10:02:06,13008630MO10A,2013-05-03,,1,M,Prostitution/Lewdness/Assign,1,13008504CF10A,(F3),1,2013-06-15,Possession of Cocaine,2013-06-16,2013-07-17,,0,,,,,Risk of Recidivism,7,Medium,2013-05-04,Risk of Violence,5,Medium,2013-05-04,2015-09-09,2015-11-30,0,0,42,1,1 +8135,julia cabrera,julia,cabrera,2013-08-22,Female,1965-10-18,50,Greater than 45,Hispanic,0,2,0,0,1,18,2013-09-09 01:31:23,2013-09-10 02:50:27,13003660CF10A,,2013-04-26,118,F,arrest case no charge,1,13023474MM10A,(M1),0,2013-12-19,Use Fraud OBT Rcpt/False Rcpt,2013-12-19,2013-12-19,,0,,,,,Risk of Recidivism,2,Low,2013-08-22,Risk of Violence,1,Low,2013-08-22,2013-09-09,2013-09-10,1,0,18,0,1 +8136,jeffrey sapper,jeffrey,sapper,2014-03-11,Male,1955-01-20,61,Greater than 45,Caucasian,0,1,0,0,1,-5,2014-03-06 02:23:58,2014-03-10 07:39:04,14003206CF10A,2014-03-06,,5,F,Aggravated Assault W/Dead Weap,1,14045945TC40A,(M2),,2014-06-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2014-11-20,2014-11-25,1,0,110,1,1 +8137,juvince jacques,juvince,jacques,2013-10-07,Male,1981-12-09,34,25 - 45,African-American,0,1,0,0,1,0,2013-10-07 05:48:19,2013-10-30 09:57:10,13014075CF10A,,2013-10-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-07,Risk of Violence,2,Low,2013-10-07,2013-10-07,2013-10-30,1,23,907,0,0 +8138,harry morrison,harry,morrison,2014-02-27,Male,1959-11-30,56,Greater than 45,African-American,0,1,0,0,1,98,2014-06-05 10:22:38,2014-06-14 05:59:09,14002691CF10A,,2014-02-27,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-27,Risk of Violence,2,Low,2014-02-27,2014-06-05,2014-06-14,1,0,98,0,0 +8140,bernie jean,bernie,jean,2014-07-31,Male,1984-05-06,31,25 - 45,African-American,3,10,0,0,16,-1,2014-07-30 09:59:12,2014-07-31 08:43:21,14010373CF10A,2014-07-30,,1,F,Driving While License Revoked,1,14013080CF10A,(F3),0,2014-09-27,Possession of Cocaine,2014-09-27,2014-09-27,,0,,,,,Risk of Recidivism,10,High,2014-07-31,Risk of Violence,8,High,2014-07-31,2014-09-27,2014-09-27,16,0,58,0,1 +8141,logan slaving,logan,slaving,2013-03-05,Male,1994-08-28,21,Less than 25,Caucasian,0,4,0,0,0,0,2013-03-05 04:09:04,2013-03-05 06:30:19,13003290CF10A,2013-03-05,,0,F,Trespassing/Construction Site,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-05,Risk of Violence,5,Medium,2013-03-05,2013-03-05,2013-03-05,0,0,1123,0,0 +8142,markenson valcin,markenson,valcin,2014-10-04,Male,1992-08-24,23,Less than 25,African-American,0,5,0,1,1,-1,2014-10-03 07:33:09,2014-10-10 08:59:03,14013352CF10A,2014-10-03,,1,F,Poss Pyrrolidinovalerophenone,1,16000476CF10A,(F2),0,2016-01-12,Possess Cannabis 1000FTSch,2016-01-12,2016-01-16,,0,,,,,Risk of Recidivism,5,Medium,2014-10-04,Risk of Violence,4,Low,2014-10-04,2016-01-12,2016-01-16,1,6,465,1,1 +8143,kevin bunsie,kevin,bunsie,2013-01-18,Male,1970-05-12,45,Greater than 45,Other,0,1,0,0,1,-1,2013-01-17 11:36:51,2013-01-18 09:16:04,13000817CF10A,,2013-01-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-17,2013-01-18,1,0,1169,0,0 +8145,jermai jacsaint,jermai,jacsaint,2013-01-04,Male,1991-12-14,24,Less than 25,African-American,0,8,0,0,1,0,2013-01-04 12:44:48,2013-01-18 08:28:40,13000173MM10A,2013-01-03,,1,M,Possess Cannabis/20 Grams Or Less,1,13003340CF10A,(F2),0,2013-03-06,Poss Cocaine/Intent To Del/Sel,2013-03-06,2013-08-31,,0,,,,,Risk of Recidivism,8,High,2013-01-04,Risk of Violence,6,Medium,2013-01-04,2013-03-06,2013-08-31,1,14,61,1,1 +8146,angelo jasmine,angelo,jasmine,2013-09-23,Male,1985-10-28,30,25 - 45,African-American,0,9,0,0,1,0,2013-09-23 12:16:20,2013-09-23 08:15:00,13013382CF10A,2013-09-22,,1,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-23,Risk of Violence,7,Medium,2013-09-23,2013-09-23,2013-09-23,1,0,921,0,0 +8147,matthew thomas,matthew,thomas,2013-05-24,Male,1983-11-23,32,25 - 45,African-American,0,8,6,5,17,-1,2013-05-23 11:50:59,2013-09-13 09:09:15,10018362CF10A,,2013-05-23,1,F,arrest case no charge,1,14014569CF10A,(F3),,2014-10-30,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,8,High,2013-05-24,Risk of Violence,7,Medium,2013-05-24,2014-10-16,2014-10-17,17,112,510,0,1 +8148,mark allen,mark,allen,2013-05-08,Male,1955-03-01,61,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-08 05:38:16,2013-05-14 09:38:56,13008899MM10A,2013-05-08,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-08,Risk of Violence,1,Low,2013-05-08,2013-05-08,2013-05-14,0,6,1059,0,0 +8149,sean weir,sean,weir,2014-02-08,Male,1988-08-07,27,25 - 45,Caucasian,0,3,0,0,3,-1,2014-02-07 04:46:22,2014-02-10 10:45:34,14002159MM10A,2014-02-07,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-08,Risk of Violence,3,Low,2014-02-08,2015-04-21,2015-04-21,3,2,437,0,0 +8150,caritasse roche,caritasse,roche,2013-07-12,Female,1988-05-13,27,25 - 45,African-American,0,5,0,0,2,,,,11019811TC10A,2011-04-12,,822,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-12,Risk of Violence,4,Low,2013-07-12,,,2,0,994,0,0 +8151,carlos gonzalez,carlos,gonzalez,2013-11-23,Male,1974-11-03,41,25 - 45,Hispanic,0,2,0,0,2,-1,2013-11-22 09:33:14,2013-11-23 10:16:36,13021950MM10A,2013-11-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-23,Risk of Violence,1,Low,2013-11-23,2013-11-22,2013-11-23,2,0,860,0,0 +8153,monica petusevsky,monica,petusevsky,2013-05-02,Male,1955-10-26,60,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-01 04:33:58,2013-05-02 04:44:03,13008472MM10A,2013-05-01,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-02,Risk of Violence,1,Low,2013-05-02,2013-05-01,2013-05-02,0,0,1065,0,0 +8154,jovan pinnock,jovan,pinnock,2013-02-07,Male,1993-01-06,23,Less than 25,African-American,0,8,0,0,1,0,2013-02-07 12:13:06,2013-02-11 08:47:59,13002715MM10A,2013-02-06,,1,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-07,Risk of Violence,8,High,2013-02-07,2013-02-07,2013-02-11,1,4,1149,0,0 +8155,kyle hansen,kyle,hansen,2013-11-07,Male,1976-04-15,40,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-06 10:58:07,2013-11-07 01:55:42,13020960MM10A,2013-11-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-07,Risk of Violence,1,Low,2013-11-07,2013-11-06,2013-11-07,0,0,876,0,0 +8157,stefano rotati,stefano,rotati,2014-02-12,Male,1986-03-12,30,25 - 45,Caucasian,0,3,0,0,0,-7,2014-02-05 05:34:10,2014-02-11 09:01:58,14001642CF10A,2014-02-05,,7,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-12-12,2014-12-17,0,0,303,0,0 +8160,cynthia detres,cynthia,detres,2013-10-02,Female,1995-08-01,20,Less than 25,Caucasian,0,5,0,0,1,-41,2013-08-22 10:19:04,2013-08-23 08:21:55,13011826CF10A,2013-08-22,,41,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-02,Risk of Violence,6,Medium,2013-10-02,2013-08-22,2013-08-23,1,0,912,0,0 +8161,brandy palmer,brandy,palmer,2014-02-05,Female,1995-12-09,20,Less than 25,African-American,0,5,0,0,0,-1,2014-02-04 10:17:09,2014-02-05 09:57:26,14001576CF10A,2014-02-04,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-05,Risk of Violence,7,Medium,2014-02-05,2014-10-01,2014-10-14,0,0,238,0,0 +8162,khalid abukablan,khalid,abukablan,2013-03-18,Male,1967-10-01,48,Greater than 45,Asian,0,2,0,0,0,-1,2013-03-17 10:10:13,2013-03-20 09:25:28,13003888CF10A,2013-03-17,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-17,2013-03-20,0,2,1110,0,0 +8163,brian corker,brian,corker,2013-11-14,Male,1991-07-13,24,Less than 25,African-American,0,5,0,0,0,-1,2013-11-13 08:08:42,2013-11-14 08:11:27,13021393MM10A,2013-11-13,,1,M,Battery,1,14007351MM10A,(M1),0,2014-05-03,Resist/Obstruct W/O Violence,2014-05-03,2014-05-05,,1,14007351MM10A,(M2),2014-05-03,Assault,Risk of Recidivism,5,Medium,2013-11-14,Risk of Violence,5,Medium,2013-11-14,2014-05-03,2014-05-05,0,0,170,1,1 +8164,joey stroud,joey,stroud,2013-08-02,Male,1986-02-28,30,25 - 45,African-American,0,3,0,0,5,-1,2013-08-01 11:03:55,2013-08-02 08:42:08,13014513MM10A,2013-08-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-02,Risk of Violence,2,Low,2013-08-02,2013-08-01,2013-08-02,5,0,973,0,0 +8168,roderica sweeting,roderica,sweeting,2013-12-04,Female,1995-10-25,20,Less than 25,African-American,0,4,0,0,0,0,2013-12-04 12:13:31,2013-12-04 12:07:33,13022469MM10A,2013-12-03,,1,M,Battery,1,14003601MM40A,(M2),,2014-08-13,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-04,Risk of Violence,6,Medium,2013-12-04,2013-12-04,2013-12-04,0,0,252,1,1 +8169,luke morgan,luke,morgan,2013-02-17,Male,1990-10-04,25,25 - 45,African-American,0,3,0,0,0,-1,2013-02-16 11:55:29,2013-02-18 02:30:55,12022946MO10A,,2013-02-16,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-17,Risk of Violence,5,Medium,2013-02-17,2013-02-16,2013-02-18,0,1,1139,0,0 +8171,omar santiago,omar,santiago,2013-10-07,Male,1977-05-27,38,25 - 45,Caucasian,0,2,0,0,0,0,2013-10-07 04:35:01,2013-10-07 08:13:51,13019064MM10A,2013-10-07,,0,M,Susp Drivers Lic 1st Offense,1,15011658MM10A,(M1),0,2015-11-06,Possess Cannabis/20 Grams Or Less,2015-11-06,2015-11-09,,0,,,,,Risk of Recidivism,2,Low,2013-10-07,Risk of Violence,2,Low,2013-10-07,2015-11-06,2015-11-09,0,0,760,1,0 +8172,samuel gedeon,samuel,gedeon,2014-07-11,Male,1986-05-23,29,25 - 45,African-American,0,2,0,0,0,-1,2014-07-10 01:17:14,2014-07-11 09:05:24,14009467CF10A,2014-07-10,,1,F,Carrying Concealed Firearm,1,15003003CF10A,(M1),0,2015-03-05,Possess Drug Paraphernalia,2015-03-05,2015-04-15,,0,,,,,Risk of Recidivism,2,Low,2014-07-11,Risk of Violence,2,Low,2014-07-11,2015-03-05,2015-04-15,0,0,237,1,1 +8173,amber ogren,amber,ogren,2014-12-26,Female,1977-09-17,38,25 - 45,Caucasian,0,5,0,0,1,-18,2014-12-08 03:24:55,2014-12-24 08:52:12,14017277MM10A,2014-12-08,,18,M,Petit Theft $100- $300,1,15012270TC20A,(M2),,2015-02-11,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2014-12-26,Risk of Violence,2,Low,2014-12-26,2014-12-08,2014-12-24,1,0,47,1,1 +8174,rodrick shand,rodrick,shand,2013-03-13,Male,1989-01-13,27,25 - 45,African-American,0,2,0,0,1,-1,2013-03-12 05:14:38,2013-03-13 01:33:25,13003621CF10A,2013-03-12,,1,F,Grand Theft (Motor Vehicle),1,15010212MM10A,(M1),0,2015-09-28,Unlaw Use False Name/Identity,2015-09-28,2015-09-30,,0,,,,,Risk of Recidivism,2,Low,2013-03-13,Risk of Violence,3,Low,2013-03-13,2014-08-20,2014-09-19,1,0,525,0,0 +8179,nicholas pena,nicholas,pena,2014-04-29,Male,1994-06-17,21,Less than 25,Caucasian,0,4,0,0,0,0,2014-04-29 01:11:15,2014-04-30 02:53:40,14007038MM10A,2014-04-28,,1,M,Battery,1,14009364MM10A,(M1),0,2014-06-13,Viol Pretrial Release Dom Viol,2014-06-13,2014-06-15,,0,,,,,Risk of Recidivism,4,Low,2014-04-29,Risk of Violence,6,Medium,2014-04-29,2014-06-13,2014-06-15,0,1,45,1,1 +8182,ezekiel swinton,ezekiel,swinton,2013-01-31,Male,1992-03-12,24,Less than 25,African-American,0,7,0,0,1,0,2013-01-31 04:44:02,2013-06-21 05:24:05,13001578CF10A,2013-01-31,,0,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-31,Risk of Violence,9,High,2013-01-31,2013-01-31,2013-06-21,1,141,1156,0,0 +8183,jamie flynn,jamie,flynn,2013-10-11,Male,1963-04-05,53,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-10-10 06:42:01,2014-04-26 04:56:53,13014217CF10A,,2013-10-10,1,F,arrest case no charge,1,14052042TC20A,(M2),264,2014-07-17,Driving License Suspended,2015-04-07,2015-06-16,,0,,,,,Risk of Recidivism,1,Low,2013-10-11,Risk of Violence,1,Low,2013-10-11,2013-10-10,2014-04-26,3,197,279,1,1 +8184,mayker contreras,mayker,contreras,2014-12-12,Male,1979-10-10,36,25 - 45,Caucasian,0,2,0,0,4,-1,2014-12-11 05:07:17,2014-12-12 08:54:37,14016444CF10A,2014-12-11,,1,F,Grand Theft in the 3rd Degree,1,15008207CF10A,(F3),0,2015-06-25,Use of Anti-Shoplifting Device,2015-06-25,2015-06-26,,0,,,,,Risk of Recidivism,2,Low,2014-12-12,Risk of Violence,1,Low,2014-12-12,2015-06-25,2015-06-26,4,0,195,1,1 +8185,willie perry,willie,perry,2014-10-28,Male,1952-01-03,64,Greater than 45,African-American,0,4,0,0,8,-4,2014-10-24 07:26:34,2014-10-25 06:30:06,08002767MM40A,,2008-08-18,2262,M,arrest case no charge,1,15014354CF10A,(F2),,2015-11-04,Poss Wep Conv Felon,,,,1,15014354CF10A,(F1),2015-11-04,Agg Battery Bod Hrm-Deadly Weap,Risk of Recidivism,4,Low,2014-10-28,Risk of Violence,2,Low,2014-10-28,2014-10-24,2014-10-25,8,0,372,1,1 +8187,william ramos,william,ramos,2013-03-12,Male,1992-12-18,23,Less than 25,African-American,0,10,0,0,0,0,2013-03-12 04:10:28,2013-03-13 01:37:36,13004937MM10A,2013-03-12,,0,M,Possession of Alcohol Under 21,1,14003851MM10A,(M2),,2014-02-11,Drinking Alch Beverage In Open,,,,0,,,,,Risk of Recidivism,10,High,2013-03-12,Risk of Violence,5,Medium,2013-03-12,2013-03-12,2013-03-13,0,1,336,1,1 +8188,jamie fabre,jamie,fabre,2013-11-06,Male,1989-07-16,26,25 - 45,Caucasian,0,10,0,0,3,0,2013-11-06 04:37:08,2013-11-06 08:11:56,11015818MM10A,2011-06-19,,871,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-11-06,Risk of Violence,9,High,2013-11-06,2015-02-02,2015-02-02,3,0,453,0,0 +8189,hilary adler,hilary,adler,2013-09-26,Male,1967-11-04,48,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-25 08:20:02,2013-10-28 10:14:25,13013483CF10A,2013-09-25,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2013-09-25,2013-10-28,0,32,918,0,0 +8190,apollon chery,apollon,chery,2014-02-10,Male,1989-01-03,27,25 - 45,Other,0,4,0,0,6,-1,2014-02-09 01:07:08,2014-02-10 03:16:11,14001823CF10A,2014-02-09,,1,F,Possession of Cocaine,1,14006188MM10A,(M1),0,2014-04-11,Possess Cannabis/20 Grams Or Less,2014-04-11,2014-04-12,,0,,,,,Risk of Recidivism,4,Low,2014-02-10,Risk of Violence,4,Low,2014-02-10,2009-06-25,2020-01-01,6,0,60,1,1 +8191,anpherny simpson,anpherny,simpson,2013-09-30,Male,1994-10-15,21,Less than 25,African-American,0,4,0,0,0,-1,2013-09-29 07:16:56,2013-09-30 08:59:07,13013673CF10A,2013-09-29,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,6,Medium,2013-09-30,2013-09-29,2013-09-30,0,0,914,0,0 +8193,jamil moreland,jamil,moreland,2014-01-10,Male,1995-07-05,20,Less than 25,African-American,0,5,0,0,0,-1,2014-01-09 07:16:04,2014-01-11 03:32:05,14000377CF10A,2014-01-09,,1,F,Deliver Cocaine,1,14018696TC10A,(M2),,2014-05-11,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-10,Risk of Violence,6,Medium,2014-01-10,2014-01-09,2014-01-11,0,1,121,1,1 +8195,shane johnson,shane,johnson,2013-05-12,Male,1978-11-27,37,25 - 45,African-American,0,9,0,0,17,-1,2013-05-11 12:13:17,2013-06-26 04:02:19,13009095MM10A,2013-05-11,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-12,Risk of Violence,3,Low,2013-05-12,2014-08-01,2014-10-27,17,45,446,0,0 +8196,darell shanafelt,darell,shanafelt,2013-02-12,Male,1964-10-18,51,Greater than 45,Caucasian,0,5,0,0,8,-1,2013-02-11 02:29:42,2013-02-12 08:09:17,13002105CF10A,2013-02-11,,1,F,Possession of Cocaine,1,13010868CF10A,(F3),0,2013-08-03,Grand Theft in the 3rd Degree,2013-08-03,2013-10-24,,0,,,,,Risk of Recidivism,5,Medium,2013-02-12,Risk of Violence,2,Low,2013-02-12,2013-08-03,2013-10-24,8,0,172,1,1 +8197,edwin fontanez,edwin,fontanez,2013-11-15,Male,1968-08-06,47,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-11-14 08:28:37,2013-11-15 08:48:39,13015851CF10A,2013-11-14,,1,F,Possession of Cocaine,1,15062352TC20A,(M2),,2015-10-11,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-15,Risk of Violence,1,Low,2013-11-15,2013-11-14,2013-11-15,2,0,695,1,1 +8201,david ponczkowski,david,ponczkowski,2013-02-04,Male,1987-02-26,29,25 - 45,Caucasian,0,9,0,0,2,726,2015-01-31 08:08:10,2015-02-01 01:54:12,12025281NI20A,2012-03-21,,320,M,Ride Tri-Rail Without Paying,1,15001461CF10A,(M2),0,2015-01-31,Trespass Struct/Conveyance,2015-01-31,2015-02-01,,0,,,,,Risk of Recidivism,9,High,2013-02-04,Risk of Violence,8,High,2013-02-04,2015-01-31,2015-02-01,2,0,726,1,1 +8203,nicketta bromfield,nicketta,bromfield,2013-08-01,Male,1988-09-24,27,25 - 45,African-American,0,9,0,1,2,-1,2013-07-31 11:04:52,2013-09-09 07:20:30,13010690CF10A,2013-07-31,,1,F,Shoot Into Vehicle,1,13021595MM10A,(M1),1,2013-11-16,Possess Cannabis/20 Grams Or Less,2013-11-17,2014-05-15,,0,,,,,Risk of Recidivism,9,High,2013-08-01,Risk of Violence,8,High,2013-08-01,2013-07-31,2013-09-09,2,39,107,1,1 +8204,jody holmes,jody,holmes,2013-11-23,Male,1970-10-09,45,Greater than 45,African-American,1,7,0,0,16,-1,2013-11-22 07:56:56,2013-11-23 10:08:48,13016283CF10A,2013-11-22,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-23,Risk of Violence,2,Low,2013-11-23,2014-04-15,2014-07-02,16,0,143,0,0 +8205,jason shopovick,jason,shopovick,2014-11-12,Male,1974-12-17,41,25 - 45,Caucasian,0,2,0,0,0,-1,2014-11-11 04:37:39,2014-11-12 09:13:09,14015111CF10A,2014-11-11,,1,F,Poss Contr Subst W/o Prescript,1,15000099MM30A,(M2),,2014-12-24,Petit Theft,,,,0,,,,,Risk of Recidivism,2,Low,2014-11-12,Risk of Violence,1,Low,2014-11-12,2014-11-11,2014-11-12,0,0,42,1,1 +8207,federico watkins,federico,watkins,2014-05-16,Male,1984-04-25,31,25 - 45,Caucasian,0,2,0,0,3,-1,2014-05-15 08:47:49,2014-05-17 03:47:54,14007944MM10A,2014-05-15,,1,M,Battery,1,16002555CF10A,(F1),,2016-02-25,Sex Batt Faml/Cust Vict 12-17Y,,,,1,16002555CF10A,(F1),2016-02-25,Sex Batt Faml/Cust Vict 12-17Y,Risk of Recidivism,2,Low,2014-05-16,Risk of Violence,2,Low,2014-05-16,2014-05-15,2014-05-17,3,1,650,1,1 +8209,bobby chin,bobby,chin,2013-01-03,Male,1987-04-25,28,25 - 45,Asian,0,8,0,0,9,-1,2013-01-02 02:13:50,2013-02-08 01:06:38,13000088CF10A,2013-01-02,,1,F,Aggravated Battery,1,15039961TC20A,(M2),,2015-07-04,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,8,High,2013-01-03,Risk of Violence,6,Medium,2013-01-03,2013-01-02,2013-02-08,9,36,912,1,0 +8210,shermilla coats,shermilla,coats,2013-07-29,Female,1986-07-12,29,25 - 45,African-American,0,3,0,0,1,-40,2013-06-19 06:57:34,2013-07-04 12:09:30,13008678CF10A,2013-06-19,,40,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-29,Risk of Violence,2,Low,2013-07-29,2013-06-19,2013-07-04,1,0,977,0,0 +8211,michael biasucci,michael,biasucci,2013-04-20,Male,1977-02-02,39,25 - 45,Caucasian,0,1,0,0,1,-1,2013-04-19 11:58:23,2013-04-20 07:15:06,13005615CF10A,2013-04-19,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-20,Risk of Violence,1,Low,2013-04-20,2013-04-19,2013-04-20,1,0,1077,0,0 +8212,precious price,precious,price,2013-08-04,Male,1982-12-05,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-08-03 05:25:28,2013-08-04 01:49:16,13010897CF10A,2013-08-03,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-04,Risk of Violence,2,Low,2013-08-04,2013-08-03,2013-08-04,0,0,971,0,0 +8214,quakiiya tigner,quakiiya,tigner,2014-11-20,Female,1995-01-03,21,Less than 25,African-American,0,6,1,0,1,-1,2014-11-19 10:04:05,2014-11-20 08:50:08,14015648CF10A,2014-11-19,,1,F,Uttering a Forged Instrument,1,15021978TC20A,(M2),,2015-03-31,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,6,Medium,2014-11-20,Risk of Violence,9,High,2014-11-20,2015-04-21,2015-05-27,1,0,131,1,1 +8215,farrokh mohammadnejad,farrokh,mohammadnejad,2013-09-23,Male,1967-06-24,48,Greater than 45,Asian,0,1,0,0,0,0,2013-09-23 02:20:40,2013-10-02 12:35:15,13018143MM10A,2013-09-22,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-23,2013-10-02,0,9,921,0,0 +8216,barry williams,barry,williams,2013-10-31,Male,1988-04-22,27,25 - 45,African-American,0,3,0,0,3,-1,2013-10-30 03:40:14,2013-12-07 01:53:45,13004112MM10A,,2013-10-30,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-31,Risk of Violence,3,Low,2013-10-31,2014-10-14,2014-11-10,3,37,348,0,0 +8217,octavio arteaga,octavio,arteaga,2013-03-30,Male,1991-12-29,24,Less than 25,Hispanic,0,5,0,0,0,-1,2013-03-29 07:01:27,2013-04-30 08:30:02,13004538CF10A,2013-03-29,,1,F,Lewd/Lasc Battery Pers 12+/<16,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-30,Risk of Violence,4,Low,2013-03-30,2013-03-29,2013-04-30,0,31,1098,0,0 +8218,taylor irwin,taylor,irwin,2014-01-29,Female,1991-08-16,24,Less than 25,Caucasian,0,3,0,0,0,0,2014-01-29 03:03:39,2014-01-29 07:47:54,14001635MM10A,2014-01-29,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-29,Risk of Violence,3,Low,2014-01-29,2014-01-29,2014-01-29,0,0,793,0,0 +8219,duval briscoe,duval,briscoe,2013-02-20,Male,1986-10-30,29,25 - 45,African-American,0,3,0,0,3,-1,2013-02-19 03:34:37,2013-02-20 06:58:46,13003544MM10A,2013-02-19,,1,M,Battery,1,14032194TC40A,(F3),,2014-03-16,Leaving the Scene of Accident,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-20,Risk of Violence,4,Low,2013-02-20,2013-02-19,2013-02-20,3,0,389,1,1 +8220,bruno balbi,bruno,balbi,2013-09-11,Male,1982-12-28,33,25 - 45,Hispanic,0,2,0,0,3,,,,12012229CF10A,,2012-08-16,391,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-11,Risk of Violence,2,Low,2013-09-11,,,3,0,933,0,0 +8222,christopher montes,christopher,montes,2014-10-17,Male,1994-05-22,21,Less than 25,Caucasian,0,5,0,0,0,-1,2014-10-16 06:55:23,2014-10-17 08:00:15,14013979CF10A,2014-10-16,,1,F,Uttering a Forged Instrument,1,15008748MM10A,(M1),0,2015-08-18,Petit Theft $100- $300,2015-08-18,2015-08-19,,0,,,,,Risk of Recidivism,5,Medium,2014-10-17,Risk of Violence,5,Medium,2014-10-17,2015-01-19,2015-01-20,0,0,94,0,1 +8223,christina deperna,christina,deperna,2013-08-04,Female,1984-10-07,31,25 - 45,Caucasian,0,10,0,2,14,0,2013-08-04 03:14:06,2013-08-05 03:07:44,13010839CF10A,2013-08-03,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-04,Risk of Violence,5,Medium,2013-08-04,2013-08-04,2013-08-05,14,1,971,0,0 +8224,allan castro,allan,castro,2013-10-18,Male,1983-10-01,32,25 - 45,Hispanic,0,1,0,0,1,-15,2013-10-03 04:03:00,2013-10-06 02:04:04,13013893CF10A,2013-10-03,,15,F,Aggravated Assault W/o Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-18,Risk of Violence,1,Low,2013-10-18,2013-10-03,2013-10-06,1,0,896,0,0 +8225,lawrence bauman,lawrence,bauman,2013-10-11,Male,1953-06-28,62,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-11 04:48:23,2013-10-12 07:46:26,13019305MM10A,2013-10-11,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-11,Risk of Violence,1,Low,2013-10-11,2013-10-11,2013-10-12,0,1,903,0,0 +8226,charles jaycox,charles,jaycox,2014-09-22,Male,1976-09-27,39,25 - 45,Caucasian,0,6,0,0,3,-1,2014-09-21 02:28:25,2014-09-22 08:10:49,14012774CF10A,2014-09-21,,1,F,Driving While License Revoked,1,15007216TC10A,(M2),,2015-02-12,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,6,Medium,2014-09-22,Risk of Violence,2,Low,2014-09-22,2014-09-21,2014-09-22,3,0,143,1,1 +8230,earl trapp,earl,trapp,2013-10-23,Male,1959-04-23,56,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-10-22 04:47:28,2013-11-07 09:55:20,13020015MM10A,2013-10-21,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2014-05-08,2014-05-20,2,15,197,0,0 +8231,glenroy powell,glenroy,powell,2014-02-25,Male,1987-06-04,28,25 - 45,African-American,0,1,0,0,6,-1,2014-02-24 10:38:25,2014-02-25 09:41:08,14002618CF10A,2014-02-24,,1,F,Drivg While Lic Suspd/Revk/Can,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,2,Low,2014-02-25,2014-02-24,2014-02-25,6,0,766,0,0 +8232,dana reed,dana,reed,2013-12-30,Female,1989-05-02,26,25 - 45,African-American,0,6,0,0,6,-1,2013-12-29 04:37:10,2014-01-01 07:59:30,13016502CF10A,,2013-12-29,1,F,arrest case no charge,1,14003479MM10A,(M2),43,2014-01-06,Petit Theft,2014-02-18,2014-04-13,,1,15015491CF10A,(F2),2015-12-01,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-12-30,Risk of Violence,5,Medium,2013-12-30,2013-12-29,2014-01-01,6,2,7,1,1 +8235,terry cyrus,terry,cyrus,2013-01-29,Male,1991-10-06,24,Less than 25,African-American,0,9,0,0,5,-1,2013-01-28 10:35:54,2013-02-04 05:37:08,13001371CF10A,2013-01-28,,1,F,Strong Armed Robbery,1,14004638CF10A,(F2),,2013-05-22,Burglary Unoccupied Dwelling,,,,0,,,,,Risk of Recidivism,9,High,2013-01-29,Risk of Violence,7,Medium,2013-01-29,2013-01-28,2013-02-04,5,6,113,1,1 +8236,mauricio hostios,mauricio,hostios,2013-08-27,Male,1964-05-29,51,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-08-26 12:54:03,2013-08-26 08:14:39,13016292MM10A,2013-08-25,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-26,2013-08-26,0,0,948,0,0 +8237,israel guadalupe,israel,guadalupe,2013-03-06,Male,1965-03-29,51,Greater than 45,Hispanic,0,3,0,0,1,-1,2013-03-05 08:37:31,2013-03-08 11:12:12,13003295CF10A,2013-03-05,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-06,Risk of Violence,2,Low,2013-03-06,2013-03-05,2013-03-08,1,2,1122,0,0 +8239,kelvin oliphant,kelvin,oliphant,2013-02-02,Male,1987-09-05,28,25 - 45,African-American,0,10,0,1,7,-1,2013-02-01 07:05:02,2013-02-03 02:50:02,13001641CF10A,2013-02-01,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-02,Risk of Violence,6,Medium,2013-02-02,2013-06-13,2013-08-30,7,1,131,0,0 +8240,ramonda cheatham,ramonda,cheatham,2013-05-06,Female,1979-09-23,36,25 - 45,African-American,0,2,0,0,1,-1,2013-05-05 07:03:21,2013-05-06 09:22:37,13008712MM10A,2013-05-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-05,2013-05-06,1,0,1061,0,0 +8242,juan jiminez,juan,jiminez,2014-03-28,Male,1976-10-04,39,25 - 45,Hispanic,0,1,0,0,0,,,,14004098CF10A,2014-03-23,,5,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-28,Risk of Violence,1,Low,2014-03-28,,,0,0,735,0,0 +8245,erin balta,erin,balta,2013-03-04,Female,1978-02-15,38,25 - 45,Caucasian,0,1,0,0,0,0,2013-03-04 03:11:55,2013-03-05 02:25:38,13004434MM10A,2013-03-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-04,2013-03-05,0,1,1124,0,0 +8247,joseph mckinley,joseph,mckinley,2013-12-16,Male,1992-11-29,23,Less than 25,African-American,0,2,0,0,1,-2,2013-12-14 06:08:44,2013-12-15 01:45:57,13017295CF10A,2013-12-14,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,4,Low,2013-12-16,2014-06-02,2014-06-02,1,0,168,0,0 +8248,brian demore,brian,demore,2013-05-12,Male,1988-02-25,28,25 - 45,Caucasian,0,7,0,0,5,-1,2013-05-11 06:12:53,2013-06-06 09:39:09,13009112MM10A,2013-05-11,,1,M,Battery,1,13018947MM10A,(M1),0,2013-10-05,Battery,2013-10-05,2013-10-31,,1,13018947MM10A,(M1),2013-10-05,Battery,Risk of Recidivism,7,Medium,2013-05-12,Risk of Violence,5,Medium,2013-05-12,2013-10-05,2013-10-31,5,25,146,1,1 +8249,jennifer ingham,jennifer,ingham,2014-11-18,Female,1986-07-20,29,25 - 45,Caucasian,0,6,0,0,7,-1,2014-11-17 08:35:35,2014-11-25 09:30:34,14015479CF10A,,2014-11-17,1,F,arrest case no charge,1,15009071CF10A,(F3),0,2015-07-14,Neglect Child / No Bodily Harm,2015-07-14,2015-07-29,,0,,,,,Risk of Recidivism,6,Medium,2014-11-18,Risk of Violence,3,Low,2014-11-18,2015-07-14,2015-07-29,7,7,238,1,1 +8250,randolph soto,randolph,soto,2013-12-12,Male,1996-04-04,20,Less than 25,African-American,4,10,2,1,6,-70,2013-10-03 08:37:33,2013-12-02 11:27:39,13013865CF10A,,2013-10-03,70,F,arrest case no charge,1,14013244MM10A,(M1),0,2014-09-04,Unlaw Use False Name/Identity,2014-09-04,2015-04-02,,0,,,,,Risk of Recidivism,10,High,2013-12-12,Risk of Violence,10,High,2013-12-12,2014-02-27,2014-02-28,6,0,77,0,1 +8251,nadja parish,nadja,parish,2014-01-02,Female,1977-07-01,38,25 - 45,Other,0,1,0,0,0,-1,2014-01-01 07:04:41,2014-01-02 04:12:39,14000052CF10A,2014-01-01,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2014-01-01,2014-01-02,0,0,820,0,0 +8253,franceline librun,franceline,librun,2014-02-10,Male,1986-09-18,29,25 - 45,African-American,0,3,0,0,0,-1,2014-02-09 10:09:21,2014-02-11 06:47:33,14002253MM10A,2014-02-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-10,Risk of Violence,5,Medium,2014-02-10,2014-02-09,2014-02-11,0,1,781,0,0 +8254,shella rangoowala,shella,rangoowala,2013-11-14,Female,1981-05-16,34,25 - 45,Asian,0,1,0,0,1,-10,2013-11-04 10:25:43,2013-11-06 11:22:12,13015353CF10A,2013-11-04,,10,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-04,2013-11-06,1,0,869,0,0 +8256,tanarvis lawhorn,tanarvis,lawhorn,2013-05-17,Male,1987-01-13,29,25 - 45,African-American,0,3,0,0,11,-1,2013-05-16 07:42:12,2013-05-18 04:29:30,13007062CF10A,2013-05-16,,1,F,Driving While License Revoked,1,13039311TC10A,(M2),0,2013-10-01,Susp Drivers Lic 1st Offense,2013-10-01,2013-11-21,,0,,,,,Risk of Recidivism,3,Low,2013-05-17,Risk of Violence,4,Low,2013-05-17,2013-06-21,2013-08-18,11,1,35,0,1 +8257,johnior metayer,johnior,metayer,2013-12-23,Male,1981-09-20,34,25 - 45,African-American,0,7,0,0,8,-1,2013-12-22 05:47:01,2013-12-23 08:30:29,13023582MM10A,2013-12-22,,1,M,Battery,1,16011132TC20A,(M2),,2016-03-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-23,Risk of Violence,3,Low,2013-12-23,2015-11-13,2015-11-13,8,0,690,0,0 +8258,manuel taveras,manuel,taveras,2013-01-09,Male,1990-01-05,26,25 - 45,African-American,0,7,0,0,6,-1,2013-01-08 02:38:01,2013-01-10 03:49:51,13000319CF10A,2013-01-08,,1,F,Burglary Conveyance Armed,1,14011379CF10A,(F2),0,2014-08-20,Aggravated Battery / Pregnant,2014-08-20,2014-08-21,,1,14011379CF10A,(F2),2014-08-20,Aggravated Battery / Pregnant,Risk of Recidivism,7,Medium,2013-01-09,Risk of Violence,6,Medium,2013-01-09,2014-08-20,2014-08-21,6,1,588,1,1 +8259,donovan goode,donovan,goode,2013-10-02,Male,1957-11-11,58,Greater than 45,African-American,0,1,0,0,0,-1,2013-10-01 08:09:05,2013-10-03 12:13:46,13013796CF10A,2013-10-01,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-01,2013-10-03,0,1,912,0,0 +8260,michael marceau,michael,marceau,2013-02-08,Male,1978-07-07,37,25 - 45,Hispanic,0,5,0,0,6,-24,2013-01-15 12:37:37,2013-02-08 11:34:26,13000716CF10A,,2013-01-15,24,F,arrest case no charge,1,15054030TC40A,(M2),,2015-09-01,Operating W/O Valid License,,,,1,16000913CF10A,(F7),2016-01-22,Armed Kidnapping,Risk of Recidivism,5,Medium,2013-02-08,Risk of Violence,3,Low,2013-02-08,2014-01-31,2014-03-04,6,0,357,0,1 +8261,kevon obas,kevon,obas,2013-05-22,Male,1993-03-27,23,Less than 25,African-American,0,8,0,0,1,,,,13007334CF10A,,2013-05-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-22,Risk of Violence,9,High,2013-05-22,,,1,0,1045,0,0 +8262,robert walerowicz,robert,walerowicz,2014-08-21,Male,1967-06-27,48,Greater than 45,Caucasian,0,6,0,0,0,-6,2014-08-15 04:49:17,2014-08-16 02:20:01,14012334MM10A,2014-08-15,,6,M,Petit Theft,1,16000228MM40A,(M1),,2015-11-10,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2014-08-21,Risk of Violence,2,Low,2014-08-21,2014-08-15,2014-08-16,0,0,446,1,1 +8263,alton tuff,alton,tuff,2013-08-27,Male,1954-07-29,61,Greater than 45,African-American,0,2,0,0,9,253,2014-05-07 10:19:11,2014-08-11 01:36:50,12016064CF10A,,2012-11-02,298,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,2,Low,2013-08-27,2014-05-07,2014-08-11,9,0,253,0,0 +8264,jode harris,jode,harris,2014-11-01,Male,1985-04-30,30,25 - 45,African-American,0,3,0,0,1,-1,2014-10-31 06:09:53,2014-11-01 08:55:20,14014650CF10A,2014-10-31,,1,F,Battery on Law Enforc Officer,1,15005244MM10A,(M2),0,2015-05-11,Petit Theft,2015-05-11,2015-05-15,,0,,,,,Risk of Recidivism,3,Low,2014-11-01,Risk of Violence,3,Low,2014-11-01,2015-02-25,2015-03-11,1,0,116,0,1 +8265,robert raphel,robert,raphel,2014-03-18,Male,1971-07-19,44,25 - 45,African-American,0,3,0,0,0,-1,2014-03-17 11:17:35,2014-03-20 03:27:00,14003774CF10A,2014-03-17,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-18,Risk of Violence,3,Low,2014-03-18,2014-03-17,2014-03-20,0,2,745,0,0 +8266,anthony wright,anthony,wright,2013-03-26,Male,1990-03-11,26,25 - 45,African-American,0,7,0,0,3,1057,2016-02-16 12:57:47,2016-02-16 07:42:40,10017474CF10A,,2011-12-23,459,F,arrest case no charge,1,15003989MM40A,(M1),131,2015-10-08,Possess Drug Paraphernalia,2016-02-16,2016-02-16,,0,,,,,Risk of Recidivism,7,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,2016-02-16,2016-02-16,3,0,926,1,0 +8267,gregory lee,gregory,lee,2013-09-26,Male,1969-10-09,46,Greater than 45,African-American,0,3,0,0,3,-35,2013-08-22 01:15:43,2013-09-26 05:24:09,13011820CF10A,2013-08-22,,35,F,Stalking (Aggravated),1,13023854MM10A,(M1),87,2013-11-03,Restraining Order Dating Viol,2014-01-29,2014-02-15,,1,15001070CF10A,(F3),2015-01-23,Aggravated Assault w/Firearm,Risk of Recidivism,3,Low,2013-09-26,Risk of Violence,3,Low,2013-09-26,2015-01-23,2015-06-19,3,0,38,1,1 +8268,justin marcello,justin,marcello,2013-11-05,Male,1979-08-11,36,25 - 45,Caucasian,0,3,0,0,5,-1,2013-11-04 12:41:52,2013-11-08 04:57:49,13015345CF10A,2013-11-04,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-05,Risk of Violence,1,Low,2013-11-05,2013-11-04,2013-11-08,5,3,878,0,0 +8269,cheryl robinson,cheryl,robinson,2013-02-07,Female,1986-12-04,29,25 - 45,African-American,0,9,1,0,11,-1,2013-02-06 07:46:23,2013-03-01 11:13:04,12009003CF10A,,2013-02-06,1,F,arrest case no charge,1,13080042TC40A,(M2),124,2013-11-17,Fail Register Vehicle,2014-03-21,2014-03-22,,0,,,,,Risk of Recidivism,9,High,2013-02-07,Risk of Violence,5,Medium,2013-02-07,2013-02-06,2013-03-01,11,22,283,1,1 +8277,forlisha rolle,forlisha,rolle,2013-03-18,Female,1992-09-29,23,Less than 25,Other,0,6,0,0,0,-1,2013-03-17 11:48:46,2013-03-18 02:22:20,13005227MM10A,2013-03-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-18,Risk of Violence,6,Medium,2013-03-18,2013-03-17,2013-03-18,0,0,1110,0,0 +8278,jarone douse,jarone,douse,2013-04-14,Male,1962-10-10,53,Greater than 45,African-American,0,6,0,0,3,-1,2013-04-13 10:46:45,2013-04-19 08:34:22,13005333CF10A,2013-04-13,,1,F,Aggravated Battery,1,14000894MM20A,(M2),,2014-03-21,Petit Theft,,,,1,15007652CF10A,(F3),2015-06-12,Battery on Law Enforc Officer,Risk of Recidivism,6,Medium,2013-04-14,Risk of Violence,1,Low,2013-04-14,2013-04-13,2013-04-19,3,5,341,1,1 +8279,christopher sohit,christopher,sohit,2013-04-30,Male,1982-08-12,33,25 - 45,Other,0,3,0,0,5,1027,2016-02-21 01:53:34,2016-02-23 11:28:11,12014773CF10A,,2012-10-07,205,F,arrest case no charge,1,16001401MM10A,(M1),,2016-01-27,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-30,Risk of Violence,2,Low,2013-04-30,2016-02-21,2016-02-23,5,0,1002,1,0 +8280,travis bryant,travis,bryant,2013-08-02,Male,1981-01-09,35,25 - 45,African-American,0,6,0,0,8,-1,2013-08-01 07:39:02,2013-08-10 07:34:46,13014514MM10A,2013-08-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-02,Risk of Violence,4,Low,2013-08-02,2013-08-01,2013-08-10,8,8,973,0,0 +8281,joann daley,joann,daley,2013-04-12,Female,1976-10-05,39,25 - 45,Caucasian,0,3,0,0,3,-1,2013-04-11 11:29:38,2013-04-12 12:46:49,05002511CF10A,,2005-05-19,2885,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-12,Risk of Violence,1,Low,2013-04-12,2013-04-11,2013-04-12,3,0,1085,0,0 +8282,carlos delatorre,carlos,delatorre,2013-09-22,Male,1995-03-23,21,Less than 25,Hispanic,1,8,0,0,1,-1,2013-09-21 09:01:29,2013-11-15 09:37:13,13013332CF10A,2013-09-21,,1,F,Felony Battery (Dom Strang),1,14007463MM10A,(M1),0,2014-05-06,Possess Cannabis/20 Grams Or Less,2014-05-06,2014-05-07,,1,14008214MM10A,(M1),2014-05-21,Battery,Risk of Recidivism,8,High,2013-09-22,Risk of Violence,6,Medium,2013-09-22,2014-05-06,2014-05-07,1,54,226,1,1 +8283,casey rossi,casey,rossi,2013-02-07,Female,1990-02-23,26,25 - 45,Caucasian,0,6,0,0,2,0,2013-02-07 02:12:15,2013-03-12 02:45:13,13001904CF10A,2013-02-07,,0,F,Purchase Cannabis,1,13002788MM40A,(M1),271,2013-06-21,Petit Theft/ Prior Conviction,2014-03-19,2014-03-26,,0,,,,,Risk of Recidivism,6,Medium,2013-02-07,Risk of Violence,4,Low,2013-02-07,2013-02-07,2013-03-12,2,33,134,1,1 +8284,justin thomas,justin,thomas,2014-06-26,Male,1990-03-20,26,25 - 45,African-American,1,9,0,0,10,-1,2014-06-25 06:52:09,2014-06-26 09:02:39,14008754CF10A,,2014-06-25,1,F,arrest case no charge,1,14014516MM10A,(M1),0,2014-10-02,Obstruct Officer By Disguise,2014-10-02,2014-11-01,,1,14014516MM10A,(M1),2014-10-02,Battery,Risk of Recidivism,9,High,2014-06-26,Risk of Violence,5,Medium,2014-06-26,2014-10-02,2014-11-01,10,0,98,1,1 +8285,tawan bell,tawan,bell,2014-06-25,Male,1987-08-21,28,25 - 45,African-American,0,6,0,0,8,-1,2014-06-24 09:58:04,2014-06-25 08:17:37,14009829MM10A,2014-06-24,,1,M,Battery,1,15025255TC40A,(M2),,2015-04-25,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,6,Medium,2014-06-25,Risk of Violence,6,Medium,2014-06-25,2014-06-24,2014-06-25,8,0,304,1,1 +8287,chasity acevedo,chasity,acevedo,2013-05-16,Female,1995-02-26,21,Less than 25,Caucasian,0,7,3,1,3,-1,2013-05-15 08:46:36,2013-05-16 08:50:20,13009386MM10A,2013-05-15,,1,M,Battery,1,13023229MM10A,(M1),0,2013-12-15,Battery,2013-12-15,2014-01-16,,1,13023229MM10A,(M1),2013-12-15,Battery,Risk of Recidivism,7,Medium,2013-05-16,Risk of Violence,7,Medium,2013-05-16,2013-12-15,2014-01-16,3,0,213,1,1 +8288,roger brown,roger,brown,2013-01-14,Male,1978-09-06,37,25 - 45,African-American,0,5,0,0,8,-1,2013-01-13 05:05:40,2013-01-27 09:09:14,13000605CF10A,,2013-01-13,1,F,arrest case no charge,1,15001900MM10A,(M1),0,2015-02-15,Trespass Other Struct/Conve,2015-02-15,2015-02-16,,0,,,,,Risk of Recidivism,5,Medium,2013-01-14,Risk of Violence,2,Low,2013-01-14,2015-02-15,2015-02-16,8,13,762,1,0 +8289,rodolfo gonzalez,rodolfo,gonzalez,2013-07-11,Male,1987-03-16,29,25 - 45,Caucasian,0,6,0,0,1,-77,2013-04-25 06:06:31,2013-04-26 04:08:56,13005973CF10A,2013-04-25,,77,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-11,Risk of Violence,3,Low,2013-07-11,2013-04-25,2013-04-26,1,0,995,0,0 +8290,jacob johnson,jacob,johnson,2014-10-06,Male,1993-05-27,22,Less than 25,African-American,1,10,0,0,12,0,2014-10-06 02:59:38,2014-11-10 09:14:48,14013485CF10A,2014-10-06,,0,F,Possession of Cocaine,1,15001623MM10A,(M1),0,2015-02-08,Trespass Other Struct/Convey,2015-02-08,2015-02-12,,0,,,,,Risk of Recidivism,10,High,2014-10-06,Risk of Violence,8,High,2014-10-06,2015-02-08,2015-02-12,12,35,125,1,1 +8291,chris ingraham,chris,ingraham,2013-05-21,Male,1956-12-25,59,Greater than 45,African-American,0,1,0,0,4,-66,2013-03-16 01:44:05,2013-05-21 11:04:46,12013966MM10A,,2013-03-15,67,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-21,Risk of Violence,1,Low,2013-05-21,2013-03-16,2013-05-21,4,0,1046,0,0 +8292,frantz abelard,frantz,abelard,2013-03-20,Male,1987-11-26,28,25 - 45,African-American,0,10,8,2,12,-1,2013-03-19 04:16:36,2013-06-03 10:48:27,13003969CF10A,2013-03-19,,1,F,Possession of Cocaine,1,14005713TC10A,(M2),,2014-01-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-03-20,Risk of Violence,7,Medium,2013-03-20,2013-03-19,2013-06-03,12,75,295,1,1 +8294,celia wagner,celia,wagner,2014-01-17,Female,1960-01-30,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-16 07:55:33,2014-01-17 01:26:59,14000848MM10A,2014-01-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-17,Risk of Violence,1,Low,2014-01-17,2014-01-16,2014-01-17,0,0,805,0,0 +8296,stephanie sawyer,stephanie,sawyer,2013-08-01,Female,1983-12-14,32,25 - 45,Caucasian,0,6,0,0,2,,,,13008784TC10A,2013-02-11,,171,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-01,Risk of Violence,3,Low,2013-08-01,,,2,0,974,0,0 +8298,matthew lingwood,matthew,lingwood,2014-01-28,Male,1985-08-15,30,25 - 45,Caucasian,0,2,0,0,0,-1,2014-01-27 01:38:16,2014-01-27 06:54:27,14001127CF10A,2014-01-26,,2,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-28,Risk of Violence,2,Low,2014-01-28,2014-01-27,2014-01-27,0,0,794,0,0 +8299,travis sweeting,travis,sweeting,2013-09-09,Male,1988-11-19,27,25 - 45,African-American,0,4,0,0,2,-1,2013-09-08 08:07:45,2013-09-11 08:26:49,13012698CF10A,2013-09-08,,1,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-09,Risk of Violence,3,Low,2013-09-09,2014-06-11,2014-06-20,2,2,275,0,0 +8301,perle roques,perle,roques,2013-02-05,Male,1987-04-17,29,25 - 45,Other,0,2,0,0,0,-1,2013-02-04 10:30:41,2013-02-06 08:54:44,13001742CF10A,2013-02-04,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-05,Risk of Violence,2,Low,2013-02-05,2013-02-04,2013-02-06,0,1,1151,0,0 +8303,jonathon irving,jonathon,irving,2013-07-15,Male,1991-07-25,24,Less than 25,African-American,0,4,0,0,1,216,2014-02-16 11:32:33,2014-02-17 05:30:00,11013082CF10A,,2012-09-20,298,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-15,Risk of Violence,4,Low,2013-07-15,2014-02-16,2014-02-17,1,0,216,0,0 +8304,kristen adams,kristen,adams,2013-09-26,Female,1988-07-14,27,25 - 45,Caucasian,0,10,0,0,6,-1,2013-09-25 04:05:03,2013-09-26 08:46:37,13013512CF10A,2013-09-25,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-26,Risk of Violence,9,High,2013-09-26,2014-07-09,2014-07-10,6,0,286,0,0 +8306,claudel galette,claudel,galette,2013-05-18,Male,1972-05-15,43,25 - 45,African-American,0,9,0,0,15,-1,2013-05-17 09:20:47,2013-05-18 07:39:32,13009562MM10A,2013-05-17,,1,M,Resist/Obstruct W/O Violence,1,13009426CF10A,(F3),1,2013-07-05,Tamper With Witness/Victim/CI,2013-07-06,2014-05-07,,1,13009426CF10A,(F3),2013-07-05,Felony Battery w/Prior Convict,Risk of Recidivism,9,High,2013-05-18,Risk of Violence,6,Medium,2013-05-18,2015-12-01,2020-01-01,15,0,48,1,1 +8307,patrice healey,patrice,healey,2014-02-04,Female,1963-04-02,53,Greater than 45,African-American,0,6,0,0,5,-1,2014-02-03 06:26:31,2014-02-05 01:44:53,14001595CF10A,2014-02-03,,1,F,Unlicensed Telemarketing,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-04,Risk of Violence,4,Low,2014-02-04,2014-02-03,2014-02-05,5,1,787,0,0 +8308,keric hadden,keric,hadden,2013-08-07,Male,1988-08-08,27,25 - 45,African-American,1,7,0,0,6,-1,2013-08-06 11:10:26,2013-08-07 08:38:20,13011013CF10A,2013-08-06,,1,F,Issuing a Worthless Draft,1,14013396MO10A,(MO3),0,2014-09-08,Trespass Structure/Conveyance,2014-09-08,2014-09-13,,0,,,,,Risk of Recidivism,7,Medium,2013-08-07,Risk of Violence,8,High,2013-08-07,2014-09-08,2014-09-13,6,0,397,1,1 +8309,andrae cray,andrae,cray,2013-10-23,Male,1990-03-08,26,25 - 45,African-American,0,5,1,0,6,-8,2013-10-15 07:14:52,2013-10-17 05:10:33,12015557TC10A,,2013-10-15,8,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-23,Risk of Violence,4,Low,2013-10-23,2015-07-17,2015-08-01,6,0,632,0,0 +8311,veronica leonard,veronica,leonard,2013-01-07,Female,1991-09-29,24,Less than 25,Caucasian,0,6,0,0,1,-1,2013-01-06 06:05:41,2013-01-07 01:30:24,11005355CF10A,,2013-01-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-07,Risk of Violence,6,Medium,2013-01-07,2013-01-06,2013-01-07,1,0,1180,0,0 +8312,ty-shawn smith,ty-shawn,smith,2013-10-25,Male,1985-12-31,30,25 - 45,African-American,0,6,0,0,0,0,2013-10-25 03:07:46,2013-10-25 07:52:05,13014922CF10A,2013-10-25,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2013-10-25,2013-10-25,0,0,889,0,0 +8313,carl mair,carl,mair,2014-04-12,Male,1960-03-08,56,Greater than 45,Other,0,2,0,0,6,-1,2014-04-11 06:18:15,2014-04-13 05:08:38,14005076CF10A,2014-04-11,,1,F,Possession of Cocaine,1,15004725CF10A,(F3),0,2015-04-09,Possession of Cocaine,2015-04-09,2015-07-06,,0,,,,,Risk of Recidivism,2,Low,2014-04-12,Risk of Violence,1,Low,2014-04-12,2014-08-07,2014-08-14,6,1,117,0,1 +8314,kharee woods,kharee,woods,2013-01-22,Male,1989-10-09,26,25 - 45,African-American,0,9,0,0,4,-1,2013-01-21 11:29:04,2013-01-22 09:38:34,13000961CF10A,2013-01-21,,1,F,Driving While License Revoked,1,15027878TC40A,(M2),,2015-05-08,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-01-22,Risk of Violence,7,Medium,2013-01-22,2013-06-21,2013-07-01,4,0,150,0,0 +8315,ronnie dryden,ronnie,dryden,2014-07-18,Male,1991-08-20,24,Less than 25,African-American,2,6,1,0,3,0,2014-07-18 02:10:30,2014-07-18 08:24:14,14011016MM10A,2014-07-18,,0,M,Battery,1,15008624TC20A,(M2),,2015-02-01,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,6,Medium,2014-07-18,Risk of Violence,8,High,2014-07-18,2014-07-18,2014-07-18,3,0,198,1,1 +8316,carlos lopes,carlos,lopes,2013-04-01,Male,1986-03-21,30,25 - 45,Hispanic,0,3,0,0,6,-10,2013-03-22 11:19:03,2013-03-23 10:25:44,13012397TC10A,2013-03-22,,10,M,Unlaw LicTag/Sticker Attach,1,13005952CF10A,(F3),,2013-04-24,Driving While License Revoked,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-01,Risk of Violence,2,Low,2013-04-01,2013-04-25,2013-04-25,6,0,23,1,1 +8317,ruben santiago,ruben,santiago,2014-02-21,Male,1979-02-19,37,25 - 45,Hispanic,0,5,0,0,4,,,,12010699CF10A,2012-07-20,,581,F,Conspiracy to Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,2,Low,2014-02-21,2009-01-22,2009-02-01,4,0,770,0,0 +8318,george turner,george,turner,2013-05-06,Male,1961-05-23,54,Greater than 45,African-American,0,1,0,0,4,-1,2013-05-05 04:15:11,2013-05-07 03:53:33,11017440CF10A,,2013-05-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-05,2013-05-07,4,1,1061,0,0 +8319,shawn claudio-nieves,shawn,claudio-nieves,2014-12-15,Male,1993-04-08,23,Less than 25,Hispanic,0,5,0,0,0,0,2014-12-15 05:40:47,2014-12-16 01:34:39,14016617CF10A,,2014-12-15,0,F,arrest case no charge,1,15000667CF10A,(F3),403,2015-01-15,Grand Theft in the 3rd Degree,2016-02-22,2016-02-23,,0,,,,,Risk of Recidivism,5,Medium,2014-12-15,Risk of Violence,4,Low,2014-12-15,2014-12-15,2014-12-16,0,1,31,1,1 +8320,joseph graham,joseph,graham,2014-07-14,Male,1990-12-22,25,25 - 45,Other,0,4,0,0,1,-1,2014-07-13 06:53:47,2014-09-19 07:37:16,14009572CF10A,2014-07-13,,1,F,D.U.I. Serious Bodily Injury,1,15007529MM10A,(M1),0,2015-07-14,Resist/Obstruct W/O Violence,2015-07-14,2015-07-15,,0,,,,,Risk of Recidivism,4,Low,2014-07-14,Risk of Violence,5,Medium,2014-07-14,2015-07-14,2015-07-15,1,67,365,1,1 +8321,sean toltin,sean,toltin,2013-09-26,Female,1968-02-23,48,Greater than 45,African-American,0,6,0,3,18,-85,2013-07-03 11:07:01,2013-08-26 12:24:32,13009527CF10A,,2013-07-04,84,F,arrest case no charge,1,14007694CF10A,(F3),29,2013-11-21,Grand Theft on 65 Yr or Older,2013-12-20,2013-12-23,,0,,,,,Risk of Recidivism,6,Medium,2013-09-26,Risk of Violence,1,Low,2013-09-26,2015-01-29,2020-01-01,18,0,56,1,1 +8322,niketa harmon,niketa,harmon,2014-06-13,Female,1979-11-24,36,25 - 45,African-American,0,9,0,0,13,-1,2014-06-12 01:49:23,2014-07-15 08:37:41,14008157CF10A,2014-06-12,,1,F,Possession of Cocaine,1,14013705MM10A,(M1),0,2014-09-15,Possess Drug Paraphernalia,2014-09-15,2014-10-29,,0,,,,,Risk of Recidivism,9,High,2014-06-13,Risk of Violence,3,Low,2014-06-13,2014-09-15,2014-10-29,13,32,94,1,1 +8325,john moye,john,moye,2013-02-20,Male,1994-12-14,21,Less than 25,African-American,0,10,0,0,1,0,2013-02-20 04:11:03,2013-02-21 02:12:04,13005856CF10A,2013-02-20,,0,F,Grand Theft in the 3rd Degree,1,13013646MM10A,(M1),0,2013-07-18,Petit Theft/ Prior Conviction,2013-07-18,2013-07-19,,0,,,,,Risk of Recidivism,10,High,2013-02-20,Risk of Violence,10,High,2013-02-20,2013-07-18,2013-07-19,1,1,148,1,1 +8326,paul kolb,paul,kolb,2014-10-14,Male,1989-12-08,26,25 - 45,Caucasian,0,5,0,0,10,-1,2014-10-13 07:48:15,2014-10-14 11:10:36,14009980CF10A,,2014-10-13,1,F,arrest case no charge,1,15002200MM40A,(M1),,2015-05-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2014-10-14,Risk of Violence,4,Low,2014-10-14,2014-10-13,2014-10-14,10,0,216,1,1 +8328,daniel cortes,daniel,cortes,2014-10-04,Male,1990-04-03,26,25 - 45,Caucasian,0,8,0,3,10,0,2014-10-04 06:08:11,2014-10-05 02:46:08,14035976MU10A,2014-10-04,,0,M,Driving License Suspended,1,15006963TC30A,(M1),41,2015-01-20,Opert With Susp DL 2nd Offens,2015-03-02,2015-03-03,,1,15013465CF10A,(F2),2015-10-16,Agg Fleeing/Eluding High Speed,Risk of Recidivism,8,High,2014-10-04,Risk of Violence,7,Medium,2014-10-04,2015-01-06,2015-01-15,10,1,94,0,1 +8340,richard daniels,richard,daniels,2013-05-29,Male,1970-06-16,45,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-28 12:08:40,2013-05-29 02:13:09,13007626CF10A,2013-05-28,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-28,2013-05-29,0,0,1038,0,0 +8341,irving tepper,irving,tepper,2013-11-13,Male,1968-07-10,47,Greater than 45,Caucasian,0,5,0,0,1,-1,2013-11-12 11:13:35,2013-11-13 01:03:30,13021316MM10A,2013-11-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-13,Risk of Violence,3,Low,2013-11-13,2013-11-12,2013-11-13,1,0,870,0,0 +8343,ryan reyes,ryan,reyes,2013-05-09,Male,1985-12-19,30,25 - 45,Hispanic,0,8,0,0,7,269,2014-02-02 01:24:30,2014-02-02 08:03:53,12018195CF10A,2012-12-14,,146,F,Possession of Cannabis,1,14003988MU10A,(M1),1,2014-02-01,Opert With Susp DL 2nd Offens,2014-02-02,2014-02-02,,1,15012048CF10A,(F3),2015-08-04,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2013-05-09,Risk of Violence,7,Medium,2013-05-09,2015-11-05,2015-11-06,7,0,268,1,1 +8344,christopher mozie,christopher,mozie,2013-01-12,Male,1974-09-20,41,25 - 45,African-American,2,8,0,1,14,41,2013-02-22 09:34:42,2013-02-28 07:59:52,13000853MO10A,,2013-01-11,1,M,arrest case no charge,1,13003742MO40A,(MO3),0,2013-09-20,Carry Open/Uncov Bev In Pub,2013-09-20,2013-09-21,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,9,High,2013-01-12,2013-02-22,2013-02-28,14,0,41,0,1 +8347,gregory steele,gregory,steele,2013-02-15,Male,1965-11-23,50,Greater than 45,Caucasian,0,2,0,0,1,693,2015-01-09 12:32:07,2015-03-06 03:04:36,08015707CF10A,,2012-10-01,137,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-15,Risk of Violence,4,Low,2013-02-15,2015-01-09,2015-03-06,1,0,693,0,0 +8348,henry zukowski,henry,zukowski,2014-01-29,Male,1958-07-31,57,Greater than 45,Caucasian,0,1,0,0,3,-52,2013-12-08 01:54:51,2013-12-20 09:17:41,13016970CF10A,2013-12-08,,52,M,Fraud Obtain Food or Lodging,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-29,Risk of Violence,1,Low,2014-01-29,2013-12-08,2013-12-20,3,0,793,0,0 +8349,eric saddler,eric,saddler,2013-05-17,Male,1984-08-21,31,25 - 45,African-American,0,1,0,0,2,-1,2013-05-16 11:28:32,2013-05-18 04:21:53,13007041CF10A,2013-05-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-17,Risk of Violence,2,Low,2013-05-17,2013-05-16,2013-05-18,2,1,1050,0,0 +8350,jeremy thompson,jeremy,thompson,2013-11-16,Male,1994-06-14,21,Less than 25,African-American,0,7,0,0,0,-1,2013-11-15 07:20:43,2013-11-17 02:45:00,13015897CF10A,2013-11-15,,1,F,Uttering a Forged Instrument,1,14002227CF10A,(F3),0,2014-02-17,Possession of Cocaine,2014-02-17,2014-06-17,,0,,,,,Risk of Recidivism,7,Medium,2013-11-16,Risk of Violence,7,Medium,2013-11-16,2014-02-17,2014-06-17,0,1,93,1,1 +8353,janice watkins,janice,watkins,2013-10-01,Female,1987-10-25,28,25 - 45,African-American,1,4,0,0,1,-1,2013-09-30 10:41:28,2013-10-01 07:40:06,13018601MM10A,2013-09-30,,1,M,Battery,1,14001166MM30A,(M2),,2014-07-16,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-01,Risk of Violence,7,Medium,2013-10-01,2013-09-30,2013-10-01,1,0,288,1,1 +8354,john ballard,john,ballard,2013-04-03,Male,1986-11-25,29,25 - 45,Caucasian,1,8,0,1,9,-1,2013-04-02 08:03:59,2013-04-04 05:15:36,13004713CF10A,2013-04-02,,1,F,Tampering With Physical Evidence,1,13005636CF10A,(F3),0,2013-04-19,Possession of Hydrocodone,2013-04-19,2013-07-06,,0,,,,,Risk of Recidivism,8,High,2013-04-03,Risk of Violence,7,Medium,2013-04-03,2013-04-19,2013-07-06,9,1,16,1,1 +8355,phillip powell,phillip,powell,2013-12-17,Male,1988-03-21,28,25 - 45,African-American,0,4,0,0,2,-1,2013-12-16 10:24:07,2013-12-17 01:08:11,13017379CF10A,2013-12-16,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-17,Risk of Violence,4,Low,2013-12-17,2013-12-16,2013-12-17,2,0,836,0,0 +8356,bianca nani,bianca,nani,2013-07-29,Female,1990-05-11,25,25 - 45,Caucasian,0,4,0,0,1,-2,2013-07-27 02:28:39,2013-07-28 02:02:11,13014222MM10A,2013-07-27,,2,M,Aide/Abet Prostitution Lewdness,1,13017312MM10A,(M2),0,2013-09-11,Petit Theft,2013-09-11,2013-09-12,,0,,,,,Risk of Recidivism,4,Low,2013-07-29,Risk of Violence,4,Low,2013-07-29,2013-09-11,2013-09-12,1,0,44,1,1 +8357,kimani ogarro,kimani,ogarro,2013-02-12,Male,1993-05-08,22,Less than 25,African-American,0,3,0,0,0,-1,2013-02-11 06:17:17,2013-02-12 08:09:43,13002114CF10A,2013-02-11,,1,F,Grand Theft in the 3rd Degree,1,13001673MM20A,(M1),,2013-06-17,Trespass Other Struct/Convey,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-12,Risk of Violence,5,Medium,2013-02-12,2013-04-03,2013-04-12,0,0,50,0,1 +8358,shawntoria jefferson,shawntoria,jefferson,2013-10-10,Female,1994-06-23,21,Less than 25,African-American,0,6,0,0,0,-1,2013-10-09 09:17:03,2013-10-10 08:01:27,13014168CF10A,2013-10-09,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-10,Risk of Violence,7,Medium,2013-10-10,2013-10-09,2013-10-10,0,0,904,0,0 +8359,jose rodriguez,jose,rodriguez,2013-02-11,Male,1967-07-26,48,Greater than 45,Caucasian,0,8,0,0,0,-1,2013-02-10 08:35:46,2013-04-19 10:22:54,13002067CF10A,2013-02-10,,1,F,Grand Theft in the 3rd Degree,1,14001207CF10A,(F3),404,2013-12-28,Grand Theft in the 3rd Degree,2015-02-05,2015-02-12,,0,,,,,Risk of Recidivism,8,High,2013-02-11,Risk of Violence,3,Low,2013-02-11,2013-02-10,2013-04-19,0,67,320,1,1 +8360,jordan douglas,jordan,douglas,2014-02-27,Male,1991-03-17,25,25 - 45,African-American,0,9,0,1,4,-1,2014-02-26 05:42:51,2014-08-15 03:57:35,14002740CF10A,2014-02-26,,1,F,Burglary Unoccupied Dwelling,1,15072982TC40A,(M2),,2015-12-26,Fail Register Vehicle,,,,1,16000178MM10A,(M1),2016-01-05,Battery,Risk of Recidivism,9,High,2014-02-27,Risk of Violence,8,High,2014-02-27,2015-02-20,2015-03-03,4,169,358,0,1 +8361,james adams,james,adams,2013-10-17,Male,1978-10-02,37,25 - 45,African-American,0,7,0,0,7,-1,2013-10-16 02:11:36,2013-10-17 07:39:15,13014487CF10A,2013-10-16,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-17,Risk of Violence,3,Low,2013-10-17,2014-04-06,2014-04-07,7,0,171,0,0 +8362,richard canovaca,richard,canovaca,2013-03-04,Male,1985-01-10,31,25 - 45,Caucasian,0,6,0,0,5,0,2013-03-04 01:27:32,2013-03-04 08:33:14,13003220CF10A,2013-03-03,,1,F,Tampering With Physical Evidence,1,15001657CF10A,(F3),0,2015-02-05,Possession of Cocaine,2015-02-05,2015-02-06,,0,,,,,Risk of Recidivism,6,Medium,2013-03-04,Risk of Violence,4,Low,2013-03-04,2015-02-05,2015-02-06,5,0,703,1,1 +8364,muzaffer kilic,muzaffer,kilic,2013-12-18,Male,1960-01-01,56,Greater than 45,Other,0,1,0,0,0,-1,2013-12-17 08:41:27,2013-12-24 10:49:15,13023380MM10A,2013-12-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-18,Risk of Violence,1,Low,2013-12-18,2013-12-17,2013-12-24,0,6,835,0,0 +8365,edgar christie,edgar,christie,2013-04-20,Male,1991-09-15,24,Less than 25,African-American,0,3,0,0,0,-1,2013-04-19 07:16:54,2013-04-20 07:45:15,13007624MM10A,2013-04-19,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-04-19,2013-04-20,0,0,1077,0,0 +8367,giorgio baker,giorgio,baker,2013-03-07,Male,1986-01-21,30,25 - 45,African-American,0,10,0,0,15,-1,2013-03-06 07:32:57,2013-06-08 07:25:08,13003358CF10A,2013-03-06,,1,F,Live on Earnings of Prostitute,1,14007971CF10A,(F3),0,2014-06-09,Possession of Cannabis,2014-06-09,2014-10-28,,0,,,,,Risk of Recidivism,10,High,2013-03-07,Risk of Violence,9,High,2013-03-07,2014-03-06,2014-03-11,15,93,364,0,1 +8369,william taylor,william,taylor,2013-04-02,Male,1968-06-17,47,Greater than 45,Caucasian,0,2,0,0,5,-1,2013-04-01 10:51:38,2013-04-06 07:54:08,13006247MM10A,2013-04-01,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-02,Risk of Violence,3,Low,2013-04-02,2013-04-01,2013-04-06,5,4,1095,0,0 +8373,anthony fasano,anthony,fasano,2013-04-04,Male,1950-03-06,66,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-04-03 11:44:55,2013-05-30 08:03:33,13006498MM10A,2013-04-03,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,2013-04-03,2013-05-30,2,56,1093,0,0 +8375,stephen brown,stephen,brown,2013-03-19,Male,1964-04-25,51,Greater than 45,African-American,0,8,0,0,21,-1,2013-03-18 03:54:57,2014-06-10 06:16:29,13003951CF10A,,2013-03-18,1,F,arrest case no charge,1,16002866CF10A,(F3),,2016-03-06,Driving While License Revoked,,,,0,,,,,Risk of Recidivism,8,High,2013-03-19,Risk of Violence,3,Low,2013-03-19,2014-06-10,2015-10-12,21,937,1083,1,1 +8378,nicholas capiola,nicholas,capiola,2014-05-01,Male,1951-11-02,64,Greater than 45,Caucasian,0,10,0,0,8,-290,2013-07-15 01:50:21,2014-05-01 10:36:00,13009927CF10A,2013-07-15,,290,F,Grand Theft in the 3rd Degree,1,15009260MM10A,(M2),0,2015-09-01,Disorderly Conduct,2015-09-01,2015-09-03,,0,,,,,Risk of Recidivism,10,High,2014-05-01,Risk of Violence,6,Medium,2014-05-01,2015-09-01,2015-09-03,8,0,488,1,1 +8379,christopher sheehan,christopher,sheehan,2013-10-04,Male,1939-09-27,76,Greater than 45,Asian,0,1,0,0,0,-2,2013-10-02 12:20:37,2013-10-04 12:06:04,13013779CF10A,2013-10-01,,3,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,1,Low,2013-10-04,2013-10-02,2013-10-04,0,0,910,0,0 +8380,jaqueline ventura,jaqueline,ventura,2013-05-22,Female,1987-05-30,28,25 - 45,Caucasian,0,6,0,0,3,0,2013-05-22 02:14:08,2013-05-22 07:31:59,11009593CF10A,2011-06-02,,720,F,Burglary Structure Unoccup,1,13014047CF10A,(F3),,2013-05-31,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-22,2013-05-22,3,0,9,1,1 +8381,lesean mountain,lesean,mountain,2013-05-05,Male,1980-06-06,35,25 - 45,African-American,0,4,0,0,1,0,2013-05-05 01:29:39,2013-05-06 07:57:31,13008717MM10A,2013-05-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-05,Risk of Violence,4,Low,2013-05-05,2013-05-05,2013-05-06,1,1,1062,0,0 +8382,kenold jean,kenold,jean,2013-10-24,Male,1971-08-15,44,25 - 45,Other,0,1,0,0,6,-1,2013-10-23 11:26:35,2013-10-26 03:38:57,13014825CF10A,2013-10-23,,1,F,Felony Driving While Lic Suspd,1,15051752TC20A,(M2),,2015-09-16,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,2013-10-23,2013-10-26,6,2,692,1,1 +8384,shawanna oussifi,shawanna,oussifi,2013-02-19,Female,1976-08-20,39,25 - 45,African-American,0,3,0,0,3,,,,12011145CF10A,2012-07-27,,207,F,Arson in the First Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,,,3,0,1137,0,0 +8385,emanuel amenta,emanuel,amenta,2013-01-09,Male,1977-04-29,38,25 - 45,Hispanic,1,7,0,1,7,-1,2013-01-08 03:12:14,2013-01-09 07:07:52,13000330CF10A,2013-01-08,,1,F,Felony Battery (Dom Strang),1,13004405TC20A,(M2),,2013-01-11,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-09,Risk of Violence,2,Low,2013-01-09,2014-11-10,2014-11-18,7,0,2,1,1 +8386,hope roberts,hope,roberts,2013-09-05,Male,1991-12-12,24,Less than 25,African-American,0,5,0,0,0,-1,2013-09-04 07:48:04,2013-09-06 08:35:11,13012494CF10A,2013-09-04,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-05,Risk of Violence,5,Medium,2013-09-05,2013-09-04,2013-09-06,0,1,939,0,0 +8389,andrew sutton,andrew,sutton,2013-03-14,Male,1988-11-18,27,25 - 45,Caucasian,0,9,0,0,4,,,,12014025CF10A,2012-09-22,,173,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-14,Risk of Violence,9,High,2013-03-14,,,4,0,1114,0,0 +8390,joshua colon,joshua,colon,2013-02-22,Male,1979-07-06,36,25 - 45,Caucasian,0,3,0,0,0,-1,2013-02-21 09:36:26,2013-02-22 07:13:08,13002696CF10A,2013-02-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-22,Risk of Violence,4,Low,2013-02-22,2014-06-11,2014-06-18,0,0,474,0,0 +8392,jonathan sanchez-rodriguez,jonathan,sanchez-rodriguez,2014-11-22,Male,1995-07-07,20,Less than 25,Hispanic,0,6,0,0,0,-1,2014-11-21 04:19:03,2014-12-16 09:09:48,14015712CF10A,2014-11-21,,1,F,Corrupt Public Servant,1,14016948CF10A,(F3),,2014-12-22,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,6,Medium,2014-11-22,Risk of Violence,7,Medium,2014-11-22,2014-11-21,2014-12-16,0,24,30,1,1 +8394,adler corvil,adler,corvil,2013-07-08,Male,1995-01-01,21,Less than 25,African-American,0,3,0,1,0,-2,2013-07-06 11:29:26,2013-07-07 07:24:04,13009487CF10A,2013-07-06,,2,F,Battery on Law Enforc Officer,1,15001375CF10A,(M2),0,2015-01-29,Trespass Struct/Conveyance,2015-01-29,2015-01-30,,0,,,,,Risk of Recidivism,3,Low,2013-07-08,Risk of Violence,7,Medium,2013-07-08,2015-01-29,2015-01-30,0,0,570,1,1 +8396,david campbell,david,campbell,2013-10-30,Male,1988-06-20,27,25 - 45,African-American,0,10,0,0,7,0,2013-10-30 12:35:19,2013-12-04 01:03:57,13000571CF10A,,2013-10-30,0,F,arrest case no charge,1,16001517CF10A,(F3),0,2016-02-04,,2016-02-04,2016-03-04,,0,,,,,Risk of Recidivism,10,High,2013-10-30,Risk of Violence,10,High,2013-10-30,2014-11-05,2014-12-01,7,35,371,0,1 +8399,anderson metayer,anderson,metayer,2014-09-15,Male,1987-06-28,28,25 - 45,African-American,0,9,1,0,18,0,2014-09-15 05:14:37,2014-09-15 12:49:46,14012510CF10A,2014-09-15,,0,F,Possession of Cocaine,1,15004190TC10A,(M2),0,2015-02-10,Unlaw LicTag/Sticker Attach,2015-02-10,2015-02-10,,0,,,,,Risk of Recidivism,9,High,2014-09-15,Risk of Violence,7,Medium,2014-09-15,2015-02-10,2015-02-10,18,0,148,0,1 +8400,abraham ballestas,abraham,ballestas,2014-03-06,Male,1963-10-07,52,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-05 09:38:47,2014-03-06 05:42:23,14003775MM10A,2014-03-05,,1,M,Battery,1,14006035MM10A,(M1),0,2014-04-09,Viol Pretrial Release Dom Viol,2014-04-09,2014-04-10,,0,,,,,Risk of Recidivism,1,Low,2014-03-06,Risk of Violence,1,Low,2014-03-06,2014-04-09,2014-04-10,0,0,34,1,1 +8401,jason hope,jason,hope,2013-04-16,Male,1977-01-19,39,25 - 45,Caucasian,0,9,0,0,16,0,2013-04-16 01:11:08,2013-05-21 06:38:16,12000598CF10A,,2013-04-16,0,F,arrest case no charge,1,15010721CF10A,(F3),,2015-05-28,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,9,High,2013-04-16,Risk of Violence,7,Medium,2013-04-16,2014-05-02,2014-05-03,16,354,381,0,1 +8403,shawn smith,shawn,smith,2014-09-23,Male,1996-07-10,19,Less than 25,African-American,0,4,0,0,0,-1,2014-09-22 08:28:34,2014-09-23 02:17:43,14012825CF10A,2014-09-22,,1,F,Resist Officer w/Violence,1,14015144MM10A,(M2),0,2014-10-16,Unlawful Assembly,2014-10-16,2014-12-12,,1,14015144MM10A,(M1),2014-10-16,Battery,Risk of Recidivism,4,Low,2014-09-23,Risk of Violence,7,Medium,2014-09-23,2014-10-16,2014-12-12,0,0,23,1,1 +8404,alfonso mendoza,alfonso,mendoza,2014-02-25,Male,1969-09-16,46,Greater than 45,Caucasian,0,1,0,0,1,,,,14002654CF10A,,2014-02-25,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,,,1,0,766,0,0 +8405,teddy burrows,teddy,burrows,2013-02-11,Male,1975-12-11,40,25 - 45,African-American,0,4,0,0,2,-1,2013-02-10 07:02:08,2013-02-11 10:55:14,13002057CF10A,2013-02-10,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-11,2,0,1145,0,0 +8406,kevin bass,kevin,bass,2013-04-08,Male,1986-03-02,30,25 - 45,Caucasian,0,8,0,0,5,-1,2013-04-07 10:41:28,2013-04-10 07:27:04,13004967CF10A,2013-04-07,,1,F,Grand Theft in the 3rd Degree,1,13074450TC40A,(M2),222,2013-10-19,Driving License Suspended,2014-05-29,2014-06-05,,0,,,,,Risk of Recidivism,8,High,2013-04-08,Risk of Violence,8,High,2013-04-08,2013-04-07,2013-04-10,5,2,194,1,1 +8407,brandon poe,brandon,poe,2014-11-14,Male,1987-05-27,28,25 - 45,Caucasian,0,3,0,0,0,-1,2014-11-13 11:57:15,2014-11-14 01:49:54,14015228CF10A,2014-11-13,,1,F,Manufacture Cannabis,1,15005560CF10A,(F3),1,2015-04-28,Felony Battery (Dom Strang),2015-04-29,2015-12-22,,1,15005560CF10A,(F3),2015-04-28,Felony Battery (Dom Strang),Risk of Recidivism,3,Low,2014-11-14,Risk of Violence,2,Low,2014-11-14,2016-03-08,2016-03-29,0,0,165,1,1 +8408,hanyu wang,hanyu,wang,2013-10-06,Male,1988-12-26,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-10-05 12:18:21,2013-10-07 08:17:22,13018961MM10A,2013-10-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-06,Risk of Violence,3,Low,2013-10-06,2013-10-05,2013-10-07,0,1,908,0,0 +8409,kenneth sanchez,kenneth,sanchez,2013-02-13,Male,1993-02-11,23,Less than 25,Hispanic,0,7,0,0,3,0,2013-02-13 02:30:53,2013-02-16 08:31:34,13002266CF10A,2013-02-13,,0,F,Possession of Cocaine,1,14010088CF10A,(F3),,2013-07-29,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-13,Risk of Violence,5,Medium,2013-02-13,2013-02-13,2013-02-16,3,3,166,1,1 +8410,tyrone jackson,tyrone,jackson,2013-05-14,Male,1982-09-04,33,25 - 45,African-American,2,10,0,0,8,-49,2013-03-26 02:05:49,2013-04-02 06:05:23,13004367CF10A,2013-03-26,,49,F,Felony Battery (Dom Strang),1,14002012CF10A,(F3),0,2014-02-12,Possession Burglary Tools,2014-02-12,2014-02-18,,0,,,,,Risk of Recidivism,10,High,2013-05-14,Risk of Violence,7,Medium,2013-05-14,2014-02-12,2014-02-18,8,0,274,1,1 +8411,brandon whitfield,brandon,whitfield,2013-09-26,Male,1990-12-09,25,25 - 45,African-American,0,6,0,0,7,-1,2013-09-25 01:18:58,2013-10-13 04:17:21,13013473CF10A,,2013-09-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-26,Risk of Violence,4,Low,2013-09-26,2013-09-25,2013-10-13,7,17,918,0,0 +8413,richard weise,richard,weise,2013-09-18,Male,1991-03-03,25,25 - 45,African-American,0,5,0,0,3,114,2014-01-10 12:58:50,2014-02-06 09:11:18,10006429CF10A,2010-04-10,,1257,F,Dealing in Stolen Property,1,14013182CF10A,(M1),0,2014-09-30,Resist/Obstruct W/O Violence,2014-09-30,2015-01-21,,0,,,,,Risk of Recidivism,5,Medium,2013-09-18,Risk of Violence,5,Medium,2013-09-18,2014-01-10,2014-02-06,3,0,114,0,1 +8415,nicholas maczko,nicholas,maczko,2013-08-14,Male,1983-04-10,33,25 - 45,Caucasian,0,6,0,0,4,-56,2013-06-19 09:46:06,2013-08-14 10:00:59,13008670CF10A,2013-06-19,,56,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-14,Risk of Violence,5,Medium,2013-08-14,2014-08-13,2014-08-14,4,0,364,0,0 +8416,ampella guy,ampella,guy,2013-07-26,Female,1991-05-17,24,Less than 25,African-American,0,3,0,0,0,-2,2013-07-24 10:44:57,2013-07-25 08:44:12,13010385CF10A,2013-07-24,,2,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-26,Risk of Violence,3,Low,2013-07-26,2013-07-24,2013-07-25,0,0,980,0,0 +8418,neil elder,neil,elder,2013-04-17,Male,1971-11-06,44,25 - 45,Caucasian,0,7,0,0,0,-1,2013-04-16 04:51:29,2013-04-20 05:57:46,13005462CF10A,2013-04-16,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-17,Risk of Violence,4,Low,2013-04-17,2014-02-06,2014-03-17,0,3,295,0,0 +8419,eddie dean,eddie,dean,2013-10-20,Male,1972-04-11,44,25 - 45,African-American,0,1,0,0,0,-1,2013-10-19 10:50:50,2013-10-20 02:20:06,13014651CF10A,2013-10-19,,1,F,Felony/Driving Under Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-20,Risk of Violence,1,Low,2013-10-20,2013-10-19,2013-10-20,0,0,894,0,0 +8421,davahu barrett,davahu,barrett,2013-11-26,Female,1992-07-28,23,Less than 25,African-American,0,7,0,0,0,0,2013-11-26 03:42:42,2013-11-27 01:18:05,13022238MM10A,2013-11-26,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-26,Risk of Violence,5,Medium,2013-11-26,2013-11-26,2013-11-27,0,1,857,0,0 +8422,telise cassidy,telise,cassidy,2014-05-04,Female,1984-06-20,31,25 - 45,Caucasian,0,8,0,1,2,-1,2014-05-03 05:18:43,2014-05-04 08:13:29,14006210CF10A,2014-05-03,,1,F,Burglary Structure Unoccup,1,14028595MU10A,(M2),0,2014-08-05,Susp Drivers Lic 1st Offense,2014-08-05,2014-12-09,,0,,,,,Risk of Recidivism,8,High,2014-05-04,Risk of Violence,5,Medium,2014-05-04,2014-08-05,2014-12-09,2,0,93,1,1 +8423,derrick pierre,derrick,pierre,2013-03-10,Male,1989-02-15,27,25 - 45,African-American,0,2,0,1,0,0,2013-03-10 12:16:08,2013-03-10 07:11:00,13003511CF10A,2013-03-09,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-10,Risk of Violence,3,Low,2013-03-10,2013-03-10,2013-03-10,0,0,1118,0,0 +8424,gabrielle hamilton,gabrielle,hamilton,2013-01-24,Female,1989-08-21,26,25 - 45,Caucasian,0,8,0,0,1,-1,2013-01-23 02:18:57,2013-01-23 09:23:04,13001114CF10A,2013-01-22,,2,F,Possession of Oxycodone,1,13005242CF10A,(F3),0,2013-04-11,Grand Theft in the 3rd Degree,2013-04-11,2013-07-27,,0,,,,,Risk of Recidivism,8,High,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-04-11,2013-07-27,1,0,77,1,1 +8425,terry walker,terry,walker,2014-06-01,Male,1958-11-24,57,Greater than 45,African-American,0,5,0,0,16,0,2014-06-01 02:19:30,2014-06-13 05:48:59,14008721MM10A,2014-05-31,,1,M,Battery,1,14011846CF10A,(F3),0,2014-08-30,Felony Petit Theft,2014-08-30,2015-08-24,,0,,,,,Risk of Recidivism,5,Medium,2014-06-01,Risk of Violence,2,Low,2014-06-01,2014-08-30,2015-08-24,16,12,90,1,1 +8426,kevin dumey,kevin,dumey,2013-02-20,Male,1960-09-13,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-19 09:53:34,2013-02-20 06:33:27,13002524CF10A,2013-02-19,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-19,2013-02-20,0,0,1136,0,0 +8427,carlos santiago-ortiz,carlos,santiago-ortiz,2013-12-14,Male,1948-08-21,67,Greater than 45,Hispanic,0,1,0,0,0,,,,,,,,M,,1,15004901MM10A,(M1),0,2015-04-30,Battery,2015-04-30,2015-06-02,,1,15004901MM10A,(M1),2015-04-30,Battery,Risk of Recidivism,1,Low,2013-12-14,Risk of Violence,1,Low,2013-12-14,2015-04-30,2015-06-02,0,0,502,1,1 +8428,jamie harris,jamie,harris,2013-04-28,Female,1979-12-11,36,25 - 45,Caucasian,0,6,0,0,7,-1,2013-04-27 01:39:04,2013-05-04 05:37:11,13006056CF10A,2013-04-27,,1,F,Felony Petit Theft,1,13006763CF10A,(M1),0,2013-05-11,Tresspass in Structure or Conveyance,2013-05-11,2013-07-12,,0,,,,,Risk of Recidivism,6,Medium,2013-04-28,Risk of Violence,2,Low,2013-04-28,2013-05-11,2013-07-12,7,6,13,1,1 +8429,joseph mortenson,joseph,mortenson,2013-08-28,Male,1970-08-16,45,Greater than 45,Hispanic,0,6,0,0,6,630,2015-05-20 08:58:57,2015-06-30 07:07:00,12003092CF10A,,2012-11-16,285,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-28,Risk of Violence,4,Low,2013-08-28,2015-05-20,2015-06-30,6,0,630,0,0 +8432,robert jones,robert,jones,2014-05-14,Male,1986-03-05,30,25 - 45,African-American,0,9,0,0,18,0,2014-05-14 01:36:38,2014-05-15 04:54:01,14018212TC10A,2014-05-13,,1,M,Operating W/O Valid License,1,14046347TC30A,(M2),,2014-05-18,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,9,High,2014-05-14,Risk of Violence,10,High,2014-05-14,2014-05-14,2014-05-15,18,1,4,1,1 +8434,jhony milo,jhony,milo,2014-09-27,Male,1981-04-22,34,25 - 45,African-American,0,8,0,0,0,-1,2014-09-26 02:13:08,2014-10-29 10:16:27,14013051CF10A,2014-09-26,,1,F,Possession of Cocaine,1,15005640CF10A,(F3),,2015-02-08,Aggravated Assault w/Firearm,,,,1,15005640CF10A,(F3),2015-02-08,Aggravated Assault w/Firearm,Risk of Recidivism,8,High,2014-09-27,Risk of Violence,3,Low,2014-09-27,2014-09-26,2014-10-29,0,32,134,1,1 +8435,jabari hopkins,jabari,hopkins,2013-10-08,Male,1991-12-18,24,Less than 25,African-American,0,2,0,0,1,-1,2013-10-07 09:18:48,2013-10-08 02:16:44,13014080CF10A,,2013-10-07,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-08,Risk of Violence,3,Low,2013-10-08,2014-01-07,2014-01-16,1,0,91,0,0 +8436,henry loubeau,henry,loubeau,2013-11-01,Male,1994-09-13,21,Less than 25,Other,0,5,0,0,0,-1,2013-10-31 01:35:14,2013-11-02 01:53:18,13015209CF10A,2013-10-31,,1,F,Attempted Burg/Convey/Unocc,1,15011497CF10A,(F3),0,2015-09-05,Grand Theft (Motor Vehicle),2015-09-05,2015-10-13,,0,,,,,Risk of Recidivism,5,Medium,2013-11-01,Risk of Violence,7,Medium,2013-11-01,2014-06-24,2014-07-26,0,1,235,0,1 +8437,emonte banks,emonte,banks,2013-12-23,Male,1974-01-01,42,25 - 45,African-American,0,1,0,0,7,-1,2013-12-22 09:32:59,2013-12-23 01:56:25,13017620CF10A,2013-12-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-22,2013-12-23,7,0,830,0,0 +8438,melissa bucholtz,melissa,bucholtz,2014-08-12,Female,1981-07-01,34,25 - 45,Caucasian,0,10,0,0,12,-1,2014-08-11 04:08:41,2014-08-14 05:26:07,14010956CF10A,2014-08-11,,1,F,Possession of Cocaine,1,15000114MM20A,(M1),,2014-11-17,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,10,High,2014-08-12,Risk of Violence,5,Medium,2014-08-12,2014-08-11,2014-08-14,12,2,97,1,1 +8439,daniel castellanos,daniel,castellanos,2014-01-09,Male,1985-05-24,30,25 - 45,Hispanic,0,4,0,0,3,-6,2014-01-03 05:18:54,2014-01-05 08:02:37,14006367MU10A,2014-01-03,,6,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-09,Risk of Violence,5,Medium,2014-01-09,2014-01-03,2014-01-05,3,0,813,0,0 +8440,marco nicholls,marco,nicholls,2013-05-02,Male,1975-08-20,40,25 - 45,Caucasian,0,4,0,0,6,-1,2013-05-01 09:47:42,2013-05-02 04:48:43,13006265CF10A,2013-05-01,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-02,Risk of Violence,2,Low,2013-05-02,2015-10-15,2015-10-22,6,0,896,0,0 +8445,lee quinones,lee,quinones,2013-02-21,Male,1992-02-09,24,Less than 25,Hispanic,0,8,0,0,1,,,,11014564CF10A,,2012-12-26,57,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-21,Risk of Violence,7,Medium,2013-02-21,,,1,0,1135,0,0 +8446,mahmud lama,mahmud,lama,2013-12-23,Male,1992-04-07,24,Less than 25,Asian,0,6,0,0,4,-120,2013-08-25 07:02:49,2013-08-25 07:53:53,13012008CF10A,,2013-12-04,19,F,arrest case no charge,1,14015095MM10A,(M1),0,2014-10-15,Battery,2014-10-15,2014-10-15,,1,14015095MM10A,(M1),2014-10-15,Battery,Risk of Recidivism,6,Medium,2013-12-23,Risk of Violence,4,Low,2013-12-23,2014-10-15,2014-10-15,4,0,296,0,1 +8447,ryan whittaker,ryan,whittaker,2013-08-07,Male,1985-10-28,30,25 - 45,Other,0,9,0,0,13,-1,2013-08-06 03:52:47,2013-08-07 08:20:36,13010996CF10A,2013-08-06,,1,F,Deliver Cannabis,1,13012138CF10A,(M2),0,2013-08-28,Susp Drivers Lic 1st Offense,2013-08-28,2013-08-30,,1,13012138CF10A,(F2),2013-08-28,Agg Fleeing/Eluding High Speed,Risk of Recidivism,9,High,2013-08-07,Risk of Violence,5,Medium,2013-08-07,2013-08-28,2013-08-30,13,0,21,1,1 +8448,davon walthour,davon,walthour,2013-04-05,Male,1985-04-26,30,25 - 45,African-American,0,3,0,0,4,326,2014-02-25 10:46:58,2014-03-03 09:21:12,13004803CF10A,2013-04-03,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-05,Risk of Violence,2,Low,2013-04-05,2014-02-25,2014-03-03,4,0,326,0,0 +8449,michael lynch,michael,lynch,2013-03-30,Male,1984-07-19,31,25 - 45,Caucasian,0,3,0,0,3,0,2013-03-30 01:04:10,2013-03-30 08:35:32,13006076MM10A,2013-03-29,,1,M,Battery,1,13005814CF10A,(F3),0,2013-04-23,Contempt Of Court,2013-04-23,2013-04-24,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,3,Low,2013-03-30,2013-04-23,2013-04-24,3,0,24,1,1 +8450,perez blanco,perez,blanco,2014-09-19,Male,1982-07-29,33,25 - 45,Caucasian,0,3,0,0,2,,,,14012028CF10A,,2014-09-18,1,F,arrest case no charge,1,14013461CF10A,(F3),,2014-10-01,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,3,Low,2014-09-19,Risk of Violence,2,Low,2014-09-19,,,2,0,12,1,1 +8452,louis matrone,louis,matrone,2013-05-29,Male,1989-02-15,27,25 - 45,Caucasian,0,3,0,0,1,-1,2013-05-28 05:17:39,2013-06-28 12:05:32,13010246MM10A,2013-05-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-29,Risk of Violence,4,Low,2013-05-29,2013-05-28,2013-06-28,1,30,1038,0,0 +8453,alexander rojas,alexander,rojas,2014-06-29,Male,1993-09-17,22,Less than 25,Hispanic,0,2,0,1,0,-1,2014-06-28 09:31:46,2014-06-29 09:24:34,14008900CF10A,,2014-06-28,1,F,arrest case no charge,1,14001867MM30A,(M1),,2014-11-25,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,2,Low,2014-06-29,Risk of Violence,3,Low,2014-06-29,2014-06-28,2014-06-29,0,0,149,1,1 +8456,dwayne haynes,dwayne,haynes,2013-01-28,Male,1978-07-03,37,25 - 45,African-American,0,3,0,0,3,-1,2013-01-27 04:36:41,2013-04-18 02:31:15,13001927MM10A,2013-01-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-28,Risk of Violence,2,Low,2013-01-28,2013-01-27,2013-04-18,3,80,1159,0,0 +8457,glendel paul,glendel,paul,2014-03-11,Male,1990-07-18,25,25 - 45,African-American,0,2,0,0,1,0,2014-03-11 05:37:31,2014-03-11 08:37:39,14003435CF10A,2014-03-11,,0,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-11,Risk of Violence,3,Low,2014-03-11,2014-03-11,2014-03-11,1,0,752,0,0 +8458,lulio calderon,lulio,calderon,2014-02-03,Male,1970-09-19,45,Greater than 45,Caucasian,0,1,0,0,2,-1,2014-02-02 08:57:44,2014-02-10 08:22:26,14000557CF10A,,2014-02-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-02,2014-02-10,2,7,788,0,0 +8461,leonard felix,leonard,felix,2014-02-21,Male,1994-02-06,22,Less than 25,Hispanic,0,2,0,0,1,-19,2014-02-03 11:06:13,2014-02-21 10:12:11,14001522CF10A,,2014-02-20,1,F,arrest case no charge,1,16000677MM40A,(M1),51,2016-01-18,Possess Cannabis/20 Grams Or Less,2016-03-09,2016-04-19,,0,,,,,Risk of Recidivism,2,Low,2014-02-21,Risk of Violence,4,Low,2014-02-21,2016-03-09,2016-04-19,1,0,696,1,1 +8462,leonard renta,leonard,renta,2013-09-03,Male,1984-06-30,31,25 - 45,Caucasian,0,5,0,0,1,-3,2013-08-31 09:04:51,2013-09-01 02:06:30,13012320CF10A,2013-08-31,,3,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-03,Risk of Violence,2,Low,2013-09-03,2013-08-31,2013-09-01,1,0,941,0,0 +8463,roy brooks,roy,brooks,2013-04-07,Male,1992-07-04,23,Less than 25,African-American,0,5,0,0,0,-1,2013-04-06 09:06:58,2013-04-10 05:44:03,13004945CF10A,2013-04-06,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-07,Risk of Violence,8,High,2013-04-07,2013-04-06,2013-04-10,0,3,1090,0,0 +8465,anthony barrow,anthony,barrow,2014-03-10,Male,1995-02-08,21,Less than 25,African-American,0,4,0,0,0,0,2014-03-10 04:22:06,2014-03-12 11:18:43,14003376CF10A,2014-03-10,,0,F,Possession Firearm School Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-10,Risk of Violence,8,High,2014-03-10,2014-03-10,2014-03-12,0,2,753,0,0 +8467,terrance skinner,terrance,skinner,2014-09-22,Male,1987-07-15,28,25 - 45,African-American,0,5,0,0,6,-1,2014-09-21 05:10:54,2014-09-26 09:57:45,14013989MM10A,2014-09-21,,1,M,Battery,1,15021938TC20A,(M2),,2015-03-21,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2014-09-22,Risk of Violence,8,High,2014-09-22,2014-09-21,2014-09-26,6,4,180,1,1 +8468,darriss cooper,darriss,cooper,2013-08-19,Male,1980-10-14,35,25 - 45,African-American,0,1,0,0,0,-1,2013-08-18 11:38:41,2013-08-19 06:55:15,13011587CF10A,2013-08-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-19,0,0,956,0,0 +8469,john watts,john,watts,2013-11-27,Male,1986-09-08,29,25 - 45,African-American,0,4,1,1,4,-1,2013-11-26 04:45:54,2013-11-28 02:49:13,13016494CF10A,2013-11-26,,1,F,Grand Theft in the 3rd Degree,1,15007347MM10A,(M1),31,2015-07-09,Viol Injunct Domestic Violence,2015-08-09,2015-08-11,,0,,,,,Risk of Recidivism,4,Low,2013-11-27,Risk of Violence,3,Low,2013-11-27,2013-11-26,2013-11-28,4,1,589,1,1 +8471,xavier johnson,xavier,johnson,2014-07-13,Male,1993-03-11,23,Less than 25,African-American,0,4,0,0,2,-1,2014-07-12 07:12:05,2014-07-13 07:49:13,14009558CF10A,2014-07-12,,1,F,Burglary Conveyance Unoccup,1,14017084MM10A,(M1),0,2014-12-03,Petit Theft $100- $300,2014-12-03,2015-04-15,,0,,,,,Risk of Recidivism,4,Low,2014-07-13,Risk of Violence,7,Medium,2014-07-13,2014-07-30,2014-09-06,2,0,17,0,1 +8472,shafon gallimore,shafon,gallimore,2013-02-15,Male,1987-09-24,28,25 - 45,African-American,0,10,0,0,7,-1,2013-02-14 11:53:15,2013-02-15 07:41:03,13001062CF10A,,2013-02-14,1,F,arrest case no charge,1,13015726MM10A,(M1),0,2013-08-19,Unlaw Use False Name/Identity,2013-08-19,2014-04-16,,0,,,,,Risk of Recidivism,10,High,2013-02-15,Risk of Violence,7,Medium,2013-02-15,2013-08-19,2014-04-16,7,0,185,1,1 +8473,joanne evans,joanne,evans,2013-12-22,Female,1982-02-24,34,25 - 45,Caucasian,0,7,0,0,0,0,2013-12-22 02:30:37,2013-12-24 05:27:12,13023569MM10A,2013-12-21,,1,M,Driving License Suspended,1,15001688MM20A,(M2),67,2015-06-23,Petit Theft,2015-08-29,2015-09-18,,0,,,,,Risk of Recidivism,7,Medium,2013-12-22,Risk of Violence,3,Low,2013-12-22,2015-02-11,2015-02-19,0,2,416,0,1 +8475,jillian slone,jillian,slone,2013-11-18,Female,1983-07-21,32,25 - 45,Caucasian,0,2,0,0,5,-29,2013-10-20 11:26:38,2013-10-25 01:43:47,13008795CF10A,2013-06-22,,149,F,Burglary Dwelling Assault/Batt,1,16013758TC30A,(M2),,2016-02-29,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-18,Risk of Violence,2,Low,2013-11-18,2013-10-20,2013-10-25,5,0,833,1,0 +8476,danny farmer,danny,farmer,2013-08-21,Male,1963-06-24,52,Greater than 45,Caucasian,0,1,0,0,2,-44,2013-07-08 12:45:06,2013-08-09 11:20:21,13012897MM10A,2013-07-07,,45,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-21,Risk of Violence,1,Low,2013-08-21,2013-10-16,2013-12-09,2,0,56,0,0 +8477,troy fountain,troy,fountain,2013-11-23,Male,1990-08-11,25,25 - 45,African-American,0,4,0,0,2,-1,2013-11-22 08:30:44,2013-11-23 10:09:46,13016257CF10A,,2013-11-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-23,Risk of Violence,4,Low,2013-11-23,2015-03-10,2015-03-14,2,0,472,0,0 +8478,edward willis,edward,willis,2014-02-11,Male,1981-09-16,34,25 - 45,Caucasian,0,7,1,0,15,-1,2014-02-10 11:36:28,2014-02-11 12:32:43,14001876CF10A,2014-02-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-11,Risk of Violence,6,Medium,2014-02-11,2014-02-10,2014-02-11,15,0,780,0,0 +8479,charlie young,charlie,young,2014-03-06,Male,1968-10-14,47,Greater than 45,African-American,0,4,0,0,4,-1,2014-03-05 12:53:40,2014-03-06 08:44:05,14003100CF10A,2014-03-05,,1,F,Felony Driving While Lic Suspd,1,15007913CF10A,(F3),9,2015-06-09,Grand Theft in the 3rd Degree,2015-06-18,2015-06-19,,0,,,,,Risk of Recidivism,4,Low,2014-03-06,Risk of Violence,4,Low,2014-03-06,2015-06-18,2015-06-19,4,0,460,1,1 +8482,emerey boddie,emerey,boddie,2013-07-16,Male,1965-06-22,50,Greater than 45,African-American,0,9,0,0,9,,,,12018201CF10A,2012-12-13,,215,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-07-16,Risk of Violence,7,Medium,2013-07-16,1999-07-13,2000-06-05,9,0,990,0,0 +8483,princess walker,princess,walker,2013-10-20,Female,1985-10-15,30,25 - 45,African-American,0,5,0,0,4,-1,2013-10-19 07:52:55,2013-10-20 08:37:47,13014631CF10A,2013-10-19,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-20,Risk of Violence,2,Low,2013-10-20,2013-10-19,2013-10-20,4,0,894,0,0 +8484,sire reffner,sire,reffner,2013-10-20,Male,1993-09-23,22,Less than 25,Caucasian,0,3,0,0,0,-1,2013-10-19 08:06:27,2013-10-20 02:37:24,13019808MM10A,2013-10-19,,1,M,Battery,1,15044722TC30A,(M2),,2015-06-10,Posses/Disply Susp/Revk/Frd DL,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-20,Risk of Violence,5,Medium,2013-10-20,2015-06-11,2015-06-12,0,0,598,1,1 +8485,andrew defeo,andrew,defeo,2014-01-17,Male,1962-07-14,53,Greater than 45,Caucasian,0,1,0,0,1,,,,12006159MM10A,2012-03-24,,664,M,Driving Under The Influence,1,15041016TC30A,(M2),,2015-06-01,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-17,Risk of Violence,1,Low,2014-01-17,,,1,0,500,1,1 +8486,paula anderson,paula,anderson,2014-08-01,Female,1969-02-12,47,Greater than 45,African-American,0,9,0,0,7,-1,2014-07-31 07:26:17,2014-08-01 02:08:55,14010448CF10A,2014-07-31,,1,F,Possession of Cocaine,1,15001340CF10A,(F3),,2015-01-28,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,9,High,2014-08-01,Risk of Violence,2,Low,2014-08-01,2015-09-17,2020-01-01,7,0,180,1,1 +8487,brian carter,brian,carter,2013-04-08,Male,1978-11-07,37,25 - 45,Caucasian,0,8,0,0,3,-1,2013-04-07 05:57:47,2013-12-05 05:48:25,13004968CF10A,2013-04-07,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-08,Risk of Violence,5,Medium,2013-04-08,2014-04-25,2014-05-12,3,241,382,0,0 +8488,cedrick martin,cedrick,martin,2013-02-14,Male,1978-10-29,37,25 - 45,African-American,0,5,0,0,8,-1,2013-02-13 06:27:07,2013-02-14 08:49:30,13003211MM10A,2013-02-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-14,Risk of Violence,5,Medium,2013-02-14,2013-02-13,2013-02-14,8,0,1142,0,0 +8492,jose jones,jose,jones,2013-09-18,Male,1990-01-02,26,25 - 45,African-American,0,10,0,0,7,-1,2013-09-17 11:57:21,2013-09-20 07:48:48,13013101CF10A,2013-09-17,,1,F,"Poss3,4 Methylenedioxymethcath",1,13013876CF10A,(F2),1,2013-10-02,Procure Person Und 18/Prostitu,2013-10-03,2014-03-13,,0,,,,,Risk of Recidivism,10,High,2013-09-18,Risk of Violence,9,High,2013-09-18,2013-09-17,2013-09-20,7,2,14,1,1 +8494,madeline cuello,madeline,cuello,2013-03-22,Female,1985-04-03,31,25 - 45,Caucasian,0,2,0,0,0,0,2013-03-22 12:00:37,2013-03-26 09:46:03,13005575MM10A,2013-03-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-22,Risk of Violence,2,Low,2013-03-22,2013-03-22,2013-03-26,0,4,1106,0,0 +8496,gabriel lopez,gabriel,lopez,2014-01-26,Male,1995-07-07,20,Less than 25,Caucasian,0,3,0,3,0,0,2014-01-26 05:38:03,2014-01-27 01:29:53,14001146CF10A,2014-01-26,,0,F,Felony Battery (Dom Strang),1,15002157MM10A,(M1),0,2015-02-21,Possess Cannabis/20 Grams Or Less,2015-02-21,2015-02-21,,0,,,,,Risk of Recidivism,3,Low,2014-01-26,Risk of Violence,5,Medium,2014-01-26,2015-02-21,2015-02-21,0,1,391,0,1 +8500,keandre owens,keandre,owens,2013-01-18,Male,1993-10-27,22,Less than 25,African-American,0,7,0,0,0,-1,2013-01-17 01:22:02,2013-03-08 04:39:17,13000825CF10A,2013-01-17,,1,F,Burglary Unoccupied Dwelling,1,13022001MM10A,(M1),0,2013-11-22,Petit Theft $100- $300,2013-11-22,2013-12-11,,1,14009268CF10A,(F2),2014-06-21,Robbery / No Weapon,Risk of Recidivism,7,Medium,2013-01-18,Risk of Violence,7,Medium,2013-01-18,2013-11-22,2013-12-11,0,49,308,1,1 +8501,edwin mabra,edwin,mabra,2014-06-06,Male,1982-11-15,33,25 - 45,African-American,0,10,0,1,14,-1,2014-06-05 08:04:06,2014-06-07 04:23:25,14007779CF10A,2014-06-05,,1,F,Driving While License Revoked,1,15016177CF10A,(F3),,2015-12-18,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,10,High,2014-06-06,Risk of Violence,8,High,2014-06-06,2014-08-08,2014-12-01,14,1,63,0,1 +8503,michael mitchell,michael,mitchell,2013-03-19,Male,1985-05-14,30,25 - 45,African-American,0,2,0,0,1,-1,2013-03-18 11:22:54,2013-03-19 06:38:59,13005331MM10A,2013-03-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-19,Risk of Violence,3,Low,2013-03-19,2013-03-18,2013-03-19,1,0,1109,0,0 +8504,stanley jimenez,stanley,jimenez,2013-04-10,Male,1988-08-30,27,25 - 45,Caucasian,0,6,0,0,5,-1,2013-04-09 03:27:18,2013-04-15 07:43:36,13005122CF10A,2013-04-09,,1,F,Possession of Cocaine,1,13043776TC10A,(M2),79,2013-08-20,False Reports,2013-11-07,2013-12-07,,0,,,,,Risk of Recidivism,6,Medium,2013-04-10,Risk of Violence,6,Medium,2013-04-10,2013-04-09,2013-04-15,5,5,132,1,1 +8505,rashod wilson,rashod,wilson,2014-07-16,Male,1991-11-28,24,Less than 25,African-American,0,9,0,0,2,-1,2014-07-15 03:10:16,2014-07-17 05:54:46,14010824MM10A,2014-07-12,,4,M,Battery,1,14002248MM20A,(M2),51,2014-07-30,Petit Theft,2014-09-19,2014-09-19,,0,,,,,Risk of Recidivism,9,High,2014-07-16,Risk of Violence,9,High,2014-07-16,2014-07-15,2014-07-17,2,1,14,1,1 +8507,james jahmekie,james,jahmekie,2014-03-02,Female,1995-06-01,20,Less than 25,Other,0,4,0,0,1,-1,2014-03-01 08:06:39,2014-03-02 08:12:02,14003538MM10A,2014-03-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-02,Risk of Violence,6,Medium,2014-03-02,2014-03-01,2014-03-02,1,0,761,0,0 +8508,anton anderson,anton,anderson,2013-04-10,Male,1986-09-11,29,25 - 45,African-American,0,2,0,0,0,0,2013-04-10 04:22:08,2013-04-11 05:07:05,13006967MM10A,2013-04-10,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,3,Low,2013-04-10,2013-04-10,2013-04-11,0,1,1087,0,0 +8511,christopher everhardt,christopher,everhardt,2014-01-07,Male,1991-04-20,24,Less than 25,Caucasian,0,3,0,0,0,-1,2014-01-06 04:11:19,2014-01-08 10:45:03,14000242CF10A,2014-01-06,,1,F,Falsely Impersonating Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-07,Risk of Violence,4,Low,2014-01-07,2014-01-06,2014-01-08,0,1,815,0,0 +8512,wayne curry,wayne,curry,2014-06-17,Male,1972-02-14,44,25 - 45,African-American,0,9,0,0,29,296,2015-04-09 09:06:25,2015-04-29 09:38:05,14008324CF10A,2014-06-16,,1,F,Possession of Cocaine,1,15001693MM30A,(M2),,2015-10-12,Petit Theft,,,,0,,,,,Risk of Recidivism,9,High,2014-06-17,Risk of Violence,1,Low,2014-06-17,2015-04-09,2015-04-29,29,0,296,0,1 +8514,corinne brainard,corinne,brainard,2013-01-11,Female,1969-12-07,46,Greater than 45,Caucasian,0,1,0,0,1,339,2013-12-16 07:59:35,2014-01-16 09:49:15,12025316MM10A,2012-12-12,,30,M,Battery,1,13017367CF10A,(F2),0,2013-12-16,Aggravated Battery,2013-12-16,2014-01-16,,1,13017367CF10A,(F2),2013-12-16,Aggravated Battery,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-12-16,2014-01-16,1,0,339,1,1 +8515,ghislene muselaire,ghislene,muselaire,2013-12-15,Female,1979-07-24,36,25 - 45,African-American,0,2,0,0,1,-1,2013-12-14 05:59:59,2013-12-15 09:13:09,13017299CF10A,2013-12-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-14,2013-12-15,1,0,838,0,0 +8517,jovanni thorpe,jovanni,thorpe,2014-05-22,Male,1992-06-28,23,Less than 25,African-American,0,3,0,0,0,-1,2014-05-21 02:29:44,2014-05-22 01:55:58,14008229MM10A,2014-05-21,,1,M,Battery,1,15003369CF10A,(F2),0,2015-03-12,Robbery W/Firearm,2015-03-12,2015-09-21,,1,15003369CF10A,(F2),2015-03-12,Robbery W/Firearm,Risk of Recidivism,3,Low,2014-05-22,Risk of Violence,4,Low,2014-05-22,2015-03-12,2015-09-21,0,0,294,1,1 +8518,andy kercivil,andy,kercivil,2014-07-27,Male,1994-10-28,21,Less than 25,African-American,0,10,0,1,1,0,2014-07-27 02:11:39,2014-07-28 02:07:59,14010233CF10A,2014-07-27,,0,F,Possession of Cocaine,1,16001155TC30A,(M2),68,2015-12-26,Unlaw LicTag/Sticker Attach,2016-03-03,2016-03-09,,0,,,,,Risk of Recidivism,10,High,2014-07-27,Risk of Violence,10,High,2014-07-27,2015-01-15,2015-07-11,1,1,172,0,1 +8520,alain williams,alain,williams,2014-04-24,Male,1986-12-12,29,25 - 45,African-American,0,6,0,0,6,-1,2014-04-23 02:44:54,2014-04-24 03:44:57,14005681CF10A,2014-04-23,,1,F,Felony Driving While Lic Suspd,1,14069046TC40A,(M2),,2014-10-05,DWLS Canceled Disqul 1st Off,,,,1,14013798CF10A,(F3),2014-10-12,Battery on Law Enforc Officer,Risk of Recidivism,6,Medium,2014-04-24,Risk of Violence,5,Medium,2014-04-24,2014-10-12,2014-11-13,6,0,164,1,1 +8522,jesus mariano,jesus,mariano,2013-02-18,Male,1991-03-12,25,25 - 45,Hispanic,1,9,4,0,10,-1,2013-02-17 11:18:59,2013-02-25 07:40:55,13002453CF10A,2013-02-17,,1,F,Driving While License Revoked,1,13006518CF10A,(F2),0,2013-05-07,Deliver Cocaine,2013-05-07,2013-05-24,,0,,,,,Risk of Recidivism,9,High,2013-02-18,Risk of Violence,9,High,2013-02-18,2013-05-07,2013-05-24,10,7,78,1,1 +8523,stephanie velasquez,stephanie,velasquez,2013-03-25,Female,1994-01-11,22,Less than 25,Hispanic,0,4,0,0,1,-4,2013-03-21 09:23:27,2013-03-22 08:46:08,13004122CF10A,2013-03-21,,4,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-25,Risk of Violence,5,Medium,2013-03-25,2013-03-21,2013-03-22,1,0,1103,0,0 +8524,jeffrey steele,jeffrey,steele,2014-01-04,Male,1987-01-20,29,25 - 45,African-American,0,5,0,0,4,-1,2014-01-03 08:50:29,2014-01-04 08:41:19,14000153MM10A,2014-01-03,,1,M,Assault,1,16008462TC20A,(M2),,2016-02-10,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-04,Risk of Violence,6,Medium,2014-01-04,2014-01-03,2014-01-04,4,0,767,1,0 +8526,daphne robinson,daphne,robinson,2013-09-19,Female,1989-10-14,26,25 - 45,African-American,0,9,0,0,0,-6,2013-09-13 01:13:58,2013-09-19 11:14:04,13012957CF10A,2013-09-13,,6,M,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-19,Risk of Violence,7,Medium,2013-09-19,2013-11-04,2013-11-08,0,0,46,0,0 +8527,karen baader,karen,baader,2014-04-23,Female,1965-09-16,50,Greater than 45,Caucasian,0,1,0,0,7,-8,2014-04-15 12:42:16,2014-04-23 10:42:28,14006353MM10A,2014-04-15,,8,M,Criminal Mischief Damage <$200,1,15007479MM10A,(M1),0,2015-07-13,Viol Prot Injunc Repeat Viol,2015-07-13,2015-07-18,,0,,,,,Risk of Recidivism,1,Low,2014-04-23,Risk of Violence,1,Low,2014-04-23,2015-07-13,2015-07-18,7,0,446,1,1 +8528,levon mack,levon,mack,2013-11-01,Male,1984-02-04,32,25 - 45,African-American,0,2,0,0,1,-1,2013-10-31 10:30:22,2014-02-07 04:46:55,13015202CF10A,2013-10-31,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-01,Risk of Violence,2,Low,2013-11-01,2013-10-31,2014-02-07,1,98,882,0,0 +8530,luis gaitan,luis,gaitan,2014-02-23,Male,1970-10-15,45,Greater than 45,Hispanic,0,1,0,0,0,0,2014-02-23 02:42:34,2014-02-24 12:17:32,14002557CF10A,2014-02-22,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-23,Risk of Violence,1,Low,2014-02-23,2016-01-14,2016-01-25,0,1,690,0,0 +8532,jamal hanna,jamal,hanna,2013-10-17,Male,1986-01-17,30,25 - 45,African-American,0,2,0,0,1,-1,2013-10-16 08:02:20,2014-01-08 01:09:58,13014486CF10A,2013-10-16,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-17,Risk of Violence,2,Low,2013-10-17,2013-10-16,2014-01-08,1,83,897,0,0 +8533,jude ferdinand,jude,ferdinand,2013-04-20,Male,1990-06-29,25,25 - 45,African-American,0,5,0,0,0,-1,2013-04-19 08:44:54,2013-04-20 07:40:27,13005610CF10A,2013-04-19,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-04-19,2013-04-20,0,0,1077,0,0 +8534,angelina kloman,angelina,kloman,2013-04-13,Female,1971-11-22,44,25 - 45,Caucasian,0,5,0,0,10,-1,2013-04-12 08:11:04,2013-04-18 06:25:20,13006613CF10A,2013-04-12,,1,F,Felony Committing Prostitution,1,14003277MM40A,(M2),98,2014-07-22,Prostitution/Lewd Act Assignation,2014-10-28,2014-11-15,,0,,,,,Risk of Recidivism,5,Medium,2013-04-13,Risk of Violence,2,Low,2013-04-13,2013-04-12,2013-04-18,10,5,465,1,1 +8535,glenn murphy,glenn,murphy,2014-12-05,Male,1957-08-20,58,Greater than 45,African-American,0,4,0,0,0,-1,2014-12-04 04:55:20,2014-12-05 09:04:06,14016152CF10A,2014-12-04,,1,F,Grand Theft (Motor Vehicle),1,15012428TC10A,(M2),0,2015-04-22,Driving License Suspended,2015-04-22,2015-07-18,,0,,,,,Risk of Recidivism,4,Low,2014-12-05,Risk of Violence,2,Low,2014-12-05,2015-04-22,2015-07-18,0,0,138,1,1 +8539,robertson mondestin,robertson,mondestin,2014-03-04,Male,1991-11-03,24,Less than 25,African-American,0,6,0,0,5,0,2014-03-04 12:52:41,2014-03-04 09:07:07,14003000CF10A,2014-03-03,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-04,Risk of Violence,4,Low,2014-03-04,2015-05-22,2015-05-24,5,0,444,0,0 +8543,roberto lagrandeur,roberto,lagrandeur,2014-04-12,Male,1996-04-05,20,Less than 25,African-American,0,10,1,0,1,-1,2014-04-11 05:54:24,2014-04-12 09:20:49,14005085CF10A,2014-04-11,,1,F,Grand Theft in the 3rd Degree,1,14005345CF10A,(F3),0,2014-04-16,Grand Theft in the 3rd Degree,2014-04-16,2014-04-17,,0,,,,,Risk of Recidivism,10,High,2014-04-12,Risk of Violence,8,High,2014-04-12,2014-04-16,2014-04-17,1,0,4,1,1 +8544,david lawrence,david,lawrence,2014-01-27,Male,1986-05-14,29,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-26 06:15:41,2014-01-27 01:32:18,14001456MM10A,2014-01-26,,1,M,Battery,1,14008045MM10A,(M1),0,2014-05-17,Viol Pretrial Release Dom Viol,2014-05-17,2014-05-23,,1,14008045MM10A,(M1),2014-05-17,Battery,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,2,Low,2014-01-27,2014-05-17,2014-05-23,0,0,110,1,1 +8546,john rentas,john,rentas,2014-03-02,Male,1994-09-08,21,Less than 25,Caucasian,0,5,0,0,1,-1,2014-03-01 04:36:34,2014-03-02 04:12:07,14004735MM10A,,2014-03-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-02,Risk of Violence,4,Low,2014-03-02,2015-04-09,2015-04-10,1,0,403,0,0 +8548,christopher bynes,christopher,bynes,2013-08-13,Male,1977-08-07,38,25 - 45,African-American,1,9,2,2,22,-34,2013-07-10 07:07:35,2013-07-11 04:34:30,13002336MM20A,2013-07-29,,15,M,Possess Cannabis/20 Grams Or Less,1,15002318CF10A,(F1),0,2015-02-19,Tampering with a Victim,2015-02-19,2015-04-09,,1,15002318CF10A,(F2),2015-02-19,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-08-13,Risk of Violence,9,High,2013-08-13,2013-11-04,2013-11-23,22,0,83,0,1 +8550,rolando diaz,rolando,diaz,2013-06-21,Male,1953-09-15,62,Greater than 45,Hispanic,0,2,0,0,5,59,2013-08-19 03:24:25,2013-09-12 10:31:00,11020604CF10A,2011-12-20,,549,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-21,Risk of Violence,2,Low,2013-06-21,2013-08-19,2013-09-12,5,0,59,0,0 +8551,constance chapin,constance,chapin,2013-10-25,Female,1969-12-13,46,Greater than 45,Caucasian,0,1,0,0,1,-30,2013-09-25 12:39:53,2013-10-25 10:50:37,06011505CF10A,,2013-09-25,30,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-25,Risk of Violence,1,Low,2013-10-25,2016-01-23,2016-01-24,1,0,820,0,0 +8552,ismael sylvain,ismael,sylvain,2013-05-17,Male,1987-03-24,29,25 - 45,African-American,0,10,1,0,17,-1,2013-05-16 01:08:50,2013-05-31 06:08:06,13006986CF10A,2013-05-16,,1,F,Driving While License Revoked,1,14001215CF10A,(F1),,2013-11-08,Sell Cocaine 1000FT School,,,,0,,,,,Risk of Recidivism,10,High,2013-05-17,Risk of Violence,6,Medium,2013-05-17,2013-05-16,2013-05-31,17,14,175,1,1 +8554,jermiah johnson,jermiah,johnson,2014-12-30,Male,1985-05-09,30,25 - 45,African-American,0,4,0,0,0,-1,2014-12-29 01:10:58,2014-12-30 07:49:38,14017169CF10A,2014-12-29,,1,F,Possession of Cocaine,1,15008959CF10A,(F3),1,2015-07-12,Poss Pyrrolidinovalerophenone,2015-07-13,2015-07-14,,0,,,,,Risk of Recidivism,4,Low,2014-12-30,Risk of Violence,2,Low,2014-12-30,2015-07-16,2015-09-25,0,0,194,1,1 +8558,donovan green,donovan,green,2014-03-15,Male,1960-09-03,55,Greater than 45,African-American,0,1,0,0,8,-1,2014-03-14 01:30:35,2014-03-16 09:21:01,14003621CF10A,2014-03-14,,1,F,Driving While License Revoked,1,15001292CF10A,(F3),0,2015-01-27,Driving While License Revoked,2015-01-27,2015-02-02,,0,,,,,Risk of Recidivism,1,Low,2014-03-15,Risk of Violence,1,Low,2014-03-15,2014-08-25,2014-08-25,8,1,163,0,1 +8559,mikhail mccreath,mikhail,mccreath,2013-10-10,Male,1990-11-23,25,25 - 45,African-American,0,9,0,0,10,-82,2013-07-20 09:03:43,2013-10-10 12:07:45,13010182CF10A,2013-07-20,,82,F,Agg Fleeing/Eluding High Speed,1,15003238CF10A,(M2),0,2015-03-10,Reckless Driving,2015-03-10,2015-08-14,,0,,,,,Risk of Recidivism,9,High,2013-10-10,Risk of Violence,7,Medium,2013-10-10,2015-03-10,2015-08-14,10,0,516,1,1 +8560,stephen sisson,stephen,sisson,2013-10-15,Male,1968-06-19,47,Greater than 45,Caucasian,0,1,0,0,2,-30,2013-09-15 05:58:40,2013-10-13 02:50:10,13017551MM10A,2013-09-15,,30,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-15,Risk of Violence,1,Low,2013-10-15,2015-01-06,2015-02-24,2,0,448,0,0 +8563,jose alvarado,jose,alvarado,2014-03-21,Male,1988-12-24,27,25 - 45,Hispanic,0,2,0,0,1,-41,2014-02-08 09:14:47,2014-02-09 07:46:15,14005083MU10A,2014-02-08,,41,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-21,Risk of Violence,3,Low,2014-03-21,2014-02-08,2014-02-09,1,0,742,0,0 +8565,rony nordelus,rony,nordelus,2014-06-16,Male,1986-02-24,30,25 - 45,African-American,0,10,0,0,13,-1,2014-06-15 06:51:59,2015-10-03 06:50:34,15013973CF10A,2014-06-15,,1,F,Felony Battery,1,15014230CF10A,(F3),,2015-10-01,Felony Battery,,,,1,15014230CF10A,(F3),2015-10-01,Felony Battery,Risk of Recidivism,10,High,2014-06-16,Risk of Violence,7,Medium,2014-06-16,2014-06-15,2015-10-03,13,0,472,1,1 +8568,kadeem wilson,kadeem,wilson,2013-03-14,Male,1991-09-11,24,Less than 25,African-American,0,5,0,3,4,-1,2013-03-13 05:35:00,2013-03-14 11:54:52,13003676CF10A,2013-03-13,,1,F,Driving While License Revoked,1,13005328CF10A,(M1),1,2013-04-12,Resist/Obstruct W/O Violence,2013-04-13,2013-06-24,,0,,,,,Risk of Recidivism,5,Medium,2013-03-14,Risk of Violence,6,Medium,2013-03-14,2014-12-03,2014-12-03,4,0,29,1,1 +8569,ian joseph,ian,joseph,2013-09-04,Male,1967-04-24,48,Greater than 45,Caucasian,0,1,0,0,2,-43,2013-07-23 11:29:22,2013-07-27 09:26:10,13010337CF10A,2013-07-23,,43,F,Possession of Oxycodone,1,14001702MM20A,(M1),77,2014-04-24,Battery,2014-07-10,2014-07-15,,1,14001702MM20A,(M1),2014-04-24,Battery,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2014-12-15,2014-12-16,2,0,232,1,1 +8570,nichola perrelli,nichola,perrelli,2014-07-11,Male,1970-12-07,45,Greater than 45,Caucasian,0,6,0,0,0,-1,2014-07-10 12:54:53,2014-07-12 04:54:53,14009463CF10A,2014-07-10,,1,F,Grand Theft in the 3rd Degree,1,14013457MM10A,(M1),0,2014-09-09,Trespass After Warning,2014-09-09,2014-09-30,,0,,,,,Risk of Recidivism,6,Medium,2014-07-11,Risk of Violence,4,Low,2014-07-11,2014-08-23,2014-09-06,0,1,43,0,1 +8572,henry joseph,henry,joseph,2013-09-26,Male,1989-12-18,26,25 - 45,African-American,0,5,0,0,2,-26,2013-08-31 05:25:20,2013-09-02 08:15:01,11024059MM10A,2011-10-27,,700,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-26,Risk of Violence,5,Medium,2013-09-26,2013-08-31,2013-09-02,2,0,918,0,0 +8574,margery grindstaff,margery,grindstaff,2014-03-18,Female,1973-05-26,42,25 - 45,Caucasian,0,2,0,0,0,-1,2014-03-17 10:13:17,2014-03-18 01:20:01,14010520MU10A,2014-03-17,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-18,Risk of Violence,1,Low,2014-03-18,2014-03-17,2014-03-18,0,0,745,0,0 +8575,ryan lennox,ryan,lennox,2014-03-06,Male,1982-03-13,34,25 - 45,African-American,0,2,0,0,1,-1,2014-03-05 08:17:11,2014-03-07 11:03:13,14003797MM10A,2014-03-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-06,Risk of Violence,2,Low,2014-03-06,2014-03-05,2014-03-07,1,1,757,0,0 +8576,michael hammonds,michael,hammonds,2013-02-21,Male,1994-06-25,21,Less than 25,African-American,0,4,0,0,0,0,2013-02-21 05:41:14,2013-02-22 01:25:03,13003700MM10A,2013-02-21,,0,M,Resist/Obstruct W/O Violence,1,14012867CF10A,(F3),0,2014-09-23,Uttering a Forged Instrument,2014-09-23,2014-11-25,,0,,,,,Risk of Recidivism,4,Low,2013-02-21,Risk of Violence,6,Medium,2013-02-21,2013-03-04,2013-03-06,0,1,11,0,1 +8577,eveline rosenberg,eveline,rosenberg,2013-02-04,Female,1946-09-04,69,Greater than 45,Caucasian,0,1,0,0,2,0,2013-02-04 05:06:23,2013-02-04 12:44:20,13002543MM10A,2013-02-04,,0,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-04,2013-02-04,2,0,1152,0,0 +8578,frank fasano,frank,fasano,2013-12-11,Male,1992-02-06,24,Less than 25,Caucasian,0,5,0,1,5,-22,2013-11-19 12:51:43,2013-11-25 10:05:19,13010875CF10A,,2013-11-19,22,F,arrest case no charge,1,15009389MM10A,(M1),0,2015-09-04,Battery,2015-09-04,2015-09-05,,1,15009389MM10A,(M1),2015-09-04,Battery,Risk of Recidivism,5,Medium,2013-12-11,Risk of Violence,6,Medium,2013-12-11,2015-09-04,2015-09-05,5,0,632,1,1 +8579,steven henry,steven,henry,2013-02-24,Male,1971-02-15,45,Greater than 45,African-American,0,1,0,0,1,-1,2013-02-23 07:57:28,2013-02-24 06:47:57,13003778MM10A,2013-02-23,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-24,Risk of Violence,3,Low,2013-02-24,2013-02-23,2013-02-24,1,0,1132,0,0 +8580,robert ellis,robert,ellis,2013-05-23,Male,1987-09-14,28,25 - 45,African-American,0,9,0,0,3,264,2014-02-11 12:42:55,2014-04-29 05:19:39,13001013MM20A,2013-04-04,,49,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-23,Risk of Violence,7,Medium,2013-05-23,2014-02-11,2014-04-29,3,0,264,0,0 +8583,bernard landers,bernard,landers,2014-01-05,Male,1990-08-29,25,25 - 45,African-American,0,8,3,1,8,-1,2014-01-04 11:03:36,2014-01-05 01:49:49,14000167MM10A,2014-01-04,,1,M,Battery,1,15033750TC10A,(M2),1,2015-12-09,Driving License Suspended,2015-12-10,2015-12-10,,0,,,,,Risk of Recidivism,8,High,2014-01-05,Risk of Violence,5,Medium,2014-01-05,2014-09-18,2014-09-19,8,0,256,0,1 +8586,sabrina khan,sabrina,khan,2014-02-20,Male,1964-03-25,52,Greater than 45,African-American,0,1,0,0,2,-1,2014-02-19 05:45:59,2014-03-02 01:23:10,14006513MU10A,2014-02-19,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-20,Risk of Violence,1,Low,2014-02-20,2014-03-20,2014-04-08,2,10,28,0,0 +8589,uberne gonzalez,uberne,gonzalez,2014-03-03,Male,1986-01-16,30,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-02 12:10:27,2014-03-03 01:31:13,14002940CF10A,2014-03-02,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,2,Low,2014-03-03,2014-03-02,2014-03-03,0,0,760,0,0 +8590,ariane rozo,ariane,rozo,2014-03-24,Female,1989-10-12,26,25 - 45,Hispanic,0,3,0,0,0,0,2014-03-24 02:58:23,2014-03-24 08:45:46,14005079MM10A,2014-03-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-24,Risk of Violence,3,Low,2014-03-24,2014-03-24,2014-03-24,0,0,739,0,0 +8593,luckner bastien,luckner,bastien,2014-08-02,Male,1981-10-04,34,25 - 45,Other,0,2,0,0,0,-1,2014-08-01 04:04:25,2014-08-02 09:19:26,14010516CF10A,2014-08-01,,1,F,Felony Batt(Great Bodily Harm),1,15069008TC40A,(M2),,2015-11-25,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-08-02,Risk of Violence,1,Low,2014-08-02,2014-08-01,2014-08-02,0,0,480,1,1 +8594,brian genhold,brian,genhold,2013-12-10,Male,1984-02-09,32,25 - 45,Caucasian,0,7,1,0,5,145,2014-05-04 12:07:22,2014-06-10 10:31:22,12010779CF10A,,2013-10-21,50,F,arrest case no charge,1,14007372MM10A,(M1),0,2014-05-04,Battery,2014-05-04,2014-06-10,,1,14007372MM10A,(M1),2014-05-04,Battery,Risk of Recidivism,7,Medium,2013-12-10,Risk of Violence,2,Low,2013-12-10,2014-05-04,2014-06-10,5,0,145,1,1 +8595,randy jarnagin,randy,jarnagin,2013-12-11,Male,1968-07-26,47,Greater than 45,Caucasian,0,4,0,0,11,-104,2013-08-29 03:57:46,2013-11-27 02:11:58,13012219CF10A,2013-08-29,,104,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-11,Risk of Violence,3,Low,2013-12-11,2014-03-27,2014-05-22,11,0,106,0,0 +8596,eli lockrage,eli,lockrage,2013-02-18,Male,1977-09-22,38,25 - 45,African-American,0,4,0,0,2,0,2013-02-18 02:22:34,2013-02-28 09:53:23,13003448MM10A,2013-02-16,,2,M,Possess Cannabis/20 Grams Or Less,1,13042848TC20A,(M2),,2013-07-06,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-18,Risk of Violence,3,Low,2013-02-18,2013-02-18,2013-02-28,2,10,138,1,1 +8597,terrance anderson,terrance,anderson,2013-03-14,Male,1983-07-28,32,25 - 45,African-American,0,10,0,0,2,-58,2013-01-15 12:17:30,2013-02-12 09:57:00,09008167CF10A,,2013-01-15,58,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-14,Risk of Violence,7,Medium,2013-03-14,2013-07-19,2013-10-21,2,0,127,0,0 +8598,maurice harris,maurice,harris,2013-12-04,Male,1992-12-08,23,Less than 25,African-American,0,7,2,2,4,-1,2013-12-03 08:34:00,2013-12-04 08:03:41,13016727CF10A,2013-12-03,,1,F,"Poss3,4 Methylenedioxymethcath",1,14013867MM10A,(M1),0,2014-09-17,Trespass After Warning,2014-09-17,2014-09-18,,0,,,,,Risk of Recidivism,7,Medium,2013-12-04,Risk of Violence,8,High,2013-12-04,2014-06-03,2014-06-20,4,0,181,0,1 +8600,reynaldo meneses,reynaldo,meneses,2013-10-10,Male,1985-12-14,30,25 - 45,Hispanic,0,1,0,0,0,0,2013-10-10 01:33:46,2013-10-10 08:40:26,13019271MM10A,2013-10-09,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-10-10,2013-10-10,0,0,904,0,0 +8601,ricky tutes,ricky,tutes,2013-05-07,Male,1956-07-29,59,Greater than 45,African-American,0,9,0,0,9,-91,2013-02-05 07:25:52,2013-02-06 02:16:26,13006483CF10A,2013-05-06,,1,F,Felony Petit Theft,1,14001577MM30A,(M2),,2014-09-29,Petit Theft,,,,0,,,,,Risk of Recidivism,9,High,2013-05-07,Risk of Violence,4,Low,2013-05-07,2013-06-06,2014-08-14,9,0,30,0,1 +8602,matthew fahey,matthew,fahey,2014-12-22,Male,1991-07-03,24,Less than 25,Caucasian,0,7,0,0,5,-40,2014-11-12 02:54:44,2014-12-19 08:52:55,14015188CF10A,,2014-11-12,40,F,arrest case no charge,1,15010280CF10A,(F3),0,2015-08-10,Possession of Hydromorphone,2015-08-10,2015-11-12,,0,,,,,Risk of Recidivism,7,Medium,2014-12-22,Risk of Violence,4,Low,2014-12-22,2015-06-29,2015-07-08,5,0,189,0,1 +8604,nashley adelphon,nashley,adelphon,2013-03-12,Female,1993-10-09,22,Less than 25,African-American,0,6,0,0,0,0,2013-03-12 03:02:14,2013-03-13 08:18:53,13003622CF10A,2013-03-11,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-12,Risk of Violence,7,Medium,2013-03-12,2013-03-12,2013-03-13,0,1,1116,0,0 +8605,travoy flores,travoy,flores,2013-10-15,Male,1980-07-09,35,25 - 45,African-American,0,3,0,0,6,-1,2013-10-14 07:50:41,2013-10-15 01:24:28,13008071CF10A,,2013-10-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-15,Risk of Violence,3,Low,2013-10-15,2013-10-14,2013-10-15,6,0,899,0,0 +8606,travis russell,travis,russell,2013-09-27,Male,1992-03-25,24,Less than 25,African-American,0,7,0,0,0,0,2013-09-27 03:19:18,2013-09-28 01:33:31,13013588CF10A,2013-09-27,,0,F,Uttering a Forged Instrument,1,13014221CF10A,(F3),0,2013-10-10,Uttering Forged Bills,2013-10-10,2013-12-07,,0,,,,,Risk of Recidivism,7,Medium,2013-09-27,Risk of Violence,7,Medium,2013-09-27,2013-10-10,2013-12-07,0,1,13,1,1 +8608,shawn williams,shawn,williams,2013-04-03,Male,1980-09-25,35,25 - 45,African-American,0,6,0,0,1,-1,2013-04-02 05:26:56,2013-06-05 09:30:05,13006367MM10A,2013-04-02,,1,M,Battery,1,15009310CF10A,(F3),0,2015-06-16,Felony Battery,2015-06-16,2015-09-21,,1,15009310CF10A,(F3),2015-06-16,Felony Battery,Risk of Recidivism,6,Medium,2013-04-03,Risk of Violence,5,Medium,2013-04-03,2015-06-16,2015-09-21,1,63,804,1,0 +8609,keenan holden,keenan,holden,2013-02-23,Male,1990-12-01,25,25 - 45,African-American,0,6,0,0,2,-1,2013-02-22 09:54:24,2013-02-23 08:54:17,13002763CF10A,2013-02-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-23,Risk of Violence,4,Low,2013-02-23,2013-02-22,2013-02-23,2,0,1133,0,0 +8610,william forester,william,forester,2013-07-29,Male,1957-09-14,58,Greater than 45,Caucasian,0,2,0,0,3,-4,2013-07-25 12:57:53,2013-07-25 09:15:58,12003284MO40A,2012-06-29,,395,M,Carry Open/Uncov Bev In Pub,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-25,2013-07-25,3,0,977,0,0 +8611,almond duncan,almond,duncan,2013-01-20,Male,1988-06-03,27,25 - 45,African-American,0,4,0,0,7,-1,2013-01-19 04:46:04,2013-01-21 07:41:13,13000921CF10A,2013-01-19,,1,F,Driving While License Revoked,1,13012338CF10A,(F3),0,2013-08-31,Driving While License Revoked,2013-08-31,2013-09-01,,0,,,,,Risk of Recidivism,4,Low,2013-01-20,Risk of Violence,3,Low,2013-01-20,2013-08-31,2013-09-01,7,1,223,1,1 +8612,christopher grayheart,christopher,grayheart,2013-10-11,Male,1992-01-01,24,Less than 25,African-American,0,9,0,1,6,0,2013-10-11 08:31:44,2013-11-26 07:42:13,13014240CF10A,2013-10-11,,0,F,Resist Officer w/Violence,1,14005132CF10A,(F3),0,2014-04-12,Possession Burglary Tools,2014-04-12,2014-04-24,,0,,,,,Risk of Recidivism,9,High,2013-10-11,Risk of Violence,8,High,2013-10-11,2014-04-12,2014-04-24,6,46,183,1,1 +8613,anthony gonzalez,anthony,gonzalez,2013-04-10,Male,1982-08-26,33,25 - 45,Caucasian,0,2,0,0,2,-23,2013-03-18 04:53:59,2013-03-18 06:31:57,13005336MM10A,2013-03-18,,23,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,2,Low,2013-04-10,2013-03-18,2013-03-18,2,0,1087,0,0 +8616,karl ehlen,karl,ehlen,2013-04-08,Male,1972-04-06,44,25 - 45,Caucasian,0,3,0,0,4,-1,2013-04-07 07:17:55,2013-04-08 07:34:18,13005022CF10A,2013-04-07,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-08,Risk of Violence,4,Low,2013-04-08,2013-04-07,2013-04-08,4,0,1089,0,0 +8617,cato delay,cato,delay,2013-11-12,Male,1985-09-17,30,25 - 45,African-American,0,5,0,0,3,-1,2013-11-11 06:16:38,2013-11-13 09:55:31,13015685CF10A,2013-11-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-12,Risk of Violence,3,Low,2013-11-12,2013-11-11,2013-11-13,3,1,871,0,0 +8618,carmen ortiz,carmen,ortiz,2014-01-04,Female,1976-04-20,39,25 - 45,Hispanic,0,2,0,0,2,0,2014-01-04 09:26:15,2014-01-11 04:40:09,10011278CF10A,,2014-01-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-04,Risk of Violence,1,Low,2014-01-04,2014-01-04,2014-01-11,2,7,818,0,0 +8619,michael accetta,michael,accetta,2013-03-30,Male,1988-03-17,28,25 - 45,Caucasian,0,3,0,0,0,-1,2013-03-29 11:03:56,2013-03-30 08:06:57,13004543CF10A,2013-03-29,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,2,Low,2013-03-30,2013-03-29,2013-03-30,0,0,1098,0,0 +8621,ricardo philibert,ricardo,philibert,2013-09-21,Male,1981-07-22,34,25 - 45,African-American,0,2,0,0,1,-1,2013-09-20 07:19:58,2013-09-21 08:53:51,13013281CF10A,2013-09-20,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-21,Risk of Violence,2,Low,2013-09-21,2013-09-20,2013-09-21,1,0,923,0,0 +8622,dwayne schneider,dwayne,schneider,2014-08-29,Male,1989-04-27,26,25 - 45,African-American,0,8,0,0,1,-30,2014-07-30 01:18:15,2014-08-03 10:39:29,13016474CF10A,,2014-07-30,30,F,arrest case no charge,1,14015982CF10A,(F3),0,2014-11-30,Possession of Ethylone,2014-11-30,2015-01-30,,1,15016426CF10A,(F2),2015-12-14,Robbery / No Weapon,Risk of Recidivism,8,High,2014-08-29,Risk of Violence,5,Medium,2014-08-29,2014-10-23,2014-10-31,1,0,55,0,1 +8625,ricky lipsey,ricky,lipsey,2014-03-15,Male,1993-02-15,23,Less than 25,African-American,0,2,0,0,0,-1,2014-03-14 01:21:01,2014-03-16 03:52:46,14003626CF10A,2014-03-14,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-15,Risk of Violence,3,Low,2014-03-15,2014-03-14,2014-03-16,0,1,748,0,0 +8626,robert porras,robert,porras,2014-11-12,Male,1986-09-04,29,25 - 45,Caucasian,0,8,0,1,11,-1,2014-11-11 02:16:40,2014-12-30 07:24:53,14015131CF10A,2014-11-11,,1,F,Possession of Cocaine,1,15000050CF10A,(F3),0,2015-01-01,Possession Of Heroin,2015-01-01,2015-02-02,,0,,,,,Risk of Recidivism,8,High,2014-11-12,Risk of Violence,6,Medium,2014-11-12,2015-01-01,2015-02-02,11,48,50,1,1 +8627,bryon williams,bryon,williams,2013-12-22,Male,1984-08-11,31,25 - 45,African-American,0,4,0,0,0,-1,2013-12-21 10:04:52,2013-12-22 01:15:23,13023542MM10A,2013-12-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-22,Risk of Violence,4,Low,2013-12-22,2013-12-21,2013-12-22,0,0,831,0,0 +8629,westgard buting,westgard,buting,2013-09-30,Male,1977-09-06,38,25 - 45,Other,0,1,0,0,1,-1,2013-09-29 09:18:50,2013-09-30 08:38:57,13012760CF10A,,2013-09-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,1,0,914,0,0 +8630,stacey forbes,stacey,forbes,2013-01-14,Male,1985-06-14,30,25 - 45,African-American,0,8,0,0,14,-1,2013-01-13 04:38:35,2013-03-18 07:21:25,12000670CF10A,,2013-01-14,0,F,arrest case no charge,1,13035481TC10A,(M1),,2013-09-12,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,8,High,2013-01-14,Risk of Violence,3,Low,2013-01-14,2013-01-13,2013-03-18,14,63,241,1,1 +8633,shayne sieber,shayne,sieber,2014-06-07,Male,1994-11-22,21,Less than 25,Caucasian,0,4,0,0,2,-1,2014-06-06 11:55:43,2014-08-23 05:14:41,14007872CF10A,2014-06-06,,1,F,Grand Theft in the 3rd Degree,1,15013197MM10A,(M2),,2015-12-22,Disorderly Conduct,,,,0,,,,,Risk of Recidivism,4,Low,2014-06-07,Risk of Violence,6,Medium,2014-06-07,2014-10-14,2014-10-14,2,77,129,0,1 +8634,brian bradley,brian,bradley,2013-09-30,Male,1971-05-11,44,25 - 45,African-American,0,1,0,0,0,-1,2013-09-29 07:10:37,2013-09-30 08:52:46,13013664CF10A,2013-09-29,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,0,0,914,0,0 +8635,clive brown,clive,brown,2013-12-30,Male,1963-06-19,52,Greater than 45,African-American,0,1,0,0,0,0,2013-12-30 05:17:53,2013-12-31 07:54:52,13017973CF10A,2013-12-30,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2013-12-30,2013-12-31,0,1,823,0,0 +8636,benjamin jean,benjamin,jean,2013-01-04,Male,1985-12-30,30,25 - 45,African-American,0,5,0,0,6,-1,2013-01-03 11:57:32,2013-01-04 01:32:35,13000117CF10A,2013-01-03,,1,F,Grand Theft in the 3rd Degree,1,13008849TC10A,(M2),862,2013-01-24,Driving License Suspended,2015-06-05,2015-06-05,,0,,,,,Risk of Recidivism,5,Medium,2013-01-04,Risk of Violence,3,Low,2013-01-04,2015-06-05,2015-06-05,6,0,20,1,1 +8638,mark fletcher,mark,fletcher,2013-08-15,Male,1984-08-02,31,25 - 45,African-American,0,8,0,0,9,0,2013-08-15 04:24:41,2013-08-16 03:24:28,13011466CF10A,2013-08-15,,0,F,Aggravated Battery / Pregnant,1,13022368MM10A,(M1),0,2013-12-01,Resist/Obstruct W/O Violence,2013-12-01,2013-12-02,,1,14011020MM10A,(M1),2014-07-18,Battery,Risk of Recidivism,8,High,2013-08-15,Risk of Violence,6,Medium,2013-08-15,2013-12-01,2013-12-02,9,1,108,1,1 +8639,alexis parker,alexis,parker,2013-04-24,Female,1995-01-18,21,Less than 25,African-American,0,6,1,0,2,-12,2013-04-12 02:01:58,2013-04-24 10:40:53,13005322CF10A,2013-04-12,,12,F,Deliver Cannabis,1,15059734TC30A,(M2),,2015-08-31,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-24,Risk of Violence,7,Medium,2013-04-24,2013-04-12,2013-04-24,2,0,859,1,0 +8641,lalo munoz,lalo,munoz,2013-08-19,Male,1938-10-11,77,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-08-18 02:09:06,2013-08-21 08:28:16,13015622MM10A,2013-08-17,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-21,1,2,956,0,0 +8642,vincent defazio,vincent,defazio,2013-10-18,Male,1955-01-12,61,Greater than 45,Caucasian,0,6,0,0,4,-1,2013-10-17 04:38:42,2014-02-13 04:11:09,13014549CF10A,2013-10-17,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-18,Risk of Violence,5,Medium,2013-10-18,2013-10-17,2014-02-13,4,118,896,0,0 +8644,yolanda hoff,yolanda,hoff,2013-11-22,Female,1974-10-01,41,25 - 45,African-American,0,1,0,0,0,-1,2013-11-21 10:10:58,2013-11-22 09:18:22,13021928MM10A,2013-11-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-22,Risk of Violence,1,Low,2013-11-22,2013-11-21,2013-11-22,0,0,861,0,0 +8646,nicole shaver,nicole,shaver,2013-11-21,Female,1991-10-09,24,Less than 25,Caucasian,0,5,0,0,0,-1,2013-11-20 06:49:02,2013-11-21 07:48:03,13021845MM10A,2013-11-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-21,Risk of Violence,4,Low,2013-11-21,2013-11-20,2013-11-21,0,0,862,0,0 +8647,natalie dixon,natalie,dixon,2013-04-17,Female,1981-11-07,34,25 - 45,African-American,0,3,0,0,5,-1,2013-04-16 01:11:17,2013-04-17 05:45:35,13001202CF10A,,2013-04-16,1,F,arrest case no charge,1,15007079CF10A,(F3),0,2015-05-30,Grand Theft in the 3rd Degree,2015-05-30,2015-05-31,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,3,Low,2013-04-17,2013-12-29,2013-12-30,5,0,256,0,0 +8649,jonathon rossi,jonathon,rossi,2013-01-03,Male,1982-01-08,34,25 - 45,Caucasian,0,2,0,0,3,47,2013-02-19 05:08:52,2013-02-27 10:48:27,12014635CF10A,,2012-12-23,11,F,arrest case no charge,1,13002539CF10A,(F3),0,2013-02-19,Possession of Hydromorphone,2013-02-19,2013-02-27,,0,,,,,Risk of Recidivism,2,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-02-19,2013-02-27,3,0,47,1,1 +8650,javier falcon,javier,falcon,2013-02-06,Male,1988-06-12,27,25 - 45,Hispanic,0,3,0,0,1,0,2013-02-06 03:25:28,2013-02-07 03:05:17,13001843CF10A,2013-02-05,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-06,Risk of Violence,3,Low,2013-02-06,2013-10-23,2013-10-24,1,1,259,0,0 +8651,shamar owen,shamar,owen,2013-10-25,Male,1990-09-22,25,25 - 45,African-American,0,7,0,2,6,-1,2013-10-24 11:42:55,2013-10-25 08:15:58,13014867CF10A,2013-10-24,,1,M,Criminal Mischief Damage <$200,1,14049897TC20A,(M2),,2014-06-26,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2015-01-06,2015-01-15,6,0,244,1,1 +8652,cedric hynes,cedric,hynes,2013-03-05,Male,1985-05-04,30,25 - 45,African-American,0,1,0,0,1,-1,2013-03-04 08:57:46,2013-03-05 06:41:10,13003255CF10A,2013-03-04,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,2,Low,2013-03-05,2013-03-04,2013-03-05,1,0,1123,0,0 +8653,fernando velazquezhernandez,fernando,velazquezhernandez,2013-02-19,Male,1956-05-30,59,Greater than 45,Hispanic,0,1,0,0,0,-4,2013-02-15 11:55:20,2013-02-17 02:16:14,13002383CF10A,2013-02-15,,4,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-19,Risk of Violence,1,Low,2013-02-19,2013-02-15,2013-02-17,0,0,1137,0,0 +8655,janet mccarthy,janet,mccarthy,2013-11-08,Male,1960-08-19,55,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-11-07 06:14:28,2013-11-08 09:33:29,13015543CF10A,2013-11-07,,1,F,Grand Theft in the 3rd Degree,1,15003176CF10A,(F3),0,2015-03-09,Battery on Law Enforc Officer,2015-03-09,2015-04-16,,1,15003176CF10A,(F3),2015-03-09,Battery on Law Enforc Officer,Risk of Recidivism,1,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2015-03-09,2015-04-16,1,0,486,1,1 +8656,tylicia walker,tylicia,walker,2013-09-03,Female,1993-06-20,22,Less than 25,African-American,0,6,1,0,1,294,2014-06-24 11:36:20,2014-07-25 05:43:00,09017749TC40A,2009-01-24,,1683,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-03,Risk of Violence,6,Medium,2013-09-03,2014-06-24,2014-07-25,1,0,294,0,0 +8657,nathan morris,nathan,morris,2014-11-10,Male,1983-10-03,32,25 - 45,Caucasian,0,6,0,0,0,-1,2014-11-09 06:54:58,2014-11-14 04:55:23,14015052CF10A,2014-11-09,,1,F,Battery on Law Enforc Officer,1,15006389CF10A,(F3),0,2015-05-16,Poss Handcuff Key While IC,2015-05-16,2015-05-17,,0,,,,,Risk of Recidivism,6,Medium,2014-11-10,Risk of Violence,3,Low,2014-11-10,2015-05-16,2015-05-17,0,4,187,1,1 +8659,fredrick hough,fredrick,hough,2013-05-27,Male,1962-10-11,53,Greater than 45,African-American,0,2,0,0,5,0,2013-05-27 04:31:38,2013-05-29 04:34:47,13010134MM10A,2013-05-27,,0,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2014-03-12,2014-03-14,5,2,289,0,0 +8661,allan cross,allan,cross,2013-01-21,Male,1966-02-13,50,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-01-20 11:08:11,2013-01-21 01:27:06,13001373MM10A,2013-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-21,Risk of Violence,2,Low,2013-01-21,2013-01-20,2013-01-21,1,0,1166,0,0 +8663,louis simonds,louis,simonds,2013-01-09,Male,1989-09-09,26,25 - 45,Other,0,4,0,0,1,-1,2013-01-08 03:24:21,2013-01-10 10:20:25,13000320CF10A,2013-01-08,,1,F,Pos Cannabis W/Intent Sel/Del,1,13002676CF10A,(M2),0,2013-02-21,Susp Drivers Lic 1st Offense,2013-02-21,2013-03-29,,0,,,,,Risk of Recidivism,4,Low,2013-01-09,Risk of Violence,5,Medium,2013-01-09,2013-02-21,2013-03-29,1,1,43,1,1 +8664,michael diaz,michael,diaz,2013-12-31,Male,1995-02-07,21,Less than 25,Hispanic,0,5,0,1,2,-1,2013-12-30 09:08:22,2013-12-31 10:47:09,13017980CF10A,2013-12-30,,1,F,Poss Similitude of Drivers Lic,1,14008723MM10A,(M1),0,2014-06-01,Unlaw Use False Name/Identity,2014-06-01,2014-06-01,,1,14008723MM10A,(M1),2014-06-01,Battery,Risk of Recidivism,5,Medium,2013-12-31,Risk of Violence,5,Medium,2013-12-31,2014-03-11,2014-03-13,2,0,70,0,1 +8665,john clark,john,clark,2013-05-13,Male,1979-10-20,36,25 - 45,African-American,0,6,0,0,7,-1,2013-05-12 12:06:48,2013-05-13 07:44:18,13006806CF10A,2013-05-12,,1,F,Felony Battery w/Prior Convict,1,15005775MM10A,(M1),0,2015-05-07,Possess Cannabis/20 Grams Or Less,2015-05-07,2015-05-08,,0,,,,,Risk of Recidivism,6,Medium,2013-05-13,Risk of Violence,3,Low,2013-05-13,2015-05-07,2015-05-08,7,0,724,1,1 +8667,bradley demps,bradley,demps,2013-02-20,Male,1980-10-19,35,25 - 45,African-American,0,8,0,0,16,-1,2013-02-19 02:00:32,2013-08-29 07:30:53,13002556CF10A,,2013-02-19,1,F,arrest case no charge,1,16005024TC20A,(M2),,2016-01-31,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2013-02-20,Risk of Violence,6,Medium,2013-02-20,2013-08-29,2014-10-26,16,613,1075,1,1 +8668,gina benzing,gina,benzing,2013-12-17,Female,1990-06-21,25,25 - 45,Caucasian,0,3,0,0,0,-1,2013-12-16 06:31:26,2013-12-18 05:45:00,13023316MM10A,2013-12-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-17,Risk of Violence,3,Low,2013-12-17,2013-12-16,2013-12-18,0,1,836,0,0 +8670,brigitte moyer,brigitte,moyer,2013-04-24,Female,1985-03-10,31,25 - 45,Caucasian,0,6,0,0,2,0,2013-04-24 02:55:38,2013-08-19 05:41:56,13007958MM10A,2013-04-23,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-24,Risk of Violence,3,Low,2013-04-24,2013-04-24,2013-08-19,2,117,1073,0,0 +8672,jessica brown,jessica,brown,2013-09-07,Female,1989-05-24,26,25 - 45,African-American,0,5,0,0,1,-1,2013-09-06 07:37:43,2013-09-08 01:45:38,13012603CF10A,2013-09-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-07,Risk of Violence,4,Low,2013-09-07,2015-01-09,2015-01-24,1,1,489,0,0 +8673,jeffrey hopkins,jeffrey,hopkins,2013-12-23,Male,1990-11-19,25,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-22 10:13:14,2013-12-23 01:09:21,13023600MM10A,2013-12-22,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,3,Low,2013-12-23,2013-12-22,2013-12-23,0,0,830,0,0 +8674,jamsly georges,jamsly,georges,2013-11-19,Male,1983-06-01,32,25 - 45,African-American,0,1,0,0,0,0,2013-11-19 03:33:41,2013-11-19 08:58:19,13021760MM10A,2013-11-19,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-19,Risk of Violence,1,Low,2013-11-19,2013-11-19,2013-11-19,0,0,864,0,0 +8675,israel torres,israel,torres,2013-03-12,Male,1976-01-27,40,25 - 45,Caucasian,0,3,0,0,5,-1,2013-03-11 11:28:31,2013-03-12 01:07:39,13003586CF10A,2013-03-11,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-11,2013-03-12,5,0,1116,0,0 +8676,guignard lejean,guignard,lejean,2013-04-05,Male,1980-09-30,35,25 - 45,African-American,0,3,0,0,0,-2,2013-04-03 10:17:52,2013-04-04 07:37:40,13004764CF10A,2013-04-03,,2,F,Poss Oxycodone W/Int/Sell/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-05,Risk of Violence,4,Low,2013-04-05,2013-04-03,2013-04-04,0,0,1092,0,0 +8679,bassey abia,bassey,abia,2013-10-02,Male,1988-12-12,27,25 - 45,African-American,0,3,0,0,2,-1,2013-10-01 07:19:17,2013-10-05 01:13:34,13013758CF10A,2013-10-01,,1,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-02,Risk of Violence,2,Low,2013-10-02,2013-10-01,2013-10-05,2,3,912,0,0 +8681,william burke,william,burke,2013-04-07,Male,1983-04-15,33,25 - 45,African-American,0,9,0,0,12,-1,2013-04-06 11:24:26,2013-04-09 08:18:48,13004963CF10A,2013-04-06,,1,F,Tampering With Physical Evidence,1,13022999MM10A,(M1),20,2013-10-24,Possess Cannabis/20 Grams Or Less,2013-11-13,2014-01-23,,0,,,,,Risk of Recidivism,9,High,2013-04-07,Risk of Violence,9,High,2013-04-07,2013-04-06,2013-04-09,12,2,200,1,1 +8682,huy trinh,huy,trinh,2013-01-11,Male,1980-02-19,36,25 - 45,Asian,0,1,0,0,1,-1,2013-01-10 05:47:36,2013-02-20 01:46:27,13000470CF10A,,2013-01-10,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-10,2013-02-20,1,40,1176,0,0 +8683,carlos vasquez,carlos,vasquez,2013-03-01,Male,1985-05-16,30,25 - 45,Caucasian,0,2,0,0,2,-22,2013-02-07 02:03:50,2013-02-07 08:53:31,13001943CF10A,2013-02-06,,23,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-01,Risk of Violence,3,Low,2013-03-01,2013-02-07,2013-02-07,2,0,1127,0,0 +8684,nasser saleh,nasser,saleh,2013-04-14,Male,1985-08-25,30,25 - 45,African-American,0,4,0,0,0,0,2013-04-14 12:53:38,2013-04-18 09:20:35,13005337CF10A,2013-04-13,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,3,Low,2013-04-14,2015-02-13,2015-02-25,0,4,670,0,0 +8685,bradley royes,bradley,royes,2013-04-15,Male,1974-12-26,41,25 - 45,African-American,0,8,0,0,19,0,2013-04-15 11:09:49,2013-11-21 11:14:00,13005134CF10A,,2013-04-15,0,F,arrest case no charge,1,15016078CF10A,(F3),,2015-12-15,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,8,High,2013-04-15,Risk of Violence,2,Low,2013-04-15,2015-09-18,2015-09-19,19,220,886,0,0 +8686,francesca rousseau,francesca,rousseau,2013-05-28,Female,1994-04-28,21,Less than 25,Caucasian,0,7,0,0,1,-99,2013-02-18 04:02:37,2013-04-24 07:42:56,13003459MM10A,2013-02-18,,99,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-28,Risk of Violence,6,Medium,2013-05-28,2013-02-18,2013-04-24,1,0,1039,0,0 +8688,brandy baca,brandy,baca,2013-03-11,Female,1987-04-09,29,25 - 45,Caucasian,0,7,0,0,0,-3,2013-03-08 03:07:49,2013-03-08 08:40:55,13003466CF10A,2013-03-08,,3,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-11,Risk of Violence,3,Low,2013-03-11,2013-03-08,2013-03-08,0,0,1117,0,0 +8691,matthew lewandowski,matthew,lewandowski,2013-03-02,Male,1983-05-06,32,25 - 45,Caucasian,0,2,0,0,1,,,,09022719CF10A,2009-12-15,,1173,M,Poss of Vessel w/Altered ID NO,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-02,Risk of Violence,3,Low,2013-03-02,,,1,0,1126,0,0 +8694,thomas duffy,thomas,duffy,2013-10-04,Male,1990-12-27,25,25 - 45,Caucasian,0,5,0,0,0,-1,2013-10-03 12:19:47,2013-10-03 08:07:28,13013853CF10A,2013-10-02,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-04,Risk of Violence,3,Low,2013-10-04,2013-10-03,2013-10-03,0,0,910,0,0 +8695,nick maniscalso,nick,maniscalso,2013-03-20,Male,1965-12-28,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-19 09:33:06,2013-03-22 05:52:21,13003974CF10A,2013-03-19,,1,F,Possession Child Pornography,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-19,2013-03-22,0,2,1108,0,0 +8696,alexis palen,alexis,palen,2013-08-07,Male,1981-02-02,35,25 - 45,Caucasian,0,2,0,0,4,-1,2013-08-06 08:24:10,2014-01-23 05:55:11,13011090CF10A,,2013-08-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,2015-01-14,2015-01-23,4,169,525,0,0 +8700,damion mckinney,damion,mckinney,2014-06-11,Male,1978-12-28,37,25 - 45,African-American,1,9,0,0,17,0,2014-06-11 02:11:22,2014-06-13 02:03:25,14013815CF10A,2014-06-10,,1,F,Poss Pyrrolidinobutiophenone,1,15002700CF10A,(F3),1,2015-02-26,Poss Pyrrolidinovalerophenone,2015-02-27,2015-07-16,,0,,,,,Risk of Recidivism,9,High,2014-06-11,Risk of Violence,7,Medium,2014-06-11,2014-11-24,2014-11-24,17,2,166,0,1 +8701,delroy henry,delroy,henry,2014-01-16,Male,1972-07-24,43,25 - 45,African-American,0,1,0,0,4,-26,2013-12-21 12:37:51,2014-01-16 10:14:43,13017717CF10A,,2013-12-21,26,F,arrest case no charge,1,15003041MM10A,(M1),0,2015-03-13,Battery,2015-03-13,2015-03-13,,1,15003041MM10A,(M1),2015-03-13,Battery,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,2,Low,2014-01-16,2015-03-13,2015-03-13,4,0,421,0,1 +8702,vincent leone,vincent,leone,2013-02-07,Male,1986-12-11,29,25 - 45,Caucasian,0,6,0,0,12,0,2013-02-07 02:34:03,2013-03-18 05:25:27,13002758MM10A,2013-02-07,,0,M,Criminal Mischief>$200<$1000,1,14008350CF10A,(F3),342,2013-10-15,Uttering a Forged Instrument,2014-09-22,2014-09-23,,0,,,,,Risk of Recidivism,6,Medium,2013-02-07,Risk of Violence,4,Low,2013-02-07,2013-02-07,2013-03-18,12,39,250,1,1 +8703,anne murray,anne,murray,2013-12-04,Female,1955-02-08,61,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-03 03:18:00,2013-12-04 09:09:14,13016724CF10A,2013-12-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-04,Risk of Violence,1,Low,2013-12-04,2013-12-03,2013-12-04,0,0,849,0,0 +8705,isaiah hargrett,isaiah,hargrett,2013-09-15,Female,1993-11-19,22,Less than 25,African-American,0,9,0,0,4,0,2013-09-15 03:07:01,2013-09-17 03:55:23,13013013CF10A,2013-09-14,,1,F,Possession of Cocaine,1,14010778MM10A,(M1),0,2014-07-03,Possess Cannabis/20 Grams Or Less,2014-07-03,2014-07-04,,1,15000808MM10A,(M1),2015-01-02,Battery,Risk of Recidivism,9,High,2013-09-15,Risk of Violence,6,Medium,2013-09-15,2014-07-03,2014-07-04,4,2,291,1,1 +8706,alonso castillo,alonso,castillo,2013-09-27,Male,1988-10-04,27,25 - 45,Caucasian,0,4,0,0,2,-1,2013-09-26 05:04:38,2013-09-27 04:51:32,13013546CF10A,,2013-09-26,1,F,arrest case no charge,1,14058359TC20A,(M2),,2014-08-21,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-27,Risk of Violence,3,Low,2013-09-27,2013-09-26,2013-09-27,2,0,328,1,1 +8707,wesley st jean,wesley,st jean,2013-04-15,Male,1984-09-28,31,25 - 45,African-American,0,10,0,0,0,,,,,,,,M,,1,16007440TC10A,(M2),,2016-03-03,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-04-15,Risk of Violence,4,Low,2013-04-15,,,0,0,1053,1,0 +8708,dalton mcgowan,dalton,mcgowan,2014-02-13,Male,1971-12-20,44,25 - 45,African-American,0,9,0,0,12,,,,10006291CF10A,2010-04-09,,1406,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-13,Risk of Violence,4,Low,2014-02-13,2008-10-16,2009-02-01,12,0,778,0,0 +8710,tiara ross,tiara,ross,2013-02-06,Female,1982-03-26,34,25 - 45,African-American,0,2,0,0,1,-21,2013-01-16 10:16:43,2013-02-01 05:50:36,12021226MM10A,2012-10-12,,117,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-06,Risk of Violence,1,Low,2013-02-06,2013-01-16,2013-02-01,1,0,1150,0,0 +8711,wen chou,wen,chou,2014-03-22,Male,1991-08-14,24,Less than 25,Other,0,6,0,0,0,-1,2014-03-21 10:17:24,2014-03-22 10:10:59,14004046CF10A,2014-03-21,,1,F,Conspiracy Dealing Stolen Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-22,Risk of Violence,4,Low,2014-03-22,2015-10-08,2015-10-15,0,0,565,0,0 +8712,cecelia gitta,cecelia,gitta,2013-09-05,Female,1981-06-11,34,25 - 45,Caucasian,0,6,0,0,1,39,2013-10-14 12:54:46,2013-11-09 05:56:57,13000807CF10A,,2013-05-02,126,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-05,Risk of Violence,2,Low,2013-09-05,2013-10-14,2013-11-09,1,0,39,0,0 +8715,jasmine sherrell,jasmine,sherrell,2014-01-02,Female,1995-08-12,20,Less than 25,African-American,0,7,0,1,0,-1,2014-01-01 07:41:04,2014-01-02 08:43:28,14000049MM10A,2014-01-01,,1,M,Battery,1,14008977MM10A,(M1),0,2014-06-05,Viol Pretrial Release Dom Viol,2014-06-05,2014-06-11,,1,14008977MM10A,(M1),2014-06-05,Battery,Risk of Recidivism,7,Medium,2014-01-02,Risk of Violence,8,High,2014-01-02,2014-06-05,2014-06-11,0,0,154,1,1 +8716,raoul emile,raoul,emile,2014-03-31,Male,1986-01-20,30,25 - 45,African-American,0,1,0,0,0,-1,2014-03-30 05:12:07,2014-03-31 01:48:57,14005464MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,2,Low,2014-03-31,2014-03-30,2014-03-31,0,0,732,0,0 +8717,louveni bell,louveni,bell,2013-05-14,Female,1972-10-15,43,25 - 45,African-American,0,1,0,0,0,-1,2013-05-13 11:41:46,2013-05-14 11:59:00,13009245MM10A,2013-05-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-05-13,2013-05-14,0,0,1053,0,0 +8719,scott kaplan,scott,kaplan,2014-02-25,Male,1964-11-17,51,Greater than 45,Caucasian,0,1,0,0,4,-1,2014-02-24 03:07:34,2014-02-25 08:07:31,14002632CF10A,2014-02-24,,1,F,Felony Driving While Lic Suspd,1,15019383TC20A,(M2),,2015-03-19,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-24,2014-02-25,4,0,387,1,1 +8723,tommy ortiz,tommy,ortiz,2013-02-07,Male,1979-01-20,37,25 - 45,Hispanic,0,5,0,0,9,-1,2013-02-06 02:39:48,2013-02-08 06:25:56,13001959CF10A,2013-02-06,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-07,Risk of Violence,3,Low,2013-02-07,2013-11-04,2014-04-30,9,1,270,0,0 +8724,maurice major,maurice,major,2014-01-22,Male,1974-01-02,42,25 - 45,African-American,1,9,0,0,7,0,2014-01-22 03:53:08,2014-01-24 03:36:45,14000916CF10A,2014-01-22,,0,F,Possession of Cocaine,1,15003737MO10A,(MO3),0,2015-03-31,Trespass,2015-03-31,2015-05-15,,0,,,,,Risk of Recidivism,9,High,2014-01-22,Risk of Violence,7,Medium,2014-01-22,2014-12-30,2015-01-29,7,2,342,0,1 +8726,raisha orellano-barrios,raisha,orellano-barrios,2013-02-23,Female,1987-02-04,29,25 - 45,Hispanic,0,4,0,0,1,-1,2013-02-22 02:14:29,2013-02-23 08:11:06,13002752CF10A,,2013-02-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-23,Risk of Violence,3,Low,2013-02-23,2013-02-22,2013-02-23,1,0,1133,0,0 +8727,scott stoner,scott,stoner,2013-08-08,Male,1971-08-06,44,25 - 45,Caucasian,0,1,0,0,4,,,,12018423CF10A,2012-12-17,,234,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,1996-10-17,1999-05-30,4,0,967,0,0 +8728,rose rodriguez,rose,rodriguez,2013-03-25,Female,1992-01-24,24,Less than 25,Caucasian,0,6,0,0,0,0,2013-03-25 01:31:41,2013-03-25 08:43:30,13005836MM10A,2013-03-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-25,Risk of Violence,5,Medium,2013-03-25,2013-03-25,2013-03-25,0,0,1103,0,0 +8729,michael lorenz,michael,lorenz,2014-03-26,Male,1980-01-28,36,25 - 45,Caucasian,0,1,0,0,12,-26,2014-02-28 03:37:21,2014-03-13 10:56:28,14002711CF10A,,2014-02-28,26,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,2,Low,2014-03-26,2014-02-28,2014-03-13,12,0,737,0,0 +8731,gregory lugo,gregory,lugo,2014-10-28,Male,1977-01-13,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-10-27 09:19:54,2014-10-30 04:23:55,14016036CF10A,2014-10-27,,1,F,Felony DUI - Enhanced,1,14015745MM10A,(M1),0,2014-10-30,Battery,2014-10-30,2014-11-08,,1,14015745MM10A,(M1),2014-10-30,Battery,Risk of Recidivism,1,Low,2014-10-28,Risk of Violence,1,Low,2014-10-28,2014-10-30,2014-11-08,0,2,2,1,1 +8732,eddie fluker,eddie,fluker,2013-11-20,Male,1983-12-22,32,25 - 45,African-American,0,5,0,0,2,-1,2013-11-19 01:53:21,2013-11-20 08:27:44,13021770MM10A,2013-11-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-20,Risk of Violence,4,Low,2013-11-20,2014-01-30,2014-01-31,2,0,71,0,0 +8733,ricardo hylton,ricardo,hylton,2013-09-10,Male,1986-02-18,30,25 - 45,African-American,0,2,0,0,1,-82,2013-06-20 01:20:20,2013-06-21 09:31:10,13008672CF10A,2013-06-19,,83,F,Aggravated Battery (Firearm),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-10,Risk of Violence,2,Low,2013-09-10,2013-06-20,2013-06-21,1,0,934,0,0 +8735,donovan aman,donovan,aman,2013-02-09,Male,1977-11-14,38,25 - 45,African-American,0,1,0,0,0,0,2013-02-09 12:08:28,2013-02-09 01:28:57,13002892MM10A,2013-02-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-09,Risk of Violence,1,Low,2013-02-09,2013-02-09,2013-02-09,0,0,1147,0,0 +8737,nicole jackson,nicole,jackson,2013-04-04,Female,1988-11-07,27,25 - 45,African-American,0,6,0,0,8,-23,2013-03-12 10:28:38,2013-03-15 11:32:22,13003543CF10A,,2013-03-12,23,F,arrest case no charge,1,15002305MM40A,(M1),,2015-06-02,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,4,Low,2013-04-04,2013-10-24,2013-11-06,8,0,203,0,0 +8739,dennis laravalasquez,dennis,laravalasquez,2013-09-12,Male,1991-05-19,24,Less than 25,Caucasian,0,3,0,0,2,,,,10004575MM10A,,2010-04-12,1249,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-12,Risk of Violence,4,Low,2013-09-12,,,2,0,932,0,0 +8741,nicole oconnor,nicole,oconnor,2013-08-12,Female,1985-05-17,30,25 - 45,Caucasian,0,6,0,0,0,-1,2013-08-11 08:43:01,2013-08-14 05:34:33,13011263CF10A,2013-08-11,,1,F,Grand Theft in the 3rd Degree,1,14012110MM10A,(M1),0,2014-08-11,Possess Cannabis/20 Grams Or Less,2014-08-11,2014-08-15,,0,,,,,Risk of Recidivism,6,Medium,2013-08-12,Risk of Violence,3,Low,2013-08-12,2014-08-11,2014-08-15,0,2,364,1,1 +8742,blanche mange,blanche,mange,2013-08-13,Female,1972-06-03,43,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-12 04:33:06,2013-08-13 10:05:00,13015220MM10A,2013-08-12,,1,M,Battery,1,14073481TC30A,(M2),,2014-08-30,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2013-08-12,2013-08-13,0,0,382,1,1 +8743,timothy kendrick,timothy,kendrick,2013-01-23,Male,1986-01-22,30,25 - 45,African-American,6,9,0,0,8,-1,2013-01-22 06:49:44,2013-01-23 01:35:06,13001521MM10A,2013-01-22,,1,M,Battery,1,13007930CF10A,(F3),0,2013-06-04,Grand Theft in the 3rd Degree,2013-06-04,2013-06-05,,1,14004515CF10A,(M1),2014-01-06,Battery,Risk of Recidivism,9,High,2013-01-23,Risk of Violence,8,High,2013-01-23,2013-06-04,2013-06-05,8,0,132,1,1 +8744,jonathan mckennie,jonathan,mckennie,2013-08-01,Male,1994-01-27,22,Less than 25,African-American,0,7,0,0,2,366,2014-08-02 03:07:56,2015-01-27 07:47:26,12003623CF10A,2012-03-08,,511,F,Pos Cannabis W/Intent Sel/Del,1,14011706MM10A,(M1),0,2014-08-02,Unlaw Use False Name/Identity,2014-08-02,2015-01-27,,0,,,,,Risk of Recidivism,7,Medium,2013-08-01,Risk of Violence,8,High,2013-08-01,2014-08-02,2015-01-27,2,0,366,1,1 +8745,jessica lee,jessica,lee,2013-06-03,Female,1989-06-18,26,25 - 45,Caucasian,0,4,0,0,1,-2,2013-06-01 08:03:30,2013-06-02 01:57:09,13010505MM10A,2013-06-01,,2,M,Assault,1,15008940CF10A,(F3),0,2015-07-11,Poss Pyrrolidinovalerophenone,2015-07-11,2015-07-13,,0,,,,,Risk of Recidivism,4,Low,2013-06-03,Risk of Violence,3,Low,2013-06-03,2015-07-11,2015-07-13,1,0,768,1,0 +8746,reynaldo rodriguez,reynaldo,rodriguez,2014-01-04,Male,1978-09-11,37,25 - 45,Caucasian,0,4,0,0,3,-1,2014-01-03 11:40:02,2014-02-11 10:50:00,14000144CF10A,2014-01-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-04,Risk of Violence,2,Low,2014-01-04,2015-01-05,2015-01-09,3,38,366,0,0 +8747,steven penso,steven,penso,2013-11-13,Male,1990-08-05,25,25 - 45,Caucasian,0,9,0,0,5,-1,2013-11-12 09:00:02,2013-11-13 01:00:00,13015716CF10A,2013-11-12,,1,F,Driving While License Revoked,1,14013141CF10A,(M1),0,2014-09-29,Resist/Obstruct W/O Violence,2014-09-29,2015-01-24,,0,,,,,Risk of Recidivism,9,High,2013-11-13,Risk of Violence,7,Medium,2013-11-13,2014-03-23,2014-03-24,5,0,130,0,1 +8748,sande accurso,sande,accurso,2014-04-09,Male,1951-02-21,65,Greater than 45,Caucasian,0,3,0,0,1,-1,2014-04-08 01:51:23,2014-04-09 01:10:26,14004894CF10A,2014-04-08,,1,F,Possession Of Heroin,1,14006014CF10A,(F3),0,2014-04-30,Possession of Cocaine,2014-04-30,2014-05-23,,0,,,,,Risk of Recidivism,3,Low,2014-04-09,Risk of Violence,3,Low,2014-04-09,2014-04-30,2014-05-23,1,0,21,1,1 +8749,eric dominguez,eric,dominguez,2014-02-12,Male,1964-02-06,52,Greater than 45,Other,0,5,0,0,0,-1,2014-02-11 07:49:32,2014-02-18 09:21:56,14001942CF10A,2014-02-11,,1,F,Possession of Cocaine,1,14014348CF10A,(F3),0,2014-10-24,Possession of Cocaine,2014-10-24,2014-10-25,,0,,,,,Risk of Recidivism,5,Medium,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-10-24,2014-10-25,0,6,254,1,1 +8750,joseph dejesus,joseph,dejesus,2013-07-01,Male,1978-09-17,37,25 - 45,Hispanic,0,6,0,0,9,-52,2013-05-10 10:37:45,2013-06-28 04:09:09,13007020CF10A,,2013-05-15,47,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-01,Risk of Violence,7,Medium,2013-07-01,2013-09-05,2013-09-19,9,0,66,0,0 +8752,cody carlson,cody,carlson,2013-05-28,Male,1986-10-25,29,25 - 45,Caucasian,0,1,0,0,1,-1,2013-05-27 09:11:34,2013-05-28 01:48:44,13007560CF10A,2013-05-27,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-27,2013-05-28,1,0,1039,0,0 +8754,matthew watkins,matthew,watkins,2013-01-15,Male,1983-12-11,32,25 - 45,Caucasian,0,5,0,0,3,-1,2013-01-14 11:55:12,2013-05-15 11:06:59,10015383CF10A,,2013-01-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-15,Risk of Violence,2,Low,2013-01-15,2014-01-24,2014-02-20,3,120,374,0,0 +8755,juan marinero,juan,marinero,2014-10-05,Male,1980-02-23,36,25 - 45,Hispanic,0,1,0,0,0,-1,2014-10-04 07:59:12,2014-10-05 08:08:28,14014610MM10A,2014-10-04,,1,M,Battery,1,14016075MM10A,(M1),0,2014-11-07,Viol Pretrial Release Dom Viol,2014-11-07,2014-11-08,,0,,,,,Risk of Recidivism,1,Low,2014-10-05,Risk of Violence,1,Low,2014-10-05,2014-11-07,2014-11-08,0,0,33,1,1 +8756,steven ferguson,steven,ferguson,2014-09-29,Male,1994-12-17,21,Less than 25,African-American,0,9,2,6,8,30,2014-10-29 07:19:44,2015-06-30 07:07:00,13016650CF10A,,2014-02-07,234,F,arrest case no charge,1,14015552CF10A,(F3),,2014-10-01,Crim Use of Personal ID Info,,,,1,14014510CF10A,(F2),2014-10-29,Agg Fleeing/Eluding High Speed,Risk of Recidivism,9,High,2014-09-29,Risk of Violence,5,Medium,2014-09-29,2015-06-30,2020-01-01,8,0,2,1,1 +8757,dillon degiovanni,dillon,degiovanni,2013-03-12,Male,1994-09-14,21,Less than 25,Caucasian,0,3,0,0,1,-1,2013-03-11 06:25:15,2013-03-12 12:35:34,13003594CF10A,2013-03-11,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-12,Risk of Violence,6,Medium,2013-03-12,2013-03-11,2013-03-12,1,0,1116,0,0 +8758,brian wilson,brian,wilson,2013-04-14,Male,1969-01-03,47,Greater than 45,Caucasian,0,4,0,0,13,0,2013-04-14 03:00:30,2013-06-19 06:52:42,13007194MM10A,2013-04-14,,0,M,Battery,1,13017495MM10A,(M1),0,2013-09-13,Battery,2013-09-13,2013-12-03,,1,13017495MM10A,(M1),2013-09-13,Battery,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,3,Low,2013-04-14,2013-09-13,2013-12-03,13,66,152,1,1 +8759,fatima johnson,fatima,johnson,2014-02-13,Female,1979-04-29,36,25 - 45,African-American,0,2,0,0,4,-13,2014-01-31 07:43:56,2014-02-01 01:57:00,14001411CF10A,,2014-01-31,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2015-10-05,2015-10-05,4,0,599,0,0 +8760,shanice ethridge,shanice,ethridge,2013-01-18,Female,1990-09-06,25,25 - 45,African-American,0,7,0,0,6,24,2013-02-11 12:23:24,2013-02-23 12:34:12,12018762CF10A,2012-12-28,,21,F,Driving While License Revoked,1,13010481CF10A,(M1),0,2013-07-26,Unlaw Use False Name/Identity,2013-07-26,2013-10-03,,0,,,,,Risk of Recidivism,7,Medium,2013-01-18,Risk of Violence,6,Medium,2013-01-18,2013-02-11,2013-02-23,6,0,24,0,1 +8761,ramsey sari,ramsey,sari,2014-04-17,Male,1983-11-11,32,25 - 45,Caucasian,0,2,0,0,4,0,2014-04-17 03:02:35,2014-04-18 04:10:58,14006525MM10A,2014-04-17,,0,M,Battery,1,14010971MM10A,(M1),0,2014-07-17,Viol Injunct Domestic Violence,2014-07-17,2014-08-12,,1,14013821CF10A,(F3),2014-09-19,Felony Battery w/Prior Convict,Risk of Recidivism,2,Low,2014-04-17,Risk of Violence,3,Low,2014-04-17,2014-07-17,2014-08-12,4,1,91,1,1 +8762,shannon gopher,shannon,gopher,2013-01-25,Male,1972-08-15,43,25 - 45,Caucasian,0,1,0,0,1,-1,2013-01-24 06:36:58,2013-01-25 07:32:50,13001196CF10A,2013-01-24,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-25,Risk of Violence,1,Low,2013-01-25,2013-01-24,2013-01-25,1,0,1162,0,0 +8764,steven carey,steven,carey,2013-04-04,Male,1989-01-09,27,25 - 45,African-American,0,6,0,0,2,-1,2013-04-03 04:58:59,2013-08-13 04:48:18,13004785CF10A,2013-04-03,,1,F,Sale/Del Cannabis At/Near Scho,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,3,Low,2013-04-04,2013-04-03,2013-08-13,2,131,1093,0,0 +8765,eric colbert,eric,colbert,2014-07-06,Male,1989-05-20,26,25 - 45,African-American,0,4,0,0,8,-1,2014-07-05 08:35:16,2014-07-31 09:34:44,14010347MM10A,2014-07-05,,1,M,Battery,1,15004489CF10A,(F3),78,2014-08-30,Uttering a Forged Instrument,2014-11-16,2014-11-17,,0,,,,,Risk of Recidivism,4,Low,2014-07-06,Risk of Violence,3,Low,2014-07-06,2014-07-05,2014-07-31,8,25,55,1,1 +8768,al durrant,al,durrant,2013-09-12,Male,1994-10-08,21,Less than 25,African-American,0,3,0,0,1,-22,2013-08-21 02:03:31,2013-09-12 11:18:07,13010303CF10A,,2013-08-21,22,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-12,Risk of Violence,5,Medium,2013-09-12,2013-08-21,2013-09-12,1,0,932,0,0 +8770,kolson chu,kolson,chu,2013-12-16,Male,1982-03-03,34,25 - 45,Asian,0,2,0,0,0,-1,2013-12-15 08:07:23,2013-12-16 08:32:54,13023224MM10A,2013-12-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0 +8771,ignacio choreno,ignacio,choreno,2014-01-27,Male,1970-02-02,46,Greater than 45,Hispanic,0,1,0,0,1,-2,2014-01-25 04:52:02,2014-01-26 01:43:13,14002844MU10A,2014-01-25,,2,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-25,2014-01-26,1,0,795,0,0 +8773,james scott,james,scott,2013-09-12,Male,1975-09-24,40,25 - 45,African-American,2,6,0,0,23,30,2013-10-12 10:22:16,2013-11-13 08:08:17,13014095MM10A,2013-07-20,,54,M,Possess Cannabis/20 Grams Or Less,1,13014303CF10A,(F2),0,2013-10-12,Aggravated Battery / Pregnant,2013-10-12,2013-11-13,,1,13014303CF10A,(F3),2013-10-12,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2013-09-12,Risk of Violence,8,High,2013-09-12,2013-10-12,2013-11-13,23,0,30,1,1 +8774,jeremy miller,jeremy,miller,2013-12-15,Male,1977-06-09,38,25 - 45,Caucasian,0,3,0,0,3,0,2013-12-15 01:27:41,2013-12-16 08:33:43,13023210MM10A,2013-12-14,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-15,2013-12-16,3,1,838,0,0 +8775,jermaine west,jermaine,west,2013-03-27,Male,1975-01-17,41,25 - 45,African-American,0,9,0,0,7,-1,2013-03-26 04:40:53,2013-05-23 06:25:48,11020159CF10A,,2013-03-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-27,Risk of Violence,4,Low,2013-03-27,2013-03-26,2013-05-23,7,57,1101,0,0 +8776,michael marold,michael,marold,2013-01-10,Male,1990-05-02,25,25 - 45,Caucasian,0,10,0,0,7,-1,2013-01-09 07:19:58,2013-02-21 11:36:48,13000395CF10A,2013-01-09,,1,F,Burglary Conveyance Armed,1,14008415MM10A,(M1),0,2014-05-26,Resist/Obstruct W/O Violence,2014-05-26,2014-08-07,,0,,,,,Risk of Recidivism,10,High,2013-01-10,Risk of Violence,8,High,2013-01-10,2014-05-26,2014-08-07,7,42,501,1,1 +8777,jake scott,jake,scott,2013-12-19,Male,1995-01-29,21,Less than 25,Caucasian,0,4,0,0,1,-11,2013-12-08 09:52:02,2013-12-19 10:29:04,13016966CF10A,2013-12-08,,11,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-19,Risk of Violence,7,Medium,2013-12-19,2013-12-08,2013-12-19,1,0,834,0,0 +8778,eileen dunn,eileen,dunn,2013-11-15,Female,1941-08-07,74,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-14 03:06:45,2013-11-14 07:37:54,13021485MM10A,2013-11-14,,1,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-15,Risk of Violence,1,Low,2013-11-15,2013-11-14,2013-11-14,0,0,868,0,0 +8781,oscar alayo,oscar,alayo,2013-12-31,Male,1974-05-06,41,25 - 45,Caucasian,0,4,0,0,5,-1,2013-12-30 08:13:04,2013-12-31 01:42:25,13024004MM10A,2013-12-30,,1,M,Battery,1,14056544TC20A,(M2),,2014-07-23,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-31,Risk of Violence,4,Low,2013-12-31,2013-12-30,2013-12-31,5,0,204,1,1 +8783,larry johnson,larry,johnson,2014-05-22,Male,1959-04-14,57,Greater than 45,African-American,0,7,0,0,11,-376,2013-05-11 01:24:32,2014-03-27 10:00:00,13006785CF10A,2013-05-09,,378,F,Strong Armed Robbery,1,16003161CF10A,(F3),,2016-03-13,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-05-22,Risk of Violence,3,Low,2014-05-22,2013-05-11,2014-03-27,11,0,661,1,1 +8785,lisbet martinez,lisbet,martinez,2013-01-24,Female,1988-10-07,27,25 - 45,Hispanic,0,3,0,0,0,0,2013-01-24 01:34:36,2013-01-24 06:22:19,13001701MM10A,2013-01-23,,1,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-01-24,2013-01-24,0,0,1163,0,0 +8786,judge lucas,judge,lucas,2014-01-23,Male,1985-05-29,30,25 - 45,African-American,0,2,1,0,1,-1,2014-01-22 11:51:48,2014-01-24 08:52:16,14000990CF10A,2014-01-22,,1,M,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-22,2014-01-24,1,1,799,0,0 +8787,joy kidd,joy,kidd,2013-05-18,Female,1983-01-31,33,25 - 45,Caucasian,0,6,0,0,3,-2,2013-05-16 09:22:15,2013-05-18 06:56:41,13007091CF10A,2013-05-16,,2,F,Possession Of Heroin,1,14015283CF10A,(F3),,2014-02-08,D.U.I. Serious Bodily Injury,,,,1,14015283CF10A,(F3),2014-02-08,D.U.I. Serious Bodily Injury,Risk of Recidivism,6,Medium,2013-05-18,Risk of Violence,2,Low,2013-05-18,2013-05-16,2013-05-18,3,0,266,1,1 +8789,alim rahman,alim,rahman,2014-03-27,Male,1991-11-01,24,Less than 25,Caucasian,0,2,0,0,2,0,2014-03-27 03:28:49,2014-03-27 08:33:05,14012123MU10A,2014-03-27,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-27,Risk of Violence,3,Low,2014-03-27,2014-03-27,2014-03-27,2,0,736,0,0 +8790,kiet ho,kiet,ho,2013-11-14,Male,1963-11-12,52,Greater than 45,Asian,0,1,0,0,0,-1,2013-11-13 12:48:26,2013-11-14 08:11:15,13015770CF10A,2013-11-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-13,2013-11-14,0,0,869,0,0 +8791,vicki stokes,vicki,stokes,2013-04-04,Female,1987-03-16,29,25 - 45,Caucasian,0,6,0,0,0,-1,2013-04-03 12:21:25,2013-04-03 01:03:48,13006353MM10A,2013-04-02,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,3,Low,2013-04-04,2013-04-03,2013-04-03,0,0,1093,0,0 +8792,elizabeth edrich,elizabeth,edrich,2014-01-22,Female,1974-03-13,42,25 - 45,Caucasian,0,2,0,0,0,-1,2014-01-21 09:23:22,2014-01-23 04:19:51,14000877CF10A,2014-01-21,,1,F,Poss Contr Subst W/o Prescript,1,15013440CF10A,(F3),178,2015-05-30,Grand Theft in the 3rd Degree,2015-11-24,2015-11-24,,0,,,,,Risk of Recidivism,2,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2014-05-05,2014-05-07,0,1,103,0,1 +8794,idalia gonzalez,idalia,gonzalez,2013-03-31,Female,1985-12-29,30,25 - 45,Caucasian,0,2,0,1,1,0,2013-03-31 04:29:09,2013-03-31 07:30:43,13004626CF10A,2013-03-31,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-31,Risk of Violence,2,Low,2013-03-31,2013-03-31,2013-03-31,1,0,1097,0,0 +8797,aubrey perry,aubrey,perry,2013-08-07,Male,1982-05-01,33,25 - 45,African-American,0,5,0,0,0,-1,2013-08-06 05:28:37,2013-09-20 05:39:05,13011034CF10A,2013-08-06,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-07,Risk of Violence,4,Low,2013-08-07,2013-08-06,2013-09-20,0,44,968,0,0 +8798,ailton campos,ailton,campos,2013-12-21,Male,1978-04-17,38,25 - 45,Hispanic,0,1,0,0,1,-1,2013-12-20 07:46:00,2013-12-24 12:11:14,13017573CF10A,2013-12-20,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-21,Risk of Violence,1,Low,2013-12-21,2013-12-20,2013-12-24,1,3,832,0,0 +8799,joshua felix,joshua,felix,2014-02-01,Male,1995-02-24,21,Less than 25,African-American,0,6,0,1,2,-1,2014-01-31 12:09:19,2014-02-08 02:22:43,14001421CF10A,2014-01-31,,1,F,Possession of Cocaine,1,14012348MU10A,(M1),0,2014-03-29,Possess Cannabis/20 Grams Or Less,2014-03-29,2014-04-12,,0,,,,,Risk of Recidivism,6,Medium,2014-02-01,Risk of Violence,6,Medium,2014-02-01,2014-03-29,2014-04-12,2,7,56,1,1 +8800,angie hupp,angie,hupp,2013-11-04,Female,1975-04-16,41,25 - 45,Caucasian,0,4,0,0,9,2,2013-11-06 11:28:26,2013-11-07 03:31:28,13020483MM10A,2013-10-30,,5,M,Petit Theft,1,13015461CF10A,(F3),0,2013-11-06,False Ownership Info/Pawn Item,2013-11-06,2013-11-07,,0,,,,,Risk of Recidivism,4,Low,2013-11-04,Risk of Violence,1,Low,2013-11-04,2013-11-06,2013-11-07,9,0,2,1,1 +8802,shawanna kelly,shawanna,kelly,2013-02-17,Female,1988-03-27,28,25 - 45,African-American,0,8,0,0,5,-1,2013-02-16 04:25:52,2013-02-18 04:28:02,12009386MM10A,,2013-02-16,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-17,Risk of Violence,7,Medium,2013-02-17,2013-02-16,2013-02-18,5,1,1139,0,0 +8803,lazaro ruiz,lazaro,ruiz,2013-03-06,Male,1987-12-05,28,25 - 45,Hispanic,0,8,0,0,3,,,,08005705CF10A,,2009-06-10,1365,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-06,Risk of Violence,7,Medium,2013-03-06,2015-07-24,2020-01-01,3,0,870,0,0 +8805,lisa orange,lisa,orange,2014-01-13,Female,1963-08-03,52,Greater than 45,African-American,0,1,0,0,3,0,2014-01-13 02:37:51,2014-01-13 07:46:57,14000567CF10A,2014-01-13,,0,F,False 911 Call,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-13,2014-01-13,3,0,809,0,0 +8807,alex materiale,alex,materiale,2014-03-11,Male,1994-06-04,21,Less than 25,Hispanic,0,8,0,3,1,-25,2014-02-14 11:46:56,2014-02-15 08:32:02,14002133CF10A,2014-02-14,,25,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-11,Risk of Violence,6,Medium,2014-03-11,2014-10-30,2014-11-19,1,0,233,0,0 +8809,dominique gonzalez,dominique,gonzalez,2014-01-13,Female,1993-06-17,22,Less than 25,Hispanic,0,5,0,0,1,-1,2014-01-12 05:58:48,2014-01-14 10:17:25,14000529CF10A,,2014-01-12,1,F,arrest case no charge,1,16010377TC40A,(M2),,2016-02-13,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-13,Risk of Violence,5,Medium,2014-01-13,2014-01-12,2014-01-14,1,1,761,1,0 +8812,steven vigo,steven,vigo,2013-05-24,Male,1983-10-16,32,25 - 45,Hispanic,0,3,0,0,3,0,2013-05-24 02:14:27,2013-05-24 08:22:34,11016528CF10A,,2013-05-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-24,Risk of Violence,2,Low,2013-05-24,2014-05-17,2014-05-23,3,0,358,0,0 +8813,oscar clark,oscar,clark,2014-03-22,Male,1990-06-21,25,25 - 45,African-American,0,2,0,0,0,0,2014-03-22 02:24:16,2014-06-20 08:29:13,14004063CF10A,2014-03-21,,1,F,Corrupt Public Servant,1,15001198CF10A,(M1),0,2015-01-26,Resist/Obstruct W/O Violence,2015-01-26,2015-02-17,,1,15001198CF10A,(F3),2015-01-26,Battery on Law Enforc Officer,Risk of Recidivism,2,Low,2014-03-22,Risk of Violence,3,Low,2014-03-22,2015-01-26,2015-02-17,0,90,310,1,1 +8814,norma collins,norma,collins,2013-05-03,Female,1989-03-14,27,25 - 45,African-American,0,3,0,0,0,-1,2013-05-02 09:32:44,2013-05-03 12:53:32,13008544MM10A,2013-05-02,,1,M,Battery,1,16002190MM10A,(M1),0,2016-03-06,Battery,2016-03-06,2016-03-07,,1,16002190MM10A,(M1),2016-03-06,Battery,Risk of Recidivism,3,Low,2013-05-03,Risk of Violence,3,Low,2013-05-03,2016-03-06,2016-03-07,0,0,1038,1,0 +8816,yoan miranda,yoan,miranda,2013-11-27,Male,1981-03-14,35,25 - 45,Caucasian,0,2,0,0,0,0,2013-11-27 12:01:59,2013-11-28 02:20:19,13016489CF10A,2013-11-26,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-27,Risk of Violence,2,Low,2013-11-27,2013-11-27,2013-11-28,0,1,856,0,0 +8818,tiffany harris,tiffany,harris,2013-09-27,Male,1975-11-10,40,25 - 45,African-American,0,3,0,0,2,-1,2013-09-26 05:51:39,2013-09-27 01:50:53,13018352MM10A,2013-09-26,,1,M,Battery,1,15010505MM10A,(M1),0,2015-10-07,Battery,2015-10-07,2015-10-08,,1,15010505MM10A,(M1),2015-10-07,Battery,Risk of Recidivism,3,Low,2013-09-27,Risk of Violence,3,Low,2013-09-27,2014-03-07,2014-03-08,2,0,161,0,0 +8819,carlene dill,carlene,dill,2013-04-17,Female,1986-05-26,29,25 - 45,Other,0,3,0,0,0,-1,2013-04-16 11:04:17,2013-06-03 09:05:35,13005532CF10A,2013-04-16,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,3,Low,2013-04-17,2013-04-16,2013-06-03,0,47,1080,0,0 +8820,teshane jemmott,teshane,jemmott,2014-09-22,Male,1991-05-18,24,Less than 25,African-American,0,9,0,2,2,-1,2014-09-21 03:02:31,2014-10-15 08:42:14,14014006MM10A,2014-09-21,,1,M,Battery,1,15008729MM10A,(M1),0,2015-07-21,Petit Theft $100- $300,2015-07-21,2015-09-28,,1,15009395CF10A,(F2),2015-07-21,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,9,High,2014-09-22,Risk of Violence,7,Medium,2014-09-22,2015-07-21,2015-09-28,2,23,302,1,1 +8821,william cesaire,william,cesaire,2013-05-25,Male,1991-07-12,24,Less than 25,African-American,5,10,1,0,10,0,2013-05-25 02:03:09,2013-05-25 07:33:04,13007477CF10A,2013-05-24,,1,F,Possession of Cocaine,1,13008621CF10A,(F3),0,2013-06-18,Grand Theft in the 3rd Degree,2013-06-18,2013-10-29,,1,13008621CF10A,(F7),2013-06-18,Burglary Dwelling Assault/Batt,Risk of Recidivism,10,High,2013-05-25,Risk of Violence,9,High,2013-05-25,2013-06-18,2013-10-29,10,0,24,1,1 +8823,derek lerkins,derek,lerkins,2014-12-21,Male,1979-12-10,36,25 - 45,Hispanic,0,10,1,0,26,-1,2014-12-20 08:58:37,2015-04-17 03:54:03,14016843CF10A,2014-12-20,,1,F,Driving While License Revoked,1,15008889CF10A,(F3),,2015-07-10,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,10,High,2014-12-21,Risk of Violence,6,Medium,2014-12-21,2014-12-20,2015-04-17,26,117,201,1,1 +8826,kenneth zackery,kenneth,zackery,2013-09-04,Male,1962-01-06,54,Greater than 45,African-American,0,6,0,0,13,,,,12003511CF10A,,2012-11-15,293,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-04,Risk of Violence,1,Low,2013-09-04,2003-11-17,2011-03-23,13,0,940,0,0 +8827,joel ortiz,joel,ortiz,2013-04-19,Male,1989-06-29,26,25 - 45,Hispanic,0,3,0,0,5,-1,2013-04-18 07:25:19,2013-04-19 01:04:18,13005582CF10A,2013-04-18,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-04-18,2013-04-19,5,0,1078,0,0 +8828,nicholas franchino,nicholas,franchino,2013-10-28,Male,1965-11-11,50,Greater than 45,Caucasian,0,2,0,0,1,0,2013-10-28 01:20:34,2013-11-06 05:46:21,13015010CF10A,2013-10-28,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-28,Risk of Violence,3,Low,2013-10-28,2013-10-28,2013-11-06,1,9,886,0,0 +8830,tevin tolliver,tevin,tolliver,2013-02-15,Male,1994-05-02,21,Less than 25,African-American,0,7,0,0,1,-1,2013-02-14 10:42:43,2013-02-15 10:38:14,13002303CF10A,2013-02-14,,1,F,Grand Theft in the 3rd Degree,1,13005797CF10A,(F3),0,2013-04-23,Grand Theft in the 3rd Degree,2013-04-23,2013-05-31,,0,,,,,Risk of Recidivism,7,Medium,2013-02-15,Risk of Violence,8,High,2013-02-15,2013-04-23,2013-05-31,1,0,67,1,1 +8831,josue espinosa,josue,espinosa,2013-02-17,Male,1964-04-20,51,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-02-16 11:00:54,2013-02-17 07:57:14,13003403MM10A,2013-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-17,Risk of Violence,1,Low,2013-02-17,2013-02-16,2013-02-17,0,0,1139,0,0 +8832,matthew waller,matthew,waller,2013-02-09,Male,1991-12-03,24,Less than 25,African-American,0,5,0,2,2,-1,2013-02-08 05:47:59,2013-02-09 01:13:33,13002006CF10A,2013-02-08,,1,F,Grand Theft in the 3rd Degree,1,13063596TC40A,(M2),41,2013-07-25,Driving License Suspended,2013-09-04,2013-09-22,,0,,,,,Risk of Recidivism,5,Medium,2013-02-09,Risk of Violence,5,Medium,2013-02-09,2013-06-04,2013-06-11,2,0,115,0,1 +8834,rick guerrier,rick,guerrier,2013-11-06,Male,1983-02-12,33,25 - 45,African-American,0,8,2,3,11,-57,2013-09-10 01:16:02,2013-11-06 11:21:21,12004926CF10A,,2013-09-10,57,F,arrest case no charge,1,13023911MM10A,(M1),32,2013-12-28,Resist/Obstruct W/O Violence,2014-01-29,2014-04-08,,0,,,,,Risk of Recidivism,8,High,2013-11-06,Risk of Violence,7,Medium,2013-11-06,2015-10-28,2015-12-02,11,0,52,1,1 +8835,matthew moton,matthew,moton,2013-04-17,Male,1986-09-25,29,25 - 45,African-American,0,1,0,0,3,-1,2013-04-16 04:00:42,2013-04-17 10:35:05,13007370MM10A,2013-04-16,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-17,Risk of Violence,2,Low,2013-04-17,2013-04-16,2013-04-17,3,0,1080,0,0 +8838,daniella vidal,daniella,vidal,2013-08-11,Female,1991-03-03,25,25 - 45,Caucasian,0,4,0,0,0,0,2013-08-11 04:08:29,2013-08-12 02:12:13,13015174MM10A,2013-08-11,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-11,Risk of Violence,4,Low,2013-08-11,2013-08-11,2013-08-12,0,1,964,0,0 +8841,garvin foster,garvin,foster,2014-07-12,Male,1978-02-13,38,25 - 45,African-American,0,3,0,0,0,-1,2014-07-11 12:03:03,2014-07-12 07:39:47,14009529CF10A,2014-07-11,,1,F,Trespass Structure w/Dang Weap,1,14016477MM10A,(M2),0,2014-11-18,Trespass Struct/Conveyance,2014-11-18,2014-12-20,,0,,,,,Risk of Recidivism,3,Low,2014-07-12,Risk of Violence,1,Low,2014-07-12,2014-11-18,2014-12-20,0,0,129,1,1 +8842,javier sanchez,javier,sanchez,2013-09-24,Male,1969-05-21,46,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-09-23 12:47:13,2013-10-04 01:57:13,13012268CF10A,,2013-09-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-24,Risk of Violence,3,Low,2013-09-24,2013-09-23,2013-10-04,1,10,920,0,0 +8843,hardy galette,hardy,galette,2014-11-24,Male,1982-08-02,33,25 - 45,African-American,0,7,0,2,9,-28,2014-10-27 12:30:23,2014-11-11 02:19:27,14015523MM10A,2014-10-27,,28,M,Battery,1,15002117MM10A,(M2),,2014-12-31,Petit Theft,,,,1,15002117MM10A,(M1),2014-12-31,Battery,Risk of Recidivism,7,Medium,2014-11-24,Risk of Violence,7,Medium,2014-11-24,2015-01-30,2015-05-12,9,0,37,1,1 +8844,richard ortiz,richard,ortiz,2013-09-24,Male,1984-07-03,31,25 - 45,Hispanic,0,7,1,0,19,-1,2013-09-23 07:54:43,2013-09-24 07:47:19,13013404CF10A,2013-09-23,,1,F,"Poss 3,4 MDMA (Ecstasy)",1,14009209CF10A,(F3),0,2014-07-04,Possession of Cocaine,2014-07-04,2014-07-04,,1,14009209CF10A,(F3),2014-07-04,Battery on Law Enforc Officer,Risk of Recidivism,7,Medium,2013-09-24,Risk of Violence,2,Low,2013-09-24,2014-07-04,2014-07-04,19,0,283,0,1 +8845,justin brown,justin,brown,2013-01-04,Male,1994-06-17,21,Less than 25,Other,0,4,0,0,0,-1,2013-01-03 08:19:16,2013-01-07 09:42:38,13000137CF10A,2013-01-03,,1,M,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-04,Risk of Violence,6,Medium,2013-01-04,2013-01-03,2013-01-07,0,3,1183,0,0 +8846,paul dillon,paul,dillon,2013-02-18,Male,1955-07-07,60,Greater than 45,Other,0,1,0,0,1,-1,2013-02-17 06:28:19,2013-02-18 12:49:59,13003440MM10A,2013-02-17,,1,M,Battery,1,13007321MM10A,(M1),0,2013-04-15,Driving Under The Influence,2013-04-15,2013-04-15,,0,,,,,Risk of Recidivism,1,Low,2013-02-18,Risk of Violence,1,Low,2013-02-18,2013-04-15,2013-04-15,1,0,56,0,1 +8847,sherry robinson,sherry,robinson,2014-10-20,Female,1976-11-23,39,25 - 45,African-American,0,5,0,0,3,-1,2014-10-19 05:15:53,2014-10-20 01:49:13,14014106CF10A,2014-10-19,,1,F,Uttering a Forged Instrument,1,15012779CF10A,(F3),0,2015-10-03,Possession of Cocaine,2015-10-03,2015-10-12,,0,,,,,Risk of Recidivism,5,Medium,2014-10-20,Risk of Violence,3,Low,2014-10-20,2015-07-20,2015-07-28,3,0,273,0,1 +8849,jermonte lucas,jermonte,lucas,2013-07-19,Male,1993-03-13,23,Less than 25,African-American,0,5,0,0,1,-39,2013-06-10 07:20:02,2013-06-11 06:37:04,13008230CF10A,,2013-07-15,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-19,Risk of Violence,5,Medium,2013-07-19,2013-06-10,2013-06-11,1,0,987,0,0 +8852,janae washington,janae,washington,2014-10-06,Female,1993-03-07,23,Less than 25,African-American,0,5,0,0,3,-169,2014-04-20 04:23:28,2014-04-21 01:59:43,14006619MM10A,2014-04-20,,169,M,Battery,1,15011289CF10A,(F3),0,2015-09-01,Retail Theft $300 1st Offense,2015-09-01,2015-09-04,,0,,,,,Risk of Recidivism,5,Medium,2014-10-06,Risk of Violence,4,Low,2014-10-06,2015-09-01,2015-09-04,3,0,330,1,1 +8854,dalvis martin,dalvis,martin,2013-09-05,Male,1980-12-08,35,25 - 45,African-American,0,4,0,0,4,-1,2013-09-04 01:52:20,2013-09-15 02:36:41,13012486CF10A,,2013-09-04,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-05,Risk of Violence,5,Medium,2013-09-05,2015-06-01,2015-06-20,4,10,634,0,0 +8855,scott watson,scott,watson,2014-02-19,Male,1966-07-01,49,Greater than 45,Caucasian,0,2,0,0,12,-1,2014-02-18 05:07:04,2014-02-21 04:17:55,14002303CF10A,2014-02-18,,1,F,Possession Burglary Tools,1,14000627MM30A,(M2),,2014-03-31,Prowling/Loitering,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-19,Risk of Violence,2,Low,2014-02-19,2014-02-18,2014-02-21,12,2,40,1,1 +8856,frederick thomas,frederick,thomas,2013-04-01,Male,1990-04-07,26,25 - 45,Other,0,4,0,0,1,-1,2013-03-31 03:47:27,2013-04-01 06:11:22,13006185MM10A,2013-03-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-01,Risk of Violence,7,Medium,2013-04-01,2013-03-31,2013-04-01,1,0,1096,0,0 +8857,elio rivera,elio,rivera,2013-01-06,Male,1988-05-26,27,25 - 45,Caucasian,0,5,0,0,0,0,2013-01-06 04:31:06,2013-01-08 05:20:57,13000301MM10A,2013-01-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-06,Risk of Violence,4,Low,2013-01-06,2013-01-06,2013-01-08,0,2,1181,0,0 +8858,samuel mcleod,samuel,mcleod,2014-03-23,Male,1993-09-21,22,Less than 25,African-American,0,6,1,3,2,-1,2014-03-22 11:52:10,2014-03-23 08:29:09,14004062CF10A,2014-03-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-23,Risk of Violence,5,Medium,2014-03-23,2014-03-22,2014-03-23,2,0,740,0,0 +8859,adonica mclemore,adonica,mclemore,2014-07-20,Female,1986-08-12,29,25 - 45,African-American,0,4,0,0,0,-1,2014-07-19 05:05:54,2014-07-20 08:08:01,14009867CF10A,2014-07-19,,1,F,Aggravated Battery (Firearm),1,15015131CF10A,(F3),51,2015-10-10,Burglary Conveyance Unoccup,2015-11-30,2015-12-03,,1,15015131CF10A,(M1),2015-10-10,Battery,Risk of Recidivism,4,Low,2014-07-20,Risk of Violence,2,Low,2014-07-20,2015-11-30,2015-12-03,0,0,447,1,1 +8861,kenneth hammond,kenneth,hammond,2014-01-12,Male,1984-09-10,31,25 - 45,African-American,0,9,0,0,0,-1,2014-01-11 06:00:49,2014-01-13 02:58:29,14000490CF10A,2014-01-11,,1,M,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-12,Risk of Violence,4,Low,2014-01-12,2014-01-11,2014-01-13,0,1,810,0,0 +8863,victor morales,victor,morales,2013-01-02,Male,1984-10-22,31,25 - 45,Hispanic,0,6,0,0,5,0,2013-01-02 02:49:02,2013-02-08 07:30:05,13000067CF10A,2013-01-02,,0,F,Crim Use of Personal ID Info,1,13016228CF10A,(M2),8,2013-11-14,Petit Theft,2013-11-22,2014-03-04,,0,,,,,Risk of Recidivism,6,Medium,2013-01-02,Risk of Violence,6,Medium,2013-01-02,2013-02-26,2013-09-21,5,37,55,0,1 +8864,shantelle jordan,shantelle,jordan,2013-04-28,Female,1986-12-19,29,25 - 45,Hispanic,0,3,0,0,0,0,2013-04-28 04:06:52,2013-04-28 06:43:22,13006110CF10A,2013-04-28,,0,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-28,Risk of Violence,3,Low,2013-04-28,2013-04-28,2013-04-28,0,0,1069,0,0 +8865,fay mizrachi,fay,mizrachi,2013-04-25,Female,1951-01-16,65,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-24 07:03:33,2013-04-25 01:08:21,13005904CF10A,2013-04-24,,1,F,Fraudulent Use of Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-24,2013-04-25,0,0,1072,0,0 +8866,margarita gonzalez,margarita,gonzalez,2013-06-06,Female,1981-11-01,34,25 - 45,Hispanic,0,3,0,0,1,-5,2013-06-01 10:35:08,2013-06-05 06:03:38,13010521MM10A,2013-06-01,,5,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-06,Risk of Violence,1,Low,2013-06-06,2013-06-01,2013-06-05,1,0,1030,0,0 +8867,michael flores,michael,flores,2013-02-23,Male,1991-11-25,24,Less than 25,Caucasian,0,10,0,2,6,0,2013-02-23 03:17:40,2013-03-02 08:24:16,13002782CF10A,2013-02-23,,0,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-23,Risk of Violence,5,Medium,2013-02-23,2015-10-12,2015-10-12,6,7,961,0,0 +8869,roderick penn,roderick,penn,2013-01-26,Male,1969-10-02,46,Greater than 45,African-American,0,2,0,0,0,0,2013-01-26 07:30:18,2013-01-27 08:32:51,13001878MM10A,2013-01-26,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-26,Risk of Violence,1,Low,2013-01-26,2013-01-26,2013-01-27,0,1,1161,0,0 +8870,andres perez,andres,perez,2013-08-27,Male,1990-01-06,26,25 - 45,Other,0,2,0,0,3,-41,2013-07-17 01:14:32,2013-08-27 03:55:00,13009969CF10A,2013-07-16,,42,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,3,Low,2013-08-27,2013-07-17,2013-08-27,3,0,948,0,0 +8871,meshach ferguson,meshach,ferguson,2014-01-21,Male,1995-06-10,20,Less than 25,African-American,0,4,0,0,0,0,2014-01-21 12:11:58,2014-01-21 01:27:56,14000852CF10A,2014-01-20,,1,F,Pos Cannabis W/Intent Sel/Del,1,14003299MM20A,(M2),85,2014-10-25,Petit Theft,2015-01-18,2015-01-18,,0,,,,,Risk of Recidivism,4,Low,2014-01-21,Risk of Violence,6,Medium,2014-01-21,2015-01-18,2015-01-18,0,0,277,1,1 +8873,rayshawn childs,rayshawn,childs,2014-07-05,Male,1987-03-19,29,25 - 45,African-American,0,10,0,0,16,-1,2014-07-04 02:04:06,2014-08-06 08:47:16,14009204CF10A,2014-07-04,,1,F,Grand Theft (Motor Vehicle),1,14015704CF10A,(F3),1,2014-11-20,Aggrav Stalking After Injunctn,2014-11-21,2014-11-23,,0,,,,,Risk of Recidivism,10,High,2014-07-05,Risk of Violence,9,High,2014-07-05,2014-07-04,2014-08-06,16,32,138,1,1 +8876,ceven lewis,ceven,lewis,2013-02-09,Male,1986-04-20,29,25 - 45,African-American,0,3,0,0,7,0,2013-02-09 03:34:10,2013-02-11 09:29:51,13002034CF10A,2013-02-09,,0,F,Burglary Dwelling Occupied,1,15042467TC30A,(M2),,2015-06-09,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-09,Risk of Violence,2,Low,2013-02-09,2014-07-25,2014-07-26,7,2,531,0,0 +8877,robin foy,robin,foy,2014-02-04,Female,1960-02-07,56,Greater than 45,Caucasian,0,1,0,0,3,-1,2014-02-03 06:27:36,2014-02-04 01:31:30,14001597CF10A,2014-02-03,,1,F,Unlicensed Telemarketing,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-03,2014-02-04,3,0,787,0,0 +8879,arrik young,arrik,young,2013-04-07,Male,1994-12-13,21,Less than 25,African-American,0,4,0,0,0,0,2013-04-07 02:50:45,2013-04-08 04:00:00,13004999CF10A,2013-04-06,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-07,Risk of Violence,7,Medium,2013-04-07,2013-04-07,2013-04-08,0,1,1090,0,0 +8881,anthony strickland,anthony,strickland,2013-01-07,Male,1975-12-12,40,25 - 45,African-American,0,10,0,0,0,0,2013-01-07 02:33:54,2013-01-11 09:36:33,13000278CF10A,2013-01-07,,0,F,Possession of Cocaine,1,13006180MO10A,(MO3),0,2013-03-31,Resisting W/O Violence,2013-03-31,2013-06-14,,1,13006180MO10A,(MO3),2013-03-31,Battery Spouse Or Girlfriend,Risk of Recidivism,10,High,2013-01-07,Risk of Violence,9,High,2013-01-07,2013-03-31,2013-06-14,0,4,83,1,1 +8882,peter bonbon,peter,bonbon,2014-02-14,Male,1994-02-11,22,Less than 25,African-American,0,9,0,0,2,-1,2014-02-13 12:25:47,2014-04-09 05:37:42,14002561MM10A,2014-02-13,,1,M,Viol Injunct Domestic Violence,1,14009680MM10A,(M1),0,2014-06-20,Possess Cannabis/20 Grams Or Less,2014-06-20,2014-06-20,,1,15008422MM10A,(M1),2015-08-09,Battery,Risk of Recidivism,9,High,2014-02-14,Risk of Violence,8,High,2014-02-14,2014-06-20,2014-06-20,2,54,126,0,1 +8884,christopher freeman,christopher,freeman,2014-01-06,Male,1976-09-08,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-05 06:33:24,2014-01-06 12:02:21,14000387MU10A,2014-01-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-05,2014-01-06,0,0,816,0,0 +8885,celoues cemelus,celoues,cemelus,2013-11-19,Male,1994-01-31,22,Less than 25,African-American,0,8,1,0,1,0,2013-11-19 12:23:13,2013-11-19 08:18:36,13016446CF10A,2013-11-19,,0,F,Battery on Law Enforc Officer,1,15000593CF10A,(F3),0,2014-08-10,Possession of Cocaine,2014-08-10,2015-05-06,,0,,,,,Risk of Recidivism,8,High,2013-11-19,Risk of Violence,10,High,2013-11-19,2014-02-26,2014-05-14,1,0,99,0,1 +8887,karen cypress,karen,cypress,2014-06-18,Female,1988-07-26,27,25 - 45,Other,0,6,0,0,5,-2,2014-06-16 11:30:21,2014-06-18 04:29:17,14000830CF10A,,2014-06-17,1,F,arrest case no charge,1,15042764TC40A,(M2),78,2015-07-15,Opert With Susp DL 2nd Offens,2015-10-01,2015-10-06,,0,,,,,Risk of Recidivism,6,Medium,2014-06-18,Risk of Violence,4,Low,2014-06-18,2015-10-01,2015-10-06,5,0,392,1,1 +8889,johnny bland,johnny,bland,2014-01-17,Male,1980-04-07,36,25 - 45,Caucasian,0,2,0,0,1,0,2014-01-17 02:33:03,2014-01-17 09:43:27,14000770CF10A,2014-01-17,,0,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-17,Risk of Violence,1,Low,2014-01-17,2014-01-17,2014-01-17,1,0,805,0,0 +8890,jonathan cleare,jonathan,cleare,2013-11-23,Male,1985-12-10,30,25 - 45,African-American,0,1,0,0,0,-1,2013-11-22 03:20:19,2013-11-24 02:55:48,13016251CF10A,2013-11-22,,1,F,Computer Pornography,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-23,Risk of Violence,2,Low,2013-11-23,2013-11-22,2013-11-24,0,1,860,0,0 +8891,michael hinsch,michael,hinsch,2013-09-24,Male,1959-12-03,56,Greater than 45,Caucasian,0,4,0,0,17,41,2013-11-04 03:43:08,2013-11-27 09:09:54,13010917CF10A,2013-08-02,,53,F,Corrupt Public Servant,1,13020817MM10A,(M1),0,2013-11-04,Battery,2013-11-04,2013-11-27,,1,13020817MM10A,(M1),2013-11-04,Battery,Risk of Recidivism,4,Low,2013-09-24,Risk of Violence,4,Low,2013-09-24,2013-11-04,2013-11-27,17,0,41,1,1 +8893,charleton latimore,charleton,latimore,2013-09-15,Male,1979-11-16,36,25 - 45,African-American,0,6,0,0,0,-1,2013-09-14 07:15:24,2013-09-16 03:47:12,13017532MM10A,2013-09-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-15,Risk of Violence,5,Medium,2013-09-15,2013-09-14,2013-09-16,0,1,929,0,0 +8894,donathan james,donathan,james,2013-03-11,Male,1977-12-23,38,25 - 45,African-American,0,7,0,0,5,,,,13004867MM10A,2013-03-11,,0,M,Unlaw Use False Name/Identity,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-11,Risk of Violence,7,Medium,2013-03-11,,,5,0,1117,0,0 +8897,joseph fallon,joseph,fallon,2013-01-28,Male,1984-02-29,32,25 - 45,African-American,0,1,0,0,0,-1,2013-01-27 06:27:20,2013-01-29 10:59:12,13001335CF10A,2013-01-27,,1,F,Robbery / Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-29,0,1,1159,0,0 +8899,shamika conyers,shamika,conyers,2014-10-06,Female,1981-09-03,34,25 - 45,African-American,0,9,0,0,5,-1,2014-10-05 11:42:44,2014-10-31 09:09:52,14013408CF10A,2014-10-05,,1,F,Agg Battery Grt/Bod/Harm,1,15003771MM40A,(M1),,2015-09-14,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,9,High,2014-10-06,Risk of Violence,2,Low,2014-10-06,2014-10-05,2014-10-31,5,25,343,1,1 +8902,samuel louis,samuel,louis,2013-01-22,Male,1992-07-05,23,Less than 25,Other,0,3,0,0,0,-1,2013-01-21 11:08:31,2013-01-22 02:00:40,13001438MM10A,2013-01-21,,1,M,Possess Cannabis/20 Grams Or Less,1,15008975MM10A,(M2),0,2015-08-25,Interfere With K9/Horses Duties,2015-08-25,2015-08-26,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,4,Low,2013-01-22,2015-08-25,2015-08-26,0,0,945,1,0 +8905,german garciadiciocco,german,garciadiciocco,2013-08-04,Male,1963-08-01,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-03 08:41:11,2013-08-04 08:02:48,13014645MM10A,2013-08-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-04,Risk of Violence,1,Low,2013-08-04,2013-08-03,2013-08-04,0,0,971,0,0 +8906,richard kleinhenz,richard,kleinhenz,2013-12-10,Male,1995-08-29,20,Less than 25,Caucasian,0,10,1,1,1,-1,2013-12-09 01:36:50,2013-12-22 01:52:00,13017033CF10A,2013-12-09,,1,F,Poss Tetrahydrocannabinols,1,15043662TC20A,(M2),,2015-07-24,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,10,High,2013-12-10,Risk of Violence,10,High,2013-12-10,2014-01-10,2014-01-14,1,12,31,0,1 +8908,leverdieu jasmin,leverdieu,jasmin,2013-12-01,Male,1977-07-11,38,25 - 45,African-American,0,4,0,0,5,-1,2013-11-30 11:15:26,2013-12-06 02:02:27,13022342MM10A,2013-11-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-01,Risk of Violence,2,Low,2013-12-01,2013-11-30,2013-12-06,5,5,852,0,0 +8909,irangel arocho,irangel,arocho,2013-02-13,Male,1969-10-09,46,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-13 01:58:51,2013-02-13 07:54:38,13003133MM10A,2013-02-13,,0,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-02-13,2013-02-13,0,0,1143,0,0 +8910,dante thomas,dante,thomas,2014-11-02,Male,1988-09-04,27,25 - 45,African-American,0,4,0,0,0,-1,2014-11-01 09:14:39,2014-11-10 09:14:59,14014678CF10A,2014-11-01,,1,F,Uttering a Forged Instrument,1,14015161CF10A,(F3),,2014-11-07,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,4,Low,2014-11-02,Risk of Violence,4,Low,2014-11-02,2014-11-01,2014-11-10,0,0,5,1,1 +8914,kesneil johnson,kesneil,johnson,2014-11-05,Male,1995-11-15,20,Less than 25,African-American,0,3,0,0,2,-17,2014-10-19 08:57:11,2014-11-04 09:23:44,14014123CF10A,2014-10-19,,17,F,Aggravated Assault W/Dead Weap,1,15011136CF10A,(F3),0,2015-08-28,Felony Petit Theft,2015-08-28,2015-09-17,,1,15011136CF10A,(M1),2015-08-28,Battery,Risk of Recidivism,3,Low,2014-11-05,Risk of Violence,5,Medium,2014-11-05,2014-12-07,2014-12-24,2,0,32,0,1 +8916,larhonda mcmillan,larhonda,mcmillan,2013-09-11,Female,1964-10-04,51,Greater than 45,African-American,0,1,0,0,1,,,,12024026MM10A,2012-11-24,,291,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,,,1,0,933,0,0 +8918,joanna korn,joanna,korn,2014-04-15,Female,1986-11-28,29,25 - 45,Caucasian,0,2,0,0,1,-6,2014-04-09 01:12:29,2014-04-10 01:16:55,14004944CF10A,2014-04-08,,7,F,Burglary Conveyance Unoccup,1,14000997MM30A,(M2),157,2014-06-13,Petit Theft,2014-11-17,2014-11-18,,0,,,,,Risk of Recidivism,2,Low,2014-04-15,Risk of Violence,2,Low,2014-04-15,2015-07-10,2015-07-16,1,0,59,1,1 +8920,deana jacquely,deana,jacquely,2013-09-05,Female,1980-10-25,35,25 - 45,African-American,0,2,0,0,7,-1,2013-09-04 03:10:30,2013-09-06 04:06:17,13012515CF10A,2013-09-04,,1,F,Driving While License Revoked,1,13044356TC10A,(M2),0,2013-11-11,Operating W/O Valid License,2013-11-11,2013-11-12,,0,,,,,Risk of Recidivism,2,Low,2013-09-05,Risk of Violence,1,Low,2013-09-05,2013-11-11,2013-11-12,7,1,67,1,1 +8921,herbert conley,herbert,conley,2014-08-10,Male,1979-02-20,37,25 - 45,Caucasian,0,1,0,0,1,-1,2014-08-09 03:33:07,2014-08-10 09:01:00,14012047MM10A,2014-08-09,,1,M,Battery,1,15012234TC40A,(M2),,2015-02-12,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,1,Low,2014-08-10,Risk of Violence,1,Low,2014-08-10,2014-08-09,2014-08-10,1,0,186,1,1 +8922,lawrence wanschek,lawrence,wanschek,2013-05-26,Male,1952-12-24,63,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-25 11:32:19,2013-05-26 08:33:03,13007476CF10A,2013-05-25,,1,F,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-26,0,0,1041,0,0 +8923,jahmal parker,jahmal,parker,2013-05-14,Male,1988-12-01,27,25 - 45,African-American,0,6,0,0,2,,,,12014001CF10A,2012-09-22,,234,F,Robbery / Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-14,Risk of Violence,4,Low,2013-05-14,,,2,0,1053,0,0 +8924,freddie davis,freddie,davis,2014-08-26,Male,1988-06-02,27,25 - 45,African-American,0,4,0,0,1,-1,2014-08-25 10:18:43,2014-08-26 08:44:24,14011603CF10A,2014-08-25,,1,F,Aggravated Battery / Pregnant,1,15007140CF10A,(F3),0,2015-06-01,Stalking (Aggravated),2015-06-01,2015-07-03,,1,15007140CF10A,(F3),2015-06-01,Agg Assault W/int Com Fel Dome,Risk of Recidivism,4,Low,2014-08-26,Risk of Violence,5,Medium,2014-08-26,2015-02-11,2015-02-12,1,0,169,0,1 +8925,brunsweck jeanpierre,brunsweck,jeanpierre,2014-01-29,Male,1989-01-07,27,25 - 45,African-American,0,5,0,0,0,-1,2014-01-28 01:58:14,2014-01-31 08:36:08,14001241CF10A,2014-01-28,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-29,Risk of Violence,4,Low,2014-01-29,2016-03-16,2016-03-23,0,2,777,0,0 +8926,kevon williams,kevon,williams,2013-01-14,Male,1991-08-27,24,Less than 25,African-American,0,6,0,0,2,0,2013-01-14 04:26:32,2013-01-14 08:35:41,13000880MM10A,2013-01-14,,0,M,Possess Cannabis/20 Grams Or Less,1,13001102CF10A,(F2),0,2013-01-23,Poss Cocaine/Intent To Del/Sel,2013-01-23,2013-10-26,,0,,,,,Risk of Recidivism,6,Medium,2013-01-14,Risk of Violence,5,Medium,2013-01-14,2013-01-23,2013-10-26,2,0,9,1,1 +8929,eugenio perez-cuyuch,eugenio,perez-cuyuch,2013-12-10,Male,1986-02-23,30,25 - 45,Hispanic,0,2,0,0,1,0,2013-12-10 01:59:40,2013-12-10 01:29:40,13017070CF10A,2013-12-09,,1,F,Driving While License Revoked,1,14005893CF10A,(M2),0,2014-04-28,Expired DL More Than 6 Months,2014-04-28,2014-04-29,,0,,,,,Risk of Recidivism,2,Low,2013-12-10,Risk of Violence,2,Low,2013-12-10,2014-04-28,2014-04-29,1,0,139,1,1 +8930,courtney mallory,courtney,mallory,2013-02-06,Male,1984-03-23,32,25 - 45,African-American,0,8,1,0,13,680,2014-12-18 03:38:06,2014-12-18 12:53:57,11027500MM10A,2011-11-13,,451,M,Criminal Mischief>$200<$1000,1,14050829TC40A,(M2),159,2014-07-12,Driving License Suspended,2014-12-18,2014-12-18,,0,,,,,Risk of Recidivism,8,High,2013-02-06,Risk of Violence,9,High,2013-02-06,2015-05-27,2015-05-28,13,0,521,1,1 +8933,sean foley,sean,foley,2013-05-20,Male,1991-02-22,25,25 - 45,Caucasian,0,10,0,0,4,0,2013-05-20 03:24:29,2013-06-22 05:44:52,13007187CF10A,2013-05-20,,0,F,Grand Theft in the 3rd Degree,1,13021881MM10A,(M1),,2013-07-16,Petit Theft,,,,0,,,,,Risk of Recidivism,10,High,2013-05-20,Risk of Violence,9,High,2013-05-20,2013-05-20,2013-06-22,4,33,57,1,1 +8935,jereme sheppard,jereme,sheppard,2013-11-26,Male,1991-05-22,24,Less than 25,African-American,2,9,1,0,10,-251,2013-03-20 10:47:45,2013-03-21 07:11:57,13011948TC10A,2013-03-20,,251,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-26,Risk of Violence,5,Medium,2013-11-26,2013-03-20,2013-03-21,10,0,857,0,0 +8936,carlos eady,carlos,eady,2013-09-07,Male,1988-12-30,27,25 - 45,African-American,0,1,0,0,0,0,2013-09-07 01:01:09,2013-09-08 04:02:48,13017038MM10A,2013-09-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-07,Risk of Violence,2,Low,2013-09-07,2015-01-09,2015-03-15,0,1,489,0,0 +8938,rabecca davis,rabecca,davis,2014-01-13,Female,1967-05-11,48,Greater than 45,African-American,0,5,0,0,0,-1,2014-01-12 10:49:59,2014-01-22 08:49:33,14000573MM10A,2014-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-13,Risk of Violence,3,Low,2014-01-13,2014-01-12,2014-01-22,0,9,809,0,0 +8939,iyana llanos,iyana,llanos,2014-01-27,Female,1990-03-06,26,25 - 45,African-American,0,4,0,0,1,-23,2014-01-04 11:01:26,2014-01-05 04:59:52,14000189MM10A,2014-01-04,,23,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-27,Risk of Violence,5,Medium,2014-01-27,2014-01-04,2014-01-05,1,0,795,0,0 +8940,samir soussi,samir,soussi,2014-01-31,Male,1957-07-10,58,Greater than 45,Other,0,1,0,0,0,0,2014-01-31 01:07:44,2014-01-31 08:14:11,14001354CF10A,2014-01-30,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2014-01-31,2014-01-31,0,0,791,0,0 +8941,andrew levesen,andrew,levesen,2013-05-01,Male,1993-03-04,23,Less than 25,Caucasian,0,5,0,2,1,-20,2013-04-11 02:10:37,2013-04-30 07:29:15,13005239CF10A,2013-04-11,,20,F,Burglary Conveyance Unoccup,1,13011020CF10A,(F3),0,2013-08-06,Deliver Cannabis,2013-08-06,2013-10-14,,0,,,,,Risk of Recidivism,5,Medium,2013-05-01,Risk of Violence,6,Medium,2013-05-01,2013-08-06,2013-10-14,1,0,97,1,1 +8942,kevin sisson,kevin,sisson,2014-05-05,Male,1994-01-03,22,Less than 25,Caucasian,0,4,1,1,3,0,2014-05-05 01:12:47,2014-05-05 07:50:14,14007419MM10A,2014-05-04,,1,M,Battery,1,16000189CF10A,(F3),62,2015-11-04,Crim Use of Personal ID Info,2016-01-05,2016-01-05,,0,,,,,Risk of Recidivism,4,Low,2014-05-05,Risk of Violence,5,Medium,2014-05-05,2016-01-05,2016-01-05,3,0,548,1,1 +8943,patricia younger,patricia,younger,2013-10-07,Female,1964-05-13,51,Greater than 45,African-American,0,1,0,0,4,-60,2013-08-08 08:23:20,2013-10-07 11:12:43,08014336CF10A,,2013-08-08,60,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-08-08,2013-10-07,4,0,907,0,0 +8944,alens joseph,alens,joseph,2013-03-20,Male,1974-05-19,41,25 - 45,African-American,0,1,0,0,0,-1,2013-03-19 11:12:30,2013-03-23 01:04:00,13003985CF10A,,2013-03-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2015-10-14,2015-10-20,0,3,938,0,0 +8945,ronald smith,ronald,smith,2013-01-15,Male,1994-11-03,21,Less than 25,African-American,0,7,0,0,0,-1,2013-01-14 03:40:11,2013-01-15 01:09:24,13000643CF10A,2013-01-14,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,7,Medium,2013-01-15,2013-01-14,2013-01-15,0,0,1172,0,0 +8946,kenson jeanphilippe,kenson,jeanphilippe,2013-12-22,Male,1983-07-12,32,25 - 45,African-American,0,7,0,0,1,,,,12005060MM10A,2012-03-10,,652,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-22,Risk of Violence,9,High,2013-12-22,,,1,0,831,0,0 +8948,mikemsonn michaud,mikemsonn,michaud,2013-04-26,Male,1989-08-03,26,25 - 45,Other,0,2,0,0,0,-1,2013-04-25 01:57:38,2013-04-26 07:29:04,13008016MM10A,2013-04-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,3,Low,2013-04-26,2013-04-25,2013-04-26,0,0,1071,0,0 +8949,sunil jagpal,sunil,jagpal,2013-01-27,Female,1977-01-20,39,25 - 45,African-American,0,6,0,0,3,-1,2013-01-26 05:18:10,2013-01-28 06:53:55,13003859TC10A,2013-01-26,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-27,Risk of Violence,2,Low,2013-01-27,2014-07-22,2014-08-06,3,1,541,0,0 +8950,blessing egbarin,blessing,egbarin,2014-02-19,Female,1967-04-20,48,Greater than 45,Other,0,1,0,0,0,,,,14002819MM10A,2014-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-19,Risk of Violence,1,Low,2014-02-19,,,0,0,772,0,0 +8954,trevor grosholz,trevor,grosholz,2013-12-31,Male,1969-12-30,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-30 11:43:47,2013-12-31 01:41:52,13023993MM10A,2013-12-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-31,Risk of Violence,1,Low,2013-12-31,2013-12-30,2013-12-31,0,0,822,0,0 +8955,emilio perez,emilio,perez,2014-02-20,Male,1959-12-26,56,Greater than 45,Hispanic,0,8,0,0,2,,,,11067674TC40A,2011-09-30,,874,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-20,Risk of Violence,5,Medium,2014-02-20,2007-11-21,2008-09-06,2,0,771,0,0 +8957,jaylan severin,jaylan,severin,2014-09-30,Male,1993-06-03,22,Less than 25,African-American,0,7,0,0,1,112,2015-01-20 07:15:44,2015-01-21 08:02:43,14012270MO10A,2014-08-08,,53,M,Poss Of Controlled Substance,1,15000891CF10A,(F3),0,2015-01-20,Possession of Cocaine,2015-01-20,2015-01-21,,0,,,,,Risk of Recidivism,7,Medium,2014-09-30,Risk of Violence,4,Low,2014-09-30,2015-01-20,2015-01-21,1,0,112,1,1 +8959,anton porter,anton,porter,2013-12-17,Male,1982-11-05,33,25 - 45,Other,0,8,1,0,7,-1,2013-12-16 02:37:00,2014-04-11 03:13:00,13017382CF10A,2013-12-16,,1,F,Trespass Property w/Dang Weap,1,15015388CF10A,(F3),143,2015-11-03,Felony Battery (Dom Strang),2016-03-25,2016-03-26,,1,15015388CF10A,(F3),2015-11-03,Felony Battery (Dom Strang),Risk of Recidivism,8,High,2013-12-17,Risk of Violence,3,Low,2013-12-17,2013-12-16,2014-04-11,7,115,686,1,1 +8960,dominic zackery,dominic,zackery,2013-03-15,Male,1979-09-12,36,25 - 45,African-American,0,4,0,0,2,-1,2013-03-14 04:27:17,2013-04-30 07:29:24,13001483CF10A,,2013-03-15,0,F,arrest case no charge,1,13012276CF10A,(F3),0,2013-08-30,Driving While License Revoked,2013-08-30,2013-08-31,,0,,,,,Risk of Recidivism,4,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2013-08-30,2013-08-31,2,46,168,1,1 +8961,manuel baker,manuel,baker,2014-07-01,Male,1996-02-11,20,Less than 25,Native American,0,9,1,0,1,-5,2014-06-26 10:46:59,2014-07-01 11:20:41,14005315CF10A,,2014-06-26,5,F,arrest case no charge,1,15000912CF10A,(M1),1,2015-01-21,Resist/Obstruct W/O Violence,2015-01-22,2015-05-07,,1,15000912CF10A,(F3),2015-01-21,Battery on Law Enforc Officer,Risk of Recidivism,9,High,2014-07-01,Risk of Violence,9,High,2014-07-01,2015-01-22,2015-05-07,1,0,204,1,1 +8962,randy fernandez,randy,fernandez,2014-01-05,Male,1983-11-07,32,25 - 45,Caucasian,0,3,0,0,0,-1,2014-01-04 12:57:21,2014-01-05 02:30:43,14000175MM10A,2014-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-05,Risk of Violence,3,Low,2014-01-05,2014-01-04,2014-01-05,0,0,817,0,0 +8964,dexter wilcox,dexter,wilcox,2014-03-23,Male,1977-11-29,38,25 - 45,African-American,0,4,0,0,17,-1,2014-03-22 05:44:03,2014-03-23 09:10:59,14004996MM10A,2014-03-22,,1,M,Battery,1,15014792CF10A,(F1),0,2015-11-14,Trafficking In Cocaine 200-400,2015-11-14,2015-11-15,,0,,,,,Risk of Recidivism,4,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2015-11-14,2015-11-15,17,0,601,1,1 +8967,silvio lopez,silvio,lopez,2013-06-03,Male,1951-11-10,64,Greater than 45,Hispanic,0,1,0,0,1,-2,2013-06-01 10:15:46,2013-06-02 08:24:11,13010506MM10A,2013-06-01,,2,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-03,Risk of Violence,1,Low,2013-06-03,2013-06-01,2013-06-02,1,0,1033,0,0 +8969,jhemel west,jhemel,west,2014-09-15,Male,1993-07-16,22,Less than 25,African-American,0,5,0,0,1,-1,2014-09-14 08:51:02,2014-09-19 08:55:55,14012484CF10A,2014-09-14,,1,F,Burglary Conveyance Unoccup,1,15012080CF10A,(M1),0,2015-09-17,Petit Theft $100- $300,2015-09-17,2015-10-27,,0,,,,,Risk of Recidivism,5,Medium,2014-09-15,Risk of Violence,5,Medium,2014-09-15,2015-09-17,2015-10-27,1,4,367,1,1 +8970,frederick vetensky,frederick,vetensky,2014-09-22,Male,1947-02-23,69,Greater than 45,Caucasian,0,1,0,0,0,-7,2014-09-15 10:08:39,2014-09-18 04:15:00,14033314MU10A,2014-09-15,,7,M,Driving Under The Influence,1,15011157TC10A,(M1),0,2015-04-08,Opert With Susp DL 2nd Offens,2015-04-08,2015-04-10,,0,,,,,Risk of Recidivism,1,Low,2014-09-22,Risk of Violence,1,Low,2014-09-22,2015-04-08,2015-04-10,0,0,198,1,1 +8971,fabensky michel,fabensky,michel,2014-03-03,Male,1990-01-03,26,25 - 45,African-American,0,4,0,0,2,-23,2014-02-08 07:11:12,2014-02-09 01:26:52,14001807CF10A,2014-02-08,,23,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-03,Risk of Violence,4,Low,2014-03-03,2014-02-08,2014-02-09,2,0,760,0,0 +8972,shanaice pinkney,shanaice,pinkney,2014-02-05,Female,1988-09-05,27,25 - 45,African-American,0,6,0,0,1,-1,2014-02-04 08:32:01,2014-02-20 09:14:15,14001959MM10A,2014-02-04,,1,M,Battery,1,15000118MM10A,(M2),0,2015-01-03,Petit Theft,2015-01-03,2015-01-04,,0,,,,,Risk of Recidivism,6,Medium,2014-02-05,Risk of Violence,4,Low,2014-02-05,2015-01-03,2015-01-04,1,15,332,1,1 +8973,elizabeth wiess,elizabeth,wiess,2013-01-30,Female,1986-04-05,30,25 - 45,Caucasian,0,6,0,0,1,40,2013-03-11 12:07:04,2013-03-19 11:20:35,12013432MM10A,2012-06-28,,216,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-30,Risk of Violence,2,Low,2013-01-30,2013-03-11,2013-03-19,1,0,40,0,0 +8974,tyrie walker,tyrie,walker,2013-04-30,Male,1994-01-25,22,Less than 25,African-American,0,8,0,0,2,-1,2013-04-29 04:28:02,2013-04-30 07:17:44,13006149CF10A,2013-04-29,,1,F,Robbery Sudd Snatch No Weapon,1,15016724TC10A,(M2),,2015-05-18,Operating W/O Valid License,,,,1,15009326MM10A,(M1),2015-07-24,Battery,Risk of Recidivism,8,High,2013-04-30,Risk of Violence,8,High,2013-04-30,2013-04-29,2013-04-30,2,0,748,1,0 +8976,catherine scher,catherine,scher,2013-12-22,Female,1972-05-28,43,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-22 02:32:05,2013-12-23 01:40:39,13017627CF10A,2013-12-21,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-22,2013-12-23,0,1,831,0,0 +8980,dennys perez-alejo,dennys,perez-alejo,2013-01-24,Male,1991-08-16,24,Less than 25,Hispanic,0,1,0,0,0,565,2014-08-12 06:06:54,2014-09-11 02:05:39,13001178CF10A,2013-01-24,,0,F,Manufacture Cannabis,1,14012172MM10A,(M1),0,2014-08-12,Petit Theft $100- $300,2014-08-12,2014-09-11,,0,,,,,Risk of Recidivism,1,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2014-08-12,2014-09-11,0,0,565,1,1 +8981,david dargan,david,dargan,2013-08-23,Male,1994-02-04,22,Less than 25,Caucasian,0,4,0,0,2,-36,2013-07-18 01:49:55,2013-07-18 09:07:41,13013659MM10A,2013-07-18,,36,M,Resist/Obstruct W/O Violence,1,15001632MM20A,(M1),34,2015-06-24,Petit Theft $100- $300,2015-07-28,2015-08-06,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,6,Medium,2013-08-23,2015-07-28,2015-08-06,2,0,670,1,1 +8983,deborah spoth,deborah,spoth,2013-05-10,Female,1961-04-18,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-09 10:15:50,2013-05-10 08:38:51,13008981MM10A,2013-05-09,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-10,Risk of Violence,1,Low,2013-05-10,2013-05-09,2013-05-10,0,0,1057,0,0 +8984,mario luis,mario,luis,2013-08-07,Male,1982-04-15,34,25 - 45,Hispanic,0,1,0,0,0,0,2013-08-07 12:09:52,2013-10-23 11:18:41,13014877MM10A,2013-08-06,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,2013-08-07,2013-10-23,0,77,968,0,0 +8988,jordan barr,jordan,barr,2013-10-15,Male,1995-07-20,20,Less than 25,African-American,0,2,0,2,1,-1,2013-10-14 05:43:48,2013-10-16 09:20:13,13014392CF10A,,2013-10-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-15,Risk of Violence,6,Medium,2013-10-15,2013-10-14,2013-10-16,1,1,899,0,0 +8989,terrence moody,terrence,moody,2013-03-28,Male,1994-03-16,22,Less than 25,African-American,0,7,0,0,1,-1,2013-03-27 01:26:31,2013-03-28 08:09:51,13005987MM10A,2013-03-27,,1,M,Resist/Obstruct W/O Violence,1,13048021TC10A,(M2),,2013-05-31,Leave Acc/Attend Veh/More $50,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-28,Risk of Violence,7,Medium,2013-03-28,2014-06-05,2020-01-01,1,0,64,1,1 +8991,dominique troutman,dominique,troutman,2014-07-06,Male,1987-02-09,29,25 - 45,African-American,0,9,4,1,15,227,2015-02-18 11:39:46,2015-08-24 01:02:23,14009227CF10A,2014-07-05,,1,F,Felony Battery w/Prior Convict,1,15002261CF10A,(M2),0,2015-02-18,Susp Drivers Lic 1st Offense,2015-02-18,2015-08-24,,1,15002261CF10A,(F2),2015-02-18,Agg Fleeing/Eluding High Speed,Risk of Recidivism,9,High,2014-07-06,Risk of Violence,7,Medium,2014-07-06,2015-02-18,2015-08-24,15,0,227,1,1 +8992,matthew bartlett,matthew,bartlett,2014-01-04,Male,1982-08-17,33,25 - 45,Caucasian,0,9,0,0,9,-1,2014-01-03 05:03:25,2014-02-21 05:47:14,14000122CF10A,2014-01-03,,1,F,Felony Petit Theft,1,14006519MM10A,(M1),0,2014-04-17,Resist/Obstruct W/O Violence,2014-04-17,2014-04-18,,0,,,,,Risk of Recidivism,9,High,2014-01-04,Risk of Violence,5,Medium,2014-01-04,2014-04-17,2014-04-18,9,48,103,1,1 +8995,timothy evans,timothy,evans,2013-02-23,Male,1960-06-03,55,Greater than 45,Caucasian,0,8,0,0,7,0,2013-02-23 03:21:11,2013-02-23 09:04:37,13002770CF10A,2013-02-23,,0,F,Felony DUI (level 3),0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-23,Risk of Violence,10,High,2013-02-23,2014-06-19,2014-07-07,7,0,481,0,0 +8996,bradley vaval,bradley,vaval,2013-03-06,Male,1993-07-23,22,Less than 25,African-American,0,6,0,0,1,-1,2013-03-05 09:14:57,2013-03-07 05:10:56,13003293CF10A,2013-03-05,,1,F,Fleeing or Eluding a LEO,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-06,Risk of Violence,8,High,2013-03-06,2013-04-22,2013-04-29,1,1,47,0,0 +8997,john kemp,john,kemp,2013-09-10,Male,1961-02-10,55,Greater than 45,African-American,0,1,0,0,1,-1,2013-09-09 04:06:52,2013-09-18 10:30:00,13010628CF10A,,2013-09-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-18,1,8,934,0,0 +8998,bridgette oberman,bridgette,oberman,2013-07-18,Female,1972-12-11,43,25 - 45,Caucasian,0,1,0,0,0,-2,2013-07-16 05:14:30,2013-07-17 11:55:22,13009978CF10A,2013-07-16,,2,F,Grand Theft in the 3rd Degree,1,15007224MU10A,(M1),0,2015-03-06,Driving Under The Influence,2015-03-06,2015-03-13,,0,,,,,Risk of Recidivism,1,Low,2013-07-18,Risk of Violence,1,Low,2013-07-18,2013-08-28,2013-09-04,0,0,41,0,1 +8999,lamonte dean,lamonte,dean,2013-03-15,Male,1994-11-09,21,Less than 25,African-American,0,10,0,3,0,-1,2013-03-14 07:22:45,2013-03-21 07:20:07,13003771CF10A,2013-03-14,,1,F,Pos Cannabis W/Intent Sel/Del,1,14001493MM10A,(M1),0,2014-01-27,Unlaw Use False Name/Identity,2014-01-27,2014-02-24,,1,15011755CF10A,(F3),2015-09-09,Robbery Sudd Snatch No Weapon,Risk of Recidivism,10,High,2013-03-15,Risk of Violence,9,High,2013-03-15,2014-01-27,2014-02-24,0,6,318,1,1 +9003,tony dees,tony,dees,2013-06-11,Male,1977-06-29,38,25 - 45,African-American,1,4,0,0,6,-52,2013-04-20 10:31:47,2013-06-11 11:15:31,13005653CF10A,,2013-04-20,52,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-11,Risk of Violence,3,Low,2013-06-11,2013-04-20,2013-06-11,6,0,1025,0,0 +9004,james goodwin,james,goodwin,2013-09-24,Male,1992-12-19,23,Less than 25,African-American,0,2,0,0,0,-1,2013-09-23 09:18:09,2013-09-24 08:49:29,13013399CF10A,,2013-09-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-24,Risk of Violence,4,Low,2013-09-24,2013-09-23,2013-09-24,0,0,920,0,0 +9005,carly grimes,carly,grimes,2013-08-07,Female,1988-01-09,28,25 - 45,Caucasian,0,5,0,0,1,-2,2013-08-05 10:26:37,2013-08-06 01:36:07,13010970CF10A,2013-08-05,,2,M,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-07,Risk of Violence,2,Low,2013-08-07,2013-08-05,2013-08-06,1,0,968,0,0 +9008,wilner joseph,wilner,joseph,2013-05-09,Male,1970-11-29,45,Greater than 45,Other,0,1,0,0,0,0,2013-05-09 01:46:12,2013-05-10 12:10:14,13006682CF10A,2013-05-08,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-09,Risk of Violence,1,Low,2013-05-09,2013-05-09,2013-05-10,0,1,1058,0,0 +9010,broderick lewis,broderick,lewis,2013-04-15,Male,1976-08-26,39,25 - 45,African-American,0,1,0,0,1,-1,2013-04-14 12:35:29,2013-04-28 04:07:31,13005381CF10A,2013-04-14,,1,F,Agg Battery Grt/Bod/Harm,1,15045856TC40A,(M2),,2015-08-06,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,2,Low,2013-04-15,2013-04-14,2013-04-28,1,13,843,1,0 +9012,lionel sacon,lionel,sacon,2013-07-29,Male,1936-08-28,79,Greater than 45,Caucasian,0,1,0,0,1,-22,2013-07-07 09:04:26,2013-07-08 12:17:21,13012898MM10A,2013-07-07,,22,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-07,2013-07-08,1,0,977,0,0 +9013,james bruschetti,james,bruschetti,2013-12-07,Male,1968-01-21,48,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-06 07:54:08,2013-12-07 01:25:17,13016908CF10A,2013-12-06,,1,F,Depriv LEO of Protect/Communic,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-07,Risk of Violence,1,Low,2013-12-07,2013-12-06,2013-12-07,1,0,846,0,0 +9017,helbert urrea,helbert,urrea,2013-09-24,Male,1995-07-08,20,Less than 25,Hispanic,0,8,2,1,2,-1,2013-09-23 04:49:47,2013-10-24 12:26:37,13013389CF10A,2013-09-23,,1,F,Burglary Conveyance Unoccup,1,14001490CF10A,(F2),0,2014-02-03,Grand Theft of the 2nd Degree,2014-02-03,2014-03-29,,0,,,,,Risk of Recidivism,8,High,2013-09-24,Risk of Violence,8,High,2013-09-24,2014-02-03,2014-03-29,2,30,132,1,1 +9018,samuel walker,samuel,walker,2013-01-12,Male,1985-02-19,31,25 - 45,African-American,1,8,0,0,5,-1,2013-01-11 01:37:56,2013-01-12 01:34:34,12052989TC10A,,2013-01-11,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,3,Low,2013-01-12,2014-07-17,2014-07-24,5,0,551,0,0 +9020,gabriel magnone,gabriel,magnone,2014-07-01,Male,1986-03-20,30,25 - 45,Caucasian,0,5,1,0,4,-3,2014-06-28 05:18:03,2014-06-29 01:11:47,14010034MM10A,2014-06-28,,3,M,Petit Theft $100- $300,1,14013453CF10A,(F3),143,2014-07-14,False Ownership Info/Pawn Item,2014-12-04,2014-12-17,,0,,,,,Risk of Recidivism,5,Medium,2014-07-01,Risk of Violence,2,Low,2014-07-01,2014-12-04,2014-12-17,4,0,13,1,1 +9022,randail spencer,randail,spencer,2013-11-20,Male,1984-02-07,32,25 - 45,African-American,0,4,0,0,5,-1,2013-11-19 08:47:31,2013-11-20 08:30:17,13016059CF10A,2013-11-19,,1,F,Driving While License Revoked,1,14009712TC10A,(M2),,2014-02-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-20,Risk of Violence,2,Low,2013-11-20,2014-07-26,2014-10-07,5,0,78,1,1 +9023,richard fleenor,richard,fleenor,2014-03-23,Male,1959-09-29,56,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-03-22 11:04:24,2014-03-26 09:44:27,14005017MM10A,2014-03-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-26,1,3,740,0,0 +9027,sessaly spencer,sessaly,spencer,2013-04-01,Female,1987-08-19,28,25 - 45,African-American,0,8,0,0,0,,,,,,,,M,,1,14000522MM40A,(M1),64,2014-01-14,Petit Theft $100- $300,2014-03-19,2014-03-27,,0,,,,,Risk of Recidivism,8,High,2013-04-01,Risk of Violence,3,Low,2013-04-01,2013-07-05,2013-07-09,0,0,95,0,1 +9028,jerome hill,jerome,hill,2013-08-19,Male,1973-01-14,43,25 - 45,African-American,0,1,0,0,2,-1,2013-08-18 05:31:33,2013-08-20 07:43:59,13015624MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-20,2,1,956,0,0 +9030,kevin sanchez,kevin,sanchez,2014-03-13,Male,1995-07-18,20,Less than 25,Hispanic,0,3,0,2,0,-1,2014-03-12 12:52:07,2014-03-13 04:07:39,14003531CF10A,2014-03-12,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,5,Medium,2014-03-13,2014-03-12,2014-03-13,0,0,750,0,0 +9031,latwan henderson,latwan,henderson,2014-12-12,Male,1989-03-02,27,25 - 45,African-American,0,7,0,0,21,0,2014-12-12 05:19:05,2015-01-16 05:53:47,14016494CF10A,2014-12-12,,0,F,Poss Pyrrolidinovalerophenone,1,15006177CF10A,(F1),0,2015-05-12,Sale/Del Cocaine Child Care Fac,2015-05-12,2015-10-01,,0,,,,,Risk of Recidivism,7,Medium,2014-12-12,Risk of Violence,3,Low,2014-12-12,2015-05-12,2015-10-01,21,35,151,1,1 +9032,darius wilborn,darius,wilborn,2013-08-08,Male,1974-12-18,41,25 - 45,African-American,0,6,0,0,0,-4,2013-08-04 03:15:07,2013-08-07 08:38:50,13014562MM10A,2013-08-04,,4,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-08,Risk of Violence,2,Low,2013-08-08,2014-01-21,2014-02-06,0,0,166,0,0 +9033,romero alexander,romero,alexander,2013-12-07,Male,1992-03-15,24,Less than 25,Other,0,3,0,0,1,-1,2013-12-06 03:59:45,2013-12-07 08:00:48,13016890CF10A,2013-12-06,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-07,Risk of Violence,3,Low,2013-12-07,2014-02-01,2014-02-02,1,0,56,0,0 +9034,allande pierre,allande,pierre,2014-10-07,Male,1972-12-23,43,25 - 45,African-American,0,1,0,0,3,-4,2014-10-03 02:03:27,2014-10-04 07:52:43,14035960TC10A,2014-10-03,,4,M,Operating W/O Valid License,1,15004185TC10A,(M2),0,2015-02-10,Susp Drivers Lic 1st Offense,2015-02-10,2015-02-12,,0,,,,,Risk of Recidivism,1,Low,2014-10-07,Risk of Violence,1,Low,2014-10-07,2015-02-10,2015-02-12,3,0,126,1,1 +9038,angel willis,angel,willis,2013-09-25,Female,1982-05-13,33,25 - 45,African-American,0,1,0,0,1,-1,2013-09-24 07:19:08,2013-09-25 07:32:07,13013425CF10A,,2013-09-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-25,Risk of Violence,1,Low,2013-09-25,2013-09-24,2013-09-25,1,0,919,0,0 +9039,curtis anderson,curtis,anderson,2014-02-05,Male,1993-07-30,22,Less than 25,African-American,0,3,0,0,0,-1,2014-02-04 01:35:10,2014-02-13 10:41:37,14001577CF10A,2014-02-04,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-05,Risk of Violence,4,Low,2014-02-05,2014-02-04,2014-02-13,0,8,786,0,0 +9040,corey parchment,corey,parchment,2014-01-22,Male,1982-03-10,34,25 - 45,African-American,0,1,0,0,3,-1,2014-01-21 06:38:50,2014-01-22 07:53:54,14000892CF10A,2014-01-21,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2014-01-21,2014-01-22,3,0,800,0,0 +9041,angel franco,angel,franco,2013-01-18,Male,1980-04-19,36,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-18 03:17:45,2013-01-18 08:51:56,13001296MM10A,2013-01-18,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-18,2013-01-18,0,0,1169,0,0 +9042,paul stephan,paul,stephan,2013-01-19,Male,1946-07-12,69,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-01-18 04:01:25,2013-01-19 01:25:00,13000862CF10A,2013-01-18,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-19,Risk of Violence,1,Low,2013-01-19,2013-01-18,2013-01-19,0,0,1168,0,0 +9043,derrick gorman,derrick,gorman,2013-02-22,Male,1983-06-21,32,25 - 45,Caucasian,0,5,0,0,5,-1,2013-02-21 03:26:24,2013-02-22 01:32:44,13002881CF10A,,2013-02-21,1,F,arrest case no charge,1,15007708CF10A,(F2),0,2015-06-13,Aggrav Battery w/Deadly Weapon,2015-06-13,2015-06-14,,1,15007708CF10A,(F2),2015-06-13,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,5,Medium,2013-02-22,Risk of Violence,4,Low,2013-02-22,2014-02-20,2014-02-25,5,0,363,0,1 +9044,shivaughn campbell,shivaughn,campbell,2014-03-21,Male,1993-09-23,22,Less than 25,African-American,0,7,0,0,1,0,2014-03-21 01:38:10,2014-03-21 02:39:59,14003969CF10A,2014-03-21,,0,F,Del Cannabis For Consideration,1,14025652TC10A,(M2),1,2014-07-15,Operating W/O Valid License,2014-07-16,2014-08-02,,0,,,,,Risk of Recidivism,7,Medium,2014-03-21,Risk of Violence,5,Medium,2014-03-21,2015-07-30,2015-09-06,1,0,116,1,1 +9045,corey smaglik,corey,smaglik,2013-12-10,Male,1969-08-19,46,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-12-09 06:27:49,2014-02-26 01:03:40,13017025CF10A,2013-12-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-10,Risk of Violence,2,Low,2013-12-10,2013-12-09,2014-02-26,0,78,843,0,0 +9046,ian wilhelm,ian,wilhelm,2014-02-24,Male,1981-11-13,34,25 - 45,Caucasian,0,5,0,0,1,-14,2014-02-10 02:20:42,2014-02-11 09:23:53,14002272MM10A,2014-02-09,,15,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-24,Risk of Violence,3,Low,2014-02-24,2014-02-10,2014-02-11,1,0,767,0,0 +9047,shane forshaw,shane,forshaw,2014-03-07,Female,1983-07-13,32,25 - 45,Hispanic,0,1,0,0,0,0,2014-03-07 07:10:24,2014-03-17 07:16:22,14003977MM10A,2014-03-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-07,Risk of Violence,1,Low,2014-03-07,2015-06-07,2015-06-19,0,10,457,0,0 +9049,frederick gallaway,frederick,gallaway,2013-01-28,Male,1976-09-22,39,25 - 45,African-American,0,1,0,0,0,-1,2013-01-27 10:35:20,2013-01-28 06:46:53,13001931MM10A,2013-01-27,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-28,0,0,1159,0,0 +9054,patrick moore,patrick,moore,2014-10-01,Male,1991-04-18,25,25 - 45,African-American,0,7,0,1,6,-1,2014-09-30 08:47:42,2014-10-02 08:08:10,14014375MM10A,2014-09-30,,1,M,Battery,1,15009562CF10A,(F2),0,2015-07-25,Aggrav Battery w/Deadly Weapon,2015-07-25,2015-08-31,,1,15009562CF10A,(F2),2015-07-25,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,7,Medium,2014-10-01,Risk of Violence,7,Medium,2014-10-01,2015-07-25,2015-08-31,6,1,297,1,1 +9055,melisa angel,melisa,angel,2013-05-06,Female,1994-11-09,21,Less than 25,Hispanic,0,4,0,1,0,-1,2013-05-05 11:13:22,2013-05-06 12:12:31,13008698MM10A,2013-05-05,,1,M,Battery,1,13000785MM30A,(M2),,2013-06-03,No Court Susp Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-06,Risk of Violence,6,Medium,2013-05-06,2013-05-05,2013-05-06,0,0,28,1,1 +9056,leroy farley,leroy,farley,2014-03-04,Male,1952-07-26,63,Greater than 45,African-American,0,6,0,0,9,0,2014-03-04 12:30:40,2014-03-06 09:46:42,14003016CF10A,2014-03-03,,1,F,Burglary Structure Unoccup,1,14006200CF10A,(F3),1,2014-05-02,Possession Burglary Tools,2014-05-03,2014-09-23,,0,,,,,Risk of Recidivism,6,Medium,2014-03-04,Risk of Violence,1,Low,2014-03-04,2014-03-04,2014-03-06,9,2,59,1,1 +9058,donovan walters,donovan,walters,2013-02-06,Male,1992-01-05,24,Less than 25,Caucasian,0,4,0,0,8,-1,2013-02-05 10:17:15,2013-02-06 07:20:44,13001792CF10A,2013-02-05,,1,F,Felony Battery (Dom Strang),1,14044497TC30A,(M2),100,2014-05-18,Susp Drivers Lic 1st Offense,2014-08-26,2014-08-27,,0,,,,,Risk of Recidivism,4,Low,2013-02-06,Risk of Violence,5,Medium,2013-02-06,2014-08-26,2014-08-27,8,0,466,1,1 +9060,joseph amico,joseph,amico,2013-07-26,Male,1987-01-14,29,25 - 45,Caucasian,0,5,0,0,2,-2,2013-07-24 10:54:34,2013-07-26 10:35:06,13010359CF10A,2013-07-24,,2,M,Fighting/Baiting Animals,1,15012587MM10A,(M1),1,2015-12-04,Trespass Other Struct/Convey,2015-12-05,2015-12-05,,0,,,,,Risk of Recidivism,5,Medium,2013-07-26,Risk of Violence,4,Low,2013-07-26,2013-11-04,2013-11-22,2,0,101,0,0 +9061,shanard roland,shanard,roland,2014-09-08,Male,1995-12-07,20,Less than 25,African-American,0,8,3,0,3,0,2014-09-08 04:39:05,2014-09-08 01:20:35,14012243CF10A,2014-09-08,,0,F,Possession of Cocaine,1,15003118CF10A,(F3),0,2015-03-07,Carrying Concealed Firearm,2015-03-07,2015-03-07,,0,,,,,Risk of Recidivism,8,High,2014-09-08,Risk of Violence,8,High,2014-09-08,2015-03-07,2015-03-07,3,0,180,0,1 +9062,april hood,april,hood,2014-02-17,Female,1976-04-08,40,25 - 45,Caucasian,0,5,0,0,0,-1,2014-02-16 09:48:15,2014-02-19 04:10:54,14002679MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-17,Risk of Violence,2,Low,2014-02-17,2014-02-16,2014-02-19,0,2,774,0,0 +9064,tyrel fairclough,tyrel,fairclough,2013-09-28,Male,1985-09-21,30,25 - 45,African-American,0,8,0,0,7,0,2013-09-28 02:18:26,2013-09-28 08:49:44,13013629CF10A,,2013-09-28,0,F,arrest case no charge,1,15000096CF10A,(M2),0,2015-01-03,Unlaw LicTag/Sticker Attach,2015-01-03,2015-07-29,,0,,,,,Risk of Recidivism,8,High,2013-09-28,Risk of Violence,4,Low,2013-09-28,2015-01-03,2015-07-29,7,0,462,1,1 +9067,jacob domkoski,jacob,domkoski,2013-01-29,Male,1979-11-30,36,25 - 45,Caucasian,0,5,0,0,10,54,2013-03-24 07:18:58,2013-03-31 06:00:20,13001602MO10A,2013-01-24,,5,M,Aggress/Panhandle/Beg/Solict,1,13004257CF10A,(F2),0,2013-03-24,Burglary Unoccupied Dwelling,2013-03-24,2013-03-31,,1,13009915MM10A,(M1),2013-05-23,Battery,Risk of Recidivism,5,Medium,2013-01-29,Risk of Violence,4,Low,2013-01-29,2013-03-24,2013-03-31,10,0,54,1,1 +9070,bruce sinert,bruce,sinert,2013-04-25,Male,1965-05-20,50,Greater than 45,Caucasian,0,7,0,0,5,-8,2013-04-17 10:39:20,2013-04-22 11:45:09,12018393CF10A,,2013-04-17,8,F,arrest case no charge,1,15013992CF10A,(F3),0,2015-10-27,Possession Of Methamphetamine,2015-10-27,2015-10-28,,0,,,,,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,1,Low,2013-04-25,2015-10-27,2015-10-28,5,0,915,1,0 +9072,james travis,james,travis,2014-11-01,Male,1979-03-22,37,25 - 45,African-American,0,7,0,0,4,-1,2014-10-31 09:52:44,2015-01-14 12:38:16,14015774MM10A,2014-10-31,,1,M,Criminal Mischief>$200<$1000,1,15005125CF10A,(M1),0,2015-04-19,Viol Injunct Domestic Violence,2015-04-19,2015-08-03,,1,15005125CF10A,(F3),2015-04-19,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2014-11-01,Risk of Violence,7,Medium,2014-11-01,2015-03-06,2015-03-24,4,74,125,0,1 +9074,wendell thomas,wendell,thomas,2013-02-24,Male,1982-04-03,34,25 - 45,African-American,0,7,0,0,1,0,2013-02-24 12:31:37,2013-02-24 09:00:27,13002807CF10A,2013-02-23,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-24,Risk of Violence,2,Low,2013-02-24,2014-07-11,2014-07-24,1,0,502,0,0 +9075,sussan cabrera,sussan,cabrera,2014-03-20,Female,1980-09-16,35,25 - 45,Hispanic,0,2,0,0,0,-1,2014-03-19 07:32:49,2014-03-20 11:57:04,14003908CF10A,2014-03-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-03-19,2014-03-20,0,0,743,0,0 +9076,shameka lowery,shameka,lowery,2013-01-09,Female,1984-09-23,31,25 - 45,African-American,0,2,0,0,1,-1,2013-01-08 07:24:10,2013-01-10 04:12:24,13000461MM10A,2013-01-08,,1,M,Battery,1,13021861MM10A,(M2),,2013-09-24,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2013-01-08,2013-01-10,1,1,258,1,1 +9077,joshua mercado,joshua,mercado,2013-01-12,Male,1992-06-18,23,Less than 25,Caucasian,0,7,0,1,10,-1,2013-01-11 01:35:04,2013-03-22 08:45:44,11020721CF10A,,2013-01-12,0,F,arrest case no charge,1,15006414CF10A,(F3),1,2015-05-16,Possession Of Alprazolam,2015-05-17,2015-05-17,,0,,,,,Risk of Recidivism,7,Medium,2013-01-12,Risk of Violence,6,Medium,2013-01-12,2013-01-11,2013-03-22,10,69,854,1,0 +9079,jerko delacruz,jerko,delacruz,2013-08-10,Male,1993-10-13,22,Less than 25,Hispanic,0,4,0,0,0,-1,2013-08-09 09:54:48,2013-09-11 04:32:52,13011188CF10A,2013-08-09,,1,F,Burglary Dwelling Assault/Batt,1,14017262MM10A,(M2),0,2014-12-08,Petit Theft,2014-12-08,2014-12-09,,0,,,,,Risk of Recidivism,4,Low,2013-08-10,Risk of Violence,5,Medium,2013-08-10,2014-12-08,2014-12-09,0,32,485,1,1 +9080,juan guevara,juan,guevara,2013-04-22,Male,1978-10-16,37,25 - 45,Caucasian,0,1,0,0,2,-1,2013-04-21 10:08:59,2013-04-26 08:11:17,12018452CF10A,,2013-04-21,1,F,arrest case no charge,1,13015631MM10A,(M1),0,2013-08-18,Possess Cannabis/20 Grams Or Less,2013-08-18,2013-08-19,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-08-18,2013-08-19,2,4,118,1,1 +9081,lansberth blackwood,lansberth,blackwood,2013-09-30,Male,1995-07-22,20,Less than 25,Other,0,4,0,0,0,-2,2013-09-28 08:34:56,2013-09-29 01:46:44,13013638CF10A,2013-09-28,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,7,Medium,2013-09-30,2014-07-24,2014-08-04,0,0,297,0,0 +9083,ed hughes,ed,hughes,2014-11-10,Male,1961-06-21,54,Greater than 45,African-American,0,7,0,0,22,83,2015-02-01 12:12:05,2015-02-02 01:55:31,14007163CF10A,2014-05-22,,172,F,Aggravated Assault W/Dead Weap,1,14001929MM30A,(M1),62,2014-12-01,Petit Theft $100- $300,2015-02-01,2015-02-02,,0,,,,,Risk of Recidivism,7,Medium,2014-11-10,Risk of Violence,3,Low,2014-11-10,2016-01-13,2016-04-06,22,0,21,1,1 +9085,joseph brock,joseph,brock,2013-03-26,Male,1989-10-20,26,25 - 45,Caucasian,0,5,0,0,2,-1,2013-03-25 11:41:47,2013-03-26 01:03:38,13004331CF10A,2013-03-25,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,2013-03-25,2013-03-26,2,0,1102,0,0 +9086,nicholas graham,nicholas,graham,2014-10-04,Male,1981-08-14,34,25 - 45,African-American,0,9,0,0,12,-1,2014-10-03 12:22:59,2014-10-15 10:01:50,14013356CF10A,2014-10-03,,1,F,Poss Pyrrolidinovalerophenone,1,15011459CF10A,(F3),0,2015-09-04,Grand Theft (Motor Vehicle),2015-09-04,2015-11-06,,0,,,,,Risk of Recidivism,9,High,2014-10-04,Risk of Violence,5,Medium,2014-10-04,2015-04-02,2015-04-03,12,11,180,0,1 +9087,robert grady,robert,grady,2014-11-13,Male,1956-07-06,59,Greater than 45,Caucasian,0,1,0,0,2,-15,2014-10-29 09:37:56,2014-10-30 08:26:47,14039923MU10A,2014-10-29,,15,M,DUI Level 0.15 Or Minor In Veh,1,15012872TC20A,(M2),,2015-02-09,Driving License Suspended,,,,1,15003782CF10A,(M1),2015-03-20,Agg Fleeing/Eluding High Speed,Risk of Recidivism,1,Low,2014-11-13,Risk of Violence,1,Low,2014-11-13,2014-12-10,2014-12-11,2,0,27,0,1 +9088,william rodman,william,rodman,2013-09-29,Male,1970-09-24,45,Greater than 45,Caucasian,0,2,0,0,2,,,,13013630CF10A,2013-09-28,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-29,Risk of Violence,1,Low,2013-09-29,,,2,0,915,0,0 +9089,michael preston,michael,preston,2013-08-16,Male,1978-07-08,37,25 - 45,Caucasian,0,2,0,0,2,-12,2013-08-04 08:19:11,2013-08-16 10:55:25,13014593MM10A,2013-08-04,,12,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-16,Risk of Violence,3,Low,2013-08-16,2013-09-19,2013-10-17,2,0,34,0,0 +9091,mark ribeiro,mark,ribeiro,2013-02-14,Male,1977-05-23,38,25 - 45,Other,0,1,0,0,0,-1,2013-02-13 09:32:19,2013-02-14 08:31:49,13002257CF10A,2013-02-13,,1,F,Felony Committing Prostitution,1,14003232MM40A,(M2),,2014-07-08,Prostitution/Lewd Act Assignation,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2013-02-13,2013-02-14,0,0,509,1,1 +9092,jesus roa,jesus,roa,2013-08-05,Male,1970-07-18,45,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-08-04 09:44:38,2013-08-09 11:23:01,13010834CF10A,2013-08-04,,1,F,Felony Battery (Dom Strang),1,14001282CF10A,(F3),0,2014-01-29,Possession of Cocaine,2014-01-29,2014-01-30,,0,,,,,Risk of Recidivism,1,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2014-01-29,2014-01-30,1,4,177,1,1 +9093,jerel dean,jerel,dean,2013-08-14,Male,1993-12-06,22,Less than 25,African-American,0,8,0,0,1,-1,2013-08-13 01:31:52,2013-09-18 11:56:57,13011361CF10A,2013-08-13,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-14,Risk of Violence,7,Medium,2013-08-14,2015-10-21,2015-11-06,1,35,798,0,0 +9094,mark simon,mark,simon,2013-03-30,Male,1991-08-06,24,Less than 25,African-American,0,8,0,1,3,26,2013-04-25 10:21:43,2013-05-30 12:22:18,13004544CF10A,2013-03-29,,1,F,Pos Cannabis W/Intent Sel/Del,1,13010623CF10A,(F3),,2013-04-16,Grand Theft In The 3Rd Degree,,,,0,,,,,Risk of Recidivism,8,High,2013-03-30,Risk of Violence,6,Medium,2013-03-30,2014-04-28,2014-06-20,3,0,17,1,1 +9096,janoi turner,janoi,turner,2013-01-28,Male,1990-08-20,25,25 - 45,African-American,0,5,0,0,5,-1,2013-01-27 10:18:53,2013-03-05 06:42:36,13001329CF10A,2013-01-27,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-28,Risk of Violence,7,Medium,2013-01-28,2013-03-05,2014-02-07,5,375,1159,0,0 +9097,terrance rogers,terrance,rogers,2014-03-13,Male,1991-09-01,24,Less than 25,African-American,0,6,0,0,6,-1,2014-03-12 06:10:43,2014-03-13 08:53:15,14003489CF10A,2014-03-12,,1,F,Uttering a Forged Instrument,1,14050547TC20A,(M2),116,2014-07-12,Operating W/O Valid License,2014-11-05,2015-04-22,,0,,,,,Risk of Recidivism,6,Medium,2014-03-13,Risk of Violence,6,Medium,2014-03-13,2015-08-20,2015-10-30,6,0,121,1,1 +9099,vanessa byrd,vanessa,byrd,2013-02-26,Female,1963-10-21,52,Greater than 45,African-American,0,3,0,0,3,,,,12003875MM10A,,2012-07-08,233,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-26,Risk of Violence,2,Low,2013-02-26,,,3,0,1130,0,0 +9102,patrick shirley,patrick,shirley,2013-11-08,Male,1995-05-26,20,Less than 25,African-American,0,4,0,0,1,-1,2013-11-07 01:46:22,2013-11-08 08:59:23,13021023MM10A,2013-11-07,,1,M,Battery,1,15010342MM10A,(M1),,2015-08-23,Battery,,,,1,15010342MM10A,(M1),2015-08-23,Battery,Risk of Recidivism,4,Low,2013-11-08,Risk of Violence,7,Medium,2013-11-08,2013-11-07,2013-11-08,1,0,653,1,1 +9104,alfonso glenn,alfonso,glenn,2014-02-06,Male,1983-12-29,32,25 - 45,African-American,0,6,0,0,6,,,,10020562CF10A,2010-11-21,,1173,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-06,Risk of Violence,7,Medium,2014-02-06,,,6,0,785,0,0 +9106,pedro melo,pedro,melo,2014-10-31,Female,1983-07-12,32,25 - 45,Caucasian,0,2,0,0,2,-1,2014-10-30 06:31:31,2014-10-31 06:18:06,14014591CF10A,2014-10-30,,1,F,Sell/Man/Del Pos/w/int Heroin,1,16000868CF10A,(F3),11,2016-01-10,Grand Theft in the 3rd Degree,2016-01-21,2016-01-22,,0,,,,,Risk of Recidivism,2,Low,2014-10-31,Risk of Violence,2,Low,2014-10-31,2016-02-01,2016-02-29,2,0,436,1,1 +9109,shane hall,shane,hall,2013-09-24,Male,1976-09-18,39,25 - 45,Caucasian,0,6,0,0,8,-75,2013-07-11 05:28:48,2013-07-31 10:30:00,11006386CF10A,,2013-07-11,75,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-24,Risk of Violence,4,Low,2013-09-24,2013-07-11,2013-07-31,8,0,920,0,0 +9110,james wilson,james,wilson,2014-11-04,Male,1966-12-30,49,Greater than 45,African-American,0,8,0,0,3,-1,2014-11-03 12:38:36,2014-11-04 10:13:42,14014753CF10A,2014-11-03,,1,F,Possession of Cocaine,1,15003186MM10A,(M1),0,2015-03-17,Resist/Obstruct W/O Violence,2015-03-17,2015-09-09,,0,,,,,Risk of Recidivism,8,High,2014-11-04,Risk of Violence,2,Low,2014-11-04,2014-12-19,2015-01-22,3,0,45,0,1 +9111,andrew thornton,andrew,thornton,2014-03-12,Male,1996-03-04,20,Less than 25,African-American,1,4,0,0,1,57,2014-05-08 12:32:56,2014-05-09 04:24:52,14002088CF10A,2013-11-15,,117,F,Attempted Robbery No Weapon,1,14007619MM10A,(M1),0,2014-05-08,Resist/Obstruct W/O Violence,2014-05-08,2014-05-09,,0,,,,,Risk of Recidivism,4,Low,2014-03-12,Risk of Violence,6,Medium,2014-03-12,2014-05-08,2014-05-09,1,0,57,1,1 +9112,jason mutrux,jason,mutrux,2014-11-18,Male,1985-01-13,31,25 - 45,Caucasian,0,7,0,0,11,-1,2014-11-17 05:24:37,2014-11-18 01:35:42,14015464CF10A,,2014-11-17,1,F,arrest case no charge,1,15000064MM20A,(M2),78,2014-12-09,Susp Drivers Lic 1st Offense,2015-02-25,2015-03-31,,0,,,,,Risk of Recidivism,7,Medium,2014-11-18,Risk of Violence,2,Low,2014-11-18,2015-12-02,2015-12-23,11,0,21,1,1 +9115,robert bochini,robert,bochini,2013-08-10,Male,1958-02-06,58,Greater than 45,Caucasian,0,7,0,0,7,-1,2013-08-09 12:52:57,2014-02-11 06:09:37,13011196CF10A,2013-08-09,,1,F,Possession of Cocaine,1,14006511MO10A,(M1),0,2014-04-17,Trespass After Warning,2014-04-17,2014-04-19,,0,,,,,Risk of Recidivism,7,Medium,2013-08-10,Risk of Violence,3,Low,2013-08-10,2014-04-17,2014-04-19,7,185,250,1,1 +9116,ramon matute,ramon,matute,2014-02-24,Male,1965-09-01,50,Greater than 45,Hispanic,0,1,0,0,2,0,2014-02-24 05:18:29,2014-02-25 04:40:49,14006971MU10A,2014-02-24,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-24,2014-02-25,2,1,767,0,0 +9119,jabaris gibson,jabaris,gibson,2014-02-23,Male,1989-09-23,26,25 - 45,African-American,0,7,1,1,11,-1,2014-02-22 04:00:04,2014-02-23 08:33:34,14002544CF10A,2014-02-22,,1,F,Tampering With Physical Evidence,1,14021626TC10A,(M1),0,2014-06-10,DWLS Habitual Offender 2nd,2014-06-10,2014-06-11,,0,,,,,Risk of Recidivism,7,Medium,2014-02-23,Risk of Violence,4,Low,2014-02-23,2014-06-10,2014-06-11,11,0,107,1,1 +9120,rodquez lovett,rodquez,lovett,2014-02-05,Male,1995-12-11,20,Less than 25,African-American,1,6,0,0,1,-20,2014-01-16 08:27:08,2014-01-19 02:09:26,13017967CF10A,,2014-01-16,20,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-05,Risk of Violence,8,High,2014-02-05,2014-01-16,2014-01-19,1,0,786,0,0 +9123,jason franco,jason,franco,2013-04-18,Male,1977-03-07,39,25 - 45,Caucasian,0,1,0,0,1,-48,2013-03-01 08:32:20,2013-03-02 06:12:32,13003111CF10A,2013-03-01,,48,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-03-01,2013-03-02,1,0,1079,0,0 +9125,nicanor durand,nicanor,durand,2013-08-09,Male,1964-09-05,51,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-08-08 04:57:26,2013-08-10 04:22:50,13014993MM10A,2013-08-08,,1,M,Battery,1,14000165MM10A,(M1),,2014-01-04,Battery,,,,1,14000165MM10A,(M1),2014-01-04,Battery,Risk of Recidivism,2,Low,2013-08-09,Risk of Violence,1,Low,2013-08-09,2013-08-08,2013-08-10,1,1,148,1,1 +9126,deangelo ash,deangelo,ash,2013-01-21,Male,1985-10-31,30,25 - 45,African-American,0,2,0,0,2,-1,2013-01-20 05:11:14,2013-02-07 09:31:29,13001381MM10A,2013-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-21,Risk of Violence,2,Low,2013-01-21,2013-04-08,2013-04-09,2,17,77,0,0 +9127,hussain hussain,hussain,hussain,2014-01-12,Male,1976-06-22,39,25 - 45,Other,0,1,0,0,0,-1,2014-01-11 05:27:12,2014-01-14 09:21:38,14000563MM10A,2014-01-11,,1,M,Battery,1,16000308MM30A,(M1),,2016-02-08,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-12,Risk of Violence,1,Low,2014-01-12,2014-01-11,2014-01-14,0,2,757,1,0 +9128,robert pellegrino,robert,pellegrino,2014-03-05,Male,1989-11-16,26,25 - 45,Caucasian,1,9,0,0,9,-84,2013-12-11 03:09:51,2014-01-30 10:51:56,09022790CF10A,,2013-12-11,84,F,arrest case no charge,1,14028596TC10A,(M2),0,2014-08-05,Fail Register Vehicle,2014-08-05,2014-10-14,,0,,,,,Risk of Recidivism,9,High,2014-03-05,Risk of Violence,9,High,2014-03-05,2014-08-05,2014-10-14,9,0,153,1,1 +9129,rennard robinson,rennard,robinson,2013-04-06,Male,1989-11-28,26,25 - 45,African-American,0,6,0,0,2,-1,2013-04-05 01:11:27,2013-05-08 08:21:55,13004922CF10A,2013-04-05,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-06,Risk of Violence,4,Low,2013-04-06,2013-04-05,2013-05-08,2,32,1091,0,0 +9130,marvin mcclam,marvin,mcclam,2014-01-14,Male,1981-01-18,35,25 - 45,African-American,1,9,0,0,13,-188,2013-07-10 01:58:45,2013-11-21 11:14:00,13009667CF10A,2013-07-10,,188,F,Burglary Unoccupied Dwelling,1,15002890CF10A,(F2),0,2015-03-03,Burglary Unoccupied Dwelling,2015-03-03,2015-08-18,,0,,,,,Risk of Recidivism,9,High,2014-01-14,Risk of Violence,5,Medium,2014-01-14,2015-03-03,2015-08-18,13,0,413,1,1 +9131,isacc exumat,isacc,exumat,2013-10-21,Male,1995-08-18,20,Less than 25,Other,0,5,0,0,0,-1,2013-10-20 10:25:19,2013-10-21 07:52:13,13019859MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-21,Risk of Violence,6,Medium,2013-10-21,2013-10-20,2013-10-21,0,0,893,0,0 +9132,lori giglio,lori,giglio,2014-01-27,Female,1964-11-19,51,Greater than 45,Caucasian,0,5,0,0,7,-157,2013-08-23 03:55:46,2014-01-16 10:30:00,13011879CF10A,2013-08-23,,157,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-27,Risk of Violence,2,Low,2014-01-27,2013-08-23,2014-01-16,7,0,795,0,0 +9133,stacy dimitrakis,stacy,dimitrakis,2013-02-25,Female,1989-09-12,26,25 - 45,Caucasian,0,5,0,0,0,-4,2013-02-21 11:28:11,2013-02-22 01:51:52,13002658CF10A,2013-02-21,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-25,Risk of Violence,4,Low,2013-02-25,2013-02-21,2013-02-22,0,0,1131,0,0 +9136,lawrence joseph,lawrence,joseph,2013-03-27,Male,1989-07-18,26,25 - 45,African-American,0,4,0,0,5,-1,2013-03-26 06:03:04,2013-03-29 04:56:00,13004389CF10A,2013-03-26,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-09-14,2013-09-14,5,2,171,0,0 +9143,matthew bonner,matthew,bonner,2013-12-06,Male,1995-11-01,20,Less than 25,Caucasian,0,2,0,2,0,-1,2013-12-05 11:38:15,2013-12-06 12:40:41,13016833CF10A,2013-12-05,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-06,Risk of Violence,6,Medium,2013-12-06,2013-12-05,2013-12-06,0,0,847,0,0 +9144,james bethea,james,bethea,2014-02-17,Male,1987-08-20,28,25 - 45,African-American,0,3,0,0,0,0,2014-02-17 01:46:34,2014-03-04 05:23:42,14002238CF10A,2014-02-17,,0,F,Criminal Mischief,1,14009075MM10A,(M1),0,2014-06-08,Battery,2014-06-08,2014-11-17,,1,14009075MM10A,(M1),2014-06-08,Battery,Risk of Recidivism,3,Low,2014-02-17,Risk of Violence,3,Low,2014-02-17,2014-06-08,2014-11-17,0,15,111,1,1 +9145,keith hanks,keith,hanks,2014-02-04,Male,1992-09-03,23,Less than 25,African-American,0,2,1,2,1,-1,2014-02-03 12:52:23,2014-02-04 08:12:03,14001883MM10A,2014-02-03,,1,M,Driving License Suspended,1,15002152MM40A,(M1),,2015-05-15,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-04,Risk of Violence,4,Low,2014-02-04,2014-02-03,2014-02-04,1,0,465,1,1 +9146,jasmine cureton,jasmine,cureton,2013-01-28,Female,1994-08-24,21,Less than 25,African-American,0,5,0,0,0,-4,2013-01-24 11:20:51,2013-01-25 02:16:47,13001720MM10A,2013-01-24,,4,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-28,Risk of Violence,7,Medium,2013-01-28,2013-11-01,2013-11-02,0,0,277,0,0 +9147,makendy demard,makendy,demard,2013-05-03,Male,1990-06-01,25,25 - 45,Other,0,9,0,0,0,-1,2013-05-02 05:54:12,2013-05-03 11:02:07,13006329CF10A,2013-05-02,,1,F,Possession of Cocaine,1,13010418CF10A,(F1),0,2013-07-25,Robbery Firearm Wearing Mask,2013-07-25,2014-10-16,,1,13010418CF10A,(F7),2013-07-25,Burglary Dwelling Armed,Risk of Recidivism,9,High,2013-05-03,Risk of Violence,8,High,2013-05-03,2013-07-25,2014-10-16,0,0,83,1,1 +9148,christopher landsgard,christopher,landsgard,2013-10-27,Male,1985-10-02,30,25 - 45,Caucasian,0,3,0,0,0,-1,2013-10-26 11:37:22,2013-10-28 07:52:36,13014963CF10A,2013-10-26,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-27,Risk of Violence,2,Low,2013-10-27,2013-10-26,2013-10-28,0,1,887,0,0 +9150,evan blake,evan,blake,2013-10-21,Male,1995-02-27,21,Less than 25,Caucasian,0,9,2,7,2,-3,2013-10-18 01:25:21,2013-10-18 08:21:29,13014568CF10A,2013-10-17,,4,F,Possession of LSD,1,15001555MO10A,(MO3),0,2015-02-06,Poss Of Controlled Substance,2015-02-06,2015-02-07,,1,15015322CF10A,(F2),2015-11-28,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-10-21,Risk of Violence,9,High,2013-10-21,2015-02-06,2015-02-07,2,0,473,1,1 +9155,anthony steffen,anthony,steffen,2013-12-13,Male,1996-03-07,20,Less than 25,Caucasian,1,7,0,0,1,13,2013-12-26 04:31:44,2014-02-04 08:08:13,13013572CF10A,,2013-09-27,77,F,arrest case no charge,1,14010555CF10A,(F3),0,2014-08-02,Grand Theft in the 3rd Degree,2014-08-02,2014-08-03,,0,,,,,Risk of Recidivism,7,Medium,2013-12-13,Risk of Violence,9,High,2013-12-13,2013-12-26,2014-02-04,1,0,13,0,1 +9156,austin wofford,austin,wofford,2013-09-23,Male,1992-01-03,24,Less than 25,Caucasian,0,6,0,0,5,16,2013-10-09 04:55:36,2013-10-28 02:19:21,10010012CF10A,,2012-05-07,504,F,arrest case no charge,1,13019185MM10A,(M1),0,2013-10-09,Possess Drug Paraphernalia,2013-10-09,2013-10-28,,0,,,,,Risk of Recidivism,6,Medium,2013-09-23,Risk of Violence,4,Low,2013-09-23,2013-10-09,2013-10-28,5,0,16,1,1 +9157,perry turner,perry,turner,2013-01-22,Male,1980-10-25,35,25 - 45,African-American,0,10,0,0,22,0,2013-01-22 04:07:47,2013-01-24 05:56:12,13001025CF10A,2013-01-22,,0,F,"Poss3,4 Methylenedioxymethcath",1,13021408TC10A,(M1),,2013-04-14,Opert With Susp DL 2nd Offens,,,,1,13023901MM10A,(M1),2013-12-28,Battery,Risk of Recidivism,10,High,2013-01-22,Risk of Violence,7,Medium,2013-01-22,2013-01-22,2013-01-24,22,2,82,1,1 +9158,kaleen beckford,kaleen,beckford,2014-04-13,Female,1989-02-11,27,25 - 45,Other,0,3,0,0,0,-1,2014-04-12 09:51:42,2014-04-15 02:39:20,14005138CF10A,2014-04-12,,1,F,Dealing in Stolen Property,1,14019677TC10A,(M2),0,2014-05-23,Unlaw LicTag/Sticker Attach,2014-05-23,2014-05-24,,0,,,,,Risk of Recidivism,3,Low,2014-04-13,Risk of Violence,3,Low,2014-04-13,2014-05-23,2014-05-24,0,2,40,1,1 +9159,kavin compton,kavin,compton,2013-01-09,Male,1966-01-12,50,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-01-08 03:16:14,2013-01-17 05:32:25,13000614CF10A,,2013-01-08,1,F,arrest case no charge,1,13002119CF10A,(M1),0,2013-02-11,Resist/Obstruct W/O Violence,2013-02-11,2014-03-03,,1,13002119CF10A,(F2),2013-02-11,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2013-02-11,2014-03-03,2,8,33,1,1 +9160,eddie mitchell,eddie,mitchell,2013-04-14,Male,1990-08-29,25,25 - 45,African-American,0,9,0,0,5,-1,2013-04-13 10:35:00,2013-04-15 04:04:55,13003834MM10A,,2013-04-13,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-14,Risk of Violence,9,High,2013-04-14,2013-09-13,2013-10-16,5,1,152,0,0 +9161,rosanne morgan,rosanne,morgan,2013-01-24,Female,1968-03-25,48,Greater than 45,Caucasian,0,9,0,0,1,,,,12012241CF10A,,2012-09-21,125,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-24,Risk of Violence,2,Low,2013-01-24,,,1,0,1163,0,0 +9163,nathan christie,nathan,christie,2013-03-23,Male,1984-12-15,31,25 - 45,African-American,1,8,1,1,12,-1,2013-03-22 10:04:53,2013-05-01 10:54:18,13005648MM10A,2013-03-22,,1,M,Resist/Obstruct W/O Violence,1,16011963TC40A,(M2),,2016-02-27,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-03-23,Risk of Violence,5,Medium,2013-03-23,2013-05-14,2013-06-04,12,39,52,0,1 +9165,eric mckenzie,eric,mckenzie,2013-08-26,Male,1990-03-15,26,25 - 45,African-American,0,9,0,0,0,-1,2013-08-25 07:42:30,2013-08-26 07:55:00,13012006CF10A,2013-08-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-26,Risk of Violence,10,High,2013-08-26,2013-10-23,2013-12-20,0,0,58,0,0 +9166,nicholas fleming,nicholas,fleming,2013-05-22,Male,1993-04-22,22,Less than 25,African-American,0,4,0,0,0,-1,2013-05-21 04:56:17,2013-05-22 07:40:50,13007235CF10A,2013-05-21,,1,F,Purchase/P/W/Int Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,5,Medium,2013-05-22,2013-05-21,2013-05-22,0,0,1045,0,0 +9167,willie way,willie,way,2013-12-22,Male,1986-07-15,29,25 - 45,African-American,0,3,0,0,0,0,2013-12-22 03:48:00,2013-12-22 08:17:21,13017641CF10A,2013-12-22,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-22,Risk of Violence,3,Low,2013-12-22,2013-12-22,2013-12-22,0,0,831,0,0 +9169,jean georges,jean,georges,2013-05-21,Male,1982-05-09,33,25 - 45,Other,0,1,0,0,2,0,2013-05-21 12:35:39,2013-05-22 02:58:54,13007192CF10A,2013-05-20,,1,F,Child Abuse,1,14004145TC10A,(M2),,2013-11-27,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-21,Risk of Violence,1,Low,2013-05-21,2013-05-21,2013-05-22,2,1,190,1,1 +9170,emanoil fanea,emanoil,fanea,2013-01-12,Male,1963-09-13,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-11 10:25:43,2013-01-12 01:20:11,13000523CF10A,2013-01-11,,1,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-12,Risk of Violence,1,Low,2013-01-12,2013-01-11,2013-01-12,1,0,1175,0,0 +9171,victor jiron,victor,jiron,2014-09-16,Male,1978-04-25,37,25 - 45,Hispanic,0,1,0,0,0,-1,2014-09-15 09:22:16,2014-09-16 09:04:51,14013718MM10A,2014-09-15,,1,M,Battery,1,15055080TC40A,(M2),,2015-09-18,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,1,Low,2014-09-16,Risk of Violence,1,Low,2014-09-16,2014-09-15,2014-09-16,0,0,367,1,1 +9172,lorenzo mckinney,lorenzo,mckinney,2013-10-29,Male,1994-06-17,21,Less than 25,African-American,0,7,0,0,0,-1,2013-10-28 10:17:17,2013-10-29 02:28:05,13015037CF10A,2013-10-28,,1,F,Possession of Cocaine,1,16000721CF10A,(F2),0,2016-01-18,Deliver Cocaine,2016-01-18,2016-01-26,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,7,Medium,2013-10-29,2016-01-18,2016-01-26,0,0,811,1,0 +9173,dalton lewis,dalton,lewis,2013-12-28,Male,1994-06-20,21,Less than 25,Caucasian,0,8,0,0,1,0,2013-12-28 02:53:59,2013-12-28 01:30:48,13017910CF10A,2013-12-27,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-28,Risk of Violence,6,Medium,2013-12-28,2013-12-28,2013-12-28,1,0,825,0,0 +9174,raven barry,raven,barry,2014-12-16,Female,1995-05-02,20,Less than 25,Caucasian,0,8,0,0,0,0,2014-12-16 02:14:07,2014-12-18 09:54:50,14016697CF10A,2014-12-16,,0,F,Fraudulent Use of Credit Card,1,15033223TC10A,(M2),0,2015-12-08,Operating W/O Valid License,2015-12-08,2015-12-16,,0,,,,,Risk of Recidivism,8,High,2014-12-16,Risk of Violence,5,Medium,2014-12-16,2015-12-08,2015-12-16,0,2,357,1,1 +9175,wilmer arteta,wilmer,arteta,2014-11-03,Male,1972-11-16,43,25 - 45,Hispanic,0,1,0,0,1,-1,2014-11-02 09:58:33,2014-11-03 08:59:17,14040293MU10A,2014-11-02,,1,M,Leaving Acc/Unattended Veh,1,15044118TC40A,(M2),,2015-07-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-11-03,Risk of Violence,1,Low,2014-11-03,2014-11-02,2014-11-03,1,0,256,1,1 +9176,daniel gonzalez,daniel,gonzalez,2014-02-25,Male,1985-06-10,30,25 - 45,Caucasian,0,1,0,0,1,-1,2014-02-24 06:45:36,2014-02-25 10:30:17,14002600CF10A,2014-02-24,,1,F,Grand Theft in the 3rd Degree,1,15008550TC20A,(M2),,2015-01-27,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-24,2014-02-25,1,0,336,1,1 +9178,aleshea king,aleshea,king,2013-02-09,Female,1983-04-05,33,25 - 45,African-American,0,4,0,0,3,0,2013-02-09 12:46:54,2013-02-14 09:32:10,13002865MM10A,2013-02-08,,1,M,Tresspass Struct/Conveyance,1,13005448MM10A,(M1),0,2013-03-19,Trespass After Warning,2013-03-19,2013-03-22,,0,,,,,Risk of Recidivism,4,Low,2013-02-09,Risk of Violence,2,Low,2013-02-09,2013-03-19,2013-03-22,3,5,38,1,1 +9180,michael leslie,michael,leslie,2013-09-22,Male,1991-07-14,24,Less than 25,African-American,0,7,0,0,3,0,2013-09-22 05:19:47,2013-12-24 10:49:05,13013342CF10A,2013-09-22,,0,F,Aggrav Stalking After Injunctn,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-22,Risk of Violence,6,Medium,2013-09-22,2013-09-22,2013-12-24,3,93,922,0,0 +9181,emma davis,emma,davis,2013-02-01,Female,1963-06-26,52,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-01-31 11:06:22,2013-02-01 09:42:04,13002257MM10A,2013-01-31,,1,M,Posses/Disply Susp/Revk/Frd DL,1,13013687TC20A,(M2),,2013-02-26,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-01,Risk of Violence,1,Low,2013-02-01,2013-01-31,2013-02-01,0,0,25,1,1 +9182,rebecca strowbridge,rebecca,strowbridge,2013-12-01,Female,1985-07-23,30,25 - 45,African-American,0,7,0,0,11,0,2013-12-01 06:16:04,2013-12-07 07:29:42,13016632CF10A,2013-12-01,,0,F,Crimin Mischief Damage $1000+,1,14004435MM10A,(M1),189,2014-02-03,Theft/To Deprive,2014-08-11,2014-08-27,,0,,,,,Risk of Recidivism,7,Medium,2013-12-01,Risk of Violence,3,Low,2013-12-01,2013-12-01,2013-12-07,11,6,64,1,1 +9183,doshan felix,doshan,felix,2013-05-15,Female,1985-06-22,30,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-14 09:22:05,2013-05-15 01:21:03,13009337MM10A,2013-05-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,2,Low,2013-05-15,2013-05-14,2013-05-15,0,0,1052,0,0 +9185,ricky williams,ricky,williams,2014-11-02,Male,1969-02-10,47,Greater than 45,African-American,0,2,0,0,13,0,2014-11-02 01:23:14,2014-11-02 09:19:17,14014691CF10A,2014-11-02,,0,F,Driving While License Revoked,1,15007244MM10A,(M1),0,2015-07-07,DWLS Suspend Cancel Revoked,2015-07-07,2015-07-25,,0,,,,,Risk of Recidivism,2,Low,2014-11-02,Risk of Violence,1,Low,2014-11-02,2015-07-07,2015-07-25,13,0,247,1,1 +9186,ernest ellison,ernest,ellison,2013-02-14,Male,1975-01-02,41,25 - 45,African-American,0,9,1,0,9,-1,2013-02-13 05:10:15,2013-02-15 05:30:02,11006631TC10A,2011-02-12,,733,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-14,Risk of Violence,6,Medium,2013-02-14,2013-02-13,2013-02-15,9,1,1142,0,0 +9187,luis flores,luis,flores,2013-09-28,Male,1994-09-04,21,Less than 25,Hispanic,1,10,0,0,4,-1,2013-09-27 07:57:09,2013-09-28 01:40:07,13013586CF10A,,2013-09-27,1,F,arrest case no charge,1,14008265CF10A,(F2),,2014-06-14,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-28,Risk of Violence,10,High,2013-09-28,2016-03-24,2020-01-01,4,0,259,1,1 +9188,ernesto panduro-rojas,ernesto,panduro-rojas,2013-01-18,Male,1962-10-26,53,Greater than 45,Hispanic,0,1,0,0,1,,,,12015942CF10A,2012-10-28,,82,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,,,1,0,1169,0,0 +9189,cletus day,cletus,day,2013-12-03,Male,1967-11-01,48,Greater than 45,Caucasian,0,2,0,0,6,-26,2013-11-07 12:05:05,2013-11-13 09:53:57,13017959CF10A,2013-11-06,,27,F,Fel Drive License Perm Revoke,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2014-01-25,2014-01-30,6,0,53,0,0 +9191,bernice mcrae,bernice,mcrae,2014-04-11,Male,1963-11-30,52,Greater than 45,African-American,0,9,0,0,2,-1,2014-04-10 04:35:30,2014-05-13 07:57:56,14004999CF10A,2014-04-10,,1,F,Possession of Cocaine,1,14009079CF10A,(M2),0,2014-07-02,Trespass Struct/Conveyance,2014-07-02,2015-08-13,,0,,,,,Risk of Recidivism,9,High,2014-04-11,Risk of Violence,3,Low,2014-04-11,2014-07-02,2015-08-13,2,32,82,1,1 +9192,kimberly ware,kimberly,ware,2013-02-18,Female,1982-03-17,34,25 - 45,African-American,0,1,0,0,1,-1,2013-02-17 07:32:38,2013-02-18 08:01:59,13003428MM10A,2013-02-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-18,Risk of Violence,1,Low,2013-02-18,2013-02-17,2013-02-18,1,0,1138,0,0 +9196,andrew carlson,andrew,carlson,2014-06-10,Male,1980-08-26,35,25 - 45,Caucasian,0,3,0,0,0,-1,2014-06-09 07:07:51,2014-06-10 09:49:21,14007974CF10A,2014-06-09,,1,F,Possession Of Methamphetamine,1,15005384CF10A,(F2),0,2015-04-24,Sell/Man/Del/Pos/W/Int Methado,2015-04-24,2015-06-22,,0,,,,,Risk of Recidivism,3,Low,2014-06-10,Risk of Violence,2,Low,2014-06-10,2015-01-07,2015-01-12,0,0,211,0,1 +9197,clevens desmandes,clevens,desmandes,2014-09-14,Male,1990-06-20,25,25 - 45,Other,0,4,0,0,1,-1,2014-09-13 10:33:59,2014-09-15 03:24:26,14012448CF10A,2014-09-13,,1,F,Pos Cannabis W/Intent Sel/Del,1,16000039CF10A,(F3),0,2016-01-01,,2016-01-01,2016-01-01,,0,,,,,Risk of Recidivism,4,Low,2014-09-14,Risk of Violence,3,Low,2014-09-14,2016-01-01,2016-01-01,1,1,474,0,1 +9200,dennis jackson,dennis,jackson,2013-12-23,Male,1977-04-01,39,25 - 45,Other,0,4,0,0,1,,,,10015308CF10A,,2012-10-11,438,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,2,Low,2013-12-23,,,1,0,830,0,0 +9201,donald jones,donald,jones,2014-08-06,Male,1992-01-25,24,Less than 25,African-American,0,2,0,1,1,-1,2014-08-05 08:19:29,2014-08-06 02:25:33,14010665CF10A,2014-08-05,,1,F,Pos Cannabis W/Intent Sel/Del,1,15005606MM10A,(M2),0,2015-05-22,Susp Drivers Lic 1st Offense,2015-05-22,2015-05-29,,0,,,,,Risk of Recidivism,2,Low,2014-08-06,Risk of Violence,3,Low,2014-08-06,2015-05-22,2015-05-29,1,0,289,1,1 +9202,tina house,tina,house,2013-01-30,Female,1967-06-11,48,Greater than 45,Caucasian,0,8,0,0,17,,,,08015791CF10A,,2008-08-20,1624,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-30,Risk of Violence,5,Medium,2013-01-30,2006-04-19,2007-04-20,17,0,1157,0,0 +9203,jose avila,jose,avila,2013-04-15,Male,1984-07-24,31,25 - 45,Hispanic,0,7,0,0,1,583,2014-11-19 10:24:10,2014-11-25 08:38:47,11015474CF10A,,2011-11-20,512,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-15,Risk of Violence,2,Low,2013-04-15,2014-11-19,2014-11-25,1,0,583,0,0 +9205,oswaldo lucas,oswaldo,lucas,2013-04-26,Male,1989-08-10,26,25 - 45,Hispanic,0,2,0,0,0,,,,,,,,M,,1,13005940CF10A,(F3),,2015-12-14,Neglect Child / No Bodily Harm,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,3,Low,2013-04-26,2013-04-26,2013-04-27,0,1,962,1,0 +9206,larrell barber,larrell,barber,2014-10-20,Male,1973-04-12,43,25 - 45,African-American,0,8,0,0,3,93,2015-01-21 06:40:58,2015-02-11 08:32:34,14002183CF10A,2014-02-15,,247,F,Possession of Cocaine,1,15000931CF10A,(F3),0,2015-01-21,Felony Petit Theft,2015-01-21,2015-02-11,,0,,,,,Risk of Recidivism,8,High,2014-10-20,Risk of Violence,3,Low,2014-10-20,2015-01-21,2015-02-11,3,0,93,1,1 +9207,albert hanna,albert,hanna,2013-12-18,Male,1991-03-16,25,25 - 45,African-American,0,2,0,0,1,0,2013-12-18 02:16:46,2013-12-18 08:23:35,13023416MM10A,2013-12-18,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-18,Risk of Violence,3,Low,2013-12-18,2013-12-18,2013-12-18,1,0,835,0,0 +9208,sugar maximes,sugar,maximes,2014-10-31,Male,1981-10-14,34,25 - 45,African-American,0,9,1,0,20,-1,2014-10-30 08:24:02,2014-11-26 03:56:23,14014572CF10A,2014-10-30,,1,F,Possession of Cocaine,1,15021981TC20A,(M2),0,2015-03-26,Operating W/O Valid License,2015-03-26,2015-06-12,,0,,,,,Risk of Recidivism,9,High,2014-10-31,Risk of Violence,5,Medium,2014-10-31,2015-03-26,2015-06-12,20,26,146,1,1 +9209,tavarus levine,tavarus,levine,2013-02-25,Male,1990-11-13,25,25 - 45,African-American,0,4,0,0,2,-1,2013-02-24 04:07:52,2013-02-25 02:08:18,13002827CF10A,2013-02-24,,1,F,Grand Theft Firearm,1,13031280TC40A,(M2),,2013-04-21,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-25,Risk of Violence,3,Low,2013-02-25,2013-09-21,2013-09-22,2,0,55,1,1 +9210,lester candelaria,lester,candelaria,2013-03-23,Male,1991-12-28,24,Less than 25,Hispanic,1,6,0,0,4,-1,2013-03-22 09:58:54,2013-03-23 07:46:12,13004164CF10A,2013-03-22,,1,F,"Poss3,4 Methylenedioxymethcath",1,13008664CF10A,(F3),1,2013-06-19,Crim Use of Personal ID Info,2013-06-20,2015-07-16,,0,,,,,Risk of Recidivism,6,Medium,2013-03-23,Risk of Violence,5,Medium,2013-03-23,2013-05-06,2013-05-07,4,0,44,0,1 +9212,richard spitler,richard,spitler,2013-05-08,Male,1959-06-08,56,Greater than 45,Caucasian,0,1,0,0,6,-1,2013-05-07 09:00:57,2013-05-08 06:44:34,13008020CF10A,2013-05-07,,1,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-08,Risk of Violence,1,Low,2013-05-08,2013-05-07,2013-05-08,6,0,1059,0,0 +9214,ryan greenwood,ryan,greenwood,2013-04-03,Male,1993-01-23,23,Less than 25,African-American,0,4,0,0,0,0,2013-04-03 02:54:54,2013-04-03 09:43:32,13004794CF10A,2013-04-02,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-03,Risk of Violence,5,Medium,2013-04-03,2013-04-03,2013-04-03,0,0,1094,0,0 +9215,christopher lopez,christopher,lopez,2014-01-09,Male,1995-01-02,21,Less than 25,Caucasian,0,4,0,0,0,-1,2014-01-08 10:11:04,2014-01-09 12:48:56,14000342CF10A,2014-01-08,,1,M,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-09,Risk of Violence,6,Medium,2014-01-09,2014-01-08,2014-01-09,0,0,813,0,0 +9216,dagobret schmalhaus,dagobret,schmalhaus,2013-08-19,Male,1949-12-21,66,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-18 08:34:53,2013-08-20 07:37:33,13015626MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-20,0,1,956,0,0 +9219,marcus albritton,marcus,albritton,2013-03-21,Male,1987-12-21,28,25 - 45,African-American,0,7,0,0,7,-1,2013-03-20 06:48:40,2013-03-21 01:37:15,13005471MM10A,2013-03-20,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-21,Risk of Violence,4,Low,2013-03-21,2013-07-31,2013-09-21,7,0,132,0,0 +9220,jonathan olazabal,jonathan,olazabal,2013-12-24,Male,1986-07-23,29,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-24 04:19:53,2013-12-24 01:22:49,13023712MM10A,2013-12-24,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-24,Risk of Violence,1,Low,2013-12-24,2013-12-24,2013-12-24,0,0,829,0,0 +9221,brandon jimenez,brandon,jimenez,2014-01-15,Male,1993-05-14,22,Less than 25,Caucasian,0,7,0,0,3,0,2014-01-15 02:46:58,2014-01-17 10:00:33,14000656CF10A,2014-01-14,,1,F,Possession of Cocaine,1,16001078CF10A,(F3),0,2016-01-26,,2016-01-26,2016-02-05,,0,,,,,Risk of Recidivism,7,Medium,2014-01-15,Risk of Violence,5,Medium,2014-01-15,2014-03-09,2014-03-19,3,2,53,0,1 +9224,martin espinoza,martin,espinoza,2014-01-06,Male,1977-02-27,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-05 05:46:37,2014-01-06 08:24:58,14000198CF10A,2014-01-05,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-05,2014-01-06,0,0,816,0,0 +9225,fritzi beauger,fritzi,beauger,2014-04-19,Male,1982-09-03,33,25 - 45,African-American,0,8,0,1,9,-1,2014-04-18 07:56:19,2014-04-19 08:57:19,14006553MM10A,2014-04-18,,1,M,Battery,1,14007895MM10A,(M1),0,2014-05-14,Tresspass in Struct/Convey Occupy,2014-05-14,2014-05-14,,0,,,,,Risk of Recidivism,8,High,2014-04-19,Risk of Violence,4,Low,2014-04-19,2014-05-14,2014-05-14,9,0,25,0,1 +9226,gerard spelman,gerard,spelman,2013-08-21,Male,1987-04-05,29,25 - 45,Caucasian,0,1,0,0,2,-1,2013-08-20 12:16:57,2013-08-21 07:52:14,13011702CF10A,,2013-08-20,1,F,arrest case no charge,1,13123237TC30A,(M2),,2013-11-30,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-21,Risk of Violence,3,Low,2013-08-21,2013-08-20,2013-08-21,2,0,101,1,1 +9227,jeremy pelehowski,jeremy,pelehowski,2013-03-28,Male,1985-03-24,31,25 - 45,Caucasian,0,2,0,0,1,-1,2013-03-27 02:03:43,2013-03-28 07:56:52,13003957CF10A,,2013-03-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-28,Risk of Violence,2,Low,2013-03-28,2013-03-27,2013-03-28,1,0,1100,0,0 +9229,jason olreidge,jason,olreidge,2013-02-17,Male,1994-03-08,22,Less than 25,African-American,0,8,0,0,0,-1,2013-02-16 11:06:26,2013-04-11 08:20:14,13003371MM10A,2013-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2013-02-16,2013-04-11,0,53,1139,0,0 +9230,shannon santamaria,shannon,santamaria,2013-10-25,Female,1993-10-14,22,Less than 25,Caucasian,0,5,0,0,0,-1,2013-10-24 03:53:21,2013-10-25 02:25:57,13020162MM10A,2013-10-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2013-10-24,2013-10-25,0,0,889,0,0 +9231,jassen lamparter,jassen,lamparter,2013-09-25,Male,1980-07-23,35,25 - 45,Caucasian,0,4,0,2,3,0,2013-09-25 01:21:21,2013-09-26 04:17:22,13013448CF10A,2013-09-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-25,Risk of Violence,1,Low,2013-09-25,2013-09-25,2013-09-26,3,1,919,0,0 +9232,christopher myers,christopher,myers,2014-02-08,Male,1987-04-12,29,25 - 45,Caucasian,0,4,0,0,3,-1,2014-02-07 04:26:22,2014-02-08 09:08:33,14001757CF10A,2014-02-07,,1,F,False Imprisonment,1,14011929MU10A,(M1),1,2014-03-25,Possess Drug Paraphernalia,2014-03-26,2014-03-27,,0,,,,,Risk of Recidivism,4,Low,2014-02-08,Risk of Violence,4,Low,2014-02-08,2014-04-17,2014-05-09,3,0,45,1,1 +9233,channel medina,channel,medina,2014-01-11,Female,1978-09-17,37,25 - 45,African-American,0,5,0,0,0,,,,14000479CF10A,2014-01-11,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-11,Risk of Violence,2,Low,2014-01-11,,,0,0,811,0,0 +9234,stephanie mclaurin,stephanie,mclaurin,2013-01-01,Female,1985-06-29,30,25 - 45,African-American,0,2,0,0,0,,,,13000005CF10A,2012-12-31,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-01,Risk of Violence,2,Low,2013-01-01,,,0,0,1186,0,0 +9235,fredrick grant,fredrick,grant,2013-01-18,Male,1960-03-06,56,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-17 10:28:39,2013-01-18 08:29:47,13004749CF10A,2013-01-17,,1,F,Felony/Driving Under Influence,1,15002735MM10A,(M1),0,2015-03-08,Battery,2015-03-08,2015-03-09,,1,15002735MM10A,(M1),2015-03-08,Battery,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2015-03-08,2015-03-09,1,0,779,1,0 +9238,zandra haywood,zandra,haywood,2014-01-26,Female,1981-12-20,34,25 - 45,African-American,0,1,0,0,0,-1,2014-01-25 09:03:48,2014-01-26 06:20:03,14001106CF10A,2014-01-25,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-26,Risk of Violence,1,Low,2014-01-26,2014-01-25,2014-01-26,0,0,796,0,0 +9239,steven strobridge,steven,strobridge,2014-02-14,Male,1992-08-21,23,Less than 25,African-American,0,4,0,0,1,-1,2014-02-13 08:55:13,2014-02-17 01:33:31,14002068CF10A,2014-02-13,,1,F,Grand Theft in the 3rd Degree,1,14002105MM20A,(M1),48,2014-07-16,Possess Cannabis/20 Grams Or Less,2014-09-02,2014-09-22,,0,,,,,Risk of Recidivism,4,Low,2014-02-14,Risk of Violence,5,Medium,2014-02-14,2014-02-13,2014-02-17,1,3,152,1,1 +9240,fredrick lewis,fredrick,lewis,2014-11-16,Male,1988-06-08,27,25 - 45,African-American,1,5,0,0,1,0,2014-11-16 12:33:35,2014-11-17 08:08:43,14015408CF10A,2014-11-15,,1,F,Grand Theft in the 3rd Degree,1,15060524TC40A,(M2),,2015-10-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2014-11-16,Risk of Violence,4,Low,2014-11-16,2014-11-16,2014-11-17,1,1,335,1,1 +9241,douglas schnoor,douglas,schnoor,2013-09-14,Male,1972-08-06,43,25 - 45,Caucasian,0,1,0,0,2,-1,2013-09-13 09:19:12,2013-09-14 07:13:34,13012955CF10A,,2013-09-13,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-14,Risk of Violence,1,Low,2013-09-14,2013-09-13,2013-09-14,2,0,930,0,0 +9242,paul bergeron,paul,bergeron,2013-01-08,Male,1977-08-19,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-07 10:25:39,2013-01-08 09:34:17,13000412CF10A,2013-01-07,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-08,Risk of Violence,1,Low,2013-01-08,2013-01-07,2013-01-08,0,0,1179,0,0 +9243,shaun spells,shaun,spells,2013-03-11,Male,1976-12-08,39,25 - 45,Caucasian,0,3,0,0,3,-1,2013-03-10 07:57:29,2013-03-11 03:27:21,13003533CF10A,2013-03-10,,1,F,Poss Wep Conv Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-11,Risk of Violence,6,Medium,2013-03-11,2013-03-10,2013-03-11,3,0,1117,0,0 +9244,walter black,walter,black,2014-09-14,Male,1992-04-01,24,Less than 25,African-American,0,3,0,1,1,-1,2014-09-13 10:26:43,2014-09-14 01:26:14,14012447CF10A,2014-09-13,,1,F,Pos Cannabis W/Intent Sel/Del,1,14003073MM20A,(M1),,2014-10-21,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2014-09-14,Risk of Violence,3,Low,2014-09-14,2015-08-13,2015-08-14,1,0,37,1,1 +9245,angelo armbrister,angelo,armbrister,2013-04-29,Male,1989-10-06,26,25 - 45,African-American,0,3,0,0,2,0,2013-04-29 12:50:46,2013-04-29 09:25:26,13008163MM10A,2013-04-29,,0,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,3,Low,2013-04-29,2013-04-29,2013-04-29,2,0,1068,0,0 +9246,kellie werba,kellie,werba,2014-01-24,Female,1960-11-25,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-23 09:15:43,2014-01-25 02:22:49,14001463MM10A,2014-01-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-23,2014-01-25,0,1,798,0,0 +9247,jamaal phillip,jamaal,phillip,2013-09-14,Male,1980-12-05,35,25 - 45,African-American,0,6,0,0,1,-1,2013-09-13 08:50:06,2013-09-14 07:04:11,13012951CF10A,2013-09-13,,1,F,Grand Theft in the 3rd Degree,1,14064655TC20A,(M2),,2014-09-11,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-14,Risk of Violence,2,Low,2013-09-14,2013-09-13,2013-09-14,1,0,362,1,1 +9248,anthony bass,anthony,bass,2013-03-26,Male,1954-05-08,61,Greater than 45,African-American,0,7,0,0,25,-1,2013-03-25 01:22:14,2013-03-26 07:28:22,13004315CF10A,2013-03-25,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,2013-03-25,2013-03-26,25,0,1102,0,0 +9249,willy jean,willy,jean,2013-03-12,Male,1982-09-22,33,25 - 45,Other,0,1,0,0,0,-1,2013-03-11 12:27:40,2013-03-22 09:48:08,13004872MM10A,2013-03-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,2,Low,2013-03-12,2013-03-11,2013-03-22,0,10,1116,0,0 +9253,scott lara,scott,lara,2013-09-27,Male,1976-03-30,40,25 - 45,Caucasian,0,7,0,0,4,0,2013-09-27 01:04:37,2013-09-28 04:31:01,13013615CF10A,2013-09-26,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-27,Risk of Violence,7,Medium,2013-09-27,2013-12-12,2013-12-25,4,1,76,0,0 +9254,michael kinsey,michael,kinsey,2013-04-11,Male,1982-06-24,33,25 - 45,African-American,0,2,0,0,3,0,2013-04-11 01:37:03,2013-04-11 07:46:59,13005195CF10A,2013-04-10,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-11,Risk of Violence,1,Low,2013-04-11,2013-04-11,2013-04-11,3,0,1086,0,0 +9255,mark follen,mark,follen,2014-11-07,Male,1989-08-30,26,25 - 45,Caucasian,0,6,0,0,0,-1,2014-11-06 06:10:20,2014-11-07 08:40:38,14014921CF10A,2014-11-06,,1,F,Tamper With Witness/Victim/CI,1,15012061CF10A,(F7),,2015-09-17,Burglary Dwelling Assault/Batt,,,,1,15012061CF10A,(F7),2015-09-17,Burglary Dwelling Assault/Batt,Risk of Recidivism,6,Medium,2014-11-07,Risk of Violence,4,Low,2014-11-07,2014-11-06,2014-11-07,0,0,314,1,1 +9256,david matos,david,matos,2014-02-03,Male,1984-01-18,32,25 - 45,Caucasian,0,9,1,0,15,0,2014-02-03 12:37:00,2014-05-05 11:08:06,14000254CF10A,,2014-02-02,1,F,arrest case no charge,1,14052181TC20A,(M2),,2014-07-19,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,9,High,2014-02-03,Risk of Violence,9,High,2014-02-03,2014-02-03,2014-05-05,15,91,166,1,1 +9257,rodney hudson,rodney,hudson,2014-02-11,Male,1987-12-04,28,25 - 45,African-American,0,2,0,0,0,-1,2014-02-10 04:55:34,2014-02-11 01:42:01,14001882CF10A,2014-02-10,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-11,Risk of Violence,3,Low,2014-02-11,2014-02-10,2014-02-11,0,0,780,0,0 +9258,miguel vegarivera,miguel,vegarivera,2013-01-05,Male,1971-02-15,45,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-04 05:56:18,2013-01-05 07:57:29,13000216MM10A,2013-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-05,Risk of Violence,1,Low,2013-01-05,2013-01-04,2013-01-05,0,0,1182,0,0 +9259,joshua stephens,joshua,stephens,2014-12-09,Male,1985-08-10,30,25 - 45,Caucasian,0,9,0,0,0,-1,2014-12-08 08:31:50,2015-01-14 10:55:38,14016303CF10A,2014-12-08,,1,F,Grand Theft in the 3rd Degree,1,15000688CF10A,(M1),0,2015-01-15,Resist/Obstruct W/O Violence,2015-01-15,2015-07-13,,0,,,,,Risk of Recidivism,9,High,2014-12-09,Risk of Violence,3,Low,2014-12-09,2015-01-15,2015-07-13,0,36,37,1,1 +9260,diane karm,diane,karm,2013-03-15,Female,1958-08-10,57,Greater than 45,Caucasian,0,2,0,0,4,-1,2013-03-14 11:21:16,2013-11-27 06:50:42,13003224CF10A,,2013-03-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2013-03-14,2013-11-27,4,257,1113,0,0 +9261,michael sydnor,michael,sydnor,2013-09-29,Male,1989-08-27,26,25 - 45,African-American,0,7,0,0,3,-1,2013-09-28 06:05:10,2013-11-14 08:19:34,13013621CF10A,2013-09-28,,1,F,Aggravated Battery / Pregnant,1,14007413MM10A,(M1),0,2014-05-05,Battery,2014-05-05,2015-01-02,,1,14007413MM10A,(M1),2014-05-05,Battery,Risk of Recidivism,7,Medium,2013-09-29,Risk of Violence,9,High,2013-09-29,2014-05-05,2015-01-02,3,46,218,1,1 +9262,jim beausejour,jim,beausejour,2013-09-06,Male,1981-03-06,35,25 - 45,African-American,0,8,0,0,1,-1,2013-09-05 12:59:53,2013-09-06 01:34:22,13012537CF10A,2013-09-05,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-05,2013-09-06,1,0,938,0,0 +9264,eusebio diaz acosta,eusebio,diaz acosta,2013-04-07,Male,1961-12-15,54,Greater than 45,Hispanic,0,1,0,0,0,0,2013-04-07 03:17:08,2013-04-09 07:14:08,13004979CF10A,2013-04-07,,0,F,Grand Theft in the 1st Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2013-04-07,2013-04-09,0,2,1090,0,0 +9266,amina wong-cooper,amina,wong-cooper,2014-02-26,Female,1986-06-28,29,25 - 45,African-American,0,5,0,0,0,-1,2014-02-25 10:19:07,2014-02-28 09:41:33,14002682CF10A,2014-02-25,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-26,Risk of Violence,4,Low,2014-02-26,2014-02-25,2014-02-28,0,2,765,0,0 +9267,michelle kastner,michelle,kastner,2013-12-19,Female,1975-05-22,40,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-18 07:23:28,2013-12-19 09:39:49,13023426MM10A,2013-12-18,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-19,Risk of Violence,1,Low,2013-12-19,2013-12-18,2013-12-19,0,0,834,0,0 +9268,ricky brazeal,ricky,brazeal,2013-01-16,Male,1987-06-29,28,25 - 45,Caucasian,0,2,0,0,1,-1,2013-01-15 01:11:23,2013-01-16 06:39:53,13000717CF10A,2013-01-15,,1,F,False Ownership Info/Pawn Item,1,13015755TC40A,(M2),,2013-02-20,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,3,Low,2013-01-16,2015-06-23,2016-02-09,1,0,35,1,1 +9269,ashley morant,ashley,morant,2013-05-11,Female,1990-09-10,25,25 - 45,African-American,0,2,0,1,0,-1,2013-05-10 09:11:37,2013-05-11 07:06:19,13009087MM10A,2013-05-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-11,Risk of Violence,2,Low,2013-05-11,2013-05-10,2013-05-11,0,0,1056,0,0 +9270,johnnie robinson,johnnie,robinson,2013-05-16,Male,1971-08-19,44,25 - 45,African-American,0,6,0,0,3,-1,2013-05-15 09:10:58,2013-05-18 05:34:59,13028152TC10A,2013-05-15,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-16,Risk of Violence,5,Medium,2013-05-16,2013-07-10,2013-12-10,3,2,55,0,0 +9271,tyrone hawthorne,tyrone,hawthorne,2013-05-02,Male,1968-02-28,48,Greater than 45,Caucasian,0,1,0,0,1,-31,2013-04-01 03:29:17,2013-04-01 08:56:51,13006254MM10A,2013-04-01,,31,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-02,Risk of Violence,1,Low,2013-05-02,2013-04-01,2013-04-01,1,0,1065,0,0 +9272,ellan laflamme,ellan,laflamme,2014-02-28,Female,1956-08-11,59,Greater than 45,Caucasian,0,1,0,0,1,-302,2013-05-02 04:55:58,2013-07-01 11:42:55,13006298CF10A,2013-05-02,,302,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-28,Risk of Violence,1,Low,2014-02-28,2013-05-02,2013-07-01,1,0,763,0,0 +9273,zachary perez,zachary,perez,2013-05-06,Male,1992-09-04,23,Less than 25,Caucasian,0,4,0,1,4,-1,2013-05-05 09:33:56,2013-05-06 08:00:17,13006435CF10A,2013-05-05,,1,F,Poss Similitude of Drivers Lic,1,14041157MU10A,(M2),1,2014-10-25,Lve/Scen/Acc/Veh/Prop/Damage,2014-10-26,2014-10-26,,0,,,,,Risk of Recidivism,4,Low,2013-05-06,Risk of Violence,4,Low,2013-05-06,2014-10-26,2014-10-26,4,0,537,1,1 +9275,johnson pierre,johnson,pierre,2013-10-19,Male,1986-06-12,29,25 - 45,African-American,0,2,0,0,0,-1,2013-10-18 10:11:46,2013-12-30 06:13:11,13014591CF10A,2013-10-18,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-19,Risk of Violence,2,Low,2013-10-19,2014-04-09,2014-04-17,0,72,172,0,0 +9276,leland mclaughlin,leland,mclaughlin,2013-08-19,Male,1960-01-15,56,Greater than 45,Caucasian,0,1,0,0,0,-4,2013-08-15 04:33:21,2013-08-15 09:09:29,13015481MM10A,2013-08-15,,4,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-15,2013-08-15,0,0,956,0,0 +9277,marcellie cabral,marcellie,cabral,2014-01-24,Female,1988-07-26,27,25 - 45,African-American,0,3,0,0,0,-1,2014-01-23 08:08:50,2014-01-24 10:07:59,14001280MM10A,2014-01-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-24,Risk of Violence,3,Low,2014-01-24,2014-01-23,2014-01-24,0,0,798,0,0 +9279,jerriann harris,jerriann,harris,2013-03-04,Female,1987-03-22,29,25 - 45,Caucasian,0,7,0,0,0,-1,2013-03-03 09:50:11,2013-03-04 08:09:45,13004894MM10A,2013-03-03,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-04,Risk of Violence,3,Low,2013-03-04,2013-03-03,2013-03-04,0,0,1124,0,0 +9280,rianna magee,rianna,magee,2013-11-12,Female,1981-10-01,34,25 - 45,Caucasian,0,4,0,0,4,-1,2013-11-11 07:15:49,2013-11-12 01:43:06,13021245MM10A,2013-11-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-12,Risk of Violence,2,Low,2013-11-12,2013-11-11,2013-11-12,4,0,871,0,0 +9282,samantha stsuria,samantha,stsuria,2013-01-15,Female,1994-01-07,22,Less than 25,African-American,0,7,0,0,0,0,2013-01-15 12:42:27,2013-01-15 02:11:49,13000637CF10A,2013-01-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,6,Medium,2013-01-15,2013-01-15,2013-01-15,0,0,1172,0,0 +9283,kevin gilmore,kevin,gilmore,2013-08-14,Male,1976-03-05,40,25 - 45,Caucasian,0,1,0,0,5,7,2013-08-21 12:30:21,2013-08-22 03:44:49,13009379CF10A,2013-07-03,,42,F,Possession of Hydromorphone,1,14039520TC40A,(M2),438,2014-06-06,Unlaw LicTag/Sticker Attach,2015-08-18,2015-08-26,,0,,,,,Risk of Recidivism,1,Low,2013-08-14,Risk of Violence,2,Low,2013-08-14,2013-08-21,2013-08-22,5,0,7,0,1 +9284,ulrike ballesteros,ulrike,ballesteros,2014-03-22,Male,1984-09-29,31,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-21 11:14:06,2014-03-24 04:48:24,14004005CF10A,2014-03-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-24,0,2,741,0,0 +9285,cynthia taylor,cynthia,taylor,2014-01-05,Male,1968-12-10,47,Greater than 45,African-American,0,2,0,0,3,-1,2014-01-04 11:28:11,2014-01-06 11:05:06,14000160CF10A,2014-01-04,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-05,Risk of Violence,1,Low,2014-01-05,2014-01-04,2014-01-06,3,1,817,0,0 +9287,darryl fuentes,darryl,fuentes,2013-08-19,Male,1991-12-07,24,Less than 25,African-American,0,7,0,0,8,-1,2013-08-18 07:10:12,2013-10-07 01:43:10,13011592CF10A,2013-08-18,,1,F,Possession of Cocaine,1,14010813CF10A,(F3),0,2014-08-08,Uttering a Forged Instrument,2014-08-08,2015-06-22,,0,,,,,Risk of Recidivism,7,Medium,2013-08-19,Risk of Violence,7,Medium,2013-08-19,2014-08-08,2015-06-22,8,49,354,1,1 +9288,savannah click,savannah,click,2013-09-23,Female,1995-05-25,20,Less than 25,Caucasian,0,4,0,0,1,-49,2013-08-05 12:08:50,2013-09-11 07:01:10,13010811CF10A,2013-08-04,,50,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,6,Medium,2013-09-23,2013-08-05,2013-09-11,1,0,921,0,0 +9292,stephen mcnair,stephen,mcnair,2013-08-10,Male,1976-08-31,39,25 - 45,African-American,0,9,0,0,4,-1,2013-08-09 07:48:19,2013-12-06 04:19:37,13011198CF10A,2013-08-09,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-10,Risk of Violence,5,Medium,2013-08-10,2013-08-09,2013-12-06,4,118,965,0,0 +9293,wesley rembert,wesley,rembert,2013-08-18,Male,1987-03-16,29,25 - 45,African-American,0,6,0,0,10,0,2013-08-18 12:03:54,2013-08-19 07:36:27,13011541CF10A,2013-08-17,,1,F,Driving While License Revoked,1,14007903CF10A,(F3),0,2014-06-07,Possession of Ethylone,2014-06-07,2014-06-08,,0,,,,,Risk of Recidivism,6,Medium,2013-08-18,Risk of Violence,6,Medium,2013-08-18,2014-06-07,2014-06-08,10,1,293,1,1 +9295,carlos hernandez,carlos,hernandez,2013-09-06,Male,1985-07-18,30,25 - 45,Hispanic,0,2,0,0,2,-1,2013-09-05 07:52:06,2013-09-11 08:03:44,13012540CF10A,2013-09-05,,1,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-06,Risk of Violence,2,Low,2013-09-06,2013-10-30,2013-11-06,2,5,54,0,0 +9296,amanda evans,amanda,evans,2014-10-25,Female,1989-08-31,26,25 - 45,African-American,0,9,0,0,4,-1,2014-10-24 11:09:09,2014-10-25 06:29:59,14014336CF10A,2014-10-24,,1,F,Grand Theft (Motor Vehicle),1,15001610MM20A,(M2),,2015-03-30,Petit Theft,,,,0,,,,,Risk of Recidivism,9,High,2014-10-25,Risk of Violence,7,Medium,2014-10-25,2015-02-19,2015-02-26,4,0,117,0,1 +9297,melvin thirsty,melvin,thirsty,2013-10-11,Male,1954-10-15,61,Greater than 45,African-American,0,8,0,0,2,0,2013-10-11 12:18:27,2013-10-12 05:32:14,13019317MM10A,2013-10-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-11,Risk of Violence,10,High,2013-10-11,2013-10-11,2013-10-12,2,1,903,0,0 +9298,jorge pena,jorge,pena,2013-10-18,Male,1978-10-19,37,25 - 45,Hispanic,0,4,0,0,3,0,2013-10-18 02:04:41,2013-10-18 07:46:06,13019718MM10A,2013-10-18,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-18,Risk of Violence,3,Low,2013-10-18,2013-10-18,2013-10-18,3,0,896,0,0 +9299,roger goindoo,roger,goindoo,2014-05-17,Male,1977-08-03,38,25 - 45,Other,0,1,0,0,1,-1,2014-05-16 05:12:16,2014-05-17 09:27:02,14006807CF10A,2014-05-16,,1,F,Possession Of Alprazolam,1,15008628MM10A,(M1),0,2015-08-15,Battery,2015-08-15,2015-09-10,,1,15008628MM10A,(M1),2015-08-15,Battery,Risk of Recidivism,1,Low,2014-05-17,Risk of Violence,1,Low,2014-05-17,2015-08-15,2015-09-10,1,0,455,1,1 +9300,miles vanzandt,miles,vanzandt,2013-01-31,Male,1991-12-17,24,Less than 25,Caucasian,0,5,0,0,2,176,2013-07-26 04:32:30,2013-09-13 08:44:14,12014345CF10A,,2012-12-09,53,F,arrest case no charge,1,13010472CF10A,(F3),0,2013-07-26,Possession Of Alprazolam,2013-07-26,2013-09-13,,0,,,,,Risk of Recidivism,5,Medium,2013-01-31,Risk of Violence,3,Low,2013-01-31,2013-07-26,2013-09-13,2,0,176,1,1 +9303,joseph mims,joseph,mims,2013-02-07,Male,1985-11-02,30,25 - 45,African-American,0,9,0,0,0,-1,2013-02-06 01:02:38,2013-02-07 07:22:44,13002696MM10A,2013-02-06,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-07,Risk of Violence,7,Medium,2013-02-07,2013-02-06,2013-02-07,0,0,1149,0,0 +9306,marquise knowles,marquise,knowles,2014-05-07,Male,1995-09-30,20,Less than 25,African-American,0,5,0,1,0,-1,2014-05-06 07:09:07,2014-05-07 06:15:42,14007475MM10A,2014-05-06,,1,M,Assault,1,15010213TC40A,(M2),122,2015-02-05,Operating W/O Valid License,2015-06-07,2015-06-08,,0,,,,,Risk of Recidivism,5,Medium,2014-05-07,Risk of Violence,6,Medium,2014-05-07,2015-06-07,2015-06-08,0,0,274,1,1 +9307,donald foster,donald,foster,2013-04-02,Male,1959-12-03,56,Greater than 45,African-American,0,9,0,0,22,-1,2013-04-01 11:17:56,2013-06-11 11:34:15,13004651CF10A,2013-04-01,,1,F,Possession of Cocaine,1,13009594CF10A,(F3),0,2013-07-09,Possession of Cocaine,2013-07-09,2013-11-26,,0,,,,,Risk of Recidivism,9,High,2013-04-02,Risk of Violence,5,Medium,2013-04-02,2013-07-09,2013-11-26,22,70,98,1,1 +9308,tammy green,tammy,green,2013-10-02,Female,1965-07-16,50,Greater than 45,Caucasian,0,3,0,0,3,0,2013-10-02 05:17:40,2013-10-02 08:17:15,13013838CF10A,2013-10-02,,0,F,Possession of Cocaine,1,14036220TC10A,(M2),,2014-09-15,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-02,2013-10-02,3,0,348,1,1 +9309,theova milfort,theova,milfort,2013-12-11,Male,1968-10-09,47,Greater than 45,Other,0,1,0,0,0,-1,2013-12-10 03:24:17,2013-12-12 03:36:20,13017101CF10A,2013-12-10,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2013-12-10,2013-12-12,0,1,842,0,0 +9310,scott stiefeld,scott,stiefeld,2014-03-26,Male,1959-04-27,56,Greater than 45,Caucasian,0,1,0,0,5,-238,2013-07-31 04:46:16,2014-03-26 10:20:35,13010717CF10A,2013-07-31,,238,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2013-07-31,2014-03-26,5,0,737,0,0 +9311,maria davila-alvarez,maria,davila-alvarez,2014-03-12,Female,1957-06-09,58,Greater than 45,Hispanic,0,5,0,0,1,-345,2013-04-01 07:04:46,2013-04-02 06:38:55,13004655CF10A,,2013-10-30,133,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-12,Risk of Violence,3,Low,2014-03-12,2013-04-01,2013-04-02,1,0,751,0,0 +9318,patrick morrison,patrick,morrison,2013-05-16,Male,1985-05-14,30,25 - 45,African-American,0,6,0,0,10,18,2013-06-03 04:48:39,2013-06-04 03:33:48,11019957CF10A,,2013-05-16,0,F,arrest case no charge,1,13010667MM10A,(M2),0,2013-06-03,Petit Theft,2013-06-03,2013-06-04,,0,,,,,Risk of Recidivism,6,Medium,2013-05-16,Risk of Violence,4,Low,2013-05-16,2013-06-03,2013-06-04,10,0,18,1,1 +9319,theodore mullins,theodore,mullins,2013-09-05,Male,1987-08-07,28,25 - 45,African-American,0,6,0,0,12,-69,2013-06-28 06:03:06,2013-07-04 05:28:18,13012417MM10A,,2013-09-04,1,M,arrest case no charge,1,14003870MM10A,(M1),,2013-12-31,Possess Cannabis/20 Grams Or Less,,,,1,14006415MM10A,(M1),2014-03-12,Battery,Risk of Recidivism,6,Medium,2013-09-05,Risk of Violence,5,Medium,2013-09-05,2015-03-09,2015-04-16,12,0,117,1,1 +9320,glasford prehay,glasford,prehay,2013-03-28,Male,1956-07-27,59,Greater than 45,African-American,0,1,0,0,1,-1,2013-03-27 09:14:17,2013-05-29 06:13:48,13005992MM10A,2013-03-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-05-29,1,62,1100,0,0 +9322,hakeem fulton,hakeem,fulton,2014-02-23,Male,1996-01-26,20,Less than 25,African-American,1,10,0,0,1,-1,2014-02-22 11:34:45,2014-08-28 12:48:53,14002530CF10A,2014-02-22,,1,F,"Poss3,4 Methylenedioxymethcath",1,14013845MM10A,(M1),0,2014-09-17,Resist/Obstruct W/O Violence,2014-09-17,2015-02-09,,0,,,,,Risk of Recidivism,10,High,2014-02-23,Risk of Violence,10,High,2014-02-23,2014-09-17,2015-02-09,1,186,206,1,1 +9323,randell williams,randell,williams,2013-09-23,Male,1993-01-04,23,Less than 25,Caucasian,0,9,1,0,4,-1,2013-09-22 01:06:45,2013-09-24 04:25:18,13018070MM10A,2013-09-22,,1,M,Assault,1,15004682MM10A,(M1),0,2015-04-24,Battery,2015-04-24,2015-04-27,,1,15004682MM10A,(M1),2015-04-24,Battery,Risk of Recidivism,9,High,2013-09-23,Risk of Violence,9,High,2013-09-23,2015-04-24,2015-04-27,4,1,578,1,1 +9324,christina benemerito,christina,benemerito,2014-10-03,Female,1988-02-04,28,25 - 45,Caucasian,0,6,0,0,2,-3,2014-09-30 06:37:13,2014-09-30 08:33:04,14013193CF10A,2014-09-30,,3,F,Possession of Cocaine,1,16001203MM10A,(M1),0,2016-02-06,Resist/Obstruct W/O Violence,2016-02-06,2016-02-19,,0,,,,,Risk of Recidivism,6,Medium,2014-10-03,Risk of Violence,2,Low,2014-10-03,2016-02-06,2016-02-19,2,0,491,1,1 +9325,daniel diaz,daniel,diaz,2013-01-20,Male,1966-04-05,50,Greater than 45,Hispanic,0,9,0,0,3,-1,2013-01-19 07:35:41,2013-02-22 06:46:01,13000894CF10A,2013-01-19,,1,F,Possession of Cocaine,1,13006375CF10A,(F3),0,2013-05-03,Tampering With Physical Evidence,2013-05-03,2013-06-03,,0,,,,,Risk of Recidivism,9,High,2013-01-20,Risk of Violence,4,Low,2013-01-20,2013-05-03,2013-06-03,3,33,103,1,1 +9326,kenneth edelen,kenneth,edelen,2014-03-09,Male,1980-11-09,35,25 - 45,Caucasian,0,5,0,0,3,0,2014-03-09 12:45:56,2014-03-10 09:22:31,14004062MM10A,2014-03-09,,0,M,Battery,1,14018144MM10A,(M2),,2014-11-20,Disorderly Intoxication,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-09,Risk of Violence,4,Low,2014-03-09,2014-03-09,2014-03-10,3,1,256,1,1 +9327,renet gabriel,renet,gabriel,2013-04-06,Male,1994-01-13,22,Less than 25,African-American,0,9,0,0,1,0,2013-04-06 02:15:39,2013-04-11 07:51:37,13004951CF10A,2013-04-05,,1,F,Pos Cannabis W/Intent Sel/Del,1,14006538MM10A,(M2),0,2014-04-18,Prowling/Loitering,2014-04-18,2014-05-16,,0,,,,,Risk of Recidivism,9,High,2013-04-06,Risk of Violence,7,Medium,2013-04-06,2013-06-20,2013-07-16,1,5,75,0,1 +9328,fanny pena,fanny,pena,2014-01-31,Female,1975-03-15,41,25 - 45,Hispanic,0,1,0,0,0,-1,2014-01-30 06:22:27,2014-01-31 10:00:17,14001373CF10A,2014-01-30,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2014-01-30,2014-01-31,0,0,791,0,0 +9332,miles kemp,miles,kemp,2013-09-11,Male,1994-04-12,22,Less than 25,African-American,0,7,0,0,0,-1,2013-09-10 08:06:30,2013-09-12 08:19:10,13012819CF10A,2013-09-10,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-11,Risk of Violence,7,Medium,2013-09-11,2014-11-25,2014-12-04,0,1,440,0,0 +9334,jerry holston,jerry,holston,2013-08-02,Male,1969-08-07,46,Greater than 45,African-American,0,6,0,0,3,-33,2013-06-30 01:42:29,2013-07-29 11:14:16,13012474MM10A,2013-06-30,,33,M,Battery,1,14006894MM10A,(M2),0,2014-04-24,Trespass Structure/Conveyance,2014-04-24,2014-04-25,,0,,,,,Risk of Recidivism,6,Medium,2013-08-02,Risk of Violence,7,Medium,2013-08-02,2013-09-20,2013-10-17,3,0,49,0,1 +9335,herbert johnson,herbert,johnson,2013-06-26,Male,1955-03-08,61,Greater than 45,African-American,0,2,0,0,8,-22,2013-06-04 07:23:25,2013-06-05 01:21:53,13007917CF10A,2013-06-04,,22,F,Possession of Cocaine,1,14010333CF10A,(F3),0,2014-07-29,Possession of Cocaine,2014-07-29,2014-09-16,,0,,,,,Risk of Recidivism,2,Low,2013-06-26,Risk of Violence,1,Low,2013-06-26,2014-07-29,2014-09-16,8,0,398,1,1 +9336,colin reddie,colin,reddie,2013-12-07,Male,1990-02-22,26,25 - 45,African-American,0,4,0,0,5,-1,2013-12-06 02:33:03,2013-12-07 01:40:08,13016912CF10A,2013-12-06,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-07,Risk of Violence,5,Medium,2013-12-07,2013-12-06,2013-12-07,5,0,846,0,0 +9337,gusdino zaren,gusdino,zaren,2014-02-07,Male,1971-09-07,44,25 - 45,Caucasian,0,5,0,0,1,0,2014-02-07 05:14:26,2014-02-09 01:53:51,14001756CF10A,2014-02-07,,0,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-07,Risk of Violence,2,Low,2014-02-07,2014-02-07,2014-02-09,1,2,784,0,0 +9338,norrissie howard,norrissie,howard,2014-03-01,Female,1981-10-07,34,25 - 45,African-American,0,1,0,0,0,-1,2014-02-28 07:07:16,2014-03-01 09:05:07,14003508MM10A,2014-02-28,,1,M,Battery,1,14016766MM10A,(M2),,2014-09-16,Criminal Mischief,,,,1,14016766MM10A,(M1),2014-09-16,Battery,Risk of Recidivism,1,Low,2014-03-01,Risk of Violence,1,Low,2014-03-01,2015-10-27,2015-10-28,0,0,199,1,1 +9339,william mulligan,william,mulligan,2013-01-01,Male,1986-10-25,29,25 - 45,Caucasian,0,2,0,0,1,3,2013-01-04 04:53:46,2013-01-05 04:30:35,13000013CF10A,2012-12-31,,1,F,Grand Theft in the 3rd Degree,1,13000349MM10A,(M2),1,2013-01-03,Unlaw LicTag/Sticker Attach,2013-01-04,2013-01-05,,0,,,,,Risk of Recidivism,2,Low,2013-01-01,Risk of Violence,2,Low,2013-01-01,2013-01-04,2013-01-05,1,0,2,1,1 +9341,mark alamo,mark,alamo,2014-02-07,Male,1995-06-08,20,Less than 25,Hispanic,0,10,0,0,1,34,2014-03-13 08:09:21,2014-03-14 03:46:00,13013142CF10A,,2013-10-22,108,F,arrest case no charge,1,14004413MM10A,(M2),0,2014-03-13,Operating W/O Valid License,2014-03-13,2014-03-14,,0,,,,,Risk of Recidivism,10,High,2014-02-07,Risk of Violence,8,High,2014-02-07,2014-03-13,2014-03-14,1,0,34,1,1 +9343,eclaire salomon,eclaire,salomon,2013-02-09,Male,1986-07-10,29,25 - 45,African-American,0,9,0,0,8,-1,2013-02-08 07:03:27,2013-02-13 09:34:57,13006354TC10A,2012-12-06,,65,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-09,Risk of Violence,4,Low,2013-02-09,2015-02-27,2015-02-27,8,4,748,0,0 +9344,ponda burnett,ponda,burnett,2013-09-12,Male,1967-12-14,48,Greater than 45,African-American,0,4,0,0,5,-1,2013-09-11 10:49:58,2013-09-12 08:29:25,13012839CF10A,2013-09-11,,1,F,Possession of Cocaine,1,13018903MM10A,(M1),0,2013-10-04,Misuse Of 911 Or E911 System,2013-10-04,2014-01-04,,0,,,,,Risk of Recidivism,4,Low,2013-09-12,Risk of Violence,3,Low,2013-09-12,2013-10-04,2014-01-04,5,0,22,1,1 +9346,mallory williams,mallory,williams,2013-11-01,Female,1984-07-06,31,25 - 45,African-American,0,6,0,0,0,-5,2013-10-27 06:08:06,2013-10-31 09:28:56,13020378MM10A,2013-10-27,,5,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-01,Risk of Violence,4,Low,2013-11-01,2013-10-27,2013-10-31,0,0,882,0,0 +9348,wesley fields,wesley,fields,2014-02-03,Male,1994-05-21,21,Less than 25,Caucasian,0,6,0,0,2,-10,2014-01-24 10:45:30,2014-01-25 02:10:25,14001079CF10A,,2014-01-24,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-03,Risk of Violence,5,Medium,2014-02-03,2014-01-24,2014-01-25,2,0,788,0,0 +9350,john gilhauley,john,gilhauley,2013-04-01,Male,1981-06-28,34,25 - 45,Caucasian,0,5,0,0,4,-1,2013-03-31 07:55:05,2013-04-01 03:57:54,13004629CF10A,2013-03-31,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-01,Risk of Violence,6,Medium,2013-04-01,2013-03-31,2013-04-01,4,0,1096,0,0 +9351,joe wallace,joe,wallace,2013-03-28,Male,1961-05-05,54,Greater than 45,African-American,0,6,0,0,21,-1,2013-03-27 09:35:33,2013-03-28 08:15:31,13004418CF10A,2013-03-27,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-03-28,21,0,1100,0,0 +9352,joey pierce,joey,pierce,2013-08-07,Male,1995-06-13,20,Less than 25,Caucasian,0,10,4,0,4,-1,2013-08-06 10:51:36,2013-08-07 08:37:58,13011017CF10A,2013-08-06,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-07,Risk of Violence,10,High,2013-08-07,2013-08-06,2013-08-07,4,0,968,0,0 +9353,james fox,james,fox,2014-07-04,Male,1984-08-03,31,25 - 45,Caucasian,0,3,0,0,1,-1,2014-07-03 10:01:59,2014-08-08 10:32:16,14009379CF10A,2014-07-03,,1,F,Stalking (Aggravated),1,14009443CF10A,(F3),,2014-07-08,Aggrav Stalking After Injunctn,,,,1,14015220CF10A,(F3),2014-11-01,Stalking (Aggravated),Risk of Recidivism,3,Low,2014-07-04,Risk of Violence,3,Low,2014-07-04,2014-07-03,2014-08-08,1,0,4,1,1 +9354,shayne maloney,shayne,maloney,2013-10-14,Male,1993-08-18,22,Less than 25,Caucasian,0,4,0,0,0,0,2013-10-14 04:47:15,2013-10-15 04:13:04,13019486MM10A,2013-10-14,,0,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-14,Risk of Violence,5,Medium,2013-10-14,2014-11-16,2014-11-25,0,1,398,0,0 +9357,dantonio frazier,dantonio,frazier,2014-03-23,Male,1979-10-26,36,25 - 45,African-American,0,4,0,0,6,-1,2014-03-22 09:43:58,2014-03-23 08:40:01,14005013MM10A,2014-03-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-23,6,0,740,0,0 +9358,john stanley,john,stanley,2014-06-05,Male,1981-07-31,34,25 - 45,African-American,3,7,1,0,9,-1,2014-06-04 09:44:20,2014-06-05 07:57:58,14007714CF10A,2014-06-04,,1,F,False Imprisonment,1,16001500CF10A,(M1),0,2016-02-04,Resist/Obstruct W/O Violence,2016-02-04,2016-02-05,,0,,,,,Risk of Recidivism,7,Medium,2014-06-05,Risk of Violence,6,Medium,2014-06-05,2014-07-09,2014-07-10,9,0,34,0,1 +9359,daniel rauer,daniel,rauer,2013-07-09,Male,1979-10-29,36,25 - 45,Caucasian,0,1,0,0,3,,,,13019145TC10A,2013-03-15,,116,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-09,Risk of Violence,2,Low,2013-07-09,,,3,0,997,0,0 +9363,demont thomas,demont,thomas,2014-07-09,Male,1984-03-04,32,25 - 45,African-American,0,8,0,0,3,,,,14009375CF10A,2014-07-08,,1,F,Possession of Cannabis,1,14009653CF10A,(F3),,2014-07-15,Driving While License Revoked,,,,0,,,,,Risk of Recidivism,8,High,2014-07-09,Risk of Violence,3,Low,2014-07-09,,,3,0,6,1,1 +9364,marcus beachem,marcus,beachem,2013-12-03,Male,1965-11-04,50,Greater than 45,African-American,0,8,0,0,15,-1,2013-12-02 07:48:03,2013-12-03 08:28:31,13022423MM10A,2013-12-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-03,Risk of Violence,4,Low,2013-12-03,2013-12-02,2013-12-03,15,0,850,0,0 +9365,angelo osceola,angelo,osceola,2014-05-12,Male,1968-11-05,47,Greater than 45,Native American,4,10,0,0,22,0,2014-05-12 02:28:05,2014-05-15 03:47:32,14006607CF10A,2014-05-12,,0,F,Possession of Cocaine,1,14007637CF10A,(M2),0,2014-06-02,Operating W/O Valid License,2014-06-02,2014-06-04,,0,,,,,Risk of Recidivism,10,High,2014-05-12,Risk of Violence,5,Medium,2014-05-12,2014-06-02,2014-06-04,22,3,21,1,1 +9366,mimmose nicolas,mimmose,nicolas,2013-05-10,Female,1966-11-12,49,Greater than 45,Other,0,1,0,0,0,-1,2013-05-09 09:53:21,2013-05-10 10:01:06,13008991MM10A,2013-05-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-10,Risk of Violence,1,Low,2013-05-10,2013-05-09,2013-05-10,0,0,1057,0,0 +9367,eniee austin,eniee,austin,2014-03-13,Female,1990-05-01,25,25 - 45,African-American,0,9,0,0,7,-102,2013-12-01 06:20:27,2014-03-06 10:15:39,13016616CF10A,2013-12-01,,102,F,Felony Battery w/Prior Convict,1,15001024CF10A,(F3),,2014-11-07,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,9,High,2014-03-13,Risk of Violence,10,High,2014-03-13,2015-11-20,2015-12-18,7,0,239,1,1 +9369,timothy bedford,timothy,bedford,2014-01-05,Male,1985-01-15,31,25 - 45,African-American,0,4,0,0,1,-1,2014-01-04 07:13:06,2014-01-05 08:45:51,13012809TC10A,2012-10-18,,444,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-05,Risk of Violence,2,Low,2014-01-05,2014-01-04,2014-01-05,1,0,817,0,0 +9370,kevin nunnery,kevin,nunnery,2013-04-24,Male,1967-01-28,49,Greater than 45,African-American,0,3,0,0,10,-1,2013-04-23 12:27:58,2013-05-03 08:40:04,13005798CF10A,2013-04-23,,1,F,Grand Theft in the 3rd Degree,1,13011151CF10A,(F3),0,2013-08-08,Possession of Cocaine,2013-08-08,2014-05-20,,0,,,,,Risk of Recidivism,3,Low,2013-04-24,Risk of Violence,2,Low,2013-04-24,2013-08-08,2014-05-20,10,9,106,1,1 +9372,leonard pell,leonard,pell,2013-08-28,Male,1995-03-16,21,Less than 25,African-American,1,9,0,1,2,-1,2013-08-27 05:04:38,2013-10-02 09:14:39,13004338CF10A,,2013-08-28,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-28,Risk of Violence,9,High,2013-08-28,2013-08-27,2013-10-02,2,35,947,0,0 +9375,nicole lewis,nicole,lewis,2014-03-20,Female,1989-12-29,26,25 - 45,African-American,0,7,0,0,5,-1,2014-03-19 04:37:45,2014-03-20 10:04:33,14003902CF10A,2014-03-19,,1,F,Uttering a Forged Instrument,1,15015457TC30A,(M1),,2015-02-25,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-20,Risk of Violence,5,Medium,2014-03-20,2014-03-19,2014-03-20,5,0,342,1,1 +9376,westley mohammed,westley,mohammed,2013-11-12,Male,1986-12-09,29,25 - 45,Other,0,2,0,0,0,-1,2013-11-11 02:32:59,2013-11-12 08:34:16,13015696CF10A,2013-11-11,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-12,Risk of Violence,3,Low,2013-11-12,2013-11-11,2013-11-12,0,0,871,0,0 +9377,andres power,andres,power,2013-01-06,Male,1955-01-13,61,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-01-05 11:02:01,2013-01-06 01:15:02,13000207CF10A,,2013-01-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2013-01-05,2013-01-06,0,0,1181,0,0 +9378,mindy morris,mindy,morris,2014-01-15,Female,1990-08-06,25,25 - 45,Caucasian,0,9,0,0,2,16,2014-01-31 12:17:38,2014-02-01 09:34:23,13016686CF10A,2013-12-02,,44,F,Crim Use of Personal ID Info,1,14005763CF10A,(M1),0,2014-04-25,Resist/Obstruct W/O Violence,2014-04-25,2014-05-02,,1,14016017MM10A,(M1),2014-11-06,Battery,Risk of Recidivism,9,High,2014-01-15,Risk of Violence,7,Medium,2014-01-15,2014-01-31,2014-02-01,2,0,16,0,1 +9379,anisa kumar,anisa,kumar,2014-01-13,Female,1989-09-30,26,25 - 45,Other,0,2,0,0,1,-31,2013-12-13 11:08:32,2013-12-14 01:47:43,13017267CF10A,2013-12-13,,31,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-13,Risk of Violence,2,Low,2014-01-13,2013-12-13,2013-12-14,1,0,809,0,0 +9380,andy cruz,andy,cruz,2013-12-13,Male,1978-02-05,38,25 - 45,Caucasian,0,4,0,0,5,-1,2013-12-12 06:13:20,2013-12-13 08:38:01,13017206CF10A,2013-12-12,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-13,Risk of Violence,1,Low,2013-12-13,2013-12-12,2013-12-13,5,0,840,0,0 +9381,justin armstrong,justin,armstrong,2013-12-09,Male,1981-02-18,35,25 - 45,Caucasian,0,1,0,0,2,-1,2013-12-08 06:16:15,2013-12-09 01:38:42,13022700MM10A,2013-12-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,2,Low,2013-12-09,2013-12-08,2013-12-09,2,0,844,0,0 +9383,jeffrey fulton,jeffrey,fulton,2013-09-19,Male,1966-02-12,50,Greater than 45,African-American,0,5,0,0,10,-48,2013-08-02 12:44:24,2013-09-19 12:07:26,11016558CF10A,,2013-08-02,48,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-19,Risk of Violence,2,Low,2013-09-19,2014-03-17,2014-03-21,10,0,179,0,0 +9385,wilfred bryan,wilfred,bryan,2013-02-21,Male,1960-08-19,55,Greater than 45,Other,0,1,0,0,8,-1,2013-02-20 08:27:19,2013-02-26 11:12:50,13002611CF10A,2013-02-20,,1,F,Uttering Worthless Check +$150,1,13011810CF10A,(M2),0,2013-08-22,Expired Tag/ Reg>6 Months 2nd,2013-08-22,2013-08-23,,0,,,,,Risk of Recidivism,1,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-08-22,2013-08-23,8,5,182,1,1 +9386,leroy tyler,leroy,tyler,2014-10-21,Male,1983-04-20,32,25 - 45,African-American,0,4,0,0,4,0,2014-10-21 12:04:06,2014-12-05 11:33:35,14015510CF10A,2014-10-20,,1,F,Felony Battery w/Prior Convict,1,15019182TC10A,(M2),0,2015-06-30,Susp Drivers Lic 1st Offense,2015-06-30,2015-07-18,,0,,,,,Risk of Recidivism,4,Low,2014-10-21,Risk of Violence,2,Low,2014-10-21,2015-06-30,2015-07-18,4,45,252,1,1 +9387,abel fernandez,abel,fernandez,2014-01-28,Male,1986-09-17,29,25 - 45,Caucasian,0,2,0,0,1,-18,2014-01-10 09:37:11,2014-01-13 07:58:10,11008191CF10A,,2014-01-10,18,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-28,Risk of Violence,3,Low,2014-01-28,2014-01-10,2014-01-13,1,0,794,0,0 +9388,jailton sousa,jailton,sousa,2014-01-21,Male,1969-09-14,46,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-21 04:33:26,2014-01-21 08:51:18,14000873CF10A,2014-01-21,,0,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-01-21,2014-01-21,0,0,801,0,0 +9392,paul kitchen,paul,kitchen,2013-01-22,Male,1962-07-03,53,Greater than 45,Caucasian,0,5,0,0,1,-1,2013-01-21 11:09:46,2013-01-22 08:54:01,13001443MM10A,2013-01-21,,1,M,Battery,1,15004095CF10A,(F3),1,2015-03-27,Felony Battery (Dom Strang),2015-03-28,2015-03-30,,1,15004095CF10A,(F3),2015-03-27,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2013-01-22,Risk of Violence,5,Medium,2013-01-22,2015-03-28,2015-03-30,1,0,794,1,0 +9393,samantha feliciano,samantha,feliciano,2014-09-29,Female,1989-01-04,27,25 - 45,Caucasian,0,5,0,0,1,-1,2014-09-28 11:52:36,2014-10-24 01:15:25,14005473CF10A,,2014-09-29,0,F,arrest case no charge,1,15001621MM30A,(M1),170,2015-09-19,Battery,2016-03-07,2016-03-08,,1,15001621MM30A,(M1),2015-09-19,Battery,Risk of Recidivism,5,Medium,2014-09-29,Risk of Violence,5,Medium,2014-09-29,2014-09-28,2014-10-24,1,25,355,1,1 +9394,daniel weisberger,daniel,weisberger,2013-01-25,Male,1986-07-15,29,25 - 45,Caucasian,0,8,0,0,4,-2,2013-01-23 09:48:25,2013-01-24 02:08:07,13001078CF10A,2013-01-23,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-25,Risk of Violence,7,Medium,2013-01-25,2013-01-23,2013-01-24,4,0,1162,0,0 +9397,bernard miller,bernard,miller,2013-10-20,Male,1989-12-13,26,25 - 45,Other,0,1,0,0,0,-1,2013-10-19 02:44:06,2013-10-21 08:05:00,13014652CF10A,2013-10-19,,1,F,Burglary Unoccupied Dwelling,1,14045103TC10A,(M2),0,2014-12-18,Susp Drivers Lic 1st Offense,2014-12-18,2015-01-06,,0,,,,,Risk of Recidivism,1,Low,2013-10-20,Risk of Violence,2,Low,2013-10-20,2014-12-18,2015-01-06,0,1,424,1,1 +9398,michael green,michael,green,2013-03-07,Male,1992-05-17,23,Less than 25,African-American,0,2,0,0,3,-1,2013-03-06 09:22:35,2013-03-07 06:14:09,13004542MM10A,2013-03-06,,1,M,Battery,1,13057325TC30A,(M2),,2013-06-05,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-07,Risk of Violence,3,Low,2013-03-07,2016-02-23,2016-02-23,3,0,90,1,1 +9399,jorge martinez,jorge,martinez,2013-09-23,Male,1972-07-03,43,25 - 45,Hispanic,0,3,0,0,3,21,2013-10-14 03:09:48,2013-10-16 09:20:39,13015962MM10A,2013-08-21,,33,M,Battery,1,14014564TC10A,(M1),1,2014-04-01,Opert With Susp DL 2nd Offens,2014-04-02,2014-04-21,,0,,,,,Risk of Recidivism,3,Low,2013-09-23,Risk of Violence,2,Low,2013-09-23,2013-10-14,2013-10-16,3,0,21,0,1 +9401,kenneth sabino,kenneth,sabino,2013-10-18,Male,1991-04-22,24,Less than 25,Caucasian,0,2,0,0,1,-1,2013-10-17 07:15:44,2013-10-18 08:16:42,13019708MM10A,2013-10-17,,1,M,Battery,1,15075250TC30A,(M2),,2015-11-11,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-18,Risk of Violence,3,Low,2013-10-18,2013-10-17,2013-10-18,1,0,754,1,0 +9402,altero lawrence,altero,lawrence,2014-02-18,Male,1983-02-08,33,25 - 45,African-American,0,10,0,0,18,0,2014-02-18 03:39:40,2014-02-19 07:33:32,14002292CF10A,2014-02-18,,0,F,Grand Theft (Motor Vehicle),1,14003320CF10A,(F3),,2014-03-09,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,10,High,2014-02-18,Risk of Violence,9,High,2014-02-18,2014-02-18,2014-02-19,18,1,19,1,1 +9404,roger cooper,roger,cooper,2014-12-02,Male,1983-12-04,32,25 - 45,African-American,0,6,0,0,1,-1,2014-12-01 11:57:48,2014-12-23 09:13:18,14017009MM10A,2014-12-01,,1,M,Assault,1,15004773MM10A,(M1),0,2015-03-29,Viol Injunct Domestic Violence,2015-03-29,2015-09-02,,0,,,,,Risk of Recidivism,6,Medium,2014-12-02,Risk of Violence,3,Low,2014-12-02,2015-03-29,2015-09-02,1,21,117,1,1 +9405,marie exume,marie,exume,2013-01-19,Female,1977-07-26,38,25 - 45,African-American,0,10,0,0,7,0,2013-01-19 03:02:43,2013-02-27 08:02:50,13000901CF10A,2013-01-18,,1,F,Grand Theft in the 3rd Degree,1,14009090CF10A,(F3),0,2014-07-02,Felony Petit Theft,2014-07-02,2014-07-04,,0,,,,,Risk of Recidivism,10,High,2013-01-19,Risk of Violence,9,High,2013-01-19,2013-05-22,2013-12-18,7,39,123,0,1 +9407,leon manson,leon,manson,2013-08-27,Male,1975-11-08,40,25 - 45,African-American,0,7,0,0,20,-1,2013-08-26 05:08:09,2013-08-27 06:56:09,13012035CF10A,2013-08-26,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-27,Risk of Violence,4,Low,2013-08-27,2015-04-30,2015-08-10,20,0,611,0,0 +9408,shila kalichman,shila,kalichman,2013-09-04,Female,1960-10-17,55,Greater than 45,Other,0,1,0,0,5,,,,12012443CF10A,2012-08-22,,378,F,Burglary Structure Unoccup,1,14006223CF10A,(F3),,2014-05-04,Resist Officer w/Violence,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,,,5,0,242,1,1 +9412,storm palmer,storm,palmer,2013-03-04,Female,1980-01-09,36,25 - 45,African-American,0,1,0,0,1,-1,2013-03-03 09:45:21,2013-03-04 01:14:15,13004312MM10A,2013-03-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,2,Low,2013-03-04,2013-03-03,2013-03-04,1,0,1124,0,0 +9413,evintz etienne,evintz,etienne,2014-03-01,Male,1981-08-07,34,25 - 45,African-American,0,9,0,0,16,-1,2014-02-28 09:40:54,2014-03-01 09:49:28,14002865CF10A,2014-02-28,,1,F,Possession of Cannabis,1,14012776CF10A,(M1),1,2014-09-20,Possess Drug Paraphernalia,2014-09-21,2014-09-22,,0,,,,,Risk of Recidivism,9,High,2014-03-01,Risk of Violence,2,Low,2014-03-01,2014-03-20,2014-05-07,16,0,19,0,1 +9414,timothy baldwin,timothy,baldwin,2013-05-06,Male,1975-01-25,41,25 - 45,Caucasian,0,2,0,0,1,-1,2013-05-05 02:01:33,2013-05-07 04:47:46,13008689MM10A,2013-05-05,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,1,15015844TC40A,(M2),,2015-02-04,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-05,2013-05-07,1,1,639,1,1 +9415,carlo marra,carlo,marra,2013-01-28,Male,1958-04-20,57,Greater than 45,Caucasian,0,1,0,0,7,-1,2013-01-27 07:37:35,2013-06-28 05:35:04,12017311CF10A,,2013-01-27,1,F,arrest case no charge,1,15058864TC40A,(M1),,2015-10-07,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-06-28,7,151,982,1,0 +9416,ronald pierre,ronald,pierre,2013-10-10,Male,1989-09-12,26,25 - 45,African-American,0,5,0,0,1,-1,2013-10-09 07:03:47,2013-10-10 10:04:05,13011852CF10A,,2013-10-09,1,F,arrest case no charge,1,16007279TC20A,(M2),,2016-02-05,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-10,Risk of Violence,4,Low,2013-10-10,2013-10-09,2013-10-10,1,0,848,1,0 +9417,michael marafino,michael,marafino,2014-04-22,Male,1976-08-31,39,25 - 45,Caucasian,0,6,0,0,2,-88,2014-01-24 06:15:32,2014-02-24 10:51:20,14001058CF10A,,2014-01-24,88,F,arrest case no charge,1,14013930MM10A,(M1),0,2014-09-17,Extradition/Defendants,2014-09-17,2014-10-03,,0,,,,,Risk of Recidivism,6,Medium,2014-04-22,Risk of Violence,3,Low,2014-04-22,2014-09-17,2014-10-03,2,0,148,1,1 +9419,bienvenido valoy,bienvenido,valoy,2014-10-08,Male,1971-01-25,45,Greater than 45,African-American,0,3,0,0,0,0,2014-10-08 04:47:25,2014-10-09 04:05:02,14013596CF10A,2014-10-08,,0,F,Possession of Cocaine,1,15008069CF10A,(F2),-1,2015-06-19,Deliver Cocaine,2015-06-18,2015-06-19,,0,,,,,Risk of Recidivism,3,Low,2014-10-08,Risk of Violence,1,Low,2014-10-08,2015-06-18,2015-06-19,0,1,253,0,1 +9420,gregory bishop,gregory,bishop,2013-05-10,Male,1989-06-30,26,25 - 45,African-American,0,3,0,1,2,-7,2013-05-03 04:10:54,2013-05-10 12:24:16,13006352CF10A,2013-05-03,,7,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-10,Risk of Violence,3,Low,2013-05-10,2013-05-03,2013-05-10,2,0,1057,0,0 +9425,aurelia coffey,aurelia,coffey,2014-01-30,Female,1967-09-19,48,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-29 06:04:45,2014-01-30 10:34:50,14001313CF10A,2014-01-29,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-30,Risk of Violence,1,Low,2014-01-30,2014-01-29,2014-01-30,0,0,792,0,0 +9428,george melbourne,george,melbourne,2013-04-20,Male,1963-07-12,52,Greater than 45,Caucasian,0,2,0,0,7,-1,2013-04-19 11:43:36,2013-04-20 08:15:31,13007601MM10A,2013-04-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-20,Risk of Violence,2,Low,2013-04-20,2013-04-19,2013-04-20,7,0,1077,0,0 +9429,jesus hernandez,jesus,hernandez,2013-01-08,Male,1993-05-24,22,Less than 25,Hispanic,0,3,0,0,2,-1,2013-01-07 09:12:09,2013-02-08 01:06:30,13000286CF10A,,2013-01-07,1,F,arrest case no charge,1,14013741CF10A,(M1),1,2014-10-10,Viol Injunct Domestic Violence,2014-10-11,2015-04-03,,0,,,,,Risk of Recidivism,3,Low,2013-01-08,Risk of Violence,5,Medium,2013-01-08,2013-01-07,2013-02-08,2,31,640,1,1 +9433,grace harris,grace,harris,2013-05-01,Female,1972-09-20,43,25 - 45,African-American,0,1,0,0,0,-1,2013-04-30 03:49:28,2013-05-01 10:14:34,13008356MM10A,2013-04-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-01,Risk of Violence,1,Low,2013-05-01,2013-04-30,2013-05-01,0,0,1066,0,0 +9434,dorian fields,dorian,fields,2013-11-12,Male,1980-05-08,35,25 - 45,African-American,0,1,0,0,2,,,,13015684CF10A,2013-11-11,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-12,Risk of Violence,1,Low,2013-11-12,,,2,0,871,0,0 +9435,tyler wright,tyler,wright,2013-08-01,Male,1992-01-05,24,Less than 25,Caucasian,0,5,0,0,3,0,2013-08-01 06:42:08,2013-09-06 03:32:31,13010743CF10A,2013-08-01,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-01,Risk of Violence,4,Low,2013-08-01,2014-08-18,2014-10-15,3,36,382,0,0 +9436,barel sands,barel,sands,2014-10-05,Male,1988-07-17,27,25 - 45,African-American,0,7,0,0,11,-1,2014-10-04 02:29:18,2014-10-09 05:25:59,14013369CF10A,2014-10-04,,1,F,Driving While License Revoked,1,16002276MM10A,(M2),0,2016-02-03,Trespass Struct/Conveyance,2016-02-03,2016-02-04,,0,,,,,Risk of Recidivism,7,Medium,2014-10-05,Risk of Violence,5,Medium,2014-10-05,2014-11-12,2014-11-14,11,4,38,0,1 +9437,carlos garcia,carlos,garcia,2014-02-06,Male,1992-12-17,23,Less than 25,Hispanic,0,9,1,0,2,-1,2014-02-05 10:23:21,2014-02-28 01:40:43,14001630CF10A,2014-02-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-06,Risk of Violence,7,Medium,2014-02-06,2014-02-05,2014-02-28,2,22,785,0,0 +9438,william shaw,william,shaw,2013-05-30,Male,1959-12-26,56,Greater than 45,African-American,0,7,0,0,28,-69,2013-03-22 03:23:49,2013-05-21 11:03:28,13004184CF10A,2013-03-22,,69,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-30,Risk of Violence,4,Low,2013-05-30,2014-04-15,2014-05-06,28,0,320,0,0 +9439,xavier hillard,xavier,hillard,2013-03-26,Male,1987-05-27,28,25 - 45,African-American,0,6,0,0,2,-1,2013-03-25 06:38:21,2013-03-26 01:04:30,13004332CF10A,2013-03-25,,1,F,Poss Cocaine/Intent To Del/Sel,1,13021361MM10A,(M1),0,2013-07-26,Indecent Exposure,2013-07-26,2014-01-19,,0,,,,,Risk of Recidivism,6,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,2013-07-26,2014-01-19,2,0,122,1,1 +9440,barclay beljour,barclay,beljour,2014-02-03,Male,1994-07-20,21,Less than 25,African-American,0,5,0,0,0,0,2014-02-03 04:26:42,2014-02-03 08:48:36,14001510CF10A,2014-02-03,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-03,Risk of Violence,6,Medium,2014-02-03,2014-02-03,2014-02-03,0,0,788,0,0 +9441,william murrell,william,murrell,2014-04-16,Male,1983-01-06,33,25 - 45,African-American,0,9,0,0,5,-1,2014-04-15 01:07:07,2014-04-16 08:49:40,11020036MM10A,2011-07-02,,1019,M,Battery,1,14053769TC20A,(M2),241,2014-07-23,Driving License Suspended,2015-03-21,2015-05-09,,0,,,,,Risk of Recidivism,9,High,2014-04-16,Risk of Violence,3,Low,2014-04-16,2016-02-09,2016-03-19,5,0,98,1,1 +9442,tony miller,tony,miller,2013-03-23,Male,1990-07-09,25,25 - 45,African-American,0,8,0,0,1,-1,2013-03-22 06:17:15,2013-03-23 10:32:49,13004160CF10A,2013-03-22,,1,F,Pos Cannabis W/Intent Sel/Del,1,14005559MM10A,(M1),,2014-03-06,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-03-23,Risk of Violence,8,High,2013-03-23,2013-03-22,2013-03-23,1,0,348,1,1 +9443,caleb fields,caleb,fields,2014-10-23,Male,1979-10-22,36,25 - 45,African-American,0,8,2,0,17,-1,2014-10-22 04:30:53,2014-11-06 05:02:13,14013568CF10A,,2014-10-22,1,F,arrest case no charge,1,15006193CF10A,(F3),,2015-04-08,Aggrav Stalking After Injunctn,,,,0,,,,,Risk of Recidivism,8,High,2014-10-23,Risk of Violence,5,Medium,2014-10-23,2014-10-22,2014-11-06,17,14,167,1,1 +9444,jennifer smith,jennifer,smith,2013-10-28,Female,1990-12-08,25,25 - 45,Caucasian,0,5,0,0,0,0,2013-10-28 04:36:41,2013-10-29 02:20:00,13015040CF10A,2013-10-28,,0,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-28,Risk of Violence,3,Low,2013-10-28,2014-11-26,2014-12-09,0,1,394,0,0 +9446,lucien antoine,lucien,antoine,2014-01-30,Male,1984-07-08,31,25 - 45,Other,0,6,0,0,3,,,,14001305CF10A,2014-01-29,,1,F,Felony Driving While Lic Suspd,1,16000672MM20A,(M1),,2016-03-08,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-30,Risk of Violence,3,Low,2014-01-30,,,3,0,768,1,0 +9448,matthew whittington,matthew,whittington,2013-01-18,Male,1970-02-13,46,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-01-17 12:41:20,2013-01-18 01:52:16,13001123MO10A,2013-01-16,,2,M,DOC/Cause Public Danger,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-18,Risk of Violence,3,Low,2013-01-18,2013-01-17,2013-01-18,0,0,1169,0,0 +9450,kasha matthews,kasha,matthews,2013-04-20,Female,1991-06-04,24,Less than 25,African-American,0,7,0,0,0,0,2013-04-20 04:53:06,2013-04-22 05:17:41,13005677CF10A,,2013-04-20,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2015-07-30,2015-08-06,0,2,831,0,0 +9451,ricky gamble,ricky,gamble,2013-01-29,Male,1988-03-17,28,25 - 45,African-American,0,7,0,0,4,0,2013-01-29 12:47:47,2013-02-04 05:02:07,13001369CF10A,2013-01-29,,0,F,Battery on a Person Over 65,1,14012506MM10A,(M2),0,2014-08-19,Petit Theft,2014-08-19,2014-08-28,,0,,,,,Risk of Recidivism,7,Medium,2013-01-29,Risk of Violence,6,Medium,2013-01-29,2014-08-19,2014-08-28,4,6,567,1,1 +9452,dean parks,dean,parks,2014-01-06,Male,1987-06-21,28,25 - 45,African-American,0,7,0,1,12,-2,2014-01-04 01:05:47,2014-01-05 02:30:39,14000170MM10A,2014-01-04,,2,M,Criminal Mischief Damage <$200,1,14009121CF10A,(F1),,2014-02-14,Deliver Cocaine 1000FT Park,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-06,Risk of Violence,3,Low,2014-01-06,2015-05-12,2020-01-01,12,0,39,1,1 +9458,quentin bullard,quentin,bullard,2014-07-20,Male,1993-03-09,23,Less than 25,African-American,0,3,0,0,0,0,2014-07-20 05:21:13,2014-07-21 08:03:18,14011088MM10A,2014-07-20,,0,M,Disorderly Conduct,1,15004224CF10A,(F3),0,2015-03-31,Possession of Ethylone,2015-03-31,2015-03-31,,0,,,,,Risk of Recidivism,3,Low,2014-07-20,Risk of Violence,5,Medium,2014-07-20,2015-03-31,2015-03-31,0,1,254,0,1 +9459,ruslan delgado,ruslan,delgado,2013-01-14,Male,1991-12-31,24,Less than 25,Other,0,3,0,0,0,0,2013-01-14 03:09:07,2013-01-14 06:34:18,13000906MM10A,2013-01-14,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-14,Risk of Violence,4,Low,2013-01-14,2013-01-14,2013-01-14,0,0,1173,0,0 +9460,carlos martinez,carlos,martinez,2013-02-01,Male,1975-10-26,40,25 - 45,Hispanic,0,3,0,0,0,0,2013-02-01 02:35:40,2013-02-01 01:46:17,13002368MM10A,2013-02-01,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-02-01,2013-02-01,0,0,1155,0,0 +9461,julio rodriguez,julio,rodriguez,2014-02-10,Male,1980-03-26,36,25 - 45,Hispanic,0,2,0,0,1,0,2014-02-10 03:17:30,2014-02-10 08:03:23,14002291MM10A,2014-02-10,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-10,2014-02-10,1,0,781,0,0 +9462,arthur andreu,arthur,andreu,2013-02-04,Male,1966-02-25,50,Greater than 45,Caucasian,0,6,0,0,1,-1,2013-02-03 05:31:13,2013-03-15 09:45:14,13002419MM10A,2013-02-03,,1,M,Prowling/Loitering,1,13012542MM10A,(M1),,2013-05-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-04,Risk of Violence,3,Low,2013-02-04,2013-02-03,2013-03-15,1,39,103,1,1 +9463,oscar perez-godinez,oscar,perez-godinez,2013-10-22,Male,1982-10-09,33,25 - 45,Hispanic,0,1,0,0,1,,,,13016916TC10A,2013-03-17,,219,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,,,1,0,892,0,0 +9464,clifton hiott,clifton,hiott,2013-05-07,Male,1991-08-14,24,Less than 25,Caucasian,0,2,0,0,0,0,2013-05-07 03:24:59,2013-05-08 03:17:44,13008836MM10A,2013-05-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-07,Risk of Violence,3,Low,2013-05-07,2013-05-07,2013-05-08,0,1,1060,0,0 +9465,herman holmes,herman,holmes,2013-05-27,Female,1961-01-08,55,Greater than 45,African-American,0,1,0,0,2,-1,2013-05-26 09:39:19,2013-05-27 12:50:46,13007510CF10A,2013-05-26,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-26,2013-05-27,2,0,1040,0,0 +9467,tremaine johnson,tremaine,johnson,2013-09-21,Male,1993-05-09,22,Less than 25,African-American,0,7,0,0,0,-1,2013-09-20 08:56:21,2013-09-23 08:17:38,13013251CF10A,2013-09-20,,1,F,"Poss3,4 Methylenedioxymethcath",1,13020626MO10A,(MO3),0,2013-11-01,Poss Of Controlled Substance,2013-11-01,2013-11-13,,0,,,,,Risk of Recidivism,7,Medium,2013-09-21,Risk of Violence,8,High,2013-09-21,2013-11-01,2013-11-13,0,2,41,1,1 +9473,david smith,david,smith,2013-08-07,Male,1977-05-08,38,25 - 45,African-American,0,7,0,0,14,-1,2013-08-06 04:46:34,2013-10-01 08:40:14,13011030CF10A,2013-08-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-07,Risk of Violence,3,Low,2013-08-07,2015-09-19,2015-09-28,14,55,773,0,0 +9475,bryan mcdougle,bryan,mcdougle,2013-09-04,Male,1985-04-12,31,25 - 45,African-American,0,1,0,0,1,-1,2013-09-03 07:13:09,2013-09-04 12:44:15,13012444CF10A,2013-09-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,2,Low,2013-09-04,2013-09-03,2013-09-04,1,0,940,0,0 +9476,jaimie peterson,jaimie,peterson,2014-01-12,Female,1986-01-02,30,25 - 45,African-American,0,2,0,0,3,-1,2014-01-11 06:56:43,2014-01-12 02:17:00,14000484CF10A,2014-01-11,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-12,Risk of Violence,2,Low,2014-01-12,2014-01-11,2014-01-12,3,0,810,0,0 +9479,frenel cajilus,frenel,cajilus,2013-03-14,Male,1963-06-11,52,Greater than 45,Caucasian,0,1,0,0,1,714,2015-02-26 03:25:51,2015-04-07 06:16:49,09018555CF10A,,2012-12-10,94,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-14,Risk of Violence,1,Low,2013-03-14,2015-02-26,2015-04-07,1,0,714,0,0 +9483,jack darlington,jack,darlington,2014-06-18,Male,1979-04-01,37,25 - 45,African-American,0,8,0,0,16,-1,2014-06-17 01:17:25,2014-06-19 03:41:00,14008372CF10A,,2014-06-17,1,F,arrest case no charge,1,15007065MM10A,(M1),,2015-06-13,Battery,,,,1,15007065MM10A,(M1),2015-06-13,Battery,Risk of Recidivism,8,High,2014-06-18,Risk of Violence,3,Low,2014-06-18,2014-08-21,2015-01-04,16,1,64,0,1 +9484,leslie slager,leslie,slager,2013-01-14,Female,1974-11-20,41,25 - 45,Caucasian,0,2,0,0,1,0,2013-01-14 02:19:29,2013-02-12 05:24:53,13000872MM10A,2013-01-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,1,Low,2013-01-14,2013-01-14,2013-02-12,1,29,1173,0,0 +9486,akeel franklin,akeel,franklin,2014-01-31,Male,1995-09-25,20,Less than 25,African-American,0,5,0,0,0,-1,2014-01-30 01:49:49,2014-01-31 01:46:52,14001350CF10A,2014-01-30,,1,F,Deliver Cannabis 1000FTSch,1,14010545MM10A,(M1),0,2014-07-09,Possess Cannabis/20 Grams Or Less,2014-07-09,2014-07-10,,1,16001450CF10A,(F3),2016-02-03,Aggravated Assault w/Firearm,Risk of Recidivism,5,Medium,2014-01-31,Risk of Violence,7,Medium,2014-01-31,2014-07-09,2014-07-10,0,0,159,1,1 +9488,joffre tello,joffre,tello,2013-05-14,Male,1995-04-04,21,Less than 25,Caucasian,0,4,0,0,0,0,2013-05-14 04:05:48,2013-05-15 03:52:11,13009345MM10A,2013-05-14,,0,M,Battery,1,13019785MM10A,(M1),1,2013-10-18,Resist/Obstruct W/O Violence,2013-10-19,2013-10-19,,0,,,,,Risk of Recidivism,4,Low,2013-05-14,Risk of Violence,7,Medium,2013-05-14,2013-05-14,2013-05-15,0,1,157,1,1 +9491,erik manning,erik,manning,2013-12-05,Male,1993-12-03,22,Less than 25,Caucasian,0,5,0,0,1,0,2013-12-05 12:27:40,2013-12-14 11:44:15,13022562MM10A,2013-12-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-05,Risk of Violence,5,Medium,2013-12-05,2013-12-05,2013-12-14,1,9,848,0,0 +9492,clinton stoney,clinton,stoney,2013-03-28,Male,1978-01-20,38,25 - 45,African-American,0,6,0,0,7,-1,2013-03-27 11:16:50,2013-10-11 06:18:15,13005976MM10A,2013-03-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-28,Risk of Violence,8,High,2013-03-28,2013-03-27,2013-10-11,7,197,1100,0,0 +9493,benjamin hines,benjamin,hines,2013-08-30,Male,1984-11-02,31,25 - 45,African-American,0,5,0,0,0,-1,2013-08-29 03:49:10,2013-09-06 04:06:56,13012234CF10A,2013-08-29,,1,F,Forging Bank Bills/Promis Note,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-30,Risk of Violence,2,Low,2013-08-30,2013-08-29,2013-09-06,0,7,945,0,0 +9494,kiyoshi tanaka-bustios,kiyoshi,tanaka-bustios,2013-08-16,Male,1987-08-31,28,25 - 45,Caucasian,0,7,0,0,0,0,2013-08-16 12:31:49,2013-10-09 03:10:07,13011476CF10A,2013-08-15,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-16,Risk of Violence,4,Low,2013-08-16,2014-03-28,2014-04-28,0,54,224,0,0 +9495,joseph magana,joseph,magana,2014-10-13,Male,1994-07-01,21,Less than 25,Hispanic,0,7,1,0,2,-1,2014-10-12 11:11:46,2014-10-15 01:25:15,14013787CF10A,2014-10-12,,1,F,Burglary Dwelling Occupied,1,15007339MM10A,(M1),0,2015-07-09,Battery,2015-07-09,2015-07-10,,1,15007339MM10A,(M1),2015-07-09,Battery,Risk of Recidivism,7,Medium,2014-10-13,Risk of Violence,8,High,2014-10-13,2015-07-09,2015-07-10,2,2,269,1,1 +9497,jonnie ferris,jonnie,ferris,2013-03-30,Male,1976-10-19,39,25 - 45,African-American,0,8,0,0,1,-1,2013-03-29 11:09:55,2013-03-30 10:17:01,13004518CF10A,2013-03-29,,1,F,Unlawful Conveyance of Fuel,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-30,Risk of Violence,4,Low,2013-03-30,2013-03-29,2013-03-30,1,0,1098,0,0 +9499,elvis bryan,elvis,bryan,2013-03-12,Male,1981-10-13,34,25 - 45,African-American,0,7,0,0,22,-1,2013-03-11 08:02:13,2013-03-12 10:19:12,13003595CF10A,2013-03-11,,1,F,Driving While License Revoked,1,13010546CF10A,(F3),,2013-07-27,Driving While License Revoked,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-12,Risk of Violence,2,Low,2013-03-12,2013-10-17,2013-10-18,22,0,137,1,1 +9500,christopher clingan,christopher,clingan,2013-01-16,Male,1984-02-07,32,25 - 45,Caucasian,0,2,1,0,2,293,2013-11-05 12:58:38,2014-01-14 10:00:00,12003600CF10A,,2012-07-21,179,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,2,Low,2013-01-16,2013-11-05,2014-01-14,2,0,293,0,0 +9501,mikrko casalino,mikrko,casalino,2014-03-31,Male,1970-06-19,45,Greater than 45,Hispanic,0,1,0,0,0,0,2014-03-31 01:28:27,2014-04-01 04:42:33,14005510MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-31,2014-04-01,0,1,732,0,0 +9504,charles mcintyre,charles,mcintyre,2013-03-08,Male,1979-11-16,36,25 - 45,African-American,0,5,0,2,7,-32,2013-02-04 12:18:13,2013-02-12 09:47:40,12012106CF10A,,2013-02-04,32,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-08,Risk of Violence,5,Medium,2013-03-08,2015-06-22,2015-06-29,7,0,836,0,0 +9506,patrick frazier,patrick,frazier,2013-03-28,Male,1991-08-03,24,Less than 25,African-American,0,9,0,0,0,-1,2013-03-27 07:55:09,2013-04-11 12:11:23,13005996MM10A,2013-03-27,,1,M,Battery,1,14046590TC40A,(M2),222,2014-07-04,Susp Drivers Lic 1st Offense,2015-02-11,2015-02-13,,0,,,,,Risk of Recidivism,9,High,2013-03-28,Risk of Violence,6,Medium,2013-03-28,2013-03-27,2013-04-11,0,14,463,1,1 +9509,joe porter,joe,porter,2014-09-19,Male,1989-01-30,27,25 - 45,African-American,0,7,0,0,9,-1,2014-09-18 08:58:45,2014-09-19 01:56:48,14012675CF10A,2014-09-18,,1,F,Poss Contr Subst W/o Prescript,1,14016419MM10A,(M2),0,2014-11-03,Trespass Structure/Conveyance,2014-11-03,2014-12-13,,1,15013027MM10A,(M1),2015-12-16,Battery,Risk of Recidivism,7,Medium,2014-09-19,Risk of Violence,6,Medium,2014-09-19,2014-11-03,2014-12-13,9,0,45,1,1 +9511,richar ayme,richar,ayme,2014-03-06,Male,1985-12-01,30,25 - 45,Hispanic,0,1,0,0,0,0,2014-03-06 02:54:16,2014-03-06 08:15:55,14003189CF10A,,2014-03-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-06,Risk of Violence,2,Low,2014-03-06,2014-03-06,2014-03-06,0,0,757,0,0 +9512,barry downs,barry,downs,2013-03-12,Male,1954-08-06,61,Greater than 45,African-American,0,6,0,0,8,-35,2013-02-05 03:29:55,2013-03-12 01:00:44,13001758CF10A,,2013-03-01,11,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-12,Risk of Violence,3,Low,2013-03-12,2013-02-05,2013-03-12,8,0,1116,0,0 +9513,arealious grier,arealious,grier,2013-04-04,Male,1973-03-21,43,25 - 45,African-American,0,1,0,0,2,0,2013-04-04 09:42:56,2013-04-05 06:24:43,13004836CF10A,,2013-04-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,2013-04-04,2013-04-05,2,1,1093,0,0 +9515,vilardin cleophar,vilardin,cleophar,2013-10-12,Male,1989-06-08,26,25 - 45,African-American,0,4,0,0,1,-1,2013-10-11 09:46:40,2013-10-12 07:56:28,13014265CF10A,2013-10-11,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-12,Risk of Violence,3,Low,2013-10-12,2013-10-11,2013-10-12,1,0,902,0,0 +9516,oneil nelson,oneil,nelson,2013-02-11,Male,1983-05-26,32,25 - 45,African-American,0,2,3,0,7,-1,2013-02-10 09:25:19,2013-02-15 10:47:40,13001964CF10A,,2013-02-10,1,F,arrest case no charge,1,15033489TC40A,(M2),,2015-06-05,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,2,Low,2013-02-11,2014-10-17,2014-10-23,7,4,613,0,0 +9517,cindy sutton,cindy,sutton,2013-11-26,Female,1958-09-19,57,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-11-25 07:35:42,2013-11-26 02:01:58,13016393CF10A,2013-11-25,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2013-11-25,2013-11-26,2,0,857,0,0 +9518,paola collado-izquierdo,paola,collado-izquierdo,2013-03-01,Female,1975-11-09,40,25 - 45,Caucasian,0,1,0,0,0,0,2013-03-01 05:42:22,2013-03-01 07:38:56,13004237MM10A,2013-03-01,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-01,0,0,1127,0,0 +9519,seamus limato,seamus,limato,2014-08-22,Male,1982-11-19,33,25 - 45,Caucasian,0,6,0,0,6,-1,2014-08-21 06:34:44,2015-01-20 12:41:49,14011569CF10A,2014-08-22,,0,F,Grand Theft in the 3rd Degree,1,15003807CF10A,(F3),,2015-03-20,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,6,Medium,2014-08-22,Risk of Violence,6,Medium,2014-08-22,2015-02-15,2015-03-13,6,151,177,0,1 +9523,nikenson nicolas,nikenson,nicolas,2013-08-06,Male,1985-05-06,30,25 - 45,African-American,0,5,0,0,2,-1,2013-08-05 08:20:07,2013-08-06 08:43:35,13010980CF10A,2013-08-05,,1,F,Possession of Cocaine,1,13014252CF10A,(F3),1,2013-10-11,Grand Theft in the 3rd Degree,2013-10-12,2013-11-09,,0,,,,,Risk of Recidivism,5,Medium,2013-08-06,Risk of Violence,3,Low,2013-08-06,2014-12-13,2014-12-14,2,0,66,1,1 +9524,andrew tarr,andrew,tarr,2013-03-19,Male,1986-06-28,29,25 - 45,Caucasian,0,10,0,0,1,-1,2013-03-18 01:24:18,2013-03-29 06:02:35,13008447TC10A,2013-01-17,,61,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-19,Risk of Violence,10,High,2013-03-19,2013-03-31,2013-03-31,1,10,12,0,0 +9526,crystal rushton,crystal,rushton,2013-09-18,Female,1994-12-30,21,Less than 25,Caucasian,0,8,0,0,1,132,2014-01-28 12:54:25,2014-01-28 08:41:49,13006615CF10A,,2013-05-03,138,F,arrest case no charge,1,16000990CF10A,(F3),0,2016-01-24,Possession of Cannabis,2016-01-24,2016-01-25,,0,,,,,Risk of Recidivism,8,High,2013-09-18,Risk of Violence,9,High,2013-09-18,2014-01-28,2014-01-28,1,0,132,0,0 +9527,bernard edwards,bernard,edwards,2013-03-01,Male,1979-12-05,36,25 - 45,African-American,0,2,0,0,2,-4,2013-02-25 02:38:41,2013-02-25 08:51:02,13003939MM10A,2013-02-25,,4,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-01,Risk of Violence,2,Low,2013-03-01,2013-02-25,2013-02-25,2,0,1127,0,0 +9528,reginald rasbin,reginald,rasbin,2013-12-06,Male,1957-02-17,59,Greater than 45,African-American,0,4,0,0,17,-189,2013-05-31 10:37:30,2013-11-26 02:03:49,12012979CF10A,2012-08-30,,463,F,Fail Register Career Offender,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-06,Risk of Violence,4,Low,2013-12-06,2014-08-11,2014-11-12,17,0,248,0,0 +9529,baretta butler,baretta,butler,2013-03-29,Male,1981-03-25,35,25 - 45,African-American,0,8,0,0,6,0,2013-03-29 10:59:47,2013-03-30 08:37:52,13003084CF10A,,2013-03-29,0,F,arrest case no charge,1,13023261MM10A,(M1),194,2013-10-02,Possess Cannabis/20 Grams Or Less,2014-04-14,2014-04-22,,1,15015721CF10A,(F3),2015-10-01,Child Abuse,Risk of Recidivism,8,High,2013-03-29,Risk of Violence,5,Medium,2013-03-29,2013-03-29,2013-03-30,6,1,187,1,1 +9530,robson figueiredo,robson,figueiredo,2013-05-22,Male,1966-06-02,49,Greater than 45,Hispanic,0,2,0,0,0,-1,2013-05-21 07:55:37,2013-05-22 08:28:30,13009808MM10A,2013-05-21,,1,M,Viol Injunction Protect Dom Vi,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-22,Risk of Violence,1,Low,2013-05-22,2013-05-21,2013-05-22,0,0,1045,0,0 +9531,chandler tarquino,chandler,tarquino,2013-02-11,Male,1989-12-31,26,25 - 45,Hispanic,0,9,0,0,5,0,2013-02-11 12:54:22,2013-02-11 10:02:21,13001141CF10A,,2013-02-10,1,F,arrest case no charge,1,14002701CF10A,(M1),0,2014-02-26,Resist/Obstruct W/O Violence,2014-02-26,2015-09-17,,0,,,,,Risk of Recidivism,9,High,2013-02-11,Risk of Violence,9,High,2013-02-11,2013-03-07,2013-04-01,5,0,24,0,1 +9532,shakime brown,shakime,brown,2014-08-22,Male,1994-06-13,21,Less than 25,African-American,0,5,1,0,2,-1,2014-08-21 08:49:51,2014-08-29 11:56:42,14011439CF10A,2014-08-21,,1,F,Aggravated Assault w/Firearm,1,15006778MM10A,(M1),101,2015-02-14,Battery,2015-05-26,2015-12-09,,1,15006778MM10A,(M1),2015-02-14,Battery,Risk of Recidivism,5,Medium,2014-08-22,Risk of Violence,5,Medium,2014-08-22,2014-08-21,2014-08-29,2,7,176,1,1 +9534,anthony louis,anthony,louis,2014-01-25,Male,1966-11-05,49,Greater than 45,African-American,0,6,0,0,29,-1,2014-01-24 07:02:56,2014-01-25 02:23:08,14001062CF10A,2014-01-24,,1,F,Felony Driving While Lic Suspd,1,14001135CF10A,(M2),0,2014-01-26,Unlaw LicTag/Sticker Attach,2014-01-26,2014-01-27,,0,,,,,Risk of Recidivism,6,Medium,2014-01-25,Risk of Violence,1,Low,2014-01-25,2014-01-26,2014-01-27,29,0,1,1,1 +9535,wilberto alegria,wilberto,alegria,2013-06-28,Male,1993-01-14,23,Less than 25,Hispanic,0,10,0,0,1,87,2013-09-23 03:34:18,2014-03-19 10:17:00,12000821CF10A,,2013-01-14,165,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-06-28,Risk of Violence,9,High,2013-06-28,2013-09-23,2014-03-19,1,0,87,0,0 +9536,lashunda cobb,lashunda,cobb,2014-02-10,Female,1979-02-16,37,25 - 45,African-American,0,8,0,0,23,0,2014-02-10 12:40:07,2014-02-10 01:59:01,14002241MM10A,2014-02-08,,2,M,Battery,1,15013996TC30A,(M2),,2015-02-13,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2014-02-10,Risk of Violence,4,Low,2014-02-10,2014-02-10,2014-02-10,23,0,368,1,1 +9537,angel serrano,angel,serrano,2013-05-28,Male,1982-07-18,33,25 - 45,Hispanic,0,2,0,0,0,-1,2013-05-27 09:13:22,2013-05-28 01:06:08,13010167MM10A,2013-05-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-05-27,2013-05-28,0,0,1039,0,0 +9538,marlon jackson,marlon,jackson,2013-03-08,Male,1995-07-26,20,Less than 25,African-American,1,3,0,0,1,39,2013-04-16 01:55:09,2013-05-24 01:42:34,11019971CF10A,,2011-12-29,435,F,arrest case no charge,1,14007680MM10A,(M1),0,2014-05-09,Resist/Obstruct W/O Violence,2014-05-09,2014-06-20,,1,16001515CF10A,(F3),2016-02-04,Aggravated Assault w/Firearm,Risk of Recidivism,3,Low,2013-03-08,Risk of Violence,6,Medium,2013-03-08,2013-04-16,2013-05-24,1,0,39,0,1 +9539,joshua soden,joshua,soden,2013-05-03,Male,1987-10-01,28,25 - 45,Caucasian,0,10,0,0,1,-39,2013-03-25 11:45:08,2013-04-08 12:57:06,13000592CF10A,,2013-03-25,39,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-05-03,Risk of Violence,10,High,2013-05-03,2013-03-25,2013-04-08,1,0,1064,0,0 +9540,calvin feagin,calvin,feagin,2014-08-15,Male,1986-09-13,29,25 - 45,African-American,0,2,0,0,3,0,2014-08-15 12:52:06,2014-08-15 02:28:06,14011144CF10A,2014-08-14,,1,F,Pos Cannabis W/Intent Sel/Del,1,16000108MM40A,(M1),77,2015-12-09,Possess Cannabis/20 Grams Or Less,2016-02-24,2016-02-24,,0,,,,,Risk of Recidivism,2,Low,2014-08-15,Risk of Violence,2,Low,2014-08-15,2016-02-24,2016-02-24,3,0,481,1,1 +9541,tyrus hicks,tyrus,hicks,2014-06-11,Male,1990-08-03,25,25 - 45,African-American,0,5,0,1,1,0,2014-06-11 04:13:43,2014-06-12 03:47:52,14008093CF10A,2014-06-11,,0,F,"Poss 3,4 MDMA (Ecstasy)",1,14014824MM10A,(M1),0,2014-10-09,Resist/Obstruct W/O Violence,2014-10-09,2014-10-09,,0,,,,,Risk of Recidivism,5,Medium,2014-06-11,Risk of Violence,4,Low,2014-06-11,2014-10-09,2014-10-09,1,1,120,0,1 +9542,martez cooper,martez,cooper,2013-10-25,Male,1995-05-13,20,Less than 25,African-American,0,8,0,0,2,-1,2013-10-24 08:27:29,2013-11-26 12:02:57,13014897CF10A,,2013-10-24,1,F,arrest case no charge,1,14009665MM10A,(M1),0,2014-06-20,Viol Prot Injunc Repeat Viol,2014-06-20,2014-08-08,,0,,,,,Risk of Recidivism,8,High,2013-10-25,Risk of Violence,7,Medium,2013-10-25,2014-06-20,2014-08-08,2,32,238,1,1 +9544,philip hegarty,philip,hegarty,2014-03-10,Male,1986-04-02,30,25 - 45,Caucasian,0,9,0,0,3,-39,2014-01-30 11:05:49,2014-01-31 02:15:13,14001696MM10A,2014-01-30,,39,M,Battery,1,15026334TC10A,(M2),,2015-09-08,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,9,High,2014-03-10,Risk of Violence,5,Medium,2014-03-10,2014-01-30,2014-01-31,3,0,547,1,1 +9545,tommy walden,tommy,walden,2013-01-06,Male,1960-10-04,55,Greater than 45,African-American,0,4,0,0,5,-1,2013-01-05 05:44:55,2013-11-02 04:12:16,13002948CF10A,2013-01-05,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-06,Risk of Violence,3,Low,2013-01-06,2013-01-05,2013-11-02,5,300,1181,0,0 +9547,gustavo sanchez,gustavo,sanchez,2013-04-20,Male,1989-11-22,26,25 - 45,Caucasian,0,4,0,0,0,-1,2013-04-19 05:42:16,2013-04-20 07:58:27,13007597MM10A,2013-04-18,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-04-19,2013-04-20,0,0,1077,0,0 +9548,kim anthony,kim,anthony,2013-02-12,Female,1963-11-29,52,Greater than 45,Caucasian,0,1,0,0,6,-13,2013-01-30 12:51:16,2013-02-06 09:57:29,12018456CF10A,,2013-01-30,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-12,Risk of Violence,1,Low,2013-02-12,2014-12-22,2015-02-16,6,0,678,0,0 +9550,vincent stanley,vincent,stanley,2013-08-30,Male,1963-06-29,52,Greater than 45,African-American,0,8,0,0,16,-1,2013-08-29 11:56:07,2013-08-30 08:01:33,13011094CF10A,,2013-08-29,1,F,arrest case no charge,1,15003009CF10A,(F6),,2015-03-04,Murder in the First Degree,,,,1,15003009CF10A,(F6),2015-03-04,Murder in the First Degree,Risk of Recidivism,8,High,2013-08-30,Risk of Violence,5,Medium,2013-08-30,2013-08-29,2013-08-30,16,0,551,1,1 +9552,rene castro,rene,castro,2013-01-14,Male,1988-06-19,27,25 - 45,Hispanic,0,7,0,0,1,-1,2013-01-13 09:36:17,2013-01-15 10:41:24,13000593CF10A,2013-01-13,,1,F,Grand Theft in the 3rd Degree,1,13013038CF10A,(F3),,2013-08-07,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-14,Risk of Violence,4,Low,2013-01-14,2013-07-11,2014-06-05,1,1,205,1,1 +9553,gabriel cerenzia,gabriel,cerenzia,2013-09-07,Male,1955-11-21,60,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-09-06 10:11:34,2013-09-17 06:28:32,13017049MM10A,2013-09-06,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-06,2013-09-17,2,10,937,0,0 +9554,scott konija,scott,konija,2013-08-26,Male,1971-11-12,44,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-25 06:20:12,2013-08-27 08:52:06,13016462MM10A,2013-08-25,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-26,Risk of Violence,1,Low,2013-08-26,2013-08-25,2013-08-27,0,1,949,0,0 +9556,eriam penate,eriam,penate,2013-08-15,Male,1985-06-25,30,25 - 45,Hispanic,0,2,0,0,1,-18,2013-07-28 11:05:35,2013-08-14 11:25:00,13010573CF10A,2013-07-28,,18,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-15,Risk of Violence,2,Low,2013-08-15,2013-07-28,2013-08-14,1,0,960,0,0 +9557,josha singletary,josha,singletary,2014-03-19,Female,1990-07-28,25,25 - 45,African-American,0,4,0,0,2,-1,2014-03-18 07:02:52,2014-03-19 01:20:36,14004716MM10A,2014-03-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-19,Risk of Violence,4,Low,2014-03-19,2014-03-18,2014-03-19,2,0,744,0,0 +9560,stacey bustillo,stacey,bustillo,2014-08-26,Female,1995-05-19,20,Less than 25,Caucasian,0,8,0,0,4,-1,2014-08-25 04:16:53,2014-08-28 01:07:26,14011614CF10A,,2014-08-25,1,F,arrest case no charge,1,15005564CF10A,(F3),,2015-03-30,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,8,High,2014-08-26,Risk of Violence,6,Medium,2014-08-26,2014-08-25,2014-08-28,4,2,216,1,1 +9561,brent gillet,brent,gillet,2013-01-30,Male,1987-07-14,28,25 - 45,Caucasian,0,7,0,0,3,-1,2013-01-29 07:31:46,2013-03-07 08:21:40,13001409CF10A,2013-01-29,,1,F,Possession of Oxycodone,1,13005928CF10A,(F3),0,2013-04-25,Possession of Cocaine,2013-04-25,2013-06-05,,0,,,,,Risk of Recidivism,7,Medium,2013-01-30,Risk of Violence,7,Medium,2013-01-30,2013-04-25,2013-06-05,3,36,85,1,1 +9562,dematris symonette,dematris,symonette,2013-03-07,Male,1976-12-03,39,25 - 45,African-American,0,4,0,0,3,-39,2013-01-27 03:35:19,2013-03-06 10:25:56,13001924MM10A,2013-01-26,,40,M,Battery,1,15005447MM10A,(M1),0,2015-05-18,Viol Injunct Domestic Violence,2015-05-18,2015-07-27,,0,,,,,Risk of Recidivism,4,Low,2013-03-07,Risk of Violence,2,Low,2013-03-07,2015-04-15,2015-04-20,3,0,769,0,0 +9563,michael cerniglia,michael,cerniglia,2013-08-15,Male,1993-07-19,22,Less than 25,Caucasian,0,6,0,0,1,-12,2013-08-03 12:26:02,2013-08-15 10:46:30,13010921CF10A,2013-08-02,,13,F,Solicitation On Felony 3 Deg,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-15,Risk of Violence,4,Low,2013-08-15,2015-03-02,2015-04-02,1,0,564,0,0 +9566,michael lowe,michael,lowe,2013-03-01,Male,1991-07-14,24,Less than 25,Caucasian,0,8,0,0,1,-1,2013-02-28 11:46:39,2013-03-01 01:12:00,13003041CF10A,2013-02-28,,1,F,Possession of Cannabis,1,13011110CF10A,(M1),0,2013-08-08,Possess Cannabis/20 Grams Or Less,2013-08-08,2013-08-27,,0,,,,,Risk of Recidivism,8,High,2013-03-01,Risk of Violence,5,Medium,2013-03-01,2013-08-08,2013-08-27,1,0,160,1,1 +9567,nancy brewer,nancy,brewer,2013-03-08,Female,1987-06-05,28,25 - 45,African-American,0,3,0,0,0,-1,2013-03-07 05:06:49,2013-09-14 05:58:00,13003404CF10A,2013-03-07,,1,F,Arson in the First Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-08,Risk of Violence,4,Low,2013-03-08,2014-01-22,2014-01-28,0,190,320,0,0 +9568,anthony milner,anthony,milner,2014-12-02,Male,1980-06-26,35,25 - 45,African-American,0,6,0,0,10,-28,2014-11-04 09:02:02,2014-11-27 04:39:03,14001225CF10A,,2014-11-04,28,F,arrest case no charge,1,15001275CF10A,(F3),0,2015-01-27,Grand Theft (Motor Vehicle),2015-01-27,2015-01-27,,0,,,,,Risk of Recidivism,6,Medium,2014-12-02,Risk of Violence,1,Low,2014-12-02,2015-01-27,2015-01-27,10,0,56,0,1 +9569,christian giraldo,christian,giraldo,2013-09-30,Male,1985-11-02,30,25 - 45,Caucasian,0,1,0,0,0,0,2013-09-30 03:43:29,2013-09-30 08:10:01,13018598MM10A,2013-09-30,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,2,Low,2013-09-30,2013-09-30,2013-09-30,0,0,914,0,0 +9570,larry andrews,larry,andrews,2014-12-04,Male,1993-11-23,22,Less than 25,African-American,0,3,0,2,0,-1,2014-12-03 07:24:28,2014-12-10 09:56:18,14016104CF10A,2014-12-03,,1,F,Burglary Conveyance Unoccup,1,15000369MM20A,(M2),1,2015-01-12,Trespass Struct/Conveyance,2015-01-13,2015-01-13,,0,,,,,Risk of Recidivism,3,Low,2014-12-04,Risk of Violence,5,Medium,2014-12-04,2014-12-03,2014-12-10,0,6,39,1,1 +9574,gibrian wilson,gibrian,wilson,2013-04-25,Male,1976-08-22,39,25 - 45,African-American,0,5,0,0,9,0,2013-04-25 02:54:02,2013-04-25 08:07:19,13005941CF10A,2013-04-25,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-25,2013-04-25,9,0,1072,0,0 +9576,foufoune junior,foufoune,junior,2013-09-10,Female,1969-10-16,46,Greater than 45,Other,0,1,0,0,1,-1,2013-09-09 10:34:11,2013-09-10 07:10:48,13002945CF10A,,2013-09-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-10,1,0,934,0,0 +9577,trevor duhaney,trevor,duhaney,2013-02-05,Male,1969-02-05,47,Greater than 45,Other,0,2,0,0,3,-1,2013-02-04 09:30:49,2013-02-08 09:07:37,13002565MM10A,2013-02-04,,1,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-02-04,2013-02-08,3,3,1151,0,0 +9578,shane rhoden,shane,rhoden,2013-02-27,Male,1989-07-12,26,25 - 45,African-American,0,7,0,0,5,-1,2013-02-26 09:51:35,2014-01-16 06:29:22,13002942CF10A,2013-02-26,,1,M,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-27,Risk of Violence,6,Medium,2013-02-27,2014-01-16,2014-02-19,5,357,1129,0,0 +9579,daniel martin,daniel,martin,2013-10-07,Male,1982-11-20,33,25 - 45,African-American,0,4,0,0,3,-130,2013-05-30 04:59:27,2013-10-07 11:13:04,13007726CF10A,,2013-05-30,130,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,4,Low,2013-10-07,2013-05-30,2013-10-07,3,0,907,0,0 +9581,phylicia littleton,phylicia,littleton,2013-08-18,Female,1993-03-30,23,Less than 25,African-American,0,3,0,0,0,-1,2013-08-17 04:56:13,2013-09-11 07:01:20,13011536CF10A,2013-08-17,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-18,Risk of Violence,4,Low,2013-08-18,2013-08-17,2013-09-11,0,24,957,0,0 +9584,sara gerald,sara,gerald,2014-09-21,Female,1964-02-13,52,Greater than 45,African-American,0,7,0,0,0,0,2014-09-21 03:44:25,2014-09-21 06:36:52,14012782CF10A,2014-09-21,,0,F,Felony Driving While Lic Suspd,1,15055062TC40A,(M2),,2015-09-18,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,7,Medium,2014-09-21,Risk of Violence,3,Low,2014-09-21,2014-09-21,2014-09-21,0,0,362,1,1 +9586,sekeyia dejean,sekeyia,dejean,2014-08-07,Female,1993-09-04,22,Less than 25,African-American,0,5,0,5,0,-1,2014-08-06 09:01:35,2014-08-07 07:57:19,14011919MM10A,2014-08-06,,1,M,Battery,1,15012566TC30A,(M2),,2015-02-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2014-08-07,Risk of Violence,5,Medium,2014-08-07,2014-08-06,2014-08-07,0,0,186,1,1 +9588,leonard harrell,leonard,harrell,2013-11-25,Male,1961-08-20,54,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-11-24 07:56:57,2013-11-26 09:41:51,13016333CF10A,2013-11-24,,1,F,Corrupt Public Servant,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-24,2013-11-26,0,1,858,0,0 +9589,edwin coleman,edwin,coleman,2013-09-10,Male,1965-10-10,50,Greater than 45,African-American,0,6,0,0,2,0,2013-09-10 07:08:23,2013-10-11 06:09:15,08027204MM10A,2008-11-15,,1760,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-10,Risk of Violence,5,Medium,2013-09-10,2013-09-10,2013-10-11,2,31,934,0,0 +9591,shaquile graneau,shaquile,graneau,2013-09-26,Male,1995-08-05,20,Less than 25,African-American,0,5,0,4,2,-1,2013-09-25 06:05:33,2013-09-26 09:33:04,13013508CF10A,2013-09-25,,1,F,Grand Theft in the 3rd Degree,1,14001868TC20A,(M2),,2014-01-01,Fail Change Address On Veh Reg,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-26,Risk of Violence,7,Medium,2013-09-26,2015-10-01,2015-10-19,2,0,97,1,1 +9592,patrick salcedo,patrick,salcedo,2013-09-29,Male,1990-07-08,25,25 - 45,Caucasian,0,3,0,0,1,-1,2013-09-28 10:45:05,2013-09-29 01:47:16,13013648CF10A,2013-09-28,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-29,Risk of Violence,5,Medium,2013-09-29,2013-09-28,2013-09-29,1,0,915,0,0 +9593,carol hopkinson,carol,hopkinson,2013-02-11,Female,1969-08-14,46,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-11 06:08:31,2013-02-11 07:34:54,13002110CF10A,2013-02-11,,0,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-11,2013-02-11,0,0,1145,0,0 +9596,auguste joseph,auguste,joseph,2013-04-12,Male,1989-08-01,26,25 - 45,African-American,0,10,0,1,1,123,2013-08-13 07:50:29,2013-08-14 12:22:44,11003760CF10A,,2011-10-05,555,F,arrest case no charge,1,13011384CF10A,(F1),0,2013-08-13,Trafficking In Cocaine 28><200,2013-08-13,2013-08-14,,0,,,,,Risk of Recidivism,10,High,2013-04-12,Risk of Violence,6,Medium,2013-04-12,2013-08-13,2013-08-14,1,0,123,1,1 +9597,stephen jones,stephen,jones,2013-02-15,Male,1993-06-30,22,Less than 25,Caucasian,0,4,0,0,0,-1,2013-02-14 03:45:34,2013-02-15 08:13:09,13003260MM10A,2013-02-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-15,Risk of Violence,5,Medium,2013-02-15,2013-02-14,2013-02-15,0,0,1141,0,0 +9600,brian uva,brian,uva,2013-03-18,Male,1978-02-01,38,25 - 45,Caucasian,1,4,0,0,10,0,2013-03-18 03:51:57,2013-03-18 02:08:29,13003937CF10A,2013-03-18,,0,F,Burglary Structure Unoccup,1,14001909CF10A,(F3),,2013-11-01,Grand Theft in the 3rd Degree,,,,1,14000183CF10A,(F3),2014-01-05,Felony Battery (Dom Strang),Risk of Recidivism,4,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2015-03-31,2020-01-01,10,0,228,1,1 +9601,melina delgado,melina,delgado,2014-01-25,Female,1979-11-19,36,25 - 45,Hispanic,0,1,0,0,9,-1,2014-01-24 04:17:47,2014-01-25 02:04:06,14001052CF10A,2014-01-24,,1,F,Felony Driving While Lic Suspd,1,14005788MM10A,(M2),0,2014-04-05,Petit Theft,2014-04-05,2014-04-06,,0,,,,,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2014-04-05,2014-04-06,9,0,70,1,1 +9603,linda lebrun,linda,lebrun,2013-04-01,Female,1982-03-28,34,25 - 45,African-American,0,2,0,0,5,-1,2013-03-31 06:26:28,2013-04-09 11:12:28,13004612CF10A,2013-03-31,,1,F,Driving While License Revoked,1,14001723MM10A,(M1),,2013-12-22,Unlaw Use False Name/Identity,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-03-31,2013-04-09,5,8,265,1,1 +9604,tavaris evans,tavaris,evans,2014-07-30,Male,1998-01-20,18,Less than 25,African-American,5,5,0,2,4,7,2014-08-06 11:52:54,2014-08-30 02:57:59,14003350CF10A,,2014-03-14,138,F,arrest case no charge,1,14015168CF10A,(F3),,2014-09-28,Battery on Law Enforc Officer,,,,1,14015168CF10A,(F3),2014-09-28,Battery on Law Enforc Officer,Risk of Recidivism,5,Medium,2014-07-30,Risk of Violence,9,High,2014-07-30,2014-08-06,2014-08-30,4,0,7,0,1 +9606,alyssa garcia,alyssa,garcia,2013-08-10,Female,1989-11-19,26,25 - 45,Caucasian,0,6,0,0,3,-1,2013-08-09 07:27:19,2013-08-10 09:45:00,13011182CF10A,2013-08-09,,1,F,Possession Of Alprazolam,1,14002480MM10A,(M1),,2013-10-16,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-10,Risk of Violence,4,Low,2013-08-10,2014-05-15,2014-06-05,3,0,67,1,1 +9608,heather gregory,heather,gregory,2013-08-11,Female,1992-05-01,23,Less than 25,Caucasian,0,6,0,0,0,-1,2013-08-10 08:22:47,2013-08-22 05:29:02,13011233CF10A,2013-08-10,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-11,Risk of Violence,5,Medium,2013-08-11,2013-08-10,2013-08-22,0,11,964,0,0 +9609,katicia ortiz,katicia,ortiz,2013-12-18,Female,1984-01-10,32,25 - 45,Hispanic,0,5,0,1,8,-8,2013-12-10 07:35:56,2013-12-17 07:46:09,13022854MM10A,2013-12-10,,8,M,Prostitution/Lewd Act Assignation,1,14004491MM40A,(M1),,2014-10-23,Petit Theft $100- $300,,,,1,15008299CF10A,(M1),2015-06-27,Battery,Risk of Recidivism,5,Medium,2013-12-18,Risk of Violence,2,Low,2013-12-18,2013-12-10,2013-12-17,8,0,309,1,1 +9612,dominick dinitto,dominick,dinitto,2014-01-30,Male,1971-06-16,44,25 - 45,Caucasian,0,1,0,0,1,0,2014-01-30 04:51:13,2014-01-30 10:00:28,14003794MU10A,2014-01-30,,0,M,Driving Under The Influence,1,14048601TC40A,(M2),,2014-07-15,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-30,Risk of Violence,1,Low,2014-01-30,2014-01-30,2014-01-30,1,0,166,1,1 +9613,richard kerwit,richard,kerwit,2013-04-15,Male,1963-01-25,53,Greater than 45,Caucasian,0,4,0,0,9,-1,2013-04-14 05:05:29,2013-08-10 04:59:29,13005359CF10A,2013-04-14,,1,F,Grand Theft in the 3rd Degree,1,13006457CF10A,(F3),,2013-05-03,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-15,Risk of Violence,7,Medium,2013-04-15,2013-04-14,2013-08-10,9,0,18,1,1 +9616,antwan brooks,antwan,brooks,2013-01-30,Male,1989-03-07,27,25 - 45,African-American,0,5,0,0,6,841,2015-05-21 02:06:14,2015-09-17 06:23:15,12016985CF10A,2012-09-25,,127,F,Grand Theft In The 3Rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-30,Risk of Violence,5,Medium,2013-01-30,2015-05-21,2015-09-17,6,0,841,0,0 +9617,charles allen,charles,allen,2014-09-28,Male,1989-03-17,27,25 - 45,African-American,0,4,0,0,4,0,2014-09-28 03:54:48,2014-09-29 03:38:38,14013117CF10A,2014-09-28,,0,F,Poss Pyrrolidinovalerophenone,1,15001462TC10A,(M2),0,2015-01-13,Operating W/O Valid License,2015-01-13,2015-01-14,,0,,,,,Risk of Recidivism,4,Low,2014-09-28,Risk of Violence,2,Low,2014-09-28,2015-01-13,2015-01-14,4,1,107,1,1 +9618,jeremy davis,jeremy,davis,2013-02-22,Male,1990-08-20,25,25 - 45,Caucasian,0,6,0,0,2,0,2013-02-22 01:53:57,2013-02-22 09:26:25,13002692CF10A,2013-02-22,,0,F,Possession of Cocaine,1,15065210TC40A,(M2),,2015-09-27,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-22,Risk of Violence,7,Medium,2013-02-22,2013-02-22,2013-02-22,2,0,947,1,0 +9619,michael conklin,michael,conklin,2013-08-06,Male,1968-04-19,48,Greater than 45,Caucasian,0,6,0,0,18,48,2013-09-23 02:54:38,2014-02-04 06:27:08,13007251CF10A,2013-05-21,,77,F,Felony Petit Theft,1,14009261CF10A,(F3),0,2014-07-06,Possession Burglary Tools,2014-07-06,2015-03-26,,0,,,,,Risk of Recidivism,6,Medium,2013-08-06,Risk of Violence,1,Low,2013-08-06,2013-09-23,2014-02-04,18,0,48,0,1 +9620,ener benitez,ener,benitez,2014-11-12,Male,1996-10-26,19,Less than 25,Caucasian,0,10,1,3,1,-1,2014-11-11 06:37:47,2014-11-19 09:44:57,14015120CF10A,2014-11-11,,1,F,Possession of Cocaine,1,15000583MM10A,(M1),,2015-01-15,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,10,High,2014-11-12,Risk of Violence,10,High,2014-11-12,2014-12-13,2014-12-13,1,7,31,0,1 +9621,philip lawson,philip,lawson,2013-04-21,Male,1963-04-13,53,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-04-20 04:59:18,2013-05-01 05:05:32,13005656CF10A,2013-04-20,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-21,Risk of Violence,1,Low,2013-04-21,2013-04-20,2013-05-01,0,10,1076,0,0 +9624,karl jean-francois,karl,jean-francois,2013-02-04,Male,1977-03-05,39,25 - 45,African-American,0,3,0,0,0,-3,2013-02-01 03:49:12,2013-02-02 01:43:29,13002371MM10A,2013-02-01,,3,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-04,Risk of Violence,4,Low,2013-02-04,2013-02-01,2013-02-02,0,0,1152,0,0 +9625,errol campbell,errol,campbell,2013-12-10,Male,1978-09-10,37,25 - 45,Other,0,4,0,0,2,-1,2013-12-09 01:26:29,2014-01-29 03:40:53,13017104CF10A,,2013-12-09,1,F,arrest case no charge,1,15010440MM10A,(M2),0,2015-10-05,Exposes Culpable Negligence,2015-10-05,2015-10-06,,1,15010440MM10A,(M1),2015-10-05,Battery,Risk of Recidivism,4,Low,2013-12-10,Risk of Violence,3,Low,2013-12-10,2015-10-05,2015-10-06,2,50,664,1,1 +9626,larry medlock,larry,medlock,2013-01-04,Male,1988-08-25,27,25 - 45,African-American,1,8,0,0,6,0,2013-01-04 01:40:15,2013-01-04 06:08:10,13000130CF10A,2013-01-04,,0,F,Possession of Cocaine,1,13009338TC40A,(M2),,2013-01-16,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-01-04,Risk of Violence,5,Medium,2013-01-04,2013-01-04,2013-01-04,6,0,12,1,1 +9627,bonnie grant,bonnie,grant,2014-06-11,Female,1986-10-13,29,25 - 45,Caucasian,0,4,0,0,1,-45,2014-04-27 11:04:23,2014-05-03 11:09:16,14005851CF10A,2014-04-27,,45,F,Possession of Hydromorphone,1,14013152CF10A,(F3),0,2014-09-29,Possession Of Heroin,2014-09-29,2014-09-30,,0,,,,,Risk of Recidivism,4,Low,2014-06-11,Risk of Violence,2,Low,2014-06-11,2014-09-29,2014-09-30,1,0,110,1,1 +9628,rondha paul,rondha,paul,2013-06-10,Female,1994-09-24,21,Less than 25,African-American,0,10,0,0,2,-10,2013-05-31 08:17:03,2013-06-01 08:46:09,13007776CF10A,2013-05-31,,10,F,Grand Theft in the 3rd Degree,1,13013644MM10A,(M1),0,2013-07-18,Petit Theft $100- $300,2013-07-18,2013-09-15,,0,,,,,Risk of Recidivism,10,High,2013-06-10,Risk of Violence,8,High,2013-06-10,2013-07-18,2013-09-15,2,0,38,1,1 +9629,johnny ortiz,johnny,ortiz,2014-02-12,Female,1991-11-13,24,Less than 25,African-American,0,9,0,0,7,-1,2014-02-11 05:51:08,2014-02-12 08:36:39,14001956CF10A,2014-02-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-12,Risk of Violence,7,Medium,2014-02-12,2014-02-11,2014-02-12,7,0,779,0,0 +9630,stephen hill,stephen,hill,2013-03-10,Male,1983-01-09,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-09 04:50:20,2013-03-10 06:55:18,13004783MM10A,2013-03-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-10,Risk of Violence,1,Low,2013-03-10,2013-03-09,2013-03-10,0,0,1118,0,0 +9631,kristen marciniak,kristen,marciniak,2013-05-21,Female,1992-04-06,24,Less than 25,Caucasian,0,4,0,4,1,-24,2013-04-27 08:34:23,2013-04-28 02:23:03,13008117MM10A,2013-04-27,,24,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-21,Risk of Violence,4,Low,2013-05-21,2013-04-27,2013-04-28,1,0,1046,0,0 +9632,larry naville,larry,naville,2014-03-17,Male,1969-08-18,46,Greater than 45,Caucasian,0,1,0,0,1,-4,2014-03-13 11:04:11,2014-03-14 09:08:46,14003632CF10A,2014-03-13,,4,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-13,2014-03-14,1,0,746,0,0 +9633,steve nieves,steve,nieves,2013-04-06,Male,1984-03-11,32,25 - 45,Hispanic,0,7,0,0,7,-1,2013-04-05 06:42:10,2013-04-06 10:10:09,13004927CF10A,2013-04-05,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-06,Risk of Violence,3,Low,2013-04-06,2013-04-05,2013-04-06,7,0,1091,0,0 +9634,carlos gonzalez-estrella,carlos,gonzalez-estrella,2013-03-25,Male,1991-09-08,24,Less than 25,Hispanic,0,3,0,0,2,-25,2013-02-28 01:07:46,2013-03-09 02:28:38,13003055CF10A,2013-02-28,,25,F,Lewd/Lasc Battery Pers 12+/<16,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,4,Low,2013-03-25,2013-02-28,2013-03-09,2,0,1103,0,0 +9635,wendy martinez,wendy,martinez,2013-03-25,Female,1977-09-18,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-24 11:21:20,2013-03-27 03:17:46,13004253CF10A,2013-03-24,,1,F,Burglary Assault/Battery Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-24,2013-03-27,0,2,1103,0,0 +9636,jason williams,jason,williams,2014-03-03,Male,1986-03-29,30,25 - 45,African-American,0,10,2,2,13,0,2014-03-03 05:50:58,2014-03-06 03:23:49,14003018CF10A,2014-03-03,,0,F,Grand Theft (Motor Vehicle),1,14006699CF10A,(F2),0,2014-05-14,Felon in Pos of Firearm or Amm,2014-05-14,2014-05-18,,0,,,,,Risk of Recidivism,10,High,2014-03-03,Risk of Violence,9,High,2014-03-03,2014-05-14,2014-05-18,13,3,72,1,1 +9640,travis battle,travis,battle,2014-12-14,Male,1989-10-14,26,25 - 45,African-American,0,9,2,2,27,-1,2014-12-13 04:48:31,2014-12-23 05:37:09,14017552MM10A,2014-12-13,,1,M,Battery,1,15004418CF10A,(F3),0,2015-04-04,Poss Meth/Diox/Meth/Amp (MDMA),2015-04-04,2015-06-25,,0,,,,,Risk of Recidivism,9,High,2014-12-14,Risk of Violence,10,High,2014-12-14,2015-01-31,2015-01-31,27,9,48,0,1 +9641,michael fazakerley,michael,fazakerley,2013-02-07,Male,1958-11-28,57,Greater than 45,Caucasian,0,1,0,0,2,-28,2013-01-10 01:43:25,2013-01-19 05:21:41,13000444CF10A,2013-01-10,,28,F,Lewd/Lasc Exhib Presence <16yr,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2013-01-10,2013-01-19,2,0,1149,0,0 +9643,shlomi asayag,shlomi,asayag,2013-08-01,Male,1973-01-30,43,25 - 45,Caucasian,0,1,0,0,0,-1,2013-07-31 03:08:47,2013-08-02 04:52:57,13010713CF10A,,2013-07-31,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-07-31,2013-08-02,0,1,974,0,0 +9644,samuel decoline,samuel,decoline,2013-03-13,Male,1993-10-23,22,Less than 25,African-American,0,6,0,0,0,0,2013-03-13 01:52:20,2013-03-13 02:19:25,13004946MM10A,2013-03-13,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-13,Risk of Violence,6,Medium,2013-03-13,2013-03-13,2013-03-13,0,0,1115,0,0 +9645,marius jimenez,marius,jimenez,2013-12-30,Male,1989-10-28,26,25 - 45,Caucasian,0,4,0,0,1,,,,12024312MM10A,,2013-02-10,323,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-30,Risk of Violence,3,Low,2013-12-30,,,1,0,823,0,0 +9646,lauren scott,lauren,scott,2013-08-06,Female,1987-12-21,28,25 - 45,African-American,0,9,0,0,9,-12,2013-07-25 10:07:15,2013-08-06 10:33:38,13008095MM10A,,2013-07-25,12,M,arrest case no charge,1,13017008CF10A,(F2),66,2013-11-05,Poss of Firearm by Convic Felo,2014-01-10,2014-11-26,,1,13017008CF10A,(F3),2013-11-05,Felony Battery,Risk of Recidivism,9,High,2013-08-06,Risk of Violence,9,High,2013-08-06,2014-11-26,2015-01-01,9,0,91,1,1 +9648,john buchheit,john,buchheit,2013-02-16,Male,1965-03-25,51,Greater than 45,Caucasian,0,4,0,0,3,-1,2013-02-15 09:25:26,2013-02-22 07:32:22,15001238CF10A,2013-02-15,,1,F,Felony DUI (level 3),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-16,Risk of Violence,3,Low,2013-02-16,2015-02-24,2015-02-24,3,6,738,0,0 +9651,efrain garcia,efrain,garcia,2014-03-13,Male,1974-05-18,41,25 - 45,Hispanic,0,1,0,0,3,-1,2014-03-12 09:03:38,2014-03-13 10:10:37,14003535CF10A,2014-03-12,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-13,Risk of Violence,1,Low,2014-03-13,2014-03-12,2014-03-13,3,0,750,0,0 +9653,jonathan rahm,jonathan,rahm,2013-01-26,Male,1992-02-15,24,Less than 25,Caucasian,0,7,0,0,1,-1,2013-01-25 07:16:34,2013-01-26 07:21:49,13001245CF10A,2013-01-25,,1,F,Del Cannabis For Consideration,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-26,Risk of Violence,5,Medium,2013-01-26,2013-01-25,2013-01-26,1,0,1161,0,0 +9654,joshua beach,joshua,beach,2013-10-13,Male,1968-04-19,48,Greater than 45,African-American,0,2,0,0,3,-1,2013-10-12 05:11:50,2013-10-13 07:23:52,13014305CF10A,2013-10-12,,1,F,Child Abuse,1,14002640TC40A,(M2),,2013-12-21,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-13,Risk of Violence,1,Low,2013-10-13,2013-10-12,2013-10-13,3,0,69,1,1 +9655,dario moscoso,dario,moscoso,2014-07-20,Male,1989-05-26,26,25 - 45,Caucasian,0,3,0,0,0,-1,2014-07-19 04:58:02,2014-07-21 01:33:16,14026264MU10A,2014-07-19,,1,M,Driving License Suspended,1,14032743MU10A,(M2),,2014-09-10,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2014-07-20,Risk of Violence,3,Low,2014-07-20,2014-07-19,2014-07-21,0,1,52,1,1 +9656,sidney henry,sidney,henry,2013-12-28,Male,1984-04-20,31,25 - 45,African-American,0,2,0,0,6,0,2013-12-28 07:07:14,2013-12-29 02:49:45,14000113CF10A,2013-12-28,,0,F,Felony Driving While Lic Suspd,1,15006960TC20A,(M2),,2015-01-16,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-28,Risk of Violence,2,Low,2013-12-28,2013-12-28,2013-12-29,6,1,384,1,1 +9658,travis taylor,travis,taylor,2013-02-03,Male,1988-09-10,27,25 - 45,African-American,1,10,2,1,6,-1,2013-02-02 06:25:19,2013-02-03 06:39:00,12058249TC10A,,2013-02-02,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-03,Risk of Violence,10,High,2013-02-03,2013-07-12,2013-07-20,6,0,159,0,0 +9659,rabe janvier,rabe,janvier,2014-02-03,Male,1990-08-20,25,25 - 45,African-American,0,4,0,0,0,-1,2014-02-02 05:51:39,2014-02-03 01:14:41,14001814MM10A,2014-02-02,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-03,Risk of Violence,4,Low,2014-02-03,2015-05-04,2015-05-19,0,0,455,0,0 +9662,duane stephan,duane,stephan,2013-05-14,Male,1959-10-04,56,Greater than 45,Caucasian,0,3,0,0,3,0,2013-05-14 03:48:04,2013-05-14 08:07:48,13009351MM10A,2013-05-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-14,Risk of Violence,2,Low,2013-05-14,2013-05-14,2013-05-14,3,0,1053,0,0 +9663,brenzina jones,brenzina,jones,2014-01-06,Female,1987-02-09,29,25 - 45,African-American,0,4,0,0,1,-1,2014-01-05 10:19:57,2014-01-07 03:49:53,14000199MM10A,2014-01-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-06,Risk of Violence,3,Low,2014-01-06,2014-01-05,2014-01-07,1,1,816,0,0 +9664,carrie hewett,carrie,hewett,2014-08-27,Female,1985-07-25,30,25 - 45,Caucasian,0,3,0,0,3,-1,2014-08-26 05:40:32,2014-08-26 09:02:50,14011046CF10A,,2014-08-26,1,F,arrest case no charge,1,16000513CF10A,(F3),0,2016-01-13,Grand Theft in the 3rd Degree,2016-01-13,2016-01-16,,0,,,,,Risk of Recidivism,3,Low,2014-08-27,Risk of Violence,1,Low,2014-08-27,2016-01-13,2016-01-16,3,0,504,1,1 +9666,kentravian knox,kentravian,knox,2013-04-10,Male,1994-10-06,21,Less than 25,African-American,0,8,0,0,0,-1,2013-04-09 02:31:10,2013-04-11 05:08:54,13005094CF10A,2013-04-09,,1,F,Attempted Robbery No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-10,Risk of Violence,9,High,2013-04-10,2015-05-06,2015-05-06,0,1,756,0,0 +9667,cameron keintz,cameron,keintz,2013-07-22,Male,1994-01-05,22,Less than 25,Caucasian,0,4,0,0,1,-2,2013-07-20 07:21:10,2013-07-21 01:46:41,13011867CF10A,2013-07-20,,2,F,Burglary Conveyance Unoccup,1,13010646CF10A,(F3),0,2013-07-30,Grand Theft in the 3rd Degree,2013-07-30,2013-07-31,,0,,,,,Risk of Recidivism,4,Low,2013-07-22,Risk of Violence,5,Medium,2013-07-22,2013-07-30,2013-07-31,1,0,8,1,1 +9668,janez dickens,janez,dickens,2013-09-24,Female,1988-02-01,28,25 - 45,African-American,0,2,0,0,0,-1,2013-09-23 11:18:27,2013-09-24 09:19:53,13018159MM10A,2013-09-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-24,Risk of Violence,2,Low,2013-09-24,2013-09-23,2013-09-24,0,0,920,0,0 +9669,larry hampton,larry,hampton,2014-02-06,Male,1980-09-26,35,25 - 45,African-American,0,1,0,0,2,0,2014-02-06 12:45:53,2014-02-06 09:34:19,14001659CF10A,2014-02-05,,1,F,Sell or Offer for Sale Counterfeit Goods,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-09-11,2014-09-18,2,0,217,0,0 +9670,kevin pazgarcia,kevin,pazgarcia,2013-03-15,Male,1993-02-22,23,Less than 25,Caucasian,0,2,0,0,0,-1,2013-03-14 04:59:27,2013-03-15 06:34:10,13003784CF10A,2013-03-14,,1,F,Fleeing or Eluding a LEO,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-15,Risk of Violence,5,Medium,2013-03-15,2013-03-14,2013-03-15,0,0,1113,0,0 +9672,robert larkins,robert,larkins,2014-02-11,Male,1967-07-27,48,Greater than 45,African-American,0,8,0,0,4,0,2014-02-11 02:21:28,2014-02-11 08:51:24,00004068CF10A,,2002-08-13,4200,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-11,Risk of Violence,4,Low,2014-02-11,2014-03-26,2014-03-29,4,0,43,0,0 +9674,dustin worley,dustin,worley,2014-04-19,Male,1993-07-17,22,Less than 25,Caucasian,0,8,1,2,4,-1,2014-04-18 10:38:48,2014-04-21 08:08:26,14006559MM10A,2014-04-18,,1,M,Battery,1,14063481TC40A,(M2),,2014-08-15,Reckless Driving,,,,0,,,,,Risk of Recidivism,8,High,2014-04-19,Risk of Violence,5,Medium,2014-04-19,2014-04-18,2014-04-21,4,2,118,1,1 +9676,dwayne simmons,dwayne,simmons,2013-02-17,Male,1978-04-27,37,25 - 45,African-American,0,9,0,0,2,0,2013-02-17 12:47:03,2013-08-06 06:12:09,10019497CF10A,,2013-02-17,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-17,Risk of Violence,7,Medium,2013-02-17,2013-08-06,2014-03-27,2,403,1139,0,0 +9677,venson joseph,venson,joseph,2014-02-04,Male,1982-10-14,33,25 - 45,African-American,0,1,0,0,0,-1,2014-02-03 01:54:41,2014-02-04 01:11:16,14001465CF10A,2014-02-02,,2,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-03-27,2014-04-02,0,0,51,0,0 +9681,brandon jackson,brandon,jackson,2014-03-02,Male,1993-02-01,23,Less than 25,African-American,0,7,0,1,5,-1,2014-03-01 09:22:26,2014-03-03 02:30:42,14002927CF10A,2014-03-01,,1,F,False Imprisonment,1,15003734MM10A,(M1),,2014-10-25,Battery,,,,1,15003734MM10A,(M1),2014-10-25,Battery,Risk of Recidivism,7,Medium,2014-03-02,Risk of Violence,4,Low,2014-03-02,2014-03-01,2014-03-03,5,1,237,1,1 +9685,jermaine taylor,jermaine,taylor,2014-06-22,Male,1994-04-07,22,Less than 25,African-American,0,7,0,1,0,-1,2014-06-21 09:10:14,2014-06-22 08:04:05,14009716MM10A,2014-06-21,,1,M,Battery,1,15024852TC30A,(M2),,2015-03-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2014-06-22,Risk of Violence,6,Medium,2014-06-22,2014-06-21,2014-06-22,0,0,280,1,1 +9686,ryan bassaragh,ryan,bassaragh,2014-01-16,Male,1992-03-27,24,Less than 25,African-American,0,4,0,0,0,0,2014-01-16 12:57:15,2014-01-17 02:06:24,14000719CF10A,2014-01-15,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-16,Risk of Violence,3,Low,2014-01-16,2014-01-16,2014-01-17,0,1,806,0,0 +9687,emmanuel knight,emmanuel,knight,2013-01-26,Male,1971-09-09,44,25 - 45,African-American,0,7,0,0,2,-1,2013-01-25 06:09:54,2013-01-30 08:27:06,12042413TC10A,,2013-01-25,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-26,Risk of Violence,4,Low,2013-01-26,2013-01-25,2013-01-30,2,4,1161,0,0 +9689,curtis green,curtis,green,2013-01-09,Male,1989-11-28,26,25 - 45,African-American,0,4,0,0,4,624,2014-09-25 11:04:26,2014-10-10 05:13:04,12022394MM10A,2012-10-29,,72,M,Fail Register Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-09,Risk of Violence,6,Medium,2013-01-09,2014-09-25,2014-10-10,4,0,624,0,0 +9690,samesha stringer,samesha,stringer,2013-08-17,Female,1989-08-04,26,25 - 45,African-American,0,2,0,0,0,-1,2013-08-16 11:58:17,2013-08-17 01:12:43,13015568MM10A,2013-08-16,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-17,Risk of Violence,2,Low,2013-08-17,2013-08-16,2013-08-17,0,0,958,0,0 +9691,alfred infante,alfred,infante,2013-10-25,Male,1986-12-16,29,25 - 45,African-American,0,6,0,0,2,-1,2013-10-24 05:41:59,2013-10-26 03:05:42,13002559CF10A,,2013-10-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2015-04-09,2015-04-23,2,1,531,0,0 +9693,carlos lara,carlos,lara,2013-05-28,Male,1989-05-09,26,25 - 45,Hispanic,0,2,0,1,0,-1,2013-05-27 07:12:07,2013-05-28 01:57:43,13007565CF10A,2013-05-27,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-27,2013-05-28,0,0,1039,0,0 +9695,asher roberti,asher,roberti,2013-05-28,Male,1985-10-07,30,25 - 45,Caucasian,0,1,0,0,1,-1,2013-05-27 11:20:28,2013-05-28 08:51:19,13010135MM10A,2013-05-27,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-05-27,2013-05-28,1,0,1039,0,0 +9698,danny rowe,danny,rowe,2013-04-18,Male,1993-02-21,23,Less than 25,African-American,0,6,0,0,1,-1,2013-04-17 08:54:18,2013-04-21 04:37:02,13005522CF10A,2013-04-17,,1,F,Burglary Unoccupied Dwelling,1,13009191CF10A,(F3),,2013-06-01,Crim Use of Personal ID Info,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-18,Risk of Violence,5,Medium,2013-04-18,2013-04-17,2013-04-21,1,3,44,1,1 +9699,reza mansourie,reza,mansourie,2013-02-22,Male,1973-12-26,42,25 - 45,Other,0,2,0,0,1,-2,2013-02-20 01:05:27,2013-02-21 07:53:53,13000639CF10A,2013-01-14,,39,F,Armed Trafficking in Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-22,Risk of Violence,2,Low,2013-02-22,2013-02-20,2013-02-21,1,0,1134,0,0 +9703,trena collier,trena,collier,2013-03-18,Female,1988-03-18,28,25 - 45,African-American,0,3,0,0,0,-1,2013-03-17 06:10:24,2013-03-19 11:32:14,13003882CF10A,2013-03-17,,1,F,Burglary Dwelling Assault/Batt,1,14005314MM10A,(M1),0,2014-03-27,Battery,2014-03-27,2014-03-28,,1,14005314MM10A,(M1),2014-03-27,Battery,Risk of Recidivism,3,Low,2013-03-18,Risk of Violence,3,Low,2013-03-18,2014-03-27,2014-03-28,0,1,374,1,1 +9704,terrell comete,terrell,comete,2014-01-11,Male,1995-11-09,20,Less than 25,African-American,0,3,0,0,0,-1,2014-01-10 04:49:46,2014-01-21 07:13:32,14000440CF10A,2014-01-10,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-11,Risk of Violence,6,Medium,2014-01-11,2014-03-13,2014-05-05,0,10,61,0,0 +9706,clifton huggins,clifton,huggins,2014-01-02,Female,1991-11-02,24,Less than 25,Caucasian,0,7,2,0,7,-1,2014-01-01 04:54:43,2014-01-02 08:10:06,14000051CF10A,2014-01-01,,1,M,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-02,Risk of Violence,4,Low,2014-01-02,2014-01-01,2014-01-02,7,0,820,0,0 +9707,kerrice picart,kerrice,picart,2014-03-06,Female,1979-05-18,36,25 - 45,Other,0,7,1,0,6,-21,2014-02-13 03:07:18,2014-02-13 08:19:31,14002071CF10A,2014-02-13,,21,F,Possession of Cocaine,1,16001707MM10A,(M1),0,2016-02-22,,2016-02-22,2016-02-27,,0,,,,,Risk of Recidivism,7,Medium,2014-03-06,Risk of Violence,2,Low,2014-03-06,2016-02-22,2016-02-27,6,0,718,1,1 +9708,widney joseph,widney,joseph,2014-06-01,Male,1978-09-20,37,25 - 45,African-American,0,2,0,0,6,-1,2014-05-31 10:40:13,2014-06-01 08:20:00,14007561CF10A,2014-05-31,,1,F,Felony Driving While Lic Suspd,1,14025151TC10A,(M2),0,2014-07-09,Driving License Suspended,2014-07-09,2014-07-10,,0,,,,,Risk of Recidivism,2,Low,2014-06-01,Risk of Violence,1,Low,2014-06-01,2014-07-09,2014-07-10,6,0,38,1,1 +9709,trimaine ward,trimaine,ward,2013-04-27,Female,1994-11-30,21,Less than 25,African-American,0,9,0,0,1,-1,2013-04-26 04:34:20,2013-04-30 05:46:51,13006044CF10A,2013-04-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-27,Risk of Violence,9,High,2013-04-27,2015-10-21,2015-11-22,1,3,907,0,0 +9710,devon ricks,devon,ricks,2014-07-20,Male,1988-11-25,27,25 - 45,African-American,0,5,0,0,8,-1,2014-07-19 11:52:29,2014-08-14 05:28:51,14011045CF10A,2014-07-19,,1,F,Felony Battery w/Prior Convict,1,14014315CF10A,(F3),56,2014-09-02,Felony Battery (Dom Strang),2014-10-28,2015-01-27,,1,14014315CF10A,(F3),2014-09-02,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2014-07-20,Risk of Violence,6,Medium,2014-07-20,2014-07-19,2014-08-14,8,25,44,1,1 +9712,norman clare,norman,clare,2013-08-27,Male,1990-03-26,26,25 - 45,African-American,0,4,0,0,2,-1,2013-08-26 11:16:52,2013-08-27 06:56:32,13012026CF10A,2013-08-26,,1,F,Fleeing Or Attmp Eluding A Leo,1,13015788CF10A,(M1),0,2013-11-13,Possess Drug Paraphernalia,2013-11-13,2013-11-14,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,3,Low,2013-08-27,2013-11-13,2013-11-14,2,0,78,1,1 +9713,anthony pirolo,anthony,pirolo,2013-10-13,Male,1973-04-25,42,25 - 45,Caucasian,0,1,0,0,0,0,2013-10-13 01:34:58,2013-10-19 08:32:01,13019356MM10A,2013-10-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-13,Risk of Violence,1,Low,2013-10-13,2013-10-13,2013-10-19,0,6,901,0,0 +9714,willie lofton,willie,lofton,2014-01-04,Male,1992-06-14,23,Less than 25,African-American,0,10,0,0,8,-1,2014-01-03 10:20:12,2014-01-06 08:02:55,14000126CF10A,2014-01-03,,1,F,Grand Theft in the 3rd Degree,1,15001766MM10A,(M1),0,2015-01-28,Petit Theft $100- $300,2015-01-28,2015-01-29,,0,,,,,Risk of Recidivism,10,High,2014-01-04,Risk of Violence,6,Medium,2014-01-04,2014-03-17,2014-03-24,8,2,72,0,1 +9715,sandro sampaio,sandro,sampaio,2013-12-02,Male,1973-02-11,43,25 - 45,Caucasian,0,1,0,0,1,-131,2013-07-24 12:44:03,2013-07-25 05:00:04,13008010CF10A,,2013-07-24,131,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-07-24,2013-07-25,1,0,851,0,0 +9717,irina rogina,irina,rogina,2014-02-12,Female,1961-01-19,55,Greater than 45,Caucasian,0,1,0,0,0,-3,2014-02-09 09:45:01,2014-02-10 09:40:24,14002242MM10A,2014-02-09,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-02-09,2014-02-10,0,0,779,0,0 +9720,frederick estey,frederick,estey,2013-01-03,Male,1977-05-12,38,25 - 45,Caucasian,0,3,0,0,0,53,2013-02-25 02:31:22,2013-02-25 11:33:30,12018767CF10A,2012-12-28,,6,F,Possession Of Alprazolam,1,13003926MM10A,(M2),0,2013-02-25,Susp Drivers Lic 1st Offense,2013-02-25,2013-02-25,,0,,,,,Risk of Recidivism,3,Low,2013-01-03,Risk of Violence,3,Low,2013-01-03,2013-02-25,2013-02-25,0,0,53,0,1 +9722,carson seavey,carson,seavey,2013-10-23,Male,1991-04-21,24,Less than 25,Caucasian,0,6,0,0,1,-1,2013-10-22 06:22:21,2013-10-26 05:10:00,13014771CF10A,,2013-10-22,1,F,arrest case no charge,1,15013031CF10A,(F3),,2015-10-08,Burglary Conveyance Unoccup,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-23,Risk of Violence,4,Low,2013-10-23,2013-10-22,2013-10-26,1,3,715,1,1 +9723,ahkeen moore,ahkeen,moore,2013-05-03,Male,1992-06-17,23,Less than 25,African-American,0,4,0,0,0,0,2013-05-03 03:57:46,2013-05-04 03:31:44,13008888MM10A,2013-05-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-03,Risk of Violence,6,Medium,2013-05-03,2013-05-03,2013-05-04,0,1,1064,0,0 +9724,gloria moses,gloria,moses,2013-04-27,Female,1951-12-12,64,Greater than 45,African-American,0,1,0,0,0,-1,2013-04-26 07:02:44,2013-04-30 08:30:10,13006819CF10A,2013-04-26,,1,F,Solicit Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-26,2013-04-30,0,3,1070,0,0 +9725,roland voltaire,roland,voltaire,2013-09-23,Male,1967-10-04,48,Greater than 45,Other,0,1,0,0,0,-1,2013-09-22 05:49:43,2013-09-24 04:27:36,13018051MM10A,2013-09-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-22,2013-09-24,0,1,921,0,0 +9727,robert montgomery,robert,montgomery,2013-02-19,Male,1983-07-14,32,25 - 45,African-American,0,5,1,2,11,805,2015-05-05 01:17:06,2015-05-06 05:23:02,12012449CF10A,2012-08-23,,180,F,Driving While License Revoked,1,15002675TC30A,(M2),,2014-12-30,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-19,Risk of Violence,4,Low,2013-02-19,2015-08-30,2015-11-17,11,0,679,1,1 +9729,secunda tharpe,secunda,tharpe,2013-02-22,Female,1976-06-30,39,25 - 45,African-American,0,5,0,0,0,0,2013-02-22 12:24:36,2013-04-21 04:55:49,13002673CF10A,2013-02-21,,1,F,Grand Theft (Motor Vehicle),1,15004783CF10A,(F3),,2015-04-11,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-22,Risk of Violence,2,Low,2013-02-22,2013-10-17,2014-04-12,0,58,237,0,1 +9730,joshua simons,joshua,simons,2013-05-26,Male,1986-02-25,30,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-25 09:00:36,2013-05-26 08:33:54,13010048MM10A,2013-05-25,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-26,Risk of Violence,3,Low,2013-05-26,2013-05-25,2013-05-26,0,0,1041,0,0 +9731,jessica harrold,jessica,harrold,2014-01-07,Female,1994-01-24,22,Less than 25,African-American,0,4,0,0,1,-3,2014-01-04 01:34:33,2014-01-04 01:28:25,14000152MM10A,2014-01-03,,4,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-07,Risk of Violence,4,Low,2014-01-07,2014-01-04,2014-01-04,1,0,815,0,0 +9732,dylan cartwright,dylan,cartwright,2014-10-14,Male,1995-06-15,20,Less than 25,African-American,0,6,0,0,2,0,2014-10-14 03:01:08,2014-12-11 10:14:47,14013826CF10A,,2014-10-14,0,F,arrest case no charge,1,15011988TC40A,(M2),,2015-02-21,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,6,Medium,2014-10-14,Risk of Violence,7,Medium,2014-10-14,2014-10-14,2014-12-11,2,58,130,1,1 +9733,jarny cetoute,jarny,cetoute,2013-11-05,Male,1995-02-26,21,Less than 25,African-American,0,4,0,0,0,-1,2013-11-04 03:52:02,2013-11-08 09:12:43,13015371CF10A,2013-11-04,,1,F,Grand Theft in the 3rd Degree,1,13015907CF10A,(F2),0,2013-11-15,Burglary Unoccupied Dwelling,2013-11-15,2013-11-16,,0,,,,,Risk of Recidivism,4,Low,2013-11-05,Risk of Violence,7,Medium,2013-11-05,2013-11-15,2013-11-16,0,3,10,1,1 +9734,zachary cato,zachary,cato,2013-10-17,Male,1991-11-01,24,Less than 25,Caucasian,0,4,0,0,0,0,2013-10-17 02:19:04,2013-10-17 07:42:29,13014548CF10A,2013-10-17,,0,F,Poss Meth/Diox/Meth/Amp (MDMA),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-17,Risk of Violence,5,Medium,2013-10-17,2013-10-17,2013-10-17,0,0,897,0,0 +9735,mario garcia,mario,garcia,2013-09-20,Male,1966-09-05,49,Greater than 45,Hispanic,0,1,0,0,2,-40,2013-08-11 11:18:34,2013-09-20 11:58:23,13015162MM10A,2013-08-11,,40,M,Petit Theft,1,16000454MM30A,(M1),,2016-03-01,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-08-11,2013-09-20,2,0,893,1,0 +9737,john navarro,john,navarro,2013-12-23,Male,1965-10-08,50,Greater than 45,Caucasian,0,1,0,0,2,-32,2013-11-21 07:33:28,2013-11-22 08:30:22,13016172CF10A,2013-11-21,,32,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-11-21,2013-11-22,2,0,830,0,0 +9738,deneil merritt,deneil,merritt,2013-04-29,Male,1986-01-24,30,25 - 45,African-American,0,7,0,0,3,-1,2013-04-28 04:58:10,2013-11-20 09:13:09,13008172MM10A,2013-04-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-29,Risk of Violence,7,Medium,2013-04-29,2013-04-28,2013-11-20,3,205,1068,0,0 +9739,scottie jackson,scottie,jackson,2014-05-30,Male,1964-11-29,51,Greater than 45,African-American,0,8,0,0,12,21,2014-06-20 11:16:45,2014-11-19 02:03:02,13017871CF10A,2013-12-27,,154,F,Possession of Cocaine,1,15011952MM10A,(M1),,2015-11-16,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2014-05-30,Risk of Violence,8,High,2014-05-30,2014-06-20,2014-11-19,12,0,21,0,1 +9740,marcus lane,marcus,lane,2013-05-16,Male,1995-03-03,21,Less than 25,African-American,0,9,2,0,2,111,2013-09-04 09:05:35,2013-10-22 09:02:34,13004884CF10A,2012-11-24,,173,M,Dealing In Stolen Property,1,13012477CF10A,(M1),0,2013-09-04,Resist/Obstruct W/O Violence,2013-09-04,2013-10-22,,1,13012477CF10A,(M1),2013-09-04,Battery,Risk of Recidivism,9,High,2013-05-16,Risk of Violence,8,High,2013-05-16,2013-09-04,2013-10-22,2,0,111,1,1 +9741,antron franklin,antron,franklin,2013-12-26,Male,1994-12-12,21,Less than 25,African-American,1,10,0,2,1,-1,2013-12-25 06:34:10,2013-12-27 06:20:00,13017157CF10A,,2013-12-25,1,F,arrest case no charge,1,15006450CF10A,(F3),,2015-05-18,Possession Burglary Tools,,,,0,,,,,Risk of Recidivism,10,High,2013-12-26,Risk of Violence,10,High,2013-12-26,2014-01-10,2014-04-24,1,1,15,0,1 +9743,lafrance telon,lafrance,telon,2013-09-12,Male,1984-10-05,31,25 - 45,African-American,0,10,0,0,1,-1,2013-09-11 03:42:34,2013-09-12 01:29:57,13015178CF10A,2013-09-11,,1,F,Poss Unlaw Issue Driver Licenc,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-12,Risk of Violence,6,Medium,2013-09-12,2013-12-27,2014-01-14,1,0,106,0,0 +9745,taric hunter,taric,hunter,2013-02-17,Male,1992-07-30,23,Less than 25,African-American,0,7,0,0,2,-1,2013-02-16 06:08:37,2013-02-20 05:21:23,13003360MM10A,2013-02-16,,1,M,Trespass On School Grounds,1,13018756MM10A,(M1),,2013-07-27,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-17,Risk of Violence,7,Medium,2013-02-17,2013-02-16,2013-02-20,2,3,160,1,1 +9746,luis valdez,luis,valdez,2013-02-27,Male,1992-11-30,23,Less than 25,Hispanic,0,7,0,0,0,-1,2013-02-26 01:06:53,2013-02-27 01:44:17,13004001MM10A,2013-02-26,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-27,Risk of Violence,8,High,2013-02-27,2013-02-26,2013-02-27,0,0,1129,0,0 +9747,calvin mcdougle,calvin,mcdougle,2013-11-16,Male,1984-01-20,32,25 - 45,African-American,0,4,0,0,4,-1,2013-11-15 06:14:29,2013-11-16 08:19:43,13015906CF10A,2013-11-15,,1,F,Burglary Unoccupied Dwelling,1,15046327TC20A,(M2),,2015-08-14,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-16,Risk of Violence,2,Low,2013-11-16,2013-11-15,2013-11-16,4,0,636,1,1 +9748,trevor lamons,trevor,lamons,2013-02-07,Male,1987-09-19,28,25 - 45,African-American,0,6,0,0,11,-1,2013-02-06 02:17:29,2013-02-08 07:30:37,13005470CF10A,2013-02-06,,1,F,Neglect Child / No Bodily Harm,1,14016007CF10A,(F3),,2013-10-17,Burglary Conveyance Unoccup,,,,1,14013277MM10A,(M1),2014-07-24,Battery,Risk of Recidivism,6,Medium,2013-02-07,Risk of Violence,5,Medium,2013-02-07,2013-02-06,2013-02-08,11,1,252,1,1 +9749,david aldridge,david,aldridge,2013-03-19,Male,1965-05-03,50,Greater than 45,Caucasian,1,10,0,0,16,-68,2013-01-10 08:07:39,2013-03-18 11:23:29,12008280CF10A,,2013-01-10,68,F,arrest case no charge,1,13020685MM10A,(M1),,2013-11-02,Tresspass in Struct/Convey Occupy,,,,0,,,,,Risk of Recidivism,10,High,2013-03-19,Risk of Violence,7,Medium,2013-03-19,2013-11-02,2013-11-03,16,0,228,1,1 +9750,ferris finley,ferris,finley,2014-02-15,Male,1992-02-05,24,Less than 25,African-American,0,2,0,1,0,-1,2014-02-14 01:26:06,2014-02-15 08:43:50,14002142CF10A,2014-02-14,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-15,Risk of Violence,4,Low,2014-02-15,2014-02-14,2014-02-15,0,0,776,0,0 +9752,shakiria thompkins,shakiria,thompkins,2014-12-07,Female,1996-04-26,19,Less than 25,African-American,0,4,0,0,1,-1,2014-12-06 04:25:55,2014-12-08 09:29:05,14016241CF10A,,2014-12-06,1,F,arrest case no charge,1,15000677MM30A,(M2),,2015-03-15,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2014-12-07,Risk of Violence,5,Medium,2014-12-07,2014-12-06,2014-12-08,1,1,98,1,1 +9753,imad cherif,imad,cherif,2013-11-27,Male,1984-07-29,31,25 - 45,Other,0,1,0,0,1,0,2013-11-27 03:46:11,2013-11-28 02:38:00,13022266MM10A,2013-11-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-27,Risk of Violence,1,Low,2013-11-27,2013-11-27,2013-11-28,1,1,856,0,0 +9754,edward durizil,edward,durizil,2013-02-20,Male,1987-02-04,29,25 - 45,African-American,0,4,0,0,3,0,2013-02-20 01:28:43,2013-02-20 01:32:44,13002610CF10A,,2013-02-19,1,F,arrest case no charge,1,14008889CF10A,(F2),1,2014-06-26,Aggravated Battery / Pregnant,2014-06-27,2014-06-28,,1,14008889CF10A,(F2),2014-06-26,Aggravated Battery / Pregnant,Risk of Recidivism,4,Low,2013-02-20,Risk of Violence,3,Low,2013-02-20,2014-06-27,2014-06-28,3,0,491,1,1 +9755,leverron brown,leverron,brown,2013-12-02,Male,1974-10-29,41,25 - 45,African-American,0,6,0,0,6,-1,2013-12-01 04:32:59,2014-01-09 09:57:03,13016637CF10A,2013-12-01,,1,F,Grand Theft in the 3rd Degree,1,14008855MM10A,(M2),,2014-05-04,Petit Theft,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-02,Risk of Violence,2,Low,2013-12-02,2013-12-01,2014-01-09,6,38,153,1,1 +9756,wade grant,wade,grant,2013-11-08,Male,1988-03-30,28,25 - 45,African-American,0,3,0,0,4,-1,2013-11-07 07:17:15,2013-12-11 09:33:15,13021033MM10A,2013-11-07,,1,M,Battery,1,14013394MM10A,(M1),,2014-07-25,Battery,,,,1,14013394MM10A,(M1),2014-07-25,Battery,Risk of Recidivism,3,Low,2013-11-08,Risk of Violence,4,Low,2013-11-08,2013-11-07,2013-12-11,4,33,259,1,1 +9758,jonathan danovich,jonathan,danovich,2014-03-28,Male,1986-12-30,29,25 - 45,Caucasian,0,4,0,0,6,-1,2014-03-27 09:27:38,2014-03-28 01:15:07,14004354CF10A,2014-03-27,,1,F,Uttering a Forged Instrument,1,14011385CF10A,(M1),0,2014-08-20,Resist Merchant W Or W/O Viol,2014-08-20,2014-10-03,,0,,,,,Risk of Recidivism,4,Low,2014-03-28,Risk of Violence,2,Low,2014-03-28,2014-08-20,2014-10-03,6,0,145,1,1 +9759,douglas mackenzie,douglas,mackenzie,2013-02-14,Male,1966-09-06,49,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-02-13 05:22:26,2013-02-14 10:04:07,13002251CF10A,2013-02-13,,1,F,Offer Agree Secure/Lewd Act,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-14,Risk of Violence,2,Low,2013-02-14,2013-02-13,2013-02-14,0,0,1142,0,0 +9767,danny abadia,danny,abadia,2014-03-26,Male,1973-11-08,42,25 - 45,Caucasian,0,1,0,0,0,0,2014-03-26 12:42:13,2014-03-26 08:34:43,14005237MM10A,2014-03-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2014-03-26,2014-03-26,0,0,737,0,0 +9771,audwin lovinsky,audwin,lovinsky,2013-09-26,Male,1977-06-07,38,25 - 45,African-American,0,2,0,0,4,-1,2013-09-25 11:38:59,2013-09-26 07:54:40,13018314MM10A,2013-09-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,2,Low,2013-09-26,2013-11-20,2014-02-06,4,0,55,0,0 +9773,tevin soufferanc,tevin,soufferanc,2013-11-17,Male,1993-08-07,22,Less than 25,African-American,0,6,0,1,3,-1,2013-11-16 08:07:41,2013-12-02 09:03:52,13015950CF10A,2013-11-16,,1,F,Burglary Dwelling Occupied,1,14016052MM10A,(M1),0,2014-11-03,,2014-11-03,2014-12-06,,0,,,,,Risk of Recidivism,6,Medium,2013-11-17,Risk of Violence,7,Medium,2013-11-17,2014-11-03,2014-12-06,3,15,351,1,1 +9774,steve cramer,steve,cramer,2013-01-21,Male,1969-11-24,46,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-01-20 10:33:19,2013-02-27 05:23:34,13001375MM10A,2013-01-20,,1,M,Battery,1,14055230TC40A,(M2),,2014-08-02,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-21,Risk of Violence,2,Low,2013-01-21,2013-01-20,2013-02-27,0,37,558,1,1 +9776,domimick sarlo,domimick,sarlo,2013-10-22,Male,1952-08-10,63,Greater than 45,Caucasian,0,1,0,0,1,,,,02003090CF10A,,2013-10-10,12,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,,,1,0,892,0,0 +9777,craig williams,craig,williams,2013-11-11,Male,1978-04-11,38,25 - 45,African-American,0,3,0,0,0,-1,2013-11-10 04:15:23,2013-11-11 07:49:19,13015644CF10A,2013-11-10,,1,F,Cruelty Toward Child,1,15000122MM20A,(M2),,2014-12-12,Petit Theft,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-11,Risk of Violence,3,Low,2013-11-11,2013-11-10,2013-11-11,0,0,396,1,1 +9778,rueben smith,rueben,smith,2013-10-23,Male,1979-07-12,36,25 - 45,African-American,0,6,0,0,0,-1,2013-10-22 05:43:33,2013-10-23 01:34:32,13014732CF10A,2013-10-22,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-23,Risk of Violence,1,Low,2013-10-23,2013-10-22,2013-10-23,0,0,891,0,0 +9780,wymaneka allen,wymaneka,allen,2014-12-31,Female,1988-10-01,27,25 - 45,African-American,0,7,1,0,10,-58,2014-11-03 10:12:05,2014-11-22 05:18:44,14061977TC20A,2014-09-04,,118,M,Driving License Suspended,1,15018563TC30A,(M2),,2015-03-04,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2014-12-31,Risk of Violence,5,Medium,2014-12-31,2014-11-03,2014-11-22,10,0,63,1,1 +9781,jermaine garland,jermaine,garland,2013-08-27,Male,1993-10-19,22,Less than 25,Caucasian,0,9,0,0,6,-1,2013-08-26 09:12:08,2013-08-27 07:05:54,13012032CF10A,2013-08-26,,1,F,Crimin Mischief Damage $1000+,1,13045599TC10A,(M2),0,2013-11-10,Operating W/O Valid License,2013-11-10,2013-11-10,,0,,,,,Risk of Recidivism,9,High,2013-08-27,Risk of Violence,7,Medium,2013-08-27,2013-09-13,2013-09-14,6,0,17,0,1 +9782,timmie ivey,timmie,ivey,2013-02-28,Male,1986-09-23,29,25 - 45,African-American,0,10,0,0,11,-1,2013-02-27 10:06:03,2013-02-28 07:41:24,13004079MM10A,2013-02-27,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-28,Risk of Violence,5,Medium,2013-02-28,2013-02-27,2013-02-28,11,0,1128,0,0 +9783,leroy battie,leroy,battie,2014-10-31,Male,1992-06-14,23,Less than 25,African-American,0,4,0,0,6,40,2014-12-10 05:28:47,2014-12-15 07:18:19,14002904CF10A,2014-02-28,,245,F,Grand Theft in the 3rd Degree,1,16000081MM10A,(M1),0,2016-01-03,Resist/Obstruct W/O Violence,2016-01-03,2016-01-07,,0,,,,,Risk of Recidivism,4,Low,2014-10-31,Risk of Violence,5,Medium,2014-10-31,2014-12-10,2014-12-15,6,0,40,0,1 +9784,sheldon jones,sheldon,jones,2013-04-22,Male,1976-05-18,39,25 - 45,African-American,0,2,0,0,2,-1,2013-04-21 04:21:02,2013-04-22 06:59:21,13007676MM10A,2013-04-21,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-21,2013-04-22,2,0,1075,0,0 +9785,vitali kosinskii,vitali,kosinskii,2013-05-14,Male,1968-08-07,47,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-05-13 09:39:07,2013-05-16 06:45:19,13009241MM10A,2013-05-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-05-13,2013-05-16,0,2,1053,0,0 +9786,samuel roberts,samuel,roberts,2013-02-23,Male,1990-01-14,26,25 - 45,African-American,0,10,0,0,7,-1,2013-02-22 05:14:38,2013-02-24 02:35:53,13002747CF10A,2013-02-22,,1,F,Grand Theft in the 3rd Degree,1,13023460TC30A,(M2),,2013-03-03,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,10,High,2013-02-23,Risk of Violence,8,High,2013-02-23,2013-02-22,2013-02-24,7,1,8,1,1 +9787,kadeidra bankston,kadeidra,bankston,2013-02-04,Female,1994-07-04,21,Less than 25,African-American,0,5,0,0,0,-4,2013-01-31 03:17:16,2013-02-04 12:31:23,13001584CF10A,2013-01-31,,4,F,Burglary Dwelling Assault/Batt,1,14044274TC40A,(M2),,2014-04-29,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-04,Risk of Violence,6,Medium,2013-02-04,2014-08-12,2014-08-19,0,0,449,1,1 +9788,john oneal,john,oneal,2013-03-26,Male,1961-02-25,55,Greater than 45,African-American,0,8,0,0,12,-40,2013-02-14 12:43:42,2013-03-15 03:27:58,08024134CF10A,,2013-02-14,40,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-26,Risk of Violence,6,Medium,2013-03-26,2015-01-14,2015-01-22,12,0,659,0,0 +9789,vitay joseph,vitay,joseph,2014-03-29,Male,1952-09-06,63,Greater than 45,African-American,0,1,0,0,2,-1,2014-03-28 11:14:31,2014-03-30 04:46:03,14005403MM10A,2014-03-28,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-29,Risk of Violence,1,Low,2014-03-29,2014-03-28,2014-03-30,2,1,734,0,0 +9790,daniel firmin,daniel,firmin,2013-12-26,Male,1988-05-12,27,25 - 45,African-American,0,2,0,0,2,-1,2013-12-25 11:06:09,2013-12-26 08:38:14,13017785CF10A,2013-12-25,,1,F,Possession of Cocaine,1,14020954TC10A,(M2),56,2014-05-24,Operating W/O Valid License,2014-07-19,2014-07-19,,0,,,,,Risk of Recidivism,2,Low,2013-12-26,Risk of Violence,2,Low,2013-12-26,2014-04-23,2014-04-23,2,0,118,0,1 +9791,dale griffin,dale,griffin,2014-03-30,Male,1960-09-10,55,Greater than 45,Caucasian,0,5,0,0,27,-1,2014-03-29 08:00:47,2014-03-31 03:18:41,14005435MM10A,2014-03-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-03-29,2014-03-31,27,1,733,0,0 +9793,kenneth gratz,kenneth,gratz,2014-02-25,Male,1958-12-23,57,Greater than 45,Caucasian,0,1,0,0,21,-33,2014-01-23 01:33:32,2014-02-13 12:39:06,14003379TC10A,,2014-01-23,33,M,arrest case no charge,1,14010759TC10A,(M2),,2014-03-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2015-12-14,2015-12-14,21,0,13,1,1 +9795,yan diaz-gomez,yan,diaz-gomez,2013-06-26,Male,1991-10-19,24,Less than 25,Hispanic,0,2,0,0,1,,,,13007446CF10A,2013-05-24,,33,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-26,Risk of Violence,4,Low,2013-06-26,,,1,0,1010,0,0 +9796,jean beldunord,jean,beldunord,2013-09-08,Male,1961-06-15,54,Greater than 45,Other,0,2,0,0,2,-1,2013-09-07 05:25:52,2013-09-08 06:43:55,13017074MM10A,2013-09-07,,1,M,Battery,1,15002042MM10A,(M1),0,2015-02-18,Battery,2015-02-18,2015-02-20,,1,15002042MM10A,(M1),2015-02-18,Battery,Risk of Recidivism,2,Low,2013-09-08,Risk of Violence,1,Low,2013-09-08,2015-02-18,2015-02-20,2,0,528,1,1 +9797,brandon youn,brandon,youn,2013-01-07,Male,1986-03-02,30,25 - 45,African-American,0,4,0,0,2,,,,13000279CF10A,2013-01-07,,0,F,Possession of Cocaine,1,13004333CF10A,(F1),,2013-03-25,Traffick Hydrocodone 4g><14g,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-07,Risk of Violence,3,Low,2013-01-07,,,2,0,77,1,1 +9798,nikko bethel,nikko,bethel,2014-01-31,Male,1989-08-18,26,25 - 45,African-American,0,6,1,0,3,,,,13013365MM10A,2013-01-27,,369,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-31,Risk of Violence,7,Medium,2014-01-31,,,3,0,791,0,0 +9799,christopher james,christopher,james,2014-11-26,Male,1990-04-15,26,25 - 45,Caucasian,0,5,0,0,0,-1,2014-11-25 10:53:47,2014-11-27 04:43:56,14015864CF10A,2014-11-25,,1,F,Harm Public Servant Or Family,1,15012930MM10A,(M1),0,2015-12-14,Resist/Obstruct W/O Violence,2015-12-14,2015-12-14,,0,,,,,Risk of Recidivism,5,Medium,2014-11-26,Risk of Violence,3,Low,2014-11-26,2015-12-14,2015-12-14,0,1,383,0,1 +9800,michael dicicco,michael,dicicco,2013-11-14,Male,1978-04-23,37,25 - 45,Caucasian,0,2,0,0,1,-9,2013-11-05 05:01:02,2013-11-06 01:55:26,13020891MM10A,2013-11-05,,9,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-05,2013-11-06,1,0,869,0,0 +9801,traveon ortiz,traveon,ortiz,2013-09-11,Male,1991-01-09,25,25 - 45,African-American,0,5,0,0,4,-170,2013-03-25 04:45:52,2013-03-29 05:47:05,13005831MM10A,2013-03-25,,170,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-11,Risk of Violence,8,High,2013-09-11,2013-03-25,2013-03-29,4,0,933,0,0 +9802,nicholas wright,nicholas,wright,2013-02-12,Male,1981-08-09,34,25 - 45,African-American,0,1,0,0,0,-1,2013-02-11 04:22:25,2013-02-12 07:48:00,13002127CF10A,2013-02-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-12,Risk of Violence,2,Low,2013-02-12,2014-06-23,2014-07-25,0,0,496,0,0 +9804,yvette calderon,yvette,calderon,2014-07-03,Female,1967-11-25,48,Greater than 45,Hispanic,0,1,0,0,4,-6,2014-06-27 05:16:22,2014-06-28 12:59:23,14008069CF10A,,2014-06-27,6,F,arrest case no charge,1,16002607MM10A,(M2),,2016-03-18,,,,,0,,,,,Risk of Recidivism,1,Low,2014-07-03,Risk of Violence,1,Low,2014-07-03,2014-06-27,2014-06-28,4,0,624,1,1 +9805,henry mcbride,henry,mcbride,2014-10-20,Male,1990-04-21,25,25 - 45,African-American,1,7,1,0,2,-1,2014-10-19 09:45:50,2014-12-08 08:36:29,14014105CF10A,2014-10-19,,1,F,Possession Of Methamphetamine,1,15004731CF10A,(F3),0,2015-04-10,Possession of Cocaine,2015-04-10,2015-05-13,,0,,,,,Risk of Recidivism,7,Medium,2014-10-20,Risk of Violence,6,Medium,2014-10-20,2015-04-10,2015-05-13,2,49,172,1,1 +9806,viccas harris,viccas,harris,2013-09-11,Male,1958-11-02,57,Greater than 45,Other,0,1,0,0,0,-1,2013-09-10 09:26:23,2013-09-11 01:40:45,13012804CF10A,2013-09-10,,1,F,Agg Assault W/int Com Fel Dome,1,16002027CF10A,(F3),0,2016-02-17,Felony Battery (Dom Strang),2016-02-17,2016-02-18,,1,16002027CF10A,(F3),2016-02-17,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2016-02-17,2016-02-18,0,0,889,1,0 +9808,giovanni de paola,giovanni,de paola,2013-07-24,Male,1969-09-30,46,Greater than 45,Caucasian,0,5,0,0,2,-55,2013-05-30 03:17:59,2013-05-30 01:14:43,13007722CF10A,2013-05-30,,55,F,"Poss 3,4 MDMA (Ecstasy)",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-24,Risk of Violence,2,Low,2013-07-24,2013-05-30,2013-05-30,2,0,982,0,0 +9809,bradley rodriguez,bradley,rodriguez,2014-08-07,Male,1994-08-18,21,Less than 25,Hispanic,0,3,0,0,0,-1,2014-08-06 08:12:37,2014-08-08 04:02:26,14010732CF10A,2014-08-06,,1,F,Burglary Conveyance Unoccup,1,15029137TC10A,(M2),,2015-10-23,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2014-08-07,Risk of Violence,5,Medium,2014-08-07,2014-08-06,2014-08-08,0,1,442,1,1 +9810,angel santiago,angel,santiago,2013-09-17,Male,1983-07-28,32,25 - 45,African-American,0,9,0,1,8,-1,2013-09-16 06:50:38,2013-09-17 07:08:30,13013071CF10A,2013-09-16,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-17,Risk of Violence,4,Low,2013-09-17,2014-04-07,2014-04-10,8,0,202,0,0 +9811,jasmine reynolds,jasmine,reynolds,2013-04-24,Female,1991-04-03,25,25 - 45,African-American,0,9,0,0,5,-1,2013-04-23 11:49:35,2013-04-24 07:42:26,13005838CF10A,2013-04-23,,1,F,Agg Battery Grt/Bod/Harm,1,13016663MM10A,(M2),0,2013-08-30,Petit Theft,2013-08-30,2013-09-07,,0,,,,,Risk of Recidivism,9,High,2013-04-24,Risk of Violence,5,Medium,2013-04-24,2013-08-30,2013-09-07,5,0,128,1,1 +9814,antoine cross,antoine,cross,2014-02-03,Male,1981-01-01,35,25 - 45,African-American,0,8,0,0,4,96,2014-05-10 09:42:39,2014-08-27 06:23:00,12011660CF10A,2012-08-09,,543,F,Possession of Cocaine,1,14006531CF10A,(F2),0,2014-05-10,Sexual Battery / Vict 12 Yrs +,2014-05-10,2014-08-27,,1,14006531CF10A,(F2),2014-05-10,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,8,High,2014-02-03,Risk of Violence,7,Medium,2014-02-03,2014-05-10,2014-08-27,4,0,96,1,1 +9815,nicole anderson,nicole,anderson,2014-03-06,Female,1982-08-12,33,25 - 45,African-American,0,3,0,0,2,-1,2014-03-05 03:53:31,2014-03-07 05:21:34,14003114CF10A,2014-03-05,,1,F,Grand Theft (Motor Vehicle),1,15065035TC30A,(M2),,2015-09-24,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-06,Risk of Violence,2,Low,2014-03-06,2014-03-05,2014-03-07,2,1,567,1,1 +9817,dwaine williams,dwaine,williams,2013-08-21,Male,1990-02-28,26,25 - 45,African-American,0,5,0,0,2,-1,2013-08-20 08:29:26,2013-09-11 05:35:26,13011672CF10A,2013-08-20,,1,F,Grand Theft in the 3rd Degree,1,15005964MM10A,(M1),74,2015-05-10,Battery,2015-07-23,2015-10-14,,1,15005964MM10A,(M1),2015-05-10,Battery,Risk of Recidivism,5,Medium,2013-08-21,Risk of Violence,6,Medium,2013-08-21,2014-10-30,2014-11-15,2,21,435,0,1 +9818,hans kaiser,hans,kaiser,2013-03-19,Male,1966-06-21,49,Greater than 45,Caucasian,0,5,0,0,10,302,2014-01-15 07:30:00,2014-02-27 06:30:52,13003939CF10A,2013-03-18,,1,F,Grand Theft in the 3rd Degree,1,13005340CF10A,(F3),,2013-04-13,Driving While License Revoked,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-19,Risk of Violence,4,Low,2013-03-19,2015-08-25,2015-11-05,10,0,25,1,1 +9820,craig reese,craig,reese,2013-05-08,Male,1987-02-03,29,25 - 45,African-American,0,4,0,0,2,-1,2013-05-07 03:17:19,2013-05-10 09:37:44,13008855MM10A,2013-05-07,,1,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-08,Risk of Violence,2,Low,2013-05-08,2013-05-07,2013-05-10,2,2,1059,0,0 +9822,ricky colon,ricky,colon,2013-03-16,Male,1988-02-22,28,25 - 45,Caucasian,0,4,0,0,6,0,2013-03-16 12:00:09,2013-03-18 07:35:27,13005289MM10A,,2013-03-16,0,M,arrest case no charge,1,14014539MM10A,(M1),0,2014-10-02,Possess Cannabis/20 Grams Or Less,2014-10-02,2014-10-03,,0,,,,,Risk of Recidivism,4,Low,2013-03-16,Risk of Violence,3,Low,2013-03-16,2013-04-29,2013-04-29,6,2,44,0,1 +9823,lorenzo brown,lorenzo,brown,2013-10-18,Male,1963-01-08,53,Greater than 45,African-American,0,5,0,0,20,-3,2013-10-15 06:39:17,2013-10-18 10:33:48,13014418CF10A,,2013-10-15,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-18,Risk of Violence,5,Medium,2013-10-18,2013-11-18,2014-04-04,20,0,31,0,0 +9824,juan oliver,juan,oliver,2013-03-11,Male,1959-01-12,57,Greater than 45,Hispanic,0,1,0,0,1,-15,2013-02-24 05:08:09,2013-02-25 07:21:44,13003831MM10A,2013-02-24,,15,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-02-24,2013-02-25,1,0,1117,0,0 +9826,quinnell elder,quinnell,elder,2014-02-12,Male,1986-11-06,29,25 - 45,African-American,0,10,1,0,3,-119,2013-10-16 09:53:56,2014-02-12 11:17:50,13013468CF10A,,2013-10-16,119,F,arrest case no charge,1,14008633CF10A,(F3),0,2014-06-23,Felony Battery w/Prior Convict,2014-06-23,2014-08-21,,1,14008633CF10A,(F3),2014-06-23,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2014-02-12,Risk of Violence,5,Medium,2014-02-12,2014-06-12,2014-06-21,3,0,120,0,1 +9827,nelson lopez,nelson,lopez,2013-04-16,Male,1988-11-07,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-15 06:32:03,2013-05-29 01:43:59,13005412CF10A,2013-04-15,,1,F,Burglary Dwelling Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-16,Risk of Violence,3,Low,2013-04-16,2013-04-15,2013-05-29,0,43,1081,0,0 +9830,dmitry marochnik,dmitry,marochnik,2014-01-24,Male,1968-01-16,48,Greater than 45,Caucasian,0,2,0,0,0,-1,2014-01-23 09:26:28,2014-01-24 09:36:51,14000979CF10A,2014-01-23,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-23,2014-01-24,0,0,798,0,0 +9831,victor chavez,victor,chavez,2014-10-01,Male,1986-10-13,29,25 - 45,Hispanic,0,2,0,0,0,0,2014-10-01 04:15:08,2014-10-04 09:16:33,14014448MM10A,2014-10-01,,0,M,Disorderly Conduct,1,15001634CF10A,(F2),0,2015-02-02,Aggravated Battery / Pregnant,2015-02-02,2015-02-04,,1,15001634CF10A,(F2),2015-02-02,Aggravated Battery / Pregnant,Risk of Recidivism,2,Low,2014-10-01,Risk of Violence,2,Low,2014-10-01,2015-02-02,2015-02-04,0,3,124,1,1 +9832,robert neftelberg,robert,neftelberg,2014-09-22,Male,1990-05-17,25,25 - 45,Caucasian,0,4,0,0,1,0,2014-09-22 03:22:32,2014-09-25 04:34:12,14014043MM10A,2014-09-22,,0,M,Battery,1,15005133MM10A,(M1),0,2015-05-07,Resist/Obstruct W/O Violence,2015-05-07,2015-05-08,,1,15005133MM10A,(M2),2015-05-07,Assault,Risk of Recidivism,4,Low,2014-09-22,Risk of Violence,4,Low,2014-09-22,2015-05-07,2015-05-08,1,3,227,1,1 +9833,william larson,william,larson,2013-05-04,Male,1948-04-24,67,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-03 11:25:26,2013-05-05 07:13:44,13006371CF10A,2013-05-03,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-05-03,2013-05-05,0,1,1063,0,0 +9834,gerod adderly,gerod,adderly,2013-11-16,Male,1987-02-19,29,25 - 45,African-American,0,5,0,1,2,0,2013-11-16 02:35:51,2013-11-16 07:53:22,13016141CF10A,2013-11-16,,0,M,Agg Fleeing and Eluding,1,16002390CF10A,(F2),1,2016-02-24,,2016-02-25,2016-02-25,,0,,,,,Risk of Recidivism,5,Medium,2013-11-16,Risk of Violence,3,Low,2013-11-16,2016-02-25,2016-02-25,2,0,830,1,0 +9835,marie scott,marie,scott,2013-05-23,Female,1962-05-18,53,Greater than 45,African-American,0,2,0,0,3,-1,2013-05-22 02:23:12,2013-05-24 09:54:10,13007307CF10A,2013-05-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-23,Risk of Violence,1,Low,2013-05-23,2013-05-22,2013-05-24,3,1,1044,0,0 +9837,james helvie,james,helvie,2013-07-26,Male,1992-07-02,23,Less than 25,Caucasian,0,5,0,0,1,-40,2013-06-16 02:09:50,2013-07-26 12:11:02,13008475CF10A,2013-06-15,,41,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-26,Risk of Violence,5,Medium,2013-07-26,2013-12-15,2014-04-15,1,0,142,0,0 +9838,edward mcclain,edward,mcclain,2013-03-18,Male,1966-09-26,49,Greater than 45,African-American,0,1,0,0,0,-4,2013-03-14 11:29:26,2013-03-15 07:01:59,13003785CF10A,2013-03-14,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-14,2013-03-15,0,0,1110,0,0 +9840,yvonne whorrie,yvonne,whorrie,2013-11-02,Female,1971-09-24,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-01 08:05:38,2013-11-02 01:19:24,13020658MM10A,2013-11-01,,1,M,Driving Under The Influence,1,16004931MU10A,(M1),0,2016-02-28,,2016-02-28,2016-02-29,,0,,,,,Risk of Recidivism,1,Low,2013-11-02,Risk of Violence,1,Low,2013-11-02,2016-02-28,2016-02-29,0,0,848,1,0 +9842,margarita simon,margarita,simon,2014-03-22,Female,1960-11-17,55,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-21 08:37:59,2014-03-22 01:21:06,14004030CF10A,2014-03-21,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-22,0,0,741,0,0 +9843,matthew butterfield,matthew,butterfield,2014-12-08,Male,1989-12-04,26,25 - 45,African-American,1,8,0,0,10,-1,2014-12-07 09:09:11,2014-12-09 10:26:04,14016268CF10A,2014-12-07,,1,F,Resist Officer w/Violence,1,15005827MM10A,(M1),,2015-05-10,Indecent Exposure,,,,0,,,,,Risk of Recidivism,8,High,2014-12-08,Risk of Violence,8,High,2014-12-08,2014-12-16,2015-09-10,10,1,153,1,1 +9844,john miranti,john,miranti,2014-07-08,Male,1964-11-01,51,Greater than 45,Caucasian,0,1,0,0,2,-64,2014-05-05 06:19:00,2014-07-08 01:57:36,14006285CF10A,2014-05-05,,64,F,Grand Theft in the 3rd Degree,1,15010833MM10A,(M1),0,2015-06-30,Extradition/Defendants,2015-06-30,2015-10-31,,0,,,,,Risk of Recidivism,1,Low,2014-07-08,Risk of Violence,1,Low,2014-07-08,2015-06-30,2015-10-31,2,0,357,1,1 +9845,sidney moody,sidney,moody,2013-12-31,Male,1969-10-27,46,Greater than 45,African-American,0,1,0,0,0,-1,2013-12-30 05:41:40,2013-12-31 01:23:54,13024001MM10A,2013-12-30,,1,M,Battery,1,16006860MU10A,(M1),0,2016-03-19,,2016-03-19,2016-03-19,,0,,,,,Risk of Recidivism,1,Low,2013-12-31,Risk of Violence,1,Low,2013-12-31,2016-03-19,2016-03-19,0,0,809,0,0 +9846,brian belgrod,brian,belgrod,2013-05-07,Male,1985-12-17,30,25 - 45,Caucasian,0,3,0,0,1,-1,2013-05-06 06:10:36,2013-05-07 01:19:32,13006481CF10A,2013-05-06,,1,F,Possession of Cocaine,1,13016434CF10A,(F3),,2013-09-10,"Deliver 3,4 Methylenediox",,,,0,,,,,Risk of Recidivism,3,Low,2013-05-07,Risk of Violence,2,Low,2013-05-07,2013-11-12,2013-11-26,1,0,126,1,1 +9847,sheara bryant,sheara,bryant,2014-06-23,Female,1968-03-13,48,Greater than 45,African-American,0,6,0,0,0,-1,2014-06-22 10:10:01,2014-07-02 03:07:22,14008618CF10A,2014-06-22,,1,F,Tampering With Physical Evidence,1,16001533MM40A,(M1),,2016-03-06,Battery,,,,1,16001533MM40A,(M1),2016-03-06,Battery,Risk of Recidivism,6,Medium,2014-06-23,Risk of Violence,1,Low,2014-06-23,2014-06-22,2014-07-02,0,9,622,1,1 +9851,robert watson,robert,watson,2014-04-01,Male,1938-07-29,77,Greater than 45,African-American,0,1,0,0,1,-1,2014-03-31 05:06:08,2014-04-02 12:46:17,04052533TC30A,2004-05-15,,3608,M,Driving License Suspended,1,16002278CF10A,(F3),0,2016-02-22,Aggravated Assault W/Dead Weap,2016-02-22,2016-02-23,,1,16002278CF10A,(F3),2016-02-22,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2014-04-01,Risk of Violence,1,Low,2014-04-01,2016-02-22,2016-02-23,1,1,692,1,1 +9852,dewayne curry,dewayne,curry,2013-09-13,Male,1995-02-14,21,Less than 25,African-American,0,10,2,2,2,-1,2013-09-12 11:37:23,2013-09-13 11:41:13,13012898CF10A,2013-09-12,,1,F,Grand Theft in the 3rd Degree,1,13015751CF10A,(F3),0,2013-11-10,Driving While License Revoked,2013-11-10,2013-11-10,,0,,,,,Risk of Recidivism,10,High,2013-09-13,Risk of Violence,7,Medium,2013-09-13,2013-11-10,2013-11-10,2,0,58,0,1 +9853,reinaldo rubio,reinaldo,rubio,2014-04-17,Male,1969-09-25,46,Greater than 45,Caucasian,0,6,0,0,11,-122,2013-12-16 04:17:00,2014-02-12 10:41:00,13017712CF10A,,2013-12-20,118,F,arrest case no charge,1,14013621CF10A,(F3),0,2014-10-09,Grand Theft in the 3rd Degree,2014-10-09,2014-12-09,,0,,,,,Risk of Recidivism,6,Medium,2014-04-17,Risk of Violence,2,Low,2014-04-17,2014-10-09,2014-12-09,11,0,175,1,1 +9854,terrtric doctor,terrtric,doctor,2013-10-12,Male,1962-02-28,54,Greater than 45,African-American,0,3,0,0,4,-1,2013-10-11 04:00:54,2013-10-14 05:36:08,13014274CF10A,2013-10-11,,1,F,Sex Batt Faml/Cust Vict 12-17Y,1,13016040CF10A,(F1),31,2013-10-15,Tampering with a Victim,2013-11-15,2015-04-21,,0,,,,,Risk of Recidivism,3,Low,2013-10-12,Risk of Violence,1,Low,2013-10-12,2013-10-11,2013-10-14,4,2,3,1,1 +9855,martin kildea,martin,kildea,2013-04-25,Male,1961-09-17,54,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-04-24 09:17:57,2013-04-25 01:20:58,13005886CF10A,2013-04-24,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-24,2013-04-25,3,0,1072,0,0 +9856,roderick edwards,roderick,edwards,2014-01-22,Male,1989-07-28,26,25 - 45,African-American,0,9,0,0,15,-1,2014-01-21 04:59:27,2014-03-05 04:11:04,14000874CF10A,,2014-01-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-22,Risk of Violence,6,Medium,2014-01-22,2014-01-21,2014-03-05,15,42,800,0,0 +9857,denzell mcfadden,denzell,mcfadden,2013-04-27,Male,1992-05-11,23,Less than 25,African-American,0,9,1,1,8,0,2013-04-27 05:08:36,2014-01-07 06:58:24,13006046CF10A,2013-04-27,,0,F,Burglary Structure Unoccup,1,13006283CF10A,(F3),,2013-04-30,Burglary Structure Unoccup,,,,0,,,,,Risk of Recidivism,9,High,2013-04-27,Risk of Violence,6,Medium,2013-04-27,2013-04-27,2014-01-07,8,0,3,1,1 +9858,jhonatan navasmejia,jhonatan,navasmejia,2013-04-18,Male,1988-07-12,27,25 - 45,Hispanic,0,2,0,0,1,-86,2013-01-22 03:25:30,2013-01-25 02:25:22,13001032CF10A,,2013-04-15,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-18,Risk of Violence,2,Low,2013-04-18,2014-01-30,2014-02-05,1,0,287,0,0 +9861,leonard ulloa,leonard,ulloa,2013-11-15,Male,1977-01-13,39,25 - 45,Caucasian,0,2,0,0,2,0,2013-11-15 03:22:59,2013-12-03 11:40:11,13006242CF10A,,2013-11-15,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-15,Risk of Violence,2,Low,2013-11-15,2013-11-15,2013-12-03,2,18,868,0,0 +9862,jose martinez,jose,martinez,2013-11-06,Male,1980-12-13,35,25 - 45,Hispanic,0,7,0,0,13,-1,2013-11-05 06:09:03,2013-11-09 09:07:35,13015408CF10A,2013-11-05,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-06,Risk of Violence,3,Low,2013-11-06,2013-11-05,2013-11-09,13,3,877,0,0 +9864,vaughn kellingbeck,vaughn,kellingbeck,2013-09-15,Male,1986-07-21,29,25 - 45,African-American,0,1,0,0,1,-1,2013-09-14 02:30:23,2013-09-15 01:33:56,13017545MM10A,2013-09-14,,1,M,Battery,1,14001538MM30A,(M1),,2014-09-15,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-15,Risk of Violence,2,Low,2013-09-15,2013-09-14,2013-09-15,1,0,365,1,1 +9865,shawn clarke,shawn,clarke,2014-02-06,Male,1986-03-31,30,25 - 45,African-American,1,4,0,0,9,-1,2014-02-05 02:24:40,2014-02-06 09:14:07,14002051MM10A,2014-02-05,,1,M,Viol Prot Injunc Repeat Viol,1,14001920MM20A,(M1),,2014-06-26,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-06,Risk of Violence,4,Low,2014-02-06,2015-07-24,2015-07-29,9,0,140,1,1 +9867,kenneth beasley,kenneth,beasley,2013-09-06,Male,1975-01-12,41,25 - 45,African-American,0,3,0,0,6,-1,2013-09-05 03:59:11,2013-09-11 05:35:17,13012551CF10A,2013-09-05,,1,F,Poss Cocaine/Intent To Del/Sel,1,16009411TC20A,(M2),22,2016-02-18,Driving License Suspended,2016-03-11,2016-03-16,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-05,2013-09-11,6,5,895,1,0 +9868,eugene ameda,eugene,ameda,2013-10-14,Male,1984-01-03,32,25 - 45,African-American,0,10,0,0,1,-1,2013-10-13 09:56:52,2014-02-05 11:25:55,13019389MM10A,2013-10-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-14,Risk of Violence,8,High,2013-10-14,2013-10-13,2014-02-05,1,114,900,0,0 +9869,keith williams,keith,williams,2013-04-09,Male,1967-12-09,48,Greater than 45,African-American,0,6,0,0,12,-24,2013-03-16 12:22:49,2013-03-16 01:38:12,12026644TC10A,,2012-05-11,333,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-09,Risk of Violence,3,Low,2013-04-09,2013-03-16,2013-03-16,12,0,1088,0,0 +9871,roger lutar,roger,lutar,2014-01-14,Male,1976-06-03,39,25 - 45,Caucasian,0,6,0,0,2,-120,2013-09-16 01:06:26,2013-11-19 10:46:00,09016467CF10A,,2013-09-16,120,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-14,Risk of Violence,3,Low,2014-01-14,2013-09-16,2013-11-19,2,0,808,0,0 +9872,bruse mcgill,bruse,mcgill,2014-11-28,Male,1963-07-31,52,Greater than 45,African-American,0,6,0,0,0,-1,2014-11-27 09:00:13,2014-12-01 10:10:14,14016883MM10A,2014-11-27,,1,M,Battery,1,15000828CF10A,(M1),0,2015-01-19,Viol Pretrial Release Dom Viol,2015-01-19,2015-05-17,,1,15000828CF10A,(M1),2015-01-19,Battery,Risk of Recidivism,6,Medium,2014-11-28,Risk of Violence,4,Low,2014-11-28,2015-01-19,2015-05-17,0,3,52,1,1 +9875,andre uter,andre,uter,2013-09-06,Male,1984-05-08,31,25 - 45,African-American,0,1,1,0,3,0,2013-09-06 12:54:06,2013-09-06 09:10:00,13012560CF10A,2013-09-05,,1,F,Grand Theft in the 3rd Degree,1,14011272CF10A,(F3),203,2014-04-27,Grand Theft in the 3rd Degree,2014-11-16,2014-11-16,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,2,Low,2013-09-06,2014-11-16,2014-11-16,3,0,233,1,1 +9877,aaron epstein,aaron,epstein,2013-09-17,Male,1993-12-22,22,Less than 25,Caucasian,0,5,0,3,1,-1,2013-09-16 07:00:48,2013-09-17 12:10:48,13013089CF10A,2013-09-16,,1,F,Possession Of Alprazolam,1,14009532CF10A,(F3),78,2014-04-23,Possession of XLR11,2014-07-10,2014-07-11,,0,,,,,Risk of Recidivism,5,Medium,2013-09-17,Risk of Violence,5,Medium,2013-09-17,2014-11-20,2014-11-30,1,0,218,1,1 +9879,gregory horton,gregory,horton,2014-01-16,Male,1959-08-01,56,Greater than 45,African-American,0,3,0,0,4,-50,2013-11-27 11:15:34,2013-11-28 12:56:21,13022264MM10A,2013-11-27,,50,M,Battery,1,14008977CF10A,(F2),0,2014-06-30,Sexual Battery / Vict 12 Yrs +,2014-06-30,2014-08-05,,1,14008977CF10A,(F2),2014-06-30,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,3,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2014-06-30,2014-08-05,4,0,165,1,1 +9880,angela waller,angela,waller,2013-09-07,Female,1969-07-22,46,Greater than 45,Caucasian,0,1,0,0,0,0,2013-09-07 12:48:05,2013-09-07 09:24:33,13017046MM10A,2013-09-06,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-07,2013-09-07,0,0,937,0,0 +9881,nancy weaver,nancy,weaver,2014-09-23,Female,1963-12-17,52,Greater than 45,Caucasian,0,7,0,0,23,-62,2014-07-23 02:32:12,2014-09-23 11:19:27,14008784CF10A,,2014-07-23,62,F,arrest case no charge,1,15008634CF10A,(F3),,2015-01-25,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,7,Medium,2014-09-23,Risk of Violence,4,Low,2014-09-23,2014-07-23,2014-09-23,23,0,124,1,1 +9883,courtney edwards,courtney,edwards,2014-05-07,Male,1987-03-30,29,25 - 45,African-American,0,4,0,0,7,-1,2014-05-06 07:36:42,2014-05-07 08:47:54,14006320CF10A,2014-05-06,,1,F,Poss Tetrahydrocannabinols,1,14012675MM10A,(M1),0,2014-08-23,Possess Cannabis/20 Grams Or Less,2014-08-23,2014-08-24,,0,,,,,Risk of Recidivism,4,Low,2014-05-07,Risk of Violence,5,Medium,2014-05-07,2014-08-23,2014-08-24,7,0,108,1,1 +9885,brittany clark,brittany,clark,2013-05-09,Female,1993-10-26,22,Less than 25,African-American,0,7,0,0,0,-2,2013-05-07 04:52:05,2013-05-08 01:00:04,13006538CF10A,2013-05-07,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-09,Risk of Violence,5,Medium,2013-05-09,2013-05-07,2013-05-08,0,0,1058,0,0 +9886,carballo olazabal,carballo,olazabal,2013-03-06,Male,1984-02-23,32,25 - 45,Hispanic,0,1,0,0,1,-47,2013-01-18 10:07:02,2013-01-19 08:57:08,13000867CF10A,2013-01-18,,47,F,Uttering Forged Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,2,Low,2013-03-06,2013-01-18,2013-01-19,1,0,1122,0,0 +9888,gideon smith,gideon,smith,2013-04-12,Male,1977-02-06,39,25 - 45,African-American,0,4,0,0,8,-1,2013-04-11 02:07:58,2013-05-21 06:41:12,13005388CF10A,2013-04-11,,1,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,2013-04-11,2013-05-21,8,39,1085,0,0 +9889,david walker,david,walker,2013-08-15,Male,1980-04-28,35,25 - 45,African-American,0,6,0,0,9,-1,2013-08-14 03:08:13,2013-08-15 07:53:31,13011431CF10A,2013-08-14,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-15,Risk of Violence,3,Low,2013-08-15,2015-09-25,2015-09-30,9,0,771,0,0 +9890,bryan ashley,bryan,ashley,2014-01-21,Male,1989-08-05,26,25 - 45,African-American,0,1,0,0,1,0,2014-01-21 01:53:43,2014-02-04 07:20:36,14000990MM10A,2014-01-21,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,2,Low,2014-01-21,2014-08-04,2014-08-04,1,14,195,0,0 +9891,traci sapp,traci,sapp,2013-02-27,Male,1989-04-01,27,25 - 45,African-American,0,2,0,0,1,0,2013-02-27 12:25:38,2013-02-27 02:41:09,13009902CF10A,2013-02-26,,1,F,Crim Use of Personal ID Info,1,15010744MM10A,(M1),0,2015-10-13,Extradition/Defendants,2015-10-13,2015-10-29,,0,,,,,Risk of Recidivism,2,Low,2013-02-27,Risk of Violence,3,Low,2013-02-27,2013-05-21,2013-05-22,1,0,83,0,0 +9892,anthony andrews,anthony,andrews,2014-06-24,Male,1988-12-20,27,25 - 45,African-American,0,10,0,0,5,-28,2014-05-27 08:49:05,2014-06-24 11:02:54,14006758CF10A,,2014-05-27,28,F,arrest case no charge,1,14013667CF10A,(M2),0,2014-09-06,Felony Battery w/Prior Convict,2014-09-06,2015-04-16,,1,14013667CF10A,(M2),2014-09-06,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2014-06-24,Risk of Violence,5,Medium,2014-06-24,2014-09-06,2015-04-16,5,0,74,1,1 +9894,cassandra robinson,cassandra,robinson,2014-08-27,Female,1981-06-15,34,25 - 45,Caucasian,0,9,0,0,10,22,2014-09-18 11:18:42,2014-10-02 09:03:17,14008082CF10A,2014-06-11,,77,F,Possession of Cocaine,1,15008674MM10A,(M1),0,2015-08-16,Battery,2015-08-16,2015-08-20,,1,15008674MM10A,(M1),2015-08-16,Battery,Risk of Recidivism,9,High,2014-08-27,Risk of Violence,5,Medium,2014-08-27,2014-09-18,2014-10-02,10,0,22,0,1 +9898,roger drain,roger,drain,2013-09-24,Male,1968-06-18,47,Greater than 45,African-American,0,9,0,0,21,-124,2013-05-23 01:49:55,2013-09-12 10:31:00,13003236CF10A,,2013-05-23,124,F,arrest case no charge,1,15008923CF10A,(F3),,2015-07-11,False Imprisonment,,,,0,,,,,Risk of Recidivism,9,High,2013-09-24,Risk of Violence,4,Low,2013-09-24,2014-04-29,2014-07-22,21,0,217,0,1 +9899,mania simon,mania,simon,2014-02-06,Male,1988-06-18,27,25 - 45,African-American,0,2,0,0,2,104,2014-05-21 12:16:18,2014-06-22 03:06:35,13004765MM10A,2013-03-09,,334,M,Posses/Disply Susp/Revk/Frd DL,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-06,Risk of Violence,2,Low,2014-02-06,2014-05-21,2014-06-22,2,0,104,0,0 +9900,kevin morales,kevin,morales,2013-04-29,Male,1988-09-09,27,25 - 45,Hispanic,0,6,0,0,6,1026,2016-02-19 05:00:40,2016-03-04 08:51:57,11003049CF10A,,2012-09-19,222,F,arrest case no charge,1,16001632MM10A,(M1),0,2016-02-19,Possess Cannabis/20 Grams Or Less,2016-02-19,2016-03-04,,0,,,,,Risk of Recidivism,6,Medium,2013-04-29,Risk of Violence,6,Medium,2013-04-29,2016-02-19,2016-03-04,6,0,1026,1,0 +9902,qushondra fields,qushondra,fields,2014-12-17,Female,1983-12-13,32,25 - 45,African-American,0,1,0,0,0,0,2014-12-17 01:46:31,2014-12-17 08:04:44,14017743MM10A,2014-12-16,,1,M,Battery,1,15016551CF10A,(F2),,2015-12-28,Throw Deadly Missile Into Veh,,,,1,15016551CF10A,(F2),2015-12-28,Throw Deadly Missile Into Veh,Risk of Recidivism,1,Low,2014-12-17,Risk of Violence,1,Low,2014-12-17,2014-12-17,2014-12-17,0,0,376,1,1 +9903,manuel besada,manuel,besada,2013-02-26,Male,1987-11-30,28,25 - 45,Hispanic,0,8,0,0,8,407,2014-04-09 12:32:09,2014-06-05 05:29:46,12025753MM10A,2012-12-18,,70,M,Possess Cannabis/20 Grams Or Less,1,14003589MM40A,(M1),,2014-08-01,Possess Drug Paraphernalia,,,,0,,,,,Risk of Recidivism,8,High,2013-02-26,Risk of Violence,6,Medium,2013-02-26,2014-04-09,2014-06-05,8,0,407,0,1 +9904,jordan moody,jordan,moody,2013-03-12,Male,1990-11-08,25,25 - 45,African-American,0,9,0,1,5,-1,2013-03-11 09:55:25,2013-03-16 07:55:14,13003381CF10A,,2013-03-11,1,F,arrest case no charge,1,13009315MM10A,(M1),0,2013-05-14,Resist/Obstruct W/O Violence,2013-05-14,2013-10-01,,0,,,,,Risk of Recidivism,9,High,2013-03-12,Risk of Violence,9,High,2013-03-12,2013-05-14,2013-10-01,5,4,63,1,1 +9905,fritz poulard,fritz,poulard,2014-03-28,Male,1993-06-04,22,Less than 25,Caucasian,0,5,0,1,2,-1,2014-03-27 08:50:11,2014-04-21 05:34:22,14005318MM10A,2014-03-27,,1,M,Battery,1,14049928TC30A,(M2),,2014-06-05,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-28,Risk of Violence,6,Medium,2014-03-28,2014-03-27,2014-04-21,2,24,69,1,1 +9906,ivan vera,ivan,vera,2013-07-18,Male,1973-02-07,43,25 - 45,Caucasian,0,2,0,0,4,-55,2013-05-24 08:57:03,2013-05-25 10:31:58,13021578TC10A,2013-05-24,,55,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-18,Risk of Violence,1,Low,2013-07-18,2013-05-24,2013-05-25,4,0,988,0,0 +9907,john seymore,john,seymore,2013-04-24,Male,1963-11-25,52,Greater than 45,African-American,0,9,0,0,7,-1,2013-04-23 04:49:37,2013-08-19 02:59:15,13005828CF10A,2013-04-23,,1,F,Possession of Cocaine,1,13014298CF10A,(M1),0,2013-10-12,Possess Drug Paraphernalia,2013-10-12,2013-11-13,,1,13014298CF10A,(F2),2013-10-12,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-04-24,Risk of Violence,3,Low,2013-04-24,2013-10-12,2013-11-13,7,117,171,1,1 +9908,britton blackwood,britton,blackwood,2013-09-13,Male,1994-05-25,21,Less than 25,African-American,0,10,0,0,2,0,2013-09-13 06:24:14,2013-09-14 04:42:09,13012966CF10A,2013-09-13,,0,F,Tampering With Physical Evidence,1,13022505MM10A,(M1),,2013-09-27,Carrying A Concealed Weapon,,,,1,15000392CF10A,(F2),2014-09-24,Armed False Imprisonment,Risk of Recidivism,10,High,2013-09-13,Risk of Violence,10,High,2013-09-13,2013-09-13,2013-09-14,2,1,14,1,1 +9909,peterson thelemaque,peterson,thelemaque,2014-05-15,Male,1987-12-21,28,25 - 45,African-American,0,9,1,0,11,-1,2014-05-14 11:19:30,2014-05-16 03:45:44,14006721CF10A,2014-05-14,,1,F,Burglary Conveyance Unoccup,1,15001974MM10A,(M2),0,2015-02-17,Prowling/Loitering,2015-02-17,2015-02-18,,0,,,,,Risk of Recidivism,9,High,2014-05-15,Risk of Violence,8,High,2014-05-15,2015-02-17,2015-02-18,11,1,278,1,1 +9910,shedrich hines,shedrich,hines,2013-07-16,Male,1994-10-09,21,Less than 25,African-American,0,9,0,0,1,34,2013-08-19 07:24:28,2014-09-18 07:00:41,13002313CF10A,2013-02-13,,153,F,Carrying Concealed Firearm,1,13011627CF10A,(F2),0,2013-08-19,Robbery / No Weapon,2013-08-19,2014-09-18,,1,13011627CF10A,(F2),2013-08-19,Robbery / No Weapon,Risk of Recidivism,9,High,2013-07-16,Risk of Violence,9,High,2013-07-16,2013-08-19,2014-09-18,1,0,34,1,1 +9912,ana olivaconsuegra,ana,olivaconsuegra,2013-08-26,Male,1990-03-26,26,25 - 45,Hispanic,0,6,0,0,0,-1,2013-08-25 01:25:15,2013-08-25 05:58:19,13011965CF10A,2013-08-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-26,Risk of Violence,4,Low,2013-08-26,2013-08-25,2013-08-25,0,0,949,0,0 +9914,giovanni iglesias,giovanni,iglesias,2013-10-04,Male,1992-10-20,23,Less than 25,Caucasian,0,4,1,0,4,-1,2013-10-03 10:35:19,2013-10-11 06:19:02,13018833MM10A,2013-10-03,,1,M,Battery,1,15007090CF10A,(F1),1,2015-05-29,Trafficking 4-14 Grams Heroin,2015-05-30,2015-06-10,,0,,,,,Risk of Recidivism,4,Low,2013-10-04,Risk of Violence,4,Low,2013-10-04,2014-07-15,2014-08-19,4,7,284,0,1 +9915,enrique cruz,enrique,cruz,2013-10-14,Male,1977-02-04,39,25 - 45,Hispanic,0,1,0,0,3,,,,13016657MM10A,2013-08-30,,45,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,,,3,0,900,0,0 +9917,onique williams,onique,williams,2013-05-12,Male,1985-01-23,31,25 - 45,African-American,0,1,0,0,1,-1,2013-05-11 03:14:46,2013-05-12 07:01:24,13009134MM10A,2013-05-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-12,Risk of Violence,2,Low,2013-05-12,2013-05-11,2013-05-12,1,0,1055,0,0 +9918,alan malone,alan,malone,2013-05-27,Male,1981-04-24,34,25 - 45,Caucasian,0,5,0,0,1,-1,2013-05-26 09:18:06,2013-05-27 06:09:09,13010121MM10A,2013-05-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-27,Risk of Violence,5,Medium,2013-05-27,2013-05-26,2013-05-27,1,0,1040,0,0 +9919,jamie elliot,jamie,elliot,2013-04-07,Male,1983-12-15,32,25 - 45,African-American,0,4,0,0,0,-1,2013-04-06 10:24:59,2013-04-07 01:32:06,13004960CF10A,2013-04-06,,1,M,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-07,Risk of Violence,3,Low,2013-04-07,2013-04-06,2013-04-07,0,0,1090,0,0 +9920,nadine chambers,nadine,chambers,2013-08-12,Female,1965-08-08,50,Greater than 45,Caucasian,0,3,0,0,0,-3,2013-08-09 01:00:46,2013-08-09 06:29:32,13014985MM10A,2013-08-08,,4,M,Driving Under The Influence,1,13017330MM10A,(M1),1,2013-09-11,Battery,2013-09-12,2013-09-13,,1,13017330MM10A,(M1),2013-09-11,Battery,Risk of Recidivism,3,Low,2013-08-12,Risk of Violence,1,Low,2013-08-12,2014-11-19,2014-11-20,0,0,30,1,1 +9921,vincent green,vincent,green,2013-04-13,Male,1988-06-03,27,25 - 45,African-American,0,5,0,0,1,-1,2013-04-12 09:18:59,2013-04-13 08:25:20,13005305CF10A,2013-04-12,,1,M,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-13,Risk of Violence,3,Low,2013-04-13,2014-03-05,2014-08-15,1,0,326,0,0 +9922,krystal patterson,krystal,patterson,2014-01-17,Female,1989-05-23,26,25 - 45,African-American,0,3,1,0,4,-1,2014-01-16 09:09:35,2014-01-18 12:04:24,14000707CF10A,,2014-01-16,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-17,Risk of Violence,3,Low,2014-01-17,2014-01-16,2014-01-18,4,1,805,0,0 +9923,jeremy watts,jeremy,watts,2014-10-27,Male,1989-03-31,27,25 - 45,African-American,1,5,0,0,4,-1,2014-10-26 10:19:20,2014-10-28 04:09:18,14014428CF10A,2014-10-26,,1,F,Aggravated Assault W/Dead Weap,1,15000454CF10A,(F3),0,2015-01-10,Poss Pyrrolidinovalerophenone,2015-01-10,2015-01-11,,1,15005533CF10A,(F3),2015-04-27,Agg Assault W/int Com Fel Dome,Risk of Recidivism,5,Medium,2014-10-27,Risk of Violence,3,Low,2014-10-27,2015-01-10,2015-01-11,4,1,75,1,1 +9924,michael cashes,michael,cashes,2013-03-12,Male,1986-05-04,29,25 - 45,Caucasian,0,3,0,0,0,0,2013-03-12 02:57:33,2013-03-13 02:33:01,13003636CF10A,2013-03-12,,0,F,Aggravated Assault W/dead Weap,1,14007973MU10A,(M1),0,2014-03-02,Driving Under The Influence,2014-03-02,2014-03-03,,0,,,,,Risk of Recidivism,3,Low,2013-03-12,Risk of Violence,3,Low,2013-03-12,2014-03-02,2014-03-03,0,1,355,1,1 +9926,brandon cramasta,brandon,cramasta,2014-10-22,Male,1985-10-27,30,25 - 45,Caucasian,0,10,0,0,11,-214,2014-03-22 05:32:17,2014-03-22 01:52:12,14011322MU10A,2014-03-22,,214,M,Reckless Driving,1,15003185TC30A,(M2),,2015-01-06,Fail Obey Driv Lic Restrictions,,,,0,,,,,Risk of Recidivism,10,High,2014-10-22,Risk of Violence,6,Medium,2014-10-22,2014-03-22,2014-03-22,11,0,76,1,1 +9931,jean fils-aime,jean,fils-aime,2013-01-13,Male,1957-07-31,58,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-12 03:18:57,2013-01-13 12:41:21,13000730MM10A,2013-01-11,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0 +9933,johnny gore,johnny,gore,2013-01-09,Male,1988-10-17,27,25 - 45,African-American,2,10,0,0,14,0,2013-01-09 12:01:13,2013-01-11 03:18:28,13000387CF10A,2013-01-09,,0,F,False Imprisonment,1,14000959CF10A,(F1),34,2013-12-11,Sell Cocaine 1000FT School,2014-01-14,2014-03-13,,0,,,,,Risk of Recidivism,10,High,2013-01-09,Risk of Violence,10,High,2013-01-09,2013-02-27,2013-04-01,14,2,49,0,1 +9934,daniel zephir,daniel,zephir,2013-03-24,Male,1987-12-15,28,25 - 45,African-American,0,5,0,0,5,0,2013-03-24 01:27:42,2013-03-24 06:38:53,13004236CF10A,2013-03-24,,0,F,Driving While License Revoked,1,13001156MM20A,(M2),39,2013-04-14,Petit Theft,2013-05-23,2013-05-30,,0,,,,,Risk of Recidivism,5,Medium,2013-03-24,Risk of Violence,2,Low,2013-03-24,2013-05-23,2013-05-30,5,0,21,1,1 +9935,kevin soto,kevin,soto,2013-04-18,Male,1991-07-27,24,Less than 25,African-American,0,10,5,1,15,-1,2013-04-17 07:43:21,2013-04-19 09:18:18,13005510CF10A,2013-04-17,,1,F,Deliver Cocaine,1,13012172CF10A,(F2),,2013-08-28,Aggravated Battery,,,,1,13012172CF10A,(F2),2013-08-28,Aggravated Battery,Risk of Recidivism,10,High,2013-04-18,Risk of Violence,9,High,2013-04-18,2013-04-17,2013-04-19,15,1,132,1,1 +9937,samuel guess,samuel,guess,2014-08-22,Male,1970-06-28,45,Greater than 45,African-American,0,1,0,0,1,121,2014-12-21 04:52:18,2015-09-17 06:26:38,14005527CF10A,,2014-04-16,128,F,arrest case no charge,1,14016871CF10A,(F3),27,2014-11-24,Grand Theft in the 3rd Degree,2014-12-21,2015-09-17,,0,,,,,Risk of Recidivism,1,Low,2014-08-22,Risk of Violence,1,Low,2014-08-22,2014-12-21,2015-09-17,1,0,94,1,1 +9939,wilfredo torres,wilfredo,torres,2013-12-02,Male,1965-07-01,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-01 05:20:31,2013-12-02 09:13:00,13022384MM10A,2013-12-01,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0 +9940,avious lucas,avious,lucas,2013-12-10,Female,1985-07-19,30,25 - 45,African-American,0,9,0,0,15,-4,2013-12-06 12:19:25,2013-12-06 07:38:02,13016850CF10A,2013-12-05,,5,F,Possession of Cocaine,1,14007189TC10A,(M2),0,2014-02-25,Driving License Suspended,2014-02-25,2014-02-25,,0,,,,,Risk of Recidivism,9,High,2013-12-10,Risk of Violence,7,Medium,2013-12-10,2014-02-25,2014-02-25,15,0,77,0,1 +9941,giovanny gonzalez,giovanny,gonzalez,2013-07-26,Male,1991-01-30,25,25 - 45,Hispanic,0,3,0,0,1,37,2013-09-01 11:17:52,2013-09-02 08:21:50,13001285CF10A,,2013-02-20,156,F,arrest case no charge,1,13016735MM10A,(M2),0,2013-09-01,Prowling/Loitering,2013-09-01,2013-09-02,,0,,,,,Risk of Recidivism,3,Low,2013-07-26,Risk of Violence,4,Low,2013-07-26,2013-09-01,2013-09-02,1,0,37,1,1 +9942,adriano suarez,adriano,suarez,2013-11-17,Male,1970-01-02,46,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-11-16 06:24:35,2013-11-17 08:15:11,13015946CF10A,2013-11-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-17,Risk of Violence,1,Low,2013-11-17,2013-11-16,2013-11-17,0,0,866,0,0 +9944,kevin abell,kevin,abell,2013-05-14,Male,1973-01-12,43,25 - 45,Caucasian,0,1,0,0,0,-1,2013-05-13 04:41:40,2013-05-14 06:46:00,13006849CF10A,2013-05-13,,1,F,Grand Theft in the 3rd Degree,1,14036190TC10A,(M2),227,2014-09-17,Expired DL More Than 6 Months,2015-05-02,2015-05-06,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2015-05-02,2015-05-06,0,0,491,1,1 +9945,ahmed deleon,ahmed,deleon,2014-01-04,Male,1991-06-13,24,Less than 25,Caucasian,0,2,0,0,0,-1,2014-01-03 09:09:22,2014-01-04 01:32:53,14000132CF10A,,2014-01-03,1,F,arrest case no charge,1,14054085TC30A,(M2),253,2014-06-23,Susp Drivers Lic 1st Offense,2015-03-03,2015-03-17,,0,,,,,Risk of Recidivism,2,Low,2014-01-04,Risk of Violence,3,Low,2014-01-04,2015-03-03,2015-03-17,0,0,170,1,1 +9948,elijah garland,elijah,garland,2013-02-06,Male,1982-01-03,34,25 - 45,African-American,0,7,0,0,10,-1,2013-02-05 05:25:18,2013-02-06 07:15:25,13001779CF10A,2013-02-05,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-06,Risk of Violence,5,Medium,2013-02-06,2013-02-05,2013-02-06,10,0,1150,0,0 +9949,luis otero,luis,otero,2014-03-14,Male,1960-01-28,56,Greater than 45,Hispanic,0,1,0,0,2,-108,2013-11-26 02:29:01,2013-11-27 03:32:27,13016699CF10A,,2013-11-26,108,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-14,Risk of Violence,1,Low,2014-03-14,2013-11-26,2013-11-27,2,0,749,0,0 +9951,diego garzon,diego,garzon,2014-01-18,Male,1989-10-14,26,25 - 45,Caucasian,0,2,0,0,2,-1,2014-01-17 04:03:50,2014-01-20 08:01:13,14000753CF10A,2014-01-17,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-18,Risk of Violence,3,Low,2014-01-18,2014-01-17,2014-01-20,2,2,804,0,0 +9952,jason boucher,jason,boucher,2013-01-16,Male,1984-05-14,31,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-15 07:55:01,2013-01-16 06:46:25,13000712CF10A,2013-01-15,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-16,Risk of Violence,1,Low,2013-01-16,2013-07-29,2013-09-19,0,0,194,0,0 +9953,christopher bazard,christopher,bazard,2013-08-05,Male,1993-01-25,23,Less than 25,African-American,0,3,0,3,1,-24,2013-07-12 04:45:33,2013-08-03 12:58:46,13009822CF10A,2013-07-12,,24,F,Grand Theft in the 3rd Degree,1,15016220TC20A,(M2),,2015-02-27,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-05,Risk of Violence,4,Low,2013-08-05,2013-07-12,2013-08-03,1,0,571,1,1 +9955,marlon dunlop,marlon,dunlop,2013-09-17,Male,1976-10-02,39,25 - 45,African-American,0,1,0,0,0,-1,2013-09-16 07:16:33,2013-10-04 09:01:33,13013088CF10A,2013-09-16,,1,F,Kidnapping / Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-17,Risk of Violence,1,Low,2013-09-17,2013-09-16,2013-10-04,0,17,927,0,0 +9956,brian butcher,brian,butcher,2014-12-28,Male,1965-06-14,50,Greater than 45,African-American,0,1,0,0,4,-1,2014-12-27 05:07:12,2014-12-28 01:52:30,14017086CF10A,2014-12-27,,1,F,Driving While License Revoked,1,15050654TC40A,(M1),,2015-06-02,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,1,Low,2014-12-28,Risk of Violence,1,Low,2014-12-28,2014-12-27,2014-12-28,4,0,156,1,1 +9959,chanel hooper,chanel,hooper,2013-10-08,Female,1993-09-04,22,Less than 25,African-American,0,6,0,0,0,-1,2013-10-07 03:03:48,2013-10-08 08:59:33,13019072MM10A,2013-10-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-08,Risk of Violence,5,Medium,2013-10-08,2013-10-07,2013-10-08,0,0,906,0,0 +9960,josalina afonso,josalina,afonso,2013-09-14,Female,1990-05-21,25,25 - 45,African-American,0,2,0,0,0,-1,2013-09-13 08:03:52,2013-09-14 07:39:15,13017497MM10A,2013-09-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-14,Risk of Violence,3,Low,2013-09-14,2013-09-13,2013-09-14,0,0,930,0,0 +9963,leontae williams,leontae,williams,2013-10-20,Female,1994-11-01,21,Less than 25,African-American,0,9,1,0,2,-1,2013-10-19 07:50:05,2013-10-20 08:38:22,13014630CF10A,2013-10-19,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-20,Risk of Violence,6,Medium,2013-10-20,2013-10-19,2013-10-20,2,0,894,0,0 +9965,justin koven,justin,koven,2014-02-12,Male,1995-05-06,20,Less than 25,Caucasian,0,4,0,0,1,-1,2014-02-11 03:24:41,2014-02-12 02:37:51,14001933CF10A,2014-02-11,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-12,Risk of Violence,6,Medium,2014-02-12,2014-02-11,2014-02-12,1,0,779,0,0 +9966,tracy butler,tracy,butler,2014-06-30,Male,1961-08-15,54,Greater than 45,African-American,0,5,0,0,12,0,2014-06-30 04:03:25,2014-10-26 04:37:21,14010073MM10A,2014-06-30,,0,M,Battery,1,14015969CF10A,(M1),0,2014-11-29,Viol Injunct Domestic Violence,2014-11-29,2015-12-15,,1,14015969CF10A,(F2),2014-11-29,Throw Deadly Missile Into Veh,Risk of Recidivism,5,Medium,2014-06-30,Risk of Violence,2,Low,2014-06-30,2014-11-29,2015-12-15,12,118,152,1,1 +9968,shavoria lewis,shavoria,lewis,2013-01-15,Female,1988-07-01,27,25 - 45,African-American,0,6,0,0,2,-1,2013-01-14 07:34:35,2013-01-18 08:28:33,13000621CF10A,2013-01-14,,1,F,Felony Petit Theft,1,13040414TC10A,(M2),,2013-10-02,Unlaw LicTag/Sticker Attach,,,,1,14006149CF10A,(F3),2014-05-02,Robbery Sudd Snatch No Weapon,Risk of Recidivism,6,Medium,2013-01-15,Risk of Violence,4,Low,2013-01-15,2013-01-14,2013-01-18,2,3,260,1,1 +9969,donald moroney,donald,moroney,2014-10-06,Male,1970-08-20,45,Greater than 45,Caucasian,0,5,0,0,5,-4,2014-10-02 02:26:05,2014-10-03 02:43:26,14013277CF10A,2014-10-02,,4,F,Possession of Methadone,1,15001500MM10A,(M1),0,2015-02-06,Tresspass in Struct/Convey Occupy,2015-02-06,2015-02-06,,0,,,,,Risk of Recidivism,5,Medium,2014-10-06,Risk of Violence,3,Low,2014-10-06,2015-02-06,2015-02-06,5,0,123,0,1 +9970,miles floyd,miles,floyd,2014-07-12,Male,1981-11-13,34,25 - 45,African-American,3,7,1,0,13,-1,2014-07-11 05:24:24,2014-07-12 08:02:16,14008346CF10A,,2014-07-11,1,F,arrest case no charge,1,16000456MM20A,(M2),,2016-02-11,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2014-07-12,Risk of Violence,2,Low,2014-07-12,2014-07-11,2014-07-12,13,0,579,1,1 +9971,nancy howard,nancy,howard,2014-03-22,Female,1961-01-18,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-21 09:28:46,2014-03-22 10:57:58,14004007CF10A,2014-03-21,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-22,0,0,741,0,0 +9972,vatoria adderly,vatoria,adderly,2014-01-23,Male,1991-07-01,24,Less than 25,African-American,0,2,0,0,0,-1,2014-01-22 10:18:38,2014-01-23 02:17:27,14001109MM10A,2014-01-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-23,Risk of Violence,3,Low,2014-01-23,2014-01-22,2014-01-23,0,0,799,0,0 +9973,bruce francis,bruce,francis,2014-11-22,Male,1995-11-14,20,Less than 25,African-American,0,10,0,1,0,0,2014-11-22 04:56:51,2014-11-22 08:49:03,14015731CF10A,2014-11-22,,0,F,Possession of Cocaine,1,15000919CF10A,(F3),,2015-01-21,Tampering With Physical Evidence,,,,1,15000919CF10A,(F3),2015-01-21,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-11-22,Risk of Violence,9,High,2014-11-22,2014-12-13,2014-12-13,0,0,21,0,1 +9977,everald mcdonald,everald,mcdonald,2013-01-31,Male,1978-05-29,37,25 - 45,African-American,0,5,0,0,5,0,2013-01-31 01:20:18,2013-02-06 12:08:39,13002275MM10A,2013-01-30,,1,M,Battery,1,13094195TC30A,(M2),,2013-09-19,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-31,Risk of Violence,3,Low,2013-01-31,2013-01-31,2013-02-06,5,6,231,1,1 +9979,brittany holt,brittany,holt,2013-07-02,Female,1982-01-22,34,25 - 45,Caucasian,0,1,0,0,1,-21,2013-06-11 09:42:12,2013-06-12 11:45:38,13011225MM10A,2013-06-11,,21,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-02,Risk of Violence,2,Low,2013-07-02,2013-06-11,2013-06-12,1,0,1004,0,0 +9980,latrice johnson,latrice,johnson,2013-08-05,Female,1974-11-17,41,25 - 45,African-American,0,6,0,0,2,-26,2013-07-10 12:47:23,2013-08-03 02:15:23,13009616CF10A,2013-07-09,,27,F,Aggravated Assault W/dead Weap,1,14009684CF10A,(F3),,2013-10-18,Fail to Report Change/Residence,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-05,Risk of Violence,5,Medium,2013-08-05,2013-07-10,2013-08-03,2,0,74,1,1 +9981,david penso,david,penso,2014-06-13,Male,1995-01-23,21,Less than 25,African-American,0,6,0,0,1,-1,2014-06-12 08:19:38,2014-06-13 01:40:20,14001175CF10A,,2014-06-12,1,F,arrest case no charge,1,15009786MM10A,(M1),0,2015-09-15,Possess Drug Paraphernalia,2015-09-15,2015-09-22,,0,,,,,Risk of Recidivism,6,Medium,2014-06-13,Risk of Violence,6,Medium,2014-06-13,2015-09-15,2015-09-22,1,0,459,1,1 +9983,wesley brown,wesley,brown,2014-12-20,Male,1993-09-14,22,Less than 25,African-American,0,3,0,0,3,-1,2014-12-19 07:19:55,2014-12-28 01:36:56,14016818CF10A,2014-12-19,,1,F,Burglary Unoccupied Dwelling,1,15001695MM20A,(M1),,2015-06-25,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2014-12-20,Risk of Violence,4,Low,2014-12-20,2015-02-05,2015-03-12,3,8,47,0,1 +9984,alan-michael caldwell,alan-michael,caldwell,2013-01-27,Male,1991-05-06,24,Less than 25,African-American,0,8,0,0,0,0,2013-01-27 04:17:45,2013-01-28 06:51:41,13001345CF10A,2013-01-27,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2013-01-27,2013-01-28,0,1,1160,0,0 +9985,nathan mcmullen,nathan,mcmullen,2013-12-11,Male,1974-03-18,42,25 - 45,Caucasian,0,4,0,0,8,-1,2013-12-10 08:19:39,2013-12-11 09:07:56,13017074CF10A,2013-12-10,,1,F,Agg Fleeing and Eluding,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-11,Risk of Violence,4,Low,2013-12-11,2014-01-28,2014-01-29,8,0,48,0,0 +9987,latoya kelly,latoya,kelly,2013-05-17,Female,1993-03-19,23,Less than 25,African-American,0,4,0,0,0,-1,2013-05-16 12:56:46,2013-05-17 08:35:38,13009480MM10A,2013-05-16,,1,M,Battery,1,14081792TC30A,(M2),,2014-09-21,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-17,Risk of Violence,5,Medium,2013-05-17,2013-05-16,2013-05-17,0,0,492,1,1 +9988,nichole stupart,nichole,stupart,2013-06-05,Female,1976-01-03,40,25 - 45,African-American,0,1,0,0,1,-73,2013-03-24 12:28:55,2013-03-25 05:28:38,13004261CF10A,2013-03-24,,73,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-05,Risk of Violence,1,Low,2013-06-05,2013-03-24,2013-03-25,1,0,1031,0,0 +9989,xavier stroman,xavier,stroman,2013-12-11,Male,1996-07-03,19,Less than 25,African-American,3,9,0,0,2,-43,2013-10-29 07:02:12,2013-12-11 11:56:37,13015060CF10A,,2013-10-29,43,F,arrest case no charge,1,14003734CF10A,(F2),1,2014-02-20,Burglary Dwelling Occupied,2014-02-21,2015-03-03,,0,,,,,Risk of Recidivism,9,High,2013-12-11,Risk of Violence,9,High,2013-12-11,2015-03-03,2020-01-01,2,0,71,1,1 +9991,wilfredo rodriguez,wilfredo,rodriguez,2014-01-31,Male,1995-12-30,20,Less than 25,Caucasian,0,4,0,0,0,-1,2014-01-30 08:42:46,2014-02-03 01:10:07,14001693MM10A,2014-01-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-31,Risk of Violence,7,Medium,2014-01-31,2014-01-30,2014-02-03,0,3,791,0,0 +9996,zulimay lizcano,zulimay,lizcano,2013-10-26,Female,1972-02-27,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-10-25 08:43:02,2013-10-26 02:45:42,13014955CF10A,2013-10-25,,1,F,Grand Theft in the 3rd Degree,1,14004545MM40A,(M2),,2014-10-24,Petit Theft,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-26,Risk of Violence,1,Low,2013-10-26,2013-10-25,2013-10-26,0,0,363,1,1 +9997,stefan walters,stefan,walters,2013-10-02,Male,1995-07-04,20,Less than 25,African-American,0,4,0,0,0,-1,2013-10-01 05:18:33,2013-10-02 07:35:45,13018695MM10A,2013-10-01,,1,M,Assault,1,15012675MM10A,(M1),0,2015-12-07,Resist/Obstruct W/O Violence,2015-12-07,2015-12-09,,1,15012675MM10A,(M1),2015-12-07,Battery,Risk of Recidivism,4,Low,2013-10-02,Risk of Violence,7,Medium,2013-10-02,2015-12-07,2015-12-09,0,0,796,1,0 +10004,jarvis cornelius,jarvis,cornelius,2013-02-12,Male,1989-01-14,27,25 - 45,African-American,0,5,0,0,5,-1,2013-02-11 11:48:35,2013-02-12 08:12:58,13006473TC10A,2013-02-11,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-12,Risk of Violence,4,Low,2013-02-12,2013-02-11,2013-02-12,5,0,1144,0,0 +10006,korbin goodroad,korbin,goodroad,2013-09-14,Male,1995-04-21,20,Less than 25,Caucasian,0,10,0,0,0,-1,2013-09-13 10:01:25,2013-09-14 06:55:45,13017499MM10A,2013-09-13,,1,M,Battery,1,15000261MM10A,(M1),0,2015-01-07,Battery,2015-01-07,2015-01-14,,1,15000261MM10A,(M1),2015-01-07,Battery,Risk of Recidivism,10,High,2013-09-14,Risk of Violence,9,High,2013-09-14,2015-01-07,2015-01-14,0,0,480,1,1 +10007,sharkiem adams,sharkiem,adams,2013-10-07,Male,1995-09-21,20,Less than 25,African-American,0,6,0,0,0,-3,2013-10-04 01:09:32,2013-10-04 08:43:28,13013887CF10A,2013-10-03,,4,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-07,Risk of Violence,8,High,2013-10-07,2013-10-04,2013-10-04,0,0,907,0,0 +10008,broderick joffe,broderick,joffe,2014-12-08,Male,1988-01-24,28,25 - 45,Caucasian,0,4,0,0,1,-1,2014-12-07 09:14:12,2015-01-06 10:07:01,14016266CF10A,2014-12-07,,1,F,Poss Pyrrolidinovalerophenone,1,15000692MM10A,(M1),0,2015-01-19,Petit Theft $100- $300,2015-01-19,2015-02-10,,0,,,,,Risk of Recidivism,4,Low,2014-12-08,Risk of Violence,3,Low,2014-12-08,2015-01-19,2015-02-10,1,29,42,1,1 +10009,travis whitehead,travis,whitehead,2013-02-22,Male,1986-05-03,29,25 - 45,African-American,0,7,0,0,9,0,2013-02-22 12:02:01,2013-02-27 06:08:00,13000793CF10A,,2013-02-21,1,F,arrest case no charge,1,13025307TC10A,(M1),0,2013-05-29,Opert With Susp DL 2nd Offens,2013-05-29,2013-05-30,,1,13008106CF10A,(F3),2013-06-07,Agg Fleeing and Eluding,Risk of Recidivism,7,Medium,2013-02-22,Risk of Violence,4,Low,2013-02-22,2013-05-29,2013-05-30,9,5,96,1,1 +10010,robby allen,robby,allen,2013-02-13,Male,1994-12-18,21,Less than 25,African-American,0,9,0,0,0,-1,2013-02-12 08:34:37,2013-02-14 04:15:21,13002193CF10A,2013-02-12,,1,F,Felony Battery,1,14005847TC10A,(M2),,2013-08-07,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,9,High,2013-02-13,Risk of Violence,10,High,2013-02-13,2013-02-12,2013-02-14,0,1,175,1,1 +10011,tanis simon,tanis,simon,2013-02-20,Male,1970-05-16,45,Greater than 45,African-American,0,3,0,0,4,114,2013-06-14 12:37:30,2013-06-14 08:30:23,13004299TC10A,2012-09-19,,154,M,Driving License Suspended,1,13011456MM10A,(M1),1,2013-06-13,Unlaw Use False Name/Identity,2013-06-14,2013-06-14,,0,,,,,Risk of Recidivism,3,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2014-07-12,2014-07-13,4,0,113,1,1 +10012,carmelle louidor,carmelle,louidor,2014-01-13,Female,1992-03-19,24,Less than 25,African-American,0,6,0,0,2,-1,2014-01-12 05:35:17,2014-03-11 05:32:00,14000528CF10A,2014-01-12,,1,F,Grand Theft in the 3rd Degree,1,15005158MM10A,(M2),0,2015-05-08,Petit Theft,2015-05-08,2015-09-02,,0,,,,,Risk of Recidivism,6,Medium,2014-01-13,Risk of Violence,4,Low,2014-01-13,2015-05-08,2015-09-02,2,57,480,1,1 +10013,william scott,william,scott,2013-05-14,Male,1955-07-02,60,Greater than 45,African-American,0,4,0,0,15,-38,2013-04-06 10:39:23,2013-05-14 11:36:14,13004947CF10A,2013-04-06,,38,F,Felony Battery (Dom Strang),1,14001941CF10A,(F3),0,2014-02-11,Possession of Cocaine,2014-02-11,2014-03-11,,0,,,,,Risk of Recidivism,4,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2014-02-11,2014-03-11,15,0,273,1,1 +10015,reginald johnson,reginald,johnson,2013-10-09,Male,1972-07-14,43,25 - 45,African-American,1,4,0,0,8,34,2013-11-12 12:58:04,2013-12-21 02:08:21,13011855CF10A,,2013-08-25,45,F,arrest case no charge,1,14002596MM20A,(M2),,2014-09-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-09,Risk of Violence,5,Medium,2013-10-09,2013-11-12,2013-12-21,8,0,34,0,1 +10017,aron vassell,aron,vassell,2013-12-23,Male,1994-06-29,21,Less than 25,Other,0,4,0,0,0,-3,2013-12-20 12:25:24,2013-12-20 08:10:02,13017534CF10A,2013-12-19,,4,F,Possession of Cocaine,1,15004378MM10A,(M1),0,2015-04-16,Trespass Other Struct/Conve,2015-04-16,2015-04-17,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,6,Medium,2013-12-23,2015-04-16,2015-04-17,0,0,479,1,1 +10018,sheleike barnett,sheleike,barnett,2013-04-13,Female,1991-04-22,24,Less than 25,African-American,0,5,0,0,0,0,2013-04-13 02:30:21,2013-04-13 08:04:17,13005345CF10A,2013-04-12,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-13,Risk of Violence,4,Low,2013-04-13,2013-04-13,2013-04-13,0,0,1084,0,0 +10019,jordan boyd,jordan,boyd,2013-08-08,Male,1993-01-11,23,Less than 25,African-American,0,5,1,0,3,-1,2013-08-07 08:54:38,2013-08-13 10:05:00,13011061CF10A,2013-08-07,,1,F,Possession Of Clonazepam,1,14013348TC10A,(M2),,2014-03-16,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-08,Risk of Violence,7,Medium,2013-08-08,2013-08-07,2013-08-13,3,5,220,1,1 +10020,trevor benn,trevor,benn,2013-04-12,Male,1989-04-08,27,25 - 45,Caucasian,0,4,0,0,0,0,2013-04-12 01:52:14,2013-04-24 04:49:29,13005313CF10A,2013-04-12,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-09-22,2013-09-23,0,12,163,0,0 +10021,adam magazinik,adam,magazinik,2013-05-10,Male,1991-10-08,24,Less than 25,Caucasian,0,4,0,0,0,-2,2013-05-08 11:38:39,2013-05-09 07:58:28,13006597CF10A,2013-05-08,,2,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-10,Risk of Violence,4,Low,2013-05-10,2013-05-08,2013-05-09,0,0,1057,0,0 +10022,louvens jean,louvens,jean,2014-06-25,Male,1984-10-12,31,25 - 45,African-American,0,6,1,0,6,27,2014-07-22 09:26:47,2014-09-09 05:03:17,13021490MM10A,2013-09-07,,291,M,Battery,1,14009996CF10A,(F1),0,2014-07-22,Robbery W/Firearm,2014-07-22,2014-09-09,,1,14009996CF10A,(F1),2014-07-22,Robbery W/Firearm,Risk of Recidivism,6,Medium,2014-06-25,Risk of Violence,8,High,2014-06-25,2014-07-22,2014-09-09,6,0,27,1,1 +10025,james render,james,render,2013-11-19,Male,1994-04-11,22,Less than 25,African-American,0,4,0,0,0,-5,2013-11-14 06:33:00,2013-11-19 10:37:20,13015823CF10A,2013-11-13,,6,F,Dealing in Stolen Property,1,14011520MM10A,(M1),0,2014-07-29,Petit Theft $100- $300,2014-07-29,2014-08-31,,0,,,,,Risk of Recidivism,4,Low,2013-11-19,Risk of Violence,6,Medium,2013-11-19,2014-07-29,2014-08-31,0,0,252,1,1 +10027,priscilla pierce,priscilla,pierce,2013-10-29,Female,1970-02-12,46,Greater than 45,African-American,0,6,0,0,4,-56,2013-09-03 10:53:16,2013-10-29 10:16:41,13012440CF10A,,2013-09-03,56,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-29,Risk of Violence,3,Low,2013-10-29,2014-06-04,2014-07-30,4,0,218,0,0 +10028,vincent dukes,vincent,dukes,2014-01-14,Male,1962-09-25,53,Greater than 45,African-American,0,9,0,0,3,-241,2013-05-18 08:26:07,2013-12-10 10:30:00,06001402MM40A,,2006-06-28,2757,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-14,Risk of Violence,3,Low,2014-01-14,2014-10-03,2014-12-18,3,0,262,0,0 +10029,kevin maitland,kevin,maitland,2013-11-09,Male,1962-04-18,54,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-09 03:27:48,2013-11-09 11:53:54,13015632CF10A,2013-11-08,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-09,Risk of Violence,1,Low,2013-11-09,2013-11-09,2013-11-09,0,0,874,0,0 +10032,jean sala,jean,sala,2014-02-24,Female,1979-01-27,37,25 - 45,Caucasian,0,2,0,0,5,-36,2014-01-19 01:16:18,2014-02-21 07:43:47,14000818CF10A,2014-01-18,,37,F,Grand Theft in the 3rd Degree,1,14016732TC20A,(M2),,2014-03-04,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-04-28,2014-05-24,5,0,8,1,1 +10033,latosha rattray,latosha,rattray,2013-02-06,Female,1980-12-12,35,25 - 45,African-American,0,6,0,0,7,-1,2013-02-05 09:43:24,2013-02-07 09:37:23,12013834CF10A,,2013-02-05,1,F,arrest case no charge,1,13010536CF10A,(M1),0,2013-07-27,Possess Cannabis/20 Grams Or Less,2013-07-27,2013-07-28,,1,13010536CF10A,(F3),2013-07-27,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2013-02-06,Risk of Violence,2,Low,2013-02-06,2013-07-27,2013-07-28,7,1,171,1,1 +10035,theodore evans,theodore,evans,2013-12-25,Female,1963-02-07,53,Greater than 45,African-American,0,5,0,0,0,-1,2013-12-24 02:24:05,2013-12-25 12:32:56,13017753CF10A,2013-12-24,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-25,Risk of Violence,1,Low,2013-12-25,2013-12-24,2013-12-25,0,0,828,0,0 +10036,byron wright,byron,wright,2013-01-29,Male,1989-06-13,26,25 - 45,African-American,0,4,0,0,9,-1,2013-01-28 06:59:53,2013-01-30 04:16:27,13002013MM10A,2013-01-28,,1,M,Petit Theft,1,13008037MM10A,(M1),0,2013-04-07,Possess Cannabis/20 Grams Or Less,2013-04-07,2013-04-08,,1,13010718CF10A,(F2),2013-07-31,Aggravated Battery / Pregnant,Risk of Recidivism,4,Low,2013-01-29,Risk of Violence,4,Low,2013-01-29,2013-04-07,2013-04-08,9,1,68,1,1 +10037,steven johnson,steven,johnson,2013-05-26,Male,1967-10-05,48,Greater than 45,African-American,0,4,0,0,7,-1,2013-05-25 04:11:25,2013-05-29 11:55:15,13010066MM10A,2013-05-25,,1,M,Susp Drivers Lic 1st Offense,1,14000942MM40A,(M1),,2014-01-11,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-26,Risk of Violence,2,Low,2013-05-26,2013-05-25,2013-05-29,7,3,230,1,1 +10039,ernest johnson,ernest,johnson,2013-02-15,Male,1952-10-12,63,Greater than 45,African-American,0,9,0,0,22,272,2013-11-14 01:35:20,2013-11-23 12:14:41,12019235MM10A,2012-09-18,,150,M,Trespass Struct/Convey Occupy,1,13015839CF10A,(F3),0,2013-11-14,Felony Petit Theft,2013-11-14,2013-11-23,,0,,,,,Risk of Recidivism,9,High,2013-02-15,Risk of Violence,5,Medium,2013-02-15,2013-11-14,2013-11-23,22,0,272,1,1 +10040,sheron williams,sheron,williams,2013-11-17,Female,1959-08-15,56,Greater than 45,African-American,0,1,0,0,2,-1,2013-11-16 05:35:13,2013-11-17 01:53:31,13021588MM10A,2013-11-16,,1,M,Driving Under The Influence,1,14003431TC20A,(M2),,2014-01-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-17,Risk of Violence,1,Low,2013-11-17,2013-11-16,2013-11-17,2,0,53,1,1 +10042,owen fowler,owen,fowler,2013-08-29,Male,1990-09-16,25,25 - 45,African-American,0,7,0,0,6,0,2013-08-29 05:19:21,2013-08-29 08:03:30,13012222CF10A,2013-08-29,,0,F,"Poss 3,4 MDMA (Ecstasy)",1,13017649CF10A,(F2),0,2013-12-22,Robbery / No Weapon,2013-12-22,2014-01-16,,1,13017649CF10A,(F2),2013-12-22,Robbery / No Weapon,Risk of Recidivism,7,Medium,2013-08-29,Risk of Violence,4,Low,2013-08-29,2013-09-20,2013-09-30,6,0,22,0,1 +10043,kim aragona,kim,aragona,2013-03-23,Female,1967-03-10,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-23 12:39:51,2013-03-23 07:51:22,13004216CF10A,2013-03-22,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-23,Risk of Violence,1,Low,2013-03-23,2013-03-23,2013-03-23,0,0,1105,0,0 +10044,ruperto marroquincamacho,ruperto,marroquincamacho,2013-10-19,Male,1982-01-14,34,25 - 45,Caucasian,0,2,0,0,0,-1,2013-10-18 05:04:38,2013-11-17 03:46:08,13019763MM10A,2013-10-18,,1,M,Susp Drivers Lic 1st Offense,1,15009777CF10A,(M1),0,2015-07-29,Opert With Susp DL 2nd Offens,2015-07-29,2015-08-01,,0,,,,,Risk of Recidivism,2,Low,2013-10-19,Risk of Violence,1,Low,2013-10-19,2015-07-29,2015-08-01,0,29,648,1,1 +10045,roger richards,roger,richards,2014-06-13,Male,1995-01-27,21,Less than 25,African-American,0,6,0,0,0,-1,2014-06-12 07:39:27,2014-06-13 08:48:17,14009320MM10A,2014-06-12,,1,M,Battery,1,15016348CF10A,(M1),0,2015-12-22,Resist/Obstruct W/O Violence,2015-12-22,2020-01-01,,0,,,,,Risk of Recidivism,6,Medium,2014-06-13,Risk of Violence,9,High,2014-06-13,2015-12-22,2020-01-01,0,0,557,1,1 +10046,josiah hoffman,josiah,hoffman,2014-08-04,Male,1992-10-10,23,Less than 25,Caucasian,0,6,0,0,0,-3,2014-08-01 05:41:09,2014-08-03 01:09:00,14010518CF10A,2014-08-01,,3,F,Trespassing/Construction Site,1,15001366CF10A,(F2),0,2015-01-29,Sell Cannabis 1000FTSch,2015-01-29,2015-02-13,,0,,,,,Risk of Recidivism,6,Medium,2014-08-04,Risk of Violence,5,Medium,2014-08-04,2015-01-29,2015-02-13,0,0,178,1,1 +10047,daryl junck,daryl,junck,2013-03-01,Male,1958-05-05,57,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-02-27 09:46:46,2013-02-27 07:21:49,13002997CF10A,,2013-02-27,2,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-02-27,2013-02-27,0,0,1127,0,0 +10048,joshua estrella,joshua,estrella,2014-08-20,Male,1986-11-30,29,25 - 45,Caucasian,0,5,1,0,8,-91,2014-05-21 12:07:49,2014-05-30 03:27:56,14001336CF10A,,2014-05-21,91,F,arrest case no charge,1,14076163TC30A,(M2),,2014-09-02,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,5,Medium,2014-08-20,Risk of Violence,3,Low,2014-08-20,2014-05-21,2014-05-30,8,0,13,1,1 +10050,fabienne joseph,fabienne,joseph,2013-02-06,Female,1982-02-12,34,25 - 45,Other,0,2,0,0,0,212,2013-09-06 01:01:59,2013-09-19 11:14:20,13001778CF10A,2013-02-05,,1,F,Felony Battery (Dom Strang),1,15012384CF10A,(F2),161,2015-06-12,Aggravated Battery / Pregnant,2015-11-20,2015-11-25,,1,15012384CF10A,(F2),2015-06-12,Aggravated Battery / Pregnant,Risk of Recidivism,2,Low,2013-02-06,Risk of Violence,1,Low,2013-02-06,2013-09-06,2013-09-19,0,0,212,0,0 +10051,gregory schmidt,gregory,schmidt,2014-03-09,Male,1990-08-27,25,25 - 45,Caucasian,0,10,0,0,5,-1,2014-03-08 07:11:38,2014-04-12 08:35:12,14003296CF10A,2014-03-08,,1,F,Possession of Oxycodone,1,14012121CF10A,(M1),1,2014-09-04,Petit Theft $100- $300,2014-09-05,2015-04-07,,1,16002414CF10A,(F3),2015-12-31,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2014-03-09,Risk of Violence,5,Medium,2014-03-09,2014-03-08,2014-04-12,5,34,179,1,1 +10052,marcus johnson,marcus,johnson,2014-03-28,Female,1974-03-26,42,25 - 45,African-American,0,5,0,0,1,-1,2014-03-27 11:06:29,2014-03-28 01:10:38,14004358CF10A,2014-03-27,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-28,Risk of Violence,4,Low,2014-03-28,2014-03-27,2014-03-28,1,0,735,0,0 +10054,edwin nesbitt,edwin,nesbitt,2013-04-30,Male,1965-01-08,51,Greater than 45,African-American,0,5,0,0,1,0,2013-04-30 03:07:58,2013-04-30 07:51:46,13006194CF10A,2013-04-30,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-30,2013-04-30,1,0,1067,0,0 +10055,daniel baptiste,daniel,baptiste,2014-01-09,Male,1989-11-08,26,25 - 45,African-American,0,7,0,0,7,,,,11014497CF10A,2011-08-25,,868,F,Sell Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-09,Risk of Violence,7,Medium,2014-01-09,,,7,0,813,0,0 +10056,sheldon smellie,sheldon,smellie,2013-05-01,Male,1984-11-19,31,25 - 45,Other,0,2,1,0,5,0,2013-05-01 05:24:33,2013-05-02 12:30:07,13008467MM10A,2013-05-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-05-01,2013-05-02,5,1,1066,0,0 +10057,keandre twiggs,keandre,twiggs,2013-02-19,Male,1982-03-14,34,25 - 45,African-American,0,8,1,0,9,,,,07013022CF10A,,2009-05-02,1389,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-19,Risk of Violence,7,Medium,2013-02-19,,,9,0,1137,0,0 +10058,jeffrey simmons,jeffrey,simmons,2013-01-23,Male,1963-01-13,53,Greater than 45,African-American,0,5,0,0,13,-1,2013-01-22 09:49:03,2013-01-24 05:38:32,11011337MM10A,,2013-01-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-23,Risk of Violence,3,Low,2013-01-23,2016-03-01,2020-01-01,13,1,1133,0,0 +10059,christy harris,christy,harris,2013-01-19,Female,1972-11-13,43,25 - 45,African-American,0,7,0,0,6,0,2013-01-19 02:59:22,2013-01-19 06:49:07,13000900CF10A,2013-01-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-19,Risk of Violence,3,Low,2013-01-19,2013-01-19,2013-01-19,6,0,1168,0,0 +10061,justin warner,justin,warner,2014-03-17,Male,1981-09-17,34,25 - 45,African-American,0,1,0,0,0,-3,2014-03-14 08:24:54,2014-03-15 11:00:52,14003635CF10A,2014-03-14,,3,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,2,Low,2014-03-17,2014-03-14,2014-03-15,0,0,746,0,0 +10062,jacqueline milhomme,jacqueline,milhomme,2014-11-25,Female,1988-08-05,27,25 - 45,Caucasian,0,5,0,0,2,0,2014-11-25 01:37:56,2014-11-25 02:04:18,14015802CF10A,2014-11-24,,1,F,Grand Theft in the 3rd Degree,1,15017534MU10A,(M1),0,2015-06-11,Driving Under The Influence,2015-06-11,2015-06-19,,0,,,,,Risk of Recidivism,5,Medium,2014-11-25,Risk of Violence,2,Low,2014-11-25,2015-06-11,2015-06-19,2,0,198,1,1 +10064,medius clermontvil,medius,clermontvil,2014-01-02,Male,1964-06-19,51,Greater than 45,African-American,0,1,0,0,0,-1,2014-01-01 10:17:16,2014-01-07 05:52:03,14000031MU10A,2014-01-01,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2014-01-01,2014-01-07,0,5,820,0,0 +10065,joseph walls,joseph,walls,2013-09-30,Male,1989-09-06,26,25 - 45,Caucasian,0,4,0,0,1,-1,2013-09-29 03:52:04,2013-09-30 03:51:12,13018484MM10A,2013-09-29,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,3,Low,2013-09-30,2013-09-29,2013-09-30,1,0,914,0,0 +10066,larry jones,larry,jones,2014-01-12,Male,1968-12-10,47,Greater than 45,African-American,0,6,0,0,5,-1,2014-01-11 08:21:16,2014-01-13 11:49:59,14000487CF10A,2014-01-11,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-12,Risk of Violence,1,Low,2014-01-12,2014-01-11,2014-01-13,5,1,810,0,0 +10068,daniel berrios,daniel,berrios,2013-03-29,Male,1993-09-17,22,Less than 25,Caucasian,0,4,0,1,0,-1,2013-03-28 03:18:17,2013-03-29 01:00:12,13004481CF10A,2013-03-28,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-29,Risk of Violence,5,Medium,2013-03-29,2013-03-28,2013-03-29,0,0,1099,0,0 +10069,katherine soto,katherine,soto,2013-02-22,Female,1979-07-25,36,25 - 45,Caucasian,0,2,0,0,0,0,2013-02-22 01:45:11,2013-02-23 02:08:52,13002757CF10A,2013-02-22,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-02-22,2013-02-23,0,1,1134,0,0 +10071,amy matos,amy,matos,2014-01-01,Female,1980-02-06,36,25 - 45,Hispanic,0,3,0,0,1,0,2014-01-01 03:20:24,2014-01-02 12:43:01,14000038MM10A,2014-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-01,Risk of Violence,1,Low,2014-01-01,2014-01-01,2014-01-02,1,1,821,0,0 +10072,david riffle,david,riffle,2013-12-16,Male,1974-08-16,41,25 - 45,Caucasian,0,3,0,0,4,-3,2013-12-13 05:35:39,2013-12-14 01:57:44,13017255CF10A,2013-12-13,,3,F,Possession Of Heroin,1,14007414MM10A,(M1),0,2014-05-05,Trespass Other Struct/Conve,2014-05-05,2014-08-06,,0,,,,,Risk of Recidivism,3,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2014-05-05,2014-08-06,4,0,140,1,1 +10073,tina green,tina,green,2014-01-16,Male,1978-09-25,37,25 - 45,African-American,0,2,0,0,2,,,,13011810MM10A,2012-08-20,,514,M,Compulsory Attendance Violation,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-16,Risk of Violence,2,Low,2014-01-16,,,2,0,806,0,0 +10076,deshaud johnson,deshaud,johnson,2013-08-08,Male,1994-12-16,21,Less than 25,African-American,0,4,0,0,2,-34,2013-07-05 03:20:23,2013-08-08 11:01:12,13009448CF10A,2013-07-05,,34,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-08,Risk of Violence,6,Medium,2013-08-08,2013-07-05,2013-08-08,2,0,967,0,0 +10077,floyd taylor,floyd,taylor,2013-02-27,Male,1990-12-22,25,25 - 45,African-American,0,6,3,1,6,-1,2013-02-26 07:19:35,2013-02-27 01:47:04,13003995MM10A,2013-02-26,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-27,Risk of Violence,7,Medium,2013-02-27,2013-02-26,2013-02-27,6,0,1129,0,0 +10078,alex velazquezmontalvo,alex,velazquezmontalvo,2014-12-30,Male,1988-07-09,27,25 - 45,Hispanic,0,4,0,0,1,284,2015-10-10 03:19:34,2015-10-13 09:13:04,12000304CF10A,2012-01-07,,1088,F,Possession of Hydrocodone,1,15010602MM10A,(M1),0,2015-10-10,Battery,2015-10-10,2015-10-13,,1,15010602MM10A,(M1),2015-10-10,Battery,Risk of Recidivism,4,Low,2014-12-30,Risk of Violence,3,Low,2014-12-30,2015-10-10,2015-10-13,1,0,284,1,1 +10079,masiely garcia,masiely,garcia,2014-02-14,Female,1984-08-02,31,25 - 45,Hispanic,0,3,0,0,2,-1,2014-02-13 07:56:32,2014-02-14 10:29:06,14002074CF10A,2014-02-13,,1,F,Drivg While Lic Suspd/Revk/Can,1,15000754CF10A,(F3),0,2015-01-17,Driving While License Revoked,2015-01-17,2015-01-17,,0,,,,,Risk of Recidivism,3,Low,2014-02-14,Risk of Violence,1,Low,2014-02-14,2015-01-17,2015-01-17,2,0,337,0,1 +10081,christopher bush,christopher,bush,2013-04-29,Male,1991-11-04,24,Less than 25,African-American,0,8,0,1,7,-97,2013-01-22 02:25:22,2013-04-29 12:20:18,13001488MM10A,2013-01-22,,97,M,Prowling/Loitering,1,13018329MM10A,(M1),1,2013-09-26,Resist/Obstruct W/O Violence,2013-09-27,2013-10-28,,0,,,,,Risk of Recidivism,8,High,2013-04-29,Risk of Violence,9,High,2013-04-29,2015-05-27,2015-07-22,7,0,150,1,1 +10083,corey ackerman,corey,ackerman,2014-03-24,Male,1982-04-25,33,25 - 45,Caucasian,0,1,0,0,0,-2,2014-03-22 09:56:34,2014-03-23 09:11:43,14005003MM10A,2014-03-22,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-24,Risk of Violence,1,Low,2014-03-24,2014-03-22,2014-03-23,0,0,739,0,0 +10084,josh gamali,josh,gamali,2013-01-11,Male,1969-08-10,46,Greater than 45,Caucasian,0,5,0,0,5,,,,09000911CF10A,,2012-11-07,65,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-11,Risk of Violence,6,Medium,2013-01-11,,,5,0,1176,0,0 +10086,victoria boone,victoria,boone,2014-12-11,Female,1971-10-22,44,25 - 45,Caucasian,0,2,0,0,3,0,2014-12-11 02:42:35,2014-12-22 07:52:05,14016448CF10A,2014-12-10,,1,F,Poss Pyrrolidinovalerophenone,1,16002666CF10A,(F3),1,2016-03-01,,2016-03-02,2016-04-15,,0,,,,,Risk of Recidivism,2,Low,2014-12-11,Risk of Violence,1,Low,2014-12-11,2014-12-11,2014-12-22,3,11,446,1,1 +10087,eduardo garcia,eduardo,garcia,2013-01-17,Male,1970-02-03,46,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-01-16 05:49:01,2013-01-17 01:25:23,13000781CF10A,2013-01-16,,1,F,Aggravated Assault W/dead Weap,1,15002567MM10A,(M1),,2015-01-13,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-17,Risk of Violence,1,Low,2013-01-17,2013-01-16,2013-01-17,0,0,726,1,1 +10088,marissa moore,marissa,moore,2013-02-21,Female,1987-06-15,28,25 - 45,African-American,0,2,0,0,1,-1,2013-02-20 07:08:26,2013-02-21 02:17:32,13002603CF10A,2013-02-20,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-21,Risk of Violence,2,Low,2013-02-21,2013-02-20,2013-02-21,1,0,1135,0,0 +10091,christopher parris,christopher,parris,2013-10-12,Male,1987-12-25,28,25 - 45,African-American,1,5,0,0,5,-1,2013-10-11 10:21:51,2014-03-31 09:15:58,13014398CF10A,,2013-10-11,1,F,arrest case no charge,1,13014398CF10A,(F3),,2013-11-08,Stalking (Aggravated),,,,1,13014398CF10A,(F3),2013-11-08,Stalking (Aggravated),Risk of Recidivism,5,Medium,2013-10-12,Risk of Violence,5,Medium,2013-10-12,2013-10-11,2014-03-31,5,0,27,1,1 +10092,linda edwards,linda,edwards,2013-02-22,Male,1949-07-24,66,Greater than 45,African-American,0,2,0,0,5,-1,2013-02-21 09:13:47,2013-02-22 01:25:58,13002668CF10A,2013-02-21,,1,F,Possession of Cocaine,1,14000303CF10A,(M1),0,2014-01-06,Resist/Obstruct W/O Violence,2014-01-06,2014-01-09,,0,,,,,Risk of Recidivism,2,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2014-01-06,2014-01-09,5,0,318,1,1 +10094,nicholas rodriguez-bustios,nicholas,rodriguez-bustios,2013-12-28,Male,1995-09-12,20,Less than 25,Caucasian,0,3,0,0,0,0,2013-12-28 04:39:38,2013-12-28 01:09:58,13017909CF10A,2013-12-28,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-28,Risk of Violence,6,Medium,2013-12-28,2013-12-28,2013-12-28,0,0,825,0,0 +10095,frederick newbold,frederick,newbold,2014-02-22,Male,1988-05-12,27,25 - 45,African-American,0,3,0,0,2,-1,2014-02-21 11:56:38,2014-02-22 08:20:38,14002479CF10A,2014-02-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-22,Risk of Violence,3,Low,2014-02-22,2014-02-21,2014-02-22,2,0,769,0,0 +10096,tressing blake,tressing,blake,2014-03-13,Female,1991-07-28,24,Less than 25,Other,0,4,0,0,0,-1,2014-03-12 04:58:21,2014-03-13 09:56:12,14003527CF10A,2014-03-12,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-13,Risk of Violence,4,Low,2014-03-13,2014-03-12,2014-03-13,0,0,750,0,0 +10097,moriach deus,moriach,deus,2013-12-09,Male,1990-08-30,25,25 - 45,African-American,0,3,0,0,3,-1,2013-12-08 10:31:26,2013-12-14 05:52:52,13016980CF10A,2013-12-08,,1,F,Aggravated Battery / Pregnant,1,14011823CF10A,(F2),0,2014-08-29,Burglary Unoccupied Dwelling,2014-08-29,2014-10-10,,0,,,,,Risk of Recidivism,3,Low,2013-12-09,Risk of Violence,4,Low,2013-12-09,2014-08-29,2014-10-10,3,5,263,1,1 +10105,alexander semino,alexander,semino,2013-03-07,Male,1984-05-22,31,25 - 45,Caucasian,0,9,0,0,8,-31,2013-02-04 05:49:21,2013-03-04 10:55:34,13002537MM10A,2013-02-04,,31,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-07,Risk of Violence,2,Low,2013-03-07,2013-02-04,2013-03-04,8,0,1121,0,0 +10107,dushane detrie,dushane,detrie,2013-06-14,Female,1977-01-06,39,25 - 45,African-American,0,5,0,0,1,7,2013-06-21 12:08:12,2013-08-23 05:50:00,12009221CF10A,,2013-02-13,121,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-14,Risk of Violence,5,Medium,2013-06-14,2013-06-21,2013-08-23,1,0,7,0,0 +10110,jemeil mccall,jemeil,mccall,2013-04-23,Female,1975-04-09,41,25 - 45,African-American,0,4,0,0,7,0,2013-04-23 01:10:40,2013-04-24 04:01:56,13008373CF10A,2013-04-23,,0,F,Possession of Cannabis,1,13006826CF10A,(F3),0,2013-05-13,Possession of Hydrocodone,2013-05-13,2013-06-28,,0,,,,,Risk of Recidivism,4,Low,2013-04-23,Risk of Violence,2,Low,2013-04-23,2013-05-13,2013-06-28,7,1,20,1,1 +10111,alon cambridge,alon,cambridge,2013-03-06,Male,1989-07-16,26,25 - 45,African-American,0,2,0,0,0,-1,2013-03-05 06:19:03,2013-03-06 07:39:50,13003319CF10A,2013-03-05,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-06,Risk of Violence,3,Low,2013-03-06,2013-03-05,2013-03-06,0,0,1122,0,0 +10112,henry ducamel,henry,ducamel,2014-09-11,Male,1990-10-07,25,25 - 45,African-American,0,5,0,0,2,-27,2014-08-15 11:06:07,2014-08-16 08:22:20,14012318MM10A,2014-08-15,,27,M,Operating W/O Valid License,1,16001600MM10A,(M1),0,2016-02-13,Unlaw Use False Name/Identity,2016-02-13,2016-02-14,,0,,,,,Risk of Recidivism,5,Medium,2014-09-11,Risk of Violence,4,Low,2014-09-11,2016-02-13,2016-02-14,2,0,520,1,1 +10115,jonathan smith,jonathan,smith,2013-07-31,Male,1981-01-19,35,25 - 45,African-American,0,2,0,0,5,,,,09013475CF10A,2009-07-20,,1472,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-31,Risk of Violence,2,Low,2013-07-31,,,5,0,975,0,0 +10118,william aguront,william,aguront,2014-03-27,Male,1960-06-06,55,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-26 11:17:06,2014-03-27 01:36:50,14005235MM10A,2014-03-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-27,Risk of Violence,1,Low,2014-03-27,2014-03-26,2014-03-27,0,0,736,0,0 +10119,tariq smith,tariq,smith,2013-01-21,Male,1994-02-19,22,Less than 25,African-American,0,9,0,0,2,0,2013-01-21 01:39:38,2013-01-27 05:17:34,13000942CF10A,2013-01-20,,1,F,Grand Theft Dwell Property,1,13006964MM10A,(M2),0,2013-04-10,Prowling/Loitering,2013-04-10,2013-04-20,,0,,,,,Risk of Recidivism,9,High,2013-01-21,Risk of Violence,10,High,2013-01-21,2013-02-20,2013-03-26,2,6,30,0,1 +10120,emily noronha,emily,noronha,2013-10-15,Female,1986-09-25,29,25 - 45,Other,0,2,0,0,2,0,2013-10-15 12:54:16,2013-10-15 09:17:38,13019506MM10A,2013-10-14,,1,M,Battery,1,14001308MM10A,(M2),,2013-11-10,Disorderly Intoxication,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-15,Risk of Violence,2,Low,2013-10-15,2015-10-09,2015-10-09,2,0,26,1,1 +10121,devondrea wilcher,devondrea,wilcher,2013-12-04,Male,1990-06-28,25,25 - 45,African-American,0,9,0,0,7,0,2013-12-04 03:57:48,2013-12-04 07:52:33,13016753CF10A,2013-12-03,,1,F,Burglary Conveyance Unoccup,1,15008869MM10A,(M1),0,2015-08-23,Resist/Obstruct W/O Violence,2015-08-23,2015-08-24,,0,,,,,Risk of Recidivism,9,High,2013-12-04,Risk of Violence,9,High,2013-12-04,2013-12-12,2014-01-25,7,0,8,0,1 +10123,scott thompson,scott,thompson,2014-03-03,Male,1966-01-28,50,Greater than 45,Caucasian,0,6,0,0,18,171,2014-08-21 10:01:12,2014-09-23 06:13:54,12020358MM10A,2012-08-03,,577,M,Petit Theft $100- $300,1,15015069CF10A,(F3),0,2015-11-20,Grand Theft in the 3rd Degree,2015-11-20,2015-11-21,,0,,,,,Risk of Recidivism,6,Medium,2014-03-03,Risk of Violence,3,Low,2014-03-03,2014-08-21,2014-09-23,18,0,171,0,1 +10124,danielle camargo,danielle,camargo,2013-12-10,Female,1989-03-23,27,25 - 45,Caucasian,0,2,0,0,2,,,,12140584TC30A,2012-10-06,,430,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-10,Risk of Violence,4,Low,2013-12-10,,,2,0,843,0,0 +10125,francisco huerta,francisco,huerta,2014-07-20,Male,1966-04-02,50,Greater than 45,Hispanic,0,1,0,0,5,-1,2014-07-19 05:07:48,2014-07-23 03:00:15,14009885CF10A,2014-07-19,,1,F,Felony Driving While Lic Suspd,1,14016704MM10A,(M1),0,2014-11-23,Battery,2014-11-23,2014-11-24,,1,14016704MM10A,(M1),2014-11-23,Battery,Risk of Recidivism,1,Low,2014-07-20,Risk of Violence,1,Low,2014-07-20,2014-11-23,2014-11-24,5,3,126,1,1 +10126,katlyn lauer,katlyn,lauer,2014-08-07,Female,1995-04-25,20,Less than 25,Caucasian,0,6,0,0,0,-1,2014-08-06 11:23:16,2014-08-07 07:57:30,14011926MM10A,2014-08-06,,1,M,Battery,1,15039982TC30A,(M2),,2015-05-27,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,6,Medium,2014-08-07,Risk of Violence,6,Medium,2014-08-07,2015-08-12,2015-08-13,0,0,293,1,1 +10127,frank moore,frank,moore,2013-05-11,Male,1959-05-09,56,Greater than 45,Caucasian,0,7,0,0,5,-1,2013-05-10 10:14:08,2013-05-11 06:45:31,13006713MO10A,,2013-05-10,1,M,arrest case no charge,1,15013112MM10A,(M1),,2015-12-20,Resist/Obstruct W/O Violence,,,,1,16000007CF10A,(F3),2015-12-31,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-05-11,Risk of Violence,3,Low,2013-05-11,2013-07-09,2013-07-10,5,0,59,0,0 +10129,orville walters,orville,walters,2013-02-14,Male,1990-10-29,25,25 - 45,African-American,0,8,0,0,5,-1,2013-02-13 09:14:45,2013-02-14 08:42:31,13002258CF10A,2013-02-13,,1,F,Pos Cannabis W/Intent Sel/Del,1,14031416TC30A,(M2),,2014-03-16,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2013-02-14,Risk of Violence,7,Medium,2013-02-14,2013-02-13,2013-02-14,5,0,395,1,1 +10130,ruth battiste,ruth,battiste,2013-10-26,Female,1968-01-28,48,Greater than 45,African-American,0,1,0,0,1,-1,2013-10-25 07:58:22,2013-10-26 01:19:41,87018952CF10A,1987-11-07,,9485,F,Possess Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-26,Risk of Violence,1,Low,2013-10-26,2013-10-25,2013-10-26,1,0,888,0,0 +10131,vashay johnson,vashay,johnson,2013-02-19,Male,1994-05-21,21,Less than 25,African-American,0,9,0,0,1,-1,2013-02-18 07:28:38,2013-02-20 03:44:17,13002481CF10A,2013-02-18,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-19,Risk of Violence,10,High,2013-02-19,2013-03-25,2013-04-15,1,1,34,0,0 +10132,maria santiago,maria,santiago,2014-04-16,Male,1985-01-21,31,25 - 45,Caucasian,0,1,0,0,2,0,2014-04-16 12:32:01,2014-05-20 04:47:12,14006432MM10A,2014-04-15,,1,M,Battery,1,14009051MM10A,(M1),1,2014-06-06,Tresspass in Struct/Convey Occupy,2014-06-07,2014-07-03,,0,,,,,Risk of Recidivism,1,Low,2014-04-16,Risk of Violence,2,Low,2014-04-16,2014-04-16,2014-05-20,2,34,51,1,1 +10133,kevin lutz,kevin,lutz,2013-08-15,Male,1980-06-23,35,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-14 04:31:57,2013-08-14 08:03:04,13015388MM10A,2013-08-14,,1,M,Expired DL More Than 6 Months,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-15,Risk of Violence,2,Low,2013-08-15,2013-08-14,2013-08-14,0,0,960,0,0 +10134,joshua morales,joshua,morales,2013-02-15,Male,1990-12-03,25,25 - 45,Hispanic,0,7,0,0,6,-1,2013-02-14 05:35:38,2013-03-26 05:01:11,13003246MM10A,2013-02-14,,1,M,Battery,1,14000069TC40A,(M2),176,2013-12-18,Operating W/O Valid License,2014-06-12,2014-06-17,,0,,,,,Risk of Recidivism,7,Medium,2013-02-15,Risk of Violence,8,High,2013-02-15,2013-02-14,2013-03-26,6,39,306,1,1 +10136,lakavious drummond,lakavious,drummond,2014-08-02,Male,1982-01-09,34,25 - 45,African-American,0,3,0,0,2,-1,2014-08-01 03:44:21,2014-08-02 01:25:20,14010523CF10A,2014-08-01,,1,F,Carrying Concealed Firearm,1,15009499MM10A,(M1),0,2015-08-04,Resist/Obstruct W/O Violence,2015-08-04,2015-08-05,,0,,,,,Risk of Recidivism,3,Low,2014-08-02,Risk of Violence,2,Low,2014-08-02,2015-08-04,2015-08-05,2,0,367,1,1 +10137,jean louidor,jean,louidor,2014-01-07,Male,1984-03-01,32,25 - 45,African-American,0,7,0,0,0,-1,2014-01-06 11:10:48,2014-01-31 03:41:01,14000240CF10A,2014-01-06,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-07,Risk of Violence,4,Low,2014-01-07,2014-01-06,2014-01-31,0,24,815,0,0 +10138,yoalbert francocoa,yoalbert,francocoa,2014-01-24,Male,1982-07-20,33,25 - 45,Hispanic,0,2,0,0,1,-90,2013-10-26 08:54:45,2013-12-12 04:56:35,13020323MM10A,2013-10-26,,90,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-24,Risk of Violence,4,Low,2014-01-24,2013-10-26,2013-12-12,1,0,798,0,0 +10139,tiffany taylor,tiffany,taylor,2014-06-08,Female,1984-10-05,31,25 - 45,African-American,0,3,0,0,1,0,2014-06-08 12:19:50,2014-07-12 04:07:59,14007925CF10A,2014-06-07,,1,F,Felony Battery (Dom Strang),1,14015752MM10A,(M1),0,2014-08-27,Extradition/Defendants,2014-08-27,2015-08-21,,0,,,,,Risk of Recidivism,3,Low,2014-06-08,Risk of Violence,1,Low,2014-06-08,2014-08-27,2015-08-21,1,34,80,1,1 +10141,keston caraballo,keston,caraballo,2014-05-08,Male,1987-01-05,29,25 - 45,African-American,0,6,0,0,6,67,2014-07-14 09:49:55,2014-08-28 11:08:32,12005660CF10A,,2014-02-04,93,F,arrest case no charge,1,16000012MM40A,(M1),,2015-11-21,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2014-05-08,Risk of Violence,4,Low,2014-05-08,2014-07-14,2014-08-28,6,0,67,0,1 +10142,pascal gilles,pascal,gilles,2014-03-03,Male,1990-12-29,25,25 - 45,African-American,0,8,0,0,2,-96,2013-11-27 09:34:00,2014-01-28 11:23:47,13007341CF10A,,2013-11-27,96,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-03,Risk of Violence,6,Medium,2014-03-03,2013-11-27,2014-01-28,2,0,760,0,0 +10143,joshua staley,joshua,staley,2013-05-14,Male,1989-09-14,26,25 - 45,African-American,0,8,0,0,13,31,2013-06-14 04:52:53,2013-06-25 08:13:32,13000765MM10A,2013-01-12,,122,M,Unlawful Use Of Police Badges,1,16002870MM10A,(M1),0,2016-03-28,,2016-03-28,2016-03-29,,0,,,,,Risk of Recidivism,8,High,2013-05-14,Risk of Violence,5,Medium,2013-05-14,2013-06-14,2013-06-25,13,0,31,0,0 +10145,yoleida santiago,yoleida,santiago,2014-02-08,Female,1971-08-30,44,25 - 45,Hispanic,0,1,0,0,0,-1,2014-02-07 01:15:55,2014-02-08 09:36:04,14002174MM10A,2014-02-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-08,Risk of Violence,1,Low,2014-02-08,2014-02-07,2014-02-08,0,0,783,0,0 +10148,brandon montgomery,brandon,montgomery,2013-12-05,Male,1984-05-10,31,25 - 45,African-American,0,7,0,0,11,0,2013-12-05 02:46:54,2013-12-06 04:00:00,13022574MM10A,2013-12-04,,1,M,Battery,1,14012827MM10A,(M1),0,2014-08-27,Unlaw Use False Name/Identity,2014-08-27,2014-08-27,,0,,,,,Risk of Recidivism,7,Medium,2013-12-05,Risk of Violence,7,Medium,2013-12-05,2014-08-27,2014-08-27,11,1,265,0,1 +10150,darrius toliver,darrius,toliver,2014-04-17,Male,1987-09-01,28,25 - 45,African-American,0,2,0,0,3,-1,2014-04-16 02:36:17,2014-04-24 05:51:07,14005355CF10A,2014-04-16,,1,M,Petit Theft,1,14000952MM30A,(M2),,2014-06-07,Petit Theft,,,,0,,,,,Risk of Recidivism,2,Low,2014-04-17,Risk of Violence,3,Low,2014-04-17,2014-04-16,2014-04-24,3,7,51,1,1 +10151,heather ortegachin,heather,ortegachin,2013-06-24,Female,1968-11-03,47,Greater than 45,Hispanic,0,1,0,0,1,-61,2013-04-24 08:09:28,2013-04-26 10:39:26,13005878CF10A,2013-04-24,,61,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-24,Risk of Violence,1,Low,2013-06-24,2013-04-24,2013-04-26,1,0,1012,0,0 +10157,tammy dent,tammy,dent,2013-02-22,Female,1989-01-09,27,25 - 45,African-American,0,9,1,0,10,-1,2013-02-21 07:04:51,2013-03-08 05:36:47,13002667CF10A,,2013-02-21,1,F,arrest case no charge,1,13026777TC10A,(M2),,2013-06-20,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-02-22,Risk of Violence,8,High,2013-02-22,2013-02-21,2013-03-08,10,14,118,1,1 +10158,demetris lewis,demetris,lewis,2013-12-11,Male,1991-10-09,24,Less than 25,African-American,0,9,0,2,0,-1,2013-12-10 07:24:16,2013-12-17 01:43:43,13017077CF10A,2013-12-10,,1,F,Deliver Cocaine,1,14005752CF10A,(F2),12,2014-01-15,Deliver Cocaine,2014-01-27,2014-01-29,,0,,,,,Risk of Recidivism,9,High,2013-12-11,Risk of Violence,9,High,2013-12-11,2013-12-10,2013-12-17,0,6,35,1,1 +10159,christopher petinaud,christopher,petinaud,2013-11-04,Male,1966-09-19,49,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-03 02:19:59,2013-11-04 01:27:56,13015387CF10A,2013-11-03,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-04,Risk of Violence,1,Low,2013-11-04,2013-11-03,2013-11-04,0,0,879,0,0 +10161,brandi clay,brandi,clay,2013-11-17,Female,1975-08-21,40,25 - 45,Caucasian,0,2,0,0,0,0,2013-11-17 04:36:43,2013-11-17 07:27:46,13015985CF10A,2013-11-17,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-17,Risk of Violence,2,Low,2013-11-17,2013-11-17,2013-11-17,0,0,866,0,0 +10163,damion clark,damion,clark,2014-01-22,Male,1993-10-22,22,Less than 25,African-American,0,6,0,0,4,-12,2014-01-10 05:28:07,2014-01-11 01:47:04,14001431TC10A,2014-01-10,,12,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-22,Risk of Violence,5,Medium,2014-01-22,2014-01-10,2014-01-11,4,0,800,0,0 +10165,jeffrey williams,jeffrey,williams,2014-06-25,Male,1987-10-08,28,25 - 45,African-American,0,2,0,0,5,-1,2014-06-24 06:22:18,2014-06-27 09:51:57,14004144CF10A,,2014-06-25,0,F,arrest case no charge,1,14002721MM20A,(M1),280,2014-09-19,Possess Cannabis/20 Grams Or Less,2015-06-26,2015-10-22,,0,,,,,Risk of Recidivism,2,Low,2014-06-25,Risk of Violence,2,Low,2014-06-25,2014-06-24,2014-06-27,5,2,86,1,1 +10166,christine aghazadian,christine,aghazadian,2014-02-26,Female,1964-10-03,51,Greater than 45,Caucasian,0,1,0,0,1,-98,2013-11-20 08:48:32,2013-11-22 06:17:17,13016130CF10A,2013-11-20,,98,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2013-11-20,2013-11-22,1,0,765,0,0 +10167,masnik sainmelus,masnik,sainmelus,2014-03-25,Male,1991-10-09,24,Less than 25,African-American,0,6,0,0,2,-1,2014-03-24 02:37:23,2014-03-25 01:36:04,14004170CF10A,2014-03-24,,1,F,Possession of Hydromorphone,1,14013781MM10A,(M1),0,2014-09-16,Possess Cannabis/20 Grams Or Less,2014-09-16,2014-09-17,,0,,,,,Risk of Recidivism,6,Medium,2014-03-25,Risk of Violence,5,Medium,2014-03-25,2014-09-16,2014-09-17,2,0,175,1,1 +10168,john pereira,john,pereira,2013-10-31,Male,1966-08-07,49,Greater than 45,Caucasian,0,1,0,0,1,-26,2013-10-05 11:23:30,2013-10-06 08:39:07,13018953MM10A,2013-10-05,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-31,Risk of Violence,1,Low,2013-10-31,2013-10-05,2013-10-06,1,0,883,0,0 +10169,pedro sanchez,pedro,sanchez,2014-03-01,Male,1982-08-17,33,25 - 45,Caucasian,0,7,0,0,0,-1,2014-02-28 09:20:30,2014-03-24 08:41:32,14003505MM10A,2014-02-28,,1,M,Possess Cannabis/20 Grams Or Less,1,15001744MM40A,(M1),75,2015-04-16,Possess Cannabis/20 Grams Or Less,2015-06-30,2015-07-01,,0,,,,,Risk of Recidivism,7,Medium,2014-03-01,Risk of Violence,4,Low,2014-03-01,2014-02-28,2014-03-24,0,23,411,1,1 +10171,quintis bullock,quintis,bullock,2014-01-08,Male,1981-10-04,34,25 - 45,African-American,0,3,0,0,6,74,2014-03-23 02:30:13,2014-08-01 03:05:53,13014926CF10A,2013-10-25,,75,F,Deliver Cocaine,1,15010224TC10A,(M2),0,2015-03-30,Susp Drivers Lic 1st Offense,2015-03-30,2015-04-21,,0,,,,,Risk of Recidivism,3,Low,2014-01-08,Risk of Violence,1,Low,2014-01-08,2014-03-23,2014-08-01,6,0,74,0,1 +10173,chancy mallory,chancy,mallory,2013-08-14,Male,1985-07-26,30,25 - 45,African-American,0,8,0,1,8,-42,2013-07-03 08:03:26,2013-08-05 02:44:49,13012733MM10A,2013-07-03,,42,M,Battery,1,13015213CF10A,(F3),0,2013-10-31,Aggravated Assault w/Firearm,2013-10-31,2013-12-05,,1,13015213CF10A,(F3),2013-10-31,Aggravated Assault w/Firearm,Risk of Recidivism,8,High,2013-08-14,Risk of Violence,4,Low,2013-08-14,2013-10-31,2013-12-05,8,0,78,1,1 +10174,valerio perez,valerio,perez,2014-12-10,Male,1972-04-13,44,25 - 45,Caucasian,0,7,0,0,0,-1,2014-12-09 06:06:41,2014-12-30 09:07:16,14016368CF10A,2014-12-09,,1,F,Burglary Conveyance Unoccup,1,15001640TC10A,(M2),1,2015-01-14,Driving License Suspended,2015-01-15,2015-02-08,,0,,,,,Risk of Recidivism,7,Medium,2014-12-10,Risk of Violence,2,Low,2014-12-10,2014-12-09,2014-12-30,0,20,35,1,1 +10176,frank wilson,frank,wilson,2014-07-03,Male,1974-07-01,41,25 - 45,African-American,0,6,0,3,12,0,2014-07-03 03:36:03,2014-07-03 08:55:01,14009173CF10A,2014-07-03,,0,F,Possession Of Alprazolam,1,14016731CF10A,(M2),0,2014-12-17,Operating W/O Valid License,2014-12-17,2014-12-18,,1,15015386CF10A,(F3),2015-11-25,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2014-07-03,Risk of Violence,3,Low,2014-07-03,2014-12-17,2014-12-18,12,0,167,1,1 +10178,teoman algur,teoman,algur,2014-01-14,Male,1969-07-15,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-13 06:55:02,2014-01-14 07:59:33,14000563CF10A,2014-01-13,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-13,2014-01-14,0,0,808,0,0 +10179,james felder,james,felder,2013-12-05,Male,1958-08-11,57,Greater than 45,African-American,0,1,0,0,2,-1,2013-12-04 01:33:31,2013-12-05 01:31:32,91018509MM10A,,2001-04-12,4620,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2013-12-04,2013-12-05,2,0,848,0,0 +10180,cecelia baptiste-gilmore,cecelia,baptiste-gilmore,2013-12-06,Female,1972-04-10,44,25 - 45,Caucasian,0,3,0,0,1,-31,2013-11-05 08:36:22,2013-12-06 04:12:38,13020899MM10A,2013-11-05,,31,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2013-11-05,2013-12-06,1,0,847,0,0 +10181,antonio walsh,antonio,walsh,2014-03-24,Male,1984-04-16,32,25 - 45,African-American,0,9,0,0,0,0,2014-03-24 01:13:18,2014-03-24 02:24:51,14004093CF10A,2014-03-23,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-24,Risk of Violence,6,Medium,2014-03-24,2014-03-31,2014-04-01,0,0,7,0,0 +10183,julius howard,julius,howard,2013-03-16,Male,1980-01-24,36,25 - 45,African-American,0,9,0,0,1,-1,2013-03-15 02:14:16,2013-03-16 06:13:47,13005160MM10A,2013-03-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-16,Risk of Violence,3,Low,2013-03-16,2013-03-15,2013-03-16,1,0,1112,0,0 +10184,steven pearson,steven,pearson,2014-01-26,Male,1985-08-11,30,25 - 45,African-American,0,8,0,0,1,-1,2014-01-25 08:21:42,2014-01-26 08:06:05,14001396MM10A,2014-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-01-26,Risk of Violence,6,Medium,2014-01-26,2014-01-25,2014-01-26,1,0,796,0,0 +10185,wayne stover,wayne,stover,2013-02-01,Male,1988-01-13,28,25 - 45,African-American,0,2,0,0,0,-1,2013-01-31 04:31:47,2013-02-05 09:12:13,13002274MO10A,2013-01-31,,1,M,Manage Busn W/O City Occup Lic,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-01-31,2013-02-05,0,4,1155,0,0 +10188,daniel cruz,daniel,cruz,2013-01-12,Male,1984-12-13,31,25 - 45,Caucasian,0,4,0,0,3,-1,2013-01-11 11:36:08,2013-01-12 07:24:07,13000706MM10A,2013-01-11,,1,M,Battery,1,13012665TC10A,(M2),0,2013-03-25,Driving License Suspended,2013-03-25,2013-03-25,,0,,,,,Risk of Recidivism,4,Low,2013-01-12,Risk of Violence,3,Low,2013-01-12,2013-03-25,2013-03-25,3,0,72,0,1 +10189,cornelius nealy,cornelius,nealy,2014-03-13,Male,1986-07-11,29,25 - 45,African-American,1,10,0,0,8,-1,2014-03-12 04:15:38,2014-03-19 02:55:41,14003494CF10A,2014-03-12,,1,F,Possession of Cocaine,1,14008075CF10A,(F2),,2014-03-25,Aggrav Battery w/Deadly Weapon,,,,1,14008075CF10A,(F2),2014-03-25,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2014-03-13,Risk of Violence,9,High,2014-03-13,2014-03-12,2014-03-19,8,6,12,1,1 +10193,sherrod robinson,sherrod,robinson,2013-11-12,Male,1994-05-04,21,Less than 25,African-American,0,5,0,0,1,-1,2013-11-11 09:30:11,2013-11-27 05:46:00,13015676CF10A,2013-11-11,,1,M,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-12,Risk of Violence,6,Medium,2013-11-12,2013-11-11,2013-11-27,1,15,871,0,0 +10194,calodius washington,calodius,washington,2013-08-30,Male,1993-02-08,23,Less than 25,African-American,1,8,0,0,5,24,2013-09-23 03:15:15,2013-09-24 04:26:21,13012247CF10A,2013-08-29,,1,F,Possession Burglary Tools,1,14006813CF10A,(F1),27,2014-04-19,Aid/Abet Burglary Assault/Batt,2014-05-16,2014-10-18,,1,14006813CF10A,(F1),2014-04-19,Aid/Abet Burglary Assault/Batt,Risk of Recidivism,8,High,2013-08-30,Risk of Violence,6,Medium,2013-08-30,2013-09-23,2013-09-24,5,0,24,0,1 +10195,thery cineus,thery,cineus,2013-10-18,Male,1988-05-17,27,25 - 45,Other,0,1,0,0,0,-1,2013-10-17 09:39:04,2013-10-18 07:48:37,13019715MM10A,2013-10-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-18,Risk of Violence,2,Low,2013-10-18,2013-10-17,2013-10-18,0,0,896,0,0 +10196,frank rose,frank,rose,2013-08-07,Male,1990-07-16,25,25 - 45,Caucasian,0,9,0,0,4,-30,2013-07-08 05:10:41,2013-07-09 12:58:59,13009539CF10A,2013-07-08,,30,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-07,Risk of Violence,7,Medium,2013-08-07,2013-07-08,2013-07-09,4,0,968,0,0 +10197,april hollis,april,hollis,2014-12-05,Female,1966-09-05,49,Greater than 45,African-American,0,10,0,0,25,-1,2014-12-04 04:07:50,2014-12-14 03:36:59,14016147CF10A,2014-12-04,,1,F,Felony Petit Theft,1,15009130CF10A,(F3),0,2015-07-15,Felony Petit Theft,2015-07-15,2015-08-12,,0,,,,,Risk of Recidivism,10,High,2014-12-05,Risk of Violence,5,Medium,2014-12-05,2015-07-15,2015-08-12,25,9,222,1,1 +10198,jermaine jean-francois,jermaine,jean-francois,2013-10-14,Male,1980-10-15,35,25 - 45,Other,0,5,0,0,2,-1,2013-10-13 04:47:31,2013-10-14 01:58:27,13014340CF10A,2013-10-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-14,Risk of Violence,3,Low,2013-10-14,2013-10-13,2013-10-14,2,0,900,0,0 +10201,juan rojassoto,juan,rojassoto,2013-03-23,Male,1980-12-11,35,25 - 45,Hispanic,0,2,0,0,0,-1,2013-03-22 07:50:40,2013-06-17 10:48:31,13004176CF10A,2013-03-22,,1,F,Tamper With Witness/Victim/CI,1,14011500MM10A,(M1),0,2014-07-28,Battery,2014-07-28,2014-07-30,,1,14011500MM10A,(M1),2014-07-28,Battery,Risk of Recidivism,2,Low,2013-03-23,Risk of Violence,2,Low,2013-03-23,2014-07-28,2014-07-30,0,86,492,1,1 +10202,jalicia brooks,jalicia,brooks,2014-07-29,Female,1990-06-01,25,25 - 45,African-American,0,8,0,0,1,-1,2014-07-28 01:24:31,2014-07-29 02:03:29,14011486MM10A,2014-07-28,,1,M,Battery,1,15001078MM10A,(M1),0,2015-01-27,Battery,2015-01-27,2015-02-03,,1,15001078MM10A,(M1),2015-01-27,Battery,Risk of Recidivism,8,High,2014-07-29,Risk of Violence,3,Low,2014-07-29,2015-01-27,2015-02-03,1,0,182,1,1 +10205,anthony diaz,anthony,diaz,2013-04-04,Male,1983-10-08,32,25 - 45,Hispanic,1,7,0,0,2,15,2013-04-19 10:18:21,2013-04-20 08:00:34,11001027MM10A,,2012-04-16,353,M,arrest case no charge,1,14000381MM30A,(M1),,2014-02-06,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-04,Risk of Violence,6,Medium,2013-04-04,2013-04-19,2013-04-20,2,0,15,0,1 +10207,marvin darlington,marvin,darlington,2013-11-26,Male,1980-09-25,35,25 - 45,African-American,0,6,0,0,9,-1,2013-11-25 04:37:30,2013-11-26 08:46:49,13016387CF10A,2013-11-25,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-26,Risk of Violence,5,Medium,2013-11-26,2013-11-25,2013-11-26,9,0,857,0,0 +10208,josue petithomme,josue,petithomme,2013-02-09,Male,1982-10-02,33,25 - 45,Caucasian,0,3,0,0,4,,,,12006176MM10A,2012-03-25,,321,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-09,Risk of Violence,3,Low,2013-02-09,,,4,0,1147,0,0 +10209,chris mcinerney,chris,mcinerney,2013-07-19,Male,1977-09-08,38,25 - 45,Caucasian,0,1,0,0,8,,,,09018661CF10A,,2013-06-28,21,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-19,Risk of Violence,1,Low,2013-07-19,,,8,0,987,0,0 +10210,barry wells,barry,wells,2013-08-17,Male,1984-01-10,32,25 - 45,African-American,0,9,0,0,0,-1,2013-08-16 11:16:03,2013-08-17 09:02:19,13011522CF10A,2013-08-16,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-17,Risk of Violence,7,Medium,2013-08-17,2013-08-16,2013-08-17,0,0,958,0,0 +10211,tatiana kennon,tatiana,kennon,2013-09-25,Female,1993-03-28,23,Less than 25,African-American,0,4,0,0,0,-1,2013-09-24 09:39:00,2013-09-25 04:30:03,13018226MM10A,2013-09-24,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-25,Risk of Violence,5,Medium,2013-09-25,2013-09-24,2013-09-25,0,0,919,0,0 +10212,eddie durizil,eddie,durizil,2013-02-20,Male,1949-03-03,67,Greater than 45,African-American,0,2,0,0,3,,,,10021864CF10A,2010-12-14,,799,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,,,3,0,1136,0,0 +10214,jamar wright,jamar,wright,2013-02-11,Male,1992-05-07,23,Less than 25,African-American,1,10,1,2,4,-1,2013-02-10 05:11:00,2013-03-13 05:49:48,13002040CF10A,2013-02-10,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-11,Risk of Violence,10,High,2013-02-11,2015-02-28,2015-10-18,4,30,747,0,0 +10216,kristina hughes,kristina,hughes,2013-02-07,Female,1989-07-26,26,25 - 45,African-American,0,8,0,0,0,-1,2013-02-06 04:54:37,2013-02-07 09:44:01,13005770TC10A,2013-02-06,,1,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-07,Risk of Violence,4,Low,2013-02-07,2013-02-06,2013-02-07,0,0,1149,0,0 +10217,robert white,robert,white,2014-11-21,Male,1984-11-05,31,25 - 45,African-American,0,8,0,0,9,0,2014-11-21 02:31:21,2014-11-21 09:15:04,14015711CF10A,2014-11-21,,0,F,Possession of Cocaine,1,14017258MM10A,(M1),0,2014-12-08,Trespass After Warning,2014-12-08,2015-01-29,,0,,,,,Risk of Recidivism,8,High,2014-11-21,Risk of Violence,5,Medium,2014-11-21,2014-12-08,2015-01-29,9,0,17,1,1 +10218,gary kirkland,gary,kirkland,2013-03-12,Male,1993-05-01,22,Less than 25,African-American,0,4,0,0,0,-1,2013-03-11 04:11:37,2013-03-12 06:58:34,13004886MM10A,2013-03-11,,1,M,Battery,1,14016936TC10A,(M2),,2014-04-21,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-12,Risk of Violence,7,Medium,2013-03-12,2013-03-11,2013-03-12,0,0,405,1,1 +10219,selena pruneda,selena,pruneda,2014-11-10,Female,1995-11-25,20,Less than 25,Caucasian,0,8,0,0,0,-1,2014-11-09 03:14:42,2014-11-28 02:53:09,14015044CF10A,2014-11-09,,1,F,Poss Pyrrolidinovalerophenone,1,15000998CF10A,(F3),0,2015-01-22,Poss Pyrrolidinovalerophenone,2015-01-22,2015-02-24,,0,,,,,Risk of Recidivism,8,High,2014-11-10,Risk of Violence,9,High,2014-11-10,2015-01-22,2015-02-24,0,18,73,1,1 +10220,earnest robinson,earnest,robinson,2013-01-11,Male,1991-09-21,24,Less than 25,African-American,0,3,0,0,1,-1,2013-01-10 08:39:13,2013-01-11 01:20:52,13000459CF10A,2013-01-10,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-11,Risk of Violence,4,Low,2013-01-11,2013-01-10,2013-01-11,1,0,1176,0,0 +10223,torrey thomas,torrey,thomas,2013-03-08,Male,1978-08-04,37,25 - 45,African-American,0,7,0,0,0,-1,2013-03-07 12:47:41,2013-03-08 08:42:21,13010216TC10A,2013-03-07,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-08,Risk of Violence,2,Low,2013-03-08,2013-03-07,2013-03-08,0,0,1120,0,0 +10224,anthony serphin,anthony,serphin,2013-03-26,Male,1987-04-06,29,25 - 45,African-American,0,5,0,0,0,-1,2013-03-25 11:37:18,2013-03-26 12:39:33,13004330CF10A,2013-03-25,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,3,Low,2013-03-26,2013-03-25,2013-03-26,0,0,1102,0,0 +10225,dwayne brown,dwayne,brown,2013-08-01,Male,1982-04-16,34,25 - 45,Other,0,2,0,0,0,-2,2013-07-30 11:30:14,2013-08-01 11:30:58,13010664CF10A,2013-07-30,,2,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-07-30,2013-08-01,0,0,974,0,0 +10226,demetrice hamilton,demetrice,hamilton,2013-04-20,Male,1986-11-14,29,25 - 45,African-American,0,7,0,1,9,-1,2013-04-19 04:21:02,2013-04-20 09:50:33,13005625CF10A,2013-04-19,,1,F,Deliver Cocaine 1000FT School,1,13089776TC30A,(M2),,2013-09-06,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2015-09-15,2020-01-01,9,0,139,1,1 +10228,anthony angotti,anthony,angotti,2014-03-30,Male,1966-06-10,49,Greater than 45,Caucasian,0,1,0,0,3,-1,2014-03-29 03:30:24,2014-03-30 01:04:04,14004425CF10A,2014-03-29,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-03-29,2014-03-30,3,0,733,0,0 +10229,quaice bowen,quaice,bowen,2013-02-26,Male,1984-10-31,31,25 - 45,African-American,0,2,0,0,2,-1,2013-02-25 08:42:56,2013-02-26 06:47:03,13002563CF10A,,2013-02-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-26,Risk of Violence,2,Low,2013-02-26,2013-02-25,2013-02-26,2,0,1130,0,0 +10230,robert madera,robert,madera,2014-03-12,Male,1956-09-28,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-11 11:17:30,2014-03-12 01:43:28,14004245MM10A,2014-03-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-12,Risk of Violence,1,Low,2014-03-12,2014-03-11,2014-03-12,0,0,751,0,0 +10232,howell abraham,howell,abraham,2013-04-14,Male,1977-02-22,39,25 - 45,African-American,0,1,0,0,2,-1,2013-04-13 02:57:41,2013-04-14 07:07:41,13007167MM10A,2013-04-13,,1,M,Resist/Obstruct W/O Violence,1,15004362TC10A,(M1),0,2015-02-12,Opert With Susp DL 2nd Offens,2015-02-12,2015-02-17,,0,,,,,Risk of Recidivism,1,Low,2013-04-14,Risk of Violence,1,Low,2013-04-14,2014-03-04,2014-03-05,2,0,324,0,1 +10233,alquan isaac,alquan,isaac,2013-03-06,Male,1992-07-02,23,Less than 25,African-American,0,5,0,1,1,-1,2013-03-05 08:58:59,2013-03-06 07:35:04,13003285CF10A,2013-03-05,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-06,Risk of Violence,5,Medium,2013-03-06,2013-03-05,2013-03-06,1,0,1122,0,0 +10234,acie canteen,acie,canteen,2014-04-26,Male,1989-01-05,27,25 - 45,African-American,0,1,0,0,3,-1,2014-04-25 09:15:16,2014-04-26 08:31:48,14005912CF10A,,2014-04-25,1,F,arrest case no charge,1,14043173MU10A,(M2),1,2014-11-25,Opert With Susp DL 2nd Offens,2014-11-26,2014-11-26,,0,,,,,Risk of Recidivism,1,Low,2014-04-26,Risk of Violence,2,Low,2014-04-26,2014-11-26,2014-11-26,3,0,213,1,1 +10235,rafael frazier,rafael,frazier,2013-11-19,Male,1993-08-01,22,Less than 25,African-American,0,9,0,0,1,-1,2013-11-18 05:01:48,2013-11-23 01:08:06,13016016CF10A,2013-11-18,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-19,Risk of Violence,7,Medium,2013-11-19,2013-11-18,2013-11-23,1,4,864,0,0 +10237,dylan williamson,dylan,williamson,2014-01-05,Male,1994-09-29,21,Less than 25,Caucasian,0,9,0,0,0,-1,2014-01-04 11:33:30,2014-01-05 08:04:13,14000170CF10A,2014-01-04,,1,F,Burglary Conveyance Unoccup,1,14007703CF10A,(M1),1,2014-06-03,Trespass Other Struct/Convey,2014-06-04,2014-07-19,,0,,,,,Risk of Recidivism,9,High,2014-01-05,Risk of Violence,9,High,2014-01-05,2016-01-14,2020-01-01,0,0,149,1,1 +10239,rosny abraham,rosny,abraham,2013-02-11,Male,1979-06-09,36,25 - 45,African-American,0,1,0,0,0,-1,2013-02-10 11:35:53,2013-02-11 07:32:57,13002053CF10A,2013-02-10,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-11,0,0,1145,0,0 +10241,peter joseph,peter,joseph,2013-03-20,Male,1985-10-13,30,25 - 45,African-American,0,6,0,1,10,-8,2013-03-12 02:56:33,2013-03-19 07:21:12,12001481CF10A,,2013-03-11,9,F,arrest case no charge,1,14016686CF10A,(F3),1,2014-12-16,Tampering With Physical Evidence,2014-12-17,2014-12-17,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,2,Low,2013-03-20,2013-06-14,2013-07-16,10,0,86,0,1 +10242,frank marrero,frank,marrero,2014-01-10,Male,1984-06-07,31,25 - 45,Caucasian,0,7,0,0,3,0,2014-01-10 04:47:43,2014-01-10 08:01:12,14001432MU10A,2014-01-10,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-10,Risk of Violence,9,High,2014-01-10,2014-01-10,2014-01-10,3,0,812,0,0 +10243,isabel veliz,isabel,veliz,2013-06-03,Female,1987-02-28,29,25 - 45,Hispanic,0,3,0,0,0,-3,2013-05-31 11:18:22,2013-06-01 09:00:05,13010467MM10A,2013-05-31,,3,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-03,Risk of Violence,2,Low,2013-06-03,2013-05-31,2013-06-01,0,0,1033,0,0 +10244,avian grant,avian,grant,2013-09-22,Male,1969-01-23,47,Greater than 45,Other,0,1,0,0,5,-1,2013-09-21 05:04:13,2013-09-22 02:14:03,13018009MM10A,2013-09-21,,1,M,Possess Cannabis/20 Grams Or Less,1,13039276TC10A,(M2),0,2013-10-07,Susp Drivers Lic 1st Offense,2013-10-07,2013-10-09,,0,,,,,Risk of Recidivism,1,Low,2013-09-22,Risk of Violence,1,Low,2013-09-22,2013-10-07,2013-10-09,5,0,15,1,1 +10250,chavon grant,chavon,grant,2013-03-12,Male,1990-10-23,25,25 - 45,African-American,0,10,0,0,7,258,2013-11-25 12:49:37,2013-12-10 10:30:00,12015976CF10A,2012-10-29,,134,F,Grand Theft in the 3rd Degree,1,15013032CF10A,(F3),,2015-09-22,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,10,High,2013-03-12,Risk of Violence,10,High,2013-03-12,2013-11-25,2013-12-10,7,0,258,0,0 +10251,chance drake,chance,drake,2013-12-12,Male,1989-11-29,26,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-11 03:26:14,2013-12-13 02:54:48,13017122CF10A,2013-12-11,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-12,Risk of Violence,3,Low,2013-12-12,2013-12-11,2013-12-13,0,1,841,0,0 +10252,quintavious rogers,quintavious,rogers,2013-04-20,Male,1991-05-23,24,Less than 25,African-American,0,4,0,0,0,-1,2013-04-19 06:59:47,2013-04-20 01:45:28,13007609MM10A,2013-04-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2013-04-19,2013-04-20,0,0,1077,0,0 +10253,daniel staime,daniel,staime,2014-02-24,Male,1973-01-26,43,25 - 45,Other,0,1,0,0,1,-3,2014-02-21 10:15:16,2014-02-22 08:01:25,14002496CF10A,2014-02-21,,3,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-21,2014-02-22,1,0,767,0,0 +10254,jackie denmark,jackie,denmark,2014-01-28,Male,1988-07-01,27,25 - 45,African-American,1,9,2,0,11,-1,2014-01-27 06:29:28,2014-01-30 10:05:05,14001202CF10A,2014-01-27,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-28,Risk of Violence,10,High,2014-01-28,2014-01-27,2014-01-30,11,2,794,0,0 +10256,adrian arabitg,adrian,arabitg,2013-09-12,Male,1987-07-02,28,25 - 45,Caucasian,0,4,0,0,4,-1,2013-09-11 10:31:41,2014-03-20 11:22:47,13012884CF10A,,2013-09-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-12,Risk of Violence,3,Low,2013-09-12,2013-09-11,2014-03-20,4,189,932,0,0 +10257,wendy saintjuste,wendy,saintjuste,2013-11-19,Female,1982-11-10,33,25 - 45,Other,0,2,0,0,0,-1,2013-11-18 04:55:48,2013-11-19 01:28:31,13016007CF10A,2013-11-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-19,Risk of Violence,2,Low,2013-11-19,2013-11-18,2013-11-19,0,0,864,0,0 +10258,james rivelli,james,rivelli,2014-08-12,Male,1961-07-02,54,Greater than 45,Caucasian,0,3,0,0,3,-1,2014-08-11 06:33:16,2014-08-20 05:15:20,14010958CF10A,2014-08-11,,1,F,Grand Theft in the 3rd Degree,1,15005530CF10A,(F2),0,2015-04-27,Robbery / No Weapon,2015-04-27,2015-05-28,,1,15005530CF10A,(F2),2015-04-27,Robbery / No Weapon,Risk of Recidivism,3,Low,2014-08-12,Risk of Violence,2,Low,2014-08-12,2015-04-27,2015-05-28,3,8,258,1,1 +10259,scott kaplan,scott,kaplan,2013-10-03,Male,1958-09-05,57,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-02 02:21:50,2013-10-03 08:05:30,13018775MM10A,2013-10-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-10-02,2013-10-03,0,0,911,0,0 +10260,bradley schild,bradley,schild,2014-10-14,Male,1961-07-29,54,Greater than 45,Caucasian,0,9,0,0,11,-127,2014-06-09 08:56:37,2014-06-23 09:28:55,14013215CF10A,2014-06-09,,127,F,Possession of Cocaine,1,15006398CF10A,(F3),0,2015-05-16,Possession of Cocaine,2015-05-16,2015-07-19,,0,,,,,Risk of Recidivism,9,High,2014-10-14,Risk of Violence,6,Medium,2014-10-14,2015-05-16,2015-07-19,11,0,214,1,1 +10261,gregory holmes,gregory,holmes,2013-05-29,Male,1985-07-04,30,25 - 45,African-American,0,2,0,0,2,-1,2013-05-28 07:18:38,2013-06-13 11:44:39,13007621CF10A,2013-05-28,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-29,Risk of Violence,2,Low,2013-05-29,2013-05-28,2013-06-13,2,15,1038,0,0 +10262,geranie barthelemy,geranie,barthelemy,2013-11-15,Male,1988-12-16,27,25 - 45,Other,0,1,0,0,0,-1,2013-11-14 05:26:11,2013-11-15 08:37:24,13021468MM10A,2013-11-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-15,Risk of Violence,2,Low,2013-11-15,2013-11-14,2013-11-15,0,0,868,0,0 +10267,ieasha forbes,ieasha,forbes,2013-04-19,Female,1985-02-21,31,25 - 45,African-American,0,8,0,0,4,0,2013-04-19 12:52:18,2013-04-20 07:47:51,13005632CF10A,2013-04-19,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-19,Risk of Violence,5,Medium,2013-04-19,2013-04-19,2013-04-20,4,1,1078,0,0 +10269,nestor garciabonille,nestor,garciabonille,2013-02-25,Male,1987-03-01,29,25 - 45,Caucasian,0,3,0,0,0,-1,2013-02-24 05:30:21,2013-02-25 02:06:05,13002816CF10A,2013-02-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-25,Risk of Violence,3,Low,2013-02-25,2013-02-24,2013-02-25,0,0,1131,0,0 +10270,kathleen lopez,kathleen,lopez,2013-08-20,Female,1986-10-10,29,25 - 45,Hispanic,0,2,0,0,0,-2,2013-08-18 03:04:45,2013-08-19 06:39:02,13015652MM10A,2013-08-18,,2,M,Battery,1,14009892CF10A,(F2),0,2014-07-20,Aggrav Battery w/Deadly Weapon,2014-07-20,2014-07-21,,1,14009892CF10A,(F2),2014-07-20,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2013-08-20,Risk of Violence,2,Low,2013-08-20,2014-07-20,2014-07-21,0,0,334,1,1 +10271,yuniel arteaga,yuniel,arteaga,2013-05-21,Male,1983-01-26,33,25 - 45,Hispanic,0,3,0,0,2,-5,2013-05-16 02:28:47,2013-05-20 12:42:46,13032329TC10A,2013-05-07,,14,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-21,Risk of Violence,4,Low,2013-05-21,2013-06-26,2013-06-27,2,0,36,0,0 +10272,amber rivero,amber,rivero,2013-09-19,Male,1993-12-04,22,Less than 25,African-American,0,4,0,0,0,-1,2013-09-18 08:17:23,2013-09-19 09:03:46,13017794MM10A,2013-09-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-19,Risk of Violence,6,Medium,2013-09-19,2013-09-18,2013-09-19,0,0,925,0,0 +10273,winston elvie,winston,elvie,2013-04-03,Male,1988-01-11,28,25 - 45,African-American,0,3,0,0,2,-75,2013-01-18 06:03:59,2013-04-02 06:39:17,13001056CF10A,,2013-01-18,75,F,arrest case no charge,1,15061875TC30A,(M2),,2015-09-03,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-03,Risk of Violence,3,Low,2013-04-03,2013-01-18,2013-04-02,2,0,883,1,0 +10274,jermaine burrows,jermaine,burrows,2013-02-08,Male,1981-02-05,35,25 - 45,African-American,0,8,0,0,0,-1,2013-02-07 11:05:34,2013-02-09 04:44:20,13002784MM10A,2013-02-07,,1,M,Battery,1,13009113CF10A,(F2),,2013-05-09,Aggrav Battery w/Deadly Weapon,,,,1,13009113CF10A,(F2),2013-05-09,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,8,High,2013-02-08,Risk of Violence,7,Medium,2013-02-08,2013-02-07,2013-02-09,0,1,90,1,1 +10276,andre bandie,andre,bandie,2013-02-18,Male,1987-02-04,29,25 - 45,African-American,0,1,0,0,2,-1,2013-02-17 01:08:12,2013-02-18 12:57:05,13002430CF10A,2013-02-16,,2,F,Resist Officer w/Violence,1,14008212TC20A,(M2),,2014-01-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-18,Risk of Violence,2,Low,2013-02-18,2014-06-15,2014-07-03,2,0,326,1,1 +10277,james jenkins,james,jenkins,2013-08-04,Male,1985-11-17,30,25 - 45,African-American,0,7,1,0,14,-1,2013-08-03 05:56:23,2013-08-09 05:28:24,13010873CF10A,2013-08-03,,1,F,Driving While License Revoked,1,15012989CF10A,(M1),0,2015-10-07,Trespass/Property/Other Structure,2015-10-07,2015-11-09,,0,,,,,Risk of Recidivism,7,Medium,2013-08-04,Risk of Violence,7,Medium,2013-08-04,2013-10-24,2013-12-15,14,5,81,0,0 +10279,mary merisier,mary,merisier,2013-09-23,Female,1971-10-09,44,25 - 45,African-American,0,2,0,0,1,-45,2013-08-09 12:13:11,2013-08-11 08:29:45,13011204CF10A,2013-08-09,,45,M,Aggrav Child Abuse-Agg Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,2,Low,2013-09-23,2013-08-09,2013-08-11,1,0,921,0,0 +10280,glenn williams,glenn,williams,2013-03-14,Male,1989-03-10,27,25 - 45,African-American,0,10,0,0,2,-1,2013-03-13 11:29:00,2013-03-14 08:25:46,13003686CF10A,2013-03-13,,1,F,Tampering With Physical Evidence,1,13006942CF10A,(F3),0,2013-05-15,Tampering With Physical Evidence,2013-05-15,2013-12-26,,0,,,,,Risk of Recidivism,10,High,2013-03-14,Risk of Violence,5,Medium,2013-03-14,2013-05-15,2013-12-26,2,0,62,1,1 +10281,clara igelesias,clara,igelesias,2013-02-23,Female,1952-08-12,63,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-22 12:28:15,2013-02-23 08:11:17,13003763MM10A,2013-02-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-23,0,0,1133,0,0 +10283,eveno legros,eveno,legros,2013-03-27,Male,1988-05-24,27,25 - 45,African-American,0,5,0,0,6,-1,2013-03-26 08:58:54,2013-03-27 01:12:40,13004381CF10A,2013-03-26,,1,F,Possession of Cocaine,1,13009718CF10A,(F3),0,2013-07-11,Possession of Cocaine,2013-07-11,2013-08-16,,0,,,,,Risk of Recidivism,5,Medium,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-07-11,2013-08-16,6,0,106,1,1 +10288,daniot joachim,daniot,joachim,2014-02-17,Male,1981-10-13,34,25 - 45,Other,0,2,0,0,3,-1,2014-02-16 12:26:37,2014-02-17 08:46:28,14002691MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-17,Risk of Violence,2,Low,2014-02-17,2014-02-16,2014-02-17,3,0,774,0,0 +10289,eric lever,eric,lever,2014-11-23,Male,1979-09-18,36,25 - 45,Caucasian,0,8,0,0,0,-1,2014-11-22 01:25:52,2014-12-29 07:37:30,14015736CF10A,2014-11-22,,1,F,Possession of Cocaine,1,15003835MM10A,(M1),0,2015-04-02,Battery,2015-04-02,2015-04-15,,1,15003835MM10A,(M1),2015-04-02,Battery,Risk of Recidivism,8,High,2014-11-23,Risk of Violence,3,Low,2014-11-23,2015-04-02,2015-04-15,0,36,130,1,1 +10290,antonio chang,antonio,chang,2013-01-22,Male,1984-07-16,31,25 - 45,African-American,0,10,0,1,5,50,2013-03-13 09:07:17,2014-02-13 06:54:09,12011350CF10A,,2012-10-22,92,F,arrest case no charge,1,13003701CF10A,(F2),19,2013-02-22,Poss Cocaine/Intent To Del/Sel,2013-03-13,2014-02-13,,0,,,,,Risk of Recidivism,10,High,2013-01-22,Risk of Violence,7,Medium,2013-01-22,2014-02-13,2020-01-01,5,0,31,1,1 +10292,saloman theoc,saloman,theoc,2013-03-20,Male,1994-06-09,21,Less than 25,African-American,0,8,0,0,0,-1,2013-03-19 06:14:41,2013-03-20 08:19:04,13003995CF10A,2013-03-19,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-20,Risk of Violence,8,High,2013-03-20,2014-06-29,2014-07-17,0,0,466,0,0 +10293,robert holmes,robert,holmes,2013-12-04,Male,1992-09-26,23,Less than 25,Caucasian,0,3,0,0,1,-1,2013-12-03 05:09:32,2013-12-04 12:08:32,13016720CF10A,2013-12-03,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-04,Risk of Violence,4,Low,2013-12-04,2013-12-03,2013-12-04,1,0,849,0,0 +10295,rodney king,rodney,king,2013-10-25,Male,1960-10-13,55,Greater than 45,African-American,0,5,0,0,1,-43,2013-09-12 07:59:53,2013-10-25 10:48:52,13008253CF10A,,2013-09-12,43,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2013-09-12,2013-10-25,1,0,889,0,0 +10296,dennis davis,dennis,davis,2013-02-28,Male,1975-09-03,40,25 - 45,African-American,0,3,0,0,1,-1,2013-02-27 11:00:44,2013-05-14 07:21:12,12014798CF10A,,2013-02-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-28,Risk of Violence,1,Low,2013-02-28,2013-02-27,2013-05-14,1,75,1128,0,0 +10298,richard mckenzie,richard,mckenzie,2013-01-07,Male,1985-11-19,30,25 - 45,African-American,0,5,0,0,3,-1,2013-01-06 07:35:14,2013-01-08 05:21:10,13000306MM10A,2013-01-06,,1,M,Battery,1,14009816TC10A,(M2),0,2014-03-11,Susp Drivers Lic 1st Offense,2014-03-11,2014-03-11,,1,16001323CF10A,(F1),2016-01-13,Home Invasion Robbery,Risk of Recidivism,5,Medium,2013-01-07,Risk of Violence,5,Medium,2013-01-07,2014-03-11,2014-03-11,3,1,428,0,1 +10299,haratio cooke,haratio,cooke,2013-09-08,Male,1974-07-31,41,25 - 45,African-American,0,5,0,0,1,-1,2013-09-07 07:00:04,2013-09-09 03:23:49,13017065MM10A,2013-09-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-08,Risk of Violence,2,Low,2013-09-08,2013-09-07,2013-09-09,1,1,936,0,0 +10300,charles fichtner,charles,fichtner,2013-01-21,Male,1960-03-18,56,Greater than 45,Caucasian,0,1,0,0,0,0,2013-01-21 01:47:08,2013-01-21 11:01:20,13001358MM10A,2013-01-20,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-21,Risk of Violence,1,Low,2013-01-21,2013-01-21,2013-01-21,0,0,1166,0,0 +10301,orville roberts,orville,roberts,2014-02-26,Male,1993-01-30,23,Less than 25,African-American,0,3,0,0,1,-1,2014-02-25 05:41:36,2014-02-26 10:49:28,14002680CF10A,2014-02-25,,1,F,Possession of Codeine,1,14009571MM10A,(M1),1,2014-06-18,Resist/Obstruct W/O Violence,2014-06-19,2014-06-19,,0,,,,,Risk of Recidivism,3,Low,2014-02-26,Risk of Violence,4,Low,2014-02-26,2014-06-19,2014-06-19,1,0,112,1,1 +10302,robert parker,robert,parker,2013-10-23,Male,1955-01-20,61,Greater than 45,African-American,0,2,0,0,14,-1,2013-10-22 07:34:15,2013-10-23 07:47:51,13020020MO10A,2013-10-22,,1,M,Poss Of Controlled Substance,1,15015851CF10A,(F3),,2015-12-11,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-23,Risk of Violence,2,Low,2013-10-23,2013-10-22,2013-10-23,14,0,779,1,0 +10303,eloy ruizgonzalez,eloy,ruizgonzalez,2014-02-25,Male,1994-01-24,22,Less than 25,Hispanic,0,7,0,0,0,-1,2014-02-24 04:47:28,2014-03-06 11:35:07,14002599CF10A,2014-02-24,,1,F,Dealing in Stolen Property,1,14012240MM10A,(M1),0,2014-08-13,Possess Cannabis/20 Grams Or Less,2014-08-13,2014-08-14,,0,,,,,Risk of Recidivism,7,Medium,2014-02-25,Risk of Violence,8,High,2014-02-25,2014-08-13,2014-08-14,0,9,169,1,1 +10305,deshawn isaac,deshawn,isaac,2014-09-10,Male,1996-04-03,20,Less than 25,African-American,0,6,0,0,0,-1,2014-09-09 05:51:39,2014-09-11 03:35:38,14012288CF10A,2014-09-09,,1,F,Pos Cannabis W/Intent Sel/Del,1,14014656CF10A,(M1),0,2014-10-30,Trespass After Warning,2014-10-30,2014-10-31,,0,,,,,Risk of Recidivism,6,Medium,2014-09-10,Risk of Violence,7,Medium,2014-09-10,2014-10-30,2014-10-31,0,1,50,1,1 +10306,thelma lopez,thelma,lopez,2013-08-10,Male,1967-01-06,49,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-08-09 04:00:25,2013-11-08 07:58:37,13011178CF10A,2013-08-09,,1,F,Felony/Driving Under Influence,1,15020742TC30A,(M2),153,2015-03-11,Susp Drivers Lic 1st Offense,2015-08-11,2015-12-18,,0,,,,,Risk of Recidivism,1,Low,2013-08-10,Risk of Violence,1,Low,2013-08-10,2013-08-09,2013-11-08,2,90,578,1,1 +10307,robert austin,robert,austin,2013-01-06,Male,1984-05-01,31,25 - 45,African-American,2,6,0,0,6,-1,2013-01-05 11:46:29,2013-01-31 09:56:53,13000224CF10A,2013-01-05,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-06,Risk of Violence,6,Medium,2013-01-06,2013-01-05,2013-01-31,6,25,1181,0,0 +10309,eston anderson,eston,anderson,2014-09-18,Male,1965-06-24,50,Greater than 45,African-American,0,5,0,0,7,-1,2014-09-17 05:27:13,2014-09-19 02:54:40,11014080CF10A,,2014-09-18,0,F,arrest case no charge,1,15013432CF10A,(F3),,2015-06-24,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,5,Medium,2014-09-18,Risk of Violence,4,Low,2014-09-18,2014-09-17,2014-09-19,7,1,279,1,1 +10312,kimberly howard,kimberly,howard,2013-01-23,Female,1984-09-29,31,25 - 45,African-American,0,2,0,0,3,-1,2013-01-22 12:06:21,2013-01-23 01:09:38,13001516MM10A,2013-01-22,,1,M,Battery,1,14038076TC20A,(M2),,2014-05-22,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-23,Risk of Violence,2,Low,2013-01-23,2015-11-25,2015-11-25,3,0,484,1,1 +10313,normando cooper,normando,cooper,2013-08-01,Male,1983-05-25,32,25 - 45,African-American,1,10,0,2,4,-1,2013-07-31 10:15:26,2013-08-04 09:42:54,12007620CF10A,2012-05-23,,435,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-01,Risk of Violence,9,High,2013-08-01,2013-07-31,2013-08-04,4,3,974,0,0 +10314,carrie bein,carrie,bein,2014-12-19,Female,1989-05-15,26,25 - 45,Caucasian,0,6,0,0,7,48,2015-02-05 11:46:35,2015-02-18 09:08:26,14013843CF10A,2014-10-14,,66,F,Possession of Oxycodone,1,15000453MM20A,(M2),18,2015-01-18,Petit Theft,2015-02-05,2015-02-18,,0,,,,,Risk of Recidivism,6,Medium,2014-12-19,Risk of Violence,5,Medium,2014-12-19,2015-10-24,2015-12-05,7,0,30,1,1 +10315,morris atkins,morris,atkins,2014-04-15,Male,1971-10-21,44,25 - 45,African-American,0,1,0,0,0,-1,2014-04-14 09:02:39,2014-04-15 01:17:38,14005219CF10A,2014-04-14,,1,F,Felony Battery (Dom Strang),1,15003183MM10A,(M1),,2015-02-27,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,1,Low,2014-04-15,Risk of Violence,1,Low,2014-04-15,2015-02-02,2015-02-05,0,0,293,0,1 +10316,alvyn doman,alvyn,doman,2013-01-21,Male,1959-09-22,56,Greater than 45,Other,0,1,0,0,0,-1,2013-01-20 07:13:34,2013-01-21 08:18:53,13001378MM10A,2013-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-21,Risk of Violence,1,Low,2013-01-21,2013-01-20,2013-01-21,0,0,1166,0,0 +10317,william ogburn,william,ogburn,2014-01-23,Male,1953-08-15,62,Greater than 45,African-American,0,1,0,0,0,0,2014-01-23 03:30:01,2014-01-23 08:50:24,14002677MU10A,2014-01-23,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-23,Risk of Violence,1,Low,2014-01-23,2014-01-23,2014-01-23,0,0,799,0,0 +10319,paul daley,paul,daley,2013-12-23,Male,1972-12-14,43,25 - 45,African-American,0,1,0,0,3,-1,2013-12-22 04:42:10,2013-12-23 07:54:10,13017647CF10A,2013-12-22,,1,F,Felony Driving While Lic Suspd,1,14029738MU10A,(M2),0,2014-08-14,Lve/Scen/Acc/Veh/Prop/Damage,2014-08-14,2014-08-15,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2014-08-14,2014-08-15,3,0,234,1,1 +10323,joseph acevedo,joseph,acevedo,2013-03-10,Male,1984-06-16,31,25 - 45,Hispanic,2,9,1,0,8,171,2013-08-28 10:39:38,2013-08-31 04:36:28,04027017MM10A,,2013-03-10,0,M,arrest case no charge,1,13045217TC10A,(M2),71,2013-06-18,Operating W/O Valid License,2013-08-28,2013-08-31,,0,,,,,Risk of Recidivism,9,High,2013-03-10,Risk of Violence,7,Medium,2013-03-10,2016-03-09,2016-03-12,8,0,100,1,1 +10324,shakeia gardner,shakeia,gardner,2014-12-12,Female,1991-11-29,24,Less than 25,African-American,0,4,0,0,1,0,2014-12-12 03:32:28,2014-12-12 08:27:05,14017502MM10A,2014-12-12,,0,M,Battery,1,15017687TC20A,(M2),,2015-03-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,4,Low,2014-12-12,Risk of Violence,5,Medium,2014-12-12,2014-12-12,2014-12-12,1,0,88,1,1 +10326,renardo clark,renardo,clark,2013-12-11,Male,1974-11-05,41,25 - 45,African-American,0,10,0,0,13,-1,2013-12-10 09:26:48,2013-12-11 01:10:37,13017072CF10A,2013-12-10,,1,F,Possession Of Carisoprodol,1,14000372MM40A,(M2),,2014-01-01,Trespass Structure/Conveyance,,,,0,,,,,Risk of Recidivism,10,High,2013-12-11,Risk of Violence,8,High,2013-12-11,2015-04-13,2015-05-05,13,0,21,1,1 +10327,michael nocie,michael,nocie,2014-03-11,Male,1993-03-12,23,Less than 25,Caucasian,0,5,0,0,0,-1,2014-03-10 08:14:12,2014-03-11 01:13:40,14004145MM10A,2014-03-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-11,Risk of Violence,6,Medium,2014-03-11,2014-03-10,2014-03-11,0,0,752,0,0 +10328,chernard duval,chernard,duval,2013-10-21,Male,1990-12-03,25,25 - 45,African-American,0,4,0,0,1,,,,11001609CF10A,2011-01-26,,999,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-21,Risk of Violence,5,Medium,2013-10-21,,,1,0,893,0,0 +10329,norval kelly,norval,kelly,2014-02-03,Male,1962-12-04,53,Greater than 45,Other,0,1,0,0,0,-1,2014-02-02 01:42:38,2014-02-03 01:14:46,14001820MM10A,2014-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-02,2014-02-03,0,0,788,0,0 +10330,noel sequeira,noel,sequeira,2013-04-27,Male,1949-03-29,67,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-27 03:49:46,2013-06-08 05:44:21,13008123MM10A,2013-04-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-27,2013-06-08,0,42,1070,0,0 +10332,ivan peralta,ivan,peralta,2013-05-14,Male,1977-09-22,38,25 - 45,Hispanic,0,1,0,0,0,-1,2013-05-13 02:11:53,2013-05-14 04:30:04,13009231MM10A,2013-05-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-05-13,2013-05-14,0,0,1053,0,0 +10333,frantz beneche,frantz,beneche,2013-08-01,Male,1975-07-30,40,25 - 45,Other,0,1,0,0,1,-1,2013-07-31 08:16:51,2013-08-01 12:58:43,13008850CF10A,,2013-07-31,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2015-01-27,2015-01-30,1,0,544,0,0 +10334,tyshawn dias,tyshawn,dias,2014-10-06,Male,1995-05-11,20,Less than 25,African-American,0,6,0,0,0,0,2014-10-06 04:49:35,2014-10-07 01:57:41,14013494CF10A,2014-10-06,,0,F,Threat Public Servant,1,15011650CF10A,(F3),0,2015-09-08,Possession Burglary Tools,2015-09-08,2015-09-19,,0,,,,,Risk of Recidivism,6,Medium,2014-10-06,Risk of Violence,8,High,2014-10-06,2015-09-08,2015-09-19,0,1,337,1,1 +10335,maxine peart,maxine,peart,2013-05-29,Female,1970-05-29,45,Greater than 45,Other,0,1,0,0,1,-1,2013-05-28 01:09:38,2013-05-30 01:19:38,12010462CF10A,,2013-05-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-28,2013-05-30,1,1,1038,0,0 +10336,bruce brundage,bruce,brundage,2013-12-07,Male,1986-06-07,29,25 - 45,African-American,1,8,0,0,3,-1,2013-12-06 03:58:46,2014-02-04 09:32:08,13022654MM10A,2013-12-06,,1,M,Battery,1,14002162MM10A,(M1),,2014-02-07,Battery,,,,1,14002162MM10A,(M1),2014-02-07,Battery,Risk of Recidivism,8,High,2013-12-07,Risk of Violence,8,High,2013-12-07,2013-12-06,2014-02-04,3,59,62,1,1 +10337,jackson echeniquepadilla,jackson,echeniquepadilla,2013-02-11,Male,1983-12-07,32,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-11 04:34:29,2013-02-11 07:32:37,13003045MM10A,2013-02-11,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,3,Low,2013-02-11,2013-02-11,2013-02-11,0,0,1145,0,0 +10338,allison centolella,allison,centolella,2013-02-26,Female,1981-07-31,34,25 - 45,Caucasian,0,2,0,1,0,-2,2013-02-24 11:49:15,2013-02-25 09:02:34,13002809CF10A,2013-02-23,,3,F,Possession of Cocaine,1,13031378TC10A,(M2),101,2013-04-25,Susp Drivers Lic 1st Offense,2013-08-04,2013-08-12,,0,,,,,Risk of Recidivism,2,Low,2013-02-26,Risk of Violence,1,Low,2013-02-26,2013-08-04,2013-08-12,0,0,58,1,1 +10339,dvonte stewart,dvonte,stewart,2014-04-07,Male,1992-11-03,23,Less than 25,African-American,0,10,0,0,1,231,2014-11-24 01:31:11,2015-04-22 11:50:05,10024797MM10A,2010-11-16,,1238,M,Prowling/Loitering,1,15007098MM10A,(M1),0,2015-07-02,Battery,2015-07-02,2015-08-21,,1,15007098MM10A,(M1),2015-07-02,Battery,Risk of Recidivism,10,High,2014-04-07,Risk of Violence,10,High,2014-04-07,2014-11-24,2015-04-22,1,0,231,0,1 +10343,syrefia kinchen,syrefia,kinchen,2013-01-07,Female,1976-10-10,39,25 - 45,Other,0,1,0,0,0,-1,2013-01-06 08:13:47,2013-01-07 09:42:45,13000238CF10A,2013-01-06,,1,F,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-07,Risk of Violence,1,Low,2013-01-07,2013-01-06,2013-01-07,0,0,1180,0,0 +10344,todd brown,todd,brown,2014-01-23,Male,1986-12-24,29,25 - 45,African-American,0,2,0,0,0,0,2014-01-23 04:25:31,2014-01-24 09:37:02,14000998CF10A,2014-01-23,,0,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-23,2014-01-24,0,1,799,0,0 +10345,john mompremier,john,mompremier,2013-08-27,Male,1969-11-12,46,Greater than 45,African-American,0,1,0,0,4,-8,2013-08-19 03:15:35,2013-08-27 10:56:34,13011711CF10A,,2013-08-20,7,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-19,2013-08-27,4,0,948,0,0 +10346,danny black,danny,black,2013-12-29,Male,1984-12-17,31,25 - 45,African-American,0,8,0,0,9,-1,2013-12-28 02:25:38,2014-01-24 03:19:10,13023915MM10A,2013-12-28,,1,M,Battery,1,14004242CF10A,(F3),0,2014-03-25,Possession of Cocaine,2014-03-25,2014-03-27,,1,15006614MM10A,(M1),2015-05-20,Battery,Risk of Recidivism,8,High,2013-12-29,Risk of Violence,8,High,2013-12-29,2014-03-25,2014-03-27,9,26,86,1,1 +10348,carlheinz caprice,carlheinz,caprice,2013-02-12,Male,1991-10-24,24,Less than 25,African-American,0,2,0,0,1,-13,2013-01-30 01:51:31,2013-01-30 07:18:13,13002190MM10A,2013-01-30,,13,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-12,Risk of Violence,4,Low,2013-02-12,2013-01-30,2013-01-30,1,0,1144,0,0 +10349,hamilton clarington,hamilton,clarington,2014-03-01,Male,1987-06-26,28,25 - 45,African-American,0,1,0,0,1,0,2014-03-01 02:22:04,2014-03-01 10:22:26,13017225CF10A,,2014-03-01,0,F,arrest case no charge,1,14011978CF10A,(F2),,2014-08-30,Burglary Dwelling Occupied,,,,1,14011856CF10A,(F1),2014-08-30,Robbery-Strong Arm W/mask,Risk of Recidivism,1,Low,2014-03-01,Risk of Violence,2,Low,2014-03-01,2015-12-29,2020-01-01,1,0,182,1,1 +10351,mercedes barrett,mercedes,barrett,2014-02-09,Female,1990-12-29,25,25 - 45,African-American,0,4,0,0,0,-1,2014-02-08 09:24:33,2014-02-10 03:56:31,14002193MM10A,2014-02-08,,1,M,Battery,1,14010521MM10A,(M2),,2014-04-25,Compulsory Attendance Violation,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-09,Risk of Violence,5,Medium,2014-02-09,2014-02-08,2014-02-10,0,1,75,1,1 +10354,nikki williams,nikki,williams,2013-10-20,Female,1991-11-20,24,Less than 25,African-American,0,6,0,0,0,-1,2013-10-19 07:55:40,2013-10-20 08:37:38,13019805MM10A,2013-10-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-20,Risk of Violence,5,Medium,2013-10-20,2013-10-19,2013-10-20,0,0,894,0,0 +10355,renoir robinson,renoir,robinson,2013-05-18,Male,1986-09-18,29,25 - 45,Other,0,6,0,0,5,-1,2013-05-17 02:34:56,2014-01-30 06:26:52,13007048CF10A,2013-05-17,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-18,Risk of Violence,5,Medium,2013-05-18,2013-05-17,2014-01-30,5,257,1049,0,0 +10356,george bocanegra,george,bocanegra,2013-12-28,Male,1987-04-29,28,25 - 45,Hispanic,0,8,0,0,3,-1,2013-12-27 05:37:54,2014-06-10 10:33:46,13017868CF10A,,2013-12-27,1,F,arrest case no charge,1,15001566MM10A,(M2),0,2015-02-07,Petit Theft,2015-02-07,2015-06-08,,1,15010780CF10A,(F2),2015-08-21,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,8,High,2013-12-28,Risk of Violence,8,High,2013-12-28,2015-02-07,2015-06-08,3,164,406,1,1 +10357,jonathon mckenzie,jonathon,mckenzie,2014-03-20,Male,1979-10-24,36,25 - 45,Caucasian,0,2,0,0,1,-2,2014-03-18 06:08:02,2014-03-19 01:20:16,14003786CF10A,2014-03-18,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-03-18,2014-03-19,1,0,743,0,0 +10359,christopher lewis,christopher,lewis,2013-04-27,Male,1991-01-24,25,25 - 45,African-American,0,6,0,0,2,0,2013-04-27 10:39:31,2013-04-30 07:29:55,13008137MM10A,2013-04-27,,0,M,Tresspass in Structure or Conveyance,1,15013125MM10A,(M2),,2015-12-21,Battery,,,,1,15013125MM10A,(M2),2015-12-21,Battery,Risk of Recidivism,6,Medium,2013-04-27,Risk of Violence,5,Medium,2013-04-27,2013-06-18,2013-08-05,2,3,52,0,0 +10360,ali juma,ali,juma,2013-12-28,Male,1986-05-26,29,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-28 05:20:25,2014-01-11 05:07:00,13017906CF10A,2013-12-27,,1,F,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,2,Low,2013-12-28,2013-12-28,2014-01-11,0,14,825,0,0 +10361,sarah seiler,sarah,seiler,2013-05-06,Female,1990-03-29,26,25 - 45,Caucasian,0,9,0,0,1,-1,2013-05-05 07:23:19,2013-05-08 08:21:21,13006424CF10A,2013-05-05,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-06,Risk of Violence,7,Medium,2013-05-06,2013-12-03,2013-12-04,1,2,211,0,0 +10363,wayne pinnock,wayne,pinnock,2013-11-27,Male,1992-06-09,23,Less than 25,African-American,1,9,0,0,3,-1,2013-11-26 05:25:15,2013-11-28 02:20:24,13016479CF10A,2013-11-26,,1,F,Pos Cannabis W/Intent Sel/Del,1,13016715CF10A,(F3),1,2013-12-03,Possession of Cannabis,2013-12-04,2014-03-06,,0,,,,,Risk of Recidivism,9,High,2013-11-27,Risk of Violence,9,High,2013-11-27,2013-11-26,2013-11-28,3,1,6,1,1 +10364,zaneti bienaime,zaneti,bienaime,2014-02-10,Male,1995-10-10,20,Less than 25,Other,0,10,0,0,1,-1,2014-02-09 08:00:05,2014-03-17 07:46:25,14001818CF10A,2014-02-09,,1,F,Grand Theft (Motor Vehicle),1,14007757CF10A,(M1),0,2014-06-05,Trespass Property w/Dang Weap,2014-06-05,2014-09-23,,0,,,,,Risk of Recidivism,10,High,2014-02-10,Risk of Violence,9,High,2014-02-10,2014-06-05,2014-09-23,1,35,115,1,1 +10367,kenneth littlejohn,kenneth,littlejohn,2013-04-04,Male,1983-07-31,32,25 - 45,African-American,0,6,0,0,4,-1,2013-04-03 01:08:33,2013-04-04 01:15:44,13004769CF10A,2013-04-03,,1,F,Driving While License Revoked,1,15017969TC20A,(M2),,2015-03-11,Operating W/O Valid License,,,,1,15010987MM10A,(M1),2015-09-12,Battery,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,3,Low,2013-04-04,2013-04-03,2013-04-04,4,0,706,1,1 +10369,giovanna flores,giovanna,flores,2013-11-23,Male,1986-07-15,29,25 - 45,Hispanic,0,1,0,0,1,0,2013-11-23 02:20:27,2013-11-25 02:34:28,13016305CF10A,2013-11-22,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-23,Risk of Violence,2,Low,2013-11-23,2013-11-23,2013-11-25,1,2,860,0,0 +10370,taryn quinterri,taryn,quinterri,2013-12-05,Female,1989-12-02,26,25 - 45,Caucasian,0,3,0,0,0,-1,2013-12-04 12:52:58,2013-12-05 09:54:23,13016769CF10A,2013-12-04,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-05,Risk of Violence,3,Low,2013-12-05,2013-12-04,2013-12-05,0,0,848,0,0 +10371,edwin martinez,edwin,martinez,2013-06-10,Male,1970-10-21,45,Greater than 45,Hispanic,0,1,0,0,3,-83,2013-03-19 12:47:07,2013-03-20 02:58:11,13004055CF10A,2013-03-20,,82,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-10,Risk of Violence,1,Low,2013-06-10,2013-03-19,2013-03-20,3,0,1026,0,0 +10372,barton schroeder,barton,schroeder,2013-11-18,Male,1980-08-29,35,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-17 11:40:34,2013-11-18 08:28:53,13021604MM10A,2013-11-17,,1,M,Driving Under The Influence,1,14022957TC20A,(M2),,2014-03-11,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-11-17,2013-11-18,0,0,113,1,1 +10375,stiven alexis,stiven,alexis,2014-01-13,Male,1993-02-12,23,Less than 25,African-American,0,4,0,0,0,-2,2014-01-11 02:22:37,2014-01-12 01:57:14,14000561MM10A,2014-01-11,,2,M,Possess Drug Paraphernalia,1,15001543MM10A,(M2),0,2015-02-06,Trespass Struct/Conveyance,2015-02-06,2015-02-06,,0,,,,,Risk of Recidivism,4,Low,2014-01-13,Risk of Violence,4,Low,2014-01-13,2015-02-06,2015-02-06,0,0,389,0,1 +10376,ivette lopez,ivette,lopez,2014-03-10,Female,1969-05-10,46,Greater than 45,Caucasian,0,1,0,0,0,0,2014-03-10 04:52:56,2014-03-10 08:40:21,14009443MU10A,2014-03-10,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-10,Risk of Violence,1,Low,2014-03-10,2014-03-10,2014-03-10,0,0,753,0,0 +10377,michael vento,michael,vento,2013-04-29,Male,1975-03-01,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-28 06:37:34,2013-04-29 06:56:58,13006108CF10A,2013-04-28,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-28,2013-04-29,0,0,1068,0,0 +10378,daniel barrett,daniel,barrett,2013-03-20,Male,1994-02-11,22,Less than 25,Caucasian,0,6,0,1,0,0,2013-03-20 04:57:45,2013-03-20 08:02:31,13005477MM10A,2013-03-19,,1,M,Possess Cannabis/20 Grams Or Less,1,13021032MM10A,(M1),0,2013-11-07,Possess Cannabis/20 Grams Or Less,2013-11-07,2013-11-08,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,6,Medium,2013-03-20,2013-11-07,2013-11-08,0,0,232,1,1 +10379,deandre chambers,deandre,chambers,2013-01-16,Male,1988-11-14,27,25 - 45,African-American,0,7,0,0,7,-1,2013-01-15 11:07:57,2013-02-12 03:39:37,13000699CF10A,2013-01-15,,1,M,Robbery / No Weapon,1,13014916MM10A,(M1),0,2013-08-07,Possess Cannabis/20 Grams Or Less,2013-08-07,2013-08-08,,0,,,,,Risk of Recidivism,7,Medium,2013-01-16,Risk of Violence,9,High,2013-01-16,2013-08-07,2013-08-08,7,27,203,1,1 +10380,rosemary marchal,rosemary,marchal,2013-05-06,Female,1977-06-24,38,25 - 45,Other,0,1,0,0,0,-1,2013-05-05 03:26:04,2013-05-06 12:07:20,13008715MM10A,2013-05-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-05,2013-05-06,0,0,1061,0,0 +10381,alicia jackson,alicia,jackson,2013-10-09,Female,1991-09-02,24,Less than 25,African-American,0,6,0,0,1,26,2013-11-04 03:09:22,2013-11-05 01:19:17,13000990CF10A,2013-01-21,,261,F,Sale/Del Cannabis At/Near Scho,1,13015368CF10A,(M1),1,2013-11-03,Battery,2013-11-04,2013-11-05,,1,13015368CF10A,(M1),2013-11-03,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-10-09,Risk of Violence,5,Medium,2013-10-09,2015-04-07,2015-08-01,1,0,25,1,1 +10383,joshua johnson,joshua,johnson,2013-08-16,Male,1988-08-28,27,25 - 45,African-American,0,9,0,0,10,-1,2013-08-15 04:50:51,2013-08-16 09:06:45,13011484CF10A,2013-08-15,,1,F,Driving While License Revoked,1,14000417CF10A,(F3),0,2014-01-10,Possession of Cocaine,2014-01-10,2014-02-15,,0,,,,,Risk of Recidivism,9,High,2013-08-16,Risk of Violence,6,Medium,2013-08-16,2014-01-10,2014-02-15,10,0,147,1,1 +10386,robert sandholzer,robert,sandholzer,2013-09-05,Male,1993-07-01,22,Less than 25,Caucasian,0,7,0,0,1,-1,2013-09-04 01:42:39,2013-09-28 04:10:51,13016932MM10A,2013-09-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-05,Risk of Violence,6,Medium,2013-09-05,2013-09-04,2013-09-28,1,23,939,0,0 +10387,helena thornton,helena,thornton,2013-08-23,Female,1973-03-22,43,25 - 45,African-American,0,2,0,0,3,-44,2013-07-10 12:43:44,2013-08-23 10:12:31,13007486CF10A,,2013-07-10,44,F,arrest case no charge,1,15005103CF10A,(M1),0,2015-04-17,Possess Drug Paraphernalia,2015-04-17,2015-04-18,,0,,,,,Risk of Recidivism,2,Low,2013-08-23,Risk of Violence,1,Low,2013-08-23,2015-04-17,2015-04-18,3,0,602,1,1 +10388,mercedes richardson,mercedes,richardson,2013-02-23,Male,1990-03-30,26,25 - 45,African-American,0,6,1,0,3,-1,2013-02-22 04:50:04,2013-02-24 06:40:31,13018277TC10A,,2013-02-22,1,M,arrest case no charge,1,13013510TC10A,(M1),0,2013-03-03,Opert With Susp DL 2nd Offens,2013-03-03,2013-03-04,,0,,,,,Risk of Recidivism,6,Medium,2013-02-23,Risk of Violence,5,Medium,2013-02-23,2013-03-03,2013-03-04,3,1,8,1,1 +10389,jayson norman,jayson,norman,2013-05-22,Male,1989-09-23,26,25 - 45,Caucasian,0,6,0,0,7,-1,2013-05-21 05:19:13,2013-07-29 04:36:22,13009783MM10A,2013-05-21,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-22,Risk of Violence,5,Medium,2013-05-22,2013-09-10,2013-11-27,7,68,111,0,0 +10390,adam diaz,adam,diaz,2013-08-11,Male,1986-09-16,29,25 - 45,Caucasian,0,4,0,0,3,-1,2013-08-10 11:11:22,2013-08-11 11:22:34,13011228CF10A,2013-08-10,,1,F,Possession of Cocaine,1,13017430CF10A,(F3),0,2013-12-17,Possession Of Alprazolam,2013-12-17,2014-01-17,,0,,,,,Risk of Recidivism,4,Low,2013-08-11,Risk of Violence,2,Low,2013-08-11,2013-12-17,2014-01-17,3,0,128,1,1 +10393,kenneth branch,kenneth,branch,2014-04-03,Female,1973-12-23,42,25 - 45,African-American,3,10,0,0,17,-8,2014-03-26 05:02:49,2014-04-03 05:28:10,14004299CF10A,2014-03-26,,8,F,Possession of Cocaine,1,14007613MM10A,(M2),0,2014-05-08,Petit Theft,2014-05-08,2014-06-23,,0,,,,,Risk of Recidivism,10,High,2014-04-03,Risk of Violence,7,Medium,2014-04-03,2014-05-08,2014-06-23,17,0,35,1,1 +10394,christopher jordan,christopher,jordan,2014-03-31,Male,1985-05-09,30,25 - 45,African-American,0,1,0,0,0,-1,2014-03-30 06:21:42,2014-03-31 01:49:16,14005465MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-30,2014-03-31,0,0,732,0,0 +10399,mauro funez,mauro,funez,2013-08-28,Male,1981-10-21,34,25 - 45,Caucasian,0,5,0,0,1,-1,2013-08-27 12:17:50,2013-08-28 08:02:22,13012096CF10A,2013-08-27,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-28,Risk of Violence,4,Low,2013-08-28,2013-08-27,2013-08-28,1,0,947,0,0 +10400,christopher leal,christopher,leal,2014-01-02,Male,1992-11-15,23,Less than 25,Caucasian,0,7,0,7,3,-1,2014-01-01 07:02:36,2014-01-02 09:18:31,14000032MM10A,2014-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-02,Risk of Violence,9,High,2014-01-02,2014-01-01,2014-01-02,3,0,820,0,0 +10401,olga baum,olga,baum,2013-04-03,Female,1968-06-25,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-02 11:45:32,2013-04-03 07:34:16,13006358MM10A,2013-04-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2013-04-02,2013-04-03,0,0,1094,0,0 +10402,philip jamison,philip,jamison,2013-05-18,Male,1961-01-19,55,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-05-17 01:50:39,2013-05-30 08:03:27,13007418MM10A,,2013-05-17,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-18,Risk of Violence,1,Low,2013-05-18,2013-05-17,2013-05-30,2,12,1049,0,0 +10403,michelle gregorovic,michelle,gregorovic,2014-10-14,Female,1985-05-16,30,25 - 45,Caucasian,0,5,0,0,5,-168,2014-04-29 09:52:20,2014-10-06 11:01:07,14005955CF10A,2014-04-29,,168,F,Sel Etc/Pos/w/Int Contrft Schd,1,15011706MM10A,(M1),1,2015-11-08,Battery,2015-11-09,2015-11-18,,1,15011706MM10A,(M1),2015-11-08,Battery,Risk of Recidivism,5,Medium,2014-10-14,Risk of Violence,2,Low,2014-10-14,2015-11-09,2015-11-18,5,0,390,1,1 +10404,jeremy gebar,jeremy,gebar,2013-09-15,Male,1985-11-02,30,25 - 45,Hispanic,0,3,0,0,0,-1,2013-09-14 02:02:37,2013-09-15 10:50:57,13017515MM10A,2013-09-14,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-15,Risk of Violence,2,Low,2013-09-15,2013-09-14,2013-09-15,0,0,929,0,0 +10406,fredrick lambert,fredrick,lambert,2013-01-12,Male,1973-04-17,43,25 - 45,African-American,0,7,0,0,2,0,2013-01-12 12:58:49,2013-01-12 07:44:29,13000560CF10A,2013-01-11,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-12,Risk of Violence,6,Medium,2013-01-12,2013-01-12,2013-01-12,2,0,1175,0,0 +10407,devin beasley,devin,beasley,2014-07-06,Male,1970-12-11,45,Greater than 45,African-American,0,8,0,0,38,-1,2014-07-05 06:23:46,2014-11-03 09:34:22,14010593CF10A,2014-07-05,,1,F,Felony Battery w/Prior Convict,1,15010630MM10A,(M1),1,2015-10-11,Resist/Obstruct W/O Violence,2015-10-12,2015-11-18,,1,16001690CF10A,(F3),2016-02-08,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2014-07-06,Risk of Violence,8,High,2014-07-06,2014-07-05,2014-11-03,38,120,462,1,1 +10408,julio matamoros,julio,matamoros,2014-01-03,Male,1985-06-23,30,25 - 45,Hispanic,0,1,0,0,0,-1,2014-01-02 01:34:35,2014-01-03 01:49:26,14000087MM10A,2014-01-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-03,Risk of Violence,1,Low,2014-01-03,2014-01-02,2014-01-03,0,0,819,0,0 +10410,christi sluder,christi,sluder,2013-11-21,Female,1955-03-16,61,Greater than 45,Caucasian,0,6,0,0,15,-10,2013-11-11 09:56:16,2013-11-12 02:06:02,13015691CF10A,2013-11-11,,10,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-21,Risk of Violence,2,Low,2013-11-21,2013-11-11,2013-11-12,15,0,862,0,0 +10411,james turnquest,james,turnquest,2013-09-16,Male,1952-09-25,63,Greater than 45,African-American,0,9,0,0,16,,,,11006650MM10A,2011-03-21,,910,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-16,Risk of Violence,5,Medium,2013-09-16,2007-10-18,2009-04-11,16,0,928,0,0 +10412,nikolay petrov,nikolay,petrov,2013-02-25,Male,1966-06-11,49,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-24 06:39:36,2013-02-25 01:34:30,13002839CF10A,2013-02-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-02-24,2013-02-25,0,0,1131,0,0 +10413,gervaise hylton,gervaise,hylton,2014-03-30,Male,1966-04-26,49,Greater than 45,African-American,0,1,0,0,1,0,2014-03-30 12:16:19,2014-03-30 09:48:37,14005430MM10A,2014-03-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-05-14,2014-05-15,1,0,45,0,0 +10415,jason bartley,jason,bartley,2013-03-01,Male,1973-07-02,42,25 - 45,African-American,0,1,0,0,1,0,2013-03-01 02:08:27,2013-03-01 09:58:28,13003068CF10A,2013-03-01,,0,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-01,1,0,1127,0,0 +10416,marshall phillips,marshall,phillips,2013-02-19,Male,1991-09-24,24,Less than 25,African-American,0,7,0,0,1,-1,2013-02-18 01:55:35,2013-03-15 01:12:27,13003465MM10A,2013-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-19,Risk of Violence,5,Medium,2013-02-19,2014-11-08,2014-12-18,1,24,627,0,0 +10417,mario delrio,mario,delrio,2013-08-20,Male,1964-12-06,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-19 07:04:31,2013-08-20 07:15:48,13011607CF10A,2013-08-19,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-20,0,0,955,0,0 +10419,joe martinez,joe,martinez,2014-07-28,Male,1984-02-13,32,25 - 45,Hispanic,0,5,0,0,6,-1,2014-07-27 06:39:32,2014-08-05 07:52:03,14011428MM10A,2014-07-27,,1,M,Battery,1,14017069MM10A,(M2),,2014-11-08,Drinking Alch Beverage In Open,,,,1,15001713CF10A,(F3),2015-02-05,Robbery Sudd Snatch No Weapon,Risk of Recidivism,5,Medium,2014-07-28,Risk of Violence,2,Low,2014-07-28,2014-07-27,2014-08-05,6,8,103,1,1 +10420,michael koons,michael,koons,2014-07-30,Male,1987-08-03,28,25 - 45,Caucasian,0,4,0,0,4,-151,2014-03-01 03:43:30,2014-04-30 10:35:00,14002903CF10A,,2014-03-01,151,F,arrest case no charge,1,15002512MM10A,(M1),0,2015-03-02,Battery,2015-03-02,2015-03-27,,1,15002512MM10A,(M1),2015-03-02,Battery,Risk of Recidivism,4,Low,2014-07-30,Risk of Violence,3,Low,2014-07-30,2015-03-02,2015-03-27,4,0,215,1,1 +10422,joseph garafolo,joseph,garafolo,2013-09-23,Male,1989-10-30,26,25 - 45,Caucasian,0,3,0,1,2,-1,2013-09-22 07:19:03,2013-10-11 09:40:58,13013338CF10A,2013-09-22,,1,F,Burglary Dwelling Assault/Batt,1,13062851TC20A,(M2),,2013-10-16,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-09-22,2013-10-11,2,18,23,1,1 +10423,brandon rogers,brandon,rogers,2014-10-30,Male,1988-02-16,28,25 - 45,Caucasian,0,2,0,0,2,0,2014-10-30 01:25:13,2014-12-11 10:13:45,14014536CF10A,2014-10-29,,1,F,Tamper With Witness/Victim/CI,1,15024702TC20A,(M2),233,2015-03-06,Driving License Suspended,2015-10-25,2015-12-11,,0,,,,,Risk of Recidivism,2,Low,2014-10-30,Risk of Violence,2,Low,2014-10-30,2014-10-30,2014-12-11,2,42,127,1,1 +10424,anthony wells,anthony,wells,2014-01-13,Male,1966-09-13,49,Greater than 45,African-American,0,1,0,0,2,-1,2014-01-12 07:53:09,2014-01-14 03:31:14,14000531CF10A,2014-01-12,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-12,2014-01-14,2,1,809,0,0 +10425,toccara mcgill,toccara,mcgill,2014-12-12,Female,1982-11-05,33,25 - 45,African-American,0,1,0,0,6,-67,2014-10-06 08:42:54,2014-10-07 08:53:29,14023910MU10A,,2014-10-08,65,M,arrest case no charge,1,15013117TC20A,(M2),,2015-02-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-12-12,Risk of Violence,1,Low,2014-12-12,2015-10-29,2015-12-15,6,0,62,1,1 +10426,jose llaguna,jose,llaguna,2013-10-29,Male,1969-04-12,47,Greater than 45,Caucasian,0,1,0,0,1,-43,2013-09-16 06:36:09,2013-10-29 10:16:35,13013138CF10A,,2013-09-17,42,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-29,Risk of Violence,1,Low,2013-10-29,2013-09-16,2013-10-29,1,0,885,0,0 +10427,john tokay,john,tokay,2013-03-16,Male,1959-08-29,56,Greater than 45,Caucasian,0,2,0,0,1,0,2013-03-16 03:33:00,2013-04-20 05:57:09,13003840CF10A,2013-03-16,,0,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-16,Risk of Violence,3,Low,2013-03-16,2013-03-16,2013-04-20,1,35,1112,0,0 +10428,marvin bennett,marvin,bennett,2013-01-04,Male,1962-07-10,53,Greater than 45,Caucasian,0,4,0,0,8,-1,2013-01-03 03:26:52,2013-01-08 12:29:25,13000180MM10A,2013-01-03,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-01-16,2013-03-13,8,4,12,0,0 +10429,irvans brutus,irvans,brutus,2013-09-23,Male,1988-09-25,27,25 - 45,Other,0,2,0,0,2,-1,2013-09-22 07:46:53,2013-09-24 04:26:01,13018075MM10A,2013-09-22,,1,M,Criminal Mischief Damage <$200,1,13022475MM10A,(M1),0,2013-12-03,Viol Pretrial Release Dom Viol,2013-12-03,2013-12-05,,1,13017886CF10A,(F2),2013-12-28,Shoot In Occupied Building,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-12-03,2013-12-05,2,1,71,1,1 +10430,lazaro perez,lazaro,perez,2013-12-16,Male,1981-12-10,34,25 - 45,Hispanic,0,6,0,0,17,-1,2013-12-15 11:45:23,2014-01-24 10:54:40,08023891CF10A,,2013-12-16,0,F,arrest case no charge,1,14014273CF10A,(F3),39,2014-09-14,Grand Theft in the 3rd Degree,2014-10-23,2015-09-22,,0,,,,,Risk of Recidivism,6,Medium,2013-12-16,Risk of Violence,8,High,2013-12-16,2013-12-15,2014-01-24,17,39,272,1,1 +10431,adam rodgers,adam,rodgers,2013-04-14,Male,1975-02-14,41,25 - 45,Caucasian,0,1,0,0,3,-1,2013-04-13 07:21:37,2013-04-14 02:55:27,13007172MM10A,2013-04-13,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-14,Risk of Violence,1,Low,2013-04-14,2013-04-13,2013-04-14,3,0,1083,0,0 +10432,sean martin,sean,martin,2014-01-14,Male,1970-10-24,45,Greater than 45,African-American,0,4,0,0,6,0,2014-01-14 02:25:13,2014-01-15 11:05:21,14000613CF10A,2014-01-13,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-14,2014-01-15,6,1,808,0,0 +10434,john lasko,john,lasko,2013-05-11,Male,1968-05-16,47,Greater than 45,Caucasian,0,2,0,0,2,,,,12000560MM20A,2012-01-03,,494,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-11,Risk of Violence,1,Low,2013-05-11,,,2,0,1056,0,0 +10436,briani jackson,briani,jackson,2013-01-31,Female,1994-09-02,21,Less than 25,African-American,0,10,0,0,0,0,2013-01-31 01:46:36,2013-04-19 01:09:04,13001570CF10A,2013-01-30,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-31,Risk of Violence,9,High,2013-01-31,2013-01-31,2013-04-19,0,78,1156,0,0 +10437,daniel price,daniel,price,2013-12-07,Male,1988-07-20,27,25 - 45,Caucasian,0,4,0,1,2,0,2013-12-07 03:16:27,2013-12-08 08:18:55,13022663MM10A,2013-12-07,,0,M,Battery,1,14015348CF10A,(F2),0,2014-11-14,,2014-11-14,2014-11-16,,1,14007519MO10A,(MO3),2014-04-22,DOC/Engage In Fighting,Risk of Recidivism,4,Low,2013-12-07,Risk of Violence,3,Low,2013-12-07,2013-12-31,2014-01-01,2,1,24,0,1 +10439,daniel martins,daniel,martins,2014-02-02,Male,1994-05-03,21,Less than 25,African-American,0,3,0,0,0,-2,2014-01-31 11:42:11,2014-02-14 01:25:03,14001456CF10A,2014-01-31,,2,F,Burglary Conveyance Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-02,Risk of Violence,5,Medium,2014-02-02,2014-01-31,2014-02-14,0,12,789,0,0 +10440,william jarjour,william,jarjour,2013-03-28,Male,1984-08-11,31,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-27 11:38:46,2013-06-17 05:47:59,13004419CF10A,2013-03-27,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-06-17,0,81,1100,0,0 +10443,ana mejarodriguez,ana,mejarodriguez,2013-02-13,Female,1970-06-09,45,Greater than 45,Hispanic,0,1,0,0,0,0,2013-02-13 03:47:44,2013-02-14 06:32:55,13003160MM10A,2013-02-12,,1,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-02-13,2013-02-14,0,1,1143,0,0 +10444,isaac wright,isaac,wright,2013-03-27,Male,1985-07-13,30,25 - 45,African-American,2,6,0,0,8,-1,2013-03-26 11:22:35,2013-03-27 07:44:38,13002630CF10A,,2013-03-26,1,F,arrest case no charge,1,15010198MM10A,(M1),,2015-08-25,Battery,,,,1,15010198MM10A,(M1),2015-08-25,Battery,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,4,Low,2013-03-27,2013-03-26,2013-03-27,8,0,881,1,0 +10445,raul castro,raul,castro,2013-02-11,Male,1973-03-12,43,25 - 45,Hispanic,0,1,0,0,1,-1,2013-02-10 11:12:41,2013-02-11 07:13:37,13002961MM10A,2013-02-10,,1,M,DUI Property Damage/Injury,1,14042031TC20A,(M2),,2014-06-07,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2014-09-26,2014-10-20,1,0,481,1,1 +10446,jerry morival,jerry,morival,2013-04-27,Male,1993-02-08,23,Less than 25,African-American,0,4,0,0,0,-1,2013-04-26 09:39:57,2013-04-27 01:16:31,13006036CF10A,2013-04-26,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,5,Medium,2013-04-27,2013-09-04,2013-11-20,0,0,130,0,0 +10447,luis melendez,luis,melendez,2013-01-30,Male,1963-04-20,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-29 07:52:06,2013-01-30 01:36:21,13001438CF10A,2013-01-29,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-30,Risk of Violence,1,Low,2013-01-30,2013-04-22,2013-04-28,1,0,82,0,0 +10448,sheldon clark,sheldon,clark,2013-11-11,Male,1967-10-26,48,Greater than 45,African-American,0,4,0,0,11,-1,2013-11-10 09:03:08,2014-01-05 11:15:20,13021210MM10A,2013-11-10,,1,M,Resist/Obstruct W/O Violence,1,13022403MM10A,(M1),,2013-11-27,Extradition/Defendants,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-11,Risk of Violence,4,Low,2013-11-11,2013-11-10,2014-01-05,11,0,16,1,1 +10449,thajuana allen,thajuana,allen,2013-12-05,Female,1964-05-25,51,Greater than 45,African-American,0,2,0,0,3,-1,2013-12-04 09:45:14,2013-12-05 08:30:14,13016839CF10A,2013-12-04,,1,M,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-05,Risk of Violence,2,Low,2013-12-05,2013-12-04,2013-12-05,3,0,848,0,0 +10450,cesare casamassa,cesare,casamassa,2014-10-07,Male,1985-09-22,30,25 - 45,Caucasian,0,2,0,0,1,-4,2014-10-03 04:19:06,2014-10-04 07:18:23,14063284TC30A,,2014-10-03,4,M,arrest case no charge,1,16004526TC40A,(M2),,2016-01-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-10-07,Risk of Violence,2,Low,2014-10-07,2015-01-28,2015-01-28,1,0,113,0,1 +10451,showanda paul,showanda,paul,2014-03-06,Female,1986-11-16,29,25 - 45,African-American,0,4,0,0,5,-9,2014-02-25 11:58:58,2014-03-06 10:15:48,13017271CF10A,,2014-02-25,9,F,arrest case no charge,1,14013325MM10A,(M1),0,2014-09-05,Possess Cannabis/20 Grams Or Less,2014-09-05,2014-09-06,,0,,,,,Risk of Recidivism,4,Low,2014-03-06,Risk of Violence,5,Medium,2014-03-06,2014-09-05,2014-09-06,5,0,183,1,1 +10452,kerri reid-cooks,kerri,reid-cooks,2013-09-11,Female,1971-07-06,44,25 - 45,African-American,0,1,0,0,0,0,2013-09-11 04:56:33,2013-09-11 08:34:19,13012863CF10A,2013-09-11,,0,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2013-09-11,2013-09-11,0,0,933,0,0 +10454,elton jones,elton,jones,2013-09-06,Male,1982-02-17,34,25 - 45,African-American,0,6,0,0,12,0,2013-09-06 03:59:45,2013-09-07 08:27:43,13012601CF10A,2013-09-05,,1,F,Leaving the Scene of Accident,1,13014974CF10A,(F3),0,2013-10-25,"Poss3,4 Methylenedioxymethcath",2013-10-25,2013-10-26,,0,,,,,Risk of Recidivism,6,Medium,2013-09-06,Risk of Violence,2,Low,2013-09-06,2013-10-25,2013-10-26,12,1,49,1,1 +10455,cinthya sanchez,cinthya,sanchez,2013-04-08,Female,1990-08-07,25,25 - 45,Hispanic,0,4,0,0,0,0,2013-04-08 03:27:11,2013-04-08 08:53:40,13005064CF10A,2013-04-07,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-04-08,2013-04-08,0,0,1089,0,0 +10456,ladarius blue,ladarius,blue,2013-01-10,Male,1988-02-16,28,25 - 45,African-American,1,7,2,0,5,-1,2013-01-09 07:57:58,2013-01-11 09:20:23,13000364CF10A,2013-01-09,,1,F,Aggrav Battery w/Deadly Weapon,1,13035915TC10A,(M2),,2013-04-10,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-10,Risk of Violence,8,High,2013-01-10,2013-01-09,2013-01-11,5,1,90,1,1 +10457,cleon best,cleon,best,2013-12-19,Male,1987-10-21,28,25 - 45,African-American,0,7,0,0,9,-1,2013-12-18 03:09:12,2014-01-30 11:22:20,13017552CF10A,,2013-12-18,1,F,arrest case no charge,1,14001175MM20A,(M1),52,2014-04-14,Possess Cannabis/20 Grams Or Less,2014-06-05,2014-07-19,,0,,,,,Risk of Recidivism,7,Medium,2013-12-19,Risk of Violence,5,Medium,2013-12-19,2013-12-18,2014-01-30,9,42,116,1,1 +10461,craig evans,craig,evans,2013-11-02,Male,1978-05-30,37,25 - 45,Other,0,1,0,0,0,-1,2013-11-01 10:55:24,2013-11-02 01:52:41,13020650MM10A,2013-11-01,,1,M,Viol Injunct Domestic Violence,1,16001232MM10A,(M1),0,2016-02-07,Battery,2016-02-07,2016-02-09,,1,16001232MM10A,(M1),2016-02-07,Battery,Risk of Recidivism,1,Low,2013-11-02,Risk of Violence,1,Low,2013-11-02,2016-02-07,2016-02-09,0,0,827,1,0 +10462,kathy holmes,kathy,holmes,2013-09-10,Female,1981-11-03,34,25 - 45,Caucasian,0,3,0,0,0,-2,2013-09-08 01:02:26,2013-09-09 04:59:23,13012648CF10A,2013-09-07,,3,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-08,2013-09-09,0,0,934,0,0 +10463,ryan debe,ryan,debe,2013-03-07,Male,1993-01-28,23,Less than 25,African-American,0,7,2,1,3,-1,2013-03-06 08:25:02,2013-03-15 10:13:53,13004527MM10A,2013-03-06,,1,M,Fail Register Vehicle,1,14008042CF10A,(M2),0,2014-06-10,Unlawful Use Of License,2014-06-10,2014-07-03,,1,14008042CF10A,(F2),2014-06-10,Agg Fleeing/Eluding High Speed,Risk of Recidivism,7,Medium,2013-03-07,Risk of Violence,9,High,2013-03-07,2013-07-13,2013-08-20,3,8,128,0,1 +10464,sylvia sarner,sylvia,sarner,2013-11-08,Male,1945-01-23,71,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-11-07 05:56:13,2013-11-07 09:04:13,13021042MM10A,2013-11-07,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2015-03-25,2015-04-01,3,0,502,0,0 +10467,paul slade,paul,slade,2013-12-10,Male,1970-12-27,45,Greater than 45,Caucasian,0,1,0,0,2,0,2013-12-10 01:55:28,2013-12-10 07:43:53,13022837MM10A,2013-12-10,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-10,2013-12-10,2,0,843,0,0 +10468,tenetta woodruff,tenetta,woodruff,2013-12-11,Female,1982-12-27,33,25 - 45,Native American,0,7,0,0,5,-1,2013-12-10 02:19:17,2013-12-12 03:37:12,13017062CF10A,2013-12-10,,1,F,Use of Anti-Shoplifting Device,1,14018960TC30A,(M2),455,2014-02-20,Permit Unauthorizd Person Drv,2015-05-21,2015-11-05,,0,,,,,Risk of Recidivism,7,Medium,2013-12-11,Risk of Violence,4,Low,2013-12-11,2013-12-17,2013-12-19,5,1,6,0,1 +10469,rabbir hossain,rabbir,hossain,2013-11-28,Male,1987-01-06,29,25 - 45,African-American,0,1,0,0,0,0,2013-11-28 06:52:48,2013-11-29 10:35:24,13022285MM10A,2013-11-28,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-28,Risk of Violence,2,Low,2013-11-28,2013-11-28,2013-11-29,0,1,855,0,0 +10471,velarry boyd,velarry,boyd,2013-12-26,Male,1963-09-04,52,Greater than 45,African-American,0,3,0,0,23,-220,2013-05-20 12:43:43,2013-12-11 11:30:00,08007031CF10A,,2013-05-20,220,F,arrest case no charge,1,15006763CF10A,(F3),0,2015-05-24,Grand Theft in the 3rd Degree,2015-05-24,2015-10-05,,0,,,,,Risk of Recidivism,3,Low,2013-12-26,Risk of Violence,1,Low,2013-12-26,2015-04-14,2015-04-29,23,0,474,0,1 +10476,charles land,charles,land,2013-08-01,Male,1990-04-12,26,25 - 45,Caucasian,0,5,0,0,1,-31,2013-07-01 03:24:16,2013-07-08 11:46:57,13001829CF10A,,2013-07-01,31,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-01,Risk of Violence,5,Medium,2013-08-01,2013-07-01,2013-07-08,1,0,974,0,0 +10477,luis tiburcio,luis,tiburcio,2013-08-06,Male,1985-04-04,31,25 - 45,Hispanic,0,1,0,0,0,,,,13014753MM10A,2013-08-05,,1,M,Battery,1,14083327TC40A,(M2),,2014-12-10,Expired Tag/ Reg>6 Months 2nd,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-06,Risk of Violence,2,Low,2013-08-06,,,0,0,491,1,1 +10479,ivan cardona,ivan,cardona,2013-09-19,Male,1979-07-08,36,25 - 45,Hispanic,0,2,0,0,5,-2,2013-09-17 08:35:34,2013-09-18 08:12:40,13013111CF10A,2013-09-17,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-19,Risk of Violence,1,Low,2013-09-19,2014-11-14,2014-11-17,5,0,421,0,0 +10480,michael williams,michael,williams,2013-10-29,Male,1963-11-17,52,Greater than 45,African-American,0,7,0,0,17,0,2013-10-29 05:11:35,2013-11-27 09:07:51,13015108CF10A,2013-10-29,,0,F,Possession of Cocaine,1,14024391TC20A,(M2),,2014-03-29,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,1,Low,2013-10-29,2013-10-29,2013-11-27,17,29,151,1,1 +10482,noel lopez,noel,lopez,2013-03-10,Male,1973-11-10,42,25 - 45,Hispanic,0,1,0,0,1,0,2013-03-10 12:20:11,2013-05-01 07:11:16,13006914CF10A,2013-03-09,,1,F,Aggrav Battery w/Deadly Weapon,1,13006885CF10A,(F3),,2013-05-14,Aggravated Assault W/dead Weap,,,,1,13006885CF10A,(F3),2013-05-14,Aggravated Assault W/dead Weap,Risk of Recidivism,1,Low,2013-03-10,Risk of Violence,1,Low,2013-03-10,2013-03-10,2013-05-01,1,52,65,1,1 +10483,nackson jean,nackson,jean,2013-03-31,Male,1994-12-29,21,Less than 25,African-American,0,5,0,0,0,-1,2013-03-30 09:16:53,2013-04-02 09:21:59,13006133MM10A,2013-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-31,Risk of Violence,8,High,2013-03-31,2013-03-30,2013-04-02,0,2,1097,0,0 +10484,brian guillen,brian,guillen,2013-09-26,Male,1986-08-31,29,25 - 45,Caucasian,0,1,0,0,2,-1,2013-09-25 12:22:48,2013-09-26 12:43:17,13013514CF10A,2013-09-25,,1,M,Fleeing or Eluding a LEO,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-26,Risk of Violence,2,Low,2013-09-26,2013-09-25,2013-09-26,2,0,918,0,0 +10486,daniel wick,daniel,wick,2013-12-19,Male,1962-03-24,54,Greater than 45,Caucasian,0,1,0,0,0,-4,2013-12-15 05:06:44,2013-12-16 08:59:37,13023212MM10A,2013-12-15,,4,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-19,Risk of Violence,1,Low,2013-12-19,2013-12-15,2013-12-16,0,0,834,0,0 +10487,john gambuzza,john,gambuzza,2013-04-08,Male,1958-03-26,58,Greater than 45,Caucasian,0,2,0,0,12,161,2013-09-16 05:05:08,2013-11-09 05:44:51,12013014CF10A,2012-09-04,,216,F,Felony Petit Theft,1,14000408MM30A,(M2),84,2014-02-17,Petit Theft,2014-05-12,2014-05-19,,0,,,,,Risk of Recidivism,2,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2013-09-16,2013-11-09,12,0,161,0,1 +10489,gail thibeault,gail,thibeault,2013-08-12,Female,1993-05-19,22,Less than 25,Caucasian,0,8,0,0,1,,,,12025506MM10A,2012-12-14,,241,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-12,Risk of Violence,9,High,2013-08-12,,,1,0,963,0,0 +10490,jacob samp,jacob,samp,2014-06-26,Male,1988-07-17,27,25 - 45,Caucasian,0,2,0,0,0,-1,2014-06-25 09:14:22,2014-06-26 09:01:39,14008757CF10A,2014-06-25,,1,F,Possession of Cocaine,1,15005164CF10A,(F3),0,2015-04-20,Possession of Cocaine,2015-04-20,2015-06-10,,0,,,,,Risk of Recidivism,2,Low,2014-06-26,Risk of Violence,2,Low,2014-06-26,2015-04-20,2015-06-10,0,0,298,1,1 +10491,anthony ali,anthony,ali,2013-12-08,Male,1986-04-28,29,25 - 45,Caucasian,0,3,0,0,1,-1,2013-12-07 07:49:30,2013-12-08 01:53:16,13022674MM10A,2013-12-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-08,Risk of Violence,2,Low,2013-12-08,2013-12-07,2013-12-08,1,0,845,0,0 +10492,dionisqui paredes,dionisqui,paredes,2014-02-06,Female,1990-05-16,25,25 - 45,Hispanic,0,6,1,2,14,-1,2014-02-05 12:50:06,2014-02-06 09:34:44,14001660CF10A,2014-02-05,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-06,Risk of Violence,4,Low,2014-02-06,2014-02-05,2014-02-06,14,0,785,0,0 +10493,yves souffrant,yves,souffrant,2013-08-19,Male,1953-10-16,62,Greater than 45,Other,0,1,0,0,0,-1,2013-08-18 04:20:46,2013-08-19 07:30:44,13015662MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-19,0,0,956,0,0 +10494,krystal thompson,krystal,thompson,2013-03-09,Female,1992-09-09,23,Less than 25,African-American,0,7,0,0,2,-1,2013-03-08 10:02:56,2013-03-09 12:07:09,13002740MM10A,,2013-03-08,1,M,arrest case no charge,1,14002064MM10A,(M1),,2013-10-30,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-09,Risk of Violence,5,Medium,2013-03-09,2013-03-08,2013-03-09,2,0,235,1,1 +10497,jimmy bessard,jimmy,bessard,2014-02-05,Male,1993-06-13,22,Less than 25,Other,0,4,0,0,1,-1,2014-02-04 04:44:40,2014-02-05 09:11:52,14001586CF10A,2014-02-04,,1,F,Grand Theft Firearm,1,15040287TC30A,(M2),,2015-05-31,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-05,Risk of Violence,5,Medium,2014-02-05,2015-03-03,2015-03-05,1,0,391,0,1 +10498,maura mitchell,maura,mitchell,2013-10-07,Female,1951-01-02,65,Greater than 45,Caucasian,0,1,0,0,1,-11,2013-09-26 11:26:33,2013-09-28 02:10:00,13013603CF10A,2013-09-26,,11,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-09-26,2013-09-28,1,0,907,0,0 +10499,mary villinis,mary,villinis,2014-08-06,Female,1988-04-18,28,25 - 45,Caucasian,0,9,0,0,5,275,2015-05-08 11:25:27,2015-08-26 04:43:35,14010666CF10A,2014-08-05,,1,F,Possession of Cocaine,1,14012285CF10A,(F3),241,2014-09-09,Possession of Cocaine,2015-05-08,2015-08-26,,0,,,,,Risk of Recidivism,9,High,2014-08-06,Risk of Violence,3,Low,2014-08-06,2015-05-08,2015-08-26,5,0,34,1,1 +10500,myron jones,myron,jones,2014-06-01,Male,1984-07-23,31,25 - 45,African-American,0,6,3,4,15,-1,2014-05-31 04:59:52,2014-08-30 05:31:10,14007540CF10A,2014-05-31,,1,F,Cruelty Toward Child,1,15002071CF10A,(F3),0,2015-02-13,Driving While License Revoked,2015-02-13,2015-02-13,,0,,,,,Risk of Recidivism,6,Medium,2014-06-01,Risk of Violence,4,Low,2014-06-01,2015-02-13,2015-02-13,15,90,257,0,1 +10502,john taddeo,john,taddeo,2013-10-24,Male,1984-12-18,31,25 - 45,Caucasian,0,1,0,0,0,0,2013-10-24 05:17:15,2013-10-25 01:21:44,13014882CF10A,2013-10-24,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,2013-10-24,2013-10-25,0,1,890,0,0 +10505,adrian grimes,adrian,grimes,2013-05-14,Male,1994-12-03,21,Less than 25,African-American,0,9,0,0,0,-1,2013-05-13 01:34:59,2013-05-18 02:09:44,13006839CF10A,2013-05-13,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-14,Risk of Violence,10,High,2013-05-14,2013-06-07,2013-06-27,0,4,24,0,0 +10506,fernando mayer,fernando,mayer,2013-03-20,Male,1988-06-29,27,25 - 45,African-American,0,7,2,0,17,0,2013-03-20 06:06:03,2013-03-21 09:33:58,13004042CF10A,2013-03-20,,0,F,Driving While License Revoked,1,13016473CF10A,(F3),,2013-11-18,Retaliate Wit/Vict No Injury,,,,1,13016473CF10A,(F2),2013-11-26,Vehicular Homicide,Risk of Recidivism,7,Medium,2013-03-20,Risk of Violence,4,Low,2013-03-20,2013-03-20,2013-03-21,17,1,243,1,1 +10507,nelson guerrero,nelson,guerrero,2013-05-05,Male,1982-12-08,33,25 - 45,Caucasian,0,2,0,0,1,-1,2013-05-04 05:57:06,2013-05-24 09:08:46,13006406CF10A,2013-05-04,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-05,Risk of Violence,5,Medium,2013-05-05,2013-05-04,2013-05-24,1,19,1062,0,0 +10509,jameal adderley,jameal,adderley,2013-03-12,Male,1990-08-05,25,25 - 45,African-American,0,7,1,0,3,-1,2013-03-11 05:03:58,2013-03-12 10:19:28,13003598CF10A,2013-03-11,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-12,Risk of Violence,6,Medium,2013-03-12,2013-03-11,2013-03-12,3,0,1116,0,0 +10510,nelson bauza,nelson,bauza,2013-05-01,Male,1976-10-11,39,25 - 45,Caucasian,0,1,0,0,1,-1,2013-04-30 08:53:59,2013-05-01 06:45:37,13006185CF10A,2013-04-30,,1,F,Possession Of Anabolic Steroid,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-01,Risk of Violence,1,Low,2013-05-01,2013-04-30,2013-05-01,1,0,1066,0,0 +10511,theodis presmy,theodis,presmy,2013-05-16,Male,1986-06-14,29,25 - 45,African-American,0,9,0,0,8,0,2013-05-16 02:40:09,2013-05-17 08:22:55,13009478MM10A,2013-05-15,,1,M,Possess Cannabis/20 Grams Or Less,1,13013561CF10A,(F3),0,2013-09-26,Possession of Cocaine,2013-09-26,2013-09-27,,1,16001464MM10A,(M1),2016-02-15,Battery,Risk of Recidivism,9,High,2013-05-16,Risk of Violence,6,Medium,2013-05-16,2013-09-26,2013-09-27,8,1,133,1,1 +10512,marvin slayden,marvin,slayden,2014-08-06,Male,1988-10-01,27,25 - 45,African-American,0,10,0,0,15,-1,2014-08-05 04:53:05,2014-09-23 01:03:33,14010634CF10A,2014-08-05,,1,F,Battery on Law Enforc Officer,1,14002736MM20A,(M1),11,2014-09-25,Trespass Other Struct/Conve,2014-10-06,2014-11-18,,0,,,,,Risk of Recidivism,10,High,2014-08-06,Risk of Violence,5,Medium,2014-08-06,2014-08-05,2014-09-23,15,48,50,1,1 +10513,jennifer crowe,jennifer,crowe,2013-07-02,Female,1974-03-03,42,25 - 45,Caucasian,0,1,0,0,0,-3,2013-06-29 10:35:16,2013-07-01 02:17:11,13009181CF10A,2013-06-29,,3,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-02,Risk of Violence,1,Low,2013-07-02,2013-06-29,2013-07-01,0,0,1004,0,0 +10514,justin reynoso,justin,reynoso,2014-03-18,Male,1995-03-14,21,Less than 25,Caucasian,0,9,0,0,0,-1,2014-03-17 12:36:30,2014-03-18 01:26:47,14003755CF10A,2014-03-17,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-18,Risk of Violence,8,High,2014-03-18,2014-03-17,2014-03-18,0,0,745,0,0 +10518,carlos butler,carlos,butler,2013-02-18,Male,1988-05-30,27,25 - 45,African-American,0,5,0,1,5,-1,2013-02-17 01:48:40,2013-02-23 08:59:58,13007034TC10A,2013-02-17,,1,M,Susp Drivers Lic 1st Offense,1,14020678TC10A,(M1),0,2014-06-03,Opert With Susp DL 2nd Offens,2014-06-03,2014-06-05,,0,,,,,Risk of Recidivism,5,Medium,2013-02-18,Risk of Violence,3,Low,2013-02-18,2014-06-03,2014-06-05,5,5,470,1,1 +10519,gartrell tolbert,gartrell,tolbert,2014-08-25,Male,1979-06-28,36,25 - 45,African-American,0,9,0,0,2,-1,2014-08-24 05:47:08,2014-10-09 09:10:14,14012720MM10A,2014-08-24,,1,M,Battery,1,14017397MM10A,(M1),0,2014-12-10,Battery,2014-12-10,2015-04-27,,1,14017397MM10A,(M1),2014-12-10,Battery,Risk of Recidivism,9,High,2014-08-25,Risk of Violence,8,High,2014-08-25,2014-12-10,2015-04-27,2,45,107,1,1 +10520,jennifer hyacinth,jennifer,hyacinth,2014-03-18,Female,1991-08-20,24,Less than 25,African-American,0,4,0,0,0,-1,2014-03-17 08:29:05,2014-03-18 07:50:54,14003764CF10A,2014-03-17,,1,F,Uttering a Forged Instrument,1,15002169MM10A,(M1),0,2015-02-22,Temporary Tag Violation,2015-02-22,2015-02-22,,1,15004034CF10A,(F3),2015-03-26,Aggravated Assault W/Dead Weap,Risk of Recidivism,4,Low,2014-03-18,Risk of Violence,3,Low,2014-03-18,2015-02-22,2015-02-22,0,0,341,0,1 +10522,judith guadagino,judith,guadagino,2014-01-27,Female,1949-02-12,67,Greater than 45,Caucasian,0,1,0,0,0,-3,2014-01-24 10:44:46,2014-01-25 04:52:46,14002829MU10A,2014-01-24,,3,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-24,2014-01-25,0,0,795,0,0 +10523,cleon grant,cleon,grant,2013-05-04,Male,1987-03-25,29,25 - 45,Other,0,2,0,0,4,-1,2013-05-03 05:09:54,2013-05-06 08:52:35,13006359CF10A,2013-05-03,,1,F,Throw Deadly Missile Into Veh,1,15001272CF10A,(M2),0,2015-01-27,Culpable Negligence,2015-01-27,2015-01-30,,1,15001272CF10A,(F2),2015-01-27,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2013-05-04,Risk of Violence,3,Low,2013-05-04,2015-01-27,2015-01-30,4,2,633,1,1 +10524,andrea jordan,andrea,jordan,2013-07-11,Female,1988-09-15,27,25 - 45,African-American,0,6,0,0,2,-40,2013-06-01 07:45:23,2013-06-10 10:44:15,13008532CF10A,2013-06-01,,40,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-11,Risk of Violence,4,Low,2013-07-11,2013-06-01,2013-06-10,2,0,995,0,0 +10525,jamar burton,jamar,burton,2013-05-17,Male,1976-12-15,39,25 - 45,African-American,0,4,0,0,3,-1,2013-05-16 07:50:50,2013-06-19 12:42:02,10001925CF10B,,2013-05-17,0,F,arrest case no charge,1,14013846MM10A,(M1),0,2014-09-17,Battery,2014-09-17,2014-10-29,,1,14013846MM10A,(M1),2014-09-17,Battery,Risk of Recidivism,4,Low,2013-05-17,Risk of Violence,3,Low,2013-05-17,2014-09-17,2014-10-29,3,33,488,1,1 +10526,michael holloway,michael,holloway,2013-03-15,Male,1974-01-08,42,25 - 45,Caucasian,0,6,0,0,5,84,2013-06-07 06:19:20,2013-06-08 05:43:44,12006199CF10A,,2013-03-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-15,Risk of Violence,2,Low,2013-03-15,2013-06-07,2013-06-08,5,0,84,0,0 +10528,flavio silva,flavio,silva,2013-06-04,Male,1974-08-02,41,25 - 45,Hispanic,0,1,0,0,1,-4,2013-05-31 11:16:29,2013-06-01 08:01:12,13010461MM10A,2013-05-31,,4,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-04,Risk of Violence,1,Low,2013-06-04,2013-05-31,2013-06-01,1,0,1032,0,0 +10530,cobie tai,cobie,tai,2013-08-03,Female,1990-05-12,25,25 - 45,African-American,0,3,0,0,1,-1,2013-08-02 02:03:01,2013-08-06 05:30:27,13010803CF10A,,2013-08-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-03,Risk of Violence,4,Low,2013-08-03,2013-08-02,2013-08-06,1,3,972,0,0 +10531,sean gibboney,sean,gibboney,2013-03-07,Male,1975-11-10,40,25 - 45,Caucasian,0,8,0,0,8,-28,2013-02-07 07:35:58,2013-02-14 03:13:26,13001915CF10A,2013-02-07,,28,F,Possession of Oxycodone,1,13027865TC10A,(M2),0,2013-07-14,Fail To Obey Police Officer,2013-07-14,2013-07-15,,0,,,,,Risk of Recidivism,8,High,2013-03-07,Risk of Violence,9,High,2013-03-07,2013-07-14,2013-07-15,8,0,129,1,1 +10532,johnny ross,johnny,ross,2014-02-19,Male,1979-01-24,37,25 - 45,African-American,0,4,0,0,4,-1,2014-02-18 02:47:15,2014-02-19 07:33:00,14002813MM10A,2014-02-18,,1,M,Battery,1,14012850MM10A,(M1),0,2014-08-27,Battery,2014-08-27,2014-10-16,,1,14012850MM10A,(M1),2014-08-27,Battery,Risk of Recidivism,4,Low,2014-02-19,Risk of Violence,4,Low,2014-02-19,2014-08-27,2014-10-16,4,0,189,1,1 +10533,walkina mcclary,walkina,mcclary,2013-03-31,Female,1974-02-16,42,25 - 45,African-American,0,8,0,0,8,0,2013-03-31 08:02:29,2013-04-01 10:07:00,13002636CF10A,,2013-03-31,0,F,arrest case no charge,1,13010963CF10A,(F3),0,2013-08-05,Possession of Cocaine,2013-08-05,2013-10-23,,0,,,,,Risk of Recidivism,8,High,2013-03-31,Risk of Violence,6,Medium,2013-03-31,2013-08-05,2013-10-23,8,1,127,1,1 +10535,danielle ervin,danielle,ervin,2014-03-05,Female,1988-05-16,27,25 - 45,African-American,0,6,0,0,12,-61,2014-01-03 07:42:11,2014-01-04 03:41:33,14000150MM10A,2014-01-03,,61,M,Petit Theft,1,15008317CF10A,(F3),0,2015-06-28,Driving While License Revoked,2015-06-28,2015-06-30,,0,,,,,Risk of Recidivism,6,Medium,2014-03-05,Risk of Violence,4,Low,2014-03-05,2015-06-28,2015-06-30,12,0,480,1,1 +10536,velon owens,velon,owens,2013-09-08,Male,1990-01-09,26,25 - 45,African-American,0,9,0,0,8,-1,2013-09-07 06:41:49,2013-09-08 06:43:13,13012676CF10A,2013-09-07,,1,F,"Poss3,4 Methylenedioxymethcath",1,14005801CF10A,(M1),0,2014-04-26,Present Proof of Invalid Insur,2014-04-26,2014-05-29,,0,,,,,Risk of Recidivism,9,High,2013-09-08,Risk of Violence,6,Medium,2013-09-08,2014-04-26,2014-05-29,8,0,230,1,1 +10538,michael williams,michael,williams,2013-01-26,Male,1993-01-15,23,Less than 25,African-American,0,6,0,0,1,0,2013-01-26 03:59:40,2013-07-23 05:22:24,13001867MM10A,2013-01-26,,0,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-26,Risk of Violence,6,Medium,2013-01-26,2013-01-26,2013-07-23,1,178,1161,0,0 +10539,jayson velazquez,jayson,velazquez,2013-01-04,Male,1983-11-27,32,25 - 45,Caucasian,0,5,0,0,8,31,2013-02-04 02:21:57,2013-02-05 03:52:27,12003937MM10A,2012-02-26,,313,M,Battery,1,13002552MM10A,(M1),0,2013-02-04,Resist/Obstruct W/O Violence,2013-02-04,2013-02-05,,0,,,,,Risk of Recidivism,5,Medium,2013-01-04,Risk of Violence,4,Low,2013-01-04,2013-02-04,2013-02-05,8,0,31,1,1 +10540,courtney knoche,courtney,knoche,2014-11-22,Female,1984-04-30,31,25 - 45,Caucasian,0,1,0,0,1,-1,2014-11-21 07:23:57,2014-11-22 12:08:42,14016653MM10A,2014-11-21,,1,M,Battery,1,15010813MM10A,(M1),1,2015-10-14,Battery,2015-10-15,2015-10-16,,1,15010813MM10A,(M1),2015-10-14,Battery,Risk of Recidivism,1,Low,2014-11-22,Risk of Violence,1,Low,2014-11-22,2015-10-15,2015-10-16,1,0,326,1,1 +10541,erik posada,erik,posada,2014-07-30,Male,1995-10-21,20,Less than 25,Caucasian,0,5,0,0,1,-70,2014-05-21 01:46:59,2014-05-23 11:04:06,14007072CF10A,2014-05-21,,70,F,Burglary Conveyance Unoccup,1,14016117CF10A,(M1),-1,2014-12-02,,2014-12-01,2014-12-05,,0,,,,,Risk of Recidivism,5,Medium,2014-07-30,Risk of Violence,6,Medium,2014-07-30,2014-12-01,2014-12-05,1,0,125,1,1 +10542,elias losada,elias,losada,2013-08-01,Male,1989-12-20,26,25 - 45,Caucasian,0,7,0,0,4,-1,2013-07-31 07:13:26,2013-08-02 08:05:00,13010698CF10A,2013-07-31,,1,F,"Deliver 3,4 Methylenediox",1,15048877TC30A,(M2),,2015-06-28,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-07-31,2013-08-02,4,1,696,1,1 +10543,michael black,michael,black,2014-12-09,Male,1964-06-23,51,Greater than 45,Caucasian,0,1,0,0,2,0,2014-12-09 03:37:49,2014-12-09 08:54:53,14017341MM10A,2014-12-09,,0,M,Viol Injunct Domestic Violence,1,14017550MM10A,(M1),0,2014-12-13,Viol Pretrial Release Dom Viol,2014-12-13,2014-12-14,,0,,,,,Risk of Recidivism,1,Low,2014-12-09,Risk of Violence,1,Low,2014-12-09,2014-12-13,2014-12-14,2,0,4,1,1 +10544,bruce gerson,bruce,gerson,2013-08-16,Male,1949-04-04,67,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-15 12:10:13,2013-08-16 09:07:07,13015495MM10A,2013-08-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-16,Risk of Violence,1,Low,2013-08-16,2013-08-15,2013-08-16,0,0,959,0,0 +10545,neil lynch,neil,lynch,2013-05-11,Male,1989-01-29,27,25 - 45,African-American,0,7,0,0,10,-1,2013-05-10 10:08:03,2013-05-11 09:53:27,13006741CF10A,2013-05-10,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-11,Risk of Violence,3,Low,2013-05-11,2013-05-10,2013-05-11,10,0,1056,0,0 +10546,nikole curiel,nikole,curiel,2013-09-08,Female,1989-12-13,26,25 - 45,Caucasian,0,6,0,0,1,-1,2013-09-07 04:24:40,2013-09-08 06:08:45,13017059MM10A,2013-09-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-08,Risk of Violence,5,Medium,2013-09-08,2013-09-07,2013-09-08,1,0,936,0,0 +10547,leon jackson,leon,jackson,2013-01-06,Male,1961-01-18,55,Greater than 45,African-American,0,5,0,0,3,-1,2013-01-05 10:12:31,2013-03-16 05:38:20,12012719CO10A,,2012-08-17,142,M,arrest case no charge,1,14002995MM40A,(M1),15,2014-07-04,Trespass Other Struct/Conve,2014-07-19,2014-07-21,,0,,,,,Risk of Recidivism,5,Medium,2013-01-06,Risk of Violence,3,Low,2013-01-06,2014-05-11,2014-05-27,3,69,490,0,1 +10548,patrick doerfor,patrick,doerfor,2014-02-27,Male,1965-03-17,51,Greater than 45,Caucasian,0,1,0,0,1,,,,14000988CF10A,2014-01-23,,35,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-27,Risk of Violence,1,Low,2014-02-27,,,1,0,764,0,0 +10549,okeel prince-newland,okeel,prince-newland,2013-03-25,Male,1984-07-25,31,25 - 45,Other,0,3,0,0,0,-1,2013-03-24 12:02:43,2013-05-31 02:10:00,13004254CF10A,2013-03-23,,2,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,3,Low,2013-03-25,2013-03-24,2013-05-31,0,67,1103,0,0 +10550,daniel motta,daniel,motta,2013-03-31,Male,1987-12-30,28,25 - 45,Caucasian,0,4,0,0,0,-1,2013-03-30 09:03:05,2013-03-31 07:04:47,13006142MM10A,2013-03-30,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-31,Risk of Violence,5,Medium,2013-03-31,2013-03-30,2013-03-31,0,0,1097,0,0 +10552,monica churchill,monica,churchill,2013-01-18,Female,1964-10-05,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-17 04:06:24,2013-01-17 08:06:48,13001196MM10A,2013-01-17,,1,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2014-02-07,2014-02-07,0,0,385,0,0 +10553,travis spencer,travis,spencer,2014-09-20,Male,1987-07-16,28,25 - 45,African-American,0,8,0,0,13,-1,2014-09-19 07:14:30,2014-09-21 03:09:00,14012703CF10A,,2014-09-19,1,F,arrest case no charge,1,15003138MM20A,(M2),,2015-12-09,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2014-09-20,Risk of Violence,3,Low,2014-09-20,2014-09-19,2014-09-21,13,1,445,1,1 +10554,richard henry,richard,henry,2013-02-15,Male,1994-02-09,22,Less than 25,African-American,0,7,0,0,0,-1,2013-02-14 11:00:19,2013-02-16 01:39:44,13002332CF10A,2013-02-14,,1,F,Exhibition Weapon School Prop,1,13002682CF10A,(F3),0,2013-02-21,Grand Theft in the 3rd Degree,2013-02-21,2013-05-01,,0,,,,,Risk of Recidivism,7,Medium,2013-02-15,Risk of Violence,6,Medium,2013-02-15,2013-02-21,2013-05-01,0,1,6,1,1 +10555,eugene previl,eugene,previl,2013-04-29,Male,1989-09-01,26,25 - 45,African-American,0,3,0,0,2,-1,2013-04-28 06:09:49,2013-04-30 09:02:00,13006109CF10A,2013-04-28,,1,F,Pos Cannabis W/Intent Sel/Del,1,13009482MM10A,(M1),0,2013-05-16,Trespass After Warning,2013-05-16,2013-05-17,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,4,Low,2013-04-29,2013-05-16,2013-05-17,2,1,17,1,1 +10556,britney edwards,britney,edwards,2014-03-13,Female,1988-05-13,27,25 - 45,African-American,0,3,1,0,1,-1,2014-03-12 06:56:34,2014-03-14 09:40:21,14003519CF10A,2014-03-12,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,2,Low,2014-03-13,2014-03-12,2014-03-14,1,1,750,0,0 +10557,carl toussaint,carl,toussaint,2013-01-18,Male,1983-09-07,32,25 - 45,African-American,0,4,0,0,5,-1,2013-01-17 09:42:38,2013-01-18 10:00:00,12012807MM10A,,2013-01-17,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-18,Risk of Violence,4,Low,2013-01-18,2013-03-15,2013-04-01,5,0,56,0,0 +10558,reggie williams,reggie,williams,2013-04-01,Male,1979-10-26,36,25 - 45,African-American,0,6,0,0,11,-1,2013-03-31 08:52:32,2013-05-06 08:53:32,13004608CF10A,2013-03-31,,1,F,Possession of Cocaine,1,14005767CF10A,(F3),0,2014-04-25,Tampering With Physical Evidence,2014-04-25,2014-07-22,,0,,,,,Risk of Recidivism,6,Medium,2013-04-01,Risk of Violence,4,Low,2013-04-01,2014-04-25,2014-07-22,11,35,389,1,1 +10559,sandy harrell,sandy,harrell,2013-11-20,Male,1989-04-08,27,25 - 45,African-American,0,6,0,0,4,-1,2013-11-19 12:22:07,2013-11-21 04:24:00,13021769MM10A,2013-11-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-20,Risk of Violence,6,Medium,2013-11-20,2013-11-19,2013-11-21,4,1,863,0,0 +10560,david kelley,david,kelley,2014-05-08,Male,1974-08-21,41,25 - 45,Caucasian,0,1,0,0,1,-1,2014-05-07 08:18:13,2014-05-08 09:01:25,14006390CF10A,2014-05-07,,1,F,Aggrav Battery w/Deadly Weapon,1,15008291CF10A,(F3),1,2015-06-26,Tampering With Physical Evidence,2015-06-27,2015-06-28,,1,15008291CF10A,(F2),2015-06-26,Agg Fleeing/Eluding High Speed,Risk of Recidivism,1,Low,2014-05-08,Risk of Violence,1,Low,2014-05-08,2015-06-27,2015-06-28,1,0,414,1,1 +10561,rodney toussaint,rodney,toussaint,2013-10-21,Male,1991-09-25,24,Less than 25,African-American,0,10,3,0,12,-1,2013-10-20 06:12:56,2013-11-06 09:00:54,13019829MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-21,Risk of Violence,9,High,2013-10-21,2013-10-20,2013-11-06,12,16,893,0,0 +10563,michael fleming,michael,fleming,2013-02-28,Male,1954-07-12,61,Greater than 45,African-American,0,3,0,0,11,-1,2013-02-27 05:28:41,2013-02-28 08:19:46,13002995CF10A,2013-02-27,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-28,Risk of Violence,3,Low,2013-02-28,2013-02-27,2013-02-28,11,0,1128,0,0 +10567,jessica scirghio,jessica,scirghio,2013-11-04,Female,1986-11-07,29,25 - 45,Caucasian,0,3,0,0,3,0,2013-11-04 02:30:36,2013-11-04 08:20:56,13013922CF10A,,2013-11-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-04,Risk of Violence,2,Low,2013-11-04,2014-04-28,2014-04-29,3,0,175,0,0 +10568,neil hidalgo,neil,hidalgo,2014-01-24,Male,1981-07-09,34,25 - 45,Caucasian,0,4,0,0,11,-1,2014-01-23 01:51:15,2014-01-24 11:07:09,14000977CF10A,2014-01-23,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-24,Risk of Violence,3,Low,2014-01-24,2014-01-23,2014-01-24,11,0,798,0,0 +10570,michael assarian,michael,assarian,2013-07-22,Male,1970-11-22,45,Greater than 45,Caucasian,0,3,0,0,0,-5,2013-07-17 08:06:47,2013-07-18 09:00:52,13010028CF10A,2013-07-17,,5,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-22,Risk of Violence,1,Low,2013-07-22,2013-07-17,2013-07-18,0,0,984,0,0 +10571,robert brack,robert,brack,2013-02-20,Male,1994-06-04,21,Less than 25,Caucasian,0,10,2,1,3,-1,2013-02-19 03:15:34,2013-02-20 07:04:27,13002513CF10A,2013-02-19,,1,F,Poss Contr Subst W/o Prescript,1,13006973CF10A,(M1),786,2013-05-14,Possess Drug Paraphernalia,2015-07-09,2015-08-24,,0,,,,,Risk of Recidivism,10,High,2013-02-20,Risk of Violence,6,Medium,2013-02-20,2013-02-28,2013-03-01,3,0,8,0,1 +10572,timothy barnes,timothy,barnes,2013-09-14,Male,1987-06-29,28,25 - 45,African-American,0,8,0,0,20,0,2013-09-14 04:18:13,2013-09-14 12:54:47,13012995CF10A,2013-09-14,,0,F,Driving While License Revoked,1,14079313TC30A,(M2),,2014-09-17,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,8,High,2013-09-14,Risk of Violence,3,Low,2013-09-14,2014-01-17,2014-03-30,20,0,125,0,1 +10573,clayton mitchell,clayton,mitchell,2014-01-02,Male,1992-10-11,23,Less than 25,African-American,2,6,0,0,3,,,,12016646CF10A,2012-11-13,,415,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-02,Risk of Violence,9,High,2014-01-02,,,3,0,820,0,0 +10575,jason hedges,jason,hedges,2013-10-04,Male,1985-01-08,31,25 - 45,Caucasian,0,4,0,0,6,-1,2013-10-03 02:21:05,2013-10-06 04:02:00,13013809CF10A,,2013-10-03,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-04,Risk of Violence,3,Low,2013-10-04,2013-10-03,2013-10-06,6,2,910,0,0 +10577,lance bonsignore,lance,bonsignore,2014-06-13,Male,1956-11-04,59,Greater than 45,Caucasian,0,2,0,0,0,-1,2014-06-12 12:34:37,2014-06-13 10:47:47,14009339MM10A,2014-06-11,,2,M,Viol Injunct Domestic Violence,1,16005668TC40A,(M2),,2016-01-15,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-06-13,Risk of Violence,2,Low,2014-06-13,2014-06-12,2014-06-13,0,0,581,1,1 +10579,todd carter,todd,carter,2013-11-11,Male,1975-09-15,40,25 - 45,African-American,0,4,0,0,8,-1,2013-11-10 12:35:07,2013-11-11 07:50:50,13021206MM10A,2013-11-10,,1,M,Battery,1,14000750MM20A,(M2),,2014-02-21,Expired Tag/ Reg>6 Months 2nd,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-11,Risk of Violence,5,Medium,2013-11-11,2014-07-15,2014-07-18,8,0,102,1,1 +10580,kayla vantreese,kayla,vantreese,2013-08-12,Female,1994-01-27,22,Less than 25,Caucasian,0,8,0,1,1,-1,2013-08-11 11:56:08,2013-08-29 09:24:17,13015158MM10A,2013-08-11,,1,M,Viol Pretrial Release Dom Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-12,Risk of Violence,7,Medium,2013-08-12,2013-08-11,2013-08-29,1,17,963,0,0 +10581,john gabriel,john,gabriel,2013-03-30,Male,1994-12-09,21,Less than 25,African-American,0,4,1,0,1,-1,2013-03-29 03:55:07,2013-03-30 08:07:03,13004555CF10A,2013-03-29,,1,M,Burglary Unoccupied Dwelling,1,13041941TC10A,(M2),91,2013-06-17,Leave Acc/Attend Veh/More $50,2013-09-16,2013-09-16,,0,,,,,Risk of Recidivism,4,Low,2013-03-30,Risk of Violence,7,Medium,2013-03-30,2015-11-22,2015-11-22,1,0,79,1,1 +10582,ralante archibald,ralante,archibald,2013-12-12,Male,1991-08-27,24,Less than 25,African-American,1,6,0,1,1,-230,2013-04-26 12:57:02,2013-11-23 02:27:54,09017907CF10A,,2013-04-26,230,F,arrest case no charge,1,14011383CF10A,(M2),0,2014-08-20,Trespass Struct/Conveyance,2014-08-20,2015-10-15,,0,,,,,Risk of Recidivism,6,Medium,2013-12-12,Risk of Violence,7,Medium,2013-12-12,2014-08-20,2015-10-15,1,0,251,1,1 +10584,christopher cordell,christopher,cordell,2014-03-04,Male,1990-04-22,25,25 - 45,Caucasian,0,5,0,0,2,-25,2014-02-07 04:15:56,2014-02-08 09:37:50,14001752CF10A,2014-02-07,,25,F,Possession of Cocaine,1,15010272CF10A,(F3),0,2015-08-10,False Ownership Info/Pawn Item,2015-08-10,2015-12-01,,0,,,,,Risk of Recidivism,5,Medium,2014-03-04,Risk of Violence,5,Medium,2014-03-04,2014-06-24,2014-06-29,2,0,112,0,1 +10585,latavyia tucker,latavyia,tucker,2013-10-02,Female,1990-11-23,25,25 - 45,African-American,0,5,0,0,1,-1,2013-10-01 08:54:04,2013-10-02 09:14:11,13013783CF10A,2013-10-01,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-02,Risk of Violence,6,Medium,2013-10-02,2013-10-01,2013-10-02,1,0,912,0,0 +10586,brik warren,brik,warren,2013-01-16,Male,1968-09-03,47,Greater than 45,African-American,0,5,0,0,3,0,2013-01-16 02:54:32,2013-01-23 10:34:31,13001097MM10A,2013-01-15,,1,M,Expired DL More Than 6 Months,1,13022709TC20A,(M2),,2013-04-09,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-16,Risk of Violence,6,Medium,2013-01-16,2013-01-16,2013-01-23,3,7,83,1,1 +10588,sergio santibanez-cruz,sergio,santibanez-cruz,2013-03-13,Male,1990-09-08,25,25 - 45,Hispanic,0,3,0,0,1,-43,2013-01-29 09:34:56,2013-02-01 12:17:31,13001439CF10A,2013-01-29,,43,F,Purchase Of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-13,Risk of Violence,3,Low,2013-03-13,2013-01-29,2013-02-01,1,0,1115,0,0 +10589,malcolm robinson,malcolm,robinson,2014-08-06,Male,1994-09-25,21,Less than 25,African-American,0,5,0,0,5,-1,2014-08-05 01:15:29,2014-08-06 01:58:07,14011836MM10A,2014-08-05,,1,M,Battery,1,16004922TC10A,(M2),0,2016-02-27,Susp Drivers Lic 1st Offense,2016-02-27,2016-02-27,,0,,,,,Risk of Recidivism,5,Medium,2014-08-06,Risk of Violence,6,Medium,2014-08-06,2016-02-27,2016-02-27,5,0,570,0,1 +10590,seth jackson,seth,jackson,2013-12-19,Male,1987-01-19,29,25 - 45,African-American,0,5,0,0,1,-1,2013-12-18 02:09:10,2013-12-21 04:37:06,12010013CF10A,,2013-12-18,1,F,arrest case no charge,1,14007386MM10A,(M1),0,2014-05-04,Battery,2014-05-04,2014-05-05,,1,14007386MM10A,(M1),2014-05-04,Battery,Risk of Recidivism,5,Medium,2013-12-19,Risk of Violence,4,Low,2013-12-19,2014-05-04,2014-05-05,1,2,136,1,1 +10591,john dunn,john,dunn,2014-02-18,Male,1975-06-24,40,25 - 45,Caucasian,0,5,0,0,4,-1,2014-02-17 06:02:18,2014-02-18 01:20:42,14002251CF10A,2014-02-17,,1,F,Grand Theft in the 3rd Degree,1,15018227TC20A,(M2),,2015-03-04,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-18,Risk of Violence,4,Low,2014-02-18,2014-11-14,2014-11-18,4,0,269,0,1 +10594,yanielys garcia-fernandez,yanielys,garcia-fernandez,2013-03-25,Female,1983-08-01,32,25 - 45,Hispanic,0,2,0,0,1,-3,2013-03-22 08:37:29,2013-03-23 07:50:59,13001523CF10A,,2013-03-22,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-22,2013-03-23,1,0,1103,0,0 +10595,massiel espinosa,massiel,espinosa,2013-08-25,Male,1977-03-27,39,25 - 45,Caucasian,0,1,0,0,0,-1,2013-08-24 11:36:32,2013-08-25 08:34:53,13016206MM10A,2013-08-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-25,Risk of Violence,1,Low,2013-08-25,2013-08-24,2013-08-25,0,0,950,0,0 +10596,omar baptiste,omar,baptiste,2013-10-16,Male,1993-06-17,22,Less than 25,Other,0,3,0,1,3,-1,2013-10-15 02:41:31,2013-10-17 04:50:35,13014443CF10A,,2013-10-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-16,Risk of Violence,5,Medium,2013-10-16,2014-11-26,2014-12-11,3,1,406,0,0 +10599,takeyma doe,takeyma,doe,2014-01-05,Female,1985-09-11,30,25 - 45,African-American,0,5,0,0,0,-1,2014-01-04 01:36:19,2014-01-05 01:34:12,14000166MM10A,2014-01-04,,1,M,Battery,1,15001302MM30A,(M1),,2015-08-07,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-05,Risk of Violence,2,Low,2014-01-05,2014-01-04,2014-01-05,0,0,579,1,1 +10604,fenamarie brooks,fenamarie,brooks,2014-01-17,Female,1993-12-01,22,Less than 25,Caucasian,0,6,0,0,2,-31,2013-12-17 12:53:16,2013-12-18 02:19:25,13017222CF10A,,2013-12-17,31,F,arrest case no charge,1,14012053MM10A,(M1),1,2014-08-08,Battery,2014-08-09,2014-08-10,,1,14012053MM10A,(M1),2014-08-08,Battery,Risk of Recidivism,6,Medium,2014-01-17,Risk of Violence,7,Medium,2014-01-17,2014-04-07,2014-04-08,2,0,80,0,1 +10606,jesse hartsell,jesse,hartsell,2014-04-01,Male,1990-06-05,25,25 - 45,Caucasian,0,9,0,0,0,-1,2014-03-31 11:29:30,2014-04-01 01:23:09,14005523MM10A,2014-03-31,,1,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-04-01,Risk of Violence,6,Medium,2014-04-01,2014-03-31,2014-04-01,0,0,731,0,0 +10607,samantha zachary,samantha,zachary,2013-12-27,Female,1994-11-07,21,Less than 25,Caucasian,0,5,0,0,0,-1,2013-12-26 11:42:36,2013-12-28 12:15:37,13023819MM10A,2013-12-26,,1,M,Battery,1,14000645MM10A,(M1),0,2014-01-13,Viol Injunction Protect Dom Vi,2014-01-13,2014-01-14,,0,,,,,Risk of Recidivism,5,Medium,2013-12-27,Risk of Violence,6,Medium,2013-12-27,2014-01-13,2014-01-14,0,1,17,1,1 +10608,alexsis perkins,alexsis,perkins,2013-12-28,Male,1990-12-17,25,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-27 01:07:03,2014-01-17 09:38:34,13023880MM10A,2013-12-27,,1,M,Battery,1,14015442CF10A,(M1),0,2014-11-16,Petit Theft $100- $300,2014-11-16,2014-11-17,,0,,,,,Risk of Recidivism,2,Low,2013-12-28,Risk of Violence,4,Low,2013-12-28,2014-11-16,2014-11-17,0,20,323,1,1 +10611,edward eggers,edward,eggers,2013-10-24,Male,1961-05-01,54,Greater than 45,Caucasian,0,3,0,0,1,102,2014-02-03 02:33:34,2014-05-14 10:23:00,13014792CF10A,2013-10-23,,1,F,,1,14001863MM10A,(M1),1,2014-02-02,Trespass Other Struct/Conve,2014-02-03,2014-05-14,,0,,,,,Risk of Recidivism,3,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,2014-06-11,2014-07-18,1,0,101,1,1 +10614,demetrius boyd,demetrius,boyd,2013-02-17,Male,1988-07-24,27,25 - 45,African-American,0,10,0,0,5,0,2013-02-17 04:30:16,2013-03-26 05:28:29,13003404MM10A,2013-02-16,,1,M,Possess Cannabis/20 Grams Or Less,1,14014062TC30A,(M2),56,2014-02-05,Unlaw LicTag/Sticker Attach,2014-04-02,2014-05-27,,0,,,,,Risk of Recidivism,10,High,2013-02-17,Risk of Violence,9,High,2013-02-17,2013-02-17,2013-03-26,5,37,353,1,1 +10617,bruce burdin,bruce,burdin,2013-01-06,Male,1970-10-18,45,Greater than 45,Caucasian,0,1,0,0,4,-1,2013-01-05 02:05:58,2013-01-09 09:59:27,12072600TC30A,,2013-01-04,2,M,arrest case no charge,1,14026277TC10A,(M2),0,2014-07-04,Operating W/O Valid License,2014-07-04,2014-07-05,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2014-07-04,2014-07-05,4,3,544,1,1 +10618,christopher harris,christopher,harris,2014-02-22,Male,1984-04-15,32,25 - 45,African-American,0,3,0,0,4,-1,2014-02-21 06:52:59,2014-02-22 08:05:31,14003672MM10A,,2014-02-22,0,F,arrest case no charge,1,14011300MM10A,(M1),0,2014-07-24,Resist/Obstruct W/O Violence,2014-07-24,2014-07-24,,0,,,,,Risk of Recidivism,3,Low,2014-02-22,Risk of Violence,4,Low,2014-02-22,2014-07-24,2014-07-24,4,0,152,0,1 +10619,royal jackson,royal,jackson,2014-06-07,Male,1994-02-05,22,Less than 25,African-American,0,10,0,0,0,-1,2014-06-06 05:49:14,2014-06-07 07:49:48,14009024MM10A,2014-06-06,,1,M,Battery,1,14010732MM10A,(M1),0,2014-07-13,Possess Cannabis/20 Grams Or Less,2014-07-13,2014-08-09,,1,14010732MM10A,(M1),2014-07-13,Battery,Risk of Recidivism,10,High,2014-06-07,Risk of Violence,6,Medium,2014-06-07,2014-07-13,2014-08-09,0,0,36,1,1 +10621,berloudi simon,berloudi,simon,2014-09-17,Male,1992-11-19,23,Less than 25,Other,0,8,0,0,6,-1,2014-09-16 03:31:41,2014-12-09 04:32:02,14012547CF10A,2014-09-16,,1,F,Poss Pyrrolidinovalerophenone,1,15011959CF10A,(F3),,2015-09-15,Possession of Oxycodone,,,,0,,,,,Risk of Recidivism,8,High,2014-09-17,Risk of Violence,5,Medium,2014-09-17,2015-04-13,2015-04-16,6,83,208,0,1 +10622,miss howard,miss,howard,2014-02-28,Female,1972-02-08,44,25 - 45,African-American,0,6,0,0,6,-1,2014-02-27 02:14:46,2014-03-01 05:31:19,14002810CF10A,2014-02-27,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-28,Risk of Violence,3,Low,2014-02-28,2014-02-27,2014-03-01,6,1,763,0,0 +10623,dwight francis,dwight,francis,2013-04-20,Male,1956-07-07,59,Greater than 45,Other,0,3,0,0,20,-1,2013-04-19 07:20:47,2013-11-04 03:54:34,13005639CF10A,2013-04-19,,1,F,Felony Petit Theft,1,14000199MM20A,(M1),,2013-12-21,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-20,Risk of Violence,1,Low,2013-04-20,2013-04-19,2013-11-04,20,198,245,1,1 +10624,marion davis,marion,davis,2013-02-07,Male,1988-02-26,28,25 - 45,African-American,0,3,0,0,0,,,,,,,,M,,1,13073100TC30A,(M2),,2013-07-30,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-07,Risk of Violence,3,Low,2013-02-07,2013-02-07,2013-02-07,0,0,173,1,1 +10625,mikel ervin,mikel,ervin,2013-04-06,Male,1992-12-14,23,Less than 25,African-American,0,4,0,0,0,-1,2013-04-05 06:15:45,2013-04-06 10:23:30,13004913CF10A,2013-04-05,,1,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-06,Risk of Violence,6,Medium,2013-04-06,2013-04-05,2013-04-06,0,0,1091,0,0 +10626,miguel pena,miguel,pena,2014-03-16,Male,1969-07-23,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-15 04:41:43,2014-03-16 01:23:46,14003668CF10A,2014-03-15,,1,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0 +10627,christopher mayer,christopher,mayer,2014-01-31,Male,1983-04-01,33,25 - 45,Caucasian,0,4,0,0,2,-14,2014-01-17 04:21:17,2014-01-31 10:00:28,14000748CF10A,2014-01-17,,14,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-31,Risk of Violence,2,Low,2014-01-31,2014-01-17,2014-01-31,2,0,791,0,0 +10628,branden williams,branden,williams,2013-08-12,Male,1985-08-02,30,25 - 45,Other,0,2,0,0,1,-1,2013-08-11 04:36:54,2013-08-12 01:50:10,13015156MM10A,2013-08-11,,1,M,Battery,1,13017586CF10A,(F3),0,2013-12-20,Grand Theft in the 3rd Degree,2013-12-20,2013-12-21,,0,,,,,Risk of Recidivism,2,Low,2013-08-12,Risk of Violence,2,Low,2013-08-12,2013-12-20,2013-12-21,1,0,130,1,1 +10629,renee lamarche,renee,lamarche,2013-03-19,Female,1976-02-22,40,25 - 45,Caucasian,0,1,0,0,3,-1,2013-03-18 09:29:31,2013-03-19 01:52:29,13003929CF10A,2013-03-18,,1,F,Possession of Cocaine,1,13006106CF10A,(F3),1,2013-04-28,Possession of Cocaine,2013-04-29,2013-06-03,,1,14011095MM10A,(M1),2014-07-20,Battery,Risk of Recidivism,1,Low,2013-03-19,Risk of Violence,1,Low,2013-03-19,2014-07-20,2014-07-21,3,0,40,1,1 +10631,steven kitt,steven,kitt,2013-10-06,Male,1961-07-04,54,Greater than 45,Caucasian,0,3,0,0,7,0,2013-10-06 03:20:08,2013-10-06 07:36:47,13014016CF10A,2013-10-06,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-06,Risk of Violence,1,Low,2013-10-06,2013-10-06,2013-10-06,7,0,908,0,0 +10636,nicholas caffarilla,nicholas,caffarilla,2013-03-24,Male,1994-12-06,21,Less than 25,Caucasian,0,7,0,0,0,-1,2013-03-23 10:29:29,2013-03-24 10:53:35,13005731MM10A,2013-03-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-24,Risk of Violence,7,Medium,2013-03-24,2013-03-23,2013-03-24,0,0,1104,0,0 +10637,daniel finnegan,daniel,finnegan,2014-10-09,Male,1972-05-25,43,25 - 45,Caucasian,0,2,0,0,6,-1,2014-10-08 11:28:22,2014-10-09 02:37:24,14014765MM10A,2014-10-08,,1,M,Assault,1,15011585MM10A,(M1),,2015-09-09,Battery,,,,1,15011585MM10A,(M1),2015-09-09,Battery,Risk of Recidivism,2,Low,2014-10-09,Risk of Violence,4,Low,2014-10-09,2014-10-08,2014-10-09,6,0,335,1,1 +10641,markevis harvard,markevis,harvard,2014-11-12,Male,1993-11-29,22,Less than 25,African-American,0,5,0,0,3,-41,2014-10-02 12:14:45,2014-10-03 04:25:24,14013297CF10A,2014-10-02,,41,F,Uttering a Forged Instrument,1,14102738TC30A,(M2),,2014-12-11,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2014-11-12,Risk of Violence,5,Medium,2014-11-12,2015-07-23,2015-07-27,3,0,29,1,1 +10643,jorge aziles,jorge,aziles,2013-05-10,Male,1993-10-01,22,Less than 25,African-American,0,10,0,0,0,-1,2013-05-09 06:01:25,2013-05-13 03:50:36,13008989MM10A,2013-05-09,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-05-10,Risk of Violence,10,High,2013-05-10,2013-05-09,2013-05-13,0,3,1057,0,0 +10645,brent curry,brent,curry,2013-04-10,Male,1984-10-01,31,25 - 45,African-American,0,7,0,0,0,0,2013-04-10 01:53:18,2013-04-10 01:49:18,13005110CF10A,2013-04-10,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-10,Risk of Violence,3,Low,2013-04-10,2014-06-09,2014-06-23,0,0,425,0,0 +10646,joshua bass,joshua,bass,2013-04-09,Male,1983-11-16,32,25 - 45,African-American,0,8,0,0,6,-1,2013-04-08 05:46:16,2013-08-16 09:02:11,13005036CF10A,2013-04-08,,1,F,Possession of Cocaine,1,14006277CF10A,(F2),1,2014-05-04,Purchase Of Cocaine,2014-05-05,2014-12-24,,0,,,,,Risk of Recidivism,8,High,2013-04-09,Risk of Violence,6,Medium,2013-04-09,2014-04-18,2014-04-18,6,129,374,0,1 +10647,gay diamond,gay,diamond,2013-03-12,Female,1965-12-27,50,Greater than 45,Caucasian,0,5,0,0,3,55,2013-05-06 04:40:11,2013-07-02 06:21:16,12014536CF10A,,2012-12-29,73,F,arrest case no charge,1,16001128MO10A,(MO3),0,2016-02-03,,2016-02-03,2016-02-26,,0,,,,,Risk of Recidivism,5,Medium,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-05-06,2013-07-02,3,0,55,0,0 +10648,naiboby castro,naiboby,castro,2014-10-06,Male,1988-09-19,27,25 - 45,Hispanic,0,2,0,0,4,-1,2014-10-05 02:11:54,2014-10-08 05:53:44,14013424CF10A,2014-10-05,,1,F,False Imprisonment,1,15016451CF10A,(F2),,2015-12-25,Agg Battery Grt/Bod/Harm,,,,1,15016451CF10A,(F2),2015-12-25,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2014-10-06,Risk of Violence,2,Low,2014-10-06,2014-10-05,2014-10-08,4,2,445,1,1 +10649,marcus massicot,marcus,massicot,2014-03-03,Male,1995-01-06,21,Less than 25,African-American,0,5,0,0,1,-1,2014-03-02 01:50:25,2014-03-03 08:36:38,14003559MM10A,2014-03-01,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-03,Risk of Violence,7,Medium,2014-03-03,2014-03-02,2014-03-03,1,0,760,0,0 +10651,eric newman,eric,newman,2013-08-03,Male,1992-06-02,23,Less than 25,Caucasian,0,6,0,0,0,0,2013-08-03 08:51:49,2013-08-04 08:17:42,13014778MM10A,2013-08-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-03,Risk of Violence,7,Medium,2013-08-03,2013-08-03,2013-08-04,0,1,972,0,0 +10652,damian fletcher,damian,fletcher,2013-11-27,Male,1982-10-23,33,25 - 45,African-American,0,6,0,0,3,-1,2013-11-26 09:32:11,2014-03-21 08:51:31,13016496CF10A,2013-11-26,,1,M,Resist Officer w/Violence,1,14044367TC40A,(M2),39,2014-06-19,Posses/Disply Susp/Revk/Frd DL,2014-07-28,2014-07-29,,0,,,,,Risk of Recidivism,6,Medium,2013-11-27,Risk of Violence,4,Low,2013-11-27,2013-11-26,2014-03-21,3,114,204,1,1 +10653,mervin cohen,mervin,cohen,2013-10-07,Male,1951-05-24,64,Greater than 45,African-American,0,2,0,0,0,-1,2013-10-06 02:16:09,2013-10-07 07:49:01,13018992MM10A,2013-10-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-10-06,2013-10-07,0,0,907,0,0 +10655,daniella octelus,daniella,octelus,2013-02-20,Female,1974-01-01,42,25 - 45,Other,0,1,0,0,0,-1,2013-02-19 06:19:48,2013-11-27 06:50:00,13002529CF10A,2013-02-19,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-19,2013-11-27,0,280,1136,0,0 +10656,tyrone mais,tyrone,mais,2013-11-09,Male,1995-07-21,20,Less than 25,African-American,0,4,0,1,0,-1,2013-11-08 04:19:33,2013-11-09 02:11:07,13015586CF10A,2013-11-08,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-09,Risk of Violence,7,Medium,2013-11-09,2013-11-08,2013-11-09,0,0,874,0,0 +10657,tomas rivas,tomas,rivas,2013-04-18,Male,1989-09-27,26,25 - 45,Caucasian,0,2,0,0,1,-1,2013-04-17 01:39:09,2013-04-18 07:32:53,13007445MM10A,2013-04-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-18,Risk of Violence,3,Low,2013-04-18,2013-04-17,2013-04-18,1,0,1079,0,0 +10659,kenneth manning,kenneth,manning,2013-03-16,Male,1986-01-03,30,25 - 45,African-American,0,10,1,1,18,-1,2013-03-15 10:23:36,2013-05-16 06:27:15,13003825CF10A,2013-03-15,,1,F,Burglary Conveyance Unoccup,1,16001918CF10A,(F1),0,2016-02-14,,2016-02-14,2016-03-18,,0,,,,,Risk of Recidivism,10,High,2013-03-16,Risk of Violence,8,High,2013-03-16,2014-10-14,2014-11-25,18,554,577,0,1 +10660,willie pichardo,willie,pichardo,2014-03-04,Male,1992-12-14,23,Less than 25,Hispanic,0,2,0,0,0,-1,2014-03-03 03:40:05,2014-03-04 09:05:25,14003634MM10A,2014-03-03,,1,M,Battery,1,14008472MM10A,(M1),0,2014-05-27,Battery,2014-05-27,2014-05-28,,1,14008472MM10A,(M1),2014-05-27,Battery,Risk of Recidivism,2,Low,2014-03-04,Risk of Violence,4,Low,2014-03-04,2014-05-27,2014-05-28,0,0,84,1,1 +10664,keith richmond,keith,richmond,2013-05-10,Male,1993-01-20,23,Less than 25,African-American,0,10,0,1,10,-1,2013-05-09 11:50:35,2013-05-13 12:40:01,13006675CF10A,,2013-05-09,1,F,arrest case no charge,1,14015883CF10A,(F2),0,2014-10-30,Escape,2014-10-30,2014-12-23,,0,,,,,Risk of Recidivism,10,High,2013-05-10,Risk of Violence,9,High,2013-05-10,2013-07-08,2013-07-19,10,3,59,0,1 +10665,daniel mcbride,daniel,mcbride,2013-01-28,Male,1956-01-05,60,Greater than 45,African-American,0,6,0,0,13,-1,2013-01-27 02:10:29,2013-01-29 04:24:39,13001331CF10A,2013-01-27,,1,F,Felony Petit Theft,1,14000955CF10A,(F3),,2013-12-08,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-28,Risk of Violence,3,Low,2013-01-28,2013-01-27,2013-01-29,13,1,314,1,1 +10666,jesse yisael,jesse,yisael,2013-04-09,Male,1969-10-26,46,Greater than 45,African-American,0,7,0,0,2,0,2013-04-09 12:01:42,2013-06-13 03:13:38,08018178CF10A,,2009-10-26,1261,F,arrest case no charge,1,14000606CF10A,(F2),1,2014-01-14,Deliver Cocaine,2014-01-15,2014-04-01,,0,,,,,Risk of Recidivism,7,Medium,2013-04-09,Risk of Violence,2,Low,2013-04-09,2013-04-09,2013-06-13,2,65,280,1,1 +10667,michelle st. surin,michelle,st. surin,2013-05-21,Female,1987-02-27,29,25 - 45,African-American,0,4,0,0,0,,,,13007183CF10A,2013-05-20,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-21,Risk of Violence,3,Low,2013-05-21,,,0,0,1046,0,0 +10669,ricky arneson,ricky,arneson,2013-11-19,Male,1960-01-24,56,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-19 12:43:12,2013-11-19 02:03:24,13021684MM10A,2013-11-18,,1,M,Driving Under The Influence,1,14017047CF10A,(M1),0,2014-12-26,Resist/Obstruct W/O Violence,2014-12-26,2015-01-23,,0,,,,,Risk of Recidivism,1,Low,2013-11-19,Risk of Violence,1,Low,2013-11-19,2014-12-26,2015-01-23,0,0,402,1,1 +10670,twana williams,twana,williams,2013-11-07,Female,1971-03-11,45,Greater than 45,African-American,0,1,0,0,0,-1,2013-11-06 07:53:26,2013-11-07 02:17:37,13015475CF10A,2013-11-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-07,Risk of Violence,1,Low,2013-11-07,2013-11-06,2013-11-07,0,0,876,0,0 +10671,ceddrick mcgirt,ceddrick,mcgirt,2014-01-22,Male,1990-01-02,26,25 - 45,African-American,0,3,0,0,4,0,2014-01-22 03:26:10,2014-01-22 12:55:09,14000925CF10A,2014-01-22,,0,F,Fleeing Or Attmp Eluding A Leo,1,15004355TC10A,(M2),0,2015-02-12,Susp Drivers Lic 1st Offense,2015-02-12,2015-06-17,,0,,,,,Risk of Recidivism,3,Low,2014-01-22,Risk of Violence,2,Low,2014-01-22,2014-06-24,2014-07-11,4,0,153,0,1 +10672,mary nelson,mary,nelson,2014-02-03,Female,1968-05-28,47,Greater than 45,African-American,0,6,0,0,4,-1,2014-02-02 11:14:36,2014-02-03 09:43:18,14001799MM10A,2014-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-03,Risk of Violence,6,Medium,2014-02-03,2014-02-02,2014-02-03,4,0,788,0,0 +10673,keyanna stephens,keyanna,stephens,2013-02-16,Female,1986-09-27,29,25 - 45,African-American,0,7,1,0,7,0,2013-02-16 06:33:38,2013-02-18 03:07:51,13002411CF10A,2013-02-16,,0,F,Aggravated Assault W/dead Weap,1,14013253CF10A,(F3),1,2014-09-12,Neglect Child / No Bodily Harm,2014-09-13,2015-09-17,,0,,,,,Risk of Recidivism,7,Medium,2013-02-16,Risk of Violence,4,Low,2013-02-16,2013-02-27,2013-03-01,7,2,11,0,1 +10674,uriel young,uriel,young,2013-02-22,Male,1984-04-07,32,25 - 45,African-American,2,10,1,0,9,-1,2013-02-21 07:02:45,2013-04-18 09:12:27,13002666CF10A,2013-02-21,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-22,Risk of Violence,6,Medium,2013-02-22,2016-03-08,2016-04-18,9,55,1110,0,0 +10675,michael bentivegna,michael,bentivegna,2014-12-09,Male,1989-03-04,27,25 - 45,Caucasian,0,3,0,0,2,-50,2014-10-20 08:45:47,2014-10-20 07:50:57,14014140CF10A,2014-10-20,,50,F,Felony Batt(Great Bodily Harm),1,16000966MM10A,(M2),0,2016-01-28,Lve/Scen/Acc/Veh/Prop/Damage,2016-01-28,2016-01-31,,1,16000966MM10A,(M1),2016-01-28,Battery,Risk of Recidivism,3,Low,2014-12-09,Risk of Violence,3,Low,2014-12-09,2016-01-28,2016-01-31,2,0,415,1,1 +10676,dalphley dieujuste,dalphley,dieujuste,2013-08-27,Male,1992-08-07,23,Less than 25,Other,0,4,0,0,0,-1,2013-08-26 09:14:14,2013-08-27 06:17:54,13012024CF10A,2013-08-26,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,4,Low,2013-08-27,2013-08-26,2013-08-27,0,0,948,0,0 +10677,jermaine williams,jermaine,williams,2013-12-03,Male,1987-02-06,29,25 - 45,African-American,0,9,0,0,10,-1,2013-12-02 04:15:04,2013-12-31 08:46:31,13016681CF10A,2013-12-02,,1,F,Felony Battery (Dom Strang),1,14020961TC20A,(M1),143,2014-03-01,Susp Drivers Lic 1st Offense,2014-07-22,2014-07-25,,0,,,,,Risk of Recidivism,9,High,2013-12-03,Risk of Violence,4,Low,2013-12-03,2013-12-02,2013-12-31,10,28,88,1,1 +10678,alvaro tinoco,alvaro,tinoco,2014-05-26,Male,1982-09-23,33,25 - 45,Hispanic,0,6,0,1,11,0,2014-05-26 03:25:12,2014-05-27 08:18:59,14007296CF10A,2014-05-26,,0,F,Tamper With Witness/Victim/CI,1,15020954TC40A,(M2),,2015-04-04,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,6,Medium,2014-05-26,Risk of Violence,2,Low,2014-05-26,2014-05-26,2014-05-27,11,1,313,1,1 +10680,trevaris session,trevaris,session,2013-03-09,Male,1993-12-01,22,Less than 25,African-American,0,6,0,0,1,-1,2013-03-08 03:36:56,2013-03-29 10:22:10,13003472CF10A,2013-03-08,,1,F,Robbery Sudd Snatch No Weapon,1,15000095MM10A,(M1),,2015-01-03,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-09,Risk of Violence,8,High,2013-03-09,2014-07-07,2014-08-02,1,20,485,0,1 +10682,yanderi soto,yanderi,soto,2013-08-28,Female,1983-02-03,33,25 - 45,Hispanic,0,3,0,0,2,-64,2013-06-25 08:58:27,2013-07-25 12:37:44,13009036CF10A,,2013-06-26,63,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-28,Risk of Violence,2,Low,2013-08-28,2013-06-25,2013-07-25,2,0,947,0,0 +10685,saschelle simms,saschelle,simms,2013-08-04,Female,1987-04-22,28,25 - 45,African-American,0,2,0,0,1,-1,2013-08-03 11:07:36,2013-08-04 09:49:46,13010871CF10A,2013-08-03,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-04,Risk of Violence,2,Low,2013-08-04,2013-08-03,2013-08-04,1,0,971,0,0 +10686,martin martinez,martin,martinez,2013-01-01,Male,1980-01-06,36,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-01 07:58:34,2013-02-06 11:17:21,13000050CF10A,2013-01-01,,0,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-01,Risk of Violence,1,Low,2013-01-01,2013-01-01,2013-02-06,0,36,1186,0,0 +10689,pedro arencibia,pedro,arencibia,2014-02-25,Male,1983-08-16,32,25 - 45,Hispanic,0,3,0,0,1,0,2014-02-25 04:17:29,2014-02-25 08:55:45,14002669CF10A,2014-02-25,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-25,Risk of Violence,2,Low,2014-02-25,2014-02-25,2014-02-25,1,0,766,0,0 +10690,jamon bossier,jamon,bossier,2013-03-15,Male,1992-01-25,24,Less than 25,African-American,0,6,0,0,0,-1,2013-03-14 03:45:06,2013-03-16 09:14:50,13003740CF10A,2013-03-14,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-15,Risk of Violence,5,Medium,2013-03-15,2013-03-14,2013-03-16,0,1,1113,0,0 +10692,travis telfair,travis,telfair,2013-04-10,Male,1983-03-06,33,25 - 45,African-American,2,9,0,0,9,-1,2013-04-09 11:11:40,2013-04-12 04:49:24,13006878MM10A,2013-04-09,,1,M,Assault,1,14003449CF10A,(F2),,2014-01-22,Deliver Cocaine,,,,0,,,,,Risk of Recidivism,9,High,2013-04-10,Risk of Violence,9,High,2013-04-10,2013-07-11,2013-07-12,9,2,92,0,1 +10694,darvin smith,darvin,smith,2013-03-25,Male,1969-12-03,46,Greater than 45,African-American,0,6,0,0,2,-1,2013-03-24 07:46:10,2013-03-25 08:04:20,02004130MM10A,,2013-03-24,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-25,Risk of Violence,3,Low,2013-03-25,2013-03-24,2013-03-25,2,0,1103,0,0 +10695,nicholas leslie,nicholas,leslie,2013-10-08,Male,1985-03-20,31,25 - 45,Caucasian,0,8,0,0,9,0,2013-10-08 04:59:26,2013-10-09 09:06:32,13019137MM10A,2013-10-08,,0,M,Battery,1,14053053TC20A,(M2),,2014-07-22,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2013-10-08,Risk of Violence,2,Low,2013-10-08,2014-01-16,2014-01-17,9,1,100,0,1 +10697,claude ruel,claude,ruel,2014-05-06,Male,1967-01-15,49,Greater than 45,Caucasian,0,8,0,0,3,-1,2014-05-05 10:17:42,2014-06-09 07:48:30,14006303CF10A,2014-05-05,,1,F,Possession of Cocaine,1,15010476MM10A,(M1),0,2015-10-06,Trespass Other Struct/Convey,2015-10-06,2015-10-07,,0,,,,,Risk of Recidivism,8,High,2014-05-06,Risk of Violence,1,Low,2014-05-06,2014-10-25,2014-11-17,3,34,172,0,1 +10698,evon jones,evon,jones,2013-11-18,Male,1991-10-13,24,Less than 25,African-American,0,3,0,3,0,0,2013-11-18 03:27:14,2013-11-18 02:04:33,13016014CF10A,2013-11-18,,0,F,Poss Contr Subst W/o Prescript,1,15008677MM10A,(M1),0,2015-08-16,Possess Cannabis/20 Grams Or Less,2015-08-16,2015-08-16,,0,,,,,Risk of Recidivism,3,Low,2013-11-18,Risk of Violence,3,Low,2013-11-18,2015-08-16,2015-08-16,0,0,636,0,1 +10699,irwin baxter,irwin,baxter,2014-04-10,Male,1959-03-11,57,Greater than 45,African-American,0,10,0,0,28,0,2014-04-10 01:28:12,2014-04-12 05:32:50,14005009CF10A,2014-04-10,,0,F,Possession of Cocaine,1,14005452CF10A,(M1),1,2014-04-18,Resist/Obstruct W/O Violence,2014-04-19,2014-05-28,,1,14005452CF10A,(F3),2014-04-18,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-04-10,Risk of Violence,6,Medium,2014-04-10,2014-04-10,2014-04-12,28,2,8,1,1 +10700,derrick powell,derrick,powell,2013-05-02,Male,1979-07-15,36,25 - 45,African-American,1,10,2,0,14,-1,2013-05-01 05:23:45,2013-05-03 07:33:27,13006260CF10A,2013-05-01,,1,F,Possession of Cocaine,1,13008467CF10A,(F3),1,2013-06-14,Possession of Cocaine,2013-06-15,2014-01-22,,0,,,,,Risk of Recidivism,10,High,2013-05-02,Risk of Violence,9,High,2013-05-02,2013-05-01,2013-05-03,14,1,43,1,1 +10703,arthur washington,arthur,washington,2013-05-25,Male,1972-12-13,43,25 - 45,African-American,0,7,1,0,23,-1,2013-05-24 08:40:39,2013-09-03 10:05:59,13009421CF10A,2013-05-24,,1,F,Deliver Cocaine 1000FT Park,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-25,Risk of Violence,3,Low,2013-05-25,2014-10-22,2014-10-30,23,101,515,0,0 +10706,demetrius weeks,demetrius,weeks,2013-01-02,Male,1973-11-02,42,25 - 45,African-American,0,7,0,0,0,0,2013-01-02 08:01:48,2013-01-09 02:59:21,13000128MM10A,2013-01-01,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-02,Risk of Violence,4,Low,2013-01-02,2013-01-02,2013-01-09,0,7,1185,0,0 +10707,steven orton,steven,orton,2013-12-06,Male,1984-02-11,32,25 - 45,Caucasian,0,10,0,0,4,-1,2013-12-05 02:09:57,2013-12-05 09:40:53,13016825CF10A,2013-12-04,,2,F,"Deliver 3,4 Methylenediox",1,14005627TC20A,(M2),0,2014-01-21,Driving License Suspended,2014-01-21,2014-01-23,,0,,,,,Risk of Recidivism,10,High,2013-12-06,Risk of Violence,8,High,2013-12-06,2014-01-21,2014-01-23,4,0,46,1,1 +10708,christopher rhodes,christopher,rhodes,2013-03-22,Male,1989-05-18,26,25 - 45,Caucasian,0,4,0,0,1,-1,2013-03-21 09:52:22,2013-03-27 09:11:42,13001004CF10A,,2013-03-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-22,Risk of Violence,3,Low,2013-03-22,2013-03-21,2013-03-27,1,5,1106,0,0 +10709,allen willey,allen,willey,2013-01-11,Male,1942-04-15,74,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-10 09:12:31,2013-01-11 09:20:12,13000584MM10A,2013-01-10,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-10,2013-01-11,0,0,1176,0,0 +10712,tony orr,tony,orr,2013-09-19,Male,1991-06-10,24,Less than 25,African-American,0,6,0,1,3,-1,2013-09-18 04:45:27,2013-09-19 08:06:10,13013165CF10A,2013-09-18,,1,F,Possession Burglary Tools,1,13023543MM10A,(M1),0,2013-12-21,Resist/Obstruct W/O Violence,2013-12-21,2013-12-22,,0,,,,,Risk of Recidivism,6,Medium,2013-09-19,Risk of Violence,5,Medium,2013-09-19,2013-12-21,2013-12-22,3,0,93,1,1 +10713,cony bonilla,cony,bonilla,2013-03-11,Female,1991-06-21,24,Less than 25,Hispanic,0,3,0,0,1,-2,2013-03-09 11:55:36,2013-03-10 01:31:32,13004776MM10A,2013-03-09,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-11,Risk of Violence,3,Low,2013-03-11,2013-03-09,2013-03-10,1,0,1117,0,0 +10718,shaun shakespeare,shaun,shakespeare,2013-08-21,Male,1994-03-15,22,Less than 25,Other,0,3,0,1,0,-1,2013-08-20 05:01:29,2013-08-21 07:51:21,13011707CF10A,2013-08-20,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-21,Risk of Violence,6,Medium,2013-08-21,2013-08-20,2013-08-21,0,0,954,0,0 +10719,deandre rolle,deandre,rolle,2013-11-05,Male,1982-09-27,33,25 - 45,African-American,0,4,0,0,2,-1,2013-11-04 06:37:56,2013-11-05 08:59:00,12022838TC10A,2012-03-27,,588,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-05,Risk of Violence,4,Low,2013-11-05,2015-12-21,2015-12-22,2,0,776,0,0 +10720,savannah bridges,savannah,bridges,2014-03-26,Male,1994-02-10,22,Less than 25,African-American,0,6,0,0,1,-1,2014-03-25 06:56:44,2014-03-26 01:24:02,14005166MM10A,2014-03-25,,1,M,Battery,1,15002685MM10A,(M1),0,2015-03-06,Battery,2015-03-06,2015-03-07,,1,15002685MM10A,(M1),2015-03-06,Battery,Risk of Recidivism,6,Medium,2014-03-26,Risk of Violence,6,Medium,2014-03-26,2015-03-06,2015-03-07,1,0,345,1,1 +10721,john gorczyca,john,gorczyca,2013-12-20,Male,1966-02-25,50,Greater than 45,Caucasian,0,2,0,0,4,-27,2013-11-23 03:50:00,2013-12-19 09:53:42,13022038MM10A,2013-11-23,,27,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-20,Risk of Violence,1,Low,2013-12-20,2013-11-23,2013-12-19,4,0,833,0,0 +10723,jacqueline warrick,jacqueline,warrick,2013-04-09,Female,1987-08-17,28,25 - 45,Caucasian,0,6,0,0,7,-7,2013-04-02 06:32:37,2013-04-09 01:53:40,11011212CF10A,,2013-04-02,7,F,arrest case no charge,1,13016687CF10A,(F3),0,2013-12-02,Uttering Forged Bills,2013-12-02,2014-01-22,,0,,,,,Risk of Recidivism,6,Medium,2013-04-09,Risk of Violence,5,Medium,2013-04-09,2013-05-01,2013-08-22,7,0,22,0,1 +10728,raquel stewart,raquel,stewart,2013-12-16,Female,1980-10-31,35,25 - 45,African-American,0,7,0,1,5,-1,2013-12-15 08:46:54,2013-12-22 09:08:39,13017314CF10A,2013-12-15,,1,F,Aggrav Battery w/Deadly Weapon,1,14004715CF10A,(M1),0,2014-04-05,Battery,2014-04-05,2014-10-21,,1,14004715CF10A,(F3),2014-04-05,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2013-12-16,Risk of Violence,3,Low,2013-12-16,2014-04-05,2014-10-21,5,6,110,1,1 +10729,marquis taylor,marquis,taylor,2014-10-16,Male,1982-05-09,33,25 - 45,African-American,0,1,0,0,0,0,2014-10-16 01:24:44,2014-10-16 08:03:13,14013886CF10A,2014-10-15,,1,F,Failure To Return Hired Vehicle,1,15006266MM10A,(M1),0,2015-06-09,Battery,2015-06-09,2015-06-11,,1,15006266MM10A,(M1),2015-06-09,Battery,Risk of Recidivism,1,Low,2014-10-16,Risk of Violence,1,Low,2014-10-16,2015-06-09,2015-06-11,0,0,236,1,1 +10730,syreta moye,syreta,moye,2013-03-09,Female,1980-02-13,36,25 - 45,African-American,0,2,0,0,1,-1,2013-03-08 11:42:17,2013-03-09 01:06:11,13004724MM10A,2013-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,1,0,1119,0,0 +10733,aven vaughn,aven,vaughn,2013-08-30,Male,1988-03-21,28,25 - 45,African-American,0,2,0,0,2,-4,2013-08-26 01:09:45,2013-08-27 10:56:56,13009631CF10A,,2013-07-09,52,F,arrest case no charge,1,13061255TC20A,(M2),,2013-10-01,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-30,Risk of Violence,3,Low,2013-08-30,2013-08-26,2013-08-27,2,0,32,1,1 +10735,ronald sales,ronald,sales,2014-02-09,Male,1952-10-10,63,Greater than 45,African-American,0,1,0,0,1,-1,2014-02-08 10:04:04,2014-02-10 08:40:22,12016933CF10A,,2014-02-08,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-09,Risk of Violence,1,Low,2014-02-09,2014-02-08,2014-02-10,1,1,782,0,0 +10736,duane hawkins,duane,hawkins,2014-06-23,Male,1991-12-16,24,Less than 25,African-American,0,6,0,0,11,-32,2014-05-22 04:21:33,2014-06-23 09:58:17,14002486CF10A,,2014-05-22,32,F,arrest case no charge,1,15014560CF10A,(F3),1,2015-11-07,Possession Of Alprazolam,2015-11-08,2015-11-08,,0,,,,,Risk of Recidivism,6,Medium,2014-06-23,Risk of Violence,4,Low,2014-06-23,2015-02-02,2015-06-29,11,0,224,0,1 +10737,barbara mitchell,barbara,mitchell,2013-10-17,Female,1946-08-02,69,Greater than 45,Caucasian,0,3,0,0,5,-3,2013-10-14 10:12:12,2013-10-15 10:25:43,13014378CF10A,2013-10-14,,3,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-17,Risk of Violence,1,Low,2013-10-17,2014-04-17,2014-04-21,5,0,182,0,0 +10743,perry mcqueen,perry,mcqueen,2014-09-29,Male,1975-02-28,41,25 - 45,African-American,1,6,0,0,18,0,2014-09-29 01:55:51,2015-07-25 02:26:52,14013147CF10A,,2014-09-29,0,F,arrest case no charge,1,15001716MM30A,(M1),55,2015-10-22,Possess Cannabis/20 Grams Or Less,2015-12-16,2015-12-16,,0,,,,,Risk of Recidivism,6,Medium,2014-09-29,Risk of Violence,8,High,2014-09-29,2014-09-29,2015-07-25,18,299,388,1,1 +10748,james sauer,james,sauer,2013-04-10,Male,1971-11-08,44,25 - 45,Caucasian,0,1,0,0,1,-1,2013-04-09 08:28:04,2013-04-10 08:06:36,13006872MM10A,2013-04-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-10,Risk of Violence,1,Low,2013-04-10,2013-04-09,2013-04-10,1,0,1087,0,0 +10749,colleen louis,colleen,louis,2014-01-04,Female,1987-04-03,29,25 - 45,African-American,0,2,0,0,0,-1,2014-01-03 04:12:16,2014-01-04 01:58:37,14000129CF10A,2014-01-03,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-04,Risk of Violence,2,Low,2014-01-04,2014-01-03,2014-01-04,0,0,818,0,0 +10750,alejandra palacios,alejandra,palacios,2013-12-15,Female,1963-08-11,52,Greater than 45,Caucasian,0,3,0,0,0,-1,2013-12-14 04:55:04,2013-12-15 09:13:15,13023182MM10A,2013-12-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-14,2013-12-15,0,0,838,0,0 +10753,jazzy johnson,jazzy,johnson,2013-02-23,Male,1992-10-15,23,Less than 25,African-American,0,10,0,0,1,-1,2013-02-22 03:33:10,2013-02-24 02:27:32,13002753CF10A,2013-02-22,,1,F,Possession of Cocaine,1,13005926CF10A,(F2),0,2013-04-25,Aggravated Battery / Pregnant,2013-04-25,2013-09-17,,1,13005926CF10A,(F2),2013-04-25,Aggravated Battery / Pregnant,Risk of Recidivism,10,High,2013-02-23,Risk of Violence,9,High,2013-02-23,2013-04-25,2013-09-17,1,1,61,1,1 +10754,jazmin gonzalez,jazmin,gonzalez,2013-06-03,Female,1993-10-12,22,Less than 25,Hispanic,0,4,0,0,0,-2,2013-06-01 10:56:01,2013-06-02 02:04:54,13010520MM10A,2013-06-01,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-03,Risk of Violence,4,Low,2013-06-03,2013-06-01,2013-06-02,0,0,1033,0,0 +10756,mazen caceres,mazen,caceres,2014-02-12,Male,1989-10-12,26,25 - 45,Caucasian,0,4,0,0,0,-1,2014-02-11 05:01:54,2014-02-12 02:28:50,14001953CF10A,2014-02-11,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-02-11,2014-02-12,0,0,779,0,0 +10757,christopher tribie,christopher,tribie,2014-06-14,Male,1991-05-30,24,Less than 25,African-American,0,6,0,0,0,-1,2014-06-13 01:32:16,2014-07-03 10:09:04,14009385MM10A,2014-06-13,,1,M,Viol Injunct Domestic Violence,1,14012691CF10A,(F3),,2014-07-08,Stalking (Aggravated),,,,1,14012691CF10A,(F3),2014-07-08,Stalking (Aggravated),Risk of Recidivism,6,Medium,2014-06-14,Risk of Violence,4,Low,2014-06-14,2014-06-13,2014-07-03,0,19,24,1,1 +10758,bernitrust harrigan,bernitrust,harrigan,2013-04-06,Male,1970-09-06,45,Greater than 45,African-American,0,2,0,0,4,0,2013-04-06 12:37:10,2013-04-09 12:38:36,13006588MM10A,2013-04-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-06,Risk of Violence,1,Low,2013-04-06,2014-10-01,2014-10-07,4,3,543,0,0 +10760,steven alardo,steven,alardo,2014-07-01,Male,1993-11-10,22,Less than 25,Hispanic,0,2,0,0,0,-1,2014-06-30 06:30:15,2014-07-01 02:01:17,14008982CF10A,2014-06-30,,1,F,Grand Theft in the 3rd Degree,1,14009819CF10A,(F3),1,2014-07-17,Possession of Oxycodone,2014-07-18,2014-07-18,,0,,,,,Risk of Recidivism,2,Low,2014-07-01,Risk of Violence,4,Low,2014-07-01,2015-02-17,2015-02-25,0,0,16,1,1 +10761,fabian frazier,fabian,frazier,2013-07-12,Male,1991-07-01,24,Less than 25,African-American,0,4,0,0,4,-3,2013-07-09 06:37:17,2013-07-12 11:59:49,13009590CF10A,2013-07-09,,3,F,Burglary Unoccupied Dwelling,1,14007656CF10A,(M1),0,2014-06-03,Possess Cannabis/20 Grams Or Less,2014-06-03,2015-12-09,,0,,,,,Risk of Recidivism,4,Low,2013-07-12,Risk of Violence,4,Low,2013-07-12,2014-05-09,2014-05-14,4,0,301,0,1 +10762,priscilla chavez,priscilla,chavez,2013-12-11,Female,1990-03-20,26,25 - 45,Hispanic,0,4,0,0,1,-6,2013-12-05 05:14:02,2013-12-10 07:12:45,13022591MM10A,2013-12-05,,6,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-11,Risk of Violence,3,Low,2013-12-11,2013-12-05,2013-12-10,1,0,842,0,0 +10763,garland humpheries,garland,humpheries,2013-03-18,Male,1968-11-14,47,Greater than 45,African-American,0,1,0,0,0,0,2013-03-18 03:42:01,2013-03-19 06:59:08,13005340MM10A,2013-03-18,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-18,2013-03-19,0,1,1110,0,0 +10764,tyler flowers,tyler,flowers,2014-07-11,Male,1996-04-18,20,Less than 25,African-American,1,10,0,0,2,-35,2014-06-06 02:21:01,2014-06-07 07:49:32,14007837CF10A,2014-06-06,,35,F,Felony Batt(Great Bodily Harm),1,15006442CF10A,(F2),,2015-05-15,Agg Fleeing/Eluding High Speed,,,,1,15006442CF10A,(F2),2015-05-15,Agg Fleeing/Eluding High Speed,Risk of Recidivism,10,High,2014-07-11,Risk of Violence,10,High,2014-07-11,2014-06-06,2014-06-07,2,0,308,1,1 +10765,eric shivers,eric,shivers,2013-08-27,Male,1990-01-07,26,25 - 45,African-American,0,4,0,0,0,0,2013-08-27 05:05:13,2013-08-27 06:56:41,13012107CF10A,2013-08-26,,1,F,Uttering Forged Bills,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,4,Low,2013-08-27,2013-08-27,2013-08-27,0,0,948,0,0 +10766,ervin french,ervin,french,2013-04-03,Male,1979-12-27,36,25 - 45,African-American,0,7,0,0,9,-1,2013-04-02 10:06:06,2013-04-03 07:58:18,13004717CF10A,2013-04-02,,1,F,Possession of Cocaine,1,13007327CF10A,(M1),0,2013-05-22,Possess Cannabis/20 Grams Or Less,2013-05-22,2013-05-23,,0,,,,,Risk of Recidivism,7,Medium,2013-04-03,Risk of Violence,7,Medium,2013-04-03,2013-05-22,2013-05-23,9,0,49,1,1 +10768,luis mercado,luis,mercado,2013-11-21,Male,1982-06-28,33,25 - 45,Caucasian,0,3,0,0,2,-1,2013-11-20 11:48:13,2013-11-22 05:16:36,13021919MM10A,2013-11-20,,1,M,DUI Property Damage/Injury,1,14052731TC30A,(M2),,2014-05-02,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-21,Risk of Violence,2,Low,2013-11-21,2013-11-20,2013-11-22,2,1,162,1,1 +10769,christopher pulsifer,christopher,pulsifer,2013-04-02,Male,1963-09-26,52,Greater than 45,Caucasian,0,1,0,0,1,0,2013-04-02 01:14:06,2013-04-03 03:39:16,13006365MM10A,2013-04-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-02,Risk of Violence,1,Low,2013-04-02,2013-04-02,2013-04-03,1,1,1095,0,0 +10770,luis quintero,luis,quintero,2013-04-05,Male,1964-07-07,51,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-05 12:26:24,2013-04-05 01:22:47,13004864CF10A,,2013-04-04,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-05,2013-04-05,0,0,1092,0,0 +10773,william sims,william,sims,2013-07-29,Male,1995-04-30,20,Less than 25,Caucasian,0,8,0,3,1,-32,2013-06-27 07:37:30,2013-06-28 09:16:14,13009068CF10A,2013-06-27,,32,F,Burglary Conveyance Unoccup,1,14000650MM40A,(M1),,2014-01-30,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-07-29,Risk of Violence,7,Medium,2013-07-29,2014-12-10,2015-02-26,1,0,185,1,1 +10774,berry sanders,berry,sanders,2013-04-09,Male,1968-05-25,47,Greater than 45,African-American,0,1,0,0,7,-1,2013-04-08 07:37:52,2013-06-04 07:39:04,13005048CF10A,2013-04-08,,1,F,Agg Battery Grt/Bod/Harm,1,13010050CF10A,(F1),4,2013-07-13,Kidnapping,2013-07-17,2015-10-12,,1,13010050CF10A,(F3),2013-07-13,Aggravated Assault W/dead Weap,Risk of Recidivism,1,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-04-08,2013-06-04,7,56,95,1,1 +10778,roger nichols,roger,nichols,2014-06-13,Male,1977-11-30,38,25 - 45,Caucasian,0,1,0,0,1,-1,2014-06-12 07:29:49,2014-06-13 01:45:37,14021917MU10A,2014-06-12,,1,M,Reckless Driving,1,15005627MM10A,(M1),0,2015-05-22,Battery,2015-05-22,2015-05-23,,1,15005627MM10A,(M1),2015-05-22,Battery,Risk of Recidivism,1,Low,2014-06-13,Risk of Violence,1,Low,2014-06-13,2015-01-16,2015-01-17,1,0,217,0,1 +10779,john scolo,john,scolo,2013-04-06,Male,1948-06-09,67,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-04-05 11:40:27,2013-04-06 01:11:53,13004904CF10A,2013-04-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-06,Risk of Violence,1,Low,2013-04-06,2013-04-05,2013-04-06,1,0,1091,0,0 +10781,jaynell bristol,jaynell,bristol,2013-07-17,Male,1968-07-07,47,Greater than 45,African-American,0,1,0,0,1,-3,2013-07-14 11:11:51,2013-07-15 01:37:10,13009878CF10A,2013-07-14,,3,F,Battery on Law Enforc Officer,1,15011421MM10A,(M1),0,2015-10-30,Resist/Obstruct W/O Violence,2015-10-30,2015-10-31,,0,,,,,Risk of Recidivism,1,Low,2013-07-17,Risk of Violence,2,Low,2013-07-17,2015-10-30,2015-10-31,1,0,835,1,0 +10783,george mihelich,george,mihelich,2013-02-23,Male,1949-07-07,66,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-22 01:47:24,2013-02-23 08:24:24,13003748MM10A,2013-02-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-23,0,0,1133,0,0 +10784,christopher risor,christopher,risor,2014-02-04,Male,1976-10-14,39,25 - 45,Caucasian,0,2,0,0,0,-1,2014-02-03 07:26:31,2014-02-04 07:51:16,14001503CF10A,2014-02-03,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-03,2014-02-04,0,0,787,0,0 +10786,adriana cardona,adriana,cardona,2013-09-19,Female,1966-08-31,49,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-09-18 08:32:20,2013-12-09 08:40:42,13017805MM10A,2013-09-18,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-19,Risk of Violence,1,Low,2013-09-19,2013-09-18,2013-12-09,2,81,925,0,0 +10787,lisa scott,lisa,scott,2013-05-10,Female,1970-07-28,45,Greater than 45,African-American,0,7,0,0,9,0,2013-05-10 04:46:42,2013-07-24 09:08:35,13009083MM10A,2013-05-10,,0,M,Battery,1,15001303MM30A,(M1),,2015-08-04,Criminal Mischief>$200<$1000,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-10,Risk of Violence,9,High,2013-05-10,2013-05-10,2013-07-24,9,75,816,1,0 +10788,nadeem ali,nadeem,ali,2013-09-13,Male,1993-09-29,22,Less than 25,Asian,0,2,0,0,1,0,2013-09-13 04:22:12,2013-09-13 10:02:49,13017503MM10A,2013-09-13,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-13,Risk of Violence,4,Low,2013-09-13,2013-09-13,2013-09-13,1,0,931,0,0 +10793,tammie linn,tammie,linn,2014-07-03,Female,1969-09-01,46,Greater than 45,Caucasian,0,7,0,0,7,-1,2014-07-02 10:19:24,2014-07-06 05:11:30,14009070CF10A,2014-07-02,,1,F,Tampering With Physical Evidence,1,15000495CF10A,(F3),,2015-01-08,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,7,Medium,2014-07-03,Risk of Violence,3,Low,2014-07-03,2015-01-02,2015-08-19,7,3,189,1,1 +10794,kevin pew,kevin,pew,2014-10-06,Male,1986-10-08,29,25 - 45,African-American,0,6,0,0,15,-1,2014-10-05 06:05:28,2014-10-07 04:36:25,14013441CF10A,2014-10-05,,1,F,Driving While License Revoked,1,14042147TC10A,(M2),0,2014-11-08,Operating W/O Valid License,2014-11-08,2014-11-08,,0,,,,,Risk of Recidivism,6,Medium,2014-10-06,Risk of Violence,3,Low,2014-10-06,2014-11-08,2014-11-08,15,1,33,0,1 +10795,jermaine thomas,jermaine,thomas,2013-02-14,Male,1987-11-07,28,25 - 45,African-American,0,5,0,0,2,-1,2013-02-13 04:52:34,2013-02-15 05:29:54,09004255MM40B,2009-07-08,,1317,M,Possess Cannabis/20 Grams Or Less,1,13020520MM10A,(M1),0,2013-08-23,Possess Cannabis/20 Grams Or Less,2013-08-23,2013-08-24,,0,,,,,Risk of Recidivism,5,Medium,2013-02-14,Risk of Violence,4,Low,2013-02-14,2013-08-23,2013-08-24,2,1,190,1,1 +10799,tenesha murdock,tenesha,murdock,2014-02-05,Female,1993-09-06,22,Less than 25,African-American,0,4,0,0,0,-1,2014-02-04 11:47:19,2014-02-05 12:59:53,14001593CF10A,2014-02-04,,1,F,Grand Theft in the 3rd Degree,1,15007000MM10A,(M1),0,2015-06-30,Unlaw Use False Name/Identity,2015-06-30,2015-09-10,,0,,,,,Risk of Recidivism,4,Low,2014-02-05,Risk of Violence,4,Low,2014-02-05,2015-06-30,2015-09-10,0,0,510,1,1 +10801,jamaree moreland,jamaree,moreland,2013-10-16,Male,1995-08-31,20,Less than 25,African-American,1,5,0,1,1,3,2013-10-19 11:19:26,2013-10-24 05:17:40,13012923CF10A,,2013-09-24,22,F,arrest case no charge,1,13019816MM10A,(M1),0,2013-10-19,Possess Cannabis/20 Grams Or Less,2013-10-19,2013-10-24,,0,,,,,Risk of Recidivism,5,Medium,2013-10-16,Risk of Violence,8,High,2013-10-16,2013-10-19,2013-10-24,1,0,3,1,1 +10803,robert yaggle,robert,yaggle,2014-02-07,Male,1981-11-04,34,25 - 45,Caucasian,0,1,0,0,5,-1,2014-02-06 07:11:47,2014-02-07 08:33:05,13007035CF10A,,2014-02-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-07,Risk of Violence,1,Low,2014-02-07,2014-02-06,2014-02-07,5,0,784,0,0 +10805,michael decicco,michael,decicco,2013-08-15,Male,1981-07-06,34,25 - 45,Caucasian,0,5,0,0,13,-90,2013-05-17 02:27:35,2013-06-19 07:55:17,13007065CF10A,2013-05-16,,91,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-15,Risk of Violence,4,Low,2013-08-15,2013-05-17,2013-06-19,13,0,960,0,0 +10806,tevin phillips,tevin,phillips,2014-12-31,Male,1993-06-02,22,Less than 25,African-American,0,4,1,0,8,-1,2014-12-30 02:15:57,2015-02-07 09:14:51,14017207CF10A,2014-12-30,,1,F,Burglary Unoccupied Dwelling,1,15006865MM10A,(M1),1,2015-06-26,Resist/Obstruct W/O Violence,2015-06-27,2015-10-22,,1,15006865MM10A,(M1),2015-06-26,Battery,Risk of Recidivism,4,Low,2014-12-31,Risk of Violence,6,Medium,2014-12-31,2015-02-11,2015-06-19,8,38,42,0,1 +10807,joshua marlowe,joshua,marlowe,2013-08-05,Male,1990-05-15,25,25 - 45,Caucasian,0,9,0,0,3,7,2013-08-12 02:20:01,2014-01-31 03:10:09,13014450MM10A,2013-07-31,,5,M,Driving License Suspended,1,13011307CF10A,(M2),0,2013-08-12,Petit Theft,2013-08-12,2014-01-31,,0,,,,,Risk of Recidivism,9,High,2013-08-05,Risk of Violence,7,Medium,2013-08-05,2013-08-12,2014-01-31,3,0,7,1,1 +10808,allen martin,allen,martin,2013-09-30,Male,1989-03-19,27,25 - 45,Caucasian,0,5,2,1,13,-59,2013-08-02 02:13:21,2013-09-28 04:30:00,13012061CF10A,,2013-08-22,39,F,arrest case no charge,1,13022876MM10A,(M2),0,2013-12-06,Disorderly Intoxication,2013-12-06,2013-12-06,,1,14006051CF10A,(F2),2014-04-30,Agg Battery Grt/Bod/Harm,Risk of Recidivism,5,Medium,2013-09-30,Risk of Violence,5,Medium,2013-09-30,2013-12-06,2013-12-06,13,0,67,0,1 +10810,reginald prudent,reginald,prudent,2013-03-06,Male,1981-07-16,34,25 - 45,African-American,0,6,0,0,1,-1,2013-03-05 10:06:08,2013-03-06 06:32:31,13002558CF10A,,2013-03-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-06,Risk of Violence,3,Low,2013-03-06,2013-03-05,2013-03-06,1,0,1122,0,0 +10811,michael valente,michael,valente,2013-08-30,Male,1981-10-12,34,25 - 45,Caucasian,0,5,0,0,1,-2,2013-08-28 05:17:09,2013-08-29 10:00:01,13012154CF10A,2013-08-28,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-30,Risk of Violence,2,Low,2013-08-30,2014-04-24,2014-05-23,1,0,237,0,0 +10814,terry shepard,terry,shepard,2014-06-11,Male,1961-10-08,54,Greater than 45,African-American,0,4,0,0,10,0,2014-06-11 06:04:40,2014-06-11 08:02:42,14008101CF10A,2014-06-11,,0,F,Possession of Cocaine,1,14015720MM10A,(M1),0,2014-10-30,Resist/Obstruct W/O Violence,2014-10-30,2014-11-18,,0,,,,,Risk of Recidivism,4,Low,2014-06-11,Risk of Violence,1,Low,2014-06-11,2014-10-30,2014-11-18,10,0,141,1,1 +10817,vincent lewis,vincent,lewis,2014-06-24,Male,1964-10-21,51,Greater than 45,Other,0,1,0,0,0,-1,2014-06-23 08:46:37,2014-06-24 10:37:45,14008651CF10A,2014-06-23,,1,F,Possession Of Methamphetamine,1,15006809CF10A,(F3),0,2015-05-25,Possession of Cocaine,2015-05-25,2015-05-25,,0,,,,,Risk of Recidivism,1,Low,2014-06-24,Risk of Violence,1,Low,2014-06-24,2015-05-25,2015-05-25,0,0,335,0,1 +10818,melanie philips,melanie,philips,2014-05-13,Female,1979-10-08,36,25 - 45,Caucasian,0,3,0,0,5,-1,2014-05-12 09:08:07,2014-05-13 08:25:16,13001135CF10A,,2014-05-12,1,F,arrest case no charge,1,14015947CF10A,(F3),,2014-11-27,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,3,Low,2014-05-13,Risk of Violence,1,Low,2014-05-13,2015-09-10,2015-10-23,5,0,198,1,1 +10819,jean cyma,jean,cyma,2014-07-09,Male,1996-03-18,20,Less than 25,Asian,0,10,1,0,2,-1,2014-07-08 01:20:50,2014-08-29 04:10:30,14009437CF10A,2014-07-08,,1,F,Grand Theft in the 3rd Degree,1,15000287CF10A,(F1),,2015-01-05,Murder in 2nd Degree,,,,1,15000287CF10A,(F1),2015-01-05,Murder in 2nd Degree,Risk of Recidivism,10,High,2014-07-09,Risk of Violence,8,High,2014-07-09,2014-07-08,2014-08-29,2,51,180,1,1 +10821,stephon brown,stephon,brown,2014-12-12,Male,1986-01-13,30,25 - 45,African-American,1,5,0,2,8,-1,2014-12-11 11:21:18,2015-02-04 08:27:28,14016454CF10A,2014-12-11,,1,F,Possession of Cocaine,1,15005193MM10A,(M1),0,2015-05-09,Viol Injunct Domestic Violence,2015-05-09,2015-05-12,,0,,,,,Risk of Recidivism,5,Medium,2014-12-12,Risk of Violence,3,Low,2014-12-12,2015-05-09,2015-05-12,8,54,148,1,1 +10823,jesus palomo,jesus,palomo,2014-11-20,Male,1972-02-15,44,25 - 45,Hispanic,0,1,0,0,0,-1,2014-11-19 05:10:20,2014-11-20 09:24:11,14016525MM10A,2014-11-19,,1,M,Battery,1,15057037TC20A,(M2),,2015-10-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,1,Low,2014-11-20,Risk of Violence,1,Low,2014-11-20,2014-11-19,2014-11-20,0,0,331,1,1 +10824,britney vincent,britney,vincent,2014-04-18,Female,1992-06-02,23,Less than 25,African-American,0,4,0,0,1,-1,2014-04-17 01:53:22,2014-05-15 10:32:30,14005397CF10A,2014-04-17,,1,F,Burglary Conveyance Unoccup,1,14012533MM10A,(M1),,2014-07-28,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,4,Low,2014-04-18,Risk of Violence,3,Low,2014-04-18,2014-04-17,2014-05-15,1,27,101,1,1 +10827,luis garcia,luis,garcia,2014-03-16,Male,1975-12-14,40,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-15 05:42:13,2014-03-16 09:20:50,14003680CF10A,2014-03-15,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0 +10828,francisco balbosa,francisco,balbosa,2014-05-01,Male,1951-04-02,65,Greater than 45,Hispanic,0,1,0,0,2,-53,2014-03-09 10:15:48,2014-03-10 11:03:35,14004076MM10A,2014-03-09,,53,M,Criminal Mischief>$200<$1000,1,14002851MM40A,(M2),,2014-05-28,Food License Violation,,,,0,,,,,Risk of Recidivism,1,Low,2014-05-01,Risk of Violence,1,Low,2014-05-01,2014-03-09,2014-03-10,2,0,27,1,1 +10829,olivia hines,olivia,hines,2013-10-24,Female,1993-09-30,22,Less than 25,African-American,0,6,0,0,1,-97,2013-07-19 02:07:24,2013-10-23 09:05:04,13010086CF10A,2013-07-19,,97,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-24,Risk of Violence,6,Medium,2013-10-24,2014-05-13,2014-06-20,1,0,201,0,0 +10831,tiffany miller,tiffany,miller,2013-12-05,Female,1989-03-12,27,25 - 45,Caucasian,0,8,0,0,0,0,2013-12-05 03:52:06,2013-12-05 08:05:45,13022575MM10A,2013-12-05,,0,M,Battery,1,14001864CF10A,(F3),1,2014-02-09,Resist Officer w/Violence,2014-02-10,2014-03-03,,1,14001864CF10A,(F3),2014-02-09,Battery on Law Enforc Officer,Risk of Recidivism,8,High,2013-12-05,Risk of Violence,6,Medium,2013-12-05,2016-02-13,2016-02-20,0,0,66,1,1 +10835,nicolas barahonaneira,nicolas,barahonaneira,2013-08-15,Male,1993-01-30,23,Less than 25,Hispanic,0,5,0,0,2,-1,2013-08-14 09:28:22,2013-08-16 10:44:46,13011425CF10A,2013-08-14,,1,F,Burglary Conveyance Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-15,Risk of Violence,4,Low,2013-08-15,2013-08-14,2013-08-16,2,1,960,0,0 +10836,jonathan estilien,jonathan,estilien,2014-04-12,Male,1991-02-18,25,25 - 45,African-American,0,6,0,0,3,-1,2014-04-11 06:11:56,2014-04-12 09:13:48,14005050CF10A,2014-04-11,,1,F,Driving While License Revoked,1,14015173MM10A,(M1),0,2014-10-18,Criminal Mischief>$200<$1000,2014-10-18,2014-11-05,,0,,,,,Risk of Recidivism,6,Medium,2014-04-12,Risk of Violence,4,Low,2014-04-12,2014-10-18,2014-11-05,3,0,189,1,1 +10837,oscar andrews,oscar,andrews,2013-08-15,Male,1969-01-05,47,Greater than 45,African-American,0,6,0,0,14,-1,2013-08-14 05:27:06,2013-09-14 05:54:00,13015392MM10A,2013-08-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-15,Risk of Violence,1,Low,2013-08-15,2013-08-14,2013-09-14,14,30,960,0,0 +10838,ricardo stewart,ricardo,stewart,2014-05-28,Female,1989-02-24,27,25 - 45,African-American,0,6,0,1,3,0,2014-05-28 01:54:34,2014-05-30 09:21:57,14007422CF10A,2014-05-27,,1,F,Grand Theft in the 3rd Degree,1,15008348CF10A,(F3),117,2015-04-25,Failure To Return Hired Vehicle,2015-08-20,2015-08-24,,0,,,,,Risk of Recidivism,6,Medium,2014-05-28,Risk of Violence,5,Medium,2014-05-28,2014-05-28,2014-05-30,3,2,332,1,1 +10839,michael gardner,michael,gardner,2013-10-04,Male,1977-08-25,38,25 - 45,African-American,2,9,3,0,16,28,2013-11-01 05:17:12,2013-12-04 09:22:13,13012958MM10A,2013-07-08,,88,M,Battery,1,13045764TC10A,(M2),0,2013-11-01,Operating W/O Valid License,2013-11-01,2013-12-04,,1,14001900CF10A,(F2),2014-02-10,Agg Battery Grt/Bod/Harm,Risk of Recidivism,9,High,2013-10-04,Risk of Violence,6,Medium,2013-10-04,2013-11-01,2013-12-04,16,0,28,1,1 +10841,joshua maxwell,joshua,maxwell,2014-08-16,Male,1989-04-01,27,25 - 45,African-American,0,1,0,0,0,-1,2014-08-15 08:03:05,2014-08-20 09:37:56,14012337MM10A,2014-08-15,,1,M,Battery,1,15004611CF10A,(F3),0,2015-04-08,Grand Theft (Motor Vehicle),2015-04-08,2015-06-17,,0,,,,,Risk of Recidivism,1,Low,2014-08-16,Risk of Violence,2,Low,2014-08-16,2015-04-08,2015-06-17,0,4,235,1,1 +10843,edward mejia,edward,mejia,2014-01-29,Male,1991-08-12,24,Less than 25,Hispanic,0,3,0,0,0,0,2014-01-29 03:01:54,2014-01-29 10:17:24,14001636MM10A,2014-01-29,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-29,Risk of Violence,5,Medium,2014-01-29,2014-01-29,2014-01-29,0,0,793,0,0 +10844,steven sistrunk,steven,sistrunk,2013-05-01,Male,1986-01-13,30,25 - 45,Caucasian,0,8,0,0,4,0,2013-05-01 03:36:06,2013-05-06 01:37:10,13006259CF10A,2013-04-30,,1,F,Possession Of Heroin,1,15013116TC30A,(M2),,2015-02-14,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,8,High,2013-05-01,Risk of Violence,4,Low,2013-05-01,2013-12-06,2014-01-26,4,5,219,0,1 +10848,joseph alvardo,joseph,alvardo,2013-04-19,Male,1985-01-26,31,25 - 45,African-American,0,6,0,0,1,,,,08020871CF10A,,2009-09-03,1324,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-19,Risk of Violence,6,Medium,2013-04-19,2009-11-17,2012-02-02,1,0,1078,0,0 +10849,michael west,michael,west,2013-08-06,Male,1982-11-24,33,25 - 45,African-American,0,7,0,0,4,-1,2013-08-05 07:35:42,2013-08-22 09:03:08,13014735MM10A,2013-08-05,,1,M,Exposes Culpable Negligence,1,13016560CF10A,(F3),0,2013-11-29,Possession of Cocaine,2013-11-29,2014-08-21,,0,,,,,Risk of Recidivism,7,Medium,2013-08-06,Risk of Violence,6,Medium,2013-08-06,2013-11-29,2014-08-21,4,16,115,1,1 +10851,eriane early,eriane,early,2014-02-05,Female,1986-09-17,29,25 - 45,African-American,0,3,0,0,2,-1,2014-02-04 01:07:05,2014-02-14 08:06:36,14001566CF10A,2014-02-04,,1,F,Resist Officer w/Violence,1,15065926TC20A,(M2),,2015-12-08,DWLS Canceled Disqul 1st Off,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-05,Risk of Violence,3,Low,2014-02-05,2014-02-04,2014-02-14,2,9,671,1,1 +10854,alvaro saraviaciudadreal,alvaro,saraviaciudadreal,2013-09-04,Male,1977-10-25,38,25 - 45,Other,0,2,0,0,0,-2,2013-09-02 02:06:21,2013-09-03 07:40:54,13016770MM10A,2013-09-01,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-02,2013-09-03,0,0,940,0,0 +10855,gregory johnson,gregory,johnson,2013-10-16,Male,1959-11-05,56,Greater than 45,African-American,0,6,0,0,31,-22,2013-09-24 02:42:28,2013-09-24 08:13:30,13013422CF10A,2013-09-23,,23,F,Possession of Cocaine,1,14006021CF10A,(M1),0,2014-04-30,Trespass/Property/Other Structure,2014-04-30,2014-05-01,,0,,,,,Risk of Recidivism,6,Medium,2013-10-16,Risk of Violence,7,Medium,2013-10-16,2014-01-22,2014-02-21,31,0,98,0,1 +10858,odainey rodney,odainey,rodney,2013-11-16,Male,1989-09-25,26,25 - 45,African-American,0,2,0,0,0,0,2013-11-16 04:21:20,2013-11-19 03:33:50,13015927CF10A,2013-11-15,,1,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-16,Risk of Violence,3,Low,2013-11-16,2013-11-16,2013-11-19,0,3,867,0,0 +10859,miah johnson,miah,johnson,2013-09-13,Female,1987-11-26,28,25 - 45,African-American,0,8,0,0,5,-1,2013-09-12 09:19:13,2013-09-13 08:10:02,13012896CF10A,2013-09-12,,1,F,Poss Anti-Shoplifting Device,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-13,Risk of Violence,4,Low,2013-09-13,2013-09-12,2013-09-13,5,0,931,0,0 +10860,alreegus holmes,alreegus,holmes,2014-02-19,Male,1972-09-13,43,25 - 45,African-American,0,6,0,0,5,0,2014-02-19 04:03:28,2014-03-05 10:06:18,09024482MM10A,,2011-02-10,1105,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-19,Risk of Violence,7,Medium,2014-02-19,2014-02-19,2014-03-05,5,14,772,0,0 +10863,omar browne,omar,browne,2014-01-08,Male,1986-09-22,29,25 - 45,African-American,0,2,0,0,2,-1,2014-01-07 08:32:58,2014-01-08 12:24:55,14000285CF10A,2014-01-07,,1,F,Possession of Cannabis,1,15009255CF10A,(F2),0,2015-07-18,Burglary Dwelling Occupied,2015-07-18,2015-07-19,,1,15009255CF10A,(M1),2015-07-17,Battery,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,2,Low,2014-01-08,2015-07-18,2015-07-19,2,0,556,1,1 +10864,sayon hamilton,sayon,hamilton,2013-03-20,Male,1993-06-20,22,Less than 25,African-American,0,7,0,1,1,0,2013-03-20 12:28:45,2013-03-21 04:00:30,13003992CF10A,2013-03-19,,1,F,Grand Theft (Motor Vehicle),1,13009850CF10A,(F3),1,2013-07-12,Possession Burglary Tools,2013-07-13,2013-08-22,,0,,,,,Risk of Recidivism,7,Medium,2013-03-20,Risk of Violence,7,Medium,2013-03-20,2013-03-20,2013-03-21,1,1,114,1,1 +10865,douglas bell,douglas,bell,2013-03-07,Male,1941-07-10,74,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-03-06 11:28:06,2013-03-16 01:41:01,05003601CF10A,,2013-03-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-07,Risk of Violence,1,Low,2013-03-07,2013-03-06,2013-03-16,2,9,1121,0,0 +10869,jeffrey jackson,jeffrey,jackson,2013-05-08,Male,1968-12-03,47,Greater than 45,African-American,0,10,0,0,4,-1,2013-05-07 04:24:58,2013-07-10 11:23:00,13006520CF10A,2013-05-07,,1,F,Possession of Cocaine,1,14009697CF10A,(F3),0,2014-07-16,Possession of Cocaine,2014-07-16,2014-11-11,,1,15003240CF10A,(F2),2015-03-09,Arson II (Vehicle),Risk of Recidivism,10,High,2013-05-08,Risk of Violence,2,Low,2013-05-08,2013-10-14,2014-04-25,4,63,159,0,1 +10870,lorraine loftis,lorraine,loftis,2014-10-22,Female,1973-12-26,42,25 - 45,Caucasian,0,8,0,0,4,-10,2014-10-12 12:32:44,2014-10-17 09:07:12,14013745CF10A,2014-10-11,,11,F,Battery Emergency Care Provide,1,15004431MM10A,(M2),0,2015-04-18,Defrauding Innkeeper $300/Less,2015-04-18,2015-04-24,,0,,,,,Risk of Recidivism,8,High,2014-10-22,Risk of Violence,1,Low,2014-10-22,2014-12-15,2015-01-05,4,0,54,0,1 +10871,gina hawkins,gina,hawkins,2013-04-01,Female,1972-07-28,43,25 - 45,Caucasian,0,1,0,0,0,-2,2013-03-30 11:02:54,2013-03-31 02:41:31,13006131MM10A,2013-03-30,,2,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-03-30,2013-03-31,0,0,1096,0,0 +10873,kristina velez,kristina,velez,2013-05-29,Female,1987-10-31,28,25 - 45,African-American,0,5,0,0,6,-1,2013-05-28 03:55:02,2013-05-30 05:36:04,13010260MM10A,2013-05-28,,1,M,Unlaw LicTag/Sticker Attach,1,14008137TC10A,(M2),61,2013-12-27,Susp Drivers Lic 1st Offense,2014-02-26,2014-02-27,,0,,,,,Risk of Recidivism,5,Medium,2013-05-29,Risk of Violence,3,Low,2013-05-29,2013-05-28,2013-05-30,6,1,212,1,1 +10874,laneatra brown,laneatra,brown,2013-10-21,Female,1992-01-26,24,Less than 25,African-American,0,4,0,0,0,-3,2013-10-18 10:54:07,2013-10-19 05:46:07,13014619CF10A,2013-10-18,,3,F,Corrupt Public Servant,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-21,Risk of Violence,4,Low,2013-10-21,2015-07-20,2015-07-21,0,0,637,0,0 +10875,jeremy gordontoylor,jeremy,gordontoylor,2013-01-30,Male,1990-04-07,26,25 - 45,Asian,0,3,0,0,2,-1,2013-01-29 12:36:15,2013-08-17 05:08:15,12017918CF10A,,2013-01-29,1,F,arrest case no charge,1,14011963MM10A,(M1),0,2014-08-07,Tresspass in Struct/Convey Occupy,2014-08-07,2014-08-25,,1,14015887CF10A,(F3),2014-11-26,Att Robbery Sudd Snatch No Weap,Risk of Recidivism,3,Low,2013-01-30,Risk of Violence,5,Medium,2013-01-30,2013-12-12,2013-12-17,2,199,316,0,1 +10876,alfonso jackson,alfonso,jackson,2013-04-22,Male,1959-12-06,56,Greater than 45,African-American,0,2,0,0,0,-1,2013-04-21 01:36:24,2013-04-22 01:00:45,13007672MM10A,2013-04-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-21,2013-04-22,0,0,1075,0,0 +10878,luis pena,luis,pena,2013-02-08,Male,1968-07-14,47,Greater than 45,Hispanic,0,6,0,0,3,-1,2013-02-07 10:53:41,2013-02-13 09:36:28,13005871TC10A,2013-02-07,,1,M,Driving License Suspended,1,14014804CF10A,(F3),0,2014-11-04,Petit Theft Habitual Offender,2014-11-04,2014-12-20,,0,,,,,Risk of Recidivism,6,Medium,2013-02-08,Risk of Violence,1,Low,2013-02-08,2014-11-04,2014-12-20,3,5,634,1,1 +10879,muhammad altaf,muhammad,altaf,2013-12-23,Male,1966-04-22,49,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-22 03:16:48,2013-12-23 04:13:00,13017629CF10A,2013-12-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-22,2013-12-23,0,0,830,0,0 +10880,jeanne allen,jeanne,allen,2013-09-16,Female,1979-05-15,36,25 - 45,Other,0,1,0,0,1,-1,2013-09-15 12:56:55,2013-09-16 09:34:51,13017576MM10A,2013-09-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-09-15,2013-09-16,1,0,928,0,0 +10881,nelson miranda,nelson,miranda,2014-05-20,Male,1979-11-18,36,25 - 45,Hispanic,1,10,0,0,20,-222,2013-10-10 12:21:39,2014-05-20 10:33:29,13015562CF10A,,2013-11-21,180,F,arrest case no charge,1,14009941CF10A,(F3),,2014-06-21,Driving While License Revoked,,,,0,,,,,Risk of Recidivism,10,High,2014-05-20,Risk of Violence,9,High,2014-05-20,2013-10-10,2014-05-20,20,0,32,1,1 +10882,adrian harper,adrian,harper,2014-01-13,Female,1992-02-18,24,Less than 25,Caucasian,0,4,0,0,1,-3,2014-01-10 05:37:54,2014-01-13 11:49:39,14000458CF10A,2014-01-10,,3,F,Burglary Structure Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-13,Risk of Violence,4,Low,2014-01-13,2014-01-10,2014-01-13,1,0,809,0,0 +10883,utwain davis,utwain,davis,2013-05-28,Male,1985-08-27,30,25 - 45,African-American,0,4,0,0,3,-1,2013-05-27 08:36:19,2013-05-29 10:38:42,13007563CF10A,2013-05-27,,1,F,Resist Officer w/Violence,1,14008733TC10A,(M1),169,2014-01-12,Opert With Susp DL 2nd Offens,2014-06-30,2014-07-13,,0,,,,,Risk of Recidivism,4,Low,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-27,2013-05-29,3,1,229,1,1 +10884,michael russo,michael,russo,2013-02-01,Male,1988-03-16,28,25 - 45,Caucasian,0,6,0,0,11,-1,2013-01-31 06:11:58,2013-02-01 08:36:46,13001560CF10A,,2013-01-31,1,F,arrest case no charge,1,15004516MM40A,(M2),,2015-11-22,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-01,Risk of Violence,5,Medium,2013-02-01,2013-01-31,2013-02-01,11,0,1024,1,0 +10885,euridice mullen,euridice,mullen,2013-08-13,Female,1966-02-27,50,Greater than 45,Hispanic,0,3,0,0,1,-1,2013-08-12 08:50:17,2013-08-13 02:06:08,13011324CF10A,2013-08-12,,1,F,Battery on a Person Over 65,1,13003430MM40A,(M2),,2013-08-25,Petit Theft,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2013-08-12,2013-08-13,1,0,12,1,1 +10886,huey hodges,huey,hodges,2014-03-04,Female,1976-10-29,39,25 - 45,African-American,0,7,0,0,1,-1,2014-03-03 07:26:40,2014-03-06 04:37:40,14003015CF10A,,2014-03-03,1,F,arrest case no charge,1,15001019CF10A,(F3),0,2015-01-22,Tampering With Physical Evidence,2015-01-22,2015-05-19,,0,,,,,Risk of Recidivism,7,Medium,2014-03-04,Risk of Violence,2,Low,2014-03-04,2015-01-22,2015-05-19,1,2,324,1,1 +10888,kemisha douglas,kemisha,douglas,2014-05-23,Female,1989-12-19,26,25 - 45,African-American,0,8,0,0,4,-1,2014-05-22 04:00:39,2014-05-23 01:52:25,14008779CF10A,2014-05-22,,1,F,Felony Battery,1,15007820CF10A,(M1),0,2015-05-08,Possess Cannabis/20 Grams Or Less,2015-05-08,2015-05-15,,1,15007820CF10A,(F3),2015-05-08,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2014-05-23,Risk of Violence,4,Low,2014-05-23,2015-05-08,2015-05-15,4,0,350,1,1 +10889,jerry brown,jerry,brown,2013-02-15,Male,1959-10-30,56,Greater than 45,African-American,0,7,0,0,4,-1,2013-02-14 07:01:45,2013-03-03 04:41:34,13002318CF10A,2013-02-14,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-15,Risk of Violence,4,Low,2013-02-15,2013-02-14,2013-03-03,4,16,1141,0,0 +10893,mark galavotti,mark,galavotti,2013-03-15,Male,1957-10-18,58,Greater than 45,Caucasian,0,2,0,0,8,-1,2013-03-14 03:26:36,2013-03-15 06:34:03,13003759CF10A,2013-03-14,,1,M,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2013-03-14,2013-03-15,8,0,1113,0,0 +10894,kevin williams,kevin,williams,2014-02-14,Male,1982-04-24,33,25 - 45,African-American,0,4,0,0,3,0,2014-02-14 04:44:55,2014-02-14 08:28:11,14002138CF10A,2014-02-14,,0,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-14,Risk of Violence,4,Low,2014-02-14,2014-02-14,2014-02-14,3,0,777,0,0 +10895,sheena murphy,sheena,murphy,2013-04-24,Female,1984-07-04,31,25 - 45,African-American,0,8,0,0,9,-1,2013-04-23 09:36:47,2013-04-24 01:57:12,13005848CF10A,2013-04-23,,1,F,Grand Theft in the 3rd Degree,1,13015952CF10A,(F3),0,2013-11-16,Grand Theft in the 3rd Degree,2013-11-16,2013-11-17,,0,,,,,Risk of Recidivism,8,High,2013-04-24,Risk of Violence,2,Low,2013-04-24,2013-11-16,2013-11-17,9,0,206,1,1 +10896,lloyd brown,lloyd,brown,2013-04-25,Male,1980-11-24,35,25 - 45,African-American,0,6,0,0,18,-112,2013-01-03 02:16:26,2013-04-25 11:11:34,12017258CF10A,,2013-01-11,104,F,arrest case no charge,1,13028018TC10A,(M2),,2013-05-23,Posses/Disply Susp/Revk/Frd DL,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-25,Risk of Violence,6,Medium,2013-04-25,2015-05-05,2020-01-01,18,0,28,1,1 +10897,adam schult,adam,schult,2013-04-15,Male,1990-05-20,25,25 - 45,Caucasian,4,8,0,0,5,-1,2013-04-14 07:01:35,2013-04-24 07:08:21,13007177MM10A,2013-04-14,,1,M,Resist/Obstruct W/O Violence,1,15007528CF10A,(F2),,2015-04-27,Agg Fleeing/Eluding High Speed,,,,1,15007528CF10A,(F2),2015-04-27,Agg Fleeing/Eluding High Speed,Risk of Recidivism,8,High,2013-04-15,Risk of Violence,7,Medium,2013-04-15,2013-04-14,2013-04-24,5,9,742,1,0 +10899,thomas blankenship,thomas,blankenship,2014-08-15,Male,1990-07-16,25,25 - 45,Caucasian,0,5,0,0,7,-4,2014-08-11 05:50:55,2014-08-14 09:05:30,14012107MM10A,2014-08-11,,4,M,Trespass Struct/Conveyance,1,14013412CF10A,(M1),1,2014-10-04,Possess Drug Paraphernalia,2014-10-05,2014-11-17,,0,,,,,Risk of Recidivism,5,Medium,2014-08-15,Risk of Violence,5,Medium,2014-08-15,2014-10-05,2014-11-17,7,0,50,1,1 +10900,stanley givens,stanley,givens,2014-02-19,Male,1992-10-01,23,Less than 25,African-American,0,2,0,1,0,,,,14002360CF10A,2014-02-19,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-19,Risk of Violence,3,Low,2014-02-19,,,0,0,772,0,0 +10903,quincy charles,quincy,charles,2014-06-17,Male,1995-06-07,20,Less than 25,African-American,0,10,0,1,1,-1,2014-06-16 06:35:11,2014-10-03 07:02:27,14008325CF10A,2014-06-16,,1,F,Burglary Unoccupied Dwelling,1,16000911CF10A,(M1),0,2016-01-22,Possess Cannabis/20 Grams Or Less,2016-01-22,2016-03-08,,0,,,,,Risk of Recidivism,10,High,2014-06-17,Risk of Violence,10,High,2014-06-17,2014-12-04,2015-04-01,1,108,170,0,1 +10907,dominique akins,dominique,akins,2014-01-17,Female,1986-04-13,30,25 - 45,Caucasian,0,5,0,0,3,0,2014-01-17 04:30:08,2014-01-18 03:33:37,14000768CF10A,2014-01-17,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-17,Risk of Violence,2,Low,2014-01-17,2014-01-17,2014-01-18,3,1,805,0,0 +10909,kenneth riker,kenneth,riker,2014-07-22,Male,1987-04-16,29,25 - 45,Caucasian,0,10,0,2,14,0,2014-07-22 06:45:28,2014-07-22 08:24:41,14009985CF10A,2014-07-22,,0,F,Grand Theft (Motor Vehicle),1,14014095MM10A,(M1),0,2014-09-23,Carrying A Concealed Weapon,2014-09-23,2014-10-02,,0,,,,,Risk of Recidivism,10,High,2014-07-22,Risk of Violence,10,High,2014-07-22,2014-08-27,2014-09-09,14,0,36,0,1 +10910,norberto nieves,norberto,nieves,2013-09-22,Male,1985-01-19,31,25 - 45,Hispanic,0,6,0,0,1,-1,2013-09-21 07:38:34,2014-01-16 12:08:33,13018017MM10A,2013-09-21,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-22,Risk of Violence,5,Medium,2013-09-22,2013-09-21,2014-01-16,1,116,922,0,0 +10911,gary balmer,gary,balmer,2013-08-22,Male,1976-07-15,39,25 - 45,Caucasian,0,4,0,0,5,-60,2013-06-23 02:23:40,2013-06-24 08:43:12,13012010MM10A,2013-06-23,,60,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-22,Risk of Violence,3,Low,2013-08-22,2013-06-23,2013-06-24,5,0,953,0,0 +10913,miguelson pericles,miguelson,pericles,2013-05-13,Male,1994-07-18,21,Less than 25,African-American,0,7,0,0,0,0,2013-05-13 02:38:51,2013-05-13 07:19:19,13006834CF10A,2013-05-13,,0,F,Poss F/Arm Delinq,1,13028844TC10A,(M2),,2013-07-02,Operating W/O Valid License,,,,1,13010999CF10A,(F3),2013-08-06,Attempted Robbery No Weapon,Risk of Recidivism,7,Medium,2013-05-13,Risk of Violence,7,Medium,2013-05-13,2015-10-26,2015-12-02,0,0,50,1,1 +10914,donald holton,donald,holton,2013-12-30,Male,1969-09-03,46,Greater than 45,African-American,0,5,0,0,13,-40,2013-11-20 04:31:32,2013-12-11 11:56:55,13016204CF10A,,2013-11-20,40,F,arrest case no charge,1,14060465TC20A,(M2),,2014-08-23,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-30,Risk of Violence,3,Low,2013-12-30,2013-11-20,2013-12-11,13,0,236,1,1 +10917,darrell miller,darrell,miller,2014-12-24,Male,1972-03-29,44,25 - 45,African-American,0,5,0,1,11,-1,2014-12-23 05:13:16,2014-12-24 09:02:38,14011986CF10A,,2014-12-23,1,F,arrest case no charge,1,15000602CF10A,(F2),0,2015-01-14,Strong Armed Robbery,2015-01-14,2015-10-08,,1,15000602CF10A,(F7),2015-01-14,Burglary Dwelling Assault/Batt,Risk of Recidivism,5,Medium,2014-12-24,Risk of Violence,3,Low,2014-12-24,2015-01-14,2015-10-08,11,0,21,1,1 +10918,curtis woolwine,curtis,woolwine,2014-01-23,Male,1986-04-09,30,25 - 45,Caucasian,0,3,0,0,2,-1,2014-01-22 08:24:04,2014-03-26 09:45:11,12010890CF10A,,2014-01-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-22,2014-03-26,2,62,799,0,0 +10919,wilensky saintil,wilensky,saintil,2014-01-02,Male,1980-04-30,35,25 - 45,African-American,0,6,0,1,12,0,2014-01-02 01:12:50,2014-01-03 11:08:07,14000088MM10A,2014-01-01,,1,M,Battery,1,14000496CF10A,(F3),0,2014-01-11,Grand Theft in the 3rd Degree,2014-01-11,2014-01-22,,0,,,,,Risk of Recidivism,6,Medium,2014-01-02,Risk of Violence,3,Low,2014-01-02,2014-01-11,2014-01-22,12,1,9,1,1 +10920,bradley ecklund,bradley,ecklund,2013-01-11,Male,1981-06-23,34,25 - 45,Caucasian,0,5,0,0,4,0,2013-01-11 01:39:37,2013-01-12 03:08:33,13000503CF10A,2013-01-10,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-11,Risk of Violence,5,Medium,2013-01-11,2015-07-23,2015-07-23,4,1,923,0,0 +10921,gabriele lubin,gabriele,lubin,2013-04-16,Male,1990-03-27,26,25 - 45,African-American,0,2,0,0,2,-1,2013-04-15 06:36:52,2013-04-16 01:55:52,12019369TC10A,2012-04-08,,373,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-16,Risk of Violence,3,Low,2013-04-16,2013-04-15,2013-04-16,2,0,1081,0,0 +10922,sixto durand,sixto,durand,2014-01-30,Male,1964-09-05,51,Greater than 45,Caucasian,0,1,0,0,4,-26,2014-01-04 08:25:00,2014-01-05 01:49:50,14000165MM10A,2014-01-04,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-30,Risk of Violence,1,Low,2014-01-30,2014-01-04,2014-01-05,4,0,792,0,0 +10924,prasada solomon,prasada,solomon,2014-02-09,Male,1980-02-16,36,25 - 45,African-American,0,2,0,0,0,-1,2014-02-08 07:50:02,2014-02-11 06:47:00,14005069MU10A,2014-02-08,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-09,Risk of Violence,1,Low,2014-02-09,2014-02-08,2014-02-11,0,2,782,0,0 +10925,john mazmanian,john,mazmanian,2013-05-15,Male,1989-11-05,26,25 - 45,Caucasian,0,2,0,0,3,-1,2013-05-14 11:40:58,2013-05-15 07:20:45,13020309TC10A,2013-05-14,,1,M,Susp Drivers Lic 1st Offense,1,14008135TC10A,(M2),,2013-12-14,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,2,Low,2013-05-15,2014-02-11,2014-02-13,3,0,213,1,1 +10927,devin richardson,devin,richardson,2013-03-19,Male,1994-08-25,21,Less than 25,African-American,0,6,0,0,1,-1,2013-03-18 06:47:56,2013-04-17 05:52:36,13003944CF10A,2013-03-18,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-19,Risk of Violence,5,Medium,2013-03-19,2013-03-18,2013-04-17,1,29,1109,0,0 +10928,leevon cruse,leevon,cruse,2013-02-09,Male,1956-06-13,59,Greater than 45,African-American,0,5,0,0,5,0,2013-02-09 08:15:34,2013-07-10 12:55:41,07003637MO10A,2007-02-15,,2186,M,Alcoholic Beverage Violation-FL,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-09,Risk of Violence,3,Low,2013-02-09,2015-07-08,2015-07-14,5,151,879,0,0 +10930,jatez blount,jatez,blount,2013-08-10,Male,1986-10-24,29,25 - 45,African-American,0,7,2,0,7,-1,2013-08-09 01:17:51,2013-08-13 01:37:20,13011193CF10A,2013-08-08,,2,F,Attempted Deliv Control Subst,1,13015424CF10A,(F3),0,2013-11-05,Possession of Cocaine,2013-11-05,2014-07-08,,0,,,,,Risk of Recidivism,7,Medium,2013-08-10,Risk of Violence,6,Medium,2013-08-10,2013-11-05,2014-07-08,7,3,87,1,1 +10931,bryan torres,bryan,torres,2013-10-21,Male,1988-02-25,28,25 - 45,Hispanic,0,3,0,0,1,-1,2013-10-20 11:40:38,2013-10-21 02:31:56,13014675CF10A,2013-10-20,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-21,Risk of Violence,2,Low,2013-10-21,2013-10-20,2013-10-21,1,0,893,0,0 +10932,jason reid,jason,reid,2013-03-30,Male,1978-05-26,37,25 - 45,African-American,0,3,0,0,4,-1,2013-03-29 01:17:49,2013-03-30 08:27:14,13004546CF10A,2013-03-29,,1,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,2,Low,2013-03-30,2013-03-29,2013-03-30,4,0,1098,0,0 +10934,ismael ramos,ismael,ramos,2013-01-25,Male,1974-12-02,41,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-25 05:56:04,2013-01-25 07:46:25,13001848MM10A,2013-01-25,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-25,Risk of Violence,1,Low,2013-01-25,2013-01-25,2013-01-25,0,0,1162,0,0 +10935,joan rosario,joan,rosario,2013-04-15,Male,1984-08-13,31,25 - 45,Hispanic,1,9,0,0,7,-1,2013-04-14 01:01:47,2013-04-15 03:46:11,13015938TC10A,2013-04-14,,1,M,Susp Drivers Lic 1st Offense,1,14013415CF10A,(F3),0,2014-10-05,Driving While License Revoked,2014-10-05,2014-10-06,,0,,,,,Risk of Recidivism,9,High,2013-04-15,Risk of Violence,5,Medium,2013-04-15,2014-10-05,2014-10-06,7,0,538,1,1 +10936,breon perry,breon,perry,2013-11-13,Male,1993-04-18,23,Less than 25,African-American,0,6,0,0,0,-1,2013-11-12 04:56:48,2013-11-14 02:50:06,13015729CF10A,2013-11-12,,1,F,Burglary Conveyance Unoccup,1,14006802MM10A,(M1),0,2014-04-23,Resist/Obstruct W/O Violence,2014-04-23,2014-04-28,,0,,,,,Risk of Recidivism,6,Medium,2013-11-13,Risk of Violence,5,Medium,2013-11-13,2014-04-23,2014-04-28,0,1,161,1,1 +10939,katherine cambareri,katherine,cambareri,2013-06-25,Female,1962-02-04,54,Greater than 45,Caucasian,0,1,0,0,1,-2,2013-06-23 08:13:05,2013-06-24 08:15:59,13012008MM10A,2013-06-23,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-25,Risk of Violence,1,Low,2013-06-25,2013-06-23,2013-06-24,1,0,1011,0,0 +10940,jonathan cruz,jonathan,cruz,2014-02-09,Male,1986-03-10,30,25 - 45,Caucasian,0,9,0,0,2,-1,2014-02-08 06:04:28,2014-02-14 06:14:23,14002208MM10A,2014-02-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-09,Risk of Violence,7,Medium,2014-02-09,2014-02-08,2014-02-14,2,5,782,0,0 +10941,georbel gonzalez-rodriguez,georbel,gonzalez-rodriguez,2013-03-30,Male,1987-12-22,28,25 - 45,Caucasian,0,4,0,0,0,-1,2013-03-29 04:43:06,2013-03-30 08:21:07,13006091MM10A,2013-03-29,,1,M,Battery,1,13011202MM10A,(M1),0,2013-05-10,Battery,2013-05-10,2013-05-10,,1,13006734CF10A,(F3),2013-05-10,Aggravated Assault W/dead Weap,Risk of Recidivism,4,Low,2013-03-30,Risk of Violence,3,Low,2013-03-30,2013-05-10,2013-05-10,0,0,41,0,1 +10942,khameron walls,khameron,walls,2013-01-21,Male,1994-02-14,22,Less than 25,African-American,0,5,0,0,0,-1,2013-01-20 04:48:05,2013-01-22 08:48:56,13001376MM10A,2013-01-20,,1,M,Battery,1,15002228MM10A,(M1),0,2015-02-23,Trespass After Warning,2015-02-23,2015-02-24,,0,,,,,Risk of Recidivism,5,Medium,2013-01-21,Risk of Violence,7,Medium,2013-01-21,2015-02-23,2015-02-24,0,1,763,1,0 +10945,michael bryant,michael,bryant,2013-04-13,Male,1994-07-29,21,Less than 25,African-American,0,8,0,0,0,-1,2013-04-12 05:11:48,2013-04-13 11:10:09,13005290CF10A,2013-04-12,,1,F,Grand Theft in the 3rd Degree,1,14011209TC30A,(M2),,2014-01-19,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-04-13,Risk of Violence,7,Medium,2013-04-13,2015-07-22,2015-07-23,0,0,281,1,1 +10946,rachard guide,rachard,guide,2013-05-05,Male,1988-11-05,27,25 - 45,African-American,0,5,0,2,1,-1,2013-05-04 07:48:46,2013-05-20 08:17:45,13008645MM10A,2013-05-04,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-05,Risk of Violence,8,High,2013-05-05,2013-05-04,2013-05-20,1,15,1062,0,0 +10947,rudolph young,rudolph,young,2013-05-20,Male,1955-01-02,61,Greater than 45,African-American,0,9,0,0,4,-1,2013-05-19 06:28:36,2013-05-22 05:48:25,10008587MO10A,2010-02-27,,1178,M,Alcoholic Beverage Violation-FL,1,13035683TC20A,(M2),,2013-06-03,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-05-20,Risk of Violence,3,Low,2013-05-20,2013-05-19,2013-05-22,4,2,14,1,1 +10948,anthony lupo,anthony,lupo,2013-12-05,Male,1964-07-04,51,Greater than 45,Caucasian,0,3,0,0,7,35,2014-01-09 01:09:05,2014-01-09 08:58:14,13016789CF10A,2013-10-04,,62,F,Tamper With Witness,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2014-01-09,2014-01-09,7,0,35,0,0 +10949,eugene farris,eugene,farris,2014-08-11,Male,1997-01-14,19,Less than 25,African-American,1,9,0,0,1,578,2016-03-11 10:26:16,2016-03-12 01:11:40,14009978CF10A,2014-06-13,,59,F,Grand Theft in the 3rd Degree,1,16000849CF10A,(F3),106,2015-11-26,Grand Theft (Motor Vehicle),2016-03-11,2016-03-12,,0,,,,,Risk of Recidivism,9,High,2014-08-11,Risk of Violence,9,High,2014-08-11,2016-03-11,2016-03-12,1,0,472,1,1 +10950,george dungan,george,dungan,2014-05-12,Male,1956-01-11,60,Greater than 45,Caucasian,0,1,0,0,0,-7,2014-05-05 07:49:54,2014-05-08 09:32:19,14007445MM10A,2014-05-05,,7,M,Petit Theft $100- $300,1,14011838CF10A,(M2),1,2014-08-29,Prostitution/Lewd Act Assignation,2014-08-30,2014-10-18,,0,,,,,Risk of Recidivism,1,Low,2014-05-12,Risk of Violence,1,Low,2014-05-12,2015-05-12,2015-05-27,0,0,109,1,1 +10951,ronald munoz,ronald,munoz,2013-04-30,Male,1993-10-18,22,Less than 25,Hispanic,0,3,0,1,0,-1,2013-04-29 09:03:27,2013-04-30 01:01:44,13008303MM10A,2013-04-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-30,Risk of Violence,5,Medium,2013-04-30,2013-04-29,2013-04-30,0,0,1067,0,0 +10952,robert sepulveda,robert,sepulveda,2013-04-09,Male,1982-02-26,34,25 - 45,Caucasian,0,2,0,0,1,-50,2013-02-18 10:13:07,2013-02-19 09:17:41,13002475CF10A,2013-02-18,,50,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-02-18,2013-02-19,1,0,1088,0,0 +10954,miguel cruz,miguel,cruz,2013-09-11,Female,1993-12-22,22,Less than 25,Caucasian,0,7,0,0,1,-1,2013-09-10 10:34:03,2013-09-11 02:00:32,13012786CF10A,2013-09-10,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-11,Risk of Violence,6,Medium,2013-09-11,2014-10-02,2015-01-26,1,0,386,0,0 +10955,patricia cooke,patricia,cooke,2013-04-06,Female,1967-01-31,49,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-04-05 11:37:54,2013-04-06 01:30:26,13004903CF10A,2013-04-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-06,Risk of Violence,1,Low,2013-04-06,2013-04-05,2013-04-06,3,0,1091,0,0 +10956,linda dawson,linda,dawson,2013-01-26,Female,1955-01-19,61,Greater than 45,Caucasian,0,1,0,0,1,0,2013-01-26 12:29:59,2013-01-26 08:38:29,13001823MM10A,2013-01-25,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-26,Risk of Violence,1,Low,2013-01-26,2013-01-26,2013-01-26,1,0,1161,0,0 +10957,kevin brown,kevin,brown,2014-11-24,Male,1965-02-17,51,Greater than 45,African-American,0,6,0,0,7,-1,2014-11-23 05:30:52,2014-11-26 08:33:05,14042761MU10A,2014-11-23,,1,M,Driving Under The Influence,1,15001039TC40A,(M2),,2014-12-27,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2014-11-24,Risk of Violence,3,Low,2014-11-24,2014-11-23,2014-11-26,7,2,33,1,1 +10958,edna lewis,edna,lewis,2014-03-09,Female,1967-01-20,49,Greater than 45,Caucasian,0,6,0,0,2,-1,2014-03-08 06:20:31,2014-03-19 01:28:37,14003305CF10A,2014-03-08,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-09,Risk of Violence,1,Low,2014-03-09,2014-03-08,2014-03-19,2,10,754,0,0 +10960,charneshia ellison,charneshia,ellison,2014-12-11,Female,1991-05-06,24,Less than 25,African-American,0,6,0,0,0,0,2014-12-11 04:44:12,2014-12-11 08:38:53,14016462CF10A,2014-12-11,,0,F,Possession of XLR11,1,15000436TC30A,(M2),50,2014-12-23,Fail Register Vehicle,2015-02-11,2015-02-11,,0,,,,,Risk of Recidivism,6,Medium,2014-12-11,Risk of Violence,3,Low,2014-12-11,2015-06-29,2015-06-30,0,0,12,1,1 +10962,yolani moratz,yolani,moratz,2013-08-08,Female,1979-11-05,36,25 - 45,Caucasian,0,6,0,0,4,-10,2013-07-29 05:40:09,2013-07-31 09:36:16,13014353MM10A,2013-07-29,,10,M,Battery,1,15005832CF10A,(F3),0,2015-05-04,Driving While License Revoked,2015-05-04,2015-05-28,,0,,,,,Risk of Recidivism,6,Medium,2013-08-08,Risk of Violence,3,Low,2013-08-08,2014-01-29,2014-01-30,4,0,174,0,1 +10963,paul wyatt,paul,wyatt,2013-11-06,Male,1973-09-19,42,25 - 45,Caucasian,0,4,0,0,5,-1,2013-11-05 08:48:20,2013-12-06 11:30:35,13015432CF10A,,2013-11-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-06,Risk of Violence,2,Low,2013-11-06,2013-11-05,2013-12-06,5,30,877,0,0 +10964,terrence brown,terrence,brown,2013-02-23,Male,1979-06-08,36,25 - 45,African-American,0,4,0,0,9,-1,2013-02-22 08:41:18,2013-04-21 02:27:19,13002736CF10A,2013-02-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-23,Risk of Violence,2,Low,2013-02-23,2013-02-22,2013-04-21,9,57,1133,0,0 +10965,anthony fields,anthony,fields,2013-03-13,Male,1959-02-20,57,Greater than 45,Caucasian,0,4,0,0,14,-28,2013-02-13 12:13:11,2013-03-05 09:58:38,12015342CF10A,,2013-02-12,29,F,arrest case no charge,1,13010742CF10A,(F3),0,2013-08-01,Possession of Cocaine,2013-08-01,2013-10-29,,0,,,,,Risk of Recidivism,4,Low,2013-03-13,Risk of Violence,2,Low,2013-03-13,2013-08-01,2013-10-29,14,0,141,1,1 +10966,shameel koya,shameel,koya,2013-03-04,Male,1979-10-12,36,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-03 10:17:13,2013-03-04 08:33:46,13004323MM10A,2013-03-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-03,2013-03-04,0,0,1124,0,0 +10967,george bedward,george,bedward,2014-05-31,Male,1981-05-26,34,25 - 45,African-American,0,2,0,0,3,-1,2014-05-30 06:52:01,2014-06-01 12:19:34,14008668MM10A,2014-05-30,,1,M,Disorderly Conduct,1,15066701TC30A,(M2),,2015-10-03,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2014-05-31,Risk of Violence,2,Low,2014-05-31,2014-05-30,2014-06-01,3,1,490,1,1 +10969,eric sparks,eric,sparks,2013-01-11,Male,1991-07-13,24,Less than 25,African-American,0,3,0,0,2,-1,2013-01-10 09:02:17,2013-02-12 09:16:30,13002115TC10A,,2013-01-11,0,M,arrest case no charge,1,14009468CF10A,(F3),0,2014-07-10,False Imprisonment,2014-07-10,2014-11-18,,1,14009468CF10A,(F2),2014-07-10,Agg Battery Grt/Bod/Harm,Risk of Recidivism,3,Low,2013-01-11,Risk of Violence,4,Low,2013-01-11,2013-07-09,2013-07-16,2,32,179,0,1 +10971,eugene drogus,eugene,drogus,2014-01-07,Male,1948-10-17,67,Greater than 45,Caucasian,0,2,0,0,2,-244,2013-05-08 10:06:56,2013-06-05 10:30:00,08023125CF10A,,2013-05-08,244,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2013-05-08,2013-06-05,2,0,815,0,0 +10972,matt munoz,matt,munoz,2013-09-12,Male,1984-03-22,32,25 - 45,Caucasian,0,2,0,0,0,-1,2013-09-11 08:56:37,2013-09-12 07:30:00,13012859CF10A,2013-09-11,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-12,0,0,932,0,0 +10975,warren aiken,warren,aiken,2013-09-05,Male,1990-09-30,25,25 - 45,African-American,0,2,0,0,1,-14,2013-08-22 09:32:29,2013-08-31 06:13:28,13011827CF10A,2013-08-22,,14,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2016-01-22,2016-01-22,1,0,869,0,0 +10976,arleen martin,arleen,martin,2014-12-19,Female,1985-08-14,30,25 - 45,Caucasian,0,1,0,0,2,0,2014-12-19 04:46:47,2014-12-20 08:52:23,14017860MM10A,2014-12-19,,0,M,Battery,1,15015652CF10A,(F3),1,2015-12-05,Felony Battery (Dom Strang),2015-12-06,2015-12-07,,1,15015652CF10A,(F3),2015-12-05,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2014-12-19,Risk of Violence,1,Low,2014-12-19,2014-12-19,2014-12-20,2,1,351,1,1 +10977,adrian williams,adrian,williams,2013-09-18,Male,1981-03-09,35,25 - 45,African-American,0,7,0,0,8,0,2013-09-18 04:19:18,2013-11-19 06:13:00,13017778MM10A,2013-09-18,,0,M,Battery,1,14040107TC10A,(M2),175,2014-10-16,Driving License Suspended,2015-04-09,2015-04-10,,0,,,,,Risk of Recidivism,7,Medium,2013-09-18,Risk of Violence,4,Low,2013-09-18,2013-09-18,2013-11-19,8,62,393,1,1 +10979,angelita diaz,angelita,diaz,2013-09-06,Male,1972-07-19,43,25 - 45,African-American,0,1,0,0,0,-1,2013-09-05 05:04:14,2013-09-06 06:09:14,13016969MM10A,2013-09-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-05,2013-09-06,0,0,938,0,0 +10980,jarvis yates,jarvis,yates,2014-02-27,Male,1987-08-27,28,25 - 45,African-American,0,2,0,0,1,-1,2014-02-26 10:21:54,2014-02-27 08:12:01,14002743CF10A,,2014-02-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-27,Risk of Violence,2,Low,2014-02-27,2014-02-26,2014-02-27,1,0,764,0,0 +10981,orett harrison,orett,harrison,2013-12-25,Male,1984-03-31,32,25 - 45,African-American,0,5,0,0,4,-1,2013-12-24 08:35:19,2013-12-25 07:10:52,13017770CF10A,2013-12-24,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-25,Risk of Violence,3,Low,2013-12-25,2015-10-09,2015-10-10,4,0,653,0,0 +10982,austin harris,austin,harris,2013-10-01,Male,1992-07-07,23,Less than 25,Caucasian,0,8,0,0,0,-1,2013-09-30 10:10:28,2013-10-03 07:24:16,13013703CF10A,2013-09-30,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-01,Risk of Violence,6,Medium,2013-10-01,2013-09-30,2013-10-03,0,2,913,0,0 +10984,shantrina stfort,shantrina,stfort,2013-11-05,Female,1995-06-06,20,Less than 25,African-American,0,7,0,0,0,-1,2013-11-04 11:13:31,2013-11-09 09:07:40,13020810MM10A,2013-11-04,,1,M,Battery,1,13020810MM10A,(M2),,2013-11-27,Criminal Mischief,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-05,Risk of Violence,7,Medium,2013-11-05,2013-11-04,2013-11-09,0,4,22,1,1 +10985,kyle miller,kyle,miller,2014-01-22,Male,1986-04-08,30,25 - 45,African-American,0,10,1,0,19,0,2014-01-22 02:45:28,2014-01-31 09:04:40,14000909CF10A,2014-01-21,,1,F,Possession of Cocaine,1,14024174TC10A,(M2),,2014-06-15,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,10,High,2014-01-22,Risk of Violence,7,Medium,2014-01-22,2014-01-22,2014-01-31,19,9,144,1,1 +10987,ceasar gomez,ceasar,gomez,2013-03-31,Male,1990-02-07,26,25 - 45,Hispanic,0,2,0,0,0,0,2013-03-31 02:52:44,2013-09-20 10:30:37,13004619CF10A,2013-03-31,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-31,Risk of Violence,3,Low,2013-03-31,2014-02-16,2014-02-27,0,173,322,0,0 +10988,luis fernandez,luis,fernandez,2013-10-27,Male,1971-09-19,44,25 - 45,Hispanic,0,3,0,0,0,-1,2013-10-26 08:09:42,2013-10-27 08:21:36,13014982CF10A,2013-10-26,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-27,Risk of Violence,1,Low,2013-10-27,2013-10-26,2013-10-27,0,0,887,0,0 +10989,rodney montgomery,rodney,montgomery,2013-12-28,Male,1985-09-28,30,25 - 45,African-American,0,4,0,0,2,-1,2013-12-27 09:29:12,2014-01-02 06:27:38,13023885MM10A,2013-12-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-28,Risk of Violence,3,Low,2013-12-28,2013-12-27,2014-01-02,2,5,825,0,0 +10990,christopher tun,christopher,tun,2013-05-28,Male,1992-04-28,23,Less than 25,Caucasian,0,10,2,1,5,52,2013-07-19 11:56:18,2013-08-01 05:43:19,11000491MM30A,,2013-01-06,142,M,arrest case no charge,1,15002327MM10A,(M2),0,2014-11-16,Assault,2014-11-16,2015-03-06,,1,15002327MM10A,(M2),2014-11-16,Assault,Risk of Recidivism,10,High,2013-05-28,Risk of Violence,9,High,2013-05-28,2013-07-19,2013-08-01,5,0,52,0,1 +10992,alexander vega,alexander,vega,2013-05-10,Male,1994-07-15,21,Less than 25,Caucasian,0,6,0,0,0,-1,2013-05-09 04:06:12,2013-05-12 07:12:14,13006688CF10A,2013-05-09,,1,M,Grand Theft (Motor Vehicle),1,15000662MM20A,(M1),,2015-02-23,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-10,Risk of Violence,7,Medium,2013-05-10,2013-05-09,2013-05-12,0,2,654,1,1 +10994,jarred payne,jarred,payne,2014-05-10,Male,1985-07-31,30,25 - 45,African-American,0,2,0,0,0,-1,2014-05-09 10:01:33,2014-05-10 08:28:12,14006477CF10A,2014-05-09,,1,M,Possess Cannabis/20 Grams Or Less,1,15013710CF10A,(F3),1,2015-10-21,Possession of Cannabis,2015-10-22,2015-10-22,,0,,,,,Risk of Recidivism,2,Low,2014-05-10,Risk of Violence,2,Low,2014-05-10,2015-10-22,2015-10-22,0,0,529,1,1 +10995,raheem smith,raheem,smith,2013-10-20,Male,1995-06-28,20,Less than 25,African-American,0,9,0,0,0,-1,2013-10-19 11:17:15,2013-10-20 08:13:06,13014650CF10A,2013-10-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-20,Risk of Violence,9,High,2013-10-20,2014-04-07,2014-04-27,0,0,169,0,0 +10996,steven butler,steven,butler,2013-11-23,Male,1992-07-17,23,Less than 25,African-American,0,7,0,0,0,-1,2013-11-22 05:18:27,2013-11-24 02:59:20,13016249CF10A,2013-11-22,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-23,Risk of Violence,5,Medium,2013-11-23,2013-11-22,2013-11-24,0,1,860,0,0 +10997,malcolm simmons,malcolm,simmons,2014-02-01,Male,1993-03-25,23,Less than 25,African-American,0,3,0,0,0,-1,2014-01-31 07:13:54,2014-02-02 04:03:52,14001422CF10A,2014-01-31,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-01,Risk of Violence,5,Medium,2014-02-01,2014-01-31,2014-02-02,0,1,790,0,0 +10999,winston gregory,winston,gregory,2014-01-14,Male,1958-10-01,57,Greater than 45,Other,0,1,0,0,0,-1,2014-01-13 05:48:01,2014-01-14 07:49:46,14000581CF10A,2014-01-13,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-13,2014-01-14,0,0,808,0,0 +11000,farrah jean,farrah,jean,2014-03-09,Female,1982-11-17,33,25 - 45,African-American,0,2,0,0,3,-1,2014-03-08 08:06:02,2014-03-09 12:18:04,14003308CF10A,2014-03-08,,1,M,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-09,Risk of Violence,2,Low,2014-03-09,2014-03-08,2014-03-09,3,0,754,0,0 +11001,florencia sanmartin,florencia,sanmartin,2014-06-30,Female,1992-12-18,23,Less than 25,Hispanic,0,4,0,0,2,-2,2014-06-28 12:16:41,2014-06-30 11:19:23,14008895CF10A,2014-06-28,,2,F,Possession of Ethylone,1,15008160TC10A,(M2),0,2015-03-15,Operating W/O Valid License,2015-03-15,2015-03-15,,0,,,,,Risk of Recidivism,4,Low,2014-06-30,Risk of Violence,4,Low,2014-06-30,2015-03-15,2015-03-15,2,0,258,0,1 diff --git a/data/baseline_propublica-violent-recidivism.csv b/data/baseline_propublica-violent-recidivism.csv new file mode 100644 index 0000000..7c8fb12 --- /dev/null +++ b/data/baseline_propublica-violent-recidivism.csv @@ -0,0 +1,4744 @@ +id,name,first,last,compas_screening_date,sex,dob,age,age_cat,race,juv_fel_count,decile_score,juv_misd_count,juv_other_count,priors_count,days_b_screening_arrest,c_jail_in,c_jail_out,c_case_number,c_offense_date,c_arrest_date,c_days_from_compas,c_charge_degree,c_charge_desc,is_recid,r_case_number,r_charge_degree,r_days_from_arrest,r_offense_date,r_charge_desc,r_jail_in,r_jail_out,violent_recid,is_violent_recid,vr_case_number,vr_charge_degree,vr_offense_date,vr_charge_desc,type_of_assessment,decile_score,score_text,screening_date,v_type_of_assessment,v_decile_score,v_score_text,v_screening_date,in_custody,out_custody,priors_count,start,end,event,two_year_recid,two_year_recid +1,miguel hernandez,miguel,hernandez,2013-08-14,Male,1947-04-18,69,Greater than 45,Other,0,1,0,0,0,-1,2013-08-13 06:03:42,2013-08-14 05:41:20,13011352CF10A,2013-08-13,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-14,Risk of Violence,1,Low,2013-08-14,2014-07-07,2014-07-14,0,0,327,0,0,0 +3,kevon dixon,kevon,dixon,2013-01-27,Male,1982-01-22,34,25 - 45,African-American,0,3,0,0,0,-1,2013-01-26 03:45:27,2013-02-05 05:36:53,13001275CF10A,2013-01-26,,1,F,Felony Battery w/Prior Convict,1,13009779CF10A,(F3),,2013-07-05,Felony Battery (Dom Strang),,,,1,13009779CF10A,(F3),2013-07-05,Felony Battery (Dom Strang),Risk of Recidivism,3,Low,2013-01-27,Risk of Violence,1,Low,2013-01-27,2013-01-26,2013-02-05,0,9,159,1,1,1 +5,marcu brown,marcu,brown,2013-01-13,Male,1993-01-21,23,Less than 25,African-American,0,8,1,0,1,,,,13000570CF10A,2013-01-12,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-13,Risk of Violence,6,Medium,2013-01-13,,,1,0,1174,0,0,0 +6,bouthy pierrelouis,bouthy,pierrelouis,2013-03-26,Male,1973-01-22,43,25 - 45,Other,0,1,0,0,2,,,,12014130CF10A,,2013-01-09,76,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-26,Risk of Violence,1,Low,2013-03-26,,,2,0,1102,0,0,0 +7,marsha miles,marsha,miles,2013-11-30,Male,1971-08-22,44,25 - 45,Other,0,1,0,0,0,0,2013-11-30 04:50:18,2013-12-01 12:28:56,13022355MM10A,2013-11-30,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-30,Risk of Violence,1,Low,2013-11-30,2013-11-30,2013-12-01,0,1,853,0,0,0 +9,steven stewart,steven,stewart,2013-08-30,Male,1973-02-25,43,25 - 45,Other,0,4,0,0,3,-1,2013-08-29 08:55:23,2013-08-30 08:42:13,13012216CF10A,,2013-08-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-30,Risk of Violence,3,Low,2013-08-30,2014-05-22,2014-06-03,3,0,265,0,0,0 +10,elizabeth thieme,elizabeth,thieme,2014-03-16,Female,1976-06-03,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-15 05:35:34,2014-03-18 04:28:46,14004524MM10A,2014-03-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-18,0,2,747,0,0,0 +13,bo bradac,bo,bradac,2013-11-04,Male,1994-06-10,21,Less than 25,Caucasian,0,3,0,0,1,428,2015-01-06 03:55:34,2015-01-07 03:38:44,13000017CF10A,2012-12-31,,308,F,Insurance Fraud,1,15002891MM10A,(M1),0,2015-01-06,Battery,2015-01-06,2015-01-07,,1,15000258CF10A,(F2),2015-01-06,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,3,Low,2013-11-04,Risk of Violence,5,Medium,2013-11-04,2015-01-06,2015-01-07,1,0,428,1,1,1 +14,benjamin franc,benjamin,franc,2013-11-26,Male,1988-06-01,27,25 - 45,Caucasian,0,4,0,0,0,-1,2013-11-25 06:31:06,2013-11-26 08:26:57,13016402CF10A,2013-11-25,,1,F,"Poss 3,4 MDMA (Ecstasy)",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-26,Risk of Violence,4,Low,2013-11-26,2013-11-25,2013-11-26,0,0,857,0,0,0 +16,kortney coleman,kortney,coleman,2013-01-01,Female,1978-08-22,37,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-01 03:28:03,2013-01-02 01:12:19,13000053MM10A,2013-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-01,Risk of Violence,1,Low,2013-01-01,2013-01-01,2013-01-02,0,1,1186,0,0,0 +18,jarrod turbe,jarrod,turbe,2013-10-09,Male,1974-12-02,41,25 - 45,African-American,0,4,0,0,0,-1,2013-10-08 11:53:09,2013-10-09 02:16:51,13014121CF10A,2013-10-08,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-09,Risk of Violence,2,Low,2013-10-09,2013-10-08,2013-10-09,0,0,905,0,0,0 +21,mario hernandez,mario,hernandez,2014-03-24,Male,1979-01-25,37,25 - 45,Hispanic,0,1,0,0,0,0,2014-03-24 03:20:57,2014-03-24 09:09:10,14005100MM10A,2014-03-24,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-24,Risk of Violence,1,Low,2014-03-24,2014-03-24,2014-03-24,0,0,739,0,0,0 +22,darrious davis,darrious,davis,2013-12-22,Male,1990-06-22,25,25 - 45,African-American,0,10,0,0,3,-1,2013-12-21 05:42:02,2013-12-22 09:11:18,13017598CF10A,2013-12-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-22,Risk of Violence,9,High,2013-12-22,2015-03-30,2015-05-31,3,0,463,0,0,0 +23,neil heckart,neil,heckart,2013-11-17,Male,1984-12-24,31,25 - 45,Caucasian,0,5,0,0,6,-1,2013-11-16 07:12:12,2013-11-17 08:28:54,13015941CF10A,2013-11-16,,1,F,Driving While License Revoked,1,14010409CF10A,(F3),,2014-07-16,Grand Theft in the 3rd Degree,,,,1,14010409CF10A,(F1),2014-07-16,Kidnapping (Facilitate Felony),Risk of Recidivism,5,Medium,2013-11-17,Risk of Violence,4,Low,2013-11-17,2013-11-16,2013-11-17,6,0,241,1,1,1 +28,janel denicola,janel,denicola,2013-11-22,Female,1995-03-22,21,Less than 25,Caucasian,0,4,0,0,0,-2,2013-11-20 04:12:09,2013-11-21 07:53:21,13016112CF10A,2013-11-20,,2,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-22,Risk of Violence,5,Medium,2013-11-22,2013-11-20,2013-11-21,0,0,861,0,0,0 +32,russell sottile,russell,sottile,2013-01-25,Male,1973-01-10,43,25 - 45,Caucasian,0,1,0,0,1,-1,2013-01-24 03:43:22,2013-01-25 09:12:10,13003773TC10A,2013-01-24,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-25,Risk of Violence,2,Low,2013-01-25,2013-01-24,2013-01-25,1,0,1162,0,0,0 +33,andre ashley,andre,ashley,2013-05-11,Male,1983-08-24,32,25 - 45,Other,0,3,0,0,0,-1,2013-05-10 08:38:16,2013-05-12 03:33:36,13009088MM10A,2013-05-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-11,Risk of Violence,4,Low,2013-05-11,2013-05-10,2013-05-12,0,1,1056,0,0,0 +37,deandrae counts,deandrae,counts,2013-05-06,Male,1989-02-08,27,25 - 45,African-American,0,3,0,0,8,-1,2013-05-05 09:07:10,2013-05-22 09:08:22,13006419CF10A,2013-05-05,,1,F,Carrying Concealed Firearm,1,14001039TC10A,(M2),,2013-11-06,Driving License Suspended,,,,1,15002479CF10A,(F3),2015-02-23,Felony Battery,Risk of Recidivism,3,Low,2013-05-06,Risk of Violence,3,Low,2013-05-06,2013-08-30,2013-08-31,8,16,116,0,1,1 +38,victoria soltau,victoria,soltau,2013-03-18,Female,1979-09-03,36,25 - 45,Caucasian,0,3,0,0,3,53,2013-05-10 11:15:09,2013-05-11 07:01:59,12018170CF10A,,2012-12-13,95,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-05-10,2013-05-11,3,0,53,0,0,0 +40,victor moreno,victor,moreno,2014-10-24,Male,1983-02-03,33,25 - 45,African-American,0,10,0,0,0,0,2014-10-24 12:50:50,2014-12-01 07:49:53,14014284CF10A,2014-10-23,,1,F,Tampering With Physical Evidence,1,15010523CF10A,(F3),,2015-08-15,False Imprisonment,,,,1,15010523CF10A,(M1),2015-08-15,Battery,Risk of Recidivism,10,High,2014-10-24,Risk of Violence,6,Medium,2014-10-24,2015-05-27,2015-06-17,0,38,215,0,1,1 +45,mark friedland,mark,friedland,2013-12-30,Male,1960-07-27,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-29 06:37:02,2013-12-31 10:29:24,13017946CF10A,,2013-12-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2013-12-29,2013-12-31,0,1,823,0,0,0 +51,kurt fowks,kurt,fowks,2013-04-09,Male,1990-02-11,26,25 - 45,Caucasian,0,8,0,2,6,81,2013-06-29 06:05:49,2013-07-11 09:02:10,12022229TC10A,2012-03-23,,382,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-09,Risk of Violence,8,High,2013-04-09,2013-06-29,2013-07-11,6,0,81,0,0,0 +55,darling madrano,darling,madrano,2013-01-16,Male,1987-04-10,29,25 - 45,Caucasian,0,2,0,0,0,0,2013-01-16 12:44:00,2013-01-16 06:49:32,13000997MM10A,2013-01-15,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,2,Low,2013-01-16,2013-01-16,2013-01-16,0,0,1171,0,0,0 +56,kiante slocum,kiante,slocum,2013-08-24,Female,1994-08-17,21,Less than 25,African-American,0,8,0,0,2,-1,2013-08-23 10:37:03,2013-11-11 04:30:55,13011710CF10A,,2013-08-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-24,Risk of Violence,8,High,2013-08-24,2015-01-30,2015-01-31,2,79,524,0,0,0 +57,porfirio zamot,porfirio,zamot,2013-02-28,Male,1964-11-24,51,Greater than 45,African-American,0,1,0,0,2,-1,2013-02-27 04:44:18,2013-02-28 08:01:39,13004096MM10A,2013-02-27,,1,M,Unlaw Use False Name/Identity,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-28,Risk of Violence,1,Low,2013-02-28,2013-02-27,2013-02-28,2,0,1128,0,0,0 +61,brenda plummer,brenda,plummer,2013-02-14,Female,1964-11-11,51,Greater than 45,African-American,0,2,0,0,7,-1,2013-02-13 09:29:56,2013-02-15 01:35:37,13002244CF10A,2013-02-13,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-14,Risk of Violence,2,Low,2013-02-14,2014-07-28,2014-08-05,7,1,529,0,0,0 +66,jeffery dowdy,jeffery,dowdy,2014-03-28,Male,1990-05-28,25,25 - 45,Caucasian,0,10,0,0,9,-1,2014-03-27 10:17:55,2014-04-03 09:27:42,14005313MM10A,2014-03-27,,1,M,Battery,1,14004719CF10A,(F2),0,2014-04-05,Agg Battery Grt/Bod/Harm,2014-04-05,2014-04-14,,1,14004719CF10A,(F2),2014-04-05,Agg Battery Grt/Bod/Harm,Risk of Recidivism,10,High,2014-03-28,Risk of Violence,9,High,2014-03-28,2014-04-05,2014-04-14,9,6,8,1,1,1 +67,eddie jones,eddie,jones,2014-05-19,Male,1981-01-19,35,25 - 45,African-American,1,8,0,4,13,-1,2014-05-18 04:05:09,2014-05-19 01:47:37,14006899CF10A,2014-05-18,,1,F,Uttering a Forged Instrument,1,14008544MO10A,(MO3),0,2014-05-28,DOC/Fighting/Threatening Words,2014-05-28,2014-05-29,,1,14008544MO10A,(MO3),2014-05-28,DOC/Fighting/Threatening Words,Risk of Recidivism,8,High,2014-05-19,Risk of Violence,3,Low,2014-05-19,2014-05-28,2014-05-29,13,0,9,1,1,1 +68,michael harper,michael,harper,2013-08-02,Male,1967-02-19,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-08-02 04:43:01,2013-08-02 08:31:32,13014548MM10A,2013-08-02,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2013-08-02,2013-08-02,0,0,973,0,0,0 +70,jeffrey pierre,jeffrey,pierre,2013-04-24,Male,1986-10-06,29,25 - 45,African-American,0,4,0,0,0,0,2013-04-24 04:28:24,2013-04-24 08:20:12,13005888CF10A,2013-04-23,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-24,Risk of Violence,3,Low,2013-04-24,2013-04-24,2013-04-24,0,0,1073,0,0,0 +72,shinell baxterskeffrey,shinell,baxterskeffrey,2013-11-18,Female,1987-09-29,28,25 - 45,Other,0,2,0,0,0,-1,2013-11-17 09:43:17,2013-11-18 08:03:35,13015965CF10A,2013-11-17,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-18,Risk of Violence,2,Low,2013-11-18,2013-11-17,2013-11-18,0,0,865,0,0,0 +77,graciela quevedo,graciela,quevedo,2014-01-22,Female,1952-08-15,63,Greater than 45,Hispanic,0,1,0,0,1,-219,2013-06-17 04:04:07,2013-06-25 08:31:09,13007023CF10A,,2013-06-17,219,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2013-06-17,2013-06-25,1,0,800,0,0,0 +79,mackenson nelson,mackenson,nelson,2013-03-18,Male,1984-09-24,31,25 - 45,African-American,0,5,0,1,15,-1,2013-03-17 09:02:33,2013-07-31 08:23:26,13003864CF10A,2013-03-17,,1,F,Attempt Armed Burglary Dwell,1,16006319TC10A,(M2),,2016-02-28,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-18,Risk of Violence,7,Medium,2013-03-18,2013-03-17,2013-07-31,15,135,1077,1,0,0 +83,jonny romerobarrientos,jonny,romerobarrientos,2013-01-20,Male,1986-01-11,30,25 - 45,Hispanic,0,7,0,0,0,0,2013-01-20 02:50:51,2013-02-12 09:16:13,13001388MM10A,2013-01-20,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-20,Risk of Violence,3,Low,2013-01-20,2013-01-20,2013-02-12,0,23,1167,0,0,0 +84,rodney daniels,rodney,daniels,2013-08-27,Male,1967-01-23,49,Greater than 45,African-American,0,1,0,0,4,-1,2013-08-26 09:16:39,2013-08-27 06:57:19,13016325MM10A,2013-08-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-26,2013-08-27,4,0,948,0,0,0 +85,walter olson,walter,olson,2013-05-28,Male,1962-12-07,53,Greater than 45,Caucasian,0,5,0,0,8,-13,2013-05-15 08:36:10,2013-05-28 10:06:35,13006695CF10A,,2013-05-15,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-15,2013-05-28,8,0,1039,0,0,0 +87,ronald singletary,ronald,singletary,2013-02-11,Male,1980-06-04,35,25 - 45,African-American,0,3,0,0,5,-1,2013-02-10 07:44:42,2013-02-11 07:04:44,13002065CF10A,2013-02-10,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-11,Risk of Violence,2,Low,2013-02-11,2013-02-10,2013-02-11,5,0,1145,0,0,0 +97,victor cabreramacias,victor,cabreramacias,2013-01-08,Male,1954-01-26,62,Greater than 45,Hispanic,0,1,0,0,0,0,2013-01-08 12:33:09,2013-01-08 09:41:28,13001092TC10A,2013-01-07,,1,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-08,Risk of Violence,1,Low,2013-01-08,2013-01-08,2013-01-08,0,0,1179,0,0,0 +99,hector hollis,hector,hollis,2014-03-09,Male,1983-02-19,33,25 - 45,Other,0,1,0,0,0,-1,2014-03-08 01:34:03,2014-03-09 10:21:45,14004045MM10A,2014-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-09,Risk of Violence,1,Low,2014-03-09,2014-03-08,2014-03-09,0,0,754,0,0,0 +100,merlita hanson,merlita,hanson,2013-09-28,Female,1960-01-03,56,Greater than 45,African-American,0,1,0,0,0,0,2013-09-28 02:52:18,2013-10-01 07:39:52,13018452MM10A,2013-09-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-28,Risk of Violence,1,Low,2013-09-28,2013-09-28,2013-10-01,0,3,916,0,0,0 +101,pedro rodriguez,pedro,rodriguez,2013-01-13,Male,1970-05-03,45,Greater than 45,Hispanic,0,1,0,0,6,-1,2013-01-12 05:43:00,2013-09-11 04:51:56,13000734CF10A,2013-01-12,,1,F,Possession of Cocaine,1,14005041TC10A,(M2),,2013-12-02,Operating W/O Valid License,,,,1,14001759MM10A,(M1),2014-02-01,Battery,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-09-11,6,241,323,1,1,1 +102,andres bayas,andres,bayas,2013-05-25,Male,1993-10-16,22,Less than 25,Hispanic,0,4,0,0,1,-1,2013-05-24 06:06:17,2013-05-25 07:28:17,13007454CF10A,2013-05-24,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-25,Risk of Violence,6,Medium,2013-05-25,2013-05-24,2013-05-25,1,0,1042,0,0,0 +105,alfonzo morgan,alfonzo,morgan,2013-03-07,Male,1976-11-11,39,25 - 45,African-American,0,4,0,0,1,-1,2013-03-06 11:23:53,2013-03-11 09:00:57,04018615MM10A,,2013-03-06,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-07,Risk of Violence,2,Low,2013-03-07,2013-03-06,2013-03-11,1,4,1121,0,0,0 +111,phylipe raphael,phylipe,raphael,2013-07-17,Male,1976-03-27,40,25 - 45,African-American,0,2,0,0,2,-15,2013-07-02 03:42:01,2013-07-05 08:13:10,13007958CF10A,,2013-07-02,15,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-17,Risk of Violence,1,Low,2013-07-17,2013-07-02,2013-07-05,2,0,989,0,0,0 +114,james wickman,james,wickman,2013-02-19,Male,1993-10-12,22,Less than 25,Caucasian,0,8,0,0,0,-1,2013-02-18 12:24:07,2013-04-17 10:32:09,13002486CF10A,2013-02-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-19,Risk of Violence,6,Medium,2013-02-19,2013-05-03,2013-05-24,0,57,73,0,0,0 +115,pentara casaberry,pentara,casaberry,2013-11-08,Female,1989-09-01,26,25 - 45,African-American,0,4,0,0,1,-1,2013-11-07 09:01:45,2013-11-09 09:07:50,13015554CF10A,2013-11-07,,1,F,Poss Cocaine/Intent To Del/Sel,1,13016053CF10A,(M1),0,2013-11-19,Resist/Obstruct W/O Violence,2013-11-19,2014-01-16,,1,13016053CF10A,(F3),2013-11-19,Child Abuse,Risk of Recidivism,4,Low,2013-11-08,Risk of Violence,3,Low,2013-11-08,2013-11-19,2014-01-16,1,1,11,1,1,1 +116,david meadows,david,meadows,2014-07-21,Male,1988-10-11,27,25 - 45,Caucasian,0,7,0,0,1,-43,2014-06-08 01:02:27,2014-06-27 09:37:41,14007902CF10A,2014-06-07,,44,F,Burglary Dwelling Assault/Batt,1,15007890CF10A,(M1),24,2015-04-05,Felony Battery w/Prior Convict,2015-04-29,2015-05-17,,1,15007890CF10A,(M1),2015-04-05,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2014-07-21,Risk of Violence,8,High,2014-07-21,2015-06-29,2015-11-13,1,0,258,1,1,1 +119,shawn thropes,shawn,thropes,2013-03-04,Male,1983-05-02,32,25 - 45,African-American,0,2,0,0,0,-1,2013-03-03 03:33:48,2013-03-04 07:08:59,13003199CF10A,2013-03-03,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-03,2013-03-04,0,0,1124,0,0,0 +120,demetrious ellis,demetrious,ellis,2013-02-28,Male,1974-06-28,41,25 - 45,African-American,0,2,0,0,1,-1,2013-02-27 09:49:07,2013-03-01 01:59:16,95026071MM10A,,1998-12-19,5185,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-28,Risk of Violence,2,Low,2013-02-28,2013-02-27,2013-03-01,1,1,1128,0,0,0 +122,murvin thomas,murvin,thomas,2013-02-21,Male,1986-03-29,30,25 - 45,African-American,0,10,0,0,8,-1,2013-02-20 02:14:37,2013-02-21 07:47:06,13003606MM10A,2013-02-20,,1,M,Possess Cannabis/20 Grams Or Less,1,13005516CF10A,(M1),0,2013-04-17,Possess Cannabis/20 Grams Or Less,2013-04-17,2013-04-18,,1,15006514CF10A,(F3),2015-04-24,Battery on a Person Over 65,Risk of Recidivism,10,High,2013-02-21,Risk of Violence,9,High,2013-02-21,2013-04-17,2013-04-18,8,0,55,1,1,1 +128,kambrel tarver,kambrel,tarver,2013-04-20,Male,1991-01-30,25,25 - 45,African-American,1,10,6,1,14,-1,2013-04-19 02:20:32,2013-04-26 05:45:46,11008067CF10A,,2013-04-19,1,F,arrest case no charge,1,13015805MM10A,(M1),0,2013-07-29,Resist/Obstruct W/O Violence,2013-07-29,2013-08-17,,1,16003005CF10A,(M1),2016-03-09,Battery,Risk of Recidivism,10,High,2013-04-20,Risk of Violence,10,High,2013-04-20,2013-07-29,2013-08-17,14,6,100,1,1,1 +130,juster philippe,juster,philippe,2013-10-03,Male,1995-05-06,20,Less than 25,Other,0,5,0,0,0,-1,2013-10-02 05:50:22,2013-10-03 08:15:24,13013834CF10A,2013-10-02,,1,F,Tampering With Physical Evidence,1,14001348CF10A,(F2),0,2014-01-30,Robbery / No Weapon,2014-01-30,2015-03-29,,1,14001348CF10A,(F2),2014-01-30,Agg Battery Grt/Bod/Harm,Risk of Recidivism,5,Medium,2013-10-03,Risk of Violence,8,High,2013-10-03,2014-01-30,2015-03-29,0,0,119,1,1,1 +136,terri hamilton,terri,hamilton,2013-03-30,Female,1980-09-16,35,25 - 45,African-American,0,2,0,0,1,-1,2013-03-29 06:55:39,2013-03-30 03:12:37,13000467TC10A,,2013-03-29,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-29,2013-03-30,1,0,1098,0,0,0 +142,richard veach,richard,veach,2014-12-13,Male,1991-01-20,25,25 - 45,Caucasian,0,8,0,0,9,-1,2014-12-12 07:27:40,2014-12-13 07:23:49,14016502CF10A,2014-12-12,,1,F,Pos Cannabis W/Intent Sel/Del,1,15028085TC20A,(M2),,2015-05-07,Driving License Suspended,,,,1,15006549MM10A,(M1),2015-06-17,Battery,Risk of Recidivism,8,High,2014-12-13,Risk of Violence,9,High,2014-12-13,2015-07-17,2015-07-19,9,0,145,1,1,1 +143,jimmie moss,jimmie,moss,2013-01-04,Male,1944-05-13,71,Greater than 45,African-American,0,7,0,0,12,,,,10023009MM10A,2010-10-23,,804,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-04,Risk of Violence,3,Low,2013-01-04,,,12,0,1183,0,0,0 +145,jasmin negron,jasmin,negron,2013-11-14,Female,1995-09-19,20,Less than 25,Caucasian,0,7,0,0,0,-1,2013-11-13 11:21:14,2013-11-14 01:36:21,13015797CF10A,2013-11-13,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-14,Risk of Violence,8,High,2013-11-14,2013-11-13,2013-11-14,0,0,869,0,0,0 +147,phillip bishop,phillip,bishop,2013-11-06,Male,1949-05-04,66,Greater than 45,Caucasian,0,1,0,0,3,-64,2013-09-03 04:44:29,2013-10-03 12:15:17,13012424CF10A,2013-09-03,,64,F,Flee/Elude LEO-Agg Flee Unsafe,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-06,Risk of Violence,1,Low,2013-11-06,2013-09-03,2013-10-03,3,0,877,0,0,0 +148,deanna murphy,deanna,murphy,2013-04-15,Female,1961-11-10,54,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-15 01:07:24,2013-04-15 07:56:24,13007296MM10A,2013-04-14,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-04-15,2013-04-15,0,0,1082,0,0,0 +150,sharon muriente,sharon,muriente,2013-08-20,Female,1971-05-12,44,25 - 45,Hispanic,0,1,0,0,0,-2,2013-08-18 03:23:05,2013-08-19 06:27:00,13015636MM10A,2013-08-18,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-18,2013-08-19,0,0,955,0,0,0 +151,willie morris,willie,morris,2014-11-14,Male,1996-08-15,19,Less than 25,African-American,0,4,0,0,1,-10,2014-11-04 07:39:38,2014-11-13 10:02:51,14015929MM10A,2014-11-04,,10,M,Battery,1,15002656CF10A,(M1),0,2015-02-26,Viol Injunction Protect Dom Violence,2015-02-26,2015-03-04,,1,15002656CF10A,(F3),2015-02-26,Battery on Law Enforc Officer,Risk of Recidivism,4,Low,2014-11-14,Risk of Violence,7,Medium,2014-11-14,2015-02-26,2015-03-04,1,0,104,1,1,1 +152,brandon minter,brandon,minter,2014-02-28,Male,1991-11-27,24,Less than 25,African-American,0,2,0,0,1,-137,2013-10-14 04:11:17,2014-02-28 11:20:14,13007744CF10A,,2013-10-14,137,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-28,Risk of Violence,3,Low,2014-02-28,2015-07-16,2015-07-16,1,0,503,0,0,0 +153,matthew grant,matthew,grant,2013-09-09,Male,1985-07-24,30,25 - 45,African-American,0,2,0,0,1,-1,2013-09-08 09:39:18,2013-09-09 08:03:09,13012705CF10A,2013-09-08,,1,F,Fail To Redeliv Hire/Leas Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,2,Low,2013-09-09,2013-09-08,2013-09-09,1,0,935,0,0,0 +154,sandra quinones,sandra,quinones,2013-09-05,Female,1977-04-14,39,25 - 45,Caucasian,0,1,0,0,0,-1,2013-09-04 11:36:38,2013-09-06 04:07:01,13012513CF10A,2013-09-04,,1,F,Aggravated Assault W/Dead Weap,1,13020368MM10A,(M1),1,2013-10-27,Battery,2013-10-28,2013-10-28,,1,13020368MM10A,(M1),2013-10-27,Battery,Risk of Recidivism,1,Low,2013-09-05,Risk of Violence,1,Low,2013-09-05,2013-09-04,2013-09-06,0,1,52,1,1,1 +157,silvio paulino,silvio,paulino,2013-08-29,Male,1985-10-24,30,25 - 45,Caucasian,0,4,0,0,0,-1,2013-08-28 11:22:24,2013-09-03 10:40:45,13012146CF10A,2013-08-28,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-29,Risk of Violence,2,Low,2013-08-29,2015-01-08,2015-02-04,0,5,497,0,0,0 +158,john white,john,white,2014-02-21,Male,1984-06-08,31,25 - 45,Caucasian,0,5,0,0,0,-1,2014-02-20 09:46:47,2014-03-31 09:04:43,14003013MM10A,2014-02-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,2,Low,2014-02-21,2014-02-20,2014-03-31,0,38,770,0,0,0 +159,april mincey,april,mincey,2013-02-26,Female,1976-09-19,39,25 - 45,Caucasian,0,4,0,0,1,-1,2013-02-25 07:42:47,2013-06-12 04:31:04,13002849CF10A,2013-02-25,,1,F,Possession of Morphine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-26,Risk of Violence,3,Low,2013-02-26,2014-03-25,2014-03-30,1,106,392,0,0,0 +160,jimmy bell,jimmy,bell,2014-12-04,Male,1957-04-02,59,Greater than 45,African-American,0,9,0,0,14,178,2015-05-31 07:39:18,2015-09-18 01:21:56,12008029CF10A,,2014-03-14,265,F,arrest case no charge,1,15007122CF10A,(F3),0,2015-05-31,Aggravated Assault W/Dead Weap,2015-05-31,2015-09-18,,1,15007122CF10A,(F3),2015-05-31,Aggravated Assault W/Dead Weap,Risk of Recidivism,9,High,2014-12-04,Risk of Violence,4,Low,2014-12-04,2015-05-31,2015-09-18,14,0,178,1,1,1 +163,andrew chu,andrew,chu,2013-08-15,Male,1973-01-15,43,25 - 45,Caucasian,0,1,0,0,1,-30,2013-07-16 06:41:37,2013-07-17 07:35:00,13009961CF10A,2013-07-16,,30,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2013-07-16,2013-07-17,1,0,960,0,0,0 +171,joseph montalvomolina,joseph,montalvomolina,2013-02-15,Male,1982-02-19,34,25 - 45,Caucasian,0,5,0,0,0,0,2013-02-15 10:54:22,2013-03-02 09:04:47,13002550CF10A,2013-02-15,,0,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-15,Risk of Violence,5,Medium,2013-02-15,2014-05-02,2014-07-10,0,15,441,0,0,0 +174,gonzales joseph,gonzales,joseph,2013-11-18,Male,1978-09-27,37,25 - 45,African-American,0,2,0,0,3,0,2013-11-18 03:46:24,2013-11-19 10:18:36,13016018CF10A,2013-11-18,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2014-02-28,2014-03-07,3,1,102,0,0,0 +180,lee wright,lee,wright,2013-10-14,Male,1984-08-19,31,25 - 45,African-American,0,7,0,0,1,-1,2013-10-13 03:47:49,2013-10-14 08:18:17,13019413MM10A,2013-10-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-14,Risk of Violence,8,High,2013-10-14,2013-10-13,2013-10-14,1,0,900,0,0,0 +182,margretta martin,margretta,martin,2013-10-29,Female,1985-08-27,30,25 - 45,Other,0,2,0,0,1,-1,2013-10-28 07:07:32,2013-10-29 09:49:38,13015030CF10A,2013-10-28,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-29,Risk of Violence,2,Low,2013-10-29,2014-02-03,2014-02-11,1,0,97,0,0,0 +183,robert hauselt,robert,hauselt,2013-02-26,Male,1985-03-18,31,25 - 45,Caucasian,0,10,0,0,13,-1,2013-02-25 06:43:30,2014-06-11 12:57:06,13003002CF10A,,2013-02-26,0,F,arrest case no charge,1,13005853CF10A,(F2),,2013-04-22,Burglary Unoccupied Dwelling,,,,1,14015876MM10A,(M1),2014-11-03,Battery,Risk of Recidivism,10,High,2013-02-26,Risk of Violence,7,Medium,2013-02-26,2013-02-25,2014-06-11,13,0,55,1,1,1 +187,isaac johnson,isaac,johnson,2013-12-06,Male,1960-02-11,56,Greater than 45,African-American,0,9,0,0,8,67,2014-02-11 09:01:26,2014-05-02 08:04:43,11014376CF10A,,2013-09-18,79,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-06,Risk of Violence,3,Low,2013-12-06,2014-02-11,2014-05-02,8,0,67,0,0,0 +189,clifford matthews,clifford,matthews,2013-07-29,Male,1963-07-23,52,Greater than 45,Caucasian,0,9,0,0,3,-2,2013-07-27 10:50:36,2013-07-28 02:01:45,13014255MM10A,2013-07-27,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-07-29,Risk of Violence,6,Medium,2013-07-29,2013-07-27,2013-07-28,3,0,977,0,0,0 +192,sue middleton,sue,middleton,2014-03-31,Female,1952-02-19,64,Greater than 45,Caucasian,0,1,0,0,2,-47,2014-02-12 04:23:22,2014-02-12 01:49:55,14005660MU10A,2014-02-11,,48,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-02-12,2014-02-12,2,0,732,0,0,0 +194,ryan pottle,ryan,pottle,2013-09-17,Male,1974-03-30,42,25 - 45,Caucasian,0,3,0,0,6,-4,2013-09-13 12:01:41,2013-09-13 09:01:37,13012918CF10A,2013-09-12,,5,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-17,Risk of Violence,1,Low,2013-09-17,2014-10-30,2015-01-24,6,0,408,0,0,0 +195,brooke ferrell,brooke,ferrell,2013-12-23,Female,1991-01-14,25,25 - 45,Caucasian,0,4,0,0,2,-1,2013-12-22 01:36:59,2013-12-25 02:33:32,13016742CF10A,,2013-12-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,5,Medium,2013-12-23,2014-12-17,2015-01-07,2,2,359,0,0,0 +197,kyle hoyt,kyle,hoyt,2013-11-19,Male,1985-05-01,30,25 - 45,Caucasian,0,2,0,0,1,-20,2013-10-30 06:36:57,2013-11-03 02:08:43,13015141CF10A,2013-10-30,,20,M,Agg Fleeing and Eluding,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-19,Risk of Violence,2,Low,2013-11-19,2013-10-30,2013-11-03,1,0,864,0,0,0 +199,ritesh sukhlall,ritesh,sukhlall,2013-08-29,Male,1987-05-12,28,25 - 45,Caucasian,0,1,0,0,2,,,,12018849CF10A,,2013-03-21,161,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-29,Risk of Violence,2,Low,2013-08-29,,,2,0,946,0,0,0 +200,nicola spenceburrell,nicola,spenceburrell,2013-12-30,Female,1978-06-30,37,25 - 45,Other,0,2,0,0,2,-1,2013-12-29 10:42:45,2013-12-31 04:10:00,13012779MM10A,2013-05-22,,222,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2013-12-29,2013-12-31,2,1,823,0,0,0 +203,pamela goodwin,pamela,goodwin,2014-02-07,Female,1991-09-24,24,Less than 25,African-American,0,2,0,0,0,-1,2014-02-06 01:25:28,2014-02-08 12:00:39,14002123MM10A,2014-02-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-07,Risk of Violence,3,Low,2014-02-07,2014-02-06,2014-02-08,0,1,784,0,0,0 +209,jessica ruiz,jessica,ruiz,2014-04-04,Female,1985-06-15,30,25 - 45,Hispanic,0,5,0,0,4,-35,2014-02-28 01:37:01,2014-02-28 09:21:54,14002842CF10A,2014-02-27,,36,F,Battery on Law Enforc Officer,1,14007741MM10A,(M1),1,2014-05-11,Battery,2014-05-12,2014-06-13,,1,14007741MM10A,(M1),2014-05-11,Battery,Risk of Recidivism,5,Medium,2014-04-04,Risk of Violence,5,Medium,2014-04-04,2015-04-10,2015-12-07,4,0,37,1,1,1 +215,brandon flanders,brandon,flanders,2013-01-17,Male,1985-04-16,31,25 - 45,African-American,0,2,0,0,1,-1,2013-01-16 05:37:32,2013-01-17 07:15:11,13001130MM10A,2013-01-16,,1,M,Lewdness Violation,1,16012589TC40A,(M2),,2016-03-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-17,Risk of Violence,3,Low,2013-01-17,2013-01-16,2013-01-17,1,0,1140,1,0,0 +218,jean murphy,jean,murphy,2013-04-24,Female,1971-02-05,45,Greater than 45,Caucasian,0,4,0,0,4,,,,11000917CF10A,,2012-04-14,375,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-24,Risk of Violence,3,Low,2013-04-24,,,4,0,1073,0,0,0 +220,taveunshae livingston,taveunshae,livingston,2013-11-20,Female,1995-09-05,20,Less than 25,African-American,1,10,0,0,1,0,2013-11-20 09:36:33,2013-11-23 04:06:00,13014098CF10A,,2013-11-20,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-11-20,Risk of Violence,10,High,2013-11-20,2014-03-19,2014-03-28,1,3,119,0,0,0 +222,gia dreiss,gia,dreiss,2013-05-14,Female,1973-03-13,43,25 - 45,Caucasian,0,1,0,0,0,0,2013-05-14 04:01:02,2013-05-15 03:11:16,13009346MM10A,2013-05-14,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-05-14,2013-05-15,0,1,1053,0,0,0 +224,travis lee,travis,lee,2014-12-19,Male,1983-08-11,32,25 - 45,African-American,0,6,0,0,11,-2,2014-12-17 02:03:04,2014-12-18 08:41:05,14016717CF10A,2014-12-17,,2,F,Poss Pyrrolidinovalerophenone,1,15000511CF10A,(F3),0,2015-01-12,Poss Pyrrolidinovalerophenone,2015-01-12,2015-02-17,,1,15004732CF10A,(F1),2015-04-10,Manslaughter with Weapon,Risk of Recidivism,6,Medium,2014-12-19,Risk of Violence,5,Medium,2014-12-19,2015-01-12,2015-02-17,11,0,24,1,1,1 +225,justin poux,justin,poux,2013-12-26,Male,1982-08-26,33,25 - 45,African-American,0,5,0,0,8,-1,2013-12-25 07:37:38,2013-12-26 01:30:44,13023762MM10A,2013-12-25,,1,M,Assault,1,14003098MM40A,(M1),,2014-07-01,Possess Cannabis/20 Grams Or Less,,,,1,14011238CF10A,(M1),2014-08-16,Battery,Risk of Recidivism,5,Medium,2013-12-26,Risk of Violence,2,Low,2013-12-26,2015-07-16,2015-07-16,8,0,187,1,1,1 +231,tichina carr,tichina,carr,2013-12-07,Female,1995-07-13,20,Less than 25,African-American,0,6,0,0,0,0,2013-12-07 03:39:31,2013-12-07 07:28:49,13016953CF10A,2013-12-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-07,Risk of Violence,8,High,2013-12-07,2013-12-07,2013-12-07,0,0,846,0,0,0 +232,heather baker,heather,baker,2014-01-27,Female,1989-07-26,26,25 - 45,Caucasian,0,6,0,0,0,-2,2014-01-25 04:45:14,2014-01-26 02:13:40,14002839MU10A,2014-01-25,,2,M,Fail To Obey Police Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-27,Risk of Violence,3,Low,2014-01-27,2014-01-25,2014-01-26,0,0,795,0,0,0 +236,carlos lacayo,carlos,lacayo,2014-02-05,Male,1953-02-03,63,Greater than 45,Hispanic,0,1,0,0,1,-26,2014-01-10 09:45:32,2014-01-25 05:08:15,13002681CF10A,,2014-01-10,26,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-05,Risk of Violence,1,Low,2014-02-05,2014-01-10,2014-01-25,1,0,786,0,0,0 +238,tiffany reid,tiffany,reid,2014-04-23,Female,1984-02-01,32,25 - 45,African-American,0,10,0,0,4,-7,2014-04-16 09:55:10,2014-04-23 05:27:00,13017942CF10A,,2014-04-16,7,F,arrest case no charge,1,15006709CF10A,(F3),0,2015-05-23,Aggravated Assault W/Dead Weap,2015-05-23,2015-09-18,,1,15006709CF10A,(F3),2015-05-23,Aggravated Assault W/Dead Weap,Risk of Recidivism,10,High,2014-04-23,Risk of Violence,9,High,2014-04-23,2015-05-23,2015-09-18,4,0,395,1,1,1 +239,joshua ortiz,joshua,ortiz,2013-09-06,Male,1986-08-27,29,25 - 45,Hispanic,0,4,0,0,1,-1,2013-09-05 06:24:46,2013-09-06 03:39:35,13012529CF10A,2013-09-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-05,2013-09-06,1,0,938,0,0,0 +240,rabina humphrey,rabina,humphrey,2013-01-10,Female,1969-07-04,46,Greater than 45,Other,0,2,0,0,1,,,,12016046CF10A,2012-10-30,,72,F,Grand Theft in the 1st Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,,,1,0,1177,0,0,0 +242,dwayne powell,dwayne,powell,2013-06-27,Male,1961-03-09,55,Greater than 45,African-American,0,1,0,0,3,-51,2013-05-07 01:06:57,2013-05-08 03:17:33,13008769MM10A,2013-05-06,,52,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-27,Risk of Violence,1,Low,2013-06-27,2013-05-07,2013-05-08,3,0,1009,0,0,0 +243,bryan sandrin,bryan,sandrin,2014-02-11,Male,1976-06-30,39,25 - 45,Caucasian,1,4,0,0,1,-1,2014-02-10 10:59:01,2014-02-14 09:09:06,09018753TC10A,2009-07-15,,1672,M,,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-11,Risk of Violence,4,Low,2014-02-11,2014-02-10,2014-02-14,1,3,780,0,0,0 +245,jeffery jean,jeffery,jean,2013-03-02,Male,1985-05-30,30,25 - 45,African-American,0,7,0,0,1,0,2013-03-02 01:19:52,2013-05-11 04:23:17,13003159CF10A,2013-03-01,,1,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-02,Risk of Violence,8,High,2013-03-02,2014-03-04,2014-03-07,1,70,367,0,0,0 +246,michael cormier,michael,cormier,2013-09-26,Male,1967-08-21,48,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-09-25 12:51:27,2013-09-26 08:42:11,13018327MM10A,2013-09-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2013-09-25,2013-09-26,2,0,918,0,0,0 +248,marquis brantley,marquis,brantley,2013-05-16,Male,1993-05-25,22,Less than 25,African-American,0,2,0,0,1,-1,2013-05-15 12:16:21,2013-05-16 09:03:09,13006968CF10A,,2013-05-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-16,Risk of Violence,4,Low,2013-05-16,2014-11-14,2015-05-21,1,0,547,0,0,0 +251,tanya gordon,tanya,gordon,2014-03-19,Female,1966-09-25,49,Greater than 45,Caucasian,0,6,0,0,6,-56,2014-01-22 07:46:15,2014-01-27 08:19:45,14000940CF10A,2014-01-22,,56,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-19,Risk of Violence,2,Low,2014-03-19,2014-01-22,2014-01-27,6,0,744,0,0,0 +252,matthew segal,matthew,segal,2013-04-20,Male,1984-08-30,31,25 - 45,Caucasian,0,5,0,0,0,0,2013-04-20 02:52:11,2013-04-22 09:19:35,13005685CF10A,2013-04-19,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2015-04-09,2015-05-29,0,2,719,0,0,0 +257,robello rodriguez,robello,rodriguez,2013-09-09,Male,1992-09-11,23,Less than 25,Hispanic,0,3,0,0,0,-1,2013-09-08 01:03:31,2013-09-08 02:03:07,13012674CF10A,2013-09-07,,2,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,5,Medium,2013-09-09,2013-09-08,2013-09-08,0,0,935,0,0,0 +258,crissie wilson,crissie,wilson,2013-02-18,Female,1984-01-04,32,25 - 45,African-American,0,7,0,0,5,-1,2013-02-17 07:51:04,2013-02-18 10:17:02,13002448CF10A,2013-02-17,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-18,Risk of Violence,3,Low,2013-02-18,2013-02-17,2013-02-18,5,0,1138,0,0,0 +259,justo arias,justo,arias,2013-03-05,Male,1963-12-18,52,Greater than 45,Hispanic,0,1,0,0,2,-1,2013-03-04 10:07:00,2013-03-07 11:56:36,13018844TC10A,2013-03-04,,1,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,1,Low,2013-03-05,2013-06-21,2013-07-26,2,2,108,0,0,0 +260,curtis ross,curtis,ross,2013-02-05,Male,1954-02-20,62,Greater than 45,African-American,0,4,0,0,8,0,2013-02-05 12:23:14,2013-02-21 04:06:55,13001749CF10A,2013-02-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-02-05,2013-02-21,8,16,1151,0,0,0 +262,melody ford,melody,ford,2013-04-22,Female,1978-08-09,37,25 - 45,Caucasian,0,10,0,0,6,-110,2013-01-02 12:30:44,2013-04-18 09:04:00,13000026CF10A,2013-01-01,,111,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-22,Risk of Violence,4,Low,2013-04-22,2014-06-13,2014-12-18,6,0,417,0,0,0 +263,michael loughran,michael,loughran,2013-09-10,Male,1960-08-29,55,Greater than 45,Caucasian,0,1,0,0,1,-45,2013-07-27 04:18:41,2013-08-14 12:12:39,13010542CF10A,2013-07-27,,45,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-07-27,2013-08-14,1,0,934,0,0,0 +265,darasan bispham,darasan,bispham,2013-03-18,Male,1987-05-19,28,25 - 45,African-American,0,6,0,0,6,-1,2013-03-17 09:01:58,2013-03-18 01:40:10,13005239MM10A,2013-03-17,,1,M,Resist/Obstruct W/O Violence,1,14060125TC30A,(M2),,2014-07-13,Fail Register Vehicle,,,,1,15003512CF10A,(F2),2015-03-15,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-03-18,Risk of Violence,6,Medium,2013-03-18,2016-03-01,2016-03-17,6,0,482,1,1,1 +266,oscar lloranzo,oscar,lloranzo,2013-08-29,Male,1962-04-15,54,Greater than 45,Hispanic,0,1,0,0,2,-1,2013-08-28 02:23:37,2014-03-04 11:31:17,13012142CF10A,2013-08-28,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-29,Risk of Violence,1,Low,2013-08-29,2013-08-28,2014-03-04,2,187,946,0,0,0 +267,domingo martinez,domingo,martinez,2013-03-14,Male,1957-08-04,58,Greater than 45,Hispanic,0,2,0,0,0,-1,2013-03-13 10:02:13,2013-03-14 02:21:27,13003707CF10A,2013-03-13,,1,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-14,Risk of Violence,1,Low,2013-03-14,2014-01-10,2014-03-28,0,0,302,0,0,0 +269,marcial regidor,marcial,regidor,2014-03-03,Male,1959-12-31,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-02 03:51:04,2014-03-03 07:47:20,14002945CF10A,2014-03-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-02,2014-03-03,0,0,760,0,0,0 +271,shourav rahman,shourav,rahman,2014-01-14,Male,1992-01-07,24,Less than 25,Other,0,2,0,0,0,-1,2014-01-13 09:13:09,2014-01-15 08:37:12,14000576CF10A,2014-01-13,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-14,Risk of Violence,4,Low,2014-01-14,2014-01-13,2014-01-15,0,1,808,0,0,0 +279,ronald castaneda,ronald,castaneda,2013-10-25,Male,1958-05-31,57,Greater than 45,Hispanic,0,1,0,0,1,0,2013-10-25 09:20:19,2013-11-14 02:05:31,13014942CF10A,2013-10-25,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-25,Risk of Violence,1,Low,2013-10-25,2013-10-25,2013-11-14,1,20,889,0,0,0 +281,richard roberts,richard,roberts,2013-06-11,Male,1949-09-14,66,Greater than 45,African-American,0,1,0,0,3,-10,2013-06-01 11:04:44,2013-06-03 11:25:14,13007789CF10A,2013-06-01,,10,F,Agg Battery Grt/Bod/Harm,1,16000414MM20A,(M1),,2016-01-10,Battery,,,,1,16000414MM20A,(M1),2016-01-10,Battery,Risk of Recidivism,1,Low,2013-06-11,Risk of Violence,1,Low,2013-06-11,2013-06-01,2013-06-03,3,0,943,1,0,0 +287,aaron eddins,aaron,eddins,2013-12-24,Male,1978-12-03,37,25 - 45,African-American,0,9,0,0,2,0,2013-12-24 03:40:12,2013-12-24 08:53:51,13023727MM10A,2013-12-24,,0,M,Battery,1,14005925MM10A,(M1),0,2014-04-07,Battery,2014-04-07,2014-05-09,,1,14005925MM10A,(M1),2014-04-07,Battery,Risk of Recidivism,9,High,2013-12-24,Risk of Violence,8,High,2013-12-24,2014-04-07,2014-05-09,2,0,104,1,1,1 +291,shad campbell,shad,campbell,2013-02-01,Male,1970-12-18,45,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-01-31 04:11:55,2014-01-25 03:27:03,13001562CF10A,2013-01-31,,1,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-01,Risk of Violence,4,Low,2013-02-01,2013-01-31,2014-01-25,2,358,1155,0,0,0 +293,delmario watt,delmario,watt,2014-04-26,Male,1992-12-18,23,Less than 25,African-American,0,3,0,0,0,-1,2014-04-25 10:29:59,2014-04-26 09:57:20,14005797CF10A,2014-04-25,,1,F,Possession of Cannabis,1,15003342CF10A,(F2),0,2015-03-12,Robbery W/Firearm,2015-03-12,2015-09-21,,1,15003342CF10A,(F2),2015-03-12,Robbery W/Firearm,Risk of Recidivism,3,Low,2014-04-26,Risk of Violence,4,Low,2014-04-26,2015-03-12,2015-09-21,0,0,320,1,1,1 +294,clifton mccree,clifton,mccree,2014-01-31,Male,1982-03-05,34,25 - 45,African-American,0,2,0,0,2,0,2014-01-31 12:35:27,2014-02-26 05:50:20,14001687MM10A,2014-01-30,,1,M,Battery,1,16002539CF10A,(F3),0,2016-02-28,,2016-02-28,2016-03-22,,0,,,,,Risk of Recidivism,2,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2016-02-28,2016-03-22,2,26,758,1,0,0 +297,kerry gonzalez,kerry,gonzalez,2013-08-21,Female,1992-04-20,23,Less than 25,African-American,0,4,0,0,1,-1,2013-08-20 11:57:06,2013-08-21 07:50:16,13015960MM10A,2013-08-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-21,Risk of Violence,4,Low,2013-08-21,2013-08-20,2013-08-21,1,0,954,0,0,0 +299,douglas eaton,douglas,eaton,2013-09-16,Male,1965-05-28,50,Greater than 45,Caucasian,0,1,0,0,1,-4,2013-09-12 09:32:07,2013-09-14 03:06:18,16000586CF10A,2013-09-12,,4,F,Sexual Performance by a Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2016-02-12,2016-02-13,1,0,879,0,0,0 +300,stephanie harvey,stephanie,harvey,2013-11-08,Female,1978-08-31,37,25 - 45,Caucasian,0,3,0,0,0,-1,2013-11-07 02:53:47,2013-11-07 09:00:57,13021013MM10A,2013-11-07,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2013-11-07,2013-11-07,0,0,875,0,0,0 +301,jason cypress,jason,cypress,2013-01-06,Male,1972-01-16,44,25 - 45,Caucasian,0,4,0,0,4,0,2013-01-06 04:51:37,2013-01-07 10:41:46,13000313MM10A,2013-01-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-06,Risk of Violence,4,Low,2013-01-06,2013-01-06,2013-01-07,4,1,1181,0,0,0 +308,adrean reid,adrean,reid,2013-03-26,Male,1988-08-11,27,25 - 45,African-American,0,2,0,0,0,-1,2013-03-25 12:25:41,2013-03-28 05:58:56,13004320CF10A,2013-03-25,,1,M,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-26,Risk of Violence,3,Low,2013-03-26,2013-03-25,2013-03-28,0,2,1102,0,0,0 +310,winnie nerestant,winnie,nerestant,2013-10-29,Female,1988-04-13,28,25 - 45,African-American,0,8,0,0,0,0,2013-10-29 04:01:57,2013-11-27 06:51:07,13015115CF10A,2013-10-28,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-29,Risk of Violence,6,Medium,2013-10-29,2013-10-29,2013-11-27,0,29,885,0,0,0 +311,frank gadman,frank,gadman,2013-03-26,Male,1973-01-27,43,25 - 45,Caucasian,0,5,0,0,11,49,2013-05-14 01:49:40,2013-09-12 07:19:52,12017664CF10A,,2013-01-29,56,F,arrest case no charge,1,13009339MM10A,(M1),1,2013-05-13,Battery,2013-05-14,2013-09-12,,1,13009339MM10A,(M1),2013-05-13,Battery,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,3,Low,2013-03-26,2013-09-12,2014-10-01,11,0,48,1,1,1 +315,damond craig,damond,craig,2013-03-20,Male,1977-06-11,38,25 - 45,African-American,0,1,0,0,2,-1,2013-03-19 04:21:06,2013-03-20 09:34:48,13004002CF10A,2013-03-19,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-05-20,2013-05-20,2,0,61,0,0,0 +316,justin castellanos,justin,castellanos,2014-02-26,Male,1989-03-16,27,25 - 45,Caucasian,0,4,0,0,2,-36,2014-01-21 10:31:38,2014-02-26 10:40:06,14000870CF10A,2014-01-21,,36,M,Trespass Struct/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-26,Risk of Violence,3,Low,2014-02-26,2014-01-21,2014-02-26,2,0,765,0,0,0 +317,jenay doe,jenay,doe,2013-01-02,Female,1987-10-07,28,25 - 45,African-American,0,9,0,0,1,-1,2013-01-01 06:27:15,2013-02-09 02:24:08,13000032CF10A,,2013-01-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-02,Risk of Violence,7,Medium,2013-01-02,2015-06-10,2015-08-28,1,38,889,0,0,0 +320,andreas fountain,andreas,fountain,2013-02-19,Male,1977-08-08,38,25 - 45,African-American,0,9,0,0,15,-1,2013-02-18 09:26:05,2013-02-20 03:43:56,13002469CF10A,2013-02-18,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-18,2013-02-20,15,1,1137,0,0,0 +321,joshua edmond,joshua,edmond,2013-10-31,Male,1987-10-28,28,25 - 45,African-American,0,5,0,0,2,-1,2013-10-30 07:57:19,2013-10-31 01:45:23,07028509MM10A,2007-12-15,,2147,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-31,Risk of Violence,4,Low,2013-10-31,2013-10-30,2013-10-31,2,0,883,0,0,0 +322,clinton johnson,clinton,johnson,2013-01-10,Male,1971-02-08,45,Greater than 45,African-American,0,6,0,0,3,104,2013-04-24 12:56:21,2013-11-29 03:06:21,12016802CF10A,,2012-12-18,23,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-10,Risk of Violence,4,Low,2013-01-10,2013-04-24,2013-11-29,3,0,104,0,0,0 +323,williams rodriguez,williams,rodriguez,2013-01-04,Male,1987-06-14,28,25 - 45,Hispanic,0,2,0,0,0,,,,12026489MM10A,2012-12-30,,5,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-04,Risk of Violence,3,Low,2013-01-04,,,0,0,1183,0,0,0 +325,jon fried,jon,fried,2013-03-20,Male,1954-10-19,61,Greater than 45,Caucasian,0,1,0,0,1,-34,2013-02-14 11:17:01,2013-02-15 07:40:39,13002308CF10A,,2013-02-14,34,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-02-14,2013-02-15,1,0,1108,0,0,0 +326,tamara powers,tamara,powers,2014-01-13,Female,1964-12-08,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-12 08:37:58,2014-01-13 02:00:36,14001458MU10A,2014-01-12,,1,M,Driving Under The Influence,1,14010147MM10A,(M1),0,2014-07-01,Battery,2014-07-01,2014-09-06,,1,14010147MM10A,(M1),2014-07-01,Battery,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-07-01,2014-09-06,0,0,169,1,1,1 +327,matthew dukes,matthew,dukes,2013-10-31,Male,1965-01-27,51,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-10-30 11:27:14,2013-10-31 08:46:16,13020585MM10A,2013-10-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-31,Risk of Violence,2,Low,2013-10-31,2013-10-30,2013-10-31,0,0,883,0,0,0 +330,henson thomas,henson,thomas,2013-01-13,Male,1967-08-06,48,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-12 06:40:25,2013-01-13 09:03:52,13000573CF10A,2013-01-12,,1,F,Aggravated Battery (Firearm/Actual Possession),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0,0 +332,jessica charnel,jessica,charnel,2013-05-13,Female,1985-07-17,30,25 - 45,African-American,0,7,0,0,2,-1,2013-05-12 06:56:40,2013-05-15 02:06:25,13006795CF10A,2013-05-12,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-13,Risk of Violence,4,Low,2013-05-13,2013-05-12,2013-05-15,2,2,1054,0,0,0 +333,tumeka warner,tumeka,warner,2013-11-05,Female,1974-04-25,41,25 - 45,African-American,0,6,0,0,5,0,2013-11-05 02:09:51,2013-11-05 07:57:55,13020890MM10A,2013-11-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-05,Risk of Violence,3,Low,2013-11-05,2013-11-05,2013-11-05,5,0,878,0,0,0 +335,kip stubbs,kip,stubbs,2013-02-17,Male,1979-04-03,37,25 - 45,African-American,0,1,0,0,0,-1,2013-02-16 07:22:50,2013-02-18 02:10:02,13003388MM10A,2013-02-16,,1,M,Battery,1,15007263MM10A,(M1),0,2015-07-07,Battery,2015-07-07,2015-07-20,,1,15007263MM10A,(M1),2015-07-07,Battery,Risk of Recidivism,1,Low,2013-02-17,Risk of Violence,1,Low,2013-02-17,2015-07-07,2015-07-20,0,1,870,1,0,0 +337,shawn siler,shawn,siler,2013-05-07,Male,1961-08-23,54,Greater than 45,African-American,0,9,0,0,11,-1,2013-05-06 08:51:14,2013-09-13 05:58:39,13006472CF10A,2013-05-06,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-07,Risk of Violence,9,High,2013-05-07,2013-05-06,2013-09-13,11,129,1060,0,0,0 +338,kriston douglas,kriston,douglas,2013-05-09,Male,1992-08-26,23,Less than 25,African-American,0,9,0,0,2,-1,2013-05-08 10:09:34,2013-07-19 06:36:57,13006694CF10A,2013-05-08,,1,F,Robbery / Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-09,Risk of Violence,5,Medium,2013-05-09,2013-05-08,2013-07-19,2,71,1058,0,0,0 +344,tania quinonez,tania,quinonez,2014-01-25,Male,1974-08-07,41,25 - 45,African-American,0,1,0,0,0,0,2014-01-25 09:44:01,2014-01-26 06:31:19,14001403MM10A,2014-01-25,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2014-01-25,2014-01-26,0,1,797,0,0,0 +345,edward connell,edward,connell,2013-05-16,Male,1964-02-10,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-15 11:15:03,2013-05-16 08:50:44,13006960CF10A,2013-05-15,,1,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-16,Risk of Violence,1,Low,2013-05-16,2013-05-15,2013-05-16,0,0,1051,0,0,0 +348,robert dukes,robert,dukes,2014-02-04,Male,1964-02-12,52,Greater than 45,African-American,0,4,0,0,0,-1,2014-02-03 03:50:35,2014-02-17 02:20:23,14001502CF10A,2014-02-03,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-04,Risk of Violence,3,Low,2014-02-04,2014-02-03,2014-02-17,0,13,787,0,0,0 +349,michael cunningham,michael,cunningham,2013-05-17,Male,1987-07-21,28,25 - 45,Caucasian,0,1,0,0,1,-3,2013-05-14 04:20:05,2013-05-17 10:53:34,09011413CF10A,,2013-05-14,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-17,Risk of Violence,2,Low,2013-05-17,2013-05-14,2013-05-17,1,0,1050,0,0,0 +350,willie sims,willie,sims,2014-08-06,Male,1985-10-26,30,25 - 45,African-American,0,9,0,2,11,-1,2014-08-05 03:19:41,2014-08-06 08:40:28,14011853MM10A,2014-08-05,,1,M,Battery,1,14017107MM10A,(M1),0,2014-12-03,Trespass After Warning,2014-12-03,2014-12-09,,1,15000025CF10A,(F1),2014-12-20,Robbery W/Firearm,Risk of Recidivism,9,High,2014-08-06,Risk of Violence,4,Low,2014-08-06,2014-12-03,2014-12-09,11,0,119,1,1,1 +351,bret petit,bret,petit,2013-09-27,Male,1987-05-13,28,25 - 45,Caucasian,0,5,0,0,1,0,2013-09-27 04:35:20,2013-10-03 08:39:37,13013598CF10A,2013-09-27,,0,F,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-27,Risk of Violence,3,Low,2013-09-27,2013-09-27,2013-10-03,1,6,917,0,0,0 +354,william st fleur,william,st fleur,2013-02-22,Male,1993-09-29,22,Less than 25,African-American,0,4,0,0,0,-1,2013-02-21 03:42:13,2013-02-22 01:52:11,13002685CF10A,2013-02-21,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-22,Risk of Violence,6,Medium,2013-02-22,2013-02-21,2013-02-22,0,0,1134,0,0,0 +355,gylier lewis,gylier,lewis,2013-03-05,Male,1985-05-18,30,25 - 45,African-American,0,2,0,0,4,0,2013-03-05 04:44:39,2013-03-05 01:41:22,13003312CF10A,2013-03-05,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-05,Risk of Violence,2,Low,2013-03-05,2013-03-05,2013-03-05,4,0,1123,0,0,0 +356,giovanni potesta,giovanni,potesta,2013-11-03,Male,1990-06-29,25,25 - 45,Hispanic,0,4,0,0,4,0,2013-11-03 02:47:28,2013-11-04 07:59:32,13015319CF10A,2013-11-03,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-03,Risk of Violence,4,Low,2013-11-03,2013-11-03,2013-11-04,4,1,880,0,0,0 +359,gerald magnus,gerald,magnus,2013-12-17,Male,1983-05-20,32,25 - 45,African-American,0,9,1,0,14,-1,2013-12-16 05:05:35,2013-12-17 08:47:25,13017383CF10A,2013-12-16,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-17,Risk of Violence,8,High,2013-12-17,2013-12-16,2013-12-17,14,0,836,0,0,0 +360,devonn singletary,devonn,singletary,2013-09-11,Male,1989-08-21,26,25 - 45,African-American,0,8,1,0,4,649,2015-06-22 09:31:25,2015-09-06 07:25:45,09001823MM30A,2009-06-02,,1562,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-11,Risk of Violence,6,Medium,2013-09-11,2015-06-22,2015-09-06,4,0,649,0,0,0 +361,michael gellert,michael,gellert,2013-01-16,Male,1962-11-03,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-15 05:53:17,2013-01-16 07:01:06,13001030MM10A,2013-01-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-16,Risk of Violence,1,Low,2013-01-16,2013-01-15,2013-01-16,1,0,1171,0,0,0 +364,jose louis,jose,louis,2013-09-06,Male,1990-09-08,25,25 - 45,African-American,0,3,0,0,0,0,2013-09-06 01:00:30,2013-09-06 09:12:00,13012559CF10A,2013-09-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-06,2013-09-06,0,0,938,0,0,0 +369,patria barnes,patria,barnes,2013-12-09,Female,1978-06-06,37,25 - 45,Other,0,1,0,0,0,-1,2013-12-08 01:55:28,2013-12-09 02:00:59,13022717MM10A,2013-12-07,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,2013-12-08,2013-12-09,0,0,844,0,0,0 +372,claire aspelly,claire,aspelly,2013-10-23,Female,1975-06-08,40,25 - 45,Other,0,2,0,0,3,-1,2013-10-22 09:03:15,2013-10-23 09:05:27,13014829CF10A,2013-10-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2013-10-22,2013-10-23,3,0,891,0,0,0 +374,anthony kasprow,anthony,kasprow,2014-03-11,Male,1980-01-31,36,25 - 45,Caucasian,0,7,0,0,8,150,2014-08-08 04:01:22,2014-08-30 08:45:38,14003451CF10A,2014-03-11,,0,F,Felony Driving While Lic Suspd,1,14012031MM10A,(M1),0,2014-08-08,Battery,2014-08-08,2014-08-30,,1,14012031MM10A,(M1),2014-08-08,Battery,Risk of Recidivism,7,Medium,2014-03-11,Risk of Violence,9,High,2014-03-11,2014-08-08,2014-08-30,8,0,150,1,1,1 +375,michael mackrell,michael,mackrell,2014-02-12,Male,1985-05-14,30,25 - 45,Caucasian,0,2,0,0,4,-140,2013-09-25 02:54:17,2013-11-26 12:02:49,13013491CF10A,2013-09-25,,140,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-12,Risk of Violence,2,Low,2014-02-12,2013-09-25,2013-11-26,4,0,779,0,0,0 +376,mark plummer,mark,plummer,2014-03-18,Male,1993-12-22,22,Less than 25,African-American,0,9,0,0,3,161,2014-08-26 09:15:02,2014-08-27 04:21:56,13016165MM10A,2013-08-22,,208,M,Prowling/Loitering,1,14016921TC10A,(M2),128,2014-04-20,Unlaw LicTag/Sticker Attach,2014-08-26,2014-08-27,,1,14017564MM10A,(M1),2014-12-14,Battery,Risk of Recidivism,9,High,2014-03-18,Risk of Violence,9,High,2014-03-18,2016-03-05,2016-03-21,3,0,33,1,1,1 +377,ashley emond,ashley,emond,2013-09-30,Female,1991-05-18,24,Less than 25,Caucasian,0,7,0,0,1,-32,2013-08-29 02:32:59,2013-09-27 06:25:27,13016565MM10A,2013-08-29,,32,M,Battery,1,14015676MM10A,(M1),0,2014-10-29,Battery,2014-10-29,2014-10-30,,1,14015676MM10A,(M1),2014-10-29,Battery,Risk of Recidivism,7,Medium,2013-09-30,Risk of Violence,5,Medium,2013-09-30,2014-10-29,2014-10-30,1,0,394,1,1,1 +379,andrea rojas,andrea,rojas,2013-03-09,Female,1984-10-16,31,25 - 45,Hispanic,0,2,0,0,0,-1,2013-03-08 09:57:50,2013-03-09 07:56:27,13004727MM10A,2013-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-09,Risk of Violence,2,Low,2013-03-09,2013-03-08,2013-03-09,0,0,1119,0,0,0 +383,david suarez,david,suarez,2013-02-04,Male,1992-02-06,24,Less than 25,Hispanic,0,8,0,0,0,-3,2013-02-01 09:51:10,2013-02-02 01:42:28,13002376MM10A,2013-02-01,,3,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-04,Risk of Violence,7,Medium,2013-02-04,2013-02-01,2013-02-02,0,0,1152,0,0,0 +384,calvin ellis,calvin,ellis,2014-04-01,Male,1987-01-22,29,25 - 45,African-American,0,3,0,0,1,-1,2014-03-31 02:14:12,2014-04-01 01:22:49,14005495MM10A,2014-03-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-04-01,Risk of Violence,3,Low,2014-04-01,2014-03-31,2014-04-01,1,0,731,0,0,0 +385,tyler tenney,tyler,tenney,2013-11-18,Male,1995-07-14,20,Less than 25,African-American,0,8,0,0,1,-1,2013-11-17 04:24:59,2013-11-18 07:25:07,13015983CF10A,2013-11-17,,1,F,Carrying Concealed Firearm,1,14002931CF10A,(F3),0,2014-03-02,Possession Of Methamphetamine,2014-03-02,2014-07-01,,1,14002931CF10A,(F3),2014-03-02,Felony Battery (Dom Strang),Risk of Recidivism,8,High,2013-11-18,Risk of Violence,7,Medium,2013-11-18,2014-03-02,2014-07-01,1,0,104,1,1,1 +389,johnny toussaint,johnny,toussaint,2013-03-12,Male,1976-11-20,39,25 - 45,Other,0,1,0,0,0,-1,2013-03-11 10:17:29,2013-03-12 07:59:36,13003569CF10A,2013-03-11,,1,F,Throw In Occupied Dwell,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-10-02,2013-10-03,0,0,204,0,0,0 +390,antonio barnes,antonio,barnes,2013-08-07,Male,1988-06-03,27,25 - 45,African-American,0,4,0,0,4,-1,2013-08-06 09:00:30,2013-08-07 08:23:22,13010054CF10A,,2013-08-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-07,Risk of Violence,4,Low,2013-08-07,2015-07-08,2015-07-21,4,0,700,0,0,0 +392,gershon rapoport,gershon,rapoport,2013-07-16,Male,1984-09-15,31,25 - 45,Caucasian,0,4,0,0,2,812,2015-10-06 11:57:33,2015-10-17 07:38:17,08008163MM10A,,2010-10-04,1016,M,arrest case no charge,1,15012910CF10A,(F3),0,2015-10-06,Possession of Cocaine,2015-10-06,2015-10-17,,0,,,,,Risk of Recidivism,4,Low,2013-07-16,Risk of Violence,3,Low,2013-07-16,2015-10-06,2015-10-17,2,0,812,1,0,0 +393,ruth etienne,ruth,etienne,2013-12-03,Female,1978-08-23,37,25 - 45,African-American,0,1,0,0,2,0,2013-12-03 12:48:34,2013-12-04 07:43:54,13016786CF10A,,2013-12-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2014-09-23,2014-10-07,2,1,294,0,0,0 +396,dominick akinpello,dominick,akinpello,2014-02-19,Male,1995-04-20,20,Less than 25,African-American,0,8,0,0,0,-1,2014-02-18 09:37:20,2014-02-21 04:07:45,14002312CF10A,2014-02-18,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-19,Risk of Violence,6,Medium,2014-02-19,2014-02-18,2014-02-21,0,2,772,0,0,0 +398,sebastian claros,sebastian,claros,2013-04-20,Male,1994-04-16,22,Less than 25,Hispanic,0,7,0,1,0,0,2013-04-20 02:16:15,2013-04-22 03:48:37,13005681CF10A,2013-04-20,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2013-06-25,2013-07-02,0,2,66,0,0,0 +399,karen storey-broderick,karen,storey-broderick,2013-08-02,Female,1963-09-25,52,Greater than 45,African-American,0,1,0,0,0,-1,2013-08-01 10:03:28,2013-08-02 02:00:46,13010773CF10A,2013-08-01,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2013-08-01,2013-08-02,0,0,973,0,0,0 +402,roselia scott,roselia,scott,2013-11-13,Female,1967-08-30,48,Greater than 45,African-American,0,2,0,0,0,-1,2013-11-12 10:24:10,2013-11-14 06:47:41,13015723CF10A,2013-11-12,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-13,Risk of Violence,3,Low,2013-11-13,2013-11-12,2013-11-14,0,1,870,0,0,0 +404,daniel carvallo,daniel,carvallo,2013-04-20,Male,1990-07-20,25,25 - 45,Caucasian,0,5,0,0,0,0,2013-04-20 02:39:55,2013-04-20 07:15:12,13005683CF10A,2013-04-19,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2014-04-10,2014-04-15,0,0,355,0,0,0 +405,gary hrinda,gary,hrinda,2013-04-08,Male,1988-06-06,27,25 - 45,Caucasian,0,6,0,0,0,-1,2013-04-07 11:02:06,2013-04-09 04:14:39,13004978CF10A,2013-04-07,,1,F,Grand Theft in the 3rd Degree,1,13015848CF10A,(F3),0,2013-11-14,Aggravated Assault W/Dead Weap,2013-11-14,2014-07-14,,1,13015848CF10A,(F3),2013-11-14,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2013-04-08,Risk of Violence,7,Medium,2013-04-08,2013-11-14,2014-07-14,0,1,220,1,1,1 +408,genny robbins,genny,robbins,2013-12-31,Female,1993-05-16,22,Less than 25,Caucasian,0,3,0,0,1,-1,2013-12-30 10:48:07,2013-12-31 09:49:50,13017994CF10A,2013-12-30,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-31,Risk of Violence,4,Low,2013-12-31,2013-12-30,2013-12-31,1,0,822,0,0,0 +409,laroyce odom,laroyce,odom,2014-01-24,Male,1980-12-19,35,25 - 45,African-American,0,10,0,0,2,,,,14001155CF10A,,2014-01-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-24,Risk of Violence,8,High,2014-01-24,2004-06-16,2005-03-04,2,0,798,0,0,0 +410,john provenzano,john,provenzano,2013-09-06,Male,1984-04-04,32,25 - 45,Caucasian,0,4,0,0,2,-232,2013-01-17 09:43:27,2013-02-26 11:12:02,12017006CF10A,,2013-01-17,232,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-01-17,2013-02-26,2,0,938,0,0,0 +411,jarah king,jarah,king,2013-08-05,Female,1975-03-11,41,25 - 45,African-American,0,3,0,0,2,-1,2013-08-04 07:42:27,2013-08-05 06:31:46,13010816CF10A,2013-08-04,,1,M,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2013-08-04,2013-08-05,2,0,970,0,0,0 +414,sarah guerrier,sarah,guerrier,2014-01-29,Female,1990-09-14,25,25 - 45,Other,0,2,0,0,0,-1,2014-01-28 10:39:22,2014-01-29 08:33:42,14001235CF10A,2014-01-28,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-29,Risk of Violence,3,Low,2014-01-29,2014-01-28,2014-01-29,0,0,793,0,0,0 +415,james martin,james,martin,2013-04-11,Male,1971-10-07,44,25 - 45,African-American,0,7,0,0,24,53,2013-06-03 12:59:33,2013-09-29 05:18:00,13013026TC10A,2013-03-11,,31,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-11,Risk of Violence,3,Low,2013-04-11,2013-06-03,2013-09-29,24,0,53,0,0,0 +417,alfranzwell myers,alfranzwell,myers,2013-04-05,Male,1972-05-07,43,25 - 45,African-American,0,1,0,0,0,-1,2013-04-04 07:55:57,2013-05-15 08:09:02,13004852CF10A,2013-04-04,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-04,2013-05-15,0,40,1092,0,0,0 +423,christopher wolter,christopher,wolter,2014-03-05,Male,1978-05-10,37,25 - 45,Caucasian,0,1,0,0,3,-4,2014-03-01 11:39:37,2014-03-04 09:02:34,13015173CF10A,,2014-03-01,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-05,Risk of Violence,1,Low,2014-03-05,2014-03-01,2014-03-04,3,0,758,0,0,0 +424,immanuel crafton,immanuel,crafton,2014-06-20,Male,1987-05-17,28,25 - 45,African-American,0,4,0,0,3,299,2015-04-15 09:07:50,2015-04-18 02:29:53,14001214MM40A,2014-03-12,,100,M,Possess Cannabis/20 Grams Or Less,1,15004954CF10A,(F2),0,2015-04-15,Aggravated Battery / Pregnant,2015-04-15,2015-04-18,,1,15004954CF10A,(F2),2015-04-15,Aggravated Battery / Pregnant,Risk of Recidivism,4,Low,2014-06-20,Risk of Violence,3,Low,2014-06-20,2015-04-15,2015-04-18,3,0,299,1,1,1 +425,karl weimar,karl,weimar,2013-04-18,Male,1946-03-20,70,Greater than 45,Caucasian,0,1,0,0,1,-13,2013-04-05 11:19:07,2013-04-18 10:45:47,13006582MM10A,2013-04-05,,13,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-04-05,2013-04-18,1,0,1079,0,0,0 +428,john fox,john,fox,2013-05-01,Male,1970-02-13,46,Greater than 45,Caucasian,0,4,0,0,3,-1,2013-04-30 04:31:44,2013-05-14 09:41:21,06021703CF10A,,2013-04-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-04-30,2013-05-14,3,13,1066,0,0,0 +430,milot bastian,milot,bastian,2014-07-15,Male,1989-09-13,26,25 - 45,African-American,0,8,0,0,1,-1,2014-07-14 06:15:12,2014-07-16 02:43:22,14010769MM10A,2014-07-14,,1,M,Battery,1,15011432CF10A,(F3),0,2015-09-03,Tamper With Witness/Victim/CI,2015-09-03,2015-09-14,,1,15011432CF10A,(F3),2015-09-03,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2014-07-15,Risk of Violence,6,Medium,2014-07-15,2015-09-03,2015-09-14,1,1,415,1,1,1 +432,dale quimby,dale,quimby,2014-01-20,Male,1982-01-10,34,25 - 45,Caucasian,0,4,0,0,5,-1,2014-01-19 03:20:12,2014-01-20 07:58:57,14000963MM10A,2014-01-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-20,Risk of Violence,4,Low,2014-01-20,2014-01-19,2014-01-20,5,0,802,0,0,0 +435,vladimir ducard,vladimir,ducard,2013-12-04,Male,1981-12-15,34,25 - 45,African-American,0,4,0,0,5,-1,2013-12-03 09:45:00,2013-12-04 08:51:32,13022481MM10A,2013-12-03,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-04,Risk of Violence,4,Low,2013-12-04,2013-12-03,2013-12-04,5,0,849,0,0,0 +439,widner francois,widner,francois,2013-10-25,Male,1985-11-11,30,25 - 45,African-American,0,1,0,0,2,-83,2013-08-03 02:56:01,2013-10-25 10:49:05,13004490CF10A,,2013-08-03,83,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-25,Risk of Violence,2,Low,2013-10-25,2013-08-03,2013-10-25,2,0,889,0,0,0 +441,mohammed alshibi,mohammed,alshibi,2013-04-09,Male,1991-06-20,24,Less than 25,Other,0,3,0,0,0,-1,2013-04-08 08:55:48,2013-04-09 10:21:22,13005050CF10A,2013-04-08,,1,F,Failure To Return Hired Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-09,Risk of Violence,5,Medium,2013-04-09,2013-04-08,2013-04-09,0,0,1088,0,0,0 +442,frans barens,frans,barens,2014-06-30,Male,1982-05-23,33,25 - 45,Caucasian,0,3,0,0,1,-93,2014-03-29 07:09:12,2014-03-29 09:12:15,14012358MU10A,2014-03-29,,93,M,Driving Under The Influence,1,15010566CF10A,(F3),0,2015-08-16,Tamper With Witness/Victim/CI,2015-08-16,2015-08-17,,1,15010566CF10A,(F3),2015-08-16,Felony Battery (Dom Strang),Risk of Recidivism,3,Low,2014-06-30,Risk of Violence,2,Low,2014-06-30,2015-08-16,2015-08-17,1,0,412,1,1,1 +445,orlando gomez,orlando,gomez,2013-02-23,Male,1957-11-28,58,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-02-22 07:47:53,2013-02-24 02:27:52,13002760CF10A,2013-02-22,,1,F,Agg Fleeing/Eluding High Speed,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-24,2,1,1133,0,0,0 +446,mikerlie debe,mikerlie,debe,2013-01-01,Female,1994-10-09,21,Less than 25,African-American,0,6,0,0,0,0,2013-01-01 04:17:22,2013-01-02 01:14:43,13000062MM10A,2013-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-01,Risk of Violence,7,Medium,2013-01-01,2013-01-01,2013-01-02,0,1,1186,0,0,0 +450,ernest kinard,ernest,kinard,2013-08-09,Male,1994-08-06,21,Less than 25,African-American,0,5,0,0,1,-36,2013-07-04 07:01:53,2013-08-09 11:23:41,13009398CF10A,2013-07-04,,36,F,Attempted Robbery No Weapon,1,16003477CF10A,(F2),0,2016-03-21,,2016-03-21,2016-04-01,,0,,,,,Risk of Recidivism,5,Medium,2013-08-09,Risk of Violence,7,Medium,2013-08-09,2016-03-21,2016-04-01,1,0,955,1,0,0 +452,steven lux,steven,lux,2013-01-05,Male,1953-06-15,62,Greater than 45,Caucasian,0,1,0,0,0,0,2013-01-05 04:35:31,2013-01-07 03:18:03,13000208CF10A,2013-01-05,,0,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-05,Risk of Violence,1,Low,2013-01-05,2014-03-25,2014-03-26,0,2,444,0,0,0 +456,chandra hintz,chandra,hintz,2013-12-02,Male,1979-03-04,37,25 - 45,Caucasian,0,3,0,0,5,-1,2013-12-01 04:23:01,2013-12-12 03:25:01,13016617CF10A,2013-12-01,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-12,5,10,851,0,0,0 +459,lunie mathurin,lunie,mathurin,2013-12-01,Female,1983-05-22,32,25 - 45,African-American,0,1,0,0,5,0,2013-12-01 12:02:58,2013-12-01 09:53:20,13016612CF10A,2013-11-29,,2,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,2013-12-01,2013-12-01,5,0,852,0,0,0 +461,juan reyes,juan,reyes,2013-12-31,Male,1992-09-30,23,Less than 25,Hispanic,0,3,0,0,0,-1,2013-12-30 11:58:41,2014-02-14 10:05:11,13017986CF10A,2013-12-30,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-31,Risk of Violence,5,Medium,2013-12-31,2015-04-08,2015-04-22,0,45,463,0,0,0 +462,keishon reeves,keishon,reeves,2013-04-08,Male,1988-06-05,27,25 - 45,African-American,0,1,0,0,0,0,2013-04-08 12:40:45,2013-04-09 07:53:30,13006656MM10A,2013-04-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-08,2013-04-09,0,1,1089,0,0,0 +465,melissa davis,melissa,davis,2013-05-28,Female,1974-03-11,42,25 - 45,Caucasian,0,2,0,0,0,-3,2013-05-25 04:27:15,2013-05-26 07:10:19,13007473CF10A,2013-05-25,,3,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-07-24,2013-08-12,0,0,57,0,0,0 +467,franki vixama,franki,vixama,2013-03-16,Male,1991-07-21,24,Less than 25,Other,0,10,1,0,9,-1,2013-03-15 12:03:21,2013-03-20 02:58:22,13003838CF10A,2013-03-15,,1,F,Resist Officer w/Violence,1,13010824MM10A,(M1),1,2013-06-04,Resist/Obstruct W/O Violence,2013-06-05,2013-07-19,,1,13010824MM10A,(M2),2013-06-04,Assault,Risk of Recidivism,10,High,2013-03-16,Risk of Violence,10,High,2013-03-16,2013-03-15,2013-03-20,9,4,80,1,1,1 +468,seymour brown,seymour,brown,2014-01-14,Male,1988-04-23,27,25 - 45,African-American,0,2,0,0,0,0,2014-01-14 03:37:34,2014-01-31 09:03:48,14000626CF10A,2014-01-14,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-14,Risk of Violence,3,Low,2014-01-14,2014-01-14,2014-01-31,0,17,808,0,0,0 +474,ann-marie cassagnol,ann-marie,cassagnol,2014-03-22,Female,1964-08-13,51,Greater than 45,Caucasian,0,1,0,0,0,0,2014-03-22 02:29:28,2014-03-23 09:07:31,14004060CF10A,2014-03-21,,1,M,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-22,2014-03-23,0,1,741,0,0,0 +475,stephen kushner,stephen,kushner,2013-12-11,Male,1959-11-10,56,Greater than 45,Caucasian,0,1,0,0,0,0,2013-12-11 03:02:20,2013-12-12 08:42:00,13017125CF10A,2013-12-10,,1,M,Battery On Parking Enfor Speci,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2013-12-11,2013-12-12,0,1,842,0,0,0 +478,patrick scott,patrick,scott,2013-04-25,Male,1986-09-04,29,25 - 45,African-American,0,9,0,0,7,-1,2013-04-24 05:02:29,2013-04-25 09:15:28,13001900CF10A,,2013-04-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-25,Risk of Violence,6,Medium,2013-04-25,2013-04-24,2013-04-25,7,0,1072,0,0,0 +481,david daffron,david,daffron,2013-10-03,Male,1963-02-19,53,Greater than 45,Caucasian,0,1,0,0,6,-176,2013-04-10 03:34:51,2013-10-01 05:23:18,13005144CF10A,,2013-04-10,176,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-04-10,2013-10-01,6,0,911,0,0,0 +484,kristopher thibault,kristopher,thibault,2013-02-22,Male,1988-06-24,27,25 - 45,Caucasian,0,5,0,0,8,-1,2013-02-21 07:20:51,2013-04-30 10:43:29,13002078CF10A,,2013-02-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-22,Risk of Violence,3,Low,2013-02-22,2014-02-27,2014-10-24,8,67,370,0,0,0 +485,lamuel forbes,lamuel,forbes,2013-03-26,Male,1992-03-15,24,Less than 25,African-American,0,9,1,0,2,-1,2013-03-25 02:04:33,2013-04-13 05:00:10,13004300CF10A,2013-03-25,,1,F,Burglary Structure Unoccup,1,13007869CF10A,(M1),0,2013-06-03,Resist/Obstruct W/O Violence,2013-06-03,2013-07-26,,1,14009712CF10A,(F3),2014-07-15,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2013-03-26,Risk of Violence,9,High,2013-03-26,2013-06-03,2013-07-26,2,18,69,1,1,1 +489,michael rosa,michael,rosa,2013-10-04,Male,1988-04-15,28,25 - 45,Caucasian,0,3,0,0,2,0,2013-10-04 01:55:36,2013-10-05 07:07:26,13018910MM10A,2013-10-03,,1,M,Battery,1,14009686TC30A,(M2),,2014-01-19,Driving License Suspended,,,,1,14017790MM10A,(M1),2014-11-27,Battery,Risk of Recidivism,3,Low,2013-10-04,Risk of Violence,4,Low,2013-10-04,2013-10-04,2013-10-05,2,1,107,1,1,1 +493,michael peter,michael,peter,2013-03-13,Male,1971-01-06,45,Greater than 45,African-American,0,1,0,0,1,,,,13003680CF10A,2013-03-12,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,,,1,0,1115,0,0,0 +494,carlos vasquez,carlos,vasquez,2013-08-02,Male,1995-01-17,21,Less than 25,Hispanic,0,5,1,0,3,-22,2013-07-11 04:30:33,2013-08-02 06:07:24,13009721CF10A,2013-07-11,,22,F,Grand Theft in the 3rd Degree,1,15011166MM10A,(M1),,2015-10-24,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-02,Risk of Violence,6,Medium,2013-08-02,2014-12-16,2015-01-09,3,0,501,0,0,0 +495,kia rodriquez,kia,rodriquez,2013-05-06,Female,1979-07-02,36,25 - 45,African-American,0,7,0,0,0,-1,2013-05-05 08:31:15,2013-05-17 08:35:57,13006433CF10A,2013-05-05,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-06,Risk of Violence,5,Medium,2013-05-06,2013-05-05,2013-05-17,0,11,1061,0,0,0 +497,helen carrillo,helen,carrillo,2013-04-04,Female,1992-06-09,23,Less than 25,Hispanic,0,3,0,0,1,0,2013-04-04 01:13:56,2013-04-04 11:28:44,13006418MM10A,2013-04-03,,1,M,Operating W/O Valid License,1,15022411TC10A,(M2),0,2015-07-07,Operating W/O Valid License,2015-07-07,2015-07-17,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,4,Low,2013-04-04,2015-07-07,2015-07-17,1,0,824,1,0,0 +499,justin knoll,justin,knoll,2014-03-03,Male,1988-02-24,28,25 - 45,Caucasian,0,5,0,0,1,-4,2014-02-27 04:28:02,2014-02-28 08:49:55,14002778CF10A,2014-02-27,,4,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-03,Risk of Violence,3,Low,2014-03-03,2014-07-16,2014-07-17,1,0,135,0,0,0 +501,derek huffman,derek,huffman,2013-12-23,Male,1979-05-31,36,25 - 45,Caucasian,0,3,0,0,0,-1,2013-12-22 08:25:20,2013-12-23 01:09:26,13023661MM10A,2013-12-22,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-23,Risk of Violence,3,Low,2013-12-23,2013-12-22,2013-12-23,0,0,830,0,0,0 +502,theronardo williams,theronardo,williams,2014-03-13,Male,1992-04-02,24,Less than 25,African-American,0,3,0,0,0,-1,2014-03-12 07:36:15,2014-03-13 01:26:58,14003529CF10A,2014-03-12,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,4,Low,2014-03-13,2014-03-12,2014-03-13,0,0,750,0,0,0 +505,tracee chang-scott,tracee,chang-scott,2014-03-02,Male,1986-05-02,29,25 - 45,African-American,0,1,0,0,0,-1,2014-03-01 02:42:35,2014-03-02 08:38:51,14002914CF10A,2014-03-01,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-02,Risk of Violence,2,Low,2014-03-02,2014-03-01,2014-03-02,0,0,761,0,0,0 +509,marilyn cuello,marilyn,cuello,2013-03-22,Female,1986-04-16,30,25 - 45,Caucasian,0,6,0,0,0,0,2013-03-22 12:02:23,2013-03-26 09:46:14,13005576MM10A,2013-03-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-22,Risk of Violence,2,Low,2013-03-22,2013-03-22,2013-03-26,0,4,1106,0,0,0 +510,rafael magana,rafael,magana,2013-12-27,Male,1964-05-15,51,Greater than 45,Hispanic,0,1,0,0,1,-1,2013-12-26 04:15:54,2013-12-27 07:50:46,13023827MM10A,2013-12-25,,2,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,1,Low,2013-12-27,2013-12-26,2013-12-27,1,0,826,0,0,0 +511,hudson silva,hudson,silva,2013-12-05,Male,1983-03-08,33,25 - 45,Other,0,1,0,0,3,-94,2013-09-02 03:40:45,2013-09-05 04:28:45,13012376CF10A,2013-09-02,,94,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2013-09-02,2013-09-05,3,0,848,0,0,0 +512,samantha brown,samantha,brown,2013-12-18,Female,1990-08-10,25,25 - 45,African-American,0,6,0,0,2,-86,2013-09-23 08:31:28,2013-09-25 07:03:03,13013459CF10A,,2013-09-23,86,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-18,Risk of Violence,5,Medium,2013-12-18,2015-06-09,2015-07-06,2,0,538,0,0,0 +516,frederick pinkney,frederick,pinkney,2013-02-16,Male,1983-09-14,32,25 - 45,African-American,0,9,1,0,12,-1,2013-02-15 12:13:14,2013-02-17 01:27:01,13002355CF10A,,2013-02-15,1,F,arrest case no charge,1,14007605TC10A,(M2),,2014-02-12,Driving License Suspended,,,,1,15000254CF10A,(F2),2015-01-06,Robbery / No Weapon,Risk of Recidivism,9,High,2013-02-16,Risk of Violence,7,Medium,2013-02-16,2013-02-15,2013-02-17,12,1,361,1,1,1 +517,quon gwynn,quon,gwynn,2014-01-31,Male,1992-06-15,23,Less than 25,African-American,0,6,0,1,1,0,2014-01-31 01:04:24,2014-02-01 03:16:14,14001353CF10A,2014-01-30,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-31,Risk of Violence,5,Medium,2014-01-31,2014-01-31,2014-02-01,1,1,791,0,0,0 +518,lee humphrey,lee,humphrey,2013-03-25,Male,1968-08-31,47,Greater than 45,African-American,0,3,0,0,3,0,2013-03-25 03:26:29,2013-03-25 07:55:24,13004314CF10A,2013-03-25,,0,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,2,Low,2013-03-25,2013-06-29,2013-06-30,3,0,96,0,0,0 +522,stephen harmon,stephen,harmon,2014-02-25,Male,1978-07-11,37,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-24 05:11:22,2014-03-15 05:53:52,14002620CF10A,2014-02-25,,0,F,Forging Bank Bills/Promis Note,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2015-04-13,2015-04-15,0,18,412,0,0,0 +524,angel bravo,angel,bravo,2014-02-01,Male,1988-06-11,27,25 - 45,Hispanic,0,8,0,0,0,-1,2014-01-31 02:14:52,2014-02-02 04:25:26,14001734MM10A,2014-01-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-01,Risk of Violence,6,Medium,2014-02-01,2014-01-31,2014-02-02,0,1,790,0,0,0 +525,sarada mittapalli,sarada,mittapalli,2013-11-27,Male,1976-07-29,39,25 - 45,Other,0,1,0,0,0,-1,2013-11-26 06:08:42,2013-11-27 02:09:15,13022234MM10A,2013-11-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-27,Risk of Violence,1,Low,2013-11-27,2013-11-26,2013-11-27,0,0,856,0,0,0 +526,kayli wagner,kayli,wagner,2013-02-21,Female,1994-10-07,21,Less than 25,Caucasian,0,6,0,2,0,0,2013-02-21 05:16:18,2013-02-21 09:22:51,13002684CF10A,2013-02-21,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-21,Risk of Violence,8,High,2013-02-21,2013-02-21,2013-02-21,0,0,1135,0,0,0 +527,barry rabinowitz,barry,rabinowitz,2013-01-31,Male,1946-11-16,69,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-30 08:36:13,2013-01-31 07:20:04,13001514CF10A,2013-01-30,,1,M,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-31,Risk of Violence,1,Low,2013-01-31,2013-01-30,2013-01-31,0,0,1156,0,0,0 +530,robert yamin,robert,yamin,2013-11-07,Male,1994-06-29,21,Less than 25,Caucasian,0,6,0,0,2,-1,2013-11-06 07:01:58,2013-11-08 09:11:46,13015487CF10A,,2013-11-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-07,Risk of Violence,6,Medium,2013-11-07,2015-06-07,2015-06-10,2,1,577,0,0,0 +532,ryan carr,ryan,carr,2013-12-09,Male,1994-01-24,22,Less than 25,Caucasian,0,4,0,0,0,-2,2013-12-07 01:04:19,2013-12-07 02:19:36,13016886CF10A,2013-12-06,,3,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-09,Risk of Violence,5,Medium,2013-12-09,2013-12-07,2013-12-07,0,0,844,0,0,0 +537,mitchell miller,mitchell,miller,2013-10-15,Male,1966-08-19,49,Greater than 45,African-American,0,5,0,0,3,0,2013-10-15 12:10:18,2013-10-19 05:47:48,13014372CF10A,2013-10-14,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-15,Risk of Violence,4,Low,2013-10-15,2015-09-04,2015-09-09,3,4,689,0,0,0 +538,andrew flowers,andrew,flowers,2013-01-30,Male,1986-10-24,29,25 - 45,African-American,0,4,0,1,2,-1,2013-01-29 11:52:49,2013-03-21 07:00:48,13002104MM10A,2013-01-29,,1,M,Battery,1,15004089CF10A,(F3),0,2015-03-27,Possession of Cannabis,2015-03-27,2015-03-28,,0,,,,,Risk of Recidivism,4,Low,2013-01-30,Risk of Violence,3,Low,2013-01-30,2015-03-27,2015-03-28,2,50,786,1,0,0 +540,john cooper,john,cooper,2013-10-14,Female,1955-09-14,60,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-13 05:34:29,2013-10-14 02:36:01,13019421MM10A,2013-10-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,2013-10-13,2013-10-14,0,0,900,0,0,0 +541,peticia curtis,peticia,curtis,2013-02-05,Female,1989-10-15,26,25 - 45,African-American,0,10,0,0,0,,,,,,,,M,,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-05,Risk of Violence,10,High,2013-02-05,2013-03-30,2013-09-07,0,0,53,0,0,0 +543,rudolfo francisco,rudolfo,francisco,2014-04-05,Male,1981-07-06,34,25 - 45,Hispanic,0,5,0,0,2,47,2014-05-22 09:37:00,2014-12-16 06:22:02,12020160MM10A,,2013-07-08,271,M,arrest case no charge,1,14007140CF10A,(F3),0,2014-05-22,Stalking (Aggravated),2014-05-22,2014-12-16,,1,14007140CF10A,(F3),2014-05-22,Stalking (Aggravated),Risk of Recidivism,5,Medium,2014-04-05,Risk of Violence,2,Low,2014-04-05,2014-05-22,2014-12-16,2,0,47,1,1,1 +545,jamelia hutchinson,jamelia,hutchinson,2013-03-12,Female,1995-12-06,20,Less than 25,Other,1,4,0,0,1,-21,2013-02-19 08:48:32,2013-02-22 07:41:48,13002495CF10A,,2013-02-19,21,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-12,Risk of Violence,7,Medium,2013-03-12,2014-10-29,2015-01-26,1,0,596,0,0,0 +546,jose escobar,jose,escobar,2013-04-22,Male,1980-03-17,36,25 - 45,Hispanic,0,3,0,0,1,0,2013-04-22 02:33:46,2013-07-26 05:05:36,13005775CF10A,2013-04-21,,1,F,Felony/Driving Under Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-22,Risk of Violence,2,Low,2013-04-22,2013-09-29,2013-09-29,1,95,160,0,0,0 +547,christopher loosier,christopher,loosier,2013-05-04,Male,1985-07-07,30,25 - 45,Caucasian,0,4,0,0,0,0,2013-05-04 12:45:31,2013-05-06 08:53:01,13006396CF10A,2013-05-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-04,Risk of Violence,3,Low,2013-05-04,2013-05-04,2013-05-06,0,2,1063,0,0,0 +548,newton smith,newton,smith,2013-06-17,Male,1995-01-28,21,Less than 25,African-American,0,3,1,0,1,-1,2013-06-16 12:36:42,2013-06-16 07:01:42,13008471CF10A,2013-06-15,,2,F,Grand Theft in the 3rd Degree,1,16003711TC20A,(M2),,2016-01-20,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-17,Risk of Violence,6,Medium,2013-06-17,2013-06-16,2013-06-16,1,0,947,1,0,0 +553,edward gelsey,edward,gelsey,2013-05-08,Male,1959-01-31,57,Greater than 45,African-American,0,8,0,0,18,,,,08000963CF10A,,2008-04-30,1834,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-08,Risk of Violence,7,Medium,2013-05-08,2002-08-20,2003-11-16,18,0,1059,0,0,0 +561,jacob maynard,jacob,maynard,2014-02-04,Male,1982-01-17,34,25 - 45,Caucasian,0,1,0,0,1,0,2014-02-04 03:26:12,2014-02-04 08:29:18,14001956MM10A,2014-02-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-04,2014-02-04,1,0,787,0,0,0 +567,daria demarinis,daria,demarinis,2013-12-22,Female,1962-11-08,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-21 05:26:48,2013-12-22 01:41:48,13023548MM10A,2013-12-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-21,2013-12-22,1,0,831,0,0,0 +569,stephanie williams,stephanie,williams,2013-12-14,Female,1991-10-11,24,Less than 25,African-American,0,4,0,0,0,-1,2013-12-13 03:13:07,2013-12-14 07:19:53,13017250CF10A,2013-12-13,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-14,Risk of Violence,4,Low,2013-12-14,2013-12-13,2013-12-14,0,0,839,0,0,0 +572,frantz pointdujour,frantz,pointdujour,2013-06-12,Male,1974-01-10,42,25 - 45,African-American,0,1,0,0,1,-12,2013-05-31 04:44:14,2013-06-04 10:17:31,13007775CF10A,,2013-05-30,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-12,Risk of Violence,1,Low,2013-06-12,2013-05-31,2013-06-04,1,0,1024,0,0,0 +573,andre small,andre,small,2013-04-03,Male,1987-10-01,28,25 - 45,African-American,0,3,0,0,1,-1,2013-04-02 12:18:46,2013-04-04 07:54:22,13006354MM10A,2013-04-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-03,Risk of Violence,3,Low,2013-04-03,2013-04-02,2013-04-04,1,1,1094,0,0,0 +574,brad dolph,brad,dolph,2014-02-28,Male,1992-03-13,24,Less than 25,Caucasian,0,4,0,0,1,-36,2014-01-23 01:33:51,2014-02-28 11:14:41,14001265MM10A,2014-01-22,,37,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-28,Risk of Violence,4,Low,2014-02-28,2014-01-23,2014-02-28,1,0,763,0,0,0 +579,damien waller,damien,waller,2013-02-05,Male,1994-02-10,22,Less than 25,African-American,0,9,0,0,4,-1,2013-02-04 02:09:53,2013-10-22 06:51:11,13001727CF10A,2013-02-04,,1,F,Grand Theft in the 3rd Degree,1,15000864CF10A,(F3),0,2015-01-20,Robbery Sudd Snatch No Weapon,2015-01-20,2015-08-06,,1,15000864CF10A,(F3),2015-01-20,Robbery Sudd Snatch No Weapon,Risk of Recidivism,9,High,2013-02-05,Risk of Violence,9,High,2013-02-05,2015-01-20,2015-08-06,4,574,714,1,1,1 +580,tyler gay,tyler,gay,2013-08-12,Male,1994-08-04,21,Less than 25,Caucasian,0,7,0,0,3,-8,2013-08-04 03:23:17,2013-08-10 01:02:53,13010743MM10A,,2013-08-04,8,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-12,Risk of Violence,8,High,2013-08-12,2013-08-04,2013-08-10,3,0,963,0,0,0 +584,devaughn bryan,devaughn,bryan,2013-05-16,Male,1980-04-29,35,25 - 45,African-American,0,5,0,0,2,-1,2013-05-15 04:19:38,2013-05-20 09:26:57,13006929CF10A,2013-05-15,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-16,Risk of Violence,5,Medium,2013-05-16,2013-05-15,2013-05-20,2,4,1051,0,0,0 +586,marvin butler,marvin,butler,2013-08-07,Male,1962-12-30,53,Greater than 45,African-American,0,1,0,0,2,-1,2013-08-06 07:34:06,2013-08-07 01:05:18,13011035CF10A,2013-08-06,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,2013-08-06,2013-08-07,2,0,968,0,0,0 +587,roger browne,roger,browne,2014-02-11,Male,1955-10-17,60,Greater than 45,African-American,0,1,0,0,1,,,,07006838CF10A,,2010-11-16,1183,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-11,Risk of Violence,1,Low,2014-02-11,2010-06-22,2010-11-22,1,0,780,0,0,0 +588,justin nowell,justin,nowell,2013-08-16,Male,1987-02-28,29,25 - 45,African-American,0,4,0,0,7,-1,2013-08-15 04:47:18,2013-08-16 10:21:01,13011483CF10A,2013-08-15,,1,F,Possession of Cocaine,1,16000435MM20A,(M1),,2016-01-28,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-16,Risk of Violence,3,Low,2013-08-16,2015-09-28,2015-10-02,7,0,773,0,0,0 +590,andrew calderaro,andrew,calderaro,2013-02-09,Male,1967-10-07,48,Greater than 45,Caucasian,1,8,0,0,23,-1,2013-02-08 07:54:34,2014-02-04 06:26:47,13002009CF10A,2013-02-08,,1,F,Felony Petit Theft,1,14017095CF10A,(F3),,2014-12-28,Felony Petit Theft,,,,1,14017095CF10A,(M1),2014-12-28,Battery,Risk of Recidivism,8,High,2013-02-09,Risk of Violence,5,Medium,2013-02-09,2014-02-04,2014-11-11,23,640,687,1,1,1 +594,evelyn rivera,evelyn,rivera,2013-03-25,Female,1964-04-17,52,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-25 04:21:35,2013-03-25 08:42:53,13005850MM10A,2013-03-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-25,2013-03-25,0,0,1103,0,0,0 +598,willie wilson,willie,wilson,2013-02-13,Male,1987-09-14,28,25 - 45,African-American,0,9,0,0,5,0,2013-02-13 02:14:41,2013-04-05 08:12:59,12002931CF10A,,2013-02-13,0,F,arrest case no charge,1,15026130TC10A,(M2),0,2015-09-22,Operating W/O Valid License,2015-09-22,2015-10-07,,0,,,,,Risk of Recidivism,9,High,2013-02-13,Risk of Violence,6,Medium,2013-02-13,2015-09-22,2015-10-07,5,51,951,1,0,0 +599,daniel campos,daniel,campos,2013-12-22,Male,1982-07-02,33,25 - 45,Caucasian,0,3,0,0,3,0,2013-12-22 01:14:52,2013-12-22 07:48:32,13023564MM10A,2013-12-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-22,2013-12-22,3,0,831,0,0,0 +600,jessica soto,jessica,soto,2013-04-05,Female,1988-03-02,28,25 - 45,Hispanic,0,2,0,0,0,-1,2013-04-04 03:19:29,2013-04-06 12:28:11,13004844CF10A,,2013-04-04,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-05,Risk of Violence,2,Low,2013-04-05,2013-04-04,2013-04-06,0,1,1092,0,0,0 +603,christopher larmond,christopher,larmond,2013-04-05,Male,1987-04-09,29,25 - 45,African-American,1,5,0,0,2,-1,2013-04-04 11:24:09,2013-04-06 08:01:53,13004855CF10A,2013-04-04,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-05,Risk of Violence,5,Medium,2013-04-05,2013-04-04,2013-04-06,2,1,1092,0,0,0 +605,gueslly deravine,gueslly,deravine,2013-03-27,Male,1989-11-30,26,25 - 45,African-American,0,7,0,2,6,-34,2013-02-21 01:31:52,2013-02-21 07:44:48,13002675CF10A,2013-02-20,,35,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-27,Risk of Violence,7,Medium,2013-03-27,2013-12-24,2014-02-10,6,0,272,0,0,0 +608,christopher tokarz,christopher,tokarz,2013-03-27,Male,1990-05-31,25,25 - 45,Caucasian,0,2,0,0,0,0,2013-03-27 02:09:08,2013-03-27 06:55:04,13004427CF10A,2013-03-26,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-03-27,2013-03-27,0,0,1101,0,0,0 +609,richard kelly,richard,kelly,2013-10-08,Male,1947-10-19,68,Greater than 45,Caucasian,0,1,0,0,2,-150,2013-05-11 07:27:55,2013-05-12 02:24:08,13006761CF10A,2013-05-11,,150,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-08,Risk of Violence,1,Low,2013-10-08,2013-05-11,2013-05-12,2,0,906,0,0,0 +611,ephiram burnette,ephiram,burnette,2013-01-04,Male,1959-05-19,56,Greater than 45,African-American,0,3,0,0,5,-1,2013-01-03 05:51:09,2013-01-15 07:43:49,13000103CF10A,2013-01-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-06-11,2013-11-01,5,11,158,0,0,0 +612,carlton brown,carlton,brown,2013-09-04,Male,1988-11-16,27,25 - 45,African-American,0,8,0,0,9,-1,2013-09-03 03:15:25,2013-10-25 06:07:27,13012422CF10A,2013-09-03,,1,F,Aggravated Battery / Pregnant,1,14015983CF10A,(F2),0,2014-11-30,Aggravated Battery / Pregnant,2014-11-30,2015-02-04,,1,14015983CF10A,(F2),2014-11-30,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2013-09-04,Risk of Violence,8,High,2013-09-04,2013-10-29,2013-12-11,9,51,55,0,1,1 +616,andre wilson,andre,wilson,2013-02-07,Male,1983-11-30,32,25 - 45,African-American,0,2,0,0,3,0,2013-02-07 02:19:38,2013-02-08 05:35:52,13001912CF10A,2013-02-06,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-07,Risk of Violence,2,Low,2013-02-07,2014-06-16,2014-06-20,3,1,494,0,0,0 +617,jean lumene,jean,lumene,2013-11-26,Male,1955-07-16,60,Greater than 45,Other,0,1,0,0,4,-1,2013-11-25 05:03:19,2013-11-26 08:38:12,13016424CF10A,,2013-11-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2015-01-08,2015-01-09,4,0,408,0,0,0 +621,christopher pantoja,christopher,pantoja,2013-04-29,Male,1992-06-18,23,Less than 25,Hispanic,0,3,0,0,1,-5,2013-04-24 07:55:53,2013-04-29 12:20:11,13010212MM10A,2013-04-24,,5,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,4,Low,2013-04-29,2013-04-24,2013-04-29,1,0,1068,0,0,0 +622,andrew ward,andrew,ward,2013-06-20,Female,1976-04-26,39,25 - 45,Caucasian,0,6,0,0,0,-2,2013-06-18 07:12:57,2013-06-19 06:12:35,13011699MM10A,2013-06-18,,2,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-20,Risk of Violence,2,Low,2013-06-20,2013-06-18,2013-06-19,0,0,1016,0,0,0 +623,dean serfis,dean,serfis,2013-10-19,Male,1959-05-23,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-18 08:52:53,2013-10-19 08:16:43,13019771MM10A,2013-10-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-19,Risk of Violence,1,Low,2013-10-19,2013-10-18,2013-10-19,0,0,895,0,0,0 +624,kandice metayer,kandice,metayer,2013-08-24,Female,1993-12-03,22,Less than 25,African-American,0,7,0,0,0,0,2013-08-24 02:29:37,2013-08-24 08:38:38,13011936CF10A,2013-08-23,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-24,Risk of Violence,8,High,2013-08-24,2013-08-24,2013-08-24,0,0,951,0,0,0 +627,leroy battie,leroy,battie,2013-04-19,Male,1963-02-06,53,Greater than 45,African-American,0,6,0,0,11,-1,2013-04-18 08:45:19,2013-08-06 09:11:16,13005565CF10A,,2013-04-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-19,Risk of Violence,3,Low,2013-04-19,2013-04-18,2013-08-06,11,109,1078,0,0,0 +629,kenny castillo,kenny,castillo,2013-10-28,Male,1995-03-28,21,Less than 25,Hispanic,0,3,0,0,0,0,2013-10-28 03:10:30,2013-10-28 07:42:27,13020395MM10A,2013-10-28,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-28,Risk of Violence,6,Medium,2013-10-28,2013-10-28,2013-10-28,0,0,886,0,0,0 +630,daniel fosca,daniel,fosca,2014-02-09,Male,1993-10-02,22,Less than 25,Caucasian,0,3,0,0,0,-1,2014-02-08 09:30:32,2014-02-10 08:41:20,14001802CF10A,2014-02-08,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-09,Risk of Violence,5,Medium,2014-02-09,2014-02-08,2014-02-10,0,1,782,0,0,0 +633,leslie fanning,leslie,fanning,2013-04-29,Female,1957-07-29,58,Greater than 45,Caucasian,0,1,0,0,2,-23,2013-04-06 08:22:37,2013-04-07 12:56:04,13006620MM10A,2013-04-06,,23,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-10-29,2013-11-15,2,0,183,0,0,0 +639,ronelson stark,ronelson,stark,2013-09-15,Male,1973-10-04,42,25 - 45,Other,0,1,0,0,1,-1,2013-09-14 06:17:52,2013-09-16 07:28:47,13013046CF10A,,2013-09-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-15,Risk of Violence,1,Low,2013-09-15,2013-09-14,2013-09-16,1,1,929,0,0,0 +641,edward holloway,edward,holloway,2014-11-03,Male,1986-11-08,29,25 - 45,Caucasian,0,6,0,0,0,0,2014-11-03 02:36:08,2014-11-08 12:48:35,14015878MM10A,2014-11-03,,0,M,Battery,1,15012389MM10A,(M1),,2015-11-29,Battery,,,,1,15012389MM10A,(M1),2015-11-29,Battery,Risk of Recidivism,6,Medium,2014-11-03,Risk of Violence,4,Low,2014-11-03,2014-11-03,2014-11-08,0,5,391,1,1,1 +643,courtney battle,courtney,battle,2013-12-02,Male,1987-04-16,29,25 - 45,African-American,0,10,0,0,8,178,2014-05-29 12:37:30,2014-08-25 03:36:26,12002654CF10A,,2012-03-28,614,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-02,Risk of Violence,9,High,2013-12-02,2014-05-29,2014-08-25,8,0,178,0,0,0 +645,bernard scott,bernard,scott,2013-02-14,Male,1993-11-25,22,Less than 25,African-American,0,7,0,0,3,-1,2013-02-13 05:57:01,2013-05-30 09:53:38,13002233CF10A,2013-02-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-14,Risk of Violence,6,Medium,2013-02-14,2014-04-10,2014-04-16,3,105,420,0,0,0 +647,cesar turcios,cesar,turcios,2013-01-18,Male,1979-02-13,37,25 - 45,Caucasian,0,4,0,0,0,0,2013-01-18 05:11:46,2013-01-18 08:38:29,13000889CF10A,2013-01-18,,0,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-18,Risk of Violence,3,Low,2013-01-18,2013-01-18,2013-01-18,0,0,1169,0,0,0 +649,alejandro remis,alejandro,remis,2013-08-19,Male,1988-10-11,27,25 - 45,Caucasian,0,1,0,0,3,-22,2013-07-28 02:14:16,2013-07-28 02:01:46,13010525CF10A,2013-07-28,,22,M,Fleeing or Eluding a LEO,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-07-28,2013-07-28,3,0,956,0,0,0 +651,ervin watson,ervin,watson,2013-04-12,Male,1990-02-18,26,25 - 45,African-American,0,4,0,0,3,0,2013-04-12 06:16:59,2013-05-15 07:34:15,13005307CF10A,2013-04-12,,0,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-07-09,2013-07-10,3,33,88,0,0,0 +654,aaron hullander,aaron,hullander,2013-12-09,Male,1983-02-19,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-08 02:41:16,2013-12-09 08:36:04,13016972CF10A,2013-12-08,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,2,Low,2013-12-09,2013-12-08,2013-12-09,0,0,844,0,0,0 +656,sean naar,sean,naar,2013-01-07,Male,1987-01-25,29,25 - 45,African-American,0,6,0,0,2,-1,2013-01-06 10:04:53,2013-01-07 09:20:44,12015053CF10A,,2013-01-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-07,Risk of Violence,3,Low,2013-01-07,2013-01-06,2013-01-07,2,0,1180,0,0,0 +660,carlos rosario,carlos,rosario,2013-10-15,Male,1980-04-10,36,25 - 45,Caucasian,0,1,0,0,2,-1,2013-10-14 07:59:18,2013-10-15 07:40:50,13019495MM10A,2013-10-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-15,Risk of Violence,1,Low,2013-10-15,2013-10-14,2013-10-15,2,0,899,0,0,0 +662,lisette echevarria,lisette,echevarria,2013-04-26,Female,1991-12-20,24,Less than 25,Caucasian,0,5,0,0,0,0,2013-04-26 02:32:29,2013-04-26 08:01:47,13006023CF10A,2013-04-25,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2013-04-26,2013-04-26,0,0,1071,0,0,0 +664,robson de souza,robson,de souza,2013-05-13,Male,1982-03-22,34,25 - 45,Caucasian,0,1,0,0,0,0,2013-05-13 06:00:31,2013-05-13 07:26:25,13009229MM10A,2013-05-13,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-13,2013-05-13,0,0,1054,0,0,0 +668,felix manzueta,felix,manzueta,2013-03-12,Male,1990-09-18,25,25 - 45,Hispanic,0,5,0,0,2,-1,2013-03-11 08:47:22,2013-03-12 01:01:00,13003587CF10A,,2013-03-11,1,F,arrest case no charge,1,13008082CF10A,(M1),0,2013-06-07,Resist/Obstruct W/O Violence,2013-06-07,2013-06-09,,1,13008082CF10A,(F2),2013-06-07,Aggravated Battery,Risk of Recidivism,5,Medium,2013-03-12,Risk of Violence,3,Low,2013-03-12,2013-06-07,2013-06-09,2,0,87,1,1,1 +673,adriel stockton,adriel,stockton,2014-09-08,Male,1987-08-26,28,25 - 45,Hispanic,0,5,0,0,2,-263,2013-12-19 10:00:03,2013-12-20 12:55:18,12008430MM10A,,2013-12-19,263,M,arrest case no charge,1,15015390CF10A,(F2),0,2015-11-27,Robbery / No Weapon,2015-11-27,2015-12-11,,1,15015390CF10A,(F3),2015-11-27,Battery on a Person Over 65,Risk of Recidivism,5,Medium,2014-09-08,Risk of Violence,3,Low,2014-09-08,2015-11-27,2015-12-11,2,0,445,1,1,1 +674,haveard cobb,haveard,cobb,2013-09-24,Male,1991-07-14,24,Less than 25,African-American,0,2,0,0,1,-1,2013-09-23 10:13:09,2013-09-25 09:17:37,13018140MM10A,2013-09-23,,1,M,Battery,1,14009581MM10A,(M1),0,2014-06-18,Battery,2014-06-18,2014-06-19,,1,14009581MM10A,(M1),2014-06-18,Battery,Risk of Recidivism,2,Low,2013-09-24,Risk of Violence,4,Low,2013-09-24,2014-06-18,2014-06-19,1,1,267,1,1,1 +675,thomas zaremba,thomas,zaremba,2013-01-22,Male,1954-08-28,61,Greater than 45,Caucasian,0,1,0,0,4,-1,2013-01-21 08:12:45,2013-01-23 02:40:57,01006487CF10D,,2013-01-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-22,Risk of Violence,1,Low,2013-01-22,2013-01-21,2013-01-23,4,1,1165,0,0,0 +678,johnnie randell,johnnie,randell,2014-03-05,Female,1965-12-14,50,Greater than 45,African-American,0,2,0,0,3,0,2014-03-05 12:31:35,2014-03-05 08:38:53,14003105CF10A,2014-03-04,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-05,Risk of Violence,1,Low,2014-03-05,2014-03-05,2014-03-05,3,0,758,0,0,0 +679,anthony louis,anthony,louis,2013-03-19,Male,1985-07-19,30,25 - 45,African-American,0,1,0,0,1,0,2013-03-19 01:34:13,2013-03-23 12:51:55,13005335MM10A,2013-03-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-19,Risk of Violence,2,Low,2013-03-19,2013-03-19,2013-03-23,1,4,1109,0,0,0 +680,broderick alston,broderick,alston,2013-11-30,Male,1977-09-04,38,25 - 45,African-American,0,3,0,0,5,-1,2013-11-29 07:00:11,2013-11-30 12:28:10,13016563CF10A,2013-11-29,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-30,Risk of Violence,2,Low,2013-11-30,2013-11-29,2013-11-30,5,0,853,0,0,0 +681,christopher kasten,christopher,kasten,2013-12-13,Male,1991-06-06,24,Less than 25,Caucasian,0,1,0,0,0,-1,2013-12-12 09:51:57,2013-12-13 01:45:42,13023013MM10A,2013-12-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-13,Risk of Violence,2,Low,2013-12-13,2013-12-12,2013-12-13,0,0,840,0,0,0 +684,steven wilson,steven,wilson,2013-10-02,Male,1971-03-19,45,Greater than 45,African-American,0,2,0,0,16,-83,2013-07-11 11:35:36,2013-09-14 03:05:59,13010099CF10A,,2013-07-17,77,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-07-11,2013-09-14,16,0,912,0,0,0 +687,trevoy williams,trevoy,williams,2014-10-30,Male,1995-08-20,20,Less than 25,Other,0,8,0,1,0,-1,2014-10-29 03:32:22,2014-11-20 08:32:38,14014530CF10A,2014-10-29,,1,F,Possession of Cocaine,1,15003795CF10A,(F3),0,2015-03-20,Possession Of Alprazolam,2015-03-20,2015-04-13,,1,15003795CF10A,(M2),2015-03-20,Assault,Risk of Recidivism,8,High,2014-10-30,Risk of Violence,6,Medium,2014-10-30,2015-03-20,2015-04-13,0,21,141,1,1,1 +688,ian turnbull,ian,turnbull,2013-04-17,Male,1989-03-05,27,25 - 45,African-American,0,8,0,0,13,-1,2013-04-16 07:03:53,2013-04-17 10:30:53,13007374MM10A,2013-04-16,,1,M,Possess Cannabis/20 Grams Or Less,1,15004896MM10A,(M1),,2015-04-06,Battery,,,,1,15004896MM10A,(M1),2015-04-06,Battery,Risk of Recidivism,8,High,2013-04-17,Risk of Violence,9,High,2013-04-17,2016-03-18,2016-03-18,13,0,719,1,1,1 +689,beverly smith,beverly,smith,2013-08-07,Female,1964-10-23,51,Greater than 45,African-American,0,8,0,0,16,-122,2013-04-07 10:07:51,2013-06-12 10:56:00,13004969CF10A,2013-04-07,,122,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-07,Risk of Violence,1,Low,2013-08-07,2013-04-07,2013-06-12,16,0,968,0,0,0 +694,stephen washburn,stephen,washburn,2014-02-16,Male,1987-05-08,28,25 - 45,Caucasian,0,4,0,0,1,0,2014-02-16 12:19:08,2014-02-20 12:30:39,14002157CF10A,2014-02-15,,1,F,Agg Battery Grt/Bod/Harm,1,14011224MM10A,(M2),0,2014-07-23,Assault,2014-07-23,2014-08-14,,1,14011224MM10A,(M2),2014-07-23,Assault,Risk of Recidivism,4,Low,2014-02-16,Risk of Violence,3,Low,2014-02-16,2014-07-23,2014-08-14,1,4,157,1,1,1 +700,brandon whitfield,brandon,whitfield,2013-03-05,Male,1989-07-22,26,25 - 45,African-American,1,9,1,0,10,-1,2013-03-04 11:33:53,2013-03-05 04:54:32,13003239CF10A,2013-03-04,,1,F,Aggravated Battery,1,14008023CF10A,(F3),0,2014-06-10,Poss Pyrrolidinovalerophenone,2014-06-10,2014-06-10,,1,15008298CF10A,(F3),2015-06-27,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2013-03-05,Risk of Violence,6,Medium,2013-03-05,2014-06-10,2014-06-10,10,0,462,0,1,1 +701,eddie mosley,eddie,mosley,2013-09-11,Male,1987-08-20,28,25 - 45,African-American,0,10,0,0,5,-1,2013-09-10 04:03:57,2013-09-11 08:05:58,13012799CF10A,2013-09-10,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-11,Risk of Violence,10,High,2013-09-11,2013-09-10,2013-09-11,5,0,933,0,0,0 +703,robert zinser,robert,zinser,2013-12-12,Male,1953-03-17,63,Greater than 45,Caucasian,0,1,0,0,2,-3,2013-12-09 08:43:05,2013-12-12 10:30:31,13017021CF10A,2013-12-09,,3,F,Felony DUI (level 3),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-12,Risk of Violence,1,Low,2013-12-12,2014-06-25,2014-06-30,2,0,195,0,0,0 +704,richard brown,richard,brown,2013-04-17,Male,1973-12-15,42,25 - 45,African-American,0,1,0,0,0,0,2013-04-17 03:45:48,2013-04-18 05:26:44,13005521CF10A,2013-04-17,,0,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2013-04-17,2013-04-18,0,1,1080,0,0,0 +707,davion silvera,davion,silvera,2013-04-20,Male,1992-06-04,23,Less than 25,African-American,1,6,2,2,6,-1,2013-04-19 04:56:58,2013-04-20 01:49:41,13005638CF10A,2013-04-19,,1,F,Driving While License Revoked,1,15010863CF10A,(F3),0,2015-08-22,False Imprisonment,2015-08-22,2015-08-23,,1,15010863CF10A,(M1),2015-08-22,Battery,Risk of Recidivism,6,Medium,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2013-10-03,2013-10-25,6,0,166,0,0,0 +712,derrick stephenson,derrick,stephenson,2014-01-16,Male,1962-03-27,54,Greater than 45,African-American,0,1,0,0,2,-26,2013-12-21 05:27:36,2013-12-22 01:10:00,13023551MM10A,2013-12-21,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2013-12-21,2013-12-22,2,0,806,0,0,0 +716,larence brown,larence,brown,2014-03-10,Male,1981-02-12,35,25 - 45,African-American,0,2,0,0,1,-1,2014-03-09 10:01:46,2014-03-10 09:42:18,14004071MM10A,2014-03-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-10,Risk of Violence,2,Low,2014-03-10,2014-03-09,2014-03-10,1,0,753,0,0,0 +718,tavon session,tavon,session,2013-11-19,Male,1995-09-20,20,Less than 25,African-American,0,10,0,0,1,0,2013-11-19 02:33:54,2013-11-21 03:37:00,13016073CF10A,2013-11-19,,0,F,Fraudulent Use of Credit Card,1,14002743MM10A,(M1),1,2014-02-16,Unlaw Use False Name/Identity,2014-02-17,2014-02-18,,1,15012940CF10A,(F2),2015-10-06,Agg Flee/Eluding (Injury/Prop Damage),Risk of Recidivism,10,High,2013-11-19,Risk of Violence,10,High,2013-11-19,2014-02-07,2014-02-08,1,2,80,0,1,1 +720,bradley kirker,bradley,kirker,2013-02-04,Male,1964-08-26,51,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-04 02:44:33,2013-03-11 09:01:18,13001737CF10A,2013-02-04,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-04,2013-03-11,0,35,1152,0,0,0 +721,christian rivera,christian,rivera,2013-04-27,Male,1991-06-04,24,Less than 25,Hispanic,0,10,0,0,0,0,2013-04-27 02:50:45,2013-04-28 03:43:53,13006075CF10A,2013-04-26,,1,F,"Poss 3,4 MDMA (Ecstasy)",0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-27,Risk of Violence,7,Medium,2013-04-27,2013-04-27,2013-04-28,0,1,1070,0,0,0 +722,david levy,david,levy,2013-05-30,Male,1979-03-19,37,25 - 45,Caucasian,0,2,0,0,3,-14,2013-05-16 08:42:26,2013-05-23 06:52:01,13007017CF10A,2013-05-16,,14,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-30,Risk of Violence,1,Low,2013-05-30,2013-05-16,2013-05-23,3,0,1037,0,0,0 +724,dori klein,dori,klein,2014-02-26,Male,1969-04-17,47,Greater than 45,Caucasian,0,1,0,0,3,-1,2014-02-25 11:20:43,2014-02-26 09:34:42,14002661CF10A,2014-02-25,,1,F,Drivg While Lic Suspd/Revk/Can,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2014-02-25,2014-02-26,3,0,765,0,0,0 +727,kevin connors,kevin,connors,2013-09-03,Male,1959-05-26,56,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-09-01 11:41:31,2013-09-02 08:47:35,13012358CF10A,2013-09-01,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-03,Risk of Violence,1,Low,2013-09-03,2013-09-01,2013-09-02,0,0,941,0,0,0 +730,cuong do,cuong,do,2013-05-16,Male,1981-03-30,35,25 - 45,Asian,0,6,0,0,0,-1,2013-05-15 03:27:43,2013-08-24 05:06:24,13006952CF10A,2013-05-15,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-16,Risk of Violence,4,Low,2013-05-16,2013-05-15,2013-08-24,0,100,1051,0,0,0 +731,jorge moreno,jorge,moreno,2013-02-07,Male,1957-09-15,58,Greater than 45,Hispanic,0,1,0,0,1,-11,2013-01-27 07:57:13,2013-02-06 10:02:46,13001341CF10A,2013-01-27,,11,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2013-01-27,2013-02-06,1,0,1149,0,0,0 +732,richard chacon,richard,chacon,2013-02-06,Male,1986-08-08,29,25 - 45,Hispanic,0,4,0,0,2,-26,2013-01-11 06:07:32,2013-01-12 04:14:13,13000687MM10A,2013-01-11,,26,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-06,Risk of Violence,2,Low,2013-02-06,2013-01-11,2013-01-12,2,0,1150,0,0,0 +737,samantha caicedo,samantha,caicedo,2014-04-16,Female,1991-11-01,24,Less than 25,Caucasian,0,9,0,1,6,0,2014-04-16 02:28:47,2014-04-19 11:22:18,14005342CF10A,2014-04-15,,1,F,Poss Contr Subst W/o Prescript,1,16001029MM10A,(M1),0,2016-01-30,Battery,2016-01-30,2016-01-31,,1,16001029MM10A,(M1),2016-01-30,Battery,Risk of Recidivism,9,High,2014-04-16,Risk of Violence,4,Low,2014-04-16,2016-01-30,2016-01-31,6,3,654,1,1,1 +738,justin leal,justin,leal,2013-11-06,Male,1995-01-20,21,Less than 25,Caucasian,0,9,0,4,2,-1,2013-11-05 11:10:50,2013-11-14 01:27:06,13020886MM10A,2013-11-05,,1,M,Assault,1,14000150MM20A,(M2),,2013-12-13,Mandatory Susp Possess Alcohol,,,,1,14012093CF10A,(F3),2014-07-15,Battery on Law Enforc Officer,Risk of Recidivism,9,High,2013-11-06,Risk of Violence,9,High,2013-11-06,2013-11-05,2013-11-14,2,8,37,1,1,1 +739,spencer clayborne,spencer,clayborne,2013-04-10,Male,1989-09-22,26,25 - 45,African-American,0,9,0,0,2,,,,12024513MM10A,,2013-03-25,16,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-10,Risk of Violence,6,Medium,2013-04-10,,,2,0,1087,0,0,0 +743,courtney brownlee,courtney,brownlee,2013-02-13,Male,1989-10-28,26,25 - 45,African-American,0,2,0,0,1,-1,2013-02-12 03:08:29,2013-02-13 08:21:18,13002167CF10A,2013-02-12,,1,F,Cash Item w/Intent to Defraud,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-13,Risk of Violence,3,Low,2013-02-13,2013-02-12,2013-02-13,1,0,1143,0,0,0 +745,jessica andujar,jessica,andujar,2013-09-06,Female,1985-12-28,30,25 - 45,Caucasian,0,2,0,0,0,-1,2013-09-05 10:47:19,2013-09-06 11:08:59,13016989MM10A,2013-09-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-06,Risk of Violence,2,Low,2013-09-06,2013-09-05,2013-09-06,0,0,938,0,0,0 +752,raymond ondic,raymond,ondic,2014-03-26,Male,1986-08-30,29,25 - 45,Caucasian,0,4,0,0,0,0,2014-03-26 12:14:14,2014-03-27 12:18:56,14005233MM10A,2014-03-25,,1,M,Battery,1,14008675MM10A,(M1),0,2014-05-31,Battery,2014-05-31,2014-06-09,,1,14008675MM10A,(M1),2014-05-31,Battery,Risk of Recidivism,4,Low,2014-03-26,Risk of Violence,4,Low,2014-03-26,2014-05-31,2014-06-09,0,1,66,1,1,1 +753,gregory wilson,gregory,wilson,2013-02-18,Male,1961-08-25,54,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-17 03:23:30,2013-02-18 06:40:01,13003415MM10A,2013-02-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-18,Risk of Violence,1,Low,2013-02-18,2013-02-17,2013-02-18,0,0,1138,0,0,0 +754,tawfiq hamin,tawfiq,hamin,2013-11-13,Male,1987-01-16,29,25 - 45,African-American,0,4,0,0,4,-1,2013-11-12 01:08:14,2013-11-20 06:26:56,13015733CF10A,2013-11-12,,1,F,False Ownership Info/Pawn Item,1,14006688CF10A,(F3),,2014-01-02,Burglary Unoccupied Dwelling,,,,1,14006870MM10A,(M1),2014-04-24,Battery,Risk of Recidivism,4,Low,2013-11-13,Risk of Violence,4,Low,2013-11-13,2013-11-12,2013-11-20,4,7,50,1,1,1 +756,deborah zachary,deborah,zachary,2013-10-11,Female,1956-08-18,59,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-10-09 09:01:32,2013-10-10 07:57:22,13019214MM10A,2013-10-09,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-11,Risk of Violence,1,Low,2013-10-11,2013-10-09,2013-10-10,0,0,903,0,0,0 +757,walter anderson,walter,anderson,2013-03-27,Male,1977-11-15,38,25 - 45,African-American,0,5,0,0,0,0,2013-03-27 01:50:02,2013-03-28 08:18:15,13004425CF10A,2013-03-26,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-27,Risk of Violence,1,Low,2013-03-27,2013-03-27,2013-03-28,0,1,1101,0,0,0 +760,mark tindall,mark,tindall,2014-09-25,Male,1987-02-11,29,25 - 45,African-American,0,7,0,0,4,-53,2014-08-03 09:45:47,2014-08-29 07:47:26,14010583CF10A,,2014-08-03,53,F,arrest case no charge,1,15001709CF10A,(M1),0,2015-02-05,Resist/Obstruct W/O Violence,2015-02-05,2015-04-23,,1,15001709CF10A,(F3),2015-02-05,Battery on Law Enforc Officer,Risk of Recidivism,7,Medium,2014-09-25,Risk of Violence,6,Medium,2014-09-25,2015-02-05,2015-04-23,4,0,133,1,1,1 +764,luis sanchez,luis,sanchez,2013-04-21,Male,1963-10-26,52,Greater than 45,Hispanic,0,3,0,0,20,-1,2013-04-20 10:15:03,2013-05-18 07:59:38,13005646CF10A,2013-04-20,,1,F,False Bomb Report,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-21,Risk of Violence,1,Low,2013-04-21,2013-08-03,2013-08-06,20,27,104,0,0,0 +769,zachary libman,zachary,libman,2013-03-09,Male,1989-02-17,27,25 - 45,Caucasian,0,5,0,0,2,0,2013-03-09 02:19:02,2013-03-09 09:06:46,13003509CF10A,2013-03-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-09,Risk of Violence,4,Low,2013-03-09,2013-03-09,2013-03-09,2,0,1119,0,0,0 +770,freddy cardona,freddy,cardona,2013-04-22,Male,1965-02-15,51,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-04-21 02:10:18,2013-04-22 03:59:29,13007691MM10A,2013-04-21,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2014-09-12,2014-09-12,1,0,508,0,0,0 +771,robert newton,robert,newton,2013-10-03,Male,1981-01-02,35,25 - 45,Caucasian,0,2,0,0,1,0,2013-10-03 07:44:08,2013-12-16 08:06:46,13013878CF10A,,2013-10-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-03,Risk of Violence,3,Low,2013-10-03,2013-10-03,2013-12-16,1,74,911,0,0,0 +774,james adams,james,adams,2013-08-12,Male,1989-10-12,26,25 - 45,African-American,0,7,0,0,1,,,,09011772CF10A,2009-06-24,,1510,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-12,Risk of Violence,4,Low,2013-08-12,,,1,0,963,0,0,0 +775,glen myers,glen,myers,2014-02-03,Male,1963-10-09,52,Greater than 45,Caucasian,0,3,0,0,4,-1,2014-02-02 02:24:43,2014-02-03 01:24:23,14001817MM10A,2014-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-03,Risk of Violence,2,Low,2014-02-03,2014-02-02,2014-02-03,4,0,788,0,0,0 +779,monica dunlap,monica,dunlap,2013-05-16,Female,1980-08-27,35,25 - 45,African-American,0,2,0,0,12,-54,2013-03-23 12:31:12,2013-03-23 02:23:21,13012402TC10A,2013-03-22,,55,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-16,Risk of Violence,1,Low,2013-05-16,2013-07-16,2013-07-16,12,0,61,0,0,0 +781,norman joseph,norman,joseph,2013-03-16,Male,1967-06-13,48,Greater than 45,Other,0,5,0,0,12,0,2013-03-16 03:19:01,2013-03-17 08:00:36,13003858CF10A,2013-03-16,,0,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-16,Risk of Violence,4,Low,2013-03-16,2013-03-16,2013-03-17,12,1,1112,0,0,0 +785,chaquiay anglin,chaquiay,anglin,2013-10-27,Female,1989-09-18,26,25 - 45,African-American,0,2,0,0,0,-1,2013-10-26 02:28:18,2013-10-27 08:36:51,13020322MM10A,2013-10-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-27,Risk of Violence,2,Low,2013-10-27,2013-10-26,2013-10-27,0,0,887,0,0,0 +786,barbara phetakoune,barbara,phetakoune,2014-01-14,Female,1967-10-29,48,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-14 04:43:41,2014-01-15 03:21:55,14001976MU10A,2014-01-14,,0,M,Leave Accd/Attend Veh/Less $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-14,2014-01-15,0,1,808,0,0,0 +787,rayman ruiz,rayman,ruiz,2013-08-27,Male,1985-05-03,30,25 - 45,Hispanic,0,4,0,0,7,-1,2013-08-26 11:08:06,2013-10-03 05:13:08,13016300MM10A,2013-08-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,5,Medium,2013-08-27,2013-08-26,2013-10-03,7,37,948,0,0,0 +788,kareem williams,kareem,williams,2013-11-03,Male,1987-08-02,28,25 - 45,Other,0,1,0,0,2,-1,2013-11-02 05:18:38,2013-11-04 04:03:11,13020690MM10A,2013-11-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,2,Low,2013-11-03,2013-11-02,2013-11-04,2,1,880,0,0,0 +789,oswald mcbride,oswald,mcbride,2013-10-08,Male,1983-02-28,33,25 - 45,African-American,0,3,0,0,2,0,2013-10-08 02:14:25,2013-10-08 11:59:33,13019062MM10A,2013-10-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-08,Risk of Violence,3,Low,2013-10-08,2013-12-23,2013-12-24,2,0,76,0,0,0 +790,salvatoris williams,salvatoris,williams,2013-04-23,Female,1981-07-19,34,25 - 45,African-American,0,4,0,0,6,-1,2013-04-22 08:12:13,2013-06-13 09:46:00,13005780CF10A,2013-04-22,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-23,Risk of Violence,2,Low,2013-04-23,2015-07-05,2015-07-06,6,51,803,0,0,0 +792,sastri abhilash,sastri,abhilash,2013-12-20,Male,1991-01-05,25,25 - 45,Other,0,1,0,0,0,0,2013-12-20 03:36:29,2013-12-20 02:06:03,13023510MM10A,2013-12-20,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-20,Risk of Violence,2,Low,2013-12-20,2013-12-20,2013-12-20,0,0,833,0,0,0 +796,juan delgado-roger,juan,delgado-roger,2013-04-10,Male,1991-04-30,24,Less than 25,Caucasian,0,2,0,0,0,0,2013-04-10 01:50:54,2013-04-11 07:15:22,13005116CF10A,2013-04-10,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,3,Low,2013-04-10,2015-01-08,2015-01-14,0,1,638,0,0,0 +800,leroy ware,leroy,ware,2013-02-08,Male,1960-06-07,55,Greater than 45,African-American,0,8,0,0,0,61,2013-04-10 01:10:20,2013-05-25 07:54:19,13002796MM10A,2013-02-07,,1,M,Battery,1,13005155CF10A,(F3),0,2013-04-10,Battery on a Person Over 65,2013-04-10,2013-05-25,,1,13005155CF10A,(F3),2013-04-10,Battery on a Person Over 65,Risk of Recidivism,8,High,2013-02-08,Risk of Violence,4,Low,2013-02-08,2013-04-10,2013-05-25,0,0,61,1,1,1 +803,kelvin jones,kelvin,jones,2014-01-21,Male,1964-04-07,52,Greater than 45,African-American,0,5,0,0,4,0,2014-01-21 01:50:50,2014-01-22 02:48:22,14002400MU10A,2014-01-21,,0,M,Fail Register Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-21,Risk of Violence,3,Low,2014-01-21,2014-01-21,2014-01-22,4,1,801,0,0,0 +806,mckenzie reijonen,mckenzie,reijonen,2013-01-02,Male,1991-07-18,24,Less than 25,Caucasian,0,2,0,0,0,-1,2013-01-01 05:32:16,2013-01-16 06:22:12,13000034CF10A,2013-01-01,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-02,Risk of Violence,3,Low,2013-01-02,2013-01-01,2013-01-16,0,14,1185,0,0,0 +807,mauro perez,mauro,perez,2013-01-20,Male,1993-03-15,23,Less than 25,Caucasian,0,9,0,0,0,-1,2013-01-19 07:06:05,2013-01-20 12:29:47,13001351MM10A,2013-01-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-20,Risk of Violence,6,Medium,2013-01-20,2016-01-28,2020-01-01,0,0,1103,0,0,0 +808,andrew thomas,andrew,thomas,2013-10-19,Male,1988-05-02,27,25 - 45,Caucasian,0,4,1,3,6,-1,2013-10-18 01:19:43,2013-10-19 08:00:03,13014603CF10A,2013-10-18,,1,F,Felony Battery (Dom Strang),1,16002005CF10A,(F3),,2016-01-08,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-19,Risk of Violence,3,Low,2013-10-19,2016-01-10,2016-01-11,6,0,811,1,0,0 +812,antwon hyman,antwon,hyman,2013-08-17,Male,1984-09-04,31,25 - 45,African-American,0,2,0,0,0,-1,2013-08-16 06:01:59,2013-08-16 06:08:13,13011507CF10A,2013-08-16,,1,F,Trespassing/Construction Site,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-17,Risk of Violence,1,Low,2013-08-17,2013-08-16,2013-08-16,0,0,958,0,0,0 +814,benjamin levine,benjamin,levine,2014-01-21,Male,1983-06-11,32,25 - 45,Caucasian,0,1,0,0,1,-7,2014-01-14 10:07:59,2014-01-15 01:58:04,14000604CF10A,,2014-01-14,7,F,arrest case no charge,1,15008433MM10A,(M1),0,2015-08-09,Battery,2015-08-09,2015-08-10,,1,15008433MM10A,(M1),2015-08-09,Battery,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,2,Low,2014-01-21,2015-08-09,2015-08-10,1,0,565,1,1,1 +817,arrantes green,arrantes,green,2013-02-21,Male,1978-05-16,37,25 - 45,Other,0,1,0,0,1,-1,2013-02-20 08:05:01,2013-02-25 09:11:42,13002589CF10A,2013-02-20,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-20,2013-02-25,1,4,1135,0,0,0 +818,frantz mersier,frantz,mersier,2013-12-08,Male,1990-06-01,25,25 - 45,Caucasian,0,3,0,0,0,0,2013-12-08 01:39:45,2013-12-08 01:45:29,13016946CF10A,2013-12-07,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-08,Risk of Violence,4,Low,2013-12-08,2014-02-12,2014-02-27,0,0,66,0,0,0 +820,terrance holland,terrance,holland,2013-01-01,Male,1984-01-11,32,25 - 45,Hispanic,1,10,1,0,20,0,2013-01-01 05:08:53,2013-01-02 03:08:56,12017968CF10A,,2013-01-01,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-01,Risk of Violence,7,Medium,2013-01-01,2013-01-01,2013-01-02,20,1,1186,0,0,0 +821,dorcas willis,dorcas,willis,2013-04-25,Male,1980-08-31,35,25 - 45,African-American,0,7,0,0,0,-1,2013-04-24 07:43:40,2013-04-26 08:46:06,13005883CF10A,2013-04-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,2,Low,2013-04-25,2013-04-24,2013-04-26,0,1,1072,0,0,0 +825,alexander marino,alexander,marino,2013-09-09,Male,1991-07-20,24,Less than 25,Caucasian,0,10,0,1,9,-23,2013-08-17 01:46:04,2013-08-27 03:55:32,13015605MM10A,2013-08-17,,23,M,Viol Injunct Domestic Violence,1,13014469CF10A,(F3),0,2013-10-16,Possession Burglary Tools,2013-10-16,2014-10-06,,1,16002201CF10A,(F2),2016-02-19,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2013-09-09,Risk of Violence,8,High,2013-09-09,2013-10-16,2014-10-06,9,0,37,1,1,1 +831,malcolm austin,malcolm,austin,2013-03-20,Male,1968-10-11,47,Greater than 45,Caucasian,0,1,0,0,1,0,2013-03-20 02:25:51,2013-03-20 07:51:16,13005458MM10A,2013-03-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-20,2013-03-20,1,0,1108,0,0,0 +838,derrick goodley,derrick,goodley,2013-01-29,Male,1971-11-14,44,25 - 45,African-American,0,3,0,0,1,0,2013-01-29 06:36:33,2013-01-29 08:34:07,13002096MM10A,2013-01-29,,0,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-29,2013-01-29,1,0,1158,0,0,0 +840,rafael rivera,rafael,rivera,2013-04-17,Male,1988-07-05,27,25 - 45,African-American,0,5,0,0,0,,,,13005535CF10A,2013-04-16,,1,F,Consp Traff Oxycodone 28g><30k,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-17,Risk of Violence,5,Medium,2013-04-17,,,0,0,1080,0,0,0 +841,cesar pedraza,cesar,pedraza,2013-12-13,Male,1993-03-25,23,Less than 25,Caucasian,0,2,0,0,2,-1,2013-12-12 11:10:00,2013-12-13 08:47:02,13017191CF10A,2013-12-12,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-13,Risk of Violence,3,Low,2013-12-13,2013-12-12,2013-12-13,2,0,840,0,0,0 +842,ana cuba,ana,cuba,2013-02-13,Female,1965-12-30,50,Greater than 45,Hispanic,0,1,0,0,1,,,,12002463CF10A,2009-07-04,,1320,F,Unemployment Compensatn Fraud,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,,,1,0,1143,0,0,0 +843,richard harding,richard,harding,2013-10-03,Male,1973-09-28,42,25 - 45,African-American,0,5,0,0,8,-1,2013-10-02 10:41:22,2013-10-04 05:24:16,13007224CF10A,,2013-10-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-03,Risk of Violence,2,Low,2013-10-03,2013-10-02,2013-10-04,8,1,911,0,0,0 +844,benjamin feast,benjamin,feast,2013-05-22,Male,1957-10-13,58,Greater than 45,African-American,0,6,0,0,6,-1,2013-05-21 03:25:30,2013-10-12 05:17:10,13007238CF10A,2013-05-21,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-22,Risk of Violence,3,Low,2013-05-22,2014-10-15,2014-12-12,6,143,511,0,0,0 +847,steven nettleford,steven,nettleford,2013-01-25,Male,1990-02-13,26,25 - 45,African-American,0,6,0,1,3,-1,2013-01-24 09:05:00,2013-01-26 04:55:47,13001179CF10A,2013-01-24,,1,F,Grand Theft (Motor Vehicle),1,15008815CF10A,(F3),0,2015-07-09,Poss Pyrrolidinovalerophenone,2015-07-09,2015-10-18,,0,,,,,Risk of Recidivism,6,Medium,2013-01-25,Risk of Violence,4,Low,2013-01-25,2015-07-09,2015-10-18,3,1,895,1,0,0 +848,eva downs,eva,downs,2013-02-04,Female,1968-02-07,48,Greater than 45,Other,0,1,0,0,0,-1,2013-02-03 10:36:16,2013-02-20 12:12:55,13001821CF10A,2013-02-03,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-03,2013-02-20,0,16,1152,0,0,0 +850,deandre miller,deandre,miller,2013-05-15,Male,1995-03-26,21,Less than 25,African-American,0,5,2,0,3,0,2013-05-15 12:34:33,2013-05-15 07:01:43,13006891CF10A,,2013-05-14,1,F,arrest case no charge,1,14010145CF10A,(F3),0,2014-07-25,Grand Theft in the 3rd Degree,2014-07-25,2014-09-04,,1,15008351CF10A,(F2),2015-06-29,Robbery / No Weapon,Risk of Recidivism,5,Medium,2013-05-15,Risk of Violence,6,Medium,2013-05-15,2014-07-25,2014-09-04,3,0,436,1,1,1 +851,keith antolick,keith,antolick,2014-01-31,Male,1952-06-19,63,Greater than 45,Caucasian,0,1,0,0,1,-9,2014-01-22 10:01:17,2014-01-28 03:54:00,14002640MU10A,2014-01-22,,9,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2014-01-22,2014-01-28,1,0,791,0,0,0 +852,tyrone carter,tyrone,carter,2013-11-18,Male,1993-11-05,22,Less than 25,African-American,0,7,1,0,3,-11,2013-11-07 10:41:34,2013-11-15 08:48:23,12016330CF10A,,2013-11-07,11,F,arrest case no charge,1,15005819CF10A,(F3),,2015-05-04,Burglary Conveyance Unoccup,,,,1,15006218CF10A,(F3),2015-05-11,Felony Battery (Dom Strang),Risk of Recidivism,7,Medium,2013-11-18,Risk of Violence,7,Medium,2013-11-18,2013-11-07,2013-11-15,3,0,532,1,1,1 +853,david schultz,david,schultz,2013-02-03,Male,1965-09-25,50,Greater than 45,African-American,0,3,0,0,3,-1,2013-02-02 09:08:31,2013-02-03 06:57:55,13002401MM10A,2013-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-03,Risk of Violence,2,Low,2013-02-03,2013-02-02,2013-02-03,3,0,1153,0,0,0 +855,geoffrey salesman,geoffrey,salesman,2013-05-27,Male,1977-07-18,38,25 - 45,African-American,0,1,0,0,0,-1,2013-05-26 10:41:56,2013-06-05 09:47:42,13007530CF10A,2013-05-26,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-26,2013-06-05,0,9,1040,0,0,0 +856,osvaldo pereyra,osvaldo,pereyra,2013-10-22,Male,1974-06-23,41,25 - 45,Caucasian,0,6,0,0,1,-6,2013-10-16 03:27:50,2013-10-22 10:32:34,13014495CF10A,2013-10-15,,7,F,Sexual Battery / Vict 12 Yrs +,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-22,Risk of Violence,4,Low,2013-10-22,2013-11-27,2013-12-02,1,0,36,0,0,0 +857,travis holmes,travis,holmes,2014-02-25,Male,1987-12-07,28,25 - 45,African-American,8,8,0,1,16,-1,2014-02-24 04:17:37,2014-02-25 08:09:24,14002607CF10A,2014-02-24,,1,F,Aggravated Battery / Pregnant,1,15005982CF10A,(M1),0,2015-05-07,Possess Cannabis/20 Grams Or Less,2015-05-07,2015-06-01,,1,15008803CF10A,(F2),2015-06-30,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2014-02-25,Risk of Violence,9,High,2014-02-25,2015-05-07,2015-06-01,16,0,436,1,1,1 +858,shakennea baker,shakennea,baker,2013-11-06,Female,1985-12-07,30,25 - 45,African-American,0,3,0,0,0,0,2013-11-06 03:13:16,2013-11-07 09:03:30,13020963MM10A,2013-11-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-06,Risk of Violence,3,Low,2013-11-06,2013-11-06,2013-11-07,0,1,877,0,0,0 +859,rionne holloman,rionne,holloman,2013-04-24,Male,1993-01-28,23,Less than 25,African-American,0,5,0,0,1,0,2013-04-24 02:27:23,2013-04-24 08:08:08,13005889CF10A,2013-04-23,,1,F,Agg Fleeing and Eluding,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-24,Risk of Violence,7,Medium,2013-04-24,2014-02-20,2014-03-28,1,0,302,0,0,0 +863,christopher metcalf,christopher,metcalf,2013-09-15,Male,1976-03-12,40,25 - 45,Caucasian,0,4,0,0,5,0,2013-09-15 03:23:56,2013-09-15 07:27:18,13013025CF10A,2013-09-14,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-15,Risk of Violence,1,Low,2013-09-15,2015-10-07,2015-10-16,5,0,752,0,0,0 +864,frank carvalho,frank,carvalho,2013-04-25,Male,1991-05-25,24,Less than 25,Hispanic,0,8,0,0,8,0,2013-04-25 02:04:02,2013-04-25 01:19:35,13005907CF10A,2013-04-25,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-25,Risk of Violence,4,Low,2013-04-25,2013-04-25,2013-04-25,8,0,1072,0,0,0 +869,mark rawiszer,mark,rawiszer,2013-09-07,Male,1971-09-03,44,25 - 45,Caucasian,0,3,0,0,11,0,2013-09-07 03:37:40,2014-03-06 10:26:26,13017051MM10A,2013-09-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-07,Risk of Violence,6,Medium,2013-09-07,2013-09-07,2014-03-06,11,180,937,0,0,0 +870,tanares russ,tanares,russ,2013-10-30,Female,1980-11-13,35,25 - 45,African-American,0,2,0,0,6,-1,2013-10-29 02:27:04,2013-10-30 08:32:44,13015117CF10A,,2013-10-29,1,F,arrest case no charge,1,15005910MM10A,(M1),1,2015-05-29,Battery,2015-05-30,2015-07-17,,1,15005910MM10A,(M1),2015-05-29,Battery,Risk of Recidivism,2,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2015-05-30,2015-07-17,6,0,576,1,1,1 +871,attique mohammad,attique,mohammad,2013-02-06,Male,1973-12-25,42,25 - 45,Caucasian,0,1,0,0,0,0,2013-02-06 02:27:50,2013-02-06 07:49:59,13002721MM10A,2013-02-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-06,Risk of Violence,1,Low,2013-02-06,2013-02-06,2013-02-06,0,0,1150,0,0,0 +872,anthony deary,anthony,deary,2014-01-24,Male,1978-03-17,38,25 - 45,African-American,0,7,0,0,15,0,2014-01-24 04:04:57,2014-01-24 09:37:14,14001075CF10A,2014-01-23,,1,F,Drivg While Lic Suspd/Revk/Can,1,16014195TC30A,(M2),,2016-03-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-24,Risk of Violence,5,Medium,2014-01-24,2014-01-24,2014-01-24,15,0,770,1,0,0 +874,jorge fernandez,jorge,fernandez,2013-03-06,Male,1990-01-23,26,25 - 45,Hispanic,0,6,0,0,4,0,2013-03-06 12:02:54,2013-03-06 09:47:10,13003284CF10A,2013-03-05,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-06,Risk of Violence,6,Medium,2013-03-06,2013-03-06,2013-03-06,4,0,1122,0,0,0 +875,brittany funchess,brittany,funchess,2013-05-28,Female,1990-05-30,25,25 - 45,African-American,0,3,0,0,0,-1,2013-05-27 09:36:52,2013-05-28 09:04:37,13010161MM10A,2013-05-27,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-28,Risk of Violence,3,Low,2013-05-28,2013-05-27,2013-05-28,0,0,1039,0,0,0 +879,alfonso starling,alfonso,starling,2013-05-17,Male,1992-01-19,24,Less than 25,Caucasian,0,4,0,0,1,,,,12011759CF10A,,2012-08-10,280,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-17,Risk of Violence,6,Medium,2013-05-17,,,1,0,1050,0,0,0 +880,victor lozada,victor,lozada,2013-08-13,Male,1951-05-12,64,Greater than 45,Hispanic,0,1,0,0,1,-8,2013-08-05 12:41:27,2013-08-13 02:27:19,13010831CF10A,2013-08-04,,9,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2013-08-05,2013-08-13,1,0,962,0,0,0 +886,adriana valencia,adriana,valencia,2013-08-21,Female,1969-08-29,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-20 09:12:14,2013-08-21 09:19:20,13015855MM10A,2013-08-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-21,Risk of Violence,1,Low,2013-08-21,2013-08-20,2013-08-21,0,0,954,0,0,0 +887,courtney louis,courtney,louis,2013-03-04,Male,1985-05-11,30,25 - 45,African-American,0,6,0,1,5,-1,2013-03-03 06:23:59,2013-03-04 08:33:50,13003196CF10A,2013-03-03,,1,F,Driving While License Revoked,1,13011913CF10A,(F3),0,2013-08-23,Unauth C/P/S Sounds>1000/Audio,2013-08-23,2013-08-24,,1,14009967MM10A,(M1),2014-06-26,Battery,Risk of Recidivism,6,Medium,2013-03-04,Risk of Violence,6,Medium,2013-03-04,2013-08-23,2013-08-24,5,0,172,1,1,1 +888,pamela delgado,pamela,delgado,2014-01-22,Female,1993-11-01,22,Less than 25,Caucasian,0,3,0,0,0,0,2014-01-22 12:55:30,2014-01-22 09:20:36,14001125MM10A,2014-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-22,Risk of Violence,4,Low,2014-01-22,2014-01-22,2014-01-22,0,0,800,0,0,0 +889,clevor kiffin,clevor,kiffin,2013-03-24,Male,1993-04-06,23,Less than 25,Caucasian,0,4,0,0,1,-1,2013-03-23 10:06:43,2013-04-02 09:22:16,13013358TC10A,,2013-03-23,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-24,Risk of Violence,6,Medium,2013-03-24,2016-02-06,2016-02-07,1,9,1049,0,0,0 +893,donnie aguilar,donnie,aguilar,2013-02-25,Male,1985-01-19,31,25 - 45,Hispanic,0,1,0,0,0,-1,2013-02-24 12:26:26,2013-02-25 01:51:33,13003813MM10A,2013-02-23,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,2013-02-24,2013-02-25,0,0,1131,0,0,0 +895,patrick cezaire,patrick,cezaire,2013-05-01,Male,1985-03-15,31,25 - 45,Other,0,2,0,0,1,-1,2013-04-30 07:18:35,2013-05-01 03:47:37,13006119CF10A,,2013-04-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2014-12-30,2014-12-31,1,0,608,0,0,0 +898,antvonte sanders,antvonte,sanders,2013-03-07,Male,1988-02-25,28,25 - 45,African-American,0,8,0,0,4,747,2015-03-24 07:19:51,2015-05-15 10:51:34,12002361CF10A,,2012-03-06,366,F,arrest case no charge,1,15003939CF10A,(F3),0,2015-03-24,Tampering With Physical Evidence,2015-03-24,2015-05-15,,0,,,,,Risk of Recidivism,8,High,2013-03-07,Risk of Violence,7,Medium,2013-03-07,2015-03-24,2015-05-15,4,0,747,1,0,0 +899,stephen parra,stephen,parra,2013-03-17,Male,1991-04-08,25,25 - 45,African-American,0,3,0,0,0,-1,2013-03-16 09:16:46,2013-03-17 02:17:18,13005181MM10A,2013-03-16,,1,M,Disorderly Conduct,1,15011037CF10A,(F3),0,2015-08-26,False Imprisonment,2015-08-26,2015-08-29,,1,15011037CF10A,(M1),2015-08-26,Battery,Risk of Recidivism,3,Low,2013-03-17,Risk of Violence,4,Low,2013-03-17,2015-08-26,2015-08-29,0,0,892,1,0,0 +900,aaliyah lovo,aaliyah,lovo,2013-11-04,Female,1994-11-10,21,Less than 25,Caucasian,0,7,0,0,0,-1,2013-11-03 01:54:43,2013-11-05 05:54:27,13015312CF10A,2013-11-03,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-04,Risk of Violence,5,Medium,2013-11-04,2013-11-03,2013-11-05,0,1,879,0,0,0 +901,odean lawrence,odean,lawrence,2013-01-13,Male,1988-07-18,27,25 - 45,African-American,0,2,0,0,0,-1,2013-01-12 04:24:36,2013-01-13 12:41:13,13000749MM10A,2013-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-13,Risk of Violence,3,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0,0 +905,luis mora,luis,mora,2013-07-23,Male,1983-05-16,32,25 - 45,Hispanic,0,1,0,0,1,-27,2013-06-26 07:47:32,2013-06-26 08:09:02,13008994CF10A,2013-06-26,,27,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-23,Risk of Violence,1,Low,2013-07-23,2013-06-26,2013-06-26,1,0,983,0,0,0 +906,megan mcnulty,megan,mcnulty,2013-09-22,Female,1991-07-28,24,Less than 25,Caucasian,0,5,0,1,0,0,2013-09-22 05:21:34,2013-09-23 02:00:15,13013345CF10A,2013-09-22,,0,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-22,Risk of Violence,5,Medium,2013-09-22,2013-09-22,2013-09-23,0,1,922,0,0,0 +909,mellick jackson,mellick,jackson,2014-01-29,Male,1996-04-11,20,Less than 25,African-American,1,3,0,0,1,-1,2014-01-28 12:49:23,2014-01-29 10:42:36,14000687CF10A,,2014-01-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-29,Risk of Violence,6,Medium,2014-01-29,2014-01-28,2014-01-29,1,0,793,0,0,0 +914,dwayne donaldson,dwayne,donaldson,2014-12-02,Male,1988-08-02,27,25 - 45,African-American,0,7,0,0,3,-1,2014-12-01 03:21:53,2014-12-07 04:35:04,14016999MM10A,2014-12-01,,1,M,Battery,1,15007366CF10A,(F3),0,2015-06-06,Aggravated Assault w/Firearm,2015-06-06,2015-06-07,,1,15007366CF10A,(F3),2015-06-06,Aggravated Assault w/Firearm,Risk of Recidivism,7,Medium,2014-12-02,Risk of Violence,8,High,2014-12-02,2015-06-06,2015-06-07,3,5,186,1,1,1 +916,johhnie scott,johhnie,scott,2013-01-18,Male,1975-06-13,40,25 - 45,African-American,0,2,0,0,0,-1,2013-01-17 05:59:00,2013-01-18 08:48:30,13000829CF10A,2013-01-17,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-17,2013-01-18,0,0,1169,0,0,0 +917,marcus gibbons,marcus,gibbons,2014-12-10,Male,1993-08-17,22,Less than 25,African-American,0,10,0,0,11,0,2014-12-10 01:21:36,2014-12-10 01:26:52,14016372CF10A,2014-12-09,,1,F,Possession of Cocaine,1,15001136CF10A,(F3),0,2015-01-25,Poss Pyrrolidinovalerophenone,2015-01-25,2015-02-28,,1,16001348MM10A,(M1),2016-02-10,Battery,Risk of Recidivism,10,High,2014-12-10,Risk of Violence,8,High,2014-12-10,2015-01-09,2015-01-10,11,0,30,0,1,1 +918,vernee mckenzie,vernee,mckenzie,2013-04-16,Female,1977-09-25,38,25 - 45,African-American,0,1,0,0,1,-1,2013-04-15 11:18:52,2013-04-16 09:12:28,13005448CF10A,2013-04-15,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-16,Risk of Violence,1,Low,2013-04-16,2013-04-15,2013-04-16,1,0,1081,0,0,0 +921,steve mitchell,steve,mitchell,2013-03-04,Male,1985-11-11,30,25 - 45,African-American,0,7,0,0,1,0,2013-03-04 03:53:19,2013-03-05 01:59:42,13004414MM10A,2013-03-04,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-04,Risk of Violence,4,Low,2013-03-04,2013-04-29,2013-05-09,1,1,56,0,0,0 +922,robert golden,robert,golden,2014-05-15,Male,1988-08-12,27,25 - 45,Caucasian,0,6,0,0,6,-1,2014-05-14 02:14:46,2014-06-17 10:56:58,14006740CF10A,,2014-05-14,1,F,arrest case no charge,1,16000579CF10A,(F2),,2016-01-10,Threaten Throw Destruct Device,,,,1,16000579CF10A,(F2),2016-01-10,Threaten Throw Destruct Device,Risk of Recidivism,6,Medium,2014-05-15,Risk of Violence,4,Low,2014-05-15,2015-07-13,2015-07-14,6,33,424,0,1,1 +923,edmond shield,edmond,shield,2013-11-06,Male,1972-09-04,43,25 - 45,African-American,0,1,0,0,1,,,,13020969MM10A,2013-11-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-06,Risk of Violence,1,Low,2013-11-06,,,1,0,877,0,0,0 +924,cindy lambke,cindy,lambke,2013-10-09,Female,1956-05-13,59,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-09 03:00:19,2013-10-09 08:12:28,13019210MM10A,2013-10-08,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-09,Risk of Violence,1,Low,2013-10-09,2013-10-09,2013-10-09,0,0,905,0,0,0 +925,kevin parker,kevin,parker,2013-04-18,Male,1979-01-24,37,25 - 45,Caucasian,0,1,0,0,2,-2,2013-04-16 05:14:39,2013-04-17 05:35:24,13007381MM10A,2013-04-16,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-04-16,2013-04-17,2,0,1079,0,0,0 +927,remo bosi-godomar,remo,bosi-godomar,2013-09-06,Male,1977-11-06,38,25 - 45,Caucasian,0,1,0,0,0,0,2013-09-06 01:28:27,2013-09-06 10:50:40,13012553CF10A,2013-09-06,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-06,2013-09-06,0,0,938,0,0,0 +932,trinidad ramirez-ramirez,trinidad,ramirez-ramirez,2013-09-16,Male,1972-11-06,43,25 - 45,Hispanic,0,1,0,0,1,-44,2013-08-03 01:01:38,2013-09-13 05:55:40,13014658MM10A,2013-08-03,,44,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-08-03,2013-09-13,1,0,928,0,0,0 +934,jerald peterson,jerald,peterson,2013-04-09,Male,1990-04-20,25,25 - 45,African-American,0,5,0,0,4,-1,2013-04-08 05:49:48,2013-05-10 05:42:55,13005037CF10A,2013-04-08,,1,F,Grand Theft Firearm,1,13008240CF10A,(M1),1,2013-06-11,Possess Cannabis/20 Grams Or Less,2013-06-12,2013-09-11,,1,13013057CF10A,(F1),2013-09-15,Attempt Murder in the First Degree,Risk of Recidivism,5,Medium,2013-04-09,Risk of Violence,4,Low,2013-04-09,2013-04-08,2013-05-10,4,31,63,1,1,1 +935,carmelo aquino,carmelo,aquino,2013-12-01,Male,1964-05-31,51,Greater than 45,Caucasian,0,1,0,0,0,0,2013-12-01 12:17:36,2013-12-01 12:33:39,13022352MM10A,2013-11-30,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,2013-12-01,2013-12-01,0,0,852,0,0,0 +937,johell ullda,johell,ullda,2013-12-25,Male,1986-02-28,30,25 - 45,Hispanic,0,5,0,0,6,,,,13017755CF10A,2013-12-24,,1,F,Possession of Cocaine,1,14009698CF10A,(F3),,2014-07-15,Fleeing Or Attmp Eluding A Leo,,,,1,14009698CF10A,(F2),2014-07-15,Agg Assault Law Enforc Officer,Risk of Recidivism,5,Medium,2013-12-25,Risk of Violence,3,Low,2013-12-25,2014-12-16,2020-01-01,6,0,202,1,1,1 +944,zechariah faulk,zechariah,faulk,2014-01-03,Male,1987-10-11,28,25 - 45,African-American,0,3,0,0,10,0,2014-01-03 04:56:59,2014-01-03 08:00:20,14000141CF10A,2014-01-03,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-03,Risk of Violence,2,Low,2014-01-03,2014-03-13,2014-03-21,10,0,69,0,0,0 +945,laurence thomas,laurence,thomas,2013-10-18,Male,1990-03-31,26,25 - 45,African-American,0,8,0,0,6,,,,13011582MM10A,2013-05-07,,164,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-18,Risk of Violence,8,High,2013-10-18,,,6,0,896,0,0,0 +947,lemore noah,lemore,noah,2013-02-24,Female,1992-11-02,23,Less than 25,Caucasian,0,10,0,0,3,-1,2013-02-23 12:49:04,2013-03-01 06:16:35,13002766CF10A,2013-02-23,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-24,Risk of Violence,9,High,2013-02-24,2013-04-03,2013-05-26,3,5,38,0,0,0 +948,ashliegh batiste,ashliegh,batiste,2013-01-20,Female,1993-04-28,22,Less than 25,African-American,0,5,0,0,0,-1,2013-01-19 11:57:56,2013-01-27 05:20:46,13001334MO10A,2013-01-19,,1,M,Failure To Pay Taxi Cab Charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-20,Risk of Violence,6,Medium,2013-01-20,2013-01-19,2013-01-27,0,7,1167,0,0,0 +951,kelos francois,kelos,francois,2013-10-01,Male,1985-02-18,31,25 - 45,African-American,0,1,0,0,1,-27,2013-09-04 12:57:02,2013-09-04 08:28:00,13016878MM10A,2013-09-03,,28,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-09-04,2013-09-04,1,0,913,0,0,0 +953,curtis coombs,curtis,coombs,2014-03-10,Male,1986-06-11,29,25 - 45,African-American,0,1,0,0,0,0,2014-03-10 03:51:44,2014-03-11 03:42:19,14009450MU10A,2014-03-10,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-10,Risk of Violence,1,Low,2014-03-10,2014-03-10,2014-03-11,0,1,753,0,0,0 +956,jaron thomas,jaron,thomas,2013-10-09,Male,1991-07-23,24,Less than 25,African-American,0,10,0,0,4,-175,2013-04-17 11:36:33,2013-04-18 05:06:12,13005512CF10A,2013-04-17,,175,F,Possession of Cocaine,1,15000796MM10A,(M1),0,2015-01-21,Viol Injunct Domestic Violence,2015-01-21,2015-01-24,,1,15008227CF10A,(F1),2015-06-25,Robbery / Weapon,Risk of Recidivism,10,High,2013-10-09,Risk of Violence,9,High,2013-10-09,2014-10-14,2014-10-17,4,0,370,0,1,1 +958,wilfredo alejo-dominguez,wilfredo,alejo-dominguez,2013-02-08,Male,1984-05-18,31,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-08 05:06:56,2013-02-08 08:10:52,13002891MM10A,2013-02-08,,0,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-08,Risk of Violence,2,Low,2013-02-08,2014-08-14,2014-08-19,0,0,552,0,0,0 +962,robert rose,robert,rose,2013-08-24,Male,1988-07-24,27,25 - 45,Caucasian,0,9,0,0,5,0,2013-08-24 03:53:34,2013-08-25 08:30:23,13016215MM10A,2013-08-24,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-24,Risk of Violence,7,Medium,2013-08-24,2013-08-24,2013-08-25,5,1,951,0,0,0 +963,stephanie coello,stephanie,coello,2013-12-25,Male,1990-10-28,25,25 - 45,Caucasian,0,5,0,0,1,-1,2013-12-24 08:20:02,2013-12-25 12:46:17,13017744CF10A,2013-12-24,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-25,Risk of Violence,3,Low,2013-12-25,2013-12-24,2013-12-25,1,0,828,0,0,0 +965,jackson clerisier,jackson,clerisier,2014-02-06,Male,1977-09-13,38,25 - 45,African-American,0,1,0,0,0,-1,2014-02-05 09:19:16,2014-02-07 09:14:53,14001640CF10A,2014-02-05,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-02-05,2014-02-07,0,1,785,0,0,0 +969,luc tismeus,luc,tismeus,2013-02-06,Male,1993-09-23,22,Less than 25,Other,0,9,0,0,0,-1,2013-02-05 04:14:37,2013-02-21 05:24:06,13001811CF10A,2013-02-05,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-06,Risk of Violence,7,Medium,2013-02-06,2013-02-05,2013-02-21,0,15,1150,0,0,0 +971,crystal shellman,crystal,shellman,2014-09-10,Female,1957-06-25,58,Greater than 45,African-American,0,2,0,0,4,-14,2014-08-27 09:14:45,2014-08-28 09:22:51,14011695CF10A,2014-08-27,,14,F,"Poss 3,4 MDMA (Ecstasy)",1,15000238MM30A,(M2),,2015-01-18,Petit Theft,,,,1,15012748CF10A,(M1),2015-10-02,Battery,Risk of Recidivism,2,Low,2014-09-10,Risk of Violence,1,Low,2014-09-10,2016-02-19,2016-02-21,4,0,130,1,1,1 +975,jonathan saintil,jonathan,saintil,2014-02-27,Male,1995-02-05,21,Less than 25,African-American,0,3,0,1,0,-1,2014-02-26 09:16:23,2014-02-27 02:05:20,14002730CF10A,2014-02-26,,1,F,Use Scanning Device to Defraud,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-27,Risk of Violence,5,Medium,2014-02-27,2014-02-26,2014-02-27,0,0,764,0,0,0 +977,katavia latson,katavia,latson,2013-12-05,Female,1994-03-03,22,Less than 25,African-American,0,8,0,0,0,-1,2013-12-04 07:09:34,2013-12-05 09:19:46,13016777CF10A,2013-12-04,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-05,Risk of Violence,6,Medium,2013-12-05,2013-12-04,2013-12-05,0,0,848,0,0,0 +978,christopher haye,christopher,haye,2013-01-15,Male,1986-02-16,30,25 - 45,African-American,0,2,0,0,0,-1,2013-01-14 07:16:50,2013-01-17 03:17:43,13000619CF10A,2013-01-14,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-15,Risk of Violence,2,Low,2013-01-15,2013-01-14,2013-01-17,0,2,1172,0,0,0 +983,glenn rowe,glenn,rowe,2013-12-10,Male,1993-10-19,22,Less than 25,Caucasian,0,4,0,0,2,-40,2013-10-31 02:13:50,2013-11-27 08:48:45,13015187CF10A,2013-10-30,,41,F,Battery on Law Enforc Officer,1,14002283CF10A,(M1),0,2014-02-18,Battery,2014-02-18,2014-05-09,,1,14002283CF10A,(M1),2014-02-18,Battery,Risk of Recidivism,4,Low,2013-12-10,Risk of Violence,6,Medium,2013-12-10,2014-02-18,2014-05-09,2,0,70,1,1,1 +988,sondra murrell,sondra,murrell,2013-04-14,Female,1984-09-01,31,25 - 45,African-American,0,6,0,0,10,-1,2013-04-13 09:58:44,2013-04-14 07:39:41,13005347CF10A,2013-04-13,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-14,Risk of Violence,2,Low,2013-04-14,2013-04-13,2013-04-14,10,0,1083,0,0,0 +990,brad griffith,brad,griffith,2014-01-09,Female,1970-05-11,45,Greater than 45,Caucasian,0,6,0,0,1,0,2014-01-09 02:26:24,2014-01-10 09:06:22,14000374CF10A,2014-01-09,,0,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-09,Risk of Violence,4,Low,2014-01-09,2014-01-09,2014-01-10,1,1,813,0,0,0 +991,joseph belgrave,joseph,belgrave,2013-03-07,Male,1992-08-07,23,Less than 25,African-American,0,7,0,0,4,320,2014-01-21 12:54:18,2014-04-21 09:05:53,12005378CF10A,,2012-04-11,330,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-07,Risk of Violence,9,High,2013-03-07,2014-01-21,2014-04-21,4,0,320,0,0,0 +998,steve louiseron,steve,louiseron,2013-09-05,Male,1988-07-19,27,25 - 45,African-American,0,7,0,0,13,-1,2013-09-04 07:58:16,2013-09-06 09:43:19,13012126CF10A,,2013-09-04,1,F,arrest case no charge,1,13014078CF10A,(F3),0,2013-10-07,Tamper With Victim,2013-10-07,2014-03-29,,1,13014078CF10A,(M1),2013-10-07,Battery,Risk of Recidivism,7,Medium,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-10-07,2014-03-29,13,1,32,1,1,1 +999,jonathan nevarez,jonathan,nevarez,2014-07-10,Male,1977-07-26,38,25 - 45,Caucasian,0,1,0,0,1,-1,2014-07-09 06:45:49,2014-07-10 01:39:26,14009397CF10A,2014-07-09,,1,F,Crimin Mischief Damage $1000+,1,15004068MM10A,(M1),0,2015-04-08,Battery,2015-04-08,2015-04-10,,1,15004068MM10A,(M1),2015-04-08,Battery,Risk of Recidivism,1,Low,2014-07-10,Risk of Violence,1,Low,2014-07-10,2015-04-08,2015-04-10,1,0,272,1,1,1 +1001,walter samuels,walter,samuels,2014-02-03,Male,1968-09-29,47,Greater than 45,African-American,0,9,0,0,20,-1,2014-02-02 11:48:26,2014-02-04 03:57:20,14001468CF10A,2014-02-02,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-03,Risk of Violence,5,Medium,2014-02-03,2014-02-02,2014-02-04,20,1,788,0,0,0 +1002,latif blagman,latif,blagman,2013-10-01,Male,1994-04-06,22,Less than 25,African-American,0,7,1,0,3,-1,2013-09-30 09:47:34,2013-10-01 02:07:40,13013094CF10A,,2013-09-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-01,Risk of Violence,7,Medium,2013-10-01,2013-09-30,2013-10-01,3,0,913,0,0,0 +1003,kendrick raymond,kendrick,raymond,2014-09-04,Male,1980-09-03,35,25 - 45,African-American,0,9,0,1,1,-1,2014-09-03 11:08:09,2014-11-22 04:31:47,11015078MM10A,2011-07-03,,1159,M,Battery,1,15011271CF10A,(F3),,2015-08-27,Felony Battery (Dom Strang),,,,1,15011271CF10A,(F3),2015-08-27,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2014-09-04,Risk of Violence,3,Low,2014-09-04,2015-08-13,2015-10-27,1,79,357,1,1,1 +1005,john brown,john,brown,2014-04-11,Male,1950-09-02,65,Greater than 45,African-American,0,2,0,0,2,-18,2014-03-24 02:29:51,2014-03-29 06:17:09,14016429MM10A,2014-03-24,,18,M,Violation of Injunction Order/Stalking/Cyberstalking,1,15011493CF10A,(F2),1,2015-09-04,Aggrav Battery w/Deadly Weapon,2015-09-05,2015-09-06,,1,15011493CF10A,(F2),2015-09-04,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2014-04-11,Risk of Violence,1,Low,2014-04-11,2015-09-16,2015-10-26,2,0,511,1,1,1 +1006,jarrett hankerson,jarrett,hankerson,2014-01-19,Male,1980-08-24,35,25 - 45,African-American,0,4,0,0,0,-1,2014-01-18 05:06:51,2014-01-19 09:04:34,14002370MU10A,2014-01-18,,1,M,Fail To Obey Police Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-19,Risk of Violence,3,Low,2014-01-19,2014-01-18,2014-01-19,0,0,803,0,0,0 +1007,jeniqua johnson,jeniqua,johnson,2013-08-05,Female,1982-10-13,33,25 - 45,African-American,0,3,0,0,0,-1,2013-08-04 07:19:39,2013-08-05 09:38:46,13010833CF10A,2013-08-04,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-05,Risk of Violence,2,Low,2013-08-05,2015-02-07,2015-07-17,0,0,551,0,0,0 +1008,gregory thornton,gregory,thornton,2013-06-17,Male,1962-12-16,53,Greater than 45,Caucasian,0,1,0,0,1,-10,2013-06-07 03:20:17,2013-06-08 05:43:33,13010982MM10A,2013-06-07,,10,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-17,Risk of Violence,1,Low,2013-06-17,2013-06-07,2013-06-08,1,0,1019,0,0,0 +1009,rigoberto vasquezlimas,rigoberto,vasquezlimas,2013-11-05,Male,1964-01-19,52,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-11-04 11:09:47,2013-11-06 01:57:40,13015376CF10A,2013-11-04,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-05,Risk of Violence,1,Low,2013-11-05,2013-11-04,2013-11-06,0,1,878,0,0,0 +1014,nijah mcduffie,nijah,mcduffie,2013-12-12,Male,1995-03-26,21,Less than 25,African-American,0,5,0,0,0,-1,2013-12-11 11:08:04,2013-12-12 08:41:41,13017208CF10A,2013-12-11,,1,F,Obstruct Fire Equipment,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-12,Risk of Violence,7,Medium,2013-12-12,2014-09-10,2014-09-24,0,0,272,0,0,0 +1015,david washington,david,washington,2014-01-22,Male,1978-10-12,37,25 - 45,African-American,0,4,0,0,11,-1,2014-01-21 07:19:02,2014-01-23 04:03:56,14000875CF10A,2014-01-21,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-22,Risk of Violence,2,Low,2014-01-22,2016-03-02,2016-03-14,11,1,770,0,0,0 +1016,ryan chambers,ryan,chambers,2013-04-15,Male,1985-08-01,30,25 - 45,Other,0,9,0,0,4,-1,2013-04-14 09:47:43,2013-04-15 07:07:32,13015943TC10A,2013-04-14,,1,M,Reckless Driving,1,13006811CF10A,(F1),0,2013-05-10,Attempt Murder in the First Degree,2013-05-10,2013-05-17,,1,13006811CF10A,(F1),2013-05-10,Attempt Murder in the First Degree,Risk of Recidivism,9,High,2013-04-15,Risk of Violence,8,High,2013-04-15,2013-05-10,2013-05-17,4,0,25,1,1,1 +1017,rickie miranda,rickie,miranda,2014-01-21,Male,1982-11-06,33,25 - 45,Caucasian,0,5,0,0,5,-32,2013-12-20 04:48:41,2014-01-11 03:03:23,13015561CF10A,,2013-12-20,32,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-21,Risk of Violence,2,Low,2014-01-21,2013-12-20,2014-01-11,5,0,801,0,0,0 +1018,anthony hansberry,anthony,hansberry,2013-04-10,Male,1984-09-19,31,25 - 45,African-American,0,7,0,0,2,,,,11021360MM10A,2011-09-23,,565,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-10,Risk of Violence,6,Medium,2013-04-10,,,2,0,1087,0,0,0 +1020,ivor singh,ivor,singh,2014-02-02,Male,1961-07-08,54,Greater than 45,Other,0,1,0,0,0,0,2014-02-02 12:09:29,2014-02-02 07:50:16,14001441CF10A,2014-02-01,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,1,Low,2014-02-02,2014-02-02,2014-02-02,0,0,789,0,0,0 +1022,albalidia torres,albalidia,torres,2014-01-31,Female,1984-04-23,31,25 - 45,African-American,0,1,0,0,0,0,2014-01-31 01:35:12,2014-01-31 01:27:09,14001682MM10A,2014-01-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2014-01-31,2014-01-31,0,0,791,0,0,0 +1023,esther catala,esther,catala,2014-02-28,Female,1956-11-30,59,Greater than 45,Caucasian,0,3,0,0,2,26,2014-03-26 09:34:52,2014-04-24 10:32:10,13001158CF10A,2013-01-24,,400,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-28,Risk of Violence,1,Low,2014-02-28,2014-03-26,2014-04-24,2,0,26,0,0,0 +1024,jamil robinson,jamil,robinson,2013-09-27,Male,1989-01-15,27,25 - 45,African-American,0,2,0,0,0,-1,2013-09-26 05:55:20,2013-09-27 08:21:29,13013539CF10A,2013-09-26,,1,M,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-27,Risk of Violence,2,Low,2013-09-27,2013-09-26,2013-09-27,0,0,917,0,0,0 +1025,jarvarris brown,jarvarris,brown,2013-10-14,Male,1979-09-11,36,25 - 45,African-American,0,7,0,0,0,-1,2013-10-13 05:56:25,2013-10-14 02:07:16,13019418MM10A,2013-10-13,,1,M,Battery,1,14010849MM10A,(M1),,2014-06-03,Battery,,,,1,14010849MM10A,(M1),2014-06-03,Battery,Risk of Recidivism,7,Medium,2013-10-14,Risk of Violence,2,Low,2013-10-14,2013-10-13,2013-10-14,0,0,232,1,1,1 +1027,walter hart,walter,hart,2013-04-04,Male,1994-01-08,22,Less than 25,African-American,0,9,0,1,3,0,2013-04-04 07:34:43,2014-02-21 10:11:50,13004835CF10A,,2013-04-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-04,Risk of Violence,8,High,2013-04-04,2013-04-04,2014-02-21,3,323,1093,0,0,0 +1030,melissa harris,melissa,harris,2013-04-26,Female,1987-08-20,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-25 09:33:39,2013-04-26 08:16:52,13008008MM10A,2013-04-25,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,2,Low,2013-04-26,2014-04-25,2014-04-26,0,0,364,0,0,0 +1034,jameel brinson,jameel,brinson,2013-01-14,Male,1993-02-18,23,Less than 25,African-American,0,10,0,1,2,0,2013-01-14 04:13:05,2013-04-04 07:46:57,13000874MM10A,2013-01-14,,0,M,Battery,1,13010127MM10A,(M2),0,2013-05-27,Petit Theft,2013-05-27,2013-06-18,,1,14005510CF10A,(F1),2014-04-20,Carjacking,Risk of Recidivism,10,High,2013-01-14,Risk of Violence,9,High,2013-01-14,2013-05-27,2013-06-18,2,80,133,1,1,1 +1036,vanessa vedrine,vanessa,vedrine,2013-04-27,Male,1988-10-08,27,25 - 45,African-American,0,4,0,0,3,-1,2013-04-26 04:48:56,2013-04-27 01:30:22,13006045CF10A,2013-04-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,3,Low,2013-04-27,2014-08-12,2014-08-13,3,0,472,0,0,0 +1037,eihab farraj,eihab,farraj,2013-05-24,Male,1994-08-20,21,Less than 25,Asian,0,6,0,1,0,-1,2013-05-23 04:42:45,2013-05-24 01:33:21,13007387CF10A,2013-05-23,,1,F,Att Tamper w/Physical Evidence,1,14015415CF10A,(F1),0,2014-11-15,Burgl Dwel/Struct/Convey Armed,2014-11-15,2014-12-24,,1,14015415CF10A,(F3),2014-11-15,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-05-24,Risk of Violence,6,Medium,2013-05-24,2014-11-15,2014-12-24,0,0,540,1,1,1 +1041,shawnita obasogie,shawnita,obasogie,2013-11-15,Female,1984-02-27,32,25 - 45,African-American,0,2,0,0,2,-43,2013-10-03 12:00:11,2013-10-03 06:36:07,13013850CF10A,2013-10-02,,44,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-15,Risk of Violence,1,Low,2013-11-15,2013-10-03,2013-10-03,2,0,868,0,0,0 +1043,timothy gordon,timothy,gordon,2013-08-22,Male,1984-07-22,31,25 - 45,African-American,0,7,0,0,5,-1,2013-08-21 10:33:41,2013-08-28 08:10:48,13008506CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-22,Risk of Violence,4,Low,2013-08-22,2013-12-11,2013-12-17,5,6,111,0,0,0 +1044,andrew ellis,andrew,ellis,2013-09-25,Male,1979-06-04,36,25 - 45,African-American,0,5,1,0,4,-1,2013-09-24 01:15:18,2013-09-26 04:16:06,13018225MM10A,2013-09-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-25,Risk of Violence,2,Low,2013-09-25,2013-09-24,2013-09-26,4,1,919,0,0,0 +1046,johnie wilson,johnie,wilson,2013-09-04,Male,1979-07-09,36,25 - 45,African-American,0,5,0,0,1,,,,12003953MM10A,2012-02-26,,556,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-04,Risk of Violence,5,Medium,2013-09-04,,,1,0,940,0,0,0 +1049,lonnie paccione,lonnie,paccione,2013-05-03,Male,1963-04-17,53,Greater than 45,Caucasian,0,1,0,0,2,-2,2013-05-01 05:14:23,2013-05-02 05:04:15,13006254CF10A,2013-05-01,,2,F,Deliver Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2013-05-01,2013-05-02,2,0,1064,0,0,0 +1054,kendrick joseph,kendrick,joseph,2014-01-14,Male,1995-01-16,21,Less than 25,African-American,1,10,0,0,2,-306,2013-03-14 12:55:28,2014-01-02 10:38:00,13005142CF10A,,2013-04-16,273,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-14,Risk of Violence,9,High,2014-01-14,2013-03-14,2014-01-02,2,0,808,0,0,0 +1055,john sherbondy,john,sherbondy,2013-08-19,Male,1982-12-17,33,25 - 45,African-American,0,8,0,0,4,236,2014-04-12 02:28:50,2015-03-17 06:32:57,11017912CF10A,,2012-02-09,557,F,arrest case no charge,1,14005295CF10A,(F3),,2014-04-02,Grand Theft in the 3rd Degree,,,,1,14005098CF10A,(F3),2014-04-11,Aggravated Assault w/Firearm,Risk of Recidivism,8,High,2013-08-19,Risk of Violence,6,Medium,2013-08-19,2015-06-23,2020-01-01,4,0,226,1,1,1 +1058,donald constant,donald,constant,2013-05-05,Male,1987-12-15,28,25 - 45,African-American,0,4,0,0,2,-1,2013-05-04 08:17:34,2013-05-10 09:32:52,12011021MM10A,,2013-05-04,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-05,Risk of Violence,2,Low,2013-05-05,2013-05-04,2013-05-10,2,5,1062,0,0,0 +1059,maceo wright,maceo,wright,2013-09-21,Male,1991-11-26,24,Less than 25,African-American,0,6,0,0,1,-1,2013-09-20 03:56:36,2013-09-21 08:41:09,13017988MM10A,2013-09-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-21,Risk of Violence,4,Low,2013-09-21,2013-09-20,2013-09-21,1,0,923,0,0,0 +1060,william karlson,william,karlson,2013-12-19,Male,1971-09-04,44,25 - 45,African-American,0,1,0,0,1,-1,2013-12-18 07:50:18,2013-12-19 08:37:29,13017492CF10A,2013-12-18,,1,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-19,Risk of Violence,1,Low,2013-12-19,2015-03-06,2015-03-07,1,0,442,0,0,0 +1061,zacchius boyce,zacchius,boyce,2013-02-27,Male,1969-09-17,46,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-26 07:01:42,2013-02-27 07:50:29,13003011CF10A,2013-02-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-27,Risk of Violence,1,Low,2013-02-27,2013-02-26,2013-02-27,0,0,1129,0,0,0 +1062,duval dixon,duval,dixon,2013-03-24,Male,1979-01-07,37,25 - 45,African-American,0,3,0,0,6,0,2013-03-24 03:36:52,2013-03-25 07:15:05,13004342CF10A,2013-03-24,,0,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,5,Medium,2013-03-24,2013-03-24,2013-03-25,6,1,1104,0,0,0 +1065,geovani johnson,geovani,johnson,2013-08-22,Male,1988-05-18,27,25 - 45,African-American,0,8,1,0,10,0,2013-08-22 03:03:57,2013-08-22 08:25:10,13011816CF10A,2013-08-22,,0,F,Driving While License Revoked,1,13012248CF10A,(F3),0,2013-08-29,Possession of Cocaine,2013-08-29,2013-08-31,,1,14013212CF10A,(F1),2014-09-29,Robbery W/Firearm,Risk of Recidivism,8,High,2013-08-22,Risk of Violence,7,Medium,2013-08-22,2013-08-29,2013-08-31,10,0,7,1,1,1 +1066,lazaro vergara,lazaro,vergara,2013-02-12,Male,1975-05-16,40,25 - 45,Caucasian,0,2,0,0,1,-1,2013-02-11 10:39:48,2013-02-13 10:03:55,13002109CF10A,2013-02-11,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-12,Risk of Violence,1,Low,2013-02-12,2013-02-11,2013-02-13,1,1,1144,0,0,0 +1069,bart storm,bart,storm,2014-03-21,Male,1962-07-10,53,Greater than 45,Caucasian,0,1,0,0,1,-6,2014-03-15 04:06:38,2014-03-21 11:05:39,14003705CF10A,,2014-03-14,7,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-21,Risk of Violence,1,Low,2014-03-21,2014-03-15,2014-03-21,1,0,742,0,0,0 +1070,anthony newson,anthony,newson,2013-05-23,Male,1989-04-27,26,25 - 45,African-American,0,6,1,0,8,-52,2013-04-01 12:44:34,2013-05-12 02:18:45,13004699CF10A,2013-04-01,,52,F,Attempted Robbery Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-23,Risk of Violence,6,Medium,2013-05-23,2015-09-10,2015-09-15,8,0,840,0,0,0 +1072,andre levy,andre,levy,2014-02-02,Male,1987-06-14,28,25 - 45,African-American,0,1,0,0,0,-1,2014-02-01 07:34:55,2014-02-02 07:48:16,14001432CF10A,2014-02-01,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,3,Low,2014-02-02,2014-02-01,2014-02-02,0,0,789,0,0,0 +1073,jonathan vanegas,jonathan,vanegas,2014-02-10,Male,1993-03-01,23,Less than 25,Hispanic,0,4,0,0,0,0,2014-02-10 04:37:45,2014-02-10 08:40:32,14005313MU10A,2014-02-10,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-10,Risk of Violence,5,Medium,2014-02-10,2014-02-10,2014-02-10,0,0,781,0,0,0 +1076,victoria hay,victoria,hay,2013-02-12,Female,1969-05-07,46,Greater than 45,Caucasian,0,8,0,0,2,-1,2013-02-11 07:18:03,2013-03-03 05:03:27,13002106CF10A,2013-02-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-12,Risk of Violence,1,Low,2013-02-12,2013-07-10,2013-10-17,2,19,148,0,0,0 +1079,markland blackwood,markland,blackwood,2013-07-09,Male,1978-07-21,37,25 - 45,African-American,0,1,0,0,5,,,,13008358CF10A,2013-06-11,,28,F,Aggravated Battery / Pregnant,1,13022826MM10A,(M1),,2013-11-14,Battery,,,,1,13022826MM10A,(M1),2013-11-14,Battery,Risk of Recidivism,1,Low,2013-07-09,Risk of Violence,2,Low,2013-07-09,,,5,0,128,1,1,1 +1081,rapheal brown,rapheal,brown,2013-04-10,Male,1971-11-30,44,25 - 45,African-American,0,1,0,1,1,,,,11126344TI30A,2011-11-24,,503,M,Fail To Secure Load,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-10,Risk of Violence,1,Low,2013-04-10,,,1,0,1087,0,0,0 +1084,paul henderson,paul,henderson,2013-04-29,Male,1970-07-11,45,Greater than 45,African-American,0,1,0,0,0,-1,2013-04-28 07:46:48,2013-04-30 03:53:04,13008185MM10A,2013-04-28,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-28,2013-04-30,0,1,1068,0,0,0 +1086,walter eady,walter,eady,2014-02-28,Male,1993-11-16,22,Less than 25,African-American,0,5,0,0,1,-1,2014-02-27 05:17:46,2014-02-28 01:22:35,14002787CF10A,,2014-02-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-28,Risk of Violence,7,Medium,2014-02-28,2014-05-08,2014-05-28,1,0,69,0,0,0 +1087,kevin abreu,kevin,abreu,2014-02-13,Male,1989-10-08,26,25 - 45,Caucasian,0,2,0,0,1,0,2014-02-13 02:31:02,2014-03-01 09:14:16,14001331CF10A,,2014-02-13,0,F,arrest case no charge,1,14033290TC10A,(M2),0,2014-09-14,Lve/Scen/Acc/Veh/Prop/Damage,2014-09-14,2014-10-03,,1,15010287MM10A,(M1),2015-09-30,Battery,Risk of Recidivism,2,Low,2014-02-13,Risk of Violence,3,Low,2014-02-13,2014-09-14,2014-10-03,1,16,213,1,1,1 +1088,joseph costino,joseph,costino,2013-01-10,Male,1954-03-12,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-09 03:17:14,2013-01-12 03:08:45,13000380CF10A,2013-01-09,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,2013-01-09,2013-01-12,0,2,1177,0,0,0 +1092,angel nunez,angel,nunez,2013-08-08,Male,1991-10-08,24,Less than 25,Hispanic,0,10,0,0,1,-6,2013-08-02 10:27:58,2013-08-08 11:00:55,13010905CF10A,2013-08-02,,6,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-08,Risk of Violence,5,Medium,2013-08-08,2013-11-15,2013-11-19,1,0,99,0,0,0 +1093,william baumann,william,baumann,2013-01-14,Male,1994-09-02,21,Less than 25,Caucasian,0,2,0,0,0,-1,2013-01-13 10:04:17,2013-01-14 12:55:21,13000783MM10A,2013-01-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,5,Medium,2013-01-14,2013-01-13,2013-01-14,0,0,1173,0,0,0 +1094,caitlin wallace,caitlin,wallace,2014-12-13,Male,1991-03-11,25,25 - 45,Caucasian,0,2,0,0,0,-1,2014-12-12 07:29:14,2014-12-13 07:28:15,14016511CF10A,2014-12-12,,1,F,Felony Battery,1,15015010CF10A,(F2),0,2015-11-19,Agg Battery Grt/Bod/Harm,2015-11-19,2015-11-20,,1,15015010CF10A,(F2),2015-11-19,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2014-12-13,Risk of Violence,3,Low,2014-12-13,2015-11-19,2015-11-20,0,0,341,1,1,1 +1096,gregory still,gregory,still,2013-01-08,Male,1947-08-26,68,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-07 05:13:05,2013-01-10 09:39:29,13000399MM10A,2013-01-07,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-08,Risk of Violence,1,Low,2013-01-08,2013-01-07,2013-01-10,0,2,1179,0,0,0 +1097,brendan casey,brendan,casey,2014-02-20,Male,1974-05-10,41,25 - 45,Caucasian,0,2,0,0,2,-47,2014-01-04 06:03:39,2014-01-04 08:34:05,14000375MU10A,2014-01-04,,47,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-20,Risk of Violence,2,Low,2014-02-20,2014-01-04,2014-01-04,2,0,771,0,0,0 +1099,christopher rabold,christopher,rabold,2013-03-02,Male,1994-11-27,21,Less than 25,Caucasian,0,3,0,0,1,-1,2013-03-01 07:29:20,2013-03-02 07:28:52,13003104CF10A,,2013-03-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-02,Risk of Violence,6,Medium,2013-03-02,2013-03-01,2013-03-02,1,0,1126,0,0,0 +1101,elsa tejada,elsa,tejada,2014-02-03,Female,1978-11-14,37,25 - 45,Hispanic,0,3,0,0,1,-1,2014-02-02 08:11:13,2014-02-04 04:08:24,14001476CF10A,2014-02-02,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-02,2014-02-04,1,1,788,0,0,0 +1103,kalil edwards,kalil,edwards,2013-11-12,Male,1993-06-26,22,Less than 25,African-American,0,8,0,0,0,0,2013-11-12 01:16:29,2013-11-12 08:32:15,13015693CF10A,2013-11-12,,0,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-12,Risk of Violence,5,Medium,2013-11-12,2013-11-12,2013-11-12,0,0,871,0,0,0 +1106,gregory osman,gregory,osman,2013-01-29,Male,1974-03-14,42,25 - 45,Caucasian,0,1,0,0,1,-1,2013-01-28 05:40:47,2013-01-29 01:19:50,11015816CF10A,,2013-01-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-28,2013-01-29,1,0,1158,0,0,0 +1111,joseph kelley,joseph,kelley,2013-04-01,Male,1967-11-19,48,Greater than 45,African-American,0,6,0,0,2,0,2013-04-01 06:58:00,2013-04-02 12:49:07,13004649CF10A,2013-04-01,,0,F,Fel Drive License Perm Revoke,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-04-01,2013-04-02,2,1,1096,0,0,0 +1118,vicky castillo,vicky,castillo,2013-10-01,Female,1970-10-05,45,Greater than 45,Caucasian,0,1,0,0,1,-106,2013-06-17 04:01:20,2013-06-25 08:31:02,13007024CF10A,,2013-06-17,106,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-06-17,2013-06-25,1,0,913,0,0,0 +1119,tavarus grayheart,tavarus,grayheart,2014-03-13,Male,1992-10-15,23,Less than 25,African-American,0,9,0,1,6,-1,2014-03-12 04:49:26,2014-03-20 09:46:56,14003509CF10A,2014-03-12,,1,F,Grand Theft in the 3rd Degree,1,14027514TC20A,(M2),,2014-04-03,Susp Drivers Lic 1st Offense,,,,1,15015308CF10A,(F2),2015-11-27,Agg Flee/Eluding (Injury/Prop Damage),Risk of Recidivism,9,High,2014-03-13,Risk of Violence,8,High,2014-03-13,2014-03-12,2014-03-20,6,7,21,1,1,1 +1120,michall simon,michall,simon,2013-04-07,Male,1991-10-24,24,Less than 25,African-American,0,8,0,0,0,0,2013-04-07 02:55:12,2013-04-08 10:05:58,13005000CF10A,2013-04-06,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-07,Risk of Violence,7,Medium,2013-04-07,2013-04-07,2013-04-08,0,1,1090,0,0,0 +1121,deonte knight,deonte,knight,2013-04-25,Male,1987-01-24,29,25 - 45,African-American,0,2,0,0,0,-1,2013-04-24 05:48:18,2013-04-25 11:01:14,13005894CF10A,2013-04-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-25,Risk of Violence,3,Low,2013-04-25,2014-08-12,2014-08-12,0,0,474,0,0,0 +1122,jacky voltaire,jacky,voltaire,2013-07-18,Male,1991-05-15,24,Less than 25,African-American,0,3,0,0,0,-3,2013-07-15 11:39:27,2013-07-16 01:15:42,13009914CF10A,2013-07-15,,3,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-18,Risk of Violence,4,Low,2013-07-18,2013-07-15,2013-07-16,0,0,988,0,0,0 +1123,willie johnson,willie,johnson,2013-09-09,Male,1965-11-02,50,Greater than 45,African-American,0,9,0,0,11,0,2013-09-09 01:51:41,2013-09-11 04:56:45,13012732CF10A,2013-09-09,,0,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-09,Risk of Violence,6,Medium,2013-09-09,2013-09-09,2013-09-11,11,2,935,0,0,0 +1127,norman bushay,norman,bushay,2013-03-05,Male,1992-04-28,23,Less than 25,African-American,0,2,0,0,0,0,2013-03-05 03:06:29,2013-03-05 06:43:38,13003303CF10A,2013-03-05,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-05,Risk of Violence,4,Low,2013-03-05,2013-03-05,2013-03-05,0,0,1123,0,0,0 +1128,brenda hernandez,brenda,hernandez,2013-01-05,Female,1994-02-09,22,Less than 25,Caucasian,0,5,0,0,0,-1,2013-01-04 05:04:08,2013-01-06 05:48:14,13000570TC10A,2013-01-04,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-05,Risk of Violence,6,Medium,2013-01-05,2013-01-04,2013-01-06,0,1,1182,0,0,0 +1129,kent rizon,kent,rizon,2013-11-13,Male,1980-03-16,36,25 - 45,Other,0,1,0,0,0,-1,2013-11-12 03:12:05,2013-11-19 05:29:28,13015711CF10A,2013-11-12,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-13,Risk of Violence,1,Low,2013-11-13,2013-11-12,2013-11-19,0,6,870,0,0,0 +1132,edmund callahan,edmund,callahan,2013-10-23,Female,1963-03-24,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-23 02:26:06,2013-10-24 06:18:43,13014806CF10A,2013-10-23,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2014-10-27,2014-10-31,0,1,369,0,0,0 +1135,john martinelli,john,martinelli,2014-01-13,Male,1991-09-01,24,Less than 25,Caucasian,0,3,0,0,1,-37,2013-12-07 10:28:43,2013-12-08 01:46:26,13016950CF10A,2013-12-07,,37,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-13,Risk of Violence,3,Low,2014-01-13,2014-03-12,2014-04-01,1,0,58,0,0,0 +1138,marsha jeanjoseph,marsha,jeanjoseph,2014-01-03,Female,1990-06-12,25,25 - 45,African-American,0,9,0,0,1,0,2014-01-03 02:09:56,2014-01-03 07:33:37,09066249TC30A,,2009-08-18,1599,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-03,Risk of Violence,5,Medium,2014-01-03,2014-01-03,2014-01-03,1,0,819,0,0,0 +1140,edwin swinton,edwin,swinton,2013-05-17,Male,1944-05-30,71,Greater than 45,African-American,0,1,0,0,8,-1,2013-05-16 09:36:12,2013-06-10 07:28:18,13006982CF10A,2013-05-16,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-17,Risk of Violence,2,Low,2013-05-17,2013-05-16,2013-06-10,8,24,1050,0,0,0 +1141,elliot king,elliot,king,2013-01-12,Male,1976-06-20,39,25 - 45,African-American,0,9,4,0,10,-1,2013-01-11 12:37:30,2013-02-21 07:26:22,04009015TC40A,,2004-11-01,2994,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-12,Risk of Violence,3,Low,2013-01-12,2013-09-07,2013-10-14,10,40,238,0,0,0 +1142,lashonn boykin,lashonn,boykin,2014-01-11,Female,1979-04-03,37,25 - 45,African-American,0,5,0,0,0,0,2014-01-11 04:29:19,2014-02-17 08:19:02,14000466CF10A,2014-01-11,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-11,Risk of Violence,3,Low,2014-01-11,2014-01-11,2014-02-17,0,37,811,0,0,0 +1144,brittany exantus,brittany,exantus,2013-08-13,Female,1986-06-02,29,25 - 45,African-American,0,5,0,0,3,-1,2013-08-12 08:00:00,2013-08-13 06:43:07,13011319CF10A,2013-08-12,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-13,Risk of Violence,4,Low,2013-08-13,2013-08-12,2013-08-13,3,0,962,0,0,0 +1149,sergio sergio,sergio,sergio,2013-01-15,Male,1980-09-19,35,25 - 45,Hispanic,0,7,0,0,5,,,,10010801CF10A,,2011-04-02,654,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,7,Medium,2013-01-15,,,5,0,1172,0,0,0 +1152,maxima basil,maxima,basil,2014-01-10,Female,1992-12-30,23,Less than 25,Other,0,10,0,0,0,-1,2014-01-09 02:16:17,2014-01-10 08:41:42,14000393MM10A,2014-01-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-10,Risk of Violence,10,High,2014-01-10,2014-01-09,2014-01-10,0,0,812,0,0,0 +1156,latrellias butler,latrellias,butler,2014-03-07,Female,1992-10-27,23,Less than 25,African-American,0,2,0,0,0,-1,2014-03-06 08:02:12,2014-03-07 08:50:57,14003178CF10A,2014-03-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-07,Risk of Violence,3,Low,2014-03-07,2014-03-06,2014-03-07,0,0,756,0,0,0 +1157,james tiger,james,tiger,2013-11-05,Male,1988-09-09,27,25 - 45,Native American,0,7,0,0,3,0,2013-11-05 04:32:08,2013-11-06 03:05:48,13020889MM10A,2013-11-05,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-05,Risk of Violence,4,Low,2013-11-05,2013-11-05,2013-11-06,3,1,878,0,0,0 +1159,rosalind townsend,rosalind,townsend,2013-09-23,Female,1963-03-28,53,Greater than 45,African-American,0,1,0,0,0,0,2013-09-23 02:29:56,2013-09-23 08:46:28,13013383CF10A,2013-09-23,,0,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-23,2013-09-23,0,0,921,0,0,0 +1160,lasha ware,lasha,ware,2013-05-05,Female,1992-10-13,23,Less than 25,African-American,0,7,0,0,0,-1,2013-05-04 10:05:51,2013-05-05 06:07:57,13006404CF10A,2013-05-04,,1,F,Aggrav Battery w/Deadly Weapon,1,16000422MM30A,(M1),,2016-02-21,Criminal Mischief>$200<$1000,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-05,Risk of Violence,7,Medium,2013-05-05,2013-05-04,2013-05-05,0,0,1022,1,0,0 +1163,derion mcreed,derion,mcreed,2013-01-04,Male,1990-07-01,25,25 - 45,African-American,0,6,0,0,6,-1,2013-01-03 05:43:48,2013-01-09 05:44:20,13000126CF10A,2013-01-03,,1,F,Burglary Unoccupied Dwelling,1,15014297CF10A,(F3),136,2015-11-02,Grand Theft (Motor Vehicle),2016-03-17,2016-04-15,,0,,,,,Risk of Recidivism,6,Medium,2013-01-04,Risk of Violence,5,Medium,2013-01-04,2014-06-11,2014-06-11,6,5,523,0,0,0 +1165,alan messina,alan,messina,2013-08-04,Male,1992-05-23,23,Less than 25,Other,0,4,0,0,2,-1,2013-08-03 07:10:36,2013-08-04 08:13:39,13014666MM10A,2013-08-03,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-04,Risk of Violence,6,Medium,2013-08-04,2014-03-13,2014-03-26,2,0,221,0,0,0 +1166,brandon henley,brandon,henley,2014-03-11,Male,1988-10-15,27,25 - 45,African-American,0,9,0,0,4,0,2014-03-11 05:19:53,2014-03-11 08:47:22,14003434CF10A,2014-03-11,,0,F,Pos Cannabis W/Intent Sel/Del,1,14013852CF10A,(F3),,2014-10-13,Grand Theft (Motor Vehicle),,,,1,14013852CF10A,(M2),2014-10-13,Assault,Risk of Recidivism,9,High,2014-03-11,Risk of Violence,7,Medium,2014-03-11,2014-03-11,2014-03-11,4,0,216,1,1,1 +1167,roderick wongwon,roderick,wongwon,2013-10-10,Male,1989-09-30,26,25 - 45,African-American,0,3,0,0,2,-106,2013-06-26 01:01:35,2013-06-26 08:16:53,13012228MM10A,2013-06-25,,107,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-10,Risk of Violence,4,Low,2013-10-10,2013-06-26,2013-06-26,2,0,904,0,0,0 +1169,dominic mcintosh,dominic,mcintosh,2013-05-20,Male,1987-03-23,29,25 - 45,African-American,0,4,0,0,1,-1,2013-05-19 04:24:50,2013-05-22 12:18:30,13009628MM10A,2013-05-19,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-20,Risk of Violence,3,Low,2013-05-20,2015-06-22,2015-06-26,1,2,763,0,0,0 +1171,david humberto,david,humberto,2013-04-18,Male,1988-01-16,28,25 - 45,Hispanic,0,2,0,0,0,-1,2013-04-17 07:59:26,2013-04-18 10:21:13,13005517CF10A,2013-04-17,,1,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-18,Risk of Violence,2,Low,2013-04-18,2013-04-17,2013-04-18,0,0,1079,0,0,0 +1172,sergio vankanten,sergio,vankanten,2013-09-22,Male,1984-07-02,31,25 - 45,African-American,0,2,0,0,0,-1,2013-09-21 09:12:18,2013-09-22 08:15:55,13018031MM10A,2013-09-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-22,Risk of Violence,1,Low,2013-09-22,2013-09-21,2013-09-22,0,0,922,0,0,0 +1176,alexander pauleuc,alexander,pauleuc,2013-05-28,Male,1990-06-21,25,25 - 45,Caucasian,0,2,0,0,0,-2,2013-05-26 01:54:05,2013-05-26 09:24:25,13010061MM10A,2013-05-25,,3,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,3,Low,2013-05-28,2013-05-26,2013-05-26,0,0,1039,0,0,0 +1177,christopher kiefer,christopher,kiefer,2014-02-24,Male,1969-04-02,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-23 12:27:01,2014-02-23 08:15:29,14006834MU10A,2014-02-22,,2,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-23,2014-02-23,0,0,767,0,0,0 +1179,lennox cameron,lennox,cameron,2013-03-31,Male,1979-01-06,37,25 - 45,African-American,0,2,0,0,4,-1,2013-03-30 11:29:11,2013-03-31 12:23:51,13004564CF10A,2013-03-30,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-08-12,2013-08-13,4,0,134,0,0,0 +1181,shawanda johnson,shawanda,johnson,2013-08-24,Female,1981-01-12,35,25 - 45,African-American,0,5,0,0,4,-1,2013-08-23 11:46:10,2013-08-25 12:15:56,13011914CF10A,2013-08-23,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-24,Risk of Violence,3,Low,2013-08-24,2013-08-23,2013-08-25,4,1,951,0,0,0 +1187,sylas swaskee,sylas,swaskee,2014-10-15,Male,1995-01-10,21,Less than 25,Caucasian,0,9,2,1,2,-1,2014-10-14 06:55:40,2014-10-20 04:58:47,14013865CF10A,2014-10-14,,1,F,Grand Theft (Motor Vehicle),1,15001387CF10A,(F2),,2014-11-26,Robbery Sudd Snatch w/Weapon,,,,1,15001387CF10A,(F2),2014-11-26,Robbery Sudd Snatch w/Weapon,Risk of Recidivism,9,High,2014-10-15,Risk of Violence,8,High,2014-10-15,2014-10-14,2014-10-20,2,5,42,1,1,1 +1192,joseph roberts,joseph,roberts,2013-10-11,Male,1959-02-06,57,Greater than 45,African-American,0,6,0,0,11,-1,2013-10-10 04:21:35,2014-02-27 09:34:33,13014202CF10A,2013-10-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-11,Risk of Violence,5,Medium,2013-10-11,2013-10-10,2014-02-27,11,139,903,0,0,0 +1193,darren petri,darren,petri,2013-12-30,Male,1968-01-30,48,Greater than 45,Caucasian,0,7,0,0,0,-1,2013-12-29 08:36:14,2014-01-09 09:02:40,13017927CF10A,2013-12-29,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-30,Risk of Violence,4,Low,2013-12-30,2014-12-25,2015-01-05,0,10,360,0,0,0 +1194,mackenson revolus,mackenson,revolus,2013-03-06,Male,1979-12-28,36,25 - 45,Other,0,1,0,0,0,-1,2013-03-05 02:14:50,2013-03-10 05:24:10,13003427CF10A,2013-03-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,1,Low,2013-03-06,2013-03-05,2013-03-10,0,4,1122,0,0,0 +1195,latonya ray,latonya,ray,2014-01-09,Female,1979-04-05,37,25 - 45,African-American,0,7,0,0,3,-1,2014-01-08 07:01:21,2014-02-05 10:16:46,14000337CF10A,2014-01-08,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-09,Risk of Violence,4,Low,2014-01-09,2014-01-08,2014-02-05,3,27,813,0,0,0 +1196,kevin kendall,kevin,kendall,2013-01-01,Male,1984-09-16,31,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-01 04:29:04,2013-01-06 08:57:53,13000060MM10A,2013-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-01,Risk of Violence,2,Low,2013-01-01,2013-01-01,2013-01-06,0,5,1186,0,0,0 +1198,dale alderson,dale,alderson,2013-05-10,Male,1985-02-14,31,25 - 45,Caucasian,0,3,0,0,2,0,2013-05-10 02:37:25,2013-05-10 08:03:14,13009071MM10A,2013-05-10,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-10,Risk of Violence,2,Low,2013-05-10,2013-05-10,2013-05-10,2,0,1057,0,0,0 +1202,christopher patterson,christopher,patterson,2013-10-20,Male,1983-06-13,32,25 - 45,African-American,0,9,0,1,22,0,2013-10-20 01:59:29,2013-10-20 08:13:18,13013808CF10A,,2013-10-20,0,F,arrest case no charge,1,14004969MM10A,(M1),0,2014-03-21,Viol Injunct Domestic Violence,2014-03-21,2014-05-18,,1,14004969MM10A,(M1),2014-03-21,Battery,Risk of Recidivism,9,High,2013-10-20,Risk of Violence,10,High,2013-10-20,2014-03-21,2014-05-18,22,0,152,1,1,1 +1204,elenaida nunez,elenaida,nunez,2014-02-22,Female,1992-11-17,23,Less than 25,Other,0,4,0,0,0,-1,2014-02-21 07:57:15,2014-02-22 08:23:54,14003086MM10A,2014-02-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-22,Risk of Violence,5,Medium,2014-02-22,2014-02-21,2014-02-22,0,0,769,0,0,0 +1205,ira butler,ira,butler,2013-10-24,Male,1952-09-20,63,Greater than 45,African-American,0,1,0,0,0,-1,2013-10-23 05:45:37,2013-10-24 01:09:57,13020101MM10A,2013-10-23,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,2013-10-23,2013-10-24,0,0,890,0,0,0 +1206,shamroy west,shamroy,west,2013-09-23,Male,1986-03-04,30,25 - 45,Other,0,1,0,0,0,-1,2013-09-22 01:14:48,2013-09-23 08:25:00,13013349CF10A,2013-09-22,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,2,Low,2013-09-23,2013-09-22,2013-09-23,0,0,921,0,0,0 +1207,william emerson,william,emerson,2013-05-14,Male,1989-12-12,26,25 - 45,Caucasian,0,5,0,0,2,-38,2013-04-06 05:56:09,2013-05-03 08:12:04,13004932CF10A,2013-04-06,,38,F,Possession of Cocaine,1,14016260CF10A,(F3),,2014-12-07,Aggravated Assault W/Dead Weap,,,,1,14016260CF10A,(F3),2014-12-07,Aggravated Assault W/Dead Weap,Risk of Recidivism,5,Medium,2013-05-14,Risk of Violence,4,Low,2013-05-14,2016-04-05,2020-01-01,2,0,572,1,1,1 +1208,marshal white,marshal,white,2013-05-23,Male,1968-02-14,48,Greater than 45,Caucasian,0,3,0,0,2,,,,13009888MM10A,2013-05-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-23,Risk of Violence,2,Low,2013-05-23,,,2,0,1044,0,0,0 +1209,justin may,justin,may,2014-03-12,Male,1995-09-12,20,Less than 25,Caucasian,0,4,0,2,0,-1,2014-03-11 08:50:15,2014-03-12 10:45:26,14003431CF10A,2014-03-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-12,Risk of Violence,7,Medium,2014-03-12,2014-03-11,2014-03-12,0,0,751,0,0,0 +1212,rohneisha foy,rohneisha,foy,2013-08-12,Female,1991-08-07,24,Less than 25,African-American,0,5,0,0,1,0,2013-08-12 03:10:53,2013-08-12 08:45:43,13015230MM10A,2013-08-12,,0,M,Battery,1,14008243MM10A,(M2),0,2014-04-24,Exposes Culpable Negligence,2014-04-24,2014-04-25,,1,14008243MM10A,(M1),2014-04-24,Battery,Risk of Recidivism,5,Medium,2013-08-12,Risk of Violence,4,Low,2013-08-12,2014-04-24,2014-04-25,1,0,255,1,1,1 +1213,latasha blakegoodwin,latasha,blakegoodwin,2014-01-13,Female,1979-11-29,36,25 - 45,African-American,0,2,0,0,1,-1,2014-01-12 08:52:22,2014-01-13 08:36:10,14003627TC10A,2014-01-12,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-13,Risk of Violence,2,Low,2014-01-13,2014-01-12,2014-01-13,1,0,809,0,0,0 +1215,alfonso puello,alfonso,puello,2013-01-06,Male,1933-03-07,83,Greater than 45,Hispanic,0,1,0,0,0,0,2013-01-06 02:36:31,2013-01-07 01:32:52,13000312MM10A,2013-01-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2013-01-06,2013-01-07,0,1,1181,0,0,0 +1216,mitchell berlanga,mitchell,berlanga,2013-10-15,Male,1987-12-01,28,25 - 45,Caucasian,0,6,0,0,2,0,2013-10-15 01:07:08,2013-10-15 08:16:41,13014370CF10A,2013-10-14,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-15,Risk of Violence,6,Medium,2013-10-15,2013-10-15,2013-10-15,2,0,899,0,0,0 +1219,ebony jones,ebony,jones,2014-01-17,Female,1983-01-12,33,25 - 45,African-American,0,2,0,0,0,-1,2014-01-16 08:14:14,2014-01-18 01:21:05,14000961CF10A,2014-01-16,,1,M,Simulation of Legal Process,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-17,Risk of Violence,2,Low,2014-01-17,2014-01-16,2014-01-18,0,1,805,0,0,0 +1220,lewis lynn,lewis,lynn,2013-01-13,Male,1977-01-31,39,25 - 45,African-American,0,3,0,0,0,0,2013-01-13 05:35:49,2013-01-13 07:51:04,13000599CF10A,2013-01-13,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-13,Risk of Violence,2,Low,2013-01-13,2013-01-13,2013-01-13,0,0,1174,0,0,0 +1221,romoy ramdeen,romoy,ramdeen,2013-12-20,Male,1986-07-27,29,25 - 45,Other,0,7,0,0,3,0,2013-12-20 05:11:31,2013-12-20 08:47:51,13023502MM10A,2013-12-20,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-20,Risk of Violence,5,Medium,2013-12-20,2013-12-20,2013-12-20,3,0,833,0,0,0 +1223,bailey greene,bailey,greene,2013-01-07,Female,1996-04-22,19,Less than 25,Caucasian,1,6,1,0,1,140,2013-05-27 02:53:50,2013-05-28 08:50:54,12023004MM10A,2012-09-29,,100,M,Operating W/O Valid License,1,13007558CF10A,(M1),1,2013-05-26,Battery,2013-05-27,2013-05-28,,1,13007558CF10A,(F3),2013-05-26,Aggravated Assault W/dead Weap,Risk of Recidivism,6,Medium,2013-01-07,Risk of Violence,8,High,2013-01-07,2013-05-27,2013-05-28,1,0,139,1,1,1 +1227,ricardo rodriguez,ricardo,rodriguez,2013-06-11,Male,1979-12-20,36,25 - 45,Hispanic,0,7,0,0,11,-79,2013-03-24 12:57:37,2013-06-11 11:10:38,13004343CF10A,,2013-04-30,42,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-06-11,Risk of Violence,6,Medium,2013-06-11,2015-12-14,2015-12-17,11,0,916,0,0,0 +1228,bradey birdsong,bradey,birdsong,2014-02-13,Female,1986-06-18,29,25 - 45,Caucasian,0,5,0,0,1,,,,09011928CF10A,2009-06-25,,1694,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-13,Risk of Violence,5,Medium,2014-02-13,,,1,0,778,0,0,0 +1229,earnest wiley,earnest,wiley,2014-02-11,Male,1980-08-12,35,25 - 45,African-American,0,6,0,0,7,-1,2014-02-10 05:03:39,2014-02-11 08:51:34,14001896CF10A,2014-02-10,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-11,Risk of Violence,2,Low,2014-02-11,2014-02-10,2014-02-11,7,0,780,0,0,0 +1230,selvin lopez,selvin,lopez,2014-03-22,Male,1991-06-02,24,Less than 25,African-American,0,3,0,1,0,-1,2014-03-21 08:31:22,2014-03-22 08:04:13,14004035CF10A,2014-03-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-22,Risk of Violence,3,Low,2014-03-22,2014-03-21,2014-03-22,0,0,741,0,0,0 +1231,russell norman,russell,norman,2013-09-28,Male,1989-06-01,26,25 - 45,Caucasian,0,2,0,0,0,773,2015-11-10 03:24:25,2015-11-19 05:38:35,13018424MM10A,2013-09-27,,1,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-28,Risk of Violence,2,Low,2013-09-28,2015-11-10,2015-11-19,0,0,773,0,0,0 +1233,giovanni santiago,giovanni,santiago,2013-08-20,Male,1989-06-19,26,25 - 45,Caucasian,0,4,0,0,8,-1,2013-08-19 03:18:18,2013-08-21 05:06:23,13011612CF10A,,2013-08-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-20,Risk of Violence,4,Low,2013-08-20,2013-08-19,2013-08-21,8,1,955,0,0,0 +1234,john harris,john,harris,2013-09-16,Male,1963-10-05,52,Greater than 45,African-American,0,6,0,0,7,,,,13014884MM10A,2013-03-15,,185,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-16,Risk of Violence,1,Low,2013-09-16,2008-08-21,2011-05-12,7,0,928,0,0,0 +1235,derek fuller,derek,fuller,2013-03-20,Male,1987-10-21,28,25 - 45,African-American,0,7,0,0,14,-1,2013-03-19 11:58:58,2013-03-20 09:53:42,13003997CF10A,2013-03-19,,1,F,Fleeing or Eluding a LEO,1,14000392CF10A,(M1),0,2014-01-09,Resist/Obstruct W/O Violence,2014-01-09,2014-02-28,,1,14005324CF10A,(F1),2014-04-16,Agg Battery Law Enforc Officer,Risk of Recidivism,7,Medium,2013-03-20,Risk of Violence,8,High,2013-03-20,2014-01-09,2014-02-28,14,0,295,1,1,1 +1237,javon jacobs,javon,jacobs,2013-03-08,Male,1983-05-14,32,25 - 45,African-American,0,5,0,0,0,-1,2013-03-07 11:30:49,2013-03-08 02:03:41,13004627MM10A,2013-03-07,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-08,Risk of Violence,2,Low,2013-03-08,2013-03-07,2013-03-08,0,0,1120,0,0,0 +1238,sissy zayas,sissy,zayas,2014-08-17,Female,1983-06-15,32,25 - 45,Caucasian,0,3,0,0,1,-1,2014-08-16 12:35:59,2014-08-17 09:00:26,14012384MM10A,2014-08-16,,1,M,Battery,1,15005873MM10A,(M1),0,2015-05-13,Resist/Obstruct W/O Violence,2015-05-13,2015-05-14,,1,15006260CF10A,(F3),2015-05-13,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2014-08-17,Risk of Violence,1,Low,2014-08-17,2015-05-13,2015-05-14,1,0,269,1,1,1 +1240,tacaris mitchell,tacaris,mitchell,2013-04-11,Male,1986-10-10,29,25 - 45,African-American,0,10,1,0,16,-1,2013-04-10 04:38:27,2013-04-27 04:55:16,13005157CF10A,2013-04-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-11,Risk of Violence,7,Medium,2013-04-11,2015-06-08,2020-01-01,16,16,788,0,0,0 +1243,sean claesgens,sean,claesgens,2013-02-20,Male,1972-08-02,43,25 - 45,Caucasian,0,1,0,0,0,0,2013-02-20 01:44:52,2013-02-20 06:58:59,13003542MM10A,2013-02-20,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-20,2013-02-20,0,0,1136,0,0,0 +1244,james stearns,james,stearns,2014-03-24,Male,1968-04-27,47,Greater than 45,Caucasian,0,4,0,0,2,-3,2014-03-21 01:08:20,2014-03-21 09:18:44,14004865CF10A,2014-03-20,,4,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-24,Risk of Violence,5,Medium,2014-03-24,2014-03-21,2014-03-21,2,0,739,0,0,0 +1247,keaira meilleur,keaira,meilleur,2013-05-17,Female,1992-07-28,23,Less than 25,African-American,0,3,0,0,1,-1,2013-05-16 06:54:16,2013-05-18 06:20:12,13007007CF10A,,2013-05-16,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-17,Risk of Violence,3,Low,2013-05-17,2013-05-16,2013-05-18,1,1,1050,0,0,0 +1248,mircea marton,mircea,marton,2013-09-04,Male,1976-06-07,39,25 - 45,Caucasian,0,2,0,0,2,-1,2013-09-03 11:32:26,2013-09-04 02:17:38,13016877MM10A,2013-09-03,,1,M,Battery,1,15063407TC40A,(M2),,2015-09-29,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-04,Risk of Violence,2,Low,2013-09-04,2013-09-03,2013-09-04,2,0,755,1,0,0 +1252,emmanuel philogene,emmanuel,philogene,2013-08-21,Male,1982-12-18,33,25 - 45,Other,0,1,0,0,0,-1,2013-08-20 01:28:52,2013-08-21 07:36:34,13011699CF10A,,2013-08-20,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-21,Risk of Violence,2,Low,2013-08-21,2013-11-09,2013-11-26,0,0,80,0,0,0 +1253,romario james,romario,james,2013-03-31,Male,1995-01-02,21,Less than 25,Other,0,3,0,0,0,-1,2013-03-30 03:21:05,2013-03-31 07:12:30,13004601CF10A,2013-03-30,,1,F,Grand Theft of a Fire Extinquisher,1,13007664MM10A,(M2),0,2013-04-20,Prowling/Loitering,2013-04-20,2013-04-21,,1,15001010CF10A,(F1),2015-01-22,Robbery W/Firearm,Risk of Recidivism,3,Low,2013-03-31,Risk of Violence,7,Medium,2013-03-31,2013-04-20,2013-04-21,0,0,20,1,1,1 +1254,anthony freeman,anthony,freeman,2013-01-29,Male,1972-08-23,43,25 - 45,African-American,1,8,0,0,20,0,2013-01-29 02:25:12,2013-01-30 04:16:41,13002627CF10A,2013-01-29,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-29,Risk of Violence,4,Low,2013-01-29,2013-03-21,2013-04-13,20,1,51,0,0,0 +1255,derek mcnair,derek,mcnair,2013-08-15,Male,1991-03-30,25,25 - 45,African-American,0,8,1,1,3,-1,2013-08-14 07:48:42,2013-08-15 07:42:50,13011422CF10A,2013-08-14,,1,F,Fighting/Baiting Animals,1,14014319CF10A,(F3),,2014-08-19,Aggrav Stalking After Injunctn,,,,1,14014319CF10A,(F3),2014-08-29,Burglary With Assault/battery,Risk of Recidivism,8,High,2013-08-15,Risk of Violence,9,High,2013-08-15,2015-08-24,2015-09-02,3,0,369,1,1,1 +1256,john mcfadden,john,mcfadden,2014-03-19,Male,1968-01-03,48,Greater than 45,African-American,1,10,0,0,25,-1,2014-03-18 03:28:44,2014-03-24 11:54:07,14003785CF10A,,2014-03-18,1,F,arrest case no charge,1,14008632CF10A,(F1),-1,2014-06-21,Sexual Battery Victim 12 Yrs +,2014-06-20,2014-07-04,,1,14008632CF10A,(F2),2014-06-21,Agg Battery Grt/Bod/Harm,Risk of Recidivism,10,High,2014-03-19,Risk of Violence,9,High,2014-03-19,2014-04-06,2014-04-10,25,5,18,0,1,1 +1257,michael davis,michael,davis,2013-01-01,Male,1993-11-08,22,Less than 25,African-American,0,7,0,1,1,28,2013-01-29 05:28:37,2013-01-30 09:38:30,13000021MM10A,2012-12-31,,1,M,Battery,1,13001421CF10A,(F3),0,2013-01-29,Tampering With Physical Evidence,2013-01-29,2013-01-30,,1,15004778MM10A,(M1),2015-04-27,Battery,Risk of Recidivism,7,Medium,2013-01-01,Risk of Violence,9,High,2013-01-01,2013-01-29,2013-01-30,1,0,28,1,1,1 +1258,charles dixon,charles,dixon,2013-04-08,Male,1964-02-14,52,Greater than 45,African-American,1,8,0,0,9,-1,2013-04-07 05:45:06,2013-05-16 03:57:24,13006659MM10A,2013-04-07,,1,M,Battery,1,13008294CF10A,(F1),0,2013-06-11,Robbery / Weapon,2013-06-11,2013-10-29,,1,13008294CF10A,(F3),2013-06-11,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-06-11,2013-10-29,9,38,64,1,1,1 +1259,philip milton,philip,milton,2014-09-09,Male,1990-02-22,26,25 - 45,Caucasian,0,4,0,0,5,-1,2014-09-08 04:18:58,2014-10-13 09:23:06,14012245CF10A,2014-09-08,,1,F,Possession of Cocaine,1,15006502CF10A,(F3),0,2015-05-19,Grand Theft in the 3rd Degree,2015-05-19,2015-06-02,,1,15010738CF10A,(F2),2015-08-19,Robbery / No Weapon,Risk of Recidivism,4,Low,2014-09-09,Risk of Violence,3,Low,2014-09-09,2015-01-07,2015-01-23,5,34,120,0,1,1 +1261,carl lovett,carl,lovett,2013-04-17,Male,1982-01-05,34,25 - 45,African-American,0,2,0,0,4,-1,2013-04-16 07:26:38,2013-04-17 07:39:37,11019592MM10A,,2013-04-16,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-17,Risk of Violence,2,Low,2013-04-17,2013-04-16,2013-04-17,4,0,1080,0,0,0 +1262,justin mccarthy,justin,mccarthy,2013-04-12,Male,1960-01-25,56,Greater than 45,Caucasian,0,1,0,0,4,-1,2013-04-11 02:03:09,2013-04-11 08:11:12,13006988MM10A,2013-04-10,,2,M,Disorderly Intoxication,1,15021106MU10A,(M1),0,2015-07-18,Driving Under The Influence,2015-07-18,2015-07-18,,0,,,,,Risk of Recidivism,1,Low,2013-04-12,Risk of Violence,1,Low,2013-04-12,2015-07-18,2015-07-18,4,0,827,0,0,0 +1269,christopher bowers,christopher,bowers,2014-01-03,Male,1986-09-27,29,25 - 45,African-American,0,4,0,0,2,-1,2014-01-02 08:25:01,2014-01-03 01:41:59,14000092MM10A,2014-01-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-03,Risk of Violence,5,Medium,2014-01-03,2014-01-02,2014-01-03,2,0,819,0,0,0 +1272,christopher douglas,christopher,douglas,2014-10-20,Male,1978-11-29,37,25 - 45,African-American,0,5,0,0,6,-1,2014-10-19 07:36:23,2014-11-08 12:14:28,14014116CF10A,2014-10-19,,1,F,Felony Petit Theft,1,15000351MM20A,(M2),,2015-01-23,Petit Theft,,,,1,15002624MM10A,(M1),2015-03-04,Battery,Risk of Recidivism,5,Medium,2014-10-20,Risk of Violence,2,Low,2014-10-20,2014-12-07,2014-12-20,6,19,48,0,1,1 +1274,umar farooq,umar,farooq,2013-05-06,Male,1973-03-19,43,25 - 45,Other,0,2,0,0,3,-1,2013-05-05 07:01:38,2013-05-06 07:43:11,13006447CF10A,2013-05-05,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,2,Low,2013-05-06,2013-05-05,2013-05-06,3,0,1061,0,0,0 +1275,gregg diprima,gregg,diprima,2013-12-03,Male,1965-02-26,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-02 04:36:30,2013-12-03 10:21:46,13016672CF10A,2013-12-02,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2013-12-02,2013-12-03,0,0,850,0,0,0 +1282,moise alceus,moise,alceus,2014-03-22,Male,1994-11-18,21,Less than 25,African-American,0,8,0,1,1,-1,2014-03-21 01:15:52,2014-03-23 04:21:27,14003834CF10A,,2014-03-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-22,Risk of Violence,7,Medium,2014-03-22,2014-03-21,2014-03-23,1,1,741,0,0,0 +1290,steven coney,steven,coney,2013-04-06,Male,1989-08-02,26,25 - 45,African-American,0,8,1,0,4,-1,2013-04-05 06:54:28,2013-04-06 07:37:58,13006585MM10A,2013-04-05,,1,M,Battery,1,13025171TC10A,(M2),1,2013-05-26,Unlaw LicTag/Sticker Attach,2013-05-27,2013-05-28,,1,13018515MM10A,(M1),2013-09-29,Battery,Risk of Recidivism,8,High,2013-04-06,Risk of Violence,9,High,2013-04-06,2013-11-23,2013-11-24,4,0,50,1,1,1 +1292,anthony anello,anthony,anello,2013-05-28,Male,1968-01-19,48,Greater than 45,Caucasian,0,2,0,0,1,0,2013-05-28 05:20:53,2013-05-29 01:36:35,13007601CF10A,2013-05-28,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-08-08,2013-09-11,1,1,72,0,0,0 +1295,rhys swan,rhys,swan,2014-03-16,Male,1989-12-08,26,25 - 45,Caucasian,0,4,0,0,0,0,2014-03-16 01:47:02,2014-03-16 01:29:25,14003659CF10A,2014-03-16,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-16,Risk of Violence,3,Low,2014-03-16,2014-03-16,2014-03-16,0,0,747,0,0,0 +1296,darrin hill,darrin,hill,2013-09-06,Male,1969-11-14,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-05 08:34:14,2013-09-06 08:59:40,13012541CF10A,2013-09-05,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-05,2013-09-06,0,0,938,0,0,0 +1297,maria martinez,maria,martinez,2013-02-25,Female,1985-09-04,30,25 - 45,Hispanic,0,2,0,0,1,,,,13002754CF10A,2013-02-22,,3,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,,,1,0,1131,0,0,0 +1298,christopher mejia,christopher,mejia,2013-05-09,Male,1991-07-08,24,Less than 25,African-American,0,9,1,1,7,-1,2013-05-08 07:17:42,2013-05-09 08:54:08,13008923MM10A,2013-05-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-09,Risk of Violence,7,Medium,2013-05-09,2014-04-07,2014-04-17,7,0,333,0,0,0 +1300,stephanie jacobs,stephanie,jacobs,2013-04-30,Female,1995-01-06,21,Less than 25,Caucasian,0,5,0,0,0,-1,2013-04-29 05:05:43,2013-04-30 01:18:50,13008295MM10A,2013-04-29,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-30,Risk of Violence,7,Medium,2013-04-30,2013-04-29,2013-04-30,0,0,1067,0,0,0 +1304,marques brinson,marques,brinson,2014-03-10,Male,1986-03-16,30,25 - 45,African-American,0,7,0,0,1,,,,12010613CF10A,,2012-07-19,599,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-10,Risk of Violence,5,Medium,2014-03-10,,,1,0,753,0,0,0 +1305,johnnie blade,johnnie,blade,2013-02-13,Male,1979-06-01,36,25 - 45,African-American,0,8,0,0,9,0,2013-02-13 12:13:45,2013-02-15 09:20:16,13003127MM10A,2013-02-12,,1,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-13,Risk of Violence,2,Low,2013-02-13,2014-02-11,2014-03-14,9,2,363,0,0,0 +1306,ronel desinor,ronel,desinor,2013-01-30,Male,1985-10-12,30,25 - 45,African-American,0,4,0,0,5,-1,2013-01-29 08:02:14,2013-01-30 09:05:26,13001423CF10A,2013-01-29,,1,F,Deliver Cocaine,1,13009034CF10A,(F6),51,2013-05-05,Murder in the First Degree,2013-06-25,2015-08-27,,1,13009034CF10A,(F6),2013-05-05,Murder in the First Degree,Risk of Recidivism,4,Low,2013-01-30,Risk of Violence,3,Low,2013-01-30,2015-08-27,2020-01-01,5,0,95,1,1,1 +1310,danielle slocum,danielle,slocum,2013-07-02,Female,1993-08-27,22,Less than 25,Caucasian,0,6,0,0,1,-23,2013-06-09 02:13:11,2013-06-11 01:19:51,13008181CF10A,2013-06-09,,23,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-02,Risk of Violence,7,Medium,2013-07-02,2015-01-07,2015-01-08,1,0,554,0,0,0 +1313,raphael ramos,raphael,ramos,2013-02-09,Male,1991-03-24,25,25 - 45,African-American,0,9,0,0,0,-1,2013-02-08 08:15:01,2013-02-18 08:07:07,13002002CF10A,2013-02-08,,1,F,Depriv LEO of Protect/Communic,1,13005513CF10A,(F3),0,2013-04-17,Threat Public Servant,2013-04-17,2013-05-08,,1,13005513CF10A,(F3),2013-04-17,Threat Public Servant,Risk of Recidivism,9,High,2013-02-09,Risk of Violence,8,High,2013-02-09,2013-04-17,2013-05-08,0,9,67,1,1,1 +1315,dennis holmes,dennis,holmes,2013-04-25,Male,1992-02-05,24,Less than 25,African-American,0,4,0,0,0,-1,2013-04-24 04:48:41,2013-04-26 08:16:49,13005880CF10A,2013-04-24,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-25,Risk of Violence,5,Medium,2013-04-25,2014-06-23,2014-07-29,0,1,424,0,0,0 +1318,rasean collier,rasean,collier,2013-09-25,Male,1976-08-20,39,25 - 45,African-American,0,8,0,0,13,-1,2013-09-24 05:14:32,2013-09-26 04:15:46,13013435CF10A,2013-09-24,,1,F,Burglary Conveyance Unoccup,1,15011067CF10A,(F3),,2015-05-03,Felony Battery w/Prior Convict,,,,1,15011067CF10A,(F3),2015-05-03,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2013-09-25,Risk of Violence,6,Medium,2013-09-25,2014-01-30,2014-01-30,13,1,127,0,1,1 +1320,mohammed ahmed,mohammed,ahmed,2013-09-20,Male,1969-11-28,46,Greater than 45,Other,0,1,0,0,0,-1,2013-09-19 09:16:58,2013-09-24 12:07:46,13013223CF10A,2013-09-19,,1,F,Delivery of 5-Fluoro PB-22,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-12-04,2013-12-05,0,4,75,0,0,0 +1323,marquita weal,marquita,weal,2013-03-06,Female,1985-12-02,30,25 - 45,African-American,0,3,0,0,4,-5,2013-03-01 09:18:41,2013-03-02 01:22:32,13003141CF10A,2013-03-01,,5,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-06,Risk of Violence,3,Low,2013-03-06,2013-03-14,2013-03-15,4,0,8,0,0,0 +1324,daniele santos,daniele,santos,2013-04-10,Male,1976-04-16,40,25 - 45,Caucasian,0,2,0,0,0,0,2013-04-10 01:58:49,2013-05-02 08:37:47,13005196CF10A,2013-04-10,,0,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,1,Low,2013-04-10,2013-04-10,2013-05-02,0,22,1087,0,0,0 +1325,deneen brown,deneen,brown,2014-01-17,Female,1964-04-19,52,Greater than 45,African-American,0,1,0,0,0,-1,2014-01-16 01:59:29,2014-01-18 12:04:19,14000711CF10A,2014-01-16,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-17,Risk of Violence,1,Low,2014-01-17,2014-01-16,2014-01-18,0,1,805,0,0,0 +1326,garfield sewell,garfield,sewell,2013-01-31,Male,1992-09-09,23,Less than 25,African-American,1,9,0,1,3,-1,2013-01-30 10:05:42,2013-03-05 01:14:58,13001476CF10A,2013-01-30,,1,F,Grand Theft Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-31,Risk of Violence,10,High,2013-01-31,2015-10-13,2015-12-07,3,33,985,0,0,0 +1328,dyesha coleman,dyesha,coleman,2013-09-09,Female,1989-09-07,26,25 - 45,African-American,0,2,0,0,1,-1,2013-09-08 05:10:12,2013-09-09 08:57:08,13017087MM10A,2013-09-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,2,Low,2013-09-09,2013-09-08,2013-09-09,1,0,935,0,0,0 +1330,thomas herring,thomas,herring,2013-01-27,Male,1973-04-23,42,25 - 45,Caucasian,0,4,0,0,3,0,2013-01-27 05:19:10,2013-01-28 02:50:43,13001324CF10A,2013-01-27,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-27,Risk of Violence,2,Low,2013-01-27,2015-11-23,2015-11-30,3,1,1030,0,0,0 +1334,jeffery holston,jeffery,holston,2014-01-14,Male,1987-06-20,28,25 - 45,African-American,0,3,0,0,1,-1,2014-01-13 07:36:34,2014-01-15 11:05:00,14000564CF10A,,2014-01-13,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-14,Risk of Violence,2,Low,2014-01-14,2014-01-13,2014-01-15,1,1,808,0,0,0 +1335,jacquelyn park,jacquelyn,park,2013-02-26,Female,1979-03-14,37,25 - 45,Caucasian,0,4,0,0,4,,,,12019905MM10A,2012-09-25,,154,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-26,Risk of Violence,2,Low,2013-02-26,,,4,0,1130,0,0,0 +1336,sam mitchell,sam,mitchell,2013-03-16,Male,1965-07-26,50,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-03-15 07:13:52,2013-03-16 09:30:06,13003328CF10A,2010-11-20,,847,F,Crim Use of Personal ID Info,1,15020844TC20A,(M2),,2015-04-01,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-16,Risk of Violence,1,Low,2013-03-16,2013-03-15,2013-03-16,1,0,746,1,0,0 +1342,tony woodberry,tony,woodberry,2014-03-01,Male,1983-12-01,32,25 - 45,African-American,0,7,0,0,1,-1,2014-02-28 05:05:08,2014-03-01 10:44:41,14000591CF10A,,2014-02-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-01,Risk of Violence,2,Low,2014-03-01,2014-02-28,2014-03-01,1,0,762,0,0,0 +1344,daryle mckever,daryle,mckever,2014-01-29,Male,1964-05-11,51,Greater than 45,African-American,0,2,0,0,3,-1,2014-01-28 04:06:13,2014-01-29 09:09:45,14001238CF10A,2014-01-28,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-29,Risk of Violence,1,Low,2014-01-29,2014-01-28,2014-01-29,3,0,793,0,0,0 +1346,xavier copeland,xavier,copeland,2013-10-22,Male,1983-11-13,32,25 - 45,African-American,0,5,0,0,4,0,2013-10-22 04:13:12,2014-02-07 04:46:43,13014764CF10A,,2013-10-22,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-22,Risk of Violence,2,Low,2013-10-22,2013-10-22,2014-02-07,4,108,892,0,0,0 +1348,nikesha young,nikesha,young,2013-08-14,Female,1986-05-04,29,25 - 45,African-American,0,5,0,0,1,7,2013-08-21 12:34:09,2014-02-17 03:11:38,10002822CF10A,,2013-03-21,146,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-14,Risk of Violence,4,Low,2013-08-14,2013-08-21,2014-02-17,1,0,7,0,0,0 +1349,armando frias,armando,frias,2013-09-21,Male,1972-04-30,43,25 - 45,Hispanic,0,1,0,0,0,-1,2013-09-20 10:07:27,2013-09-21 08:40:20,13017971MM10A,2013-09-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-21,Risk of Violence,1,Low,2013-09-21,2013-09-20,2013-09-21,0,0,923,0,0,0 +1351,dionte moore,dionte,moore,2013-01-30,Male,1989-12-28,26,25 - 45,African-American,0,7,0,0,9,-1,2013-01-29 07:56:52,2013-02-09 12:41:02,13001410CF10A,2013-01-29,,1,F,Driving While License Revoked,1,13014307MM10A,(M1),1,2013-07-28,Battery,2013-07-29,2013-09-17,,1,13014307MM10A,(M1),2013-07-28,Battery,Risk of Recidivism,7,Medium,2013-01-30,Risk of Violence,7,Medium,2013-01-30,2013-04-30,2013-05-14,9,10,90,0,1,1 +1354,hector contreras,hector,contreras,2014-03-03,Male,1989-02-11,27,25 - 45,Hispanic,0,1,0,0,1,-1,2014-03-02 07:59:01,2014-03-03 02:03:23,11007679TC40A,2011-02-04,,1123,M,Expired DL More Than 6 Months,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,2,Low,2014-03-03,2014-03-02,2014-03-03,1,0,760,0,0,0 +1356,gina paez,gina,paez,2013-05-13,Female,1958-07-28,57,Greater than 45,Hispanic,0,2,0,0,1,-1,2013-05-12 10:44:04,2013-05-13 01:07:10,13009141MM10A,2013-05-05,,8,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-13,1,0,1054,0,0,0 +1360,michelet orisme,michelet,orisme,2013-11-19,Male,1983-07-20,32,25 - 45,African-American,0,1,0,0,3,-1,2013-11-18 10:28:15,2013-11-21 05:15:36,13016023CF10A,2013-11-18,,1,F,Burglary Unoccupied Dwelling,1,14044073TC20A,(M2),,2014-06-10,Unlaw LicTag/Sticker Attach,,,,1,15004977CF10A,(F3),2015-03-29,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2013-11-19,Risk of Violence,2,Low,2013-11-19,2013-11-18,2013-11-21,3,2,203,1,1,1 +1366,nora demmert,nora,demmert,2013-11-19,Female,1973-10-30,42,25 - 45,Caucasian,0,1,0,0,0,0,2013-11-19 03:21:39,2013-11-19 08:57:44,13021759MM10A,2013-11-19,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-19,Risk of Violence,1,Low,2013-11-19,2013-11-19,2013-11-19,0,0,864,0,0,0 +1368,anthony grab,anthony,grab,2013-07-03,Male,1989-07-31,26,25 - 45,Caucasian,0,4,0,0,4,-52,2013-05-12 05:57:19,2013-05-31 06:08:17,13009157MM10A,2013-05-12,,52,M,Battery,1,15010874CF10A,(M1),0,2015-08-23,Refuse Submit Blood/Breath Test,2015-08-23,2015-08-25,,1,15010874CF10A,(F2),2015-08-23,Agg Fleeing/Eluding High Speed,Risk of Recidivism,4,Low,2013-07-03,Risk of Violence,4,Low,2013-07-03,2015-08-23,2015-08-25,4,0,781,1,0,0 +1369,amanda johnson,amanda,johnson,2014-01-30,Female,1987-12-09,28,25 - 45,Caucasian,0,4,0,1,3,-1,2014-01-29 03:14:43,2014-03-15 05:32:38,14001614MM10A,2014-01-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-30,Risk of Violence,3,Low,2014-01-30,2014-01-29,2014-03-15,3,44,792,0,0,0 +1370,theresa brooks,theresa,brooks,2013-12-09,Female,1963-01-13,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-08 05:37:02,2013-12-09 02:01:16,13022709MM10A,2013-12-08,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,2013-12-08,2013-12-09,0,0,844,0,0,0 +1372,diego fernandez,diego,fernandez,2013-04-13,Male,1992-01-19,24,Less than 25,Caucasian,0,2,0,0,0,-1,2013-04-12 04:15:18,2013-04-13 04:49:36,13005316CF10A,2013-04-12,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-13,Risk of Violence,3,Low,2013-04-13,2013-04-12,2013-04-13,0,0,1084,0,0,0 +1375,roberto hernandez-castro,roberto,hernandez-castro,2013-02-05,Male,1987-05-07,28,25 - 45,Hispanic,0,2,0,0,1,-9,2013-01-27 07:59:24,2013-02-05 01:27:22,13001342CF10A,2013-01-27,,9,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-05,Risk of Violence,2,Low,2013-02-05,2013-01-27,2013-02-05,1,0,1151,0,0,0 +1376,william arenas,william,arenas,2013-12-07,Male,1987-09-26,28,25 - 45,Hispanic,0,5,0,0,1,-1,2013-12-06 10:35:46,2013-12-08 02:23:57,13016897CF10A,2013-12-06,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-07,Risk of Violence,4,Low,2013-12-07,2014-01-30,2014-01-31,1,1,54,0,0,0 +1382,leon hatcher,leon,hatcher,2013-12-06,Male,1991-03-08,25,25 - 45,African-American,0,2,0,0,0,0,2013-12-06 03:45:12,2013-12-07 09:02:36,13022645MM10A,2013-12-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-06,Risk of Violence,4,Low,2013-12-06,2013-12-06,2013-12-07,0,1,847,0,0,0 +1384,willis weber,willis,weber,2013-08-22,Male,1963-10-04,52,Greater than 45,Caucasian,0,5,0,0,1,-5,2013-08-17 11:01:00,2013-08-21 09:42:10,99013179CF10A,,2000-10-13,4696,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-22,Risk of Violence,3,Low,2013-08-22,2013-08-17,2013-08-21,1,0,953,0,0,0 +1385,christopher harris,christopher,harris,2013-11-20,Male,1988-03-22,28,25 - 45,African-American,0,2,0,0,4,-1,2013-11-19 09:37:06,2013-11-20 08:36:56,13021767MM10A,2013-11-19,,1,M,Battery,1,13017293CF10A,(M1),4,2013-12-10,Burglary Dwelling Assault/Batt,2013-12-14,2014-06-23,,1,13017293CF10A,(M1),2013-12-10,Burglary Dwelling Assault/Batt,Risk of Recidivism,2,Low,2013-11-20,Risk of Violence,3,Low,2013-11-20,2013-12-14,2014-06-23,4,0,20,1,1,1 +1395,breon clark,breon,clark,2014-08-04,Male,1994-04-21,21,Less than 25,African-American,0,9,0,0,2,-1,2014-08-03 02:26:32,2014-08-04 01:34:32,14010574CF10A,2014-08-03,,1,F,Possession of Cocaine,1,14012837CF10A,(F3),0,2014-09-22,Tamper With Victim,2014-09-22,2014-10-11,,1,14012837CF10A,(F3),2014-09-22,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2014-08-04,Risk of Violence,6,Medium,2014-08-04,2014-09-22,2014-10-11,2,0,49,1,1,1 +1396,jerry byrd,jerry,byrd,2014-02-11,Male,1983-11-11,32,25 - 45,African-American,0,10,0,0,19,-1,2014-02-10 06:04:29,2014-02-25 05:50:02,14001892CF10A,2014-02-10,,1,F,Possession of Cocaine,1,14009086CF10A,(F3),,2014-07-01,Poss Pyrrolidinovalerophenone,,,,1,14013915CF10A,(F3),2014-10-15,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-02-11,Risk of Violence,10,High,2014-02-11,2014-02-10,2014-02-25,19,14,140,1,1,1 +1397,marion scriven,marion,scriven,2013-03-12,Male,1952-06-08,63,Greater than 45,African-American,0,9,0,0,3,-1,2013-03-11 01:34:23,2013-10-17 05:14:49,06023809MM10A,2006-11-22,,2302,M,Trespass Structure/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-11,2013-10-17,3,219,1116,0,0,0 +1399,james dean,james,dean,2013-01-22,Male,1986-11-21,29,25 - 45,Caucasian,0,3,0,0,2,0,2013-01-22 12:12:24,2013-01-24 11:34:19,13000988CF10A,2013-01-21,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,3,Low,2013-01-22,2013-01-22,2013-01-24,2,2,1165,0,0,0 +1402,darril wilson,darril,wilson,2013-09-21,Male,1969-10-06,46,Greater than 45,African-American,0,1,0,0,0,0,2013-09-21 04:23:43,2013-09-22 07:45:05,13018026MM10A,2013-09-21,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-21,Risk of Violence,1,Low,2013-09-21,2013-09-21,2013-09-22,0,1,923,0,0,0 +1403,patrick foy,patrick,foy,2013-10-11,Male,1993-02-10,23,Less than 25,African-American,0,10,0,0,5,-45,2013-08-27 09:03:34,2013-10-11 05:43:45,13011599CF10A,,2013-08-27,45,F,arrest case no charge,1,13017258CF10A,(M1),0,2013-12-13,Resist/Obstruct W/O Violence,2013-12-13,2014-01-15,,1,13017258CF10A,(M1),2013-12-13,Battery,Risk of Recidivism,10,High,2013-10-11,Risk of Violence,8,High,2013-10-11,2013-12-13,2014-01-15,5,0,63,1,1,1 +1410,derrick dismuke,derrick,dismuke,2013-11-04,Male,1988-06-04,27,25 - 45,African-American,0,2,0,0,1,-3,2013-11-01 07:50:16,2013-11-04 10:41:00,12002308CF10A,,2013-11-01,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-04,Risk of Violence,3,Low,2013-11-04,2015-06-17,2015-06-24,1,0,590,0,0,0 +1411,leonor ramirez,leonor,ramirez,2014-02-17,Female,1946-05-22,69,Greater than 45,Hispanic,0,1,0,0,0,0,2014-02-17 12:41:46,2014-02-17 10:01:43,14006018MU10A,2014-02-16,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-17,Risk of Violence,1,Low,2014-02-17,2014-02-17,2014-02-17,0,0,774,0,0,0 +1412,jorge castaneda,jorge,castaneda,2014-03-31,Male,1969-03-26,47,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-30 07:29:05,2014-03-31 08:24:40,14005457MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-30,2014-03-31,0,0,732,0,0,0 +1418,elvis duran,elvis,duran,2013-05-15,Male,1970-05-18,45,Greater than 45,Hispanic,0,3,0,0,1,-1,2013-05-14 03:08:49,2013-09-19 05:01:54,13006893CF10A,2013-05-14,,1,F,Sex Offender Fail Comply W/Law,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-15,Risk of Violence,3,Low,2013-05-15,2013-05-14,2013-09-19,1,127,1052,0,0,0 +1419,consuelo mella,consuelo,mella,2014-01-24,Female,1982-12-22,33,25 - 45,Caucasian,0,1,0,0,1,0,2014-01-24 02:49:16,2014-01-24 09:38:22,14001387MM10A,2014-01-24,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-24,2014-01-24,1,0,798,0,0,0 +1427,clinton mccutcheon,clinton,mccutcheon,2013-05-10,Male,1983-05-09,32,25 - 45,African-American,0,9,0,0,14,-1,2013-05-09 03:22:53,2013-05-11 05:44:32,13006678CF10A,2013-05-09,,1,F,Grand Theft (Motor Vehicle),1,14012056MM10A,(M1),0,2014-08-09,Possess Cannabis/20 Grams Or Less,2014-08-09,2014-08-10,,1,15015672CF10A,(F2),2015-12-07,Throw Deadly Missile Into Veh,Risk of Recidivism,9,High,2013-05-10,Risk of Violence,6,Medium,2013-05-10,2014-06-27,2014-07-01,14,1,413,0,1,1 +1428,joshua frazier,joshua,frazier,2013-05-21,Male,1991-04-21,24,Less than 25,African-American,0,7,0,0,2,-1,2013-05-20 04:06:09,2013-05-21 07:18:03,13007199CF10A,2013-05-20,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-21,Risk of Violence,5,Medium,2013-05-21,2014-04-03,2014-04-04,2,0,317,0,0,0 +1430,carlos mejia,carlos,mejia,2013-10-07,Male,1969-01-25,47,Greater than 45,Hispanic,0,4,0,0,0,-4,2013-10-03 01:34:28,2013-10-04 09:18:53,13018838MM10A,2013-10-03,,4,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-10-03,2013-10-04,0,0,907,0,0,0 +1431,thomas purvis,thomas,purvis,2014-03-05,Male,1990-11-04,25,25 - 45,Caucasian,0,5,0,0,1,-1,2014-03-04 08:15:39,2014-03-05 08:39:30,14003063CF10A,2014-03-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-05,Risk of Violence,3,Low,2014-03-05,2014-11-17,2014-11-24,1,0,257,0,0,0 +1433,destin ross,destin,ross,2013-11-23,Male,1995-02-28,21,Less than 25,African-American,0,8,0,0,1,-1,2013-11-22 12:16:41,2014-03-11 01:05:27,13016233CF10A,2013-11-22,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-23,Risk of Violence,7,Medium,2013-11-23,2013-11-22,2014-03-11,1,108,860,0,0,0 +1436,kashema dawkins,kashema,dawkins,2014-07-23,Male,1993-10-06,22,Less than 25,African-American,1,7,1,0,6,-1,2014-07-22 03:12:05,2014-07-24 06:06:22,14010014CF10A,,2014-07-22,1,F,arrest case no charge,1,14015889MM10A,(M1),0,2014-11-03,Battery,2014-11-03,2014-11-04,,1,14015889MM10A,(M1),2014-11-03,Battery,Risk of Recidivism,7,Medium,2014-07-23,Risk of Violence,5,Medium,2014-07-23,2014-11-03,2014-11-04,6,1,103,1,1,1 +1438,jennifer brown,jennifer,brown,2013-01-17,Female,1989-05-04,26,25 - 45,Caucasian,0,6,0,0,0,-1,2013-01-16 04:30:06,2013-01-17 03:36:21,13000765CF10A,2013-01-16,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2013-01-16,2013-01-17,0,0,1170,0,0,0 +1439,adrian mendieta,adrian,mendieta,2014-03-11,Male,1995-08-24,20,Less than 25,Caucasian,0,4,0,0,0,-1,2014-03-10 03:13:49,2014-03-11 10:33:16,14003382CF10A,2014-03-10,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-11,Risk of Violence,6,Medium,2014-03-11,2014-03-10,2014-03-11,0,0,752,0,0,0 +1445,ernest ford,ernest,ford,2013-01-03,Male,1982-05-26,33,25 - 45,African-American,0,7,0,0,7,0,2013-01-03 12:47:06,2013-03-23 05:13:54,13000079CF10A,2013-01-02,,1,F,Possession of Cocaine,1,13012253CF10A,(F2),,2013-07-16,Strong Armed Robbery,,,,1,13012253CF10A,(F2),2013-07-16,Strong Armed Robbery,Risk of Recidivism,7,Medium,2013-01-03,Risk of Violence,9,High,2013-01-03,2013-01-03,2013-03-23,7,79,194,1,1,1 +1446,lloren andreu,lloren,andreu,2014-02-04,Male,1980-09-16,35,25 - 45,Caucasian,0,1,0,0,2,-1,2014-02-03 10:17:08,2014-02-04 07:35:43,14001499CF10A,2014-02-03,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,2,Low,2014-02-04,2014-02-03,2014-02-04,2,0,787,0,0,0 +1447,mark marchant,mark,marchant,2013-11-26,Male,1975-03-29,41,25 - 45,Caucasian,0,1,0,0,5,-1,2013-11-25 07:40:00,2013-11-26 10:02:41,13016427CF10A,2013-11-25,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2013-11-25,2013-11-26,5,0,857,0,0,0 +1448,christian ayers,christian,ayers,2013-01-16,Male,1992-09-04,23,Less than 25,Caucasian,0,3,0,0,0,0,2013-01-16 03:21:38,2013-01-18 06:02:43,13001147MM10A,2013-01-16,,0,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-16,Risk of Violence,5,Medium,2013-01-16,2013-01-16,2013-01-18,0,2,1171,0,0,0 +1455,ally chattman,ally,chattman,2013-02-23,Male,1961-09-18,54,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-22 10:36:11,2013-02-24 02:27:44,13002755CF10A,2013-02-22,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-24,0,1,1133,0,0,0 +1458,timothy campos,timothy,campos,2013-10-10,Male,1993-07-11,22,Less than 25,Caucasian,0,3,0,0,0,-4,2013-10-06 03:03:50,2013-10-07 08:17:57,13018996MM10A,2013-10-05,,5,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-10,Risk of Violence,5,Medium,2013-10-10,2014-01-15,2014-01-16,0,0,97,0,0,0 +1462,carlos gabriele,carlos,gabriele,2013-12-17,Male,1986-02-27,30,25 - 45,Hispanic,0,1,0,0,1,-9,2013-12-08 10:10:54,2013-12-16 08:47:38,13022712MM10A,2013-12-08,,9,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-17,Risk of Violence,2,Low,2013-12-17,2013-12-08,2013-12-16,1,0,836,0,0,0 +1464,erika machado,erika,machado,2013-12-20,Female,1992-03-30,24,Less than 25,Hispanic,0,6,0,0,2,48,2014-02-06 03:33:18,2014-02-07 02:49:24,13008860CF10A,2013-06-24,,179,F,Possession of Cocaine,1,14002114MM10A,(M1),0,2014-02-06,Trespass Other Struct/Convey,2014-02-06,2014-02-07,,1,15006900MM10A,(M1),2015-06-27,Battery,Risk of Recidivism,6,Medium,2013-12-20,Risk of Violence,3,Low,2013-12-20,2014-02-06,2014-02-07,2,0,48,1,1,1 +1470,steve kolbjornsen,steve,kolbjornsen,2013-03-17,Male,1961-12-12,54,Greater than 45,African-American,0,5,0,0,4,-1,2013-03-16 11:33:04,2013-06-03 08:21:57,13005186MM10A,2013-03-16,,1,M,Battery,1,13010754MM10A,(M1),0,2013-06-04,Petit Theft $100- $300,2013-06-04,2013-12-12,,1,13010754MM10A,(M1),2013-06-04,Battery,Risk of Recidivism,5,Medium,2013-03-17,Risk of Violence,4,Low,2013-03-17,2013-06-04,2013-12-12,4,78,79,1,1,1 +1471,parker frederick,parker,frederick,2013-08-29,Male,1993-10-22,22,Less than 25,Caucasian,0,5,0,0,2,-1,2013-08-28 11:26:11,2013-09-11 08:03:33,13016503MM10A,2013-08-28,,1,M,Battery,1,14002633CF10A,(F3),0,2014-02-24,"Poss3,4 Methylenedioxymethcath",2014-02-24,2014-04-02,,1,15010952CF10A,(F3),2015-08-22,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2013-08-29,Risk of Violence,6,Medium,2013-08-29,2014-02-24,2014-04-02,2,13,179,1,1,1 +1472,raymond carlson,raymond,carlson,2013-12-11,Male,1978-01-25,38,25 - 45,Caucasian,0,1,0,0,2,-64,2013-10-08 03:58:44,2013-10-12 10:37:11,13014123CF10A,2013-10-08,,64,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2014-03-05,2014-04-17,2,0,84,0,0,0 +1473,benjamin robinson,benjamin,robinson,2013-02-02,Male,1989-07-04,26,25 - 45,African-American,0,4,0,0,0,-1,2013-02-01 06:04:12,2013-02-02 05:16:40,13002360MM10A,2013-02-01,,1,M,Battery,1,13002713MM10A,(M1),0,2013-02-06,Resist/Obstruct W/O Violence,2013-02-06,2013-02-07,,1,15010096CF10A,(F2),2015-05-20,Agg Battery Grt/Bod/Harm,Risk of Recidivism,4,Low,2013-02-02,Risk of Violence,3,Low,2013-02-02,2013-02-06,2013-02-07,0,0,4,1,1,1 +1474,sasha coar,sasha,coar,2014-02-11,Female,1995-07-29,20,Less than 25,African-American,0,4,0,0,0,-1,2014-02-10 07:08:16,2014-02-11 11:50:51,14001883CF10A,2014-02-10,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-11,Risk of Violence,6,Medium,2014-02-11,2014-02-10,2014-02-11,0,0,780,0,0,0 +1475,hugo orbera,hugo,orbera,2013-04-10,Male,1960-04-18,56,Greater than 45,Hispanic,0,1,0,0,0,,,,,,,,M,,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-10,Risk of Violence,1,Low,2013-04-10,2013-04-02,2013-04-10,0,0,1087,0,0,0 +1481,aaron rolle,aaron,rolle,2013-04-12,Male,1986-09-06,29,25 - 45,African-American,0,1,0,0,0,-1,2013-04-11 02:03:54,2013-04-13 04:17:04,13005240CF10A,2013-04-11,,1,F,Sale/Del Counterfeit Cont Subs,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,2013-11-07,2013-11-10,0,1,209,0,0,0 +1482,kewuana jones,kewuana,jones,2013-12-16,Female,1992-04-25,23,Less than 25,African-American,0,7,0,0,6,-18,2013-11-28 11:32:18,2013-12-16 06:10:23,13022280MM10A,2013-11-28,,18,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-16,Risk of Violence,5,Medium,2013-12-16,2013-11-28,2013-12-16,6,0,837,0,0,0 +1483,harvell watson,harvell,watson,2014-01-22,Male,1980-08-21,35,25 - 45,African-American,0,1,0,0,1,-1,2014-01-21 05:56:47,2014-01-30 10:03:30,13009266MM10A,,2014-01-21,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2014-01-21,2014-01-30,1,8,800,0,0,0 +1485,mitchell knight,mitchell,knight,2013-11-20,Male,1995-03-23,21,Less than 25,African-American,0,7,0,0,1,-18,2013-11-02 01:59:31,2013-11-03 01:26:39,13020677MM10A,2013-11-02,,18,M,Battery,1,14000114MM30A,(M1),596,2013-12-20,Possess Cannabis/20 Grams Or Less,2015-08-08,2015-08-08,,1,15012709MM10A,(M1),2015-11-11,Battery,Risk of Recidivism,7,Medium,2013-11-20,Risk of Violence,6,Medium,2013-11-20,2015-08-08,2015-08-08,1,0,30,1,1,1 +1486,luis taveras,luis,taveras,2013-10-08,Male,1990-09-12,25,25 - 45,Hispanic,0,3,0,0,0,-1,2013-10-07 07:18:19,2013-10-08 03:39:39,13014061CF10A,2013-10-07,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-08,Risk of Violence,6,Medium,2013-10-08,2013-10-07,2013-10-08,0,0,906,0,0,0 +1491,joan thomas,joan,thomas,2014-01-12,Female,1985-12-16,30,25 - 45,African-American,0,4,0,0,3,-1,2014-01-11 07:06:04,2014-02-06 09:34:49,14000468CF10A,2014-01-11,,1,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-12,Risk of Violence,4,Low,2014-01-12,2014-01-11,2014-02-06,3,25,810,0,0,0 +1496,demetris russaw,demetris,russaw,2013-04-25,Male,1992-05-24,23,Less than 25,African-American,0,7,0,0,2,-1,2013-04-24 03:10:43,2013-04-30 07:30:08,12009173CF10A,,2013-04-24,1,F,arrest case no charge,1,14002871MM20A,(M2),,2014-10-07,Operating W/O Valid License,,,,1,16002777CF10A,(F1),2016-03-04,Burglary With Assault/battery,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,6,Medium,2013-04-25,2013-04-24,2013-04-30,2,5,530,1,1,1 +1497,jesse bernstein,jesse,bernstein,2013-07-29,Male,1983-04-21,32,25 - 45,Caucasian,1,4,0,0,8,-2,2013-07-27 10:35:38,2013-07-29 11:27:25,13010543CF10A,2013-07-27,,2,F,Burglary Dwelling Occupied,1,15013246MM10A,(M1),,2015-12-23,Tresspass in Struct/Convey Occupy,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-29,Risk of Violence,4,Low,2013-07-29,2013-07-27,2013-07-29,8,0,877,1,0,0 +1498,jerry seal,jerry,seal,2013-12-11,Male,1963-09-19,52,Greater than 45,Caucasian,0,1,0,0,1,-111,2013-08-22 10:06:49,2013-08-24 02:22:11,13011800CF10A,2013-08-22,,111,F,Possession Child Pornography,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2016-01-21,2016-01-23,1,0,771,0,0,0 +1501,peter rapone,peter,rapone,2013-08-16,Male,1973-12-10,42,25 - 45,Caucasian,0,1,0,0,0,0,2013-08-16 03:31:01,2013-08-16 09:14:20,13015538MM10A,2013-08-16,,0,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-16,Risk of Violence,1,Low,2013-08-16,2013-08-16,2013-08-16,0,0,959,0,0,0 +1508,chantel thomas,chantel,thomas,2014-01-06,Female,1993-08-06,22,Less than 25,African-American,0,3,0,0,0,-2,2014-01-04 11:57:59,2014-01-05 01:34:22,14000168MM10A,2014-01-04,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-06,Risk of Violence,4,Low,2014-01-06,2014-01-04,2014-01-05,0,0,816,0,0,0 +1509,hugo garcia,hugo,garcia,2013-01-26,Male,1970-10-12,45,Greater than 45,Hispanic,0,1,0,0,2,-1,2013-01-25 07:53:49,2013-03-13 12:29:31,13001254CF10A,2013-01-25,,1,F,Sex Battery Deft 18+/Vict 11-,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-26,Risk of Violence,2,Low,2013-01-26,2013-01-25,2013-03-13,2,46,1161,0,0,0 +1511,duane miller,duane,miller,2013-11-10,Male,1986-09-16,29,25 - 45,African-American,0,2,0,0,0,-1,2013-11-09 08:24:05,2013-11-10 02:36:02,13021182MM10A,2013-11-09,,1,M,Posses/Disply Susp/Revk/Frd DL,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-10,Risk of Violence,3,Low,2013-11-10,2013-11-09,2013-11-10,0,0,873,0,0,0 +1512,thomas evans,thomas,evans,2013-09-09,Male,1961-08-11,54,Greater than 45,African-American,0,2,0,0,2,,,,10011555CF10A,2010-06-24,,1173,M,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,3,Low,2013-09-09,2008-03-06,2008-07-11,2,0,935,0,0,0 +1513,willie carter,willie,carter,2013-01-24,Male,1986-04-14,30,25 - 45,African-American,0,5,0,0,6,-1,2013-01-23 04:50:53,2013-01-26 03:15:43,13001097CF10A,,2013-01-23,1,F,arrest case no charge,1,14011625CF10A,(F2),282,2014-05-25,Aggravated Battery / Pregnant,2015-03-03,2015-04-15,,1,14011625CF10A,(F2),2014-05-25,Aggravated Battery / Pregnant,Risk of Recidivism,5,Medium,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-06-05,2013-07-26,6,2,132,0,1,1 +1515,rufus jackson,rufus,jackson,2013-10-23,Male,1964-11-14,51,Greater than 45,African-American,0,4,0,0,17,0,2013-10-23 02:05:52,2013-10-23 07:52:30,13020090MM10A,2013-10-22,,1,M,DUI Blood Alcohol Above 0.20,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2013-10-23,2013-10-23,17,0,891,0,0,0 +1517,gearrard holmes,gearrard,holmes,2014-08-14,Male,1988-11-21,27,25 - 45,African-American,0,3,0,0,3,88,2014-11-10 10:05:14,2015-09-08 09:20:53,14006822CF10A,2014-05-16,,90,F,Burglary Conveyance Armed,1,14015078CF10A,(M2),3,2014-11-07,Fail To Obey Police Officer,2014-11-10,2015-09-08,,1,14015078CF10A,(F2),2014-11-07,Agg Assault Law Enforc Officer,Risk of Recidivism,3,Low,2014-08-14,Risk of Violence,2,Low,2014-08-14,2014-11-10,2015-09-08,3,0,85,1,1,1 +1520,eric evenson,eric,evenson,2013-10-01,Male,1991-07-09,24,Less than 25,Caucasian,0,6,0,0,2,-27,2013-09-04 06:36:53,2013-09-04 06:53:03,13012482CF10A,2013-09-04,,27,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-01,Risk of Violence,5,Medium,2013-10-01,2013-10-31,2013-11-13,2,0,30,0,0,0 +1522,blake robinson,blake,robinson,2013-02-04,Male,1992-06-07,23,Less than 25,African-American,0,7,0,0,2,-1,2013-02-03 05:45:03,2013-02-08 11:19:06,13002455MM10A,2013-02-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-04,Risk of Violence,6,Medium,2013-02-04,2013-02-03,2013-02-08,2,4,1152,0,0,0 +1523,annmarie young,annmarie,young,2013-04-27,Female,1973-11-20,42,25 - 45,Other,0,3,0,0,2,496,2014-09-05 04:36:17,2014-09-19 06:50:50,13008081MM10A,2013-04-26,,1,M,Crim Attempt/Solicit/Consp,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-27,Risk of Violence,2,Low,2013-04-27,2014-09-05,2014-09-19,2,0,496,0,0,0 +1526,nelson olivio,nelson,olivio,2013-12-12,Male,1979-06-11,36,25 - 45,African-American,0,4,0,0,5,-1,2013-12-11 05:02:29,2013-12-12 01:44:46,13017126CF10A,2013-12-11,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-12,Risk of Violence,2,Low,2013-12-12,2013-12-11,2013-12-12,5,0,841,0,0,0 +1529,richard edward,richard,edward,2014-07-28,Female,1977-10-06,38,25 - 45,African-American,0,7,1,0,8,,,,14011447MM10A,2014-07-27,,1,M,Battery,1,15046846TC20A,(M2),,2015-08-18,Susp Drivers Lic 1st Offense,,,,1,15011417MM10A,(M1),2015-10-29,Battery,Risk of Recidivism,7,Medium,2014-07-28,Risk of Violence,4,Low,2014-07-28,2006-07-11,2008-11-24,8,0,386,1,1,1 +1530,marcelo davila,marcelo,davila,2014-03-31,Male,1947-04-09,69,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-30 06:30:00,2014-03-31 01:49:24,14005471MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-30,2014-03-31,0,0,732,0,0,0 +1532,leonardo collazos,leonardo,collazos,2013-04-27,Male,1956-07-21,59,Greater than 45,Hispanic,0,1,0,0,1,-1,2013-04-26 10:39:22,2013-04-27 01:07:17,92078761TC20A,1992-07-02,,7604,M,License Suspended Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-26,2013-04-27,1,0,1070,0,0,0 +1533,isaac smith,isaac,smith,2014-01-14,Male,1976-05-09,39,25 - 45,African-American,0,6,0,0,1,-9,2014-01-05 09:54:57,2014-01-10 07:58:25,12016467CF10A,,2014-01-05,9,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-05,2014-01-10,1,0,808,0,0,0 +1534,trevor parker,trevor,parker,2013-05-06,Male,1986-04-23,29,25 - 45,African-American,0,6,0,0,2,-1,2013-05-05 10:38:59,2013-06-12 05:40:10,13006444CF10A,2013-05-05,,1,F,Burglary Conveyance Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-06,Risk of Violence,3,Low,2013-05-06,2013-05-05,2013-06-12,2,37,1061,0,0,0 +1536,emmanuel treveus,emmanuel,treveus,2014-02-16,Male,1987-12-23,28,25 - 45,African-American,0,4,0,0,1,,,,08003795CF10A,2008-02-25,,2183,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-16,Risk of Violence,6,Medium,2014-02-16,,,1,0,775,0,0,0 +1538,daniel white,daniel,white,2013-03-22,Male,1971-08-18,44,25 - 45,Caucasian,0,3,0,0,6,0,2013-03-22 12:07:37,2013-03-22 08:51:12,13004116CF10A,2013-03-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,1,Low,2013-03-22,2013-03-22,2013-03-22,6,0,1106,0,0,0 +1540,jovan bailey,jovan,bailey,2013-02-17,Male,1990-11-20,25,25 - 45,African-American,0,5,0,0,2,-1,2013-02-16 04:14:17,2013-04-15 04:35:16,13002415CF10A,2013-02-16,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2015-03-03,2015-04-30,2,57,744,0,0,0 +1541,learby labath,learby,labath,2014-01-20,Male,1984-08-06,31,25 - 45,African-American,0,10,0,0,0,0,2014-01-20 03:43:59,2014-01-20 09:17:53,14000845CF10A,2014-01-20,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-20,Risk of Violence,10,High,2014-01-20,2014-01-20,2014-01-20,0,0,802,0,0,0 +1542,tavares felder,tavares,felder,2013-02-03,Male,1980-06-10,35,25 - 45,African-American,0,7,1,0,17,-1,2013-02-02 01:30:39,2013-02-04 03:00:27,13002391MM10A,2013-02-02,,1,M,Battery,1,13008151CF10A,(F3),1,2013-06-08,Grand Theft in the 3rd Degree,2013-06-09,2014-02-12,,1,13008151CF10A,(F3),2013-06-08,Child Abuse,Risk of Recidivism,7,Medium,2013-02-03,Risk of Violence,2,Low,2013-02-03,2013-03-14,2013-04-16,17,1,39,0,1,1 +1545,evens jeanbaptiste,evens,jeanbaptiste,2013-11-23,Male,1983-02-19,33,25 - 45,African-American,0,5,0,0,1,0,2013-11-23 12:34:52,2013-11-25 10:32:35,13016319CF10A,2013-11-22,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-23,Risk of Violence,4,Low,2013-11-23,2013-11-23,2013-11-25,1,2,860,0,0,0 +1549,dedrick williams,dedrick,williams,2014-04-24,Male,1996-03-23,20,Less than 25,African-American,1,10,0,1,1,-51,2014-03-04 08:08:45,2014-03-06 05:40:10,14003031CF10A,,2014-03-05,50,F,arrest case no charge,1,14011919CF10A,(F3),,2014-05-18,Aggravated Assault w/Firearm,,,,1,14011919CF10A,(F3),2014-05-18,Aggravated Assault w/Firearm,Risk of Recidivism,10,High,2014-04-24,Risk of Violence,10,High,2014-04-24,2014-03-04,2014-03-06,1,0,24,1,1,1 +1550,keith dillman,keith,dillman,2014-03-03,Male,1955-11-01,60,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-03-02 12:41:55,2014-03-03 08:09:50,13014186CF10A,,2014-03-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-02,2014-03-03,1,0,760,0,0,0 +1551,francisco gonzalez,francisco,gonzalez,2014-01-19,Male,1962-06-19,53,Greater than 45,Hispanic,0,1,0,0,0,0,2014-01-19 05:06:52,2014-01-20 12:41:21,14000962MM10A,2014-01-19,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-19,Risk of Violence,1,Low,2014-01-19,2014-01-19,2014-01-20,0,1,803,0,0,0 +1554,roger baladi,roger,baladi,2013-12-11,Male,1990-07-15,25,25 - 45,Hispanic,0,2,0,0,1,-106,2013-08-27 02:38:09,2013-09-28 02:10:00,13011657CF10A,,2013-08-27,106,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-11,Risk of Violence,3,Low,2013-12-11,2013-08-27,2013-09-28,1,0,842,0,0,0 +1556,lias corker,lias,corker,2013-12-13,Male,1989-01-25,27,25 - 45,African-American,2,7,1,0,5,76,2014-02-27 01:40:20,2014-09-18 07:01:56,13009236CF10A,2013-06-28,,168,F,Robbery W/Firearm,1,14002766CF10A,(F3),1,2014-02-26,Robbery Sudd Snatch No Weapon,2014-02-27,2014-09-18,,1,14002766CF10A,(F3),2014-02-26,Robbery Sudd Snatch No Weapon,Risk of Recidivism,7,Medium,2013-12-13,Risk of Violence,8,High,2013-12-13,2015-07-25,2015-09-27,5,0,75,1,1,1 +1557,victoria phillips,victoria,phillips,2013-12-16,Female,1961-05-05,54,Greater than 45,African-American,0,1,0,0,0,-1,2013-12-15 02:13:35,2013-12-16 07:55:36,13017330CF10A,2013-12-15,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0,0 +1558,lucia arne,lucia,arne,2014-01-09,Female,1989-06-09,26,25 - 45,African-American,0,5,0,1,3,-305,2013-03-10 05:04:36,2013-03-11 05:35:50,14004080MM10A,2014-01-02,,7,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-09,Risk of Violence,5,Medium,2014-01-09,2013-03-10,2013-03-11,3,0,813,0,0,0 +1559,heriberto castro,heriberto,castro,2014-03-05,Male,1991-06-27,24,Less than 25,Caucasian,1,4,2,0,3,-1,2014-03-04 11:56:23,2014-03-06 04:15:00,14003704MM10A,2014-03-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-05,Risk of Violence,5,Medium,2014-03-05,2014-03-04,2014-03-06,3,1,758,0,0,0 +1562,juan perez,juan,perez,2013-03-25,Male,1989-05-24,26,25 - 45,Hispanic,0,3,0,0,0,-1,2013-03-24 03:23:32,2013-03-26 11:28:11,13004394CF10A,2013-03-24,,1,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,3,Low,2013-03-25,2013-05-13,2013-06-08,0,1,49,0,0,0 +1563,catherine blackwood,catherine,blackwood,2013-08-01,Female,1941-03-08,75,Greater than 45,African-American,0,1,0,0,5,-1,2013-07-31 04:54:07,2013-08-01 07:43:39,13010258CF10A,,2013-07-31,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-07-31,2013-08-01,5,0,974,0,0,0 +1566,ulysses davis,ulysses,davis,2013-11-19,Male,1959-05-04,56,Greater than 45,African-American,0,3,0,0,8,-106,2013-08-05 07:30:16,2013-10-16 11:44:03,08021349CF10A,,2013-08-05,106,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-19,Risk of Violence,3,Low,2013-11-19,2013-08-05,2013-10-16,8,0,864,0,0,0 +1571,kurt vanasse,kurt,vanasse,2013-03-25,Male,1969-08-16,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-24 09:03:12,2013-03-25 07:14:16,13004271CF10A,2013-03-24,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-24,2013-03-25,0,0,1103,0,0,0 +1572,jahmara rawlins,jahmara,rawlins,2013-01-19,Male,1988-07-18,27,25 - 45,African-American,0,2,0,0,1,0,2013-01-19 03:06:53,2013-01-26 01:55:00,13000898CF10A,,2013-01-19,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-19,Risk of Violence,5,Medium,2013-01-19,2013-01-19,2013-01-26,1,7,1168,0,0,0 +1573,johnie walton,johnie,walton,2014-02-04,Male,1991-06-12,24,Less than 25,African-American,0,6,0,0,1,,,,12021892TC10A,,2012-11-03,458,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-04,Risk of Violence,6,Medium,2014-02-04,,,1,0,787,0,0,0 +1577,reynold cadet,reynold,cadet,2013-04-29,Male,1957-03-27,59,Greater than 45,African-American,0,1,0,0,2,0,2013-04-29 01:05:52,2013-04-29 06:35:40,13008155MM10A,2013-04-28,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-29,2013-04-29,2,0,1068,0,0,0 +1578,masoom ali,masoom,ali,2013-12-20,Male,1976-07-18,39,25 - 45,Caucasian,0,1,0,0,1,-15,2013-12-05 03:06:12,2013-12-20 01:58:00,13016994CF10A,2013-12-05,,15,F,Money Launder 100K or More Dols,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-20,Risk of Violence,1,Low,2013-12-20,2013-12-05,2013-12-20,1,0,833,0,0,0 +1581,gregory ponce,gregory,ponce,2013-04-19,Male,1970-04-09,46,Greater than 45,Caucasian,0,4,0,0,5,-1,2013-04-18 07:24:02,2013-04-30 07:30:20,13007528MM10A,2013-04-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-04-30,5,11,1078,0,0,0 +1584,stevenson charles,stevenson,charles,2013-01-15,Male,1991-03-03,25,25 - 45,Other,0,2,0,0,1,-1,2013-01-14 09:27:00,2013-01-15 01:39:19,13000655CF10A,2013-01-04,,11,F,Fraudulent Use of Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-15,Risk of Violence,3,Low,2013-01-15,2013-01-14,2013-01-15,1,0,1172,0,0,0 +1587,ricardo moreno,ricardo,moreno,2013-04-03,Male,1960-10-20,55,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-04-02 11:56:46,2013-04-04 10:21:45,13004810CF10A,2013-04-02,,1,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2015-10-15,2015-10-20,2,1,925,0,0,0 +1590,mark harden,mark,harden,2014-03-27,Male,1972-07-19,43,25 - 45,African-American,0,1,0,0,0,-1,2014-03-26 05:00:03,2014-03-27 08:19:09,14005244MM10A,2014-03-26,,1,M,Battery,1,15000453MM10A,(M1),,2014-12-08,Battery,,,,1,15000453MM10A,(M1),2014-12-08,Battery,Risk of Recidivism,1,Low,2014-03-27,Risk of Violence,1,Low,2014-03-27,2014-12-30,2015-01-04,0,0,256,1,1,1 +1591,dawn kluenie,dawn,kluenie,2014-02-06,Female,1962-09-11,53,Greater than 45,Caucasian,0,1,0,0,0,0,2014-02-06 05:04:01,2014-02-07 02:27:21,14004832MU10A,2014-02-06,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-02-06,2014-02-07,0,1,785,0,0,0 +1594,bianca adhemar,bianca,adhemar,2013-12-27,Female,1994-07-18,21,Less than 25,African-American,0,5,0,0,0,-1,2013-12-26 06:12:11,2013-12-27 07:35:36,13023836MM10A,2013-12-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-27,Risk of Violence,6,Medium,2013-12-27,2013-12-26,2013-12-27,0,0,826,0,0,0 +1597,phillip hopson,phillip,hopson,2013-04-08,Male,1975-08-23,40,25 - 45,African-American,0,1,0,0,0,-1,2013-04-07 03:56:49,2013-04-09 11:36:38,13005021CF10A,2013-04-07,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2013-04-07,2013-04-09,0,1,1089,0,0,0 +1599,elisa garcia,elisa,garcia,2014-03-08,Female,1979-02-02,37,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-07 06:26:42,2014-03-08 09:43:00,14009244MU10A,2014-03-07,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-08,Risk of Violence,1,Low,2014-03-08,2014-03-07,2014-03-08,0,0,755,0,0,0 +1602,ronald shelton,ronald,shelton,2013-08-10,Male,1983-08-06,32,25 - 45,African-American,0,2,0,0,2,-1,2013-08-09 11:28:35,2013-08-11 03:36:21,13011211CF10A,2013-08-09,,1,M,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-10,Risk of Violence,2,Low,2013-08-10,2013-08-09,2013-08-11,2,1,965,0,0,0 +1605,algin peralta,algin,peralta,2014-03-10,Male,1993-10-10,22,Less than 25,Hispanic,0,3,0,0,0,-1,2014-03-09 10:59:23,2014-03-10 03:29:33,14009275MU10A,2014-03-09,,1,M,Possess Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-10,Risk of Violence,5,Medium,2014-03-10,2015-05-06,2015-05-08,0,0,422,0,0,0 +1606,faris roperto,faris,roperto,2013-09-17,Female,1984-09-19,31,25 - 45,African-American,0,8,0,0,0,-1,2013-09-16 07:41:46,2013-09-18 08:56:28,13013084CF10A,2013-09-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-17,Risk of Violence,5,Medium,2013-09-17,2013-09-16,2013-09-18,0,1,927,0,0,0 +1611,roderick goddard,roderick,goddard,2013-03-30,Male,1968-05-28,47,Greater than 45,African-American,0,3,0,0,4,0,2013-03-30 03:56:44,2013-03-30 07:56:58,13004577CF10A,2013-03-30,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,2,Low,2013-03-30,2013-03-30,2013-03-30,4,0,1098,0,0,0 +1613,melek rodney,melek,rodney,2013-03-04,Male,1980-01-12,36,25 - 45,African-American,0,3,0,0,2,-2,2013-03-02 08:36:51,2013-03-03 08:52:32,13003151CF10A,2013-03-02,,2,F,Crim Use of Personal ID Info,1,16000286MM20A,(M1),,2016-01-20,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2014-07-08,2014-07-14,2,0,491,0,0,0 +1615,crystal lyerla,crystal,lyerla,2013-11-08,Female,1977-06-22,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-07 02:09:05,2013-11-08 09:00:47,13015557CF10A,2013-11-07,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2013-11-07,2013-11-08,0,0,875,0,0,0 +1618,gregory lundy,gregory,lundy,2014-03-13,Male,1980-11-13,35,25 - 45,Other,0,1,0,0,0,-1,2014-03-12 03:20:25,2014-03-14 09:36:01,14003518CF10A,2014-03-12,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-13,Risk of Violence,1,Low,2014-03-13,2014-03-12,2014-03-14,0,1,750,0,0,0 +1620,alan suarezmesa,alan,suarezmesa,2013-12-16,Male,1963-01-22,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-15 11:06:25,2013-12-16 08:27:56,13017337CF10A,2013-12-15,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0,0 +1622,carlwell wilson,carlwell,wilson,2013-03-10,Male,1962-10-20,53,Greater than 45,African-American,0,3,0,0,2,-1,2013-03-09 09:26:47,2013-03-10 01:02:25,13003508CF10A,2013-03-09,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-10,Risk of Violence,1,Low,2013-03-10,2013-03-09,2013-03-10,2,0,1118,0,0,0 +1623,edward johnson,edward,johnson,2013-10-22,Male,1958-10-07,57,Greater than 45,African-American,0,7,0,0,19,-1,2013-10-21 11:00:46,2014-02-16 03:07:18,13016096CF10A,2013-10-21,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-22,Risk of Violence,4,Low,2013-10-22,2013-10-21,2014-02-16,19,117,892,0,0,0 +1625,deon jackson,deon,jackson,2013-02-19,Male,1994-10-31,21,Less than 25,African-American,0,10,0,0,0,-5,2013-02-14 06:35:26,2013-02-15 07:40:52,13002307CF10A,2013-02-14,,5,F,Grand Theft in the 3rd Degree,1,13015785TC10A,(M2),0,2013-04-11,Operating W/O Valid License,2013-04-11,2013-04-12,,1,14009181MM10A,(M1),2014-06-10,Battery,Risk of Recidivism,10,High,2013-02-19,Risk of Violence,9,High,2013-02-19,2013-04-11,2013-04-12,0,0,51,1,1,1 +1627,yashell eaton,yashell,eaton,2013-01-30,Female,1991-10-10,24,Less than 25,African-American,0,3,0,0,1,279,2013-11-05 01:27:08,2013-11-19 05:29:00,12018695CF10A,2012-12-26,,35,F,Aggravated Assault W/dead Weap,1,15002706MM20A,(M1),,2015-10-15,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-30,Risk of Violence,4,Low,2013-01-30,2013-11-05,2013-11-19,1,0,279,0,0,0 +1629,berton michel,berton,michel,2014-02-09,Male,1988-09-09,27,25 - 45,African-American,0,5,0,0,2,-1,2014-02-08 07:03:51,2014-03-01 05:08:57,14001777CF10A,2014-02-08,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-09,Risk of Violence,4,Low,2014-02-09,2014-02-08,2014-03-01,2,20,782,0,0,0 +1630,elexis garcia,elexis,garcia,2013-05-25,Female,1966-06-14,49,Greater than 45,Caucasian,0,5,0,0,4,0,2013-05-25 12:09:30,2013-05-29 05:21:54,12010393CF10A,,2013-05-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-25,Risk of Violence,1,Low,2013-05-25,2013-05-25,2013-05-29,4,4,1042,0,0,0 +1631,raymond rakoski,raymond,rakoski,2013-10-08,Male,1968-06-09,47,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-10-07 11:30:18,2013-10-08 08:26:31,13014082CF10A,2013-10-07,,1,F,Possession of Cocaine,1,15003313MM10A,(M1),0,2015-03-20,Battery,2015-03-20,2015-07-28,,1,15003313MM10A,(M1),2015-03-20,Battery,Risk of Recidivism,3,Low,2013-10-08,Risk of Violence,1,Low,2013-10-08,2015-03-20,2015-07-28,1,0,528,1,1,1 +1634,moris lucero,moris,lucero,2013-03-30,Male,1971-11-15,44,25 - 45,Caucasian,0,1,0,0,3,0,2013-03-30 04:02:21,2013-03-30 08:06:38,13004561CF10A,2013-03-30,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-30,2013-03-30,3,0,1098,0,0,0 +1637,dakenson placide,dakenson,placide,2013-06-10,Male,1981-12-09,34,25 - 45,African-American,0,1,0,0,1,-17,2013-05-24 11:07:40,2013-05-26 01:55:21,13007416CF10A,2013-05-24,,17,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-10,Risk of Violence,1,Low,2013-06-10,2013-05-24,2013-05-26,1,0,1026,0,0,0 +1639,harold coronado-cruz,harold,coronado-cruz,2013-12-13,Male,1977-08-04,38,25 - 45,Hispanic,0,4,0,0,0,-1,2013-12-12 01:10:17,2013-12-13 03:24:28,13017189CF10A,2013-12-12,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-13,Risk of Violence,5,Medium,2013-12-13,2013-12-12,2013-12-13,0,0,840,0,0,0 +1640,michael phelan,michael,phelan,2013-01-03,Male,1965-05-08,50,Greater than 45,Caucasian,0,1,0,0,2,0,2013-01-03 02:20:43,2013-01-03 10:00:03,13000195MM10A,2013-01-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-03,2013-01-03,2,0,1184,0,0,0 +1642,preston roman,preston,roman,2014-03-18,Male,1986-10-09,29,25 - 45,Caucasian,0,6,0,0,1,0,2014-03-18 03:06:23,2014-03-18 08:25:34,14004701MM10A,2014-03-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-18,Risk of Violence,4,Low,2014-03-18,2014-03-18,2014-03-18,1,0,745,0,0,0 +1643,lance hayes,lance,hayes,2013-04-27,Male,1989-12-12,26,25 - 45,Caucasian,0,4,0,0,0,0,2013-04-27 02:42:38,2013-04-27 07:36:35,13006071CF10A,2013-04-27,,0,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,4,Low,2013-04-27,2013-04-27,2013-04-27,0,0,1070,0,0,0 +1644,randy garciagarcia,randy,garciagarcia,2013-11-29,Male,1971-06-08,44,25 - 45,Hispanic,0,1,0,0,2,,,,10008298MM10A,,2011-07-13,870,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-29,Risk of Violence,1,Low,2013-11-29,,,2,0,854,0,0,0 +1646,maximo castro,maximo,castro,2013-04-05,Male,1968-09-12,47,Greater than 45,Hispanic,0,1,0,0,0,0,2013-04-05 02:12:18,2013-04-06 05:06:49,13006562MM10A,2013-04-05,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-05,2013-04-06,0,1,1092,0,0,0 +1648,lonny paul,lonny,paul,2013-11-16,Male,1966-12-21,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-16 02:12:56,2013-11-16 08:03:22,13015923CF10A,2013-11-16,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-16,Risk of Violence,1,Low,2013-11-16,2013-11-16,2013-11-16,0,0,867,0,0,0 +1651,bernard crenshaw,bernard,crenshaw,2013-03-13,Male,1967-02-23,49,Greater than 45,African-American,0,3,0,0,1,0,2013-03-13 01:26:25,2013-04-01 09:47:06,13003696CF10A,2013-03-13,,0,F,Resist Officer w/Violence,1,13007610CF10A,(M2),0,2013-05-28,Trespass Structure/Conveyance,2013-05-28,2013-08-02,,1,13007610CF10A,(F3),2013-05-28,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,2013-05-28,2013-08-02,1,19,76,1,1,1 +1652,robert reeves,robert,reeves,2013-03-21,Male,1957-01-13,59,Greater than 45,Caucasian,0,1,0,0,2,0,2013-03-21 12:43:41,2013-04-03 07:34:10,13003954CF10A,,2013-03-21,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-03-21,2013-04-03,2,13,1107,0,0,0 +1653,christian hughes,christian,hughes,2013-11-22,Male,1983-12-30,32,25 - 45,Caucasian,0,5,0,0,6,-29,2013-10-24 12:41:00,2013-11-21 09:37:40,13020104MM10A,2013-10-23,,30,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-22,Risk of Violence,4,Low,2013-11-22,2013-10-24,2013-11-21,6,0,861,0,0,0 +1655,courtland rich,courtland,rich,2013-01-22,Male,1992-04-04,24,Less than 25,African-American,0,2,0,2,1,0,2013-01-22 12:22:03,2013-01-22 01:49:40,13003080TC10A,2013-01-21,,1,M,Susp Drivers Lic 1st Offense,1,14002053CF10A,(F2),0,2014-02-13,Aggravated Battery / Pregnant,2014-02-13,2014-02-14,,1,14002053CF10A,(F2),2014-02-13,Aggravated Battery / Pregnant,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,4,Low,2013-01-22,2014-02-13,2014-02-14,1,0,387,1,1,1 +1656,alberto lorenzo-luaces,alberto,lorenzo-luaces,2014-01-06,Male,1975-08-24,40,25 - 45,Hispanic,0,2,0,0,0,-2,2014-01-04 01:41:51,2014-01-05 08:41:28,14000372MU10A,2014-01-03,,3,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-04,2014-01-05,0,0,816,0,0,0 +1657,timothy davis,timothy,davis,2013-02-02,Male,1983-10-19,32,25 - 45,African-American,0,1,0,0,0,0,2013-02-02 12:08:15,2013-02-02 05:41:52,13001647CF10A,2013-02-01,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-02,Risk of Violence,2,Low,2013-02-02,2013-02-02,2013-02-02,0,0,1154,0,0,0 +1658,roxana ebanks,roxana,ebanks,2013-05-20,Female,1961-06-28,54,Greater than 45,Hispanic,0,1,0,0,0,0,2013-05-20 03:07:28,2013-05-20 07:36:27,13009723MM10A,2013-05-20,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-20,Risk of Violence,1,Low,2013-05-20,2013-05-20,2013-05-20,0,0,1047,0,0,0 +1660,tommy turner,tommy,turner,2013-02-06,Male,1988-09-13,27,25 - 45,African-American,0,10,0,1,9,-1,2013-02-05 11:27:02,2015-04-16 06:28:26,12016850CF10A,,2013-02-06,0,F,arrest case no charge,1,13003421CF10A,(F3),,2013-03-06,Fraudulent Use Credit Card,,,,1,13003421CF10A,(F1),2013-03-06,Robbery W/Deadly Weapon,Risk of Recidivism,10,High,2013-02-06,Risk of Violence,5,Medium,2013-02-06,2013-02-05,2015-04-16,9,0,28,1,1,1 +1663,magda ramos,magda,ramos,2013-02-12,Female,1975-10-09,40,25 - 45,Hispanic,0,1,0,0,1,,,,12023207MM10A,2012-11-11,,93,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-12,Risk of Violence,1,Low,2013-02-12,,,1,0,1144,0,0,0 +1664,jose diz,jose,diz,2013-02-07,Male,1991-01-28,25,25 - 45,Caucasian,0,8,0,0,2,0,2013-02-07 03:40:18,2013-02-19 08:46:34,13005872TC10A,2013-02-07,,0,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-07,Risk of Violence,4,Low,2013-02-07,2014-07-17,2014-07-24,2,12,525,0,0,0 +1665,ephrain caneus,ephrain,caneus,2013-03-27,Male,1982-03-07,34,25 - 45,African-American,0,6,0,0,1,,,,08003375MM20A,2008-10-14,,1625,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,7,Medium,2013-03-27,,,1,0,1101,0,0,0 +1668,michael mason,michael,mason,2013-03-26,Male,1979-04-08,37,25 - 45,African-American,2,9,0,0,18,-1,2013-03-25 05:57:23,2013-03-26 07:50:11,13007842MM10A,2013-02-27,,27,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-26,Risk of Violence,9,High,2013-03-26,2013-05-16,2013-05-17,18,0,51,0,0,0 +1670,kevin eason,kevin,eason,2013-04-05,Male,1992-09-25,23,Less than 25,African-American,0,6,0,0,1,0,2013-04-05 06:11:22,2013-04-06 05:17:31,13004912CF10A,2013-04-05,,0,F,Unauth Poss ID Card or DL,1,14001386CF10A,(M1),1,2014-01-30,Battery,2014-01-31,2014-03-30,,1,14001386CF10A,(F1),2014-01-30,Aggrav Child Abuse-Causes Harm,Risk of Recidivism,6,Medium,2013-04-05,Risk of Violence,6,Medium,2013-04-05,2014-01-08,2014-01-09,1,1,278,0,1,1 +1672,tequisha bradley,tequisha,bradley,2014-03-23,Female,1996-02-27,20,Less than 25,African-American,0,8,0,0,0,0,2014-03-23 12:24:11,2014-03-23 09:07:20,14004082CF10A,2014-03-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-23,Risk of Violence,7,Medium,2014-03-23,2014-03-23,2014-03-23,0,0,740,0,0,0 +1673,wesley bates,wesley,bates,2013-11-21,Male,1986-08-27,29,25 - 45,Caucasian,0,7,0,0,7,-67,2013-09-15 11:28:16,2013-10-31 02:34:47,13017571MM10A,2013-09-15,,67,M,Criminal Mischief Damage <$200,1,14001373MM40A,(M2),,2014-02-28,Petit Theft,,,,1,14011195MM10A,(M1),2014-06-13,Assault On Law Enforc Officer,Risk of Recidivism,7,Medium,2013-11-21,Risk of Violence,6,Medium,2013-11-21,2016-03-17,2016-04-08,7,0,99,1,1,1 +1674,casey jones,casey,jones,2013-09-30,Male,1991-10-02,24,Less than 25,African-American,0,2,0,0,1,-59,2013-08-02 03:49:19,2013-09-29 12:20:02,13010915CF10A,2013-08-01,,60,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-30,Risk of Violence,3,Low,2013-09-30,2013-08-02,2013-09-29,1,0,914,0,0,0 +1676,alicia weston,alicia,weston,2014-01-07,Female,1961-12-31,54,Greater than 45,Caucasian,0,3,0,0,1,-48,2013-11-20 08:51:44,2013-12-17 04:04:13,13016119CF10A,2013-11-19,,49,M,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-07,Risk of Violence,2,Low,2014-01-07,2013-11-20,2013-12-17,1,0,815,0,0,0 +1678,fulton pryer,fulton,pryer,2013-02-26,Male,1949-12-21,66,Greater than 45,African-American,0,1,0,0,3,-36,2013-01-21 01:43:02,2013-01-21 08:18:41,13000930CF10A,2013-01-20,,37,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-26,Risk of Violence,1,Low,2013-02-26,2013-06-07,2013-06-08,3,0,101,0,0,0 +1680,alan cross,alan,cross,2013-03-29,Male,1966-02-13,50,Greater than 45,Caucasian,0,2,0,0,8,-14,2013-03-15 12:34:40,2013-03-27 09:11:27,13003756CF10A,,2013-03-15,14,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-29,Risk of Violence,5,Medium,2013-03-29,2013-03-15,2013-03-27,8,0,1099,0,0,0 +1681,gerard gay,gerard,gay,2013-02-05,Male,1965-08-18,50,Greater than 45,African-American,0,2,0,0,7,-1,2013-02-04 07:31:30,2013-02-05 01:26:00,13001728CF10A,2013-02-04,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-02-04,2013-02-05,7,0,1151,0,0,0 +1682,paul sifuentes,paul,sifuentes,2013-04-20,Male,1975-07-19,40,25 - 45,Caucasian,0,1,0,0,3,-1,2013-04-19 04:19:17,2013-04-20 09:50:23,13005624CF10A,2013-04-19,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-20,Risk of Violence,1,Low,2013-04-20,2013-04-19,2013-04-20,3,0,1077,0,0,0 +1683,krystal strobridge,krystal,strobridge,2013-01-17,Female,1986-01-12,30,25 - 45,African-American,0,7,0,0,4,213,2013-08-18 06:15:00,2013-08-19 05:48:42,11037540TC10A,2011-07-24,,543,M,Operating W/O Valid License,1,13017910MM10A,(M1),0,2013-08-18,Petit Theft $100- $300,2013-08-18,2013-08-19,,1,15001791CF10A,(F3),2015-01-01,Child Abuse,Risk of Recidivism,7,Medium,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2013-08-18,2013-08-19,4,0,213,1,1,1 +1684,ashley deal,ashley,deal,2013-02-07,Female,1992-01-27,24,Less than 25,Caucasian,0,7,0,0,2,-1,2013-02-06 04:14:19,2013-02-08 08:31:47,12017180CF10A,,2013-02-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-07,Risk of Violence,5,Medium,2013-02-07,2013-07-27,2013-09-06,2,1,170,0,0,0 +1686,lonnae baker,lonnae,baker,2014-05-09,Female,1992-07-09,23,Less than 25,African-American,0,5,0,0,3,-1,2014-05-08 09:00:55,2014-05-09 01:44:12,14006418CF10A,,2014-05-08,1,F,arrest case no charge,1,14041490TC20A,(M2),55,2014-05-23,Operating W/O Valid License,2014-07-17,2014-07-29,,1,16000543MM10A,(M1),2016-01-16,Battery,Risk of Recidivism,5,Medium,2014-05-09,Risk of Violence,3,Low,2014-05-09,2016-01-17,2016-02-24,3,0,14,1,1,1 +1691,demetrius richardson,demetrius,richardson,2013-03-15,Male,1991-03-10,25,25 - 45,Caucasian,0,10,0,2,4,-10,2013-03-05 04:57:56,2013-03-06 08:00:56,13007819MM10A,2013-03-11,,4,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-15,Risk of Violence,7,Medium,2013-03-15,2013-08-12,2013-11-01,4,0,150,0,0,0 +1692,edy chavarriacalderon,edy,chavarriacalderon,2013-07-26,Male,1969-06-19,46,Greater than 45,Caucasian,0,1,0,0,1,-2,2013-07-24 11:48:45,2013-07-26 10:35:23,13014036MM10A,2013-07-24,,2,M,Viol Pretrial Release Dom Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-26,Risk of Violence,1,Low,2013-07-26,2013-07-24,2013-07-26,1,0,980,0,0,0 +1696,karen colato,karen,colato,2013-12-02,Female,1980-11-17,35,25 - 45,Hispanic,0,8,0,0,10,-40,2013-10-23 11:36:27,2013-11-23 05:17:01,13016099CF10A,2013-10-23,,40,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-02,Risk of Violence,5,Medium,2013-12-02,2013-10-23,2013-11-23,10,0,851,0,0,0 +1697,orlando kirlew,orlando,kirlew,2013-01-08,Male,1990-09-07,25,25 - 45,Other,0,5,0,0,1,-1,2013-01-07 07:39:01,2013-09-30 08:47:34,13000289CF10A,2013-01-07,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-08,Risk of Violence,3,Low,2013-01-08,2013-01-07,2013-09-30,1,265,1179,0,0,0 +1698,vanessa cardellaadams,vanessa,cardellaadams,2013-10-01,Female,1993-06-03,22,Less than 25,Caucasian,0,3,0,0,0,-1,2013-09-30 02:52:30,2013-09-30 02:08:31,13018595MM10A,2013-09-30,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-01,Risk of Violence,4,Low,2013-10-01,2013-09-30,2013-09-30,0,0,913,0,0,0 +1699,elizabeth velazquezlugo,elizabeth,velazquezlugo,2013-12-13,Female,1983-05-28,32,25 - 45,Caucasian,0,2,0,0,1,-1,2013-12-12 03:30:30,2013-12-14 04:07:22,13017184CF10A,2013-12-12,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-13,Risk of Violence,1,Low,2013-12-13,2013-12-12,2013-12-14,1,1,840,0,0,0 +1705,donte dixon,donte,dixon,2013-08-22,Male,1986-01-30,30,25 - 45,African-American,0,5,0,0,10,92,2013-11-22 07:21:10,2014-03-07 12:51:28,12006838CF10A,,2013-02-05,198,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-22,Risk of Violence,7,Medium,2013-08-22,2013-11-22,2014-03-07,10,0,92,0,0,0 +1706,andy wells,andy,wells,2014-06-02,Male,1983-03-08,33,25 - 45,African-American,0,5,0,0,4,-1,2014-06-01 09:28:27,2014-06-03 03:12:10,14008729MM10A,2014-06-01,,1,M,Battery,1,14011982MM10A,(M1),1,2014-08-06,Battery,2014-08-07,2014-08-08,,1,14011982MM10A,(M1),2014-08-06,Battery,Risk of Recidivism,5,Medium,2014-06-02,Risk of Violence,6,Medium,2014-06-02,2014-06-01,2014-06-03,4,1,65,1,1,1 +1707,nolasco pena,nolasco,pena,2013-01-03,Male,1991-06-22,24,Less than 25,African-American,0,2,0,0,0,0,2013-01-03 12:11:06,2013-01-03 07:16:21,13000095CF10A,2013-01-02,,1,F,Poss Unlaw Issue Driver Licenc,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-03,Risk of Violence,3,Low,2013-01-03,2013-01-03,2013-01-03,0,0,1184,0,0,0 +1710,marc corley,marc,corley,2013-04-01,Male,1978-07-20,37,25 - 45,Caucasian,0,2,0,0,0,-1,2013-03-31 03:19:09,2013-04-01 01:49:26,13006170MM10A,2013-03-30,,2,M,Susp Drivers Lic 1st Offense,1,15004715CF10A,(F3),-1,2015-04-10,Grand Theft in the 3rd Degree,2015-04-09,2015-04-11,,0,,,,,Risk of Recidivism,2,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2015-04-09,2015-04-11,0,0,739,1,0,0 +1711,christina garrison,christina,garrison,2014-01-07,Female,1976-01-29,40,25 - 45,Caucasian,0,1,0,0,0,0,2014-01-07 02:07:12,2014-01-07 08:02:01,14000280MM10A,2014-01-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-01-07,2014-01-07,0,0,815,0,0,0 +1714,marsell mccullough,marsell,mccullough,2013-04-30,Male,1989-01-02,27,25 - 45,Caucasian,0,10,0,0,1,506,2014-09-18 12:45:14,2015-05-06 04:54:06,12004080CF10A,2012-03-17,,409,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-30,Risk of Violence,10,High,2013-04-30,2014-09-18,2015-05-06,1,0,506,0,0,0 +1715,earl williams,earl,williams,2013-03-25,Male,1972-07-16,43,25 - 45,African-American,0,6,0,0,9,-1,2013-03-24 08:22:40,2013-03-25 07:55:14,13005794CF10A,2013-03-24,,1,F,Felony Battery,1,13005994MM10A,(M1),0,2013-03-27,Viol Prot Injunc Repeat Viol,2013-03-27,2013-06-14,,1,15006683MM10A,(M1),2015-06-21,Battery,Risk of Recidivism,6,Medium,2013-03-25,Risk of Violence,2,Low,2013-03-25,2013-03-27,2013-06-14,9,0,2,1,1,1 +1716,chad bouma,chad,bouma,2013-09-16,Male,1989-08-31,26,25 - 45,Caucasian,0,4,0,0,11,-56,2013-07-22 06:01:53,2013-09-16 12:04:00,13011493CF10A,,2013-08-14,33,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-16,Risk of Violence,3,Low,2013-09-16,2013-07-22,2013-09-16,11,0,928,0,0,0 +1718,justin floyd,justin,floyd,2013-05-21,Male,1991-01-26,25,25 - 45,African-American,0,9,1,0,11,-1,2013-05-20 05:02:22,2013-05-27 02:35:13,13007190CF10A,2013-05-20,,1,F,Grand Theft in the 3rd Degree,1,13014216CF10A,(F3),0,2013-10-10,Aggravated Assault W/Dead Weap,2013-10-10,2014-06-19,,1,13014216CF10A,(F3),2013-10-10,Aggravated Assault W/Dead Weap,Risk of Recidivism,9,High,2013-05-21,Risk of Violence,8,High,2013-05-21,2013-10-10,2014-06-19,11,6,142,1,1,1 +1724,jeffrey basham,jeffrey,basham,2013-09-27,Male,1963-02-27,53,Greater than 45,Caucasian,0,6,0,0,1,-246,2013-01-24 05:33:23,2013-03-16 05:49:00,13001168CF10A,,2013-01-24,246,F,arrest case no charge,1,15008489TC20A,(M2),,2015-01-28,Unlaw LicTag/Sticker Attach,,,,1,15009771MO10A,(MO3),2015-09-04,Battery,Risk of Recidivism,6,Medium,2013-09-27,Risk of Violence,2,Low,2013-09-27,2013-01-24,2013-03-16,1,0,488,1,1,1 +1725,yesenia rosas,yesenia,rosas,2013-01-24,Female,1989-03-04,27,25 - 45,Hispanic,0,3,0,0,0,,,,13001074CF10A,2013-01-23,,1,F,Grand Theft in the 3rd Degree,1,15018081TC20A,(M2),,2015-03-12,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,,,0,0,777,1,0,0 +1727,patsy kennedy,patsy,kennedy,2013-02-20,Female,1964-02-12,52,Greater than 45,African-American,0,1,0,0,1,-28,2013-01-23 11:28:00,2013-01-24 05:00:54,13001073CF10A,2013-01-23,,28,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-01-23,2013-01-24,1,0,1136,0,0,0 +1730,arthur mcqueen,arthur,mcqueen,2014-03-04,Male,1968-08-25,47,Greater than 45,African-American,0,4,0,0,5,-1,2014-03-03 09:34:24,2014-03-04 09:28:47,14005532MM10A,,2014-03-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-04,Risk of Violence,1,Low,2014-03-04,2014-03-03,2014-03-04,5,0,759,0,0,0 +1731,kenneth cash,kenneth,cash,2013-02-08,Male,1966-01-03,50,Greater than 45,Caucasian,0,1,0,0,1,,,,12013597CF10A,2012-09-14,,147,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-08,Risk of Violence,1,Low,2013-02-08,,,1,0,1148,0,0,0 +1733,brenda inman,brenda,inman,2013-05-23,Female,1963-06-17,52,Greater than 45,Caucasian,0,7,0,0,6,0,2013-05-23 01:18:11,2013-06-25 08:29:01,08017042MM10A,2008-05-17,,1832,M,Theft/To Deprive,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-23,Risk of Violence,2,Low,2013-05-23,2013-05-23,2013-06-25,6,33,1044,0,0,0 +1734,vanessa albino,vanessa,albino,2013-01-02,Female,1974-07-20,41,25 - 45,Caucasian,0,1,0,0,0,,,,12026484MM10A,2012-12-30,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,,,0,0,1185,0,0,0 +1735,jeffrey dolgan,jeffrey,dolgan,2014-02-03,Male,1978-11-13,37,25 - 45,Caucasian,0,1,0,0,0,0,2014-02-03 03:16:01,2014-02-03 08:15:52,14001871MM10A,2014-02-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,2,Low,2014-02-03,2014-02-03,2014-02-03,0,0,788,0,0,0 +1736,laque vallejo,laque,vallejo,2013-08-23,Female,1992-02-09,24,Less than 25,African-American,0,7,0,0,0,-1,2013-08-22 07:13:26,2013-08-23 07:19:05,13011801CF10A,2013-08-22,,1,F,Retail Theft $300 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-23,Risk of Violence,5,Medium,2013-08-23,2013-08-22,2013-08-23,0,0,952,0,0,0 +1737,moeshae reed,moeshae,reed,2013-09-10,Female,1981-09-09,34,25 - 45,African-American,0,9,0,0,14,-1,2013-09-09 10:18:23,2013-09-13 08:09:26,13012724CF10A,2013-09-09,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-10,Risk of Violence,8,High,2013-09-10,2014-07-17,2014-08-20,14,3,310,0,0,0 +1747,christopher babecki,christopher,babecki,2013-12-11,Male,1984-05-06,31,25 - 45,Caucasian,0,5,0,0,3,-37,2013-11-04 09:31:52,2013-12-06 11:28:52,13020821MM10A,2013-11-04,,37,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-11,Risk of Violence,7,Medium,2013-12-11,2014-05-21,2014-05-28,3,0,161,0,0,0 +1749,sheila trovato,sheila,trovato,2013-10-03,Female,1953-10-02,62,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-03 02:12:45,2013-10-03 08:30:26,13018829MM10A,2013-10-02,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-10-03,2013-10-03,0,0,911,0,0,0 +1752,cynthia cardoza,cynthia,cardoza,2013-03-20,Female,1956-02-27,60,Greater than 45,Caucasian,0,7,0,0,0,0,2013-03-20 03:59:30,2013-04-02 11:35:13,13004060CF10A,2013-03-20,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-20,Risk of Violence,3,Low,2013-03-20,2013-03-20,2013-04-02,0,13,1108,0,0,0 +1754,norberto garcia,norberto,garcia,2014-03-03,Male,1980-11-27,35,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-02 08:33:08,2014-03-03 09:10:46,14003572MM10A,2014-03-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-02,2014-03-03,0,0,760,0,0,0 +1755,samyrah carter,samyrah,carter,2013-10-07,Female,1991-05-12,24,Less than 25,African-American,0,7,0,0,0,-1,2013-10-06 11:32:23,2013-10-07 06:38:36,13014025CF10A,2013-10-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-10-06,2013-10-07,0,0,907,0,0,0 +1756,catherine capozzi,catherine,capozzi,2014-01-09,Female,1959-08-03,56,Greater than 45,Caucasian,0,2,0,0,1,-60,2013-11-10 03:07:19,2013-11-14 04:25:14,13015656CF10A,,2013-11-10,60,F,arrest case no charge,1,14012699MM10A,(M1),1,2014-08-23,Battery,2014-08-24,2014-09-04,,1,14012699MM10A,(M1),2014-08-23,Battery,Risk of Recidivism,2,Low,2014-01-09,Risk of Violence,1,Low,2014-01-09,2014-08-24,2014-09-04,1,0,226,1,1,1 +1757,christopher crespo,christopher,crespo,2013-04-26,Male,1985-09-23,30,25 - 45,Caucasian,0,1,0,0,0,0,2013-04-26 04:51:20,2013-04-26 01:38:42,13008070MM10A,2013-04-26,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-26,Risk of Violence,2,Low,2013-04-26,2013-04-26,2013-04-26,0,0,1071,0,0,0 +1759,derrick key,derrick,key,2013-01-15,Male,1974-08-28,41,25 - 45,Caucasian,0,9,0,0,17,171,2013-07-05 04:18:32,2013-08-21 10:32:00,12014461MM10A,2012-07-13,,186,M,Driving License Suspended,1,14003946CF10A,(F3),1,2014-03-20,Robbery Sudd Snatch No Weapon,2014-03-21,2014-10-01,,1,14003946CF10A,(F3),2014-03-20,Robbery Sudd Snatch No Weapon,Risk of Recidivism,9,High,2013-01-15,Risk of Violence,6,Medium,2013-01-15,2013-07-05,2013-08-21,17,0,171,0,1,1 +1764,rachel chamberlain,rachel,chamberlain,2013-12-18,Female,1987-05-31,28,25 - 45,Caucasian,0,4,0,0,0,-1,2013-12-17 03:11:35,2013-12-17 08:52:31,13023371MO10A,2013-12-17,,1,M,Intoxicated/Safety Of Another,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-18,Risk of Violence,3,Low,2013-12-18,2013-12-17,2013-12-17,0,0,835,0,0,0 +1765,tramail kelly,tramail,kelly,2013-09-18,Male,1993-03-02,23,Less than 25,African-American,0,10,1,0,1,689,2015-08-08 12:21:20,2015-08-12 08:08:19,11026244MO10A,2011-11-16,,672,M,Gambling/Gamb Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-18,Risk of Violence,8,High,2013-09-18,2015-08-08,2015-08-12,1,0,689,0,0,0 +1768,paulette clarke,paulette,clarke,2013-10-02,Male,1959-06-24,56,Greater than 45,African-American,0,1,0,0,0,-1,2013-10-01 01:21:21,2013-10-02 12:35:21,13013701CF10A,2013-09-30,,2,F,Neglect/Abuse Elderly Person,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-01,2013-10-02,0,0,912,0,0,0 +1772,jose morales,jose,morales,2013-04-12,Male,1978-05-01,37,25 - 45,Hispanic,0,2,1,0,4,,,,12015794CF10A,,2012-10-25,169,F,arrest case no charge,1,15014332CF10A,(F1),,2015-10-12,Conspire Traffic Illegal Drugs,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,,,4,0,913,1,0,0 +1774,adam rosario,adam,rosario,2014-03-29,Male,1993-03-01,23,Less than 25,Caucasian,0,2,1,0,1,-1,2014-03-28 11:35:16,2014-03-29 09:58:14,14005385MM10A,2014-03-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-29,Risk of Violence,4,Low,2014-03-29,2014-03-28,2014-03-29,1,0,734,0,0,0 +1777,tamera bankston,tamera,bankston,2013-01-23,Female,1994-07-04,21,Less than 25,African-American,1,7,2,2,3,539,2014-07-16 04:03:46,2014-09-13 05:41:15,12015061CF10A,2012-04-13,,285,F,Grand Theft In The 3Rd Degree,1,15009884MM10A,(M1),1,2015-09-18,Battery,2015-09-19,2015-10-14,,1,15009884MM10A,(M1),2015-09-18,Battery,Risk of Recidivism,7,Medium,2013-01-23,Risk of Violence,8,High,2013-01-23,2014-07-16,2014-09-13,3,0,539,0,0,0 +1780,portia cooper,portia,cooper,2013-09-06,Female,1981-01-16,35,25 - 45,African-American,0,5,0,0,2,-1,2013-09-05 05:55:01,2013-09-19 09:03:27,08010781CF10A,,2013-09-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-06,Risk of Violence,2,Low,2013-09-06,2013-09-05,2013-09-19,2,13,938,0,0,0 +1781,brandon burwell,brandon,burwell,2013-03-30,Male,1982-08-20,33,25 - 45,Caucasian,0,3,0,0,3,0,2013-03-30 03:59:43,2013-03-30 08:08:08,13013468TC10A,2013-03-30,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,3,Low,2013-03-30,2013-03-30,2013-03-30,3,0,1098,0,0,0 +1783,bryan santana,bryan,santana,2013-05-12,Male,1994-06-25,21,Less than 25,Hispanic,0,4,0,0,0,-1,2013-05-11 03:01:10,2013-05-15 07:34:44,13006789CF10A,2013-05-11,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-12,Risk of Violence,6,Medium,2013-05-12,2015-09-02,2015-10-10,0,3,843,0,0,0 +1786,jeremiah wilson,jeremiah,wilson,2013-02-18,Male,1974-06-17,41,25 - 45,African-American,2,9,1,0,9,-1,2013-02-17 06:51:32,2013-02-18 06:40:08,13003422MO10A,2013-02-17,,1,M,Poss Of Controlled Substance,1,15008152MM10A,(M1),1,2015-08-01,Resist/Obstruct W/O Violence,2015-08-02,2015-08-02,,0,,,,,Risk of Recidivism,9,High,2013-02-18,Risk of Violence,5,Medium,2013-02-18,2015-09-27,2015-09-28,9,0,894,1,0,0 +1787,keenen stinson,keenen,stinson,2013-10-14,Male,1992-03-13,24,Less than 25,African-American,0,5,0,0,0,-1,2013-10-13 05:01:13,2013-10-17 05:14:26,13014326CF10A,2013-10-13,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-14,Risk of Violence,7,Medium,2013-10-14,2013-10-13,2013-10-17,0,3,900,0,0,0 +1792,nelson osceola,nelson,osceola,2013-01-19,Male,1990-10-02,25,25 - 45,Native American,0,9,0,0,7,0,2013-01-19 12:25:22,2013-01-20 07:58:22,13000903CF10A,2013-01-19,,0,F,Burglary Conveyance Assault/Bat,1,15004061CF10A,(F3),,2015-03-11,Neglect Child / No Bodily Harm,,,,1,15007467CF10A,(F2),2015-03-19,Neglect Child / Bodily Harm,Risk of Recidivism,9,High,2013-01-19,Risk of Violence,6,Medium,2013-01-19,2015-02-22,2015-02-28,7,1,764,0,0,0 +1794,darron wilson,darron,wilson,2013-04-13,Male,1966-09-18,49,Greater than 45,African-American,0,2,0,0,3,0,2013-04-13 03:06:25,2013-04-14 04:33:37,13005332CF10A,2013-04-13,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-13,Risk of Violence,1,Low,2013-04-13,2013-04-13,2013-04-14,3,1,1084,0,0,0 +1795,kassandra cruz,kassandra,cruz,2013-04-24,Female,1993-08-06,22,Less than 25,Hispanic,0,6,0,0,0,0,2013-04-24 03:08:06,2013-04-24 08:19:38,13005902CF10A,2013-04-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-24,Risk of Violence,6,Medium,2013-04-24,2013-04-24,2013-04-24,0,0,1073,0,0,0 +1797,ciara mcgriff,ciara,mcgriff,2014-04-02,Female,1988-08-17,27,25 - 45,African-American,0,9,0,0,3,-1,2014-04-01 07:29:54,2014-04-04 09:24:50,14004550CF10A,2014-04-01,,1,F,Grand Theft (Motor Vehicle),1,15006946MM10A,(M1),0,2015-06-28,Misuse Of Wireless 911 System,2015-06-28,2015-07-21,,1,15006946MM10A,(M1),2015-06-28,Battery,Risk of Recidivism,9,High,2014-04-02,Risk of Violence,6,Medium,2014-04-02,2015-06-28,2015-07-21,3,2,452,1,1,1 +1798,robert boyd,robert,boyd,2013-10-21,Male,1983-08-01,32,25 - 45,African-American,0,7,0,0,4,302,2014-08-19 12:08:06,2015-02-26 05:29:25,11020553CF10A,,2012-02-20,609,F,arrest case no charge,1,14012503MM10A,(M1),0,2014-08-19,Resist/Obstruct W/O Violence,2014-08-19,2015-02-26,,1,15007322CF10A,(F3),2015-04-01,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2013-10-21,Risk of Violence,6,Medium,2013-10-21,2014-08-19,2015-02-26,4,0,302,1,1,1 +1800,darryl mckinney,darryl,mckinney,2013-12-26,Male,1965-06-22,50,Greater than 45,African-American,0,5,0,0,4,-3,2013-12-23 11:01:49,2013-12-25 12:33:55,13023697MM10A,2013-12-23,,3,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-26,Risk of Violence,2,Low,2013-12-26,2013-12-23,2013-12-25,4,0,827,0,0,0 +1801,sadieanne bailey,sadieanne,bailey,2014-01-28,Female,1992-10-03,23,Less than 25,African-American,0,3,0,0,0,0,2014-01-28 02:07:15,2014-01-28 08:01:14,14001560MM10A,2014-01-28,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-28,Risk of Violence,3,Low,2014-01-28,2014-01-28,2014-01-28,0,0,794,0,0,0 +1803,jasmine milan,jasmine,milan,2014-01-05,Male,1981-06-24,34,25 - 45,Caucasian,0,4,0,0,0,-1,2014-01-04 11:00:17,2014-01-05 08:05:12,14000188MM10A,2014-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-05,Risk of Violence,2,Low,2014-01-05,2014-01-04,2014-01-05,0,0,817,0,0,0 +1804,steve chin,steve,chin,2013-05-29,Male,1980-10-19,35,25 - 45,African-American,0,4,0,0,1,,,,13010257MM10A,2013-05-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-29,Risk of Violence,2,Low,2013-05-29,,,1,0,1038,0,0,0 +1809,diego rocha,diego,rocha,2013-08-13,Male,1990-09-13,25,25 - 45,Other,0,4,0,0,1,-1,2013-08-12 08:23:20,2013-10-09 09:34:57,13015229MM10A,2013-08-12,,1,M,Battery,1,14004438MM10A,(M2),,2014-01-12,Petit Theft,,,,1,14013733CF10A,(F2),2014-10-11,Robbery / No Weapon,Risk of Recidivism,4,Low,2013-08-13,Risk of Violence,6,Medium,2013-08-13,2013-08-12,2013-10-09,1,57,152,1,1,1 +1810,ulises gonzalezsanchez,ulises,gonzalezsanchez,2013-11-03,Male,1985-07-11,30,25 - 45,Hispanic,0,1,0,0,0,-1,2013-11-02 07:39:34,2013-11-03 01:25:34,13020683MM10A,2013-11-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-11-03,0,0,880,0,0,0 +1815,derek billie,derek,billie,2013-02-10,Male,1974-02-12,42,25 - 45,Native American,0,2,0,0,0,-1,2013-02-09 02:53:17,2013-02-12 05:49:29,13002924MM10A,2013-02-09,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-10,Risk of Violence,1,Low,2013-02-10,2013-02-09,2013-02-12,0,2,1146,0,0,0 +1819,beville quintal,beville,quintal,2013-10-02,Male,1991-08-19,24,Less than 25,Other,0,6,0,0,5,-1,2013-10-01 10:04:46,2013-10-02 11:33:20,13013765CF10A,2013-10-01,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-02,Risk of Violence,5,Medium,2013-10-02,2013-10-01,2013-10-02,5,0,912,0,0,0 +1820,bobby sturdivant,bobby,sturdivant,2013-10-30,Male,1964-04-11,52,Greater than 45,African-American,0,1,0,0,3,-1,2013-10-29 08:09:10,2013-10-30 02:04:02,13015109CF10A,,2013-10-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,2,Low,2013-10-30,2014-12-15,2014-12-15,3,0,411,0,0,0 +1821,daphne nunez,daphne,nunez,2014-01-13,Female,1989-07-01,26,25 - 45,Caucasian,0,3,0,0,3,-1,2014-01-12 07:47:15,2014-01-13 02:00:29,14000574MM10A,2014-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-13,Risk of Violence,3,Low,2014-01-13,2014-01-12,2014-01-13,3,0,809,0,0,0 +1823,jesus zacarias,jesus,zacarias,2013-03-31,Male,1977-11-22,38,25 - 45,Hispanic,0,1,0,0,0,0,2013-03-31 03:07:51,2013-04-01 06:36:12,13004624CF10A,2013-03-31,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-03-31,2013-04-01,0,1,1097,0,0,0 +1826,christopher kirwan,christopher,kirwan,2013-04-05,Male,1969-04-04,47,Greater than 45,Caucasian,0,1,0,0,2,,,,13001190TC10A,2012-12-26,,100,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,,,2,0,1092,0,0,0 +1827,alexander blackshure,alexander,blackshure,2013-08-29,Male,1991-03-23,25,25 - 45,African-American,0,7,0,0,5,77,2013-11-14 09:36:58,2014-01-10 10:22:00,13012145CF10A,,2013-08-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-29,Risk of Violence,5,Medium,2013-08-29,2013-11-14,2014-01-10,5,0,77,0,0,0 +1829,jorge valenzuela,jorge,valenzuela,2013-03-14,Female,1985-10-22,30,25 - 45,Caucasian,0,5,0,0,0,0,2013-03-14 02:57:45,2013-03-15 06:01:08,13003758CF10A,2013-03-14,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-14,Risk of Violence,2,Low,2013-03-14,2013-03-14,2013-03-15,0,1,1114,0,0,0 +1830,brion altidor,brion,altidor,2014-09-29,Male,1995-08-30,20,Less than 25,African-American,0,10,0,0,0,-1,2014-09-28 05:46:42,2014-10-02 08:08:29,14014308MM10A,2014-09-28,,1,M,Battery,1,14014114CF10A,(M1),0,2014-10-19,Resist/Obstruct W/O Violence,2014-10-19,2014-11-03,,1,14014114CF10A,(F3),2014-10-19,Aggravated Assault W/Dead Weap,Risk of Recidivism,10,High,2014-09-29,Risk of Violence,10,High,2014-09-29,2014-10-19,2014-11-03,0,3,20,1,1,1 +1832,ebony taylor,ebony,taylor,2013-01-09,Female,1987-01-12,29,25 - 45,African-American,0,10,0,0,2,64,2013-03-14 01:32:51,2013-03-16 09:48:32,12017819CF10A,2012-12-06,,34,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-09,Risk of Violence,10,High,2013-01-09,2013-03-14,2013-03-16,2,0,64,0,0,0 +1833,marion rickard,marion,rickard,2013-03-25,Male,1992-04-18,24,Less than 25,Asian,0,3,0,0,0,-1,2013-03-24 09:12:24,2013-03-25 07:15:23,13004274CF10A,2013-03-24,,1,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,4,Low,2013-03-25,2013-03-24,2013-03-25,0,0,1103,0,0,0 +1834,adrian lesniewski,adrian,lesniewski,2013-02-21,Male,1984-12-04,31,25 - 45,Caucasian,0,4,0,0,0,-1,2013-02-20 08:50:03,2013-05-09 06:18:55,13002580CF10A,2013-02-20,,1,F,Del of JWH-250 2-Methox 1-Pentyl,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-21,Risk of Violence,5,Medium,2013-02-21,2013-02-20,2013-05-09,0,77,1135,0,0,0 +1840,elisa lamotta,elisa,lamotta,2013-09-23,Female,1961-10-06,54,Greater than 45,Caucasian,0,2,0,0,12,-175,2013-04-01 09:07:35,2013-09-19 09:03:22,13004659CF10A,2013-04-01,,175,F,Purchasing Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-04-01,2013-09-19,12,0,921,0,0,0 +1841,alexandra spinney,alexandra,spinney,2013-02-21,Female,1979-02-12,37,25 - 45,Caucasian,0,3,0,0,1,-25,2013-01-27 04:29:27,2013-01-28 08:30:45,13001917MM10A,2013-01-27,,25,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-21,Risk of Violence,2,Low,2013-02-21,2013-01-27,2013-01-28,1,0,1135,0,0,0 +1845,diana innocent,diana,innocent,2013-02-27,Female,1982-04-29,33,25 - 45,African-American,0,2,0,0,1,-2,2013-02-25 10:43:20,2013-02-26 01:28:27,13002865CF10A,2013-02-25,,2,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-27,Risk of Violence,2,Low,2013-02-27,2013-02-25,2013-02-26,1,0,1129,0,0,0 +1846,javaris mosley,javaris,mosley,2014-03-27,Male,1995-08-23,20,Less than 25,African-American,0,9,0,0,1,-83,2014-01-03 02:01:50,2014-03-27 10:13:13,14000137CF10A,,2014-02-05,50,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-27,Risk of Violence,8,High,2014-03-27,2014-01-03,2014-03-27,1,0,736,0,0,0 +1847,mark ramsey,mark,ramsey,2013-03-25,Male,1974-02-25,42,25 - 45,African-American,0,1,0,0,0,0,2013-03-25 12:03:45,2013-03-25 09:43:32,13005748MM10A,2013-03-24,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-06-13,2013-07-12,0,0,80,0,0,0 +1850,michael gibbons,michael,gibbons,2013-02-14,Male,1983-09-06,32,25 - 45,African-American,0,6,0,0,4,-1,2013-02-13 05:34:20,2014-04-03 06:22:15,13002338CF10A,,2013-02-14,0,F,arrest case no charge,1,15003548MM10A,(M1),308,2015-03-06,Battery,2016-01-08,2016-01-09,,1,15003548MM10A,(M1),2015-03-06,Battery,Risk of Recidivism,6,Medium,2013-02-14,Risk of Violence,7,Medium,2013-02-14,2014-04-03,2014-12-18,4,672,750,1,1,1 +1852,james harriott,james,harriott,2014-08-17,Male,1987-07-05,28,25 - 45,African-American,0,7,0,0,7,-1,2014-08-16 05:41:44,2014-08-18 02:54:31,14011222CF10A,2014-08-16,,1,F,Aggravated Assault W/Dead Weap,1,14002778MM20A,(M2),,2014-09-04,Poss Of RX Without RX,,,,1,15016452CF10A,(F2),2015-12-25,Aggravated Battery,Risk of Recidivism,7,Medium,2014-08-17,Risk of Violence,6,Medium,2014-08-17,2014-08-16,2014-08-18,7,1,18,1,1,1 +1853,kenneth hergert,kenneth,hergert,2013-02-14,Male,1977-07-23,38,25 - 45,Caucasian,0,4,0,0,0,0,2013-02-14 05:26:52,2013-07-22 06:55:53,13002326CF10A,2013-02-14,,0,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-14,Risk of Violence,2,Low,2013-02-14,2013-02-14,2013-07-22,0,158,1142,0,0,0 +1854,varian powell,varian,powell,2013-02-08,Male,1977-08-24,38,25 - 45,African-American,0,4,0,0,3,-1,2013-02-07 08:57:01,2013-02-08 09:37:20,13001917CF10A,2013-02-07,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-08,Risk of Violence,1,Low,2013-02-08,2013-02-07,2013-02-08,3,0,1148,0,0,0 +1856,kole roundtree,kole,roundtree,2014-03-05,Male,1994-12-24,21,Less than 25,Caucasian,0,4,0,0,1,-301,2013-05-08 04:53:15,2013-05-09 04:31:29,14003062CF10A,2014-03-04,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-05,Risk of Violence,5,Medium,2014-03-05,2013-05-08,2013-05-09,1,0,758,0,0,0 +1859,nicole moncur,nicole,moncur,2013-02-24,Female,1981-09-15,34,25 - 45,African-American,0,3,0,0,0,-1,2013-02-23 03:07:35,2013-02-24 06:13:24,13003783MM10A,2013-02-23,,1,M,Battery,1,15001319MM20A,(M1),,2015-05-08,Possess Cannabis/20 Grams Or Less,,,,1,15010338CF10A,(F3),2015-08-10,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2013-02-24,Risk of Violence,2,Low,2013-02-24,2015-08-11,2015-10-22,0,0,803,1,0,0 +1864,evens gustave,evens,gustave,2013-02-22,Male,1977-08-13,38,25 - 45,African-American,0,2,0,0,1,-1,2013-02-21 07:43:08,2013-03-01 08:19:03,12025265MM10A,,2013-02-21,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-22,Risk of Violence,2,Low,2013-02-22,2013-02-21,2013-03-01,1,7,1134,0,0,0 +1865,mario brown,mario,brown,2013-11-20,Male,1979-11-24,36,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-19 06:28:12,2013-12-14 04:30:00,13016070CF10A,2013-11-19,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-11-19,2013-12-14,0,24,863,0,0,0 +1866,harold luzon,harold,luzon,2014-01-03,Male,1984-02-11,32,25 - 45,Hispanic,0,2,0,0,0,-6,2013-12-28 04:21:31,2014-01-03 05:33:42,13023903MM10A,2013-12-28,,6,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-03,Risk of Violence,2,Low,2014-01-03,2013-12-28,2014-01-03,0,0,819,0,0,0 +1868,kamal smith,kamal,smith,2013-05-22,Male,1992-05-02,23,Less than 25,African-American,0,9,0,0,0,-1,2013-05-21 10:03:18,2013-05-22 08:06:02,13009802MM10A,2013-05-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-22,Risk of Violence,8,High,2013-05-22,2013-05-21,2013-05-22,0,0,1045,0,0,0 +1869,todd hayes,todd,hayes,2013-09-21,Male,1968-07-05,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-20 11:27:11,2013-09-21 08:40:49,13017986MM10A,2013-09-20,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-21,Risk of Violence,1,Low,2013-09-21,2013-09-20,2013-09-21,0,0,923,0,0,0 +1870,nathaniel heron,nathaniel,heron,2013-10-28,Male,1995-08-23,20,Less than 25,African-American,0,3,0,0,0,0,2013-10-28 04:46:03,2013-10-28 01:37:14,13015047CF10A,2013-10-28,,0,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-28,Risk of Violence,6,Medium,2013-10-28,2013-10-28,2013-10-28,0,0,886,0,0,0 +1872,jarrell weaver,jarrell,weaver,2013-11-01,Male,1980-12-28,35,25 - 45,African-American,0,1,0,0,0,-1,2013-10-31 02:23:41,2013-11-01 01:40:24,13020575MM10A,2013-10-30,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-01,Risk of Violence,1,Low,2013-11-01,2013-10-31,2013-11-01,0,0,882,0,0,0 +1873,virgini ocio,virgini,ocio,2013-10-10,Female,1986-03-12,30,25 - 45,Caucasian,0,3,0,0,1,-82,2013-07-20 10:18:05,2013-08-31 06:13:40,13010192CF10A,2013-07-20,,82,F,Possession Of Lorazepam,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-10,Risk of Violence,2,Low,2013-10-10,2013-07-20,2013-08-31,1,0,904,0,0,0 +1874,nathalie joseph,nathalie,joseph,2014-02-13,Female,1988-01-24,28,25 - 45,Caucasian,0,4,0,0,1,-1,2014-02-12 02:08:55,2014-02-13 08:48:41,14002471MM10A,2014-02-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-13,Risk of Violence,4,Low,2014-02-13,2014-02-12,2014-02-13,1,0,778,0,0,0 +1876,julie gallardo,julie,gallardo,2013-08-06,Female,1970-12-30,45,Greater than 45,Caucasian,0,3,0,0,3,336,2014-07-08 01:11:12,2014-08-21 11:06:28,12007678MM10A,2012-04-13,,480,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-06,Risk of Violence,2,Low,2013-08-06,2014-07-08,2014-08-21,3,0,336,0,0,0 +1879,roosevelt roberts,roosevelt,roberts,2013-01-15,Male,1994-02-11,22,Less than 25,African-American,0,9,0,0,0,-1,2013-01-14 12:35:16,2013-01-15 06:41:16,13000645CF10A,2013-01-14,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-15,Risk of Violence,9,High,2013-01-15,2013-01-14,2013-01-15,0,0,1172,0,0,0 +1880,renee sopon,renee,sopon,2013-11-04,Male,1995-05-23,20,Less than 25,Other,0,10,8,1,8,-1,2013-11-03 07:03:06,2013-11-04 08:10:42,13015300CF10A,2013-11-03,,1,F,Driving While License Revoked,1,13015756CF10A,(F3),0,2013-11-13,Driving While License Revoked,2013-11-13,2013-11-13,,1,14001059CF10A,(F2),2014-01-24,Agg Fleeing/Eluding High Speed,Risk of Recidivism,10,High,2013-11-04,Risk of Violence,8,High,2013-11-04,2013-11-13,2013-11-13,8,0,9,0,1,1 +1881,lydia mosssolomon,lydia,mosssolomon,2013-08-30,Female,1974-04-05,42,25 - 45,African-American,0,1,0,0,0,31,2013-09-30 06:56:01,2013-10-02 09:53:16,13016661MM10A,2013-08-30,,0,M,Battery,1,13020336MM10A,(M1),0,2013-09-30,Battery,2013-09-30,2013-10-02,,1,13013716CF10A,(F2),2013-09-30,Agg Battery Grt/Bod/Harm,Risk of Recidivism,1,Low,2013-08-30,Risk of Violence,1,Low,2013-08-30,2013-09-30,2013-10-02,0,0,31,1,1,1 +1882,zachary santiago,zachary,santiago,2013-05-08,Male,1991-07-08,24,Less than 25,African-American,1,9,1,0,8,-54,2013-03-15 10:50:11,2013-05-01 10:54:09,09007486CF10A,,2013-03-15,54,F,arrest case no charge,1,13016276CF10A,(F3),0,2013-11-22,Possession Of Lorazepam,2013-11-22,2013-12-04,,1,14003873CF10A,(F3),2014-03-19,Agg Fleeing and Eluding,Risk of Recidivism,9,High,2013-05-08,Risk of Violence,10,High,2013-05-08,2013-11-22,2013-12-04,8,0,198,1,1,1 +1883,rolfi hernandez,rolfi,hernandez,2014-02-10,Male,1975-06-27,40,25 - 45,Hispanic,0,1,0,0,0,0,2014-02-10 01:41:01,2014-02-10 08:22:50,14002280MM10A,2014-02-10,,0,M,Solic to Commit Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-10,2014-02-10,0,0,781,0,0,0 +1884,michael rivera,michael,rivera,2013-12-29,Male,1988-11-03,27,25 - 45,Other,0,4,0,0,1,-1,2013-12-28 10:43:59,2014-01-03 08:51:14,13017908CF10A,2013-12-28,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-29,Risk of Violence,4,Low,2013-12-29,2013-12-28,2014-01-03,1,5,824,0,0,0 +1886,timothy thompson,timothy,thompson,2013-05-03,Male,1955-11-07,60,Greater than 45,African-American,0,3,0,0,12,-1,2013-05-02 10:16:05,2013-05-03 12:40:40,13006304CF10A,2013-05-02,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2014-06-16,2014-06-18,12,0,409,0,0,0 +1888,jacoby kirksey,jacoby,kirksey,2013-01-26,Male,1983-02-27,33,25 - 45,African-American,0,5,0,0,6,-1,2013-01-25 10:07:00,2013-01-26 07:41:44,13001831MM10A,2013-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-26,Risk of Violence,4,Low,2013-01-26,2013-03-08,2013-03-26,6,0,41,0,0,0 +1893,anthony petersen,anthony,petersen,2013-03-10,Male,1992-02-22,24,Less than 25,Caucasian,0,8,0,0,4,-1,2013-03-09 08:48:08,2013-03-10 07:11:28,13004746MM10A,2013-03-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-10,Risk of Violence,4,Low,2013-03-10,2013-08-16,2013-08-21,4,0,159,0,0,0 +1895,marques hawks,marques,hawks,2013-02-07,Male,1987-03-21,29,25 - 45,African-American,1,10,1,1,4,0,2013-02-07 02:10:43,2014-01-28 06:29:27,13001905CF10A,2013-02-06,,1,F,Carjacking with a Firearm,1,13002946CF10A,(F2),,2013-02-25,Poss Wep Conv Felon,,,,1,15014881CF10A,(F2),2015-11-16,Attempted Robbery Firearm,Risk of Recidivism,10,High,2013-02-07,Risk of Violence,9,High,2013-02-07,2013-02-07,2014-01-28,4,0,18,1,1,1 +1899,kelby contreras,kelby,contreras,2013-03-07,Male,1983-08-03,32,25 - 45,Hispanic,0,1,0,0,0,-1,2013-03-06 08:29:29,2013-03-07 08:09:09,13004553MM10A,2013-03-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-07,Risk of Violence,1,Low,2013-03-07,2013-03-06,2013-03-07,0,0,1121,0,0,0 +1900,william king,william,king,2013-03-06,Male,1985-08-29,30,25 - 45,Caucasian,0,5,0,0,10,123,2013-07-07 12:51:23,2013-10-24 09:20:44,12002830CF10A,,2012-02-22,378,F,arrest case no charge,1,13012890MM10A,(M1),0,2013-07-07,Battery,2013-07-07,2013-10-24,,1,13012890MM10A,(M1),2013-07-07,Battery,Risk of Recidivism,5,Medium,2013-03-06,Risk of Violence,2,Low,2013-03-06,2013-07-07,2013-10-24,10,0,123,1,1,1 +1904,kishu ramsay,kishu,ramsay,2013-01-16,Male,1984-01-29,32,25 - 45,African-American,0,4,0,0,1,0,2013-01-16 12:41:51,2013-01-16 06:44:28,13000729CF10A,2013-01-16,,0,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-16,Risk of Violence,3,Low,2013-01-16,2013-01-16,2013-01-16,1,0,1171,0,0,0 +1905,crystal fallon,crystal,fallon,2013-01-29,Male,1988-06-10,27,25 - 45,Other,0,1,0,0,0,-2,2013-01-27 06:21:47,2013-01-29 10:59:25,13001334CF10A,2013-01-27,,2,F,Robbery / Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,2,Low,2013-01-29,2013-03-26,2013-04-05,0,0,56,0,0,0 +1906,gregory stinson,gregory,stinson,2013-03-27,Male,1985-10-30,30,25 - 45,Caucasian,0,4,0,0,3,-1,2013-03-26 09:34:36,2013-03-27 01:22:00,13005927MM10A,2013-03-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-03-26,2013-03-27,3,0,1101,0,0,0 +1909,carl feest,carl,feest,2013-10-05,Male,1959-01-06,57,Greater than 45,Caucasian,0,2,0,0,0,0,2013-10-05 03:02:31,2013-10-06 08:39:57,13018963MM10A,2013-10-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-05,Risk of Violence,2,Low,2013-10-05,2013-10-05,2013-10-06,0,1,909,0,0,0 +1913,malcom mckenzie,malcom,mckenzie,2014-03-25,Male,1995-01-26,21,Less than 25,African-American,0,4,0,0,0,-1,2014-03-24 07:15:06,2014-03-25 01:35:56,14004184CF10A,2014-03-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-25,Risk of Violence,6,Medium,2014-03-25,2014-03-24,2014-03-25,0,0,738,0,0,0 +1914,roshod graham,roshod,graham,2013-11-27,Male,1993-12-28,22,Less than 25,African-American,0,5,0,0,0,-1,2013-11-26 06:06:07,2013-12-31 07:52:49,13016491CF10A,2013-11-26,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-27,Risk of Violence,7,Medium,2013-11-27,2015-06-02,2015-07-03,0,34,552,0,0,0 +1916,darren lowder,darren,lowder,2013-06-17,Female,1961-08-26,54,Greater than 45,Caucasian,0,2,0,0,1,-95,2013-03-14 04:18:49,2013-05-29 04:45:59,13003730CF10A,2013-03-14,,95,F,Battery Emergency Care Provide,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-17,Risk of Violence,2,Low,2013-06-17,2013-03-14,2013-05-29,1,0,1019,0,0,0 +1917,william maloy,william,maloy,2013-10-21,Male,1957-08-03,58,Greater than 45,Caucasian,0,3,0,0,2,-9,2013-10-12 08:52:39,2013-10-17 04:51:37,13014297CF10A,2013-10-12,,9,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-21,Risk of Violence,2,Low,2013-10-21,2013-10-12,2013-10-17,2,0,893,0,0,0 +1924,kadarell collins,kadarell,collins,2014-07-09,Male,1996-01-01,20,Less than 25,African-American,0,10,0,0,0,-1,2014-07-08 02:25:20,2015-02-02 06:30:23,14009374CF10A,2014-07-08,,1,F,Burglary Unoccupied Dwelling,1,15008251CF10A,(F3),0,2015-06-26,False Imprisonment,2015-06-26,2015-11-10,,1,15008251CF10A,(M1),2015-06-26,Battery,Risk of Recidivism,10,High,2014-07-09,Risk of Violence,10,High,2014-07-09,2015-06-26,2015-11-10,0,208,352,1,1,1 +1925,roylon coppin,roylon,coppin,2013-01-06,Male,1975-06-21,40,25 - 45,Other,0,1,0,0,0,-1,2013-01-05 08:58:58,2013-01-06 01:15:19,13000258MM10A,2013-01-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2013-01-05,2013-01-06,0,0,1181,0,0,0 +1926,brenda izzo,brenda,izzo,2013-07-02,Female,1970-06-30,45,Greater than 45,Caucasian,0,2,0,0,5,-1,2013-07-01 03:16:14,2013-07-01 07:50:03,13012569MM10A,2013-06-30,,2,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-02,Risk of Violence,2,Low,2013-07-02,2013-07-01,2013-07-01,5,0,1004,0,0,0 +1928,ivan dejesus,ivan,dejesus,2013-09-20,Male,1993-04-08,23,Less than 25,Hispanic,0,9,0,0,4,-27,2013-08-24 04:52:55,2013-09-20 11:57:40,13011932CF10A,2013-08-24,,27,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-20,Risk of Violence,8,High,2013-09-20,2014-04-22,2014-04-29,4,0,214,0,0,0 +1930,hope avery,hope,avery,2013-04-17,Female,1962-06-17,53,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-04-16 09:32:04,2013-04-17 09:11:10,13007394MM10A,2013-04-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2013-04-16,2013-04-17,1,0,1080,0,0,0 +1931,lloyd kapell,lloyd,kapell,2014-02-07,Male,1971-10-01,44,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-06 09:12:43,2014-02-08 09:33:59,14001700CF10A,2014-02-06,,1,M,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-07,Risk of Violence,1,Low,2014-02-07,2014-02-06,2014-02-08,0,1,784,0,0,0 +1938,heidi mione,heidi,mione,2013-04-09,Female,1972-01-28,44,25 - 45,Caucasian,0,5,0,0,1,-6,2013-04-03 11:25:15,2013-04-08 08:29:22,13006437MM10A,2013-04-03,,6,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-09,Risk of Violence,2,Low,2013-04-09,2014-06-16,2014-06-16,1,0,433,0,0,0 +1941,brian spurgin,brian,spurgin,2013-08-07,Male,1987-05-11,28,25 - 45,African-American,0,1,0,0,0,0,2013-08-07 02:46:35,2013-08-07 07:56:41,13014913MM10A,2013-08-06,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,2,Low,2013-08-07,2013-08-07,2013-08-07,0,0,968,0,0,0 +1942,rainel garciacoto,rainel,garciacoto,2013-02-13,Male,1987-05-04,28,25 - 45,Caucasian,0,1,0,0,2,-1,2013-02-12 03:30:44,2013-02-13 08:00:37,13003124MM10A,2013-02-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,2,Low,2013-02-13,2013-02-12,2013-02-13,2,0,1143,0,0,0 +1945,leon glen,leon,glen,2013-08-09,Male,1988-01-14,28,25 - 45,African-American,0,2,0,0,0,0,2013-08-09 12:26:04,2013-08-09 08:35:47,13011148CF10A,2013-08-08,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-09,Risk of Violence,3,Low,2013-08-09,2013-08-09,2013-08-09,0,0,966,0,0,0 +1948,william carlisle,william,carlisle,2013-02-05,Male,1962-10-01,53,Greater than 45,Caucasian,0,1,0,0,4,0,2013-02-05 01:15:32,2013-02-05 01:07:11,13001750CF10A,2013-02-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-06-14,2013-06-15,4,0,129,0,0,0 +1949,miguel arango,miguel,arango,2013-03-28,Male,1968-09-28,47,Greater than 45,Hispanic,0,5,0,0,1,-1,2013-03-27 10:42:36,2013-09-27 09:55:14,12007727CF10A,,2013-03-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-28,Risk of Violence,3,Low,2013-03-28,2013-03-27,2013-09-27,1,183,1100,0,0,0 +1951,javionne floyd,javionne,floyd,2014-03-27,Male,1995-05-06,20,Less than 25,African-American,0,3,0,0,1,-24,2014-03-03 02:12:12,2014-03-04 08:49:31,14002997CF10A,2014-03-03,,24,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-27,Risk of Violence,5,Medium,2014-03-27,2014-03-03,2014-03-04,1,0,736,0,0,0 +1952,jason vallmyr,jason,vallmyr,2013-12-05,Male,1995-03-10,21,Less than 25,African-American,0,6,0,0,0,-6,2013-11-29 12:22:02,2013-11-29 12:51:37,13022298MM10A,2013-11-28,,7,M,Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-05,Risk of Violence,6,Medium,2013-12-05,2013-11-29,2013-11-29,0,0,848,0,0,0 +1955,richard carino,richard,carino,2013-05-07,Male,1956-03-24,60,Greater than 45,Hispanic,0,1,0,0,1,-18,2013-04-19 09:31:28,2013-05-07 10:46:55,13005608CF10A,2013-04-19,,18,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2013-04-19,2013-05-07,1,0,1060,0,0,0 +1957,yoandy vidal,yoandy,vidal,2013-05-11,Male,1986-04-10,30,25 - 45,Caucasian,0,1,0,0,0,-1,2013-05-10 09:23:33,2013-05-11 06:40:57,13009093MM10A,2013-05-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-11,Risk of Violence,2,Low,2013-05-11,2013-05-10,2013-05-11,0,0,1056,0,0,0 +1965,anthony donaldson,anthony,donaldson,2014-10-20,Female,1989-10-06,26,25 - 45,African-American,0,9,0,0,5,-1,2014-10-19 08:39:38,2014-10-26 04:44:30,14014117CF10A,2014-10-19,,1,F,Poss Pyrrolidinovalerophenone,1,15001313CF10A,(F3),,2015-01-28,Introduce Contraband Into Jail,,,,1,15001313CF10A,(F1),2015-01-28,Robbery W/Firearm,Risk of Recidivism,9,High,2014-10-20,Risk of Violence,6,Medium,2014-10-20,2014-10-19,2014-10-26,5,6,100,1,1,1 +1966,diego bruna,diego,bruna,2013-09-08,Male,1994-07-05,21,Less than 25,Hispanic,0,5,0,0,0,-1,2013-09-07 11:52:57,2013-09-09 02:51:42,13012668CF10A,2013-09-07,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-08,Risk of Violence,5,Medium,2013-09-08,2013-09-07,2013-09-09,0,1,936,0,0,0 +1967,rachael small,rachael,small,2013-03-07,Female,1976-09-25,39,25 - 45,African-American,0,2,0,0,1,-1,2013-03-06 10:19:56,2013-03-07 01:54:02,12009076CF10A,,2013-03-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-07,Risk of Violence,1,Low,2013-03-07,2016-04-11,2020-01-01,1,0,1131,0,0,0 +1968,mariot severe,mariot,severe,2013-02-25,Male,1985-06-30,30,25 - 45,Other,0,2,0,0,0,-1,2013-02-24 08:50:29,2013-03-02 06:34:47,13002818CF10A,2013-02-24,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,2013-02-24,2013-03-02,0,5,1131,0,0,0 +1971,emanuel scott,emanuel,scott,2013-09-16,Male,1972-01-14,44,25 - 45,African-American,0,5,0,0,2,-1,2013-09-15 02:38:49,2013-09-17 07:18:54,13009901CF10A,,2013-09-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-16,Risk of Violence,2,Low,2013-09-16,2015-05-27,2015-06-07,2,1,618,0,0,0 +1972,philip dubicki,philip,dubicki,2013-09-08,Male,1970-10-15,45,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-09-07 09:24:01,2013-09-10 08:25:31,13017061MM10A,2013-09-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-08,Risk of Violence,2,Low,2013-09-08,2013-09-07,2013-09-10,0,2,936,0,0,0 +1974,jamal brown,jamal,brown,2013-09-10,Male,1986-01-17,30,25 - 45,African-American,0,1,0,0,1,-1,2013-09-09 09:55:03,2013-09-10 07:42:41,13012735CF10A,2013-09-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,2,Low,2013-09-10,2015-07-26,2015-07-30,1,0,684,0,0,0 +1975,kelvin nguyen,kelvin,nguyen,2013-12-03,Male,1978-02-27,38,25 - 45,Asian,0,1,0,0,2,0,2013-12-03 05:13:10,2013-12-11 11:56:18,13016734CF10A,2013-12-03,,0,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2013-12-03,2013-12-11,2,8,850,0,0,0 +1980,derrick williamson,derrick,williamson,2013-10-09,Male,1978-07-11,37,25 - 45,African-American,0,4,0,0,1,-139,2013-05-23 01:57:09,2013-06-28 05:54:52,13007371CF10A,2013-05-22,,140,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-09,Risk of Violence,4,Low,2013-10-09,2013-05-23,2013-06-28,1,0,905,0,0,0 +1982,haryidial lall,haryidial,lall,2013-12-26,Male,1970-01-19,46,Greater than 45,Asian,0,1,0,0,0,-1,2013-12-25 09:48:26,2013-12-26 01:21:51,13023752MM10A,2013-12-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-26,Risk of Violence,1,Low,2013-12-26,2013-12-25,2013-12-26,0,0,827,0,0,0 +1983,ricardo quinones,ricardo,quinones,2013-12-20,Male,1973-08-31,42,25 - 45,African-American,0,1,0,0,0,-1,2013-12-19 12:18:58,2013-12-20 08:03:46,13017540CF10A,2013-12-19,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-20,Risk of Violence,1,Low,2013-12-20,2013-12-19,2013-12-20,0,0,833,0,0,0 +1985,lawrence bocksey,lawrence,bocksey,2013-07-15,Male,1950-07-02,65,Greater than 45,Caucasian,0,1,0,0,2,-84,2013-04-22 03:17:28,2013-04-26 05:56:36,13007802MM10A,2013-05-16,,60,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-15,Risk of Violence,1,Low,2013-07-15,2013-04-22,2013-04-26,2,0,991,0,0,0 +1987,michael armenti,michael,armenti,2013-02-11,Male,1962-04-04,54,Greater than 45,Caucasian,0,2,0,0,4,-1,2013-02-10 05:05:00,2013-02-13 09:32:59,13002939MM10A,2013-02-10,,1,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-13,4,2,1145,0,0,0 +1994,eric toledo,eric,toledo,2014-06-08,Male,1987-02-28,29,25 - 45,Caucasian,0,10,0,0,7,-1,2014-06-07 01:31:38,2014-06-08 08:07:43,14009029MM10A,2014-06-06,,2,M,Battery,1,14010274CF10A,(F2),0,2014-07-28,Aggrav Battery w/Deadly Weapon,2014-07-28,2014-08-23,,1,14010274CF10A,(F2),2014-07-28,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2014-06-08,Risk of Violence,7,Medium,2014-06-08,2014-07-28,2014-08-23,7,0,50,1,1,1 +1995,dino salerno,dino,salerno,2013-03-21,Male,1964-09-03,51,Greater than 45,Caucasian,0,1,0,0,7,-1,2013-03-20 03:05:46,2013-04-04 01:57:07,13004020CF10A,2013-03-20,,1,F,Burglary Conveyance Unoccup,1,13005785CF10A,(F1),0,2013-04-22,Falsely Personating Officer,2013-04-22,2013-12-18,,1,13005785CF10A,(M1),2013-04-22,Battery,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-04-22,2013-12-18,7,14,32,1,1,1 +1999,melton mustafa,melton,mustafa,2013-03-04,Male,1972-01-17,44,25 - 45,African-American,0,1,0,0,0,0,2013-03-04 05:50:37,2013-03-04 08:33:41,13004436MM10A,2013-03-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-04,2013-03-04,0,0,1124,0,0,0 +2002,john walsh,john,walsh,2013-03-04,Male,1967-02-04,49,Greater than 45,Caucasian,0,5,0,0,12,-24,2013-02-08 10:08:21,2013-03-02 01:59:17,13002878MM10A,2013-02-08,,24,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-04-25,2013-04-28,12,0,52,0,0,0 +2010,leanord anderson,leanord,anderson,2014-02-17,Male,1988-07-22,27,25 - 45,African-American,0,3,0,0,0,-1,2014-02-16 01:43:32,2014-02-17 07:58:42,14002686MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-17,Risk of Violence,3,Low,2014-02-17,2014-02-16,2014-02-17,0,0,774,0,0,0 +2014,eric blue,eric,blue,2013-09-25,Male,1986-01-30,30,25 - 45,Caucasian,0,2,0,0,0,-1,2013-09-24 03:13:59,2013-09-24 08:14:17,13013423CF10A,2013-09-24,,1,M,DUI - Property Damage/Personal Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-25,Risk of Violence,1,Low,2013-09-25,2013-09-24,2013-09-24,0,0,919,0,0,0 +2018,andrew medley,andrew,medley,2013-01-24,Male,1994-01-03,22,Less than 25,African-American,0,10,3,1,6,,,,12017104CF10A,,2012-11-22,63,F,arrest case no charge,1,14007482CF10A,(F2),,2013-06-21,Aggrav Battery w/Deadly Weapon,,,,1,14007482CF10A,(F2),2013-06-21,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2013-01-24,Risk of Violence,10,High,2013-01-24,,,6,0,148,1,1,1 +2020,nelson cajas,nelson,cajas,2013-10-30,Male,1988-01-07,28,25 - 45,Hispanic,0,7,0,0,11,0,2013-10-30 04:01:31,2013-10-31 03:20:00,13020499MM10A,2013-10-30,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-30,Risk of Violence,7,Medium,2013-10-30,2015-08-12,2015-08-20,11,1,651,0,0,0 +2021,sam wu,sam,wu,2014-03-12,Male,1970-06-05,45,Greater than 45,Other,0,1,0,0,0,-1,2014-03-11 04:52:30,2014-03-12 08:48:41,14004229MM10A,2014-03-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-12,Risk of Violence,1,Low,2014-03-12,2014-03-11,2014-03-12,0,0,751,0,0,0 +2024,deborah lachance,deborah,lachance,2013-08-12,Female,1965-03-03,51,Greater than 45,Caucasian,0,5,0,0,5,0,2013-08-12 11:55:55,2013-09-14 05:58:00,13011336CF10A,,2013-08-12,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-12,Risk of Violence,2,Low,2013-08-12,2013-08-12,2013-09-14,5,33,963,0,0,0 +2029,troy williams,troy,williams,2013-04-18,Male,1972-04-28,43,25 - 45,African-American,0,3,0,0,2,-1,2013-04-17 10:37:05,2013-04-23 10:16:03,11008772CF10A,,2013-04-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2014-07-11,2014-07-16,2,5,449,0,0,0 +2033,lenna lacey,lenna,lacey,2013-11-25,Female,1953-02-02,63,Greater than 45,African-American,0,4,0,0,1,,,,06007045CF10A,2005-12-15,,2902,F,Exploit Elderly Person 20-100K,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,,,1,0,858,0,0,0 +2034,joshua mason,joshua,mason,2013-08-13,Male,1978-06-04,37,25 - 45,Caucasian,0,2,0,0,2,-1,2013-08-12 08:43:05,2013-08-13 08:22:25,13011313CF10A,2013-08-12,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2013-08-12,2013-08-13,2,0,962,0,0,0 +2037,eric wardlaw,eric,wardlaw,2013-08-22,Male,1990-01-06,26,25 - 45,African-American,0,2,0,0,0,-1,2013-08-21 09:03:22,2013-08-22 08:18:17,13015967MM10A,2013-08-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-22,Risk of Violence,3,Low,2013-08-22,2013-08-21,2013-08-22,0,0,953,0,0,0 +2038,krishna bahadosingh,krishna,bahadosingh,2013-03-08,Male,1983-12-05,32,25 - 45,Other,0,3,0,0,4,0,2013-03-08 12:04:54,2013-03-08 02:03:36,13003416CF10A,2013-03-07,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-08,Risk of Violence,2,Low,2013-03-08,2013-03-08,2013-03-08,4,0,1120,0,0,0 +2040,marvel torres,marvel,torres,2013-05-29,Male,1977-01-02,39,25 - 45,Hispanic,0,4,0,0,3,-21,2013-05-08 10:08:57,2013-05-22 07:51:07,13002890CF10A,,2013-05-08,21,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-08,2013-05-22,3,0,1038,0,0,0 +2042,melinda delions,melinda,delions,2013-12-05,Female,1957-12-05,58,Greater than 45,African-American,0,1,0,0,4,-1,2013-12-04 02:04:11,2013-12-05 09:54:31,13016783CF10A,2013-12-04,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2013-12-04,2013-12-05,4,0,848,0,0,0 +2044,nicholas kerlew,nicholas,kerlew,2013-03-11,Male,1982-09-18,33,25 - 45,Other,0,2,0,0,0,-1,2013-03-10 04:24:37,2013-03-11 01:32:37,13004816MM10A,2013-03-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-11,Risk of Violence,3,Low,2013-03-11,2013-03-10,2013-03-11,0,0,1117,0,0,0 +2045,alyssa verola,alyssa,verola,2013-10-31,Female,1993-05-05,22,Less than 25,Caucasian,0,3,0,1,1,-22,2013-10-09 01:32:37,2013-10-09 06:32:48,13019125MM10A,2013-10-09,,22,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-31,Risk of Violence,4,Low,2013-10-31,2013-10-09,2013-10-09,1,0,883,0,0,0 +2052,bryan berry,bryan,berry,2013-11-14,Male,1972-09-30,43,25 - 45,Caucasian,0,1,0,0,2,-10,2013-11-04 09:10:03,2013-11-06 06:20:54,13015394CF10A,,2013-11-04,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-04,2013-11-06,2,0,869,0,0,0 +2053,jeff rosemberg,jeff,rosemberg,2013-05-10,Male,1993-04-19,23,Less than 25,African-American,0,7,0,0,0,-1,2013-05-09 10:04:43,2013-05-10 08:01:13,13008990MM10A,2013-05-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-10,Risk of Violence,6,Medium,2013-05-10,2013-05-09,2013-05-10,0,0,1057,0,0,0 +2054,greymi rosa,greymi,rosa,2014-02-25,Male,1991-03-26,25,25 - 45,Caucasian,0,2,0,0,0,-1,2014-02-24 07:11:53,2014-02-25 08:52:44,14002604CF10A,2014-02-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-25,Risk of Violence,4,Low,2014-02-25,2014-02-24,2014-02-25,0,0,766,0,0,0 +2055,jervon jarrett,jervon,jarrett,2013-12-19,Male,1993-06-29,22,Less than 25,African-American,0,9,0,0,6,-1,2013-12-18 08:38:29,2013-12-19 08:44:42,13010115CF10A,,2013-12-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-19,Risk of Violence,9,High,2013-12-19,2015-01-28,2015-03-07,6,0,405,0,0,0 +2056,timothy bass,timothy,bass,2013-01-19,Male,1986-02-20,30,25 - 45,African-American,0,4,0,0,6,-1,2013-01-18 10:56:13,2013-06-01 02:07:27,13000882CF10A,2013-01-18,,1,F,Poss of Methylethcathinone,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-19,Risk of Violence,4,Low,2013-01-19,2013-01-18,2013-06-01,6,133,1168,0,0,0 +2057,christopher denis,christopher,denis,2013-03-14,Male,1991-01-15,25,25 - 45,African-American,0,9,3,1,15,-1,2013-03-13 05:33:27,2013-03-15 05:42:00,13003713CF10A,2013-03-13,,1,F,"Poss3,4 Methylenedioxymethcath",1,14004265CF10A,(F1),,2013-08-08,Aggrav Child Abuse-Agg Battery,,,,1,14004265CF10A,(F1),2013-08-08,Aggrav Child Abuse-Agg Battery,Risk of Recidivism,9,High,2013-03-14,Risk of Violence,7,Medium,2013-03-14,2013-03-13,2013-03-15,15,1,147,1,1,1 +2059,jaircinio munoz,jaircinio,munoz,2013-09-10,Male,1976-05-20,39,25 - 45,Hispanic,0,1,0,0,0,-1,2013-09-09 09:26:40,2013-09-10 07:41:44,13012730CF10A,2013-09-09,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-10,0,0,934,0,0,0 +2062,edward horton,edward,horton,2013-03-17,Male,1956-11-01,59,Greater than 45,African-American,0,4,0,0,1,-1,2013-03-16 07:33:09,2013-03-17 01:48:47,13003849CF10A,2013-03-16,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-17,Risk of Violence,1,Low,2013-03-17,2013-03-16,2013-03-17,1,0,1111,0,0,0 +2063,ivan gomez,ivan,gomez,2013-09-06,Male,1995-02-20,21,Less than 25,Hispanic,0,9,0,2,1,-8,2013-08-29 09:50:39,2013-08-31 06:13:37,13012227CF10A,,2013-08-29,8,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-06,Risk of Violence,8,High,2013-09-06,2013-08-29,2013-08-31,1,0,938,0,0,0 +2065,wayne zafir,wayne,zafir,2013-02-17,Male,1982-04-08,34,25 - 45,Caucasian,0,2,0,0,2,-1,2013-02-16 05:53:02,2013-02-17 07:51:42,11004179MO10A,,2013-02-16,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-17,Risk of Violence,2,Low,2013-02-17,2013-02-16,2013-02-17,2,0,1139,0,0,0 +2066,loren moscovich,loren,moscovich,2013-04-19,Male,1979-07-21,36,25 - 45,Caucasian,0,4,0,0,6,-25,2013-03-25 01:15:03,2013-03-25 08:01:36,13004269CF10A,2013-03-24,,26,F,Possession Of Buprenorphine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-03-25,2013-03-25,6,0,1078,0,0,0 +2069,cortez harris,cortez,harris,2013-01-30,Male,1993-02-09,23,Less than 25,African-American,0,3,0,0,0,-1,2013-01-29 05:36:47,2013-01-30 07:49:51,13001436CF10A,2013-01-29,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-30,Risk of Violence,5,Medium,2013-01-30,2014-01-30,2014-05-27,0,0,365,0,0,0 +2070,leoplean price,leoplean,price,2013-01-21,Male,1983-08-19,32,25 - 45,African-American,0,8,0,0,2,0,2013-01-21 02:06:58,2013-05-10 08:38:41,12010556MM10A,,2013-01-21,0,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-21,Risk of Violence,5,Medium,2013-01-21,2013-01-21,2013-05-10,2,109,1166,0,0,0 +2072,susan scarlette,susan,scarlette,2013-04-29,Female,1949-07-06,66,Greater than 45,Caucasian,0,1,0,0,1,-46,2013-03-14 02:52:45,2013-04-11 07:51:43,13005079MM10A,2013-03-14,,46,M,Tresspass Struct/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-03-14,2013-04-11,1,0,1068,0,0,0 +2074,waldren wright,waldren,wright,2014-03-06,Male,1949-09-24,66,Greater than 45,Other,0,1,0,0,0,-1,2014-03-05 02:20:03,2014-03-06 10:24:47,14003104CF10A,2014-03-05,,1,M,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-06,Risk of Violence,1,Low,2014-03-06,2014-03-05,2014-03-06,0,0,757,0,0,0 +2075,justine woodward,justine,woodward,2013-05-20,Female,1991-11-21,24,Less than 25,Caucasian,0,6,0,0,0,-1,2013-05-19 07:00:07,2013-06-12 01:57:48,13009851MM10A,2013-05-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-20,Risk of Violence,4,Low,2013-05-20,2013-05-19,2013-06-12,0,23,1047,0,0,0 +2077,issac tisdale,issac,tisdale,2013-03-15,Male,1987-10-18,28,25 - 45,African-American,0,7,0,0,1,-1,2013-03-14 08:59:25,2013-03-16 05:45:01,13005067MM10A,2013-03-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-15,Risk of Violence,3,Low,2013-03-15,2013-03-14,2013-03-16,1,1,1113,0,0,0 +2078,robert maldonado,robert,maldonado,2014-06-29,Male,1972-07-15,43,25 - 45,Caucasian,0,5,0,0,4,0,2014-06-29 03:34:28,2014-07-01 05:12:10,14008946CF10A,2014-06-29,,0,F,Burglary Dwelling Occupied,1,16001796MM10A,(M1),,2015-12-30,Stalking,,,,1,15016619CF10A,(F3),2015-12-30,Stalking (Aggravated),Risk of Recidivism,5,Medium,2014-06-29,Risk of Violence,2,Low,2014-06-29,2014-06-29,2014-07-01,4,2,549,1,1,1 +2079,jameson hinzey,jameson,hinzey,2013-12-28,Male,1980-08-07,35,25 - 45,African-American,0,2,0,0,3,-1,2013-12-27 03:35:30,2014-01-07 10:11:46,13023882MM10A,2013-12-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-28,Risk of Violence,2,Low,2013-12-28,2013-12-27,2014-01-07,3,10,825,0,0,0 +2085,jeff fendt,jeff,fendt,2014-04-21,Male,1982-06-27,33,25 - 45,Caucasian,0,2,0,0,0,,,,14005492CF10A,2014-04-19,,2,F,Poss Alprazolam W/int Sell/Del,1,14011779MM10A,(M1),,2014-06-28,Battery,,,,1,14011779MM10A,(M1),2014-06-28,Battery,Risk of Recidivism,2,Low,2014-04-21,Risk of Violence,2,Low,2014-04-21,,,0,0,68,1,1,1 +2087,dominick jenkins,dominick,jenkins,2013-12-13,Male,1993-10-10,22,Less than 25,African-American,0,6,0,0,1,-1,2013-12-12 03:05:58,2013-12-16 05:21:20,13023024MM10A,2013-12-12,,1,M,Battery,1,14003076MM10A,(M1),,2014-02-21,Battery,,,,1,14003076MM10A,(M1),2014-02-21,Battery,Risk of Recidivism,6,Medium,2013-12-13,Risk of Violence,7,Medium,2013-12-13,2013-12-12,2013-12-16,1,3,70,1,1,1 +2089,brian cunningham,brian,cunningham,2013-01-20,Male,1986-11-22,29,25 - 45,African-American,0,1,0,0,0,0,2013-01-20 01:46:36,2013-01-20 12:12:09,13000911CF10A,2013-01-19,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-20,Risk of Violence,2,Low,2013-01-20,2013-01-20,2013-01-20,0,0,1167,0,0,0 +2090,loreia nelson,loreia,nelson,2014-02-15,Female,1993-03-02,23,Less than 25,African-American,0,4,0,0,0,-1,2014-02-14 02:04:23,2014-02-16 03:42:24,14002620MM10A,2014-02-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-15,Risk of Violence,5,Medium,2014-02-15,2014-02-14,2014-02-16,0,1,776,0,0,0 +2091,willie brown,willie,brown,2013-10-03,Male,1953-04-27,62,Greater than 45,African-American,0,9,0,0,15,-36,2013-08-28 06:07:53,2013-10-03 12:14:08,13012257CF10A,,2013-08-29,35,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-03,Risk of Violence,9,High,2013-10-03,2013-08-28,2013-10-03,15,0,911,0,0,0 +2093,deanna dye,deanna,dye,2013-07-29,Female,1983-01-02,33,25 - 45,Caucasian,0,2,0,0,0,-2,2013-07-27 02:32:45,2013-07-28 02:02:00,13014224MM10A,2013-07-26,,3,M,Offer Agree Secure For Lewd Act,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-09-14,2013-09-15,0,0,47,0,0,0 +2094,hassan baker,hassan,baker,2013-01-31,Male,1981-01-02,35,25 - 45,African-American,0,4,0,0,1,0,2013-01-31 12:15:06,2013-01-31 08:06:24,13002170MO10A,2013-01-30,,1,M,Prostitution/Lewdness/Assign,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-31,Risk of Violence,2,Low,2013-01-31,2013-01-31,2013-01-31,1,0,1156,0,0,0 +2095,jamie rosen,jamie,rosen,2013-05-05,Male,1963-04-12,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-05 06:01:13,2013-05-05 07:11:34,13006441CF10A,2013-05-05,,0,F,Possession Of Alprazolam,1,15011038CF10A,(F3),0,2015-08-26,Possession of Oxycodone,2015-08-26,2015-08-26,,0,,,,,Risk of Recidivism,1,Low,2013-05-05,Risk of Violence,1,Low,2013-05-05,2015-08-26,2015-08-26,0,0,843,0,0,0 +2098,teresa lliteras,teresa,lliteras,2013-04-11,Female,1967-10-21,48,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-10 12:13:15,2013-04-11 01:05:57,13006984MM10A,2013-04-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-11,Risk of Violence,1,Low,2013-04-11,2013-04-10,2013-04-11,0,0,1086,0,0,0 +2099,mamose florial,mamose,florial,2013-02-04,Female,1983-04-18,33,25 - 45,African-American,0,2,0,0,1,-10,2013-01-25 11:03:35,2013-01-26 08:47:49,13001266CF10A,2013-01-25,,10,F,Neglect Child / Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-01-25,2013-01-26,1,0,1152,0,0,0 +2100,james shupe,james,shupe,2013-04-29,Male,1971-10-29,44,25 - 45,Caucasian,0,1,0,0,0,0,2013-04-29 02:46:23,2013-04-30 03:52:16,13018330TC10A,2013-04-29,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-29,2013-04-30,0,1,1068,0,0,0 +2104,adlai goulbourne,adlai,goulbourne,2014-02-20,Male,1959-05-03,56,Greater than 45,Other,0,1,0,0,9,-147,2013-09-26 11:51:00,2014-02-12 10:41:00,13013562CF10A,2013-09-26,,147,F,Trespass Structure w/Dang Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-20,Risk of Violence,1,Low,2014-02-20,2013-09-26,2014-02-12,9,0,771,0,0,0 +2105,agustin perez-vidal,agustin,perez-vidal,2013-02-14,Male,1964-12-14,51,Greater than 45,Hispanic,0,1,0,0,1,-18,2013-01-27 07:54:35,2013-02-13 09:34:33,13001339CF10A,2013-01-27,,18,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2015-03-18,2016-04-11,1,0,762,0,0,0 +2108,carlos campo,carlos,campo,2013-10-27,Male,1994-12-01,21,Less than 25,Hispanic,0,7,0,0,0,0,2013-10-27 02:30:11,2013-10-27 08:17:23,13015005CF10A,2013-10-26,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-27,Risk of Violence,6,Medium,2013-10-27,2014-03-05,2014-03-13,0,0,129,0,0,0 +2109,louis sells,louis,sells,2013-01-02,Male,1989-05-17,26,25 - 45,Caucasian,0,5,0,0,0,0,2013-01-02 07:21:57,2013-01-02 07:31:59,13000096CF10A,2013-01-02,,0,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-02,Risk of Violence,4,Low,2013-01-02,2013-01-02,2013-01-02,0,0,1185,0,0,0 +2110,antwane jones,antwane,jones,2013-09-29,Male,1994-01-02,22,Less than 25,African-American,0,9,3,0,3,0,2013-09-29 03:40:47,2013-09-29 06:47:56,13013659CF10A,2013-09-29,,0,F,Possession of Benzylpiperazine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-29,Risk of Violence,10,High,2013-09-29,2013-09-29,2013-09-29,3,0,915,0,0,0 +2111,troy gayle,troy,gayle,2013-03-27,Male,1986-11-19,29,25 - 45,African-American,0,2,0,0,0,-1,2013-03-26 07:25:39,2013-03-27 11:45:55,13005919MM10A,2013-03-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-03-26,2013-03-27,0,0,1101,0,0,0 +2115,javier valdes,javier,valdes,2013-11-13,Male,1972-04-04,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-12 09:19:23,2013-11-13 08:07:52,13021311MM10A,2013-11-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-13,Risk of Violence,1,Low,2013-11-13,2013-11-12,2013-11-13,0,0,870,0,0,0 +2116,peter cunningham,peter,cunningham,2013-08-22,Male,1975-03-24,41,25 - 45,African-American,0,5,0,0,2,-1,2013-08-21 10:34:23,2013-09-05 09:41:59,11015633CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-22,Risk of Violence,3,Low,2013-08-22,2013-08-21,2013-09-05,2,14,953,0,0,0 +2121,ashley hannah,ashley,hannah,2013-11-08,Female,1987-10-16,28,25 - 45,African-American,0,4,0,1,4,0,2013-11-08 03:39:55,2013-11-08 09:33:05,13015575CF10A,2013-11-08,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-08,Risk of Violence,3,Low,2013-11-08,2013-11-08,2013-11-08,4,0,875,0,0,0 +2125,jason landress,jason,landress,2014-03-10,Male,1984-08-06,31,25 - 45,Caucasian,0,3,0,0,7,-1,2014-03-09 04:46:09,2014-03-10 09:42:05,14004057MM10A,2014-03-09,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-10,Risk of Violence,2,Low,2014-03-10,2014-03-09,2014-03-10,7,0,753,0,0,0 +2129,michael cedieu,michael,cedieu,2013-11-15,Male,1995-10-15,20,Less than 25,African-American,0,4,0,2,0,-1,2013-11-14 06:08:57,2013-11-15 08:54:29,13015856CF10A,2013-11-14,,1,F,Tampering With Physical Evidence,1,16000010MM30A,(M1),59,2015-12-19,Possess Cannabis/20 Grams Or Less,2016-02-16,2016-02-17,,1,16002340CF10A,(F2),2016-02-22,Agg Fleeing/Eluding High Speed,Risk of Recidivism,4,Low,2013-11-15,Risk of Violence,7,Medium,2013-11-15,2014-03-12,2014-03-12,0,0,117,0,0,0 +2131,tholome johnson,tholome,johnson,2013-02-27,Male,1979-11-15,36,25 - 45,African-American,0,8,0,0,0,0,2013-02-27 01:25:04,2013-02-28 04:12:46,13002940CF10A,2013-02-27,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-27,Risk of Violence,2,Low,2013-02-27,2013-02-27,2013-02-28,0,1,1129,0,0,0 +2134,willis barnes,willis,barnes,2013-08-14,Male,1992-09-08,23,Less than 25,African-American,1,9,0,0,1,-1,2013-08-13 04:31:54,2013-08-18 04:39:19,13015313MM10A,2013-08-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-14,Risk of Violence,9,High,2013-08-14,2013-08-13,2013-08-18,1,4,961,0,0,0 +2140,rose mosco,rose,mosco,2013-03-01,Female,1956-08-30,59,Greater than 45,Caucasian,0,1,0,0,1,-21,2013-02-08 08:25:17,2013-02-13 09:36:45,13002086CF10A,2013-02-08,,21,F,Grand Theft in the 1st Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2015-10-22,2015-10-29,1,0,965,0,0,0 +2141,ricardo britt,ricardo,britt,2013-04-26,Male,1978-04-24,37,25 - 45,Caucasian,0,2,0,0,0,-4,2013-04-22 02:29:12,2013-04-23 03:38:43,13005777CF10A,2013-04-21,,5,F,Cruelty Toward Child,1,13013838MM10A,(M1),1,2013-07-20,Viol Pretrial Release Dom Viol,2013-07-21,2013-08-05,,1,15001691CF10A,(F3),2015-02-04,Felony Battery w/Prior Convict,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,1,Low,2013-04-26,2015-02-04,2015-04-06,0,0,85,1,1,1 +2147,german valerio,german,valerio,2013-10-03,Male,1984-09-21,31,25 - 45,African-American,0,2,0,0,0,-1,2013-10-02 06:36:42,2013-10-03 08:18:14,13013855CF10A,2013-10-02,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-03,Risk of Violence,4,Low,2013-10-03,2013-10-02,2013-10-03,0,0,911,0,0,0 +2148,stephanie hay,stephanie,hay,2014-07-13,Female,1977-05-19,38,25 - 45,African-American,0,10,0,0,14,-1,2014-07-12 06:46:27,2014-07-17 05:29:07,14009547CF10A,2014-07-12,,1,F,Possession of Cocaine,1,15001666CF10A,(F3),0,2015-02-05,Battery on a Person Over 65,2015-02-05,2015-05-18,,1,15001666CF10A,(F3),2015-02-05,Battery on a Person Over 65,Risk of Recidivism,10,High,2014-07-13,Risk of Violence,3,Low,2014-07-13,2014-08-11,2014-09-12,14,4,29,0,1,1 +2150,tyrell wright,tyrell,wright,2014-08-29,Male,1988-06-20,27,25 - 45,African-American,0,8,0,0,3,-1,2014-08-28 12:41:52,2014-08-29 01:55:31,14011761CF10A,2014-08-28,,1,F,Grand Theft in the 3rd Degree,1,14015178MM10A,(M1),0,2014-10-18,Battery,2014-10-18,2014-10-26,,1,14015178MM10A,(M1),2014-10-18,Battery,Risk of Recidivism,8,High,2014-08-29,Risk of Violence,6,Medium,2014-08-29,2014-10-18,2014-10-26,3,0,50,1,1,1 +2152,nikeisha porter,nikeisha,porter,2013-11-26,Female,1974-01-16,42,25 - 45,African-American,0,2,0,0,2,-1,2013-11-25 05:04:34,2013-11-26 09:36:13,13016423CF10A,2013-11-25,,1,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2013-11-25,2013-11-26,2,0,857,0,0,0 +2153,cortay wells,cortay,wells,2014-02-06,Male,1993-05-02,22,Less than 25,African-American,0,8,0,0,3,-1,2014-02-05 03:18:50,2014-03-03 08:00:17,14001653CF10A,2014-02-05,,1,F,Uttering a Forged Instrument,1,14005187CF10A,(F3),0,2014-04-13,Grand Theft Dwell Property,2014-04-13,2014-06-05,,1,16000123CF10A,(F3),2016-01-04,Aggravated Assault w/Firearm,Risk of Recidivism,8,High,2014-02-06,Risk of Violence,5,Medium,2014-02-06,2014-04-13,2014-06-05,3,25,66,1,1,1 +2154,romaine smith,romaine,smith,2013-03-01,Male,1995-01-17,21,Less than 25,Other,0,6,0,0,0,-1,2013-02-28 07:56:43,2013-03-02 05:27:36,13003060CF10A,2013-02-28,,1,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-01,Risk of Violence,8,High,2013-03-01,2013-02-28,2013-03-02,0,1,1127,0,0,0 +2155,carl haberstroh,carl,haberstroh,2013-09-24,Male,1958-07-10,57,Greater than 45,Caucasian,0,7,0,0,15,-32,2013-08-23 03:39:59,2013-09-12 10:31:00,07023637CF10A,,2013-08-23,32,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-24,Risk of Violence,3,Low,2013-09-24,2013-08-23,2013-09-12,15,0,920,0,0,0 +2159,patrick keane,patrick,keane,2013-05-09,Male,1963-06-20,52,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-05-08 02:05:44,2013-05-09 09:08:14,13006115MM10A,2013-03-29,,41,M,Tresspass Struct/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-09,Risk of Violence,1,Low,2013-05-09,2013-05-08,2013-05-09,2,0,1058,0,0,0 +2161,alfredo rasco,alfredo,rasco,2013-05-23,Male,1987-03-04,29,25 - 45,Caucasian,0,3,0,0,0,-1,2013-05-22 08:43:56,2013-05-23 08:01:27,13009896MM10A,2013-05-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-23,Risk of Violence,3,Low,2013-05-23,2013-05-22,2013-05-23,0,0,1044,0,0,0 +2162,reneca turner-davis,reneca,turner-davis,2013-01-24,Female,1978-09-30,37,25 - 45,African-American,0,4,0,0,0,0,2013-01-24 01:57:20,2013-01-29 05:24:05,13001704MM10A,2013-01-24,,0,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-01-24,2013-01-29,0,5,1163,0,0,0 +2163,lavinel zurz,lavinel,zurz,2013-04-14,Male,1981-06-19,34,25 - 45,Caucasian,0,2,0,1,0,-1,2013-04-13 09:32:38,2013-04-14 07:21:18,13005341CF10A,2013-04-13,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-14,Risk of Violence,1,Low,2013-04-14,2015-01-16,2015-01-22,0,0,642,0,0,0 +2165,parris brady,parris,brady,2013-01-24,Male,1963-01-20,53,Greater than 45,African-American,0,1,0,0,0,0,2013-01-24 03:10:35,2013-01-25 12:12:01,13001715MM10A,2013-01-23,,1,M,Battery,1,13012068MM10A,(M1),0,2013-06-24,Viol Pretrial Release Dom Viol,2013-06-24,2013-06-25,,1,13013714MM10A,(M1),2013-06-24,Battery,Risk of Recidivism,1,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2013-06-24,2013-06-25,0,1,151,1,1,1 +2168,christopher baptista,christopher,baptista,2013-08-23,Male,1980-09-20,35,25 - 45,Hispanic,0,3,0,0,0,-7,2013-08-16 04:54:32,2013-08-17 07:16:37,13015540MM10A,2013-08-16,,7,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-23,Risk of Violence,2,Low,2013-08-23,2014-11-26,2014-12-02,0,0,460,0,0,0 +2169,carlos ariastabima,carlos,ariastabima,2013-05-20,Male,1987-12-21,28,25 - 45,Caucasian,0,4,0,0,1,-1,2013-05-19 05:41:59,2013-05-23 12:31:34,13007152CF10A,2013-05-19,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-20,Risk of Violence,2,Low,2013-05-20,2013-05-19,2013-05-23,1,3,1047,0,0,0 +2170,timothy stevens,timothy,stevens,2013-04-30,Male,1994-07-09,21,Less than 25,African-American,0,8,0,0,1,-1,2013-04-29 10:52:26,2013-04-30 07:18:46,13006135CF10A,2013-04-29,,1,F,Grand Theft Dwell Property,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-30,Risk of Violence,9,High,2013-04-30,2013-04-29,2013-04-30,1,0,1067,0,0,0 +2171,leighton quarrie,leighton,quarrie,2013-11-20,Male,1994-04-06,22,Less than 25,African-American,0,7,0,0,1,13,2013-12-03 12:53:50,2014-01-16 03:17:58,13016082CF10A,2013-11-19,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-20,Risk of Violence,6,Medium,2013-11-20,2013-12-03,2014-01-16,1,0,13,0,0,0 +2176,paul chermak,paul,chermak,2013-10-29,Male,1974-03-24,42,25 - 45,Caucasian,0,3,0,0,1,-1,2013-10-28 08:04:32,2013-10-29 02:05:32,13020406MM10A,2013-10-28,,1,M,Battery,1,14003974CF10A,(F3),0,2014-03-20,Possession of Methadone,2014-03-20,2014-03-21,,1,14003974CF10A,(M1),2014-03-20,Battery,Risk of Recidivism,3,Low,2013-10-29,Risk of Violence,2,Low,2013-10-29,2014-03-20,2014-03-21,1,0,142,1,1,1 +2179,anthony jackson,anthony,jackson,2013-12-28,Male,1961-06-04,54,Greater than 45,African-American,0,1,0,0,9,0,2013-12-28 01:57:40,2013-12-29 02:05:51,01098533TC30A,,2003-03-16,3940,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,1,Low,2013-12-28,2013-12-28,2013-12-29,9,1,825,0,0,0 +2180,kory plummer,kory,plummer,2013-09-23,Male,1977-03-11,39,25 - 45,Other,0,2,0,0,1,-1,2013-09-22 10:25:30,2013-09-23 01:52:27,13013355CF10A,2013-09-22,,1,F,"Poss3,4 Methylenedioxymethcath",1,14006533MM10A,(M1),0,2014-03-26,Resist/Obstruct W/O Violence,2014-03-26,2014-04-29,,1,14004270CF10A,(M1),2014-03-26,Battery,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-12-11,2013-12-17,1,0,79,0,1,1 +2183,craig coleman,craig,coleman,2014-01-07,Male,1974-10-14,41,25 - 45,African-American,0,1,0,0,0,0,2014-01-07 04:31:06,2014-01-08 03:21:00,14000285MM10A,2014-01-07,,0,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-01-07,2014-01-08,0,1,815,0,0,0 +2186,herbert hawkins,herbert,hawkins,2013-02-11,Male,1972-12-26,43,25 - 45,Caucasian,0,2,0,0,1,-1,2013-02-10 09:37:38,2013-04-16 07:46:56,13002044CF10A,2013-02-10,,1,F,Felony Battery (Dom Strang),1,14013163CF10A,(F3),1,2014-09-28,Felony Battery w/Prior Convict,2014-09-29,2015-02-19,,1,14013163CF10A,(F3),2014-09-28,Felony Battery (Dom Strang),Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-10-06,2013-11-19,1,64,237,0,1,1 +2188,shaka ruddock,shaka,ruddock,2013-04-20,Male,1994-02-13,22,Less than 25,African-American,0,3,0,0,0,-1,2013-04-19 11:33:48,2013-04-20 01:40:27,13017081TC10A,2013-04-18,,2,M,Susp Drivers Lic 1st Offense,1,13026359TC10A,(M2),,2013-05-05,Driving License Suspended,,,,1,14002769CF10A,(F3),2014-02-27,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2014-02-27,2014-03-02,0,0,15,1,1,1 +2190,raul terrero,raul,terrero,2013-12-04,Male,1973-11-05,42,25 - 45,Hispanic,0,5,0,0,3,,,,13038758TC10A,2013-08-26,,100,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-04,Risk of Violence,3,Low,2013-12-04,,,3,0,849,0,0,0 +2194,tawana williams,tawana,williams,2013-01-25,Female,1973-07-14,42,25 - 45,African-American,0,3,0,0,2,-1,2013-01-24 11:48:41,2013-02-28 05:30:45,13008351TC10A,,2013-01-24,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-25,Risk of Violence,1,Low,2013-01-25,2013-01-24,2013-02-28,2,34,1162,0,0,0 +2196,robert mauney,robert,mauney,2014-02-03,Male,1966-07-24,49,Greater than 45,African-American,0,2,0,0,4,0,2014-02-03 12:18:15,2014-03-11 08:20:05,14001792MM10A,2014-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-03,2014-03-11,4,36,788,0,0,0 +2198,james ravino,james,ravino,2013-10-22,Male,1963-09-05,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-10-21 11:28:17,2013-11-15 09:18:28,13014717CF10A,2013-10-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-11-15,1,24,892,0,0,0 +2201,melinda huffman,melinda,huffman,2013-11-25,Female,1955-04-28,60,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-11-24 04:19:55,2013-11-25 09:02:04,13016357CF10A,2013-11-24,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-24,2013-11-25,2,0,858,0,0,0 +2205,teresa-marie holness,teresa-marie,holness,2013-03-13,Female,1993-01-26,23,Less than 25,African-American,0,6,0,0,0,-1,2013-03-12 06:19:34,2013-03-13 08:18:42,13004934MM10A,2013-03-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-13,Risk of Violence,6,Medium,2013-03-13,2013-03-12,2013-03-13,0,0,1115,0,0,0 +2206,theodore blount,theodore,blount,2013-01-30,Male,1985-11-16,30,25 - 45,African-American,0,7,0,0,2,-1,2013-01-29 08:26:44,2013-01-30 08:54:42,07049837TC10A,2007-12-21,,1867,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-30,Risk of Violence,6,Medium,2013-01-30,2014-01-05,2014-04-15,2,0,340,0,0,0 +2208,mario baptiste,mario,baptiste,2013-08-26,Male,1984-02-09,32,25 - 45,African-American,0,7,0,0,2,0,2013-08-26 03:38:03,2013-08-27 05:13:33,13012049CF10A,2013-08-26,,0,F,Driving While License Revoked,1,14009957MM10A,(M1),0,2014-06-26,Battery,2014-06-26,2014-06-28,,1,14009957MM10A,(M1),2014-06-26,Battery,Risk of Recidivism,7,Medium,2013-08-26,Risk of Violence,5,Medium,2013-08-26,2014-06-26,2014-06-28,2,1,304,1,1,1 +2215,ricky farlow,ricky,farlow,2013-12-17,Male,1993-06-23,22,Less than 25,African-American,0,5,0,0,3,20,2014-01-06 01:56:32,2014-08-08 10:08:29,13016648CF10A,,2013-11-26,21,F,arrest case no charge,1,14000536CF10A,(F3),0,2014-01-06,Resist Officer w/Violence,2014-01-06,2014-08-08,,1,14000536CF10A,(F3),2014-01-06,Battery on Law Enforc Officer,Risk of Recidivism,5,Medium,2013-12-17,Risk of Violence,8,High,2013-12-17,2014-01-06,2014-08-08,3,0,20,1,1,1 +2216,dainsley mckenzie,dainsley,mckenzie,2013-02-15,Male,1971-09-05,44,25 - 45,African-American,0,2,0,0,2,-1,2013-02-14 06:58:25,2013-02-16 01:33:11,13002293CF10A,2013-02-14,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-15,Risk of Violence,1,Low,2013-02-15,2013-02-14,2013-02-16,2,1,1141,0,0,0 +2217,patrick kallman,patrick,kallman,2013-05-26,Male,1984-04-06,32,25 - 45,Caucasian,0,4,0,0,3,-1,2013-05-25 06:05:51,2013-08-19 09:19:45,13007491CF10A,2013-05-25,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-26,Risk of Violence,4,Low,2013-05-26,2015-01-29,2015-02-01,3,85,613,0,0,0 +2218,markee singletary,markee,singletary,2013-09-21,Female,1989-04-13,27,25 - 45,African-American,0,2,0,0,1,-1,2013-09-20 11:29:45,2013-09-21 08:27:05,13017989MM10A,2013-09-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-21,Risk of Violence,2,Low,2013-09-21,2013-09-20,2013-09-21,1,0,923,0,0,0 +2221,james ursia,james,ursia,2014-09-22,Male,1954-09-26,61,Greater than 45,Caucasian,0,2,0,0,3,0,2014-09-22 07:01:15,2014-09-23 03:26:36,14014041MM10A,2014-09-22,,0,M,Battery,1,14038792MU10A,(M1),0,2014-10-20,Refuse Submit Blood/Breath Test,2014-10-20,2014-10-20,,1,15008835CF10A,(F2),2015-07-09,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2014-09-22,Risk of Violence,1,Low,2014-09-22,2014-10-20,2014-10-20,3,1,28,0,1,1 +2222,billy henley,billy,henley,2013-08-07,Male,1947-02-24,69,Greater than 45,African-American,0,1,0,0,3,0,2013-08-07 02:40:49,2013-08-07 08:00:30,13014927MM10A,2013-08-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,2,Low,2013-08-07,2013-08-07,2013-08-07,3,0,968,0,0,0 +2223,leo beckford,leo,beckford,2013-08-14,Male,1964-08-24,51,Greater than 45,Other,0,1,0,0,2,-1,2013-08-13 06:08:08,2013-09-16 07:20:06,13011387CF10A,2013-08-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-14,Risk of Violence,1,Low,2013-08-14,2013-08-13,2013-09-16,2,33,961,0,0,0 +2224,alexandra figueroa,alexandra,figueroa,2014-01-30,Female,1995-02-16,21,Less than 25,Caucasian,0,6,0,0,1,-1,2014-01-29 07:19:41,2014-01-31 03:52:13,14000347CF10A,2013-11-05,,86,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-30,Risk of Violence,6,Medium,2014-01-30,2015-03-23,2015-04-10,1,1,417,0,0,0 +2231,james scott,james,scott,2013-01-31,Male,1992-01-17,24,Less than 25,African-American,0,9,5,0,12,0,2013-01-31 03:56:16,2013-03-09 03:03:58,12047991TC10A,,2013-01-31,0,M,arrest case no charge,1,13002145CF10A,(M2),42,2013-02-07,Petit Theft,2013-03-21,2013-05-25,,1,14001817CF10A,(F1),2014-02-09,Agg Battery Law Enforc Officer,Risk of Recidivism,9,High,2013-01-31,Risk of Violence,9,High,2013-01-31,2013-01-31,2013-03-09,12,0,7,1,1,1 +2234,guillermo mena,guillermo,mena,2013-09-23,Male,1959-02-10,57,Greater than 45,Hispanic,0,1,0,0,3,-2,2013-09-21 01:28:03,2013-09-22 01:50:17,13013319CF10A,2013-09-21,,2,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-21,2013-09-22,3,0,921,0,0,0 +2235,joseph navarro,joseph,navarro,2013-08-06,Male,1985-11-02,30,25 - 45,Caucasian,0,7,0,0,6,-1,2013-08-05 09:52:27,2013-08-12 07:37:35,13004813CF10A,,2013-08-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-06,Risk of Violence,8,High,2013-08-06,2013-08-05,2013-08-12,6,6,969,0,0,0 +2237,alrick harris,alrick,harris,2013-08-23,Male,1991-12-12,24,Less than 25,African-American,0,7,0,1,4,-1,2013-08-22 04:33:49,2013-08-27 01:19:42,13011830CF10A,2013-08-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-23,Risk of Violence,4,Low,2013-08-23,2014-04-12,2014-04-13,4,4,232,0,0,0 +2239,amy gildon,amy,gildon,2013-10-29,Female,1985-11-04,30,25 - 45,Caucasian,0,7,0,0,7,-18,2013-10-11 07:33:17,2013-10-29 05:43:13,13011376MM10A,,2013-10-12,17,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,3,Low,2013-10-29,2013-10-11,2013-10-29,7,0,885,0,0,0 +2243,david tal-mason,david,tal-mason,2014-07-21,Male,1958-12-14,57,Greater than 45,Caucasian,0,2,0,0,0,,,,,,,,M,,1,14015383CF10A,(F3),0,2014-11-15,Resist Officer w/Violence,2014-11-15,2014-11-16,,1,14015383CF10A,(F3),2014-11-15,Battery on Law Enforc Officer,Risk of Recidivism,2,Low,2014-07-21,Risk of Violence,1,Low,2014-07-21,2014-11-15,2014-11-16,0,0,117,1,1,1 +2245,rebecca lowery,rebecca,lowery,2013-01-02,Female,1960-04-18,56,Greater than 45,Caucasian,0,8,0,0,1,-1,2013-01-01 08:39:42,2013-06-20 05:12:00,13000039CF10A,2013-01-01,,1,F,Felony DUI (level 3),0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-02,Risk of Violence,3,Low,2013-01-02,2013-06-20,2014-01-21,1,384,1185,0,0,0 +2246,adrian mclemore,adrian,mclemore,2013-02-20,Male,1994-06-27,21,Less than 25,African-American,0,8,0,0,1,-8,2013-02-12 01:28:50,2013-02-20 09:54:56,13002192CF10A,,2013-02-12,8,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-20,Risk of Violence,8,High,2013-02-20,2013-03-29,2013-12-12,1,0,37,0,0,0 +2247,anthony perry,anthony,perry,2013-01-05,Male,1984-08-15,31,25 - 45,African-American,3,10,0,0,6,-1,2013-01-04 04:19:50,2013-02-04 12:38:13,13000174CF10A,2013-01-04,,1,F,Resist Officer w/Violence,1,13009179CF10A,(F3),0,2013-06-29,Felony Battery w/Prior Convict,2013-06-29,2014-11-18,,1,13009179CF10A,(F3),2013-06-29,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2013-01-05,Risk of Violence,6,Medium,2013-01-05,2013-06-29,2014-11-18,6,30,175,1,1,1 +2248,markiesha gill,markiesha,gill,2013-04-18,Female,1992-09-11,23,Less than 25,African-American,0,9,0,0,1,-1,2013-04-17 03:45:44,2013-04-18 09:35:33,13005529CF10A,,2013-04-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-18,Risk of Violence,8,High,2013-04-18,2013-04-17,2013-04-18,1,0,1079,0,0,0 +2252,jacques alinstant,jacques,alinstant,2013-06-17,Male,1973-08-20,42,25 - 45,Other,0,1,0,0,1,-13,2013-06-04 03:44:44,2013-06-04 07:34:46,13010751MM10A,2013-06-04,,13,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-17,Risk of Violence,1,Low,2013-06-17,2013-06-04,2013-06-04,1,0,1019,0,0,0 +2256,anthony wierengo,anthony,wierengo,2013-01-12,Male,1951-08-20,64,Greater than 45,Caucasian,0,3,0,0,0,-1,2013-01-11 08:49:41,2013-04-30 06:24:32,13000501CF10A,2013-01-11,,1,F,Sex Offender Fail Comply W/Law,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-12,Risk of Violence,2,Low,2013-01-12,2013-04-30,2013-11-15,0,307,1175,0,0,0 +2258,almalinda gonzalez,almalinda,gonzalez,2014-12-28,Female,1995-01-11,21,Less than 25,Caucasian,0,6,0,0,0,-1,2014-12-27 09:18:01,2014-12-28 01:35:14,14017089CF10A,2014-12-27,,1,F,Grand Theft in the 3rd Degree,1,15005073CF10A,(F3),0,2015-04-17,Grand Theft in the 3rd Degree,2015-04-17,2015-04-18,,1,15002242MM20A,(M1),2015-08-15,Battery,Risk of Recidivism,6,Medium,2014-12-28,Risk of Violence,6,Medium,2014-12-28,2015-04-17,2015-04-18,0,0,110,1,1,1 +2259,lee williams,lee,williams,2013-10-30,Male,1979-12-04,36,25 - 45,African-American,0,3,0,0,5,17,2013-11-16 02:26:39,2013-11-27 05:46:49,08018965CF10A,,2011-08-27,795,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-30,Risk of Violence,2,Low,2013-10-30,2013-11-16,2013-11-27,5,0,17,0,0,0 +2261,ernestine parrish,ernestine,parrish,2013-08-30,Female,1965-11-17,50,Greater than 45,African-American,0,1,0,0,1,-1,2013-08-29 06:41:54,2013-08-30 08:31:24,12014982CF10A,,2013-08-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-30,Risk of Violence,1,Low,2013-08-30,2013-08-29,2013-08-30,1,0,945,0,0,0 +2263,reuben billie,reuben,billie,2013-04-26,Male,1987-12-22,28,25 - 45,Native American,0,3,0,0,2,-1,2013-04-25 08:44:42,2013-06-13 10:12:31,13005974CF10A,2013-04-25,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-26,Risk of Violence,4,Low,2013-04-26,2013-04-25,2013-06-13,2,48,1071,0,0,0 +2268,lauren perry,lauren,perry,2013-01-28,Female,1990-04-20,25,25 - 45,Caucasian,0,7,0,0,5,-3,2013-01-25 01:47:43,2013-01-25 09:37:49,13001264CF10A,2013-01-24,,4,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-28,Risk of Violence,4,Low,2013-01-28,2013-02-15,2013-02-20,5,0,18,0,0,0 +2269,patricia maccall,patricia,maccall,2013-09-12,Female,1969-04-19,47,Greater than 45,African-American,0,6,0,0,1,,,,11013532CF10A,2011-08-12,,762,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-12,Risk of Violence,3,Low,2013-09-12,,,1,0,932,0,0,0 +2272,freddy romero,freddy,romero,2013-11-01,Male,1963-01-11,53,Greater than 45,Hispanic,0,10,0,0,4,,,,11007863CF10A,,2012-06-29,490,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-11-01,Risk of Violence,5,Medium,2013-11-01,2012-06-27,2012-07-01,4,0,882,0,0,0 +2274,joseph diaz,joseph,diaz,2014-04-09,Male,1961-06-21,54,Greater than 45,Caucasian,0,4,0,0,14,-1,2014-04-08 09:56:20,2014-05-06 10:12:47,14005998MM10A,2014-04-08,,1,M,Battery,1,14007611MM10A,(M1),0,2014-05-07,Resist/Obstruct W/O Violence,2014-05-07,2014-08-05,,1,15007515CF10A,(F3),2015-06-09,Battery Emergency Care Provide,Risk of Recidivism,4,Low,2014-04-09,Risk of Violence,3,Low,2014-04-09,2014-05-07,2014-08-05,14,27,28,1,1,1 +2276,oneil ebanks,oneil,ebanks,2013-12-27,Male,1979-01-14,37,25 - 45,Other,0,1,0,0,6,-1,2013-12-26 04:59:22,2013-12-27 08:15:19,13023823MM10A,2013-12-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,2,Low,2013-12-27,2013-12-26,2013-12-27,6,0,826,0,0,0 +2277,omar sao,omar,sao,2013-11-07,Male,1990-09-22,25,25 - 45,Caucasian,0,9,0,1,5,-1,2013-11-06 11:10:50,2013-11-21 09:35:41,13013970MM10A,,2013-11-06,1,M,arrest case no charge,1,14067085TC40A,(M1),18,2014-09-29,Opert With Susp DL 2nd Offens,2014-10-17,2014-10-18,,1,15009628CF10A,(F3),2015-03-16,Felony Battery w/Prior Convict,Risk of Recidivism,9,High,2013-11-07,Risk of Violence,8,High,2013-11-07,2013-11-06,2013-11-21,5,14,326,1,1,1 +2279,james burns,james,burns,2014-03-22,Male,1981-03-25,35,25 - 45,African-American,0,7,0,0,2,-1,2014-03-21 03:10:20,2014-03-22 08:07:10,14004981MM10A,2014-03-21,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-22,Risk of Violence,4,Low,2014-03-22,2014-03-21,2014-03-22,2,0,741,0,0,0 +2282,shawn flecther,shawn,flecther,2014-03-23,Male,1984-01-18,32,25 - 45,African-American,0,3,0,0,2,,,,10019917CF10B,,2012-05-15,677,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-23,Risk of Violence,3,Low,2014-03-23,,,2,0,740,0,0,0 +2283,alton roberts,alton,roberts,2013-04-09,Male,1990-10-26,25,25 - 45,African-American,0,10,0,0,8,-1,2013-04-08 05:47:18,2013-04-10 01:26:53,13006769MM10A,2013-04-08,,1,M,Battery,1,13011245CF10A,(F3),0,2013-08-10,Attempted Robbery No Weapon,2013-08-10,2013-10-02,,1,13011245CF10A,(F3),2013-08-10,Attempted Robbery No Weapon,Risk of Recidivism,10,High,2013-04-09,Risk of Violence,10,High,2013-04-09,2013-04-23,2013-04-26,8,1,14,0,1,1 +2284,kenneth alvarez,kenneth,alvarez,2013-12-02,Male,1982-08-28,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-01 10:12:15,2013-12-02 01:55:48,13022369MM10A,2013-12-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0,0 +2285,alexander santana,alexander,santana,2013-03-12,Male,1986-05-22,29,25 - 45,African-American,0,3,0,0,7,-1,2013-03-11 06:21:47,2013-03-13 02:21:18,13003329CF10A,,2013-03-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-12,Risk of Violence,4,Low,2013-03-12,2013-06-12,2013-06-14,7,1,92,0,0,0 +2286,jeffrey sabogal,jeffrey,sabogal,2013-02-21,Male,1989-03-09,27,25 - 45,Hispanic,0,4,0,0,2,-1,2013-02-20 06:36:20,2013-02-21 01:30:47,13003618MM10A,2013-02-20,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-21,Risk of Violence,3,Low,2013-02-21,2013-02-20,2013-02-21,2,0,1135,0,0,0 +2289,chloe bridges,chloe,bridges,2014-03-26,Female,1995-06-26,20,Less than 25,Caucasian,0,10,2,1,3,-1,2014-03-25 06:58:54,2014-03-26 01:23:55,14005167MM10A,2014-03-25,,1,M,Battery,1,15008702MM10A,(M1),0,2015-08-17,Battery,2015-08-17,2015-08-18,,1,15008702MM10A,(M1),2015-08-17,Battery,Risk of Recidivism,10,High,2014-03-26,Risk of Violence,8,High,2014-03-26,2014-04-22,2014-05-28,3,0,27,0,1,1 +2291,joseph mcmahon,joseph,mcmahon,2013-06-17,Male,1943-12-30,72,Greater than 45,Caucasian,0,1,0,0,1,-23,2013-05-25 07:53:47,2013-05-26 08:34:25,13010046MM10A,2013-05-25,,23,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-17,Risk of Violence,1,Low,2013-06-17,2013-05-25,2013-05-26,1,0,1019,0,0,0 +2292,alex kantzelis,alex,kantzelis,2013-04-17,Male,1977-06-11,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-16 03:54:04,2013-04-18 10:30:00,13005461CF10A,2013-04-16,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2014-10-14,2014-10-17,0,1,545,0,0,0 +2293,santos perez,santos,perez,2013-03-09,Male,1975-08-31,40,25 - 45,Caucasian,0,2,0,0,0,-1,2013-03-08 09:44:15,2013-03-09 01:22:15,13003459CF10A,2013-03-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,0,0,1119,0,0,0 +2294,jose pascual,jose,pascual,2014-03-13,Male,1993-01-25,23,Less than 25,Caucasian,0,3,0,0,0,-1,2014-03-12 12:50:45,2014-03-13 10:24:23,14003530CF10A,2014-03-12,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,4,Low,2014-03-13,2014-03-12,2014-03-13,0,0,750,0,0,0 +2297,kyle cossick,kyle,cossick,2014-05-19,Male,1995-01-10,21,Less than 25,Caucasian,0,8,0,0,5,-10,2014-05-09 09:30:19,2014-05-11 01:49:57,14006500CF10A,2014-05-09,,10,F,Poss Pyrrolidinovalerophenone,1,14016163CF10A,(F2),36,2014-10-29,Agg Battery Grt/Bod/Harm,2014-12-04,2015-09-11,,1,14016163CF10A,(F2),2014-10-29,Agg Battery Grt/Bod/Harm,Risk of Recidivism,8,High,2014-05-19,Risk of Violence,8,High,2014-05-19,2016-03-23,2016-03-29,5,0,163,1,1,1 +2303,leah hein,leah,hein,2014-01-10,Female,1975-04-11,41,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-09 08:49:51,2014-01-10 01:49:35,14000418MM10A,2014-01-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-10,Risk of Violence,1,Low,2014-01-10,2014-01-09,2014-01-10,0,0,812,0,0,0 +2306,george zargos,george,zargos,2013-05-16,Male,1959-08-15,56,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-05-15 06:33:00,2013-05-17 09:07:02,13009401MM10A,2013-05-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-16,Risk of Violence,1,Low,2013-05-16,2013-05-15,2013-05-17,1,1,1051,0,0,0 +2307,billy johnson,billy,johnson,2013-05-03,Male,1961-01-18,55,Greater than 45,Caucasian,0,7,0,0,11,-1,2013-05-02 03:15:21,2013-06-28 09:30:37,11083457TC20A,,2012-05-30,338,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-03,Risk of Violence,3,Low,2013-05-03,2013-10-01,2013-10-19,11,56,151,0,0,0 +2310,lloyd sterling,lloyd,sterling,2013-08-24,Male,1987-05-17,28,25 - 45,African-American,0,2,0,0,3,-1,2013-08-23 12:58:10,2013-08-24 09:05:06,13011917CF10A,2013-08-23,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-24,Risk of Violence,2,Low,2013-08-24,2013-08-23,2013-08-24,3,0,951,0,0,0 +2311,barrington christie,barrington,christie,2013-05-02,Male,1985-03-03,31,25 - 45,Other,0,2,0,0,2,-1,2013-05-01 03:08:07,2013-05-14 11:36:33,13006246CF10A,,2013-05-01,1,F,arrest case no charge,1,14009764CF10A,(M1),140,2014-03-07,Viol Injunct Domestic Violence,2014-07-25,2014-07-29,,1,14009764CF10A,(F2),2014-03-07,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2013-05-02,Risk of Violence,4,Low,2013-05-02,2013-05-01,2013-05-14,2,12,309,1,1,1 +2314,michael barfield,michael,barfield,2013-05-17,Male,1959-09-19,56,Greater than 45,African-American,0,2,0,0,3,-49,2013-03-29 09:31:42,2013-05-17 10:53:22,13006073MM10A,2013-03-29,,49,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-17,Risk of Violence,1,Low,2013-05-17,2013-07-14,2013-08-05,3,0,58,0,0,0 +2316,michael burgess,michael,burgess,2013-04-15,Male,1963-03-17,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-14 09:55:04,2013-04-15 07:44:31,13007213MM10A,2013-04-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-04-14,2013-04-15,0,0,1082,0,0,0 +2321,terrance williams,terrance,williams,2013-03-02,Male,1982-11-19,33,25 - 45,African-American,0,6,0,0,7,-1,2013-03-01 05:09:59,2013-03-03 04:26:19,13004224MM10A,2013-03-01,,1,M,Viol Prot Injunc Repeat Viol,1,14008781CF10A,(F3),0,2014-05-30,Felony Battery w/Prior Convict,2014-05-30,2014-05-31,,1,14008676MM10A,(M1),2014-05-30,Battery,Risk of Recidivism,6,Medium,2013-03-02,Risk of Violence,7,Medium,2013-03-02,2013-12-12,2014-04-21,7,1,285,0,1,1 +2322,kirk jenkins,kirk,jenkins,2013-04-26,Male,1982-01-16,34,25 - 45,African-American,0,7,0,0,15,-6,2013-04-20 04:52:17,2013-04-26 10:39:19,13005663CF10A,,2013-04-20,6,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-26,Risk of Violence,7,Medium,2013-04-26,2013-12-12,2013-12-16,15,0,230,0,0,0 +2326,jerrod moore,jerrod,moore,2013-01-15,Male,1983-11-15,32,25 - 45,African-American,0,8,0,0,12,-1,2013-01-14 02:13:57,2013-01-15 06:58:20,13000626CF10A,2013-01-14,,1,F,Possession of Cocaine,1,16000466CF10A,(F3),0,2016-01-12,,2016-01-12,2016-01-13,,0,,,,,Risk of Recidivism,8,High,2013-01-15,Risk of Violence,6,Medium,2013-01-15,2016-01-12,2016-01-13,12,0,1092,1,0,0 +2328,christopher piperwang,christopher,piperwang,2013-01-10,Male,1991-12-01,24,Less than 25,Asian,0,2,0,0,0,0,2013-01-10 02:33:14,2013-01-10 06:49:00,13000598MM10A,2013-01-09,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,3,Low,2013-01-10,2013-01-10,2013-01-10,0,0,1177,0,0,0 +2332,michael hin,michael,hin,2013-04-30,Male,1960-01-23,56,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-30 12:38:57,2013-04-30 07:45:44,13006137CF10A,2013-04-29,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-30,2013-04-30,0,0,1067,0,0,0 +2334,gabriel lovato,gabriel,lovato,2013-01-07,Male,1979-10-17,36,25 - 45,Hispanic,0,4,0,0,1,30,2013-02-06 10:09:18,2013-05-24 06:02:05,12018293CF10A,2012-12-16,,22,F,Aggravated Battery,1,13001876CF10A,(F7),,2013-02-06,Armed Kidnapping,,,,1,13001876CF10A,(F7),2013-02-06,Armed Kidnapping,Risk of Recidivism,4,Low,2013-01-07,Risk of Violence,4,Low,2013-01-07,2013-02-06,2013-05-24,1,0,30,1,1,1 +2335,joey willingham,joey,willingham,2013-05-14,Male,1988-03-18,28,25 - 45,African-American,0,6,0,0,4,0,2013-05-14 03:57:54,2013-06-04 05:09:09,13006892CF10A,2013-05-13,,1,F,Burglary Dwelling Assault/Batt,1,13014757MM10A,(M1),1,2013-08-05,Viol Injunct Domestic Violence,2013-08-06,2013-08-16,,1,15007770CF10A,(F3),2015-06-13,Robbery Sudd Snatch No Weapon,Risk of Recidivism,6,Medium,2013-05-14,Risk of Violence,5,Medium,2013-05-14,2013-05-14,2013-06-04,4,21,83,1,1,1 +2338,osvaldo rodriquez,osvaldo,rodriquez,2013-08-27,Male,1957-03-28,59,Greater than 45,Hispanic,0,1,0,0,0,-2,2013-08-25 04:54:17,2013-08-26 08:49:40,13016251MM10A,2013-08-25,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-25,2013-08-26,0,0,948,0,0,0 +2342,glorisha davis,glorisha,davis,2013-11-03,Female,1986-11-30,29,25 - 45,African-American,0,8,0,0,11,-1,2013-11-02 11:52:10,2013-11-03 07:25:02,13015266CF10A,2013-11-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-03,Risk of Violence,5,Medium,2013-11-03,2013-11-02,2013-11-03,11,0,880,0,0,0 +2343,david hutton,david,hutton,2014-03-19,Male,1944-01-22,72,Greater than 45,Caucasian,0,1,0,0,3,-5,2014-03-14 12:25:05,2014-03-19 02:55:55,75003147CF10A,,2014-03-14,5,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-19,Risk of Violence,1,Low,2014-03-19,2014-03-14,2014-03-19,3,0,744,0,0,0 +2349,jean joseph,jean,joseph,2013-07-31,Male,1971-03-12,45,Greater than 45,African-American,0,9,0,0,3,6,2013-08-06 05:19:17,2013-09-11 11:36:45,13009009CF10A,2013-06-26,,35,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-07-31,Risk of Violence,1,Low,2013-07-31,2013-08-06,2013-09-11,3,0,6,0,0,0 +2352,evience aime,evience,aime,2013-01-02,Male,1970-12-06,45,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-01 11:17:23,2013-01-02 07:35:39,13000056MM10A,2013-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,2013-01-01,2013-01-02,0,0,1185,0,0,0 +2353,edward marko,edward,marko,2014-02-12,Male,1968-06-14,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-11 08:50:50,2014-02-12 08:19:27,14002371MM10A,2014-02-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-02-11,2014-02-12,0,0,779,0,0,0 +2357,cornelius mccloud,cornelius,mccloud,2014-03-05,Male,1982-01-22,34,25 - 45,African-American,0,3,0,0,2,,,,13070495NI20A,2013-10-28,,128,M,Ride Tri-Rail Without Paying,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-05,Risk of Violence,2,Low,2014-03-05,2007-07-26,2008-03-22,2,0,758,0,0,0 +2360,zaire stroman,zaire,stroman,2013-04-10,Male,1994-03-02,22,Less than 25,Hispanic,0,3,0,0,2,102,2013-07-21 08:15:37,2013-07-22 02:48:13,12011072CF10A,,2012-07-27,257,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-10,Risk of Violence,6,Medium,2013-04-10,2013-07-21,2013-07-22,2,0,102,0,0,0 +2363,christopher agapay,christopher,agapay,2013-09-12,Male,1974-10-30,41,25 - 45,Caucasian,0,1,0,0,5,-1,2013-09-11 06:57:23,2013-09-12 08:29:30,13012876CF10A,2013-09-11,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-12,5,0,932,0,0,0 +2365,james yarbough,james,yarbough,2014-01-21,Male,1966-04-30,49,Greater than 45,Caucasian,0,3,0,0,1,-16,2014-01-05 12:24:06,2014-01-18 09:56:35,14000164CF10A,2014-01-04,,17,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-01-05,2014-01-18,1,0,801,0,0,0 +2366,john lopez,john,lopez,2013-10-07,Male,1989-11-27,26,25 - 45,Hispanic,0,1,0,0,0,-1,2013-10-06 06:10:59,2013-10-07 02:03:13,13018986MM10A,2013-10-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-07,Risk of Violence,2,Low,2013-10-07,2013-10-06,2013-10-07,0,0,907,0,0,0 +2367,barbara magnum,barbara,magnum,2013-12-17,Female,1981-11-06,34,25 - 45,Caucasian,0,3,0,0,2,-49,2013-10-29 08:31:46,2013-12-09 09:47:28,13015084CF10A,2013-10-29,,49,F,Uttering a Forged Instrument,1,14006913MM10A,(M1),,2014-02-08,Petit Theft $100- $300,,,,1,14004799CF10A,(F2),2014-04-04,Robbery / No Weapon,Risk of Recidivism,3,Low,2013-12-17,Risk of Violence,2,Low,2013-12-17,2014-04-04,2014-10-15,2,0,53,1,1,1 +2370,shadae scott,shadae,scott,2013-10-21,Female,1987-06-28,28,25 - 45,African-American,0,3,0,0,0,-1,2013-10-20 09:56:04,2013-10-21 09:59:59,13019834MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-21,Risk of Violence,3,Low,2013-10-21,2013-10-20,2013-10-21,0,0,893,0,0,0 +2371,caesar silva,caesar,silva,2013-03-30,Male,1982-11-02,33,25 - 45,Caucasian,0,2,0,0,2,-1,2013-03-29 10:41:27,2013-03-31 02:30:16,13020967TC10A,2013-03-29,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-30,Risk of Violence,2,Low,2013-03-30,2013-03-29,2013-03-31,2,1,1098,0,0,0 +2372,jospeh lenoir,jospeh,lenoir,2013-11-12,Male,1969-06-28,46,Greater than 45,African-American,0,7,0,0,0,0,2013-11-12 12:24:02,2013-11-13 02:28:20,13015695CF10A,2013-11-11,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-12,Risk of Violence,4,Low,2013-11-12,2013-11-12,2013-11-13,0,1,871,0,0,0 +2374,rakesh davis,rakesh,davis,2013-03-07,Male,1994-04-21,21,Less than 25,African-American,0,4,0,0,0,-1,2013-03-06 12:46:52,2013-03-08 05:32:23,13004552MM10A,2013-03-06,,1,M,Disrupting School Function,1,16000621MM10A,(M2),,2015-12-31,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-07,Risk of Violence,6,Medium,2013-03-07,2013-03-06,2013-03-08,0,1,1029,1,0,0 +2380,lorena aristizabal,lorena,aristizabal,2013-12-11,Female,1987-06-25,28,25 - 45,Hispanic,0,5,0,0,2,-68,2013-10-04 02:31:01,2013-10-11 10:49:07,13018003MM10A,,2013-10-07,65,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-11,Risk of Violence,4,Low,2013-12-11,2013-10-04,2013-10-11,2,0,842,0,0,0 +2383,adrian phillips,adrian,phillips,2013-01-03,Male,1987-03-12,29,25 - 45,Other,0,1,0,0,0,-1,2013-01-02 08:04:21,2013-01-03 11:24:59,13000084CF10A,2013-01-02,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-02,2013-01-03,0,0,1184,0,0,0 +2387,antwan davis,antwan,davis,2013-05-10,Male,1995-03-16,21,Less than 25,Caucasian,0,8,0,0,0,0,2013-05-10 02:20:24,2013-05-14 05:41:25,13006723CF10A,2013-05-09,,1,F,Grand Theft in the 3rd Degree,1,13013645CF10A,(F2),1,2013-09-28,Robbery / No Weapon,2013-09-29,2013-10-03,,1,13013645CF10A,(F2),2013-09-28,Robbery / No Weapon,Risk of Recidivism,8,High,2013-05-10,Risk of Violence,10,High,2013-05-10,2013-05-10,2013-05-14,0,4,141,1,1,1 +2388,isnor richardson,isnor,richardson,2013-02-15,Male,1989-11-08,26,25 - 45,Other,0,7,0,0,0,-1,2013-02-14 12:24:49,2013-02-15 07:56:24,13002327CF10A,2013-02-14,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-15,Risk of Violence,5,Medium,2013-02-15,2013-02-14,2013-02-15,0,0,1141,0,0,0 +2389,stanley lemorin,stanley,lemorin,2013-04-29,Male,1981-09-18,34,25 - 45,African-American,0,1,0,0,3,-4,2013-04-25 12:41:50,2013-04-26 07:20:08,12018748MM10A,,2013-04-25,4,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-25,2013-04-26,3,0,1068,0,0,0 +2393,ramone hall,ramone,hall,2014-03-21,Male,1993-07-18,22,Less than 25,African-American,0,3,0,0,0,-1,2014-03-20 06:54:43,2014-03-21 08:13:07,14003963CF10A,2014-03-20,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-21,Risk of Violence,5,Medium,2014-03-21,2014-03-20,2014-03-21,0,0,742,0,0,0 +2396,patricia yates,patricia,yates,2013-05-18,Female,1959-01-12,57,Greater than 45,Caucasian,0,4,0,0,0,-1,2013-05-17 03:48:40,2013-05-18 08:14:16,13009555MM10A,2013-05-17,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-18,Risk of Violence,1,Low,2013-05-18,2013-05-17,2013-05-18,0,0,1049,0,0,0 +2398,pamela corriveau,pamela,corriveau,2013-06-21,Female,1959-09-21,56,Greater than 45,Caucasian,0,1,0,0,1,-20,2013-06-01 06:55:42,2013-06-02 08:24:40,13007797CF10A,2013-06-01,,20,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-21,Risk of Violence,1,Low,2013-06-21,2013-06-01,2013-06-02,1,0,1015,0,0,0 +2400,michael mack,michael,mack,2013-05-01,Male,1986-02-02,30,25 - 45,African-American,0,8,2,2,11,-1,2013-04-30 09:54:32,2013-05-01 08:55:25,13006213CF10A,2013-04-30,,1,F,Strong Armed Robbery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-01,Risk of Violence,3,Low,2013-05-01,2013-06-25,2013-06-27,11,0,55,0,0,0 +2401,jason sucarichi,jason,sucarichi,2014-03-17,Male,1986-08-07,29,25 - 45,African-American,0,1,0,0,2,-1,2014-03-16 09:38:22,2014-03-17 02:19:07,14010461MU10A,2014-03-16,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-16,2014-03-17,2,0,746,0,0,0 +2404,demetrius robinson,demetrius,robinson,2013-10-03,Male,1980-02-03,36,25 - 45,African-American,2,10,0,0,5,-64,2013-07-31 06:00:39,2013-08-02 04:52:28,13010709CF10A,2013-07-31,,64,F,Poss Trifluoromethylphenylpipe,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-03,Risk of Violence,8,High,2013-10-03,2015-02-25,2015-06-24,5,0,510,0,0,0 +2405,yvelourdes duval,yvelourdes,duval,2014-02-26,Female,1992-04-05,24,Less than 25,African-American,0,3,0,0,0,-1,2014-02-25 09:55:41,2014-02-26 09:35:41,14002656CF10A,2014-02-25,,1,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-26,Risk of Violence,4,Low,2014-02-26,2014-02-25,2014-02-26,0,0,765,0,0,0 +2406,everley davis,everley,davis,2013-01-28,Female,1946-04-17,70,Greater than 45,African-American,0,1,0,0,1,-1,2013-01-27 07:29:53,2013-01-29 07:21:13,12016368CF10A,,2013-01-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-29,1,1,1159,0,0,0 +2408,paula randazzo,paula,randazzo,2013-01-17,Female,1970-11-09,45,Greater than 45,Caucasian,0,1,0,0,1,-11,2013-01-06 09:52:49,2013-01-07 01:30:27,13000288MM10A,2013-01-06,,11,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-17,Risk of Violence,1,Low,2013-01-17,2013-01-06,2013-01-07,1,0,1170,0,0,0 +2410,tiffany torres,tiffany,torres,2013-10-21,Female,1982-05-12,33,25 - 45,Hispanic,0,4,0,0,2,-1,2013-10-20 05:05:52,2013-10-22 05:40:12,13019860MM10A,2013-10-20,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-21,Risk of Violence,2,Low,2013-10-21,2013-10-20,2013-10-22,2,1,893,0,0,0 +2411,tedra roach,tedra,roach,2013-01-19,Female,1976-05-31,39,25 - 45,African-American,0,5,1,0,6,0,2013-01-19 02:54:51,2013-01-20 01:40:51,13000899CF10A,2013-01-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-19,Risk of Violence,2,Low,2013-01-19,2013-01-19,2013-01-20,6,1,1168,0,0,0 +2412,ahmed gamaa,ahmed,gamaa,2013-05-02,Male,1991-04-17,25,25 - 45,Caucasian,0,4,1,0,6,-16,2013-04-16 09:53:01,2013-04-18 07:30:00,13003961CF10A,,2013-04-16,16,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-02,Risk of Violence,3,Low,2013-05-02,2013-04-16,2013-04-18,6,0,1065,0,0,0 +2415,carlos allen,carlos,allen,2013-01-31,Male,1968-01-03,48,Greater than 45,Hispanic,0,1,0,0,1,0,2013-01-31 02:01:00,2013-02-01 05:20:16,13002281MM10A,2013-01-30,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-31,Risk of Violence,1,Low,2013-01-31,2013-01-31,2013-02-01,1,1,1156,0,0,0 +2418,arismendy guareno-corona,arismendy,guareno-corona,2013-05-12,Male,1970-02-03,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-11 12:25:37,2013-05-12 07:06:09,13006769CF10A,2013-05-11,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-12,Risk of Violence,1,Low,2013-05-12,2013-05-11,2013-05-12,0,0,1055,0,0,0 +2420,cody rickard,cody,rickard,2013-01-24,Male,1987-10-20,28,25 - 45,Caucasian,0,2,0,0,0,0,2013-01-24 12:35:09,2013-01-27 08:05:49,13001601MM10A,2013-01-23,,1,M,Battery,1,14001333CF10A,(F3),,2013-06-24,Felony Battery (Dom Strang),,,,1,14001333CF10A,(F3),2013-06-24,Felony Battery (Dom Strang),Risk of Recidivism,2,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-01-24,2013-01-27,0,3,151,1,1,1 +2421,richard werhle,richard,werhle,2013-03-28,Male,1983-06-24,32,25 - 45,Caucasian,0,2,0,0,1,,,,12016504MM10A,2012-08-11,,229,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,,,1,0,1100,0,0,0 +2422,william adams,william,adams,2014-01-29,Male,1989-03-25,27,25 - 45,African-American,0,2,0,0,1,-1,2014-01-28 08:05:58,2014-01-29 09:07:24,14001249CF10A,2014-01-28,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-29,Risk of Violence,2,Low,2014-01-29,2014-01-28,2014-01-29,1,0,793,0,0,0 +2425,joseph stunneck,joseph,stunneck,2013-08-21,Male,1972-07-29,43,25 - 45,Caucasian,0,7,0,0,11,16,2013-09-06 05:24:24,2013-11-22 04:21:07,13000251CF10A,2013-01-06,,227,F,Felony DUI (level 3),1,14015797CF10A,(M1),1,2014-11-23,Resist/Obstruct W/O Violence,2014-11-24,2015-01-28,,1,14015797CF10A,(F3),2014-11-23,Battery on a Person Over 65,Risk of Recidivism,7,Medium,2013-08-21,Risk of Violence,4,Low,2013-08-21,2013-09-06,2013-11-22,11,0,16,0,1,1 +2428,gregory barnes,gregory,barnes,2013-02-04,Male,1980-07-30,35,25 - 45,African-American,0,9,4,17,12,,,,11001881CF10A,2011-02-01,,734,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-04,Risk of Violence,4,Low,2013-02-04,2003-08-28,2010-07-29,12,0,1152,0,0,0 +2429,ivan chebaux-mcginty,ivan,chebaux-mcginty,2013-08-21,Male,1986-09-30,29,25 - 45,Caucasian,0,3,0,0,1,-22,2013-07-30 09:15:09,2013-07-31 01:52:59,13010656CF10A,2013-07-30,,22,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-21,Risk of Violence,2,Low,2013-08-21,2014-07-16,2014-09-16,1,0,329,0,0,0 +2431,melissa dowds,melissa,dowds,2013-11-23,Female,1995-06-25,20,Less than 25,Caucasian,0,4,0,0,0,0,2013-11-23 05:18:46,2013-11-23 09:23:39,13016306CF10A,2013-11-23,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-23,Risk of Violence,6,Medium,2013-11-23,2013-11-23,2013-11-23,0,0,860,0,0,0 +2432,zebedee taylor,zebedee,taylor,2013-12-18,Male,1986-11-12,29,25 - 45,African-American,0,1,0,0,0,-1,2013-12-17 09:14:03,2013-12-18 01:06:10,13017424CF10A,2013-12-17,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-18,Risk of Violence,2,Low,2013-12-18,2013-12-17,2013-12-18,0,0,835,0,0,0 +2437,nickenson metelus,nickenson,metelus,2014-01-10,Male,1987-12-02,28,25 - 45,Other,0,2,0,0,3,,,,13006130CF10A,,2013-05-06,249,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-10,Risk of Violence,3,Low,2014-01-10,,,3,0,812,0,0,0 +2438,charles tientn,charles,tientn,2013-08-20,Male,1948-10-07,67,Greater than 45,Asian,0,1,0,0,0,-1,2013-08-19 09:39:32,2013-08-20 01:59:18,13015742MM10A,2013-08-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-20,0,0,955,0,0,0 +2439,michelle hall,michelle,hall,2013-02-03,Female,1970-02-22,46,Greater than 45,African-American,0,5,0,0,1,,,,10024514TC40A,2010-03-30,,1041,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-03,Risk of Violence,1,Low,2013-02-03,,,1,0,1153,0,0,0 +2441,christopher lokai,christopher,lokai,2013-08-13,Male,1990-12-01,25,25 - 45,Other,0,2,0,0,0,-1,2013-08-12 10:12:43,2013-08-13 08:19:01,13011338CF10A,2013-08-12,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-13,Risk of Violence,3,Low,2013-08-13,2013-08-12,2013-08-13,0,0,962,0,0,0 +2442,willie ryan,willie,ryan,2013-05-16,Male,1991-10-04,24,Less than 25,African-American,0,9,2,1,8,-1,2013-05-15 06:50:18,2013-05-16 04:10:04,13006935CF10A,,2013-05-15,1,F,arrest case no charge,1,14035115TC20A,(M2),20,2014-05-15,Operating W/O Valid License,2014-06-04,2014-06-21,,1,14008503CF10A,(F2),2014-06-19,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-05-16,Risk of Violence,9,High,2013-05-16,2014-11-18,2015-02-07,8,0,364,1,1,1 +2443,joel cadet,joel,cadet,2013-05-11,Male,1987-03-23,29,25 - 45,Other,0,6,0,0,3,-1,2013-05-10 05:06:24,2013-11-04 03:54:40,13006740CF10A,2013-05-10,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-11,Risk of Violence,2,Low,2013-05-11,2013-05-10,2013-11-04,3,177,1056,0,0,0 +2444,brian williams,brian,williams,2013-02-02,Male,1970-04-21,45,Greater than 45,African-American,0,6,0,0,2,-1,2013-02-01 10:14:11,2013-03-02 04:50:50,12001097MO40A,2012-02-23,,345,M,Carry Open/Uncov Bev In Pub,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-02,Risk of Violence,2,Low,2013-02-02,2013-02-01,2013-03-02,2,28,1154,0,0,0 +2451,david manning,david,manning,2014-02-05,Male,1955-03-01,61,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-04 08:06:57,2014-02-05 01:12:10,14004521MU10A,2014-02-04,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-05,Risk of Violence,1,Low,2014-02-05,2014-02-04,2014-02-05,0,0,786,0,0,0 +2454,jermane fearon,jermane,fearon,2013-06-14,Male,1984-02-13,32,25 - 45,Other,0,1,0,0,1,-15,2013-05-30 04:25:33,2013-06-14 11:57:29,13007725CF10A,2013-05-30,,15,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-14,Risk of Violence,1,Low,2013-06-14,2013-05-30,2013-06-14,1,0,1022,0,0,0 +2456,david odak,david,odak,2013-02-21,Male,1972-07-08,43,25 - 45,Caucasian,0,6,0,0,9,-2,2013-02-19 09:10:57,2013-02-20 06:59:39,13002527CF10A,2013-02-19,,2,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-19,2013-02-20,9,0,1135,0,0,0 +2457,bryan scott,bryan,scott,2014-01-25,Male,1983-09-01,32,25 - 45,Other,0,1,0,0,0,-1,2014-01-24 01:37:33,2014-01-25 08:23:35,14001389MM10A,2014-01-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2014-01-24,2014-01-25,0,0,797,0,0,0 +2459,rich omoruyi,rich,omoruyi,2014-02-12,Male,1979-11-10,36,25 - 45,African-American,0,5,0,0,0,-1,2014-02-11 12:51:04,2014-02-12 08:49:49,14001958CF10A,2014-02-11,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-02-11,2014-02-12,0,0,779,0,0,0 +2462,lewis dufreme,lewis,dufreme,2013-04-16,Male,1984-02-10,32,25 - 45,African-American,0,2,0,0,1,,,,10024535MM10A,2010-11-13,,885,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-16,Risk of Violence,6,Medium,2013-04-16,,,1,0,1081,0,0,0 +2464,ronald shelton,ronald,shelton,2013-05-29,Male,1958-06-02,57,Greater than 45,African-American,0,9,0,0,12,-1,2013-05-28 08:29:39,2013-07-18 03:49:07,13007619CF10A,2013-05-28,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-29,Risk of Violence,6,Medium,2013-05-29,2013-05-28,2013-07-18,12,50,1038,0,0,0 +2465,marques medders,marques,medders,2013-01-14,Male,1978-11-17,37,25 - 45,African-American,0,7,0,0,2,0,2013-01-14 04:05:27,2013-01-14 08:46:06,13000635CF10A,2013-01-14,,0,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-14,Risk of Violence,6,Medium,2013-01-14,2013-01-14,2013-01-14,2,0,1173,0,0,0 +2467,stacy coley,stacy,coley,2013-10-23,Male,1971-10-03,44,25 - 45,African-American,0,6,0,0,6,-1,2013-10-22 04:50:30,2013-10-24 03:57:27,13014755CF10A,,2013-10-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-23,Risk of Violence,2,Low,2013-10-23,2013-10-22,2013-10-24,6,1,891,0,0,0 +2470,kennedy stevens,kennedy,stevens,2013-01-24,Male,1965-03-09,51,Greater than 45,African-American,0,2,0,0,8,,,,11019376CF10A,,2011-11-04,447,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,,,8,0,1163,0,0,0 +2471,jesus regueiro,jesus,regueiro,2013-04-15,Male,1970-09-14,45,Greater than 45,Hispanic,0,6,0,0,4,,,,12017200CF10A,2012-11-26,,140,F,Agg Assault Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-15,Risk of Violence,4,Low,2013-04-15,1999-12-03,2005-01-25,4,0,1082,0,0,0 +2472,william baumgartner,william,baumgartner,2013-09-24,Male,1987-07-27,28,25 - 45,Caucasian,0,8,0,2,9,112,2014-01-14 05:32:52,2014-05-11 04:56:33,12024497MM10A,2012-12-01,,297,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-24,Risk of Violence,6,Medium,2013-09-24,2014-01-14,2014-05-11,9,0,112,0,0,0 +2474,stevie johnson,stevie,johnson,2013-05-04,Male,1970-07-31,45,Greater than 45,African-American,0,7,0,0,8,-1,2013-05-03 07:04:28,2013-05-04 01:16:42,11009021CF10A,,2013-05-04,0,F,arrest case no charge,1,13039021TC10A,(M2),,2013-09-20,Driving License Suspended,,,,1,13017860CF10A,(M1),2013-12-27,Aggravated Battery / Pregnant,Risk of Recidivism,7,Medium,2013-05-04,Risk of Violence,4,Low,2013-05-04,2016-03-24,2020-01-01,8,0,139,1,1,1 +2475,norman willis,norman,willis,2013-03-29,Male,1967-11-27,48,Greater than 45,Other,0,1,0,0,1,-1,2013-03-28 08:32:43,2013-03-30 09:14:35,13004140CF10A,,2013-03-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-29,Risk of Violence,1,Low,2013-03-29,2013-03-28,2013-03-30,1,1,1099,0,0,0 +2478,christopher fernando,christopher,fernando,2013-03-17,Male,1990-06-27,25,25 - 45,African-American,0,3,0,0,0,-1,2013-03-16 04:30:03,2013-03-18 03:05:32,13003861CF10A,2013-03-16,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-17,Risk of Violence,4,Low,2013-03-17,2013-03-16,2013-03-18,0,1,1111,0,0,0 +2480,robert mcpherson,robert,mcpherson,2013-09-30,Male,1973-04-13,43,25 - 45,African-American,0,1,0,0,1,-1,2013-09-29 03:52:01,2013-09-30 08:01:14,08023370CF10A,,2013-09-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,1,0,914,0,0,0 +2482,gary dyer,gary,dyer,2014-03-10,Male,1985-06-10,30,25 - 45,African-American,0,1,0,0,0,0,2014-03-10 03:07:16,2014-03-10 09:40:37,14004143MM10A,2014-03-10,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-10,Risk of Violence,1,Low,2014-03-10,2014-03-10,2014-03-10,0,0,753,0,0,0 +2484,alexander salow,alexander,salow,2013-09-23,Male,1965-10-09,50,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-09-21 08:09:22,2013-09-22 06:17:33,13018028MM10A,2013-09-21,,2,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-21,2013-09-22,0,0,921,0,0,0 +2485,angelika hawkins,angelika,hawkins,2013-10-08,Female,1984-06-03,31,25 - 45,African-American,0,2,0,0,2,-1,2013-10-07 05:44:38,2013-10-08 09:17:55,13014074CF10A,2013-10-07,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-08,Risk of Violence,2,Low,2013-10-08,2015-04-16,2015-04-21,2,0,555,0,0,0 +2486,lori koons,lori,koons,2013-11-08,Female,1982-09-18,33,25 - 45,Caucasian,0,6,0,0,7,-6,2013-11-02 07:20:05,2013-11-03 01:50:08,13020679MM10A,2013-11-02,,6,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-08,Risk of Violence,2,Low,2013-11-08,2013-11-02,2013-11-03,7,0,875,0,0,0 +2487,jermaine bowens,jermaine,bowens,2013-11-07,Male,1984-04-02,32,25 - 45,African-American,0,5,0,0,1,-1,2013-11-06 10:29:11,2013-11-26 06:16:00,13015485CF10A,2013-11-06,,1,F,False Ownership Info/Pawn Item,1,14017075CF10A,(F1),0,2014-12-27,Tampering with a Victim,2014-12-27,2015-02-02,,1,14017075CF10A,(F3),2014-12-27,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2013-11-07,Risk of Violence,5,Medium,2013-11-07,2014-12-27,2015-02-02,1,19,415,1,1,1 +2489,gerald ocasio,gerald,ocasio,2013-03-28,Male,1993-12-21,22,Less than 25,Hispanic,0,6,0,0,0,-1,2013-03-27 07:30:55,2013-03-28 08:32:07,13004437CF10A,2013-03-27,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-28,Risk of Violence,7,Medium,2013-03-28,2015-04-22,2015-05-07,0,0,755,0,0,0 +2495,kyle rivera,kyle,rivera,2013-03-01,Male,1994-12-12,21,Less than 25,Caucasian,0,5,0,0,0,0,2013-03-01 12:01:48,2013-03-01 01:51:31,13003032CF10A,2013-02-28,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-01,Risk of Violence,7,Medium,2013-03-01,2013-03-01,2013-03-01,0,0,1127,0,0,0 +2496,matthew daley,matthew,daley,2013-01-22,Male,1993-07-05,22,Less than 25,Other,0,9,0,0,1,,,,12005333CF10A,2012-04-10,,287,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-22,Risk of Violence,8,High,2013-01-22,,,1,0,1165,0,0,0 +2497,jean phanord,jean,phanord,2013-10-18,Male,1963-08-03,52,Greater than 45,Other,0,1,0,0,2,-1,2013-10-17 07:46:29,2013-10-18 07:52:25,13014545CF10A,,2013-10-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-18,Risk of Violence,1,Low,2013-10-18,2014-01-08,2014-01-15,2,0,82,0,0,0 +2498,william sternal,william,sternal,2013-09-29,Male,1966-07-01,49,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-09-28 06:28:33,2013-09-29 07:31:01,13018477MM10A,2013-09-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-29,Risk of Violence,1,Low,2013-09-29,2013-09-28,2013-09-29,2,0,915,0,0,0 +2501,devonte farley,devonte,farley,2013-08-28,Male,1993-09-11,22,Less than 25,African-American,0,2,0,0,0,-1,2013-08-27 05:03:28,2013-08-28 07:45:25,13012088CF10A,2013-08-27,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-28,Risk of Violence,4,Low,2013-08-28,2013-08-27,2013-08-28,0,0,947,0,0,0 +2502,fernando moreno,fernando,moreno,2013-04-19,Male,1971-04-07,45,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-04-18 04:57:29,2013-05-01 09:03:25,13005572CF10A,2013-04-18,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-05-01,0,12,1078,0,0,0 +2507,berman stfleur,berman,stfleur,2013-03-17,Male,1988-02-24,28,25 - 45,African-American,0,6,0,0,5,-1,2013-03-16 04:56:02,2013-03-17 08:00:45,13005170MM10A,2013-03-16,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-17,Risk of Violence,2,Low,2013-03-17,2013-03-16,2013-03-17,5,0,1111,0,0,0 +2509,luben augustin,luben,augustin,2013-10-31,Male,1994-11-24,21,Less than 25,African-American,0,5,0,0,1,-1,2013-10-30 04:56:29,2013-11-10 09:03:31,13015144CF10A,2013-10-30,,1,F,Grand Theft in the 3rd Degree,1,14000335MM10A,(M2),99,2013-11-04,Disorderly Conduct,2014-02-11,2014-03-16,,1,14000335MM10A,(M1),2013-11-04,Battery,Risk of Recidivism,5,Medium,2013-10-31,Risk of Violence,8,High,2013-10-31,2013-10-30,2013-11-10,1,0,4,1,1,1 +2511,julian ruiz,julian,ruiz,2014-02-11,Male,1979-03-21,37,25 - 45,Hispanic,0,3,0,1,2,-1,2014-02-10 05:10:21,2014-02-11 08:51:53,14002287MM10A,2014-02-10,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-11,Risk of Violence,3,Low,2014-02-11,2014-02-10,2014-02-11,2,0,780,0,0,0 +2515,steven thompson,steven,thompson,2013-11-02,Male,1987-06-13,28,25 - 45,African-American,2,10,1,0,11,-1,2013-11-01 07:35:10,2013-11-27 07:48:37,13015262CF10A,2013-11-01,,1,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-11-02,Risk of Violence,5,Medium,2013-11-02,2013-11-01,2013-11-27,11,25,881,0,0,0 +2516,sha-de williams,sha-de,williams,2013-01-16,Male,1992-02-24,24,Less than 25,African-American,0,3,0,0,1,-1,2013-01-15 06:16:11,2013-01-16 08:39:11,13000683CF10A,2013-01-15,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-16,Risk of Violence,6,Medium,2013-01-16,2013-01-15,2013-01-16,1,0,1171,0,0,0 +2517,joel jasmin,joel,jasmin,2013-09-24,Male,1972-02-02,44,25 - 45,African-American,0,3,0,0,9,73,2013-12-06 12:47:03,2014-02-10 10:51:40,09020924CF10A,,2013-05-15,132,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-24,Risk of Violence,1,Low,2013-09-24,2013-12-06,2014-02-10,9,0,73,0,0,0 +2518,jamie rodriguez,jamie,rodriguez,2014-03-18,Male,1990-07-04,25,25 - 45,Hispanic,0,8,0,4,5,,,,10020252CF10A,,2010-11-11,1223,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-18,Risk of Violence,7,Medium,2014-03-18,,,5,0,745,0,0,0 +2519,ronnie thomas,ronnie,thomas,2014-11-15,Male,1983-05-20,32,25 - 45,African-American,1,7,3,0,24,-1,2014-11-14 10:48:40,2014-11-17 08:11:13,14015405CF10A,2014-11-14,,1,F,Driving While License Revoked,1,15008613CF10A,(F3),0,2015-07-05,Felony Battery (Dom Strang),2015-07-05,2015-09-22,,1,15008613CF10A,(F3),2015-07-05,Felony Battery (Dom Strang),Risk of Recidivism,7,Medium,2014-11-15,Risk of Violence,6,Medium,2014-11-15,2015-07-05,2015-09-22,24,2,232,1,1,1 +2521,dyneisha smith,dyneisha,smith,2013-11-15,Female,1992-01-18,24,Less than 25,African-American,0,5,0,0,1,-1,2013-11-14 09:08:19,2013-11-15 02:04:30,13015864CF10A,2013-11-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-15,Risk of Violence,4,Low,2013-11-15,2016-03-28,2016-03-29,1,0,864,0,0,0 +2523,james thompson,james,thompson,2014-03-22,Male,1958-11-17,57,Greater than 45,African-American,0,3,0,0,19,-1,2014-03-21 06:27:23,2014-03-22 08:09:32,14004043CF10A,2014-03-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-22,19,0,741,0,0,0 +2524,mikhail grant,mikhail,grant,2013-05-14,Male,1995-02-11,21,Less than 25,Other,0,6,0,0,0,-1,2013-05-13 06:53:22,2013-05-14 06:24:49,13009253MM10A,2013-05-13,,1,M,Prowling/Loitering,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-14,Risk of Violence,7,Medium,2013-05-14,2013-05-13,2013-05-14,0,0,1053,0,0,0 +2525,nicolas latorre-galan,nicolas,latorre-galan,2013-04-24,Male,1988-03-08,28,25 - 45,Caucasian,0,2,0,0,0,0,2013-04-24 12:33:13,2013-04-24 08:20:16,13005803CF10A,2013-04-23,,1,F,Counterfeit Lic Plates/Sticker,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-24,Risk of Violence,2,Low,2013-04-24,2013-12-05,2013-12-05,0,0,225,0,0,0 +2526,mark vitale,mark,vitale,2013-03-20,Male,1964-12-06,51,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-20 12:24:11,2013-06-20 09:35:19,13005436MM10A,2013-03-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-20,2013-06-20,0,92,1108,0,0,0 +2532,tyrone santos,tyrone,santos,2013-08-17,Male,1990-07-12,25,25 - 45,African-American,0,7,1,0,6,-1,2013-08-16 10:52:42,2013-09-18 05:34:14,13012752MO10A,,2013-08-17,0,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-17,Risk of Violence,5,Medium,2013-08-17,2013-08-16,2013-09-18,6,32,958,0,0,0 +2533,ariel fallacaro,ariel,fallacaro,2014-07-04,Male,1996-06-17,19,Less than 25,Caucasian,0,6,0,0,0,-1,2014-07-03 09:58:44,2014-07-06 04:26:19,14010278MM10A,2014-07-03,,1,M,Battery,1,15005806MM10A,(M1),0,2015-05-27,Battery,2015-05-27,2015-06-01,,1,15005806MM10A,(M1),2015-05-27,Battery,Risk of Recidivism,6,Medium,2014-07-04,Risk of Violence,9,High,2014-07-04,2015-05-27,2015-06-01,0,2,327,1,1,1 +2536,jewel johnson,jewel,johnson,2014-01-08,Male,1959-04-08,57,Greater than 45,African-American,0,10,0,0,27,-9,2013-12-30 09:12:41,2014-01-08 10:44:51,13015205MM10A,,2013-12-30,9,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-08,Risk of Violence,9,High,2014-01-08,2013-12-30,2014-01-08,27,0,814,0,0,0 +2537,jasmine young,jasmine,young,2013-04-08,Female,1988-10-17,27,25 - 45,African-American,0,2,0,0,0,0,2013-04-08 04:39:41,2013-04-09 02:11:14,13006767MM10A,2013-04-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-04-08,2013-04-09,0,1,1089,0,0,0 +2538,walter meixner,walter,meixner,2013-01-13,Male,1950-02-18,66,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-12 02:09:03,2013-01-31 09:56:14,00022077MM10A,,2013-01-12,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-31,1,18,1174,0,0,0 +2539,jamia dixon,jamia,dixon,2014-02-24,Female,1990-10-16,25,25 - 45,African-American,0,7,0,0,4,-46,2014-01-09 01:09:58,2014-01-25 03:15:07,12002493MM20A,,2014-01-09,46,M,arrest case no charge,1,15004321MM10A,(M1),,2014-12-22,Criminal Mischief>$200<$1000,,,,1,15008191CF10A,(F3),2015-03-10,Stalking (Aggravated),Risk of Recidivism,7,Medium,2014-02-24,Risk of Violence,3,Low,2014-02-24,2015-10-20,2015-12-19,4,0,301,1,1,1 +2540,jeramey wilkerson,jeramey,wilkerson,2013-01-26,Male,1995-01-04,21,Less than 25,Caucasian,0,3,0,0,0,0,2013-01-26 04:26:50,2013-01-26 07:17:27,13001296CF10A,,2013-01-26,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-26,Risk of Violence,6,Medium,2013-01-26,2013-01-26,2013-01-26,0,0,1161,0,0,0 +2541,shane bohannon,shane,bohannon,2013-03-11,Male,1970-07-04,45,Greater than 45,Caucasian,0,2,0,0,1,0,2013-03-11 12:31:05,2013-03-11 01:32:29,13003523CF10A,2013-03-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-03-11,2013-03-11,1,0,1117,0,0,0 +2542,kevin mouzon,kevin,mouzon,2013-10-21,Male,1977-04-22,38,25 - 45,African-American,0,6,0,0,6,-205,2013-03-30 11:14:51,2013-10-19 02:01:56,13004567CF10A,2013-03-30,,205,F,Aggravated Assault,1,14018115MM10A,(M2),0,2014-12-28,Criminal Mischief,2014-12-28,2015-01-06,,1,16001032CF10A,(F3),2016-01-26,Threat Public Servant,Risk of Recidivism,6,Medium,2013-10-21,Risk of Violence,7,Medium,2013-10-21,2014-09-07,2014-09-10,6,0,321,0,1,1 +2543,jermaine hall,jermaine,hall,2013-01-21,Male,1979-03-13,37,25 - 45,African-American,2,8,3,0,24,-1,2013-01-20 03:28:03,2013-02-09 02:24:01,13000929CF10A,2013-01-20,,1,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-21,Risk of Violence,4,Low,2013-01-21,2013-01-20,2013-02-09,24,19,1166,0,0,0 +2546,eugene hanon,eugene,hanon,2013-08-17,Male,1951-12-14,64,Greater than 45,African-American,0,4,0,0,0,-1,2013-08-16 07:03:11,2013-08-20 07:40:15,13011518CF10A,2013-08-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-17,Risk of Violence,1,Low,2013-08-17,2013-08-16,2013-08-20,0,3,958,0,0,0 +2548,tony mcneil,tony,mcneil,2013-02-08,Male,1985-11-07,30,25 - 45,African-American,0,6,0,0,1,-1,2013-02-07 03:51:09,2013-02-08 02:09:27,13001914CF10A,2013-02-07,,1,F,Deliver Cocaine,1,13008049MM10A,(M1),0,2013-04-01,Reckless Display Of Weapon,2013-04-01,2013-04-01,,1,13004666CF10A,(F2),2013-04-01,Agg Assault Law Enforc Officer,Risk of Recidivism,6,Medium,2013-02-08,Risk of Violence,4,Low,2013-02-08,2013-04-01,2013-04-01,1,0,52,0,1,1 +2549,manuel mena,manuel,mena,2013-08-14,Male,1954-10-24,61,Greater than 45,African-American,0,1,0,0,1,-1,2013-08-13 03:15:42,2013-08-15 04:26:06,13008322MM10A,,2013-08-13,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-14,Risk of Violence,1,Low,2013-08-14,2013-08-13,2013-08-15,1,1,961,0,0,0 +2550,resendiz santiago,resendiz,santiago,2013-12-19,Male,1982-08-18,33,25 - 45,Caucasian,0,3,0,0,0,,,,13017464CF10A,2013-12-18,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-19,Risk of Violence,3,Low,2013-12-19,,,0,0,834,0,0,0 +2554,lisa fogarty,lisa,fogarty,2014-02-28,Female,1966-08-24,49,Greater than 45,Caucasian,0,2,0,0,8,-10,2014-02-18 11:26:46,2014-02-27 04:09:20,13017790CF10A,,2014-02-18,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-28,Risk of Violence,1,Low,2014-02-28,2014-02-18,2014-02-27,8,0,763,0,0,0 +2556,dirrick stephens,dirrick,stephens,2013-02-10,Male,1992-08-27,23,Less than 25,African-American,0,7,0,0,0,0,2013-02-10 12:53:04,2013-02-11 07:30:44,13002033CF10A,2013-02-09,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-10,Risk of Violence,5,Medium,2013-02-10,2013-02-10,2013-02-11,0,1,1146,0,0,0 +2557,roberto paul,roberto,paul,2013-11-14,Male,1982-05-10,33,25 - 45,African-American,0,8,0,0,14,-79,2013-08-27 09:01:15,2013-11-03 02:08:38,13012078CF10A,2013-08-27,,79,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-14,Risk of Violence,5,Medium,2013-11-14,2013-08-27,2013-11-03,14,0,869,0,0,0 +2560,adesh persaud,adesh,persaud,2013-07-29,Male,1994-09-07,21,Less than 25,Caucasian,0,9,0,0,0,-2,2013-07-27 11:47:49,2013-07-28 05:43:39,13010541CF10A,2013-07-27,,2,F,Sale/Del Cannabis At/Near Scho,1,13012997CF10A,(F3),0,2013-09-14,Possession Of Alprazolam,2013-09-14,2013-10-07,,1,13021891MM10A,(M1),2013-11-21,Battery,Risk of Recidivism,9,High,2013-07-29,Risk of Violence,6,Medium,2013-07-29,2013-09-14,2013-10-07,0,0,47,1,1,1 +2562,michael milla,michael,milla,2013-08-20,Male,1989-05-06,26,25 - 45,Hispanic,0,4,0,1,7,0,2013-08-20 12:51:18,2013-08-22 05:25:59,13015725MM10A,2013-08-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-20,Risk of Violence,4,Low,2013-08-20,2013-08-20,2013-08-22,7,2,955,0,0,0 +2566,melvin stewart,melvin,stewart,2013-01-02,Male,1989-02-28,27,25 - 45,African-American,0,9,0,1,2,-1,2013-01-01 09:18:48,2013-01-02 11:09:35,13000050MM10A,2013-01-01,,1,M,Possess Cannabis/20 Grams Or Less,1,15015534TC20A,(M2),,2015-02-25,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-01-02,Risk of Violence,4,Low,2013-01-02,2014-01-07,2014-01-29,2,0,370,0,0,0 +2567,ronnie foley,ronnie,foley,2013-01-04,Male,1977-09-16,38,25 - 45,Caucasian,0,6,0,0,1,0,2013-01-04 12:48:45,2013-01-19 09:25:50,13000194MM10A,2013-01-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-01-04,2013-01-19,1,15,1183,0,0,0 +2569,elie boujaoude,elie,boujaoude,2014-03-05,Male,1989-09-15,26,25 - 45,Caucasian,0,2,0,0,0,-1,2014-03-04 04:15:31,2014-03-05 01:44:19,14003719MM10A,2014-03-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-05,Risk of Violence,3,Low,2014-03-05,2014-03-04,2014-03-05,0,0,758,0,0,0 +2574,slade hanson,slade,hanson,2013-04-02,Male,1993-02-22,23,Less than 25,Caucasian,0,7,0,1,2,0,2013-04-02 02:25:10,2013-04-15 09:11:23,13004653CF10A,2013-04-02,,0,F,Poss of Firearm by Convic Felo,1,15010282CF10A,(F3),,2015-08-10,Possession of Cannabis,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-02,Risk of Violence,6,Medium,2013-04-02,2013-04-02,2013-04-15,2,13,860,1,0,0 +2579,areej dorriety,areej,dorriety,2014-03-20,Female,1979-07-08,36,25 - 45,African-American,0,1,0,0,0,0,2014-03-20 05:28:52,2014-03-20 10:13:58,14011173MU10A,2014-03-20,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-03-20,2014-03-20,0,0,743,0,0,0 +2580,jaqueline roberts,jaqueline,roberts,2013-04-03,Male,1957-08-06,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-04-02 11:17:17,2013-06-21 10:09:13,13004741CF10A,,2013-04-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2016-02-04,2020-01-01,1,79,1037,0,0,0 +2582,drew pressotto,drew,pressotto,2013-10-04,Male,1969-08-25,46,Greater than 45,Caucasian,0,3,0,0,5,125,2014-02-06 04:42:19,2014-02-06 10:06:22,12008332TC10A,,2013-02-06,240,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-04,Risk of Violence,2,Low,2013-10-04,2014-02-06,2014-02-06,5,0,125,0,0,0 +2583,becky nichols,becky,nichols,2013-09-12,Female,1980-12-18,35,25 - 45,Caucasian,0,3,0,0,4,-30,2013-08-13 08:23:34,2013-08-27 06:21:58,13015812CF10A,2013-08-13,,30,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-12,Risk of Violence,4,Low,2013-09-12,2015-11-28,2015-12-21,4,0,807,0,0,0 +2584,demarcus atkins,demarcus,atkins,2013-05-06,Male,1992-06-23,23,Less than 25,African-American,0,7,0,0,3,-1,2013-05-05 05:12:30,2013-05-06 08:15:16,13012264CF10A,2013-05-05,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-06,Risk of Violence,5,Medium,2013-05-06,2013-09-17,2013-09-18,3,0,134,0,0,0 +2586,chad burnside,chad,burnside,2013-12-23,Male,1975-12-09,40,25 - 45,Caucasian,0,1,0,0,1,-21,2013-12-02 03:16:31,2013-12-23 11:40:21,13016679CF10A,2013-12-02,,21,F,Attempted Robbery No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-02,2013-12-23,1,0,830,0,0,0 +2588,jeffrey insua,jeffrey,insua,2013-10-14,Male,1984-06-06,31,25 - 45,Hispanic,0,3,0,0,3,-1,2013-10-13 03:10:18,2013-10-14 02:35:46,13014328CF10A,2013-10-13,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-14,Risk of Violence,3,Low,2013-10-14,2013-10-13,2013-10-14,3,0,900,0,0,0 +2589,arlene gonzalez,arlene,gonzalez,2013-05-22,Female,1981-12-22,34,25 - 45,Hispanic,0,4,0,0,5,0,2013-05-22 01:22:00,2013-05-23 03:30:07,13007303CF10A,2013-05-21,,1,F,Live on Earnings of Prostitute,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-22,2013-05-23,5,1,1045,0,0,0 +2593,tanisha benjamin,tanisha,benjamin,2013-05-17,Female,1989-08-31,26,25 - 45,African-American,0,5,0,0,3,-27,2013-04-20 02:01:12,2013-05-17 10:53:39,13005671CF10A,2013-04-20,,27,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-17,Risk of Violence,3,Low,2013-05-17,2013-04-20,2013-05-17,3,0,1050,0,0,0 +2594,arthur campbell,arthur,campbell,2013-02-10,Male,1967-01-11,49,Greater than 45,African-American,0,1,0,0,1,0,2013-02-10 02:43:29,2013-03-07 01:58:42,13002059CF10A,2013-02-10,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-10,Risk of Violence,1,Low,2013-02-10,2013-02-10,2013-03-07,1,25,1146,0,0,0 +2595,lucia abreu,lucia,abreu,2013-08-25,Female,1968-07-24,47,Greater than 45,Hispanic,0,1,0,0,0,0,2013-08-25 04:06:09,2013-08-26 07:32:33,13016278MM10A,2013-08-25,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-25,Risk of Violence,1,Low,2013-08-25,2013-08-25,2013-08-26,0,1,950,0,0,0 +2599,monique falcon,monique,falcon,2013-03-07,Female,1970-07-14,45,Greater than 45,Native American,0,2,0,0,1,,,,10017138MM10A,,2012-10-11,147,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-07,Risk of Violence,1,Low,2013-03-07,,,1,0,1121,0,0,0 +2602,richard lindo,richard,lindo,2013-10-07,Male,1969-02-05,47,Greater than 45,African-American,0,2,0,0,6,0,2013-10-07 03:07:53,2013-10-12 05:24:47,13014052CF10A,2013-10-07,,0,F,Att Tamper w/Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-10-07,2013-10-12,6,5,907,0,0,0 +2605,isaac ramirez,isaac,ramirez,2013-02-22,Male,1971-01-05,45,Greater than 45,Hispanic,0,8,0,0,1,378,2014-03-07 09:43:42,2014-03-13 08:26:17,13001306MM10A,2013-01-16,,37,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-22,Risk of Violence,4,Low,2013-02-22,2014-03-07,2014-03-13,1,0,378,0,0,0 +2606,jeremy daniel,jeremy,daniel,2013-03-01,Male,1989-04-16,27,25 - 45,African-American,0,9,0,0,10,-1,2013-02-28 11:54:44,2013-03-08 08:37:14,12000192CF10A,,2013-02-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-01,Risk of Violence,8,High,2013-03-01,2013-02-28,2013-03-08,10,7,1127,0,0,0 +2607,carmen fontes,carmen,fontes,2013-12-31,Female,1963-09-01,52,Greater than 45,Caucasian,0,1,0,0,0,0,2013-12-31 12:19:12,2013-12-31 12:53:38,13024008MM10A,2013-12-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-31,Risk of Violence,1,Low,2013-12-31,2013-12-31,2013-12-31,0,0,822,0,0,0 +2609,michael anderson,michael,anderson,2013-02-27,Male,1991-01-03,25,25 - 45,African-American,0,7,0,1,9,0,2013-02-27 04:07:32,2013-03-01 11:04:29,13002975CF10A,2013-02-26,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-27,Risk of Violence,4,Low,2013-02-27,2014-08-18,2014-09-05,9,2,537,0,0,0 +2610,melvin eberhart,melvin,eberhart,2013-09-26,Male,1964-06-07,51,Greater than 45,African-American,0,2,0,0,1,-1,2013-09-25 09:56:06,2014-03-07 03:16:11,13002843CF10A,,2013-09-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,2,Low,2013-09-26,2013-09-25,2014-03-07,1,162,918,0,0,0 +2611,shanteka arvinger,shanteka,arvinger,2013-02-01,Female,1986-07-27,29,25 - 45,African-American,0,2,0,0,1,0,2013-02-01 02:58:03,2013-02-01 01:55:45,13002339MM10A,2013-02-01,,0,M,Refuse to Supply DNA Sample,1,15009692CF10A,(F3),0,2015-07-28,Crimin Mischief Damage $1000+,2015-07-28,2015-10-01,,0,,,,,Risk of Recidivism,2,Low,2013-02-01,Risk of Violence,2,Low,2013-02-01,2015-07-28,2015-10-01,1,0,907,1,0,0 +2612,delponjarai howard,delponjarai,howard,2013-05-11,Male,1976-06-10,39,25 - 45,African-American,0,3,0,0,1,,,,96015521CF10A,,1997-06-18,5806,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-11,Risk of Violence,2,Low,2013-05-11,2004-08-17,2006-01-17,1,0,1056,0,0,0 +2613,holger doerr,holger,doerr,2014-03-16,Male,1969-08-18,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-15 05:47:39,2014-03-16 01:19:00,14003736CF10A,2014-03-15,,1,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0,0 +2614,joseph parisi,joseph,parisi,2014-01-06,Male,1987-06-14,28,25 - 45,Caucasian,0,4,0,0,6,-2,2014-01-04 09:16:10,2014-01-06 11:05:22,14000157CF10A,2014-01-04,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-06,Risk of Violence,3,Low,2014-01-06,2014-08-12,2014-10-17,6,0,218,0,0,0 +2615,howard carter,howard,carter,2014-02-08,Male,1958-08-19,57,Greater than 45,African-American,0,1,0,0,0,-1,2014-02-07 07:32:03,2014-02-08 09:00:33,14001734CF10A,2014-02-07,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-08,Risk of Violence,1,Low,2014-02-08,2014-02-07,2014-02-08,0,0,783,0,0,0 +2616,andres tejera,andres,tejera,2013-01-18,Male,1993-03-10,23,Less than 25,Hispanic,0,5,0,0,2,-1,2013-01-17 06:30:04,2013-01-18 01:51:21,13000838CF10A,2013-01-17,,1,F,Sel/Pur/Mfr/Del Control Substa,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-18,Risk of Violence,5,Medium,2013-01-18,2013-01-17,2013-01-18,2,0,1169,0,0,0 +2619,kenyetta mattocks,kenyetta,mattocks,2014-03-16,Male,1989-03-25,27,25 - 45,African-American,0,3,0,0,3,-1,2014-03-15 03:18:42,2014-03-27 08:42:37,13016144CF10A,,2014-03-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-16,Risk of Violence,2,Low,2014-03-16,2014-03-15,2014-03-27,3,11,747,0,0,0 +2621,anthony cortes,anthony,cortes,2014-11-14,Male,1985-02-21,31,25 - 45,Caucasian,0,7,0,0,1,-1,2014-11-13 05:26:22,2014-12-16 04:07:30,14015242CF10A,2014-11-13,,1,F,Grand Theft in the 3rd Degree,1,16000111MM10A,(M1),0,2016-01-04,Possess Drug Paraphernalia,2016-01-04,2016-01-28,,1,16000111MM10A,(M1),2016-01-04,Battery,Risk of Recidivism,7,Medium,2014-11-14,Risk of Violence,2,Low,2014-11-14,2016-01-04,2016-01-28,1,32,416,1,1,1 +2623,joseph skipper,joseph,skipper,2014-03-21,Male,1978-11-08,37,25 - 45,African-American,0,2,0,0,8,-1,2014-03-20 07:04:53,2014-03-21 08:33:26,14003962CF10A,2014-03-20,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-21,Risk of Violence,1,Low,2014-03-21,2014-03-20,2014-03-21,8,0,742,0,0,0 +2624,lance geddes,lance,geddes,2013-05-08,Male,1964-04-20,51,Greater than 45,African-American,0,2,0,0,0,0,2013-05-08 02:42:29,2013-05-09 09:51:05,13006593CF10A,2013-05-08,,0,F,Possession of Cocaine,1,13023400MM10A,(M1),,2013-11-15,Battery,,,,1,13023400MM10A,(M1),2013-11-15,Battery,Risk of Recidivism,2,Low,2013-05-08,Risk of Violence,1,Low,2013-05-08,2013-05-14,2013-05-16,0,1,6,0,1,1 +2625,reinaldo rodriguez-hernandez,reinaldo,rodriguez-hernandez,2014-01-27,Male,1964-10-09,51,Greater than 45,Hispanic,0,2,0,0,3,-86,2013-11-02 05:23:27,2013-11-04 09:22:03,14000648MM10A,2014-01-13,,14,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2013-11-02,2013-11-04,3,0,795,0,0,0 +2630,kena boone,kena,boone,2013-01-17,Male,1987-07-26,28,25 - 45,African-American,0,6,1,0,8,-1,2013-01-16 11:54:04,2013-02-26 04:08:32,13000756CF10A,2013-01-16,,1,F,Resist Officer w/Violence,1,15009403CF10A,(M1),0,2015-07-21,Possess Drug Paraphernalia,2015-07-21,2015-07-22,,0,,,,,Risk of Recidivism,6,Medium,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2013-06-17,2013-06-19,8,40,151,0,0,0 +2632,frank ciccio,frank,ciccio,2014-01-16,Male,1959-12-29,56,Greater than 45,Caucasian,0,1,0,0,4,0,2014-01-16 02:39:17,2014-01-23 10:04:18,14000691CF10A,2014-01-16,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2014-01-16,2014-01-23,4,7,806,0,0,0 +2634,ruben soto,ruben,soto,2013-03-19,Male,1989-09-01,26,25 - 45,Caucasian,0,6,0,0,7,-1,2013-03-18 07:27:49,2013-04-05 08:05:25,13003934CF10A,2013-03-18,,1,F,Burglary Dwelling Occupied,1,13036773TC10A,(M2),,2013-09-22,Susp Drivers Lic 1st Offense,,,,1,13023373MM10A,(M2),2013-12-17,Assault,Risk of Recidivism,6,Medium,2013-03-19,Risk of Violence,4,Low,2013-03-19,2013-03-18,2013-04-05,7,17,187,1,1,1 +2637,jaime niedda,jaime,niedda,2014-07-27,Male,1982-09-12,33,25 - 45,Caucasian,0,8,0,0,7,-1,2014-07-26 03:22:27,2014-07-27 08:26:01,14010205CF10A,2014-07-26,,1,F,Felony Battery (Dom Strang),1,15011722MM10A,(M1),0,2015-11-08,Battery,2015-11-08,2015-11-10,,1,15011722MM10A,(M1),2015-11-08,Battery,Risk of Recidivism,8,High,2014-07-27,Risk of Violence,2,Low,2014-07-27,2015-08-01,2015-08-02,7,0,370,0,1,1 +2638,ameer badal,ameer,badal,2013-09-03,Male,1992-05-06,23,Less than 25,Caucasian,0,4,0,3,0,-2,2013-09-01 06:04:07,2013-09-02 08:50:01,13016724MM10A,2013-09-01,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-03,Risk of Violence,3,Low,2013-09-03,2013-09-01,2013-09-02,0,0,941,0,0,0 +2639,jonathan coby,jonathan,coby,2013-09-30,Male,1984-05-18,31,25 - 45,African-American,0,2,0,0,0,0,2013-09-30 04:48:28,2013-09-30 08:01:23,13018613MM10A,2013-09-30,,0,M,Poss Drugs W/O A Prescription,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-30,Risk of Violence,2,Low,2013-09-30,2013-09-30,2013-09-30,0,0,914,0,0,0 +2641,alphanso clarke,alphanso,clarke,2013-02-19,Male,1985-04-08,31,25 - 45,Other,0,3,0,0,0,-1,2013-02-18 02:32:16,2013-02-19 06:53:35,13003455MM10A,2013-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-18,2013-02-19,0,0,1137,0,0,0 +2642,carlos delcid,carlos,delcid,2013-09-23,Male,1996-05-11,19,Less than 25,Hispanic,1,9,0,0,1,-12,2013-09-11 07:10:26,2013-09-16 06:40:29,13012824CF10A,,2013-09-11,12,F,arrest case no charge,1,15011680MM10A,(M1),0,2015-11-07,Battery,2015-11-07,2015-11-10,,1,15011680MM10A,(M1),2015-11-07,Battery,Risk of Recidivism,9,High,2013-09-23,Risk of Violence,10,High,2013-09-23,2015-11-07,2015-11-10,1,0,775,1,0,0 +2643,benjamin chase,benjamin,chase,2013-03-01,Male,1983-06-25,32,25 - 45,Caucasian,0,1,0,0,0,0,2013-03-01 03:05:20,2013-03-01 08:05:57,13003113CF10A,2013-03-01,,0,F,Aggravated Assault W/o Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-01,0,0,1127,0,0,0 +2645,elsie figueroa,elsie,figueroa,2013-06-07,Female,1968-03-14,48,Greater than 45,Hispanic,0,6,0,0,9,-87,2013-03-12 05:15:17,2013-05-08 09:35:00,07010629CF10A,,2013-03-12,87,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-07,Risk of Violence,6,Medium,2013-06-07,2013-03-12,2013-05-08,9,0,1029,0,0,0 +2649,douglas delarosa,douglas,delarosa,2013-09-20,Male,1950-01-31,66,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-09-19 10:18:25,2013-09-20 08:42:02,13013213CF10A,,2013-09-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-09-19,2013-09-20,1,0,924,0,0,0 +2650,tanamra brackett,tanamra,brackett,2014-03-25,Female,1975-06-30,40,25 - 45,African-American,0,1,0,0,0,0,2014-03-25 12:36:32,2014-03-25 08:18:56,14004157CF10A,2014-03-24,,1,F,Grand Theft in the 1st Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-25,Risk of Violence,1,Low,2014-03-25,2014-03-25,2014-03-25,0,0,738,0,0,0 +2651,herbert lindsey,herbert,lindsey,2013-08-02,Male,1956-12-13,59,Greater than 45,African-American,0,2,0,0,4,0,2013-08-02 04:48:15,2013-08-03 04:06:59,13014713MM10A,2013-08-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-02,Risk of Violence,2,Low,2013-08-02,2013-08-02,2013-08-03,4,1,973,0,0,0 +2652,felix payne,felix,payne,2013-10-31,Male,1990-06-21,25,25 - 45,African-American,0,7,0,0,5,118,2014-02-26 09:11:49,2014-05-22 11:09:00,11018917CF10A,,2013-07-03,120,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-31,Risk of Violence,7,Medium,2013-10-31,2014-02-26,2014-05-22,5,0,118,0,0,0 +2654,michael duplessy,michael,duplessy,2013-10-18,Male,1988-09-30,27,25 - 45,African-American,0,7,0,0,3,-23,2013-09-25 04:20:19,2013-09-26 09:32:53,13010603TC20A,2013-01-09,,282,M,Leave Accd/Attend Veh/Less $50,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-18,Risk of Violence,3,Low,2013-10-18,2013-09-25,2013-09-26,3,0,896,0,0,0 +2655,giovanni bonair,giovanni,bonair,2013-01-10,Male,1993-11-17,22,Less than 25,African-American,0,3,0,0,0,-1,2013-01-09 08:21:48,2013-01-10 01:28:55,13000390CF10A,2013-01-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,6,Medium,2013-01-10,2013-01-09,2013-01-10,0,0,1177,0,0,0 +2656,douglas bergman,douglas,bergman,2013-05-17,Male,1958-01-31,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-05-16 01:20:39,2013-05-17 01:12:54,13007010CF10A,2013-05-16,,1,F,Fel Drive License Perm Revoke,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-17,Risk of Violence,1,Low,2013-05-17,2014-01-13,2014-01-16,1,0,241,0,0,0 +2657,roy jones,roy,jones,2013-03-06,Male,1967-02-20,49,Greater than 45,African-American,0,1,0,0,1,,,,13004499MM10A,2013-03-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,1,Low,2013-03-06,,,1,0,1122,0,0,0 +2658,ernesto chao,ernesto,chao,2014-01-06,Male,1986-09-28,29,25 - 45,Caucasian,0,3,0,0,2,-2,2014-01-04 09:12:16,2014-01-06 11:05:13,14000156CF10A,2014-01-04,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-06,Risk of Violence,2,Low,2014-01-06,2014-01-04,2014-01-06,2,0,816,0,0,0 +2662,fernando lopez,fernando,lopez,2013-12-04,Male,1991-07-17,24,Less than 25,African-American,0,4,0,0,2,203,2014-06-25 08:43:02,2014-07-01 11:20:30,12013210CF10A,2012-09-07,,453,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-04,Risk of Violence,3,Low,2013-12-04,2014-06-25,2014-07-01,2,0,203,0,0,0 +2664,lawrence cottle,lawrence,cottle,2013-11-13,Male,1988-11-27,27,25 - 45,African-American,0,8,0,0,0,-1,2013-11-12 08:49:59,2014-01-12 07:13:33,13015730CF10A,2013-11-12,,1,F,Aggravated Assault W/Dead Weap,1,15008602CF10A,(F2),0,2015-07-05,Throw Deadly Missile Into Veh,2015-07-05,2015-07-08,,1,15008602CF10A,(F2),2015-07-05,Throw Deadly Missile Into Veh,Risk of Recidivism,8,High,2013-11-13,Risk of Violence,7,Medium,2013-11-13,2014-08-09,2014-09-11,0,60,269,0,1,1 +2667,david turner,david,turner,2013-03-04,Male,1991-08-26,24,Less than 25,Caucasian,0,5,0,0,0,-3,2013-03-01 11:53:52,2013-03-03 01:39:58,13003099CF10A,2013-03-01,,3,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-04,Risk of Violence,4,Low,2013-03-04,2015-04-11,2015-04-16,0,0,768,0,0,0 +2668,shannon morsillo,shannon,morsillo,2013-09-16,Female,1980-05-22,35,25 - 45,Caucasian,0,4,1,0,3,0,2013-09-16 02:49:07,2013-09-16 07:49:06,13013067CF10A,2013-09-16,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-16,Risk of Violence,2,Low,2013-09-16,2013-09-16,2013-09-16,3,0,928,0,0,0 +2669,bruce siegel,bruce,siegel,2013-02-20,Male,1950-05-31,65,Greater than 45,Caucasian,0,3,0,0,4,,,,12025503MM10A,2012-12-14,,68,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,,,4,0,1136,0,0,0 +2672,ivory miller,ivory,miller,2013-05-02,Male,1985-12-17,30,25 - 45,African-American,1,9,0,0,5,-1,2013-05-01 01:32:49,2013-05-03 03:49:21,13006251CF10A,2013-05-01,,1,F,Aggravated Assault W/dead Weap,1,14010717MM10A,(M1),0,2014-07-13,Resist/Obstruct W/O Violence,2014-07-13,2014-07-16,,1,14010717MM10A,(M1),2014-07-13,Battery,Risk of Recidivism,9,High,2013-05-02,Risk of Violence,6,Medium,2013-05-02,2014-07-13,2014-07-16,5,1,437,1,1,1 +2673,jarvis mccloud,jarvis,mccloud,2013-01-18,Male,1992-06-26,23,Less than 25,African-American,0,2,1,1,1,-1,2013-01-17 01:19:27,2013-01-19 09:27:19,13000826CF10A,2013-01-17,,1,F,Possession Burglary Tools,1,15010350MM10A,(M1),,2015-09-07,Battery,,,,1,15010350MM10A,(M1),2015-09-07,Battery,Risk of Recidivism,2,Low,2013-01-18,Risk of Violence,4,Low,2013-01-18,2013-08-29,2013-09-05,1,1,223,0,0,0 +2676,jonathan gordon,jonathan,gordon,2014-07-02,Male,1983-04-28,32,25 - 45,Caucasian,0,4,0,0,2,-27,2014-06-05 11:53:48,2014-06-06 02:23:00,14007774CF10A,2014-06-05,,27,F,Possession Of Heroin,1,15001926CF10A,(F7),,2015-02-05,Burglary Dwelling Armed,,,,1,15001926CF10A,(F7),2015-02-05,Burglary Dwelling Armed,Risk of Recidivism,4,Low,2014-07-02,Risk of Violence,1,Low,2014-07-02,2014-06-05,2014-06-06,2,0,218,1,1,1 +2677,nicholas staggewise,nicholas,staggewise,2013-09-24,Male,1994-02-28,22,Less than 25,Caucasian,0,5,0,0,2,-1,2013-09-23 09:01:58,2013-09-27 03:54:42,13013378CF10A,,2013-09-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-24,Risk of Violence,5,Medium,2013-09-24,2013-09-23,2013-09-27,2,3,920,0,0,0 +2678,kevin pierrelouis,kevin,pierrelouis,2013-12-28,Male,1994-10-06,21,Less than 25,African-American,0,3,0,0,0,-1,2013-12-27 04:28:14,2013-12-28 08:24:11,13023881MM10A,2013-12-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-28,Risk of Violence,5,Medium,2013-12-28,2013-12-27,2013-12-28,0,0,825,0,0,0 +2679,kelli smith,kelli,smith,2013-05-15,Female,1972-08-01,43,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-14 12:38:54,2013-05-14 11:35:49,13009244MM10A,2013-05-13,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,1,Low,2013-05-15,2013-05-14,2013-05-14,0,0,1052,0,0,0 +2680,jazze johnson,jazze,johnson,2013-05-14,Male,1986-09-29,29,25 - 45,African-American,0,8,0,0,0,-1,2013-05-13 07:26:35,2013-05-16 03:43:24,13006827CF10A,2013-05-13,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-14,Risk of Violence,4,Low,2013-05-14,2015-05-04,2015-08-19,0,2,720,0,0,0 +2681,terrill morley,terrill,morley,2014-02-15,Male,1972-08-04,43,25 - 45,African-American,0,3,0,0,1,0,2014-02-15 03:04:19,2014-02-17 01:40:03,14002175CF10A,2014-02-14,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-15,Risk of Violence,3,Low,2014-02-15,2014-02-15,2014-02-17,1,2,776,0,0,0 +2682,reynard burrows,reynard,burrows,2014-03-29,Male,1990-08-26,25,25 - 45,African-American,0,2,0,0,1,-1,2014-03-28 03:44:26,2014-03-30 04:49:22,14004408CF10A,,2014-03-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-29,Risk of Violence,3,Low,2014-03-29,2014-03-28,2014-03-30,1,1,734,0,0,0 +2683,rita iscaro,rita,iscaro,2013-10-09,Male,1968-10-30,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-08 05:57:00,2013-10-09 08:10:17,13019142MM10A,2013-10-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-09,Risk of Violence,1,Low,2013-10-09,2013-10-08,2013-10-09,0,0,905,0,0,0 +2685,terri-ann gray,terri-ann,gray,2013-04-25,Female,1994-09-29,21,Less than 25,African-American,0,5,0,0,0,-2,2013-04-23 09:24:55,2013-04-24 01:57:08,13005850CF10A,2013-04-23,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-25,Risk of Violence,6,Medium,2013-04-25,2013-04-23,2013-04-24,0,0,1072,0,0,0 +2686,latia johnson,latia,johnson,2013-05-06,Female,1990-10-08,25,25 - 45,African-American,0,6,0,0,1,-100,2013-01-26 12:47:52,2013-01-26 08:48:00,09002935MM10A,2009-02-02,,1554,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-06,Risk of Violence,3,Low,2013-05-06,2013-01-26,2013-01-26,1,0,1061,0,0,0 +2687,jose somarriba-barrera,jose,somarriba-barrera,2013-10-19,Male,1961-12-05,54,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-19 12:42:06,2013-10-19 08:14:50,13019783MM10A,2013-10-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-19,Risk of Violence,1,Low,2013-10-19,2013-10-19,2013-10-19,0,0,895,0,0,0 +2688,brian fields,brian,fields,2013-02-07,Male,1982-01-19,34,25 - 45,African-American,0,1,0,1,3,-1,2013-02-06 12:54:19,2013-03-12 09:26:08,13001879CF10A,2013-02-06,,1,F,Lewd Act Presence Child 16-,1,13002546CF10A,(F1),32,2013-02-15,Sex Batt Faml/Cust Vict 12-17Y,2013-03-19,2013-03-20,,1,13002546CF10A,(F1),2013-02-15,Sex Batt Faml/Cust Vict 12-17Y,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2013-02-06,2013-03-12,3,0,8,1,1,1 +2689,laura elsy,laura,elsy,2013-04-08,Female,1988-03-21,28,25 - 45,African-American,0,2,0,0,2,-1,2013-04-07 06:55:46,2013-04-08 08:22:48,13006661MM10A,2013-04-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-07,2013-04-08,2,0,1089,0,0,0 +2691,kelly lestrade,kelly,lestrade,2013-01-31,Male,1961-11-24,54,Greater than 45,African-American,0,1,0,0,0,0,2013-01-31 12:10:19,2013-01-31 07:49:24,13002173MO10A,2013-01-30,,1,M,Soliciting For Prostitution,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-31,Risk of Violence,1,Low,2013-01-31,2013-01-31,2013-01-31,0,0,1156,0,0,0 +2696,antonio taylor,antonio,taylor,2013-10-30,Male,1981-09-28,34,25 - 45,African-American,0,4,0,0,2,-1,2013-10-29 05:28:11,2013-10-30 02:05:14,13015099CF10A,2013-10-29,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2015-07-17,2015-07-18,2,0,625,0,0,0 +2697,arturo torres,arturo,torres,2013-11-05,Male,1965-08-01,50,Greater than 45,Hispanic,0,9,0,0,11,-210,2013-04-09 12:06:10,2013-08-01 11:15:00,13007781MM10A,2013-04-09,,210,M,Extradition/Defendants,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-05,Risk of Violence,3,Low,2013-11-05,2013-04-09,2013-08-01,11,0,878,0,0,0 +2700,chantel fleurima,chantel,fleurima,2014-02-06,Male,1993-06-09,22,Less than 25,African-American,0,4,0,0,0,-1,2014-02-05 06:45:32,2014-02-06 08:17:45,14001662CF10A,2014-02-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-06,Risk of Violence,5,Medium,2014-02-06,2014-02-05,2014-02-06,0,0,785,0,0,0 +2703,willie butler,willie,butler,2014-01-22,Male,1964-09-08,51,Greater than 45,African-American,0,7,0,0,3,0,2014-01-22 12:07:26,2014-01-22 08:34:55,14000928CF10A,2014-01-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-22,Risk of Violence,4,Low,2014-01-22,2014-01-22,2014-01-22,3,0,800,0,0,0 +2706,ashley collins,ashley,collins,2013-04-04,Female,1987-10-25,28,25 - 45,African-American,0,5,0,0,1,-43,2013-02-20 01:20:12,2013-02-21 09:23:01,13002615CF10A,2013-02-20,,43,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-04,Risk of Violence,5,Medium,2013-04-04,2013-10-16,2013-10-21,1,0,195,0,0,0 +2707,michael burkland,michael,burkland,2013-10-01,Male,1979-09-19,36,25 - 45,Caucasian,0,7,0,0,6,-126,2013-05-28 04:14:16,2013-05-30 12:55:17,13007627CF10A,2013-05-23,,131,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-01,Risk of Violence,3,Low,2013-10-01,2015-04-24,2015-05-06,6,0,570,0,0,0 +2708,atley greenslade,atley,greenslade,2013-01-24,Male,1987-09-12,28,25 - 45,African-American,0,6,0,1,5,-1,2013-01-23 11:19:27,2013-02-20 07:44:00,11006005MM10A,,2013-01-23,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-24,Risk of Violence,5,Medium,2013-01-24,2013-01-23,2013-02-20,5,27,1163,0,0,0 +2713,justin hyde,justin,hyde,2013-05-05,Male,1973-04-03,43,25 - 45,Caucasian,0,2,0,0,4,0,2013-05-05 03:19:14,2013-05-07 10:46:44,13008692MM10A,2013-05-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-05,Risk of Violence,4,Low,2013-05-05,2013-05-05,2013-05-07,4,2,1062,0,0,0 +2714,lazaro diaz,lazaro,diaz,2013-12-29,Male,1970-05-09,45,Greater than 45,Hispanic,0,6,0,0,1,-1,2013-12-28 11:13:04,2014-01-24 05:22:59,13023914MM10A,2013-12-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-29,Risk of Violence,3,Low,2013-12-29,2013-12-28,2014-01-24,1,26,824,0,0,0 +2720,asael rodriguez,asael,rodriguez,2013-04-01,Male,1974-11-05,41,25 - 45,Hispanic,0,1,0,0,1,-1,2013-03-31 07:44:17,2013-07-23 07:27:00,13004615CF10A,2013-03-31,,1,M,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-03-31,2013-07-23,1,113,1096,0,0,0 +2721,fandy fleurinord,fandy,fleurinord,2014-08-19,Male,1991-02-12,25,25 - 45,Other,20,10,0,0,24,-1,2014-08-18 10:49:05,2014-08-19 07:37:38,14011300CF10A,,2014-08-18,1,F,arrest case no charge,1,14015651MM10A,(M1),1,2014-09-28,Battery,2014-09-29,2015-02-05,,1,14013123CF10A,(F2),2014-09-28,Aggravated Battery / Pregnant,Risk of Recidivism,10,High,2014-08-19,Risk of Violence,6,Medium,2014-08-19,2014-09-29,2015-02-05,24,0,40,1,1,1 +2722,miguel rodriguez,miguel,rodriguez,2014-02-11,Male,1980-11-21,35,25 - 45,Hispanic,0,9,1,0,12,-1,2014-02-10 02:02:43,2014-02-20 10:54:05,14001877CF10A,2014-02-10,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-11,Risk of Violence,6,Medium,2014-02-11,2014-02-10,2014-02-20,12,9,780,0,0,0 +2728,wailim ng,wailim,ng,2014-02-27,Male,1991-07-05,24,Less than 25,Asian,0,3,0,0,0,-1,2014-02-26 03:41:51,2014-02-27 08:32:16,14003374MM10A,2014-02-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-27,Risk of Violence,4,Low,2014-02-27,2014-02-26,2014-02-27,0,0,764,0,0,0 +2730,braxton davis,braxton,davis,2013-08-08,Male,1994-11-13,21,Less than 25,African-American,0,6,0,0,3,34,2013-09-11 04:54:32,2013-11-13 06:42:11,13009258CF10A,2013-07-01,,38,F,Grand Theft (Motor Vehicle),1,13017303MM10A,(M1),0,2013-09-11,Resist/Obstruct W/O Violence,2013-09-11,2013-11-13,,1,15012154CF10A,(F2),2015-08-25,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-08-08,Risk of Violence,6,Medium,2013-08-08,2013-09-11,2013-11-13,3,0,34,1,1,1 +2731,arturo martinez,arturo,martinez,2013-08-26,Male,1987-10-23,28,25 - 45,Hispanic,0,4,0,0,0,-1,2013-08-25 01:21:23,2013-08-25 08:19:25,13011964CF10A,2013-08-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-26,Risk of Violence,4,Low,2013-08-26,2014-01-22,2014-01-24,0,0,149,0,0,0 +2733,louis ramo,louis,ramo,2013-10-24,Male,1957-01-11,59,Greater than 45,Other,0,1,0,0,1,,,,13014470CF10A,2013-10-15,,9,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,,,1,0,890,0,0,0 +2735,morell jones,morell,jones,2014-12-08,Male,1986-11-22,29,25 - 45,African-American,0,10,1,0,13,0,2014-12-08 12:41:35,2014-12-10 05:10:10,14016327CF10A,2014-12-08,,0,F,Poss Pyrrolidinovalerophenone,1,14016590CF10A,(F3),0,2014-12-14,Resist Officer w/Violence,2014-12-14,2015-11-24,,1,14016590CF10A,(M1),2014-12-14,Battery,Risk of Recidivism,10,High,2014-12-08,Risk of Violence,10,High,2014-12-08,2014-12-14,2015-11-24,13,2,6,1,1,1 +2737,kataruis brantley,kataruis,brantley,2014-03-06,Male,1989-06-19,26,25 - 45,African-American,0,8,0,0,9,-1,2014-03-05 09:51:09,2014-03-08 01:29:05,14003097CF10A,2014-03-05,,1,F,Drivg While Lic Suspd/Revk/Can,1,14004347CF10A,(F2),0,2014-03-27,Armed False Imprisonment,2014-03-27,2014-10-24,,1,14004347CF10A,(F2),2014-03-27,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,8,High,2014-03-06,Risk of Violence,7,Medium,2014-03-06,2014-03-27,2014-10-24,9,2,21,1,1,1 +2738,lucane jean-baptiste,lucane,jean-baptiste,2014-03-01,Male,1984-09-08,31,25 - 45,Other,0,1,0,0,0,-1,2014-02-28 09:25:17,2014-03-03 04:49:52,14003506MM10A,2014-02-28,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-01,Risk of Violence,1,Low,2014-03-01,2014-02-28,2014-03-03,0,2,762,0,0,0 +2745,nicholas lewis,nicholas,lewis,2013-04-07,Male,1987-10-06,28,25 - 45,Caucasian,0,7,0,0,0,0,2013-04-07 02:56:56,2013-04-08 03:59:28,13005001CF10A,2013-04-06,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-07,Risk of Violence,3,Low,2013-04-07,2013-11-29,2013-12-05,0,1,236,0,0,0 +2748,robert fox,robert,fox,2013-04-19,Male,1971-11-18,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-18 02:39:42,2013-04-18 07:19:45,13007540MM10A,2013-04-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-04-18,0,0,1078,0,0,0 +2749,carlos zuniga,carlos,zuniga,2013-05-11,Male,1973-08-13,42,25 - 45,African-American,0,5,0,0,7,-1,2013-05-10 07:11:40,2013-05-11 06:30:56,13006749CF10A,2013-05-10,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-11,Risk of Violence,3,Low,2013-05-11,2016-01-19,2016-01-20,7,0,983,0,0,0 +2750,cedric scott,cedric,scott,2013-05-23,Male,1976-04-24,39,25 - 45,African-American,0,7,0,0,5,-1,2013-05-22 02:25:27,2013-05-26 02:44:47,13007308CF10A,2013-05-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-23,Risk of Violence,4,Low,2013-05-23,2013-06-24,2013-07-04,5,3,32,0,0,0 +2751,maribell guzman,maribell,guzman,2013-12-18,Female,1969-05-31,46,Greater than 45,Hispanic,0,1,0,0,2,-1,2013-12-17 03:27:50,2013-12-20 07:38:29,13017408CF10A,2013-12-17,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-18,Risk of Violence,1,Low,2013-12-18,2013-12-17,2013-12-20,2,2,835,0,0,0 +2752,gino rijos,gino,rijos,2013-08-26,Male,1960-06-17,55,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-08-25 06:52:16,2013-09-04 08:36:18,13016258MM10A,2013-08-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-26,Risk of Violence,3,Low,2013-08-26,2013-08-25,2013-09-04,0,9,949,0,0,0 +2754,jennifer vitulano,jennifer,vitulano,2013-11-11,Female,1984-10-23,31,25 - 45,Caucasian,0,9,0,0,0,-1,2013-11-10 05:13:10,2013-11-15 03:36:58,13021208MM10A,2013-11-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-11,Risk of Violence,5,Medium,2013-11-11,2013-11-10,2013-11-15,0,4,872,0,0,0 +2758,jerome traverso,jerome,traverso,2013-09-18,Male,1991-04-06,25,25 - 45,African-American,0,2,0,0,0,-1,2013-09-17 07:20:44,2013-09-18 01:35:06,13013115CF10A,2013-09-17,,1,F,Poss Tetrahydrocannabinols,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-18,Risk of Violence,4,Low,2013-09-18,2013-09-17,2013-09-18,0,0,926,0,0,0 +2759,andrew millican,andrew,millican,2014-02-06,Male,1984-03-19,32,25 - 45,Caucasian,0,7,0,2,6,0,2014-02-06 04:39:20,2014-02-06 08:49:20,14004843MU10A,2014-02-06,,0,M,Refuse Submit Blood/Breath Test,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-06,Risk of Violence,4,Low,2014-02-06,2014-02-06,2014-02-06,6,0,785,0,0,0 +2760,frantz pierre,frantz,pierre,2013-03-11,Male,1979-12-03,36,25 - 45,African-American,0,5,0,0,2,-1,2013-03-10 07:15:50,2013-03-11 01:32:19,13003518CF10A,2013-03-10,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-11,Risk of Violence,4,Low,2013-03-11,2013-03-10,2013-03-11,2,0,1117,0,0,0 +2764,daniel muller,daniel,muller,2013-12-22,Male,1977-03-14,39,25 - 45,Caucasian,0,4,0,0,2,0,2013-12-22 12:50:58,2013-12-22 08:44:32,13023560MM10A,2013-12-21,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-22,Risk of Violence,2,Low,2013-12-22,2013-12-22,2013-12-22,2,0,831,0,0,0 +2765,andrienna sanchez,andrienna,sanchez,2013-08-01,Female,1989-09-08,26,25 - 45,African-American,0,2,0,0,0,0,2013-08-01 12:06:58,2013-08-01 07:33:02,13014467MM10A,2013-07-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-01,Risk of Violence,2,Low,2013-08-01,2013-08-01,2013-08-01,0,0,974,0,0,0 +2770,glenika pratt,glenika,pratt,2013-02-01,Female,1993-04-21,22,Less than 25,Other,0,4,0,0,0,-1,2013-01-31 04:40:20,2013-02-02 12:53:20,13001571CF10A,2013-01-31,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,5,Medium,2013-02-01,2013-01-31,2013-02-02,0,1,1155,0,0,0 +2771,gregory oktavec,gregory,oktavec,2013-04-22,Male,1979-01-31,37,25 - 45,Caucasian,0,1,0,0,3,-1,2013-04-21 07:57:11,2013-04-22 03:57:11,13007680MM10A,2013-04-21,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-21,2013-04-22,3,0,1075,0,0,0 +2776,rico davila,rico,davila,2013-01-12,Male,1975-03-11,41,25 - 45,Caucasian,0,6,0,0,9,-1,2013-01-11 08:17:58,2013-02-13 05:54:09,13000697MM10A,2013-01-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-12,Risk of Violence,2,Low,2013-01-12,2013-01-11,2013-02-13,9,32,1175,0,0,0 +2777,joe sanders,joe,sanders,2013-04-01,Male,1990-09-01,25,25 - 45,African-American,0,3,0,0,1,0,2013-04-01 01:23:05,2013-04-01 02:19:10,13006198MM10A,2013-03-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-01,Risk of Violence,3,Low,2013-04-01,2013-04-01,2013-04-01,1,0,1096,0,0,0 +2779,melody odonnell,melody,odonnell,2013-08-23,Female,1959-04-15,57,Greater than 45,Caucasian,0,1,0,0,3,,,,12006701CF10A,2012-05-05,,475,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-23,Risk of Violence,1,Low,2013-08-23,,,3,0,952,0,0,0 +2780,jaime londono,jaime,londono,2013-12-10,Male,1957-08-18,58,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-09 10:34:54,2013-12-10 01:12:56,13022803MM10A,2013-12-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-09,2013-12-10,0,0,843,0,0,0 +2782,charles hill,charles,hill,2014-08-20,Male,1971-11-13,44,25 - 45,African-American,2,9,0,0,19,-17,2014-08-03 01:39:31,2014-08-20 11:15:38,14011744MM10A,2014-08-03,,17,M,Battery,1,15002584CF10A,(M1),57,2015-01-07,Aggravated Battery / Pregnant,2015-03-05,2015-05-11,,1,15002584CF10A,(M1),2015-01-07,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2014-08-20,Risk of Violence,6,Medium,2014-08-20,2015-03-05,2015-05-11,19,0,140,1,1,1 +2786,corey mathis,corey,mathis,2013-05-27,Male,1987-11-21,28,25 - 45,African-American,0,4,0,0,1,0,2013-05-27 12:20:56,2013-06-12 10:12:20,13007555CF10A,2013-05-26,,1,F,Aggrav Stalking After Injunctn,1,15007291MM10A,(M1),0,2015-07-08,Possess Cannabis/20 Grams Or Less,2015-07-08,2015-07-09,,0,,,,,Risk of Recidivism,4,Low,2013-05-27,Risk of Violence,5,Medium,2013-05-27,2015-07-08,2015-07-09,1,16,772,1,0,0 +2788,glenn miller,glenn,miller,2013-12-25,Male,1962-03-11,54,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-24 11:18:23,2013-12-31 04:10:32,13017736CF10A,2013-12-24,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-25,Risk of Violence,1,Low,2013-12-25,2013-12-24,2013-12-31,0,6,828,0,0,0 +2789,justin herrera,justin,herrera,2013-04-14,Male,1994-08-28,21,Less than 25,Hispanic,0,4,0,0,0,657,2015-01-31 08:35:49,2015-03-25 08:41:02,13007134MM10A,2013-04-13,,1,M,Battery,1,15001448CF10A,(M1),0,2015-01-31,Criminal Mischief>$200<$1000,2015-01-31,2015-03-25,,1,15002607MM10A,(M1),2015-01-31,Battery,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,6,Medium,2013-04-14,2015-01-31,2015-03-25,0,0,657,1,1,1 +2790,francia omana,francia,omana,2013-11-13,Male,1972-09-10,43,25 - 45,Caucasian,0,4,0,0,0,-1,2013-11-12 09:31:37,2013-11-13 03:53:01,13021320MM10A,2013-11-12,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-13,Risk of Violence,1,Low,2013-11-13,2013-11-12,2013-11-13,0,0,870,0,0,0 +2792,johny dabrezil,johny,dabrezil,2013-09-05,Male,1984-12-12,31,25 - 45,African-American,0,10,0,0,5,0,2013-09-05 01:39:00,2013-09-05 07:44:12,13016952MM10A,2013-09-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-05,Risk of Violence,10,High,2013-09-05,2013-09-05,2013-09-05,5,0,939,0,0,0 +2793,jerome shaw,jerome,shaw,2013-02-03,Male,1985-05-02,30,25 - 45,African-American,4,10,1,0,11,0,2013-02-03 02:23:20,2013-05-31 05:51:07,13001696CF10A,2013-02-03,,0,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-03,Risk of Violence,9,High,2013-02-03,2013-02-03,2013-05-31,11,117,1153,0,0,0 +2800,emory harden,emory,harden,2013-04-15,Male,1991-10-04,24,Less than 25,African-American,0,7,0,0,0,-1,2013-04-14 10:11:00,2013-04-15 03:52:07,13007185MM10A,2013-04-14,,1,M,Possess Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-15,Risk of Violence,4,Low,2013-04-15,2013-04-14,2013-04-15,0,0,1082,0,0,0 +2802,nelson zuniga,nelson,zuniga,2014-02-13,Male,1972-05-16,43,25 - 45,Caucasian,0,1,0,0,0,0,2014-02-13 04:10:00,2014-02-13 12:52:46,14005820MU10A,2014-02-13,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2014-02-13,2014-02-13,0,0,778,0,0,0 +2805,tommie johnson,tommie,johnson,2013-08-23,Male,1964-09-13,51,Greater than 45,African-American,0,7,0,0,4,-44,2013-07-10 02:17:57,2013-08-09 08:53:49,13005432CF10A,,2013-07-09,45,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-23,Risk of Violence,6,Medium,2013-08-23,2013-07-10,2013-08-09,4,0,952,0,0,0 +2807,jeffrey mateo,jeffrey,mateo,2013-03-27,Male,1991-08-30,24,Less than 25,Hispanic,0,10,0,0,11,-15,2013-03-12 11:19:44,2013-03-13 01:53:48,13003630CF10A,2013-03-12,,15,F,Solicit Deliver Cocaine,1,13016634MM10A,(M1),0,2013-08-30,Battery,2013-08-30,2013-11-16,,1,13016634MM10A,(M1),2013-08-30,Battery,Risk of Recidivism,10,High,2013-03-27,Risk of Violence,8,High,2013-03-27,2013-08-30,2013-11-16,11,0,156,1,1,1 +2808,jose saborit,jose,saborit,2013-01-22,Male,1984-07-19,31,25 - 45,African-American,0,3,0,0,1,309,2013-11-27 09:45:07,2014-07-15 06:07:00,12018175CF10A,2012-12-13,,40,F,Attempt Burglary (Struct),1,16001489MM40A,(M1),,2016-02-26,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,2,Low,2013-01-22,2013-11-27,2014-07-15,1,0,309,0,0,0 +2809,kensley petit-frere,kensley,petit-frere,2013-01-10,Male,1992-08-16,23,Less than 25,African-American,0,3,0,0,0,-1,2013-01-09 05:06:14,2013-01-11 03:18:41,13000399CF10A,2013-01-09,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,4,Low,2013-01-10,2013-01-09,2013-01-11,0,1,1177,0,0,0 +2813,franklin green,franklin,green,2014-06-11,Male,1989-11-01,26,25 - 45,African-American,2,10,1,0,8,-85,2014-03-18 08:15:36,2014-06-11 01:10:37,14004699MM10A,2014-03-18,,85,M,Prowling/Loitering,1,15001760CF10A,(F3),0,2015-02-07,Possession Of Alprazolam,2015-02-07,2015-02-07,,1,15010569CF10A,(F3),2015-08-16,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-06-11,Risk of Violence,7,Medium,2014-06-11,2015-02-07,2015-02-07,8,0,241,0,1,1 +2817,jonathan waskiw,jonathan,waskiw,2014-01-02,Male,1988-04-23,27,25 - 45,Caucasian,0,9,0,0,1,-1,2014-01-01 04:41:12,2014-01-02 08:10:32,13012717CF10A,,2014-01-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-02,Risk of Violence,7,Medium,2014-01-02,2014-01-01,2014-01-02,1,0,820,0,0,0 +2820,eric tessler,eric,tessler,2013-04-07,Male,1950-01-16,66,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-06 11:23:02,2013-04-07 01:22:00,13006627MM10A,2013-04-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2013-04-06,2013-04-07,0,0,1090,0,0,0 +2821,courtney robichaud,courtney,robichaud,2013-11-14,Female,1979-04-24,36,25 - 45,Caucasian,0,4,0,1,3,0,2013-11-14 04:58:52,2013-12-09 09:49:51,13015818CF10A,2013-11-14,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-12-16,2013-12-18,3,25,32,0,0,0 +2828,diamond adamson,diamond,adamson,2014-10-29,Female,1993-07-17,22,Less than 25,African-American,0,7,0,0,0,0,2014-10-29 01:41:40,2014-10-29 07:55:17,14015675MM10A,2014-10-28,,1,M,Battery,1,14100640TC30A,(M2),,2014-11-11,Operating W/O Valid License,,,,1,15003583MM10A,(M1),2015-03-26,Battery,Risk of Recidivism,7,Medium,2014-10-29,Risk of Violence,5,Medium,2014-10-29,2015-03-26,2015-03-29,0,0,13,1,1,1 +2829,kelvin morales,kelvin,morales,2013-10-06,Male,1990-12-16,25,25 - 45,Hispanic,0,3,0,1,1,-1,2013-10-05 07:50:24,2013-10-06 07:37:01,13013986CF10A,2013-10-05,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-06,Risk of Violence,3,Low,2013-10-06,2013-10-05,2013-10-06,1,0,908,0,0,0 +2830,roosevelt major,roosevelt,major,2013-02-14,Male,1959-09-04,56,Greater than 45,African-American,0,1,0,0,4,-1,2013-02-13 04:09:26,2013-02-15 05:28:41,13002267CF10A,2013-02-13,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2013-02-13,2013-02-15,4,1,1142,0,0,0 +2834,jonathan harjo,jonathan,harjo,2013-11-05,Male,1987-03-19,29,25 - 45,Native American,0,2,0,0,1,37,2013-12-12 07:24:22,2014-01-14 08:20:31,13006333CF10A,2013-05-02,,187,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-05,Risk of Violence,2,Low,2013-11-05,2013-12-12,2014-01-14,1,0,37,0,0,0 +2837,naomi werman,naomi,werman,2014-02-19,Female,1958-02-24,58,Greater than 45,African-American,0,1,0,0,3,-18,2014-02-01 02:52:11,2014-02-19 11:14:31,13005769MM10A,,2014-02-18,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-19,Risk of Violence,1,Low,2014-02-19,2014-02-01,2014-02-19,3,0,772,0,0,0 +2841,clayton bigger,clayton,bigger,2013-05-02,Male,1991-11-10,24,Less than 25,Caucasian,0,5,1,2,3,0,2013-05-02 01:33:22,2013-05-02 04:51:19,13008474MM10A,2013-05-02,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-02,Risk of Violence,6,Medium,2013-05-02,2013-05-02,2013-05-02,3,0,1065,0,0,0 +2842,demetrius coleman,demetrius,coleman,2013-04-12,Male,1993-11-09,22,Less than 25,African-American,0,3,0,0,0,-1,2013-04-11 05:01:46,2013-06-21 05:27:12,13005241CF10A,2013-04-11,,1,F,Burglary Dwelling Armed,1,14014862MM10A,(M1),0,2014-10-10,Battery,2014-10-10,2015-01-15,,1,14014862MM10A,(M1),2014-10-10,Battery,Risk of Recidivism,3,Low,2013-04-12,Risk of Violence,6,Medium,2013-04-12,2014-10-10,2015-01-15,0,70,546,1,1,1 +2843,william cody,william,cody,2014-01-13,Male,1976-11-11,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-12 07:47:58,2014-01-13 02:23:05,14000575MM10A,2014-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-12,2014-01-13,0,0,809,0,0,0 +2848,garrick crawford,garrick,crawford,2013-12-15,Male,1992-11-04,23,Less than 25,Caucasian,0,8,0,0,0,0,2013-12-15 05:17:34,2013-12-18 06:00:00,13023226MM10A,2013-12-15,,0,M,Viol Pretrial Release Dom Viol,1,14002300CF10A,(F2),0,2014-02-18,Robbery / No Weapon,2014-02-18,2014-03-21,,1,14002300CF10A,(F2),2014-02-18,Robbery / No Weapon,Risk of Recidivism,8,High,2013-12-15,Risk of Violence,9,High,2013-12-15,2014-02-18,2014-03-21,0,3,65,1,1,1 +2851,yves exilus,yves,exilus,2014-02-02,Male,1977-01-01,39,25 - 45,Other,0,5,0,0,6,-1,2014-02-01 07:53:55,2014-02-27 09:58:59,14001446CF10A,2014-02-01,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-02,Risk of Violence,1,Low,2014-02-02,2014-02-01,2014-02-27,6,25,789,0,0,0 +2852,jeffrey joseph,jeffrey,joseph,2013-09-19,Male,1990-09-25,25,25 - 45,African-American,0,8,0,0,0,0,2013-09-19 04:53:03,2013-09-21 01:36:58,13013235CF10A,2013-09-19,,0,F,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-19,Risk of Violence,6,Medium,2013-09-19,2014-05-16,2014-07-31,0,2,239,0,0,0 +2856,marcus harvey,marcus,harvey,2013-08-22,Male,1990-03-17,26,25 - 45,African-American,0,6,0,0,6,-1,2013-08-21 12:18:44,2013-08-23 04:24:07,13011858CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2013-08-21,2013-08-23,6,1,953,0,0,0 +2857,shivaughn barrett,shivaughn,barrett,2013-01-08,Male,1990-09-07,25,25 - 45,African-American,0,9,0,1,2,-1,2013-01-07 07:36:11,2013-10-08 11:00:00,13000269CF10A,2013-01-07,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-08,Risk of Violence,8,High,2013-01-08,2014-06-06,2014-07-10,2,273,514,0,0,0 +2860,ricardo sinclair,ricardo,sinclair,2013-12-09,Male,1979-12-26,36,25 - 45,African-American,0,1,0,0,0,-3,2013-12-06 05:42:25,2013-12-07 02:22:24,13016913CF10A,2013-12-06,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,2014-11-19,2014-11-26,0,0,345,0,0,0 +2864,benjamin sapp,benjamin,sapp,2013-10-02,Male,1981-01-20,35,25 - 45,African-American,0,4,0,0,7,-23,2013-09-09 02:47:53,2013-09-09 07:07:40,13012753CF10A,2013-09-08,,24,F,Resist Officer w/Violence,1,14016290MM10A,(M1),0,2014-11-13,Battery,2014-11-13,2014-11-14,,1,14016290MM10A,(M1),2014-11-13,Battery,Risk of Recidivism,4,Low,2013-10-02,Risk of Violence,2,Low,2013-10-02,2014-11-13,2014-11-14,7,0,407,1,1,1 +2865,jovaughn walker,jovaughn,walker,2013-08-21,Male,1994-02-20,22,Less than 25,African-American,0,4,0,0,2,-1,2013-08-20 11:12:08,2013-08-22 07:39:05,13011708CF10A,2013-08-20,,1,F,Crim Use of Personal ID Info,1,14020971TC10A,(M2),0,2014-06-05,Unlaw LicTag/Sticker Attach,2014-06-05,2014-06-06,,1,16002969CF10A,(F3),2016-02-07,Aggravated Assault,Risk of Recidivism,4,Low,2013-08-21,Risk of Violence,6,Medium,2013-08-21,2014-06-05,2014-06-06,2,1,288,1,1,1 +2867,antonio monero,antonio,monero,2013-05-11,Male,1990-08-23,25,25 - 45,Caucasian,0,2,0,0,0,0,2013-05-11 01:13:34,2013-05-11 06:35:21,13006746CF10A,2013-05-10,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-11,Risk of Violence,3,Low,2013-05-11,2013-05-11,2013-05-11,0,0,1056,0,0,0 +2868,phillip rasskazov,phillip,rasskazov,2013-01-12,Male,1991-08-24,24,Less than 25,Caucasian,0,7,0,0,0,,,,13000699MM10A,2013-01-11,,1,M,Crim Attempt/Solicit/Consp,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-12,Risk of Violence,4,Low,2013-01-12,,,0,0,1175,0,0,0 +2869,domingo alonzo,domingo,alonzo,2013-11-12,Male,1979-10-25,36,25 - 45,Hispanic,0,1,0,0,0,-7,2013-11-05 07:01:36,2013-11-06 08:05:18,13020898MM10A,2013-11-05,,7,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-12,Risk of Violence,1,Low,2013-11-12,2013-11-05,2013-11-06,0,0,871,0,0,0 +2870,makeel stevens,makeel,stevens,2013-01-15,Male,1991-12-30,24,Less than 25,African-American,0,7,0,0,2,-1,2013-01-14 11:05:52,2013-01-26 12:04:24,13002145TC10A,2013-01-14,,1,M,Susp Drivers Lic 1st Offense,1,13023353MM10A,(M1),0,2013-11-25,Possess Cannabis/20 Grams Or Less,2013-11-25,2013-11-26,,1,14007409CF10A,(F3),2014-05-28,Aggravated Assault w/Firearm,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,7,Medium,2013-01-15,2013-01-30,2013-01-31,2,11,15,0,1,1 +2879,kyle sharp,kyle,sharp,2013-07-08,Male,1986-12-22,29,25 - 45,Caucasian,0,3,0,0,0,-2,2013-07-06 01:44:27,2013-07-07 01:34:55,13012829MM10A,2013-07-05,,3,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-08,Risk of Violence,1,Low,2013-07-08,2013-07-06,2013-07-07,0,0,998,0,0,0 +2880,chad hohle,chad,hohle,2013-09-16,Male,1965-05-14,50,Greater than 45,Caucasian,0,3,0,0,8,-1,2013-09-15 11:12:24,2014-03-07 03:16:00,13013027CF10A,2013-09-15,,1,F,DWI w/Inj Susp Lic / Habit Off,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-16,Risk of Violence,2,Low,2013-09-16,2013-09-15,2014-03-07,8,172,928,0,0,0 +2887,antonio lightbourn,antonio,lightbourn,2013-04-29,Male,1988-07-19,27,25 - 45,African-American,0,1,0,0,0,-1,2013-04-28 08:51:15,2013-04-29 12:45:59,13008159MM10A,2013-04-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,2,Low,2013-04-29,2013-04-28,2013-04-29,0,0,1068,0,0,0 +2891,gerald pena,gerald,pena,2013-02-16,Male,1994-04-20,21,Less than 25,Hispanic,0,5,0,0,1,-1,2013-02-15 11:10:37,2013-02-16 01:18:11,13003330MM10A,2013-02-15,,1,M,Possess Cannabis/20 Grams Or Less,1,14015184MO10A,(MO3),0,2014-10-18,Loitering/Prowling,2014-10-18,2014-10-19,,1,15006218MM10A,(M1),2015-06-07,Battery,Risk of Recidivism,5,Medium,2013-02-16,Risk of Violence,5,Medium,2013-02-16,2014-10-18,2014-10-19,1,0,609,1,1,1 +2892,edward tuck,edward,tuck,2013-05-19,Male,1958-03-18,58,Greater than 45,African-American,0,1,0,0,1,-1,2013-05-18 08:22:32,2013-07-18 08:18:26,12001737CF10A,,2013-05-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-19,Risk of Violence,1,Low,2013-05-19,2013-05-18,2013-07-18,1,60,1048,0,0,0 +2893,branden tyler,branden,tyler,2013-03-12,Male,1989-01-22,27,25 - 45,African-American,0,8,0,0,4,-1,2013-03-11 08:04:33,2013-04-13 08:56:18,13003596CF10A,2013-03-11,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-12,Risk of Violence,5,Medium,2013-03-12,2013-03-11,2013-04-13,4,32,1116,0,0,0 +2898,melissa mccaffery,melissa,mccaffery,2013-06-05,Female,1984-06-17,31,25 - 45,Caucasian,0,3,0,0,0,-5,2013-05-31 11:07:01,2013-06-01 08:46:14,13010493MM10A,2013-05-31,,5,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-05,Risk of Violence,2,Low,2013-06-05,2013-05-31,2013-06-01,0,0,1031,0,0,0 +2900,franck dozil,franck,dozil,2013-01-21,Male,1991-11-24,24,Less than 25,African-American,0,7,0,0,3,-1,2013-01-20 11:28:26,2013-01-27 02:04:07,12014745MM10A,,2013-01-20,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-21,Risk of Violence,7,Medium,2013-01-21,2013-01-20,2013-01-27,3,6,1166,0,0,0 +2902,robert hecht,robert,hecht,2013-10-09,Male,1972-07-14,43,25 - 45,Caucasian,0,1,0,0,0,-1,2013-10-08 05:27:12,2013-10-09 08:26:03,13019124MM10A,2013-10-08,,1,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-09,Risk of Violence,1,Low,2013-10-09,2013-10-08,2013-10-09,0,0,905,0,0,0 +2908,breon barnes,breon,barnes,2013-08-27,Male,1993-01-11,23,Less than 25,African-American,0,5,0,0,0,-1,2013-08-26 03:02:44,2013-08-29 04:55:55,13012043CF10A,2013-08-26,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-27,Risk of Violence,6,Medium,2013-08-27,2014-08-29,2014-12-26,0,2,367,0,0,0 +2910,sergio garcia,sergio,garcia,2013-10-16,Male,1974-02-13,42,25 - 45,Caucasian,0,4,0,0,0,-1,2013-10-15 10:30:48,2013-10-16 08:02:49,13019573MM10A,2013-10-15,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-16,Risk of Violence,1,Low,2013-10-16,2013-10-15,2013-10-16,0,0,898,0,0,0 +2911,shrieff poole,shrieff,poole,2014-08-14,Male,1981-05-14,34,25 - 45,African-American,0,2,0,0,0,,,,08022579MO10A,,2009-10-05,1774,M,arrest case no charge,1,14003292MM20A,(M1),,2014-11-29,Battery,,,,1,14003292MM20A,(M1),2014-11-29,Battery,Risk of Recidivism,2,Low,2014-08-14,Risk of Violence,2,Low,2014-08-14,,,0,0,107,1,1,1 +2913,jeremiah jennings,jeremiah,jennings,2013-08-19,Male,1985-09-11,30,25 - 45,African-American,0,10,3,0,18,-1,2013-08-18 07:29:15,2013-09-05 04:16:47,13015618MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-19,Risk of Violence,8,High,2013-08-19,2015-03-03,2015-03-09,18,17,561,0,0,0 +2914,terell rogers,terell,rogers,2013-01-09,Male,1986-08-13,29,25 - 45,African-American,0,9,0,0,1,-1,2013-01-08 06:02:56,2013-10-25 08:31:58,13000322CF10A,2013-01-08,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-09,Risk of Violence,7,Medium,2013-01-09,2013-01-08,2013-10-25,1,289,1178,0,0,0 +2917,kevin walsh,kevin,walsh,2013-04-15,Male,1989-06-12,26,25 - 45,Caucasian,0,4,0,1,3,-4,2013-04-11 01:25:44,2013-04-13 08:03:53,13007508MM10A,2013-04-11,,4,M,Petit Theft $100- $300,1,16000938MM40A,(M2),,2016-02-03,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-15,Risk of Violence,4,Low,2013-04-15,2013-07-29,2013-10-22,3,0,105,0,0,0 +2922,anthony dees,anthony,dees,2013-02-22,Male,1965-02-19,51,Greater than 45,African-American,0,7,0,0,5,0,2013-02-22 12:10:28,2013-02-27 05:48:51,11046593TC10A,2011-09-18,,523,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-22,Risk of Violence,5,Medium,2013-02-22,2013-02-22,2013-02-27,5,5,1134,0,0,0 +2923,danue walker,danue,walker,2013-08-01,Male,1979-06-11,36,25 - 45,Other,0,1,0,0,0,0,2013-08-01 12:11:18,2013-08-01 08:31:19,13014475MM10A,2013-07-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-08-01,2013-08-01,0,0,974,0,0,0 +2925,tyrone reyna,tyrone,reyna,2013-11-06,Male,1953-06-25,62,Greater than 45,Hispanic,0,1,0,0,0,-2,2013-11-04 01:53:24,2013-11-05 07:23:37,13020735MM10A,2013-11-03,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-06,Risk of Violence,1,Low,2013-11-06,2013-11-04,2013-11-05,0,0,877,0,0,0 +2928,rashaad davis,rashaad,davis,2014-02-26,Male,1980-12-31,35,25 - 45,African-American,0,2,0,0,1,-1,2014-02-25 02:40:00,2014-02-26 09:09:55,10077131TC30A,2010-07-17,,1320,M,Violation License Restrictions,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2014-02-25,2014-02-26,1,0,765,0,0,0 +2929,andres carmona,andres,carmona,2013-05-24,Male,1994-02-05,22,Less than 25,Caucasian,0,3,0,0,0,0,2013-05-24 04:43:42,2013-05-28 02:26:27,13007417CF10A,2013-05-24,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-24,Risk of Violence,5,Medium,2013-05-24,2013-09-09,2013-10-23,0,4,108,0,0,0 +2931,maxim ambroise,maxim,ambroise,2013-08-05,Male,1976-03-24,40,25 - 45,African-American,0,2,0,0,0,-3,2013-08-02 07:56:17,2013-08-03 08:03:57,13010927CF10A,2013-08-02,,3,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2013-08-02,2013-08-03,0,0,970,0,0,0 +2932,john sirmons,john,sirmons,2014-02-06,Male,1979-06-13,36,25 - 45,African-American,0,2,0,0,2,0,2014-02-06 06:31:29,2014-02-07 04:00:17,14001690CF10A,2014-02-06,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-02-06,2014-02-07,2,1,785,0,0,0 +2935,robert jacob,robert,jacob,2013-07-10,Male,1947-02-09,69,Greater than 45,Caucasian,0,1,0,0,0,-3,2013-07-07 11:26:52,2013-07-08 08:36:55,13012874MM10A,2013-07-07,,3,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-10,Risk of Violence,1,Low,2013-07-10,2013-07-07,2013-07-08,0,0,996,0,0,0 +2936,fabrice alexandre,fabrice,alexandre,2014-01-25,Male,1988-10-02,27,25 - 45,African-American,0,4,1,0,1,-1,2014-01-24 04:31:18,2014-02-01 04:57:27,14001056CF10A,2014-01-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-25,Risk of Violence,3,Low,2014-01-25,2014-01-24,2014-02-01,1,7,797,0,0,0 +2938,eric alston,eric,alston,2013-10-04,Male,1988-05-01,27,25 - 45,African-American,0,1,0,0,1,-2,2013-10-02 03:21:20,2013-10-04 12:05:39,13013849CF10A,2013-10-02,,2,F,Throw Deadly Missile Into Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,2,Low,2013-10-04,2014-04-10,2014-04-11,1,0,188,0,0,0 +2939,monica mompremier,monica,mompremier,2013-01-31,Female,1991-04-22,24,Less than 25,African-American,0,6,0,0,6,-1,2013-01-30 07:28:56,2013-12-06 07:37:33,11005074MM10B,,2013-01-30,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-31,Risk of Violence,7,Medium,2013-01-31,2015-01-12,2015-04-21,6,309,711,0,0,0 +2943,yuli gurlanik,yuli,gurlanik,2013-07-17,Male,1973-10-04,42,25 - 45,Caucasian,0,1,0,0,0,-7,2013-07-10 08:16:29,2013-07-13 03:05:27,13009676CF10A,2013-07-10,,7,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-17,Risk of Violence,1,Low,2013-07-17,2013-07-10,2013-07-13,0,0,989,0,0,0 +2946,juan guacaneme,juan,guacaneme,2013-10-16,Male,1990-10-06,25,25 - 45,Caucasian,0,3,0,0,1,-1,2013-10-15 04:42:54,2013-10-16 11:36:39,13014417CF10A,2013-10-15,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-16,Risk of Violence,2,Low,2013-10-16,2014-09-09,2014-09-10,1,0,328,0,0,0 +2951,michael clarke,michael,clarke,2013-11-28,Male,1990-05-07,25,25 - 45,African-American,0,4,0,0,0,-1,2013-11-27 09:02:38,2013-12-04 10:11:40,13016534CF10A,2013-11-27,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-28,Risk of Violence,4,Low,2013-11-28,2015-12-02,2015-12-03,0,6,734,0,0,0 +2952,gaellen fabre,gaellen,fabre,2013-03-07,Male,1993-12-14,22,Less than 25,African-American,0,3,0,0,0,-1,2013-03-06 08:19:03,2013-03-07 06:09:53,13003369CF10A,2013-03-06,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-07,Risk of Violence,5,Medium,2013-03-07,2013-03-06,2013-03-07,0,0,1121,0,0,0 +2954,philip picard,philip,picard,2013-02-06,Male,1994-08-22,21,Less than 25,Caucasian,0,4,0,0,0,-1,2013-02-05 07:50:29,2013-02-06 02:23:08,13001783CF10A,2013-02-05,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-06,Risk of Violence,7,Medium,2013-02-06,2013-02-05,2013-02-06,0,0,1150,0,0,0 +2955,christopher bryant,christopher,bryant,2013-09-08,Male,1985-09-11,30,25 - 45,African-American,0,2,0,0,1,0,2013-09-08 06:44:39,2013-09-10 03:35:08,13017093MM10A,2013-09-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-08,Risk of Violence,3,Low,2013-09-08,2013-09-08,2013-09-10,1,2,936,0,0,0 +2956,robert lallier,robert,lallier,2013-11-16,Male,1969-12-13,46,Greater than 45,Caucasian,0,5,0,0,9,0,2013-11-16 02:06:57,2013-11-20 05:42:41,13021581MM10A,2013-11-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-16,Risk of Violence,2,Low,2013-11-16,2013-11-16,2013-11-20,9,4,867,0,0,0 +2959,corey brown,corey,brown,2013-01-17,Male,1989-08-31,26,25 - 45,African-American,0,7,0,0,2,0,2013-01-17 05:17:57,2013-01-17 07:05:29,13001189MM10A,2013-01-17,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-17,Risk of Violence,7,Medium,2013-01-17,2013-01-17,2013-01-17,2,0,1170,0,0,0 +2962,david brown,david,brown,2013-08-29,Male,1976-01-15,40,25 - 45,African-American,0,1,0,0,1,-1,2013-08-28 06:36:56,2013-08-29 07:57:29,13016493MM10A,2013-08-27,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-29,Risk of Violence,2,Low,2013-08-29,2013-08-28,2013-08-29,1,0,946,0,0,0 +2963,dennis figueroalopez,dennis,figueroalopez,2013-10-03,Male,1981-06-25,34,25 - 45,Caucasian,0,4,0,0,0,-1,2013-10-02 07:42:44,2013-10-30 09:15:07,13013823CF10A,2013-10-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-03,Risk of Violence,3,Low,2013-10-03,2013-10-02,2013-10-30,0,27,911,0,0,0 +2965,stefano forero,stefano,forero,2013-02-16,Male,1987-11-20,28,25 - 45,Hispanic,0,5,0,0,3,-1,2013-02-15 07:09:29,2013-02-16 01:16:11,12078938TC20A,,2013-02-15,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-16,Risk of Violence,5,Medium,2013-02-16,2013-07-03,2013-07-04,3,0,137,0,0,0 +2969,ralph woodward,ralph,woodward,2014-05-01,Male,1956-11-18,59,Greater than 45,Caucasian,0,1,0,0,3,0,2014-05-01 04:27:00,2014-05-02 11:39:39,14016793MU10A,2014-05-01,,0,M,Driving Under The Influence,1,14017883MM10A,(M1),0,2014-12-19,Battery,2014-12-19,2015-01-03,,1,14017883MM10A,(M1),2014-12-19,Battery,Risk of Recidivism,1,Low,2014-05-01,Risk of Violence,1,Low,2014-05-01,2014-11-20,2014-11-23,3,1,203,0,1,1 +2970,charles frye,charles,frye,2013-02-10,Male,1979-01-08,37,25 - 45,Native American,0,2,0,0,0,-1,2013-02-09 11:48:32,2013-02-10 08:32:47,13002039CF10A,2013-02-09,,1,F,"Aggr Child Abuse-Torture,Punish",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-10,Risk of Violence,1,Low,2013-02-10,2013-02-09,2013-02-10,0,0,1146,0,0,0 +2972,aston bailey,aston,bailey,2014-02-23,Male,1965-11-28,50,Greater than 45,African-American,0,1,0,0,0,-1,2014-02-22 01:33:06,2014-02-24 02:04:00,14002523CF10A,2014-02-22,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-23,Risk of Violence,1,Low,2014-02-23,2014-02-22,2014-02-24,0,1,768,0,0,0 +2974,jeffrey scott,jeffrey,scott,2013-08-01,Male,1958-09-03,57,Greater than 45,African-American,0,5,0,0,8,-1,2013-07-31 05:54:37,2013-11-08 03:35:51,13013043CF10A,2013-07-31,,1,F,Felony Battery w/Prior Convict,1,13015640CF10A,(F2),0,2013-11-10,Throw Missile Into Pub/Priv Dw,2013-11-10,2014-05-14,,1,13015640CF10A,(F2),2013-11-10,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,5,Medium,2013-08-01,Risk of Violence,2,Low,2013-08-01,2013-11-10,2014-05-14,8,99,101,1,1,1 +2976,johan wyngaarde,johan,wyngaarde,2013-04-16,Male,1984-07-14,31,25 - 45,African-American,0,5,0,0,5,-1,2013-04-15 09:48:22,2013-04-16 07:51:31,13007298MM10A,2013-04-15,,1,M,Assault,1,15008901CF10A,(F3),0,2015-07-10,Possession Of Heroin,2015-07-10,2015-07-13,,0,,,,,Risk of Recidivism,5,Medium,2013-04-16,Risk of Violence,5,Medium,2013-04-16,2013-08-05,2013-08-08,5,0,111,0,0,0 +2977,patricia gibson,patricia,gibson,2014-03-01,Female,1965-01-27,51,Greater than 45,African-American,0,7,0,0,1,,,,10020216MM10A,2010-09-19,,1259,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-01,Risk of Violence,2,Low,2014-03-01,,,1,0,762,0,0,0 +2979,horace davis,horace,davis,2013-08-05,Male,1971-12-24,44,25 - 45,African-American,0,8,0,0,9,-28,2013-07-08 03:02:29,2013-08-02 11:00:32,13009558CF10A,2013-07-08,,28,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-05,Risk of Violence,6,Medium,2013-08-05,2014-07-23,2014-07-31,9,0,352,0,0,0 +2983,vanessa gonzalez,vanessa,gonzalez,2014-01-19,Female,1990-09-21,25,25 - 45,Caucasian,0,4,0,0,0,-1,2014-01-18 06:18:49,2014-01-19 08:45:11,14000808CF10A,2014-01-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-19,Risk of Violence,3,Low,2014-01-19,2014-01-18,2014-01-19,0,0,803,0,0,0 +2984,augusta howard,augusta,howard,2013-08-01,Male,1965-02-14,51,Greater than 45,African-American,0,3,0,0,5,-1,2013-07-31 04:28:15,2013-07-31 09:19:37,97045105TC30A,,1999-12-09,4984,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-07-31,2013-07-31,5,0,974,0,0,0 +2988,blair wright,blair,wright,2013-11-18,Male,1958-08-21,57,Greater than 45,Caucasian,0,1,0,0,2,-11,2013-11-07 01:02:54,2013-11-09 02:40:38,13015742CF10A,,2013-11-07,11,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-12-24,2013-12-24,2,0,36,0,0,0 +2990,antonio rivas,antonio,rivas,2013-12-09,Male,1960-07-14,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-08 10:00:24,2013-12-09 08:45:38,13022716MM10A,2013-12-08,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,2013-12-08,2013-12-09,0,0,844,0,0,0 +2992,elithanne lucthamas,elithanne,lucthamas,2014-03-25,Female,1974-02-12,42,25 - 45,African-American,0,1,0,0,0,0,2014-03-25 03:00:23,2014-03-25 08:06:06,14004243CF10A,2014-03-25,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-25,Risk of Violence,1,Low,2014-03-25,2014-03-25,2014-03-25,0,0,738,0,0,0 +2995,richard kemp,richard,kemp,2013-03-18,Male,1957-08-27,58,Greater than 45,African-American,0,9,0,0,16,-47,2013-01-30 04:44:55,2013-02-28 10:10:00,13001521CF10A,2013-01-30,,47,F,Felony Petit Theft,1,15014932CF10A,(F3),0,2015-11-17,Grand Theft in the 3rd Degree,2015-11-17,2015-12-22,,0,,,,,Risk of Recidivism,9,High,2013-03-18,Risk of Violence,9,High,2013-03-18,2014-06-27,2014-09-26,16,0,466,0,0,0 +2996,ilyess benamor,ilyess,benamor,2013-04-20,Male,1994-09-01,21,Less than 25,Other,0,4,0,0,0,-1,2013-04-19 11:52:35,2013-05-18 08:03:09,13005634CF10A,2013-04-19,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2013-04-19,2013-05-18,0,28,1077,0,0,0 +2998,julissa licona,julissa,licona,2013-09-04,Female,1991-07-22,24,Less than 25,Hispanic,0,4,0,0,0,0,2013-09-04 01:32:50,2013-09-04 01:46:03,13016860MM10A,2013-09-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-04,Risk of Violence,4,Low,2013-09-04,2013-09-04,2013-09-04,0,0,940,0,0,0 +3003,trevor russell,trevor,russell,2013-08-18,Male,1974-02-13,42,25 - 45,African-American,0,4,0,0,1,0,2013-08-18 01:50:02,2013-08-19 03:46:45,13011575CF10A,2013-08-17,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-18,Risk of Violence,2,Low,2013-08-18,2013-08-18,2013-08-19,1,1,957,0,0,0 +3005,chadwayne maragh,chadwayne,maragh,2013-05-25,Male,1994-10-14,21,Less than 25,African-American,0,6,0,0,1,-1,2013-05-24 04:57:35,2013-06-01 04:53:45,12017982CF10A,,2013-05-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-25,Risk of Violence,6,Medium,2013-05-25,2013-05-24,2013-06-01,1,7,1042,0,0,0 +3009,karl saldana,karl,saldana,2013-04-22,Male,1959-12-26,56,Greater than 45,Hispanic,0,4,0,0,8,,,,12007837CF10A,2012-05-27,,330,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-22,Risk of Violence,3,Low,2013-04-22,,,8,0,1075,0,0,0 +3010,thomas handy,thomas,handy,2013-10-03,Male,1957-09-17,58,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-03 02:20:47,2013-10-03 07:55:20,13018830MM10A,2013-10-02,,1,M,DUI Blood Alcohol Above 0.20,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-10-03,2013-10-03,0,0,911,0,0,0 +3020,devonah daniels,devonah,daniels,2013-02-26,Male,1969-11-23,46,Greater than 45,African-American,0,9,0,0,2,-1,2013-02-25 08:20:16,2013-02-26 06:41:08,13002868CF10A,2013-02-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-26,Risk of Violence,4,Low,2013-02-26,2013-11-12,2013-12-18,2,0,259,0,0,0 +3022,willie terry,willie,terry,2013-01-17,Male,1981-03-22,35,25 - 45,African-American,0,5,0,0,4,-1,2013-01-16 10:14:25,2013-02-15 01:55:17,13001137MM10A,2013-01-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-17,Risk of Violence,6,Medium,2013-01-17,2013-01-16,2013-02-15,4,29,1170,0,0,0 +3025,troy harris,troy,harris,2013-11-19,Male,1973-09-24,42,25 - 45,African-American,0,5,0,0,2,-1,2013-11-18 05:25:49,2013-11-19 02:03:11,13015997CF10A,2013-11-18,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-19,Risk of Violence,4,Low,2013-11-19,2013-11-18,2013-11-19,2,0,864,0,0,0 +3030,glenardo stubbs,glenardo,stubbs,2013-04-29,Male,1979-03-14,37,25 - 45,African-American,0,3,0,0,12,-74,2013-02-14 04:39:29,2013-03-11 09:00:46,11010599CF10A,,2013-02-14,74,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,2,Low,2013-04-29,2013-07-25,2013-08-22,12,0,87,0,0,0 +3032,geovanni casteel,geovanni,casteel,2013-02-04,Male,1983-09-14,32,25 - 45,African-American,0,4,0,1,8,-1,2013-02-03 06:34:52,2013-02-07 11:43:19,13001707CF10A,2013-02-03,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-04,Risk of Violence,2,Low,2013-02-04,2013-04-05,2013-05-14,8,3,60,0,0,0 +3033,julo victor,julo,victor,2013-03-11,Male,1984-09-22,31,25 - 45,Other,0,6,0,0,5,-1,2013-03-10 08:28:08,2013-03-13 12:29:20,13003527CF10A,2013-03-10,,1,F,Grand Theft in the 3rd Degree,1,15008288MM10A,(M1),0,2015-08-05,Possess Cannabis/20 Grams Or Less,2015-08-05,2015-08-06,,0,,,,,Risk of Recidivism,6,Medium,2013-03-11,Risk of Violence,4,Low,2013-03-11,2015-08-05,2015-08-06,5,2,877,1,0,0 +3034,shemeka suggs,shemeka,suggs,2013-05-01,Female,1982-06-27,33,25 - 45,African-American,0,1,0,0,1,-1,2013-04-30 12:54:45,2013-05-02 12:26:52,13008355MM10A,2013-04-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-04-30,2013-05-02,1,1,1066,0,0,0 +3035,ivan parra,ivan,parra,2013-01-10,Male,1990-10-28,25,25 - 45,Caucasian,0,4,0,0,4,-1,2013-01-09 02:20:36,2013-07-11 06:30:31,13000358CF10A,2013-01-09,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-10,Risk of Violence,4,Low,2013-01-10,2013-07-11,2013-12-01,4,325,1177,0,0,0 +3036,tanika brownlee,tanika,brownlee,2014-03-20,Female,1982-11-01,33,25 - 45,African-American,0,1,0,0,0,-1,2014-03-19 08:34:38,2014-03-20 10:14:22,14004793MM10A,2014-03-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-03-19,2014-03-20,0,0,743,0,0,0 +3037,xavier ramos,xavier,ramos,2013-12-13,Male,1995-02-01,21,Less than 25,Hispanic,0,5,0,0,1,-1,2013-12-12 10:48:59,2013-12-13 08:38:42,13013750CF10A,,2013-12-12,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-13,Risk of Violence,9,High,2013-12-13,2013-12-12,2013-12-13,1,0,840,0,0,0 +3038,charlotte nicholas,charlotte,nicholas,2013-09-06,Female,1951-09-19,64,Greater than 45,Caucasian,0,3,0,0,7,123,2014-01-07 01:01:49,2014-03-24 04:05:57,12010888MM10A,2012-03-19,,536,M,Expired DL More Than 6 Months,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2014-01-07,2014-03-24,7,0,123,0,0,0 +3040,samuel clarke,samuel,clarke,2013-11-06,Male,1959-09-03,56,Greater than 45,African-American,0,1,0,0,1,-22,2013-10-15 09:44:46,2013-10-18 07:16:45,13014397CF10A,,2013-10-15,22,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-06,Risk of Violence,1,Low,2013-11-06,2013-10-15,2013-10-18,1,0,877,0,0,0 +3041,david munoz,david,munoz,2013-01-28,Male,1977-10-13,38,25 - 45,Caucasian,0,3,0,0,0,-1,2013-01-27 09:20:52,2013-01-30 05:11:21,13001930MM10A,2013-01-27,,1,M,Battery,1,14013062MM10A,(M1),0,2014-08-31,Battery,2014-08-31,2014-09-01,,1,14013062MM10A,(M1),2014-08-31,Battery,Risk of Recidivism,3,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2014-08-31,2014-09-01,0,2,580,1,1,1 +3042,lawanneka burton,lawanneka,burton,2013-03-09,Female,1975-12-07,40,25 - 45,African-American,0,1,0,0,4,-1,2013-03-08 06:47:59,2013-03-09 12:05:57,13000085MM30A,,2013-03-08,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,4,0,1119,0,0,0 +3043,christon clark,christon,clark,2013-07-12,Male,1981-09-09,34,25 - 45,African-American,0,7,0,0,3,-105,2013-03-29 10:29:49,2013-07-02 09:55:00,10016002CF10A,,2013-03-29,105,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-07-12,Risk of Violence,6,Medium,2013-07-12,2013-12-28,2014-04-23,3,0,169,0,0,0 +3046,zackery mcburrows,zackery,mcburrows,2013-08-09,Male,1988-04-05,28,25 - 45,African-American,0,4,0,1,4,-1,2013-08-08 07:17:53,2013-08-09 08:35:26,13011107CF10A,2013-08-08,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-09,Risk of Violence,3,Low,2013-08-09,2013-09-25,2013-10-19,4,0,47,0,0,0 +3051,maurice terry,maurice,terry,2013-01-18,Male,1964-06-09,51,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-17 06:26:46,2013-01-18 08:47:55,13001194MM10A,2013-01-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-17,2013-01-18,0,0,1169,0,0,0 +3053,bryan boyd,bryan,boyd,2013-09-16,Male,1980-11-01,35,25 - 45,African-American,0,2,0,0,2,-1,2013-09-15 05:04:42,2013-09-17 04:20:35,13017567MM10A,2013-09-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-16,Risk of Violence,2,Low,2013-09-16,2013-09-15,2013-09-17,2,1,928,0,0,0 +3055,leonard newton,leonard,newton,2013-01-24,Male,1954-09-05,61,Greater than 45,African-American,0,2,0,0,5,-13,2013-01-11 04:45:49,2013-01-23 08:42:55,13000529CF10A,2013-01-11,,13,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2013-06-30,2013-08-16,5,0,157,0,0,0 +3056,tommy moore,tommy,moore,2014-03-05,Male,1990-05-12,25,25 - 45,African-American,0,3,0,0,0,0,2014-03-05 05:26:09,2014-03-06 08:20:58,14003107CF10A,2014-03-05,,0,F,Poss Unlaw Issue Driver Licenc,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-05,Risk of Violence,4,Low,2014-03-05,2014-03-05,2014-03-06,0,1,758,0,0,0 +3058,jamar johnson,jamar,johnson,2013-02-17,Male,1989-08-25,26,25 - 45,African-American,0,5,0,0,0,0,2013-02-17 01:06:03,2013-02-17 11:01:50,13003392MM10A,2013-02-16,,1,M,Petit Theft,1,16007599MU10A,(M1),0,2016-03-26,,2016-03-26,2016-03-27,,0,,,,,Risk of Recidivism,5,Medium,2013-02-17,Risk of Violence,4,Low,2013-02-17,2016-03-26,2016-03-27,0,0,1133,1,0,0 +3064,alexey ryabov,alexey,ryabov,2014-02-02,Male,1973-06-28,42,25 - 45,Caucasian,0,1,0,0,1,-1,2014-02-01 11:16:39,2014-02-04 05:23:00,14001775MM10A,2014-02-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,1,Low,2014-02-02,2014-02-01,2014-02-04,1,2,789,0,0,0 +3066,cowania ferguson,cowania,ferguson,2013-04-01,Female,1991-03-28,25,25 - 45,African-American,0,4,0,0,1,-10,2013-03-22 09:50:36,2013-03-23 07:50:42,13004189CF10A,2013-03-22,,10,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-01,Risk of Violence,4,Low,2013-04-01,2015-02-18,2015-02-24,1,0,688,0,0,0 +3068,zachery griffin,zachery,griffin,2013-03-01,Male,1985-04-12,31,25 - 45,African-American,0,7,0,0,9,-1,2013-02-28 10:35:31,2013-03-01 08:06:02,13003064CF10A,2013-02-28,,1,F,Poss of Methylethcathinone,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-01,Risk of Violence,3,Low,2013-03-01,2015-06-02,2020-01-01,9,0,823,0,0,0 +3069,david paris,david,paris,2013-05-29,Male,1980-09-25,35,25 - 45,Caucasian,0,2,0,1,1,-1,2013-05-28 03:54:12,2013-05-29 04:20:25,13007625CF10A,2013-05-28,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-28,2013-05-29,1,0,1038,0,0,0 +3074,brian denby,brian,denby,2013-01-29,Male,1982-02-23,34,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-28 01:41:49,2013-05-24 07:34:24,13001398CF10A,2013-01-28,,1,F,Lewd/Lasc Battery Pers 12+/<16,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-28,2013-05-24,0,115,1158,0,0,0 +3075,ronaldo blevins,ronaldo,blevins,2013-09-05,Male,1969-11-23,46,Greater than 45,Caucasian,0,1,0,0,5,-93,2013-06-04 12:36:33,2013-06-04 12:47:00,13015202TC10A,,2013-06-04,93,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-05,Risk of Violence,1,Low,2013-09-05,2013-12-18,2013-12-19,5,0,104,0,0,0 +3078,clara torres,clara,torres,2013-08-12,Female,1982-08-12,33,25 - 45,Caucasian,0,2,0,0,1,-1,2013-08-11 09:15:50,2013-08-12 02:12:09,13015161MM10A,2013-08-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-12,Risk of Violence,2,Low,2013-08-12,2013-08-11,2013-08-12,1,0,963,0,0,0 +3081,livingstone wright,livingstone,wright,2014-02-18,Male,1986-03-01,30,25 - 45,African-American,0,2,0,1,3,-1,2014-02-17 08:23:12,2014-02-18 01:12:50,14002242CF10A,2014-02-17,,1,F,Carrying Concealed Firearm,1,16012051TC40A,(M2),,2016-03-01,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-18,Risk of Violence,2,Low,2014-02-18,2014-02-17,2014-02-18,3,0,742,1,0,0 +3084,yolanda young,yolanda,young,2013-12-12,Female,1966-03-07,50,Greater than 45,African-American,0,4,0,0,7,-1,2013-12-11 07:36:50,2013-12-12 09:27:58,13022943MM10A,2013-12-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-12,Risk of Violence,1,Low,2013-12-12,2013-12-11,2013-12-12,7,0,841,0,0,0 +3085,winston forbes,winston,forbes,2013-05-02,Male,1994-06-03,21,Less than 25,African-American,0,5,0,0,0,-1,2013-05-01 07:42:32,2013-06-20 11:32:07,13006268CF10A,2013-05-01,,1,F,Burglary Dwelling Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-02,Risk of Violence,7,Medium,2013-05-02,2014-02-24,2014-05-16,0,49,298,0,0,0 +3089,phyllis laurent,phyllis,laurent,2013-04-14,Female,1992-05-08,23,Less than 25,African-American,0,4,0,0,0,-1,2013-04-13 12:17:02,2013-04-14 07:40:07,13007166MM10A,2013-04-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,4,Low,2013-04-14,2013-04-13,2013-04-14,0,0,1083,0,0,0 +3090,james bradley,james,bradley,2013-01-27,Male,1990-06-05,25,25 - 45,African-American,0,6,0,0,1,0,2013-01-27 06:04:54,2013-01-29 04:29:16,13001315CF10A,2013-01-27,,0,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2015-03-30,2015-04-28,1,2,792,0,0,0 +3093,tristynn francis,tristynn,francis,2013-08-20,Female,1991-11-03,24,Less than 25,Caucasian,0,5,0,0,1,-1,2013-08-19 04:57:00,2013-08-20 06:13:54,13011618CF10A,,2013-08-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-20,Risk of Violence,4,Low,2013-08-20,2013-08-19,2013-08-20,1,0,955,0,0,0 +3096,emmanuel raymond,emmanuel,raymond,2013-08-18,Male,1955-07-08,60,Greater than 45,African-American,0,1,0,0,0,-1,2013-08-17 04:50:08,2013-08-19 07:18:58,13011535CF10A,2013-08-17,,1,F,Grand Theft in the 3rd Degree,1,15001770MM30A,(M1),,2015-11-08,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-18,Risk of Violence,1,Low,2013-08-18,2013-08-17,2013-08-19,0,1,812,1,0,0 +3101,claudy joseph,claudy,joseph,2013-01-16,Male,1986-01-30,30,25 - 45,African-American,0,2,0,0,2,-1,2013-01-15 09:30:53,2013-01-16 01:24:06,12006115CF10A,,2013-01-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,3,Low,2013-01-16,2014-12-22,2014-12-23,2,0,705,0,0,0 +3104,johane kemp,johane,kemp,2013-04-30,Female,1983-10-22,32,25 - 45,Other,0,1,0,0,0,-1,2013-04-29 06:48:57,2013-04-30 02:02:05,13008298MM10A,2013-04-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-29,2013-04-30,0,0,1067,0,0,0 +3107,richard lemmon,richard,lemmon,2014-03-28,Male,1970-03-27,46,Greater than 45,Caucasian,0,1,0,0,0,0,2014-03-28 03:06:42,2014-03-28 01:21:28,14012341MU10A,2014-03-27,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-28,Risk of Violence,1,Low,2014-03-28,2014-03-28,2014-03-28,0,0,735,0,0,0 +3110,paola arango,paola,arango,2014-06-14,Male,1994-10-21,21,Less than 25,Caucasian,0,4,0,1,0,-1,2014-06-13 03:47:26,2014-06-14 01:59:39,14009363MM10A,2014-06-13,,1,M,Battery,1,15001697MM20A,(M1),,2015-06-29,Battery,,,,1,15001697MM20A,(M1),2015-06-29,Battery,Risk of Recidivism,4,Low,2014-06-14,Risk of Violence,5,Medium,2014-06-14,2014-06-13,2014-06-14,0,0,380,1,1,1 +3111,broderick westbrook,broderick,westbrook,2013-04-01,Male,1987-05-02,28,25 - 45,African-American,4,9,0,0,6,,,,11025606MM10A,2011-11-21,,497,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-01,Risk of Violence,9,High,2013-04-01,2005-01-18,2006-07-17,6,0,1096,0,0,0 +3112,emmanuel brown,emmanuel,brown,2013-05-22,Male,1980-08-20,35,25 - 45,African-American,0,8,0,0,0,-1,2013-05-21 04:36:41,2013-05-22 07:44:42,13007247CF10A,2013-05-21,,1,F,Pos Cannabis W/Intent Sel/Del,1,16008420TC40A,(M2),,2016-01-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,8,High,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-21,2013-05-22,0,0,955,1,0,0 +3115,mary oneal,mary,oneal,2013-10-09,Female,1975-12-03,40,25 - 45,African-American,0,4,0,0,7,-33,2013-09-06 05:20:15,2013-09-08 01:45:57,13017027MM10A,2013-09-06,,33,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-09,Risk of Violence,1,Low,2013-10-09,2014-01-21,2014-01-24,7,0,104,0,0,0 +3118,jarrod jones,jarrod,jones,2013-04-27,Male,1987-04-30,28,25 - 45,African-American,0,4,0,0,2,0,2013-04-27 10:40:34,2013-04-30 07:29:42,13008138MM10A,2013-04-27,,0,M,Resist/Obstruct W/O Violence,1,15007603CF10A,(F3),0,2015-06-10,Retail Theft $300 1st Offense,2015-06-10,2015-06-11,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,3,Low,2013-04-27,2015-01-05,2015-01-06,2,3,618,0,0,0 +3122,shawn carter,shawn,carter,2013-05-19,Male,1969-08-24,46,Greater than 45,Caucasian,0,4,0,1,2,-1,2013-05-18 04:22:57,2013-05-21 07:08:22,13009578MM10A,2013-05-18,,1,M,Possess Cannabis/20 Grams Or Less,1,15006360MO10A,(CO3),0,2015-06-11,Drink/Premises Licensed Estab,2015-06-11,2015-06-12,,0,,,,,Risk of Recidivism,4,Low,2013-05-19,Risk of Violence,1,Low,2013-05-19,2015-06-11,2015-06-12,2,2,753,1,0,0 +3129,derick daniels,derick,daniels,2013-10-30,Male,1959-10-13,56,Greater than 45,African-American,0,2,0,0,1,-1,2013-10-29 08:23:19,2013-10-30 06:28:18,13013916CF10A,,2013-10-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2013-10-29,2013-10-30,1,0,884,0,0,0 +3130,loki fields,loki,fields,2013-05-07,Male,1975-03-11,41,25 - 45,African-American,0,6,0,0,19,-71,2013-02-25 01:38:54,2013-04-28 01:58:15,13002850CF10A,2013-02-25,,71,F,Driving While License Revoked,1,15012102CF10A,(F1),,2015-09-18,Possession Of Cocaine 1000FT Sch,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-07,Risk of Violence,3,Low,2013-05-07,2013-02-25,2013-04-28,19,0,864,1,0,0 +3134,kelcie jumper,kelcie,jumper,2014-01-31,Male,1992-03-05,24,Less than 25,African-American,0,4,0,0,1,-1,2014-01-30 11:29:50,2014-01-31 08:13:34,14001699MM10A,2014-01-30,,1,M,Battery,1,14013041MM10A,(M1),0,2014-08-31,Battery,2014-08-31,2014-09-01,,1,14013041MM10A,(M1),2014-08-31,Battery,Risk of Recidivism,4,Low,2014-01-31,Risk of Violence,6,Medium,2014-01-31,2014-08-31,2014-09-01,1,0,212,1,1,1 +3135,cornelius brown,cornelius,brown,2013-02-04,Male,1990-09-09,25,25 - 45,African-American,0,8,0,1,7,507,2014-06-26 11:31:47,2014-07-09 06:02:45,12018443CF10A,2012-12-19,,47,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-04,Risk of Violence,9,High,2013-02-04,2014-06-26,2014-07-09,7,0,507,0,0,0 +3136,xochitl roberts,xochitl,roberts,2014-02-17,Female,1982-10-20,33,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-16 11:09:24,2014-02-17 01:44:55,14002693MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-17,Risk of Violence,1,Low,2014-02-17,2014-02-16,2014-02-17,0,0,774,0,0,0 +3137,steven wilson,steven,wilson,2013-02-24,Male,1967-06-29,48,Greater than 45,Caucasian,0,8,0,0,2,-1,2013-02-23 02:23:02,2013-02-27 08:21:29,13008289TC10A,,2013-02-23,1,M,arrest case no charge,1,15009605MM10A,(M1),0,2015-09-09,Battery,2015-09-09,2015-09-10,,1,15009605MM10A,(M1),2015-09-09,Battery,Risk of Recidivism,8,High,2013-02-24,Risk of Violence,5,Medium,2013-02-24,2013-08-26,2013-08-27,2,3,183,0,0,0 +3139,jose llerena,jose,llerena,2013-12-07,Male,1990-09-03,25,25 - 45,Hispanic,0,7,0,0,0,-1,2013-12-06 05:45:53,2013-12-07 01:44:27,13016910CF10A,2013-12-06,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-07,Risk of Violence,5,Medium,2013-12-07,2014-06-18,2014-06-18,0,0,193,0,0,0 +3146,dayner rodriguez,dayner,rodriguez,2014-08-03,Male,1979-01-19,37,25 - 45,Hispanic,0,3,0,0,0,-1,2014-08-02 08:54:03,2014-08-05 04:53:29,14010547CF10A,2014-08-02,,1,F,Tamper With Witness/Victim/CI,1,15015294CF10A,(F2),1,2015-11-27,Throw Deadly Missile Into Veh,2015-11-28,2015-12-01,,1,15012743MM10A,(M1),2015-11-27,Battery,Risk of Recidivism,3,Low,2014-08-03,Risk of Violence,2,Low,2014-08-03,2014-08-02,2014-08-05,0,2,481,1,1,1 +3152,kimberly willie,kimberly,willie,2013-12-11,Female,1972-12-25,43,25 - 45,Caucasian,0,8,0,0,7,-21,2013-11-20 09:22:12,2013-11-29 01:21:20,13016158CF10A,2013-11-20,,21,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-11,Risk of Violence,4,Low,2013-12-11,2013-11-20,2013-11-29,7,0,842,0,0,0 +3153,shane eisner,shane,eisner,2013-04-22,Male,1983-06-21,32,25 - 45,Caucasian,0,3,0,0,0,0,2013-04-22 02:12:26,2013-04-23 03:37:52,13005786CF10A,2013-04-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-22,Risk of Violence,2,Low,2013-04-22,2013-06-14,2013-06-19,0,1,53,0,0,0 +3154,dane whyte,dane,whyte,2013-09-14,Male,1982-08-19,33,25 - 45,Other,0,7,0,0,3,-1,2013-09-13 09:19:08,2013-09-14 07:26:07,13012946CF10A,,2013-09-13,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-14,Risk of Violence,2,Low,2013-09-14,2013-11-04,2013-11-05,3,0,51,0,0,0 +3156,michael leigh,michael,leigh,2013-10-04,Male,1966-10-15,49,Greater than 45,Caucasian,0,1,0,0,4,-11,2013-09-23 10:48:21,2013-09-29 02:37:04,13013400CF10A,2013-09-18,,16,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,2,Low,2013-10-04,2013-09-23,2013-09-29,4,0,910,0,0,0 +3157,max lerner,max,lerner,2013-01-15,Male,1991-04-21,24,Less than 25,Caucasian,0,4,0,0,0,-1,2013-01-14 12:16:45,2013-02-02 02:34:30,13000630CF10A,2013-01-14,,1,F,Robbery W/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-15,Risk of Violence,5,Medium,2013-01-15,2013-01-14,2013-02-02,0,18,1172,0,0,0 +3158,dontay lubin,dontay,lubin,2013-03-20,Male,1990-01-29,26,25 - 45,African-American,0,9,0,0,1,0,2013-03-20 12:31:18,2013-03-20 08:23:50,13003991CF10A,2013-03-19,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-20,Risk of Violence,8,High,2013-03-20,2013-10-30,2013-11-02,1,0,224,0,0,0 +3159,robert potenziani,robert,potenziani,2013-12-23,Male,1974-02-10,42,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-22 11:07:53,2013-12-24 06:33:34,13017633CF10A,2013-12-22,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-22,2013-12-24,0,1,830,0,0,0 +3161,jaime rivas,jaime,rivas,2013-01-29,Male,1979-12-21,36,25 - 45,Hispanic,0,1,0,0,0,0,2013-01-29 04:06:41,2013-01-29 08:19:17,13001426CF10A,2013-01-29,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-29,2013-01-29,0,0,1158,0,0,0 +3162,christopher neff,christopher,neff,2014-04-11,Male,1986-06-19,29,25 - 45,Caucasian,0,7,0,1,7,-1,2014-04-10 11:56:45,2014-05-08 05:09:20,14006220MM10A,2014-04-10,,1,M,Battery,1,14013070MM10A,(M2),0,2014-08-31,Trespass Structure/Conveyance,2014-08-31,2014-09-06,,1,14013070MM10A,(M1),2014-08-31,Assault On Law Enforc Officer,Risk of Recidivism,7,Medium,2014-04-11,Risk of Violence,6,Medium,2014-04-11,2014-08-31,2014-09-06,7,27,142,1,1,1 +3163,stephen peters,stephen,peters,2013-09-09,Male,1976-08-22,39,25 - 45,Caucasian,0,3,0,0,0,0,2013-09-09 02:46:49,2013-09-27 03:40:24,13017188MM10A,2013-09-09,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,3,Low,2013-09-09,2013-09-09,2013-09-27,0,18,935,0,0,0 +3169,adriana jurado,adriana,jurado,2013-12-02,Male,1963-04-05,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-01 05:45:15,2013-12-02 01:31:10,13022379MM10A,2013-12-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0,0 +3174,angeles etienne,angeles,etienne,2014-02-22,Male,1995-04-09,21,Less than 25,Other,0,5,0,0,0,-1,2014-02-21 04:58:53,2014-02-27 12:46:17,14002490CF10A,2014-02-21,,1,F,Burglary Structure Unoccup,1,14008615MM10A,(M2),0,2014-05-29,Trespass Struct/Conveyance,2014-05-29,2014-05-30,,1,15001591CF10A,(F1),2015-01-21,Robbery W/Firearm,Risk of Recidivism,5,Medium,2014-02-22,Risk of Violence,8,High,2014-02-22,2014-05-29,2014-05-30,0,5,96,1,1,1 +3176,sherwin samuel,sherwin,samuel,2013-10-19,Male,1974-09-22,41,25 - 45,African-American,0,5,0,0,4,-1,2013-10-18 09:30:02,2013-10-19 08:19:06,13014610CF10A,2013-10-18,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-19,Risk of Violence,2,Low,2013-10-19,2013-10-18,2013-10-19,4,0,895,0,0,0 +3177,bedson petithomme,bedson,petithomme,2013-05-09,Male,1981-09-21,34,25 - 45,African-American,0,2,0,0,4,378,2014-05-22 03:04:26,2015-11-03 06:27:10,13004134CF10A,2012-10-02,,219,F,Aggravated Battery / Pregnant,1,14010379TC10A,(M2),,2014-02-26,Fail Register Vehicle,,,,1,14007376CF10A,(F2),2014-05-21,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,2,Low,2013-05-09,Risk of Violence,1,Low,2013-05-09,2015-11-03,2016-04-02,4,0,293,1,1,1 +3178,alexander khan,alexander,khan,2014-11-09,Male,1993-06-10,22,Less than 25,Caucasian,0,8,0,2,5,-2,2014-11-07 08:17:57,2014-11-12 04:12:00,14015012CF10A,2014-11-07,,2,F,Possession Of Alprazolam,1,14015400CF10A,(F3),0,2014-11-15,Possession of Cocaine,2014-11-15,2014-12-20,,1,15004748CF10A,(F3),2015-04-10,Battery on Law Enforc Officer,Risk of Recidivism,8,High,2014-11-09,Risk of Violence,6,Medium,2014-11-09,2014-11-15,2014-12-20,5,3,6,1,1,1 +3181,sean vasquez,sean,vasquez,2013-02-01,Male,1993-09-27,22,Less than 25,Caucasian,0,7,0,2,0,-1,2013-01-31 10:40:18,2013-02-03 09:00:10,13001555CF10A,2013-01-31,,1,F,Grand Theft (Motor Vehicle),1,13015139MM10A,(M1),1,2013-08-11,Battery,2013-08-12,2013-11-07,,1,13015139MM10A,(M1),2013-08-11,Battery,Risk of Recidivism,7,Medium,2013-02-01,Risk of Violence,6,Medium,2013-02-01,2013-05-04,2013-05-10,0,2,92,0,1,1 +3182,christopher rich,christopher,rich,2013-01-03,Male,1990-09-03,25,25 - 45,African-American,0,5,0,0,2,-1,2013-01-02 11:31:06,2013-01-29 09:34:50,13000085CF10A,2013-01-02,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-03,Risk of Violence,3,Low,2013-01-03,2013-01-02,2013-01-29,2,26,1184,0,0,0 +3186,alexandra dovolis,alexandra,dovolis,2013-11-26,Female,1988-05-06,27,25 - 45,Caucasian,0,3,0,0,2,-34,2013-10-23 07:51:42,2013-10-24 08:39:18,13014864CF10A,2013-10-23,,34,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-26,Risk of Violence,3,Low,2013-11-26,2014-08-06,2014-08-13,2,0,253,0,0,0 +3188,errol freckleton,errol,freckleton,2013-02-20,Male,1964-08-03,51,Greater than 45,Other,0,1,0,0,2,-1,2013-02-19 03:55:09,2013-02-20 07:10:16,13002528CF10A,,2013-02-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-19,2013-02-20,2,0,1136,0,0,0 +3190,jonathan garber,jonathan,garber,2013-01-12,Male,1991-06-03,24,Less than 25,African-American,0,3,0,1,0,0,2013-01-12 12:29:56,2013-01-12 01:19:46,13000527CF10A,2013-01-11,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-12,Risk of Violence,5,Medium,2013-01-12,2013-01-12,2013-01-12,0,0,1175,0,0,0 +3191,marlon miller,marlon,miller,2013-08-27,Male,1978-10-13,37,25 - 45,African-American,0,4,0,0,4,0,2013-08-27 02:58:00,2013-11-28 02:15:32,12014646CF10A,,2013-08-27,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,2,Low,2013-08-27,2013-08-27,2013-11-28,4,93,948,0,0,0 +3192,brad clark,brad,clark,2013-04-29,Male,1979-03-14,37,25 - 45,Caucasian,0,1,0,0,0,-3,2013-04-26 04:52:50,2013-04-26 07:29:03,13008331MM10A,2013-04-26,,3,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-26,2013-04-26,0,0,1068,0,0,0 +3197,lamar queenbourrows,lamar,queenbourrows,2013-01-22,Female,1988-12-13,27,25 - 45,Other,0,2,0,0,0,-1,2013-01-21 11:20:20,2013-01-22 09:49:51,13001428MM10A,2013-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,2,Low,2013-01-22,2013-01-21,2013-01-22,0,0,1165,0,0,0 +3198,travis moss,travis,moss,2013-01-31,Male,1995-01-26,21,Less than 25,Other,0,6,0,0,0,-1,2013-01-30 07:10:03,2013-02-04 10:22:57,13001504CF10A,2013-01-30,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-31,Risk of Violence,6,Medium,2013-01-31,2013-05-08,2013-09-10,0,4,97,0,0,0 +3200,javon harris,javon,harris,2013-01-21,Male,1980-05-10,35,25 - 45,African-American,0,1,0,0,1,0,2013-01-21 03:33:22,2013-01-22 06:23:53,13000986CF10A,2013-01-21,,0,F,Aggravated Battery / Pregnant,1,13004540CF10A,(F2),0,2013-03-29,Aggravated Battery / Pregnant,2013-03-29,2013-03-31,,1,13004540CF10A,(F2),2013-03-29,Aggravated Battery / Pregnant,Risk of Recidivism,1,Low,2013-01-21,Risk of Violence,1,Low,2013-01-21,2013-03-29,2013-03-31,1,1,67,1,1,1 +3203,cassandra hendricks,cassandra,hendricks,2013-10-09,Female,1991-08-17,24,Less than 25,Caucasian,0,8,0,0,0,-1,2013-10-08 12:11:04,2013-11-14 06:47:36,13014106CF10A,2013-10-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-09,Risk of Violence,5,Medium,2013-10-09,2014-01-27,2014-04-21,0,36,110,0,0,0 +3204,jeffery turcotte,jeffery,turcotte,2013-03-08,Male,1995-02-27,21,Less than 25,Other,1,7,0,0,1,,,,12016746CF10A,,2012-11-15,113,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-08,Risk of Violence,8,High,2013-03-08,,,1,0,1120,0,0,0 +3205,john gough,john,gough,2013-01-22,Male,1967-04-18,49,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-01-21 01:43:09,2013-01-22 09:04:24,13001417MM10A,2013-01-21,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-22,Risk of Violence,1,Low,2013-01-22,2013-08-25,2013-09-09,2,0,215,0,0,0 +3206,derrico miller,derrico,miller,2013-09-03,Male,1977-06-22,38,25 - 45,African-American,0,6,0,0,9,-5,2013-08-29 04:44:36,2013-09-01 02:25:46,13008193CF10A,,2013-08-30,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-03,Risk of Violence,8,High,2013-09-03,2014-04-23,2014-05-01,9,0,232,0,0,0 +3207,motilall nokta,motilall,nokta,2013-07-10,Male,1955-03-08,61,Greater than 45,Other,0,1,0,0,0,-1,2013-07-09 08:23:34,2013-07-10 01:55:35,13013043MM10A,2013-07-09,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-10,Risk of Violence,1,Low,2013-07-10,2013-07-09,2013-07-10,0,0,996,0,0,0 +3208,tyara thomas,tyara,thomas,2014-01-12,Female,1986-04-03,30,25 - 45,African-American,0,2,0,0,0,0,2014-01-12 01:20:12,2014-01-12 07:13:40,14000555MM10A,2014-01-12,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-12,Risk of Violence,2,Low,2014-01-12,2014-01-12,2014-01-12,0,0,810,0,0,0 +3209,keon lamar,keon,lamar,2013-04-26,Male,1993-08-15,22,Less than 25,African-American,0,6,0,0,3,-1,2013-04-25 03:56:18,2013-08-31 05:22:10,13005931CF10A,2013-04-25,,1,F,Battery on a Person Over 65,1,15012390CF10A,(M1),0,2015-09-24,Battery,2015-09-24,2015-11-03,,1,15012390CF10A,(F3),2015-09-24,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2015-09-24,2015-11-03,3,127,881,1,0,0 +3215,paul degiovanni,paul,degiovanni,2013-11-16,Male,1963-08-23,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-15 11:16:23,2013-11-16 08:06:35,13021541MM10A,2013-11-15,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-16,Risk of Violence,1,Low,2013-11-16,2013-11-15,2013-11-16,0,0,867,0,0,0 +3217,joseph villa,joseph,villa,2014-03-24,Male,1989-06-26,26,25 - 45,Caucasian,0,2,0,0,0,-1,2014-03-23 06:32:39,2014-03-24 02:29:51,14004090CF10A,2014-03-23,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-24,Risk of Violence,3,Low,2014-03-24,2014-03-23,2014-03-24,0,0,739,0,0,0 +3218,robertson saintgermain,robertson,saintgermain,2014-03-15,Male,1989-12-15,26,25 - 45,Other,0,4,0,0,0,-1,2014-03-14 03:02:25,2014-03-15 07:47:36,14004479MM10A,2014-03-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-15,Risk of Violence,2,Low,2014-03-15,2014-03-14,2014-03-15,0,0,748,0,0,0 +3222,nicholas bynum,nicholas,bynum,2013-10-24,Male,1986-05-29,29,25 - 45,African-American,0,7,1,0,6,-55,2013-08-30 05:39:42,2013-08-30 08:16:58,13012288CF10A,2013-08-30,,55,F,Felon in Pos of Firearm or Amm,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-24,Risk of Violence,5,Medium,2013-10-24,2014-08-21,2014-08-29,6,0,301,0,0,0 +3226,joshua jones,joshua,jones,2013-02-11,Male,1987-04-17,29,25 - 45,African-American,0,8,0,0,4,-1,2013-02-10 06:11:44,2013-05-01 08:08:58,12017246CF10A,,2013-02-09,2,F,arrest case no charge,1,15013975CF10A,(F3),49,2015-09-17,Felony Battery w/Prior Convict,2015-11-05,2015-12-03,,1,15013975CF10A,(F3),2015-09-17,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2013-02-11,Risk of Violence,9,High,2013-02-11,2014-11-30,2015-03-05,4,79,657,0,0,0 +3229,albert baldocchi,albert,baldocchi,2013-02-09,Male,1990-01-11,26,25 - 45,Caucasian,0,5,0,0,2,-1,2013-02-08 10:04:37,2013-02-09 01:03:16,13002012CF10A,2013-02-08,,1,F,D.U.I. Serious Bodily Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2013-02-08,2013-02-09,2,0,1147,0,0,0 +3230,stephanie smith,stephanie,smith,2014-01-07,Female,1969-11-30,46,Greater than 45,African-American,0,4,0,0,4,-1,2014-01-06 07:12:43,2014-01-07 01:36:40,14000304CF10A,,2014-01-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-07,Risk of Violence,3,Low,2014-01-07,2014-01-06,2014-01-07,4,0,815,0,0,0 +3232,marlo warthen,marlo,warthen,2014-03-22,Female,1969-09-02,46,Greater than 45,African-American,0,1,0,0,0,-1,2014-03-21 09:47:15,2014-03-22 10:57:18,14004048CF10A,2014-03-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-22,0,0,741,0,0,0 +3234,jon smith,jon,smith,2013-03-21,Male,1976-11-25,39,25 - 45,Caucasian,0,1,0,0,8,-56,2013-01-24 05:38:16,2013-01-25 12:01:11,13001181CF10A,2013-01-24,,56,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,3,Low,2013-03-21,2013-01-24,2013-01-25,8,0,1107,0,0,0 +3236,earl brewer,earl,brewer,2014-02-22,Male,1986-10-07,29,25 - 45,African-American,0,10,0,0,12,-1,2014-02-21 09:47:22,2014-02-27 09:02:04,14002487CF10A,2014-02-21,,1,F,Possession of Cocaine,1,14010954MM10A,(M2),,2014-07-17,Disorderly Conduct,,,,1,15008215CF10A,(F2),2015-06-25,Strong Armed Robbery,Risk of Recidivism,10,High,2014-02-22,Risk of Violence,7,Medium,2014-02-22,2014-04-01,2014-04-02,12,5,38,0,1,1 +3237,ignacio beguiristain,ignacio,beguiristain,2013-12-03,Male,1975-03-31,41,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-03 12:26:01,2013-12-03 08:36:18,13022422MM10A,2013-12-02,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2013-12-03,2013-12-03,0,0,850,0,0,0 +3240,chasidy walker,chasidy,walker,2013-12-08,Female,1990-05-16,25,25 - 45,African-American,0,7,0,0,5,-1,2013-12-07 11:35:44,2013-12-08 07:59:31,13016958CF10A,2013-12-07,,1,F,Poss Anti-Shoplifting Device,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-08,Risk of Violence,3,Low,2013-12-08,2014-01-12,2014-01-12,5,0,35,0,0,0 +3242,maurice bradwell,maurice,bradwell,2013-01-16,Male,1992-07-08,23,Less than 25,African-American,1,7,0,0,2,-1,2013-01-15 04:57:11,2013-02-02 11:24:05,13000722CF10A,2013-01-15,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-16,Risk of Violence,5,Medium,2013-01-16,2015-02-08,2015-05-19,2,17,753,0,0,0 +3246,christopher connelly,christopher,connelly,2013-11-20,Male,1985-06-22,30,25 - 45,Caucasian,0,3,0,0,0,-1,2013-11-19 07:21:09,2013-11-19 08:05:35,13021771MM10A,2013-11-19,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-20,Risk of Violence,2,Low,2013-11-20,2013-11-19,2013-11-19,0,0,863,0,0,0 +3247,joseph farina,joseph,farina,2013-04-26,Male,1981-06-14,34,25 - 45,Caucasian,0,6,0,0,1,-1,2013-04-25 10:30:51,2013-04-28 06:19:11,13003794CF10A,,2013-04-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-26,Risk of Violence,4,Low,2013-04-26,2013-04-25,2013-04-28,1,2,1071,0,0,0 +3250,peter castanon,peter,castanon,2013-12-10,Male,1964-04-02,52,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-12-09 06:05:20,2013-12-11 03:04:00,11014702CF10A,,2013-12-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-09,2013-12-11,2,1,843,0,0,0 +3255,keith johnson,keith,johnson,2013-10-01,Male,1964-10-10,51,Greater than 45,African-American,0,2,0,0,4,-26,2013-09-05 09:34:45,2013-09-13 05:55:53,13034797TC10A,2013-09-05,,26,M,Susp Drivers Lic 1st Offense,1,15072869TC40A,(M2),1,2015-11-19,Unlaw LicTag/Sticker Attach,2015-11-20,2015-11-25,,0,,,,,Risk of Recidivism,2,Low,2013-10-01,Risk of Violence,2,Low,2013-10-01,2015-11-20,2015-11-25,4,0,779,1,0,0 +3261,lori foerster,lori,foerster,2013-09-10,Female,1967-03-24,49,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-09-09 05:23:57,2013-09-10 09:54:48,13012733CF10A,,2013-09-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-10,1,0,934,0,0,0 +3262,chayla burley,chayla,burley,2013-10-17,Female,1989-11-30,26,25 - 45,African-American,0,6,0,0,9,404,2014-11-25 06:52:56,2014-11-27 04:40:19,13041841TC10A,2013-10-04,,13,M,Driving License Suspended,1,14016781MM10A,(M1),0,2014-11-25,Battery,2014-11-25,2014-11-27,,1,14016781MM10A,(M1),2014-11-25,Battery,Risk of Recidivism,6,Medium,2013-10-17,Risk of Violence,4,Low,2013-10-17,2014-11-25,2014-11-27,9,0,404,1,1,1 +3265,cynthia montalvo,cynthia,montalvo,2013-04-28,Female,1968-04-28,47,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-28 04:12:23,2013-04-28 07:53:11,13006111CF10A,2013-04-28,,0,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-28,Risk of Violence,1,Low,2013-04-28,2013-04-28,2013-04-28,0,0,1069,0,0,0 +3267,byran george,byran,george,2013-08-03,Male,1989-01-23,27,25 - 45,African-American,0,2,0,0,0,0,2013-08-03 07:19:15,2013-08-04 07:57:02,13014653MM10A,2013-08-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-03,Risk of Violence,3,Low,2013-08-03,2013-08-03,2013-08-04,0,1,972,0,0,0 +3274,craig lawrence,craig,lawrence,2013-06-20,Male,1994-09-25,21,Less than 25,African-American,0,6,0,0,0,-2,2013-06-18 04:27:00,2013-06-19 08:00:00,13008608CF10A,2013-06-18,,2,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-20,Risk of Violence,6,Medium,2013-06-20,2013-06-18,2013-06-19,0,0,1016,0,0,0 +3281,jason may,jason,may,2013-04-20,Male,1985-09-08,30,25 - 45,Caucasian,0,4,0,0,3,-1,2013-04-19 02:21:45,2013-05-01 10:53:53,13005613CF10A,2013-04-19,,1,F,Crimin Mischief Damage $1000+,1,13038248TC10A,(M2),0,2013-09-15,Susp Drivers Lic 1st Offense,2013-09-15,2013-09-16,,1,14000777CF10A,(F3),2014-01-18,Felony Battery (Dom Strang),Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-09-15,2013-09-16,3,11,148,1,1,1 +3283,ernesto arduz,ernesto,arduz,2014-02-09,Male,1945-05-11,70,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-08 11:37:08,2014-02-09 01:58:03,14005073MU10A,2014-02-08,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-09,Risk of Violence,1,Low,2014-02-09,2014-02-08,2014-02-09,0,0,782,0,0,0 +3289,levar dawson,levar,dawson,2013-02-19,Male,1977-05-13,38,25 - 45,African-American,0,6,0,0,15,0,2013-02-19 01:33:33,2013-04-15 11:26:03,13002465CF10A,2013-02-18,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-19,Risk of Violence,5,Medium,2013-02-19,2014-10-06,2014-10-07,15,55,594,0,0,0 +3290,kervin bonhometre,kervin,bonhometre,2013-03-13,Male,1986-07-16,29,25 - 45,African-American,0,4,0,0,0,0,2013-03-13 02:31:11,2013-03-13 08:19:46,13003682CF10A,2013-03-12,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-13,Risk of Violence,2,Low,2013-03-13,2013-03-13,2013-03-13,0,0,1115,0,0,0 +3292,saul carrion,saul,carrion,2013-10-10,Male,1977-11-19,38,25 - 45,Hispanic,0,4,0,0,3,-21,2013-09-19 02:22:11,2013-09-19 08:08:14,13013183CF10A,2013-09-19,,21,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-09-19,2013-09-19,3,0,904,0,0,0 +3293,jehan gersbach,jehan,gersbach,2013-07-15,Female,1988-08-16,27,25 - 45,Caucasian,0,3,0,0,0,-4,2013-07-11 11:54:13,2013-07-12 01:44:05,13009762CF10A,2013-07-11,,4,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-15,Risk of Violence,2,Low,2013-07-15,2013-07-11,2013-07-12,0,0,991,0,0,0 +3295,eduard blanco,eduard,blanco,2013-01-11,Male,1971-08-13,44,25 - 45,Hispanic,0,1,0,0,0,0,2013-01-11 02:52:46,2013-01-11 07:46:30,13000684MM10A,2013-01-11,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-11,2013-01-11,0,0,1176,0,0,0 +3298,olayo montiel,olayo,montiel,2013-01-26,Male,1985-03-06,31,25 - 45,Caucasian,0,5,0,0,6,-1,2013-01-25 03:14:43,2013-01-26 08:15:46,13001845MM10A,2013-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-26,Risk of Violence,5,Medium,2013-01-26,2013-01-25,2013-01-26,6,0,1161,0,0,0 +3301,rut ruiz,rut,ruiz,2013-10-02,Female,1985-11-09,30,25 - 45,African-American,0,2,0,0,0,-1,2013-10-01 09:36:03,2013-10-02 08:15:00,13018711MM10A,2013-10-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,2,Low,2013-10-02,2013-10-01,2013-10-02,0,0,912,0,0,0 +3304,courtney tracey,courtney,tracey,2013-02-16,Male,1975-07-07,40,25 - 45,African-American,0,2,0,0,3,-1,2013-02-15 05:22:50,2013-02-16 07:12:34,13002368CF10A,2013-02-15,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-16,Risk of Violence,1,Low,2013-02-16,2013-02-15,2013-02-16,3,0,1140,0,0,0 +3305,lauren obrien,lauren,obrien,2013-05-07,Female,1966-10-15,49,Greater than 45,Caucasian,0,2,0,0,3,1025,2016-02-26 06:26:45,2016-02-27 09:07:48,12014029CF10A,2012-09-23,,226,F,Resist Officer w/Violence,1,16004917MU10A,(M1),0,2016-02-26,,2016-02-26,2016-02-27,,0,,,,,Risk of Recidivism,2,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2016-02-26,2016-02-27,3,0,1025,1,0,0 +3306,mauricio molina,mauricio,molina,2013-03-10,Male,1983-01-03,33,25 - 45,Caucasian,0,3,0,0,1,0,2013-03-10 01:25:31,2013-03-11 08:03:14,13012709TC10A,2013-03-09,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-10,Risk of Violence,2,Low,2013-03-10,2013-03-10,2013-03-11,1,1,1118,0,0,0 +3310,miguel torres,miguel,torres,2013-04-17,Male,1984-05-18,31,25 - 45,Hispanic,0,3,1,0,1,0,2013-04-17 01:33:57,2013-04-18 10:26:00,13007440MM10A,2013-04-17,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,5,Medium,2013-04-17,2013-08-04,2013-09-10,1,1,109,0,0,0 +3312,michael levy,michael,levy,2013-01-13,Male,1954-12-22,61,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-12 04:10:37,2013-01-13 01:00:33,13000727MM10A,2013-01-12,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,1,0,1174,0,0,0 +3314,michael mariani,michael,mariani,2013-09-05,Male,1985-04-29,30,25 - 45,Caucasian,0,4,0,0,2,-1,2013-09-04 08:06:26,2013-09-05 07:57:54,13012489CF10A,2013-09-04,,1,F,Use Of 2 Way Device To Fac Fel,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-09-04,2013-09-05,2,0,939,0,0,0 +3315,david margadonna,david,margadonna,2013-10-05,Male,1954-01-18,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-04 03:37:56,2013-10-06 04:38:04,13018914MM10A,2013-10-04,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-05,Risk of Violence,1,Low,2013-10-05,2013-10-04,2013-10-06,0,1,909,0,0,0 +3318,paul haddad,paul,haddad,2013-03-07,Male,1968-03-01,48,Greater than 45,Caucasian,0,6,0,0,9,-1,2013-03-06 04:52:48,2013-03-07 06:01:55,13003370CF10A,2013-03-06,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-07,Risk of Violence,1,Low,2013-03-07,2014-09-07,2014-09-17,9,0,549,0,0,0 +3319,kimberly wisniewski,kimberly,wisniewski,2013-12-25,Female,1975-05-27,40,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-24 01:22:24,2013-12-25 12:46:12,13017732CF10A,2013-12-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-25,Risk of Violence,1,Low,2013-12-25,2013-12-24,2013-12-25,0,0,828,0,0,0 +3320,christopher hendricks,christopher,hendricks,2013-12-17,Male,1991-07-29,24,Less than 25,Caucasian,0,4,0,0,0,-1,2013-12-16 04:56:49,2013-12-19 04:53:49,13017365CF10A,2013-12-16,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-17,Risk of Violence,5,Medium,2013-12-17,2013-12-16,2013-12-19,0,2,836,0,0,0 +3324,christopher obrien,christopher,obrien,2013-02-12,Male,1952-12-08,63,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-12 01:53:55,2013-02-12 08:00:45,13003098MM10A,2013-02-11,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-12,Risk of Violence,1,Low,2013-02-12,2013-02-12,2013-02-12,0,0,1144,0,0,0 +3325,julio rodriguezcruz,julio,rodriguezcruz,2013-05-13,Male,1969-07-07,46,Greater than 45,Hispanic,0,1,0,0,0,,,,12007422MO10A,,2012-04-09,399,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2014-07-17,2015-03-01,0,0,430,0,0,0 +3326,jamal murray,jamal,murray,2013-01-03,Male,1982-06-04,33,25 - 45,African-American,0,10,0,0,4,-1,2013-01-02 06:52:47,2013-01-03 09:21:03,13000071CF10A,2013-01-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-03,Risk of Violence,9,High,2013-01-03,2015-05-21,2020-01-01,4,0,868,0,0,0 +3328,merlene reid,merlene,reid,2013-01-23,Female,1994-12-15,21,Less than 25,African-American,1,6,0,0,1,81,2013-04-14 03:23:56,2013-04-15 03:16:10,13000263CF10A,2012-11-05,,79,F,Robbery Sudd Snatch No Weapon,1,13007188MM10A,(M2),0,2013-04-14,Petit Theft,2013-04-14,2013-04-15,,1,14005084CF10A,(F2),2014-04-11,Agg Fleeing/Eluding High Speed,Risk of Recidivism,6,Medium,2013-01-23,Risk of Violence,6,Medium,2013-01-23,2013-04-14,2013-04-15,1,0,81,1,1,1 +3332,jean maxime,jean,maxime,2013-09-05,Male,1964-11-07,51,Greater than 45,African-American,0,1,0,0,1,-17,2013-08-19 01:28:26,2013-08-26 07:15:46,13011616CF10A,2013-08-19,,17,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-05,Risk of Violence,1,Low,2013-09-05,2016-02-11,2016-02-23,1,0,889,0,0,0 +3333,keith plews,keith,plews,2013-02-07,Male,1976-12-11,39,25 - 45,Caucasian,0,1,0,0,3,-1,2013-02-06 07:58:18,2013-02-07 10:26:20,12017764CF10A,,2013-02-06,1,F,arrest case no charge,1,14017501MM10A,(M1),0,2014-12-12,Resist/Obstruct W/O Violence,2014-12-12,2015-01-06,,1,14017501MM10A,(M1),2014-12-12,Assault On Law Enforc Officer,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2014-12-12,2015-01-06,3,0,673,1,1,1 +3338,robert cannon,robert,cannon,2013-12-16,Male,1994-01-07,22,Less than 25,African-American,0,6,0,0,0,-2,2013-12-14 09:58:29,2013-12-15 01:35:55,13023191MM10A,2013-12-14,,2,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-16,Risk of Violence,5,Medium,2013-12-16,2014-02-19,2014-02-27,0,0,65,0,0,0 +3339,gregory luff,gregory,luff,2013-02-22,Male,1956-11-07,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-21 11:47:36,2013-02-22 01:28:06,13002672CF10A,2013-02-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-02-21,2013-02-22,0,0,1134,0,0,0 +3340,deon warren,deon,warren,2014-04-01,Male,1977-08-06,38,25 - 45,African-American,0,7,5,0,37,-1,2014-03-31 08:38:47,2014-05-01 05:20:12,14025752TC30A,,2014-03-31,1,M,arrest case no charge,1,14012415CF10A,(F3),,2014-08-17,Stalking (Aggravated),,,,1,14012415CF10A,(F3),2014-08-17,Stalking (Aggravated),Risk of Recidivism,7,Medium,2014-04-01,Risk of Violence,2,Low,2014-04-01,2014-03-31,2014-05-01,37,30,138,1,1,1 +3341,jack desrouleaux,jack,desrouleaux,2013-05-15,Male,1993-01-22,23,Less than 25,African-American,0,6,0,0,2,0,2013-05-15 12:48:05,2014-01-08 08:48:48,12011362CF10A,,2013-05-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-15,Risk of Violence,5,Medium,2013-05-15,2013-05-15,2014-01-08,2,238,1052,0,0,0 +3343,leroy farmer,leroy,farmer,2013-06-21,Male,1995-04-21,20,Less than 25,African-American,1,3,0,0,1,-37,2013-05-15 12:55:12,2013-05-31 11:04:55,13006815CF10A,,2013-05-15,37,F,arrest case no charge,1,13011601CF10A,(F2),0,2013-08-19,Robbery / No Weapon,2013-08-19,2014-01-09,,1,13011601CF10A,(F2),2013-08-19,Robbery / No Weapon,Risk of Recidivism,3,Low,2013-06-21,Risk of Violence,7,Medium,2013-06-21,2013-08-19,2014-01-09,1,0,59,1,1,1 +3344,demetrius johnson,demetrius,johnson,2013-04-01,Male,1977-08-06,38,25 - 45,African-American,0,7,0,0,2,0,2013-04-01 10:35:17,2013-10-11 05:44:04,13004667CF10A,2013-04-01,,0,F,Burglary Dwelling Assault/Batt,1,14000793CF10A,(F3),1,2014-01-18,Stalking (Aggravated),2014-01-19,2014-01-31,,1,14000793CF10A,(F3),2014-01-18,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-04-01,Risk of Violence,3,Low,2013-04-01,2013-04-01,2013-10-11,2,193,292,1,1,1 +3345,denny ricatti,denny,ricatti,2013-01-26,Female,1982-02-13,34,25 - 45,Caucasian,0,3,0,0,2,-1,2013-01-25 06:05:27,2013-01-26 09:13:23,13001250CF10A,2013-01-25,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-26,Risk of Violence,2,Low,2013-01-26,2013-01-25,2013-01-26,2,0,1161,0,0,0 +3350,yvon agenord,yvon,agenord,2013-11-05,Male,1984-11-05,31,25 - 45,African-American,0,1,0,0,1,-14,2013-10-22 11:46:11,2013-11-05 11:20:18,13014734CF10A,2013-10-21,,15,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-05,Risk of Violence,2,Low,2013-11-05,2013-10-22,2013-11-05,1,0,878,0,0,0 +3356,peter mercogliano,peter,mercogliano,2014-01-17,Male,1955-11-07,60,Greater than 45,Caucasian,0,1,0,0,3,-120,2013-09-19 04:36:11,2014-01-17 12:32:44,13013207CF10A,2013-09-19,,120,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-17,Risk of Violence,2,Low,2014-01-17,2013-09-19,2014-01-17,3,0,805,0,0,0 +3357,willie titus,willie,titus,2014-03-29,Male,1972-11-24,43,25 - 45,African-American,0,4,0,0,0,-1,2014-03-28 09:13:42,2014-03-29 10:09:02,14004379CF10A,2014-03-28,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-29,Risk of Violence,1,Low,2014-03-29,2014-03-28,2014-03-29,0,0,734,0,0,0 +3358,donald brundidge,donald,brundidge,2014-03-11,Male,1976-02-15,40,25 - 45,African-American,0,1,0,0,1,-1,2014-03-10 09:24:25,2014-03-12 09:09:50,14003372CF10A,,2014-03-10,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2014-03-10,2014-03-12,1,1,752,0,0,0 +3361,eyzzaquirre walquer,eyzzaquirre,walquer,2013-10-07,Male,1989-12-13,26,25 - 45,African-American,0,6,0,0,1,,,,10012932CF10A,,2012-01-22,624,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-07,Risk of Violence,7,Medium,2013-10-07,,,1,0,907,0,0,0 +3371,zachery derenoncourt,zachery,derenoncourt,2013-08-22,Male,1994-01-11,22,Less than 25,African-American,0,3,0,1,0,-1,2013-08-21 06:04:09,2013-08-22 04:45:08,13011772CF10A,2013-08-21,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-22,Risk of Violence,5,Medium,2013-08-22,2013-08-21,2013-08-22,0,0,953,0,0,0 +3376,marie altenor,marie,altenor,2013-12-15,Female,1975-09-12,40,25 - 45,Other,0,1,0,0,0,-1,2013-12-14 05:59:05,2013-12-15 09:12:57,13017298CF10A,2013-12-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-14,2013-12-15,0,0,838,0,0,0 +3377,kelly abernath,kelly,abernath,2013-09-28,Female,1978-11-15,37,25 - 45,Caucasian,0,1,0,0,0,,,,13013637CF10A,2013-09-28,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-28,Risk of Violence,1,Low,2013-09-28,,,0,0,916,0,0,0 +3379,jacques duvignaud,jacques,duvignaud,2013-02-17,Male,1994-08-05,21,Less than 25,Other,0,4,0,0,1,982,2015-10-27 11:54:28,2015-11-02 09:32:34,13002420CF10A,2013-02-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2015-10-27,2015-11-02,1,0,982,0,0,0 +3380,valarie salters,valarie,salters,2013-09-30,Female,1970-11-27,45,Greater than 45,African-American,0,4,0,0,1,-1,2013-09-29 01:24:57,2013-10-05 09:22:55,13013670CF10A,2013-09-29,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,2,Low,2013-09-30,2013-09-29,2013-10-05,1,5,914,0,0,0 +3384,dominic disalvo,dominic,disalvo,2013-09-05,Male,1994-07-25,21,Less than 25,Caucasian,0,8,1,2,1,-1,2013-09-04 08:11:26,2013-09-17 04:53:45,13012512CF10A,2013-09-04,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-05,Risk of Violence,9,High,2013-09-05,2015-05-29,2015-06-03,1,12,631,0,0,0 +3385,jeffery johnson,jeffery,johnson,2013-03-10,Male,1965-10-01,50,Greater than 45,African-American,1,9,0,0,7,,,,10000637MM10A,2010-01-11,,1154,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-10,Risk of Violence,4,Low,2013-03-10,,,7,0,1118,0,0,0 +3386,robert kingery,robert,kingery,2013-11-08,Male,1980-05-11,35,25 - 45,Caucasian,0,5,0,0,6,-10,2013-10-29 08:37:39,2013-10-31 02:30:32,13015104CF10A,2013-10-29,,10,F,Battery on a Person Over 65,1,14002224CF10A,(M2),1,2014-02-17,Susp Drivers Lic 1st Offense,2014-02-18,2014-03-24,,1,15011833MM10A,(M2),2015-11-11,Assault,Risk of Recidivism,5,Medium,2013-11-08,Risk of Violence,4,Low,2013-11-08,2015-11-12,2015-11-25,6,0,101,1,1,1 +3387,ramon harris,ramon,harris,2013-06-03,Male,1963-07-18,52,Greater than 45,African-American,0,1,0,0,1,1,2013-06-04 11:14:23,2013-08-14 08:45:53,13010504MM10A,2013-06-01,,2,M,Viol Injunct Domestic Violence,1,13007934CF10A,(M1),0,2013-06-04,Viol Injunction Protect Dom Vi,2013-06-04,2013-08-14,,1,13007934CF10A,(F2),2013-06-04,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,1,Low,2013-06-03,Risk of Violence,1,Low,2013-06-03,2013-06-04,2013-08-14,1,0,1,1,1,1 +3390,kevin oconnell,kevin,oconnell,2013-08-06,Male,1967-07-25,48,Greater than 45,Caucasian,0,1,0,0,0,0,2013-08-06 03:46:18,2013-08-06 07:43:53,13014856MM10A,2013-08-06,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-06,Risk of Violence,1,Low,2013-08-06,2014-11-20,2014-11-25,0,0,471,0,0,0 +3392,raymond burr,raymond,burr,2013-03-09,Male,1968-02-05,48,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-08 05:10:48,2013-03-09 08:03:03,13004719MM10A,2013-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,0,0,1119,0,0,0 +3396,clarence oliver,clarence,oliver,2014-02-16,Male,1968-05-20,47,Greater than 45,African-American,0,5,0,0,0,-1,2014-02-15 05:33:03,2014-02-18 09:23:00,14002659MM10A,2014-02-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-16,Risk of Violence,3,Low,2014-02-16,2014-02-15,2014-02-18,0,2,775,0,0,0 +3397,freddie austin,freddie,austin,2013-10-19,Male,1954-01-25,62,Greater than 45,African-American,0,7,0,0,1,,,,12003226MM10A,2012-02-14,,613,M,Possess Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-19,Risk of Violence,6,Medium,2013-10-19,2005-01-04,2008-01-26,1,0,895,0,0,0 +3399,michael habersham,michael,habersham,2013-02-21,Male,1980-06-27,35,25 - 45,African-American,3,10,0,0,13,-1,2013-02-20 04:28:30,2013-02-21 02:00:22,13002617CF10A,2013-02-20,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-21,Risk of Violence,5,Medium,2013-02-21,2014-03-20,2014-09-02,13,0,392,0,0,0 +3404,eugene vaughn,eugene,vaughn,2013-07-01,Male,1963-06-10,52,Greater than 45,African-American,0,1,0,0,2,-5,2013-06-26 02:12:03,2013-06-29 04:23:12,11000301CF10A,,2013-06-26,5,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-01,Risk of Violence,1,Low,2013-07-01,2013-06-26,2013-06-29,2,0,1005,0,0,0 +3405,charletha nesmith,charletha,nesmith,2013-03-20,Female,1977-02-10,39,25 - 45,African-American,0,2,1,0,7,114,2013-07-12 12:45:34,2014-01-07 03:49:13,12018408CF10A,2012-12-18,,92,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-07-12,2014-01-07,7,0,114,0,0,0 +3406,aladdin ruiz,aladdin,ruiz,2014-01-10,Male,1995-02-13,21,Less than 25,Caucasian,0,8,0,0,0,-1,2014-01-09 11:12:45,2014-01-18 12:46:35,14000392MM10A,2014-01-09,,1,M,Battery,1,14003688CF10A,(F3),0,2014-03-16,Felony Battery (Dom Strang),2014-03-16,2014-04-30,,1,14006595MM10A,(M1),2014-03-16,Battery,Risk of Recidivism,8,High,2014-01-10,Risk of Violence,9,High,2014-01-10,2014-03-16,2014-04-30,0,8,65,1,1,1 +3407,greg godette,greg,godette,2014-02-10,Male,1962-10-24,53,Greater than 45,Caucasian,0,1,0,0,1,-2,2014-02-08 04:19:13,2014-02-09 07:31:52,14001786CF10A,2014-02-07,,3,M,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-08,2014-02-09,1,0,781,0,0,0 +3409,stephen vaughn,stephen,vaughn,2014-01-10,Male,1993-07-05,22,Less than 25,African-American,0,6,0,0,0,-1,2014-01-09 05:27:43,2014-01-12 03:57:27,14000396MM10A,2014-01-09,,1,M,Open Carrying Of Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-10,Risk of Violence,8,High,2014-01-10,2014-01-09,2014-01-12,0,2,812,0,0,0 +3410,keithon hunter,keithon,hunter,2013-02-24,Male,1970-12-15,45,Greater than 45,African-American,0,3,0,0,1,-1,2013-02-23 11:52:38,2013-02-26 08:07:15,13001358CF10A,,2013-02-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2015-01-22,2015-02-26,1,2,697,0,0,0 +3411,haley belba,haley,belba,2014-01-09,Female,1988-12-10,27,25 - 45,Caucasian,0,2,0,0,0,-1,2014-01-08 04:06:52,2014-01-09 06:22:32,14000319CF10A,2014-01-08,,1,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-09,Risk of Violence,2,Low,2014-01-09,2014-01-08,2014-01-09,0,0,813,0,0,0 +3412,alexander schwartz,alexander,schwartz,2013-02-04,Male,1990-10-06,25,25 - 45,Caucasian,0,2,0,0,0,-1,2013-02-03 11:41:54,2013-02-04 07:33:19,13002440MM10A,2013-02-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,3,Low,2013-02-04,2013-04-14,2013-04-15,0,0,69,0,0,0 +3417,joseph scognamiglio,joseph,scognamiglio,2014-02-13,Male,1987-11-11,28,25 - 45,Caucasian,0,3,0,0,3,-1,2014-02-12 07:14:00,2014-02-13 09:25:50,14001485CF10A,,2014-02-12,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-13,Risk of Violence,2,Low,2014-02-13,2014-02-12,2014-02-13,3,0,778,0,0,0 +3418,michael reed,michael,reed,2013-10-30,Male,1980-04-08,36,25 - 45,African-American,0,2,0,0,3,-1,2013-10-29 03:05:24,2013-10-31 12:47:14,13020458MM10A,2013-10-29,,1,M,Battery,1,14007209TC10A,(M2),,2013-12-03,Driving License Suspended,,,,1,14001861MM10A,(M1),2014-01-12,Battery,Risk of Recidivism,2,Low,2013-10-30,Risk of Violence,2,Low,2013-10-30,2013-10-29,2013-10-31,3,1,34,1,1,1 +3420,merrill joseph,merrill,joseph,2013-05-06,Male,1974-04-11,42,25 - 45,African-American,0,2,0,0,1,0,2013-05-06 02:34:41,2013-05-06 07:48:39,13006496CF10A,2013-05-06,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-06,2013-05-06,1,0,1061,0,0,0 +3423,jamie anderson,jamie,anderson,2013-04-15,Female,1983-04-12,33,25 - 45,Caucasian,0,2,0,0,2,-29,2013-03-17 11:15:34,2013-03-18 01:35:54,13003885CF10A,2013-03-17,,29,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-03-17,2013-03-18,2,0,1082,0,0,0 +3427,christina parker,christina,parker,2014-03-16,Female,1973-09-10,42,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-15 05:38:42,2014-03-16 07:22:05,14004499MM10A,2014-03-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0,0 +3431,candace oneal,candace,oneal,2013-01-14,Female,1987-07-23,28,25 - 45,African-American,0,2,0,0,0,0,2013-01-14 01:05:43,2013-01-14 06:50:40,13000796MM10A,2013-01-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,2,Low,2013-01-14,2013-01-14,2013-01-14,0,0,1173,0,0,0 +3434,stanley rich,stanley,rich,2014-07-16,Male,1988-11-16,27,25 - 45,African-American,0,10,0,0,25,18,2014-08-03 09:08:30,2014-09-13 04:26:01,14004591CF10A,,2014-05-27,50,F,arrest case no charge,1,14010582CF10A,(F2),0,2014-08-03,Aggravated Battery / Pregnant,2014-08-03,2014-09-13,,1,14010582CF10A,(F2),2014-08-03,Aggravated Battery / Pregnant,Risk of Recidivism,10,High,2014-07-16,Risk of Violence,9,High,2014-07-16,2014-08-03,2014-09-13,25,0,18,1,1,1 +3437,lizibell aviles,lizibell,aviles,2013-08-27,Female,1994-09-01,21,Less than 25,Caucasian,0,6,0,0,0,-1,2013-08-26 08:11:05,2013-08-29 05:55:18,13012029CF10A,2013-08-26,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-27,Risk of Violence,7,Medium,2013-08-27,2013-08-26,2013-08-29,0,2,948,0,0,0 +3439,jose santos,jose,santos,2013-02-24,Male,1980-04-06,36,25 - 45,Caucasian,0,1,0,0,0,-1,2013-02-23 08:43:27,2013-02-24 06:58:35,13002795CF10A,2013-02-23,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2013-02-23,2013-02-24,0,0,1132,0,0,0 +3445,mark asbell,mark,asbell,2013-10-04,Male,1987-11-13,28,25 - 45,Caucasian,0,3,0,0,1,-25,2013-09-09 02:13:27,2013-10-03 07:53:47,13017198MM10A,2013-09-08,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-04,Risk of Violence,4,Low,2013-10-04,2013-09-09,2013-10-03,1,0,910,0,0,0 +3451,jon clouse,jon,clouse,2013-01-31,Male,1970-01-22,46,Greater than 45,Caucasian,0,2,0,0,2,266,2013-10-24 12:44:58,2013-12-09 10:08:01,10016285TC10A,2010-04-20,,1017,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-31,Risk of Violence,1,Low,2013-01-31,2013-10-24,2013-12-09,2,0,266,0,0,0 +3452,demetrice boone,demetrice,boone,2013-08-02,Male,1982-03-01,34,25 - 45,African-American,0,1,0,0,3,-1,2013-08-01 08:24:27,2013-08-02 01:23:50,13010777CF10A,2013-08-01,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,2,Low,2013-08-02,2013-08-01,2013-08-02,3,0,973,0,0,0 +3455,passha davis,passha,davis,2013-02-25,Female,1991-02-22,25,25 - 45,African-American,0,3,0,0,1,-1,2013-02-24 06:37:00,2013-02-28 08:18:55,13002836CF10A,2013-02-24,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-25,Risk of Violence,3,Low,2013-02-25,2013-02-24,2013-02-28,1,3,1131,0,0,0 +3456,daniel dayes,daniel,dayes,2013-01-01,Male,1994-08-25,21,Less than 25,African-American,0,8,1,0,1,0,2013-01-01 10:37:34,2013-01-02 01:16:38,13000061MM10A,2013-01-01,,0,M,Assault,1,15000836CF10A,(F3),1,2015-01-19,Robbery Sudd Snatch No Weapon,2015-01-20,2015-01-23,,1,15000836CF10A,(F3),2015-01-19,Robbery Sudd Snatch No Weapon,Risk of Recidivism,8,High,2013-01-01,Risk of Violence,8,High,2013-01-01,2013-01-01,2013-01-02,1,1,748,1,0,0 +3457,michael cunningham,michael,cunningham,2014-03-17,Male,1968-02-17,48,Greater than 45,African-American,0,1,0,0,1,-1,2014-03-16 08:38:24,2014-03-17 01:44:33,14003689CF10A,2014-03-16,,1,F,Hiring with Intent to Defraud,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-16,2014-03-17,1,0,746,0,0,0 +3458,jose chavez,jose,chavez,2013-01-26,Male,1978-11-27,37,25 - 45,Caucasian,0,2,0,0,1,-1,2013-01-25 10:39:04,2013-01-26 08:15:41,13001825MM10A,2013-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-26,Risk of Violence,3,Low,2013-01-26,2013-01-25,2013-01-26,1,0,1161,0,0,0 +3462,vidal cervantes,vidal,cervantes,2014-02-02,Male,1978-12-23,37,25 - 45,Caucasian,0,1,0,0,1,-1,2014-02-01 04:29:57,2014-02-02 08:38:06,14001782MM10A,2014-02-01,,1,M,Battery,1,15006794MM10A,(M1),1,2015-06-24,Battery,2015-06-25,2015-06-25,,1,15006794MM10A,(M1),2015-06-24,Battery,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,1,Low,2014-02-02,2015-06-25,2015-06-25,1,0,507,1,1,1 +3463,john grant,john,grant,2014-02-10,Male,1976-09-03,39,25 - 45,Caucasian,0,3,0,0,1,-3,2014-02-07 01:11:10,2014-02-07 09:15:23,14001744CF10A,2014-02-06,,4,F,Solicit Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-10,Risk of Violence,4,Low,2014-02-10,2014-06-27,2014-06-28,1,0,137,0,0,0 +3465,herold delinois,herold,delinois,2013-09-27,Male,1967-04-05,49,Greater than 45,Other,0,1,0,0,2,-1,2013-09-26 10:20:24,2013-09-27 01:35:34,13013684CF10A,,2013-09-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-27,Risk of Violence,1,Low,2013-09-27,2013-09-26,2013-09-27,2,0,917,0,0,0 +3468,oneil kerone,oneil,kerone,2013-10-15,Male,1981-02-22,35,25 - 45,African-American,0,10,0,0,3,,,,10017061CF10A,2010-09-21,,1120,F,Aggravated Battery / Pregnant,1,15011321CF10A,(F3),,2015-06-14,False Imprisonment,,,,1,15011321CF10A,(F3),2015-06-14,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2013-10-15,Risk of Violence,10,High,2013-10-15,,,3,0,607,1,1,1 +3475,donald duke,donald,duke,2013-03-30,Male,1973-04-01,43,25 - 45,Caucasian,0,5,0,0,5,-1,2013-03-29 11:13:36,2013-03-30 04:31:13,13004530CF10A,2013-03-29,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-30,Risk of Violence,6,Medium,2013-03-30,2013-03-29,2013-03-30,5,0,1098,0,0,0 +3480,willie wiggins,willie,wiggins,2013-01-03,Male,1962-05-02,53,Greater than 45,African-American,0,2,0,0,1,-1,2013-01-02 10:49:04,2013-01-03 01:20:01,13000112MM10A,2013-01-02,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-02,2013-01-03,1,0,1184,0,0,0 +3483,jason herring,jason,herring,2013-10-10,Male,1976-11-24,39,25 - 45,Caucasian,0,1,0,0,0,-1,2013-10-09 02:26:58,2013-10-11 10:06:16,13019192MM10A,2013-10-09,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-10-17,2013-10-22,0,1,7,0,0,0 +3487,raul calvet,raul,calvet,2013-05-29,Male,1967-04-02,49,Greater than 45,Caucasian,0,6,0,0,7,,,,13007602CF10A,2013-05-28,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-29,Risk of Violence,4,Low,2013-05-29,,,7,0,1038,0,0,0 +3488,james conroy,james,conroy,2013-07-15,Male,1980-02-03,36,25 - 45,Caucasian,0,1,0,0,2,-4,2013-07-11 11:11:06,2013-07-12 08:34:26,13009750CF10A,2013-07-11,,4,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-15,Risk of Violence,1,Low,2013-07-15,2013-07-11,2013-07-12,2,0,991,0,0,0 +3489,wilnika wilson,wilnika,wilson,2013-02-07,Female,1991-11-21,24,Less than 25,African-American,0,9,0,0,1,-1,2013-02-06 10:07:57,2013-02-10 04:53:33,12016323CF10A,,2013-02-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-07,Risk of Violence,5,Medium,2013-02-07,2013-12-13,2013-12-26,1,3,309,0,0,0 +3491,rogrigo penaranda,rogrigo,penaranda,2014-02-01,Male,1980-10-04,35,25 - 45,Hispanic,0,2,0,0,0,-1,2014-01-31 03:23:35,2014-02-01 10:09:54,14001745MM10A,2014-01-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-01,Risk of Violence,1,Low,2014-02-01,2014-01-31,2014-02-01,0,0,790,0,0,0 +3492,roderick thomas,roderick,thomas,2014-03-10,Male,1993-01-07,23,Less than 25,African-American,0,7,0,0,3,0,2014-03-10 02:25:18,2014-03-11 02:54:42,14003369CF10A,2014-03-09,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-10,Risk of Violence,5,Medium,2014-03-10,2014-03-10,2014-03-11,3,1,753,0,0,0 +3493,gymmy justin,gymmy,justin,2013-04-02,Male,1990-01-06,26,25 - 45,African-American,0,2,0,0,2,-1,2013-04-01 11:49:53,2013-04-02 12:59:44,13004676CF10A,2013-04-01,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-02,Risk of Violence,3,Low,2013-04-02,2013-06-27,2013-06-28,2,0,86,0,0,0 +3499,johnny masses,johnny,masses,2013-01-07,Female,1985-09-20,30,25 - 45,African-American,0,10,3,2,14,0,2013-01-07 04:56:40,2013-01-12 08:50:28,13000270CF10A,2013-01-07,,0,F,Carrying Concealed Firearm,1,14003094CF10A,(M1),1,2014-03-04,Resist/Obstruct W/O Violence,2014-03-05,2014-04-11,,1,14004826MM10A,(M1),2014-03-04,Assault Law Enforcement Officer,Risk of Recidivism,10,High,2013-01-07,Risk of Violence,7,Medium,2013-01-07,2013-04-06,2013-04-13,14,5,89,0,1,1 +3500,justin darrall,justin,darrall,2013-03-19,Male,1990-08-03,25,25 - 45,Caucasian,0,6,0,0,2,0,2013-03-19 03:36:03,2013-03-20 04:10:08,13005428MM10A,2013-03-19,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-19,Risk of Violence,6,Medium,2013-03-19,2013-03-19,2013-03-20,2,1,1109,0,0,0 +3504,jacolby floyd,jacolby,floyd,2013-06-28,Male,1990-03-12,26,25 - 45,African-American,0,4,0,0,2,-29,2013-05-30 07:22:09,2013-06-28 05:34:53,13010391MM10A,2013-05-30,,29,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-28,Risk of Violence,4,Low,2013-06-28,2013-05-30,2013-06-28,2,0,1008,0,0,0 +3506,timothy newson,timothy,newson,2013-08-23,Male,1989-06-13,26,25 - 45,African-American,0,8,0,0,7,-49,2013-07-05 09:14:47,2013-07-06 07:12:01,13012786MM10A,2013-07-05,,49,M,Carrying A Concealed Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-23,Risk of Violence,6,Medium,2013-08-23,2014-06-19,2014-06-24,7,0,300,0,0,0 +3507,paulo lapa,paulo,lapa,2013-05-20,Male,1955-08-16,60,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-05-19 06:07:29,2013-05-20 06:56:01,13007127CF10A,2013-05-19,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-20,Risk of Violence,1,Low,2013-05-20,2015-07-15,2015-07-20,0,0,786,0,0,0 +3508,elexus shell,elexus,shell,2014-03-14,Female,1995-12-05,20,Less than 25,African-American,0,5,0,0,0,-1,2014-03-13 10:29:12,2014-03-14 08:36:11,14003646CF10A,2014-03-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-14,Risk of Violence,7,Medium,2014-03-14,2014-03-13,2014-03-14,0,0,749,0,0,0 +3511,angel navarro,angel,navarro,2014-03-20,Male,1992-10-14,23,Less than 25,Caucasian,0,3,0,0,0,0,2014-03-20 03:17:09,2014-03-20 09:58:54,14003947CF10A,2014-03-20,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-20,Risk of Violence,4,Low,2014-03-20,2014-03-20,2014-03-20,0,0,743,0,0,0 +3512,christopher stewart,christopher,stewart,2013-04-10,Male,1989-09-21,26,25 - 45,African-American,0,7,0,0,5,-1,2013-04-09 11:57:35,2013-04-16 10:03:13,13005083CF10A,,2013-04-09,1,F,arrest case no charge,1,13009521CF10A,(F7),,2013-06-13,Burglary Conveyance Assault/Bat,,,,1,13009521CF10A,(F7),2013-06-13,Burglary Conveyance Assault/Bat,Risk of Recidivism,7,Medium,2013-04-10,Risk of Violence,6,Medium,2013-04-10,2013-04-09,2013-04-16,5,6,64,1,1,1 +3515,james true,james,true,2014-01-07,Male,1975-09-03,40,25 - 45,Caucasian,0,1,0,0,4,0,2014-01-07 02:22:12,2014-01-08 03:19:00,14001010MU10A,2014-01-06,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-04-11,2014-04-15,4,1,94,0,0,0 +3516,onique williams,onique,williams,2014-03-03,Male,1987-06-20,28,25 - 45,Other,0,3,0,0,1,-1,2014-03-02 04:53:07,2014-03-03 08:04:38,14002949CF10A,2014-03-02,,1,F,Felony Driving While Lic Suspd,1,15011203MM10A,(M1),1,2015-10-25,Battery,2015-10-26,2015-10-31,,1,15011203MM10A,(M1),2015-10-25,Battery,Risk of Recidivism,3,Low,2014-03-03,Risk of Violence,3,Low,2014-03-03,2015-10-26,2015-10-31,1,0,601,1,1,1 +3523,jesus melero,jesus,melero,2014-02-13,Male,1962-05-20,53,Greater than 45,Caucasian,0,1,0,0,1,-12,2014-02-01 11:21:58,2014-02-13 10:41:33,14001208CF10A,,2014-02-01,12,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2014-02-01,2014-02-13,1,0,778,0,0,0 +3525,anthony allegretti,anthony,allegretti,2013-04-19,Male,1959-09-09,56,Greater than 45,Caucasian,0,2,0,0,5,-45,2013-03-05 03:44:35,2013-03-13 07:58:40,13003297CF10A,2013-03-05,,45,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-03-05,2013-03-13,5,0,1078,0,0,0 +3528,shameka peterson,shameka,peterson,2013-08-20,Female,1991-11-04,24,Less than 25,African-American,0,3,0,0,0,-1,2013-08-19 09:16:36,2013-08-20 07:47:23,13011621CF10A,2013-08-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-20,Risk of Violence,3,Low,2013-08-20,2013-08-19,2013-08-20,0,0,955,0,0,0 +3529,isaac pardo,isaac,pardo,2013-03-18,Male,1985-01-17,31,25 - 45,Hispanic,0,1,0,0,0,-5,2013-03-13 03:41:11,2013-03-14 07:33:57,13003684CF10A,2013-03-13,,5,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-13,2013-03-14,0,0,1110,0,0,0 +3531,sonia burca,sonia,burca,2013-02-08,Female,1982-06-20,33,25 - 45,Caucasian,0,3,0,0,2,-1,2013-02-07 12:53:38,2013-02-07 07:17:58,13001870CF10A,2013-02-06,,2,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-08,Risk of Violence,2,Low,2013-02-08,2013-05-17,2013-06-27,2,0,98,0,0,0 +3533,michael gonzalez,michael,gonzalez,2013-03-23,Male,1989-06-03,26,25 - 45,Caucasian,0,10,3,0,8,-1,2013-03-22 06:22:56,2013-05-03 03:49:00,13004177CF10A,2013-03-22,,1,F,Robbery / Weapon,1,14000546CF10A,(F3),,2013-11-07,Grand Theft in the 3rd Degree,,,,1,14000309CF10A,(F3),2013-12-30,Aggravated Assault w/Firearm,Risk of Recidivism,10,High,2013-03-23,Risk of Violence,7,Medium,2013-03-23,2013-03-22,2013-05-03,8,41,229,1,1,1 +3534,derik pollard,derik,pollard,2013-06-27,Male,1959-06-13,56,Greater than 45,Caucasian,0,1,0,0,1,-65,2013-04-23 07:19:10,2013-04-26 01:43:59,13005816CF10A,2013-04-23,,65,M,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-27,Risk of Violence,1,Low,2013-06-27,2013-04-23,2013-04-26,1,0,1009,0,0,0 +3535,douglas states,douglas,states,2013-04-19,Male,1984-01-29,32,25 - 45,Caucasian,0,2,0,0,2,-1,2013-04-18 10:07:01,2013-04-19 07:21:29,13005584CF10A,2013-04-18,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-12-09,2013-12-10,2,0,234,0,0,0 +3536,oscar tapia,oscar,tapia,2014-09-08,Male,1990-06-14,25,25 - 45,Caucasian,0,2,0,0,0,0,2014-09-08 03:42:10,2014-09-11 03:44:41,14012251CF10A,,2014-09-08,0,F,arrest case no charge,1,15003130CF10A,(F3),0,2015-03-07,Tamper With Witness/Victim/CI,2015-03-07,2015-03-08,,1,15003130CF10A,(M1),2015-03-07,Battery,Risk of Recidivism,2,Low,2014-09-08,Risk of Violence,3,Low,2014-09-08,2015-03-07,2015-03-08,0,3,180,1,1,1 +3538,marvon jemmott,marvon,jemmott,2013-12-14,Male,1995-01-17,21,Less than 25,African-American,0,2,0,0,1,-1,2013-12-13 07:02:10,2013-12-14 01:30:41,13017261CF10A,2013-12-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-14,Risk of Violence,5,Medium,2013-12-14,2014-11-12,2014-12-24,1,0,333,0,0,0 +3539,zaviaus smith,zaviaus,smith,2013-04-13,Male,1977-07-29,38,25 - 45,African-American,0,5,0,0,3,0,2013-04-13 01:46:54,2013-04-14 07:38:52,13006908CF10A,2013-04-12,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-13,Risk of Violence,6,Medium,2013-04-13,2013-04-13,2013-04-14,3,1,1084,0,0,0 +3540,patrick santoni,patrick,santoni,2013-10-09,Male,1992-05-26,23,Less than 25,Caucasian,0,2,0,0,0,-4,2013-10-05 05:06:33,2013-10-06 07:58:45,13013989CF10A,2013-10-05,,4,F,Fleeing Or Attmp Eluding A Leo,1,16001749MM10A,(M1),0,2016-02-23,Resist/Obstruct W/O Violence,2016-02-23,2016-02-24,,0,,,,,Risk of Recidivism,2,Low,2013-10-09,Risk of Violence,3,Low,2013-10-09,2016-02-23,2016-02-24,0,0,867,1,0,0 +3541,royston walker,royston,walker,2014-01-23,Male,1948-05-14,67,Greater than 45,African-American,0,1,0,0,4,,,,13039262TC10A,2013-08-03,,173,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-23,Risk of Violence,1,Low,2014-01-23,,,4,0,799,0,0,0 +3542,david hise,david,hise,2014-03-28,Male,1996-01-23,20,Less than 25,Caucasian,0,6,0,1,0,-1,2014-03-27 01:13:30,2014-04-04 08:54:48,14004339CF10A,,2014-03-27,1,F,arrest case no charge,1,15000397CF10A,(F3),0,2015-01-09,Grand Theft in the 3rd Degree,2015-01-09,2015-02-05,,1,15000397CF10A,(F1),2015-01-09,Aid/Abet Burglary Assault/Batt,Risk of Recidivism,6,Medium,2014-03-28,Risk of Violence,7,Medium,2014-03-28,2015-01-09,2015-02-05,0,7,287,1,1,1 +3544,janel williams,janel,williams,2014-01-14,Male,1991-07-07,24,Less than 25,African-American,0,2,0,0,1,-1,2014-01-13 09:14:52,2014-01-19 09:29:15,14000577CF10A,2014-01-13,,1,F,Burglary Unoccupied Dwelling,1,14013919MM10A,(M1),0,2014-09-18,Battery,2014-09-18,2015-01-05,,1,14013919MM10A,(M1),2014-09-18,Battery,Risk of Recidivism,2,Low,2014-01-14,Risk of Violence,3,Low,2014-01-14,2014-09-18,2015-01-05,1,5,247,1,1,1 +3546,richard santos,richard,santos,2014-02-20,Male,1992-12-11,23,Less than 25,Hispanic,0,2,0,0,0,0,2014-02-20 01:30:24,2014-02-20 08:53:21,14002359CF10A,2014-02-19,,1,F,Agg Fleeing/Eluding High Speed,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-20,Risk of Violence,3,Low,2014-02-20,2014-02-20,2014-02-20,0,0,771,0,0,0 +3547,timothy young,timothy,young,2013-03-09,Male,1967-03-22,49,Greater than 45,African-American,0,4,0,0,3,-1,2013-03-08 08:30:08,2013-03-09 08:10:58,12017244CF10A,,2013-03-08,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,3,0,1119,0,0,0 +3552,john macpherson,john,macpherson,2014-03-14,Male,1987-07-17,28,25 - 45,Caucasian,0,3,0,0,0,0,2014-03-14 03:35:23,2014-03-27 08:45:42,14004467MM10A,2014-03-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-14,Risk of Violence,2,Low,2014-03-14,2014-03-14,2014-03-27,0,13,749,0,0,0 +3554,claude grenon,claude,grenon,2013-01-26,Male,1949-02-18,67,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-01-25 03:23:20,2013-01-26 09:12:07,13001269CF10A,,2013-01-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-26,Risk of Violence,1,Low,2013-01-26,2013-01-25,2013-01-26,3,0,1161,0,0,0 +3556,angel dejesus,angel,dejesus,2013-11-28,Male,1983-04-06,33,25 - 45,Hispanic,0,1,0,0,0,0,2013-11-28 02:33:43,2013-11-29 08:55:05,13016553CF10A,2013-11-28,,0,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-28,Risk of Violence,1,Low,2013-11-28,2013-11-28,2013-11-29,0,1,855,0,0,0 +3560,michael murdough,michael,murdough,2013-11-06,Male,1975-09-23,40,25 - 45,Caucasian,0,3,0,0,4,-80,2013-08-18 01:02:37,2013-11-04 12:02:25,01004839CF10A,,2013-08-26,72,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-06,Risk of Violence,4,Low,2013-11-06,2013-08-18,2013-11-04,4,0,877,0,0,0 +3562,craig lattimore,craig,lattimore,2013-02-16,Male,1963-09-03,52,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-15 07:20:36,2013-02-16 07:12:26,13002365CF10A,2013-02-15,,1,F,Solicitation On Felony 3 Deg,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-16,Risk of Violence,1,Low,2013-02-16,2013-02-15,2013-02-16,0,0,1140,0,0,0 +3566,steven corey,steven,corey,2013-08-01,Male,1993-11-30,22,Less than 25,Caucasian,0,9,0,0,1,-1,2013-07-31 02:58:40,2013-08-01 09:55:06,13010696CF10A,2013-07-31,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-01,Risk of Violence,9,High,2013-08-01,2013-12-05,2013-12-07,1,0,126,0,0,0 +3568,emad abdelquader,emad,abdelquader,2013-02-19,Male,1979-12-09,36,25 - 45,Caucasian,0,7,0,0,9,-42,2013-01-08 03:25:44,2013-01-09 02:55:36,13000318CF10A,2013-01-08,,42,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-19,Risk of Violence,3,Low,2013-02-19,2014-12-16,2015-06-12,9,0,665,0,0,0 +3570,julio salem,julio,salem,2014-11-28,Male,1975-09-12,40,25 - 45,Caucasian,0,1,0,0,0,-1,2014-11-27 04:39:17,2014-11-28 01:49:05,14016882MM10A,2014-11-27,,1,M,Battery,1,15012294MM10A,(M1),0,2015-11-20,Giving False Crime Report,2015-11-20,2015-11-22,,1,15012158MM10A,(M1),2015-11-20,Battery,Risk of Recidivism,1,Low,2014-11-28,Risk of Violence,1,Low,2014-11-28,2015-11-20,2015-11-22,0,0,357,1,1,1 +3571,donny evans,donny,evans,2013-04-12,Male,1985-09-10,30,25 - 45,Caucasian,0,8,0,0,1,0,2013-04-12 05:23:21,2013-04-12 08:19:16,13007109MM10A,2013-04-12,,0,M,Expired DL More Than 6 Months,1,14006749MM10A,(M1),0,2014-04-21,Battery,2014-04-21,2014-04-22,,1,14006749MM10A,(M1),2014-04-21,Battery,Risk of Recidivism,8,High,2013-04-12,Risk of Violence,6,Medium,2013-04-12,2014-04-21,2014-04-22,1,0,374,1,1,1 +3573,jonas garcon,jonas,garcon,2013-10-24,Male,1973-10-07,42,25 - 45,African-American,0,1,0,0,1,-1,2013-10-23 09:26:43,2013-10-24 01:16:59,13003080CF10A,,2013-10-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,2013-11-14,2013-11-15,1,0,21,0,0,0 +3576,christopher moreno,christopher,moreno,2013-03-13,Male,1970-03-27,46,Greater than 45,Caucasian,0,2,0,0,4,-5,2013-03-08 11:15:24,2013-03-11 03:23:55,13003470CF10A,2013-03-08,,5,F,Video Voyeur-<24Y on Child >16,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,2013-03-08,2013-03-11,4,0,1115,0,0,0 +3577,jerome green,jerome,green,2014-02-06,Male,1977-07-13,38,25 - 45,African-American,0,3,0,0,4,0,2014-02-06 12:36:29,2014-02-06 09:10:10,14001657CF10A,2014-02-05,,1,F,Sell or Offer for Sale Counterfeit Goods,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-06,Risk of Violence,2,Low,2014-02-06,2014-02-06,2014-02-06,4,0,785,0,0,0 +3578,michael visconti,michael,visconti,2013-08-28,Male,1976-04-22,39,25 - 45,Hispanic,0,1,0,0,2,-113,2013-05-07 12:41:47,2013-08-20 10:59:38,13006464CF10A,2013-05-06,,114,F,Crimin Mischief Damage $1000+,1,14000241MM10A,(M1),1,2014-01-06,Assault On Law Enforc Officer,2014-01-07,2014-03-11,,1,14000241MM10A,(M1),2014-01-06,Assault On Law Enforc Officer,Risk of Recidivism,1,Low,2013-08-28,Risk of Violence,2,Low,2013-08-28,2014-03-11,2015-05-04,2,0,131,1,1,1 +3584,amadeo pabon,amadeo,pabon,2014-02-01,Male,1989-07-13,26,25 - 45,Caucasian,0,5,0,0,0,-1,2014-01-31 07:36:44,2014-02-01 08:44:54,14001389CF10A,2014-01-31,,1,M,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-01,Risk of Violence,4,Low,2014-02-01,2014-01-31,2014-02-01,0,0,790,0,0,0 +3591,andres varela,andres,varela,2013-08-13,Male,1989-01-02,27,25 - 45,Hispanic,0,3,0,0,2,-10,2013-08-03 10:33:08,2013-08-13 10:45:31,13010874CF10A,2013-08-03,,10,F,Lewd/Lasc Battery Pers 12+/<16,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,2013-08-03,2013-08-13,2,0,962,0,0,0 +3593,mark depalma,mark,depalma,2013-09-27,Male,1954-07-24,61,Greater than 45,Caucasian,0,4,0,0,1,0,2013-09-27 04:19:45,2013-09-28 05:16:53,13013737CF10A,,2013-09-27,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-27,Risk of Violence,2,Low,2013-09-27,2013-09-27,2013-09-28,1,1,917,0,0,0 +3596,carlos ramirezdiaz,carlos,ramirezdiaz,2013-05-04,Male,1958-10-11,57,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-04 12:03:36,2013-06-01 05:43:28,13006410CF10A,2013-05-03,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-05-04,2013-06-01,0,28,1063,0,0,0 +3597,steven filizzola,steven,filizzola,2013-12-23,Male,1992-03-24,24,Less than 25,Caucasian,0,5,0,3,3,-1,2013-12-22 06:05:43,2013-12-23 07:54:43,13023579MM10A,2013-12-22,,1,M,Battery,1,15006657MM10A,(M1),0,2015-06-20,Battery,2015-06-20,2015-06-22,,1,15006657MM10A,(M1),2015-06-20,Battery,Risk of Recidivism,5,Medium,2013-12-23,Risk of Violence,4,Low,2013-12-23,2015-06-20,2015-06-22,3,0,544,1,1,1 +3598,sterlyn ayres,sterlyn,ayres,2013-04-19,Male,1981-09-10,34,25 - 45,African-American,0,1,0,0,1,-1,2013-04-18 08:16:22,2013-04-19 07:23:23,13004136CF10A,,2013-04-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-04-18,2013-04-19,1,0,1078,0,0,0 +3600,alberto pagan,alberto,pagan,2013-05-26,Male,1988-07-05,27,25 - 45,Hispanic,0,2,0,0,1,-1,2013-05-25 11:25:22,2013-05-27 04:29:59,13007466CF10A,2013-05-25,,1,F,Throw Missile Into Pub/Priv Dw,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-26,Risk of Violence,3,Low,2013-05-26,2013-05-25,2013-05-27,1,1,1041,0,0,0 +3602,jahara graham,jahara,graham,2013-05-19,Male,1981-01-04,35,25 - 45,African-American,0,8,0,0,10,0,2013-05-19 12:58:48,2013-05-20 02:43:09,13009593MM10A,2013-05-18,,1,M,Viol Prot Injunc Repeat Viol,1,13014978CF10A,(F3),1,2013-10-25,Tampering With Physical Evidence,2013-10-26,2013-10-26,,1,13014978CF10A,(F3),2013-10-25,Agg Fleeing and Eluding,Risk of Recidivism,8,High,2013-05-19,Risk of Violence,3,Low,2013-05-19,2013-05-19,2013-05-20,10,1,159,1,1,1 +3604,phillip hunt,phillip,hunt,2013-03-08,Male,1962-05-24,53,Greater than 45,Other,0,5,0,0,1,733,2015-03-11 07:45:41,2015-03-16 09:42:12,12010684CF10A,,2012-12-06,92,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-08,Risk of Violence,2,Low,2013-03-08,2015-03-11,2015-03-16,1,0,733,0,0,0 +3605,victor levell,victor,levell,2013-11-11,Male,1971-10-17,44,25 - 45,African-American,0,1,0,0,0,-1,2013-11-10 03:52:01,2013-11-11 07:55:14,13015658CF10A,2013-11-10,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-11,Risk of Violence,2,Low,2013-11-11,2014-01-23,2014-06-04,0,0,73,0,0,0 +3611,randall zucker,randall,zucker,2013-10-03,Male,1955-01-05,61,Greater than 45,Caucasian,0,6,0,0,10,-1,2013-10-02 11:48:45,2013-10-25 08:32:28,13013818CF10A,2013-10-02,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-03,Risk of Violence,5,Medium,2013-10-03,2013-12-24,2014-01-08,10,22,82,0,0,0 +3617,ronald burns,ronald,burns,2013-12-29,Male,1973-07-16,42,25 - 45,African-American,0,1,0,0,4,0,2013-12-29 04:03:24,2013-12-29 07:27:08,08058411TC40A,2008-06-29,,2009,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-29,Risk of Violence,1,Low,2013-12-29,2015-11-23,2015-12-07,4,0,694,0,0,0 +3619,willie clark,willie,clark,2013-08-06,Male,1977-02-09,39,25 - 45,African-American,0,2,0,0,4,-32,2013-07-05 12:39:54,2013-07-12 08:26:45,13011031CF10A,2013-08-06,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-06,Risk of Violence,2,Low,2013-08-06,2013-09-18,2013-10-02,4,0,43,0,0,0 +3620,stella ashen,stella,ashen,2013-12-16,Female,1963-01-03,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-15 12:10:10,2013-12-16 01:08:05,13023231MM10A,2013-12-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0,0 +3622,leonard joiner,leonard,joiner,2013-01-17,Male,1989-12-16,26,25 - 45,African-American,0,10,0,0,3,-1,2013-01-16 07:22:02,2013-01-18 05:35:35,13001101MO10A,2013-01-16,,1,M,Poss Of Controlled Substance,1,15004511CF10A,(F3),0,2015-04-06,Grand Theft in the 3rd Degree,2015-04-06,2015-04-06,,0,,,,,Risk of Recidivism,10,High,2013-01-17,Risk of Violence,9,High,2013-01-17,2015-04-06,2015-04-06,3,1,809,0,0,0 +3626,juan conde,juan,conde,2014-02-12,Male,1966-01-16,50,Greater than 45,Caucasian,0,7,0,0,0,-1,2014-02-11 04:53:10,2014-03-13 10:02:48,14001935CF10A,2014-02-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-07-02,2014-07-10,0,29,140,0,0,0 +3627,mark montalvo,mark,montalvo,2013-01-26,Male,1972-04-07,44,25 - 45,Caucasian,3,7,0,0,16,-1,2013-01-25 06:55:19,2013-04-17 04:51:55,13001817MM10A,2013-01-25,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-26,Risk of Violence,3,Low,2013-01-26,2013-01-25,2013-04-17,16,81,1161,0,0,0 +3628,kwamane harris,kwamane,harris,2014-10-07,Male,1991-08-07,24,Less than 25,African-American,0,6,1,3,4,-1,2014-10-06 01:51:55,2014-10-07 06:59:41,14013476CF10A,2014-10-06,,1,F,Agg Assault W/int Com Fel Dome,1,15001799CF10A,(F3),6,2015-02-02,Felony Battery (Dom Strang),2015-02-08,2015-02-09,,1,15001799CF10A,(F3),2015-02-02,Felony Battery (Dom Strang),Risk of Recidivism,6,Medium,2014-10-07,Risk of Violence,6,Medium,2014-10-07,2014-11-07,2014-11-21,4,0,31,0,1,1 +3630,patricio regaldo,patricio,regaldo,2013-05-11,Male,1965-10-20,50,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-11 03:05:18,2013-05-13 07:50:55,13006755CF10A,2013-05-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-11,Risk of Violence,1,Low,2013-05-11,2013-05-11,2013-05-13,0,2,1056,0,0,0 +3631,danielle sites,danielle,sites,2014-02-08,Female,1980-04-08,36,25 - 45,Caucasian,0,1,0,0,0,0,2014-02-08 04:16:48,2014-02-09 06:28:32,14002209MM10A,2014-02-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-08,Risk of Violence,1,Low,2014-02-08,2014-02-08,2014-02-09,0,1,783,0,0,0 +3634,miguel palacios,miguel,palacios,2013-03-29,Male,1976-07-21,39,25 - 45,Caucasian,0,3,0,0,0,-1,2013-03-28 05:41:23,2013-05-21 11:04:40,13004697CF10A,,2013-03-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-29,Risk of Violence,2,Low,2013-03-29,2013-03-28,2013-05-21,0,53,1099,0,0,0 +3635,tierra peterson,tierra,peterson,2013-03-12,Female,1991-12-09,24,Less than 25,African-American,0,4,0,0,2,729,2015-03-11 11:49:34,2015-03-25 08:27:11,13002573CF10A,2012-12-12,,90,F,Crim Use Of Personal Id Info,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-12,Risk of Violence,4,Low,2013-03-12,2015-03-11,2015-03-25,2,0,729,0,0,0 +3636,sarah grissett,sarah,grissett,2013-05-12,Female,1961-05-28,54,Greater than 45,African-American,0,6,0,0,7,-1,2013-05-11 09:03:48,2013-05-30 05:36:11,13006784CF10A,2013-05-11,,1,F,Fraudulent Use of Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-12,Risk of Violence,1,Low,2013-05-12,2013-05-11,2013-05-30,7,18,1055,0,0,0 +3639,samuel bennett,samuel,bennett,2013-08-07,Male,1987-01-05,29,25 - 45,African-American,0,2,0,0,0,0,2013-08-07 04:13:32,2013-08-08 01:51:29,13011057CF10A,2013-08-06,,1,M,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-07,Risk of Violence,2,Low,2013-08-07,2013-08-07,2013-08-08,0,1,968,0,0,0 +3641,michael flores,michael,flores,2014-01-26,Male,1989-05-26,26,25 - 45,Caucasian,0,6,0,0,0,-1,2014-01-25 11:17:21,2014-01-26 08:05:58,14001432MM10A,2014-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-26,Risk of Violence,2,Low,2014-01-26,2014-01-25,2014-01-26,0,0,796,0,0,0 +3645,moises delgado,moises,delgado,2013-11-18,Male,1981-11-08,34,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-17 08:34:35,2013-11-18 08:26:12,13021606MM10A,2013-11-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,2,Low,2013-11-18,2013-11-17,2013-11-18,0,0,865,0,0,0 +3647,alliyah anderson,alliyah,anderson,2013-12-24,Male,1995-04-24,20,Less than 25,African-American,0,3,0,0,0,-1,2013-12-23 07:21:11,2013-12-25 03:56:33,13017700CF10A,2013-12-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-24,Risk of Violence,6,Medium,2013-12-24,2013-12-23,2013-12-25,0,1,829,0,0,0 +3649,sean cherfils,sean,cherfils,2014-05-10,Male,1990-01-12,26,25 - 45,African-American,0,8,0,0,4,0,2014-05-10 12:21:42,2014-05-11 01:42:50,14006519CF10A,2014-05-10,,0,F,Possession Of Methamphetamine,1,15003282MM10A,(M1),0,2015-03-19,Resist/Obstruct W/O Violence,2015-03-19,2015-03-20,,1,16000812MM10A,(M1),2016-01-23,Battery,Risk of Recidivism,8,High,2014-05-10,Risk of Violence,6,Medium,2014-05-10,2015-03-19,2015-03-20,4,1,313,1,1,1 +3653,justin lynch,justin,lynch,2013-01-10,Male,1990-02-28,26,25 - 45,African-American,0,2,0,0,0,-1,2013-01-09 10:58:44,2013-01-10 01:20:58,13000400CF10A,2013-01-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,3,Low,2013-01-10,2013-01-09,2013-01-10,0,0,1177,0,0,0 +3655,gregory willey,gregory,willey,2013-03-31,Male,1960-11-26,55,Greater than 45,African-American,0,4,0,0,1,-1,2013-03-30 08:52:46,2013-03-31 02:25:58,13004581CF10A,2013-03-30,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-03-30,2013-03-31,1,0,1097,0,0,0 +3656,duson charles,duson,charles,2013-04-25,Male,1993-07-23,22,Less than 25,African-American,0,9,0,0,0,-1,2013-04-24 01:27:25,2013-04-26 04:29:27,13007972MM10A,2013-04-24,,1,M,Prowling/Loitering,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-25,Risk of Violence,7,Medium,2013-04-25,2013-04-24,2013-04-26,0,1,1072,0,0,0 +3657,lanique lee,lanique,lee,2014-02-16,Female,1989-08-23,26,25 - 45,African-American,0,4,0,0,0,-1,2014-02-15 02:28:22,2014-02-16 09:23:55,14002664MM10A,2014-02-15,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-16,Risk of Violence,3,Low,2014-02-16,2014-02-15,2014-02-16,0,0,775,0,0,0 +3658,hassan ahmed,hassan,ahmed,2013-02-10,Male,1959-09-15,56,Greater than 45,Other,0,1,0,0,0,0,2013-02-10 07:14:52,2013-02-11 07:22:42,13002949MM10A,2013-02-10,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-10,Risk of Violence,1,Low,2013-02-10,2013-02-10,2013-02-11,0,1,1146,0,0,0 +3659,francisco sanchezferrans,francisco,sanchezferrans,2013-02-27,Male,1949-08-09,66,Greater than 45,Caucasian,0,1,0,0,1,331,2014-01-24 10:33:08,2014-07-10 12:38:49,11012504CF10A,,2013-02-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-27,Risk of Violence,2,Low,2013-02-27,2014-01-24,2014-07-10,1,0,331,0,0,0 +3660,terrence adderly,terrence,adderly,2013-10-23,Male,1969-12-08,46,Greater than 45,Other,0,3,0,0,2,-1,2013-10-22 04:07:57,2013-10-23 04:12:28,13014750CF10A,2013-10-22,,1,F,Possession Of Diazepam,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-23,Risk of Violence,4,Low,2013-10-23,2013-10-22,2013-10-23,2,0,891,0,0,0 +3662,jamar dukes,jamar,dukes,2013-03-25,Male,1988-02-10,28,25 - 45,African-American,0,7,0,0,4,-1,2013-03-24 11:47:45,2013-04-23 09:07:38,13004248CF10A,2013-03-24,,1,F,Burglary Structure Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-25,Risk of Violence,9,High,2013-03-25,2013-03-24,2013-04-23,4,29,1103,0,0,0 +3663,andre laidlaw,andre,laidlaw,2013-01-31,Male,1982-08-22,33,25 - 45,African-American,0,6,0,0,8,-1,2013-01-30 11:49:24,2013-02-01 09:53:16,13001501CF10A,2013-01-30,,1,F,Possession of Oxycodone,1,15039267TC30A,(M2),,2015-05-26,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-31,Risk of Violence,5,Medium,2013-01-31,2013-01-30,2013-02-01,8,1,845,1,0,0 +3666,marquita young,marquita,young,2014-01-05,Female,1984-07-27,31,25 - 45,African-American,0,2,0,0,0,-1,2014-01-04 09:31:56,2014-01-05 01:37:46,14000173MM10A,2014-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-05,Risk of Violence,2,Low,2014-01-05,2014-01-04,2014-01-05,0,0,817,0,0,0 +3667,dywahn bethea,dywahn,bethea,2013-01-15,Male,1989-10-18,26,25 - 45,African-American,0,5,0,0,1,0,2013-01-15 05:01:03,2013-01-15 06:43:13,13001017MO10A,2013-01-15,,0,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-15,Risk of Violence,4,Low,2013-01-15,2013-01-15,2013-01-15,1,0,1172,0,0,0 +3668,ayinde crespo,ayinde,crespo,2013-10-25,Male,1980-07-23,35,25 - 45,African-American,0,5,0,0,4,,,,11025642MO10A,2011-11-03,,722,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,2,Low,2013-10-25,,,4,0,889,0,0,0 +3669,roxana stewart,roxana,stewart,2014-03-10,Female,1974-09-01,41,25 - 45,Caucasian,0,7,0,0,12,-45,2014-01-24 08:31:19,2014-02-04 06:41:24,14003149CF10A,2014-01-24,,45,F,Felony Battery w/Prior Convict,1,15003741MM10A,(M1),0,2015-03-31,Battery,2015-03-31,2015-04-13,,1,15003741MM10A,(M1),2015-03-31,Battery,Risk of Recidivism,7,Medium,2014-03-10,Risk of Violence,5,Medium,2014-03-10,2015-03-31,2015-04-13,12,0,386,1,1,1 +3671,jason mills,jason,mills,2013-04-13,Male,1981-05-28,34,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-12 08:57:34,2013-04-13 08:11:57,13007128MM10A,2013-04-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-13,Risk of Violence,1,Low,2013-04-13,2013-04-12,2013-04-13,0,0,1084,0,0,0 +3673,dwayne taylor,dwayne,taylor,2013-04-26,Male,1983-01-04,33,25 - 45,Other,0,1,0,0,0,-1,2013-04-25 06:50:35,2013-04-26 08:17:42,13005932CF10A,2013-04-25,,1,F,Sell or Offer for Sale Counterfeit Goods,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-26,Risk of Violence,1,Low,2013-04-26,2013-04-25,2013-04-26,0,0,1071,0,0,0 +3674,shawnnette longley,shawnnette,longley,2014-02-16,Female,1983-11-08,32,25 - 45,African-American,0,2,0,0,0,-1,2014-02-15 03:23:21,2014-02-16 02:27:00,14002320CF10A,2014-02-15,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-16,Risk of Violence,1,Low,2014-02-16,2014-02-15,2014-02-16,0,0,775,0,0,0 +3675,shaun mckinley,shaun,mckinley,2013-09-13,Male,1979-02-07,37,25 - 45,African-American,0,6,0,0,9,0,2013-09-13 03:59:13,2013-09-14 04:59:30,13012938CF10A,2013-09-12,,1,F,Poss Cocaine/Intent To Del/Sel,1,14006946CF10A,(F3),0,2014-05-19,False Imprisonment,2014-05-19,2014-12-09,,1,14006946CF10A,(F2),2014-05-19,Agg Battery Grt/Bod/Harm,Risk of Recidivism,6,Medium,2013-09-13,Risk of Violence,9,High,2013-09-13,2014-05-19,2014-12-09,9,1,248,1,1,1 +3676,bennie peele,bennie,peele,2013-06-06,Male,1965-09-29,50,Greater than 45,African-American,0,5,0,0,1,-22,2013-05-15 11:16:40,2013-05-16 02:04:44,13006966CF10A,2013-05-15,,22,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-06,Risk of Violence,5,Medium,2013-06-06,2013-05-15,2013-05-16,1,0,1030,0,0,0 +3678,derek suarez,derek,suarez,2013-09-12,Male,1981-03-05,35,25 - 45,Caucasian,0,2,0,0,1,-1,2013-09-11 10:29:21,2013-09-14 03:06:09,13013034CF10A,,2013-09-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-14,1,2,932,0,0,0 +3681,jacqueline battle,jacqueline,battle,2013-05-02,Female,1963-08-16,52,Greater than 45,African-American,0,9,0,0,8,-1,2013-05-01 09:03:54,2013-06-13 10:32:00,13006255CF10A,,2013-05-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-02,Risk of Violence,7,Medium,2013-05-02,2014-09-11,2014-10-16,8,42,497,0,0,0 +3684,jarvis cure,jarvis,cure,2013-12-18,Male,1989-11-04,26,25 - 45,African-American,0,7,1,2,5,-1,2013-12-17 06:58:28,2013-12-23 08:06:12,13017402CF10A,2013-12-17,,1,F,Shoot In Occupied Dwell,1,14000143MM10A,(M1),0,2014-01-03,Resist/Obstruct W/O Violence,2014-01-03,2014-01-16,,1,14006197CF10A,(M1),2014-05-03,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,7,Medium,2013-12-18,Risk of Violence,7,Medium,2013-12-18,2014-01-03,2014-01-16,5,5,16,1,1,1 +3685,raymon frazier,raymon,frazier,2013-01-27,Male,1979-12-02,36,25 - 45,African-American,0,9,0,0,1,,,,03002467TC10A,,2003-01-15,3665,M,arrest case no charge,1,14013106TC10A,(M2),,2014-03-21,Operating W/O Valid License,,,,1,15016021CF10A,(F7),2015-12-11,Burglary Dwelling Armed,Risk of Recidivism,9,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2009-10-08,2010-12-30,1,0,418,1,1,1 +3691,daniel levy,daniel,levy,2014-10-08,Male,1996-09-14,19,Less than 25,Other,0,9,0,0,0,-1,2014-10-07 03:10:54,2014-10-08 08:30:31,14014703MM10A,2014-10-07,,1,M,Battery,1,15005201CF10A,(F3),0,2015-04-21,Aggravated Assault W/Dead Weap,2015-04-21,2015-05-27,,1,15005201CF10A,(F3),2015-04-21,Aggravated Assault W/Dead Weap,Risk of Recidivism,9,High,2014-10-08,Risk of Violence,9,High,2014-10-08,2015-04-21,2015-05-27,0,0,195,1,1,1 +3693,jordan carson,jordan,carson,2014-03-15,Male,1991-08-22,24,Less than 25,African-American,0,2,0,0,0,0,2014-03-15 01:13:11,2014-03-16 08:35:16,14004527MM10A,2014-03-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-15,Risk of Violence,3,Low,2014-03-15,2015-06-12,2015-06-22,0,1,454,0,0,0 +3696,deandre fleury,deandre,fleury,2013-01-31,Male,1995-01-18,21,Less than 25,African-American,0,9,1,0,1,-1,2013-01-30 07:13:30,2013-01-31 07:16:59,13001505CF10A,2013-01-30,,1,F,Robbery / No Weapon,1,15001200MM20A,(M1),,2015-04-15,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-01-31,Risk of Violence,8,High,2013-01-31,2013-01-30,2013-01-31,1,0,804,1,0,0 +3697,adolfo casco,adolfo,casco,2013-01-27,Male,1962-01-06,54,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-26 07:42:36,2013-01-27 01:56:31,13001884MM10A,2013-01-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-27,Risk of Violence,2,Low,2013-01-27,2013-01-26,2013-01-27,0,0,1160,0,0,0 +3698,stephen kasdorf,stephen,kasdorf,2013-11-11,Male,1966-05-01,49,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-10 11:42:59,2014-01-23 05:55:25,13015646CF10A,2013-11-10,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-11,Risk of Violence,1,Low,2013-11-11,2014-10-25,2014-11-03,0,73,348,0,0,0 +3699,alexander johnson,alexander,johnson,2013-02-13,Male,1973-09-17,42,25 - 45,Caucasian,0,2,0,0,1,0,2013-02-13 12:16:53,2013-12-03 10:21:52,13002280CF10A,,2013-02-13,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2014-03-28,2014-04-25,1,293,408,0,0,0 +3701,bruce gadson,bruce,gadson,2013-10-23,Male,1955-02-04,61,Greater than 45,African-American,0,4,0,0,30,-56,2013-08-28 12:56:40,2013-10-17 12:53:19,11006754CF10A,,2013-08-28,56,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-23,Risk of Violence,2,Low,2013-10-23,2013-08-28,2013-10-17,30,0,891,0,0,0 +3703,ramon velez-cupeles,ramon,velez-cupeles,2013-10-20,Male,1942-04-07,74,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-20 12:02:11,2013-10-21 09:18:21,13019809MM10A,2013-10-19,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-20,Risk of Violence,1,Low,2013-10-20,2013-10-20,2013-10-21,0,1,894,0,0,0 +3704,gina leon,gina,leon,2013-01-03,Female,1978-03-01,38,25 - 45,Hispanic,0,1,0,0,0,0,2013-01-03 02:25:14,2013-01-03 06:46:16,13000121CF10A,2013-01-03,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-03,2013-01-03,0,0,1184,0,0,0 +3705,byron calhoun,byron,calhoun,2014-02-11,Male,1940-07-23,75,Greater than 45,Caucasian,0,1,0,0,2,,,,13078801TC20A,2013-12-15,,58,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-11,Risk of Violence,1,Low,2014-02-11,,,2,0,780,0,0,0 +3706,keisha grant,keisha,grant,2013-04-09,Female,1976-11-01,39,25 - 45,African-American,0,1,0,0,1,-1,2013-04-08 08:24:50,2013-04-09 02:11:07,12000242CF10A,,2013-04-09,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-04-08,2013-04-09,1,0,1088,0,0,0 +3708,katt mcnish,katt,mcnish,2013-05-12,Female,1976-05-14,39,25 - 45,Caucasian,0,-1,0,0,0,-1,2013-05-11 05:10:47,2013-05-12 05:55:20,13009096MM10A,2013-05-11,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,-1,N/A,2013-05-12,Risk of Violence,1,Low,2013-05-12,2013-05-11,2013-05-12,0,0,1055,0,0,0 +3709,tesa edwards,tesa,edwards,2013-04-14,Female,1977-11-17,38,25 - 45,African-American,0,1,0,0,0,-1,2013-04-13 02:34:02,2013-04-17 11:11:49,13005334CF10A,,2013-04-13,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-14,Risk of Violence,1,Low,2013-04-14,2013-04-13,2013-04-17,0,3,1083,0,0,0 +3712,john mathis,john,mathis,2013-03-05,Male,1962-08-31,53,Greater than 45,African-American,0,1,0,0,2,,,,05014965CF10A,,2008-10-21,1596,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,1,Low,2013-03-05,,,2,0,1123,0,0,0 +3714,allatia hogan,allatia,hogan,2013-04-05,Male,1963-01-20,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-04-04 11:14:20,2013-04-05 09:47:00,13006497MM10A,2013-04-04,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-04,2013-04-05,1,0,1092,0,0,0 +3716,jeffrey jackson,jeffrey,jackson,2013-05-02,Male,1962-09-08,53,Greater than 45,African-American,0,7,0,0,4,,,,12005643CF10A,2012-04-16,,381,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-02,Risk of Violence,1,Low,2013-05-02,,,4,0,1065,0,0,0 +3719,marvin robins,marvin,robins,2013-01-30,Male,1993-02-13,23,Less than 25,African-American,0,9,1,0,2,-1,2013-01-29 05:48:24,2013-04-16 01:26:37,13001446CF10A,2013-01-29,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-30,Risk of Violence,9,High,2013-01-30,2013-01-29,2013-04-16,2,76,1157,0,0,0 +3721,tania quaknine,tania,quaknine,2013-10-10,Female,1951-07-21,64,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-10-09 04:50:03,2013-10-10 09:49:38,13014150CF10A,,2013-10-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-10-09,2013-10-10,1,0,904,0,0,0 +3724,patricio guillen,patricio,guillen,2013-01-07,Male,1977-06-25,38,25 - 45,Hispanic,0,1,0,0,1,,,,12020597MM10A,2012-10-05,,94,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-07,Risk of Violence,1,Low,2013-01-07,,,1,0,1180,0,0,0 +3726,norma villalobos,norma,villalobos,2014-03-03,Female,1975-02-08,41,25 - 45,Hispanic,0,1,0,0,0,0,2014-03-03 02:43:25,2014-03-03 05:22:22,14003002CF10A,2014-03-02,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-03,2014-03-03,0,0,760,0,0,0 +3728,nikson suffrin,nikson,suffrin,2013-09-03,Male,1962-10-12,53,Greater than 45,Other,0,1,0,0,0,0,2013-09-03 03:51:17,2013-09-03 09:08:08,13016861MM10A,2013-09-03,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-03,Risk of Violence,1,Low,2013-09-03,2013-09-03,2013-09-03,0,0,941,0,0,0 +3729,enrick williams,enrick,williams,2013-12-01,Male,1982-02-12,34,25 - 45,African-American,0,1,0,0,0,-1,2013-11-30 04:17:12,2013-12-02 11:39:59,13016610CF10A,2013-11-30,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,2013-11-30,2013-12-02,0,1,852,0,0,0 +3732,christopher shuman,christopher,shuman,2013-09-09,Male,1990-02-23,26,25 - 45,African-American,0,1,0,0,1,-1,2013-09-08 08:06:42,2013-10-10 10:15:22,13012693CF10A,2013-09-08,,1,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-09,Risk of Violence,2,Low,2013-09-09,2013-09-08,2013-10-10,1,31,935,0,0,0 +3736,fidel novoa,fidel,novoa,2013-08-01,Male,1971-06-22,44,25 - 45,Caucasian,0,2,0,0,4,-1,2013-07-31 07:09:10,2013-08-02 04:53:29,13010702CF10A,2013-07-31,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-12-17,2013-12-20,4,1,138,0,0,0 +3737,phylichia maggie,phylichia,maggie,2014-02-20,Female,1988-05-09,27,25 - 45,Caucasian,0,2,0,0,0,0,2014-02-20 02:52:25,2014-02-25 06:09:33,14002431CF10A,2014-02-19,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-20,Risk of Violence,2,Low,2014-02-20,2014-02-20,2014-02-25,0,5,771,0,0,0 +3738,brandon hare,brandon,hare,2013-12-31,Male,1987-09-06,28,25 - 45,Caucasian,0,9,0,0,14,-1,2013-12-30 11:05:49,2013-12-31 07:56:01,13017995CF10A,2013-12-30,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-31,Risk of Violence,3,Low,2013-12-31,2013-12-30,2013-12-31,14,0,822,0,0,0 +3739,jorge vega,jorge,vega,2013-11-21,Male,1960-07-27,55,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-11-20 08:04:03,2013-11-21 08:17:32,13021839MM10A,2013-11-20,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-21,Risk of Violence,1,Low,2013-11-21,2013-11-20,2013-11-21,1,0,862,0,0,0 +3740,nadjeda delva,nadjeda,delva,2013-12-23,Female,1993-11-26,22,Less than 25,African-American,0,4,0,0,2,-60,2013-10-24 03:13:54,2013-12-23 02:23:51,13014862CF10A,,2013-10-24,60,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,5,Medium,2013-12-23,2013-10-24,2013-12-23,2,0,830,0,0,0 +3741,sean fleming,sean,fleming,2014-01-07,Male,1980-03-30,36,25 - 45,African-American,0,5,0,0,15,-1,2014-01-06 11:23:46,2014-01-08 08:09:38,12011657CF10A,,2014-01-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-04-11,2014-04-22,15,1,94,0,0,0 +3743,lawrence gaston,lawrence,gaston,2013-08-26,Male,1993-04-08,23,Less than 25,African-American,0,4,0,0,1,-1,2013-08-25 07:36:07,2013-08-26 07:55:05,13002091CF10A,,2013-08-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-26,Risk of Violence,6,Medium,2013-08-26,2013-10-26,2013-10-29,1,0,61,0,0,0 +3744,franklin rouse,franklin,rouse,2013-01-03,Male,1959-09-15,56,Greater than 45,African-American,0,1,0,0,1,0,2013-01-03 01:16:58,2013-01-03 01:37:26,13000175MM10A,2013-01-02,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-03,2013-01-03,1,0,1184,0,0,0 +3747,angel santiago,angel,santiago,2013-05-26,Male,1978-04-27,37,25 - 45,Caucasian,0,6,0,0,1,-1,2013-05-25 05:53:02,2013-05-26 08:34:47,13010080MM10A,2013-05-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-26,Risk of Violence,4,Low,2013-05-26,2013-05-25,2013-05-26,1,0,1041,0,0,0 +3758,dexter haynes,dexter,haynes,2014-02-27,Male,1970-05-23,45,Greater than 45,African-American,0,2,0,0,3,0,2014-02-27 09:17:50,2014-03-01 04:32:54,14003495MM10A,2014-02-27,,0,M,Viol Pretrial Release Dom Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-27,Risk of Violence,2,Low,2014-02-27,2014-02-27,2014-03-01,3,2,764,0,0,0 +3759,janice demps,janice,demps,2013-01-29,Female,1984-09-29,31,25 - 45,African-American,0,8,0,0,14,-1,2013-01-28 12:24:29,2013-01-30 07:55:23,13001368CF10A,2013-01-28,,1,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-29,Risk of Violence,8,High,2013-01-29,2013-02-05,2013-03-01,14,1,7,0,0,0 +3761,richard haynes,richard,haynes,2014-03-08,Male,1973-09-22,42,25 - 45,African-American,0,5,0,0,7,-1,2014-03-07 11:33:05,2014-03-09 09:14:28,14003251CF10A,2014-03-07,,1,F,Felony Battery (Dom Strang),1,14014314CF10A,(M1),70,2014-09-15,Viol Pretrial Release Dom Viol,2014-11-24,2014-11-28,,1,14014314CF10A,(F3),2014-09-15,Felony Battery w/Prior Convict,Risk of Recidivism,5,Medium,2014-03-08,Risk of Violence,1,Low,2014-03-08,2014-03-07,2014-03-09,7,1,191,1,1,1 +3768,natacha cherenfant,natacha,cherenfant,2013-01-02,Female,1980-03-01,36,25 - 45,African-American,0,1,0,0,1,0,2013-01-02 12:43:11,2013-01-02 01:12:11,13000055MM10A,2013-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,2013-01-02,2013-01-02,1,0,1185,0,0,0 +3769,gregory tauber,gregory,tauber,2013-01-24,Male,1961-10-31,54,Greater than 45,Caucasian,0,1,0,0,0,0,2013-01-24 02:06:19,2013-01-24 07:10:20,13001702MM10A,2013-01-24,,0,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2013-01-24,2013-01-24,0,0,1163,0,0,0 +3773,henry perez-betancur,henry,perez-betancur,2013-08-23,Male,1992-08-21,23,Less than 25,Hispanic,0,7,0,0,0,-1,2013-08-22 07:07:54,2013-08-23 10:48:29,13016030MM10A,2013-08-22,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-23,Risk of Violence,5,Medium,2013-08-23,2013-08-22,2013-08-23,0,0,952,0,0,0 +3774,stuart rubin,stuart,rubin,2013-05-31,Male,1954-10-24,61,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-31 03:36:36,2013-05-31 08:16:20,13010483MM10A,2013-05-31,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-31,Risk of Violence,1,Low,2013-05-31,2013-05-31,2013-05-31,0,0,1036,0,0,0 +3776,lisset llauro,lisset,llauro,2013-09-17,Female,1974-01-13,42,25 - 45,Caucasian,0,1,0,0,0,-1,2013-09-16 06:13:55,2013-09-17 01:54:04,13017639MM10A,2013-09-16,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-17,Risk of Violence,1,Low,2013-09-17,2013-09-16,2013-09-17,0,0,927,0,0,0 +3779,lenworth litherland,lenworth,litherland,2014-03-19,Male,1988-10-26,27,25 - 45,African-American,0,5,0,0,1,-1,2014-03-18 07:44:35,2014-03-20 12:10:34,14003802CF10A,2014-03-18,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-19,Risk of Violence,3,Low,2014-03-19,2014-03-18,2014-03-20,1,1,744,0,0,0 +3780,joshua doyle,joshua,doyle,2013-03-04,Male,1991-11-01,24,Less than 25,Caucasian,0,3,0,0,2,-18,2013-02-14 08:04:32,2013-03-01 08:19:07,13003251MM10A,2013-02-14,,18,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-04,Risk of Violence,5,Medium,2013-03-04,2013-02-14,2013-03-01,2,0,1124,0,0,0 +3781,raymond wallace,raymond,wallace,2014-02-07,Male,1982-11-27,33,25 - 45,African-American,0,5,0,0,14,-59,2013-12-10 01:15:13,2013-12-10 01:29:23,13017016CF10A,2013-12-09,,60,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-07,Risk of Violence,2,Low,2014-02-07,2013-12-10,2013-12-10,14,0,784,0,0,0 +3783,carlos montalvo,carlos,montalvo,2013-11-01,Male,1977-10-12,38,25 - 45,Caucasian,0,1,0,0,0,-7,2013-10-25 02:52:06,2013-11-01 10:33:01,13016097CF10A,2013-10-25,,7,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-01,Risk of Violence,1,Low,2013-11-01,2013-10-25,2013-11-01,0,0,882,0,0,0 +3785,christian hernandez,christian,hernandez,2013-01-23,Male,1994-08-05,21,Less than 25,Caucasian,0,3,1,1,1,-1,2013-01-22 11:18:53,2013-01-23 07:03:36,13001503MM10A,2013-01-22,,1,M,Unl/Disturb Education/Instui,1,16002824CF10A,(F3),0,2016-03-04,,2016-03-04,2016-03-04,,0,,,,,Risk of Recidivism,3,Low,2013-01-23,Risk of Violence,6,Medium,2013-01-23,2016-03-04,2016-03-04,1,0,1136,0,0,0 +3788,derec lamons,derec,lamons,2013-08-23,Male,1976-10-15,39,25 - 45,Caucasian,0,4,0,0,0,-1,2013-08-22 12:52:57,2013-08-22 07:49:32,13011815CF10A,2013-08-21,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,1,Low,2013-08-23,2013-08-22,2013-08-22,0,0,952,0,0,0 +3789,alexander smith,alexander,smith,2013-03-21,Male,1986-09-28,29,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-20 07:49:16,2013-03-21 11:28:05,13004036CF10A,2013-03-20,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,2,Low,2013-03-21,2013-10-10,2013-10-12,0,0,203,0,0,0 +3790,evan mcgrath,evan,mcgrath,2013-08-19,Male,1986-09-03,29,25 - 45,Caucasian,0,3,0,0,1,-2,2013-08-17 11:18:48,2013-08-18 02:02:42,13011560CF10A,2013-08-17,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-19,Risk of Violence,4,Low,2013-08-19,2013-08-17,2013-08-18,1,0,956,0,0,0 +3792,dale gross,dale,gross,2013-10-01,Male,1950-12-21,65,Greater than 45,Caucasian,0,4,0,0,6,-61,2013-08-01 09:47:30,2013-09-25 03:19:43,13010776CF10A,,2013-08-27,35,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2015-11-13,2015-12-06,6,0,773,0,0,0 +3797,robert reed,robert,reed,2013-05-19,Male,1972-02-17,44,25 - 45,African-American,1,6,0,0,7,-1,2013-05-18 04:20:47,2013-06-11 09:20:26,13007108CF10A,2013-05-18,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,1,16000964CF10A,(F3),1,2016-01-22,,2016-01-23,2016-01-23,,0,,,,,Risk of Recidivism,6,Medium,2013-05-19,Risk of Violence,4,Low,2013-05-19,2013-05-18,2013-06-11,7,23,978,1,0,0 +3799,mckenzie alcime,mckenzie,alcime,2013-01-07,Male,1988-08-23,27,25 - 45,African-American,0,2,0,0,0,-1,2013-01-06 10:11:15,2013-01-08 05:20:20,13000581TC10A,2013-01-06,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-07,Risk of Violence,2,Low,2013-01-07,2013-01-06,2013-01-08,0,1,1180,0,0,0 +3800,asim hamin,asim,hamin,2013-03-09,Male,1988-10-05,27,25 - 45,African-American,0,7,0,0,8,-1,2013-03-08 01:58:58,2013-04-26 07:01:57,13003448CF10A,2013-03-08,,1,F,Felony Battery (Dom Strang),1,13047821TC10A,(M1),0,2013-12-13,Opert With Susp DL 2nd Offens,2013-12-13,2013-12-18,,1,14003856CF10A,(F3),2014-03-19,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2013-03-09,Risk of Violence,8,High,2013-03-09,2013-12-13,2013-12-18,8,48,279,1,1,1 +3801,michael szerkins,michael,szerkins,2013-05-13,Male,1954-12-01,61,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-13 03:50:59,2013-05-15 09:15:24,13009243MM10A,2013-05-13,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-13,2013-05-15,0,2,1054,0,0,0 +3804,ryan wisdom,ryan,wisdom,2013-11-26,Male,1988-07-31,27,25 - 45,African-American,0,1,0,0,1,-1,2013-11-25 12:24:22,2013-11-26 08:18:25,13022177MM10A,2013-11-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,2,Low,2013-11-26,2013-11-25,2013-11-26,1,0,857,0,0,0 +3809,samuel giard,samuel,giard,2014-09-14,Male,1989-05-10,26,25 - 45,Caucasian,0,4,0,0,9,0,2014-09-14 01:12:37,2014-09-15 07:09:10,14062113NI40A,2014-09-14,,0,M,Violation Of Boater Safety Id,1,15010270TC40A,(M2),,2015-02-04,Driving License Suspended,,,,1,15010748MM10A,(M1),2015-08-03,Battery,Risk of Recidivism,4,Low,2014-09-14,Risk of Violence,3,Low,2014-09-14,2014-09-14,2014-09-15,9,1,143,1,1,1 +3814,eddie johnson,eddie,johnson,2013-04-03,Male,1990-10-11,25,25 - 45,African-American,0,4,0,0,2,-23,2013-03-11 01:09:41,2013-03-29 10:21:52,11000274CF10A,,2013-03-11,23,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-03,Risk of Violence,4,Low,2013-04-03,2014-05-13,2015-01-15,2,0,405,0,0,0 +3816,adeler filossaint,adeler,filossaint,2013-02-11,Male,1992-11-18,23,Less than 25,Other,0,10,0,0,5,-1,2013-02-10 06:01:35,2013-03-14 09:11:16,13002930MM10A,2013-02-10,,1,M,Resist/Obstruct W/O Violence,1,14000890MM10A,(M1),0,2014-01-17,Battery,2014-01-17,2014-03-01,,1,14000890MM10A,(M1),2014-01-17,Battery,Risk of Recidivism,10,High,2013-02-11,Risk of Violence,9,High,2013-02-11,2014-01-17,2014-03-01,5,31,340,1,1,1 +3818,ike black,ike,black,2013-02-07,Male,1992-08-21,23,Less than 25,African-American,0,4,0,0,1,0,2013-02-07 12:42:48,2013-02-10 04:25:55,13005772TC10A,2013-02-06,,1,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-07,Risk of Violence,6,Medium,2013-02-07,2013-02-07,2013-02-10,1,3,1149,0,0,0 +3820,david pennant,david,pennant,2013-03-24,Male,1986-03-19,30,25 - 45,Other,0,1,1,1,3,-1,2013-03-23 08:35:07,2013-03-24 07:23:39,13005730MM10A,2013-03-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-24,Risk of Violence,1,Low,2013-03-24,2013-03-23,2013-03-24,3,0,1104,0,0,0 +3821,tangela jones,tangela,jones,2013-05-03,Female,1970-09-05,45,Greater than 45,African-American,0,3,0,0,2,-1,2013-05-02 07:08:13,2013-05-14 06:04:00,13006300CF10A,2013-05-02,,1,F,False Motor Veh Insurance Card,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2014-09-24,2014-09-30,2,11,509,0,0,0 +3830,natasha daniels,natasha,daniels,2013-12-08,Female,1989-07-07,26,25 - 45,African-American,0,2,0,0,0,-1,2013-12-07 10:51:37,2013-12-08 03:56:34,13022666MM10A,2013-12-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-08,Risk of Violence,2,Low,2013-12-08,2013-12-07,2013-12-08,0,0,845,0,0,0 +3831,kameron koepke,kameron,koepke,2013-03-22,Male,1994-10-27,21,Less than 25,Caucasian,0,8,0,0,0,-1,2013-03-21 03:09:22,2013-03-28 07:17:08,13004094CF10A,,2013-03-21,1,F,arrest case no charge,1,14003224CF10A,(F3),118,2014-01-01,Felony Batt(Great Bodily Harm),2014-04-29,2014-07-24,,1,14003224CF10A,(F3),2014-01-01,Felony Batt(Great Bodily Harm),Risk of Recidivism,8,High,2013-03-22,Risk of Violence,7,Medium,2013-03-22,2013-03-21,2013-03-28,0,6,285,1,1,1 +3834,miguel ocasio,miguel,ocasio,2013-06-13,Male,1952-08-16,63,Greater than 45,African-American,0,6,0,0,1,,,,12009681CF10A,2012-07-01,,347,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-13,Risk of Violence,2,Low,2013-06-13,,,1,0,1023,0,0,0 +3835,mary watson,mary,watson,2013-09-20,Female,1953-07-28,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-19 11:42:41,2013-09-23 09:16:00,13042937TC10A,2013-09-19,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-09-19,2013-09-23,0,3,924,0,0,0 +3836,stephen parsons,stephen,parsons,2013-12-16,Male,1968-01-21,48,Greater than 45,Caucasian,0,3,0,0,0,-1,2013-12-15 03:12:29,2014-01-11 05:31:30,13017331CF10A,2013-12-15,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-16,Risk of Violence,2,Low,2013-12-16,2013-12-15,2014-01-11,0,26,837,0,0,0 +3838,clearence jenkins,clearence,jenkins,2013-03-20,Male,1963-03-17,53,Greater than 45,African-American,0,1,0,0,1,-1,2013-03-19 09:19:48,2013-03-20 07:46:30,12026002MM10A,2012-12-20,,90,M,DWLS Susp/Cancel Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-19,2013-03-20,1,0,1108,0,0,0 +3840,kenneth sewell,kenneth,sewell,2013-01-06,Male,1987-12-21,28,25 - 45,African-American,1,10,1,0,5,-1,2013-01-05 09:01:27,2013-05-22 06:02:36,13000201CF10A,2013-01-05,,1,F,Aggrav Stalking After Injunctn,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-06,Risk of Violence,10,High,2013-01-06,2013-01-05,2013-05-22,5,136,1181,0,0,0 +3841,michael digiulio,michael,digiulio,2013-11-03,Male,1960-01-29,56,Greater than 45,Caucasian,0,2,0,0,1,0,2013-11-03 04:56:58,2013-11-04 08:10:50,13015318CF10A,2013-11-03,,0,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-03,2013-11-04,1,1,880,0,0,0 +3842,emilio colon,emilio,colon,2013-12-13,Male,1981-03-18,35,25 - 45,Hispanic,0,1,0,0,2,-8,2013-12-05 08:08:18,2013-12-13 11:03:04,13016991CF10A,,2013-12-05,8,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-13,Risk of Violence,1,Low,2013-12-13,2013-12-05,2013-12-13,2,0,840,0,0,0 +3853,jerry grant,jerry,grant,2013-05-09,Male,1981-02-03,35,25 - 45,African-American,0,5,0,0,4,0,2013-05-09 02:12:42,2013-05-10 12:01:27,12058957TC10A,2012-12-01,,159,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-09,Risk of Violence,6,Medium,2013-05-09,2014-08-30,2014-09-09,4,1,478,0,0,0 +3855,edward schuster,edward,schuster,2013-03-27,Male,1955-06-29,60,Greater than 45,Caucasian,0,1,0,0,3,,,,13000497TC10A,2012-12-15,,102,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-27,Risk of Violence,1,Low,2013-03-27,,,3,0,1101,0,0,0 +3856,sarrah pierre,sarrah,pierre,2013-04-17,Female,1979-03-13,37,25 - 45,African-American,1,3,0,0,7,-1,2013-04-16 07:54:08,2013-04-18 05:56:28,13005446CF10A,2013-04-16,,1,F,Deliver Cocaine 1000FT Store,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2013-04-16,2013-04-18,7,1,1080,0,0,0 +3857,tanesha mcintyre,tanesha,mcintyre,2013-08-27,Female,1984-02-10,32,25 - 45,African-American,0,2,0,0,0,0,2013-08-27 05:00:17,2013-08-27 06:54:07,13012108CF10A,2013-08-26,,1,F,Uttering Forged Bills,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-27,2013-08-27,0,0,948,0,0,0 +3860,john vansteenkiste,john,vansteenkiste,2013-01-13,Male,1962-08-11,53,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-12 11:41:12,2013-01-13 12:56:59,13000762MM10A,2013-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0,0 +3862,brandon emmert,brandon,emmert,2014-01-10,Male,1983-10-11,32,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-09 09:03:15,2014-01-10 01:14:04,14000417MM10A,2014-01-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-10,Risk of Violence,1,Low,2014-01-10,2014-01-09,2014-01-10,0,0,812,0,0,0 +3863,jules canuet,jules,canuet,2013-01-02,Male,1989-10-17,26,25 - 45,Caucasian,0,2,0,0,0,-1,2013-01-01 05:21:55,2013-01-02 01:16:14,13000035MM10A,2013-01-01,,1,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-02,Risk of Violence,3,Low,2013-01-02,2013-01-01,2013-01-02,0,0,1185,0,0,0 +3864,randy munoz,randy,munoz,2014-03-31,Male,1955-03-29,61,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-30 03:50:52,2014-04-01 04:11:15,14012364MU10A,2014-03-30,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-30,2014-04-01,0,1,732,0,0,0 +3865,dave pascal,dave,pascal,2014-02-17,Male,1995-03-21,21,Less than 25,African-American,0,10,0,0,0,-1,2014-02-16 03:54:36,2014-02-17 01:12:04,14002687MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-02-17,Risk of Violence,7,Medium,2014-02-17,2014-02-16,2014-02-17,0,0,774,0,0,0 +3867,perry mcqueen,perry,mcqueen,2014-02-06,Male,1947-03-26,69,Greater than 45,African-American,0,5,0,0,22,-1,2014-02-05 05:31:46,2014-02-06 09:10:18,14002029MM10A,2014-02-05,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-06,Risk of Violence,4,Low,2014-02-06,2014-02-05,2014-02-06,22,0,785,0,0,0 +3869,jovelton joseph,jovelton,joseph,2013-09-23,Male,1989-10-19,26,25 - 45,African-American,0,4,0,0,0,0,2013-09-23 06:12:00,2013-09-23 08:25:00,13018163MM10A,2013-09-23,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,4,Low,2013-09-23,2013-09-23,2013-09-23,0,0,921,0,0,0 +3870,glenn shelton,glenn,shelton,2014-11-05,Male,1985-12-17,30,25 - 45,African-American,0,10,0,0,9,-1,2014-11-04 08:54:31,2015-05-19 11:36:21,14015489CF10A,2014-11-05,,0,F,Poss of Firearm by Convic Felo,1,15012961CF10A,(F3),,2015-10-07,Threat Public Servant,,,,1,15012961CF10A,(F3),2015-10-07,Threat Public Servant,Risk of Recidivism,10,High,2014-11-05,Risk of Violence,7,Medium,2014-11-05,2015-08-26,2015-08-29,9,195,294,0,1,1 +3872,christopher akel,christopher,akel,2014-02-25,Male,1994-05-24,21,Less than 25,Caucasian,0,4,0,0,1,-5,2014-02-20 10:39:19,2014-02-21 08:22:00,13007144CF10A,,2014-02-20,5,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-25,Risk of Violence,5,Medium,2014-02-25,2015-03-09,2015-03-16,1,0,377,0,0,0 +3879,joseph sessa,joseph,sessa,2014-01-08,Male,1975-01-18,41,25 - 45,Caucasian,0,2,0,0,0,0,2014-01-08 01:08:31,2014-01-08 09:45:35,14001011MU10A,2014-01-07,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,1,Low,2014-01-08,2014-01-08,2014-01-08,0,0,814,0,0,0 +3882,joseph kimball,joseph,kimball,2013-09-18,Male,1993-09-27,22,Less than 25,Caucasian,0,3,0,0,0,-2,2013-09-16 07:14:35,2013-09-17 07:20:32,13013075CF10A,2013-09-16,,2,F,Aggravated Battery On 65/Older,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-18,Risk of Violence,5,Medium,2013-09-18,2013-09-16,2013-09-17,0,0,926,0,0,0 +3884,todd livingston,todd,livingston,2013-09-06,Female,1961-05-18,54,Greater than 45,Caucasian,0,3,0,0,0,0,2013-09-06 02:07:01,2013-09-26 10:18:23,13012610CF10A,2013-09-05,,1,F,Agg Battery Grt/Bod/Harm,1,14048970TC20A,(M2),,2014-07-01,Driving License Suspended,,,,1,14017830MM10A,(M1),2014-12-18,Battery,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-06,2013-09-26,0,20,298,1,1,1 +3885,richard espinoza,richard,espinoza,2014-09-15,Male,1965-10-19,50,Greater than 45,Caucasian,0,1,0,0,2,-1,2014-09-14 06:27:22,2014-09-15 01:04:02,14013688MM10A,2014-09-14,,1,M,Battery,1,15012781MM10A,(M1),0,2015-12-10,Battery,2015-12-10,2015-12-11,,1,15012781MM10A,(M1),2015-12-10,Battery,Risk of Recidivism,1,Low,2014-09-15,Risk of Violence,1,Low,2014-09-15,2015-12-10,2015-12-11,2,0,451,1,1,1 +3888,linda jackson,linda,jackson,2013-01-25,Female,1965-08-30,50,Greater than 45,African-American,0,2,0,0,5,,,,08020765CF10A,,2012-07-27,182,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-25,Risk of Violence,1,Low,2013-01-25,,,5,0,1162,0,0,0 +3890,orville forrest,orville,forrest,2013-10-22,Male,1978-08-21,37,25 - 45,Other,2,3,0,0,11,-1,2013-10-21 09:53:38,2013-10-22 11:18:14,13014700CF10A,2013-10-21,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-10-22,11,0,892,0,0,0 +3898,robert smitley,robert,smitley,2013-06-04,Male,1963-03-09,53,Greater than 45,Caucasian,0,1,0,0,2,-32,2013-05-03 04:03:18,2013-05-20 10:27:12,13006363CF10A,2013-05-03,,32,F,Possess/Use Weapon 1 Deg Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-04,Risk of Violence,1,Low,2013-06-04,2014-06-24,2014-06-26,2,0,385,0,0,0 +3902,george esteves,george,esteves,2014-01-02,Male,1989-09-28,26,25 - 45,Caucasian,0,4,0,0,5,0,2014-01-02 05:35:15,2014-01-02 08:43:04,14000274MU10A,2014-01-02,,0,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-02,Risk of Violence,4,Low,2014-01-02,2014-01-30,2014-01-31,5,0,28,0,0,0 +3904,linda hadley,linda,hadley,2013-02-04,Female,1957-02-02,59,Greater than 45,African-American,0,2,0,0,0,-1,2013-02-03 08:59:23,2013-02-04 08:01:44,13002444MM10A,2013-02-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-03,2013-02-04,0,0,1152,0,0,0 +3907,nelson valle,nelson,valle,2013-02-25,Male,1949-04-13,67,Greater than 45,Hispanic,0,1,0,0,0,-3,2013-02-22 12:31:22,2013-02-23 04:33:50,13002677CF10A,2013-02-21,,4,F,Solicitation On Felony 3 Deg,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-02-22,2013-02-23,0,0,1131,0,0,0 +3911,rafael lopez,rafael,lopez,2013-09-23,Male,1971-03-27,45,Greater than 45,Hispanic,0,6,0,0,8,-1,2013-09-22 06:06:07,2013-09-23 08:07:27,13013341CF10A,2013-09-22,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-23,Risk of Violence,3,Low,2013-09-23,2015-03-26,2015-05-11,8,0,549,0,0,0 +3912,thomas rousseau,thomas,rousseau,2013-01-14,Male,1981-02-11,35,25 - 45,Caucasian,0,2,0,0,4,,,,12043635TC10A,2012-07-31,,167,M,Fail Obey Driv Lic Restrictions,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,4,Low,2013-01-14,,,4,0,1173,0,0,0 +3917,desmond elliott,desmond,elliott,2013-01-15,Male,1993-08-07,22,Less than 25,African-American,0,3,0,1,0,0,2013-01-15 12:31:43,2013-01-15 01:17:47,13000631CF10A,2013-01-14,,1,F,Carjacking w/o Deadly Weapon,1,15013928CF10A,(F3),,2015-10-25,Possession of Cannabis,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-15,Risk of Violence,6,Medium,2013-01-15,2015-01-19,2015-07-30,0,0,734,0,0,0 +3920,ovento saintval,ovento,saintval,2013-04-30,Male,1989-03-03,27,25 - 45,Other,0,5,0,0,0,-1,2013-04-29 03:55:56,2013-05-01 03:19:29,13008305MM10A,2013-04-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-30,Risk of Violence,3,Low,2013-04-30,2013-04-29,2013-05-01,0,1,1067,0,0,0 +3924,theona alleyne,theona,alleyne,2013-01-03,Female,1979-01-12,37,25 - 45,African-American,0,6,0,0,13,-1,2013-01-02 10:03:55,2013-01-04 01:05:33,13000091CF10A,2013-01-02,,1,F,Felony Driving While Lic Suspd,1,15007257CF10A,(F3),0,2015-06-03,Grand Theft in the 3rd Degree,2015-06-03,2015-06-04,,0,,,,,Risk of Recidivism,6,Medium,2013-01-03,Risk of Violence,3,Low,2013-01-03,2015-06-03,2015-06-04,13,1,881,1,0,0 +3930,roberto serrano,roberto,serrano,2013-02-23,Male,1970-06-14,45,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-02-22 12:35:53,2013-02-23 08:32:59,11008987MM10A,,2013-02-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-23,2,0,1133,0,0,0 +3934,christopher johnston,christopher,johnston,2013-01-27,Male,1964-03-02,52,Greater than 45,African-American,0,5,0,0,7,-1,2013-01-26 11:27:48,2013-07-27 05:42:20,13001272CF10A,2013-01-26,,1,F,Felony Petit Theft,1,15009989CF10A,(M1),1,2015-08-02,Trespass Other Struct/Conve,2015-08-03,2015-09-04,,0,,,,,Risk of Recidivism,5,Medium,2013-01-27,Risk of Violence,1,Low,2013-01-27,2014-03-09,2014-03-11,7,181,406,0,0,0 +3935,alexandria smith,alexandria,smith,2013-08-25,Female,1995-04-07,21,Less than 25,African-American,0,6,0,0,0,-1,2013-08-24 08:03:44,2013-08-25 08:34:40,13011944CF10A,2013-08-24,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-25,Risk of Violence,8,High,2013-08-25,2013-08-24,2013-08-25,0,0,950,0,0,0 +3938,marcus tanner,marcus,tanner,2013-01-25,Male,1982-11-05,33,25 - 45,Caucasian,0,6,0,0,3,-1,2013-01-24 03:35:01,2013-01-25 08:05:03,13000805CF10A,,2013-01-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-25,Risk of Violence,6,Medium,2013-01-25,2013-01-24,2013-01-25,3,0,1162,0,0,0 +3939,jamar terry,jamar,terry,2013-04-25,Male,1989-08-30,26,25 - 45,African-American,1,10,0,0,3,-1,2013-04-24 07:41:36,2013-04-28 04:07:36,13006853CF10A,2013-04-24,,1,F,Felony Battery w/Prior Convict,1,14000865MM30A,(M1),74,2014-05-16,Possess Cannabis/20 Grams Or Less,2014-07-29,2014-07-30,,1,14017051CF10A,(F3),2014-12-26,Child Abuse,Risk of Recidivism,10,High,2013-04-25,Risk of Violence,9,High,2013-04-25,2013-04-24,2013-04-28,3,3,386,1,1,1 +3941,daniel asdot,daniel,asdot,2014-01-06,Male,1978-12-28,37,25 - 45,Caucasian,0,3,0,0,0,-1,2014-01-05 06:54:49,2014-01-07 03:15:44,14000193MM10A,2014-01-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-05,2014-01-07,0,1,816,0,0,0 +3947,shoaib khan,shoaib,khan,2013-09-30,Male,1975-08-13,40,25 - 45,Other,0,1,0,0,1,0,2013-09-30 02:19:47,2013-10-01 02:06:16,13013707CF10A,2013-09-30,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-30,2013-10-01,1,1,914,0,0,0 +3948,courtney patterson,courtney,patterson,2013-03-21,Male,1995-03-22,21,Less than 25,African-American,1,5,0,0,1,-2,2013-03-19 11:59:13,2013-03-20 09:11:13,13003020CF10A,,2013-03-19,2,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-21,Risk of Violence,7,Medium,2013-03-21,2013-03-19,2013-03-20,1,0,1107,0,0,0 +3952,michael gardner,michael,gardner,2013-01-28,Male,1979-04-02,37,25 - 45,Caucasian,0,4,0,0,0,-1,2013-01-27 11:03:53,2013-01-28 08:38:10,13001925MM10A,2013-01-27,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-28,0,0,1159,0,0,0 +3957,eyxnor jaramillo,eyxnor,jaramillo,2014-01-07,Male,1991-11-18,24,Less than 25,Hispanic,0,2,0,0,1,-78,2013-10-21 04:29:01,2013-10-22 05:13:16,13014721CF10A,2013-10-21,,78,M,Contribute Delinquency Of A Minor,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-07,Risk of Violence,4,Low,2014-01-07,2013-10-21,2013-10-22,1,0,815,0,0,0 +3958,giuseppe montalbano,giuseppe,montalbano,2013-12-25,Male,1971-04-26,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-24 05:58:16,2013-12-25 08:38:42,13017737CF10A,2013-12-24,,1,F,Use of Anti-Shoplifting Device,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-25,Risk of Violence,1,Low,2013-12-25,2013-12-24,2013-12-25,0,0,828,0,0,0 +3960,christopher kearney,christopher,kearney,2013-10-24,Male,1985-06-19,30,25 - 45,African-American,0,2,0,0,0,-1,2013-10-23 09:15:21,2013-10-24 09:33:45,13014815CF10A,2013-10-23,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-24,Risk of Violence,2,Low,2013-10-24,2013-10-23,2013-10-24,0,0,890,0,0,0 +3961,victor quinones,victor,quinones,2013-10-28,Male,1975-09-30,40,25 - 45,Hispanic,0,1,0,0,0,0,2013-10-28 01:12:00,2013-10-28 07:15:34,13015011CF10A,2013-10-27,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-28,Risk of Violence,1,Low,2013-10-28,2013-10-28,2013-10-28,0,0,886,0,0,0 +3963,john trentman,john,trentman,2014-02-19,Male,1967-03-09,49,Greater than 45,Caucasian,0,1,0,0,1,-22,2014-01-28 12:27:03,2014-01-30 08:45:35,14001192CF10A,2014-01-27,,23,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-19,Risk of Violence,1,Low,2014-02-19,2014-01-28,2014-01-30,1,0,772,0,0,0 +3965,edmund witkowski,edmund,witkowski,2014-01-07,Male,1948-06-07,67,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-07 04:54:59,2014-01-07 08:19:22,14001015MU10A,2014-01-07,,0,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2014-01-07,2014-01-07,0,0,815,0,0,0 +3972,barnabas miller,barnabas,miller,2013-08-26,Male,1984-07-13,31,25 - 45,Caucasian,0,7,0,0,6,-1,2013-08-25 02:54:37,2013-09-04 08:36:01,13016260MM10A,2013-08-25,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-26,Risk of Violence,3,Low,2013-08-26,2015-11-03,2020-01-01,6,9,799,0,0,0 +3974,ben ali,ben,ali,2013-10-10,Male,1985-07-26,30,25 - 45,African-American,0,3,0,0,7,-1,2013-10-09 06:16:32,2013-10-10 05:30:06,13014164CF10A,2013-10-09,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-10,Risk of Violence,3,Low,2013-10-10,2014-05-02,2014-06-21,7,0,204,0,0,0 +3975,anthony madeira,anthony,madeira,2013-12-21,Male,1988-04-15,28,25 - 45,Caucasian,0,2,0,0,1,-1,2013-12-20 11:13:53,2013-12-21 08:55:44,13023517MM10A,2013-12-20,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-21,Risk of Violence,2,Low,2013-12-21,2013-12-20,2013-12-21,1,0,832,0,0,0 +3977,david wilson,david,wilson,2013-12-02,Male,1960-10-21,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-01 08:17:45,2013-12-02 01:55:29,13022371MM10A,2013-12-01,,1,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0,0 +3978,cristina warman,cristina,warman,2013-01-03,Female,1992-01-19,24,Less than 25,Caucasian,0,3,0,0,1,,,,12018707CF10A,2012-12-26,,8,F,False Ownership Info/Pawn Item,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-03,Risk of Violence,4,Low,2013-01-03,,,1,0,1184,0,0,0 +3979,orlis deltoro,orlis,deltoro,2013-02-11,Male,1973-11-10,42,25 - 45,Caucasian,0,3,0,0,0,-1,2013-02-10 01:50:22,2013-02-12 09:14:42,13002945MM10A,2013-02-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-12,0,1,1145,0,0,0 +3981,james coleman,james,coleman,2014-05-22,Male,1972-10-23,43,25 - 45,African-American,0,5,0,0,4,0,2014-05-22 04:41:27,2014-05-23 03:56:30,14008273MM10A,2014-05-22,,0,M,Viol Pretrial Release Dom Viol,1,14013569MM10A,(M1),,2014-08-12,Viol Pretrial Release Dom Viol,,,,1,14014899CF10A,(F3),2014-11-06,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2014-05-22,Risk of Violence,4,Low,2014-05-22,2014-05-22,2014-05-23,4,1,82,1,1,1 +3982,marleme louima,marleme,louima,2013-02-26,Male,1971-07-03,44,25 - 45,African-American,0,1,0,0,0,0,2013-02-26 03:50:14,2013-04-09 07:40:28,13002928CF10A,2013-02-26,,0,F,Aggrav Child Abuse-Causes Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-26,Risk of Violence,1,Low,2013-02-26,2013-02-26,2013-04-09,0,42,1130,0,0,0 +3984,david burgos,david,burgos,2013-01-24,Male,1990-06-29,25,25 - 45,Caucasian,0,7,0,0,0,256,2013-10-07 04:46:47,2013-10-08 03:10:56,13001711MM10A,2013-01-24,,0,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-24,Risk of Violence,5,Medium,2013-01-24,2013-10-07,2013-10-08,0,0,256,0,0,0 +3991,franco garcia,franco,garcia,2013-08-04,Male,1986-10-05,29,25 - 45,Hispanic,0,2,0,0,0,-1,2013-08-03 08:35:21,2013-08-05 04:16:09,13014644MM10A,2013-08-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-04,Risk of Violence,2,Low,2013-08-04,2013-08-03,2013-08-05,0,1,971,0,0,0 +3993,tony figueroa,tony,figueroa,2013-10-28,Male,1974-08-04,41,25 - 45,Hispanic,0,2,0,0,2,-132,2013-06-18 09:13:15,2013-10-25 06:02:07,13006123CF10A,,2013-06-18,132,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-28,Risk of Violence,2,Low,2013-10-28,2015-10-28,2015-11-11,2,0,730,0,0,0 +3994,efrain morales,efrain,morales,2014-01-06,Male,1985-03-07,31,25 - 45,Hispanic,0,5,0,0,0,-3,2014-01-03 08:06:18,2014-01-04 01:34:34,14000131MM10A,2014-01-03,,3,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-06,Risk of Violence,2,Low,2014-01-06,2014-01-03,2014-01-04,0,0,816,0,0,0 +3999,guiteau auguste,guiteau,auguste,2013-02-26,Male,1974-05-20,41,25 - 45,African-American,0,1,0,0,1,-1,2013-02-25 05:22:38,2013-02-27 05:48:55,13002855CF10A,2013-02-25,,1,F,Grand Theft Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-26,Risk of Violence,1,Low,2013-02-26,2013-02-25,2013-02-27,1,1,1130,0,0,0 +4002,jeffrey richardson,jeffrey,richardson,2013-03-09,Male,1986-12-29,29,25 - 45,African-American,0,5,0,0,0,-1,2013-03-08 03:17:45,2013-04-19 08:34:18,13004701MM10A,2013-03-08,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-09,Risk of Violence,3,Low,2013-03-09,2013-04-23,2013-05-03,0,41,45,0,0,0 +4003,ryan dundas,ryan,dundas,2013-05-19,Male,1989-05-02,26,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-18 11:23:09,2013-05-19 12:50:42,13009580MM10A,2013-05-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-19,Risk of Violence,3,Low,2013-05-19,2013-05-18,2013-05-19,0,0,1048,0,0,0 +4004,lyntina marshall,lyntina,marshall,2013-09-23,Female,1988-06-17,27,25 - 45,African-American,0,3,0,0,1,0,2013-09-23 12:15:53,2013-11-07 02:18:29,13006658CF10A,,2013-09-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-09-23,2013-11-07,1,45,921,0,0,0 +4005,joseph lapoint,joseph,lapoint,2013-09-18,Male,1981-02-10,35,25 - 45,Caucasian,0,2,0,0,4,-1,2013-09-17 07:57:04,2013-10-18 09:02:20,13017723MM10A,2013-09-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-18,Risk of Violence,3,Low,2013-09-18,2013-09-17,2013-10-18,4,30,926,0,0,0 +4006,richard turello,richard,turello,2013-02-16,Male,1961-11-18,54,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-02-15 11:29:24,2013-02-16 01:02:04,13002373CF10A,2013-02-15,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-16,Risk of Violence,1,Low,2013-02-16,2013-05-22,2013-06-13,1,0,95,0,0,0 +4010,jeremiah lewis,jeremiah,lewis,2014-02-02,Male,1995-06-12,20,Less than 25,African-American,0,6,0,0,0,-1,2014-02-01 09:21:02,2014-02-02 07:48:18,14001448CF10A,2014-02-01,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-02,Risk of Violence,6,Medium,2014-02-02,2014-02-01,2014-02-02,0,0,789,0,0,0 +4011,christopher dunn,christopher,dunn,2013-07-08,Male,1989-02-09,27,25 - 45,Caucasian,0,6,0,0,0,-3,2013-07-05 02:10:44,2013-07-06 07:33:50,13009939CF10A,,2013-07-05,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-08,Risk of Violence,5,Medium,2013-07-08,2013-09-04,2013-09-05,0,0,58,0,0,0 +4012,shaquille stephens,shaquille,stephens,2013-03-22,Male,1994-07-30,21,Less than 25,African-American,0,7,0,0,1,-1,2013-03-21 06:38:57,2013-03-23 04:48:56,13004110CF10A,2013-03-21,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-22,Risk of Violence,7,Medium,2013-03-22,2013-10-09,2013-11-15,1,1,201,0,0,0 +4016,christopher john,christopher,john,2014-02-12,Male,1988-05-24,27,25 - 45,Caucasian,0,7,0,0,4,-42,2014-01-01 11:58:12,2014-02-12 11:17:33,14000057CF10A,2014-01-01,,42,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-01-01,2014-02-12,4,0,779,0,0,0 +4018,jerome simmins,jerome,simmins,2013-04-02,Male,1961-11-22,54,Greater than 45,African-American,0,1,0,0,0,-1,2013-04-01 12:29:20,2013-04-02 12:43:55,13006256MM10A,2013-04-01,,1,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-02,Risk of Violence,1,Low,2013-04-02,2014-03-03,2014-03-12,0,0,335,0,0,0 +4021,derrick hepburn,derrick,hepburn,2013-06-06,Male,1977-03-19,39,25 - 45,African-American,0,1,0,0,1,-6,2013-05-31 10:13:39,2013-06-05 09:47:23,08001926CF10A,,2013-05-31,6,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-06,Risk of Violence,1,Low,2013-06-06,2013-05-31,2013-06-05,1,0,1030,0,0,0 +4022,kianna myers,kianna,myers,2014-02-27,Female,1993-10-10,22,Less than 25,Caucasian,0,7,1,1,2,,,,11018746CF10A,,2012-04-17,681,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-27,Risk of Violence,5,Medium,2014-02-27,,,2,0,764,0,0,0 +4023,hazel baptist-murillo,hazel,baptist-murillo,2013-09-17,Female,1983-02-24,33,25 - 45,Caucasian,0,1,0,0,0,-2,2013-09-15 11:15:31,2013-09-16 02:27:48,13017582MM10A,2013-09-15,,2,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-17,Risk of Violence,1,Low,2013-09-17,2013-09-15,2013-09-16,0,0,927,0,0,0 +4028,natasha brown,natasha,brown,2013-10-14,Female,1980-05-20,35,25 - 45,African-American,0,4,0,0,0,-1,2013-10-13 05:47:56,2013-10-14 05:04:52,13019419MM10A,2013-10-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-14,Risk of Violence,2,Low,2013-10-14,2013-10-13,2013-10-14,0,0,900,0,0,0 +4031,allan harris,allan,harris,2013-09-04,Male,1962-07-21,53,Greater than 45,African-American,0,1,0,0,0,-3,2013-09-01 09:05:41,2013-09-02 08:16:10,13016732MM10A,2013-09-01,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-01,2013-09-02,0,0,940,0,0,0 +4032,eric broadway,eric,broadway,2013-02-08,Male,1987-11-24,28,25 - 45,Caucasian,0,4,0,1,2,-1,2013-02-07 04:53:39,2013-02-20 07:44:08,13002766MM10A,2013-02-07,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-08,Risk of Violence,3,Low,2013-02-08,2015-01-14,2015-01-28,2,12,705,0,0,0 +4033,aaron gilliam,aaron,gilliam,2013-02-07,Male,1989-07-18,26,25 - 45,African-American,0,8,0,0,0,-1,2013-02-06 10:27:22,2013-02-07 08:07:33,13001859CF10A,2013-02-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-07,Risk of Violence,4,Low,2013-02-07,2013-02-06,2013-02-07,0,0,1149,0,0,0 +4035,ronal jean,ronal,jean,2013-04-04,Male,1985-05-15,30,25 - 45,African-American,0,3,0,0,1,1040,2016-02-08 05:28:51,2016-02-25 09:37:50,10009122CF10A,,2010-05-20,1050,F,arrest case no charge,1,16001733CF10A,(F3),0,2016-02-08,False Motor Veh Insurance Card,2016-02-08,2016-02-25,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,2,Low,2013-04-04,2016-02-08,2016-02-25,1,0,1040,1,0,0 +4036,brandon mcneil,brandon,mcneil,2013-03-26,Male,1984-11-30,31,25 - 45,African-American,0,5,1,0,3,0,2013-03-26 03:40:52,2013-03-27 02:26:05,13004378CF10A,2013-03-26,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,5,Medium,2013-03-26,2013-03-26,2013-03-27,3,1,1102,0,0,0 +4039,jorge rodriguez,jorge,rodriguez,2014-02-07,Male,1982-11-13,33,25 - 45,Hispanic,0,4,0,0,1,0,2014-02-07 03:22:03,2014-02-07 09:16:46,14005066MU10A,2014-02-07,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-07,Risk of Violence,2,Low,2014-02-07,2014-02-07,2014-02-07,1,0,784,0,0,0 +4041,cedrial brown,cedrial,brown,2014-01-11,Male,1987-11-26,28,25 - 45,African-American,0,7,0,0,1,0,2014-01-11 05:21:34,2014-01-11 08:39:59,14000469CF10A,2014-01-11,,0,F,Possession of Codeine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-11,Risk of Violence,7,Medium,2014-01-11,2014-01-11,2014-01-11,1,0,811,0,0,0 +4047,sade kendirck,sade,kendirck,2013-10-09,Female,1993-08-07,22,Less than 25,African-American,0,6,0,0,1,,,,12008794MM10A,2012-04-29,,528,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-09,Risk of Violence,7,Medium,2013-10-09,,,1,0,905,0,0,0 +4049,michael poveda,michael,poveda,2014-10-13,Male,1992-09-17,23,Less than 25,Caucasian,0,6,0,4,4,0,2014-10-13 12:49:23,2014-10-13 01:44:37,14013790CF10A,2014-10-12,,1,F,Poss Pyrrolidinovalerophenone,1,15014449TC30A,(M2),,2015-02-18,Operating W/O Valid License,,,,1,15006412CF10A,(F3),2015-05-17,Battery on Law Enforc Officer,Risk of Recidivism,6,Medium,2014-10-13,Risk of Violence,4,Low,2014-10-13,2015-03-13,2015-03-18,4,0,128,1,1,1 +4052,lonnie childress,lonnie,childress,2013-01-05,Male,1979-10-31,36,25 - 45,African-American,0,5,0,0,6,-1,2013-01-04 03:10:09,2013-03-29 10:22:04,13000167CF10A,2013-01-04,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-05,Risk of Violence,5,Medium,2013-01-05,2013-01-04,2013-03-29,6,83,1182,0,0,0 +4054,james smith,james,smith,2013-03-30,Male,1994-04-16,22,Less than 25,African-American,0,3,0,0,0,-1,2013-03-29 06:04:18,2013-03-30 04:10:47,13004554CF10A,2013-03-29,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,5,Medium,2013-03-30,2013-03-29,2013-03-30,0,0,1098,0,0,0 +4058,christina crianza,christina,crianza,2013-05-23,Male,1970-08-17,45,Greater than 45,Caucasian,0,1,0,0,1,,,,11028333MM10A,2011-12-29,,511,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-23,Risk of Violence,1,Low,2013-05-23,,,1,0,1044,0,0,0 +4060,max metayer,max,metayer,2013-04-29,Male,1978-08-22,37,25 - 45,African-American,0,2,0,0,3,-1,2013-04-28 10:44:17,2013-04-29 06:35:59,13008180MM10A,2013-04-28,,1,M,Battery,1,15044627TC30A,(M2),,2015-06-08,Fraud Obtain/ Use Disable Permit,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-28,2013-04-29,3,0,770,1,0,0 +4061,bess lamb,bess,lamb,2013-01-13,Female,1964-03-09,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-12 07:04:33,2013-01-13 01:52:34,13000720MM10A,2013-01-12,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0,0 +4062,guillermo zuniga,guillermo,zuniga,2013-08-16,Male,1989-06-24,26,25 - 45,Caucasian,0,2,0,0,0,0,2013-08-16 06:08:42,2013-08-18 05:08:01,13011530CF10A,2013-08-16,,0,F,Aggravated Battery,1,15051974TC20A,(M2),,2015-09-17,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-16,Risk of Violence,3,Low,2013-08-16,2013-08-16,2013-08-18,0,2,762,1,0,0 +4064,lanette garcia,lanette,garcia,2014-03-18,Female,1983-02-03,33,25 - 45,Caucasian,0,4,0,0,2,-1,2014-03-17 09:15:29,2014-03-31 10:02:05,14003828CF10A,,2014-03-18,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-18,Risk of Violence,2,Low,2014-03-18,2014-03-17,2014-03-31,2,13,745,0,0,0 +4068,angela margison,angela,margison,2013-08-12,Female,1961-02-04,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-11 06:49:45,2013-08-12 09:32:58,13015173MM10A,2013-08-11,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-12,Risk of Violence,1,Low,2013-08-12,2014-05-20,2014-05-21,0,0,281,0,0,0 +4070,andrew pardo,andrew,pardo,2014-02-02,Male,1979-01-17,37,25 - 45,African-American,0,1,0,0,2,0,2014-02-02 09:39:48,2014-02-03 08:48:52,13043243TC10A,2013-10-04,,121,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-02,Risk of Violence,1,Low,2014-02-02,2014-02-02,2014-02-03,2,1,789,0,0,0 +4072,phillip jaggon,phillip,jaggon,2013-10-04,Male,1974-08-17,41,25 - 45,African-American,0,1,0,0,0,0,2013-10-04 02:06:11,2014-03-30 04:15:17,13013943CF10A,2013-10-03,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,1,Low,2013-10-04,2013-10-04,2014-03-30,0,177,910,0,0,0 +4073,andrew deabenderfer,andrew,deabenderfer,2013-03-06,Male,1989-08-14,26,25 - 45,Caucasian,0,2,0,0,0,-1,2013-03-05 09:28:44,2013-03-06 07:12:03,13004487MM10A,2013-03-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-06,Risk of Violence,3,Low,2013-03-06,2016-02-23,2016-02-23,0,0,1084,0,0,0 +4075,eric page,eric,page,2013-04-08,Male,1975-04-15,41,25 - 45,African-American,0,5,0,0,13,-1,2013-04-07 11:54:14,2013-04-10 05:02:21,13005012CF10A,2013-04-07,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-08,Risk of Violence,5,Medium,2013-04-08,2013-11-09,2013-11-14,13,2,215,0,0,0 +4076,anderson carrington,anderson,carrington,2013-02-18,Male,1983-01-31,33,25 - 45,African-American,0,6,0,0,6,-1,2013-02-17 07:07:48,2013-02-18 02:48:50,13002445CF10A,2013-02-17,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-18,Risk of Violence,2,Low,2013-02-18,2013-02-17,2013-02-18,6,0,1138,0,0,0 +4080,alex diaz,alex,diaz,2013-10-30,Male,1992-05-11,23,Less than 25,African-American,0,5,0,0,0,-1,2013-10-29 06:06:57,2013-10-31 02:30:08,13015107CF10A,2013-10-29,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-30,Risk of Violence,6,Medium,2013-10-30,2013-10-29,2013-10-31,0,1,884,0,0,0 +4081,james liantonio,james,liantonio,2014-03-08,Male,1988-10-10,27,25 - 45,Caucasian,0,3,0,0,1,-1,2014-03-07 07:32:26,2014-03-08 09:08:08,13016455CF10A,,2014-03-07,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-08,Risk of Violence,2,Low,2014-03-08,2014-03-07,2014-03-08,1,0,755,0,0,0 +4082,alexander brock,alexander,brock,2014-03-26,Male,1991-12-09,24,Less than 25,Caucasian,0,5,0,0,0,0,2014-03-26 12:17:11,2014-05-02 11:11:37,14004295CF10A,2014-03-25,,1,F,Tamper With Victim,1,15004465MM10A,(M1),0,2015-04-19,Viol Injunct Domestic Violence,2015-04-19,2015-08-15,,1,15011678MM10A,(M1),2015-11-06,Battery,Risk of Recidivism,5,Medium,2014-03-26,Risk of Violence,5,Medium,2014-03-26,2014-06-18,2014-07-11,0,37,84,0,1,1 +4083,giovanni simpson,giovanni,simpson,2013-05-14,Male,1992-07-31,23,Less than 25,Other,0,8,0,0,2,,,,11012675MM10A,,2013-05-13,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-14,Risk of Violence,7,Medium,2013-05-14,,,2,0,1053,0,0,0 +4084,evans sainvil,evans,sainvil,2013-04-22,Male,1985-05-13,30,25 - 45,African-American,0,9,1,0,10,0,2013-04-22 12:52:54,2013-07-25 06:28:53,13005734CF10A,,2013-04-22,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-22,Risk of Violence,6,Medium,2013-04-22,2013-07-25,2014-01-30,10,283,1075,0,0,0 +4085,thomas wright,thomas,wright,2013-02-19,Male,1961-01-05,55,Greater than 45,Caucasian,0,3,0,0,1,0,2013-02-19 03:15:37,2013-02-20 01:09:10,13002525CF10A,2013-02-19,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,2,Low,2013-02-19,2013-07-01,2013-07-09,1,1,132,0,0,0 +4087,tara bostick,tara,bostick,2014-03-03,Female,1974-06-11,41,25 - 45,African-American,0,6,1,0,6,-65,2013-12-28 06:57:04,2013-12-29 02:16:19,13023904MM10A,2013-12-28,,65,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-03,Risk of Violence,2,Low,2014-03-03,2013-12-28,2013-12-29,6,0,760,0,0,0 +4088,matthew moore,matthew,moore,2013-02-14,Male,1981-03-01,35,25 - 45,African-American,0,3,0,0,0,0,2013-02-14 02:05:55,2013-02-15 01:58:22,13002333CF10A,2013-02-14,,0,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2013-02-14,2013-02-15,0,1,1142,0,0,0 +4099,travon burton,travon,burton,2014-02-19,Male,1995-08-02,20,Less than 25,African-American,0,4,0,0,1,-22,2014-01-28 12:36:10,2014-01-29 01:59:17,14001563MM10A,2014-01-28,,22,M,Prowling/Loitering,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-19,Risk of Violence,6,Medium,2014-02-19,2014-01-28,2014-01-29,1,0,772,0,0,0 +4101,dorron tate,dorron,tate,2013-09-25,Male,1985-04-04,31,25 - 45,African-American,0,10,2,0,8,-1,2013-09-24 10:11:44,2013-09-28 05:02:49,13018231MM10A,2013-09-24,,1,M,Battery,1,14025291TC10A,(M2),0,2014-07-10,Susp Drivers Lic 1st Offense,2014-07-10,2014-07-11,,1,15003600CF10A,(F3),2015-01-20,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2013-09-25,Risk of Violence,10,High,2013-09-25,2014-07-10,2014-07-11,8,3,288,1,1,1 +4102,dequontra perdue,dequontra,perdue,2013-05-24,Male,1993-07-31,22,Less than 25,African-American,0,9,1,0,2,,,,11013456CF10A,,2013-05-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-24,Risk of Violence,7,Medium,2013-05-24,,,2,0,1043,0,0,0 +4105,elliot alvarado,elliot,alvarado,2014-05-19,Male,1982-08-02,33,25 - 45,Caucasian,0,9,0,0,7,-1,2014-05-18 12:59:59,2014-05-19 08:39:12,14006919CF10A,2014-05-18,,1,F,Neglect Child / No Bodily Harm,1,14011974CF10A,(M1),0,2014-09-02,Viol Injunct Domestic Violence,2014-09-02,2014-10-03,,1,14011974CF10A,(F7),2014-09-02,Burglary Conveyance Assault/Bat,Risk of Recidivism,9,High,2014-05-19,Risk of Violence,9,High,2014-05-19,2014-09-02,2014-10-03,7,0,106,1,1,1 +4106,steven adams,steven,adams,2014-01-18,Male,1971-05-29,44,25 - 45,Caucasian,0,6,0,0,6,-1,2014-01-17 05:32:07,2014-10-14 06:07:45,12001442CF10A,,2014-01-17,1,F,arrest case no charge,1,15007695MM10A,(M1),,2015-07-19,Battery,,,,1,15007695MM10A,(M1),2015-07-19,Battery,Risk of Recidivism,6,Medium,2014-01-18,Risk of Violence,4,Low,2014-01-18,2014-10-14,2015-02-25,6,403,547,1,1,1 +4108,craig johnson,craig,johnson,2013-02-06,Male,1974-11-09,41,25 - 45,African-American,0,9,0,0,25,-1,2013-02-05 05:31:42,2013-08-10 05:00:46,13001804CF10A,2013-02-05,,1,F,Possession of Cocaine,1,14014277MM10A,(M1),0,2014-09-27,Battery,2014-09-27,2014-10-29,,1,14014277MM10A,(M1),2014-09-27,Battery,Risk of Recidivism,9,High,2013-02-06,Risk of Violence,9,High,2013-02-06,2013-11-25,2014-07-25,25,185,292,0,1,1 +4111,willie ross,willie,ross,2014-01-07,Male,1960-02-17,56,Greater than 45,African-American,0,8,0,0,9,0,2014-01-07 12:09:17,2014-01-08 04:07:24,05034850TC10A,,2006-10-12,2644,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-01-07,Risk of Violence,5,Medium,2014-01-07,2014-01-07,2014-01-08,9,1,815,0,0,0 +4112,damian levy,damian,levy,2013-09-05,Male,1995-04-18,21,Less than 25,African-American,0,3,0,0,1,-10,2013-08-26 06:22:19,2013-08-28 11:07:09,13012050CF10A,2013-08-26,,10,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-05,Risk of Violence,6,Medium,2013-09-05,2013-08-26,2013-08-28,1,0,939,0,0,0 +4117,inger kirkeleit,inger,kirkeleit,2013-02-21,Female,1968-01-21,48,Greater than 45,Caucasian,0,1,0,0,1,0,2013-02-21 12:21:36,2013-02-22 01:04:45,13003613MM10A,2013-02-20,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-21,2013-02-22,1,1,1135,0,0,0 +4120,sergio rastelli,sergio,rastelli,2013-10-22,Male,1976-06-08,39,25 - 45,Caucasian,0,1,0,0,2,-26,2013-09-26 06:13:26,2013-09-29 02:36:41,13013553CF10A,2013-09-26,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-09-26,2013-09-29,2,0,892,0,0,0 +4121,tiago dossantos,tiago,dossantos,2013-01-26,Male,1985-01-06,31,25 - 45,Hispanic,0,2,0,0,0,-1,2013-01-25 11:48:14,2013-01-27 04:00:15,13001223CF10A,2013-01-25,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-26,Risk of Violence,2,Low,2013-01-26,2013-01-25,2013-01-27,0,1,1161,0,0,0 +4122,angelica garcia,angelica,garcia,2013-04-09,Female,1991-03-28,25,25 - 45,Caucasian,0,6,0,0,0,-1,2013-04-08 11:29:18,2013-04-09 08:33:10,13005108CF10A,2013-04-08,,1,F,Abuse Without Great Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-09,Risk of Violence,4,Low,2013-04-09,2013-04-08,2013-04-09,0,0,1088,0,0,0 +4123,kenneth kiester,kenneth,kiester,2013-12-17,Male,1965-01-13,51,Greater than 45,Caucasian,0,1,0,0,1,-83,2013-09-25 07:10:01,2013-09-28 02:10:00,13012734CF10A,,2013-09-25,83,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-17,Risk of Violence,1,Low,2013-12-17,2013-09-25,2013-09-28,1,0,836,0,0,0 +4125,ebony mcphee,ebony,mcphee,2013-11-07,Female,1987-10-04,28,25 - 45,African-American,0,5,0,0,3,-16,2013-10-22 07:20:56,2013-11-07 12:54:50,13014757CF10A,2013-10-22,,16,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-07,Risk of Violence,4,Low,2013-11-07,2013-10-22,2013-11-07,3,0,876,0,0,0 +4126,michael simpson,michael,simpson,2013-12-14,Male,1985-08-11,30,25 - 45,African-American,0,2,0,0,0,-1,2013-12-13 10:27:58,2013-12-14 08:35:08,13017269CF10A,2013-12-13,,1,F,Possession of Oxycodone,1,15000490MM10A,(M1),,2014-12-17,Battery,,,,1,15000490MM10A,(M1),2014-12-17,Battery,Risk of Recidivism,2,Low,2013-12-14,Risk of Violence,2,Low,2013-12-14,2013-12-13,2013-12-14,0,0,368,1,1,1 +4127,raven harrison,raven,harrison,2014-07-07,Female,1996-06-25,19,Less than 25,African-American,0,8,0,0,0,-1,2014-07-06 03:06:43,2014-07-07 07:43:34,14010364MM10A,2014-07-06,,1,M,Exposes Culpable Negligence,1,15007005CF10A,(F3),0,2015-05-29,Child Abuse,2015-05-29,2015-05-31,,1,15007005CF10A,(F3),2015-05-29,Child Abuse,Risk of Recidivism,8,High,2014-07-07,Risk of Violence,8,High,2014-07-07,2015-05-29,2015-05-31,0,0,326,1,1,1 +4130,barney arnold,barney,arnold,2014-01-24,Male,1958-06-24,57,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-23 11:57:32,2014-01-28 06:37:34,14000999CF10A,2014-01-23,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-23,2014-01-28,0,4,798,0,0,0 +4136,charles rigg,charles,rigg,2014-02-20,Male,1990-01-13,26,25 - 45,African-American,0,5,0,2,0,-1,2014-02-19 05:20:26,2014-02-20 02:30:11,14002357CF10A,2014-02-19,,1,F,Traffick Amphetamine 28g><200g,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-20,Risk of Violence,2,Low,2014-02-20,2014-02-19,2014-02-20,0,0,771,0,0,0 +4140,tammi williams,tammi,williams,2013-04-25,Female,1975-01-06,41,25 - 45,Caucasian,0,1,0,0,1,,,,12015700MM10A,2011-05-26,,700,M,Compulsory Sch Attnd Violation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,,,1,0,1072,0,0,0 +4141,chad williams,chad,williams,2013-02-20,Male,1979-01-05,37,25 - 45,African-American,0,6,0,0,5,-29,2013-01-22 04:11:17,2013-01-22 05:54:26,13001015CF10A,2013-01-22,,29,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-20,Risk of Violence,4,Low,2013-02-20,2013-01-22,2013-01-22,5,0,1136,0,0,0 +4143,eric floyd,eric,floyd,2013-12-28,Male,1967-07-12,48,Greater than 45,African-American,0,1,0,0,0,0,2013-12-28 05:20:56,2013-12-30 09:31:15,13017902CF10A,2013-12-28,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,1,Low,2013-12-28,2013-12-28,2013-12-30,0,2,825,0,0,0 +4144,herman davis,herman,davis,2013-03-22,Male,1994-12-09,21,Less than 25,African-American,0,9,0,1,0,-1,2013-03-21 06:33:48,2013-03-23 07:11:35,13004111CF10A,2013-03-21,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-22,Risk of Violence,9,High,2013-03-22,2013-03-21,2013-03-23,0,1,1106,0,0,0 +4152,jorge aragon,jorge,aragon,2013-05-09,Male,1986-08-08,29,25 - 45,Hispanic,0,2,0,1,1,,,,12021485MM10A,2012-10-16,,205,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-09,Risk of Violence,2,Low,2013-05-09,,,1,0,1058,0,0,0 +4154,otis shelly,otis,shelly,2013-11-25,Male,1964-02-18,52,Greater than 45,African-American,0,1,0,0,1,-21,2013-11-04 12:37:14,2013-11-14 09:19:52,13002077MM10A,,2013-11-03,22,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-04,2013-11-14,1,0,858,0,0,0 +4158,mark girlie,mark,girlie,2014-02-04,Male,1996-10-09,19,Less than 25,African-American,1,10,0,1,1,-40,2013-12-26 11:14:21,2014-01-31 06:41:01,13017159CF10A,,2013-12-26,40,F,arrest case no charge,1,15006535CF10A,(F3),0,2015-05-20,Attempted Escape,2015-05-20,2015-06-21,,1,15013989CF10A,(F3),2015-10-27,Robbery Sudd Snatch No Weapon,Risk of Recidivism,10,High,2014-02-04,Risk of Violence,10,High,2014-02-04,2014-04-09,2014-05-07,1,0,64,0,1,1 +4161,van lewis,van,lewis,2013-03-04,Male,1961-05-27,54,Greater than 45,African-American,0,1,0,0,0,0,2013-03-04 03:35:08,2013-03-04 07:18:36,13004426MM10A,2013-03-04,,0,M,Battery,1,15010370CF10A,(M1),374,2014-12-26,Battery,2016-01-04,2016-01-06,,1,15010370CF10A,(F3),2014-12-26,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2016-01-04,2016-01-06,0,0,662,1,1,1 +4164,nicole magnus,nicole,magnus,2013-01-10,Female,1975-11-12,40,25 - 45,Caucasian,0,4,0,0,4,-1,2013-01-09 03:40:18,2013-01-11 06:28:12,13000361CF10A,2013-01-09,,1,F,Possession of Cocaine,1,15007423CF10A,(F3),0,2015-06-07,Possession of Cocaine,2015-06-07,2015-07-11,,0,,,,,Risk of Recidivism,4,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,2014-07-28,2014-09-23,4,1,564,0,0,0 +4165,eric mitchell,eric,mitchell,2013-04-13,Male,1993-11-23,22,Less than 25,African-American,0,7,0,0,0,0,2013-04-13 06:02:46,2013-04-24 09:03:40,13005339CF10A,2013-04-13,,0,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-13,Risk of Violence,6,Medium,2013-04-13,2013-04-13,2013-04-24,0,11,1084,0,0,0 +4168,christopher amity,christopher,amity,2013-08-03,Male,1966-02-11,50,Greater than 45,Caucasian,0,4,0,0,10,-1,2013-08-02 11:21:02,2013-08-03 07:59:48,13010919CF10A,2013-08-02,,1,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-03,Risk of Violence,2,Low,2013-08-03,2013-08-02,2013-08-03,10,0,972,0,0,0 +4169,joseph sisto,joseph,sisto,2013-01-07,Male,1981-03-26,35,25 - 45,Caucasian,0,3,0,0,2,0,2013-01-07 02:38:57,2013-01-07 09:00:03,13000389MM10A,2013-01-07,,0,M,Battery,1,15007671MM10A,(M2),0,2015-07-18,Disorderly Intoxication,2015-07-18,2015-07-18,,0,,,,,Risk of Recidivism,3,Low,2013-01-07,Risk of Violence,4,Low,2013-01-07,2015-07-18,2015-07-18,2,0,922,0,0,0 +4171,denzel lewis,denzel,lewis,2014-02-02,Male,1994-06-29,21,Less than 25,African-American,0,7,0,0,0,-1,2014-02-01 03:12:15,2014-02-03 08:44:42,14001445CF10A,2014-02-01,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-02,Risk of Violence,6,Medium,2014-02-02,2014-02-01,2014-02-03,0,1,789,0,0,0 +4178,ocon sanderns,ocon,sanderns,2013-01-10,Male,1988-04-30,27,25 - 45,Caucasian,0,3,0,0,0,-1,2013-01-09 04:23:59,2013-01-14 03:21:25,13000375CF10A,2013-01-09,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,4,Low,2013-01-10,2013-01-09,2013-01-14,0,4,1177,0,0,0 +4180,tiffany martinez,tiffany,martinez,2013-04-08,Female,1978-01-26,38,25 - 45,Hispanic,0,9,0,0,20,-1,2013-04-07 07:10:02,2013-04-09 05:16:12,13004994CF10A,2013-04-07,,1,F,Battery on Law Enforc Officer,1,13006243CF10A,(F3),0,2013-05-01,Possession of Cocaine,2013-05-01,2013-08-28,,1,14006707MM10A,(M1),2014-04-22,Battery,Risk of Recidivism,9,High,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-05-01,2013-08-28,20,1,23,1,1,1 +4182,jerod mcdade,jerod,mcdade,2013-09-04,Male,1984-03-27,32,25 - 45,Caucasian,0,5,0,0,0,0,2013-09-04 02:13:30,2013-09-11 04:08:12,13012496CF10A,2013-09-04,,0,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-04,Risk of Violence,2,Low,2013-09-04,2013-09-04,2013-09-11,0,7,940,0,0,0 +4183,brian daly,brian,daly,2013-08-22,Male,1956-05-30,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-21 04:14:52,2013-08-22 08:38:16,13011738CF10A,2013-08-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-22,Risk of Violence,1,Low,2013-08-22,2013-08-21,2013-08-22,0,0,953,0,0,0 +4186,sidney perkins,sidney,perkins,2013-04-30,Male,1956-11-21,59,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-30 02:41:16,2013-04-30 07:55:38,13006208CF10A,2013-04-30,,0,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-30,2013-04-30,0,0,1067,0,0,0 +4191,vitali kavaliou,vitali,kavaliou,2013-08-07,Female,1981-04-06,35,25 - 45,Caucasian,0,4,0,0,2,,,,13011002CF10A,2013-08-06,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-07,Risk of Violence,2,Low,2013-08-07,,,2,0,968,0,0,0 +4193,victor osejo,victor,osejo,2013-07-29,Male,1971-06-14,44,25 - 45,Hispanic,0,1,0,0,0,-2,2013-07-27 01:40:29,2013-07-28 02:47:19,13014254MM10A,2013-07-27,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-27,2013-07-28,0,0,977,0,0,0 +4194,andrew jones,andrew,jones,2013-03-04,Male,1975-10-14,40,25 - 45,African-American,0,8,0,0,7,129,2013-07-11 12:59:59,2013-08-16 04:40:46,12018428CF10A,2012-12-17,,77,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-04,Risk of Violence,9,High,2013-03-04,2013-07-11,2013-08-16,7,0,129,0,0,0 +4195,miazotiann white,miazotiann,white,2013-07-11,Female,1985-01-19,31,25 - 45,African-American,0,6,0,0,0,-2,2013-07-09 03:27:31,2013-07-11 01:36:23,13013042MM10A,2013-07-06,,5,M,Battery,1,14011470MM10A,(M1),0,2014-07-02,Resist/Obstruct W/O Violence,2014-07-02,2014-11-07,,1,14011470MM10A,(M1),2014-07-02,Battery,Risk of Recidivism,6,Medium,2013-07-11,Risk of Violence,4,Low,2013-07-11,2014-07-02,2014-11-07,0,0,356,1,1,1 +4196,keanne sibblies,keanne,sibblies,2014-01-23,Female,1983-11-17,32,25 - 45,African-American,0,3,0,0,0,-1,2014-01-22 12:13:03,2014-01-23 05:54:47,14000944CF10A,2014-01-22,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-22,2014-01-23,0,0,799,0,0,0 +4199,sean delegal,sean,delegal,2013-08-22,Male,1993-09-01,22,Less than 25,Caucasian,1,4,0,0,2,-1,2013-08-21 01:46:04,2013-08-22 09:03:13,13011660CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2014-08-11,2014-12-23,2,0,354,0,0,0 +4203,jason grillo,jason,grillo,2014-02-15,Male,1981-10-07,34,25 - 45,Caucasian,0,4,0,0,2,-1,2014-02-14 09:45:03,2014-02-17 01:11:31,11013444CF10A,,2014-02-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-15,Risk of Violence,2,Low,2014-02-15,2014-02-14,2014-02-17,2,2,776,0,0,0 +4204,james dameus,james,dameus,2013-12-25,Male,1985-06-09,30,25 - 45,African-American,0,3,1,0,7,-1,2013-12-24 06:07:41,2013-12-26 03:11:34,13017747CF10A,,2013-12-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-25,Risk of Violence,2,Low,2013-12-25,2013-12-24,2013-12-26,7,1,828,0,0,0 +4211,nesler dumera,nesler,dumera,2013-09-06,Male,1969-08-24,46,Greater than 45,Other,0,1,0,0,0,0,2013-09-06 01:01:48,2013-09-06 09:07:05,13012561CF10A,2013-09-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-06,2013-09-06,0,0,938,0,0,0 +4217,peter borkowicz,peter,borkowicz,2014-06-07,Male,1980-07-18,35,25 - 45,Caucasian,0,5,0,0,2,0,2014-06-07 03:26:40,2014-06-08 03:06:00,14007890CF10A,2014-06-07,,0,F,Battery On Fire Fighter,1,14012344MM10A,(M1),1,2014-08-15,Battery,2014-08-16,2014-08-17,,1,14012344MM10A,(M1),2014-08-15,Battery,Risk of Recidivism,5,Medium,2014-06-07,Risk of Violence,4,Low,2014-06-07,2014-06-07,2014-06-08,2,1,69,1,1,1 +4219,jamaal alleyne,jamaal,alleyne,2013-01-13,Male,1981-01-12,35,25 - 45,African-American,0,1,0,0,0,-1,2013-01-12 01:36:43,2013-01-13 01:22:39,13000566CF10A,2013-01-12,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0,0 +4223,shatara brown,shatara,brown,2013-02-12,Female,1985-11-10,30,25 - 45,African-American,0,9,0,0,9,-1,2013-02-11 03:29:53,2013-10-12 05:40:21,13002100CF10A,2013-02-11,,1,F,Felony Petit Theft,1,14007775MM10A,(M1),0,2014-05-12,Battery,2014-05-12,2014-06-03,,1,14007775MM10A,(M1),2014-05-12,Battery,Risk of Recidivism,9,High,2013-02-12,Risk of Violence,5,Medium,2013-02-12,2014-05-12,2014-06-03,9,242,454,1,1,1 +4228,thomas fairbrother,thomas,fairbrother,2013-11-28,Male,1985-01-30,31,25 - 45,Caucasian,0,8,1,1,4,0,2013-11-28 02:42:55,2013-11-30 02:26:32,13011876CF10A,,2013-11-28,0,F,arrest case no charge,1,14007947MM10A,(M1),0,2014-05-15,Viol Pretrial Release Dom Viol,2014-05-15,2014-06-12,,1,14016221CF10A,(F7),2014-12-05,Kidnapping / Domestic Violence,Risk of Recidivism,8,High,2013-11-28,Risk of Violence,6,Medium,2013-11-28,2014-05-15,2014-06-12,4,2,168,1,1,1 +4230,anthony gonzalez,anthony,gonzalez,2013-05-24,Male,1985-03-04,31,25 - 45,Hispanic,0,10,0,0,0,-1,2013-05-23 07:29:12,2013-08-12 07:13:27,13007366CF10A,2013-05-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-05-24,Risk of Violence,7,Medium,2013-05-24,2013-05-23,2013-08-12,0,80,1043,0,0,0 +4232,dwight gray,dwight,gray,2013-01-24,Male,1979-06-29,36,25 - 45,African-American,0,5,0,0,5,-1,2013-01-23 03:15:23,2013-01-24 06:43:56,13007417MM10A,2013-01-23,,1,M,Battery,1,13012040CF10A,(F2),0,2013-08-26,Aggravated Battery,2013-08-26,2013-09-26,,1,13012040CF10A,(F2),2013-08-26,Aggravated Battery,Risk of Recidivism,5,Medium,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-08-26,2013-09-26,5,0,214,1,1,1 +4233,andre hamilton,andre,hamilton,2013-01-28,Male,1976-09-22,39,25 - 45,African-American,0,1,0,0,2,-1,2013-01-27 03:53:11,2013-03-15 09:27:18,12059636TC10A,2012-11-11,,78,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-03-15,2,46,1159,0,0,0 +4239,derek modia,derek,modia,2013-08-28,Male,1981-02-06,35,25 - 45,Hispanic,0,3,0,1,0,-1,2013-08-27 08:38:36,2013-08-29 05:49:45,13012098CF10A,2013-08-27,,1,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-28,Risk of Violence,2,Low,2013-08-28,2013-08-27,2013-08-29,0,1,947,0,0,0 +4245,bari saunders,bari,saunders,2013-09-23,Male,1978-09-22,37,25 - 45,African-American,0,3,0,0,0,-1,2013-09-22 07:58:55,2013-09-25 02:31:32,13018048MM10A,2013-09-22,,1,M,Contribute Delinquency Of A Minor,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-22,2013-09-25,0,2,921,0,0,0 +4247,paul roberts,paul,roberts,2013-02-07,Male,1990-08-19,25,25 - 45,African-American,0,6,0,2,3,0,2013-02-07 03:50:07,2013-02-14 08:43:04,13005950TC10A,2010-11-19,,811,M,Oper Motorcycle W/O Valid DL,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-07,Risk of Violence,3,Low,2013-02-07,2014-09-10,2014-09-18,3,7,580,0,0,0 +4250,ariana culmer,ariana,culmer,2013-05-27,Female,1989-02-27,27,25 - 45,African-American,0,3,0,0,0,-1,2013-05-26 10:59:20,2013-05-27 06:40:51,13007523CF10A,2013-05-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-27,Risk of Violence,3,Low,2013-05-27,2013-05-26,2013-05-27,0,0,1040,0,0,0 +4252,raphael cabrices,raphael,cabrices,2013-08-08,Male,1968-04-27,47,Greater than 45,Caucasian,0,1,0,0,2,-25,2013-07-14 06:16:40,2013-07-15 09:09:22,13013312MM10A,2013-07-14,,25,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,2013-07-14,2013-07-15,2,0,967,0,0,0 +4254,kenneth fennell,kenneth,fennell,2013-12-04,Male,1969-08-15,46,Greater than 45,African-American,0,6,0,0,12,-1,2013-12-03 06:33:18,2013-12-06 05:45:30,13016714CF10A,2013-12-03,,1,M,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-04,Risk of Violence,4,Low,2013-12-04,2014-11-13,2015-01-25,12,2,344,0,0,0 +4255,maximo diaz,maximo,diaz,2013-04-19,Male,1989-03-14,27,25 - 45,Caucasian,0,5,0,0,0,-1,2013-04-18 10:25:11,2013-04-19 07:26:45,13005567CF10A,2013-04-18,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-19,Risk of Violence,6,Medium,2013-04-19,2013-04-18,2013-04-19,0,0,1078,0,0,0 +4256,don mixon,don,mixon,2013-11-18,Male,1981-10-18,34,25 - 45,African-American,0,9,0,0,0,-1,2013-11-17 02:12:32,2013-11-19 10:37:14,13015978CF10A,2013-11-17,,1,F,Felony Battery w/Prior Convict,1,14005373CF10A,(F3),0,2014-04-17,Felony Battery (Dom Strang),2014-04-17,2014-04-22,,1,14005373CF10A,(F3),2014-04-17,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2013-11-18,Risk of Violence,8,High,2013-11-18,2014-04-17,2014-04-22,0,1,150,1,1,1 +4257,jessie davis,jessie,davis,2013-03-23,Male,1985-05-06,30,25 - 45,African-American,0,7,0,0,4,163,2013-09-02 02:00:52,2013-09-03 07:55:00,12023063MM10A,2012-09-20,,184,M,Driving License Suspended,1,13017786MM10A,(M1),0,2013-09-18,Battery,2013-09-18,2013-09-23,,1,13017786MM10A,(M1),2013-09-18,Battery,Risk of Recidivism,7,Medium,2013-03-23,Risk of Violence,5,Medium,2013-03-23,2013-09-02,2013-09-03,4,0,163,0,1,1 +4258,thomas defelice,thomas,defelice,2014-02-05,Male,1991-02-04,25,25 - 45,Caucasian,0,2,0,0,0,-1,2014-02-04 05:25:58,2014-02-04 08:29:26,14004520MU10A,2014-02-04,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-05,Risk of Violence,3,Low,2014-02-05,2014-02-04,2014-02-04,0,0,786,0,0,0 +4260,tony lucien,tony,lucien,2013-05-04,Male,1990-03-23,26,25 - 45,African-American,0,5,1,0,5,-1,2013-05-03 04:28:53,2013-05-04 07:11:20,13014746TC20A,,2013-05-03,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-04,Risk of Violence,4,Low,2013-05-04,2013-05-03,2013-05-04,5,0,1063,0,0,0 +4265,larry mitchell,larry,mitchell,2014-02-25,Male,1955-07-08,60,Greater than 45,African-American,0,8,0,0,9,-1,2014-02-24 09:52:30,2014-02-25 09:47:44,14002613CF10A,2014-02-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-24,2014-02-25,9,0,766,0,0,0 +4267,alrick francis,alrick,francis,2013-05-15,Male,1967-02-24,49,Greater than 45,Other,0,1,0,0,0,-1,2013-05-14 01:25:33,2013-05-15 02:11:30,13009335MM10A,2013-05-14,,1,M,Battery,1,13012803MM10A,(M1),1,2013-07-04,Viol Injunction Protect Dom Vi,2013-07-05,2013-07-24,,1,13012803MM10A,(M1),2013-07-04,Battery,Risk of Recidivism,1,Low,2013-05-15,Risk of Violence,1,Low,2013-05-15,2013-07-05,2013-07-24,0,0,50,1,1,1 +4270,matthew george,matthew,george,2013-07-15,Male,1994-05-19,21,Less than 25,African-American,0,4,0,0,0,-3,2013-07-12 04:13:33,2013-07-13 01:37:10,13009824CF10A,2013-07-12,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-15,Risk of Violence,7,Medium,2013-07-15,2013-07-12,2013-07-13,0,0,991,0,0,0 +4275,joseph perez,joseph,perez,2013-05-26,Male,1962-11-12,53,Greater than 45,Caucasian,0,3,0,0,1,283,2014-03-05 12:46:04,2014-04-07 03:13:23,13007573CF10A,,2013-05-26,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2014-03-05,2014-04-07,1,0,283,0,0,0 +4276,larenz daniel,larenz,daniel,2014-08-08,Male,1994-07-07,21,Less than 25,African-American,0,4,0,0,0,16,2014-08-24 05:26:00,2014-09-24 04:08:57,14010775CF10A,2014-08-07,,1,F,Felony Battery (Dom Strang),1,14011545CF10A,(F2),0,2014-08-24,Sexual Battery / Vict 12 Yrs +,2014-08-24,2014-09-24,,1,14011545CF10A,(F2),2014-08-24,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,4,Low,2014-08-08,Risk of Violence,8,High,2014-08-08,2014-08-24,2014-09-24,0,0,16,1,1,1 +4280,edwin chaj,edwin,chaj,2013-12-18,Male,1986-09-12,29,25 - 45,Hispanic,0,9,0,0,1,-2,2013-12-16 09:49:44,2013-12-17 08:43:38,13023292MM10A,2013-12-16,,2,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-12-18,Risk of Violence,3,Low,2013-12-18,2013-12-16,2013-12-17,1,0,835,0,0,0 +4281,charles major,charles,major,2013-11-14,Male,1986-09-08,29,25 - 45,African-American,0,4,0,0,4,-26,2013-10-19 05:44:44,2013-10-20 05:26:25,13019815MM10A,2013-10-19,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-14,Risk of Violence,2,Low,2013-11-14,2013-10-19,2013-10-20,4,0,869,0,0,0 +4282,marquis rodriguez,marquis,rodriguez,2014-01-13,Male,1994-09-25,21,Less than 25,Hispanic,0,3,0,0,0,0,2014-01-13 01:33:12,2014-01-14 01:25:50,14000651MM10A,2014-01-13,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-13,Risk of Violence,6,Medium,2014-01-13,2014-01-13,2014-01-14,0,1,809,0,0,0 +4283,monet walkerfinch,monet,walkerfinch,2013-06-18,Female,1991-10-10,24,Less than 25,African-American,0,7,0,0,2,569,2015-01-08 11:47:35,2015-01-16 08:46:50,12009527MM10A,2012-05-08,,406,M,Battery,1,15000378CF10A,(M1),0,2015-01-08,Criminal Mischief>$200<$1000,2015-01-08,2015-01-16,,1,15000378CF10A,(F2),2015-01-08,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,7,Medium,2013-06-18,Risk of Violence,5,Medium,2013-06-18,2015-01-08,2015-01-16,2,0,569,1,1,1 +4288,roger nettles,roger,nettles,2013-08-06,Male,1964-12-17,51,Greater than 45,Caucasian,0,1,0,0,2,0,2013-08-06 04:40:40,2013-08-29 04:07:37,13011015CF10A,2013-08-05,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-06,Risk of Violence,1,Low,2013-08-06,2013-08-06,2013-08-29,2,23,969,0,0,0 +4290,james luxama,james,luxama,2013-01-10,Male,1986-12-19,29,25 - 45,African-American,0,1,0,0,1,0,2013-01-10 03:43:24,2013-01-10 07:10:02,13001781TC10A,2013-01-10,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-10,Risk of Violence,2,Low,2013-01-10,2013-01-10,2013-01-10,1,0,1177,0,0,0 +4292,samantha baubriant,samantha,baubriant,2013-04-26,Female,1991-12-10,24,Less than 25,Other,0,5,0,0,0,0,2013-04-26 05:00:40,2013-04-26 08:04:26,13006034CF10A,2013-04-25,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2013-04-26,2013-04-26,0,0,1071,0,0,0 +4296,juan moralessantos,juan,moralessantos,2013-02-21,Male,1978-11-24,37,25 - 45,Hispanic,0,2,0,0,5,-1,2013-02-20 05:14:02,2013-02-21 09:26:46,13002600CF10A,2013-02-20,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-20,2013-02-21,5,0,1135,0,0,0 +4298,graciela mino,graciela,mino,2013-10-14,Female,1962-02-28,54,Greater than 45,Hispanic,0,1,0,0,2,,,,11050306TC10A,2011-09-14,,761,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,,,2,0,900,0,0,0 +4299,lina walsh,lina,walsh,2013-04-09,Female,1964-11-17,51,Greater than 45,Caucasian,0,9,0,0,14,,,,12008113CF10A,2012-06-01,,312,F,Traffick Hydrocodone 4g><14g,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-09,Risk of Violence,6,Medium,2013-04-09,2001-02-14,2001-11-04,14,0,1088,0,0,0 +4300,roy munro,roy,munro,2014-03-12,Male,1962-06-11,53,Greater than 45,Caucasian,0,1,0,0,1,-21,2014-02-19 10:59:41,2014-03-12 11:18:36,14002370CF10A,2014-02-19,,21,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-12,Risk of Violence,1,Low,2014-03-12,2014-02-19,2014-03-12,1,0,751,0,0,0 +4301,cedrick white,cedrick,white,2014-02-19,Male,1984-05-20,31,25 - 45,African-American,0,3,0,0,2,,,,14001486CF10A,,2014-02-05,14,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-19,Risk of Violence,3,Low,2014-02-19,,,2,0,772,0,0,0 +4303,cleve george,cleve,george,2013-02-08,Male,1990-11-27,25,25 - 45,African-American,0,8,0,0,5,-1,2013-02-07 03:54:36,2013-03-14 07:25:50,13001902CF10A,2013-02-07,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-08,Risk of Violence,6,Medium,2013-02-08,2013-02-07,2013-03-14,5,34,1148,0,0,0 +4305,andre viruez,andre,viruez,2013-08-09,Male,1977-11-12,38,25 - 45,Hispanic,0,1,0,0,0,0,2013-08-09 01:10:56,2013-08-10 03:49:00,13015053MM10A,2013-08-08,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-09,Risk of Violence,1,Low,2013-08-09,2013-08-09,2013-08-10,0,1,966,0,0,0 +4306,benjamin joseph,benjamin,joseph,2013-01-20,Male,1993-11-28,22,Less than 25,African-American,0,10,1,1,3,0,2013-01-20 03:49:43,2013-12-05 06:38:32,13000931CF10A,,2013-01-20,0,F,arrest case no charge,1,13014396CF10A,(F3),,2013-10-08,Battery Upon Detainee,,,,1,13014396CF10A,(F3),2013-10-08,Battery Upon Detainee,Risk of Recidivism,10,High,2013-01-20,Risk of Violence,10,High,2013-01-20,2013-01-20,2013-12-05,3,0,261,1,1,1 +4307,devonte fowler,devonte,fowler,2013-01-30,Male,1994-06-09,21,Less than 25,African-American,0,8,0,0,1,-1,2013-01-29 01:41:22,2013-02-11 12:05:37,13001435CF10A,2013-01-29,,1,F,Poss/Sell/Del Cocaine 1000FT Sch,1,15005882MM10A,(M1),,2015-05-29,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-01-30,Risk of Violence,8,High,2013-01-30,2014-04-22,2014-05-08,1,12,447,0,0,0 +4314,deon daniels,deon,daniels,2014-07-16,Male,1987-09-21,28,25 - 45,African-American,0,7,1,0,14,29,2014-08-14 01:01:25,2014-09-03 09:23:36,13023200MM10A,2013-12-15,,213,M,Resist/Obstruct W/O Violence,1,14011104CF10A,(F3),0,2014-08-14,Grand Theft (Motor Vehicle),2014-08-14,2014-09-03,,1,15009100CF10A,(F3),2015-07-15,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2014-07-16,Risk of Violence,8,High,2014-07-16,2014-08-14,2014-09-03,14,0,29,1,1,1 +4317,juno valdemas,juno,valdemas,2013-03-20,Male,1990-05-20,25,25 - 45,African-American,0,6,0,0,1,-1,2013-03-19 01:12:22,2013-03-20 01:14:42,13005424MM10A,2013-03-19,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,5,Medium,2013-03-20,2013-03-19,2013-03-20,1,0,1108,0,0,0 +4319,donald carlo,donald,carlo,2013-12-27,Male,1959-12-15,56,Greater than 45,Caucasian,0,4,0,0,2,-4,2013-12-23 09:10:10,2013-12-26 08:40:49,13017686CF10A,2013-12-23,,4,F,Felony/Driving Under Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-27,Risk of Violence,1,Low,2013-12-27,2013-12-23,2013-12-26,2,0,826,0,0,0 +4320,cemar knight,cemar,knight,2013-05-03,Male,1982-01-07,34,25 - 45,African-American,0,9,0,0,22,-29,2013-04-04 05:00:38,2013-04-06 04:51:59,13005984CF10A,2013-04-04,,29,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-03,Risk of Violence,4,Low,2013-05-03,2013-12-03,2013-12-11,22,0,214,0,0,0 +4322,marco logatti,marco,logatti,2013-12-05,Male,1980-11-15,35,25 - 45,Hispanic,0,7,0,0,7,0,2013-12-05 02:13:10,2013-12-06 04:02:34,13016996CF10A,,2013-12-05,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-05,Risk of Violence,4,Low,2013-12-05,2013-12-20,2014-03-12,7,1,15,0,0,0 +4324,colby lecain,colby,lecain,2013-06-24,Male,1993-10-06,22,Less than 25,Caucasian,0,5,0,2,0,-3,2013-06-21 12:31:31,2013-06-21 07:33:13,13008728CF10A,2013-06-20,,4,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-24,Risk of Violence,6,Medium,2013-06-24,2013-12-10,2013-12-19,0,0,169,0,0,0 +4328,lynval chambers,lynval,chambers,2013-04-24,Male,1993-01-30,23,Less than 25,African-American,0,8,0,0,0,-1,2013-04-23 06:47:37,2013-04-25 08:21:03,13005808CF10A,2013-04-23,,1,F,Grand Theft in the 3rd Degree,1,14005363CF10A,(F1),23,2014-01-09,Robbery W/Firearm,2014-02-01,2014-02-06,,1,14005363CF10A,(F1),2014-01-09,Robbery W/Firearm,Risk of Recidivism,8,High,2013-04-24,Risk of Violence,8,High,2013-04-24,2013-05-15,2013-06-22,0,1,21,0,1,1 +4329,aubray mathis,aubray,mathis,2013-09-27,Male,1985-08-22,30,25 - 45,African-American,0,10,0,0,4,-1,2013-09-26 07:37:18,2013-11-19 09:00:53,13018331MM10A,2013-09-26,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-27,Risk of Violence,6,Medium,2013-09-27,2013-09-26,2013-11-19,4,53,917,0,0,0 +4330,damon nicholas,damon,nicholas,2014-03-27,Male,1973-10-18,42,25 - 45,African-American,0,6,0,0,1,0,2014-03-27 02:19:13,2014-04-02 05:22:52,14005328MM10A,2014-03-27,,0,M,Viol Pretrial Release Dom Viol,1,14011319CF10A,(F3),0,2014-07-17,Felony Battery w/Prior Convict,2014-07-17,2014-12-19,,1,14011319CF10A,(F3),2014-07-17,Felony Battery w/Prior Convict,Risk of Recidivism,6,Medium,2014-03-27,Risk of Violence,3,Low,2014-03-27,2014-04-17,2014-04-25,1,6,21,0,1,1 +4331,john grant,john,grant,2013-01-07,Male,1966-03-04,50,Greater than 45,African-American,0,8,0,2,24,0,2013-01-07 02:25:09,2013-02-08 11:34:13,13001089TC10A,2013-01-06,,1,M,Susp Drivers Lic 1st Offense,1,13012698MM10A,(M2),0,2013-07-03,Criminal Mischief Damage <$200,2013-07-03,2013-09-04,,1,15007894CF10A,(F3),2015-06-18,Robbery Sudd Snatch No Weapon,Risk of Recidivism,8,High,2013-01-07,Risk of Violence,8,High,2013-01-07,2013-04-04,2013-05-22,24,32,87,0,1,1 +4335,oceal brown,oceal,brown,2013-10-30,Male,1978-11-14,37,25 - 45,African-American,0,9,0,0,0,-1,2013-10-29 08:50:13,2013-10-30 08:06:26,13015079CF10A,2013-10-29,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-30,Risk of Violence,3,Low,2013-10-30,2016-02-02,2016-02-10,0,0,825,0,0,0 +4336,marvis washington,marvis,washington,2013-11-04,Male,1992-08-28,23,Less than 25,African-American,0,4,0,0,1,0,2013-11-04 05:37:01,2013-11-05 03:43:13,13015359CF10A,2013-11-04,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-04,Risk of Violence,5,Medium,2013-11-04,2013-11-04,2013-11-05,1,1,879,0,0,0 +4337,anthony phillips,anthony,phillips,2013-01-27,Male,1974-07-13,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-26 05:52:41,2013-01-27 08:13:40,13001282CF10A,2013-01-26,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-27,Risk of Violence,1,Low,2013-01-27,2013-01-26,2013-01-27,0,0,1160,0,0,0 +4338,louis smith,louis,smith,2013-09-26,Male,1965-11-24,50,Greater than 45,African-American,1,2,0,0,5,29,2013-10-25 12:48:33,2013-11-26 02:04:24,13005180CF10A,2013-04-10,,169,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2013-10-25,2013-11-26,5,0,29,0,0,0 +4339,david otero,david,otero,2014-12-26,Male,1974-05-14,41,25 - 45,Hispanic,0,10,0,0,19,-1,2014-12-25 06:50:18,2015-02-06 05:56:01,14017039CF10A,2014-12-25,,1,F,Felony Petit Theft,1,15001917CF10A,(F2),0,2015-02-10,Throw Deadly Missile Into Veh,2015-02-10,2015-03-16,,1,15001917CF10A,(F2),2015-02-10,Throw Deadly Missile Into Veh,Risk of Recidivism,10,High,2014-12-26,Risk of Violence,9,High,2014-12-26,2015-02-10,2015-03-16,19,42,46,1,1,1 +4341,christopher sinclair,christopher,sinclair,2013-12-14,Male,1976-02-07,40,25 - 45,Other,0,7,0,0,8,-1,2013-12-13 03:49:59,2014-01-22 08:33:50,13017253CF10A,2013-12-13,,1,F,Possession of Cocaine,1,14004730CF10A,(F3),0,2014-04-05,Battery on a Person Over 65,2014-04-05,2015-03-10,,1,14004730CF10A,(F3),2014-04-05,Battery on a Person Over 65,Risk of Recidivism,7,Medium,2013-12-14,Risk of Violence,4,Low,2013-12-14,2014-04-05,2015-03-10,8,39,112,1,1,1 +4356,sebastian bocanegra,sebastian,bocanegra,2013-10-02,Male,1992-05-06,23,Less than 25,Caucasian,0,2,0,0,0,-1,2013-10-01 06:26:22,2013-10-02 07:41:14,13013795CF10A,2013-10-01,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,4,Low,2013-10-02,2013-10-01,2013-10-02,0,0,912,0,0,0 +4358,rajdaye maharajh,rajdaye,maharajh,2013-10-22,Female,1951-05-12,64,Greater than 45,Other,0,1,0,0,0,-1,2013-10-21 11:27:18,2013-10-22 01:59:46,13014719CF10A,2013-10-21,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-10-22,0,0,892,0,0,0 +4360,charles delisi,charles,delisi,2013-08-12,Male,1964-05-10,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-11 08:16:15,2013-08-12 07:21:52,13015168MM10A,2013-08-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-12,Risk of Violence,1,Low,2013-08-12,2013-08-11,2013-08-12,0,0,963,0,0,0 +4365,robert roser,robert,roser,2013-09-25,Male,1972-08-01,43,25 - 45,Caucasian,0,5,0,0,1,,,,12018010CF10A,2012-12-10,,289,F,Del Morphine at/near Park,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-25,Risk of Violence,3,Low,2013-09-25,,,1,0,919,0,0,0 +4367,shanta jackson,shanta,jackson,2013-05-06,Female,1980-05-23,35,25 - 45,African-American,0,6,0,0,3,0,2013-05-06 03:16:04,2013-05-07 02:38:52,13008750MM10A,2013-05-06,,0,M,Battery,1,13017067CF10A,(F2),26,2013-11-14,Aggrav Battery w/Deadly Weapon,2013-12-10,2013-12-11,,1,13017067CF10A,(F2),2013-11-14,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-05-06,Risk of Violence,3,Low,2013-05-06,2013-05-06,2013-05-07,3,1,192,1,1,1 +4370,kenneth goodman,kenneth,goodman,2013-02-09,Male,1986-12-08,29,25 - 45,African-American,0,9,0,0,2,0,2013-02-09 12:03:25,2013-07-19 12:35:09,13001981CF10A,2013-02-08,,1,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2014-02-19,2014-04-11,2,160,375,0,0,0 +4371,michael higgins,michael,higgins,2014-01-06,Male,1959-01-27,57,Greater than 45,Caucasian,0,1,0,0,0,-3,2014-01-03 04:30:49,2014-01-05 01:29:28,14000123MM10A,2014-01-03,,3,M,Prowling/Loitering,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-03,2014-01-05,0,0,816,0,0,0 +4375,jose ortiz,jose,ortiz,2014-01-06,Male,1978-11-17,37,25 - 45,Caucasian,0,5,0,0,1,-203,2013-06-17 12:51:06,2013-06-17 08:23:52,13011612MO10A,2013-06-16,,204,M,Disorderly Conduct,1,15008312CF10A,(M2),1,2015-06-26,Renting For Prostitution,2015-06-27,2015-07-29,,1,14016795MO10A,(MO3),2014-10-27,DOC/Engage In Fighting,Risk of Recidivism,5,Medium,2014-01-06,Risk of Violence,2,Low,2014-01-06,2015-08-18,2015-08-19,1,0,536,1,1,1 +4376,rosetta francis,rosetta,francis,2014-02-16,Female,1992-12-21,23,Less than 25,Other,0,5,0,0,0,-1,2014-02-15 11:55:36,2014-02-16 09:24:05,14002663MM10A,2014-02-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-16,Risk of Violence,5,Medium,2014-02-16,2014-02-15,2014-02-16,0,0,775,0,0,0 +4381,lee wechsler,lee,wechsler,2013-07-22,Male,1960-04-26,55,Greater than 45,Caucasian,0,1,0,0,1,-3,2013-07-19 10:31:24,2013-07-20 01:24:07,13013759MM10A,2013-07-19,,3,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-22,Risk of Violence,1,Low,2013-07-22,2013-07-19,2013-07-20,1,0,984,0,0,0 +4387,leroy anglin,leroy,anglin,2013-11-13,Male,1987-10-09,28,25 - 45,African-American,0,9,1,0,6,-1,2013-11-12 07:13:43,2013-11-15 04:09:00,13015719CF10A,2013-11-12,,1,F,Grand Theft in the 3rd Degree,1,15016610CF10A,(F2),,2015-11-11,Aggravated Battery / Pregnant,,,,1,15016610CF10A,(F2),2015-11-11,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-11-13,Risk of Violence,8,High,2013-11-13,2015-03-12,2015-03-13,6,2,484,0,1,1 +4389,michael hatcher,michael,hatcher,2014-02-08,Male,1991-01-07,25,25 - 45,Caucasian,0,6,0,0,1,-1,2014-02-07 09:17:42,2014-02-08 10:18:18,14001754CF10A,2014-02-07,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-08,Risk of Violence,3,Low,2014-02-08,2015-07-24,2015-08-03,1,0,531,0,0,0 +4390,john deprima,john,deprima,2014-02-01,Male,1949-05-11,66,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-31 03:48:54,2014-02-01 10:09:47,14001409CF10A,2014-01-31,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-01,Risk of Violence,1,Low,2014-02-01,2014-01-31,2014-02-01,0,0,790,0,0,0 +4391,leonard daley,leonard,daley,2013-04-14,Male,1987-09-15,28,25 - 45,African-American,0,2,0,0,3,0,2013-04-14 03:12:34,2013-04-14 07:22:40,13005373CF10A,2013-04-14,,0,M,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-14,Risk of Violence,2,Low,2013-04-14,2013-04-14,2013-04-14,3,0,1083,0,0,0 +4394,trevon madison,trevon,madison,2013-10-07,Male,1991-09-02,24,Less than 25,African-American,0,5,0,0,0,-2,2013-10-05 12:06:59,2013-10-06 08:54:21,13018920MM10A,2013-10-04,,3,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-10-05,2013-10-06,0,0,907,0,0,0 +4400,richard kirk,richard,kirk,2014-03-27,Male,1943-01-11,73,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-26 01:18:07,2014-03-27 01:44:58,14005228MM10A,2014-03-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-27,Risk of Violence,1,Low,2014-03-27,2014-03-26,2014-03-27,0,0,736,0,0,0 +4401,solomon mccarter,solomon,mccarter,2013-11-24,Male,1971-09-24,44,25 - 45,African-American,0,2,0,0,0,-1,2013-11-23 03:13:53,2013-11-25 09:02:22,13016444CF10A,,2013-11-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-24,Risk of Violence,1,Low,2013-11-24,2013-11-23,2013-11-25,0,1,859,0,0,0 +4402,carlos perezzambrano,carlos,perezzambrano,2013-11-14,Male,1973-10-30,42,25 - 45,Hispanic,0,1,0,0,0,0,2013-11-14 05:48:10,2013-11-18 07:36:03,13021457MM10A,2013-11-14,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-14,2013-11-18,0,4,869,0,0,0 +4403,jason howell,jason,howell,2014-03-20,Male,1976-02-01,40,25 - 45,African-American,0,7,0,0,6,-1,2014-03-19 04:33:21,2014-03-21 02:41:52,14003853CF10A,2014-03-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-20,Risk of Violence,4,Low,2014-03-20,2014-03-19,2014-03-21,6,1,743,0,0,0 +4406,nathaniel echevarria,nathaniel,echevarria,2013-04-24,Male,1995-01-12,21,Less than 25,Hispanic,0,10,0,0,0,0,2013-04-24 03:00:42,2013-05-01 04:39:21,13005900CF10A,2013-04-23,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-24,Risk of Violence,8,High,2013-04-24,2013-07-17,2013-07-24,0,7,84,0,0,0 +4407,frederick bedell,frederick,bedell,2013-01-03,Male,1959-11-28,56,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-01-01 12:26:08,2013-01-02 07:32:07,13000025MM10A,2012-12-31,,3,M,Battery,1,14006576MM10A,(M1),0,2014-04-19,Resist/Obstruct W/O Violence,2014-04-19,2014-04-20,,1,14014539CF10A,(F2),2014-10-29,Aggravated Battery / Pregnant,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2014-04-19,2014-04-20,0,0,471,1,1,1 +4408,jermaine buchanan,jermaine,buchanan,2013-01-03,Male,1973-11-15,42,25 - 45,African-American,0,1,0,0,3,-1,2013-01-02 09:17:36,2013-01-03 11:24:54,13000072CF10A,2013-01-02,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-02,2013-01-03,3,0,1184,0,0,0 +4411,david garrison,david,garrison,2013-01-15,Male,1966-01-13,50,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-01-14 11:58:48,2013-01-16 08:10:14,10018309CF10A,,2013-01-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-15,Risk of Violence,1,Low,2013-01-15,2013-01-14,2013-01-16,1,1,1172,0,0,0 +4414,jesus guzmansilva,jesus,guzmansilva,2014-02-16,Male,1981-12-09,34,25 - 45,Caucasian,0,2,0,0,0,-1,2014-02-15 08:15:10,2014-02-16 09:38:43,14002644MM10A,2014-02-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-16,Risk of Violence,2,Low,2014-02-16,2014-02-15,2014-02-16,0,0,775,0,0,0 +4415,rodney monroe,rodney,monroe,2014-03-21,Male,1968-12-13,47,Greater than 45,African-American,0,1,0,0,1,-1,2014-03-20 02:12:50,2014-03-22 03:16:24,14004872MM10A,2014-03-20,,1,M,Battery,1,15008617CF10A,(F3),0,2015-07-05,Grand Theft in the 3rd Degree,2015-07-05,2015-07-06,,1,15008617CF10A,(F3),2015-07-05,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2014-03-21,Risk of Violence,1,Low,2014-03-21,2015-07-05,2015-07-06,1,1,471,1,1,1 +4416,charles laurie,charles,laurie,2013-12-19,Male,1957-09-11,58,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-12-18 01:38:23,2013-12-20 08:48:46,13017461CF10A,2013-12-18,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-19,Risk of Violence,1,Low,2013-12-19,2013-12-18,2013-12-20,3,1,834,0,0,0 +4418,erik wantuck,erik,wantuck,2013-07-05,Male,1967-08-30,48,Greater than 45,Caucasian,0,4,0,0,3,-7,2013-06-28 02:46:46,2013-06-28 08:24:49,13009140CF10A,2013-06-28,,7,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-05,Risk of Violence,1,Low,2013-07-05,2015-05-06,2015-05-07,3,0,670,0,0,0 +4419,christina ramage,christina,ramage,2014-01-27,Female,1996-01-08,20,Less than 25,Caucasian,0,3,0,0,0,-2,2014-01-25 11:11:50,2014-01-26 02:05:49,14001095CF10A,2014-01-25,,2,F,Grand Theft in the 3rd Degree,1,16002393MM10A,(M2),0,2016-03-13,Criminal Mischief Damage <$200,2016-03-13,2016-03-16,,1,16002393MM10A,(M1),2016-03-13,Battery,Risk of Recidivism,3,Low,2014-01-27,Risk of Violence,6,Medium,2014-01-27,2016-03-13,2016-03-16,0,0,776,1,0,0 +4422,antwon jenkins,antwon,jenkins,2013-11-17,Male,1987-01-13,29,25 - 45,African-American,0,9,0,0,0,-1,2013-11-16 08:17:51,2013-11-17 08:20:01,13015943CF10A,2013-11-16,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-17,Risk of Violence,6,Medium,2013-11-17,2013-11-16,2013-11-17,0,0,866,0,0,0 +4425,jameka ferguson,jameka,ferguson,2013-09-16,Male,1977-11-16,38,25 - 45,Other,0,1,0,0,1,-1,2013-09-15 09:33:33,2013-09-16 07:05:06,14007854MM10A,2013-09-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,2,Low,2013-09-16,2013-09-15,2013-09-16,1,0,928,0,0,0 +4426,christin butler,christin,butler,2014-03-11,Female,1972-05-01,43,25 - 45,Caucasian,0,2,0,0,0,0,2014-03-11 04:14:22,2014-03-11 08:42:40,14003418CF10A,2014-03-11,,0,M,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2016-02-23,2016-02-26,0,0,714,0,0,0 +4428,samuels semper,samuels,semper,2013-04-23,Male,1980-11-06,35,25 - 45,African-American,0,9,0,0,1,,,,08021895MM10A,,2009-04-13,1471,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-23,Risk of Violence,6,Medium,2013-04-23,,,1,0,1074,0,0,0 +4430,mason lopez,mason,lopez,2013-03-17,Male,1990-10-24,25,25 - 45,Hispanic,0,3,0,0,2,-1,2013-03-16 01:12:33,2013-03-17 02:03:07,13005188MM10A,2013-03-16,,1,M,Battery,1,13085435TC40A,(M2),92,2013-12-09,Driving License Suspended,2014-03-11,2014-03-14,,1,15008838CF10A,(F2),2015-07-09,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,3,Low,2013-03-17,Risk of Violence,5,Medium,2013-03-17,2015-07-09,2015-07-27,2,0,267,1,1,1 +4432,bradley gaskins,bradley,gaskins,2013-03-31,Male,1994-02-01,22,Less than 25,Caucasian,0,7,0,3,0,-1,2013-03-30 08:02:38,2013-03-31 02:54:22,09014657TI20A,2009-02-13,,1507,M,Possess Tobacco Product Under 18,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-31,Risk of Violence,10,High,2013-03-31,2013-03-30,2013-03-31,0,0,1097,0,0,0 +4433,stefanie miranda,stefanie,miranda,2014-04-01,Female,1984-01-05,32,25 - 45,Hispanic,0,2,0,0,1,-11,2014-03-21 11:15:52,2014-04-01 10:27:40,14004011CF10A,2014-03-21,,11,M,Burglary Conveyance Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-04-01,Risk of Violence,2,Low,2014-04-01,2014-03-21,2014-04-01,1,0,731,0,0,0 +4434,eric redmond,eric,redmond,2013-03-25,Male,1989-06-19,26,25 - 45,Caucasian,0,7,0,0,9,-1,2013-03-24 02:25:59,2013-03-25 08:04:10,13005756MM10A,2013-03-24,,1,M,Possess Cannabis/20 Grams Or Less,1,14007041MO10A,(M1),1,2014-04-28,Trespass After Warning,2014-04-29,2014-04-29,,1,15001565MM10A,(M2),2015-02-06,Assault,Risk of Recidivism,7,Medium,2013-03-25,Risk of Violence,5,Medium,2013-03-25,2013-08-18,2013-08-20,9,0,146,0,1,1 +4435,vivienne campbell,vivienne,campbell,2013-02-27,Female,1967-11-20,48,Greater than 45,Other,0,1,0,0,0,-1,2013-02-26 04:52:54,2013-02-27 09:49:05,13002930CF10A,2013-02-26,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-27,Risk of Violence,1,Low,2013-02-27,2013-02-26,2013-02-27,0,0,1129,0,0,0 +4437,george massie,george,massie,2013-06-25,Male,1944-10-09,71,Greater than 45,Caucasian,0,1,0,0,1,-28,2013-05-28 10:34:00,2013-06-01 09:54:23,13010258MM10A,2013-05-28,,28,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-25,Risk of Violence,1,Low,2013-06-25,2013-05-28,2013-06-01,1,0,1011,0,0,0 +4438,ursula fontaine,ursula,fontaine,2013-01-24,Female,1955-04-05,61,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-23 01:23:24,2013-01-23 02:14:29,13001511MM10A,2013-01-23,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-24,Risk of Violence,1,Low,2013-01-24,2013-01-23,2013-01-23,0,0,1163,0,0,0 +4439,gabriela ulpiano,gabriela,ulpiano,2013-10-14,Female,1993-06-10,22,Less than 25,Caucasian,0,5,0,0,2,-22,2013-09-22 07:56:23,2013-09-23 01:51:40,13018053MM10A,2013-09-22,,22,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-14,Risk of Violence,5,Medium,2013-10-14,2014-07-21,2014-07-24,2,0,280,0,0,0 +4440,darrell roberts,darrell,roberts,2014-12-23,Male,1986-05-01,29,25 - 45,African-American,0,2,0,0,1,82,2015-03-15 12:28:10,2015-04-22 01:45:21,10027144MM10A,2010-12-18,,1466,M,DUI Blood Alcohol Above 0.20,1,15003080MM10A,(M1),1,2015-03-14,Battery,2015-03-15,2015-04-22,,1,15003080MM10A,(M1),2015-03-14,Battery,Risk of Recidivism,2,Low,2014-12-23,Risk of Violence,2,Low,2014-12-23,2015-03-15,2015-04-22,1,0,81,1,1,1 +4441,carolyn weaver,carolyn,weaver,2013-04-02,Female,1962-01-27,54,Greater than 45,Caucasian,0,2,0,0,1,-22,2013-03-11 04:01:35,2013-03-11 07:47:17,13004883MM10A,2013-03-11,,22,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-02,Risk of Violence,1,Low,2013-04-02,2013-03-11,2013-03-11,1,0,1095,0,0,0 +4442,joseph criscione,joseph,criscione,2013-11-23,Male,1991-11-02,24,Less than 25,Caucasian,0,9,2,0,6,-1,2013-11-22 08:34:45,2013-11-23 10:16:31,13016231CF10A,,2013-11-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-23,Risk of Violence,7,Medium,2013-11-23,2013-11-22,2013-11-23,6,0,860,0,0,0 +4443,allyson glass,allyson,glass,2013-01-14,Female,1987-12-31,28,25 - 45,Caucasian,0,5,0,0,0,-1,2013-01-13 04:58:10,2013-01-14 06:50:27,13000595CF10A,2013-01-13,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-14,Risk of Violence,3,Low,2013-01-14,2013-01-13,2013-01-14,0,0,1173,0,0,0 +4444,alexandria dalton,alexandria,dalton,2013-05-22,Female,1990-12-15,25,25 - 45,Caucasian,0,10,0,0,2,0,2013-05-22 02:20:05,2013-11-19 05:29:00,13007287CF10A,2013-05-21,,1,F,Escape,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-05-22,Risk of Violence,8,High,2013-05-22,2013-05-22,2013-11-19,2,181,1045,0,0,0 +4445,veronica miller,veronica,miller,2013-07-18,Female,1993-11-23,22,Less than 25,African-American,0,5,0,0,1,-28,2013-06-20 04:36:36,2013-07-03 10:00:15,13008731CF10A,2013-06-20,,28,F,Murder in the First Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-18,Risk of Violence,5,Medium,2013-07-18,2014-03-09,2014-08-27,1,0,234,0,0,0 +4448,joseph clagett,joseph,clagett,2014-01-20,Male,1980-04-30,35,25 - 45,African-American,0,4,0,0,0,-1,2014-01-19 07:31:22,2014-01-20 08:17:30,14000838CF10A,2014-01-19,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-20,Risk of Violence,3,Low,2014-01-20,2014-01-19,2014-01-20,0,0,802,0,0,0 +4450,ameer abdulmalik,ameer,abdulmalik,2014-01-27,Male,1994-10-01,21,Less than 25,African-American,0,3,0,0,0,-1,2014-01-26 03:55:36,2014-01-27 08:34:04,14001154CF10A,2014-01-26,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-27,Risk of Violence,5,Medium,2014-01-27,2014-01-26,2014-01-27,0,0,795,0,0,0 +4451,george brent,george,brent,2013-01-12,Male,1967-03-09,49,Greater than 45,Caucasian,0,1,0,0,1,0,2013-01-12 04:12:16,2013-01-16 08:38:51,13000576CF10A,2013-01-12,,0,M,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-12,Risk of Violence,1,Low,2013-01-12,2013-03-21,2013-03-22,1,4,68,0,0,0 +4459,timothy towns,timothy,towns,2013-08-12,Male,1994-06-12,21,Less than 25,African-American,0,4,0,0,1,-40,2013-07-03 10:42:54,2013-07-16 08:11:11,12012009CF10A,,2013-07-03,40,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-12,Risk of Violence,6,Medium,2013-08-12,2014-01-10,2014-03-15,1,0,151,0,0,0 +4461,renato schossler,renato,schossler,2013-04-04,Male,1951-04-24,64,Greater than 45,Caucasian,0,1,0,0,8,-1,2013-04-03 10:47:23,2013-04-04 07:38:50,13004781CF10A,2013-04-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,2013-04-03,2013-04-04,8,0,1093,0,0,0 +4462,sherise wright,sherise,wright,2013-10-01,Female,1990-01-19,26,25 - 45,African-American,0,3,0,0,1,35,2013-11-05 06:24:56,2013-12-19 10:27:50,13002846CF10A,,2013-03-18,197,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-01,Risk of Violence,2,Low,2013-10-01,2013-11-05,2013-12-19,1,0,35,0,0,0 +4464,gervan mcglashan,gervan,mcglashan,2013-05-18,Male,1978-10-02,37,25 - 45,African-American,0,2,0,0,3,-1,2013-05-17 05:42:47,2013-05-18 07:44:03,13009556MM10A,2013-05-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-18,Risk of Violence,2,Low,2013-05-18,2013-12-18,2013-12-20,3,0,214,0,0,0 +4466,andrea davidson,andrea,davidson,2013-09-30,Female,1981-10-09,34,25 - 45,African-American,0,7,0,0,1,-1,2013-09-29 11:30:37,2014-01-23 12:04:18,13013656CF10A,2013-09-29,,1,F,Neglect Child / No Bodily Harm,1,15015747CF10A,(F3),,2015-12-09,Battery on Law Enforc Officer,,,,1,15015747CF10A,(F3),2015-12-09,Battery on Law Enforc Officer,Risk of Recidivism,7,Medium,2013-09-30,Risk of Violence,3,Low,2013-09-30,2013-09-29,2014-01-23,1,115,800,1,1,1 +4468,adolfo laurent,adolfo,laurent,2013-06-19,Male,1956-02-22,60,Greater than 45,Hispanic,0,1,0,0,4,-15,2013-06-04 01:12:55,2013-06-10 06:24:13,13007935CF10A,2013-06-03,,16,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-19,Risk of Violence,1,Low,2013-06-19,2013-11-16,2013-11-23,4,0,150,0,0,0 +4469,david swan,david,swan,2013-05-27,Male,1957-09-28,58,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-26 10:29:50,2013-05-27 06:15:59,13010092MM10A,2013-05-26,,1,M,Viol Injunction Protect Dom Vi,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-26,2013-05-27,0,0,1040,0,0,0 +4471,edgar cisneros,edgar,cisneros,2013-11-15,Male,1988-08-24,27,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-14 05:01:31,2013-11-15 02:59:54,13015860CF10A,2013-11-14,,1,F,Use Computer for Child Exploit,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-15,Risk of Violence,2,Low,2013-11-15,2014-07-01,2014-08-27,0,0,228,0,0,0 +4475,sindy gourdet,sindy,gourdet,2013-05-13,Male,1990-10-25,25,25 - 45,African-American,0,2,0,2,0,0,2013-05-13 01:14:04,2013-05-13 01:57:13,13009149MM10A,2013-05-12,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-13,Risk of Violence,3,Low,2013-05-13,2013-11-12,2013-11-14,0,0,183,0,0,0 +4478,jason martin,jason,martin,2013-04-23,Male,1959-07-05,56,Greater than 45,African-American,0,8,0,0,24,22,2013-05-15 01:57:35,2013-05-21 11:04:32,13000995CF10A,2013-01-21,,92,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-23,Risk of Violence,4,Low,2013-04-23,2013-05-15,2013-05-21,24,0,22,0,0,0 +4479,vladimir fontaine,vladimir,fontaine,2013-08-25,Male,1982-12-12,33,25 - 45,African-American,0,1,0,0,2,-1,2013-08-24 06:47:25,2013-08-25 08:17:55,13016205MM10A,2013-08-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-25,Risk of Violence,2,Low,2013-08-25,2013-08-24,2013-08-25,2,0,950,0,0,0 +4481,richard francis,richard,francis,2013-07-02,Male,1968-12-10,47,Greater than 45,African-American,0,7,0,0,15,-60,2013-05-03 03:11:46,2013-07-02 10:44:18,13006347CF10A,2013-05-03,,60,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-07-02,Risk of Violence,2,Low,2013-07-02,2013-05-03,2013-07-02,15,0,1004,0,0,0 +4483,terrance irvin,terrance,irvin,2013-10-12,Male,1984-04-10,32,25 - 45,African-American,0,7,0,0,6,-1,2013-10-11 05:38:14,2013-10-15 07:11:17,13014279CF10A,2013-10-11,,1,F,Grand Theft in the 3rd Degree,1,13017581CF10A,(F3),1,2013-12-20,Felony Battery w/Prior Convict,2013-12-21,2014-02-21,,1,13017581CF10A,(F3),2013-12-20,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-10-12,Risk of Violence,4,Low,2013-10-12,2013-10-11,2013-10-15,6,3,69,1,1,1 +4491,rovens daphnis,rovens,daphnis,2013-01-04,Male,1990-07-05,25,25 - 45,African-American,0,4,0,0,1,-1,2013-01-03 09:57:32,2013-01-04 01:36:49,13000138CF10A,2013-01-03,,1,F,Possession of Hydrocodone,1,13006172CF10A,(M1),1,2013-04-29,Resist/Obstruct W/O Violence,2013-04-30,2013-12-03,,1,13006172CF10A,(M1),2013-04-29,Battery,Risk of Recidivism,4,Low,2013-01-04,Risk of Violence,5,Medium,2013-01-04,2013-03-11,2013-03-15,1,0,66,0,1,1 +4492,linsey calliste,linsey,calliste,2014-02-02,Female,1995-11-17,20,Less than 25,African-American,0,4,0,0,0,-1,2014-02-01 10:09:26,2014-02-02 08:52:57,14001455CF10A,2014-02-01,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-02,Risk of Violence,6,Medium,2014-02-02,2014-02-01,2014-02-02,0,0,789,0,0,0 +4493,kenneth everett,kenneth,everett,2014-02-19,Male,1983-06-01,32,25 - 45,African-American,0,9,0,4,9,-1,2014-02-18 06:56:00,2014-02-19 02:08:42,14002314CF10A,2014-02-18,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-19,Risk of Violence,7,Medium,2014-02-19,2014-03-31,2014-04-01,9,0,40,0,0,0 +4494,auta goudreau,auta,goudreau,2013-01-06,Female,1966-06-22,49,Greater than 45,African-American,0,1,0,0,0,0,2013-01-06 03:17:29,2013-01-07 08:39:20,13000247CF10A,2013-01-06,,0,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,2,Low,2013-01-06,2013-01-06,2013-01-07,0,1,1181,0,0,0 +4495,kadijah julien,kadijah,julien,2013-09-03,Male,1993-10-28,22,Less than 25,African-American,0,3,0,0,1,-4,2013-08-30 03:45:48,2013-08-31 06:14:35,13012305CF10A,2013-08-30,,4,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-03,Risk of Violence,5,Medium,2013-09-03,2013-08-30,2013-08-31,1,0,941,0,0,0 +4496,brandon brown-cruz,brandon,brown-cruz,2013-11-09,Male,1991-11-13,24,Less than 25,African-American,0,3,0,0,0,-1,2013-11-08 12:56:47,2013-11-09 02:08:10,13015602CF10A,2013-11-08,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-09,Risk of Violence,4,Low,2013-11-09,2013-11-08,2013-11-09,0,0,874,0,0,0 +4500,henry carter,henry,carter,2013-05-18,Male,1986-10-31,29,25 - 45,African-American,0,8,0,0,5,,,,10017179CF10A,2010-09-23,,968,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-18,Risk of Violence,5,Medium,2013-05-18,2009-03-17,2010-01-29,5,0,1049,0,0,0 +4502,thomas hansler,thomas,hansler,2013-04-04,Male,1966-08-30,49,Greater than 45,Caucasian,0,1,0,0,1,,,,11020517MM10A,2011-09-13,,569,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,,,1,0,1093,0,0,0 +4505,zackary salamone,zackary,salamone,2013-03-05,Male,1993-05-05,22,Less than 25,Caucasian,0,6,0,0,0,-1,2013-03-04 08:02:42,2013-03-05 09:56:34,13003258CF10A,2013-03-04,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-05,Risk of Violence,5,Medium,2013-03-05,2013-10-10,2013-10-22,0,0,219,0,0,0 +4506,garcia hilaire,garcia,hilaire,2014-02-18,Male,1981-12-29,34,25 - 45,African-American,3,10,0,0,8,,,,11014207CF10A,,2011-08-24,909,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-02-18,Risk of Violence,7,Medium,2014-02-18,2006-03-23,2010-02-21,8,0,773,0,0,0 +4508,laver dent,laver,dent,2013-04-29,Female,1989-10-03,26,25 - 45,African-American,0,5,0,0,3,-1,2013-04-28 09:29:51,2013-04-29 08:39:30,13006099CF10A,2013-04-28,,1,F,Aggravated Assault W/dead Weap,1,15015089CF10A,(F3),,2015-11-21,Grand Theft in the 3rd Degree,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-29,Risk of Violence,4,Low,2013-04-29,2013-04-28,2013-04-29,3,0,936,1,0,0 +4510,carlos calle,carlos,calle,2013-03-09,Male,1962-04-13,54,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-03-08 01:01:34,2013-04-16 01:26:45,13004726MM10A,2013-03-08,,1,M,Battery,1,15035132TC20A,(M1),,2015-06-06,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2014-09-10,2014-09-18,2,38,550,0,0,0 +4511,tommie carter,tommie,carter,2013-01-09,Male,1956-07-08,59,Greater than 45,African-American,0,1,0,0,1,-1,2013-01-08 07:37:28,2013-01-09 12:43:37,13000317CF10A,2013-01-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2013-01-08,2013-01-09,1,0,1178,0,0,0 +4513,jackson exalus,jackson,exalus,2013-05-19,Male,1991-11-25,24,Less than 25,Other,0,4,0,0,1,-1,2013-05-18 05:53:46,2013-05-23 03:55:02,13007120CF10A,2013-05-18,,1,F,Aggravated Assault W/dead Weap,1,15004135MM10A,(M1),1,2015-03-11,Resist/Obstruct W/O Violence,2015-03-12,2015-04-21,,1,15004135MM10A,(M1),2015-03-11,Battery,Risk of Recidivism,4,Low,2013-05-19,Risk of Violence,6,Medium,2013-05-19,2013-05-18,2013-05-23,1,4,661,1,1,1 +4514,rod robinson,rod,robinson,2013-12-26,Male,1951-10-08,64,Greater than 45,African-American,0,7,0,0,20,-1,2013-12-25 10:09:07,2013-12-27 11:47:33,13017781CF10A,2013-12-25,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-26,Risk of Violence,1,Low,2013-12-26,2013-12-25,2013-12-27,20,1,827,0,0,0 +4517,jameeka obriant,jameeka,obriant,2013-06-27,Female,1993-05-16,22,Less than 25,African-American,0,4,0,0,0,-7,2013-06-20 10:32:45,2013-06-26 09:05:59,13008701CF10A,2013-06-20,,7,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-27,Risk of Violence,5,Medium,2013-06-27,2013-06-20,2013-06-26,0,0,1009,0,0,0 +4520,rakesha hills,rakesha,hills,2013-09-26,Female,1986-04-01,30,25 - 45,African-American,0,6,0,0,3,0,2013-09-26 04:53:11,2013-10-08 05:32:22,13013530CF10A,2013-09-26,,0,F,Felony Driving While Lic Suspd,1,14003801MM10A,(M1),0,2014-03-05,Battery,2014-03-05,2014-03-06,,1,14003801MM10A,(M1),2014-03-05,Battery,Risk of Recidivism,6,Medium,2013-09-26,Risk of Violence,3,Low,2013-09-26,2014-03-05,2014-03-06,3,12,160,1,1,1 +4521,harriet blake,harriet,blake,2013-12-06,Female,1989-04-18,27,25 - 45,Caucasian,0,5,0,0,0,0,2013-12-06 03:15:24,2013-12-06 09:29:08,13016895CF10A,2013-12-06,,0,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-06,Risk of Violence,3,Low,2013-12-06,2013-12-06,2013-12-06,0,0,847,0,0,0 +4524,matthew haffner,matthew,haffner,2013-12-30,Male,1995-12-02,20,Less than 25,Caucasian,0,4,0,2,0,-3,2013-12-27 01:47:20,2013-12-27 08:51:11,13017820CF10A,2013-12-26,,4,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-30,Risk of Violence,7,Medium,2013-12-30,2013-12-27,2013-12-27,0,0,823,0,0,0 +4527,everson alexis,everson,alexis,2014-01-28,Male,1978-05-03,37,25 - 45,Other,0,1,0,0,0,-1,2014-01-27 04:34:50,2014-01-28 08:12:42,14001503MM10A,2014-01-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-28,Risk of Violence,1,Low,2014-01-28,2014-01-27,2014-01-28,0,0,794,0,0,0 +4530,andre eaton,andre,eaton,2013-11-27,Male,1990-07-15,25,25 - 45,Other,0,2,0,0,2,0,2013-11-27 12:32:45,2013-11-27 02:52:06,13016493CF10A,2013-11-26,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-27,Risk of Violence,3,Low,2013-11-27,2015-04-10,2015-04-11,2,0,499,0,0,0 +4534,lakesia hawkins,lakesia,hawkins,2014-02-05,Female,1983-04-29,32,25 - 45,African-American,0,2,0,0,0,-1,2014-02-04 12:32:17,2014-02-05 09:57:20,14001960MM10A,2014-02-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-05,Risk of Violence,1,Low,2014-02-05,2014-02-04,2014-02-05,0,0,786,0,0,0 +4536,dena gaines,dena,gaines,2013-08-19,Female,1971-07-03,44,25 - 45,Caucasian,0,1,0,0,1,-3,2013-08-16 09:32:39,2013-08-17 06:40:59,13011514CF10A,2013-08-16,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-10-15,2013-10-16,1,0,57,0,0,0 +4537,alphonse mills,alphonse,mills,2013-03-09,Male,1975-04-10,41,25 - 45,African-American,0,4,0,0,8,-1,2013-03-08 11:20:25,2013-03-10 01:38:59,13003467CF10A,2013-03-08,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-09,Risk of Violence,2,Low,2013-03-09,2016-02-10,2016-02-10,8,1,1068,0,0,0 +4541,jeffrey chidsey,jeffrey,chidsey,2013-03-18,Male,1985-11-10,30,25 - 45,Caucasian,0,2,0,0,3,21,2013-04-08 04:09:44,2013-05-04 02:26:09,15014942CF10A,2009-08-17,,1309,F,Murder In 2nd Degree W/firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-18,Risk of Violence,2,Low,2013-03-18,2013-04-08,2013-05-04,3,0,21,0,0,0 +4544,bradford crayton,bradford,crayton,2013-05-24,Male,1988-10-17,27,25 - 45,African-American,0,5,0,0,2,0,2013-05-24 04:38:03,2013-05-31 10:05:39,13010012MM10A,2013-05-24,,0,M,Battery,1,14003318CF10A,(M1),0,2014-03-09,Battery,2014-03-09,2014-05-16,,1,14003318CF10A,(F2),2014-03-09,Agg Battery Grt/Bod/Harm,Risk of Recidivism,5,Medium,2013-05-24,Risk of Violence,6,Medium,2013-05-24,2014-03-09,2014-05-16,2,7,289,1,1,1 +4552,felix regis,felix,regis,2014-01-08,Male,1992-10-24,23,Less than 25,African-American,0,2,0,0,1,-45,2013-11-24 07:49:16,2013-11-24 08:12:10,13016330CF10A,2013-11-24,,45,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,3,Low,2014-01-08,2014-08-28,2014-08-30,1,0,232,0,0,0 +4553,francisco sanchezlagomarcino,francisco,sanchezlagomarcino,2013-04-27,Male,1981-12-15,34,25 - 45,Hispanic,0,3,0,0,2,0,2013-04-27 02:33:25,2013-04-27 07:29:37,13020330TC10A,2013-04-27,,0,M,Operating W/O Valid License,1,16000043CF10A,(M2),0,2016-01-01,Unlaw LicTag/Sticker Attach,2016-01-01,2016-01-03,,0,,,,,Risk of Recidivism,3,Low,2013-04-27,Risk of Violence,2,Low,2013-04-27,2016-01-01,2016-01-03,2,0,979,1,0,0 +4554,patrick jean,patrick,jean,2013-12-06,Male,1983-04-03,33,25 - 45,African-American,0,10,0,0,1,,,,04017955CF10A,,2013-11-29,7,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-06,Risk of Violence,6,Medium,2013-12-06,,,1,0,847,0,0,0 +4556,carmelle prospere,carmelle,prospere,2014-03-23,Female,1983-02-10,33,25 - 45,African-American,0,4,0,0,3,-1,2014-03-22 07:22:13,2014-03-23 09:07:58,14005016MM10A,2014-03-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-23,3,0,740,0,0,0 +4557,nicholas brady,nicholas,brady,2013-07-16,Male,1982-08-27,33,25 - 45,Caucasian,0,5,0,0,3,-42,2013-06-04 12:15:50,2013-07-15 11:24:04,13007866CF10A,2013-06-03,,43,F,False Ownership Info/Pawn Item,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-16,Risk of Violence,3,Low,2013-07-16,2013-09-09,2014-01-26,3,0,55,0,0,0 +4558,daniel cox,daniel,cox,2014-02-26,Male,1983-01-19,33,25 - 45,Caucasian,0,1,0,0,0,-1,2014-02-25 04:14:26,2014-03-04 02:26:37,14002666CF10A,2014-02-25,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,2,Low,2014-02-26,2014-02-25,2014-03-04,0,6,765,0,0,0 +4559,david doughty,david,doughty,2014-02-18,Male,1975-03-26,41,25 - 45,African-American,0,6,0,0,2,46,2014-04-05 12:50:01,2014-04-17 03:15:17,13017774MM10A,,2013-12-23,57,M,arrest case no charge,1,14005800MO10A,(MO3),0,2014-04-05,Petit Theft,2014-04-05,2014-04-17,,1,14006612MM10A,(M1),2014-04-20,Battery,Risk of Recidivism,6,Medium,2014-02-18,Risk of Violence,5,Medium,2014-02-18,2014-04-05,2014-04-17,2,0,46,1,1,1 +4560,angel hernandez,angel,hernandez,2013-10-01,Male,1978-09-04,37,25 - 45,Hispanic,0,1,0,0,1,-1,2013-09-30 10:22:08,2013-10-01 07:31:46,13018614MM10A,2013-09-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-09-30,2013-10-01,1,0,913,0,0,0 +4562,adrien petit,adrien,petit,2013-08-16,Male,1988-04-01,28,25 - 45,African-American,0,5,0,0,9,-1,2013-08-15 12:50:23,2013-08-17 04:14:04,13015497MM10A,2013-08-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-16,Risk of Violence,4,Low,2013-08-16,2013-08-15,2013-08-17,9,1,959,0,0,0 +4563,chercolby sweet-foy,chercolby,sweet-foy,2013-02-26,Female,1990-12-16,25,25 - 45,African-American,0,5,0,0,0,-1,2013-02-25 10:08:13,2013-02-26 12:52:06,13002860CF10A,2013-02-25,,1,F,Aggravated Assault W/dead Weap,1,13010198CF10A,(F3),0,2013-07-20,Agg Assault W/int Com Fel Dome,2013-07-20,2013-07-21,,1,13010198CF10A,(F3),2013-07-20,Agg Assault W/int Com Fel Dome,Risk of Recidivism,5,Medium,2013-02-26,Risk of Violence,5,Medium,2013-02-26,2013-07-20,2013-07-21,0,0,144,1,1,1 +4566,latura hall,latura,hall,2013-02-03,Female,1985-09-24,30,25 - 45,African-American,0,4,0,0,1,-1,2013-02-02 05:10:03,2013-02-04 05:37:02,13002402MM10A,2013-02-02,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-03,Risk of Violence,3,Low,2013-02-03,2013-02-02,2013-02-04,1,1,1153,0,0,0 +4567,valencia wilsonbrown,valencia,wilsonbrown,2013-04-19,Female,1968-08-04,47,Greater than 45,African-American,0,2,0,0,0,-2,2013-04-17 11:16:09,2013-04-18 08:01:15,13007461MM10A,2013-04-17,,2,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-17,2013-04-18,0,0,1078,0,0,0 +4569,tyson harper,tyson,harper,2013-08-29,Male,1978-10-02,37,25 - 45,Caucasian,0,5,0,0,5,-105,2013-05-16 10:40:48,2013-08-29 10:25:21,12002486MM10A,,2013-05-17,104,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-29,Risk of Violence,1,Low,2013-08-29,2014-07-18,2014-12-02,5,0,323,0,0,0 +4574,christian mcdaniel,christian,mcdaniel,2013-01-13,Male,1984-11-25,31,25 - 45,Caucasian,0,8,0,0,9,0,2013-01-13 03:26:50,2013-05-10 01:28:33,11014072CF10A,,2013-01-13,0,F,arrest case no charge,1,14000700CF10A,(F3),0,2014-01-17,Possession of Cocaine,2014-01-17,2014-01-17,,1,14004052CF10A,(F3),2014-03-22,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2013-01-13,Risk of Violence,4,Low,2013-01-13,2014-01-17,2014-01-17,9,117,369,0,1,1 +4576,christina deluca,christina,deluca,2013-03-20,Female,1986-01-18,30,25 - 45,Caucasian,0,3,0,0,1,-43,2013-02-05 04:36:11,2013-02-05 07:27:49,13001785CF10A,2013-02-05,,43,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-20,Risk of Violence,2,Low,2013-03-20,2013-02-05,2013-02-05,1,0,1108,0,0,0 +4581,frank battle,frank,battle,2013-09-10,Male,1955-09-10,60,Greater than 45,African-American,0,9,0,0,10,,,,12005812CF10A,,2013-05-29,104,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-10,Risk of Violence,4,Low,2013-09-10,2008-02-21,2009-08-18,10,0,934,0,0,0 +4582,renee monroe,renee,monroe,2013-03-19,Female,1969-07-27,46,Greater than 45,African-American,0,8,0,0,7,-1,2013-03-18 11:13:20,2013-04-06 08:43:39,13005330MM10A,2013-03-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-19,Risk of Violence,3,Low,2013-03-19,2013-03-18,2013-04-06,7,18,1109,0,0,0 +4584,scott jonas,scott,jonas,2013-04-18,Male,1953-09-17,62,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-04-17 12:42:29,2013-04-18 01:50:29,13007466MM10A,2013-04-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-04-17,2013-04-18,3,0,1079,0,0,0 +4591,clinton johnson,clinton,johnson,2013-01-06,Male,1991-01-15,25,25 - 45,Caucasian,0,9,2,1,9,0,2013-01-06 04:36:22,2013-03-01 07:44:45,12007890CF10A,,2013-01-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-06,Risk of Violence,9,High,2013-01-06,2013-01-06,2013-03-01,9,54,1181,0,0,0 +4593,talal abouhana,talal,abouhana,2013-02-17,Male,1978-04-19,38,25 - 45,Asian,0,1,0,0,0,-1,2013-02-16 08:04:12,2013-02-17 01:58:20,13003376MM10A,2013-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-17,Risk of Violence,1,Low,2013-02-17,2013-02-16,2013-02-17,0,0,1139,0,0,0 +4598,nikevis mitchell,nikevis,mitchell,2013-05-10,Male,1986-05-07,29,25 - 45,African-American,0,10,0,0,5,-1,2013-05-09 01:29:58,2013-05-11 06:16:17,13006644CF10A,2013-05-09,,1,F,Possession Burglary Tools,1,15001535MM30A,(M1),,2015-09-10,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,10,High,2013-05-10,Risk of Violence,8,High,2013-05-10,2013-05-09,2013-05-11,5,1,853,1,0,0 +4603,eric taylor,eric,taylor,2013-02-16,Male,1976-08-08,39,25 - 45,African-American,0,3,0,0,2,0,2013-02-16 03:49:30,2013-02-16 08:09:00,13002423CF10A,2013-02-16,,0,F,Possession of Cannabis,1,15025409TC10A,(M2),,2015-09-01,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-16,Risk of Violence,1,Low,2013-02-16,2013-02-16,2013-02-16,2,0,927,1,0,0 +4604,ovidio vasquez,ovidio,vasquez,2013-02-28,Male,1968-01-08,48,Greater than 45,Hispanic,0,1,0,0,1,0,2013-02-28 02:24:37,2013-08-14 11:30:08,13004137MM10A,2013-02-27,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-28,Risk of Violence,1,Low,2013-02-28,2013-02-28,2013-08-14,1,167,1128,0,0,0 +4605,suzette tillit,suzette,tillit,2013-05-04,Male,1984-07-15,31,25 - 45,Other,0,1,0,0,3,-1,2013-05-03 12:37:24,2013-05-04 05:39:19,13008631MM10A,2013-05-03,,1,M,Battery,1,14001219MM30A,(M2),,2013-12-20,Criminal Mischief,,,,1,14001219MM30A,(M1),2013-12-20,Battery,Risk of Recidivism,1,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-05-03,2013-05-04,3,0,230,1,1,1 +4609,suong huynh,suong,huynh,2013-11-09,Male,1965-10-18,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-08 09:47:29,2013-11-09 01:50:35,13021131MM10A,2013-11-08,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-09,Risk of Violence,1,Low,2013-11-09,2013-12-09,2013-12-10,0,0,30,0,0,0 +4611,alonzo long,alonzo,long,2013-09-27,Male,1988-07-07,27,25 - 45,African-American,0,1,0,0,0,0,2013-09-27 01:08:40,2013-09-28 01:42:06,13018441MM10A,2013-09-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-27,Risk of Violence,2,Low,2013-09-27,2013-09-27,2013-09-28,0,1,917,0,0,0 +4613,shirlene joseph,shirlene,joseph,2013-01-11,Female,1983-06-27,32,25 - 45,African-American,0,3,0,0,2,340,2013-12-17 12:16:41,2014-03-05 04:11:58,12001290CF10A,2012-01-25,,352,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-11,Risk of Violence,2,Low,2013-01-11,2013-12-17,2014-03-05,2,0,340,0,0,0 +4615,alexus jackson,alexus,jackson,2013-01-19,Female,1992-01-10,24,Less than 25,African-American,0,6,0,0,2,0,2013-01-19 06:28:29,2013-02-19 03:54:59,13003068TC10A,2013-01-19,,0,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-19,Risk of Violence,5,Medium,2013-01-19,2014-01-09,2014-01-09,2,31,355,0,0,0 +4618,alex louissaint,alex,louissaint,2013-10-22,Male,1995-01-05,21,Less than 25,African-American,1,6,1,0,2,-32,2013-09-20 10:32:05,2013-10-12 02:22:27,13013098CF10A,,2013-09-20,32,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-22,Risk of Violence,8,High,2013-10-22,2013-09-20,2013-10-12,2,0,892,0,0,0 +4620,fabio viana,fabio,viana,2013-02-18,Male,1974-12-10,41,25 - 45,Caucasian,0,2,0,0,0,0,2013-02-18 01:26:20,2013-02-18 06:29:40,13002455CF10A,2013-02-17,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-18,Risk of Violence,1,Low,2013-02-18,2013-02-18,2013-02-18,0,0,1138,0,0,0 +4622,donarth harris,donarth,harris,2013-05-22,Male,1977-12-15,38,25 - 45,Other,0,3,0,0,1,-1,2013-05-21 04:55:10,2013-05-22 03:30:14,13007263CF10A,2013-05-21,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,3,Low,2013-05-22,2013-05-21,2013-05-22,1,0,1045,0,0,0 +4624,prince brown,prince,brown,2014-01-04,Male,1983-09-17,32,25 - 45,African-American,0,8,0,0,2,0,2014-01-04 02:55:07,2014-01-23 10:05:15,14000150CF10A,2014-01-03,,1,F,Possession of Cocaine,1,14005731MM10A,(M1),0,2014-04-02,Battery,2014-04-02,2014-04-24,,1,14005731MM10A,(M1),2014-04-02,Battery,Risk of Recidivism,8,High,2014-01-04,Risk of Violence,6,Medium,2014-01-04,2014-04-02,2014-04-24,2,19,88,1,1,1 +4625,joseph massucco,joseph,massucco,2013-10-15,Male,1989-04-16,27,25 - 45,Caucasian,0,6,0,0,5,414,2014-12-03 01:33:47,2015-01-02 01:47:50,13014425CF10A,2013-10-15,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-15,Risk of Violence,3,Low,2013-10-15,2014-12-03,2015-01-02,5,0,414,0,0,0 +4626,amanda olek,amanda,olek,2013-01-22,Female,1992-02-05,24,Less than 25,Caucasian,0,5,0,0,1,,,,12013500CF10A,2012-09-13,,131,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-22,Risk of Violence,4,Low,2013-01-22,,,1,0,1165,0,0,0 +4628,james johnson,james,johnson,2013-02-08,Male,1991-03-23,25,25 - 45,Caucasian,0,9,0,0,1,0,2013-02-08 03:23:59,2013-04-08 04:29:04,13001970CF10A,2013-02-08,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-08,Risk of Violence,9,High,2013-02-08,2013-07-22,2013-07-30,1,59,164,0,0,0 +4629,kevin burns,kevin,burns,2013-10-10,Male,1961-04-16,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-09 05:20:59,2013-11-08 10:11:50,13019211MM10A,2013-10-09,,1,M,Battery,1,15009586MM10A,(M1),,2015-08-19,Battery,,,,1,15009586MM10A,(M1),2015-08-19,Battery,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,2,Low,2013-10-10,2013-10-09,2013-11-08,0,29,678,1,1,1 +4631,andre veira,andre,veira,2014-07-05,Male,1987-11-07,28,25 - 45,African-American,1,10,0,0,7,-1,2014-07-04 08:01:25,2014-07-05 08:26:16,14009213CF10A,2014-07-04,,1,F,Grand Theft in the 3rd Degree,1,14096127TC30A,(M2),78,2014-11-20,Operating W/O Valid License,2015-02-06,2015-02-07,,1,15006923CF10A,(F3),2015-03-01,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2014-07-05,Risk of Violence,7,Medium,2014-07-05,2014-11-12,2014-11-13,7,0,130,0,1,1 +4639,claudia arbelaez,claudia,arbelaez,2014-01-12,Female,1977-02-09,39,25 - 45,Hispanic,0,4,0,2,10,-1,2014-01-11 09:59:10,2014-01-12 02:30:18,14000497CF10A,2014-01-11,,1,F,Battery on a Person Over 65,1,14011313CF10A,(M1),1,2014-08-18,Resist/Obstruct W/O Violence,2014-08-19,2014-10-07,,1,14011313CF10A,(F3),2014-08-18,Battery on Law Enforc Officer,Risk of Recidivism,4,Low,2014-01-12,Risk of Violence,3,Low,2014-01-12,2016-03-23,2016-03-24,10,0,218,1,1,1 +4641,elizabeth maddox,elizabeth,maddox,2013-01-02,Female,1981-02-20,35,25 - 45,Caucasian,0,4,0,0,1,-1,2013-01-01 10:04:07,2013-01-02 01:12:01,13000041MM10A,2013-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-02,Risk of Violence,2,Low,2013-01-02,2013-01-01,2013-01-02,1,0,1185,0,0,0 +4643,devorist calloway,devorist,calloway,2013-05-07,Male,1984-01-25,32,25 - 45,African-American,0,10,1,3,12,-1,2013-05-06 08:54:39,2013-05-08 02:59:50,13008754MM10A,2013-05-06,,1,M,Battery,1,13008651CF10A,(F3),0,2013-06-19,Pos Cannabis W/Intent Sel/Del,2013-06-19,2013-06-20,,1,14012818MM10A,(M1),2014-06-13,Battery,Risk of Recidivism,10,High,2013-05-07,Risk of Violence,6,Medium,2013-05-07,2013-06-19,2013-06-20,12,1,43,1,1,1 +4645,denzle langley,denzle,langley,2013-10-03,Male,1947-04-04,69,Greater than 45,Other,0,1,0,0,0,-1,2013-10-02 11:30:23,2013-10-03 08:15:01,13018771MM10A,2013-10-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-10-02,2013-10-03,0,0,911,0,0,0 +4647,mateus slovinski,mateus,slovinski,2013-12-16,Male,1994-10-17,21,Less than 25,Caucasian,0,6,0,1,1,-21,2013-11-25 09:39:37,2013-11-26 02:01:43,13022149MM10A,2013-11-25,,21,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-16,Risk of Violence,8,High,2013-12-16,2013-11-25,2013-11-26,1,0,837,0,0,0 +4648,imad farah,imad,farah,2013-05-08,Male,1974-11-11,41,25 - 45,Caucasian,0,1,0,0,1,0,2013-05-08 10:07:34,2013-05-10 11:57:26,12018476CF10A,,2013-05-08,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-08,Risk of Violence,1,Low,2013-05-08,2013-05-08,2013-05-10,1,2,1059,0,0,0 +4649,wilkins robles,wilkins,robles,2013-07-15,Male,1994-08-02,21,Less than 25,Hispanic,0,5,0,0,0,-3,2013-07-12 04:10:13,2013-07-13 01:26:10,13009825CF10A,2013-07-12,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-15,Risk of Violence,6,Medium,2013-07-15,2013-07-12,2013-07-13,0,0,991,0,0,0 +4651,zachary simon,zachary,simon,2013-01-27,Male,1977-05-27,38,25 - 45,African-American,0,8,0,0,0,-1,2013-01-26 08:27:54,2013-01-31 08:48:08,13001280CF10A,2013-01-26,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2013-01-26,2013-01-31,0,4,1160,0,0,0 +4655,mckenzy bienaime,mckenzy,bienaime,2013-05-04,Male,1984-05-08,31,25 - 45,Caucasian,0,8,0,0,10,185,2013-11-05 12:03:59,2013-11-05 02:05:25,11018233MM10A,2011-08-13,,630,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-04,Risk of Violence,4,Low,2013-05-04,2013-11-05,2013-11-05,10,0,185,0,0,0 +4657,pablo cabrera,pablo,cabrera,2013-08-27,Male,1980-09-17,35,25 - 45,Caucasian,0,2,0,0,2,0,2013-08-27 01:13:03,2013-09-30 06:47:08,13016322MM10A,2013-08-27,,0,M,Viol Prot Injunc Repeat Viol,1,14001030MM10A,(M1),183,2013-11-13,Viol Injunct Domestic Violence,2014-05-15,2014-07-03,,1,15001398CF10A,(F3),2014-07-01,Stalking (Aggravated),Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,3,Low,2013-08-27,2013-08-27,2013-09-30,2,34,78,1,1,1 +4658,bendik bienaime,bendik,bienaime,2013-03-27,Male,1981-08-26,34,25 - 45,African-American,0,6,0,0,5,-13,2013-03-14 10:36:21,2013-03-16 12:30:05,13005092MM10A,2013-03-14,,13,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,6,Medium,2013-03-27,2013-03-14,2013-03-16,5,0,1101,0,0,0 +4659,steven cooper,steven,cooper,2013-12-11,Male,1963-11-13,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-10 06:48:24,2013-12-11 01:30:42,13022861MM10A,2013-12-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2013-12-10,2013-12-11,0,0,842,0,0,0 +4660,raphale demeritte,raphale,demeritte,2013-01-08,Male,1994-10-16,21,Less than 25,African-American,0,8,0,0,0,-1,2013-01-07 09:42:31,2013-01-09 01:05:12,13000282CF10A,,2013-01-07,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-08,Risk of Violence,8,High,2013-01-08,2014-07-08,2014-07-08,0,1,546,0,0,0 +4661,patrick clark,patrick,clark,2014-03-06,Male,1973-03-17,43,25 - 45,African-American,0,2,0,0,8,-1,2014-03-05 03:32:15,2014-03-06 08:44:10,14003805MM10A,2014-03-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-06,Risk of Violence,2,Low,2014-03-06,2014-03-05,2014-03-06,8,0,757,0,0,0 +4662,nicole coggio,nicole,coggio,2013-01-28,Female,1983-09-20,32,25 - 45,Caucasian,0,2,0,0,0,-1,2013-01-27 12:16:14,2013-01-28 12:35:10,13001301CF10A,2013-01-26,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-28,Risk of Violence,2,Low,2013-01-28,2013-01-27,2013-01-28,0,0,1159,0,0,0 +4665,briana adhemar,briana,adhemar,2013-12-27,Female,1994-07-18,21,Less than 25,African-American,0,4,0,0,0,-1,2013-12-26 06:13:31,2013-12-27 07:35:30,13023835MM10A,2013-12-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-27,Risk of Violence,5,Medium,2013-12-27,2013-12-26,2013-12-27,0,0,826,0,0,0 +4668,flora valliere,flora,valliere,2013-12-24,Female,1950-12-04,65,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-23 12:11:10,2013-12-23 01:21:39,13017624CF10A,2013-12-22,,2,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-24,Risk of Violence,1,Low,2013-12-24,2013-12-23,2013-12-23,1,0,829,0,0,0 +4670,vashty mayor,vashty,mayor,2013-02-16,Female,1988-07-14,27,25 - 45,Caucasian,0,3,0,0,0,0,2013-02-16 04:48:14,2013-02-17 09:06:22,13003401MM10A,2013-02-16,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-16,Risk of Violence,3,Low,2013-02-16,2013-02-16,2013-02-17,0,1,1140,0,0,0 +4673,romel jeanlouis,romel,jeanlouis,2013-03-19,Male,1990-12-04,25,25 - 45,African-American,0,8,0,1,1,620,2014-11-29 10:21:00,2015-03-14 04:18:32,13005309MM10A,2013-03-18,,1,M,Possess Cannabis/20 Grams Or Less,1,16002988CF10A,(F3),,2016-03-09,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-19,Risk of Violence,8,High,2013-03-19,2014-11-29,2015-03-14,1,0,620,0,0,0 +4677,annonce georges,annonce,georges,2013-12-07,Male,1973-11-11,42,25 - 45,Other,0,3,0,0,6,-1,2013-12-06 03:17:43,2013-12-07 07:51:47,13022647MM10A,2013-12-06,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-07,Risk of Violence,1,Low,2013-12-07,2015-08-01,2015-08-01,6,0,602,0,0,0 +4678,larry king,larry,king,2013-04-22,Male,1952-08-16,63,Greater than 45,African-American,0,3,0,0,6,-1,2013-04-21 11:10:45,2013-05-16 06:46:14,10016314CF10A,,2013-04-22,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-22,Risk of Violence,2,Low,2013-04-22,2013-04-21,2013-05-16,6,24,1075,0,0,0 +4679,jose rivera,jose,rivera,2013-08-10,Male,1975-06-05,40,25 - 45,Caucasian,0,2,0,0,0,0,2013-08-10 12:52:53,2013-08-10 09:20:05,13015056MM10A,2013-08-09,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-10,Risk of Violence,1,Low,2013-08-10,2013-08-10,2013-08-10,0,0,965,0,0,0 +4680,ricardo centurion,ricardo,centurion,2013-04-12,Male,1981-11-16,34,25 - 45,Hispanic,0,2,0,0,0,-1,2013-04-11 09:53:54,2013-04-12 09:11:30,13005255CF10A,2013-04-11,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-04-11,2013-04-12,0,0,1085,0,0,0 +4682,russell desvergers,russell,desvergers,2013-10-09,Male,1988-05-19,27,25 - 45,Caucasian,0,2,0,0,1,-1,2013-10-08 11:08:37,2013-10-09 08:35:23,13019140MM10A,2013-10-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-09,Risk of Violence,2,Low,2013-10-09,2013-10-08,2013-10-09,1,0,905,0,0,0 +4683,josue sanchez,josue,sanchez,2014-03-17,Male,1986-08-05,29,25 - 45,Hispanic,0,1,0,0,0,-1,2014-03-16 05:03:20,2014-03-17 08:53:08,14004563MM10A,2014-03-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-16,2014-03-17,0,0,746,0,0,0 +4686,andria vassell,andria,vassell,2013-05-14,Female,1965-07-25,50,Greater than 45,African-American,0,1,0,0,0,-1,2013-05-13 09:20:14,2013-05-14 09:21:11,13009247MM10A,2013-05-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,2,Low,2013-05-14,2013-05-13,2013-05-14,0,0,1053,0,0,0 +4688,tramaine conley,tramaine,conley,2013-05-13,Male,1984-05-12,31,25 - 45,African-American,0,2,0,0,1,,,,13012254TC10A,2013-03-06,,68,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,,,1,0,1054,0,0,0 +4692,george sisler,george,sisler,2013-04-30,Male,1968-08-12,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-29 09:40:41,2013-04-30 01:06:20,13008304MM10A,2013-04-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-29,2013-04-30,0,0,1067,0,0,0 +4694,joseph torres,joseph,torres,2014-01-27,Male,1971-11-17,44,25 - 45,Caucasian,0,4,0,0,2,-2,2014-01-25 12:28:35,2014-01-25 04:53:46,14001375MM10A,2014-01-24,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-25,2014-01-25,2,0,795,0,0,0 +4696,jorge hourruitiner,jorge,hourruitiner,2013-12-26,Male,1960-03-03,56,Greater than 45,Hispanic,0,1,0,0,0,-2,2013-12-24 10:08:42,2013-12-25 11:53:05,13017769CF10A,2013-12-24,,2,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-26,Risk of Violence,1,Low,2013-12-26,2013-12-24,2013-12-25,0,0,827,0,0,0 +4697,eliott arcia,eliott,arcia,2013-10-13,Male,1992-10-05,23,Less than 25,African-American,0,3,0,0,0,-1,2013-10-12 10:31:42,2013-10-25 08:54:33,13019373MM10A,2013-10-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-13,Risk of Violence,5,Medium,2013-10-13,2013-10-12,2013-10-25,0,12,901,0,0,0 +4698,abe navarro,abe,navarro,2013-03-20,Male,1961-12-22,54,Greater than 45,African-American,0,6,0,0,10,0,2013-03-20 01:48:12,2013-04-19 07:33:20,13004033CF10A,2013-03-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-20,2013-04-19,10,30,1108,0,0,0 +4701,robert sellars,robert,sellars,2013-08-18,Male,1977-04-27,38,25 - 45,Caucasian,0,10,0,0,17,-1,2013-08-17 04:00:03,2014-02-13 10:28:00,13011554CF10A,2013-08-17,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-18,Risk of Violence,8,High,2013-08-18,2013-08-17,2014-02-13,17,179,957,0,0,0 +4703,gary camilo,gary,camilo,2013-02-11,Male,1990-12-10,25,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-11 04:13:47,2013-02-11 06:53:25,13002139CF10A,2013-02-10,,1,F,Pos Cannabis W/Intent Sel/Del,1,13022555MM10A,(M1),,2013-11-06,Possess Cannabis/20 Grams Or Less,,,,1,15011390MM10A,(M1),2015-10-29,Battery,Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,3,Low,2013-02-11,2013-06-27,2013-06-28,0,0,136,0,1,1 +4708,jean valeus,jean,valeus,2013-12-18,Male,1984-11-25,31,25 - 45,African-American,0,2,0,0,4,-70,2013-10-09 10:45:21,2013-12-18 10:47:06,13015383CF10A,,2013-11-01,47,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-18,Risk of Violence,1,Low,2013-12-18,2013-10-09,2013-12-18,4,0,835,0,0,0 +4711,carline germaine,carline,germaine,2013-08-08,Female,1977-03-01,39,25 - 45,African-American,0,1,0,0,1,-42,2013-06-27 08:42:08,2013-07-03 01:12:28,13009223CF10A,,2013-06-28,41,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,2013-06-27,2013-07-03,1,0,967,0,0,0 +4712,paul johnson,paul,johnson,2014-01-08,Male,1959-06-25,56,Greater than 45,African-American,0,2,0,0,6,-1,2014-01-07 11:08:37,2014-01-08 12:23:20,14000263CF10A,2014-01-07,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,1,Low,2014-01-08,2014-03-03,2014-03-11,6,0,54,0,0,0 +4718,jeffery mann,jeffery,mann,2013-08-07,Male,1976-11-29,39,25 - 45,Caucasian,0,1,0,0,1,-29,2013-07-09 03:08:15,2013-08-07 10:44:26,13009621CF10A,2013-07-09,,29,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,2013-07-09,2013-08-07,1,0,968,0,0,0 +4719,lindsey jorgensen,lindsey,jorgensen,2013-12-28,Male,1986-06-01,29,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-28 06:06:48,2013-12-29 02:05:08,13023925MM10A,2013-12-28,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,2,Low,2013-12-28,2013-12-28,2013-12-29,0,1,825,0,0,0 +4720,alexandria smiley,alexandria,smiley,2013-02-12,Female,1988-04-02,28,25 - 45,Caucasian,0,8,0,0,3,,,,10018447CF10A,2010-10-14,,852,F,Felony Committing Prostitution,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-12,Risk of Violence,3,Low,2013-02-12,,,3,0,1144,0,0,0 +4722,daniel heim,daniel,heim,2013-12-09,Male,1989-10-24,26,25 - 45,Caucasian,0,5,0,0,0,-2,2013-12-07 11:51:28,2013-12-08 02:29:07,13022678MM10A,2013-12-07,,2,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-09,Risk of Violence,3,Low,2013-12-09,2013-12-07,2013-12-08,0,0,844,0,0,0 +4725,sharon johnson,sharon,johnson,2013-02-28,Female,1964-12-02,51,Greater than 45,African-American,1,10,0,0,10,173,2013-08-20 06:30:52,2013-10-24 11:30:00,11019445CF10A,,2012-08-16,196,F,arrest case no charge,1,16002338MM10A,(M2),,2016-02-25,Petit Theft,,,,0,,,,,Risk of Recidivism,10,High,2013-02-28,Risk of Violence,6,Medium,2013-02-28,2013-08-20,2013-10-24,10,0,173,0,0,0 +4726,venetta mapp,venetta,mapp,2014-03-07,Female,1958-02-15,58,Greater than 45,Other,0,1,0,0,0,-1,2014-03-06 07:46:10,2014-03-07 09:31:06,14003198CF10A,2014-03-06,,1,F,Harass Witness/Victm/Informnt,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-07,Risk of Violence,1,Low,2014-03-07,2014-03-06,2014-03-07,0,0,756,0,0,0 +4731,taro beneby,taro,beneby,2013-08-17,Male,1994-11-27,21,Less than 25,African-American,0,5,0,0,0,-1,2013-08-16 08:09:44,2013-09-27 10:31:00,13011520CF10A,2013-08-16,,1,F,Grand Theft in the 3rd Degree,1,14002797CF10A,(F3),,2013-11-01,Child Abuse,,,,1,14002797CF10A,(F3),2013-11-01,Child Abuse,Risk of Recidivism,5,Medium,2013-08-17,Risk of Violence,7,Medium,2013-08-17,2013-08-16,2013-09-27,0,41,76,1,1,1 +4732,glenn weston,glenn,weston,2013-02-16,Male,1995-01-31,21,Less than 25,African-American,0,5,0,0,0,-1,2013-02-15 02:16:11,2013-04-03 01:53:18,13002367CF10A,2013-02-15,,1,F,Burglary Unoccupied Dwelling,1,15064458TC40A,(M2),,2015-11-04,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-16,Risk of Violence,8,High,2013-02-16,2013-02-15,2013-04-03,0,46,991,1,0,0 +4735,clevent louima,clevent,louima,2013-08-11,Male,1992-10-09,23,Less than 25,African-American,0,7,0,0,0,-1,2013-08-10 04:10:11,2013-08-12 07:20:06,13011247CF10A,2013-08-10,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-11,Risk of Violence,8,High,2013-08-11,2014-01-01,2014-06-03,0,1,143,0,0,0 +4737,david robinson,david,robinson,2013-08-23,Male,1970-02-28,46,Greater than 45,African-American,0,4,0,0,3,-1,2013-08-22 10:32:02,2013-08-24 12:37:15,13011344CF10A,,2013-08-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,3,Low,2013-08-23,2013-08-22,2013-08-24,3,1,952,0,0,0 +4743,william rodriguez,william,rodriguez,2013-05-09,Male,1980-08-25,35,25 - 45,Hispanic,0,7,0,0,5,0,2013-05-09 02:43:09,2013-05-09 07:43:17,13006654CF10A,2013-05-09,,0,F,Possession of Cocaine,1,15007532CF10A,(F3),,2015-06-07,Felony Batt(Great Bodily Harm),,,,1,15007532CF10A,(F3),2015-06-07,Felony Batt(Great Bodily Harm),Risk of Recidivism,7,Medium,2013-05-09,Risk of Violence,5,Medium,2013-05-09,2016-03-08,2020-01-01,5,0,759,1,0,0 +4747,authry heard,authry,heard,2013-06-13,Male,1981-09-06,34,25 - 45,African-American,0,7,0,0,12,-63,2013-04-11 12:32:24,2013-06-12 11:30:22,13005174CF10A,2013-04-10,,64,F,Deliver Cocaine,1,16005747TC30A,(M2),,2015-09-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-06-13,Risk of Violence,6,Medium,2013-06-13,2013-04-11,2013-06-12,12,0,811,1,0,0 +4748,ebony wooden,ebony,wooden,2014-01-31,Female,1986-01-10,30,25 - 45,African-American,0,3,0,0,0,0,2014-01-31 01:38:00,2014-01-31 01:25:37,14001683MM10A,2014-01-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-31,Risk of Violence,2,Low,2014-01-31,2014-01-31,2014-01-31,0,0,791,0,0,0 +4749,denny rivera,denny,rivera,2014-01-24,Male,1968-10-09,47,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-01-23 06:45:57,2014-01-24 11:04:07,14001002CF10A,2014-01-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-23,2014-01-24,1,0,798,0,0,0 +4750,david ellis,david,ellis,2013-06-26,Male,1985-09-20,30,25 - 45,Caucasian,0,4,0,0,4,-25,2013-06-01 07:39:34,2013-06-05 03:36:50,13007791CF10A,2013-06-01,,25,F,Use of Anti-Shoplifting Device,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-26,Risk of Violence,2,Low,2013-06-26,2013-10-31,2013-11-07,4,0,127,0,0,0 +4753,jose carrascoe,jose,carrascoe,2013-12-01,Male,1982-08-31,33,25 - 45,Hispanic,0,1,0,0,0,,,,13022344MM10A,2013-11-30,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,,,0,0,852,0,0,0 +4754,robert kathary,robert,kathary,2013-02-22,Male,1969-01-15,47,Greater than 45,African-American,0,1,0,0,1,-23,2013-01-30 02:41:32,2013-01-31 02:44:11,13001490CF10A,2013-01-30,,23,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-05-03,2013-05-28,1,0,70,0,0,0 +4760,samuel lamie,samuel,lamie,2013-07-22,Male,1965-11-24,50,Greater than 45,Caucasian,0,2,0,0,11,-31,2013-06-21 11:46:14,2013-07-18 08:18:43,12016410CF10A,,2013-06-21,31,F,arrest case no charge,1,14007834CF10A,(F2),0,2014-06-06,Agg Battery Grt/Bod/Harm,2014-06-06,2014-09-04,,1,14007834CF10A,(F2),2014-06-06,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2013-07-22,Risk of Violence,1,Low,2013-07-22,2014-06-06,2014-09-04,11,0,319,1,1,1 +4763,jessica brekke,jessica,brekke,2013-04-04,Male,1992-04-10,24,Less than 25,Caucasian,0,3,0,2,1,-1,2013-04-03 11:02:12,2013-04-04 01:29:44,13004768CF10A,2013-04-03,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,4,Low,2013-04-04,2013-04-03,2013-04-04,1,0,1093,0,0,0 +4764,ssecrette brown,ssecrette,brown,2013-01-14,Female,1993-10-07,22,Less than 25,African-American,0,9,0,0,2,,,,12016221CF10A,2012-11-03,,72,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-14,Risk of Violence,6,Medium,2013-01-14,,,2,0,1173,0,0,0 +4765,andrew barnett,andrew,barnett,2013-08-20,Male,1970-09-06,45,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-08-19 04:52:26,2013-08-20 07:11:45,13011617CF10A,2013-08-19,,1,F,Aggrav Stalking After Injunctn,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-20,3,0,955,0,0,0 +4767,victor malaric,victor,malaric,2013-03-24,Male,1977-01-06,39,25 - 45,Caucasian,0,2,0,0,3,0,2013-03-24 02:38:00,2013-03-24 08:58:43,13004251CF10A,2013-03-24,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-24,Risk of Violence,1,Low,2013-03-24,2013-03-24,2013-03-24,3,0,1104,0,0,0 +4769,sean mccabe,sean,mccabe,2013-08-15,Male,1976-04-17,40,25 - 45,Caucasian,0,3,0,0,1,-1,2013-08-14 11:28:56,2013-09-25 11:09:03,13011437CF10A,2013-08-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2014-06-02,2014-06-09,1,41,291,0,0,0 +4772,bernard parker,bernard,parker,2013-01-21,Male,1991-08-16,24,Less than 25,African-American,0,10,0,0,0,-1,2013-01-20 09:19:10,2013-01-21 08:17:47,13000939CF10A,2013-01-20,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-21,Risk of Violence,6,Medium,2013-01-21,2013-01-20,2013-01-21,0,0,1166,0,0,0 +4773,alexandrea miles,alexandrea,miles,2014-01-05,Male,1992-12-30,23,Less than 25,African-American,0,7,0,1,1,-1,2014-01-04 09:53:02,2014-01-05 08:05:17,12005832CF10A,2012-04-18,,627,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-05,Risk of Violence,4,Low,2014-01-05,2014-01-04,2014-01-05,1,0,817,0,0,0 +4774,douglas mason,douglas,mason,2013-03-01,Male,1954-10-05,61,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-01 05:14:32,2013-03-01 01:48:41,13004215MM10A,2013-03-01,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-01,0,0,1127,0,0,0 +4780,jeffrey tapia,jeffrey,tapia,2014-01-02,Male,1993-02-14,23,Less than 25,Caucasian,0,6,0,0,2,-20,2013-12-13 02:14:06,2013-12-21 02:08:04,13017246CF10A,2013-12-12,,21,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-02,Risk of Violence,7,Medium,2014-01-02,2013-12-13,2013-12-21,2,0,820,0,0,0 +4784,arthur morgan,arthur,morgan,2013-04-11,Male,1976-01-15,40,25 - 45,African-American,1,8,0,0,15,-1,2013-04-10 11:19:32,2013-06-04 05:08:34,07016234CF10A,,2013-04-10,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-11,Risk of Violence,6,Medium,2013-04-11,2013-04-10,2013-06-04,15,54,1086,0,0,0 +4787,paul brown,paul,brown,2013-01-03,Male,1971-06-16,44,25 - 45,African-American,0,2,0,0,0,-1,2013-01-02 11:12:01,2013-01-06 01:18:20,13000082CF10A,,2013-01-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-02,2013-01-06,0,3,1184,0,0,0 +4792,nicole hewitt,nicole,hewitt,2013-10-29,Female,1994-04-11,22,Less than 25,African-American,0,9,1,0,3,-2,2013-10-27 04:53:42,2013-10-28 07:53:41,13020365MM10A,2013-10-27,,2,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-29,Risk of Violence,6,Medium,2013-10-29,2013-10-27,2013-10-28,3,0,885,0,0,0 +4795,lancy duggins,lancy,duggins,2013-05-15,Male,1958-12-27,57,Greater than 45,African-American,0,8,0,0,2,,,,11003377CF10A,2011-02-23,,812,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-15,Risk of Violence,4,Low,2013-05-15,2003-05-16,2003-11-08,2,0,1052,0,0,0 +4796,cassio slowden,cassio,slowden,2013-03-23,Male,1991-10-05,24,Less than 25,Other,0,6,0,0,5,-1,2013-03-22 03:39:01,2013-03-27 12:03:14,13000174MM10A,,2013-03-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-23,Risk of Violence,4,Low,2013-03-23,2013-11-27,2013-12-04,5,4,249,0,0,0 +4797,claudio tamarez,claudio,tamarez,2013-04-14,Male,1983-02-08,33,25 - 45,Caucasian,0,4,0,0,9,0,2013-04-14 01:37:01,2013-04-14 07:07:32,13005352CF10A,2013-04-14,,0,F,Possession Of Phentermine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,3,Low,2013-04-14,2013-06-12,2013-06-13,9,0,59,0,0,0 +4801,elie dubois,elie,dubois,2013-08-22,Male,1984-12-29,31,25 - 45,Other,0,1,1,0,5,-1,2013-08-21 01:16:09,2013-08-22 08:48:59,13010985CF10A,,2013-08-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-22,Risk of Violence,2,Low,2013-08-22,2013-09-16,2013-11-09,5,0,25,0,0,0 +4802,stephen marsh,stephen,marsh,2014-03-28,Male,1959-09-19,56,Greater than 45,Caucasian,0,5,0,0,7,-38,2014-02-18 07:26:02,2014-02-27 08:35:02,14002311CF10A,2014-02-18,,38,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-28,Risk of Violence,1,Low,2014-03-28,2014-02-18,2014-02-27,7,0,735,0,0,0 +4804,cristino lozano,cristino,lozano,2013-09-16,Male,1949-03-24,67,Greater than 45,Hispanic,0,1,0,0,2,67,2013-11-22 01:09:28,2014-02-28 04:55:27,13011978CF10A,2013-03-24,,176,F,Fel Drive License Perm Revoke,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-11-22,2014-02-28,2,0,67,0,0,0 +4808,john williams,john,williams,2013-02-21,Male,1958-10-08,57,Greater than 45,African-American,0,8,0,0,23,-1,2013-02-20 01:25:04,2013-03-22 05:54:39,13002585CF10A,,2013-02-20,1,F,arrest case no charge,1,15015357CF10A,(F2),,2015-11-29,Robbery / No Weapon,,,,1,15015357CF10A,(F2),2015-11-29,Robbery / No Weapon,Risk of Recidivism,8,High,2013-02-21,Risk of Violence,7,Medium,2013-02-21,2013-11-20,2014-08-07,23,29,272,0,1,1 +4811,francis gibbons,francis,gibbons,2013-08-05,Male,1951-04-01,65,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-08-04 08:51:09,2013-08-27 12:24:30,13010824CF10A,2013-08-04,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-05,Risk of Violence,2,Low,2013-08-05,2013-09-26,2013-10-09,3,22,52,0,0,0 +4812,peyton nunes,peyton,nunes,2013-02-27,Female,1993-10-23,22,Less than 25,Caucasian,0,9,0,0,0,-1,2013-02-26 04:51:22,2013-02-27 09:49:12,13003994MM10A,2013-02-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-27,Risk of Violence,7,Medium,2013-02-27,2013-02-26,2013-02-27,0,0,1129,0,0,0 +4815,nicole howard,nicole,howard,2013-08-14,Female,1981-04-10,35,25 - 45,African-American,0,6,0,0,2,-15,2013-07-30 05:05:43,2013-08-14 02:10:10,12012951CF10A,,2013-07-30,15,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-14,Risk of Violence,2,Low,2013-08-14,2014-04-03,2014-04-24,2,0,232,0,0,0 +4817,jacob humes,jacob,humes,2013-01-27,Male,1987-01-05,29,25 - 45,African-American,0,3,1,0,2,-1,2013-01-26 01:09:16,2013-01-28 03:32:20,13001886MM10A,2013-01-26,,1,M,Battery,1,13009010CF10A,(F3),0,2013-06-26,Aggravated Assault W/dead Weap,2013-06-26,2013-06-29,,1,13009010CF10A,(F3),2013-06-26,Aggravated Assault W/dead Weap,Risk of Recidivism,3,Low,2013-01-27,Risk of Violence,4,Low,2013-01-27,2013-06-26,2013-06-29,2,1,150,1,1,1 +4821,cambrell smart,cambrell,smart,2014-01-27,Male,1993-10-29,22,Less than 25,African-American,0,10,0,0,5,-91,2013-10-28 04:00:42,2013-10-29 04:10:51,13014176MM10A,,2013-12-18,40,M,arrest case no charge,1,15012428CF10A,(F3),,2015-08-25,False Imprisonment,,,,1,15012428CF10A,(F2),2015-08-25,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2014-01-27,Risk of Violence,6,Medium,2014-01-27,2014-06-28,2014-11-25,5,0,152,0,1,1 +4824,quavon moore,quavon,moore,2013-10-14,Male,1985-03-12,31,25 - 45,African-American,0,8,0,0,6,-39,2013-09-05 04:24:09,2013-09-24 10:11:00,13007122MM10A,,2013-09-05,39,M,arrest case no charge,1,16000353CF10A,(M1),0,2016-01-09,Battery,2016-01-09,2016-02-11,,1,16000353CF10A,(F3),2016-01-09,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2013-10-14,Risk of Violence,5,Medium,2013-10-14,2014-01-02,2014-01-10,6,0,80,0,0,0 +4827,lynell freeman,lynell,freeman,2013-04-18,Female,1959-10-21,56,Greater than 45,African-American,0,1,0,0,1,-1,2013-04-17 05:00:58,2013-04-18 05:52:26,13005508CF10A,2013-04-17,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-04-17,2013-04-18,1,0,1079,0,0,0 +4828,austin kanefsky,austin,kanefsky,2013-08-27,Male,1991-02-25,25,25 - 45,Caucasian,0,6,0,0,2,-29,2013-07-29 09:57:48,2013-08-27 10:56:42,13007305CF10A,,2013-08-13,14,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-27,Risk of Violence,5,Medium,2013-08-27,2013-07-29,2013-08-27,2,0,948,0,0,0 +4831,gian morales,gian,morales,2013-05-20,Male,1982-07-08,33,25 - 45,Caucasian,0,4,0,0,10,0,2013-05-20 02:19:52,2013-05-21 04:20:08,13009727MM10A,2013-05-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-20,Risk of Violence,2,Low,2013-05-20,2013-05-20,2013-05-21,10,1,1047,0,0,0 +4833,kevin lowe,kevin,lowe,2013-02-11,Male,1990-09-28,25,25 - 45,Caucasian,0,5,0,0,2,-1,2013-02-10 11:12:43,2013-02-12 12:21:21,13002073CF10A,2013-02-10,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-11,Risk of Violence,6,Medium,2013-02-11,2014-05-21,2014-07-16,2,1,464,0,0,0 +4834,miesha mills,miesha,mills,2013-05-05,Female,1988-04-29,27,25 - 45,African-American,0,5,0,0,3,-1,2013-05-04 06:24:35,2013-05-05 03:34:33,13006415CF10A,2013-05-04,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-05,Risk of Violence,3,Low,2013-05-05,2014-05-13,2014-05-20,3,0,373,0,0,0 +4835,steven moss,steven,moss,2013-04-02,Male,1978-07-10,37,25 - 45,African-American,0,10,0,0,1,-1,2013-04-01 05:11:13,2013-04-04 08:57:34,13004687CF10A,2013-04-01,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-02,Risk of Violence,10,High,2013-04-02,2013-08-28,2013-09-12,1,2,148,0,0,0 +4837,edward burks,edward,burks,2013-06-03,Male,1974-12-12,41,25 - 45,Caucasian,0,1,0,0,2,-3,2013-05-31 08:17:28,2013-06-01 08:45:39,13028890TC10A,,2013-05-31,3,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-03,Risk of Violence,1,Low,2013-06-03,2013-05-31,2013-06-01,2,0,1033,0,0,0 +4839,charles tarver,charles,tarver,2013-12-24,Male,1980-11-17,35,25 - 45,African-American,0,8,0,1,5,-19,2013-12-05 01:07:45,2013-12-11 11:57:00,13018015CF10A,2013-12-08,,16,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-24,Risk of Violence,5,Medium,2013-12-24,2014-03-26,2014-04-25,5,0,92,0,0,0 +4841,kenneth apollo,kenneth,apollo,2014-01-03,Male,1960-08-02,55,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-03 02:44:39,2014-01-05 08:46:26,14000129MM10A,2014-01-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-03,Risk of Violence,1,Low,2014-01-03,2014-01-03,2014-01-05,0,2,819,0,0,0 +4844,tamoy garwood,tamoy,garwood,2013-03-18,Female,1991-12-23,24,Less than 25,African-American,0,5,0,0,1,,,,11004198CF10A,,2011-06-29,628,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-18,Risk of Violence,5,Medium,2013-03-18,,,1,0,1110,0,0,0 +4845,christopher lloyd,christopher,lloyd,2013-10-04,Male,1990-02-14,26,25 - 45,African-American,0,2,0,0,2,0,2013-10-04 05:39:27,2013-10-08 01:24:50,13013952CF10A,2013-10-04,,0,F,Burglary Conveyance Unoccup,1,15004226MM10A,(M1),0,2015-04-13,Battery,2015-04-13,2015-06-18,,1,15004226MM10A,(M1),2015-04-13,Battery,Risk of Recidivism,2,Low,2013-10-04,Risk of Violence,3,Low,2013-10-04,2014-06-18,2014-06-24,2,4,257,0,1,1 +4846,suniel foskin,suniel,foskin,2013-05-22,Male,1981-01-15,35,25 - 45,African-American,0,3,0,0,7,-1,2013-05-21 06:58:18,2013-12-02 09:26:04,13004135CF10A,,2013-05-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,3,Low,2013-05-22,2013-05-21,2013-12-02,7,194,1045,0,0,0 +4847,tracy gallagher,tracy,gallagher,2013-02-16,Male,1966-04-01,50,Greater than 45,Caucasian,0,4,0,0,3,0,2013-02-16 05:51:43,2013-03-13 10:56:47,13003880MM10A,2013-02-16,,0,M,Reckless Driving,1,15001637CF10A,(F3),43,2015-01-07,Battery on a Person Over 65,2015-02-19,2015-02-20,,1,15001637CF10A,(F3),2015-01-07,Battery on a Person Over 65,Risk of Recidivism,4,Low,2013-02-16,Risk of Violence,6,Medium,2013-02-16,2013-02-16,2013-03-13,3,25,690,1,1,1 +4848,corey durpee,corey,durpee,2013-05-24,Male,1985-10-28,30,25 - 45,African-American,0,8,0,0,1,,,,10010372MM10A,2010-04-15,,1135,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-24,Risk of Violence,9,High,2013-05-24,,,1,0,1043,0,0,0 +4860,simone campbell,simone,campbell,2014-01-17,Female,1991-08-24,24,Less than 25,African-American,0,2,0,0,0,-1,2014-01-16 10:15:11,2014-01-17 01:26:50,14000840MM10A,2014-01-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-17,Risk of Violence,3,Low,2014-01-17,2014-01-16,2014-01-17,0,0,805,0,0,0 +4861,shem lampley,shem,lampley,2013-01-23,Male,1982-02-13,34,25 - 45,African-American,0,8,0,0,6,-1,2013-01-22 07:32:23,2013-02-05 07:22:29,11018844CF10A,,2013-01-22,1,F,arrest case no charge,1,13007122CF10A,(M1),1,2013-05-18,Unlaw Malic Strike K9/Horses,2013-05-19,2014-05-27,,1,13007122CF10A,(F2),2013-05-18,Agg Battery Grt/Bod/Harm,Risk of Recidivism,8,High,2013-01-23,Risk of Violence,9,High,2013-01-23,2013-04-20,2013-04-24,6,13,87,0,1,1 +4862,bernard andrews,bernard,andrews,2014-04-18,Male,1992-04-05,24,Less than 25,Other,0,8,0,0,3,-1,2014-04-17 09:15:00,2014-04-20 11:07:10,14006531MM10A,2014-04-17,,1,M,Battery,1,14002668MM40A,(M1),135,2014-06-11,Theft/To Deprive,2014-10-24,2014-11-01,,1,15000311MM10A,(M1),2014-12-13,Battery,Risk of Recidivism,8,High,2014-04-18,Risk of Violence,7,Medium,2014-04-18,2014-04-17,2014-04-20,3,2,54,1,1,1 +4864,casey herard,casey,herard,2013-02-14,Female,1985-08-05,30,25 - 45,African-American,0,6,1,0,4,-1,2013-02-13 11:45:50,2013-02-15 08:31:36,13002247CF10A,2013-02-13,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-14,Risk of Violence,2,Low,2013-02-14,2013-11-20,2013-12-21,4,1,279,0,0,0 +4865,andriane kirkpatrick,andriane,kirkpatrick,2013-02-14,Female,1980-10-14,35,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-14 04:49:00,2013-02-14 07:54:07,13003253MM10A,2013-02-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-14,Risk of Violence,1,Low,2013-02-14,2013-02-14,2013-02-14,0,0,1142,0,0,0 +4870,joshua dundis,joshua,dundis,2013-09-23,Male,1992-01-30,24,Less than 25,Caucasian,0,2,0,0,1,-8,2013-09-15 11:32:16,2013-09-18 09:20:54,13017572MM10A,2013-09-15,,8,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-09-15,2013-09-18,1,0,921,0,0,0 +4872,jonadia hyppolite,jonadia,hyppolite,2013-12-07,Female,1987-11-05,28,25 - 45,African-American,0,3,0,0,3,-1,2013-12-06 07:42:39,2013-12-07 08:47:36,13016906CF10A,2013-12-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-07,Risk of Violence,3,Low,2013-12-07,2013-12-06,2013-12-07,3,0,846,0,0,0 +4876,nezam alli,nezam,alli,2013-08-02,Male,1965-09-10,50,Greater than 45,Other,0,1,0,0,5,-91,2013-05-03 03:45:11,2013-08-02 10:31:12,12015804CF10A,,2013-05-03,91,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2013-05-03,2013-08-02,5,0,973,0,0,0 +4881,roderick ferguson,roderick,ferguson,2013-11-23,Male,1984-06-25,31,25 - 45,African-American,0,6,0,0,0,-1,2013-11-22 09:00:54,2013-11-24 09:02:53,13016288CF10A,2013-11-22,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-23,Risk of Violence,3,Low,2013-11-23,2014-02-17,2014-04-04,0,1,86,0,0,0 +4884,davis jirka,davis,jirka,2013-12-30,Male,1985-02-05,31,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-29 08:40:23,2013-12-30 08:05:20,14000105MM10A,2013-12-29,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-30,Risk of Violence,2,Low,2013-12-30,2013-12-29,2013-12-30,0,0,823,0,0,0 +4885,vanessa belotte,vanessa,belotte,2013-02-27,Female,1983-10-10,32,25 - 45,African-American,0,2,0,0,3,-1,2013-02-26 02:16:05,2013-03-28 10:47:42,13003010CF10A,,2013-02-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-27,Risk of Violence,2,Low,2013-02-27,2013-05-06,2013-05-07,3,29,68,0,0,0 +4887,frank schmidt,frank,schmidt,2013-06-10,Male,1987-03-20,29,25 - 45,Caucasian,0,5,0,0,6,-3,2013-06-07 12:58:38,2013-06-08 07:37:28,13008038CF10A,2013-06-06,,4,F,Possession of Hydromorphone,1,14011787CF10A,(M1),0,2014-08-29,Battery,2014-08-29,2014-09-30,,1,14011787CF10A,(M1),2014-08-29,Aggravated Battery / Pregnant,Risk of Recidivism,5,Medium,2013-06-10,Risk of Violence,2,Low,2013-06-10,2013-08-07,2013-08-30,6,0,58,0,1,1 +4888,pj lawton,pj,lawton,2013-01-31,Male,1956-06-22,59,Greater than 45,African-American,0,3,0,0,3,-8,2013-01-23 08:25:05,2013-01-31 10:46:32,12009951CF10A,,2013-01-23,8,F,arrest case no charge,1,15001535CF10A,(M1),0,2015-02-02,Possess Cannabis/20 Grams Or Less,2015-02-02,2015-02-03,,0,,,,,Risk of Recidivism,3,Low,2013-01-31,Risk of Violence,2,Low,2013-01-31,2015-02-02,2015-02-03,3,0,732,1,0,0 +4890,rivenson joseph,rivenson,joseph,2014-04-13,Male,1992-01-05,24,Less than 25,African-American,0,2,0,0,1,-1,2014-04-12 12:19:56,2014-04-13 09:21:08,14006232MM10A,2014-04-11,,2,M,Battery,1,15000217MM10A,(M1),0,2015-01-06,Battery,2015-01-06,2015-01-07,,1,15000217MM10A,(M1),2015-01-06,Battery,Risk of Recidivism,2,Low,2014-04-13,Risk of Violence,5,Medium,2014-04-13,2015-01-06,2015-01-07,1,0,268,1,1,1 +4891,kayla sutton,kayla,sutton,2013-05-22,Female,1988-11-12,27,25 - 45,Caucasian,0,4,0,0,1,-66,2013-03-17 06:36:07,2013-03-18 05:46:07,13003883CF10A,2013-03-17,,66,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,3,Low,2013-05-22,2014-07-29,2014-09-12,1,0,433,0,0,0 +4893,gervens souarin,gervens,souarin,2013-03-05,Male,1982-12-05,33,25 - 45,African-American,0,10,0,0,0,-1,2013-03-04 07:56:17,2013-07-24 07:34:26,13003247CF10A,2013-03-04,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-05,Risk of Violence,6,Medium,2013-03-05,2013-03-04,2013-07-24,0,141,1123,0,0,0 +4894,joyce jacques,joyce,jacques,2013-10-11,Female,1980-11-09,35,25 - 45,Other,0,1,0,0,0,-1,2013-10-10 04:48:42,2013-10-11 02:16:44,13019260MM10A,2013-10-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-11,Risk of Violence,1,Low,2013-10-11,2013-10-10,2013-10-11,0,0,903,0,0,0 +4900,louisette jean,louisette,jean,2013-07-29,Female,1975-12-09,40,25 - 45,Other,0,1,0,0,0,-4,2013-07-25 06:29:10,2013-07-29 11:27:13,13010446CF10A,,2013-07-25,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-25,2013-07-29,0,0,977,0,0,0 +4902,jose delacruz,jose,delacruz,2013-02-19,Male,1963-02-19,53,Greater than 45,Hispanic,0,2,0,0,3,,,,13003467MM10A,2013-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,,,3,0,1137,0,0,0 +4904,kevin grant,kevin,grant,2013-02-19,Male,1970-10-07,45,Greater than 45,Other,0,3,0,0,0,-1,2013-02-18 01:05:12,2013-02-19 06:50:04,13003464MM10A,2013-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,1,Low,2013-02-19,2013-02-18,2013-02-19,0,0,1137,0,0,0 +4906,vincent moorman,vincent,moorman,2013-02-12,Male,1991-09-05,24,Less than 25,African-American,1,9,0,1,9,-7,2013-02-05 02:02:29,2013-02-09 04:42:56,12009778MM10A,,2013-02-05,7,M,arrest case no charge,1,13006351CF10A,(M1),0,2013-05-03,Resist/Obstruct W/O Violence,2013-05-03,2014-02-23,,1,13006351CF10A,(F3),2013-05-03,Attempt Burglary (Struct),Risk of Recidivism,9,High,2013-02-12,Risk of Violence,7,Medium,2013-02-12,2013-05-03,2014-02-23,9,0,80,1,1,1 +4909,christian duranfernandez,christian,duranfernandez,2013-05-21,Male,1991-02-12,25,25 - 45,Hispanic,0,2,0,0,0,-1,2013-05-20 01:33:21,2013-05-24 05:02:36,13009737MM10A,2013-05-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-21,Risk of Violence,4,Low,2013-05-21,2013-05-20,2013-05-24,0,3,1046,0,0,0 +4911,doll pierre louis,doll,pierre louis,2014-03-11,Male,1991-10-23,24,Less than 25,African-American,0,9,0,0,0,-1,2014-03-10 02:01:58,2014-03-11 10:42:11,14003387CF10A,2014-03-10,,1,F,"Possession Of 3,4Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-11,Risk of Violence,9,High,2014-03-11,2014-03-10,2014-03-11,0,0,752,0,0,0 +4912,david cuellar,david,cuellar,2013-04-06,Male,1993-02-28,23,Less than 25,Hispanic,0,8,0,0,6,-1,2013-04-05 03:50:59,2013-05-09 09:31:20,13006559MM10A,2013-04-05,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-06,Risk of Violence,5,Medium,2013-04-06,2013-04-05,2013-05-09,6,33,1091,0,0,0 +4914,david kennedy,david,kennedy,2013-08-22,Male,1993-01-07,23,Less than 25,African-American,0,8,1,0,7,-1,2013-08-21 01:25:33,2013-08-22 06:49:00,13011767CF10A,2013-08-21,,1,F,Carrying Concealed Firearm,1,14009472MM10A,(M1),,2014-04-03,Battery,,,,1,14009472MM10A,(M1),2014-04-03,Battery,Risk of Recidivism,8,High,2013-08-22,Risk of Violence,7,Medium,2013-08-22,2016-03-28,2016-04-01,7,0,224,1,1,1 +4917,nancy gayoso,nancy,gayoso,2013-08-02,Female,1968-04-23,47,Greater than 45,Hispanic,0,1,0,0,2,,,,03004219CF10A,,2003-03-08,3800,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,,,2,0,973,0,0,0 +4921,carlos posada,carlos,posada,2013-09-16,Male,1967-05-05,48,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-09-15 12:13:53,2013-09-15 01:11:55,13017544MM10A,2013-09-14,,2,M,DUI/Property Damage/Persnl Inj,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-09-15,2013-09-15,0,0,928,0,0,0 +4922,omar perez,omar,perez,2013-10-14,Male,1980-07-18,35,25 - 45,Hispanic,0,2,0,0,0,,,,13019406MM10A,2013-10-13,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,,,0,0,900,0,0,0 +4925,peter accetta,peter,accetta,2013-03-30,Male,1954-01-27,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-29 11:06:18,2013-03-30 08:00:38,13004542CF10A,2013-03-29,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-29,2013-03-30,0,0,1098,0,0,0 +4926,rodney smith,rodney,smith,2013-10-31,Male,1964-01-13,52,Greater than 45,African-American,0,3,0,0,19,,,,12008902CF10A,,2012-11-16,349,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-31,Risk of Violence,1,Low,2013-10-31,2006-09-05,2009-04-26,19,0,883,0,0,0 +4928,junior bouquette,junior,bouquette,2013-03-22,Male,1990-08-10,25,25 - 45,Other,0,3,0,0,1,-1,2013-03-21 07:26:42,2013-03-22 10:25:37,13004115CF10A,2013-03-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,3,Low,2013-03-22,2015-10-01,2015-10-19,1,0,923,0,0,0 +4929,anthony mitchell,anthony,mitchell,2013-02-21,Male,1967-03-31,49,Greater than 45,African-American,0,7,0,0,1,-1,2013-02-20 01:41:20,2013-03-02 09:15:54,13005582MM10A,2013-02-20,,1,M,Assault,1,16002152MM10A,(M1),0,2016-03-05,Battery,2016-03-05,2016-03-17,,1,16002152MM10A,(M1),2016-03-05,Battery,Risk of Recidivism,7,Medium,2013-02-21,Risk of Violence,4,Low,2013-02-21,2014-01-26,2014-01-31,1,9,339,0,0,0 +4931,stephen cotillo,stephen,cotillo,2014-01-27,Male,1965-08-16,50,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-27 06:59:07,2014-03-04 01:51:57,14001186CF10A,2014-01-27,,0,F,Felony Battery (Dom Strang),1,14004278CF10A,(F3),0,2014-03-26,Felony Battery (Dom Strang),2014-03-26,2014-06-13,,1,14004278CF10A,(F3),2014-03-26,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-03-26,2014-06-13,0,36,58,1,1,1 +4933,brian willoughby,brian,willoughby,2013-08-02,Male,1978-11-07,37,25 - 45,African-American,0,8,0,0,14,-1,2013-08-01 07:15:54,2013-08-02 08:36:19,13010768CF10A,2013-08-01,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-02,Risk of Violence,3,Low,2013-08-02,2013-08-01,2013-08-02,14,0,973,0,0,0 +4934,erick dygert,erick,dygert,2013-02-04,Male,1989-04-27,26,25 - 45,Caucasian,0,2,0,0,0,0,2013-02-04 05:18:52,2013-02-05 08:10:46,13002544MM10A,2013-02-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,3,Low,2013-02-04,2013-02-04,2013-02-05,0,1,1152,0,0,0 +4935,brian semil,brian,semil,2013-01-14,Male,1987-10-08,28,25 - 45,African-American,0,10,2,0,21,-1,2013-01-13 07:08:36,2013-01-14 08:33:28,13000613CF10A,2013-01-13,,1,F,Driving While License Revoked,1,15002657CF10A,(F3),1,2015-02-25,Burglary Conveyance Unoccup,2015-02-26,2015-03-08,,1,15002657CF10A,(M1),2015-02-25,Battery,Risk of Recidivism,10,High,2013-01-14,Risk of Violence,10,High,2013-01-14,2015-03-11,2015-06-25,21,0,772,1,0,0 +4937,donovan elliott,donovan,elliott,2013-03-18,Male,1967-10-17,48,Greater than 45,Other,0,2,0,0,4,-1,2013-03-17 04:45:11,2013-03-18 07:05:54,13003891CF10A,2013-03-17,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-17,2013-03-18,4,0,1110,0,0,0 +4938,chevane robinson,chevane,robinson,2014-01-06,Male,1991-04-07,25,25 - 45,African-American,0,4,0,0,1,-80,2013-10-18 01:38:25,2013-10-19 02:03:28,13014562CF10A,2013-10-17,,81,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-06,Risk of Violence,4,Low,2014-01-06,2015-01-02,2015-01-09,1,0,361,0,0,0 +4939,romaine plummer,romaine,plummer,2013-08-20,Male,1995-06-18,20,Less than 25,African-American,0,8,1,0,1,0,2013-08-20 02:40:22,2013-08-20 07:11:30,13011669CF10A,2013-08-19,,1,F,Grand Theft (Motor Vehicle),1,13012019CF10A,(F1),2,2013-08-24,Armed Carjacking,2013-08-26,2014-07-31,,1,13012019CF10A,(F1),2013-08-24,Armed Carjacking,Risk of Recidivism,8,High,2013-08-20,Risk of Violence,10,High,2013-08-20,2014-07-31,2020-01-01,1,0,4,1,1,1 +4941,robert leon,robert,leon,2013-08-24,Male,1989-10-25,26,25 - 45,Hispanic,0,1,0,0,1,-1,2013-08-23 11:30:03,2013-08-25 03:40:23,13016179MM10A,2013-08-23,,1,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-24,Risk of Violence,2,Low,2013-08-24,2013-08-23,2013-08-25,1,1,951,0,0,0 +4948,michael liberatore,michael,liberatore,2013-03-09,Male,1986-11-14,29,25 - 45,Caucasian,0,4,0,0,1,-1,2013-03-08 03:18:08,2013-03-22 08:45:58,13003457CF10A,2013-03-08,,1,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-09,Risk of Violence,2,Low,2013-03-09,2013-03-08,2013-03-22,1,13,1119,0,0,0 +4949,shawn garner,shawn,garner,2014-01-04,Male,1969-11-08,46,Greater than 45,Caucasian,0,4,0,0,4,0,2014-01-04 02:43:27,2014-01-05 08:14:11,14000155CF10A,2014-01-04,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-04,Risk of Violence,1,Low,2014-01-04,2014-01-04,2014-01-05,4,1,818,0,0,0 +4950,aslet augustin,aslet,augustin,2013-01-07,Male,1991-09-19,24,Less than 25,African-American,0,4,0,0,0,0,2013-01-07 03:32:06,2013-01-08 02:56:38,13000272CF10A,2013-01-07,,0,F,Pos Cannabis W/Intent Sel/Del,1,15001016MM20A,(M2),,2015-03-28,Petit Theft,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-07,Risk of Violence,5,Medium,2013-01-07,2013-01-07,2013-01-08,0,1,810,1,0,0 +4951,maria garcia,maria,garcia,2014-03-17,Female,1964-09-11,51,Greater than 45,Hispanic,0,1,0,0,2,0,2014-03-17 06:13:55,2014-03-17 08:07:49,14004626MM10A,2014-03-17,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-17,2014-03-17,2,0,746,0,0,0 +4956,cornelius jones,cornelius,jones,2013-02-23,Male,1987-04-19,29,25 - 45,African-American,0,8,0,0,5,0,2013-02-23 02:42:31,2013-02-24 03:36:20,13002779CF10A,2013-02-23,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-23,Risk of Violence,4,Low,2013-02-23,2013-09-02,2013-10-27,5,1,191,0,0,0 +4959,george rodriguez,george,rodriguez,2014-01-04,Male,1959-05-14,56,Greater than 45,Hispanic,0,2,0,0,10,-1,2014-01-03 11:38:48,2014-01-16 12:08:40,14000149MM10A,2014-01-03,,1,M,Battery,1,15001201CF10A,(F3),,2015-01-26,Battery on Law Enforc Officer,,,,1,15001201CF10A,(F3),2015-01-26,Battery on Law Enforc Officer,Risk of Recidivism,2,Low,2014-01-04,Risk of Violence,1,Low,2014-01-04,2014-01-03,2014-01-16,10,12,387,1,1,1 +4962,manuel camposeco-mendez,manuel,camposeco-mendez,2013-07-25,Male,1985-02-03,31,25 - 45,Hispanic,0,2,0,0,1,-75,2013-05-11 07:52:30,2013-05-14 11:01:18,13009129MM10A,2013-05-11,,75,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-25,Risk of Violence,1,Low,2013-07-25,2013-05-11,2013-05-14,1,0,981,0,0,0 +4965,rochilun manasse,rochilun,manasse,2013-08-19,Male,1968-04-02,48,Greater than 45,Other,0,1,0,0,0,-1,2013-08-18 06:22:59,2013-08-19 05:44:31,13015630MM10A,2013-08-18,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-19,0,0,956,0,0,0 +4968,nathaniel ward,nathaniel,ward,2013-06-26,Male,1948-04-05,68,Greater than 45,African-American,0,2,0,0,1,-37,2013-05-20 07:22:20,2013-06-15 12:40:01,13007185CF10A,,2013-05-20,37,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-26,Risk of Violence,1,Low,2013-06-26,2013-05-20,2013-06-15,1,0,1010,0,0,0 +4969,jamal jones,jamal,jones,2013-10-02,Male,1992-03-26,24,Less than 25,African-American,0,4,0,0,1,-1,2013-10-01 03:10:38,2013-10-02 07:32:09,13018696MM10A,2013-10-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-02,Risk of Violence,4,Low,2013-10-02,2013-10-01,2013-10-02,1,0,912,0,0,0 +4970,timar honewell,timar,honewell,2013-10-02,Male,1983-11-14,32,25 - 45,African-American,0,2,0,0,1,-1,2013-10-01 06:53:20,2013-10-02 04:24:04,13013789CF10A,,2013-10-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,2,Low,2013-10-02,2013-10-01,2013-10-02,1,0,912,0,0,0 +4972,fausto zepeda,fausto,zepeda,2013-10-01,Male,1959-06-29,56,Greater than 45,Hispanic,0,1,0,0,4,,,,10006540CF10B,2010-04-13,,1267,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,,,4,0,913,0,0,0 +4978,denzel obrien,denzel,obrien,2013-04-28,Male,1991-01-08,25,25 - 45,African-American,0,3,0,0,1,-1,2013-04-27 05:25:08,2013-04-28 01:21:18,10010032CF10A,,2013-04-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-28,Risk of Violence,6,Medium,2013-04-28,2014-04-29,2014-07-11,1,0,366,0,0,0 +4980,xavier serrano,xavier,serrano,2013-12-05,Male,1986-09-12,29,25 - 45,Caucasian,0,3,0,0,1,-1,2013-12-04 08:04:24,2014-01-16 11:00:21,13022549MM10A,2013-12-04,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-05,Risk of Violence,2,Low,2013-12-05,2013-12-04,2014-01-16,1,42,848,0,0,0 +4982,franklin cedeno,franklin,cedeno,2013-08-11,Male,1977-12-30,38,25 - 45,Caucasian,0,1,0,0,2,-1,2013-08-10 01:32:23,2013-08-11 07:07:19,13015105MM10A,2013-08-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-11,Risk of Violence,2,Low,2013-08-11,2013-08-10,2013-08-11,2,0,964,0,0,0 +4993,jamie osorio,jamie,osorio,2013-02-01,Male,1963-07-26,52,Greater than 45,Hispanic,0,4,0,0,3,-1,2013-01-31 10:43:21,2013-02-14 06:00:43,13001559CF10A,2013-01-31,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,3,Low,2013-02-01,2015-04-21,2016-03-30,3,13,809,0,0,0 +4995,raymond manganiotis,raymond,manganiotis,2013-06-21,Male,1963-01-25,53,Greater than 45,Caucasian,0,-1,0,0,3,-10,2013-06-11 02:07:31,2013-06-21 05:30:17,13008275CF10A,2013-06-10,,11,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,-1,N/A,2013-06-21,Risk of Violence,4,Low,2013-06-21,2013-06-11,2013-06-21,3,0,1015,0,0,0 +4996,carlos ramos,carlos,ramos,2013-11-12,Male,1989-02-18,27,25 - 45,Caucasian,0,1,0,0,1,0,2013-11-12 01:08:55,2013-11-13 02:28:14,13015698CF10A,2013-11-11,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-12,Risk of Violence,2,Low,2013-11-12,2013-11-12,2013-11-13,1,1,871,0,0,0 +4998,john intindola,john,intindola,2013-05-16,Male,1982-08-03,33,25 - 45,Caucasian,0,2,0,0,1,-1,2013-05-15 06:27:22,2013-05-16 04:09:53,13006957CF10A,,2013-05-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-16,Risk of Violence,2,Low,2013-05-16,2013-05-15,2013-05-16,1,0,1051,0,0,0 +5009,samia aviles,samia,aviles,2013-10-27,Female,1987-03-11,29,25 - 45,Caucasian,0,2,0,0,0,-1,2013-10-26 05:21:11,2013-10-28 03:08:35,13020331MM10A,2013-10-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-27,Risk of Violence,2,Low,2013-10-27,2013-10-26,2013-10-28,0,1,887,0,0,0 +5010,cori butler,cori,butler,2013-06-05,Male,1977-07-05,38,25 - 45,African-American,0,9,0,0,19,-4,2013-06-01 09:43:13,2013-06-02 08:07:58,13007397CF10A,,2013-06-01,4,F,arrest case no charge,1,13014308CF10A,(F3),0,2013-10-12,Possession of Cocaine,2013-10-12,2013-10-12,,1,13016265CF10A,(F2),2013-11-22,Throw Deadly Missile Into Veh,Risk of Recidivism,9,High,2013-06-05,Risk of Violence,5,Medium,2013-06-05,2013-08-23,2013-08-25,19,0,79,0,1,1 +5012,william calder,william,calder,2013-04-08,Male,1986-08-02,29,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-07 09:28:07,2013-04-08 07:50:27,13006655MO10A,2013-04-07,,1,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-07,2013-04-08,0,0,1089,0,0,0 +5020,nathaniel adderly,nathaniel,adderly,2014-01-18,Male,1974-11-12,41,25 - 45,African-American,0,7,0,0,0,-1,2014-01-17 10:36:32,2014-01-18 01:22:01,14000775CF10A,2014-01-17,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-18,Risk of Violence,1,Low,2014-01-18,2014-01-17,2014-01-18,0,0,804,0,0,0 +5022,tarzan saulsby,tarzan,saulsby,2013-04-11,Male,1956-07-27,59,Greater than 45,African-American,0,4,0,0,8,-1,2013-04-10 05:27:44,2013-04-15 09:13:23,13005158CF10A,2013-04-10,,1,F,Possession of Cocaine,1,15007826CF10A,(F3),0,2015-06-17,Possession of Cocaine,2015-06-17,2015-10-11,,0,,,,,Risk of Recidivism,4,Low,2013-04-11,Risk of Violence,2,Low,2013-04-11,2014-02-19,2014-03-01,8,4,314,0,0,0 +5023,christian torres,christian,torres,2013-12-13,Male,1994-10-04,21,Less than 25,Caucasian,0,4,0,0,1,-1,2013-12-12 11:06:24,2013-12-13 01:47:07,13023012MM10A,2013-12-12,,1,M,Battery,1,14008832MM10A,(M1),0,2014-06-03,Battery,2014-06-03,2014-06-04,,1,14008832MM10A,(M1),2014-06-03,Battery,Risk of Recidivism,4,Low,2013-12-13,Risk of Violence,7,Medium,2013-12-13,2014-06-03,2014-06-04,1,0,172,1,1,1 +5033,cian campbell,cian,campbell,2014-03-04,Male,1985-07-09,30,25 - 45,African-American,0,1,0,0,0,-1,2014-03-03 02:22:21,2014-03-04 10:10:53,14003014CF10A,2014-03-02,,2,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-04,Risk of Violence,2,Low,2014-03-04,2014-03-03,2014-03-04,0,0,759,0,0,0 +5035,james reeves,james,reeves,2013-04-06,Male,1972-07-21,43,25 - 45,Caucasian,0,5,0,0,4,-1,2013-04-05 10:35:56,2013-05-23 07:05:55,13004902CF10A,2013-04-05,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-06,Risk of Violence,1,Low,2013-04-06,2013-04-05,2013-05-23,4,47,1091,0,0,0 +5037,tess giesen,tess,giesen,2014-01-09,Female,1991-07-12,24,Less than 25,Caucasian,0,9,0,1,2,-2,2014-01-07 05:06:31,2014-01-07 08:45:09,14000267CF10A,2014-01-06,,3,F,Obtain Control Substance By Fraud,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-09,Risk of Violence,4,Low,2014-01-09,2014-01-07,2014-01-07,2,0,813,0,0,0 +5042,napoleon culver,napoleon,culver,2013-05-26,Male,1971-01-12,45,Greater than 45,African-American,0,7,0,0,13,-1,2013-05-25 08:32:38,2013-05-31 11:05:15,13010055MM10A,2013-05-25,,1,M,Viol Injunction Protect Dom Vi,1,15005663CF10A,(F3),1,2015-04-29,Felony Battery w/Prior Convict,2015-04-30,2015-04-30,,1,15005663CF10A,(F3),2015-04-29,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-05-26,Risk of Violence,6,Medium,2013-05-26,2013-06-13,2013-08-08,13,5,18,0,1,1 +5043,omar yunis,omar,yunis,2013-01-03,Male,1992-08-29,23,Less than 25,Caucasian,0,9,0,1,0,0,2013-01-03 12:02:47,2013-01-22 08:41:13,13000075CF10A,2013-01-02,,1,F,False Imprisonment,1,14008442MM10A,(M1),1,2014-05-26,Battery,2014-05-27,2014-06-06,,1,14008442MM10A,(M1),2014-05-26,Battery,Risk of Recidivism,9,High,2013-01-03,Risk of Violence,9,High,2013-01-03,2013-01-03,2013-01-22,0,19,508,1,1,1 +5045,karen darnell,karen,darnell,2013-07-18,Female,1976-02-20,40,25 - 45,Caucasian,0,10,0,0,5,16,2013-08-03 02:48:08,2013-09-27 10:30:43,12004314CF10A,2012-03-22,,483,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-07-18,Risk of Violence,3,Low,2013-07-18,2013-08-03,2013-09-27,5,0,16,0,0,0 +5046,nashavia hemingway,nashavia,hemingway,2013-10-29,Female,1992-11-05,23,Less than 25,African-American,0,7,0,0,0,-1,2013-10-28 05:52:52,2013-10-30 12:28:17,13015043CF10A,2013-10-28,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,6,Medium,2013-10-29,2013-10-28,2013-10-30,0,1,885,0,0,0 +5047,cipher allah,cipher,allah,2013-03-22,Male,1976-12-13,39,25 - 45,African-American,0,2,0,0,3,-1,2013-03-21 03:33:14,2013-03-22 09:40:17,13004088CF10A,,2013-03-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-22,Risk of Violence,3,Low,2013-03-22,2013-03-21,2013-03-22,3,0,1106,0,0,0 +5049,jennifer nguyen,jennifer,nguyen,2013-07-08,Female,1989-05-04,26,25 - 45,Caucasian,0,2,0,0,0,-2,2013-07-06 01:41:52,2013-07-06 09:09:51,13012793MM10A,2013-07-05,,3,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-08,Risk of Violence,2,Low,2013-07-08,2013-07-06,2013-07-06,0,0,998,0,0,0 +5050,tevin williams,tevin,williams,2013-08-06,Male,1994-08-24,21,Less than 25,African-American,0,4,0,0,0,0,2013-08-06 03:34:21,2013-08-07 08:33:52,13014863MM10A,2013-08-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-06,Risk of Violence,6,Medium,2013-08-06,2013-08-06,2013-08-07,0,1,969,0,0,0 +5051,steven grimmer,steven,grimmer,2013-03-05,Male,1985-12-26,30,25 - 45,Caucasian,0,3,1,1,3,-1,2013-03-04 02:15:12,2013-05-08 10:08:45,13003259CF10A,2013-03-04,,1,F,Tampering with a Victim,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-05,Risk of Violence,3,Low,2013-03-05,2013-03-04,2013-05-08,3,64,1123,0,0,0 +5052,amer raja,amer,raja,2013-09-04,Male,1972-04-01,44,25 - 45,Caucasian,0,4,0,0,0,0,2013-09-04 12:17:51,2013-09-16 07:36:54,13012428CF10A,2013-09-03,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-04,2013-09-16,0,12,940,0,0,0 +5054,joseph maquez,joseph,maquez,2013-02-14,Male,1992-11-15,23,Less than 25,African-American,0,4,0,0,0,-1,2013-02-13 09:00:36,2013-02-15 05:30:29,13003188MM10A,2013-02-13,,1,M,Lewdness Violation,1,15018235TC40A,(M2),,2015-03-06,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-14,Risk of Violence,5,Medium,2013-02-14,2013-02-13,2013-02-15,0,1,750,1,0,0 +5057,jondra grier,jondra,grier,2014-02-04,Female,1966-09-27,49,Greater than 45,African-American,0,1,0,0,1,-1,2014-02-03 05:28:44,2014-02-04 01:31:25,14001512CF10A,2014-02-03,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-03,2014-02-04,1,0,787,0,0,0 +5064,joshua flewellyn,joshua,flewellyn,2013-10-04,Male,1987-04-29,28,25 - 45,Caucasian,0,2,0,0,2,-1,2013-10-03 03:57:15,2013-10-13 05:03:29,13008300CF10A,,2013-10-03,1,F,arrest case no charge,1,14069451TC20A,(M2),,2014-10-02,Operating W/O Valid License,,,,1,14014624MM10A,(M1),2014-10-05,Battery,Risk of Recidivism,2,Low,2013-10-04,Risk of Violence,3,Low,2013-10-04,2013-10-03,2013-10-13,2,9,363,1,1,1 +5065,christopher sternberg,christopher,sternberg,2013-10-08,Male,1973-09-22,42,25 - 45,Caucasian,0,4,0,0,2,-43,2013-08-26 07:56:02,2013-10-06 06:12:54,13016328MM10A,2013-08-26,,43,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-08,Risk of Violence,5,Medium,2013-10-08,2013-08-26,2013-10-06,2,0,906,0,0,0 +5066,youvens horace,youvens,horace,2013-04-07,Male,1992-05-15,23,Less than 25,Other,0,6,2,0,7,0,2013-04-07 03:12:39,2013-04-16 10:03:25,13004966CF10A,2013-04-06,,1,F,Carrying Concealed Firearm,1,13014105MM10A,(M1),0,2013-07-25,Resist/Obstruct W/O Violence,2013-07-25,2013-07-31,,1,14010273CF10A,(F2),2014-07-26,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-04-07,Risk of Violence,8,High,2013-04-07,2013-07-25,2013-07-31,7,9,109,1,1,1 +5067,johnna jones,johnna,jones,2014-08-10,Female,1991-09-04,24,Less than 25,African-American,0,6,0,0,2,-1,2014-08-09 08:59:23,2014-08-10 09:28:19,14010851CF10A,2014-08-09,,1,F,Felony Driving While Lic Suspd,1,15000271MM30A,(M1),,2015-01-11,Possess Drug Paraphernalia,,,,1,15015879CF10A,(F7),2015-12-10,Burglary Dwelling Armed,Risk of Recidivism,6,Medium,2014-08-10,Risk of Violence,4,Low,2014-08-10,2014-08-09,2014-08-10,2,0,154,1,1,1 +5068,jarod singh,jarod,singh,2014-01-22,Male,1984-06-26,31,25 - 45,Caucasian,0,7,0,0,0,0,2014-01-22 12:19:55,2014-01-22 08:35:10,14000913CF10A,2014-01-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-22,Risk of Violence,6,Medium,2014-01-22,2014-01-22,2014-01-22,0,0,800,0,0,0 +5071,daniel reid,daniel,reid,2013-04-08,Male,1990-08-28,25,25 - 45,African-American,0,2,0,0,1,-1,2013-04-07 08:23:40,2013-04-08 07:34:25,13004984CF10A,,2013-04-07,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-12-19,2014-04-16,1,0,255,0,0,0 +5073,john walker,john,walker,2013-10-02,Male,1960-08-31,55,Greater than 45,African-American,0,2,0,0,12,,,,09013094CF10A,,2010-08-06,1153,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,1998-12-01,2001-06-08,12,0,912,0,0,0 +5075,steven toussaint,steven,toussaint,2013-01-13,Male,1989-08-25,26,25 - 45,African-American,1,10,3,0,24,-1,2013-01-12 11:37:16,2013-04-08 08:36:41,13000716MM10A,2013-01-12,,1,M,Resist/Obstruct W/O Violence,1,14007646CF10A,(F3),,2014-04-02,Fleeing Or Attmp Eluding A Leo,,,,1,14007646CF10A,(F2),2014-04-01,Agg Assault Law Enforc Officer,Risk of Recidivism,10,High,2013-01-13,Risk of Violence,10,High,2013-01-13,2013-01-12,2013-04-08,24,85,444,1,1,1 +5078,sophie robinson,sophie,robinson,2013-04-18,Male,1988-07-24,27,25 - 45,African-American,0,7,0,0,1,-1,2013-04-17 10:42:28,2013-04-23 07:14:50,12015243CF10A,,2013-04-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-18,Risk of Violence,4,Low,2013-04-18,2013-04-17,2013-04-23,1,5,1079,0,0,0 +5079,bowie balentine,bowie,balentine,2013-09-05,Male,1990-01-24,26,25 - 45,Caucasian,0,2,0,0,3,-123,2013-05-05 06:10:13,2013-05-06 07:43:27,13008695MM10A,2013-05-05,,123,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-05-05,2013-05-06,3,0,939,0,0,0 +5084,regina battle,regina,battle,2013-01-01,Female,1988-06-28,27,25 - 45,African-American,0,4,0,0,0,,,,13000002MM10A,2012-12-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-01,Risk of Violence,3,Low,2013-01-01,,,0,0,1186,0,0,0 +5086,zeke zikria,zeke,zikria,2013-04-26,Male,1969-11-11,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-25 05:09:02,2013-04-27 04:59:30,13005960CF10A,2013-04-25,,1,F,Possession of Cocaine,1,15006848CF10A,(M1),1,2015-05-25,Resist/Obstruct W/O Violence,2015-05-26,2015-05-27,,1,15006848CF10A,(F3),2015-05-25,Battery on Law Enforc Officer,Risk of Recidivism,1,Low,2013-04-26,Risk of Violence,1,Low,2013-04-26,2013-09-24,2013-10-01,0,1,151,0,0,0 +5088,lizzette graf,lizzette,graf,2013-02-10,Female,1977-12-12,38,25 - 45,Caucasian,0,6,0,0,1,-1,2013-02-09 03:23:30,2013-02-10 08:17:31,13002923MM10A,2013-02-09,,1,M,Battery,1,14007946MM10A,(M1),1,2014-05-14,Resist/Obstruct W/O Violence,2014-05-15,2014-05-15,,1,14010189CF10A,(M1),2014-07-26,Battery,Risk of Recidivism,6,Medium,2013-02-10,Risk of Violence,4,Low,2013-02-10,2014-07-26,2014-08-29,1,0,458,1,1,1 +5094,lakeinyas david,lakeinyas,david,2013-02-13,Female,1992-01-17,24,Less than 25,African-American,0,5,0,0,0,-1,2013-02-12 11:40:28,2013-02-13 10:02:55,13003103MM10A,2013-02-12,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-13,Risk of Violence,5,Medium,2013-02-13,2013-02-12,2013-02-13,0,0,1143,0,0,0 +5096,romania graham,romania,graham,2014-03-23,Female,1977-08-24,38,25 - 45,African-American,0,4,0,0,0,-1,2014-03-22 09:07:19,2014-03-23 09:07:42,14005138MM10A,2014-03-22,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-23,0,0,740,0,0,0 +5099,cornelius toney,cornelius,toney,2013-11-24,Male,1968-03-12,48,Greater than 45,African-American,0,3,0,0,6,-1,2013-11-23 10:19:26,2013-11-25 03:46:03,11020634CF10A,,2013-11-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-24,Risk of Violence,2,Low,2013-11-24,2013-11-23,2013-11-25,6,1,859,0,0,0 +5103,robert rodriguez,robert,rodriguez,2013-11-06,Male,1986-01-14,30,25 - 45,Hispanic,0,9,0,0,7,-1,2013-11-05 01:13:15,2013-11-06 08:26:17,13015426CF10A,2013-11-05,,1,F,Agg Assault W/int Com Fel Dome,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-06,Risk of Violence,7,Medium,2013-11-06,2013-11-05,2013-11-06,7,0,877,0,0,0 +5107,kendrick edwards,kendrick,edwards,2013-02-14,Male,1988-07-21,27,25 - 45,African-American,0,10,0,0,8,53,2013-04-08 11:15:07,2013-05-06 02:00:57,11014296CF10A,,2012-04-26,294,F,arrest case no charge,1,13008051MM10A,(M2),0,2013-04-08,Petit Theft,2013-04-08,2013-05-06,,1,13019631MM10A,(M1),2013-10-16,Battery,Risk of Recidivism,10,High,2013-02-14,Risk of Violence,9,High,2013-02-14,2013-04-08,2013-05-06,8,0,53,1,1,1 +5108,terry spunger,terry,spunger,2013-03-01,Male,1961-02-05,55,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-01 04:41:49,2013-03-02 05:03:07,13004220MM10A,2013-03-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-02,0,1,1127,0,0,0 +5111,rashaun dubose,rashaun,dubose,2013-02-07,Male,1990-12-24,25,25 - 45,African-American,0,3,0,0,1,,,,12015375CF10A,2012-10-17,,113,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-07,Risk of Violence,4,Low,2013-02-07,,,1,0,1149,0,0,0 +5112,ferondo randall,ferondo,randall,2014-07-29,Male,1975-07-23,40,25 - 45,African-American,0,7,0,0,5,0,2014-07-29 01:35:57,2014-08-28 10:17:57,07022329CF10A,,2009-03-06,1971,F,arrest case no charge,1,16000806CF10A,(F3),,2015-09-21,Grand Theft in the 3rd Degree,,,,1,16002009CF10A,(F7),2016-02-17,Armed Sex Batt/vict 12 Yrs +,Risk of Recidivism,7,Medium,2014-07-29,Risk of Violence,7,Medium,2014-07-29,2014-07-29,2014-08-28,5,30,419,1,1,1 +5118,alfred tucker,alfred,tucker,2013-09-20,Male,1982-09-26,33,25 - 45,Native American,1,7,0,0,9,72,2013-12-01 02:12:39,2014-01-24 08:43:45,13008048CF10A,2013-06-06,,106,M,Aggravated Battery,1,13016642CF10A,(M1),0,2013-12-01,Resist/Obstruct W/O Violence,2013-12-01,2014-01-24,,1,13016642CF10A,(F3),2013-12-01,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-09-20,Risk of Violence,9,High,2013-09-20,2013-12-01,2014-01-24,9,0,72,1,1,1 +5120,donnalie higgs,donnalie,higgs,2013-01-10,Female,1959-03-04,57,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-09 11:18:00,2013-03-28 04:57:43,13000533MM10A,2013-01-09,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-10,Risk of Violence,1,Low,2013-01-10,2013-01-09,2013-03-28,0,77,1177,0,0,0 +5121,adrian grey,adrian,grey,2013-09-17,Male,1990-05-04,25,25 - 45,African-American,0,2,0,0,0,-1,2013-09-16 02:13:27,2013-09-23 08:24:38,13017637MM10A,2013-09-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-17,Risk of Violence,4,Low,2013-09-17,2013-09-16,2013-09-23,0,6,927,0,0,0 +5123,wisler isme,wisler,isme,2013-09-20,Male,1985-02-21,31,25 - 45,African-American,0,3,0,0,3,-1,2013-09-19 06:33:00,2013-10-05 01:36:21,13013231CF10A,2013-09-19,,1,F,Burglary Dwelling Assault/Batt,1,14007318MM10A,(M1),0,2014-05-02,Viol Injunct Domestic Violence,2014-05-02,2014-05-03,,1,14009103CF10A,(F2),2014-06-23,Neglect Child / Bodily Harm,Risk of Recidivism,3,Low,2013-09-20,Risk of Violence,2,Low,2013-09-20,2014-05-02,2014-05-03,3,15,224,1,1,1 +5126,michael fashaw,michael,fashaw,2014-02-03,Male,1972-06-18,43,25 - 45,African-American,0,4,0,0,7,0,2014-02-03 05:06:08,2014-02-04 02:56:14,13015886CF10A,,2014-02-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-03,Risk of Violence,3,Low,2014-02-03,2014-02-03,2014-02-04,7,1,788,0,0,0 +5127,marissa guedes,marissa,guedes,2013-11-18,Female,1990-07-19,25,25 - 45,Caucasian,0,4,0,0,0,-1,2013-11-17 11:43:24,2013-11-18 08:05:43,13021622MM10A,2013-11-17,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-18,Risk of Violence,3,Low,2013-11-18,2015-11-11,2015-11-16,0,0,723,0,0,0 +5128,jose gomez,jose,gomez,2013-01-14,Male,1977-02-02,39,25 - 45,Hispanic,0,2,0,0,1,-1,2013-01-13 11:17:44,2013-01-14 06:32:32,13000794MM10A,2013-01-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,2,Low,2013-01-14,2013-01-13,2013-01-14,1,0,1173,0,0,0 +5130,dorjan williams,dorjan,williams,2013-09-11,Male,1975-12-12,40,25 - 45,African-American,0,1,0,0,1,-1,2013-09-10 09:23:16,2013-09-12 05:32:53,13012795CF10A,2013-09-10,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2013-09-10,2013-09-12,1,1,933,0,0,0 +5132,freddie lockhart,freddie,lockhart,2013-01-16,Male,1980-06-18,35,25 - 45,African-American,0,7,0,0,2,-1,2013-01-15 12:23:05,2013-01-16 06:52:56,13001004MM10A,2013-01-15,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-16,Risk of Violence,4,Low,2013-01-16,2013-01-15,2013-01-16,2,0,1171,0,0,0 +5142,stephanie hardy,stephanie,hardy,2013-12-06,Female,1965-07-26,50,Greater than 45,African-American,0,3,0,0,4,-1,2013-12-05 02:24:02,2013-12-18 10:47:36,13016826CF10A,2013-12-04,,2,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2015-01-20,2015-05-04,4,12,410,0,0,0 +5143,arielle welcher,arielle,welcher,2014-03-26,Female,1993-02-05,23,Less than 25,Caucasian,0,6,0,0,1,0,2014-03-26 01:42:17,2014-03-27 03:07:45,14005239MM10A,2014-03-26,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-26,Risk of Violence,4,Low,2014-03-26,2014-03-26,2014-03-27,1,1,737,0,0,0 +5150,christopher hamilton,christopher,hamilton,2013-10-21,Male,1977-08-30,38,25 - 45,African-American,0,1,0,0,1,-1,2013-10-20 09:39:34,2013-10-24 09:18:44,13019861MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2013-10-20,2013-10-24,1,3,893,0,0,0 +5151,donna inman,donna,inman,2013-12-23,Female,1961-08-31,54,Greater than 45,Caucasian,0,2,0,0,2,-3,2013-12-20 01:27:45,2013-12-20 08:11:49,13017519CF10A,,2013-12-19,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-20,2013-12-20,2,0,830,0,0,0 +5155,brandon lewis,brandon,lewis,2013-03-10,Male,1987-07-29,28,25 - 45,African-American,0,10,0,0,18,-1,2013-03-09 08:14:54,2013-03-21 09:56:34,13003502CF10A,2013-03-09,,1,F,Deliver Cannabis,1,14000814MM30A,(M1),,2014-05-02,Possess Cannabis/20 Grams Or Less,,,,1,14013392MM10A,(M1),2014-07-29,Battery,Risk of Recidivism,10,High,2013-03-10,Risk of Violence,7,Medium,2013-03-10,2013-07-01,2013-07-19,18,11,113,0,1,1 +5158,silburn edwards,silburn,edwards,2013-03-23,Male,1966-11-18,49,Greater than 45,African-American,0,1,0,0,1,-1,2013-03-22 10:06:06,2013-03-24 09:17:51,12018751MM10A,,2013-03-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-23,Risk of Violence,1,Low,2013-03-23,2013-03-22,2013-03-24,1,1,1105,0,0,0 +5160,william smith,william,smith,2013-01-15,Male,1979-06-26,36,25 - 45,African-American,0,7,0,0,11,-1,2013-01-14 06:43:21,2013-01-15 03:48:05,13000633CF10A,2013-01-14,,1,F,Driving While License Revoked,1,15008412MM10A,(M1),0,2015-08-09,Credit Card Theft,2015-08-09,2015-08-10,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,3,Low,2013-01-15,2015-08-09,2015-08-10,11,0,936,1,0,0 +5161,tequina montague,tequina,montague,2014-03-07,Female,1989-10-12,26,25 - 45,African-American,0,9,0,0,2,,,,10002862CF10A,,2012-06-11,634,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-07,Risk of Violence,8,High,2014-03-07,,,2,0,756,0,0,0 +5162,doreena nicholas,doreena,nicholas,2013-05-10,Female,1974-08-14,41,25 - 45,Caucasian,0,3,0,0,0,-1,2013-05-09 05:59:32,2013-05-10 10:01:12,13006649CF10A,2013-05-09,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-10,Risk of Violence,1,Low,2013-05-10,2013-05-09,2013-05-10,0,0,1057,0,0,0 +5166,richard dpugh,richard,dpugh,2013-11-06,Male,1975-10-04,40,25 - 45,Caucasian,1,9,0,0,9,-1,2013-11-05 03:16:54,2013-11-06 02:05:35,10000805CF10A,,2013-11-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-06,Risk of Violence,6,Medium,2013-11-06,2013-11-05,2013-11-06,9,0,877,0,0,0 +5167,robert sullivan,robert,sullivan,2013-12-06,Male,1987-02-23,29,25 - 45,Caucasian,0,8,0,1,8,-54,2013-10-13 02:27:45,2013-10-13 01:55:47,13019398MM10A,2013-10-13,,54,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-06,Risk of Violence,4,Low,2013-12-06,2013-10-13,2013-10-13,8,0,847,0,0,0 +5171,giovani castano,giovani,castano,2013-04-11,Male,1982-05-15,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-10 11:35:35,2013-04-11 07:36:36,13005191CF10A,2013-04-10,,1,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-11,Risk of Violence,1,Low,2013-04-11,2013-12-09,2014-01-10,0,0,242,0,0,0 +5172,damian nance,damian,nance,2013-11-26,Male,1989-11-21,26,25 - 45,African-American,0,7,0,0,7,-19,2013-11-07 09:49:10,2013-11-26 12:03:33,13015540CF10A,2013-11-07,,19,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-26,Risk of Violence,6,Medium,2013-11-26,2014-07-31,2014-08-01,7,0,247,0,0,0 +5174,kamal warren,kamal,warren,2013-08-02,Male,1980-05-03,35,25 - 45,African-American,0,2,0,0,1,-1,2013-08-01 10:22:57,2013-08-02 08:24:40,13010758CF10A,2013-08-01,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2013-08-01,2013-08-02,1,0,973,0,0,0 +5176,stephon roberson,stephon,roberson,2014-03-02,Male,1988-12-01,27,25 - 45,African-American,0,2,0,0,3,-1,2014-03-01 05:05:24,2014-03-02 08:32:37,13013426TC20A,2013-03-02,,365,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-02,Risk of Violence,4,Low,2014-03-02,2014-03-01,2014-03-02,3,0,761,0,0,0 +5178,britanya lewis,britanya,lewis,2013-12-02,Female,1984-07-06,31,25 - 45,African-American,0,5,0,0,3,-1,2013-12-01 08:31:46,2014-02-01 04:56:59,11008341CF10A,,2013-12-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-02,Risk of Violence,3,Low,2013-12-02,2014-02-14,2014-02-15,3,61,74,0,0,0 +5180,mourica evans,mourica,evans,2013-11-02,Female,1983-11-11,32,25 - 45,Other,0,2,0,0,0,-1,2013-11-01 10:58:38,2013-11-03 12:25:21,13020651MM10A,2013-11-01,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-02,Risk of Violence,2,Low,2013-11-02,2013-11-01,2013-11-03,0,1,881,0,0,0 +5181,jose jimenez,jose,jimenez,2013-04-01,Male,1965-06-29,50,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-03-31 08:19:14,2013-04-01 05:49:39,13004616CF10A,2013-03-31,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-03-31,2013-04-01,1,0,1096,0,0,0 +5182,anthony walters,anthony,walters,2013-03-01,Male,1963-11-30,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-02-28 09:15:47,2013-03-01 01:42:15,13002888CF10A,,2013-02-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-02-28,2013-03-01,1,0,1127,0,0,0 +5183,jonathan russell,jonathan,russell,2013-02-05,Male,1991-07-01,24,Less than 25,African-American,0,4,0,0,1,-1,2013-02-04 03:27:19,2013-02-06 10:01:51,13002559MM10A,2013-02-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-05,Risk of Violence,4,Low,2013-02-05,2013-02-04,2013-02-06,1,1,1151,0,0,0 +5184,daryll orr,daryll,orr,2013-03-23,Male,1977-12-24,38,25 - 45,African-American,0,4,0,0,0,0,2013-03-23 03:28:13,2013-03-24 06:34:49,13004205CF10A,2013-03-22,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-23,Risk of Violence,3,Low,2013-03-23,2015-03-18,2015-03-24,0,1,725,0,0,0 +5186,azell moreland,azell,moreland,2013-03-28,Male,1961-07-12,54,Greater than 45,African-American,0,8,0,0,11,-1,2013-03-27 05:20:57,2013-03-28 07:45:04,11018142CF10A,,2013-03-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-28,Risk of Violence,3,Low,2013-03-28,2013-03-27,2013-03-28,11,0,1100,0,0,0 +5187,james hines,james,hines,2013-08-18,Male,1944-05-11,71,Greater than 45,Caucasian,0,2,0,0,13,-1,2013-08-17 11:16:45,2013-08-18 02:28:59,13011540CF10A,2013-08-17,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-18,Risk of Violence,1,Low,2013-08-18,2013-08-17,2013-08-18,13,0,957,0,0,0 +5189,tara ketola,tara,ketola,2013-09-09,Female,1977-03-14,39,25 - 45,Caucasian,0,4,0,0,1,-1,2013-09-08 04:59:45,2013-10-17 09:28:05,13012681CF10A,2013-09-07,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-09-08,2013-10-17,1,38,935,0,0,0 +5193,dorean nairn,dorean,nairn,2013-01-01,Female,1979-11-15,36,25 - 45,African-American,0,6,0,0,5,0,2013-01-01 05:49:29,2013-01-02 01:39:04,13000031CF10A,2013-01-01,,0,F,Battery on Law Enforc Officer,1,13005201MM10A,(M1),0,2013-03-16,Battery,2013-03-16,2013-03-16,,1,13005201MM10A,(M1),2013-03-16,Battery,Risk of Recidivism,6,Medium,2013-01-01,Risk of Violence,4,Low,2013-01-01,2013-03-16,2013-03-16,5,1,74,0,1,1 +5194,gregory dennis,gregory,dennis,2013-12-16,Male,1960-08-06,55,Greater than 45,African-American,0,1,0,0,0,-1,2013-12-15 07:09:08,2013-12-16 01:30:18,13017327CF10A,2013-12-15,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0,0 +5196,orranda uragavidal,orranda,uragavidal,2013-03-15,Male,1982-09-03,33,25 - 45,Hispanic,0,4,0,0,1,,,,11012836CF10A,,2012-02-09,400,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-15,Risk of Violence,3,Low,2013-03-15,,,1,0,1113,0,0,0 +5197,fredrick hill,fredrick,hill,2013-05-13,Male,1970-06-18,45,Greater than 45,African-American,0,3,0,0,0,,,,,,,,M,,1,14003266MO10A,(MO3),0,2014-02-25,Trespass,2014-02-25,2014-02-26,,1,15013090CF10A,(F1),2015-10-09,Robbery / Weapon,Risk of Recidivism,3,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2014-02-25,2014-02-26,0,0,288,1,1,1 +5198,kyle thompson,kyle,thompson,2013-10-30,Male,1989-02-10,27,25 - 45,Caucasian,0,4,0,0,0,0,2013-10-30 05:18:21,2013-11-08 04:56:54,13015142CF10A,2013-10-30,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-30,Risk of Violence,3,Low,2013-10-30,2013-10-30,2013-11-08,0,9,884,0,0,0 +5204,latoria adams,latoria,adams,2014-02-10,Female,1984-12-16,31,25 - 45,African-American,0,8,2,0,10,-3,2014-02-07 03:57:04,2014-02-08 09:36:26,14001761CF10A,2014-02-07,,3,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-10,Risk of Violence,4,Low,2014-02-10,2015-06-18,2015-06-24,10,0,493,0,0,0 +5205,roy roberts,roy,roberts,2013-04-07,Male,1991-08-15,24,Less than 25,Caucasian,0,9,0,0,8,0,2013-04-07 03:41:57,2013-05-14 05:41:37,10013335CF10B,,2013-04-07,0,F,arrest case no charge,1,15063411TC40A,(M2),,2015-10-26,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-04-07,Risk of Violence,9,High,2013-04-07,2013-04-07,2013-05-14,8,37,932,1,0,0 +5209,gary kuchta,gary,kuchta,2013-04-05,Male,1989-04-23,26,25 - 45,Caucasian,0,3,0,0,0,-1,2013-04-04 10:35:20,2013-04-05 01:26:38,13004840CF10A,2013-04-04,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-05,Risk of Violence,3,Low,2013-04-05,2013-04-04,2013-04-05,0,0,1092,0,0,0 +5211,frank aguiar,frank,aguiar,2013-05-07,Male,1987-02-17,29,25 - 45,Hispanic,0,3,0,0,0,,,,13006397CF10A,2013-05-04,,3,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-07,Risk of Violence,2,Low,2013-05-07,,,0,0,1060,0,0,0 +5213,christopher batista,christopher,batista,2013-04-10,Male,1982-12-06,33,25 - 45,Hispanic,0,2,0,0,3,-51,2013-02-18 10:14:21,2013-02-19 09:12:09,10035723TC10A,2010-07-20,,995,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,2,Low,2013-04-10,2013-02-18,2013-02-19,3,0,1087,0,0,0 +5215,andrew renshaw,andrew,renshaw,2013-04-15,Male,1986-12-18,29,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-14 09:00:15,2013-04-15 08:50:37,13005379CF10A,2013-04-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-15,Risk of Violence,3,Low,2013-04-15,2013-04-14,2013-04-15,0,0,1082,0,0,0 +5217,maurice jones,maurice,jones,2014-01-04,Male,1978-12-04,37,25 - 45,African-American,0,1,0,0,0,-1,2014-01-03 09:10:13,2014-01-04 01:42:06,14000133CF10A,2014-01-03,,1,F,Felony Battery (Dom Strang),1,15005809MM10A,(M1),0,2015-05-27,Battery,2015-05-27,2015-05-28,,1,15005809MM10A,(M1),2015-05-27,Battery,Risk of Recidivism,1,Low,2014-01-04,Risk of Violence,1,Low,2014-01-04,2015-05-27,2015-05-28,0,0,508,1,1,1 +5218,troy brunetto,troy,brunetto,2013-02-05,Male,1969-06-30,46,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-02-04 07:51:30,2013-02-05 01:17:07,13001745CF10A,2013-02-04,,1,F,Solicit To Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2014-02-19,2014-03-02,2,0,379,0,0,0 +5226,delvin williams,delvin,williams,2013-12-31,Male,1980-05-19,35,25 - 45,African-American,0,10,0,0,27,-103,2013-09-19 02:37:27,2013-09-20 07:48:53,13017992CF10A,2013-12-30,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-31,Risk of Violence,6,Medium,2013-12-31,2013-09-19,2013-09-20,27,0,822,0,0,0 +5227,darrell thomas,darrell,thomas,2013-01-15,Male,1968-02-10,48,Greater than 45,African-American,0,8,0,0,10,,,,12008776CF10A,2012-06-14,,215,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-15,Risk of Violence,6,Medium,2013-01-15,1992-06-10,1999-05-08,10,0,1172,0,0,0 +5236,ewexta dove,ewexta,dove,2013-02-28,Male,1990-12-14,25,25 - 45,African-American,0,10,1,1,8,,,,09007328CF10A,,2013-02-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-28,Risk of Violence,8,High,2013-02-28,2009-09-08,2011-04-14,8,0,1128,0,0,0 +5243,deangelo perpall,deangelo,perpall,2013-02-13,Male,1993-04-02,23,Less than 25,African-American,0,9,0,0,0,-1,2013-02-12 04:51:57,2013-02-27 01:07:06,13002183CF10A,2013-02-12,,1,F,Burglary Unoccupied Dwelling,1,13004993MM10A,(M2),0,2013-03-13,Prowling/Loitering,2013-03-13,2013-03-14,,1,13016774MM10A,(M1),2013-09-02,Battery,Risk of Recidivism,9,High,2013-02-13,Risk of Violence,6,Medium,2013-02-13,2013-03-13,2013-03-14,0,14,28,1,1,1 +5244,teresa bennett,teresa,bennett,2013-03-13,Male,1972-05-01,43,25 - 45,Caucasian,0,1,0,0,2,-26,2013-02-15 04:05:37,2013-02-16 05:59:32,13002346CF10A,2013-02-15,,26,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,2013-02-15,2013-02-16,2,0,1115,0,0,0 +5246,stacey wiederin,stacey,wiederin,2013-09-13,Female,1963-04-02,53,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-09-11 08:14:19,2013-09-12 06:57:04,13017313MM10A,2013-09-11,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-13,Risk of Violence,1,Low,2013-09-13,2013-09-11,2013-09-12,0,0,931,0,0,0 +5248,lagary roberson,lagary,roberson,2013-11-26,Male,1990-08-10,25,25 - 45,African-American,1,9,0,0,4,,,,13019968MM10A,2013-08-19,,99,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-26,Risk of Violence,7,Medium,2013-11-26,,,4,0,857,0,0,0 +5249,devin dorvil,devin,dorvil,2013-03-13,Male,1987-06-19,28,25 - 45,African-American,0,4,0,0,0,0,2013-03-13 02:29:55,2013-03-13 08:19:55,13003681CF10A,2013-03-12,,1,F,Offn Against Intellectual Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-13,Risk of Violence,5,Medium,2013-03-13,2013-03-13,2013-03-13,0,0,1115,0,0,0 +5251,ryan benitez,ryan,benitez,2013-04-18,Male,1994-09-13,21,Less than 25,Caucasian,0,3,0,0,1,-1,2013-04-17 03:21:05,2013-04-18 07:22:12,13005515CF10A,2013-04-17,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-18,Risk of Violence,5,Medium,2013-04-18,2013-04-17,2013-04-18,1,0,1079,0,0,0 +5252,andre foulks,andre,foulks,2013-12-10,Male,1984-10-17,31,25 - 45,Other,0,2,0,0,0,-1,2013-12-09 07:40:01,2013-12-18 09:34:07,13022792MM10A,2013-12-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-10,Risk of Violence,2,Low,2013-12-10,2013-12-09,2013-12-18,0,8,843,0,0,0 +5255,soyeka williams,soyeka,williams,2014-03-11,Female,1980-11-01,35,25 - 45,African-American,0,1,0,0,1,-1,2014-03-10 07:27:18,2014-03-11 12:57:04,14002986CF10A,,2014-03-10,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2014-03-10,2014-03-11,1,0,752,0,0,0 +5258,randy huffman,randy,huffman,2013-04-06,Male,1960-05-12,55,Greater than 45,Caucasian,0,3,0,0,3,0,2013-04-06 02:24:02,2013-04-07 06:31:22,13006629MM10A,2013-04-05,,1,M,Viol Injunction Protect Dom Vi,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-06,Risk of Violence,1,Low,2013-04-06,2013-04-06,2013-04-07,3,1,1091,0,0,0 +5260,bach ketant,bach,ketant,2013-07-10,Male,1988-01-04,28,25 - 45,African-American,0,3,0,0,0,-2,2013-07-08 04:09:27,2013-07-09 01:46:35,13012968MM10A,2013-07-08,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-10,Risk of Violence,3,Low,2013-07-10,2013-07-08,2013-07-09,0,0,996,0,0,0 +5261,alexander gorshechnikov,alexander,gorshechnikov,2014-01-25,Male,1971-10-04,44,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-24 05:19:29,2014-01-26 09:50:54,14001384MM10A,2014-01-24,,1,M,Battery,1,16000036MM10A,(M1),0,2016-01-01,Battery,2016-01-01,2016-01-02,,1,16000036MM10A,(M1),2016-01-01,Battery,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2016-01-01,2016-01-02,0,1,706,1,1,1 +5262,grace margri,grace,margri,2013-10-01,Female,1967-07-08,48,Greater than 45,Caucasian,0,1,0,0,2,-66,2013-07-27 12:28:26,2013-08-29 08:31:34,13010505CF10A,2013-07-26,,67,F,Abuse Without Great Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-07-27,2013-08-29,2,0,913,0,0,0 +5264,kirk myrie,kirk,myrie,2013-01-15,Male,1992-06-01,23,Less than 25,Other,0,7,0,0,2,-1,2013-01-14 07:27:31,2013-02-28 08:04:57,13000877MM10A,2013-01-14,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,9,High,2013-01-15,2013-06-17,2013-06-18,2,44,153,0,0,0 +5266,george bennington,george,bennington,2013-02-09,Male,1966-02-06,50,Greater than 45,Caucasian,0,3,0,0,2,0,2013-02-09 02:34:06,2013-02-10 02:41:17,13002026CF10A,2013-02-08,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2015-06-02,2015-06-02,2,1,843,0,0,0 +5270,mohan nihal,mohan,nihal,2013-04-26,Male,1984-11-18,31,25 - 45,African-American,0,4,0,0,0,0,2013-04-26 12:08:59,2013-05-18 07:59:34,13008009MM10A,2013-04-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-26,Risk of Violence,3,Low,2013-04-26,2013-04-26,2013-05-18,0,22,1071,0,0,0 +5272,jaime bedoya,jaime,bedoya,2013-11-20,Male,1973-09-15,42,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-19 08:34:22,2013-11-20 09:27:32,13016071CF10A,2013-11-19,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-11-19,2013-11-20,0,0,863,0,0,0 +5275,xavier larkins,xavier,larkins,2014-03-18,Male,1986-11-09,29,25 - 45,African-American,0,10,0,0,5,,,,11001435CF10A,,2012-06-13,643,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-03-18,Risk of Violence,9,High,2014-03-18,2008-10-16,2010-02-23,5,0,745,0,0,0 +5276,michael bowers,michael,bowers,2013-01-19,Male,1968-03-30,48,Greater than 45,Caucasian,0,1,0,0,1,,,,11015127CF10A,2011-09-10,,497,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-19,Risk of Violence,1,Low,2013-01-19,,,1,0,1168,0,0,0 +5281,juan reinoso amaya,juan,reinoso amaya,2013-01-07,Male,1993-02-21,23,Less than 25,Hispanic,0,3,0,0,0,0,2013-01-07 07:51:24,2013-01-09 09:11:54,13000390MM10A,2013-01-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-07,Risk of Violence,5,Medium,2013-01-07,2013-01-07,2013-01-09,0,2,1180,0,0,0 +5287,kaeron holness,kaeron,holness,2013-12-09,Male,1983-10-11,32,25 - 45,Other,0,2,0,0,0,0,2013-12-09 03:22:12,2013-12-09 09:18:54,13017027CF10A,2013-12-09,,0,M,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-09,Risk of Violence,2,Low,2013-12-09,2013-12-09,2013-12-09,0,0,844,0,0,0 +5290,david church,david,church,2013-04-29,Male,1949-03-21,67,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-28 05:37:37,2013-04-29 06:49:40,13008158MM10A,2013-04-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-28,2013-04-29,0,0,1068,0,0,0 +5293,sandy francois,sandy,francois,2013-12-18,Female,1983-09-18,32,25 - 45,African-American,0,7,0,0,11,0,2013-12-18 02:14:29,2013-12-18 08:08:44,13017465CF10A,2013-12-18,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-18,Risk of Violence,4,Low,2013-12-18,2013-12-18,2013-12-18,11,0,835,0,0,0 +5294,rodney alvarez,rodney,alvarez,2013-11-06,Male,1971-10-20,44,25 - 45,African-American,0,4,0,0,7,0,2013-11-06 01:43:25,2013-11-07 09:49:04,13015495CF10A,,2013-11-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-06,Risk of Violence,3,Low,2013-11-06,2015-07-21,2015-07-25,7,1,622,0,0,0 +5298,dominic rayoni,dominic,rayoni,2013-10-13,Male,1988-03-15,28,25 - 45,Caucasian,0,4,1,0,9,-1,2013-10-12 10:09:36,2013-10-13 07:27:48,13019343MM10A,2013-10-12,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-13,Risk of Violence,3,Low,2013-10-13,2014-01-22,2014-01-27,9,0,101,0,0,0 +5307,andrew henderson,andrew,henderson,2014-03-05,Male,1979-12-29,36,25 - 45,African-American,0,4,0,0,4,-215,2013-08-02 03:33:55,2013-08-02 01:47:55,13010932CF10A,2013-08-02,,215,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-05,Risk of Violence,2,Low,2014-03-05,2013-08-02,2013-08-02,4,0,758,0,0,0 +5308,andre alfred,andre,alfred,2013-01-20,Male,1980-02-13,36,25 - 45,Other,0,2,0,0,8,-1,2013-01-19 05:26:09,2013-01-21 02:10:52,12005397MO10A,,2013-01-19,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-20,Risk of Violence,2,Low,2013-01-20,2013-11-04,2013-11-04,8,1,288,0,0,0 +5309,kristen waun,kristen,waun,2013-05-22,Female,1990-04-30,25,25 - 45,Caucasian,0,4,0,0,0,0,2013-05-22 01:26:39,2013-05-24 08:30:15,13009879MM10A,2013-05-21,,1,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,4,Low,2013-05-22,2013-05-22,2013-05-24,0,2,1045,0,0,0 +5314,damian francis,damian,francis,2013-10-22,Male,1983-01-03,33,25 - 45,African-American,0,2,0,0,4,-9,2013-10-13 10:41:40,2013-10-21 09:18:54,12014902CF10A,,2013-10-13,9,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-22,Risk of Violence,2,Low,2013-10-22,2013-10-13,2013-10-21,4,0,892,0,0,0 +5315,fernando martinez-salas,fernando,martinez-salas,2013-10-15,Male,1977-05-30,38,25 - 45,Hispanic,0,1,0,0,0,0,2013-10-15 03:11:18,2013-10-15 07:48:38,13019552MM10A,2013-10-15,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-15,Risk of Violence,1,Low,2013-10-15,2013-10-15,2013-10-15,0,0,899,0,0,0 +5318,napoleon savinon,napoleon,savinon,2013-04-03,Male,1963-09-15,52,Greater than 45,Hispanic,0,3,0,0,5,-1,2013-04-02 10:32:57,2013-04-09 07:06:41,13004740CF10A,2013-04-02,,1,F,Aggrav Battery w/Deadly Weapon,1,14009027CF10A,(F5),,2014-06-15,Sex Battery Deft 18+/Vict 11-,,,,1,14009027CF10A,(F5),2014-06-15,Sex Battery Deft 18+/Vict 11-,Risk of Recidivism,3,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2013-04-02,2013-04-09,5,6,438,1,1,1 +5322,jesus almeida-garcia,jesus,almeida-garcia,2014-02-25,Male,1965-08-06,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-24 09:23:08,2014-02-25 09:04:38,14002630CF10A,2014-02-24,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-24,2014-02-25,0,0,766,0,0,0 +5323,darron kelly,darron,kelly,2013-05-14,Male,1978-09-28,37,25 - 45,African-American,0,1,0,0,4,135,2013-09-26 08:48:26,2013-09-27 08:33:20,13013096CF10A,2013-05-13,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-09-26,2013-09-27,4,0,135,0,0,0 +5324,rodney mcfadden,rodney,mcfadden,2014-01-01,Male,1957-05-11,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-31 06:12:18,2014-01-01 01:31:02,14000027CF10A,2013-12-31,,1,F,Aggravated Assault W/Dead Weap,1,15010373MM10A,(M1),0,2015-10-02,Battery,2015-10-02,2015-10-02,,1,15010373MM10A,(M1),2015-10-02,Battery,Risk of Recidivism,1,Low,2014-01-01,Risk of Violence,1,Low,2014-01-01,2015-10-02,2015-10-02,1,0,639,0,1,1 +5331,jonathan fanfan,jonathan,fanfan,2013-09-08,Male,1988-08-15,27,25 - 45,African-American,0,1,0,0,0,0,2013-09-08 04:52:18,2013-09-09 01:35:06,13017089MM10A,2013-09-08,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-08,Risk of Violence,2,Low,2013-09-08,2013-09-08,2013-09-09,0,1,936,0,0,0 +5332,jason brantman,jason,brantman,2013-08-19,Male,1977-02-11,39,25 - 45,Caucasian,0,3,0,0,5,-21,2013-07-29 05:42:49,2013-08-17 01:21:33,13010611CF10A,2013-07-29,,21,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-19,Risk of Violence,2,Low,2013-08-19,2013-07-29,2013-08-17,5,0,956,0,0,0 +5333,michael times,michael,times,2013-12-30,Male,1991-06-25,24,Less than 25,African-American,0,3,0,0,0,-1,2013-12-29 05:48:49,2013-12-30 08:21:33,13017934CF10A,2013-12-29,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-30,Risk of Violence,4,Low,2013-12-30,2015-06-22,2015-06-29,0,0,539,0,0,0 +5334,tarik carter,tarik,carter,2013-02-03,Male,1977-08-14,38,25 - 45,African-American,1,7,0,0,8,-1,2013-02-02 12:18:07,2013-02-04 03:00:05,13002405MM10A,2013-02-01,,2,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-03,Risk of Violence,6,Medium,2013-02-03,2013-02-02,2013-02-04,8,1,1153,0,0,0 +5335,robert moran,robert,moran,2013-12-02,Male,1963-08-29,52,Greater than 45,Caucasian,0,2,0,0,7,-23,2013-11-09 12:08:27,2013-11-10 07:41:16,13015625CF10A,2013-11-09,,23,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-11-09,2013-11-10,7,0,851,0,0,0 +5342,willie molina,willie,molina,2013-04-15,Male,1969-03-03,47,Greater than 45,Caucasian,0,5,0,0,3,0,2013-04-15 06:04:22,2013-06-17 08:28:27,13007294MM10A,2013-04-15,,0,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-15,Risk of Violence,1,Low,2013-04-15,2013-04-15,2013-06-17,3,63,1082,0,0,0 +5344,geoffrey wasserman,geoffrey,wasserman,2013-04-16,Male,1984-03-11,32,25 - 45,Caucasian,0,1,0,0,0,-7,2013-04-09 03:37:17,2013-04-10 02:15:00,13005106CF10A,2013-04-09,,7,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-16,Risk of Violence,2,Low,2013-04-16,2013-04-09,2013-04-10,0,0,1081,0,0,0 +5346,antonio walker,antonio,walker,2013-04-06,Male,1981-12-01,34,25 - 45,African-American,0,7,1,0,27,-1,2013-04-05 10:45:22,2013-04-06 07:30:25,13006587MM10A,2013-04-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-06,Risk of Violence,3,Low,2013-04-06,2013-04-05,2013-04-06,27,0,1091,0,0,0 +5347,kenneth jones,kenneth,jones,2013-11-26,Male,1973-11-01,42,25 - 45,African-American,0,6,0,0,5,-1,2013-11-25 03:04:52,2013-11-28 02:16:07,14000353CF10A,2013-11-25,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-26,Risk of Violence,6,Medium,2013-11-26,2014-10-02,2014-11-26,5,2,310,0,0,0 +5351,colter thompson,colter,thompson,2013-04-09,Male,1994-07-15,21,Less than 25,Caucasian,0,5,0,1,0,-1,2013-04-08 11:48:28,2013-04-09 02:03:42,13006759MM10A,2013-04-08,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-09,Risk of Violence,7,Medium,2013-04-09,2013-04-08,2013-04-09,0,0,1088,0,0,0 +5355,ernest bower,ernest,bower,2013-06-11,Male,1960-10-25,55,Greater than 45,Hispanic,0,1,0,0,2,-32,2013-05-10 11:19:49,2013-06-07 10:53:02,13006730CF10A,2013-05-10,,32,F,Traffick Oxycodone 4g><14g,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-11,Risk of Violence,1,Low,2013-06-11,2013-05-10,2013-06-07,2,0,1025,0,0,0 +5360,bruce spillane,bruce,spillane,2013-09-07,Male,1963-11-26,52,Greater than 45,Caucasian,0,2,0,0,8,0,2013-09-07 01:01:02,2013-10-16 09:20:34,12015996CF10A,,2013-09-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-07,2013-10-16,8,39,937,0,0,0 +5363,machell howell,machell,howell,2013-08-10,Male,1988-11-21,27,25 - 45,African-American,0,2,0,0,1,-1,2013-08-09 03:34:53,2013-08-11 09:11:25,13015068MM10A,2013-08-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-10,Risk of Violence,4,Low,2013-08-10,2013-08-09,2013-08-11,1,1,965,0,0,0 +5364,lisette artze,lisette,artze,2013-12-28,Female,1988-09-23,27,25 - 45,Caucasian,0,5,0,0,0,0,2013-12-28 11:18:59,2013-12-29 06:17:42,13023916MM10A,2013-12-28,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-28,Risk of Violence,3,Low,2013-12-28,2013-12-28,2013-12-29,0,1,825,0,0,0 +5365,sergi shokov,sergi,shokov,2014-03-04,Male,1959-09-01,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-03 04:19:53,2014-03-04 09:05:49,14003010CF10A,2014-03-03,,1,F,Retail Theft $300 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-04,Risk of Violence,1,Low,2014-03-04,2014-03-03,2014-03-04,0,0,759,0,0,0 +5369,sem joseph,sem,joseph,2013-07-11,Male,1970-12-09,45,Greater than 45,African-American,0,1,0,0,0,-6,2013-07-05 06:13:45,2013-07-05 08:09:49,13050561TC40A,2013-07-05,,6,M,Interfere W/Traf Cont Dev RR,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-11,Risk of Violence,1,Low,2013-07-11,2013-07-05,2013-07-05,0,0,995,0,0,0 +5370,sibthorpe latourclarke,sibthorpe,latourclarke,2013-11-20,Male,1992-06-04,23,Less than 25,African-American,0,2,0,0,1,-39,2013-10-12 01:23:28,2013-11-20 10:30:07,13019326MM10A,2013-10-12,,39,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-20,Risk of Violence,4,Low,2013-11-20,2015-02-18,2015-03-11,1,0,455,0,0,0 +5372,quita griffith,quita,griffith,2013-12-16,Female,1986-12-17,29,25 - 45,African-American,0,2,0,0,0,-3,2013-12-13 11:10:42,2013-12-14 01:25:05,13017266CF10A,2013-12-13,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,2,Low,2013-12-16,2013-12-13,2013-12-14,0,0,837,0,0,0 +5373,brayan colon,brayan,colon,2013-02-19,Male,1994-12-26,21,Less than 25,Hispanic,0,3,0,0,0,-5,2013-02-14 06:57:35,2013-02-15 04:33:41,13002305CF10A,,2013-02-14,5,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,6,Medium,2013-02-19,2013-11-18,2013-11-21,0,0,272,0,0,0 +5377,tilford baynham,tilford,baynham,2013-08-28,Male,1946-06-24,69,Greater than 45,African-American,0,6,0,0,3,,,,09005522CF10A,,2012-10-17,315,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-28,Risk of Violence,1,Low,2013-08-28,,,3,0,947,0,0,0 +5379,xavier melton,xavier,melton,2013-08-26,Male,1989-02-08,27,25 - 45,African-American,0,8,1,0,11,-1,2013-08-25 08:21:11,2013-08-30 04:19:35,13011974CF10A,2013-08-25,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-26,Risk of Violence,6,Medium,2013-08-26,2014-01-24,2014-01-26,11,4,151,0,0,0 +5381,gairy palmer,gairy,palmer,2013-03-31,Male,1977-12-28,38,25 - 45,African-American,0,1,0,0,4,-1,2013-03-30 10:14:17,2013-03-31 06:37:54,13013466TC10A,2013-03-30,,1,M,Susp Drivers Lic 1st Offense,1,15021670TC40A,(M2),,2015-04-09,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-03-30,2013-03-31,4,0,739,1,0,0 +5382,fernand elizee,fernand,elizee,2013-02-20,Male,1986-01-06,30,25 - 45,Other,0,1,0,0,0,-1,2013-02-19 07:44:17,2013-02-20 06:33:35,13002516CF10A,2013-02-19,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,2,Low,2013-02-20,2013-02-19,2013-02-20,0,0,1136,0,0,0 +5383,nicholaus macklin,nicholaus,macklin,2014-08-06,Female,1996-05-09,19,Less than 25,African-American,0,9,0,0,1,-1,2014-08-05 07:05:17,2015-10-13 07:10:00,14010672CF10A,2014-08-05,,1,F,Burglary Unoccupied Dwelling,1,14011444CF10A,(F2),,2014-08-21,Dealing in Stolen Property,,,,1,14011444CF10A,(F1),2014-08-21,Robbery W/Firearm,Risk of Recidivism,9,High,2014-08-06,Risk of Violence,7,Medium,2014-08-06,2014-08-05,2015-10-13,1,0,15,1,1,1 +5386,michelle hunter,michelle,hunter,2013-09-12,Female,1978-08-20,37,25 - 45,Caucasian,0,1,0,0,1,-1,2013-09-11 07:49:15,2013-09-12 08:10:44,13012854CF10A,2013-09-11,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-12,1,0,932,0,0,0 +5387,shanna kettle,shanna,kettle,2013-03-31,Male,1981-09-26,34,25 - 45,African-American,0,1,0,0,0,-1,2013-03-30 06:53:38,2013-04-01 12:45:32,13006130MM10A,2013-03-30,,1,M,Battery,1,13014886MM10A,(M1),,2013-06-06,Battery,,,,1,13014886MM10A,(M1),2013-06-06,Battery,Risk of Recidivism,1,Low,2013-03-31,Risk of Violence,1,Low,2013-03-31,2013-03-30,2013-04-01,0,1,67,1,1,1 +5389,romario hayden,romario,hayden,2013-09-21,Male,1994-11-23,21,Less than 25,African-American,0,8,0,1,1,-1,2013-09-20 07:24:36,2013-09-21 08:53:45,13013282CF10A,2013-09-20,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-21,Risk of Violence,7,Medium,2013-09-21,2015-11-10,2015-11-17,1,0,780,0,0,0 +5391,alison hadler,alison,hadler,2013-12-31,Female,1978-03-14,38,25 - 45,Caucasian,0,4,0,0,3,-1,2013-12-30 09:55:02,2013-12-31 07:52:56,13016091CF10A,,2013-12-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-31,Risk of Violence,2,Low,2013-12-31,2015-10-07,2015-11-09,3,0,645,0,0,0 +5392,kenneth rolle,kenneth,rolle,2014-02-27,Male,1968-06-08,47,Greater than 45,African-American,0,4,0,0,1,0,2014-02-27 02:05:42,2014-02-28 10:09:28,14003442MM10A,2014-02-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-27,Risk of Violence,5,Medium,2014-02-27,2014-02-27,2014-02-28,1,1,764,0,0,0 +5394,christopher smith,christopher,smith,2013-03-10,Male,1960-01-21,56,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-03-09 06:43:22,2013-09-16 12:03:42,13003483CF10A,2013-03-09,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-10,Risk of Violence,2,Low,2013-03-10,2013-03-09,2013-09-16,3,190,1118,0,0,0 +5398,charles collins,charles,collins,2013-02-23,Male,1992-10-29,23,Less than 25,African-American,0,8,0,0,0,-1,2013-02-22 05:25:17,2013-02-23 08:37:38,13003747MM10A,2013-02-22,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-23,Risk of Violence,8,High,2013-02-23,2014-10-16,2014-11-15,0,0,600,0,0,0 +5399,thomas raby,thomas,raby,2013-07-18,Male,1958-08-02,57,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-07-16 09:13:15,2013-07-18 11:14:39,13009971CF10A,2013-07-16,,2,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-18,Risk of Violence,1,Low,2013-07-18,2013-07-16,2013-07-18,0,0,988,0,0,0 +5400,bryan jackson,bryan,jackson,2014-01-30,Male,1990-12-03,25,25 - 45,African-American,0,7,1,0,9,-17,2014-01-13 12:56:03,2014-01-26 01:00:56,14001025CF10A,,2014-01-24,6,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-30,Risk of Violence,4,Low,2014-01-30,2014-01-13,2014-01-26,9,0,792,0,0,0 +5402,neyesha brunson,neyesha,brunson,2013-02-14,Female,1992-05-18,23,Less than 25,African-American,0,10,0,0,2,16,2013-03-02 04:43:32,2013-06-26 08:30:17,13001252CF10A,2013-01-25,,20,F,Battery on Law Enforc Officer,1,13009492CF10A,(F3),0,2013-07-07,Felony Battery w/Prior Convict,2013-07-07,2013-10-12,,1,13009492CF10A,(F3),2013-07-07,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2013-02-14,Risk of Violence,9,High,2013-02-14,2013-03-02,2013-06-26,2,0,16,0,1,1 +5404,keisha jones,keisha,jones,2013-10-18,Female,1979-12-31,36,25 - 45,African-American,0,5,0,0,2,-2,2013-10-16 05:52:30,2013-10-17 05:04:11,13019626MM10A,2013-10-16,,2,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-18,Risk of Violence,3,Low,2013-10-18,2013-10-16,2013-10-17,2,0,896,0,0,0 +5405,corey kendrick,corey,kendrick,2014-02-07,Male,1975-02-27,41,25 - 45,African-American,0,5,0,0,5,-1,2014-02-06 05:13:21,2014-02-07 01:43:46,11033444TC20A,2011-05-08,,1006,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-07,Risk of Violence,6,Medium,2014-02-07,2014-02-06,2014-02-07,5,0,784,0,0,0 +5406,victor guevaramolina,victor,guevaramolina,2013-05-08,Male,1984-11-23,31,25 - 45,Hispanic,0,3,0,0,2,-69,2013-02-28 07:13:35,2013-04-19 01:11:35,13003030CF10A,2013-02-28,,69,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-08,Risk of Violence,2,Low,2013-05-08,2013-02-28,2013-04-19,2,0,1059,0,0,0 +5410,marta lopes,marta,lopes,2013-05-24,Female,1977-01-04,39,25 - 45,Other,0,1,0,0,0,-1,2013-05-23 08:14:20,2013-05-24 11:46:12,13007634CF10A,2013-05-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-24,Risk of Violence,1,Low,2013-05-24,2013-05-23,2013-05-24,0,0,1043,0,0,0 +5411,claude jones,claude,jones,2013-08-29,Male,1994-09-21,21,Less than 25,African-American,0,6,0,0,1,-1,2013-08-28 11:29:05,2013-08-30 01:35:02,13012170CF10A,,2013-08-28,1,F,arrest case no charge,1,14053639TC40A,(M2),,2014-05-10,Leave Acc/Attend Veh/More $50,,,,1,15012388CF10A,(F2),2015-09-24,Robbery / No Weapon,Risk of Recidivism,6,Medium,2013-08-29,Risk of Violence,6,Medium,2013-08-29,2013-11-05,2013-11-15,1,1,68,0,1,1 +5416,jimmy toussaint,jimmy,toussaint,2013-04-29,Male,1984-05-21,31,25 - 45,African-American,0,4,0,0,2,-1,2013-04-28 02:35:06,2013-04-30 03:26:44,13018188TC10A,2013-04-28,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-29,Risk of Violence,6,Medium,2013-04-29,2014-04-20,2014-04-21,2,1,356,0,0,0 +5417,brian walters,brian,walters,2013-02-04,Male,1978-07-11,37,25 - 45,Caucasian,0,1,0,0,0,-2,2013-02-02 09:07:40,2013-02-03 08:50:00,13002400MM10A,2013-02-02,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,2,Low,2013-02-04,2013-02-02,2013-02-03,0,0,1152,0,0,0 +5418,henry noel,henry,noel,2013-02-07,Male,1988-08-05,27,25 - 45,African-American,0,2,0,0,0,-1,2013-02-06 10:17:43,2013-02-08 06:25:22,13001858CF10A,2013-02-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-07,Risk of Violence,4,Low,2013-02-07,2013-02-06,2013-02-08,0,1,1149,0,0,0 +5423,barry dambra,barry,dambra,2013-11-22,Male,1956-08-16,59,Greater than 45,Caucasian,0,1,0,0,2,-19,2013-11-03 10:51:50,2013-11-22 06:16:52,13015326CF10A,2013-11-03,,19,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-22,Risk of Violence,1,Low,2013-11-22,2013-11-03,2013-11-22,2,0,861,0,0,0 +5426,james haynes,james,haynes,2013-12-17,Male,1976-09-20,39,25 - 45,Caucasian,0,10,0,0,21,-216,2013-05-15 09:02:56,2013-11-25 11:29:51,13006931CF10A,2013-05-15,,216,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-12-17,Risk of Violence,10,High,2013-12-17,2015-07-23,2015-10-12,21,0,583,0,0,0 +5427,erricka gordon,erricka,gordon,2013-05-17,Female,1972-11-30,43,25 - 45,African-American,0,3,0,0,2,-1,2013-05-16 06:12:00,2013-05-18 08:14:28,13006987CF10A,2013-05-16,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-17,Risk of Violence,1,Low,2013-05-17,2013-11-06,2013-11-21,2,1,173,0,0,0 +5431,heather fleischer,heather,fleischer,2013-07-30,Female,1973-01-19,43,25 - 45,Caucasian,0,2,0,0,3,9,2013-08-08 06:27:18,2013-08-09 06:29:52,13013799MM10A,2013-07-20,,10,M,Viol Injunct Domestic Violence,1,13015001MM10A,(M1),0,2013-08-08,Viol Injunct Domestic Violence,2013-08-08,2013-08-09,,1,13016744MM10A,(M1),2013-09-01,Battery,Risk of Recidivism,2,Low,2013-07-30,Risk of Violence,1,Low,2013-07-30,2013-08-08,2013-08-09,3,0,9,1,1,1 +5436,monique young,monique,young,2013-05-02,Female,1961-07-13,54,Greater than 45,Caucasian,0,2,0,0,1,-4,2013-04-28 04:26:40,2013-05-01 06:20:52,13008165MM10A,2013-04-28,,4,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-02,Risk of Violence,1,Low,2013-05-02,2013-04-28,2013-05-01,1,0,1065,0,0,0 +5439,richenel metayer,richenel,metayer,2013-11-05,Male,1980-04-07,36,25 - 45,Other,0,4,0,0,3,-1,2013-11-04 12:26:37,2013-12-20 09:17:28,13020836MM10A,2013-11-04,,1,M,Viol Injunct Domestic Violence,1,14009088MM10A,(M1),0,2014-06-08,Viol Prot Injunc Repeat Viol,2014-06-08,2015-02-20,,1,14008782CF10A,(F3),2014-06-08,Felony Battery w/Prior Convict,Risk of Recidivism,4,Low,2013-11-05,Risk of Violence,3,Low,2013-11-05,2014-06-08,2015-02-20,3,45,215,1,1,1 +5441,joseph pendergrass,joseph,pendergrass,2013-05-04,Male,1959-05-11,56,Greater than 45,African-American,0,4,0,0,0,-1,2013-05-03 02:27:09,2013-05-05 01:57:23,13008632MM10A,2013-05-03,,1,M,Tresspass in Structure or Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-05-03,2013-05-05,0,1,1063,0,0,0 +5443,malcolm ricks,malcolm,ricks,2013-05-29,Male,1990-09-08,25,25 - 45,African-American,1,9,0,0,2,-1,2013-05-28 05:50:56,2013-05-29 07:54:28,13007596CF10A,2013-05-28,,1,F,Possession of Cocaine,1,16002819CF10A,(M1),1,2016-03-03,,2016-03-04,2016-03-04,,0,,,,,Risk of Recidivism,9,High,2013-05-29,Risk of Violence,7,Medium,2013-05-29,2014-10-09,2014-10-10,2,0,498,0,0,0 +5445,jean edmond,jean,edmond,2013-01-17,Male,1982-02-28,34,25 - 45,African-American,0,10,2,0,9,,,,12055993TC10A,2012-10-29,,80,M,Susp Drivers Lic 1st Offense,1,13013709TC10A,(M2),,2013-02-19,Driving License Suspended,,,,1,14004311CF10A,(F6),2013-11-14,Murder in the First Degree,Risk of Recidivism,10,High,2013-01-17,Risk of Violence,9,High,2013-01-17,2006-11-20,2007-01-01,9,0,33,1,1,1 +5446,osmar berges,osmar,berges,2014-02-08,Male,1967-12-09,48,Greater than 45,African-American,0,6,0,0,4,-1,2014-02-07 08:43:01,2014-02-08 10:23:55,14001736CF10A,2014-02-07,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-08,Risk of Violence,3,Low,2014-02-08,2015-06-17,2015-07-01,4,0,494,0,0,0 +5447,james lapaix,james,lapaix,2013-12-08,Male,1981-10-03,34,25 - 45,African-American,1,10,0,0,21,-1,2013-12-07 10:49:28,2013-12-13 05:26:14,13022660MM10A,2013-12-07,,1,M,Battery,1,14004993MM10A,(M2),0,2014-03-22,Driving License Suspended,2014-03-22,2014-11-12,,1,14004993MM10A,(M1),2014-03-22,Battery,Risk of Recidivism,10,High,2013-12-08,Risk of Violence,10,High,2013-12-08,2014-03-22,2014-11-12,21,5,104,1,1,1 +5448,jose pareja,jose,pareja,2013-04-14,Male,1987-10-07,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-13 09:40:01,2013-04-14 02:57:23,13005350CF10A,2013-04-13,,1,F,Traffick Oxycodone 4g><14g,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-14,Risk of Violence,2,Low,2013-04-14,2013-04-13,2013-04-14,0,0,1083,0,0,0 +5449,hermes perez,hermes,perez,2013-11-17,Male,1983-05-27,32,25 - 45,Caucasian,0,3,0,0,1,-1,2013-11-16 01:11:58,2013-11-17 08:28:49,13015954CF10A,2013-11-16,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-17,Risk of Violence,2,Low,2013-11-17,2015-07-15,2015-08-08,1,0,605,0,0,0 +5451,jamie winkleblech,jamie,winkleblech,2014-03-11,Female,1985-02-02,31,25 - 45,Caucasian,0,1,0,0,2,-1,2014-03-10 11:24:08,2014-03-12 03:59:12,14003385CF10A,2014-03-10,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-11,Risk of Violence,1,Low,2014-03-11,2014-03-10,2014-03-12,2,1,752,0,0,0 +5455,christine powers,christine,powers,2014-01-16,Female,1983-09-04,32,25 - 45,Caucasian,0,2,0,1,4,-1,2014-01-15 05:18:19,2014-01-15 09:27:23,14000652CF10A,2014-01-15,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2014-01-15,2014-01-15,4,0,806,0,0,0 +5459,hering bolano,hering,bolano,2014-03-15,Male,1967-07-21,48,Greater than 45,African-American,0,1,0,0,0,0,2014-03-15 01:10:22,2014-03-16 01:46:30,14003674CF10A,2014-03-14,,1,M,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-15,Risk of Violence,1,Low,2014-03-15,2014-03-15,2014-03-16,0,1,748,0,0,0 +5460,anthony demps,anthony,demps,2013-06-26,Male,1990-06-27,25,25 - 45,African-American,1,9,2,0,9,43,2013-08-08 10:16:20,2013-09-27 05:24:31,11019440CF10A,,2013-06-06,20,F,arrest case no charge,1,13011104CF10A,(F3),0,2013-08-08,Grand Theft (Motor Vehicle),2013-08-08,2013-09-27,,1,16000237MM10A,(M1),2015-10-07,Battery,Risk of Recidivism,9,High,2013-06-26,Risk of Violence,9,High,2013-06-26,2013-08-08,2013-09-27,9,0,43,1,1,1 +5461,willie starkey,willie,starkey,2013-12-16,Male,1981-03-22,35,25 - 45,African-American,0,2,0,0,1,0,2013-12-16 03:09:50,2013-12-16 08:23:44,13017369CF10A,2013-12-16,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-16,2013-12-16,1,0,837,0,0,0 +5473,terrance gordon,terrance,gordon,2014-03-26,Male,1993-11-22,22,Less than 25,African-American,0,2,0,0,0,-1,2014-03-25 03:44:15,2014-03-26 09:01:59,14004227CF10A,2014-03-25,,1,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-26,Risk of Violence,4,Low,2014-03-26,2014-03-25,2014-03-26,0,0,737,0,0,0 +5474,demarr labordeaux,demarr,labordeaux,2013-04-05,Male,1987-04-28,28,25 - 45,African-American,0,5,0,0,4,0,2013-04-05 01:20:12,2013-04-05 01:32:17,13004854CF10A,2013-04-04,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-05,Risk of Violence,5,Medium,2013-04-05,2014-10-15,2014-10-16,4,0,558,0,0,0 +5475,robert watts,robert,watts,2013-05-09,Male,1990-03-11,26,25 - 45,African-American,0,2,0,0,0,-1,2013-05-08 04:58:36,2013-05-09 07:23:44,13008904MM10A,2013-05-08,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-09,Risk of Violence,3,Low,2013-05-09,2013-05-08,2013-05-09,0,0,1058,0,0,0 +5477,brian wagner,brian,wagner,2013-04-11,Male,1982-03-20,34,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-10 11:41:34,2013-04-11 07:33:54,13005190CF10A,2013-04-10,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-11,Risk of Violence,1,Low,2013-04-11,2013-04-10,2013-04-11,0,0,1086,0,0,0 +5479,anthony bones,anthony,bones,2013-01-12,Male,1993-08-19,22,Less than 25,African-American,0,9,0,0,3,-1,2013-01-11 05:12:24,2013-02-14 04:12:48,13000502CF10A,2013-01-11,,1,F,Agg Assault W/int Com Fel Dome,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-12,Risk of Violence,9,High,2013-01-12,2015-01-08,2015-03-12,3,33,726,0,0,0 +5483,joseph webb,joseph,webb,2014-03-03,Male,1971-09-22,44,25 - 45,Caucasian,0,2,0,0,5,0,2014-03-03 10:15:24,2014-03-10 10:03:52,14003005CF10A,,2014-03-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-03,2014-03-10,5,7,760,0,0,0 +5484,robert bianco,robert,bianco,2013-11-25,Male,1958-09-05,57,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-11-24 07:32:33,2013-12-11 11:30:00,13016331CF10A,2013-11-24,,1,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-24,2013-12-11,1,16,858,0,0,0 +5487,ranell peebles,ranell,peebles,2013-03-08,Male,1981-06-15,34,25 - 45,African-American,0,3,0,0,0,,,,13003405CF10A,2013-03-07,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-08,Risk of Violence,4,Low,2013-03-08,,,0,0,1120,0,0,0 +5491,michael davis,michael,davis,2013-08-16,Male,1995-04-21,20,Less than 25,Caucasian,0,4,0,0,0,-1,2013-08-15 11:34:07,2013-08-16 01:47:50,13011485CF10A,2013-08-15,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-16,Risk of Violence,7,Medium,2013-08-16,2013-08-15,2013-08-16,0,0,959,0,0,0 +5492,david hayes,david,hayes,2014-01-14,Male,1980-08-12,35,25 - 45,Caucasian,0,9,0,0,2,-50,2013-11-25 05:40:33,2013-11-26 08:44:57,13016409CF10A,2013-11-25,,50,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-14,Risk of Violence,5,Medium,2014-01-14,2014-03-26,2014-04-08,2,0,71,0,0,0 +5495,johnnie dixon,johnnie,dixon,2013-05-30,Male,1955-12-17,60,Greater than 45,African-American,0,3,0,0,13,-13,2013-05-17 08:51:50,2013-05-18 07:54:03,13007090CF10A,2013-05-17,,13,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-30,Risk of Violence,1,Low,2013-05-30,2013-05-17,2013-05-18,13,0,1037,0,0,0 +5496,shanice king,shanice,king,2014-02-21,Female,1993-05-27,22,Less than 25,African-American,0,5,0,0,2,-1,2014-02-20 01:45:43,2014-02-21 10:18:02,14002407CF10A,2014-02-20,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,7,Medium,2014-02-21,2014-02-20,2014-02-21,2,0,770,0,0,0 +5497,douglas duarte,douglas,duarte,2013-03-11,Male,1972-12-13,43,25 - 45,Hispanic,0,1,0,0,0,-1,2013-03-10 08:27:36,2013-03-11 07:22:36,13004808MM10A,2013-03-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-03-10,2013-03-11,0,0,1117,0,0,0 +5500,william boyance,william,boyance,2013-09-23,Male,1943-11-12,72,Greater than 45,Caucasian,0,4,0,0,7,-1,2013-09-22 12:36:34,2013-09-22 02:15:20,13013322CF10A,2013-09-21,,2,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-22,2013-09-22,7,0,921,0,0,0 +5505,bruce davis,bruce,davis,2013-08-08,Male,1956-02-06,60,Greater than 45,African-American,0,1,0,0,0,-1,2013-08-07 09:07:30,2014-03-13 12:32:21,13011062CF10A,2013-08-07,,1,F,Att Burgl Struc/Conv Dwel/Occp,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,2016-01-05,2016-01-18,0,217,880,0,0,0 +5507,patwayne walters,patwayne,walters,2013-01-01,Male,1972-10-24,43,25 - 45,Other,0,2,0,0,2,,,,13000001TC10A,2012-12-31,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-01,Risk of Violence,1,Low,2013-01-01,,,2,0,1186,0,0,0 +5508,eric francois,eric,francois,2013-06-19,Male,1985-08-17,30,25 - 45,African-American,0,4,0,0,1,-5,2013-06-14 01:37:37,2013-06-16 07:28:46,13011443MM10A,2013-06-14,,5,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-19,Risk of Violence,6,Medium,2013-06-19,2013-06-14,2013-06-16,1,0,1017,0,0,0 +5511,tracy primose,tracy,primose,2013-11-03,Female,1972-12-12,43,25 - 45,Caucasian,0,6,0,0,0,-1,2013-11-02 09:36:41,2013-12-02 08:15:22,13020687MM10A,2013-11-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-12-02,0,29,880,0,0,0 +5512,angel lopez,angel,lopez,2013-02-25,Male,1967-11-14,48,Greater than 45,Hispanic,0,1,0,0,1,-8,2013-02-17 12:27:13,2013-02-23 08:12:19,13003395MM10A,2013-02-16,,9,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-02-17,2013-02-23,1,0,1131,0,0,0 +5514,turgay fodul,turgay,fodul,2013-02-11,Male,1961-07-01,54,Greater than 45,Other,0,1,0,0,0,0,2013-02-11 12:00:23,2013-02-11 07:22:50,13002959MM10A,2013-02-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-11,2013-02-11,0,0,1145,0,0,0 +5515,shawn demetrius,shawn,demetrius,2013-08-25,Male,1970-06-11,45,Greater than 45,African-American,0,1,0,0,1,-1,2013-08-24 06:22:37,2013-08-26 08:51:07,13016203MM10A,2013-08-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-25,Risk of Violence,1,Low,2013-08-25,2013-08-24,2013-08-26,1,1,950,0,0,0 +5517,junior savoir,junior,savoir,2013-03-19,Male,1979-05-25,36,25 - 45,Other,0,4,0,0,0,-1,2013-03-18 10:24:17,2013-03-22 05:52:34,13003946CF10A,2013-03-18,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-19,Risk of Violence,2,Low,2013-03-19,2013-03-18,2013-03-22,0,3,1109,0,0,0 +5518,john hartsock,john,hartsock,2013-08-26,Male,1985-03-26,31,25 - 45,Caucasian,0,1,0,0,1,0,2013-08-26 02:58:09,2013-08-26 01:26:58,13016323MM10A,2013-08-25,,1,M,Driving Under The Influence,1,16002812CF10A,(M1),0,2016-03-05,,2016-03-05,2016-03-10,,0,,,,,Risk of Recidivism,1,Low,2013-08-26,Risk of Violence,1,Low,2013-08-26,2016-03-05,2016-03-10,1,0,922,1,0,0 +5519,derric taylor,derric,taylor,2013-04-25,Male,1976-03-10,40,25 - 45,African-American,0,1,0,0,0,-1,2013-04-24 05:34:54,2013-04-26 09:40:31,13007964MM10A,2013-04-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-24,2013-04-26,0,1,1072,0,0,0 +5520,robert gilbert,robert,gilbert,2013-12-30,Male,1966-02-18,50,Greater than 45,Caucasian,0,1,0,0,1,-4,2013-12-26 09:12:06,2013-12-28 02:38:17,13017960CF10A,,2013-12-26,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2013-12-26,2013-12-28,1,0,823,0,0,0 +5522,tina james,tina,james,2013-06-25,Female,1989-08-13,26,25 - 45,Other,0,6,0,0,1,-24,2013-06-01 05:12:35,2013-06-02 01:56:35,08021085MM10A,,2009-10-15,1349,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-06-25,Risk of Violence,4,Low,2013-06-25,2015-11-12,2015-11-12,1,0,870,0,0,0 +5524,robinson benjamin,robinson,benjamin,2013-09-04,Male,1974-08-18,41,25 - 45,African-American,0,4,0,0,7,0,2013-09-04 10:54:08,2013-09-05 07:50:31,12012054CF10A,,2013-09-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-04,2013-09-05,7,1,940,0,0,0 +5528,carly lipper,carly,lipper,2013-05-28,Female,1987-10-07,28,25 - 45,Caucasian,0,6,0,0,0,-1,2013-05-27 05:16:29,2013-05-29 05:22:26,13007533CF10A,2013-05-27,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-28,Risk of Violence,3,Low,2013-05-28,2013-08-24,2013-09-10,0,1,88,0,0,0 +5530,raymond joseph,raymond,joseph,2014-01-15,Male,1986-02-17,30,25 - 45,African-American,0,1,0,0,1,-48,2013-11-28 12:42:35,2014-01-15 10:22:07,13016540CF10A,2013-11-28,,48,F,Murder in 2nd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-15,Risk of Violence,2,Low,2014-01-15,2013-11-28,2014-01-15,1,0,807,0,0,0 +5534,julio ibanez,julio,ibanez,2013-01-09,Male,1980-10-28,35,25 - 45,Hispanic,0,2,0,0,5,-1,2013-01-08 02:08:35,2013-01-08 06:56:18,13000391MM10A,2013-01-07,,2,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2013-01-08,2013-01-08,5,0,1178,0,0,0 +5536,michael grisham,michael,grisham,2014-02-12,Male,1970-11-09,45,Greater than 45,African-American,0,9,0,0,1,-70,2013-12-04 08:10:54,2014-02-04 11:10:00,13001861CF10A,,2013-12-04,70,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-12,Risk of Violence,8,High,2014-02-12,2013-12-04,2014-02-04,1,0,779,0,0,0 +5542,sabrina milton,sabrina,milton,2013-11-04,Female,1985-11-07,30,25 - 45,African-American,0,2,0,0,0,-2,2013-11-02 11:13:20,2013-11-03 01:50:01,13020691MM10A,2013-11-02,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-04,Risk of Violence,2,Low,2013-11-04,2013-11-02,2013-11-03,0,0,879,0,0,0 +5543,earl sharp,earl,sharp,2013-05-22,Male,1971-02-12,45,Greater than 45,Caucasian,0,3,0,0,3,-1,2013-05-21 11:38:18,2013-08-22 09:33:30,13009780MM10A,2013-05-21,,1,M,Battery,1,14000931MM40A,(M1),,2013-11-24,Battery,,,,1,14000931MM40A,(M1),2013-11-24,Battery,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-21,2013-08-22,3,92,186,1,1,1 +5544,jennifer wiggs,jennifer,wiggs,2013-04-15,Female,1991-08-13,24,Less than 25,African-American,0,4,0,0,2,-1,2013-04-14 01:58:48,2013-04-15 07:59:24,13005361CF10A,2013-04-14,,1,F,Forging Bank Bills/Promis Note,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-15,Risk of Violence,4,Low,2013-04-15,2014-10-03,2014-10-08,2,0,536,0,0,0 +5546,mark onufer,mark,onufer,2013-11-20,Male,1959-11-02,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-19 08:52:59,2013-11-20 08:31:12,13021768MM10A,2013-11-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-11-19,2013-11-20,0,0,863,0,0,0 +5550,stanley rivers,stanley,rivers,2013-05-18,Male,1992-01-28,24,Less than 25,African-American,0,10,4,0,14,-1,2013-05-17 05:23:41,2013-11-13 05:58:39,13007047CF10A,2013-05-17,,1,F,Grand Theft (Motor Vehicle),1,14009008CF10A,(F2),,2014-06-30,Robbery,,,,1,14009008CF10A,(F2),2014-06-30,Robbery,Risk of Recidivism,10,High,2013-05-18,Risk of Violence,10,High,2013-05-18,2014-06-25,2014-08-26,14,179,408,1,1,1 +5551,terry ross,terry,ross,2013-08-03,Male,1977-10-25,38,25 - 45,African-American,0,6,0,0,11,-1,2013-08-02 09:45:18,2013-08-20 10:59:27,13010926CF10A,2013-08-02,,1,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-03,Risk of Violence,2,Low,2013-08-03,2013-08-02,2013-08-20,11,17,972,0,0,0 +5553,belal jabr,belal,jabr,2013-04-11,Male,1994-02-15,22,Less than 25,Caucasian,0,3,0,0,0,-1,2013-04-10 07:51:06,2013-04-11 07:48:52,13005168CF10A,2013-04-10,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-11,Risk of Violence,5,Medium,2013-04-11,2013-04-10,2013-04-11,0,0,1086,0,0,0 +5554,jean innocent,jean,innocent,2013-10-11,Male,1988-01-13,28,25 - 45,African-American,0,8,0,0,5,-1,2013-10-10 06:23:41,2013-10-11 08:20:50,12003079MM10A,,2013-10-10,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-11,Risk of Violence,6,Medium,2013-10-11,2013-10-10,2013-10-11,5,0,903,0,0,0 +5558,jesse montooth,jesse,montooth,2013-04-23,Male,1990-11-13,25,25 - 45,Caucasian,0,3,0,0,1,0,2013-04-23 02:54:38,2013-06-04 09:05:42,13007880MM10A,2013-04-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-23,Risk of Violence,4,Low,2013-04-23,2013-06-22,2013-06-26,1,42,60,0,0,0 +5560,fernando padron,fernando,padron,2013-02-04,Male,1963-01-08,53,Greater than 45,Hispanic,0,1,0,0,1,-1,2013-02-03 04:59:00,2013-02-04 07:14:28,13001693CF10A,2013-02-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-04-13,2013-04-13,1,0,68,0,0,0 +5561,christopher hall,christopher,hall,2013-10-29,Male,1985-05-09,30,25 - 45,African-American,0,1,0,0,0,-1,2013-10-28 04:30:30,2013-10-30 09:15:16,13015053CF10A,2013-10-28,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-29,Risk of Violence,1,Low,2013-10-29,2013-10-28,2013-10-30,0,1,885,0,0,0 +5563,steven benghiat,steven,benghiat,2013-04-19,Male,1982-12-22,33,25 - 45,Caucasian,0,6,0,0,0,0,2013-04-19 03:25:56,2013-04-19 07:26:13,13005630CF10A,2013-04-19,,0,F,Possession of Cocaine,1,14004481MM10A,(M1),0,2014-03-14,Battery,2014-03-14,2014-04-11,,1,14004481MM10A,(M1),2014-03-14,Battery,Risk of Recidivism,6,Medium,2013-04-19,Risk of Violence,3,Low,2013-04-19,2014-03-14,2014-04-11,0,0,329,1,1,1 +5564,kimiko wilkinson,kimiko,wilkinson,2013-02-09,Male,1980-12-14,35,25 - 45,African-American,0,4,0,0,5,-1,2013-02-08 01:19:12,2013-09-21 04:54:31,13002152CF10A,2013-02-08,,1,F,Aggrav Stalking After Injunctn,1,14007768CF10A,(F3),0,2014-06-05,Possession of Cocaine,2014-06-05,2015-02-02,,1,15000832MM20A,(M1),2015-02-25,Battery,Risk of Recidivism,4,Low,2013-02-09,Risk of Violence,3,Low,2013-02-09,2014-06-05,2015-02-02,5,224,481,1,1,1 +5567,mary mckinley,mary,mckinley,2013-12-27,Female,1982-10-19,33,25 - 45,African-American,0,2,0,0,0,-1,2013-12-26 06:52:59,2013-12-28 01:05:30,13017838CF10A,2013-12-26,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-27,Risk of Violence,2,Low,2013-12-27,2013-12-26,2013-12-28,0,1,826,0,0,0 +5568,viven mcdonald,viven,mcdonald,2013-04-03,Male,1950-10-03,65,Greater than 45,African-American,0,10,0,0,11,,,,07003603CF10A,2007-02-23,,2231,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-03,Risk of Violence,4,Low,2013-04-03,2007-03-02,2007-05-16,11,0,1094,0,0,0 +5569,michael kuruvilla,michael,kuruvilla,2013-09-26,Male,1956-06-11,59,Greater than 45,Other,0,1,0,0,1,-25,2013-09-01 10:54:33,2013-09-02 01:06:24,13016750MM10A,2013-09-01,,25,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2013-09-01,2013-09-02,1,0,918,0,0,0 +5572,sharon rouis,sharon,rouis,2014-01-09,Female,1978-09-30,37,25 - 45,African-American,0,5,0,0,4,,,,12015065MO10A,,2014-01-08,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-09,Risk of Violence,3,Low,2014-01-09,,,4,0,813,0,0,0 +5573,marcie denney,marcie,denney,2013-09-13,Female,1982-10-12,33,25 - 45,Caucasian,0,7,0,0,1,-1,2013-09-12 10:04:43,2013-12-06 04:12:00,11012788CF10A,,2013-09-12,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-13,Risk of Violence,5,Medium,2013-09-13,2013-09-12,2013-12-06,1,84,931,0,0,0 +5576,robert osceola,robert,osceola,2014-11-05,Male,1989-12-13,26,25 - 45,Native American,0,8,0,0,11,64,2015-01-08 12:49:54,2015-09-07 02:50:46,14013671CF10A,2014-06-08,,150,F,Possession of Cocaine,1,16000600MM40A,(M1),,2015-12-28,Battery,,,,1,16000600MM40A,(M1),2015-12-28,Battery,Risk of Recidivism,8,High,2014-11-05,Risk of Violence,5,Medium,2014-11-05,2015-01-08,2015-09-07,11,0,64,0,1,1 +5578,edward mckennie,edward,mckennie,2013-11-07,Male,1991-09-18,24,Less than 25,African-American,0,10,0,3,3,-1,2013-11-06 06:35:18,2013-12-20 09:11:24,13015455CF10A,2013-11-06,,1,F,Aggravated Assault W/Dead Weap,1,14013568MM10A,(M1),,2014-08-06,Battery,,,,1,14013568MM10A,(M1),2014-08-06,Battery,Risk of Recidivism,10,High,2013-11-07,Risk of Violence,9,High,2013-11-07,2013-11-06,2013-12-20,3,43,272,1,1,1 +5579,nathaniel scarborough,nathaniel,scarborough,2013-04-03,Male,1972-09-18,43,25 - 45,African-American,0,9,0,0,5,-1,2013-04-02 11:44:15,2013-04-03 02:42:40,13004734CF10A,2013-04-02,,1,F,Poss Wep Conv Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-03,Risk of Violence,5,Medium,2013-04-03,2013-04-02,2013-04-03,5,0,1094,0,0,0 +5583,jimmy sheppard,jimmy,sheppard,2014-05-30,Male,1978-12-24,37,25 - 45,African-American,0,7,0,0,11,-1,2014-05-29 08:59:15,2014-05-30 01:17:20,14008621MM10A,2014-05-29,,1,M,Battery,1,15010158MM10A,(M1),0,2015-09-26,Battery,2015-09-26,2015-11-25,,1,15010158MM10A,(M1),2015-09-26,Battery,Risk of Recidivism,7,Medium,2014-05-30,Risk of Violence,3,Low,2014-05-30,2014-09-17,2014-09-19,11,0,110,0,1,1 +5584,charles hawkins,charles,hawkins,2013-04-04,Male,1962-12-23,53,Greater than 45,African-American,0,7,0,0,13,-1,2013-04-03 04:57:52,2013-07-03 10:10:58,13004786CF10A,2013-04-03,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-04,Risk of Violence,6,Medium,2013-04-04,2013-04-03,2013-07-03,13,90,1093,0,0,0 +5585,montrez harris,montrez,harris,2013-03-06,Male,1972-11-11,43,25 - 45,African-American,0,1,0,0,4,-39,2013-01-26 04:30:09,2013-03-05 10:02:24,10014591CF10A,,2013-01-26,39,F,arrest case no charge,1,16000518MM10A,(M2),1,2016-01-15,Unnatural/Lascivious Act,2016-01-16,2016-01-21,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,1,Low,2013-03-06,2016-01-16,2016-01-21,4,0,1045,1,0,0 +5590,toni giarraputo,toni,giarraputo,2013-09-10,Female,1985-10-16,30,25 - 45,Caucasian,0,3,0,0,1,-27,2013-08-14 03:54:15,2013-08-14 08:26:49,13015398MM10A,2013-08-14,,27,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-10,Risk of Violence,2,Low,2013-09-10,2013-08-14,2013-08-14,1,0,934,0,0,0 +5593,fidel salnave,fidel,salnave,2013-01-29,Male,1978-07-04,37,25 - 45,Caucasian,0,4,0,0,4,0,2013-01-29 03:26:56,2013-01-29 09:19:35,13001419CF10A,2013-01-29,,0,M,Aggravated Battery / Pregnant,1,13016502MM10A,(M1),1,2013-08-28,Viol Injunct Domestic Violence,2013-08-29,2013-10-03,,1,14008377MM10A,(M2),2014-05-25,Assault,Risk of Recidivism,4,Low,2013-01-29,Risk of Violence,3,Low,2013-01-29,2015-01-21,2015-03-20,4,0,211,1,1,1 +5596,brian addeo,brian,addeo,2013-10-12,Male,1991-01-10,25,25 - 45,Caucasian,0,6,0,0,0,-1,2013-10-11 06:21:59,2013-10-13 07:53:41,13014255CF10A,2013-10-11,,1,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-12,Risk of Violence,4,Low,2013-10-12,2013-10-11,2013-10-13,0,1,902,0,0,0 +5598,melvin barraza,melvin,barraza,2013-08-30,Male,1989-10-04,26,25 - 45,Hispanic,0,5,0,0,1,0,2013-08-30 11:51:04,2013-08-31 01:57:53,13010846CF10A,,2013-08-30,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-30,Risk of Violence,3,Low,2013-08-30,2013-08-30,2013-08-31,1,1,945,0,0,0 +5599,elena gokun-diazyepez,elena,gokun-diazyepez,2013-01-28,Female,1988-02-19,28,25 - 45,Caucasian,0,6,0,0,0,-2,2013-01-26 04:03:40,2013-01-27 02:03:52,13001879MO10A,2013-01-26,,2,M,DOC/Cause Public Danger,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-28,Risk of Violence,2,Low,2013-01-28,2013-01-26,2013-01-27,0,0,1159,0,0,0 +5601,jong lee,jong,lee,2013-01-12,Male,1957-04-28,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-11 05:59:50,2013-01-14 11:02:16,13000662CF10A,,2013-01-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-12,Risk of Violence,1,Low,2013-01-12,2014-02-04,2014-02-14,1,2,388,0,0,0 +5604,michael ottey,michael,ottey,2014-01-03,Male,1983-04-17,33,25 - 45,African-American,0,5,0,0,8,0,2014-01-03 06:25:02,2014-01-06 01:29:56,14000145CF10A,2014-01-03,,0,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-03,Risk of Violence,3,Low,2014-01-03,2014-01-03,2014-01-06,8,3,819,0,0,0 +5605,patrick housen,patrick,housen,2014-01-19,Male,1977-09-08,38,25 - 45,African-American,0,1,0,0,0,-1,2014-01-18 01:29:20,2014-01-19 09:10:09,14000782CF10A,,2014-01-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-19,Risk of Violence,1,Low,2014-01-19,2014-01-18,2014-01-19,0,0,803,0,0,0 +5607,amon brasher,amon,brasher,2014-01-08,Male,1977-10-08,38,25 - 45,Caucasian,0,3,0,0,2,-21,2013-12-18 08:35:42,2014-01-06 09:27:23,13017460CF10A,2013-12-18,,21,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-08,Risk of Violence,2,Low,2014-01-08,2013-12-18,2014-01-06,2,0,814,0,0,0 +5612,eddie mcgowan,eddie,mcgowan,2014-03-04,Male,1958-10-14,57,Greater than 45,African-American,0,5,0,0,9,,,,13016798CF10A,2013-12-04,,90,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-04,Risk of Violence,5,Medium,2014-03-04,2000-06-27,2002-01-19,9,0,759,0,0,0 +5614,kandyce sapp,kandyce,sapp,2014-11-14,Male,1983-01-30,33,25 - 45,African-American,0,8,0,0,2,-1,2014-11-13 12:10:56,2014-11-14 08:36:47,14015275CF10A,2014-11-13,,1,F,Aggrav Battery w/Deadly Weapon,1,15007478MM10A,(M1),0,2015-07-13,Trespass Other Struct/Convey,2015-07-13,2015-07-13,,1,15010885MM10A,(M1),2015-10-17,Battery,Risk of Recidivism,8,High,2014-11-14,Risk of Violence,7,Medium,2014-11-14,2015-07-13,2015-07-13,2,0,241,0,1,1 +5617,james torgerson,james,torgerson,2014-01-20,Male,1957-10-13,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-01-19 09:53:29,2014-01-20 08:18:08,14000969MM10A,2014-01-18,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-20,Risk of Violence,1,Low,2014-01-20,2014-01-19,2014-01-20,1,0,802,0,0,0 +5618,jose uman,jose,uman,2013-09-14,Male,1964-08-06,51,Greater than 45,Caucasian,0,1,0,0,1,,,,13017500MM10A,2013-09-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-14,Risk of Violence,1,Low,2013-09-14,,,1,0,930,0,0,0 +5621,james williams,james,williams,2013-04-12,Male,1962-12-18,53,Greater than 45,Caucasian,0,4,0,0,2,-1,2013-04-11 11:19:05,2013-05-22 02:10:17,13005238CF10A,2013-04-11,,1,F,Fail Sex Offend Report Bylaw,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,2013-04-11,2013-05-22,2,40,1085,0,0,0 +5627,delvin mcdougle,delvin,mcdougle,2014-05-29,Male,1980-09-08,35,25 - 45,African-American,0,8,0,0,6,-1,2014-05-28 07:21:57,2014-06-08 04:15:39,14007415CF10A,2014-05-28,,1,F,Uttering a Forged Instrument,1,14008665CF10A,(F1),1,2014-06-22,Aggravated Battery On 65/Older,2014-06-23,2015-12-03,,1,14008665CF10A,(F1),2014-06-22,Aggravated Battery On 65/Older,Risk of Recidivism,8,High,2014-05-29,Risk of Violence,6,Medium,2014-05-29,2014-05-28,2014-06-08,6,10,24,1,1,1 +5628,norman regg,norman,regg,2013-09-30,Male,1976-06-22,39,25 - 45,Caucasian,0,1,0,0,1,-1,2013-09-29 04:31:28,2013-09-30 08:43:42,13012761CF10A,,2013-09-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,1,0,914,0,0,0 +5631,martin cordero,martin,cordero,2013-02-22,Male,1979-07-28,36,25 - 45,Hispanic,0,9,0,0,1,-14,2013-02-08 07:10:53,2013-02-22 10:51:00,13003154MM10A,2013-02-08,,14,M,Extradition/Defendants,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-22,Risk of Violence,4,Low,2013-02-22,2013-02-08,2013-02-22,1,0,1134,0,0,0 +5633,archange pierre,archange,pierre,2013-03-02,Male,1978-08-13,37,25 - 45,African-American,0,2,0,0,0,-1,2013-03-01 07:33:15,2013-03-02 01:13:00,13004231MM10A,2013-03-01,,1,M,Tresspass Struct/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-02,Risk of Violence,2,Low,2013-03-02,2013-03-01,2013-03-02,0,0,1126,0,0,0 +5634,jacek jodlowski,jacek,jodlowski,2013-05-13,Male,1976-12-08,39,25 - 45,Caucasian,0,1,0,0,0,-1,2013-05-12 09:23:55,2013-05-15 10:49:50,13006799CF10A,2013-05-12,,1,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-15,0,2,1054,0,0,0 +5635,lisa kaye,lisa,kaye,2013-11-26,Female,1963-10-08,52,Greater than 45,Caucasian,0,1,0,0,3,-25,2013-11-01 03:19:41,2013-11-01 07:54:46,13020656MM10A,2013-11-01,,25,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2013-11-01,2013-11-01,3,0,857,0,0,0 +5637,alexander jolly,alexander,jolly,2014-02-23,Male,1955-08-02,60,Greater than 45,Other,0,1,0,0,1,-1,2014-02-22 05:53:23,2014-02-23 08:19:26,14003111MM10A,2014-02-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-23,Risk of Violence,1,Low,2014-02-23,2014-02-22,2014-02-23,1,0,768,0,0,0 +5638,israel lopez,israel,lopez,2013-05-29,Male,1979-01-15,37,25 - 45,Hispanic,0,1,0,0,2,-1,2013-05-28 03:04:23,2013-05-29 02:34:17,13007603CF10A,2013-05-28,,1,M,Aggravated Battery / Pregnant,1,15053446TC20A,(M2),,2015-09-26,Permit Unauthorized Minor Drv,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-28,2013-05-29,2,0,850,1,0,0 +5644,raul casanova-costa,raul,casanova-costa,2014-06-24,Male,1971-08-18,44,25 - 45,Hispanic,0,1,0,0,0,,,,,,,,M,,1,15004530CF10A,(F3),0,2015-04-06,Resist Officer w/Violence,2015-04-06,2015-04-06,,1,15004530CF10A,(F3),2015-04-06,Battery on Law Enforc Officer,Risk of Recidivism,1,Low,2014-06-24,Risk of Violence,1,Low,2014-06-24,2015-04-06,2015-04-06,0,0,286,0,1,1 +5646,malcolm turner,malcolm,turner,2013-04-26,Male,1992-08-05,23,Less than 25,African-American,0,6,0,0,6,0,2013-04-26 05:16:50,2013-04-27 07:43:41,13006041CF10A,2013-04-26,,0,F,Possession of Cocaine,1,13014271MM10A,(M2),30,2013-06-27,Petit Theft,2013-07-27,2013-09-23,,1,15016350CF10A,(F3),2015-12-22,Battery on Law Enforc Officer,Risk of Recidivism,6,Medium,2013-04-26,Risk of Violence,7,Medium,2013-04-26,2013-04-26,2013-04-27,6,1,62,1,1,1 +5649,jessica thomson,jessica,thomson,2013-10-15,Female,1987-12-09,28,25 - 45,Caucasian,0,3,0,0,2,-36,2013-09-09 12:02:08,2013-10-15 09:12:52,13008998CF10A,,2013-09-09,36,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-15,Risk of Violence,2,Low,2013-10-15,2013-09-09,2013-10-15,2,0,899,0,0,0 +5650,ricauter espino,ricauter,espino,2013-08-07,Male,1987-05-14,28,25 - 45,African-American,0,4,0,0,5,0,2013-08-07 01:24:56,2013-08-07 11:21:37,13011027CF10A,2013-08-06,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-07,Risk of Violence,4,Low,2013-08-07,2013-08-07,2013-08-07,5,0,968,0,0,0 +5651,patrick tinnell,patrick,tinnell,2013-05-03,Male,1977-12-06,38,25 - 45,Caucasian,0,5,0,0,12,-1,2013-05-02 09:10:49,2013-05-03 07:35:53,13006461CF10A,2013-05-02,,1,F,Grand Theft of the 2nd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-03,Risk of Violence,3,Low,2013-05-03,2013-05-02,2013-05-03,12,0,1064,0,0,0 +5654,brian haynes,brian,haynes,2013-10-19,Male,1973-12-17,42,25 - 45,African-American,0,5,0,0,0,-1,2013-10-18 10:21:40,2013-10-19 08:50:58,13014602CF10A,2013-10-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-19,Risk of Violence,5,Medium,2013-10-19,2013-10-18,2013-10-19,0,0,895,0,0,0 +5655,jennifer vazquez,jennifer,vazquez,2014-01-16,Female,1990-06-13,25,25 - 45,Caucasian,0,3,0,0,0,-1,2014-01-15 11:55:47,2014-01-16 02:31:04,14000752MM10A,2014-01-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-16,Risk of Violence,3,Low,2014-01-16,2014-01-15,2014-01-16,0,0,806,0,0,0 +5657,jeff reveille,jeff,reveille,2013-02-27,Male,1983-10-16,32,25 - 45,African-American,0,9,0,0,7,0,2013-02-27 05:00:06,2013-04-05 06:02:00,13002969CF10A,2013-02-27,,0,F,Grand Theft (Motor Vehicle),1,13010688CF10A,(F3),0,2013-07-31,Tampering With Physical Evidence,2013-07-31,2013-10-11,,1,16000257MM10A,(M1),2016-01-07,Battery,Risk of Recidivism,9,High,2013-02-27,Risk of Violence,9,High,2013-02-27,2013-07-31,2013-10-11,7,37,154,1,1,1 +5659,stacy massaro,stacy,massaro,2013-10-09,Female,1981-03-30,35,25 - 45,Caucasian,0,5,0,0,1,-30,2013-09-09 12:52:13,2013-10-08 08:55:56,13017187MM10A,2013-09-09,,30,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-09,Risk of Violence,2,Low,2013-10-09,2013-09-09,2013-10-08,1,0,905,0,0,0 +5660,justin scharenbroich,justin,scharenbroich,2013-02-19,Male,1978-11-15,37,25 - 45,Caucasian,0,5,0,0,0,-1,2013-02-18 12:07:07,2013-06-25 07:31:42,13002625CF10A,2013-02-18,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-18,2013-06-25,0,126,1137,0,0,0 +5664,margaret idowu,margaret,idowu,2013-10-22,Female,1983-03-02,33,25 - 45,African-American,0,2,0,0,2,0,2013-10-22 04:22:46,2013-10-22 07:31:15,13014747CF10A,2013-10-22,,0,F,Failure To Return Hired Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-22,2013-10-22,2,0,892,0,0,0 +5665,francine jackson,francine,jackson,2013-02-04,Female,1964-12-14,51,Greater than 45,Caucasian,0,3,0,0,4,-11,2013-01-24 07:21:41,2013-02-01 09:41:37,13001159CF10A,,2013-01-24,11,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-03-28,2013-04-16,4,0,52,0,0,0 +5666,erick philhower,erick,philhower,2013-04-18,Male,1976-04-27,39,25 - 45,Caucasian,0,4,0,0,3,-1,2013-04-17 09:27:09,2013-04-20 07:47:57,13005487CF10A,2013-04-17,,1,F,Possession of Hydromorphone,1,15014306CF10A,(F3),1,2015-11-02,Poss Pyrrolidinovalerophenone,2015-11-03,2015-11-12,,0,,,,,Risk of Recidivism,4,Low,2013-04-18,Risk of Violence,2,Low,2013-04-18,2013-04-17,2013-04-20,3,2,928,1,0,0 +5667,fermin grajales,fermin,grajales,2013-03-27,Male,1980-10-28,35,25 - 45,Hispanic,0,6,0,0,5,-1,2013-03-26 05:31:34,2013-03-28 08:56:16,13005903MM10A,2013-03-26,,1,M,Viol Pretrial Release Dom Viol,1,14001502MM10A,(M1),0,2014-01-27,Battery,2014-01-27,2014-01-28,,1,14001502MM10A,(M2),2014-01-27,Assault,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,6,Medium,2013-03-27,2014-01-27,2014-01-28,5,1,306,1,1,1 +5668,allen killings,allen,killings,2013-05-19,Male,1975-09-27,40,25 - 45,African-American,0,7,0,0,3,-1,2013-05-18 09:53:50,2013-05-31 10:07:03,13007111CF10A,2013-05-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-19,Risk of Violence,8,High,2013-05-19,2013-05-18,2013-05-31,3,12,1048,0,0,0 +5672,peter mcfield,peter,mcfield,2013-11-25,Male,1979-02-25,37,25 - 45,Other,0,1,0,0,0,-1,2013-11-24 08:53:31,2013-11-25 08:20:59,13022078MM10A,2013-11-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-24,2013-11-25,0,0,858,0,0,0 +5675,william shaw,william,shaw,2013-08-14,Male,1968-05-17,47,Greater than 45,Caucasian,0,3,0,0,5,0,2013-08-14 05:45:53,2013-08-14 09:05:13,13015381MM10A,2013-08-14,,0,M,Viol Injunct Domestic Violence,1,13015080CF10A,(F2),0,2013-10-29,Aggrav Battery w/Deadly Weapon,2013-10-29,2013-11-10,,1,13015080CF10A,(F2),2013-10-29,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,3,Low,2013-08-14,Risk of Violence,2,Low,2013-08-14,2013-10-29,2013-11-10,5,0,76,1,1,1 +5676,emily vanhuss,emily,vanhuss,2013-01-14,Female,1993-01-17,23,Less than 25,Caucasian,0,7,0,0,0,-1,2013-01-13 04:51:21,2013-01-14 01:37:46,13000785MO10A,2013-01-13,,1,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-14,Risk of Violence,5,Medium,2013-01-14,2013-01-13,2013-01-14,0,0,1173,0,0,0 +5677,robert griffin,robert,griffin,2013-10-03,Male,1953-03-06,63,Greater than 45,Caucasian,0,4,0,0,10,0,2013-10-03 02:28:42,2013-10-05 04:18:17,13013891CF10A,2013-10-03,,0,F,Corrupt Public Servant,1,14013119CF10A,(M2),1,2014-09-27,Disorderly Intoxication,2014-09-28,2014-10-28,,1,14013119CF10A,(F3),2014-09-27,Battery on Law Enforc Officer,Risk of Recidivism,4,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-12-12,2013-12-14,10,2,70,0,1,1 +5678,larry motts,larry,motts,2013-05-17,Male,1978-04-01,38,25 - 45,African-American,0,9,1,0,16,-1,2013-05-16 05:17:01,2014-01-13 02:08:20,13007004CF10A,2013-05-16,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,1,15007157CF10A,(F3),1,2015-05-31,Felony Battery w/Prior Convict,2015-06-01,2015-10-13,,1,15007157CF10A,(F3),2015-05-31,Felony Battery (Dom Strang),Risk of Recidivism,9,High,2013-05-17,Risk of Violence,10,High,2013-05-17,2013-05-16,2014-01-13,16,241,744,1,1,1 +5681,kelsian kelly,kelsian,kelly,2013-12-08,Male,1985-02-15,31,25 - 45,African-American,0,8,0,0,4,-1,2013-12-07 04:12:04,2013-12-31 08:45:57,13016933CF10A,2013-12-07,,1,F,Tampering With Physical Evidence,1,14001057CF10A,(F2),0,2014-01-24,Deliver Cocaine,2014-01-24,2014-02-18,,1,14016345CF10A,(F1),2014-12-06,Attempt Felony Murder,Risk of Recidivism,8,High,2013-12-08,Risk of Violence,3,Low,2013-12-08,2014-01-24,2014-02-18,4,23,47,1,1,1 +5684,rupert lyn,rupert,lyn,2013-04-20,Male,1992-06-10,23,Less than 25,African-American,0,3,0,0,0,0,2013-04-20 02:46:27,2013-04-21 04:15:10,13005684CF10A,2013-04-19,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-20,Risk of Violence,3,Low,2013-04-20,2013-04-20,2013-04-21,0,1,1077,0,0,0 +5685,mario raudales,mario,raudales,2013-05-28,Male,1977-11-04,38,25 - 45,Hispanic,0,5,0,0,1,-1,2013-05-27 06:31:39,2013-09-30 12:05:07,13010139MM10A,2013-05-27,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-27,2013-09-30,1,125,1039,0,0,0 +5686,anne schatzberg,anne,schatzberg,2013-07-29,Female,1968-06-24,47,Greater than 45,Caucasian,0,1,0,0,0,-3,2013-07-26 04:10:44,2013-07-26 06:52:48,13014193MM10A,2013-07-26,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-26,2013-07-26,0,0,977,0,0,0 +5689,joseph cioffi,joseph,cioffi,2013-07-05,Male,1993-05-23,22,Less than 25,Caucasian,0,4,0,0,1,-11,2013-06-24 09:31:14,2013-07-03 09:11:19,13008886CF10A,2013-06-24,,11,F,Grand Theft (Motor Vehicle),1,16005176TC20A,(M2),,2016-02-03,Driving while DL Susp / Financial Resp,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-05,Risk of Violence,5,Medium,2013-07-05,2013-06-24,2013-07-03,1,0,943,1,0,0 +5691,thomas bickis,thomas,bickis,2013-01-24,Male,1989-07-13,26,25 - 45,Caucasian,0,3,0,0,1,318,2013-12-08 10:09:26,2013-12-16 09:14:25,12015728MM10A,2012-07-31,,177,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-24,Risk of Violence,4,Low,2013-01-24,2013-12-08,2013-12-16,1,0,318,0,0,0 +5695,maria sherman,maria,sherman,2013-05-07,Female,1950-07-29,65,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-07 02:20:22,2013-05-08 03:00:01,13008835MM10A,2013-05-06,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2013-05-07,2013-05-08,0,1,1060,0,0,0 +5697,taketha lherisse,taketha,lherisse,2013-08-24,Female,1993-05-05,22,Less than 25,African-American,0,3,0,0,0,-1,2013-08-23 05:49:07,2013-08-24 08:38:31,13016167MM10A,2013-08-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-24,Risk of Violence,4,Low,2013-08-24,2013-08-23,2013-08-24,0,0,951,0,0,0 +5698,glenn nieves,glenn,nieves,2013-04-01,Male,1981-05-19,34,25 - 45,Hispanic,0,1,0,0,0,0,2013-04-01 04:50:00,2013-04-01 06:11:43,13006252MM10A,2013-04-01,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-04-01,2013-04-01,0,0,1096,0,0,0 +5699,concepcion leon,concepcion,leon,2013-11-03,Female,1977-11-13,38,25 - 45,Hispanic,0,1,0,0,0,-1,2013-11-02 06:52:51,2013-11-03 04:33:47,13015289CF10A,2013-11-01,,2,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-11-03,0,0,880,0,0,0 +5703,pedro lopezgaya,pedro,lopezgaya,2013-04-29,Male,1966-06-12,49,Greater than 45,Hispanic,0,1,0,0,0,-3,2013-04-26 11:44:31,2013-04-27 01:18:43,13006015CF10A,2013-04-26,,3,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-26,2013-04-27,0,0,1068,0,0,0 +5707,lee williams,lee,williams,2014-02-25,Male,1959-12-31,56,Greater than 45,African-American,0,4,0,0,7,-167,2013-09-11 05:00:11,2013-10-30 09:57:26,13012848CF10A,2013-09-11,,167,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-25,Risk of Violence,4,Low,2014-02-25,2015-09-28,2015-10-20,7,0,580,0,0,0 +5716,brisley pierre,brisley,pierre,2014-02-16,Male,1981-10-19,34,25 - 45,African-American,0,1,0,0,5,-1,2014-02-15 05:36:32,2014-02-19 07:34:06,14002167CF10A,2014-02-15,,1,F,Agg Assault W/int Com Fel Dome,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-16,Risk of Violence,2,Low,2014-02-16,2014-02-15,2014-02-19,5,3,775,0,0,0 +5719,brushod goodrum,brushod,goodrum,2014-01-28,Male,1995-04-14,21,Less than 25,African-American,0,7,1,2,1,-1,2014-01-27 07:40:16,2014-01-28 01:36:11,14001185CF10A,2014-01-27,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-28,Risk of Violence,9,High,2014-01-28,2014-08-31,2014-09-17,1,0,215,0,0,0 +5722,richard campbell,richard,campbell,2013-10-24,Male,1969-10-19,46,Greater than 45,African-American,0,4,0,0,9,-1,2013-10-23 11:12:17,2013-10-28 12:40:39,13014822CF10A,2013-10-23,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-24,Risk of Violence,2,Low,2013-10-24,2013-10-23,2013-10-28,9,4,890,0,0,0 +5723,carleb charles,carleb,charles,2013-04-29,Male,1993-10-11,22,Less than 25,African-American,0,6,0,0,2,250,2014-01-04 11:06:47,2014-03-24 09:35:08,13002797MM10A,2013-01-14,,105,M,Battery,1,14000176MM10A,(M1),0,2014-01-04,Resist/Obstruct W/O Violence,2014-01-04,2014-03-24,,1,14000176MM10A,(M2),2014-01-04,Assault,Risk of Recidivism,6,Medium,2013-04-29,Risk of Violence,6,Medium,2013-04-29,2014-01-04,2014-03-24,2,0,250,1,1,1 +5724,malcolm yount,malcolm,yount,2013-05-03,Male,1959-02-21,57,Greater than 45,Caucasian,0,4,0,0,1,-1,2013-05-02 02:18:14,2013-05-03 07:15:08,13008536MM10A,2013-05-02,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-03,Risk of Violence,3,Low,2013-05-03,2015-01-01,2015-01-13,1,0,608,0,0,0 +5727,michael stephenson,michael,stephenson,2013-05-23,Male,1975-07-16,40,25 - 45,African-American,0,5,0,0,21,-1,2013-05-22 07:09:03,2013-06-21 05:30:00,13007315CF10A,2013-05-22,,1,F,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-23,Risk of Violence,3,Low,2013-05-23,2013-05-22,2013-06-21,21,29,1044,0,0,0 +5728,shameka wright,shameka,wright,2013-03-16,Female,1985-06-13,30,25 - 45,African-American,0,2,0,0,1,-1,2013-03-15 11:21:37,2013-03-16 07:55:41,12016112CF10A,,2013-03-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-16,Risk of Violence,1,Low,2013-03-16,2013-03-15,2013-03-16,1,0,1112,0,0,0 +5729,michael woodson,michael,woodson,2013-12-17,Male,1994-12-28,21,Less than 25,Caucasian,0,7,1,0,4,-1,2013-12-16 03:44:25,2014-01-18 05:14:41,13023279MM10A,2013-12-16,,1,M,Battery,1,14009393CF10A,(F2),0,2014-07-09,Robbery / No Weapon,2014-07-09,2015-03-08,,1,14009393CF10A,(F2),2014-07-09,Robbery / No Weapon,Risk of Recidivism,7,Medium,2013-12-17,Risk of Violence,6,Medium,2013-12-17,2014-07-09,2015-03-08,4,32,204,1,1,1 +5730,sylena mayes,sylena,mayes,2014-02-09,Female,1976-05-24,39,25 - 45,African-American,0,10,2,0,22,-1,2014-02-08 09:20:45,2014-02-12 09:20:16,14001779CF10A,2014-02-08,,1,F,Possession of Cocaine,1,14001331MM40A,(M1),,2014-03-02,Resist/Obstruct W/O Violence,,,,1,15007147CF10A,(F2),2015-05-24,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2014-02-09,Risk of Violence,3,Low,2014-02-09,2014-02-08,2014-02-12,22,3,21,1,1,1 +5733,nadege fixalant,nadege,fixalant,2013-03-22,Male,1991-11-03,24,Less than 25,African-American,0,3,0,0,0,0,2013-03-22 12:42:13,2013-03-22 01:31:13,13004083CF10A,2013-03-20,,2,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,4,Low,2013-03-22,2013-03-22,2013-03-22,0,0,1106,0,0,0 +5736,susan abrames,susan,abrames,2013-10-19,Female,1971-02-21,45,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-19 05:10:30,2013-10-20 08:38:16,13019810MM10A,2013-10-19,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-19,Risk of Violence,1,Low,2013-10-19,2013-10-19,2013-10-20,0,1,895,0,0,0 +5738,ornan antoine,ornan,antoine,2013-09-09,Male,1964-06-14,51,Greater than 45,African-American,0,3,0,0,3,-18,2013-08-22 02:08:31,2013-08-24 05:03:08,13011842CF10A,2013-08-22,,18,F,DWI w/Inj Susp Lic / Habit Off,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,2,Low,2013-09-09,2013-08-22,2013-08-24,3,0,935,0,0,0 +5741,aleksandr do,aleksandr,do,2013-05-08,Male,1988-09-01,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-07 11:30:29,2013-05-09 04:30:45,13008830MM10A,2013-05-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-08,Risk of Violence,3,Low,2013-05-08,2013-05-07,2013-05-09,0,1,1059,0,0,0 +5742,joseph lopez,joseph,lopez,2014-01-17,Male,1983-06-21,32,25 - 45,African-American,0,2,0,0,1,-1,2014-01-16 11:12:39,2014-01-17 09:32:03,13015447CF10A,,2014-01-16,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-17,Risk of Violence,3,Low,2014-01-17,2014-01-16,2014-01-17,1,0,805,0,0,0 +5743,wayne jensen,wayne,jensen,2013-08-26,Male,1966-07-22,49,Greater than 45,Caucasian,0,1,0,0,0,-3,2013-08-23 11:31:53,2013-08-24 02:16:48,13016182MM10A,2013-08-23,,3,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-26,Risk of Violence,1,Low,2013-08-26,2013-08-23,2013-08-24,0,0,949,0,0,0 +5745,kelvin howard,kelvin,howard,2013-08-19,Male,1986-06-10,29,25 - 45,African-American,0,3,0,0,2,-1,2013-08-18 07:04:42,2013-09-14 08:47:48,13011585CF10A,2013-08-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-19,Risk of Violence,2,Low,2013-08-19,2013-08-18,2013-09-14,2,26,956,0,0,0 +5749,mories abdo,mories,abdo,2013-02-16,Male,1985-10-09,30,25 - 45,Asian,0,3,0,0,6,-1,2013-02-15 04:08:23,2013-02-16 01:20:46,13003356MM10A,2013-02-15,,1,M,Battery,1,15001199MM30A,(M1),,2015-07-02,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-16,Risk of Violence,2,Low,2013-02-16,2013-02-15,2013-02-16,6,0,866,1,0,0 +5750,rodney lewis,rodney,lewis,2013-06-13,Male,1960-06-05,55,Greater than 45,African-American,0,6,0,0,12,-69,2013-04-05 02:27:27,2013-06-13 11:42:07,13004885CF10A,2013-04-04,,70,F,Possession of Cocaine,1,14004500CF10A,(F2),0,2014-03-31,Aggravated Battery / Pregnant,2014-03-31,2014-06-17,,1,14004500CF10A,(F2),2014-03-31,Aggravated Battery / Pregnant,Risk of Recidivism,6,Medium,2013-06-13,Risk of Violence,2,Low,2013-06-13,2014-03-31,2014-06-17,12,0,291,1,1,1 +5753,christopher ayala,christopher,ayala,2013-01-19,Male,1985-10-17,30,25 - 45,Caucasian,0,4,0,0,0,0,2013-01-19 02:18:46,2013-03-16 11:21:32,13001326MM10A,2013-01-18,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-19,Risk of Violence,5,Medium,2013-01-19,2014-07-16,2014-07-23,0,56,543,0,0,0 +5755,jean korkis,jean,korkis,2013-07-26,Male,1959-06-05,56,Greater than 45,Caucasian,0,1,0,0,2,-39,2013-06-17 02:41:04,2013-06-18 06:41:41,13008550CF10A,2013-06-17,,39,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-26,Risk of Violence,1,Low,2013-07-26,2013-06-17,2013-06-18,2,0,980,0,0,0 +5756,rafael mondelus,rafael,mondelus,2013-09-25,Male,1982-08-25,33,25 - 45,African-American,0,6,0,0,4,0,2013-09-25 12:23:32,2013-09-25 08:09:19,13013442CF10A,2013-09-24,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-25,Risk of Violence,2,Low,2013-09-25,2013-11-17,2013-11-18,4,0,53,0,0,0 +5757,seccunda davis,seccunda,davis,2013-08-19,Male,1987-05-13,28,25 - 45,African-American,0,2,0,0,1,-1,2013-08-18 07:25:24,2013-08-19 09:01:42,13015644MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-19,Risk of Violence,3,Low,2013-08-19,2013-08-18,2013-08-19,1,0,956,0,0,0 +5759,brandon mccutchen,brandon,mccutchen,2013-03-22,Male,1987-03-04,29,25 - 45,African-American,0,8,0,0,1,-1,2013-03-21 05:39:06,2013-05-01 02:42:24,13004341CF10A,2013-03-21,,1,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-22,Risk of Violence,8,High,2013-03-22,2013-03-21,2013-05-01,1,40,1106,0,0,0 +5760,stuart velky,stuart,velky,2014-03-16,Male,1978-01-13,38,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-15 11:22:26,2014-03-16 08:27:01,14010440MU10A,2014-03-15,,1,M,DUI Blood Alcohol Above 0.20,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0,0 +5761,ian mullarky,ian,mullarky,2014-03-25,Male,1978-12-19,37,25 - 45,Caucasian,0,3,0,0,0,-1,2014-03-24 09:41:54,2014-03-25 08:54:16,14004178CF10A,2014-03-24,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-25,Risk of Violence,2,Low,2014-03-25,2014-03-24,2014-03-25,0,0,738,0,0,0 +5763,ray ortiz,ray,ortiz,2013-02-24,Male,1985-11-25,30,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-24 04:24:51,2013-02-24 06:38:51,13002815CF10A,2013-02-24,,0,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-24,Risk of Violence,2,Low,2013-02-24,2013-02-24,2013-02-24,0,0,1132,0,0,0 +5765,cornelius green,cornelius,green,2013-04-09,Male,1964-05-18,51,Greater than 45,African-American,1,9,0,1,19,-1,2013-04-08 06:47:45,2013-04-21 11:55:21,13005068CF10A,2013-04-08,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-09,Risk of Violence,4,Low,2013-04-09,2014-03-19,2014-03-25,19,12,344,0,0,0 +5768,henry rumph,henry,rumph,2013-10-24,Male,1950-11-16,65,Greater than 45,African-American,0,5,0,0,7,-1,2013-10-23 04:20:47,2013-10-24 02:07:45,13014809CF10A,2013-10-23,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-24,Risk of Violence,1,Low,2013-10-24,2015-06-23,2015-07-14,7,0,607,0,0,0 +5769,naita james,naita,james,2013-12-16,Female,1983-09-08,32,25 - 45,African-American,0,1,0,0,1,-1,2013-12-15 05:33:45,2013-12-16 01:04:00,13023234MM10A,2013-12-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,1,0,837,0,0,0 +5773,elijah horne,elijah,horne,2013-01-17,Male,1980-11-27,35,25 - 45,African-American,0,4,0,0,1,-1,2013-01-16 11:55:37,2013-01-17 07:15:00,13000782CF10A,2013-01-16,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-17,Risk of Violence,3,Low,2013-01-17,2015-10-27,2015-10-27,1,0,1013,0,0,0 +5774,roger barteau,roger,barteau,2013-06-12,Male,1958-07-10,57,Greater than 45,Caucasian,0,1,0,0,1,-26,2013-05-17 10:57:12,2013-05-18 04:35:45,13007075CF10A,2013-05-17,,26,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-12,Risk of Violence,1,Low,2013-06-12,2013-05-17,2013-05-18,1,0,1024,0,0,0 +5776,michael cortez,michael,cortez,2013-01-24,Male,1990-04-05,26,25 - 45,Caucasian,0,3,0,0,1,0,2013-01-24 12:37:35,2013-01-24 10:48:46,13001101CF10A,,2013-01-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-01-24,2013-01-24,1,0,1163,0,0,0 +5778,lorraine francisco,lorraine,francisco,2014-09-17,Female,1992-11-22,23,Less than 25,Hispanic,0,8,3,1,7,-228,2014-02-01 04:16:53,2014-02-02 08:56:00,14001216MM40A,2014-03-02,,199,M,Battery,1,15005890CF10A,(M1),0,2015-05-05,Battery,2015-05-05,2015-06-10,,1,15005890CF10A,(M1),2015-05-05,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2014-09-17,Risk of Violence,5,Medium,2014-09-17,2015-05-05,2015-06-10,7,0,230,1,1,1 +5779,ralph johnson,ralph,johnson,2014-05-06,Female,1979-10-12,36,25 - 45,African-American,2,6,0,0,4,-1,2014-05-05 07:23:18,2014-05-07 03:34:51,14007449MM10A,2014-05-05,,1,M,Battery,1,15000954MM20A,(M2),,2015-03-15,Trespass Struct/Conveyance,,,,1,15010665MM10A,(M2),2015-09-10,Assault,Risk of Recidivism,6,Medium,2014-05-06,Risk of Violence,3,Low,2014-05-06,2014-05-05,2014-05-07,4,1,313,1,1,1 +5784,daniel murphy,daniel,murphy,2014-12-12,Male,1981-04-11,35,25 - 45,Caucasian,0,5,0,0,3,-1,2014-12-11 04:17:47,2014-12-12 08:48:06,14016475CF10A,2014-12-11,,1,F,Possession of Cocaine,1,14018078MM10A,(M1),1,2014-12-26,Battery,2014-12-27,2015-02-20,,1,14018078MM10A,(M1),2014-12-26,Battery,Risk of Recidivism,5,Medium,2014-12-12,Risk of Violence,3,Low,2014-12-12,2015-03-13,2015-04-27,3,0,14,1,1,1 +5785,wilny marc,wilny,marc,2013-12-13,Male,1982-09-17,33,25 - 45,African-American,0,1,0,0,0,-1,2013-12-12 03:14:03,2013-12-13 01:14:04,13017194CF10A,2013-12-12,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-13,Risk of Violence,1,Low,2013-12-13,2015-04-07,2015-04-14,0,0,480,0,0,0 +5787,teresa hoagland,teresa,hoagland,2013-05-05,Male,1969-03-04,47,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-05 04:15:36,2013-05-06 12:09:26,13008693MM10A,2013-05-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-05,Risk of Violence,1,Low,2013-05-05,2013-05-05,2013-05-06,0,1,1062,0,0,0 +5789,joana gomezmartinez,joana,gomezmartinez,2013-08-24,Female,1962-06-24,53,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-08-23 05:20:55,2013-08-24 02:07:54,13016181MM10A,2013-08-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-24,Risk of Violence,1,Low,2013-08-24,2013-08-23,2013-08-24,0,0,951,0,0,0 +5790,sunil mooken,sunil,mooken,2014-03-05,Male,1985-01-27,31,25 - 45,Other,0,5,0,0,6,,,,12007246CF10A,2012-05-15,,659,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-05,Risk of Violence,4,Low,2014-03-05,,,6,0,758,0,0,0 +5793,tisa spears,tisa,spears,2014-04-30,Female,1979-11-02,36,25 - 45,African-American,0,3,0,0,1,-1,2014-04-29 07:18:20,2014-04-30 01:35:33,14005932CF10A,2014-04-29,,1,F,Possession of Cocaine,1,15007369MM10A,(M2),0,2015-07-10,Trespass Struct/Conveyance,2015-07-10,2015-08-02,,1,15012057CF10A,(F3),2015-09-17,Aggravated Assault W/Dead Weap,Risk of Recidivism,3,Low,2014-04-30,Risk of Violence,2,Low,2014-04-30,2014-08-28,2014-09-10,1,0,120,0,1,1 +5795,kristen murphy,kristen,murphy,2013-12-26,Female,1991-04-19,25,25 - 45,Caucasian,0,3,0,0,0,-1,2013-12-25 01:14:05,2013-12-26 01:09:50,13023764MM10A,2013-12-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-26,Risk of Violence,3,Low,2013-12-26,2013-12-25,2013-12-26,0,0,827,0,0,0 +5797,alfred melchor,alfred,melchor,2013-03-20,Male,1963-10-27,52,Greater than 45,Hispanic,0,6,0,0,10,0,2013-03-20 02:15:51,2013-08-16 04:04:46,13005391CF10A,2013-03-19,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-20,Risk of Violence,7,Medium,2013-03-20,2014-10-05,2014-10-08,10,149,564,0,0,0 +5799,eliezer rosario,eliezer,rosario,2013-09-10,Male,1992-05-18,23,Less than 25,Hispanic,0,7,0,0,3,249,2014-05-17 12:45:30,2015-02-18 10:30:00,12023915MM10A,2012-11-22,,292,M,Battery,1,14007817CF10A,(F3),0,2014-05-17,Felony Battery w/Prior Convict,2014-05-17,2015-02-18,,1,14008030MM10A,(M1),2014-05-17,Battery,Risk of Recidivism,7,Medium,2013-09-10,Risk of Violence,8,High,2013-09-10,2014-05-17,2015-02-18,3,0,249,1,1,1 +5800,kayode kasali,kayode,kasali,2014-01-02,Male,1982-03-31,34,25 - 45,African-American,0,3,0,0,7,-245,2013-05-02 05:02:48,2013-05-10 01:12:23,13023769MM10A,2013-09-14,,110,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-02,Risk of Violence,2,Low,2014-01-02,2013-05-02,2013-05-10,7,0,820,0,0,0 +5809,thelbert brayboy,thelbert,brayboy,2013-02-05,Male,1970-11-17,45,Greater than 45,African-American,1,7,0,1,20,-1,2013-02-04 07:35:17,2013-03-23 05:13:19,94002444TC20A,,2013-02-05,0,M,arrest case no charge,1,15004458CF10A,(F2),0,2015-04-05,S/M/D/P/W/Int 1000 Sch/Child C,2015-04-05,2015-05-08,,0,,,,,Risk of Recidivism,7,Medium,2013-02-05,Risk of Violence,2,Low,2013-02-05,2015-04-05,2015-05-08,20,46,789,1,0,0 +5810,david heller,david,heller,2014-05-27,Male,1974-01-24,42,25 - 45,African-American,0,5,0,0,10,-1,2014-05-26 11:28:58,2014-05-27 08:41:35,14041804TC30A,2014-05-10,,17,M,Driving License Suspended,1,15009060MM10A,(M1),132,2015-03-29,Battery,2015-08-08,2015-08-15,,1,15009060MM10A,(M1),2015-03-29,Battery,Risk of Recidivism,5,Medium,2014-05-27,Risk of Violence,1,Low,2014-05-27,2014-06-26,2014-06-27,10,0,30,0,1,1 +5812,lattee bryant,lattee,bryant,2013-10-16,Male,1966-09-13,49,Greater than 45,African-American,0,4,0,0,4,-26,2013-09-20 05:43:27,2013-09-21 09:04:42,13013261CF10A,2013-09-20,,26,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-16,Risk of Violence,1,Low,2013-10-16,2014-01-23,2014-02-13,4,0,99,0,0,0 +5814,michael ramos,michael,ramos,2014-11-20,Male,1975-08-30,40,25 - 45,Caucasian,0,8,0,0,0,-1,2014-11-19 03:55:33,2014-12-19 01:16:35,14016534MM10A,2014-11-19,,1,M,Petit Theft,1,15001771CF10A,(F2),,2015-02-07,Agg Battery Grt/Bod/Harm,,,,1,15001771CF10A,(F2),2015-02-07,Agg Battery Grt/Bod/Harm,Risk of Recidivism,8,High,2014-11-20,Risk of Violence,10,High,2014-11-20,2014-11-19,2014-12-19,0,29,79,1,1,1 +5818,jeremy anderson,jeremy,anderson,2013-03-19,Male,1992-07-06,23,Less than 25,African-American,0,5,0,0,0,-1,2013-03-18 09:03:00,2013-03-20 10:13:45,13003923CF10A,2013-03-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-19,Risk of Violence,7,Medium,2013-03-19,2013-04-18,2013-10-25,0,1,30,0,0,0 +5821,tyler roberts,tyler,roberts,2014-01-21,Male,1984-10-15,31,25 - 45,Caucasian,0,5,0,0,3,0,2014-01-21 01:48:08,2014-01-21 08:50:46,14001009MM10A,2014-01-21,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-21,Risk of Violence,4,Low,2014-01-21,2014-01-21,2014-01-21,3,0,801,0,0,0 +5824,kerryann murphy,kerryann,murphy,2013-12-19,Female,1987-04-30,28,25 - 45,African-American,0,2,0,0,0,0,2013-12-19 03:23:34,2013-12-20 02:03:00,13023488MM10A,2013-12-19,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-19,Risk of Violence,2,Low,2013-12-19,2013-12-19,2013-12-20,0,1,834,0,0,0 +5826,roy raidi,roy,raidi,2013-03-04,Male,1971-04-09,45,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-04 04:31:18,2013-04-10 05:02:33,13003246CF10A,2013-03-04,,0,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2014-07-28,2014-09-06,0,37,511,0,0,0 +5828,julius grant,julius,grant,2013-03-31,Male,1977-01-07,39,25 - 45,African-American,0,8,0,0,7,0,2013-03-31 02:37:57,2013-03-31 06:29:12,13004618CF10A,2013-03-30,,1,F,Aggravated Battery / Pregnant,1,13011471CF10A,(F3),0,2013-08-15,Felony Battery (Dom Strang),2013-08-15,2013-09-19,,1,13011471CF10A,(F3),2013-08-15,Felony Battery (Dom Strang),Risk of Recidivism,8,High,2013-03-31,Risk of Violence,6,Medium,2013-03-31,2013-08-15,2013-09-19,7,0,137,1,1,1 +5830,andrew marold,andrew,marold,2013-03-13,Male,1990-05-02,25,25 - 45,Caucasian,0,4,0,0,2,-63,2013-01-09 07:22:43,2013-02-21 01:03:50,13000396CF10A,2013-01-09,,63,F,Burglary Conveyance Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-13,Risk of Violence,4,Low,2013-03-13,2015-01-16,2015-02-17,2,0,674,0,0,0 +5831,livingston graham,livingston,graham,2014-01-03,Male,1991-07-23,24,Less than 25,African-American,0,2,1,0,1,-1,2014-01-02 08:32:23,2014-01-03 01:34:37,14000081CF10A,2014-01-02,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-03,Risk of Violence,4,Low,2014-01-03,2014-01-02,2014-01-03,1,0,819,0,0,0 +5832,timothy peterson,timothy,peterson,2013-06-07,Male,1969-09-15,46,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-06-06 02:04:55,2013-06-07 04:35:36,11012041CF10A,,2013-06-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-07,Risk of Violence,1,Low,2013-06-07,2014-08-15,2014-08-17,1,0,434,0,0,0 +5833,kerry richard,kerry,richard,2013-01-11,Male,1968-11-08,47,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-01-10 04:27:00,2013-01-12 05:11:50,13000441CF10A,2013-01-10,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-10,2013-01-12,3,1,1176,0,0,0 +5835,anthony turk,anthony,turk,2013-07-16,Male,1961-07-19,54,Greater than 45,Caucasian,0,4,0,0,2,66,2013-09-20 10:17:48,2013-09-20 09:05:55,13049962TC30A,2013-04-06,,101,M,Leave Acc/Attend Veh/More $50,1,13017967MM10A,(M1),0,2013-09-20,Harass Witness/Victim/Information,2013-09-20,2013-09-20,,1,13017967MM10A,(M1),2013-09-20,Battery,Risk of Recidivism,4,Low,2013-07-16,Risk of Violence,3,Low,2013-07-16,2013-09-20,2013-09-20,2,0,66,0,1,1 +5837,kristi chudicek,kristi,chudicek,2013-08-20,Female,1981-06-20,34,25 - 45,Caucasian,0,2,0,0,0,-2,2013-08-18 04:06:40,2013-08-19 06:27:43,13015629MM10A,2013-08-18,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-18,2013-08-19,0,0,955,0,0,0 +5841,alexis lopezmunoz,alexis,lopezmunoz,2013-01-15,Male,1988-07-22,27,25 - 45,Caucasian,0,6,0,0,1,,,,12019864MM10A,2012-08-18,,150,M,Poss Drugs W/O A Prescription,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-15,Risk of Violence,3,Low,2013-01-15,,,1,0,1172,0,0,0 +5846,mizraim santiago,mizraim,santiago,2013-07-23,Male,1981-11-04,34,25 - 45,Hispanic,0,2,0,0,3,-6,2013-07-17 03:59:03,2013-07-22 09:39:53,13013591MM10A,2013-07-17,,6,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-23,Risk of Violence,2,Low,2013-07-23,2013-12-09,2013-12-12,3,0,139,0,0,0 +5847,gregory pierresaint,gregory,pierresaint,2013-07-01,Male,1983-10-11,32,25 - 45,African-American,0,5,0,0,1,-115,2013-03-08 01:31:21,2013-03-08 11:32:21,13003407CF10A,2013-03-08,,115,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-01,Risk of Violence,5,Medium,2013-07-01,2014-03-05,2014-06-29,1,0,247,0,0,0 +5849,megan mickens,megan,mickens,2013-04-13,Male,1986-12-19,29,25 - 45,African-American,0,6,0,0,0,0,2013-04-13 07:45:58,2013-04-14 07:39:52,13007156MM10A,2013-04-13,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-13,Risk of Violence,3,Low,2013-04-13,2013-04-13,2013-04-14,0,1,1084,0,0,0 +5852,dorothy burgess,dorothy,burgess,2013-04-19,Female,1960-07-30,55,Greater than 45,African-American,0,1,0,0,1,-1,2013-04-18 08:53:43,2013-04-19 07:50:03,13005573CF10A,2013-04-18,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-04-19,1,0,1078,0,0,0 +5854,roseson sterlin,roseson,sterlin,2013-02-23,Male,1989-06-20,26,25 - 45,African-American,0,3,0,0,0,-1,2013-02-22 06:44:05,2013-02-23 08:31:02,12025639MO10A,,2013-02-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-23,Risk of Violence,3,Low,2013-02-23,2013-02-22,2013-02-23,0,0,1133,0,0,0 +5857,charlie stanley,charlie,stanley,2014-01-11,Male,1991-07-02,24,Less than 25,African-American,0,7,0,0,1,0,2014-01-11 04:54:38,2014-01-11 07:57:07,14000494CF10A,2014-01-11,,0,F,Possession of Codeine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-11,Risk of Violence,7,Medium,2014-01-11,2014-01-11,2014-01-11,1,0,811,0,0,0 +5858,juan hidalgo,juan,hidalgo,2013-02-16,Male,1986-08-13,29,25 - 45,Caucasian,0,2,0,0,0,0,2013-02-16 04:44:47,2013-02-17 01:53:27,13003400MM10A,2013-02-16,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-16,Risk of Violence,2,Low,2013-02-16,2013-02-16,2013-02-17,0,1,1140,0,0,0 +5867,kenroy whitley,kenroy,whitley,2013-07-25,Male,1985-01-13,31,25 - 45,Other,0,2,0,0,0,-1,2013-07-24 02:09:40,2013-07-24 07:18:14,13014019MM10A,2013-07-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-25,Risk of Violence,2,Low,2013-07-25,2013-07-24,2013-07-24,0,0,981,0,0,0 +5869,javier gonzalez,javier,gonzalez,2013-01-30,Male,1989-10-27,26,25 - 45,Caucasian,1,6,0,0,2,-1,2013-01-29 07:52:58,2013-01-30 01:21:46,13001427CF10A,2013-01-29,,1,F,Possession of Cannabis,1,15011956CF10A,(F3),0,2015-09-15,Possession of Cannabis,2015-09-15,2015-09-16,,0,,,,,Risk of Recidivism,6,Medium,2013-01-30,Risk of Violence,8,High,2013-01-30,2015-09-15,2015-09-16,2,0,958,1,0,0 +5871,david wilkinson,david,wilkinson,2013-09-15,Male,1961-12-12,54,Greater than 45,Caucasian,0,2,0,0,2,0,2013-09-15 01:38:34,2013-12-21 04:45:56,13011098CF10A,,2013-09-15,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-15,Risk of Violence,1,Low,2013-09-15,2013-09-15,2013-12-21,2,97,929,0,0,0 +5873,eric mobley,eric,mobley,2014-01-19,Male,1982-06-13,33,25 - 45,African-American,0,8,0,0,14,-1,2014-01-18 09:19:00,2014-01-19 08:18:53,14000779CF10A,2014-01-18,,1,F,Possession of Cocaine,1,14005340CF10A,(F7),,2014-04-15,Burglary Structure Assault/Batt,,,,1,14005340CF10A,(F3),2014-04-15,Attempted Robbery No Weapon,Risk of Recidivism,8,High,2014-01-19,Risk of Violence,4,Low,2014-01-19,2014-01-18,2014-01-19,14,0,86,1,1,1 +5877,joseph pryor,joseph,pryor,2013-03-02,Male,1980-09-19,35,25 - 45,African-American,0,9,1,0,8,0,2013-03-02 02:57:33,2013-10-27 05:59:54,13003145CF10A,2013-03-02,,0,F,Driving While License Revoked,1,16003411CF10A,(F3),1,2016-03-18,,2016-03-19,2016-03-20,,0,,,,,Risk of Recidivism,9,High,2013-03-02,Risk of Violence,8,High,2013-03-02,2013-03-02,2013-10-27,8,239,1112,1,0,0 +5880,addison oliver,addison,oliver,2014-03-26,Male,1990-11-11,25,25 - 45,African-American,0,2,0,0,0,-1,2014-03-25 06:30:51,2014-03-26 01:51:19,14004231CF10A,2014-03-25,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-26,Risk of Violence,3,Low,2014-03-26,2014-03-25,2014-03-26,0,0,737,0,0,0 +5881,ken delva,ken,delva,2013-02-06,Male,1990-08-01,25,25 - 45,African-American,0,5,0,0,0,0,2013-02-06 03:18:44,2013-02-06 07:56:34,13001863CF10A,2013-02-05,,1,F,"Del 3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-06,Risk of Violence,3,Low,2013-02-06,2013-02-06,2013-02-06,0,0,1150,0,0,0 +5886,glenn bard,glenn,bard,2013-11-04,Male,1963-02-12,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-04 02:03:04,2013-11-08 09:12:49,13020833MM10A,2013-11-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-04,Risk of Violence,1,Low,2013-11-04,2013-11-04,2013-11-08,0,4,879,0,0,0 +5891,david gutman,david,gutman,2013-11-03,Male,1974-05-15,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-02 04:53:44,2013-11-03 12:58:20,13015277CF10A,2013-11-02,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-03,Risk of Violence,1,Low,2013-11-03,2013-11-02,2013-11-03,0,0,880,0,0,0 +5895,kevin sasnett,kevin,sasnett,2013-09-27,Male,1992-01-26,24,Less than 25,Caucasian,0,4,0,0,1,0,2013-09-27 04:19:07,2013-09-27 08:59:08,13013610CF10A,2013-09-27,,0,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-27,Risk of Violence,3,Low,2013-09-27,2013-09-27,2013-09-27,1,0,917,0,0,0 +5896,carlos pastrana,carlos,pastrana,2013-04-01,Male,1977-10-01,38,25 - 45,Caucasian,0,2,0,0,8,-32,2013-02-28 06:48:26,2013-02-28 08:42:31,13003066CF10A,2013-02-28,,32,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-01,Risk of Violence,4,Low,2013-04-01,2014-04-24,2014-12-22,8,0,388,0,0,0 +5898,luis gonzalez,luis,gonzalez,2013-12-26,Male,1992-05-22,23,Less than 25,Caucasian,0,2,0,0,0,-1,2013-12-25 01:48:57,2013-12-26 01:13:22,13023750MM10A,2013-12-24,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-26,Risk of Violence,4,Low,2013-12-26,2013-12-25,2013-12-26,0,0,827,0,0,0 +5899,freddy hall,freddy,hall,2013-05-23,Male,1973-12-10,42,25 - 45,African-American,0,1,0,0,0,-1,2013-05-22 01:03:43,2013-05-23 04:44:30,13007324CF10A,2013-05-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-23,Risk of Violence,1,Low,2013-05-23,2013-05-22,2013-05-23,0,0,1044,0,0,0 +5900,matthew logiudice,matthew,logiudice,2013-09-09,Male,1983-09-10,32,25 - 45,Caucasian,0,5,0,0,4,-47,2013-07-24 08:22:37,2013-07-29 11:10:43,13010358CF10A,2013-07-24,,47,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-09,Risk of Violence,1,Low,2013-09-09,2015-06-30,2015-07-03,4,0,659,0,0,0 +5901,joshua perez,joshua,perez,2014-04-01,Male,1992-02-25,24,Less than 25,Hispanic,0,7,0,0,3,597,2015-11-19 12:47:48,2015-11-20 06:12:53,14005094MM10A,2014-03-24,,8,M,Battery,1,15005902MM10A,(M1),,2015-05-29,Viol Pretrial Release Dom Viol,,,,1,15012271CF10A,(F3),2015-09-21,Stalking (Aggravated),Risk of Recidivism,7,Medium,2014-04-01,Risk of Violence,8,High,2014-04-01,2015-11-19,2015-11-20,3,0,423,1,1,1 +5906,jerline jean,jerline,jean,2014-03-09,Female,1983-10-30,32,25 - 45,African-American,0,6,0,0,3,-1,2014-03-08 08:03:14,2014-03-09 12:18:14,14003307CF10A,2014-03-08,,1,M,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-09,Risk of Violence,4,Low,2014-03-09,2014-03-08,2014-03-09,3,0,754,0,0,0 +5907,anthony williams,anthony,williams,2013-09-25,Male,1975-08-20,40,25 - 45,African-American,0,9,0,0,13,-1,2013-09-24 07:30:04,2013-09-25 08:13:07,13013438CF10A,,2013-09-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-25,Risk of Violence,3,Low,2013-09-25,2015-05-13,2015-05-18,13,0,595,0,0,0 +5912,julio esquiagola,julio,esquiagola,2013-05-09,Male,1973-08-13,42,25 - 45,Hispanic,0,1,0,0,1,-118,2013-01-11 01:09:26,2013-05-09 10:55:33,13000335CF10A,,2013-01-10,119,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-09,Risk of Violence,1,Low,2013-05-09,2013-01-11,2013-05-09,1,0,1058,0,0,0 +5914,donald perdue,donald,perdue,2013-03-28,Male,1989-01-13,27,25 - 45,African-American,0,3,0,0,2,0,2013-03-28 01:22:58,2013-03-28 08:31:54,13004446CF10A,2013-03-27,,1,F,Lease For Purpose Trafficking,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-28,Risk of Violence,4,Low,2013-03-28,2015-03-17,2015-03-17,2,0,719,0,0,0 +5917,clifford proctor,clifford,proctor,2013-04-07,Male,1983-12-16,32,25 - 45,African-American,0,4,0,0,1,-1,2013-04-06 05:35:58,2013-04-10 05:02:49,13006617MM10A,2013-04-06,,1,M,DUI Blood Alcohol Above 0.20,1,13012009CF10A,(F1),1,2013-08-24,Home Invasion Robbery,2013-08-25,2013-10-22,,1,13012009CF10A,(F1),2013-08-24,Home Invasion Robbery,Risk of Recidivism,4,Low,2013-04-07,Risk of Violence,2,Low,2013-04-07,2013-04-06,2013-04-10,1,3,139,1,1,1 +5918,gregory polynice,gregory,polynice,2014-07-17,Male,1978-01-06,38,25 - 45,African-American,0,7,0,0,2,43,2014-08-29 09:49:28,2014-09-05 02:03:17,13004858MM10A,,2014-05-12,66,M,arrest case no charge,1,15003672MM10A,(M1),0,2015-03-29,Resist/Obstruct W/O Violence,2015-03-29,2015-04-21,,1,15003672MM10A,(M1),2015-03-29,Battery,Risk of Recidivism,7,Medium,2014-07-17,Risk of Violence,4,Low,2014-07-17,2014-08-29,2014-09-05,2,0,43,0,1,1 +5923,jesus valencia,jesus,valencia,2013-08-19,Male,1986-07-26,29,25 - 45,Caucasian,0,2,0,0,2,-1,2013-08-18 08:19:55,2013-08-22 03:45:12,13011580CF10A,2013-08-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-19,Risk of Violence,3,Low,2013-08-19,2013-08-18,2013-08-22,2,3,956,0,0,0 +5924,marckenson demard,marckenson,demard,2013-08-13,Male,1987-10-06,28,25 - 45,African-American,0,3,0,0,7,,,,12018329CF10A,2012-12-17,,239,M,Resist/Obstruct W/O Violence,1,14013814CF10A,(F3),,2014-09-20,Battery on Law Enforc Officer,,,,1,14013814CF10A,(F3),2014-09-20,Battery on Law Enforc Officer,Risk of Recidivism,3,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,,,7,0,403,1,1,1 +5926,evens pericles,evens,pericles,2013-01-03,Male,1966-10-13,49,Greater than 45,African-American,0,1,0,0,0,0,2013-01-03 02:58:10,2013-01-03 07:35:13,13000196MM10A,2013-01-03,,0,M,Poss Of RX Without RX,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,1,Low,2013-01-03,2013-01-03,2013-01-03,0,0,1184,0,0,0 +5928,jeremy joyce,jeremy,joyce,2014-02-04,Male,1965-08-03,50,Greater than 45,Caucasian,0,1,0,0,0,-2,2014-02-02 05:06:04,2014-02-04 12:04:14,14001463CF10A,2014-02-02,,2,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-02,2014-02-04,0,0,787,0,0,0 +5931,kristina cowley,kristina,cowley,2013-02-02,Female,1987-08-04,28,25 - 45,Caucasian,0,7,0,0,1,-1,2013-02-01 10:36:23,2013-02-11 06:46:31,11000338CF10A,,2013-02-01,1,F,arrest case no charge,1,15002806CF10A,(F3),0,2015-03-01,Grand Theft in the 3rd Degree,2015-03-01,2015-03-02,,0,,,,,Risk of Recidivism,7,Medium,2013-02-02,Risk of Violence,3,Low,2013-02-02,2015-03-01,2015-03-02,1,9,757,1,0,0 +5937,jason robertson,jason,robertson,2014-12-10,Male,1990-11-13,25,25 - 45,African-American,0,2,0,0,0,0,2014-12-10 01:56:11,2014-12-10 08:00:57,14017410MM10A,2014-12-10,,0,M,Battery,1,15008143CF10A,(F1),-1,2015-06-23,Robbery W/Firearm,2015-06-22,2015-08-07,,1,15008143CF10A,(F3),2015-06-23,Aggravated Assault w/Firearm,Risk of Recidivism,2,Low,2014-12-10,Risk of Violence,3,Low,2014-12-10,2015-06-22,2015-08-07,0,0,195,1,1,1 +5938,fernando walker,fernando,walker,2014-11-19,Male,1990-12-29,25,25 - 45,African-American,0,3,0,0,4,-1,2014-11-18 07:32:19,2014-11-27 08:30:00,14016533MM10A,2014-11-18,,1,M,Battery,1,15009401MM10A,(M1),0,2015-09-04,Battery,2015-09-04,2015-09-05,,1,15009401MM10A,(M1),2015-09-04,Battery,Risk of Recidivism,3,Low,2014-11-19,Risk of Violence,3,Low,2014-11-19,2015-09-04,2015-09-05,4,8,289,1,1,1 +5939,robert crot,robert,crot,2013-02-25,Male,1971-01-10,45,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-02-24 11:48:29,2013-02-25 06:52:51,13002841CF10A,2013-02-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-02-24,2013-02-25,2,0,1131,0,0,0 +5943,julian bastian,julian,bastian,2013-03-18,Male,1979-02-10,37,25 - 45,Other,0,1,0,0,2,-1,2013-03-17 11:28:06,2013-04-15 11:25:52,13003879CF10A,2013-03-17,,1,F,Lewd/Lasciv Molest Elder Persn,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-17,2013-04-15,2,28,1110,0,0,0 +5946,alexandro castro,alexandro,castro,2014-03-22,Male,1991-09-05,24,Less than 25,Hispanic,0,2,0,0,0,-1,2014-03-21 09:50:03,2014-03-23 09:11:20,14004982MM10A,2014-03-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-22,Risk of Violence,3,Low,2014-03-22,2014-03-21,2014-03-23,0,1,741,0,0,0 +5947,carmine dagnell,carmine,dagnell,2013-03-23,Male,1975-09-17,40,25 - 45,Caucasian,0,1,0,0,2,-1,2013-03-22 11:22:26,2013-03-24 05:59:53,05020781MM10A,,2013-03-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-23,Risk of Violence,1,Low,2013-03-23,2013-03-22,2013-03-24,2,1,1105,0,0,0 +5948,gary schwab,gary,schwab,2013-01-02,Male,1955-10-01,60,Greater than 45,Caucasian,0,1,0,0,1,,,,12025273MM10A,2012-12-11,,22,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,,,1,0,1185,0,0,0 +5951,lizzethe rivas,lizzethe,rivas,2013-06-04,Female,1983-01-26,33,25 - 45,Hispanic,0,2,0,0,0,-2,2013-06-02 04:46:03,2013-06-03 02:11:03,13007822CF10A,2013-06-02,,2,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-04,Risk of Violence,1,Low,2013-06-04,2013-06-02,2013-06-03,0,0,1032,0,0,0 +5952,jerry boston,jerry,boston,2013-03-06,Male,1984-06-09,31,25 - 45,African-American,0,9,0,1,6,,,,10001656CF10A,,2010-03-22,1080,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-06,Risk of Violence,8,High,2013-03-06,,,6,0,1122,0,0,0 +5953,rolando pena,rolando,pena,2013-09-06,Male,1962-12-23,53,Greater than 45,Hispanic,0,2,0,0,18,0,2013-09-06 03:05:03,2013-09-07 05:14:11,13012609CF10A,,2013-09-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-06,2013-09-07,18,1,938,0,0,0 +5954,jose ramos-otero,jose,ramos-otero,2014-03-26,Male,1960-10-15,55,Greater than 45,Hispanic,0,1,0,0,0,-7,2014-03-19 11:32:30,2014-03-25 06:06:45,14004794MM10A,2014-03-19,,7,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2014-03-19,2014-03-25,0,0,737,0,0,0 +5955,george joseph,george,joseph,2014-03-26,Male,1979-08-15,36,25 - 45,Caucasian,0,6,0,0,4,,,,12025593MM10A,2012-12-16,,465,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-26,Risk of Violence,4,Low,2014-03-26,2008-04-22,2009-02-01,4,0,737,0,0,0 +5957,jean joseph,jean,joseph,2013-10-25,Male,1986-02-23,30,25 - 45,Other,0,9,0,0,6,-1,2013-10-24 07:05:58,2013-11-11 02:16:33,13014877CF10A,2013-10-24,,1,F,Aggravated Assault W/Dead Weap,1,14000195MM10A,(M1),0,2014-01-05,Battery,2014-01-05,2014-02-04,,1,14000195MM10A,(M1),2014-01-05,Battery,Risk of Recidivism,9,High,2013-10-25,Risk of Violence,7,Medium,2013-10-25,2014-01-05,2014-02-04,6,17,72,1,1,1 +5960,ginge brien,ginge,brien,2013-12-07,Male,1960-06-05,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-06 11:16:06,2013-12-07 07:45:33,13022640MM10A,2013-12-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-07,Risk of Violence,1,Low,2013-12-07,2013-12-06,2013-12-07,0,0,846,0,0,0 +5964,crystal sylvester,crystal,sylvester,2013-03-05,Female,1993-02-14,23,Less than 25,African-American,0,3,0,0,1,-6,2013-02-27 09:17:36,2013-02-28 07:44:18,13002979CF10A,,2013-02-27,6,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-05,Risk of Violence,4,Low,2013-03-05,2013-02-27,2013-02-28,1,0,1123,0,0,0 +5967,attilla kennedy,attilla,kennedy,2013-04-02,Female,1976-03-06,40,25 - 45,African-American,0,10,0,0,13,752,2015-04-24 12:13:42,2015-08-10 11:42:44,12016990CF10A,2012-11-20,,133,F,Possession of Cocaine,1,13006385CF10A,(F3),,2013-05-03,Possession of Cocaine,,,,1,15005350CF10A,(F3),2015-04-23,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2013-04-02,Risk of Violence,9,High,2013-04-02,2016-01-24,2016-02-20,13,0,31,1,1,1 +5970,luis molina,luis,molina,2013-05-29,Male,1983-11-06,32,25 - 45,Caucasian,0,1,0,0,2,0,2013-05-29 04:36:00,2013-05-30 04:49:03,13007646CF10A,2013-05-29,,0,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-10-14,2013-10-15,2,1,138,0,0,0 +5971,jason ankney,jason,ankney,2013-09-09,Male,1969-02-06,47,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-09-08 01:42:14,2013-09-21 04:20:31,12018532CF10A,,2013-09-08,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2014-04-21,2014-06-17,3,12,224,0,0,0 +5974,kionte martin,kionte,martin,2013-08-09,Male,1993-08-14,22,Less than 25,African-American,0,6,1,0,1,-1,2013-08-08 01:54:57,2013-08-09 08:15:00,13011146CF10A,2013-08-08,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-09,Risk of Violence,7,Medium,2013-08-09,2013-08-08,2013-08-09,1,0,966,0,0,0 +5975,bernardo camejo,bernardo,camejo,2014-02-20,Male,1968-08-09,47,Greater than 45,Caucasian,0,1,0,0,2,-1,2014-02-19 05:36:32,2014-02-21 04:14:33,14002337CF10A,2014-02-19,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-20,Risk of Violence,2,Low,2014-02-20,2014-02-19,2014-02-21,2,1,771,0,0,0 +5978,tyrone baptiste,tyrone,baptiste,2013-08-10,Male,1988-03-12,28,25 - 45,African-American,0,8,0,0,5,-1,2013-08-09 10:07:19,2013-09-13 07:58:19,13011203CF10A,2013-08-08,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-10,Risk of Violence,4,Low,2013-08-10,2013-11-26,2014-02-27,5,34,108,0,0,0 +5984,william neal,william,neal,2014-02-12,Male,1981-07-23,34,25 - 45,African-American,0,2,0,0,4,-1,2014-02-11 09:02:44,2014-02-12 08:26:32,14002367MM10A,2014-02-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-02-11,2014-02-12,4,0,779,0,0,0 +5985,robert diers,robert,diers,2013-02-22,Male,1951-03-30,65,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-22 04:53:05,2013-02-23 04:06:29,13003749MM10A,2013-02-22,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-03-15,2013-04-07,0,1,21,0,0,0 +5988,marialys hollmann,marialys,hollmann,2013-03-24,Female,1992-07-29,23,Less than 25,Caucasian,0,3,0,0,0,-1,2013-03-23 09:45:20,2013-03-24 06:30:07,13005714MM10A,2013-03-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,3,Low,2013-03-24,2013-03-23,2013-03-24,0,0,1104,0,0,0 +5989,maggi allaire,maggi,allaire,2014-01-27,Female,1971-07-01,44,25 - 45,Caucasian,0,1,0,0,0,-2,2014-01-25 02:52:12,2014-01-26 02:01:51,14001425MM10A,2014-01-25,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-25,2014-01-26,0,0,795,0,0,0 +5990,zamir villeda,zamir,villeda,2013-03-06,Male,1994-09-10,21,Less than 25,Hispanic,1,8,0,0,1,88,2013-06-02 03:07:52,2014-11-11 05:11:05,12002996CF10A,,2012-04-19,321,F,arrest case no charge,1,13007811CF10A,(F3),1,2013-06-01,Resist Officer w/Violence,2013-06-02,2014-11-11,,1,13007811CF10A,(F3),2013-06-01,Battery on Law Enforc Officer,Risk of Recidivism,8,High,2013-03-06,Risk of Violence,9,High,2013-03-06,2015-06-30,2015-08-08,1,0,87,1,1,1 +5992,donnell george,donnell,george,2013-01-22,Male,1991-08-16,24,Less than 25,African-American,0,3,0,0,1,-1,2013-01-21 11:07:10,2013-01-22 01:58:45,13001429MM10A,2013-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,5,Medium,2013-01-22,2013-01-21,2013-01-22,1,0,1165,0,0,0 +5993,edward dulom,edward,dulom,2013-12-01,Male,1964-09-30,51,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-11-30 06:59:05,2013-12-01 12:41:20,13022330MM10A,2013-11-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-01,Risk of Violence,1,Low,2013-12-01,2013-11-30,2013-12-01,1,0,852,0,0,0 +5995,joshua drew,joshua,drew,2013-09-17,Male,1977-04-16,39,25 - 45,Caucasian,0,6,0,0,6,-1,2013-09-16 04:22:28,2013-09-17 01:52:57,13011664CF10A,,2013-09-16,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-17,Risk of Violence,2,Low,2013-09-17,2013-09-16,2013-09-17,6,0,927,0,0,0 +5997,jedidiah rocha,jedidiah,rocha,2013-12-03,Male,1991-07-14,24,Less than 25,Caucasian,0,6,0,0,1,-5,2013-11-28 09:36:08,2013-11-29 01:37:48,13016555CF10A,2013-11-28,,5,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-03,Risk of Violence,4,Low,2013-12-03,2013-11-28,2013-11-29,1,0,850,0,0,0 +6001,james baker,james,baker,2014-08-27,Male,1984-07-03,31,25 - 45,African-American,0,10,0,2,11,0,2014-08-27 12:36:35,2014-08-27 01:58:47,14011706CF10A,2014-08-26,,1,F,Poss Pyrrolidinovalerophenone,1,15009531MM10A,(M1),0,2015-09-08,Possess Cannabis/20 Grams Or Less,2015-09-08,2015-09-09,,1,15002947MM20A,(M1),2015-11-15,Battery,Risk of Recidivism,10,High,2014-08-27,Risk of Violence,7,Medium,2014-08-27,2015-09-08,2015-09-09,11,0,377,1,1,1 +6002,sabrina day,sabrina,day,2013-12-23,Female,1980-10-31,35,25 - 45,African-American,0,2,0,0,0,-1,2013-12-22 07:28:40,2013-12-23 01:00:39,13023599MM10A,2013-12-22,,1,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-22,2013-12-23,0,0,830,0,0,0 +6004,wisler vilcant,wisler,vilcant,2013-12-07,Male,1985-08-24,30,25 - 45,Other,0,1,0,0,0,-1,2013-12-06 07:43:48,2013-12-07 05:08:06,13016901CF10A,2013-12-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-07,Risk of Violence,1,Low,2013-12-07,2013-12-06,2013-12-07,0,0,846,0,0,0 +6005,john ballew,john,ballew,2013-10-31,Male,1981-10-21,34,25 - 45,Caucasian,0,7,0,0,8,-104,2013-07-19 07:56:06,2013-09-26 10:15:00,13010142CF10A,2013-07-19,,104,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-31,Risk of Violence,4,Low,2013-10-31,2015-11-05,2015-11-06,8,0,735,0,0,0 +6006,chaneka pace,chaneka,pace,2013-08-05,Female,1976-05-26,39,25 - 45,African-American,0,6,0,0,4,-3,2013-08-02 05:56:52,2013-08-05 11:16:27,13010929CF10A,2013-08-02,,3,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-05,Risk of Violence,1,Low,2013-08-05,2015-07-06,2015-07-07,4,0,700,0,0,0 +6009,robens joseph,robens,joseph,2013-10-21,Male,1986-09-19,29,25 - 45,African-American,0,2,0,0,6,702,2015-09-23 05:41:57,2015-09-28 07:54:58,13011806CF10A,2013-08-22,,60,M,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-21,Risk of Violence,2,Low,2013-10-21,2015-09-23,2015-09-28,6,0,702,0,0,0 +6010,noel medina,noel,medina,2013-10-06,Male,1965-03-25,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-05 03:53:47,2013-10-06 08:40:20,13018938MM10A,2013-10-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-06,Risk of Violence,1,Low,2013-10-06,2013-10-05,2013-10-06,0,0,908,0,0,0 +6011,richard hough,richard,hough,2013-05-16,Male,1993-09-09,22,Less than 25,Caucasian,0,7,0,1,1,-1,2013-05-15 10:31:31,2014-01-07 05:52:28,13006949CF10A,,2013-05-12,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-16,Risk of Violence,5,Medium,2013-05-16,2013-05-15,2014-01-07,1,236,1051,0,0,0 +6013,rachel gonzales,rachel,gonzales,2013-11-08,Male,1986-09-05,29,25 - 45,Caucasian,0,2,0,0,2,-24,2013-10-15 09:16:10,2013-11-07 08:56:00,13014430CF10A,,2013-10-15,24,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-08,Risk of Violence,3,Low,2013-11-08,2013-10-15,2013-11-07,2,0,875,0,0,0 +6021,lee ferrell,lee,ferrell,2013-03-19,Male,1983-04-09,33,25 - 45,Caucasian,0,4,0,0,3,-16,2013-03-03 11:33:17,2013-03-15 06:19:23,13004319MM10A,2013-03-03,,16,M,Battery,1,13010984CF10A,(F3),,2013-06-07,Felony Battery w/Prior Convict,,,,1,13010984CF10A,(F3),2013-06-07,Felony Battery w/Prior Convict,Risk of Recidivism,4,Low,2013-03-19,Risk of Violence,3,Low,2013-03-19,2015-09-23,2015-10-15,3,0,80,1,1,1 +6023,brunel petit-frere,brunel,petit-frere,2013-02-21,Male,1962-02-09,54,Greater than 45,Other,0,1,0,0,0,-1,2013-02-20 08:56:34,2013-03-20 07:19:46,13002614CF10A,2013-02-20,,1,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-21,Risk of Violence,1,Low,2013-02-21,2013-02-20,2013-03-20,0,27,1135,0,0,0 +6024,andrew ivy,andrew,ivy,2014-03-05,Male,1985-06-28,30,25 - 45,African-American,0,2,0,0,3,-166,2013-09-20 03:50:32,2013-09-21 04:35:03,13014777CF10A,2013-09-20,,166,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-05,Risk of Violence,2,Low,2014-03-05,2015-06-25,2015-07-06,3,0,477,0,0,0 +6030,jean valcourt,jean,valcourt,2013-10-01,Male,1968-03-19,48,Greater than 45,African-American,0,4,0,0,10,0,2013-10-01 05:10:48,2014-03-25 08:17:12,13013771CF10A,2013-10-01,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-01,Risk of Violence,1,Low,2013-10-01,2013-10-01,2014-03-25,10,175,913,0,0,0 +6032,david walters,david,walters,2013-11-24,Male,1992-10-11,23,Less than 25,African-American,0,8,0,0,0,-1,2013-11-23 05:23:08,2013-11-26 09:28:08,13022026MM10A,2013-11-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-24,Risk of Violence,7,Medium,2013-11-24,2013-11-23,2013-11-26,0,2,859,0,0,0 +6034,louis tieso,louis,tieso,2013-09-19,Male,1993-04-09,23,Less than 25,Caucasian,0,7,0,0,2,-1,2013-09-18 08:45:23,2013-10-03 12:14:36,13013179CF10A,2013-09-18,,1,F,Grand Theft in the 3rd Degree,1,14016785CF10A,(M2),1,2014-12-18,Lve/Scen/Acc/Veh/Prop/Damage,2014-12-19,2015-01-29,,1,15003343CF10A,(F1),2015-03-12,Robbery W/Firearm,Risk of Recidivism,7,Medium,2013-09-19,Risk of Violence,6,Medium,2013-09-19,2013-10-17,2013-10-18,2,14,28,0,1,1 +6035,rehan kazi,rehan,kazi,2013-10-13,Male,1968-08-09,47,Greater than 45,Asian,0,1,0,0,1,0,2013-10-13 02:20:11,2013-10-14 07:54:28,13019417MM10A,2013-10-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-13,Risk of Violence,1,Low,2013-10-13,2013-12-05,2013-12-06,1,1,53,0,0,0 +6036,james nelson,james,nelson,2013-05-02,Male,1994-06-14,21,Less than 25,Other,0,4,0,0,0,-1,2013-05-01 07:59:10,2013-05-03 09:30:47,13006266CF10A,2013-05-01,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-02,Risk of Violence,6,Medium,2013-05-02,2014-10-20,2014-10-24,0,1,536,0,0,0 +6041,ramon abreu,ramon,abreu,2014-02-25,Male,1967-12-05,48,Greater than 45,Caucasian,0,1,0,0,2,-1,2014-02-24 10:00:14,2014-02-25 09:19:31,14001974CF10A,,2014-02-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-24,2014-02-25,2,0,766,0,0,0 +6043,david guitar,david,guitar,2013-03-28,Male,1966-03-28,50,Greater than 45,Caucasian,0,3,0,0,3,-1,2013-03-27 09:19:27,2013-04-10 10:26:19,13004415CF10A,2013-03-27,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-04-10,3,13,1100,0,0,0 +6045,sean miller,sean,miller,2013-12-09,Male,1977-01-09,39,25 - 45,Caucasian,0,3,0,0,2,,,,10026202MM10A,2010-11-08,,1127,M,Opert With Susp DL 2ND Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-09,Risk of Violence,1,Low,2013-12-09,,,2,0,844,0,0,0 +6046,michael jackson,michael,jackson,2013-02-01,Male,1966-09-02,49,Greater than 45,African-American,2,3,0,0,13,-1,2013-01-31 08:34:57,2013-02-01 01:50:18,13001572CF10A,2013-01-31,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-01,Risk of Violence,2,Low,2013-02-01,2013-01-31,2013-02-01,13,0,1155,0,0,0 +6047,brian todd,brian,todd,2014-02-21,Male,1958-01-08,58,Greater than 45,Caucasian,0,5,0,0,2,-1,2014-02-20 07:21:42,2014-02-25 08:15:11,14002433CF10A,2014-02-20,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,2,Low,2014-02-21,2014-02-20,2014-02-25,2,4,770,0,0,0 +6048,laurence couch,laurence,couch,2013-10-11,Male,1984-10-05,31,25 - 45,African-American,0,8,0,0,6,0,2013-10-11 04:20:25,2013-10-11 08:02:17,13014253CF10A,2013-10-11,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-11,Risk of Violence,6,Medium,2013-10-11,2013-11-25,2013-12-13,6,0,45,0,0,0 +6051,cedrick camper,cedrick,camper,2013-11-13,Male,1993-01-27,23,Less than 25,African-American,0,7,0,2,1,-1,2013-11-12 01:26:14,2013-11-13 01:00:19,13021304MM10A,2013-11-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-13,Risk of Violence,5,Medium,2013-11-13,2013-11-12,2013-11-13,1,0,870,0,0,0 +6058,leon wallace,leon,wallace,2013-01-03,Male,1983-04-15,33,25 - 45,Other,0,1,0,0,0,-1,2013-01-02 10:07:28,2013-03-27 01:38:36,13000069CF10A,,2013-01-02,1,F,arrest case no charge,1,14008015MM10A,(M1),0,2014-05-17,Viol Injunct Domestic Violence,2014-05-17,2014-05-18,,1,16002185MM10A,(M1),2016-03-05,Battery,Risk of Recidivism,1,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2014-05-17,2014-05-18,0,83,499,1,1,1 +6062,michael campanile,michael,campanile,2013-09-25,Male,1958-08-03,57,Greater than 45,Caucasian,0,2,0,0,6,-23,2013-09-02 03:00:19,2013-09-03 07:50:44,13012396CF10A,2013-09-01,,24,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-25,Risk of Violence,2,Low,2013-09-25,2013-09-02,2013-09-03,6,0,919,0,0,0 +6064,brooke bassininsky,brooke,bassininsky,2013-12-16,Female,1984-11-21,31,25 - 45,Caucasian,0,2,0,0,0,-3,2013-12-13 09:11:19,2013-12-14 03:44:07,13023149MM10A,2013-12-13,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,2,Low,2013-12-16,2013-12-13,2013-12-14,0,0,837,0,0,0 +6065,clarence jackson,clarence,jackson,2013-05-19,Male,1958-12-29,57,Greater than 45,African-American,0,6,0,0,19,-1,2013-05-18 08:31:01,2013-05-21 12:47:29,13007095CF10A,2013-05-18,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-19,Risk of Violence,1,Low,2013-05-19,2014-04-10,2014-04-10,19,2,326,0,0,0 +6066,larry derose,larry,derose,2013-11-11,Male,1958-07-08,57,Greater than 45,Caucasian,0,5,0,0,12,0,2013-11-11 02:40:13,2013-11-14 09:18:15,13021252MM10A,2013-11-10,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-11,Risk of Violence,1,Low,2013-11-11,2014-06-09,2014-06-09,12,3,210,0,0,0 +6071,calvin sims,calvin,sims,2013-12-15,Male,1971-01-31,45,Greater than 45,African-American,0,3,0,0,11,-1,2013-12-14 09:06:52,2013-12-15 08:50:15,13017297CF10A,2013-12-14,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-15,Risk of Violence,3,Low,2013-12-15,2013-12-14,2013-12-15,11,0,838,0,0,0 +6073,daniel urrea,daniel,urrea,2013-12-15,Male,1973-11-05,42,25 - 45,Caucasian,0,5,0,0,0,0,2013-12-15 06:01:30,2013-12-15 08:40:14,13017335CF10A,2013-12-15,,0,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-15,Risk of Violence,2,Low,2013-12-15,2013-12-15,2013-12-15,0,0,838,0,0,0 +6074,steve rosewell,steve,rosewell,2013-05-15,Male,1967-11-02,48,Greater than 45,Other,0,2,0,0,7,-1,2013-05-14 06:11:09,2013-05-15 02:02:18,13006894CF10A,2013-05-14,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,2,Low,2013-05-15,2013-05-14,2013-05-15,7,0,1052,0,0,0 +6077,matthew arboleda,matthew,arboleda,2013-05-25,Male,1993-03-28,23,Less than 25,Caucasian,0,4,0,0,0,521,2014-10-28 07:54:03,2014-11-04 09:20:29,13007450CF10A,2013-05-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-25,Risk of Violence,5,Medium,2013-05-25,2014-10-28,2014-11-04,0,0,521,0,0,0 +6078,jamie hamilton,jamie,hamilton,2013-12-02,Female,1987-09-28,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-01 11:59:34,2013-12-02 09:37:16,13016640CF10A,2013-12-01,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-02,Risk of Violence,2,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0,0 +6079,gayvon garrett,gayvon,garrett,2013-04-01,Male,1974-07-13,41,25 - 45,African-American,0,7,0,0,3,,,,09006688CF10A,2009-04-09,,1453,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-01,Risk of Violence,3,Low,2013-04-01,,,3,0,1096,0,0,0 +6080,tazomi natta,tazomi,natta,2013-04-27,Male,1990-07-28,25,25 - 45,African-American,0,2,0,0,1,-1,2013-04-26 03:45:27,2013-04-27 07:36:12,13008099MM10A,2013-04-26,,1,M,Battery,1,14002675CF10A,(F2),8,2014-02-17,Throw Deadly Missile Into Veh,2014-02-25,2014-02-27,,1,14002675CF10A,(F3),2014-02-17,Aggravated Assault w/Firearm,Risk of Recidivism,2,Low,2013-04-27,Risk of Violence,3,Low,2013-04-27,2015-11-19,2020-01-01,1,0,296,1,1,1 +6081,lorraine rivera,lorraine,rivera,2013-08-05,Female,1981-10-14,34,25 - 45,Caucasian,0,5,0,0,3,-1,2013-08-04 09:41:27,2013-08-14 10:01:13,13014594MM10A,2013-08-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-05,Risk of Violence,2,Low,2013-08-05,2013-08-04,2013-08-14,3,9,970,0,0,0 +6084,antonio jarrett,antonio,jarrett,2013-12-13,Male,1988-05-26,27,25 - 45,African-American,0,2,0,0,0,-1,2013-12-12 02:19:40,2013-12-13 02:51:00,13017204CF10A,2013-12-12,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-13,Risk of Violence,4,Low,2013-12-13,2013-12-12,2013-12-13,0,0,840,0,0,0 +6085,fredrick adger,fredrick,adger,2013-10-07,Male,1976-09-02,39,25 - 45,African-American,0,4,0,0,4,0,2013-10-07 04:26:58,2013-11-16 08:34:09,13014064CF10A,2013-10-07,,0,F,Aggrav Child Abuse-Agg Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,2,Low,2013-10-07,2013-10-07,2013-11-16,4,40,907,0,0,0 +6087,wendy wilson,wendy,wilson,2013-01-09,Female,1961-01-29,55,Greater than 45,Caucasian,0,4,0,0,6,1001,2015-10-07 07:01:04,2015-11-13 05:08:21,12009689CF10A,2012-07-01,,192,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2015-10-07,2015-11-13,6,0,1001,0,0,0 +6089,ladarious smith,ladarious,smith,2013-11-25,Male,1989-04-05,27,25 - 45,African-American,0,5,0,0,4,-1,2013-11-24 12:20:22,2014-01-14 08:48:27,13016142CF10A,,2013-11-24,1,F,arrest case no charge,1,14011034MM10A,(M1),0,2014-07-19,Battery,2014-07-19,2014-08-23,,1,14011034MM10A,(M1),2014-07-19,Battery,Risk of Recidivism,5,Medium,2013-11-25,Risk of Violence,6,Medium,2013-11-25,2014-07-19,2014-08-23,4,50,236,1,1,1 +6097,lawrence andrews,lawrence,andrews,2014-05-25,Male,1989-11-27,26,25 - 45,Caucasian,0,9,0,0,2,-1,2014-05-24 08:49:20,2014-05-25 08:41:34,14007260CF10A,2014-05-24,,1,F,Aggravated Assault W/Dead Weap,1,14013516CF10A,(F3),77,2014-08-28,Felony Battery w/Prior Convict,2014-11-13,2014-11-21,,1,14013516CF10A,(F3),2014-08-28,Felony Battery w/Prior Convict,Risk of Recidivism,9,High,2014-05-25,Risk of Violence,8,High,2014-05-25,2016-03-16,2016-04-08,2,0,95,1,1,1 +6099,joseph keel,joseph,keel,2013-05-21,Male,1983-04-17,33,25 - 45,African-American,0,10,0,0,17,,,,12004964CF10A,,2012-12-05,167,F,arrest case no charge,1,14012027CF10A,(F2),,2014-06-13,Throw In Occupied Dwell,,,,1,14012027CF10A,(F2),2014-06-13,Throw In Occupied Dwell,Risk of Recidivism,10,High,2013-05-21,Risk of Violence,10,High,2013-05-21,,,17,0,388,1,1,1 +6101,leung fong-aguilar,leung,fong-aguilar,2013-08-21,Male,1988-09-11,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-20 10:24:22,2013-08-21 07:44:13,13015840MM10A,2013-08-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-21,Risk of Violence,2,Low,2013-08-21,2013-08-20,2013-08-21,0,0,954,0,0,0 +6105,jarvis jones,jarvis,jones,2013-10-10,Male,1987-03-24,29,25 - 45,African-American,0,2,0,0,4,-1,2013-10-09 04:48:19,2013-10-10 08:39:57,13014181CF10A,2013-10-09,,1,F,Felony Driving While Lic Suspd,1,16000978CF10A,(F3),0,2016-01-23,Use of Anti-Shoplifting Device,2016-01-23,2016-01-24,,0,,,,,Risk of Recidivism,2,Low,2013-10-10,Risk of Violence,2,Low,2013-10-10,2014-03-21,2014-03-22,4,0,162,0,0,0 +6106,derrius davis,derrius,davis,2013-08-24,Male,1988-08-20,27,25 - 45,African-American,0,6,0,0,7,-1,2013-08-23 11:30:37,2013-08-28 03:25:56,13011893CF10A,2013-08-23,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-24,Risk of Violence,4,Low,2013-08-24,2013-08-23,2013-08-28,7,4,951,0,0,0 +6107,yaneia camejogarzon,yaneia,camejogarzon,2014-01-01,Female,1991-08-14,24,Less than 25,Caucasian,0,8,0,0,0,-1,2013-12-31 05:48:21,2014-01-02 03:47:34,14000021CF10A,2013-12-31,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-01-01,Risk of Violence,5,Medium,2014-01-01,2015-03-17,2015-03-24,0,1,440,0,0,0 +6109,tristan fernandez,tristan,fernandez,2013-09-11,Male,1995-08-11,20,Less than 25,Caucasian,0,3,0,0,0,-1,2013-09-10 10:25:50,2013-09-11 01:42:53,13012788CF10A,2013-09-10,,1,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-11,Risk of Violence,6,Medium,2013-09-11,2013-09-10,2013-09-11,0,0,933,0,0,0 +6110,lauren emigh,lauren,emigh,2013-11-22,Female,1992-07-18,23,Less than 25,Caucasian,0,3,0,0,0,-1,2013-11-21 02:57:55,2013-11-21 09:38:19,13016183CF10A,2013-11-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-22,Risk of Violence,3,Low,2013-11-22,2015-05-13,2015-06-25,0,0,537,0,0,0 +6111,veronica talavera,veronica,talavera,2013-01-02,Female,1967-10-28,48,Greater than 45,African-American,0,1,0,0,0,0,2013-01-02 02:49:09,2013-01-02 07:16:44,13000133MM10A,2013-01-02,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-02,Risk of Violence,1,Low,2013-01-02,2013-01-02,2013-01-02,0,0,1185,0,0,0 +6114,shannon clark,shannon,clark,2013-08-21,Female,1974-11-01,41,25 - 45,Caucasian,0,5,0,0,3,-1,2013-08-20 06:27:59,2013-08-21 09:19:32,13011676CF10A,2013-08-20,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-21,Risk of Violence,2,Low,2013-08-21,2013-08-20,2013-08-21,3,0,954,0,0,0 +6118,denise lefebvre,denise,lefebvre,2014-01-17,Female,1961-09-11,54,Greater than 45,Caucasian,0,5,0,0,7,-98,2013-10-11 10:08:29,2013-10-31 12:19:48,92019087CF10A,,2013-10-11,98,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-17,Risk of Violence,2,Low,2014-01-17,2013-10-11,2013-10-31,7,0,805,0,0,0 +6119,shantavia robinson,shantavia,robinson,2013-04-09,Female,1990-07-02,25,25 - 45,African-American,0,10,0,0,5,,,,12005762MM10A,2012-03-16,,389,M,Trespass Structure/Conveyance,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-09,Risk of Violence,9,High,2013-04-09,,,5,0,1088,0,0,0 +6123,briana angelini,briana,angelini,2013-12-20,Female,1994-03-03,22,Less than 25,Caucasian,0,3,0,0,2,-1,2013-12-19 08:49:18,2013-12-20 07:52:14,13017517CF10A,,2013-12-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-20,Risk of Violence,4,Low,2013-12-20,2013-12-19,2013-12-20,2,0,833,0,0,0 +6125,jocelyn ducardy,jocelyn,ducardy,2014-03-24,Male,1984-02-22,32,25 - 45,African-American,0,1,0,0,7,-1,2014-03-23 09:07:04,2014-03-24 02:30:02,14004092CF10A,2014-03-23,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-24,Risk of Violence,1,Low,2014-03-24,2014-03-23,2014-03-24,7,0,739,0,0,0 +6127,ray lambert,ray,lambert,2013-10-28,Male,1971-09-19,44,25 - 45,African-American,0,1,0,0,0,-1,2013-10-27 03:36:19,2013-10-29 04:11:32,13020339MM10A,2013-10-27,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-28,Risk of Violence,1,Low,2013-10-28,2015-03-04,2015-03-06,0,1,492,0,0,0 +6129,venorrice wells,venorrice,wells,2013-08-22,Male,1987-10-11,28,25 - 45,African-American,0,1,0,0,1,-90,2013-05-24 09:25:40,2013-07-12 01:01:04,13007436CF10A,2013-05-24,,90,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-22,Risk of Violence,2,Low,2013-08-22,2013-05-24,2013-07-12,1,0,953,0,0,0 +6131,leroy rolle,leroy,rolle,2013-12-15,Male,1956-02-08,60,Greater than 45,African-American,0,1,0,0,3,-1,2013-12-14 11:18:05,2013-12-15 08:36:52,13023183MM10A,2013-12-14,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-14,2013-12-15,3,0,838,0,0,0 +6133,joseph suarez,joseph,suarez,2013-02-13,Male,1967-02-06,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-13 12:43:40,2013-02-13 07:55:01,13002177CF10A,2013-02-12,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-02-13,2013-02-13,0,0,1143,0,0,0 +6134,christopher jones,christopher,jones,2013-09-30,Male,1983-08-04,32,25 - 45,African-American,0,4,0,0,9,-59,2013-08-02 03:29:13,2013-09-28 07:20:42,13010912CF10A,2013-08-01,,60,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,3,Low,2013-09-30,2013-08-02,2013-09-28,9,0,914,0,0,0 +6135,james francois,james,francois,2013-09-18,Male,1986-01-03,30,25 - 45,African-American,0,4,0,0,10,0,2013-09-18 03:06:31,2013-09-20 01:52:58,13017795MM10A,2013-09-18,,0,M,Battery,1,13021228MM10A,(M1),0,2013-11-11,Possess Cannabis/20 Grams Or Less,2013-11-11,2013-11-13,,1,14007748MM10A,(M1),2014-05-11,Battery,Risk of Recidivism,4,Low,2013-09-18,Risk of Violence,5,Medium,2013-09-18,2013-11-11,2013-11-13,10,2,54,1,1,1 +6137,jesse teplicki,jesse,teplicki,2013-01-16,Male,1964-04-16,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-15 03:54:42,2013-01-16 04:51:43,13000693CF10A,2013-01-15,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-16,Risk of Violence,1,Low,2013-01-16,2013-01-15,2013-01-16,0,0,1171,0,0,0 +6139,latavia bertrane,latavia,bertrane,2014-02-22,Female,1988-12-20,27,25 - 45,African-American,0,10,0,0,1,,,,11005752CF10A,2011-04-03,,1056,M,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-02-22,Risk of Violence,9,High,2014-02-22,,,1,0,769,0,0,0 +6140,james gefrard,james,gefrard,2014-01-13,Male,1981-12-24,34,25 - 45,African-American,0,10,0,0,0,-1,2014-01-12 09:56:37,2014-01-14 01:14:37,14000523CF10A,2014-01-12,,1,F,Poss Wep Conv Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-13,Risk of Violence,9,High,2014-01-13,2014-01-12,2014-01-14,0,1,809,0,0,0 +6143,gerard mariney,gerard,mariney,2013-05-11,Male,1960-12-12,55,Greater than 45,African-American,0,4,0,0,5,-1,2013-05-10 11:31:10,2013-05-14 01:32:21,13006732CF10A,2013-05-10,,1,F,Felony Battery w/Prior Convict,1,13011138MM10A,(M1),1,2013-06-09,Viol Pretrial Release Dom Viol,2013-06-10,2013-07-25,,1,14000515MM10A,(M1),2014-01-10,Battery,Risk of Recidivism,4,Low,2013-05-11,Risk of Violence,1,Low,2013-05-11,2013-05-10,2013-05-14,5,3,29,1,1,1 +6145,derek williams,derek,williams,2013-09-06,Male,1978-08-29,37,25 - 45,African-American,0,6,0,0,6,,,,12004489MM10A,2012-03-03,,552,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-06,Risk of Violence,5,Medium,2013-09-06,2005-12-08,2006-09-04,6,0,938,0,0,0 +6146,marc jean,marc,jean,2013-02-19,Male,1982-09-29,33,25 - 45,African-American,0,7,0,0,0,-1,2013-02-18 06:09:43,2013-02-19 01:30:31,13004166MM10A,2013-02-18,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-19,Risk of Violence,7,Medium,2013-02-19,2013-02-18,2013-02-19,0,0,1137,0,0,0 +6148,nicole pratt,nicole,pratt,2013-05-01,Female,1989-02-05,27,25 - 45,African-American,0,2,0,0,0,0,2013-05-01 05:32:30,2013-05-02 12:23:41,13008466MM10A,2013-05-01,,0,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-05-01,2013-05-02,0,1,1066,0,0,0 +6150,virgina tongyai,virgina,tongyai,2013-04-19,Male,1982-11-13,33,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-18 03:40:20,2013-06-11 01:18:17,13005554CF10A,2013-04-18,,1,F,Burglary Assault/Battery Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-04-18,2013-06-11,0,53,1078,0,0,0 +6152,arrington montgomery,arrington,montgomery,2014-02-05,Male,1989-11-22,26,25 - 45,African-American,0,2,0,0,0,-1,2014-02-04 03:22:51,2014-02-06 09:10:51,14001958MM10A,2014-02-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-05,Risk of Violence,2,Low,2014-02-05,2014-02-04,2014-02-06,0,1,786,0,0,0 +6153,teras hope,teras,hope,2013-02-11,Male,1986-11-29,29,25 - 45,African-American,0,5,0,0,0,-1,2013-02-10 08:16:13,2013-02-12 05:23:27,13002935MM10A,2013-02-10,,1,M,DWLS Canceled Disqul 1st Off,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-11,Risk of Violence,2,Low,2013-02-11,2013-02-10,2013-02-12,0,1,1145,0,0,0 +6154,steve marcelin,steve,marcelin,2013-02-25,Male,1983-09-22,32,25 - 45,African-American,0,3,0,0,1,0,2013-02-25 06:09:27,2013-02-25 07:08:19,13003938MM10A,2013-02-25,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-25,Risk of Violence,4,Low,2013-02-25,2013-02-25,2013-02-25,1,0,1131,0,0,0 +6156,matthew graf,matthew,graf,2013-02-09,Male,1978-08-13,37,25 - 45,Caucasian,0,1,0,0,4,0,2013-02-09 12:56:56,2013-02-10 08:05:29,13002922MM10A,2013-02-09,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-09,Risk of Violence,1,Low,2013-02-09,2013-02-09,2013-02-10,4,1,1147,0,0,0 +6159,kenneth thomas,kenneth,thomas,2013-02-24,Male,1984-07-06,31,25 - 45,African-American,0,10,0,0,15,0,2013-02-24 02:24:03,2013-06-08 03:36:28,12015649CF10A,,2013-02-24,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-24,Risk of Violence,7,Medium,2013-02-24,2014-06-16,2014-06-16,15,104,477,0,0,0 +6161,michael marti,michael,marti,2013-04-06,Male,1984-08-13,31,25 - 45,African-American,0,4,0,0,6,0,2013-04-06 05:10:18,2013-05-17 06:20:04,12013508CF10A,,2013-04-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-06,Risk of Violence,2,Low,2013-04-06,2013-11-06,2013-12-12,6,41,214,0,0,0 +6162,summer sands,summer,sands,2013-11-13,Female,1980-03-07,36,25 - 45,Caucasian,0,3,0,0,2,-1,2013-11-12 12:13:54,2013-11-14 09:49:20,13015714CF10A,2013-11-12,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-13,Risk of Violence,3,Low,2013-11-13,2013-11-12,2013-11-14,2,1,870,0,0,0 +6163,rashon king,rashon,king,2013-12-01,Male,1980-05-04,35,25 - 45,African-American,0,6,0,0,4,-309,2013-01-26 01:59:45,2013-02-01 09:53:09,13021716MO10A,2013-11-11,,20,M,Poss Of Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-01,Risk of Violence,7,Medium,2013-12-01,2013-01-26,2013-02-01,4,0,852,0,0,0 +6164,thaffi wilson,thaffi,wilson,2014-02-24,Female,1978-10-19,37,25 - 45,African-American,0,1,0,0,1,-11,2014-02-13 01:39:00,2014-02-22 01:33:17,14002070CF10A,2014-02-13,,11,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-13,2014-02-22,1,0,767,0,0,0 +6165,patrick burrows,patrick,burrows,2013-04-20,Male,1981-10-31,34,25 - 45,Caucasian,0,2,0,0,5,-1,2013-04-19 03:20:12,2013-04-25 05:18:59,13007855MM10A,2013-03-08,,43,M,Petit Theft,1,13001415MM20A,(M2),,2013-05-17,Petit Theft,,,,1,15016210CF10A,(F2),2015-12-19,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-04-19,2013-04-25,5,5,27,1,1,1 +6167,kim hopkins,kim,hopkins,2013-09-11,Female,1965-05-04,50,Greater than 45,African-American,0,6,0,0,12,316,2014-07-24 11:59:36,2015-10-02 09:23:38,12024138MM10A,2012-11-26,,289,M,Battery,1,14010110CF10A,(F3),0,2014-07-24,Tampering With Physical Evidence,2014-07-24,2015-10-02,,1,14010110CF10A,(F2),2014-07-24,Attempt Murder in the First Degree,Risk of Recidivism,6,Medium,2013-09-11,Risk of Violence,3,Low,2013-09-11,2014-07-24,2015-10-02,12,0,316,1,1,1 +6171,felisha jones,felisha,jones,2013-06-21,Female,1971-01-17,45,Greater than 45,African-American,0,1,0,0,1,-4,2013-06-17 11:22:11,2013-06-20 09:23:01,13008542CF10A,2013-06-17,,4,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-21,Risk of Violence,1,Low,2013-06-21,2013-06-17,2013-06-20,1,0,1015,0,0,0 +6173,cephus melton,cephus,melton,2013-03-04,Male,1945-11-12,70,Greater than 45,African-American,0,1,0,0,0,-1,2013-03-03 05:55:08,2013-03-04 07:31:12,13004314MM10A,2013-03-03,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-03,2013-03-04,0,0,1124,0,0,0 +6175,ronald mccloud,ronald,mccloud,2013-08-23,Male,1989-10-25,26,25 - 45,African-American,0,4,0,0,2,607,2015-04-22 04:27:32,2015-05-29 09:39:22,10011424CF10A,,2010-06-23,1157,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,4,Low,2013-08-23,2015-04-22,2015-05-29,2,0,607,0,0,0 +6177,patrick frazier,patrick,frazier,2014-01-15,Male,1993-01-12,23,Less than 25,African-American,1,9,0,0,4,-1,2014-01-14 03:17:08,2014-01-17 03:58:38,13017444CF10A,,2014-01-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-15,Risk of Violence,9,High,2014-01-15,2015-05-26,2015-06-02,4,2,496,0,0,0 +6178,jonathan cooper,jonathan,cooper,2014-01-02,Male,1989-01-05,27,25 - 45,Caucasian,0,4,0,0,5,-12,2013-12-21 05:45:16,2013-12-23 06:49:08,14006947TC10A,2013-12-21,,12,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-02,Risk of Violence,3,Low,2014-01-02,2013-12-21,2013-12-23,5,0,820,0,0,0 +6180,antonio rivera,antonio,rivera,2013-01-18,Male,1993-04-17,23,Less than 25,African-American,0,3,0,0,2,334,2013-12-18 06:29:40,2014-03-28 12:09:52,12017929CF10A,,2013-01-18,0,M,arrest case no charge,1,13016098CF10A,(F2),59,2013-10-20,Robbery / No Weapon,2013-12-18,2014-03-28,,1,13016098CF10A,(F2),2013-10-20,Robbery / No Weapon,Risk of Recidivism,3,Low,2013-01-18,Risk of Violence,4,Low,2013-01-18,2015-02-16,2015-03-04,2,0,275,1,1,1 +6182,nicholas lindsey,nicholas,lindsey,2013-02-26,Male,1989-10-11,26,25 - 45,African-American,0,5,0,0,0,-1,2013-02-25 09:12:24,2013-02-26 06:38:57,13003930MM10A,2013-02-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-26,Risk of Violence,3,Low,2013-02-26,2015-02-27,2015-02-28,0,0,731,0,0,0 +6183,alexis baldinger,alexis,baldinger,2013-03-07,Female,1992-07-05,23,Less than 25,Caucasian,0,6,0,0,2,-1,2013-03-06 09:57:15,2013-03-07 07:12:13,13004534MM10A,2013-03-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-07,Risk of Violence,4,Low,2013-03-07,2013-03-06,2013-03-07,2,0,1121,0,0,0 +6189,mireya cuevas,mireya,cuevas,2013-01-14,Female,1970-01-05,46,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-01-13 01:54:20,2013-02-07 08:44:30,13000609CF10A,2013-01-12,,2,F,Felony Batt(Great Bodily Harm),1,16000872MM10A,(M1),0,2016-01-25,Battery,2016-01-25,2016-01-26,,1,16000872MM10A,(M1),2016-01-25,Battery,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,1,Low,2013-01-14,2016-01-25,2016-01-26,1,24,1106,1,0,0 +6191,ciprianna spann,ciprianna,spann,2013-05-08,Female,1988-12-08,27,25 - 45,African-American,1,5,0,0,1,0,2013-05-08 10:06:06,2013-06-04 06:24:40,08003834CF10A,,2013-05-08,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-08,Risk of Violence,4,Low,2013-05-08,2013-05-08,2013-06-04,1,27,1059,0,0,0 +6192,brad thompson,brad,thompson,2013-02-21,Male,1970-09-12,45,Greater than 45,Caucasian,0,2,0,0,7,-1,2013-02-20 05:56:15,2013-02-21 07:41:49,13004702CF10A,2013-02-20,,1,F,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-21,Risk of Violence,2,Low,2013-02-21,2013-02-20,2013-02-21,7,0,1135,0,0,0 +6193,antwain smith,antwain,smith,2013-10-21,Male,1973-12-27,42,25 - 45,African-American,0,5,0,0,1,-12,2013-10-09 12:43:56,2013-10-17 09:27:59,01007205MM10A,,2013-10-09,12,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-21,Risk of Violence,2,Low,2013-10-21,2013-10-09,2013-10-17,1,0,893,0,0,0 +6198,richard fiora,richard,fiora,2013-09-24,Male,1966-12-22,49,Greater than 45,Caucasian,0,4,0,0,3,0,2013-09-24 02:46:20,2013-09-24 07:16:50,13013433CF10A,2013-09-24,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-24,Risk of Violence,2,Low,2013-09-24,2014-04-10,2014-05-02,3,0,198,0,0,0 +6200,miguel palazuelos,miguel,palazuelos,2013-10-14,Male,1987-03-24,29,25 - 45,Hispanic,0,2,0,0,0,0,2013-10-14 05:56:17,2013-10-14 02:00:55,13014371CF10A,2013-10-14,,0,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-14,Risk of Violence,2,Low,2013-10-14,2013-10-14,2013-10-14,0,0,900,0,0,0 +6201,mary ledbetter,mary,ledbetter,2013-10-16,Female,1964-03-24,52,Greater than 45,Caucasian,0,1,0,0,1,-8,2013-10-08 04:39:44,2013-10-11 10:06:11,13014108CF10A,2013-10-08,,8,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-16,Risk of Violence,1,Low,2013-10-16,2013-11-21,2013-11-23,1,0,36,0,0,0 +6202,douglas pineda,douglas,pineda,2014-02-03,Male,1978-09-12,37,25 - 45,Hispanic,0,1,0,0,4,0,2014-02-03 03:30:54,2014-02-04 04:02:26,14001881MM10A,2014-02-03,,0,M,Battery,1,14011609TC20A,(M2),,2014-02-12,Operating W/O Valid License,,,,1,15016503CF10A,(F3),2015-12-27,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-03,2014-02-04,4,1,9,1,1,1 +6203,phillip frost,phillip,frost,2013-03-18,Male,1990-04-05,26,25 - 45,African-American,0,3,0,0,1,-1,2013-03-17 01:16:50,2013-03-24 03:44:00,13005218MM10A,2013-03-17,,1,M,Battery,1,15041727TC20A,(M2),,2015-07-18,Driving License Suspended,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-18,Risk of Violence,4,Low,2013-03-18,2013-03-17,2013-03-24,1,6,852,1,0,0 +6206,marcelo silva,marcelo,silva,2014-01-23,Male,1968-06-04,47,Greater than 45,Hispanic,0,1,0,0,1,-27,2013-12-27 08:28:22,2014-01-13 09:12:03,10014588CF10A,,2013-12-27,27,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-23,Risk of Violence,1,Low,2014-01-23,2013-12-27,2014-01-13,1,0,799,0,0,0 +6208,jodarian warner,jodarian,warner,2013-01-11,Male,1991-02-19,25,25 - 45,African-American,0,6,0,0,1,0,2013-01-11 12:35:37,2013-01-11 01:14:09,13000430CF10A,2013-01-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-11,Risk of Violence,6,Medium,2013-01-11,2013-01-11,2013-01-11,1,0,1176,0,0,0 +6210,jeffrey orys,jeffrey,orys,2014-07-28,Male,1994-05-24,21,Less than 25,African-American,1,10,0,0,1,-1,2014-07-27 08:09:50,2014-08-02 04:56:49,14010231CF10A,2014-07-27,,1,F,Burglary Conveyance Unoccup,1,14014010CF10A,(F3),0,2014-10-17,Tampering With Physical Evidence,2014-10-17,2015-02-24,,1,14014010CF10A,(F3),2014-10-17,Robbery Sudd Snatch No Weapon,Risk of Recidivism,10,High,2014-07-28,Risk of Violence,9,High,2014-07-28,2014-10-17,2015-02-24,1,5,81,1,1,1 +6212,mark murray,mark,murray,2013-03-30,Male,1968-02-10,48,Greater than 45,African-American,0,1,0,0,0,0,2013-03-30 03:01:12,2013-03-31 06:57:38,13006154MM10A,2013-03-30,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-30,2013-03-31,0,1,1098,0,0,0 +6213,joanna english,joanna,english,2013-03-20,Female,1976-04-06,40,25 - 45,Caucasian,0,2,0,0,1,-55,2013-01-24 11:43:37,2013-01-25 08:58:42,13001192CF10A,2013-01-24,,55,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-10-06,2013-10-06,1,0,200,0,0,0 +6215,jamielle whittaker,jamielle,whittaker,2013-12-17,Female,1992-02-28,24,Less than 25,Other,0,3,0,0,0,-1,2013-12-16 08:36:34,2013-12-17 09:48:55,13017373CF10A,2013-12-16,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-17,Risk of Violence,3,Low,2013-12-17,2013-12-16,2013-12-17,0,0,836,0,0,0 +6216,kenneth haggins,kenneth,haggins,2013-04-20,Male,1993-04-21,22,Less than 25,African-American,0,4,0,0,0,-1,2013-04-19 11:29:08,2013-04-20 01:45:16,13005629CF10A,2013-04-19,,1,F,Burglary Dwelling Occupied,1,14002519CF10A,(F3),0,2014-02-22,Possession of Cannabis,2014-02-22,2014-02-23,,1,15011072MM10A,(M1),2015-10-01,Battery,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2014-02-22,2014-02-23,0,0,308,1,1,1 +6219,robert coleman,robert,coleman,2013-03-28,Male,1980-01-25,36,25 - 45,African-American,0,8,0,0,4,,,,11028234MM10A,,2013-03-27,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-28,Risk of Violence,5,Medium,2013-03-28,,,4,0,1100,0,0,0 +6221,kenneth scott,kenneth,scott,2013-01-22,Male,1977-10-30,38,25 - 45,Caucasian,0,2,0,0,2,0,2013-01-22 02:44:16,2013-02-19 08:46:07,13001490MM10A,2013-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,1,Low,2013-01-22,2015-01-09,2015-01-09,2,28,717,0,0,0 +6223,leroy bailey,leroy,bailey,2013-10-22,Male,1961-05-15,54,Greater than 45,Other,0,1,0,0,2,-1,2013-10-21 09:41:20,2013-10-22 08:05:35,13019946MM10A,2013-10-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-10-22,2,0,892,0,0,0 +6224,isaac salmeronoliva,isaac,salmeronoliva,2013-01-21,Male,1991-08-06,24,Less than 25,Hispanic,0,4,0,0,1,0,2013-01-21 11:48:52,2013-02-01 08:09:36,13000972CF10A,,2013-01-21,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-21,Risk of Violence,4,Low,2013-01-21,2013-01-21,2013-02-01,1,11,1166,0,0,0 +6226,katherine pugliese,katherine,pugliese,2013-04-08,Female,1972-03-05,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-07 09:28:33,2013-04-08 08:23:11,13006658MM10A,2013-04-07,,1,M,Disorderly Conduct,1,14005177CF10A,(M2),1,2014-04-12,Criminal Mischief Damage <$200,2014-04-13,2014-06-20,,1,14005177CF10A,(M1),2014-04-12,Battery,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2015-05-24,2015-06-27,0,0,369,1,1,1 +6228,kevin watrous,kevin,watrous,2013-10-30,Male,1952-03-22,64,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-29 11:55:33,2013-10-30 08:18:51,13020467MM10A,2013-10-29,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2013-10-29,2013-10-30,0,0,884,0,0,0 +6230,julietta gustave,julietta,gustave,2013-08-19,Female,1970-11-04,45,Greater than 45,Other,0,1,0,0,0,-1,2013-08-18 09:01:18,2013-08-19 08:01:53,13015663MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-19,0,0,956,0,0,0 +6231,torrence howard,torrence,howard,2013-10-10,Male,1966-07-31,49,Greater than 45,African-American,0,5,0,0,1,-1,2013-10-09 04:35:47,2013-10-14 09:00:33,13014180CF10A,2013-10-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-10,Risk of Violence,6,Medium,2013-10-10,2013-10-09,2013-10-14,1,4,904,0,0,0 +6234,delvea crew,delvea,crew,2013-08-01,Female,1971-02-20,45,Greater than 45,African-American,0,7,0,0,3,,,,95012273CF10A,1995-07-13,,6594,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-01,Risk of Violence,2,Low,2013-08-01,,,3,0,974,0,0,0 +6236,phat huynh,phat,huynh,2014-03-02,Male,1982-09-13,33,25 - 45,Asian,0,1,0,0,0,-1,2014-03-01 11:10:20,2014-03-02 07:53:27,14003542MM10A,2014-03-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-02,Risk of Violence,1,Low,2014-03-02,2014-03-01,2014-03-02,0,0,761,0,0,0 +6238,raymond martinez,raymond,martinez,2013-03-29,Male,1971-12-09,44,25 - 45,Hispanic,0,2,0,0,2,-1,2013-03-28 05:17:58,2013-03-29 09:19:00,13004500CF10A,2013-03-28,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-29,Risk of Violence,1,Low,2013-03-29,2013-03-28,2013-03-29,2,0,1099,0,0,0 +6239,winston stanley,winston,stanley,2013-09-10,Male,1964-12-28,51,Greater than 45,African-American,0,1,0,0,3,-1,2013-09-09 08:22:20,2013-09-12 08:28:20,13012748CF10A,,2013-09-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-12,3,2,934,0,0,0 +6240,william jamison,william,jamison,2013-01-27,Male,1965-10-07,50,Greater than 45,African-American,0,1,0,0,0,0,2013-01-27 03:37:16,2013-01-28 02:50:27,13001318CF10A,2013-01-27,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-27,Risk of Violence,1,Low,2013-01-27,2014-03-05,2014-03-09,0,1,402,0,0,0 +6241,jason cousino,jason,cousino,2013-10-11,Male,1982-12-29,33,25 - 45,Caucasian,0,2,2,0,2,-22,2013-09-19 09:34:52,2013-10-11 06:19:13,13017888MM10A,2013-09-19,,22,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-11,Risk of Violence,2,Low,2013-10-11,2013-09-19,2013-10-11,2,0,903,0,0,0 +6242,josefa opert,josefa,opert,2014-01-16,Female,1962-01-29,54,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-15 02:16:34,2014-02-14 01:29:00,14000766MM10A,2014-01-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2014-01-15,2014-02-14,0,29,806,0,0,0 +6245,michael ciriago,michael,ciriago,2014-02-20,Male,1982-09-23,33,25 - 45,Caucasian,0,9,0,1,14,-78,2013-12-04 09:02:14,2014-02-12 11:17:42,13016873CF10A,,2013-12-04,78,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-20,Risk of Violence,8,High,2014-02-20,2014-11-25,2014-12-06,14,0,278,0,0,0 +6248,scott jimison,scott,jimison,2013-10-23,Male,1981-08-05,34,25 - 45,Caucasian,0,1,0,0,3,-1,2013-10-22 09:14:51,2013-10-23 11:28:30,13014740CF10A,2013-10-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2013-10-22,2013-10-23,3,0,891,0,0,0 +6250,kalif fletcher,kalif,fletcher,2013-01-17,Male,1994-06-07,21,Less than 25,African-American,0,9,0,0,1,-1,2013-01-16 04:32:53,2013-01-17 07:40:18,13000768CF10A,2013-01-16,,1,F,Bribery Athletic Contests,1,13008535MM10A,(M1),1,2013-05-02,Resist/Obstruct W/O Violence,2013-05-03,2013-05-04,,1,13016054CF10A,(M2),2013-11-19,Assault,Risk of Recidivism,9,High,2013-01-17,Risk of Violence,8,High,2013-01-17,2015-08-08,2015-09-21,1,0,105,1,1,1 +6251,kenson jeanpierre,kenson,jeanpierre,2013-10-05,Male,1982-10-06,33,25 - 45,African-American,0,4,0,0,5,0,2013-10-05 12:47:51,2013-10-05 07:14:01,13013964CF10A,2013-10-04,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-05,Risk of Violence,2,Low,2013-10-05,2013-10-05,2013-10-05,5,0,909,0,0,0 +6256,johnny jones,johnny,jones,2013-01-24,Male,1983-10-13,32,25 - 45,African-American,0,7,0,1,9,-1,2013-01-23 08:51:29,2013-02-15 09:20:28,11017426MM10A,,2013-01-23,1,M,arrest case no charge,1,13020739MM10A,(M1),1,2013-09-24,Resist/Obstruct W/O Violence,2013-09-25,2013-09-25,,1,15007306MM10A,(M1),2015-05-07,Battery,Risk of Recidivism,7,Medium,2013-01-24,Risk of Violence,4,Low,2013-01-24,2013-01-23,2013-02-15,9,22,243,1,1,1 +6259,nicholas satterfield,nicholas,satterfield,2014-01-01,Male,1970-06-26,45,Greater than 45,Caucasian,0,1,0,0,1,0,2014-01-01 03:58:45,2014-01-02 12:15:31,14000050MM10A,2014-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-01,Risk of Violence,1,Low,2014-01-01,2014-01-01,2014-01-02,1,1,821,0,0,0 +6264,nikki howard,nikki,howard,2014-02-13,Female,1986-11-12,29,25 - 45,African-American,0,10,0,0,0,-1,2014-02-12 09:29:02,2014-02-14 05:18:35,14002005CF10A,2014-02-12,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-02-13,Risk of Violence,7,Medium,2014-02-13,2014-02-12,2014-02-14,0,1,778,0,0,0 +6266,steven hill,steven,hill,2013-05-04,Male,1971-08-02,44,25 - 45,African-American,0,3,0,0,3,-86,2013-02-07 01:19:01,2013-02-08 06:24:09,13021431TC10A,2013-05-03,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-02-07,2013-02-08,3,0,1063,0,0,0 +6268,brittany woodard,brittany,woodard,2014-01-29,Female,1988-03-22,28,25 - 45,African-American,0,3,0,0,0,-1,2014-01-28 10:38:19,2014-01-29 02:13:39,14001234CF10A,2014-01-28,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-29,Risk of Violence,3,Low,2014-01-29,2014-01-28,2014-01-29,0,0,793,0,0,0 +6271,arthur fogel,arthur,fogel,2014-01-01,Male,1989-03-10,27,25 - 45,Caucasian,0,3,0,0,1,-1,2013-12-31 09:37:13,2014-01-01 08:36:34,14000025CF10A,2013-12-31,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-01,Risk of Violence,2,Low,2014-01-01,2013-12-31,2014-01-01,1,0,821,0,0,0 +6278,chianti white,chianti,white,2014-03-25,Female,1985-06-06,30,25 - 45,African-American,0,2,0,0,0,0,2014-03-25 12:40:00,2014-03-25 09:14:31,14004158CF10A,2014-03-24,,1,F,Grand Theft on 65 Yr or Older,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-25,Risk of Violence,3,Low,2014-03-25,2014-03-25,2014-03-25,0,0,738,0,0,0 +6280,christopher guyer,christopher,guyer,2013-04-11,Male,1983-07-06,32,25 - 45,African-American,0,7,0,0,0,-1,2013-04-10 09:50:36,2013-04-12 06:00:18,13006970MM10A,2013-04-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-11,Risk of Violence,2,Low,2013-04-11,2013-04-10,2013-04-12,0,1,1086,0,0,0 +6281,john smith,john,smith,2013-08-23,Male,1988-11-18,27,25 - 45,Caucasian,0,4,0,0,5,-1,2013-08-22 10:46:01,2013-08-23 08:10:56,13011811CF10A,2013-08-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,3,Low,2013-08-23,2013-08-22,2013-08-23,5,0,952,0,0,0 +6283,carla silva,carla,silva,2013-09-23,Female,1954-03-01,62,Greater than 45,Other,0,-1,0,0,1,-2,2013-09-21 10:16:36,2013-09-22 01:50:26,13013329CF10A,2013-09-21,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,-1,N/A,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-21,2013-09-22,1,0,921,0,0,0 +6284,vestin madaire,vestin,madaire,2013-05-14,Male,1995-03-11,21,Less than 25,African-American,0,5,0,0,0,-1,2013-05-13 07:56:26,2013-05-15 01:24:31,13006837CF10A,2013-05-13,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-14,Risk of Violence,7,Medium,2013-05-14,2015-03-17,2015-03-24,0,1,672,0,0,0 +6287,walter rojas,walter,rojas,2013-04-08,Male,1984-04-13,32,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-07 07:03:09,2013-04-26 08:49:05,13006645MM10A,2013-04-07,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-08,Risk of Violence,1,Low,2013-04-08,2013-04-07,2013-04-26,0,18,1089,0,0,0 +6292,alvin farquharson,alvin,farquharson,2014-02-13,Male,1959-09-21,56,Greater than 45,African-American,0,1,0,0,3,-28,2014-01-16 12:26:12,2014-01-31 09:03:56,13007787MM10A,,2014-01-16,28,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2014-01-16,2014-01-31,3,0,778,0,0,0 +6293,yolette comete,yolette,comete,2013-02-23,Female,1971-04-26,44,25 - 45,African-American,0,1,0,0,0,-1,2013-02-22 01:00:39,2013-02-23 08:11:29,13003758MM10A,2013-02-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-23,0,0,1133,0,0,0 +6297,brenda gonzalez,brenda,gonzalez,2013-05-21,Female,1991-01-19,25,25 - 45,Caucasian,0,7,0,0,6,-1,2013-05-20 07:27:50,2013-06-14 04:06:44,12015023CF10A,,2013-05-21,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-21,Risk of Violence,4,Low,2013-05-21,2013-05-20,2013-06-14,6,24,1046,0,0,0 +6299,ashanna simms,ashanna,simms,2013-09-10,Female,1995-06-27,20,Less than 25,African-American,0,5,0,0,0,-1,2013-09-09 08:08:27,2013-09-10 07:49:28,13017201MM10A,2013-09-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-10,Risk of Violence,7,Medium,2013-09-10,2013-09-09,2013-09-10,0,0,934,0,0,0 +6300,george snellturner,george,snellturner,2014-01-02,Male,1980-09-29,35,25 - 45,African-American,0,5,0,0,1,-1,2014-01-01 11:50:43,2014-01-03 01:39:37,02001473MM30A,2002-04-23,,4272,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-02,Risk of Violence,5,Medium,2014-01-02,2014-01-01,2014-01-03,1,1,820,0,0,0 +6302,micheal brown,micheal,brown,2014-02-02,Male,1992-03-29,24,Less than 25,African-American,0,3,0,0,0,-1,2014-02-01 03:37:21,2014-02-02 07:55:32,14001777MM10A,2014-02-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-02,Risk of Violence,4,Low,2014-02-02,2014-02-01,2014-02-02,0,0,789,0,0,0 +6303,zulma ramos,zulma,ramos,2013-09-30,Female,1975-04-29,40,25 - 45,Hispanic,0,2,0,0,2,-7,2013-09-23 10:17:27,2013-09-27 08:51:45,13042343TC10A,,2013-09-23,7,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-23,2013-09-27,2,0,914,0,0,0 +6305,kentrell sibblis,kentrell,sibblis,2014-01-15,Female,1994-09-01,21,Less than 25,African-American,0,3,0,0,2,-72,2013-11-04 02:27:29,2013-11-05 02:13:57,14000244MM30A,2014-01-03,,12,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-15,Risk of Violence,5,Medium,2014-01-15,2013-11-04,2013-11-05,2,0,807,0,0,0 +6312,james walton,james,walton,2014-08-06,Male,1977-06-27,38,25 - 45,African-American,0,5,0,0,9,-1,2014-08-05 07:00:13,2014-08-07 05:07:25,14010662CF10A,2014-08-05,,1,F,Grand Theft in the 3rd Degree,1,14014846MM10A,(M2),0,2014-09-10,Trespass Struct/Conveyance,2014-09-10,2014-09-11,,1,14014846MM10A,(M1),2014-09-10,Battery,Risk of Recidivism,5,Medium,2014-08-06,Risk of Violence,4,Low,2014-08-06,2014-09-10,2014-09-11,9,1,35,1,1,1 +6317,richard mendez,richard,mendez,2013-04-06,Male,1980-03-23,36,25 - 45,Caucasian,0,6,0,0,9,0,2013-04-06 01:15:11,2013-04-25 06:15:47,12005343CF10A,,2013-04-06,0,F,arrest case no charge,1,14005379MM10A,(M1),1,2014-03-28,Battery,2014-03-29,2014-04-10,,1,14005379MM10A,(M1),2014-03-28,Battery,Risk of Recidivism,6,Medium,2013-04-06,Risk of Violence,4,Low,2013-04-06,2013-04-25,2013-11-25,9,233,356,1,1,1 +6321,andrew williams,andrew,williams,2013-02-23,Male,1983-07-06,32,25 - 45,African-American,0,6,0,0,3,,,,11013722MM10A,2011-05-12,,653,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-23,Risk of Violence,3,Low,2013-02-23,2004-06-17,2007-11-05,3,0,1133,0,0,0 +6324,mitchell machado,mitchell,machado,2013-04-26,Male,1993-02-23,23,Less than 25,Hispanic,0,7,0,1,2,-1,2013-04-25 02:38:32,2013-05-30 09:53:56,13005930CF10A,2013-04-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2013-04-25,2013-05-30,2,34,1071,0,0,0 +6326,luis velasques,luis,velasques,2013-01-27,Male,1993-02-08,23,Less than 25,Caucasian,0,8,0,0,3,-1,2013-01-26 07:15:26,2013-02-21 09:21:04,13001862MM10A,2013-01-26,,1,M,Petit Theft,1,13005848MM10A,(M1),0,2013-03-25,Battery,2013-03-25,2013-05-23,,1,13005848MM10A,(M1),2013-03-25,Battery,Risk of Recidivism,8,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2013-03-25,2013-05-23,3,25,57,1,1,1 +6328,joseph hepburn,joseph,hepburn,2013-10-21,Female,1947-06-27,68,Greater than 45,African-American,0,2,0,0,5,-4,2013-10-17 11:55:00,2013-10-18 07:57:32,13014557CF10A,2013-10-17,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2013-10-17,2013-10-18,5,0,893,0,0,0 +6330,alexandra bastante,alexandra,bastante,2013-04-23,Female,1989-09-12,26,25 - 45,Caucasian,0,5,0,0,2,0,2013-04-23 04:28:21,2013-04-23 07:38:37,13007875MM10A,2013-04-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-23,Risk of Violence,4,Low,2013-04-23,2013-04-23,2013-04-23,2,0,1074,0,0,0 +6332,mark evans,mark,evans,2014-05-23,Male,1965-03-03,51,Greater than 45,African-American,0,4,0,0,0,-1,2014-05-22 04:51:07,2014-05-23 08:08:14,14007156CF10A,2014-05-22,,1,F,Possession of Cocaine,1,14043815TC40A,(M2),,2014-06-16,Driving License Suspended,,,,1,16000727CF10A,(F3),2016-01-16,Child Abuse,Risk of Recidivism,4,Low,2014-05-23,Risk of Violence,1,Low,2014-05-23,2016-01-18,2016-01-22,0,0,24,1,1,1 +6335,brittany shenett,brittany,shenett,2014-02-14,Male,1991-03-18,25,25 - 45,African-American,0,2,0,0,0,-1,2014-02-13 08:49:07,2014-02-14 01:09:30,14002560MM10A,2014-02-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-14,Risk of Violence,3,Low,2014-02-14,2014-02-13,2014-02-14,0,0,777,0,0,0 +6337,john coleman,john,coleman,2014-02-04,Male,1964-08-14,51,Greater than 45,African-American,0,5,0,0,14,-11,2014-01-24 12:28:43,2014-02-01 10:20:54,10008126CF10A,,2014-01-24,11,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-04,Risk of Violence,2,Low,2014-02-04,2015-07-27,2015-09-10,14,0,538,0,0,0 +6341,wally germain-philistin,wally,germain-philistin,2014-01-22,Male,1980-01-23,36,25 - 45,Other,0,1,0,0,0,-1,2014-01-21 12:17:06,2014-01-24 03:19:22,14001013MM10A,2014-01-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2014-01-21,2014-01-24,0,2,800,0,0,0 +6344,christopher anchia,christopher,anchia,2013-05-02,Male,1987-11-16,28,25 - 45,Caucasian,0,7,0,0,5,-76,2013-02-15 04:11:18,2013-02-21 12:49:55,12015748MM10A,,2012-10-31,183,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-02,Risk of Violence,6,Medium,2013-05-02,2015-08-31,2015-09-03,5,0,851,0,0,0 +6345,bryant yopp,bryant,yopp,2013-08-06,Male,1995-06-16,20,Less than 25,African-American,0,3,0,0,0,-4,2013-08-02 12:53:34,2013-08-06 10:33:58,13010785CF10A,2013-08-01,,5,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-06,Risk of Violence,6,Medium,2013-08-06,2013-08-02,2013-08-06,0,0,969,0,0,0 +6349,gerald mackey,gerald,mackey,2013-09-11,Female,1985-04-17,31,25 - 45,African-American,0,2,0,0,0,0,2013-09-11 02:25:29,2013-09-12 05:28:48,13012845CF10A,2013-09-10,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-11,Risk of Violence,2,Low,2013-09-11,2013-09-11,2013-09-12,0,1,933,0,0,0 +6353,frantz guerrier,frantz,guerrier,2013-05-27,Male,1958-08-08,57,Greater than 45,African-American,0,1,0,0,0,0,2013-05-27 01:52:05,2013-05-28 01:12:21,13010156MM10A,2013-05-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-27,2013-05-28,0,1,1040,0,0,0 +6356,danny diaz,danny,diaz,2014-04-04,Male,1980-05-24,35,25 - 45,Hispanic,0,1,0,0,3,-23,2014-03-12 08:21:31,2014-03-22 02:23:24,14003503CF10A,2014-03-12,,23,F,Burglary Structure Unoccup,1,15008627MM10A,(M1),0,2015-08-15,Battery,2015-08-15,2015-09-26,,1,15008627MM10A,(M1),2015-08-15,Battery,Risk of Recidivism,1,Low,2014-04-04,Risk of Violence,2,Low,2014-04-04,2015-08-15,2015-09-26,3,0,498,1,1,1 +6360,laura viera,laura,viera,2014-03-20,Male,1977-01-22,39,25 - 45,Caucasian,0,3,0,0,0,-1,2014-03-19 08:21:38,2014-03-20 10:14:17,14003890CF10A,2014-03-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-20,Risk of Violence,2,Low,2014-03-20,2014-03-19,2014-03-20,0,0,743,0,0,0 +6361,pierre breedlove,pierre,breedlove,2013-01-05,Male,1992-03-06,24,Less than 25,African-American,0,7,1,0,1,-1,2013-01-04 03:20:01,2013-02-06 10:00:42,13000178CF10A,2013-01-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-05,Risk of Violence,7,Medium,2013-01-05,2013-01-04,2013-02-06,1,32,1182,0,0,0 +6362,grace alvarado,grace,alvarado,2013-09-20,Female,1986-06-22,29,25 - 45,Hispanic,0,4,0,0,0,-1,2013-09-19 01:59:44,2013-09-20 07:48:00,13013217CF10A,2013-09-19,,1,F,Aggrav Battery w/Deadly Weapon,1,14002358TC30A,(M2),,2013-12-18,Unlaw LicTag/Sticker Attach,,,,1,15012789CF10A,(F2),2015-10-03,Agg Battery Grt/Bod/Harm,Risk of Recidivism,4,Low,2013-09-20,Risk of Violence,2,Low,2013-09-20,2015-10-03,2015-10-13,0,0,89,1,1,1 +6369,jason gomez,jason,gomez,2013-12-05,Male,1979-10-03,36,25 - 45,Caucasian,0,5,0,0,2,,,,09012616CF10B,,2010-08-04,1219,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-05,Risk of Violence,3,Low,2013-12-05,,,2,0,848,0,0,0 +6372,napoleon wilson,napoleon,wilson,2014-10-28,Male,1989-08-31,26,25 - 45,African-American,0,6,0,0,4,0,2014-10-28 01:38:25,2014-12-12 08:07:45,14014474CF10A,2014-10-27,,1,F,Burglary Dwelling Occupied,1,15007307CF10A,(M1),0,2015-06-04,Resist/Obstruct W/O Violence,2015-06-04,2015-06-20,,1,15007307CF10A,(F1),2015-06-04,Aggrav Child Abuse-Agg Battery,Risk of Recidivism,6,Medium,2014-10-28,Risk of Violence,3,Low,2014-10-28,2015-06-04,2015-06-20,4,45,219,1,1,1 +6376,courtney brown,courtney,brown,2013-09-20,Male,1955-07-06,60,Greater than 45,African-American,0,1,0,0,2,0,2013-09-20 12:40:56,2013-09-21 04:29:15,13013224CF10A,2013-09-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-09-20,2013-09-21,2,1,924,0,0,0 +6379,daniel harris,daniel,harris,2013-01-15,Male,1994-04-14,22,Less than 25,Caucasian,0,6,0,1,1,-1,2013-01-14 04:29:03,2013-01-15 01:53:43,13000646CF10A,2013-01-14,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-15,Risk of Violence,7,Medium,2013-01-15,2013-04-07,2013-04-11,1,0,82,0,0,0 +6380,dantae sylvain,dantae,sylvain,2013-08-09,Male,1987-06-16,28,25 - 45,African-American,0,7,0,0,3,0,2013-08-09 03:57:00,2013-08-09 08:19:19,13011208CF10A,,2013-08-09,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-09,Risk of Violence,8,High,2013-08-09,2013-08-09,2013-08-09,3,0,966,0,0,0 +6382,eric shaw,eric,shaw,2013-01-16,Male,1987-12-14,28,25 - 45,African-American,0,2,0,0,2,-1,2013-01-15 07:30:10,2013-05-20 09:16:44,12011014CF10A,,2013-01-15,1,F,arrest case no charge,1,15012141MM10A,(M1),0,2015-11-20,Resist/Obstruct W/O Violence,2015-11-20,2015-11-20,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,3,Low,2013-01-16,2013-07-05,2013-07-10,2,124,170,0,0,0 +6383,william walker,william,walker,2013-12-23,Male,1960-05-10,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-22 12:42:17,2013-12-22 01:00:00,13023553MM10A,2013-12-21,,2,M,Battery,1,14009604CF10A,(F3),0,2014-07-14,Felony Battery (Dom Strang),2014-07-14,2014-07-17,,1,14009604CF10A,(F3),2014-07-14,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2014-07-14,2014-07-17,0,0,203,1,1,1 +6386,michael mora,michael,mora,2013-03-04,Male,1988-01-22,28,25 - 45,Hispanic,0,3,0,0,2,-1,2013-03-03 10:29:13,2013-03-05 09:58:12,13003218CF10A,2013-03-03,,1,F,Kidnapping / Domestic Violence,1,14049511TC30A,(M2),,2014-05-24,Driving License Suspended,,,,1,15004727MM10A,(M1),2015-04-25,Battery,Risk of Recidivism,3,Low,2013-03-04,Risk of Violence,2,Low,2013-03-04,2013-03-03,2013-03-05,2,1,446,1,1,1 +6387,kimberly santiago,kimberly,santiago,2014-02-11,Female,1994-02-11,22,Less than 25,Hispanic,0,2,0,0,0,-1,2014-02-10 10:29:08,2014-02-11 01:22:50,14002284MM10A,2014-02-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-11,Risk of Violence,4,Low,2014-02-11,2014-02-10,2014-02-11,0,0,780,0,0,0 +6390,jean prince,jean,prince,2013-08-15,Male,1970-12-02,45,Greater than 45,African-American,0,1,0,0,5,230,2014-04-02 04:38:03,2014-04-03 09:26:00,14012353CF10A,2012-12-25,,233,F,Felony/Driving Under Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2014-04-02,2014-04-03,5,0,230,0,0,0 +6393,markell hill,markell,hill,2014-05-18,Male,1991-05-03,24,Less than 25,African-American,0,6,0,0,1,-1,2014-05-17 11:21:14,2014-05-19 03:52:52,14008029MM10A,2014-05-17,,1,M,Battery,1,15009770CF10A,(F3),6,2015-07-23,Robbery Sudd Snatch No Weapon,2015-07-29,2015-11-20,,1,15009770CF10A,(F3),2015-07-23,Robbery Sudd Snatch No Weapon,Risk of Recidivism,6,Medium,2014-05-18,Risk of Violence,6,Medium,2014-05-18,2014-05-17,2014-05-19,1,1,431,1,1,1 +6394,gary payne,gary,payne,2013-01-22,Male,1968-07-26,47,Greater than 45,African-American,0,2,0,0,1,-1,2013-01-21 05:34:28,2013-03-12 01:00:34,97011469CF10A,,2013-01-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-22,Risk of Violence,3,Low,2013-01-22,2013-01-21,2013-03-12,1,49,1165,0,0,0 +6395,victorino perrone,victorino,perrone,2013-08-27,Male,1959-03-13,57,Greater than 45,Caucasian,0,1,0,0,1,,,,09000226MM10A,2009-01-03,,1697,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,,,1,0,948,0,0,0 +6396,bobby cook,bobby,cook,2013-03-15,Male,1961-08-29,54,Greater than 45,Caucasian,0,1,0,0,6,0,2013-03-15 01:04:54,2013-03-16 01:02:43,13003830CF10A,2013-03-15,,0,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2013-03-15,2013-03-16,6,1,1113,0,0,0 +6398,claudia campos,claudia,campos,2013-03-28,Female,1973-12-03,42,25 - 45,Caucasian,0,2,0,0,0,-1,2013-03-27 02:21:15,2013-03-28 07:29:08,13005983MM10A,2013-03-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-03-28,0,0,1100,0,0,0 +6399,joshua visbal,joshua,visbal,2013-03-22,Male,1980-12-08,35,25 - 45,Caucasian,0,3,0,0,5,-20,2013-03-02 11:26:56,2013-03-03 09:01:52,13003157CF10A,2013-03-02,,20,F,Cruelty to Animals,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-22,Risk of Violence,2,Low,2013-03-22,2013-03-02,2013-03-03,5,0,1106,0,0,0 +6401,peter liberatore,peter,liberatore,2013-02-13,Male,1962-06-09,53,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-02-12 11:20:43,2013-02-13 07:54:55,13002178CF10A,2013-02-12,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-02-12,2013-02-13,1,0,1143,0,0,0 +6402,patricia garcon,patricia,garcon,2014-02-28,Female,1985-03-02,31,25 - 45,African-American,0,3,0,0,2,-1,2014-02-27 05:08:53,2014-03-01 05:09:38,14003432MM10A,2014-02-27,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-28,Risk of Violence,2,Low,2014-02-28,2014-02-27,2014-03-01,2,1,763,0,0,0 +6405,gael oriorden,gael,oriorden,2013-08-08,Male,1932-09-24,83,Greater than 45,Caucasian,0,1,0,0,4,,,,05006279CF10A,,2009-09-15,1423,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,,,4,0,967,0,0,0 +6406,raul pina,raul,pina,2013-08-27,Male,1969-04-21,46,Greater than 45,Hispanic,0,6,0,0,15,,,,13012473CF10A,2013-04-30,,119,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-27,Risk of Violence,7,Medium,2013-08-27,2009-07-30,2010-04-05,15,0,948,0,0,0 +6412,javaughn kerr,javaughn,kerr,2013-08-15,Male,1993-03-21,23,Less than 25,Other,0,10,0,0,4,-1,2013-08-14 05:29:49,2013-08-16 10:55:19,13011433CF10A,2013-08-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-15,Risk of Violence,10,High,2013-08-15,2013-08-14,2013-08-16,4,1,960,0,0,0 +6413,deonta harvard,deonta,harvard,2013-08-06,Male,1969-03-18,47,Greater than 45,African-American,0,4,0,0,9,-1,2013-08-05 06:18:35,2013-10-09 05:46:08,13013581CF10A,2013-08-05,,1,F,Felony Battery w/Prior Convict,1,15016053CF10A,(F3),0,2015-12-15,Possession Of Clonazepam,2015-12-15,2015-12-16,,0,,,,,Risk of Recidivism,4,Low,2013-08-06,Risk of Violence,2,Low,2013-08-06,2015-12-15,2015-12-16,9,64,861,1,0,0 +6414,jose monserrate,jose,monserrate,2013-02-17,Male,1984-05-31,31,25 - 45,Hispanic,0,6,0,0,4,,,,13002382CF10A,2013-02-16,,1,F,Agg Fleeing and Eluding,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-17,Risk of Violence,2,Low,2013-02-17,2015-11-12,2020-01-01,4,0,998,0,0,0 +6415,tracy parker,tracy,parker,2013-09-17,Male,1965-11-07,50,Greater than 45,African-American,0,8,0,0,0,,,,,,,,M,,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-17,Risk of Violence,5,Medium,2013-09-17,2013-09-16,2013-10-10,0,23,927,0,0,0 +6422,lateria green,lateria,green,2013-10-15,Female,1993-12-02,22,Less than 25,African-American,0,9,1,0,2,-1,2013-10-14 09:45:50,2013-10-17 09:23:49,13014368CF10A,2013-10-14,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-15,Risk of Violence,8,High,2013-10-15,2013-10-14,2013-10-17,2,2,899,0,0,0 +6424,jorge sinisterra,jorge,sinisterra,2013-02-08,Male,1971-04-04,45,Greater than 45,Hispanic,0,1,0,0,1,-22,2013-01-17 06:04:20,2013-01-17 06:56:34,13001205MM10A,2013-01-17,,22,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-08,Risk of Violence,1,Low,2013-02-08,2013-01-17,2013-01-17,1,0,1148,0,0,0 +6425,sharhonda campbell,sharhonda,campbell,2014-01-22,Female,1986-01-30,30,25 - 45,African-American,0,2,0,0,2,-1,2014-01-21 11:10:03,2014-01-22 09:10:18,14000868CF10A,2014-01-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-22,Risk of Violence,2,Low,2014-01-22,2014-01-21,2014-01-22,2,0,800,0,0,0 +6427,tavares williams,tavares,williams,2013-11-14,Male,1980-01-04,36,25 - 45,African-American,0,2,0,0,4,,,,06093744TC20A,2006-10-14,,2588,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-14,Risk of Violence,3,Low,2013-11-14,,,4,0,869,0,0,0 +6430,lefort eugene,lefort,eugene,2013-04-22,Male,1966-03-07,50,Greater than 45,African-American,0,1,0,0,0,0,2013-04-22 01:45:49,2013-04-22 06:41:19,13007798MM10A,2013-04-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-22,2013-04-22,0,0,1075,0,0,0 +6431,janelle levybuissereth,janelle,levybuissereth,2014-07-09,Female,1991-11-28,24,Less than 25,Other,0,4,0,0,2,-1,2014-07-08 03:40:37,2014-07-09 07:31:40,14009362CF10A,2014-07-08,,1,F,Possession Of Methamphetamine,1,14013717CF10A,(F2),0,2014-10-11,Aggravated Battery,2014-10-11,2014-11-13,,1,14013717CF10A,(F2),2014-10-11,Aggravated Battery,Risk of Recidivism,4,Low,2014-07-09,Risk of Violence,3,Low,2014-07-09,2014-10-11,2014-11-13,2,0,94,1,1,1 +6432,shaneen avramides,shaneen,avramides,2013-02-11,Female,1973-04-20,42,25 - 45,Caucasian,0,5,0,0,3,-3,2013-02-08 09:19:36,2013-02-09 01:26:38,13001984CF10A,2013-02-08,,3,F,False Ownership Info/Pawn Item,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-11,Risk of Violence,1,Low,2013-02-11,2014-09-08,2014-09-16,3,0,574,0,0,0 +6434,valerie alberto,valerie,alberto,2013-07-08,Female,1987-12-30,28,25 - 45,Hispanic,0,3,0,0,2,,,,11019061CF10A,2011-11-19,,597,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-08,Risk of Violence,3,Low,2013-07-08,,,2,0,998,0,0,0 +6436,prem alvarez,prem,alvarez,2013-03-24,Male,1985-04-10,31,25 - 45,Hispanic,0,1,0,0,0,0,2013-03-24 07:11:37,2013-03-25 08:17:18,13005765MM10A,2013-03-24,,0,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-24,Risk of Violence,1,Low,2013-03-24,2013-03-24,2013-03-25,0,1,1104,0,0,0 +6439,brion daniels,brion,daniels,2014-09-28,Male,1991-02-13,25,25 - 45,African-American,0,9,0,0,5,-1,2014-09-27 04:41:31,2014-11-20 10:01:09,14013078CF10A,,2014-09-27,1,F,arrest case no charge,1,14017393MM10A,(M1),0,2014-12-10,Battery,2014-12-10,2015-01-22,,1,14017393MM10A,(M1),2014-12-10,Battery,Risk of Recidivism,9,High,2014-09-28,Risk of Violence,6,Medium,2014-09-28,2014-12-10,2015-01-22,5,53,73,1,1,1 +6441,renard kitchen,renard,kitchen,2013-05-12,Male,1979-07-29,36,25 - 45,African-American,0,5,0,0,4,0,2013-05-12 01:05:46,2013-05-13 03:22:20,13006791CF10A,2013-05-11,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-12,Risk of Violence,3,Low,2013-05-12,2013-11-12,2014-01-07,4,1,184,0,0,0 +6443,trevor cox,trevor,cox,2013-04-14,Male,1987-12-30,28,25 - 45,Caucasian,0,5,0,0,5,0,2013-04-14 03:00:32,2013-04-14 07:15:58,13005377CF10A,2013-04-14,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-14,Risk of Violence,4,Low,2013-04-14,2013-04-14,2013-04-14,5,0,1083,0,0,0 +6446,joseph letohic,joseph,letohic,2014-11-22,Male,1984-07-11,31,25 - 45,Caucasian,0,1,0,0,0,-1,2014-11-21 08:37:59,2014-11-22 08:22:21,14016652MM10A,2014-11-21,,1,M,Battery,1,15010812MM10A,(M1),1,2015-10-14,Battery,2015-10-15,2015-10-16,,1,15010812MM10A,(M1),2015-10-14,Battery,Risk of Recidivism,1,Low,2014-11-22,Risk of Violence,1,Low,2014-11-22,2015-10-15,2015-10-16,0,0,326,1,1,1 +6447,jodelyn orne,jodelyn,orne,2013-02-09,Male,1992-09-13,23,Less than 25,African-American,0,4,0,0,0,-1,2013-02-08 06:33:18,2013-02-11 08:47:47,13001976CF10A,2013-02-08,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2014-08-28,2015-04-28,0,2,565,0,0,0 +6448,emigdio rodriguez,emigdio,rodriguez,2013-04-12,Male,1987-02-10,29,25 - 45,Caucasian,0,6,0,0,4,-1,2013-04-11 11:52:52,2013-04-18 11:54:40,13007014MM10A,2013-04-11,,1,M,Viol Injunct Domestic Violence,1,13009787MM10A,(M2),0,2013-05-21,Prowling/Loitering,2013-05-21,2013-05-21,,1,14018152MM10A,(M1),2014-12-29,Battery,Risk of Recidivism,6,Medium,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-05-21,2013-05-21,4,6,39,0,1,1 +6450,rashid labonte,rashid,labonte,2013-01-10,Male,1982-03-23,34,25 - 45,African-American,0,5,0,0,1,-1,2013-01-09 01:08:47,2013-01-10 05:09:51,13000388CF10A,2013-01-09,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-10,Risk of Violence,3,Low,2013-01-10,2013-01-09,2013-01-10,1,0,1177,0,0,0 +6458,magalys aulet,magalys,aulet,2013-04-07,Female,1979-12-25,36,25 - 45,Hispanic,0,2,0,0,0,0,2013-04-07 02:43:54,2013-04-07 06:10:19,13005023CF10A,2013-04-06,,1,M,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2013-04-07,2013-04-07,0,0,1090,0,0,0 +6462,keyon bolden,keyon,bolden,2013-12-12,Male,1992-04-21,23,Less than 25,African-American,0,8,0,2,3,-1,2013-12-11 08:58:31,2013-12-12 08:41:19,13017196CF10A,2013-12-11,,1,F,Grand Theft (Motor Vehicle),1,14026033TC20A,(M2),57,2014-04-05,Driving License Suspended,2014-06-01,2014-06-01,,1,14011407CF10A,(F2),2014-07-30,Throw Deadly Missile Into Veh,Risk of Recidivism,8,High,2013-12-12,Risk of Violence,8,High,2013-12-12,2015-01-18,2015-03-27,3,0,114,1,1,1 +6463,lenaris pope,lenaris,pope,2013-05-25,Male,1984-12-07,31,25 - 45,African-American,0,8,0,0,15,0,2013-05-25 12:00:10,2013-05-25 07:36:34,13007447CF10A,2013-05-24,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-25,Risk of Violence,3,Low,2013-05-25,2014-06-24,2014-08-19,15,0,395,0,0,0 +6466,tyrone palacios,tyrone,palacios,2013-11-18,Male,1963-04-07,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-18 04:04:43,2013-11-18 02:15:16,13021683MM10A,2013-11-18,,0,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-11-18,2013-11-18,0,0,865,0,0,0 +6467,christopher hampton,christopher,hampton,2014-02-06,Male,1982-03-20,34,25 - 45,African-American,0,7,0,0,12,0,2014-02-06 12:40:18,2014-03-13 05:43:50,14001658CF10A,2014-02-05,,1,F,Unauth C/P/S Sounds>1000/Audio,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-06,Risk of Violence,5,Medium,2014-02-06,2014-02-06,2014-03-13,12,35,785,0,0,0 +6468,marlene russell,marlene,russell,2013-11-08,Female,1953-04-11,63,Greater than 45,African-American,0,1,0,0,1,0,2013-11-08 03:13:23,2013-11-08 09:33:45,13015594CF10A,2013-11-07,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2013-11-08,2013-11-08,1,0,875,0,0,0 +6470,rakeem baptiste,rakeem,baptiste,2014-10-04,Female,1995-03-26,21,Less than 25,African-American,0,7,0,0,0,0,2014-10-04 05:09:06,2014-10-04 07:38:51,14013392CF10A,2014-10-04,,0,F,Possession Of Alprazolam,1,14014149CF10A,(F2),0,2014-10-20,Aggrav Battery w/Deadly Weapon,2014-10-20,2014-11-18,,1,14014149CF10A,(F2),2014-10-20,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,7,Medium,2014-10-04,Risk of Violence,6,Medium,2014-10-04,2014-10-20,2014-11-18,0,0,16,1,1,1 +6475,yves stlouis,yves,stlouis,2013-05-29,Male,1972-11-20,43,25 - 45,African-American,0,1,0,0,1,,,,09019388MM10A,2009-08-13,,1385,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,,,1,0,1038,0,0,0 +6477,brian piggott,brian,piggott,2014-11-13,Male,1958-01-18,58,Greater than 45,Caucasian,0,5,0,0,4,0,2014-11-13 11:35:04,2014-11-14 09:12:36,14015270CF10A,2014-11-13,,0,F,Felony Petit Theft,1,15000894MM10A,(M1),0,2015-01-23,Resist/Obstruct W/O Violence,2015-01-23,2015-03-12,,1,15001923MM10A,(M1),2015-02-12,Battery,Risk of Recidivism,5,Medium,2014-11-13,Risk of Violence,3,Low,2014-11-13,2015-01-23,2015-03-12,4,1,71,1,1,1 +6481,bria harcum,bria,harcum,2013-01-31,Female,1992-06-19,23,Less than 25,African-American,0,4,0,0,0,-1,2013-01-30 10:25:05,2013-02-01 02:10:14,13002159MM10A,2013-01-30,,1,M,Battery,1,15006087MM10A,(M1),1,2015-06-02,Possess Cannabis/20 Grams Or Less,2015-06-03,2015-06-03,,1,15008017MM10A,(M1),2015-07-28,Battery,Risk of Recidivism,4,Low,2013-01-31,Risk of Violence,4,Low,2013-01-31,2014-07-07,2014-07-22,0,1,522,0,0,0 +6483,laird mcmahon,laird,mcmahon,2013-07-09,Male,1959-11-06,56,Greater than 45,Caucasian,0,2,0,0,13,-13,2013-06-26 10:01:48,2013-07-03 08:32:05,12000792CF10A,,2013-06-26,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-09,Risk of Violence,1,Low,2013-07-09,2013-06-26,2013-07-03,13,0,997,0,0,0 +6484,linda mashaw,linda,mashaw,2013-12-11,Female,1963-06-02,52,Greater than 45,Caucasian,0,1,0,0,0,-6,2013-12-05 11:56:49,2013-12-06 02:06:17,13016847CF10A,2013-12-05,,6,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2013-12-05,2013-12-06,0,0,842,0,0,0 +6485,tyrone dalton,tyrone,dalton,2013-03-27,Male,1959-07-30,56,Greater than 45,African-American,0,2,0,0,0,-1,2013-03-26 11:29:32,2013-04-02 10:35:48,13004366CF10A,2013-03-26,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-27,Risk of Violence,1,Low,2013-03-27,2013-03-26,2013-04-02,0,6,1101,0,0,0 +6487,lloy phillips,lloy,phillips,2014-02-13,Female,1978-07-11,37,25 - 45,African-American,0,1,0,0,0,-1,2014-02-12 08:58:01,2014-02-13 12:55:43,14002470MM10A,2014-02-12,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2014-02-12,2014-02-13,0,0,778,0,0,0 +6488,michelle rubin-furtado,michelle,rubin-furtado,2013-09-30,Female,1965-09-22,50,Greater than 45,Caucasian,0,1,0,0,0,0,2013-09-30 12:58:02,2013-10-02 07:23:30,13018508MM10A,2013-09-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-30,2013-10-02,0,2,914,0,0,0 +6490,reginald harris,reginald,harris,2013-03-12,Male,1993-08-20,22,Less than 25,African-American,0,5,0,0,0,-1,2013-03-11 10:30:13,2013-03-12 01:07:23,13003588CF10A,2013-03-11,,1,F,Possession of Cocaine,1,13021752MM10A,(M2),1,2013-11-18,Assault,2013-11-19,2013-11-26,,1,13021752MM10A,(M2),2013-11-18,Assault,Risk of Recidivism,5,Medium,2013-03-12,Risk of Violence,5,Medium,2013-03-12,2014-02-13,2014-09-11,0,0,251,1,1,1 +6491,maria cecil,maria,cecil,2013-08-02,Female,1972-06-13,43,25 - 45,Caucasian,0,1,0,0,0,0,2013-08-02 01:25:54,2013-08-02 07:52:49,13014710MM10A,2013-08-02,,0,M,Battery,1,14017228MM10A,(M1),0,2014-12-08,Battery,2014-12-08,2014-12-08,,1,14017228MM10A,(M1),2014-12-08,Battery,Risk of Recidivism,1,Low,2013-08-02,Risk of Violence,1,Low,2013-08-02,2014-12-08,2014-12-08,0,0,493,0,1,1 +6492,michael bleier,michael,bleier,2013-01-12,Male,1985-10-18,30,25 - 45,Caucasian,0,2,0,0,1,-1,2013-01-11 03:35:40,2013-02-15 09:20:24,13000691MM10A,2013-01-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-12,Risk of Violence,2,Low,2013-01-12,2013-01-11,2013-02-15,1,34,1175,0,0,0 +6495,darren ip,darren,ip,2013-02-25,Male,1986-10-21,29,25 - 45,Asian,0,1,0,0,0,-1,2013-02-24 04:36:56,2013-02-25 01:34:48,13002837CF10A,2013-02-24,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,2,Low,2013-02-25,2013-02-24,2013-02-25,0,0,1131,0,0,0 +6496,isaac cabrera,isaac,cabrera,2013-03-31,Male,1991-12-04,24,Less than 25,Caucasian,0,2,0,0,0,-1,2013-03-30 09:22:07,2013-03-31 02:54:13,13004598CF10A,2013-03-30,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-31,Risk of Violence,3,Low,2013-03-31,2013-03-30,2013-03-31,0,0,1097,0,0,0 +6497,markei smith,markei,smith,2013-09-08,Male,1986-11-05,29,25 - 45,African-American,0,8,0,0,7,-1,2013-09-07 09:27:43,2013-09-08 06:44:09,13017071MM10A,2013-09-07,,1,M,Battery,1,14003492CF10A,(M1),0,2014-03-12,Unlaw Malic Strike K9/Horses,2014-03-12,2014-04-17,,1,14003492CF10A,(F2),2014-03-12,Agg Battery Grt/Bod/Harm,Risk of Recidivism,8,High,2013-09-08,Risk of Violence,3,Low,2013-09-08,2014-03-12,2014-04-17,7,0,185,1,1,1 +6498,andrea norris,andrea,norris,2013-01-15,Female,1989-03-31,27,25 - 45,Caucasian,0,3,0,0,3,,,,12018748CF10A,2012-12-27,,19,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-15,Risk of Violence,3,Low,2013-01-15,,,3,0,1172,0,0,0 +6500,amanda mion,amanda,mion,2013-10-02,Female,1991-10-30,24,Less than 25,Caucasian,0,4,0,0,0,-2,2013-09-30 07:53:28,2013-10-01 02:11:36,13013724CF10A,2013-09-30,,2,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-02,Risk of Violence,5,Medium,2013-10-02,2013-09-30,2013-10-01,0,0,912,0,0,0 +6501,merdis johnson,merdis,johnson,2013-11-07,Female,1941-06-08,74,Greater than 45,African-American,0,1,0,0,0,-1,2013-11-06 11:55:36,2013-11-07 02:32:47,13015489CF10A,2013-11-06,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-07,Risk of Violence,1,Low,2013-11-07,2013-11-06,2013-11-07,0,0,876,0,0,0 +6502,nathan mosley,nathan,mosley,2013-08-30,Male,1988-06-19,27,25 - 45,African-American,0,7,0,1,8,0,2013-08-30 12:08:49,2013-08-31 04:11:35,13006881MM10A,,2013-08-29,1,M,arrest case no charge,1,14002197CF10A,(F3),0,2014-02-16,Drivg While Lic Suspd/Revk/Can,2014-02-16,2014-02-18,,1,15004206MM10A,(M1),2015-04-12,Battery,Risk of Recidivism,7,Medium,2013-08-30,Risk of Violence,5,Medium,2013-08-30,2014-02-16,2014-02-18,8,1,170,1,1,1 +6505,sean gayle,sean,gayle,2013-10-26,Male,1987-04-14,29,25 - 45,Caucasian,0,2,0,0,5,0,2013-10-26 02:22:33,2013-10-26 08:52:16,13014983CF10A,2013-10-26,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-26,Risk of Violence,3,Low,2013-10-26,2013-10-26,2013-10-26,5,0,888,0,0,0 +6508,latara doe,latara,doe,2013-11-20,Female,1981-02-15,35,25 - 45,African-American,0,3,0,0,5,-1,2013-11-19 12:43:57,2013-11-20 09:48:47,13016050CF10A,2013-11-19,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-20,Risk of Violence,3,Low,2013-11-20,2013-11-19,2013-11-20,5,0,863,0,0,0 +6512,sean barnes,sean,barnes,2013-12-06,Male,1979-08-19,36,25 - 45,Caucasian,0,2,0,0,1,-1,2013-12-05 08:09:58,2013-12-06 09:55:53,13017002CF10A,,2013-12-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2013-12-05,2013-12-06,1,0,847,0,0,0 +6514,denim thomas,denim,thomas,2013-01-10,Male,1989-08-15,26,25 - 45,Caucasian,0,4,0,0,2,0,2013-01-10 12:22:27,2013-01-12 02:52:10,13000386CF10A,2013-01-09,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-10,Risk of Violence,7,Medium,2013-01-10,2015-05-01,2015-05-28,2,2,841,0,0,0 +6518,dave walker,dave,walker,2013-01-06,Male,1988-01-09,28,25 - 45,African-American,0,5,0,0,1,,,,09018697MM10A,2009-08-07,,1248,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-06,Risk of Violence,5,Medium,2013-01-06,,,1,0,1181,0,0,0 +6520,miesha jones,miesha,jones,2014-01-22,Female,1989-08-04,26,25 - 45,African-American,0,5,0,0,1,-1,2014-01-21 05:58:42,2014-01-22 09:20:42,14000884CF10A,,2014-01-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-22,Risk of Violence,4,Low,2014-01-22,2014-01-21,2014-01-22,1,0,800,0,0,0 +6524,jordan rodriguez,jordan,rodriguez,2013-04-25,Male,1987-12-01,28,25 - 45,Caucasian,0,3,0,0,0,-1,2013-04-24 06:15:34,2013-04-26 04:51:42,13005908CF10A,2013-04-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-25,Risk of Violence,2,Low,2013-04-25,2014-01-22,2014-01-29,0,1,272,0,0,0 +6525,martin chauncey,martin,chauncey,2013-03-11,Male,1964-06-20,51,Greater than 45,Caucasian,0,1,0,0,1,-2,2013-03-09 10:28:41,2013-03-10 01:03:52,13003507CF10A,2013-03-09,,2,F,Possession Of Alprazolam,1,13048905TC10A,(M2),,2013-11-23,Ped Obstruct Traf/No Permit Sol,,,,1,15004302CF10A,(F3),2015-04-01,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-05-28,2013-07-05,1,0,78,0,1,1 +6526,iliana fernandez,iliana,fernandez,2014-01-21,Female,1980-06-23,35,25 - 45,Hispanic,0,2,0,0,0,-1,2014-01-20 09:04:36,2014-01-21 09:57:17,14000989MM10A,2014-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-01-20,2014-01-21,0,0,801,0,0,0 +6527,vanessa malcolm,vanessa,malcolm,2014-03-02,Female,1992-05-24,23,Less than 25,African-American,0,2,0,0,0,-1,2014-03-01 02:14:47,2014-03-02 08:12:14,14003540MM10A,2014-03-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-02,Risk of Violence,3,Low,2014-03-02,2014-03-01,2014-03-02,0,0,761,0,0,0 +6533,jessica cajete,jessica,cajete,2013-09-23,Female,1992-08-11,23,Less than 25,Hispanic,0,4,1,0,2,-1,2013-09-22 01:21:07,2013-09-23 09:39:36,13018067MM10A,2013-09-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,6,Medium,2013-09-23,2013-09-22,2013-09-23,2,0,921,0,0,0 +6534,shimeko johnson,shimeko,johnson,2013-09-20,Female,1983-02-01,33,25 - 45,African-American,0,7,0,0,5,-1,2013-09-19 10:53:46,2014-03-25 03:47:18,13013220CF10A,2013-09-19,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-20,Risk of Violence,5,Medium,2013-09-20,2016-03-24,2020-01-01,5,186,916,0,0,0 +6536,karl smith,karl,smith,2013-05-15,Male,1956-11-12,59,Greater than 45,Caucasian,0,1,0,0,3,-3,2013-05-12 05:17:01,2013-05-14 07:57:33,13009151MM10A,2013-05-11,,4,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-15,Risk of Violence,1,Low,2013-05-15,2013-05-12,2013-05-14,3,0,1052,0,0,0 +6537,alejandro cabrera,alejandro,cabrera,2013-09-23,Male,1990-03-30,26,25 - 45,Caucasian,0,4,0,0,4,0,2013-09-23 12:36:24,2013-09-26 08:28:31,13013392CF10A,2013-09-23,,0,F,Tamper With Witness/Victim/CI,1,13014027CF10A,(M1),0,2013-10-06,Viol Pretrial Release Dom Viol,2013-10-06,2013-12-17,,1,13014027CF10A,(M1),2013-10-06,Battery,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-10-06,2013-12-17,4,3,13,1,1,1 +6538,rosario pennachio,rosario,pennachio,2013-03-20,Male,1979-09-30,36,25 - 45,Caucasian,0,1,0,0,0,,,,,,,,M,,1,16000097MM10A,(M2),,2015-12-07,Trespass Struct/Conveyance,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-02-16,2013-03-19,0,0,992,1,0,0 +6539,pathelin felix,pathelin,felix,2014-03-27,Male,1977-09-02,38,25 - 45,Other,0,1,0,0,2,-1,2014-03-26 05:07:09,2014-03-27 01:44:46,14004307CF10A,2014-03-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-27,Risk of Violence,1,Low,2014-03-27,2014-03-26,2014-03-27,2,0,736,0,0,0 +6546,michael miranda,michael,miranda,2013-11-25,Male,1987-11-11,28,25 - 45,Hispanic,0,8,0,0,2,-1,2013-11-24 03:03:07,2013-11-27 08:15:41,13016343CF10A,2013-11-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-25,Risk of Violence,6,Medium,2013-11-25,2013-11-24,2013-11-27,2,2,858,0,0,0 +6551,max connolly,max,connolly,2013-12-24,Male,1976-03-04,40,25 - 45,Caucasian,0,4,0,0,1,-1,2013-12-23 09:56:19,2013-12-25 01:50:51,13023696MM10A,2013-12-23,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-24,Risk of Violence,3,Low,2013-12-24,2013-12-23,2013-12-25,1,1,829,0,0,0 +6553,joshua rinchere,joshua,rinchere,2013-01-03,Male,1991-11-21,24,Less than 25,African-American,0,6,1,2,2,561,2014-07-18 05:54:57,2014-07-18 12:53:51,12017517MM10A,2011-12-06,,394,M,Cause Anoth Phone Ring Repeat,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-03,Risk of Violence,7,Medium,2013-01-03,2014-07-18,2014-07-18,2,0,561,0,0,0 +6554,amber howell,amber,howell,2013-12-21,Female,1990-01-02,26,25 - 45,African-American,0,4,0,0,0,-1,2013-12-20 03:42:01,2013-12-21 01:56:09,13017566CF10A,2013-12-20,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-21,Risk of Violence,4,Low,2013-12-21,2015-09-10,2015-09-10,0,0,628,0,0,0 +6557,cleveland daniels,cleveland,daniels,2013-08-15,Male,1956-07-16,59,Greater than 45,African-American,0,6,0,0,5,,,,09001028TC10A,2008-09-28,,1782,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-15,Risk of Violence,4,Low,2013-08-15,1997-07-17,2000-10-11,5,0,960,0,0,0 +6560,annette jackson,annette,jackson,2013-12-02,Female,1961-08-13,54,Greater than 45,African-American,0,4,0,0,6,-1,2013-12-01 02:04:46,2013-12-02 09:23:47,13016643CF10A,2013-12-01,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,6,0,851,0,0,0 +6563,brian esporrin,brian,esporrin,2014-01-27,Male,1984-09-29,31,25 - 45,Caucasian,0,7,0,0,4,-1,2014-01-26 09:54:39,2014-02-22 05:13:12,14001451MM10A,2014-01-26,,1,M,Battery,1,14003079MM20A,(M2),,2014-10-17,Driving License Suspended,,,,1,16002416MM10A,(M1),2016-03-01,Battery,Risk of Recidivism,7,Medium,2014-01-27,Risk of Violence,7,Medium,2014-01-27,2014-01-26,2014-02-22,4,26,263,1,1,1 +6564,gilberto padua,gilberto,padua,2013-05-22,Male,1982-01-15,34,25 - 45,Caucasian,0,3,0,0,0,-1,2013-05-21 11:08:14,2013-05-22 07:36:48,13007242CF10A,2013-05-21,,1,F,Grand Theft in the 3rd Degree,1,15012253MM10A,(M1),,2015-11-01,Battery,,,,1,15012253MM10A,(M1),2015-11-01,Battery,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,2,Low,2013-05-22,2015-07-02,2015-07-09,0,0,771,0,0,0 +6570,michael andrews,michael,andrews,2013-03-08,Male,1969-02-01,47,Greater than 45,Caucasian,0,4,0,0,2,-7,2013-03-01 05:20:32,2013-03-07 08:32:27,13003102CF10A,2013-03-01,,7,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-08,Risk of Violence,1,Low,2013-03-08,2013-09-13,2013-09-20,2,0,189,0,0,0 +6571,wyle myrick,wyle,myrick,2013-01-15,Male,1964-12-15,51,Greater than 45,African-American,0,8,0,1,12,-1,2013-01-14 09:08:43,2013-01-15 01:17:37,13000651CF10A,2013-01-14,,1,F,Felony Driving While Lic Suspd,1,14088029TC30A,(M2),,2014-10-17,Driving License Suspended,,,,1,15000544CF10A,(F3),2014-10-23,Felony Battery (Dom Strang),Risk of Recidivism,8,High,2013-01-15,Risk of Violence,3,Low,2013-01-15,2015-01-29,2015-03-04,12,0,640,1,1,1 +6572,matthew bohl,matthew,bohl,2013-09-11,Male,1990-06-27,25,25 - 45,Caucasian,0,3,0,0,1,-23,2013-08-19 12:20:34,2013-08-19 07:02:51,12015964CF10A,,2013-08-18,24,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-11,Risk of Violence,3,Low,2013-09-11,2013-08-19,2013-08-19,1,0,933,0,0,0 +6573,damian wright,damian,wright,2013-03-21,Male,1990-12-28,25,25 - 45,Other,0,2,0,0,0,-1,2013-03-20 03:26:30,2013-04-09 08:53:54,13004045CF10A,2013-03-20,,1,F,Felony Battery,1,13012915MM10A,(M1),0,2013-07-07,Battery,2013-07-07,2013-09-21,,1,13012915MM10A,(M1),2013-07-07,Battery,Risk of Recidivism,2,Low,2013-03-21,Risk of Violence,4,Low,2013-03-21,2013-07-07,2013-09-21,0,19,108,1,1,1 +6575,alberto espino,alberto,espino,2013-02-22,Male,1971-05-11,44,25 - 45,Hispanic,0,1,0,0,2,367,2014-02-24 11:33:39,2014-02-25 09:19:16,12017050CF10A,,2012-12-05,79,F,arrest case no charge,1,14003599CF10A,(F3),,2014-02-18,Child Abuse,,,,1,14003599CF10A,(F3),2014-02-18,Child Abuse,Risk of Recidivism,1,Low,2013-02-22,Risk of Violence,2,Low,2013-02-22,2014-02-24,2014-02-25,2,0,361,1,1,1 +6577,michael spetsieris,michael,spetsieris,2013-02-08,Male,1979-12-07,36,25 - 45,Caucasian,0,2,0,0,1,-1,2013-02-07 05:59:46,2013-02-08 02:14:56,13002149CF10A,,2013-02-07,1,F,arrest case no charge,1,15002345MM10A,(M1),0,2015-02-25,Child Neglect/Delinquency,2015-02-25,2015-04-28,,1,15002345MM10A,(M1),2015-02-25,Battery,Risk of Recidivism,2,Low,2013-02-08,Risk of Violence,3,Low,2013-02-08,2015-02-25,2015-04-28,1,0,747,1,0,0 +6578,jake jacob,jake,jacob,2013-03-06,Male,1938-05-15,77,Greater than 45,Caucasian,0,1,0,0,3,,,,07014679CF10A,,2008-06-02,1738,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,1,Low,2013-03-06,,,3,0,1122,0,0,0 +6580,brent jardine,brent,jardine,2013-03-18,Male,1966-10-28,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-18 12:03:32,2013-03-18 02:06:52,13005225MM10A,2013-03-17,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-18,2013-03-18,0,0,1110,0,0,0 +6583,thaddaus holmes,thaddaus,holmes,2013-04-05,Male,1984-12-24,31,25 - 45,African-American,0,7,0,0,0,-1,2013-04-04 10:04:39,2013-04-05 09:22:00,13004851CF10A,2013-04-04,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-05,Risk of Violence,4,Low,2013-04-05,2014-11-20,2015-03-20,0,0,594,0,0,0 +6584,daniel ganten,daniel,ganten,2014-03-11,Male,1986-03-30,30,25 - 45,Caucasian,0,3,0,1,1,-1,2014-03-10 03:11:33,2014-03-11 01:26:00,14003379CF10A,2014-03-10,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-11,Risk of Violence,3,Low,2014-03-11,2014-08-28,2014-08-29,1,0,170,0,0,0 +6587,bernard bellamy,bernard,bellamy,2013-10-15,Male,1994-11-10,21,Less than 25,African-American,0,9,1,0,1,-1,2013-10-14 05:20:14,2015-01-13 06:24:21,13014382CF10A,2013-10-14,,1,F,Att Burgl Unoccupied Dwel,1,14015162CF10A,(F3),160,2014-10-24,Battery Upon Detainee,2015-04-02,2015-04-16,,1,14015162CF10A,(F3),2014-10-24,Battery Upon Detainee,Risk of Recidivism,9,High,2013-10-15,Risk of Violence,8,High,2013-10-15,2013-10-14,2015-01-13,1,0,374,1,1,1 +6588,lawrence mincey,lawrence,mincey,2013-12-07,Male,1994-08-29,21,Less than 25,African-American,0,4,0,0,0,-1,2013-12-06 11:23:29,2013-12-07 01:44:43,13016905CF10A,2013-12-06,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-07,Risk of Violence,6,Medium,2013-12-07,2013-12-06,2013-12-07,0,0,846,0,0,0 +6591,flora emery,flora,emery,2014-02-24,Female,1951-02-20,65,Greater than 45,African-American,0,1,0,0,0,-1,2014-02-23 10:06:57,2014-02-24 09:55:50,14002554CF10A,2014-02-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-23,2014-02-24,0,0,767,0,0,0 +6592,marlene decarlos,marlene,decarlos,2014-02-06,Female,1956-08-17,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-02-05 04:46:13,2014-02-05 09:09:15,14004643MU10A,2014-02-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-02-05,2014-02-05,0,0,785,0,0,0 +6593,robert heagle,robert,heagle,2013-11-18,Male,1957-01-23,59,Greater than 45,African-American,0,1,0,0,0,-1,2013-11-17 10:33:58,2013-11-19 08:59:35,13021612MM10A,2013-11-17,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-11-17,2013-11-19,0,1,865,0,0,0 +6594,trevant taylor,trevant,taylor,2013-03-15,Male,1992-03-07,24,Less than 25,African-American,0,7,0,0,0,-1,2013-03-14 08:45:46,2013-03-17 08:58:08,13005088MM10A,2013-03-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-15,Risk of Violence,7,Medium,2013-03-15,2013-03-14,2013-03-17,0,2,1113,0,0,0 +6595,benjamin fanfan,benjamin,fanfan,2013-02-20,Male,1975-04-24,40,25 - 45,African-American,0,1,0,0,0,0,2013-02-20 06:23:55,2013-02-21 08:02:45,13002591CF10A,2013-02-19,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-20,2013-02-21,0,1,1136,0,0,0 +6597,charles harvey,charles,harvey,2013-03-18,Male,1981-04-28,34,25 - 45,African-American,1,9,0,0,10,-1,2013-03-17 08:10:17,2013-03-18 02:41:05,13003878CF10A,2013-03-17,,1,F,Possession Of Alprazolam,1,14005915CF10A,(F3),,2013-05-20,Grand Theft in the 3rd Degree,,,,1,13016846CF10A,(M1),2013-12-05,Battery,Risk of Recidivism,9,High,2013-03-18,Risk of Violence,4,Low,2013-03-18,2014-02-04,2014-06-10,10,0,63,1,1,1 +6601,herbert morris,herbert,morris,2014-02-24,Male,1964-01-01,52,Greater than 45,African-American,0,1,0,0,1,-1,2014-02-23 02:25:36,2014-02-24 01:35:35,14002552CF10A,2014-02-23,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-23,2014-02-24,1,0,767,0,0,0 +6603,moses martin,moses,martin,2014-08-07,Male,1991-05-09,24,Less than 25,African-American,0,9,0,0,15,-31,2014-07-07 11:37:13,2014-07-12 02:11:41,11004711CF10A,,2014-07-07,31,F,arrest case no charge,1,15015032CF10A,(F3),,2015-11-18,Battery Upon Detainee,,,,1,15015032CF10A,(F3),2015-11-18,Battery Upon Detainee,Risk of Recidivism,9,High,2014-08-07,Risk of Violence,9,High,2014-08-07,2014-09-12,2015-01-09,15,0,36,0,1,1 +6604,stacey lewis,stacey,lewis,2013-05-26,Male,1978-02-03,38,25 - 45,African-American,0,3,0,0,2,-1,2013-05-25 08:47:26,2013-05-28 01:16:45,13007501CF10A,2013-05-25,,1,F,Aggrav Battery w/Deadly Weapon,1,14002354MM40A,(M1),,2014-05-16,Possess Cannabis/20 Grams Or Less,,,,1,15012816CF10A,(F3),2015-10-03,Agg Assault W/int Com Fel Dome,Risk of Recidivism,3,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-28,2,2,355,1,1,1 +6605,whitney bennett,whitney,bennett,2013-07-23,Female,1993-06-16,22,Less than 25,African-American,0,8,0,0,0,-6,2013-07-17 11:09:16,2013-07-18 07:36:50,13010011CF10A,2013-07-17,,6,F,Poss of Methylethcathinone,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-07-23,Risk of Violence,8,High,2013-07-23,2014-01-17,2014-01-18,0,0,178,0,0,0 +6606,gerraro bell,gerraro,bell,2013-02-01,Male,1972-12-21,43,25 - 45,African-American,0,5,0,0,0,-1,2013-01-31 08:25:07,2013-02-03 08:56:37,13001554CF10A,2013-01-31,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-01-31,2013-02-03,0,2,1155,0,0,0 +6611,darryl stringer,darryl,stringer,2013-10-04,Male,1960-11-16,55,Greater than 45,African-American,0,1,0,0,0,-1,2013-10-03 06:04:09,2013-10-04 08:21:14,13013904CF10A,2013-10-03,,1,F,Failure To Return Hired Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,1,Low,2013-10-04,2014-01-15,2014-02-21,0,0,103,0,0,0 +6613,trenton bractley,trenton,bractley,2013-12-14,Male,1989-09-03,26,25 - 45,African-American,0,2,0,0,2,-1,2013-12-13 03:52:22,2013-12-22 01:52:00,13017254CF10A,2013-12-13,,1,F,Burglary Unoccupied Dwelling,1,16002864CF10A,(F3),,2016-03-06,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-14,Risk of Violence,3,Low,2013-12-14,2015-06-12,2015-06-23,2,8,545,0,0,0 +6614,juan villa,juan,villa,2013-11-22,Male,1993-01-08,23,Less than 25,Caucasian,0,2,0,1,1,-1,2013-11-21 07:44:23,2013-11-22 05:14:14,13021926MM10A,2013-11-21,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-22,Risk of Violence,3,Low,2013-11-22,2013-11-21,2013-11-22,1,0,861,0,0,0 +6615,alison coutain,alison,coutain,2013-05-26,Female,1968-12-28,47,Greater than 45,Other,0,1,0,0,0,-1,2013-05-25 09:23:37,2013-05-28 10:06:23,13007499CF10A,2013-05-25,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-28,0,2,1041,0,0,0 +6626,terril bishop,terril,bishop,2013-05-26,Male,1989-11-26,26,25 - 45,African-American,0,2,0,0,0,-1,2013-05-25 05:26:05,2013-05-27 06:22:44,13007482CF10A,2013-05-25,,1,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-26,Risk of Violence,3,Low,2013-05-26,2013-05-25,2013-05-27,0,1,1041,0,0,0 +6627,patrick hoosue,patrick,hoosue,2014-01-27,Male,1974-09-24,41,25 - 45,Hispanic,0,1,0,0,1,-38,2013-12-20 12:51:29,2014-01-19 06:50:56,10000783MM30A,2010-05-04,,1364,M,Petit Theft $100- $300,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2015-01-26,2015-03-17,1,0,364,0,0,0 +6633,ryan chitwood,ryan,chitwood,2013-06-14,Male,1986-02-09,30,25 - 45,Caucasian,0,4,0,0,3,225,2014-01-25 03:44:17,2014-04-05 04:50:01,12018809CF10A,2012-12-29,,167,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-14,Risk of Violence,3,Low,2013-06-14,2014-01-25,2014-04-05,3,0,225,0,0,0 +6636,brandon guerra,brandon,guerra,2013-12-31,Male,1994-11-07,21,Less than 25,Caucasian,0,3,0,1,0,-1,2013-12-30 11:33:39,2013-12-31 07:58:02,13017982CF10A,2013-12-30,,1,M,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-31,Risk of Violence,5,Medium,2013-12-31,2013-12-30,2013-12-31,0,0,822,0,0,0 +6637,alexandra donovan,alexandra,donovan,2013-02-24,Female,1984-01-25,32,25 - 45,Caucasian,0,1,0,1,0,-1,2013-02-23 05:11:38,2013-02-24 06:41:29,13003781MM10A,2013-02-22,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2013-02-23,2013-02-24,0,0,1132,0,0,0 +6639,llewellyn jones,llewellyn,jones,2013-10-10,Male,1964-11-23,51,Greater than 45,African-American,0,1,0,0,3,0,2013-10-10 01:07:03,2013-10-10 08:58:56,13014209CF10A,2013-10-10,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-10-10,2013-10-10,3,0,904,0,0,0 +6642,shawn harbison,shawn,harbison,2014-02-14,Male,1980-11-28,35,25 - 45,Caucasian,0,3,0,0,2,-1,2014-02-13 01:00:49,2014-02-14 01:28:38,14002072CF10A,2014-02-13,,1,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-14,Risk of Violence,2,Low,2014-02-14,2014-02-13,2014-02-14,2,0,777,0,0,0 +6645,tiffany morgan,tiffany,morgan,2013-09-06,Female,1978-07-10,37,25 - 45,African-American,0,1,0,0,3,-1,2013-09-05 07:35:42,2013-10-04 08:46:45,13010467CF10A,,2013-09-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-05,2013-10-04,3,28,938,0,0,0 +6650,luke brooks,luke,brooks,2013-01-18,Male,1991-11-18,24,Less than 25,African-American,0,8,0,0,0,-1,2013-01-17 07:29:28,2013-01-19 03:27:48,13001210MM10A,2013-01-17,,1,M,Battery,1,14011487MM10A,(M1),0,2014-07-28,Battery,2014-07-28,2014-07-29,,1,14011487MM10A,(M1),2014-07-28,Battery,Risk of Recidivism,8,High,2013-01-18,Risk of Violence,8,High,2013-01-18,2014-07-28,2014-07-29,0,1,556,1,1,1 +6651,niesha johnson,niesha,johnson,2013-02-01,Female,1983-03-18,33,25 - 45,African-American,0,4,0,0,3,-1,2013-01-31 11:52:39,2013-02-02 12:53:13,13002276MM10A,2013-01-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-01-31,2013-02-02,3,1,1155,0,0,0 +6653,karlijo teague,karlijo,teague,2014-01-06,Female,1985-12-08,30,25 - 45,Caucasian,0,6,0,0,4,-1,2014-01-05 09:58:29,2014-02-04 01:08:43,13004640CF10A,,2014-01-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-06,Risk of Violence,5,Medium,2014-01-06,2014-01-05,2014-02-04,4,29,816,0,0,0 +6655,nicole daley,nicole,daley,2013-10-30,Female,1974-01-12,42,25 - 45,African-American,0,1,0,0,1,-10,2013-10-20 12:32:39,2013-10-20 06:19:35,13014644CF10A,,2013-10-20,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2013-10-20,2013-10-20,1,0,884,0,0,0 +6657,shanta mcfadden,shanta,mcfadden,2014-01-07,Female,1975-07-04,40,25 - 45,African-American,0,7,0,0,15,-1,2014-01-06 11:02:48,2014-03-13 06:17:07,14000345CF10A,,2014-01-07,0,F,arrest case no charge,1,15007638CF10A,(F3),,2014-12-01,Crim Use of Personal ID Info,,,,1,15001258CF10A,(F3),2015-01-27,Agg Fleeing and Eluding,Risk of Recidivism,7,Medium,2014-01-07,Risk of Violence,6,Medium,2014-01-07,2014-01-06,2014-03-13,15,65,328,1,1,1 +6659,odige greguer,odige,greguer,2014-03-02,Male,1994-10-11,21,Less than 25,African-American,0,7,0,0,0,0,2014-03-02 01:56:04,2014-03-05 03:46:32,14002935CF10A,2014-03-02,,0,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-03-02,Risk of Violence,8,High,2014-03-02,2014-03-02,2014-03-05,0,3,761,0,0,0 +6661,christopher henderson,christopher,henderson,2013-12-30,Male,1991-11-08,24,Less than 25,Caucasian,0,2,0,0,0,0,2013-12-30 06:38:43,2013-12-30 08:21:57,13017997CF10A,2013-12-30,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-30,Risk of Violence,3,Low,2013-12-30,2013-12-30,2013-12-30,0,0,823,0,0,0 +6662,james mchelen,james,mchelen,2013-04-22,Male,1974-07-20,41,25 - 45,African-American,0,1,0,0,0,-1,2013-04-21 11:38:31,2013-04-22 07:28:57,13005699CF10A,2013-04-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-21,2013-04-22,0,0,1075,0,0,0 +6663,vincent cash,vincent,cash,2013-10-03,Male,1976-12-18,39,25 - 45,African-American,0,4,0,0,1,-1,2013-10-02 05:59:48,2013-10-03 07:59:23,13013821CF10A,2013-10-02,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-03,Risk of Violence,2,Low,2013-10-03,2013-10-02,2013-10-03,1,0,911,0,0,0 +6665,laquana crawford,laquana,crawford,2013-01-25,Female,1992-03-18,24,Less than 25,African-American,0,8,0,0,3,-1,2013-01-24 01:05:25,2013-01-24 02:11:02,13001085CF10A,2013-01-23,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-25,Risk of Violence,10,High,2013-01-25,2013-03-22,2013-03-26,3,0,56,0,0,0 +6667,zaysha clark,zaysha,clark,2013-05-30,Female,1992-04-03,24,Less than 25,African-American,0,4,0,0,1,-23,2013-05-07 04:49:30,2013-05-08 01:00:01,13006539CF10A,2013-05-07,,23,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-30,Risk of Violence,4,Low,2013-05-30,2014-07-11,2014-08-22,1,0,407,0,0,0 +6669,percel kinder,percel,kinder,2013-08-22,Male,1976-07-22,39,25 - 45,African-American,0,10,0,0,35,-45,2013-07-08 12:14:46,2013-07-12 05:10:47,13005132CF10A,,2013-07-08,45,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-22,Risk of Violence,8,High,2013-08-22,2013-10-08,2013-10-22,35,0,47,0,0,0 +6679,amanda england,amanda,england,2014-07-08,Female,1990-03-12,26,25 - 45,Other,0,7,0,0,4,-1,2014-07-07 10:28:01,2014-07-09 10:06:53,14010484MM10A,2014-07-07,,1,M,Battery,1,14017040CF10A,(F3),0,2014-12-24,Felony Battery w/Prior Convict,2014-12-24,2014-12-25,,1,14017040CF10A,(F3),2014-12-24,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2014-07-08,Risk of Violence,4,Low,2014-07-08,2014-12-24,2014-12-25,4,1,169,1,1,1 +6685,derriviann rollins,derriviann,rollins,2013-01-09,Male,1972-03-15,44,25 - 45,African-American,0,5,0,0,0,-1,2013-01-08 05:46:22,2013-02-11 09:37:00,13000460MM10A,2013-01-08,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-09,Risk of Violence,4,Low,2013-01-09,2013-01-08,2013-02-11,0,33,1178,0,0,0 +6688,thomas mosiman,thomas,mosiman,2013-12-10,Male,1973-07-08,42,25 - 45,Caucasian,0,4,0,0,0,-1,2013-12-09 09:39:35,2013-12-10 01:03:57,13017038CF10A,2013-12-09,,1,F,Possession of LSD,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-09,2013-12-10,0,0,843,0,0,0 +6689,jays batchanoo,jays,batchanoo,2014-02-10,Male,1971-01-05,45,Greater than 45,Caucasian,0,1,0,0,1,-2,2014-02-08 05:55:50,2014-02-09 08:45:07,14005077MU10A,2014-02-08,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-08,2014-02-09,1,0,781,0,0,0 +6690,marcus walker,marcus,walker,2013-05-17,Male,1990-11-26,25,25 - 45,African-American,0,10,1,0,7,-1,2013-05-16 04:11:47,2013-06-05 09:16:19,13007009CF10A,2013-05-16,,1,F,Resist Officer w/Violence,1,15005653CF10A,(F3),,2015-04-30,Poss Pyrrolidinovalerophenone,,,,1,16002008MM10A,(M1),2016-02-10,Battery,Risk of Recidivism,10,High,2013-05-17,Risk of Violence,10,High,2013-05-17,2014-03-07,2014-04-13,7,19,294,0,1,1 +6691,deanna headley,deanna,headley,2013-02-20,Female,1987-08-28,28,25 - 45,Caucasian,0,9,0,0,7,606,2014-10-19 09:33:27,2015-03-13 06:27:01,11014152CF10A,,2012-06-21,244,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-20,Risk of Violence,6,Medium,2013-02-20,2014-10-19,2015-03-13,7,0,606,0,0,0 +6692,kalim bordones,kalim,bordones,2013-12-12,Male,1982-06-04,33,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-11 01:52:15,2013-12-16 11:33:44,13017134CF10A,2013-12-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-12,Risk of Violence,1,Low,2013-12-12,2013-12-11,2013-12-16,0,4,841,0,0,0 +6693,nicholas higgins,nicholas,higgins,2013-04-15,Male,1990-05-21,25,25 - 45,Caucasian,0,3,0,0,0,-1,2013-04-14 06:30:50,2013-04-17 09:00:35,13007216MM10A,2013-04-14,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-15,Risk of Violence,4,Low,2013-04-15,2013-04-14,2013-04-17,0,2,1082,0,0,0 +6695,dalonnte king,dalonnte,king,2013-05-31,Male,1984-01-04,32,25 - 45,African-American,0,4,1,0,5,-10,2013-05-21 04:49:19,2013-05-30 09:32:59,11004931CF10A,,2013-05-21,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-31,Risk of Violence,2,Low,2013-05-31,2013-05-21,2013-05-30,5,0,1036,0,0,0 +6696,dwayne means,dwayne,means,2013-05-10,Male,1992-10-30,23,Less than 25,African-American,0,7,0,0,0,-1,2013-05-09 11:11:46,2013-05-13 07:39:52,13006646CF10A,2013-05-09,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-10,Risk of Violence,5,Medium,2013-05-10,2013-05-09,2013-05-13,0,3,1057,0,0,0 +6697,kevin carr,kevin,carr,2013-01-07,Male,1976-05-29,39,25 - 45,Caucasian,0,5,0,0,0,-1,2013-01-06 10:10:12,2013-01-08 05:21:24,13000304MM10A,2013-01-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-07,Risk of Violence,2,Low,2013-01-07,2013-01-06,2013-01-08,0,1,1180,0,0,0 +6698,roy harris,roy,harris,2013-12-03,Male,1989-01-08,27,25 - 45,African-American,0,8,0,0,12,-1,2013-12-02 01:10:34,2013-12-03 01:33:52,13016662CF10A,2013-12-02,,1,F,Grand Theft Firearm,1,14006164CF10A,(M1),0,2014-05-02,Resist/Obstruct W/O Violence,2014-05-02,2014-05-03,,1,15002728MM10A,(M1),2015-03-07,Battery,Risk of Recidivism,8,High,2013-12-03,Risk of Violence,4,Low,2013-12-03,2014-05-02,2014-05-03,12,0,150,1,1,1 +6699,yajaira sosa,yajaira,sosa,2013-12-06,Female,1980-08-24,35,25 - 45,Caucasian,0,7,0,0,4,-1,2013-12-05 07:28:23,2013-12-07 04:01:47,13022583MM10A,2013-12-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-06,Risk of Violence,2,Low,2013-12-06,2013-12-05,2013-12-07,4,1,847,0,0,0 +6701,kwatavis campbell,kwatavis,campbell,2013-10-25,Male,1992-04-26,23,Less than 25,African-American,0,5,0,0,1,-58,2013-08-28 03:10:21,2013-08-30 05:38:20,13012168CF10A,2013-08-28,,58,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,6,Medium,2013-10-25,2014-02-19,2014-03-08,1,0,117,0,0,0 +6702,linell remekie,linell,remekie,2013-08-29,Female,1977-06-14,38,25 - 45,African-American,0,1,0,0,0,0,2013-08-29 05:44:52,2013-08-30 03:36:06,13016553MM10A,2013-08-29,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-29,Risk of Violence,1,Low,2013-08-29,2013-08-29,2013-08-30,0,1,946,0,0,0 +6703,brandon brooks,brandon,brooks,2013-03-25,Male,1985-06-15,30,25 - 45,African-American,0,2,0,0,4,-10,2013-03-15 05:52:37,2013-03-22 09:44:51,12016249CF10A,,2013-03-15,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-25,Risk of Violence,2,Low,2013-03-25,2013-03-15,2013-03-22,4,0,1103,0,0,0 +6704,michael hafford,michael,hafford,2013-12-17,Male,1985-12-28,30,25 - 45,Caucasian,0,5,0,0,1,-1,2013-12-16 10:45:49,2014-01-14 10:17:39,13017366CF10A,2013-12-16,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-17,Risk of Violence,2,Low,2013-12-17,2015-01-13,2015-01-21,1,28,392,0,0,0 +6705,crystal smith,crystal,smith,2013-02-13,Female,1986-02-12,30,25 - 45,Caucasian,0,8,0,0,0,0,2013-02-13 04:01:09,2013-02-13 08:39:18,13003177MM10A,2013-02-13,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-13,Risk of Violence,5,Medium,2013-02-13,2013-02-13,2013-02-13,0,0,1143,0,0,0 +6708,carey banton,carey,banton,2013-05-02,Male,1984-06-19,31,25 - 45,African-American,0,2,0,0,2,-1,2013-05-01 04:24:59,2013-05-03 09:29:24,13006281CF10A,2013-05-01,,1,F,Grand Theft in the 3rd Degree,1,15011802MM10A,(M2),0,2015-11-11,Petit Theft,2015-11-11,2015-11-12,,0,,,,,Risk of Recidivism,2,Low,2013-05-02,Risk of Violence,2,Low,2013-05-02,2014-07-19,2014-07-19,2,1,443,0,0,0 +6712,melanie graham,melanie,graham,2013-01-07,Female,1974-04-29,41,25 - 45,Caucasian,0,2,0,0,1,,,,12024683MM10A,2012-12-03,,35,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-07,Risk of Violence,1,Low,2013-01-07,,,1,0,1180,0,0,0 +6713,emmanuel jeanbaptiste,emmanuel,jeanbaptiste,2013-10-15,Male,1981-10-05,34,25 - 45,Other,0,2,0,0,0,-1,2013-10-14 03:41:56,2014-01-30 04:50:11,13014393CF10A,2013-10-14,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-15,Risk of Violence,2,Low,2013-10-15,2013-10-14,2014-01-30,0,107,899,0,0,0 +6715,stephanie derisse,stephanie,derisse,2013-08-04,Female,1990-11-24,25,25 - 45,African-American,0,5,0,0,0,-1,2013-08-03 01:49:54,2013-09-16 07:24:51,13014667MM10A,2013-08-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-04,Risk of Violence,4,Low,2013-08-04,2013-08-03,2013-09-16,0,43,971,0,0,0 +6717,stefany gallego,stefany,gallego,2013-02-19,Female,1989-05-19,26,25 - 45,Caucasian,0,6,0,0,1,-13,2013-02-06 10:37:48,2013-02-15 07:52:31,13001852CF10A,2013-02-06,,13,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-19,Risk of Violence,4,Low,2013-02-19,2013-02-06,2013-02-15,1,0,1137,0,0,0 +6721,kim mceachrane,kim,mceachrane,2013-03-25,Female,1978-06-17,37,25 - 45,African-American,0,1,0,0,0,-1,2013-03-24 06:22:00,2013-03-25 01:56:07,13005770MM10A,2013-03-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-24,2013-03-25,0,0,1103,0,0,0 +6722,rocco rombardo,rocco,rombardo,2013-12-27,Male,1982-02-28,34,25 - 45,Caucasian,0,5,0,1,3,-1,2013-12-26 08:22:16,2013-12-27 07:03:25,13023815MM10A,2013-12-26,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-27,Risk of Violence,5,Medium,2013-12-27,2013-12-26,2013-12-27,3,0,826,0,0,0 +6729,marilyn mejias,marilyn,mejias,2013-10-13,Female,1977-11-11,38,25 - 45,Hispanic,0,2,0,0,0,-1,2013-10-12 02:23:33,2013-11-06 11:22:29,13014318CF10A,2013-10-12,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-13,Risk of Violence,1,Low,2013-10-13,2013-10-12,2013-11-06,0,24,901,0,0,0 +6730,articia carter,articia,carter,2014-02-16,Female,1984-11-07,31,25 - 45,African-American,0,6,0,0,0,-1,2014-02-15 03:11:00,2014-02-17 12:42:48,14002660MM10A,2014-02-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-16,Risk of Violence,5,Medium,2014-02-16,2014-02-15,2014-02-17,0,1,775,0,0,0 +6731,linette alonso,linette,alonso,2013-04-10,Female,1986-08-21,29,25 - 45,Caucasian,0,2,0,0,0,0,2013-04-10 01:34:30,2013-04-10 08:51:16,13006873MM10A,2013-04-09,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,2,Low,2013-04-10,2013-04-10,2013-04-10,0,0,1087,0,0,0 +6733,sanjay sookhoo,sanjay,sookhoo,2013-02-01,Male,1993-07-30,22,Less than 25,African-American,0,4,0,0,0,-1,2013-01-31 02:25:40,2013-02-01 08:48:35,13001553CF10A,2013-01-31,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-01,Risk of Violence,6,Medium,2013-02-01,2015-10-26,2015-10-27,0,0,997,0,0,0 +6735,carmen manzanares,carmen,manzanares,2014-03-24,Female,1964-12-03,51,Greater than 45,Hispanic,0,1,0,0,0,-3,2014-03-21 10:24:01,2014-03-22 01:21:00,14004986MM10A,2014-03-21,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-24,Risk of Violence,1,Low,2014-03-24,2014-03-21,2014-03-22,0,0,739,0,0,0 +6739,dwayne cormier,dwayne,cormier,2014-12-30,Male,1968-09-01,47,Greater than 45,African-American,0,8,0,0,0,-1,2014-12-29 01:25:41,2014-12-30 07:58:52,14017157CF10A,2014-12-29,,1,F,Poss Pyrrolidinovalerophenone,1,15002041CF10A,(F2),1,2015-02-12,Robbery / No Weapon,2015-02-13,2015-09-21,,1,15002041CF10A,(F2),2015-02-12,Robbery / No Weapon,Risk of Recidivism,8,High,2014-12-30,Risk of Violence,6,Medium,2014-12-30,2015-02-13,2015-09-21,0,0,44,1,1,1 +6741,richllen metellus,richllen,metellus,2013-10-10,Male,1994-05-10,21,Less than 25,African-American,0,4,0,0,1,-1,2013-10-09 04:32:43,2013-10-10 05:30:24,13014178CF10A,2013-10-09,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-10,Risk of Violence,6,Medium,2013-10-10,2013-10-09,2013-10-10,1,0,904,0,0,0 +6747,neville henry,neville,henry,2013-03-07,Male,1992-11-02,23,Less than 25,African-American,0,9,0,1,5,-1,2013-03-06 05:57:50,2013-03-11 05:35:56,13003336CF10A,2013-03-06,,1,F,Grand Theft in the 3rd Degree,1,13007031MO10A,(MO3),0,2013-04-11,Retail Theft,2013-04-11,2013-04-26,,1,15000216MM10A,(M1),2015-01-06,Battery,Risk of Recidivism,9,High,2013-03-07,Risk of Violence,9,High,2013-03-07,2013-04-11,2013-04-26,5,4,35,1,1,1 +6748,fred alcius,fred,alcius,2013-09-16,Male,1992-04-26,23,Less than 25,Other,0,3,0,0,0,-1,2013-09-15 08:38:11,2013-09-16 07:24:21,13017574MM10A,2013-09-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-16,Risk of Violence,4,Low,2013-09-16,2013-09-15,2013-09-16,0,0,928,0,0,0 +6749,valentina parrish,valentina,parrish,2013-10-25,Female,1992-01-27,24,Less than 25,Caucasian,0,10,0,0,0,-1,2013-10-24 01:30:17,2013-10-24 09:21:19,13020094MM10A,2013-10-23,,2,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-25,Risk of Violence,6,Medium,2013-10-25,2014-02-13,2014-02-21,0,0,111,0,0,0 +6754,juliana byczkowski,juliana,byczkowski,2013-08-07,Female,1993-03-08,23,Less than 25,Hispanic,0,4,0,0,0,-2,2013-08-05 09:00:16,2013-08-06 01:36:03,13014751MM10A,2013-08-05,,2,M,Possess Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-07,Risk of Violence,5,Medium,2013-08-07,2013-08-05,2013-08-06,0,0,968,0,0,0 +6755,camille hendricks,camille,hendricks,2014-11-19,Female,1996-06-24,19,Less than 25,African-American,0,4,0,0,0,-1,2014-11-18 01:22:13,2014-11-19 10:10:03,14016488MM10A,2014-11-18,,1,M,Criminal Mischief Damage <$200,1,16000229MM10A,(M1),,2015-07-19,Battery,,,,1,16000229MM10A,(M1),2015-07-19,Battery,Risk of Recidivism,4,Low,2014-11-19,Risk of Violence,6,Medium,2014-11-19,2014-11-18,2014-11-19,0,0,242,1,1,1 +6756,ryan leonard,ryan,leonard,2014-01-24,Male,1984-02-22,32,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-23 06:22:42,2014-01-29 01:56:31,14000996CF10A,2014-01-23,,1,F,Grand Theft (Motor Vehicle),1,15006693MM10A,(M1),,2015-06-21,Possess Cannabis/20 Grams Or Less,,,,1,15009879CF10A,(F7),2015-07-31,Burglary Dwelling Assault/Batt,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,2,Low,2014-01-24,2014-01-23,2014-01-29,0,5,513,1,1,1 +6758,jaime stepp,jaime,stepp,2013-03-25,Female,1976-06-25,39,25 - 45,Caucasian,0,1,0,0,0,-3,2013-03-22 04:27:55,2013-03-23 02:26:59,13005657MM10A,2013-03-22,,3,M,Lve/Scen/Acc/Veh/Prop/Damage,1,14012287MM10A,(M1),0,2014-08-13,Battery,2014-08-13,2014-08-14,,1,14012287MM10A,(M1),2014-08-13,Battery,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2014-08-13,2014-08-14,0,0,506,1,1,1 +6760,oba ifill,oba,ifill,2013-01-04,Male,1982-06-05,33,25 - 45,African-American,0,7,0,0,2,-1,2013-01-03 10:41:22,2013-09-19 06:33:59,13000139CF10A,2013-01-03,,1,F,Tamper With Witness,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-04,Risk of Violence,7,Medium,2013-01-04,2013-01-03,2013-09-19,2,258,1183,0,0,0 +6763,alicia heeralal,alicia,heeralal,2014-01-11,Female,1980-03-09,36,25 - 45,Caucasian,0,2,0,0,0,-1,2014-01-10 10:17:29,2014-01-11 01:14:10,14000517MM10A,2014-01-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-11,Risk of Violence,1,Low,2014-01-11,2014-01-10,2014-01-11,0,0,811,0,0,0 +6765,john sanchez,john,sanchez,2014-03-04,Male,1955-02-08,61,Greater than 45,Hispanic,0,1,0,0,1,-81,2013-12-13 09:41:31,2014-03-04 10:10:43,13017239CF10A,2013-12-13,,81,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-04,Risk of Violence,1,Low,2014-03-04,2013-12-13,2014-03-04,1,0,759,0,0,0 +6769,maria marineau,maria,marineau,2013-08-23,Female,1976-02-13,40,25 - 45,Caucasian,0,2,0,0,0,0,2013-08-23 04:51:28,2013-08-23 07:18:31,13011899CF10A,2013-08-23,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-23,Risk of Violence,1,Low,2013-08-23,2013-08-23,2013-08-23,0,0,952,0,0,0 +6771,jeffrey sims,jeffrey,sims,2013-09-04,Male,1963-02-18,53,Greater than 45,African-American,0,7,0,0,4,-4,2013-08-31 09:11:48,2013-09-02 08:18:28,13012323CF10A,2013-08-31,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-08-31,2013-09-02,4,0,940,0,0,0 +6773,michelle gonzalez,michelle,gonzalez,2013-10-28,Female,1987-07-10,28,25 - 45,Caucasian,0,2,0,0,0,-1,2013-10-27 10:37:31,2013-10-28 08:11:04,13020372MM10A,2013-10-27,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-28,Risk of Violence,2,Low,2013-10-28,2013-10-27,2013-10-28,0,0,886,0,0,0 +6774,rosa zacariasreyes,rosa,zacariasreyes,2013-10-07,Male,1978-02-22,38,25 - 45,Hispanic,0,2,0,0,2,0,2013-10-07 03:09:55,2013-11-05 11:20:31,09021940MM10A,2009-09-13,,1485,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-10-07,2013-11-05,2,29,907,0,0,0 +6776,shawn beteza,shawn,beteza,2013-11-09,Male,1960-09-12,55,Greater than 45,Caucasian,0,3,0,0,0,-1,2013-11-08 11:23:28,2013-11-09 02:08:01,13015599CF10A,2013-11-08,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-09,Risk of Violence,1,Low,2013-11-09,2013-11-08,2013-11-09,0,0,874,0,0,0 +6778,steven khan,steven,khan,2013-08-22,Male,1993-09-01,22,Less than 25,African-American,1,7,0,0,1,-1,2013-08-21 06:28:25,2013-08-23 04:24:26,13015966MM10A,2013-08-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2013-08-21,2013-08-23,1,1,953,0,0,0 +6780,tiffaney batson,tiffaney,batson,2013-11-20,Female,1981-05-16,34,25 - 45,African-American,0,1,0,0,1,-1,2013-11-19 05:25:02,2013-11-21 09:38:50,13016064CF10A,2013-11-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-11-19,2013-11-21,1,1,863,0,0,0 +6781,danald champ,danald,champ,2013-05-15,Male,1961-01-05,55,Greater than 45,Caucasian,0,2,0,0,1,-17,2013-04-28 07:24:17,2013-05-02 08:55:43,13008161MM10A,2013-04-28,,17,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,3,Low,2013-05-15,2013-04-28,2013-05-02,1,0,1052,0,0,0 +6782,luis ayalaadorno,luis,ayalaadorno,2013-02-17,Male,1991-12-11,24,Less than 25,Hispanic,0,8,0,0,2,0,2013-02-17 12:51:20,2013-05-20 05:55:11,11006737CF10A,,2013-02-16,1,F,arrest case no charge,1,15007127CF10A,(F2),0,2015-05-31,Aggravated Battery / Pregnant,2015-05-31,2015-06-01,,1,15007127CF10A,(F2),2015-05-31,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2015-04-11,2015-04-12,2,92,783,0,0,0 +6784,zida boubacar,zida,boubacar,2013-09-09,Male,1975-04-07,41,25 - 45,Other,0,1,0,0,0,0,2013-09-09 04:00:04,2013-09-09 08:07:16,13017204MM10A,2013-09-09,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-09-09,2013-09-09,0,0,935,0,0,0 +6786,jose granados,jose,granados,2013-07-15,Male,1975-01-02,41,25 - 45,Hispanic,0,3,0,0,0,-2,2013-07-13 07:47:49,2013-07-14 01:34:09,13009842CF10A,2013-07-13,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-15,Risk of Violence,1,Low,2013-07-15,2013-07-13,2013-07-14,0,0,991,0,0,0 +6788,barry bell,barry,bell,2013-02-06,Male,1955-01-20,61,Greater than 45,African-American,0,3,0,0,12,-1,2013-02-05 05:43:08,2013-10-05 05:26:21,13002961CF10A,2013-02-05,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-06,Risk of Violence,4,Low,2013-02-06,2013-02-05,2013-10-05,12,241,1150,0,0,0 +6791,telford wallace,telford,wallace,2013-04-27,Male,1958-05-09,57,Greater than 45,African-American,0,1,0,0,3,0,2013-04-27 06:02:34,2013-04-29 01:41:38,13006054CF10A,2013-04-27,,0,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-27,2013-04-29,3,2,1070,0,0,0 +6793,abigail pomales,abigail,pomales,2013-10-20,Female,1977-10-10,38,25 - 45,Caucasian,0,3,0,0,2,-1,2013-10-19 06:29:28,2013-10-20 05:02:11,13019813MM10A,2013-10-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-20,Risk of Violence,2,Low,2013-10-20,2013-10-19,2013-10-20,2,0,894,0,0,0 +6796,tony stricklin,tony,stricklin,2014-11-28,Male,1992-08-20,23,Less than 25,African-American,0,2,0,0,0,-1,2014-11-27 03:02:28,2014-11-28 01:33:26,14015921CF10A,2014-11-27,,1,F,Fleeing Or Attmp Eluding A Leo,1,15004991CF10A,(M1),0,2015-04-16,Resist/Obstruct W/O Violence,2015-04-16,2015-05-29,,1,15004991CF10A,(F3),2015-04-16,Battery on Law Enforc Officer,Risk of Recidivism,2,Low,2014-11-28,Risk of Violence,3,Low,2014-11-28,2015-04-16,2015-05-29,0,0,139,1,1,1 +6798,adam young,adam,young,2013-11-19,Male,1992-04-24,23,Less than 25,Caucasian,0,5,0,0,3,-1,2013-11-18 11:04:11,2013-11-28 03:13:08,13016026CF10A,2013-11-18,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-19,Risk of Violence,6,Medium,2013-11-19,2013-11-18,2013-11-28,3,9,864,0,0,0 +6800,jahreal young,jahreal,young,2013-12-10,Male,1995-06-03,20,Less than 25,African-American,0,3,0,0,0,-1,2013-12-09 07:22:09,2013-12-10 01:53:59,13017043CF10A,2013-12-09,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-10,Risk of Violence,5,Medium,2013-12-10,2013-12-09,2013-12-10,0,0,843,0,0,0 +6801,edmund bruguier,edmund,bruguier,2013-10-04,Male,1971-06-27,44,25 - 45,Caucasian,0,8,0,0,1,-1,2013-10-03 06:09:07,2013-10-04 08:07:14,13013889CF10A,2013-10-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-04,Risk of Violence,5,Medium,2013-10-04,2013-10-03,2013-10-04,1,0,910,0,0,0 +6802,genevieve savage,genevieve,savage,2014-01-10,Female,1977-10-11,38,25 - 45,Caucasian,0,1,0,0,1,-23,2013-12-18 11:16:17,2013-12-20 06:03:00,13023417MM10A,2013-12-18,,23,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-10,Risk of Violence,1,Low,2014-01-10,2013-12-18,2013-12-20,1,0,812,0,0,0 +6808,willins louis,willins,louis,2013-12-27,Male,1983-05-16,32,25 - 45,Other,0,1,0,0,0,-1,2013-12-26 06:54:13,2013-12-27 09:23:36,14002330CF10A,2013-12-26,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,2,Low,2013-12-27,2014-05-05,2014-05-06,0,0,129,0,0,0 +6809,xavier gilbert,xavier,gilbert,2013-11-20,Male,1986-11-21,29,25 - 45,African-American,0,6,0,0,0,0,2013-11-20 02:07:01,2013-11-21 03:36:00,13016124CF10A,2013-11-20,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-20,Risk of Violence,3,Low,2013-11-20,2013-11-20,2013-11-21,0,1,863,0,0,0 +6811,lorenzo pulliam,lorenzo,pulliam,2013-01-17,Male,1992-09-20,23,Less than 25,African-American,0,9,0,0,3,-1,2013-01-16 09:46:14,2013-03-01 09:56:04,13000750CF10A,2013-01-16,,1,F,Grand Theft (Motor Vehicle),1,13006238CF10A,(F2),0,2013-05-01,Robbery / No Weapon,2013-05-01,2013-09-17,,1,13006238CF10A,(F2),2013-05-01,Robbery / No Weapon,Risk of Recidivism,9,High,2013-01-17,Risk of Violence,8,High,2013-01-17,2013-05-01,2013-09-17,3,43,104,1,1,1 +6812,ryan wert,ryan,wert,2013-12-19,Male,1991-08-12,24,Less than 25,Caucasian,0,4,0,1,1,-23,2013-11-26 11:09:43,2013-11-28 12:59:40,13016495CF10A,2013-11-26,,23,F,Possession of Morphine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-19,Risk of Violence,4,Low,2013-12-19,2013-11-26,2013-11-28,1,0,834,0,0,0 +6813,veugopalan devaswamparambil,veugopalan,devaswamparambil,2014-02-03,Male,1970-05-13,45,Greater than 45,Other,0,1,0,0,0,0,2014-02-03 03:10:19,2014-02-03 01:15:51,14004308MU10A,2014-02-03,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-03,2014-02-03,0,0,788,0,0,0 +6815,gregory taylor,gregory,taylor,2014-03-20,Male,1995-02-08,21,Less than 25,African-American,0,9,1,0,2,-1,2014-03-19 07:43:15,2014-03-20 09:45:37,14003851CF10A,2014-03-19,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-20,Risk of Violence,7,Medium,2014-03-20,2014-03-19,2014-03-20,2,0,743,0,0,0 +6816,tereese king,tereese,king,2013-10-05,Female,1986-08-08,29,25 - 45,African-American,0,2,0,0,0,0,2013-10-05 04:27:04,2013-10-06 08:51:00,13018956MM10A,2013-10-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-05,Risk of Violence,2,Low,2013-10-05,2013-10-05,2013-10-06,0,1,909,0,0,0 +6820,frank hamilton,frank,hamilton,2013-08-07,Male,1990-05-01,25,25 - 45,African-American,0,3,0,0,1,0,2013-08-07 04:39:32,2013-08-07 08:25:38,13011052CF10A,2013-08-07,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-07,Risk of Violence,4,Low,2013-08-07,2013-08-07,2013-08-07,1,0,968,0,0,0 +6824,paul gonzalez,paul,gonzalez,2013-01-03,Male,1970-01-25,46,Greater than 45,Hispanic,0,3,0,0,13,-1,2013-01-02 05:11:36,2013-05-24 03:31:20,13000057CF10A,2013-01-02,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-03,Risk of Violence,2,Low,2013-01-03,2013-01-02,2013-05-24,13,141,1184,0,0,0 +6828,kelvin diaz,kelvin,diaz,2013-12-15,Male,1988-08-02,27,25 - 45,Caucasian,0,2,0,0,2,-1,2013-12-14 06:09:17,2013-12-16 02:52:14,13017296CF10A,2013-12-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-15,Risk of Violence,3,Low,2013-12-15,2013-12-14,2013-12-16,2,1,838,0,0,0 +6829,michael lewis,michael,lewis,2013-01-09,Male,1966-09-11,49,Greater than 45,African-American,0,2,0,0,0,,,,,,,,M,,1,15001201MO10A,(MO3),1,2015-01-28,Disorderly Conduct,2015-01-29,2015-04-13,,0,,,,,Risk of Recidivism,2,Low,2013-01-09,Risk of Violence,2,Low,2013-01-09,2013-01-09,2013-01-10,0,1,749,1,0,0 +6834,roberto sevilla,roberto,sevilla,2014-03-18,Male,1979-03-17,37,25 - 45,Hispanic,0,1,0,0,1,-1,2014-03-17 06:38:54,2014-03-19 10:23:01,14003762CF10A,2014-03-17,,1,F,Aggravated Battery On 65/Older,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-18,Risk of Violence,1,Low,2014-03-18,2014-03-17,2014-03-19,1,1,745,0,0,0 +6836,alexander lopez,alexander,lopez,2014-03-26,Male,1994-06-21,21,Less than 25,Caucasian,0,3,0,0,0,-1,2014-03-25 03:55:09,2014-03-27 03:42:00,14004241CF10A,2014-03-25,,1,F,False Ownership Info/Pawn Item,1,14009053MM10A,(M1),0,2014-06-07,Battery,2014-06-07,2014-06-08,,1,14009053MM10A,(M1),2014-06-07,Battery,Risk of Recidivism,3,Low,2014-03-26,Risk of Violence,5,Medium,2014-03-26,2014-06-07,2014-06-08,0,1,73,1,1,1 +6847,lisa byrum,lisa,byrum,2014-01-31,Female,1987-07-06,28,25 - 45,African-American,0,7,0,0,4,-1,2014-01-30 06:24:26,2014-02-01 09:12:42,13017167CF10A,,2014-01-30,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-31,Risk of Violence,3,Low,2014-01-31,2014-01-30,2014-02-01,4,1,791,0,0,0 +6857,malina campbell,malina,campbell,2013-03-20,Female,1987-09-08,28,25 - 45,African-American,0,2,0,0,0,0,2013-03-20 03:43:32,2013-03-21 01:37:09,13005459MM10A,2013-03-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-20,Risk of Violence,2,Low,2013-03-20,2013-03-20,2013-03-21,0,1,1108,0,0,0 +6858,gregory beder,gregory,beder,2013-11-12,Male,1957-06-13,58,Greater than 45,Caucasian,0,2,0,0,3,-4,2013-11-08 10:40:39,2013-11-09 01:44:01,13021139MM10A,2013-11-08,,4,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-12,Risk of Violence,1,Low,2013-11-12,2013-11-08,2013-11-09,3,0,871,0,0,0 +6859,jacob baziak,jacob,baziak,2014-05-16,Male,1993-09-25,22,Less than 25,Caucasian,0,4,0,0,0,-1,2014-05-15 07:37:39,2014-05-21 08:48:32,14006771CF10A,2014-05-15,,1,F,Harm Public Servant Or Family,1,15001138MM10A,(M1),0,2015-01-28,Criminal Mischief>$200<$1000,2015-01-28,2015-02-06,,1,15001138MM10A,(M1),2015-01-28,Battery,Risk of Recidivism,4,Low,2014-05-16,Risk of Violence,5,Medium,2014-05-16,2015-01-28,2015-02-06,0,5,257,1,1,1 +6862,donald jarrett,donald,jarrett,2013-12-17,Male,1984-11-20,31,25 - 45,African-American,0,4,0,0,5,-1,2013-12-16 07:40:55,2013-12-18 10:47:22,13017381CF10A,2013-12-16,,1,F,Cruelty Toward Child,1,16000452MM30A,(M1),,2016-03-01,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-17,Risk of Violence,3,Low,2013-12-17,2013-12-16,2013-12-18,5,1,805,1,0,0 +6863,james brantley,james,brantley,2013-03-24,Male,1983-01-11,33,25 - 45,African-American,0,3,0,0,0,0,2013-03-24 07:30:48,2013-05-03 09:30:14,13004270CF10A,2013-03-24,,0,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,3,Low,2013-03-24,2013-03-24,2013-05-03,0,40,1104,0,0,0 +6866,mariah jackson,mariah,jackson,2014-01-29,Female,1993-02-28,23,Less than 25,African-American,0,5,1,0,1,0,2014-01-29 12:59:29,2014-01-29 07:47:45,14001630MM10A,2014-01-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-29,Risk of Violence,5,Medium,2014-01-29,2014-01-29,2014-01-29,1,0,793,0,0,0 +6870,raymond siggins,raymond,siggins,2013-09-20,Male,1983-09-24,32,25 - 45,Caucasian,0,10,0,0,11,-1,2013-09-19 02:19:06,2014-02-07 08:54:45,13013226CF10A,2013-09-19,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-20,Risk of Violence,9,High,2013-09-20,2013-09-19,2014-02-07,11,140,924,0,0,0 +6872,calvin chamblis,calvin,chamblis,2013-01-08,Male,1958-05-18,57,Greater than 45,African-American,0,2,0,0,2,,,,13000285CF10A,2013-01-07,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-08,Risk of Violence,1,Low,2013-01-08,,,2,0,1179,0,0,0 +6875,nicholas scafidi,nicholas,scafidi,2013-04-07,Male,1993-12-01,22,Less than 25,Caucasian,0,8,0,0,0,0,2013-04-07 02:58:17,2013-04-08 03:59:46,13005002CF10A,2013-04-07,,0,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-07,Risk of Violence,8,High,2013-04-07,2013-04-07,2013-04-08,0,1,1090,0,0,0 +6877,lashunda barbary,lashunda,barbary,2013-04-17,Female,1981-03-03,35,25 - 45,African-American,0,2,0,0,2,-1,2013-04-16 01:34:39,2013-04-17 06:59:17,13005445CF10A,2013-04-15,,2,F,Aggrav Child Abuse-Agg Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-17,Risk of Violence,1,Low,2013-04-17,2013-07-24,2013-10-04,2,0,98,0,0,0 +6881,elvis morales,elvis,morales,2013-07-23,Male,1981-04-17,35,25 - 45,Hispanic,0,1,0,0,2,-14,2013-07-09 12:32:41,2013-07-23 10:10:46,13009554CF10A,2013-07-08,,15,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-23,Risk of Violence,1,Low,2013-07-23,2015-03-17,2015-11-14,2,0,602,0,0,0 +6883,diane gay,diane,gay,2013-05-13,Female,1961-05-15,54,Greater than 45,Caucasian,0,2,0,0,1,-7,2013-05-06 04:01:50,2013-05-10 08:38:25,13008747MM10A,2013-05-06,,7,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2014-05-16,2014-05-16,1,0,368,0,0,0 +6884,cameron weaver,cameron,weaver,2013-08-11,Male,1987-03-16,29,25 - 45,Caucasian,0,8,0,0,0,-1,2013-08-10 05:05:35,2013-11-08 03:38:30,13011238CF10A,2013-08-10,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-11,Risk of Violence,3,Low,2013-08-11,2013-08-10,2013-11-08,0,89,964,0,0,0 +6888,demetrius bryant,demetrius,bryant,2013-02-09,Female,1979-08-03,36,25 - 45,African-American,0,6,0,0,0,0,2013-02-09 04:56:26,2013-02-10 01:22:54,11003479MO40A,,2013-02-09,0,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-09,Risk of Violence,2,Low,2013-02-09,2013-02-09,2013-02-10,0,1,1147,0,0,0 +6893,gilton bain,gilton,bain,2013-03-02,Male,1990-09-23,25,25 - 45,African-American,0,5,0,0,0,0,2013-03-02 01:54:09,2013-03-04 09:44:28,13003163CF10A,2013-03-01,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-02,Risk of Violence,5,Medium,2013-03-02,2013-03-02,2013-03-04,0,2,1126,0,0,0 +6894,brian cole,brian,cole,2013-08-01,Male,1987-01-28,29,25 - 45,African-American,0,5,0,0,2,-1,2013-07-31 06:22:13,2013-08-01 08:25:25,11078240TC20A,2011-11-05,,635,M,Fail Register Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-01,Risk of Violence,3,Low,2013-08-01,2013-07-31,2013-08-01,2,0,974,0,0,0 +6896,juan prebal,juan,prebal,2013-11-30,Male,1985-02-20,31,25 - 45,Hispanic,0,10,0,0,0,0,2013-11-30 05:18:06,2013-11-30 01:05:02,13016608CF10A,2013-11-30,,0,F,Possession of Cocaine,1,14000745CF10A,(F2),0,2014-01-17,Robbery / No Weapon,2014-01-17,2014-03-08,,1,14000745CF10A,(F2),2014-01-17,Robbery / No Weapon,Risk of Recidivism,10,High,2013-11-30,Risk of Violence,9,High,2013-11-30,2014-01-17,2014-03-08,0,0,48,1,1,1 +6898,wilner mascary,wilner,mascary,2013-09-26,Male,1953-06-12,62,Greater than 45,African-American,0,1,0,0,4,,,,12013816CF10A,,2012-09-20,371,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,,,4,0,918,0,0,0 +6899,eric smithberg,eric,smithberg,2013-01-10,Male,1976-11-11,39,25 - 45,Caucasian,0,2,0,0,0,0,2013-01-10 02:12:21,2013-01-10 07:13:09,13000586MM10A,2013-01-09,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-10,Risk of Violence,2,Low,2013-01-10,2013-01-10,2013-01-10,0,0,1177,0,0,0 +6901,melinda white,melinda,white,2014-01-23,Female,1992-06-29,23,Less than 25,African-American,0,7,0,0,0,0,2014-01-23 01:39:34,2014-01-23 08:11:47,14001015CF10A,2014-01-23,,0,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-23,Risk of Violence,4,Low,2014-01-23,2014-01-23,2014-01-23,0,0,799,0,0,0 +6904,nia-tarin mars,nia-tarin,mars,2013-12-23,Female,1993-04-09,23,Less than 25,African-American,0,4,0,0,1,-1,2013-12-22 09:21:51,2013-12-23 04:21:18,13017645CF10A,,2013-12-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,4,Low,2013-12-23,2013-12-22,2013-12-23,1,0,830,0,0,0 +6906,yaquelyn iranzo,yaquelyn,iranzo,2013-06-17,Female,1978-10-08,37,25 - 45,Hispanic,0,3,0,0,0,-3,2013-06-14 10:05:29,2013-06-15 01:27:00,13011462MM10A,2013-06-14,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-17,Risk of Violence,3,Low,2013-06-17,2013-06-14,2013-06-15,0,0,1019,0,0,0 +6912,zelda kinchen,zelda,kinchen,2014-02-26,Female,1955-04-10,61,Greater than 45,African-American,0,6,0,0,1,-79,2013-12-09 10:48:15,2014-01-30 10:28:00,11014615CF10A,,2013-12-09,79,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-26,Risk of Violence,3,Low,2014-02-26,2013-12-09,2014-01-30,1,0,765,0,0,0 +6915,delama casimir,delama,casimir,2013-01-13,Male,1985-12-12,30,25 - 45,African-American,0,7,1,0,9,-1,2013-01-12 01:44:17,2013-01-20 02:33:15,13000551CF10A,2013-01-12,,1,F,Criminal Mischief,1,14005038CF10A,(F3),0,2014-04-11,Grand Theft in the 3rd Degree,2014-04-11,2014-05-16,,1,14015208MM10A,(M1),2014-10-19,Battery,Risk of Recidivism,7,Medium,2013-01-13,Risk of Violence,2,Low,2013-01-13,2014-04-11,2014-05-16,9,7,453,1,1,1 +6916,carl fleming,carl,fleming,2013-02-23,Male,1992-11-04,23,Less than 25,African-American,0,6,0,0,1,-1,2013-02-22 09:55:37,2013-03-30 04:46:32,13002762CF10A,2013-02-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-23,Risk of Violence,5,Medium,2013-02-23,2013-02-22,2013-03-30,1,35,1133,0,0,0 +6919,savanna saintilus,savanna,saintilus,2013-01-10,Female,1988-06-30,27,25 - 45,African-American,0,3,0,0,0,-2,2013-01-08 07:18:36,2013-01-09 01:34:00,13000307CF10A,2013-01-08,,2,F,Neglect Child / Bodily Harm,1,14002273CF10A,(F2),0,2014-02-18,Aggrav Battery w/Deadly Weapon,2014-02-18,2014-05-23,,1,14002273CF10A,(F2),2014-02-18,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,3,Low,2013-01-10,Risk of Violence,3,Low,2013-01-10,2014-02-18,2014-05-23,0,0,404,1,1,1 +6920,travis reed,travis,reed,2013-02-06,Male,1977-12-12,38,25 - 45,African-American,0,6,1,0,10,-1,2013-02-05 08:38:14,2013-02-06 02:15:49,13001791CF10A,2013-02-05,,1,M,Possess Cannabis 1000FTSch,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-06,Risk of Violence,2,Low,2013-02-06,2014-06-27,2014-07-02,10,0,506,0,0,0 +6921,sheridan collier,sheridan,collier,2014-02-01,Male,1973-08-10,42,25 - 45,African-American,0,1,0,0,1,-1,2014-01-31 07:36:13,2014-02-02 04:00:35,13016504CF10A,,2014-01-31,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-01,Risk of Violence,1,Low,2014-02-01,2014-12-04,2014-12-12,1,1,306,0,0,0 +6923,terrance moye,terrance,moye,2013-04-06,Male,1984-08-01,31,25 - 45,African-American,0,3,0,0,0,-1,2013-04-05 12:30:30,2013-04-06 08:02:02,13005072CF10A,2013-04-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-06,Risk of Violence,2,Low,2013-04-06,2013-04-05,2013-04-06,0,0,1091,0,0,0 +6927,boston johnson,boston,johnson,2013-11-12,Male,1972-07-01,43,25 - 45,African-American,0,5,0,0,1,-1,2013-11-11 06:15:16,2013-11-16 12:03:49,13021226MM10A,2013-11-11,,1,M,Battery,1,15009798MM10A,(M1),0,2015-09-15,Battery,2015-09-15,2015-09-20,,1,15009798MM10A,(M1),2015-09-15,Battery,Risk of Recidivism,5,Medium,2013-11-12,Risk of Violence,4,Low,2013-11-12,2015-09-15,2015-09-20,1,4,672,1,1,1 +6929,glenn morris,glenn,morris,2013-09-07,Male,1976-12-03,39,25 - 45,Caucasian,0,3,0,0,0,-1,2013-09-06 10:19:32,2013-09-12 08:10:36,13012607CF10A,2013-09-06,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-06,2013-09-12,0,5,937,0,0,0 +6931,marcus posey,marcus,posey,2013-02-04,Male,1984-08-23,31,25 - 45,African-American,0,2,0,0,0,-1,2013-02-03 10:14:16,2013-02-07 05:51:57,13001692CF10A,2013-02-03,,1,M,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-04,Risk of Violence,2,Low,2013-02-04,2013-02-03,2013-02-07,0,3,1152,0,0,0 +6934,roger byrum,roger,byrum,2013-12-19,Female,1982-06-21,33,25 - 45,African-American,0,3,0,0,0,0,2013-12-19 03:05:43,2013-12-21 09:50:58,13017526CF10A,2013-12-19,,0,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-19,Risk of Violence,2,Low,2013-12-19,2013-12-19,2013-12-21,0,2,834,0,0,0 +6935,zachary moore,zachary,moore,2013-01-27,Male,1994-08-13,21,Less than 25,Caucasian,0,5,1,0,1,115,2013-05-22 07:12:57,2013-05-28 06:47:30,13001323CF10A,2013-01-27,,0,F,Possession of Cocaine,1,13015575MM10A,(M1),0,2013-08-17,Resist/Obstruct W/O Violence,2013-08-17,2013-09-17,,1,14011902CF10A,(F2),2014-09-01,Robbery / No Weapon,Risk of Recidivism,5,Medium,2013-01-27,Risk of Violence,7,Medium,2013-01-27,2013-05-22,2013-05-28,1,0,115,0,1,1 +6936,nickles stfleur,nickles,stfleur,2013-12-16,Male,1992-09-19,23,Less than 25,African-American,0,6,0,0,1,-1,2013-12-15 04:22:32,2014-04-14 11:42:17,13017336CF10A,2013-12-15,,1,F,Aggravated Battery / Pregnant,1,14015878CF10A,(F3),,2014-09-25,Felony Battery (Dom Strang),,,,1,14015878CF10A,(F3),2014-09-25,Felony Battery (Dom Strang),Risk of Recidivism,6,Medium,2013-12-16,Risk of Violence,8,High,2013-12-16,2013-12-15,2014-04-14,1,119,283,1,1,1 +6937,maricelis hernandez,maricelis,hernandez,2013-04-17,Female,1987-01-26,29,25 - 45,Caucasian,0,4,0,0,0,-1,2013-04-16 02:44:06,2013-05-14 08:05:34,13005536CF10A,2013-04-16,,1,F,Consp Traff Oxycodone 4g><14g,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-17,Risk of Violence,3,Low,2013-04-17,2013-04-16,2013-05-14,0,27,1080,0,0,0 +6939,michael madia,michael,madia,2013-01-16,Male,1954-03-10,62,Greater than 45,Caucasian,0,1,0,0,2,-4,2013-01-12 01:16:30,2013-01-15 07:17:11,13001825CF10A,2013-01-11,,5,F,Solicit Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-16,Risk of Violence,1,Low,2013-01-16,2013-02-06,2013-02-07,2,0,21,0,0,0 +6944,ella burburan,ella,burburan,2014-03-18,Female,1971-05-27,44,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-17 06:48:31,2014-03-18 01:08:58,14004619MM10A,2014-03-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-18,Risk of Violence,1,Low,2014-03-18,2014-03-17,2014-03-18,0,0,745,0,0,0 +6948,isaac gray,isaac,gray,2013-03-18,Male,1986-04-18,30,25 - 45,African-American,0,5,0,0,0,0,2013-03-18 03:34:14,2013-03-18 06:25:19,13003921CF10A,2013-03-18,,0,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-18,Risk of Violence,3,Low,2013-03-18,2013-03-18,2013-03-18,0,0,1110,0,0,0 +6950,kenneth mcminn,kenneth,mcminn,2013-03-09,Male,1964-04-26,51,Greater than 45,Caucasian,0,6,0,0,3,-1,2013-03-08 12:35:15,2013-03-25 08:50:15,13003469CF10A,2013-03-08,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-09,Risk of Violence,3,Low,2013-03-09,2014-07-19,2014-07-28,3,16,497,0,0,0 +6952,keon johnson,keon,johnson,2014-02-03,Male,1994-07-30,21,Less than 25,African-American,0,5,0,0,0,-1,2014-02-02 11:07:12,2014-02-05 07:54:36,14001471CF10A,2014-02-02,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-03,Risk of Violence,6,Medium,2014-02-03,2014-02-02,2014-02-05,0,2,788,0,0,0 +6957,akeine banner,akeine,banner,2013-01-02,Male,1988-11-10,27,25 - 45,African-American,0,9,0,0,3,-1,2013-01-01 03:16:15,2013-01-10 04:12:28,13000047CF10A,2013-01-01,,1,F,Carrying Concealed Firearm,1,13017941CF10A,(F1),1,2013-12-28,Robbery W/Firearm,2013-12-29,2015-04-02,,1,13017941CF10A,(F1),2013-12-28,Robbery W/Firearm,Risk of Recidivism,9,High,2013-01-02,Risk of Violence,5,Medium,2013-01-02,2013-01-01,2013-01-10,3,8,360,1,1,1 +6959,cedgar caraveo,cedgar,caraveo,2013-04-20,Male,1987-10-30,28,25 - 45,Hispanic,0,4,0,0,0,0,2013-04-20 05:28:13,2013-04-20 07:17:54,13005679CF10A,2013-04-20,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,2,Low,2013-04-20,2013-04-20,2013-04-20,0,0,1077,0,0,0 +6960,judy fleurimond,judy,fleurimond,2013-10-28,Female,1985-03-31,31,25 - 45,African-American,0,1,0,0,0,-1,2013-10-27 01:53:54,2013-10-29 08:51:33,13015008CF10A,2013-10-27,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-28,Risk of Violence,1,Low,2013-10-28,2013-10-27,2013-10-29,0,1,886,0,0,0 +6963,elizabeth carlson,elizabeth,carlson,2013-10-02,Female,1967-03-01,49,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-10-01 06:01:14,2013-10-02 03:31:06,13013862CF10A,2013-10-01,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-01,2013-10-02,2,0,912,0,0,0 +6965,kela simpson,kela,simpson,2013-04-19,Female,1974-09-12,41,25 - 45,Other,0,3,0,0,2,-1,2013-04-18 08:43:09,2013-05-04 02:25:51,04016984CF10C,,2013-04-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-19,Risk of Violence,3,Low,2013-04-19,2014-11-08,2015-01-15,2,15,568,0,0,0 +6967,edwin oliva,edwin,oliva,2013-10-24,Male,1995-08-05,20,Less than 25,Caucasian,0,4,0,5,0,-1,2013-10-23 05:29:31,2013-10-24 09:33:22,13020111MM10A,2013-10-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-24,Risk of Violence,7,Medium,2013-10-24,2013-10-23,2013-10-24,0,0,890,0,0,0 +6975,antwoin graham,antwoin,graham,2013-04-08,Male,1992-12-19,23,Less than 25,African-American,0,9,1,0,4,0,2013-04-08 12:39:29,2013-10-18 05:35:27,13001063CF10A,,2013-04-07,1,F,arrest case no charge,1,13023858MM10A,(M1),0,2013-11-20,Trespass Struct/Convey Occupy,2013-11-20,2014-12-23,,1,13016111CF10A,(F7),2013-11-20,Burglary Dwelling Assault/Batt,Risk of Recidivism,9,High,2013-04-08,Risk of Violence,9,High,2013-04-08,2013-11-20,2014-12-23,4,193,226,1,1,1 +6976,mathew miranda,mathew,miranda,2013-12-10,Male,1989-11-01,26,25 - 45,Caucasian,0,4,0,0,0,-1,2013-12-09 11:19:57,2013-12-12 09:19:18,13022788MM10A,2013-12-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-10,Risk of Violence,3,Low,2013-12-10,2013-12-09,2013-12-12,0,2,843,0,0,0 +6979,piero delsolar,piero,delsolar,2013-03-23,Male,1987-05-31,28,25 - 45,Caucasian,0,2,0,0,1,0,2013-03-23 05:48:15,2013-03-24 07:18:54,13005703MM10A,2013-03-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-23,Risk of Violence,2,Low,2013-03-23,2013-03-23,2013-03-24,1,1,1105,0,0,0 +6983,ricky burley,ricky,burley,2013-06-28,Male,1964-01-28,52,Greater than 45,African-American,0,1,0,0,4,-5,2013-06-23 12:28:04,2013-06-28 12:05:48,13012027MM10A,2013-06-23,,5,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-28,Risk of Violence,1,Low,2013-06-28,2013-06-23,2013-06-28,4,0,1008,0,0,0 +6986,adam rivera,adam,rivera,2013-12-16,Male,1979-07-15,36,25 - 45,Hispanic,0,5,0,0,1,-1,2013-12-15 10:34:57,2013-12-19 10:27:31,13023230MM10A,2013-12-15,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-16,Risk of Violence,3,Low,2013-12-16,2013-12-15,2013-12-19,1,3,837,0,0,0 +6988,abraham gutierrez,abraham,gutierrez,2013-06-24,Male,1962-03-24,54,Greater than 45,Hispanic,0,5,0,0,5,149,2013-11-20 02:24:22,2014-02-22 01:33:10,11015284CF10A,2011-09-13,,650,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-24,Risk of Violence,1,Low,2013-06-24,2013-11-20,2014-02-22,5,0,149,0,0,0 +6990,vanessa gause,vanessa,gause,2013-10-07,Male,1962-02-25,54,Greater than 45,African-American,0,6,0,0,3,-66,2013-08-02 09:41:15,2013-10-07 11:12:37,13027058TC10A,2013-06-04,,125,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-07,Risk of Violence,2,Low,2013-10-07,2013-08-02,2013-10-07,3,0,907,0,0,0 +6999,shaquille brown,shaquille,brown,2014-02-20,Male,1993-06-25,22,Less than 25,African-American,0,4,0,0,0,0,2014-02-20 12:25:52,2014-02-20 08:57:04,14002366CF10A,2014-02-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-20,Risk of Violence,4,Low,2014-02-20,2014-02-20,2014-02-20,0,0,771,0,0,0 +7004,brandon wong,brandon,wong,2013-05-04,Male,1992-03-16,24,Less than 25,Caucasian,0,6,0,2,2,-1,2013-05-03 04:07:08,2013-06-05 01:25:37,13006345CF10A,2013-05-03,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-04,Risk of Violence,5,Medium,2013-05-04,2013-05-03,2013-06-05,2,32,1063,0,0,0 +7005,fredrick martin,fredrick,martin,2013-04-25,Male,1983-10-03,32,25 - 45,African-American,0,8,0,0,2,,,,09010099CF10A,,2009-05-29,1427,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-25,Risk of Violence,8,High,2013-04-25,2006-03-09,2006-11-08,2,0,1072,0,0,0 +7007,sabrina roper,sabrina,roper,2013-04-30,Female,1981-10-23,34,25 - 45,African-American,0,3,0,0,6,-1,2013-04-29 08:31:32,2013-04-30 01:17:31,13005982CF10A,,2013-04-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-30,Risk of Violence,2,Low,2013-04-30,2013-04-29,2013-04-30,6,0,1067,0,0,0 +7011,stephanie nevels,stephanie,nevels,2013-05-05,Male,1964-07-22,51,Greater than 45,African-American,0,5,0,0,8,-1,2013-05-04 09:20:34,2013-05-30 06:14:31,09002853MO30A,2009-08-28,,1346,M,Consume Alcoholic Bev Pub,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-05,Risk of Violence,1,Low,2013-05-05,2013-05-04,2013-05-30,8,25,1062,0,0,0 +7012,joe thetais,joe,thetais,2013-10-20,Male,1987-04-25,28,25 - 45,African-American,0,2,0,0,0,-1,2013-10-19 09:52:35,2013-10-20 08:40:59,13014659CF10A,2013-10-19,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-20,Risk of Violence,3,Low,2013-10-20,2013-10-19,2013-10-20,0,0,894,0,0,0 +7015,daniel rosario,daniel,rosario,2013-03-09,Male,1992-12-08,23,Less than 25,Caucasian,0,2,0,0,0,0,2013-03-09 05:57:11,2013-03-10 07:02:54,13003495CF10A,2013-03-09,,0,F,Poss Unlaw Issue Id,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-09,Risk of Violence,5,Medium,2013-03-09,2013-03-09,2013-03-10,0,1,1119,0,0,0 +7023,bryan burnett,bryan,burnett,2013-01-30,Male,1990-09-14,25,25 - 45,Caucasian,0,5,0,0,2,-1,2013-01-29 08:35:09,2013-02-07 09:32:54,13001431CF10A,2013-01-29,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-30,Risk of Violence,3,Low,2013-01-30,2013-01-29,2013-02-07,2,8,1157,0,0,0 +7024,jon lamore,jon,lamore,2013-09-11,Male,1988-03-23,28,25 - 45,Caucasian,0,7,0,0,2,-1,2013-09-10 11:51:18,2013-09-11 01:36:16,13012812CF10A,2013-09-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-11,Risk of Violence,8,High,2013-09-11,2013-12-24,2014-03-21,2,0,104,0,0,0 +7025,shellene thorpe,shellene,thorpe,2014-03-26,Female,1983-06-17,32,25 - 45,African-American,0,1,0,0,0,0,2014-03-26 12:39:59,2014-03-26 08:10:27,14005238MM10A,2014-03-25,,1,M,Battery,1,14016669MM10A,(M1),0,2014-11-22,Battery,2014-11-22,2014-11-23,,1,14016669MM10A,(M1),2014-11-22,Battery,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2014-11-22,2014-11-23,0,0,241,1,1,1 +7026,rashidi nightingale,rashidi,nightingale,2013-05-10,Male,1980-04-28,35,25 - 45,African-American,0,4,0,0,7,-1,2013-05-09 11:20:35,2013-06-07 09:22:48,13004701CF10A,,2013-05-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-10,Risk of Violence,3,Low,2013-05-10,2013-05-09,2013-06-07,7,28,1057,0,0,0 +7029,robie brown,robie,brown,2013-10-05,Male,1982-11-28,33,25 - 45,African-American,0,9,0,0,16,0,2013-10-05 12:52:57,2013-11-07 12:55:45,13018928MM10A,2013-10-04,,1,M,Susp Drivers Lic 1st Offense,1,14000757MM40A,(M1),,2014-02-23,Possess Cannabis/20 Grams Or Less,,,,1,16000514MM10A,(M1),2015-12-14,Battery,Risk of Recidivism,9,High,2013-10-05,Risk of Violence,9,High,2013-10-05,2013-10-05,2013-11-07,16,33,141,1,1,1 +7030,semisi afu,semisi,afu,2013-08-26,Male,1986-04-19,30,25 - 45,Other,0,1,0,0,1,-1,2013-08-25 09:40:47,2013-08-27 05:13:19,13011997CF10A,2013-08-25,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-26,Risk of Violence,2,Low,2013-08-26,2013-08-25,2013-08-27,1,1,949,0,0,0 +7032,kathy floris,kathy,floris,2013-06-24,Female,1958-02-08,58,Greater than 45,Caucasian,0,2,0,0,1,-3,2013-06-21 12:44:56,2013-06-21 07:42:46,13011894MM10A,2013-06-20,,4,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-24,Risk of Violence,1,Low,2013-06-24,2013-06-21,2013-06-21,1,0,1012,0,0,0 +7033,ervin jones,ervin,jones,2013-09-24,Male,1993-10-04,22,Less than 25,African-American,0,7,0,0,2,0,2013-09-24 12:16:02,2013-10-08 05:22:15,13013430CF10A,2013-09-23,,1,F,Felony Battery (Dom Strang),1,15016323CF10A,(F3),,2015-12-22,False Imprisonment,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-24,Risk of Violence,6,Medium,2013-09-24,2015-05-15,2015-05-22,2,14,598,0,0,0 +7034,matthew dameron,matthew,dameron,2013-01-25,Male,1987-07-13,28,25 - 45,Caucasian,0,3,0,0,2,3,2013-01-28 03:35:04,2013-01-30 07:33:30,13000290CF10A,2013-01-07,,18,F,Possession of Oxycodone,1,13001383CF10A,(F1),0,2013-01-28,Robbery W/Firearm,2013-01-28,2013-01-30,,1,13001383CF10A,(F1),2013-01-28,Robbery W/Firearm,Risk of Recidivism,3,Low,2013-01-25,Risk of Violence,3,Low,2013-01-25,2013-01-28,2013-01-30,2,0,3,1,1,1 +7037,juan hawthorne,juan,hawthorne,2014-12-30,Male,1989-06-22,26,25 - 45,African-American,0,10,1,0,6,-1,2014-12-29 03:29:14,2015-01-02 11:16:53,14017146CF10A,2014-12-29,,1,F,Poss Pyrrolidinovalerophenone,1,15000773CF10A,(F3),1,2015-01-17,Grand Theft (Motor Vehicle),2015-01-18,2015-03-05,,1,15000773CF10A,(F3),2015-01-17,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-12-30,Risk of Violence,9,High,2014-12-30,2014-12-29,2015-01-02,6,3,18,1,1,1 +7040,eriberto gomez,eriberto,gomez,2013-04-07,Male,1992-10-30,23,Less than 25,Caucasian,0,9,0,0,0,0,2013-04-07 03:08:55,2013-04-08 08:21:53,13005008CF10A,2013-04-07,,0,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-07,Risk of Violence,9,High,2013-04-07,2013-04-07,2013-04-08,0,1,1090,0,0,0 +7043,rashad emmons,rashad,emmons,2013-03-28,Male,1989-09-21,26,25 - 45,African-American,0,3,0,0,0,-1,2013-03-27 10:33:56,2013-03-29 09:13:24,13004747CF10A,,2013-03-28,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-28,Risk of Violence,3,Low,2013-03-28,2013-03-27,2013-03-29,0,1,1100,0,0,0 +7044,charlie simmons,charlie,simmons,2013-10-30,Male,1990-11-27,25,25 - 45,African-American,0,5,0,0,1,0,2013-10-30 02:46:22,2013-10-30 08:28:58,13015140CF10A,2013-10-29,,1,F,Uttering Forged Bills,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-30,Risk of Violence,6,Medium,2013-10-30,2013-10-30,2013-10-30,1,0,884,0,0,0 +7047,daniel billie,daniel,billie,2013-04-03,Male,1976-03-08,40,25 - 45,Native American,0,6,0,0,2,-1,2013-04-02 08:40:37,2013-04-03 08:44:24,13006373MM10A,2013-04-02,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-03,Risk of Violence,2,Low,2013-04-03,2013-04-02,2013-04-03,2,0,1094,0,0,0 +7050,miguel arrietarosales,miguel,arrietarosales,2013-08-21,Male,1976-01-01,40,25 - 45,Hispanic,0,2,0,0,1,,,,12003419MM10A,2012-02-18,,550,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-21,Risk of Violence,2,Low,2013-08-21,,,1,0,954,0,0,0 +7051,reginald herman,reginald,herman,2013-12-18,Male,1959-09-22,56,Greater than 45,African-American,0,1,0,0,1,-1,2013-12-17 05:46:51,2013-12-18 10:30:00,13017434CF10A,2013-12-17,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-18,Risk of Violence,1,Low,2013-12-18,2013-12-17,2013-12-18,1,0,835,0,0,0 +7052,mark bird,mark,bird,2013-09-20,Male,1964-06-11,51,Greater than 45,Caucasian,0,2,0,0,3,-87,2013-06-25 10:02:01,2013-09-19 12:07:40,07017047CF10A,,2013-06-25,87,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-20,Risk of Violence,2,Low,2013-09-20,2013-12-26,2014-04-14,3,0,97,0,0,0 +7053,desta celestin,desta,celestin,2013-04-13,Male,1979-11-17,36,25 - 45,African-American,0,4,0,0,0,-1,2013-04-12 05:15:11,2014-01-17 10:44:53,13005303CF10A,2013-04-12,,1,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-13,Risk of Violence,3,Low,2013-04-13,2013-04-12,2014-01-17,0,279,1084,0,0,0 +7054,victor fals,victor,fals,2013-03-11,Male,1964-08-16,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-10 12:30:54,2013-03-12 09:49:53,13004810MM10A,2013-03-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-03-10,2013-03-12,0,1,1117,0,0,0 +7055,max williams,max,williams,2013-08-30,Male,1990-05-14,25,25 - 45,Caucasian,0,5,0,0,2,,,,13012214CF10A,2013-08-29,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-30,Risk of Violence,3,Low,2013-08-30,,,2,0,945,0,0,0 +7058,adrian dorsett,adrian,dorsett,2013-01-09,Male,1993-11-29,22,Less than 25,African-American,0,6,1,0,1,,,,09024265TC10A,2009-08-17,,1241,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-09,Risk of Violence,9,High,2013-01-09,,,1,0,1178,0,0,0 +7060,juanita sawyer,juanita,sawyer,2013-04-21,Female,1980-05-19,35,25 - 45,African-American,2,8,0,0,9,-1,2013-04-20 09:10:17,2013-10-11 06:10:26,13005080CF10A,,2013-04-20,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-21,Risk of Violence,7,Medium,2013-04-21,2013-04-20,2013-10-11,9,173,1076,0,0,0 +7067,tyler anderson,tyler,anderson,2013-03-01,Male,1994-02-27,22,Less than 25,Caucasian,0,9,1,0,2,0,2013-03-01 02:35:25,2013-03-02 09:45:12,13003112CF10A,2013-03-01,,0,F,Poss F/Arm Delinq,1,13025122TC10A,(M2),,2013-06-17,Operating W/O Valid License,,,,1,14011631CF10A,(F3),2014-08-26,Battery on Law Enforc Officer,Risk of Recidivism,9,High,2013-03-01,Risk of Violence,7,Medium,2013-03-01,2013-06-17,2013-11-07,2,1,108,1,1,1 +7068,darrell evans,darrell,evans,2013-02-20,Male,1972-06-09,43,25 - 45,Caucasian,0,1,0,0,2,-41,2013-01-10 05:45:14,2013-02-20 01:46:33,13000471CF10A,,2013-01-10,41,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-01-10,2013-02-20,2,0,1136,0,0,0 +7070,deondre bowden,deondre,bowden,2013-08-07,Male,1993-12-11,22,Less than 25,African-American,0,6,0,0,2,-64,2013-06-04 09:32:44,2013-07-24 07:39:53,13007927CF10A,2013-06-04,,64,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-07,Risk of Violence,7,Medium,2013-08-07,2013-06-04,2013-07-24,2,0,968,0,0,0 +7073,freddy crespo,freddy,crespo,2013-02-06,Male,1984-11-11,31,25 - 45,African-American,0,10,0,0,4,67,2013-04-14 05:41:17,2013-06-01 04:53:55,13002220MM10A,2013-01-02,,35,M,Possess Cannabis/20 Grams Or Less,1,13010232MM10A,(M1),,2013-04-13,Battery,,,,1,13010232MM10A,(M1),2013-04-13,Battery,Risk of Recidivism,10,High,2013-02-06,Risk of Violence,8,High,2013-02-06,2016-03-26,2016-03-27,4,0,66,1,1,1 +7079,travis bradford,travis,bradford,2013-04-08,Male,1990-04-26,25,25 - 45,Caucasian,0,7,0,1,3,-1,2013-04-07 05:01:37,2013-04-15 02:07:02,13004974CF10A,2013-04-06,,2,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-08,Risk of Violence,5,Medium,2013-04-08,2013-04-07,2013-04-15,3,7,1089,0,0,0 +7080,miriam torres,miriam,torres,2013-08-01,Female,1963-06-03,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-07-31 09:14:55,2013-08-01 07:36:57,13014466MM10A,2013-07-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-07-31,2013-08-01,0,0,974,0,0,0 +7082,anthony martinez,anthony,martinez,2013-01-19,Male,1980-11-01,35,25 - 45,Hispanic,0,7,0,0,0,-1,2013-01-18 07:51:52,2013-01-19 07:34:56,13000885CF10A,2013-01-18,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-19,Risk of Violence,4,Low,2013-01-19,2013-01-18,2013-01-19,0,0,1168,0,0,0 +7084,amanda blankenship,amanda,blankenship,2013-07-22,Female,1991-08-24,24,Less than 25,Caucasian,0,5,0,0,0,-3,2013-07-19 07:41:18,2013-07-20 01:59:43,13010141CF10A,2013-07-19,,3,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-22,Risk of Violence,2,Low,2013-07-22,2014-01-09,2014-02-04,0,0,171,0,0,0 +7087,walter pharicien,walter,pharicien,2013-09-20,Male,1959-02-18,57,Greater than 45,Other,0,1,0,0,0,0,2013-09-20 12:53:41,2013-09-27 09:19:14,13013238CF10A,2013-09-19,,1,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-09-20,2013-09-27,0,7,924,0,0,0 +7092,james fields,james,fields,2013-09-07,Male,1978-03-19,38,25 - 45,Caucasian,0,1,0,0,2,-1,2013-09-06 08:02:17,2013-09-07 08:08:36,13012624CF10A,,2013-09-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-06,2013-09-07,2,0,937,0,0,0 +7093,davel mcdonald,davel,mcdonald,2013-10-07,Male,1993-05-19,22,Less than 25,African-American,0,3,0,0,1,-66,2013-08-02 03:44:18,2013-10-04 08:35:25,13010914CF10A,2013-08-01,,67,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-08-02,2013-10-04,1,0,907,0,0,0 +7095,ronald baquedano-rivera,ronald,baquedano-rivera,2013-03-04,Male,1989-12-09,26,25 - 45,Hispanic,0,5,0,0,1,-2,2013-03-02 05:50:22,2013-03-03 09:01:18,13004278MM10A,2013-03-02,,2,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-04,Risk of Violence,3,Low,2013-03-04,2013-03-02,2013-03-03,1,0,1124,0,0,0 +7097,darryl weaver,darryl,weaver,2013-10-25,Male,1990-11-03,25,25 - 45,African-American,2,10,3,0,8,-230,2013-03-09 01:07:58,2013-09-10 10:03:00,12010496CF10A,,2013-09-09,46,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-25,Risk of Violence,9,High,2013-10-25,2015-04-07,2015-05-18,8,0,529,0,0,0 +7099,dathmus lane,dathmus,lane,2013-10-14,Male,1982-01-03,34,25 - 45,African-American,0,2,0,0,2,-1,2013-10-13 07:34:35,2013-10-14 10:04:31,13014341CF10A,2013-10-13,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,2013-10-13,2013-10-14,2,0,900,0,0,0 +7101,danyelle lampert,danyelle,lampert,2013-12-14,Female,1991-08-12,24,Less than 25,Caucasian,0,5,0,0,0,-1,2013-12-13 03:20:31,2013-12-14 01:25:18,13017257CF10A,2013-12-13,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-14,Risk of Violence,4,Low,2013-12-14,2014-07-05,2014-07-16,0,0,203,0,0,0 +7103,luis miranda,luis,miranda,2013-07-16,Male,1991-12-20,24,Less than 25,Other,0,5,0,0,4,-40,2013-06-06 08:04:10,2013-07-16 11:39:42,13008187CF10A,2013-06-06,,40,F,Shoot Into Vehicle,1,16003113CF10A,(F1),,2016-03-12,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-16,Risk of Violence,7,Medium,2013-07-16,2013-06-06,2013-07-16,4,0,970,1,0,0 +7104,daniel merico,daniel,merico,2013-01-24,Male,1967-01-28,49,Greater than 45,Caucasian,0,6,0,0,4,0,2013-01-24 02:26:10,2013-02-10 04:25:50,13001695MO10A,2013-01-23,,1,M,Battery Spouse Or Girlfriend,1,13013250MM10A,(M2),0,2013-07-12,Disorderly Intoxication,2013-07-12,2013-07-15,,1,13021680MM10A,(M1),2013-11-18,Battery,Risk of Recidivism,6,Medium,2013-01-24,Risk of Violence,4,Low,2013-01-24,2013-07-12,2013-07-15,4,17,169,1,1,1 +7109,roberto puertas,roberto,puertas,2013-02-05,Male,1961-01-09,55,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-02-04 07:14:30,2013-02-05 07:13:24,13001744CF10A,2013-02-04,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-02-04,2013-02-05,0,0,1151,0,0,0 +7110,joseph flynn,joseph,flynn,2013-10-04,Male,1990-08-19,25,25 - 45,Caucasian,0,4,0,1,1,,,,11020217CF10A,2011-12-12,,662,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-04,Risk of Violence,6,Medium,2013-10-04,,,1,0,910,0,0,0 +7112,nathaniel owens,nathaniel,owens,2014-08-17,Male,1960-07-24,55,Greater than 45,African-American,0,7,0,0,10,-1,2014-08-16 02:53:35,2014-08-20 09:38:09,14012374MM10A,2014-08-16,,1,M,Battery,1,14012369CF10A,(F3),0,2014-09-11,Felony Petit Theft,2014-09-11,2015-02-26,,1,15004156CF10A,(F3),2015-03-29,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2014-08-17,Risk of Violence,4,Low,2014-08-17,2014-09-11,2015-02-26,10,3,25,1,1,1 +7116,carl schurman,carl,schurman,2013-08-01,Male,1983-08-31,32,25 - 45,African-American,0,8,0,0,9,-1,2013-07-31 06:29:02,2013-11-20 04:58:00,13010683CF10A,2013-07-31,,1,F,Burglary Dwelling Occupied,1,16014602TC30A,(M2),,2016-03-03,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,8,High,2013-08-01,Risk of Violence,8,High,2013-08-01,2013-07-31,2013-11-20,9,111,945,1,0,0 +7117,charles miller,charles,miller,2013-01-19,Male,1960-08-06,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-18 06:53:17,2013-01-19 01:06:33,13000888CF10A,2013-01-18,,1,F,Driving While License Revoked,1,16007678TC10A,(M2),,2016-02-09,Oper Motorcycle W/O Valid DL,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-19,Risk of Violence,1,Low,2013-01-19,2013-01-18,2013-01-19,0,0,1116,1,0,0 +7119,jeramiah baxter,jeramiah,baxter,2013-08-15,Male,1992-05-26,23,Less than 25,African-American,0,5,0,0,3,0,2013-08-15 01:53:22,2013-08-21 08:27:53,13015466MM10A,2013-08-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-15,Risk of Violence,6,Medium,2013-08-15,2013-08-15,2013-08-21,3,6,960,0,0,0 +7120,brian wheeler,brian,wheeler,2013-02-05,Male,1962-02-10,54,Greater than 45,Caucasian,0,4,0,0,2,-29,2013-01-07 01:25:56,2013-02-05 11:05:26,13000241CF10A,,2013-01-07,29,F,arrest case no charge,1,13014961CF10A,(F3),1,2013-10-25,Burglary Conveyance Unoccup,2013-10-26,2013-12-05,,1,15012924CF10A,(F3),2015-10-05,Aggravated Assault W/Dead Weap,Risk of Recidivism,4,Low,2013-02-05,Risk of Violence,2,Low,2013-02-05,2013-10-26,2013-12-05,2,0,262,1,1,1 +7121,samih debbik,samih,debbik,2013-04-04,Male,1975-06-07,40,25 - 45,Asian,0,1,0,0,0,-1,2013-04-03 04:56:38,2013-04-23 03:20:28,13004784CF10A,2013-04-03,,1,F,Delivery Of Drug Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,2013-04-03,2013-04-23,0,19,1093,0,0,0 +7123,shane coombs,shane,coombs,2014-01-16,Male,1988-06-03,27,25 - 45,African-American,0,2,0,0,0,-1,2014-01-15 06:44:59,2014-01-16 08:03:23,14000753MM10A,2014-01-15,,1,M,Battery,1,15008080CF10A,(F2),120,2015-04-10,Aggravated Battery / Pregnant,2015-08-08,2015-08-09,,1,15008080CF10A,(F2),2015-04-10,Aggravated Battery / Pregnant,Risk of Recidivism,2,Low,2014-01-16,Risk of Violence,3,Low,2014-01-16,2015-10-02,2015-10-10,0,0,449,1,1,1 +7124,john masselli,john,masselli,2013-06-28,Male,1979-04-28,36,25 - 45,Caucasian,0,1,0,0,4,85,2013-09-21 12:09:15,2013-10-03 06:25:33,13007937MM10A,2013-02-22,,126,M,Theft,1,13014099CF10A,(F3),0,2013-10-08,Corrupt Public Servant,2013-10-08,2014-05-22,,1,13014099CF10A,(F3),2013-10-08,Battery on Law Enforc Officer,Risk of Recidivism,1,Low,2013-06-28,Risk of Violence,1,Low,2013-06-28,2013-09-21,2013-10-03,4,0,85,0,1,1 +7125,erika isaac,erika,isaac,2013-03-18,Female,1986-06-03,29,25 - 45,African-American,0,7,0,0,5,0,2013-03-18 02:41:56,2013-03-19 07:45:36,13003935CF10A,2013-03-17,,1,F,Felony Battery (Dom Strang),1,16002633CF10A,(M1),0,2016-03-01,,2016-03-01,2016-03-02,,0,,,,,Risk of Recidivism,7,Medium,2013-03-18,Risk of Violence,3,Low,2013-03-18,2016-03-01,2016-03-02,5,1,1079,1,0,0 +7126,marilyn menendez,marilyn,menendez,2014-03-30,Female,1971-04-15,45,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-29 09:57:52,2014-03-30 08:36:23,14005437MM10A,2014-03-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-03-29,2014-03-30,0,0,733,0,0,0 +7127,larry dieuveut,larry,dieuveut,2013-05-21,Male,1991-02-27,25,25 - 45,Other,0,6,0,0,2,-1,2013-05-20 03:24:37,2013-07-23 09:26:20,13009725MM10A,2013-05-20,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-21,Risk of Violence,6,Medium,2013-05-21,2013-05-20,2013-07-23,2,63,1046,0,0,0 +7130,daniel maiani,daniel,maiani,2013-11-12,Male,1975-12-07,40,25 - 45,Caucasian,0,3,0,0,4,-1,2013-11-11 01:20:20,2013-12-14 05:53:08,13015675CF10A,2013-11-11,,1,F,Tamper With Witness/Victim/CI,1,15002142MM10A,(M1),0,2015-02-21,Battery,2015-02-21,2015-02-22,,1,15002142MM10A,(M1),2015-02-21,Battery,Risk of Recidivism,3,Low,2013-11-12,Risk of Violence,5,Medium,2013-11-12,2015-02-21,2015-02-22,4,32,466,1,1,1 +7131,joel curtis,joel,curtis,2013-08-25,Male,1977-11-27,38,25 - 45,African-American,0,4,0,0,7,-1,2013-08-24 08:32:05,2013-08-31 06:13:17,13006858CF10A,,2013-08-24,1,F,arrest case no charge,1,14011159CF10A,(F3),81,2014-06-16,Child Abuse,2014-09-05,2014-09-06,,1,14011159CF10A,(F3),2014-06-16,Child Abuse,Risk of Recidivism,4,Low,2013-08-25,Risk of Violence,4,Low,2013-08-25,2013-11-05,2013-11-20,7,6,72,0,1,1 +7132,clee farr,clee,farr,2013-02-08,Male,1955-12-22,60,Greater than 45,Caucasian,0,-1,0,0,0,-1,2013-02-07 09:00:40,2013-02-08 08:10:45,13001918CF10A,2013-02-07,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,-1,N/A,2013-02-08,Risk of Violence,5,Medium,2013-02-08,2013-02-07,2013-02-08,0,0,1148,0,0,0 +7135,robert allegretti,robert,allegretti,2013-07-10,Male,1958-07-07,57,Greater than 45,Caucasian,0,4,0,0,3,-176,2013-01-15 11:20:48,2013-02-15 09:33:26,13000708CF10A,2013-01-15,,176,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-10,Risk of Violence,2,Low,2013-07-10,2013-01-15,2013-02-15,3,0,996,0,0,0 +7136,lashaver willis,lashaver,willis,2014-06-24,Male,1989-05-11,26,25 - 45,African-American,0,10,0,0,3,0,2014-06-24 01:15:54,2014-07-07 08:48:40,14008695CF10A,2014-06-24,,0,F,Burglary Unoccupied Dwelling,1,14011074CF10A,(F3),0,2014-08-13,Aggravated Assault W/Dead Weap,2014-08-13,2014-09-11,,1,14011074CF10A,(F3),2014-08-13,Aggravated Assault W/Dead Weap,Risk of Recidivism,10,High,2014-06-24,Risk of Violence,8,High,2014-06-24,2014-08-13,2014-09-11,3,13,50,1,1,1 +7139,iffanise fleurinord,iffanise,fleurinord,2013-06-19,Female,1978-07-15,37,25 - 45,African-American,0,1,0,0,0,-1,2013-06-18 04:05:52,2013-06-19 10:46:07,13008618CF10A,2013-06-18,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-19,Risk of Violence,1,Low,2013-06-19,2013-06-18,2013-06-19,0,0,1017,0,0,0 +7141,edgar puglia,edgar,puglia,2014-03-19,Male,1975-03-25,41,25 - 45,Caucasian,0,1,0,0,1,-1,2014-03-18 09:24:52,2014-03-19 10:49:59,14003804CF10A,2014-03-18,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-19,Risk of Violence,1,Low,2014-03-19,2014-03-18,2014-03-19,1,0,744,0,0,0 +7142,ruth pichonot,ruth,pichonot,2013-11-22,Female,1982-05-17,33,25 - 45,Other,0,2,0,0,0,-1,2013-11-21 10:18:43,2013-11-22 03:53:50,13016164CF10A,2013-11-21,,1,F,Poss Unlaw Issue Driver Licenc,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-22,Risk of Violence,1,Low,2013-11-22,2015-01-11,2015-03-07,0,0,415,0,0,0 +7143,emmet sands,emmet,sands,2013-02-07,Male,1959-03-24,57,Greater than 45,African-American,0,1,0,0,1,-1,2013-02-06 04:49:40,2013-02-07 09:30:56,13001120CF10A,,2013-02-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2013-02-06,2013-02-07,1,0,1149,0,0,0 +7144,james capers,james,capers,2013-02-09,Male,1982-02-08,34,25 - 45,African-American,0,9,0,0,3,-1,2013-02-08 07:06:22,2013-02-09 08:16:30,10047214TC10A,,2013-02-08,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-09,Risk of Violence,7,Medium,2013-02-09,2016-01-12,2016-01-13,3,0,1067,0,0,0 +7145,stanley mccray,stanley,mccray,2013-05-25,Male,1986-07-09,29,25 - 45,African-American,0,4,0,0,1,-1,2013-05-24 04:41:00,2013-05-25 07:37:19,13007426CF10A,2013-05-24,,1,F,"Poss3,4 Methylenedioxymethcath",1,14011594MM10A,(M1),,2014-04-27,Battery,,,,1,14011594MM10A,(M1),2014-04-27,Battery,Risk of Recidivism,4,Low,2013-05-25,Risk of Violence,5,Medium,2013-05-25,2013-05-24,2013-05-25,1,0,337,1,1,1 +7148,james morales,james,morales,2013-01-28,Male,1970-10-16,45,Greater than 45,Hispanic,0,7,0,0,8,0,2013-01-28 01:23:09,2013-01-29 04:24:47,13001375CF10A,2013-01-27,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-28,Risk of Violence,5,Medium,2013-01-28,2013-01-28,2013-01-29,8,1,1159,0,0,0 +7149,joshua morla,joshua,morla,2013-01-25,Male,1993-06-04,22,Less than 25,Caucasian,0,4,0,0,1,-8,2013-01-17 01:03:08,2013-01-25 10:04:05,13000789CF10A,2013-01-16,,9,F,Aggravated Assault w/Firearm,1,15011185TC40A,(M2),,2015-02-16,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-25,Risk of Violence,5,Medium,2013-01-25,2013-05-31,2013-06-11,1,0,126,0,0,0 +7153,jalandon love,jalandon,love,2014-02-15,Male,1994-10-08,21,Less than 25,African-American,0,4,0,0,0,-1,2014-02-14 08:57:29,2014-03-31 09:03:31,14002622MM10A,2014-02-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-15,Risk of Violence,6,Medium,2014-02-15,2014-02-14,2014-03-31,0,44,776,0,0,0 +7154,james cantwell,james,cantwell,2013-02-03,Male,1959-11-05,56,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-02-02 06:39:31,2013-02-03 07:26:51,13002383MM10A,2013-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-03,Risk of Violence,1,Low,2013-02-03,2013-02-02,2013-02-03,1,0,1153,0,0,0 +7156,derek joy,derek,joy,2013-01-04,Male,1967-11-17,48,Greater than 45,African-American,0,3,0,0,4,-1,2013-01-03 07:50:37,2013-01-04 06:15:54,13000134CF10A,2013-01-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-01-03,2013-01-04,4,0,1183,0,0,0 +7157,albeiro munoz,albeiro,munoz,2014-03-09,Male,1988-07-10,27,25 - 45,Hispanic,0,2,0,0,1,-1,2014-03-08 05:10:54,2014-03-09 10:11:30,14004039MM10A,2014-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-09,Risk of Violence,2,Low,2014-03-09,2014-03-08,2014-03-09,1,0,754,0,0,0 +7159,matthew rodriguez,matthew,rodriguez,2013-09-24,Male,1981-12-28,34,25 - 45,Hispanic,0,2,0,0,1,-1,2013-09-23 08:44:05,2013-09-27 09:07:34,13013387CF10A,2013-09-23,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-24,Risk of Violence,2,Low,2013-09-24,2014-09-17,2014-11-07,1,3,358,0,0,0 +7163,jason hicks,jason,hicks,2013-01-27,Male,1982-10-04,33,25 - 45,African-American,0,3,1,0,6,-1,2013-01-26 11:35:43,2013-01-28 08:41:00,13003947TC10A,,2013-01-26,1,M,arrest case no charge,1,14009256MM10A,(M1),0,2014-06-11,Battery,2014-06-11,2014-06-13,,1,14009256MM10A,(M1),2014-06-11,Battery,Risk of Recidivism,3,Low,2013-01-27,Risk of Violence,3,Low,2013-01-27,2014-06-11,2014-06-13,6,1,500,1,1,1 +7164,doriano dalessandro,doriano,dalessandro,2013-03-30,Male,1957-07-26,58,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-03-29 11:57:12,2013-03-31 03:36:36,04000079CF10A,2004-01-01,,3376,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-30,Risk of Violence,1,Low,2013-03-30,2013-03-29,2013-03-31,1,1,1098,0,0,0 +7166,brandy jones,brandy,jones,2013-07-22,Female,1982-07-15,33,25 - 45,African-American,0,5,0,0,1,-3,2013-07-19 06:23:11,2013-07-20 01:49:29,13010176CF10A,2013-07-19,,3,F,Fail To Redeliv Hire/Leas Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-22,Risk of Violence,2,Low,2013-07-22,2013-07-19,2013-07-20,1,0,984,0,0,0 +7167,sandra victorremedor,sandra,victorremedor,2013-01-28,Female,1975-08-16,40,25 - 45,African-American,0,5,0,0,2,-1,2013-01-27 08:40:41,2013-05-08 05:42:39,13001926MM10A,2013-01-27,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-05-08,2,100,1159,0,0,0 +7170,tyler ashton,tyler,ashton,2013-02-19,Male,1994-03-16,22,Less than 25,Caucasian,0,5,0,0,0,0,2013-02-19 03:51:56,2013-02-20 03:44:09,13002518CF10A,2013-02-19,,0,F,Possession of Cocaine,1,15011112CF10A,(F3),,2015-07-24,False Ownership Info/Pawn Item,,,,1,15010547CF10A,(F3),2015-08-15,Attempted Robbery No Weapon,Risk of Recidivism,5,Medium,2013-02-19,Risk of Violence,6,Medium,2013-02-19,2013-02-19,2013-02-20,0,1,885,1,0,0 +7171,brian pearson,brian,pearson,2013-03-15,Male,1976-09-18,39,25 - 45,Caucasian,0,3,0,0,2,-1,2013-03-14 05:07:03,2013-03-22 09:45:55,13003382CF10A,,2013-03-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2014-07-01,2014-07-16,2,7,473,0,0,0 +7173,ketchmarken sainthilaire,ketchmarken,sainthilaire,2014-03-31,Male,1986-01-05,30,25 - 45,Other,0,8,0,0,2,,,,09001262CF10A,2009-01-21,,1895,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-31,Risk of Violence,4,Low,2014-03-31,,,2,0,732,0,0,0 +7175,annquinette rucker,annquinette,rucker,2013-05-29,Female,1992-05-22,23,Less than 25,African-American,0,8,0,0,3,-37,2013-04-22 09:47:57,2013-05-29 10:09:04,13005732CF10A,2013-04-22,,37,F,Burglary Conveyance Unoccup,1,16002624CF10A,(F3),0,2016-03-01,,2016-03-01,2016-03-02,,0,,,,,Risk of Recidivism,8,High,2013-05-29,Risk of Violence,7,Medium,2013-05-29,2013-12-02,2014-02-14,3,0,187,0,0,0 +7176,randy pearson,randy,pearson,2013-05-27,Male,1981-02-06,35,25 - 45,Caucasian,0,1,0,1,1,0,2013-05-27 12:28:20,2013-05-27 12:40:41,13007513CF10A,2013-05-26,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-27,2013-05-27,1,0,1040,0,0,0 +7177,luis caro,luis,caro,2013-05-07,Male,1994-02-10,22,Less than 25,Hispanic,0,2,0,0,0,-1,2013-05-06 07:58:25,2013-05-07 07:41:29,13019327TC10A,2013-05-06,,1,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-07,Risk of Violence,5,Medium,2013-05-07,2013-05-06,2013-05-07,0,0,1060,0,0,0 +7180,alex esteves,alex,esteves,2013-08-10,Male,1979-01-12,37,25 - 45,Hispanic,0,4,0,0,4,-1,2013-08-09 11:34:29,2013-08-10 06:58:49,13011212CF10A,2013-08-09,,1,M,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-10,Risk of Violence,3,Low,2013-08-10,2013-08-09,2013-08-10,4,0,965,0,0,0 +7183,charles dean,charles,dean,2014-02-12,Male,1977-10-10,38,25 - 45,African-American,1,8,0,4,14,,,,07012379CF10A,,2011-07-25,933,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-12,Risk of Violence,4,Low,2014-02-12,,,14,0,779,0,0,0 +7185,pablo martinez,pablo,martinez,2014-03-30,Male,1956-03-02,60,Greater than 45,Hispanic,0,4,0,0,0,-1,2014-03-29 08:36:56,2014-03-30 07:53:26,14004434CF10A,2014-03-29,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-03-29,2014-03-30,0,0,733,0,0,0 +7186,lina scalisi,lina,scalisi,2014-01-23,Female,1977-01-28,39,25 - 45,Caucasian,0,4,0,0,1,-1,2014-01-22 01:55:59,2014-01-29 08:33:18,13017791CF10A,,2014-01-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-23,Risk of Violence,4,Low,2014-01-23,2014-01-22,2014-01-29,1,6,799,0,0,0 +7188,jimmie harrold,jimmie,harrold,2013-05-30,Male,1990-07-11,25,25 - 45,African-American,0,4,0,0,1,,,,12018968MO10A,,2012-12-16,165,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-30,Risk of Violence,3,Low,2013-05-30,2015-06-04,2016-01-24,1,0,735,0,0,0 +7192,ina youngbell,ina,youngbell,2013-04-19,Female,1945-10-24,70,Greater than 45,Other,0,1,0,0,0,-1,2013-04-18 08:51:08,2013-04-19 08:09:20,13005558CF10A,2013-04-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-19,Risk of Violence,1,Low,2013-04-19,2013-04-18,2013-04-19,0,0,1078,0,0,0 +7196,derrick jackson,derrick,jackson,2013-08-13,Male,1962-07-17,53,Greater than 45,African-American,0,2,0,0,6,-1,2013-08-12 09:25:09,2013-08-13 08:16:30,13009117CF10A,,2013-08-12,1,F,arrest case no charge,1,15004500MM40A,(M2),139,2015-10-30,Solicit ProstitutionViolation,2016-03-17,2016-03-18,,0,,,,,Risk of Recidivism,2,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,2016-03-17,2016-03-18,6,0,808,1,0,0 +7197,edgard rojas,edgard,rojas,2013-03-05,Male,1979-03-21,37,25 - 45,Caucasian,0,6,0,0,0,-5,2013-02-28 08:59:51,2013-03-01 08:05:40,13003067CF10A,2013-02-28,,5,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-05,Risk of Violence,3,Low,2013-03-05,2013-12-18,2014-01-08,0,0,288,0,0,0 +7199,justin bates,justin,bates,2013-10-28,Male,1988-01-07,28,25 - 45,African-American,0,6,0,0,1,-1,2013-10-27 07:38:34,2013-10-28 07:32:59,13015018CF10A,2013-10-27,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-28,Risk of Violence,4,Low,2013-10-28,2013-10-27,2013-10-28,1,0,886,0,0,0 +7200,johnny borden,johnny,borden,2013-02-20,Male,1994-06-27,21,Less than 25,African-American,0,6,0,0,1,-1,2013-02-19 10:55:43,2013-07-26 05:37:05,13002156CF10A,,2013-02-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-20,Risk of Violence,7,Medium,2013-02-20,2013-02-19,2013-07-26,1,156,1136,0,0,0 +7202,yarvis mcclemore,yarvis,mcclemore,2013-09-11,Male,1984-01-05,32,25 - 45,African-American,0,10,0,0,2,,,,09013778CF10A,,2010-05-20,1210,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-11,Risk of Violence,10,High,2013-09-11,2007-07-31,2009-02-13,2,0,933,0,0,0 +7203,paul fraser,paul,fraser,2013-05-01,Male,1959-09-15,56,Greater than 45,African-American,0,1,0,0,0,-1,2013-04-30 10:09:35,2013-05-06 09:12:18,13006284CF10A,2013-04-30,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-04-30,2013-05-06,0,5,1066,0,0,0 +7204,robert rall,robert,rall,2014-03-09,Male,1985-11-20,30,25 - 45,Caucasian,0,3,0,0,3,-1,2014-03-08 08:19:22,2014-03-09 10:12:02,14004020MM10A,2014-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-09,Risk of Violence,2,Low,2014-03-09,2014-03-08,2014-03-09,3,0,754,0,0,0 +7210,ian ford,ian,ford,2013-02-02,Male,1988-08-07,27,25 - 45,African-American,0,8,0,0,1,-1,2013-02-01 03:25:36,2013-02-03 02:50:32,13001621CF10A,2013-02-01,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-02,Risk of Violence,9,High,2013-02-02,2015-12-30,2020-01-01,1,1,1061,0,0,0 +7211,troy holaway,troy,holaway,2013-10-31,Male,1974-12-03,41,25 - 45,African-American,0,7,0,1,7,0,2013-10-31 01:40:09,2013-11-01 09:24:26,13020561MM10A,2013-10-30,,1,M,Battery,1,14002548MM10A,(M1),0,2014-02-13,Viol Pretrial Release Dom Viol,2014-02-13,2014-02-21,,1,15006834CF10A,(F7),2015-05-25,Burglary Dwelling Assault/Batt,Risk of Recidivism,7,Medium,2013-10-31,Risk of Violence,3,Low,2013-10-31,2014-02-13,2014-02-21,7,1,105,1,1,1 +7216,raymond mcclame,raymond,mcclame,2014-03-04,Male,1983-11-15,32,25 - 45,African-American,0,8,1,3,7,-1,2014-03-03 10:36:05,2014-03-04 09:24:02,14004519CF10A,2014-03-03,,1,F,Felony Battery w/Prior Convict,1,14014639MM10A,(M1),0,2014-10-05,Resist/Obstruct W/O Violence,2014-10-05,2014-10-06,,1,15012685CF10A,(F3),2015-09-07,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2014-03-04,Risk of Violence,6,Medium,2014-03-04,2014-04-17,2014-04-18,7,0,44,0,1,1 +7217,phillip marks,phillip,marks,2014-02-26,Male,1989-10-14,26,25 - 45,Caucasian,0,5,0,0,7,-126,2013-10-23 03:44:15,2013-10-24 05:09:27,13013931CF10A,,2013-10-23,126,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-26,Risk of Violence,3,Low,2014-02-26,2013-10-23,2013-10-24,7,0,765,0,0,0 +7218,james pierrelouis,james,pierrelouis,2013-02-20,Male,1984-09-25,31,25 - 45,African-American,0,4,0,0,0,,,,13003590MM10A,2013-02-20,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-20,Risk of Violence,2,Low,2013-02-20,,,0,0,1136,0,0,0 +7219,marlon mcdonald,marlon,mcdonald,2013-04-01,Male,1983-10-13,32,25 - 45,African-American,0,4,0,0,3,-1,2013-03-31 05:22:21,2013-04-01 02:19:01,13004632CF10A,2013-03-31,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-01,Risk of Violence,5,Medium,2013-04-01,2015-05-04,2015-06-25,3,0,763,0,0,0 +7223,howard hendricks,howard,hendricks,2013-05-13,Male,1970-03-10,46,Greater than 45,African-American,0,1,0,0,3,-1,2013-05-12 09:38:38,2013-05-14 08:29:03,13006803CF10A,2013-05-12,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-14,3,1,1054,0,0,0 +7224,nicholas simmons,nicholas,simmons,2014-08-25,Male,1991-10-10,24,Less than 25,African-American,0,3,0,0,1,-1,2014-08-24 05:19:36,2014-08-25 01:11:27,14011556CF10A,2014-08-24,,1,F,Felony Battery (Dom Strang),1,15046966TC40A,(M2),,2015-08-10,Susp Drivers Lic 1st Offense,,,,1,15013304CF10A,(M1),2015-10-14,Battery,Risk of Recidivism,3,Low,2014-08-25,Risk of Violence,3,Low,2014-08-25,2016-02-15,2016-02-16,1,0,350,1,1,1 +7227,jorge gamboa,jorge,gamboa,2013-11-23,Male,1965-08-20,50,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-11-22 07:53:52,2013-12-04 05:08:47,13016241CF10A,2013-11-22,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-23,Risk of Violence,1,Low,2013-11-23,2013-11-22,2013-12-04,3,11,860,0,0,0 +7231,wilfred conille,wilfred,conille,2013-05-24,Male,1979-04-05,37,25 - 45,African-American,0,7,0,0,3,-1,2013-05-23 12:12:34,2013-05-24 08:38:00,13009933MM10A,2013-05-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-24,Risk of Violence,3,Low,2013-05-24,2013-05-23,2013-05-24,3,0,1043,0,0,0 +7234,leonardo mendez,leonardo,mendez,2014-02-25,Male,1978-06-12,37,25 - 45,Hispanic,0,5,0,0,1,0,2014-02-25 04:14:02,2014-02-27 02:35:00,14002651CF10A,2014-02-25,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-25,Risk of Violence,1,Low,2014-02-25,2014-02-25,2014-02-27,1,2,766,0,0,0 +7235,joseph pegnatore,joseph,pegnatore,2013-05-15,Male,1994-11-05,21,Less than 25,Caucasian,0,6,0,0,1,-43,2013-04-02 12:51:03,2013-04-29 10:21:07,13004725CF10A,2013-04-02,,43,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-15,Risk of Violence,9,High,2013-05-15,2014-03-07,2014-03-16,1,0,296,0,0,0 +7236,miguel morales,miguel,morales,2013-08-05,Male,1940-09-29,75,Greater than 45,Hispanic,0,1,0,0,1,-112,2013-04-15 07:19:51,2013-07-26 08:45:38,13005467CF10A,,2013-04-16,111,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2013-04-15,2013-07-26,1,0,970,0,0,0 +7237,john sarver,john,sarver,2014-01-10,Male,1975-04-28,40,25 - 45,Caucasian,0,4,0,0,3,0,2014-01-10 02:56:51,2014-02-19 11:13:51,14001418MU10A,2014-01-10,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-10,Risk of Violence,3,Low,2014-01-10,2014-01-10,2014-02-19,3,40,812,0,0,0 +7238,mildred jordan,mildred,jordan,2013-01-18,Female,1962-11-20,53,Greater than 45,Caucasian,0,1,0,0,0,0,2013-01-18 04:05:07,2013-01-18 08:05:05,13001298MM10A,2013-01-17,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-18,2013-01-18,0,0,1169,0,0,0 +7240,robert armstrong,robert,armstrong,2014-03-23,Male,1982-09-21,33,25 - 45,African-American,0,3,0,0,4,-1,2014-03-22 02:06:49,2014-03-23 09:32:47,14005014MM10A,2014-03-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-23,4,0,740,0,0,0 +7242,alexis carty,alexis,carty,2013-10-07,Female,1994-01-16,22,Less than 25,African-American,0,4,0,0,0,-1,2013-10-06 01:06:40,2013-10-07 08:44:19,13018987MM10A,2013-10-05,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,5,Medium,2013-10-07,2013-10-06,2013-10-07,0,0,907,0,0,0 +7245,shantrill lanier,shantrill,lanier,2013-09-12,Male,1990-10-18,25,25 - 45,African-American,0,8,0,0,5,-1,2013-09-11 10:12:35,2013-09-15 03:38:22,13017315MM10A,2013-09-11,,1,M,Battery,1,13015774CF10A,(F2),0,2013-11-13,Burglary Unoccupied Dwelling,2013-11-13,2013-12-28,,1,15007310MM10A,(M1),2015-04-30,Battery,Risk of Recidivism,8,High,2013-09-12,Risk of Violence,6,Medium,2013-09-12,2013-11-13,2013-12-28,5,3,62,1,1,1 +7246,christopher vanburen,christopher,vanburen,2013-09-12,Male,1991-09-10,24,Less than 25,Caucasian,0,2,0,0,2,-1,2013-09-11 05:34:21,2013-09-12 08:29:00,13012869CF10A,,2013-09-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-12,Risk of Violence,4,Low,2013-09-12,2013-09-11,2013-09-12,2,0,932,0,0,0 +7249,windeline rosume,windeline,rosume,2013-02-09,Female,1989-09-11,26,25 - 45,African-American,0,7,0,0,1,0,2013-02-09 04:50:20,2013-02-11 05:17:53,13002015CF10A,,2013-02-09,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-09,Risk of Violence,6,Medium,2013-02-09,2013-02-09,2013-02-11,1,2,1147,0,0,0 +7250,james woodfork,james,woodfork,2013-02-28,Male,1959-11-11,56,Greater than 45,African-American,0,4,0,0,9,,,,12012959CF10A,,2012-09-03,178,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-28,Risk of Violence,2,Low,2013-02-28,1995-07-20,2000-11-01,9,0,1128,0,0,0 +7257,tiberio rapisarda,tiberio,rapisarda,2013-12-15,Male,1991-08-21,24,Less than 25,Caucasian,0,3,0,0,1,-1,2013-12-14 08:26:15,2013-12-15 09:06:30,13017282CF10A,2013-12-14,,1,F,Pos Cannabis W/Intent Sel/Del,1,14003842CF10A,(F7),,2014-01-09,Burglary Dwelling Assault/Batt,,,,1,14003842CF10A,(F7),2014-01-09,Burglary Dwelling Assault/Batt,Risk of Recidivism,3,Low,2013-12-15,Risk of Violence,4,Low,2013-12-15,2014-01-12,2014-01-13,1,0,25,1,1,1 +7259,courtney harbison,courtney,harbison,2013-11-21,Male,1989-12-07,26,25 - 45,Caucasian,0,5,0,0,5,-1,2013-11-20 12:21:01,2013-11-26 05:30:07,13021823MM10A,2013-11-20,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-21,Risk of Violence,6,Medium,2013-11-21,2013-11-20,2013-11-26,5,5,862,0,0,0 +7263,terry flowers,terry,flowers,2013-01-18,Male,1950-06-08,65,Greater than 45,Caucasian,0,6,0,0,3,,,,09002234CF10A,,2012-07-17,185,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-18,Risk of Violence,1,Low,2013-01-18,,,3,0,1169,0,0,0 +7265,jackie kittles,jackie,kittles,2013-09-17,Male,1951-08-31,64,Greater than 45,African-American,0,6,0,0,13,-28,2013-08-20 04:49:05,2013-08-21 07:35:28,13011685CF10A,2013-08-20,,28,M,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-17,Risk of Violence,2,Low,2013-09-17,2013-08-20,2013-08-21,13,0,927,0,0,0 +7266,andrew semple,andrew,semple,2014-02-06,Male,1991-05-24,24,Less than 25,Caucasian,0,2,0,0,0,-1,2014-02-05 07:22:17,2014-02-06 09:10:58,14001639CF10A,2014-02-05,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-06,Risk of Violence,3,Low,2014-02-06,2014-08-26,2014-09-03,0,0,201,0,0,0 +7268,antonio amos,antonio,amos,2013-09-27,Male,1981-01-12,35,25 - 45,African-American,0,6,0,0,29,-101,2013-06-18 07:13:32,2013-07-20 02:29:18,13008843CF10A,2013-06-18,,101,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-27,Risk of Violence,8,High,2013-09-27,2016-03-20,2016-03-29,29,0,905,0,0,0 +7269,sharon ravitz,sharon,ravitz,2013-02-27,Female,1958-12-11,57,Greater than 45,Caucasian,0,1,0,0,0,-5,2013-02-22 09:42:37,2013-02-23 07:56:35,13003737MM10A,2013-02-22,,5,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-27,Risk of Violence,1,Low,2013-02-27,2013-02-22,2013-02-23,0,0,1129,0,0,0 +7271,lynda luck,lynda,luck,2013-05-27,Female,1969-06-04,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-26 11:07:51,2013-05-28 07:56:52,13010109MM10A,2013-05-26,,1,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-06-10,2013-06-13,0,1,14,0,0,0 +7272,daniel black,daniel,black,2013-02-17,Male,1959-09-02,56,Greater than 45,African-American,0,5,0,0,16,-1,2013-02-16 11:36:19,2013-02-17 01:39:22,13002391CF10A,2013-02-16,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-17,Risk of Violence,2,Low,2013-02-17,2014-04-24,2014-09-14,16,0,431,0,0,0 +7275,angie luti,angie,luti,2013-11-08,Female,1977-04-05,39,25 - 45,Caucasian,0,2,0,0,0,-1,2013-11-07 02:45:39,2013-11-07 09:01:07,13021012MM10A,2013-11-07,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2013-11-07,2013-11-07,0,0,875,0,0,0 +7276,wesley tole,wesley,tole,2014-02-10,Male,1947-05-15,68,Greater than 45,Caucasian,0,1,0,0,4,-1,2014-02-09 03:36:05,2014-02-20 08:48:46,14002261MM10A,2014-01-05,,36,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-09,2014-02-20,4,10,781,0,0,0 +7279,jovan larrieux,jovan,larrieux,2013-12-27,Male,1988-01-21,28,25 - 45,African-American,0,3,0,0,1,-1,2013-12-26 05:11:53,2013-12-27 08:03:01,13024021MM10A,2013-12-26,,1,M,Battery,1,15002582CF10A,(F2),155,2014-11-24,Aggravated Battery / Pregnant,2015-04-28,2015-04-29,,1,15002582CF10A,(F2),2014-11-24,Aggravated Battery / Pregnant,Risk of Recidivism,3,Low,2013-12-27,Risk of Violence,3,Low,2013-12-27,2015-10-20,2015-10-27,1,0,332,1,1,1 +7281,donald keltner,donald,keltner,2013-08-28,Male,1977-06-23,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-08-27 12:55:12,2013-08-28 10:01:11,13016410MM10A,2013-08-27,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-28,Risk of Violence,1,Low,2013-08-28,2013-08-27,2013-08-28,0,0,947,0,0,0 +7283,jeremiah young,jeremiah,young,2014-01-27,Female,1990-07-26,25,25 - 45,African-American,0,10,0,0,3,-23,2014-01-04 03:28:31,2014-01-05 08:57:38,13020661MM10A,,2014-01-04,23,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2014-01-27,Risk of Violence,8,High,2014-01-27,2014-01-04,2014-01-05,3,0,795,0,0,0 +7284,david harris,david,harris,2013-01-04,Male,1991-04-18,25,25 - 45,Caucasian,0,5,0,1,2,0,2013-01-04 12:58:41,2013-01-05 06:15:10,13000140CF10A,2013-01-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-04,Risk of Violence,4,Low,2013-01-04,2013-03-26,2013-03-28,2,1,81,0,0,0 +7286,michael hernandez,michael,hernandez,2013-03-19,Male,1985-03-07,31,25 - 45,Caucasian,0,5,0,0,2,0,2013-03-19 04:52:54,2013-04-04 08:16:47,13003980CF10A,2013-03-19,,0,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-19,Risk of Violence,5,Medium,2013-03-19,2013-03-19,2013-04-04,2,16,1109,0,0,0 +7291,jarel bynes,jarel,bynes,2013-03-26,Male,1985-01-27,31,25 - 45,African-American,0,7,0,0,2,,,,10020426CF10A,2010-11-18,,859,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,,,2,0,1102,0,0,0 +7292,kakeen thomas,kakeen,thomas,2013-03-13,Female,1980-07-09,35,25 - 45,African-American,0,8,0,0,13,0,2013-03-13 01:13:54,2013-03-15 10:13:46,13003693CF10A,2013-03-12,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-13,Risk of Violence,5,Medium,2013-03-13,2013-03-13,2013-03-15,13,2,1115,0,0,0 +7293,vincent gordon,vincent,gordon,2013-12-13,Male,1981-07-24,34,25 - 45,African-American,0,8,6,1,19,-1,2013-12-12 07:17:08,2013-12-13 09:22:13,13014771MM10A,,2013-12-12,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-13,Risk of Violence,4,Low,2013-12-13,2013-12-12,2013-12-13,19,0,840,0,0,0 +7296,robert livingston,robert,livingston,2013-03-05,Male,1958-08-22,57,Greater than 45,Other,0,1,0,0,0,-1,2013-03-04 07:27:27,2013-03-05 02:00:07,13004427MM10A,2013-03-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,1,Low,2013-03-05,2013-03-04,2013-03-05,0,0,1123,0,0,0 +7298,latonya griffin,latonya,griffin,2013-10-22,Female,1973-11-12,42,25 - 45,African-American,0,2,0,0,1,-1,2013-10-21 06:00:21,2013-10-22 01:59:31,13014714CF10A,2013-10-21,,1,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,2013-10-21,2013-10-22,1,0,892,0,0,0 +7300,james cerpa,james,cerpa,2014-03-25,Male,1991-10-03,24,Less than 25,Caucasian,0,9,0,0,1,-60,2014-01-24 10:32:35,2014-03-03 01:21:54,13004982CF10A,,2014-01-24,60,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-25,Risk of Violence,8,High,2014-03-25,2014-01-24,2014-03-03,1,0,738,0,0,0 +7302,telly thomas,telly,thomas,2014-06-07,Male,1975-01-28,41,25 - 45,African-American,1,10,1,0,24,-1,2014-06-06 07:27:50,2014-06-07 10:30:56,14007846CF10A,2014-06-06,,1,F,Possession of Cocaine,1,15005575CF10A,(F7),0,2015-04-28,Burglary Dwelling Assault/Batt,2015-04-28,2015-12-07,,1,15005575CF10A,(F7),2015-04-28,Burglary Dwelling Assault/Batt,Risk of Recidivism,10,High,2014-06-07,Risk of Violence,3,Low,2014-06-07,2014-06-19,2014-06-26,24,0,12,0,1,1 +7304,hannsataky moriaux,hannsataky,moriaux,2013-08-04,Male,1989-01-31,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-03 04:44:27,2013-08-04 07:42:20,13010872CF10A,2013-08-03,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-04,Risk of Violence,3,Low,2013-08-04,2013-08-03,2013-08-04,0,0,971,0,0,0 +7310,eid ayoub,eid,ayoub,2013-02-02,Male,1981-12-17,34,25 - 45,Caucasian,0,2,0,0,5,0,2013-02-02 03:10:41,2013-02-03 07:07:09,13001667CF10A,2013-02-02,,0,F,Possession of Cocaine,1,15007181CF10A,(F3),0,2015-06-02,Use Scanning Device to Defraud,2015-06-02,2015-11-09,,0,,,,,Risk of Recidivism,2,Low,2013-02-02,Risk of Violence,2,Low,2013-02-02,2013-12-02,2013-12-18,5,1,303,0,0,0 +7311,pedro bianchini,pedro,bianchini,2013-02-04,Male,1965-07-22,50,Greater than 45,Hispanic,0,1,0,0,0,0,2013-02-04 01:55:09,2013-02-04 10:08:08,13002557MM10A,2013-02-03,,1,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-04,2013-02-04,0,0,1152,0,0,0 +7312,alan sorto,alan,sorto,2014-04-06,Male,1990-05-02,25,25 - 45,Caucasian,0,8,1,0,6,0,2014-04-06 02:30:39,2014-04-06 07:45:48,14004746CF10A,2014-04-05,,1,F,Crim Use of Personal ID Info,1,16001768MM10A,(M1),,2016-01-11,Battery,,,,1,16001768MM10A,(M1),2016-01-11,Battery,Risk of Recidivism,8,High,2014-04-06,Risk of Violence,6,Medium,2014-04-06,2014-04-06,2014-04-06,6,0,645,1,1,1 +7316,mauricio arias,mauricio,arias,2013-01-28,Male,1976-10-24,39,25 - 45,Hispanic,0,3,0,0,2,,,,12018690MM10A,2012-09-08,,142,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,,,2,0,1159,0,0,0 +7317,kenata williams,kenata,williams,2013-01-03,Male,1988-07-25,27,25 - 45,African-American,0,7,0,0,2,-1,2013-01-02 07:07:44,2013-03-26 10:38:08,11019434CF10A,,2012-07-18,169,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-03,Risk of Violence,6,Medium,2013-01-03,2015-05-27,2015-11-01,2,82,874,0,0,0 +7318,jamesley charles,jamesley,charles,2013-05-23,Male,1991-02-06,25,25 - 45,African-American,0,3,0,0,3,,,,12015700CF10A,,2012-11-28,176,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-23,Risk of Violence,3,Low,2013-05-23,,,3,0,1044,0,0,0 +7321,carlo johnson,carlo,johnson,2013-01-31,Male,1988-12-02,27,25 - 45,African-American,0,5,0,0,0,-1,2013-01-30 08:22:40,2013-01-31 07:32:24,13001518CF10A,2013-01-30,,1,F,Uttering Forged Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-31,Risk of Violence,6,Medium,2013-01-31,2014-05-31,2014-06-05,0,0,485,0,0,0 +7324,ivan gonzalez,ivan,gonzalez,2013-01-19,Male,1985-10-07,30,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-18 08:26:44,2013-01-19 01:18:54,13000868CF10A,2013-01-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-19,Risk of Violence,2,Low,2013-01-19,2013-01-18,2013-01-19,0,0,1168,0,0,0 +7326,joshua oliver,joshua,oliver,2013-02-02,Male,1992-03-04,24,Less than 25,African-American,0,8,0,0,3,-1,2013-02-01 11:43:49,2013-04-18 07:00:00,13001604CF10A,2013-02-01,,1,F,Pos Cannabis W/Intent Sel/Del,1,16000485MM30A,(M1),,2016-03-16,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,8,High,2013-02-02,Risk of Violence,7,Medium,2013-02-02,2014-04-23,2014-05-06,3,75,445,0,0,0 +7327,carlos walker,carlos,walker,2013-05-12,Male,1977-03-18,39,25 - 45,African-American,0,1,0,0,0,-1,2013-05-11 03:06:34,2013-05-12 07:30:59,13009117MM10A,2013-05-11,,1,M,Assault,1,15015990CF10A,(F3),,2015-12-14,Aggravated Assault W/Dead Weap,,,,1,15015990CF10A,(F3),2015-12-14,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2013-05-12,Risk of Violence,1,Low,2013-05-12,2015-12-15,2015-12-16,0,0,946,1,0,0 +7328,lamar mccullough,lamar,mccullough,2013-05-25,Male,1984-04-18,32,25 - 45,African-American,0,6,0,0,6,55,2013-07-19 11:55:28,2013-08-23 04:43:22,12008652CF10A,2012-06-12,,347,F,Possession of Cannabis,1,13016062MM10A,(M1),0,2013-07-19,Resist/Obstruct W/O Violence,2013-07-19,2013-08-23,,1,13010150CF10A,(F1),2013-07-19,Burglary With Assault/battery,Risk of Recidivism,6,Medium,2013-05-25,Risk of Violence,4,Low,2013-05-25,2013-07-19,2013-08-23,6,0,55,1,1,1 +7334,antonio philmore,antonio,philmore,2013-03-01,Male,1989-12-15,26,25 - 45,African-American,0,10,1,0,24,0,2013-03-01 01:25:58,2013-03-01 08:28:35,13003052CF10A,2013-02-28,,1,F,Driving While License Revoked,1,14007346CF10A,(F3),0,2014-05-27,Driving While License Revoked,2014-05-27,2014-05-28,,1,15003134CF10A,(F3),2015-03-07,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2013-03-01,Risk of Violence,7,Medium,2013-03-01,2013-10-10,2013-10-16,24,0,223,0,1,1 +7337,kenauld chevelon,kenauld,chevelon,2013-02-02,Male,1985-11-13,30,25 - 45,Other,0,1,0,0,2,-1,2013-02-01 07:57:47,2013-02-02 08:53:50,13001613CF10A,,2013-02-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-02,Risk of Violence,2,Low,2013-02-02,2013-02-01,2013-02-02,2,0,1154,0,0,0 +7338,kerome paisley,kerome,paisley,2013-12-05,Male,1995-07-05,20,Less than 25,African-American,1,10,1,1,4,14,2013-12-19 04:03:39,2014-12-30 06:19:19,13010552CF10A,2013-07-23,,135,F,Grand Theft in the 3rd Degree,1,13017503CF10A,(F2),1,2013-12-18,Grand Theft of the 2nd Degree,2013-12-19,2014-12-30,,1,13017503CF10A,(F2),2013-12-18,Agg Assault Law Enforc Officer,Risk of Recidivism,10,High,2013-12-05,Risk of Violence,7,Medium,2013-12-05,2014-12-30,2020-01-01,4,0,13,1,1,1 +7343,ryan shields,ryan,shields,2013-03-20,Male,1991-03-27,25,25 - 45,Caucasian,0,3,0,0,0,-1,2013-03-19 04:15:00,2013-03-20 07:31:24,13004001CF10A,2013-03-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-20,Risk of Violence,4,Low,2013-03-20,2016-02-11,2016-04-09,0,0,1058,0,0,0 +7344,chamoy wright,chamoy,wright,2013-02-11,Male,1990-07-19,25,25 - 45,African-American,0,5,0,0,2,-1,2013-02-10 03:23:16,2013-02-11 07:27:53,13002070CF10A,2013-02-10,,1,F,Crimin Mischief Damage $1000+,1,13009112CF10A,(F2),136,2013-05-17,Shoot/Throw Into Vehicle,2013-09-30,2013-10-01,,1,13009112CF10A,(F2),2013-05-17,Shoot/Throw Into Vehicle,Risk of Recidivism,5,Medium,2013-02-11,Risk of Violence,5,Medium,2013-02-11,2013-09-30,2013-10-01,2,0,95,1,1,1 +7347,janey martin,janey,martin,2013-08-22,Female,1990-05-03,25,25 - 45,African-American,0,7,0,0,0,-1,2013-08-21 05:03:37,2013-08-26 08:41:40,13011728CF10A,2013-08-21,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-22,Risk of Violence,5,Medium,2013-08-22,2013-08-21,2013-08-26,0,4,953,0,0,0 +7348,rashidi lee,rashidi,lee,2013-03-28,Male,1977-10-11,38,25 - 45,African-American,0,2,0,0,0,0,2013-03-28 01:18:25,2013-03-29 03:48:52,13005982MM10A,2013-03-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-28,2013-03-29,0,1,1100,0,0,0 +7351,francisco jimenezpagan,francisco,jimenezpagan,2013-09-22,Male,1976-03-01,40,25 - 45,Hispanic,0,5,0,0,0,0,2013-09-22 03:48:15,2013-11-26 01:12:39,13013360CF10A,2013-09-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-22,Risk of Violence,1,Low,2013-09-22,2013-09-22,2013-11-26,0,65,922,0,0,0 +7354,debra tripp,debra,tripp,2013-10-30,Female,1967-04-15,49,Greater than 45,Caucasian,0,2,0,0,4,-1,2013-10-29 05:20:32,2013-11-02 02:40:16,13020469MM10A,2013-10-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,2013-10-29,2013-11-02,4,3,884,0,0,0 +7355,melissa becker,melissa,becker,2013-08-05,Female,1980-04-23,35,25 - 45,Caucasian,0,3,0,0,2,-3,2013-08-02 11:15:20,2013-08-04 08:22:38,13014709MM10A,2013-08-02,,3,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-05,Risk of Violence,1,Low,2013-08-05,2013-09-18,2013-10-01,2,0,44,0,0,0 +7358,shanairj mckenziewallace,shanairj,mckenziewallace,2013-12-20,Male,1990-11-11,25,25 - 45,Other,0,4,0,0,0,-1,2013-12-19 11:03:21,2013-12-21 04:28:19,13017513CF10A,2013-12-19,,1,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-20,Risk of Violence,3,Low,2013-12-20,2013-12-19,2013-12-21,0,1,833,0,0,0 +7359,rafael guerrero,rafael,guerrero,2013-12-25,Male,1994-05-18,21,Less than 25,Caucasian,0,4,0,0,1,-1,2013-12-24 03:45:52,2013-12-25 02:37:17,13017762CF10A,2013-12-24,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-25,Risk of Violence,6,Medium,2013-12-25,2014-10-29,2014-11-17,1,0,308,0,0,0 +7360,alyza russell,alyza,russell,2013-10-07,Female,1991-04-25,24,Less than 25,Caucasian,0,4,0,0,2,-96,2013-07-03 07:12:06,2013-07-06 02:55:40,13009518CF10A,,2013-07-03,96,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,3,Low,2013-10-07,2013-07-03,2013-07-06,2,0,907,0,0,0 +7361,oscar martinez,oscar,martinez,2013-04-30,Male,1970-07-28,45,Greater than 45,Hispanic,0,3,0,0,1,,,,09010005CF10A,,2012-03-02,424,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-30,Risk of Violence,3,Low,2013-04-30,,,1,0,1067,0,0,0 +7365,shalev roae,shalev,roae,2013-05-22,Male,1987-06-28,28,25 - 45,Caucasian,0,3,0,0,3,-1,2013-05-21 07:48:21,2013-07-11 02:10:57,13007266CF10A,2013-05-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-22,Risk of Violence,2,Low,2013-05-22,2013-05-21,2013-07-11,3,50,1045,0,0,0 +7368,jaime forte,jaime,forte,2013-01-30,Female,1982-03-04,34,25 - 45,African-American,0,9,0,0,1,148,2013-06-27 04:22:40,2013-07-18 11:55:00,06015054MM10A,2006-08-01,,2374,M,Unlaw Use False Name/Identity,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-30,Risk of Violence,7,Medium,2013-01-30,2013-06-27,2013-07-18,1,0,148,0,0,0 +7370,coral norfus,coral,norfus,2013-03-24,Male,1958-05-12,57,Greater than 45,African-American,0,7,0,0,8,-1,2013-03-23 07:39:14,2013-03-28 08:55:47,13005693MM10A,2013-03-23,,1,M,Misuse Of 911 Or E911 System,1,15010914CF10A,(F3),0,2015-08-23,Aggravated Assault W/Dead Weap,2015-08-23,2015-09-23,,1,15010914CF10A,(F3),2015-08-23,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2013-03-24,Risk of Violence,5,Medium,2013-03-24,2015-08-23,2015-09-23,8,4,882,1,0,0 +7373,sammy worthy,sammy,worthy,2013-02-02,Male,1976-04-17,40,25 - 45,African-American,0,9,0,0,15,-1,2013-02-01 05:27:23,2013-04-14 11:31:39,13001606CF10A,2013-02-01,,1,F,Pos Cannabis W/Intent Sel/Del,1,13011940CF10A,(F2),0,2013-08-24,Poss Cocaine/Intent To Del/Sel,2013-08-24,2014-05-29,,1,15008682CF10A,(F2),2015-06-13,Throw Deadly Missile Into Veh,Risk of Recidivism,9,High,2013-02-02,Risk of Violence,7,Medium,2013-02-02,2013-08-24,2014-05-29,15,71,203,1,1,1 +7381,temisa brown,temisa,brown,2013-11-24,Female,1972-09-19,43,25 - 45,African-American,0,6,0,0,0,0,2013-11-24 12:15:06,2013-11-24 09:16:59,13016296CF10A,2013-11-23,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-24,Risk of Violence,1,Low,2013-11-24,2014-07-07,2014-09-02,0,0,225,0,0,0 +7384,barry nelson,barry,nelson,2013-08-10,Male,1993-02-17,23,Less than 25,African-American,0,7,0,0,1,,,,11017324CF10A,,2013-08-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-10,Risk of Violence,7,Medium,2013-08-10,,,1,0,965,0,0,0 +7387,braden hampton,braden,hampton,2013-10-23,Male,1972-08-26,43,25 - 45,Caucasian,0,6,0,0,12,-1,2013-10-22 07:27:02,2013-12-13 11:43:06,13014769CF10A,2013-10-22,,1,F,False Ownership Info/Pawn Item,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-23,Risk of Violence,3,Low,2013-10-23,2013-10-22,2013-12-13,12,51,891,0,0,0 +7388,tulsiram harnarrine,tulsiram,harnarrine,2013-09-12,Male,1983-05-26,32,25 - 45,Asian,0,1,0,0,0,-1,2013-09-11 03:41:17,2013-09-12 08:28:43,13017326MM10A,2013-09-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-12,0,0,932,0,0,0 +7391,davonte resiles,davonte,resiles,2013-12-31,Male,1994-09-12,21,Less than 25,African-American,0,9,0,0,0,-1,2013-12-30 07:11:21,2014-01-01 02:59:37,13017991CF10A,2013-12-30,,1,F,Poss F/Arm Delinq,1,14012657CF10A,(F6),,2014-09-08,Murder in the First Degree,,,,1,14012657CF10A,(F6),2014-09-08,Murder in the First Degree,Risk of Recidivism,9,High,2013-12-31,Risk of Violence,9,High,2013-12-31,2013-12-30,2014-01-01,0,1,251,1,1,1 +7392,darren bryant,darren,bryant,2013-09-09,Male,1965-04-16,51,Greater than 45,African-American,0,3,0,0,2,-1,2013-09-08 09:34:56,2013-10-03 08:51:19,13014849CF10A,2013-09-08,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-12-04,2013-12-13,2,24,86,0,0,0 +7393,rasheem chamberlain,rasheem,chamberlain,2014-03-27,Male,1996-03-18,20,Less than 25,African-American,0,10,0,0,0,-1,2014-03-26 09:51:33,2014-04-07 08:56:16,14004306CF10A,2014-03-26,,1,M,Operating W/O Valid License,1,15001908MM10A,(M2),,2014-12-26,Criminal Mischief Damage <$200,,,,1,15001908MM10A,(M1),2014-12-26,Battery,Risk of Recidivism,10,High,2014-03-27,Risk of Violence,10,High,2014-03-27,2014-03-26,2014-04-07,0,11,274,1,1,1 +7394,jorge insua,jorge,insua,2013-12-04,Male,1976-05-16,39,25 - 45,Caucasian,0,1,0,0,1,-99,2013-08-27 02:30:28,2013-08-28 11:08:52,11016387CF10A,,2013-08-27,99,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-04,Risk of Violence,2,Low,2013-12-04,2013-08-27,2013-08-28,1,0,849,0,0,0 +7396,jose figueroa,jose,figueroa,2014-03-05,Male,1957-11-19,58,Greater than 45,Hispanic,0,1,0,0,1,-2,2014-03-03 02:58:09,2014-03-05 04:31:06,14003646MM10A,2014-03-03,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-05,Risk of Violence,1,Low,2014-03-05,2014-03-03,2014-03-05,1,0,758,0,0,0 +7399,barissa clarke,barissa,clarke,2013-05-14,Female,1987-06-24,28,25 - 45,Other,0,2,0,1,1,0,2013-05-14 02:30:57,2013-05-14 07:42:24,13006906CF10A,2013-05-14,,0,F,Agg Abuse Elderlly/Disabled Adult,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-14,Risk of Violence,2,Low,2013-05-14,2013-05-14,2013-05-14,1,0,1053,0,0,0 +7400,amari joseph,amari,joseph,2013-08-29,Female,1986-02-09,30,25 - 45,African-American,0,3,0,0,2,-1,2013-08-28 09:16:57,2013-08-29 07:25:16,13016486MM10A,2013-08-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-29,Risk of Violence,2,Low,2013-08-29,2013-08-28,2013-08-29,2,0,946,0,0,0 +7406,robert singh,robert,singh,2013-03-23,Male,1994-01-19,22,Less than 25,African-American,0,9,0,0,1,0,2013-03-23 01:18:11,2013-04-30 07:29:04,12007973CF10A,,2013-03-23,0,F,arrest case no charge,1,14009004MM10A,(M1),0,2014-06-06,Battery,2014-06-06,2014-07-09,,1,14009004MM10A,(M1),2014-06-06,Battery,Risk of Recidivism,9,High,2013-03-23,Risk of Violence,9,High,2013-03-23,2013-07-24,2013-08-20,1,38,123,0,1,1 +7410,steven dinapoli,steven,dinapoli,2013-04-03,Male,1965-04-26,50,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-04-02 08:14:47,2013-04-03 08:17:43,13004723CF10A,2013-04-02,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-03,Risk of Violence,2,Low,2013-04-03,2013-04-02,2013-04-03,1,0,1094,0,0,0 +7411,steven nance,steven,nance,2013-02-28,Male,1986-03-11,30,25 - 45,African-American,0,9,0,0,5,-1,2013-02-27 02:39:10,2013-02-28 11:47:13,13002993CF10A,2013-02-27,,1,M,Aggravated Assault W/dead Weap,1,15000565MM30A,(M1),,2015-03-18,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,9,High,2013-02-28,Risk of Violence,8,High,2013-02-28,2015-02-21,2015-03-09,5,0,723,0,0,0 +7412,robert rees,robert,rees,2014-10-26,Male,1987-05-17,28,25 - 45,Caucasian,0,2,0,0,0,-1,2014-10-25 08:45:48,2014-10-26 08:24:24,14014389CF10A,2014-10-25,,1,F,Felony Battery (Dom Strang),1,15001706MM30A,(M1),,2015-07-12,Cruelty To Animals,,,,1,15001706MM30A,(M1),2015-07-12,Cruelty To Animals,Risk of Recidivism,2,Low,2014-10-26,Risk of Violence,2,Low,2014-10-26,2014-10-25,2014-10-26,0,0,259,1,1,1 +7416,lance gonzalez,lance,gonzalez,2014-02-11,Male,1989-12-19,26,25 - 45,Hispanic,0,1,0,1,2,0,2014-02-11 12:38:04,2014-02-11 08:51:19,14002285MM10A,2014-02-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-11,Risk of Violence,2,Low,2014-02-11,2014-02-11,2014-02-11,2,0,780,0,0,0 +7417,laurel femia,laurel,femia,2013-01-27,Female,1964-10-01,51,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-01-26 10:20:37,2013-01-28 08:30:53,13001277CF10A,2013-01-26,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-27,Risk of Violence,1,Low,2013-01-27,2013-01-26,2013-01-28,0,1,1160,0,0,0 +7419,mark clarke,mark,clarke,2013-02-24,Male,1994-08-11,21,Less than 25,African-American,0,7,0,0,1,0,2013-02-24 02:13:05,2013-02-27 08:20:45,13002786CF10A,2013-02-24,,0,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-24,Risk of Violence,7,Medium,2013-02-24,2013-02-24,2013-02-27,1,3,1132,0,0,0 +7420,joshe bittelman,joshe,bittelman,2013-02-26,Male,1986-04-26,29,25 - 45,Caucasian,0,2,0,0,0,-1,2013-02-25 09:36:50,2013-02-26 12:43:55,13002853CF10A,2013-02-25,,1,F,Grand Theft in the 3rd Degree,1,14004663CF10A,(M1),0,2014-04-03,Resist/Obstruct W/O Violence,2014-04-03,2014-04-17,,1,14004663CF10A,(F2),2014-04-03,Agg Fleeing/Eluding High Speed,Risk of Recidivism,2,Low,2013-02-26,Risk of Violence,3,Low,2013-02-26,2014-04-03,2014-04-17,0,0,401,1,1,1 +7421,efrain apointe,efrain,apointe,2014-02-19,Male,1972-11-24,43,25 - 45,Caucasian,0,4,0,0,0,-1,2014-02-18 05:27:55,2014-02-19 02:01:25,14002818MM10A,2014-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-19,Risk of Violence,2,Low,2014-02-19,2014-02-18,2014-02-19,0,0,772,0,0,0 +7422,kadeem banton,kadeem,banton,2013-04-20,Male,1994-03-26,22,Less than 25,African-American,0,4,0,0,1,0,2013-04-20 12:32:51,2013-04-22 09:19:28,13005640CF10A,,2013-04-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,6,Medium,2013-04-20,2014-02-03,2014-03-11,1,2,289,0,0,0 +7424,jason banton,jason,banton,2013-04-27,Male,1979-06-29,36,25 - 45,African-American,0,1,0,0,0,0,2013-04-27 04:02:04,2013-04-28 03:43:31,13006069CF10A,2013-04-26,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-27,2013-04-28,0,1,1070,0,0,0 +7425,octavious harris,octavious,harris,2013-12-12,Male,1991-06-28,24,Less than 25,African-American,0,2,0,0,0,-1,2013-12-11 11:10:23,2013-12-12 08:41:07,13017207CF10A,2013-12-11,,1,F,Obstruct Fire Equipment,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-12,Risk of Violence,3,Low,2013-12-12,2013-12-11,2013-12-12,0,0,841,0,0,0 +7426,terris williams,terris,williams,2013-09-04,Male,1989-09-17,26,25 - 45,African-American,0,6,1,0,5,-1,2013-09-03 01:43:48,2013-09-04 04:59:20,13012458CF10A,2013-09-03,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-04,Risk of Violence,7,Medium,2013-09-04,2013-09-03,2013-09-04,5,0,940,0,0,0 +7427,kevin beach,kevin,beach,2013-01-12,Male,1988-12-09,27,25 - 45,African-American,0,8,0,0,8,0,2013-01-12 05:16:10,2013-01-12 08:53:13,13000565CF10A,2013-01-12,,0,M,Criminal Mischief Damage <$200,1,16002719MM10A,(M1),1,2016-03-21,,2016-03-22,2016-03-22,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,7,Medium,2013-01-12,2014-01-28,2014-03-06,8,0,381,0,0,0 +7432,john pitre,john,pitre,2013-04-29,Male,1990-01-19,26,25 - 45,Caucasian,0,5,0,0,2,0,2013-04-29 12:10:42,2013-04-29 06:51:38,13004470CF10A,,2013-04-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-29,Risk of Violence,3,Low,2013-04-29,2013-04-29,2013-04-29,2,0,1068,0,0,0 +7434,billy aiken,billy,aiken,2013-08-23,Male,1991-09-24,24,Less than 25,African-American,0,4,0,0,1,-163,2013-03-13 10:29:02,2013-08-16 09:09:04,12006423CF10A,,2013-03-13,163,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-23,Risk of Violence,5,Medium,2013-08-23,2013-03-13,2013-08-16,1,0,952,0,0,0 +7435,elizabeth joseph,elizabeth,joseph,2013-04-08,Female,1987-02-20,29,25 - 45,African-American,0,4,0,0,0,-3,2013-04-05 11:21:31,2013-04-06 01:18:28,13004907CF10A,2013-04-05,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-08,Risk of Violence,2,Low,2013-04-08,2013-04-05,2013-04-06,0,0,1089,0,0,0 +7440,chaddie harrison,chaddie,harrison,2013-08-09,Male,1981-04-25,34,25 - 45,African-American,1,6,0,0,5,0,2013-08-09 01:05:06,2013-08-09 08:05:00,13012757CF10A,2013-08-08,,1,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-09,Risk of Violence,2,Low,2013-08-09,2013-08-09,2013-08-09,5,0,966,0,0,0 +7441,mikhail watson,mikhail,watson,2013-02-06,Male,1992-06-03,23,Less than 25,Other,0,4,0,0,2,-1,2013-02-05 11:15:36,2013-02-07 09:22:57,13001810CF10A,2013-02-05,,1,F,"Deliver 3,4 Methylenediox",1,15003101CF10A,(F3),0,2015-03-05,Carrying Concealed Firearm,2015-03-05,2015-03-06,,0,,,,,Risk of Recidivism,4,Low,2013-02-06,Risk of Violence,5,Medium,2013-02-06,2013-04-26,2013-04-26,2,1,79,0,0,0 +7443,christine king,christine,king,2013-08-02,Female,1986-11-01,29,25 - 45,African-American,0,2,0,0,1,-1,2013-08-01 06:50:52,2013-08-02 02:08:47,13014515MM10A,2013-08-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-02,Risk of Violence,2,Low,2013-08-02,2013-08-01,2013-08-02,1,0,973,0,0,0 +7444,daryll burgess,daryll,burgess,2013-02-01,Male,1991-06-22,24,Less than 25,African-American,0,5,0,0,1,0,2013-02-01 06:22:17,2013-02-02 03:17:53,13001635CF10A,2013-02-01,,0,F,Grand Theft (Motor Vehicle),1,15030363TC20A,(M2),,2015-05-17,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-01,Risk of Violence,5,Medium,2013-02-01,2013-02-01,2013-02-02,1,1,835,1,0,0 +7446,paul mcmullin,paul,mcmullin,2014-03-17,Male,1966-01-28,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-16 06:13:41,2014-03-17 02:19:32,14003714CF10A,2014-03-16,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-16,2014-03-17,0,0,746,0,0,0 +7447,jelissa jolly,jelissa,jolly,2013-03-11,Female,1991-10-08,24,Less than 25,African-American,0,7,0,0,0,-1,2013-03-10 08:01:47,2013-03-11 06:44:38,13004791MM10A,2013-03-10,,1,M,Criminal Mischief>$200<$1000,1,15060273TC30A,(M2),,2015-09-01,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-11,Risk of Violence,5,Medium,2013-03-11,2013-03-10,2013-03-11,0,0,904,1,0,0 +7448,mary davis,mary,davis,2014-02-17,Female,1984-07-31,31,25 - 45,African-American,0,3,0,0,0,0,2014-02-17 12:34:37,2014-02-17 09:33:27,14002215CF10A,2014-02-16,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-17,Risk of Violence,1,Low,2014-02-17,2014-10-28,2014-10-31,0,0,253,0,0,0 +7451,stephen korelisha,stephen,korelisha,2013-02-20,Male,1952-12-08,63,Greater than 45,Caucasian,0,1,0,0,1,,,,12002724MM10A,2012-02-08,,378,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,,,1,0,1136,0,0,0 +7455,etienne dozil,etienne,dozil,2013-01-09,Male,1993-12-18,22,Less than 25,African-American,0,7,0,0,0,-1,2013-01-08 02:04:01,2013-01-09 12:43:02,13000309CF10A,2013-01-08,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-09,Risk of Violence,7,Medium,2013-01-09,2013-11-25,2013-12-10,0,0,320,0,0,0 +7465,brandon castillo,brandon,castillo,2013-03-06,Male,1993-12-24,22,Less than 25,Caucasian,0,3,0,0,0,-1,2013-03-05 01:56:24,2013-03-06 07:34:50,13003294CF10A,2013-03-05,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-06,Risk of Violence,6,Medium,2013-03-06,2013-03-05,2013-03-06,0,0,1122,0,0,0 +7466,daniel monteferante,daniel,monteferante,2013-03-23,Male,1988-04-21,27,25 - 45,Caucasian,0,2,0,0,0,0,2013-03-23 07:09:29,2013-03-24 07:23:23,13005721MM10A,2013-03-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-23,Risk of Violence,3,Low,2013-03-23,2013-03-23,2013-03-24,0,1,1105,0,0,0 +7467,catrice telfort,catrice,telfort,2013-08-30,Female,1994-10-15,21,Less than 25,Other,0,4,0,0,0,-1,2013-08-29 09:09:59,2013-08-30 08:31:19,13016563MM10A,2013-08-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-30,Risk of Violence,5,Medium,2013-08-30,2013-08-29,2013-08-30,0,0,945,0,0,0 +7472,richard sofer,richard,sofer,2013-03-18,Male,1935-12-24,80,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-17 12:58:22,2013-03-18 02:20:57,13005234MM10A,2013-03-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-17,2013-03-18,0,0,1110,0,0,0 +7475,anthony cardullo,anthony,cardullo,2013-08-28,Male,1957-06-05,58,Greater than 45,Caucasian,0,1,0,0,1,-42,2013-07-17 01:45:43,2013-07-17 07:42:45,13013514MM10A,2013-07-16,,43,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-28,Risk of Violence,1,Low,2013-08-28,2013-07-17,2013-07-17,1,0,947,0,0,0 +7476,kerry francois,kerry,francois,2013-09-22,Male,1947-12-18,68,Greater than 45,African-American,0,4,0,0,6,-1,2013-09-21 10:10:59,2013-09-24 04:44:52,13018011MM10A,2013-09-21,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-22,Risk of Violence,1,Low,2013-09-22,2015-06-24,2015-06-26,6,2,640,0,0,0 +7477,roderick thomas,roderick,thomas,2013-02-12,Male,1992-05-28,23,Less than 25,African-American,0,8,0,0,1,0,2013-02-12 02:32:57,2013-02-14 03:14:28,13002206CF10A,2013-02-12,,0,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-12,Risk of Violence,5,Medium,2013-02-12,2013-06-29,2013-08-15,1,2,137,0,0,0 +7479,david oconnell,david,oconnell,2013-03-31,Male,1992-01-20,24,Less than 25,Caucasian,0,10,0,0,0,-1,2013-03-30 10:27:46,2013-04-15 09:08:38,13004573CF10A,2013-03-30,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-31,Risk of Violence,7,Medium,2013-03-31,2013-07-11,2013-07-25,0,15,102,0,0,0 +7480,nathan strickland,nathan,strickland,2014-03-25,Male,1975-02-23,41,25 - 45,Caucasian,0,1,0,0,2,-42,2014-02-11 09:19:52,2014-03-25 10:21:03,14001939CF10A,2014-02-11,,42,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-25,Risk of Violence,1,Low,2014-03-25,2014-02-11,2014-03-25,2,0,738,0,0,0 +7481,santiago pinzon,santiago,pinzon,2013-04-10,Male,1995-01-17,21,Less than 25,Caucasian,0,8,0,1,0,-1,2013-04-09 07:15:24,2013-04-10 08:13:56,13005098CF10A,2013-04-09,,1,F,Battery on Law Enforc Officer,1,13009545CF10A,(F2),0,2013-07-08,Robbery / No Weapon,2013-07-08,2013-10-05,,1,13009545CF10A,(F2),2013-07-08,Robbery / No Weapon,Risk of Recidivism,8,High,2013-04-10,Risk of Violence,7,Medium,2013-04-10,2013-07-08,2013-10-05,0,0,89,1,1,1 +7482,tegray whilby,tegray,whilby,2014-04-09,Male,1990-03-12,26,25 - 45,African-American,0,4,0,0,3,0,2014-04-09 03:30:16,2014-04-10 08:41:45,14006052MM10A,2014-04-09,,0,M,Battery,1,14008252CF10A,(F3),0,2014-06-14,Felony Battery (Dom Strang),2014-06-14,2014-06-18,,1,14008252CF10A,(F3),2014-06-14,Felony Battery (Dom Strang),Risk of Recidivism,4,Low,2014-04-09,Risk of Violence,5,Medium,2014-04-09,2014-06-14,2014-06-18,3,1,66,1,1,1 +7485,joel valentin,joel,valentin,2013-12-28,Male,1977-01-15,39,25 - 45,Hispanic,0,1,0,0,0,,,,13023875MM10A,2013-12-27,,1,M,Battery,1,14014711MM10A,(M1),,2014-10-07,Battery,,,,1,14014711MM10A,(M1),2014-10-07,Battery,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,1,Low,2013-12-28,,,0,0,283,1,1,1 +7487,christopher dalessandro,christopher,dalessandro,2013-09-15,Male,1980-04-02,36,25 - 45,Caucasian,0,5,0,0,1,-1,2013-09-14 07:24:56,2013-09-15 04:24:09,13012993CF10A,2013-09-14,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-15,Risk of Violence,1,Low,2013-09-15,2013-09-14,2013-09-15,1,0,929,0,0,0 +7488,densmore daniels,densmore,daniels,2013-12-19,Male,1994-10-20,21,Less than 25,African-American,0,8,0,0,0,-1,2013-12-18 01:10:47,2014-01-21 11:37:54,13017467CF10A,2013-12-18,,1,F,Aggravated Battery,1,14015133CF10A,(M1),0,2014-11-11,Aggravated Battery / Pregnant,2014-11-11,2014-11-12,,1,14015133CF10A,(M1),2014-11-11,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2013-12-19,Risk of Violence,7,Medium,2013-12-19,2014-04-23,2014-04-28,0,33,125,0,1,1 +7490,latoya neal,latoya,neal,2013-02-02,Female,1984-11-03,31,25 - 45,African-American,0,5,0,0,1,-1,2013-02-01 09:12:20,2013-02-02 05:51:04,11017327MM10A,,2013-02-01,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-02,Risk of Violence,3,Low,2013-02-02,2013-02-01,2013-02-02,1,0,1154,0,0,0 +7495,michael somers,michael,somers,2013-02-19,Male,1966-10-31,49,Greater than 45,Caucasian,0,8,0,0,4,-8,2013-02-11 01:58:24,2013-02-15 08:53:04,13003037MM10A,2013-02-11,,8,M,Disorderly Conduct,1,16000105CF10A,(F2),,2016-01-03,Arson in the Second Degree,,,,1,16000105CF10A,(F2),2016-01-03,Arson in the Second Degree,Risk of Recidivism,8,High,2013-02-19,Risk of Violence,3,Low,2013-02-19,2013-02-11,2013-02-15,4,0,1048,1,0,0 +7496,peter reilly,peter,reilly,2013-10-20,Male,1992-02-25,24,Less than 25,Caucasian,0,9,0,0,0,0,2013-10-20 01:51:38,2013-10-22 07:47:53,13014672CF10A,2013-10-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-20,Risk of Violence,7,Medium,2013-10-20,2013-10-20,2013-10-22,0,2,894,0,0,0 +7499,siarhei marakin,siarhei,marakin,2013-10-21,Male,1971-08-07,44,25 - 45,Caucasian,0,1,0,0,1,-22,2013-09-29 04:09:48,2013-09-30 12:00:01,13018503MM10A,2013-09-29,,22,M,Battery,1,15032494MU10A,(M2),0,2015-12-01,Reckless Driving,2015-12-01,2015-12-02,,0,,,,,Risk of Recidivism,1,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2015-12-01,2015-12-02,1,0,771,1,0,0 +7500,shantegra godfrey,shantegra,godfrey,2013-09-04,Female,1990-08-18,25,25 - 45,African-American,0,3,0,0,1,-13,2013-08-22 05:18:15,2013-09-04 05:19:31,13011839CF10A,2013-08-22,,13,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-04,Risk of Violence,4,Low,2013-09-04,2014-04-03,2014-04-08,1,0,211,0,0,0 +7503,vinessia gray,vinessia,gray,2013-12-06,Male,1990-10-06,25,25 - 45,African-American,0,2,0,0,1,-1,2013-12-05 09:04:52,2013-12-06 08:24:30,13016849CF10A,,2013-12-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-06,Risk of Violence,3,Low,2013-12-06,2014-12-01,2014-12-05,1,0,360,0,0,0 +7508,meyer renteria,meyer,renteria,2013-10-21,Male,1971-04-30,44,25 - 45,Hispanic,0,1,0,0,0,-1,2013-10-20 01:02:00,2013-10-21 07:40:50,13019856MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2013-10-20,2013-10-21,0,0,893,0,0,0 +7510,irving emmanuel,irving,emmanuel,2013-05-07,Male,1982-09-18,33,25 - 45,African-American,0,1,0,0,0,-1,2013-05-06 11:44:29,2013-05-07 01:25:39,13006548CF10A,2013-05-06,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-07,Risk of Violence,1,Low,2013-05-07,2013-05-06,2013-05-07,0,0,1060,0,0,0 +7511,akeem james,akeem,james,2014-11-09,Male,1996-03-07,20,Less than 25,African-American,0,7,0,0,0,-1,2014-11-08 01:54:07,2014-11-09 06:36:07,14015007CF10A,2014-11-08,,1,F,Aggrav Battery w/Deadly Weapon,1,15000314MM10A,(M1),1,2015-01-08,Viol Pretrial Release Dom Viol,2015-01-09,2015-03-18,,1,15000314MM10A,(M1),2015-01-08,Battery,Risk of Recidivism,7,Medium,2014-11-09,Risk of Violence,7,Medium,2014-11-09,2015-01-09,2015-03-18,0,0,60,1,1,1 +7514,belinda triana,belinda,triana,2013-03-26,Male,1972-01-06,44,25 - 45,Caucasian,0,5,0,0,3,-4,2013-03-22 11:44:12,2013-03-23 07:50:49,13004194CF10A,2013-03-22,,4,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,1,Low,2013-03-26,2014-02-05,2014-03-06,3,0,316,0,0,0 +7517,denise jackson-minott,denise,jackson-minott,2013-03-23,Female,1974-07-24,41,25 - 45,African-American,0,1,0,0,0,0,2013-03-23 03:53:04,2013-03-24 06:30:15,13005720MM10A,2013-03-23,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-23,Risk of Violence,1,Low,2013-03-23,2013-03-23,2013-03-24,0,1,1105,0,0,0 +7519,haywood farrow,haywood,farrow,2013-02-20,Male,1985-11-30,30,25 - 45,African-American,0,5,0,0,1,-1,2013-02-19 11:27:33,2013-03-13 05:49:26,13002530CF10A,2013-02-19,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-20,Risk of Violence,2,Low,2013-02-20,2013-02-19,2013-03-13,1,21,1136,0,0,0 +7520,rosalia poirier,rosalia,poirier,2013-03-10,Female,1992-07-30,23,Less than 25,Caucasian,0,6,0,0,0,,,,12000487MO30A,,2012-09-20,171,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-10,Risk of Violence,5,Medium,2013-03-10,,,0,0,1118,0,0,0 +7523,cedric fraser,cedric,fraser,2014-10-05,Male,1989-12-08,26,25 - 45,African-American,0,1,0,0,1,-1,2014-10-04 09:26:00,2014-10-05 01:23:01,14013402CF10A,2014-10-04,,1,F,Grand Theft in the 3rd Degree,1,14016939CF10A,(F3),,2014-11-16,Felony Batt(Great Bodily Harm),,,,1,14016939CF10A,(F3),2014-11-16,Felony Batt(Great Bodily Harm),Risk of Recidivism,1,Low,2014-10-05,Risk of Violence,2,Low,2014-10-05,2014-10-04,2014-10-05,1,0,42,1,1,1 +7524,tatiana quiruz,tatiana,quiruz,2013-09-09,Female,1984-03-09,32,25 - 45,Hispanic,0,2,0,0,0,-3,2013-09-06 01:25:48,2013-09-06 09:12:22,13012552CF10A,2013-09-05,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-09-06,2013-09-06,0,0,935,0,0,0 +7525,christopher hernandez,christopher,hernandez,2013-07-09,Male,1990-02-16,26,25 - 45,Caucasian,0,4,0,0,2,-60,2013-05-10 03:57:24,2013-05-10 08:47:36,13007633CF10A,2013-05-10,,60,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-09,Risk of Violence,4,Low,2013-07-09,2013-05-10,2013-05-10,2,0,997,0,0,0 +7530,denise smith,denise,smith,2014-01-02,Female,1972-05-13,43,25 - 45,African-American,0,9,0,1,9,-1,2014-01-01 04:58:59,2014-01-03 04:58:13,14000041MM10A,2014-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-02,Risk of Violence,7,Medium,2014-01-02,2014-01-01,2014-01-03,9,1,820,0,0,0 +7536,christian johnson,christian,johnson,2014-01-28,Male,1977-01-12,39,25 - 45,Caucasian,0,1,0,0,1,-4,2014-01-24 01:00:03,2014-01-25 02:10:46,14001053CF10A,2014-01-24,,4,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-28,Risk of Violence,1,Low,2014-01-28,2014-08-27,2014-09-03,1,0,211,0,0,0 +7538,yolanda allen,yolanda,allen,2013-10-30,Female,1966-09-04,49,Greater than 45,African-American,0,1,0,0,1,,,,12006122CF10A,2010-10-02,,1124,F,Unemployment Compensatn Fraud,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-30,Risk of Violence,1,Low,2013-10-30,,,1,0,884,0,0,0 +7541,larry boyd,larry,boyd,2013-03-02,Male,1953-04-08,63,Greater than 45,Caucasian,0,1,0,0,5,-1,2013-03-01 09:14:42,2013-03-05 10:01:18,13004228MO10A,2013-03-01,,1,M,Prostitution,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-02,Risk of Violence,1,Low,2013-03-02,2013-04-27,2013-05-06,5,3,56,0,0,0 +7545,yevgeniy kochnev,yevgeniy,kochnev,2013-05-09,Male,1991-08-15,24,Less than 25,Caucasian,0,5,0,2,3,-1,2013-05-08 11:47:13,2013-05-09 07:58:42,13006596CF10A,2013-05-08,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-09,Risk of Violence,4,Low,2013-05-09,2013-05-08,2013-05-09,3,0,1058,0,0,0 +7546,xavier segura,xavier,segura,2013-02-16,Male,1994-11-06,21,Less than 25,Caucasian,1,10,0,3,2,0,2013-02-16 04:51:02,2013-03-15 07:24:41,13003363MM10A,2013-02-16,,0,M,Battery,1,15014200CF10A,(F3),,2015-11-01,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,10,High,2013-02-16,Risk of Violence,8,High,2013-02-16,2014-06-06,2014-09-28,2,27,475,0,0,0 +7547,lisa quiggins,lisa,quiggins,2013-05-25,Female,1967-10-12,48,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-05-24 08:33:21,2013-05-26 07:23:38,13007430CF10A,2013-05-24,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-25,Risk of Violence,1,Low,2013-05-25,2014-01-16,2014-03-07,0,1,236,0,0,0 +7548,jeanpierre germain,jeanpierre,germain,2013-05-03,Male,1978-11-14,37,25 - 45,African-American,0,1,0,0,0,-1,2013-05-02 02:37:37,2013-05-15 05:49:31,13006337CF10A,2013-05-02,,1,F,Poss Similitude of Drivers Lic,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2013-05-02,2013-05-15,0,12,1064,0,0,0 +7553,mickelia mckenzie,mickelia,mckenzie,2014-02-27,Female,1995-12-04,20,Less than 25,Other,0,5,0,0,0,-1,2014-02-26 02:24:25,2014-02-27 08:10:28,14003381MM10A,2014-02-26,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-27,Risk of Violence,7,Medium,2014-02-27,2014-02-26,2014-02-27,0,0,764,0,0,0 +7555,randa natour,randa,natour,2013-08-20,Female,1952-02-16,64,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-19 07:58:52,2013-08-20 07:56:24,13015750MM10A,2013-08-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-20,0,0,955,0,0,0 +7556,tayler reed,tayler,reed,2013-02-11,Male,1993-08-05,22,Less than 25,Caucasian,0,6,0,0,0,0,2013-02-11 12:43:16,2013-02-12 04:33:35,13006142TC10A,2013-02-10,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-11,Risk of Violence,5,Medium,2013-02-11,2013-02-11,2013-02-12,0,1,1145,0,0,0 +7559,jose matos,jose,matos,2013-01-13,Male,1972-05-26,43,25 - 45,Caucasian,0,3,0,0,8,-1,2013-01-12 12:14:44,2013-01-14 02:47:11,12001565CF10A,,2013-01-12,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-14,8,1,1174,0,0,0 +7561,bryan holloway,bryan,holloway,2013-05-07,Male,1983-02-03,33,25 - 45,Caucasian,0,9,0,0,10,0,2013-05-07 11:22:11,2013-09-02 05:34:54,13006519CF10A,2013-05-07,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-07,Risk of Violence,8,High,2013-05-07,2013-05-07,2013-09-02,10,118,1060,0,0,0 +7562,demetrius sweeting,demetrius,sweeting,2013-08-22,Male,1989-04-29,26,25 - 45,African-American,0,6,0,0,1,-1,2013-08-21 04:14:04,2013-08-22 07:41:00,13011736CF10A,2013-08-21,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-22,Risk of Violence,6,Medium,2013-08-22,2013-08-21,2013-08-22,1,0,953,0,0,0 +7563,rachel bollman,rachel,bollman,2013-01-22,Female,1982-08-24,33,25 - 45,Caucasian,0,3,0,0,1,-5,2013-01-17 10:44:28,2013-01-18 04:27:34,09006158MM10A,2009-01-25,,1458,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,2,Low,2013-01-22,2013-01-17,2013-01-18,1,0,1165,0,0,0 +7564,matthew john,matthew,john,2014-02-28,Male,1991-01-06,25,25 - 45,Caucasian,0,3,0,0,3,-58,2014-01-01 12:00:58,2014-02-28 11:19:56,14000058CF10A,2014-01-01,,58,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-28,Risk of Violence,3,Low,2014-02-28,2014-01-01,2014-02-28,3,0,763,0,0,0 +7567,shannon lewis,shannon,lewis,2013-07-09,Female,1985-12-19,30,25 - 45,African-American,0,6,0,0,3,-51,2013-05-19 08:24:09,2013-05-19 07:30:19,12056716TC10A,2012-11-15,,236,M,Present Proof of Invalid Insur,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-09,Risk of Violence,5,Medium,2013-07-09,2013-05-19,2013-05-19,3,0,997,0,0,0 +7568,demetri jackson,demetri,jackson,2013-08-15,Female,1995-04-27,20,Less than 25,African-American,0,5,3,0,3,,,,11067733TC20A,2011-10-06,,679,M,Operating W/O Valid License,1,16009692TC30A,(M2),,2016-02-04,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-15,Risk of Violence,7,Medium,2013-08-15,,,3,0,903,1,0,0 +7570,sico charles,sico,charles,2013-03-21,Male,1971-04-23,44,25 - 45,African-American,0,1,0,0,0,-1,2013-03-20 01:14:13,2013-03-22 04:13:35,13004019CF10A,2013-03-20,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-03-20,2013-03-22,0,1,1107,0,0,0 +7571,adrian bowling,adrian,bowling,2014-02-02,Male,1985-04-03,31,25 - 45,African-American,0,2,0,0,0,0,2014-02-02 05:21:54,2014-02-03 01:20:35,14001467CF10A,2014-02-02,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-02,Risk of Violence,2,Low,2014-02-02,2015-04-20,2015-05-20,0,1,442,0,0,0 +7574,geralyn francis,geralyn,francis,2013-02-13,Female,1966-01-06,50,Greater than 45,Caucasian,0,1,0,0,1,,,,11013978MM10A,2011-06-18,,606,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,,,1,0,1143,0,0,0 +7577,maritza valle,maritza,valle,2013-04-29,Female,1991-03-01,25,25 - 45,Hispanic,0,3,0,0,0,-3,2013-04-26 05:54:05,2013-04-26 08:05:35,13008078MM10A,2013-04-26,,3,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,3,Low,2013-04-29,2013-04-26,2013-04-26,0,0,1068,0,0,0 +7578,esther pierre,esther,pierre,2014-01-08,Female,1972-05-23,43,25 - 45,African-American,0,2,0,0,2,-17,2013-12-22 11:44:51,2014-01-08 10:45:35,13023584MM10A,2013-12-22,,17,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,1,Low,2014-01-08,2013-12-22,2014-01-08,2,0,814,0,0,0 +7585,derrick rowe,derrick,rowe,2013-12-27,Male,1981-08-02,34,25 - 45,Other,0,1,0,0,2,-1,2013-12-26 03:49:10,2013-12-27 09:51:55,03042741TC20A,,2003-06-10,3853,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,1,Low,2013-12-27,2013-12-26,2013-12-27,2,0,826,0,0,0 +7586,dennis tummings,dennis,tummings,2013-05-13,Male,1971-09-17,44,25 - 45,Other,0,1,0,0,0,-1,2013-05-12 06:53:23,2013-05-17 12:00:04,13006794CF10A,2013-05-12,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-17,0,4,1054,0,0,0 +7588,roberto tomlinson,roberto,tomlinson,2013-06-10,Male,1985-05-10,30,25 - 45,Hispanic,0,4,1,0,14,-79,2013-03-23 04:15:49,2013-05-17 07:53:08,13004200CF10A,2013-03-23,,79,F,Battery on Law Enforc Officer,1,14012505CF10A,(M1),0,2014-09-15,Trespass Other Struct/Conve,2014-09-15,2014-12-06,,1,15010553CF10A,(F3),2015-08-15,Aggravated Assault W/Dead Weap,Risk of Recidivism,4,Low,2013-06-10,Risk of Violence,6,Medium,2013-06-10,2014-09-15,2014-12-06,14,0,462,1,1,1 +7595,julia acosta,julia,acosta,2014-01-21,Female,1960-06-06,55,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-01-20 03:07:14,2014-01-21 01:35:53,14000992MM10A,2014-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-01-20,2014-01-21,0,0,801,0,0,0 +7596,joseph janes,joseph,janes,2014-02-07,Male,1986-10-14,29,25 - 45,African-American,3,2,0,0,6,-26,2014-01-12 05:40:58,2014-02-07 10:54:39,14000540CF10A,,2014-01-29,9,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-07,Risk of Violence,2,Low,2014-02-07,2014-01-12,2014-02-07,6,0,784,0,0,0 +7597,marvin davis,marvin,davis,2013-08-15,Male,1984-12-24,31,25 - 45,Other,0,1,0,0,0,-1,2013-08-14 04:57:47,2013-08-15 07:27:09,13015402MM10A,2013-08-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-15,Risk of Violence,1,Low,2013-08-15,2013-08-14,2013-08-15,0,0,960,0,0,0 +7603,gerard fowler,gerard,fowler,2013-03-12,Male,1964-04-02,52,Greater than 45,Other,0,1,0,0,0,-1,2013-03-11 12:45:52,2013-03-12 03:29:13,13003570CF10A,2013-03-11,,1,F,Structuring Transactions,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-11,2013-03-12,0,0,1116,0,0,0 +7604,william warrington,william,warrington,2013-03-25,Male,1956-07-11,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-24 01:58:50,2013-03-25 08:08:20,13005743MM10A,2013-03-23,,2,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2014-06-17,2014-07-03,0,0,449,0,0,0 +7605,adam mccarthy,adam,mccarthy,2013-04-24,Male,1966-10-07,49,Greater than 45,African-American,0,1,0,0,1,0,2013-04-24 03:51:08,2013-04-24 08:20:44,13007982MM10A,2013-04-24,,0,M,Battery,1,14009089MM10A,(M1),0,2014-06-08,Battery,2014-06-08,2014-06-11,,1,14009089MM10A,(M1),2014-06-08,Battery,Risk of Recidivism,1,Low,2013-04-24,Risk of Violence,1,Low,2013-04-24,2014-06-08,2014-06-11,1,0,410,1,1,1 +7606,jerry warrens,jerry,warrens,2013-05-06,Male,1979-07-27,36,25 - 45,Caucasian,0,6,0,0,11,-1,2013-05-05 06:23:11,2013-05-07 10:47:02,13008699MM10A,2013-05-05,,1,M,Battery,1,13013844MM10A,(M1),0,2013-06-16,Resist/Obstruct W/O Violence,2013-06-16,2013-07-25,,1,13008492CF10A,(M1),2013-06-16,Battery,Risk of Recidivism,6,Medium,2013-05-06,Risk of Violence,4,Low,2013-05-06,2013-06-16,2013-07-25,11,1,41,1,1,1 +7607,marsofia jean,marsofia,jean,2013-11-07,Female,1993-04-08,23,Less than 25,African-American,0,3,0,0,1,-1,2013-11-06 03:13:30,2013-11-07 02:07:09,13015490CF10A,2013-11-06,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-07,Risk of Violence,4,Low,2013-11-07,2013-11-06,2013-11-07,1,0,876,0,0,0 +7613,alfonso quesada,alfonso,quesada,2013-10-21,Male,1964-05-09,51,Greater than 45,Hispanic,0,1,0,0,1,-12,2013-10-09 10:39:23,2013-10-16 05:04:21,13013687CF10A,,2013-10-09,12,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-21,Risk of Violence,1,Low,2013-10-21,2013-10-09,2013-10-16,1,0,893,0,0,0 +7615,fred holmes,fred,holmes,2013-03-31,Male,1981-07-25,34,25 - 45,African-American,0,1,0,0,0,0,2013-03-31 12:16:34,2013-03-31 05:04:52,13004600CF10A,2013-03-30,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-31,Risk of Violence,2,Low,2013-03-31,2013-03-31,2013-03-31,0,0,1097,0,0,0 +7618,akhter hossain,akhter,hossain,2013-11-18,Male,1983-09-15,32,25 - 45,Other,0,1,0,0,0,-1,2013-11-17 05:08:44,2013-11-18 02:11:05,13015972CF10A,2013-11-17,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-18,Risk of Violence,1,Low,2013-11-18,2013-11-17,2013-11-18,0,0,865,0,0,0 +7620,thurman jones,thurman,jones,2013-09-19,Male,1961-11-09,54,Greater than 45,African-American,0,3,0,0,1,-1,2013-09-18 10:24:01,2013-09-19 08:42:52,13010299CF10A,,2013-09-18,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-19,Risk of Violence,1,Low,2013-09-19,2015-07-08,2015-07-08,1,0,657,0,0,0 +7634,troy paul,troy,paul,2013-03-13,Male,1979-08-08,36,25 - 45,African-American,0,1,0,0,0,0,2013-03-13 02:27:45,2013-03-13 07:08:18,13003679CF10A,2013-03-12,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-13,Risk of Violence,1,Low,2013-03-13,2013-03-13,2013-03-13,0,0,1115,0,0,0 +7635,kenneth young,kenneth,young,2013-06-04,Male,1954-10-31,61,Greater than 45,Caucasian,0,1,0,0,0,-4,2013-05-31 09:09:37,2013-06-01 08:30:27,13010462MM10A,2013-05-31,,4,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-04,Risk of Violence,1,Low,2013-06-04,2013-08-09,2013-09-16,0,0,66,0,0,0 +7636,susan roberts,susan,roberts,2013-01-06,Female,1977-09-04,38,25 - 45,African-American,0,2,0,0,0,-1,2013-01-05 06:24:13,2013-01-06 08:58:18,13000242MM10A,2013-01-05,,1,M,Fail To Obey Police Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2013-01-05,2013-01-06,0,0,1181,0,0,0 +7637,roberto martinez,roberto,martinez,2013-05-06,Male,1974-09-12,41,25 - 45,Hispanic,0,2,0,0,9,-1,2013-05-05 04:10:51,2013-05-14 11:36:09,10014854CF10A,,2013-05-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2014-01-13,2014-01-23,9,8,252,0,0,0 +7639,matthew holmes,matthew,holmes,2013-08-13,Male,1983-10-02,32,25 - 45,African-American,0,3,0,0,0,0,2013-08-13 04:44:44,2013-08-14 08:27:05,13011381CF10A,2013-08-13,,0,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-13,Risk of Violence,2,Low,2013-08-13,2013-08-13,2013-08-14,0,1,962,0,0,0 +7642,lamont dixon,lamont,dixon,2013-05-01,Male,1969-06-08,46,Greater than 45,African-American,0,7,0,0,18,-114,2013-01-07 04:19:44,2013-03-13 05:49:43,13006217CF10A,2013-04-30,,1,F,Felony Petit Theft,1,15016236CF10A,(F3),,2015-12-19,Felony Petit Theft,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-01,Risk of Violence,3,Low,2013-05-01,2013-01-07,2013-03-13,18,0,962,1,0,0 +7644,taquan wallace,taquan,wallace,2013-08-27,Male,1994-10-02,21,Less than 25,African-American,0,8,0,0,4,-1,2013-08-26 06:18:02,2013-10-26 01:31:27,13012051CF10A,2013-08-26,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-27,Risk of Violence,6,Medium,2013-08-27,2015-05-19,2015-05-21,4,60,630,0,0,0 +7647,ronald knight,ronald,knight,2013-12-20,Male,1947-05-31,68,Greater than 45,African-American,0,4,0,0,2,0,2013-12-20 03:05:36,2013-12-20 08:39:18,13017571CF10A,2013-12-19,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-20,Risk of Violence,2,Low,2013-12-20,2013-12-20,2013-12-20,2,0,833,0,0,0 +7648,kamiyla lane,kamiyla,lane,2014-03-17,Male,1992-02-16,24,Less than 25,African-American,0,3,0,0,0,-1,2014-03-16 10:38:41,2014-03-18 05:32:41,14004560MM10A,2014-03-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-17,Risk of Violence,4,Low,2014-03-17,2014-03-16,2014-03-18,0,1,746,0,0,0 +7650,tomas smith,tomas,smith,2014-07-14,Male,1975-04-06,41,25 - 45,Caucasian,0,4,0,0,1,-1,2014-07-13 05:33:05,2014-09-09 05:24:12,14009576CF10A,2014-07-13,,1,F,Felony Battery (Dom Strang),1,14012656CF10A,(M2),1,2014-09-17,Reckless Driving,2014-09-18,2014-09-18,,1,14012656CF10A,(F3),2014-09-17,Agg Fleeing and Eluding,Risk of Recidivism,4,Low,2014-07-14,Risk of Violence,2,Low,2014-07-14,2014-07-13,2014-09-09,1,57,65,1,1,1 +7651,dechand ramsook,dechand,ramsook,2013-01-23,Male,1985-08-15,30,25 - 45,Other,0,2,0,0,0,-1,2013-01-22 06:24:52,2013-02-01 09:53:21,13001035CF10A,,2013-01-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-23,Risk of Violence,2,Low,2013-01-23,2013-01-22,2013-02-01,0,9,1164,0,0,0 +7654,anthony lisinicchia,anthony,lisinicchia,2014-02-23,Male,1974-10-22,41,25 - 45,African-American,0,4,0,0,1,-1,2014-02-22 11:14:46,2014-02-25 07:09:00,14002537CF10A,2014-02-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-23,Risk of Violence,3,Low,2014-02-23,2014-02-22,2014-02-25,1,2,768,0,0,0 +7655,dave jackson,dave,jackson,2014-01-11,Male,1960-11-24,55,Greater than 45,Other,0,1,0,0,4,-1,2014-01-10 04:54:10,2014-01-15 12:17:38,14000439CF10A,2014-01-10,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-11,Risk of Violence,1,Low,2014-01-11,2014-01-10,2014-01-15,4,4,811,0,0,0 +7656,luis vigniero,luis,vigniero,2013-01-29,Male,1990-03-20,26,25 - 45,Hispanic,0,2,0,0,1,,,,12017413CF10A,2012-11-29,,61,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-29,Risk of Violence,3,Low,2013-01-29,,,1,0,1158,0,0,0 +7657,ramon delacruz,ramon,delacruz,2013-09-04,Male,1976-06-18,39,25 - 45,Hispanic,0,2,0,0,2,-83,2013-06-13 10:20:55,2013-06-14 06:31:46,13008390CF10A,2013-06-13,,83,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-06-13,2013-06-14,2,0,940,0,0,0 +7659,eric alders,eric,alders,2013-03-07,Male,1983-03-24,33,25 - 45,Caucasian,0,4,0,0,1,-4,2013-03-03 01:55:16,2013-03-06 07:18:53,13001461CF10A,,2013-03-03,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-07,Risk of Violence,3,Low,2013-03-07,2013-03-03,2013-03-06,1,0,1121,0,0,0 +7660,cavoan ramson,cavoan,ramson,2014-02-06,Male,1992-10-09,23,Less than 25,African-American,0,2,0,0,0,-1,2014-02-05 09:02:47,2014-02-06 10:06:16,14001628CF10A,2014-02-05,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-06,Risk of Violence,4,Low,2014-02-06,2014-02-05,2014-02-06,0,0,785,0,0,0 +7663,carol debriae,carol,debriae,2013-02-01,Female,1964-08-02,51,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-01-30 08:18:59,2013-01-31 08:50:16,13001486CF10A,2013-01-30,,2,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-01,Risk of Violence,1,Low,2013-02-01,2013-01-30,2013-01-31,0,0,1155,0,0,0 +7667,andrew abbott,andrew,abbott,2014-01-05,Male,1979-12-11,36,25 - 45,Caucasian,0,2,0,0,1,-1,2014-01-04 09:29:21,2014-01-05 02:30:46,14000184MM10A,2014-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-05,Risk of Violence,3,Low,2014-01-05,2014-01-04,2014-01-05,1,0,817,0,0,0 +7668,john meneses,john,meneses,2013-05-04,Male,1959-02-21,57,Greater than 45,Hispanic,0,1,0,0,0,0,2013-05-04 02:39:10,2013-08-21 09:19:11,13006413CF10A,2013-05-03,,1,M,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2014-09-22,2014-10-28,0,109,506,0,0,0 +7669,tony gotiear,tony,gotiear,2013-12-06,Male,1972-06-02,43,25 - 45,African-American,0,1,0,0,0,0,2013-12-06 04:49:34,2013-12-06 08:32:43,13022631MM10A,2013-12-06,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2013-12-06,2013-12-06,0,0,847,0,0,0 +7672,linden anderson,linden,anderson,2014-02-17,Male,1969-03-01,47,Greater than 45,Other,0,1,0,0,0,-1,2014-02-16 06:32:47,2014-02-17 01:03:05,14002685MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-17,Risk of Violence,1,Low,2014-02-17,2014-02-16,2014-02-17,0,0,774,0,0,0 +7673,deroslyn doreus,deroslyn,doreus,2013-12-22,Male,1956-01-02,60,Greater than 45,African-American,0,1,0,0,1,-1,2013-12-21 09:55:31,2013-12-22 01:18:00,13006126CF10A,,2013-12-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-21,2013-12-22,1,0,831,0,0,0 +7674,darien justice,darien,justice,2013-02-10,Male,1991-05-05,24,Less than 25,African-American,0,5,0,0,0,-1,2013-02-09 08:28:39,2013-02-10 07:52:20,13002910MM10A,2013-02-09,,1,M,Possess Cannabis/20 Grams Or Less,1,14006024MM10A,(M1),,2014-02-13,Battery,,,,1,14006024MM10A,(M1),2014-02-13,Battery,Risk of Recidivism,5,Medium,2013-02-10,Risk of Violence,5,Medium,2013-02-10,2016-01-04,2016-01-13,0,0,368,1,1,1 +7677,jenny gomezdibenedetto,jenny,gomezdibenedetto,2013-09-06,Female,1987-09-22,28,25 - 45,Caucasian,0,3,0,0,0,-6,2013-08-31 09:26:46,2013-09-01 05:23:23,13012330CF10A,2013-08-31,,6,M,Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-08-31,2013-09-01,0,0,938,0,0,0 +7680,frank congemi,frank,congemi,2014-01-21,Male,1949-03-09,67,Greater than 45,Caucasian,0,1,0,0,2,-80,2013-11-02 06:57:49,2013-12-18 10:31:00,13015278CF10A,2013-11-02,,80,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2013-11-02,2013-12-18,2,0,801,0,0,0 +7681,alberto solorio,alberto,solorio,2013-07-02,Male,1961-11-25,54,Greater than 45,Other,0,1,0,0,1,-2,2013-06-30 05:09:32,2013-07-02 10:44:07,13009208CF10A,2013-06-30,,2,F,Stalking (Aggravated),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-02,Risk of Violence,1,Low,2013-07-02,2013-08-05,2013-08-08,1,0,34,0,0,0 +7682,shaquella pines,shaquella,pines,2014-01-07,Female,1990-04-14,26,25 - 45,African-American,0,8,0,0,1,-140,2013-08-20 08:58:27,2013-08-24 02:22:35,13011762CF10A,2013-08-20,,140,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-01-07,Risk of Violence,9,High,2014-01-07,2013-08-20,2013-08-24,1,0,815,0,0,0 +7685,laurence stevens,laurence,stevens,2014-01-25,Female,1981-11-04,34,25 - 45,Other,0,1,0,0,0,0,2014-01-25 09:11:58,2014-01-26 02:13:57,14001414MM10A,2014-01-25,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-25,Risk of Violence,1,Low,2014-01-25,2014-01-25,2014-01-26,0,1,797,0,0,0 +7686,jack pierre-louis,jack,pierre-louis,2013-09-11,Male,1968-01-10,48,Greater than 45,Other,0,1,0,0,1,-21,2013-08-21 04:29:00,2013-09-11 11:37:03,13011749CF10A,2013-08-21,,21,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2013-08-21,2013-09-11,1,0,933,0,0,0 +7688,carlton johnson,carlton,johnson,2013-04-21,Male,1978-04-22,37,25 - 45,African-American,0,8,0,0,0,-1,2013-04-20 07:10:10,2013-04-21 07:06:20,13005667CF10A,2013-04-20,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-21,Risk of Violence,7,Medium,2013-04-21,2013-04-20,2013-04-21,0,0,1076,0,0,0 +7689,antoine ilus,antoine,ilus,2013-01-17,Male,1987-08-23,28,25 - 45,African-American,0,8,0,0,8,-1,2013-01-16 09:27:53,2013-01-19 09:22:26,13000762CF10A,2013-01-16,,1,F,Deliver Cocaine,1,13112303TC30A,(M2),,2013-10-31,Susp Drivers Lic 1st Offense,,,,1,15000128MM10A,(M1),2015-01-04,Battery,Risk of Recidivism,8,High,2013-01-17,Risk of Violence,7,Medium,2013-01-17,2013-01-16,2013-01-19,8,2,287,1,1,1 +7692,bryon allmond,bryon,allmond,2013-02-07,Male,1970-12-21,45,Greater than 45,Caucasian,0,4,0,0,2,0,2013-02-07 02:17:57,2013-02-10 01:49:12,13004985MM10A,2013-02-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-07,Risk of Violence,3,Low,2013-02-07,2013-02-07,2013-02-10,2,3,1149,0,0,0 +7693,gerard restaino,gerard,restaino,2014-09-17,Male,1995-08-24,20,Less than 25,African-American,0,7,0,1,2,-1,2014-09-16 03:26:15,2014-09-26 09:55:44,14012639CF10A,2014-09-17,,0,F,Principal In The First Degree,1,14015556CF10A,(F3),0,2014-11-18,Grand Theft in the 3rd Degree,2014-11-18,2015-06-30,,1,15010401MM10A,(M1),2015-10-04,Battery,Risk of Recidivism,7,Medium,2014-09-17,Risk of Violence,9,High,2014-09-17,2014-10-06,2014-11-08,2,9,19,0,1,1 +7694,byron everett,byron,everett,2013-02-24,Male,1964-01-21,52,Greater than 45,African-American,0,1,0,0,0,0,2013-02-24 03:25:29,2013-02-25 01:51:43,13003835MM10A,2013-02-24,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-24,Risk of Violence,1,Low,2013-02-24,2013-02-24,2013-02-25,0,1,1132,0,0,0 +7697,owen parchment,owen,parchment,2013-12-26,Male,1987-04-07,29,25 - 45,African-American,0,2,0,0,0,-1,2013-12-25 09:52:58,2013-12-26 01:17:54,13023756MM10A,2013-12-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-26,Risk of Violence,2,Low,2013-12-26,2013-12-25,2013-12-26,0,0,827,0,0,0 +7698,dericky mcgirt,dericky,mcgirt,2013-04-22,Male,1981-09-07,34,25 - 45,African-American,0,8,0,4,11,0,2013-04-22 11:11:43,2013-04-23 07:29:12,13005742CF10A,2013-04-22,,0,F,Aggravated Assault w/Firearm,1,13016450MM10A,(M1),0,2013-08-07,Resist/Obstruct W/O Violence,2013-08-07,2013-08-08,,1,14011918CF10A,(F2),2014-08-28,Aggravated Battery / Pregnant,Risk of Recidivism,8,High,2013-04-22,Risk of Violence,8,High,2013-04-22,2013-08-07,2013-08-08,11,1,107,1,1,1 +7700,david shuman,david,shuman,2013-05-25,Male,1988-04-01,28,25 - 45,African-American,0,10,0,0,6,0,2013-05-25 04:58:09,2013-08-14 04:16:37,13007480CF10A,2013-05-25,,0,F,Grand Theft (Motor Vehicle),1,13012135CF10A,(F2),4,2013-08-24,Robbery / No Weapon,2013-08-28,2014-06-12,,1,13012135CF10A,(F2),2013-08-24,Robbery / No Weapon,Risk of Recidivism,10,High,2013-05-25,Risk of Violence,10,High,2013-05-25,2013-05-25,2013-08-14,6,81,91,1,1,1 +7704,johnny philus,johnny,philus,2013-10-01,Male,1986-11-20,29,25 - 45,African-American,0,7,0,0,0,0,2013-10-01 01:08:10,2013-10-01 08:58:30,13013726CF10A,2013-09-30,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-01,Risk of Violence,7,Medium,2013-10-01,2013-10-01,2013-10-01,0,0,913,0,0,0 +7705,patricia cerra,patricia,cerra,2013-09-12,Female,1961-03-07,55,Greater than 45,Caucasian,0,1,0,0,2,-12,2013-08-31 09:30:54,2013-09-03 08:31:38,13012310CF10A,2013-08-31,,12,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2014-01-31,2014-02-19,2,0,141,0,0,0 +7706,flaviano leon,flaviano,leon,2013-09-16,Male,1948-01-28,68,Greater than 45,Hispanic,0,1,0,0,0,-3,2013-09-13 11:36:13,2013-09-14 07:08:11,13017496MM10A,2013-09-13,,3,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-09-13,2013-09-14,0,0,928,0,0,0 +7711,devon beckford,devon,beckford,2014-02-04,Male,1995-05-30,20,Less than 25,African-American,0,3,0,0,0,-1,2014-02-03 11:53:10,2014-02-04 07:53:18,14001521CF10A,2014-02-03,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-04,Risk of Violence,6,Medium,2014-02-04,2014-02-03,2014-02-04,0,0,787,0,0,0 +7712,abraham walker,abraham,walker,2014-01-17,Male,1992-09-30,23,Less than 25,African-American,0,5,0,0,0,0,2014-01-17 12:26:03,2014-02-18 12:46:42,14000850MM10A,2014-01-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-17,Risk of Violence,5,Medium,2014-01-17,2014-01-17,2014-02-18,0,32,805,0,0,0 +7720,stephen gornall,stephen,gornall,2013-02-23,Male,1960-10-08,55,Greater than 45,African-American,0,1,0,0,0,-1,2013-02-22 10:17:18,2013-02-23 09:04:28,13003745MM10A,2013-02-22,,1,M,Battery,1,14000433MM40A,(M2),,2014-01-17,Petit Theft,,,,1,14010455CF10A,(F3),2014-07-31,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-05-22,2013-05-23,0,0,88,0,1,1 +7723,ebrain penaloza,ebrain,penaloza,2013-10-27,Male,1992-01-18,24,Less than 25,Hispanic,0,2,0,0,0,-1,2013-10-26 05:22:40,2013-11-01 09:17:55,13014984CF10A,2013-10-26,,1,F,Burglary Conveyance Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-27,Risk of Violence,3,Low,2013-10-27,2013-10-26,2013-11-01,0,5,887,0,0,0 +7725,artis cameron,artis,cameron,2013-10-02,Male,1938-04-24,77,Greater than 45,African-American,0,1,0,0,0,0,2013-10-02 02:55:47,2013-10-02 01:23:59,13018779MM10A,2013-10-01,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-02,2013-10-02,0,0,912,0,0,0 +7726,jeffrey flowers,jeffrey,flowers,2013-01-29,Male,1963-08-09,52,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-01-28 09:52:03,2013-01-29 08:32:48,13002012MM10A,2013-01-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-28,2013-01-29,3,0,1158,0,0,0 +7729,hamlet rodriguez-cabreja,hamlet,rodriguez-cabreja,2013-04-07,Male,1976-12-07,39,25 - 45,Hispanic,0,1,0,0,0,0,2013-04-07 02:47:23,2013-04-07 06:33:09,13005024CF10A,,2013-04-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2013-04-07,2013-04-07,0,0,1090,0,0,0 +7735,emily diana,emily,diana,2013-06-17,Female,1965-02-09,51,Greater than 45,Caucasian,0,2,0,0,1,-30,2013-05-18 09:53:45,2013-05-19 12:59:16,13009599MM10A,2013-05-18,,30,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-17,Risk of Violence,1,Low,2013-06-17,2013-05-18,2013-05-19,1,0,1019,0,0,0 +7736,anthony roberts,anthony,roberts,2014-01-23,Male,1982-01-07,34,25 - 45,African-American,0,3,0,0,2,-12,2014-01-11 04:48:44,2014-01-23 10:12:03,14000544CF10A,,2014-01-11,12,F,arrest case no charge,1,16001092MM40A,(M1),,2016-02-18,Petit Theft $100- $300,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-11,2014-01-23,2,0,756,1,0,0 +7737,juan gonzolaz,juan,gonzolaz,2014-01-14,Male,1992-06-16,23,Less than 25,Caucasian,0,2,0,0,0,-1,2014-01-13 09:16:26,2014-01-18 09:53:52,14000578CF10A,2014-01-13,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-14,Risk of Violence,4,Low,2014-01-14,2014-01-13,2014-01-18,0,4,808,0,0,0 +7738,miguel morales,miguel,morales,2013-12-17,Male,1983-05-13,32,25 - 45,Caucasian,0,2,0,0,2,-1,2013-12-16 07:09:57,2013-12-17 03:07:16,13017362CF10A,2013-12-16,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-17,Risk of Violence,1,Low,2013-12-17,2013-12-16,2013-12-17,2,0,836,0,0,0 +7740,evans mesadieu,evans,mesadieu,2013-10-29,Male,1977-09-16,38,25 - 45,African-American,1,6,5,0,8,0,2013-10-29 12:09:43,2013-11-14 09:04:39,13020385MM10A,2013-10-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-29,Risk of Violence,4,Low,2013-10-29,2013-10-29,2013-11-14,8,16,885,0,0,0 +7745,luis fernandezcueto,luis,fernandezcueto,2013-08-09,Male,1981-07-18,34,25 - 45,Caucasian,0,7,0,0,1,-1,2013-08-08 04:09:24,2013-09-28 07:19:04,13011117CF10A,2013-08-08,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-09,Risk of Violence,3,Low,2013-08-09,2013-08-08,2013-09-28,1,50,966,0,0,0 +7747,daniel perez,daniel,perez,2013-01-31,Male,1988-03-24,28,25 - 45,Hispanic,0,7,0,0,1,44,2013-03-16 09:20:21,2013-04-19 01:24:38,12005599MM10A,2012-03-18,,319,M,Violation License Restrictions,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-31,Risk of Violence,3,Low,2013-01-31,2013-03-16,2013-04-19,1,0,44,0,0,0 +7753,stephen hannon,stephen,hannon,2013-05-26,Male,1961-10-09,54,Greater than 45,African-American,0,1,0,0,1,-1,2013-05-25 10:06:39,2013-05-26 08:34:01,13026961TC10A,,2013-05-25,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-26,1,0,1041,0,0,0 +7754,richard shields,richard,shields,2014-09-19,Male,1991-02-20,25,25 - 45,Caucasian,0,4,0,0,2,0,2014-09-19 06:29:55,2014-09-19 08:58:12,14034102MU10A,2014-09-19,,0,M,Driving Under The Influence,1,15004823CF10A,(F2),0,2015-04-12,Aggrav Battery w/Deadly Weapon,2015-04-12,2015-04-12,,1,15004823CF10A,(F2),2015-04-12,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,4,Low,2014-09-19,Risk of Violence,6,Medium,2014-09-19,2015-04-12,2015-04-12,2,0,205,0,1,1 +7757,christopher gonzalez,christopher,gonzalez,2013-09-09,Male,1982-01-13,34,25 - 45,Hispanic,0,1,0,0,1,-1,2013-09-08 08:11:29,2013-09-09 01:29:50,13017105MM10A,2013-09-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-09,Risk of Violence,1,Low,2013-09-09,2013-09-08,2013-09-09,1,0,935,0,0,0 +7763,brian allen,brian,allen,2014-01-29,Male,1971-03-01,45,Greater than 45,African-American,0,1,0,0,7,-1,2014-01-28 06:11:38,2014-01-29 08:29:49,14001254CF10A,2014-01-28,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-29,Risk of Violence,1,Low,2014-01-29,2015-03-20,2015-03-27,7,0,415,0,0,0 +7768,christopher tippett,christopher,tippett,2013-06-03,Male,1971-03-21,45,Greater than 45,Caucasian,0,1,0,0,1,-11,2013-05-23 12:26:34,2013-05-23 08:57:55,13009881MM10A,2013-05-22,,12,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-03,Risk of Violence,2,Low,2013-06-03,2013-05-23,2013-05-23,1,0,1033,0,0,0 +7770,ahmad james,ahmad,james,2014-03-12,Male,1987-07-20,28,25 - 45,African-American,1,5,0,0,12,-1,2014-03-11 05:02:18,2014-03-13 01:22:59,14003437CF10A,2014-03-11,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-12,Risk of Violence,5,Medium,2014-03-12,2014-03-11,2014-03-13,12,1,751,0,0,0 +7775,arisno absolu,arisno,absolu,2013-05-06,Male,1974-07-08,41,25 - 45,African-American,0,1,0,0,2,0,2013-05-06 01:02:59,2013-05-06 07:57:43,13006489CF10A,2013-05-05,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-06,2013-05-06,2,0,1061,0,0,0 +7786,ronnie wilson,ronnie,wilson,2013-02-19,Male,1987-09-01,28,25 - 45,African-American,0,5,0,0,2,-1,2013-02-18 05:10:54,2013-03-21 10:02:15,13002463CF10A,2013-02-18,,1,F,Possession of Benzylpiperazine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-19,Risk of Violence,7,Medium,2013-02-19,2015-05-27,2020-01-01,2,30,827,0,0,0 +7792,ariana rigaud,ariana,rigaud,2013-02-08,Female,1990-12-01,25,25 - 45,African-American,0,5,0,0,4,-1,2013-02-07 02:50:10,2013-02-08 07:36:45,13001922CF10A,2013-02-07,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-08,Risk of Violence,4,Low,2013-02-08,2013-02-07,2013-02-08,4,0,1148,0,0,0 +7794,breeann mcallister,breeann,mcallister,2014-02-13,Female,1992-08-19,23,Less than 25,Caucasian,0,2,0,2,1,-1,2014-02-12 05:55:24,2014-02-12 09:58:48,14005666MU10A,2014-02-12,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-13,Risk of Violence,3,Low,2014-02-13,2014-02-12,2014-02-12,1,0,778,0,0,0 +7796,joshua daniels,joshua,daniels,2014-03-21,Male,1985-09-10,30,25 - 45,African-American,0,8,0,0,2,-1,2014-03-20 05:32:13,2014-03-21 03:29:29,14003966CF10A,2014-03-20,,1,F,Crim Use of Personal ID Info,1,14007738CF10A,(F3),0,2014-06-04,Driving While License Revoked,2014-06-04,2014-06-05,,1,15008569MM10A,(M1),2015-06-15,Battery,Risk of Recidivism,8,High,2014-03-21,Risk of Violence,4,Low,2014-03-21,2014-06-04,2014-06-05,2,0,75,1,1,1 +7800,rosetta walker,rosetta,walker,2014-01-02,Female,1960-02-18,56,Greater than 45,African-American,0,2,0,0,2,-47,2013-11-16 11:50:19,2013-11-18 04:03:10,13015953CF10A,2013-11-16,,47,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2013-11-16,2013-11-18,2,0,820,0,0,0 +7806,vladimir fedotov,vladimir,fedotov,2013-04-25,Male,1980-09-29,35,25 - 45,Caucasian,0,3,0,0,3,-1,2013-04-24 01:51:08,2013-04-25 08:08:25,13008274MM10A,2013-04-24,,1,M,Viol Injunct Domestic Violence,1,15014872CF10A,(F3),1,2015-11-15,Burglary Structure Unoccup,2015-11-16,2015-11-17,,0,,,,,Risk of Recidivism,3,Low,2013-04-25,Risk of Violence,2,Low,2013-04-25,2016-01-26,2016-01-26,3,0,934,1,0,0 +7807,bret stratton,bret,stratton,2013-01-07,Male,1981-12-02,34,25 - 45,Caucasian,0,8,0,0,13,-1,2013-01-06 12:31:49,2013-01-25 08:59:14,13000246CF10A,2013-01-06,,1,F,Grand Theft in the 3rd Degree,1,13003640CF10A,(F3),0,2013-03-13,Felony Petit Theft,2013-03-13,2013-07-20,,1,13014344CF10A,(F3),2013-10-06,Battery on Law Enforc Officer,Risk of Recidivism,8,High,2013-01-07,Risk of Violence,3,Low,2013-01-07,2013-03-13,2013-07-20,13,18,65,1,1,1 +7811,jose benites,jose,benites,2013-09-27,Male,1972-09-08,43,25 - 45,Caucasian,0,1,0,0,1,-1,2013-09-26 07:30:58,2013-09-27 07:56:36,13018339MM10A,2013-09-26,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-27,Risk of Violence,1,Low,2013-09-27,2013-09-26,2013-09-27,1,0,917,0,0,0 +7812,marshall higgs,marshall,higgs,2013-02-27,Male,1988-11-26,27,25 - 45,African-American,0,10,5,1,27,0,2013-02-27 05:59:45,2013-02-27 07:50:16,13004095MM10A,2013-02-27,,0,M,Possess Cannabis/20 Grams Or Less,1,14008267MM10A,(M1),0,2014-05-05,Possess Cannabis/20 Grams Or Less,2014-05-05,2014-06-17,,1,14006274CF10A,(F2),2014-05-05,Aggravated Battery / Pregnant,Risk of Recidivism,10,High,2013-02-27,Risk of Violence,9,High,2013-02-27,2013-05-17,2013-11-24,27,0,79,0,1,1 +7813,james jackson,james,jackson,2013-03-21,Male,1990-03-25,26,25 - 45,African-American,0,6,0,0,7,-1,2013-03-20 03:58:00,2013-03-21 07:18:31,13004012CF10A,2013-03-20,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-21,Risk of Violence,6,Medium,2013-03-21,2014-08-19,2015-05-13,7,0,516,0,0,0 +7817,jelissa garcia,jelissa,garcia,2013-09-05,Male,1989-04-03,27,25 - 45,Hispanic,0,2,0,0,0,-1,2013-09-04 11:06:07,2013-09-05 07:54:41,13016930MM10A,2013-09-04,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2013-09-04,2013-09-05,0,0,939,0,0,0 +7818,jay fisher,jay,fisher,2013-11-29,Male,1975-02-08,41,25 - 45,Caucasian,0,5,0,0,1,0,2013-11-29 02:47:41,2014-01-30 11:45:51,07011575CF10A,,2013-11-29,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-29,Risk of Violence,7,Medium,2013-11-29,2013-11-29,2014-01-30,1,62,854,0,0,0 +7820,corneilus sampson,corneilus,sampson,2014-09-05,Male,1985-05-18,30,25 - 45,African-American,0,2,0,0,4,-1,2014-09-04 07:57:39,2014-09-05 09:06:40,14013261MM10A,2014-09-04,,1,M,Battery,1,16001713CF10A,(F3),0,2016-02-09,Aggravated Assault W/Dead Weap,2016-02-09,2016-02-10,,1,16001713CF10A,(F3),2016-02-09,Aggravated Assault W/Dead Weap,Risk of Recidivism,2,Low,2014-09-05,Risk of Violence,2,Low,2014-09-05,2016-02-09,2016-02-10,4,0,522,1,1,1 +7821,jonathan lauf,jonathan,lauf,2013-01-12,Male,1985-11-07,30,25 - 45,Caucasian,0,8,0,0,1,-1,2013-01-11 02:26:13,2013-01-12 04:40:26,13000541CF10A,2013-01-11,,1,F,Possession Of Fentanyl,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,3,Low,2013-01-12,2014-12-09,2014-12-11,1,0,696,0,0,0 +7834,travon bentley,travon,bentley,2013-11-19,Male,1982-11-11,33,25 - 45,African-American,0,2,0,0,1,-17,2013-11-02 05:15:33,2013-11-03 01:25:20,13015279CF10A,2013-11-02,,17,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-19,Risk of Violence,1,Low,2013-11-19,2015-05-04,2015-05-11,1,0,531,0,0,0 +7835,daniel spencer,daniel,spencer,2013-10-22,Male,1975-10-26,40,25 - 45,African-American,0,3,0,0,11,-1,2013-10-21 04:00:29,2013-10-21 08:15:51,13019922MM10A,2013-10-21,,1,M,Driving License Suspended,1,14015923TC10A,(M2),,2014-04-09,Susp Drivers Lic 1st Offense,,,,1,15009330MM10A,(M1),2015-08-10,Battery,Risk of Recidivism,3,Low,2013-10-22,Risk of Violence,2,Low,2013-10-22,2013-10-21,2013-10-21,11,0,169,1,1,1 +7837,jeffry morgan,jeffry,morgan,2014-02-26,Male,1959-09-28,56,Greater than 45,Caucasian,0,2,0,0,1,0,2014-02-26 02:55:56,2014-03-13 08:51:59,14002703CF10A,2014-02-26,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2014-02-26,2014-03-13,1,15,765,0,0,0 +7840,indiana smith,indiana,smith,2013-04-10,Male,1994-02-16,22,Less than 25,Caucasian,0,2,0,0,1,-36,2013-03-05 11:23:03,2013-03-06 07:15:04,13003288CF10A,2013-03-05,,36,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,5,Medium,2013-04-10,2014-12-31,2015-01-09,1,0,630,0,0,0 +7842,tommy robinson,tommy,robinson,2013-02-13,Male,1965-03-01,51,Greater than 45,African-American,0,1,0,0,4,-28,2013-01-16 08:10:42,2013-01-18 04:32:26,13000786CF10A,2013-01-16,,28,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,2,Low,2013-02-13,2013-01-16,2013-01-18,4,0,1143,0,0,0 +7843,edgar ceron,edgar,ceron,2013-09-04,Male,1979-08-06,36,25 - 45,Caucasian,0,1,0,0,0,0,2013-09-04 06:00:32,2013-09-05 05:33:52,13016957MM10A,2013-09-04,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-04,2013-09-05,0,1,940,0,0,0 +7846,joel dominguez,joel,dominguez,2013-02-10,Male,1991-04-02,25,25 - 45,Hispanic,0,6,0,0,3,-1,2013-02-09 11:26:36,2013-02-10 07:48:25,13002032CF10A,2013-02-09,,1,F,Possession of Cocaine,1,14006224CF10A,(F3),,2014-05-04,Possession of Cocaine,,,,1,15009919CF10A,(M1),2015-08-01,Discharge Firearm in Public/Res,Risk of Recidivism,6,Medium,2013-02-10,Risk of Violence,4,Low,2013-02-10,2016-02-01,2016-04-19,3,0,448,1,1,1 +7847,jack jackson,jack,jackson,2014-02-06,Male,1985-11-05,30,25 - 45,Caucasian,0,1,0,0,0,0,2014-02-06 04:06:20,2014-02-06 08:57:25,14004841MU10A,2014-02-06,,0,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,2,Low,2014-02-06,2014-02-06,2014-02-06,0,0,785,0,0,0 +7848,caitlin carter,caitlin,carter,2013-05-25,Female,1994-10-13,21,Less than 25,Caucasian,0,5,0,0,0,-1,2013-05-24 12:37:03,2013-05-25 08:02:40,13007442CF10A,2013-05-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-25,Risk of Violence,6,Medium,2013-05-25,2013-10-17,2013-12-21,0,0,145,0,0,0 +7851,valentin del-carmen,valentin,del-carmen,2013-01-13,Male,1978-03-10,38,25 - 45,Hispanic,0,2,0,0,0,0,2013-01-13 03:01:20,2013-01-14 08:35:03,13000580CF10A,2013-01-13,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-13,Risk of Violence,2,Low,2013-01-13,2013-01-13,2013-01-14,0,1,1174,0,0,0 +7859,edward greenfield,edward,greenfield,2014-08-29,Male,1986-05-30,29,25 - 45,Other,0,6,0,0,8,-1,2014-08-28 09:55:48,2014-08-29 08:18:56,14011759CF10A,2014-08-28,,1,F,Felony Petit Theft,1,15021769TC20A,(M2),,2015-03-27,Driving License Suspended,,,,1,15006304CF10A,(F2),2015-05-14,Robbery / No Weapon,Risk of Recidivism,6,Medium,2014-08-29,Risk of Violence,6,Medium,2014-08-29,2014-10-20,2014-10-21,8,0,52,0,1,1 +7864,kimberly ginnie,kimberly,ginnie,2013-02-15,Female,1975-10-05,40,25 - 45,African-American,0,1,0,0,2,-1,2013-02-14 09:23:00,2013-02-15 12:12:17,13002321CF10A,2013-02-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-15,Risk of Violence,1,Low,2013-02-15,2013-02-14,2013-02-15,2,0,1141,0,0,0 +7867,anthony kiffin,anthony,kiffin,2013-09-11,Male,1978-09-19,37,25 - 45,African-American,0,3,0,0,2,-13,2013-08-29 05:03:55,2013-09-05 12:21:23,13012230CF10A,2013-08-29,,13,F,Burglary With Assault/battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-11,Risk of Violence,2,Low,2013-09-11,2013-08-29,2013-09-05,2,0,933,0,0,0 +7868,taneka dean,taneka,dean,2013-05-20,Female,1978-09-08,37,25 - 45,African-American,0,3,0,0,0,-3,2013-05-17 09:06:49,2013-05-18 08:14:43,13007071CF10A,2013-05-17,,3,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-20,Risk of Violence,2,Low,2013-05-20,2013-05-17,2013-05-18,0,0,1047,0,0,0 +7869,jasmine trump,jasmine,trump,2013-09-05,Female,1993-01-04,23,Less than 25,African-American,0,5,0,0,2,-2,2013-09-03 04:05:37,2013-09-04 08:26:49,13010159CF10A,,2013-09-03,2,F,arrest case no charge,1,14007234MM10A,(M1),0,2014-05-01,Battery,2014-05-01,2014-05-31,,1,14007234MM10A,(M1),2014-05-01,Battery,Risk of Recidivism,5,Medium,2013-09-05,Risk of Violence,5,Medium,2013-09-05,2014-05-01,2014-05-31,2,0,238,1,1,1 +7870,raymond nelson,raymond,nelson,2013-03-21,Male,1960-06-16,55,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-03-20 04:29:14,2013-03-21 02:12:17,13004028CF10A,2013-03-20,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-03-20,2013-03-21,0,0,1107,0,0,0 +7871,james zebo,james,zebo,2014-11-02,Male,1996-05-05,19,Less than 25,African-American,0,4,0,0,1,-1,2014-11-01 11:47:12,2014-11-05 10:52:42,14014683CF10A,2014-11-01,,1,F,Dealing in Stolen Property,1,15003695MM10A,(M1),0,2015-03-30,Battery,2015-03-30,2015-04-08,,1,15003695MM10A,(M1),2015-03-30,Battery,Risk of Recidivism,4,Low,2014-11-02,Risk of Violence,7,Medium,2014-11-02,2015-03-30,2015-04-08,1,3,148,1,1,1 +7881,rashad bogans,rashad,bogans,2013-04-26,Male,1990-10-13,25,25 - 45,African-American,0,3,0,0,0,-1,2013-04-25 06:46:34,2013-04-26 07:16:35,13007997MM10A,2013-04-25,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-26,Risk of Violence,5,Medium,2013-04-26,2013-07-23,2013-07-26,0,0,88,0,0,0 +7882,karen bryden,karen,bryden,2013-07-29,Male,1967-05-31,48,Greater than 45,Caucasian,0,2,0,0,3,621,2015-04-11 01:28:32,2015-04-17 10:05:30,13010433CF10A,2013-07-25,,4,F,Possession Of Heroin,1,16002503MM10A,(M1),0,2016-03-15,Trespass Other Struct/Convey,2016-03-15,2016-03-16,,0,,,,,Risk of Recidivism,2,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2015-04-11,2015-04-17,3,0,621,0,0,0 +7890,eric barker,eric,barker,2013-05-26,Male,1989-06-21,26,25 - 45,African-American,0,8,0,0,6,0,2013-05-26 03:26:17,2013-06-05 10:17:58,13021590TC10A,2013-05-26,,0,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-26,Risk of Violence,6,Medium,2013-05-26,2014-01-14,2014-01-23,6,10,233,0,0,0 +7894,gregory calix,gregory,calix,2013-11-19,Male,1995-10-09,20,Less than 25,African-American,0,8,0,0,0,-1,2013-11-18 07:33:48,2013-12-18 09:34:42,13016012CF10A,2013-11-18,,1,F,Att Burgl Unoccupied Dwel,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-11-19,Risk of Violence,8,High,2013-11-19,2013-11-18,2013-12-18,0,29,864,0,0,0 +7895,melissa slason,melissa,slason,2013-02-11,Female,1972-08-27,43,25 - 45,Caucasian,0,1,0,0,0,-1,2013-02-10 02:39:21,2013-02-11 04:05:45,13002962MM10A,2013-02-10,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-11,0,0,1145,0,0,0 +7898,clifford hyman,clifford,hyman,2013-08-17,Male,1980-08-12,35,25 - 45,African-American,0,3,0,0,2,-1,2013-08-16 05:44:10,2013-08-17 07:39:31,13011506CF10A,2013-08-16,,1,F,Trespassing/Construction Site,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-17,Risk of Violence,2,Low,2013-08-17,2013-08-16,2013-08-17,2,0,958,0,0,0 +7901,roberto teruggi,roberto,teruggi,2013-08-27,Male,1990-07-13,25,25 - 45,Caucasian,0,7,0,0,6,39,2013-10-05 11:29:40,2013-11-29 01:08:45,13012730MM10A,2013-07-03,,55,M,Battery,1,14001206MM40A,(M1),,2014-02-28,Possess Cannabis/20 Grams Or Less,,,,1,14003676CF10A,(F3),2014-03-15,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-08-27,Risk of Violence,5,Medium,2013-08-27,2013-10-05,2013-11-29,6,0,39,0,1,1 +7902,thomas carter,thomas,carter,2013-05-26,Male,1961-01-17,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-25 05:28:09,2013-05-26 08:34:54,13010065MM10A,2013-05-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-26,0,0,1041,0,0,0 +7903,mary oneal,mary,oneal,2013-03-21,Female,1964-02-08,52,Greater than 45,African-American,0,1,0,0,0,0,2013-03-21 12:52:08,2013-03-21 06:13:19,13005478MM10A,2013-03-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-21,Risk of Violence,1,Low,2013-03-21,2013-03-21,2013-03-21,0,0,1107,0,0,0 +7904,zezelda wright,zezelda,wright,2013-09-06,Female,1982-05-25,33,25 - 45,African-American,0,9,0,0,0,-1,2013-09-05 03:46:16,2013-09-12 08:10:49,13016988MM10A,2013-09-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-06,Risk of Violence,6,Medium,2013-09-06,2013-09-05,2013-09-12,0,6,938,0,0,0 +7905,teron sterling,teron,sterling,2013-01-25,Male,1985-10-02,30,25 - 45,Other,0,1,0,0,0,-1,2013-01-24 01:38:57,2013-01-25 07:33:52,13001153CF10A,,2013-01-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-25,Risk of Violence,2,Low,2013-01-25,2013-01-24,2013-01-25,0,0,1162,0,0,0 +7909,joseph gray,joseph,gray,2014-03-02,Male,1949-04-19,67,Greater than 45,African-American,0,4,0,0,8,-1,2014-03-01 09:29:59,2014-03-03 02:05:54,14002922CF10A,2014-03-01,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-02,Risk of Violence,2,Low,2014-03-02,2014-03-01,2014-03-03,8,1,761,0,0,0 +7910,addlin etienne,addlin,etienne,2013-10-27,Male,1984-09-26,31,25 - 45,African-American,0,4,0,0,7,-1,2013-10-26 05:44:07,2013-10-27 08:13:55,13020316MM10A,2013-10-26,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-27,Risk of Violence,2,Low,2013-10-27,2013-10-26,2013-10-27,7,0,887,0,0,0 +7913,mark montgomery,mark,montgomery,2013-03-24,Male,1985-11-03,30,25 - 45,African-American,0,8,0,0,4,-1,2013-03-23 01:32:34,2013-03-28 09:37:27,13005696MM10A,2013-03-23,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-24,Risk of Violence,4,Low,2013-03-24,2013-03-23,2013-03-28,4,4,1104,0,0,0 +7914,john davis,john,davis,2013-03-11,Male,1960-06-25,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-10 12:30:14,2013-03-11 02:00:14,13004813MM10A,2013-03-09,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-06-03,2013-06-19,0,0,84,0,0,0 +7915,kyle scott,kyle,scott,2013-03-01,Male,1991-03-23,25,25 - 45,African-American,0,2,0,0,0,0,2013-03-01 03:57:35,2013-03-02 05:35:14,13003139CF10A,2013-03-01,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-01,Risk of Violence,3,Low,2013-03-01,2013-03-01,2013-03-02,0,1,1127,0,0,0 +7916,ronel lamour,ronel,lamour,2013-02-12,Male,1990-10-07,25,25 - 45,African-American,0,7,0,0,0,0,2013-02-12 01:53:34,2013-02-12 09:28:20,13002112CF10A,2013-02-11,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-12,Risk of Violence,5,Medium,2013-02-12,2013-04-10,2013-04-11,0,0,57,0,0,0 +7917,gurden cunningham,gurden,cunningham,2013-06-26,Male,1969-03-18,47,Greater than 45,African-American,0,8,0,0,17,-55,2013-05-02 01:02:39,2013-05-02 07:40:25,13006244CF10A,2013-05-01,,56,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-06-26,Risk of Violence,2,Low,2013-06-26,2015-08-18,2015-08-19,17,0,783,0,0,0 +7920,dominique williams,dominique,williams,2013-10-30,Male,1993-08-05,22,Less than 25,African-American,0,4,0,0,0,0,2013-10-30 02:46:16,2013-10-30 09:15:53,13015136CF10A,2013-10-29,,1,F,Possess w/I/Utter Forged Bills,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-30,Risk of Violence,5,Medium,2013-10-30,2013-10-30,2013-10-30,0,0,884,0,0,0 +7922,thony ferdinand,thony,ferdinand,2013-03-02,Male,1978-05-21,37,25 - 45,African-American,0,6,0,0,8,0,2013-03-02 01:21:18,2013-03-03 04:34:08,13003147CF10A,,2013-03-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-02,Risk of Violence,4,Low,2013-03-02,2013-09-12,2013-11-13,8,1,194,0,0,0 +7923,john dudas,john,dudas,2013-02-06,Male,1948-03-23,68,Greater than 45,Caucasian,0,7,0,0,7,-1,2013-02-05 05:11:31,2013-02-10 10:00:25,13001782CF10A,2013-02-04,,2,F,Aggravated Assault W/dead Weap,1,14007384MM10A,(M1),0,2014-05-04,Battery,2014-05-04,2014-05-20,,1,14007384MM10A,(M1),2014-05-04,Battery,Risk of Recidivism,7,Medium,2013-02-06,Risk of Violence,6,Medium,2013-02-06,2014-05-04,2014-05-20,7,4,452,1,1,1 +7928,garry letsky,garry,letsky,2013-09-08,Male,1979-03-17,37,25 - 45,Caucasian,0,6,0,0,0,0,2013-09-08 04:52:48,2013-09-09 02:05:47,13012686CF10A,2013-09-07,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-08,Risk of Violence,3,Low,2013-09-08,2013-09-08,2013-09-09,0,1,936,0,0,0 +7929,nioka myrie,nioka,myrie,2013-11-20,Female,1974-04-08,42,25 - 45,African-American,0,1,0,0,1,-49,2013-10-02 03:57:20,2013-10-24 02:05:41,13013830CF10A,2013-10-02,,49,F,Grand Theft on 65 Yr or Older,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-20,Risk of Violence,1,Low,2013-11-20,2013-10-02,2013-10-24,1,0,863,0,0,0 +7931,vantonio wilson,vantonio,wilson,2014-03-09,Male,1985-09-13,30,25 - 45,African-American,0,2,0,0,4,-1,2014-03-08 06:53:55,2014-03-09 09:49:38,14004041MM10A,2014-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-09,Risk of Violence,2,Low,2014-03-09,2014-03-08,2014-03-09,4,0,754,0,0,0 +7932,clinton marshall,clinton,marshall,2013-06-17,Male,1982-03-04,34,25 - 45,African-American,0,2,0,0,1,-3,2013-06-14 07:49:13,2013-06-16 12:55:15,13008453CF10A,2013-06-14,,3,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-17,Risk of Violence,2,Low,2013-06-17,2015-01-10,2015-01-14,1,0,572,0,0,0 +7935,woodson tarin,woodson,tarin,2013-04-15,Male,1988-03-13,28,25 - 45,Other,0,1,0,0,0,-1,2013-04-14 08:51:52,2013-04-16 11:03:36,13007202MM10A,2013-04-14,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,2,Low,2013-04-15,2013-04-14,2013-04-16,0,1,1082,0,0,0 +7936,brian marcantel,brian,marcantel,2014-07-08,Male,1978-08-17,37,25 - 45,Caucasian,0,5,0,0,4,-18,2014-06-20 08:59:53,2014-06-21 07:10:18,14009688MM10A,2014-06-20,,18,M,Possess Cannabis/20 Grams Or Less,1,16000237CF10A,(F3),0,2016-01-06,Depriv LEO of Protect/Communic,2016-01-06,2016-03-28,,1,16000237CF10A,(F3),2016-01-06,Aggravated Assault W/Dead Weap,Risk of Recidivism,5,Medium,2014-07-08,Risk of Violence,5,Medium,2014-07-08,2016-01-06,2016-03-28,4,0,547,1,1,1 +7943,carlos verne,carlos,verne,2014-03-07,Male,1963-05-22,52,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-06 11:57:06,2014-03-07 08:44:57,14003925MM10A,2014-03-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-07,Risk of Violence,1,Low,2014-03-07,2014-03-06,2014-03-07,0,0,756,0,0,0 +7944,michael ryan,michael,ryan,2013-04-09,Male,1979-06-25,36,25 - 45,Caucasian,0,1,0,0,2,-17,2013-03-23 03:00:12,2013-03-24 02:12:19,13005702MM10A,2013-03-23,,17,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-03-23,2013-03-24,2,0,1088,0,0,0 +7945,ryan butler,ryan,butler,2013-04-01,Male,1989-05-24,26,25 - 45,Caucasian,0,2,0,0,2,-3,2013-03-29 01:48:34,2013-03-30 08:12:01,13004552CF10A,2013-03-29,,3,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-01,Risk of Violence,3,Low,2013-04-01,2013-03-29,2013-03-30,2,0,1096,0,0,0 +7946,joseph cataldo,joseph,cataldo,2013-01-23,Male,1991-10-08,24,Less than 25,Caucasian,0,2,0,0,0,0,2013-01-23 03:55:12,2013-02-07 08:39:52,13001092CF10A,2013-01-23,,0,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-23,Risk of Violence,3,Low,2013-01-23,2013-01-23,2013-02-07,0,15,1164,0,0,0 +7948,terrell hall,terrell,hall,2014-02-12,Male,1989-01-06,27,25 - 45,African-American,0,6,0,0,0,-1,2014-02-11 03:38:18,2014-02-13 04:01:59,14001955CF10A,2014-02-11,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-12,Risk of Violence,7,Medium,2014-02-12,2014-02-11,2014-02-13,0,1,779,0,0,0 +7949,radica singh,radica,singh,2013-12-27,Female,1979-03-28,37,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-27 03:37:41,2013-12-28 01:23:50,13023886MM10A,2013-12-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-27,Risk of Violence,1,Low,2013-12-27,2013-12-27,2013-12-28,0,1,826,0,0,0 +7952,keon james,keon,james,2013-01-04,Male,1984-11-10,31,25 - 45,African-American,0,6,0,0,1,650,2014-10-16 12:27:52,2014-10-23 02:44:46,12016300CF10A,,2012-12-13,22,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-04,Risk of Violence,6,Medium,2013-01-04,2014-10-16,2014-10-23,1,0,650,0,0,0 +7953,ricardo calderon,ricardo,calderon,2013-06-19,Male,1979-01-23,37,25 - 45,Hispanic,0,3,0,0,1,-1,2013-06-18 03:54:18,2013-06-18 05:45:50,13008601CF10A,2013-06-18,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-19,Risk of Violence,2,Low,2013-06-19,2013-06-18,2013-06-18,1,0,1017,0,0,0 +7958,thomas blauman,thomas,blauman,2013-04-21,Male,1957-08-11,58,Greater than 45,Caucasian,0,2,0,0,5,-1,2013-04-20 12:49:59,2013-04-23 07:33:14,13007654MM10A,2013-04-20,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-21,Risk of Violence,1,Low,2013-04-21,2013-11-28,2013-12-12,5,2,221,0,0,0 +7962,bernadette fleury,bernadette,fleury,2014-01-02,Female,1974-04-28,41,25 - 45,African-American,0,1,0,0,0,0,2014-01-02 12:18:04,2014-01-03 02:25:43,14000088CF10A,2014-01-01,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2014-01-02,2014-01-03,0,1,820,0,0,0 +7963,alan burga,alan,burga,2013-03-12,Male,1983-01-17,33,25 - 45,Hispanic,0,1,0,0,0,-1,2013-03-11 04:18:14,2013-03-12 01:14:05,13004888MM10A,2013-03-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-11,2013-03-12,0,0,1116,0,0,0 +7964,wanglee george,wanglee,george,2014-03-03,Male,1983-01-08,33,25 - 45,African-American,0,1,0,0,0,0,2014-03-03 03:25:46,2014-03-03 08:38:42,14003655MM10A,2014-03-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,1,Low,2014-03-03,2014-03-03,2014-03-03,0,0,760,0,0,0 +7969,david sanchez,david,sanchez,2013-05-10,Male,1993-11-16,22,Less than 25,Hispanic,0,3,0,0,0,-1,2013-05-09 01:18:03,2013-05-09 07:50:08,13006609CF10A,2013-05-09,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-10,Risk of Violence,5,Medium,2013-05-10,2013-05-09,2013-05-09,0,0,1057,0,0,0 +7972,erica johnson,erica,johnson,2013-09-30,Female,1982-06-23,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-09-29 09:25:30,2013-09-30 09:59:37,13013661CF10A,2013-09-29,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,0,0,914,0,0,0 +7973,antwan johnson,antwan,johnson,2013-05-29,Male,1990-12-28,25,25 - 45,African-American,0,6,0,0,0,-1,2013-05-28 08:19:30,2013-05-29 02:05:25,13010250MM10A,2013-05-28,,1,M,False Info LEO During Invest,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-29,Risk of Violence,5,Medium,2013-05-29,2013-05-28,2013-05-29,0,0,1038,0,0,0 +7974,najeh davenport,najeh,davenport,2013-03-26,Male,1979-02-08,37,25 - 45,African-American,0,1,0,0,0,-1,2013-03-25 07:15:23,2013-03-26 07:49:33,13005852MM10A,2013-03-25,,1,M,Battery,1,13014172CF10A,(M2),0,2013-10-09,Burglary Conveyance Occupied,2013-10-09,2013-10-09,,1,13014172CF10A,(M1),2013-10-09,Battery,Risk of Recidivism,1,Low,2013-03-26,Risk of Violence,1,Low,2013-03-26,2013-10-09,2013-10-09,0,0,197,0,1,1 +7977,jason grant,jason,grant,2013-08-18,Male,1994-11-06,21,Less than 25,African-American,0,9,0,0,0,-1,2013-08-17 05:45:53,2013-08-18 06:27:56,13015612MM10A,2013-08-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-18,Risk of Violence,9,High,2013-08-18,2013-08-17,2013-08-18,0,0,957,0,0,0 +7981,christopher kirby,christopher,kirby,2014-01-01,Male,1979-03-18,37,25 - 45,Caucasian,1,7,6,0,13,-1,2013-12-31 04:20:51,2014-01-01 09:05:13,14000024CF10A,2013-12-31,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-01,Risk of Violence,3,Low,2014-01-01,2013-12-31,2014-01-01,13,0,821,0,0,0 +7983,jamal cook,jamal,cook,2013-05-21,Male,1991-12-09,24,Less than 25,African-American,0,4,0,0,2,-1,2013-05-20 02:27:24,2013-05-24 02:22:59,13009722MM10A,2013-05-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-21,Risk of Violence,7,Medium,2013-05-21,2013-08-09,2013-10-04,2,3,80,0,0,0 +7985,saleem bligen,saleem,bligen,2013-12-16,Male,1980-12-25,35,25 - 45,African-American,0,4,0,0,0,-1,2013-12-15 09:42:58,2013-12-17 08:38:26,13017316CF10A,2013-12-15,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-16,Risk of Violence,3,Low,2013-12-16,2013-12-15,2013-12-17,0,1,837,0,0,0 +7987,travis fischer,travis,fischer,2013-01-15,Male,1986-10-29,29,25 - 45,Caucasian,4,9,1,0,10,-1,2013-01-14 09:30:03,2013-01-17 03:17:08,13000624CF10A,2013-01-14,,1,F,Burglary Conveyance Unoccup,1,13011287CF10A,(F3),,2013-03-28,Grand Theft Firearm,,,,1,13006458CF10A,(F2),2013-05-03,Agg Battery Grt/Bod/Harm,Risk of Recidivism,9,High,2013-01-15,Risk of Violence,5,Medium,2013-01-15,2013-01-14,2013-01-17,10,2,72,1,1,1 +7988,herbert rozier,herbert,rozier,2013-10-19,Male,1974-08-07,41,25 - 45,African-American,2,3,0,0,6,-1,2013-10-18 12:47:10,2013-10-20 02:14:19,13014612CF10A,2013-10-18,,1,F,Felony Battery w/Prior Convict,1,15003811MM10A,(M1),0,2015-04-01,Battery,2015-04-01,2015-04-02,,1,15003811MM10A,(M1),2015-04-01,Battery,Risk of Recidivism,3,Low,2013-10-19,Risk of Violence,2,Low,2013-10-19,2013-12-02,2014-02-11,6,1,44,0,1,1 +7989,lorenzo gayle,lorenzo,gayle,2013-03-26,Male,1994-03-04,22,Less than 25,African-American,0,7,0,0,3,-35,2013-02-19 05:21:54,2013-02-20 06:33:18,13002538CF10A,2013-02-19,,35,F,Grand Theft in the 3rd Degree,1,14000843CF10A,(F3),0,2014-01-20,Robbery Sudd Snatch No Weapon,2014-01-20,2014-05-09,,1,14000843CF10A,(F3),2014-01-20,Robbery Sudd Snatch No Weapon,Risk of Recidivism,7,Medium,2013-03-26,Risk of Violence,9,High,2013-03-26,2014-01-20,2014-05-09,3,0,300,1,1,1 +7991,zico spencer,zico,spencer,2013-01-17,Male,1982-03-22,34,25 - 45,African-American,2,7,1,0,5,264,2013-10-08 12:25:23,2013-10-17 06:34:31,04012577TC10A,2004-01-26,,3279,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-17,Risk of Violence,2,Low,2013-01-17,2013-10-08,2013-10-17,5,0,264,0,0,0 +8002,jonana allen,jonana,allen,2014-01-21,Male,1969-04-24,46,Greater than 45,African-American,0,7,0,0,2,-17,2014-01-04 07:50:22,2014-01-08 03:01:39,08027016MM10A,2008-11-13,,1895,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-21,Risk of Violence,6,Medium,2014-01-21,2014-01-04,2014-01-08,2,0,801,0,0,0 +8003,apolinar meza,apolinar,meza,2013-08-06,Male,1974-07-23,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-08-05 05:06:05,2013-08-09 03:55:02,13010978CF10A,2013-08-05,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-06,Risk of Violence,1,Low,2013-08-06,2013-08-05,2013-08-09,0,3,969,0,0,0 +8007,davidson nougues,davidson,nougues,2013-02-28,Male,1990-05-04,25,25 - 45,African-American,0,9,0,0,2,0,2013-02-28 12:20:59,2013-03-01 04:14:50,13003027CF10A,2013-02-27,,1,F,Threat Public Servant,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-28,Risk of Violence,9,High,2013-02-28,2013-06-20,2013-06-21,2,1,112,0,0,0 +8008,marquis gause,marquis,gause,2013-08-20,Male,1988-09-13,27,25 - 45,African-American,0,5,0,0,1,-1,2013-08-19 05:36:35,2013-08-21 07:50:24,13035744TC10A,2013-08-19,,1,M,Fail Register Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-20,Risk of Violence,2,Low,2013-08-20,2015-10-02,2020-01-01,1,1,773,0,0,0 +8009,ralph bellamy,ralph,bellamy,2014-10-23,Male,1984-08-18,31,25 - 45,African-American,1,9,1,1,13,-1,2014-10-22 08:58:25,2014-10-24 04:21:11,14014243CF10A,2014-10-22,,1,F,Poss Pyrrolidinovalerophenone,1,16000253CF10A,(F2),,2016-01-05,Agg Batt W/Arm S/B/I 25 Min/Ma,,,,1,16000253CF10A,(F2),2016-01-05,Agg Batt W/Arm S/B/I 25 Min/Ma,Risk of Recidivism,9,High,2014-10-23,Risk of Violence,8,High,2014-10-23,2014-10-22,2014-10-24,13,1,439,1,1,1 +8010,philip scire,philip,scire,2014-02-24,Male,1992-09-02,23,Less than 25,Caucasian,0,4,0,0,0,-3,2014-02-21 05:05:49,2014-02-21 08:12:19,14006811MU10A,2014-02-21,,3,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-24,Risk of Violence,4,Low,2014-02-24,2014-02-21,2014-02-21,0,0,767,0,0,0 +8019,janice palmer,janice,palmer,2013-01-28,Female,1967-04-06,49,Greater than 45,Caucasian,0,2,0,0,0,-3,2013-01-25 09:46:53,2013-01-26 09:09:41,13001247CF10A,2013-01-25,,3,F,Del Cannabis For Consideration,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-28,Risk of Violence,2,Low,2013-01-28,2013-01-25,2013-01-26,0,0,1159,0,0,0 +8021,timothy cosman,timothy,cosman,2013-04-12,Male,1967-01-19,49,Greater than 45,Caucasian,0,2,0,0,8,-24,2013-03-19 06:42:18,2013-04-12 07:58:01,13003996CF10A,2013-03-19,,24,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-12,Risk of Violence,1,Low,2013-04-12,2014-05-23,2014-12-16,8,0,406,0,0,0 +8023,leevaughn cameron,leevaughn,cameron,2013-03-24,Male,1975-03-28,41,25 - 45,African-American,0,3,0,0,7,-2,2013-03-22 10:17:54,2013-03-24 02:12:36,12001255TC10A,,2013-03-22,2,M,arrest case no charge,1,15010857MM10A,(M1),0,2015-10-16,Criminal Mischief>$200<$1000,2015-10-16,2015-10-17,,0,,,,,Risk of Recidivism,3,Low,2013-03-24,Risk of Violence,2,Low,2013-03-24,2015-10-16,2015-10-17,7,0,936,1,0,0 +8028,alexandria piercy,alexandria,piercy,2014-11-26,Female,1996-03-11,20,Less than 25,Caucasian,0,10,0,0,0,0,2014-11-26 01:14:13,2014-11-26 08:37:39,14015897CF10A,,2014-11-25,1,F,arrest case no charge,1,14017920MM10A,(M1),0,2014-12-21,Battery,2014-12-21,2014-12-22,,1,14017920MM10A,(M1),2014-12-21,Battery,Risk of Recidivism,10,High,2014-11-26,Risk of Violence,9,High,2014-11-26,2014-12-21,2014-12-22,0,0,25,1,1,1 +8031,darian jordan,darian,jordan,2014-05-09,Male,1971-05-19,44,25 - 45,African-American,0,8,0,0,8,-1,2014-05-08 12:27:25,2014-05-18 04:40:00,14007615MM10A,2014-05-08,,1,M,Battery,1,15015948CF10A,(F2),0,2015-12-13,Aggrav Battery w/Deadly Weapon,2015-12-13,2015-12-15,,1,15015948CF10A,(F2),2015-12-13,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,8,High,2014-05-09,Risk of Violence,5,Medium,2014-05-09,2015-12-13,2015-12-15,8,9,583,1,1,1 +8032,gregory williams,gregory,williams,2013-01-29,Male,1974-09-19,41,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-29 03:02:10,2013-01-29 08:32:31,13002085MM10A,2013-01-29,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-29,Risk of Violence,1,Low,2013-01-29,2013-01-29,2013-01-29,0,0,1158,0,0,0 +8035,moses taulbert,moses,taulbert,2013-10-15,Male,1984-06-10,31,25 - 45,African-American,0,9,1,0,5,-1,2013-10-14 09:06:13,2013-10-15 07:40:33,13019482MM10A,2013-10-14,,1,M,Battery,1,14007256MM10A,(M1),0,2014-05-01,Battery,2014-05-01,2014-05-03,,1,14007256MM10A,(M1),2014-05-01,Battery,Risk of Recidivism,9,High,2013-10-15,Risk of Violence,3,Low,2013-10-15,2014-05-01,2014-05-03,5,0,198,1,1,1 +8036,rodrigo pinedaboteo,rodrigo,pinedaboteo,2014-03-31,Male,1974-04-15,42,25 - 45,Hispanic,0,1,0,0,1,-3,2014-03-28 10:46:35,2014-03-29 09:04:01,14012344MU10A,2014-03-28,,3,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-28,2014-03-29,1,0,732,0,0,0 +8038,carrie salter,carrie,salter,2013-01-28,Female,1948-10-16,67,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-27 07:23:13,2013-01-29 05:24:01,13001330CF10A,2013-01-27,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-29,0,1,1159,0,0,0 +8039,stephen league,stephen,league,2014-01-13,Male,1974-03-02,42,25 - 45,Caucasian,0,2,0,0,1,-3,2014-01-10 12:09:47,2014-01-10 07:57:22,14000503MO10A,2014-01-09,,4,M,Possession Of Paraphernalia,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-10,2014-01-10,1,0,809,0,0,0 +8040,dyontae ferguson,dyontae,ferguson,2013-12-04,Male,1990-05-04,25,25 - 45,African-American,0,3,0,0,0,-1,2013-12-03 01:28:45,2014-01-06 09:00:31,13016990CF10A,,2013-12-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-04,Risk of Violence,4,Low,2013-12-04,2013-12-03,2014-01-06,0,33,849,0,0,0 +8042,rayan pinnock,rayan,pinnock,2014-02-26,Male,1972-10-11,43,25 - 45,Other,0,1,0,0,2,-1,2014-02-25 01:35:38,2014-02-26 09:51:09,14003277MM10A,2014-02-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2014-02-25,2014-02-26,2,0,765,0,0,0 +8045,brandon amato,brandon,amato,2013-01-28,Male,1992-08-05,23,Less than 25,Caucasian,0,9,0,0,6,0,2013-01-28 05:06:16,2013-02-03 02:50:43,13001363CF10A,2013-01-28,,0,F,Possession Of Alprazolam,1,13009162CF10A,(F3),0,2013-06-29,Resist Officer w/Violence,2013-06-29,2014-02-18,,1,13009162CF10A,(F3),2013-06-29,Battery on Law Enforc Officer,Risk of Recidivism,9,High,2013-01-28,Risk of Violence,6,Medium,2013-01-28,2013-06-29,2014-02-18,6,6,152,1,1,1 +8047,lawrence williams,lawrence,williams,2013-05-29,Male,1992-07-26,23,Less than 25,African-American,0,2,1,0,2,-1,2013-05-28 11:49:22,2013-05-29 02:04:51,13007599CF10A,2013-05-28,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-29,Risk of Violence,4,Low,2013-05-29,2013-05-28,2013-05-29,2,0,1038,0,0,0 +8048,joel torres,joel,torres,2013-08-11,Male,1982-06-03,33,25 - 45,Caucasian,0,3,0,0,2,-1,2013-08-10 06:29:43,2013-08-12 03:36:30,13011237CF10A,2013-08-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-11,Risk of Violence,1,Low,2013-08-11,2013-08-10,2013-08-12,2,1,964,0,0,0 +8049,gregory young,gregory,young,2013-05-03,Male,1974-08-12,41,25 - 45,Caucasian,0,1,0,0,0,0,2013-05-03 02:50:28,2013-05-04 02:49:49,13008623MM10A,2013-05-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-03,Risk of Violence,1,Low,2013-05-03,2013-05-03,2013-05-04,0,1,1064,0,0,0 +8050,deborah demenezes,deborah,demenezes,2013-05-28,Female,1985-01-02,31,25 - 45,Caucasian,0,2,0,0,1,-2,2013-05-26 09:44:58,2013-05-27 01:13:35,11001942CF10A,,2013-05-26,2,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-05-26,2013-05-27,1,0,1039,0,0,0 +8052,rochelle sutton,rochelle,sutton,2013-01-10,Female,1992-12-18,23,Less than 25,African-American,0,8,0,0,2,126,2013-05-16 11:24:35,2013-05-17 08:02:12,13001778TC10A,2013-01-10,,0,M,Susp Drivers Lic 1st Offense,1,13014727TC20A,(M2),77,2013-02-28,Driving License Suspended,2013-05-16,2013-05-17,,1,15006870MM10A,(M1),2015-06-26,Battery,Risk of Recidivism,8,High,2013-01-10,Risk of Violence,6,Medium,2013-01-10,2015-06-26,2015-06-28,2,0,49,1,1,1 +8054,joseph barry,joseph,barry,2013-02-02,Male,1962-10-13,53,Greater than 45,African-American,0,4,0,0,5,-1,2013-02-01 11:18:12,2013-11-26 06:43:53,13001629CF10A,2013-02-01,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-02,Risk of Violence,1,Low,2013-02-02,2013-11-26,2014-01-14,5,346,1154,0,0,0 +8056,samuel wesley,samuel,wesley,2013-08-19,Male,1979-05-28,36,25 - 45,African-American,0,1,0,0,1,0,2013-08-19 05:01:46,2013-08-19 07:34:52,13015748MM10A,2013-08-19,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-19,2013-08-19,1,0,956,0,0,0 +8059,john campbell,john,campbell,2013-04-25,Male,1957-10-03,58,Greater than 45,Caucasian,0,3,0,0,10,0,2013-04-25 02:34:13,2013-04-25 08:03:17,13017986TC10A,2013-04-25,,0,M,Driving License Suspended,1,16003775CF10A,(F2),,2016-03-29,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-25,2013-04-25,10,0,1069,1,0,0 +8060,robert schoen,robert,schoen,2013-05-13,Male,1953-12-03,62,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-12 05:43:25,2013-05-15 07:42:03,13006809CF10A,2013-05-12,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-13,Risk of Violence,1,Low,2013-05-13,2013-05-12,2013-05-15,0,2,1054,0,0,0 +8061,jordan zachary,jordan,zachary,2013-12-23,Male,1990-05-03,25,25 - 45,Caucasian,0,6,0,0,4,-1,2013-12-22 05:37:28,2013-12-23 06:32:58,13017644CF10A,2013-12-22,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-12-23,Risk of Violence,3,Low,2013-12-23,2013-12-22,2013-12-23,4,0,830,0,0,0 +8063,emilio alfonso,emilio,alfonso,2013-03-27,Male,1969-09-22,46,Greater than 45,Caucasian,0,2,0,0,2,-14,2013-03-13 12:53:32,2013-03-21 02:08:03,10014551CF10B,,2013-03-13,14,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-27,Risk of Violence,1,Low,2013-03-27,2015-11-24,2015-12-10,2,0,972,0,0,0 +8068,joshua hirst,joshua,hirst,2014-02-17,Male,1983-08-25,32,25 - 45,Caucasian,0,8,0,0,6,0,2014-02-17 02:20:40,2014-02-17 08:18:14,14002245CF10A,2014-02-16,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-17,Risk of Violence,8,High,2014-02-17,2014-02-17,2014-02-17,6,0,774,0,0,0 +8071,jeffery fetters,jeffery,fetters,2013-06-05,Male,1959-07-18,56,Greater than 45,Caucasian,0,4,0,0,13,-59,2013-04-07 07:17:18,2013-05-17 01:46:05,13006649MM10A,2013-04-06,,60,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-05,Risk of Violence,1,Low,2013-06-05,2013-04-07,2013-05-17,13,0,1031,0,0,0 +8075,jomar fisher,jomar,fisher,2013-01-03,Male,1990-06-12,25,25 - 45,African-American,0,3,0,0,1,188,2013-07-10 01:42:08,2013-08-16 10:17:00,11005572CF10A,,2012-11-09,55,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-03,Risk of Violence,4,Low,2013-01-03,2013-07-10,2013-08-16,1,0,188,0,0,0 +8077,ian kissoonlai,ian,kissoonlai,2013-01-30,Male,1990-03-28,26,25 - 45,African-American,0,3,0,0,2,,,,13001448CF10A,2013-01-29,,1,F,Criminal Attempt 3rd Deg Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-30,Risk of Violence,4,Low,2013-01-30,,,2,0,1157,0,0,0 +8078,marie hamilton,marie,hamilton,2013-05-21,Female,1957-07-25,58,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-20 12:10:00,2013-05-20 12:19:32,13009638MM10A,2013-05-19,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-21,Risk of Violence,1,Low,2013-05-21,2013-05-20,2013-05-20,0,0,1046,0,0,0 +8084,anthony tetoff,anthony,tetoff,2014-01-28,Male,1972-03-13,44,25 - 45,Caucasian,0,2,0,0,5,-47,2013-12-12 10:44:57,2013-12-24 10:48:55,13017187CF10A,,2013-12-12,47,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-28,Risk of Violence,1,Low,2014-01-28,2013-12-12,2013-12-24,5,0,794,0,0,0 +8085,donald hutchinson,donald,hutchinson,2013-08-10,Male,1995-06-11,20,Less than 25,African-American,0,7,0,0,0,0,2013-08-10 12:20:57,2013-08-11 02:13:50,13011244CF10A,2013-08-10,,0,F,Aggrav Battery w/Deadly Weapon,1,14002602MM40A,(M1),,2014-06-07,Possess Cannabis/20 Grams Or Less,,,,1,14009572MM10A,(M2),2014-06-18,Assault,Risk of Recidivism,7,Medium,2013-08-10,Risk of Violence,9,High,2013-08-10,2013-08-10,2013-08-11,0,1,301,1,1,1 +8093,serina byrd,serina,byrd,2014-02-21,Female,1979-11-03,36,25 - 45,African-American,0,5,0,0,1,0,2014-02-21 05:15:33,2014-02-22 03:34:25,14002483CF10A,2014-02-20,,1,M,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,1,Low,2014-02-21,2014-02-21,2014-02-22,1,1,770,0,0,0 +8094,william bernharddt,william,bernharddt,2013-04-29,Male,1956-12-03,59,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-29 01:03:48,2013-04-29 06:46:09,13008154MM10A,2013-04-28,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-29,2013-04-29,0,0,1068,0,0,0 +8097,james mitchell,james,mitchell,2014-05-31,Male,1986-12-16,29,25 - 45,African-American,0,5,0,0,5,-1,2014-05-30 07:12:58,2014-06-02 12:45:34,14007528CF10A,,2014-05-30,1,F,arrest case no charge,1,15010001MM10A,(M1),,2015-08-29,Battery,,,,1,15010001MM10A,(M1),2015-08-29,Battery,Risk of Recidivism,5,Medium,2014-05-31,Risk of Violence,4,Low,2014-05-31,2014-05-30,2014-06-02,5,2,455,1,1,1 +8098,christal pinkney,christal,pinkney,2014-03-17,Female,1994-11-11,21,Less than 25,African-American,0,5,0,0,0,-1,2014-03-16 09:49:27,2014-03-17 09:22:07,14004534MM10A,2014-03-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-17,Risk of Violence,6,Medium,2014-03-17,2014-03-16,2014-03-17,0,0,746,0,0,0 +8099,sebastian cohn,sebastian,cohn,2013-12-10,Male,1987-08-28,28,25 - 45,Caucasian,0,1,0,0,0,-1,2013-12-09 07:48:15,2013-12-11 04:09:56,13022791MM10A,2013-12-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,2,Low,2013-12-10,2013-12-09,2013-12-11,0,1,843,0,0,0 +8104,theresa miller,theresa,miller,2013-04-08,Female,1973-10-06,42,25 - 45,African-American,0,6,0,0,16,-1,2013-04-07 10:05:20,2013-05-01 10:15:05,13004970CF10A,2013-04-07,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-08,Risk of Violence,2,Low,2013-04-08,2015-01-10,2015-01-30,16,23,642,0,0,0 +8105,ernest calvert,ernest,calvert,2013-03-08,Male,1994-08-26,21,Less than 25,African-American,0,9,2,1,3,-3,2013-03-05 08:54:54,2013-03-06 11:00:34,13003385CF10A,2013-03-07,,1,F,Leaving the Scene of Accident,1,13019033MM10A,(M1),,2013-07-20,Battery,,,,1,13019033MM10A,(M1),2013-07-20,Battery,Risk of Recidivism,9,High,2013-03-08,Risk of Violence,6,Medium,2013-03-08,2015-04-22,2015-05-21,3,0,134,1,1,1 +8107,danielle cyr,danielle,cyr,2013-08-13,Female,1966-05-22,49,Greater than 45,Caucasian,0,1,0,0,1,-26,2013-07-18 01:48:52,2013-07-18 12:10:03,13013578MM10A,2013-07-17,,27,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-13,Risk of Violence,1,Low,2013-08-13,2013-07-18,2013-07-18,1,0,962,0,0,0 +8110,caitlin watts,caitlin,watts,2013-05-21,Female,1991-07-30,24,Less than 25,Caucasian,0,5,0,0,0,0,2013-05-21 12:50:11,2013-05-22 05:30:40,13009743MM10A,2013-05-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-21,Risk of Violence,5,Medium,2013-05-21,2013-05-21,2013-05-22,0,1,1046,0,0,0 +8112,regina ewing,regina,ewing,2013-01-19,Female,1960-12-05,55,Greater than 45,African-American,0,1,0,0,1,-1,2013-01-18 05:15:26,2013-01-20 08:28:44,13000864CF10A,2013-01-18,,1,M,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-19,Risk of Violence,1,Low,2013-01-19,2013-01-18,2013-01-20,1,1,1168,0,0,0 +8113,scott burleigh,scott,burleigh,2013-11-25,Male,1996-09-22,19,Less than 25,African-American,1,10,2,0,3,-200,2013-05-09 05:30:32,2013-11-25 01:22:29,13006619CF10A,,2013-05-09,200,F,arrest case no charge,1,15000485CF10A,(M2),0,2015-01-11,Susp Drivers Lic 1st Offense,2015-01-11,2015-01-12,,1,15000485CF10A,(F2),2015-01-11,Agg Assault Law Enforc Officer,Risk of Recidivism,10,High,2013-11-25,Risk of Violence,9,High,2013-11-25,2015-01-11,2015-01-12,3,0,412,1,1,1 +8115,moise jean jacques,moise,jean jacques,2013-09-23,Male,1976-11-02,39,25 - 45,Other,0,1,0,0,1,,,,13038110TC20A,2013-06-15,,100,M,Expired DL More Than 6 Months,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,,,1,0,921,0,0,0 +8116,wessley cruzmolina,wessley,cruzmolina,2013-09-09,Male,1994-07-29,21,Less than 25,Caucasian,0,4,0,0,1,-1,2013-09-08 08:48:03,2013-09-09 02:06:14,13012702CF10A,,2013-09-08,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-09,Risk of Violence,6,Medium,2013-09-09,2013-09-08,2013-09-09,1,0,935,0,0,0 +8118,william kilgore,william,kilgore,2013-01-25,Male,1981-07-31,34,25 - 45,African-American,0,6,0,0,4,0,2013-01-25 01:41:29,2013-01-25 01:58:16,13001828MM10A,2013-01-24,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-25,Risk of Violence,6,Medium,2013-01-25,2013-01-25,2013-01-25,4,0,1162,0,0,0 +8119,keenan watson,keenan,watson,2013-01-16,Male,1988-12-20,27,25 - 45,African-American,0,5,0,0,2,-1,2013-01-15 09:51:37,2013-01-17 09:15:00,12011314CF10A,,2013-01-16,0,F,arrest case no charge,1,14001076CF10A,(F3),0,2014-01-24,Possession Burglary Tools,2014-01-24,2014-07-01,,0,,,,,Risk of Recidivism,5,Medium,2013-01-16,Risk of Violence,3,Low,2013-01-16,2014-01-17,2014-01-25,2,1,373,1,0,0 +8120,rodney dobronozenk,rodney,dobronozenk,2013-04-20,Male,1979-03-30,37,25 - 45,African-American,3,10,0,0,12,-1,2013-04-19 03:12:03,2013-06-10 10:44:28,13004462MM10A,,2013-04-19,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-04-20,Risk of Violence,9,High,2013-04-20,2014-03-20,2014-11-29,12,51,334,0,0,0 +8121,kennyal webber,kennyal,webber,2013-12-20,Male,1975-06-07,40,25 - 45,African-American,0,1,0,0,1,-65,2013-10-16 01:57:19,2013-12-20 06:03:00,13014011CF10A,2013-10-05,,76,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-20,Risk of Violence,1,Low,2013-12-20,2013-10-16,2013-12-20,1,0,833,0,0,0 +8125,austin robertson,austin,robertson,2013-08-16,Male,1992-07-27,23,Less than 25,Caucasian,0,4,0,0,0,0,2013-08-16 01:18:50,2013-08-16 01:33:22,13011489CF10A,2013-08-15,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-16,Risk of Violence,5,Medium,2013-08-16,2015-10-15,2015-11-30,0,0,790,0,0,0 +8126,willie sheely,willie,sheely,2013-10-21,Male,1981-09-20,34,25 - 45,African-American,0,7,0,0,19,-76,2013-08-06 10:48:28,2013-10-19 05:03:16,13012254CF10A,,2013-08-28,54,F,arrest case no charge,1,15007004CF10A,(F2),,2015-01-01,Aggravated Battery / Pregnant,,,,1,15007004CF10A,(F2),2015-01-01,Aggravated Battery / Pregnant,Risk of Recidivism,7,Medium,2013-10-21,Risk of Violence,6,Medium,2013-10-21,2014-08-13,2014-10-28,19,0,296,0,1,1 +8129,tim funchess,tim,funchess,2013-10-12,Male,1989-02-24,27,25 - 45,African-American,0,9,0,1,5,-1,2013-10-11 11:05:38,2013-10-12 01:31:00,13014269CF10A,2013-10-11,,1,F,Possession of Cocaine,1,14008891CF10A,(M1),0,2014-06-28,Trespass Other Struct/Conve,2014-06-28,2014-12-02,,1,16000750CF10A,(F3),2016-01-18,Aggravated Assault W/Dead Weap,Risk of Recidivism,9,High,2013-10-12,Risk of Violence,5,Medium,2013-10-12,2014-06-28,2014-12-02,5,0,259,1,1,1 +8130,vanston ward,vanston,ward,2014-02-01,Male,1965-08-30,50,Greater than 45,African-American,0,1,0,0,1,-1,2014-01-31 11:01:58,2014-02-01 10:10:12,14001401CF10A,2014-01-31,,1,F,Possess Weapon On School Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-01,Risk of Violence,1,Low,2014-02-01,2014-01-31,2014-02-01,1,0,790,0,0,0 +8132,andre jones,andre,jones,2013-03-30,Male,1994-02-26,22,Less than 25,African-American,0,5,1,2,1,-1,2013-03-29 07:15:17,2013-04-01 03:56:36,13004557CF10A,2013-03-29,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-30,Risk of Violence,7,Medium,2013-03-30,2013-03-29,2013-04-01,1,2,1098,0,0,0 +8137,juvince jacques,juvince,jacques,2013-10-07,Male,1981-12-09,34,25 - 45,African-American,0,1,0,0,1,0,2013-10-07 05:48:19,2013-10-30 09:57:10,13014075CF10A,,2013-10-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-07,Risk of Violence,2,Low,2013-10-07,2013-10-07,2013-10-30,1,23,907,0,0,0 +8138,harry morrison,harry,morrison,2014-02-27,Male,1959-11-30,56,Greater than 45,African-American,0,1,0,0,1,98,2014-06-05 10:22:38,2014-06-14 05:59:09,14002691CF10A,,2014-02-27,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-27,Risk of Violence,2,Low,2014-02-27,2014-06-05,2014-06-14,1,0,98,0,0,0 +8141,logan slaving,logan,slaving,2013-03-05,Male,1994-08-28,21,Less than 25,Caucasian,0,4,0,0,0,0,2013-03-05 04:09:04,2013-03-05 06:30:19,13003290CF10A,2013-03-05,,0,F,Trespassing/Construction Site,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-05,Risk of Violence,5,Medium,2013-03-05,2013-03-05,2013-03-05,0,0,1123,0,0,0 +8143,kevin bunsie,kevin,bunsie,2013-01-18,Male,1970-05-12,45,Greater than 45,Other,0,1,0,0,1,-1,2013-01-17 11:36:51,2013-01-18 09:16:04,13000817CF10A,,2013-01-17,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-17,2013-01-18,1,0,1169,0,0,0 +8146,angelo jasmine,angelo,jasmine,2013-09-23,Male,1985-10-28,30,25 - 45,African-American,0,9,0,0,1,0,2013-09-23 12:16:20,2013-09-23 08:15:00,13013382CF10A,2013-09-22,,1,F,Introduce Contraband Into Jail,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-23,Risk of Violence,7,Medium,2013-09-23,2013-09-23,2013-09-23,1,0,921,0,0,0 +8148,mark allen,mark,allen,2013-05-08,Male,1955-03-01,61,Greater than 45,Caucasian,0,1,0,0,0,0,2013-05-08 05:38:16,2013-05-14 09:38:56,13008899MM10A,2013-05-08,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-08,Risk of Violence,1,Low,2013-05-08,2013-05-08,2013-05-14,0,6,1059,0,0,0 +8149,sean weir,sean,weir,2014-02-08,Male,1988-08-07,27,25 - 45,Caucasian,0,3,0,0,3,-1,2014-02-07 04:46:22,2014-02-10 10:45:34,14002159MM10A,2014-02-07,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-08,Risk of Violence,3,Low,2014-02-08,2015-04-21,2015-04-21,3,2,437,0,0,0 +8150,caritasse roche,caritasse,roche,2013-07-12,Female,1988-05-13,27,25 - 45,African-American,0,5,0,0,2,,,,11019811TC10A,2011-04-12,,822,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-12,Risk of Violence,4,Low,2013-07-12,,,2,0,994,0,0,0 +8151,carlos gonzalez,carlos,gonzalez,2013-11-23,Male,1974-11-03,41,25 - 45,Hispanic,0,2,0,0,2,-1,2013-11-22 09:33:14,2013-11-23 10:16:36,13021950MM10A,2013-11-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-23,Risk of Violence,1,Low,2013-11-23,2013-11-22,2013-11-23,2,0,860,0,0,0 +8153,monica petusevsky,monica,petusevsky,2013-05-02,Male,1955-10-26,60,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-01 04:33:58,2013-05-02 04:44:03,13008472MM10A,2013-05-01,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-02,Risk of Violence,1,Low,2013-05-02,2013-05-01,2013-05-02,0,0,1065,0,0,0 +8154,jovan pinnock,jovan,pinnock,2013-02-07,Male,1993-01-06,23,Less than 25,African-American,0,8,0,0,1,0,2013-02-07 12:13:06,2013-02-11 08:47:59,13002715MM10A,2013-02-06,,1,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-07,Risk of Violence,8,High,2013-02-07,2013-02-07,2013-02-11,1,4,1149,0,0,0 +8155,kyle hansen,kyle,hansen,2013-11-07,Male,1976-04-15,40,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-06 10:58:07,2013-11-07 01:55:42,13020960MM10A,2013-11-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-07,Risk of Violence,1,Low,2013-11-07,2013-11-06,2013-11-07,0,0,876,0,0,0 +8157,stefano rotati,stefano,rotati,2014-02-12,Male,1986-03-12,30,25 - 45,Caucasian,0,3,0,0,0,-7,2014-02-05 05:34:10,2014-02-11 09:01:58,14001642CF10A,2014-02-05,,7,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-12-12,2014-12-17,0,0,303,0,0,0 +8160,cynthia detres,cynthia,detres,2013-10-02,Female,1995-08-01,20,Less than 25,Caucasian,0,5,0,0,1,-41,2013-08-22 10:19:04,2013-08-23 08:21:55,13011826CF10A,2013-08-22,,41,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-02,Risk of Violence,6,Medium,2013-10-02,2013-08-22,2013-08-23,1,0,912,0,0,0 +8161,brandy palmer,brandy,palmer,2014-02-05,Female,1995-12-09,20,Less than 25,African-American,0,5,0,0,0,-1,2014-02-04 10:17:09,2014-02-05 09:57:26,14001576CF10A,2014-02-04,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-05,Risk of Violence,7,Medium,2014-02-05,2014-10-01,2014-10-14,0,0,238,0,0,0 +8162,khalid abukablan,khalid,abukablan,2013-03-18,Male,1967-10-01,48,Greater than 45,Asian,0,2,0,0,0,-1,2013-03-17 10:10:13,2013-03-20 09:25:28,13003888CF10A,2013-03-17,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-17,2013-03-20,0,2,1110,0,0,0 +8163,brian corker,brian,corker,2013-11-14,Male,1991-07-13,24,Less than 25,African-American,0,5,0,0,0,-1,2013-11-13 08:08:42,2013-11-14 08:11:27,13021393MM10A,2013-11-13,,1,M,Battery,1,14007351MM10A,(M1),0,2014-05-03,Resist/Obstruct W/O Violence,2014-05-03,2014-05-05,,1,14007351MM10A,(M2),2014-05-03,Assault,Risk of Recidivism,5,Medium,2013-11-14,Risk of Violence,5,Medium,2013-11-14,2014-05-03,2014-05-05,0,0,170,1,1,1 +8164,joey stroud,joey,stroud,2013-08-02,Male,1986-02-28,30,25 - 45,African-American,0,3,0,0,5,-1,2013-08-01 11:03:55,2013-08-02 08:42:08,13014513MM10A,2013-08-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-02,Risk of Violence,2,Low,2013-08-02,2013-08-01,2013-08-02,5,0,973,0,0,0 +8169,luke morgan,luke,morgan,2013-02-17,Male,1990-10-04,25,25 - 45,African-American,0,3,0,0,0,-1,2013-02-16 11:55:29,2013-02-18 02:30:55,12022946MO10A,,2013-02-16,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-17,Risk of Violence,5,Medium,2013-02-17,2013-02-16,2013-02-18,0,1,1139,0,0,0 +8171,omar santiago,omar,santiago,2013-10-07,Male,1977-05-27,38,25 - 45,Caucasian,0,2,0,0,0,0,2013-10-07 04:35:01,2013-10-07 08:13:51,13019064MM10A,2013-10-07,,0,M,Susp Drivers Lic 1st Offense,1,15011658MM10A,(M1),0,2015-11-06,Possess Cannabis/20 Grams Or Less,2015-11-06,2015-11-09,,0,,,,,Risk of Recidivism,2,Low,2013-10-07,Risk of Violence,2,Low,2013-10-07,2015-11-06,2015-11-09,0,0,760,1,0,0 +8174,rodrick shand,rodrick,shand,2013-03-13,Male,1989-01-13,27,25 - 45,African-American,0,2,0,0,1,-1,2013-03-12 05:14:38,2013-03-13 01:33:25,13003621CF10A,2013-03-12,,1,F,Grand Theft (Motor Vehicle),1,15010212MM10A,(M1),0,2015-09-28,Unlaw Use False Name/Identity,2015-09-28,2015-09-30,,0,,,,,Risk of Recidivism,2,Low,2013-03-13,Risk of Violence,3,Low,2013-03-13,2014-08-20,2014-09-19,1,0,525,0,0,0 +8182,ezekiel swinton,ezekiel,swinton,2013-01-31,Male,1992-03-12,24,Less than 25,African-American,0,7,0,0,1,0,2013-01-31 04:44:02,2013-06-21 05:24:05,13001578CF10A,2013-01-31,,0,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-31,Risk of Violence,9,High,2013-01-31,2013-01-31,2013-06-21,1,141,1156,0,0,0 +8185,willie perry,willie,perry,2014-10-28,Male,1952-01-03,64,Greater than 45,African-American,0,4,0,0,8,-4,2014-10-24 07:26:34,2014-10-25 06:30:06,08002767MM40A,,2008-08-18,2262,M,arrest case no charge,1,15014354CF10A,(F2),,2015-11-04,Poss Wep Conv Felon,,,,1,15014354CF10A,(F1),2015-11-04,Agg Battery Bod Hrm-Deadly Weap,Risk of Recidivism,4,Low,2014-10-28,Risk of Violence,2,Low,2014-10-28,2014-10-24,2014-10-25,8,0,372,1,1,1 +8188,jamie fabre,jamie,fabre,2013-11-06,Male,1989-07-16,26,25 - 45,Caucasian,0,10,0,0,3,0,2013-11-06 04:37:08,2013-11-06 08:11:56,11015818MM10A,2011-06-19,,871,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-11-06,Risk of Violence,9,High,2013-11-06,2015-02-02,2015-02-02,3,0,453,0,0,0 +8189,hilary adler,hilary,adler,2013-09-26,Male,1967-11-04,48,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-09-25 08:20:02,2013-10-28 10:14:25,13013483CF10A,2013-09-25,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-26,Risk of Violence,1,Low,2013-09-26,2013-09-25,2013-10-28,0,32,918,0,0,0 +8191,anpherny simpson,anpherny,simpson,2013-09-30,Male,1994-10-15,21,Less than 25,African-American,0,4,0,0,0,-1,2013-09-29 07:16:56,2013-09-30 08:59:07,13013673CF10A,2013-09-29,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,6,Medium,2013-09-30,2013-09-29,2013-09-30,0,0,914,0,0,0 +8195,shane johnson,shane,johnson,2013-05-12,Male,1978-11-27,37,25 - 45,African-American,0,9,0,0,17,-1,2013-05-11 12:13:17,2013-06-26 04:02:19,13009095MM10A,2013-05-11,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-12,Risk of Violence,3,Low,2013-05-12,2014-08-01,2014-10-27,17,45,446,0,0,0 +8204,jody holmes,jody,holmes,2013-11-23,Male,1970-10-09,45,Greater than 45,African-American,1,7,0,0,16,-1,2013-11-22 07:56:56,2013-11-23 10:08:48,13016283CF10A,2013-11-22,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-23,Risk of Violence,2,Low,2013-11-23,2014-04-15,2014-07-02,16,0,143,0,0,0 +8207,federico watkins,federico,watkins,2014-05-16,Male,1984-04-25,31,25 - 45,Caucasian,0,2,0,0,3,-1,2014-05-15 08:47:49,2014-05-17 03:47:54,14007944MM10A,2014-05-15,,1,M,Battery,1,16002555CF10A,(F1),,2016-02-25,Sex Batt Faml/Cust Vict 12-17Y,,,,1,16002555CF10A,(F1),2016-02-25,Sex Batt Faml/Cust Vict 12-17Y,Risk of Recidivism,2,Low,2014-05-16,Risk of Violence,2,Low,2014-05-16,2014-05-15,2014-05-17,3,1,650,1,1,1 +8209,bobby chin,bobby,chin,2013-01-03,Male,1987-04-25,28,25 - 45,Asian,0,8,0,0,9,-1,2013-01-02 02:13:50,2013-02-08 01:06:38,13000088CF10A,2013-01-02,,1,F,Aggravated Battery,1,15039961TC20A,(M2),,2015-07-04,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,8,High,2013-01-03,Risk of Violence,6,Medium,2013-01-03,2013-01-02,2013-02-08,9,36,912,1,0,0 +8210,shermilla coats,shermilla,coats,2013-07-29,Female,1986-07-12,29,25 - 45,African-American,0,3,0,0,1,-40,2013-06-19 06:57:34,2013-07-04 12:09:30,13008678CF10A,2013-06-19,,40,F,Robbery W/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-29,Risk of Violence,2,Low,2013-07-29,2013-06-19,2013-07-04,1,0,977,0,0,0 +8211,michael biasucci,michael,biasucci,2013-04-20,Male,1977-02-02,39,25 - 45,Caucasian,0,1,0,0,1,-1,2013-04-19 11:58:23,2013-04-20 07:15:06,13005615CF10A,2013-04-19,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-20,Risk of Violence,1,Low,2013-04-20,2013-04-19,2013-04-20,1,0,1077,0,0,0 +8212,precious price,precious,price,2013-08-04,Male,1982-12-05,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-08-03 05:25:28,2013-08-04 01:49:16,13010897CF10A,2013-08-03,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-04,Risk of Violence,2,Low,2013-08-04,2013-08-03,2013-08-04,0,0,971,0,0,0 +8215,farrokh mohammadnejad,farrokh,mohammadnejad,2013-09-23,Male,1967-06-24,48,Greater than 45,Asian,0,1,0,0,0,0,2013-09-23 02:20:40,2013-10-02 12:35:15,13018143MM10A,2013-09-22,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-23,2013-10-02,0,9,921,0,0,0 +8216,barry williams,barry,williams,2013-10-31,Male,1988-04-22,27,25 - 45,African-American,0,3,0,0,3,-1,2013-10-30 03:40:14,2013-12-07 01:53:45,13004112MM10A,,2013-10-30,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-31,Risk of Violence,3,Low,2013-10-31,2014-10-14,2014-11-10,3,37,348,0,0,0 +8217,octavio arteaga,octavio,arteaga,2013-03-30,Male,1991-12-29,24,Less than 25,Hispanic,0,5,0,0,0,-1,2013-03-29 07:01:27,2013-04-30 08:30:02,13004538CF10A,2013-03-29,,1,F,Lewd/Lasc Battery Pers 12+/<16,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-30,Risk of Violence,4,Low,2013-03-30,2013-03-29,2013-04-30,0,31,1098,0,0,0 +8218,taylor irwin,taylor,irwin,2014-01-29,Female,1991-08-16,24,Less than 25,Caucasian,0,3,0,0,0,0,2014-01-29 03:03:39,2014-01-29 07:47:54,14001635MM10A,2014-01-29,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-29,Risk of Violence,3,Low,2014-01-29,2014-01-29,2014-01-29,0,0,793,0,0,0 +8220,bruno balbi,bruno,balbi,2013-09-11,Male,1982-12-28,33,25 - 45,Hispanic,0,2,0,0,3,,,,12012229CF10A,,2012-08-16,391,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-11,Risk of Violence,2,Low,2013-09-11,,,3,0,933,0,0,0 +8223,christina deperna,christina,deperna,2013-08-04,Female,1984-10-07,31,25 - 45,Caucasian,0,10,0,2,14,0,2013-08-04 03:14:06,2013-08-05 03:07:44,13010839CF10A,2013-08-03,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-04,Risk of Violence,5,Medium,2013-08-04,2013-08-04,2013-08-05,14,1,971,0,0,0 +8224,allan castro,allan,castro,2013-10-18,Male,1983-10-01,32,25 - 45,Hispanic,0,1,0,0,1,-15,2013-10-03 04:03:00,2013-10-06 02:04:04,13013893CF10A,2013-10-03,,15,F,Aggravated Assault W/o Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-18,Risk of Violence,1,Low,2013-10-18,2013-10-03,2013-10-06,1,0,896,0,0,0 +8225,lawrence bauman,lawrence,bauman,2013-10-11,Male,1953-06-28,62,Greater than 45,Caucasian,0,1,0,0,0,0,2013-10-11 04:48:23,2013-10-12 07:46:26,13019305MM10A,2013-10-11,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-11,Risk of Violence,1,Low,2013-10-11,2013-10-11,2013-10-12,0,1,903,0,0,0 +8230,earl trapp,earl,trapp,2013-10-23,Male,1959-04-23,56,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-10-22 04:47:28,2013-11-07 09:55:20,13020015MM10A,2013-10-21,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-23,Risk of Violence,1,Low,2013-10-23,2014-05-08,2014-05-20,2,15,197,0,0,0 +8231,glenroy powell,glenroy,powell,2014-02-25,Male,1987-06-04,28,25 - 45,African-American,0,1,0,0,6,-1,2014-02-24 10:38:25,2014-02-25 09:41:08,14002618CF10A,2014-02-24,,1,F,Drivg While Lic Suspd/Revk/Can,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,2,Low,2014-02-25,2014-02-24,2014-02-25,6,0,766,0,0,0 +8232,dana reed,dana,reed,2013-12-30,Female,1989-05-02,26,25 - 45,African-American,0,6,0,0,6,-1,2013-12-29 04:37:10,2014-01-01 07:59:30,13016502CF10A,,2013-12-29,1,F,arrest case no charge,1,14003479MM10A,(M2),43,2014-01-06,Petit Theft,2014-02-18,2014-04-13,,1,15015491CF10A,(F2),2015-12-01,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-12-30,Risk of Violence,5,Medium,2013-12-30,2013-12-29,2014-01-01,6,2,7,1,1,1 +8236,mauricio hostios,mauricio,hostios,2013-08-27,Male,1964-05-29,51,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-08-26 12:54:03,2013-08-26 08:14:39,13016292MM10A,2013-08-25,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-26,2013-08-26,0,0,948,0,0,0 +8237,israel guadalupe,israel,guadalupe,2013-03-06,Male,1965-03-29,51,Greater than 45,Hispanic,0,3,0,0,1,-1,2013-03-05 08:37:31,2013-03-08 11:12:12,13003295CF10A,2013-03-05,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-06,Risk of Violence,2,Low,2013-03-06,2013-03-05,2013-03-08,1,2,1122,0,0,0 +8239,kelvin oliphant,kelvin,oliphant,2013-02-02,Male,1987-09-05,28,25 - 45,African-American,0,10,0,1,7,-1,2013-02-01 07:05:02,2013-02-03 02:50:02,13001641CF10A,2013-02-01,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-02,Risk of Violence,6,Medium,2013-02-02,2013-06-13,2013-08-30,7,1,131,0,0,0 +8240,ramonda cheatham,ramonda,cheatham,2013-05-06,Female,1979-09-23,36,25 - 45,African-American,0,2,0,0,1,-1,2013-05-05 07:03:21,2013-05-06 09:22:37,13008712MM10A,2013-05-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-05,2013-05-06,1,0,1061,0,0,0 +8242,juan jiminez,juan,jiminez,2014-03-28,Male,1976-10-04,39,25 - 45,Hispanic,0,1,0,0,0,,,,14004098CF10A,2014-03-23,,5,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-28,Risk of Violence,1,Low,2014-03-28,,,0,0,735,0,0,0 +8245,erin balta,erin,balta,2013-03-04,Female,1978-02-15,38,25 - 45,Caucasian,0,1,0,0,0,0,2013-03-04 03:11:55,2013-03-05 02:25:38,13004434MM10A,2013-03-04,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-04,2013-03-05,0,1,1124,0,0,0 +8247,joseph mckinley,joseph,mckinley,2013-12-16,Male,1992-11-29,23,Less than 25,African-American,0,2,0,0,1,-2,2013-12-14 06:08:44,2013-12-15 01:45:57,13017295CF10A,2013-12-14,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,4,Low,2013-12-16,2014-06-02,2014-06-02,1,0,168,0,0,0 +8248,brian demore,brian,demore,2013-05-12,Male,1988-02-25,28,25 - 45,Caucasian,0,7,0,0,5,-1,2013-05-11 06:12:53,2013-06-06 09:39:09,13009112MM10A,2013-05-11,,1,M,Battery,1,13018947MM10A,(M1),0,2013-10-05,Battery,2013-10-05,2013-10-31,,1,13018947MM10A,(M1),2013-10-05,Battery,Risk of Recidivism,7,Medium,2013-05-12,Risk of Violence,5,Medium,2013-05-12,2013-10-05,2013-10-31,5,25,146,1,1,1 +8251,nadja parish,nadja,parish,2014-01-02,Female,1977-07-01,38,25 - 45,Other,0,1,0,0,0,-1,2014-01-01 07:04:41,2014-01-02 04:12:39,14000052CF10A,2014-01-01,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2014-01-01,2014-01-02,0,0,820,0,0,0 +8253,franceline librun,franceline,librun,2014-02-10,Male,1986-09-18,29,25 - 45,African-American,0,3,0,0,0,-1,2014-02-09 10:09:21,2014-02-11 06:47:33,14002253MM10A,2014-02-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-10,Risk of Violence,5,Medium,2014-02-10,2014-02-09,2014-02-11,0,1,781,0,0,0 +8254,shella rangoowala,shella,rangoowala,2013-11-14,Female,1981-05-16,34,25 - 45,Asian,0,1,0,0,1,-10,2013-11-04 10:25:43,2013-11-06 11:22:12,13015353CF10A,2013-11-04,,10,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-04,2013-11-06,1,0,869,0,0,0 +8257,johnior metayer,johnior,metayer,2013-12-23,Male,1981-09-20,34,25 - 45,African-American,0,7,0,0,8,-1,2013-12-22 05:47:01,2013-12-23 08:30:29,13023582MM10A,2013-12-22,,1,M,Battery,1,16011132TC20A,(M2),,2016-03-02,Driving License Suspended,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-23,Risk of Violence,3,Low,2013-12-23,2015-11-13,2015-11-13,8,0,690,0,0,0 +8258,manuel taveras,manuel,taveras,2013-01-09,Male,1990-01-05,26,25 - 45,African-American,0,7,0,0,6,-1,2013-01-08 02:38:01,2013-01-10 03:49:51,13000319CF10A,2013-01-08,,1,F,Burglary Conveyance Armed,1,14011379CF10A,(F2),0,2014-08-20,Aggravated Battery / Pregnant,2014-08-20,2014-08-21,,1,14011379CF10A,(F2),2014-08-20,Aggravated Battery / Pregnant,Risk of Recidivism,7,Medium,2013-01-09,Risk of Violence,6,Medium,2013-01-09,2014-08-20,2014-08-21,6,1,588,1,1,1 +8259,donovan goode,donovan,goode,2013-10-02,Male,1957-11-11,58,Greater than 45,African-American,0,1,0,0,0,-1,2013-10-01 08:09:05,2013-10-03 12:13:46,13013796CF10A,2013-10-01,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-02,Risk of Violence,1,Low,2013-10-02,2013-10-01,2013-10-03,0,1,912,0,0,0 +8260,michael marceau,michael,marceau,2013-02-08,Male,1978-07-07,37,25 - 45,Hispanic,0,5,0,0,6,-24,2013-01-15 12:37:37,2013-02-08 11:34:26,13000716CF10A,,2013-01-15,24,F,arrest case no charge,1,15054030TC40A,(M2),,2015-09-01,Operating W/O Valid License,,,,1,16000913CF10A,(F7),2016-01-22,Armed Kidnapping,Risk of Recidivism,5,Medium,2013-02-08,Risk of Violence,3,Low,2013-02-08,2014-01-31,2014-03-04,6,0,357,0,1,1 +8261,kevon obas,kevon,obas,2013-05-22,Male,1993-03-27,23,Less than 25,African-American,0,8,0,0,1,,,,13007334CF10A,,2013-05-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-05-22,Risk of Violence,9,High,2013-05-22,,,1,0,1045,0,0,0 +8263,alton tuff,alton,tuff,2013-08-27,Male,1954-07-29,61,Greater than 45,African-American,0,2,0,0,9,253,2014-05-07 10:19:11,2014-08-11 01:36:50,12016064CF10A,,2012-11-02,298,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,2,Low,2013-08-27,2014-05-07,2014-08-11,9,0,253,0,0,0 +8265,robert raphel,robert,raphel,2014-03-18,Male,1971-07-19,44,25 - 45,African-American,0,3,0,0,0,-1,2014-03-17 11:17:35,2014-03-20 03:27:00,14003774CF10A,2014-03-17,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-18,Risk of Violence,3,Low,2014-03-18,2014-03-17,2014-03-20,0,2,745,0,0,0 +8266,anthony wright,anthony,wright,2013-03-26,Male,1990-03-11,26,25 - 45,African-American,0,7,0,0,3,1057,2016-02-16 12:57:47,2016-02-16 07:42:40,10017474CF10A,,2011-12-23,459,F,arrest case no charge,1,15003989MM40A,(M1),131,2015-10-08,Possess Drug Paraphernalia,2016-02-16,2016-02-16,,0,,,,,Risk of Recidivism,7,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,2016-02-16,2016-02-16,3,0,926,1,0,0 +8267,gregory lee,gregory,lee,2013-09-26,Male,1969-10-09,46,Greater than 45,African-American,0,3,0,0,3,-35,2013-08-22 01:15:43,2013-09-26 05:24:09,13011820CF10A,2013-08-22,,35,F,Stalking (Aggravated),1,13023854MM10A,(M1),87,2013-11-03,Restraining Order Dating Viol,2014-01-29,2014-02-15,,1,15001070CF10A,(F3),2015-01-23,Aggravated Assault w/Firearm,Risk of Recidivism,3,Low,2013-09-26,Risk of Violence,3,Low,2013-09-26,2015-01-23,2015-06-19,3,0,38,1,1,1 +8268,justin marcello,justin,marcello,2013-11-05,Male,1979-08-11,36,25 - 45,Caucasian,0,3,0,0,5,-1,2013-11-04 12:41:52,2013-11-08 04:57:49,13015345CF10A,2013-11-04,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-05,Risk of Violence,1,Low,2013-11-05,2013-11-04,2013-11-08,5,3,878,0,0,0 +8277,forlisha rolle,forlisha,rolle,2013-03-18,Female,1992-09-29,23,Less than 25,Other,0,6,0,0,0,-1,2013-03-17 11:48:46,2013-03-18 02:22:20,13005227MM10A,2013-03-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-18,Risk of Violence,6,Medium,2013-03-18,2013-03-17,2013-03-18,0,0,1110,0,0,0 +8278,jarone douse,jarone,douse,2013-04-14,Male,1962-10-10,53,Greater than 45,African-American,0,6,0,0,3,-1,2013-04-13 10:46:45,2013-04-19 08:34:22,13005333CF10A,2013-04-13,,1,F,Aggravated Battery,1,14000894MM20A,(M2),,2014-03-21,Petit Theft,,,,1,15007652CF10A,(F3),2015-06-12,Battery on Law Enforc Officer,Risk of Recidivism,6,Medium,2013-04-14,Risk of Violence,1,Low,2013-04-14,2013-04-13,2013-04-19,3,5,341,1,1,1 +8279,christopher sohit,christopher,sohit,2013-04-30,Male,1982-08-12,33,25 - 45,Other,0,3,0,0,5,1027,2016-02-21 01:53:34,2016-02-23 11:28:11,12014773CF10A,,2012-10-07,205,F,arrest case no charge,1,16001401MM10A,(M1),,2016-01-27,Viol Injunct Domestic Violence,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-30,Risk of Violence,2,Low,2013-04-30,2016-02-21,2016-02-23,5,0,1002,1,0,0 +8280,travis bryant,travis,bryant,2013-08-02,Male,1981-01-09,35,25 - 45,African-American,0,6,0,0,8,-1,2013-08-01 07:39:02,2013-08-10 07:34:46,13014514MM10A,2013-08-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-02,Risk of Violence,4,Low,2013-08-02,2013-08-01,2013-08-10,8,8,973,0,0,0 +8281,joann daley,joann,daley,2013-04-12,Female,1976-10-05,39,25 - 45,Caucasian,0,3,0,0,3,-1,2013-04-11 11:29:38,2013-04-12 12:46:49,05002511CF10A,,2005-05-19,2885,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-12,Risk of Violence,1,Low,2013-04-12,2013-04-11,2013-04-12,3,0,1085,0,0,0 +8282,carlos delatorre,carlos,delatorre,2013-09-22,Male,1995-03-23,21,Less than 25,Hispanic,1,8,0,0,1,-1,2013-09-21 09:01:29,2013-11-15 09:37:13,13013332CF10A,2013-09-21,,1,F,Felony Battery (Dom Strang),1,14007463MM10A,(M1),0,2014-05-06,Possess Cannabis/20 Grams Or Less,2014-05-06,2014-05-07,,1,14008214MM10A,(M1),2014-05-21,Battery,Risk of Recidivism,8,High,2013-09-22,Risk of Violence,6,Medium,2013-09-22,2014-05-06,2014-05-07,1,54,226,1,1,1 +8284,justin thomas,justin,thomas,2014-06-26,Male,1990-03-20,26,25 - 45,African-American,1,9,0,0,10,-1,2014-06-25 06:52:09,2014-06-26 09:02:39,14008754CF10A,,2014-06-25,1,F,arrest case no charge,1,14014516MM10A,(M1),0,2014-10-02,Obstruct Officer By Disguise,2014-10-02,2014-11-01,,1,14014516MM10A,(M1),2014-10-02,Battery,Risk of Recidivism,9,High,2014-06-26,Risk of Violence,5,Medium,2014-06-26,2014-10-02,2014-11-01,10,0,98,1,1,1 +8287,chasity acevedo,chasity,acevedo,2013-05-16,Female,1995-02-26,21,Less than 25,Caucasian,0,7,3,1,3,-1,2013-05-15 08:46:36,2013-05-16 08:50:20,13009386MM10A,2013-05-15,,1,M,Battery,1,13023229MM10A,(M1),0,2013-12-15,Battery,2013-12-15,2014-01-16,,1,13023229MM10A,(M1),2013-12-15,Battery,Risk of Recidivism,7,Medium,2013-05-16,Risk of Violence,7,Medium,2013-05-16,2013-12-15,2014-01-16,3,0,213,1,1,1 +8288,roger brown,roger,brown,2013-01-14,Male,1978-09-06,37,25 - 45,African-American,0,5,0,0,8,-1,2013-01-13 05:05:40,2013-01-27 09:09:14,13000605CF10A,,2013-01-13,1,F,arrest case no charge,1,15001900MM10A,(M1),0,2015-02-15,Trespass Other Struct/Conve,2015-02-15,2015-02-16,,0,,,,,Risk of Recidivism,5,Medium,2013-01-14,Risk of Violence,2,Low,2013-01-14,2015-02-15,2015-02-16,8,13,762,1,0,0 +8289,rodolfo gonzalez,rodolfo,gonzalez,2013-07-11,Male,1987-03-16,29,25 - 45,Caucasian,0,6,0,0,1,-77,2013-04-25 06:06:31,2013-04-26 04:08:56,13005973CF10A,2013-04-25,,77,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-11,Risk of Violence,3,Low,2013-07-11,2013-04-25,2013-04-26,1,0,995,0,0,0 +8291,chris ingraham,chris,ingraham,2013-05-21,Male,1956-12-25,59,Greater than 45,African-American,0,1,0,0,4,-66,2013-03-16 01:44:05,2013-05-21 11:04:46,12013966MM10A,,2013-03-15,67,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-21,Risk of Violence,1,Low,2013-05-21,2013-03-16,2013-05-21,4,0,1046,0,0,0 +8294,celia wagner,celia,wagner,2014-01-17,Female,1960-01-30,56,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-16 07:55:33,2014-01-17 01:26:59,14000848MM10A,2014-01-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-17,Risk of Violence,1,Low,2014-01-17,2014-01-16,2014-01-17,0,0,805,0,0,0 +8296,stephanie sawyer,stephanie,sawyer,2013-08-01,Female,1983-12-14,32,25 - 45,Caucasian,0,6,0,0,2,,,,13008784TC10A,2013-02-11,,171,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-01,Risk of Violence,3,Low,2013-08-01,,,2,0,974,0,0,0 +8298,matthew lingwood,matthew,lingwood,2014-01-28,Male,1985-08-15,30,25 - 45,Caucasian,0,2,0,0,0,-1,2014-01-27 01:38:16,2014-01-27 06:54:27,14001127CF10A,2014-01-26,,2,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-28,Risk of Violence,2,Low,2014-01-28,2014-01-27,2014-01-27,0,0,794,0,0,0 +8299,travis sweeting,travis,sweeting,2013-09-09,Male,1988-11-19,27,25 - 45,African-American,0,4,0,0,2,-1,2013-09-08 08:07:45,2013-09-11 08:26:49,13012698CF10A,2013-09-08,,1,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-09,Risk of Violence,3,Low,2013-09-09,2014-06-11,2014-06-20,2,2,275,0,0,0 +8301,perle roques,perle,roques,2013-02-05,Male,1987-04-17,29,25 - 45,Other,0,2,0,0,0,-1,2013-02-04 10:30:41,2013-02-06 08:54:44,13001742CF10A,2013-02-04,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-05,Risk of Violence,2,Low,2013-02-05,2013-02-04,2013-02-06,0,1,1151,0,0,0 +8303,jonathon irving,jonathon,irving,2013-07-15,Male,1991-07-25,24,Less than 25,African-American,0,4,0,0,1,216,2014-02-16 11:32:33,2014-02-17 05:30:00,11013082CF10A,,2012-09-20,298,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-07-15,Risk of Violence,4,Low,2013-07-15,2014-02-16,2014-02-17,1,0,216,0,0,0 +8304,kristen adams,kristen,adams,2013-09-26,Female,1988-07-14,27,25 - 45,Caucasian,0,10,0,0,6,-1,2013-09-25 04:05:03,2013-09-26 08:46:37,13013512CF10A,2013-09-25,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-26,Risk of Violence,9,High,2013-09-26,2014-07-09,2014-07-10,6,0,286,0,0,0 +8306,claudel galette,claudel,galette,2013-05-18,Male,1972-05-15,43,25 - 45,African-American,0,9,0,0,15,-1,2013-05-17 09:20:47,2013-05-18 07:39:32,13009562MM10A,2013-05-17,,1,M,Resist/Obstruct W/O Violence,1,13009426CF10A,(F3),1,2013-07-05,Tamper With Witness/Victim/CI,2013-07-06,2014-05-07,,1,13009426CF10A,(F3),2013-07-05,Felony Battery w/Prior Convict,Risk of Recidivism,9,High,2013-05-18,Risk of Violence,6,Medium,2013-05-18,2015-12-01,2020-01-01,15,0,48,1,1,1 +8307,patrice healey,patrice,healey,2014-02-04,Female,1963-04-02,53,Greater than 45,African-American,0,6,0,0,5,-1,2014-02-03 06:26:31,2014-02-05 01:44:53,14001595CF10A,2014-02-03,,1,F,Unlicensed Telemarketing,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-04,Risk of Violence,4,Low,2014-02-04,2014-02-03,2014-02-05,5,1,787,0,0,0 +8309,andrae cray,andrae,cray,2013-10-23,Male,1990-03-08,26,25 - 45,African-American,0,5,1,0,6,-8,2013-10-15 07:14:52,2013-10-17 05:10:33,12015557TC10A,,2013-10-15,8,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-23,Risk of Violence,4,Low,2013-10-23,2015-07-17,2015-08-01,6,0,632,0,0,0 +8311,veronica leonard,veronica,leonard,2013-01-07,Female,1991-09-29,24,Less than 25,Caucasian,0,6,0,0,1,-1,2013-01-06 06:05:41,2013-01-07 01:30:24,11005355CF10A,,2013-01-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-07,Risk of Violence,6,Medium,2013-01-07,2013-01-06,2013-01-07,1,0,1180,0,0,0 +8312,ty-shawn smith,ty-shawn,smith,2013-10-25,Male,1985-12-31,30,25 - 45,African-American,0,6,0,0,0,0,2013-10-25 03:07:46,2013-10-25 07:52:05,13014922CF10A,2013-10-25,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2013-10-25,2013-10-25,0,0,889,0,0,0 +8314,kharee woods,kharee,woods,2013-01-22,Male,1989-10-09,26,25 - 45,African-American,0,9,0,0,4,-1,2013-01-21 11:29:04,2013-01-22 09:38:34,13000961CF10A,2013-01-21,,1,F,Driving While License Revoked,1,15027878TC40A,(M2),,2015-05-08,Driving License Suspended,,,,0,,,,,Risk of Recidivism,9,High,2013-01-22,Risk of Violence,7,Medium,2013-01-22,2013-06-21,2013-07-01,4,0,150,0,0,0 +8317,ruben santiago,ruben,santiago,2014-02-21,Male,1979-02-19,37,25 - 45,Hispanic,0,5,0,0,4,,,,12010699CF10A,2012-07-20,,581,F,Conspiracy to Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-21,Risk of Violence,2,Low,2014-02-21,2009-01-22,2009-02-01,4,0,770,0,0,0 +8318,george turner,george,turner,2013-05-06,Male,1961-05-23,54,Greater than 45,African-American,0,1,0,0,4,-1,2013-05-05 04:15:11,2013-05-07 03:53:33,11017440CF10A,,2013-05-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-05,2013-05-07,4,1,1061,0,0,0 +8328,daniel cortes,daniel,cortes,2014-10-04,Male,1990-04-03,26,25 - 45,Caucasian,0,8,0,3,10,0,2014-10-04 06:08:11,2014-10-05 02:46:08,14035976MU10A,2014-10-04,,0,M,Driving License Suspended,1,15006963TC30A,(M1),41,2015-01-20,Opert With Susp DL 2nd Offens,2015-03-02,2015-03-03,,1,15013465CF10A,(F2),2015-10-16,Agg Fleeing/Eluding High Speed,Risk of Recidivism,8,High,2014-10-04,Risk of Violence,7,Medium,2014-10-04,2015-01-06,2015-01-15,10,1,94,0,1,1 +8340,richard daniels,richard,daniels,2013-05-29,Male,1970-06-16,45,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-28 12:08:40,2013-05-29 02:13:09,13007626CF10A,2013-05-28,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-28,2013-05-29,0,0,1038,0,0,0 +8341,irving tepper,irving,tepper,2013-11-13,Male,1968-07-10,47,Greater than 45,Caucasian,0,5,0,0,1,-1,2013-11-12 11:13:35,2013-11-13 01:03:30,13021316MM10A,2013-11-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-13,Risk of Violence,3,Low,2013-11-13,2013-11-12,2013-11-13,1,0,870,0,0,0 +8343,ryan reyes,ryan,reyes,2013-05-09,Male,1985-12-19,30,25 - 45,Hispanic,0,8,0,0,7,269,2014-02-02 01:24:30,2014-02-02 08:03:53,12018195CF10A,2012-12-14,,146,F,Possession of Cannabis,1,14003988MU10A,(M1),1,2014-02-01,Opert With Susp DL 2nd Offens,2014-02-02,2014-02-02,,1,15012048CF10A,(F3),2015-08-04,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2013-05-09,Risk of Violence,7,Medium,2013-05-09,2015-11-05,2015-11-06,7,0,268,1,1,1 +8347,gregory steele,gregory,steele,2013-02-15,Male,1965-11-23,50,Greater than 45,Caucasian,0,2,0,0,1,693,2015-01-09 12:32:07,2015-03-06 03:04:36,08015707CF10A,,2012-10-01,137,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-15,Risk of Violence,4,Low,2013-02-15,2015-01-09,2015-03-06,1,0,693,0,0,0 +8348,henry zukowski,henry,zukowski,2014-01-29,Male,1958-07-31,57,Greater than 45,Caucasian,0,1,0,0,3,-52,2013-12-08 01:54:51,2013-12-20 09:17:41,13016970CF10A,2013-12-08,,52,M,Fraud Obtain Food or Lodging,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-29,Risk of Violence,1,Low,2014-01-29,2013-12-08,2013-12-20,3,0,793,0,0,0 +8349,eric saddler,eric,saddler,2013-05-17,Male,1984-08-21,31,25 - 45,African-American,0,1,0,0,2,-1,2013-05-16 11:28:32,2013-05-18 04:21:53,13007041CF10A,2013-05-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-17,Risk of Violence,2,Low,2013-05-17,2013-05-16,2013-05-18,2,1,1050,0,0,0 +8355,phillip powell,phillip,powell,2013-12-17,Male,1988-03-21,28,25 - 45,African-American,0,4,0,0,2,-1,2013-12-16 10:24:07,2013-12-17 01:08:11,13017379CF10A,2013-12-16,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-17,Risk of Violence,4,Low,2013-12-17,2013-12-16,2013-12-17,2,0,836,0,0,0 +8358,shawntoria jefferson,shawntoria,jefferson,2013-10-10,Female,1994-06-23,21,Less than 25,African-American,0,6,0,0,0,-1,2013-10-09 09:17:03,2013-10-10 08:01:27,13014168CF10A,2013-10-09,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-10,Risk of Violence,7,Medium,2013-10-10,2013-10-09,2013-10-10,0,0,904,0,0,0 +8360,jordan douglas,jordan,douglas,2014-02-27,Male,1991-03-17,25,25 - 45,African-American,0,9,0,1,4,-1,2014-02-26 05:42:51,2014-08-15 03:57:35,14002740CF10A,2014-02-26,,1,F,Burglary Unoccupied Dwelling,1,15072982TC40A,(M2),,2015-12-26,Fail Register Vehicle,,,,1,16000178MM10A,(M1),2016-01-05,Battery,Risk of Recidivism,9,High,2014-02-27,Risk of Violence,8,High,2014-02-27,2015-02-20,2015-03-03,4,169,358,0,1,1 +8361,james adams,james,adams,2013-10-17,Male,1978-10-02,37,25 - 45,African-American,0,7,0,0,7,-1,2013-10-16 02:11:36,2013-10-17 07:39:15,13014487CF10A,2013-10-16,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-10-17,Risk of Violence,3,Low,2013-10-17,2014-04-06,2014-04-07,7,0,171,0,0,0 +8364,muzaffer kilic,muzaffer,kilic,2013-12-18,Male,1960-01-01,56,Greater than 45,Other,0,1,0,0,0,-1,2013-12-17 08:41:27,2013-12-24 10:49:15,13023380MM10A,2013-12-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-18,Risk of Violence,1,Low,2013-12-18,2013-12-17,2013-12-24,0,6,835,0,0,0 +8365,edgar christie,edgar,christie,2013-04-20,Male,1991-09-15,24,Less than 25,African-American,0,3,0,0,0,-1,2013-04-19 07:16:54,2013-04-20 07:45:15,13007624MM10A,2013-04-19,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-04-19,2013-04-20,0,0,1077,0,0,0 +8369,william taylor,william,taylor,2013-04-02,Male,1968-06-17,47,Greater than 45,Caucasian,0,2,0,0,5,-1,2013-04-01 10:51:38,2013-04-06 07:54:08,13006247MM10A,2013-04-01,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-02,Risk of Violence,3,Low,2013-04-02,2013-04-01,2013-04-06,5,4,1095,0,0,0 +8373,anthony fasano,anthony,fasano,2013-04-04,Male,1950-03-06,66,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-04-03 11:44:55,2013-05-30 08:03:33,13006498MM10A,2013-04-03,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,2013-04-03,2013-05-30,2,56,1093,0,0,0 +8379,christopher sheehan,christopher,sheehan,2013-10-04,Male,1939-09-27,76,Greater than 45,Asian,0,1,0,0,0,-2,2013-10-02 12:20:37,2013-10-04 12:06:04,13013779CF10A,2013-10-01,,3,F,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-04,Risk of Violence,1,Low,2013-10-04,2013-10-02,2013-10-04,0,0,910,0,0,0 +8381,lesean mountain,lesean,mountain,2013-05-05,Male,1980-06-06,35,25 - 45,African-American,0,4,0,0,1,0,2013-05-05 01:29:39,2013-05-06 07:57:31,13008717MM10A,2013-05-05,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-05,Risk of Violence,4,Low,2013-05-05,2013-05-05,2013-05-06,1,1,1062,0,0,0 +8384,shawanna oussifi,shawanna,oussifi,2013-02-19,Female,1976-08-20,39,25 - 45,African-American,0,3,0,0,3,,,,12011145CF10A,2012-07-27,,207,F,Arson in the First Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-19,Risk of Violence,3,Low,2013-02-19,,,3,0,1137,0,0,0 +8386,hope roberts,hope,roberts,2013-09-05,Male,1991-12-12,24,Less than 25,African-American,0,5,0,0,0,-1,2013-09-04 07:48:04,2013-09-06 08:35:11,13012494CF10A,2013-09-04,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-05,Risk of Violence,5,Medium,2013-09-05,2013-09-04,2013-09-06,0,1,939,0,0,0 +8389,andrew sutton,andrew,sutton,2013-03-14,Male,1988-11-18,27,25 - 45,Caucasian,0,9,0,0,4,,,,12014025CF10A,2012-09-22,,173,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-14,Risk of Violence,9,High,2013-03-14,,,4,0,1114,0,0,0 +8390,joshua colon,joshua,colon,2013-02-22,Male,1979-07-06,36,25 - 45,Caucasian,0,3,0,0,0,-1,2013-02-21 09:36:26,2013-02-22 07:13:08,13002696CF10A,2013-02-21,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-22,Risk of Violence,4,Low,2013-02-22,2014-06-11,2014-06-18,0,0,474,0,0,0 +8403,shawn smith,shawn,smith,2014-09-23,Male,1996-07-10,19,Less than 25,African-American,0,4,0,0,0,-1,2014-09-22 08:28:34,2014-09-23 02:17:43,14012825CF10A,2014-09-22,,1,F,Resist Officer w/Violence,1,14015144MM10A,(M2),0,2014-10-16,Unlawful Assembly,2014-10-16,2014-12-12,,1,14015144MM10A,(M1),2014-10-16,Battery,Risk of Recidivism,4,Low,2014-09-23,Risk of Violence,7,Medium,2014-09-23,2014-10-16,2014-12-12,0,0,23,1,1,1 +8404,alfonso mendoza,alfonso,mendoza,2014-02-25,Male,1969-09-16,46,Greater than 45,Caucasian,0,1,0,0,1,,,,14002654CF10A,,2014-02-25,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-25,Risk of Violence,1,Low,2014-02-25,,,1,0,766,0,0,0 +8405,teddy burrows,teddy,burrows,2013-02-11,Male,1975-12-11,40,25 - 45,African-American,0,4,0,0,2,-1,2013-02-10 07:02:08,2013-02-11 10:55:14,13002057CF10A,2013-02-10,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-11,2,0,1145,0,0,0 +8407,brandon poe,brandon,poe,2014-11-14,Male,1987-05-27,28,25 - 45,Caucasian,0,3,0,0,0,-1,2014-11-13 11:57:15,2014-11-14 01:49:54,14015228CF10A,2014-11-13,,1,F,Manufacture Cannabis,1,15005560CF10A,(F3),1,2015-04-28,Felony Battery (Dom Strang),2015-04-29,2015-12-22,,1,15005560CF10A,(F3),2015-04-28,Felony Battery (Dom Strang),Risk of Recidivism,3,Low,2014-11-14,Risk of Violence,2,Low,2014-11-14,2016-03-08,2016-03-29,0,0,165,1,1,1 +8408,hanyu wang,hanyu,wang,2013-10-06,Male,1988-12-26,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-10-05 12:18:21,2013-10-07 08:17:22,13018961MM10A,2013-10-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-06,Risk of Violence,3,Low,2013-10-06,2013-10-05,2013-10-07,0,1,908,0,0,0 +8411,brandon whitfield,brandon,whitfield,2013-09-26,Male,1990-12-09,25,25 - 45,African-American,0,6,0,0,7,-1,2013-09-25 01:18:58,2013-10-13 04:17:21,13013473CF10A,,2013-09-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-26,Risk of Violence,4,Low,2013-09-26,2013-09-25,2013-10-13,7,17,918,0,0,0 +8415,nicholas maczko,nicholas,maczko,2013-08-14,Male,1983-04-10,33,25 - 45,Caucasian,0,6,0,0,4,-56,2013-06-19 09:46:06,2013-08-14 10:00:59,13008670CF10A,2013-06-19,,56,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-14,Risk of Violence,5,Medium,2013-08-14,2014-08-13,2014-08-14,4,0,364,0,0,0 +8416,ampella guy,ampella,guy,2013-07-26,Female,1991-05-17,24,Less than 25,African-American,0,3,0,0,0,-2,2013-07-24 10:44:57,2013-07-25 08:44:12,13010385CF10A,2013-07-24,,2,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-26,Risk of Violence,3,Low,2013-07-26,2013-07-24,2013-07-25,0,0,980,0,0,0 +8418,neil elder,neil,elder,2013-04-17,Male,1971-11-06,44,25 - 45,Caucasian,0,7,0,0,0,-1,2013-04-16 04:51:29,2013-04-20 05:57:46,13005462CF10A,2013-04-16,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-17,Risk of Violence,4,Low,2013-04-17,2014-02-06,2014-03-17,0,3,295,0,0,0 +8419,eddie dean,eddie,dean,2013-10-20,Male,1972-04-11,44,25 - 45,African-American,0,1,0,0,0,-1,2013-10-19 10:50:50,2013-10-20 02:20:06,13014651CF10A,2013-10-19,,1,F,Felony/Driving Under Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-20,Risk of Violence,1,Low,2013-10-20,2013-10-19,2013-10-20,0,0,894,0,0,0 +8421,davahu barrett,davahu,barrett,2013-11-26,Female,1992-07-28,23,Less than 25,African-American,0,7,0,0,0,0,2013-11-26 03:42:42,2013-11-27 01:18:05,13022238MM10A,2013-11-26,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-26,Risk of Violence,5,Medium,2013-11-26,2013-11-26,2013-11-27,0,1,857,0,0,0 +8423,derrick pierre,derrick,pierre,2013-03-10,Male,1989-02-15,27,25 - 45,African-American,0,2,0,1,0,0,2013-03-10 12:16:08,2013-03-10 07:11:00,13003511CF10A,2013-03-09,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-10,Risk of Violence,3,Low,2013-03-10,2013-03-10,2013-03-10,0,0,1118,0,0,0 +8426,kevin dumey,kevin,dumey,2013-02-20,Male,1960-09-13,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-19 09:53:34,2013-02-20 06:33:27,13002524CF10A,2013-02-19,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-19,2013-02-20,0,0,1136,0,0,0 +8427,carlos santiago-ortiz,carlos,santiago-ortiz,2013-12-14,Male,1948-08-21,67,Greater than 45,Hispanic,0,1,0,0,0,,,,,,,,M,,1,15004901MM10A,(M1),0,2015-04-30,Battery,2015-04-30,2015-06-02,,1,15004901MM10A,(M1),2015-04-30,Battery,Risk of Recidivism,1,Low,2013-12-14,Risk of Violence,1,Low,2013-12-14,2015-04-30,2015-06-02,0,0,502,1,1,1 +8429,joseph mortenson,joseph,mortenson,2013-08-28,Male,1970-08-16,45,Greater than 45,Hispanic,0,6,0,0,6,630,2015-05-20 08:58:57,2015-06-30 07:07:00,12003092CF10A,,2012-11-16,285,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-28,Risk of Violence,4,Low,2013-08-28,2015-05-20,2015-06-30,6,0,630,0,0,0 +8434,jhony milo,jhony,milo,2014-09-27,Male,1981-04-22,34,25 - 45,African-American,0,8,0,0,0,-1,2014-09-26 02:13:08,2014-10-29 10:16:27,14013051CF10A,2014-09-26,,1,F,Possession of Cocaine,1,15005640CF10A,(F3),,2015-02-08,Aggravated Assault w/Firearm,,,,1,15005640CF10A,(F3),2015-02-08,Aggravated Assault w/Firearm,Risk of Recidivism,8,High,2014-09-27,Risk of Violence,3,Low,2014-09-27,2014-09-26,2014-10-29,0,32,134,1,1,1 +8435,jabari hopkins,jabari,hopkins,2013-10-08,Male,1991-12-18,24,Less than 25,African-American,0,2,0,0,1,-1,2013-10-07 09:18:48,2013-10-08 02:16:44,13014080CF10A,,2013-10-07,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-08,Risk of Violence,3,Low,2013-10-08,2014-01-07,2014-01-16,1,0,91,0,0,0 +8437,emonte banks,emonte,banks,2013-12-23,Male,1974-01-01,42,25 - 45,African-American,0,1,0,0,7,-1,2013-12-22 09:32:59,2013-12-23 01:56:25,13017620CF10A,2013-12-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-22,2013-12-23,7,0,830,0,0,0 +8439,daniel castellanos,daniel,castellanos,2014-01-09,Male,1985-05-24,30,25 - 45,Hispanic,0,4,0,0,3,-6,2014-01-03 05:18:54,2014-01-05 08:02:37,14006367MU10A,2014-01-03,,6,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-09,Risk of Violence,5,Medium,2014-01-09,2014-01-03,2014-01-05,3,0,813,0,0,0 +8440,marco nicholls,marco,nicholls,2013-05-02,Male,1975-08-20,40,25 - 45,Caucasian,0,4,0,0,6,-1,2013-05-01 09:47:42,2013-05-02 04:48:43,13006265CF10A,2013-05-01,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-02,Risk of Violence,2,Low,2013-05-02,2015-10-15,2015-10-22,6,0,896,0,0,0 +8445,lee quinones,lee,quinones,2013-02-21,Male,1992-02-09,24,Less than 25,Hispanic,0,8,0,0,1,,,,11014564CF10A,,2012-12-26,57,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-21,Risk of Violence,7,Medium,2013-02-21,,,1,0,1135,0,0,0 +8446,mahmud lama,mahmud,lama,2013-12-23,Male,1992-04-07,24,Less than 25,Asian,0,6,0,0,4,-120,2013-08-25 07:02:49,2013-08-25 07:53:53,13012008CF10A,,2013-12-04,19,F,arrest case no charge,1,14015095MM10A,(M1),0,2014-10-15,Battery,2014-10-15,2014-10-15,,1,14015095MM10A,(M1),2014-10-15,Battery,Risk of Recidivism,6,Medium,2013-12-23,Risk of Violence,4,Low,2013-12-23,2014-10-15,2014-10-15,4,0,296,0,1,1 +8447,ryan whittaker,ryan,whittaker,2013-08-07,Male,1985-10-28,30,25 - 45,Other,0,9,0,0,13,-1,2013-08-06 03:52:47,2013-08-07 08:20:36,13010996CF10A,2013-08-06,,1,F,Deliver Cannabis,1,13012138CF10A,(M2),0,2013-08-28,Susp Drivers Lic 1st Offense,2013-08-28,2013-08-30,,1,13012138CF10A,(F2),2013-08-28,Agg Fleeing/Eluding High Speed,Risk of Recidivism,9,High,2013-08-07,Risk of Violence,5,Medium,2013-08-07,2013-08-28,2013-08-30,13,0,21,1,1,1 +8448,davon walthour,davon,walthour,2013-04-05,Male,1985-04-26,30,25 - 45,African-American,0,3,0,0,4,326,2014-02-25 10:46:58,2014-03-03 09:21:12,13004803CF10A,2013-04-03,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-05,Risk of Violence,2,Low,2013-04-05,2014-02-25,2014-03-03,4,0,326,0,0,0 +8452,louis matrone,louis,matrone,2013-05-29,Male,1989-02-15,27,25 - 45,Caucasian,0,3,0,0,1,-1,2013-05-28 05:17:39,2013-06-28 12:05:32,13010246MM10A,2013-05-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-29,Risk of Violence,4,Low,2013-05-29,2013-05-28,2013-06-28,1,30,1038,0,0,0 +8456,dwayne haynes,dwayne,haynes,2013-01-28,Male,1978-07-03,37,25 - 45,African-American,0,3,0,0,3,-1,2013-01-27 04:36:41,2013-04-18 02:31:15,13001927MM10A,2013-01-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-28,Risk of Violence,2,Low,2013-01-28,2013-01-27,2013-04-18,3,80,1159,0,0,0 +8457,glendel paul,glendel,paul,2014-03-11,Male,1990-07-18,25,25 - 45,African-American,0,2,0,0,1,0,2014-03-11 05:37:31,2014-03-11 08:37:39,14003435CF10A,2014-03-11,,0,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-11,Risk of Violence,3,Low,2014-03-11,2014-03-11,2014-03-11,1,0,752,0,0,0 +8458,lulio calderon,lulio,calderon,2014-02-03,Male,1970-09-19,45,Greater than 45,Caucasian,0,1,0,0,2,-1,2014-02-02 08:57:44,2014-02-10 08:22:26,14000557CF10A,,2014-02-03,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-02,2014-02-10,2,7,788,0,0,0 +8462,leonard renta,leonard,renta,2013-09-03,Male,1984-06-30,31,25 - 45,Caucasian,0,5,0,0,1,-3,2013-08-31 09:04:51,2013-09-01 02:06:30,13012320CF10A,2013-08-31,,3,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-03,Risk of Violence,2,Low,2013-09-03,2013-08-31,2013-09-01,1,0,941,0,0,0 +8463,roy brooks,roy,brooks,2013-04-07,Male,1992-07-04,23,Less than 25,African-American,0,5,0,0,0,-1,2013-04-06 09:06:58,2013-04-10 05:44:03,13004945CF10A,2013-04-06,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-07,Risk of Violence,8,High,2013-04-07,2013-04-06,2013-04-10,0,3,1090,0,0,0 +8465,anthony barrow,anthony,barrow,2014-03-10,Male,1995-02-08,21,Less than 25,African-American,0,4,0,0,0,0,2014-03-10 04:22:06,2014-03-12 11:18:43,14003376CF10A,2014-03-10,,0,F,Possession Firearm School Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-10,Risk of Violence,8,High,2014-03-10,2014-03-10,2014-03-12,0,2,753,0,0,0 +8468,darriss cooper,darriss,cooper,2013-08-19,Male,1980-10-14,35,25 - 45,African-American,0,1,0,0,0,-1,2013-08-18 11:38:41,2013-08-19 06:55:15,13011587CF10A,2013-08-18,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-19,0,0,956,0,0,0 +8475,jillian slone,jillian,slone,2013-11-18,Female,1983-07-21,32,25 - 45,Caucasian,0,2,0,0,5,-29,2013-10-20 11:26:38,2013-10-25 01:43:47,13008795CF10A,2013-06-22,,149,F,Burglary Dwelling Assault/Batt,1,16013758TC30A,(M2),,2016-02-29,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-18,Risk of Violence,2,Low,2013-11-18,2013-10-20,2013-10-25,5,0,833,1,0,0 +8476,danny farmer,danny,farmer,2013-08-21,Male,1963-06-24,52,Greater than 45,Caucasian,0,1,0,0,2,-44,2013-07-08 12:45:06,2013-08-09 11:20:21,13012897MM10A,2013-07-07,,45,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-21,Risk of Violence,1,Low,2013-08-21,2013-10-16,2013-12-09,2,0,56,0,0,0 +8477,troy fountain,troy,fountain,2013-11-23,Male,1990-08-11,25,25 - 45,African-American,0,4,0,0,2,-1,2013-11-22 08:30:44,2013-11-23 10:09:46,13016257CF10A,,2013-11-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-23,Risk of Violence,4,Low,2013-11-23,2015-03-10,2015-03-14,2,0,472,0,0,0 +8478,edward willis,edward,willis,2014-02-11,Male,1981-09-16,34,25 - 45,Caucasian,0,7,1,0,15,-1,2014-02-10 11:36:28,2014-02-11 12:32:43,14001876CF10A,2014-02-10,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-02-11,Risk of Violence,6,Medium,2014-02-11,2014-02-10,2014-02-11,15,0,780,0,0,0 +8482,emerey boddie,emerey,boddie,2013-07-16,Male,1965-06-22,50,Greater than 45,African-American,0,9,0,0,9,,,,12018201CF10A,2012-12-13,,215,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-07-16,Risk of Violence,7,Medium,2013-07-16,1999-07-13,2000-06-05,9,0,990,0,0,0 +8483,princess walker,princess,walker,2013-10-20,Female,1985-10-15,30,25 - 45,African-American,0,5,0,0,4,-1,2013-10-19 07:52:55,2013-10-20 08:37:47,13014631CF10A,2013-10-19,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-20,Risk of Violence,2,Low,2013-10-20,2013-10-19,2013-10-20,4,0,894,0,0,0 +8487,brian carter,brian,carter,2013-04-08,Male,1978-11-07,37,25 - 45,Caucasian,0,8,0,0,3,-1,2013-04-07 05:57:47,2013-12-05 05:48:25,13004968CF10A,2013-04-07,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-08,Risk of Violence,5,Medium,2013-04-08,2014-04-25,2014-05-12,3,241,382,0,0,0 +8488,cedrick martin,cedrick,martin,2013-02-14,Male,1978-10-29,37,25 - 45,African-American,0,5,0,0,8,-1,2013-02-13 06:27:07,2013-02-14 08:49:30,13003211MM10A,2013-02-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-14,Risk of Violence,5,Medium,2013-02-14,2013-02-13,2013-02-14,8,0,1142,0,0,0 +8494,madeline cuello,madeline,cuello,2013-03-22,Female,1985-04-03,31,25 - 45,Caucasian,0,2,0,0,0,0,2013-03-22 12:00:37,2013-03-26 09:46:03,13005575MM10A,2013-03-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-22,Risk of Violence,2,Low,2013-03-22,2013-03-22,2013-03-26,0,4,1106,0,0,0 +8500,keandre owens,keandre,owens,2013-01-18,Male,1993-10-27,22,Less than 25,African-American,0,7,0,0,0,-1,2013-01-17 01:22:02,2013-03-08 04:39:17,13000825CF10A,2013-01-17,,1,F,Burglary Unoccupied Dwelling,1,13022001MM10A,(M1),0,2013-11-22,Petit Theft $100- $300,2013-11-22,2013-12-11,,1,14009268CF10A,(F2),2014-06-21,Robbery / No Weapon,Risk of Recidivism,7,Medium,2013-01-18,Risk of Violence,7,Medium,2013-01-18,2013-11-22,2013-12-11,0,49,308,1,1,1 +8503,michael mitchell,michael,mitchell,2013-03-19,Male,1985-05-14,30,25 - 45,African-American,0,2,0,0,1,-1,2013-03-18 11:22:54,2013-03-19 06:38:59,13005331MM10A,2013-03-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-19,Risk of Violence,3,Low,2013-03-19,2013-03-18,2013-03-19,1,0,1109,0,0,0 +8507,james jahmekie,james,jahmekie,2014-03-02,Female,1995-06-01,20,Less than 25,Other,0,4,0,0,1,-1,2014-03-01 08:06:39,2014-03-02 08:12:02,14003538MM10A,2014-03-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-02,Risk of Violence,6,Medium,2014-03-02,2014-03-01,2014-03-02,1,0,761,0,0,0 +8508,anton anderson,anton,anderson,2013-04-10,Male,1986-09-11,29,25 - 45,African-American,0,2,0,0,0,0,2013-04-10 04:22:08,2013-04-11 05:07:05,13006967MM10A,2013-04-10,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,3,Low,2013-04-10,2013-04-10,2013-04-11,0,1,1087,0,0,0 +8511,christopher everhardt,christopher,everhardt,2014-01-07,Male,1991-04-20,24,Less than 25,Caucasian,0,3,0,0,0,-1,2014-01-06 04:11:19,2014-01-08 10:45:03,14000242CF10A,2014-01-06,,1,F,Falsely Impersonating Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-07,Risk of Violence,4,Low,2014-01-07,2014-01-06,2014-01-08,0,1,815,0,0,0 +8514,corinne brainard,corinne,brainard,2013-01-11,Female,1969-12-07,46,Greater than 45,Caucasian,0,1,0,0,1,339,2013-12-16 07:59:35,2014-01-16 09:49:15,12025316MM10A,2012-12-12,,30,M,Battery,1,13017367CF10A,(F2),0,2013-12-16,Aggravated Battery,2013-12-16,2014-01-16,,1,13017367CF10A,(F2),2013-12-16,Aggravated Battery,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-12-16,2014-01-16,1,0,339,1,1,1 +8515,ghislene muselaire,ghislene,muselaire,2013-12-15,Female,1979-07-24,36,25 - 45,African-American,0,2,0,0,1,-1,2013-12-14 05:59:59,2013-12-15 09:13:09,13017299CF10A,2013-12-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-14,2013-12-15,1,0,838,0,0,0 +8517,jovanni thorpe,jovanni,thorpe,2014-05-22,Male,1992-06-28,23,Less than 25,African-American,0,3,0,0,0,-1,2014-05-21 02:29:44,2014-05-22 01:55:58,14008229MM10A,2014-05-21,,1,M,Battery,1,15003369CF10A,(F2),0,2015-03-12,Robbery W/Firearm,2015-03-12,2015-09-21,,1,15003369CF10A,(F2),2015-03-12,Robbery W/Firearm,Risk of Recidivism,3,Low,2014-05-22,Risk of Violence,4,Low,2014-05-22,2015-03-12,2015-09-21,0,0,294,1,1,1 +8520,alain williams,alain,williams,2014-04-24,Male,1986-12-12,29,25 - 45,African-American,0,6,0,0,6,-1,2014-04-23 02:44:54,2014-04-24 03:44:57,14005681CF10A,2014-04-23,,1,F,Felony Driving While Lic Suspd,1,14069046TC40A,(M2),,2014-10-05,DWLS Canceled Disqul 1st Off,,,,1,14013798CF10A,(F3),2014-10-12,Battery on Law Enforc Officer,Risk of Recidivism,6,Medium,2014-04-24,Risk of Violence,5,Medium,2014-04-24,2014-10-12,2014-11-13,6,0,164,1,1,1 +8523,stephanie velasquez,stephanie,velasquez,2013-03-25,Female,1994-01-11,22,Less than 25,Hispanic,0,4,0,0,1,-4,2013-03-21 09:23:27,2013-03-22 08:46:08,13004122CF10A,2013-03-21,,4,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-25,Risk of Violence,5,Medium,2013-03-25,2013-03-21,2013-03-22,1,0,1103,0,0,0 +8524,jeffrey steele,jeffrey,steele,2014-01-04,Male,1987-01-20,29,25 - 45,African-American,0,5,0,0,4,-1,2014-01-03 08:50:29,2014-01-04 08:41:19,14000153MM10A,2014-01-03,,1,M,Assault,1,16008462TC20A,(M2),,2016-02-10,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-04,Risk of Violence,6,Medium,2014-01-04,2014-01-03,2014-01-04,4,0,767,1,0,0 +8526,daphne robinson,daphne,robinson,2013-09-19,Female,1989-10-14,26,25 - 45,African-American,0,9,0,0,0,-6,2013-09-13 01:13:58,2013-09-19 11:14:04,13012957CF10A,2013-09-13,,6,M,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-19,Risk of Violence,7,Medium,2013-09-19,2013-11-04,2013-11-08,0,0,46,0,0,0 +8528,levon mack,levon,mack,2013-11-01,Male,1984-02-04,32,25 - 45,African-American,0,2,0,0,1,-1,2013-10-31 10:30:22,2014-02-07 04:46:55,13015202CF10A,2013-10-31,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-01,Risk of Violence,2,Low,2013-11-01,2013-10-31,2014-02-07,1,98,882,0,0,0 +8530,luis gaitan,luis,gaitan,2014-02-23,Male,1970-10-15,45,Greater than 45,Hispanic,0,1,0,0,0,0,2014-02-23 02:42:34,2014-02-24 12:17:32,14002557CF10A,2014-02-22,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-23,Risk of Violence,1,Low,2014-02-23,2016-01-14,2016-01-25,0,1,690,0,0,0 +8532,jamal hanna,jamal,hanna,2013-10-17,Male,1986-01-17,30,25 - 45,African-American,0,2,0,0,1,-1,2013-10-16 08:02:20,2014-01-08 01:09:58,13014486CF10A,2013-10-16,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-17,Risk of Violence,2,Low,2013-10-17,2013-10-16,2014-01-08,1,83,897,0,0,0 +8533,jude ferdinand,jude,ferdinand,2013-04-20,Male,1990-06-29,25,25 - 45,African-American,0,5,0,0,0,-1,2013-04-19 08:44:54,2013-04-20 07:40:27,13005610CF10A,2013-04-19,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-04-19,2013-04-20,0,0,1077,0,0,0 +8539,robertson mondestin,robertson,mondestin,2014-03-04,Male,1991-11-03,24,Less than 25,African-American,0,6,0,0,5,0,2014-03-04 12:52:41,2014-03-04 09:07:07,14003000CF10A,2014-03-03,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-04,Risk of Violence,4,Low,2014-03-04,2015-05-22,2015-05-24,5,0,444,0,0,0 +8544,david lawrence,david,lawrence,2014-01-27,Male,1986-05-14,29,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-26 06:15:41,2014-01-27 01:32:18,14001456MM10A,2014-01-26,,1,M,Battery,1,14008045MM10A,(M1),0,2014-05-17,Viol Pretrial Release Dom Viol,2014-05-17,2014-05-23,,1,14008045MM10A,(M1),2014-05-17,Battery,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,2,Low,2014-01-27,2014-05-17,2014-05-23,0,0,110,1,1,1 +8546,john rentas,john,rentas,2014-03-02,Male,1994-09-08,21,Less than 25,Caucasian,0,5,0,0,1,-1,2014-03-01 04:36:34,2014-03-02 04:12:07,14004735MM10A,,2014-03-01,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-02,Risk of Violence,4,Low,2014-03-02,2015-04-09,2015-04-10,1,0,403,0,0,0 +8548,christopher bynes,christopher,bynes,2013-08-13,Male,1977-08-07,38,25 - 45,African-American,1,9,2,2,22,-34,2013-07-10 07:07:35,2013-07-11 04:34:30,13002336MM20A,2013-07-29,,15,M,Possess Cannabis/20 Grams Or Less,1,15002318CF10A,(F1),0,2015-02-19,Tampering with a Victim,2015-02-19,2015-04-09,,1,15002318CF10A,(F2),2015-02-19,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-08-13,Risk of Violence,9,High,2013-08-13,2013-11-04,2013-11-23,22,0,83,0,1,1 +8550,rolando diaz,rolando,diaz,2013-06-21,Male,1953-09-15,62,Greater than 45,Hispanic,0,2,0,0,5,59,2013-08-19 03:24:25,2013-09-12 10:31:00,11020604CF10A,2011-12-20,,549,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-21,Risk of Violence,2,Low,2013-06-21,2013-08-19,2013-09-12,5,0,59,0,0,0 +8551,constance chapin,constance,chapin,2013-10-25,Female,1969-12-13,46,Greater than 45,Caucasian,0,1,0,0,1,-30,2013-09-25 12:39:53,2013-10-25 10:50:37,06011505CF10A,,2013-09-25,30,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-25,Risk of Violence,1,Low,2013-10-25,2016-01-23,2016-01-24,1,0,820,0,0,0 +8560,stephen sisson,stephen,sisson,2013-10-15,Male,1968-06-19,47,Greater than 45,Caucasian,0,1,0,0,2,-30,2013-09-15 05:58:40,2013-10-13 02:50:10,13017551MM10A,2013-09-15,,30,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-15,Risk of Violence,1,Low,2013-10-15,2015-01-06,2015-02-24,2,0,448,0,0,0 +8563,jose alvarado,jose,alvarado,2014-03-21,Male,1988-12-24,27,25 - 45,Hispanic,0,2,0,0,1,-41,2014-02-08 09:14:47,2014-02-09 07:46:15,14005083MU10A,2014-02-08,,41,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-21,Risk of Violence,3,Low,2014-03-21,2014-02-08,2014-02-09,1,0,742,0,0,0 +8565,rony nordelus,rony,nordelus,2014-06-16,Male,1986-02-24,30,25 - 45,African-American,0,10,0,0,13,-1,2014-06-15 06:51:59,2015-10-03 06:50:34,15013973CF10A,2014-06-15,,1,F,Felony Battery,1,15014230CF10A,(F3),,2015-10-01,Felony Battery,,,,1,15014230CF10A,(F3),2015-10-01,Felony Battery,Risk of Recidivism,10,High,2014-06-16,Risk of Violence,7,Medium,2014-06-16,2014-06-15,2015-10-03,13,0,472,1,1,1 +8569,ian joseph,ian,joseph,2013-09-04,Male,1967-04-24,48,Greater than 45,Caucasian,0,1,0,0,2,-43,2013-07-23 11:29:22,2013-07-27 09:26:10,13010337CF10A,2013-07-23,,43,F,Possession of Oxycodone,1,14001702MM20A,(M1),77,2014-04-24,Battery,2014-07-10,2014-07-15,,1,14001702MM20A,(M1),2014-04-24,Battery,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2014-12-15,2014-12-16,2,0,232,1,1,1 +8572,henry joseph,henry,joseph,2013-09-26,Male,1989-12-18,26,25 - 45,African-American,0,5,0,0,2,-26,2013-08-31 05:25:20,2013-09-02 08:15:01,11024059MM10A,2011-10-27,,700,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-26,Risk of Violence,5,Medium,2013-09-26,2013-08-31,2013-09-02,2,0,918,0,0,0 +8574,margery grindstaff,margery,grindstaff,2014-03-18,Female,1973-05-26,42,25 - 45,Caucasian,0,2,0,0,0,-1,2014-03-17 10:13:17,2014-03-18 01:20:01,14010520MU10A,2014-03-17,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-18,Risk of Violence,1,Low,2014-03-18,2014-03-17,2014-03-18,0,0,745,0,0,0 +8575,ryan lennox,ryan,lennox,2014-03-06,Male,1982-03-13,34,25 - 45,African-American,0,2,0,0,1,-1,2014-03-05 08:17:11,2014-03-07 11:03:13,14003797MM10A,2014-03-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-06,Risk of Violence,2,Low,2014-03-06,2014-03-05,2014-03-07,1,1,757,0,0,0 +8577,eveline rosenberg,eveline,rosenberg,2013-02-04,Female,1946-09-04,69,Greater than 45,Caucasian,0,1,0,0,2,0,2013-02-04 05:06:23,2013-02-04 12:44:20,13002543MM10A,2013-02-04,,0,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-04,Risk of Violence,1,Low,2013-02-04,2013-02-04,2013-02-04,2,0,1152,0,0,0 +8578,frank fasano,frank,fasano,2013-12-11,Male,1992-02-06,24,Less than 25,Caucasian,0,5,0,1,5,-22,2013-11-19 12:51:43,2013-11-25 10:05:19,13010875CF10A,,2013-11-19,22,F,arrest case no charge,1,15009389MM10A,(M1),0,2015-09-04,Battery,2015-09-04,2015-09-05,,1,15009389MM10A,(M1),2015-09-04,Battery,Risk of Recidivism,5,Medium,2013-12-11,Risk of Violence,6,Medium,2013-12-11,2015-09-04,2015-09-05,5,0,632,1,1,1 +8579,steven henry,steven,henry,2013-02-24,Male,1971-02-15,45,Greater than 45,African-American,0,1,0,0,1,-1,2013-02-23 07:57:28,2013-02-24 06:47:57,13003778MM10A,2013-02-23,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-24,Risk of Violence,3,Low,2013-02-24,2013-02-23,2013-02-24,1,0,1132,0,0,0 +8580,robert ellis,robert,ellis,2013-05-23,Male,1987-09-14,28,25 - 45,African-American,0,9,0,0,3,264,2014-02-11 12:42:55,2014-04-29 05:19:39,13001013MM20A,2013-04-04,,49,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-23,Risk of Violence,7,Medium,2013-05-23,2014-02-11,2014-04-29,3,0,264,0,0,0 +8586,sabrina khan,sabrina,khan,2014-02-20,Male,1964-03-25,52,Greater than 45,African-American,0,1,0,0,2,-1,2014-02-19 05:45:59,2014-03-02 01:23:10,14006513MU10A,2014-02-19,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-20,Risk of Violence,1,Low,2014-02-20,2014-03-20,2014-04-08,2,10,28,0,0,0 +8589,uberne gonzalez,uberne,gonzalez,2014-03-03,Male,1986-01-16,30,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-02 12:10:27,2014-03-03 01:31:13,14002940CF10A,2014-03-02,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-03,Risk of Violence,2,Low,2014-03-03,2014-03-02,2014-03-03,0,0,760,0,0,0 +8590,ariane rozo,ariane,rozo,2014-03-24,Female,1989-10-12,26,25 - 45,Hispanic,0,3,0,0,0,0,2014-03-24 02:58:23,2014-03-24 08:45:46,14005079MM10A,2014-03-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-24,Risk of Violence,3,Low,2014-03-24,2014-03-24,2014-03-24,0,0,739,0,0,0 +8594,brian genhold,brian,genhold,2013-12-10,Male,1984-02-09,32,25 - 45,Caucasian,0,7,1,0,5,145,2014-05-04 12:07:22,2014-06-10 10:31:22,12010779CF10A,,2013-10-21,50,F,arrest case no charge,1,14007372MM10A,(M1),0,2014-05-04,Battery,2014-05-04,2014-06-10,,1,14007372MM10A,(M1),2014-05-04,Battery,Risk of Recidivism,7,Medium,2013-12-10,Risk of Violence,2,Low,2013-12-10,2014-05-04,2014-06-10,5,0,145,1,1,1 +8595,randy jarnagin,randy,jarnagin,2013-12-11,Male,1968-07-26,47,Greater than 45,Caucasian,0,4,0,0,11,-104,2013-08-29 03:57:46,2013-11-27 02:11:58,13012219CF10A,2013-08-29,,104,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-11,Risk of Violence,3,Low,2013-12-11,2014-03-27,2014-05-22,11,0,106,0,0,0 +8597,terrance anderson,terrance,anderson,2013-03-14,Male,1983-07-28,32,25 - 45,African-American,0,10,0,0,2,-58,2013-01-15 12:17:30,2013-02-12 09:57:00,09008167CF10A,,2013-01-15,58,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-14,Risk of Violence,7,Medium,2013-03-14,2013-07-19,2013-10-21,2,0,127,0,0,0 +8600,reynaldo meneses,reynaldo,meneses,2013-10-10,Male,1985-12-14,30,25 - 45,Hispanic,0,1,0,0,0,0,2013-10-10 01:33:46,2013-10-10 08:40:26,13019271MM10A,2013-10-09,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-10,Risk of Violence,1,Low,2013-10-10,2013-10-10,2013-10-10,0,0,904,0,0,0 +8604,nashley adelphon,nashley,adelphon,2013-03-12,Female,1993-10-09,22,Less than 25,African-American,0,6,0,0,0,0,2013-03-12 03:02:14,2013-03-13 08:18:53,13003622CF10A,2013-03-11,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-12,Risk of Violence,7,Medium,2013-03-12,2013-03-12,2013-03-13,0,1,1116,0,0,0 +8605,travoy flores,travoy,flores,2013-10-15,Male,1980-07-09,35,25 - 45,African-American,0,3,0,0,6,-1,2013-10-14 07:50:41,2013-10-15 01:24:28,13008071CF10A,,2013-10-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-15,Risk of Violence,3,Low,2013-10-15,2013-10-14,2013-10-15,6,0,899,0,0,0 +8608,shawn williams,shawn,williams,2013-04-03,Male,1980-09-25,35,25 - 45,African-American,0,6,0,0,1,-1,2013-04-02 05:26:56,2013-06-05 09:30:05,13006367MM10A,2013-04-02,,1,M,Battery,1,15009310CF10A,(F3),0,2015-06-16,Felony Battery,2015-06-16,2015-09-21,,1,15009310CF10A,(F3),2015-06-16,Felony Battery,Risk of Recidivism,6,Medium,2013-04-03,Risk of Violence,5,Medium,2013-04-03,2015-06-16,2015-09-21,1,63,804,1,0,0 +8609,keenan holden,keenan,holden,2013-02-23,Male,1990-12-01,25,25 - 45,African-American,0,6,0,0,2,-1,2013-02-22 09:54:24,2013-02-23 08:54:17,13002763CF10A,2013-02-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-23,Risk of Violence,4,Low,2013-02-23,2013-02-22,2013-02-23,2,0,1133,0,0,0 +8610,william forester,william,forester,2013-07-29,Male,1957-09-14,58,Greater than 45,Caucasian,0,2,0,0,3,-4,2013-07-25 12:57:53,2013-07-25 09:15:58,12003284MO40A,2012-06-29,,395,M,Carry Open/Uncov Bev In Pub,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-25,2013-07-25,3,0,977,0,0,0 +8613,anthony gonzalez,anthony,gonzalez,2013-04-10,Male,1982-08-26,33,25 - 45,Caucasian,0,2,0,0,2,-23,2013-03-18 04:53:59,2013-03-18 06:31:57,13005336MM10A,2013-03-18,,23,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-10,Risk of Violence,2,Low,2013-04-10,2013-03-18,2013-03-18,2,0,1087,0,0,0 +8616,karl ehlen,karl,ehlen,2013-04-08,Male,1972-04-06,44,25 - 45,Caucasian,0,3,0,0,4,-1,2013-04-07 07:17:55,2013-04-08 07:34:18,13005022CF10A,2013-04-07,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-08,Risk of Violence,4,Low,2013-04-08,2013-04-07,2013-04-08,4,0,1089,0,0,0 +8617,cato delay,cato,delay,2013-11-12,Male,1985-09-17,30,25 - 45,African-American,0,5,0,0,3,-1,2013-11-11 06:16:38,2013-11-13 09:55:31,13015685CF10A,2013-11-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-12,Risk of Violence,3,Low,2013-11-12,2013-11-11,2013-11-13,3,1,871,0,0,0 +8618,carmen ortiz,carmen,ortiz,2014-01-04,Female,1976-04-20,39,25 - 45,Hispanic,0,2,0,0,2,0,2014-01-04 09:26:15,2014-01-11 04:40:09,10011278CF10A,,2014-01-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-04,Risk of Violence,1,Low,2014-01-04,2014-01-04,2014-01-11,2,7,818,0,0,0 +8619,michael accetta,michael,accetta,2013-03-30,Male,1988-03-17,28,25 - 45,Caucasian,0,3,0,0,0,-1,2013-03-29 11:03:56,2013-03-30 08:06:57,13004543CF10A,2013-03-29,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,2,Low,2013-03-30,2013-03-29,2013-03-30,0,0,1098,0,0,0 +8621,ricardo philibert,ricardo,philibert,2013-09-21,Male,1981-07-22,34,25 - 45,African-American,0,2,0,0,1,-1,2013-09-20 07:19:58,2013-09-21 08:53:51,13013281CF10A,2013-09-20,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-21,Risk of Violence,2,Low,2013-09-21,2013-09-20,2013-09-21,1,0,923,0,0,0 +8622,dwayne schneider,dwayne,schneider,2014-08-29,Male,1989-04-27,26,25 - 45,African-American,0,8,0,0,1,-30,2014-07-30 01:18:15,2014-08-03 10:39:29,13016474CF10A,,2014-07-30,30,F,arrest case no charge,1,14015982CF10A,(F3),0,2014-11-30,Possession of Ethylone,2014-11-30,2015-01-30,,1,15016426CF10A,(F2),2015-12-14,Robbery / No Weapon,Risk of Recidivism,8,High,2014-08-29,Risk of Violence,5,Medium,2014-08-29,2014-10-23,2014-10-31,1,0,55,0,1,1 +8625,ricky lipsey,ricky,lipsey,2014-03-15,Male,1993-02-15,23,Less than 25,African-American,0,2,0,0,0,-1,2014-03-14 01:21:01,2014-03-16 03:52:46,14003626CF10A,2014-03-14,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-15,Risk of Violence,3,Low,2014-03-15,2014-03-14,2014-03-16,0,1,748,0,0,0 +8627,bryon williams,bryon,williams,2013-12-22,Male,1984-08-11,31,25 - 45,African-American,0,4,0,0,0,-1,2013-12-21 10:04:52,2013-12-22 01:15:23,13023542MM10A,2013-12-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-22,Risk of Violence,4,Low,2013-12-22,2013-12-21,2013-12-22,0,0,831,0,0,0 +8629,westgard buting,westgard,buting,2013-09-30,Male,1977-09-06,38,25 - 45,Other,0,1,0,0,1,-1,2013-09-29 09:18:50,2013-09-30 08:38:57,13012760CF10A,,2013-09-29,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,1,0,914,0,0,0 +8634,brian bradley,brian,bradley,2013-09-30,Male,1971-05-11,44,25 - 45,African-American,0,1,0,0,0,-1,2013-09-29 07:10:37,2013-09-30 08:52:46,13013664CF10A,2013-09-29,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,1,Low,2013-09-30,2013-09-29,2013-09-30,0,0,914,0,0,0 +8635,clive brown,clive,brown,2013-12-30,Male,1963-06-19,52,Greater than 45,African-American,0,1,0,0,0,0,2013-12-30 05:17:53,2013-12-31 07:54:52,13017973CF10A,2013-12-30,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-30,Risk of Violence,1,Low,2013-12-30,2013-12-30,2013-12-31,0,1,823,0,0,0 +8638,mark fletcher,mark,fletcher,2013-08-15,Male,1984-08-02,31,25 - 45,African-American,0,8,0,0,9,0,2013-08-15 04:24:41,2013-08-16 03:24:28,13011466CF10A,2013-08-15,,0,F,Aggravated Battery / Pregnant,1,13022368MM10A,(M1),0,2013-12-01,Resist/Obstruct W/O Violence,2013-12-01,2013-12-02,,1,14011020MM10A,(M1),2014-07-18,Battery,Risk of Recidivism,8,High,2013-08-15,Risk of Violence,6,Medium,2013-08-15,2013-12-01,2013-12-02,9,1,108,1,1,1 +8639,alexis parker,alexis,parker,2013-04-24,Female,1995-01-18,21,Less than 25,African-American,0,6,1,0,2,-12,2013-04-12 02:01:58,2013-04-24 10:40:53,13005322CF10A,2013-04-12,,12,F,Deliver Cannabis,1,15059734TC30A,(M2),,2015-08-31,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-24,Risk of Violence,7,Medium,2013-04-24,2013-04-12,2013-04-24,2,0,859,1,0,0 +8641,lalo munoz,lalo,munoz,2013-08-19,Male,1938-10-11,77,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-08-18 02:09:06,2013-08-21 08:28:16,13015622MM10A,2013-08-17,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-21,1,2,956,0,0,0 +8642,vincent defazio,vincent,defazio,2013-10-18,Male,1955-01-12,61,Greater than 45,Caucasian,0,6,0,0,4,-1,2013-10-17 04:38:42,2014-02-13 04:11:09,13014549CF10A,2013-10-17,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-18,Risk of Violence,5,Medium,2013-10-18,2013-10-17,2014-02-13,4,118,896,0,0,0 +8644,yolanda hoff,yolanda,hoff,2013-11-22,Female,1974-10-01,41,25 - 45,African-American,0,1,0,0,0,-1,2013-11-21 10:10:58,2013-11-22 09:18:22,13021928MM10A,2013-11-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-22,Risk of Violence,1,Low,2013-11-22,2013-11-21,2013-11-22,0,0,861,0,0,0 +8646,nicole shaver,nicole,shaver,2013-11-21,Female,1991-10-09,24,Less than 25,Caucasian,0,5,0,0,0,-1,2013-11-20 06:49:02,2013-11-21 07:48:03,13021845MM10A,2013-11-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-21,Risk of Violence,4,Low,2013-11-21,2013-11-20,2013-11-21,0,0,862,0,0,0 +8647,natalie dixon,natalie,dixon,2013-04-17,Female,1981-11-07,34,25 - 45,African-American,0,3,0,0,5,-1,2013-04-16 01:11:17,2013-04-17 05:45:35,13001202CF10A,,2013-04-16,1,F,arrest case no charge,1,15007079CF10A,(F3),0,2015-05-30,Grand Theft in the 3rd Degree,2015-05-30,2015-05-31,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,3,Low,2013-04-17,2013-12-29,2013-12-30,5,0,256,0,0,0 +8650,javier falcon,javier,falcon,2013-02-06,Male,1988-06-12,27,25 - 45,Hispanic,0,3,0,0,1,0,2013-02-06 03:25:28,2013-02-07 03:05:17,13001843CF10A,2013-02-05,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-06,Risk of Violence,3,Low,2013-02-06,2013-10-23,2013-10-24,1,1,259,0,0,0 +8652,cedric hynes,cedric,hynes,2013-03-05,Male,1985-05-04,30,25 - 45,African-American,0,1,0,0,1,-1,2013-03-04 08:57:46,2013-03-05 06:41:10,13003255CF10A,2013-03-04,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-05,Risk of Violence,2,Low,2013-03-05,2013-03-04,2013-03-05,1,0,1123,0,0,0 +8653,fernando velazquezhernandez,fernando,velazquezhernandez,2013-02-19,Male,1956-05-30,59,Greater than 45,Hispanic,0,1,0,0,0,-4,2013-02-15 11:55:20,2013-02-17 02:16:14,13002383CF10A,2013-02-15,,4,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-19,Risk of Violence,1,Low,2013-02-19,2013-02-15,2013-02-17,0,0,1137,0,0,0 +8655,janet mccarthy,janet,mccarthy,2013-11-08,Male,1960-08-19,55,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-11-07 06:14:28,2013-11-08 09:33:29,13015543CF10A,2013-11-07,,1,F,Grand Theft in the 3rd Degree,1,15003176CF10A,(F3),0,2015-03-09,Battery on Law Enforc Officer,2015-03-09,2015-04-16,,1,15003176CF10A,(F3),2015-03-09,Battery on Law Enforc Officer,Risk of Recidivism,1,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2015-03-09,2015-04-16,1,0,486,1,1,1 +8656,tylicia walker,tylicia,walker,2013-09-03,Female,1993-06-20,22,Less than 25,African-American,0,6,1,0,1,294,2014-06-24 11:36:20,2014-07-25 05:43:00,09017749TC40A,2009-01-24,,1683,M,Reckless Driving,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-03,Risk of Violence,6,Medium,2013-09-03,2014-06-24,2014-07-25,1,0,294,0,0,0 +8659,fredrick hough,fredrick,hough,2013-05-27,Male,1962-10-11,53,Greater than 45,African-American,0,2,0,0,5,0,2013-05-27 04:31:38,2013-05-29 04:34:47,13010134MM10A,2013-05-27,,0,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2014-03-12,2014-03-14,5,2,289,0,0,0 +8661,allan cross,allan,cross,2013-01-21,Male,1966-02-13,50,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-01-20 11:08:11,2013-01-21 01:27:06,13001373MM10A,2013-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-21,Risk of Violence,2,Low,2013-01-21,2013-01-20,2013-01-21,1,0,1166,0,0,0 +8664,michael diaz,michael,diaz,2013-12-31,Male,1995-02-07,21,Less than 25,Hispanic,0,5,0,1,2,-1,2013-12-30 09:08:22,2013-12-31 10:47:09,13017980CF10A,2013-12-30,,1,F,Poss Similitude of Drivers Lic,1,14008723MM10A,(M1),0,2014-06-01,Unlaw Use False Name/Identity,2014-06-01,2014-06-01,,1,14008723MM10A,(M1),2014-06-01,Battery,Risk of Recidivism,5,Medium,2013-12-31,Risk of Violence,5,Medium,2013-12-31,2014-03-11,2014-03-13,2,0,70,0,1,1 +8668,gina benzing,gina,benzing,2013-12-17,Female,1990-06-21,25,25 - 45,Caucasian,0,3,0,0,0,-1,2013-12-16 06:31:26,2013-12-18 05:45:00,13023316MM10A,2013-12-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-17,Risk of Violence,3,Low,2013-12-17,2013-12-16,2013-12-18,0,1,836,0,0,0 +8670,brigitte moyer,brigitte,moyer,2013-04-24,Female,1985-03-10,31,25 - 45,Caucasian,0,6,0,0,2,0,2013-04-24 02:55:38,2013-08-19 05:41:56,13007958MM10A,2013-04-23,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-24,Risk of Violence,3,Low,2013-04-24,2013-04-24,2013-08-19,2,117,1073,0,0,0 +8672,jessica brown,jessica,brown,2013-09-07,Female,1989-05-24,26,25 - 45,African-American,0,5,0,0,1,-1,2013-09-06 07:37:43,2013-09-08 01:45:38,13012603CF10A,2013-09-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-07,Risk of Violence,4,Low,2013-09-07,2015-01-09,2015-01-24,1,1,489,0,0,0 +8673,jeffrey hopkins,jeffrey,hopkins,2013-12-23,Male,1990-11-19,25,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-22 10:13:14,2013-12-23 01:09:21,13023600MM10A,2013-12-22,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-23,Risk of Violence,3,Low,2013-12-23,2013-12-22,2013-12-23,0,0,830,0,0,0 +8674,jamsly georges,jamsly,georges,2013-11-19,Male,1983-06-01,32,25 - 45,African-American,0,1,0,0,0,0,2013-11-19 03:33:41,2013-11-19 08:58:19,13021760MM10A,2013-11-19,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-19,Risk of Violence,1,Low,2013-11-19,2013-11-19,2013-11-19,0,0,864,0,0,0 +8675,israel torres,israel,torres,2013-03-12,Male,1976-01-27,40,25 - 45,Caucasian,0,3,0,0,5,-1,2013-03-11 11:28:31,2013-03-12 01:07:39,13003586CF10A,2013-03-11,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-03-11,2013-03-12,5,0,1116,0,0,0 +8676,guignard lejean,guignard,lejean,2013-04-05,Male,1980-09-30,35,25 - 45,African-American,0,3,0,0,0,-2,2013-04-03 10:17:52,2013-04-04 07:37:40,13004764CF10A,2013-04-03,,2,F,Poss Oxycodone W/Int/Sell/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-05,Risk of Violence,4,Low,2013-04-05,2013-04-03,2013-04-04,0,0,1092,0,0,0 +8679,bassey abia,bassey,abia,2013-10-02,Male,1988-12-12,27,25 - 45,African-American,0,3,0,0,2,-1,2013-10-01 07:19:17,2013-10-05 01:13:34,13013758CF10A,2013-10-01,,1,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-02,Risk of Violence,2,Low,2013-10-02,2013-10-01,2013-10-05,2,3,912,0,0,0 +8682,huy trinh,huy,trinh,2013-01-11,Male,1980-02-19,36,25 - 45,Asian,0,1,0,0,1,-1,2013-01-10 05:47:36,2013-02-20 01:46:27,13000470CF10A,,2013-01-10,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-10,2013-02-20,1,40,1176,0,0,0 +8683,carlos vasquez,carlos,vasquez,2013-03-01,Male,1985-05-16,30,25 - 45,Caucasian,0,2,0,0,2,-22,2013-02-07 02:03:50,2013-02-07 08:53:31,13001943CF10A,2013-02-06,,23,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-01,Risk of Violence,3,Low,2013-03-01,2013-02-07,2013-02-07,2,0,1127,0,0,0 +8684,nasser saleh,nasser,saleh,2013-04-14,Male,1985-08-25,30,25 - 45,African-American,0,4,0,0,0,0,2013-04-14 12:53:38,2013-04-18 09:20:35,13005337CF10A,2013-04-13,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,3,Low,2013-04-14,2015-02-13,2015-02-25,0,4,670,0,0,0 +8685,bradley royes,bradley,royes,2013-04-15,Male,1974-12-26,41,25 - 45,African-American,0,8,0,0,19,0,2013-04-15 11:09:49,2013-11-21 11:14:00,13005134CF10A,,2013-04-15,0,F,arrest case no charge,1,15016078CF10A,(F3),,2015-12-15,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,8,High,2013-04-15,Risk of Violence,2,Low,2013-04-15,2015-09-18,2015-09-19,19,220,886,0,0,0 +8686,francesca rousseau,francesca,rousseau,2013-05-28,Female,1994-04-28,21,Less than 25,Caucasian,0,7,0,0,1,-99,2013-02-18 04:02:37,2013-04-24 07:42:56,13003459MM10A,2013-02-18,,99,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-28,Risk of Violence,6,Medium,2013-05-28,2013-02-18,2013-04-24,1,0,1039,0,0,0 +8688,brandy baca,brandy,baca,2013-03-11,Female,1987-04-09,29,25 - 45,Caucasian,0,7,0,0,0,-3,2013-03-08 03:07:49,2013-03-08 08:40:55,13003466CF10A,2013-03-08,,3,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-11,Risk of Violence,3,Low,2013-03-11,2013-03-08,2013-03-08,0,0,1117,0,0,0 +8691,matthew lewandowski,matthew,lewandowski,2013-03-02,Male,1983-05-06,32,25 - 45,Caucasian,0,2,0,0,1,,,,09022719CF10A,2009-12-15,,1173,M,Poss of Vessel w/Altered ID NO,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-02,Risk of Violence,3,Low,2013-03-02,,,1,0,1126,0,0,0 +8694,thomas duffy,thomas,duffy,2013-10-04,Male,1990-12-27,25,25 - 45,Caucasian,0,5,0,0,0,-1,2013-10-03 12:19:47,2013-10-03 08:07:28,13013853CF10A,2013-10-02,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-04,Risk of Violence,3,Low,2013-10-04,2013-10-03,2013-10-03,0,0,910,0,0,0 +8695,nick maniscalso,nick,maniscalso,2013-03-20,Male,1965-12-28,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-03-19 09:33:06,2013-03-22 05:52:21,13003974CF10A,2013-03-19,,1,F,Possession Child Pornography,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2013-03-19,2013-03-22,0,2,1108,0,0,0 +8696,alexis palen,alexis,palen,2013-08-07,Male,1981-02-02,35,25 - 45,Caucasian,0,2,0,0,4,-1,2013-08-06 08:24:10,2014-01-23 05:55:11,13011090CF10A,,2013-08-07,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,2015-01-14,2015-01-23,4,169,525,0,0,0 +8701,delroy henry,delroy,henry,2014-01-16,Male,1972-07-24,43,25 - 45,African-American,0,1,0,0,4,-26,2013-12-21 12:37:51,2014-01-16 10:14:43,13017717CF10A,,2013-12-21,26,F,arrest case no charge,1,15003041MM10A,(M1),0,2015-03-13,Battery,2015-03-13,2015-03-13,,1,15003041MM10A,(M1),2015-03-13,Battery,Risk of Recidivism,1,Low,2014-01-16,Risk of Violence,2,Low,2014-01-16,2015-03-13,2015-03-13,4,0,421,0,1,1 +8703,anne murray,anne,murray,2013-12-04,Female,1955-02-08,61,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-03 03:18:00,2013-12-04 09:09:14,13016724CF10A,2013-12-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-04,Risk of Violence,1,Low,2013-12-04,2013-12-03,2013-12-04,0,0,849,0,0,0 +8705,isaiah hargrett,isaiah,hargrett,2013-09-15,Female,1993-11-19,22,Less than 25,African-American,0,9,0,0,4,0,2013-09-15 03:07:01,2013-09-17 03:55:23,13013013CF10A,2013-09-14,,1,F,Possession of Cocaine,1,14010778MM10A,(M1),0,2014-07-03,Possess Cannabis/20 Grams Or Less,2014-07-03,2014-07-04,,1,15000808MM10A,(M1),2015-01-02,Battery,Risk of Recidivism,9,High,2013-09-15,Risk of Violence,6,Medium,2013-09-15,2014-07-03,2014-07-04,4,2,291,1,1,1 +8707,wesley st jean,wesley,st jean,2013-04-15,Male,1984-09-28,31,25 - 45,African-American,0,10,0,0,0,,,,,,,,M,,1,16007440TC10A,(M2),,2016-03-03,Driving License Suspended,,,,0,,,,,Risk of Recidivism,10,High,2013-04-15,Risk of Violence,4,Low,2013-04-15,,,0,0,1053,1,0,0 +8708,dalton mcgowan,dalton,mcgowan,2014-02-13,Male,1971-12-20,44,25 - 45,African-American,0,9,0,0,12,,,,10006291CF10A,2010-04-09,,1406,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-13,Risk of Violence,4,Low,2014-02-13,2008-10-16,2009-02-01,12,0,778,0,0,0 +8710,tiara ross,tiara,ross,2013-02-06,Female,1982-03-26,34,25 - 45,African-American,0,2,0,0,1,-21,2013-01-16 10:16:43,2013-02-01 05:50:36,12021226MM10A,2012-10-12,,117,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-06,Risk of Violence,1,Low,2013-02-06,2013-01-16,2013-02-01,1,0,1150,0,0,0 +8711,wen chou,wen,chou,2014-03-22,Male,1991-08-14,24,Less than 25,Other,0,6,0,0,0,-1,2014-03-21 10:17:24,2014-03-22 10:10:59,14004046CF10A,2014-03-21,,1,F,Conspiracy Dealing Stolen Prop,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-22,Risk of Violence,4,Low,2014-03-22,2015-10-08,2015-10-15,0,0,565,0,0,0 +8712,cecelia gitta,cecelia,gitta,2013-09-05,Female,1981-06-11,34,25 - 45,Caucasian,0,6,0,0,1,39,2013-10-14 12:54:46,2013-11-09 05:56:57,13000807CF10A,,2013-05-02,126,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-05,Risk of Violence,2,Low,2013-09-05,2013-10-14,2013-11-09,1,0,39,0,0,0 +8715,jasmine sherrell,jasmine,sherrell,2014-01-02,Female,1995-08-12,20,Less than 25,African-American,0,7,0,1,0,-1,2014-01-01 07:41:04,2014-01-02 08:43:28,14000049MM10A,2014-01-01,,1,M,Battery,1,14008977MM10A,(M1),0,2014-06-05,Viol Pretrial Release Dom Viol,2014-06-05,2014-06-11,,1,14008977MM10A,(M1),2014-06-05,Battery,Risk of Recidivism,7,Medium,2014-01-02,Risk of Violence,8,High,2014-01-02,2014-06-05,2014-06-11,0,0,154,1,1,1 +8716,raoul emile,raoul,emile,2014-03-31,Male,1986-01-20,30,25 - 45,African-American,0,1,0,0,0,-1,2014-03-30 05:12:07,2014-03-31 01:48:57,14005464MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,2,Low,2014-03-31,2014-03-30,2014-03-31,0,0,732,0,0,0 +8717,louveni bell,louveni,bell,2013-05-14,Female,1972-10-15,43,25 - 45,African-American,0,1,0,0,0,-1,2013-05-13 11:41:46,2013-05-14 11:59:00,13009245MM10A,2013-05-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-05-13,2013-05-14,0,0,1053,0,0,0 +8723,tommy ortiz,tommy,ortiz,2013-02-07,Male,1979-01-20,37,25 - 45,Hispanic,0,5,0,0,9,-1,2013-02-06 02:39:48,2013-02-08 06:25:56,13001959CF10A,2013-02-06,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-07,Risk of Violence,3,Low,2013-02-07,2013-11-04,2014-04-30,9,1,270,0,0,0 +8726,raisha orellano-barrios,raisha,orellano-barrios,2013-02-23,Female,1987-02-04,29,25 - 45,Hispanic,0,4,0,0,1,-1,2013-02-22 02:14:29,2013-02-23 08:11:06,13002752CF10A,,2013-02-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-23,Risk of Violence,3,Low,2013-02-23,2013-02-22,2013-02-23,1,0,1133,0,0,0 +8727,scott stoner,scott,stoner,2013-08-08,Male,1971-08-06,44,25 - 45,Caucasian,0,1,0,0,4,,,,12018423CF10A,2012-12-17,,234,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-08,Risk of Violence,1,Low,2013-08-08,1996-10-17,1999-05-30,4,0,967,0,0,0 +8728,rose rodriguez,rose,rodriguez,2013-03-25,Female,1992-01-24,24,Less than 25,Caucasian,0,6,0,0,0,0,2013-03-25 01:31:41,2013-03-25 08:43:30,13005836MM10A,2013-03-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-25,Risk of Violence,5,Medium,2013-03-25,2013-03-25,2013-03-25,0,0,1103,0,0,0 +8729,michael lorenz,michael,lorenz,2014-03-26,Male,1980-01-28,36,25 - 45,Caucasian,0,1,0,0,12,-26,2014-02-28 03:37:21,2014-03-13 10:56:28,14002711CF10A,,2014-02-28,26,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,2,Low,2014-03-26,2014-02-28,2014-03-13,12,0,737,0,0,0 +8731,gregory lugo,gregory,lugo,2014-10-28,Male,1977-01-13,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-10-27 09:19:54,2014-10-30 04:23:55,14016036CF10A,2014-10-27,,1,F,Felony DUI - Enhanced,1,14015745MM10A,(M1),0,2014-10-30,Battery,2014-10-30,2014-11-08,,1,14015745MM10A,(M1),2014-10-30,Battery,Risk of Recidivism,1,Low,2014-10-28,Risk of Violence,1,Low,2014-10-28,2014-10-30,2014-11-08,0,2,2,1,1,1 +8732,eddie fluker,eddie,fluker,2013-11-20,Male,1983-12-22,32,25 - 45,African-American,0,5,0,0,2,-1,2013-11-19 01:53:21,2013-11-20 08:27:44,13021770MM10A,2013-11-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-20,Risk of Violence,4,Low,2013-11-20,2014-01-30,2014-01-31,2,0,71,0,0,0 +8733,ricardo hylton,ricardo,hylton,2013-09-10,Male,1986-02-18,30,25 - 45,African-American,0,2,0,0,1,-82,2013-06-20 01:20:20,2013-06-21 09:31:10,13008672CF10A,2013-06-19,,83,F,Aggravated Battery (Firearm),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-10,Risk of Violence,2,Low,2013-09-10,2013-06-20,2013-06-21,1,0,934,0,0,0 +8735,donovan aman,donovan,aman,2013-02-09,Male,1977-11-14,38,25 - 45,African-American,0,1,0,0,0,0,2013-02-09 12:08:28,2013-02-09 01:28:57,13002892MM10A,2013-02-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-09,Risk of Violence,1,Low,2013-02-09,2013-02-09,2013-02-09,0,0,1147,0,0,0 +8737,nicole jackson,nicole,jackson,2013-04-04,Female,1988-11-07,27,25 - 45,African-American,0,6,0,0,8,-23,2013-03-12 10:28:38,2013-03-15 11:32:22,13003543CF10A,,2013-03-12,23,F,arrest case no charge,1,15002305MM40A,(M1),,2015-06-02,Resist/Obstruct W/O Violence,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,4,Low,2013-04-04,2013-10-24,2013-11-06,8,0,203,0,0,0 +8739,dennis laravalasquez,dennis,laravalasquez,2013-09-12,Male,1991-05-19,24,Less than 25,Caucasian,0,3,0,0,2,,,,10004575MM10A,,2010-04-12,1249,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-12,Risk of Violence,4,Low,2013-09-12,,,2,0,932,0,0,0 +8743,timothy kendrick,timothy,kendrick,2013-01-23,Male,1986-01-22,30,25 - 45,African-American,6,9,0,0,8,-1,2013-01-22 06:49:44,2013-01-23 01:35:06,13001521MM10A,2013-01-22,,1,M,Battery,1,13007930CF10A,(F3),0,2013-06-04,Grand Theft in the 3rd Degree,2013-06-04,2013-06-05,,1,14004515CF10A,(M1),2014-01-06,Battery,Risk of Recidivism,9,High,2013-01-23,Risk of Violence,8,High,2013-01-23,2013-06-04,2013-06-05,8,0,132,1,1,1 +8745,jessica lee,jessica,lee,2013-06-03,Female,1989-06-18,26,25 - 45,Caucasian,0,4,0,0,1,-2,2013-06-01 08:03:30,2013-06-02 01:57:09,13010505MM10A,2013-06-01,,2,M,Assault,1,15008940CF10A,(F3),0,2015-07-11,Poss Pyrrolidinovalerophenone,2015-07-11,2015-07-13,,0,,,,,Risk of Recidivism,4,Low,2013-06-03,Risk of Violence,3,Low,2013-06-03,2015-07-11,2015-07-13,1,0,768,1,0,0 +8746,reynaldo rodriguez,reynaldo,rodriguez,2014-01-04,Male,1978-09-11,37,25 - 45,Caucasian,0,4,0,0,3,-1,2014-01-03 11:40:02,2014-02-11 10:50:00,14000144CF10A,2014-01-03,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-04,Risk of Violence,2,Low,2014-01-04,2015-01-05,2015-01-09,3,38,366,0,0,0 +8750,joseph dejesus,joseph,dejesus,2013-07-01,Male,1978-09-17,37,25 - 45,Hispanic,0,6,0,0,9,-52,2013-05-10 10:37:45,2013-06-28 04:09:09,13007020CF10A,,2013-05-15,47,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-01,Risk of Violence,7,Medium,2013-07-01,2013-09-05,2013-09-19,9,0,66,0,0,0 +8752,cody carlson,cody,carlson,2013-05-28,Male,1986-10-25,29,25 - 45,Caucasian,0,1,0,0,1,-1,2013-05-27 09:11:34,2013-05-28 01:48:44,13007560CF10A,2013-05-27,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-27,2013-05-28,1,0,1039,0,0,0 +8754,matthew watkins,matthew,watkins,2013-01-15,Male,1983-12-11,32,25 - 45,Caucasian,0,5,0,0,3,-1,2013-01-14 11:55:12,2013-05-15 11:06:59,10015383CF10A,,2013-01-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-15,Risk of Violence,2,Low,2013-01-15,2014-01-24,2014-02-20,3,120,374,0,0,0 +8756,steven ferguson,steven,ferguson,2014-09-29,Male,1994-12-17,21,Less than 25,African-American,0,9,2,6,8,30,2014-10-29 07:19:44,2015-06-30 07:07:00,13016650CF10A,,2014-02-07,234,F,arrest case no charge,1,14015552CF10A,(F3),,2014-10-01,Crim Use of Personal ID Info,,,,1,14014510CF10A,(F2),2014-10-29,Agg Fleeing/Eluding High Speed,Risk of Recidivism,9,High,2014-09-29,Risk of Violence,5,Medium,2014-09-29,2015-06-30,2020-01-01,8,0,2,1,1,1 +8757,dillon degiovanni,dillon,degiovanni,2013-03-12,Male,1994-09-14,21,Less than 25,Caucasian,0,3,0,0,1,-1,2013-03-11 06:25:15,2013-03-12 12:35:34,13003594CF10A,2013-03-11,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-12,Risk of Violence,6,Medium,2013-03-12,2013-03-11,2013-03-12,1,0,1116,0,0,0 +8758,brian wilson,brian,wilson,2013-04-14,Male,1969-01-03,47,Greater than 45,Caucasian,0,4,0,0,13,0,2013-04-14 03:00:30,2013-06-19 06:52:42,13007194MM10A,2013-04-14,,0,M,Battery,1,13017495MM10A,(M1),0,2013-09-13,Battery,2013-09-13,2013-12-03,,1,13017495MM10A,(M1),2013-09-13,Battery,Risk of Recidivism,4,Low,2013-04-14,Risk of Violence,3,Low,2013-04-14,2013-09-13,2013-12-03,13,66,152,1,1,1 +8759,fatima johnson,fatima,johnson,2014-02-13,Female,1979-04-29,36,25 - 45,African-American,0,2,0,0,4,-13,2014-01-31 07:43:56,2014-02-01 01:57:00,14001411CF10A,,2014-01-31,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-13,Risk of Violence,1,Low,2014-02-13,2015-10-05,2015-10-05,4,0,599,0,0,0 +8761,ramsey sari,ramsey,sari,2014-04-17,Male,1983-11-11,32,25 - 45,Caucasian,0,2,0,0,4,0,2014-04-17 03:02:35,2014-04-18 04:10:58,14006525MM10A,2014-04-17,,0,M,Battery,1,14010971MM10A,(M1),0,2014-07-17,Viol Injunct Domestic Violence,2014-07-17,2014-08-12,,1,14013821CF10A,(F3),2014-09-19,Felony Battery w/Prior Convict,Risk of Recidivism,2,Low,2014-04-17,Risk of Violence,3,Low,2014-04-17,2014-07-17,2014-08-12,4,1,91,1,1,1 +8762,shannon gopher,shannon,gopher,2013-01-25,Male,1972-08-15,43,25 - 45,Caucasian,0,1,0,0,1,-1,2013-01-24 06:36:58,2013-01-25 07:32:50,13001196CF10A,2013-01-24,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-25,Risk of Violence,1,Low,2013-01-25,2013-01-24,2013-01-25,1,0,1162,0,0,0 +8764,steven carey,steven,carey,2013-04-04,Male,1989-01-09,27,25 - 45,African-American,0,6,0,0,2,-1,2013-04-03 04:58:59,2013-08-13 04:48:18,13004785CF10A,2013-04-03,,1,F,Sale/Del Cannabis At/Near Scho,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,3,Low,2013-04-04,2013-04-03,2013-08-13,2,131,1093,0,0,0 +8766,william winkelmann,william,winkelmann,2013-04-24,Male,1953-12-15,62,Greater than 45,Caucasian,0,-1,0,0,2,-20,2013-04-04 09:26:01,2013-04-05 01:42:17,13004849CF10A,2013-04-04,,20,F,Obtain Control Substance By Fraud,0,,,,,,,,,0,,,,,Risk of Recidivism,-1,N/A,2013-04-24,Risk of Violence,1,Low,2013-04-24,2013-04-04,2013-04-05,2,0,1073,0,0,0 +8768,al durrant,al,durrant,2013-09-12,Male,1994-10-08,21,Less than 25,African-American,0,3,0,0,1,-22,2013-08-21 02:03:31,2013-09-12 11:18:07,13010303CF10A,,2013-08-21,22,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-12,Risk of Violence,5,Medium,2013-09-12,2013-08-21,2013-09-12,1,0,932,0,0,0 +8770,kolson chu,kolson,chu,2013-12-16,Male,1982-03-03,34,25 - 45,Asian,0,2,0,0,0,-1,2013-12-15 08:07:23,2013-12-16 08:32:54,13023224MM10A,2013-12-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-16,Risk of Violence,1,Low,2013-12-16,2013-12-15,2013-12-16,0,0,837,0,0,0 +8771,ignacio choreno,ignacio,choreno,2014-01-27,Male,1970-02-02,46,Greater than 45,Hispanic,0,1,0,0,1,-2,2014-01-25 04:52:02,2014-01-26 01:43:13,14002844MU10A,2014-01-25,,2,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-25,2014-01-26,1,0,795,0,0,0 +8773,james scott,james,scott,2013-09-12,Male,1975-09-24,40,25 - 45,African-American,2,6,0,0,23,30,2013-10-12 10:22:16,2013-11-13 08:08:17,13014095MM10A,2013-07-20,,54,M,Possess Cannabis/20 Grams Or Less,1,13014303CF10A,(F2),0,2013-10-12,Aggravated Battery / Pregnant,2013-10-12,2013-11-13,,1,13014303CF10A,(F3),2013-10-12,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2013-09-12,Risk of Violence,8,High,2013-09-12,2013-10-12,2013-11-13,23,0,30,1,1,1 +8774,jeremy miller,jeremy,miller,2013-12-15,Male,1977-06-09,38,25 - 45,Caucasian,0,3,0,0,3,0,2013-12-15 01:27:41,2013-12-16 08:33:43,13023210MM10A,2013-12-14,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-15,2013-12-16,3,1,838,0,0,0 +8775,jermaine west,jermaine,west,2013-03-27,Male,1975-01-17,41,25 - 45,African-American,0,9,0,0,7,-1,2013-03-26 04:40:53,2013-05-23 06:25:48,11020159CF10A,,2013-03-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-27,Risk of Violence,4,Low,2013-03-27,2013-03-26,2013-05-23,7,57,1101,0,0,0 +8777,jake scott,jake,scott,2013-12-19,Male,1995-01-29,21,Less than 25,Caucasian,0,4,0,0,1,-11,2013-12-08 09:52:02,2013-12-19 10:29:04,13016966CF10A,2013-12-08,,11,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-19,Risk of Violence,7,Medium,2013-12-19,2013-12-08,2013-12-19,1,0,834,0,0,0 +8778,eileen dunn,eileen,dunn,2013-11-15,Female,1941-08-07,74,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-14 03:06:45,2013-11-14 07:37:54,13021485MM10A,2013-11-14,,1,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-15,Risk of Violence,1,Low,2013-11-15,2013-11-14,2013-11-14,0,0,868,0,0,0 +8785,lisbet martinez,lisbet,martinez,2013-01-24,Female,1988-10-07,27,25 - 45,Hispanic,0,3,0,0,0,0,2013-01-24 01:34:36,2013-01-24 06:22:19,13001701MM10A,2013-01-23,,1,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-24,Risk of Violence,3,Low,2013-01-24,2013-01-24,2013-01-24,0,0,1163,0,0,0 +8786,judge lucas,judge,lucas,2014-01-23,Male,1985-05-29,30,25 - 45,African-American,0,2,1,0,1,-1,2014-01-22 11:51:48,2014-01-24 08:52:16,14000990CF10A,2014-01-22,,1,M,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-22,2014-01-24,1,1,799,0,0,0 +8787,joy kidd,joy,kidd,2013-05-18,Female,1983-01-31,33,25 - 45,Caucasian,0,6,0,0,3,-2,2013-05-16 09:22:15,2013-05-18 06:56:41,13007091CF10A,2013-05-16,,2,F,Possession Of Heroin,1,14015283CF10A,(F3),,2014-02-08,D.U.I. Serious Bodily Injury,,,,1,14015283CF10A,(F3),2014-02-08,D.U.I. Serious Bodily Injury,Risk of Recidivism,6,Medium,2013-05-18,Risk of Violence,2,Low,2013-05-18,2013-05-16,2013-05-18,3,0,266,1,1,1 +8789,alim rahman,alim,rahman,2014-03-27,Male,1991-11-01,24,Less than 25,Caucasian,0,2,0,0,2,0,2014-03-27 03:28:49,2014-03-27 08:33:05,14012123MU10A,2014-03-27,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-27,Risk of Violence,3,Low,2014-03-27,2014-03-27,2014-03-27,2,0,736,0,0,0 +8790,kiet ho,kiet,ho,2013-11-14,Male,1963-11-12,52,Greater than 45,Asian,0,1,0,0,0,-1,2013-11-13 12:48:26,2013-11-14 08:11:15,13015770CF10A,2013-11-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-13,2013-11-14,0,0,869,0,0,0 +8791,vicki stokes,vicki,stokes,2013-04-04,Female,1987-03-16,29,25 - 45,Caucasian,0,6,0,0,0,-1,2013-04-03 12:21:25,2013-04-03 01:03:48,13006353MM10A,2013-04-02,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,3,Low,2013-04-04,2013-04-03,2013-04-03,0,0,1093,0,0,0 +8794,idalia gonzalez,idalia,gonzalez,2013-03-31,Female,1985-12-29,30,25 - 45,Caucasian,0,2,0,1,1,0,2013-03-31 04:29:09,2013-03-31 07:30:43,13004626CF10A,2013-03-31,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-31,Risk of Violence,2,Low,2013-03-31,2013-03-31,2013-03-31,1,0,1097,0,0,0 +8797,aubrey perry,aubrey,perry,2013-08-07,Male,1982-05-01,33,25 - 45,African-American,0,5,0,0,0,-1,2013-08-06 05:28:37,2013-09-20 05:39:05,13011034CF10A,2013-08-06,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-07,Risk of Violence,4,Low,2013-08-07,2013-08-06,2013-09-20,0,44,968,0,0,0 +8798,ailton campos,ailton,campos,2013-12-21,Male,1978-04-17,38,25 - 45,Hispanic,0,1,0,0,1,-1,2013-12-20 07:46:00,2013-12-24 12:11:14,13017573CF10A,2013-12-20,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-21,Risk of Violence,1,Low,2013-12-21,2013-12-20,2013-12-24,1,3,832,0,0,0 +8802,shawanna kelly,shawanna,kelly,2013-02-17,Female,1988-03-27,28,25 - 45,African-American,0,8,0,0,5,-1,2013-02-16 04:25:52,2013-02-18 04:28:02,12009386MM10A,,2013-02-16,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-17,Risk of Violence,7,Medium,2013-02-17,2013-02-16,2013-02-18,5,1,1139,0,0,0 +8803,lazaro ruiz,lazaro,ruiz,2013-03-06,Male,1987-12-05,28,25 - 45,Hispanic,0,8,0,0,3,,,,08005705CF10A,,2009-06-10,1365,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-06,Risk of Violence,7,Medium,2013-03-06,2015-07-24,2020-01-01,3,0,870,0,0,0 +8805,lisa orange,lisa,orange,2014-01-13,Female,1963-08-03,52,Greater than 45,African-American,0,1,0,0,3,0,2014-01-13 02:37:51,2014-01-13 07:46:57,14000567CF10A,2014-01-13,,0,F,False 911 Call,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-13,2014-01-13,3,0,809,0,0,0 +8807,alex materiale,alex,materiale,2014-03-11,Male,1994-06-04,21,Less than 25,Hispanic,0,8,0,3,1,-25,2014-02-14 11:46:56,2014-02-15 08:32:02,14002133CF10A,2014-02-14,,25,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-11,Risk of Violence,6,Medium,2014-03-11,2014-10-30,2014-11-19,1,0,233,0,0,0 +8809,dominique gonzalez,dominique,gonzalez,2014-01-13,Female,1993-06-17,22,Less than 25,Hispanic,0,5,0,0,1,-1,2014-01-12 05:58:48,2014-01-14 10:17:25,14000529CF10A,,2014-01-12,1,F,arrest case no charge,1,16010377TC40A,(M2),,2016-02-13,Driving License Suspended,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-13,Risk of Violence,5,Medium,2014-01-13,2014-01-12,2014-01-14,1,1,761,1,0,0 +8812,steven vigo,steven,vigo,2013-05-24,Male,1983-10-16,32,25 - 45,Hispanic,0,3,0,0,3,0,2013-05-24 02:14:27,2013-05-24 08:22:34,11016528CF10A,,2013-05-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-24,Risk of Violence,2,Low,2013-05-24,2014-05-17,2014-05-23,3,0,358,0,0,0 +8813,oscar clark,oscar,clark,2014-03-22,Male,1990-06-21,25,25 - 45,African-American,0,2,0,0,0,0,2014-03-22 02:24:16,2014-06-20 08:29:13,14004063CF10A,2014-03-21,,1,F,Corrupt Public Servant,1,15001198CF10A,(M1),0,2015-01-26,Resist/Obstruct W/O Violence,2015-01-26,2015-02-17,,1,15001198CF10A,(F3),2015-01-26,Battery on Law Enforc Officer,Risk of Recidivism,2,Low,2014-03-22,Risk of Violence,3,Low,2014-03-22,2015-01-26,2015-02-17,0,90,310,1,1,1 +8814,norma collins,norma,collins,2013-05-03,Female,1989-03-14,27,25 - 45,African-American,0,3,0,0,0,-1,2013-05-02 09:32:44,2013-05-03 12:53:32,13008544MM10A,2013-05-02,,1,M,Battery,1,16002190MM10A,(M1),0,2016-03-06,Battery,2016-03-06,2016-03-07,,1,16002190MM10A,(M1),2016-03-06,Battery,Risk of Recidivism,3,Low,2013-05-03,Risk of Violence,3,Low,2013-05-03,2016-03-06,2016-03-07,0,0,1038,1,0,0 +8816,yoan miranda,yoan,miranda,2013-11-27,Male,1981-03-14,35,25 - 45,Caucasian,0,2,0,0,0,0,2013-11-27 12:01:59,2013-11-28 02:20:19,13016489CF10A,2013-11-26,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-27,Risk of Violence,2,Low,2013-11-27,2013-11-27,2013-11-28,0,1,856,0,0,0 +8818,tiffany harris,tiffany,harris,2013-09-27,Male,1975-11-10,40,25 - 45,African-American,0,3,0,0,2,-1,2013-09-26 05:51:39,2013-09-27 01:50:53,13018352MM10A,2013-09-26,,1,M,Battery,1,15010505MM10A,(M1),0,2015-10-07,Battery,2015-10-07,2015-10-08,,1,15010505MM10A,(M1),2015-10-07,Battery,Risk of Recidivism,3,Low,2013-09-27,Risk of Violence,3,Low,2013-09-27,2014-03-07,2014-03-08,2,0,161,0,0,0 +8819,carlene dill,carlene,dill,2013-04-17,Female,1986-05-26,29,25 - 45,Other,0,3,0,0,0,-1,2013-04-16 11:04:17,2013-06-03 09:05:35,13005532CF10A,2013-04-16,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-17,Risk of Violence,3,Low,2013-04-17,2013-04-16,2013-06-03,0,47,1080,0,0,0 +8820,teshane jemmott,teshane,jemmott,2014-09-22,Male,1991-05-18,24,Less than 25,African-American,0,9,0,2,2,-1,2014-09-21 03:02:31,2014-10-15 08:42:14,14014006MM10A,2014-09-21,,1,M,Battery,1,15008729MM10A,(M1),0,2015-07-21,Petit Theft $100- $300,2015-07-21,2015-09-28,,1,15009395CF10A,(F2),2015-07-21,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,9,High,2014-09-22,Risk of Violence,7,Medium,2014-09-22,2015-07-21,2015-09-28,2,23,302,1,1,1 +8821,william cesaire,william,cesaire,2013-05-25,Male,1991-07-12,24,Less than 25,African-American,5,10,1,0,10,0,2013-05-25 02:03:09,2013-05-25 07:33:04,13007477CF10A,2013-05-24,,1,F,Possession of Cocaine,1,13008621CF10A,(F3),0,2013-06-18,Grand Theft in the 3rd Degree,2013-06-18,2013-10-29,,1,13008621CF10A,(F7),2013-06-18,Burglary Dwelling Assault/Batt,Risk of Recidivism,10,High,2013-05-25,Risk of Violence,9,High,2013-05-25,2013-06-18,2013-10-29,10,0,24,1,1,1 +8826,kenneth zackery,kenneth,zackery,2013-09-04,Male,1962-01-06,54,Greater than 45,African-American,0,6,0,0,13,,,,12003511CF10A,,2012-11-15,293,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-04,Risk of Violence,1,Low,2013-09-04,2003-11-17,2011-03-23,13,0,940,0,0,0 +8827,joel ortiz,joel,ortiz,2013-04-19,Male,1989-06-29,26,25 - 45,Hispanic,0,3,0,0,5,-1,2013-04-18 07:25:19,2013-04-19 01:04:18,13005582CF10A,2013-04-18,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-19,Risk of Violence,2,Low,2013-04-19,2013-04-18,2013-04-19,5,0,1078,0,0,0 +8828,nicholas franchino,nicholas,franchino,2013-10-28,Male,1965-11-11,50,Greater than 45,Caucasian,0,2,0,0,1,0,2013-10-28 01:20:34,2013-11-06 05:46:21,13015010CF10A,2013-10-28,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-28,Risk of Violence,3,Low,2013-10-28,2013-10-28,2013-11-06,1,9,886,0,0,0 +8831,josue espinosa,josue,espinosa,2013-02-17,Male,1964-04-20,51,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-02-16 11:00:54,2013-02-17 07:57:14,13003403MM10A,2013-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-17,Risk of Violence,1,Low,2013-02-17,2013-02-16,2013-02-17,0,0,1139,0,0,0 +8835,matthew moton,matthew,moton,2013-04-17,Male,1986-09-25,29,25 - 45,African-American,0,1,0,0,3,-1,2013-04-16 04:00:42,2013-04-17 10:35:05,13007370MM10A,2013-04-16,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-17,Risk of Violence,2,Low,2013-04-17,2013-04-16,2013-04-17,3,0,1080,0,0,0 +8838,daniella vidal,daniella,vidal,2013-08-11,Female,1991-03-03,25,25 - 45,Caucasian,0,4,0,0,0,0,2013-08-11 04:08:29,2013-08-12 02:12:13,13015174MM10A,2013-08-11,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-11,Risk of Violence,4,Low,2013-08-11,2013-08-11,2013-08-12,0,1,964,0,0,0 +8842,javier sanchez,javier,sanchez,2013-09-24,Male,1969-05-21,46,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-09-23 12:47:13,2013-10-04 01:57:13,13012268CF10A,,2013-09-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-24,Risk of Violence,3,Low,2013-09-24,2013-09-23,2013-10-04,1,10,920,0,0,0 +8843,hardy galette,hardy,galette,2014-11-24,Male,1982-08-02,33,25 - 45,African-American,0,7,0,2,9,-28,2014-10-27 12:30:23,2014-11-11 02:19:27,14015523MM10A,2014-10-27,,28,M,Battery,1,15002117MM10A,(M2),,2014-12-31,Petit Theft,,,,1,15002117MM10A,(M1),2014-12-31,Battery,Risk of Recidivism,7,Medium,2014-11-24,Risk of Violence,7,Medium,2014-11-24,2015-01-30,2015-05-12,9,0,37,1,1,1 +8844,richard ortiz,richard,ortiz,2013-09-24,Male,1984-07-03,31,25 - 45,Hispanic,0,7,1,0,19,-1,2013-09-23 07:54:43,2013-09-24 07:47:19,13013404CF10A,2013-09-23,,1,F,"Poss 3,4 MDMA (Ecstasy)",1,14009209CF10A,(F3),0,2014-07-04,Possession of Cocaine,2014-07-04,2014-07-04,,1,14009209CF10A,(F3),2014-07-04,Battery on Law Enforc Officer,Risk of Recidivism,7,Medium,2013-09-24,Risk of Violence,2,Low,2013-09-24,2014-07-04,2014-07-04,19,0,283,0,1,1 +8845,justin brown,justin,brown,2013-01-04,Male,1994-06-17,21,Less than 25,Other,0,4,0,0,0,-1,2013-01-03 08:19:16,2013-01-07 09:42:38,13000137CF10A,2013-01-03,,1,M,Aggravated Assault w/Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-04,Risk of Violence,6,Medium,2013-01-04,2013-01-03,2013-01-07,0,3,1183,0,0,0 +8849,jermonte lucas,jermonte,lucas,2013-07-19,Male,1993-03-13,23,Less than 25,African-American,0,5,0,0,1,-39,2013-06-10 07:20:02,2013-06-11 06:37:04,13008230CF10A,,2013-07-15,4,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-19,Risk of Violence,5,Medium,2013-07-19,2013-06-10,2013-06-11,1,0,987,0,0,0 +8854,dalvis martin,dalvis,martin,2013-09-05,Male,1980-12-08,35,25 - 45,African-American,0,4,0,0,4,-1,2013-09-04 01:52:20,2013-09-15 02:36:41,13012486CF10A,,2013-09-04,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-05,Risk of Violence,5,Medium,2013-09-05,2015-06-01,2015-06-20,4,10,634,0,0,0 +8856,frederick thomas,frederick,thomas,2013-04-01,Male,1990-04-07,26,25 - 45,Other,0,4,0,0,1,-1,2013-03-31 03:47:27,2013-04-01 06:11:22,13006185MM10A,2013-03-31,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-01,Risk of Violence,7,Medium,2013-04-01,2013-03-31,2013-04-01,1,0,1096,0,0,0 +8857,elio rivera,elio,rivera,2013-01-06,Male,1988-05-26,27,25 - 45,Caucasian,0,5,0,0,0,0,2013-01-06 04:31:06,2013-01-08 05:20:57,13000301MM10A,2013-01-06,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-06,Risk of Violence,4,Low,2013-01-06,2013-01-06,2013-01-08,0,2,1181,0,0,0 +8858,samuel mcleod,samuel,mcleod,2014-03-23,Male,1993-09-21,22,Less than 25,African-American,0,6,1,3,2,-1,2014-03-22 11:52:10,2014-03-23 08:29:09,14004062CF10A,2014-03-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-23,Risk of Violence,5,Medium,2014-03-23,2014-03-22,2014-03-23,2,0,740,0,0,0 +8859,adonica mclemore,adonica,mclemore,2014-07-20,Female,1986-08-12,29,25 - 45,African-American,0,4,0,0,0,-1,2014-07-19 05:05:54,2014-07-20 08:08:01,14009867CF10A,2014-07-19,,1,F,Aggravated Battery (Firearm),1,15015131CF10A,(F3),51,2015-10-10,Burglary Conveyance Unoccup,2015-11-30,2015-12-03,,1,15015131CF10A,(M1),2015-10-10,Battery,Risk of Recidivism,4,Low,2014-07-20,Risk of Violence,2,Low,2014-07-20,2015-11-30,2015-12-03,0,0,447,1,1,1 +8861,kenneth hammond,kenneth,hammond,2014-01-12,Male,1984-09-10,31,25 - 45,African-American,0,9,0,0,0,-1,2014-01-11 06:00:49,2014-01-13 02:58:29,14000490CF10A,2014-01-11,,1,M,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-12,Risk of Violence,4,Low,2014-01-12,2014-01-11,2014-01-13,0,1,810,0,0,0 +8864,shantelle jordan,shantelle,jordan,2013-04-28,Female,1986-12-19,29,25 - 45,Hispanic,0,3,0,0,0,0,2013-04-28 04:06:52,2013-04-28 06:43:22,13006110CF10A,2013-04-28,,0,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-28,Risk of Violence,3,Low,2013-04-28,2013-04-28,2013-04-28,0,0,1069,0,0,0 +8865,fay mizrachi,fay,mizrachi,2013-04-25,Female,1951-01-16,65,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-24 07:03:33,2013-04-25 01:08:21,13005904CF10A,2013-04-24,,1,F,Fraudulent Use of Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-24,2013-04-25,0,0,1072,0,0,0 +8866,margarita gonzalez,margarita,gonzalez,2013-06-06,Female,1981-11-01,34,25 - 45,Hispanic,0,3,0,0,1,-5,2013-06-01 10:35:08,2013-06-05 06:03:38,13010521MM10A,2013-06-01,,5,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-06,Risk of Violence,1,Low,2013-06-06,2013-06-01,2013-06-05,1,0,1030,0,0,0 +8867,michael flores,michael,flores,2013-02-23,Male,1991-11-25,24,Less than 25,Caucasian,0,10,0,2,6,0,2013-02-23 03:17:40,2013-03-02 08:24:16,13002782CF10A,2013-02-23,,0,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-23,Risk of Violence,5,Medium,2013-02-23,2015-10-12,2015-10-12,6,7,961,0,0,0 +8869,roderick penn,roderick,penn,2013-01-26,Male,1969-10-02,46,Greater than 45,African-American,0,2,0,0,0,0,2013-01-26 07:30:18,2013-01-27 08:32:51,13001878MM10A,2013-01-26,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-26,Risk of Violence,1,Low,2013-01-26,2013-01-26,2013-01-27,0,1,1161,0,0,0 +8870,andres perez,andres,perez,2013-08-27,Male,1990-01-06,26,25 - 45,Other,0,2,0,0,3,-41,2013-07-17 01:14:32,2013-08-27 03:55:00,13009969CF10A,2013-07-16,,42,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-27,Risk of Violence,3,Low,2013-08-27,2013-07-17,2013-08-27,3,0,948,0,0,0 +8876,ceven lewis,ceven,lewis,2013-02-09,Male,1986-04-20,29,25 - 45,African-American,0,3,0,0,7,0,2013-02-09 03:34:10,2013-02-11 09:29:51,13002034CF10A,2013-02-09,,0,F,Burglary Dwelling Occupied,1,15042467TC30A,(M2),,2015-06-09,Susp Drivers Lic 1st Offense,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-09,Risk of Violence,2,Low,2013-02-09,2014-07-25,2014-07-26,7,2,531,0,0,0 +8877,robin foy,robin,foy,2014-02-04,Female,1960-02-07,56,Greater than 45,Caucasian,0,1,0,0,3,-1,2014-02-03 06:27:36,2014-02-04 01:31:30,14001597CF10A,2014-02-03,,1,F,Unlicensed Telemarketing,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-03,2014-02-04,3,0,787,0,0,0 +8879,arrik young,arrik,young,2013-04-07,Male,1994-12-13,21,Less than 25,African-American,0,4,0,0,0,0,2013-04-07 02:50:45,2013-04-08 04:00:00,13004999CF10A,2013-04-06,,1,F,"Deliver 3,4 Methylenediox",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-07,Risk of Violence,7,Medium,2013-04-07,2013-04-07,2013-04-08,0,1,1090,0,0,0 +8881,anthony strickland,anthony,strickland,2013-01-07,Male,1975-12-12,40,25 - 45,African-American,0,10,0,0,0,0,2013-01-07 02:33:54,2013-01-11 09:36:33,13000278CF10A,2013-01-07,,0,F,Possession of Cocaine,1,13006180MO10A,(MO3),0,2013-03-31,Resisting W/O Violence,2013-03-31,2013-06-14,,1,13006180MO10A,(MO3),2013-03-31,Battery Spouse Or Girlfriend,Risk of Recidivism,10,High,2013-01-07,Risk of Violence,9,High,2013-01-07,2013-03-31,2013-06-14,0,4,83,1,1,1 +8882,peter bonbon,peter,bonbon,2014-02-14,Male,1994-02-11,22,Less than 25,African-American,0,9,0,0,2,-1,2014-02-13 12:25:47,2014-04-09 05:37:42,14002561MM10A,2014-02-13,,1,M,Viol Injunct Domestic Violence,1,14009680MM10A,(M1),0,2014-06-20,Possess Cannabis/20 Grams Or Less,2014-06-20,2014-06-20,,1,15008422MM10A,(M1),2015-08-09,Battery,Risk of Recidivism,9,High,2014-02-14,Risk of Violence,8,High,2014-02-14,2014-06-20,2014-06-20,2,54,126,0,1,1 +8884,christopher freeman,christopher,freeman,2014-01-06,Male,1976-09-08,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-05 06:33:24,2014-01-06 12:02:21,14000387MU10A,2014-01-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-05,2014-01-06,0,0,816,0,0,0 +8889,johnny bland,johnny,bland,2014-01-17,Male,1980-04-07,36,25 - 45,Caucasian,0,2,0,0,1,0,2014-01-17 02:33:03,2014-01-17 09:43:27,14000770CF10A,2014-01-17,,0,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-17,Risk of Violence,1,Low,2014-01-17,2014-01-17,2014-01-17,1,0,805,0,0,0 +8890,jonathan cleare,jonathan,cleare,2013-11-23,Male,1985-12-10,30,25 - 45,African-American,0,1,0,0,0,-1,2013-11-22 03:20:19,2013-11-24 02:55:48,13016251CF10A,2013-11-22,,1,F,Computer Pornography,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-23,Risk of Violence,2,Low,2013-11-23,2013-11-22,2013-11-24,0,1,860,0,0,0 +8891,michael hinsch,michael,hinsch,2013-09-24,Male,1959-12-03,56,Greater than 45,Caucasian,0,4,0,0,17,41,2013-11-04 03:43:08,2013-11-27 09:09:54,13010917CF10A,2013-08-02,,53,F,Corrupt Public Servant,1,13020817MM10A,(M1),0,2013-11-04,Battery,2013-11-04,2013-11-27,,1,13020817MM10A,(M1),2013-11-04,Battery,Risk of Recidivism,4,Low,2013-09-24,Risk of Violence,4,Low,2013-09-24,2013-11-04,2013-11-27,17,0,41,1,1,1 +8893,charleton latimore,charleton,latimore,2013-09-15,Male,1979-11-16,36,25 - 45,African-American,0,6,0,0,0,-1,2013-09-14 07:15:24,2013-09-16 03:47:12,13017532MM10A,2013-09-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-15,Risk of Violence,5,Medium,2013-09-15,2013-09-14,2013-09-16,0,1,929,0,0,0 +8894,donathan james,donathan,james,2013-03-11,Male,1977-12-23,38,25 - 45,African-American,0,7,0,0,5,,,,13004867MM10A,2013-03-11,,0,M,Unlaw Use False Name/Identity,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-11,Risk of Violence,7,Medium,2013-03-11,,,5,0,1117,0,0,0 +8897,joseph fallon,joseph,fallon,2013-01-28,Male,1984-02-29,32,25 - 45,African-American,0,1,0,0,0,-1,2013-01-27 06:27:20,2013-01-29 10:59:12,13001335CF10A,2013-01-27,,1,F,Robbery / Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-29,0,1,1159,0,0,0 +8902,samuel louis,samuel,louis,2013-01-22,Male,1992-07-05,23,Less than 25,Other,0,3,0,0,0,-1,2013-01-21 11:08:31,2013-01-22 02:00:40,13001438MM10A,2013-01-21,,1,M,Possess Cannabis/20 Grams Or Less,1,15008975MM10A,(M2),0,2015-08-25,Interfere With K9/Horses Duties,2015-08-25,2015-08-26,,0,,,,,Risk of Recidivism,3,Low,2013-01-22,Risk of Violence,4,Low,2013-01-22,2015-08-25,2015-08-26,0,0,945,1,0,0 +8905,german garciadiciocco,german,garciadiciocco,2013-08-04,Male,1963-08-01,52,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-03 08:41:11,2013-08-04 08:02:48,13014645MM10A,2013-08-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-04,Risk of Violence,1,Low,2013-08-04,2013-08-03,2013-08-04,0,0,971,0,0,0 +8908,leverdieu jasmin,leverdieu,jasmin,2013-12-01,Male,1977-07-11,38,25 - 45,African-American,0,4,0,0,5,-1,2013-11-30 11:15:26,2013-12-06 02:02:27,13022342MM10A,2013-11-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-01,Risk of Violence,2,Low,2013-12-01,2013-11-30,2013-12-06,5,5,852,0,0,0 +8909,irangel arocho,irangel,arocho,2013-02-13,Male,1969-10-09,46,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-13 01:58:51,2013-02-13 07:54:38,13003133MM10A,2013-02-13,,0,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-02-13,2013-02-13,0,0,1143,0,0,0 +8914,kesneil johnson,kesneil,johnson,2014-11-05,Male,1995-11-15,20,Less than 25,African-American,0,3,0,0,2,-17,2014-10-19 08:57:11,2014-11-04 09:23:44,14014123CF10A,2014-10-19,,17,F,Aggravated Assault W/Dead Weap,1,15011136CF10A,(F3),0,2015-08-28,Felony Petit Theft,2015-08-28,2015-09-17,,1,15011136CF10A,(M1),2015-08-28,Battery,Risk of Recidivism,3,Low,2014-11-05,Risk of Violence,5,Medium,2014-11-05,2014-12-07,2014-12-24,2,0,32,0,1,1 +8916,larhonda mcmillan,larhonda,mcmillan,2013-09-11,Female,1964-10-04,51,Greater than 45,African-American,0,1,0,0,1,,,,12024026MM10A,2012-11-24,,291,M,DUI- Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,,,1,0,933,0,0,0 +8922,lawrence wanschek,lawrence,wanschek,2013-05-26,Male,1952-12-24,63,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-25 11:32:19,2013-05-26 08:33:03,13007476CF10A,2013-05-25,,1,F,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-26,Risk of Violence,1,Low,2013-05-26,2013-05-25,2013-05-26,0,0,1041,0,0,0 +8923,jahmal parker,jahmal,parker,2013-05-14,Male,1988-12-01,27,25 - 45,African-American,0,6,0,0,2,,,,12014001CF10A,2012-09-22,,234,F,Robbery / Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-14,Risk of Violence,4,Low,2013-05-14,,,2,0,1053,0,0,0 +8924,freddie davis,freddie,davis,2014-08-26,Male,1988-06-02,27,25 - 45,African-American,0,4,0,0,1,-1,2014-08-25 10:18:43,2014-08-26 08:44:24,14011603CF10A,2014-08-25,,1,F,Aggravated Battery / Pregnant,1,15007140CF10A,(F3),0,2015-06-01,Stalking (Aggravated),2015-06-01,2015-07-03,,1,15007140CF10A,(F3),2015-06-01,Agg Assault W/int Com Fel Dome,Risk of Recidivism,4,Low,2014-08-26,Risk of Violence,5,Medium,2014-08-26,2015-02-11,2015-02-12,1,0,169,0,1,1 +8925,brunsweck jeanpierre,brunsweck,jeanpierre,2014-01-29,Male,1989-01-07,27,25 - 45,African-American,0,5,0,0,0,-1,2014-01-28 01:58:14,2014-01-31 08:36:08,14001241CF10A,2014-01-28,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-29,Risk of Violence,4,Low,2014-01-29,2016-03-16,2016-03-23,0,2,777,0,0,0 +8935,jereme sheppard,jereme,sheppard,2013-11-26,Male,1991-05-22,24,Less than 25,African-American,2,9,1,0,10,-251,2013-03-20 10:47:45,2013-03-21 07:11:57,13011948TC10A,2013-03-20,,251,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-26,Risk of Violence,5,Medium,2013-11-26,2013-03-20,2013-03-21,10,0,857,0,0,0 +8936,carlos eady,carlos,eady,2013-09-07,Male,1988-12-30,27,25 - 45,African-American,0,1,0,0,0,0,2013-09-07 01:01:09,2013-09-08 04:02:48,13017038MM10A,2013-09-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-07,Risk of Violence,2,Low,2013-09-07,2015-01-09,2015-03-15,0,1,489,0,0,0 +8938,rabecca davis,rabecca,davis,2014-01-13,Female,1967-05-11,48,Greater than 45,African-American,0,5,0,0,0,-1,2014-01-12 10:49:59,2014-01-22 08:49:33,14000573MM10A,2014-01-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-13,Risk of Violence,3,Low,2014-01-13,2014-01-12,2014-01-22,0,9,809,0,0,0 +8939,iyana llanos,iyana,llanos,2014-01-27,Female,1990-03-06,26,25 - 45,African-American,0,4,0,0,1,-23,2014-01-04 11:01:26,2014-01-05 04:59:52,14000189MM10A,2014-01-04,,23,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-27,Risk of Violence,5,Medium,2014-01-27,2014-01-04,2014-01-05,1,0,795,0,0,0 +8940,samir soussi,samir,soussi,2014-01-31,Male,1957-07-10,58,Greater than 45,Other,0,1,0,0,0,0,2014-01-31 01:07:44,2014-01-31 08:14:11,14001354CF10A,2014-01-30,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2014-01-31,2014-01-31,0,0,791,0,0,0 +8943,patricia younger,patricia,younger,2013-10-07,Female,1964-05-13,51,Greater than 45,African-American,0,1,0,0,4,-60,2013-08-08 08:23:20,2013-10-07 11:12:43,08014336CF10A,,2013-08-08,60,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-08-08,2013-10-07,4,0,907,0,0,0 +8944,alens joseph,alens,joseph,2013-03-20,Male,1974-05-19,41,25 - 45,African-American,0,1,0,0,0,-1,2013-03-19 11:12:30,2013-03-23 01:04:00,13003985CF10A,,2013-03-19,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-20,Risk of Violence,1,Low,2013-03-20,2015-10-14,2015-10-20,0,3,938,0,0,0 +8945,ronald smith,ronald,smith,2013-01-15,Male,1994-11-03,21,Less than 25,African-American,0,7,0,0,0,-1,2013-01-14 03:40:11,2013-01-15 01:09:24,13000643CF10A,2013-01-14,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,7,Medium,2013-01-15,2013-01-14,2013-01-15,0,0,1172,0,0,0 +8946,kenson jeanphilippe,kenson,jeanphilippe,2013-12-22,Male,1983-07-12,32,25 - 45,African-American,0,7,0,0,1,,,,12005060MM10A,2012-03-10,,652,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-12-22,Risk of Violence,9,High,2013-12-22,,,1,0,831,0,0,0 +8948,mikemsonn michaud,mikemsonn,michaud,2013-04-26,Male,1989-08-03,26,25 - 45,Other,0,2,0,0,0,-1,2013-04-25 01:57:38,2013-04-26 07:29:04,13008016MM10A,2013-04-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,3,Low,2013-04-26,2013-04-25,2013-04-26,0,0,1071,0,0,0 +8949,sunil jagpal,sunil,jagpal,2013-01-27,Female,1977-01-20,39,25 - 45,African-American,0,6,0,0,3,-1,2013-01-26 05:18:10,2013-01-28 06:53:55,13003859TC10A,2013-01-26,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-27,Risk of Violence,2,Low,2013-01-27,2014-07-22,2014-08-06,3,1,541,0,0,0 +8950,blessing egbarin,blessing,egbarin,2014-02-19,Female,1967-04-20,48,Greater than 45,Other,0,1,0,0,0,,,,14002819MM10A,2014-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-19,Risk of Violence,1,Low,2014-02-19,,,0,0,772,0,0,0 +8954,trevor grosholz,trevor,grosholz,2013-12-31,Male,1969-12-30,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-30 11:43:47,2013-12-31 01:41:52,13023993MM10A,2013-12-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-31,Risk of Violence,1,Low,2013-12-31,2013-12-30,2013-12-31,0,0,822,0,0,0 +8955,emilio perez,emilio,perez,2014-02-20,Male,1959-12-26,56,Greater than 45,Hispanic,0,8,0,0,2,,,,11067674TC40A,2011-09-30,,874,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-20,Risk of Violence,5,Medium,2014-02-20,2007-11-21,2008-09-06,2,0,771,0,0,0 +8959,anton porter,anton,porter,2013-12-17,Male,1982-11-05,33,25 - 45,Other,0,8,1,0,7,-1,2013-12-16 02:37:00,2014-04-11 03:13:00,13017382CF10A,2013-12-16,,1,F,Trespass Property w/Dang Weap,1,15015388CF10A,(F3),143,2015-11-03,Felony Battery (Dom Strang),2016-03-25,2016-03-26,,1,15015388CF10A,(F3),2015-11-03,Felony Battery (Dom Strang),Risk of Recidivism,8,High,2013-12-17,Risk of Violence,3,Low,2013-12-17,2013-12-16,2014-04-11,7,115,686,1,1,1 +8961,manuel baker,manuel,baker,2014-07-01,Male,1996-02-11,20,Less than 25,Native American,0,9,1,0,1,-5,2014-06-26 10:46:59,2014-07-01 11:20:41,14005315CF10A,,2014-06-26,5,F,arrest case no charge,1,15000912CF10A,(M1),1,2015-01-21,Resist/Obstruct W/O Violence,2015-01-22,2015-05-07,,1,15000912CF10A,(F3),2015-01-21,Battery on Law Enforc Officer,Risk of Recidivism,9,High,2014-07-01,Risk of Violence,9,High,2014-07-01,2015-01-22,2015-05-07,1,0,204,1,1,1 +8962,randy fernandez,randy,fernandez,2014-01-05,Male,1983-11-07,32,25 - 45,Caucasian,0,3,0,0,0,-1,2014-01-04 12:57:21,2014-01-05 02:30:43,14000175MM10A,2014-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-05,Risk of Violence,3,Low,2014-01-05,2014-01-04,2014-01-05,0,0,817,0,0,0 +8967,silvio lopez,silvio,lopez,2013-06-03,Male,1951-11-10,64,Greater than 45,Hispanic,0,1,0,0,1,-2,2013-06-01 10:15:46,2013-06-02 08:24:11,13010506MM10A,2013-06-01,,2,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-03,Risk of Violence,1,Low,2013-06-03,2013-06-01,2013-06-02,1,0,1033,0,0,0 +8971,fabensky michel,fabensky,michel,2014-03-03,Male,1990-01-03,26,25 - 45,African-American,0,4,0,0,2,-23,2014-02-08 07:11:12,2014-02-09 01:26:52,14001807CF10A,2014-02-08,,23,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-03,Risk of Violence,4,Low,2014-03-03,2014-02-08,2014-02-09,2,0,760,0,0,0 +8973,elizabeth wiess,elizabeth,wiess,2013-01-30,Female,1986-04-05,30,25 - 45,Caucasian,0,6,0,0,1,40,2013-03-11 12:07:04,2013-03-19 11:20:35,12013432MM10A,2012-06-28,,216,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-30,Risk of Violence,2,Low,2013-01-30,2013-03-11,2013-03-19,1,0,40,0,0,0 +8974,tyrie walker,tyrie,walker,2013-04-30,Male,1994-01-25,22,Less than 25,African-American,0,8,0,0,2,-1,2013-04-29 04:28:02,2013-04-30 07:17:44,13006149CF10A,2013-04-29,,1,F,Robbery Sudd Snatch No Weapon,1,15016724TC10A,(M2),,2015-05-18,Operating W/O Valid License,,,,1,15009326MM10A,(M1),2015-07-24,Battery,Risk of Recidivism,8,High,2013-04-30,Risk of Violence,8,High,2013-04-30,2013-04-29,2013-04-30,2,0,748,1,0,0 +8976,catherine scher,catherine,scher,2013-12-22,Female,1972-05-28,43,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-22 02:32:05,2013-12-23 01:40:39,13017627CF10A,2013-12-21,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-22,Risk of Violence,1,Low,2013-12-22,2013-12-22,2013-12-23,0,1,831,0,0,0 +8983,deborah spoth,deborah,spoth,2013-05-10,Female,1961-04-18,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-09 10:15:50,2013-05-10 08:38:51,13008981MM10A,2013-05-09,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-10,Risk of Violence,1,Low,2013-05-10,2013-05-09,2013-05-10,0,0,1057,0,0,0 +8984,mario luis,mario,luis,2013-08-07,Male,1982-04-15,34,25 - 45,Hispanic,0,1,0,0,0,0,2013-08-07 12:09:52,2013-10-23 11:18:41,13014877MM10A,2013-08-06,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-07,Risk of Violence,1,Low,2013-08-07,2013-08-07,2013-10-23,0,77,968,0,0,0 +8988,jordan barr,jordan,barr,2013-10-15,Male,1995-07-20,20,Less than 25,African-American,0,2,0,2,1,-1,2013-10-14 05:43:48,2013-10-16 09:20:13,13014392CF10A,,2013-10-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-15,Risk of Violence,6,Medium,2013-10-15,2013-10-14,2013-10-16,1,1,899,0,0,0 +8991,dominique troutman,dominique,troutman,2014-07-06,Male,1987-02-09,29,25 - 45,African-American,0,9,4,1,15,227,2015-02-18 11:39:46,2015-08-24 01:02:23,14009227CF10A,2014-07-05,,1,F,Felony Battery w/Prior Convict,1,15002261CF10A,(M2),0,2015-02-18,Susp Drivers Lic 1st Offense,2015-02-18,2015-08-24,,1,15002261CF10A,(F2),2015-02-18,Agg Fleeing/Eluding High Speed,Risk of Recidivism,9,High,2014-07-06,Risk of Violence,7,Medium,2014-07-06,2015-02-18,2015-08-24,15,0,227,1,1,1 +8995,timothy evans,timothy,evans,2013-02-23,Male,1960-06-03,55,Greater than 45,Caucasian,0,8,0,0,7,0,2013-02-23 03:21:11,2013-02-23 09:04:37,13002770CF10A,2013-02-23,,0,F,Felony DUI (level 3),0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-23,Risk of Violence,10,High,2013-02-23,2014-06-19,2014-07-07,7,0,481,0,0,0 +8996,bradley vaval,bradley,vaval,2013-03-06,Male,1993-07-23,22,Less than 25,African-American,0,6,0,0,1,-1,2013-03-05 09:14:57,2013-03-07 05:10:56,13003293CF10A,2013-03-05,,1,F,Fleeing or Eluding a LEO,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-06,Risk of Violence,8,High,2013-03-06,2013-04-22,2013-04-29,1,1,47,0,0,0 +8997,john kemp,john,kemp,2013-09-10,Male,1961-02-10,55,Greater than 45,African-American,0,1,0,0,1,-1,2013-09-09 04:06:52,2013-09-18 10:30:00,13010628CF10A,,2013-09-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-18,1,8,934,0,0,0 +8999,lamonte dean,lamonte,dean,2013-03-15,Male,1994-11-09,21,Less than 25,African-American,0,10,0,3,0,-1,2013-03-14 07:22:45,2013-03-21 07:20:07,13003771CF10A,2013-03-14,,1,F,Pos Cannabis W/Intent Sel/Del,1,14001493MM10A,(M1),0,2014-01-27,Unlaw Use False Name/Identity,2014-01-27,2014-02-24,,1,15011755CF10A,(F3),2015-09-09,Robbery Sudd Snatch No Weapon,Risk of Recidivism,10,High,2013-03-15,Risk of Violence,9,High,2013-03-15,2014-01-27,2014-02-24,0,6,318,1,1,1 +9003,tony dees,tony,dees,2013-06-11,Male,1977-06-29,38,25 - 45,African-American,1,4,0,0,6,-52,2013-04-20 10:31:47,2013-06-11 11:15:31,13005653CF10A,,2013-04-20,52,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-11,Risk of Violence,3,Low,2013-06-11,2013-04-20,2013-06-11,6,0,1025,0,0,0 +9004,james goodwin,james,goodwin,2013-09-24,Male,1992-12-19,23,Less than 25,African-American,0,2,0,0,0,-1,2013-09-23 09:18:09,2013-09-24 08:49:29,13013399CF10A,,2013-09-23,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-24,Risk of Violence,4,Low,2013-09-24,2013-09-23,2013-09-24,0,0,920,0,0,0 +9005,carly grimes,carly,grimes,2013-08-07,Female,1988-01-09,28,25 - 45,Caucasian,0,5,0,0,1,-2,2013-08-05 10:26:37,2013-08-06 01:36:07,13010970CF10A,2013-08-05,,2,M,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-07,Risk of Violence,2,Low,2013-08-07,2013-08-05,2013-08-06,1,0,968,0,0,0 +9008,wilner joseph,wilner,joseph,2013-05-09,Male,1970-11-29,45,Greater than 45,Other,0,1,0,0,0,0,2013-05-09 01:46:12,2013-05-10 12:10:14,13006682CF10A,2013-05-08,,1,F,Tamper With Witness/Victim/CI,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-09,Risk of Violence,1,Low,2013-05-09,2013-05-09,2013-05-10,0,1,1058,0,0,0 +9010,broderick lewis,broderick,lewis,2013-04-15,Male,1976-08-26,39,25 - 45,African-American,0,1,0,0,1,-1,2013-04-14 12:35:29,2013-04-28 04:07:31,13005381CF10A,2013-04-14,,1,F,Agg Battery Grt/Bod/Harm,1,15045856TC40A,(M2),,2015-08-06,Expired DL More Than 6 Months,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-15,Risk of Violence,2,Low,2013-04-15,2013-04-14,2013-04-28,1,13,843,1,0,0 +9012,lionel sacon,lionel,sacon,2013-07-29,Male,1936-08-28,79,Greater than 45,Caucasian,0,1,0,0,1,-22,2013-07-07 09:04:26,2013-07-08 12:17:21,13012898MM10A,2013-07-07,,22,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-29,Risk of Violence,1,Low,2013-07-29,2013-07-07,2013-07-08,1,0,977,0,0,0 +9013,james bruschetti,james,bruschetti,2013-12-07,Male,1968-01-21,48,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-12-06 07:54:08,2013-12-07 01:25:17,13016908CF10A,2013-12-06,,1,F,Depriv LEO of Protect/Communic,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-07,Risk of Violence,1,Low,2013-12-07,2013-12-06,2013-12-07,1,0,846,0,0,0 +9018,samuel walker,samuel,walker,2013-01-12,Male,1985-02-19,31,25 - 45,African-American,1,8,0,0,5,-1,2013-01-11 01:37:56,2013-01-12 01:34:34,12052989TC10A,,2013-01-11,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-12,Risk of Violence,3,Low,2013-01-12,2014-07-17,2014-07-24,5,0,551,0,0,0 +9023,richard fleenor,richard,fleenor,2014-03-23,Male,1959-09-29,56,Greater than 45,Caucasian,0,1,0,0,1,-1,2014-03-22 11:04:24,2014-03-26 09:44:27,14005017MM10A,2014-03-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-26,1,3,740,0,0,0 +9028,jerome hill,jerome,hill,2013-08-19,Male,1973-01-14,43,25 - 45,African-American,0,1,0,0,2,-1,2013-08-18 05:31:33,2013-08-20 07:43:59,13015624MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-20,2,1,956,0,0,0 +9030,kevin sanchez,kevin,sanchez,2014-03-13,Male,1995-07-18,20,Less than 25,Hispanic,0,3,0,2,0,-1,2014-03-12 12:52:07,2014-03-13 04:07:39,14003531CF10A,2014-03-12,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,5,Medium,2014-03-13,2014-03-12,2014-03-13,0,0,750,0,0,0 +9032,darius wilborn,darius,wilborn,2013-08-08,Male,1974-12-18,41,25 - 45,African-American,0,6,0,0,0,-4,2013-08-04 03:15:07,2013-08-07 08:38:50,13014562MM10A,2013-08-04,,4,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-08,Risk of Violence,2,Low,2013-08-08,2014-01-21,2014-02-06,0,0,166,0,0,0 +9033,romero alexander,romero,alexander,2013-12-07,Male,1992-03-15,24,Less than 25,Other,0,3,0,0,1,-1,2013-12-06 03:59:45,2013-12-07 08:00:48,13016890CF10A,2013-12-06,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-07,Risk of Violence,3,Low,2013-12-07,2014-02-01,2014-02-02,1,0,56,0,0,0 +9038,angel willis,angel,willis,2013-09-25,Female,1982-05-13,33,25 - 45,African-American,0,1,0,0,1,-1,2013-09-24 07:19:08,2013-09-25 07:32:07,13013425CF10A,,2013-09-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-25,Risk of Violence,1,Low,2013-09-25,2013-09-24,2013-09-25,1,0,919,0,0,0 +9039,curtis anderson,curtis,anderson,2014-02-05,Male,1993-07-30,22,Less than 25,African-American,0,3,0,0,0,-1,2014-02-04 01:35:10,2014-02-13 10:41:37,14001577CF10A,2014-02-04,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-05,Risk of Violence,4,Low,2014-02-05,2014-02-04,2014-02-13,0,8,786,0,0,0 +9040,corey parchment,corey,parchment,2014-01-22,Male,1982-03-10,34,25 - 45,African-American,0,1,0,0,3,-1,2014-01-21 06:38:50,2014-01-22 07:53:54,14000892CF10A,2014-01-21,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-22,Risk of Violence,1,Low,2014-01-22,2014-01-21,2014-01-22,3,0,800,0,0,0 +9041,angel franco,angel,franco,2013-01-18,Male,1980-04-19,36,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-18 03:17:45,2013-01-18 08:51:56,13001296MM10A,2013-01-18,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2013-01-18,2013-01-18,0,0,1169,0,0,0 +9042,paul stephan,paul,stephan,2013-01-19,Male,1946-07-12,69,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-01-18 04:01:25,2013-01-19 01:25:00,13000862CF10A,2013-01-18,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-19,Risk of Violence,1,Low,2013-01-19,2013-01-18,2013-01-19,0,0,1168,0,0,0 +9043,derrick gorman,derrick,gorman,2013-02-22,Male,1983-06-21,32,25 - 45,Caucasian,0,5,0,0,5,-1,2013-02-21 03:26:24,2013-02-22 01:32:44,13002881CF10A,,2013-02-21,1,F,arrest case no charge,1,15007708CF10A,(F2),0,2015-06-13,Aggrav Battery w/Deadly Weapon,2015-06-13,2015-06-14,,1,15007708CF10A,(F2),2015-06-13,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,5,Medium,2013-02-22,Risk of Violence,4,Low,2013-02-22,2014-02-20,2014-02-25,5,0,363,0,1,1 +9045,corey smaglik,corey,smaglik,2013-12-10,Male,1969-08-19,46,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-12-09 06:27:49,2014-02-26 01:03:40,13017025CF10A,2013-12-09,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-10,Risk of Violence,2,Low,2013-12-10,2013-12-09,2014-02-26,0,78,843,0,0,0 +9046,ian wilhelm,ian,wilhelm,2014-02-24,Male,1981-11-13,34,25 - 45,Caucasian,0,5,0,0,1,-14,2014-02-10 02:20:42,2014-02-11 09:23:53,14002272MM10A,2014-02-09,,15,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-24,Risk of Violence,3,Low,2014-02-24,2014-02-10,2014-02-11,1,0,767,0,0,0 +9047,shane forshaw,shane,forshaw,2014-03-07,Female,1983-07-13,32,25 - 45,Hispanic,0,1,0,0,0,0,2014-03-07 07:10:24,2014-03-17 07:16:22,14003977MM10A,2014-03-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-07,Risk of Violence,1,Low,2014-03-07,2015-06-07,2015-06-19,0,10,457,0,0,0 +9049,frederick gallaway,frederick,gallaway,2013-01-28,Male,1976-09-22,39,25 - 45,African-American,0,1,0,0,0,-1,2013-01-27 10:35:20,2013-01-28 06:46:53,13001931MM10A,2013-01-27,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-01-28,0,0,1159,0,0,0 +9054,patrick moore,patrick,moore,2014-10-01,Male,1991-04-18,25,25 - 45,African-American,0,7,0,1,6,-1,2014-09-30 08:47:42,2014-10-02 08:08:10,14014375MM10A,2014-09-30,,1,M,Battery,1,15009562CF10A,(F2),0,2015-07-25,Aggrav Battery w/Deadly Weapon,2015-07-25,2015-08-31,,1,15009562CF10A,(F2),2015-07-25,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,7,Medium,2014-10-01,Risk of Violence,7,Medium,2014-10-01,2015-07-25,2015-08-31,6,1,297,1,1,1 +9060,joseph amico,joseph,amico,2013-07-26,Male,1987-01-14,29,25 - 45,Caucasian,0,5,0,0,2,-2,2013-07-24 10:54:34,2013-07-26 10:35:06,13010359CF10A,2013-07-24,,2,M,Fighting/Baiting Animals,1,15012587MM10A,(M1),1,2015-12-04,Trespass Other Struct/Convey,2015-12-05,2015-12-05,,0,,,,,Risk of Recidivism,5,Medium,2013-07-26,Risk of Violence,4,Low,2013-07-26,2013-11-04,2013-11-22,2,0,101,0,0,0 +9062,april hood,april,hood,2014-02-17,Female,1976-04-08,40,25 - 45,Caucasian,0,5,0,0,0,-1,2014-02-16 09:48:15,2014-02-19 04:10:54,14002679MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-17,Risk of Violence,2,Low,2014-02-17,2014-02-16,2014-02-19,0,2,774,0,0,0 +9067,jacob domkoski,jacob,domkoski,2013-01-29,Male,1979-11-30,36,25 - 45,Caucasian,0,5,0,0,10,54,2013-03-24 07:18:58,2013-03-31 06:00:20,13001602MO10A,2013-01-24,,5,M,Aggress/Panhandle/Beg/Solict,1,13004257CF10A,(F2),0,2013-03-24,Burglary Unoccupied Dwelling,2013-03-24,2013-03-31,,1,13009915MM10A,(M1),2013-05-23,Battery,Risk of Recidivism,5,Medium,2013-01-29,Risk of Violence,4,Low,2013-01-29,2013-03-24,2013-03-31,10,0,54,1,1,1 +9070,bruce sinert,bruce,sinert,2013-04-25,Male,1965-05-20,50,Greater than 45,Caucasian,0,7,0,0,5,-8,2013-04-17 10:39:20,2013-04-22 11:45:09,12018393CF10A,,2013-04-17,8,F,arrest case no charge,1,15013992CF10A,(F3),0,2015-10-27,Possession Of Methamphetamine,2015-10-27,2015-10-28,,0,,,,,Risk of Recidivism,7,Medium,2013-04-25,Risk of Violence,1,Low,2013-04-25,2015-10-27,2015-10-28,5,0,915,1,0,0 +9072,james travis,james,travis,2014-11-01,Male,1979-03-22,37,25 - 45,African-American,0,7,0,0,4,-1,2014-10-31 09:52:44,2015-01-14 12:38:16,14015774MM10A,2014-10-31,,1,M,Criminal Mischief>$200<$1000,1,15005125CF10A,(M1),0,2015-04-19,Viol Injunct Domestic Violence,2015-04-19,2015-08-03,,1,15005125CF10A,(F3),2015-04-19,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2014-11-01,Risk of Violence,7,Medium,2014-11-01,2015-03-06,2015-03-24,4,74,125,0,1,1 +9074,wendell thomas,wendell,thomas,2013-02-24,Male,1982-04-03,34,25 - 45,African-American,0,7,0,0,1,0,2013-02-24 12:31:37,2013-02-24 09:00:27,13002807CF10A,2013-02-23,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-24,Risk of Violence,2,Low,2013-02-24,2014-07-11,2014-07-24,1,0,502,0,0,0 +9075,sussan cabrera,sussan,cabrera,2014-03-20,Female,1980-09-16,35,25 - 45,Hispanic,0,2,0,0,0,-1,2014-03-19 07:32:49,2014-03-20 11:57:04,14003908CF10A,2014-03-19,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-03-19,2014-03-20,0,0,743,0,0,0 +9077,joshua mercado,joshua,mercado,2013-01-12,Male,1992-06-18,23,Less than 25,Caucasian,0,7,0,1,10,-1,2013-01-11 01:35:04,2013-03-22 08:45:44,11020721CF10A,,2013-01-12,0,F,arrest case no charge,1,15006414CF10A,(F3),1,2015-05-16,Possession Of Alprazolam,2015-05-17,2015-05-17,,0,,,,,Risk of Recidivism,7,Medium,2013-01-12,Risk of Violence,6,Medium,2013-01-12,2013-01-11,2013-03-22,10,69,854,1,0,0 +9081,lansberth blackwood,lansberth,blackwood,2013-09-30,Male,1995-07-22,20,Less than 25,Other,0,4,0,0,0,-2,2013-09-28 08:34:56,2013-09-29 01:46:44,13013638CF10A,2013-09-28,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,7,Medium,2013-09-30,2014-07-24,2014-08-04,0,0,297,0,0,0 +9085,joseph brock,joseph,brock,2013-03-26,Male,1989-10-20,26,25 - 45,Caucasian,0,5,0,0,2,-1,2013-03-25 11:41:47,2013-03-26 01:03:38,13004331CF10A,2013-03-25,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,2013-03-25,2013-03-26,2,0,1102,0,0,0 +9087,robert grady,robert,grady,2014-11-13,Male,1956-07-06,59,Greater than 45,Caucasian,0,1,0,0,2,-15,2014-10-29 09:37:56,2014-10-30 08:26:47,14039923MU10A,2014-10-29,,15,M,DUI Level 0.15 Or Minor In Veh,1,15012872TC20A,(M2),,2015-02-09,Driving License Suspended,,,,1,15003782CF10A,(M1),2015-03-20,Agg Fleeing/Eluding High Speed,Risk of Recidivism,1,Low,2014-11-13,Risk of Violence,1,Low,2014-11-13,2014-12-10,2014-12-11,2,0,27,0,1,1 +9088,william rodman,william,rodman,2013-09-29,Male,1970-09-24,45,Greater than 45,Caucasian,0,2,0,0,2,,,,13013630CF10A,2013-09-28,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-29,Risk of Violence,1,Low,2013-09-29,,,2,0,915,0,0,0 +9089,michael preston,michael,preston,2013-08-16,Male,1978-07-08,37,25 - 45,Caucasian,0,2,0,0,2,-12,2013-08-04 08:19:11,2013-08-16 10:55:25,13014593MM10A,2013-08-04,,12,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-16,Risk of Violence,3,Low,2013-08-16,2013-09-19,2013-10-17,2,0,34,0,0,0 +9093,jerel dean,jerel,dean,2013-08-14,Male,1993-12-06,22,Less than 25,African-American,0,8,0,0,1,-1,2013-08-13 01:31:52,2013-09-18 11:56:57,13011361CF10A,2013-08-13,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-14,Risk of Violence,7,Medium,2013-08-14,2015-10-21,2015-11-06,1,35,798,0,0,0 +9096,janoi turner,janoi,turner,2013-01-28,Male,1990-08-20,25,25 - 45,African-American,0,5,0,0,5,-1,2013-01-27 10:18:53,2013-03-05 06:42:36,13001329CF10A,2013-01-27,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-28,Risk of Violence,7,Medium,2013-01-28,2013-03-05,2014-02-07,5,375,1159,0,0,0 +9099,vanessa byrd,vanessa,byrd,2013-02-26,Female,1963-10-21,52,Greater than 45,African-American,0,3,0,0,3,,,,12003875MM10A,,2012-07-08,233,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-26,Risk of Violence,2,Low,2013-02-26,,,3,0,1130,0,0,0 +9102,patrick shirley,patrick,shirley,2013-11-08,Male,1995-05-26,20,Less than 25,African-American,0,4,0,0,1,-1,2013-11-07 01:46:22,2013-11-08 08:59:23,13021023MM10A,2013-11-07,,1,M,Battery,1,15010342MM10A,(M1),,2015-08-23,Battery,,,,1,15010342MM10A,(M1),2015-08-23,Battery,Risk of Recidivism,4,Low,2013-11-08,Risk of Violence,7,Medium,2013-11-08,2013-11-07,2013-11-08,1,0,653,1,1,1 +9104,alfonso glenn,alfonso,glenn,2014-02-06,Male,1983-12-29,32,25 - 45,African-American,0,6,0,0,6,,,,10020562CF10A,2010-11-21,,1173,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-06,Risk of Violence,7,Medium,2014-02-06,,,6,0,785,0,0,0 +9109,shane hall,shane,hall,2013-09-24,Male,1976-09-18,39,25 - 45,Caucasian,0,6,0,0,8,-75,2013-07-11 05:28:48,2013-07-31 10:30:00,11006386CF10A,,2013-07-11,75,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-24,Risk of Violence,4,Low,2013-09-24,2013-07-11,2013-07-31,8,0,920,0,0,0 +9116,ramon matute,ramon,matute,2014-02-24,Male,1965-09-01,50,Greater than 45,Hispanic,0,1,0,0,2,0,2014-02-24 05:18:29,2014-02-25 04:40:49,14006971MU10A,2014-02-24,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-24,2014-02-25,2,1,767,0,0,0 +9120,rodquez lovett,rodquez,lovett,2014-02-05,Male,1995-12-11,20,Less than 25,African-American,1,6,0,0,1,-20,2014-01-16 08:27:08,2014-01-19 02:09:26,13017967CF10A,,2014-01-16,20,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-05,Risk of Violence,8,High,2014-02-05,2014-01-16,2014-01-19,1,0,786,0,0,0 +9123,jason franco,jason,franco,2013-04-18,Male,1977-03-07,39,25 - 45,Caucasian,0,1,0,0,1,-48,2013-03-01 08:32:20,2013-03-02 06:12:32,13003111CF10A,2013-03-01,,48,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-18,Risk of Violence,1,Low,2013-04-18,2013-03-01,2013-03-02,1,0,1079,0,0,0 +9125,nicanor durand,nicanor,durand,2013-08-09,Male,1964-09-05,51,Greater than 45,Caucasian,0,2,0,0,1,-1,2013-08-08 04:57:26,2013-08-10 04:22:50,13014993MM10A,2013-08-08,,1,M,Battery,1,14000165MM10A,(M1),,2014-01-04,Battery,,,,1,14000165MM10A,(M1),2014-01-04,Battery,Risk of Recidivism,2,Low,2013-08-09,Risk of Violence,1,Low,2013-08-09,2013-08-08,2013-08-10,1,1,148,1,1,1 +9126,deangelo ash,deangelo,ash,2013-01-21,Male,1985-10-31,30,25 - 45,African-American,0,2,0,0,2,-1,2013-01-20 05:11:14,2013-02-07 09:31:29,13001381MM10A,2013-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-21,Risk of Violence,2,Low,2013-01-21,2013-04-08,2013-04-09,2,17,77,0,0,0 +9127,hussain hussain,hussain,hussain,2014-01-12,Male,1976-06-22,39,25 - 45,Other,0,1,0,0,0,-1,2014-01-11 05:27:12,2014-01-14 09:21:38,14000563MM10A,2014-01-11,,1,M,Battery,1,16000308MM30A,(M1),,2016-02-08,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-12,Risk of Violence,1,Low,2014-01-12,2014-01-11,2014-01-14,0,2,757,1,0,0 +9129,rennard robinson,rennard,robinson,2013-04-06,Male,1989-11-28,26,25 - 45,African-American,0,6,0,0,2,-1,2013-04-05 01:11:27,2013-05-08 08:21:55,13004922CF10A,2013-04-05,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-06,Risk of Violence,4,Low,2013-04-06,2013-04-05,2013-05-08,2,32,1091,0,0,0 +9131,isacc exumat,isacc,exumat,2013-10-21,Male,1995-08-18,20,Less than 25,Other,0,5,0,0,0,-1,2013-10-20 10:25:19,2013-10-21 07:52:13,13019859MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-21,Risk of Violence,6,Medium,2013-10-21,2013-10-20,2013-10-21,0,0,893,0,0,0 +9132,lori giglio,lori,giglio,2014-01-27,Female,1964-11-19,51,Greater than 45,Caucasian,0,5,0,0,7,-157,2013-08-23 03:55:46,2014-01-16 10:30:00,13011879CF10A,2013-08-23,,157,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-27,Risk of Violence,2,Low,2014-01-27,2013-08-23,2014-01-16,7,0,795,0,0,0 +9133,stacy dimitrakis,stacy,dimitrakis,2013-02-25,Female,1989-09-12,26,25 - 45,Caucasian,0,5,0,0,0,-4,2013-02-21 11:28:11,2013-02-22 01:51:52,13002658CF10A,2013-02-21,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-25,Risk of Violence,4,Low,2013-02-25,2013-02-21,2013-02-22,0,0,1131,0,0,0 +9136,lawrence joseph,lawrence,joseph,2013-03-27,Male,1989-07-18,26,25 - 45,African-American,0,4,0,0,5,-1,2013-03-26 06:03:04,2013-03-29 04:56:00,13004389CF10A,2013-03-26,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-27,Risk of Violence,3,Low,2013-03-27,2013-09-14,2013-09-14,5,2,171,0,0,0 +9143,matthew bonner,matthew,bonner,2013-12-06,Male,1995-11-01,20,Less than 25,Caucasian,0,2,0,2,0,-1,2013-12-05 11:38:15,2013-12-06 12:40:41,13016833CF10A,2013-12-05,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-06,Risk of Violence,6,Medium,2013-12-06,2013-12-05,2013-12-06,0,0,847,0,0,0 +9144,james bethea,james,bethea,2014-02-17,Male,1987-08-20,28,25 - 45,African-American,0,3,0,0,0,0,2014-02-17 01:46:34,2014-03-04 05:23:42,14002238CF10A,2014-02-17,,0,F,Criminal Mischief,1,14009075MM10A,(M1),0,2014-06-08,Battery,2014-06-08,2014-11-17,,1,14009075MM10A,(M1),2014-06-08,Battery,Risk of Recidivism,3,Low,2014-02-17,Risk of Violence,3,Low,2014-02-17,2014-06-08,2014-11-17,0,15,111,1,1,1 +9146,jasmine cureton,jasmine,cureton,2013-01-28,Female,1994-08-24,21,Less than 25,African-American,0,5,0,0,0,-4,2013-01-24 11:20:51,2013-01-25 02:16:47,13001720MM10A,2013-01-24,,4,M,Prostitution/Lewd Act Assignation,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-28,Risk of Violence,7,Medium,2013-01-28,2013-11-01,2013-11-02,0,0,277,0,0,0 +9147,makendy demard,makendy,demard,2013-05-03,Male,1990-06-01,25,25 - 45,Other,0,9,0,0,0,-1,2013-05-02 05:54:12,2013-05-03 11:02:07,13006329CF10A,2013-05-02,,1,F,Possession of Cocaine,1,13010418CF10A,(F1),0,2013-07-25,Robbery Firearm Wearing Mask,2013-07-25,2014-10-16,,1,13010418CF10A,(F7),2013-07-25,Burglary Dwelling Armed,Risk of Recidivism,9,High,2013-05-03,Risk of Violence,8,High,2013-05-03,2013-07-25,2014-10-16,0,0,83,1,1,1 +9148,christopher landsgard,christopher,landsgard,2013-10-27,Male,1985-10-02,30,25 - 45,Caucasian,0,3,0,0,0,-1,2013-10-26 11:37:22,2013-10-28 07:52:36,13014963CF10A,2013-10-26,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-27,Risk of Violence,2,Low,2013-10-27,2013-10-26,2013-10-28,0,1,887,0,0,0 +9150,evan blake,evan,blake,2013-10-21,Male,1995-02-27,21,Less than 25,Caucasian,0,9,2,7,2,-3,2013-10-18 01:25:21,2013-10-18 08:21:29,13014568CF10A,2013-10-17,,4,F,Possession of LSD,1,15001555MO10A,(MO3),0,2015-02-06,Poss Of Controlled Substance,2015-02-06,2015-02-07,,1,15015322CF10A,(F2),2015-11-28,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-10-21,Risk of Violence,9,High,2013-10-21,2015-02-06,2015-02-07,2,0,473,1,1,1 +9157,perry turner,perry,turner,2013-01-22,Male,1980-10-25,35,25 - 45,African-American,0,10,0,0,22,0,2013-01-22 04:07:47,2013-01-24 05:56:12,13001025CF10A,2013-01-22,,0,F,"Poss3,4 Methylenedioxymethcath",1,13021408TC10A,(M1),,2013-04-14,Opert With Susp DL 2nd Offens,,,,1,13023901MM10A,(M1),2013-12-28,Battery,Risk of Recidivism,10,High,2013-01-22,Risk of Violence,7,Medium,2013-01-22,2013-01-22,2013-01-24,22,2,82,1,1,1 +9159,kavin compton,kavin,compton,2013-01-09,Male,1966-01-12,50,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-01-08 03:16:14,2013-01-17 05:32:25,13000614CF10A,,2013-01-08,1,F,arrest case no charge,1,13002119CF10A,(M1),0,2013-02-11,Resist/Obstruct W/O Violence,2013-02-11,2014-03-03,,1,13002119CF10A,(F2),2013-02-11,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2013-01-09,Risk of Violence,1,Low,2013-01-09,2013-02-11,2014-03-03,2,8,33,1,1,1 +9160,eddie mitchell,eddie,mitchell,2013-04-14,Male,1990-08-29,25,25 - 45,African-American,0,9,0,0,5,-1,2013-04-13 10:35:00,2013-04-15 04:04:55,13003834MM10A,,2013-04-13,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-14,Risk of Violence,9,High,2013-04-14,2013-09-13,2013-10-16,5,1,152,0,0,0 +9161,rosanne morgan,rosanne,morgan,2013-01-24,Female,1968-03-25,48,Greater than 45,Caucasian,0,9,0,0,1,,,,12012241CF10A,,2012-09-21,125,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-01-24,Risk of Violence,2,Low,2013-01-24,,,1,0,1163,0,0,0 +9165,eric mckenzie,eric,mckenzie,2013-08-26,Male,1990-03-15,26,25 - 45,African-American,0,9,0,0,0,-1,2013-08-25 07:42:30,2013-08-26 07:55:00,13012006CF10A,2013-08-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-26,Risk of Violence,10,High,2013-08-26,2013-10-23,2013-12-20,0,0,58,0,0,0 +9166,nicholas fleming,nicholas,fleming,2013-05-22,Male,1993-04-22,22,Less than 25,African-American,0,4,0,0,0,-1,2013-05-21 04:56:17,2013-05-22 07:40:50,13007235CF10A,2013-05-21,,1,F,Purchase/P/W/Int Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-22,Risk of Violence,5,Medium,2013-05-22,2013-05-21,2013-05-22,0,0,1045,0,0,0 +9167,willie way,willie,way,2013-12-22,Male,1986-07-15,29,25 - 45,African-American,0,3,0,0,0,0,2013-12-22 03:48:00,2013-12-22 08:17:21,13017641CF10A,2013-12-22,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-22,Risk of Violence,3,Low,2013-12-22,2013-12-22,2013-12-22,0,0,831,0,0,0 +9170,emanoil fanea,emanoil,fanea,2013-01-12,Male,1963-09-13,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-11 10:25:43,2013-01-12 01:20:11,13000523CF10A,2013-01-11,,1,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-12,Risk of Violence,1,Low,2013-01-12,2013-01-11,2013-01-12,1,0,1175,0,0,0 +9172,lorenzo mckinney,lorenzo,mckinney,2013-10-29,Male,1994-06-17,21,Less than 25,African-American,0,7,0,0,0,-1,2013-10-28 10:17:17,2013-10-29 02:28:05,13015037CF10A,2013-10-28,,1,F,Possession of Cocaine,1,16000721CF10A,(F2),0,2016-01-18,Deliver Cocaine,2016-01-18,2016-01-26,,0,,,,,Risk of Recidivism,7,Medium,2013-10-29,Risk of Violence,7,Medium,2013-10-29,2016-01-18,2016-01-26,0,0,811,1,0,0 +9173,dalton lewis,dalton,lewis,2013-12-28,Male,1994-06-20,21,Less than 25,Caucasian,0,8,0,0,1,0,2013-12-28 02:53:59,2013-12-28 01:30:48,13017910CF10A,2013-12-27,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-28,Risk of Violence,6,Medium,2013-12-28,2013-12-28,2013-12-28,1,0,825,0,0,0 +9180,michael leslie,michael,leslie,2013-09-22,Male,1991-07-14,24,Less than 25,African-American,0,7,0,0,3,0,2013-09-22 05:19:47,2013-12-24 10:49:05,13013342CF10A,2013-09-22,,0,F,Aggrav Stalking After Injunctn,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-22,Risk of Violence,6,Medium,2013-09-22,2013-09-22,2013-12-24,3,93,922,0,0,0 +9183,doshan felix,doshan,felix,2013-05-15,Female,1985-06-22,30,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-14 09:22:05,2013-05-15 01:21:03,13009337MM10A,2013-05-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-15,Risk of Violence,2,Low,2013-05-15,2013-05-14,2013-05-15,0,0,1052,0,0,0 +9186,ernest ellison,ernest,ellison,2013-02-14,Male,1975-01-02,41,25 - 45,African-American,0,9,1,0,9,-1,2013-02-13 05:10:15,2013-02-15 05:30:02,11006631TC10A,2011-02-12,,733,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-14,Risk of Violence,6,Medium,2013-02-14,2013-02-13,2013-02-15,9,1,1142,0,0,0 +9188,ernesto panduro-rojas,ernesto,panduro-rojas,2013-01-18,Male,1962-10-26,53,Greater than 45,Hispanic,0,1,0,0,1,,,,12015942CF10A,2012-10-28,,82,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,,,1,0,1169,0,0,0 +9189,cletus day,cletus,day,2013-12-03,Male,1967-11-01,48,Greater than 45,Caucasian,0,2,0,0,6,-26,2013-11-07 12:05:05,2013-11-13 09:53:57,13017959CF10A,2013-11-06,,27,F,Fel Drive License Perm Revoke,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-03,Risk of Violence,1,Low,2013-12-03,2014-01-25,2014-01-30,6,0,53,0,0,0 +9192,kimberly ware,kimberly,ware,2013-02-18,Female,1982-03-17,34,25 - 45,African-American,0,1,0,0,1,-1,2013-02-17 07:32:38,2013-02-18 08:01:59,13003428MM10A,2013-02-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-18,Risk of Violence,1,Low,2013-02-18,2013-02-17,2013-02-18,1,0,1138,0,0,0 +9200,dennis jackson,dennis,jackson,2013-12-23,Male,1977-04-01,39,25 - 45,Other,0,4,0,0,1,,,,10015308CF10A,,2012-10-11,438,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-23,Risk of Violence,2,Low,2013-12-23,,,1,0,830,0,0,0 +9202,tina house,tina,house,2013-01-30,Female,1967-06-11,48,Greater than 45,Caucasian,0,8,0,0,17,,,,08015791CF10A,,2008-08-20,1624,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-30,Risk of Violence,5,Medium,2013-01-30,2006-04-19,2007-04-20,17,0,1157,0,0,0 +9203,jose avila,jose,avila,2013-04-15,Male,1984-07-24,31,25 - 45,Hispanic,0,7,0,0,1,583,2014-11-19 10:24:10,2014-11-25 08:38:47,11015474CF10A,,2011-11-20,512,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-15,Risk of Violence,2,Low,2013-04-15,2014-11-19,2014-11-25,1,0,583,0,0,0 +9205,oswaldo lucas,oswaldo,lucas,2013-04-26,Male,1989-08-10,26,25 - 45,Hispanic,0,2,0,0,0,,,,,,,,M,,1,13005940CF10A,(F3),,2015-12-14,Neglect Child / No Bodily Harm,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-26,Risk of Violence,3,Low,2013-04-26,2013-04-26,2013-04-27,0,1,962,1,0,0 +9207,albert hanna,albert,hanna,2013-12-18,Male,1991-03-16,25,25 - 45,African-American,0,2,0,0,1,0,2013-12-18 02:16:46,2013-12-18 08:23:35,13023416MM10A,2013-12-18,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-18,Risk of Violence,3,Low,2013-12-18,2013-12-18,2013-12-18,1,0,835,0,0,0 +9212,richard spitler,richard,spitler,2013-05-08,Male,1959-06-08,56,Greater than 45,Caucasian,0,1,0,0,6,-1,2013-05-07 09:00:57,2013-05-08 06:44:34,13008020CF10A,2013-05-07,,1,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-08,Risk of Violence,1,Low,2013-05-08,2013-05-07,2013-05-08,6,0,1059,0,0,0 +9214,ryan greenwood,ryan,greenwood,2013-04-03,Male,1993-01-23,23,Less than 25,African-American,0,4,0,0,0,0,2013-04-03 02:54:54,2013-04-03 09:43:32,13004794CF10A,2013-04-02,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-03,Risk of Violence,5,Medium,2013-04-03,2013-04-03,2013-04-03,0,0,1094,0,0,0 +9215,christopher lopez,christopher,lopez,2014-01-09,Male,1995-01-02,21,Less than 25,Caucasian,0,4,0,0,0,-1,2014-01-08 10:11:04,2014-01-09 12:48:56,14000342CF10A,2014-01-08,,1,M,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-09,Risk of Violence,6,Medium,2014-01-09,2014-01-08,2014-01-09,0,0,813,0,0,0 +9216,dagobret schmalhaus,dagobret,schmalhaus,2013-08-19,Male,1949-12-21,66,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-18 08:34:53,2013-08-20 07:37:33,13015626MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-20,0,1,956,0,0,0 +9219,marcus albritton,marcus,albritton,2013-03-21,Male,1987-12-21,28,25 - 45,African-American,0,7,0,0,7,-1,2013-03-20 06:48:40,2013-03-21 01:37:15,13005471MM10A,2013-03-20,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-21,Risk of Violence,4,Low,2013-03-21,2013-07-31,2013-09-21,7,0,132,0,0,0 +9220,jonathan olazabal,jonathan,olazabal,2013-12-24,Male,1986-07-23,29,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-24 04:19:53,2013-12-24 01:22:49,13023712MM10A,2013-12-24,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-24,Risk of Violence,1,Low,2013-12-24,2013-12-24,2013-12-24,0,0,829,0,0,0 +9224,martin espinoza,martin,espinoza,2014-01-06,Male,1977-02-27,39,25 - 45,Caucasian,0,1,0,0,0,-1,2014-01-05 05:46:37,2014-01-06 08:24:58,14000198CF10A,2014-01-05,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-06,Risk of Violence,1,Low,2014-01-06,2014-01-05,2014-01-06,0,0,816,0,0,0 +9227,jeremy pelehowski,jeremy,pelehowski,2013-03-28,Male,1985-03-24,31,25 - 45,Caucasian,0,2,0,0,1,-1,2013-03-27 02:03:43,2013-03-28 07:56:52,13003957CF10A,,2013-03-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-28,Risk of Violence,2,Low,2013-03-28,2013-03-27,2013-03-28,1,0,1100,0,0,0 +9229,jason olreidge,jason,olreidge,2013-02-17,Male,1994-03-08,22,Less than 25,African-American,0,8,0,0,0,-1,2013-02-16 11:06:26,2013-04-11 08:20:14,13003371MM10A,2013-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-17,Risk of Violence,6,Medium,2013-02-17,2013-02-16,2013-04-11,0,53,1139,0,0,0 +9230,shannon santamaria,shannon,santamaria,2013-10-25,Female,1993-10-14,22,Less than 25,Caucasian,0,5,0,0,0,-1,2013-10-24 03:53:21,2013-10-25 02:25:57,13020162MM10A,2013-10-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2013-10-24,2013-10-25,0,0,889,0,0,0 +9231,jassen lamparter,jassen,lamparter,2013-09-25,Male,1980-07-23,35,25 - 45,Caucasian,0,4,0,2,3,0,2013-09-25 01:21:21,2013-09-26 04:17:22,13013448CF10A,2013-09-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-25,Risk of Violence,1,Low,2013-09-25,2013-09-25,2013-09-26,3,1,919,0,0,0 +9233,channel medina,channel,medina,2014-01-11,Female,1978-09-17,37,25 - 45,African-American,0,5,0,0,0,,,,14000479CF10A,2014-01-11,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-11,Risk of Violence,2,Low,2014-01-11,,,0,0,811,0,0,0 +9234,stephanie mclaurin,stephanie,mclaurin,2013-01-01,Female,1985-06-29,30,25 - 45,African-American,0,2,0,0,0,,,,13000005CF10A,2012-12-31,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-01,Risk of Violence,2,Low,2013-01-01,,,0,0,1186,0,0,0 +9235,fredrick grant,fredrick,grant,2013-01-18,Male,1960-03-06,56,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-17 10:28:39,2013-01-18 08:29:47,13004749CF10A,2013-01-17,,1,F,Felony/Driving Under Influence,1,15002735MM10A,(M1),0,2015-03-08,Battery,2015-03-08,2015-03-09,,1,15002735MM10A,(M1),2015-03-08,Battery,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2015-03-08,2015-03-09,1,0,779,1,0,0 +9238,zandra haywood,zandra,haywood,2014-01-26,Female,1981-12-20,34,25 - 45,African-American,0,1,0,0,0,-1,2014-01-25 09:03:48,2014-01-26 06:20:03,14001106CF10A,2014-01-25,,1,F,Poss Contr Subst W/o Prescript,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-26,Risk of Violence,1,Low,2014-01-26,2014-01-25,2014-01-26,0,0,796,0,0,0 +9241,douglas schnoor,douglas,schnoor,2013-09-14,Male,1972-08-06,43,25 - 45,Caucasian,0,1,0,0,2,-1,2013-09-13 09:19:12,2013-09-14 07:13:34,13012955CF10A,,2013-09-13,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-14,Risk of Violence,1,Low,2013-09-14,2013-09-13,2013-09-14,2,0,930,0,0,0 +9242,paul bergeron,paul,bergeron,2013-01-08,Male,1977-08-19,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-07 10:25:39,2013-01-08 09:34:17,13000412CF10A,2013-01-07,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-08,Risk of Violence,1,Low,2013-01-08,2013-01-07,2013-01-08,0,0,1179,0,0,0 +9243,shaun spells,shaun,spells,2013-03-11,Male,1976-12-08,39,25 - 45,Caucasian,0,3,0,0,3,-1,2013-03-10 07:57:29,2013-03-11 03:27:21,13003533CF10A,2013-03-10,,1,F,Poss Wep Conv Felon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-11,Risk of Violence,6,Medium,2013-03-11,2013-03-10,2013-03-11,3,0,1117,0,0,0 +9245,angelo armbrister,angelo,armbrister,2013-04-29,Male,1989-10-06,26,25 - 45,African-American,0,3,0,0,2,0,2013-04-29 12:50:46,2013-04-29 09:25:26,13008163MM10A,2013-04-29,,0,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-29,Risk of Violence,3,Low,2013-04-29,2013-04-29,2013-04-29,2,0,1068,0,0,0 +9246,kellie werba,kellie,werba,2014-01-24,Female,1960-11-25,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-23 09:15:43,2014-01-25 02:22:49,14001463MM10A,2014-01-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-23,2014-01-25,0,1,798,0,0,0 +9248,anthony bass,anthony,bass,2013-03-26,Male,1954-05-08,61,Greater than 45,African-American,0,7,0,0,25,-1,2013-03-25 01:22:14,2013-03-26 07:28:22,13004315CF10A,2013-03-25,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-26,Risk of Violence,4,Low,2013-03-26,2013-03-25,2013-03-26,25,0,1102,0,0,0 +9249,willy jean,willy,jean,2013-03-12,Male,1982-09-22,33,25 - 45,Other,0,1,0,0,0,-1,2013-03-11 12:27:40,2013-03-22 09:48:08,13004872MM10A,2013-03-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-12,Risk of Violence,2,Low,2013-03-12,2013-03-11,2013-03-22,0,10,1116,0,0,0 +9253,scott lara,scott,lara,2013-09-27,Male,1976-03-30,40,25 - 45,Caucasian,0,7,0,0,4,0,2013-09-27 01:04:37,2013-09-28 04:31:01,13013615CF10A,2013-09-26,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-27,Risk of Violence,7,Medium,2013-09-27,2013-12-12,2013-12-25,4,1,76,0,0,0 +9254,michael kinsey,michael,kinsey,2013-04-11,Male,1982-06-24,33,25 - 45,African-American,0,2,0,0,3,0,2013-04-11 01:37:03,2013-04-11 07:46:59,13005195CF10A,2013-04-10,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-11,Risk of Violence,1,Low,2013-04-11,2013-04-11,2013-04-11,3,0,1086,0,0,0 +9255,mark follen,mark,follen,2014-11-07,Male,1989-08-30,26,25 - 45,Caucasian,0,6,0,0,0,-1,2014-11-06 06:10:20,2014-11-07 08:40:38,14014921CF10A,2014-11-06,,1,F,Tamper With Witness/Victim/CI,1,15012061CF10A,(F7),,2015-09-17,Burglary Dwelling Assault/Batt,,,,1,15012061CF10A,(F7),2015-09-17,Burglary Dwelling Assault/Batt,Risk of Recidivism,6,Medium,2014-11-07,Risk of Violence,4,Low,2014-11-07,2014-11-06,2014-11-07,0,0,314,1,1,1 +9257,rodney hudson,rodney,hudson,2014-02-11,Male,1987-12-04,28,25 - 45,African-American,0,2,0,0,0,-1,2014-02-10 04:55:34,2014-02-11 01:42:01,14001882CF10A,2014-02-10,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-11,Risk of Violence,3,Low,2014-02-11,2014-02-10,2014-02-11,0,0,780,0,0,0 +9258,miguel vegarivera,miguel,vegarivera,2013-01-05,Male,1971-02-15,45,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-04 05:56:18,2013-01-05 07:57:29,13000216MM10A,2013-01-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-05,Risk of Violence,1,Low,2013-01-05,2013-01-04,2013-01-05,0,0,1182,0,0,0 +9260,diane karm,diane,karm,2013-03-15,Female,1958-08-10,57,Greater than 45,Caucasian,0,2,0,0,4,-1,2013-03-14 11:21:16,2013-11-27 06:50:42,13003224CF10A,,2013-03-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2013-03-14,2013-11-27,4,257,1113,0,0,0 +9261,michael sydnor,michael,sydnor,2013-09-29,Male,1989-08-27,26,25 - 45,African-American,0,7,0,0,3,-1,2013-09-28 06:05:10,2013-11-14 08:19:34,13013621CF10A,2013-09-28,,1,F,Aggravated Battery / Pregnant,1,14007413MM10A,(M1),0,2014-05-05,Battery,2014-05-05,2015-01-02,,1,14007413MM10A,(M1),2014-05-05,Battery,Risk of Recidivism,7,Medium,2013-09-29,Risk of Violence,9,High,2013-09-29,2014-05-05,2015-01-02,3,46,218,1,1,1 +9262,jim beausejour,jim,beausejour,2013-09-06,Male,1981-03-06,35,25 - 45,African-American,0,8,0,0,1,-1,2013-09-05 12:59:53,2013-09-06 01:34:22,13012537CF10A,2013-09-05,,1,F,False Imprisonment,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-05,2013-09-06,1,0,938,0,0,0 +9264,eusebio diaz acosta,eusebio,diaz acosta,2013-04-07,Male,1961-12-15,54,Greater than 45,Hispanic,0,1,0,0,0,0,2013-04-07 03:17:08,2013-04-09 07:14:08,13004979CF10A,2013-04-07,,0,F,Grand Theft in the 1st Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-07,Risk of Violence,1,Low,2013-04-07,2013-04-07,2013-04-09,0,2,1090,0,0,0 +9266,amina wong-cooper,amina,wong-cooper,2014-02-26,Female,1986-06-28,29,25 - 45,African-American,0,5,0,0,0,-1,2014-02-25 10:19:07,2014-02-28 09:41:33,14002682CF10A,2014-02-25,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-26,Risk of Violence,4,Low,2014-02-26,2014-02-25,2014-02-28,0,2,765,0,0,0 +9267,michelle kastner,michelle,kastner,2013-12-19,Female,1975-05-22,40,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-18 07:23:28,2013-12-19 09:39:49,13023426MM10A,2013-12-18,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-19,Risk of Violence,1,Low,2013-12-19,2013-12-18,2013-12-19,0,0,834,0,0,0 +9269,ashley morant,ashley,morant,2013-05-11,Female,1990-09-10,25,25 - 45,African-American,0,2,0,1,0,-1,2013-05-10 09:11:37,2013-05-11 07:06:19,13009087MM10A,2013-05-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-11,Risk of Violence,2,Low,2013-05-11,2013-05-10,2013-05-11,0,0,1056,0,0,0 +9270,johnnie robinson,johnnie,robinson,2013-05-16,Male,1971-08-19,44,25 - 45,African-American,0,6,0,0,3,-1,2013-05-15 09:10:58,2013-05-18 05:34:59,13028152TC10A,2013-05-15,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-16,Risk of Violence,5,Medium,2013-05-16,2013-07-10,2013-12-10,3,2,55,0,0,0 +9271,tyrone hawthorne,tyrone,hawthorne,2013-05-02,Male,1968-02-28,48,Greater than 45,Caucasian,0,1,0,0,1,-31,2013-04-01 03:29:17,2013-04-01 08:56:51,13006254MM10A,2013-04-01,,31,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-02,Risk of Violence,1,Low,2013-05-02,2013-04-01,2013-04-01,1,0,1065,0,0,0 +9272,ellan laflamme,ellan,laflamme,2014-02-28,Female,1956-08-11,59,Greater than 45,Caucasian,0,1,0,0,1,-302,2013-05-02 04:55:58,2013-07-01 11:42:55,13006298CF10A,2013-05-02,,302,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-28,Risk of Violence,1,Low,2014-02-28,2013-05-02,2013-07-01,1,0,763,0,0,0 +9275,johnson pierre,johnson,pierre,2013-10-19,Male,1986-06-12,29,25 - 45,African-American,0,2,0,0,0,-1,2013-10-18 10:11:46,2013-12-30 06:13:11,13014591CF10A,2013-10-18,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-19,Risk of Violence,2,Low,2013-10-19,2014-04-09,2014-04-17,0,72,172,0,0,0 +9276,leland mclaughlin,leland,mclaughlin,2013-08-19,Male,1960-01-15,56,Greater than 45,Caucasian,0,1,0,0,0,-4,2013-08-15 04:33:21,2013-08-15 09:09:29,13015481MM10A,2013-08-15,,4,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-15,2013-08-15,0,0,956,0,0,0 +9277,marcellie cabral,marcellie,cabral,2014-01-24,Female,1988-07-26,27,25 - 45,African-American,0,3,0,0,0,-1,2014-01-23 08:08:50,2014-01-24 10:07:59,14001280MM10A,2014-01-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-24,Risk of Violence,3,Low,2014-01-24,2014-01-23,2014-01-24,0,0,798,0,0,0 +9279,jerriann harris,jerriann,harris,2013-03-04,Female,1987-03-22,29,25 - 45,Caucasian,0,7,0,0,0,-1,2013-03-03 09:50:11,2013-03-04 08:09:45,13004894MM10A,2013-03-03,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-04,Risk of Violence,3,Low,2013-03-04,2013-03-03,2013-03-04,0,0,1124,0,0,0 +9280,rianna magee,rianna,magee,2013-11-12,Female,1981-10-01,34,25 - 45,Caucasian,0,4,0,0,4,-1,2013-11-11 07:15:49,2013-11-12 01:43:06,13021245MM10A,2013-11-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-12,Risk of Violence,2,Low,2013-11-12,2013-11-11,2013-11-12,4,0,871,0,0,0 +9282,samantha stsuria,samantha,stsuria,2013-01-15,Female,1994-01-07,22,Less than 25,African-American,0,7,0,0,0,0,2013-01-15 12:42:27,2013-01-15 02:11:49,13000637CF10A,2013-01-14,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-15,Risk of Violence,6,Medium,2013-01-15,2013-01-15,2013-01-15,0,0,1172,0,0,0 +9284,ulrike ballesteros,ulrike,ballesteros,2014-03-22,Male,1984-09-29,31,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-21 11:14:06,2014-03-24 04:48:24,14004005CF10A,2014-03-21,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-24,0,2,741,0,0,0 +9285,cynthia taylor,cynthia,taylor,2014-01-05,Male,1968-12-10,47,Greater than 45,African-American,0,2,0,0,3,-1,2014-01-04 11:28:11,2014-01-06 11:05:06,14000160CF10A,2014-01-04,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-05,Risk of Violence,1,Low,2014-01-05,2014-01-04,2014-01-06,3,1,817,0,0,0 +9288,savannah click,savannah,click,2013-09-23,Female,1995-05-25,20,Less than 25,Caucasian,0,4,0,0,1,-49,2013-08-05 12:08:50,2013-09-11 07:01:10,13010811CF10A,2013-08-04,,50,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-23,Risk of Violence,6,Medium,2013-09-23,2013-08-05,2013-09-11,1,0,921,0,0,0 +9292,stephen mcnair,stephen,mcnair,2013-08-10,Male,1976-08-31,39,25 - 45,African-American,0,9,0,0,4,-1,2013-08-09 07:48:19,2013-12-06 04:19:37,13011198CF10A,2013-08-09,,1,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-10,Risk of Violence,5,Medium,2013-08-10,2013-08-09,2013-12-06,4,118,965,0,0,0 +9295,carlos hernandez,carlos,hernandez,2013-09-06,Male,1985-07-18,30,25 - 45,Hispanic,0,2,0,0,2,-1,2013-09-05 07:52:06,2013-09-11 08:03:44,13012540CF10A,2013-09-05,,1,F,Possession of Hydromorphone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-06,Risk of Violence,2,Low,2013-09-06,2013-10-30,2013-11-06,2,5,54,0,0,0 +9297,melvin thirsty,melvin,thirsty,2013-10-11,Male,1954-10-15,61,Greater than 45,African-American,0,8,0,0,2,0,2013-10-11 12:18:27,2013-10-12 05:32:14,13019317MM10A,2013-10-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-11,Risk of Violence,10,High,2013-10-11,2013-10-11,2013-10-12,2,1,903,0,0,0 +9298,jorge pena,jorge,pena,2013-10-18,Male,1978-10-19,37,25 - 45,Hispanic,0,4,0,0,3,0,2013-10-18 02:04:41,2013-10-18 07:46:06,13019718MM10A,2013-10-18,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-18,Risk of Violence,3,Low,2013-10-18,2013-10-18,2013-10-18,3,0,896,0,0,0 +9299,roger goindoo,roger,goindoo,2014-05-17,Male,1977-08-03,38,25 - 45,Other,0,1,0,0,1,-1,2014-05-16 05:12:16,2014-05-17 09:27:02,14006807CF10A,2014-05-16,,1,F,Possession Of Alprazolam,1,15008628MM10A,(M1),0,2015-08-15,Battery,2015-08-15,2015-09-10,,1,15008628MM10A,(M1),2015-08-15,Battery,Risk of Recidivism,1,Low,2014-05-17,Risk of Violence,1,Low,2014-05-17,2015-08-15,2015-09-10,1,0,455,1,1,1 +9303,joseph mims,joseph,mims,2013-02-07,Male,1985-11-02,30,25 - 45,African-American,0,9,0,0,0,-1,2013-02-06 01:02:38,2013-02-07 07:22:44,13002696MM10A,2013-02-06,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-07,Risk of Violence,7,Medium,2013-02-07,2013-02-06,2013-02-07,0,0,1149,0,0,0 +9309,theova milfort,theova,milfort,2013-12-11,Male,1968-10-09,47,Greater than 45,Other,0,1,0,0,0,-1,2013-12-10 03:24:17,2013-12-12 03:36:20,13017101CF10A,2013-12-10,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-11,Risk of Violence,1,Low,2013-12-11,2013-12-10,2013-12-12,0,1,842,0,0,0 +9310,scott stiefeld,scott,stiefeld,2014-03-26,Male,1959-04-27,56,Greater than 45,Caucasian,0,1,0,0,5,-238,2013-07-31 04:46:16,2014-03-26 10:20:35,13010717CF10A,2013-07-31,,238,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2013-07-31,2014-03-26,5,0,737,0,0,0 +9311,maria davila-alvarez,maria,davila-alvarez,2014-03-12,Female,1957-06-09,58,Greater than 45,Hispanic,0,5,0,0,1,-345,2013-04-01 07:04:46,2013-04-02 06:38:55,13004655CF10A,,2013-10-30,133,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-12,Risk of Violence,3,Low,2014-03-12,2013-04-01,2013-04-02,1,0,751,0,0,0 +9319,theodore mullins,theodore,mullins,2013-09-05,Male,1987-08-07,28,25 - 45,African-American,0,6,0,0,12,-69,2013-06-28 06:03:06,2013-07-04 05:28:18,13012417MM10A,,2013-09-04,1,M,arrest case no charge,1,14003870MM10A,(M1),,2013-12-31,Possess Cannabis/20 Grams Or Less,,,,1,14006415MM10A,(M1),2014-03-12,Battery,Risk of Recidivism,6,Medium,2013-09-05,Risk of Violence,5,Medium,2013-09-05,2015-03-09,2015-04-16,12,0,117,1,1,1 +9320,glasford prehay,glasford,prehay,2013-03-28,Male,1956-07-27,59,Greater than 45,African-American,0,1,0,0,1,-1,2013-03-27 09:14:17,2013-05-29 06:13:48,13005992MM10A,2013-03-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-05-29,1,62,1100,0,0,0 +9323,randell williams,randell,williams,2013-09-23,Male,1993-01-04,23,Less than 25,Caucasian,0,9,1,0,4,-1,2013-09-22 01:06:45,2013-09-24 04:25:18,13018070MM10A,2013-09-22,,1,M,Assault,1,15004682MM10A,(M1),0,2015-04-24,Battery,2015-04-24,2015-04-27,,1,15004682MM10A,(M1),2015-04-24,Battery,Risk of Recidivism,9,High,2013-09-23,Risk of Violence,9,High,2013-09-23,2015-04-24,2015-04-27,4,1,578,1,1,1 +9328,fanny pena,fanny,pena,2014-01-31,Female,1975-03-15,41,25 - 45,Hispanic,0,1,0,0,0,-1,2014-01-30 06:22:27,2014-01-31 10:00:17,14001373CF10A,2014-01-30,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-31,Risk of Violence,1,Low,2014-01-31,2014-01-30,2014-01-31,0,0,791,0,0,0 +9332,miles kemp,miles,kemp,2013-09-11,Male,1994-04-12,22,Less than 25,African-American,0,7,0,0,0,-1,2013-09-10 08:06:30,2013-09-12 08:19:10,13012819CF10A,2013-09-10,,1,F,Purchase Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-11,Risk of Violence,7,Medium,2013-09-11,2014-11-25,2014-12-04,0,1,440,0,0,0 +9336,colin reddie,colin,reddie,2013-12-07,Male,1990-02-22,26,25 - 45,African-American,0,4,0,0,5,-1,2013-12-06 02:33:03,2013-12-07 01:40:08,13016912CF10A,2013-12-06,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-07,Risk of Violence,5,Medium,2013-12-07,2013-12-06,2013-12-07,5,0,846,0,0,0 +9337,gusdino zaren,gusdino,zaren,2014-02-07,Male,1971-09-07,44,25 - 45,Caucasian,0,5,0,0,1,0,2014-02-07 05:14:26,2014-02-09 01:53:51,14001756CF10A,2014-02-07,,0,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-07,Risk of Violence,2,Low,2014-02-07,2014-02-07,2014-02-09,1,2,784,0,0,0 +9338,norrissie howard,norrissie,howard,2014-03-01,Female,1981-10-07,34,25 - 45,African-American,0,1,0,0,0,-1,2014-02-28 07:07:16,2014-03-01 09:05:07,14003508MM10A,2014-02-28,,1,M,Battery,1,14016766MM10A,(M2),,2014-09-16,Criminal Mischief,,,,1,14016766MM10A,(M1),2014-09-16,Battery,Risk of Recidivism,1,Low,2014-03-01,Risk of Violence,1,Low,2014-03-01,2015-10-27,2015-10-28,0,0,199,1,1,1 +9343,eclaire salomon,eclaire,salomon,2013-02-09,Male,1986-07-10,29,25 - 45,African-American,0,9,0,0,8,-1,2013-02-08 07:03:27,2013-02-13 09:34:57,13006354TC10A,2012-12-06,,65,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-09,Risk of Violence,4,Low,2013-02-09,2015-02-27,2015-02-27,8,4,748,0,0,0 +9346,mallory williams,mallory,williams,2013-11-01,Female,1984-07-06,31,25 - 45,African-American,0,6,0,0,0,-5,2013-10-27 06:08:06,2013-10-31 09:28:56,13020378MM10A,2013-10-27,,5,M,Leaving Acc/Unattended Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-01,Risk of Violence,4,Low,2013-11-01,2013-10-27,2013-10-31,0,0,882,0,0,0 +9348,wesley fields,wesley,fields,2014-02-03,Male,1994-05-21,21,Less than 25,Caucasian,0,6,0,0,2,-10,2014-01-24 10:45:30,2014-01-25 02:10:25,14001079CF10A,,2014-01-24,10,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-03,Risk of Violence,5,Medium,2014-02-03,2014-01-24,2014-01-25,2,0,788,0,0,0 +9350,john gilhauley,john,gilhauley,2013-04-01,Male,1981-06-28,34,25 - 45,Caucasian,0,5,0,0,4,-1,2013-03-31 07:55:05,2013-04-01 03:57:54,13004629CF10A,2013-03-31,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-01,Risk of Violence,6,Medium,2013-04-01,2013-03-31,2013-04-01,4,0,1096,0,0,0 +9351,joe wallace,joe,wallace,2013-03-28,Male,1961-05-05,54,Greater than 45,African-American,0,6,0,0,21,-1,2013-03-27 09:35:33,2013-03-28 08:15:31,13004418CF10A,2013-03-27,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-03-28,21,0,1100,0,0,0 +9352,joey pierce,joey,pierce,2013-08-07,Male,1995-06-13,20,Less than 25,Caucasian,0,10,4,0,4,-1,2013-08-06 10:51:36,2013-08-07 08:37:58,13011017CF10A,2013-08-06,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-07,Risk of Violence,10,High,2013-08-07,2013-08-06,2013-08-07,4,0,968,0,0,0 +9353,james fox,james,fox,2014-07-04,Male,1984-08-03,31,25 - 45,Caucasian,0,3,0,0,1,-1,2014-07-03 10:01:59,2014-08-08 10:32:16,14009379CF10A,2014-07-03,,1,F,Stalking (Aggravated),1,14009443CF10A,(F3),,2014-07-08,Aggrav Stalking After Injunctn,,,,1,14015220CF10A,(F3),2014-11-01,Stalking (Aggravated),Risk of Recidivism,3,Low,2014-07-04,Risk of Violence,3,Low,2014-07-04,2014-07-03,2014-08-08,1,0,4,1,1,1 +9354,shayne maloney,shayne,maloney,2013-10-14,Male,1993-08-18,22,Less than 25,Caucasian,0,4,0,0,0,0,2013-10-14 04:47:15,2013-10-15 04:13:04,13019486MM10A,2013-10-14,,0,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-14,Risk of Violence,5,Medium,2013-10-14,2014-11-16,2014-11-25,0,1,398,0,0,0 +9357,dantonio frazier,dantonio,frazier,2014-03-23,Male,1979-10-26,36,25 - 45,African-American,0,4,0,0,6,-1,2014-03-22 09:43:58,2014-03-23 08:40:01,14005013MM10A,2014-03-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-23,Risk of Violence,1,Low,2014-03-23,2014-03-22,2014-03-23,6,0,740,0,0,0 +9359,daniel rauer,daniel,rauer,2013-07-09,Male,1979-10-29,36,25 - 45,Caucasian,0,1,0,0,3,,,,13019145TC10A,2013-03-15,,116,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-09,Risk of Violence,2,Low,2013-07-09,,,3,0,997,0,0,0 +9364,marcus beachem,marcus,beachem,2013-12-03,Male,1965-11-04,50,Greater than 45,African-American,0,8,0,0,15,-1,2013-12-02 07:48:03,2013-12-03 08:28:31,13022423MM10A,2013-12-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-12-03,Risk of Violence,4,Low,2013-12-03,2013-12-02,2013-12-03,15,0,850,0,0,0 +9366,mimmose nicolas,mimmose,nicolas,2013-05-10,Female,1966-11-12,49,Greater than 45,Other,0,1,0,0,0,-1,2013-05-09 09:53:21,2013-05-10 10:01:06,13008991MM10A,2013-05-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-10,Risk of Violence,1,Low,2013-05-10,2013-05-09,2013-05-10,0,0,1057,0,0,0 +9369,timothy bedford,timothy,bedford,2014-01-05,Male,1985-01-15,31,25 - 45,African-American,0,4,0,0,1,-1,2014-01-04 07:13:06,2014-01-05 08:45:51,13012809TC10A,2012-10-18,,444,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-05,Risk of Violence,2,Low,2014-01-05,2014-01-04,2014-01-05,1,0,817,0,0,0 +9372,leonard pell,leonard,pell,2013-08-28,Male,1995-03-16,21,Less than 25,African-American,1,9,0,1,2,-1,2013-08-27 05:04:38,2013-10-02 09:14:39,13004338CF10A,,2013-08-28,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-28,Risk of Violence,9,High,2013-08-28,2013-08-27,2013-10-02,2,35,947,0,0,0 +9376,westley mohammed,westley,mohammed,2013-11-12,Male,1986-12-09,29,25 - 45,Other,0,2,0,0,0,-1,2013-11-11 02:32:59,2013-11-12 08:34:16,13015696CF10A,2013-11-11,,1,F,Burglary Dwelling Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-12,Risk of Violence,3,Low,2013-11-12,2013-11-11,2013-11-12,0,0,871,0,0,0 +9377,andres power,andres,power,2013-01-06,Male,1955-01-13,61,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-01-05 11:02:01,2013-01-06 01:15:02,13000207CF10A,,2013-01-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-06,Risk of Violence,1,Low,2013-01-06,2013-01-05,2013-01-06,0,0,1181,0,0,0 +9378,mindy morris,mindy,morris,2014-01-15,Female,1990-08-06,25,25 - 45,Caucasian,0,9,0,0,2,16,2014-01-31 12:17:38,2014-02-01 09:34:23,13016686CF10A,2013-12-02,,44,F,Crim Use of Personal ID Info,1,14005763CF10A,(M1),0,2014-04-25,Resist/Obstruct W/O Violence,2014-04-25,2014-05-02,,1,14016017MM10A,(M1),2014-11-06,Battery,Risk of Recidivism,9,High,2014-01-15,Risk of Violence,7,Medium,2014-01-15,2014-01-31,2014-02-01,2,0,16,0,1,1 +9379,anisa kumar,anisa,kumar,2014-01-13,Female,1989-09-30,26,25 - 45,Other,0,2,0,0,1,-31,2013-12-13 11:08:32,2013-12-14 01:47:43,13017267CF10A,2013-12-13,,31,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-13,Risk of Violence,2,Low,2014-01-13,2013-12-13,2013-12-14,1,0,809,0,0,0 +9380,andy cruz,andy,cruz,2013-12-13,Male,1978-02-05,38,25 - 45,Caucasian,0,4,0,0,5,-1,2013-12-12 06:13:20,2013-12-13 08:38:01,13017206CF10A,2013-12-12,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-13,Risk of Violence,1,Low,2013-12-13,2013-12-12,2013-12-13,5,0,840,0,0,0 +9381,justin armstrong,justin,armstrong,2013-12-09,Male,1981-02-18,35,25 - 45,Caucasian,0,1,0,0,2,-1,2013-12-08 06:16:15,2013-12-09 01:38:42,13022700MM10A,2013-12-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-09,Risk of Violence,2,Low,2013-12-09,2013-12-08,2013-12-09,2,0,844,0,0,0 +9383,jeffrey fulton,jeffrey,fulton,2013-09-19,Male,1966-02-12,50,Greater than 45,African-American,0,5,0,0,10,-48,2013-08-02 12:44:24,2013-09-19 12:07:26,11016558CF10A,,2013-08-02,48,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-19,Risk of Violence,2,Low,2013-09-19,2014-03-17,2014-03-21,10,0,179,0,0,0 +9387,abel fernandez,abel,fernandez,2014-01-28,Male,1986-09-17,29,25 - 45,Caucasian,0,2,0,0,1,-18,2014-01-10 09:37:11,2014-01-13 07:58:10,11008191CF10A,,2014-01-10,18,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-28,Risk of Violence,3,Low,2014-01-28,2014-01-10,2014-01-13,1,0,794,0,0,0 +9388,jailton sousa,jailton,sousa,2014-01-21,Male,1969-09-14,46,Greater than 45,Caucasian,0,1,0,0,0,0,2014-01-21 04:33:26,2014-01-21 08:51:18,14000873CF10A,2014-01-21,,0,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,1,Low,2014-01-21,2014-01-21,2014-01-21,0,0,801,0,0,0 +9392,paul kitchen,paul,kitchen,2013-01-22,Male,1962-07-03,53,Greater than 45,Caucasian,0,5,0,0,1,-1,2013-01-21 11:09:46,2013-01-22 08:54:01,13001443MM10A,2013-01-21,,1,M,Battery,1,15004095CF10A,(F3),1,2015-03-27,Felony Battery (Dom Strang),2015-03-28,2015-03-30,,1,15004095CF10A,(F3),2015-03-27,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2013-01-22,Risk of Violence,5,Medium,2013-01-22,2015-03-28,2015-03-30,1,0,794,1,0,0 +9393,samantha feliciano,samantha,feliciano,2014-09-29,Female,1989-01-04,27,25 - 45,Caucasian,0,5,0,0,1,-1,2014-09-28 11:52:36,2014-10-24 01:15:25,14005473CF10A,,2014-09-29,0,F,arrest case no charge,1,15001621MM30A,(M1),170,2015-09-19,Battery,2016-03-07,2016-03-08,,1,15001621MM30A,(M1),2015-09-19,Battery,Risk of Recidivism,5,Medium,2014-09-29,Risk of Violence,5,Medium,2014-09-29,2014-09-28,2014-10-24,1,25,355,1,1,1 +9394,daniel weisberger,daniel,weisberger,2013-01-25,Male,1986-07-15,29,25 - 45,Caucasian,0,8,0,0,4,-2,2013-01-23 09:48:25,2013-01-24 02:08:07,13001078CF10A,2013-01-23,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-25,Risk of Violence,7,Medium,2013-01-25,2013-01-23,2013-01-24,4,0,1162,0,0,0 +9401,kenneth sabino,kenneth,sabino,2013-10-18,Male,1991-04-22,24,Less than 25,Caucasian,0,2,0,0,1,-1,2013-10-17 07:15:44,2013-10-18 08:16:42,13019708MM10A,2013-10-17,,1,M,Battery,1,15075250TC30A,(M2),,2015-11-11,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-18,Risk of Violence,3,Low,2013-10-18,2013-10-17,2013-10-18,1,0,754,1,0,0 +9407,leon manson,leon,manson,2013-08-27,Male,1975-11-08,40,25 - 45,African-American,0,7,0,0,20,-1,2013-08-26 05:08:09,2013-08-27 06:56:09,13012035CF10A,2013-08-26,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-27,Risk of Violence,4,Low,2013-08-27,2015-04-30,2015-08-10,20,0,611,0,0,0 +9412,storm palmer,storm,palmer,2013-03-04,Female,1980-01-09,36,25 - 45,African-American,0,1,0,0,1,-1,2013-03-03 09:45:21,2013-03-04 01:14:15,13004312MM10A,2013-03-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,2,Low,2013-03-04,2013-03-03,2013-03-04,1,0,1124,0,0,0 +9415,carlo marra,carlo,marra,2013-01-28,Male,1958-04-20,57,Greater than 45,Caucasian,0,1,0,0,7,-1,2013-01-27 07:37:35,2013-06-28 05:35:04,12017311CF10A,,2013-01-27,1,F,arrest case no charge,1,15058864TC40A,(M1),,2015-10-07,Opert With Susp DL 2nd Offens,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-28,Risk of Violence,1,Low,2013-01-28,2013-01-27,2013-06-28,7,151,982,1,0,0 +9416,ronald pierre,ronald,pierre,2013-10-10,Male,1989-09-12,26,25 - 45,African-American,0,5,0,0,1,-1,2013-10-09 07:03:47,2013-10-10 10:04:05,13011852CF10A,,2013-10-09,1,F,arrest case no charge,1,16007279TC20A,(M2),,2016-02-05,Fail Register Vehicle,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-10,Risk of Violence,4,Low,2013-10-10,2013-10-09,2013-10-10,1,0,848,1,0,0 +9420,gregory bishop,gregory,bishop,2013-05-10,Male,1989-06-30,26,25 - 45,African-American,0,3,0,1,2,-7,2013-05-03 04:10:54,2013-05-10 12:24:16,13006352CF10A,2013-05-03,,7,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-10,Risk of Violence,3,Low,2013-05-10,2013-05-03,2013-05-10,2,0,1057,0,0,0 +9425,aurelia coffey,aurelia,coffey,2014-01-30,Female,1967-09-19,48,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-29 06:04:45,2014-01-30 10:34:50,14001313CF10A,2014-01-29,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-30,Risk of Violence,1,Low,2014-01-30,2014-01-29,2014-01-30,0,0,792,0,0,0 +9428,george melbourne,george,melbourne,2013-04-20,Male,1963-07-12,52,Greater than 45,Caucasian,0,2,0,0,7,-1,2013-04-19 11:43:36,2013-04-20 08:15:31,13007601MM10A,2013-04-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-20,Risk of Violence,2,Low,2013-04-20,2013-04-19,2013-04-20,7,0,1077,0,0,0 +9433,grace harris,grace,harris,2013-05-01,Female,1972-09-20,43,25 - 45,African-American,0,1,0,0,0,-1,2013-04-30 03:49:28,2013-05-01 10:14:34,13008356MM10A,2013-04-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-01,Risk of Violence,1,Low,2013-05-01,2013-04-30,2013-05-01,0,0,1066,0,0,0 +9434,dorian fields,dorian,fields,2013-11-12,Male,1980-05-08,35,25 - 45,African-American,0,1,0,0,2,,,,13015684CF10A,2013-11-11,,1,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-12,Risk of Violence,1,Low,2013-11-12,,,2,0,871,0,0,0 +9435,tyler wright,tyler,wright,2013-08-01,Male,1992-01-05,24,Less than 25,Caucasian,0,5,0,0,3,0,2013-08-01 06:42:08,2013-09-06 03:32:31,13010743CF10A,2013-08-01,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-01,Risk of Violence,4,Low,2013-08-01,2014-08-18,2014-10-15,3,36,382,0,0,0 +9437,carlos garcia,carlos,garcia,2014-02-06,Male,1992-12-17,23,Less than 25,Hispanic,0,9,1,0,2,-1,2014-02-05 10:23:21,2014-02-28 01:40:43,14001630CF10A,2014-02-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-06,Risk of Violence,7,Medium,2014-02-06,2014-02-05,2014-02-28,2,22,785,0,0,0 +9438,william shaw,william,shaw,2013-05-30,Male,1959-12-26,56,Greater than 45,African-American,0,7,0,0,28,-69,2013-03-22 03:23:49,2013-05-21 11:03:28,13004184CF10A,2013-03-22,,69,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-30,Risk of Violence,4,Low,2013-05-30,2014-04-15,2014-05-06,28,0,320,0,0,0 +9440,barclay beljour,barclay,beljour,2014-02-03,Male,1994-07-20,21,Less than 25,African-American,0,5,0,0,0,0,2014-02-03 04:26:42,2014-02-03 08:48:36,14001510CF10A,2014-02-03,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-02-03,Risk of Violence,6,Medium,2014-02-03,2014-02-03,2014-02-03,0,0,788,0,0,0 +9444,jennifer smith,jennifer,smith,2013-10-28,Female,1990-12-08,25,25 - 45,Caucasian,0,5,0,0,0,0,2013-10-28 04:36:41,2013-10-29 02:20:00,13015040CF10A,2013-10-28,,0,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-28,Risk of Violence,3,Low,2013-10-28,2014-11-26,2014-12-09,0,1,394,0,0,0 +9446,lucien antoine,lucien,antoine,2014-01-30,Male,1984-07-08,31,25 - 45,Other,0,6,0,0,3,,,,14001305CF10A,2014-01-29,,1,F,Felony Driving While Lic Suspd,1,16000672MM20A,(M1),,2016-03-08,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-30,Risk of Violence,3,Low,2014-01-30,,,3,0,768,1,0,0 +9448,matthew whittington,matthew,whittington,2013-01-18,Male,1970-02-13,46,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-01-17 12:41:20,2013-01-18 01:52:16,13001123MO10A,2013-01-16,,2,M,DOC/Cause Public Danger,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-18,Risk of Violence,3,Low,2013-01-18,2013-01-17,2013-01-18,0,0,1169,0,0,0 +9450,kasha matthews,kasha,matthews,2013-04-20,Female,1991-06-04,24,Less than 25,African-American,0,7,0,0,0,0,2013-04-20 04:53:06,2013-04-22 05:17:41,13005677CF10A,,2013-04-20,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-20,Risk of Violence,4,Low,2013-04-20,2015-07-30,2015-08-06,0,2,831,0,0,0 +9459,ruslan delgado,ruslan,delgado,2013-01-14,Male,1991-12-31,24,Less than 25,Other,0,3,0,0,0,0,2013-01-14 03:09:07,2013-01-14 06:34:18,13000906MM10A,2013-01-14,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-14,Risk of Violence,4,Low,2013-01-14,2013-01-14,2013-01-14,0,0,1173,0,0,0 +9460,carlos martinez,carlos,martinez,2013-02-01,Male,1975-10-26,40,25 - 45,Hispanic,0,3,0,0,0,0,2013-02-01 02:35:40,2013-02-01 01:46:17,13002368MM10A,2013-02-01,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-02-01,2013-02-01,0,0,1155,0,0,0 +9461,julio rodriguez,julio,rodriguez,2014-02-10,Male,1980-03-26,36,25 - 45,Hispanic,0,2,0,0,1,0,2014-02-10 03:17:30,2014-02-10 08:03:23,14002291MM10A,2014-02-10,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-10,Risk of Violence,1,Low,2014-02-10,2014-02-10,2014-02-10,1,0,781,0,0,0 +9463,oscar perez-godinez,oscar,perez-godinez,2013-10-22,Male,1982-10-09,33,25 - 45,Hispanic,0,1,0,0,1,,,,13016916TC10A,2013-03-17,,219,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,,,1,0,892,0,0,0 +9464,clifton hiott,clifton,hiott,2013-05-07,Male,1991-08-14,24,Less than 25,Caucasian,0,2,0,0,0,0,2013-05-07 03:24:59,2013-05-08 03:17:44,13008836MM10A,2013-05-07,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-07,Risk of Violence,3,Low,2013-05-07,2013-05-07,2013-05-08,0,1,1060,0,0,0 +9465,herman holmes,herman,holmes,2013-05-27,Female,1961-01-08,55,Greater than 45,African-American,0,1,0,0,2,-1,2013-05-26 09:39:19,2013-05-27 12:50:46,13007510CF10A,2013-05-26,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-27,Risk of Violence,1,Low,2013-05-27,2013-05-26,2013-05-27,2,0,1040,0,0,0 +9473,david smith,david,smith,2013-08-07,Male,1977-05-08,38,25 - 45,African-American,0,7,0,0,14,-1,2013-08-06 04:46:34,2013-10-01 08:40:14,13011030CF10A,2013-08-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-07,Risk of Violence,3,Low,2013-08-07,2015-09-19,2015-09-28,14,55,773,0,0,0 +9475,bryan mcdougle,bryan,mcdougle,2013-09-04,Male,1985-04-12,31,25 - 45,African-American,0,1,0,0,1,-1,2013-09-03 07:13:09,2013-09-04 12:44:15,13012444CF10A,2013-09-03,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-04,Risk of Violence,2,Low,2013-09-04,2013-09-03,2013-09-04,1,0,940,0,0,0 +9476,jaimie peterson,jaimie,peterson,2014-01-12,Female,1986-01-02,30,25 - 45,African-American,0,2,0,0,3,-1,2014-01-11 06:56:43,2014-01-12 02:17:00,14000484CF10A,2014-01-11,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-12,Risk of Violence,2,Low,2014-01-12,2014-01-11,2014-01-12,3,0,810,0,0,0 +9479,frenel cajilus,frenel,cajilus,2013-03-14,Male,1963-06-11,52,Greater than 45,Caucasian,0,1,0,0,1,714,2015-02-26 03:25:51,2015-04-07 06:16:49,09018555CF10A,,2012-12-10,94,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-14,Risk of Violence,1,Low,2013-03-14,2015-02-26,2015-04-07,1,0,714,0,0,0 +9483,jack darlington,jack,darlington,2014-06-18,Male,1979-04-01,37,25 - 45,African-American,0,8,0,0,16,-1,2014-06-17 01:17:25,2014-06-19 03:41:00,14008372CF10A,,2014-06-17,1,F,arrest case no charge,1,15007065MM10A,(M1),,2015-06-13,Battery,,,,1,15007065MM10A,(M1),2015-06-13,Battery,Risk of Recidivism,8,High,2014-06-18,Risk of Violence,3,Low,2014-06-18,2014-08-21,2015-01-04,16,1,64,0,1,1 +9484,leslie slager,leslie,slager,2013-01-14,Female,1974-11-20,41,25 - 45,Caucasian,0,2,0,0,1,0,2013-01-14 02:19:29,2013-02-12 05:24:53,13000872MM10A,2013-01-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-14,Risk of Violence,1,Low,2013-01-14,2013-01-14,2013-02-12,1,29,1173,0,0,0 +9486,akeel franklin,akeel,franklin,2014-01-31,Male,1995-09-25,20,Less than 25,African-American,0,5,0,0,0,-1,2014-01-30 01:49:49,2014-01-31 01:46:52,14001350CF10A,2014-01-30,,1,F,Deliver Cannabis 1000FTSch,1,14010545MM10A,(M1),0,2014-07-09,Possess Cannabis/20 Grams Or Less,2014-07-09,2014-07-10,,1,16001450CF10A,(F3),2016-02-03,Aggravated Assault w/Firearm,Risk of Recidivism,5,Medium,2014-01-31,Risk of Violence,7,Medium,2014-01-31,2014-07-09,2014-07-10,0,0,159,1,1,1 +9491,erik manning,erik,manning,2013-12-05,Male,1993-12-03,22,Less than 25,Caucasian,0,5,0,0,1,0,2013-12-05 12:27:40,2013-12-14 11:44:15,13022562MM10A,2013-12-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-05,Risk of Violence,5,Medium,2013-12-05,2013-12-05,2013-12-14,1,9,848,0,0,0 +9492,clinton stoney,clinton,stoney,2013-03-28,Male,1978-01-20,38,25 - 45,African-American,0,6,0,0,7,-1,2013-03-27 11:16:50,2013-10-11 06:18:15,13005976MM10A,2013-03-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-28,Risk of Violence,8,High,2013-03-28,2013-03-27,2013-10-11,7,197,1100,0,0,0 +9493,benjamin hines,benjamin,hines,2013-08-30,Male,1984-11-02,31,25 - 45,African-American,0,5,0,0,0,-1,2013-08-29 03:49:10,2013-09-06 04:06:56,13012234CF10A,2013-08-29,,1,F,Forging Bank Bills/Promis Note,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-30,Risk of Violence,2,Low,2013-08-30,2013-08-29,2013-09-06,0,7,945,0,0,0 +9494,kiyoshi tanaka-bustios,kiyoshi,tanaka-bustios,2013-08-16,Male,1987-08-31,28,25 - 45,Caucasian,0,7,0,0,0,0,2013-08-16 12:31:49,2013-10-09 03:10:07,13011476CF10A,2013-08-15,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-08-16,Risk of Violence,4,Low,2013-08-16,2014-03-28,2014-04-28,0,54,224,0,0,0 +9495,joseph magana,joseph,magana,2014-10-13,Male,1994-07-01,21,Less than 25,Hispanic,0,7,1,0,2,-1,2014-10-12 11:11:46,2014-10-15 01:25:15,14013787CF10A,2014-10-12,,1,F,Burglary Dwelling Occupied,1,15007339MM10A,(M1),0,2015-07-09,Battery,2015-07-09,2015-07-10,,1,15007339MM10A,(M1),2015-07-09,Battery,Risk of Recidivism,7,Medium,2014-10-13,Risk of Violence,8,High,2014-10-13,2015-07-09,2015-07-10,2,2,269,1,1,1 +9497,jonnie ferris,jonnie,ferris,2013-03-30,Male,1976-10-19,39,25 - 45,African-American,0,8,0,0,1,-1,2013-03-29 11:09:55,2013-03-30 10:17:01,13004518CF10A,2013-03-29,,1,F,Unlawful Conveyance of Fuel,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-30,Risk of Violence,4,Low,2013-03-30,2013-03-29,2013-03-30,1,0,1098,0,0,0 +9500,christopher clingan,christopher,clingan,2013-01-16,Male,1984-02-07,32,25 - 45,Caucasian,0,2,1,0,2,293,2013-11-05 12:58:38,2014-01-14 10:00:00,12003600CF10A,,2012-07-21,179,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-01-16,Risk of Violence,2,Low,2013-01-16,2013-11-05,2014-01-14,2,0,293,0,0,0 +9501,mikrko casalino,mikrko,casalino,2014-03-31,Male,1970-06-19,45,Greater than 45,Hispanic,0,1,0,0,0,0,2014-03-31 01:28:27,2014-04-01 04:42:33,14005510MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-31,2014-04-01,0,1,732,0,0,0 +9504,charles mcintyre,charles,mcintyre,2013-03-08,Male,1979-11-16,36,25 - 45,African-American,0,5,0,2,7,-32,2013-02-04 12:18:13,2013-02-12 09:47:40,12012106CF10A,,2013-02-04,32,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-08,Risk of Violence,5,Medium,2013-03-08,2015-06-22,2015-06-29,7,0,836,0,0,0 +9509,joe porter,joe,porter,2014-09-19,Male,1989-01-30,27,25 - 45,African-American,0,7,0,0,9,-1,2014-09-18 08:58:45,2014-09-19 01:56:48,14012675CF10A,2014-09-18,,1,F,Poss Contr Subst W/o Prescript,1,14016419MM10A,(M2),0,2014-11-03,Trespass Structure/Conveyance,2014-11-03,2014-12-13,,1,15013027MM10A,(M1),2015-12-16,Battery,Risk of Recidivism,7,Medium,2014-09-19,Risk of Violence,6,Medium,2014-09-19,2014-11-03,2014-12-13,9,0,45,1,1,1 +9511,richar ayme,richar,ayme,2014-03-06,Male,1985-12-01,30,25 - 45,Hispanic,0,1,0,0,0,0,2014-03-06 02:54:16,2014-03-06 08:15:55,14003189CF10A,,2014-03-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-06,Risk of Violence,2,Low,2014-03-06,2014-03-06,2014-03-06,0,0,757,0,0,0 +9512,barry downs,barry,downs,2013-03-12,Male,1954-08-06,61,Greater than 45,African-American,0,6,0,0,8,-35,2013-02-05 03:29:55,2013-03-12 01:00:44,13001758CF10A,,2013-03-01,11,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-12,Risk of Violence,3,Low,2013-03-12,2013-02-05,2013-03-12,8,0,1116,0,0,0 +9513,arealious grier,arealious,grier,2013-04-04,Male,1973-03-21,43,25 - 45,African-American,0,1,0,0,2,0,2013-04-04 09:42:56,2013-04-05 06:24:43,13004836CF10A,,2013-04-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-04,Risk of Violence,1,Low,2013-04-04,2013-04-04,2013-04-05,2,1,1093,0,0,0 +9515,vilardin cleophar,vilardin,cleophar,2013-10-12,Male,1989-06-08,26,25 - 45,African-American,0,4,0,0,1,-1,2013-10-11 09:46:40,2013-10-12 07:56:28,13014265CF10A,2013-10-11,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-12,Risk of Violence,3,Low,2013-10-12,2013-10-11,2013-10-12,1,0,902,0,0,0 +9516,oneil nelson,oneil,nelson,2013-02-11,Male,1983-05-26,32,25 - 45,African-American,0,2,3,0,7,-1,2013-02-10 09:25:19,2013-02-15 10:47:40,13001964CF10A,,2013-02-10,1,F,arrest case no charge,1,15033489TC40A,(M2),,2015-06-05,Driving License Suspended,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,2,Low,2013-02-11,2014-10-17,2014-10-23,7,4,613,0,0,0 +9517,cindy sutton,cindy,sutton,2013-11-26,Female,1958-09-19,57,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-11-25 07:35:42,2013-11-26 02:01:58,13016393CF10A,2013-11-25,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-26,Risk of Violence,1,Low,2013-11-26,2013-11-25,2013-11-26,2,0,857,0,0,0 +9518,paola collado-izquierdo,paola,collado-izquierdo,2013-03-01,Female,1975-11-09,40,25 - 45,Caucasian,0,1,0,0,0,0,2013-03-01 05:42:22,2013-03-01 07:38:56,13004237MM10A,2013-03-01,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-01,0,0,1127,0,0,0 +9524,andrew tarr,andrew,tarr,2013-03-19,Male,1986-06-28,29,25 - 45,Caucasian,0,10,0,0,1,-1,2013-03-18 01:24:18,2013-03-29 06:02:35,13008447TC10A,2013-01-17,,61,M,Leave Acc/Attend Veh/More $50,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-03-19,Risk of Violence,10,High,2013-03-19,2013-03-31,2013-03-31,1,10,12,0,0,0 +9526,crystal rushton,crystal,rushton,2013-09-18,Female,1994-12-30,21,Less than 25,Caucasian,0,8,0,0,1,132,2014-01-28 12:54:25,2014-01-28 08:41:49,13006615CF10A,,2013-05-03,138,F,arrest case no charge,1,16000990CF10A,(F3),0,2016-01-24,Possession of Cannabis,2016-01-24,2016-01-25,,0,,,,,Risk of Recidivism,8,High,2013-09-18,Risk of Violence,9,High,2013-09-18,2014-01-28,2014-01-28,1,0,132,0,0,0 +9527,bernard edwards,bernard,edwards,2013-03-01,Male,1979-12-05,36,25 - 45,African-American,0,2,0,0,2,-4,2013-02-25 02:38:41,2013-02-25 08:51:02,13003939MM10A,2013-02-25,,4,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-01,Risk of Violence,2,Low,2013-03-01,2013-02-25,2013-02-25,2,0,1127,0,0,0 +9528,reginald rasbin,reginald,rasbin,2013-12-06,Male,1957-02-17,59,Greater than 45,African-American,0,4,0,0,17,-189,2013-05-31 10:37:30,2013-11-26 02:03:49,12012979CF10A,2012-08-30,,463,F,Fail Register Career Offender,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-06,Risk of Violence,4,Low,2013-12-06,2014-08-11,2014-11-12,17,0,248,0,0,0 +9529,baretta butler,baretta,butler,2013-03-29,Male,1981-03-25,35,25 - 45,African-American,0,8,0,0,6,0,2013-03-29 10:59:47,2013-03-30 08:37:52,13003084CF10A,,2013-03-29,0,F,arrest case no charge,1,13023261MM10A,(M1),194,2013-10-02,Possess Cannabis/20 Grams Or Less,2014-04-14,2014-04-22,,1,15015721CF10A,(F3),2015-10-01,Child Abuse,Risk of Recidivism,8,High,2013-03-29,Risk of Violence,5,Medium,2013-03-29,2013-03-29,2013-03-30,6,1,187,1,1,1 +9530,robson figueiredo,robson,figueiredo,2013-05-22,Male,1966-06-02,49,Greater than 45,Hispanic,0,2,0,0,0,-1,2013-05-21 07:55:37,2013-05-22 08:28:30,13009808MM10A,2013-05-21,,1,M,Viol Injunction Protect Dom Vi,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-22,Risk of Violence,1,Low,2013-05-22,2013-05-21,2013-05-22,0,0,1045,0,0,0 +9532,shakime brown,shakime,brown,2014-08-22,Male,1994-06-13,21,Less than 25,African-American,0,5,1,0,2,-1,2014-08-21 08:49:51,2014-08-29 11:56:42,14011439CF10A,2014-08-21,,1,F,Aggravated Assault w/Firearm,1,15006778MM10A,(M1),101,2015-02-14,Battery,2015-05-26,2015-12-09,,1,15006778MM10A,(M1),2015-02-14,Battery,Risk of Recidivism,5,Medium,2014-08-22,Risk of Violence,5,Medium,2014-08-22,2014-08-21,2014-08-29,2,7,176,1,1,1 +9535,wilberto alegria,wilberto,alegria,2013-06-28,Male,1993-01-14,23,Less than 25,Hispanic,0,10,0,0,1,87,2013-09-23 03:34:18,2014-03-19 10:17:00,12000821CF10A,,2013-01-14,165,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-06-28,Risk of Violence,9,High,2013-06-28,2013-09-23,2014-03-19,1,0,87,0,0,0 +9537,angel serrano,angel,serrano,2013-05-28,Male,1982-07-18,33,25 - 45,Hispanic,0,2,0,0,0,-1,2013-05-27 09:13:22,2013-05-28 01:06:08,13010167MM10A,2013-05-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-05-27,2013-05-28,0,0,1039,0,0,0 +9538,marlon jackson,marlon,jackson,2013-03-08,Male,1995-07-26,20,Less than 25,African-American,1,3,0,0,1,39,2013-04-16 01:55:09,2013-05-24 01:42:34,11019971CF10A,,2011-12-29,435,F,arrest case no charge,1,14007680MM10A,(M1),0,2014-05-09,Resist/Obstruct W/O Violence,2014-05-09,2014-06-20,,1,16001515CF10A,(F3),2016-02-04,Aggravated Assault w/Firearm,Risk of Recidivism,3,Low,2013-03-08,Risk of Violence,6,Medium,2013-03-08,2013-04-16,2013-05-24,1,0,39,0,1,1 +9539,joshua soden,joshua,soden,2013-05-03,Male,1987-10-01,28,25 - 45,Caucasian,0,10,0,0,1,-39,2013-03-25 11:45:08,2013-04-08 12:57:06,13000592CF10A,,2013-03-25,39,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-05-03,Risk of Violence,10,High,2013-05-03,2013-03-25,2013-04-08,1,0,1064,0,0,0 +9545,tommy walden,tommy,walden,2013-01-06,Male,1960-10-04,55,Greater than 45,African-American,0,4,0,0,5,-1,2013-01-05 05:44:55,2013-11-02 04:12:16,13002948CF10A,2013-01-05,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-06,Risk of Violence,3,Low,2013-01-06,2013-01-05,2013-11-02,5,300,1181,0,0,0 +9547,gustavo sanchez,gustavo,sanchez,2013-04-20,Male,1989-11-22,26,25 - 45,Caucasian,0,4,0,0,0,-1,2013-04-19 05:42:16,2013-04-20 07:58:27,13007597MM10A,2013-04-18,,2,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,4,Low,2013-04-20,2013-04-19,2013-04-20,0,0,1077,0,0,0 +9548,kim anthony,kim,anthony,2013-02-12,Female,1963-11-29,52,Greater than 45,Caucasian,0,1,0,0,6,-13,2013-01-30 12:51:16,2013-02-06 09:57:29,12018456CF10A,,2013-01-30,13,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-12,Risk of Violence,1,Low,2013-02-12,2014-12-22,2015-02-16,6,0,678,0,0,0 +9550,vincent stanley,vincent,stanley,2013-08-30,Male,1963-06-29,52,Greater than 45,African-American,0,8,0,0,16,-1,2013-08-29 11:56:07,2013-08-30 08:01:33,13011094CF10A,,2013-08-29,1,F,arrest case no charge,1,15003009CF10A,(F6),,2015-03-04,Murder in the First Degree,,,,1,15003009CF10A,(F6),2015-03-04,Murder in the First Degree,Risk of Recidivism,8,High,2013-08-30,Risk of Violence,5,Medium,2013-08-30,2013-08-29,2013-08-30,16,0,551,1,1,1 +9553,gabriel cerenzia,gabriel,cerenzia,2013-09-07,Male,1955-11-21,60,Greater than 45,Caucasian,0,2,0,0,2,-1,2013-09-06 10:11:34,2013-09-17 06:28:32,13017049MM10A,2013-09-06,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-06,2013-09-17,2,10,937,0,0,0 +9554,scott konija,scott,konija,2013-08-26,Male,1971-11-12,44,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-25 06:20:12,2013-08-27 08:52:06,13016462MM10A,2013-08-25,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-26,Risk of Violence,1,Low,2013-08-26,2013-08-25,2013-08-27,0,1,949,0,0,0 +9556,eriam penate,eriam,penate,2013-08-15,Male,1985-06-25,30,25 - 45,Hispanic,0,2,0,0,1,-18,2013-07-28 11:05:35,2013-08-14 11:25:00,13010573CF10A,2013-07-28,,18,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-15,Risk of Violence,2,Low,2013-08-15,2013-07-28,2013-08-14,1,0,960,0,0,0 +9557,josha singletary,josha,singletary,2014-03-19,Female,1990-07-28,25,25 - 45,African-American,0,4,0,0,2,-1,2014-03-18 07:02:52,2014-03-19 01:20:36,14004716MM10A,2014-03-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-19,Risk of Violence,4,Low,2014-03-19,2014-03-18,2014-03-19,2,0,744,0,0,0 +9562,dematris symonette,dematris,symonette,2013-03-07,Male,1976-12-03,39,25 - 45,African-American,0,4,0,0,3,-39,2013-01-27 03:35:19,2013-03-06 10:25:56,13001924MM10A,2013-01-26,,40,M,Battery,1,15005447MM10A,(M1),0,2015-05-18,Viol Injunct Domestic Violence,2015-05-18,2015-07-27,,0,,,,,Risk of Recidivism,4,Low,2013-03-07,Risk of Violence,2,Low,2013-03-07,2015-04-15,2015-04-20,3,0,769,0,0,0 +9563,michael cerniglia,michael,cerniglia,2013-08-15,Male,1993-07-19,22,Less than 25,Caucasian,0,6,0,0,1,-12,2013-08-03 12:26:02,2013-08-15 10:46:30,13010921CF10A,2013-08-02,,13,F,Solicitation On Felony 3 Deg,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-15,Risk of Violence,4,Low,2013-08-15,2015-03-02,2015-04-02,1,0,564,0,0,0 +9567,nancy brewer,nancy,brewer,2013-03-08,Female,1987-06-05,28,25 - 45,African-American,0,3,0,0,0,-1,2013-03-07 05:06:49,2013-09-14 05:58:00,13003404CF10A,2013-03-07,,1,F,Arson in the First Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-08,Risk of Violence,4,Low,2013-03-08,2014-01-22,2014-01-28,0,190,320,0,0,0 +9569,christian giraldo,christian,giraldo,2013-09-30,Male,1985-11-02,30,25 - 45,Caucasian,0,1,0,0,0,0,2013-09-30 03:43:29,2013-09-30 08:10:01,13018598MM10A,2013-09-30,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-30,Risk of Violence,2,Low,2013-09-30,2013-09-30,2013-09-30,0,0,914,0,0,0 +9574,gibrian wilson,gibrian,wilson,2013-04-25,Male,1976-08-22,39,25 - 45,African-American,0,5,0,0,9,0,2013-04-25 02:54:02,2013-04-25 08:07:19,13005941CF10A,2013-04-25,,0,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-25,2013-04-25,9,0,1072,0,0,0 +9576,foufoune junior,foufoune,junior,2013-09-10,Female,1969-10-16,46,Greater than 45,Other,0,1,0,0,1,-1,2013-09-09 10:34:11,2013-09-10 07:10:48,13002945CF10A,,2013-09-09,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-09,2013-09-10,1,0,934,0,0,0 +9577,trevor duhaney,trevor,duhaney,2013-02-05,Male,1969-02-05,47,Greater than 45,Other,0,2,0,0,3,-1,2013-02-04 09:30:49,2013-02-08 09:07:37,13002565MM10A,2013-02-04,,1,M,Criminal Mischief>$200<$1000,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-05,Risk of Violence,1,Low,2013-02-05,2013-02-04,2013-02-08,3,3,1151,0,0,0 +9578,shane rhoden,shane,rhoden,2013-02-27,Male,1989-07-12,26,25 - 45,African-American,0,7,0,0,5,-1,2013-02-26 09:51:35,2014-01-16 06:29:22,13002942CF10A,2013-02-26,,1,M,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-27,Risk of Violence,6,Medium,2013-02-27,2014-01-16,2014-02-19,5,357,1129,0,0,0 +9579,daniel martin,daniel,martin,2013-10-07,Male,1982-11-20,33,25 - 45,African-American,0,4,0,0,3,-130,2013-05-30 04:59:27,2013-10-07 11:13:04,13007726CF10A,,2013-05-30,130,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-07,Risk of Violence,4,Low,2013-10-07,2013-05-30,2013-10-07,3,0,907,0,0,0 +9581,phylicia littleton,phylicia,littleton,2013-08-18,Female,1993-03-30,23,Less than 25,African-American,0,3,0,0,0,-1,2013-08-17 04:56:13,2013-09-11 07:01:20,13011536CF10A,2013-08-17,,1,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-18,Risk of Violence,4,Low,2013-08-18,2013-08-17,2013-09-11,0,24,957,0,0,0 +9588,leonard harrell,leonard,harrell,2013-11-25,Male,1961-08-20,54,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-11-24 07:56:57,2013-11-26 09:41:51,13016333CF10A,2013-11-24,,1,F,Corrupt Public Servant,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-25,Risk of Violence,1,Low,2013-11-25,2013-11-24,2013-11-26,0,1,858,0,0,0 +9589,edwin coleman,edwin,coleman,2013-09-10,Male,1965-10-10,50,Greater than 45,African-American,0,6,0,0,2,0,2013-09-10 07:08:23,2013-10-11 06:09:15,08027204MM10A,2008-11-15,,1760,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-10,Risk of Violence,5,Medium,2013-09-10,2013-09-10,2013-10-11,2,31,934,0,0,0 +9592,patrick salcedo,patrick,salcedo,2013-09-29,Male,1990-07-08,25,25 - 45,Caucasian,0,3,0,0,1,-1,2013-09-28 10:45:05,2013-09-29 01:47:16,13013648CF10A,2013-09-28,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-29,Risk of Violence,5,Medium,2013-09-29,2013-09-28,2013-09-29,1,0,915,0,0,0 +9593,carol hopkinson,carol,hopkinson,2013-02-11,Female,1969-08-14,46,Greater than 45,Caucasian,0,1,0,0,0,0,2013-02-11 06:08:31,2013-02-11 07:34:54,13002110CF10A,2013-02-11,,0,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-11,2013-02-11,0,0,1145,0,0,0 +9597,stephen jones,stephen,jones,2013-02-15,Male,1993-06-30,22,Less than 25,Caucasian,0,4,0,0,0,-1,2013-02-14 03:45:34,2013-02-15 08:13:09,13003260MM10A,2013-02-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-15,Risk of Violence,5,Medium,2013-02-15,2013-02-14,2013-02-15,0,0,1141,0,0,0 +9600,brian uva,brian,uva,2013-03-18,Male,1978-02-01,38,25 - 45,Caucasian,1,4,0,0,10,0,2013-03-18 03:51:57,2013-03-18 02:08:29,13003937CF10A,2013-03-18,,0,F,Burglary Structure Unoccup,1,14001909CF10A,(F3),,2013-11-01,Grand Theft in the 3rd Degree,,,,1,14000183CF10A,(F3),2014-01-05,Felony Battery (Dom Strang),Risk of Recidivism,4,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2015-03-31,2020-01-01,10,0,228,1,1,1 +9604,tavaris evans,tavaris,evans,2014-07-30,Male,1998-01-20,18,Less than 25,African-American,5,5,0,2,4,7,2014-08-06 11:52:54,2014-08-30 02:57:59,14003350CF10A,,2014-03-14,138,F,arrest case no charge,1,14015168CF10A,(F3),,2014-09-28,Battery on Law Enforc Officer,,,,1,14015168CF10A,(F3),2014-09-28,Battery on Law Enforc Officer,Risk of Recidivism,5,Medium,2014-07-30,Risk of Violence,9,High,2014-07-30,2014-08-06,2014-08-30,4,0,7,0,1,1 +9608,heather gregory,heather,gregory,2013-08-11,Female,1992-05-01,23,Less than 25,Caucasian,0,6,0,0,0,-1,2013-08-10 08:22:47,2013-08-22 05:29:02,13011233CF10A,2013-08-10,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-11,Risk of Violence,5,Medium,2013-08-11,2013-08-10,2013-08-22,0,11,964,0,0,0 +9609,katicia ortiz,katicia,ortiz,2013-12-18,Female,1984-01-10,32,25 - 45,Hispanic,0,5,0,1,8,-8,2013-12-10 07:35:56,2013-12-17 07:46:09,13022854MM10A,2013-12-10,,8,M,Prostitution/Lewd Act Assignation,1,14004491MM40A,(M1),,2014-10-23,Petit Theft $100- $300,,,,1,15008299CF10A,(M1),2015-06-27,Battery,Risk of Recidivism,5,Medium,2013-12-18,Risk of Violence,2,Low,2013-12-18,2013-12-10,2013-12-17,8,0,309,1,1,1 +9616,antwan brooks,antwan,brooks,2013-01-30,Male,1989-03-07,27,25 - 45,African-American,0,5,0,0,6,841,2015-05-21 02:06:14,2015-09-17 06:23:15,12016985CF10A,2012-09-25,,127,F,Grand Theft In The 3Rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-30,Risk of Violence,5,Medium,2013-01-30,2015-05-21,2015-09-17,6,0,841,0,0,0 +9618,jeremy davis,jeremy,davis,2013-02-22,Male,1990-08-20,25,25 - 45,Caucasian,0,6,0,0,2,0,2013-02-22 01:53:57,2013-02-22 09:26:25,13002692CF10A,2013-02-22,,0,F,Possession of Cocaine,1,15065210TC40A,(M2),,2015-09-27,Unlaw LicTag/Sticker Attach,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-22,Risk of Violence,7,Medium,2013-02-22,2013-02-22,2013-02-22,2,0,947,1,0,0 +9621,philip lawson,philip,lawson,2013-04-21,Male,1963-04-13,53,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-04-20 04:59:18,2013-05-01 05:05:32,13005656CF10A,2013-04-20,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-21,Risk of Violence,1,Low,2013-04-21,2013-04-20,2013-05-01,0,10,1076,0,0,0 +9624,karl jean-francois,karl,jean-francois,2013-02-04,Male,1977-03-05,39,25 - 45,African-American,0,3,0,0,0,-3,2013-02-01 03:49:12,2013-02-02 01:43:29,13002371MM10A,2013-02-01,,3,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-04,Risk of Violence,4,Low,2013-02-04,2013-02-01,2013-02-02,0,0,1152,0,0,0 +9625,errol campbell,errol,campbell,2013-12-10,Male,1978-09-10,37,25 - 45,Other,0,4,0,0,2,-1,2013-12-09 01:26:29,2014-01-29 03:40:53,13017104CF10A,,2013-12-09,1,F,arrest case no charge,1,15010440MM10A,(M2),0,2015-10-05,Exposes Culpable Negligence,2015-10-05,2015-10-06,,1,15010440MM10A,(M1),2015-10-05,Battery,Risk of Recidivism,4,Low,2013-12-10,Risk of Violence,3,Low,2013-12-10,2015-10-05,2015-10-06,2,50,664,1,1,1 +9629,johnny ortiz,johnny,ortiz,2014-02-12,Female,1991-11-13,24,Less than 25,African-American,0,9,0,0,7,-1,2014-02-11 05:51:08,2014-02-12 08:36:39,14001956CF10A,2014-02-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-12,Risk of Violence,7,Medium,2014-02-12,2014-02-11,2014-02-12,7,0,779,0,0,0 +9630,stephen hill,stephen,hill,2013-03-10,Male,1983-01-09,33,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-09 04:50:20,2013-03-10 06:55:18,13004783MM10A,2013-03-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-10,Risk of Violence,1,Low,2013-03-10,2013-03-09,2013-03-10,0,0,1118,0,0,0 +9631,kristen marciniak,kristen,marciniak,2013-05-21,Female,1992-04-06,24,Less than 25,Caucasian,0,4,0,4,1,-24,2013-04-27 08:34:23,2013-04-28 02:23:03,13008117MM10A,2013-04-27,,24,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-21,Risk of Violence,4,Low,2013-05-21,2013-04-27,2013-04-28,1,0,1046,0,0,0 +9632,larry naville,larry,naville,2014-03-17,Male,1969-08-18,46,Greater than 45,Caucasian,0,1,0,0,1,-4,2014-03-13 11:04:11,2014-03-14 09:08:46,14003632CF10A,2014-03-13,,4,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,1,Low,2014-03-17,2014-03-13,2014-03-14,1,0,746,0,0,0 +9633,steve nieves,steve,nieves,2013-04-06,Male,1984-03-11,32,25 - 45,Hispanic,0,7,0,0,7,-1,2013-04-05 06:42:10,2013-04-06 10:10:09,13004927CF10A,2013-04-05,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-06,Risk of Violence,3,Low,2013-04-06,2013-04-05,2013-04-06,7,0,1091,0,0,0 +9634,carlos gonzalez-estrella,carlos,gonzalez-estrella,2013-03-25,Male,1991-09-08,24,Less than 25,Hispanic,0,3,0,0,2,-25,2013-02-28 01:07:46,2013-03-09 02:28:38,13003055CF10A,2013-02-28,,25,F,Lewd/Lasc Battery Pers 12+/<16,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,4,Low,2013-03-25,2013-02-28,2013-03-09,2,0,1103,0,0,0 +9635,wendy martinez,wendy,martinez,2013-03-25,Female,1977-09-18,38,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-24 11:21:20,2013-03-27 03:17:46,13004253CF10A,2013-03-24,,1,F,Burglary Assault/Battery Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-24,2013-03-27,0,2,1103,0,0,0 +9641,michael fazakerley,michael,fazakerley,2013-02-07,Male,1958-11-28,57,Greater than 45,Caucasian,0,1,0,0,2,-28,2013-01-10 01:43:25,2013-01-19 05:21:41,13000444CF10A,2013-01-10,,28,F,Lewd/Lasc Exhib Presence <16yr,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-07,Risk of Violence,1,Low,2013-02-07,2013-01-10,2013-01-19,2,0,1149,0,0,0 +9643,shlomi asayag,shlomi,asayag,2013-08-01,Male,1973-01-30,43,25 - 45,Caucasian,0,1,0,0,0,-1,2013-07-31 03:08:47,2013-08-02 04:52:57,13010713CF10A,,2013-07-31,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-07-31,2013-08-02,0,1,974,0,0,0 +9644,samuel decoline,samuel,decoline,2013-03-13,Male,1993-10-23,22,Less than 25,African-American,0,6,0,0,0,0,2013-03-13 01:52:20,2013-03-13 02:19:25,13004946MM10A,2013-03-13,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-13,Risk of Violence,6,Medium,2013-03-13,2013-03-13,2013-03-13,0,0,1115,0,0,0 +9645,marius jimenez,marius,jimenez,2013-12-30,Male,1989-10-28,26,25 - 45,Caucasian,0,4,0,0,1,,,,12024312MM10A,,2013-02-10,323,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-30,Risk of Violence,3,Low,2013-12-30,,,1,0,823,0,0,0 +9646,lauren scott,lauren,scott,2013-08-06,Female,1987-12-21,28,25 - 45,African-American,0,9,0,0,9,-12,2013-07-25 10:07:15,2013-08-06 10:33:38,13008095MM10A,,2013-07-25,12,M,arrest case no charge,1,13017008CF10A,(F2),66,2013-11-05,Poss of Firearm by Convic Felo,2014-01-10,2014-11-26,,1,13017008CF10A,(F3),2013-11-05,Felony Battery,Risk of Recidivism,9,High,2013-08-06,Risk of Violence,9,High,2013-08-06,2014-11-26,2015-01-01,9,0,91,1,1,1 +9648,john buchheit,john,buchheit,2013-02-16,Male,1965-03-25,51,Greater than 45,Caucasian,0,4,0,0,3,-1,2013-02-15 09:25:26,2013-02-22 07:32:22,15001238CF10A,2013-02-15,,1,F,Felony DUI (level 3),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-16,Risk of Violence,3,Low,2013-02-16,2015-02-24,2015-02-24,3,6,738,0,0,0 +9651,efrain garcia,efrain,garcia,2014-03-13,Male,1974-05-18,41,25 - 45,Hispanic,0,1,0,0,3,-1,2014-03-12 09:03:38,2014-03-13 10:10:37,14003535CF10A,2014-03-12,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-13,Risk of Violence,1,Low,2014-03-13,2014-03-12,2014-03-13,3,0,750,0,0,0 +9653,jonathan rahm,jonathan,rahm,2013-01-26,Male,1992-02-15,24,Less than 25,Caucasian,0,7,0,0,1,-1,2013-01-25 07:16:34,2013-01-26 07:21:49,13001245CF10A,2013-01-25,,1,F,Del Cannabis For Consideration,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-26,Risk of Violence,5,Medium,2013-01-26,2013-01-25,2013-01-26,1,0,1161,0,0,0 +9658,travis taylor,travis,taylor,2013-02-03,Male,1988-09-10,27,25 - 45,African-American,1,10,2,1,6,-1,2013-02-02 06:25:19,2013-02-03 06:39:00,12058249TC10A,,2013-02-02,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-03,Risk of Violence,10,High,2013-02-03,2013-07-12,2013-07-20,6,0,159,0,0,0 +9659,rabe janvier,rabe,janvier,2014-02-03,Male,1990-08-20,25,25 - 45,African-American,0,4,0,0,0,-1,2014-02-02 05:51:39,2014-02-03 01:14:41,14001814MM10A,2014-02-02,,1,M,Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-03,Risk of Violence,4,Low,2014-02-03,2015-05-04,2015-05-19,0,0,455,0,0,0 +9662,duane stephan,duane,stephan,2013-05-14,Male,1959-10-04,56,Greater than 45,Caucasian,0,3,0,0,3,0,2013-05-14 03:48:04,2013-05-14 08:07:48,13009351MM10A,2013-05-14,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-14,Risk of Violence,2,Low,2013-05-14,2013-05-14,2013-05-14,3,0,1053,0,0,0 +9663,brenzina jones,brenzina,jones,2014-01-06,Female,1987-02-09,29,25 - 45,African-American,0,4,0,0,1,-1,2014-01-05 10:19:57,2014-01-07 03:49:53,14000199MM10A,2014-01-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-06,Risk of Violence,3,Low,2014-01-06,2014-01-05,2014-01-07,1,1,816,0,0,0 +9666,kentravian knox,kentravian,knox,2013-04-10,Male,1994-10-06,21,Less than 25,African-American,0,8,0,0,0,-1,2013-04-09 02:31:10,2013-04-11 05:08:54,13005094CF10A,2013-04-09,,1,F,Attempted Robbery No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-10,Risk of Violence,9,High,2013-04-10,2015-05-06,2015-05-06,0,1,756,0,0,0 +9668,janez dickens,janez,dickens,2013-09-24,Female,1988-02-01,28,25 - 45,African-American,0,2,0,0,0,-1,2013-09-23 11:18:27,2013-09-24 09:19:53,13018159MM10A,2013-09-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-24,Risk of Violence,2,Low,2013-09-24,2013-09-23,2013-09-24,0,0,920,0,0,0 +9669,larry hampton,larry,hampton,2014-02-06,Male,1980-09-26,35,25 - 45,African-American,0,1,0,0,2,0,2014-02-06 12:45:53,2014-02-06 09:34:19,14001659CF10A,2014-02-05,,1,F,Sell or Offer for Sale Counterfeit Goods,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-06,Risk of Violence,1,Low,2014-02-06,2014-09-11,2014-09-18,2,0,217,0,0,0 +9670,kevin pazgarcia,kevin,pazgarcia,2013-03-15,Male,1993-02-22,23,Less than 25,Caucasian,0,2,0,0,0,-1,2013-03-14 04:59:27,2013-03-15 06:34:10,13003784CF10A,2013-03-14,,1,F,Fleeing or Eluding a LEO,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-15,Risk of Violence,5,Medium,2013-03-15,2013-03-14,2013-03-15,0,0,1113,0,0,0 +9672,robert larkins,robert,larkins,2014-02-11,Male,1967-07-27,48,Greater than 45,African-American,0,8,0,0,4,0,2014-02-11 02:21:28,2014-02-11 08:51:24,00004068CF10A,,2002-08-13,4200,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-02-11,Risk of Violence,4,Low,2014-02-11,2014-03-26,2014-03-29,4,0,43,0,0,0 +9676,dwayne simmons,dwayne,simmons,2013-02-17,Male,1978-04-27,37,25 - 45,African-American,0,9,0,0,2,0,2013-02-17 12:47:03,2013-08-06 06:12:09,10019497CF10A,,2013-02-17,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-17,Risk of Violence,7,Medium,2013-02-17,2013-08-06,2014-03-27,2,403,1139,0,0,0 +9677,venson joseph,venson,joseph,2014-02-04,Male,1982-10-14,33,25 - 45,African-American,0,1,0,0,0,-1,2014-02-03 01:54:41,2014-02-04 01:11:16,14001465CF10A,2014-02-02,,2,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-03-27,2014-04-02,0,0,51,0,0,0 +9681,brandon jackson,brandon,jackson,2014-03-02,Male,1993-02-01,23,Less than 25,African-American,0,7,0,1,5,-1,2014-03-01 09:22:26,2014-03-03 02:30:42,14002927CF10A,2014-03-01,,1,F,False Imprisonment,1,15003734MM10A,(M1),,2014-10-25,Battery,,,,1,15003734MM10A,(M1),2014-10-25,Battery,Risk of Recidivism,7,Medium,2014-03-02,Risk of Violence,4,Low,2014-03-02,2014-03-01,2014-03-03,5,1,237,1,1,1 +9686,ryan bassaragh,ryan,bassaragh,2014-01-16,Male,1992-03-27,24,Less than 25,African-American,0,4,0,0,0,0,2014-01-16 12:57:15,2014-01-17 02:06:24,14000719CF10A,2014-01-15,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-16,Risk of Violence,3,Low,2014-01-16,2014-01-16,2014-01-17,0,1,806,0,0,0 +9687,emmanuel knight,emmanuel,knight,2013-01-26,Male,1971-09-09,44,25 - 45,African-American,0,7,0,0,2,-1,2013-01-25 06:09:54,2013-01-30 08:27:06,12042413TC10A,,2013-01-25,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-26,Risk of Violence,4,Low,2013-01-26,2013-01-25,2013-01-30,2,4,1161,0,0,0 +9689,curtis green,curtis,green,2013-01-09,Male,1989-11-28,26,25 - 45,African-American,0,4,0,0,4,624,2014-09-25 11:04:26,2014-10-10 05:13:04,12022394MM10A,2012-10-29,,72,M,Fail Register Vehicle,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-09,Risk of Violence,6,Medium,2013-01-09,2014-09-25,2014-10-10,4,0,624,0,0,0 +9690,samesha stringer,samesha,stringer,2013-08-17,Female,1989-08-04,26,25 - 45,African-American,0,2,0,0,0,-1,2013-08-16 11:58:17,2013-08-17 01:12:43,13015568MM10A,2013-08-16,,1,M,Exposes Culpable Negligence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-17,Risk of Violence,2,Low,2013-08-17,2013-08-16,2013-08-17,0,0,958,0,0,0 +9691,alfred infante,alfred,infante,2013-10-25,Male,1986-12-16,29,25 - 45,African-American,0,6,0,0,2,-1,2013-10-24 05:41:59,2013-10-26 03:05:42,13002559CF10A,,2013-10-24,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2015-04-09,2015-04-23,2,1,531,0,0,0 +9693,carlos lara,carlos,lara,2013-05-28,Male,1989-05-09,26,25 - 45,Hispanic,0,2,0,1,0,-1,2013-05-27 07:12:07,2013-05-28 01:57:43,13007565CF10A,2013-05-27,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-28,Risk of Violence,2,Low,2013-05-28,2013-05-27,2013-05-28,0,0,1039,0,0,0 +9695,asher roberti,asher,roberti,2013-05-28,Male,1985-10-07,30,25 - 45,Caucasian,0,1,0,0,1,-1,2013-05-27 11:20:28,2013-05-28 08:51:19,13010135MM10A,2013-05-27,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-28,Risk of Violence,1,Low,2013-05-28,2013-05-27,2013-05-28,1,0,1039,0,0,0 +9699,reza mansourie,reza,mansourie,2013-02-22,Male,1973-12-26,42,25 - 45,Other,0,2,0,0,1,-2,2013-02-20 01:05:27,2013-02-21 07:53:53,13000639CF10A,2013-01-14,,39,F,Armed Trafficking in Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-22,Risk of Violence,2,Low,2013-02-22,2013-02-20,2013-02-21,1,0,1134,0,0,0 +9703,trena collier,trena,collier,2013-03-18,Female,1988-03-18,28,25 - 45,African-American,0,3,0,0,0,-1,2013-03-17 06:10:24,2013-03-19 11:32:14,13003882CF10A,2013-03-17,,1,F,Burglary Dwelling Assault/Batt,1,14005314MM10A,(M1),0,2014-03-27,Battery,2014-03-27,2014-03-28,,1,14005314MM10A,(M1),2014-03-27,Battery,Risk of Recidivism,3,Low,2013-03-18,Risk of Violence,3,Low,2013-03-18,2014-03-27,2014-03-28,0,1,374,1,1,1 +9704,terrell comete,terrell,comete,2014-01-11,Male,1995-11-09,20,Less than 25,African-American,0,3,0,0,0,-1,2014-01-10 04:49:46,2014-01-21 07:13:32,14000440CF10A,2014-01-10,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-11,Risk of Violence,6,Medium,2014-01-11,2014-03-13,2014-05-05,0,10,61,0,0,0 +9706,clifton huggins,clifton,huggins,2014-01-02,Female,1991-11-02,24,Less than 25,Caucasian,0,7,2,0,7,-1,2014-01-01 04:54:43,2014-01-02 08:10:06,14000051CF10A,2014-01-01,,1,M,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-02,Risk of Violence,4,Low,2014-01-02,2014-01-01,2014-01-02,7,0,820,0,0,0 +9709,trimaine ward,trimaine,ward,2013-04-27,Female,1994-11-30,21,Less than 25,African-American,0,9,0,0,1,-1,2013-04-26 04:34:20,2013-04-30 05:46:51,13006044CF10A,2013-04-26,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-04-27,Risk of Violence,9,High,2013-04-27,2015-10-21,2015-11-22,1,3,907,0,0,0 +9710,devon ricks,devon,ricks,2014-07-20,Male,1988-11-25,27,25 - 45,African-American,0,5,0,0,8,-1,2014-07-19 11:52:29,2014-08-14 05:28:51,14011045CF10A,2014-07-19,,1,F,Felony Battery w/Prior Convict,1,14014315CF10A,(F3),56,2014-09-02,Felony Battery (Dom Strang),2014-10-28,2015-01-27,,1,14014315CF10A,(F3),2014-09-02,Felony Battery (Dom Strang),Risk of Recidivism,5,Medium,2014-07-20,Risk of Violence,6,Medium,2014-07-20,2014-07-19,2014-08-14,8,25,44,1,1,1 +9713,anthony pirolo,anthony,pirolo,2013-10-13,Male,1973-04-25,42,25 - 45,Caucasian,0,1,0,0,0,0,2013-10-13 01:34:58,2013-10-19 08:32:01,13019356MM10A,2013-10-12,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-13,Risk of Violence,1,Low,2013-10-13,2013-10-13,2013-10-19,0,6,901,0,0,0 +9715,sandro sampaio,sandro,sampaio,2013-12-02,Male,1973-02-11,43,25 - 45,Caucasian,0,1,0,0,1,-131,2013-07-24 12:44:03,2013-07-25 05:00:04,13008010CF10A,,2013-07-24,131,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-07-24,2013-07-25,1,0,851,0,0,0 +9717,irina rogina,irina,rogina,2014-02-12,Female,1961-01-19,55,Greater than 45,Caucasian,0,1,0,0,0,-3,2014-02-09 09:45:01,2014-02-10 09:40:24,14002242MM10A,2014-02-09,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-12,Risk of Violence,1,Low,2014-02-12,2014-02-09,2014-02-10,0,0,779,0,0,0 +9723,ahkeen moore,ahkeen,moore,2013-05-03,Male,1992-06-17,23,Less than 25,African-American,0,4,0,0,0,0,2013-05-03 03:57:46,2013-05-04 03:31:44,13008888MM10A,2013-05-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-03,Risk of Violence,6,Medium,2013-05-03,2013-05-03,2013-05-04,0,1,1064,0,0,0 +9724,gloria moses,gloria,moses,2013-04-27,Female,1951-12-12,64,Greater than 45,African-American,0,1,0,0,0,-1,2013-04-26 07:02:44,2013-04-30 08:30:10,13006819CF10A,2013-04-26,,1,F,Solicit Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-26,2013-04-30,0,3,1070,0,0,0 +9725,roland voltaire,roland,voltaire,2013-09-23,Male,1967-10-04,48,Greater than 45,Other,0,1,0,0,0,-1,2013-09-22 05:49:43,2013-09-24 04:27:36,13018051MM10A,2013-09-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-23,Risk of Violence,1,Low,2013-09-23,2013-09-22,2013-09-24,0,1,921,0,0,0 +9730,joshua simons,joshua,simons,2013-05-26,Male,1986-02-25,30,25 - 45,Caucasian,0,2,0,0,0,-1,2013-05-25 09:00:36,2013-05-26 08:33:54,13010048MM10A,2013-05-25,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-26,Risk of Violence,3,Low,2013-05-26,2013-05-25,2013-05-26,0,0,1041,0,0,0 +9731,jessica harrold,jessica,harrold,2014-01-07,Female,1994-01-24,22,Less than 25,African-American,0,4,0,0,1,-3,2014-01-04 01:34:33,2014-01-04 01:28:25,14000152MM10A,2014-01-03,,4,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-07,Risk of Violence,4,Low,2014-01-07,2014-01-04,2014-01-04,1,0,815,0,0,0 +9734,zachary cato,zachary,cato,2013-10-17,Male,1991-11-01,24,Less than 25,Caucasian,0,4,0,0,0,0,2013-10-17 02:19:04,2013-10-17 07:42:29,13014548CF10A,2013-10-17,,0,F,Poss Meth/Diox/Meth/Amp (MDMA),0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-17,Risk of Violence,5,Medium,2013-10-17,2013-10-17,2013-10-17,0,0,897,0,0,0 +9735,mario garcia,mario,garcia,2013-09-20,Male,1966-09-05,49,Greater than 45,Hispanic,0,1,0,0,2,-40,2013-08-11 11:18:34,2013-09-20 11:58:23,13015162MM10A,2013-08-11,,40,M,Petit Theft,1,16000454MM30A,(M1),,2016-03-01,Possess Cannabis/20 Grams Or Less,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-20,Risk of Violence,1,Low,2013-09-20,2013-08-11,2013-09-20,2,0,893,1,0,0 +9737,john navarro,john,navarro,2013-12-23,Male,1965-10-08,50,Greater than 45,Caucasian,0,1,0,0,2,-32,2013-11-21 07:33:28,2013-11-22 08:30:22,13016172CF10A,2013-11-21,,32,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-11-21,2013-11-22,2,0,830,0,0,0 +9738,deneil merritt,deneil,merritt,2013-04-29,Male,1986-01-24,30,25 - 45,African-American,0,7,0,0,3,-1,2013-04-28 04:58:10,2013-11-20 09:13:09,13008172MM10A,2013-04-28,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-29,Risk of Violence,7,Medium,2013-04-29,2013-04-28,2013-11-20,3,205,1068,0,0,0 +9740,marcus lane,marcus,lane,2013-05-16,Male,1995-03-03,21,Less than 25,African-American,0,9,2,0,2,111,2013-09-04 09:05:35,2013-10-22 09:02:34,13004884CF10A,2012-11-24,,173,M,Dealing In Stolen Property,1,13012477CF10A,(M1),0,2013-09-04,Resist/Obstruct W/O Violence,2013-09-04,2013-10-22,,1,13012477CF10A,(M1),2013-09-04,Battery,Risk of Recidivism,9,High,2013-05-16,Risk of Violence,8,High,2013-05-16,2013-09-04,2013-10-22,2,0,111,1,1,1 +9743,lafrance telon,lafrance,telon,2013-09-12,Male,1984-10-05,31,25 - 45,African-American,0,10,0,0,1,-1,2013-09-11 03:42:34,2013-09-12 01:29:57,13015178CF10A,2013-09-11,,1,F,Poss Unlaw Issue Driver Licenc,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-09-12,Risk of Violence,6,Medium,2013-09-12,2013-12-27,2014-01-14,1,0,106,0,0,0 +9746,luis valdez,luis,valdez,2013-02-27,Male,1992-11-30,23,Less than 25,Hispanic,0,7,0,0,0,-1,2013-02-26 01:06:53,2013-02-27 01:44:17,13004001MM10A,2013-02-26,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-27,Risk of Violence,8,High,2013-02-27,2013-02-26,2013-02-27,0,0,1129,0,0,0 +9748,trevor lamons,trevor,lamons,2013-02-07,Male,1987-09-19,28,25 - 45,African-American,0,6,0,0,11,-1,2013-02-06 02:17:29,2013-02-08 07:30:37,13005470CF10A,2013-02-06,,1,F,Neglect Child / No Bodily Harm,1,14016007CF10A,(F3),,2013-10-17,Burglary Conveyance Unoccup,,,,1,14013277MM10A,(M1),2014-07-24,Battery,Risk of Recidivism,6,Medium,2013-02-07,Risk of Violence,5,Medium,2013-02-07,2013-02-06,2013-02-08,11,1,252,1,1,1 +9750,ferris finley,ferris,finley,2014-02-15,Male,1992-02-05,24,Less than 25,African-American,0,2,0,1,0,-1,2014-02-14 01:26:06,2014-02-15 08:43:50,14002142CF10A,2014-02-14,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-15,Risk of Violence,4,Low,2014-02-15,2014-02-14,2014-02-15,0,0,776,0,0,0 +9753,imad cherif,imad,cherif,2013-11-27,Male,1984-07-29,31,25 - 45,Other,0,1,0,0,1,0,2013-11-27 03:46:11,2013-11-28 02:38:00,13022266MM10A,2013-11-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-27,Risk of Violence,1,Low,2013-11-27,2013-11-27,2013-11-28,1,1,856,0,0,0 +9754,edward durizil,edward,durizil,2013-02-20,Male,1987-02-04,29,25 - 45,African-American,0,4,0,0,3,0,2013-02-20 01:28:43,2013-02-20 01:32:44,13002610CF10A,,2013-02-19,1,F,arrest case no charge,1,14008889CF10A,(F2),1,2014-06-26,Aggravated Battery / Pregnant,2014-06-27,2014-06-28,,1,14008889CF10A,(F2),2014-06-26,Aggravated Battery / Pregnant,Risk of Recidivism,4,Low,2013-02-20,Risk of Violence,3,Low,2013-02-20,2014-06-27,2014-06-28,3,0,491,1,1,1 +9756,wade grant,wade,grant,2013-11-08,Male,1988-03-30,28,25 - 45,African-American,0,3,0,0,4,-1,2013-11-07 07:17:15,2013-12-11 09:33:15,13021033MM10A,2013-11-07,,1,M,Battery,1,14013394MM10A,(M1),,2014-07-25,Battery,,,,1,14013394MM10A,(M1),2014-07-25,Battery,Risk of Recidivism,3,Low,2013-11-08,Risk of Violence,4,Low,2013-11-08,2013-11-07,2013-12-11,4,33,259,1,1,1 +9759,douglas mackenzie,douglas,mackenzie,2013-02-14,Male,1966-09-06,49,Greater than 45,Caucasian,0,5,0,0,0,-1,2013-02-13 05:22:26,2013-02-14 10:04:07,13002251CF10A,2013-02-13,,1,F,Offer Agree Secure/Lewd Act,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-14,Risk of Violence,2,Low,2013-02-14,2013-02-13,2013-02-14,0,0,1142,0,0,0 +9767,danny abadia,danny,abadia,2014-03-26,Male,1973-11-08,42,25 - 45,Caucasian,0,1,0,0,0,0,2014-03-26 12:42:13,2014-03-26 08:34:43,14005237MM10A,2014-03-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-26,Risk of Violence,1,Low,2014-03-26,2014-03-26,2014-03-26,0,0,737,0,0,0 +9771,audwin lovinsky,audwin,lovinsky,2013-09-26,Male,1977-06-07,38,25 - 45,African-American,0,2,0,0,4,-1,2013-09-25 11:38:59,2013-09-26 07:54:40,13018314MM10A,2013-09-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-26,Risk of Violence,2,Low,2013-09-26,2013-11-20,2014-02-06,4,0,55,0,0,0 +9776,domimick sarlo,domimick,sarlo,2013-10-22,Male,1952-08-10,63,Greater than 45,Caucasian,0,1,0,0,1,,,,02003090CF10A,,2013-10-10,12,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-22,Risk of Violence,1,Low,2013-10-22,,,1,0,892,0,0,0 +9778,rueben smith,rueben,smith,2013-10-23,Male,1979-07-12,36,25 - 45,African-American,0,6,0,0,0,-1,2013-10-22 05:43:33,2013-10-23 01:34:32,13014732CF10A,2013-10-22,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-23,Risk of Violence,1,Low,2013-10-23,2013-10-22,2013-10-23,0,0,891,0,0,0 +9782,timmie ivey,timmie,ivey,2013-02-28,Male,1986-09-23,29,25 - 45,African-American,0,10,0,0,11,-1,2013-02-27 10:06:03,2013-02-28 07:41:24,13004079MM10A,2013-02-27,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-28,Risk of Violence,5,Medium,2013-02-28,2013-02-27,2013-02-28,11,0,1128,0,0,0 +9784,sheldon jones,sheldon,jones,2013-04-22,Male,1976-05-18,39,25 - 45,African-American,0,2,0,0,2,-1,2013-04-21 04:21:02,2013-04-22 06:59:21,13007676MM10A,2013-04-21,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-21,2013-04-22,2,0,1075,0,0,0 +9785,vitali kosinskii,vitali,kosinskii,2013-05-14,Male,1968-08-07,47,Greater than 45,Caucasian,0,2,0,0,0,-1,2013-05-13 09:39:07,2013-05-16 06:45:19,13009241MM10A,2013-05-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-05-13,2013-05-16,0,2,1053,0,0,0 +9788,john oneal,john,oneal,2013-03-26,Male,1961-02-25,55,Greater than 45,African-American,0,8,0,0,12,-40,2013-02-14 12:43:42,2013-03-15 03:27:58,08024134CF10A,,2013-02-14,40,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-26,Risk of Violence,6,Medium,2013-03-26,2015-01-14,2015-01-22,12,0,659,0,0,0 +9789,vitay joseph,vitay,joseph,2014-03-29,Male,1952-09-06,63,Greater than 45,African-American,0,1,0,0,2,-1,2014-03-28 11:14:31,2014-03-30 04:46:03,14005403MM10A,2014-03-28,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-29,Risk of Violence,1,Low,2014-03-29,2014-03-28,2014-03-30,2,1,734,0,0,0 +9791,dale griffin,dale,griffin,2014-03-30,Male,1960-09-10,55,Greater than 45,Caucasian,0,5,0,0,27,-1,2014-03-29 08:00:47,2014-03-31 03:18:41,14005435MM10A,2014-03-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-03-29,2014-03-31,27,1,733,0,0,0 +9795,yan diaz-gomez,yan,diaz-gomez,2013-06-26,Male,1991-10-19,24,Less than 25,Hispanic,0,2,0,0,1,,,,13007446CF10A,2013-05-24,,33,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-06-26,Risk of Violence,4,Low,2013-06-26,,,1,0,1010,0,0,0 +9796,jean beldunord,jean,beldunord,2013-09-08,Male,1961-06-15,54,Greater than 45,Other,0,2,0,0,2,-1,2013-09-07 05:25:52,2013-09-08 06:43:55,13017074MM10A,2013-09-07,,1,M,Battery,1,15002042MM10A,(M1),0,2015-02-18,Battery,2015-02-18,2015-02-20,,1,15002042MM10A,(M1),2015-02-18,Battery,Risk of Recidivism,2,Low,2013-09-08,Risk of Violence,1,Low,2013-09-08,2015-02-18,2015-02-20,2,0,528,1,1,1 +9798,nikko bethel,nikko,bethel,2014-01-31,Male,1989-08-18,26,25 - 45,African-American,0,6,1,0,3,,,,13013365MM10A,2013-01-27,,369,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-31,Risk of Violence,7,Medium,2014-01-31,,,3,0,791,0,0,0 +9800,michael dicicco,michael,dicicco,2013-11-14,Male,1978-04-23,37,25 - 45,Caucasian,0,2,0,0,1,-9,2013-11-05 05:01:02,2013-11-06 01:55:26,13020891MM10A,2013-11-05,,9,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-14,Risk of Violence,1,Low,2013-11-14,2013-11-05,2013-11-06,1,0,869,0,0,0 +9801,traveon ortiz,traveon,ortiz,2013-09-11,Male,1991-01-09,25,25 - 45,African-American,0,5,0,0,4,-170,2013-03-25 04:45:52,2013-03-29 05:47:05,13005831MM10A,2013-03-25,,170,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-11,Risk of Violence,8,High,2013-09-11,2013-03-25,2013-03-29,4,0,933,0,0,0 +9802,nicholas wright,nicholas,wright,2013-02-12,Male,1981-08-09,34,25 - 45,African-American,0,1,0,0,0,-1,2013-02-11 04:22:25,2013-02-12 07:48:00,13002127CF10A,2013-02-11,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-12,Risk of Violence,2,Low,2013-02-12,2014-06-23,2014-07-25,0,0,496,0,0,0 +9806,viccas harris,viccas,harris,2013-09-11,Male,1958-11-02,57,Greater than 45,Other,0,1,0,0,0,-1,2013-09-10 09:26:23,2013-09-11 01:40:45,13012804CF10A,2013-09-10,,1,F,Agg Assault W/int Com Fel Dome,1,16002027CF10A,(F3),0,2016-02-17,Felony Battery (Dom Strang),2016-02-17,2016-02-18,,1,16002027CF10A,(F3),2016-02-17,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2016-02-17,2016-02-18,0,0,889,1,0,0 +9808,giovanni de paola,giovanni,de paola,2013-07-24,Male,1969-09-30,46,Greater than 45,Caucasian,0,5,0,0,2,-55,2013-05-30 03:17:59,2013-05-30 01:14:43,13007722CF10A,2013-05-30,,55,F,"Poss 3,4 MDMA (Ecstasy)",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-24,Risk of Violence,2,Low,2013-07-24,2013-05-30,2013-05-30,2,0,982,0,0,0 +9810,angel santiago,angel,santiago,2013-09-17,Male,1983-07-28,32,25 - 45,African-American,0,9,0,1,8,-1,2013-09-16 06:50:38,2013-09-17 07:08:30,13013071CF10A,2013-09-16,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-17,Risk of Violence,4,Low,2013-09-17,2014-04-07,2014-04-10,8,0,202,0,0,0 +9814,antoine cross,antoine,cross,2014-02-03,Male,1981-01-01,35,25 - 45,African-American,0,8,0,0,4,96,2014-05-10 09:42:39,2014-08-27 06:23:00,12011660CF10A,2012-08-09,,543,F,Possession of Cocaine,1,14006531CF10A,(F2),0,2014-05-10,Sexual Battery / Vict 12 Yrs +,2014-05-10,2014-08-27,,1,14006531CF10A,(F2),2014-05-10,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,8,High,2014-02-03,Risk of Violence,7,Medium,2014-02-03,2014-05-10,2014-08-27,4,0,96,1,1,1 +9817,dwaine williams,dwaine,williams,2013-08-21,Male,1990-02-28,26,25 - 45,African-American,0,5,0,0,2,-1,2013-08-20 08:29:26,2013-09-11 05:35:26,13011672CF10A,2013-08-20,,1,F,Grand Theft in the 3rd Degree,1,15005964MM10A,(M1),74,2015-05-10,Battery,2015-07-23,2015-10-14,,1,15005964MM10A,(M1),2015-05-10,Battery,Risk of Recidivism,5,Medium,2013-08-21,Risk of Violence,6,Medium,2013-08-21,2014-10-30,2014-11-15,2,21,435,0,1,1 +9820,craig reese,craig,reese,2013-05-08,Male,1987-02-03,29,25 - 45,African-American,0,4,0,0,2,-1,2013-05-07 03:17:19,2013-05-10 09:37:44,13008855MM10A,2013-05-07,,1,M,Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-08,Risk of Violence,2,Low,2013-05-08,2013-05-07,2013-05-10,2,2,1059,0,0,0 +9823,lorenzo brown,lorenzo,brown,2013-10-18,Male,1963-01-08,53,Greater than 45,African-American,0,5,0,0,20,-3,2013-10-15 06:39:17,2013-10-18 10:33:48,13014418CF10A,,2013-10-15,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-18,Risk of Violence,5,Medium,2013-10-18,2013-11-18,2014-04-04,20,0,31,0,0,0 +9824,juan oliver,juan,oliver,2013-03-11,Male,1959-01-12,57,Greater than 45,Hispanic,0,1,0,0,1,-15,2013-02-24 05:08:09,2013-02-25 07:21:44,13003831MM10A,2013-02-24,,15,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-11,Risk of Violence,1,Low,2013-03-11,2013-02-24,2013-02-25,1,0,1117,0,0,0 +9826,quinnell elder,quinnell,elder,2014-02-12,Male,1986-11-06,29,25 - 45,African-American,0,10,1,0,3,-119,2013-10-16 09:53:56,2014-02-12 11:17:50,13013468CF10A,,2013-10-16,119,F,arrest case no charge,1,14008633CF10A,(F3),0,2014-06-23,Felony Battery w/Prior Convict,2014-06-23,2014-08-21,,1,14008633CF10A,(F3),2014-06-23,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2014-02-12,Risk of Violence,5,Medium,2014-02-12,2014-06-12,2014-06-21,3,0,120,0,1,1 +9827,nelson lopez,nelson,lopez,2013-04-16,Male,1988-11-07,27,25 - 45,Caucasian,0,2,0,0,0,-1,2013-04-15 06:32:03,2013-05-29 01:43:59,13005412CF10A,2013-04-15,,1,F,Burglary Dwelling Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-16,Risk of Violence,3,Low,2013-04-16,2013-04-15,2013-05-29,0,43,1081,0,0,0 +9830,dmitry marochnik,dmitry,marochnik,2014-01-24,Male,1968-01-16,48,Greater than 45,Caucasian,0,2,0,0,0,-1,2014-01-23 09:26:28,2014-01-24 09:36:51,14000979CF10A,2014-01-23,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-24,Risk of Violence,1,Low,2014-01-24,2014-01-23,2014-01-24,0,0,798,0,0,0 +9831,victor chavez,victor,chavez,2014-10-01,Male,1986-10-13,29,25 - 45,Hispanic,0,2,0,0,0,0,2014-10-01 04:15:08,2014-10-04 09:16:33,14014448MM10A,2014-10-01,,0,M,Disorderly Conduct,1,15001634CF10A,(F2),0,2015-02-02,Aggravated Battery / Pregnant,2015-02-02,2015-02-04,,1,15001634CF10A,(F2),2015-02-02,Aggravated Battery / Pregnant,Risk of Recidivism,2,Low,2014-10-01,Risk of Violence,2,Low,2014-10-01,2015-02-02,2015-02-04,0,3,124,1,1,1 +9832,robert neftelberg,robert,neftelberg,2014-09-22,Male,1990-05-17,25,25 - 45,Caucasian,0,4,0,0,1,0,2014-09-22 03:22:32,2014-09-25 04:34:12,14014043MM10A,2014-09-22,,0,M,Battery,1,15005133MM10A,(M1),0,2015-05-07,Resist/Obstruct W/O Violence,2015-05-07,2015-05-08,,1,15005133MM10A,(M2),2015-05-07,Assault,Risk of Recidivism,4,Low,2014-09-22,Risk of Violence,4,Low,2014-09-22,2015-05-07,2015-05-08,1,3,227,1,1,1 +9833,william larson,william,larson,2013-05-04,Male,1948-04-24,67,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-05-03 11:25:26,2013-05-05 07:13:44,13006371CF10A,2013-05-03,,1,F,Cruelty Toward Child,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-04,Risk of Violence,1,Low,2013-05-04,2013-05-03,2013-05-05,0,1,1063,0,0,0 +9834,gerod adderly,gerod,adderly,2013-11-16,Male,1987-02-19,29,25 - 45,African-American,0,5,0,1,2,0,2013-11-16 02:35:51,2013-11-16 07:53:22,13016141CF10A,2013-11-16,,0,M,Agg Fleeing and Eluding,1,16002390CF10A,(F2),1,2016-02-24,,2016-02-25,2016-02-25,,0,,,,,Risk of Recidivism,5,Medium,2013-11-16,Risk of Violence,3,Low,2013-11-16,2016-02-25,2016-02-25,2,0,830,1,0,0 +9835,marie scott,marie,scott,2013-05-23,Female,1962-05-18,53,Greater than 45,African-American,0,2,0,0,3,-1,2013-05-22 02:23:12,2013-05-24 09:54:10,13007307CF10A,2013-05-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-23,Risk of Violence,1,Low,2013-05-23,2013-05-22,2013-05-24,3,1,1044,0,0,0 +9837,james helvie,james,helvie,2013-07-26,Male,1992-07-02,23,Less than 25,Caucasian,0,5,0,0,1,-40,2013-06-16 02:09:50,2013-07-26 12:11:02,13008475CF10A,2013-06-15,,41,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-07-26,Risk of Violence,5,Medium,2013-07-26,2013-12-15,2014-04-15,1,0,142,0,0,0 +9838,edward mcclain,edward,mcclain,2013-03-18,Male,1966-09-26,49,Greater than 45,African-American,0,1,0,0,0,-4,2013-03-14 11:29:26,2013-03-15 07:01:59,13003785CF10A,2013-03-14,,4,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-14,2013-03-15,0,0,1110,0,0,0 +9840,yvonne whorrie,yvonne,whorrie,2013-11-02,Female,1971-09-24,44,25 - 45,Caucasian,0,1,0,0,0,-1,2013-11-01 08:05:38,2013-11-02 01:19:24,13020658MM10A,2013-11-01,,1,M,Driving Under The Influence,1,16004931MU10A,(M1),0,2016-02-28,,2016-02-28,2016-02-29,,0,,,,,Risk of Recidivism,1,Low,2013-11-02,Risk of Violence,1,Low,2013-11-02,2016-02-28,2016-02-29,0,0,848,1,0,0 +9842,margarita simon,margarita,simon,2014-03-22,Female,1960-11-17,55,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-21 08:37:59,2014-03-22 01:21:06,14004030CF10A,2014-03-21,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-22,0,0,741,0,0,0 +9845,sidney moody,sidney,moody,2013-12-31,Male,1969-10-27,46,Greater than 45,African-American,0,1,0,0,0,-1,2013-12-30 05:41:40,2013-12-31 01:23:54,13024001MM10A,2013-12-30,,1,M,Battery,1,16006860MU10A,(M1),0,2016-03-19,,2016-03-19,2016-03-19,,0,,,,,Risk of Recidivism,1,Low,2013-12-31,Risk of Violence,1,Low,2013-12-31,2016-03-19,2016-03-19,0,0,809,0,0,0 +9847,sheara bryant,sheara,bryant,2014-06-23,Female,1968-03-13,48,Greater than 45,African-American,0,6,0,0,0,-1,2014-06-22 10:10:01,2014-07-02 03:07:22,14008618CF10A,2014-06-22,,1,F,Tampering With Physical Evidence,1,16001533MM40A,(M1),,2016-03-06,Battery,,,,1,16001533MM40A,(M1),2016-03-06,Battery,Risk of Recidivism,6,Medium,2014-06-23,Risk of Violence,1,Low,2014-06-23,2014-06-22,2014-07-02,0,9,622,1,1,1 +9851,robert watson,robert,watson,2014-04-01,Male,1938-07-29,77,Greater than 45,African-American,0,1,0,0,1,-1,2014-03-31 05:06:08,2014-04-02 12:46:17,04052533TC30A,2004-05-15,,3608,M,Driving License Suspended,1,16002278CF10A,(F3),0,2016-02-22,Aggravated Assault W/Dead Weap,2016-02-22,2016-02-23,,1,16002278CF10A,(F3),2016-02-22,Aggravated Assault W/Dead Weap,Risk of Recidivism,1,Low,2014-04-01,Risk of Violence,1,Low,2014-04-01,2016-02-22,2016-02-23,1,1,692,1,1,1 +9855,martin kildea,martin,kildea,2013-04-25,Male,1961-09-17,54,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-04-24 09:17:57,2013-04-25 01:20:58,13005886CF10A,2013-04-24,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-25,Risk of Violence,1,Low,2013-04-25,2013-04-24,2013-04-25,3,0,1072,0,0,0 +9856,roderick edwards,roderick,edwards,2014-01-22,Male,1989-07-28,26,25 - 45,African-American,0,9,0,0,15,-1,2014-01-21 04:59:27,2014-03-05 04:11:04,14000874CF10A,,2014-01-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-22,Risk of Violence,6,Medium,2014-01-22,2014-01-21,2014-03-05,15,42,800,0,0,0 +9858,jhonatan navasmejia,jhonatan,navasmejia,2013-04-18,Male,1988-07-12,27,25 - 45,Hispanic,0,2,0,0,1,-86,2013-01-22 03:25:30,2013-01-25 02:25:22,13001032CF10A,,2013-04-15,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-18,Risk of Violence,2,Low,2013-04-18,2014-01-30,2014-02-05,1,0,287,0,0,0 +9861,leonard ulloa,leonard,ulloa,2013-11-15,Male,1977-01-13,39,25 - 45,Caucasian,0,2,0,0,2,0,2013-11-15 03:22:59,2013-12-03 11:40:11,13006242CF10A,,2013-11-15,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-15,Risk of Violence,2,Low,2013-11-15,2013-11-15,2013-12-03,2,18,868,0,0,0 +9862,jose martinez,jose,martinez,2013-11-06,Male,1980-12-13,35,25 - 45,Hispanic,0,7,0,0,13,-1,2013-11-05 06:09:03,2013-11-09 09:07:35,13015408CF10A,2013-11-05,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-06,Risk of Violence,3,Low,2013-11-06,2013-11-05,2013-11-09,13,3,877,0,0,0 +9867,kenneth beasley,kenneth,beasley,2013-09-06,Male,1975-01-12,41,25 - 45,African-American,0,3,0,0,6,-1,2013-09-05 03:59:11,2013-09-11 05:35:17,13012551CF10A,2013-09-05,,1,F,Poss Cocaine/Intent To Del/Sel,1,16009411TC20A,(M2),22,2016-02-18,Driving License Suspended,2016-03-11,2016-03-16,,0,,,,,Risk of Recidivism,3,Low,2013-09-06,Risk of Violence,4,Low,2013-09-06,2013-09-05,2013-09-11,6,5,895,1,0,0 +9868,eugene ameda,eugene,ameda,2013-10-14,Male,1984-01-03,32,25 - 45,African-American,0,10,0,0,1,-1,2013-10-13 09:56:52,2014-02-05 11:25:55,13019389MM10A,2013-10-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-14,Risk of Violence,8,High,2013-10-14,2013-10-13,2014-02-05,1,114,900,0,0,0 +9869,keith williams,keith,williams,2013-04-09,Male,1967-12-09,48,Greater than 45,African-American,0,6,0,0,12,-24,2013-03-16 12:22:49,2013-03-16 01:38:12,12026644TC10A,,2012-05-11,333,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-09,Risk of Violence,3,Low,2013-04-09,2013-03-16,2013-03-16,12,0,1088,0,0,0 +9871,roger lutar,roger,lutar,2014-01-14,Male,1976-06-03,39,25 - 45,Caucasian,0,6,0,0,2,-120,2013-09-16 01:06:26,2013-11-19 10:46:00,09016467CF10A,,2013-09-16,120,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-14,Risk of Violence,3,Low,2014-01-14,2013-09-16,2013-11-19,2,0,808,0,0,0 +9872,bruse mcgill,bruse,mcgill,2014-11-28,Male,1963-07-31,52,Greater than 45,African-American,0,6,0,0,0,-1,2014-11-27 09:00:13,2014-12-01 10:10:14,14016883MM10A,2014-11-27,,1,M,Battery,1,15000828CF10A,(M1),0,2015-01-19,Viol Pretrial Release Dom Viol,2015-01-19,2015-05-17,,1,15000828CF10A,(M1),2015-01-19,Battery,Risk of Recidivism,6,Medium,2014-11-28,Risk of Violence,4,Low,2014-11-28,2015-01-19,2015-05-17,0,3,52,1,1,1 +9879,gregory horton,gregory,horton,2014-01-16,Male,1959-08-01,56,Greater than 45,African-American,0,3,0,0,4,-50,2013-11-27 11:15:34,2013-11-28 12:56:21,13022264MM10A,2013-11-27,,50,M,Battery,1,14008977CF10A,(F2),0,2014-06-30,Sexual Battery / Vict 12 Yrs +,2014-06-30,2014-08-05,,1,14008977CF10A,(F2),2014-06-30,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,3,Low,2014-01-16,Risk of Violence,1,Low,2014-01-16,2014-06-30,2014-08-05,4,0,165,1,1,1 +9880,angela waller,angela,waller,2013-09-07,Female,1969-07-22,46,Greater than 45,Caucasian,0,1,0,0,0,0,2013-09-07 12:48:05,2013-09-07 09:24:33,13017046MM10A,2013-09-06,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-07,Risk of Violence,1,Low,2013-09-07,2013-09-07,2013-09-07,0,0,937,0,0,0 +9885,brittany clark,brittany,clark,2013-05-09,Female,1993-10-26,22,Less than 25,African-American,0,7,0,0,0,-2,2013-05-07 04:52:05,2013-05-08 01:00:04,13006538CF10A,2013-05-07,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-09,Risk of Violence,5,Medium,2013-05-09,2013-05-07,2013-05-08,0,0,1058,0,0,0 +9886,carballo olazabal,carballo,olazabal,2013-03-06,Male,1984-02-23,32,25 - 45,Hispanic,0,1,0,0,1,-47,2013-01-18 10:07:02,2013-01-19 08:57:08,13000867CF10A,2013-01-18,,47,F,Uttering Forged Credit Card,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-06,Risk of Violence,2,Low,2013-03-06,2013-01-18,2013-01-19,1,0,1122,0,0,0 +9888,gideon smith,gideon,smith,2013-04-12,Male,1977-02-06,39,25 - 45,African-American,0,4,0,0,8,-1,2013-04-11 02:07:58,2013-05-21 06:41:12,13005388CF10A,2013-04-11,,1,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-12,Risk of Violence,2,Low,2013-04-12,2013-04-11,2013-05-21,8,39,1085,0,0,0 +9889,david walker,david,walker,2013-08-15,Male,1980-04-28,35,25 - 45,African-American,0,6,0,0,9,-1,2013-08-14 03:08:13,2013-08-15 07:53:31,13011431CF10A,2013-08-14,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-15,Risk of Violence,3,Low,2013-08-15,2015-09-25,2015-09-30,9,0,771,0,0,0 +9890,bryan ashley,bryan,ashley,2014-01-21,Male,1989-08-05,26,25 - 45,African-American,0,1,0,0,1,0,2014-01-21 01:53:43,2014-02-04 07:20:36,14000990MM10A,2014-01-21,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-21,Risk of Violence,2,Low,2014-01-21,2014-08-04,2014-08-04,1,14,195,0,0,0 +9891,traci sapp,traci,sapp,2013-02-27,Male,1989-04-01,27,25 - 45,African-American,0,2,0,0,1,0,2013-02-27 12:25:38,2013-02-27 02:41:09,13009902CF10A,2013-02-26,,1,F,Crim Use of Personal ID Info,1,15010744MM10A,(M1),0,2015-10-13,Extradition/Defendants,2015-10-13,2015-10-29,,0,,,,,Risk of Recidivism,2,Low,2013-02-27,Risk of Violence,3,Low,2013-02-27,2013-05-21,2013-05-22,1,0,83,0,0,0 +9892,anthony andrews,anthony,andrews,2014-06-24,Male,1988-12-20,27,25 - 45,African-American,0,10,0,0,5,-28,2014-05-27 08:49:05,2014-06-24 11:02:54,14006758CF10A,,2014-05-27,28,F,arrest case no charge,1,14013667CF10A,(M2),0,2014-09-06,Felony Battery w/Prior Convict,2014-09-06,2015-04-16,,1,14013667CF10A,(M2),2014-09-06,Felony Battery w/Prior Convict,Risk of Recidivism,10,High,2014-06-24,Risk of Violence,5,Medium,2014-06-24,2014-09-06,2015-04-16,5,0,74,1,1,1 +9894,cassandra robinson,cassandra,robinson,2014-08-27,Female,1981-06-15,34,25 - 45,Caucasian,0,9,0,0,10,22,2014-09-18 11:18:42,2014-10-02 09:03:17,14008082CF10A,2014-06-11,,77,F,Possession of Cocaine,1,15008674MM10A,(M1),0,2015-08-16,Battery,2015-08-16,2015-08-20,,1,15008674MM10A,(M1),2015-08-16,Battery,Risk of Recidivism,9,High,2014-08-27,Risk of Violence,5,Medium,2014-08-27,2014-09-18,2014-10-02,10,0,22,0,1,1 +9899,mania simon,mania,simon,2014-02-06,Male,1988-06-18,27,25 - 45,African-American,0,2,0,0,2,104,2014-05-21 12:16:18,2014-06-22 03:06:35,13004765MM10A,2013-03-09,,334,M,Posses/Disply Susp/Revk/Frd DL,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-06,Risk of Violence,2,Low,2014-02-06,2014-05-21,2014-06-22,2,0,104,0,0,0 +9900,kevin morales,kevin,morales,2013-04-29,Male,1988-09-09,27,25 - 45,Hispanic,0,6,0,0,6,1026,2016-02-19 05:00:40,2016-03-04 08:51:57,11003049CF10A,,2012-09-19,222,F,arrest case no charge,1,16001632MM10A,(M1),0,2016-02-19,Possess Cannabis/20 Grams Or Less,2016-02-19,2016-03-04,,0,,,,,Risk of Recidivism,6,Medium,2013-04-29,Risk of Violence,6,Medium,2013-04-29,2016-02-19,2016-03-04,6,0,1026,1,0,0 +9902,qushondra fields,qushondra,fields,2014-12-17,Female,1983-12-13,32,25 - 45,African-American,0,1,0,0,0,0,2014-12-17 01:46:31,2014-12-17 08:04:44,14017743MM10A,2014-12-16,,1,M,Battery,1,15016551CF10A,(F2),,2015-12-28,Throw Deadly Missile Into Veh,,,,1,15016551CF10A,(F2),2015-12-28,Throw Deadly Missile Into Veh,Risk of Recidivism,1,Low,2014-12-17,Risk of Violence,1,Low,2014-12-17,2014-12-17,2014-12-17,0,0,376,1,1,1 +9906,ivan vera,ivan,vera,2013-07-18,Male,1973-02-07,43,25 - 45,Caucasian,0,2,0,0,4,-55,2013-05-24 08:57:03,2013-05-25 10:31:58,13021578TC10A,2013-05-24,,55,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-18,Risk of Violence,1,Low,2013-07-18,2013-05-24,2013-05-25,4,0,988,0,0,0 +9907,john seymore,john,seymore,2013-04-24,Male,1963-11-25,52,Greater than 45,African-American,0,9,0,0,7,-1,2013-04-23 04:49:37,2013-08-19 02:59:15,13005828CF10A,2013-04-23,,1,F,Possession of Cocaine,1,13014298CF10A,(M1),0,2013-10-12,Possess Drug Paraphernalia,2013-10-12,2013-11-13,,1,13014298CF10A,(F2),2013-10-12,Aggravated Battery / Pregnant,Risk of Recidivism,9,High,2013-04-24,Risk of Violence,3,Low,2013-04-24,2013-10-12,2013-11-13,7,117,171,1,1,1 +9908,britton blackwood,britton,blackwood,2013-09-13,Male,1994-05-25,21,Less than 25,African-American,0,10,0,0,2,0,2013-09-13 06:24:14,2013-09-14 04:42:09,13012966CF10A,2013-09-13,,0,F,Tampering With Physical Evidence,1,13022505MM10A,(M1),,2013-09-27,Carrying A Concealed Weapon,,,,1,15000392CF10A,(F2),2014-09-24,Armed False Imprisonment,Risk of Recidivism,10,High,2013-09-13,Risk of Violence,10,High,2013-09-13,2013-09-13,2013-09-14,2,1,14,1,1,1 +9910,shedrich hines,shedrich,hines,2013-07-16,Male,1994-10-09,21,Less than 25,African-American,0,9,0,0,1,34,2013-08-19 07:24:28,2014-09-18 07:00:41,13002313CF10A,2013-02-13,,153,F,Carrying Concealed Firearm,1,13011627CF10A,(F2),0,2013-08-19,Robbery / No Weapon,2013-08-19,2014-09-18,,1,13011627CF10A,(F2),2013-08-19,Robbery / No Weapon,Risk of Recidivism,9,High,2013-07-16,Risk of Violence,9,High,2013-07-16,2013-08-19,2014-09-18,1,0,34,1,1,1 +9912,ana olivaconsuegra,ana,olivaconsuegra,2013-08-26,Male,1990-03-26,26,25 - 45,Hispanic,0,6,0,0,0,-1,2013-08-25 01:25:15,2013-08-25 05:58:19,13011965CF10A,2013-08-25,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-26,Risk of Violence,4,Low,2013-08-26,2013-08-25,2013-08-25,0,0,949,0,0,0 +9915,enrique cruz,enrique,cruz,2013-10-14,Male,1977-02-04,39,25 - 45,Hispanic,0,1,0,0,3,,,,13016657MM10A,2013-08-30,,45,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-14,Risk of Violence,1,Low,2013-10-14,,,3,0,900,0,0,0 +9917,onique williams,onique,williams,2013-05-12,Male,1985-01-23,31,25 - 45,African-American,0,1,0,0,1,-1,2013-05-11 03:14:46,2013-05-12 07:01:24,13009134MM10A,2013-05-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-12,Risk of Violence,2,Low,2013-05-12,2013-05-11,2013-05-12,1,0,1055,0,0,0 +9918,alan malone,alan,malone,2013-05-27,Male,1981-04-24,34,25 - 45,Caucasian,0,5,0,0,1,-1,2013-05-26 09:18:06,2013-05-27 06:09:09,13010121MM10A,2013-05-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-27,Risk of Violence,5,Medium,2013-05-27,2013-05-26,2013-05-27,1,0,1040,0,0,0 +9919,jamie elliot,jamie,elliot,2013-04-07,Male,1983-12-15,32,25 - 45,African-American,0,4,0,0,0,-1,2013-04-06 10:24:59,2013-04-07 01:32:06,13004960CF10A,2013-04-06,,1,M,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-07,Risk of Violence,3,Low,2013-04-07,2013-04-06,2013-04-07,0,0,1090,0,0,0 +9920,nadine chambers,nadine,chambers,2013-08-12,Female,1965-08-08,50,Greater than 45,Caucasian,0,3,0,0,0,-3,2013-08-09 01:00:46,2013-08-09 06:29:32,13014985MM10A,2013-08-08,,4,M,Driving Under The Influence,1,13017330MM10A,(M1),1,2013-09-11,Battery,2013-09-12,2013-09-13,,1,13017330MM10A,(M1),2013-09-11,Battery,Risk of Recidivism,3,Low,2013-08-12,Risk of Violence,1,Low,2013-08-12,2014-11-19,2014-11-20,0,0,30,1,1,1 +9921,vincent green,vincent,green,2013-04-13,Male,1988-06-03,27,25 - 45,African-American,0,5,0,0,1,-1,2013-04-12 09:18:59,2013-04-13 08:25:20,13005305CF10A,2013-04-12,,1,M,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-13,Risk of Violence,3,Low,2013-04-13,2014-03-05,2014-08-15,1,0,326,0,0,0 +9922,krystal patterson,krystal,patterson,2014-01-17,Female,1989-05-23,26,25 - 45,African-American,0,3,1,0,4,-1,2014-01-16 09:09:35,2014-01-18 12:04:24,14000707CF10A,,2014-01-16,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-17,Risk of Violence,3,Low,2014-01-17,2014-01-16,2014-01-18,4,1,805,0,0,0 +9923,jeremy watts,jeremy,watts,2014-10-27,Male,1989-03-31,27,25 - 45,African-American,1,5,0,0,4,-1,2014-10-26 10:19:20,2014-10-28 04:09:18,14014428CF10A,2014-10-26,,1,F,Aggravated Assault W/Dead Weap,1,15000454CF10A,(F3),0,2015-01-10,Poss Pyrrolidinovalerophenone,2015-01-10,2015-01-11,,1,15005533CF10A,(F3),2015-04-27,Agg Assault W/int Com Fel Dome,Risk of Recidivism,5,Medium,2014-10-27,Risk of Violence,3,Low,2014-10-27,2015-01-10,2015-01-11,4,1,75,1,1,1 +9931,jean fils-aime,jean,fils-aime,2013-01-13,Male,1957-07-31,58,Greater than 45,African-American,0,1,0,0,0,-1,2013-01-12 03:18:57,2013-01-13 12:41:21,13000730MM10A,2013-01-11,,2,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-13,Risk of Violence,1,Low,2013-01-13,2013-01-12,2013-01-13,0,0,1174,0,0,0 +9935,kevin soto,kevin,soto,2013-04-18,Male,1991-07-27,24,Less than 25,African-American,0,10,5,1,15,-1,2013-04-17 07:43:21,2013-04-19 09:18:18,13005510CF10A,2013-04-17,,1,F,Deliver Cocaine,1,13012172CF10A,(F2),,2013-08-28,Aggravated Battery,,,,1,13012172CF10A,(F2),2013-08-28,Aggravated Battery,Risk of Recidivism,10,High,2013-04-18,Risk of Violence,9,High,2013-04-18,2013-04-17,2013-04-19,15,1,132,1,1,1 +9939,wilfredo torres,wilfredo,torres,2013-12-02,Male,1965-07-01,50,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-01 05:20:31,2013-12-02 09:13:00,13022384MM10A,2013-12-01,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-02,Risk of Violence,1,Low,2013-12-02,2013-12-01,2013-12-02,0,0,851,0,0,0 +9942,adriano suarez,adriano,suarez,2013-11-17,Male,1970-01-02,46,Greater than 45,Hispanic,0,1,0,0,0,-1,2013-11-16 06:24:35,2013-11-17 08:15:11,13015946CF10A,2013-11-16,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-17,Risk of Violence,1,Low,2013-11-17,2013-11-16,2013-11-17,0,0,866,0,0,0 +9948,elijah garland,elijah,garland,2013-02-06,Male,1982-01-03,34,25 - 45,African-American,0,7,0,0,10,-1,2013-02-05 05:25:18,2013-02-06 07:15:25,13001779CF10A,2013-02-05,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-06,Risk of Violence,5,Medium,2013-02-06,2013-02-05,2013-02-06,10,0,1150,0,0,0 +9949,luis otero,luis,otero,2014-03-14,Male,1960-01-28,56,Greater than 45,Hispanic,0,1,0,0,2,-108,2013-11-26 02:29:01,2013-11-27 03:32:27,13016699CF10A,,2013-11-26,108,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-14,Risk of Violence,1,Low,2014-03-14,2013-11-26,2013-11-27,2,0,749,0,0,0 +9951,diego garzon,diego,garzon,2014-01-18,Male,1989-10-14,26,25 - 45,Caucasian,0,2,0,0,2,-1,2014-01-17 04:03:50,2014-01-20 08:01:13,14000753CF10A,2014-01-17,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-18,Risk of Violence,3,Low,2014-01-18,2014-01-17,2014-01-20,2,2,804,0,0,0 +9952,jason boucher,jason,boucher,2013-01-16,Male,1984-05-14,31,25 - 45,Caucasian,0,1,0,0,0,-1,2013-01-15 07:55:01,2013-01-16 06:46:25,13000712CF10A,2013-01-15,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-16,Risk of Violence,1,Low,2013-01-16,2013-07-29,2013-09-19,0,0,194,0,0,0 +9955,marlon dunlop,marlon,dunlop,2013-09-17,Male,1976-10-02,39,25 - 45,African-American,0,1,0,0,0,-1,2013-09-16 07:16:33,2013-10-04 09:01:33,13013088CF10A,2013-09-16,,1,F,Kidnapping / Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-17,Risk of Violence,1,Low,2013-09-17,2013-09-16,2013-10-04,0,17,927,0,0,0 +9959,chanel hooper,chanel,hooper,2013-10-08,Female,1993-09-04,22,Less than 25,African-American,0,6,0,0,0,-1,2013-10-07 03:03:48,2013-10-08 08:59:33,13019072MM10A,2013-10-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-08,Risk of Violence,5,Medium,2013-10-08,2013-10-07,2013-10-08,0,0,906,0,0,0 +9960,josalina afonso,josalina,afonso,2013-09-14,Female,1990-05-21,25,25 - 45,African-American,0,2,0,0,0,-1,2013-09-13 08:03:52,2013-09-14 07:39:15,13017497MM10A,2013-09-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-14,Risk of Violence,3,Low,2013-09-14,2013-09-13,2013-09-14,0,0,930,0,0,0 +9963,leontae williams,leontae,williams,2013-10-20,Female,1994-11-01,21,Less than 25,African-American,0,9,1,0,2,-1,2013-10-19 07:50:05,2013-10-20 08:38:22,13014630CF10A,2013-10-19,,1,F,Crimin Mischief Damage $1000+,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-20,Risk of Violence,6,Medium,2013-10-20,2013-10-19,2013-10-20,2,0,894,0,0,0 +9965,justin koven,justin,koven,2014-02-12,Male,1995-05-06,20,Less than 25,Caucasian,0,4,0,0,1,-1,2014-02-11 03:24:41,2014-02-12 02:37:51,14001933CF10A,2014-02-11,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-12,Risk of Violence,6,Medium,2014-02-12,2014-02-11,2014-02-12,1,0,779,0,0,0 +9966,tracy butler,tracy,butler,2014-06-30,Male,1961-08-15,54,Greater than 45,African-American,0,5,0,0,12,0,2014-06-30 04:03:25,2014-10-26 04:37:21,14010073MM10A,2014-06-30,,0,M,Battery,1,14015969CF10A,(M1),0,2014-11-29,Viol Injunct Domestic Violence,2014-11-29,2015-12-15,,1,14015969CF10A,(F2),2014-11-29,Throw Deadly Missile Into Veh,Risk of Recidivism,5,Medium,2014-06-30,Risk of Violence,2,Low,2014-06-30,2014-11-29,2015-12-15,12,118,152,1,1,1 +9968,shavoria lewis,shavoria,lewis,2013-01-15,Female,1988-07-01,27,25 - 45,African-American,0,6,0,0,2,-1,2013-01-14 07:34:35,2013-01-18 08:28:33,13000621CF10A,2013-01-14,,1,F,Felony Petit Theft,1,13040414TC10A,(M2),,2013-10-02,Unlaw LicTag/Sticker Attach,,,,1,14006149CF10A,(F3),2014-05-02,Robbery Sudd Snatch No Weapon,Risk of Recidivism,6,Medium,2013-01-15,Risk of Violence,4,Low,2013-01-15,2013-01-14,2013-01-18,2,3,260,1,1,1 +9971,nancy howard,nancy,howard,2014-03-22,Female,1961-01-18,55,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-21 09:28:46,2014-03-22 10:57:58,14004007CF10A,2014-03-21,,1,F,Battery on a Person Over 65,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-22,Risk of Violence,1,Low,2014-03-22,2014-03-21,2014-03-22,0,0,741,0,0,0 +9972,vatoria adderly,vatoria,adderly,2014-01-23,Male,1991-07-01,24,Less than 25,African-American,0,2,0,0,0,-1,2014-01-22 10:18:38,2014-01-23 02:17:27,14001109MM10A,2014-01-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-23,Risk of Violence,3,Low,2014-01-23,2014-01-22,2014-01-23,0,0,799,0,0,0 +9973,bruce francis,bruce,francis,2014-11-22,Male,1995-11-14,20,Less than 25,African-American,0,10,0,1,0,0,2014-11-22 04:56:51,2014-11-22 08:49:03,14015731CF10A,2014-11-22,,0,F,Possession of Cocaine,1,15000919CF10A,(F3),,2015-01-21,Tampering With Physical Evidence,,,,1,15000919CF10A,(F3),2015-01-21,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-11-22,Risk of Violence,9,High,2014-11-22,2014-12-13,2014-12-13,0,0,21,0,1,1 +9979,brittany holt,brittany,holt,2013-07-02,Female,1982-01-22,34,25 - 45,Caucasian,0,1,0,0,1,-21,2013-06-11 09:42:12,2013-06-12 11:45:38,13011225MM10A,2013-06-11,,21,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-02,Risk of Violence,2,Low,2013-07-02,2013-06-11,2013-06-12,1,0,1004,0,0,0 +9984,alan-michael caldwell,alan-michael,caldwell,2013-01-27,Male,1991-05-06,24,Less than 25,African-American,0,8,0,0,0,0,2013-01-27 04:17:45,2013-01-28 06:51:41,13001345CF10A,2013-01-27,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-01-27,Risk of Violence,6,Medium,2013-01-27,2013-01-27,2013-01-28,0,1,1160,0,0,0 +9985,nathan mcmullen,nathan,mcmullen,2013-12-11,Male,1974-03-18,42,25 - 45,Caucasian,0,4,0,0,8,-1,2013-12-10 08:19:39,2013-12-11 09:07:56,13017074CF10A,2013-12-10,,1,F,Agg Fleeing and Eluding,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-11,Risk of Violence,4,Low,2013-12-11,2014-01-28,2014-01-29,8,0,48,0,0,0 +9988,nichole stupart,nichole,stupart,2013-06-05,Female,1976-01-03,40,25 - 45,African-American,0,1,0,0,1,-73,2013-03-24 12:28:55,2013-03-25 05:28:38,13004261CF10A,2013-03-24,,73,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-05,Risk of Violence,1,Low,2013-06-05,2013-03-24,2013-03-25,1,0,1031,0,0,0 +9991,wilfredo rodriguez,wilfredo,rodriguez,2014-01-31,Male,1995-12-30,20,Less than 25,Caucasian,0,4,0,0,0,-1,2014-01-30 08:42:46,2014-02-03 01:10:07,14001693MM10A,2014-01-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-31,Risk of Violence,7,Medium,2014-01-31,2014-01-30,2014-02-03,0,3,791,0,0,0 +9997,stefan walters,stefan,walters,2013-10-02,Male,1995-07-04,20,Less than 25,African-American,0,4,0,0,0,-1,2013-10-01 05:18:33,2013-10-02 07:35:45,13018695MM10A,2013-10-01,,1,M,Assault,1,15012675MM10A,(M1),0,2015-12-07,Resist/Obstruct W/O Violence,2015-12-07,2015-12-09,,1,15012675MM10A,(M1),2015-12-07,Battery,Risk of Recidivism,4,Low,2013-10-02,Risk of Violence,7,Medium,2013-10-02,2015-12-07,2015-12-09,0,0,796,1,0,0 +10004,jarvis cornelius,jarvis,cornelius,2013-02-12,Male,1989-01-14,27,25 - 45,African-American,0,5,0,0,5,-1,2013-02-11 11:48:35,2013-02-12 08:12:58,13006473TC10A,2013-02-11,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-12,Risk of Violence,4,Low,2013-02-12,2013-02-11,2013-02-12,5,0,1144,0,0,0 +10006,korbin goodroad,korbin,goodroad,2013-09-14,Male,1995-04-21,20,Less than 25,Caucasian,0,10,0,0,0,-1,2013-09-13 10:01:25,2013-09-14 06:55:45,13017499MM10A,2013-09-13,,1,M,Battery,1,15000261MM10A,(M1),0,2015-01-07,Battery,2015-01-07,2015-01-14,,1,15000261MM10A,(M1),2015-01-07,Battery,Risk of Recidivism,10,High,2013-09-14,Risk of Violence,9,High,2013-09-14,2015-01-07,2015-01-14,0,0,480,1,1,1 +10007,sharkiem adams,sharkiem,adams,2013-10-07,Male,1995-09-21,20,Less than 25,African-American,0,6,0,0,0,-3,2013-10-04 01:09:32,2013-10-04 08:43:28,13013887CF10A,2013-10-03,,4,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-07,Risk of Violence,8,High,2013-10-07,2013-10-04,2013-10-04,0,0,907,0,0,0 +10009,travis whitehead,travis,whitehead,2013-02-22,Male,1986-05-03,29,25 - 45,African-American,0,7,0,0,9,0,2013-02-22 12:02:01,2013-02-27 06:08:00,13000793CF10A,,2013-02-21,1,F,arrest case no charge,1,13025307TC10A,(M1),0,2013-05-29,Opert With Susp DL 2nd Offens,2013-05-29,2013-05-30,,1,13008106CF10A,(F3),2013-06-07,Agg Fleeing and Eluding,Risk of Recidivism,7,Medium,2013-02-22,Risk of Violence,4,Low,2013-02-22,2013-05-29,2013-05-30,9,5,96,1,1,1 +10018,sheleike barnett,sheleike,barnett,2013-04-13,Female,1991-04-22,24,Less than 25,African-American,0,5,0,0,0,0,2013-04-13 02:30:21,2013-04-13 08:04:17,13005345CF10A,2013-04-12,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-13,Risk of Violence,4,Low,2013-04-13,2013-04-13,2013-04-13,0,0,1084,0,0,0 +10020,trevor benn,trevor,benn,2013-04-12,Male,1989-04-08,27,25 - 45,Caucasian,0,4,0,0,0,0,2013-04-12 01:52:14,2013-04-24 04:49:29,13005313CF10A,2013-04-12,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-12,Risk of Violence,3,Low,2013-04-12,2013-09-22,2013-09-23,0,12,163,0,0,0 +10021,adam magazinik,adam,magazinik,2013-05-10,Male,1991-10-08,24,Less than 25,Caucasian,0,4,0,0,0,-2,2013-05-08 11:38:39,2013-05-09 07:58:28,13006597CF10A,2013-05-08,,2,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-10,Risk of Violence,4,Low,2013-05-10,2013-05-08,2013-05-09,0,0,1057,0,0,0 +10022,louvens jean,louvens,jean,2014-06-25,Male,1984-10-12,31,25 - 45,African-American,0,6,1,0,6,27,2014-07-22 09:26:47,2014-09-09 05:03:17,13021490MM10A,2013-09-07,,291,M,Battery,1,14009996CF10A,(F1),0,2014-07-22,Robbery W/Firearm,2014-07-22,2014-09-09,,1,14009996CF10A,(F1),2014-07-22,Robbery W/Firearm,Risk of Recidivism,6,Medium,2014-06-25,Risk of Violence,8,High,2014-06-25,2014-07-22,2014-09-09,6,0,27,1,1,1 +10027,priscilla pierce,priscilla,pierce,2013-10-29,Female,1970-02-12,46,Greater than 45,African-American,0,6,0,0,4,-56,2013-09-03 10:53:16,2013-10-29 10:16:41,13012440CF10A,,2013-09-03,56,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-29,Risk of Violence,3,Low,2013-10-29,2014-06-04,2014-07-30,4,0,218,0,0,0 +10028,vincent dukes,vincent,dukes,2014-01-14,Male,1962-09-25,53,Greater than 45,African-American,0,9,0,0,3,-241,2013-05-18 08:26:07,2013-12-10 10:30:00,06001402MM40A,,2006-06-28,2757,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-14,Risk of Violence,3,Low,2014-01-14,2014-10-03,2014-12-18,3,0,262,0,0,0 +10029,kevin maitland,kevin,maitland,2013-11-09,Male,1962-04-18,54,Greater than 45,Caucasian,0,1,0,0,0,0,2013-11-09 03:27:48,2013-11-09 11:53:54,13015632CF10A,2013-11-08,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-09,Risk of Violence,1,Low,2013-11-09,2013-11-09,2013-11-09,0,0,874,0,0,0 +10033,latosha rattray,latosha,rattray,2013-02-06,Female,1980-12-12,35,25 - 45,African-American,0,6,0,0,7,-1,2013-02-05 09:43:24,2013-02-07 09:37:23,12013834CF10A,,2013-02-05,1,F,arrest case no charge,1,13010536CF10A,(M1),0,2013-07-27,Possess Cannabis/20 Grams Or Less,2013-07-27,2013-07-28,,1,13010536CF10A,(F3),2013-07-27,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2013-02-06,Risk of Violence,2,Low,2013-02-06,2013-07-27,2013-07-28,7,1,171,1,1,1 +10035,theodore evans,theodore,evans,2013-12-25,Female,1963-02-07,53,Greater than 45,African-American,0,5,0,0,0,-1,2013-12-24 02:24:05,2013-12-25 12:32:56,13017753CF10A,2013-12-24,,1,F,Dealing in Stolen Property,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-25,Risk of Violence,1,Low,2013-12-25,2013-12-24,2013-12-25,0,0,828,0,0,0 +10036,byron wright,byron,wright,2013-01-29,Male,1989-06-13,26,25 - 45,African-American,0,4,0,0,9,-1,2013-01-28 06:59:53,2013-01-30 04:16:27,13002013MM10A,2013-01-28,,1,M,Petit Theft,1,13008037MM10A,(M1),0,2013-04-07,Possess Cannabis/20 Grams Or Less,2013-04-07,2013-04-08,,1,13010718CF10A,(F2),2013-07-31,Aggravated Battery / Pregnant,Risk of Recidivism,4,Low,2013-01-29,Risk of Violence,4,Low,2013-01-29,2013-04-07,2013-04-08,9,1,68,1,1,1 +10042,owen fowler,owen,fowler,2013-08-29,Male,1990-09-16,25,25 - 45,African-American,0,7,0,0,6,0,2013-08-29 05:19:21,2013-08-29 08:03:30,13012222CF10A,2013-08-29,,0,F,"Poss 3,4 MDMA (Ecstasy)",1,13017649CF10A,(F2),0,2013-12-22,Robbery / No Weapon,2013-12-22,2014-01-16,,1,13017649CF10A,(F2),2013-12-22,Robbery / No Weapon,Risk of Recidivism,7,Medium,2013-08-29,Risk of Violence,4,Low,2013-08-29,2013-09-20,2013-09-30,6,0,22,0,1,1 +10043,kim aragona,kim,aragona,2013-03-23,Female,1967-03-10,49,Greater than 45,Caucasian,0,1,0,0,0,0,2013-03-23 12:39:51,2013-03-23 07:51:22,13004216CF10A,2013-03-22,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-23,Risk of Violence,1,Low,2013-03-23,2013-03-23,2013-03-23,0,0,1105,0,0,0 +10047,daryl junck,daryl,junck,2013-03-01,Male,1958-05-05,57,Greater than 45,Caucasian,0,1,0,0,0,-2,2013-02-27 09:46:46,2013-02-27 07:21:49,13002997CF10A,,2013-02-27,2,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-02-27,2013-02-27,0,0,1127,0,0,0 +10050,fabienne joseph,fabienne,joseph,2013-02-06,Female,1982-02-12,34,25 - 45,Other,0,2,0,0,0,212,2013-09-06 01:01:59,2013-09-19 11:14:20,13001778CF10A,2013-02-05,,1,F,Felony Battery (Dom Strang),1,15012384CF10A,(F2),161,2015-06-12,Aggravated Battery / Pregnant,2015-11-20,2015-11-25,,1,15012384CF10A,(F2),2015-06-12,Aggravated Battery / Pregnant,Risk of Recidivism,2,Low,2013-02-06,Risk of Violence,1,Low,2013-02-06,2013-09-06,2013-09-19,0,0,212,0,0,0 +10051,gregory schmidt,gregory,schmidt,2014-03-09,Male,1990-08-27,25,25 - 45,Caucasian,0,10,0,0,5,-1,2014-03-08 07:11:38,2014-04-12 08:35:12,14003296CF10A,2014-03-08,,1,F,Possession of Oxycodone,1,14012121CF10A,(M1),1,2014-09-04,Petit Theft $100- $300,2014-09-05,2015-04-07,,1,16002414CF10A,(F3),2015-12-31,Felony Battery (Dom Strang),Risk of Recidivism,10,High,2014-03-09,Risk of Violence,5,Medium,2014-03-09,2014-03-08,2014-04-12,5,34,179,1,1,1 +10052,marcus johnson,marcus,johnson,2014-03-28,Female,1974-03-26,42,25 - 45,African-American,0,5,0,0,1,-1,2014-03-27 11:06:29,2014-03-28 01:10:38,14004358CF10A,2014-03-27,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-28,Risk of Violence,4,Low,2014-03-28,2014-03-27,2014-03-28,1,0,735,0,0,0 +10054,edwin nesbitt,edwin,nesbitt,2013-04-30,Male,1965-01-08,51,Greater than 45,African-American,0,5,0,0,1,0,2013-04-30 03:07:58,2013-04-30 07:51:46,13006194CF10A,2013-04-30,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-04-30,Risk of Violence,1,Low,2013-04-30,2013-04-30,2013-04-30,1,0,1067,0,0,0 +10055,daniel baptiste,daniel,baptiste,2014-01-09,Male,1989-11-08,26,25 - 45,African-American,0,7,0,0,7,,,,11014497CF10A,2011-08-25,,868,F,Sell Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-09,Risk of Violence,7,Medium,2014-01-09,,,7,0,813,0,0,0 +10056,sheldon smellie,sheldon,smellie,2013-05-01,Male,1984-11-19,31,25 - 45,Other,0,2,1,0,5,0,2013-05-01 05:24:33,2013-05-02 12:30:07,13008467MM10A,2013-05-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-01,Risk of Violence,2,Low,2013-05-01,2013-05-01,2013-05-02,5,1,1066,0,0,0 +10057,keandre twiggs,keandre,twiggs,2013-02-19,Male,1982-03-14,34,25 - 45,African-American,0,8,1,0,9,,,,07013022CF10A,,2009-05-02,1389,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-19,Risk of Violence,7,Medium,2013-02-19,,,9,0,1137,0,0,0 +10058,jeffrey simmons,jeffrey,simmons,2013-01-23,Male,1963-01-13,53,Greater than 45,African-American,0,5,0,0,13,-1,2013-01-22 09:49:03,2013-01-24 05:38:32,11011337MM10A,,2013-01-22,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-23,Risk of Violence,3,Low,2013-01-23,2016-03-01,2020-01-01,13,1,1133,0,0,0 +10059,christy harris,christy,harris,2013-01-19,Female,1972-11-13,43,25 - 45,African-American,0,7,0,0,6,0,2013-01-19 02:59:22,2013-01-19 06:49:07,13000900CF10A,2013-01-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-19,Risk of Violence,3,Low,2013-01-19,2013-01-19,2013-01-19,6,0,1168,0,0,0 +10061,justin warner,justin,warner,2014-03-17,Male,1981-09-17,34,25 - 45,African-American,0,1,0,0,0,-3,2014-03-14 08:24:54,2014-03-15 11:00:52,14003635CF10A,2014-03-14,,3,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-17,Risk of Violence,2,Low,2014-03-17,2014-03-14,2014-03-15,0,0,746,0,0,0 +10064,medius clermontvil,medius,clermontvil,2014-01-02,Male,1964-06-19,51,Greater than 45,African-American,0,1,0,0,0,-1,2014-01-01 10:17:16,2014-01-07 05:52:03,14000031MU10A,2014-01-01,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-02,Risk of Violence,1,Low,2014-01-02,2014-01-01,2014-01-07,0,5,820,0,0,0 +10065,joseph walls,joseph,walls,2013-09-30,Male,1989-09-06,26,25 - 45,Caucasian,0,4,0,0,1,-1,2013-09-29 03:52:04,2013-09-30 03:51:12,13018484MM10A,2013-09-29,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-30,Risk of Violence,3,Low,2013-09-30,2013-09-29,2013-09-30,1,0,914,0,0,0 +10066,larry jones,larry,jones,2014-01-12,Male,1968-12-10,47,Greater than 45,African-American,0,6,0,0,5,-1,2014-01-11 08:21:16,2014-01-13 11:49:59,14000487CF10A,2014-01-11,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-12,Risk of Violence,1,Low,2014-01-12,2014-01-11,2014-01-13,5,1,810,0,0,0 +10068,daniel berrios,daniel,berrios,2013-03-29,Male,1993-09-17,22,Less than 25,Caucasian,0,4,0,1,0,-1,2013-03-28 03:18:17,2013-03-29 01:00:12,13004481CF10A,2013-03-28,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-29,Risk of Violence,5,Medium,2013-03-29,2013-03-28,2013-03-29,0,0,1099,0,0,0 +10069,katherine soto,katherine,soto,2013-02-22,Female,1979-07-25,36,25 - 45,Caucasian,0,2,0,0,0,0,2013-02-22 01:45:11,2013-02-23 02:08:52,13002757CF10A,2013-02-22,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-22,Risk of Violence,1,Low,2013-02-22,2013-02-22,2013-02-23,0,1,1134,0,0,0 +10071,amy matos,amy,matos,2014-01-01,Female,1980-02-06,36,25 - 45,Hispanic,0,3,0,0,1,0,2014-01-01 03:20:24,2014-01-02 12:43:01,14000038MM10A,2014-01-01,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-01,Risk of Violence,1,Low,2014-01-01,2014-01-01,2014-01-02,1,1,821,0,0,0 +10073,tina green,tina,green,2014-01-16,Male,1978-09-25,37,25 - 45,African-American,0,2,0,0,2,,,,13011810MM10A,2012-08-20,,514,M,Compulsory Attendance Violation,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-16,Risk of Violence,2,Low,2014-01-16,,,2,0,806,0,0,0 +10076,deshaud johnson,deshaud,johnson,2013-08-08,Male,1994-12-16,21,Less than 25,African-American,0,4,0,0,2,-34,2013-07-05 03:20:23,2013-08-08 11:01:12,13009448CF10A,2013-07-05,,34,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-08,Risk of Violence,6,Medium,2013-08-08,2013-07-05,2013-08-08,2,0,967,0,0,0 +10077,floyd taylor,floyd,taylor,2013-02-27,Male,1990-12-22,25,25 - 45,African-American,0,6,3,1,6,-1,2013-02-26 07:19:35,2013-02-27 01:47:04,13003995MM10A,2013-02-26,,1,M,Viol Prot Injunc Repeat Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-27,Risk of Violence,7,Medium,2013-02-27,2013-02-26,2013-02-27,6,0,1129,0,0,0 +10078,alex velazquezmontalvo,alex,velazquezmontalvo,2014-12-30,Male,1988-07-09,27,25 - 45,Hispanic,0,4,0,0,1,284,2015-10-10 03:19:34,2015-10-13 09:13:04,12000304CF10A,2012-01-07,,1088,F,Possession of Hydrocodone,1,15010602MM10A,(M1),0,2015-10-10,Battery,2015-10-10,2015-10-13,,1,15010602MM10A,(M1),2015-10-10,Battery,Risk of Recidivism,4,Low,2014-12-30,Risk of Violence,3,Low,2014-12-30,2015-10-10,2015-10-13,1,0,284,1,1,1 +10083,corey ackerman,corey,ackerman,2014-03-24,Male,1982-04-25,33,25 - 45,Caucasian,0,1,0,0,0,-2,2014-03-22 09:56:34,2014-03-23 09:11:43,14005003MM10A,2014-03-22,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-24,Risk of Violence,1,Low,2014-03-24,2014-03-22,2014-03-23,0,0,739,0,0,0 +10084,josh gamali,josh,gamali,2013-01-11,Male,1969-08-10,46,Greater than 45,Caucasian,0,5,0,0,5,,,,09000911CF10A,,2012-11-07,65,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-11,Risk of Violence,6,Medium,2013-01-11,,,5,0,1176,0,0,0 +10088,marissa moore,marissa,moore,2013-02-21,Female,1987-06-15,28,25 - 45,African-American,0,2,0,0,1,-1,2013-02-20 07:08:26,2013-02-21 02:17:32,13002603CF10A,2013-02-20,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-21,Risk of Violence,2,Low,2013-02-21,2013-02-20,2013-02-21,1,0,1135,0,0,0 +10091,christopher parris,christopher,parris,2013-10-12,Male,1987-12-25,28,25 - 45,African-American,1,5,0,0,5,-1,2013-10-11 10:21:51,2014-03-31 09:15:58,13014398CF10A,,2013-10-11,1,F,arrest case no charge,1,13014398CF10A,(F3),,2013-11-08,Stalking (Aggravated),,,,1,13014398CF10A,(F3),2013-11-08,Stalking (Aggravated),Risk of Recidivism,5,Medium,2013-10-12,Risk of Violence,5,Medium,2013-10-12,2013-10-11,2014-03-31,5,0,27,1,1,1 +10094,nicholas rodriguez-bustios,nicholas,rodriguez-bustios,2013-12-28,Male,1995-09-12,20,Less than 25,Caucasian,0,3,0,0,0,0,2013-12-28 04:39:38,2013-12-28 01:09:58,13017909CF10A,2013-12-28,,0,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-28,Risk of Violence,6,Medium,2013-12-28,2013-12-28,2013-12-28,0,0,825,0,0,0 +10095,frederick newbold,frederick,newbold,2014-02-22,Male,1988-05-12,27,25 - 45,African-American,0,3,0,0,2,-1,2014-02-21 11:56:38,2014-02-22 08:20:38,14002479CF10A,2014-02-21,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-22,Risk of Violence,3,Low,2014-02-22,2014-02-21,2014-02-22,2,0,769,0,0,0 +10096,tressing blake,tressing,blake,2014-03-13,Female,1991-07-28,24,Less than 25,Other,0,4,0,0,0,-1,2014-03-12 04:58:21,2014-03-13 09:56:12,14003527CF10A,2014-03-12,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-03-13,Risk of Violence,4,Low,2014-03-13,2014-03-12,2014-03-13,0,0,750,0,0,0 +10105,alexander semino,alexander,semino,2013-03-07,Male,1984-05-22,31,25 - 45,Caucasian,0,9,0,0,8,-31,2013-02-04 05:49:21,2013-03-04 10:55:34,13002537MM10A,2013-02-04,,31,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-07,Risk of Violence,2,Low,2013-03-07,2013-02-04,2013-03-04,8,0,1121,0,0,0 +10107,dushane detrie,dushane,detrie,2013-06-14,Female,1977-01-06,39,25 - 45,African-American,0,5,0,0,1,7,2013-06-21 12:08:12,2013-08-23 05:50:00,12009221CF10A,,2013-02-13,121,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-06-14,Risk of Violence,5,Medium,2013-06-14,2013-06-21,2013-08-23,1,0,7,0,0,0 +10111,alon cambridge,alon,cambridge,2013-03-06,Male,1989-07-16,26,25 - 45,African-American,0,2,0,0,0,-1,2013-03-05 06:19:03,2013-03-06 07:39:50,13003319CF10A,2013-03-05,,1,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-06,Risk of Violence,3,Low,2013-03-06,2013-03-05,2013-03-06,0,0,1122,0,0,0 +10115,jonathan smith,jonathan,smith,2013-07-31,Male,1981-01-19,35,25 - 45,African-American,0,2,0,0,5,,,,09013475CF10A,2009-07-20,,1472,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-07-31,Risk of Violence,2,Low,2013-07-31,,,5,0,975,0,0,0 +10118,william aguront,william,aguront,2014-03-27,Male,1960-06-06,55,Greater than 45,Hispanic,0,1,0,0,0,-1,2014-03-26 11:17:06,2014-03-27 01:36:50,14005235MM10A,2014-03-26,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-27,Risk of Violence,1,Low,2014-03-27,2014-03-26,2014-03-27,0,0,736,0,0,0 +10124,danielle camargo,danielle,camargo,2013-12-10,Female,1989-03-23,27,25 - 45,Caucasian,0,2,0,0,2,,,,12140584TC30A,2012-10-06,,430,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-10,Risk of Violence,4,Low,2013-12-10,,,2,0,843,0,0,0 +10125,francisco huerta,francisco,huerta,2014-07-20,Male,1966-04-02,50,Greater than 45,Hispanic,0,1,0,0,5,-1,2014-07-19 05:07:48,2014-07-23 03:00:15,14009885CF10A,2014-07-19,,1,F,Felony Driving While Lic Suspd,1,14016704MM10A,(M1),0,2014-11-23,Battery,2014-11-23,2014-11-24,,1,14016704MM10A,(M1),2014-11-23,Battery,Risk of Recidivism,1,Low,2014-07-20,Risk of Violence,1,Low,2014-07-20,2014-11-23,2014-11-24,5,3,126,1,1,1 +10127,frank moore,frank,moore,2013-05-11,Male,1959-05-09,56,Greater than 45,Caucasian,0,7,0,0,5,-1,2013-05-10 10:14:08,2013-05-11 06:45:31,13006713MO10A,,2013-05-10,1,M,arrest case no charge,1,15013112MM10A,(M1),,2015-12-20,Resist/Obstruct W/O Violence,,,,1,16000007CF10A,(F3),2015-12-31,Felony Battery w/Prior Convict,Risk of Recidivism,7,Medium,2013-05-11,Risk of Violence,3,Low,2013-05-11,2013-07-09,2013-07-10,5,0,59,0,0,0 +10130,ruth battiste,ruth,battiste,2013-10-26,Female,1968-01-28,48,Greater than 45,African-American,0,1,0,0,1,-1,2013-10-25 07:58:22,2013-10-26 01:19:41,87018952CF10A,1987-11-07,,9485,F,Possess Controlled Substance,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-26,Risk of Violence,1,Low,2013-10-26,2013-10-25,2013-10-26,1,0,888,0,0,0 +10131,vashay johnson,vashay,johnson,2013-02-19,Male,1994-05-21,21,Less than 25,African-American,0,9,0,0,1,-1,2013-02-18 07:28:38,2013-02-20 03:44:17,13002481CF10A,2013-02-18,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-02-19,Risk of Violence,10,High,2013-02-19,2013-03-25,2013-04-15,1,1,34,0,0,0 +10133,kevin lutz,kevin,lutz,2013-08-15,Male,1980-06-23,35,25 - 45,Caucasian,0,2,0,0,0,-1,2013-08-14 04:31:57,2013-08-14 08:03:04,13015388MM10A,2013-08-14,,1,M,Expired DL More Than 6 Months,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-15,Risk of Violence,2,Low,2013-08-15,2013-08-14,2013-08-14,0,0,960,0,0,0 +10137,jean louidor,jean,louidor,2014-01-07,Male,1984-03-01,32,25 - 45,African-American,0,7,0,0,0,-1,2014-01-06 11:10:48,2014-01-31 03:41:01,14000240CF10A,2014-01-06,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-07,Risk of Violence,4,Low,2014-01-07,2014-01-06,2014-01-31,0,24,815,0,0,0 +10138,yoalbert francocoa,yoalbert,francocoa,2014-01-24,Male,1982-07-20,33,25 - 45,Hispanic,0,2,0,0,1,-90,2013-10-26 08:54:45,2013-12-12 04:56:35,13020323MM10A,2013-10-26,,90,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-24,Risk of Violence,4,Low,2014-01-24,2013-10-26,2013-12-12,1,0,798,0,0,0 +10142,pascal gilles,pascal,gilles,2014-03-03,Male,1990-12-29,25,25 - 45,African-American,0,8,0,0,2,-96,2013-11-27 09:34:00,2014-01-28 11:23:47,13007341CF10A,,2013-11-27,96,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-03-03,Risk of Violence,6,Medium,2014-03-03,2013-11-27,2014-01-28,2,0,760,0,0,0 +10143,joshua staley,joshua,staley,2013-05-14,Male,1989-09-14,26,25 - 45,African-American,0,8,0,0,13,31,2013-06-14 04:52:53,2013-06-25 08:13:32,13000765MM10A,2013-01-12,,122,M,Unlawful Use Of Police Badges,1,16002870MM10A,(M1),0,2016-03-28,,2016-03-28,2016-03-29,,0,,,,,Risk of Recidivism,8,High,2013-05-14,Risk of Violence,5,Medium,2013-05-14,2013-06-14,2013-06-25,13,0,31,0,0,0 +10145,yoleida santiago,yoleida,santiago,2014-02-08,Female,1971-08-30,44,25 - 45,Hispanic,0,1,0,0,0,-1,2014-02-07 01:15:55,2014-02-08 09:36:04,14002174MM10A,2014-02-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-08,Risk of Violence,1,Low,2014-02-08,2014-02-07,2014-02-08,0,0,783,0,0,0 +10151,heather ortegachin,heather,ortegachin,2013-06-24,Female,1968-11-03,47,Greater than 45,Hispanic,0,1,0,0,1,-61,2013-04-24 08:09:28,2013-04-26 10:39:26,13005878CF10A,2013-04-24,,61,F,Burglary Conveyance Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-24,Risk of Violence,1,Low,2013-06-24,2013-04-24,2013-04-26,1,0,1012,0,0,0 +10159,christopher petinaud,christopher,petinaud,2013-11-04,Male,1966-09-19,49,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-11-03 02:19:59,2013-11-04 01:27:56,13015387CF10A,2013-11-03,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-04,Risk of Violence,1,Low,2013-11-04,2013-11-03,2013-11-04,0,0,879,0,0,0 +10161,brandi clay,brandi,clay,2013-11-17,Female,1975-08-21,40,25 - 45,Caucasian,0,2,0,0,0,0,2013-11-17 04:36:43,2013-11-17 07:27:46,13015985CF10A,2013-11-17,,0,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-17,Risk of Violence,2,Low,2013-11-17,2013-11-17,2013-11-17,0,0,866,0,0,0 +10163,damion clark,damion,clark,2014-01-22,Male,1993-10-22,22,Less than 25,African-American,0,6,0,0,4,-12,2014-01-10 05:28:07,2014-01-11 01:47:04,14001431TC10A,2014-01-10,,12,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-22,Risk of Violence,5,Medium,2014-01-22,2014-01-10,2014-01-11,4,0,800,0,0,0 +10166,christine aghazadian,christine,aghazadian,2014-02-26,Female,1964-10-03,51,Greater than 45,Caucasian,0,1,0,0,1,-98,2013-11-20 08:48:32,2013-11-22 06:17:17,13016130CF10A,2013-11-20,,98,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-26,Risk of Violence,1,Low,2014-02-26,2013-11-20,2013-11-22,1,0,765,0,0,0 +10168,john pereira,john,pereira,2013-10-31,Male,1966-08-07,49,Greater than 45,Caucasian,0,1,0,0,1,-26,2013-10-05 11:23:30,2013-10-06 08:39:07,13018953MM10A,2013-10-05,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-31,Risk of Violence,1,Low,2013-10-31,2013-10-05,2013-10-06,1,0,883,0,0,0 +10173,chancy mallory,chancy,mallory,2013-08-14,Male,1985-07-26,30,25 - 45,African-American,0,8,0,1,8,-42,2013-07-03 08:03:26,2013-08-05 02:44:49,13012733MM10A,2013-07-03,,42,M,Battery,1,13015213CF10A,(F3),0,2013-10-31,Aggravated Assault w/Firearm,2013-10-31,2013-12-05,,1,13015213CF10A,(F3),2013-10-31,Aggravated Assault w/Firearm,Risk of Recidivism,8,High,2013-08-14,Risk of Violence,4,Low,2013-08-14,2013-10-31,2013-12-05,8,0,78,1,1,1 +10176,frank wilson,frank,wilson,2014-07-03,Male,1974-07-01,41,25 - 45,African-American,0,6,0,3,12,0,2014-07-03 03:36:03,2014-07-03 08:55:01,14009173CF10A,2014-07-03,,0,F,Possession Of Alprazolam,1,14016731CF10A,(M2),0,2014-12-17,Operating W/O Valid License,2014-12-17,2014-12-18,,1,15015386CF10A,(F3),2015-11-25,Aggravated Assault W/Dead Weap,Risk of Recidivism,6,Medium,2014-07-03,Risk of Violence,3,Low,2014-07-03,2014-12-17,2014-12-18,12,0,167,1,1,1 +10178,teoman algur,teoman,algur,2014-01-14,Male,1969-07-15,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-01-13 06:55:02,2014-01-14 07:59:33,14000563CF10A,2014-01-13,,1,F,Manufacture Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-13,2014-01-14,0,0,808,0,0,0 +10179,james felder,james,felder,2013-12-05,Male,1958-08-11,57,Greater than 45,African-American,0,1,0,0,2,-1,2013-12-04 01:33:31,2013-12-05 01:31:32,91018509MM10A,,2001-04-12,4620,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2013-12-04,2013-12-05,2,0,848,0,0,0 +10180,cecelia baptiste-gilmore,cecelia,baptiste-gilmore,2013-12-06,Female,1972-04-10,44,25 - 45,Caucasian,0,3,0,0,1,-31,2013-11-05 08:36:22,2013-12-06 04:12:38,13020899MM10A,2013-11-05,,31,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-06,Risk of Violence,1,Low,2013-12-06,2013-11-05,2013-12-06,1,0,847,0,0,0 +10181,antonio walsh,antonio,walsh,2014-03-24,Male,1984-04-16,32,25 - 45,African-American,0,9,0,0,0,0,2014-03-24 01:13:18,2014-03-24 02:24:51,14004093CF10A,2014-03-23,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-24,Risk of Violence,6,Medium,2014-03-24,2014-03-31,2014-04-01,0,0,7,0,0,0 +10183,julius howard,julius,howard,2013-03-16,Male,1980-01-24,36,25 - 45,African-American,0,9,0,0,1,-1,2013-03-15 02:14:16,2013-03-16 06:13:47,13005160MM10A,2013-03-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-03-16,Risk of Violence,3,Low,2013-03-16,2013-03-15,2013-03-16,1,0,1112,0,0,0 +10184,steven pearson,steven,pearson,2014-01-26,Male,1985-08-11,30,25 - 45,African-American,0,8,0,0,1,-1,2014-01-25 08:21:42,2014-01-26 08:06:05,14001396MM10A,2014-01-25,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2014-01-26,Risk of Violence,6,Medium,2014-01-26,2014-01-25,2014-01-26,1,0,796,0,0,0 +10185,wayne stover,wayne,stover,2013-02-01,Male,1988-01-13,28,25 - 45,African-American,0,2,0,0,0,-1,2013-01-31 04:31:47,2013-02-05 09:12:13,13002274MO10A,2013-01-31,,1,M,Manage Busn W/O City Occup Lic,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-01,Risk of Violence,3,Low,2013-02-01,2013-01-31,2013-02-05,0,4,1155,0,0,0 +10189,cornelius nealy,cornelius,nealy,2014-03-13,Male,1986-07-11,29,25 - 45,African-American,1,10,0,0,8,-1,2014-03-12 04:15:38,2014-03-19 02:55:41,14003494CF10A,2014-03-12,,1,F,Possession of Cocaine,1,14008075CF10A,(F2),,2014-03-25,Aggrav Battery w/Deadly Weapon,,,,1,14008075CF10A,(F2),2014-03-25,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,10,High,2014-03-13,Risk of Violence,9,High,2014-03-13,2014-03-12,2014-03-19,8,6,12,1,1,1 +10193,sherrod robinson,sherrod,robinson,2013-11-12,Male,1994-05-04,21,Less than 25,African-American,0,5,0,0,1,-1,2013-11-11 09:30:11,2013-11-27 05:46:00,13015676CF10A,2013-11-11,,1,M,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-11-12,Risk of Violence,6,Medium,2013-11-12,2013-11-11,2013-11-27,1,15,871,0,0,0 +10194,calodius washington,calodius,washington,2013-08-30,Male,1993-02-08,23,Less than 25,African-American,1,8,0,0,5,24,2013-09-23 03:15:15,2013-09-24 04:26:21,13012247CF10A,2013-08-29,,1,F,Possession Burglary Tools,1,14006813CF10A,(F1),27,2014-04-19,Aid/Abet Burglary Assault/Batt,2014-05-16,2014-10-18,,1,14006813CF10A,(F1),2014-04-19,Aid/Abet Burglary Assault/Batt,Risk of Recidivism,8,High,2013-08-30,Risk of Violence,6,Medium,2013-08-30,2013-09-23,2013-09-24,5,0,24,0,1,1 +10195,thery cineus,thery,cineus,2013-10-18,Male,1988-05-17,27,25 - 45,Other,0,1,0,0,0,-1,2013-10-17 09:39:04,2013-10-18 07:48:37,13019715MM10A,2013-10-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-18,Risk of Violence,2,Low,2013-10-18,2013-10-17,2013-10-18,0,0,896,0,0,0 +10196,frank rose,frank,rose,2013-08-07,Male,1990-07-16,25,25 - 45,Caucasian,0,9,0,0,4,-30,2013-07-08 05:10:41,2013-07-09 12:58:59,13009539CF10A,2013-07-08,,30,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-07,Risk of Violence,7,Medium,2013-08-07,2013-07-08,2013-07-09,4,0,968,0,0,0 +10198,jermaine jean-francois,jermaine,jean-francois,2013-10-14,Male,1980-10-15,35,25 - 45,Other,0,5,0,0,2,-1,2013-10-13 04:47:31,2013-10-14 01:58:27,13014340CF10A,2013-10-13,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-14,Risk of Violence,3,Low,2013-10-14,2013-10-13,2013-10-14,2,0,900,0,0,0 +10201,juan rojassoto,juan,rojassoto,2013-03-23,Male,1980-12-11,35,25 - 45,Hispanic,0,2,0,0,0,-1,2013-03-22 07:50:40,2013-06-17 10:48:31,13004176CF10A,2013-03-22,,1,F,Tamper With Witness/Victim/CI,1,14011500MM10A,(M1),0,2014-07-28,Battery,2014-07-28,2014-07-30,,1,14011500MM10A,(M1),2014-07-28,Battery,Risk of Recidivism,2,Low,2013-03-23,Risk of Violence,2,Low,2013-03-23,2014-07-28,2014-07-30,0,86,492,1,1,1 +10202,jalicia brooks,jalicia,brooks,2014-07-29,Female,1990-06-01,25,25 - 45,African-American,0,8,0,0,1,-1,2014-07-28 01:24:31,2014-07-29 02:03:29,14011486MM10A,2014-07-28,,1,M,Battery,1,15001078MM10A,(M1),0,2015-01-27,Battery,2015-01-27,2015-02-03,,1,15001078MM10A,(M1),2015-01-27,Battery,Risk of Recidivism,8,High,2014-07-29,Risk of Violence,3,Low,2014-07-29,2015-01-27,2015-02-03,1,0,182,1,1,1 +10207,marvin darlington,marvin,darlington,2013-11-26,Male,1980-09-25,35,25 - 45,African-American,0,6,0,0,9,-1,2013-11-25 04:37:30,2013-11-26 08:46:49,13016387CF10A,2013-11-25,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-26,Risk of Violence,5,Medium,2013-11-26,2013-11-25,2013-11-26,9,0,857,0,0,0 +10208,josue petithomme,josue,petithomme,2013-02-09,Male,1982-10-02,33,25 - 45,Caucasian,0,3,0,0,4,,,,12006176MM10A,2012-03-25,,321,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-09,Risk of Violence,3,Low,2013-02-09,,,4,0,1147,0,0,0 +10209,chris mcinerney,chris,mcinerney,2013-07-19,Male,1977-09-08,38,25 - 45,Caucasian,0,1,0,0,8,,,,09018661CF10A,,2013-06-28,21,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-19,Risk of Violence,1,Low,2013-07-19,,,8,0,987,0,0,0 +10210,barry wells,barry,wells,2013-08-17,Male,1984-01-10,32,25 - 45,African-American,0,9,0,0,0,-1,2013-08-16 11:16:03,2013-08-17 09:02:19,13011522CF10A,2013-08-16,,1,M,Operating W/O Valid License,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-08-17,Risk of Violence,7,Medium,2013-08-17,2013-08-16,2013-08-17,0,0,958,0,0,0 +10211,tatiana kennon,tatiana,kennon,2013-09-25,Female,1993-03-28,23,Less than 25,African-American,0,4,0,0,0,-1,2013-09-24 09:39:00,2013-09-25 04:30:03,13018226MM10A,2013-09-24,,1,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-25,Risk of Violence,5,Medium,2013-09-25,2013-09-24,2013-09-25,0,0,919,0,0,0 +10212,eddie durizil,eddie,durizil,2013-02-20,Male,1949-03-03,67,Greater than 45,African-American,0,2,0,0,3,,,,10021864CF10A,2010-12-14,,799,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,,,3,0,1136,0,0,0 +10214,jamar wright,jamar,wright,2013-02-11,Male,1992-05-07,23,Less than 25,African-American,1,10,1,2,4,-1,2013-02-10 05:11:00,2013-03-13 05:49:48,13002040CF10A,2013-02-10,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-11,Risk of Violence,10,High,2013-02-11,2015-02-28,2015-10-18,4,30,747,0,0,0 +10216,kristina hughes,kristina,hughes,2013-02-07,Female,1989-07-26,26,25 - 45,African-American,0,8,0,0,0,-1,2013-02-06 04:54:37,2013-02-07 09:44:01,13005770TC10A,2013-02-06,,1,M,Opert With Susp DL 2nd Offens,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-02-07,Risk of Violence,4,Low,2013-02-07,2013-02-06,2013-02-07,0,0,1149,0,0,0 +10220,earnest robinson,earnest,robinson,2013-01-11,Male,1991-09-21,24,Less than 25,African-American,0,3,0,0,1,-1,2013-01-10 08:39:13,2013-01-11 01:20:52,13000459CF10A,2013-01-10,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-01-11,Risk of Violence,4,Low,2013-01-11,2013-01-10,2013-01-11,1,0,1176,0,0,0 +10223,torrey thomas,torrey,thomas,2013-03-08,Male,1978-08-04,37,25 - 45,African-American,0,7,0,0,0,-1,2013-03-07 12:47:41,2013-03-08 08:42:21,13010216TC10A,2013-03-07,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-08,Risk of Violence,2,Low,2013-03-08,2013-03-07,2013-03-08,0,0,1120,0,0,0 +10224,anthony serphin,anthony,serphin,2013-03-26,Male,1987-04-06,29,25 - 45,African-American,0,5,0,0,0,-1,2013-03-25 11:37:18,2013-03-26 12:39:33,13004330CF10A,2013-03-25,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-26,Risk of Violence,3,Low,2013-03-26,2013-03-25,2013-03-26,0,0,1102,0,0,0 +10225,dwayne brown,dwayne,brown,2013-08-01,Male,1982-04-16,34,25 - 45,Other,0,2,0,0,0,-2,2013-07-30 11:30:14,2013-08-01 11:30:58,13010664CF10A,2013-07-30,,2,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2013-07-30,2013-08-01,0,0,974,0,0,0 +10228,anthony angotti,anthony,angotti,2014-03-30,Male,1966-06-10,49,Greater than 45,Caucasian,0,1,0,0,3,-1,2014-03-29 03:30:24,2014-03-30 01:04:04,14004425CF10A,2014-03-29,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-03-29,2014-03-30,3,0,733,0,0,0 +10229,quaice bowen,quaice,bowen,2013-02-26,Male,1984-10-31,31,25 - 45,African-American,0,2,0,0,2,-1,2013-02-25 08:42:56,2013-02-26 06:47:03,13002563CF10A,,2013-02-25,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-26,Risk of Violence,2,Low,2013-02-26,2013-02-25,2013-02-26,2,0,1130,0,0,0 +10230,robert madera,robert,madera,2014-03-12,Male,1956-09-28,59,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-11 11:17:30,2014-03-12 01:43:28,14004245MM10A,2014-03-11,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-12,Risk of Violence,1,Low,2014-03-12,2014-03-11,2014-03-12,0,0,751,0,0,0 +10233,alquan isaac,alquan,isaac,2013-03-06,Male,1992-07-02,23,Less than 25,African-American,0,5,0,1,1,-1,2013-03-05 08:58:59,2013-03-06 07:35:04,13003285CF10A,2013-03-05,,1,F,Possession Burglary Tools,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-06,Risk of Violence,5,Medium,2013-03-06,2013-03-05,2013-03-06,1,0,1122,0,0,0 +10235,rafael frazier,rafael,frazier,2013-11-19,Male,1993-08-01,22,Less than 25,African-American,0,9,0,0,1,-1,2013-11-18 05:01:48,2013-11-23 01:08:06,13016016CF10A,2013-11-18,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-11-19,Risk of Violence,7,Medium,2013-11-19,2013-11-18,2013-11-23,1,4,864,0,0,0 +10239,rosny abraham,rosny,abraham,2013-02-11,Male,1979-06-09,36,25 - 45,African-American,0,1,0,0,0,-1,2013-02-10 11:35:53,2013-02-11 07:32:57,13002053CF10A,2013-02-10,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-11,Risk of Violence,1,Low,2013-02-11,2013-02-10,2013-02-11,0,0,1145,0,0,0 +10242,frank marrero,frank,marrero,2014-01-10,Male,1984-06-07,31,25 - 45,Caucasian,0,7,0,0,3,0,2014-01-10 04:47:43,2014-01-10 08:01:12,14001432MU10A,2014-01-10,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-10,Risk of Violence,9,High,2014-01-10,2014-01-10,2014-01-10,3,0,812,0,0,0 +10243,isabel veliz,isabel,veliz,2013-06-03,Female,1987-02-28,29,25 - 45,Hispanic,0,3,0,0,0,-3,2013-05-31 11:18:22,2013-06-01 09:00:05,13010467MM10A,2013-05-31,,3,M,Disorderly Conduct,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-06-03,Risk of Violence,2,Low,2013-06-03,2013-05-31,2013-06-01,0,0,1033,0,0,0 +10250,chavon grant,chavon,grant,2013-03-12,Male,1990-10-23,25,25 - 45,African-American,0,10,0,0,7,258,2013-11-25 12:49:37,2013-12-10 10:30:00,12015976CF10A,2012-10-29,,134,F,Grand Theft in the 3rd Degree,1,15013032CF10A,(F3),,2015-09-22,Grand Theft (Motor Vehicle),,,,0,,,,,Risk of Recidivism,10,High,2013-03-12,Risk of Violence,10,High,2013-03-12,2013-11-25,2013-12-10,7,0,258,0,0,0 +10251,chance drake,chance,drake,2013-12-12,Male,1989-11-29,26,25 - 45,Caucasian,0,2,0,0,0,-1,2013-12-11 03:26:14,2013-12-13 02:54:48,13017122CF10A,2013-12-11,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-12,Risk of Violence,3,Low,2013-12-12,2013-12-11,2013-12-13,0,1,841,0,0,0 +10252,quintavious rogers,quintavious,rogers,2013-04-20,Male,1991-05-23,24,Less than 25,African-American,0,4,0,0,0,-1,2013-04-19 06:59:47,2013-04-20 01:45:28,13007609MM10A,2013-04-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-20,Risk of Violence,5,Medium,2013-04-20,2013-04-19,2013-04-20,0,0,1077,0,0,0 +10253,daniel staime,daniel,staime,2014-02-24,Male,1973-01-26,43,25 - 45,Other,0,1,0,0,1,-3,2014-02-21 10:15:16,2014-02-22 08:01:25,14002496CF10A,2014-02-21,,3,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-24,Risk of Violence,1,Low,2014-02-24,2014-02-21,2014-02-22,1,0,767,0,0,0 +10254,jackie denmark,jackie,denmark,2014-01-28,Male,1988-07-01,27,25 - 45,African-American,1,9,2,0,11,-1,2014-01-27 06:29:28,2014-01-30 10:05:05,14001202CF10A,2014-01-27,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-01-28,Risk of Violence,10,High,2014-01-28,2014-01-27,2014-01-30,11,2,794,0,0,0 +10256,adrian arabitg,adrian,arabitg,2013-09-12,Male,1987-07-02,28,25 - 45,Caucasian,0,4,0,0,4,-1,2013-09-11 10:31:41,2014-03-20 11:22:47,13012884CF10A,,2013-09-11,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-12,Risk of Violence,3,Low,2013-09-12,2013-09-11,2014-03-20,4,189,932,0,0,0 +10257,wendy saintjuste,wendy,saintjuste,2013-11-19,Female,1982-11-10,33,25 - 45,Other,0,2,0,0,0,-1,2013-11-18 04:55:48,2013-11-19 01:28:31,13016007CF10A,2013-11-18,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-19,Risk of Violence,2,Low,2013-11-19,2013-11-18,2013-11-19,0,0,864,0,0,0 +10258,james rivelli,james,rivelli,2014-08-12,Male,1961-07-02,54,Greater than 45,Caucasian,0,3,0,0,3,-1,2014-08-11 06:33:16,2014-08-20 05:15:20,14010958CF10A,2014-08-11,,1,F,Grand Theft in the 3rd Degree,1,15005530CF10A,(F2),0,2015-04-27,Robbery / No Weapon,2015-04-27,2015-05-28,,1,15005530CF10A,(F2),2015-04-27,Robbery / No Weapon,Risk of Recidivism,3,Low,2014-08-12,Risk of Violence,2,Low,2014-08-12,2015-04-27,2015-05-28,3,8,258,1,1,1 +10259,scott kaplan,scott,kaplan,2013-10-03,Male,1958-09-05,57,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-10-02 02:21:50,2013-10-03 08:05:30,13018775MM10A,2013-10-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-03,Risk of Violence,1,Low,2013-10-03,2013-10-02,2013-10-03,0,0,911,0,0,0 +10261,gregory holmes,gregory,holmes,2013-05-29,Male,1985-07-04,30,25 - 45,African-American,0,2,0,0,2,-1,2013-05-28 07:18:38,2013-06-13 11:44:39,13007621CF10A,2013-05-28,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-29,Risk of Violence,2,Low,2013-05-29,2013-05-28,2013-06-13,2,15,1038,0,0,0 +10262,geranie barthelemy,geranie,barthelemy,2013-11-15,Male,1988-12-16,27,25 - 45,Other,0,1,0,0,0,-1,2013-11-14 05:26:11,2013-11-15 08:37:24,13021468MM10A,2013-11-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-15,Risk of Violence,2,Low,2013-11-15,2013-11-14,2013-11-15,0,0,868,0,0,0 +10267,ieasha forbes,ieasha,forbes,2013-04-19,Female,1985-02-21,31,25 - 45,African-American,0,8,0,0,4,0,2013-04-19 12:52:18,2013-04-20 07:47:51,13005632CF10A,2013-04-19,,0,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-04-19,Risk of Violence,5,Medium,2013-04-19,2013-04-19,2013-04-20,4,1,1078,0,0,0 +10269,nestor garciabonille,nestor,garciabonille,2013-02-25,Male,1987-03-01,29,25 - 45,Caucasian,0,3,0,0,0,-1,2013-02-24 05:30:21,2013-02-25 02:06:05,13002816CF10A,2013-02-24,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-25,Risk of Violence,3,Low,2013-02-25,2013-02-24,2013-02-25,0,0,1131,0,0,0 +10270,kathleen lopez,kathleen,lopez,2013-08-20,Female,1986-10-10,29,25 - 45,Hispanic,0,2,0,0,0,-2,2013-08-18 03:04:45,2013-08-19 06:39:02,13015652MM10A,2013-08-18,,2,M,Battery,1,14009892CF10A,(F2),0,2014-07-20,Aggrav Battery w/Deadly Weapon,2014-07-20,2014-07-21,,1,14009892CF10A,(F2),2014-07-20,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,2,Low,2013-08-20,Risk of Violence,2,Low,2013-08-20,2014-07-20,2014-07-21,0,0,334,1,1,1 +10271,yuniel arteaga,yuniel,arteaga,2013-05-21,Male,1983-01-26,33,25 - 45,Hispanic,0,3,0,0,2,-5,2013-05-16 02:28:47,2013-05-20 12:42:46,13032329TC10A,2013-05-07,,14,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-05-21,Risk of Violence,4,Low,2013-05-21,2013-06-26,2013-06-27,2,0,36,0,0,0 +10272,amber rivero,amber,rivero,2013-09-19,Male,1993-12-04,22,Less than 25,African-American,0,4,0,0,0,-1,2013-09-18 08:17:23,2013-09-19 09:03:46,13017794MM10A,2013-09-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-09-19,Risk of Violence,6,Medium,2013-09-19,2013-09-18,2013-09-19,0,0,925,0,0,0 +10273,winston elvie,winston,elvie,2013-04-03,Male,1988-01-11,28,25 - 45,African-American,0,3,0,0,2,-75,2013-01-18 06:03:59,2013-04-02 06:39:17,13001056CF10A,,2013-01-18,75,F,arrest case no charge,1,15061875TC30A,(M2),,2015-09-03,Operating W/O Valid License,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-03,Risk of Violence,3,Low,2013-04-03,2013-01-18,2013-04-02,2,0,883,1,0,0 +10274,jermaine burrows,jermaine,burrows,2013-02-08,Male,1981-02-05,35,25 - 45,African-American,0,8,0,0,0,-1,2013-02-07 11:05:34,2013-02-09 04:44:20,13002784MM10A,2013-02-07,,1,M,Battery,1,13009113CF10A,(F2),,2013-05-09,Aggrav Battery w/Deadly Weapon,,,,1,13009113CF10A,(F2),2013-05-09,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,8,High,2013-02-08,Risk of Violence,7,Medium,2013-02-08,2013-02-07,2013-02-09,0,1,90,1,1,1 +10277,james jenkins,james,jenkins,2013-08-04,Male,1985-11-17,30,25 - 45,African-American,0,7,1,0,14,-1,2013-08-03 05:56:23,2013-08-09 05:28:24,13010873CF10A,2013-08-03,,1,F,Driving While License Revoked,1,15012989CF10A,(M1),0,2015-10-07,Trespass/Property/Other Structure,2015-10-07,2015-11-09,,0,,,,,Risk of Recidivism,7,Medium,2013-08-04,Risk of Violence,7,Medium,2013-08-04,2013-10-24,2013-12-15,14,5,81,0,0,0 +10279,mary merisier,mary,merisier,2013-09-23,Female,1971-10-09,44,25 - 45,African-American,0,2,0,0,1,-45,2013-08-09 12:13:11,2013-08-11 08:29:45,13011204CF10A,2013-08-09,,45,M,Aggrav Child Abuse-Agg Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,2,Low,2013-09-23,2013-08-09,2013-08-11,1,0,921,0,0,0 +10281,clara igelesias,clara,igelesias,2013-02-23,Female,1952-08-12,63,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-22 12:28:15,2013-02-23 08:11:17,13003763MM10A,2013-02-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-23,0,0,1133,0,0,0 +10288,daniot joachim,daniot,joachim,2014-02-17,Male,1981-10-13,34,25 - 45,Other,0,2,0,0,3,-1,2014-02-16 12:26:37,2014-02-17 08:46:28,14002691MM10A,2014-02-16,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-17,Risk of Violence,2,Low,2014-02-17,2014-02-16,2014-02-17,3,0,774,0,0,0 +10289,eric lever,eric,lever,2014-11-23,Male,1979-09-18,36,25 - 45,Caucasian,0,8,0,0,0,-1,2014-11-22 01:25:52,2014-12-29 07:37:30,14015736CF10A,2014-11-22,,1,F,Possession of Cocaine,1,15003835MM10A,(M1),0,2015-04-02,Battery,2015-04-02,2015-04-15,,1,15003835MM10A,(M1),2015-04-02,Battery,Risk of Recidivism,8,High,2014-11-23,Risk of Violence,3,Low,2014-11-23,2015-04-02,2015-04-15,0,36,130,1,1,1 +10292,saloman theoc,saloman,theoc,2013-03-20,Male,1994-06-09,21,Less than 25,African-American,0,8,0,0,0,-1,2013-03-19 06:14:41,2013-03-20 08:19:04,13003995CF10A,2013-03-19,,1,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-03-20,Risk of Violence,8,High,2013-03-20,2014-06-29,2014-07-17,0,0,466,0,0,0 +10293,robert holmes,robert,holmes,2013-12-04,Male,1992-09-26,23,Less than 25,Caucasian,0,3,0,0,1,-1,2013-12-03 05:09:32,2013-12-04 12:08:32,13016720CF10A,2013-12-03,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-04,Risk of Violence,4,Low,2013-12-04,2013-12-03,2013-12-04,1,0,849,0,0,0 +10295,rodney king,rodney,king,2013-10-25,Male,1960-10-13,55,Greater than 45,African-American,0,5,0,0,1,-43,2013-09-12 07:59:53,2013-10-25 10:48:52,13008253CF10A,,2013-09-12,43,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-25,Risk of Violence,5,Medium,2013-10-25,2013-09-12,2013-10-25,1,0,889,0,0,0 +10296,dennis davis,dennis,davis,2013-02-28,Male,1975-09-03,40,25 - 45,African-American,0,3,0,0,1,-1,2013-02-27 11:00:44,2013-05-14 07:21:12,12014798CF10A,,2013-02-27,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-28,Risk of Violence,1,Low,2013-02-28,2013-02-27,2013-05-14,1,75,1128,0,0,0 +10298,richard mckenzie,richard,mckenzie,2013-01-07,Male,1985-11-19,30,25 - 45,African-American,0,5,0,0,3,-1,2013-01-06 07:35:14,2013-01-08 05:21:10,13000306MM10A,2013-01-06,,1,M,Battery,1,14009816TC10A,(M2),0,2014-03-11,Susp Drivers Lic 1st Offense,2014-03-11,2014-03-11,,1,16001323CF10A,(F1),2016-01-13,Home Invasion Robbery,Risk of Recidivism,5,Medium,2013-01-07,Risk of Violence,5,Medium,2013-01-07,2014-03-11,2014-03-11,3,1,428,0,1,1 +10299,haratio cooke,haratio,cooke,2013-09-08,Male,1974-07-31,41,25 - 45,African-American,0,5,0,0,1,-1,2013-09-07 07:00:04,2013-09-09 03:23:49,13017065MM10A,2013-09-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-09-08,Risk of Violence,2,Low,2013-09-08,2013-09-07,2013-09-09,1,1,936,0,0,0 +10300,charles fichtner,charles,fichtner,2013-01-21,Male,1960-03-18,56,Greater than 45,Caucasian,0,1,0,0,0,0,2013-01-21 01:47:08,2013-01-21 11:01:20,13001358MM10A,2013-01-20,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-21,Risk of Violence,1,Low,2013-01-21,2013-01-21,2013-01-21,0,0,1166,0,0,0 +10302,robert parker,robert,parker,2013-10-23,Male,1955-01-20,61,Greater than 45,African-American,0,2,0,0,14,-1,2013-10-22 07:34:15,2013-10-23 07:47:51,13020020MO10A,2013-10-22,,1,M,Poss Of Controlled Substance,1,15015851CF10A,(F3),,2015-12-11,Possession of Cocaine,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-23,Risk of Violence,2,Low,2013-10-23,2013-10-22,2013-10-23,14,0,779,1,0,0 +10307,robert austin,robert,austin,2013-01-06,Male,1984-05-01,31,25 - 45,African-American,2,6,0,0,6,-1,2013-01-05 11:46:29,2013-01-31 09:56:53,13000224CF10A,2013-01-05,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-06,Risk of Violence,6,Medium,2013-01-06,2013-01-05,2013-01-31,6,25,1181,0,0,0 +10313,normando cooper,normando,cooper,2013-08-01,Male,1983-05-25,32,25 - 45,African-American,1,10,0,2,4,-1,2013-07-31 10:15:26,2013-08-04 09:42:54,12007620CF10A,2012-05-23,,435,F,Poss Cocaine/Intent To Del/Sel,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-08-01,Risk of Violence,9,High,2013-08-01,2013-07-31,2013-08-04,4,3,974,0,0,0 +10316,alvyn doman,alvyn,doman,2013-01-21,Male,1959-09-22,56,Greater than 45,Other,0,1,0,0,0,-1,2013-01-20 07:13:34,2013-01-21 08:18:53,13001378MM10A,2013-01-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-21,Risk of Violence,1,Low,2013-01-21,2013-01-20,2013-01-21,0,0,1166,0,0,0 +10317,william ogburn,william,ogburn,2014-01-23,Male,1953-08-15,62,Greater than 45,African-American,0,1,0,0,0,0,2014-01-23 03:30:01,2014-01-23 08:50:24,14002677MU10A,2014-01-23,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-23,Risk of Violence,1,Low,2014-01-23,2014-01-23,2014-01-23,0,0,799,0,0,0 +10327,michael nocie,michael,nocie,2014-03-11,Male,1993-03-12,23,Less than 25,Caucasian,0,5,0,0,0,-1,2014-03-10 08:14:12,2014-03-11 01:13:40,14004145MM10A,2014-03-10,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-11,Risk of Violence,6,Medium,2014-03-11,2014-03-10,2014-03-11,0,0,752,0,0,0 +10328,chernard duval,chernard,duval,2013-10-21,Male,1990-12-03,25,25 - 45,African-American,0,4,0,0,1,,,,11001609CF10A,2011-01-26,,999,F,Lewd or Lascivious Molestation,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-21,Risk of Violence,5,Medium,2013-10-21,,,1,0,893,0,0,0 +10329,norval kelly,norval,kelly,2014-02-03,Male,1962-12-04,53,Greater than 45,Other,0,1,0,0,0,-1,2014-02-02 01:42:38,2014-02-03 01:14:46,14001820MM10A,2014-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-03,Risk of Violence,1,Low,2014-02-03,2014-02-02,2014-02-03,0,0,788,0,0,0 +10330,noel sequeira,noel,sequeira,2013-04-27,Male,1949-03-29,67,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-27 03:49:46,2013-06-08 05:44:21,13008123MM10A,2013-04-27,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-27,Risk of Violence,1,Low,2013-04-27,2013-04-27,2013-06-08,0,42,1070,0,0,0 +10332,ivan peralta,ivan,peralta,2013-05-14,Male,1977-09-22,38,25 - 45,Hispanic,0,1,0,0,0,-1,2013-05-13 02:11:53,2013-05-14 04:30:04,13009231MM10A,2013-05-13,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-14,Risk of Violence,1,Low,2013-05-14,2013-05-13,2013-05-14,0,0,1053,0,0,0 +10333,frantz beneche,frantz,beneche,2013-08-01,Male,1975-07-30,40,25 - 45,Other,0,1,0,0,1,-1,2013-07-31 08:16:51,2013-08-01 12:58:43,13008850CF10A,,2013-07-31,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-01,Risk of Violence,1,Low,2013-08-01,2015-01-27,2015-01-30,1,0,544,0,0,0 +10335,maxine peart,maxine,peart,2013-05-29,Female,1970-05-29,45,Greater than 45,Other,0,1,0,0,1,-1,2013-05-28 01:09:38,2013-05-30 01:19:38,12010462CF10A,,2013-05-28,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-29,Risk of Violence,1,Low,2013-05-29,2013-05-28,2013-05-30,1,1,1038,0,0,0 +10336,bruce brundage,bruce,brundage,2013-12-07,Male,1986-06-07,29,25 - 45,African-American,1,8,0,0,3,-1,2013-12-06 03:58:46,2014-02-04 09:32:08,13022654MM10A,2013-12-06,,1,M,Battery,1,14002162MM10A,(M1),,2014-02-07,Battery,,,,1,14002162MM10A,(M1),2014-02-07,Battery,Risk of Recidivism,8,High,2013-12-07,Risk of Violence,8,High,2013-12-07,2013-12-06,2014-02-04,3,59,62,1,1,1 +10337,jackson echeniquepadilla,jackson,echeniquepadilla,2013-02-11,Male,1983-12-07,32,25 - 45,Hispanic,0,2,0,0,0,0,2013-02-11 04:34:29,2013-02-11 07:32:37,13003045MM10A,2013-02-11,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-11,Risk of Violence,3,Low,2013-02-11,2013-02-11,2013-02-11,0,0,1145,0,0,0 +10339,dvonte stewart,dvonte,stewart,2014-04-07,Male,1992-11-03,23,Less than 25,African-American,0,10,0,0,1,231,2014-11-24 01:31:11,2015-04-22 11:50:05,10024797MM10A,2010-11-16,,1238,M,Prowling/Loitering,1,15007098MM10A,(M1),0,2015-07-02,Battery,2015-07-02,2015-08-21,,1,15007098MM10A,(M1),2015-07-02,Battery,Risk of Recidivism,10,High,2014-04-07,Risk of Violence,10,High,2014-04-07,2014-11-24,2015-04-22,1,0,231,0,1,1 +10343,syrefia kinchen,syrefia,kinchen,2013-01-07,Female,1976-10-10,39,25 - 45,Other,0,1,0,0,0,-1,2013-01-06 08:13:47,2013-01-07 09:42:45,13000238CF10A,2013-01-06,,1,F,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-07,Risk of Violence,1,Low,2013-01-07,2013-01-06,2013-01-07,0,0,1180,0,0,0 +10344,todd brown,todd,brown,2014-01-23,Male,1986-12-24,29,25 - 45,African-American,0,2,0,0,0,0,2014-01-23 04:25:31,2014-01-24 09:37:02,14000998CF10A,2014-01-23,,0,F,Felony Battery w/Prior Convict,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-23,2014-01-24,0,1,799,0,0,0 +10345,john mompremier,john,mompremier,2013-08-27,Male,1969-11-12,46,Greater than 45,African-American,0,1,0,0,4,-8,2013-08-19 03:15:35,2013-08-27 10:56:34,13011711CF10A,,2013-08-20,7,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-27,Risk of Violence,1,Low,2013-08-27,2013-08-19,2013-08-27,4,0,948,0,0,0 +10346,danny black,danny,black,2013-12-29,Male,1984-12-17,31,25 - 45,African-American,0,8,0,0,9,-1,2013-12-28 02:25:38,2014-01-24 03:19:10,13023915MM10A,2013-12-28,,1,M,Battery,1,14004242CF10A,(F3),0,2014-03-25,Possession of Cocaine,2014-03-25,2014-03-27,,1,15006614MM10A,(M1),2015-05-20,Battery,Risk of Recidivism,8,High,2013-12-29,Risk of Violence,8,High,2013-12-29,2014-03-25,2014-03-27,9,26,86,1,1,1 +10348,carlheinz caprice,carlheinz,caprice,2013-02-12,Male,1991-10-24,24,Less than 25,African-American,0,2,0,0,1,-13,2013-01-30 01:51:31,2013-01-30 07:18:13,13002190MM10A,2013-01-30,,13,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-02-12,Risk of Violence,4,Low,2013-02-12,2013-01-30,2013-01-30,1,0,1144,0,0,0 +10349,hamilton clarington,hamilton,clarington,2014-03-01,Male,1987-06-26,28,25 - 45,African-American,0,1,0,0,1,0,2014-03-01 02:22:04,2014-03-01 10:22:26,13017225CF10A,,2014-03-01,0,F,arrest case no charge,1,14011978CF10A,(F2),,2014-08-30,Burglary Dwelling Occupied,,,,1,14011856CF10A,(F1),2014-08-30,Robbery-Strong Arm W/mask,Risk of Recidivism,1,Low,2014-03-01,Risk of Violence,2,Low,2014-03-01,2015-12-29,2020-01-01,1,0,182,1,1,1 +10354,nikki williams,nikki,williams,2013-10-20,Female,1991-11-20,24,Less than 25,African-American,0,6,0,0,0,-1,2013-10-19 07:55:40,2013-10-20 08:37:38,13019805MM10A,2013-10-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-20,Risk of Violence,5,Medium,2013-10-20,2013-10-19,2013-10-20,0,0,894,0,0,0 +10355,renoir robinson,renoir,robinson,2013-05-18,Male,1986-09-18,29,25 - 45,Other,0,6,0,0,5,-1,2013-05-17 02:34:56,2014-01-30 06:26:52,13007048CF10A,2013-05-17,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-18,Risk of Violence,5,Medium,2013-05-18,2013-05-17,2014-01-30,5,257,1049,0,0,0 +10356,george bocanegra,george,bocanegra,2013-12-28,Male,1987-04-29,28,25 - 45,Hispanic,0,8,0,0,3,-1,2013-12-27 05:37:54,2014-06-10 10:33:46,13017868CF10A,,2013-12-27,1,F,arrest case no charge,1,15001566MM10A,(M2),0,2015-02-07,Petit Theft,2015-02-07,2015-06-08,,1,15010780CF10A,(F2),2015-08-21,Sexual Battery / Vict 12 Yrs +,Risk of Recidivism,8,High,2013-12-28,Risk of Violence,8,High,2013-12-28,2015-02-07,2015-06-08,3,164,406,1,1,1 +10357,jonathon mckenzie,jonathon,mckenzie,2014-03-20,Male,1979-10-24,36,25 - 45,Caucasian,0,2,0,0,1,-2,2014-03-18 06:08:02,2014-03-19 01:20:16,14003786CF10A,2014-03-18,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-20,Risk of Violence,1,Low,2014-03-20,2014-03-18,2014-03-19,1,0,743,0,0,0 +10359,christopher lewis,christopher,lewis,2013-04-27,Male,1991-01-24,25,25 - 45,African-American,0,6,0,0,2,0,2013-04-27 10:39:31,2013-04-30 07:29:55,13008137MM10A,2013-04-27,,0,M,Tresspass in Structure or Conveyance,1,15013125MM10A,(M2),,2015-12-21,Battery,,,,1,15013125MM10A,(M2),2015-12-21,Battery,Risk of Recidivism,6,Medium,2013-04-27,Risk of Violence,5,Medium,2013-04-27,2013-06-18,2013-08-05,2,3,52,0,0,0 +10360,ali juma,ali,juma,2013-12-28,Male,1986-05-26,29,25 - 45,Caucasian,0,1,0,0,0,0,2013-12-28 05:20:25,2014-01-11 05:07:00,13017906CF10A,2013-12-27,,1,F,Felony Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-28,Risk of Violence,2,Low,2013-12-28,2013-12-28,2014-01-11,0,14,825,0,0,0 +10361,sarah seiler,sarah,seiler,2013-05-06,Female,1990-03-29,26,25 - 45,Caucasian,0,9,0,0,1,-1,2013-05-05 07:23:19,2013-05-08 08:21:21,13006424CF10A,2013-05-05,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-06,Risk of Violence,7,Medium,2013-05-06,2013-12-03,2013-12-04,1,2,211,0,0,0 +10367,kenneth littlejohn,kenneth,littlejohn,2013-04-04,Male,1983-07-31,32,25 - 45,African-American,0,6,0,0,4,-1,2013-04-03 01:08:33,2013-04-04 01:15:44,13004769CF10A,2013-04-03,,1,F,Driving While License Revoked,1,15017969TC20A,(M2),,2015-03-11,Operating W/O Valid License,,,,1,15010987MM10A,(M1),2015-09-12,Battery,Risk of Recidivism,6,Medium,2013-04-04,Risk of Violence,3,Low,2013-04-04,2013-04-03,2013-04-04,4,0,706,1,1,1 +10369,giovanna flores,giovanna,flores,2013-11-23,Male,1986-07-15,29,25 - 45,Hispanic,0,1,0,0,1,0,2013-11-23 02:20:27,2013-11-25 02:34:28,13016305CF10A,2013-11-22,,1,F,Agg Battery Grt/Bod/Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-23,Risk of Violence,2,Low,2013-11-23,2013-11-23,2013-11-25,1,2,860,0,0,0 +10370,taryn quinterri,taryn,quinterri,2013-12-05,Female,1989-12-02,26,25 - 45,Caucasian,0,3,0,0,0,-1,2013-12-04 12:52:58,2013-12-05 09:54:23,13016769CF10A,2013-12-04,,1,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-05,Risk of Violence,3,Low,2013-12-05,2013-12-04,2013-12-05,0,0,848,0,0,0 +10371,edwin martinez,edwin,martinez,2013-06-10,Male,1970-10-21,45,Greater than 45,Hispanic,0,1,0,0,3,-83,2013-03-19 12:47:07,2013-03-20 02:58:11,13004055CF10A,2013-03-20,,82,F,Crim Use of Personal ID Info,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-10,Risk of Violence,1,Low,2013-06-10,2013-03-19,2013-03-20,3,0,1026,0,0,0 +10376,ivette lopez,ivette,lopez,2014-03-10,Female,1969-05-10,46,Greater than 45,Caucasian,0,1,0,0,0,0,2014-03-10 04:52:56,2014-03-10 08:40:21,14009443MU10A,2014-03-10,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-10,Risk of Violence,1,Low,2014-03-10,2014-03-10,2014-03-10,0,0,753,0,0,0 +10377,michael vento,michael,vento,2013-04-29,Male,1975-03-01,41,25 - 45,Caucasian,0,1,0,0,0,-1,2013-04-28 06:37:34,2013-04-29 06:56:58,13006108CF10A,2013-04-28,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-29,Risk of Violence,1,Low,2013-04-29,2013-04-28,2013-04-29,0,0,1068,0,0,0 +10380,rosemary marchal,rosemary,marchal,2013-05-06,Female,1977-06-24,38,25 - 45,Other,0,1,0,0,0,-1,2013-05-05 03:26:04,2013-05-06 12:07:20,13008715MM10A,2013-05-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-06,Risk of Violence,1,Low,2013-05-06,2013-05-05,2013-05-06,0,0,1061,0,0,0 +10381,alicia jackson,alicia,jackson,2013-10-09,Female,1991-09-02,24,Less than 25,African-American,0,6,0,0,1,26,2013-11-04 03:09:22,2013-11-05 01:19:17,13000990CF10A,2013-01-21,,261,F,Sale/Del Cannabis At/Near Scho,1,13015368CF10A,(M1),1,2013-11-03,Battery,2013-11-04,2013-11-05,,1,13015368CF10A,(M1),2013-11-03,Aggrav Battery w/Deadly Weapon,Risk of Recidivism,6,Medium,2013-10-09,Risk of Violence,5,Medium,2013-10-09,2015-04-07,2015-08-01,1,0,25,1,1,1 +10386,robert sandholzer,robert,sandholzer,2013-09-05,Male,1993-07-01,22,Less than 25,Caucasian,0,7,0,0,1,-1,2013-09-04 01:42:39,2013-09-28 04:10:51,13016932MM10A,2013-09-04,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-05,Risk of Violence,6,Medium,2013-09-05,2013-09-04,2013-09-28,1,23,939,0,0,0 +10389,jayson norman,jayson,norman,2013-05-22,Male,1989-09-23,26,25 - 45,Caucasian,0,6,0,0,7,-1,2013-05-21 05:19:13,2013-07-29 04:36:22,13009783MM10A,2013-05-21,,1,M,Susp Drivers Lic 1st Offense,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-05-22,Risk of Violence,5,Medium,2013-05-22,2013-09-10,2013-11-27,7,68,111,0,0,0 +10394,christopher jordan,christopher,jordan,2014-03-31,Male,1985-05-09,30,25 - 45,African-American,0,1,0,0,0,-1,2014-03-30 06:21:42,2014-03-31 01:49:16,14005465MM10A,2014-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-31,Risk of Violence,1,Low,2014-03-31,2014-03-30,2014-03-31,0,0,732,0,0,0 +10399,mauro funez,mauro,funez,2013-08-28,Male,1981-10-21,34,25 - 45,Caucasian,0,5,0,0,1,-1,2013-08-27 12:17:50,2013-08-28 08:02:22,13012096CF10A,2013-08-27,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-28,Risk of Violence,4,Low,2013-08-28,2013-08-27,2013-08-28,1,0,947,0,0,0 +10400,christopher leal,christopher,leal,2014-01-02,Male,1992-11-15,23,Less than 25,Caucasian,0,7,0,7,3,-1,2014-01-01 07:02:36,2014-01-02 09:18:31,14000032MM10A,2014-01-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2014-01-02,Risk of Violence,9,High,2014-01-02,2014-01-01,2014-01-02,3,0,820,0,0,0 +10401,olga baum,olga,baum,2013-04-03,Female,1968-06-25,47,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-04-02 11:45:32,2013-04-03 07:34:16,13006358MM10A,2013-04-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-03,Risk of Violence,1,Low,2013-04-03,2013-04-02,2013-04-03,0,0,1094,0,0,0 +10402,philip jamison,philip,jamison,2013-05-18,Male,1961-01-19,55,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-05-17 01:50:39,2013-05-30 08:03:27,13007418MM10A,,2013-05-17,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-18,Risk of Violence,1,Low,2013-05-18,2013-05-17,2013-05-30,2,12,1049,0,0,0 +10403,michelle gregorovic,michelle,gregorovic,2014-10-14,Female,1985-05-16,30,25 - 45,Caucasian,0,5,0,0,5,-168,2014-04-29 09:52:20,2014-10-06 11:01:07,14005955CF10A,2014-04-29,,168,F,Sel Etc/Pos/w/Int Contrft Schd,1,15011706MM10A,(M1),1,2015-11-08,Battery,2015-11-09,2015-11-18,,1,15011706MM10A,(M1),2015-11-08,Battery,Risk of Recidivism,5,Medium,2014-10-14,Risk of Violence,2,Low,2014-10-14,2015-11-09,2015-11-18,5,0,390,1,1,1 +10404,jeremy gebar,jeremy,gebar,2013-09-15,Male,1985-11-02,30,25 - 45,Hispanic,0,3,0,0,0,-1,2013-09-14 02:02:37,2013-09-15 10:50:57,13017515MM10A,2013-09-14,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-15,Risk of Violence,2,Low,2013-09-15,2013-09-14,2013-09-15,0,0,929,0,0,0 +10406,fredrick lambert,fredrick,lambert,2013-01-12,Male,1973-04-17,43,25 - 45,African-American,0,7,0,0,2,0,2013-01-12 12:58:49,2013-01-12 07:44:29,13000560CF10A,2013-01-11,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-12,Risk of Violence,6,Medium,2013-01-12,2013-01-12,2013-01-12,2,0,1175,0,0,0 +10407,devin beasley,devin,beasley,2014-07-06,Male,1970-12-11,45,Greater than 45,African-American,0,8,0,0,38,-1,2014-07-05 06:23:46,2014-11-03 09:34:22,14010593CF10A,2014-07-05,,1,F,Felony Battery w/Prior Convict,1,15010630MM10A,(M1),1,2015-10-11,Resist/Obstruct W/O Violence,2015-10-12,2015-11-18,,1,16001690CF10A,(F3),2016-02-08,Aggravated Assault W/Dead Weap,Risk of Recidivism,8,High,2014-07-06,Risk of Violence,8,High,2014-07-06,2014-07-05,2014-11-03,38,120,462,1,1,1 +10408,julio matamoros,julio,matamoros,2014-01-03,Male,1985-06-23,30,25 - 45,Hispanic,0,1,0,0,0,-1,2014-01-02 01:34:35,2014-01-03 01:49:26,14000087MM10A,2014-01-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-03,Risk of Violence,1,Low,2014-01-03,2014-01-02,2014-01-03,0,0,819,0,0,0 +10410,christi sluder,christi,sluder,2013-11-21,Female,1955-03-16,61,Greater than 45,Caucasian,0,6,0,0,15,-10,2013-11-11 09:56:16,2013-11-12 02:06:02,13015691CF10A,2013-11-11,,10,F,Felony Petit Theft,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-21,Risk of Violence,2,Low,2013-11-21,2013-11-11,2013-11-12,15,0,862,0,0,0 +10411,james turnquest,james,turnquest,2013-09-16,Male,1952-09-25,63,Greater than 45,African-American,0,9,0,0,16,,,,11006650MM10A,2011-03-21,,910,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-09-16,Risk of Violence,5,Medium,2013-09-16,2007-10-18,2009-04-11,16,0,928,0,0,0 +10412,nikolay petrov,nikolay,petrov,2013-02-25,Male,1966-06-11,49,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-24 06:39:36,2013-02-25 01:34:30,13002839CF10A,2013-02-24,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-25,Risk of Violence,1,Low,2013-02-25,2013-02-24,2013-02-25,0,0,1131,0,0,0 +10413,gervaise hylton,gervaise,hylton,2014-03-30,Male,1966-04-26,49,Greater than 45,African-American,0,1,0,0,1,0,2014-03-30 12:16:19,2014-03-30 09:48:37,14005430MM10A,2014-03-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-30,Risk of Violence,1,Low,2014-03-30,2014-05-14,2014-05-15,1,0,45,0,0,0 +10415,jason bartley,jason,bartley,2013-03-01,Male,1973-07-02,42,25 - 45,African-American,0,1,0,0,1,0,2013-03-01 02:08:27,2013-03-01 09:58:28,13003068CF10A,2013-03-01,,0,F,Possession Of Amphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-01,Risk of Violence,1,Low,2013-03-01,2013-03-01,2013-03-01,1,0,1127,0,0,0 +10416,marshall phillips,marshall,phillips,2013-02-19,Male,1991-09-24,24,Less than 25,African-American,0,7,0,0,1,-1,2013-02-18 01:55:35,2013-03-15 01:12:27,13003465MM10A,2013-02-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-19,Risk of Violence,5,Medium,2013-02-19,2014-11-08,2014-12-18,1,24,627,0,0,0 +10417,mario delrio,mario,delrio,2013-08-20,Male,1964-12-06,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-19 07:04:31,2013-08-20 07:15:48,13011607CF10A,2013-08-19,,1,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-20,Risk of Violence,1,Low,2013-08-20,2013-08-19,2013-08-20,0,0,955,0,0,0 +10419,joe martinez,joe,martinez,2014-07-28,Male,1984-02-13,32,25 - 45,Hispanic,0,5,0,0,6,-1,2014-07-27 06:39:32,2014-08-05 07:52:03,14011428MM10A,2014-07-27,,1,M,Battery,1,14017069MM10A,(M2),,2014-11-08,Drinking Alch Beverage In Open,,,,1,15001713CF10A,(F3),2015-02-05,Robbery Sudd Snatch No Weapon,Risk of Recidivism,5,Medium,2014-07-28,Risk of Violence,2,Low,2014-07-28,2014-07-27,2014-08-05,6,8,103,1,1,1 +10420,michael koons,michael,koons,2014-07-30,Male,1987-08-03,28,25 - 45,Caucasian,0,4,0,0,4,-151,2014-03-01 03:43:30,2014-04-30 10:35:00,14002903CF10A,,2014-03-01,151,F,arrest case no charge,1,15002512MM10A,(M1),0,2015-03-02,Battery,2015-03-02,2015-03-27,,1,15002512MM10A,(M1),2015-03-02,Battery,Risk of Recidivism,4,Low,2014-07-30,Risk of Violence,3,Low,2014-07-30,2015-03-02,2015-03-27,4,0,215,1,1,1 +10424,anthony wells,anthony,wells,2014-01-13,Male,1966-09-13,49,Greater than 45,African-American,0,1,0,0,2,-1,2014-01-12 07:53:09,2014-01-14 03:31:14,14000531CF10A,2014-01-12,,1,F,Neglect Child / No Bodily Harm,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-13,Risk of Violence,1,Low,2014-01-13,2014-01-12,2014-01-14,2,1,809,0,0,0 +10426,jose llaguna,jose,llaguna,2013-10-29,Male,1969-04-12,47,Greater than 45,Caucasian,0,1,0,0,1,-43,2013-09-16 06:36:09,2013-10-29 10:16:35,13013138CF10A,,2013-09-17,42,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-29,Risk of Violence,1,Low,2013-10-29,2013-09-16,2013-10-29,1,0,885,0,0,0 +10427,john tokay,john,tokay,2013-03-16,Male,1959-08-29,56,Greater than 45,Caucasian,0,2,0,0,1,0,2013-03-16 03:33:00,2013-04-20 05:57:09,13003840CF10A,2013-03-16,,0,F,Possession of Hydrocodone,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-16,Risk of Violence,3,Low,2013-03-16,2013-03-16,2013-04-20,1,35,1112,0,0,0 +10428,marvin bennett,marvin,bennett,2013-01-04,Male,1962-07-10,53,Greater than 45,Caucasian,0,4,0,0,8,-1,2013-01-03 03:26:52,2013-01-08 12:29:25,13000180MM10A,2013-01-03,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-04,Risk of Violence,3,Low,2013-01-04,2013-01-16,2013-03-13,8,4,12,0,0,0 +10429,irvans brutus,irvans,brutus,2013-09-23,Male,1988-09-25,27,25 - 45,Other,0,2,0,0,2,-1,2013-09-22 07:46:53,2013-09-24 04:26:01,13018075MM10A,2013-09-22,,1,M,Criminal Mischief Damage <$200,1,13022475MM10A,(M1),0,2013-12-03,Viol Pretrial Release Dom Viol,2013-12-03,2013-12-05,,1,13017886CF10A,(F2),2013-12-28,Shoot In Occupied Building,Risk of Recidivism,2,Low,2013-09-23,Risk of Violence,3,Low,2013-09-23,2013-12-03,2013-12-05,2,1,71,1,1,1 +10431,adam rodgers,adam,rodgers,2013-04-14,Male,1975-02-14,41,25 - 45,Caucasian,0,1,0,0,3,-1,2013-04-13 07:21:37,2013-04-14 02:55:27,13007172MM10A,2013-04-13,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-14,Risk of Violence,1,Low,2013-04-14,2013-04-13,2013-04-14,3,0,1083,0,0,0 +10432,sean martin,sean,martin,2014-01-14,Male,1970-10-24,45,Greater than 45,African-American,0,4,0,0,6,0,2014-01-14 02:25:13,2014-01-15 11:05:21,14000613CF10A,2014-01-13,,1,F,Possession Of Alprazolam,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-14,2014-01-15,6,1,808,0,0,0 +10434,john lasko,john,lasko,2013-05-11,Male,1968-05-16,47,Greater than 45,Caucasian,0,2,0,0,2,,,,12000560MM20A,2012-01-03,,494,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-11,Risk of Violence,1,Low,2013-05-11,,,2,0,1056,0,0,0 +10436,briani jackson,briani,jackson,2013-01-31,Female,1994-09-02,21,Less than 25,African-American,0,10,0,0,0,0,2013-01-31 01:46:36,2013-04-19 01:09:04,13001570CF10A,2013-01-30,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-01-31,Risk of Violence,9,High,2013-01-31,2013-01-31,2013-04-19,0,78,1156,0,0,0 +10437,daniel price,daniel,price,2013-12-07,Male,1988-07-20,27,25 - 45,Caucasian,0,4,0,1,2,0,2013-12-07 03:16:27,2013-12-08 08:18:55,13022663MM10A,2013-12-07,,0,M,Battery,1,14015348CF10A,(F2),0,2014-11-14,,2014-11-14,2014-11-16,,1,14007519MO10A,(MO3),2014-04-22,DOC/Engage In Fighting,Risk of Recidivism,4,Low,2013-12-07,Risk of Violence,3,Low,2013-12-07,2013-12-31,2014-01-01,2,1,24,0,1,1 +10439,daniel martins,daniel,martins,2014-02-02,Male,1994-05-03,21,Less than 25,African-American,0,3,0,0,0,-2,2014-01-31 11:42:11,2014-02-14 01:25:03,14001456CF10A,2014-01-31,,2,F,Burglary Conveyance Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-02,Risk of Violence,5,Medium,2014-02-02,2014-01-31,2014-02-14,0,12,789,0,0,0 +10440,william jarjour,william,jarjour,2013-03-28,Male,1984-08-11,31,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-27 11:38:46,2013-06-17 05:47:59,13004419CF10A,2013-03-27,,1,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-28,Risk of Violence,1,Low,2013-03-28,2013-03-27,2013-06-17,0,81,1100,0,0,0 +10443,ana mejarodriguez,ana,mejarodriguez,2013-02-13,Female,1970-06-09,45,Greater than 45,Hispanic,0,1,0,0,0,0,2013-02-13 03:47:44,2013-02-14 06:32:55,13003160MM10A,2013-02-12,,1,M,Criminal Mischief Damage <$200,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-13,Risk of Violence,1,Low,2013-02-13,2013-02-13,2013-02-14,0,1,1143,0,0,0 +10444,isaac wright,isaac,wright,2013-03-27,Male,1985-07-13,30,25 - 45,African-American,2,6,0,0,8,-1,2013-03-26 11:22:35,2013-03-27 07:44:38,13002630CF10A,,2013-03-26,1,F,arrest case no charge,1,15010198MM10A,(M1),,2015-08-25,Battery,,,,1,15010198MM10A,(M1),2015-08-25,Battery,Risk of Recidivism,6,Medium,2013-03-27,Risk of Violence,4,Low,2013-03-27,2013-03-26,2013-03-27,8,0,881,1,0,0 +10446,jerry morival,jerry,morival,2013-04-27,Male,1993-02-08,23,Less than 25,African-American,0,4,0,0,0,-1,2013-04-26 09:39:57,2013-04-27 01:16:31,13006036CF10A,2013-04-26,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-27,Risk of Violence,5,Medium,2013-04-27,2013-09-04,2013-11-20,0,0,130,0,0,0 +10447,luis melendez,luis,melendez,2013-01-30,Male,1963-04-20,52,Greater than 45,Caucasian,0,1,0,0,1,-1,2013-01-29 07:52:06,2013-01-30 01:36:21,13001438CF10A,2013-01-29,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-30,Risk of Violence,1,Low,2013-01-30,2013-04-22,2013-04-28,1,0,82,0,0,0 +10449,thajuana allen,thajuana,allen,2013-12-05,Female,1964-05-25,51,Greater than 45,African-American,0,2,0,0,3,-1,2013-12-04 09:45:14,2013-12-05 08:30:14,13016839CF10A,2013-12-04,,1,M,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-05,Risk of Violence,2,Low,2013-12-05,2013-12-04,2013-12-05,3,0,848,0,0,0 +10452,kerri reid-cooks,kerri,reid-cooks,2013-09-11,Female,1971-07-06,44,25 - 45,African-American,0,1,0,0,0,0,2013-09-11 04:56:33,2013-09-11 08:34:19,13012863CF10A,2013-09-11,,0,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-11,Risk of Violence,1,Low,2013-09-11,2013-09-11,2013-09-11,0,0,933,0,0,0 +10455,cinthya sanchez,cinthya,sanchez,2013-04-08,Female,1990-08-07,25,25 - 45,Hispanic,0,4,0,0,0,0,2013-04-08 03:27:11,2013-04-08 08:53:40,13005064CF10A,2013-04-07,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-08,Risk of Violence,3,Low,2013-04-08,2013-04-08,2013-04-08,0,0,1089,0,0,0 +10461,craig evans,craig,evans,2013-11-02,Male,1978-05-30,37,25 - 45,Other,0,1,0,0,0,-1,2013-11-01 10:55:24,2013-11-02 01:52:41,13020650MM10A,2013-11-01,,1,M,Viol Injunct Domestic Violence,1,16001232MM10A,(M1),0,2016-02-07,Battery,2016-02-07,2016-02-09,,1,16001232MM10A,(M1),2016-02-07,Battery,Risk of Recidivism,1,Low,2013-11-02,Risk of Violence,1,Low,2013-11-02,2016-02-07,2016-02-09,0,0,827,1,0,0 +10462,kathy holmes,kathy,holmes,2013-09-10,Female,1981-11-03,34,25 - 45,Caucasian,0,3,0,0,0,-2,2013-09-08 01:02:26,2013-09-09 04:59:23,13012648CF10A,2013-09-07,,3,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-10,Risk of Violence,1,Low,2013-09-10,2013-09-08,2013-09-09,0,0,934,0,0,0 +10463,ryan debe,ryan,debe,2013-03-07,Male,1993-01-28,23,Less than 25,African-American,0,7,2,1,3,-1,2013-03-06 08:25:02,2013-03-15 10:13:53,13004527MM10A,2013-03-06,,1,M,Fail Register Vehicle,1,14008042CF10A,(M2),0,2014-06-10,Unlawful Use Of License,2014-06-10,2014-07-03,,1,14008042CF10A,(F2),2014-06-10,Agg Fleeing/Eluding High Speed,Risk of Recidivism,7,Medium,2013-03-07,Risk of Violence,9,High,2013-03-07,2013-07-13,2013-08-20,3,8,128,0,1,1 +10464,sylvia sarner,sylvia,sarner,2013-11-08,Male,1945-01-23,71,Greater than 45,Caucasian,0,1,0,0,3,-1,2013-11-07 05:56:13,2013-11-07 09:04:13,13021042MM10A,2013-11-07,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-08,Risk of Violence,1,Low,2013-11-08,2015-03-25,2015-04-01,3,0,502,0,0,0 +10467,paul slade,paul,slade,2013-12-10,Male,1970-12-27,45,Greater than 45,Caucasian,0,1,0,0,2,0,2013-12-10 01:55:28,2013-12-10 07:43:53,13022837MM10A,2013-12-10,,0,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-10,Risk of Violence,1,Low,2013-12-10,2013-12-10,2013-12-10,2,0,843,0,0,0 +10469,rabbir hossain,rabbir,hossain,2013-11-28,Male,1987-01-06,29,25 - 45,African-American,0,1,0,0,0,0,2013-11-28 06:52:48,2013-11-29 10:35:24,13022285MM10A,2013-11-28,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-28,Risk of Violence,2,Low,2013-11-28,2013-11-28,2013-11-29,0,1,855,0,0,0 +10476,charles land,charles,land,2013-08-01,Male,1990-04-12,26,25 - 45,Caucasian,0,5,0,0,1,-31,2013-07-01 03:24:16,2013-07-08 11:46:57,13001829CF10A,,2013-07-01,31,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-01,Risk of Violence,5,Medium,2013-08-01,2013-07-01,2013-07-08,1,0,974,0,0,0 +10479,ivan cardona,ivan,cardona,2013-09-19,Male,1979-07-08,36,25 - 45,Hispanic,0,2,0,0,5,-2,2013-09-17 08:35:34,2013-09-18 08:12:40,13013111CF10A,2013-09-17,,2,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-19,Risk of Violence,1,Low,2013-09-19,2014-11-14,2014-11-17,5,0,421,0,0,0 +10482,noel lopez,noel,lopez,2013-03-10,Male,1973-11-10,42,25 - 45,Hispanic,0,1,0,0,1,0,2013-03-10 12:20:11,2013-05-01 07:11:16,13006914CF10A,2013-03-09,,1,F,Aggrav Battery w/Deadly Weapon,1,13006885CF10A,(F3),,2013-05-14,Aggravated Assault W/dead Weap,,,,1,13006885CF10A,(F3),2013-05-14,Aggravated Assault W/dead Weap,Risk of Recidivism,1,Low,2013-03-10,Risk of Violence,1,Low,2013-03-10,2013-03-10,2013-05-01,1,52,65,1,1,1 +10483,nackson jean,nackson,jean,2013-03-31,Male,1994-12-29,21,Less than 25,African-American,0,5,0,0,0,-1,2013-03-30 09:16:53,2013-04-02 09:21:59,13006133MM10A,2013-03-30,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-03-31,Risk of Violence,8,High,2013-03-31,2013-03-30,2013-04-02,0,2,1097,0,0,0 +10484,brian guillen,brian,guillen,2013-09-26,Male,1986-08-31,29,25 - 45,Caucasian,0,1,0,0,2,-1,2013-09-25 12:22:48,2013-09-26 12:43:17,13013514CF10A,2013-09-25,,1,M,Fleeing or Eluding a LEO,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-26,Risk of Violence,2,Low,2013-09-26,2013-09-25,2013-09-26,2,0,918,0,0,0 +10486,daniel wick,daniel,wick,2013-12-19,Male,1962-03-24,54,Greater than 45,Caucasian,0,1,0,0,0,-4,2013-12-15 05:06:44,2013-12-16 08:59:37,13023212MM10A,2013-12-15,,4,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-19,Risk of Violence,1,Low,2013-12-19,2013-12-15,2013-12-16,0,0,834,0,0,0 +10489,gail thibeault,gail,thibeault,2013-08-12,Female,1993-05-19,22,Less than 25,Caucasian,0,8,0,0,1,,,,12025506MM10A,2012-12-14,,241,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-12,Risk of Violence,9,High,2013-08-12,,,1,0,963,0,0,0 +10491,anthony ali,anthony,ali,2013-12-08,Male,1986-04-28,29,25 - 45,Caucasian,0,3,0,0,1,-1,2013-12-07 07:49:30,2013-12-08 01:53:16,13022674MM10A,2013-12-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-08,Risk of Violence,2,Low,2013-12-08,2013-12-07,2013-12-08,1,0,845,0,0,0 +10492,dionisqui paredes,dionisqui,paredes,2014-02-06,Female,1990-05-16,25,25 - 45,Hispanic,0,6,1,2,14,-1,2014-02-05 12:50:06,2014-02-06 09:34:44,14001660CF10A,2014-02-05,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-06,Risk of Violence,4,Low,2014-02-06,2014-02-05,2014-02-06,14,0,785,0,0,0 +10493,yves souffrant,yves,souffrant,2013-08-19,Male,1953-10-16,62,Greater than 45,Other,0,1,0,0,0,-1,2013-08-18 04:20:46,2013-08-19 07:30:44,13015662MM10A,2013-08-18,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-19,Risk of Violence,1,Low,2013-08-19,2013-08-18,2013-08-19,0,0,956,0,0,0 +10498,maura mitchell,maura,mitchell,2013-10-07,Female,1951-01-02,65,Greater than 45,Caucasian,0,1,0,0,1,-11,2013-09-26 11:26:33,2013-09-28 02:10:00,13013603CF10A,2013-09-26,,11,F,Aggravated Assault W/Dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-09-26,2013-09-28,1,0,907,0,0,0 +10502,john taddeo,john,taddeo,2013-10-24,Male,1984-12-18,31,25 - 45,Caucasian,0,1,0,0,0,0,2013-10-24 05:17:15,2013-10-25 01:21:44,13014882CF10A,2013-10-24,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-10-24,Risk of Violence,1,Low,2013-10-24,2013-10-24,2013-10-25,0,1,890,0,0,0 +10505,adrian grimes,adrian,grimes,2013-05-14,Male,1994-12-03,21,Less than 25,African-American,0,9,0,0,0,-1,2013-05-13 01:34:59,2013-05-18 02:09:44,13006839CF10A,2013-05-13,,1,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-05-14,Risk of Violence,10,High,2013-05-14,2013-06-07,2013-06-27,0,4,24,0,0,0 +10506,fernando mayer,fernando,mayer,2013-03-20,Male,1988-06-29,27,25 - 45,African-American,0,7,2,0,17,0,2013-03-20 06:06:03,2013-03-21 09:33:58,13004042CF10A,2013-03-20,,0,F,Driving While License Revoked,1,13016473CF10A,(F3),,2013-11-18,Retaliate Wit/Vict No Injury,,,,1,13016473CF10A,(F2),2013-11-26,Vehicular Homicide,Risk of Recidivism,7,Medium,2013-03-20,Risk of Violence,4,Low,2013-03-20,2013-03-20,2013-03-21,17,1,243,1,1,1 +10507,nelson guerrero,nelson,guerrero,2013-05-05,Male,1982-12-08,33,25 - 45,Caucasian,0,2,0,0,1,-1,2013-05-04 05:57:06,2013-05-24 09:08:46,13006406CF10A,2013-05-04,,1,F,Aggravated Assault W/dead Weap,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-05-05,Risk of Violence,5,Medium,2013-05-05,2013-05-04,2013-05-24,1,19,1062,0,0,0 +10509,jameal adderley,jameal,adderley,2013-03-12,Male,1990-08-05,25,25 - 45,African-American,0,7,1,0,3,-1,2013-03-11 05:03:58,2013-03-12 10:19:28,13003598CF10A,2013-03-11,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-12,Risk of Violence,6,Medium,2013-03-12,2013-03-11,2013-03-12,3,0,1116,0,0,0 +10510,nelson bauza,nelson,bauza,2013-05-01,Male,1976-10-11,39,25 - 45,Caucasian,0,1,0,0,1,-1,2013-04-30 08:53:59,2013-05-01 06:45:37,13006185CF10A,2013-04-30,,1,F,Possession Of Anabolic Steroid,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-05-01,Risk of Violence,1,Low,2013-05-01,2013-04-30,2013-05-01,1,0,1066,0,0,0 +10511,theodis presmy,theodis,presmy,2013-05-16,Male,1986-06-14,29,25 - 45,African-American,0,9,0,0,8,0,2013-05-16 02:40:09,2013-05-17 08:22:55,13009478MM10A,2013-05-15,,1,M,Possess Cannabis/20 Grams Or Less,1,13013561CF10A,(F3),0,2013-09-26,Possession of Cocaine,2013-09-26,2013-09-27,,1,16001464MM10A,(M1),2016-02-15,Battery,Risk of Recidivism,9,High,2013-05-16,Risk of Violence,6,Medium,2013-05-16,2013-09-26,2013-09-27,8,1,133,1,1,1 +10513,jennifer crowe,jennifer,crowe,2013-07-02,Female,1974-03-03,42,25 - 45,Caucasian,0,1,0,0,0,-3,2013-06-29 10:35:16,2013-07-01 02:17:11,13009181CF10A,2013-06-29,,3,F,Child Abuse,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-07-02,Risk of Violence,1,Low,2013-07-02,2013-06-29,2013-07-01,0,0,1004,0,0,0 +10514,justin reynoso,justin,reynoso,2014-03-18,Male,1995-03-14,21,Less than 25,Caucasian,0,9,0,0,0,-1,2014-03-17 12:36:30,2014-03-18 01:26:47,14003755CF10A,2014-03-17,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-03-18,Risk of Violence,8,High,2014-03-18,2014-03-17,2014-03-18,0,0,745,0,0,0 +10519,gartrell tolbert,gartrell,tolbert,2014-08-25,Male,1979-06-28,36,25 - 45,African-American,0,9,0,0,2,-1,2014-08-24 05:47:08,2014-10-09 09:10:14,14012720MM10A,2014-08-24,,1,M,Battery,1,14017397MM10A,(M1),0,2014-12-10,Battery,2014-12-10,2015-04-27,,1,14017397MM10A,(M1),2014-12-10,Battery,Risk of Recidivism,9,High,2014-08-25,Risk of Violence,8,High,2014-08-25,2014-12-10,2015-04-27,2,45,107,1,1,1 +10520,jennifer hyacinth,jennifer,hyacinth,2014-03-18,Female,1991-08-20,24,Less than 25,African-American,0,4,0,0,0,-1,2014-03-17 08:29:05,2014-03-18 07:50:54,14003764CF10A,2014-03-17,,1,F,Uttering a Forged Instrument,1,15002169MM10A,(M1),0,2015-02-22,Temporary Tag Violation,2015-02-22,2015-02-22,,1,15004034CF10A,(F3),2015-03-26,Aggravated Assault W/Dead Weap,Risk of Recidivism,4,Low,2014-03-18,Risk of Violence,3,Low,2014-03-18,2015-02-22,2015-02-22,0,0,341,0,1,1 +10522,judith guadagino,judith,guadagino,2014-01-27,Female,1949-02-12,67,Greater than 45,Caucasian,0,1,0,0,0,-3,2014-01-24 10:44:46,2014-01-25 04:52:46,14002829MU10A,2014-01-24,,3,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-27,Risk of Violence,1,Low,2014-01-27,2014-01-24,2014-01-25,0,0,795,0,0,0 +10523,cleon grant,cleon,grant,2013-05-04,Male,1987-03-25,29,25 - 45,Other,0,2,0,0,4,-1,2013-05-03 05:09:54,2013-05-06 08:52:35,13006359CF10A,2013-05-03,,1,F,Throw Deadly Missile Into Veh,1,15001272CF10A,(M2),0,2015-01-27,Culpable Negligence,2015-01-27,2015-01-30,,1,15001272CF10A,(F2),2015-01-27,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2013-05-04,Risk of Violence,3,Low,2013-05-04,2015-01-27,2015-01-30,4,2,633,1,1,1 +10524,andrea jordan,andrea,jordan,2013-07-11,Female,1988-09-15,27,25 - 45,African-American,0,6,0,0,2,-40,2013-06-01 07:45:23,2013-06-10 10:44:15,13008532CF10A,2013-06-01,,40,F,Aggravated Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-07-11,Risk of Violence,4,Low,2013-07-11,2013-06-01,2013-06-10,2,0,995,0,0,0 +10525,jamar burton,jamar,burton,2013-05-17,Male,1976-12-15,39,25 - 45,African-American,0,4,0,0,3,-1,2013-05-16 07:50:50,2013-06-19 12:42:02,10001925CF10B,,2013-05-17,0,F,arrest case no charge,1,14013846MM10A,(M1),0,2014-09-17,Battery,2014-09-17,2014-10-29,,1,14013846MM10A,(M1),2014-09-17,Battery,Risk of Recidivism,4,Low,2013-05-17,Risk of Violence,3,Low,2013-05-17,2014-09-17,2014-10-29,3,33,488,1,1,1 +10526,michael holloway,michael,holloway,2013-03-15,Male,1974-01-08,42,25 - 45,Caucasian,0,6,0,0,5,84,2013-06-07 06:19:20,2013-06-08 05:43:44,12006199CF10A,,2013-03-14,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-15,Risk of Violence,2,Low,2013-03-15,2013-06-07,2013-06-08,5,0,84,0,0,0 +10528,flavio silva,flavio,silva,2013-06-04,Male,1974-08-02,41,25 - 45,Hispanic,0,1,0,0,1,-4,2013-05-31 11:16:29,2013-06-01 08:01:12,13010461MM10A,2013-05-31,,4,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-04,Risk of Violence,1,Low,2013-06-04,2013-05-31,2013-06-01,1,0,1032,0,0,0 +10530,cobie tai,cobie,tai,2013-08-03,Female,1990-05-12,25,25 - 45,African-American,0,3,0,0,1,-1,2013-08-02 02:03:01,2013-08-06 05:30:27,13010803CF10A,,2013-08-02,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-03,Risk of Violence,4,Low,2013-08-03,2013-08-02,2013-08-06,1,3,972,0,0,0 +10532,johnny ross,johnny,ross,2014-02-19,Male,1979-01-24,37,25 - 45,African-American,0,4,0,0,4,-1,2014-02-18 02:47:15,2014-02-19 07:33:00,14002813MM10A,2014-02-18,,1,M,Battery,1,14012850MM10A,(M1),0,2014-08-27,Battery,2014-08-27,2014-10-16,,1,14012850MM10A,(M1),2014-08-27,Battery,Risk of Recidivism,4,Low,2014-02-19,Risk of Violence,4,Low,2014-02-19,2014-08-27,2014-10-16,4,0,189,1,1,1 +10538,michael williams,michael,williams,2013-01-26,Male,1993-01-15,23,Less than 25,African-American,0,6,0,0,1,0,2013-01-26 03:59:40,2013-07-23 05:22:24,13001867MM10A,2013-01-26,,0,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-01-26,Risk of Violence,6,Medium,2013-01-26,2013-01-26,2013-07-23,1,178,1161,0,0,0 +10540,courtney knoche,courtney,knoche,2014-11-22,Female,1984-04-30,31,25 - 45,Caucasian,0,1,0,0,1,-1,2014-11-21 07:23:57,2014-11-22 12:08:42,14016653MM10A,2014-11-21,,1,M,Battery,1,15010813MM10A,(M1),1,2015-10-14,Battery,2015-10-15,2015-10-16,,1,15010813MM10A,(M1),2015-10-14,Battery,Risk of Recidivism,1,Low,2014-11-22,Risk of Violence,1,Low,2014-11-22,2015-10-15,2015-10-16,1,0,326,1,1,1 +10544,bruce gerson,bruce,gerson,2013-08-16,Male,1949-04-04,67,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-08-15 12:10:13,2013-08-16 09:07:07,13015495MM10A,2013-08-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-16,Risk of Violence,1,Low,2013-08-16,2013-08-15,2013-08-16,0,0,959,0,0,0 +10545,neil lynch,neil,lynch,2013-05-11,Male,1989-01-29,27,25 - 45,African-American,0,7,0,0,10,-1,2013-05-10 10:08:03,2013-05-11 09:53:27,13006741CF10A,2013-05-10,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-11,Risk of Violence,3,Low,2013-05-11,2013-05-10,2013-05-11,10,0,1056,0,0,0 +10546,nikole curiel,nikole,curiel,2013-09-08,Female,1989-12-13,26,25 - 45,Caucasian,0,6,0,0,1,-1,2013-09-07 04:24:40,2013-09-08 06:08:45,13017059MM10A,2013-09-07,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-08,Risk of Violence,5,Medium,2013-09-08,2013-09-07,2013-09-08,1,0,936,0,0,0 +10548,patrick doerfor,patrick,doerfor,2014-02-27,Male,1965-03-17,51,Greater than 45,Caucasian,0,1,0,0,1,,,,14000988CF10A,2014-01-23,,35,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-27,Risk of Violence,1,Low,2014-02-27,,,1,0,764,0,0,0 +10549,okeel prince-newland,okeel,prince-newland,2013-03-25,Male,1984-07-25,31,25 - 45,Other,0,3,0,0,0,-1,2013-03-24 12:02:43,2013-05-31 02:10:00,13004254CF10A,2013-03-23,,2,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-25,Risk of Violence,3,Low,2013-03-25,2013-03-24,2013-05-31,0,67,1103,0,0,0 +10550,daniel motta,daniel,motta,2013-03-31,Male,1987-12-30,28,25 - 45,Caucasian,0,4,0,0,0,-1,2013-03-30 09:03:05,2013-03-31 07:04:47,13006142MM10A,2013-03-30,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-31,Risk of Violence,5,Medium,2013-03-31,2013-03-30,2013-03-31,0,0,1097,0,0,0 +10552,monica churchill,monica,churchill,2013-01-18,Female,1964-10-05,51,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-17 04:06:24,2013-01-17 08:06:48,13001196MM10A,2013-01-17,,1,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-18,Risk of Violence,1,Low,2013-01-18,2014-02-07,2014-02-07,0,0,385,0,0,0 +10556,britney edwards,britney,edwards,2014-03-13,Female,1988-05-13,27,25 - 45,African-American,0,3,1,0,1,-1,2014-03-12 06:56:34,2014-03-14 09:40:21,14003519CF10A,2014-03-12,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-03-13,Risk of Violence,2,Low,2014-03-13,2014-03-12,2014-03-14,1,1,750,0,0,0 +10557,carl toussaint,carl,toussaint,2013-01-18,Male,1983-09-07,32,25 - 45,African-American,0,4,0,0,5,-1,2013-01-17 09:42:38,2013-01-18 10:00:00,12012807MM10A,,2013-01-17,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-01-18,Risk of Violence,4,Low,2013-01-18,2013-03-15,2013-04-01,5,0,56,0,0,0 +10559,sandy harrell,sandy,harrell,2013-11-20,Male,1989-04-08,27,25 - 45,African-American,0,6,0,0,4,-1,2013-11-19 12:22:07,2013-11-21 04:24:00,13021769MM10A,2013-11-19,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-11-20,Risk of Violence,6,Medium,2013-11-20,2013-11-19,2013-11-21,4,1,863,0,0,0 +10560,david kelley,david,kelley,2014-05-08,Male,1974-08-21,41,25 - 45,Caucasian,0,1,0,0,1,-1,2014-05-07 08:18:13,2014-05-08 09:01:25,14006390CF10A,2014-05-07,,1,F,Aggrav Battery w/Deadly Weapon,1,15008291CF10A,(F3),1,2015-06-26,Tampering With Physical Evidence,2015-06-27,2015-06-28,,1,15008291CF10A,(F2),2015-06-26,Agg Fleeing/Eluding High Speed,Risk of Recidivism,1,Low,2014-05-08,Risk of Violence,1,Low,2014-05-08,2015-06-27,2015-06-28,1,0,414,1,1,1 +10561,rodney toussaint,rodney,toussaint,2013-10-21,Male,1991-09-25,24,Less than 25,African-American,0,10,3,0,12,-1,2013-10-20 06:12:56,2013-11-06 09:00:54,13019829MM10A,2013-10-20,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-10-21,Risk of Violence,9,High,2013-10-21,2013-10-20,2013-11-06,12,16,893,0,0,0 +10563,michael fleming,michael,fleming,2013-02-28,Male,1954-07-12,61,Greater than 45,African-American,0,3,0,0,11,-1,2013-02-27 05:28:41,2013-02-28 08:19:46,13002995CF10A,2013-02-27,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-02-28,Risk of Violence,3,Low,2013-02-28,2013-02-27,2013-02-28,11,0,1128,0,0,0 +10567,jessica scirghio,jessica,scirghio,2013-11-04,Female,1986-11-07,29,25 - 45,Caucasian,0,3,0,0,3,0,2013-11-04 02:30:36,2013-11-04 08:20:56,13013922CF10A,,2013-11-04,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-11-04,Risk of Violence,2,Low,2013-11-04,2014-04-28,2014-04-29,3,0,175,0,0,0 +10568,neil hidalgo,neil,hidalgo,2014-01-24,Male,1981-07-09,34,25 - 45,Caucasian,0,4,0,0,11,-1,2014-01-23 01:51:15,2014-01-24 11:07:09,14000977CF10A,2014-01-23,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-24,Risk of Violence,3,Low,2014-01-24,2014-01-23,2014-01-24,11,0,798,0,0,0 +10570,michael assarian,michael,assarian,2013-07-22,Male,1970-11-22,45,Greater than 45,Caucasian,0,3,0,0,0,-5,2013-07-17 08:06:47,2013-07-18 09:00:52,13010028CF10A,2013-07-17,,5,F,Possession Of Heroin,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-07-22,Risk of Violence,1,Low,2013-07-22,2013-07-17,2013-07-18,0,0,984,0,0,0 +10573,clayton mitchell,clayton,mitchell,2014-01-02,Male,1992-10-11,23,Less than 25,African-American,2,6,0,0,3,,,,12016646CF10A,2012-11-13,,415,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-01-02,Risk of Violence,9,High,2014-01-02,,,3,0,820,0,0,0 +10575,jason hedges,jason,hedges,2013-10-04,Male,1985-01-08,31,25 - 45,Caucasian,0,4,0,0,6,-1,2013-10-03 02:21:05,2013-10-06 04:02:00,13013809CF10A,,2013-10-03,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-04,Risk of Violence,3,Low,2013-10-04,2013-10-03,2013-10-06,6,2,910,0,0,0 +10580,kayla vantreese,kayla,vantreese,2013-08-12,Female,1994-01-27,22,Less than 25,Caucasian,0,8,0,1,1,-1,2013-08-11 11:56:08,2013-08-29 09:24:17,13015158MM10A,2013-08-11,,1,M,Viol Pretrial Release Dom Viol,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-08-12,Risk of Violence,7,Medium,2013-08-12,2013-08-11,2013-08-29,1,17,963,0,0,0 +10585,latavyia tucker,latavyia,tucker,2013-10-02,Female,1990-11-23,25,25 - 45,African-American,0,5,0,0,1,-1,2013-10-01 08:54:04,2013-10-02 09:14:11,13013783CF10A,2013-10-01,,1,F,Aggrav Battery w/Deadly Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-10-02,Risk of Violence,6,Medium,2013-10-02,2013-10-01,2013-10-02,1,0,912,0,0,0 +10588,sergio santibanez-cruz,sergio,santibanez-cruz,2013-03-13,Male,1990-09-08,25,25 - 45,Hispanic,0,3,0,0,1,-43,2013-01-29 09:34:56,2013-02-01 12:17:31,13001439CF10A,2013-01-29,,43,F,Purchase Of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-13,Risk of Violence,3,Low,2013-03-13,2013-01-29,2013-02-01,1,0,1115,0,0,0 +10590,seth jackson,seth,jackson,2013-12-19,Male,1987-01-19,29,25 - 45,African-American,0,5,0,0,1,-1,2013-12-18 02:09:10,2013-12-21 04:37:06,12010013CF10A,,2013-12-18,1,F,arrest case no charge,1,14007386MM10A,(M1),0,2014-05-04,Battery,2014-05-04,2014-05-05,,1,14007386MM10A,(M1),2014-05-04,Battery,Risk of Recidivism,5,Medium,2013-12-19,Risk of Violence,4,Low,2013-12-19,2014-05-04,2014-05-05,1,2,136,1,1,1 +10594,yanielys garcia-fernandez,yanielys,garcia-fernandez,2013-03-25,Female,1983-08-01,32,25 - 45,Hispanic,0,2,0,0,1,-3,2013-03-22 08:37:29,2013-03-23 07:50:59,13001523CF10A,,2013-03-22,3,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-25,Risk of Violence,1,Low,2013-03-25,2013-03-22,2013-03-23,1,0,1103,0,0,0 +10595,massiel espinosa,massiel,espinosa,2013-08-25,Male,1977-03-27,39,25 - 45,Caucasian,0,1,0,0,0,-1,2013-08-24 11:36:32,2013-08-25 08:34:53,13016206MM10A,2013-08-24,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-08-25,Risk of Violence,1,Low,2013-08-25,2013-08-24,2013-08-25,0,0,950,0,0,0 +10596,omar baptiste,omar,baptiste,2013-10-16,Male,1993-06-17,22,Less than 25,Other,0,3,0,1,3,-1,2013-10-15 02:41:31,2013-10-17 04:50:35,13014443CF10A,,2013-10-15,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-16,Risk of Violence,5,Medium,2013-10-16,2014-11-26,2014-12-11,3,1,406,0,0,0 +10604,fenamarie brooks,fenamarie,brooks,2014-01-17,Female,1993-12-01,22,Less than 25,Caucasian,0,6,0,0,2,-31,2013-12-17 12:53:16,2013-12-18 02:19:25,13017222CF10A,,2013-12-17,31,F,arrest case no charge,1,14012053MM10A,(M1),1,2014-08-08,Battery,2014-08-09,2014-08-10,,1,14012053MM10A,(M1),2014-08-08,Battery,Risk of Recidivism,6,Medium,2014-01-17,Risk of Violence,7,Medium,2014-01-17,2014-04-07,2014-04-08,2,0,80,0,1,1 +10606,jesse hartsell,jesse,hartsell,2014-04-01,Male,1990-06-05,25,25 - 45,Caucasian,0,9,0,0,0,-1,2014-03-31 11:29:30,2014-04-01 01:23:09,14005523MM10A,2014-03-31,,1,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-04-01,Risk of Violence,6,Medium,2014-04-01,2014-03-31,2014-04-01,0,0,731,0,0,0 +10619,royal jackson,royal,jackson,2014-06-07,Male,1994-02-05,22,Less than 25,African-American,0,10,0,0,0,-1,2014-06-06 05:49:14,2014-06-07 07:49:48,14009024MM10A,2014-06-06,,1,M,Battery,1,14010732MM10A,(M1),0,2014-07-13,Possess Cannabis/20 Grams Or Less,2014-07-13,2014-08-09,,1,14010732MM10A,(M1),2014-07-13,Battery,Risk of Recidivism,10,High,2014-06-07,Risk of Violence,6,Medium,2014-06-07,2014-07-13,2014-08-09,0,0,36,1,1,1 +10622,miss howard,miss,howard,2014-02-28,Female,1972-02-08,44,25 - 45,African-American,0,6,0,0,6,-1,2014-02-27 02:14:46,2014-03-01 05:31:19,14002810CF10A,2014-02-27,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-28,Risk of Violence,3,Low,2014-02-28,2014-02-27,2014-03-01,6,1,763,0,0,0 +10625,mikel ervin,mikel,ervin,2013-04-06,Male,1992-12-14,23,Less than 25,African-American,0,4,0,0,0,-1,2013-04-05 06:15:45,2013-04-06 10:23:30,13004913CF10A,2013-04-05,,1,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-04-06,Risk of Violence,6,Medium,2013-04-06,2013-04-05,2013-04-06,0,0,1091,0,0,0 +10626,miguel pena,miguel,pena,2014-03-16,Male,1969-07-23,46,Greater than 45,Caucasian,0,1,0,0,0,-1,2014-03-15 04:41:43,2014-03-16 01:23:46,14003668CF10A,2014-03-15,,1,F,Aggravated Assault,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0,0 +10627,christopher mayer,christopher,mayer,2014-01-31,Male,1983-04-01,33,25 - 45,Caucasian,0,4,0,0,2,-14,2014-01-17 04:21:17,2014-01-31 10:00:28,14000748CF10A,2014-01-17,,14,F,Possession of Oxycodone,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-31,Risk of Violence,2,Low,2014-01-31,2014-01-17,2014-01-31,2,0,791,0,0,0 +10629,renee lamarche,renee,lamarche,2013-03-19,Female,1976-02-22,40,25 - 45,Caucasian,0,1,0,0,3,-1,2013-03-18 09:29:31,2013-03-19 01:52:29,13003929CF10A,2013-03-18,,1,F,Possession of Cocaine,1,13006106CF10A,(F3),1,2013-04-28,Possession of Cocaine,2013-04-29,2013-06-03,,1,14011095MM10A,(M1),2014-07-20,Battery,Risk of Recidivism,1,Low,2013-03-19,Risk of Violence,1,Low,2013-03-19,2014-07-20,2014-07-21,3,0,40,1,1,1 +10631,steven kitt,steven,kitt,2013-10-06,Male,1961-07-04,54,Greater than 45,Caucasian,0,3,0,0,7,0,2013-10-06 03:20:08,2013-10-06 07:36:47,13014016CF10A,2013-10-06,,0,F,Possession of Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-06,Risk of Violence,1,Low,2013-10-06,2013-10-06,2013-10-06,7,0,908,0,0,0 +10636,nicholas caffarilla,nicholas,caffarilla,2013-03-24,Male,1994-12-06,21,Less than 25,Caucasian,0,7,0,0,0,-1,2013-03-23 10:29:29,2013-03-24 10:53:35,13005731MM10A,2013-03-23,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-03-24,Risk of Violence,7,Medium,2013-03-24,2013-03-23,2013-03-24,0,0,1104,0,0,0 +10637,daniel finnegan,daniel,finnegan,2014-10-09,Male,1972-05-25,43,25 - 45,Caucasian,0,2,0,0,6,-1,2014-10-08 11:28:22,2014-10-09 02:37:24,14014765MM10A,2014-10-08,,1,M,Assault,1,15011585MM10A,(M1),,2015-09-09,Battery,,,,1,15011585MM10A,(M1),2015-09-09,Battery,Risk of Recidivism,2,Low,2014-10-09,Risk of Violence,4,Low,2014-10-09,2014-10-08,2014-10-09,6,0,335,1,1,1 +10643,jorge aziles,jorge,aziles,2013-05-10,Male,1993-10-01,22,Less than 25,African-American,0,10,0,0,0,-1,2013-05-09 06:01:25,2013-05-13 03:50:36,13008989MM10A,2013-05-09,,1,M,Resist/Obstruct W/O Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-05-10,Risk of Violence,10,High,2013-05-10,2013-05-09,2013-05-13,0,3,1057,0,0,0 +10645,brent curry,brent,curry,2013-04-10,Male,1984-10-01,31,25 - 45,African-American,0,7,0,0,0,0,2013-04-10 01:53:18,2013-04-10 01:49:18,13005110CF10A,2013-04-10,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-04-10,Risk of Violence,3,Low,2013-04-10,2014-06-09,2014-06-23,0,0,425,0,0,0 +10647,gay diamond,gay,diamond,2013-03-12,Female,1965-12-27,50,Greater than 45,Caucasian,0,5,0,0,3,55,2013-05-06 04:40:11,2013-07-02 06:21:16,12014536CF10A,,2012-12-29,73,F,arrest case no charge,1,16001128MO10A,(MO3),0,2016-02-03,,2016-02-03,2016-02-26,,0,,,,,Risk of Recidivism,5,Medium,2013-03-12,Risk of Violence,1,Low,2013-03-12,2013-05-06,2013-07-02,3,0,55,0,0,0 +10648,naiboby castro,naiboby,castro,2014-10-06,Male,1988-09-19,27,25 - 45,Hispanic,0,2,0,0,4,-1,2014-10-05 02:11:54,2014-10-08 05:53:44,14013424CF10A,2014-10-05,,1,F,False Imprisonment,1,15016451CF10A,(F2),,2015-12-25,Agg Battery Grt/Bod/Harm,,,,1,15016451CF10A,(F2),2015-12-25,Agg Battery Grt/Bod/Harm,Risk of Recidivism,2,Low,2014-10-06,Risk of Violence,2,Low,2014-10-06,2014-10-05,2014-10-08,4,2,445,1,1,1 +10649,marcus massicot,marcus,massicot,2014-03-03,Male,1995-01-06,21,Less than 25,African-American,0,5,0,0,1,-1,2014-03-02 01:50:25,2014-03-03 08:36:38,14003559MM10A,2014-03-01,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-03-03,Risk of Violence,7,Medium,2014-03-03,2014-03-02,2014-03-03,1,0,760,0,0,0 +10651,eric newman,eric,newman,2013-08-03,Male,1992-06-02,23,Less than 25,Caucasian,0,6,0,0,0,0,2013-08-03 08:51:49,2013-08-04 08:17:42,13014778MM10A,2013-08-03,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-03,Risk of Violence,7,Medium,2013-08-03,2013-08-03,2013-08-04,0,1,972,0,0,0 +10653,mervin cohen,mervin,cohen,2013-10-07,Male,1951-05-24,64,Greater than 45,African-American,0,2,0,0,0,-1,2013-10-06 02:16:09,2013-10-07 07:49:01,13018992MM10A,2013-10-06,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-10-07,Risk of Violence,1,Low,2013-10-07,2013-10-06,2013-10-07,0,0,907,0,0,0 +10655,daniella octelus,daniella,octelus,2013-02-20,Female,1974-01-01,42,25 - 45,Other,0,1,0,0,0,-1,2013-02-19 06:19:48,2013-11-27 06:50:00,13002529CF10A,2013-02-19,,1,F,Burglary Dwelling Assault/Batt,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-20,Risk of Violence,1,Low,2013-02-20,2013-02-19,2013-11-27,0,280,1136,0,0,0 +10656,tyrone mais,tyrone,mais,2013-11-09,Male,1995-07-21,20,Less than 25,African-American,0,4,0,1,0,-1,2013-11-08 04:19:33,2013-11-09 02:11:07,13015586CF10A,2013-11-08,,1,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-09,Risk of Violence,7,Medium,2013-11-09,2013-11-08,2013-11-09,0,0,874,0,0,0 +10657,tomas rivas,tomas,rivas,2013-04-18,Male,1989-09-27,26,25 - 45,Caucasian,0,2,0,0,1,-1,2013-04-17 01:39:09,2013-04-18 07:32:53,13007445MM10A,2013-04-17,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-18,Risk of Violence,3,Low,2013-04-18,2013-04-17,2013-04-18,1,0,1079,0,0,0 +10660,willie pichardo,willie,pichardo,2014-03-04,Male,1992-12-14,23,Less than 25,Hispanic,0,2,0,0,0,-1,2014-03-03 03:40:05,2014-03-04 09:05:25,14003634MM10A,2014-03-03,,1,M,Battery,1,14008472MM10A,(M1),0,2014-05-27,Battery,2014-05-27,2014-05-28,,1,14008472MM10A,(M1),2014-05-27,Battery,Risk of Recidivism,2,Low,2014-03-04,Risk of Violence,4,Low,2014-03-04,2014-05-27,2014-05-28,0,0,84,1,1,1 +10667,michelle st. surin,michelle,st. surin,2013-05-21,Female,1987-02-27,29,25 - 45,African-American,0,4,0,0,0,,,,13007183CF10A,2013-05-20,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-05-21,Risk of Violence,3,Low,2013-05-21,,,0,0,1046,0,0,0 +10670,twana williams,twana,williams,2013-11-07,Female,1971-03-11,45,Greater than 45,African-American,0,1,0,0,0,-1,2013-11-06 07:53:26,2013-11-07 02:17:37,13015475CF10A,2013-11-06,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-11-07,Risk of Violence,1,Low,2013-11-07,2013-11-06,2013-11-07,0,0,876,0,0,0 +10672,mary nelson,mary,nelson,2014-02-03,Female,1968-05-28,47,Greater than 45,African-American,0,6,0,0,4,-1,2014-02-02 11:14:36,2014-02-03 09:43:18,14001799MM10A,2014-02-02,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-03,Risk of Violence,6,Medium,2014-02-03,2014-02-02,2014-02-03,4,0,788,0,0,0 +10674,uriel young,uriel,young,2013-02-22,Male,1984-04-07,32,25 - 45,African-American,2,10,1,0,9,-1,2013-02-21 07:02:45,2013-04-18 09:12:27,13002666CF10A,2013-02-21,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,10,High,2013-02-22,Risk of Violence,6,Medium,2013-02-22,2016-03-08,2016-04-18,9,55,1110,0,0,0 +10675,michael bentivegna,michael,bentivegna,2014-12-09,Male,1989-03-04,27,25 - 45,Caucasian,0,3,0,0,2,-50,2014-10-20 08:45:47,2014-10-20 07:50:57,14014140CF10A,2014-10-20,,50,F,Felony Batt(Great Bodily Harm),1,16000966MM10A,(M2),0,2016-01-28,Lve/Scen/Acc/Veh/Prop/Damage,2016-01-28,2016-01-31,,1,16000966MM10A,(M1),2016-01-28,Battery,Risk of Recidivism,3,Low,2014-12-09,Risk of Violence,3,Low,2014-12-09,2016-01-28,2016-01-31,2,0,415,1,1,1 +10676,dalphley dieujuste,dalphley,dieujuste,2013-08-27,Male,1992-08-07,23,Less than 25,Other,0,4,0,0,0,-1,2013-08-26 09:14:14,2013-08-27 06:17:54,13012024CF10A,2013-08-26,,1,F,Deliver Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,4,Low,2013-08-27,2013-08-26,2013-08-27,0,0,948,0,0,0 +10682,yanderi soto,yanderi,soto,2013-08-28,Female,1983-02-03,33,25 - 45,Hispanic,0,3,0,0,2,-64,2013-06-25 08:58:27,2013-07-25 12:37:44,13009036CF10A,,2013-06-26,63,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-28,Risk of Violence,2,Low,2013-08-28,2013-06-25,2013-07-25,2,0,947,0,0,0 +10685,saschelle simms,saschelle,simms,2013-08-04,Female,1987-04-22,28,25 - 45,African-American,0,2,0,0,1,-1,2013-08-03 11:07:36,2013-08-04 09:49:46,13010871CF10A,2013-08-03,,1,F,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-08-04,Risk of Violence,2,Low,2013-08-04,2013-08-03,2013-08-04,1,0,971,0,0,0 +10686,martin martinez,martin,martinez,2013-01-01,Male,1980-01-06,36,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-01 07:58:34,2013-02-06 11:17:21,13000050CF10A,2013-01-01,,0,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-01,Risk of Violence,1,Low,2013-01-01,2013-01-01,2013-02-06,0,36,1186,0,0,0 +10689,pedro arencibia,pedro,arencibia,2014-02-25,Male,1983-08-16,32,25 - 45,Hispanic,0,3,0,0,1,0,2014-02-25 04:17:29,2014-02-25 08:55:45,14002669CF10A,2014-02-25,,0,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-25,Risk of Violence,2,Low,2014-02-25,2014-02-25,2014-02-25,1,0,766,0,0,0 +10690,jamon bossier,jamon,bossier,2013-03-15,Male,1992-01-25,24,Less than 25,African-American,0,6,0,0,0,-1,2013-03-14 03:45:06,2013-03-16 09:14:50,13003740CF10A,2013-03-14,,1,F,Resist Officer w/Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-15,Risk of Violence,5,Medium,2013-03-15,2013-03-14,2013-03-16,0,1,1113,0,0,0 +10694,darvin smith,darvin,smith,2013-03-25,Male,1969-12-03,46,Greater than 45,African-American,0,6,0,0,2,-1,2013-03-24 07:46:10,2013-03-25 08:04:20,02004130MM10A,,2013-03-24,1,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-25,Risk of Violence,3,Low,2013-03-25,2013-03-24,2013-03-25,2,0,1103,0,0,0 +10699,irwin baxter,irwin,baxter,2014-04-10,Male,1959-03-11,57,Greater than 45,African-American,0,10,0,0,28,0,2014-04-10 01:28:12,2014-04-12 05:32:50,14005009CF10A,2014-04-10,,0,F,Possession of Cocaine,1,14005452CF10A,(M1),1,2014-04-18,Resist/Obstruct W/O Violence,2014-04-19,2014-05-28,,1,14005452CF10A,(F3),2014-04-18,Battery on Law Enforc Officer,Risk of Recidivism,10,High,2014-04-10,Risk of Violence,6,Medium,2014-04-10,2014-04-10,2014-04-12,28,2,8,1,1,1 +10703,arthur washington,arthur,washington,2013-05-25,Male,1972-12-13,43,25 - 45,African-American,0,7,1,0,23,-1,2013-05-24 08:40:39,2013-09-03 10:05:59,13009421CF10A,2013-05-24,,1,F,Deliver Cocaine 1000FT Park,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-25,Risk of Violence,3,Low,2013-05-25,2014-10-22,2014-10-30,23,101,515,0,0,0 +10706,demetrius weeks,demetrius,weeks,2013-01-02,Male,1973-11-02,42,25 - 45,African-American,0,7,0,0,0,0,2013-01-02 08:01:48,2013-01-09 02:59:21,13000128MM10A,2013-01-01,,1,M,Possess Cannabis/20 Grams Or Less,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-01-02,Risk of Violence,4,Low,2013-01-02,2013-01-02,2013-01-09,0,7,1185,0,0,0 +10708,christopher rhodes,christopher,rhodes,2013-03-22,Male,1989-05-18,26,25 - 45,Caucasian,0,4,0,0,1,-1,2013-03-21 09:52:22,2013-03-27 09:11:42,13001004CF10A,,2013-03-21,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-03-22,Risk of Violence,3,Low,2013-03-22,2013-03-21,2013-03-27,1,5,1106,0,0,0 +10709,allen willey,allen,willey,2013-01-11,Male,1942-04-15,74,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-01-10 09:12:31,2013-01-11 09:20:12,13000584MM10A,2013-01-10,,1,M,Lve/Scen/Acc/Veh/Prop/Damage,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-11,Risk of Violence,1,Low,2013-01-11,2013-01-10,2013-01-11,0,0,1176,0,0,0 +10713,cony bonilla,cony,bonilla,2013-03-11,Female,1991-06-21,24,Less than 25,Hispanic,0,3,0,0,1,-2,2013-03-09 11:55:36,2013-03-10 01:31:32,13004776MM10A,2013-03-09,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-11,Risk of Violence,3,Low,2013-03-11,2013-03-09,2013-03-10,1,0,1117,0,0,0 +10718,shaun shakespeare,shaun,shakespeare,2013-08-21,Male,1994-03-15,22,Less than 25,Other,0,3,0,1,0,-1,2013-08-20 05:01:29,2013-08-21 07:51:21,13011707CF10A,2013-08-20,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-08-21,Risk of Violence,6,Medium,2013-08-21,2013-08-20,2013-08-21,0,0,954,0,0,0 +10719,deandre rolle,deandre,rolle,2013-11-05,Male,1982-09-27,33,25 - 45,African-American,0,4,0,0,2,-1,2013-11-04 06:37:56,2013-11-05 08:59:00,12022838TC10A,2012-03-27,,588,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-05,Risk of Violence,4,Low,2013-11-05,2015-12-21,2015-12-22,2,0,776,0,0,0 +10720,savannah bridges,savannah,bridges,2014-03-26,Male,1994-02-10,22,Less than 25,African-American,0,6,0,0,1,-1,2014-03-25 06:56:44,2014-03-26 01:24:02,14005166MM10A,2014-03-25,,1,M,Battery,1,15002685MM10A,(M1),0,2015-03-06,Battery,2015-03-06,2015-03-07,,1,15002685MM10A,(M1),2015-03-06,Battery,Risk of Recidivism,6,Medium,2014-03-26,Risk of Violence,6,Medium,2014-03-26,2015-03-06,2015-03-07,1,0,345,1,1,1 +10721,john gorczyca,john,gorczyca,2013-12-20,Male,1966-02-25,50,Greater than 45,Caucasian,0,2,0,0,4,-27,2013-11-23 03:50:00,2013-12-19 09:53:42,13022038MM10A,2013-11-23,,27,M,Disorderly Intoxication,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-12-20,Risk of Violence,1,Low,2013-12-20,2013-11-23,2013-12-19,4,0,833,0,0,0 +10728,raquel stewart,raquel,stewart,2013-12-16,Female,1980-10-31,35,25 - 45,African-American,0,7,0,1,5,-1,2013-12-15 08:46:54,2013-12-22 09:08:39,13017314CF10A,2013-12-15,,1,F,Aggrav Battery w/Deadly Weapon,1,14004715CF10A,(M1),0,2014-04-05,Battery,2014-04-05,2014-10-21,,1,14004715CF10A,(F3),2014-04-05,Aggravated Assault W/Dead Weap,Risk of Recidivism,7,Medium,2013-12-16,Risk of Violence,3,Low,2013-12-16,2014-04-05,2014-10-21,5,6,110,1,1,1 +10729,marquis taylor,marquis,taylor,2014-10-16,Male,1982-05-09,33,25 - 45,African-American,0,1,0,0,0,0,2014-10-16 01:24:44,2014-10-16 08:03:13,14013886CF10A,2014-10-15,,1,F,Failure To Return Hired Vehicle,1,15006266MM10A,(M1),0,2015-06-09,Battery,2015-06-09,2015-06-11,,1,15006266MM10A,(M1),2015-06-09,Battery,Risk of Recidivism,1,Low,2014-10-16,Risk of Violence,1,Low,2014-10-16,2015-06-09,2015-06-11,0,0,236,1,1,1 +10730,syreta moye,syreta,moye,2013-03-09,Female,1980-02-13,36,25 - 45,African-American,0,2,0,0,1,-1,2013-03-08 11:42:17,2013-03-09 01:06:11,13004724MM10A,2013-03-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-09,Risk of Violence,1,Low,2013-03-09,2013-03-08,2013-03-09,1,0,1119,0,0,0 +10735,ronald sales,ronald,sales,2014-02-09,Male,1952-10-10,63,Greater than 45,African-American,0,1,0,0,1,-1,2014-02-08 10:04:04,2014-02-10 08:40:22,12016933CF10A,,2014-02-08,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-09,Risk of Violence,1,Low,2014-02-09,2014-02-08,2014-02-10,1,1,782,0,0,0 +10737,barbara mitchell,barbara,mitchell,2013-10-17,Female,1946-08-02,69,Greater than 45,Caucasian,0,3,0,0,5,-3,2013-10-14 10:12:12,2013-10-15 10:25:43,13014378CF10A,2013-10-14,,3,F,,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-17,Risk of Violence,1,Low,2013-10-17,2014-04-17,2014-04-21,5,0,182,0,0,0 +10748,james sauer,james,sauer,2013-04-10,Male,1971-11-08,44,25 - 45,Caucasian,0,1,0,0,1,-1,2013-04-09 08:28:04,2013-04-10 08:06:36,13006872MM10A,2013-04-09,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-10,Risk of Violence,1,Low,2013-04-10,2013-04-09,2013-04-10,1,0,1087,0,0,0 +10749,colleen louis,colleen,louis,2014-01-04,Female,1987-04-03,29,25 - 45,African-American,0,2,0,0,0,-1,2014-01-03 04:12:16,2014-01-04 01:58:37,14000129CF10A,2014-01-03,,1,F,Robbery / No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-04,Risk of Violence,2,Low,2014-01-04,2014-01-03,2014-01-04,0,0,818,0,0,0 +10750,alejandra palacios,alejandra,palacios,2013-12-15,Female,1963-08-11,52,Greater than 45,Caucasian,0,3,0,0,0,-1,2013-12-14 04:55:04,2013-12-15 09:13:15,13023182MM10A,2013-12-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-15,Risk of Violence,1,Low,2013-12-15,2013-12-14,2013-12-15,0,0,838,0,0,0 +10753,jazzy johnson,jazzy,johnson,2013-02-23,Male,1992-10-15,23,Less than 25,African-American,0,10,0,0,1,-1,2013-02-22 03:33:10,2013-02-24 02:27:32,13002753CF10A,2013-02-22,,1,F,Possession of Cocaine,1,13005926CF10A,(F2),0,2013-04-25,Aggravated Battery / Pregnant,2013-04-25,2013-09-17,,1,13005926CF10A,(F2),2013-04-25,Aggravated Battery / Pregnant,Risk of Recidivism,10,High,2013-02-23,Risk of Violence,9,High,2013-02-23,2013-04-25,2013-09-17,1,1,61,1,1,1 +10754,jazmin gonzalez,jazmin,gonzalez,2013-06-03,Female,1993-10-12,22,Less than 25,Hispanic,0,4,0,0,0,-2,2013-06-01 10:56:01,2013-06-02 02:04:54,13010520MM10A,2013-06-01,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-06-03,Risk of Violence,4,Low,2013-06-03,2013-06-01,2013-06-02,0,0,1033,0,0,0 +10756,mazen caceres,mazen,caceres,2014-02-12,Male,1989-10-12,26,25 - 45,Caucasian,0,4,0,0,0,-1,2014-02-11 05:01:54,2014-02-12 02:28:50,14001953CF10A,2014-02-11,,1,F,Tampering With Physical Evidence,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-12,Risk of Violence,2,Low,2014-02-12,2014-02-11,2014-02-12,0,0,779,0,0,0 +10757,christopher tribie,christopher,tribie,2014-06-14,Male,1991-05-30,24,Less than 25,African-American,0,6,0,0,0,-1,2014-06-13 01:32:16,2014-07-03 10:09:04,14009385MM10A,2014-06-13,,1,M,Viol Injunct Domestic Violence,1,14012691CF10A,(F3),,2014-07-08,Stalking (Aggravated),,,,1,14012691CF10A,(F3),2014-07-08,Stalking (Aggravated),Risk of Recidivism,6,Medium,2014-06-14,Risk of Violence,4,Low,2014-06-14,2014-06-13,2014-07-03,0,19,24,1,1,1 +10758,bernitrust harrigan,bernitrust,harrigan,2013-04-06,Male,1970-09-06,45,Greater than 45,African-American,0,2,0,0,4,0,2013-04-06 12:37:10,2013-04-09 12:38:36,13006588MM10A,2013-04-05,,1,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-06,Risk of Violence,1,Low,2013-04-06,2014-10-01,2014-10-07,4,3,543,0,0,0 +10762,priscilla chavez,priscilla,chavez,2013-12-11,Female,1990-03-20,26,25 - 45,Hispanic,0,4,0,0,1,-6,2013-12-05 05:14:02,2013-12-10 07:12:45,13022591MM10A,2013-12-05,,6,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-11,Risk of Violence,3,Low,2013-12-11,2013-12-05,2013-12-10,1,0,842,0,0,0 +10763,garland humpheries,garland,humpheries,2013-03-18,Male,1968-11-14,47,Greater than 45,African-American,0,1,0,0,0,0,2013-03-18 03:42:01,2013-03-19 06:59:08,13005340MM10A,2013-03-18,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-18,Risk of Violence,1,Low,2013-03-18,2013-03-18,2013-03-19,0,1,1110,0,0,0 +10764,tyler flowers,tyler,flowers,2014-07-11,Male,1996-04-18,20,Less than 25,African-American,1,10,0,0,2,-35,2014-06-06 02:21:01,2014-06-07 07:49:32,14007837CF10A,2014-06-06,,35,F,Felony Batt(Great Bodily Harm),1,15006442CF10A,(F2),,2015-05-15,Agg Fleeing/Eluding High Speed,,,,1,15006442CF10A,(F2),2015-05-15,Agg Fleeing/Eluding High Speed,Risk of Recidivism,10,High,2014-07-11,Risk of Violence,10,High,2014-07-11,2014-06-06,2014-06-07,2,0,308,1,1,1 +10765,eric shivers,eric,shivers,2013-08-27,Male,1990-01-07,26,25 - 45,African-American,0,4,0,0,0,0,2013-08-27 05:05:13,2013-08-27 06:56:41,13012107CF10A,2013-08-26,,1,F,Uttering Forged Bills,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-27,Risk of Violence,4,Low,2013-08-27,2013-08-27,2013-08-27,0,0,948,0,0,0 +10769,christopher pulsifer,christopher,pulsifer,2013-04-02,Male,1963-09-26,52,Greater than 45,Caucasian,0,1,0,0,1,0,2013-04-02 01:14:06,2013-04-03 03:39:16,13006365MM10A,2013-04-01,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-02,Risk of Violence,1,Low,2013-04-02,2013-04-02,2013-04-03,1,1,1095,0,0,0 +10770,luis quintero,luis,quintero,2013-04-05,Male,1964-07-07,51,Greater than 45,Caucasian,0,1,0,0,0,0,2013-04-05 12:26:24,2013-04-05 01:22:47,13004864CF10A,,2013-04-04,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-05,Risk of Violence,1,Low,2013-04-05,2013-04-05,2013-04-05,0,0,1092,0,0,0 +10774,berry sanders,berry,sanders,2013-04-09,Male,1968-05-25,47,Greater than 45,African-American,0,1,0,0,7,-1,2013-04-08 07:37:52,2013-06-04 07:39:04,13005048CF10A,2013-04-08,,1,F,Agg Battery Grt/Bod/Harm,1,13010050CF10A,(F1),4,2013-07-13,Kidnapping,2013-07-17,2015-10-12,,1,13010050CF10A,(F3),2013-07-13,Aggravated Assault W/dead Weap,Risk of Recidivism,1,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-04-08,2013-06-04,7,56,95,1,1,1 +10778,roger nichols,roger,nichols,2014-06-13,Male,1977-11-30,38,25 - 45,Caucasian,0,1,0,0,1,-1,2014-06-12 07:29:49,2014-06-13 01:45:37,14021917MU10A,2014-06-12,,1,M,Reckless Driving,1,15005627MM10A,(M1),0,2015-05-22,Battery,2015-05-22,2015-05-23,,1,15005627MM10A,(M1),2015-05-22,Battery,Risk of Recidivism,1,Low,2014-06-13,Risk of Violence,1,Low,2014-06-13,2015-01-16,2015-01-17,1,0,217,0,1,1 +10779,john scolo,john,scolo,2013-04-06,Male,1948-06-09,67,Greater than 45,Caucasian,0,3,0,0,1,-1,2013-04-05 11:40:27,2013-04-06 01:11:53,13004904CF10A,2013-04-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-06,Risk of Violence,1,Low,2013-04-06,2013-04-05,2013-04-06,1,0,1091,0,0,0 +10781,jaynell bristol,jaynell,bristol,2013-07-17,Male,1968-07-07,47,Greater than 45,African-American,0,1,0,0,1,-3,2013-07-14 11:11:51,2013-07-15 01:37:10,13009878CF10A,2013-07-14,,3,F,Battery on Law Enforc Officer,1,15011421MM10A,(M1),0,2015-10-30,Resist/Obstruct W/O Violence,2015-10-30,2015-10-31,,0,,,,,Risk of Recidivism,1,Low,2013-07-17,Risk of Violence,2,Low,2013-07-17,2015-10-30,2015-10-31,1,0,835,1,0,0 +10783,george mihelich,george,mihelich,2013-02-23,Male,1949-07-07,66,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-02-22 01:47:24,2013-02-23 08:24:24,13003748MM10A,2013-02-22,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-02-23,Risk of Violence,1,Low,2013-02-23,2013-02-22,2013-02-23,0,0,1133,0,0,0 +10784,christopher risor,christopher,risor,2014-02-04,Male,1976-10-14,39,25 - 45,Caucasian,0,2,0,0,0,-1,2014-02-03 07:26:31,2014-02-04 07:51:16,14001503CF10A,2014-02-03,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-04,Risk of Violence,1,Low,2014-02-04,2014-02-03,2014-02-04,0,0,787,0,0,0 +10786,adriana cardona,adriana,cardona,2013-09-19,Female,1966-08-31,49,Greater than 45,Caucasian,0,3,0,0,2,-1,2013-09-18 08:32:20,2013-12-09 08:40:42,13017805MM10A,2013-09-18,,1,M,Viol Injunct Domestic Violence,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-09-19,Risk of Violence,1,Low,2013-09-19,2013-09-18,2013-12-09,2,81,925,0,0,0 +10787,lisa scott,lisa,scott,2013-05-10,Female,1970-07-28,45,Greater than 45,African-American,0,7,0,0,9,0,2013-05-10 04:46:42,2013-07-24 09:08:35,13009083MM10A,2013-05-10,,0,M,Battery,1,15001303MM30A,(M1),,2015-08-04,Criminal Mischief>$200<$1000,,,,0,,,,,Risk of Recidivism,7,Medium,2013-05-10,Risk of Violence,9,High,2013-05-10,2013-05-10,2013-07-24,9,75,816,1,0,0 +10788,nadeem ali,nadeem,ali,2013-09-13,Male,1993-09-29,22,Less than 25,Asian,0,2,0,0,1,0,2013-09-13 04:22:12,2013-09-13 10:02:49,13017503MM10A,2013-09-13,,0,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-13,Risk of Violence,4,Low,2013-09-13,2013-09-13,2013-09-13,1,0,931,0,0,0 +10803,robert yaggle,robert,yaggle,2014-02-07,Male,1981-11-04,34,25 - 45,Caucasian,0,1,0,0,5,-1,2014-02-06 07:11:47,2014-02-07 08:33:05,13007035CF10A,,2014-02-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-02-07,Risk of Violence,1,Low,2014-02-07,2014-02-06,2014-02-07,5,0,784,0,0,0 +10805,michael decicco,michael,decicco,2013-08-15,Male,1981-07-06,34,25 - 45,Caucasian,0,5,0,0,13,-90,2013-05-17 02:27:35,2013-06-19 07:55:17,13007065CF10A,2013-05-16,,91,F,Burglary Structure Unoccup,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-15,Risk of Violence,4,Low,2013-08-15,2013-05-17,2013-06-19,13,0,960,0,0,0 +10806,tevin phillips,tevin,phillips,2014-12-31,Male,1993-06-02,22,Less than 25,African-American,0,4,1,0,8,-1,2014-12-30 02:15:57,2015-02-07 09:14:51,14017207CF10A,2014-12-30,,1,F,Burglary Unoccupied Dwelling,1,15006865MM10A,(M1),1,2015-06-26,Resist/Obstruct W/O Violence,2015-06-27,2015-10-22,,1,15006865MM10A,(M1),2015-06-26,Battery,Risk of Recidivism,4,Low,2014-12-31,Risk of Violence,6,Medium,2014-12-31,2015-02-11,2015-06-19,8,38,42,0,1,1 +10808,allen martin,allen,martin,2013-09-30,Male,1989-03-19,27,25 - 45,Caucasian,0,5,2,1,13,-59,2013-08-02 02:13:21,2013-09-28 04:30:00,13012061CF10A,,2013-08-22,39,F,arrest case no charge,1,13022876MM10A,(M2),0,2013-12-06,Disorderly Intoxication,2013-12-06,2013-12-06,,1,14006051CF10A,(F2),2014-04-30,Agg Battery Grt/Bod/Harm,Risk of Recidivism,5,Medium,2013-09-30,Risk of Violence,5,Medium,2013-09-30,2013-12-06,2013-12-06,13,0,67,0,1,1 +10810,reginald prudent,reginald,prudent,2013-03-06,Male,1981-07-16,34,25 - 45,African-American,0,6,0,0,1,-1,2013-03-05 10:06:08,2013-03-06 06:32:31,13002558CF10A,,2013-03-05,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-06,Risk of Violence,3,Low,2013-03-06,2013-03-05,2013-03-06,1,0,1122,0,0,0 +10811,michael valente,michael,valente,2013-08-30,Male,1981-10-12,34,25 - 45,Caucasian,0,5,0,0,1,-2,2013-08-28 05:17:09,2013-08-29 10:00:01,13012154CF10A,2013-08-28,,2,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-30,Risk of Violence,2,Low,2013-08-30,2014-04-24,2014-05-23,1,0,237,0,0,0 +10819,jean cyma,jean,cyma,2014-07-09,Male,1996-03-18,20,Less than 25,Asian,0,10,1,0,2,-1,2014-07-08 01:20:50,2014-08-29 04:10:30,14009437CF10A,2014-07-08,,1,F,Grand Theft in the 3rd Degree,1,15000287CF10A,(F1),,2015-01-05,Murder in 2nd Degree,,,,1,15000287CF10A,(F1),2015-01-05,Murder in 2nd Degree,Risk of Recidivism,10,High,2014-07-09,Risk of Violence,8,High,2014-07-09,2014-07-08,2014-08-29,2,51,180,1,1,1 +10827,luis garcia,luis,garcia,2014-03-16,Male,1975-12-14,40,25 - 45,Caucasian,0,1,0,0,0,-1,2014-03-15 05:42:13,2014-03-16 09:20:50,14003680CF10A,2014-03-15,,1,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-03-16,Risk of Violence,1,Low,2014-03-16,2014-03-15,2014-03-16,0,0,747,0,0,0 +10829,olivia hines,olivia,hines,2013-10-24,Female,1993-09-30,22,Less than 25,African-American,0,6,0,0,1,-97,2013-07-19 02:07:24,2013-10-23 09:05:04,13010086CF10A,2013-07-19,,97,F,Burglary Unoccupied Dwelling,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-10-24,Risk of Violence,6,Medium,2013-10-24,2014-05-13,2014-06-20,1,0,201,0,0,0 +10831,tiffany miller,tiffany,miller,2013-12-05,Female,1989-03-12,27,25 - 45,Caucasian,0,8,0,0,0,0,2013-12-05 03:52:06,2013-12-05 08:05:45,13022575MM10A,2013-12-05,,0,M,Battery,1,14001864CF10A,(F3),1,2014-02-09,Resist Officer w/Violence,2014-02-10,2014-03-03,,1,14001864CF10A,(F3),2014-02-09,Battery on Law Enforc Officer,Risk of Recidivism,8,High,2013-12-05,Risk of Violence,6,Medium,2013-12-05,2016-02-13,2016-02-20,0,0,66,1,1,1 +10835,nicolas barahonaneira,nicolas,barahonaneira,2013-08-15,Male,1993-01-30,23,Less than 25,Hispanic,0,5,0,0,2,-1,2013-08-14 09:28:22,2013-08-16 10:44:46,13011425CF10A,2013-08-14,,1,F,Burglary Conveyance Armed,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-08-15,Risk of Violence,4,Low,2013-08-15,2013-08-14,2013-08-16,2,1,960,0,0,0 +10837,oscar andrews,oscar,andrews,2013-08-15,Male,1969-01-05,47,Greater than 45,African-American,0,6,0,0,14,-1,2013-08-14 05:27:06,2013-09-14 05:54:00,13015392MM10A,2013-08-14,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-08-15,Risk of Violence,1,Low,2013-08-15,2013-08-14,2013-09-14,14,30,960,0,0,0 +10839,michael gardner,michael,gardner,2013-10-04,Male,1977-08-25,38,25 - 45,African-American,2,9,3,0,16,28,2013-11-01 05:17:12,2013-12-04 09:22:13,13012958MM10A,2013-07-08,,88,M,Battery,1,13045764TC10A,(M2),0,2013-11-01,Operating W/O Valid License,2013-11-01,2013-12-04,,1,14001900CF10A,(F2),2014-02-10,Agg Battery Grt/Bod/Harm,Risk of Recidivism,9,High,2013-10-04,Risk of Violence,6,Medium,2013-10-04,2013-11-01,2013-12-04,16,0,28,1,1,1 +10843,edward mejia,edward,mejia,2014-01-29,Male,1991-08-12,24,Less than 25,Hispanic,0,3,0,0,0,0,2014-01-29 03:01:54,2014-01-29 10:17:24,14001636MM10A,2014-01-29,,0,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-29,Risk of Violence,5,Medium,2014-01-29,2014-01-29,2014-01-29,0,0,793,0,0,0 +10848,joseph alvardo,joseph,alvardo,2013-04-19,Male,1985-01-26,31,25 - 45,African-American,0,6,0,0,1,,,,08020871CF10A,,2009-09-03,1324,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-04-19,Risk of Violence,6,Medium,2013-04-19,2009-11-17,2012-02-02,1,0,1078,0,0,0 +10854,alvaro saraviaciudadreal,alvaro,saraviaciudadreal,2013-09-04,Male,1977-10-25,38,25 - 45,Other,0,2,0,0,0,-2,2013-09-02 02:06:21,2013-09-03 07:40:54,13016770MM10A,2013-09-01,,3,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-04,Risk of Violence,1,Low,2013-09-04,2013-09-02,2013-09-03,0,0,940,0,0,0 +10858,odainey rodney,odainey,rodney,2013-11-16,Male,1989-09-25,26,25 - 45,African-American,0,2,0,0,0,0,2013-11-16 04:21:20,2013-11-19 03:33:50,13015927CF10A,2013-11-15,,1,F,Burglary Conveyance Assault/Bat,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-11-16,Risk of Violence,3,Low,2013-11-16,2013-11-16,2013-11-19,0,3,867,0,0,0 +10859,miah johnson,miah,johnson,2013-09-13,Female,1987-11-26,28,25 - 45,African-American,0,8,0,0,5,-1,2013-09-12 09:19:13,2013-09-13 08:10:02,13012896CF10A,2013-09-12,,1,F,Poss Anti-Shoplifting Device,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-09-13,Risk of Violence,4,Low,2013-09-13,2013-09-12,2013-09-13,5,0,931,0,0,0 +10860,alreegus holmes,alreegus,holmes,2014-02-19,Male,1972-09-13,43,25 - 45,African-American,0,6,0,0,5,0,2014-02-19 04:03:28,2014-03-05 10:06:18,09024482MM10A,,2011-02-10,1105,M,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-02-19,Risk of Violence,7,Medium,2014-02-19,2014-02-19,2014-03-05,5,14,772,0,0,0 +10863,omar browne,omar,browne,2014-01-08,Male,1986-09-22,29,25 - 45,African-American,0,2,0,0,2,-1,2014-01-07 08:32:58,2014-01-08 12:24:55,14000285CF10A,2014-01-07,,1,F,Possession of Cannabis,1,15009255CF10A,(F2),0,2015-07-18,Burglary Dwelling Occupied,2015-07-18,2015-07-19,,1,15009255CF10A,(M1),2015-07-17,Battery,Risk of Recidivism,2,Low,2014-01-08,Risk of Violence,2,Low,2014-01-08,2015-07-18,2015-07-19,2,0,556,1,1,1 +10865,douglas bell,douglas,bell,2013-03-07,Male,1941-07-10,74,Greater than 45,Caucasian,0,1,0,0,2,-1,2013-03-06 11:28:06,2013-03-16 01:41:01,05003601CF10A,,2013-03-06,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-07,Risk of Violence,1,Low,2013-03-07,2013-03-06,2013-03-16,2,9,1121,0,0,0 +10869,jeffrey jackson,jeffrey,jackson,2013-05-08,Male,1968-12-03,47,Greater than 45,African-American,0,10,0,0,4,-1,2013-05-07 04:24:58,2013-07-10 11:23:00,13006520CF10A,2013-05-07,,1,F,Possession of Cocaine,1,14009697CF10A,(F3),0,2014-07-16,Possession of Cocaine,2014-07-16,2014-11-11,,1,15003240CF10A,(F2),2015-03-09,Arson II (Vehicle),Risk of Recidivism,10,High,2013-05-08,Risk of Violence,2,Low,2013-05-08,2013-10-14,2014-04-25,4,63,159,0,1,1 +10871,gina hawkins,gina,hawkins,2013-04-01,Female,1972-07-28,43,25 - 45,Caucasian,0,1,0,0,0,-2,2013-03-30 11:02:54,2013-03-31 02:41:31,13006131MM10A,2013-03-30,,2,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-04-01,Risk of Violence,1,Low,2013-04-01,2013-03-30,2013-03-31,0,0,1096,0,0,0 +10874,laneatra brown,laneatra,brown,2013-10-21,Female,1992-01-26,24,Less than 25,African-American,0,4,0,0,0,-3,2013-10-18 10:54:07,2013-10-19 05:46:07,13014619CF10A,2013-10-18,,3,F,Corrupt Public Servant,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-10-21,Risk of Violence,4,Low,2013-10-21,2015-07-20,2015-07-21,0,0,637,0,0,0 +10875,jeremy gordontoylor,jeremy,gordontoylor,2013-01-30,Male,1990-04-07,26,25 - 45,Asian,0,3,0,0,2,-1,2013-01-29 12:36:15,2013-08-17 05:08:15,12017918CF10A,,2013-01-29,1,F,arrest case no charge,1,14011963MM10A,(M1),0,2014-08-07,Tresspass in Struct/Convey Occupy,2014-08-07,2014-08-25,,1,14015887CF10A,(F3),2014-11-26,Att Robbery Sudd Snatch No Weap,Risk of Recidivism,3,Low,2013-01-30,Risk of Violence,5,Medium,2013-01-30,2013-12-12,2013-12-17,2,199,316,0,1,1 +10876,alfonso jackson,alfonso,jackson,2013-04-22,Male,1959-12-06,56,Greater than 45,African-American,0,2,0,0,0,-1,2013-04-21 01:36:24,2013-04-22 01:00:45,13007672MM10A,2013-04-21,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-22,Risk of Violence,1,Low,2013-04-22,2013-04-21,2013-04-22,0,0,1075,0,0,0 +10879,muhammad altaf,muhammad,altaf,2013-12-23,Male,1966-04-22,49,Greater than 45,Caucasian,0,1,0,0,0,-1,2013-12-22 03:16:48,2013-12-23 04:13:00,13017629CF10A,2013-12-22,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-12-23,Risk of Violence,1,Low,2013-12-23,2013-12-22,2013-12-23,0,0,830,0,0,0 +10880,jeanne allen,jeanne,allen,2013-09-16,Female,1979-05-15,36,25 - 45,Other,0,1,0,0,1,-1,2013-09-15 12:56:55,2013-09-16 09:34:51,13017576MM10A,2013-09-15,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-16,Risk of Violence,1,Low,2013-09-16,2013-09-15,2013-09-16,1,0,928,0,0,0 +10882,adrian harper,adrian,harper,2014-01-13,Female,1992-02-18,24,Less than 25,Caucasian,0,4,0,0,1,-3,2014-01-10 05:37:54,2014-01-13 11:49:39,14000458CF10A,2014-01-10,,3,F,Burglary Structure Occupied,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-01-13,Risk of Violence,4,Low,2014-01-13,2014-01-10,2014-01-13,1,0,809,0,0,0 +10884,michael russo,michael,russo,2013-02-01,Male,1988-03-16,28,25 - 45,Caucasian,0,6,0,0,11,-1,2013-01-31 06:11:58,2013-02-01 08:36:46,13001560CF10A,,2013-01-31,1,F,arrest case no charge,1,15004516MM40A,(M2),,2015-11-22,Driving License Suspended,,,,0,,,,,Risk of Recidivism,6,Medium,2013-02-01,Risk of Violence,5,Medium,2013-02-01,2013-01-31,2013-02-01,11,0,1024,1,0,0 +10888,kemisha douglas,kemisha,douglas,2014-05-23,Female,1989-12-19,26,25 - 45,African-American,0,8,0,0,4,-1,2014-05-22 04:00:39,2014-05-23 01:52:25,14008779CF10A,2014-05-22,,1,F,Felony Battery,1,15007820CF10A,(M1),0,2015-05-08,Possess Cannabis/20 Grams Or Less,2015-05-08,2015-05-15,,1,15007820CF10A,(F3),2015-05-08,Felony Battery w/Prior Convict,Risk of Recidivism,8,High,2014-05-23,Risk of Violence,4,Low,2014-05-23,2015-05-08,2015-05-15,4,0,350,1,1,1 +10889,jerry brown,jerry,brown,2013-02-15,Male,1959-10-30,56,Greater than 45,African-American,0,7,0,0,4,-1,2013-02-14 07:01:45,2013-03-03 04:41:34,13002318CF10A,2013-02-14,,1,F,Poss of Cocaine W/I/D/S 1000FT Park,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-02-15,Risk of Violence,4,Low,2013-02-15,2013-02-14,2013-03-03,4,16,1141,0,0,0 +10893,mark galavotti,mark,galavotti,2013-03-15,Male,1957-10-18,58,Greater than 45,Caucasian,0,2,0,0,8,-1,2013-03-14 03:26:36,2013-03-15 06:34:03,13003759CF10A,2013-03-14,,1,M,Criminal Mischief,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-15,Risk of Violence,1,Low,2013-03-15,2013-03-14,2013-03-15,8,0,1113,0,0,0 +10894,kevin williams,kevin,williams,2014-02-14,Male,1982-04-24,33,25 - 45,African-American,0,4,0,0,3,0,2014-02-14 04:44:55,2014-02-14 08:28:11,14002138CF10A,2014-02-14,,0,F,Carrying Concealed Firearm,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2014-02-14,Risk of Violence,4,Low,2014-02-14,2014-02-14,2014-02-14,3,0,777,0,0,0 +10897,adam schult,adam,schult,2013-04-15,Male,1990-05-20,25,25 - 45,Caucasian,4,8,0,0,5,-1,2013-04-14 07:01:35,2013-04-24 07:08:21,13007177MM10A,2013-04-14,,1,M,Resist/Obstruct W/O Violence,1,15007528CF10A,(F2),,2015-04-27,Agg Fleeing/Eluding High Speed,,,,1,15007528CF10A,(F2),2015-04-27,Agg Fleeing/Eluding High Speed,Risk of Recidivism,8,High,2013-04-15,Risk of Violence,7,Medium,2013-04-15,2013-04-14,2013-04-24,5,9,742,1,0,0 +10900,stanley givens,stanley,givens,2014-02-19,Male,1992-10-01,23,Less than 25,African-American,0,2,0,1,0,,,,14002360CF10A,2014-02-19,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-19,Risk of Violence,3,Low,2014-02-19,,,0,0,772,0,0,0 +10907,dominique akins,dominique,akins,2014-01-17,Female,1986-04-13,30,25 - 45,Caucasian,0,5,0,0,3,0,2014-01-17 04:30:08,2014-01-18 03:33:37,14000768CF10A,2014-01-17,,0,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2014-01-17,Risk of Violence,2,Low,2014-01-17,2014-01-17,2014-01-18,3,1,805,0,0,0 +10910,norberto nieves,norberto,nieves,2013-09-22,Male,1985-01-19,31,25 - 45,Hispanic,0,6,0,0,1,-1,2013-09-21 07:38:34,2014-01-16 12:08:33,13018017MM10A,2013-09-21,,1,M,Driving License Suspended,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-09-22,Risk of Violence,5,Medium,2013-09-22,2013-09-21,2014-01-16,1,116,922,0,0,0 +10911,gary balmer,gary,balmer,2013-08-22,Male,1976-07-15,39,25 - 45,Caucasian,0,4,0,0,5,-60,2013-06-23 02:23:40,2013-06-24 08:43:12,13012010MM10A,2013-06-23,,60,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-08-22,Risk of Violence,3,Low,2013-08-22,2013-06-23,2013-06-24,5,0,953,0,0,0 +10913,miguelson pericles,miguelson,pericles,2013-05-13,Male,1994-07-18,21,Less than 25,African-American,0,7,0,0,0,0,2013-05-13 02:38:51,2013-05-13 07:19:19,13006834CF10A,2013-05-13,,0,F,Poss F/Arm Delinq,1,13028844TC10A,(M2),,2013-07-02,Operating W/O Valid License,,,,1,13010999CF10A,(F3),2013-08-06,Attempted Robbery No Weapon,Risk of Recidivism,7,Medium,2013-05-13,Risk of Violence,7,Medium,2013-05-13,2015-10-26,2015-12-02,0,0,50,1,1,1 +10917,darrell miller,darrell,miller,2014-12-24,Male,1972-03-29,44,25 - 45,African-American,0,5,0,1,11,-1,2014-12-23 05:13:16,2014-12-24 09:02:38,14011986CF10A,,2014-12-23,1,F,arrest case no charge,1,15000602CF10A,(F2),0,2015-01-14,Strong Armed Robbery,2015-01-14,2015-10-08,,1,15000602CF10A,(F7),2015-01-14,Burglary Dwelling Assault/Batt,Risk of Recidivism,5,Medium,2014-12-24,Risk of Violence,3,Low,2014-12-24,2015-01-14,2015-10-08,11,0,21,1,1,1 +10918,curtis woolwine,curtis,woolwine,2014-01-23,Male,1986-04-09,30,25 - 45,Caucasian,0,3,0,0,2,-1,2014-01-22 08:24:04,2014-03-26 09:45:11,12010890CF10A,,2014-01-22,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-01-23,Risk of Violence,2,Low,2014-01-23,2014-01-22,2014-03-26,2,62,799,0,0,0 +10920,bradley ecklund,bradley,ecklund,2013-01-11,Male,1981-06-23,34,25 - 45,Caucasian,0,5,0,0,4,0,2013-01-11 01:39:37,2013-01-12 03:08:33,13000503CF10A,2013-01-10,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-01-11,Risk of Violence,5,Medium,2013-01-11,2015-07-23,2015-07-23,4,1,923,0,0,0 +10921,gabriele lubin,gabriele,lubin,2013-04-16,Male,1990-03-27,26,25 - 45,African-American,0,2,0,0,2,-1,2013-04-15 06:36:52,2013-04-16 01:55:52,12019369TC10A,2012-04-08,,373,M,Unlaw LicTag/Sticker Attach,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-16,Risk of Violence,3,Low,2013-04-16,2013-04-15,2013-04-16,2,0,1081,0,0,0 +10922,sixto durand,sixto,durand,2014-01-30,Male,1964-09-05,51,Greater than 45,Caucasian,0,1,0,0,4,-26,2014-01-04 08:25:00,2014-01-05 01:49:50,14000165MM10A,2014-01-04,,26,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-30,Risk of Violence,1,Low,2014-01-30,2014-01-04,2014-01-05,4,0,792,0,0,0 +10924,prasada solomon,prasada,solomon,2014-02-09,Male,1980-02-16,36,25 - 45,African-American,0,2,0,0,0,-1,2014-02-08 07:50:02,2014-02-11 06:47:00,14005069MU10A,2014-02-08,,1,M,DUI - Enhanced,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-09,Risk of Violence,1,Low,2014-02-09,2014-02-08,2014-02-11,0,2,782,0,0,0 +10927,devin richardson,devin,richardson,2013-03-19,Male,1994-08-25,21,Less than 25,African-American,0,6,0,0,1,-1,2013-03-18 06:47:56,2013-04-17 05:52:36,13003944CF10A,2013-03-18,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2013-03-19,Risk of Violence,5,Medium,2013-03-19,2013-03-18,2013-04-17,1,29,1109,0,0,0 +10928,leevon cruse,leevon,cruse,2013-02-09,Male,1956-06-13,59,Greater than 45,African-American,0,5,0,0,5,0,2013-02-09 08:15:34,2013-07-10 12:55:41,07003637MO10A,2007-02-15,,2186,M,Alcoholic Beverage Violation-FL,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-02-09,Risk of Violence,3,Low,2013-02-09,2015-07-08,2015-07-14,5,151,879,0,0,0 +10931,bryan torres,bryan,torres,2013-10-21,Male,1988-02-25,28,25 - 45,Hispanic,0,3,0,0,1,-1,2013-10-20 11:40:38,2013-10-21 02:31:56,13014675CF10A,2013-10-20,,1,F,Robbery Sudd Snatch No Weapon,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-21,Risk of Violence,2,Low,2013-10-21,2013-10-20,2013-10-21,1,0,893,0,0,0 +10932,jason reid,jason,reid,2013-03-30,Male,1978-05-26,37,25 - 45,African-American,0,3,0,0,4,-1,2013-03-29 01:17:49,2013-03-30 08:27:14,13004546CF10A,2013-03-29,,1,F,Fleeing Or Attmp Eluding A Leo,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-03-30,Risk of Violence,2,Low,2013-03-30,2013-03-29,2013-03-30,4,0,1098,0,0,0 +10934,ismael ramos,ismael,ramos,2013-01-25,Male,1974-12-02,41,25 - 45,Caucasian,0,1,0,0,0,0,2013-01-25 05:56:04,2013-01-25 07:46:25,13001848MM10A,2013-01-25,,0,M,Driving Under The Influence,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-25,Risk of Violence,1,Low,2013-01-25,2013-01-25,2013-01-25,0,0,1162,0,0,0 +10939,katherine cambareri,katherine,cambareri,2013-06-25,Female,1962-02-04,54,Greater than 45,Caucasian,0,1,0,0,1,-2,2013-06-23 08:13:05,2013-06-24 08:15:59,13012008MM10A,2013-06-23,,2,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-06-25,Risk of Violence,1,Low,2013-06-25,2013-06-23,2013-06-24,1,0,1011,0,0,0 +10940,jonathan cruz,jonathan,cruz,2014-02-09,Male,1986-03-10,30,25 - 45,Caucasian,0,9,0,0,2,-1,2014-02-08 06:04:28,2014-02-14 06:14:23,14002208MM10A,2014-02-08,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2014-02-09,Risk of Violence,7,Medium,2014-02-09,2014-02-08,2014-02-14,2,5,782,0,0,0 +10941,georbel gonzalez-rodriguez,georbel,gonzalez-rodriguez,2013-03-30,Male,1987-12-22,28,25 - 45,Caucasian,0,4,0,0,0,-1,2013-03-29 04:43:06,2013-03-30 08:21:07,13006091MM10A,2013-03-29,,1,M,Battery,1,13011202MM10A,(M1),0,2013-05-10,Battery,2013-05-10,2013-05-10,,1,13006734CF10A,(F3),2013-05-10,Aggravated Assault W/dead Weap,Risk of Recidivism,4,Low,2013-03-30,Risk of Violence,3,Low,2013-03-30,2013-05-10,2013-05-10,0,0,41,0,1,1 +10942,khameron walls,khameron,walls,2013-01-21,Male,1994-02-14,22,Less than 25,African-American,0,5,0,0,0,-1,2013-01-20 04:48:05,2013-01-22 08:48:56,13001376MM10A,2013-01-20,,1,M,Battery,1,15002228MM10A,(M1),0,2015-02-23,Trespass After Warning,2015-02-23,2015-02-24,,0,,,,,Risk of Recidivism,5,Medium,2013-01-21,Risk of Violence,7,Medium,2013-01-21,2015-02-23,2015-02-24,0,1,763,1,0,0 +10946,rachard guide,rachard,guide,2013-05-05,Male,1988-11-05,27,25 - 45,African-American,0,5,0,2,1,-1,2013-05-04 07:48:46,2013-05-20 08:17:45,13008645MM10A,2013-05-04,,1,M,DUI Property Damage/Injury,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-05-05,Risk of Violence,8,High,2013-05-05,2013-05-04,2013-05-20,1,15,1062,0,0,0 +10948,anthony lupo,anthony,lupo,2013-12-05,Male,1964-07-04,51,Greater than 45,Caucasian,0,3,0,0,7,35,2014-01-09 01:09:05,2014-01-09 08:58:14,13016789CF10A,2013-10-04,,62,F,Tamper With Witness,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-12-05,Risk of Violence,1,Low,2013-12-05,2014-01-09,2014-01-09,7,0,35,0,0,0 +10951,ronald munoz,ronald,munoz,2013-04-30,Male,1993-10-18,22,Less than 25,Hispanic,0,3,0,1,0,-1,2013-04-29 09:03:27,2013-04-30 01:01:44,13008303MM10A,2013-04-29,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-04-30,Risk of Violence,5,Medium,2013-04-30,2013-04-29,2013-04-30,0,0,1067,0,0,0 +10952,robert sepulveda,robert,sepulveda,2013-04-09,Male,1982-02-26,34,25 - 45,Caucasian,0,2,0,0,1,-50,2013-02-18 10:13:07,2013-02-19 09:17:41,13002475CF10A,2013-02-18,,50,F,Unauth Poss ID Card or DL,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-09,Risk of Violence,1,Low,2013-04-09,2013-02-18,2013-02-19,1,0,1088,0,0,0 +10954,miguel cruz,miguel,cruz,2013-09-11,Female,1993-12-22,22,Less than 25,Caucasian,0,7,0,0,1,-1,2013-09-10 10:34:03,2013-09-11 02:00:32,13012786CF10A,2013-09-10,,1,F,"Poss3,4 Methylenedioxymethcath",0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-09-11,Risk of Violence,6,Medium,2013-09-11,2014-10-02,2015-01-26,1,0,386,0,0,0 +10955,patricia cooke,patricia,cooke,2013-04-06,Female,1967-01-31,49,Greater than 45,Caucasian,0,2,0,0,3,-1,2013-04-05 11:37:54,2013-04-06 01:30:26,13004903CF10A,2013-04-05,,1,F,Grand Theft in the 3rd Degree,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-04-06,Risk of Violence,1,Low,2013-04-06,2013-04-05,2013-04-06,3,0,1091,0,0,0 +10956,linda dawson,linda,dawson,2013-01-26,Female,1955-01-19,61,Greater than 45,Caucasian,0,1,0,0,1,0,2013-01-26 12:29:59,2013-01-26 08:38:29,13001823MM10A,2013-01-25,,1,M,DUI Level 0.15 Or Minor In Veh,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-01-26,Risk of Violence,1,Low,2013-01-26,2013-01-26,2013-01-26,1,0,1161,0,0,0 +10958,edna lewis,edna,lewis,2014-03-09,Female,1967-01-20,49,Greater than 45,Caucasian,0,6,0,0,2,-1,2014-03-08 06:20:31,2014-03-19 01:28:37,14003305CF10A,2014-03-08,,1,F,Grand Theft (Motor Vehicle),0,,,,,,,,,0,,,,,Risk of Recidivism,6,Medium,2014-03-09,Risk of Violence,1,Low,2014-03-09,2014-03-08,2014-03-19,2,10,754,0,0,0 +10963,paul wyatt,paul,wyatt,2013-11-06,Male,1973-09-19,42,25 - 45,Caucasian,0,4,0,0,5,-1,2013-11-05 08:48:20,2013-12-06 11:30:35,13015432CF10A,,2013-11-06,0,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-11-06,Risk of Violence,2,Low,2013-11-06,2013-11-05,2013-12-06,5,30,877,0,0,0 +10964,terrence brown,terrence,brown,2013-02-23,Male,1979-06-08,36,25 - 45,African-American,0,4,0,0,9,-1,2013-02-22 08:41:18,2013-04-21 02:27:19,13002736CF10A,2013-02-22,,1,F,Driving While License Revoked,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-02-23,Risk of Violence,2,Low,2013-02-23,2013-02-22,2013-04-21,9,57,1133,0,0,0 +10966,shameel koya,shameel,koya,2013-03-04,Male,1979-10-12,36,25 - 45,Caucasian,0,1,0,0,0,-1,2013-03-03 10:17:13,2013-03-04 08:33:46,13004323MM10A,2013-03-03,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-03-04,Risk of Violence,1,Low,2013-03-04,2013-03-03,2013-03-04,0,0,1124,0,0,0 +10969,eric sparks,eric,sparks,2013-01-11,Male,1991-07-13,24,Less than 25,African-American,0,3,0,0,2,-1,2013-01-10 09:02:17,2013-02-12 09:16:30,13002115TC10A,,2013-01-11,0,M,arrest case no charge,1,14009468CF10A,(F3),0,2014-07-10,False Imprisonment,2014-07-10,2014-11-18,,1,14009468CF10A,(F2),2014-07-10,Agg Battery Grt/Bod/Harm,Risk of Recidivism,3,Low,2013-01-11,Risk of Violence,4,Low,2013-01-11,2013-07-09,2013-07-16,2,32,179,0,1,1 +10971,eugene drogus,eugene,drogus,2014-01-07,Male,1948-10-17,67,Greater than 45,Caucasian,0,2,0,0,2,-244,2013-05-08 10:06:56,2013-06-05 10:30:00,08023125CF10A,,2013-05-08,244,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-01-07,Risk of Violence,1,Low,2014-01-07,2013-05-08,2013-06-05,2,0,815,0,0,0 +10972,matt munoz,matt,munoz,2013-09-12,Male,1984-03-22,32,25 - 45,Caucasian,0,2,0,0,0,-1,2013-09-11 08:56:37,2013-09-12 07:30:00,13012859CF10A,2013-09-11,,1,F,Pos Cannabis W/Intent Sel/Del,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-12,Risk of Violence,1,Low,2013-09-12,2013-09-11,2013-09-12,0,0,932,0,0,0 +10975,warren aiken,warren,aiken,2013-09-05,Male,1990-09-30,25,25 - 45,African-American,0,2,0,0,1,-14,2013-08-22 09:32:29,2013-08-31 06:13:28,13011827CF10A,2013-08-22,,14,F,Felony Batt(Great Bodily Harm),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-09-05,Risk of Violence,3,Low,2013-09-05,2016-01-22,2016-01-22,1,0,869,0,0,0 +10976,arleen martin,arleen,martin,2014-12-19,Female,1985-08-14,30,25 - 45,Caucasian,0,1,0,0,2,0,2014-12-19 04:46:47,2014-12-20 08:52:23,14017860MM10A,2014-12-19,,0,M,Battery,1,15015652CF10A,(F3),1,2015-12-05,Felony Battery (Dom Strang),2015-12-06,2015-12-07,,1,15015652CF10A,(F3),2015-12-05,Felony Battery (Dom Strang),Risk of Recidivism,1,Low,2014-12-19,Risk of Violence,1,Low,2014-12-19,2014-12-19,2014-12-20,2,1,351,1,1,1 +10979,angelita diaz,angelita,diaz,2013-09-06,Male,1972-07-19,43,25 - 45,African-American,0,1,0,0,0,-1,2013-09-05 05:04:14,2013-09-06 06:09:14,13016969MM10A,2013-09-05,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2013-09-06,Risk of Violence,1,Low,2013-09-06,2013-09-05,2013-09-06,0,0,938,0,0,0 +10980,jarvis yates,jarvis,yates,2014-02-27,Male,1987-08-27,28,25 - 45,African-American,0,2,0,0,1,-1,2014-02-26 10:21:54,2014-02-27 08:12:01,14002743CF10A,,2014-02-26,1,F,arrest case no charge,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-02-27,Risk of Violence,2,Low,2014-02-27,2014-02-26,2014-02-27,1,0,764,0,0,0 +10981,orett harrison,orett,harrison,2013-12-25,Male,1984-03-31,32,25 - 45,African-American,0,5,0,0,4,-1,2013-12-24 08:35:19,2013-12-25 07:10:52,13017770CF10A,2013-12-24,,1,F,Felony Driving While Lic Suspd,0,,,,,,,,,0,,,,,Risk of Recidivism,5,Medium,2013-12-25,Risk of Violence,3,Low,2013-12-25,2015-10-09,2015-10-10,4,0,653,0,0,0 +10982,austin harris,austin,harris,2013-10-01,Male,1992-07-07,23,Less than 25,Caucasian,0,8,0,0,0,-1,2013-09-30 10:10:28,2013-10-03 07:24:16,13013703CF10A,2013-09-30,,1,F,Possession Of Methamphetamine,0,,,,,,,,,0,,,,,Risk of Recidivism,8,High,2013-10-01,Risk of Violence,6,Medium,2013-10-01,2013-09-30,2013-10-03,0,2,913,0,0,0 +10987,ceasar gomez,ceasar,gomez,2013-03-31,Male,1990-02-07,26,25 - 45,Hispanic,0,2,0,0,0,0,2013-03-31 02:52:44,2013-09-20 10:30:37,13004619CF10A,2013-03-31,,0,F,Felony Battery (Dom Strang),0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2013-03-31,Risk of Violence,3,Low,2013-03-31,2014-02-16,2014-02-27,0,173,322,0,0,0 +10988,luis fernandez,luis,fernandez,2013-10-27,Male,1971-09-19,44,25 - 45,Hispanic,0,3,0,0,0,-1,2013-10-26 08:09:42,2013-10-27 08:21:36,13014982CF10A,2013-10-26,,1,F,Uttering a Forged Instrument,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2013-10-27,Risk of Violence,1,Low,2013-10-27,2013-10-26,2013-10-27,0,0,887,0,0,0 +10989,rodney montgomery,rodney,montgomery,2013-12-28,Male,1985-09-28,30,25 - 45,African-American,0,4,0,0,2,-1,2013-12-27 09:29:12,2014-01-02 06:27:38,13023885MM10A,2013-12-27,,1,M,Battery,0,,,,,,,,,0,,,,,Risk of Recidivism,4,Low,2013-12-28,Risk of Violence,3,Low,2013-12-28,2013-12-27,2014-01-02,2,5,825,0,0,0 +10990,christopher tun,christopher,tun,2013-05-28,Male,1992-04-28,23,Less than 25,Caucasian,0,10,2,1,5,52,2013-07-19 11:56:18,2013-08-01 05:43:19,11000491MM30A,,2013-01-06,142,M,arrest case no charge,1,15002327MM10A,(M2),0,2014-11-16,Assault,2014-11-16,2015-03-06,,1,15002327MM10A,(M2),2014-11-16,Assault,Risk of Recidivism,10,High,2013-05-28,Risk of Violence,9,High,2013-05-28,2013-07-19,2013-08-01,5,0,52,0,1,1 +10995,raheem smith,raheem,smith,2013-10-20,Male,1995-06-28,20,Less than 25,African-American,0,9,0,0,0,-1,2013-10-19 11:17:15,2013-10-20 08:13:06,13014650CF10A,2013-10-19,,1,F,Possession of Cocaine,0,,,,,,,,,0,,,,,Risk of Recidivism,9,High,2013-10-20,Risk of Violence,9,High,2013-10-20,2014-04-07,2014-04-27,0,0,169,0,0,0 +10996,steven butler,steven,butler,2013-11-23,Male,1992-07-17,23,Less than 25,African-American,0,7,0,0,0,-1,2013-11-22 05:18:27,2013-11-24 02:59:20,13016249CF10A,2013-11-22,,1,F,Deliver Cannabis,0,,,,,,,,,0,,,,,Risk of Recidivism,7,Medium,2013-11-23,Risk of Violence,5,Medium,2013-11-23,2013-11-22,2013-11-24,0,1,860,0,0,0 +10997,malcolm simmons,malcolm,simmons,2014-02-01,Male,1993-03-25,23,Less than 25,African-American,0,3,0,0,0,-1,2014-01-31 07:13:54,2014-02-02 04:03:52,14001422CF10A,2014-01-31,,1,F,Leaving the Scene of Accident,0,,,,,,,,,0,,,,,Risk of Recidivism,3,Low,2014-02-01,Risk of Violence,5,Medium,2014-02-01,2014-01-31,2014-02-02,0,1,790,0,0,0 +10999,winston gregory,winston,gregory,2014-01-14,Male,1958-10-01,57,Greater than 45,Other,0,1,0,0,0,-1,2014-01-13 05:48:01,2014-01-14 07:49:46,14000581CF10A,2014-01-13,,1,F,Aggravated Battery / Pregnant,0,,,,,,,,,0,,,,,Risk of Recidivism,1,Low,2014-01-14,Risk of Violence,1,Low,2014-01-14,2014-01-13,2014-01-14,0,0,808,0,0,0 +11000,farrah jean,farrah,jean,2014-03-09,Female,1982-11-17,33,25 - 45,African-American,0,2,0,0,3,-1,2014-03-08 08:06:02,2014-03-09 12:18:04,14003308CF10A,2014-03-08,,1,M,Battery on Law Enforc Officer,0,,,,,,,,,0,,,,,Risk of Recidivism,2,Low,2014-03-09,Risk of Violence,2,Low,2014-03-09,2014-03-08,2014-03-09,3,0,754,0,0,0 diff --git a/data/baseline_ricci.csv b/data/baseline_ricci.csv new file mode 100644 index 0000000..2d9a1ea --- /dev/null +++ b/data/baseline_ricci.csv @@ -0,0 +1,119 @@ +Position,Oral,Written,Race,Combine +Captain,89.52,95,W,92.808 +Captain,80,95,W,89 +Captain,82.38,87,W,85.152 +Captain,88.57,76,W,81.028 +Captain,76.19,84,W,80.876 +Captain,76.19,82,H,79.676 +Captain,76.19,82,W,79.676 +Captain,70,84,H,78.4 +Captain,73.81,81,W,78.124 +Captain,84.29,72,W,76.916 +Captain,87.62,69,W,76.448 +Captain,80,74,W,76.4 +Captain,79.05,74,H,76.02 +Captain,73.81,77,W,75.724 +Captain,76.67,74,W,75.068 +Captain,82.38,70,B,74.952 +Captain,73.33,74,W,73.732 +Captain,70,76,W,73.6 +Captain,68.57,74,B,71.828 +Captain,82.38,64,W,71.352 +Captain,56.67,81,W,71.268 +Captain,70.95,70,B,70.38 +Captain,62.38,75,W,69.952 +Captain,78.57,64,W,69.828 +Captain,71.43,68,W,69.372 +Captain,71.43,68,W,69.372 +Captain,59.05,76,W,69.22 +Captain,60.48,75,H,69.192 +Captain,57.14,75,W,67.856 +Captain,52.38,77,B,67.152 +Captain,67.14,65,H,65.856 +Captain,55.24,68,W,62.896 +Captain,58.57,65,H,62.428 +Captain,48.57,69,W,60.828 +Captain,67.62,56,B,60.648 +Captain,57.14,61,H,59.456 +Captain,70.48,50,B,58.192 +Captain,42.86,67,H,57.344 +Captain,53.81,58,W,56.324 +Captain,60,53,B,55.8 +Captain,54.76,49,B,51.304 +Lieutenant,88.75,91,W,90.1 +Lieutenant,87.5,87,W,87.2 +Lieutenant,77.5,91,W,85.6 +Lieutenant,85,84,W,84.4 +Lieutenant,80,87,W,84.2 +Lieutenant,73.75,91,W,84.1 +Lieutenant,80.83,84,W,82.732 +Lieutenant,73.33,89,W,82.732 +Lieutenant,63.75,95,W,82.5 +Lieutenant,68.33,91,W,81.932 +Lieutenant,69.58,86,W,79.432 +Lieutenant,73.75,81,W,78.1 +Lieutenant,58.75,89,W,76.9 +Lieutenant,77.5,76,B,76.6 +Lieutenant,61.25,86,B,76.1 +Lieutenant,80.42,73,B,75.968 +Lieutenant,74.17,77,W,75.868 +Lieutenant,63.33,83,W,75.132 +Lieutenant,87.5,66,W,74.6 +Lieutenant,65.83,80,B,74.332 +Lieutenant,78.33,70,W,73.332 +Lieutenant,70.83,74,B,72.732 +Lieutenant,66.67,76,W,72.268 +Lieutenant,92.08,59,B,72.232 +Lieutenant,72.5,72,W,72.2 +Lieutenant,73.33,71,W,71.932 +Lieutenant,55,82,H,71.2 +Lieutenant,69.17,72,H,70.868 +Lieutenant,65.83,74,W,70.732 +Lieutenant,58.33,79,W,70.732 +Lieutenant,53.75,82,H,70.7 +Lieutenant,77.5,66,W,70.6 +Lieutenant,73.75,68,W,70.3 +Lieutenant,71.67,69,W,70.068 +Lieutenant,64.58,73,W,69.632 +Lieutenant,70.83,68,H,69.132 +Lieutenant,73.75,66,W,69.1 +Lieutenant,58.75,76,W,69.1 +Lieutenant,51.25,80,W,68.5 +Lieutenant,62.5,72,H,68.2 +Lieutenant,51.67,79,W,68.068 +Lieutenant,70.83,65,B,67.332 +Lieutenant,64.58,69,W,67.232 +Lieutenant,79.17,59,W,67.068 +Lieutenant,56.25,73,H,66.3 +Lieutenant,55,73,W,65.8 +Lieutenant,66.25,65,B,65.5 +Lieutenant,50.42,75,W,65.168 +Lieutenant,57.5,70,H,65 +Lieutenant,69.17,60,B,63.668 +Lieutenant,51.67,71,H,63.268 +Lieutenant,71.67,57,W,62.868 +Lieutenant,50.42,71,H,62.768 +Lieutenant,56.25,66,W,62.1 +Lieutenant,56.67,64,B,61.068 +Lieutenant,56.25,64,B,60.9 +Lieutenant,42.5,73,H,60.8 +Lieutenant,51.25,67,H,60.7 +Lieutenant,55,64,B,60.4 +Lieutenant,51.25,66,B,60.1 +Lieutenant,49.58,67,W,60.032 +Lieutenant,60,60,W,60 +Lieutenant,46.25,68,H,59.3 +Lieutenant,60.83,58,B,59.132 +Lieutenant,57.92,58,W,57.968 +Lieutenant,51.25,62,W,57.7 +Lieutenant,44.58,66,W,57.432 +Lieutenant,44.17,66,H,57.268 +Lieutenant,45.42,65,W,57.168 +Lieutenant,55.83,58,B,57.132 +Lieutenant,54.58,58,W,56.632 +Lieutenant,58.75,55,B,56.5 +Lieutenant,40.83,64,H,54.732 +Lieutenant,52.08,56,B,54.432 +Lieutenant,48.33,58,H,54.132 +Lieutenant,52.92,49,B,50.568 +Lieutenant,45.83,46,B,45.932 \ No newline at end of file diff --git a/data/baseline_ricci.txt b/data/baseline_ricci.txt new file mode 100644 index 0000000..1a1d6d7 --- /dev/null +++ b/data/baseline_ricci.txt @@ -0,0 +1,65 @@ +NAME: Data set arising from the Ricci v. DeStefano case +TYPE: Observational data +SIZE: 118 observations, 5 variables + +DESCRIPTIVE ABSTRACT: +The data set contains the oral, written and combined test scores for 2003 New Haven Fire Department +promotion exams. The Race and Position for each test taker are also given. + + +SOURCES: +The data was obtained from the district court's decision, the briefs and appendices to them. + +Ricci v. DeStefeno, 554 F. Supp. 2d 142 (United States District Court for the district of Connecticut) + + +VARIABLE DESCRIPTIONS: + +Columns +1 Race -- W = white, H=Hispanic, B=black +3-12 Position -- Captain or Lieutenant +14-18 Oral -- Oral exam score +20-21 Written -- Written exam score +23-28 Combine -- Weighted total score, with 60% written and 40% oral + +Values are centered and delimited by blanks. There are no missing values. + +STORY BEHIND THE DATA: +In November and December of 2003, the New Haven Fire Department administered oral and written exams +for promotion to Lieutenant and Captain. Under the contract between the City of New Haven and the +firefighter's union, the written exam received a weight of 60% and oral exam received a weight of 40%. +Applicants with a total score of 70% or above pass the exam and become eligible for promotion. A total +of 118 firefighters took the exam. Among them, 77 took the Lieutenant exam, and 41 took the Captain exam. +During the time of the exams, there were 8 Lieutenant and 7 Captain positions available. The City Charter of +New Haven specifies that when "g" promotions are made, the Department must select them from the top +"g+2" scorers. Consequently, top 10 Lieutenant scorers and top 9 Captain scorers are eligible for +potential promotion. The City of New Haven decided not to certify the exam and promoted no one, +because an insufficient number of minorities would receive a promotion to an existing position. +Ricci and other test-takers who would be considered for promotion had the city certified the exam +sued the city for reverse discrimination. The District Court decided that the plaintiffs did not +have a viable disparate impact claim. The appeals court confirmed the district court's ruling in +Feb, 2008. On June 29, 2009, the Supreme Court decided that the City's failure to certify the tests +was a violation of Title VII of the Civil Rights Act of 1964. + +PEDAGOGICAL NOTES: +There are three races in the data: white, Hispanic and black. The data can be used for one-way ANOVA on +equality of average test scores for three races; two-way ANOVA for +equlity of test scores for race and position; chi-square test on the equality +of pass rates for three races; Fisher-Freeman-Halton test on the equality of the potential promotion +rates. + +Instructors can also combine blacks and Hispanics as minority. Then the following analysis can be made: +two-sample t-test on equality of average test scores for majority v. minority; chi-square test on the +equality of pass rates for majority v. minority; Fisher's exact test on equality of the potential +promotion rates for majority v.minority. + +SUBMITTED BY: +Weiwen Miao +Department of Mathematics +Haverford College +Haverford, PA 19041 +wmiao@haverford.edu + + + + diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 0000000..d4bb2cb --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = . +BUILDDIR = _build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/conf.py b/docs/conf.py new file mode 100644 index 0000000..9b43ee7 --- /dev/null +++ b/docs/conf.py @@ -0,0 +1,49 @@ +# Configuration file for the Sphinx documentation builder. +# +# For the full list of built-in configuration values, see the documentation: +# https://www.sphinx-doc.org/en/master/usage/configuration.html + +# import solar_theme +# import sphinx_pdj_theme +# import sphinx_readable_theme + + +# -- Project information ----------------------------------------------------- +# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information + +project = 'PyFairness' +copyright = '2025, eustomaqua' +author = 'eustomaqua' +release = '0.1.0' + + +# -- General configuration --------------------------------------------------- +# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration + +extensions = [] + +templates_path = ['_templates'] +exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] + + +# -- Options for HTML output ------------------------------------------------- +# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output + +# html_theme = 'conestack' +# html_theme = 'python_docs_theme' +# html_theme = 'readable' +# html_theme_path = [sphinx_readable_theme.get_html_theme_path()] +# html_theme = 'sphinx_pdj_theme' +# html_theme_path = [sphinx_pdj_theme.get_html_theme_path()] +# html_theme = 'karma_sphinx_theme' +# extensions.append("sphinx_wagtail_theme") +# html_theme = 'sphinx_wagtail_theme' +html_theme = 'sphinxdoc' # 'nature' +# html_theme = 'solar_theme' +# html_theme_path = [solar_theme.theme_path] +# html_theme = 'sphinx_nefertiti' + +# html_theme = "sphinx_rtd_theme" +# extensions = ['recommonmark', 'sphinx_markdown_tables'] +# html_theme = 'alabaster' +html_static_path = ['_static'] diff --git a/docs/index.rst b/docs/index.rst new file mode 100644 index 0000000..9852d12 --- /dev/null +++ b/docs/index.rst @@ -0,0 +1,28 @@ +.. PyEnsemble documentation master file, created by + sphinx-quickstart on Fri Jul 25 00:34:11 2025. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +PyFairness documentation +======================== + +.. Add your content using ``reStructuredText`` syntax. See the +.. `reStructuredText `_ +.. documentation for details. + + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + +Welcome to the PyFairness's documentation. This is an open-source library for **fairness** measures as well as **ensemble learning** methods, involving diversity measures and ensemble pruning methods. + + +SHORTCUTS +^^^^^^^^^^ +.. toctree:: + :maxdepth: 1 + + posts/quickstart + posts/configuration diff --git a/docs/make.bat b/docs/make.bat new file mode 100644 index 0000000..32bb245 --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=. +set BUILDDIR=_build + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.https://www.sphinx-doc.org/ + exit /b 1 +) + +if "%1" == "" goto help + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/docs/posts/configuration.rst b/docs/posts/configuration.rst new file mode 100644 index 0000000..1f361cc --- /dev/null +++ b/docs/posts/configuration.rst @@ -0,0 +1,217 @@ +.. configuration.rst + + +====================== +Set up the environment +====================== + +.. .. code-block: : console +.. :linenos: + + +We developed `ApproxBias `_, `FairML `_, and `PyFairness `_ with ``Python 3.8`` and released the code to help you reproduce our work. Note that the experimental parts must be run on the ``Ubuntu`` operating system due to FairGBM (one baseline method that we used for comparison). + + +Initialization +============== + +Configuration via Docker +------------------------- + +*(1) design an image using the* ``Dockerfile`` *file* + +.. code-block:: console + + $ # docker --version + $ # docker pull continuumio/miniconda3 + $ + $ cd ~/GitH*/FairML + $ # touch Dockerfile + $ # vim Dockerfile # i # Esc :wq + $ + $ docker build -t fairgbm . # + $ docker images # docker images -f dangling=true + $ docker run -it fairgbm /bin/bash + + +*(2) enter the image and install Miniconda3 (with root access)* + +.. code-block:: console + + $ cd home + $ wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh + $ + $ bash ./Miniconda3-latest-Linux-x86_64.sh + Do you accept the license terms? [yes|no] + >>> yes + Miniconda3 will now be installed into this location: + [/root/miniconda3] >>> /home/miniconda3 + You can undo this by running `conda init --reverse $SHELL`? [yes|no] + [no] >>> no + + +*(3) modify environment variables and then make it work* + +.. code-block:: console + + $ vim ~/.bashrc + export PATH=/home/miniconda3/bin:$PATH # added by Anaconda3 installer + $ + $ source ~/.bashrc + $ conda env list + + +*(4) create and delete an environment for reproduction (see :doc:`requirements ` )* + +*(5) exit from docker and delete the image* + +.. code-block:: console + + $ exit + $ docker ps -a # docker container ps|list + $ docker rm + $ docker image rm # docker rmi + + +Configuration on the server +---------------------------- + +.. code-block:: console + + $ ssh hendrix + $ srun -p gpu --pty --time=2-00:00:00 --gres gpu:0 bash + $ module load singularity + $ mkdir Singdocker + $ cd Singdocker + $ singularity build --sandbox miniconda3 docker://continuumio/miniconda3 + + $ singularity shell --writable miniconda3 # + Singularity> ls && conda env list + Singularity> conda create -n fmpar python=3.8 + Singularity> source activate fmpar + (fmpar) Singularity> pip list + (fmpar) Singularity> conda deactivate + Singularity> exit + + $ singularity build enfair.sif miniconda3/ # + $ # singularity instance list + $ # singularity cache list -v + $ # singularity cache clean + $ # singularity exec enfair.sif /bin/echo Hello World! + $ singularity shell enfair.sif # singularity run *.sif + + $ rm enfair.sif + $ yes | rm -r miniconda3 + [qgl539@hendrixgpu04fl Singdocker]$ exit + [qgl539@hendrixgate03fl ~]$ exit + logout + + +Remote connection via SSH +---------------------------------- + +.. Permission, access, SSH into a remote server +.. https://docs.github.com/en/authentication/troubleshooting-ssh/error-permission-denied-publickey +.. https://www.digitalocean.com/community/tutorials/how-to-use-ssh-to-connect-to-a-remote-server + +.. code-block:: console + + $ cd ~/.ssh && ls + $ + $ ssh-keygen -t ed25519 -C "yjbian92@gmail.com" + + Enter file in which to save the key (/root/.ssh/id_ed25519): + Enter passphrase (empty for no passphrase): + Enter same passphrase again: + + $ cat id_ed25519.pub + $ + $ vim ~/.ssh/config + + Host nscc + HostName aspire2a.nus.edu.sg + User yjbian + Port 22 # 8080 + IdentityFile ~/.ssh/id_rsa + + Host hendrix + HostName hendrixgate # 03fl + User qgl539 + StrictHostKeyChecking no + CheckHostIP no + UserKnownHostsFile=/dev/null + + $ # cat known_hosts + + + +Implementation +============== + +Executing via Docker +------------------------- + +.. code-block:: console + + $ docker ps -a + $ docker cp /home/yijun/ :/home/ # copy to docker + + $ docker restart + $ docker exec -it /bin/bash + (base) # cd home/FairML # cd root/FairML + (base) # conda activate fmpar + (fmpar) # .... + (fmpar) # conda deactivate + (base) # exit + + $ docker cp :/home/ /home/yijun/ # copy from docker + $ docker stop + + +Executing on the server +------------------------- + +.. code-block:: console + + $ rsync -r FairML hendrix:/home/qgl539/GitH/ # copy to server + $ ssh hendrix + $ screen # screen -r + $ srun -p gpu --pty --time=23:30:00 --gres gpu:0 bash + $ module load singularity + $ cd Singdocker + $ singularity run enfair.sif + + Singularity> cd ~/GitH/FairML + Singularity> source activate ensem + (ensem) Singularity> # executing .... + (ensem) Singularity> conda deactivate && cd .. + (base) Singularity> tar -czvf tmp.tar.gz FairML # compression + (base) Singularity> yes | rm -r FairML + + (base) Singularity> exit + [qgl539@hendrixgpu04fl Singdocker]$ exit + [qgl539@hendrixgate01fl ~]$ exit # exit screen + [qgl539@hendrixgate01fl ~]$ logout # Connection to hendrixgate closed. + $ rsync -r hendrix:/home/qgl539/tmp.tar.gz . # copy from server + $ tar -xzvf tmp.tar.gz # decompression + $ rm tmp.tar.gz + + +Documentation +============= + +.. code-block:: console + + $ cd ~/GitH*/PyFairness + $ mkdir docs && cd docs + $ sphinx-quickstart + + Welcome to the Sphinx 8.2.3 quickstart utility. + > Separate source and build directories (y/n) [n]: n + > Project name: PyEnsemble + > Author name(s): eustomadew + > Project release []: 0.1.0 + > Project language [en]: en + + $ make html + diff --git a/docs/posts/quickstart.rst b/docs/posts/quickstart.rst new file mode 100644 index 0000000..42078ab --- /dev/null +++ b/docs/posts/quickstart.rst @@ -0,0 +1,50 @@ +.. quickstart.rst + + +================ +Getting started +================ + + +Requirements +------------- + +We may test the code on different environments, and in that case, please choose the corresponding Python packages. + +.. code-block:: console + + $ # Install anaconda/miniconda if you didn't + $ + $ # To create a virtual environment + $ conda create -n ensem python=3.8 + $ conda env list + $ source activate ensem + $ + $ # To install packages + $ pip list && cd ~/FairML + $ pip install -U pip + $ pip install -r requirements.txt + $ python -m pytest + $ + $ # To delete the virtual environment + $ conda deactivate && cd .. + $ yes | rm -r FairML + $ conda remove -n ensem --all + + +If you would like to install `PyFairness `_, please do the following. + +.. code-block:: console + + $ # Two ways to install (& uninstall) PyFairness + $ git clone git@github.com:eustomaqua/PyFairness.git + $ + $ pip install -r PyFairness/reqs_py311.txt + $ pip install -e ./PyFairness + $ # pip uninstall pyfair + $ + $ mv ./PyFairness/pyfair ./ # cp -r ./ + $ yes | rm -r PyFairness + $ # rm -r pyfair + + diff --git a/docs/reqs.txt b/docs/reqs.txt new file mode 100644 index 0000000..057c467 --- /dev/null +++ b/docs/reqs.txt @@ -0,0 +1,14 @@ +sphinx +sphinx-rtd-theme +recommonmark +sphinx_markdown_tables +solar-theme +sphinx-conestack-theme +sphinx-nefertiti +sphinx-pdj-theme +python-docs-theme +sphinx-readable-theme +sphinx-wagtail-theme + +mkdocs +mkdocs-material diff --git a/pyfair/datasets.py b/pyfair/datasets.py new file mode 100644 index 0000000..5e6b9f1 --- /dev/null +++ b/pyfair/datasets.py @@ -0,0 +1,573 @@ +# coding: utf-8 + + +import os +import os.path as osp +# import numpy as np +import pandas as pd +from pyfair.facil.utils_saver import elegant_print + + +__all__ = [ + 'Ricci', 'German', 'Adult', 'PropublicaRecidivism', + 'PropublicaViolentRecidivism', 'DATASETS', + 'DATASET_NAMES', # 'prepare_data', + 'process_above', 'process_below', 'preprocess', + + 'RAW_EXPT_DIR', 'AVAILABLE_FAIR_DATASET', + 'make_sensitive_attrs_binary', 'make_class_attr_num', +] + + +# =========================== +# utils + + +def local_root_path(): + home = os.getcwd() + # Ubuntu : '/media/sf_GitD/FairML' + # Windows: 'D:\\GitH\\FairML' + # Mac : '~/GitH/FairML' + return home + + +def local_data_path(): + home = local_root_path() + path = osp.join(home, 'data') + # path = osp.join(home, 'pyfair', 'data') + return path + + +PACKAGE_DIR = local_root_path() +RAW_DATA_DIR = local_data_path() +RAW_EXPT_DIR = os.path.join(PACKAGE_DIR, 'findings') + + +# =========================== +# data + + +class Data: + def __init__(self): + pass + + @property + def dataset_name(self): + return self._dataset_name + + @dataset_name.setter + def dataset_name(self, value): + self._dataset_name = value + + @property + def label_name(self): + # or self._class_attr + return self._label_name + + @label_name.setter + def label_name(self, value): + self._label_name = value + + @property + def positive_label(self): + return self._positive_label + + @positive_label.setter + def positive_label(self, value): + self._positive_label = value + + @property + def sensitive_attrs(self): + return self._sensitive_attrs + + @sensitive_attrs.setter + def sensitive_attrs(self, value): + self._sensitive_attrs = value + + @property + def privileged_vals(self): + return self._privileged_vals + + @privileged_vals.setter + def privileged_vals(self, value): + self._privileged_vals = value + + def get_positive_class_val(self, tag): + if tag == 'numerical-binsensitive': + return 1 + return self._positive_label + + def get_sensitive_attrs_with_joint(self): + sens_attrs = self._sensitive_attrs + if len(sens_attrs) <= 1: + return sens_attrs + return sens_attrs + ['-'.join(sens_attrs)] + + def get_privileged_group(self, tag): + if tag == 'numerical-binsensitive': + return [1 for x in self._sensitive_attrs] + return self._privileged_vals # list + + def get_privileged_group_with_joint(self, tag): + priv_class_names = self.get_privileged_group(tag) + if len(priv_class_names) <= 1: + return priv_class_names + # in this way, at most two sensitive attributes + return priv_class_names + [ + '-'.join(str(v) for v in priv_class_names)] + + @property + def categorical_feats(self): + return self._categorical_feats + + @categorical_feats.setter + def categorical_feats(self, value): + self._categorical_feats = value + + @property + def feats_to_keep(self): + return self._feats_to_keep + + @feats_to_keep.setter + def feats_to_keep(self, value): + self._feats_to_keep = value + + @property + def missing_val_indicators(self): + return self._missing_val_indicators + + @missing_val_indicators.setter + def missing_val_indicators(self, value): + self._missing_val_indicators = value + + @property + def raw_filename(self): + return "baseline_{}.csv".format(self._dataset_name) + + def load_raw_dataset(self): + data_path = osp.join(RAW_DATA_DIR, self.raw_filename) + data_frame = pd.read_csv( + data_path, + # error_bad_lines=False, + on_bad_lines='warn', # 'skip' + na_values=self._missing_val_indicators, + encoding='ISO-8859-1') + # data_frame = self.data_specific_processing(data_frame) + return data_frame + + def data_specific_processing(self, data_frame): + return data_frame + + def handle_missing_data(self, data_frame): + return data_frame + + def get_class_balance_statistics(self, data_frame): + # if data_frame is None: + # data_frame = self.load_raw_dataset() + r = data_frame.groupby(self._label_name).size() + return r + + # def get_sensitive_attr_balance_stats(self, data_frame=None): + def get_sens_attr_balance_stats(self, data_frame): + # if data_frame is None: + # data_frame = self.load_raw_dataset() + return [data_frame.groupby( + a).size() for a in self._sensitive_attrs] + + def find_where_belongs(self, data_frame): + # if data_frame is None: + # data_frame = self.load_raw_dataset() + sens_attrs = self._sensitive_attrs + priv_value = self._privileged_vals + return [ + # (data_frame[sa] == pv).tolist() + (data_frame[sa] == pv).to_numpy() + for sa, pv in zip(sens_attrs, priv_value)] + + +# =========================== +# dataset(s) + + +class Adult(Data): + def __init__(self): + super().__init__() + + self.dataset_name = 'adult' + self.label_name = 'income-per-year' + self.positive_label = '>50K' + self.sensitive_attrs = ['race', 'sex'] + self.privileged_vals = ['White', 'Male'] + + self.feats_to_keep = [ + 'age', 'workclass', 'education', 'education-num', + 'marital-status', 'occupation', 'relationship', + 'race', 'sex', 'capital-gain', 'capital-loss', + 'hours-per-week', 'native-country', 'income-per-year' + ] + + self.categorical_feats = [ + 'workclass', 'education', 'marital-status', 'occupation', + 'relationship', 'native-country' + ] + + self.missing_val_indicators = ['?'] + + def handle_missing_data(self, data_frame): + return data_frame + + +class German(Data): + def __init__(self): + super().__init__() + + self.dataset_name = 'german' + self.label_name = 'credit' + self.positive_label = 1 + self.sensitive_attrs = ['sex', 'age'] + self.privileged_vals = ['male', 'adult'] + + self.feats_to_keep = [ + 'status', 'month', 'credit_history', 'purpose', + 'credit_amount', + 'savings', 'employment', 'investment_as_income_percentage', + 'personal_status', 'other_debtors', 'residence_since', + 'property', 'age', 'installment_plans', 'housing', + 'number_of_credits', 'skill_level', 'people_liable_for', + 'telephone', 'foreign_worker', 'credit' + ] + + self.categorical_feats = [ + 'status', 'credit_history', 'purpose', 'savings', + 'employment', + 'other_debtors', 'property', 'installment_plans', + 'housing', + 'skill_level', 'telephone', 'foreign_worker' + ] + + self.missing_val_indicators = [] + + def data_specific_processing(self, data_frame): + # adding a derived sex attribute based on personal_status + sexdict = {'A91': 'male', 'A93': 'male', 'A94': 'male', + 'A92': 'female', 'A95': 'female'} + + data_frame = data_frame.assign(personal_status=data_frame[ + 'personal_status'].replace(to_replace=sexdict)) + data_frame = data_frame.rename(columns={ + 'personal_status': 'sex'}) + + # adding a derived binary age attribute (youth vs. adult) such that + # >= 25 is adult + # this is based on an analysis by Kamiran and Calders + # http://ieeexplore.ieee.org/document/4909197/ + # showing that this division creates the most discriminatory + # possibilities. + + old = data_frame['age'] >= 25 + data_frame.loc[old, 'age'] = 'adult' + young = data_frame['age'] != 'adult' + data_frame.loc[young, 'age'] = 'youth' + + return data_frame + + +def passing_grade(row): + """ A passing grade in the Ricci data is defined as any grade above + a 70 in the combined oral and written score. (See Miao 2010.) + """ + if row['Combine'] >= 70.0: + return 1 + return 0 + + +class Ricci(Data): + def __init__(self): + super().__init__() + + self.dataset_name = 'ricci' + # Class attribute will not be created until + # data_specific_processing is run. + self.label_name = 'Class' + self.positive_label = 1 + self.sensitive_attrs = ['Race'] + self.privileged_vals = ['W'] + + self.feats_to_keep = [ + 'Position', 'Oral', 'Written', 'Race', 'Combine'] + self.categorical_feats = ['Position'] + self.missing_val_indicators = [] + + def data_specific_processing(self, data_frame): + data_frame['Class'] = data_frame.apply(passing_grade, axis=1) + return data_frame + + +class PropublicaRecidivism(Data): + def __init__(self): + super().__init__() + + self.dataset_name = 'propublica-recidivism' + self.label_name = 'two_year_recid' + self.positive_label = 1 + self.sensitive_attrs = ['sex', 'race'] + self.privileged_vals = ['Male', 'Caucasian'] + + self.feats_to_keep = [ + "sex", "age", "age_cat", "race", "juv_fel_count", + "juv_misd_count", "juv_other_count", "priors_count", + "c_charge_degree", "c_charge_desc", "decile_score", + "score_text", "two_year_recid", "days_b_screening_arrest", + "is_recid" + ] + + self.categorical_feats = [ + 'age_cat', 'c_charge_degree', 'c_charge_desc'] + # days_b_screening_arrest, score_text, decile_score, and + # is_recid will be dropped after data specific processing + # is done + + self.missing_val_indicators = [] + + def data_specific_processing(self, data_frame): + # Filter as done here: + # https://github.com/propublica/compas-analysis/blob/master/Compas%20Analysis.ipynb + + data_frame = data_frame[ + (data_frame.days_b_screening_arrest <= 30) & + (data_frame.days_b_screening_arrest >= -30) & + (data_frame.is_recid != -1) & + (data_frame.c_charge_degree != '0') & + (data_frame.score_text != 'N/A')] + + data_frame = data_frame.drop(columns=[ + 'days_b_screening_arrest', 'is_recid', 'decile_score', + 'score_text']) + + return data_frame + + +class PropublicaViolentRecidivism(Data): + def __init__(self): + super().__init__() + + self.dataset_name = 'propublica-violent-recidivism' + self.label_name = 'two_year_recid' + self.positive_label = 1 + self.sensitive_attrs = ['sex', 'race'] + self.privileged_vals = ['Male', 'Caucasian'] + + self.feats_to_keep = [ + "sex", "age", "age_cat", "race", "juv_fel_count", + "juv_misd_count", "juv_other_count", "priors_count", + "c_charge_degree", "c_charge_desc", "decile_score", + "score_text", "two_year_recid", "days_b_screening_arrest", + "is_recid" + ] + + self.categorical_feats = [ + 'age_cat', 'c_charge_degree', 'c_charge_desc'] + # days_b_screening_arrest, score_text, decile_score, and is_recid + # will be dropped after data specific processing is done + + self.missing_val_indicators = [] + + def data_specific_processing(self, data_frame): + # Filter as done here: + # https://github.com/propublica/compas-analysis/blob/master/Compas%20Analysis.ipynb + # + # The filter for violent recidivism as done above filters out + # v_score_text instead of score_text, but since we want to include + # the score_text before the violent recidivism, we think the right + # thing to do here is to filter score_text. + + data_frame = data_frame[ + (data_frame.days_b_screening_arrest <= 30) & + (data_frame.days_b_screening_arrest >= -30) & + (data_frame.is_recid != -1) & + (data_frame.c_charge_degree != '0') & + (data_frame.score_text != 'N/A')] + + data_frame = data_frame.drop(columns=[ + 'days_b_screening_arrest', 'is_recid', 'decile_score', + 'score_text']) + + # '' ' + # # >>> np.all(df['two_year_recid.1'] == df.two_year_recid) + # # True + # data_frame = data_frame.drop(columns=['two_year_recid.1']) + # '' ' + # # BUG. Cannot delete this column. + + return data_frame + + +# =========================== +# preprocess + + +def make_sensitive_attrs_binary(dataframe, + sensitive_attrs, privileged_vals): + newframe = dataframe.copy() + for attr, privileged in zip(sensitive_attrs, privileged_vals): + # replace privileged vals with 1 + newframe[attr] = newframe[attr].replace({privileged: 1}) + # replace all other vals with 0 + newframe[attr] = newframe[attr].replace("[^1]", 0, regex=True) + return newframe + + +def make_class_attr_num(dataframe, class_attr, positive_val): + # don't change the class attribute unless its a string (pandas + # type: object) + if dataframe[class_attr].dtype == 'object': + dataframe[class_attr] = dataframe[ + class_attr].replace({positive_val: 1}) + dataframe[class_attr] = dataframe[ + class_attr].replace("[^1]", 0, regex=True) + return dataframe + + +def process_above(dataset, data_frame, logger): + # Remove any columns not included in the list of features to keep. + smaller_data = data_frame[dataset.feats_to_keep] + + # Handle missing data. + missing_processed = dataset.handle_missing_data(smaller_data) + + # Remove any rows that have missing data. + missing_data_removed = missing_processed.dropna() + missing_data_count = missing_processed.shape[ + 0] - missing_data_removed.shape[0] + if missing_data_count > 0: + elegant_print( + "Missing Data: " + str(missing_data_count) + + " rows removed from dataset " + dataset.dataset_name, logger) + + # Do any data specific processing. + processed_data = dataset.data_specific_processing( + missing_data_removed) + + elegant_print("\n-------------------", logger) + elegant_print("Balance statistics:", logger) + elegant_print("\nClass:", logger) + elegant_print( + dataset.get_class_balance_statistics(processed_data), logger) + elegant_print("\nSensitive Attribute:", logger) + for r in dataset.get_sens_attr_balance_stats(processed_data): + elegant_print(r, logger) + elegant_print("\n", logger) + elegant_print("\n", logger) + + # Handle multiple sensitive attributes by creating a new attribute + # that's the joint distribution of all of those attributes. + # For example, if a dataset has both 'Race' and 'Gender', the + # combined feature 'Race-Gender' is created that has attributes, + # e.g., 'White-Woman'. + sensitive_attrs = dataset.sensitive_attrs + if len(sensitive_attrs) > 1: + new_attr_name = '-'.join(sensitive_attrs) + # TODO: the below may fail for non-string attributes + processed_data = processed_data.assign( + temp_name=processed_data[ + sensitive_attrs].apply('-'.join, axis=1)) + processed_data = processed_data.rename( + columns={'temp_name': new_attr_name}) + # dataset.append_sensitive_attribute(new_attr_name) + # privileged_joint_vals = '-'.join(dataset.get_privileged_class_names("")) + # dataset.get_privileged_class_names("").append(privileged_joint_vals) + + return processed_data + + +def process_below(dataset, processed_data): + # Create a one-hot encoding of the categorical variables. + processed_numerical = pd.get_dummies( + processed_data, + columns=dataset.categorical_feats) + + # Create a version of the numerical data for which the sensitive + # attribute is binary. + sensitive_attrs = dataset.get_sensitive_attrs_with_joint() + privileged_vals = dataset.get_privileged_group_with_joint("") + processed_binsensitive = make_sensitive_attrs_binary( + processed_numerical, sensitive_attrs, privileged_vals) + + # Create a version of the categorical data for which the sensitive + # attributes is binary. + processed_categorical_binsensitive = make_sensitive_attrs_binary( + processed_data, sensitive_attrs, + dataset.get_privileged_group("")) # FIXME + # Make the class attribute numerical if it wasn't already (just + # for the bin sensitive version). + class_attr = dataset.label_name + pos_val = dataset.positive_label # FIXME + + processed_binsensitive = make_class_attr_num( + processed_binsensitive, class_attr, pos_val) + + return processed_numerical, processed_binsensitive, processed_categorical_binsensitive + + +def preprocess(dataset, data_frame, logger=None): + """ The preprocess function takes a pandas data frame and returns + two modified data frames: + 1) all the data as given with any features that should not be used + for training or fairness analysis removed. + 2) only the numerical and ordered categorical data, sensitive + attributes, and class attribute. + Categorical attributes are one-hot encoded. + 3) the numerical data (#2) but with a binary (numerical) sensitive + attribute + """ + + processed_data = process_above(dataset, data_frame, logger) + + processed_numerical, processed_binsensitive, \ + processed_categorical_binsensitive = process_below( + dataset, processed_data) + + return { + "original": processed_data, + "numerical": processed_numerical, + "numerical-binsensitive": processed_binsensitive, + "categorical-binsensitive": processed_categorical_binsensitive} + + +DATASETS = [ + # Real datasets: + Ricci(), + Adult(), # Income + German(), # Credit + PropublicaRecidivism(), + PropublicaViolentRecidivism(), +] + +DATASET_NAMES = [ + 'ricci', 'adult', 'german', + 'propublica-recidivism', + 'propublica-violent-recidivism', +] + +AVAILABLE_FAIR_DATASET = [ + # 'ricci', 'german', 'adult', 'ppc', 'ppvc' + 'ricci', 'german', 'adult', 'ppr', 'ppvr' +] + + +def prepare_data(dataset_name, logger=None): + for ds in DATASETS: + if ds.dataset_name != dataset_name: + continue + + elegant_print( + "--- Processing dataset: %s ---" % ds.dataset_name, logger) + data_frame = ds.load_raw_dataset() + d = preprocess(ds, data_frame, logger) + + return d + raise ValueError("No dataset named `{}`.".format(dataset_name)) + + +# =========================== +# diff --git a/pyfair/datasets_test_excl.py b/pyfair/datasets_test_excl.py new file mode 100644 index 0000000..3240ffb --- /dev/null +++ b/pyfair/datasets_test_excl.py @@ -0,0 +1,114 @@ +# coding: utf-8 + +# from copy import deepcopy +# import pdb + + +def excl_test_datasets(): + from pyfair.datasets import ( + Ricci, German, Adult, PropublicaRecidivism, + PropublicaViolentRecidivism, preprocess) + + dt = Ricci() + dt = German() + dt = Adult() + dt = PropublicaRecidivism() + dt = PropublicaViolentRecidivism() + + df = dt.load_raw_dataset() + ans = preprocess(dt, df) + assert isinstance(ans, dict) + # pdb.set_trace() + return + + +def test_preprocessing(): + # from fairml.preprocessing import ( + # adversarial)#,transform_X_and_y,transform_unpriv_tag) + from pyfair.datasets import preprocess, DATASETS + from pyfair.preprocessing_dr import ( + adversarial, transform_X_and_y, transform_unpriv_tag) + from pyfair.preprocessing_hfm import ( + binarized_data_set, transform_X_A_and_y, + # transform_unpriv_tag_prime, renewed_prep_and_adversarial, + # renewed_transform_X_A_and_y, check_marginalised_indices) + renewed_prep_and_adversarial, renewed_transform_X_A_and_y, + check_marginalised_indices) + + for dt in DATASETS[1: 2]: + df = dt.load_raw_dataset() + ans = preprocess(dt, df) + adv = adversarial(dt, df, ratio=.95) + + for k in [ + 'original', 'numerical', 'numerical-binsensitive', + 'categorical-binsensitive']: + assert ans[k].shape == adv[k].shape + # pdb.set_trace() + + proc_dt = ans['numerical-binsensitive'] # processed_dat + dist_dt = adv['numerical-binsensitive'] # disturbed_dat + X, y = transform_X_and_y(dt, proc_dt) + Xp, _ = transform_X_and_y(dt, dist_dt) + non_sa, _ = transform_unpriv_tag(dt, df) + assert X.shape[0] == y.shape[0] == Xp.shape[0] + + pos_label = dt.get_positive_class_val( + 'numerical-binsensitive') # '') + priv_nam = dt.get_sensitive_attrs_with_joint()[:2] + priv_val = dt.get_privileged_group('numerical-binsensitive') + # priv_val = dt.get_privileged_group_with_joint( + # 'numerical-binsensitive')[:2] + assert len(non_sa) == len(priv_nam) == len(priv_val) + assert pos_label == 1 + + proc_dt_bin = binarized_data_set(proc_dt) + dist_dt_bin = binarized_data_set(dist_dt) + X, A, y, new_attr = transform_X_A_and_y(dt, proc_dt_bin) + _, Ap, _, _ = transform_X_A_and_y(dt, dist_dt_bin) + # nsa_bin, idx_jt = transform_unpriv_tag_prime(dt, df, 'both') + nsa_bin, idx_jt = transform_unpriv_tag(dt, df, 'both') + assert len(A) == len(Ap) == len(X) == len(y) + assert (not new_attr) or isinstance(new_attr, str) + assert (non_sa[0] == nsa_bin[0]).all() # idx_non_sa#1 + if idx_jt: # or if new_attr: + assert (non_sa[1] == nsa_bin[1]).all() # idx_non_sa#2 + + re_dft = renewed_prep_and_adversarial(dt, df, ratio=.97) + tmp = re_dft[0]['processed_data'] + X1, A1, y1, new_attr = renewed_transform_X_A_and_y( + dt, tmp, with_joint=False) # renew_dtf[1], + X2, A2, y2, _ = renewed_transform_X_A_and_y( + dt, tmp, with_joint=True) + X3, A3, y3, _ = transform_X_A_and_y(dt, tmp) + assert new_attr not in X1.columns.tolist() + assert X1.shape[1] - 1 == X2.shape[1] == X3.shape[1] + assert A1.shape[1] + 1 == A2.shape[1] == A3.shape[1] + assert (X2 == X3).all().all() + assert (A2 == A3).all().all() + assert id(y1) != id(y2) != id(y3) + assert (y1 == y2).all() and (y2 == y3).all() + + tmp = re_dft[1]['numerical-binsensitive'] + assert new_attr not in tmp.columns.tolist() + X1, A1, _, _ = renewed_transform_X_A_and_y(dt, tmp, False) + # X2, A2, _, _ = renewed_transform_X_A_and_y(dt, tmp, True) + # X3, A3, _, _ = transform_X_A_and_y(dt, tmp) + # tmp = re_dft[3]['numerical-binsensitive'] + tmp = re_dft[2]['numerical-multisen'] + assert new_attr not in tmp.columns.tolist() + X2, A2, _, _ = renewed_transform_X_A_and_y(dt, tmp, False) + assert (X1 == X2).all().all() + assert X1.shape == X2.shape + assert A1.shape == A2.shape + + # tmp = re_dft[0]['perturbation_tim_elapsed'] + mrg_grp = re_dft[0]['marginalised_groups'] + sen_att_indices = check_marginalised_indices( + df, priv_nam, # dt.sensitive_attrs, + dt.get_privileged_group(''), mrg_grp) + assert len(sen_att_indices) == len(mrg_grp) == 2 + # pdb.set_trace() + assert len(sen_att_indices[0]) == len(mrg_grp[0]) + 1 + assert len(sen_att_indices[1]) == len(mrg_grp[1]) + 1 + return diff --git a/pyfair/dr_hfm/discriminative_risk.py b/pyfair/dr_hfm/discriminative_risk.py new file mode 100644 index 0000000..8a977c0 --- /dev/null +++ b/pyfair/dr_hfm/discriminative_risk.py @@ -0,0 +1,475 @@ +# coding: utf-8 +# Author: Yijun +# +# TARGET: +# Oracle bounds concerning fairness for weighted voting + + +import numpy as np +# import numba +# import copy + + +# ===================================== +# Oracle bounds for fairness +# ===================================== + +# For one single individual or the ensemble classifier, +# +# 0-1 loss: +# \begin{align} +# \ell(h(X),Y) = \mathbb{I}(h(X) \neq Y) +# \hat{L}(h,S) = 1/n \sum_{i=1}^n \ell(h(X_i),Y_i) +# L(h) = \mathbb{E}_{(X,Y)\sim D}[\ell(h(X),Y)] +# \end{align} +# +# fairness quality: +# \begin{align} +# ell l_{loss}(f,bmx) = \mathbb{I}( +# f(xneg,xpos) \neq y ) +# = \mathbb{I}(f(bmx) \neq y) +# +# ell l_{fair}(f,bmx) = \mathbb{I}( +# f(xneg,xpos) \neq f(xneg,xqtb) ) +# +# hat L_{loss}(f,S) +# = \frac{1}{n} \sum_{1<=i<=n} ell l_{loss}(f,bmx_i) +# hat L_{fair}(f,S) +# = \frac{1}{n} \sum_{1<=i<=n} ell l_{fair}(f,bmx_i) +# +# cal L_{loss}(f) +# = \mathbb{E}_{(bmx,y)\sim\mathcal{D}}[ ell l_{loss}(f,bmx)] +# cal L_{fair}(f) +# = \mathbb{E}_{(bmx,y)\sim\mathcal{D}}[ ell l_{fair}(f,bmx)] +# \end{align} + + +def ell_fair_x(fxp, fxq): + # both are: list, shape (nb_inst,) + # function is symmetrical + # value belongs to {0,1}, set + return np.not_equal(fxp, fxq).tolist() + + +def ell_loss_x(fxp, y): + # both are: list, shape (nb_inst,) + return np.not_equal(fxp, y).tolist() + + +def hat_L_fair(fxp, fxq): + # both: list, shape (nb_inst,) + # function is symmetrical + # value belongs to [0,1], interval + Lfair = ell_fair_x(fxp, fxq) + return np.mean(Lfair).tolist() # float + + +def hat_L_loss(fxp, y): + # both: list, shape (nb_inst,) + Lloss = ell_loss_x(fxp, y) + return np.mean(Lloss).tolist() # float + + +# For two different individual members, +# +# expected tandem loss: +# \begin{equation} +# L(h,h') = \mathbb{E}_D[ +# \mathbb{I}( +# h(X) \neq Y \land h'(X) \neq Y +# )] +# \end{equation} +# +# tandem fairness quality: +# \begin{align} +# ell l_{loss}(f,f',bmx) = \mathbb{I}( +# f(xneg,xpos) \neq y \land +# f'(xneg,xpos) \neq y ) +# = \mathbb{I}(f(bmx) \neq y \land f'(bmx) \neq y) +# +# ell l_{fair}(f,f',bmx) = \mathbb{I}( +# f(xneg,xpos) \neq f(xneg,xqtb) \land +# f'(xneg,xpos) \neq f'(xneg,xqtb) ) +# +# hat L_{loss}(f,f',S) +# = 1/n \sum_{1<=i<=n} ell l_{loss}(f,f',bmx_i) +# hat L_{fair}(f,f',S) +# = 1/n \sum_{1<=i<=n} ell l_{fair}(f,f',bmx_i) +# +# cal L_{loss}(f,f') +# = \mathbb{E}_{(bmx,y)\sim\mathcal{D}}[ell l_{loss}(f,f',bmx)] +# cal L_{fair}(f,f') +# = \mathbb{E}_{(bmx,y)\sim\mathcal{D}}[ell l_{fair}(f,f',bmx)] +# \end{align} + + +def tandem_fair(fa_p, fa_q, fb_p, fb_q): + # whole: list, shape (nb_inst,) + ha = np.not_equal(fa_p, fa_q) + hb = np.not_equal(fb_p, fb_q) + tmp = np.logical_and(ha, hb) + return np.mean(tmp).tolist() # float + + +def tandem_loss(fa, fb, y): + # whole: list, shape (nb_inst,) + ha = np.not_equal(fa, y) + hb = np.not_equal(fb, y) + tmp = np.logical_and(ha, hb) + return np.mean(tmp).tolist() # float + + +# Objective +# L(f,f) = L(f) = lam*L_fair+(1-lam)*L_loss + + +def hat_L_objt(fxp, fxq, y, lam): + l_fair = hat_L_fair(fxp, fxq) + l_acc_p = hat_L_loss(fxp, y) + return lam * l_fair + (1. - lam) * l_acc_p + + +def tandem_objt(fa, fa_q, fb, fb_q, y, lam): + l_fair = tandem_fair(fa, fa_q, fb, fb_q) + l_acc_p = hat_L_loss(fa, y) + l_acc_q = hat_L_loss(fb, y) + # l_acc = (1. - lam) * (l_acc_p + l_acc_q) / 2. + # return lam * l_fair + l_acc + l_acc = (l_acc_p + l_acc_q) / 2. + return lam * l_fair + (1. - lam) * l_acc + + +def cal_L_obj_v1(yt, yq, y, wgt, lam=.5): + L_fair = Erho_sup_L_fair(yt, yq, wgt) + L_acc = E_rho_L_loss_f(yt, y, wgt) + return lam * L_fair + (1. - lam) * L_acc + + +def cal_L_obj_v2(yt, yq, y, wgt, lam=.5): + nb_cls = len(wgt) + + ans = [] + for i in range(nb_cls): + tmp = [tandem_objt(yt[i], yq[i], + yt[j], yq[j], + y, lam) for j in range(nb_cls)] + ans.append(tmp) + + res = np.sum(np.multiply(ans, wgt), axis=1) + res = np.sum(np.multiply(res, wgt), axis=0) + return res.tolist() + + +# ===================================== +# Theorems + + +def L_fair_MV_rho(MVrho, MVpmo): + return hat_L_fair(MVrho, MVpmo) + + +def L_loss_MV_rho(MVrho, y): + return hat_L_loss(MVrho, y) + + +# ------------------------------------- +# Theorem 3.1. +# First-order oracle bound +# ------------------------------------- +# $ L(MV_\rho) \leqslant 2Exp_\rho[ L(h)] $ +# +# \begin{align} +# cal L_{loss}(MV_\rho) <= 2Exp_\rho[cal L_{loss}(f)] +# cal L_{fair}(MV_\rho) <= 2Exp_\rho[cal L_{fair}(f)] +# \end{align} + + +def E_rho_L_fair_f(yt, yq, wgt): + E_rho = [hat_L_fair( + p, q) for p, q in zip(yt, yq) + ] # list, shape (nb_cls,) + tmp = np.sum(np.multiply(wgt, E_rho)) + return tmp.tolist() # float + + +def E_rho_L_loss_f(yt, y, wgt): + E_rho = [hat_L_loss(p, y) for p in yt] + # return np.mean(E_rho).tolist() + tmp = np.sum(np.multiply(wgt, E_rho)) + return tmp.tolist() # float + + +# ------------------------------------- +# Theorem 3.3. +# Second-order oracle bound +# ------------------------------------- +# $ L(MV_\rho) \leqslant 4Exp_{\rho^2}[ L(h,h')] $ +# +# \begin{align} +# L_{loss}(MV_\rho) <= 4Exp_{\rho^2}[ L_{loss}( f,f')] +# L_{fair}(MV_\rho) <= 4Exp_{\rho^2}[ L_{fair}( f,f')] +# \end{align} + + +def Erho_sup_L_fair(yt, yq, wgt, nb_cls=None): + if not nb_cls: + nb_cls = len(wgt) # number of weights + + L_f_fp = [] + for p in range(nb_cls): + tmp = [tandem_fair( + yt[p], yq[p], + yt[i], yq[i]) for i in range(nb_cls)] + L_f_fp.append(tmp) + # L_f_fp: list, shape (nb_cls, nb_cls) + + E_rho2 = np.sum(np.multiply(L_f_fp, wgt), axis=1) + E_rho2 = np.sum(np.multiply(E_rho2, wgt), axis=0) + # E_rho2: list, shape (nb_cls,) + # E_rho2: dtype('float64'), shape () + + return E_rho2.tolist() # float + + +def Erho_sup_L_loss(yt, y, wgt, nb_cls=None): + if not nb_cls: + nb_cls = len(wgt) # length of weights + + L_f_fp = [] + for p in range(nb_cls): + tmp = [tandem_loss( + yt[p], + yt[i], y) for i in range(nb_cls)] + L_f_fp.append(tmp) + # L_f_fp: list, shape (nb_cls, nb_cls) + + E_rho2 = np.sum(np.multiply(L_f_fp, wgt), axis=1) + E_rho2 = np.sum(np.multiply(E_rho2, wgt), axis=0) + return E_rho2.tolist() # float + + +# ------------------------------------- +# Lemma 3.2. +# ------------------------------------- +# $ E_D[E_\rho[ +# \mathbb{I}(h(X) \neq y) +# ]^2] = E_{\rho^2}[ L(h,h')] $ +# +# \begin{align} +# E_\mathcal{D}[ E_\rho[ +# \mathbb{I}( f(bmx) \neq y) +# ]^2] = E_{\rho^2}[ L_{loss}( f,f')] +# +# E_\mathcal{D}[ E_\rho[ +# \mathbb{I}( f(xneg,xpos) \neq f(xneg,xqtb)) +# ]^2] = E_{\rho^2}[ L_{fair}( f,f')] +# \end{align} + + +def ED_Erho_I_fair(yt, yq, wgt): + wt = np.array([wgt]).T + + I_f = np.not_equal(yt, yq) + # I_f : ndarray, shape (nb_cls, nb_inst) + + Erho = np.sum(wt * I_f, axis=0) + # Erho: ndarray, shape (nb_inst,) + + ED = np.mean(Erho * Erho) + # ED : dtype('float64'), shape () + return ED.tolist() # float + + +def ED_Erho_I_loss(yt, y, wgt): + wt = np.array([wgt]).T + I_f = np.not_equal(yt, y) + Erho = np.sum(wt * I_f, axis=0) + ED = np.mean(Erho * Erho) + return ED.tolist() # float + + +# ------------------------------------- +# Theorem 3.4. +# C-tandem oracle bound +# ------------------------------------- +# If $E_\rho[ L(h)] < 1/2$, then +# \begin{equation} +# L(MV_\rho) \leq +# \frac{ +# E_{\rho^2}[ L(h,h')] - E_\rho[ L(h)]^2 +# }{ +# E_{\rho^2}[ L(h,h')] - E_\rho[ L(h)] +1/4 +# } +# \end{equation} +# + +# If $Exp_\rho[ L_{loss}] <1/2$, then +# \begin{equation} +# L_{loss}(MV_\rho) \leqslant \frac{ +# Exp_{\rho^2}[ L_{loss}(f,f')] +# - Exp_\rho[ L_{loss}(f)]^2 +# }{ +# Exp_{\rho^2}[ L_{loss}(f,f')] +# - Exp_\rho[ L_{loss}(f)] +# + 1/4 +# } +# \end{equation} +# +# If $Exp_\rho[ L_{fair}] <1/2$, then +# \begin{equation} +# L_{fair}(MV_\rho) \leqslant \frac{ +# Exp_{\rho^2}[ L_{fair}(f,f')] +# - Exp_\rho[ L_{fair}(f)]^2 +# }{ +# Exp_{\rho^2}[ L_{fair}(f,f')] +# - Exp_\rho[ L_{fair}(f)] +# + 1/4 +# } +# \end{equation} +# + + +# ------------------------------------- +# Theorem 3.5. +# ------------------------------------- + + +# ===================================== +# Preliminaries +# ===================================== +# original instance : (xneg, xpos, y ) +# slightly disturbed: (xneg, xqtb, y') +# +# X, X': list, shape (nb_inst, nb_feat) +# y, y': list, shape (nb_inst,) +# sensitive attributes: list, (nb_feat,) +# \in {0,1}^nb_feat +# represent: if it is a sensitive attribute +# + + +def perturb_numpy_ver(X, sen_att, priv_val, ratio=.5): + """ params + X : a np.ndarray + sen_att : list, column index of sensitive attribute(s) + priv_val: list, privileged value for each sen-att + """ + unpriv_dict = [list(set(X[:, sa])) for sa in sen_att] + for sa_list, pv in zip(unpriv_dict, priv_val): + if pv in sa_list: + sa_list.remove(pv) + + X_qtb = X.copy() # X_qtb = copy.deepcopy(X) + num, dim = len(X_qtb), len(sen_att) + + for i in range(num): + prng = np.random.rand(dim) + prng = prng <= ratio + + for j, sa, pv, un in zip(range( + dim), sen_att, priv_val, unpriv_dict): + if not prng[j]: + continue + + if X_qtb[i, sa] != pv: + X_qtb[i, sa] = pv + else: + X_qtb[i, sa] = np.random.choice(un) + + return X_qtb # np.ndarray + + +def perturb_pandas_ver(X, sen_att, priv_val, ratio=.5): + """ params + X : a pd.DataFrame + sen_att : list, column name(s) of sensitive attribute(s) + priv_val: list, privileged value for each sen-att + """ + unpriv_dict = [X[sa].unique().tolist() for sa in sen_att] + for sa_list, pv in zip(unpriv_dict, priv_val): + if pv in sa_list: + sa_list.remove(pv) + + X_qtb = X.copy() + # ''' + # num, dim = len(X_qtb), len(sen_att) + # if dim > 1: + # new_attr_name = '-'.join(sen_att) + # ''' + dim = len(sen_att) + + for i, ti in enumerate(X.index): + prng = np.random.rand(dim) + prng = prng <= ratio + + for j, sa, pv, un in zip(range( + dim), sen_att, priv_val, unpriv_dict): + if not prng[j]: + continue + + if X_qtb.iloc[i][sa] != pv: + X_qtb.loc[ti, sa] = pv + else: + X_qtb.loc[ti, sa] = np.random.choice(un) + + return X_qtb # pd.DataFrame + + +# ''' +# def disturb_slightly(X, sen=None, ratio=.4): +# if (not sen) or (not isinstance(sen, list)): +# return X +# dim = np.shape(X) +# X = np.array(X) +# +# for i in range(dim[0]): +# Ti = X[i] +# Tq = 1 - Ti +# # T = [q if j else k for k, q, j in zip(Ti, Tq, sens)] +# Tk = np.random.rand(dim[1]) +# Tk = np.logical_and(Tk, sen) +# T = [q if k else j for j, q, k in zip(Ti, Tq, Tk)] +# X[i] = T +# +# return X.tolist() +# +# +# def disturb_predicts(X, sen, clf, ratio=.4): +# Xp = disturb_slightly(X, sen, ratio) +# yt = clf.predict(X).tolist() +# yp = clf.predict(Xp).tolist() +# return yt, yp +# ''' + + +# ------------------------------------- +# Ensemble methods / Weighted vote +# +# weights of individual classifiers / coefficients +# $\rho = [w_1,w_2,...,w_m]^\mathsf{T}$ +# +# \begin{equation} +# MV_\rho(bmx) = +# \argmax_{y\in\mathcal{y}} +# \sum_{j=1}^m w_j \mathbb{I}(f_j(x) = y) +# \end{equation} +# +# NB. Ties are resolved arbitrarily. +# + + +def weighted_vote_subscript_rho(y, yt, weight): + # yt: list, shape (nb_cls, nb_inst) + # y : list, shape (nb_inst,) + # weight: list, shape (nb_cls,) + vY = np.unique(np.concatenate([[y], yt])) + + coef = np.array([weight]).T + weig = [np.sum( # weighted + coef * np.equal(yt, i), axis=0) for i in vY] + loca = np.array(weig).argmax(axis=0) # location + + return [vY[i] for i in loca] # i.e., fens + + +# ===================================== diff --git a/pyfair/dr_hfm/dist_drt.py b/pyfair/dr_hfm/dist_drt.py new file mode 100644 index 0000000..8ee9888 --- /dev/null +++ b/pyfair/dr_hfm/dist_drt.py @@ -0,0 +1,137 @@ +# coding: utf-8 +# Usage: to calculate the distance directly +# +# Author: Yj +# 1. Does Machine Bring in Extra Bias in Learning? Approximating Fairness +# in Models Promptly [https://arxiv.org/abs/2405.09251 arXiv] +# 2. Approximating Discrimination Within Models When Faced With Several +# Non-Binary Sensitive Attributes [https://arxiv.org/abs/2408.06099] +# + + +import numpy as np +import numba + +from pyfair.facil.utils_timer import fantasy_timer + + +# ========================================== +# Distance between sets + + +# ------------------------------------------ +# Euclidean metric +# +# Directly compute the distance (ext.) +# Si_c: complementary set /supplementary set + + +# Given the dataset $S=\{(\breve{x}_,\bm{a}_i,y_i) \mid i\in[n]\}$ +# composed of instances including sensitive attributes, here we +# denote one instance by $\bm{x}= (\breve{x},\bm{a}) =[x_1,...,x_{n_x}, +# a_1,...,a_{n_a}]^\mathsf{T}$ for clarity, where $n_a$ is the number +# of sensitive/protected attributes and $n_x$ is that of unprotected +# attributes in $\bm{x}$. + + +# ------------------------------------------ +# """ Parameters +# n : number of instances in a dataset +# nd: number of non-sensitive features +# na: number of sensitive attributes +# nc: number of classes/labels +# +# X_nA_y: a matrix with size of (n, 1+nd) +# Non-sensitive attributes of instances and their corresponding +# labels +# """ + + +@numba.jit(nopython=True) +def DistDirect_Euclidean(ele_i, ele_ic): + return float(np.linalg.norm(ele_i - ele_ic)) + + +@numba.jit(nopython=True) +def DistDirect_halfway_min(ele_i, Si_c): + elements = [DistDirect_Euclidean( + ele_i, ele_ic) for ele_ic in Si_c] + return min(elements) # float + + +@numba.jit(nopython=True) +def DistDirect_mediator(X_nA_y, idx_Si): + Sj, Sj_c = X_nA_y[idx_Si], X_nA_y[~idx_Si] + if len(Sj) == 0 or len(Sj_c) == 0: + return 0., 0. # default if Sj is an empty set + elements = [DistDirect_halfway_min( + ele_i, Sj_c) for ele_i in Sj] + return max(elements), sum(elements) + + +# ------------------------------------------ +# """ Parameters +# X_nA_y : a matrix with size of (n, 1+nd) +# +# idx_Si : an np.ndarray with the size of (n,) +# whether the corresponding instance belongs to the privileged +# group (if True) or not. +# idx_Sjs : a list of np.ndarrays, of which each indicates whether +# the instance belongs to different subgroups divided by +# the values of this one sensitive attribute. +# idx_Ai_Sjs: a list of lists, where each element is a list of np.ndarrays +# Basically, idx_Ai_Sjs = list of [idx_Sjs,], and idx_Si +# is a special circumstance of idx_Sjs when $a_i$ is +# bi-valued. +# """ + + +# In face of one sensitive attribute with binary values, that is, +# na=1 +# +# For a certain bi-valued sensitive attribute $a_i\in \mathcal{A}_i +# =\{ 0,1\}$, a dataset S can be $a_i=1$ +# +@fantasy_timer +@numba.jit(nopython=True) +def DirectDist_bin(X_nA_y, idx_Si): + half_1, half_1avg = DistDirect_mediator(X_nA_y, idx_Si) + half_2, half_2avg = DistDirect_mediator(X_nA_y, ~idx_Si) + tmp = (half_1avg + half_2avg) / len(X_nA_y) + return max(half_1, half_2), tmp + + +# In face of one sensitive attribute with multiple values, in other +# words, let $\bm{a}=[a_i]^\mathsf{T}$ be a single sensitive attribute, +# $n_a=1, a_i\in \mathcal{A}_i =\{1,2,...,n_{a_i}\}, n_{a_i}\geq 3$, +# and $n_{a_i}\in\mathbb{Z}_+$. +# +@fantasy_timer +def DirectDist_nonbin(X_nA_y, idx_Sjs): + half_mid = [DistDirect_mediator( + X_nA_y, idx_Si) for idx_Si in idx_Sjs] + half_pl_max, half_pl_avg = zip(*half_mid) + n = len(X_nA_y) + return max(half_pl_max), sum(half_pl_avg) / n + + +# In face of several sensitive attributes with binary/multiple values, +# that is, na>=2, na\in\mathbb{Z}_+ +# +# This is the general case, where we have several sensitive attributes +# $\bm{a}= [a_1,a_2,...,n_{n_a}]^\mathsf{T}$ and each $a_i\in +# \mathcal{A} =\{1,2,...,n_{a_i}\}$, where $n_{a_i}$ is the number of +# values for this sensitive attribute $a_i (1\leq i\leq n_a)$ +# +@fantasy_timer +def DirectDist_multiver(X_nA_y, idx_Ai_Sjs): + half_mid = [DirectDist_nonbin( + X_nA_y, idx_Sjs) for idx_Sjs in idx_Ai_Sjs] + half_mid, half_ut = zip(*half_mid) + half_pl_max, half_pl_avg = zip(*half_mid) + n_a = len(idx_Ai_Sjs) + return max(half_pl_max), sum(half_pl_avg) / n_a, ( + half_pl_max, half_pl_avg, half_ut) + + +# ------------------------------------------ diff --git a/pyfair/dr_hfm/dist_drt_test.py b/pyfair/dr_hfm/dist_drt_test.py new file mode 100644 index 0000000..84f5b0e --- /dev/null +++ b/pyfair/dr_hfm/dist_drt_test.py @@ -0,0 +1,95 @@ +# coding: utf-8 +# +# Usage: to calculate the distance directly +# + + +from pyfair.dr_hfm.dist_drt import ( + DistDirect_Euclidean, DistDirect_halfway_min, DistDirect_mediator, + DirectDist_bin, DirectDist_nonbin, DirectDist_multiver) +import numpy as np +# import pdb +from pyfair.facil.utils_const import check_equal, check_belong + + +def generate_dat(n, nd, na, nai, nc=2): + """ parameters + n : number of instances in a dataset + nd : number of non-sensitive features + na : number of sensitive attributes + nai: number of values within one sensitive attribute + nc : number of classes/labels + """ + + X = np.random.rand(n, nd) * 10 + y = np.random.randint(nc, size=n) # binary classification + A = np.random.randint(nai, size=(n, na)) + + X_nA_y = np.concatenate([y.reshape(-1, 1), X], axis=1) + indices = [[A[:, i] == j for j in range(nai)] for i in range(na)] + return X_nA_y, indices + + +def no_less_than_check(A_pl, b): + if not check_belong(A_pl, list, tuple): + assert A_pl >= b or check_equal(A_pl, b, 1e-5) + return + + for j in A_pl[1:]: + assert A_pl[0] == j + assert A_pl[0] >= b or check_equal(A_pl[0], b) + return + + +def test_mediator(): + n, nd, na, nai = 30, 4, 2, 2 + X_nA_y, indices = generate_dat(n, nd, na, nai) + idx_Si = indices[0][1] + Sj, Sj_c = X_nA_y[idx_Si], X_nA_y[~idx_Si] + + res = DistDirect_Euclidean(Sj[0], Sj_c[1]) + assert res >= 0 + tmp = DistDirect_halfway_min(Sj[0], Sj_c) + assert tmp >= 0 + ans = DistDirect_mediator(X_nA_y, idx_Si) + assert ans[0] >= 0 and ans[1] >= 0 + + # pdb.set_trace() + return + + +def compare_direct(nai): + n, nd, na = 30, 4, 2 + X_nA_y, indices = generate_dat(n, nd, na, nai) + + res_alt = DirectDist_bin(X_nA_y, indices[0][1]) + res = DirectDist_bin(X_nA_y, indices[0][1]) + assert res_alt[0][0] == res[0][0] >= 0 # max + assert res_alt[0][1] == res[0][1] >= 0 # avg + # pdb.set_trace() + # # assert res_alt[1] > res[1] # time_elapsed + # # assert res_alt[1] > res[1] or check_equal() + # no_less_than_check(res_alt[1], res[1]) + + tmp_2, _ = DirectDist_nonbin(X_nA_y, indices[1]) + tmp_1, _ = DirectDist_nonbin(X_nA_y, indices[0]) + ans, tim = DirectDist_multiver(X_nA_y, indices) + ans_max, ans_avg, tmp = ans + + for i in [0, 1, ]: # max, avg, + assert tmp[i][0] == tmp_1[i] and tmp[i][1] == tmp_2[i] + assert ans_max == max(tmp_1[0], tmp_2[0]) == max(tmp[0]) + assert ans_avg == (tmp_1[1] + tmp_2[1]) / na + assert ans_avg == sum(tmp[1]) / na + + assert tim >= sum(tmp[2]) # time_elapsed + assert ans_max >= 0 and ans_avg >= 0 + return + + +def test_direct_dist(): + # n, nd, na, nai = 30, 4, 2, 2 + compare_direct(2) + compare_direct(4) + compare_direct(3) + return diff --git a/pyfair/dr_hfm/dist_est_bin.py b/pyfair/dr_hfm/dist_est_bin.py new file mode 100644 index 0000000..10e9e92 --- /dev/null +++ b/pyfair/dr_hfm/dist_est_bin.py @@ -0,0 +1,324 @@ +# coding: utf-8 +# Usage: to approximate the distance quickly +# +# Author: Yj +# 1. Does Machine Bring in Extra Bias in Learning? Approximating Fairness +# in Models Promptly [https://arxiv.org/abs/2405.09251 arXiv] +# + + +import numpy as np +import numba + +from pyfair.facil.utils_timer import fantasy_timer +from pyfair.dr_hfm.dist_drt import DistDirect_Euclidean + + +# ========================================== +# Estimated distance between sets + + +# ------------------------------------------ +# Algorithm 2: Sub-routes + +# """ parameters +# # X, A, y, fx: np.ndarray +# # idx_S1: np.ndarray of `np.bool_` +# # m1, m2: scalar, hyperparameters +# +# X : np.ndarray, size (n, n_d) +# A : np.ndarray, size (n, n_a) +# y : np.ndarray, size (n,), true labels +# fx: np.ndarray, size (n,), prediction of one classifier +# idx_S1: np.ndarray, size (n,) +# whether the instance belongs to the privileged group (if +# True) +# m1: scalar, number of repetition +# m2: scalar, number of comparison +# vec_w : np.ndarray, size (1+n_d,) +# """ + + +@numba.jit(nopython=True) +def set_belonging(idx_S0, idx_S1, i_anchor, idx_j): + if idx_S0[i_anchor] == idx_S0[idx_j]: + return True + if idx_S1[i_anchor] == idx_S1[idx_j]: + return True + return False + + +@numba.jit(nopython=True) +def sub_accelerator_smaler(X_yfx, A, idx_S0, idx_S1, idx_y_fx, + i, m2): + i_anchor = idx_y_fx[i] # anchor's location after projection + A_anchor = A[i_anchor] + X_yfx_anchor = X_yfx[i_anchor] + + # Compute the distance d(anchor,\cdot) for at most m2 nearby + # data points that meets a!=ai and g()<=g(xi,yi;w) + j, num_j, min_js = i, 0, np.finfo(np.float32).max + j = i - 1 # doesn't have to be compared with the anchor + while num_j < m2: + if j < 0: + break + + idx_j = idx_y_fx[j] + if set_belonging(idx_S0, idx_S1, i_anchor, idx_j): + j -= 1 + continue + + curr = DistDirect_Euclidean(X_yfx_anchor, X_yfx[idx_j]) + if curr < min_js: + min_js = curr + + num_j += 1 + j -= 1 + # Find the minimum among them, recorded as d_min^s + # del A_anchor + return min_js + + +@numba.jit(nopython=True) +def sub_accelerator_larger(X_yfx, A, idx_S0, idx_S1, idx_y_fx, + i, m2): + i_anchor = idx_y_fx[i] # anchor's location after projection + A_anchor = A[i_anchor] + X_yfx_anchor = X_yfx[i_anchor] + + # Compute the distances d(anchor,\cdot) for at most m2 nearby + # data points that meets a!=ai and g()>=g(xi,yi;w) + j, num_j, min_jr = i, 0, np.finfo(np.float32).max + j = i + 1 # doesn't have to be compared with the anchor + n = len(X_yfx) + while num_j < m2: + if j >= n: + break + + idx_j = idx_y_fx[j] + if set_belonging(idx_S0, idx_S1, i_anchor, idx_j): + j += 1 + continue + + curr = DistDirect_Euclidean(X_yfx_anchor, X_yfx[idx_j]) + if curr < min_jr: + min_jr = curr + + num_j += 1 + j += 1 + # Find the minimum among them, recorded as d_min^r + return min_jr + + +# ------------------------------------------ +# Algorithm 2. AcceleDist + + +# Projection using \mathbf{w} +# +@numba.jit(nopython=True) +def projector(element, vec_w): + return float(np.dot(element, vec_w)) + + +@fantasy_timer +def AcceleDist_bin(X_and_yddot, A, idx_S0, idx_S1, m2, vec_w): + # Project data points onto a one-dimensional space + proj = [projector(ele, vec_w) for ele in X_and_yddot] + idx_y_fx = np.argsort(proj) + + n = X_and_yddot.shape[0] # number of instances + d_min = [] + for i in range(n): + # Set the anchor data point (xi,yi) in this round + + min_js = sub_accelerator_smaler( + X_and_yddot, A, idx_S0, idx_S1, idx_y_fx, i, m2) + min_jr = sub_accelerator_larger( + X_and_yddot, A, idx_S0, idx_S1, idx_y_fx, i, m2) + + # finally, + tmp = min(min_js, min_jr) + d_min.append(tmp) + # return max(d_min) + return max(d_min), sum(d_min) + + +# ------------------------------------------ +# Algorithm 1. ApproxDist + + +@numba.jit(nopython=True) +def weight_generator(n_d): + vec_w = np.zeros(1 + n_d) + tmp = 1. + for i in range(1 + n_d): + vec_w[i] = np.random.uniform(-tmp, tmp) + tmp -= np.abs(vec_w[i]) + vec_w[n_d] = 1. - np.sum(np.abs(vec_w[: -1])) + return vec_w + + +# """ +# @fantasy_timer +# def ApproxDist_bin(X_and_yddot, A, idx_S1, m1, m2): +# idx_S0 = ~idx_S1 +# n_d = X_and_yddot.shape[1] # n,n_d= X_and_yddot.shape +# d_max = [] +# for _ in range(m1): # for k in +# vec_w = weight_generator(n_d - 1) +# tmp, _ = AcceleDist_bin( +# X_and_yddot, A, idx_S0, idx_S1, m2, vec_w) +# d_max.append(tmp[0]) +# return min(d_max) # float + + +# @fantasy_timer +# def ApproxDist_bin_revised(X_and_yddot, A, idx_S1, m1, m2): +# idx_S0 = ~idx_S1 +# n, n_d = X_and_yddot.shape +# d_max, d_avg = [], [] +# for _ in range(m1): # for k in +# vec_w = weight_generator(n_d - 1) +# tmp, _ = AcceleDist_bin( +# X_and_yddot, A, idx_S0, idx_S1, m2, vec_w) +# d_max.append(tmp[0]) +# d_avg.append(tmp[1]) +# # return min(d_max) # float +# return min(d_max), min(d_avg) / float(n) +# """ + + +# @fantasy_timer +# def ApproxDist_bin(X_nA_y, A_j, non_sa, m1, m2): +@fantasy_timer +def ApproxDist_bin(X_nA_y, A_j, idx_S1, m1, m2): + idx_S0 = ~idx_S1 # idx_sa = ~non_sa + n_d = X_nA_y.shape[1] # n,n_d= X_nA_y.shape + d_max = [] + for _ in range(m1): # for k in + vec_w = weight_generator(n_d - 1) + tmp, _ = AcceleDist_bin( + # X_nA_y, A_j, idx_sa, non_sa, m2, vec_w) + X_nA_y, A_j, idx_S0, idx_S1, m2, vec_w) + d_max.append(tmp[0]) + return min(d_max) # float + + +# @fantasy_timer +# def ApproxDist_bin_revised(X_nA_y, A_j, non_sa, m1, m2): +@fantasy_timer +def ApproxDist_bin_revised(X_nA_y, idx_S1, m1, m2): + A_j = idx_S1.astype('int') # non_sa.astype('int') + idx_S0 = ~idx_S1 # idx_sa = ~non_sa + n, n_d = X_nA_y.shape + d_max, d_avg = [], [] + for _ in range(m1): # for k in + vec_w = weight_generator(n_d - 1) + tmp, _ = AcceleDist_bin( + # X_nA_y, A_j, idx_sa, non_sa, m2, vec_w) + X_nA_y, A_j, idx_S0, idx_S1, m2, vec_w) + d_max.append(tmp[0]) + d_avg.append(tmp[1]) + # return min(d_max) # float + return min(d_max), min(d_avg) / float(n) + + +# ------------------------------------------ +# +# ------------------------------------------ +# Alternative forms: +# AcceleDist_bin, ApproxDist_bin + + +@numba.jit(nopython=True) +def subalt_accel_smaler(X_yfx, idx_S0, idx_S1, idx_y_fx, + i, m2, i_anchor, X_yfx_anchor): + # Compute the distance d(anchor,\cdot) for at most m2 nearby + # data points that meets a!=ai and g()<=g(xi,yi;w) + j, num_j, tmp_list = i - 1, 0, [] # No comparison with anchor + min_js = float(np.finfo(np.float32).max) # or min_js_list + while num_j < m2: + if j < 0: + break + idx_j = idx_y_fx[j] + if set_belonging(idx_S0, idx_S1, i_anchor, idx_j): + j -= 1 + continue + curr = DistDirect_Euclidean(X_yfx_anchor, X_yfx[idx_j]) + if curr < min_js: + min_js = curr + tmp_list.append(curr) # min_js_list.append(curr) + num_j += 1 + j -= 1 + # Find the minimum among them, recorded as d_min^s + return min_js, tmp_list + + +@numba.jit(nopython=True) +def subalt_accel_larger(X_yfx, idx_S0, idx_S1, idx_y_fx, + i, m2, i_anchor, X_yfx_anchor): + # Compute the distances d(anchor,\cdot) for at most m2 nearby + # data points that meets a!=ai and g()>=g(xi,yi;w) + j, num_j, tmp_list = i + 1, 0, [] # No comparison with anchor + min_jr = float(np.finfo(np.float32).max) # or min_jr_list + n = len(X_yfx) + while num_j < m2: + if j >= n: + break + idx_j = idx_y_fx[j] + if set_belonging(idx_S0, idx_S1, i_anchor, idx_j): + j += 1 + continue + curr = DistDirect_Euclidean(X_yfx_anchor, X_yfx[idx_j]) + if curr < min_jr: + min_jr = curr + tmp_list.append(min_jr) # min_jr_list.append(min_jr) + num_j += 1 + j += 1 + # Find the minimum among them, recorded as d_min^r + return min_jr, tmp_list + + +@fantasy_timer +def AcceleDist_bin_alter(X_and_yddot, idx_S0, idx_S1, m2, vec_w): + # Project data points onto a one-dimensional space + proj = [projector(ele, vec_w) for ele in X_and_yddot] + idx_y_fx = np.argsort(proj) + n = X_and_yddot.shape[0] # number of instances + d_min = [] + for i in range(n): + i_anchor = idx_y_fx[i] # anchor's location aft projection + X_yfx_anchor = X_and_yddot[i_anchor] + # Set the anchor data point (xi,yi) in this round + min_js, _ = subalt_accel_smaler( + X_and_yddot, idx_S0, idx_S1, idx_y_fx, i, m2, + i_anchor, X_yfx_anchor) + min_jr, _ = subalt_accel_larger( + X_and_yddot, idx_S0, idx_S1, idx_y_fx, i, m2, + i_anchor, X_yfx_anchor) + tmp = min(min_js, min_jr) # finally, + d_min.append(tmp) + return max(d_min), sum(d_min) # ,d_min # return max(d_min) + + +@fantasy_timer +def ApproxDist_bin_alter(X_nA_y, Aj_nsa, m1, m2): + idx_S0 = ~Aj_nsa # Aj_nsa i.e. idx_S1 + n, n_d = X_nA_y.shape # n_d = X_nA_y.shape[1] + d_max, d_avg = [], [] # d_max = [] + for _ in range(m1): # for k in + vec_w = weight_generator(n_d - 1) + tmp, _ = AcceleDist_bin_alter( + X_nA_y, idx_S0, Aj_nsa, m2, vec_w) + # tmp, _ = AcceleDist_bin( + # X_nA_y, Aj_nsa.astype('int'), + # idx_S0, Aj_nsa, m2, vec_w) + d_max.append(tmp[0]) + d_avg.append(tmp[1]) + # return min(d_max) # float + return min(d_max), min(d_avg) / float(n) + + +# ------------------------------------------ +# diff --git a/pyfair/dr_hfm/dist_est_nonbin.py b/pyfair/dr_hfm/dist_est_nonbin.py new file mode 100644 index 0000000..851df48 --- /dev/null +++ b/pyfair/dr_hfm/dist_est_nonbin.py @@ -0,0 +1,235 @@ +# coding: utf-8 +# Usage: to approximate the distance quickly +# +# Author: Yj +# 2. Approximating Discrimination Within Models When Faced With Several +# Non-Binary Sensitive Attributes [https://arxiv.org/abs/2408.06099] +# + + +import numpy as np +import numba + +from pyfair.facil.utils_timer import fantasy_timer +from pyfair.dr_hfm.dist_drt import DistDirect_Euclidean +from pyfair.dr_hfm.dist_est_bin import projector + + +# ========================================== +# Estimated distance between sets + + +# ------------------------------------------ +# Algorithm 3. Sub-routines + + +@numba.jit(nopython=True) +def set_belonging(A_anchor, Ai_j): + return True if A_anchor == Ai_j else False + + +@numba.jit(nopython=True) +def sub_accelerator_smaler(X_yfx, Ai, idx_y_fx, i, m2): + i_anchor = idx_y_fx[i] + A_anchor = Ai[i_anchor] + X_yfx_anchor = X_yfx[i_anchor] + + # Compute the distances d(anchor,\cdot) for at most m2 nearby + # data points that meets a!=ai and g()<=g(xi,yi;w) + j, num_j, min_js = i, 0, np.finfo(np.float32).max + j = i - 1 # doesn't have to be compared with the anchor + while num_j < m2: + if j < 0: + break + + idx_j = idx_y_fx[j] + if set_belonging(A_anchor, Ai[idx_j]): + j -= 1 + continue + + curr = DistDirect_Euclidean(X_yfx_anchor, X_yfx[idx_j]) + if curr < min_js: + min_js = curr + # Find the minimum among them, recorded as d_min^s + + num_j += 1 + j -= 1 + return min_js + + +@numba.jit(nopython=True) +def sub_accelerator_larger(X_yfx, Ai, idx_y_fx, i, m2): + i_anchor = idx_y_fx[i] + A_anchor = Ai[i_anchor] + X_yfx_anchor = X_yfx[i_anchor] + + # Compute the distances d(anchor,\cdot) for at most m2 nearby + # data points that meets a!=ai and g()>=g(xi,yi;w) + j, num_j, min_jr = i, 0, np.finfo(np.float32).max + j = i + 1 # doesn't have to be compared with the anchor + n = len(X_yfx) + while num_j < m2: + if j >= n: + break + + idx_j = idx_y_fx[j] + if set_belonging(A_anchor, Ai[idx_j]): + j += 1 + continue + + curr = DistDirect_Euclidean(X_yfx_anchor, X_yfx[idx_j]) + if curr < min_jr: + min_jr = curr + # Find the minimum among them, record as d_min^r + + num_j += 1 + j += 1 + return min_jr + + +# ------------------------------------------ +# Algorithm 3. AcceleDist + +# """ parameters +# X_nA_y: np.ndarray, size (n, 1+n_d) +# A_i: np.ndarray, size (n,) +# indicating which group the instance belongs to, +# corresponding to one single sensitive attribute +# m1 : scalar, number of repetition +# m2 : scalar, number of comparison +# vec_w: np.ndarray, size (1+n_d,) +# """ + + +@fantasy_timer +def AcceleDist_nonbin(X_nA_y, A_j, m2, vec_w): + proj = [projector(ele, vec_w) for ele in X_nA_y] + idx_y_fx = np.argsort(proj) + + n = X_nA_y.shape[0] # number of instances + d_min = [] + for i in range(n): + # Set the anchor data point (xi,yi) in this round + + min_js = sub_accelerator_smaler(X_nA_y, A_j, idx_y_fx, i, m2) + min_jr = sub_accelerator_larger(X_nA_y, A_j, idx_y_fx, i, m2) + + # finally, + tmp = min(min_js, min_jr) + d_min.append(tmp) + return max(d_min), sum(d_min) + + +# ------------------------------------------ +# Algorithm 2. ApproxDist + + +@fantasy_timer +def orthogonal_weight(n_d, n_e=3): + for _ in range(n_d): + B = np.random.rand(n_d, n_d) + tmp = np.linalg.det(B) + if tmp != 0: + break + + A_T = B.T.copy() # schmidt + tmp = A_T[0] / np.sqrt(np.dot(A_T[0], A_T[0])) + eta = [tmp] + for i in range(1, n_e): + + schmidt = np.zeros(n_d) + for j in range(i): + schmidt += np.dot(A_T[i], eta[j]) * eta[j] + tmp = A_T[i] - schmidt + tmp = tmp / np.sqrt(np.dot(tmp, tmp)) + + eta.append(tmp) + return np.array(eta) + + +@fantasy_timer +def ApproxDist_nonbin(X_nA_y, A_j, m1, m2, n_e=2): + n, n_d = X_nA_y.shape # n_d-1: number of non-sen att(s) + # n_d-1: number of non-sensitive attributes + d_max, d_avg = [], [] + for _ in range(m1): # for j in + + # Take two orthogonal vectors $w_0$ and $w_1$ where each $w_k + # \in [-1,+1]^{1+n_x} (k=\{0,1\})$ + # Or take three orthogonal vectors. Your choice. + W, _ = orthogonal_weight(n_d, n_e) + + tmp = [AcceleDist_nonbin( + X_nA_y, A_j, m2, W[k]) for k in range(n_e)] + tmp, _ = zip(*tmp) + t_max, t_avg = zip(*tmp) + + d_max.append(min(t_max)) + d_avg.append(min(t_avg)) + return min(d_max), min(d_avg) / float(n) + + +@fantasy_timer +def ApproxDist_nonbin_mpver(X_nA_y, A_j, m1, m2, n_e=2, pool=None): + n, n_d = X_nA_y.shape + d_max, d_avg = [], [] + X_nA_y_map = [X_nA_y] * n_e + A_j_map = [A_j] * n_e + m2_map = [m2] * n_e + + if pool is None: + W = list(map(orthogonal_weight, [n_d] * m1, [n_e] * m1)) + W, _ = zip(*W) # ignoring time cost + for j in range(m1): + tmp = list(map(AcceleDist_nonbin, + X_nA_y_map, A_j_map, m2_map, W[j])) + tmp, _ = zip(*tmp) + t_max, t_avg = zip(*tmp) + d_max.append(min(t_max)) + d_avg.append(min(t_avg)) + + else: + W = pool.map(orthogonal_weight, [n_d] * m1, [n_e] * m1) + W, _ = zip(*W) + for j in range(m1): + tmp = pool.map(AcceleDist_nonbin, + X_nA_y_map, A_j_map, m2_map, W[j]) + tmp, _ = zip(*tmp) + t_max, t_avg = zip(*tmp) + d_max.append(min(t_max)) + d_avg.append(min(t_avg)) + + return min(d_max), min(d_avg) / float(n) + + +# ------------------------------------------ +# Algorithm 1. ExtendDist + + +@fantasy_timer +def ExtendDist_multiver_mp(X_nA_y, A, m1, m2, n_e=3, pool=None): + # n, n_a = A.shape # n: number of instances + _, n_a = A.shape # n_a: number of sensitive attributes + + X_nA_y_map = [X_nA_y] * n_a + A_i_map = [A[:, j].copy() for j in range(n_a)] + m1_map = [m1] * n_a + m2_map = [m2] * n_a + ne_map = [n_e] * n_a + + if pool is None: + tmp = list(map(ApproxDist_nonbin, + X_nA_y_map, A_i_map, m1_map, m2_map, ne_map)) + else: + tmp = pool.map(ApproxDist_nonbin, + X_nA_y_map, A_i_map, m1_map, m2_map, ne_map) + del X_nA_y_map, A_i_map, m1_map, m2_map, ne_map + + tmp, half_ut = zip(*tmp) + d_max, d_avg = zip(*tmp) + return max(d_max), sum(d_avg) / float(n_a), ( + d_max, d_avg, half_ut) + + +# ------------------------------------------ +# diff --git a/pyfair/dr_hfm/dist_est_test.py b/pyfair/dr_hfm/dist_est_test.py new file mode 100644 index 0000000..23e912a --- /dev/null +++ b/pyfair/dr_hfm/dist_est_test.py @@ -0,0 +1,317 @@ +# coding: utf-8 +# +# Usage: to approximate the distance quickly +# when faced with one bi-valued sensitive attribute +# + + +import numpy as np +from pathos import multiprocessing as pp +import pdb + + +from pyfair.dr_hfm.dist_est_bin import ( + weight_generator, AcceleDist_bin, ApproxDist_bin, + projector, ApproxDist_bin_revised) +from pyfair.dr_hfm.dist_est_nonbin import ( + orthogonal_weight, AcceleDist_nonbin, ApproxDist_nonbin, + ApproxDist_nonbin_mpver) # , ExtendDist_multiver_mp) + +from pyfair.dr_hfm.dist_drt import ( + DirectDist_bin, DirectDist_nonbin, DirectDist_multiver) +from pyfair.dr_hfm.dist_drt_test import no_less_than_check + + +from pyfair.dr_hfm.dist_est_bin import ( + AcceleDist_bin_alter, ApproxDist_bin_alter, + sub_accelerator_smaler, subalt_accel_smaler, + sub_accelerator_larger, subalt_accel_larger) +# from pyfair.dr_hfm.dist_drt import DistDirect_Euclidean + + +def generate_dat(n, nd, na, nai, nc=2): + """ parameters + n : number of instances in a dataset + nd : number of non-sensitive features + na : number of sensitive attributes + nai: number of values within one sensitive attribute + nc : number of classes/labels + """ + + X = np.random.rand(n, nd) * 10 + y = np.random.randint(nc, size=n) # binary classification + A = np.random.randint(nai, size=(n, na)) + + X_nA_y = np.concatenate([y.reshape(-1, 1), X], axis=1) + indices = [[A[:, i] == j for j in range(nai)] for i in range(na)] + vec_w = np.random.rand(1 + nd) + vec_w /= np.sum(vec_w) + return X_nA_y, A, indices, vec_w + + +def compare_accele(nai, m1, m2): + n, nd, na = 30, 4, 2 + X_nA_y, A, indices, vec_w = generate_dat(n, nd, na, nai) + k = 0 + idx_S1, Ap = indices[k][1], A[:, k] + idx_S0 = ~idx_S1 + + # res_alt = DirectDist_bin(X_nA_y, idx_S1) + res_1 = DirectDist_bin(X_nA_y, idx_S1) + index_alt = [~indices[k][1], indices[k][1]] # indices[0] + res_2 = DirectDist_nonbin(X_nA_y, index_alt) + assert res_1[0][0] == res_2[0][0] # max + assert res_1[0][1] == res_2[0][1] # avg + + Aq = Ap.copy() + Aq[Ap > 1] = 0 + tmp_1 = AcceleDist_bin(X_nA_y, Aq, idx_S0, idx_S1, m2, vec_w) + tmp_2 = AcceleDist_nonbin(X_nA_y, Aq, m2, vec_w) + tmp_3 = AcceleDist_bin(X_nA_y, Ap, idx_S0, idx_S1, m2, vec_w) + tmp_4 = AcceleDist_nonbin(X_nA_y, Ap, m2, vec_w) + # # assert tmp_1[0] == tmp_2[0][0] == tmp_3[0] >= tmp_4[0][0] + # # assert tmp_2[0][1] >= tmp_4[0][1] # avg #↑↓ max `tat=tmp_alt` + # assert tmp_1[0][0] == tmp_2[0][0] == tmp_3[0][0] >= tmp_4[0][0] + # assert tmp_1[0][1] == tmp_2[0][1] == tmp_3[0][1] >= tmp_4[0][1] + + tmp_1, _ = tmp_1 + tmp_2, _ = tmp_2 + tmp_3, _ = tmp_3 + tmp_4, _ = tmp_4 + # pdb.set_trace() + + # '' ' + # assert tmp_1[0] == tmp_2[0] == tmp_3[0] # >= tmp_4[0] + # assert tmp_1[1] == tmp_2[1] == tmp_3[1] # >= tmp_4[1] + # assert tmp_3[0] >= tmp_4[0] or check_equal(tmp_3[0], tmp_4[0]) + # assert tmp_3[1] >= tmp_4[1] or check_equal(tmp_3[1], tmp_4[1]) + # '' ' + + no_less_than_check([tmp_1[0], tmp_2[0], tmp_3[0]], res_2[0][0]) + no_less_than_check([tmp_1[1], tmp_2[1], tmp_3[1]], res_2[0][1]) + # error + # no_less_than_check([tmp_1[0], tmp_2[0], tmp_3[0]], tmp_4[0]) + # no_less_than_check([tmp_1[1], tmp_2[1], tmp_3[1]], tmp_4[1]) + return + + +def compare_approx(nai, m1, m2, n_e=2): + n, nd, na = 30, 4, 2 + X_nA_y, A, indices, vec_w = generate_dat(n, nd, na, nai) + k = 0 + idx_S1, Ap = indices[k][1], A[:, k] + # idx_S0 = ~idx_S1 + Aq = Ap.copy() + Aq[Ap > 1] = 0 + + res_1 = DirectDist_bin(X_nA_y, idx_S1) + index_alt = [~indices[k][1], indices[k][1]] + res_2 = DirectDist_nonbin(X_nA_y, index_alt) + res_3 = DirectDist_nonbin(X_nA_y, indices[k]) + assert res_1[0][0] == res_2[0][0] # max + assert res_1[0][1] == res_2[0][1] # avg + + ans_1 = ApproxDist_bin(X_nA_y, Aq, idx_S1, m1, m2) + ans_2 = ApproxDist_bin_revised(X_nA_y, idx_S1, m1, m2) # Aq, + ans_3 = ApproxDist_nonbin(X_nA_y, Aq, m1, m2, n_e) + ans_4 = ApproxDist_bin(X_nA_y, Ap, idx_S1, m1, m2) + ans_5 = ApproxDist_bin_revised(X_nA_y, idx_S1, m1, m2) # Ap, + ans_6 = ApproxDist_nonbin(X_nA_y, Ap, m1, m2, n_e) + + ans_1, _ = ans_1 + ans_2, _ = ans_2 + ans_3, _ = ans_3 + ans_4, _ = ans_4 + ans_5, _ = ans_5 + ans_6, _ = ans_6 + + tmp_2, _ = ApproxDist_bin_revised(X_nA_y, ~idx_S1, m1, m2) # Aq, + tmp_5, _ = ApproxDist_bin_revised(X_nA_y, ~idx_S1, m1, m2) # Ap, + # assert ans_2[0] == ans_5[0] == tmp_2[0] == tmp_5[0] + + # pdb.set_trace() + for i in [0, 1]: # max, avg + if i == 0: + no_less_than_check(ans_1, res_2[0][i]) + no_less_than_check(ans_4, res_2[0][i]) + + no_less_than_check(ans_2[i], res_2[0][i]) + no_less_than_check(ans_3[i], res_2[0][i]) + no_less_than_check(ans_5[i], res_2[0][i]) + no_less_than_check(ans_6[i], res_3[0][i]) + + # assert ans_1 == ans_2[0] == ans_3[0] == ans_4 == ans_5[0] >= ans_6[0] + # assert ans_2[1] == ans_3[1] == ans_5[1] >= ans_6[1] # avg # ↑ max + # '' ' + # assert ans_1 >= res_2[0][0] + # assert ans_2[0] >= res_2[0][0] and ans_2[1] >= res_2[0][1] + # assert ans_3[0] >= res_2[0][0] and ans_3[1] >= res_2[0][1] + # assert ans_4 >= res_2[0][0] + # assert ans_5[0] >= res_2[0][0] and ans_5[1] >= res_2[0][1] + # assert ans_6[0] >= res_3[0][0] and ans_6[1] >= res_3[0][1] + # '' ' + + # assert ans_2[0] >= res_2[0] or check_equal( + # ans_2[0], res_2[0]) # max + # assert ans_2[1] >= res_2[1] or check_equal( + # ans_2[1], res_2[1]) # avg + # assert ans_1 >= res_2[0] or check_equal( + # ans_1, res_2[0]) # max + + del vec_w + return + + +def compare_multiver(nai, m1, m2, n_e=2): + n, nd, na = 30, 4, 2 + X_nA_y, A, indices, vec_w = generate_dat(n, nd, na, nai) + W, tim = orthogonal_weight(nd + 1, n_e) + pool = pp.ProcessingPool(nodes = 3) # mp_cores) + assert np.dot(W[0], W[1]) < 10**8 # sum(W[0]*W[1]) + assert abs(1 - sum(vec_w)) < 10**8 + + k = 0 + A_j = A[:, k] + idx_S1 = A_j == 1 + idx_S0 = ~idx_S1 + tmp_1 = DirectDist_bin(X_nA_y, idx_S1) + tmp_3 = DirectDist_nonbin(X_nA_y, [idx_S0, idx_S1]) + tmp_4 = DirectDist_nonbin(X_nA_y, indices[k]) + tmp_7, _ = DirectDist_multiver(X_nA_y, indices) + + tmp_1, _ = tmp_1 + tmp_3, _ = tmp_3 + tmp_4, _ = tmp_4 + _, _, tmp_7 = tmp_7 + tmp_7 = tmp_7[: -1] + # pdb.set_trace() + # assert tmp_1[0] == tmp_3[0] >= tmp_4[0] == tmp_7[0][k] # max + # assert tmp_1[1] == tmp_3[1] == tmp_4[1] == tmp_7[1][k] # avg + assert tmp_1[0] == tmp_3[0] and tmp_4[0] == tmp_7[0][k] # max + assert tmp_1[1] == tmp_3[1] and tmp_4[1] == tmp_7[1][k] # avg + + res_1 = ApproxDist_bin(X_nA_y, A_j, idx_S1, m1, m2) + res_2 = ApproxDist_bin_revised(X_nA_y, idx_S1, m1, m2) # A_j, + res_4 = ApproxDist_nonbin(X_nA_y, A_j, m1, m2, n_e) + res_5 = ApproxDist_nonbin_mpver(X_nA_y, A_j, m1, m2, n_e) + res_6 = ApproxDist_nonbin_mpver(X_nA_y, A_j, m1, m2, n_e, pool) + + res_1, _ = res_1 + res_2, _ = res_2 + res_4, _ = res_4 + res_5, _ = res_5 + res_6, _ = res_6 + # pdb.set_trace() + + for i in [0, 1]: # max, avg + no_less_than_check(res_2[i], tmp_1[i]) + assert tmp_1[i] == tmp_3[i] + no_less_than_check(res_4[i], tmp_4[i]) + no_less_than_check(res_5[i], tmp_4[i]) + no_less_than_check(res_6[i], tmp_4[i]) + no_less_than_check(res_1, tmp_1[0]) + assert tmp_7[0][k] == tmp_4[0] # max + assert tmp_7[1][k] == tmp_4[1] # avg + + del W + return + + +def test_approx_dist(): + m1, m2 = 3, 5 + compare_accele(2, m1, m2) + compare_accele(3, m1, m2) + compare_approx(2, m1, m2) + compare_approx(3, m1, m2) + compare_multiver(2, m1, m2) + compare_multiver(3, m1, m2) + + return + + +# def subcomp_alternative( +# X_nA_y, A_j, idx_S0, idx_S1, m1, m2, vec_w): +# from pyfair.dr_hfm.dist_est_bin import ( +# sub_accelerator_smaler, subalt_accel_smaler, +# sub_accelerator_larger, subalt_accel_larger,) +# +# proj = [projector(ele, vec_w) for ele in X_nA_y] +# idx_y_fx = np.argsort(proj) +# pdb.set_trace() +# return + + +def compare_alternative(nai, m1, m2): + n, nd, na = 30, 4, 2 + X_nA_y, A, indices, vec_w = generate_dat(n, nd, na, nai) + W = weight_generator(n_d=5) + assert W.shape[0] == 5 + 1 + + k = 0 + A_j = A[:, k] + idx_S1 = A_j == 1 + idx_S0 = ~idx_S1 + + tmp_1 = AcceleDist_bin(X_nA_y, A_j, idx_S0, idx_S1, m2, vec_w) + tmp_3 = AcceleDist_bin_alter(X_nA_y, idx_S0, idx_S1, m2, vec_w) + ans_1 = DirectDist_bin(X_nA_y, idx_S1) + res_1 = ApproxDist_bin(X_nA_y, A_j, idx_S1, m1, m2) + res_2 = ApproxDist_bin_revised(X_nA_y, idx_S1, m1, m2) # A_j, + res_3 = ApproxDist_bin_alter(X_nA_y, idx_S1, m1, m2) + + res_1, _ = res_1 + res_2, _ = res_2 + res_4, _ = res_3 + tmp_1, _ = tmp_1 + tmp_3, _ = tmp_3 + ans_1, _ = ans_1 + + # def subcomp_alternative(X_nA_y, A_j, idx_S0, idx_S1, + # idx_y_fx, ik, m2): + def subcomp_alternative(idx_y_fx, ik): + ans_js = sub_accelerator_smaler( + X_nA_y, A_j, idx_S0, idx_S1, idx_y_fx, ik, m2) + ans_jr = sub_accelerator_larger( + X_nA_y, A_j, idx_S0, idx_S1, idx_y_fx, ik, m2) + res_js, _ = subalt_accel_smaler( + X_nA_y, idx_S0, idx_S1, idx_y_fx, ik, m2) + res_jr, _ = subalt_accel_larger( + X_nA_y, idx_S0, idx_S1, idx_y_fx, ik, m2) + # return ans_js, ans_jr, res_js, res_jr + return ans_js, res_js, ans_jr, res_jr + + # def subcomp_subaccel(idx_y_fx, ik): + # from pyfair.dr_hfm.dist_est_bin import set_belonging + # i_anchor = idx_y_fx[ik] + # X_yfx_anchor = X_nA_y[i_anchor] + # return min(min_js, min_jr), min_js_list, min_jr_list + + if res_4[0] < ans_1[0]: + # nai=2|3 都有可能出现 + # subcomp_alternative(X_nA_y, A_j, idx_S0, idx_S1, m1, m2, vec_w) + proj = [projector(ele, vec_w) for ele in X_nA_y] + idx_y_fx = np.argsort(proj) + # intermediate = subcomp_alternative( + # X_nA_y, A_j, idx_S0, idx_S1, idx_y_fx, 0, m2) + intermediate = subcomp_alternative(idx_y_fx, 0) + # intermediate = subcomp_subaccel(idx_y_fx, 1) + pdb.set_trace() + + no_less_than_check(res_1, ans_1[0]) + for i in [0, 1]: # max,avg + no_less_than_check(res_2[i], ans_1[i]) + no_less_than_check(res_4[i], ans_1[i]) + # res_4: + # (6.469993525578606 >= 6.826606523423045 or False) + # (7.182977542299324 >= 7.502924673636918 or False) + no_less_than_check(tmp_1[0], ans_1[0]) + no_less_than_check(tmp_3[0], ans_1[0]) + return + + +def test_alternative_bin(): + # from pyfair.dr_hfm.dist_est_bin import ( + # AcceleDist_bin_alter, ApproxDist_bin_alter) + m1, m2 = 3, 5 + compare_alternative(2, m1, m2) + return diff --git a/pyfair/dr_hfm/dr_pareto_optimal.py b/pyfair/dr_hfm/dr_pareto_optimal.py new file mode 100644 index 0000000..d7b7ba1 --- /dev/null +++ b/pyfair/dr_hfm/dr_pareto_optimal.py @@ -0,0 +1,881 @@ +# coding: utf-8 +# Aim to provide: +# +# TARGET: +# Oracle bounds regarding fairness for weighted vote +# PAC bounds +# + + +from copy import deepcopy +import gc +from itertools import permutations, combinations +import numpy as np +from pathos import multiprocessing as pp + +from pyfair.dr_hfm.discriminative_risk import ( + hat_L_fair, hat_L_loss, Erho_sup_L_fair, + E_rho_L_loss_f, tandem_objt, cal_L_obj_v1) +from pyfair.facil.ensem_voting import weighted_voting +from pyfair.granite.ensem_pruning import _PEP_flipping_uniformly + +# Algorithm 4 +from pyfair.marble.metric_fair import ( + marginalised_pd_mat, prev_unpriv_unaware, prev_unpriv_manual, + prev_unpriv_grp_one, prev_unpriv_grp_two, prev_unpriv_grp_thr) +from pyfair.marble.draw_hypos import _Friedman_sequential + + +gc.enable() + +unpriv_group_one = prev_unpriv_grp_one +unpriv_group_two = prev_unpriv_grp_two +unpriv_group_thr = prev_unpriv_grp_thr +unpriv_unaware = prev_unpriv_unaware +unpriv_manual = prev_unpriv_manual +del prev_unpriv_grp_one, prev_unpriv_grp_two, prev_unpriv_grp_thr +del prev_unpriv_unaware, prev_unpriv_manual + + +# ===================================== +# Section 3.3 Ensemble Pruning +# ===================================== + +# Pareto Optimal Ensemble Pruning via Improving Accuracy and +# Fairness Concurrently (POAF) + + +# ------------------------------------- +# Algorithm 1. +# ------------------------------------- + + +# Domination +# (1) G_A \succeq G_B aka. GA[0]<=GB[0] and GA[1]<=GB[1] +# (2) G_A \succ G_B aka. GA[0]< GB[0] and GA[1]<=GB[1] +# or GA[0]<=GB[0] and GA[1]< GB[1] +# (3) G_B \succeq G_A aka. GA[0]>=GB[0] and GA[1]>=GB[1] +# (4) G_B \succ G_A aka. GA[0]> GB[0] and GA[1]>=GB[1] +# or GA[0]>=GB[0] and GA[1]> GB[1] +# special case: G_A==G_B +# G_A \succeq G_B, but not G_A \succ G_B +# G_B \succeq G_A, but not G_B \succ G_A + +# GA \succeq GB, GB \succeq GC, then GA \succeq GC +# GA \succ GB, GB \succ GC, then GA \succ GC + + +def _weakly_dominate(G_1, G_2): + if G_1[0] <= G_2[0] and G_1[1] <= G_2[1]: + return True + return False + + +def _dominate(G_1, G_2): + if _weakly_dominate(G_1, G_2): + if G_1[0] < G_2[0] or G_1[1] < G_2[1]: + return True + return False + + +def _bi_objectives(G, lam=.5): + # G = (L_fair, L_acc) + return lam * G[0] + (1. - lam) * G[1] + + +def _bi_goals_whole(y, zt, zq, wgt, bf_h): + # aka. G(MVrho) = (L_fair(MV), L_acc(MV)) + # normal way to calculate for individual members + # equiv. `hat_L_objt` + + yt = zt[bf_h].tolist() + yq = zq[bf_h].tolist() + coef = np.array(wgt)[bf_h].tolist() + + fens_t = weighted_voting(yt, coef) # y, + fens_q = weighted_voting(yq, coef) # y, + sub_no1 = hat_L_fair(fens_t, fens_q) + sub_no2 = hat_L_loss(fens_t, y) + return (sub_no1, sub_no2) + + +def _bi_goals_split(y, zt, zq, wgt, bf_h): + # aka. L(MVrho) = lam* +(1-lam)* + # specified definition for ensemble classifiers + # equiv. `cal_L_obj_v1`/`cal_L_obj_v2` + + yt = zt[bf_h].tolist() + yq = zq[bf_h].tolist() + coef = np.array(wgt)[bf_h].tolist() + sub_no1 = Erho_sup_L_fair(yt, yq, coef) + sub_no2 = E_rho_L_loss_f(yt, y, coef) + return sub_no1, sub_no2 + + +def _find_argmin_h(y, zt, zq, wgt, cal_V, lam): + # sub_obj = [_bi_objectives( + # y, zt, zq, wgt, bf_v, lam) for bf_v in cal_V] + # sub_obj = [lam * i + (1. - lam) * j for i, j in sub_obj] + if not cal_V: + return -1, [] + + sub_obj = [cal_L_obj_v1(zt[bf_v].tolist(), + zq[bf_v].tolist(), + y, + np.array(wgt)[bf_v].tolist(), + lam) for bf_v in cal_V] + idx_v = sub_obj.index(min(sub_obj)) + return idx_v, sub_obj + + +# Pareto optimal +# seems like: _find_exist_succ == _setminus_succeq +# _find_exist_succeq == _setminus_succ + + +def _setminus_succeq(y, zt, zq, wgt, cal_R, bf_h): + sub_obj = [_bi_goals_whole( + y, zt, zq, wgt, bf_r) for bf_r in cal_R] + sub_H = _bi_goals_whole(y, zt, zq, wgt, bf_h) + idx_not_ = [_weakly_dominate(sub_H, i) for i in sub_obj] + idx_in_R = np.where(np.logical_not(idx_not_))[0] + return idx_in_R.tolist() + + +def _find_exist_succ(y, zt, zq, wgt, cal_H, bf_hp): + sub_obj = [_bi_goals_whole( + y, zt, zq, wgt, bf_h) for bf_h in cal_H] + sub_Hp = _bi_goals_whole(y, zt, zq, wgt, bf_hp) + idx_needs = [_dominate(i, sub_Hp) for i in sub_obj] + idx_needs = np.where(idx_needs)[0] + return idx_needs.tolist() + + +def _setminus_succ(y, zt, zq, wgt, cal_R, bf_h): + sub_obj = [_bi_goals_whole( + y, zt, zq, wgt, bf_r) for bf_r in cal_R] + sub_H = _bi_goals_whole(y, zt, zq, wgt, bf_h) + idx_not_ = [_dominate(sub_H, i) for i in sub_obj] + idx_in_R = np.where(np.logical_not(idx_not_))[0] + return idx_in_R.tolist() + + +def _find_exist_succeq(y, zt, zq, wgt, cal_H, bf_hp): + sub_obj = [_bi_goals_whole( + y, zt, zq, wgt, bf_h) for bf_h in cal_H] + sub_Hp = _bi_goals_whole(y, zt, zq, wgt, bf_hp) + idx_needs = [_weakly_dominate(i, sub_Hp) for i in sub_obj] + idx_needs = np.where(idx_needs)[0] + return idx_needs.tolist() + + +def _randomly_choose(nb_cls, nb_pru): + # H = np.zeros(nb_cls, dtype='int').tolist() + H = np.zeros(nb_cls, dtype='bool').tolist() + while sum(H) < nb_pru: + tmp = np.random.choice(range(nb_cls)) + H[tmp] = True + # H[np.random.choice(range(nb_cls))] = 1 + return H + + +def _hamming_distance(bf_h, bf_hp): + # return np.sum(np.not_equal(bf_h, bf_hp)).tolist() + + # bf_h : list, elements of boolean + # bf_hp: list, elements of boolean + return sum(bf_hp) - sum(bf_h) + + +def _neighbour_sets(bf_h, nb_cls): + # bf_h: list, element {0,1} + # cal_N_neg, cal_N_pos = [], [] + idx_in_H = np.where(bf_h)[0].tolist() + idx_not_ = np.where(np.logical_not(bf_h))[0].tolist() + + N_neg, N_pos = [], [] + for i in bf_h: + if i: + N_neg.append(deepcopy(bf_h)) + else: + N_pos.append(deepcopy(bf_h)) + + # mathcal{N}_-(H) + # N_neg = [deepcopy(bf_h) for i in bf_h if i] + if len(idx_in_H) <= 1: + N_neg = [] + for hs, k in zip(N_neg, idx_in_H): + hs[k] = False # 0 + + # mathcal{N}_+(H) + # N_pos = [deepcopy(bf_h) for i in bf_h if not i] + if len(idx_in_H) >= nb_cls: + N_pos = [] + for hs, k in zip(N_pos, idx_not_): + hs[k] = True # 1 + + return N_neg + N_pos # list,(nb_cls,nb_cls) + + +def neighbour_neg(bf_h, nb_cls, dist=1): + idx = np.where(bf_h)[0].tolist() + if len(idx) <= 1: + return [], list() # tuple() + elif dist >= len(idx): + return [], list() # tuple() + + # N_neg = [deepcopy(bf_h) for i in bf_h if i] + # loc = list(permutations(idx, dist)) + loc = list(combinations(idx, dist)) + + N_neg = [deepcopy(bf_h) for _ in loc] + for k, tmp in enumerate(loc): + for v in tmp: + N_neg[k][v] = False + return N_neg, loc + + +def neighbour_pos(bf_h, nb_cls, dist=1): + idx = np.where(bf_h)[0].tolist() + if len(idx) >= nb_cls: + return [], list() + elif nb_cls - len(idx) <= dist: + return [], list() + + # N_pos = [deepcopy(bf_h) for i in bf_h if not i] + idx = np.where(np.logical_not(bf_h))[0].tolist() + # loc = list(permutations(idx, dist)) + loc = list(combinations(idx, dist)) + + N_pos = [deepcopy(bf_h) for _ in loc] + for k, tmp in enumerate(loc): + for v in tmp: + N_pos[k][v] = True + return N_pos, loc + + +def find_nbor_neg(bf_h, nb_cls, dist=2): + T_neg, _ = neighbour_neg(bf_h, nb_cls, dist) + + cal_T_neg = [] + for bf_r in T_neg: + tmp, _ = neighbour_pos(bf_r, nb_cls, dist) + # idx_in_T = [i == bf_h for i in tmp] + idx_in_T = [i not in cal_T_neg for i in tmp] + tmp = [tmp[k] for k, i in enumerate(idx_in_T) if i] + cal_T_neg.extend(tmp) + + return cal_T_neg + + +def find_nbor_pos(bf_h, nb_cls, dist=2): + T_pos, _ = neighbour_pos(bf_h, nb_cls, dist) + + cal_T_pos = [] + for bf_r in T_pos: + tmp, _ = neighbour_neg(bf_r, nb_cls, dist) + idx_in_T = [i not in cal_T_pos for i in tmp] + tmp = [tmp[k] for k, i in enumerate(idx_in_T) if i] + cal_T_pos.extend(tmp) + + return cal_T_pos + + +# Ensemble pruning + + +def _pareto_sub_neighbor_v1(bf_h, nb_cls): + cal_R = _neighbour_sets(bf_h, nb_cls) + + cal_T = [] + for bf_r in cal_R: + tmp = _neighbour_sets(bf_r, nb_cls) + idx_in_T = [i not in cal_T for i in tmp] + tmp = [tmp[k] for k, i in enumerate(idx_in_T) if i] + cal_T.extend(tmp) + # cal_T: list, at most (nb_cls**2) elements + + idx_in_T = [i not in cal_R for i in cal_T] + cal_T = [cal_T[k] for k, i in enumerate(idx_in_T) if i] + cal_R.extend(cal_T) + return cal_R + + +def _pareto_sub_neighbor_v2(bf_h, nb_cls, dist=1): + cal_R = [deepcopy(bf_h)] + # cal_T_neg, cal_T_pos = [], [] + cal_T_neg = find_nbor_neg(bf_h, nb_cls, dist) + cal_T_pos = find_nbor_pos(bf_h, nb_cls, dist) + + idx_in_T = [i not in cal_R for i in cal_T_neg] + cal_T_neg = [cal_T_neg[k] for k, i in enumerate(idx_in_T) if i] + cal_R.extend(cal_T_neg) + idx_in_T = [i not in cal_R for i in cal_T_pos] + cal_T_pos = [cal_T_pos[k] for k, i in enumerate(idx_in_T) if i] + cal_R.extend(cal_T_pos) + return cal_R + + +def _pareto_sub_neighbor_v5(bf_h, nb_cls): + cal_R = [deepcopy(bf_h)] + T_neg = find_nbor_neg(bf_h, nb_cls, 1) + T_pos = find_nbor_pos(bf_h, nb_cls, 1) + + cal_T_neg, cal_T_pos = [], [] + for bf_r in T_neg: + tmp = find_nbor_pos(bf_r, nb_cls, 1) + idx_in_T = [i not in cal_T_neg for i in tmp] + tmp = [tmp[k] for k, i in enumerate(idx_in_T) if i] + cal_T_neg.extend(tmp) + + tmp = find_nbor_neg(bf_r, nb_cls, 1) + idx_in_T = [i not in cal_T_neg for i in tmp] + tmp = [tmp[k] for k, i in enumerate(idx_in_T) if i] + cal_T_neg.extend(tmp) + + for bf_r in T_pos: + tmp = find_nbor_neg(bf_r, nb_cls, 1) + idx_in_T = [i not in cal_T_pos for i in tmp] + tmp = [tmp[k] for k, i in enumerate(idx_in_T) if i] + cal_T_pos.extend(tmp) + + tmp = find_nbor_pos(bf_r, nb_cls, 1) + idx_in_T = [i not in cal_T_pos for i in tmp] + tmp = [tmp[k] for k, i in enumerate(idx_in_T) if i] + cal_T_pos.extend(tmp) + + idx_in_T = [i not in cal_R for i in cal_T_neg] + cal_T_neg = [cal_T_neg[k] for k, i in enumerate(idx_in_T) if i] + cal_R.extend(cal_T_neg) + idx_in_T = [i not in cal_R for i in cal_T_pos] + cal_T_pos = [cal_T_pos[k] for k, i in enumerate(idx_in_T) if i] + cal_R.extend(cal_T_pos) + return cal_R + + +def find_index_in_V(cal_R): + li = list(map(lambda x: np.where(x)[0].tolist(), cal_R)) + # return list(map(tuple, li)) + return sorted(map(tuple, li)) + + +def _pareto_sub_neighbor_v3a(bf_h, nb_cls, nb_pru): + idx = list(range(nb_cls)) + perm = list(permutations(idx, nb_pru)) + cal_V = [tuple(sorted(i)) for i in perm] + # cal_V = list(set(cal_V)) + cal_V = list(sorted(set(cal_V))) + cal_R = [np.zeros( + nb_cls, dtype='bool').tolist() for _ in range(len(cal_V))] + for k, tmp in enumerate(cal_V): + for v in tmp: + cal_R[k][v] = True + idx_in_R = [i == bf_h for i in cal_R] + return [cal_R[k] for k, i in enumerate(idx_in_R) if not i] + + +def _pareto_sub_neighbor_v3b(bf_h, nb_cls, nb_pru): + idx = list(range(nb_cls)) + comb = list(combinations(idx, nb_pru)) + cal_R = [np.zeros( + nb_cls, dtype='bool').tolist() for _ in range(len(comb))] + for k, tmp in enumerate(comb): + for v in tmp: + cal_R[k][v] = True + idx_in_R = [i == bf_h for i in cal_R] + return [cal_R[k] for k, i in enumerate(idx_in_R) if not i] + + +def _pareto_sub_moveout_v4(y, zt, zq, wgt, cal_R): + cal_H = [] + while cal_R: + # i_hp = np.random.choice(range(len(cal_R))) + i_hp = np.random.randint(len(cal_R)) + bf_hp = cal_R[i_hp] + del cal_R[i_hp] + + idx_in_Q = _find_exist_succ(y, zt, zq, wgt, cal_R, bf_hp) + if not idx_in_Q: + cal_H.append(deepcopy(bf_hp)) + idx_in_R = _setminus_succ(y, zt, zq, wgt, cal_R, bf_hp) + cal_R = [cal_R[i] for i in idx_in_R] + return cal_H + + +def Pareto_Optimal_EPAF_Pruning(y, yt, yq, wgt, nb_pru, lam, dist=1): + # default: dist=2 + nb_cls = len(wgt) + zt, zq = np.array(yt), np.array(yq) + bf_h = _randomly_choose(nb_cls, nb_pru) + # cal_H = [deepcopy(bf_h)] + cal_R = _pareto_sub_neighbor_v2(bf_h, nb_cls, dist) + cal_H = _pareto_sub_moveout_v4(y, zt, zq, wgt, cal_R) + if not cal_H: + return np.where(bf_h).tolist() + idx_v, _ = _find_argmin_h(y, zt, zq, wgt, cal_H, lam) # ,sub_obj + H = cal_H[idx_v] + return np.where(H)[0].tolist() + + +# ===================================== +# Appendix B. +# TWO EXTRA EASILY-IMPLEMENTED PRUNING METHODS +# ===================================== + +# Ensemble Pruning via Improving Accuracy and Fairness +# Concurrently aka. EPAF (with Centralised/Distributed ver.) + + +# ------------------------------------- +# Algorithm 2. +# Centralised Version (EPAF-C) +# ------------------------------------- + +# 1. H= an arbitrary individual member f_i\in F +# 2. for i=2 to k do +# 3. f*= argmin_{f_i\in F\H} sum_{f_j\in H} hat_L(fi,fj,S) +# 4. Move f* from F to H +# 5. end for + + +def _tandem_obj_sum(fa, fa_q, Fb, Fb_q, wgt, y, lam): + ans = 0. + for fb, fb_q, c in zip(Fb, Fb_q, wgt): + ans += c * tandem_objt(fa, fa_q, fb, fb_q, y, lam) + return ans + + +def _arg_min_p(y, yt, yq, wgt, H, lam): + # sum_j_in_H [pos/qtb] + Fb = yt[H].tolist() + Fb_q = yq[H].tolist() + coef = [i for i, j in zip(wgt, H) if j] + + idx_i_not_H = np.where(np.logical_not(H))[0] + if len(idx_i_not_H) == 0: + return -1 + + ans = [_tandem_obj_sum( + yt[i], yq[i], Fb, Fb_q, + coef, y, lam) for i in idx_i_not_H] + idx_i = ans.index(np.min(ans)) + idx = idx_i_not_H[idx_i] + + return idx + + +def Centralised_EPAF_Pruning(y, yt, yq, wgt, nb_pru, lam): + nb_cls = len(wgt) + + H = np.zeros(nb_cls, dtype='bool') + p = np.random.randint(0, nb_cls) + H[p] = True + + yt = np.array(yt) + yq = np.array(yq) + for _ in range(1, nb_pru): # for i in + idx = _arg_min_p(y, yt, yq, wgt, H, lam) + + if idx > -1: + H[idx] = True + # return H.tolist() + return np.where(H)[0].tolist() + + +# ------------------------------------- +# Algorithm 3. +# Distributed Version (EPAF-D) +# ------------------------------------- + +# 1. Partition F randomly into n_m groups as equally as possible +# 2. for i=1 to n_m do +# 3. H_i = EPAF-C(F_i, k) +# 4. end for +# 5. H' = EPAF-C(\bigcup_{1<=i<=n_m} H_i, k) +# 6. H = argmin_{\tao\in } hat_L(T, S) + + +def _randomly_partition(n, m): + tmp = np.arange(n) + np.random.shuffle(tmp) + idx = np.zeros(n, dtype='int') + + if n % m == 0: + gap = n // m + for k in range(m): + j = tmp[(k * gap): ((k + 1) * gap)] + idx[j] = k + else: + + floors = int(np.floor(n / m)) + ceilings = int(np.ceil(n / m)) + modulus = n - m * floors # mod: n % m + mumble = m * ceilings - n + + for k in range(modulus): + j = tmp[(k * ceilings): ((k + 1) * ceilings)] + idx[j] = k + + gap = ceilings * modulus + for k in range(mumble): + j = tmp[(k * floors + gap): ((k + 1) * floors + gap)] + idx[j] = k + modulus + + return idx.tolist() + + +def _find_idx_in_sub(i, grp, yt, yq, wgt, y, k, lam): + sub_idx_in_N = np.where(grp == i)[0] + + zt = yt[grp == i].tolist() + zq = yq[grp == i].tolist() + coef = [i for i, j in zip(wgt, grp == i) if j] + sub_idx = Centralised_EPAF_Pruning(y, zt, zq, coef, k, lam) + + # NO NEED. # sub_idx = np.where(sub_idx)[0] + ans = sub_idx_in_N[sub_idx] + return ans + + +def _argmin_Tao(yt, yq, wgt, y, Hs, lam): + # nb_cls = sum(Hs) + # wgt = [1. / nb_cls for _ in range(nb_cls)] + + zt = yt[Hs].tolist() + zq = yq[Hs].tolist() + coef = np.array(wgt)[Hs].tolist() + ans = cal_L_obj_v1(zt, zq, y, coef, lam) + return ans + + +def Distributed_EPAF_Pruning(y, yt, yq, wgt, nb_pru, lam, n_m): + nb_cls = len(yt) + grp = _randomly_partition(n=nb_cls, m=n_m) + grp = np.array(grp) # partitioned groups + H = np.zeros(nb_cls, dtype='int') - 1 + + yt = np.array(yt) + yq = np.array(yq) + + with pp.ProcessingPool(nodes=n_m) as pool: + sub_idx = pool.map(_find_idx_in_sub, + list(range(n_m)), + [grp] * n_m, + [yt] * n_m, + [yq] * n_m, + [wgt] * n_m, + [y] * n_m, + [nb_pru] * n_m, + [lam] * n_m) + sub_idx = list(sub_idx) + for i in range(n_m): + H[sub_idx[i]] = i + del grp + + sub_all_in_N = np.where(H != -1)[0] + zt = yt[H != -1].tolist() + zq = yq[H != -1].tolist() + coef = [i for i, j in zip(wgt, H != -1) if j] + sub_all = Centralised_EPAF_Pruning(y, zt, zq, coef, nb_pru, lam) + sub_all = sub_all_in_N[sub_all] + + del sub_all_in_N + + obj_tmpH = _argmin_Tao(yt, yq, wgt, y, sub_all, lam) + obj_Hs = [_argmin_Tao( + yt, yq, wgt, y, i, lam) for i in sub_idx] + + if np.sum(np.array(obj_Hs) < obj_tmpH) >= 1: + tmp_argmin_l = obj_Hs.index(np.min(obj_Hs)) + sub_all = sub_idx[tmp_argmin_l] + del tmp_argmin_l + + del obj_tmpH, obj_Hs, yt, yq, H + gc.collect() + return sub_all.tolist() + + +# ===================================== +# Section 3.3 Ensemble Pruning (alternative) +# ===================================== + + +# ------------------------------------- +# Algorithm 1. alternative +# ------------------------------------- + + +# Sub-algo 1. preliminary + +_POAF_weakly_ds = _weakly_dominate +_POAF_dominate = _dominate +_POAF_calc_eval = _bi_objectives + + +def _POAF_check_randpick(s, nb_pru=None): + # aka. def _POAF_random_pick() + if sum(s) >= 1: + return s + nb_cls = len(s) + sp = [0 for _ in s] # sp = [0] * nb_cls + sp[np.random.choice(range(nb_cls))] = 1 + if nb_pru is None: + return sp + i = np.random.randint(nb_cls, size=nb_pru - 1) + for j in i: + sp[j] = 1 + return sp + + +def _POAF_check_flipping(s, nb_pru=None): + sp = _PEP_flipping_uniformly(s) + if sum(sp) > 0: + return sp + nb_cls = len(s) + sp[np.random.choice(range(nb_cls))] = 1 + if nb_pru is None: + return sp + i = np.random.randint(nb_cls, size=nb_pru - 1) + for j in i: + sp[j] = 1 + return sp + + +def _POAF_bi_objects(y, zt, zq, wgt, s): + # aka. def _bi_goals_whole() + # but not quite the same exactly + bf_h = np.array(s, dtype='bool') # DTY_BOL) + + yt = zt[bf_h].tolist() + yq = zq[bf_h].tolist() + coef = np.array(wgt)[bf_h].tolist() + + fens_t = weighted_voting(yt, coef) # y, + fens_q = weighted_voting(yq, coef) # y, + sub_no1 = hat_L_loss(fens_t, y) + sub_no2 = hat_L_fair(fens_t, fens_q) + return (sub_no1, sub_no2) + + +def _POAF_obj_eval(y, zt, zq, wgt, s, lam): + # aka. def _bi_goals_split() + # but not quite the same exactly + bf_h = np.array(s, dtype='bool') # DTY_BOL) + if np.sum(bf_h) < 1: + return 1, (1, 1) + # namely, def _POAF_eval() + + yt = zt[bf_h].tolist() + yq = zq[bf_h].tolist() + coef = np.array(wgt)[bf_h].tolist() + + sub_no1 = E_rho_L_loss_f(yt, y, coef) + sub_no2 = Erho_sup_L_fair(yt, yq, coef) + G_mv = (sub_no1, sub_no2) + + ans = _POAF_calc_eval(G_mv, lam) + return ans, G_mv + + +# Sub-algo 2. (VDS Subroutine) +# +# Given a pseudo-Boolean function f and a solution \mathbf{s}, it +# contains: +# +# 1. Q= \emptyset, L= \emptyset +# 2. Let N(.) denote the set of neighbor solutions of a binary +# vector with Hamming distance 1. +# 3. While V_s={ y\in N(s)| (y_i\neq s_i ==> i\nin L)} \neq \emptyset +# 4. Choose y\in V_s with the minimal f value +# 5. Q= Q\bigcup {y} +# 6. L= L\bigcup {i| y_i\neq s_i} +# 7. s = y +# 8. Output Q. +# + + +def POAF_VDS(y, zt, zq, wgt, s, lam): + nb_cls = len(wgt) + QL = np.zeros(nb_cls, dtype='bool') + sp = deepcopy(s) + Q, L = [], [] + while np.sum(QL) < nb_cls: + Ns = [deepcopy(sp) for i in range(nb_cls)] + for i in range(nb_cls): + Ns[i][i] = 1 - Ns[i][i] + Ns = np.array(Ns) + + idx_Vs = np.where(np.logical_not(QL))[0] + Vs = Ns[idx_Vs].tolist() + + obj_f = [_POAF_obj_eval(y, zt, zq, wgt, i, lam)[0] for i in Vs] + idx_f = obj_f.index(np.min(obj_f)) + yp = Vs[idx_f] + + Q.append(deepcopy(yp)) + L.append(int(idx_Vs[idx_f])) + QL[idx_Vs[idx_f]] = True + + sp = deepcopy(yp) + del Ns, idx_Vs, Vs, obj_f, idx_f, yp + del QL + return deepcopy(Q), deepcopy(L) # np.ndarray + + +# Sub-algo 1. (PEP) +# +# Given a set of trained classifiers H={h_i}_{i=1}^n, an objective f: +# 2^H ->\mathbb{R}, and an evaluation criterion eval, it contains: +# +# 1. Let $\mathbf{g}(s)=(f(H_s),|s|) be the bi-objective. +# 2. Let s=randomly selected from {0,1}^n and P={s}. +# 3. Repeat +# 4. Select s\in P uniformly at random. +# 5. Generate s' by flipping each bit of s with prob. 1/n. +# 6. if \nexists z\in P such that z\succ_g (s') +# 7. P=(P- {z\in P| s'\succeq_g z}) \bigcup {s'} +# 8. Q= VDS(f,s') +# 9. for q\in Q +# 10. if \nexists z\in P such that z\succ_g q +# 11. P=(P- {z\in P| q\succeq_g z}) \bigcup {q} +# 12. Output argmin_{s\in P} eval(s) +# + + +def POAF_if_nexists_succ(y, zt, zq, wgt, P, sp): + # aka. sp/q + g_sp = _POAF_bi_objects(y, zt, zq, wgt, sp) + for z in P: + g_z = _POAF_bi_objects(y, zt, zq, wgt, z) + if _POAF_dominate(g_z, g_sp): + return True, deepcopy(z) + return False, [] + + +def POAF_refresh_succeq(y, zt, zq, wgt, P, sp): + # aka. sp/q + g_sp = _POAF_bi_objects(y, zt, zq, wgt, sp) + all_z_in_P = [_POAF_bi_objects(y, zt, zq, wgt, i) for i in P] + all_z_in_P = [_POAF_weakly_ds(g_sp, i) for i in all_z_in_P] + idx = np.where(np.logical_not(all_z_in_P))[0] + P = [P[i] for i in idx] + P.append(deepcopy(sp)) + return P, idx + + +def POAF_check_item_empty(P): + # aka. POAF_check_empty() + # need_to_del = [np.sum(t) == 0 for t in P] + need_to_del = [sum(t) == 0 for t in P] + return [v for k, v in zip(need_to_del, P) if not k] + + +def POAF_PEP(y, yt, yq, wgt, lam, nb_pru): + nb_cls = len(wgt) + rho = float(nb_pru) / nb_cls + zt, zq = np.array(yt), np.array(yq) + + s = np.random.randint(2, size=nb_cls).tolist() + s = _POAF_check_randpick(s, nb_pru) # _POAF_check_randpick(s) + P = [deepcopy(s)] + + nb_cnt = int(np.ceil(rho * nb_cls)) + # nb_cnt = max([nb_cnt, nb_pru, nb_pru + 1]) + while nb_cnt > 0: + idx = np.random.randint(len(P)) + s0 = P[idx] + sp = _POAF_check_flipping( + s0, nb_pru) # _PEP_flipping_uniformly(s0) + + signal_1, _ = POAF_if_nexists_succ(y, zt, zq, wgt, P, sp) + + if not signal_1: + P, _ = POAF_refresh_succeq(y, zt, zq, wgt, P, sp) + P = POAF_check_item_empty(P) + + Q, _ = POAF_VDS(y, zt, zq, wgt, sp, lam) + # IF sum(sp)==1, then it will get bug + Q = POAF_check_item_empty(Q) + for q in Q: + signal_3, _ = POAF_if_nexists_succ( + y, zt, zq, wgt, P, q) + + if not signal_3: + P, _ = POAF_refresh_succeq(y, zt, zq, wgt, P, q) + P = POAF_check_item_empty(P) + + # del signal_3, g_q + # del q, Q + # del signal_1, g_sp, sp, s0, idx + nb_cnt -= 1 + del nb_cnt, s + + P = POAF_check_item_empty(P) + obj_eval = [_POAF_obj_eval(y, zt, zq, wgt, t, lam)[0] for t in P] + idx_eval = obj_eval.index(min(obj_eval)) + s = P[idx_eval] + + del P, obj_eval, idx_eval + seq = np.where(np.array(s) == 1)[0] + return seq.tolist() + + +# ------------------------------------- +# ------------------------------------- + + +# ===================================== +# Algorithm 4. +# Ranking based (different fairness measures) +# ===================================== + + +def Ranking_based_criterion(y, hx, f_qtb, lam, criteria="DR", + # pos=1, idx_priv=list()): + pos=1, idx_priv=tuple()): + if criteria == "DR": + l_fair = hat_L_fair(hx, f_qtb) + l_acc_ = hat_L_loss(hx, y) + return lam * l_acc_ + (1. - lam) * l_fair + + _, _, gones_Cm, gzero_Cm = marginalised_pd_mat(y, hx, pos, + idx_priv) + if criteria == "unaware": + g1, g0 = unpriv_unaware(gones_Cm, gzero_Cm) + elif criteria == "DP": + g1, g0 = unpriv_group_one(gones_Cm, gzero_Cm) + elif criteria == "EO": + g1, g0 = unpriv_group_two(gones_Cm, gzero_Cm) + elif criteria == "PQP": + g1, g0 = unpriv_group_thr(gones_Cm, gzero_Cm) + elif criteria == "manual": + g1, g0 = unpriv_manual(gones_Cm, gzero_Cm) + else: + raise ValueError("Wrong criteria `{}`".format(criteria)) + return abs(g1 - g0) + + +def Ranking_based_fairness_Pruning(y, yt, yq, nb_pru, lam, + criteria="DR", pos=1, + # idx_priv=list()): + idx_priv=tuple()): + nb_cls = len(yt) # len(wgt) + rank_val = list(map(Ranking_based_criterion, + [y] * nb_cls, yt, yq, + # yt.tolist(), yq.tolist(), + [lam] * nb_cls, [criteria] * nb_cls, + [pos] * nb_cls, [idx_priv] * nb_cls)) + + # U = np.array([rank_val]) + # rank_idx = _Friedman_sequential(U, mode='ascend', dim=2) + # idx_bar = _Friedman_successive(U, rank_idx) + + rank_idx = _Friedman_sequential( + [rank_val], mode='ascend', dim=2)[0] + H = rank_idx <= nb_pru + return H.tolist(), rank_idx.tolist() + + +# ------------------------------------- +# Algorithm 4. +# ------------------------------------- diff --git a/pyfair/dr_hfm/earlybreak.py b/pyfair/dr_hfm/earlybreak.py new file mode 100644 index 0000000..145f57b --- /dev/null +++ b/pyfair/dr_hfm/earlybreak.py @@ -0,0 +1,137 @@ +# coding: utf-8 +# +# Reference: +# Taha AA, Hanbury A. An efficient algorithm for calculating the +# exact Hausdorff distance. IEEE transactions on pattern analysis +# and machine intelligence. 2015 Mar 3;37(11):2153-63. +# + + +import numpy as np +import numba +from pyfair.dr_hfm.dist_drt import DistDirect_Euclidean +from pyfair.facil.utils_timer import fantasy_timer + + +# ========================================== +# An efficient algorithm for calculating the exact Hausdorff distance + + +# Algorithm 1. NAIVEHDD +# Straightfowardly computes the directed Hausdorff distance + +@numba.jit(nopython=True) +def NaiveHDD(A, B): + cmax = 0 + for ele_x in A: + cmin = float(np.finfo(np.float32).max) + for ele_y in B: + d = DistDirect_Euclidean(ele_x, ele_y) + if d < cmin: + cmin = d + if cmin > cmax: + cmax = cmin + return cmax + + +# Early Breaking + +# Algorithm 3. RANDOMIZE +# Finds a random order of a given point set + +def HDD_randomize(S): + m = len(S) + ind = list(range(m)) + for p in range(m): + q = np.random.choice(ind) + if q == p: + continue + tmp = ind[p] + ind[p] = ind[q] + ind[q] = tmp + return ind + + +# Algorithm 2. EARLYBREAK +# Computes the directed HDD using the Early Break technique and +# the Random Sampling + +def HDD_earlybreak(A, B): + cmax = 0 + Er_ind = HDD_randomize(A) + Br_ind = HDD_randomize(B) + Er = A[Er_ind] + Br = B[Br_ind] + + for ele_x in Er: + cmin = float(np.finfo(np.float32).max) + for ele_y in Br: + d = DistDirect_Euclidean(ele_x, ele_y) + if d < cmin: + cmin = d + if d < cmax: + break + + if cmin > cmax: + cmax = cmin + return cmax + + +# ========================================== +# NaiveHDD & EarlyBreak (aka. EffHDD) + + +@fantasy_timer +def EffHD_bin(X_nA_y, idx_Si): + Sj, Sj_c = X_nA_y[idx_Si], X_nA_y[~idx_Si] + half_1 = HDD_earlybreak(Sj, Sj_c) + half_2 = HDD_earlybreak(Sj_c, Sj) + return max(half_1, half_2) + + +@fantasy_timer +@numba.jit(nopython=True) +def Naive_bin(X_nA_y, idx_Si): + Sj, Sj_c = X_nA_y[idx_Si], X_nA_y[~idx_Si] + half_1 = NaiveHDD(Sj, Sj_c) + half_2 = NaiveHDD(Sj_c, Sj) + return max(half_1, half_2) + + +@fantasy_timer +def EffHD_nonbin(X_nA_y, idx_Sjs): + cmax = 0 + for idx_Si in idx_Sjs: + Sj, Sj_c = X_nA_y[idx_Si], X_nA_y[~idx_Si] + half_1 = HDD_earlybreak(Sj, Sj_c) + if half_1 > cmax: + cmax = half_1 + return cmax + + +@fantasy_timer +def EffHD_multivar(X_nA_y, idx_Ai_Sj): + half_mid = [EffHD_nonbin( + X_nA_y, idx_Sjs) for idx_Sjs in idx_Ai_Sj] + half_mid, half_ut = zip(*half_mid) + return max(half_mid), (half_mid, half_ut) + + +@fantasy_timer +# @numba.jit(nopython=True) # @numba.njit +def Naive_nonbin(X_nA_y, idx_Sjs): + cmax = 0 + for idx_Si in idx_Sjs: + Sj, Sj_c = X_nA_y[idx_Si], X_nA_y[~idx_Si] + half_1 = NaiveHDD(Sj, Sj_c) + if half_1 > cmax: + cmax = half_1 + return cmax + + +@fantasy_timer +def Naive_multivar(X_nA_y, idx_Ai_Sj): + half_mid = [Naive_nonbin( + X_nA_y, idx_Sjs) for idx_Sjs in idx_Ai_Sj] + half_mid, half_ut = zip(*half_mid) + return max(half_mid), (half_mid, half_ut) diff --git a/pyfair/dr_hfm/hfm_df.py b/pyfair/dr_hfm/hfm_df.py new file mode 100644 index 0000000..7d922f8 --- /dev/null +++ b/pyfair/dr_hfm/hfm_df.py @@ -0,0 +1,66 @@ +# coding: utf-8 +# Usage: to measure the bias level within one classifier +# +# Author: Yj +# 1. Does Machine Bring in Extra Bias in Learning? Approximating Fairness +# in Models Promptly [https://arxiv.org/abs/2405.09251 arXiv] +# 2. Approximating Discrimination Within Models When Faced With Several +# Non-Binary Sensitive Attributes [https://arxiv.org/abs/2408.06099] +# + + +import numpy as np +from pyfair.facil.utils_timer import fantasy_timer +from pyfair.facil.utils_const import check_zero + + +# ============================================= +# Estimated distance between sets + + +# --------------------------------------------- +# Algorithm 2 +# Algorithm 1 + + +# ============================================= +# Harmonic fairness measure via manifolds (HFM) + + +# --------------------------------------------- +# 1. https://arxiv.org/abs/2405.09251 + + +@fantasy_timer +def bias_degree_bin(Dy_dis, Df_dis): + if (Dy_dis == 0) and (Df_dis == 0): + tmp = 1. + else: + tmp = Df_dis / check_zero(Dy_dis) + return tmp - 1. + + +# --------------------------------------------- +# 2. https://arxiv.org/abs/2408.06099 + + +@fantasy_timer +def bias_degree_nonbin(Dy_dis, Df_dis): + if (Dy_dis == 0) and (Df_dis == 0): + tmp = 1. + else: + tmp = Df_dis / check_zero(Dy_dis) + tmp = check_zero(tmp) + return np.log10(tmp) + + +# --------------------------------------------- + + +@fantasy_timer +def bias_degree(Dy_dis, Df_dis): + if (Dy_dis == 0) and (Df_dis == 0): + tmp = 1. + else: + tmp = Df_dis / check_zero(Dy_dis) + return tmp - 1., np.log10(check_zero(tmp)) diff --git a/pyfair/dr_hfm/hfm_df_test.py b/pyfair/dr_hfm/hfm_df_test.py new file mode 100644 index 0000000..ab577bb --- /dev/null +++ b/pyfair/dr_hfm/hfm_df_test.py @@ -0,0 +1,100 @@ +# coding: utf-8 +# +# Usage: to measure the bias level within one classifier +# + + +import numpy as np +# import pdb +from pyfair.dr_hfm.hfm_df import bias_degree_bin, bias_degree_nonbin + +from pyfair.dr_hfm.earlybreak import ( + EffHD_bin, EffHD_nonbin, EffHD_multivar, + Naive_bin, Naive_nonbin, Naive_multivar, + NaiveHDD, HDD_earlybreak, HDD_randomize) +from pyfair.dr_hfm.dist_drt import ( + DirectDist_bin, DirectDist_nonbin, DirectDist_multiver) +from pyfair.facil.utils_const import check_equal + + +def test_bias_level(): + res = bias_degree_bin(0, 0) + ans = bias_degree_bin(0, 1e-7) + # pdb.set_trace() + assert res[0] == 0 + assert ans[0] >= 0 + + res = bias_degree_nonbin(0, 0) + ans_1 = bias_degree_nonbin(0, 1e-7) + ans_2 = bias_degree_nonbin(0, 1e7) + assert res[0] == 0 + assert ans_1[0] >= 0 + assert ans_2[0] >= 0 + return + + +# ------------------------------------------ + + +def test_hausdorff(): + n, nd, nb = 110, 4, 56 + A = np.random.rand(nb, nd) + B = np.random.rand(n - nb, nd) + + ind = HDD_randomize(A) + assert len(set(ind)) == nb + ans = NaiveHDD(A, B) + res = HDD_earlybreak(A, B) + + assert check_equal(ans, res) + assert ans == res + return + + +def test_earlybreak(): + n, nd = 110, 4 + X_nA_y = np.random.rand(n, 1 + nd) + idx_Si = np.random.randint(2, size=n, dtype='bool') + Si = X_nA_y[idx_Si] + Si_c = X_nA_y[~idx_Si] + assert len(Si) + len(Si_c) == n + + A_j = np.zeros((n, 2)) + idx_Sj = np.random.randint(3, size=n) + A_j[:, 0] = idx_Sj + idx_Sjs = [idx_Sj == 1, idx_Sj == 0, idx_Sj == 2] + idx_Sk = np.random.randint(4, size=n) + A_j[:, 1] = idx_Sk + idx_Sks = [idx_Sk == 1, idx_Sk == 0, idx_Sk == 2, idx_Sk == 3] + idx_Ai_Sj = [idx_Sjs, idx_Sks] + del idx_Sj, idx_Sk, idx_Sks + + ans = DirectDist_bin(X_nA_y, idx_Si) + tmp = Naive_bin(X_nA_y, idx_Si) + res = EffHD_bin(X_nA_y, idx_Si) + # pdb.set_trace() + assert check_equal(ans[0][0], [tmp[0], res[0]]) + + ans = DirectDist_nonbin(X_nA_y, idx_Sjs) + tmp = Naive_nonbin(X_nA_y, idx_Sjs) + res = EffHD_nonbin(X_nA_y, idx_Sjs) + # pdb.set_trace() + assert check_equal(ans[0][0], [tmp[0], res[0]]) + # ''' + # (Pdb) tmp (0.6579016325539099, 0.1144411563873291) + # (Pdb) res (0.6579016325539099, 0.0027289390563964844) + # + # (Pdb) tmp (0.5805998775010773, 0.0011272430419921875) + # (Pdb) res (0.5805998775010773, 0.0023679733276367188) + # (Pdb) ans ((0.5805998775010773, 0.30795127445857207), 0.0011289119720458984) + # ''' + + ans = DirectDist_multiver(X_nA_y, idx_Ai_Sj) + tmp = Naive_multivar(X_nA_y, idx_Ai_Sj) + res = EffHD_multivar(X_nA_y, idx_Ai_Sj) + # pdb.set_trace() + ans = (ans[0][:-1], ans[1]) + tmp = (tmp[0][0], tmp[1]) + res = (res[0][0], res[1]) + assert check_equal(ans[0][0], [tmp[0], res[0]]) + return diff --git a/pyfair/facil/__init__.py b/pyfair/facil/__init__.py new file mode 100644 index 0000000..fe1e613 --- /dev/null +++ b/pyfair/facil/__init__.py @@ -0,0 +1,44 @@ +# coding: utf-8 +# pyfair.plain. + + +from pyfair.facil.utils_saver import elegant_print, get_elogger +from pyfair.facil.utils_timer import ( + fantasy_timer, fantasy_durat, elegant_durat, elegant_dated) + +from pyfair.facil.ensem_voting import ( + plurality_voting, majority_voting, weighted_voting) +from pyfair.facil.metric_cont import ( + contingency_tab_bi, contg_tab_mu_type3, contg_tab_mu_merge, + contg_tab_mu_type2, contg_tab_mu_type1) +from pyfair.facil.data_split import ( + sklearn_k_fold_cv, sklearn_stratify, manual_cross_valid, + manual_repetitive, scale_normalize_helper, scale_normalize_data) + + +__all__ = [ + 'weighted_voting', + 'plurality_voting', + 'majority_voting', + + 'elegant_print', + 'get_elogger', + + 'fantasy_timer', + 'fantasy_durat', + 'elegant_durat', + 'elegant_dated', + + 'manual_cross_valid', + 'manual_repetitive', + 'scale_normalize_helper', + 'scale_normalize_data', + 'sklearn_k_fold_cv', + 'sklearn_stratify', + + 'contingency_tab_bi', + 'contg_tab_mu_type3', + 'contg_tab_mu_merge', + 'contg_tab_mu_type2', + 'contg_tab_mu_type1', +] diff --git a/pyfair/facil/data_split.py b/pyfair/facil/data_split.py new file mode 100644 index 0000000..7670511 --- /dev/null +++ b/pyfair/facil/data_split.py @@ -0,0 +1,570 @@ +# coding: utf-8 +# Author: Yijun +# +# Target: +# Split data for experiments +# Split one dataset into "training/validation/test" datasets +# +# Research and Applications of Diversity in Ensemble Classification +# Oracle bounds regarding fairness for weighted voting +# + + +from copy import deepcopy +import gc +import numpy as np + +from sklearn import preprocessing +from sklearn import model_selection + +gc.enable() + + +# ================================= +# split the data by sklearn +# ================================= + + +# Split situations 2 & 3 +# Cross-Validation (CV) +# ------------------------------------- +# different ways to split data + + +# split the data + + +def sklearn_k_fold_cv(num_cv, y): + kf = model_selection.KFold(n_splits=num_cv) + kf.get_n_splits(y) # kf.get_n_splits(X, y) + # rkf = model_selection.RepeatedKFold( + # n_splits=num_cv, n_repeats=2) + split_idx = [] + for trn, tst in kf.split(y): + # split_idx.append((i_trn, i_tst)) + split_idx.append([trn.tolist(), tst.tolist()]) + return split_idx # element: np.ndarray + + +def sklearn_stratify(num_cv, y, X): + skf = model_selection.StratifiedKFold(n_splits=num_cv) + skf.get_n_splits(X, y) + split_idx = [] + for trn, tst in skf.split(X, y): + split_idx.append([trn.tolist(), tst.tolist()]) + return split_idx # element: not np.ndarray + + +# @numba.jit(nopython=True) +def manual_repetitive(nb_cv, y, gen=False): + num = len(y) + if not gen: + split_idx = [list(range(num)) for _ in range(nb_cv)] + for i in range(nb_cv): + np.random.shuffle(split_idx[i]) + return split_idx + split_idx = [np.random.randint( + num, size=num).tolist() for _ in range(nb_cv)] + return split_idx + + +# data regularisation +# preprocessing for feature normalisation +# ---------------------------------- + + +def scale_normalize_helper(scale_type): + assert scale_type in [ + "standard", "min_max", "min_abs", "normalize", + "normalise", + ], LookupError("Correct the `scale_type` please.") + + if scale_type == "min_max": # min_max_scaler + scaler = preprocessing.MinMaxScaler() + elif scale_type == "min_abs": # max_abs_scaler + scaler = preprocessing.MaxAbsScaler() + elif scale_type in ["normalize", "normalise"]: + # pdb.set_trace() # normaliser + scaler = preprocessing.Normalizer() + else: + scaler = preprocessing.StandardScaler() + return scaler + + +def scale_normalize_data(scaler, X_trn, X_val, X_tst): + # def scale_normalize_data(): + # scaler = scale_normalize_helper(scale_type) + # scaler.fit(X_trn) # id(scaler) would not change + scaler = scaler.fit(X_trn) # .fit_transform() + X_trn = scaler.transform(X_trn) + X_val = [] if not X_val else scaler.transform(X_val) + X_tst = scaler.transform(X_tst) + X_trn, X_tst = X_trn.tolist(), X_tst.tolist() + X_val = X_val.tolist() if len(X_val) > 0 else [] + return scaler, X_trn, X_val, X_tst # deepcopy + + +# get splited datasets + + +def get_splited_set_acdy(X, y, split_idx_item): + # def according_index_split_train_valid_test(): + # X, y: np.ndarray + idx_trn, idx_val, idx_tst = split_idx_item + X_trn, y_trn = X[idx_trn], y[idx_trn] + X_tst, y_tst = X[idx_tst], y[idx_tst] + X_val, y_val = [], [] + if len(idx_val) > 0: + X_val = X[idx_val].tolist() + y_val = y[idx_val].tolist() + return X_trn.tolist(), X_val, X_tst.tolist(), \ + y_trn.tolist(), y_val, y_tst.tolist() + + +# ================================= +# split the data (cross validation) manually +# ================================= + + +def _sub_sp_indices(y): + y = np.array(y) + vY = np.unique(y).tolist() + dY = len(vY) + iY = [np.where(y == j)[0] for j in vY] # indices + lY = [len(j) for j in iY] # length + # tY = [np.arange(j) or np.copy(j) for j in lY] + # tY = deepcopy(iY) # tY = iY.copy() + tY = [deepcopy(j) for j in iY] # tmp_index + for j in tY: + np.random.shuffle(j) + tmp_idx = [np.arange(j) for j in lY] + return dY, iY, lY, tY, tmp_idx # CC=5 + + +# def _sub_sp_2sets(lY, iY, dY, tmp_idx, nb_cv, +# pr_trn): # nb_y, pr_trn): +def _sub_sp_2sets(dY, iY, tmp_idx, sY, + nb_y, nb_tst): + + i_trn = [iY[i][tmp_idx[i][:sY[i]]] for i in range(dY)] + i_tst = [iY[i][tmp_idx[i][sY[i]:]] for i in range(dY)] + i_trn = np.concatenate(i_trn, axis=0).tolist() + i_tst = np.concatenate(i_tst, axis=0).tolist() + + if len(i_tst) == 0: + i_tst = list(set( + np.random.randint(nb_y, size=nb_tst))) + + # tmp = (i_trn, i_tst) + # split_idx.append(tmp) + # del i_trn, i_tst, tmp + return (i_trn, i_tst) # (deepcopy(i_trn), deepcopy(i_tst)) + + +# def _sub_sp_3sets(lY, iY, dY, tmp_idx, nb_cv, +# # nb_y, pr_trn, pr_tst): +# pr_trn, pr_tst): +def _sub_sp_3sets(dY, iY, tmp_idx, sY, + nb_y, nb_tst, nb_val): + + i_trn = [iY[i][tmp_idx[i][: sY[i][0]]] for i in range(dY)] + i_tst = [iY[i][tmp_idx[i][ + sY[i][0]: sY[i][1]]] for i in range(dY)] + i_val = [iY[i][tmp_idx[i][sY[i][1]:]] for i in range(dY)] + i_trn = np.concatenate(i_trn, axis=0).tolist() + i_tst = np.concatenate(i_tst, axis=0).tolist() + i_val = np.concatenate(i_val, axis=0).tolist() + + if len(i_tst) == 0: + i_tst = list(set( + np.random.randint(nb_y, size=nb_tst))) + if len(i_val) == 0: + i_val = list(set( + np.random.randint(nb_y, size=nb_val))) + + # tmp = (i_trn, i_val, i_tst) + # split_idx.append(tmp) + # del i_trn, i_val, i_tst, tmp + return (i_trn, i_val, i_tst) + # return (deepcopy(i_trn), deepcopy(i_val), deepcopy(i_tst)) + + +def _sub_sp_alt_2set(dY, tY, sY): + i_trn, i_tst = [], [] + for i in range(dY): + i_trn.append(tY[i][: sY[i]]) + i_tst.append(tY[i][sY[i]:]) + i_trn = np.concatenate(i_trn, axis=0).tolist() + i_tst = np.concatenate(i_tst, axis=0).tolist() + return (i_trn, i_tst) + + +def _sub_sp_alt_3set(dY, tY, sY): + i_trn, i_val, i_tst = [], [], [] + for i in range(dY): + i_trn.append(tY[i][: sY[i][0]]) + i_tst.append(tY[i][sY[i][0]: sY[i][1]]) + i_val.append(tY[i][sY[i][1]:]) + i_trn = np.concatenate(i_trn, axis=0).tolist() + i_tst = np.concatenate(i_tst, axis=0).tolist() + i_val = np.concatenate(i_val, axis=0).tolist() + return (i_trn, i_val, i_tst) + + +def _sub_sp_alt_cv(dY, tY, sY, k, nb_cv): + i_trn, i_val, i_tst = [], [], [] + for i in range(dY): + k_former = sY[i] * (k - 1) + k_middle = sY[i] * k + k_latter = sY[i] * (k + 1) if k != nb_cv else sY[i] + + i_tst.append(tY[i][k_former: k_middle]) + if k != nb_cv: + i_val.append(tY[i][k_middle: k_latter]) + i_trn.append(np.concatenate([ + tY[i][k_latter:], tY[i][: k_former]], axis=0)) + else: + i_val.append(tY[i][: k_latter]) + i_trn.append(np.concatenate([ + tY[i][k_middle:], + tY[i][k_latter: k_former]], axis=0)) + + i_tst = np.concatenate(i_tst, axis=0).tolist() + i_val = np.concatenate(i_val, axis=0).tolist() + i_trn = np.concatenate(i_trn, axis=0).tolist() + return i_trn, i_val, i_tst + + +# Cross-Validation +# ---------------------------------- + + +def sitch_cross_validation(nb_cv, y, split_type='cv3'): + assert split_type in [ + "cross_valid_v3", "cross_valid_v2", "cross_validation", + "cross_valid", "cv3", "cv2"], UserWarning( + "Check the number of sets in the cross-validation.") + + # y, vY = np.array(y), np.unique(y).tolist() + # dY = len(vY) + # iY = [np.where(y == j)[0] for j in vY] # indices + # lY = [len(j) for j in iY] # length + # # tY = [np.copy(j) for j in iY] # np.arange(j),temp_index + # tY = deepcopy(iY) # tY = iY.copy() # tmp_index + # for j in tY: + # np.random.shuffle(j) + # sY = [int(np.floor(j / nb_cv)) for j in lY] # split length + # if nb_cv in [2, 3, 1]: + # sY = [int(np.floor(j / (nb_cv + 1))) for j in lY] + # + # split_idx = [] + # for k in range(1, nb_cv + 1): + # i_tst, i_val, i_trn = [], [], [] + # for i in range(dY): + # k_former = sY[i] * (k - 1) + # k_middle = sY[i] * k + # k_latter = sY[i] * (k + 1) if k != nb_cv else sY[i] + # + # i_tst.append(tY[i][k_former: k_middle]) + # if k != nb_cv: + # i_val.append(tY[i][k_middle: k_latter]) + # i_trn.append(np.concatenate([ + # tY[i][k_latter:], tY[i][: k_former]], axis=0)) + # else: + # i_val.append(tY[i][: k_latter]) + # i_trn.append(np.concatenate([ + # tY[i][k_middle:], + # tY[i][k_latter: k_former]], axis=0)) + # + # i_tst = np.concatenate(i_tst, axis=0).tolist() + # i_val = np.concatenate(i_val, axis=0).tolist() + # i_trn = np.concatenate(i_trn, axis=0).tolist() + # if split_type.endswith("v2"): + # # "cross_valid_v2" or "cross_validation" + # tmp = (i_trn + i_val, i_tst) # deepcopy() + # else: + # tmp = (i_trn, i_val, i_tst) # deepcopy(),i_val.copy() + # split_idx.append(tmp) # deepcopy(temp_) + # # del k_former, k_middle, k_latter, i_tst, i_val, i_trn + # # del k, y, vY, dY, iY, lY, tY, sY + # gc.collect() + # return split_idx + + dY, _, lY, tY, _ = _sub_sp_indices(y) + sY = [int(np.floor(j / float(nb_cv))) for j in lY] + if nb_cv in [2, 3, 1]: + sY = [int(np.floor(j / (nb_cv + 1.))) for j in lY] + split_idx = [] # sY_alt = [] + for k in range(1, nb_cv + 1): + i_trn, i_val, i_tst = _sub_sp_alt_cv(dY, tY, sY, k, nb_cv) + if split_type.endswith("v2"): + tmp = (i_trn + i_val, i_tst) + else: + tmp = (i_trn, i_val, i_tst) + split_idx.append(tmp) + + # if split_type.endswith("v2"): + # tmp = (deepcopy(i_trn + i_val), deepcopy(i_tst)) + # else: + # tmp = (deepcopy( + # i_trn), deepcopy(i_val), deepcopy(i_tst)) + # split_idx.append(deepcopy(tmp)) + return split_idx # return deepcopy(split_idx) + + +def manual_cross_valid(nb_cv, y): + split_idx = sitch_cross_validation(nb_cv, y) + return [[x + y, z] for x, y, z in split_idx] + + +# Split situation 1: +# i.e. one single iteration +# ---------------------------------- + +def situation_split1(y, pr_trn, pr_tst=None): + # y = np.array(y) + # vY = np.unique(y).tolist() + # dY = len(vY) + # iY = [np.where(y == j)[0] for j in vY] + # lY = [len(j) for j in iY] # index & length + # + # # tmp_idx = [np.arange(j) for j in lY] + # tY = deepcopy(iY) # [np.copy(j) for j in iY] + # for j in tY: + # np.random.shuffle(j) + # nb_y = len(y) + # nb_trn = int(np.round(nb_y * pr_trn)) + # nb_trn = min(max(nb_trn, 1), nb_y - 1) + # + # if pr_tst is None: + # sY = [int(np.max( + # [np.round(j * pr_trn), 1])) for j in lY] + # nb_tst = nb_y - nb_trn + # else: + # # pr_val = 1. - pr_trn - pr_tst + # sY = [[int(np.max([np.round(j * i), 1])) for i in ( + # pr_trn, pr_trn + pr_tst)] for j in lY] + # nb_tst = int(np.round(nb_y * pr_tst)) + # nb_tst = min(max(nb_tst, 1), nb_y - 1) + # # del pr_val + # + # i_tst, i_val, i_trn = [], [], [] + # for i in range(dY): + # if pr_tst is not None: + # i_trn.append(tY[i][: sY[i][0]]) + # i_tst.append(tY[i][sY[i][0]: sY[i][1]]) + # i_val.append(tY[i][sY[i][1]:]) + # else: + # i_trn.append(tY[i][: sY[i]]) + # i_tst.append(tY[i][sY[i]:]) + # + # i_trn = np.concatenate(i_trn, axis=0).tolist() + # i_tst = np.concatenate(i_tst, axis=0).tolist() + # # if len(i_tst) == 0: + # # i_tst = list(set( + # # np.random.randint(nb_y, size=nb_tst))) + # if not pr_tst: # pr_tst is None + # # i_val = list(set( + # # np.random.randint(nb_y, size=nb_val))) + # return [(i_trn, i_tst)] + # # nb_val = nb_y - nb_trn - nb_tst + # i_val = np.concatenate(i_val, axis=0).tolist() + # # if len(i_val) == 0: + # # i_val = list(set( + # # np.random.randint(nb_y, size=nb_val))) + # split_idx = [(i_trn, i_val, i_tst)] + # return split_idx + + # nb_y = len(y) + # dY, iY, lY, tY, _ = _sub_sp_indices(y) + dY, _, lY, tY, _ = _sub_sp_indices(y) + if pr_tst is None: + sY = [int(np.max([ + np.round(j * pr_trn), 1])) for j in lY] + # nb_tst = int(np.round(nb_y * (1. - pr_trn))) + # nb_tst = min(max(nb_tst, 1), nb_y - 1) + tmp = _sub_sp_alt_2set(dY, tY, sY) + return [tmp] + sY = [[int(np.max([ + np.round(j * i), 1])) for i in ( + pr_trn, pr_trn + pr_tst)] for j in lY] + # nb_tst = int(np.round(nb_y * pr_tst)) + # nb_tst = min(max(nb_tst, 1), nb_y - 1) + tmp = _sub_sp_alt_3set(dY, tY, sY) + return [tmp] + + +# Split situation 2 + +def situation_split2(pr_trn, nb_cv, y_trn): + # vY = np.unique(y_trn).tolist() + # dY = len(vY) + # iY = [np.where(np.equal(y_trn, j))[0] for j in vY] + # lY = [len(j) for j in iY] # length + # sY = [int(np.max([np.round( + # j * pr_trn), 1])) for j in lY] # split_loca + # tmp_idx = [np.arange(j) for j in lY] # tem_idx + # + # nb_trn = len(y_trn) + # nb_val = int(np.round(nb_trn * (1. * pr_trn))) + # nb_val = min(max(nb_val, 1), nb_trn - 1) + # split_idx = [] + # for k in range(nb_cv): + # for i in tmp_idx: + # np.random.shuffle(i) + # + # i_trn = [iY[i][tmp_idx[i][:sY[i]]] for i in range(dY)] + # i_val = [iY[i][tmp_idx[i][sY[i]:]] for i in range(dY)] + # i_trn = np.concatenate(i_trn, axis=0).tolist() + # i_val = np.concatenate(i_val, axis=0).tolist() + # if len(i_val) == 0: + # i_val = list(set( + # np.random.randint(nb_trn, size=nb_val))) + # tem = (i_trn, i_val) # .copy(), deepcopy + # split_idx.append(tem) + # + # del i_trn, i_val, tem, i + # del k, tmp_idx, sY, lY, dY, vY + # gc.collect() + # return split_idx + + # dY, iY, lY, _, tmp_idx = _sub_sp_indices(y_trn) + # return _sub_sp_2sets(lY, iY, dY, tmp_idx, nb_cv, pr_trn) + nb_y = len(y_trn) + nb_val = int(np.round(nb_y * (1. - pr_trn))) + nb_val = min(max(nb_val, 1), nb_y - 1) + + dY, iY, lY, _, tmp_idx = _sub_sp_indices(y_trn) + sY = [int(np.max([ + np.round(j * pr_trn), 1])) for j in lY] + split_idx = [] + for _ in range(nb_cv): # for k in + for i in tmp_idx: + np.random.shuffle(i) + tmp = _sub_sp_2sets(dY, iY, tmp_idx, sY, + nb_y, nb_val) + split_idx.append(tmp) # deepcopy(tmp)) + del sY, dY, iY, lY, tmp_idx + gc.collect() + return split_idx # deepcopy(split_idx) + + +# Split situation 3 + +def situation_split3(pr_trn, pr_tst, nb_cv, y): + # # pr_val = 1. - pr_trn - pr_tst + # + # vY = np.unique(y).tolist() + # dY = len(vY) + # # iY = [np.where(np.array(y) == j)[0] for j in vY] + # iY = [np.where(np.equal(y, j))[0] for j in vY] + # lY = [len(j) for j in iY] # length + # sY = [[int(np.max([np.round(j * i), 1])) for i in ( + # pr_trn, pr_trn + pr_tst)] for j in lY] + # tmp_idx = [np.arange(j) for j in lY] + # + # nb_y = len(y) + # nb_trn = int(np.round(nb_y * pr_trn)) + # nb_tst = int(np.round(nb_y * pr_tst)) + # # nb_val = int(np.round(nb_y * pr_val)) + # nb_trn = min(max(nb_trn, 1), nb_y) + # nb_tst = min(max(nb_tst, 1), nb_y - 1) + # nb_val = nb_y - nb_trn - nb_tst + # nb_val = min(max(nb_val, 1), nb_y - 1) + # # del pr_val # pr_trn, pr_tst, y + # + # split_idx = [] + # for k in range(nb_cv): + # for i in tmp_idx: # tem_idx + # np.random.shuffle(i) + # i_trn = [iY[i][tmp_idx[i][: sY[i][0]]] for i in range(dY)] + # i_tst = [iY[i][tmp_idx[i][ + # sY[i][0]: sY[i][1]]] for i in range(dY)] + # i_val = [iY[i][tmp_idx[i][sY[i][1]:]] for i in range(dY)] + # i_trn = np.concatenate(i_trn, axis=0).tolist() + # i_val = np.concatenate(i_val, axis=0).tolist() + # i_tst = np.concatenate(i_tst, axis=0).tolist() + # if len(i_tst) == 0: + # i_tst = list(set(np.random.randint(nb_y, size=nb_tst))) + # if len(i_val) == 0: + # i_val = list(set(np.random.randint(nb_y, size=nb_val))) + # tem = (i_trn, i_val, i_tst) + # split_idx.append(tem) # deepcopy() + # + # del i_trn, i_val, i_tst, tem, i + # del k, tmp_idx, sY, lY, iY, dY, vY + # gc.collect() + # return deepcopy(split_idx) + + # dY, iY, lY, tY, tmp_idx = _sub_sp_indices(y) + # return _sub_sp_3sets( + # lY, iY, dY, tmp_idx, nb_cv, pr_trn, pr_tst) + nb_y = len(y) + nb_trn = int(np.round(nb_y * pr_trn)) + nb_tst = int(np.round(nb_y * pr_tst)) + nb_trn = min(max(nb_trn, 1), nb_y) + nb_tst = min(max(nb_tst, 1), nb_y - 1) + nb_val = nb_y - nb_trn - nb_tst + nb_val = min(max(nb_val, 1), nb_y - 1) + + dY, iY, lY, _, tmp_idx = _sub_sp_indices(y) + sY = [[int(np.max([np.round(j * i), 1])) for i in ( + pr_trn, pr_trn + pr_tst)] for j in lY] + split_idx = [] + for _ in range(nb_cv): # for k in + for i in tmp_idx: + np.random.shuffle(i) + tmp = _sub_sp_3sets(dY, iY, tmp_idx, sY, + nb_y, nb_tst, nb_val) + split_idx.append(tmp) # deepcopy(tmp)) + del sY, dY, iY, tmp_idx + gc.collect() + return split_idx # deepcopy(split_idx) + + +# ================================= +# split the data +# ================================= + + +def split_into_sets(split_type, *split_args): + # def split_into_train_validation_test(): + assert split_type.endswith( + "split") or split_type.startswith( + "cross_valid"), "Error occurred when splitting the data." + # raise UserWarning() + # "Error occurred in `split_into_train_validation_test`." + + if split_type == "2split": + pr_trn, nb_iter, y_trn = split_args + split_idx = situation_split2(pr_trn, nb_iter, y_trn) + del y_trn + elif split_type == "3split": + pr_trn, pr_tst, nb_iter, y = split_args + split_idx = situation_split3(pr_trn, pr_tst, nb_iter, y) + del y + else: # elif split_type == "cross_validation": + nb_iter, y = split_args + split_idx = situation_cross_validation(nb_iter, y, split_type) + del y + gc.collect() + return deepcopy(split_idx) # list + + +# INTERFACE +# Preliminaries +# ---------------------------------- +# obtain data +# split data + +# from core.fetch_utils import different_type_of_data +# different ways to split data # carry_split.py +# def _spl2_step1(): +# pass + +# from sklearn.model_selection import train_test_split +# from sklearn.model_selection import cross_validate +# sklearn +# https://scikit-learn.org/stable/modules/ensemble.html +# https://scikit-learn.org/0.24/modules/cross_validation.html +# https://scikit-learn.org/0.24/model_selection.html diff --git a/pyfair/facil/draw_prelim.py b/pyfair/facil/draw_prelim.py new file mode 100644 index 0000000..17b5c0f --- /dev/null +++ b/pyfair/facil/draw_prelim.py @@ -0,0 +1,187 @@ +# coding: utf-8 +# +# TARGET: +# Oracle bounds regarding fairness for majority voting +# + + +# import matplotlib as mpl +import matplotlib.pyplot as plt +# from matplotlib import cm as mpl_cm +# from matplotlib.collections import LineCollection +# import seaborn as sns +import numpy as np + + +# ===================================== +# Preliminaries + + +# ------------------------------------- +# Parameters + + +# mpl.use('Agg') # set the 'backend' +# plt.rcParams['font.family'] = 'Times New Roman' +# plt.rcParams['font.family'] = 'Helvetica' # 'Arial' +plt.rcParams['font.family'] = 'stixgeneral' + +# plt.rc('text', usetex=True) +# plt.rcParams['font.sans-serif'] = ['SimHei'] # show chinese lbl +plt.rcParams['axes.unicode_minus'] = False # show minus notations +plt.rcParams['pdf.fonttype'] = 42 # to avoid type 3 font +# plt.rcParams['ps.fonttype'] = 42 + + +PLT_SHOW_OFF = False +PLT_SPINEOFF = True +PLT_LOCATION = 'best' +PLT_FRAMEBOX = False +# PLT_FRAMEBOX = True + +PLT_T_LAYOUT = True +PLT_AX_STYLE = True +DTY_PLT = '.pdf' +PLT_T_LAYOUT = False + + +# For code evaluation +''' +DTY_PLT = '.png' +PLT_FRAMEBOX = True +PLT_SPINEOFF = False +# PLT_SHOW_OFF = True +# PLT_T_LAYOUT = False +# PLT_AX_STYLE = False +''' + + +# mpl.rcParams.update( +# { +# 'text.usetex': True, +# 'font.family': 'stixgeneral', +# 'mathtext.fontset': 'stix', +# } +# ) + + +# ------------------------------------- +# Help(er) functions + + +def _style_set_axis(ax, invt=False): + ax.spines['top'].set_visible(False) + ax.spines['right'].set_visible(False) + ax.tick_params(direction='in') + if invt: + ax.invert_yaxis() # x-y,矩阵模式 + return ax + + +def _style_set_fig(fig, siz=(2.85, 2.36)): + fig.set_size_inches(*siz) + # 裁剪后 (2.5, 1.9), instead of (5, 4) + return fig + + +_setup_config = { + 'S-WS': (2.85, 2.36), + 'S-NT': (2.95, 2.44), # nice + 'M-WS': (3.05, 2.52), # nice + 'M-NT': (3.15, 2.61), # default + 'L-WS': (3.45, 2.85), + 'L-NT': (5, 4), + 'extra': (7, 5.467), + 'L-ET': (6, 4.7) + # 'extra': (9, 5.4) +} # 'S/M/L' 'Wide/Narrow' 'Tall/Short' + + +def _setup_figsize(fig, figsize='S-NT', invt=False): + figsize = _setup_config[figsize] + fig.set_size_inches(*figsize) + if PLT_AX_STYLE: + _style_set_axis(fig.gca(), invt) + return fig + + +def _setup_figshow(fig, figname): + if PLT_SHOW_OFF: + fig.show() + return + if PLT_T_LAYOUT: + fig.tight_layout() + fig.savefig("{}{}".format(figname, DTY_PLT), + dpi=300, bbox_inches='tight') + # fig.savefig(figname, dpi=300, bbox_inches='tight') + # plt.close(fig) + return + + +def _setup_locater(fig, base=0.05): + # 把轴的刻度间隔设置为1，并存在变量里 + x_major_locator = plt.MultipleLocator(base) + y_major_locator = plt.MultipleLocator(base) + # ax为两条坐标轴的实例 + ax = fig.gca() + # 把轴的主刻度设置为1的倍数 + ax.xaxis.set_major_locator(x_major_locator) + ax.yaxis.set_major_locator(y_major_locator) + # 把轴的刻度范围设置为-到- + return fig + + +def _set_quantile(p, low, high): + # aka. fractile, percentile + q_frac = (high - low) / abs(p) + if p > 0: + return high - q_frac + elif p < 0: + return low + q_frac + return low + (high - low) / 2 + + +# ------------------------------------- + + +# ===================================== +# draw_graph.py + + +_barh_kwargs = { + 'error_kw': { + "ecolor": "0.12", + "capsize": 5.6, + 'elinewidth': 1.1}, + 'edgecolor': 'black', + 'lw': .7, } + +_barh_fcolor = [ + tuple([i / 255 for i in [153, 50, 204]]), + tuple([i / 255 for i in [204, 204, 254]]), + tuple([0, 0.4470, 0.7410]), + tuple([i / 255 for i in [135, 206, 250]]), + tuple([0, 0.5019, 0.5020]), + tuple([i / 255 for i in [64, 224, 208]]), + tuple([i / 255 for i in [255, 250, 205]]), + tuple([i / 255 for i in [240, 230, 140]]), + tuple([i / 255 for i in [255, 127, 80]]), + tuple([i / 255 for i in [255, 165, 0]]), + tuple([i / 255 for i in [255, 20, 147]]), +] + + +def _setup_rgb_color(N, cname='GnBu_r'): + # cmap = mpl_cm.get_cmap(cname) + cmap = plt.colormaps.get_cmap(cname) + + norm = plt.Normalize(0, N) + norm_y = norm(np.arange(N + 1)) + + colors = cmap(norm_y) + return colors, len(colors) + + +# https://stackoverflow.com/questions/76901874/userwarning-the-figure-layout-has-changed-to-tight-self-figure-tight-layouta +# https://github.com/mwaskom/seaborn/issues/3431 +# https://stackoverflow.com/questions/47253462/matplotlib-mathtext-glyph-errors-in-tick-labels diff --git a/pyfair/facil/ensem_voting.py b/pyfair/facil/ensem_voting.py new file mode 100644 index 0000000..160af3d --- /dev/null +++ b/pyfair/facil/ensem_voting.py @@ -0,0 +1,185 @@ +# coding: utf-8 +# +# Target: +# Combination after ensemble classification +# + + +from copy import deepcopy +import gc + +import numpy as np +from pympler.asizeof import asizeof + +gc.enable() + + +# ------------------------------------- +# Ensemble Voting +# ------------------------------------- + + +# def plurality_voting(y, yt): +# # vY = np.c_[y.reshape(-1, 1), yt.T].T +# # vY = np.concatenate(([y], yt)) +# vY = np.unique(y).tolist() + np.unique(yt).tolist() +# vY = np.unique(vY) + +def plurality_voting(yt): + vY = np.unique(yt).tolist() + + vote = [np.sum(np.equal( + yt, i), axis=0).tolist() for i in vY] + loca = np.argmax(vote, axis=0) # vote.argmax(axis=0) + fens = [vY[i] for i in loca] + del vY, vote, loca + gc.collect() + return deepcopy(fens) # fens.copy() + + +# def majority_voting(y, yt): +# vY = np.unique(np.vstack([y, yt])) +# +def majority_voting(yt): + vY = np.unique(yt).tolist() + vote = [np.sum(np.equal( + yt, i), axis=0).tolist() for i in vY] + + nb_cls = len(yt) + half = int(np.ceil(nb_cls / 2.)) + vts = np.array(vote).T # transpose + + loca = [np.where(j > half)[0] for j in vts] # strictly + # loca = [np.where(j >= half)[0] for j in vts] + loca = [j[0] if len(j) > 0 else -1 for j in loca] + fens = [vY[i] if i != -1 else -1 for i in loca] + + del vY, vote, half, vts, loca, nb_cls + gc.collect() + return deepcopy(fens) + + +# def weighted_voting(y, yt, coef): +# vY = np.unique(np.concatenate([[y], yt])) +# +def weighted_voting(yt, coef): + vY = np.unique(yt).tolist() + # coef = np.array(np.mat(coef).T) + # coef = np.array(coef).reshape(-1, 1) + coef = np.array([coef]).transpose() + + weig = [np.sum(coef * np.equal( + yt, i), axis=0).tolist() for i in vY] + loca = np.array(weig).argmax(axis=0).tolist() + fens = [vY[i] for i in loca] + + del vY, coef, weig, loca + gc.collect() + return deepcopy(fens) + + +# ------------------------------------- +# Ensemble Methods +# ------------------------------------- + + +def get_accuracy_of_multiclass(y, yt, coef=None): + # that is, get_accuracy_of_multiclassification() + if not coef: + nb_cls = len(yt) + coef = [1. / nb_cls for _ in range(nb_cls)] + # plurality_voting + fens = weighted_voting(yt, coef) # y, + + accpl = [np.mean(np.equal(t, y)) for t in yt] + accsg = np.mean(np.equal(fens, y)) + + accpr = np.mean(accsg > np.array(accpl)) + return deepcopy(fens), deepcopy(accpl), accsg, accpr + + +# ------------------------------------- +# 1st_diversity, a tie +# ------------------------------------- + + +# def tie_with_weight_plurality(y, yt, coef=None, nc=1): +# if nc == 2: +# y = [2 * i - 1 for i in y] +# yt = [[2 * i - 1 for i in fx] for fx in yt] +# if nc <= 2: +# # if coef is None: +# # nb_cls = len(yt) +# # coef = [1. / nb_cls] * nb_cls +# if coef is None: +# fens = np.sum(yt, axis=0).tolist() +# # fens = np.mean(yt, axis=0).tolist() +# else: +# weig = np.array([coef]).T +# yt = np.array(yt) +# fens = np.sum(weig * yt, axis=0) +# ans = np.sign(fens) +# if nc == 2: +# ans = (ans + 1.) / 2. +# return ans.tolist() +# # # # +# if coef is None: +# fens = plurality_voting(y, yt) +# else: +# fens = weighted_voting(y, yt, coef) +# return fens + + +def tie_with_weight_plurality(yt, coef=None, nc=1): + if nc > 2: + fens = plurality_voting(yt) if ( + coef is None) else weighted_voting(yt, coef) + return fens + if nc == 2: + # y = [2 * i - 1 for i in y] + yt = [[2 * i - 1 for i in fx] for fx in yt] + if coef is None: + fens = np.sum(yt, axis=0).tolist() # .mean() + else: + weig = np.array([coef]).T + yt = np.array(yt) + fens = np.sum(weig * yt, axis=0) + ans = np.sign(fens) + if nc == 2: + ans = (ans + 1.) / 2. + return ans.tolist() + + +# ---------------------------------------- +# obtain performance +# ---------------------------------------- + + +def get_pruned_subensemble(y, yt, coef, P): + ys = np.array(yt)[P].tolist() # yt[P] + cs = np.array(coef)[P].tolist() # coef[P] + _, accpl, accsg, accpr = get_accuracy_of_multiclass(y, ys, cs) + return deepcopy(accpl), accsg, accpr + + +def get_pruned_space_cost(coef, clfs, P): + opt_coef = np.array(coef)[P].tolist() # coef[P] + opt_clfs = [v for k, v in zip(P, clfs) if k] + space_cost__ = asizeof(opt_clfs) + asizeof(opt_coef) + del opt_coef, opt_clfs + # train: get us_b4 + # prune: get us_af + return space_cost__ + + +def get_accuracy_for_pruned_version(y, yt, coef, clfs, P): + ys = np.array(yt)[P].tolist() + cs = np.array(coef)[P].tolist() + _, accpl, accsg, accpr = get_accuracy_of_multiclass(y, ys, cs) + + opt_coef = cs # np.array(coef)[P].tolist() + opt_clfs = [clfs[k] for k, v in enumerate(P) if v] + + space_cost__ = asizeof(opt_clfs) + asizeof(opt_coef) + del opt_coef, opt_clfs, ys, cs + return deepcopy(accpl), accsg, accpr, space_cost__ diff --git a/pyfair/facil/metric_cont.py b/pyfair/facil/metric_cont.py new file mode 100644 index 0000000..6bf657a --- /dev/null +++ b/pyfair/facil/metric_cont.py @@ -0,0 +1,215 @@ +# coding: utf-8 +# +# Aim to provide: +# Confusion matrices +# + + +import numpy as np +import numba + + +# ------------------------------------- +# Contingency table +# for binary classification +# +# | True label | Prediction | +# | | Positive | Negative | +# | Positive (1) | TP | FN | +# | Negative (0) | FP | TN | + +# Contingency table (binary) +# |True label `y`| Prediction `f(x)` | + + +@numba.jit(nopython=True) +def contingency_tab_bi(y, y_hat, pos=1): + # For one single classifier + tp = np.sum((y == pos) & (y_hat == pos)) # a + fn = np.sum((y == pos) & (y_hat != pos)) # b + fp = np.sum((y != pos) & (y_hat == pos)) # c + tn = np.sum((y != pos) & (y_hat != pos)) # d + return tp, fp, fn, tn + # return tp, fn, fp, tn + + +# input: np.ndarray, not list +# +# P[f()=1 | y=0] = fp/(fp+tn) =g_Cm[2]/g_Cm[2+0] +# P[f()=1 | y=1] = tp/(tp+fn) =g_Cm[0]/g_Cm[0+2] + + +# # For multi-class classification +# ''' +# 机器学习 周志华 +# 二分类代价矩阵 +# |True Label| Prediction | +# | | Class 0 | Class 1 | +# | Class 0 | 0 | cost_{01} | +# | Class 1 | cost_{10} | 0 | +# +# contingency_table_multi +# | |hb= c_0 |hb= c_1 |hb= c_{n_c-1}| +# |ha= c_0 | C_{00} | C_{01} | C_{0?} | +# |ha= c_1 | C_{10} | C_{11} | C_{1?} | +# |ha= c_{n_c-1}| C_{?0} | C_{?1} | C_{??} | +# contingency_table_{?} when ?==2 +# | |hb!=y, hb=-1|hb==y, hb=1| +# |ha!=y, ha=-1| d /TN | c /FP | +# |ha==y, ha==1| b /FN | a /TP | when ha is yt +# +# # 多分类有几种： +# # 第一种：用这个样本分对了还是分错了区分 +# # 第二种：用一个确定的作为pos，其他类都是neg，转化成二分类再做 +# # 第三种：变成 NxN 矩阵 +# +# 分类结果混淆矩阵（多分类） +# ''' + + +def contg_tab_mu_type3(y, y_hat, vY): + # def contingency_tab_mu(): + dY = len(vY) + Cij = np.zeros(shape=(dY, dY), dtype='int') # DTY_INT) + for i in range(dY): + for j in range(dY): + Cij[i, j] = np.sum((y == vY[i]) & (y_hat == vY[j])) + return Cij # Cij.copy(), np.ndarray + + +def contg_tab_mu_merge(Cij, vY, pos=1): + k = vY.index(pos) # idx + tp = Cij[k][k] + fn = np.sum(Cij[k]) - Cij[k, k] + fp = np.sum(Cij[:, k]) - Cij[k, k] + + Kij = Cij.copy() + Kij[k] = 0 + Kij[:, k] = 0 + tn = np.sum(Kij) + return tp, fp, fn, tn + + +# @numba.jit(nopython=True) +# def contg_tab_multi_type3(h, hp, vY): +# def contg_tab_multi_merge(Cij, vY, pos=1): + + +# ''' +# Machine learning, Zhi-Hua Zhou +# | | hi = pos | hi = neg | +# | hj = pos | a | c | +# | hj = neg | b | d | +# i.e., +# | | hj = pos | hj = neg | +# | hi = pos | a | b | +# | hi = neg | c | d | +# +# contg_tab_multi_type3() +# contg_tab_multi_merge() +# 加起来就是 contingency_zh() +# ''' + + +contg_tab_mu_type2 = contingency_tab_bi + + +# @numba.jit(nopython=True) +# def contg_tab_multi_type2(h, hp, pos=1): +# # namely, def contingency_zh() + + +# ''' +# Kuncheva2003measures +# | |hk correct (1)|hk wrong (0)| +# |hi correct (1)| N^{11} | N^{10} | +# |hi wrong (0)| N^{01} | N^{00} | +# Total, N= N^{00}+N^{01}+N^{10}+N^{11} +# +# i.e., +# | |hk correct|hk wrong| +# |hi correct| tp | fn | or | a | b | +# |hi wrong | fp | tn | | c | d | +# +# McNemar test +# | |Alg B correct|Alg B wrong | +# |Alg A correct| e_{00} | e_{10} | +# |Alg A wrong | e_{01} | e_{11} | +# ''' + + +def contg_tab_mu_type1(y, ha, hb): + za = np.array(y == ha, dtype='int') # DTY_INT) + zb = np.array(y == hb, dtype='int') # DTY_INT) + + tp = np.sum((za == 1) & (zb == 1)) # N^{11} # e_{00} + fn = np.sum((za == 1) & (zb != 1)) # N^{10} # e_{10} + fp = np.sum((za != 1) & (zb == 1)) # N^{01} # e_{01} + tn = np.sum((za != 1) & (zb != 1)) # N^{00} # e_{11} + return tp, fp, fn, tn + + +# def contg_tab_multi_type1(h, ha, hb): +# # namely, def contingency_ku() + + +# ------------------------------------- +# Performance metrics (cont.) + + +# 在 n 个二分类混淆矩阵上综合考察 + +@numba.jit(nopython=True) +def calc_confusion(y, fx, cv=5, pos=1): + # cross validation + # y.shape: (nb_inst,) + # fx.shape: (cv, nb_inst) + return list(map(contingency_tab_bi, + [y] * cv, fx, [pos] * cv)) + + +# def calc_macro_score(confusion, cv=5): +# def calc_micro_score(confusion, cv=5): + + +# 分类结果混淆矩阵 +# from hfm.metrics.contingency_mat import contingency_tab_bi +# +# @numba.jit(nopython=True) +# def calc_confusion(y, fx, cv=5, pos=1, neg=0): +# confusion = list(map(contingency_tab_bi, +# [y] * cv, fx, [pos] * cv, [neg] * cv)) +# tp, fp, fn, tn = zip(*confusion) +# return tp, fp, fn, tn +# # return [contingency_table(y, t, pos, neg) for t in fx] +# return list(map(contingency_table, +# [y] * cv, fx, [pos] * cv, [neg] * cv)) + + +# # -------------------------- +# # 分类结果混淆矩阵（二分类） +# +# ''' +# 机器学习 周志华 +# |True Label| Prediction | +# | | Positive | Negative | +# | Positive | TP | FN | +# | Negative | FP | TN | +# +# 集成学习 周志华 +# | | hi = pos | hi = neg | +# | hj = pos | a | c | +# | hj = neg | b | d | +# i.e., +# | | hj = pos | hj = neg | +# | hi = pos | a | b | +# | hi = neg | c | d | +# ''' +# +# # metric_cont.py, metrics_contg.py +# hfm/metrics/contingency_mat.py +# from hfm.utils.verifiers import DTY_INT +# # ''' if neg=0 +# # return tn, fn, fp, tp +# # ''' +# # # return tp, fn, fp, tn diff --git a/pyfair/facil/pkgs_pympler.py b/pyfair/facil/pkgs_pympler.py new file mode 100644 index 0000000..792355a --- /dev/null +++ b/pyfair/facil/pkgs_pympler.py @@ -0,0 +1,2972 @@ +# coding: utf-8 +# Pympler +# asizeof.py +# ---------------------------------------------------------------------- + + +#!/usr/bin/env python + +# Copyright, license and disclaimer are at the very end of this file. + +# This is the latest, enhanced version of the asizeof.py recipes at +# +# + +# Note, objects like ``namedtuples``, ``closure``, and NumPy data +# ``arange``, ``array``, ``matrix``, etc. are only handled by recent +# versions of this module. Sizing of ``__slots__`` has been incorrect +# in versions before this one. Also, property ``Asizer.duplicate`` gave +# incorrect values before this release. Several other properties +# have been added to the ``Asizer`` class and the ``print_summary`` +# method has been updated. + +''' +This module exposes 9 functions and 2 classes to obtain lengths and +sizes of Python objects (for Python 2.6 or later). + +Earlier versions of this module supported Python versions down to +Python 2.2. If you are using Python 2.5 or older, please consider +downgrading Pympler to version 0.3.x. + +**Public Functions** [#unsafe]_ + + Function **asizeof** calculates the combined (approximate) size + in bytes of one or several Python objects. + + Function **asizesof** returns a tuple containing the (approximate) + size in bytes for each given Python object separately. + + Function **asized** returns for each object an instance of class + **Asized** containing all the size information of the object and + a tuple with the referents [#refs]_. + + Functions **basicsize** and **itemsize** return the *basic-* + respectively *itemsize* of the given object, both in bytes. For + objects as ``array.array``, ``numpy.array``, ``numpy.matrix``, + etc. where the item size varies depending on the instance-specific + data type, function **itemsize** returns that item size. + + Function **flatsize** returns the *flat size* of a Python object + in bytes defined as the *basic size* plus the *item size* times + the *length* of the given object. + + Function **leng** returns the *length* of an object, like standard + function ``len`` but extended for several types. E.g. the **leng** + of a multi-precision int (or long) is the number of ``digits`` + [#digit]_. The length of most *mutable* sequence objects includes + an estimate of the over-allocation and therefore, the **leng** value + may differ from the standard ``len`` result. For objects like + ``array.array``, ``numpy.array``, ``numpy.matrix``, etc. function + **leng** returns the proper number of items. + + Function **refs** returns (a generator for) the referents [#refs]_ + of the given object. + + Certain classes are known to be sub-classes of or to behave as + ``dict`` objects. Function **adict** can be used to register + other class objects to be treated like ``dict``. + +**Public Classes** [#unsafe]_ + + Class **Asizer** may be used to accumulate the results of several + **asizeof** or **asizesof** calls. After creating an **Asizer** + instance, use methods **asizeof** and **asizesof** as needed to + size any number of additional objects. + + Call methods **exclude_refs** and/or **exclude_types** to exclude + references to respectively instances or types of certain objects. + + Use one of the **print\\_...** methods to report the statistics. + + An instance of class **Asized** is returned for each object sized + by the **asized** function or method. + +**Duplicate Objects** + + Any duplicate, given objects are sized only once and the size + is included in the accumulated total only once. But functions + **asizesof** and **asized** will return a size value respectively + an **Asized** instance for each given object, including duplicates. + +**Definitions** [#arb]_ + + The *length* of an objects like ``dict``, ``list``, ``set``, + ``str``, ``tuple``, etc. is defined as the number of items held + in or allocated by the object. Held items are *references* to + other objects, called the *referents*. + + The *size* of an object is defined as the sum of the *flat size* + of the object plus the sizes of any referents [#refs]_. Referents + are visited recursively up to the specified detail level. However, + the size of objects referenced multiple times is included only once + in the total *size*. + + The *flat size* of an object is defined as the *basic size* of the + object plus the *item size* times the number of allocated *items*, + *references* to referents. The *flat size* does include the size + for the *references* to the referents, but not the size of the + referents themselves. + + The *flat size* returned by function *flatsize* equals the result + of function *asizeof* with options *code=True*, *ignored=False*, + *limit=0* and option *align* set to the same value. + + The accurate *flat size* for an object is obtained from function + ``sys.getsizeof()`` where available. Otherwise, the *length* and + *size* of sequence objects as ``dicts``, ``lists``, ``sets``, etc. + is based on an estimate for the number of allocated items. As a + result, the reported *length* and *size* may differ substantially + from the actual *length* and *size*. + + The *basic* and *item size* are obtained from the ``__basicsize__`` + respectively ``__itemsize__`` attributes of the (type of the) + object. Where necessary (e.g. sequence objects), a zero + ``__itemsize__`` is replaced by the size of a corresponding C type. + + The overhead for Python's garbage collector (GC) is included in + the *basic size* of (GC managed) objects as well as the space + needed for ``refcounts`` (used only in certain Python builds). + + Optionally, size values can be aligned to any power-of-2 multiple. + +**Size of (byte)code** + + The *(byte)code size* of objects like classes, functions, methods, + modules, etc. can be included by setting option *code=True*. + + Iterators are handled like sequences: iterated object(s) are sized + like *referents* [#refs]_, but only up to the specified level or + recursion *limit* (and only if function ``gc.get_referents()`` + returns the referent object of iterators). + + Generators are sized as *(byte)code* only, but the generated + objects are never sized. + +**Old- and New-style Classes** + + All old- and new-style ``class``, instance and ``type`` objects are + handled uniformly such that (a) instance objects are distinguished + from class objects and (b) instances of different old-style classes + can be dealt with separately. + + Class and type objects are represented as ```` + respectively ```` where the ``*`` indicates an old-style + class and the ``... def`` suffix marks the *definition object*. + Instances of classes are shown as ```` without + the ``... def`` suffix. The ``*`` after the name indicates an + instance of an old-style class. + +**Ignored Objects** + + To avoid excessive sizes, several object types are ignored [#arb]_ + by default, e.g. built-in functions, built-in types and classes + [#bi]_, function globals and module referents. However, any + instances thereof and module objects will be sized when passed as + given objects. Ignored object types are included unless option + *ignored* is set accordingly. + + In addition, many ``__...__`` attributes of callable objects are + ignored [#arb]_, except crucial ones, e.g. class attributes ``__dict__``, + ``__doc__``, ``__name__`` and ``__slots__``. For more details, see + the type-specific ``_..._refs()`` and ``_len_...()`` functions below. + +.. rubric:: Footnotes +.. [#unsafe] The functions and classes in this module are not thread-safe. + +.. [#refs] The *referents* of an object are the objects referenced *by* + that object. For example, the *referents* of a ``list`` are the + objects held in the ``list``, the *referents* of a ``dict`` are + the key and value objects in the ``dict``, etc. + +.. [#arb] These definitions and other assumptions are rather arbitrary + and may need corrections or adjustments. + +.. [#digit] See Python source file ``.../Include/longinterp.h`` for the + C ``typedef`` of ``digit`` used in multi-precision int (or long) + objects. The C ``sizeof(digit)`` in bytes can be obtained in + Python from the int (or long) ``__itemsize__`` attribute. + Function **leng** determines the number of ``digits`` of an int + (or long) object. + +.. [#bi] ``Type``s and ``class``es are considered built-in if the + ``__module__`` of the type or class is listed in the private + ``_builtin_modules``. +''' # PYCHOK escape +import sys +if sys.version_info < (2, 6, 0): + raise NotImplementedError('%s requires Python 2.6 or newer' % ('asizeof',)) + +# all imports listed explicitly to help PyChecker +from inspect import (isbuiltin, isclass, iscode, isframe, isfunction, + ismethod, ismodule, stack) +from math import log +from os import curdir, linesep +from struct import calcsize # type/class Struct only in Python 2.5+ +import types as Types +import warnings +import weakref as Weakref + +__all__ = ['adict', 'asized', 'asizeof', 'asizesof', + 'Asized', 'Asizer', # classes + 'basicsize', 'flatsize', 'itemsize', 'leng', 'refs'] +__version__ = '20.06.04' + +# Any classes or types in modules listed in _builtin_modules are +# considered built-in and ignored by default, as built-in functions +_builtin_modules = (int.__module__, 'types', Exception.__module__) # 'weakref' +if __name__ != '__main__': # treat this very module as built-in + _builtin_modules += (__name__,) + +# Sizes of some primitive C types +# XXX len(pack(T, 0)) == Struct(T).size == calcsize(T) +_sizeof_Cbyte = calcsize('c') # sizeof(unsigned char) +_sizeof_Clong = calcsize('l') # sizeof(long) +_sizeof_Cvoidp = calcsize('P') # sizeof(void*) + +# sizeof(long) != sizeof(ssize_t) on LLP64 +if _sizeof_Clong < _sizeof_Cvoidp: # pragma: no coverage + _z_P_L = 'P' +else: + _z_P_L = 'L' + + +def _calcsize(fmt): + '''Like struct.calcsize() but handling 'z' for Py_ssize_t. + ''' + return calcsize(fmt.replace('z', _z_P_L)) + + +# Defaults for some basic sizes with 'z' for C Py_ssize_t +_sizeof_CPyCodeObject = _calcsize('Pz10P5i0P') # sizeof(PyCodeObject) +_sizeof_CPyFrameObject = _calcsize('Pzz13P63i0P') # sizeof(PyFrameObject) +_sizeof_CPyModuleObject = _calcsize('PzP0P') # sizeof(PyModuleObject) + +# Defaults for some item sizes with 'z' for C Py_ssize_t +_sizeof_CPyDictEntry = _calcsize('z2P') # sizeof(PyDictEntry) +_sizeof_Csetentry = _calcsize('lP') # sizeof(setentry) + +try: # C typedef digit for multi-precision int (or long) + _sizeof_Cdigit = long.__itemsize__ +except NameError: # no long in Python 3+ + _sizeof_Cdigit = int.__itemsize__ +if _sizeof_Cdigit < 2: # pragma: no coverage + raise AssertionError('sizeof(%s) bad: %d' % ('digit', _sizeof_Cdigit)) + +try: + _builtins2 = range, xrange +except NameError: # Python 3+ + _builtins2 = range, + +# Get character size for internal unicode representation in Python < 3.3 +try: # sizeof(unicode_char) + u = unicode('\0') +except NameError: # no unicode() in Python 3+ + u = '\0' +u = u.encode('utf-8') +_sizeof_Cunicode = len(u) +del u + +try: # Size of GC header, sizeof(PyGC_Head) + import _testcapi as t + _sizeof_CPyGC_Head = t.SIZEOF_PYGC_HEAD # new in Python 2.6 +except (ImportError, AttributeError): # sizeof(PyGC_Head) + # alignment should be to sizeof(long double) but there + # is no way to obtain that value, assume twice double + t = calcsize('2d') - 1 + _sizeof_CPyGC_Head = (_calcsize('2Pz') + t) & ~t +del t + +# Size of refcounts (Python debug build only) +if hasattr(sys, 'gettotalrefcount'): # pragma: no coverage + _sizeof_Crefcounts = _calcsize('2z') +else: + _sizeof_Crefcounts = 0 + +try: + from abc import ABCMeta +except ImportError: + class ABCMeta(type): + pass + +# Some flags from .../Include/object.h +_Py_TPFLAGS_HEAPTYPE = 1 << 9 # Py_TPFLAGS_HEAPTYPE +_Py_TPFLAGS_HAVE_GC = 1 << 14 # Py_TPFLAGS_HAVE_GC + +_Type_type = type(type) # == type and new-style class type + + +# Compatibility functions for more uniform +# behavior across Python version 2.2 thu 3+ + +def _items(obj): # dict only + '''Return iter-/generator, preferably. + ''' + o = getattr(obj, 'iteritems', obj.items) + if _callable(o): + return o() + else: + return o or () + + +def _keys(obj): # dict only + '''Return iter-/generator, preferably. + ''' + o = getattr(obj, 'iterkeys', obj.keys) + if _callable(o): + return o() + else: + return o or () + + +def _values(obj): # dict only + '''Return iter-/generator, preferably. + ''' + o = getattr(obj, 'itervalues', obj.values) + if _callable(o): + return o() + else: + return o or () + + +try: # callable() builtin + _callable = callable +except NameError: # callable() removed in Python 3+ + def _callable(obj): + '''Substitute for callable().''' + return hasattr(obj, '__call__') + +# 'cell' is holding data used in closures +c = (lambda unused: (lambda: unused))(None) +try: + _cell_type = type(c.__closure__[0]) +except AttributeError: # Python 2.5 + _cell_type = type(c.func_closure[0]) +del c + +try: + from gc import get_objects as _getobjects # containers only? +except ImportError: + def _getobjects(): + # modules first, globals and stack + # objects (may contain duplicates) + return tuple(_values(sys.modules)) + ( + globals(), stack(sys.getrecursionlimit())[2:]) + +if sys.platform == 'ios': # Apple iOS + _gc_getobjects = _getobjects + + def _getobjects(): # PYCHOK expected + # avoid Pythonista3/Python 3+ crash + return tuple(o for o in _gc_getobjects() if not _isNULL(o)) + +try: # only used to get referents of + # iterators, but gc.get_referents() + # returns () for dict...-iterators + from gc import get_referents as _getreferents +except ImportError: + def _getreferents(unused): + return () # sorry, no refs + +# sys.getsizeof() new in Python 2.6 +_getsizeof = sys.getsizeof # overridden below +_getsizeof_excls = () # types not sys.getsizeof'd + +try: # str intern() + _intern = intern +except NameError: # no intern() in Python 3+ + def _intern(val): + return val + + +# Private functions + +def _basicsize(t, base=0, heap=False, obj=None): + '''Get non-zero basicsize of type, + including the header sizes. + ''' + s = max(getattr(t, '__basicsize__', 0), base) + # include gc header size + if t != _Type_type: + h = getattr(t, '__flags__', 0) & _Py_TPFLAGS_HAVE_GC + elif heap: # type, allocated on heap + h = True + else: # None has no __flags__ attr + h = getattr(obj, '__flags__', 0) & _Py_TPFLAGS_HEAPTYPE + if h: + s += _sizeof_CPyGC_Head + # include reference counters + return s + _sizeof_Crefcounts + + +def _classof(obj, dflt=None): + '''Return the object's class object. + ''' + return getattr(obj, '__class__', dflt) + + +def _derive_typedef(typ): + '''Return single, existing super type typedef or None. + ''' + v = [v for v in _values(_typedefs) if _issubclass(typ, v.type)] + if len(v) == 1: + return v[0] + return None + + +def _dir2(obj, pref='', excl=(), slots=None, itor=''): + '''Return an attribute name, object 2-tuple for certain + attributes or for the ``__slots__`` attributes of the + given object, but not both. Any iterator referent + objects are returned with the given name if the + latter is non-empty. + ''' + if slots: # __slots__ attrs + if hasattr(obj, slots): + # collect all inherited __slots__ attrs + # from list, tuple, or dict __slots__, + # while removing any duplicate attrs + s = {} + for c in type(obj).mro(): + for a in getattr(c, slots, ()): + if a.startswith('__'): + a = '_' + c.__name__ + a + if hasattr(obj, a): + s.setdefault(a, getattr(obj, a)) + # assume __slots__ tuple-like is holding the values + # yield slots, _Slots(s) # _keys(s) ... REMOVED, + # see _Slots.__doc__ further below + for t in _items(s): + yield t # attr name, value + elif itor: # iterator referents + for o in obj: # iter(obj) + yield itor, o + else: # regular attrs + for a in dir(obj): + if a.startswith(pref) and hasattr(obj, a) and a not in excl: + yield a, getattr(obj, a) + + +def _getsizeof_excls_add(typ): + '''Add another type to the tuple of types to be + excluded from sys.getsizeof due to errors. + ''' + global _getsizeof_excls + if typ and typ not in _getsizeof_excls: + _getsizeof_excls += (typ,) + + +def _infer_dict(obj): + '''Return True for likely dict object via duck typing. + ''' + for attrs in (('items', 'keys', 'values'), # 'update', + ('iteritems', 'iterkeys', 'itervalues')): + attrs += '__len__', 'get', 'has_key' + if all(_callable(getattr(obj, a, None)) for a in attrs): + return True + return False + + +def _isbuiltin2(obj): + '''Return True for builtins like Python 2. + ''' + # range is no longer a built-in in Python 3+ + return isbuiltin(obj) or obj in _builtins2 + + +def _iscell(obj): + '''Return True if obj is a cell as used in a closure. + ''' + return isinstance(obj, _cell_type) + + +def _isdictclass(obj): + '''Return True for known dict objects. + ''' + c = _classof(obj) + return c and c.__name__ in _dict_classes.get(c.__module__, ()) + + +def _isframe(obj): + '''Return True for a stack frame object. + ''' + try: # safe isframe(), see pympler.muppy + return isframe(obj) + except ReferenceError: + return False + + +def _isnamedtuple(obj): + '''Named tuples are identified via duck typing: + + ''' + return isinstance(obj, tuple) and hasattr(obj, '_fields') + + +def _isNULL(obj): + '''Prevent asizeof(all=True, ...) crash. + + Sizing gc.get_objects() crashes in Pythonista3 with + Python 3.5.1 on iOS due to 1-tuple (,) object, + see . + ''' + return isinstance(obj, tuple) and len(obj) == 1 \ + and repr(obj) == '(,)' + + +def _issubclass(sub, sup): + '''Safe issubclass(). + ''' + if sup is not object: + try: + return issubclass(sub, sup) + except TypeError: + pass + return False + + +def _itemsize(t, item=0): + '''Get non-zero itemsize of type. + ''' + # replace zero value with default + return getattr(t, '__itemsize__', 0) or item + + +def _kwdstr(**kwds): + '''Keyword arguments as a string. + ''' + return ', '.join(sorted('%s=%r' % kv for kv in _items(kwds))) + + +def _lengstr(obj): + '''Object length as a string. + ''' + n = leng(obj) + if n is None: # no len + r = '' + elif n > _len(obj): # extended + r = ' leng %d!' % n + else: + r = ' leng %d' % n + return r + + +def _moduleof(obj, dflt=''): + '''Return the object's module name. + ''' + return getattr(obj, '__module__', dflt) + + +def _nameof(obj, dflt=''): + '''Return the name of an object. + ''' + return getattr(obj, '__name__', dflt) + + +def _objs_opts_x(objs, all=None, **opts): + '''Return given or 'all' objects + and the remaining options. + ''' + if objs: # given objects + t = objs + x = False + elif all in (False, None): + t = () + x = True + elif all is True: # 'all' objects + t = _getobjects() + x = True + else: + raise ValueError('invalid option: %s=%r' % ('all', all)) + return t, opts, x + + +def _p100(part, total, prec=1): + '''Return percentage as string. + ''' + r = float(total) + if r: + r = part * 100.0 / r + return '%.*f%%' % (prec, r) + return 'n/a' + + +def _plural(num): + '''Return 's' if plural. + ''' + if num == 1: + s = '' + else: + s = 's' + return s + + +def _power2(n): + '''Find the next power of 2. + ''' + p2 = 16 + while n > p2: + p2 += p2 + return p2 + + +def _prepr(obj, clip=0): + '''Prettify and clip long repr() string. + ''' + return _repr(obj, clip=clip).strip('<>').replace("'", '') # remove <''> + + +def _printf(fmt, *args, **print3options): + '''Formatted print to sys.stdout or given stream. + + *print3options* -- some keyword arguments, like Python 3+ print. + ''' + if print3options: # like Python 3+ + f = print3options.get('file', None) or sys.stdout + if args: + f.write(fmt % args) + else: + f.write(fmt) + f.write(print3options.get('end', linesep)) + if print3options.get('flush', False): + f.flush() + elif args: + print(fmt % args) + else: + print(fmt) + + +def _refs(obj, named, *attrs, **kwds): + '''Return specific attribute objects of an object. + ''' + if named: + _N = _NamedRef + else: + def _N(_, o): + return o + + for a in attrs: # cf. inspect.getmembers() + if hasattr(obj, a): + yield _N(a, getattr(obj, a)) + if kwds: # kwds are _dir2() args + for a, o in _dir2(obj, **kwds): + yield _N(a, o) + + +def _repr(obj, clip=80): + '''Clip long repr() string. + ''' + try: # safe repr() + r = repr(obj).replace(linesep, '\\n') + except Exception: + r = 'N/A' + if len(r) > clip > 0: + h = (clip // 2) - 2 + if h > 0: + r = r[:h] + '....' + r[-h:] + return r + + +def _SI(size, K=1024, i='i'): + '''Return size as SI string. + ''' + if 1 < K <= size: + f = float(size) + for si in iter('KMGPTE'): + f /= K + if f < K: + return ' or %.1f %s%sB' % (f, si, i) + return '' + + +def _SI2(size, **kwds): + '''Return size as regular plus SI string. + ''' + return str(size) + _SI(size, **kwds) + + +# Type-specific referents functions + +def _cell_refs(obj, named): + try: # handle 'empty' cells + o = obj.cell_contents + if named: + o = _NamedRef('cell_contents', o) + yield o + except (AttributeError, ValueError): + pass + + +def _class_refs(obj, named): + '''Return specific referents of a class object. + ''' + return _refs(obj, named, '__class__', '__doc__', '__mro__', + '__name__', '__slots__', '__weakref__', + '__dict__') # __dict__ last + + +def _co_refs(obj, named): + '''Return specific referents of a code object. + ''' + return _refs(obj, named, pref='co_') + + +def _dict_refs(obj, named): + '''Return key and value objects of a dict/proxy. + ''' + try: + if named: + for k, v in _items(obj): + s = str(k) + yield _NamedRef('[K] ' + s, k) + yield _NamedRef('[V] ' + s + ': ' + _repr(v), v) + else: + for k, v in _items(obj): + yield k + yield v + except (KeyError, ReferenceError, TypeError) as x: + warnings.warn("Iterating '%s': %r" % (_classof(obj), x)) + + +def _enum_refs(obj, named): + '''Return specific referents of an enumerate object. + ''' + return _refs(obj, named, '__doc__') + + +def _exc_refs(obj, named): + '''Return specific referents of an Exception object. + ''' + # .message raises DeprecationWarning in Python 2.6 + return _refs(obj, named, 'args', 'filename', 'lineno', 'msg', 'text') # , 'message', 'mixed' + + +def _file_refs(obj, named): + '''Return specific referents of a file object. + ''' + return _refs(obj, named, 'mode', 'name') + + +def _frame_refs(obj, named): + '''Return specific referents of a frame object. + ''' + return _refs(obj, named, pref='f_') + + +def _func_refs(obj, named): + '''Return specific referents of a function or lambda object. + ''' + return _refs(obj, named, '__doc__', '__name__', '__code__', '__closure__', + pref='func_', excl=('func_globals',)) + + +def _gen_refs(obj, named): + '''Return the referent(s) of a generator (expression) object. + ''' + # only some gi_frame attrs + f = getattr(obj, 'gi_frame', None) + return _refs(f, named, 'f_locals', 'f_code') +# do not yield any items to keep generator intact +# for r in _refs(f, named, 'f_locals', 'f_code'): +# yield r +# for r in obj: +# yield r + + +def _im_refs(obj, named): + '''Return specific referents of a method object. + ''' + return _refs(obj, named, '__doc__', '__name__', '__code__', pref='im_') + + +def _inst_refs(obj, named): + '''Return specific referents of a class instance. + ''' + return _refs(obj, named, '__dict__', '__class__', slots='__slots__') + + +def _iter_refs(obj, named): + '''Return the referent(s) of an iterator object. + ''' + r = _getreferents(obj) # special case + return _refs(r, named, itor=_nameof(obj) or 'iteref') + + +def _module_refs(obj, named): + '''Return specific referents of a module object. + ''' + # ignore this very module + if obj.__name__ == __name__: + return () + # module is essentially a dict + return _dict_refs(obj.__dict__, named) + + +def _namedtuple_refs(obj, named): + '''Return specific referents of obj-as-sequence and slots but exclude dict. + ''' + for r in _refs(obj, named, '__class__', slots='__slots__'): + yield r + for r in obj: + yield r + + +def _prop_refs(obj, named): + '''Return specific referents of a property object. + ''' + return _refs(obj, named, '__doc__', pref='f') + + +def _seq_refs(obj, unused): # named unused for PyChecker + '''Return specific referents of a frozen/set, list, tuple and xrange object. + ''' + return obj # XXX for r in obj: yield r + + +def _stat_refs(obj, named): + '''Return referents of a os.stat object. + ''' + return _refs(obj, named, pref='st_') + + +def _statvfs_refs(obj, named): + '''Return referents of a os.statvfs object. + ''' + return _refs(obj, named, pref='f_') + + +def _tb_refs(obj, named): + '''Return specific referents of a traceback object. + ''' + return _refs(obj, named, pref='tb_') + + +def _type_refs(obj, named): + '''Return specific referents of a type object. + ''' + return _refs(obj, named, '__doc__', '__mro__', '__name__', + '__slots__', '__weakref__', '__dict__') + + +def _weak_refs(obj, unused): # named unused for PyChecker + '''Return weakly referent object. + ''' + try: # ignore 'key' of KeyedRef + return (obj(),) + except Exception: # XXX ReferenceError + return () + + +_all_refs = (None, _cell_refs, _class_refs, _co_refs, _dict_refs, _enum_refs, + _exc_refs, _file_refs, _frame_refs, _func_refs, _gen_refs, + _im_refs, _inst_refs, _iter_refs, _module_refs, _namedtuple_refs, + _prop_refs, _seq_refs, _stat_refs, _statvfs_refs, _tb_refs, + _type_refs, _weak_refs) + + +# Type-specific length functions + +def _len(obj): + '''Safe len(). + ''' + try: + return len(obj) + except TypeError: # no len() + return 0 + + +def _len_bytearray(obj): + '''Bytearray size. + ''' + return obj.__alloc__() + + +def _len_code(obj): # see .../Lib/test/test_sys.py + '''Length of code object (stack and variables only). + ''' + return (obj.co_stacksize + obj.co_nlocals + + _len(obj.co_freevars) + _len(obj.co_cellvars) - 1) + + +def _len_dict(obj): + '''Dict length in items (estimate). + ''' + n = len(obj) # active items + if n < 6: # ma_smalltable ... + n = 0 # ... in basicsize + else: # at least one unused + n = _power2(n + 1) + return n + + +def _len_frame(obj): + '''Length of a frame object. + ''' + c = getattr(obj, 'f_code', None) + if c: + n = _len_code(c) + else: + n = 0 + return n + + +_digit2p2 = 1 << (_sizeof_Cdigit << 3) +_digitmax = _digit2p2 - 1 # == (2 * PyLong_MASK + 1) +_digitlog = 1.0 / log(_digit2p2) + + +def _len_int(obj): + '''Length of multi-precision int (aka long) in digits. + ''' + if obj: + n, i = 1, abs(obj) + if i > _digitmax: + # no log(x[, base]) in Python 2.2 + n += int(log(i) * _digitlog) + else: # zero + n = 0 + return n + + +def _len_iter(obj): + '''Length (hint) of an iterator. + ''' + n = getattr(obj, '__length_hint__', None) + if n: + n = n() + else: # try len() + n = _len(obj) + return n + + +def _len_list(obj): + '''Length of list (estimate). + ''' + n = len(obj) + # estimate over-allocation + if n > 8: + n += 6 + (n >> 3) + elif n: + n += 4 + return n + + +def _len_module(obj): + '''Module length. + ''' + return _len(obj.__dict__) # _len(dir(obj)) + + +def _len_set(obj): + '''Length of frozen/set (estimate). + ''' + n = len(obj) + if n > 8: # assume half filled + n = _power2(n + n - 2) + elif n: # at least 8 + n = 8 + return n + + +def _len_slice(obj): + '''Slice length. + ''' + try: + return ((obj.stop - obj.start + 1) // obj.step) + except (AttributeError, TypeError): + return 0 + + +# REMOVED, see _Slots.__doc__ +# def _len_slots(obj): +# '''Slots length. +# ''' +# return len(obj) - 1 + + +def _len_struct(obj): + '''Struct length in bytes. + ''' + try: + return obj.size + except AttributeError: + return 0 + + +def _len_unicode(obj): + '''Unicode size. + ''' + return len(obj) + 1 + + +_all_lens = (None, _len, _len_bytearray, _len_code, _len_dict, + _len_frame, _len_int, _len_iter, _len_list, + _len_module, _len_set, _len_slice, _len_struct, + _len_unicode) # _len_array, _len_numpy, _len_slots + + +# More private functions and classes + +_old_style = '*' # marker +_new_style = '' # no marker + + +class _Claskey(object): + '''Wrapper for class objects. + ''' + __slots__ = ('_obj', '_sty') + + def __init__(self, obj, style): + self._obj = obj # XXX Weakref.ref(obj) + self._sty = style + + def __str__(self): + r = str(self._obj) + if r.endswith('>'): + r = '%s%s def>' % (r[:-1], self._sty) + elif self._sty is _old_style and not r.startswith('class '): + r = 'class %s%s def' % (r, self._sty) + else: + r = '%s%s def' % (r, self._sty) + return r + __repr__ = __str__ + + +# For most objects, the object type is used as the key in the +# _typedefs dict further below, except class and type objects +# and old-style instances. Those are wrapped with separate +# _Claskey or _Instkey instances to be able (1) to distinguish +# instances of different old-style classes by class, (2) to +# distinguish class (and type) instances from class (and type) +# definitions for new-style classes and (3) provide similar +# results for repr() and str() of new- and old-style classes +# and instances. + +_claskeys = {} # [id(obj)] = _Claskey() + + +def _claskey(obj, style): + '''Wrap an old- or new-style class object. + ''' + i = id(obj) + k = _claskeys.get(i, None) + if not k: + _claskeys[i] = k = _Claskey(obj, style) + return k + + +try: # MCCABE 19 + # no Class- and InstanceType in Python 3+ + _Types_ClassType = Types.ClassType + _Types_InstanceType = Types.InstanceType + + class _Instkey(object): + '''Wrapper for old-style class (instances). + ''' + __slots__ = ('_obj',) + + def __init__(self, obj): + self._obj = obj # XXX Weakref.ref(obj) + + def __str__(self): + t = _moduleof(self._obj), self._obj.__name__, _old_style + return '' % t + __repr__ = __str__ + + _instkeys = {} # [id(obj)] = _Instkey() + + def _instkey(obj): + '''Wrap an old-style class (instance). + ''' + i = id(obj) + k = _instkeys.get(i, None) + if not k: + _instkeys[i] = k = _Instkey(obj) + return k + + def _keytuple(obj): + '''Return class and instance keys for a class. + ''' + t = type(obj) + if t is _Types_InstanceType: + t = obj.__class__ + return _claskey(t, _old_style), _instkey(t) + elif t is _Types_ClassType: + return _claskey(obj, _old_style), _instkey(obj) + elif t is _Type_type: + return _claskey(obj, _new_style), obj + return None, None # not a class + + def _objkey(obj): + '''Return the key for any object. + ''' + k = type(obj) + if k is _Types_InstanceType: + k = _instkey(obj.__class__) + elif k is _Types_ClassType: + k = _claskey(obj, _old_style) + elif k is _Type_type: + k = _claskey(obj, _new_style) + return k + +except AttributeError: # Python 3+ + + def _keytuple(obj): # PYCHOK expected + '''Return class and instance keys for a class. + ''' + if type(obj) is _Type_type: # isclass(obj): + return _claskey(obj, _new_style), obj + return None, None # not a class + + def _objkey(obj): # PYCHOK expected + '''Return the key for any object. + ''' + k = type(obj) + if k is _Type_type: # isclass(obj): + k = _claskey(obj, _new_style) + return k + + +class _NamedRef(object): + '''Store referred object along + with the name of the referent. + ''' + __slots__ = ('name', 'ref') + + def __init__(self, name, ref): + self.name = name + self.ref = ref + + +# class _Slots(tuple): +# '''Wrapper class for __slots__ attribute at class definition. +# The instance-specific __slots__ attributes are stored in +# a "tuple-like" space inside the instance, see Luciano +# Ramalho, "Fluent Python", page 274+, O'Reilly, 2016 or +# at , then search for +# "Fluent Python" "Space Savings with the __slots__". +# ''' +# pass + + +# Kinds of _Typedefs +_i = _intern +_all_kinds = (_kind_static, _kind_dynamic, _kind_derived, _kind_ignored, _kind_inferred) = ( + _i('static'), _i('dynamic'), _i('derived'), _i('ignored'), _i('inferred')) +del _i + +_Not_vari = '' # non-variable item size + + +class _Typedef(object): + '''Type definition class. + ''' + __slots__ = { + 'base': 0, # basic size in bytes + 'item': 0, # item size in bytes + 'leng': None, # or _len_...() function + 'refs': None, # or _..._refs() function + 'both': None, # both data and code if True, code only if False + 'kind': None, # _kind_... value + 'type': None, # original type + 'vari': None} # item size attr name or _Not_vari + + def __init__(self, **kwds): + self.reset(**kwds) + + def __lt__(self, unused): # for Python 3+ + return True + + def __repr__(self): + return repr(self.args()) + + def __str__(self): + t = [str(self.base), str(self.item)] + for f in (self.leng, self.refs): + if f: + t.append(f.__name__) + else: + t.append('n/a') + if not self.both: + t.append('(code only)') + return ', '.join(t) + + def args(self): # as args tuple + '''Return all attributes as arguments tuple. + ''' + return (self.base, self.item, self.leng, self.refs, + self.both, self.kind, self.type) + + def dup(self, other=None, **kwds): + '''Duplicate attributes of dict or other typedef. + ''' + if other is None: + d = _dict_typedef.kwds() + else: + d = other.kwds() + d.update(kwds) + self.reset(**d) + + def flat(self, obj, mask=0): + '''Return the aligned flat size. + ''' + s = self.base + if self.leng and self.item > 0: # include items + s += self.leng(obj) * self.item + # workaround sys.getsizeof (and numpy?) bug ... some + # types are incorrectly sized in some Python versions + # (note, isinstance(obj, ()) == False) + if not isinstance(obj, _getsizeof_excls): + s = _getsizeof(obj, s) + if mask: # align + s = (s + mask) & ~mask + return s + + def format(self): + '''Return format dict. + ''' + i = self.item + if self.vari: + i = 'var' + c = n = '' + if not self.both: + c = ' (code only)' + if self.leng: + n = ' (%s)' % _nameof(self.leng) + return dict(base=self.base, item=i, leng=n, code=c, + kind=self.kind) + + def kwds(self): + '''Return all attributes as keywords dict. + ''' + return dict(base=self.base, both=self.both, + item=self.item, kind=self.kind, + leng=self.leng, refs=self.refs, + type=self.type, vari=self.vari) + + def save(self, t, base=0, heap=False): + '''Save this typedef plus its class typedef. + ''' + c, k = _keytuple(t) + if k and k not in _typedefs: # instance key + _typedefs[k] = self + if c and c not in _typedefs: # class key + if t.__module__ in _builtin_modules: + k = _kind_ignored # default + else: + k = self.kind + _typedefs[c] = _Typedef(base=_basicsize(type(t), base=base, heap=heap), + refs=_type_refs, + both=False, kind=k, type=t) + elif t not in _typedefs: + if not _isbuiltin2(t): # array, range, xrange in Python 2.x + s = ' '.join((self.vari, _moduleof(t), _nameof(t))) + s = '%r %s %s' % ((c, k), self.both, s.strip()) + raise KeyError('asizeof typedef %r bad: %s' % (self, s)) + + _typedefs[t] = _Typedef(base=_basicsize(t, base=base), + both=False, kind=_kind_ignored, type=t) + + def set(self, safe_len=False, **kwds): + '''Set one or more attributes. + ''' + if kwds: # double check + d = self.kwds() + d.update(kwds) + self.reset(**d) + if safe_len and self.item: + self.leng = _len + + def reset(self, base=0, item=0, leng=None, refs=None, + both=True, kind=None, type=None, vari=_Not_vari): + '''Reset all specified attributes. + ''' + if base < 0: + raise ValueError('invalid option: %s=%r' % ('base', base)) + else: + self.base = base + if item < 0: + raise ValueError('invalid option: %s=%r' % ('item', item)) + else: + self.item = item + if leng in _all_lens: # XXX or _callable(leng) + self.leng = leng + else: + raise ValueError('invalid option: %s=%r' % ('leng', leng)) + if refs in _all_refs: # XXX or _callable(refs) + self.refs = refs + else: + raise ValueError('invalid option: %s=%r' % ('refs', refs)) + if both in (False, True): + self.both = both + else: + raise ValueError('invalid option: %s=%r' % ('both', both)) + if kind in _all_kinds: + self.kind = kind + else: + raise ValueError('invalid option: %s=%r' % ('kind', kind)) + self.type = type + self.vari = vari or _Not_vari + if str(self.vari) != self.vari: + raise ValueError('invalid option: %s=%r' % ('vari', vari)) + + +_typedefs = {} # [key] = _Typedef() + + +def _typedef_both(t, base=0, item=0, leng=None, refs=None, + kind=_kind_static, heap=False, vari=_Not_vari): + '''Add new typedef for both data and code. + ''' + v = _Typedef(base=_basicsize(t, base=base), item=_itemsize(t, item), + refs=refs, leng=leng, + both=True, kind=kind, type=t, vari=vari) + v.save(t, base=base, heap=heap) + return v # for _dict_typedef + + +def _typedef_code(t, base=0, refs=None, kind=_kind_static, heap=False): + '''Add new typedef for code only. + ''' + v = _Typedef(base=_basicsize(t, base=base), + refs=refs, + both=False, kind=kind, type=t) + v.save(t, base=base, heap=heap) + return v # for _dict_typedef + + +# Static typedefs for data and code types +_typedef_both(complex) +_typedef_both(float) +_typedef_both(list, refs=_seq_refs, leng=_len_list, item=_sizeof_Cvoidp) # sizeof(PyObject*) +_typedef_both(tuple, refs=_seq_refs, leng=_len, item=_sizeof_Cvoidp) # sizeof(PyObject*) +_typedef_both(property, refs=_prop_refs) +_typedef_both(type(Ellipsis)) +_typedef_both(type(None)) + +# _Slots are "tuple-like", REMOVED see _Slots.__doc__ +# _typedef_both(_Slots, item=_sizeof_Cvoidp, +# leng=_len_slots, # length less one +# refs=None, # but no referents +# heap=True) # plus head + +# dict, dictproxy, dict_proxy and other dict-like types +_dict_typedef = _typedef_both(dict, item=_sizeof_CPyDictEntry, leng=_len_dict, refs=_dict_refs) +try: # only in Python 2.x + _typedef_both(Types.DictProxyType, item=_sizeof_CPyDictEntry, leng=_len_dict, refs=_dict_refs) +except AttributeError: # XXX any class __dict__ is in Python 3+? + _typedef_both(type(_Typedef.__dict__), item=_sizeof_CPyDictEntry, leng=_len_dict, refs=_dict_refs) +# other dict-like classes and types may be derived or inferred, +# provided the module and class name is listed here (see functions +# adict, _isdictclass and _infer_dict for further details) +_dict_classes = {'UserDict': ('IterableUserDict', 'UserDict'), + 'weakref': ('WeakKeyDictionary', 'WeakValueDictionary')} +try: # is essentially a dict + _typedef_both(Types.ModuleType, base=_dict_typedef.base, + item=_dict_typedef.item + _sizeof_CPyModuleObject, + leng=_len_module, refs=_module_refs) +except AttributeError: # missing + pass + +# Newer or obsolete types +try: + from array import array # array type + + def _array_kwds(obj): + if hasattr(obj, 'itemsize'): + v = 'itemsize' + else: + v = _Not_vari + # since item size varies by the array data type, set + # itemsize to 1 byte and use _len_array in bytes; note, + # function itemsize returns the actual size in bytes + # and function leng returns the length in number of items + return dict(leng=_len_array, item=_sizeof_Cbyte, vari=v) + + def _len_array(obj): + '''Array length (in bytes!). + ''' + return len(obj) * obj.itemsize + + _all_lens += (_len_array,) + + _typedef_both(array, **_array_kwds(array('d', []))) + + v = sys.version_info + _array_excl = (v[0] == 2 and v < (2, 7, 4)) or \ + (v[0] == 3 and v < (3, 2, 4)) + if _array_excl: # see function _typedef below + _getsizeof_excls_add(array) + + del v +except ImportError: # missing + _array_excl = array = None # see function _typedef below + +try: # bool has non-zero __itemsize__ in 3.0 + _typedef_both(bool) +except NameError: # missing + pass + +try: # ignore basestring + _typedef_both(basestring, leng=None) +except NameError: # missing + pass + +try: + if isbuiltin(buffer): # Python 2.2 + _typedef_both(type(buffer('')), item=_sizeof_Cbyte, leng=_len) # XXX len in bytes? + else: + _typedef_both(buffer, item=_sizeof_Cbyte, leng=_len) # XXX len in bytes? +except NameError: # missing + pass + +try: + _typedef_both(bytearray, item=_sizeof_Cbyte, leng=_len_bytearray) +except NameError: # bytearray new in 2.6, 3.0 + pass +try: + if type(bytes) is not type(str): # bytes is str in 2.6, bytes new in 2.6, 3.0 + _typedef_both(bytes, item=_sizeof_Cbyte, leng=_len) # bytes new in 2.6, 3.0 +except NameError: # missing + pass +# try: # XXX like bytes +# _typedef_both(str8, item=_sizeof_Cbyte, leng=_len) # str8 new in 2.6, 3.0 +# except NameError: # missing +# pass + +try: + _typedef_both(enumerate, refs=_enum_refs) +except NameError: # missing + pass + +try: # Exception is type in Python 3+ + _typedef_both(Exception, refs=_exc_refs) +except Exception: # missing + pass + +try: + _typedef_both(file, refs=_file_refs) +except NameError: # missing + pass + +try: + _typedef_both(frozenset, item=_sizeof_Csetentry, leng=_len_set, refs=_seq_refs) +except NameError: # missing + pass +try: + _typedef_both(set, item=_sizeof_Csetentry, leng=_len_set, refs=_seq_refs) +except NameError: # missing + pass + +try: # not callable() + _typedef_both(Types.GetSetDescriptorType) +except AttributeError: # missing + pass + +try: # if long exists, it is multi-precision ... + _typedef_both(long, item=_sizeof_Cdigit, leng=_len_int) + _typedef_both(int) # ... and int is fixed size +except NameError: # no long, only multi-precision int in Python 3+ + _typedef_both(int, item=_sizeof_Cdigit, leng=_len_int) + +try: # not callable() + _typedef_both(Types.MemberDescriptorType) +except AttributeError: # missing + pass + +try: + _typedef_both(type(NotImplemented)) # == Types.NotImplementedType +except NameError: # missing + pass + +try: # MCCABE 14 + import numpy # NumPy array, matrix, etc. + + def _isnumpy(obj): + '''Return True for a NumPy arange, array, matrix, etc. instance. + ''' + try: + return isinstance(obj, _numpy_types) or (hasattr(obj, 'nbytes') and + _moduleof(_classof(obj)).startswith('numpy')) + except (AttributeError, OSError, ValueError): # on iOS/Pythonista + return False + + def _len_numpy(obj): + '''NumPy array, matrix, etc. length (in bytes!). + ''' + return obj.nbytes # == obj.size * obj.itemsize + + def _numpy_kwds(obj): + b = _getsizeof(obj, 96) - obj.nbytes # XXX 96..144 typical? + # since item size depends on the nympy data type, set + # itemsize to 1 byte and use _len_numpy in bytes; note, + # function itemsize returns the actual size in bytes, + # function alen returns the length in number of items + return dict(base=b, item=_sizeof_Cbyte, # not obj.itemsize + leng=_len_numpy, + refs=_numpy_refs, + vari='itemsize') + + def _numpy_refs(obj, named): + '''Return the .base object for NumPy slices, views, etc. + ''' + return _refs(obj, named, 'base') + + _all_lens += (_len_numpy,) + _all_refs += (_numpy_refs,) + + _numpy_types = () + for d in (numpy.array(range(0)), numpy.arange(0), + # numpy.matrix(range(0)), + numpy.array([range(0)]), # shape=(1,0) + numpy.ma.masked_array([])): + t = type(d) + if t not in _numpy_types: + _numpy_types += (t,) + if _isnumpy(d): # double check + _typedef_both(t, **_numpy_kwds(d)) + else: + raise AssertionError('not %s: %r' % ('numpy', d)) + + # sizing numpy 1.13 arrays works fine, but 1.8 and older + # appears to suffer from sys.getsizeof() bug like array + v = tuple(map(int, numpy.__version__.split('.')[:2])) + _numpy_excl = v < (1, 9) + if _numpy_excl: # see function _typedef below + for t in _numpy_types: + _getsizeof_excls_add(t) + + del d, t, v +except ImportError: # no NumPy + _numpy_excl = numpy = None # see function _typedef below + + def _isnumpy(unused): # PYCHOK expected + '''Not applicable, no NumPy. + ''' + return False + +try: + _typedef_both(range) +except NameError: # missing + pass +try: + _typedef_both(xrange) +except NameError: # missing + pass + +try: + _typedef_both(reversed, refs=_enum_refs) +except NameError: # missing + pass + +try: + _typedef_both(slice, item=_sizeof_Cvoidp, leng=_len_slice) # XXX worst-case itemsize? +except NameError: # missing + pass + +try: + from os import stat + _typedef_both(type(stat(curdir)), refs=_stat_refs) # stat_result +except ImportError: # missing + pass + +try: + from os import statvfs + _typedef_both(type(statvfs(curdir)), refs=_statvfs_refs, # statvfs_result + item=_sizeof_Cvoidp, leng=_len) +except ImportError: # missing + pass + +try: + from struct import Struct # only in Python 2.5 and 3.0 + _typedef_both(Struct, item=_sizeof_Cbyte, leng=_len_struct) # len in bytes +except ImportError: # missing + pass + +try: + _typedef_both(Types.TracebackType, refs=_tb_refs) +except AttributeError: # missing + pass + +try: + _typedef_both(unicode, leng=_len_unicode, item=_sizeof_Cunicode) + _typedef_both(str, leng=_len, item=_sizeof_Cbyte) # 1-byte char +except NameError: # str is unicode + _typedef_both(str, leng=_len_unicode, item=_sizeof_Cunicode) + +try: # + _typedef_both(Weakref.KeyedRef, refs=_weak_refs, heap=True) # plus head +except AttributeError: # missing + pass + +try: # + _typedef_both(Weakref.ProxyType) +except AttributeError: # missing + pass + +try: # + _typedef_both(Weakref.ReferenceType, refs=_weak_refs) +except AttributeError: # missing + pass + +# some other, callable types +_typedef_code(object, kind=_kind_ignored) +_typedef_code(super, kind=_kind_ignored) +_typedef_code(_Type_type, kind=_kind_ignored) + +try: + _typedef_code(classmethod, refs=_im_refs) +except NameError: + pass +try: + _typedef_code(staticmethod, refs=_im_refs) +except NameError: + pass +try: + _typedef_code(Types.MethodType, refs=_im_refs) +except NameError: + pass + +try: # generator (expression), no itemsize, no len(), not callable() + _typedef_both(Types.GeneratorType, refs=_gen_refs) +except AttributeError: # missing + pass + +try: # + _typedef_code(Weakref.CallableProxyType, refs=_weak_refs) +except AttributeError: # missing + pass + +# any type-specific iterators +s = [_items({}), _keys({}), _values({})] +try: # reversed list and tuples iterators + s.extend([reversed([]), reversed(())]) +except NameError: # missing + pass + +try: # range iterator + s.append(xrange(1)) +except NameError: # missing + pass + +try: # callable-iterator + from re import finditer + s.append(finditer('', '')) +except ImportError: # missing + pass + +for t in _values(_typedefs): + if t.type and t.leng: + try: # create an (empty) instance + s.append(t.type()) + except TypeError: + pass +for t in s: + try: + i = iter(t) + _typedef_both(type(i), leng=_len_iter, refs=_iter_refs, item=0) # no itemsize! + except (KeyError, TypeError): # ignore non-iterables, duplicates, etc. + pass +del i, s, t + + +def _typedef(obj, derive=False, frames=False, infer=False): # MCCABE 25 + '''Create a new typedef for an object. + ''' + t = type(obj) + v = _Typedef(base=_basicsize(t, obj=obj), + kind=_kind_dynamic, type=t) +# _printf('new %r %r/%r %s', t, _basicsize(t), _itemsize(t), _repr(dir(obj))) + if ismodule(obj): # handle module like dict + v.dup(item=_dict_typedef.item + _sizeof_CPyModuleObject, + leng=_len_module, + refs=_module_refs) + elif _isframe(obj): + v.set(base=_basicsize(t, base=_sizeof_CPyFrameObject, obj=obj), + item=_itemsize(t), + leng=_len_frame, + refs=_frame_refs) + if not frames: # ignore frames + v.set(kind=_kind_ignored) + elif iscode(obj): + v.set(base=_basicsize(t, base=_sizeof_CPyCodeObject, obj=obj), + item=_sizeof_Cvoidp, + leng=_len_code, + refs=_co_refs, + both=False) # code only + elif _callable(obj): + if isclass(obj): # class or type + v.set(refs=_class_refs, + both=False) # code only + if _moduleof(obj) in _builtin_modules: + v.set(kind=_kind_ignored) + elif isbuiltin(obj): # function or method + v.set(both=False, # code only + kind=_kind_ignored) + elif isfunction(obj): + v.set(refs=_func_refs, + both=False) # code only + elif ismethod(obj): + v.set(refs=_im_refs, + both=False) # code only + elif isclass(t): # callable instance, e.g. SCons, + # handle like any other instance further below + v.set(item=_itemsize(t), safe_len=True, + refs=_inst_refs) # not code only! + else: + v.set(both=False) # code only + elif _issubclass(t, dict): + v.dup(kind=_kind_derived) + elif _isdictclass(obj) or (infer and _infer_dict(obj)): + v.dup(kind=_kind_inferred) + elif _iscell(obj): + v.set(item=_itemsize(t), refs=_cell_refs) + elif _isnamedtuple(obj): + v.set(refs=_namedtuple_refs) + elif numpy and _isnumpy(obj): # NumPy data + v.set(**_numpy_kwds(obj)) + if _numpy_excl: + _getsizeof_excls_add(t) + elif array and isinstance(obj, array): + v.set(**_array_kwds(obj)) + if _array_excl: + _getsizeof_excls_add(t) + elif _moduleof(obj) in _builtin_modules: + v.set(kind=_kind_ignored) + else: # assume an instance of some class + if derive: + p = _derive_typedef(t) + if p: # duplicate parent + v.dup(other=p, kind=_kind_derived) + return v + if _issubclass(t, Exception): + v.set(item=_itemsize(t), safe_len=True, + refs=_exc_refs, + kind=_kind_derived) + elif isinstance(obj, Exception): + v.set(item=_itemsize(t), safe_len=True, + refs=_exc_refs) + else: + v.set(item=_itemsize(t), safe_len=True, + refs=_inst_refs) + return v + + +class _Prof(object): + '''Internal type profile class. + ''' + high = 0 # largest size + number = 0 # number of (unique) objects + objref = None # largest obj (weakref) + total = 0 # total size + weak = False # objref is weakref(obj) + + def __cmp__(self, other): + if self.total < other.total: + return -1 + elif self.total > other.total: + return +1 + elif self.number < other.number: + return -1 + elif self.number > other.number: + return +1 + return 0 + + def __lt__(self, other): # for Python 3+ + return self.__cmp__(other) < 0 + + def format(self, clip=0, grand=None): + '''Return format dict. + ''' + if self.number > 1: # avg., plural + a, p = int(self.total / self.number), 's' + else: + a, p = self.total, '' + o = self.objref + if self.weak: + o = o() + t = _SI2(self.total) + if grand: + t += ' (%s)' % _p100(self.total, grand, prec=0) + return dict(avg=_SI2(a), high=_SI2(self.high), + lengstr=_lengstr(o), obj=_repr(o, clip=clip), + plural=p, total=t) + + def update(self, obj, size): + '''Update this profile. + ''' + self.number += 1 + self.total += size + if self.high < size: # largest + self.high = size + try: # prefer using weak ref + self.objref, self.weak = Weakref.ref(obj), True + except TypeError: + self.objref, self.weak = obj, False + + +class _Rank(object): + '''Internal largest object class. + ''' + __slots__ = { + 'deep': 0, # recursion depth + 'id': 0, # obj id + 'key': None, # Typedef + 'objref': None, # obj or Weakref.ref(obj) + 'pid': 0, # parent obj id + 'size': 0, # size in bytes + 'weak': False} # objref is Weakref.ref + + def __init__(self, key, obj, size, deep, pid): + self.deep = deep + self.id = id(obj) + self.key = key + try: # prefer using weak ref + self.objref, self.weak = Weakref.ref(obj), True + except TypeError: + self.objref, self.weak = obj, False + self.pid = pid + self.size = size + + def format(self, clip=0, id2x={}): + '''Return string. + ''' + o = self.objref + if self.weak: + o = o() + if self.deep > 0: + d = ' (at %s)' % (self.deep,) + else: + d = '' + if self.pid: + p = ', pix %s' % (id2x.get(self.pid, '?'),) + else: + p = '' + return '%s: %s%s, ix %d%s%s' % (_prepr(self.key, clip=clip), + _repr(o, clip=clip), _lengstr(o), id2x[self.id], d, p) + + +class _Seen(dict): + '''Internal obj visits counter. + ''' + + def again(self, key): + try: + s = self[key] + 1 + except KeyError: + s = 1 + if s > 0: + self[key] = s + + +# Public classes + +class Asized(object): + '''Stores the results of an **asized** object in the following + 4 attributes: + + *size* -- total size of the object (including referents) + + *flat* -- flat size of the object (in bytes) + + *name* -- name or ``repr`` of the object + + *refs* -- tuple containing an **Asized** instance for each referent + ''' + __slots__ = ('flat', 'name', 'refs', 'size') + + def __init__(self, size, flat, refs=(), name=None): + self.size = size # total size + self.flat = flat # flat size + self.name = name # name, repr or None + self.refs = tuple(refs) + + def __str__(self): + return 'size %r, flat %r, refs[%d], name %r' % ( + self.size, self.flat, len(self.refs), self.name) + + def format(self, format='%(name)s size=%(size)d flat=%(flat)d', + depth=-1, order_by='size', indent=''): + '''Format the size information of the object and of all + sized referents as a string. + + *format* -- Specifies the format per instance (with 'name', + 'size' and 'flat' as interpolation parameters) + + *depth* -- Recursion level up to which the referents are + printed (use -1 for unlimited) + + *order_by* -- Control sort order of referents, valid choices + are 'name', 'size' and 'flat' + + *indent* -- Optional indentation (default '') + ''' + t = indent + (format % dict(size=self.size, flat=self.flat, + name=self.name)) + if depth and self.refs: + rs = sorted(self.refs, key=lambda x: getattr(x, order_by), + reverse=order_by in ('size', 'flat')) + rs = [r.format(format=format, depth=depth - 1, order_by=order_by, + indent=indent + ' ') for r in rs] + t = '\n'.join([t] + rs) + return t + + def get(self, name, dflt=None): + '''Return the named referent (or *dflt* if not found). + ''' + for ref in self.refs: + if name == ref.name: + return ref + return dflt + + +class Asizer(object): + '''Sizer state and options to accumulate sizes. + ''' + _above_ = 1024 # rank only objs of size 1K+ + _align_ = 8 + _clip_ = 80 + _code_ = False + _cutoff_ = 0 # in percent + _derive_ = False + _detail_ = 0 # for Asized only + _frames_ = False + _infer_ = False + _limit_ = 100 + _stats_ = 0 + + _depth = 0 # deepest recursion + _excl_d = None # {} + _ign_d = _kind_ignored + _incl = '' # or ' (incl. code)' + _mask = 7 # see _align_ + _missed = 0 # due to errors + _profile = False # no profiling + _profs = None # {} + _ranked = 0 + _ranks = [] # sorted by decreasing size + _seen = None # {} + _stream = None # I/O stream for printing + _total = 0 # total size + + def __init__(self, **opts): + '''New **Asizer** accumulator. + + See this module documentation for more details. + See method **reset** for all available options and defaults. + ''' + self._excl_d = {} + self.reset(**opts) + + def _c100(self, stats): + '''Cutoff as percentage (for backward compatibility) + ''' + s = int(stats) + c = int((stats - s) * 100.0 + 0.5) or self.cutoff + return s, c + + def _clear(self): + '''Clear state. + ''' + self._depth = 0 # recursion depth reached + self._incl = '' # or ' (incl. code)' + self._missed = 0 # due to errors + self._profile = False + self._profs = {} + self._ranked = 0 + self._ranks = [] + self._seen = _Seen() + self._total = 0 # total size + for k in _keys(self._excl_d): + self._excl_d[k] = 0 + # don't size, profile or rank private, possibly large objs + m = sys.modules[__name__] + self.exclude_objs(self, self._excl_d, self._profs, self._ranks, + self._seen, m, m.__dict__, m.__doc__, + _typedefs) + + def _nameof(self, obj): + '''Return the object's name. + ''' + return _nameof(obj, '') or self._repr(obj) + + def _prepr(self, obj): + '''Like **prepr()**. + ''' + return _prepr(obj, clip=self._clip_) + + def _printf(self, fmt, *args, **print3options): + '''Print to sys.stdout or the configured stream if any is + specified and if the file keyword argument is not already + set in the **print3options** for this specific call. + ''' + if self._stream and not print3options.get('file', None): + if args: + fmt = fmt % args + _printf(fmt, file=self._stream, **print3options) + else: + _printf(fmt, *args, **print3options) + + def _prof(self, key): + '''Get _Prof object. + ''' + p = self._profs.get(key, None) + if not p: + self._profs[key] = p = _Prof() + self.exclude_objs(p) # XXX superfluous? + return p + + def _rank(self, key, obj, size, deep, pid): + '''Rank 100 largest objects by size. + ''' + rs = self._ranks + # bisect, see + i, j = 0, len(rs) + while i < j: + m = (i + j) // 2 + if size < rs[m].size: + i = m + 1 + else: + j = m + if i < 100: + r = _Rank(key, obj, size, deep, pid) + rs.insert(i, r) + self.exclude_objs(r) # XXX superfluous? + while len(rs) > 100: + rs.pop() + # self._ranks[:] = rs[:100] + self._ranked += 1 + + def _repr(self, obj): + '''Like ``repr()``. + ''' + return _repr(obj, clip=self._clip_) + + def _sizer(self, obj, pid, deep, sized): # MCCABE 19 + '''Size an object, recursively. + ''' + s, f, i = 0, 0, id(obj) + if i not in self._seen: + self._seen[i] = 1 + elif deep or self._seen[i]: + # skip obj if seen before + # or if ref of a given obj + self._seen.again(i) + if sized: + s = sized(s, f, name=self._nameof(obj)) + self.exclude_objs(s) + return s # zero + else: # deep == seen[i] == 0 + self._seen.again(i) + try: + k, rs = _objkey(obj), [] + if k in self._excl_d: + self._excl_d[k] += 1 + else: + v = _typedefs.get(k, None) + if not v: # new typedef + _typedefs[k] = v = _typedef(obj, derive=self._derive_, + frames=self._frames_, + infer=self._infer_) + if (v.both or self._code_) and v.kind is not self._ign_d: + s = f = v.flat(obj, self._mask) # flat size + if self._profile: + # profile based on *flat* size + self._prof(k).update(obj, s) + # recurse, but not for nested modules + if v.refs and deep < self._limit_ \ + and not (deep and ismodule(obj)): + # add sizes of referents + z, d = self._sizer, deep + 1 + if sized and deep < self._detail_: + # use named referents + self.exclude_objs(rs) + for o in v.refs(obj, True): + if isinstance(o, _NamedRef): + r = z(o.ref, i, d, sized) + r.name = o.name + else: + r = z(o, i, d, sized) + r.name = self._nameof(o) + rs.append(r) + s += r.size + else: # just size and accumulate + for o in v.refs(obj, False): + s += z(o, i, d, None) + # deepest recursion reached + if self._depth < d: + self._depth = d + if self._stats_ and s > self._above_ > 0: + # rank based on *total* size + self._rank(k, obj, s, deep, pid) + except RuntimeError: # XXX RecursionLimitExceeded: + self._missed += 1 + if not deep: + self._total += s # accumulate + if sized: + s = sized(s, f, name=self._nameof(obj), refs=rs) + self.exclude_objs(s) + return s + + def _sizes(self, objs, sized=None): + '''Return the size or an **Asized** instance for each + given object plus the total size. The total includes + the size of duplicates only once. + ''' + self.exclude_refs(*objs) # skip refs to objs + s, t = {}, [] + self.exclude_objs(s, t) + for o in objs: + i = id(o) + if i in s: # duplicate + self._seen.again(i) + else: + s[i] = self._sizer(o, 0, 0, sized) + t.append(s[i]) + return tuple(t) + + @property + def above(self): + '''Get the large object size threshold (int). + ''' + return self._above_ + + @property + def align(self): + '''Get the size alignment (int). + ''' + return self._align_ + + def asized(self, *objs, **opts): + '''Size each object and return an **Asized** instance with + size information and referents up to the given detail + level (and with modified options, see method **set**). + + If only one object is given, the return value is the + **Asized** instance for that object. The **Asized** size + of duplicate and ignored objects will be zero. + ''' + if opts: + self.set(**opts) + t = self._sizes(objs, Asized) + if len(t) == 1: + t = t[0] + return t + + def asizeof(self, *objs, **opts): + '''Return the combined size of the given objects + (with modified options, see method **set**). + ''' + if opts: + self.set(**opts) + self.exclude_refs(*objs) # skip refs to objs + return sum(self._sizer(o, 0, 0, None) for o in objs) + + def asizesof(self, *objs, **opts): + '''Return the individual sizes of the given objects + (with modified options, see method **set**). + + The size of duplicate and ignored objects will be zero. + ''' + if opts: + self.set(**opts) + return self._sizes(objs, None) + + @property + def clip(self): + '''Get the clipped string length (int). + ''' + return self._clip_ + + @property + def code(self): + '''Size (byte) code (bool). + ''' + return self._code_ + + @property + def cutoff(self): + '''Stats cutoff (int). + ''' + return self._cutoff_ + + @property + def derive(self): + '''Derive types (bool). + ''' + return self._derive_ + + @property + def detail(self): + '''Get the detail level for **Asized** refs (int). + ''' + return self._detail_ + + @property + def duplicate(self): + '''Get the number of duplicate objects seen so far (int). + ''' + return sum(1 for v in _values(self._seen) if v > 1) # == len + + def exclude_objs(self, *objs): + '''Exclude the specified objects from sizing, profiling and ranking. + ''' + for o in objs: + self._seen.setdefault(id(o), -1) + + def exclude_refs(self, *objs): + '''Exclude any references to the specified objects from sizing. + + While any references to the given objects are excluded, the + objects will be sized if specified as positional arguments + in subsequent calls to methods **asizeof** and **asizesof**. + ''' + for o in objs: + self._seen.setdefault(id(o), 0) + + def exclude_types(self, *objs): + '''Exclude the specified object instances and types from sizing. + + All instances and types of the given objects are excluded, + even objects specified as positional arguments in subsequent + calls to methods **asizeof** and **asizesof**. + ''' + for o in objs: + for t in _keytuple(o): + if t and t not in self._excl_d: + self._excl_d[t] = 0 + + @property + def excluded(self): + '''Get the types being excluded (tuple). + ''' + return tuple(_keys(self._excl_d)) + + @property + def frames(self): + '''Ignore stack frames (bool). + ''' + return self._frames_ + + @property + def ignored(self): + '''Ignore certain types (bool). + ''' + return True if self._ign_d else False + + @property + def infer(self): + '''Infer types (bool). + ''' + return self._infer_ + + @property + def limit(self): + '''Get the recursion limit (int). + ''' + return self._limit_ + + @property + def missed(self): + '''Get the number of objects missed due to errors (int). + ''' + return self._missed + + def print_largest(self, w=0, cutoff=0, **print3options): + '''Print the largest objects. + + The available options and defaults are: + + *w=0* -- indentation for each line + + *cutoff=100* -- number of largest objects to print + + *print3options* -- some keyword arguments, like Python 3+ print + ''' + c = int(cutoff) if cutoff else self._cutoff_ + n = min(len(self._ranks), max(c, 0)) + s = self._above_ + if n > 0 and s > 0: + self._printf('%s%*d largest object%s (of %d over %d bytes%s)', linesep, + w, n, _plural(n), self._ranked, s, _SI(s), **print3options) + id2x = dict((r.id, i) for i, r in enumerate(self._ranks)) + for r in self._ranks[:n]: + s, t = r.size, r.format(self._clip_, id2x) + self._printf('%*d bytes%s: %s', w, s, _SI(s), t, **print3options) + + def print_profiles(self, w=0, cutoff=0, **print3options): + '''Print the profiles above *cutoff* percentage. + + The available options and defaults are: + + *w=0* -- indentation for each line + + *cutoff=0* -- minimum percentage printed + + *print3options* -- some keyword arguments, like Python 3+ print + ''' + # get the profiles with non-zero size or count + t = [(v, k) for k, v in _items(self._profs) if v.total > 0 or v.number > 1] + if (len(self._profs) - len(t)) < 9: # just show all + t = [(v, k) for k, v in _items(self._profs)] + if t: + s = '' + if self._total: + s = ' (% of grand total)' + c = int(cutoff) if cutoff else self._cutoff_ + C = int(c * 0.01 * self._total) + else: + C = c = 0 + self._printf('%s%*d profile%s: total%s, average, and largest flat size%s: largest object', + linesep, w, len(t), _plural(len(t)), s, self._incl, **print3options) + r = len(t) + for v, k in sorted(t, reverse=True): + s = 'object%(plural)s: %(total)s, %(avg)s, %(high)s: %(obj)s%(lengstr)s' % v.format(self._clip_, self._total) + self._printf('%*d %s %s', w, v.number, self._prepr(k), s, **print3options) + r -= 1 + if r > 1 and v.total < C: + self._printf('%+*d profiles below cutoff (%.0f%%)', w, r, c) + break + z = len(self._profs) - len(t) + if z > 0: + self._printf('%+*d %r object%s', w, z, 'zero', _plural(z), **print3options) + + def print_stats(self, objs=(), opts={}, sized=(), sizes=(), stats=3, **print3options): + '''Prints the statistics. + + The available options and defaults are: + + *w=0* -- indentation for each line + + *objs=()* -- optional, list of objects + + *opts={}* -- optional, dict of options used + + *sized=()* -- optional, tuple of **Asized** instances returned + + *sizes=()* -- optional, tuple of sizes returned + + *stats=3* -- print stats, see function **asizeof** + + *print3options* -- some keyword arguments, like Python 3+ print + ''' + s = min(opts.get('stats', stats) or 0, self.stats) + if s > 0: # print stats + w = len(str(self.missed + self.seen + self.total)) + 1 + t = c = '' + o = _kwdstr(**opts) + if o and objs: + c = ', ' + # print header line(s) + if sized and objs: + n = len(objs) + if n > 1: + self._printf('%sasized(...%s%s) ...', linesep, c, o, **print3options) + for i in range(n): # no enumerate in Python 2.2.3 + self._printf('%*d: %s', w - 1, i, sized[i], **print3options) + else: + self._printf('%sasized(%s): %s', linesep, o, sized, **print3options) + elif sizes and objs: + self._printf('%sasizesof(...%s%s) ...', linesep, c, o, **print3options) + for z, o in zip(sizes, objs): + self._printf('%*d bytes%s%s: %s', w, z, _SI(z), self._incl, self._repr(o), **print3options) + else: + if objs: + t = self._repr(objs) + self._printf('%sasizeof(%s%s%s) ...', linesep, t, c, o, **print3options) + # print summary + self.print_summary(w=w, objs=objs, **print3options) + # for backward compatibility, cutoff from fractional stats + s, c = self._c100(s) + self.print_largest(w=w, cutoff=c if s < 2 else 10, **print3options) + if s > 1: # print profile + self.print_profiles(w=w, cutoff=c, **print3options) + if s > 2: # print typedefs + self.print_typedefs(w=w, **print3options) # PYCHOK .print_largest? + + def print_summary(self, w=0, objs=(), **print3options): + '''Print the summary statistics. + + The available options and defaults are: + + *w=0* -- indentation for each line + + *objs=()* -- optional, list of objects + + *print3options* -- some keyword arguments, like Python 3+ print + ''' + self._printf('%*d bytes%s%s', w, self._total, _SI(self._total), self._incl, **print3options) + if self._mask: + self._printf('%*d byte aligned', w, self._mask + 1, **print3options) + self._printf('%*d byte sizeof(void*)', w, _sizeof_Cvoidp, **print3options) + n = len(objs or ()) + self._printf('%*d object%s %s', w, n, _plural(n), 'given', **print3options) + n = self.sized + self._printf('%*d object%s %s', w, n, _plural(n), 'sized', **print3options) + if self._excl_d: + n = sum(_values(self._excl_d)) + self._printf('%*d object%s %s', w, n, _plural(n), 'excluded', **print3options) + n = self.seen + self._printf('%*d object%s %s', w, n, _plural(n), 'seen', **print3options) + n = self.ranked + if n > 0: + self._printf('%*d object%s %s', w, n, _plural(n), 'ranked', **print3options) + n = self.missed + self._printf('%*d object%s %s', w, n, _plural(n), 'missed', **print3options) + n = self.duplicate + self._printf('%*d duplicate%s', w, n, _plural(n), **print3options) + if self._depth > 0: + self._printf('%*d deepest recursion', w, self._depth, **print3options) + + def print_typedefs(self, w=0, **print3options): + '''Print the types and dict tables. + + The available options and defaults are: + + *w=0* -- indentation for each line + + *print3options* -- some keyword arguments, like Python 3+ print + ''' + for k in _all_kinds: + # XXX Python 3+ doesn't sort type objects + t = [(self._prepr(a), v) for a, v in _items(_typedefs) + if v.kind == k and (v.both or self._code_)] + if t: + self._printf('%s%*d %s type%s: basicsize, itemsize, _len_(), _refs()', + linesep, w, len(t), k, _plural(len(t)), **print3options) + for a, v in sorted(t): + self._printf('%*s %s: %s', w, '', a, v, **print3options) + # dict and dict-like classes + t = sum(len(v) for v in _values(_dict_classes)) + if t: + self._printf('%s%*d dict/-like classes:', linesep, w, t, **print3options) + for m, v in _items(_dict_classes): + self._printf('%*s %s: %s', w, '', m, self._prepr(v), **print3options) + + @property + def ranked(self): + '''Get the number objects ranked by size so far (int). + ''' + return self._ranked + + def reset(self, above=1024, align=8, clip=80, code=False, # PYCHOK too many args + cutoff=10, derive=False, detail=0, frames=False, ignored=True, + infer=False, limit=100, stats=0, stream=None, **extra): + '''Reset sizing options, state, etc. to defaults. + + The available options and default values are: + + *above=0* -- threshold for largest objects stats + + *align=8* -- size alignment + + *code=False* -- incl. (byte)code size + + *cutoff=10* -- limit large objects or profiles stats + + *derive=False* -- derive from super type + + *detail=0* -- **Asized** refs level + + *frames=False* -- ignore frame objects + + *ignored=True* -- ignore certain types + + *infer=False* -- try to infer types + + *limit=100* -- recursion limit + + *stats=0* -- print statistics, see function **asizeof** + + *stream=None* -- output stream for printing + + See function **asizeof** for a description of the options. + ''' + if extra: + t = _plural(len(extra)), _kwdstr(**extra) + raise KeyError('invalid option%s: %s' % t) + # options + self._above_ = above + self._align_ = align + self._clip_ = clip + self._code_ = code + self._cutoff_ = cutoff + self._derive_ = derive + self._detail_ = detail # for Asized only + self._frames_ = frames + self._infer_ = infer + self._limit_ = limit + self._stats_ = stats + self._stream = stream + if ignored: + self._ign_d = _kind_ignored + else: + self._ign_d = None + # clear state + self._clear() + self.set(align=align, code=code, cutoff=cutoff, stats=stats) + + @property + def seen(self): + '''Get the number objects seen so far (int). + ''' + return sum(v for v in _values(self._seen) if v > 0) + + def set(self, above=None, align=None, code=None, cutoff=None, + frames=None, detail=None, limit=None, stats=None): + '''Set some sizing options. See also **reset**. + + The available options are: + + *above* -- threshold for largest objects stats + + *align* -- size alignment + + *code* -- incl. (byte)code size + + *cutoff* -- limit large objects or profiles stats + + *detail* -- **Asized** refs level + + *frames* -- size or ignore frame objects + + *limit* -- recursion limit + + *stats* -- print statistics, see function **asizeof** + + Any options not set remain unchanged from the previous setting. + ''' + # adjust + if above is not None: + self._above_ = int(above) + if align is not None: + self._align_ = align + if align > 1: + self._mask = align - 1 + if (self._mask & align) != 0: + raise ValueError('invalid option: %s=%r' % ('align', align)) + else: + self._mask = 0 + if code is not None: + self._code_ = code + if code: # incl. (byte)code + self._incl = ' (incl. code)' + if detail is not None: + self._detail_ = detail + if frames is not None: + self._frames_ = frames + if limit is not None: + self._limit_ = limit + if stats is not None: + if stats < 0: + raise ValueError('invalid option: %s=%r' % ('stats', stats)) + # for backward compatibility, cutoff from fractional stats + s, c = self._c100(stats) + self._cutoff_ = int(cutoff) if cutoff else c + self._stats_ = s + self._profile = s > 1 # profile types + + @property + def sized(self): + '''Get the number objects sized so far (int). + ''' + return sum(1 for v in _values(self._seen) if v > 0) + + @property + def stats(self): + '''Get the stats and cutoff setting (float). + ''' + return self._stats_ # + (self._cutoff_ * 0.01) + + @property + def total(self): + '''Get the total size (in bytes) accumulated so far. + ''' + return self._total + + +# Public functions + +def adict(*classes): + '''Install one or more classes to be handled as dict. + ''' + a = True + for c in classes: + # if class is dict-like, add class + # name to _dict_classes[module] + if isclass(c) and _infer_dict(c): + t = _dict_classes.get(c.__module__, ()) + if c.__name__ not in t: # extend tuple + _dict_classes[c.__module__] = t + (c.__name__,) + else: # not a dict-like class + a = False + return a # all installed if True + + +_asizer = Asizer() + + +def asized(*objs, **opts): + '''Return a tuple containing an **Asized** instance for each + object passed as positional argument. + + The available options and defaults are: + + *above=0* -- threshold for largest objects stats + + *align=8* -- size alignment + + *code=False* -- incl. (byte)code size + + *cutoff=10* -- limit large objects or profiles stats + + *derive=False* -- derive from super type + + *detail=0* -- Asized refs level + + *frames=False* -- ignore stack frame objects + + *ignored=True* -- ignore certain types + + *infer=False* -- try to infer types + + *limit=100* -- recursion limit + + *stats=0* -- print statistics + + If only one object is given, the return value is the **Asized** + instance for that object. Otherwise, the length of the returned + tuple matches the number of given objects. + + The **Asized** size of duplicate and ignored objects will be zero. + + Set *detail* to the desired referents level and *limit* to the + maximum recursion depth. + + See function **asizeof** for descriptions of the other options. + ''' + _asizer.reset(**opts) + if objs: + t = _asizer.asized(*objs) + _asizer.print_stats(objs, opts=opts, sized=t) # show opts as _kwdstr + _asizer._clear() + else: + t = () + return t + + +def asizeof(*objs, **opts): + '''Return the combined size (in bytes) of all objects passed + as positional arguments. + + The available options and defaults are: + + *above=0* -- threshold for largest objects stats + + *align=8* -- size alignment + + *clip=80* -- clip ``repr()`` strings + + *code=False* -- incl. (byte)code size + + *cutoff=10* -- limit large objects or profiles stats + + *derive=False* -- derive from super type + + *frames=False* -- ignore stack frame objects + + *ignored=True* -- ignore certain types + + *infer=False* -- try to infer types + + *limit=100* -- recursion limit + + *stats=0* -- print statistics + + Set *align* to a power of 2 to align sizes. Any value less + than 2 avoids size alignment. + + If *all* is True and if no positional arguments are supplied. + size all current gc objects, including module, global and stack + frame objects. + + A positive *clip* value truncates all repr() strings to at + most *clip* characters. + + The (byte)code size of callable objects like functions, + methods, classes, etc. is included only if *code* is True. + + If *derive* is True, new types are handled like an existing + (super) type provided there is one and only of those. + + By default certain base types like object, super, etc. are + ignored. Set *ignored* to False to include those. + + If *infer* is True, new types are inferred from attributes + (only implemented for dict types on callable attributes + as get, has_key, items, keys and values). + + Set *limit* to a positive value to accumulate the sizes of + the referents of each object, recursively up to the limit. + Using *limit=0* returns the sum of the flat sizes of the + given objects. High *limit* values may cause runtime errors + and miss objects for sizing. + + A positive value for *stats* prints up to 9 statistics, (1) + a summary of the number of objects sized and seen and a list + of the largests objects with size over *above* bytes, (2) a + simple profile of the sized objects by type and (3+) up to 6 + tables showing the static, dynamic, derived, ignored, inferred + and dict types used, found respectively installed. + The fractional part of the *stats* value (x 100) is the number + of largest objects shown for (*stats*1.+) or the cutoff + percentage for simple profiles for (*stats*=2.+). For example, + *stats=1.10* shows the summary and the 10 largest objects, + also the default. + + See this module documentation for the definition of flat size. + ''' + t, p, x = _objs_opts_x(objs, **opts) + _asizer.reset(**p) + if t: + if x: # don't size, profile or rank _getobjects tuple + _asizer.exclude_objs(t) + s = _asizer.asizeof(*t) + _asizer.print_stats(objs=t, opts=opts) # show opts as _kwdstr + _asizer._clear() + else: + s = 0 + return s + + +def asizesof(*objs, **opts): + '''Return a tuple containing the size (in bytes) of all objects + passed as positional arguments. + + The available options and defaults are: + + *above=1024* -- threshold for largest objects stats + + *align=8* -- size alignment + + *clip=80* -- clip ``repr()`` strings + + *code=False* -- incl. (byte)code size + + *cutoff=10* -- limit large objects or profiles stats + + *derive=False* -- derive from super type + + *frames=False* -- ignore stack frame objects + + *ignored=True* -- ignore certain types + + *infer=False* -- try to infer types + + *limit=100* -- recursion limit + + *stats=0* -- print statistics + + See function **asizeof** for a description of the options. + + The length of the returned tuple equals the number of given + objects. + + The size of duplicate and ignored objects will be zero. + ''' + _asizer.reset(**opts) + if objs: + t = _asizer.asizesof(*objs) + _asizer.print_stats(objs, opts=opts, sizes=t) # show opts as _kwdstr + _asizer._clear() + else: + t = () + return t + + +def _typedefof(obj, save=False, **opts): + '''Get the typedef for an object. + ''' + k = _objkey(obj) + v = _typedefs.get(k, None) + if not v: # new typedef + v = _typedef(obj, **opts) + if save: + _typedefs[k] = v + return v + + +def basicsize(obj, **opts): + '''Return the basic size of an object (in bytes). + + The available options and defaults are: + + *derive=False* -- derive type from super type + + *infer=False* -- try to infer types + + *save=False* -- save the object's type definition if new + + See this module documentation for the definition of *basic size*. + ''' + b = t = _typedefof(obj, **opts) + if t: + b = t.base + return b + + +def flatsize(obj, align=0, **opts): + '''Return the flat size of an object (in bytes), optionally aligned + to the given power of 2. + + See function **basicsize** for a description of other available options. + + See this module documentation for the definition of *flat size*. + ''' + f = t = _typedefof(obj, **opts) + if t: + if align > 1: + m = align - 1 + if (align & m) != 0: + raise ValueError('invalid option: %s=%r' % ('align', align)) + else: + m = 0 + f = t.flat(obj, mask=m) + return f + + +def itemsize(obj, **opts): + '''Return the item size of an object (in bytes). + + See function **basicsize** for a description of the available options. + + See this module documentation for the definition of *item size*. + ''' + i = t = _typedefof(obj, **opts) + if t: + i, v = t.item, t.vari + if v and i == _sizeof_Cbyte: + i = getattr(obj, v, i) + return i + + +def leng(obj, **opts): + '''Return the length of an object (in items). + + See function **basicsize** for a description of the available options. + ''' + n = t = _typedefof(obj, **opts) + if t: + n = t.leng + if n and _callable(n): + i, v, n = t.item, t.vari, n(obj) + if v and i == _sizeof_Cbyte: + i = getattr(obj, v, i) + if i > _sizeof_Cbyte: + n = n // i + return n + + +def named_refs(obj, **opts): + '''Return all named **referents** of an object (re-using + functionality from **asizeof**). + + Does not return un-named *referents*, e.g. objects in a list. + + See function **basicsize** for a description of the available options. + ''' + rs = [] + v = _typedefof(obj, **opts) + if v: + v = v.refs + if v and _callable(v): + for r in v(obj, True): + try: + rs.append((r.name, r.ref)) + except AttributeError: + pass + return rs + + +def refs(obj, **opts): + '''Return (a generator for) specific *referents* of an object. + + See function **basicsize** for a description of the available options. + ''' + v = _typedefof(obj, **opts) + if v: + v = v.refs + if v and _callable(v): + v = v(obj, False) + return v + + +if __name__ == '__main__': + + if '-v' in sys.argv: + import platform + print('%s %s (Python %s %s)' % (__file__, __version__, + sys.version.split()[0], + platform.architecture()[0])) + + elif '-types' in sys.argv: # print static _typedefs + n = len(_typedefs) + w = len(str(n)) * ' ' + _printf('%s%d type definitions: %s and %s, kind ... %s', linesep, + n, 'basic-', 'itemsize (leng)', '-type[def]s') + for k, v in sorted((_prepr(k), v) for k, v in _items(_typedefs)): + s = '%(base)s and %(item)s%(leng)s, %(kind)s%(code)s' % v.format() + _printf('%s %s: %s', w, k, s) + + else: + gc = None + if '-gc' in sys.argv: + try: + import gc # PYCHOK expected + gc.collect() + except ImportError: + pass + + frames = '-frames' in sys.argv + + # just an example + asizeof(all=True, frames=frames, stats=1, above=1024) # print summary + 10 largest + + if gc: + print('gc.collect() %d' % (gc.collect(),)) + +# License from the initial version of this source file follows: + +# -------------------------------------------------------------------- +# Copyright (c) 2002-2019 -- ProphICy Semiconductor, Inc. +# All rights reserved. +# +# Redistribution and use in source and binary forms, with or without +# modification, are permitted provided that the following conditions +# are met: +# +# - Redistributions of source code must retain the above copyright +# notice, this list of conditions and the following disclaimer. +# +# - Redistributions in binary form must reproduce the above copyright +# notice, this list of conditions and the following disclaimer in +# the documentation and/or other materials provided with the +# distribution. +# +# - Neither the name of ProphICy Semiconductor, Inc. nor the names +# of its contributors may be used to endorse or promote products +# derived from this software without specific prior written +# permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS +# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE +# COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, +# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) +# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, +# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) +# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED +# OF THE POSSIBILITY OF SUCH DAMAGE. +# -------------------------------------------------------------------- diff --git a/pyfair/facil/test_data_split.py b/pyfair/facil/test_data_split.py new file mode 100644 index 0000000..0a80dc4 --- /dev/null +++ b/pyfair/facil/test_data_split.py @@ -0,0 +1,204 @@ +# coding: utf-8 + + +import numpy as np +# import pdb +from pyfair.facil.utils_const import synthetic_dat + +from pyfair.facil.data_split import ( + sklearn_k_fold_cv, sklearn_stratify, manual_repetitive, + scale_normalize_helper, scale_normalize_data, + get_splited_set_acdy, sitch_cross_validation, + situation_split1, situation_split2, situation_split3, + manual_cross_valid) + + +nb_inst, nb_lbl, nb_feat = 21, 3, 5 +nb_cv, k = 2, 1 # or 2,3,5 +X, y = synthetic_dat(nb_lbl, nb_inst, nb_feat) + + +def test_sklearn(): + si = sklearn_k_fold_cv(nb_cv, y) + assert len(si) == nb_cv + assert all([len(j) + len(k) == nb_inst for j, k in si]) + si = sklearn_stratify(nb_cv, y, X) + assert len(si) == nb_cv + assert all([len(j) + len(k) == nb_inst for j, k in si]) + + i_trn, i_tst = si[k] + (_, X_val, _, + _, y_val, _) = get_splited_set_acdy( + np.array(X), np.array(y), [i_trn, [], i_tst]) + assert not (X_val or y_val) + + for gen in [False, True]: + si = manual_repetitive(nb_cv, y, gen) + assert np.shape(si) == (nb_cv, nb_inst) + + for typ in ['standard', 'min_max', 'min_abs', 'normalize']: + scaler = scale_normalize_helper(typ) # , X) + scaler, X_trn, X_val, X_tst = scale_normalize_data( + scaler, X, [], X) + assert np.shape(X_trn) == np.shape(X_tst) + return + + +def test_CV_new(): + si = sitch_cross_validation(nb_cv, y, 'cv2') + assert all([len(j) + len(k) == nb_inst for j, k in si]) + # pdb.set_trace() + si = sitch_cross_validation(nb_cv, y, 'cv3') + assert all([len(i) + len(j) + len( + k) == nb_inst for i, j, k in si]) + # pdb.set_trace() + si = manual_cross_valid(5, y) + assert len(si) == 5 + # pdb.set_trace() + + pr_trn, pr_tst = .7, .2 + si = situation_split1(y, pr_trn, None) # si,= + assert len(si[0][0]) + len(si[0][1]) == nb_inst + # pdb.set_trace() + si = situation_split1(y, pr_trn, pr_tst) # si,= + assert sum([len(i) for i in si[0]]) == nb_inst + # pdb.set_trace() + + si = situation_split2(pr_trn, nb_cv, y) + assert all([len(j) + len(k) == nb_inst for j, k in si]) + # pdb.set_trace() + si = situation_split3(pr_trn, pr_tst, nb_cv, y) + assert all([len(i) + len(j) + len( + k) == nb_inst for i, j, k in si]) + + # pdb.set_trace() + return + + +# ================================= +# ------------------------------------- +# fairml/widget/data_split.py + + +pr_trn = .8 +pr_tst = .1 +nb_iter = 5 + +nb_lbl = 4 +nb_spl = nb_lbl * 10 +nb_feat = 4 + +y_trn = np.random.randint(nb_lbl, size=nb_spl).tolist() +y_val = np.random.randint(nb_lbl, size=nb_spl).tolist() +y_tst = np.random.randint(nb_lbl, size=nb_spl).tolist() +y_prime = np.concatenate([y_trn, y_val, y_tst], axis=0).tolist() + +X_trn = np.random.rand(nb_spl, nb_feat) # .tolist() +X_val = np.random.rand(nb_spl, nb_feat) # .tolist() +X_tst = np.random.rand(nb_spl, nb_feat) # .tolist() + + +def test_sp(): + # from fairml.widget.data_split import ( + # situation_split2, situation_split3) + for nb_iter in [2, 3, 5]: + + split_idx = situation_split2(pr_trn, nb_iter, y_trn) + for i_trn, i_val in split_idx: + z_trn = set(i_trn) + z_val = set(i_val) + assert len(i_trn) == len(z_trn) >= 1 + assert len(i_val) == len(z_val) >= 1 + assert len(i_trn) + len(i_val) == nb_spl + split_tmp = situation_split2(pr_trn, nb_iter, y_trn) + assert id(split_tmp) != id(split_idx) + + split_idx = situation_split3( + pr_trn, pr_tst, nb_iter, y_trn) + for i_trn, i_val, i_tst in split_idx: + z_trn = set(i_trn) + z_val = set(i_val) + z_tst = set(i_tst) + assert len(i_trn) == len(z_trn) >= 1 + assert len(i_val) == len(z_val) >= 1 + assert len(i_tst) == len(z_tst) >= 1 + assert len(i_trn) + len(i_val) + len(i_tst) == nb_spl + split_tmp = situation_split3( + pr_trn, pr_tst, nb_iter, y_trn) + assert id(split_idx) != id(split_tmp) + + +def test_cv(): + # from fairml.widget.data_split import ( + # situation_cross_validation, situation_split1) + # y = np.concatenate([y_trn, y_val, y_tst], axis=0).tolist() + for nb_iter in [2, 3, 5]: + + split_type = "cross_valid_v2" + split_idx = sitch_cross_validation( + nb_iter, y_prime, split_type) + for i_trn, i_tst in split_idx: + z_trn, z_tst = set(i_trn), set(i_tst) + assert len(z_trn) + len(z_tst) == nb_spl * 3 + assert len(i_trn) == len(z_trn) >= 1 + assert len(i_tst) == len(z_tst) >= 1 + split_tmp = sitch_cross_validation( + nb_iter, y_prime, split_type) + assert id(split_idx) != id(split_tmp) + + split_type = "cross_valid_v3" + split_idx = sitch_cross_validation( + nb_iter, y_prime, split_type) + for i_trn, i_val, i_tst in split_idx: + z_trn, z_val, z_tst = set( + i_trn), set(i_val), set(i_tst) + assert len(z_trn) + len( + z_val) + len(z_tst) == nb_spl * 3 + assert len(i_trn) == len(z_trn) >= 1 + assert len(i_val) == len(z_val) >= 1 + assert len(i_tst) == len(z_tst) >= 1 + split_tmp = sitch_cross_validation( + nb_iter, y_prime, split_type) + assert id(split_idx) != id(split_tmp) + + y = np.random.randint(4, size=21) + split_idx = situation_split1(y, 0.6, 0.2) + split_idx = situation_split1(y, 0.8, 0.1) + split_idx = situation_split1(y, 0.6) + split_idx = situation_split1(y, 0.8) + split_idx = situation_split1(y, 0.9) + assert len(split_idx) == 1 + + +def test_re(): + # from fairml.widget.data_split import ( + # manual_repetitive, manual_cross_valid, + # scale_normalize_helper, scale_normalize_dataset) + + X_prime = np.concatenate([ + X_trn, X_val, X_tst], axis=0).tolist() + assert np.shape(X_prime) == (nb_spl * 3, nb_feat) + for nb_iter in [2, 3, 5]: + split_idx = manual_repetitive(nb_iter, y_prime) + assert all([len(i) == nb_spl * 3 for i in split_idx]) + split_idx = manual_repetitive(nb_iter, y_prime, True) + assert all([len(i) == nb_spl * 3 for i in split_idx]) + split_idx = manual_cross_valid(nb_iter, y_prime) # , X) + assert all([len(xy) + len( + z) == nb_spl * 3 for xy, z in split_idx]) + + Xl_trn = X_trn.tolist() + Xl_val = X_val.tolist() + Xl_tst = X_tst.tolist() + for scale_type in ["standard", "min_max", "normalize"]: + scaler = scale_normalize_helper(scale_type) + scatmp = scale_normalize_helper(scale_type) + assert id(scaler) != id(scatmp) + resler, X1, X2, X3 = scale_normalize_data( + scaler, Xl_trn, Xl_val, Xl_tst) # scale_type + restmp, X4, X5, X6 = scale_normalize_data( + scatmp, Xl_trn, Xl_val, Xl_tst) # scale_type + assert id(resler) != id(restmp) + assert len(set(map(id, [X1, X2, X3, X4, X5, X6]))) == 6 + assert id(scaler) == id(resler) + assert id(scatmp) == id(restmp) diff --git a/pyfair/facil/test_ensem.py b/pyfair/facil/test_ensem.py new file mode 100644 index 0000000..4cd90ee --- /dev/null +++ b/pyfair/facil/test_ensem.py @@ -0,0 +1,83 @@ +# coding: utf-8 + +import numpy as np +# import pdb +from pyfair.facil.utils_const import synthetic_dat, synthetic_clf + +nb_inst, nb_cls, nb_lbl = 121, 4, 3 +_, y_trn = synthetic_dat(nb_lbl, nb_inst, 4) +y_insp = synthetic_clf(y_trn, nb_cls, err=.2) +coef = np.random.rand(nb_cls) +coef /= np.sum(coef) +coef = coef.tolist() + +y = [1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0] +yt = [[1, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0], + [0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0], + [1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0], + [0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0]] +wgh = [.2, .3, .1, .4] + + +# ''' +# def excl_test_ensem_voting(): +# from fairml.facils.ensem_voting import ( +# plurality_voting, majority_voting, weighted_voting, +# tie_with_weight_plurality) +# +# f1 = plurality_voting(y_trn, y_insp) +# f2 = majority_voting(y_trn, y_insp) +# f3 = weighted_voting(y_trn, y_insp, coef) +# assert len(f1) == len(f2) == len(f3) # useless +# +# h1 = plurality_voting(y, yt) +# h2 = majority_voting(y, yt) +# h3 = weighted_voting(y, yt, wgh) +# h4 = weighted_voting(y, yt, [1. / 4 for _ in range(4)]) +# assert np.equal(h1, h4).all() +# assert len(h1) == len(h2) == len(h3) == len(h4) +# +# h1 = tie_with_weight_plurality(y, yt, None) +# h3 = tie_with_weight_plurality(y, yt, wgh) +# h4 = tie_with_weight_plurality(y, yt, [1. / 4] * 4) +# assert np.equal(h1, h4).all() +# assert np.equal(h1, h3).all() +# +# h1 = tie_with_weight_plurality(y, yt, None, nc=2) +# h3 = tie_with_weight_plurality(y, yt, wgh, nc=2) +# h4 = tie_with_weight_plurality(y, yt, [1. / 4] * 4, nc=2) +# assert np.equal(h1, h4).all() +# # pdb.set_trace() +# return +# ''' + + +def test_ensem_voting(): + from pyfair.facil.ensem_voting import ( + plurality_voting, majority_voting, weighted_voting, + tie_with_weight_plurality) + + f1 = plurality_voting(y_insp) + f2 = majority_voting(y_insp) + f3 = weighted_voting(y_insp, coef) + assert len(f1) == len(f2) == len(f3) # useless + + h1 = plurality_voting(yt) + h2 = majority_voting(yt) + h3 = weighted_voting(yt, wgh) + h4 = weighted_voting(yt, [1. / 4 for _ in range(4)]) + assert np.equal(h1, h4).all() + assert len(h1) == len(h2) == len(h3) == len(h4) + + h1 = tie_with_weight_plurality(yt, None) + h3 = tie_with_weight_plurality(yt, wgh) + h4 = tie_with_weight_plurality(yt, [1. / 4] * 4) + assert np.equal(h1, h4).all() + assert np.equal(h1, h3).all() + + h1 = tie_with_weight_plurality(yt, None, nc=2) + h3 = tie_with_weight_plurality(yt, wgh, nc=2) + h4 = tie_with_weight_plurality(yt, [1. / 4] * 4, nc=2) + assert np.equal(h1, h4).all() + # pdb.set_trace() + return diff --git a/pyfair/facil/test_utils.py b/pyfair/facil/test_utils.py new file mode 100644 index 0000000..b0bd366 --- /dev/null +++ b/pyfair/facil/test_utils.py @@ -0,0 +1,138 @@ +# coding: utf-8 +# fairml.widget. (asst/past/utils) +# pyfairness.plain. + + +def test_saver(): + from pyfair.facil.utils_saver import ( + get_elogger, rm_ehandler, console_out, + elegant_print) + + console_out('filtest.txt') + logger, fm, fh = get_elogger('logtest', 'filtest.txt') + elegant_print('test print') + elegant_print('test print log', logger) + rm_ehandler(logger, fm, fh) + + import os + os.remove('filtest.txt') + return + + +def test_timer(): + from pyfair.facil.utils_timer import ( + fantasy_durat, elegant_durat, elegant_dated, + fantasy_durat_major) + import time + pi = 3.141592653589793 + + for verb in [True, False]: + print(fantasy_durat(pi - 3, verb)) + + # print(fantasy_durat(pi, verb, False)) + print(fantasy_durat(pi, verb, True)) + print(fantasy_durat_major(pi, True)) # verb,True)) + + print(elegant_durat(pi, verb)) # same + print(fantasy_durat_major(pi, True)) # verb,False)) + + tim = time.time() + print(elegant_dated(tim, 'num')) + print(elegant_dated(tim, 'txt')) + print(elegant_dated(tim, 'day')) + print(elegant_dated(tim, 'wks')) + return + + +def test_const(): + from pyfair.facil.utils_const import ( + CONST_ZERO, CONST_DIFF, check_zero, check_equal, + check_signed_zero, unique_column, judge_transform_need, + judge_mathcal_Y, np_sum, np_prod, # renew_rand_seed, + synthetic_lbl, synthetic_dat, synthetic_set, synthetic_clf, + random_seed_generator) + # from fairml.widget.utils_const import random_seed_generator as renew_rand_seed + import numpy as np + renew_rand_seed = random_seed_generator + + assert check_zero(0) == CONST_ZERO + assert check_equal(0, CONST_DIFF / 2) + assert not check_equal(0, CONST_DIFF) + assert check_zero(1e-8) and check_zero(0.) != 0. + assert check_equal(1e-8, 1e-9) + assert not check_equal(1e-5, 1e-6) + assert check_signed_zero(0) == 0 + assert check_signed_zero(1e-19) == CONST_ZERO + assert check_signed_zero(-1e-19) == -CONST_ZERO + + y = np.random.randint(4, size=17).tolist() + vY, dY = judge_transform_need(y) + assert dY <= 4 + tmp = judge_mathcal_Y(dY) + # assert all([i == j for i, j in zip(vY, tmp)]) + # assert check_equal(vY, tmp) + assert len(vY) == len(tmp) <= 4 + + y = np.random.randint(2, size=17).tolist() + vY, dY = judge_transform_need(y) + assert dY == 2 # 1 + tmp = judge_mathcal_Y(dY) + # assert all([i == j for i, j in zip(vY, tmp)]) + assert check_equal(vY, tmp) + + nb_col = 26 + 26**2 + 26**3 + alphabet = [chr(i) for i in range(97, 123)] + group_AZ_upper = unique_column(nb_col) + group_az_lower = unique_column(nb_col, alphabet) + assert all(65 <= ord(i) <= 90 for i in group_AZ_upper[:26]) + assert all(97 <= ord(i) <= 122 for i in group_az_lower[:26]) + answer = unique_column(26) + answer = np.array([ord(i) for i in answer]) + assert np.all(answer >= 65) + assert np.all(answer <= 91) + assert np_sum(range(1, 11)) == 55 + assert np_prod(range(1, 5)) == 24 + + _, prng = renew_rand_seed('fixed_tim') # psed, + nb_lbl, nb_spl, nb_ftr, nb_clf = 3, 21, 4, 7 + X, y = synthetic_dat(nb_lbl, nb_spl, nb_ftr) + assert np.shape(X) == (nb_spl, nb_ftr) and len(y) == nb_spl + assert 0 <= min(y) < max(y) <= nb_lbl - 1 + y, yt, coef = synthetic_set(nb_lbl, nb_spl, nb_clf) + assert np.shape(yt) == (nb_clf, nb_spl) + assert len(y) == nb_spl and nb_clf == len(coef) + assert 0 < sum(coef) <= 1.0000000000000002 + err = .2 + y_spl = synthetic_lbl(nb_lbl, nb_spl, prng) + yt = synthetic_clf(y_spl, nb_clf, err, prng=prng) + acc_opposite = np.mean(np.not_equal(y_spl, yt), axis=1) + acc_opposite = acc_opposite.tolist() + assert all([0 <= i <= err for i in acc_opposite]) + del X, y, yt, coef, y_spl, err, nb_lbl, nb_spl, nb_ftr, nb_clf + return + + +def test_simulator(): + from pyfair.facil.utils_const import ( + synthetic_lbl, synthetic_dat, synthetic_set, synthetic_clf) + from pyfair.facil.utils_const import \ + random_seed_generator as renew_rand_seed + import numpy as np + + _, prng = renew_rand_seed('fixed_tim') # psed, + nb_lbl, nb_spl, nb_ftr, nb_clf = 3, 21, 4, 7 + X, y = synthetic_dat(nb_lbl, nb_spl, nb_ftr) + assert np.shape(X) == (nb_spl, nb_ftr) and len(y) == nb_spl + assert 0 <= min(y) < max(y) <= nb_lbl - 1 + y, yt, coef = synthetic_set(nb_lbl, nb_spl, nb_clf) + assert np.shape(yt) == (nb_clf, nb_spl) + assert len(y) == nb_spl and nb_clf == len(coef) + assert 0 < sum(coef) <= 1.0000000000000004 # 1.0000000000000002 + err = .2 + y_spl = synthetic_lbl(nb_lbl, nb_spl, prng) + yt = synthetic_clf(y_spl, nb_clf, err, prng=prng) + acc_opposite = np.mean(np.not_equal(y_spl, yt), axis=1) + acc_opposite = acc_opposite.tolist() + assert all([0 <= i <= err for i in acc_opposite]) + del X, y, yt, coef, y_spl, err, nb_lbl, nb_spl, nb_ftr, nb_clf + return diff --git a/pyfair/facil/utils_const.py b/pyfair/facil/utils_const.py new file mode 100644 index 0000000..2868fa0 --- /dev/null +++ b/pyfair/facil/utils_const.py @@ -0,0 +1,241 @@ +# coding: utf-8 +# Author: Yijun + +import numpy as np + + +# ========================== +# Constants +# Helper functions + + +# ------------------------------------- +# Constants (by default) + + +DL_DTY_FLT = 'float32' +DL_DTY_INT = 'int32' +ML_DTY_FLT = 'float64' +ML_DTY_INT = 'int64' + +DTY_FLT = 'float' +DTY_INT = 'int' +DTY_BOL = 'bool' +DTY_PLT = '.pdf' +# DTY_PLT = '.eps' + + +CONST_ZERO = 1e-13 +CONST_DIFF = 1e-7 +RANDOM_SEED = None +FIXED_SEED = 7654 + +GAP_INF = 2 ** 31 - 1 +GAP_MID = 1e8 +GAP_NAN = 1e-16 + + +# ------------------------------------- +# Help(er) functions + + +def check_belong(tmp, *args): + for v in args: + if isinstance(tmp, v): + return True + return False + + +def check_zero(tmp, diff=CONST_ZERO): + if check_belong(tmp, list, tuple, np.ndarray): + return [check_zero(i, diff) for i in tmp] + # namely, robust_zero() + return tmp if tmp != 0. else diff + + +def non_negative(tmp): + if check_belong(tmp, list, tuple, np.ndarray): + return [non_negative(i) for i in tmp] + return tmp if tmp >= 0 else 0. + + +def check_equal(tmp_a, tmp_b, diff=CONST_DIFF): + # flag_a = check_belong(tmp_a, list, tuple, np.ndarray) + # flag_b = check_belong(tmp_b, list, tuple, np.ndarray) + # if not (flag_a or flag_b): + # return True if abs(tmp_a - tmp_b) < diff else False + # + # if flag_a and check_belong(tmp_b, int, float): + # tmp = [abs(i - tmp_b) < diff for i in tmp_a] + # elif flag_b and check_belong(tmp_a, int, float): + # tmp = [abs(tmp_a - i) < diff for i in tmp_b] + # elif flag_a and flag_b: + # # tmp = [i == j for i, j in zip(tmp_a, tmp_b)] + # tmp = [abs(i - j) < diff for i, j in zip(tmp_a, tmp_b)] + + flag_a = isinstance(tmp_a, (list, tuple, np.ndarray)) + flag_b = isinstance(tmp_b, (list, tuple, np.ndarray)) + if not (flag_a or flag_b): + return True if abs(tmp_a - tmp_b) < diff else False + if isinstance(tmp_b, (int, float)): # flag_a and + return all([abs(i - tmp_b) < diff for i in tmp_a]) + elif isinstance(tmp_a, (int, float)): # flag_b and + return all([abs(tmp_a - i) < diff for i in tmp_b]) + # else: # elif flag_a and flag_b: + tmp = [abs(i - j) < diff for i, j in zip(tmp_a, tmp_b)] + return all(tmp) + + +def check_signed_zero(x, diff=CONST_ZERO): + if abs(x) > CONST_ZERO: + return x + elif x > 0: + return CONST_ZERO + elif x < 0: + return -CONST_ZERO + return 0.0 + + +# ------------------------------------- +# Help(er) functions cont. + + +def judge_transform_need(y): + vY = sorted(set(y)) # list(set(y)) + dY = len(vY) + if dY == 2 and (-1 in vY) and (1 in vY): + # if dY == 2 and (-1 in vY): + dY = 1 + return vY, dY # 2, or ... + + +def judge_mathcal_Y(nc=1): + # vY: list(range(nc)) if nc >= 2 else [-1, +1] + if nc == 1: + return [-1, +1] + return list(range(nc)) + + +def _sub_ABC(nb_col, alphabet, double): + triple = [i + j + k for i in alphabet for j in alphabet for k in alphabet] + index = nb_col - 26 - 26**2 + if index <= 26**3: + return alphabet + double + triple[: index] + return triple + + +def unique_column(nb_col, alphabet=None): + # i.e., generate_unique_column_name + # + # alphabet = [chr(i) for i in range(97, 123)] # 'a' etc. + # alphabet = [chr(i) for i in range(65, 91)] ## 'A' etc. + # import string + # string.ascii_lowercase + + if alphabet is None: + alphabet = [chr(i) for i in range(65, 91)] + if nb_col <= 26: + return alphabet[: nb_col] + + double = [i + j for i in alphabet for j in alphabet] + index = nb_col - 26 + if index <= 26**2: + return alphabet + double[: index] + + # return list() + return _sub_ABC(nb_col, alphabet, double) + + +# RuntimeWarning: +# overflow encountered in long_scalars +# import decimal + +def np_prod(x): + y = 1 + for i in x: + y *= i + return y + + +def np_sum(x): + y = 0 + for i in x: + y += i + return y + + +def _get_tmp_name_ens(name_ens): + tmp = name_ens[: 3] + if name_ens == "AdaBoostM1": # "AoM", "ABM" + tmp = tmp[: 1] + name_ens[-2:] + return tmp + + +def _get_tmp_document(name_ens, nb_cls): + nmens_tmp = _get_tmp_name_ens(name_ens) + return nmens_tmp + str(nb_cls) + + +# ----------------------- +# Synthetic data (simulator.py) +# +# nb_lbl: number of labels/classes +# nb_spl: number of instances +# nb_ftr: number of features +# nb_clf: number of classifiers + + +def synthetic_lbl(nb_lbl, nb_spl, prng=None): + y_inst = np.repeat(range(nb_lbl), nb_spl / nb_lbl + 1) + y_inst = y_inst.reshape(nb_lbl, -1).T.reshape(-1) + y_inst = y_inst[: nb_spl] + if not prng: + np.random.shuffle(y_inst) + else: + prng.shuffle(y_inst) + return y_inst.tolist() + + +def synthetic_dat(nb_lbl, nb_spl, nb_ftr, prng=None): + if not prng: + X_inst = np.random.rand(nb_spl, nb_ftr) + y_inst = np.random.randint(nb_lbl, size=nb_spl) + else: + X_inst = prng.rand(nb_spl, nb_ftr) + y_inst = prng.randint(nb_lbl, size=nb_spl) + return X_inst.tolist(), y_inst.tolist() + + +def synthetic_set(nb_lbl, nb_spl, nb_clf, prng=None): + if not prng: + prng = np.random + y_inst = prng.randint(nb_lbl, size=nb_spl) + yt_cls = prng.randint(nb_lbl, size=(nb_clf, nb_spl)) + coef = prng.rand(nb_clf) + coef /= check_zero(np.sum(coef)) + return y_inst.tolist(), yt_cls.tolist(), coef.tolist() + + +def synthetic_clf(y_inst, nb_clf, err=.1, prng=None): + if not prng: + prng = np.random + nb_spl, nb_lbl = len(y_inst), len(set(y_inst)) + yt_clf = np.repeat(y_inst, repeats=nb_clf, axis=0) + yt_clf = yt_clf.reshape(-1, nb_clf).T + num = int(nb_spl * err) + for k in range(nb_clf): + for _ in range(num): + i = prng.randint(nb_spl) + yt_clf[k][i] = nb_lbl - 1 - yt_clf[k][i] + return yt_clf.tolist() + + +def random_seed_generator(psed='fixed_tseed'): # _tim + if (psed is not None) or (not isinstance(psed, int)): + import time + psed = int(time.time() * GAP_MID % GAP_INF) + prng = np.random.RandomState(seed=psed) + return psed, prng + + +# ------------------------------------- diff --git a/pyfair/facil/utils_remark.py b/pyfair/facil/utils_remark.py new file mode 100644 index 0000000..436bd1a --- /dev/null +++ b/pyfair/facil/utils_remark.py @@ -0,0 +1,323 @@ +# coding: utf-8 +# +# Target: +# Provide names for diversity and pruning +# + + +# Ensemble Classifiers + +from sklearn import tree # DecisionTreeClassifier() +from sklearn import naive_bayes # GaussianNB, MultinomialNB, BernoulliNB +from sklearn import svm # SVC, NuSVC, LinearSVC +from sklearn import neighbors # KNeighborsClassifier(n_neighbors, +# # weights='uniform' or 'distance') +from sklearn import linear_model # SGDClassifier(loss='hinge', penalty='l1' or 'l2') +from sklearn import neural_network # MLPClassifier + +# import pandas as pd +# import numpy as np + + +# ------------------------------------- +# ------------------------------------- + + +###################################### +# Ensemble Classifiers +###################################### + +# X_trn, X_tst, X_val: np.ndarray, shape=(nb_???, nb_feat) i.e., [[nb_feat] nb_???] +# y_trn, y_tst, y_val: np.ndarray, shape=(nb_trn/tst/val,) i.e., [nb_trn/tst/val] +# +# Y \in {0, 1} +# y_insp: np.ndarray, shape=(nb_cls, nb_trn) i.e., [[nb_trn] nb_cls], inspect +# y_pred: np.ndarray, shape=(nb_cls, nb_tst) i.e., [[nb_tst] nb_cls], predict +# y_cast: np.ndarray, shape=(nb_cls, nb_val) i.e., [[nb_val] nb_cls], verdict/validate +# coefficient: np.ndarray, shape=(nb_cls,) i.e., [nb_cls] +# weights (in resample): np.ndarray, shape=(nb_y/X,) i.e., [nb_y/X] +# + +AVAILABLE_ABBR_ENSEM = ['Bagging', 'AdaBoostM1', 'SAMME'] +AVAILABLE_ABBR_CLS = [ + 'DT', 'NB', 'SVM', 'linSVM', 'kNNu', 'kNNd', + 'MLP', 'LR1', 'LR2', 'LM1', 'LM2', + # 'LM1', 'LM2', 'LR1', 'LR2', 'kNNu', 'kNNd', 'MLP', +] # ALG_NAMES # 'lmSGD','LR', # NN,Lsvm + + +NAME_INDIVIDUALS = { + 'DT': tree.DecisionTreeClassifier(), + 'NB': naive_bayes.GaussianNB(), + 'SVM': svm.SVC(), + 'linSVM': svm.LinearSVC(), # 'L-SVM', 'lSVM/Lsvm' + 'kNNu': neighbors.KNeighborsClassifier(weights='uniform'), + 'kNNd': neighbors.KNeighborsClassifier(weights='distance'), + 'LR1': linear_model.LogisticRegression(penalty='none'), + 'LR2': linear_model.LogisticRegression(penalty='l2'), # default + 'LM1': linear_model.SGDClassifier(penalty='l1'), + 'LM2': linear_model.SGDClassifier(penalty='l2'), # default + 'MLP': neural_network.MLPClassifier(), # NN +} + +INDIVIDUALS = NAME_INDIVIDUALS + + +SPEC_INDIVIDUALS = { + 'DT': tree.DecisionTreeClassifier(), + 'NB': naive_bayes.GaussianNB(), + 'SVM': svm.SVC(), + 'linSVM': svm.LinearSVC(), # 'L-svm', 'LSVM' + 'LM1': linear_model.SGDClassifier( + loss="hinge", penalty="l1"), + 'LM2': linear_model.SGDClassifier( + loss="hinge", penalty="l2"), + # 'LM*': # max_iter=1000 + 'kNNu': neighbors.KNeighborsClassifier( + n_neighbors=3, weights="uniform"), + 'kNNd': neighbors.KNeighborsClassifier( + n_neighbors=3, weights="distance"), + 'MLP': neural_network.MLPClassifier( + solver='lbfgs', alpha=1e-5, # random_state=1, + hidden_layer_sizes=(5, 2)), # MLP + # # # # # # # # # # + 'mNB': naive_bayes.MultinomialNB(), + 'bNB': naive_bayes.BernoulliNB(), + 'nuSVM': svm.NuSVC(), # 'nusvc' + 'SVMs': svm.SVC(gamma='scale'), # sklearn 0.22 default + 'SVMa': svm.SVC(gamma='auto'), # sklearn 0.21.3 default +} +# bilinear, for 3rd_complex_ensem +# ref: e.g., https://scikit-learn.org/stable/modules/classes.html + + +###################################### +# Ensemble Diversity Measures +###################################### + +# Diversity Measures +# ----------------------------- +# +# ha, hb: alternative +# hi, hj: np.ndarray, with shape [m,], not list +# yt: np.ndarray, shape=(nb_cls, m) i.e., [[m,] nb_cls] +# +# y \in {0, 1} -> {-1, +1} +# m = nb_y +# + + +PAIRWISE = { + 'Disag': 'Disagreement', # Disagreement Measure [Skalak, 1996, Ho, 1998] + 'QStat': 'Q_statistic', # Q-Statistic [Yule, 1900] + 'Corre': 'Correlation', # Correlation Coefficient [Sneath and Sokal, 1973] + 'KStat': 'K_statistic', # Kappa-Statistic [Cohen, 1960] + 'DoubF': 'Double_fault', # Double-Fault Measure [Giacinto and Roli, 2001] +} + +NONPAIRWISE = { + 'KWVar': 'KWVariance', # Kohavi-Wolpert Variance [Kohavi and Wolpert, 1996] + # # [Kuncheva and Whitaker, 2003] + 'Inter': 'Interrater', # Interrater agreement [Fleiss, 1981] + # # [Kuncheva and Whitaker, 2003] + 'EntCC': 'EntropyCC', # Entropy, $Ent_{cc}$, [Cunningham and Carney, 2000] + 'EntSK': 'EntropySK', # Entropy, $Ent_{sk}$, [Shipp and Kuncheva, 2002] + 'Diffi': 'Difficulty', # Difficulty, [Hansen and Salamon, 1990] + # # [Kuncheva and Whitaker, 2003] + 'GeneD': 'Generalized', # Generalized Diversity [Partridge and Krzanowski, 1997] + 'CFail': 'CoinFailure', # Coincident Failure [Partridge and Krzanowski, 1997] +} + +# AVAILABLE_NAME_DIVER = list(PAIRWISE.keys())+list(NONPAIRWISE.keys()) +AVAILABLE_NAME_DIVER = [ + 'Disag', 'QStat', 'Corre', 'KStat', 'DoubF', + 'KWVar', 'Inter', 'EntCC', 'EntSK', 'Diffi', 'GeneD', 'CFail'] +DIVER_PAIRWISE = ['Disag', 'QStat', 'Corre', 'KStat', 'DoubF'] +DIVER_NON_PAIR = [ + 'KWVar', 'Inter', 'EntCC', 'EntSK', 'Diffi', 'GeneD', 'CFail'] + + +###################################### +# Ensemble Pruning Methods +###################################### + +# from typing import List + +# Ensemble Pruning +# -------------------------- +# +# X_trn, X_tst, X_val +# y_trn, y_tst, y_val +# nb_trn/tst/val, nb_feat +# pr_feat, pr_pru +# k1,m1,lam1, k2,m2,lam2 +# +# k?: the number of selected objects (classifiers / features) +# m?: the number of machines doing ensemble pruning / feature selection +# \lambda: tradeoff +# +# yt: predicted results, np.ndarray, shape=(nb_cls, nb_y) i.e., list [[nb_y] nb_cls] +# yo: pruned results, np.ndarray, shape=(nb_pru, nb_y) i.e., list [[nb_y] nb_pru] +# + +RANKING_BASED = [ + 'ES', # Early Stopping + 'KL', # KL divergence Pruning + # 'KP', # # Kappa Pruning + 'KP', # 'KPk', Kappa Pruning (kuncheva, multi-class) + 'KP+', # 'KPz', Kappa Pruning (zhou2012, multi from binary) + 'OO', # Orientation Ordering Pruning + 'RE', # Reduce Error Pruning + 'CM', # Complementarity Measure Pruning ?? + 'KL+', # KL divergence Pruning (modified version of mine) + 'OEP', # OEP in Pareto Ensemble Pruning +] # ORDERING_BASED + +CLUSTERING_BASED = [] + +OPTIMIZATION_BASED = [ + 'DREP', # DREP Pruning # works for [binary] only, Y\in{-1,+1} + 'SEP', # SEP in Pareto Ensemble Pruning + 'PEP', # PEP in Pareto Ensemble Pruning + 'PEP+', # PEP (modified version of mine) +] + + +# Composable Core-sets +# -------------------------- +# \citep{indyk2014composable, aghamolaei2015diversity, abbassi2013diversity} +# Composable Core-sets for Diversity and Coverage Maximization +# Diversity Maximization via Composable Coresets +# Diversity Maximization Under Matroid Constraints +# -------------------------- +# works for [multi-class classification] +# + +# def pruning_methods(name_func, *params_func): +# return name_func(*params_func) +# +# Remark: +# specially for dt.DIST in DDisMI +# using Kappa statistic: K, theta1, theta2 = KappaMulti(ha, hb, y) +# K = 0, different; K = 1, completely the same +# + +COMPOSABLE_CORE_SETS = [ + 'GMA', # GMM_Algorithm # 'GMM' + 'LCS', # Local_Search +] # DIVERSITY MAXIMIZATION +# modified by me to make them suitable for ensemble pruning problems + +# AVAILABLE_NAME_PRUNE = RANKING_BASED + OPTIMIZATION_BASED +# AVAILABLE_NAME_PRUNE = RANKING_BASED + COMPOSABLE_CORE_SETS + OPTIMIZATION_BASED +AVAILABLE_NAME_PRUNE = [ + # 'ES', 'KL', 'KL+', 'KP', 'RE', 'CM', 'OO', + # 'GMA', 'LCS', + # 'DREP', 'SEP', 'OEP', 'PEP', 'PEP+' + # + 'ES', 'KL', 'KL+', 'KPk', 'KPz', # 'KP', 'KP+', + 'RE', 'CM', 'OO', 'GMA', 'LCS', + 'DREP', # 'DREPbi' # the most original version in li2012diversity `DREP` + 'drepm', # `drep_multi` instead of `DREP binary (original version)` + 'SEP', 'OEP', 'PEP', 'PEP+', 'pepre', 'pepr+' # `pep_pep_integrate` +] + + +# Ensemble Pruning Latest +# -------------------------- +# +# instances $\mathbf{N}$, a $n \times d$ matrix, a set of instances +# features $\mathbf{F}$, with cardinality $d$, a set of features +# class label $\mathbf{L}$, a $n$-dimensional vector +# classification result $\mathbf{U}$, a $n \times t$ matrix +# original ensemble $\mathbf{T}$, with cardinality $t$, a set/pool of original +# ensemble with $t$ individual classifiers +# pruned subensemble $\mathbf{P}$, with cardinality $p$, a set of individual +# classifiers after ensemble pruning +# +# name_ensem = Bagging, AdaBoost +# abbr_cls = DT, NB, SVM, LSVM +# name_cls = +# nb_cls = +# k = the number of selected objects (classifiers / features) +# m = the number of machines doing ensemble pruning / feature selection +# \lambda = tradeoff +# X = raw data +# y = raw label +# yt = predicted result, [[nb_y] nb_cls] list, `nb_cls x nb_y` array +# yo = pruned result, not `yp` +# +# name_prune = +# name_diver = +# KL distance between two probability distributions p and q: +# scipy.stats.entropy(p, q) +# + +LATEST_NAME_PRUNE = [ + # ordering-based, MRMC-ordered-aggregation pruning + 'MRMC-MRMR', 'MRMC-MRMC', 'MRMC-ALL', + 'MRMREP', # optimization-based, \citep{li2018mrmr} + 'mRMR-EP', 'Disc-EP', # \citep{cao2018optimizing} + # \citep{zhang2019two} + 'TSP-AP', 'TSP-DP', 'TSP-AP+DP', 'TSP-DP+AP', + "TSPrev-DP", "TSPrev-AD", "TSPrev-DA", +] + + +###################################### +# Datasets +###################################### + +# UCI Repository +# -------------------------- +# + +GMM_DATASET = [ + 'gmm_2D_n4k', 'gmm_3D_n2k', 'gmm_10D_n1k' +] +DIVERSITY_DATA = [ + 'Ames', 'card', 'heart', 'iono', 'liver', 'ringnorm', + 'sonar', 'spam', 'waveform', 'wisconsin', # house +] + +DIVERHUGE_DATA = [ + 'credit', 'landsat', 'page', 'shuttle', 'wilt' +] +UCI_DATASET = [ + 'ecoli+', 'ecoli', 'yeast+', 'yeast', + 'mammographic_masses', 'segmentation', 'madelon', + # 'segmentation_data', 'segmentation_test', + # 'madelon_train', 'madelon_valid', + 'sensor_readings_2', 'sensor_readings_4', + 'sensor_readings_24', + # 'waveform', 'waveform_noise', 'EEGEyeState' + "waveform_init", "waveform_noise", "EEGEyeState" +] + +# Python Packages +# -------------------------- +# + +KERAS_DATASET = [ + "mnist", "fashion", "cifar10", +] +Keras_DATAS = [ + "mnist", "fmnist", "fashion", + "cifar10", "cifar100f", "cifar100c", + "reuters" # omitted +] + +SET_DATA_NAMES = { + 'Keras': Keras_DATAS, + 'catdog': '', + 'UCI': UCI_DATASET, + 'GMM': GMM_DATASET, + 'diversity': DIVERSITY_DATA, + 'diverhuge': DIVERHUGE_DATA, + 'keras': KERAS_DATASET, +} + +FAIR_DATASET = [ + # 'ricci', 'german', 'adult', 'ppc', 'ppvc' + 'ricci', 'german', 'adult', 'ppr', 'ppvr' +] diff --git a/pyfair/facil/utils_saver.py b/pyfair/facil/utils_saver.py new file mode 100644 index 0000000..836552a --- /dev/null +++ b/pyfair/facil/utils_saver.py @@ -0,0 +1,74 @@ +# coding: utf-8 +# Author: Yijun + + +import logging +import pandas as pd + + +# elegant print +# ----------------------- + + +def _elegant_helper(text, logger=None): + if not logger: + print(text) + return + logger.info(text) + + +def elegant_print(text, logger=None): + if isinstance(text, ( + str, pd.core.series.Series)): + _elegant_helper(text, logger) + return + + if not isinstance(text, list): + raise ValueError("Wrong text input.") + for k in text: + _elegant_helper(k, logger) + + +# elegant logger +# ----------------------- + + +def get_elogger(logname, filename, level=logging.DEBUG, + mode='a'): + logger = logging.getLogger(logname) + formatter = logging.Formatter( + fmt="%(asctime)s - %(name)s | %(message)s", + datefmt="%a %Y/%m/%d %H:%M:%S") # "%D %H:%M:%S.%f" + + fileHandler = logging.FileHandler(filename, mode=mode) + logger.setLevel(level) + fileHandler.setFormatter(formatter) + logger.addHandler(fileHandler) + + # "%(asctime)s - %(levelname)s %(name)s | %(message)s", + # fileHandler = logging.FileHandler(filename, mode='a') + # return logger + return logger, formatter, fileHandler + + +def rm_ehandler(logger, formatter, fileHandler): + logger.removeHandler(fileHandler) + del fileHandler, formatter + del logger + return + + +def console_out(log_document): + # Output log to file and console + + # Define a Handler and set a format which output to file + logging.basicConfig( + level=logging.INFO, + # format="%(asctime)s - %(name)s:%(levelname)s | %(message)s", + format="%(message)s", # "%(name)s:%(levelname)s| %(message)s", + datefmt="%Y-%m-%d %A %H:%M:%S", + filename=log_document, + filemode='w') + + +# ----------------------- diff --git a/pyfair/facil/utils_timer.py b/pyfair/facil/utils_timer.py new file mode 100644 index 0000000..a1b652f --- /dev/null +++ b/pyfair/facil/utils_timer.py @@ -0,0 +1,221 @@ +# coding: utf-8 +# Author: Yijun + + +import time +import timeit + + +# elegant timer +# decorators +# ----------------------- + + +def elegant_timer(text): + def decorator(func): + def wrapper(*args, **kw): + since = time.time() + ans = func(*args, **kw) + tim_elapsed = time.time() - since + print("TimeCost {}: {:.8f} sec".format( + text, tim_elapsed)) + return ans + return wrapper + return decorator + + +def fantasy_timer_v1(text): + def decorator(func): + def wrapper(*args, **kw): + since = time.time() + ans = func(*args, **kw) + tim_elapsed = time.time() - since + print("TimeCost {}: {:.8f} sec".format(text, tim_elapsed)) + return ans, tim_elapsed + return wrapper + return decorator + + +def fantasy_timer_v2(func): + def wrapper(*args, **kw): + since = time.time() + ans = func(*args, **kw) + tim_elapsed = time.time() - since + return ans, tim_elapsed + return wrapper + + +def fantasy_timer_v3(func): + def wrapper(*args, **kw): + since = timeit.default_timer() + ans = func(*args, **kw) + tim_elapsed = timeit.default_timer() - since + return ans, tim_elapsed + return wrapper + + +fantasy_timer = fantasy_timer_v2 + + +# ----------------------- + + +# fantasy timer +# ----------------------- + + +def fantasy_durat_minor(tim_elapsed, verbose=False): + sec = int(tim_elapsed) # second, tim_cost + tim_cost = (tim_elapsed - sec) * 1000 + + # millisecond (ms) + # microsecond (μs) + millis = int(tim_cost) + tim_cost = (tim_cost - millis) * 1000 + + # format_text = "{:d}s {:d}ms".format(sec, millis) + format_text = "{:d}s ".format(sec) if verbose else "" + format_text = "{}{:d}ms".format(format_text, millis) + if not verbose: + return "{} {:.2f}μs".format(format_text, tim_cost) + + micros = int(tim_cost) + tim_cost = (tim_cost - micros) * 1000 + + # nanosecond (ns) + # picosecond (ps) + nano_s = int(tim_cost) + pico_s = (tim_cost - nano_s) * 1000 + format_text = "{} {:d}μs {:d}ns {:.2f}ps".format( + format_text, micros, nano_s, pico_s) + return format_text + + +def fantasy_durat_major(tim_elapsed, abbreviation=True): + unit_sec = "''" if abbreviation else " sec" + unit_min = "'" if abbreviation else " min" + format_text = "{:.2f}{}".format(tim_elapsed, unit_sec) + if tim_elapsed < 60: + return format_text + second = tim_elapsed % 60 + minute = tim_elapsed // 60 + format_text = "{:.2f}{}".format(second, unit_sec) + if minute < 60: + return "{:.0f}{} {}".format(minute, unit_min, format_text) + tim_elapsed = minute + minute = tim_elapsed % 60 + hours_ = tim_elapsed // 60 + format_text = "{:.0f}{} {}".format(minute, unit_min, format_text) + if hours_ < 24: + return "{:.0f} hr {}".format(hours_, format_text) + tim_elapsed = hours_ + hours_ = tim_elapsed % 24 + days__ = tim_elapsed // 24 + format_text = "{:.0f} hr {}".format(hours_, format_text) + if days__ < 30: + return "{:.0f} d {}".format(days__, format_text) + tim_elapsed = days__ # mo/mos/mth + days__ = tim_elapsed % 30 + month_ = tim_elapsed // 30 + format_text = "{:.0f} d {}".format(days__, format_text) + return "{:.0f} mo {}".format(month_, format_text) + + +# def fantasy_durat_major(tim_elapsed, verbose=False, +# abbreviation=True): +# unit_sec = "''" if abbreviation else " sec" +# unit_min = "'" if abbreviation else " min" +# format_text = "{:.2f}{}".format(tim_elapsed, unit_sec) +# if (not verbose) and tim_elapsed < 60: +# return format_text +# +# second = tim_elapsed % 60 +# minute = tim_elapsed // 60 +# format_text = "{:.2f}{}".format(second, unit_sec) +# if (not verbose) and minute < 60: +# return "{:.0f}{} {}".format(minute, unit_min, format_text) +# +# tim_elapsed = minute +# minute = tim_elapsed % 60 +# hours_ = tim_elapsed // 60 +# format_text = "{:.0f}{} {}".format(minute, unit_min, format_text) +# if (not verbose) and hours_ < 24: +# return "{:.0f} hr {}".format(hours_, format_text) +# +# tim_elapsed = hours_ +# hours_ = tim_elapsed % 24 +# days__ = tim_elapsed // 24 +# format_text = "{:.0f} hr {}".format(hours_, format_text) +# if (not verbose) and days__ < 30: +# return "{:.0f} d {}".format(days__, format_text) +# +# tim_elapsed = days__ # mo/mos/mth +# days__ = tim_elapsed % 30 +# month_ = tim_elapsed // 30 +# format_text = "{:.0f} d {}".format(days__, format_text) +# return "{:.0f} mo {}".format(month_, format_text) + + +def fantasy_durat(tim_elapsed, verbose=True, abbreviation=False): + tim_cost = int(tim_elapsed) + if tim_cost == 0: + return fantasy_durat_minor(tim_elapsed, verbose) + + return "{}\n\t i.e.,\t {}\n\t i.e.,\t {:.8f} minutes".format( + # fantasy_durat_major(tim_elapsed, verbose, abbreviation), + fantasy_durat_major(tim_elapsed, abbreviation), + elegant_durat_core(tim_elapsed, verbose), + tim_elapsed / 60) + + +# elegant timer +# ----------------------- + + +def elegant_durat_core(tim_elapsed, verbose=False): + duration = tim_elapsed + second = tim_elapsed % 60 + minute = tim_elapsed // 60 + assert minute * 60 + second == tim_elapsed + + if not verbose and minute == 0: + return "{:.2f} sec".format(second) + + tim_elapsed = minute + minute = tim_elapsed % 60 + hours_ = tim_elapsed // 60 + assert hours_ * 60 + minute == tim_elapsed + + if not verbose and hours_ == 0: + return "{:.0f} min {:.2f} sec".format(minute, second) + + assert hours_ * 3600 + minute * 60 + second == duration + return "{:.0f} hrs {:.0f} min {:.2f} sec".format( + hours_, minute, second) + + +def elegant_durat(tim_elapsed, verbose=True): + # duration: tim_elapsed = time.time() - since + return "{}, i.e., {:.10f} minutes".format( + elegant_durat_core( + tim_elapsed, verbose), tim_elapsed / 60) + + +def elegant_dated(since, fmt='num'): + if fmt == 'wks': + # formatter = "%Y/%m/%d %A %H:%M:%S" + formatter = "%a %y/%m/%d %H:%M:%S" + # formatter = "%a %Y/%m/%d %H:%M:%S" + elif fmt == 'day': + # formatter = "%A, %h %D %H:%M:%S" # or "%c" + formatter = "%A, %B %d, %Y, %H:%M:%S (GMT%z)" + elif fmt == 'txt': + formatter = "%d-%b-%Y %H:%M:%S" + elif fmt == 'num': + formatter = "%Y-%m-%d %H:%M:%S" + else: + raise ValueError("Wrong format for output") + return time.strftime(formatter, time.localtime(since)) + + +# ----------------------- diff --git a/pyfair/granite/__init__.py b/pyfair/granite/__init__.py new file mode 100644 index 0000000..a763b9f --- /dev/null +++ b/pyfair/granite/__init__.py @@ -0,0 +1,2 @@ +# coding: utf-8 +# pyfair.senior/utilc diff --git a/pyfair/granite/draw_addtl.py b/pyfair/granite/draw_addtl.py new file mode 100644 index 0000000..32d195f --- /dev/null +++ b/pyfair/granite/draw_addtl.py @@ -0,0 +1,1562 @@ +# coding: utf-8 +# +# TARGET: +# Measuring fairness via data manifolds +# + + +import matplotlib.pyplot as plt +import seaborn as sns +# import itertools +import numpy as np +import pandas as pd + +# from fairml.facilc.draw_graph import ( +# from pyfair.senior.draw_graph import ( +from pyfair.facil.draw_prelim import ( + PLT_LOCATION, PLT_FRAMEBOX, _setup_config, + _style_set_axis, _setup_figsize, _setup_figshow, + _setup_rgb_color) +from pyfair.granite.draw_graph import _sns_line_err_bars +# from pyfair.senior.draw_graph import ( +# _sns_line_err_bars, _setup_rgb_color) +# _setup_locater,_set_quantile, cnames, cname_keys, cmap_names, +# _backslash_distributed, _barh_patterns, _sns_line_fit_regs, +from pyfair.facil.utils_const import DTY_FLT + + +# =============================== +# Preliminaries +# Matlab plot +# ------------------------------- + + +# =============================== +# Python Matlablib plot + + +# ------------------------------- +# multiple line_chart.m +# + +_line_styler = [ + '-', '--', '-.', ':'] # solid, dashed, dash-dot, dotted +_line_marker = [ + '.', ',', 'o', 'v', '^', '<', '>', # point, pixel, circle, + '1', '2', '3', '4', # triangle_.., tri_down/up/left/right, + 's', 'p', '*', 'h', 'H', # square, pentagon, star, hexagon, + '+', 'x', 'D', 'd', '|', '_'] # /thin_diamond, vline/hline + +_colr_nms = [ + '#0072BD', '#D95319', '#EDB120', '#7E2F8E', '#77AC30', + '#4DBEEE', '#A2142F'] # Matlab 2014, parula + + +# ''' +# def multiple_line_chart(X, Ys, annots=( +# r"$\lambda$", r"Test Accuracy (%)"), +# annotY=('',), mkrs=None, +# figname='lam', figsize='S-NT'): +# # X .shape (#num,) +# # Ys.shape (#num, #baseline_for_comparison, #iter) +# +# if mkrs is None: +# mkrs = [] +# # mkrs += [for i in _line_marker] +# +# num_bs = Ys.shape[1] +# ''' + + +# def multiple_lines_with_errorbar(Ys, picked_keys, annotY='Acc', +# TODO! +def multiple_lines_with_errorbar(X, Ys, picked_keys=('Baseline #1',), + annotX=r'$\lambda$', annotY='Acc', + cmap_name='GnBu_r', + figname='lam_sns', figsize='M-WS'): + # similar usage: box_plot(Ys[:, i, :]) + # only works for one algorithm + # X or picked_keys: (#num,) + # Ys.shape (#num, #baseline_for_comparison, nb_iter) + + # num, pick_baseline, _ = Ys.shape # pick_baseline,nb_iter + _, pick_baseline, _ = Ys.shape + # fig, ax = plt.subplots(figsize=_setup_config['M-NT']) + fig = plt.figure(figsize=_setup_config['M-NT']) + ax = fig.gca() + + cs, _ = _setup_rgb_color(pick_baseline, cmap_name) # ,cl + kws = {'color': 'navy', 'lw': 1} # plt.plot(.5, 0.5) + for j in range(pick_baseline): + kws['color'] = cs[j] + kws['label'] = picked_keys[j] + # TODO 好像有点不对 + _sns_line_err_bars(ax, kws, X, Ys[:, j, :].mean(axis=1)) + + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# ------------------------------- +# 箱线图 带误差线 +# + + +def box_plot(Ys, picked_keys, annotY='Acc', + annotX='', patch_artist=False, + figname='box_lam', figsize='M-WS', rotate=60): + # Ys.shape (#baseline_for_comparison, #iter) + + pick_baseline = Ys.shape[0] # ,nb_iter #picked_ways/method, + fig, ax = plt.subplots(figsize=_setup_config['M-NT']) + ax.boxplot(Ys.T, patch_artist=patch_artist) # bp= + + ind = np.arange(pick_baseline) + 1 + ax.set_xticks(ind) + ax.set_xticklabels(picked_keys, rotation=rotate) + ax.set_ylabel(annotY) + ax.set_xlabel(annotX) + + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def styled_box_plot(): + pass + + +# ------------------------------- + +# ------------------------------- + + +# =============================== +# Python Matlablib plot + + +# ------------------------------- +# fairmanf +# for 单独一个数据集，类似上图，results of 5 iterations +# (real approx values) + analysis (like mean+-std) +# + + +def scatter_k_cv_with_real(X, Ys, z, # y/z: real values + # picked_keys=('Baseline #1',), + annotX=r'hyper-pm', annotY='value', + tidy_cv=False, ddof=0, # 1,tidy_cv=True, + figsize='M-WS', # cmap_name='GnBu_r', + figname='hyperpm_effect'): + # This is for results from k-cross validation + # X : possible values of some certain hyper-parameter + # Ys: results of 算法的估计值 + # z : real value of 真实值 + + # X .shape= (#num,) + # Ys.shape= (nb_iter, #num) # Ys.shape= (#num, nb_iter) + # z .shape= (nb_iter,) + + nb_iter = Ys.shape[0] # nb_iter, num = Ys.shape + fig, ax = plt.subplots(figsize=_setup_config['M-NT']) + + kws = {'color': '#F65F47', 'lw': 1} + for i in range(nb_iter): + plt.scatter(X, Ys[i], s=2.5, **kws) + + kws['color'] = '#465386' + tz_avg, tz_std = np.mean(z), np.std(z, ddof=ddof) + tx_min, tx_max = ax.get_xlim() + line, = ax.plot([tx_min, tx_max], [tz_avg, tz_avg], + label='Real value', **kws) + line.sticky_edges.x[:] = (tx_min, tx_max) + ax.fill_between([tx_min, tx_max], # ax.get_xlim(), + [tz_avg - tz_std] * 2, + [tz_avg + tz_std] * 2, alpha=.15, + facecolor='#465386') # **kws) + # kws.pop('edgecolor') + # kws.pop('facecolor') + + kws['color'] = '#F65F47' + if not tidy_cv: + tX = np.array([X] * nb_iter) + tYs = Ys.reshape(-1) + # tz = np.array([z] * num).T + else: + tX = np.array([X] * nb_iter).T + tYs = Ys.T.reshape(-1) + # tz = np.array([z] * num) + kws['linestyle'] = '--' + _sns_line_err_bars(ax, kws, tX.reshape(-1), tYs) + kws.pop('linestyle') + + ax.ticklabel_format( + style='sci', scilimits=(-1, 2), axis='y') + plt.legend(loc='best', frameon=False) # PLT_LOCATION,PLT_FRAMEBOX) + ax.set_xlabel(annotX) + ax.set_ylabel(annotY) + + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# ------------------------------- +# fairmanf +# 时间代价 + + +def boxplot_k_cv_with_real(X, Ys, z, + annotX=r'hyperpm', annotY='value', + patch_artist=False, ddof=0, + figsize='M-WS', + figname='hyperpm_boxmu'): + # X .shape= (#num,) + # Ys.shape= (nb_iter, #num) + # z .shape= (nb_iter,) + + nb_iter = Ys.shape[0] # nb_iter, num = Ys.shape + fig, ax = plt.subplots(figsize=_setup_config['M-NT']) + + ax.boxplot(Ys, positions=X, patch_artist=patch_artist) # bp= + # ax.set_xticks(X) + ax.ticklabel_format(style='sci', scilimits=(-1, 2), axis='y') + + kws = {'color': '#F65F47', 'lw': 1} + for i in range(nb_iter): + plt.scatter(X, Ys[i], s=2.5, **kws) + kws['color'] = '#465386' + tz_avg, tz_std = np.mean(z), np.std(z, ddof=ddof) + tx_min, tx_max = ax.get_xlim() + ax.plot([tx_min, tx_max], [tz_avg, tz_avg], + label='Real value', **kws) + ax.fill_between( + [tx_min, tx_max], + [tz_avg - tz_std] * 2, [tz_avg + tz_std] * 2, + alpha=.15, facecolor='#465386') + + kws['color'] = '#F65F47' + tX = np.array([X] * nb_iter).reshape(-1) + # tz = np.array([z] * num).T.reshape(-1) + kws['linestyle'] = '--' + _sns_line_err_bars(ax, kws, tX, Ys.reshape(-1)) + kws.pop('linestyle') + plt.legend(loc=PLT_LOCATION, frameon=PLT_FRAMEBOX) + + ax.set_xlabel(annotX) + ax.set_ylabel(annotY) + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# ------------------------------- +# fairmanf +# for 若干个数据集放在一起 + + +# ''' +# def _diff_between_approx_and_direct(Yss, zs): +# # difference: abs(approx - direct) / direct +# # Yss.shape= (#att_sens, nb_iter, #num) +# # zs .shape= (#att_sens, nb_iter) +# +# nb_att, nb_iter, num = Yss.shape +# diff = np.zeros_like(Yss) - 1. +# for j in range(nb_att): +# for i in range(nb_iter): +# diff[j][i] = np.abs(Yss[j][i] - zs[j][i]) +# diff[j][i] /= check_zero(zs[j][i]) +# return diff +# +# +# def approximated_dist_comparison(X, Yss, zs, picked_keys, +# figsize='M-WS', +# figname='hyperpm_multi'): +# # nb_att, nb_iter, num = Yss.shape +# diff = _diff_between_approx_and_direct(Yss, zs) +# ''' + + +def approximated_dist_comparison( + X, Ys, picked_keys, annotX='pm', + annotY=r'$\frac{abs(\hat{\mathbf{D}}-\mathbf{D})}{\mathbf{D}}$', + figsize='M-WS', cmap_name='Dark2_r', # 'Accent_r', + figname='hyperpm_multi'): + # X : possible values of some certain hyper-parameter + # Yss: results of 算法的估计值 + # zs : real value of 真实值 + + # X .shape= (#num,) # 21 for m2, 24 for m1 + # Yss.shape= (#att_sen, #iter, #num) + # zs .shape= (#att_sen, #iter) + + # Ys = abs(Yss - zs) / zs + # Ys .shape= (#att_sen, #iter, #num) + + nb_att, nb_iter = Ys.shape[:2] # nb_att,nb_iter,num=Ys.shape + fig, ax = plt.subplots(figsize=_setup_config['M-NT']) + + # cs, cl = _setup_rgb_color(nb_iter, cmap_name) + cs = sns.color_palette(cmap_name) # cl = len(cs) + kws = {'color': 'navy', 'lw': 1} + if isinstance(X, list): + tX = X * nb_iter + else: + # tX = np.repeat(X, nb_iter).reshape(num, -1).T.reshape(-1) + tX = np.array([X] * nb_iter).reshape(-1) + for i in range(nb_att): + kws['color'] = cs[i] + tYs = Ys[i].reshape(-1) # .shape= (#num*nb_iter,) + plt.scatter(tX, tYs, s=2.5, label=picked_keys[i], **kws) + _sns_line_err_bars(ax, kws, tX, tYs) + + # bp = ax.boxplot() + plt.legend(loc='best', frameon=True) + ax.set_xlabel(annotX) + ax.set_ylabel(annotY) + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def multiple_scatter_comparison(X, Yss, zs, picked_keys, + annotX=r'hyper-pm', + annotY='Approximated value', + patch_artist=False, ddof=0, + cmap_name='Accent', + figsize='M-WS', # scat + figname='hyperpm_bboxs'): + # X .shape= (#num,) + # Yss.shape= (#att_sen, #iter, #num) + # zs .shape= (#att_sen, #iter) + # picked_keys.shape= (#att_sen,) list of names + + # nb_att, nb_iter, num = Yss.shape + nb_att, nb_iter, _ = Yss.shape + fig, ax = plt.subplots(figsize=_setup_config['M-NT']) + cs = sns.color_palette(cmap_name) + cl = len(cs) + + tX = np.array([X] * nb_iter).reshape(-1) + for i in range(nb_att): + kws = {'color': cs[i % cl], 'lw': 1} + tYs = Yss[i].reshape(-1) + plt.scatter(tX, tYs, s=2.5, **kws) + kws['label'] = picked_keys[i] + kws['linestyle'] = '--' + _sns_line_err_bars(ax, kws, tX, tYs) + + tx_min, tx_max = ax.get_xlim() + tz_avg = np.mean(zs, axis=1) # (#att_sen,) + # tz_std = np.std(zs, axis=1, ddof=ddof) # (#att_sen,) + for i in range(nb_att): + kws = {'color': cs[i % cl], 'lw': 1} + ax.plot([tx_min, tx_max], [tz_avg[i], tz_avg[i]], **kws) + # ''' + # ax.fill_between([tx_min, tx_max], + # [tz_avg[i] - tz_std[i]] * 2, + # [tz_avg[i] + tz_std[i]] * 2, + # alpha=.15, facecolor=cs[i % cl]) + # ''' + + ax.ticklabel_format(style='sci', scilimits=(-1, 2), axis='y') + plt.legend(loc=PLT_LOCATION, frameon=PLT_FRAMEBOX) + ax.set_xlabel(annotX) + ax.set_ylabel(annotY) + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# =============================== +# Python Matlablib plot + + +# ------------------------------- +# fairmanf + + +# ------------------------------- +# Linear regression with marginal distributions + + +def _marginal_distrib_step1(grid, df_all, col_X, current_palette): + + # 4.1 绘制长度的边缘分布图 + ax1 = plt.subplot(grid[0, 0: 5]) + ax1.spines[:].set_linewidth(.4) # 设置坐标轴线宽 + ax1.tick_params(width=.6, length=2.5, labelsize=8 + ) # 设置坐标轴刻度的宽度与长度、数值刻度的字体 + sns.kdeplot(data=df_all, x=col_X, hue='learning', + fill=True, common_norm=False, legend=False, + palette=current_palette, alpha=.5, + linewidth=.5, ax=ax1) # 边缘分布图 + # ax1.set_xlim(-75, 1575) + ax1.set_xticks([]) + ax1.set_xlabel("") + ax1.set_yticks([]) + ax1.set_ylabel("") + + # ax1.spines['top'].set_visible(False) + # ax1.spines['right'].set_visible(False) + sns.despine(ax=ax1, bottom=True, + top=True, right=True, left=True) + return ax1 + + +def _marginal_distrib_step2(grid, df_all, col_Y, current_palette): + + # 4.2 绘制宽度的边缘分布图 + ax2 = plt.subplot(grid[1: 6, 5]) + ax2.spines[:].set_linewidth(.4) + ax2.tick_params(width=.6, length=2.5, labelsize=8) + sns.kdeplot(data=df_all, y=col_Y, hue='learning', + fill=True, common_norm=False, legend=False, + palette=current_palette, alpha=.5, + linewidth=.5, ax=ax2) + # ax2.set_ylim(-10, 210) + ax2.set_xticks([]) + ax2.set_xlabel("") + ax2.set_yticks([]) + ax2.set_ylabel("") + + sns.despine(ax=ax2, left=True, + right=True, top=True, bottom=True) + return ax2 + + +def _marginal_distrib_step3(grid, dfs_pl, columns, col_X, col_Y, + # mycolor=None, annotX=r'X', annotY=r'Y'): + annotX=r'X', annotY=r'Y', # mycolor=None, + # cmap_name='muted'): # deep + mycolor=None, loc=None): + _curr_sz = [30, 15, 15, 10, 10, 15] # 20 + _curr_mark = ['*', '^', 'v', 'x', 'D', 'd'] + if len(columns) > 6: + _curr_sz = [30, 15, 15, 10, 10, 10, 15, 15, 15] + _curr_mark = ['*', '^', 'v', 'x', 'o', 'D', 'd', '<', '>'] + + # 4.3 绘制二元分布图（散点图） + ax3 = plt.subplot(grid[1: 6, 0: 5]) + ax3.spines[:].set_linewidth(.4) + ax3.tick_params(width=.6, length=2.5, labelsize=8) + ax3.grid(linewidth=.6, ls='-.', alpha=.4) + + for i, df in enumerate(dfs_pl): + ax3.scatter(x=df[col_X], y=df[col_Y], s=_curr_sz[i], alpha=1, + marker=_curr_mark[i], color=mycolor[i], + edgecolors='w', linewidths=.5, label=columns[i]) + # _curr_font = 'Times New Roman' # 'SimSun' + _curr_font = plt.rcParams['font.family'] + legend_font = {'family': _curr_font, 'size': 8} + _curr_nc = 1 if len(columns) <= 4 else 2 + + loc_kws = {'loc': (.98, 1.01), 'frameon': False, 'ncol': _curr_nc + # } if loc == None else {'loc': loc, 'frameon': True} + } if loc is None else {'loc': loc, 'frameon': True} + ax3.legend( + prop=legend_font, labelspacing=.35, + handleheight=1.2, handletextpad=0, + columnspacing=.3, **loc_kws) + del _curr_nc + + ax3.set_xlabel(annotX, fontsize=9, family=_curr_font, x=.55) + ax3.set_ylabel(annotY, fontsize=9, family=_curr_font, y=.55) + return ax3 + + +def _marginal_distr_read_in(raw_df, col_X, col_Y, tag_Ys, + picked_keys): + # 1. 读取数据 + dfs_pl = [] + + # 2. 重组表格数据 + for i, tag_Y in enumerate(tag_Ys): + tmp = raw_df[[col_X, tag_Y]].rename(columns={tag_Y: col_Y}) + tmp = tmp.apply(pd.to_numeric, errors='coerce') + tmp['learning'] = picked_keys[i] + dfs_pl.append(tmp) + + df_all = pd.concat(dfs_pl, axis=0).reset_index(drop=True) # 合并表格 + return dfs_pl, df_all + + +def scatter_with_marginal_distrib(df, col_X, col_Y, tag_Ys, + picked_keys, + annotX='acc', annotY='fair', + cmap_name='muted', + figsize='M-WS', figname='smd'): + # X .shape= (#num,) + # Ys.shape= (#num, #baseline_for_comparison) + # columns, i.e., picked_keys.shape= (#baseline,) + # num, nb_way = Ys.shape + + dfs_pl, df_all = _marginal_distr_read_in( + df, col_X, col_Y, tag_Ys, picked_keys) + + # 3. 设置seaborn颜色格式 + current_palette = sns.color_palette(cmap_name, len(picked_keys)) + sns.palplot(current_palette) + + # 4. 开始绘图 + fig = plt.figure(figsize=_setup_config[figsize], dpi=300) + plt.subplots_adjust(left=.11, bottom=.11, right=.98, top=.995) + grid = plt.GridSpec(6, 6, wspace=.05, hspace=.05) + # columns = picked_keys + + # ax1, ax2, ax3 = + _marginal_distrib_step1(grid, df_all, col_X, current_palette) + _marginal_distrib_step2(grid, df_all, col_Y, current_palette) + _marginal_distrib_step3(grid, dfs_pl, picked_keys, col_X, col_Y, + annotX, annotY, current_palette) + + # 5. 保存图片 + _setup_figshow(fig, figname=figname) + plt.close() + return + + +# ------------------------------- +# Linear regression with marginal distributions + + +def _marginal_distr_step4(grid, dfs_pl, columns, col_X, col_Y, + annotX, annotY, mycolor, snspec='sty1', + identity=None, distrib=True, + curr_legend_nb_split=4): # or 6 + _curr_sz = [30, 15, 15, 10, 10, 15] # 20 + _curr_mk = ['*', '^', 'v', 'x', 'D', 'd'] # mark + if len(columns) > 6: + # _curr_sz = [30, 15, 15, 10, 10, 10, 15, 15, 15] + # _curr_mk = ['*', '^', 'v', 'x', 'o', 'D', 'd', '<', '>'] + _curr_mk = ['D', '^', 'v', 'o', '*', 's', 'd', '<', '>'] # 'p' + _curr_sz = [10, 15, 15, 12, 29, 11, 15, 15, 15] + # _curr_mc = ['w'] * 3 + [None] + [''] * 5 + + ax4 = plt.subplot(grid[1: 6, 0: 5]) + ax4.spines[:].set_linewidth(.4) + ax4.tick_params(width=.6, length=2.5, labelsize=8) + if distrib: + ax4.grid(linewidth=.6, ls='-.', alpha=.4) + + # if snspec: + if snspec == 'sty1': # 's1', 'sns1' + for i, df in enumerate(dfs_pl): + tX = df[col_X].values.astype(DTY_FLT) + tY = df[col_Y].values.astype(DTY_FLT) + R = np.corrcoef(tX, tY)[1, 0] + key = 'Correlation = %.4f' % R + # regr = np.polyfit(tX, tY, deg=1) + # estimated = np.polyval(regr, tX) + + ax4.scatter(x=df[col_X], y=df[col_Y], s=_curr_sz[i], + alpha=1, # edgecolors=_curr_mc[i], + marker=_curr_mk[i], color=mycolor[i], + edgecolors='w', linewidths=.5, + label='{:4s} {}'.format(columns[i], key)) + # kws = {'color': mycolor[i], 'lw': .87, 'alpha': 1} + # _sns_line_err_bars(ax4, kws, tX, tY) + if identity is None: + _sns_line_err_bars(ax4, {'color': mycolor[ + i], 'lw': .87, 'alpha': 1}, tX, tY) + + elif snspec.startswith('sty5'): + tmp_Xs, tmp_Ys = [], [] + for i, df in enumerate(dfs_pl): + tX = df[col_X].values.astype(DTY_FLT) + tY = df[col_Y].values.astype(DTY_FLT) + R = np.corrcoef(tX, tY)[1, 0] + key = 'Correlation = %.4f' % R + ax4.scatter(x=df[col_X], y=df[col_Y], s=_curr_sz[i], + alpha=1, + marker=_curr_mk[i], color=mycolor[i], + edgecolors='w', linewidths=.5, + label='{:4s} {}'.format(columns[i], key)) + tmp_Xs.append(tX) + tmp_Ys.append(tY) + + for i, (tX, tY) in enumerate(zip(tmp_Xs, tmp_Ys)): + kws = {'color': mycolor[i], 'lw': .87, 'alpha': 1} + _sns_line_err_bars(ax4, kws, tX, tY) + del tX, tY, tmp_Xs, tmp_Ys + if identity is not None: + tx_min, tx_max = ax4.get_xlim() + ax4.plot([tx_min, tx_max], [tx_min, tx_max], 'k--', lw=.5, + label=identity) # label=r'identity') + del tx_min, tx_max + + elif snspec == 'sty4a': + tmp_Xs, tmp_Ys = [], [] + for i, df in enumerate(dfs_pl): + tX = df[col_X].values.astype(DTY_FLT) + tY = df[col_Y].values.astype(DTY_FLT) + ax4.scatter( + x=df[col_X], y=df[col_Y], s=_curr_sz[i], alpha=1, + marker=_curr_mk[i], color=mycolor[i], + edgecolors='w', linewidths=.5, label=columns[i]) + tmp_Xs.append(tX) + tmp_Ys.append(tY) + for i, (tX, tY) in enumerate(zip(tmp_Xs, tmp_Ys)): + kws = {'color': mycolor[i], 'lw': .87, 'alpha': .78} + _sns_line_err_bars(ax4, kws, tX, tY) + del tX, tY, tmp_Xs, tmp_Ys + if identity is not None: + tx_min, tx_max = ax4.get_xlim() + ax4.plot([tx_min, tx_max], [tx_min, tx_max], 'k--', lw=.5, + label=identity) # label=r'identity') + del tx_min, tx_max + elif snspec == 'sty4b': + tmp_Xs, tmp_Ys = [], [] + for i, df in enumerate(dfs_pl): + tX = df[col_X].values.astype(DTY_FLT) + tY = df[col_Y].values.astype(DTY_FLT) + ax4.scatter( + x=df[col_X], y=df[col_Y], s=_curr_sz[i], alpha=1, + marker=_curr_mk[i], color=mycolor[i], + edgecolors='w', linewidths=.5, label=columns[i]) + tmp_Xs.append(tX) + tmp_Ys.append(tY) + del tX, tY, tmp_Xs, tmp_Ys + if identity is not None: + tx_min, tx_max = ax4.get_xlim() + ax4.plot([tx_min, tx_max], [tx_min, tx_max], 'k--', lw=.5, + label=identity) # label=r'identity') + del tx_min, tx_max + + elif snspec == 'sty3': + for i, df in enumerate(dfs_pl): + sns.regplot(x=col_X, y=col_Y, data=df, label=columns[i], + marker=_curr_mk[i], color=mycolor[i], + line_kws={'lw': .87}, + scatter_kws={'s': _curr_sz[i] / 4}) + + elif snspec == 'sty2': + for i, df in enumerate(dfs_pl): + tX = df[col_X].values.astype(DTY_FLT) + tY = df[col_Y].values.astype(DTY_FLT) + R = np.corrcoef(tX, tY)[1, 0] + key = 'Correlation = %.4f' % R + # regr = np.polyfit(tX, tY, deg=1) + # estimated = np.polyval(regr, tX) + ax4.scatter(tX, tY, + label='{:4s} {}'.format(columns[i], key), + s=_curr_sz[i] / 4, marker=_curr_mk[i], + color=mycolor[i]) + kws = {'color': mycolor[i], 'lw': .87, 'alpha': 1} + _sns_line_err_bars(ax4, kws, tX, tY) + + _curr_ft = plt.rcParams['font.family'] # 'Times New Roman' + legend_font = {'family': _curr_ft, 'size': 7} + _curr_lc = (.98, 1.01) if distrib else PLT_LOCATION + _curr_nc = 1 if len(columns) <= curr_legend_nb_split else 2 + # _curr_nc = 1 if len(columns) <= 4 else 2 # <=4,6 + if snspec == 'sty5b': + _curr_nc = 1 + _curr_kw = {'frameon': False} + if not distrib: + _curr_kw['frameon'] = True + _curr_kw['framealpha'] = .7 + if _curr_nc >= 2: + _curr_kw['columnspacing'] = .4 + ax4.legend( + prop=legend_font, labelspacing=.35, handleheight=1.2, + handletextpad=0, loc=_curr_lc, ncol=_curr_nc, **_curr_kw) + del _curr_lc, _curr_nc, _curr_kw + if not distrib: + _style_set_axis(ax4) + + ax4.set_xlabel(annotX, fontsize=9, family=_curr_ft, x=.55) + ax4.set_ylabel(annotY, fontsize=9, family=_curr_ft, y=.55) + return ax4 + + +def _marginal_distr_step5(grid, dfs_pl, col_X, col_Y, mycolor): + if col_X is not None: + + # 4.1 绘制长度的边缘分布图 + ax1 = plt.subplot(grid[0, 0: 5]) + ax1.spines[:].set_linewidth(.4) # 设置坐标轴线宽 + ax1.tick_params(width=.6, length=2.5, labelsize=8 + ) # 设置坐标轴刻度的宽度与长度、数值刻度的字体 + for i, df in enumerate(dfs_pl): + sns.kdeplot(data=df, x=col_X, fill=True, + common_norm=False, legend=False, color=mycolor[i], + alpha=.5, linewidth=.5, ax=ax1) # 边缘分布图 + ax1.set_xticks([]) + ax1.set_xlabel("") + ax1.set_yticks([]) + ax1.set_ylabel("") + sns.despine(ax=ax1, left=True, bottom=True) + + else: + ax1 = None + if col_Y is not None: + + # 4.2 绘制宽度的边缘分布图 + ax2 = plt.subplot(grid[1: 6, 5]) + ax2.spines[:].set_linewidth(.4) + ax2.tick_params(width=.6, length=2.5, labelsize=8) + for i, df in enumerate(dfs_pl): + sns.kdeplot( + data=df, y=col_Y, fill=True, + common_norm=False, legend=False, color=mycolor[i], + alpha=.5, linewidth=.5, ax=ax2) + ax2.set_xticks([]) + ax2.set_xlabel("") + ax2.set_yticks([]) + ax2.set_ylabel("") + sns.despine(ax=ax2, left=True, bottom=True) + + else: + ax2 = None + return ax1, ax2 + + +def line_reg_with_marginal_distr(df, col_X, col_Y, tag_Ys, + picked_keys, + annotX='acc', annotY='fair', + invt_a=False, snspec='sty0', + distrib=True, + cmap_name='muted', + figsize='M-WS', figname='smd', + identity=None, + curr_legend_nb_split=4): + dfs_pl, df_all = _marginal_distr_read_in( + df, col_X, col_Y, tag_Ys, picked_keys) + mycolor = sns.color_palette(cmap_name, len(picked_keys)) + + fig = plt.figure(figsize=_setup_config[figsize], dpi=300) + plt.subplots_adjust(left=.11, bottom=.11, right=.98, top=.995) + grid = plt.GridSpec(6, 6, wspace=.05, hspace=.05) + + if invt_a: + col_X, col_Y = col_Y, col_X + annotX, annotY = annotY, annotX + if distrib: + # ax1 = _marginal_distrib_step1(grid, df_all, col_X, mycolor) + # ax2 = _marginal_distrib_step2(grid, df_all, col_Y, mycolor) + _marginal_distrib_step1(grid, df_all, col_X, mycolor) + _marginal_distrib_step2(grid, df_all, col_Y, mycolor) + if snspec == 'sty0': + # ax3 = + _marginal_distrib_step3(grid, dfs_pl, picked_keys, + col_X, col_Y, annotX, annotY, + mycolor) # , distrib=distrib) + elif snspec in ['sty1', 'sty2', 'sty3', # 'sty4', 'sty5', + 'sty6', 'sty4a', 'sty4b', 'sty5a', 'sty5b']: + # ax4 = + _marginal_distr_step4( + grid, dfs_pl, picked_keys, col_X, col_Y, + annotX, annotY, mycolor, snspec, + identity=identity, distrib=distrib, + curr_legend_nb_split=curr_legend_nb_split) + + _setup_figshow(fig, figname=figname) + plt.close(fig) + return + + +def single_line_reg_with_distr(X, Y, annots=('X', 'Y', 'Z'), + figname='sing_linreg', figsize='M-WS', + linreg=False, distrib=False, + snspec='sty2', cmap_name='coolwarm', + sci_format_y=False): + # mycolor = sns.color_palette(cmap_name) + + fig = plt.figure(figsize=_setup_config[figsize], dpi=300) + plt.subplots_adjust(left=.11, bottom=.11, right=.98, top=.995) + grid = plt.GridSpec(6, 6, wspace=.05, hspace=.05) + + if distrib: + df = pd.DataFrame({'x': X, 'y': Y}) + kwd = { + 'fill': True, + 'common_norm': False, 'legend': False, + # 'palette': mycolor, + 'alpha': .5, 'linewidth': .5} + + # def _marginal_distrib_step1: + ax1 = plt.subplot(grid[0, 0: 5]) + ax1.spines[:].set_linewidth(.4) + ax1.tick_params(width=.6, length=2.5, labelsize=8) + sns.kdeplot(data=df, x='x', ax=ax1, **kwd) + ax1.set_xticks([]) + ax1.set_xlabel("") + ax1.set_yticks([]) + ax1.set_ylabel("") + sns.despine(ax=ax1, left=True, bottom=True) + + # def _marginal_distrib_step2: + ax2 = plt.subplot(grid[1: 6, 5]) + ax2.spines[:].set_linewidth(.4) + ax2.tick_params(width=.6, length=2.5, labelsize=8) + sns.kdeplot(data=df, y='y', ax=ax2, **kwd) + ax2.set_xticks([]) + ax2.set_xlabel("") + ax2.set_yticks([]) + ax2.set_ylabel("") + sns.despine(ax=ax2, left=True, bottom=True) + + # def _marginal_distr_step4: + ax4 = plt.subplot(grid[1: 6, 0: 5]) + ax4.spines[:].set_linewidth(.4) + ax4.tick_params(width=.6, length=2.5, labelsize=8) + # ax4.grid(linewidth=.6, ls='-.', alpha=.4) + _curr_ft = plt.rcParams['font.family'] # 'Times New Roman' + legend_font = {'family': _curr_ft, 'size': 8} + + R = np.corrcoef(X, Y)[1, 0] + key = 'Correlation = %.4f' % R + regr = np.polyfit(X, Y, deg=1) + estimated = np.polyval(regr, X) + Z = sorted(X) + annotZ = annots[2] if len(annots) > 2 else r'$f(x)=x$' + + if distrib: + sns.regplot( + x='x', y='y', data=df, label=key, + # line_kws={'lw': .87}, scatter_kws={'s': 10}) + scatter_kws={'s': 27, 'edgecolors': 'w', + 'lw': .1}, # , 'color': 'blue'}, + line_kws={'lw': 1}) + if snspec == 'sty5': + plt.plot(Z, Z, 'k--', lw=1, + label='{:4s}{}'.format('', annotZ)) + plt.plot(X, estimated, '-', lw=1, color='navy') + ax4.legend( + prop=legend_font, labelspacing=.35, handleheight=1.2, + # handletextpad=0, loc=(.98, 1.01), frameon=False) + handletextpad=0, loc='best', frameon=False) + elif linreg: # if snspec == 'sty1': + + if snspec == 'sty2': + # ax4.scatter(X, Y, label=key) + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.5, label=key) # s='.', + plt.plot(X, estimated, 'k-', lw=1) + elif snspec == 'sty3a': + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.4) + plt.plot(X, estimated, '-', lw=1, label=key, color='navy') + plt.plot(Z, Z, 'k--', lw=1, label=annotZ) + # plt.plot(X, estimated, '-', lw=1, label=key, color='navy') + elif snspec == 'sty3b': + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.4, label=key) + plt.plot(X, estimated, '-', lw=1, color='navy') + plt.plot(Z, Z, 'k--', lw=1, label=annotZ) + elif snspec == 'sty4': + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.2, s=27) + plt.plot(Z, Z, 'k--', lw=1, label=annotZ) + elif snspec == 'sty6': + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.4) + tx_min, tx_max = ax4.get_xlim() + annotZ = r'$\hat{\mathbf{D}}_{\cdot}=\mathbf{D}_{\cdot}$' + if len(annots) > 2: + annotZ = annots[2] + ax4.plot([tx_min, tx_max], [0, 0], 'k--', lw=1, label=annotZ) + del tx_min, tx_max + + # if snspec != 'sty4': + if snspec not in ['sty4', 'sty6']: + kws = {'color': 'navy', 'lw': 1} + _sns_line_err_bars(ax4, kws, X, Y) + ax4.legend(prop=legend_font, loc='best', frameon=False) + _style_set_axis(ax4) + del annotZ, Z + + ax4.set_xlabel(annots[0], fontsize=9, family=_curr_ft, x=.55) + ax4.set_ylabel(annots[1], fontsize=9, family=_curr_ft, y=.55) + # def end. + if sci_format_y: # if sci_y_format: + # ax4.ticklabel_format(style='sci', scilimits=(-2, 3), axis='y') + ax4.ticklabel_format(style='sci', scilimits=(-3, 4), axis='y') + ax4.yaxis.get_offset_text().set_fontsize(8) # 7) + + _setup_figshow(fig, figname=figname) + plt.close(fig) + return + + +# ------------------------------- +# shaded uncertainty region in line plot + + +def _uncertainty_read_in(dfs_pl, col_X, col_Y, num_gap=1000, + alpha_loc='b4|af', alpha_rev=False): + # dfs_pl: list of pd.DataFrame, + # len()= #baseline_for_comparison + # each element is pd.DataFrame, + # columns= ['col_X', 'col_Y', 'learning'] + # shape = (#num, 3) + + X = np.linspace(0, 1, num_gap) + baseline_Ys = [] + for df in dfs_pl: # for i, df in enumerate(dfs_pl): + Ys = [] + for alpha in X: + # ''' + # if (alpha_loc == 'b4') and (not alpha_rev): + # tmp = df[col_X] * alpha + (1. - alpha) * df[col_Y] + # elif (alpha_loc == 'af') and (not alpha_rev): + # tmp = df[col_X] * (1. - alpha) + alpha * df[col_Y] + # elif (alpha_loc == 'b4') and alpha_rev: # reverse + # tmp = (1 - df[col_X]) * alpha + (1. - alpha) * df[col_Y] + # elif (alpha_loc == 'af') and alpha_rev: # reverse + # tmp = (1 - df[col_X]) * (1. - alpha) + alpha * df[col_Y] + # ''' + + # assert alpha_loc in ('b4', 'af') + if (not alpha_rev) and (alpha_loc == 'b4'): + tmp = df[col_X] * alpha + (1. - alpha) * df[col_Y] + elif not alpha_rev: # (alpha_loc == 'af') and + tmp = df[col_X] * (1. - alpha) + alpha * df[col_Y] + elif alpha_loc == 'b4': # and alpha_rev: # reverse + tmp = (1 - df[col_X]) * alpha + (1. - alpha) * df[col_Y] + else: # if (alpha_loc=='af') and alpha_rev: # reverse + tmp = (1 - df[col_X]) * (1. - alpha) + alpha * df[col_Y] + Ys.append(tmp.values) # (#num,) + baseline_Ys.append(Ys) # (num_gap, #num) + # baseline_Ys.shape= (#baseline, #gap, #num) + + # baseline_Ys = np.array(baseline_Ys, dtype='float') + # return X, baseline_Ys, np.mean( + # baseline_Ys, axis=2), np.std(baseline_Ys, axis=2, ddof=ddof) + return X, np.array(baseline_Ys, dtype=DTY_FLT) + + +def _sub_unc_text(annotY, alpha_loc): + # if annotY is None: + # if alpha_loc == 'b4': + # annotY = r'$\alpha·$ performance $+(1-\alpha)·$ fairness' + # elif alpha_loc == 'af': + # annotY = r'$(1-\alpha)·$ performance $+\alpha·$ fairness' + # else: + # if alpha_loc == 'b4': + # annotY = r'$\alpha·${} $+($1$-\alpha)·$ fairness'.format(annotY) + # elif alpha_loc == 'af': + # annotY = r'$($1$-\alpha)·${} $+\alpha·$ fairness'.format(annotY) + + assert alpha_loc in ['b4', 'af'] + if annotY is None: + if alpha_loc == 'b4': + annotY = r'$\alpha·$ performance $+(1-\alpha)·$ fairness' + elif alpha_loc == 'af': + annotY = r'$(1-\alpha)·$ performance $+\alpha·$ fairness' + return annotY + if alpha_loc == 'b4': + annotY = r'$\alpha·${} $+($1$-\alpha)·$ fairness'.format(annotY) + elif alpha_loc == 'af': + annotY = r'$($1$-\alpha)·${} $+\alpha·$ fairness'.format(annotY) + return annotY # CC 7->6 + + +def _uncertainty_plotting(X, Ys, picked_keys, annotY=None, ddof=0, + alpha_loc='b4|af', cmap_name='husl', + figsize='M-WS', figname='lwu', + alpha_clarity=.3): + ''' + _curr_sty = ['-.', '-.', '-.', '--', '-', '-'] + if len(picked_keys) > 6: + # _curr_sty = ['-.', '-.', '-.', '--', '-', '-', ':', '-', ':'] + _curr_sty.extend([':', '-', ':']) + ''' + _curr_sty = ['-.', '-.', '-.', '--', '-', '-'] + [':', '-', ':'] + + # X # (#gap,) + Ys_avg = np.mean(Ys, axis=2) # (#baseline, #gap) + Ys_std = np.std(Ys, axis=2, ddof=ddof) # (#baseline, #gap) + # picked_keys # (#baseline,) + + fig, ax = plt.subplots(figsize=_setup_config['M-NT']) + # clrs = sns.color_palette(cmap_name, len(picked_keys)) + # with sns.axes_style('darkgrid'): + # # epochs = list(range(101)) + clrs = sns.color_palette(cmap_name, len(picked_keys)) # palette=) + + for i, _ in enumerate(picked_keys): # _:key + ax.plot(X, Ys_avg[i], + _curr_sty[i], label=picked_keys[i], c=clrs[i], lw=1) + # ax.plot(X, Ys_avg[i], label=picked_keys[i], c=clrs[i]) + ax.fill_between( + X, Ys_avg[i] - Ys_std[i], Ys_avg[i] + Ys_std[i], + # alpha=.3, facecolor=clrs[i]) + alpha=alpha_clarity, facecolor=clrs[i]) # .1 + # ax.legend() + # ax.set_yscale('log') + + ax.legend(labelspacing=.1, prop={ + 'size': 9 if len(picked_keys) <= 6 else 8}) + ax.set_xlim(X[0], X[-1]) + ax.set_xlabel(r'$\alpha$') + annotY = _sub_unc_text(annotY, alpha_loc) + + # ''' + # assert alpha_loc in ('b4', 'af') + # if (annotY is None) and (alpha_loc == 'b4'): + # annotY = r'$\alpha·$ performance $+(1-\alpha)·$ fairness' + # elif annotY is None: # and (alpha_loc == 'af'): + # annotY = r'$(1-\alpha)·$ performance $+\alpha·$ fairness' + # elif alpha_loc == 'b4': + # annotY = r'$\alpha·${} $+($1$-\alpha)·$ fairness'.format(annotY) + # else: # alpha_loc == 'af': + # annotY = r'$($1$-\alpha)·${} $+\alpha·$ fairness'.format(annotY) + # ''' + ax.set_ylabel(annotY, fontsize=9) + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def lineplot_with_uncertainty(df, col_X, col_Y, tag_Ys, picked_keys, + # annotX='acc', annotY='fair', + annotY=None, ddof=0, num_gap=100, + alpha_loc='b4', cmap_name='husl', + alpha_rev=True, # middle of annotY + figsize='M-WS', figname='lwu', + alpha_clarity=.3): + dfs_pl, _ = _marginal_distr_read_in( # ,df_all + df, col_X, col_Y, tag_Ys, picked_keys) # alp_loc/rev + X, Ys = _uncertainty_read_in(dfs_pl, col_X, col_Y, num_gap=num_gap, + alpha_loc=alpha_loc, alpha_rev=alpha_rev) + kwargs = {'figsize': figsize, 'figname': figname} + _uncertainty_plotting(X, Ys, picked_keys, annotY, ddof, + alpha_loc=alpha_loc, + alpha_clarity=alpha_clarity, + cmap_name=cmap_name, **kwargs) + + +# ------------------------------- + + +# =============================== +# Python Matlablib plot + + +# ------------------------------- +# fairmanf ext.(extension) + + +# ------------------------------- +# refers to: +# def single_line_reg_with_distr(): +# + + +def _subproc_pl_lin_reg(ax4, X, Y, Z, annotZ, snspec, clr='navy', + reverse=False, corr=True, sz=None, mk=None): + if Y is None: + return + + R = np.corrcoef(X, Y)[1, 0] + key = 'Correlation = %.4f' % R + regr = np.polyfit(X, Y, deg=1) + estimated = np.polyval(regr, X) + # # Z = sorted(X) + # ''' + # if not reverse: + # key = '{} {}'.format(key, Z) # Z, key) + # elif reverse: + # key = '{:9s} {}'.format(Z, key) + # ''' + key = '{} {}'.format(key, Z) if ( + not reverse) else '{:9s} {}'.format(Z, key) + + if snspec == 'sty3a': + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.4, color=clr) + plt.plot(X, estimated, '-', lw=1, label=key, color=clr) + # plt.plot(Z, Z, 'k--', lw=1, label=annotZ) + elif snspec == 'sty3b': + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.4, label=key, color=clr) + plt.plot(X, estimated, '-', lw=1, color=clr) + elif snspec == 'sty4': + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.2, s=27, label=Z, color=clr) + elif snspec == 'sty6': + ax4.scatter(x=X, y=Y, alpha=1, edgecolors='w', + linewidths=.4, label=Z, color=clr) + + elif snspec == 'sty5a': + ax4.scatter(x=X, y=Y, s=sz, marker=mk, alpha=1, + edgecolors='w', linewidths=.5, color=clr) + ax4.plot(X, estimated, '-', lw=1, + label=key if corr else Z, color=clr) + elif snspec == 'sty5b': + ax4.scatter(x=X, y=Y, s=sz, marker=mk, alpha=1, + edgecolors='w', linewidths=.5, color=clr, + label=key if corr else Z) + ax4.plot(X, estimated, '-', lw=1, color=clr) + + return + + +def _subproc_pl_lin_reg_alt(ax4, X, Y, snspec, clr='navy'): + if Y is None: + return + if snspec not in ['sty4', 'sty6']: + kws = {'color': clr, 'lw': 1} + _sns_line_err_bars(ax4, kws, X, Y) + return + + +def _subproc_pl_identity(ax4, Xs, annotZ, snspec): + # Zs = [sorted(X) for X in Xs] # , clr='navy'): + tX = np.concatenate(Xs, axis=0) + Z = sorted(tX) # tZ = sorted(tX) + if snspec in ['sty3a', 'sty3b', 'sty4', + 'sty5a', 'sty5b']: + plt.plot(Z, Z, 'k--', lw=1, label=annotZ) + elif snspec == 'sty6': + tx_min, tx_max = ax4.get_xlim() + ax4.plot([tx_min, tx_max], [0, 0], 'k--', lw=1, label=annotZ) + del tx_min, tx_max + del Z, tX + return + + +_pl_myclr = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', + '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] + + +def multi_lin_reg_with_distr(Xs, Ys, Zs, annots=('X', 'Y', 'Z'), + figname='pl_linreg', figsize='M-WS', + # linreg=False, # distrib=False, + snspec='sty2', cmap_name='coolwarm', + sci_format_y=True): # default:False + # mycolor = sns.color_palette(cmap_name) + fig = plt.figure(figsize=_setup_config[figsize], dpi=300) + plt.subplots_adjust(left=.11, bottom=.11, right=.98, top=.995) + grid = plt.GridSpec(6, 6, wspace=.05, hspace=.05) + + ax4 = plt.subplot(grid[1: 6, 0: 5]) + ax4.spines[:].set_linewidth(.4) + ax4.tick_params(width=.6, length=2.5, labelsize=8) + _curr_ft = plt.rcParams['font.family'] # 'Times New Roman' + legend_font = {'family': _curr_ft, 'size': 8} + + annotZ = r'$\hat{\mathbf{D}}_\cdot=\mathbf{D}_\cdot$' + annotZ = annots[2] if len(annots) > 2 else r'$f(x)=x$' + # myclr = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', + # '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] + myclr = _pl_myclr + + _subproc_pl_lin_reg( + ax4, Xs[0], Ys[0][0], Zs[0][0], annotZ, snspec, myclr[0]) + _subproc_pl_lin_reg( + ax4, Xs[0], Ys[0][1], Zs[0][1], annotZ, snspec, myclr[1]) + _subproc_pl_lin_reg( + ax4, Xs[1], Ys[1], Zs[1], annotZ, snspec, myclr[2]) + _subproc_pl_lin_reg_alt(ax4, Xs[0], Ys[0][0], snspec, clr=myclr[0]) + _subproc_pl_lin_reg_alt(ax4, Xs[0], Ys[0][1], snspec, clr=myclr[1]) + _subproc_pl_lin_reg_alt(ax4, Xs[1], Ys[1], snspec, clr=myclr[2]) + _subproc_pl_identity(ax4, Xs, annotZ, snspec) + + if snspec in ['sty3a', 'sty3b', ]: + _curr_fram = {'frameon': False, 'loc': 'upper left'} + elif snspec in ['sty6', ]: + _curr_fram = {'frameon': True, 'framealpha': .5, + 'loc': 'upper right'} # 'loc': 'best'} + elif snspec in ['sty4']: + _curr_fram = {'loc': 'best', 'frameon': True, 'framealpha': .5} + ax4.legend(prop=legend_font, labelspacing=.35, **_curr_fram) + if sci_format_y: + ax4.ticklabel_format(style='sci', scilimits=(-3, 4), axis='y') + ax4.yaxis.get_offset_text().set_fontsize(8) # 7) + _style_set_axis(ax4) + ax4.set_xlabel(annots[0], fontsize=9, family=_curr_ft, x=.55) + ax4.set_ylabel(annots[1], fontsize=9, family=_curr_ft, y=.55) + _setup_figshow(fig, figname=figname) + plt.close(fig) + return + + +# ------------------------------- +# refers to +# def multi_lin_reg_with_distr +# + + +def multi_lin_reg_without_distr(X, Ys, Zs, annots=('X', 'Y', 'Z'), + figname='pl_linreg', figsize='M-WS', + snspec='sty4', # cmap_names='coolwarm', + sci_format_y=False): + fig = plt.figure(figsize=_setup_config[figsize], dpi=300) + plt.subplots_adjust(left=.11, bottom=.11, right=.98, top=.995) + grid = plt.GridSpec(6, 6, wspace=.05, hspace=.05) + ax4 = plt.subplot(grid[1: 6, 0: 5]) + ax4.spines[:].set_linewidth(.4) + ax4.tick_params(width=.6, length=2.5, labelsize=8) + _curr_ft = plt.rcParams['font.family'] # 'Times New Roman' + legend_font = {'family': _curr_ft, 'size': 8} + + myclr = _pl_myclr + annotZ = annots[2] if len(annots) > 2 else r'$f(x)=x$' + n_k = len(Ys) # aka. len(Zs) + start_i = 2 if n_k == 2 else 1 + for i in range(n_k): + _subproc_pl_lin_reg(ax4, X, Ys[i], Zs[i], annotZ, + snspec, myclr[i + start_i]) + for i in range(n_k): + _subproc_pl_lin_reg_alt( + ax4, X, Ys[i], snspec, myclr[i + start_i]) + _subproc_pl_identity(ax4, [X, X], annotZ, snspec) + + if snspec in ['sty3a', 'sty3b', ]: + _curr_fram = {'frameon': False, 'loc': 'upper left', + 'framealpha': .5} # 'loc': 'best', + elif snspec in ['sty6', ]: + _curr_fram = {'frameon': True, 'framealpha': .5, + 'loc': 'upper right'} # 'loc': 'best'} + elif snspec in ['sty4']: + _curr_fram = {'loc': 'best', 'frameon': True, 'framealpha': .5} + ax4.legend(prop=legend_font, labelspacing=.35, **_curr_fram) + if sci_format_y: + ax4.ticklabel_format(style='sci', scilimits=(-3, 4), axis='y') + ax4.yaxis.get_offset_text().set_fontsize(8) + _style_set_axis(ax4) + ax4.set_xlabel(annots[0], fontsize=9, family=_curr_ft, x=.55) + ax4.set_ylabel(annots[1], fontsize=9, family=_curr_ft, y=.55) + _setup_figshow(fig, figname=figname) + plt.close(fig) + return + + +# ------------------------------- + + +def scatter_parl_chart_renew(centralised, distributed, mp_cores=3, + figname='parl', figsize='M-WS', + identity=True): + speed_up = np.divide(centralised, distributed) + efficiency = speed_up / mp_cores + annotY = [r'Speedup = $\frac{ T }{ T_{par} }$', + r'Efficiency = $\frac{T}{m T_{par}}$'] + annotX = r'Sequential running time $T$ (sec)' + picked_key = r'$m$ = {}'.format(mp_cores) + + fig = plt.figure(figsize=_setup_config['L-NT']) + plt.scatter(centralised, speed_up, s=19, c='royalblue', + label=picked_key, edgecolors='w', linewidths=.2) + if identity: + annotZ = 'Speedup =1' # 'speedup =1' + tx_min, tx_max = fig.gca().get_xlim() + plt.plot([tx_min, tx_max], [1, 1], 'k--', lw=.8, label=annotZ) + # plt.xlabel('No parallel computing') + # plt.ylabel('Computing in parallel') + plt.xlabel(annotX) + plt.ylabel(annotY[0]) # plt.ylabel('Speedup') + plt.legend(loc=PLT_LOCATION, labelspacing=.1, frameon=True) + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname + '_parl_sp') + plt.clf() # fig) + + plt.scatter(centralised, efficiency, s=19, c='slateblue', + label=picked_key, edgecolors='w', linewidths=.2) + if identity: + annotZ = 'Efficiency =1' # 'efficiency =1' + plt.plot([tx_min, tx_max], [1, 1], 'k--', lw=.8, label=annotZ) + del tx_min, tx_max + plt.xlabel(annotX) + plt.ylabel(annotY[1]) # plt.ylabel('Efficiency') + plt.legend(loc=PLT_LOCATION, labelspacing=.1, frameon=True) + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname + '_parl_ep') + plt.close(fig) + return + + +# def _hyper_pm_step4(ax4, snspec): +# pass +def hyper_params_lin_reg(X, Ys, tag_Ys, picked_keys, + annots=('acc', 'fair', 'Z'), + figname='smd', figsize='M-WS', + distrib=False, identity=True, + sci_format_y=False, corr=False, + curr_legend_nb_split=4, + cmap_name='muted', snspec='sty5b'): + mycolor = sns.color_palette(cmap_name, len(picked_keys)) + fig = plt.figure(figsize=_setup_config[figsize], dpi=300) + plt.subplots_adjust(left=.11, bottom=.11, right=.98, top=.995) + grid = plt.GridSpec(6, 6, wspace=.05, hspace=.05) + + _curr_mk = ['D', '^', 'v', 'o', '*', 's', 'd', '<', '>'] + _curr_sz = [10, 15, 15, 12, 29, 11, 15, 15, 15] + ax4 = plt.subplot(grid[1: 6, 0: 5]) + ax4.spines[:].set_linewidth(.4) + ax4.tick_params(width=.6, length=2.5, labelsize=8) + if distrib: + ax4.grid(linewidth=.6, ls='-.', alpha=.4) + + annotZ = annots[2] if len(annots) > 2 else r'$f(x)=x$' + # identity + # nb_choice = len(picked_keys) + # for i in range(nb_choice): + for i, key in enumerate(picked_keys): + _subproc_pl_lin_reg( + ax4, X, Ys[key], tag_Ys[key], annotZ, snspec, + mycolor[i], True, corr, _curr_sz[i], _curr_mk[i]) + for i, key in enumerate(picked_keys): + _subproc_pl_lin_reg_alt(ax4, X, Ys[key], snspec, mycolor[i]) + if identity: + _subproc_pl_identity(ax4, [X, X], annotZ, snspec) + + if snspec in ['sty3a', 'sty3b']: + _curr_fram = {'frameon': False, 'loc': 'upper left'} + elif snspec in ['sty5a', 'sty5b']: + _curr_nc = 1 if len(picked_keys) <= curr_legend_nb_split else 2 + _curr_fram = { + 'frameon': True, 'loc': 'upper left', 'framealpha': .5, + 'handleheight': 1.2, 'handletextpad': 0, 'ncol': _curr_nc} + del _curr_nc + elif snspec in ['sty6', ]: + _curr_fram = {'frameon': True, 'framealpha': .5, + 'loc': 'upper right'} # 'loc': 'best'} + elif snspec in ['sty4']: + _curr_fram = {'loc': 'best', 'frameon': True, 'framealpha': .5} + _curr_ft = plt.rcParams['font.family'] # 'Times New Roman' + legend_font = {'family': _curr_ft, 'size': 8} + ax4.legend(prop=legend_font, labelspacing=.35, **_curr_fram) + if sci_format_y: + ax4.ticklabel_format(style='sci', scilimits=(-3, 4), axis='y') + ax4.yaxis.get_offset_text().set_fontsize(8) # 7) + _style_set_axis(ax4) + ax4.set_xlabel(annots[0], fontsize=9, family=_curr_ft, x=.55) + ax4.set_ylabel(annots[1], fontsize=9, family=_curr_ft, y=.55) + del _curr_ft, legend_font, _curr_fram, _curr_sz, _curr_mk + + _setup_figshow(fig, figname=figname) + plt.close(fig) + return + + +# ------------------------------- + +# ------------------------------- + + +# =============================== +# RR plot + + +# ------------------------------- + +# ------------------------------- + +# ------------------------------- + + +# =============================== +# FairGBM +# https://arxiv.org/pdf/2209.07850 + + +# ------------------------------- +# Figure 2(a) + + +def FairGBM_scatter(Xs, Ys, annot, label=('X', 'Y'), + cmap_name='deep', # 'colorblind', + figname='FairGBM', figsize='M-WS'): + # Xs.shape (#model, #experiment /iteration) + # Ys.shape (#model, #experiment /iteration) + curr_palette = sns.color_palette(cmap_name, len(annot)) + sns.palplot(curr_palette) # current color theme + + dfs_pl = [] + for i, ant in enumerate(annot): + tmp = pd.DataFrame({'x': Xs[i], 'y': Ys[i]}) + # tmp = tmp.apply(pd.to_numeric, errors='coerce') + tmp['learning'] = ant + dfs_pl.append(tmp) + df_all = pd.concat(dfs_pl, axis=0).reset_index(drop=True) + + fig = plt.figure(figsize=_setup_config[figsize], dpi=300) + plt.subplots_adjust(left=.11, bottom=.11, right=.98, top=.995) + grid = plt.GridSpec(6, 6, wspace=.05, hspace=.05) + # ax1, ax2, ax3 = + _marginal_distrib_step1(grid, df_all, 'x', curr_palette) + _marginal_distrib_step2(grid, df_all, 'y', curr_palette) + _marginal_distrib_step3(grid, dfs_pl, annot, 'x', 'y', + label[0], label[1], curr_palette, + loc='best') + + _setup_figshow(fig, figname=figname) + plt.close() + return + + +# ------------------------------- +# Figure 2(b) + + +def FairGBM_tradeoff_v1(X, Y, annot, label=('X', 'Y'), + num_gap=1000, + alpha_loc='b4|af', alpha_rev=False, + alpha_clarity=.15, cmap_name='colorblind', + figname='FairGBM', figsize='M-WS'): + # X.shape (#model,) + # Y.shape (#model,) + + Z = np.linspace(0, 1, num_gap) + baseline_Ys = [] + # for i, ant in enumerate(annot): + # tmp = [] + for alpha in Z: + if (alpha_loc == 'b4') and (not alpha_rev): + tmp = X * alpha + (1. - alpha) * Y + label_y = r'$\alpha·$ performance $+(1-\alpha)·$ fairness' + elif (alpha_loc == 'af') and (not alpha_rev): + tmp = X * (1. - alpha) + alpha * Y + label_y = r'$(1-\alpha)·$ performance $+\alpha·$ fairness' + elif (alpha_loc == 'b4') and alpha_rev: + tmp = (1. - X) * alpha + (1. - alpha) * Y + label_y = r'$\alpha·${} $+($1$-\alpha)·$ {}'.format(*label) + elif (alpha_loc == 'af') and alpha_rev: + tmp = (1. - X) * (1. - alpha) + alpha * Y + label_y = r'$($1$-\alpha)·${} $+\alpha·$ {}'.format(*label) + # tmp.shape (#model,) + baseline_Ys.append(tmp) + baseline_Ys = np.array(baseline_Ys).transpose() + # baseline_Ys.shape (#model, #gap) + + curr_palette = sns.color_palette(cmap_name, len(annot)) + sns.palplot(curr_palette) + _curr_sty = ['-.', '-.', '-.', '--', '-', '-', ':', '-', ':'] + fig = plt.figure(dpi=300) + ax = fig.add_subplot(111) + kws = {'color': 'navy', 'lw': 1} + for i, ant in enumerate(annot): + kws['color'] = curr_palette[i] + kws['label'] = ant # annot[i] + kws['linestyle'] = _curr_sty[i] + _sns_line_err_bars(ax, kws, Z, baseline_Ys[i]) + + ax.set_xlabel(r'$\alpha$') # label[0]) + ax.set_ylabel(label_y) # label[1]) + plt.legend(loc='best', frameon=True, + labelspacing=.07, prop={'size': 9}) + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname=figname) + plt.close() + return + + +def FairGBM_tradeoff_v3(Xs, Ys, annot, label=('X', 'Y'), + num_gap=1000, cmap_name='colorblind', + alpha_loc='b4|af', alpha_rev=False, + alpha_clarity=.15, + figname='FairGBM', figsize='M-WS'): + # Xs.shape (#model, #experiment /iteration) + # Ys.shape (#model, #experiment /iteration) + Z = np.linspace(0, 1, num_gap) # (#gap,) + baseline_Ys = [] + for alpha in Z: + if (alpha_loc == 'b4') and (not alpha_rev): + tmp = Xs * alpha + (1. - alpha) * Ys + elif (alpha_loc == 'af') and (not alpha_rev): + # tmp = Xs * (1. - alpha) + alpha * Ys[i] + tmp = Xs * (1. - alpha) + alpha * Ys + elif (alpha_loc == 'b4') and alpha_rev: + tmp = (1. - Xs) * alpha + (1. - alpha) * Ys + elif (alpha_loc == 'af') and alpha_rev: + tmp = (1. - Xs) * (1. - alpha) + alpha * Ys + # tmp.shape (#model, #experiment /iteration) + baseline_Ys.append(tmp) + baseline_Ys = np.array(baseline_Ys).transpose(1, 0, 2) + # baseline_Ys.shape (#model, #gap, #iteration) + # baseline_Ys = np.array(baseline_Ys) # (#model, #gap,#..) + n = baseline_Ys.shape[2] + ZZ = np.repeat(Z, n).reshape(-1, n).T.reshape(-1) + base_Ys = baseline_Ys.reshape(-1, num_gap * n) + # ZZ = np.array([Z for _ in range(n)]).reshape(-1) + del n + + kwargs = {'figsize': figsize, 'figname': figname} + kwargs['alpha_loc'] = alpha_loc + kwargs['alpha_clarity'] = alpha_clarity + curr_palette = sns.color_palette(cmap_name, len(annot)) + sns.palplot(curr_palette) + _curr_sty = ['-.', '-.', '-.', '--', '-', '-', ':', '-', ':'] + if alpha_loc == 'b4': + label_y = r'$\alpha·${} $+($1$-\alpha)·$ {}'.format(*label) + elif alpha_loc == 'af': + label_y = r'$($1$-\alpha)·${} $+\alpha·$ {}'.format(*label) + fig = plt.figure(dpi=300) + ax = fig.add_subplot(111) + kws = {'color': 'navy', 'lw': 1} + for i, ant in enumerate(annot): + kws['color'] = curr_palette[i] + kws['label'] = ant # annot[i] + kws['linestyle'] = _curr_sty[i] + _sns_line_err_bars(ax, kws, ZZ, base_Ys[i]) + + ax.set_xlabel(r'$\alpha$') + ax.set_ylabel(label_y) + plt.legend(loc='best', frameon=True, + labelspacing=.07, prop={'size': 9}) + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname=figname) + plt.close() + return + + +def FairGBM_tradeoff_v2(Xs, Ys, annot, label=('X', 'Y'), + num_gap=1000, cmap_name='colorblind', + alpha_loc='b4|af', alpha_rev=False, + alpha_clarity=.15, + figname='FairGBM', figsize='M-WS'): + # Xs.shape (#model, #experiment /iteration) + # Ys.shape (#model, #experiment /iteration) + Z = np.linspace(0, 1, num_gap) # (#gap,) + baseline_Ys = [] + for alpha in Z: + if (alpha_loc == 'b4') and (not alpha_rev): + tmp = Xs * alpha + (1. - alpha) * Ys + elif (alpha_loc == 'af') and (not alpha_rev): + # tmp = Xs * (1. - alpha) + alpha * Ys[i] + tmp = Xs * (1. - alpha) + alpha * Ys + elif (alpha_loc == 'b4') and alpha_rev: + tmp = (1. - Xs) * alpha + (1. - alpha) * Ys + elif (alpha_loc == 'af') and alpha_rev: + tmp = (1. - Xs) * (1. - alpha) + alpha * Ys + # tmp.shape (#model, #experiment /iteration) + baseline_Ys.append(tmp) + baseline_Ys = np.array(baseline_Ys).transpose(1, 0, 2) + # baseline_Ys.shape (#model, #gap, #iteration) + # baseline_Ys = np.array(baseline_Ys) # (#model, #gap,#..) + + kwargs = {'figsize': figsize, 'figname': figname} + kwargs['alpha_loc'] = alpha_loc + kwargs['alpha_clarity'] = alpha_clarity + _uncertainty_plotting(Z, baseline_Ys, annot, label[1], **kwargs) + + # _setup_figshow(fig, figname=figname) + # plt.close() + return + + +# ------------------------------- + +# ------------------------------- + +# ------------------------------- diff --git a/pyfair/granite/draw_chart.py b/pyfair/granite/draw_chart.py new file mode 100644 index 0000000..314548b --- /dev/null +++ b/pyfair/granite/draw_chart.py @@ -0,0 +1,800 @@ +# coding: utf-8 +# Author: Yijun + + +import itertools +import numpy as np +# from scipy import stats +# from sklearn.metrics import confusion_matrix +import matplotlib as mpl +import matplotlib.pyplot as plt + + +# from fairml.facils.data_entropy import prob, jointProb +# from fairml.facils.data_distance import ( +from pyfair.marble.data_distance import ( + Wasserstein_dis, + KL_divergence, Bhattacharyya_dist, # JS_divergence, + Hellinger_dist_v2, JS_div, # Hellinger_dist_v1, + _discrete_joint_cnts) # f_divergence, + +# from fairml.facilc.draw_hypos import ( # .draw.utils_hypos +# Friedman_test, Nememyi_posthoc_test) +# from pyfair.senior.draw_graph import ( # .draw.utils_graph +from pyfair.facil.draw_prelim import ( + PLT_FRAMEBOX, PLT_LOCATION, DTY_PLT, # PLT_AX_STYLE, + _setup_config, _barh_kwargs, _barh_fcolor, + _setup_figsize, _setup_figshow, # _sns_line_err_bars, + _setup_locater, _style_set_fig, _style_set_axis) +from pyfair.granite.draw_graph import _sns_line_err_bars + + +mpl.use('Agg') # set the 'backend' +# plt.switch_backend('agg') +# mpl.rc('font', **{'family': 'sans-serif', 'sans-serif': ['Helvetica']}) +# mpl.rc('text', usetex=True) + + +# ===================================== +# Preliminaries + + +_multi_figsize = {1: (3.05, 2.52), + 2: (5.61, 2.52), + 3: (8.35, 2.57), + 4: (11.35, 2.57)} # _setup + + +# ---------------------------------- +# 散点图和拟合曲线，相关系数 + + +# colour matching / combination +_nat_sci_cs = [ + [223, 158, 155], # DF9E9B + [153, 186, 223], # 99BADF + [216, 231, 202], # D8E7CA + [153, 205, 206], # 99CDCE + [153, 154, 205], # 999ACD + [255, 208, 233], # FFD0E9 +] # RGB, HEX # (i/255 for i in colour) +_nat_sci_cs = [ + '#DF9E9B', '#99BADF', '#D8E7CA', + '#99CDCE', '#999ACD', '#FFD0E9', +] + + +_nat_sci_cs = [ + # '#1d3557', '#457b9d', '#a8dadb', '#e73847', '#fadaef', + # '#457b9d', '#a8dadb', '#fadaef', '#e73847', '#1d3557', + '#e73847', '#a8dadb', '#457b9d', '#1d3557', # '#fadaef', + # '#1A0841', '#4F9DA6', '#FFAD5A', '#FF5959', + # [26, 8, 65], [79, 157, 166], [255, 173, 90], [255, 89, 89], + # '#e73847', '#fadaef', '#a8dadb', '#457b9d', '#1d3557', + # '#264653', '#2a9d8e', '#e9c46b', '#f3a261', '#e66f51', + # '#F0E6E4', '#CEB5B9', '#AE8FCE', '#98A1B1', '#b36asf', + # '#F8CDCF', '#FAC5A4', '#FBEAA6', '#C2E99E', '#ABEAF9', +] + + +def _sub_spread_COR(Xs, Ys, annotZs): + # Correlation + Rs = [np.corrcoef(X, Y)[1, 0] for X, Y in zip(Xs, Ys)] + keys = ["Correlation = {:.4f} ({:s})".format( + r, Z) for r, Z in zip(Rs, annotZs)] + # Regression + regr = [np.polyfit(X, Y, deg=1) for X, Y in zip(Xs, Ys)] + estimated = [np.polyval(r, X) for r, X in zip(regr, Xs)] + # num_z = len(annotZs) # equal to len(Xs)==len(Ys) + return keys, estimated # , num_z + + +# def multi_scatter_hor(X, Ys, annots, annotZs, figname, +# figsize, identity, base, locate): +def multi_scatter_hor(X, Ys, annots, annotZs, identity): + ''' + # Correlation + Rs = [np.corrcoef(X, Y)[1, 0] for Y in Ys] + # key = ["{:3s} = {:.4f}".format(Z, r) for r, Z in zip()] + key = [ + "Correlation = {:.4f} ({:s})".format( + r, Z) for r, Z in zip(Rs, annotZs)] + # Regression + regr = [np.polyfit(X, Y, deg=1) for Y in Ys] + estimated = [np.polyval(r, X) for r in regr] + ''' + num_z = len(annotZs) # equal to len(Xs)==len(Ys) + key, estimated = _sub_spread_COR([X] * num_z, Ys, annotZs) + + fig = plt.figure(figsize=_setup_config['L-NT']) + if identity: + for i in range(num_z): + plt.scatter(X, Ys[i], c=_nat_sci_cs[i], s=15) + plt.plot(X, estimated[i], '-', lw=1, + label=key[i], color=_nat_sci_cs[i]) + # ZX = sorted(Xs[i]) + ZX = sorted(X) + plt.plot(ZX, ZX, "k--", lw=1, label=r"$f(x)=x$") + else: + for i in range(num_z): + plt.scatter(X, Ys[i], c=_nat_sci_cs[i], label=key[i], + s=10) + plt.plot(X, estimated[i], c=_nat_sci_cs[i], lw=1.5) + axs = plt.gca() + for i in range(num_z): + _sns_line_err_bars(axs, { # "alpha": .2 + "color": _nat_sci_cs[i], "alpha": .3, + "lw": 1}, X, Ys[i]) + # ''' + # if base is not None: + # _setup_locater(fig, base) + # ''' + plt.xlabel(annots[0]) + plt.ylabel(annots[1]) + # ''' + # plt.legend(loc=locate, frameon=PLT_FRAMEBOX, + # labelspacing=.07, prop={'size': 9}) + # if figsize is not None: + # fig = _setup_figsize(fig, figsize) + # _setup_figshow(fig, figname) + # plt.close(fig) + # return + # ''' + return fig + + +# def multi_scatter_vrt(X, Ys, annots, annotZs, figname, +# figsize, identity, base, locate): +def multi_scatter_vrt(X, Ys, annots, annotZs, identity): + ''' + # Correlation + Rs = [np.corrcoef(Y, X)[1, 0] for Y in Ys] + key = ["Correlation = {:.4f} ({:s})".format( + r, Z) for r, Z in zip(Rs, annotZs)] + # Regression + regr = [np.polyfit(Y, X, deg=1) for Y in Ys] + estimated = [np.polyval(r, Y) for r, Y in zip(regr, Ys)] + ''' + num_z = len(annotZs) + key, estimated = _sub_spread_COR(Ys, [X] * num_z, annotZs) + + fig = plt.figure(figsize=_setup_config['L-NT']) + if identity: + for i in range(num_z): + plt.scatter(Ys[i], X, c=_nat_sci_cs[i], s=10) # s=15) + plt.plot(Ys[i], estimated[i], '-', lw=1, + label=key[i], color=_nat_sci_cs[i]) + ZX = sorted(X) + plt.plot(ZX, ZX, "k--", lw=1, label=r"$f(x)=x$") + else: + for i in range(num_z): + plt.scatter(Ys[i], X, c=_nat_sci_cs[i], label=key[i], + s=10) + plt.plot(Ys[i], estimated[i], c=_nat_sci_cs[i], lw=1) + axs = plt.gca() + for i in range(num_z): + _sns_line_err_bars(axs, { + "color": _nat_sci_cs[i], "alpha": .3, + "lw": 1}, Ys[i], X) + # ''' + # if base is not None: + # _setup_locater(fig, base) + # ''' + # axs.set_aspect(1) + plt.xlabel(annots[1]) + plt.ylabel(annots[0]) + # ''' + # plt.legend(loc=locate, frameon=PLT_FRAMEBOX, + # labelspacing=.07, prop={'size': 9}) + # if figsize is not None: + # fig = _setup_figsize(fig, figsize) + # _setup_figshow(fig, figname) + # plt.close(fig) + # return + # ''' + return fig + + +def multiple_scatter_chart(X, Ys, annots=('X', 'Ys'), + annotZs=('Z1', 'Z2', 'Zs'), + figname="", figsize='M-WS', + ind_hv='h', identity=True, + base=None, # diff=0.05, + locate=PLT_LOCATION): + ''' + if ind_hv == 'h': + multi_scatter_hor(X, Ys, annots, annotZs, + figname + "_hor", figsize, + identity, base, locate) + elif ind_hv == 'v': + multi_scatter_vrt(X, Ys, annots, annotZs, + figname + "_vrt", figsize, + identity, base, locate) + ''' + + if ind_hv == 'h': + fig = multi_scatter_hor(X, Ys, annots, annotZs, + identity) + elif ind_hv == 'v': + fig = multi_scatter_vrt(X, Ys, annots, annotZs, + identity) + figname += ("_hor" if ind_hv == 'h' else "_vrt") + if base is not None: + _setup_locater(fig, base) + plt.legend(loc=locate, frameon=PLT_FRAMEBOX, + labelspacing=.07, prop={'size': 9}) + if figsize is not None: + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def _alt_confus_cm(num_z, Mat_k): # ,normalize): + cm = np.zeros((num_z, num_z)) + for i in range(num_z): + for j in range(num_z): + cm[i, j] = np.corrcoef(Mat_k[i], Mat_k[j])[1, 0] + + # if normalize: + # cm = cm / cm.sum(axis=1)[:, np.newaxis] + # # thresh = cm.max() / 1.5 if normalize else cm.max() / 2 + return cm + + +def analogous_confusion(Mat, label_vals, figname, + figsize='L-NT', cmap=None, + normalize=True, rotate=25): + # similar to/as? `visual_confusion_mat` + if cmap is None: + # cmap = plt.get_cmap("Blues") # "Blues_r") + cmap = plt.colormaps.get_cmap("Blues") + num_z = len(Mat) # i.e. len(label_vals) + # cm = np.zeros((num_z, num_z)) + # for i in range(num_z): + # for j in range(num_z): + # cm[i, j] = np.corrcoef(Mat[i], Mat[j])[1, 0] + cm = _alt_confus_cm(num_z, Mat) + + fig = plt.figure(figsize=(8, 6)) + plt.imshow(cm, interpolation='nearest', cmap=cmap) + plt.colorbar() + tick_marks = np.arange(num_z) + plt.xticks(tick_marks, label_vals, rotation=rotate) + plt.yticks(tick_marks, label_vals) + if normalize: + cm = cm / cm.sum(axis=1)[:, np.newaxis] + # thresh = cm.max() / 1.5 if normalize else cm.max() / 2 + for i, j in itertools.product(range(num_z), + range(num_z)): + plt.text(j, i, "{:.3f}".format(cm[i, j]), + horizontalalignment="center", color="k", + size="small") + _style_set_fig(fig, siz=_setup_config[figsize]) + _setup_figshow(fig, figname) + return + + +def _ext_confus_cm(cm, cmap, figsize): + fig, ax = plt.subplots(figsize=(8, 6)) + if figsize == 'extra': + del fig, ax + fig, ax = plt.subplots(figsize=_setup_config[figsize]) + plt.imshow(cm, interpolation='nearest', cmap=cmap) + num_za, num_zb = cm.shape + num_shrink = float(num_za) / float(num_zb) + .01 + plt.colorbar(ax=ax, shrink=num_shrink) # .8) + + for i, j in itertools.product( + range(num_za), range(num_zb)): + plt.text(j, i, "{:.3f}".format( + cm[i, j]), horizontalalignment="center", + color="k", size="small") + return fig, ax + + +def _alt_confus_cm_asym(Mat_A, Mat_B): + num_za = int(Mat_A.shape[0]) + num_zb = int(Mat_B.shape[0]) + cm = np.zeros((num_za, num_zb)) + for i in range(num_za): + for j in range(num_zb): + cm[i, j] = np.corrcoef(Mat_B[j], Mat_A[i])[1, 0] + return cm + + +def analogous_confusion_extended(Mat_A, Mat_B, key_A, key_B, + figname, cm=None, figsize='L-NT', + cmap_name="Blues_r", rotate=5): + num_za, num_zb = len(key_A), len(key_B) + if cm is None: + cm = _alt_confus_cm_asym(Mat_A, Mat_B) + + # cmap = plt.get_cmap(cmap_name) + cmap = plt.colormaps.get_cmap(cmap_name) + fig, _ = _ext_confus_cm(cm, cmap, figsize) + + # _style_set_axis(ax, invt=True) + tick_mk_a = np.arange(num_za) + tick_mk_b = np.arange(num_zb) + plt.xticks(tick_mk_b, key_B, rotation=rotate) + plt.yticks(tick_mk_a, key_A) + _style_set_fig(fig, siz=_setup_config[figsize]) + _setup_figshow(fig, figname) + return + + +# ''' +# def analogous_confusion_extended(Mat_A, Mat_B, key_A, key_B, +# figname, cm=None, figsize='L-NT', +# cmap_name="Blues_r", rotate=5): +# cmap = plt.get_cmap(cmap_name) +# num_za, num_zb = len(key_A), len(key_B) +# if cm is None: +# cm = np.zeros((num_za, num_zb)) +# for i in range(num_za): +# for j in range(num_zb): +# cm[i, j] = np.corrcoef(Mat_B[j], Mat_A[i])[1, 0] +# fig, ax = plt.subplots(figsize=(8, 6)) +# if figsize == 'extra': +# del fig, ax +# fig, ax = plt.subplots(figsize=_setup_config[figsize]) +# plt.imshow(cm, interpolation='nearest', cmap=cmap) +# num_shrink = float(num_za) / float(num_zb) + .01 +# plt.colorbar(ax=ax, shrink=num_shrink) # .8) +# +# # _style_set_axis(ax, invt=True) +# tick_mk_a = np.arange(num_za) +# tick_mk_b = np.arange(num_zb) +# plt.xticks(tick_mk_b, key_B, rotation=rotate) +# plt.yticks(tick_mk_a, key_A) +# for i, j in itertools.product(range(num_za), range(num_zb)): +# plt.text(j, i, "{:.3f}".format( +# cm[i, j]), horizontalalignment="center", +# color="k", size="small") +# _style_set_fig(fig, siz=_setup_config[figsize]) +# _setup_figshow(fig, figname) +# return +# ''' + + +# def _alter_sub_Pearson_cor(x, ys, annotZs): +# # Correlation & Regression +# Rs = [np.corrcoef(x, y)[1, 0] for y in ys] +# key = ["Correlation = {:.4f} ({:s})".format( +# r, Z) for r, Z in zip(Rs, annotZs)] +# regr = [np.polyfit(x, y, deg=1) for y in ys] +# estimated = [np.polyval(r, x) for r in regr] +# return key, estimated + + +def _alternative_multi_scatter_hor(X, Ys, sens, + annots, annotZs, + figname, identity, + locate, box, invt, + # share=False, + # kwargs=dict()): + kwargs): # dict() + sa_len, num_z = len(sens), len(annotZs) + fig, ax = plt.subplots(1, sa_len, # sharey=share, + figsize=_multi_figsize[sa_len]) + for k, (x, ys, sa) in enumerate(zip(X, Ys, sens)): + + # ''' + # # Correlation & Regression + # Rs = [np.corrcoef(x, y)[1, 0] for y in ys] + # key = ["Correlation = {:.4f} ({:s})".format( + # r, Z) for r, Z in zip(Rs, annotZs)] + # regr = [np.polyfit(x, y, deg=1) for y in ys] + # estimated = [np.polyval(r, x) for r in regr] + # ''' + # key, estimated = _alter_sub_Pearson_cor(x, ys, annotZs) + key, estimated = _sub_spread_COR([x] * num_z, ys, annotZs) + + for i in range(num_z): + ax[k].scatter( + x, ys[i], c=_nat_sci_cs[i], label=key[i], s=10) + ax[k].plot(x, estimated[i], c=_nat_sci_cs[i], lw=1) + _sns_line_err_bars(ax[k], { + "color": _nat_sci_cs[i], "alpha": .43, "lw": 1 + }, x, ys[i]) + + if identity: + zx = sorted(x) + ax[k].plot(zx, zx, "k--", lw=1, label=r"$f(x)=x$") + # ax[k].set_xlabel(annots[0]) + ax[k].set_xlabel(annots[0] + sa.upper()) + ax[k].set_ylabel(annots[1]) + ax[k].legend(loc=locate, frameon=box, framealpha=.67, + labelspacing=.07, prop={'size': 9}, **kwargs) + # if PLT_AX_STYLE: + # _style_set_axis(ax[k], invt) + _style_set_axis(ax[k], invt) + fig.tight_layout() + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def _alternative_multi_scatter_vrt(X, Ys, sens, + annots, annotZs, + figname, identity, + locate, box, invt, + # share=False, + # kwargs=dict()): + kwargs): # dict() + sa_len, num_z = len(sens), len(annotZs) + fig, ax = plt.subplots(1, sa_len, # sharex=share, + figsize=_multi_figsize[sa_len]) + for k, (x, ys, sa) in enumerate(zip(X, Ys, sens)): + + # ''' + # # Correlation & Regression + # Rs = [np.corrcoef(y, x)[1, 0] for y in ys] + # key = ["Correlation = {:.4f} ({:s})".format( + # r, Z) for r, Z in zip(Rs, annotZs)] + # regr = [np.polyfit(y, x, deg=1) for y in ys] + # estimated = [np.polyval(r, y) for r, y in zip(regr, ys)] + # ''' + key, estimated = _sub_spread_COR(ys, [x] * num_z, annotZs) + + for i in range(num_z): + ax[k].scatter( + ys[i], x, c=_nat_sci_cs[i], label=key[i], s=10) + ax[k].plot(ys[i], estimated[i], c=_nat_sci_cs[i], lw=1) + _sns_line_err_bars(ax[k], { + "color": _nat_sci_cs[i], "alpha": .43, "lw": 1 + }, ys[i], x) + + if identity: + zx = sorted(x) + ax[k].plot(zx, zx, "k--", lw=1, label=r"$f(x)=x$") + ax[k].set_xlabel(annots[1]) + ax[k].set_ylabel(annots[0] + sa.upper()) + ax[k].legend(loc=locate, frameon=box, framealpha=.67, + labelspacing=.07, prop={'size': 9}, + # handletextpad=.04, + # borderpad=.27) # columnspacing=.07) + **kwargs) + # if PLT_AX_STYLE: + # _style_set_axis(ax[k], invt) + _style_set_axis(ax[k], invt) + fig.tight_layout() + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def multiple_scatter_alternative(X, Ys, sens, + annots, annotZs, + figname, ind_hv='v', + identity=False, + invt=False, + # share=False, + box=PLT_FRAMEBOX, + locate=PLT_LOCATION): + # annotX = " ".join([annots[0], sa.upper()]) + annotXs = (annots[0] + " ", annots[1]) + kwargs = {"handletextpad": .04, "borderpad": .27} + if ind_hv == 'h': + _alternative_multi_scatter_hor( + X, Ys, sens, annotXs, annotZs, figname + "_hor", + identity, locate, box, invt, kwargs) + elif ind_hv == 'v': + _alternative_multi_scatter_vrt( + X, Ys, sens, annotXs, annotZs, figname + "_vrt", + identity, locate, box, invt, kwargs) + return + + +def analogous_confusion_alternative(Mat, sens, + label_vals, figname, + cmap=None, rotate=35, + normalize=False): + _figsize = {1: (3.05, 2.52), + 2: (9.25, 3.95), + 3: (15.25, 4.18), + 4: (18.47, 3.76)} + sa_len, num_z = len(sens), len(Mat[0]) + tick_marks = np.arange(num_z) + if cmap is None: + # cmap = plt.get_cmap("Blues") + cmap = plt.colormaps.get_cmap("Blues") + fig, ax = plt.subplots(1, sa_len, + figsize=_figsize[sa_len]) + # ax = ax.flatten() + # for k, (mt, sa) in enumerate(zip(Mat, sens)): + for k, (_, sa) in enumerate(zip(Mat, sens)): # mt, + # cm = np.zeros((num_z, num_z)) + # for i in range(num_z): + # for j in range(num_z): + # cm[i, j] = np.corrcoef(Mat[k][i], Mat[k][j])[1, 0] + cm = _alt_confus_cm(num_z, Mat[k]) # ,normalize) + + img = ax[k].imshow(cm, interpolation='nearest', cmap=cmap) + ax[k].set_xticks(tick_marks) + ax[k].set_yticks(tick_marks) + ax[k].set_xticklabels(label_vals) + ax[k].set_yticklabels(label_vals) + plt.setp(ax[k].get_xticklabels(), rotation=rotate, + ha="right", rotation_mode="anchor") + # Rotate the tick labels and set their alignment. + # ax[k].set_xlabel(sa.upper()) # Sensitive attributes + + ax[k].set_xlabel("Attribute " + sa.upper() if ( + sa.lower() != "joint") else sa.upper() + " Attribute") + # ''' + # if sa.lower() != "joint": + # ax[k].set_xlabel("Attribute " + sa.upper()) + # else: + # ax[k].set_xlabel(sa.upper() + " Attribute") # sa+ + # ''' + if normalize: + cm = cm / cm.sum(axis=1)[:, np.newaxis] + # thresh = cm.max() / 1.5 if normalize else cm.max() / 2 + for i, j in itertools.product(range(num_z), + range(num_z)): + ax[k].text(j, i, "{:.3f}".format(cm[i, j]), + horizontalalignment='center', + color='k', size='small') + fig.colorbar(img, ax=[ax[i] for i in range(sa_len)], + fraction=0.03, pad=0.05) + # fig.tight_layout() + fig.savefig("{}{}".format(figname, DTY_PLT), + dpi=300, bbox_inches='tight') + # plt.colorbar() + # _setup_figshow(fig, figname) + return + + +# ---------------------------------- +# subchart + + +def single_hist_chart(Y_avg, Y_std, picked_keys, annotX='', + annotY='Time Cost', figname='', + figsize='S-NT', rotate=80): # L-NT,L-WS + picked_len = len(picked_keys) # pick_len_pru/pick_leng_fair + ind = np.arange(picked_len) * 2 # 3 + wid = (2 - .4) / 1 # picked_len + fig, ax = plt.subplots(figsize=_setup_config['L-NT']) + kwargs = _barh_kwargs.copy() + kwargs['error_kw']['elinewidth'] = .6 + ax.bar(ind, Y_avg, width=wid, yerr=Y_std, + color=_barh_fcolor[-4], **kwargs) # 4,5 + ax.set_ylabel(annotY) + ax.set_xlabel(annotX) + # ax.set_xticks(ind) + ax.xaxis.set_major_locator(mpl.ticker.FixedLocator(ind)) + ax.set_xticklabels(picked_keys, rotation=rotate, fontsize=8) + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + fig.canvas.draw() + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# ===================================== +# SG + + +# ------------------------------------- +# 带误差的折线图 + + +def _line_std_drawer(data, ddof=1): + avg = np.mean(data, axis=1) + std = np.std(data, axis=1, ddof=ddof) # default:0 + r1 = list(map(lambda x: x[0] - x[1], zip(avg, std))) # 上方差 + r2 = list(map(lambda x: x[0] + x[1], zip(avg, std))) # 下方差 + return avg, r1, r2 + + +def _line_std_colors(annot, index, ls="-", alpha=.3, + visible=True, palette=None): + setting_ls = {"label": annot, "linestyle": ls} + setting_sd = {"alpha": alpha, "visible": visible} + if palette is not None: + color = palette(index) + setting_ls["color"] = color + setting_sd["color"] = color + return setting_ls, setting_sd + + +def lines_with_std_3d(X, Ys, figname, figsize='L-WS', + annotX='X', annotY=('Y',), + annotZ="Metric", visible=True, + baseline=None, annotBL="Ensem", ddof=1): + # aka. def line_chart_with_std() + # NB. X.shape = (?,) + # Ys.shape = (nb_alg, ?, nb_iter=5) + # baseline.shape = (nb_iter=5,) + # palette = plt.get_cmap("Set1") + palette = plt.colormaps.get_cmap("Set1") + font = {"family": plt.rcParams['font.family']} # "Times New Roman"} + # iters = X.copy() + fig, axs = plt.subplots(figsize=_setup_config['L-NT']) + + if baseline is not None: + leng = len(X) + data_bl = np.repeat(baseline, leng).reshape(-1, leng).T + avg, r1, r2 = _line_std_drawer(data_bl, ddof=ddof) + config_ls, config_sd = _line_std_colors( + "Ensem", 0, "--", .1, visible, palette=palette) + axs.plot(X, avg, **config_ls) + axs.fill_between(X, r1, r2, **config_sd) + + ax_y = np.mean(baseline) + ax_x = np.percentile(X, 67) + plt.text(ax_x, ax_y, annotBL) + + print(annotX, annotZ, "|", annotY) + for i, annot in enumerate(annotY): + print("\t", i, annot) + avg, r1, r2 = _line_std_drawer(Ys[i], ddof=ddof) + config_ls, config_sd = _line_std_colors( + annot, i + 1, visible=visible, palette=palette) + axs.plot(X, avg, **config_ls) + axs.fill_between(X, r1, r2, **config_sd) + + axs.set_xlim([X[0], X[-1]]) # plt.xlim + axs.set_xlabel(annotX) + axs.set_ylabel(annotZ) + axs.legend(loc=PLT_LOCATION, frameon=PLT_FRAMEBOX, + prop=font, labelspacing=.4) + + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def lines_with_std_2d(X, Ys, figname, figsize='L-WS', + annotX='X', annotY=('Y',), + annotZ="Size of (Sub-)Ensemble", + visible=True): + # NB. X.shape = (?,) + # Ys.shape = (nb_alg, ?) + # palette = plt.get_cmap("Set1") + palette = plt.colormaps.get_cmap("Set1") + font = {"family": plt.rcParams['font.family']} # "Times New Roman"} + fig, axs = plt.subplots(figsize=_setup_config['L-NT']) + + for i, annot in enumerate(annotY): + # config_ls, config_sd = _line_std_colors( + config_ls, _ = _line_std_colors( + annot, i + 1, visible=visible, palette=palette) + axs.plot(X, Ys[i], **config_ls) + + axs.set_xlim([X[0], X[-1]]) # plt.xlim + axs.set_xlabel(annotX) + axs.set_ylabel(annotZ) + axs.legend(loc="upper right", frameon=PLT_FRAMEBOX, + prop=font, labelspacing=.4) + + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# ------------------------------------- +# 频数直方图 + + +def _discrete_illustrate(IndexSlices, SubIndices): + dis_1 = Wasserstein_dis(SubIndices, IndexSlices) + dis_2 = JS_div(SubIndices, IndexSlices) + dist = "EMD= {:.4f}\nJS = {:.4f}".format(dis_1, dis_2) + + px, py, _ = _discrete_joint_cnts( # ,vXY + IndexSlices, SubIndices, density=True) + + ans_1 = KL_divergence(py, px) + # ans_2 = JS_divergence(py, px) + # ans_3 = f_divergence(py, px) + # ans_4 = Hellinger_dist_v1(py, px) + ans_5 = Hellinger_dist_v2(py, px) + ans_6 = Bhattacharyya_dist(py, px) + dist = ( + "{}\nKL = {:.4f}\nHellinger dist= {:.4f}" + "\nBhattacharyya = {:.4f}".format(dist, ans_1, ans_5, ans_6)) + return dist, [dis_1, dis_2, ans_1, ans_5, ans_6] + + +def _discrete_not_split(freq_x, freq_y, comp_y, dist, annots, + figname, figsize): + comp_x = freq_x + fc_p, fc_q = 'r', 'b' + annotX, annotY = annots + font = {"family": plt.rcParams['font.family']} + # before having _discrete_not_split + + fig, axes = plt.subplots(figsize=_setup_config[figsize]) + # axes.bar(freq_x, freq_y, fc=fc_p) + # axes.bar(comp_x, comp_y, fc=fc_q, label=dist) + wid = .4 # .5, \pm.25 + axes.bar( + [i - .2 for i in freq_x], freq_y, wid, fc=fc_p) + axes.bar([i + .2 for i in comp_x], comp_y, + wid, fc=fc_q, label=dist) + + # axes.bar(comp_x, base_y, fc=fc_q, label=dist) + axes.set_xlabel(annotX) + axes.set_ylabel(annotY) + axes.legend(loc="upper right", frameon=PLT_FRAMEBOX, + prop=font, labelspacing=.4) + _setup_figshow(fig, figname + "_merge") + plt.close(fig) + + fig, axes = plt.subplots(figsize=_setup_config[figsize]) + axes.barh(freq_x, freq_y, fc=fc_p) + tmp_y = [-i for i in comp_y] + axes.barh(comp_x, tmp_y, fc=fc_q, label=dist) + axes.set_xlabel(annotY) + axes.set_ylabel(annotX) + axes.legend(loc="upper left", frameon=PLT_FRAMEBOX, + prop=font, labelspacing=.4) + _setup_figshow(fig, figname + "_transverse") # 横向 + plt.close(fig) + return + + +def discrete_bar_comparison(IndexSlices, SubIndices, + figname="", figsize='L-WS', + density=False, split=True, + annotX="Index of Features", + # annotY="Size of (Sub-)Ensemble", + annotY="Frequency", nb_iter=5, k=-1): + # e.g., item_pru = [True, False, ..] + # SubIndices = IndexSlices[pru_item] + # IndexSlices.shape (100,368/*) + # SubIndices .shape (nb_pru, 368/*) + + TmpIndices = np.concatenate(SubIndices) + nb_iter = len(TmpIndices) + IdxOrigin = IndexSlices.reshape(-1) + IdxPruned = TmpIndices.reshape(-1) + + freq_y, comp_y, freq_x = _discrete_joint_cnts( + IdxOrigin, IdxPruned, density) + comp_x = freq_x + if (not density) and (nb_iter > 0): + temporary = [_discrete_joint_cnts( + IdxOrigin, j.reshape(-1), density, + v=freq_x) for j in SubIndices] + _, temporary, _ = zip(*temporary) + comp_y = np.mean(temporary, axis=0) + if density: + annotY = "Probability" + fc_p, fc_q = 'r', 'b' + + font = {"family": plt.rcParams['font.family']} # "Times New Roman"} + dist, dist_arr = _discrete_illustrate(IdxOrigin, IdxPruned) + fig, axes = plt.subplots(1, 2, sharey=True, + # sharex=True, + figsize=(7.5, 4)) + axes[0].bar(freq_x, freq_y, fc=fc_p) + axes[1].bar(comp_x, comp_y, fc=fc_q, label=dist) + axes[0].set_ylabel(annotY) + axes[0].set_xlabel(annotX) + axes[1].set_xlabel(annotX + " ({})".format(k)) + # axes[1].set_xlabel(annotX + " (k={})".format(k)) + axes[1].legend(loc="upper right", frameon=PLT_FRAMEBOX, + prop=font, labelspacing=.4) + _setup_figshow(fig, figname + "_split") + plt.close(fig) + + if not split: + _discrete_not_split(freq_x, freq_y, comp_y, dist, + (annotX, annotY), figname, figsize) + + return dist_arr + + +# ------------------------------------- +# + +# ------------------------------------- +# diff --git a/pyfair/granite/draw_graph.py b/pyfair/granite/draw_graph.py new file mode 100644 index 0000000..6840af3 --- /dev/null +++ b/pyfair/granite/draw_graph.py @@ -0,0 +1,1278 @@ +# coding: utf-8 +# +# TARGET: +# Oracle bounds regarding fairness for weighted voting +# + + +import matplotlib as mpl +import matplotlib.pyplot as plt +import seaborn as sns +import itertools + +import numpy as np +import pandas as pd +from scipy import stats +from sklearn.metrics import confusion_matrix + +from pyfair.facil.utils_saver import elegant_print +from pyfair.marble.draw_hypos import ( + Friedman_test, Nememyi_posthoc_test) +from pyfair.facil.draw_prelim import ( + PLT_LOCATION, PLT_FRAMEBOX, _style_set_fig, _setup_config, + _setup_figsize, _setup_figshow, _setup_locater, + _set_quantile, _barh_kwargs, _barh_fcolor, _setup_rgb_color) + + +# ===================================== +# Matlab plot + + +# ---------------------------------- +# 散点图和拟合曲线，相关系数 + + +def scatter_and_corr(X, Y, figname, figsize='M-WS', + annots=('X', 'Y')): + # x-axis: objective /propose, Risk_esti/div_x + # y-axis: groundtruth /compare, Risk_real + + # Correlation + R = np.corrcoef(X, Y)[1, 0] + key = "Correlation = %.4f" % R + fig = plt.figure(figsize=_setup_config['L-NT']) + plt.scatter(X, Y, label=key) # fp1 = + plt.xlabel(annots[0]) + plt.ylabel(annots[1]) + + # Regression + regr = np.polyfit(X, Y, deg=1) + # slope, intercept = regr + # return R, slope, intercept + estimated = np.polyval(regr, X) + plt.plot(X, estimated, "k-", lw=1.5) # fp2 = + + plt.legend(loc=PLT_LOCATION, frameon=PLT_FRAMEBOX) + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# seaborn/regression.py +# def lineplot(self, ax, kws): +# seaborn/algorithms.py +# seaborn/utils.py + +def _sns_algo_bootstrap(*args, **kwargs): + n_boots = 1000 + # seed = None # units = seed = None + # # args = (X, Y) + # # Default keyword arguments + func = kwargs.get("func", np.mean) + n, boot_dist = len(args[0]), [] + + for _ in range(int(n_boots)): # for i in + resampler = np.random.randint(0, n, n, dtype=np.intp) + sample = [a.take(resampler, axis=0) for a in args] + boot_dist.append(func(*sample)) + return np.array(boot_dist) + + +def _sns_sub_fit_poly(X, Y, grid, order=1): + def reg_func(_x, _y): + return np.polyval(np.polyfit(_x, _y, order), grid) + + yhat = reg_func(X, Y) + yhat_boots = _sns_algo_bootstrap(X, Y, func=reg_func) + return yhat, yhat_boots + + +def _sns_sub_fit_fast(X, Y, grid): + def reg_func(_x, _y): + return np.linalg.pinv(_x).dot(_y) + + X, Y = np.c_[np.ones(len(X)), X], Y + grid = np.c_[np.ones(len(grid)), grid] # (100,2) + yhat = grid.dot(reg_func(X, Y)) + + beta_boots = _sns_algo_bootstrap(X, Y, func=reg_func).T + yhat_boots = grid.dot(beta_boots).T + return yhat, yhat_boots + + +def _sns_line_fit_regs(ax, X, Y, order=1): + x_min, x_max = ax.get_xlim() + grid = np.linspace(x_min, x_max, 100) + + if order > 1: + yhat, yhat_boots = _sns_sub_fit_poly(X, Y, grid, order) + else: + yhat, yhat_boots = _sns_sub_fit_fast(X, Y, grid) + + def _utils_ci(a, which=95, axis=None): + # Return a percentile range from an array of values. + p = 50 - which / 2, 50 + which / 2 + return np.nanpercentile(a, p, axis) + + ci = 95 + err_bands = _utils_ci(yhat_boots, ci, axis=0) + return grid, yhat, err_bands + + +def _sns_line_err_bars(ax, kws, X, Y, order=1): + # yhat, yhat_boots = _sns_line_fit_regs(grid, X, Y, order) + grid, yhat, err_bands = _sns_line_fit_regs(ax, X, Y, order) + edges = grid[0], grid[-1] + + # Get set default aesthetics + fill_color = kws["color"] + lw = kws.pop("lw", mpl.rcParams["lines.linewidth"] * 1.5) + kws.setdefault("linewidth", lw) + + # Draw the regression line and confidence interval + line, = ax.plot(grid, yhat, **kws) + line.sticky_edges.x[:] = edges # Prevent mpl from adding margin + if err_bands is not None: + ax.fill_between(grid, *err_bands, + facecolor=fill_color, alpha=.15) + return ax + + +def scatter_id_chart(X, Y, figname, figsize='M-WS', + annots=('X', 'Y'), identity=False, + base=None, diff=0.05, + locate=PLT_LOCATION): + # Correlation + R = np.corrcoef(X, Y)[1, 0] + key = "Correlation = %.4f" % R + # Regression + regr = np.polyfit(X, Y, deg=1) + estimated = np.polyval(regr, X) + + fig = plt.figure(figsize=_setup_config['L-NT']) + if identity: + plt.scatter(X, Y) + Z = sorted(X) + plt.plot(Z, Z, "k--", lw=1, label='$f(x)=x$') + plt.plot(X, estimated, "-", lw=1, label=key, + # color="dodgerblue" + # color="royalblue" + color="navy") # cm + # Note that 部分可能是实线，因为X没排序/不是增序排列 + # plt.plot(X, estimated, "b--", lw=1, label=key) + else: + plt.scatter(X, Y, label=key) + plt.plot(X, estimated, "k-", lw=1.5) + + kws = {"color": "navy", "lw": 1} + _sns_line_err_bars(fig.gca(), kws, X, Y) + + ax = fig.gca() + x_min, x_max = ax.get_xlim() + _, y_max = ax.get_ylim() # y_min, + if y_max - x_max >= abs(diff): + # ax.set_xlim([x_min, x_max + 0.05]) + if diff > 0: + ax.set_xlim(x_min, x_max + abs(diff)) + elif diff < 0: + ax.set_ylim(0, y_max - 2 * abs(diff)) + + if base is not None: + _setup_locater(fig, base) + fig.gca().set_aspect(1) # plt.axis("equal") + # 但是这个没有高赞的ax.set_aspect(1)通用，因为 + # plt.axis("equal")直接让xlim等设置失效了 + + plt.xlabel(annots[0]) + plt.ylabel(annots[1]) + plt.legend(loc=locate, frameon=PLT_FRAMEBOX, + labelspacing=.07, prop={'size': 9}) # 10 + if figsize is not None: + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +_scat_mcolor = [ + 'steelblue', 'royalblue', 'slateblue', + 'lightslategray', 'slategray', +] + + +def scatter_parl_chart(data, picked_keys, annot, + figname, figsize='M-WS'): + num_expt, num_core = data.shape + ind = np.arange(num_expt) + + # core = picked_keys[0] + # core = core.replace('$', '') + # core = int(core[-1]) + core = int(figname[-1]) + + fig = plt.figure(figsize=_setup_config['L-NT']) + for k in range(num_core): + plt.scatter(ind, data[:, k], s=9, + # c=_scat_mcolor[-k], + c=_scat_mcolor[k + core - 1], + label=picked_keys[k]) + + plt.xlabel('Experiment') + plt.ylabel(annot) + plt.legend(loc=PLT_LOCATION, # boxoff= + labelspacing=.05, frameon=False) + + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def sns_scatter_corr(X, Y, figname, figsize='M-WS', + annots=('X', 'Y'), + identity=False, base=None): + df = pd.DataFrame({'X': X, 'Y': Y}) + # df.corr() # 默认是Pearson相关性分析 + + sns.lmplot(y='Y', x='X', data=df, palette="tab20") + # sns.lmplot(y='Y', x='X', data=df, legend=False) + fig = plt.gcf() + if figsize is not None: + fig = _setup_figsize(fig, figsize) + ax = fig.gca() # ax = plt.gca() + + loc_x = ax.get_xlim() + loc_y = ax.get_ylim() + # loc_x = loc_x[1] - loc_x[0] + # loc_y = loc_y[1] - loc_y[0] + loc_x = _set_quantile(2.35, *loc_x) + loc_y = _set_quantile(-4.5, *loc_y) + + if identity: + loc_y = _set_quantile(-3.4, *ax.get_ylim()) + loc_x = _set_quantile(2.27, *ax.get_xlim()) + # loc_x: 2.19, 2.21, + + # ''' + # ax.text(loc_x, loc_y, + # "Pearson: {:.2f}".format(df.corr().iloc[1, 0]), + # transform=ax.transAxes) # 添加相关性 + # ''' + key = df.corr().iloc[1, 0] + if not identity: + plt.text(loc_x, loc_y, + # "Pearson: {:.4f}".format(df.corr().iloc[1, 0]) + "Correlation = {:.4f}".format(key)) + # fig = plt.gcf() + + if identity: + Z = sorted(X) + plt.plot(Z, Z, "k--", lw=1.2, label='$f(x)=x$') + # plt.plot(X, X, "k--", lw=1, label='$f(x)=x$') + # plt.legend(loc="lower right", frameon=False) + plt.legend(loc=PLT_LOCATION, frameon=False, + labels=[ + "Correlation = {:.4f}".format(key), + "$f(x)=x$"], + labelspacing=.07) + + if base is not None: + _setup_locater(fig, base) + fig.gca().set_aspect(1) + plt.xlabel(annots[0]) + plt.ylabel(annots[1]) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def sns_corr_chart(X, Y, sens, figname, figsize='M-WS'): + attr = "Sensitive" # "sensitive_attributes" + df = pd.DataFrame({'X': X, 'Y': Y, attr: sens}) + priv, keys = df[attr].unique(), {} + for k, v in enumerate(priv): + tmp = df[df[attr] == v].drop(columns=attr) + tmp = tmp.corr().iloc[1, 0] + # tmp = df[df[attr] == v].corr().iloc[1, 0] + tmp = "{:6s} correlation = {:.4f}".format(v, tmp) + keys[v] = tmp + + sns.lmplot(x='X', y='Y', data=df, ci=95, + hue=attr, palette="husl", + # legend_out=True, # legend=keys + # palette=dict(Yes="g", No="m") + legend=False) # markers=["o", "x"], ci=0.95, + fig = plt.gcf() + plt.legend(title=attr, loc=PLT_LOCATION, labels=list(priv)) + + ax = fig.gca() + loc_x = ax.get_xlim() + loc_y = ax.get_ylim() + loc_x = _set_quantile(1.40, *loc_x) + loc_y = _set_quantile(-5.7, *loc_y) + for k, v in enumerate(priv): + plt.text(loc_x, loc_y - k * 13, "{:27s}".format(keys[v])) + + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# ---------------------------------- +# Friedman 统计检验图 + + +def _Friedman_plt(fig, k, ep1, ep2, anotCD, CD, offset): + axs = plt.gca() + # axs.set_yticks(np.arange(k), picked_keys) + for t in range(k): + plt.plot([ep1[t], ep2[t]], [t, t], '-b', lw=1.5) + plt.ylim(-0.7, k - 0.3) + + xt = axs.get_xticks() + axs.set_xlim(np.floor(xt[0]), np.ceil(xt[-1])) + if anotCD: + # plt.text(xt[-2], k - .7, r'CD = {:.4f}'.format(CD)) + plt.text(xt[-3] + .2, k - 1.3, r'CD = {:.4f}'.format(CD)) + axs.set_xlim(np.floor(xt[0]), np.ceil(xt[-1]) + 1.2) + # plt.plot([ep2[k - 2], ep2[k - 2]], [-1.2, k + 1], 'r--', lw=1) + # ''' + # plt.plot([ep1[k - 1], ep1[k - 1]], [-1.2, k + 1], 'r--', lw=1) + # plt.plot([ep2[k - 1], ep2[k - 1]], [-1.2, k + 1], 'r--', lw=1) + # ''' + if offset in [-1, -2]: + plt.plot([ep1[k + offset], ] * 2, [-1.2, k + 1], + 'r--', lw=1) + plt.plot([ep2[k + offset], ] * 2, [-1.2, k + 1], + 'r--', lw=1) + elif offset in [-3]: + plt.plot([ep2[k - 1], ] * 2, [-1.2, k + 1], 'r--', lw=1) + plt.plot([ep2[k - 2], ] * 2, [-1.2, k + 1], 'r--', lw=1) + elif offset in [-4]: + plt.plot([ep1[k - 1], ] * 2, [-1.2, k + 1], 'r--', lw=1) + plt.plot([ep1[k - 2], ] * 2, [-1.2, k + 1], 'r--', lw=1) + # axs.invert_yaxis() + return fig + + +def Friedman_chart(index_bar, picked_keys, + figname, figsize='S-NT', + alpha=.05, logger=None, + anotCD=False, offset=-1): + avg_order = np.mean(index_bar, axis=0) + # # N: number of the used datasets + # # k: number of the compared algorithms/methods + N, k = np.shape(index_bar) # or `avg_accuracy` + threshold = stats.f.pdf( + 1 - alpha, k - 1, (k - 1) * (N - 1)) + + # mark, tau_F, tau_chi2 = Friedman_test(index_bar, alpha) + _, tau_F, tau_chi2 = Friedman_test(index_bar, alpha) + CD, q_alpha = Nememyi_posthoc_test(index_bar, alpha) + elegant_print(["\n%s\n" % figname, + "$tau_{chi^2}$ " + str(tau_chi2), + "$tau_F$ " + str(tau_F), + "Threshold " + str(threshold) + ], logger) + if tau_F > threshold: + elegant_print([ + "拒绝 '所有算法性能相同' 这个假设", + "Refused hypothesis about `all methods perform the same`" + ], logger) + elegant_print(["$q_alpha$ " + str(q_alpha), + "CD " + str(CD)], logger) + ep1 = avg_order - CD / 2 # left # eq_1 + ep2 = avg_order + CD / 2 # right # eq_2 + + fig = plt.figure(figsize=_setup_config['L-NT']) + plt.plot(avg_order, np.arange(k), '.', markersize=11) + plt.yticks(np.arange(k), picked_keys) + fig = _Friedman_plt(fig, k, ep1, ep2, anotCD, CD, offset) + fig = _setup_figsize(fig, figsize, invt=True) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# ---------------------------------- +# 统计检验图 aggregated rank + +cnames = { + # 1-10 + 'black': '#000000', + 'dimgray': '#696969', + 'gray': '#808080', + 'darkgray': '#A9A9A9', + 'silver': '#C0C0C0', + 'lightgray': '#D3D3D3', + 'gainsboro': '#DCDCDC', + 'whitesmoke': '#F5F5F5', + 'white': '#FFFFFF', + 'snow': '#FFFAFA', + # 11-20 + 'rosybrown': '#BC8F8F', + 'lightcoral': '#F08080', + 'indianred': '#CD5C5C', + 'brown': '#A52A2A', + 'firebrick': '#B22222', + 'maroon': '#800000', + 'darkred': '#8B0000', + 'red': '#FF0000', + 'mistyrose': '#FFE4E1', + 'salmon': '#FA8072', + # 21-30 + 'tomato': '#FF6347', + 'darksalmon': '#E9967A', + 'coral': '#FF7F50', + 'orangered': '#FF4500', + 'lightsalmon': '#FFA07A', + 'sienna': '#A0522D', + 'seashell': '#FFF5EE', + 'chocolate': '#D2691E', + 'saddlebrown': '#8B4513', + 'sandybrown': '#FAA460', + # 31-40 + 'peachpuff': '#FFDAB9', + 'peru': '#CD853F', + 'linen': '#FAF0E6', + + 'bisque': '#FFE4C4', + 'darkorange': '#FF8C00', + 'burlywood': '#DEB887', + 'antiquewhite': '#FAEBD7', + 'tan': '#D2B48C', + 'navajowhite': '#FFDEAD', + 'blanchedalmond': '#FFEBCD', + # 41-50 + 'papayawhip': '#FFEFD5', + 'moccasin': '#FFE4B5', + 'orange': '#FFA500', + 'wheat': '#F5DEB3', + 'oldlace': '#FDF5E6', + 'floralwhite': '#FFFAF0', + 'darkgoldenrod': '#B8860B', + 'goldenrod': '#DAA520', + 'cornsilk': '#FFF8DC', + 'gold': '#FFD700', + # 51-60 + 'lemonchiffon': '#FFFACD', + 'khaki': '#F0E68C', + 'palegoldenrod': '#EEE8AA', + 'darkkhaki': '#BDB76B', + 'ivory': '#FFFFF0', + 'beige': '#F5F5DC', + 'lightyellow': '#FFFFE0', + 'lightgoldenrodyellow': '#FAFAD2', + 'olive': '#808000', + 'yellow': '#FFFF00', + # 61-70 + 'olivedrab': '#6B8E23', + 'yellowgreen': '#9ACD32', + 'darkolivegreen': '#556B2F', + 'greenyellow': '#ADFF2F', + 'chartreuse': '#7FFF00', + 'lawngreen': '#7CFC00', + 'honeydew': '#F0FFF0', + 'darkseagreen': '#8FBC8F', + 'palegreen': '#98FB98', + + 'lightgreen': '#90EE90', + # 71-80 + 'forestgreen': '#228B22', + 'limegreen': '#32CD32', + 'darkgreen': '#006400', + 'green': '#008000', + 'lime': '#00FF00', + 'seagreen': '#2E8B57', + 'mediumseagreen': '#3CB371', + 'springgreen': '#00FF7F', + 'mintcream': '#F5FFFA', + 'mediumspringgreen': '#00FA9A', + # 81-90 + 'mediumaquamarine': '#66CDAA', + 'aquamarine': '#7FFFD4', + 'turquoise': '#40E0D0', + 'lightseagreen': '#20B2AA', + 'mediumturquoise': '#48D1CC', + 'azure': '#F0FFFF', + 'lightcyan': '#E0FFFF', + 'paleturquoise': '#AFEEEE', + 'darkslategray': '#2F4F4F', + 'teal': '#008080', + # 90-100 + 'darkcyan': '#008B8B', + 'cyan': '#00FFFF', + 'aqua': '#00FFFF', + 'darkturquoise': '#00CED1', + 'cadetblue': '#5F9EA0', + 'powderblue': '#B0E0E6', + 'lightblue': '#ADD8E6', + 'deepskyblue': '#00BFFF', + 'skyblue': '#87CEEB', + 'lightskyblue': '#87CEFA', + # 101-110 + 'steelblue': '#4682B4', + 'aliceblue': '#F0F8FF', + 'dodgerblue': '#1E90FF', + 'lightslategray': '#778899', + 'slategray': '#708090', + + 'lightsteelblue': '#B0C4DE', + 'cornflowerblue': '#6495ED', + 'royalblue': '#4169E1', + 'ghostwhite': '#F8F8FF', + 'lavender': '#E6E6FA', + # 111-120 + 'midnightblue': '#191970', + 'navy': '#000080', + 'darkblue': '#00008B', + 'mediumblue': '#0000CD', + 'blue': '#0000FF', + 'slateblue': '#6A5ACD', + 'darkslateblue': '#483D8B', + 'mediumslateblue': '#7B68EE', + 'mediumpurple': '#9370DB', + 'blueviolet': '#8A2BE2', + # 121-130 + 'indigo': '#4B0082', + 'darkorchid': '#9932CC', + 'darkviolet': '#9400D3', + 'mediumorchid': '#BA55D3', + 'thistle': '#D8BFD8', + 'plum': '#DDA0DD', + 'violet': '#EE82EE', + 'purple': '#800080', + 'darkmagenta': '#8B008B', + 'fuchsia': '#FF00FF', + # 131-140 + 'magenta': '#FF00FF', + 'orchid': '#DA70D6', + 'mediumvioletred': '#C71585', + 'deeppink': '#FF1493', + 'hotpink': '#FF69B4', + 'lavenderblush': '#FFF0F5', + 'palevioletred': '#DB7093', + 'crimson': '#DC143C', + 'pink': '#FFC0CB', + 'lightpink': '#FFB6C1', +} + +cname_keys = list(cnames.keys()) + + +cmap_names = [ + 'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', + 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', + 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', + 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', + 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', + 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', + 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', + 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', + 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', + 'RdBu_r', 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', + 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', + 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', + 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', 'Wistia', + 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', + 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', + 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', + 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', + 'bwr_r', 'cividis', 'cividis_r', 'cool', 'cool_r', + 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'crest', + 'crest_r', 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', + 'flare', 'flare_r', 'gist_earth', 'gist_earth_r', 'gist_gray', + 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r', + 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', + 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', + 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', + 'hsv_r', 'icefire', 'icefire_r', 'inferno', 'inferno_r', + 'jet', 'jet_r', 'magma', 'magma_r', 'mako', + 'mako_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', + 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', + 'prism_r', 'rainbow', 'rainbow_r', 'rocket', 'rocket_r', + 'seismic', 'seismic_r', 'spring', 'spring_r', 'summer', + 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', + 'tab20b', 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', + 'terrain_r', 'turbo', 'turbo_r', 'twilight', 'twilight_r', + 'twilight_shifted', 'twilight_shifted_r', 'viridis', 'viridis_r', 'vlag', + 'vlag_r', 'winter', 'winter_r' +] + + +def stat_chart_stack(index_bar, picked_keys, + figname, figsize='S-NT', + annots="aggr.rank.accuracy", + cmap_name='GnBu_r', + rotation=25): + pick_idxbar = np.cumsum(index_bar, axis=0) + pick_leng_pru = len(picked_keys) # aka. pick_name_pru + pick_leng_set = np.shape(index_bar)[0] # avg_accuracy + + cs, cl = _setup_rgb_color( + pick_leng_set, cmap_name) # np.shape(index_bar)[0], + fig, _ = plt.subplots(figsize=_setup_config['L-NT']) + ind = np.arange(1, pick_leng_pru + 1) # _:axs + plt.bar(ind, index_bar[0], color=cs[0]) + + for i in range(1, pick_leng_set): + plt.bar(ind, index_bar[i], bottom=pick_idxbar[i - 1], + color=cs[i % cl]) # cmap='viridis') + + plt.ylabel("{}".format(annots)) + # plt.xticks(ind, picked_keys, rotation=25) + plt.xticks(ind, picked_keys, rotation=rotation) + plt.xlim(0.25, pick_leng_pru + 1 - 0.25) + fig = _setup_figsize(fig, figsize, invt=False) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def stat_chart_group(avg_accuracy, pickup_set, + picked_keys, + figname, figsize='S-NT', + cmap_name='GnBu_r'): + if not isinstance(avg_accuracy, np.ndarray): + avg_accuracy = np.array(avg_accuracy) # robustness + pickup_set = np.array(pickup_set) - 1 + # Notice that `pickup_set` starts with 1, instead of 0. + + pick_leng_pru = len(picked_keys) + pick_leng_set = np.shape(avg_accuracy)[0] + cs, cl = _setup_rgb_color(pick_leng_set, cmap_name) + + ind = np.arange(1, pick_leng_pru + 1) + fig, axs = plt.subplots(figsize=_setup_config['L-NT']) + for id_set in pickup_set: + plt.clf() # reset + val_mean = avg_accuracy[id_set, :] + plt.bar(ind, val_mean, color=cs[id_set % cl]) + + plt.xticks(ind, picked_keys, rotation=45) + yt = axs.get_yticks() + plt.xlim(0.25, pick_leng_pru + 1 - 0.25) + plt.ylim(yt[0], 100) + + fig = _setup_figsize(fig, figsize, invt=False) + _setup_figshow(fig, figname + "_ds" + str(id_set + 1)) + plt.close(fig) + + +# ---------------------------------- +# 多分类问题中的混淆矩阵可视化实现 + + +def visual_confusion_mat(y, hx, label_vals, + figname, figsize='M-WS', + title='Confusion matrix', + # cmap=None, + cmap_name='Blues', + normalize=True): + # aka. def visualise_confusion_matrix() + """ + cm: confusion matrix, np.ndarray + target_names: given classification classes such as [0, 1, 2] + the class names, e.g., ['high','medium','low'] + title: the text to display at the top of the matrix + cmap: the gradient of the values displayed from matplotlib.pyplot.cm + see: + http://matplotlib.org/examples/color/colormaps_reference.html + plt.get_cmap('jet') or plt.cm.Blues + normalize: If False, plot the raw numbers + If True, plot the proportions # show proportions + """ + + cm = confusion_matrix(y, hx) # y_true, y_pred + accuracy = np.trace(cm) / np.sum(cm).astype('float') + misclass = 1 - accuracy # scalars + # if cmap is None: + # cmap = plt.get_cmap('Blues') + # cmap = plt.get_cmap(cmap_name) # default:None + cmap = plt.colormaps.get_cmap(cmap_name) + + fig = plt.figure(figsize=(8, 6)) + plt.imshow(cm, interpolation='nearest', cmap=cmap) + if title != '': + plt.title(title) + plt.colorbar() + + # aka. target_names + if label_vals is not None: + tick_marks = np.arange(len(label_vals)) + plt.xticks(tick_marks, label_vals, rotation=15) + plt.yticks(tick_marks, label_vals) + + if normalize: + cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis] + thresh = cm.max() / 1.5 if normalize else cm.max() / 2 + for i, j in itertools.product(range(cm.shape[0]), + range(cm.shape[1])): + tmp = "white" if cm[i, j] > thresh else "black" + + # ''' + # if normalize: + # plt.text(j, i, "{:0.4f}".format(cm[i, j]), + # horizontalalignment="center", color=tmp) + # else: + # plt.text(j, i, "{:,}".format(cm[i, j]), + # horizontalalignment="center", color=tmp) + # ''' + + tmp_annot = "{:0.4f}".format(cm[ + i, j]) if normalize else "{:,}".format(cm[i, j]) + plt.text(j, i, tmp_annot, horizontalalignment="center", + color=tmp) + del tmp_annot + + # 'accuracy={:0.4f}; misclass={:0.4f}'.format(accuracy, misclass) + key = 'accuracy={:.2f}%; misclass={:.2f}%'.format( + accuracy * 100, misclass * 100) + plt.ylabel('True label') + plt.xlabel('Predicted label\n%s' % key) + # fig = _setup_figsize(fig, figsize) # ,invt=False) + _style_set_fig(fig, siz=_setup_config[figsize]) + _setup_figshow(fig, figname) + return + + +# ---------------------------------- +# subchart + +# subchart_backslash_distributed.m + +_backslash_distributed = { + "ua": "Accuracy (%)", + "ut": "Time Cost (s)", + "us": "Space Cost (#)" +} + +_baseline_facecolor = { + "ua": {'h1': tuple([i / 255 for i in [153, 50, 204]]), + 'h2': tuple([i / 255 for i in [204, 204, 254]])}, + "ut": {'h1': tuple([0, 0.4470, 0.7410]), + 'h2': tuple([i / 255 for i in [135, 206, 250]])}, + "us": {'h1': tuple([0, 0.5019, 0.5020]), + 'h2': tuple([i / 255 for i in [64, 224, 208]])} +} + + +# _barh_kwargs = +# _barh_fcolor = + +_barh_patterns = ( + '/', '//', '-', '+', 'x', + '\\', '\\\\', '*', 'o', 'O', + '.' +) + + +def backslash_subchart(val_avg, val_std, pickup_uat, + picked_keys, figname, figsize='S-NT'): + locate = PLT_LOCATION + if pickup_uat == "ua": + locate = "lower left" # "SouthWest" + annots = _backslash_distributed[pickup_uat] + + h1_facecolor = _baseline_facecolor[pickup_uat]['h1'] + h2_facecolor = _baseline_facecolor[pickup_uat]['h2'] + + pick_leng_pru = len(picked_keys) + ind = np.arange(pick_leng_pru) # x locations for groups + wid = .4 # width of the bars: can also be len(x) sequence + gap = 0. # .03 + fig, axs = plt.subplots(figsize=_setup_config['L-NT']) + + # p1 = axs.bar(ind - wid / 2 - gap, + axs.bar(ind - wid / 2 - gap, val_avg[0], wid, + yerr=val_std[0], color=h1_facecolor, + label="Centralised", **_barh_kwargs) + # p2 = axs.bar(ind + wid / 2 + gap, + axs.bar(ind + wid / 2 + gap, val_avg[1], wid, + yerr=val_std[1], color=h2_facecolor, + label="Distributed", **_barh_kwargs) + # box off + + t = axs.get_ylim() + ymin = np.min(val_avg - val_std) + ymax = np.max(val_avg + val_std) + if pickup_uat == "ua": + ymin = np.floor(ymin / 5) * 5 - 5 + ymax = np.min([t[1], ymax + 0.5]) + # axs.set_ylim(ymin, ymax) + axs.set_ylim(0, ymax) + elif pickup_uat in ["ut", "us"]: + ymin = np.max([-2, np.floor(ymin) - 1]) + ymax = np.min([t[1], np.ceil(ymax / 10 + 1) * 10]) + # axs.set_ylim(np.max([ymin, 0]), ymax) + axs.set_ylim(0, ymax) + del ymin, ymax + + axs.legend(loc=locate, labelspacing=.05) + axs.set_ylabel(annots) + axs.set_xticks(ind) + axs.set_xticklabels(picked_keys, rotation=25) + axs.autoscale_view() + fig = _setup_figsize(fig, figsize, invt=False) + _setup_figshow(fig, figname + "_" + pickup_uat) + plt.close(fig) + return + + +# bar_chart_with_error.m + +def bar_chart_with_error(greedy, ddismi, + tc_grd, tc_dsm, + sc_grd, sc_dsm, + pickup_pru, name_pru_set, + figname, figsize='S-NT'): + # picked_keys, cmap_name='Purples_r' + # row: data_set; col: name_pru + picked_keys = [name_pru_set[i] for i in pickup_pru] + pick_leng_pru = len(picked_keys) + + A_avg = np.zeros(shape=(2, pick_leng_pru)) + A_std = np.zeros(shape=(2, pick_leng_pru)) + T_avg = np.zeros(shape=(2, pick_leng_pru)) + T_std = np.zeros(shape=(2, pick_leng_pru)) + S_avg = np.zeros(shape=(2, pick_leng_pru)) + S_std = np.zeros(shape=(2, pick_leng_pru)) + + greedy *= 100. # percent + ddismi *= 100. # percent + + A_avg[0, :] = np.mean(greedy[:, pickup_pru], axis=0) + A_avg[1, :] = np.mean(ddismi[:, pickup_pru], axis=0) + A_std[0, :] = np.std(greedy[:, pickup_pru], axis=0, ddof=1) + A_std[1, :] = np.std(ddismi[:, pickup_pru], axis=0, ddof=1) + + T_avg[0, :] = np.mean(tc_grd[:, pickup_pru], axis=0) + T_avg[1, :] = np.mean(tc_dsm[:, pickup_pru], axis=0) + T_std[0, :] = np.std(tc_grd[:, pickup_pru], axis=0, ddof=1) + T_std[1, :] = np.std(tc_dsm[:, pickup_pru], axis=0, ddof=1) + + S_avg[0, :] = np.mean(sc_grd[:, pickup_pru], axis=0) + S_avg[1, :] = np.mean(sc_dsm[:, pickup_pru], axis=0) + S_std[0, :] = np.std(sc_grd[:, pickup_pru], axis=0, ddof=1) + S_std[1, :] = np.std(sc_dsm[:, pickup_pru], axis=0, ddof=1) + + backslash_subchart(A_avg, A_std, "ua", picked_keys, figname) + backslash_subchart(T_avg, T_std, "ut", picked_keys, figname) + backslash_subchart(S_avg, S_std, "us", picked_keys, figname) + return + + +def multiple_hist_chart(Ys_avg, Ys_std, picked_keys, + annotX='', annotYs=tuple('Y'), + figname='', figsize='S-NT', + rotate=80): + # aka. def multiple_hist_charts() + pick_leng_pru, pick_len_fair = Ys_avg.shape + ind = np.arange(pick_leng_pru) * 2 + wid = (2 - 0.4) / pick_len_fair + # wid = .25 # width,index + fig, ax = plt.subplots(figsize=_setup_config['L-NT']) + + kwargs = _barh_kwargs.copy() + kwargs["error_kw"]["elinewidth"] = .7 # wid + kwargs["error_kw"]["capsize"] = 3.6 + for k in range(pick_len_fair): + gap = k * wid + ax.bar(ind + gap, Ys_avg[:, k], width=wid, + yerr=Ys_std[:, k], label=annotYs[k], + # color=_barh_fcolor[k], **_barh_kwargs) + color=_barh_fcolor[k], **kwargs) + ymin, ymax = ax.get_ylim() + # if ymax > 0: + if ymax > 0 and ymax > abs(ymin): + ax.set_ylim(0, ymax) + if annotX.startswith('Fairness'): + ax.set_ylim(0, ymax + 0.15) + # elif ymin < 0 and ymax <= 0: + elif ymin < 0 and abs(ymin) > ymax: + ax.set_ylim(ymin, 0) + if annotX.startswith('Fairness'): + ax.set_ylim(ymin - 0.05, 0) + + ax.set_ylabel(annotX) + ax.legend(loc=PLT_LOCATION, labelspacing=.05, fontsize=8) + ax.set_xticks(ind + wid * (pick_len_fair // 2 - .5)) + ax.set_xticklabels(picked_keys, rotation=rotate) + ax.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def twinx_hist_chart(Y1_avg, Y1_std, Y2_avg, Y2_std, + # picked_keys, annotX='', annotY=tuple('Y'), + picked_keys, annotY=tuple('Y'), + annotX=('Fairness Measure', 'Objective Function'), + # annotX=('Fairness Measure', r'$\mathcal{L}$'), + figname='', figsize='S-NT', rotate=20): + pick_leng_pru = len(picked_keys) + pick_fair_1 = np.shape(Y1_avg)[1] + pick_fair_2 = np.shape(Y2_avg)[1] + ind = np.arange(pick_leng_pru) * 2 + wid = (2 - 0.5) / (pick_fair_1 + pick_fair_2) + fig, ax1 = plt.subplots(figsize=_setup_config['L-NT']) + ax2 = ax1.twinx() + ps = [] + + for k in range(pick_fair_1): + gap = k * wid + pt = ax1.bar(ind + gap, Y1_avg[:, k], width=wid, + yerr=Y1_std[:, k], label=annotY[k], + color=_barh_fcolor[k], **_barh_kwargs) + ps.append(pt) + for k in range(pick_fair_2): + gap = (k + pick_fair_1) * wid + pt = ax2.bar(ind + gap, Y2_avg[:, k], width=wid, + yerr= Y2_std[:, k], hatch='//', + label=annotY[k + pick_fair_1], + color=_barh_fcolor[k + pick_fair_1], + **_barh_kwargs) + ps.append(pt) + + ymax = ax1.get_ylim()[1] # ymin, ymax = ax1.get_ylim() + ax1.set_ylim(0, ymax) + # ymin, ymax = ax2.get_ylim() + # ax2.set_ylim(0, ymax) + ax1.set_ylabel(annotX[0]) + ax2.set_ylabel(annotX[1]) + # ax1.set_ylabel(annotX) + ax1.set_xticks(ind + .5) + ax1.set_xticklabels(picked_keys, rotation=rotate) + plt.legend(handles=ps, labelspacing=.05) + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +def twinx_bars_chart(Y1_avg, Y1_std, Y2_avg, Y2_std, + picked_keys, annotX=tuple('X'), + figname='', figsize='S-NT', rotate=45): + pick_leng_pru = len(picked_keys) + pick_fair_1 = np.shape(Y1_avg)[0] + pick_fair_2 = np.shape(Y2_avg)[0] + ind_1 = np.arange(pick_fair_1) * 2 + ind_2 = np.arange(pick_fair_2) * 2 + pick_fair_1 * 2 + wid = (2 - 0.5) / pick_leng_pru + fig, ax1 = plt.subplots(figsize=_setup_config['L-NT']) + ax2 = ax1.twinx() + ps = [] + + for k in range(pick_leng_pru): + gap = k * wid + pt = ax1.bar(ind_1 + gap, Y1_avg[:, k], width=wid, + yerr=Y1_std[:, k], label=picked_keys[k], + color=_barh_fcolor[k], **_barh_kwargs) + ps.append(pt) + for k in range(pick_leng_pru): + gap = k * wid + ax2.bar(ind_2 + gap, Y2_avg[:, k], width=wid, + yerr=Y2_std[:, k], color=_barh_fcolor[k], + hatch='//', **_barh_kwargs) + + ymax = ax1.get_ylim()[1] # ymin, ymax = ax1.get_ylim() + ax1.set_ylim(0, ymax) + # ymin, ymax = ax2.get_ylim() + # ax2.set_ylim(0, ymax) + ax1.set_ylabel('Fairness Measure') + ax2.set_ylabel(r'$diff($accuracy$)$') + ax1.set_xticks(np.concatenate([ind_1, ind_2], axis=0)) + ax1.set_xticklabels(annotX, rotation=rotate) + plt.legend(handles=ps, loc=PLT_LOCATION, labelspacing=.05) + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# ---------------------------------- +# subchart + +# line_chart.m +# Effect of $\lambda$ value + +_line_marker = [ + '--vr', '--om', '--sb', '--dk', + '-xr', '-om', '-sb', '-dk', +] + + +def line_chart(data, + pickup_thin, set_k2, + pickup_lam2, set_lam2, + figname, figsize='S-NT'): + if not isinstance(data, np.ndarray): + data = np.array(data) # for list + # end if for robustness + + # Global + len_thin, len_lam2 = len(set_k2), len(set_lam2) + key_thin = [str(np.around( + set_k2[i], decimals=2)) for i in range(len_thin)] + key_lam2 = [np.around( + set_lam2[j], decimals=2) for j in range(len_lam2)] + key_lam2 = [r"$\lambda$ = " + str(j) for j in key_lam2] + + cnt = 0 # counter = 1 + fig_thin, axs_thin = plt.subplots( + figsize=_setup_config['L-NT']) + for j in pickup_lam2: + axs_thin.plot(set_k2, data[:, j], + _line_marker[cnt], label=key_lam2[j], + linewidth=1, markersize=3) + cnt += 1 + # axs_thin.set_xlim(min(set_k2) - 0.3, max(set_k2) + 0.3) + axs_thin.set_xlabel("Size of the Pruned Sub-Ensemble") + axs_thin.set_ylabel("Accuracy (%)") + plt.legend(loc=PLT_LOCATION, frameon=PLT_FRAMEBOX, + labelspacing=.05) + fig_thin = _setup_figsize(fig_thin, figsize) + _setup_figshow(fig_thin, figname + "_lam2") + plt.close(fig_thin) + + cnt = 0 + fig_lam2 = plt.figure(figsize=_setup_config['L-NT']) + for i in pickup_thin: + plt.plot(set_lam2, data[i, :], + _line_marker[cnt], label=key_thin[i], + linewidth=1, markersize=3) + cnt += 1 + # plt.xlim(min(set_lam2) - 0.015, max(set_lam2) + 0.015) + plt.xlabel(r"$\lambda$") + plt.ylabel("Accuracy (%)") + plt.legend(loc=PLT_LOCATION, frameon=True, + labelspacing=.05) + fig_lam2 = _setup_figsize(fig_lam2, figsize) + _setup_figshow(fig_lam2, figname + "_thin") + plt.close(fig_lam2) + return + + +def multiple_line_chart(X, Ys, annots=( + r"$\lambda$", r"Test Accuracy (%)"), + annotY=('Ensem',), mkrs=None, + figname='lam', figsize='S-NT'): + # aka. def line_chart_with_algs() + if mkrs is None: + mkrs = ['-'] + _line_marker + pick_leng_pru = Ys.shape[1] + fig, ax = plt.subplots(figsize=_setup_config['L-NT']) + for j in range(pick_leng_pru): + i = j % len(mkrs) + ax.plot(X, Ys[:, j], mkrs[i], label=annotY[j], + linewidth=1, markersize=2.5) # 2 + ax.set_xlabel(annots[0]) + ax.set_ylabel(annots[1]) + ax.set_xlim(X[0], X[-1]) + plt.legend(loc=PLT_LOCATION, frameon=PLT_FRAMEBOX, + labelspacing=.05) + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname) + plt.close(fig) + return + + +# comparison_subchart_accuracy.m +# def bsl_subchart_accuracy(): +# pass + +# comparison_subchart_timecost.m +# def bsl_subchart_timecost(): +# pass + + +def baseline_subchart(val_avg, val_std, pickup_uat, + picked_keys, figname, figsize='S-NT'): + locate = "lower left" # "SouthWest" + annots = _backslash_distributed[pickup_uat] + + h1_facecolor = _baseline_facecolor[pickup_uat]['h1'] + h2_facecolor = _baseline_facecolor[pickup_uat]['h2'] + + pick_leng_pru = len(picked_keys) + ind = np.arange(pick_leng_pru) # locations for groups + wid = .41 # width of the bars: can also be len(x) sequence + kwargs = { + "error_kw": {"ecolor": "0.2", "capsize": 6, }, + # "width": .45, + } + + fig, axs = plt.subplots(figsize=_setup_config['L-NT']) + # p1 = axs.bar(ind - wid / 2, val_avg[0], wid, yerr=val_std[0], + # color=h1_facecolor, label="Centralised", **kwargs) + # p2 = axs.bar(ind + wid / 2, val_avg[1], wid, yerr=val_std[1], + # color=h2_facecolor, label="Distributed", **kwargs) + axs.bar(ind - wid / 2, val_avg[0], wid, yerr=val_std[0], + color=h1_facecolor, label="Centralised", **kwargs) + axs.bar(ind + wid / 2, val_avg[1], wid, yerr=val_std[1], + color=h2_facecolor, label="Distributed", **kwargs) + + if pickup_uat == "ua": + t = axs.get_ylim() + axs.set_ylim(50, t[1]) + axs.set_ylabel(annots) + axs.set_xticks(ind) + axs.set_xticklabels(picked_keys, rotation=35) + axs.legend(loc=locate, labelspacing=.046) + axs.autoscale_view() + fig = _setup_figsize(fig, figsize) + _setup_figshow(fig, figname + "_" + pickup_uat) + plt.close(fig) + return + + +# ---------------------------------- +# subchart +# masegosa2020second.pdf +# +# aka. bar chart +# For one dataset, corresponding to one specific +# name_ens & abbr_cls + +_hist_color = [ + 'forestgreen', + 'slateblue', 'darkslateblue', 'mediumslateblue', + 'mediumpurple', 'indigo' +] + +_hist_color = [ + tuple([i / 255 for i in [65, 189, 122]]), # 41BD7A, 74 + tuple([i / 255 for i in [118, 138, 127]]), # 768A7F, 54 + tuple([i / 255 for i in [126, 240, 110]]), # 7EF06E, 94 + tuple([i / 255 for i in [235, 172, 242]]), # EBACF2, 95 + tuple([i / 255 for i in [144, 68, 189]]), # 9044BD, 74 +] # RGB, bright. 复合 + +_hist_linsty = [ + # 'dashed', 'solid', 'dotted', 'dashdot', + '--', '-', '.', '-.', +] # plt.plot(linestype=) + + +def _hist_calc_XY(X, Ys): + k = np.shape(Ys)[1] # N, k = np.shape(Ys) + + X_avg = None if X is None else np.mean(X, axis=0).tolist() + Y_avg = np.mean(Ys, axis=0) + Y_std = np.std(Ys, axis=0, ddof=1) + + ind = np.arange(k) + # nb_st: split + return X_avg, Y_avg, Y_std, ind + + +def histogram_hor(ind, X_avg, Y_avg, Y_std, + figname, figsize='M-WS', + annotX='X', annotY=('Y',), st=100, + remarks=None): + # horizontal (acr) + fig, ax = plt.subplots(figsize=_setup_config['L-NT']) + ax.bar(ind, Y_avg, yerr=Y_std, + color=_hist_color, **_barh_kwargs) + + x_min, x_max = ax.get_xlim() + grid = np.linspace(x_min - .5, x_max + .5, num=st) + if (X_avg is not None) and (remarks is not None): + if isinstance(X_avg, float): + ax.plot(grid, [X_avg] * st, '--', color='orange', + label=remarks[0]) + else: + for k, v in enumerate(X_avg): + ax.plot(grid, [v] * st, _hist_linsty[k], + color='orange', label=remarks[k]) + elif X_avg is not None: + if isinstance(X_avg, float): + ax.plot(grid, [X_avg] * st, '--', color='orange') + else: + for k, v in enumerate(X_avg): + ax.plot(grid, [v] * st, _hist_linsty[k], + color='orange') + ax.set_xlim(x_min, x_max) + if remarks is not None: + plt.legend(loc='upper right', frameon=False, labelspacing=.05) + + y_max = ax.get_ylim()[1] # y_min, y_max = ax.get_ylim() + ax.set_ylim(0, y_max) + ax.set_ylabel(annotX) + ax.set_xticks(ind) + ax.set_xticklabels(annotY, rotation=80) + + ax.autoscale_view() + fig = _setup_figsize(fig, figsize, invt=False) + _setup_figshow(fig, figname + '_hor') + plt.close(fig) + return + + +def histogram_vrt(ind, X_avg, Y_avg, Y_std, + figname, figsize='M-WS', + annotX='X', annotY=('Y',), st=100, + remarks=None): + # vertical (vert) + fig, ax = plt.subplots(figsize=_setup_config['L-NT']) + ax.barh(ind, Y_avg, xerr=Y_std, + color=_hist_color, **_barh_kwargs) + + y_min, y_max = ax.get_ylim() + grid = np.linspace(y_min - .5, y_max + .5, num=st) + if (X_avg is not None) and (remarks is not None): + if isinstance(X_avg, float): + ax.plot([X_avg] * st, grid, '--', color='orange', + label=remarks[0]) + # break + else: + for k, v in enumerate(X_avg): + ax.plot([v] * st, grid, _hist_linsty[k], + color='orange', label=remarks[k]) + elif X_avg is not None: + if isinstance(X_avg, float): + ax.plot([X_avg] * st, grid, '--', color='orange') + else: + for k, v in enumerate(X_avg): + ax.plot([v] * st, grid, _hist_linsty[k], + color='orange') + ax.set_ylim(y_min, y_max) + if remarks is not None: + plt.legend(loc='upper right', frameon=False, labelspacing=.05) + + x_max = ax.get_xlim()[1] # x_min, x_max = ax.get_xlim() + ax.set_xlim(0, x_max) + ax.set_xlabel(annotX) + ax.set_yticks(ind) + ax.set_yticklabels(annotY) + + ax.autoscale_view() + fig = _setup_figsize(fig, figsize, invt=True) + _setup_figshow(fig, figname + '_vrt') + plt.close(fig) + return + + +def histogram_chart(X, Ys, figname, figsize='M-WS', + annotX='X', annotY=('Y',), st=100, + ind_hv='h'): + X_avg, Y_avg, Y_std, ind = _hist_calc_XY(X, Ys) + # y_labels = ['Size of the Original Ensemble', + # 'Size of the Pruned Sub-Ensemble (expected)'] + y_labels = ['# Ensem', '# Sub-Ensem (Exp.)'] + + if ind_hv == 'h': + histogram_hor(ind, X_avg, Y_avg, Y_std, + figname, figsize, annotX, annotY, st, + y_labels) + elif ind_hv == 'v': + histogram_vrt(ind, X_avg, Y_avg, Y_std, + figname, figsize, annotX, annotY, st, + y_labels) + return + + +# ---------------------------------- diff --git a/pyfair/granite/ensem_diversity.py b/pyfair/granite/ensem_diversity.py new file mode 100644 index 0000000..a2785ed --- /dev/null +++ b/pyfair/granite/ensem_diversity.py @@ -0,0 +1,356 @@ +# coding: utf-8 +# +# Target: +# Existing diversity measures in ensemble learning +# + + +from copy import deepcopy +import numpy as np + +from pyfair.facil.utils_const import ( + check_zero, judge_transform_need, DTY_INT) +from pyfair.facil.utils_remark import ( + PAIRWISE, NONPAIRWISE, AVAILABLE_NAME_DIVER) + +from pyfair.marble.diver_pairwise import ( + pairwise_measure_gather_multiclass, + pairwise_measure_item_multiclass, + pairwise_measure_whole_binary, pairwise_measure_whole_multi) +from pyfair.marble.diver_nonpairwise import ( + nonpairwise_measure_gather_multiclass, + nonpairwise_measure_item_multiclass) + +# from fairml.widget.utils_const import ( +# check_zero, DTY_FLT, DTY_INT, judge_transform_need) + + +# ================================== +# General +# ================================== + + +# ---------------------------------- +# Data Set +# ---------------------------------- +# +# Instance : \mathcal{Y} \in \{c_1,...,c_{\ell}\} = {0,1,...,n_c-1} +# m (const) : number of instances +# n (const) : number of individual classifiers +# n_c (const: number of classes / labels +# +# Data Set : \mathcal{D} = \{(\mathbf{x}_i, y_i)\}_{i=1}^m +# Classifier: \mathcal{H} = \{h_j\}_{j=1}^n +# + + +# """ +# def contingency_table_binary(hi, hj): +# if not (len(hi) == len(hj)): # number of instances/samples +# raise AssertionError("These two individual classifiers have" +# " two different shapes.") +# tem = np.concatenate([hi, hj]) +# _, dY = judge_transform_need(tem) +# del tem +# if dY > 2: +# raise AssertionError("contingency_table only works for binary" +# " classification.") # works for only. +# elif dY == 2: +# hi = [i * 2 - 1 for i in hi] +# hj = [i * 2 - 1 for i in hj] +# # # # +# hi = np.array(hi, dtype=DTY_INT) +# hj = np.array(hj, dtype=DTY_INT) +# a = np.sum((hi == 1) & (hj == 1)) +# b = np.sum((hi == 1) & (hj == -1)) +# c = np.sum((hi == -1) & (hj == 1)) +# d = np.sum((hi == -1) & (hj == -1)) +# # return int(a), int(b), int(c), int(d) +# return a, b, c, d +# +# +# def contingency_table_multi(hi, hj, y): +# tem = np.concatenate([hi, hj, y]) +# # vY = np.unique(tem) +# # dY = len(vY) +# vY, dY = judge_transform_need(tem) +# del tem +# if dY == 1: +# dY = 2 +# ha, hb = np.array(hi), np.array(hj) # y=np.array(y) +# # construct a contingency table +# Cij = np.zeros(shape=(dY, dY), dtype=DTY_INT) +# for i in range(dY): +# for j in range(dY): +# Cij[i, j] = np.sum((ha == vY[i]) & (hb == vY[j])) +# # # # +# # return Cij.tolist() # list +# return Cij.copy() # Cij, np.ndarray +# +# +# def contingency_table_multiclass(ha, hb, y): +# # construct a contingency table, Cij +# a = np.sum(np.logical_and(np.equal(ha, y), np.equal(hb, y))) +# c = np.sum(np.logical_and(np.equal(ha, y), np.not_equal(hb, y))) +# b = np.sum(np.logical_and(np.not_equal(ha, y), np.equal(hb, y))) +# d = np.sum(np.logical_and(np.not_equal(ha, y), np.not_equal(hb, y))) +# # a,b,c,d are `np.integer` (not `int`), a/b/c/d.tolist() gets `int` +# return int(a), int(b), int(c), int(d) +# """ + + +# ================================== +# General +# ================================== +# +# zhou2012ensemble : binary (multi: self defined) +# kuncheva2003diversity: multiclass +# + + +# ---------------------------------- +# General Overall + + +def contrastive_diversity_gather_multiclass(name_div, y, yt): + m = len(y) # number of instances + nb_cls = len(yt) # number of individuals + assert name_div in AVAILABLE_NAME_DIVER + if name_div in PAIRWISE.keys(): + return pairwise_measure_gather_multiclass( + name_div, yt, y, m, nb_cls) + elif name_div in NONPAIRWISE.keys(): + return nonpairwise_measure_gather_multiclass( + name_div, yt, y, m, nb_cls) + raise ValueError( + "LookupError! Double check the `name_div` please.") + + +def contrastive_diversity_item_multiclass(name_div, y, ha, hb): + m = len(y) # if m is None else m + # number of individual classifiers + assert name_div in AVAILABLE_NAME_DIVER + if name_div in PAIRWISE.keys(): + return pairwise_measure_item_multiclass( + name_div, ha, hb, y, m) + elif name_div in NONPAIRWISE.keys(): + return nonpairwise_measure_item_multiclass( + name_div, ha, hb, y, m) + raise ValueError( + "LookupError! Double check the `name_div` please.") + + +def contrastive_diversity_by_instance_multiclass(name_div, y, yt): + # nb_cls = len(yt) # number of individual / weak classifiers + nb_inst = len(y) # =m, number of instances/samples in the data set + answer = [] + for k in range(nb_inst): + h = [y[k]] + ht = [[fx[k]] for fx in yt] + ans = contrastive_diversity_gather_multiclass(name_div, h, ht) + answer.append(ans) + return deepcopy(answer) + + +# ---------------------------------- + + +def contrastive_diversity_whole_binary(name_div, y, yt): + m, nb_cls = len(y), len(yt) + if name_div in PAIRWISE.keys(): + return pairwise_measure_whole_binary( + PAIRWISE[name_div], yt, y, m, nb_cls) + elif name_div in NONPAIRWISE.keys(): + return nonpairwise_measure_gather_multiclass( + name_div, yt, y, m, nb_cls) + raise ValueError("Incorrect `name_div`.") + + +def contrastive_diversity_whole_multi(name_div, y, yt): + m, nb_cls = len(y), len(yt) + if name_div in PAIRWISE.keys(): + return pairwise_measure_whole_multi( + PAIRWISE[name_div], yt, y, m, nb_cls) + elif name_div in NONPAIRWISE.keys(): + return nonpairwise_measure_gather_multiclass( + name_div, yt, y, m, nb_cls) + raise ValueError("Incorrect `name_div`.") + + +# ---------------------------------- + + +# ''' +# def div_inst_item_cont_tab(ha, hb, vY, dY, change="mu"): +# if (change == "bi") or (dY == 2): # dY == 2 +# ha = ha * 2 - 1 # ha = [i * 2 - 1 for i in ha] +# hb = hb * 2 - 1 # hb = [i * 2 - 1 for i in hb] +# if (change in ["bi", "tr"]) or (dY in [1, 2]): +# a = np.sum(np.equal(ha, 1) & np.equal(hb, 1)) +# b = np.sum(np.equal(ha, 1) & np.equal(hb, -1)) +# c = np.sum(np.equal(ha, -1) & np.equal(hb, 1)) +# d = np.sum(np.equal(ha, -1) & np.equal(hb, -1)) +# return a, b, c, d +# elif (change == "mu") or (dY >= 3): +# Cij = np.zeros(shape=(dY, dY), dtype=DTY_INT) +# for i in range(dY): +# for j in range(dY): +# Cij[i, j] = np.sum( +# np.equal(ha, vY[i]) & np.equal(hb, vY[j])) +# return Cij.copy() +# raise ValueError( +# "Check `change`, it should belong to {tr,bi,mu}.") +# ''' + + +def div_inst_item_cont_tab(ha, hb, vY, dY, change="mu"): + assert change in ('tr', 'bi', 'mu'), "ValueError, check `change`." + if (change == 'mu') or (dY >= 3): + Cij = np.zeros(shape=(dY, dY), dtype=DTY_INT) # 'int') + for i in range(dY): + for j in range(dY): + Cij[i, j] = np.sum( + np.equal(ha, vY[i]) & np.equal(hb, vY[j])) + return Cij # Cij.copy() # contg_tab_mu_type3(ha, hb, vY) + if (change == "bi") or (dY == 2): # dY == 2 + ha = ha * 2 - 1 # ha = [i * 2 - 1 for i in ha] + hb = hb * 2 - 1 # hb = [i * 2 - 1 for i in hb] + # if (change in ["bi", "tr"]) or (dY in [1, 2]): + a = np.sum(np.equal(ha, 1) & np.equal(hb, 1)) + b = np.sum(np.equal(ha, 1) & np.equal(hb, -1)) + c = np.sum(np.equal(ha, -1) & np.equal(hb, 1)) + d = np.sum(np.equal(ha, -1) & np.equal(hb, -1)) + return a, b, c, d + + +def div_inst_item_pairwise(name_div, h, ha, hb, vY, dY): + # if change in ["tr", "bi"]: + change = "tr" if dY == 1 else "bi" + a, b, c, d = div_inst_item_cont_tab(ha, hb, vY, dY, change) + # if change != "mu": + # # # + if name_div == "QStat": + return (a * d - b * c) / check_zero(a * d + b * c) + elif name_div == "KStat": + m = a + b + c + d + Theta_1 = float(a + d) / m + Theta_2 = ( + (a + b) * (a + c) + (c + d) * (b + d)) / float(m ** 2) + return (Theta_1 - Theta_2) / check_zero(1. - Theta_2) + elif name_div == "Disag": + return float(b + c) / (a + b + c + d) + elif name_div == "Corre": + denominator = (a + b) * (a + c) * (c + d) * (b + d) + denominator = np.sqrt(denominator) + return (a * d - b * c) / check_zero(denominator) + elif name_div == "DoubF": + e = np.sum(np.not_equal(ha, h) & np.not_equal(hb, h)) + return float(e) / (a + b + c + d) + # # + raise ValueError( + "Check `name_div`, not a pairwise measure of diversity.") + + +# def contrastive_diversity_institem_mubi(name_div, y, ha, hb, change="mu"): +def div_inst_item_mubi(name_div, h, ha, hb, vY, dY): + # elif change == "mu": + Cij = div_inst_item_cont_tab(ha, hb, vY, dY, change="mu") + m = 1 # m = len(h) + + # ''' + # if name_div == "QStat": + # axd = np.prod([Cij[i][i] for i in range(dY)]) + # bxc = np.prod([Cij[i][dY - 1 - i] for i in range(dY)]) + # return (axd - bxc) / check_zero(axd + bxc) + # elif name_div == "KStat": + # Theta_1 = np.sum([Cij[i, i] for i in range(dY)]) / float(m) + # Theta_2 = np.sum(Cij, axis=1) * np.sum(Cij, axis=0) + # Theta_2 = np.sum(Theta_2) / float(m ** 2) + # return (Theta_1 - Theta_2) / check_zero(1. - Theta_2) + # elif name_div == "Disag": + # # return np.sum(np.not_equal(ha, hb)) / float(a + b + c + d) + # return np.sum(np.not_equal(ha, hb)) / float(m) + # elif name_div == "Corre": + # axd = np.prod([Cij[i, i] for i in range(dY)]) + # bxc = np.prod([Cij[i, dY - 1 - i] for i in range(dY)]) + # denominator = np.multiply( + # np.sum(Cij, axis=1), np.sum(Cij, axis=0)) + # denominator = np.sqrt(np.prod(denominator)) + # # denominator = np.sqrt(np_prod(denominator.tolist())) + # return (axd - bxc) / check_zero(denominator) + # elif name_div == "DoubF": + # e = np.sum(np.not_equal(ha, h) & np.not_equal(hb, h)) + # return float(e) / m + # ''' + + Cij_ixi = [Cij[i, i] for i in range(dY)] # np.diag(Cij) + Cij_minus = [Cij[i, dY - 1 - i] for i in range(dY)] + if name_div == "QStat": + axd = np.prod(Cij_ixi) + bxc = np.prod(Cij_minus) + return (axd - bxc) / check_zero(axd + bxc) + elif name_div == "KStat": + Theta_1 = np.sum(Cij_ixi) / float(m) + Theta_2 = np.sum(Cij, axis=1) * np.sum(Cij, axis=0) + Theta_2 = np.sum(Theta_2) / float(m ** 2) + return (Theta_1 - Theta_2) / check_zero(1. - Theta_2) + elif name_div == "Disag": + return np.sum(np.not_equal(ha, hb)) / float(m) + elif name_div == "Corre": + axd = np.prod(Cij_ixi) + bxc = np.prod(Cij_minus) + denominator = np.multiply( + np.sum(Cij, axis=1), np.sum(Cij, axis=0)) + denominator = np.sqrt(np.prod(denominator)) + return (axd - bxc) / check_zero(denominator) + elif name_div == "DoubF": + e = np.sum(np.not_equal(ha, h) & np.not_equal(hb, h)) + return float(e) / m + + # if name_div not in PAIRWISE: # i.e., PAIRWISE.keys() + raise ValueError( + "Check `name_div`, it should be a pairwise measure.") + + +def contrastive_diversity_instance_mubi(name_div, y, yt): # , change="mu" + vY = np.concatenate( + [[y], yt], axis=0).reshape(-1).tolist() + vY, dY = judge_transform_need(vY) + change = "mu" if dY >= 3 else ("bi" if dY == 2 else "tr") # dY==1 + nb_inst, nb_cls, answer = len(y), len(yt), [] + for k in range(nb_inst): + h = y[k] # h = [y[k]] + ht = [fx[k] for fx in yt] # ht = [[fx[k]] for fx in yt] + # if change == "mu": + # ans = contrastive_diversity_whole_multi(name_div, h, ht) + # elif change in ["bi", "tr"]: + # ans = contrastive_diversity_whole_binary(name_div, h, ht) + # else: + # raise ValueError("Check the `change` parameter please.") + if name_div in PAIRWISE: + res = 0. + if change in ["tr", "bi"]: + for ia in range(nb_cls - 1): + for ib in range(ia + 1, nb_cls): + res += div_inst_item_pairwise( + name_div, h, ht[ia], ht[ib], vY, dY) + elif change in ["mu"]: + for ia in range(nb_cls - 1): + for ib in range(ia + 1, nb_cls): + res += div_inst_item_mubi( + name_div, h, ht[ia], ht[ib], vY, dY) + else: + raise ValueError( + "Check `change`, it should belong to {tr,bi,mu}.") + ans = res * 2. / check_zero(nb_cls * (nb_cls - 1.)) + elif name_div in NONPAIRWISE: + # i.e., contrastive_diversity_whole_multi(name_div, h, ht) + ht = [[fx] for fx in ht] + ans = contrastive_diversity_gather_multiclass( + name_div, [h], ht) + # NOTICE: 'GeneD', 'CFail/CoinF' might have bug: + # ## ZeroDivisionError: float division by zero + else: + raise ValueError("Check `name_div`, pairwise/nonpairwise?") + answer.append(ans) + return deepcopy(answer) diff --git a/pyfair/granite/ensem_prulatest.py b/pyfair/granite/ensem_prulatest.py new file mode 100644 index 0000000..20de27f --- /dev/null +++ b/pyfair/granite/ensem_prulatest.py @@ -0,0 +1,1776 @@ +# coding: utf-8 +# +# Target: +# Existing pruning methods in ensemble methods, +# with the pruned order +# +# Including: +# 1) Ranking based / Ordering based +# 2) Clustering based +# 3) Optimization based +# 4) Other +# 5) Ameliorate of mine (my own version) +# 6) Composable Core-sets, Diversity Maximization +# + + +from copy import deepcopy +import gc +import time +import numpy as np +from pympler.asizeof import asizeof + +from pyfair.facil.utils_const import check_zero, DTY_INT, DTY_BOL +from pyfair.facil.ensem_voting import plurality_voting +from pyfair.marble.data_entropy import I as EntropyI +gc.enable() + + +# ========================================= +# \citep{zhang2017ranking} +# \citep{zhang2020selective} +# \citep{zhang2019pruning} +# ========================================= + + +# ========================================= +# \citep{zhang2017ranking} +# Title : A ranking-based strategy to prune variable +# selection ensembles +# Method: PST2E +# ========================================= + + +# ---------------------------------- +# Brief introduction of stochastic stepwise ensembles (ST2E) +# Algorithm 1: +# The stochastic stepwise (ST2) algorithm for variable se- +# lection +# + +# Input : \mathbf{y} nx1 vector +# \mathbf{X} nxp design matrix +# \lambda a parameter to control group size (i.e., +# the number of variables in a group) +# \kappa a parameter to control number of groups +# to assess +# Output: Subset \mathcal{S} a set consists of the selected +# variables + +# Main steps of ST2 +# +# 1. Initialize \mathcal{S}=\emptyset +# the candidate set \mathcal{C} = {X1, X2, ..., Xp} +# the AIC vlaue initial_aic = 10^5, `improve` = 1 +# 2. While `improve` > 0 +# 2a. Implement `forward selection` step: +# [add_aic, add_var] = ForwardSelect( +# y, X, S, C, lambda, kappa) +# 2b. Let S=S\cup{add_var}, C=C\setminus{add_var}, +# `improve` = initial_aic - add_aic, initial_aic=add_aic +# 2c. If S\neq\emptyset, implement `backward selection` step: +# [del_aic, del_var] = BackwardSelect( +# y, X, S, lambda, kappa) +# 2d. Let S=S\setminus{del_var}, C=C\cup{del_var}, +# `improve` = initial_aic - del_aic, initial_aic=del_aic +# 3. EndWhile + + +# ---------------------------------- +# PST2E: a ranking-based strategy to prune ST2E +# Algorithm 2: +# The ST2E algorithm for variable selection +# + +# Input : All inputs of ST2 algorithm (\ie, y, X, lambda and +# kappa) +# B, ensemble size. +# Output: A matrix \mathbf{E}, a matrix of order Bxp storing +# the results of each individual. + +# Main steps of ST2E +# +# 1. Initialize a matrix \mathbf{E} of order Bxp with all ele- +# ments being 0. +# 2. For b = 1,2,...,B +# 2a. Implement ST2 algorithm with y and X: +# S = ST2(y, X, lambda, kappa) +# 2b. Let +# \mathbf{E}(b,j) = { 1, if X_j\in S ; j=1,2,...,p +# { 0, if X_j\notin S, +# 3. EndFor + + +# ---------------------------------- +# PST2E: +# Algorithm 3: +# The novel algorithm PST2E for variable ranking and selection +# + +# Input : All inputs of ST2E algorithm (i.e., +# y,X, lambda, kappa, and B) +# U, size of pruned subensemble +# Output: A matrix \mathbf{E}', a matrix of order Uxp storing +# the results of each individual +# in the pruned ensemble + +# Main steps of PST2E +# +# 1. Initialize a matrix \mathbf{E} of order Bxp with all elements +# being 0. +# 2. Execute ST2E algorithm and store the results in \mathbf{E}: +# \mathbf{E} = ST2E(y, X, lambda, kappa, B) +# 3. For the b-th (b = 1,2,...,B) ensemble member, +# use the selected variables to build a linear regression and +# compute its prediction error Err(b) as +# Err(b) = \frac{1}{n} \sum_{i=1}^n ( +# y_i - \hat{y}_i(b) +# )^2 , t=1,2,...,B +# where \hat{y}_i(b) stands for the estimated value for the +# i-th instance predicted by the t-th model. +# 4. Sort all the ensemble memebers in line with Err(b) (b = 1,2,...,B) +# in descending order. +# 5. Select the U members sorted on top of the ranked list to construct +# a subensemble. In other words, arrange the U rows of \mathbf{E} +# ranked ahead into a new matrix \mathbf{E}'. + + +# ---------------------------------- + + +# ========================================= +# \citep{zhang2020selective} +# Title : On selective learning in stochastic stepwise ensemble +# Method: Pruned-ST2E +# ========================================= + + +# ---------------------------------- +# Brief introduction of stochastic stepwise ensembles (ST2Es) +# + + +# ---------------------------------- +# Pruned-ST2E: novel technique to prune ST2E +# Algorithm 1: +# The proposed Pruned-ST2E algorithm +# + +# Input : \mathbf{y} nx1 vector +# \mathbf{X} nxp design matrix +# \lambda a parameter in ST2 to control group size +# in a step +# \kappa a parameter in ST2 to control number of +# groups to assess +# B size of full ensemble +# U size of pruned subensemble +# Output: Average importance measure computed as +# R(j) = \frac{1}{U} \sum_{r=1}^U \mathbf{E}'(r,j), +# j=1,2,...,p. + +# Main steps of Pruned-ST2E +# +# 1. Initialize a matrix \mathbf{E} of order Bxp with all elements +# being 0. +# 2. For b = 1,2,...,B +# 2a. Provide \mathbf{y} and \mathbf{X} as the input of the ST2 +# algorithm to perform variable selection, i.e., +# \mathcal{S}_b = ST2(X,y,lambda,kappa) +# 2b. Let \mathbf{E}(b,j) = { 1, if X_j \in S_b ; j=1,2,...,p. +# { 0, if X_j\notin S_b, +# 3. EndFor +# 4. Sort all the ensemble members in ascending order according to +# the number of their selected variables, i.e., +# N_b = \sum_{j=1}^p \mathbf{E}(b,j) , b=1,2,...,B. +# 5. Select the U members sorted on top of the ranked list, i.e., +# arrange the U rows of \mathbf{E} ranked ahead into a new +# matrix \mathbf{E}'. + + +# ---------------------------------- + + +# ========================================= +# \citep{zhang2019pruning} +# Title : Pruning variable selection ensembles +# Method: Ensemble Pruning of Stability Selection +# ========================================= + + +# ---------------------------------- + + +# ========================================= +# \citep{xia2018maximum} +# ========================================= + + +# ---------------------------------- +# \citep{xia2018maximum} +# Maximum relevancy maximum complementary based ordered +# aggregation for ensemble pruning +# [now works for mult-class] +# ---------------------------------- +# It has been proven that the problem of ensemble pruning +# is an NP-complete problem [4,5]. + +# binary classification. Y \in {-1,+1}. + + +# Given a set of classifiers $C = \{C_1, C_2, ..., C_m\}$, +# the `relevance score` of the base classifier $C_i$ is: +# Rel_{C_i} = 1 - \frac{ P(C \setminus C_i) }{ P(C) } (1) +# where P(C) denotes the accuracy of ensemble with all the base +# classifiers on the training set, and P(C\C_i) denotes the accuracy +# of ensemble without base classifier C_i. Both of them are between +# 0 and 1. +# Rel_{C_i} reflects the efficacy of the corresponding classifier +# C_i, and could be positive [Ci possesses positive relevancy to the +# class, and removing Ci from the ensemble will reduce the generali- +# zation ability of final ensemble] or negative [Ci possesses nega- +# tive impact, removing it will increase the generalization]. +# The higher score of relevancy is attributed to the more importance +# of the C_i. + +def _relevancy_score(y, yt): + nb_cls = len(yt) + # fens = plurality_voting(y, yt) # weighted_voting(y,yt,coef) + fens = plurality_voting(yt) + PC = np.mean(np.equal(fens, y)) # fens==y + # # + idx = np.ones(shape=(nb_cls, nb_cls), dtype=DTY_BOL) + for i in range(nb_cls): + idx[i][i] = False + yt = np.array(yt) + fidx = [yt[i].tolist() for i in idx] + # fidx = [yt[i] for i in idx] # shape=[[nb_cls-1,] nb_cls] + # fidx = [plurality_voting(y, i) for i in fidx] # [nb_y,nb_cls] + fidx = [plurality_voting(i) for i in fidx] + del yt # fidx ?? check required # checked + # # + PCCi = [np.mean(np.equal(i, y)) for i in fidx] # i==y + PC = check_zero(PC) # RuntimeWarning: divide by zero encountered + Rel_Ci = [1. - i / PC for i in PCCi] # shape: [nb_cls,] + return deepcopy(Rel_Ci), float(PC), deepcopy(PCCi) + + +# In order to derive such a complementary score, we map the original +# dataset $D$ and the ensemble of classifiers $C$ to a new dataset $F$ +# within each feature value $F_ij$ matches with the classification +# owed by base classifier $C_j$ on the instance $(x_i, y_j)$ in $D$, +# and the class label in $F$ is the same as the one in dataset $D$. +# +# Given an already feature set $S$, the complementary of base classifier +# $C_i$ can be obtained as: +# Com_{C_i} = \frac{ P(S\cup C_i) }{ P(S) } - 1 (7) +# where P(S\cup Ci) is the accuracy of the ensemble with all the classi- +# fiers in S and the classifier Ci, P(S) is the accuracy of the ensemble +# with all the classifiers in $S$. $Com_{C_i}$ reflects how much $C_i$ +# contributes to existing sub-ensemble. +# e.g., Com_{C_i}=0.1 implies that the performance of ensemble can be +# increased 10% by adding classifier Ci into the ensemble. + +# Input : $S$ is an empty set, which denotes the set of selected features. +# Output: $F = \{f_1, f_2, ..., f_n\}$ is a set which contains all the +# candidate features. + +def _complementary_score(y, yt, h): + fens = plurality_voting(yt) # y, + hens = plurality_voting(yt + [h]) # y, + PS = np.mean(np.equal(fens, y)) # fens==y + PSCi = np.mean(np.equal(hens, y)) # hens==y + Com_Ci = PSCi / check_zero(PS) - 1. + return float(Com_Ci), float(PS), float(PSCi) + + +# Considering a binary classification problem with class label $CL={-1,+1}$, +# where the feature value in $F$ would either be -1 or +1, a probabilistic +# density function derived from such dataset will not provide essential +# information. +# Given two base classifiers Ci and Cj, the $MI$ is defined as follows: +# MI(C_i,C_j) = \frac{1}{N}\sum_{k=1}^N I(C_i(x_k) = C_j(x_k)) (8) +# where N denotes the number of samples in the training set. Ci(xk) is the +# classification result assigned by classifier Ci to sample \mathbf{x}_k, +# and I(.) is the indicator function (I(true)=1, and I(false)=0). + +def _MRMR_MI_binary(Ci, Cj): + # return np.mean(np.equal(Ci, Cj)) + Ci = np.array(Ci, dtype=DTY_INT) + Cj = np.array(Cj, dtype=DTY_INT) + return np.mean(Ci == Cj) + + +def _MRMR_MI_multiclass(Ci, Cj, y): # CL + Ci_xk = np.equal(Ci, y) + Cj_xk = np.equal(Cj, y) + return np.mean(np.logical_and(Ci_xk, Cj_xk)) + + +def _MRMR_MI(Ci, Cj): # multi-class + ans = np.mean(np.equal(Ci, Cj)) + return float(ans) + + +# Fig.2 The procedure of MRMR +# maximal relevant minimal redundant (MRMR) method +# +# Input : S, is an empty set, which denotes the set of selected features. +# F, ={f1,f2,...,fn}, is a set which contains all the candidate +# features. +# Output: +# +# 1. Select a feature $f_i$ from $F$ which has a maximum mutual informa- +# tion between itself and the target class $CL$, then update $S$ and +# $F$ as follows: +# S = S \cup \{f\} (4) Correct: S\cup{f_i} +# F = F \setminus \{f_i\} (5) +# 2. Select feature $f_i$ from $F$ which satisfies the following condition: +# f_i = \max_{f_i\in F} \{ +# MI(f_i;CL) - \frac{1}{|S|}\sum_{f_j\in S} MI(f_i,f_j) +# \} +# 3. Update $S$ and $F$ according to Eq.(4) and Eq.(5), and repeat step (2) +# until desired number of features is selected. +# + + +# (2) Select feature f_j from F which satisfies the following condition +# f_i = \max_{f_i \in F}\{ +# MI(f_i; CL) - +# \frac{1}{|S|} \sum_{f_j \in S} MI(f_i, f_j) +# \} +# +def _MRMR_subroute(y, yt, fj_in_S, k): + MI_fj_CL = _MRMR_MI(yt[k], y) + MI_fi_fj = [_MRMR_MI(yt[k], yt[j]) for j in fj_in_S] + return MI_fj_CL - np.mean(MI_fi_fj) + + +def procedure_MRMR(y, yt, nb_cls, nb_pru): + S = np.zeros(nb_cls, dtype=DTY_BOL) # init, \emptyset + MI_fi = [_MRMR_MI(fi, y) for fi in yt] + # idx = np.argsort(MI_fi)[-1] # with a maximum mutual information + idx = MI_fi.index(np.max(MI_fi)) # between itself and target class + S[idx] = True + seq = [idx] # seq = [int(idx)] + # # + for _ in range(1, nb_pru): + fi_in_F = np.where(np.logical_not(S))[0] + fj_in_S = np.where(S)[0] # is True + objective = [_MRMR_subroute(y, yt, fj_in_S, i) for i in fi_in_F] + # idx = np.argsort(objective)[-1] + idx = objective.index(np.max(objective)) + idx = fi_in_F[idx] + S[idx] = True + seq.append(idx) # seq.append(int(idx)) + # # + # P = np.where(S)[0] + # return S.tolist(), P.tolist(), deepcopy(seq) + return S.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# ---------------------------------- + + +# After the relevance and complementary scores of each base classifier +# are obtained, we can rank the base classifier according to their +# score, the relevance-complementary score can be computed as follows: +# RC_{C_i} = Rel_{C_i} + Com_{C_i} (9) +# +# The complementary measure can reduce the chance of selecting highly +# related base classifiers. e.g., given Ci and Cj, which provide +# identical classification results on the training set, their relevance +# scores can be expressed as `Rel_{C_i} = Rel_{C_j}`, but according to +# the greedy searching process in Fig.2, the complementary score of C_j +# would be zero. The RC score for C_i will be higher than C_j. + +def _relevance_complementary_score(Rel_Ci, Com_Ci): + # Notice that: there is elementary, i.e., float (input) + return Rel_Ci + Com_Ci # i.e., RC_Ci + + +# Fig.3 The procedure of our proposed ensemble pruning +# Maximum relevancy maximum complementary based ordered +# aggregation for ensemble pruning +# +# Input : D, the training set. +# Output: +# +# 1. Use standard Bagging method to generate an ensemble of $t$ classifiers +# $C = \{ C_1, C_2, ..., C_t \}$ from training set $D$. +# 2. Generate a new dataset $T$ according to the classification resulted by +# each base classifier on the dataset $D$. +# 3. Calculate the relevance score of all features $f_i$ in $T$ using Eq.(1). +# 4. Calculate the complementary score of all the features $f_i$ in $T$ using +# procedure described in Figure 2 and the Eq.(7). +# 5. Calculate the relevance-complementary score $RC$ of all the features us +# -ing (9). Rank all the features in $T$ based on their $RC$ in descending +# order. +# 6. Choosing the $M$ first ordered base classifiers which can maximize the +# evaluation function to form the final ensemble. +# + +def procedure_MRMC_ordered_EP(y, yt, nb_cls, nb_pru, S=None): + # 3. calculate the relevance score using Eq.(1) + Rel_Ci, _, _ = _relevancy_score(y, yt) + # 4. calculate the complementary score using Eq.(7) and Fig.2 + # method 2 (might be totally the same as method 1) + # Com_Ci = [complementary_score(y, yt, h)[0] for h in yt] + # ' '' + # method 1 + if S is None: + S, _ = procedure_MRMR(y, yt, nb_cls, nb_pru) + S = np.array(yt)[S].tolist() + Com_Ci = [_complementary_score(y, S, h)[0] for h in yt] + # ' '' + # # + # 5. calculate the relevance-complementary score RC using Eq.(9) + RC_Ci = [i + j for i, j in zip(Rel_Ci, Com_Ci)] + # 5. rank all the features in T based on their RC in descending order. + sorted_RC_index = np.argsort(RC_Ci)[:: -1] + # 6. choose the M first ordered based classifiers which can maximize + # the evaluation function to form the final ensemble. + seq = sorted_RC_index[: nb_pru].tolist() + S = np.zeros(nb_cls, dtype=DTY_BOL) + S[seq] = True + return S.tolist(), seq # list + + +def procedure_MRMC_EP_with_original_ensemble(y, yt, nb_cls, nb_pru): + Rel_Ci, _, _ = _relevancy_score(y, yt) + Com_Ci = [_complementary_score(y, yt, h)[0] for h in yt] + # Using the original ensemble as the `S`, not specific in the paper + RC_Ci = [i + j for i, j in zip(Rel_Ci, Com_Ci)] + sorted_RC_index = np.argsort(RC_Ci)[:: -1] + seq = sorted_RC_index[: nb_pru].tolist() + S = np.zeros(nb_cls, dtype=DTY_BOL) + S[seq] = True + return S.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# ---------------------------------- + + +# ========================================= +# \citep{li2018mrmr} +# MRMR-based ensemble pruning for facial expression recognition +# [multi-class] +# ========================================= +# +# D : the training data set, =\{(x_1,y_1),...,(x_n,y_n)\} +# n : number of instances in training set D +# m : the generated classifier pool size +# PM: Prediction Matrix (PM), PM=[C_ij], i\in[n], j\in[m] +# where C_ij is the predictive label made by the j-th +# classifier for samle x_i. + + +# ---------------------------------- +# Training set data sampling +# +# Eq.(2) calculate the percentage of the number of classifiers that +# correctly classified a certain data sample over the size of +# generated classifier pool. +# If the percentage was greater than the predefined threshold \beta, +# then the data sample will be retained; otherwise, it will be +# removed: +# +# accept = { 1, if \frac{ \sum_{i=1}^m \mathbb{I}(c_i = y) }{m} > \beta (2) +# { 0, if \frac{ \sum_{i=1}^m \mathbb{I}(c_i = y) }{m} < \beta + + +# ---------------------------------- +# Inspired by MRMR [42], MRMREP aims to select base classifiers which +# own high ability while being minimally redundant. + + +# ---------------------------------- +# Measuring the capability of base classifier +# +# S: a classifier subset with k classifiers, where k R) +# Output: selected subset S +# +# 1. Compute the F-statistic value of each classifier c_i using +# Eq.(7) +# 2. Compute the mutual information between classifier c_i and +# target label Y of each sample, I_{c_i} = I(c_i;Y) +# 3. Compute the Hamming distance of each pair of classifiers +# and construct the distance matrix WD. +# 4. The selection procedure starts with an empty set of classi- +# fiers (S=\emptyset). +# Select the best model into the set according to Eq.(8). +# 5. Repeat L times: +# 6. Find a classifier in the non-selected subset to maximize +# Eq.(12) and include it in S. +# 7. c_i^+ = \argmax_{c_i \notin S_k} \phi(S_k + c_i) +# 8. S_{k+1} = S_k + c_i^+ +# 9. End Repeat +# 10. Repeat R times: +# 11. Find a classifier in S that can maximize the following +# formula, and then remove it from the selected subset. +# 12. c_i^- = \argmax_{c_i \in S_k} \phi(S_k - c_i) +# 13. S_{k+1} = S_k - c_i^- +# 14. End Repeat +# 10. Repeat steps (5) [lines 5--9] and (6) [lines 10--14] until +# all classifiers are included in S in a certain order, and +# then output the ranked list of each classifier. +# + + +def _subroute_MRMREP_init(y, yt, alpha): + # 1. Compute the F-statistic value of each c_i in yt + F_ci = [_MRMREP_F_statistic(y, ci) for ci in yt] + # 2. Compute the mutual information between ci and target + # label Y of each sample. + I_ci = [EntropyI(ci, y) for ci in yt] + # 3. Compute the Hamming distance of each pair of classifiers + WD = _MRMREP_distance_of_each_pair(yt) # the distance matrix + # 4. starts with an empty set of S, choose the best model + # based on Eq.(8) + F_ci = _normalization_min_max(F_ci) + I_ci = _normalization_min_max(I_ci) + D_ci = [(1. - alpha) * i + alpha * j for i, j in zip(I_ci, F_ci)] + idx = D_ci.index(np.max(D_ci)) + # D_ci = [i + j for i, j in zip(F_ci, I_ci)] # D_IF_L + # idx = np.argsort(D_ci)[-1] # max D(I + F, L) + return idx + + +def _subroute_MRMREP_cover(y, yt, alpha, Sk): + # 1) Find a classifier in the non-selected subset to maximize + # formula (12) and include it in S. + idx_not_in_S = np.where(np.logical_not(Sk))[0] + idx_not_in_S = idx_not_in_S.tolist() + if len(idx_not_in_S) == 0: + return -1 + # 2) c_i^+ = \argmax_{c_i \notin S_k} \phi(S_k + c_i) + L_temS = [deepcopy(Sk) for _ in idx_not_in_S] + for i, j in enumerate(idx_not_in_S): + L_temS[i][j] = True + L_tem_phi = [_MRMREP_final_target_function( + y, yt, j, alpha) for j in L_temS] + # # c_i_plus = np.argsort(L_tem_phi)[-1] + c_i_plus = L_tem_phi.index(np.max(L_tem_phi)) + # 3) S_{k+1} = S_k + c_i^+ + return idx_not_in_S[c_i_plus] + + +def _subroute_MRMREP_untie(y, yt, alpha, Sk): + # Might raise ValueError: + # zero-size array to reduction operation minimum which + # has no identity + # when len(Sk) == 1 + # + # 1) Find a classifier in S that can maximize the following + # formula, and then remove it from the selected subset. + idx_in_S = np.where(Sk)[0].tolist() + if len(idx_in_S) == 0: + return -1 + # 2) c_i^- = \argmax_{c_i \in S_k} \phi(S_k - c_i) + L_temS = [deepcopy(Sk) for _ in idx_in_S] + for i, j in enumerate(idx_in_S): + L_temS[i][j] = False + L_tem_phi = [_MRMREP_final_target_function( + y, yt, j, alpha) for j in L_temS] + # # c_i_minus = np.argsort(L_tem_phi)[-1] + c_i_minus = L_tem_phi.index(np.max(L_tem_phi)) + # 3) S_{k+1} = S_k - c_i^- + return idx_in_S[c_i_minus] + + +# encode +# decode # remove +# (leading/tending) +# Using `list.index(np.max(list))` prefers the former individuals +# Using `np.argsort(list)[-1]` tends to choose the latter individual + + +def _MRMREP_selected_subset(y, yt, nb_cls, L, R, alpha=0.5): + # nb_cls == m, number of individual classifiers + # nb_pru == k, number of the pruned sub-ensemble + # PM = np.array(yt).transpose() # [n,m], n instances + # + idx = _subroute_MRMREP_init(y, yt, alpha) + S = np.zeros(nb_cls, dtype=DTY_BOL).tolist() + S[idx] = True + seq = [idx] + # 7. repeat steps 5&6 until all classifiers are included into + # S in a certain order, and then output the ranked list of + # each classifier. + while np.sum(S) < nb_cls: # k + # 5. repeat L times + for _ in range(L): + c_i_plus = _subroute_MRMREP_cover(y, yt, alpha, S) + if c_i_plus == -1: + break + S[c_i_plus] = True + seq.append(c_i_plus) + if np.sum(S) == nb_cls: + break + # 6. repeat R times + for _ in range(R): + c_i_minus = _subroute_MRMREP_untie(y, yt, alpha, S) + if c_i_minus == -1: + break + S[c_i_minus] = False + seq.remove(c_i_minus) + # # + # ' '' + # Basically, like: S = [....] + # L times returns: c1, c2, c3, ..., c_L + # R times returns: C_L, ..., c3, c2, c1 + # That happens for Y \in {-1,+1} or {0,1}, i.e., binary class + # But things change when Y \in {0,1,...,nc-1} + # + # Besides, if L==R, then sum(S) wouldn't change during while + # and it becomes a dead loop. Thus, L>=R+1 + # ' '' + # # + # 7. repeat steps 5 and 6 until all classifiers are included + # into S in a certain order, and then + return deepcopy(seq) + + +def MRMREP_Pruning(y, yt, nb_cls, nb_pru, L=4, R=3, alpha=0.5): + # ! L, R = {3, 2}?? the values are randomly chosen. + ranked_list = _MRMREP_selected_subset(y, yt, nb_cls, L, R, alpha) + seq = ranked_list[: nb_pru] + S = np.zeros(nb_cls, dtype=DTY_BOL) + S[seq] = True + return S.tolist(), seq, ranked_list # list + + +# ---------------------------------- + + +# ========================================= +# \citep{ali2019classification} +# ========================================= + + +# ---------------------------------- +# \citep{ali2019classification} +# ---------------------------------- + + +# Algorithm 1 [31]: DCA for solving problem (14) +# +# Input : +# Output: +# +# 1. Initialize (x^0, y^0) \in \Omega, k <-- 0 +# 2. repeat +# 3. Compute \bar{x}^k \in \partial h(x^k) +# \forall i=1,...,n +# \bar{y_i}^k \in -\rho \partial (-r)(y_i^k) +# 4. Compute x^{k+1} \in \argmin_{x\in C}\{ +# g(x)- <\bar{x}^k,x> + <\bar{y}^k,|x|> +# \} +# \bar{y_i}^{k+1} = |x_i^{k+1}| +# \forall i=1,...,n. +# 5. k <-- k+1 +# 6. until Stopping criterion +# + + +# Algorithm 2: Ensemble Pruning by DCA +# +# Input : E:= Ensemble of Classifiers, (\rho, \theta), Threshold +# Output: Model Performance +# Notice: \rho \in {0.001, 0.1, 10, 10^2, 10^3, 10^4, 10^5} of 7 values +# \theta\in {0.001, 0.01, 0.5, 1, 10, 100, 500} of 7 values +# +# 1. Calculate Accuracy-Diversity Matrix $D$ by Eq.(8) on TRAINING data +# 2. For all (\rho, \theta) do +# 3. Solve the problem (14) by Algorithm 1 on TRAINING data +# 4. Find the indices $\mathbf{I}$:= (x(:) >= Threshold) +# 5. Select the classifiers corresponding to those indices $\mathbf{I}$ +# and construct subensemble $S_{(\rho,\theta)} \subset E$ by using +# $\mathbf{I}$ +# 6. Predict on VALIDATION set with the models in the subensemble +# $S_{(\rho,\theta)}$ +# 7. Aggregate predictions of all classifiers in the ensemble +# $S_{(\rho,\theta)}$ by VOTING +# 8. Calculate Error Matrix $Err_{(\rho, \theta)}$ +# 9. End For +# 10. Select the best $(\rho^*, \theta^*)$ with the least error from +# $Err_{(\rho,\theta)}$ and select the corresponding subset +# $S^*_{(\rho^*,\theta^*)} \subset E$ +# 11. Prediction on TEST set with the best subensemble +# $S^*_{(\rho^*,\theta^*)}$ +# 12. Aggregate predictions of all classifiers in the subensemble +# $S^*_{^*,^*}$ by VOTING +# 13. Compute the error, Area Under Curve, Sensitivity +# + + +# ---------------------------------- +# \citep{cao2018optimizing} +# Optimizing multi-sensor deployment via ensemble pruning for +# wearable activity recognition +# [multi-class] +# ---------------------------------- +# +# training set, compose of N labeled instances +# \mathbf{X} = {(\mathbf{x}_i, y_i)}_{i=1}^N +# component classifiers, generated by ensemble approaches +# H = {h_t} (t=1,2,...T) +# using majority voting [correct, plurality voting] +# +# Let S_u and L_u denote the current selected classifier set by pru- +# ning and current left classifier set in H at the u-th iteration, +# respectively. +# Obviously, we have H = S_u \cup L_u, and u = 1,2,...,T. + + +# Reduce-Error pruning (RE) + +# Complementarity measure +# \citep{martinez2004aggregation, martinez2009analysis} + + +# mRMR and disc pruning +# minimal redundancy and maximal relevance (mRMR) algorithm +# +# mRMR ensemble_pruning +# 1. starts with the individual classifier s_1 whose training +# accuracy is the highest +# 2. according to mRMR approach, the s_u selected for +# sub-ensemble S_u can be proposed as: +# s_u = \argmax_k[ +# I(h_k;Y) - +# \frac{1}{u-1} \sum_{h_i \in S_{u-1}} I(h_k;h_i) +# ] +# in which I(m;n) is the mutation information of variable m +# and n. Y is target class; the index k \in L_{u-1} and +# S_u = S_{u-1} \cup {s_u} +# +def mRMR_ensemble_pruning(y, yt, nb_cls, nb_pru): + # starts with the individual classifier (best accuracy) + acc = [np.mean(np.equal(y, i)) for i in yt] + idx = acc.index(np.max(acc)) # idx = np.argsort(acc)[-1] + P = np.zeros(nb_cls, dtype=DTY_BOL) + P[idx] = True + seq = [idx] # seq.append(int(idx)) + # # + # mRMR to choose s_u + for _ in range(2, nb_pru + 1): # for u in range(2, nb_pru+1): + S_u = np.where(P)[0] # pruned sub- # selected individuals + L_u = np.where(np.logical_not(P))[0] # left individuals + term_left = [EntropyI(yt[k], y) for k in L_u] + term_right = [] + for k in L_u: + temp = [EntropyI(yt[k], yt[i]) for i in S_u] + # BUG! temp = np.sum(temp) / (u - 1.) + temp = np.mean(temp) + term_right.append(temp) + term = [i - j for i, j in zip(term_left, term_right)] + # idx = np.argsort(term); idx = L_u[idx[-1]] + idx = term.index(np.max(term)) + idx = L_u[idx] + P[idx] = True + seq.append(idx) + return P.tolist(), deepcopy(seq) # list + + +# Disc ensemble pruning +# +# discriminative pruning criterion: +# s_u = \argmax_k[ +# I(h_k^{mis}; Y^{mis}) + +# \frac{1}{u-1} \sum_{h_i \in S_{u-1}} +# I(h_k^{cor}; h_i^{cor}) +# ] +# in which h_k^{mis} and h_k^{cor} is misclassified instance part +# and correctly classified instance part of h_k by S_{u-1} respec- +# tively; Y^{mis} is the misclassified instance part of target +# class; the index k\in L_{u-1} and S_u=S_{u-1}\cup{s_u}. +# +# # def Disc_EP_subroute(hk, hi_y, y, hparam='mis'): +# # # input : np.ndarry, [different from others, all list] +# # if hparam == 'mis': +# # idx = hk != y +# # elif hparam == 'cor': +# # idx = hk == y +# # return +# # +def Disc_ensemble_pruning(y, yt, nb_cls, nb_pru): + # starts with the individual classifier (best accuracy) + acc = [np.mean(np.equal(y, i)) for i in yt] + idx = acc.index(np.max(acc)) # idx = np.argsort(acc)[-1] + P = np.zeros(nb_cls, dtype=DTY_BOL) + P[idx] = True + seq = [idx] # seq.append(int(idx)) + # # + # Disc to choose + y, yt = np.array(y), np.array(yt) # DTY_FLT + for _ in range(2, nb_pru + 1): # for u in + S_u = np.where(P)[0] # pruned sub- # selected individuals + L_u = np.where(np.logical_not(P))[0] # left individuals + term_left, term_right = [], [] + for k in L_u: + hk = yt[k] # np.array(yt[k]) + cor_idx = hk == y # np.equal(hk, y) + # mis_idx = hk != y # = ~cor_idx + # # + # Entropy_I(h_k^{mis}; Y^{mis}) + temp_left = EntropyI(hk[~cor_idx].tolist(), + y[~cor_idx].tolist()) + term_left.append(temp_left) + # Entropy_I(h_k^{cor}; h_i^{cor}) + temp_righ = [hi[cor_idx].tolist() for hi in yt[S_u]] + temp_righ = [EntropyI(hk[cor_idx].tolist(), + hi) for hi in temp_righ] + # BUG! temp_righ = np.sum(temp_righ) / (u - 1.) + temp_righ = np.mean(temp_righ) + term_right.append(temp_righ) + # # # + term = [i + j for i, j in zip(term_left, term_right)] + # idx = np.argsort(term); idx = L_u[idx[-1]] + idx = term.index(np.max(term)) + idx = L_u[idx] + P[idx] = True + seq.append(idx) + return P.tolist(), deepcopy(seq) + +# Notice: +# Disc_ensemble_pruning might: +# UnboundLocalError: local variable 'i' referenced before assignment +# core/data_entropy.py: line 175 px,_=prob(X); line 93, del X,dX,i +# Reasons could be: +# np.sum(np.equal(y, fens)) == 0 +# or some fx in yt, np.sum(np.equal(fx, y)) == 0 + + +# ---------------------------------- + + +# ========================================= +# \citep{zhang2019two} +# Two-Stage Bagging Pruning for Reducing the Ensemble Size and +# Improving the Classification Performance +# [multi-class] +# ========================================= + + +# ---------------------------------- +# ---------------------------------- + + +def _subroute_TwoStage_OBi(y_trn, indices): + nb_y = set(range(len(y_trn))) + OB_i = [list(nb_y - set(i)) for i in indices] + return OB_i + + +# def subroute_TwoStage_checkTaTd(ta, td): +# return ta, td + + +def _subroute_TwoStage_checkAC(ta): + if not (0 <= ta <= 9): + ta = min(max(ta, 0), 9) + # ta \in {0,1,...,9} + return ta + + +def _subroute_TwoStage_checkDIS(td): + if not (1 <= td <= 10): + td = min(max(td, 1), 10) + # td \in {1,2,...,10} + return td + + +# ---------------------------------- +# ---------------------------------- + + +# ---------------------------------- +# 3.1 Accuracy-Based Pruning Method (AP) +# +# Algorithm 2: Accuracy based pruning for bagging +# Input : D- training set, +# {D_i}- bootstrap subsets from D, +# ES- number of base models or subsets, +# {m_i}- a set of base models. +# Output: RM- a reduced set of base models, +# PB- a pruned bagging ensemble +# +# 1. Initialize RM = \emptyset. +# 2. Collect the subsets of out-of-bag samples as +# OB_i = D - D_i, i=1,2,...,ES +# 3. Calculate the accuracy AC_i for each base model m_i +# tested on the OB_i, i=[ES] +# 4. Given a parameter ta\in{0,1,2,...,9}, compute the +# threshold T, which is the ta-th decile value of the +# set {AC_i | i=1,2,...,ES} +# 5. For i\in {1,2,...,ES} do: +# 6. if AC_i >= T: +# 7. RM = RM \cup {m_i} +# 8. The outcome PB(x) of a test sample x predicted by the +# pruned ensemble PB is given as follows: +# PB(x) = majority class in {bm(x) | bm \in RM} +# + +# For a given parameter `ta`, it is easy to know that +# `floor( (ta/10)*ES )` base model will be excluded out of +# the original ensemble and the size of reduced classifier +# set is equal to `ES - floor( (ta/10)*ES )`. +# +# rho = nb_pru / nb_cls & nb_pru = ceil(nb_cls * rho) +# Then remove would be floor(nb_cls * (1 - rho)) +# ta = (1 - rho) * 10 +# ta = np.round((1-rho)*10) --> int +# ta = max(ta, 0) and min(ta, 9) +# Notice that: +# 1/nb_cls < 1-rho < 1 (1-rho)*10 \in (10/nb_cls, 10) + + +def _subroute_TwoStage_AccuracyBased(y_trn, y_insp, OB_i): + y, yt = np.array(y_trn), np.array(y_insp) + if all([len(i) > 0 for i in OB_i]): + # y, yt = np.array(y_trn), np.array(y_insp) + AC_i = [np.mean(yt[i][idx] == y[idx]) for i, idx in enumerate(OB_i)] + return AC_i + # else: + # # y_trn, y_insp = np.array(y_trn), np.array(y_insp) + # # y_val, y_cast = np.array(y_val), np.array(y_cast) + # # # + AC_i, nb_trn = [], len(y_trn) + for i, idx in enumerate(OB_i): + # ' '' + # tem = np.random.randint(nb_trn, size=nb_trn).tolist() if not idx else idx + # tem = list(set(range(nb_trn)) - set(tem)) if not idx else idx + # tem = np.mean(y_insp[i] == y_trn) if not tem else np.mean(y_insp[i][tem] == y_trn[tem]) + # ' '' + tem = idx + if not tem: + tem = np.random.randint(nb_trn, size=nb_trn).tolist() + tem = list(set(range(nb_trn)) - set(tem)) + if tem: + tem = np.mean(yt[i][tem] == y[tem]) + else: # tem == [] # not tem + tem = np.mean(yt[i] == y) + # or: tem = 0.0 + # or: tem = np.mean(y_cast[i] == y) using np.ndarray + AC_i.append(float(tem)) + # # # + del nb_trn, y, yt + return deepcopy(AC_i) + + +def TwoStagePruning_AccuracyBasedPruning( + y_trn, y_insp, nb_cls, indices, ta=3): + # 1. Initialize RM = \emptyset. + ''' + P = np.zeros(nb_cls, dtype=DTY_BOL) # RM + seq = [] + ''' + # 2. Collect the subsets of out-of-bag samples as + # OB_i = D - D_i, i=1,2,...,ES + OB_i = _subroute_TwoStage_OBi(y_trn, indices) + # + # 3. Calculate the accuracy AC_i for each base model + # m_i tested on the OB_i, i=1,2,...,ES. + AC_i = _subroute_TwoStage_AccuracyBased(y_trn, y_insp, OB_i) + # + # 4. Given a parameter ta\in{0,1,2,...,9}, compute the + # threshold T, which is the $ta$-th decile value of + # the set {AC_i | i=1,2,...,ES} + if not (0 <= ta <= 9): + # ta = max(ta, 0); ta = min(ta, 9) + ta = min(max(ta, 0), 9) + T = np.percentile(AC_i, ta * 10) # threshold + # Note: ta\in {0,1,2,..,9} i.e., ta-th decide value of set AC_i + # + # 5. for i\in {1,2,...,ES} do: + # 6. if AC_i >= T: + # 7. RM = RM \cup {m_i} + # ''' + # for i in range(nb_cls): + # if AC_i[i] >= T: + # P[i] = True + # seq.append(i) + # ''' + # # + # 8. The outcome PB(x) of a test sample x predicted by + # the pruned ensemble PB is given as follows: + # PB(x) = majority class in {bm(x) | bm\in RM} + # ''' + # return P.tolist(), deepcopy(seq) # list + # ''' + # # + P = np.array(AC_i) >= T + seq = np.where(P)[0].tolist() + return P.tolist(), seq # list + + +# ---------------------------------- +# 3.2 Distance-Based Pruning Method (DP) +# +# Algorith 3: Distance based pruning for bagging algorithm. +# Input : D- training set, +# {D_i}- subsets sampled from D, +# {m_i}- a set of base models, +# ES- number of base models or subsets, +# x- feature vector representing a test sample +# Output: RM- a reduced set of base models, +# PB- a pruned bagging ensemble +# +# 1. Collect the subsets of out-of-bag samples as +# OB_i = D - D_i, i=1,2,...,maxiter. +# 2. Calculate the center of each OB_i, as C_i, i=1,2,...,maxiter +# 3. Calculate the Euclidean distance d_i = ||x - C_i|| from +# the test sample x to each center of OB_i, i=1,2,...,ES. +# 4. Given a parameter td\in{1,2,...,10}, compute the threshold +# T, which is the $td$-th decile value of the set +# DIS = {d_i | i=1,2,...,ES}. +# 5. Initialize RM = \emptyset. +# 6. For i \in {1,2,...,ES} do: +# 7. if d_i <= T: +# 8. RM = RM \cup {m_i} +# 9. The outcome PB(x) of a test sample x predicted by the pruned +# ensemble PB is given as follows: +# PB(x) = majority class in {bm(x) | bm \in RM} +# + +# Briefly, we first compute the center of an out-of-bag sample +# set OB_i as follows: +# C_i = \frac{1}{n_i} \sum_{p \in OB_i} p, +# i = 1,2,...,ES (4) +# where n_i = |OB_i| is the size of the out-of_bag sample set OB_i. + +# For any new test sample x, the Euclidean distance \mathbf{d}_i +# from the test sample x to each center of OB_i was calculated as +# \mathbf{d}_i = ||x - C_i|| (5) + +# Similarly as the AP procedure, the selection of base models was +# executed according to a decile parameter 𝑡𝑑 ∈ +# {1,2, 3, 4, 5, 6,7, 8, 9,10}. If 𝑑𝑖 is larger than a threshold 𝑇, +# which is calculated as the 𝑡𝑑-th decile in the set 𝐷𝐼𝑆 = {𝑑𝑖 | +# 𝑖 = 1, 2, .., 𝐸𝑆}, the basemodel 𝑚𝑖 will be excluded out of the +# original bagging ensemble; otherwise, it will be retained. +# +# Removed: (10-td)/10 * 100% +# Saved : rho = 1 - (10-td)/10 = 1 - (1-td/10) = td/10 +# Then td = np.round( (nb_pru / nb_cls) * 10 ) --> 10 +# td = max(td, 1) and min(td, 10) +# +# `floor( (1-td/10) *ES )` base model will be excluded out of the +# original ensemble and the size of reduced classifier set is equal +# to `ES - floor( (1-td/10) *ES )`. + + +def _subroute_TwoStage_DistanceBased_inst(X_trn, X_val, OB_i): + X_trn = np.array(X_trn) # DTY_FLT + X_val = np.array(X_val) # DTY_FLT + if all([len(i) > 0 for i in OB_i]): + # C_i = [np.mean(X_trn[i], axis=0) for i in OB_i] + C_i = [np.mean(X_trn[idx], axis=0) for idx in OB_i] + else: + C_i, nb_trn = [], len(X_trn) + for i, idx in enumerate(OB_i): + # ' '' + # tem = np.random.randint(nb_trn, size=nb_trn).tolist() if not idx else idx + # tem = list(set(range(nb_trn)) - set(tem)) if not idx else idx + # tem = np.mean(X_trn, axis=0) if not tem else np.mean(X_trn[tem], axis=0) + # ' '' + tem = idx + if not tem: + tem = np.random.randint( + nb_trn, size=nb_trn).tolist() + tem = list(set(range(nb_trn)) - set(tem)) + if tem: + tem = np.mean(X_trn[tem], axis=0) + else: + tem = np.mean(X_trn, axis=0) + C_i.append(deepcopy(tem)) + # # # + # C_i: shape= [(nb_feat,) nb_cls] = (nb_cls, nb_feat) + d_i = [np.sqrt(np.sum((X_val - i)**2, axis=1)) for i in C_i] + d_i = [np.mean(i) for i in d_i] # all test instances --> one + # # # + del X_trn, X_val + C_i = [i.tolist() for i in C_i] # or np.array(C_i).tolist() + return C_i, d_i # list + + +def _subroute_TwoStage_DistanceBased(y_trn, y_insp, OB_i, y_cast): + y, yt = np.array(y_trn), np.array(y_insp) + if all([len(i) > 0 for i in OB_i]): + C_i = [yt[:, idx].mean(axis=1).tolist() for idx in OB_i] + else: + C_i, nb_trn = [], len(y_trn) + for i, idx in enumerate(OB_i): + tem = idx + if not tem: + tem = np.random.randint(nb_trn, size=nb_trn).tolist() + tem = list(set(range(nb_trn)) - set(tem)) + if tem: + tem = yt[:, tem].mean(axis=1).tolist() + else: + tem = yt.mean(axis=1).tolist() + # or: tem = [0.0 for _ in range(nb_cls)] + # or: tem = y_cast.mean(axis=1).tolist() by np.ndarray + C_i.append(deepcopy(tem)) + # C_i: shape= (nb_cls, nb_cls) + # # # + ys = np.array(y_cast) # DTY_FLT + d_i = [] + for Ci_val in C_i: # shape=(nb_cls,) + ai_val = np.array([Ci_val]).T # shape=(nb_cls,1) + di_val = np.sqrt(np.sum((ys - ai_val)**2, axis=0)) + # # di_val = np.mean(di_val, axis=1) # shape=(nb_cls,) + # ''' + # di_val = (ys - ai_val)**2 # shape=(nb_cls, nb_val) + # di_val = np.sum(di_val, axis=0) # shape=(nb_val,) + # di_val = np.sqrt(di_val) # shape=(nb_val,) + # ''' + di_val = np.mean(di_val) # scalar + d_i.append(di_val) # np.float64 + # d_i: shape= (nb_cls,) + # # # + del ai_val, di_val, y, yt, ys + return deepcopy(C_i), deepcopy(d_i) + + +def TwoStagePruning_DistanceBasedPruning(y_trn, y_insp, nb_cls, indices, td, + y_cast): # X_trn, X_val): + # 1. Collect the subsets of base models, PB- a pruned + # bagging ensemble + ''' + P = np.zeros(nb_cls, dtype=DTY_BOL) # RM + seq = [] + ''' + # 2. Calculate the center of each OB_i as C_i, + # i=1,2,...,maxiter + OB_i = _subroute_TwoStage_OBi(y_trn, indices) + # + # 3. Calculate the Euclidean distance d_i=\|x-C_i\| from + # the test sample x to each center of OB_i, i=1,2,..,ES. + # # + C_i, d_i = _subroute_TwoStage_DistanceBased(y_trn, y_insp, OB_i, y_cast) + # 4. Given a parameter td\in {1,2,...,10}, compute the + # threshold T, which is the $td$-th decile value of the + # set DIS={d_i | i=1,2,...,ES} + if not (1 <= td <= 10): + # td = max(td, 1); td = min(td, 10) + td = min(max(td, 1), 10) + T = np.percentile(d_i, td * 10) # threshold + # Note that: td \in {1,2,...,10} + # + # 5. Initialize RM = \emptyset. + # 6. for i \in {1,2,...,ES} do: + # 7. if d_i <= T: + # 8. RM = RM \cup {m_i} + # ''' + # for i in range(nb_cls): + # if d_i[i] <= T: + # P[i] = True + # seq.append(i) + # ''' + # # # + # 9. The outcome PB(x) of a test sample x predicted by the + # pruned ensemble PB is given as follows: + # PB(x) = majority class in {bm(x) | bm \in RM} + # ''' + # return P.tolist(), deepcopy(seq) + # ''' + # # # + P = np.array(d_i) <= T + seq = np.where(P)[0].tolist() + return P.tolist(), seq # list + + +# ---------------------------------- +# 3.3 Two-Stage Pruning on the Bagging Algorithm [TSP] + + +# ---------------------------------- +# ---------------------------------- + + +# ---------------------------------- +# +# Algorithm 4: Two-stage pruning for "AP+DP" +# Input: 𝑅𝑀- a reduced set of base models generated by the +# AP procedure, +# 𝑃- number of base models in 𝑅𝑀, +# {𝑖1, 𝑖2, . . . , 𝑖𝑃}- index set of base models in 𝑅𝑀, +# 𝑥- feature vector of a test sample +# Output: 𝑅𝑀2- a reduced set of base models, +# 𝑃𝐵2- a pruned bagging ensemble +# +# 1 Given a parameter 𝑡𝑑 ∈ {1, 2, . . . , 10}, compute the +# threshold 𝑇, which is the td-th decile value of the set +# 𝐷𝐼𝑆 = {𝑑𝑘 | 𝑘 ∈ {𝑖1, 𝑖2, . . . , 𝑖𝑃}}. +# 2 Initialize 𝑅𝑀2 = 0. +# 3 for 𝑘 ∈ {𝑖1, 𝑖2, . . . , 𝑖𝑃} do: +# 4 if 𝑑𝑘 ≤ 𝑇: +# 5 𝑅𝑀2 = 𝑅𝑀2 ∪{𝑚 𝑘} +# 6 The outcome 𝑃𝐵2(𝑥) of a test sample 𝑥 predicted by the +# pruned ensemble 𝑃𝐵2 is given as follows: +# 𝑃𝐵2(𝑥) = majority class in {𝑏𝑚(𝑥) | 𝑏𝑚 ∈ 𝑅𝑀2} +# + +def TwoStagePruning_APplusDP(y_trn, y_insp, nb_cls, indices, + ta, td, y_cast): + OB_i = _subroute_TwoStage_OBi(y_trn, indices) + # # + # 1. Accuracy-based + AC_i = _subroute_TwoStage_AccuracyBased(y_trn, y_insp, OB_i) + ta = _subroute_TwoStage_checkAC(ta) + T = np.percentile(AC_i, ta * 10) # threshold + PA = np.array(AC_i) >= T + # 2. Distance-based + y_insp = np.array(y_insp)[PA].tolist() + y_cast = np.array(y_cast)[PA].tolist() + OB_i = [v for k, v in zip(PA, OB_i) if k] # OB_j + _, DIS_i = _subroute_TwoStage_DistanceBased(y_trn, y_insp, OB_i, y_cast) + td = _subroute_TwoStage_checkDIS(td) + T = np.percentile(DIS_i, td * 10) # threshold + PD = np.array(DIS_i) <= T + # # + # 3. Gathering + PA = np.where(PA)[0].tolist() + PD = np.where(PD)[0].tolist() + PD = [PA[i] for i in PD] + SH = np.zeros(nb_cls, dtype=DTY_BOL) + SH[PD] = True + return SH.tolist(), deepcopy(PA), deepcopy(PD) + + +# ---------------------------------- +# +# Algorithm 5: Two-stage pruning for "DP+AP" +# Input: 𝑅𝑀- a reduced set of base models generated by DP +# procedure for a specific test sample 𝑥, +# 𝑃- number of base models in 𝑅𝑀, +# {𝑖1, 𝑖2, . . . , 𝑖𝑃}- index set of base models in 𝑅𝑀 +# Output: 𝑅𝑀2- a reduced set of base models, +# 𝑃𝐵2- a pruned bagging ensemble +# +# 1 Given a parameter ta∈ {0, 1, 2, . . . , 9}, compute the +# threshold 𝑇, which is the ta-th decile value of the set +# {𝐴𝐶𝑘 | 𝑘 ∈ {𝑖1, 𝑖2, . . . , 𝑖𝑃}}. +# 2 Initialize 𝑅𝑀2 = 0. +# 3 for 𝑘 ∈ {𝑖1, 𝑖2, . . . , 𝑖𝑃} do: +# 4 if 𝐴𝐶𝑘 ≥ 𝑇: +# 5 𝑅𝑀2 = 𝑅𝑀2 ∪{𝑚 𝑘} +# 6 The outcome 𝑃𝐵2(𝑥) of a test sample 𝑥 predicted by the +# pruned ensemble 𝑃𝐵2 is given as follows: +# 𝑃𝐵2(𝑥) = majority class in {𝑏𝑚(𝑥) | 𝑏𝑚 ∈ 𝑅𝑀2} +# + +def TwoStagePruning_DPplusAP(y_trn, y_insp, nb_cls, indices, + ta, td, y_cast): + OB_i = _subroute_TwoStage_OBi(y_trn, indices) + # # + # 1. Distance-based + _, DIS_i = _subroute_TwoStage_DistanceBased(y_trn, y_insp, OB_i, y_cast) + td = _subroute_TwoStage_checkDIS(td) + T = np.percentile(DIS_i, td * 10) + PD = np.array(DIS_i) <= T + # 2. Accuracy-based + y_insp = np.array(y_insp)[PD].tolist() + OB_i = [v for k, v in zip(PD, OB_i) if k] # OB_j + AC_i = _subroute_TwoStage_AccuracyBased(y_trn, y_insp, OB_i) + ta = _subroute_TwoStage_checkAC(ta) + T = np.percentile(AC_i, ta * 10) + PA = np.array(AC_i) >= T + # # + # 3. Gathering + PD = np.where(PD)[0].tolist() + PA = np.where(PA)[0].tolist() + PA = [PD[i] for i in PA] + SH = np.zeros(nb_cls, dtype=DTY_BOL) + SH[PA] = True + return SH.tolist(), deepcopy(PD), deepcopy(PA) + + +# ---------------------------------- +# ---------------------------------- +# Previously +# Original Version in the paper + + +def TwoStagePrev_DistanceBasedPruning(y_trn, y_insp, nb_cls, indices, + td, X_trn, X_val): + OB_i = _subroute_TwoStage_OBi(y_trn, indices) + _, DIS_i = _subroute_TwoStage_DistanceBased_inst(X_trn, X_val, OB_i) + td = _subroute_TwoStage_checkDIS(td) + T = np.percentile(DIS_i, td * 10) + P = np.array(DIS_i) <= T + seq = np.where(P)[0].tolist() + return P.tolist(), seq + + +def TwoStagePreviously_AP_plus_DP(y_trn, y_insp, nb_cls, indices, + ta, td, X_trn, X_val): + # 1. Accuracy-based + OB_i = _subroute_TwoStage_OBi(y_trn, indices) + AC_i = _subroute_TwoStage_AccuracyBased(y_trn, y_insp, OB_i) + ta = _subroute_TwoStage_checkAC(ta) + T = np.percentile(AC_i, ta * 10) + PA = np.array(AC_i) >= T + # 2. Distance-based + OB_i = [v for k, v in zip(PA, OB_i) if k] + _, DIS_i = _subroute_TwoStage_DistanceBased_inst(X_trn, X_val, OB_i) + td = _subroute_TwoStage_checkDIS(td) + T = np.percentile(DIS_i, td * 10) + PD = np.array(DIS_i) <= T + # 3. Gathering + PA = np.where(PA)[0].tolist() + PD = [v for k, v in zip(PD, PA) if k] + SH = np.zeros(nb_cls, dtype=DTY_BOL) + SH[PD] = True + return SH.tolist(), PA, PD + + +def TwoStagePreviously_DP_plus_AP(y_trn, y_insp, nb_cls, indices, + ta, td, X_trn, X_val): + # 1. Distance-based + OB_i = _subroute_TwoStage_OBi(y_trn, indices) + _, DIS_i = _subroute_TwoStage_DistanceBased_inst(X_trn, X_val, OB_i) + td = _subroute_TwoStage_checkDIS(td) + T = np.percentile(DIS_i, td * 10) + PD = np.array(DIS_i) <= T + # 2. Accuracy-based + y_insp = np.array(y_insp)[PD].tolist() + OB_i = [v for k, v in zip(PD, OB_i) if k] + AC_i = _subroute_TwoStage_AccuracyBased(y_trn, y_insp, OB_i) + ta = _subroute_TwoStage_checkAC(ta) + T = np.percentile(AC_i, ta * 10) + PA = np.array(AC_i) >= T + # 3. Gathering + PD = np.where(PD)[0].tolist() + PA = [v for k, v in zip(PA, PD) if k] + SH = np.zeros(nb_cls, dtype=DTY_BOL) + SH[PA] = True + return SH.tolist(), PD, PA + + +# ---------------------------------- +# ---------------------------------- + +# ========================================= +# Existing EP Methods +# Lately / Latest +# ========================================= + + +# ---------------------------------- +# contrastive +# ---------------------------------- + + +def contrastive_pruning_lately(name_pru, nb_cls, nb_pru, + y_trn, y_val, y_insp, y_cast, + alpha=0.5, L=3, R=2, **kwargs): + # L=3,R=2, ta=4,tb=6 + rho = nb_pru / nb_cls + ta = int(np.round((1. - rho) * 10)) + td = int(np.round(rho * 10)) + flag = True if len(y_val) == 0 else False + if flag: + y_val, y_cast = deepcopy(y_trn), deepcopy(y_insp) + + # ordering-based, MRMC-ordered-aggregation pruning + if name_pru == "MRMC-MRMR": + P, seq = procedure_MRMR(y_val, y_cast, nb_cls, nb_pru) + elif name_pru == "MRMC-MRMC": + P, seq = procedure_MRMC_ordered_EP(y_val, y_cast, nb_cls, nb_pru) + elif name_pru == "MRMC-ALL": + P, seq = procedure_MRMC_EP_with_original_ensemble( + y_val, y_cast, nb_cls, nb_pru) + + # optimization-based, \citep{li2018mrmr} + elif name_pru == "MRMREP": + P, seq, _ = MRMREP_Pruning(y_val, y_cast, nb_cls, nb_pru, + L=L, R=R, alpha=alpha) + + # \citep{cao2018optimizing} + elif name_pru == "mRMR-EP": + P, seq = mRMR_ensemble_pruning(y_val, y_cast, nb_cls, nb_pru) + elif name_pru == "Disc-EP": + P, seq = Disc_ensemble_pruning(y_val, y_cast, nb_cls, nb_pru) + + # \citep{zhang2019two} + elif name_pru == "TSP-AP": + P, seq = TwoStagePruning_AccuracyBasedPruning( + y_trn, y_insp, nb_cls, ta=ta, **kwargs) + # NOTICE: might len(seq)==nb_cls + # when all individuals have zero error rate. + # Only 'TSP-AP' would make mistake like that. + # # + if sum(P) == len(seq) >= nb_cls: + AC_i = np.mean(np.equal(y_cast, y_val), axis=1).tolist() + T = np.percentile(AC_i, min(max(ta, 0), 9) * 10) + P = np.array(AC_i) >= T + seq = np.where(P)[0].tolist() + del AC_i, T + # # # # + elif name_pru == "TSP-DP": + P, seq = TwoStagePruning_DistanceBasedPruning( + y_trn, y_insp, nb_cls, td=td, y_cast=y_cast, **kwargs) + elif name_pru == "TSP-AP+DP": + P, _, seq = TwoStagePruning_APplusDP( + y_trn, y_insp, nb_cls, ta=td, td=ta, y_cast=y_cast, + **kwargs) + elif name_pru == "TSP-DP+AP": + P, _, seq = TwoStagePruning_DPplusAP( + y_trn, y_insp, nb_cls, ta=td, td=ta, y_cast=y_cast, + **kwargs) + # # params: + # "TSP-AP": y_trn,y_insp, nb_cls, `indices`, ta + # "TSP-DP": y_trn,y_insp, nb_cls, `indices`, td, y_cast + # "TSP-AP+DP", "TSP-DP+AP": + # y_trn,y_insp, nb_cls, `indices`, ta,td, y_cast + + # exactly in \citep{zhang2019two} + elif name_pru == "TSPrev-DP": + P, seq = TwoStagePrev_DistanceBasedPruning( + y_trn, y_insp, nb_cls, td=td, **kwargs) + elif name_pru == "TSPrev-AD": # "TSPrevADP" + P, _, seq = TwoStagePreviously_AP_plus_DP( + y_trn, y_insp, nb_cls, ta=td, td=ta, **kwargs) + elif name_pru == "TSPrev-DA": # "TSPrevDAP" + P, _, seq = TwoStagePreviously_DP_plus_AP( + y_trn, y_insp, nb_cls, ta=td, td=ta, **kwargs) + # # PARAMS: + # "TSPrev-DP": y_trn,y_insp, nb_cls, `indices`, td, X_trn,X_val + # "TSPrev-AD", "TSPrev-DA": + # y_trn,y_insp, nb_cls, `indices`, ta,td, X_trn,X_val + # # NOTICE: + # ``ta=td, td=ta`` is on purpose, to keep more indivi- + # duals, or it might keep only one after pruning. + + else: + raise UserWarning("Error occurred in `contrastive_pruning_lately`.") + + if len(seq) == 0: + idx = np.random.randint(nb_cls) + # NOTICE: + P[idx] = True + seq.append(idx) + # for rebustness in `TSP-?` etc. + + ys_cast = np.array(y_cast)[P].tolist() if not flag else [] + ys_insp = np.array(y_insp)[P].tolist() + return ys_insp, ys_cast, P, seq + + +def contrastive_pruning_lately_validate( + name_pru, nb_cls, nb_pru, y_trn, y_val, y_insp, y_cast, + y_pred, coef, clfs, alpha=0.5, L=4, R=3, **kwargs): + since = time.time() + ys_insp, ys_cast, P, seq = contrastive_pruning_lately( + name_pru, nb_cls, nb_pru, y_trn, y_val, y_insp, y_cast, + alpha=alpha, L=L, R=R, **kwargs) + time_elapsed = time.time() - since + + ys_pred = np.array(y_pred)[P].tolist() + opt_coef = np.array(coef)[P].tolist() + opt_clfs = [cj for i, cj in zip(P, clfs) if i] + space_cost__ = asizeof(opt_clfs) + asizeof(opt_coef) + + return opt_coef, opt_clfs, ys_insp, ys_cast, ys_pred, \ + time_elapsed, space_cost__, P, seq + + +# ---------------------------------- +# ---------------------------------- diff --git a/pyfair/granite/ensem_pruning.py b/pyfair/granite/ensem_pruning.py new file mode 100644 index 0000000..3dae1e9 --- /dev/null +++ b/pyfair/granite/ensem_pruning.py @@ -0,0 +1,1894 @@ +# coding: utf-8 +# +# Target: +# Existing pruning methods in ensemble learning +# +# Including: +# 1) Ranking based / Ordering based +# 2) Clustering based +# 3) Optimization based +# 4) Other +# 5) Ameliorate of mine (my own version) +# 6) Composable Core-sets, Diversity Maximization +# + + +from copy import deepcopy +import gc +import sys +import time +import numpy as np +from pympler.asizeof import asizeof + +from pyfair.facil.utils_const import ( + check_zero, DTY_FLT, DTY_INT, DTY_BOL, judge_transform_need, + random_seed_generator) +from pyfair.facil.utils_remark import AVAILABLE_NAME_PRUNE + +from pyfair.facil.ensem_voting import plurality_voting +# from pyfair.senior.ensem_diversity import ( +# kappa_statistic_multiclass, Kappa_Statistic_multi) +from pyfair.marble.diver_pairwise import ( + kappa_statistic_multiclass, Kappa_Statistic_multi) +gc.enable() + + +# ---------------------------------- +# General +# ---------------------------------- +# return: +# yo : individual classifiers in the pruned sub-ensemble +# P : indices of the pruned sub-ensemble +# seq: order / sequence / succession of pruned 顺序 +# + + +# ========================================= +# \citep{margineantu1997pruning} +# +# Pruning Adaptive Boosting (ICML-97) +# [multi-class classification, AdaBoost] +# ========================================= + + +# ---------------------------------- +# Early Stopping +# works for [multi-class] +# ---------------------------------- + +def Early_Stopping(yt, nb_cls, nb_pru): + yo = yt[: nb_pru] + P = np.zeros(nb_cls, dtype=DTY_BOL) + P[: nb_pru] = True + seq = np.arange(nb_pru) + return yo, P.tolist(), seq.tolist() + + +# ---------------------------------- +# KL-divergence Pruning +# works for [multi-class] +# ---------------------------------- +# +# KL_distance between two probability distribution p and q +# KL_distance = scipy.stats.entropy(p, q) + +# data_entropy.py --- Inspired by margineantu1997pruning +# +# the KL distance between two probability distributions p and q is: +# D(p || q) = +# +# softmax regression +# + +def _softmax(y): + return np.exp(y) / np.sum(np.exp(y), axis=0) + + +def _KLD(p, q): + # p = np.array(p, dtype=DTY_FLT) + # q = np.array(q, dtype=DTY_FLT) + if np.sum(p) != 1.0: + # tem = np.sum(p) + # p /= check_zero(tem) + tem = check_zero(np.sum(p)) + p = [i / tem for i in p] + if np.sum(q) != 1.0: + # tem = np.sum(q) + # q /= check_zero(tem) + tem = check_zero(np.sum(q)) + q = [i / tem for i in q] + # # # + ans = 0. + n = len(p) # = len(q) + for i in range(n): + tem = p[i] / check_zero(q[i]) + tem = p[i] * np.log(check_zero(tem)) + # ?? tem = p[i] * np.log2(check_zero(tem)) + ans += tem + return float(ans) + + +# X, Y = classification vectors +# +def _KLD_vectors(X, Y): + vXY = np.unique(X + Y).tolist() + dXY = len(vXY) + # vXY = np.concatenate([X, Y]).tolist() + # vXY, dXY = judge_need_transform_or_not(vXY) + # if dXY == 1: + # dXY = 2 + # vXY = np.unique(vXY); dXY = len(vXY) + # # # + px = np.zeros(dXY, dtype=DTY_FLT) + py = np.zeros(dXY, dtype=DTY_FLT) + X, Y = np.array(X), np.array(Y) + for i in range(dXY): + px[i] = np.mean(X == vXY[i]) # np.equal(X, vXY[i]) + py[i] = np.mean(Y == vXY[i]) # np.equal(Y, vXY[i]) + px = px.tolist() + py = py.tolist() + del X, Y, dXY, vXY + ans = _KLD(px, py) + del px, py + return ans + + +def _JU_set_of_vectors(U): + ans = 0. + u = len(U) + for i in range(u - 1): + for j in range(i + 1, u): + ans += _KLD_vectors(U[i], U[j]) + del i, j, u + return ans + + +def _U_next_idx(yt, P): + # not_in_p = np.where(np.array(P) == False)[0] + not_in_p = np.where(np.logical_not(P))[0] + yt = np.array(yt) + ansJ = [] + for i in not_in_p: + ansP = deepcopy(P) # P.copy() + ansP[i] = True + ansU = yt[ansP].tolist() # yt[ansP == True] + ansJ.append(_JU_set_of_vectors(ansU)) + del ansP, ansU + idx = ansJ.index(np.max(ansJ)) # int + # del ansJ, yt + ans = not_in_p[idx] # np.integer + # return ans, ansJ # obtain different id by np.integer + return int(ans) + + +def KL_divergence_Pruning(yt, nb_cls, nb_pru): + P = np.zeros(nb_cls, dtype=DTY_BOL).tolist() + P[0] = True + seq = [0] + while np.sum(P) < nb_pru: + idx = _U_next_idx(yt, P) + P[idx] = True + seq.append(idx) + del idx + yo = np.array(yt)[P].tolist() # yo = yt[P] + return yo, deepcopy(P), deepcopy(seq) # list + + +# ---------------------------------- +# KL-divergence Pruning +# Modification of mine (with softmax) +# ---------------------------------- + +# KL distance between two vectors X and Y: +# +# the most important difference between KLD_vectors(X, Y) and KLD_pq(X, Y) is that: +# KLD_vectors(X, Y) uses unique values in X, Y, however, +# KLD_pq(X, Y) uses softmax and therefore, even the previous same values in +# "unique values" would be different as well. +# That's why they are different at all +# + +def _KLD_pq(X, Y): + p = _softmax(X).tolist() + q = _softmax(Y).tolist() + return _KLD(p, q) + + +def _J(U): + ans = 0. + u = len(U) + for i in range(u - 1): + for j in range(i + 1, u): + ans += _KLD_pq(U[i], U[j]) + return ans + + +def _KL_find_next(yt, P): + # not_in_p = np.where(P == False)[0] + not_in_p = np.where(np.logical_not(P))[0] + yt = np.array(yt) + ansJ = [] + for i in not_in_p: + ansP = deepcopy(P) # P.copy() + ansP[i] = True + ansU = yt[ansP].tolist() # yt[ansP == True] + ansJ.append(_J(ansU)) + del ansP, ansU + idx = ansJ.index(np.max(ansJ)) + del ansJ, yt + ans = not_in_p[idx] # Notice the position of p + return int(ans) + + +def KL_divergence_Pruning_modify(yt, nb_cls, nb_pru): + P = [True] + [False for _ in range(nb_cls - 1)] + seq = [0] # [False] * (nb_cls - 1) + while np.sum(P) < nb_pru: + idx = _KL_find_next(yt, P) + P[idx] = True + seq.append(idx) + yo = np.array(yt)[P].tolist() # yt[P] + return yo, deepcopy(P), deepcopy(seq) # list + + +# +# Updated on Feb 2nd 2020: +# Do not use softmax in KL-divergence Pruning. +# Better not to do this. +# + + +# ---------------------------------- +# Kappa Pruning [binary classification] +# ! not multi-class +# now works on multi-class +# ---------------------------------- + +# def Kappa(nb_y, nb_c, ha, hb): +# dY = nb_c # number of labels +# m = nb_y # number of instances / samples + +# def KappaMulti(ha, hb, y): +# ....__annotations__ +# return ans, theta1, theta2 + + +# using `kappa_statistic_multiclass` +def Kappa_Pruning_kuncheva(y, yt, nb_cls, nb_pru): + m = len(y) # initial + Kij = np.zeros(shape=(nb_cls, nb_cls), dtype=DTY_FLT) + Kij += sys.maxsize # sys.maxint # Kij += np.inf + for i in range(nb_cls - 1): + for j in range(i + 1, nb_cls): + Kij[i, j] = kappa_statistic_multiclass(yt[i], yt[j], y, m) + # upper triangular / triangle matrix + # the lowest $\kappa$ + P = np.zeros(nb_cls, dtype=DTY_BOL).tolist() + seq = [] + nb_p = 0 + while nb_p < nb_pru: + idx = np.where(Kij == np.min(Kij)) + try: + row, col = idx[0][0], idx[1][0] # np.integer + except Exception as e: + print("Kappa_Pruning --\n nb_p {}\n idx {}\n " + "Kij {}".format(nb_p, idx, Kij)) + raise e + if nb_p + 1 == nb_pru: + P[row] = True + seq.append(int(row)) + Kij[row, :] = sys.maxsize + Kij[:, row] = sys.maxsize + nb_p += 1 + else: + P[row] = True + P[col] = True + seq.extend([int(row), int(col)]) + Kij[row, :] = sys.maxsize + Kij[:, col] = sys.maxsize + Kij[:, row] = sys.maxsize + Kij[col, :] = sys.maxsize + nb_p += 2 + del idx, row, col + yo = np.array(yt)[P].tolist() # yt[P == True] + return yo, deepcopy(P), deepcopy(seq) # list + + +# using `Kappa_Statistic_multi` +def Kappa_Pruning_zhoubimu(y, yt, nb_cls, nb_pru): + m = len(y) # = float(len(y)) # number of instances / samples + Kij = np.zeros(shape=(nb_cls, nb_cls), dtype=DTY_FLT) + Kij += sys.maxsize # sys.maxint # Kij += np.inf + for i in range(nb_cls - 1): + for j in range(i + 1, nb_cls): + ans, _, _ = Kappa_Statistic_multi(yt[i], yt[j], y, m) + Kij[i, j] = ans + # upper triangular / triangle matrix + # the lowest \kappa + P = np.zeros(nb_cls, dtype=DTY_BOL) + seq = [] + nb_p = 0 + while nb_p < nb_pru: + idx = np.where(Kij == np.min(Kij)) + try: + row, col = idx[0][0], idx[1][0] # np.integer + except Exception as e: + print("Kappa_Pruning -- nb_cls {} nb_pru {} nb_p {}" + "".format(nb_cls, nb_pru, nb_p)) + print("Kappa_Pruning -- y, yt, {} \n{:23s}{}".format(y, '', yt)) + print("Kappa_Pruning -- idx {}".format(idx)) + print("Kappa_Pruning -- Kij \n{:20s}{}".format('', Kij)) + raise e + else: + pass + finally: + pass + # # # + if nb_p + 1 == nb_pru: + P[row] = True + seq.append(int(row)) + Kij[row, :] = sys.maxsize + Kij[:, row] = sys.maxsize + nb_p += 1 + else: + P[row] = True + P[col] = True + seq.extend([int(row), int(col)]) + Kij[row, :] = sys.maxsize + Kij[:, col] = sys.maxsize + Kij[:, row] = sys.maxsize + Kij[col, :] = sys.maxsize + nb_p += 2 + del idx, row, col + # yo = np.array(yt)[P] + # return yo.tolist(), P.tolist(), deepcopy(seq) + yo = np.array(yt)[P].tolist() + return yo, P.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# Reduce-Error Pruning with Backfitting +# [multi-class classification] +# ---------------------------------- + + +def Reduce_Error_Pruning_with_Backfitting(): + pass + + +# ========================================= +# \citep{martine2006pruning} +# +# Pruning in Ordered Bagging Ensembles (ICML-06) +# [multi-class classification, Bagging] +# ========================================= + + +# ---------------------------------- +# Ordering Bagging Ensembles +# Orientation Ordering [mult-class classification] +# ---------------------------------- + + +# a, b are vectors +# +def _angle(a, b): + a, b = np.array(a), np.array(b) + # dot product, scalar product + prod = np.sum(a * b) # $a \cdot b$ # np.ndarray + # or: prod = np.dot(a, b) # also works for list + # norm / module + len1 = np.sqrt(np.sum(a * a)) # $|a|, |b|$ + len2 = np.sqrt(np.sum(b * b)) + # $\cos(\theta)$ \in [-1,1] + cos_theta = prod / check_zero(len1 * len2) + if not (-1. <= cos_theta <= 1.): + cos_theta = max(-1., cos_theta) + cos_theta = min(cos_theta, 1.) + # nan robust # RuntimeWarning: invalid value encountered in arccos + theta = np.arccos(cos_theta) + del a, b, prod, len1, len2, cos_theta + return float(theta) + + +# $\mathbf{c}_t$, as the $N_{tr}$-dimensional vector +# the signature vector of the classifier $h_t$, for the dataset +# $L_{tr}$ composed of $N_{tr}$ examples +# +def _signature_vector(ht, y): + y, ht = np.array(y), np.array(ht) + ct = 2. * (y == ht) - 1. + ans = ct.tolist() + del y, ht, ct + return deepcopy(ans) # list + + +# $c_{ti}$ is equal to +1 if $h_t$ (the t-th unit in the ensemble) +# correctly classifies the i-th example of $L_{tr}$ +# $\mathbf{c}_{ens}$, the average signature vector of the ensemble is +# +def _average_signature_vector(yt, y): + ct = [_signature_vector(ht, y) for ht in yt] + cens = np.mean(ct, axis=0) # np.sum(..)/nb_cls + return cens.tolist(), deepcopy(ct) # list + + +# This study presents an ordering criterion based on the orientation +# of the signature vector of the individual classifiers with respect +# to a reference direction. +# +# This direction, coded in a reference vector, $\mathbf{c}_{ref}$, is +# the projection of the first quadrant diagonal onto the hyper-plane +# defined by $\mathbf{c}_{fens}$. +# +def _reference_vector(nb_y, cens): + oc = np.ones(shape=nb_y) # $\mathbf{o}$ + cens = np.array(cens) # $\mathbf{c}_{ens}$ + lam = check_zero(np.sum(cens * cens)) + lam = -1. * np.sum(oc * cens) / lam # $\lambda$ + cref = oc + lam * cens # $\mathbf{c}_{ref}$ + # perpendicular: np.abs(np.sum(cref * cens) - 0.) < 1e-6 == True + # # # + # $\mathbf{c}_{ref}$ becomes unstable when the vectors that define + # the projection (i.e., $\mathbf{c}_{ref}$ and the diagonal of the + # first quadrant) are close to each other. + flag = _angle(cref.tolist(), oc.tolist()) + ans = cref.tolist() + del oc, cens, lam, cref + return deepcopy(ans), flag + + +# The classifiers are ordered by increasing values of the angle between +# the signature vectors of the individual classifiers and the reference +# vector $\mathbf{c}_{ref}$ +# +def Orientation_Ordering_Pruning(y, yt): + nb_y = len(y) # number of samples / instances + cens, ct = _average_signature_vector(yt, y) + cref, flag = _reference_vector(nb_y, cens) + theta = [_angle(i, cref) for i in ct] + P = np.array(theta) < (np.pi / 2.) + P = P.tolist() + seq = np.array(np.argsort(theta), dtype=DTY_INT).tolist() + del nb_y, cens, ct, cref, theta + # # + if np.sum(P) == 0: + tem = np.random.randint(len(P)) + P[tem] = True + seq = [tem] + else: + seq = seq[: np.sum(P)] + yo = np.array(yt)[P].tolist() # yt[P] + return yo, deepcopy(P), deepcopy(seq), flag # list + + +# ---------------------------------- +# ---------------------------------- + + +# ========================================= +# \citep{martinez2009analysis} +# +# An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation +# (TPAMI) [multi-class classification, Bagging] +# ========================================= + + +# ---------------------------------- +# Reduce-Error Pruning +# ---------------------------------- +# +# Note that: +# need to use a pruning set, subdivided from training set, +# with a sub-training set +# + +def Reduce_Error_Pruning(y, yt, nb_cls, nb_pru): + P = np.zeros(nb_cls, dtype=DTY_BOL) + yt = np.array(yt) + # + # first + err = np.mean(np.not_equal(yt, y), axis=1) + # or: err = np.mean(yt != y, axis=1) + idx = err.argmin() # argmax() + P[idx] = True + seq = [int(idx)] # np.integer + # + # next + while np.sum(P) < nb_pru: + # find the next idx + # not_in_p = np.where(P == False)[0] + not_in_p = np.where(np.logical_not(P))[0] + anserr = [] + for i in not_in_p: + temP = P.copy() + temP[i] = True + temyt = yt[temP].tolist() + temfens = plurality_voting(temyt) # y, + # temerr = np.mean(temfens != y, axis=0) + temerr = np.mean(np.not_equal(temfens, y), axis=0) + anserr.append(temerr) + del temP, temyt, temfens, temerr + # # + idx = anserr.index(np.min(anserr)) # int + P[not_in_p[idx]] = True + seq.append(int(not_in_p[idx])) + del anserr, idx, not_in_p + # # # + yo = np.array(yt)[P].tolist() + del yt, err + return yo, P.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# Complementarity Measure +# ---------------------------------- +# \citep{martinez2004aggregation, cao2018optimizing} +# +# at the u-th iteration, +# s_u = \argmax_k \sum_{(x,y)\in D} \mathbb{I}( +# H_{S_{u-1}}(x) \neq y && y==h_k(x) +# ) +# where the index k in L_{u-1} and S_u = S_{u-1} \cup {s_u} +# + +def Complementarity_Measure_Pruning(y, yt, nb_cls, nb_pru): + P = np.zeros(nb_cls, dtype=DTY_BOL) + err = np.mean(np.not_equal(yt, y), axis=1) # yt != y + idx = err.argmin() + P[idx] = True + seq = [int(idx)] # first + yt = np.array(yt) + # next + while np.sum(P) < nb_pru: + S_u = np.where(P)[0] # pruned sub- # current selected individuals + L_u = np.where(np.logical_not(P))[0] # current left classifiers in ensemble + fens = plurality_voting(yt[S_u].tolist()) # y, + hk_x = [np.logical_and(np.not_equal(fens, y), + np.equal(y, yt[k])) for k in L_u] + # hk_x = [np.logical_and(fens != y, y == yt[k]) for ..] # [[nb_y] len(L_u)] + hk_x = [np.sum(k) for k in hk_x] + k = np.argsort(hk_x)[-1] + # # # + idx = L_u[k] # Notice here!! + P[idx] = True # P[k] = True + seq.append(int(idx)) # seq.append(int(k)) + # # # + yo = np.array(yt)[P].tolist() # yt[P == True] + return yo, P.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# Concurrency thinning +# ---------------------------------- + + +# ---------------------------------- +# Margin Distance Minimization +# ---------------------------------- + + +# ---------------------------------- +# Boosting-based Ordering [multi-class, Bagging] +# \citep{martinez2007using} +# Using Boosting to Prune Bagging Ensemble +# ---------------------------------- + + +# ========================================= +# \citep{tsoumakas2009ensemble} +# +# An Ensemble Pruning Primer +# ========================================= + + +# ---------------------------------- +# ---------------------------------- + + +# ========================================= +# \citep{} +# indyk2014composable, aghamolaei2015diversity, abbassi2013diversity +# +# Composable Core-sets for Diversity and Coverage Maximization +# Diversity Maximization via Composable Coresets +# Diversity Maximization Under Matroid Constraints +# ========================================= + +# def pruning_methods(name_func, para_func): +# return name_func(*para_func) +# +# Remark: +# specially for dt.DIST in DDisMI +# using Kappa statistic: K, theta1, theta2 = Kappa(ha, hb, y) +# K = 0, different; K = 1, completely the same +# +# K = 1, if the two classifiers totally agree with each other +# (completely the same); +# K = 0, if the two classifiers agree by chance; +# K < 0, is a rare case where the agreement is even less than +# what is expected by chance. +# + + +# ---------------------------------- +# GMM(S, k) +# ---------------------------------- +# +# Input : S , a set of points; k, size of the subset +# Output: S', a subset of S of size k +# Operations: +# 1. S' <-- An arbitrary point p +# 2. for i = 2, ..., k do +# 3. find p \in S\S' which maximize min_{q\in S'} dist(p, q) +# 4. S' <-- S' \cup {p} +# + +def _GMM_Kappa_sum(p, S, y): + m = len(y) + # ans = [Kappa(y, p, q) for q in S] + ans = [] + for q in S: + # tem, _, _ = Kappa_Statistic_multi(p, q, y, m) + tem = kappa_statistic_multiclass(p, q, y, m) + ans.append(tem) + tem = np.sum(ans) # np.float64 # isinstance(tem, float) + return float(tem) + + +def GMM_Algorithm(y, yt, nb_cls, nb_pru): + P = np.zeros(nb_cls, dtype=DTY_BOL) + rndsed, prng = random_seed_generator() + + idx = prng.randint(nb_cls) + P[idx] = True + seq = [idx] # int + # + for _ in range(1, nb_pru): + # find_max_p + all_q_in_S = np.array(yt)[P].tolist() # yt[P] + # idx_p_not_S = np.where(P == False)[0] + idx_p_not_S = np.where(np.logical_not(P))[0] + if len(idx_p_not_S) == 0: + idx = -1 + else: + ans = [_GMM_Kappa_sum(yt[j], all_q_in_S, y) for j in idx_p_not_S] + idx_p = ans.index(np.max(ans)) + idx = idx_p_not_S[idx_p] # np.integer + del ans, idx_p + del all_q_in_S, idx_p_not_S + # find_max_p + if idx > -1: + P[idx] = True + seq.append(int(idx)) + # # # + del rndsed, prng, idx + yo = np.array(yt)[P].tolist() + return yo, P.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# Local Search Algorithm +# ---------------------------------- +# +# Input : S , a set of points; k, size of the subset +# Output: S', a subset of S of size k +# Operations: +# 1. S' <-- An arbitrary set of k points which contains the two +# farthest points +# 2. while there exists p\in S\S' and p'\in S' such that ____ do +# such that: div(S'\{p'} \cup {p}) > div(S')(1+ \epsilon /k) +# or div(S'\{p'} \cup {p}) > div(S')(1+ \epsilon /n) +# 3. S' <-- S' \ {p'} \cup {p} +# + +def _LocalSearch_kappa_sum(S, y): + n = len(S) + Kij = np.zeros(shape=(n, n)) + m = len(y) # number of instances + for i in range(n - 1): + for j in range(i + 1, n): + # ans, _, _ = Kappa_Statistic_multi(S[i], S[j], y, m) + ans = kappa_statistic_multiclass(S[i], S[j], y, m) + Kij[i, j] = ans + # upper triangle matrix + ans = np.sum(Kij) / (n * (n - 1.) / 2.) + del n, Kij + return float(ans) + + +# """ +# def _LCS_sub_get_index(nb_cls, nb_pru, row, col): +# rndsed, prng = random_seed_generator() +# idx2 = np.arange(nb_cls).tolist() +# prng.shuffle(idx2) +# idx3 = idx2[: nb_pru] +# del rndsed, prng + +# if (row not in idx3) and (col not in idx3): +# idx3 = idx3[: -2] +# elif (row in idx3) and (col in idx3): +# idx3.remove(row) +# idx3.remove(col) +# elif (row in idx3) and (col not in idx3): +# idx3.remove(row) +# idx3 = idx3[: -1] +# elif (col in idx3) and (row not in idx3): +# idx3.remove(col) +# idx3 = idx3[: -1] +# return idx3, idx2 +# """ + + +def _LCS_sub_get_index(nb_cls, nb_pru, row, col): + _, prng = random_seed_generator() + idx2 = list(range(nb_cls)) + prng.shuffle(idx2) + idx3 = idx2[: nb_pru] + del prng + + if (row in idx3) and (col in idx3): + idx3.remove(row) + idx3.remove(col) + elif row in idx3: + idx3.remove(row) + idx3 = idx3[: -1] + elif col in idx3: + idx3.remove(col) + idx3 = idx3[: -1] + else: + idx3 = idx3[: -2] + return idx3, idx2 + + +# def LCS_sub_choose_renew(y, yt, nb_pru, epsilon, S_within, S_without): +def _LCS_sub_idx_renew(y, yt, nb_pru, epsilon, S_within, S_without): + flag = False # whether exists (p, q)? + div_b4 = _LocalSearch_kappa_sum(yt[S_within].tolist(), y) + for p in S_within: + idx_p = S_within.index(p) + for q in S_without: + tem_q = deepcopy(S_within) + tem_q[idx_p] = q + div_af = _LocalSearch_kappa_sum(yt[tem_q].tolist(), y) + # if div_af > div_b4 * (1. + epsilon / nb_pru): + # pass + # if div_af > div_b4 * (1. + epsilon / nb_cls): + # pass + # # + if div_af > div_b4 * (1. + epsilon / nb_pru): + flag = True + S_within = deepcopy(tem_q) + # seqseq.remove(p) + # seqseq.append(q) # int + tem_p = deepcopy(S_without) + idx_q = S_without.index(q) + tem_p[idx_q] = p + S_without = deepcopy(tem_p) + del tem_p, idx_q + break + if flag: + break + # could use these two /\ or not, better not, but will take longer time + return p, q, S_within, S_without, flag + + +def Local_Search(y, yt, nb_cls, nb_pru, epsilon): + P = np.zeros(nb_cls, dtype=DTY_BOL) + m = len(y) # number of instances + # # + # an abritrary set of k points which contains the two + # farthest points + Kij = np.zeros(shape=(nb_cls, nb_cls)) + Kij += sys.maxsize + for i in range(nb_cls - 1): + for j in range(i + 1, nb_cls): + # ans, _, _ = Kappa_Statistic_multi(yt[i], yt[j], y, m) + ans = kappa_statistic_multiclass(yt[i], yt[j], y, m) + Kij[i, j] = ans + # upper triangular matrix + idx1 = np.where(Kij == np.min(Kij)) + row = idx1[0][0] + col = idx1[1][0] + P[row] = True + P[col] = True + seq = [int(row), int(col)] # np.integer + del Kij, i, j, ans, idx1 # , row, col + # # + # an abritrary set of k points which contains the two + # farthest points + idx4, _ = _LCS_sub_get_index(nb_cls, nb_pru, row, col) + for i in idx4: + P[i] = True + if i not in seq: + seq.append(int(i)) # np.integer + # otherwise np.alen(seq) might >= np.sum(P) + # del rndsed, prng, idx2, idx3, idx4, row, col + # # + # while there exists p\in S\S' + nb_cnt = np.sum(P) * (nb_cls - np.sum(P)) + yt = np.array(yt) + S_within = np.where(P)[0].tolist() # np.where(P == True)[0].. + S_without = np.where(np.logical_not(P))[0].tolist() # P==False + seqseq = np.array(seq, dtype=DTY_INT).tolist() + while nb_cnt >= 0: # nb_count + p, q, S_within, S_without, flag = _LCS_sub_idx_renew( + y, yt, nb_pru, epsilon, S_within, S_without) + if flag: + seqseq.remove(p) + seqseq.append(q) + if not flag: + break + nb_cnt -= 1 + # end while + del nb_cnt, S_without + PP = np.zeros(nb_cls, dtype=DTY_BOL) + PP[S_within] = True + yo = np.array(yt)[PP].tolist() + del S_within + return yo, PP.tolist(), deepcopy(seqseq) + + +# ---------------------------------- +# ---------------------------------- + + +# ========================================= +# \citep{li2012diversity} +# +# Diversity Regularized Ensemble Pruning +# ========================================= +# +# H = \{ h_i(\mathbf{x}) \}, i=1,\dots,n, +# h_i:\mathcal{X}\mapsto\{-1,+1\} +# S = \{ (\mathbf{x}_k, y_k) \}, k=1,\dots,m +# +# Note that: y\in {-1,+1}, transform! +# + + +# ---------------------------------- +# DREP +# [binary classification] only +# ---------------------------------- +# +# Algorithm 1 The DREP method +# Input : ensemble to be pruned $H = \{h_i(\bm{x})\}_{i=1}^n$, +# validation data set $S = \{(\bm{x}_i, y_i)\}_{i=1}^m$, +# and tradeoff parameter $\rho \in (0, 1)$ +# Output: pruned ensemble $H^*$ +# +# 1. initialize H^* <-- \emptyset +# 2. h(x) <-- the classifier in H with the lowest error on S +# 3. H^* <-- \{h(x)\} and H <-- H\{h(x)} +# 4. repeat +# 5. for each h'(x) in H do +# 6. compute d_{h'} <-- \diff(h', H^*) based on (9) +# 7. end for +# 8. sort classifiers h'(x) 's in H in the ascending order of d_{h'} 's +# 9. \Gamma <-- the first ceil(\rho \cdot |H|) classifiers in the sorted list +# 10. h(x) <-- the classifier in \Gamma which most reduces the error of H^* on S +# 11. H^* <-- {h(x)} and H <-- H \ {h(x)} +# 12. until the error of H^* on S cannot be reduced +# +# Correct: 11. H^* <-- H^* \cup {h(x)} and .... +# + + +# $f(\mathbf{x};H) = \frac{1}{n} \sum_{1\leqslant i\leqslant n} +# h_i(\mathbf{x})$ +# +def _DREP_fxH(yt): + yt = np.array(yt) + if yt.ndim == 1: + yt = np.array([yt.tolist()]) + fens = np.mean(yt, axis=0) + del yt + + fens = np.sign(fens) + rndsed, prng = random_seed_generator() + + tie = [np.sum(fens == i) for i in [0, 1, -1]] + if tie[1] > tie[2]: + fens[fens == 0] = 1 + elif tie[1] < tie[2]: + fens[fens == 0] = -1 + else: + fens[fens == 0] = prng.randint(2) * 2 - 1 + + del rndsed, prng, tie + return fens.tolist() # list + + +# $\diff(h_i, h_j) = \frac{1}{m} \sum_{1\leqslant i\leqslant m} +# h_i(\mathbf{x}_k) h_j(\mathbf{x}_k)$ +# +def _DREP_diff(hi, hj): + ans = np.mean(np.array(hi) * np.array(hj)) + # ans = np.mean(hi * hj) + return float(ans) + + +def _DREP_sub_find_idx(tr_y, tr_yt, rho, P): + # 5. for each h'(x) in H do + # 6. compute d_h' <-- \diff(h', H*) based on Eq.(9) + # 7. end for + hstar = np.array(tr_yt)[P].tolist() + hstar = _DREP_fxH(hstar) + all_q_in_S = np.where(np.logical_not(P))[0] # P==False + dhstar = [_DREP_diff(tr_yt[q], hstar) for q in all_q_in_S] + # + # 8. sort classifiers h'(x) 's in H in the ascending order + # of d_h' 's + # 9. \Gamma <-- the first ceil(\rho * |H|) classifiers in + # the sorted list + dhidx = np.argsort(dhstar).tolist() # sort in ascending order + tradeoff = int(np.ceil(rho * len(all_q_in_S))) + gamma = dhidx[: tradeoff] # index in Gamma + gamma = [all_q_in_S[q] for q in gamma] + # + # 10. h(x) <-- the classifier in \Gamma which most reduces + # the error of H* on the training set + errHstar = np.mean(np.array(hstar) != tr_y) + ## errHstar = np.mean(np.not_equal(hstar, tr_y)) + idx = np.where(P)[0].tolist() # P==True + # errNew = [np.mean(DREP_fxH(tr_yt[idx + [p]]) != tr_y) for p in gamma] + tr_yt = np.array(tr_yt) + errNew = [_DREP_fxH(tr_yt[idx + [p]].tolist()) for p in gamma] + errNew = [np.mean(np.not_equal(p, tr_y)) for p in errNew] + errIdx = errNew.index(np.min(errNew)) + # + # 11. H* <-- {h(x)} and H <-- H\{h(x)} + if errNew[errIdx] <= errHstar: + # P[gamma[errIdx]] = True + # seq.append(gamma[errIdx]) # np.integer type + flag = True + return gamma[errIdx], flag + # else: + # flag = False + # # + del hstar, all_q_in_S, dhstar, dhidx + del tr_yt, errHstar, errNew, tradeoff + return -1, False + + +# $\rho \in (0, 1)$ +# +def DREP_Pruning(y, yt, nb_cls, rho): + vY = np.concatenate([[y], yt]).reshape(-1).tolist() + vY, dY = judge_transform_need(vY) + # ''' + # if dY > 2: + # raise UserWarning("DREP only works for binary classification." + # " Check np.unique(y) please.") + # elif dY == 2: + # # pass + # tr_y = [i * 2 - 1 for i in y] + # tr_yt = (np.array(yt) * 2 - 1).tolist() + # elif dY == 1 and len(vY) == 2: + # ## y = [(i + 1) // 2 for i in y] + # ## yt = np.array((np.array(yt) + 1) / 2, dtype=DTY_INT).tolist() + # tr_y, tr_yt = y, yt + # # # # + # ''' + if dY > 2: + raise UserWarning( + "DREP only works for binary classification." + " Check np.unique(y) please.") + tr_y, tr_yt = y, yt + if dY == 2: + tr_y = [i * 2 - 1 for i in y] + tr_yt = (np.array(yt) * 2 - 1).tolist() + + # 1. initialize H* <-- \emptyset + # 2. h(x) <-- the classifier in H(original ensemble) with the lowest + # error on the training set + # 3. H* <-- {h(x)} and H <-- H\{h(x)} + P = np.zeros(nb_cls, dtype=DTY_BOL) + ## accpl = [np.mean(h != y) for h in yt] + accpl = [np.mean(np.not_equal(h, y)) for h in yt] + idx = accpl.index(np.min(accpl)) + P[idx] = True + seq = [idx] # int type + # 4. repeat + # # + flag = True # whether the error of H* on S can be reduced + nb_cnt = int(np.ceil(rho * nb_cls)) # nb_count + ## tr_y = np.array(y) * 2 - 1 + ## tr_yt = np.array(yt) * 2 - 1 + while nb_cnt > 0: # >= + errIdx, flag = _DREP_sub_find_idx(tr_y, tr_yt, rho, P) + if flag: + P[errIdx] = True + seq.append(int(errIdx)) # np.integer type + # # + nb_cnt -= 1 + if not flag: # flag==False + break + # 12. until the error of H* on the training set cannot be reduced + # # + yo = np.array(yt)[P].tolist() + del idx, flag, accpl, tr_y, tr_yt + return yo, P.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# DREP modify +# to make it work for [multi-class] +# ---------------------------------- + + +def _drep_multi_modify_diff(ha, hb): + ans = np.equal(ha, hb) * 2 - 1 + ans = np.mean(ans) + return float(ans) + + +def _drep_multi_modify_findidx(y, yt, rho, P): + hstar = np.array(yt)[P].tolist() + hstar = plurality_voting(hstar) # y, + all_q_in_S = np.where(np.logical_not(P))[0] + dhstar = [_drep_multi_modify_diff(yt[q], + hstar) for q in all_q_in_S] + dhidx = np.argsort(dhstar).tolist() # ascending order sort + tradeoff = int(np.ceil(rho * len(all_q_in_S))) + gamma = dhidx[: tradeoff] # index in Gamma + gamma = [all_q_in_S[q] for q in gamma] + errHstar = np.mean(np.not_equal(hstar, y)) + idx = np.where(P)[0].tolist() + yt = np.array(yt) + # errNew = [plurality_voting(y, yt[idx + [p]].tolist()) for p in gamma] + errNew = [plurality_voting(yt[idx + [p]].tolist()) for p in gamma] + errNew = [np.mean(np.not_equal(p, y)) for p in errNew] + errIdx = errNew.index(np.min(errNew)) + if errNew[errIdx] <= errHstar: + return gamma[errIdx], True + del hstar, all_q_in_S, dhstar, dhidx, tradeoff, gamma + del errHstar, idx, yt, errNew, errIdx + return -1, False + + +def drep_multi_modify_pruning(y, yt, nb_cls, rho): + P = np.zeros(nb_cls, dtype=DTY_BOL) + accpl = [np.mean(np.not_equal(h, y)) for h in yt] + idx = accpl.index(np.min(accpl)) # the lowest error on S + P[idx] = True + seq = [idx] # int type + # repeat + # # + nb_cnt = int(np.ceil(rho * nb_cls)) + flag = True + while nb_cnt > 0: + errIdx, flag = _drep_multi_modify_findidx(y, yt, rho, P) + if flag: + P[errIdx] = True + seq.append(int(errIdx)) + nb_cnt -= 1 + if not flag: + break + # 12. until the error of H* on the training set cannot + # be reduced + # end while + yo = np.array(yt)[P].tolist() + del idx, accpl, flag + return yo, P.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# ---------------------------------- + + +# ========================================= +# \citep{qian2015pareto} +# +# Pareto Ensemble Pruning (PEP) (AAAI-15) +# [binary/multiclassification, Bagging] +# ========================================= + + +# ---------------------------------- +# assume +# ---------------------------------- +# +# $D = \{ (\mathbf{x}_i, y_i) \}_{i=1}^m$ data set, with $m$ samples +# $H = \{ h_j \}_{j=1}^n$ set of trained individual +# classifiers, with $n$ ones +# $H_{\mathbf{s}}$ with $\mathbf{s}=\{0,1\}^n$ pruned ensemble, with a +# selector vector +# $|\mathbf{s}| = \sum_{j=1}^n s_j$ minimize the size of +# $H_{\mathbf{s}}$ +# +# ${\arg\min}_{ \mathbf{s}\in\{0,1\}^n } \bigg( +# f(H_{\mathbf{s}}), |\mathbf{s}| +# \bigg)$ bi-objective ensemble pruning problem +# Note that: y\in {-1,+1}, transform! +# + + +# a pruned ensemble $H_{\mathbf{s}}$ is composited as +# $H_\mathbf{s}(\bm{x}) = \argmax_{y\in\mathcal{Y}} \sum_{i=1}^n +# s_i\cdot \mathbb{I}(h_i(\bm{x}) == y)$ +# +# multiclassification +# +def _PEP_Hs_x(y, yt, s): + vY = np.unique(np.vstack([y, yt])).tolist() + s = np.transpose([s]) # np.array([s]).T # np.array(np.mat(s).T) + # # + # method 1: + vote = [np.sum(s * np.equal(yt, i), axis=0).tolist() for i in vY] + # method 2: + # yt = yt[np.squeeze(s)] + # vote = [np.sum(yt == i, axis=0).tolist() for i in vY] + # # + loca = np.array(vote).argmax(axis=0) + Hsx = [vY[i] for i in loca] + del vY, s, vote, loca + return deepcopy(Hsx) + + +# define the difference of two classifiers as +# [binary only] +# +def _PEP_diff_hihj(hi, hj): + hi = np.array(hi) + hj = np.array(hj) + ans = np.mean((1. - hi * hj) / 2.) + return float(ans) + + +# and the error of one classifier as +# [binary only] +# +def _PEP_err_hi(y, hi): + y = np.array(y) + hi = np.array(hi) + ans = np.mean((1. - hi * y) / 2.) + return float(ans) + + +# both of them (i.e., \diff(hi, hj), \err(hi)) belong to [0, 1]. +# If \diff(hi, hj) = 0 (or 1), hi and hj always make the same +# (or opposite) predictions; +# if \err(hi) = 0 (or 1), hi always make the right (or wrong) +# prediction. +# We hope: (1) \diff larger, (2) \err smaller +# + + +# the validation error is calculated as +# binary [I think multiclassification works as well] +# +def _PEP_f_Hs(y, yt, s): + Hsx = _PEP_Hs_x(y, yt, s) + # ans = np.mean(Hsx != y) + ans = np.mean(np.not_equal(Hsx, y)) + return float(ans), Hsx + + +# modify to multi-class +# ---------------------------------- +# def PEP_diff_hihj() +# def PEP_err_hi() + + +def _pep_multi_modify_diff_hihj(ha, hb): + ans = np.equal(ha, hb) * 2 - 1 + ans = np.mean((1. - ans) / 2.) + return float(ans) + + +def _pep_multi_modify_err_hi(y, hc): + ans = np.equal(hc, y) * 2 - 1 + ans = np.mean((1. - ans) / 2.) + return float(ans) + + +# ---------------------------------- +# performance objective $f$ +# ---------------------------------- + + +# def PEP_objective_performance(): +# pass + + +# ---------------------------------- +# evaluation criterion $$eval$ +# ---------------------------------- + + +# ---------------------------------- +# OEP, SEP +# ---------------------------------- + + +# generate $\mathbf{s'}$ by flipping each bit of $\mathbf{s}$ +# with prob.$\frac{1}{n}$ +# +def _PEP_flipping_uniformly(s): + n = len(s) + pr = np.random.uniform(size=n) # \in [0, 1] + pr = (pr < 1. / n) # <= + # s', sprime + sp = [1 - s[i] if pr[i] else s[i] for i in range(n)] + del n, pr + return deepcopy(sp) # list + + +# Simple Ensemble Pruning +# ---------------------------------- +# +# Algorithm 4 (SEP). +# Given a set of trained classifiers H = {h_i}_{i=1}^n and an +# objective f: 2^H -> \mathbb{R}, it contains: +# +# 1. \mathbf{s} = randomly selected from \{0, 1\}^n. +# 2. Repeated until the termination condition is met: +# 3. Generate \mathbf{s}' by flippling each bit of \mathbf{s} +# with prob.\frac{1}{n}. +# 4. if $f(H_{\mathbf{s}'}) \leqslant f(H_\mathbf{s})$ then +# \mathbf{s} = \mathbf{s}'. +# 5. Output \mathbf{s}. +# + +def PEP_SEP(y, yt, nb_cls, rho): + # 1. \mathbf{s} = randomly selected from \{0, 1\}^n. + tem_s = np.random.uniform(size=nb_cls) # \in [0, 1) + tem_i = tem_s <= rho + if np.sum(tem_i) == 0: + tem_i[np.random.randint(nb_cls)] = True + # 1. \mathbf{s} = randomly selected from \{0, 1\}^n. + s = np.zeros(nb_cls, dtype=DTY_INT) + s[tem_i] = 1 + s = s.tolist() + del tem_s, tem_i + # what if: 万一 tem_i = [] 呢？ solved + # + # 2. repeat until: the termination condition is met. + nb_pru = int(np.ceil(rho * nb_cls)) + nb_cnt = nb_pru # counter + while nb_cnt >= 0: + # 3. Generate \mathbf{s}' by flipping each bit of + # \mathbf{s} with prob.\frac{1}{n}. + sp = _PEP_flipping_uniformly(s) + f1, _ = _PEP_f_Hs(y, yt, sp) + f2, _ = _PEP_f_Hs(y, yt, s) + # 4. if f(H_{\mathbf{s}'}) <= f(H_\mathbf{s}) then + # \mathbf{s} = \mathbf{s}'. + if f1 <= f2: + s = deepcopy(sp) # sp.copy() + nb_cnt = nb_cnt - 1 + del sp, f1, f2 + if np.sum(s) > nb_pru: + break + # # # + if np.sum(s) == 0: + s[np.random.randint(nb_cls)] = 1 + # /\ this is for robust + # # + yo = np.array(yt)[np.array(s) == 1].tolist() # yt[s==1] + # 5. output: \mathbf{s}. + P = np.array(s, dtype=DTY_BOL) + seq = np.where(np.array(s) == 1)[0] + del nb_cnt, s + return yo, P.tolist(), seq.tolist() # list + + +# Ordering-based Ensemble Pruning +# ---------------------------------- +# +# Algorithm 3 (OEP). +# Given trained classifiers $H = \{h_i\}_{i=1}^n$, an objective +# $f: 2^H -> \mathbb{R}$ and a criterion $eval$, it contains: +# +# 1. Let H^S = \emptyset, H^U = {h_1, h_2, ..., h_n}. +# 2. Repeat until H^U = \emptyset: +# 3. h^* = \argmin_{h\in H^U} f(H^S \cup {h}). +# 4. H^S = H^S \cup {h^*}, H^U = H^U - {h^*}. +# 5. Let H^S = {h_1^*, ..., h_n^*}, where h_i^* is the classifier +# added in the i-th iteration. +# 6. Let k = \argmin_{1\leqslant i\leqslant n} eval({h_1^*, ..., h_i^*}). +# 7. Output {h_1^*, h_2^*, ..., h_k^*}. +# + +def PEP_OEP(y, yt, nb_cls): + # 1. Let H^S = \emptyset, H^U = {h_1, h_2, ..., h_n}. + Hs = np.zeros(nb_cls, dtype=DTY_BOL).tolist() + ordered_idx = [] + # 2. repeat until H^U = \emptyset: + while np.sum(Hs) < nb_cls: + # 3. h^* = \argmin_{h\in H^U} f(H^S \cup {h}). + Hu_idx = np.where(np.logical_not(Hs))[0] # Hs==False + Hu_idx = Hu_idx.tolist() + obj_f = [] + for h in Hu_idx: + # obtain H^S \cup {h} + tem_s = deepcopy(Hs) # Hs.copy() + tem_s[h] = True + # compute f(H^S \cup {h}) + tem_ans, _ = _PEP_f_Hs(y, yt, tem_s) + obj_f.append(tem_ans) + del tem_s, tem_ans + # find the index of the minimal value + idx_f = obj_f.index(np.min(obj_f)) + idx_f = Hu_idx[idx_f] + # ordered_idx is the equivalent of `seq` + # 4. H^S = H^S \cup {h^*}, H^U = H^U - {h^*}. + ordered_idx.append(idx_f) + Hs[idx_f] = True + del Hu_idx, obj_f, idx_f + # # + # 5. Let H^S = {h_1^*, ..., h_n^*}, where h_i^* is the + # classifier added in the i-th iteration. + del Hs + # 6. Let k = \argmin_{1\leq i\leq n} eval({h_1^*, ..., h_i^*}). + obj_eval = [] + for h in range(1, nb_cls + 1): + tem_s = np.zeros(nb_cls, dtype=DTY_INT) + tem_s[ordered_idx[: h]] = 1 + tem_ans, _ = _PEP_f_Hs(y, yt, tem_s.tolist()) + obj_eval.append(tem_ans) + del tem_s, tem_ans + # 6. Let k = \argmin_{1\leq i\leq n} eval({h_1^*, ..., h_i^*}). + idx_k = obj_eval.index(np.min(obj_eval)) + # (2) idx_k = np.argsort(obj_eval)[0] + # (3) idx_k = np.where(np.array(obj_eval) == np.min(obj_eval))[0] + # (3) idx_k = idx_k[-1] # no! we want the size smaller! + # + # 7. output {h_1^*, h_2^*, ..., h_k^*}. + P = np.zeros(nb_cls, dtype=DTY_BOL) + P[ordered_idx[: (idx_k + 1)]] = True # Notice!! + seq = ordered_idx[: (idx_k + 1)] # np.integer + del obj_eval, idx_k + yo = np.array(yt)[P].tolist() + return yo, P.tolist(), deepcopy(seq) # list + + +# ---------------------------------- +# Domination +# ---------------------------------- + + +# bi-objective +# +def _PEP_bi_objective(y, yt, s): + fHs, Hsx = _PEP_f_Hs(y, yt, s) + s_ab = np.sum(s) # absolute # np.integer type + ans = (fHs, int(s_ab)) + del fHs, Hsx, s_ab + return deepcopy(ans) + + +# the objective vector: +# $\mathbf{g}(\mathbf{s}) = (g_1, g_2)$ +# $\mathbf{g}: \mathcal{S} to \mathbb{R}^2$ +# +# for two solutions +# $\mathbf{s}, \mathbf{s'} \in \mathcal{S}$ +# + + +# (1) s weakly dominates s' if +# g1(s) <= g1(s') and g2(s) <= g2(s') +# +def _PEP_weakly_dominate(g_s1, g_s2): + if (g_s1[0] <= g_s2[0]) and (g_s1[1] <= g_s2[1]): + return True + return False + + +# (2) s dominates s' if +# s \succeq_{g} s' and +# either g1(s) < g1(s') or g2(s) < g2(s') +# +def _PEP_dominate(g_s1, g_s2): + if _PEP_weakly_dominate(g_s1, g_s2): + if g_s1[0] < g_s2[0]: + return True + elif g_s1[1] < g_s2[1]: + return True + return False + + +# ---------------------------------- +# VDS, PEP +# ---------------------------------- + + +# VDS Subroutine +# ---------------------------------- +# +# Algorithm 2 (VDS Subroutine). +# Given a pseudo-Boolean function f and a solution \mathbf{s}, +# it contains: +# +# 1. Q = \emptyset, L = \emptyset. +# 2. Let N(\cdot) denote the set of neighbor solutions of a +# binary vector with Hamming distance 1. +# 3. While V_\mathbf{s} = { +# \bm{y} \in N(\mathbf{s}) | +# (y_i \neq s_i \Rightarrow i \notin L) +# } \neq \emptyset +# 4. Choose \bm{y} \in V_\mathbf{s} with the minimal f value. +# 5. Q = Q \cup {\bm{y}}. +# 6. L = L \cup {i | y_i \neq s_i}. +# 7. \mathbf{s} = \bm{y}. +# 8. Output Q. +# + +def _PEP_VDS(y, yt, nb_cls, s): + QL = np.zeros(nb_cls, dtype=DTY_BOL) + sp = deepcopy(s) # s.copy() # $\mathbf{s}$ + # 1. Q = \emptyset, L = \emptyset. + Q, L = [], [] + # 2. Let N(\cdot) denote the set of neighbor solutions of a + # binary vector with Hamming distance 1. + # 3. While V_mathbf{s} = { + # \bm{y} \in N(\mathbf{s}) | + # y_i \neq s_i \Rightarrow i \notin L + # } \neq \emptyset + while np.sum(QL) < nb_cls: + # 2. Let N(\cdot) denote the set of neighbor solution with + # Hamming distance 1. + Ns = [deepcopy(sp) for i in range(nb_cls)] + # Ns = [sp.tolist() for i in range(nb_cls)] + for i in range(nb_cls): + Ns[i][i] = 1 - Ns[i][i] + Ns = np.array(Ns) + # + # \bm{y} in N(\mathbf{s}) + idx_Vs = np.where(np.logical_not(QL))[0] # QL==False + Vs = Ns[idx_Vs].tolist() + # + # 4. Choose \bm{y} \in V_\mathbf{s} with the minimal f value. + obj_f = [_PEP_f_Hs(y, yt, i)[0] for i in Vs] + idx_f = obj_f.index(np.min(obj_f)) + yp = Vs[idx_f] # $\mathbf{y}$ + # + # 5. Q = Q \cup {\bm{y}}. + # 6. L = L \cup {i | y_i \neq s_i}. + Q.append(deepcopy(yp)) # Q.append(yp.copy()) + L.append(int(idx_Vs[idx_f])) # otherwise, np.integer + QL[idx_Vs[idx_f]] = True + # + # 7. \mathbf{s} = \bm{y}. + sp = deepcopy(yp) # yp.copy() + del Ns, idx_Vs, Vs, obj_f, idx_f, yp + del QL + # 8. Output Q. + return deepcopy(Q), deepcopy(L) # np.ndarray, int. type + + +# Pareto Ensemble Pruning +# ---------------------------------- +# +# Algorithm 1 (PEP). +# Given a set of trained classifiers $H = {h_i}_{i=1}^n$, +# an objective $f: 2^H \to \mathbb{R}$ and an evaluation +# criterion $eval$, it contains: +# +# 1. Let g(\mathbf{s}) = (f(H_\mathbf{s}), |\mathbf{s}|) +# be the bi-objective. +# 2. Let \mathbf{s} = randomly selected from {0, 1}^n and +# P = \{\mathbf{s}\}. +# 3. Repeat +# 4. Select \mathbf{s} \in P uniformly at random. +# 5. Generate \mathbf{s}' by flipping each bit of \mathbf{s} +# with prob.\frac{1}{n}. +# 6. if \nexists \mathbf{z} \in P such that +# \mathbf{z} \succ_g \mathbf{s}' +# 7. P = (P - \{ +# \mathbf{z} \in P | +# \mathbf{s}' \succeq_g \mathbf{z} +# \}) \cup \{\mathbf{s}'\}. +# 8. Q = VDS(f, \mathbf{s}'). +# 9. for \mathbf{q} \in Q +# 10. if \nexists \mathbf{z} \in P such that +# \mathbf{z} \succ_g \mathbf{q} +# 11. P = (P - \{ +# \mathbf{z} \in P | +# \mathbf{q} \succeq_g \mathbf{z} +# \}) \cup \{\mathbf{q}\}. +# 12. Output \argmin_{\mathbf{s} \in P} eval(\mathbf{s}). +# + +def PEP_PEP(y, yt, nb_cls, rho): + # 1. Let g(\mathbf{s}) = (f(H_\mathbf{s}), |\mathbf{s}|) be the + # bi-objective. + # 2. Let \mathbf{s} = randomly selected from {0, 1}^n and + # P = \{\mathbf{s}\}. + s = np.random.randint(2, size=nb_cls).tolist() + P = [deepcopy(s)] # P = [s.copy()] + # 3. repeat + nb_cnt = int(np.ceil(rho * nb_cls)) # counter + while nb_cnt > 0: + # 4. Select \mathbf{s} \in P uniformly at random. + idx = np.random.randint(len(P)) + s0 = P[idx] + # 5. Generate \mathbf{s}' by flipping each bit of \mathbf{s} + # with prob.\frac{1}{n}. + sp = _PEP_flipping_uniformly(s0) + g_sp = _PEP_bi_objective(y, yt, sp) + # 6. if \nexists \mathbf{z} \in P such that + # \mathbf{z} \succ_g \mathbf{s}' + flag1 = False + for z1 in P: + g_z1 = _PEP_bi_objective(y, yt, z1) + if _PEP_dominate(g_z1, g_sp): + flag1 = True + break + del g_z1, z1 + # # + if not flag1: + # 7. P= (P-\{ + # \mathbf{z} \in P | + # \mathbf{s}' \succeq_s \mathbf{z} + # \}) \cup \{\mathbf{s}'\}. + idx1 = [] + # for i in range(len(P)): + for i, _ in enumerate(P): + g_z2 = _PEP_bi_objective(y, yt, P[i]) + if _PEP_weakly_dominate(g_sp, g_z2): + idx1.append(i) + for i in idx1[:: -1]: + del P[i] + P.append(deepcopy(sp)) # sp.copy() + del g_z2, i, idx1 + # + # 8. Q = VDS(f, \mathbf{s}'). + Q, _ = _PEP_VDS(y, yt, nb_cls, sp) + # 9. for \mathbf{q} \in Q + for q in Q: + g_q = _PEP_bi_objective(y, yt, q) + # 10. if \nexists \mathbf{z} \in P such that + # \mathbf{z} \succ_g \mathbf{q} + flag3 = False + for z3 in P: + g_z3 = _PEP_bi_objective(y, yt, z3) + if _PEP_dominate(g_z3, g_q): + flag3 = True + break + del g_z3, z3 + if not flag3: + # 11. P=(P- \{ + # \mathbf{z} \in P | + # \mathbf{q} \succeq_g \mathbf{z} + # \}) \cup \{\mathbf{q}\}. + idx3 = [] + # for j in range(len(P)): + for j, _ in enumerate(P): + g_z4 = _PEP_bi_objective(y, yt, P[j]) + if _PEP_weakly_dominate(g_q, g_z4): + idx3.append(j) + for j in idx3[:: -1]: + del P[j] + P.append(deepcopy(q)) # q.copy() + del g_z4, j, idx3 + del flag3, g_q + del q, Q + del flag1, g_sp, sp, s0, idx + nb_cnt = nb_cnt - 1 + # end of this iteration + del nb_cnt, s + # + # 12. Output \argmin_{\mathbf{s} \in P} eval(\mathbf{s}). + obj_eval = [_PEP_f_Hs(y, yt, t)[0] for t in P] # si/t + idx_eval = obj_eval.index(np.min(obj_eval)) + s = P[idx_eval] + del P, obj_eval, idx_eval + if np.sum(s) == 0: + s[np.random.randint(nb_cls)] = 1 + P = np.array(s, dtype=DTY_BOL) + seq = np.where(np.array(s) == 1)[0] # np.int64 + yo = np.array(yt)[P].tolist() + del s + return yo, P.tolist(), seq.tolist() # list + + +def PEP_PEP_modify(y, yt, nb_cls, rho): + nb_pru = int(np.ceil(rho * nb_cls)) + s = np.random.randint(2, size=nb_cls).tolist() + P = [deepcopy(s)] # s.copy() + del s + nb_cnt = nb_pru # counter + while nb_cnt > 0: + idx = np.random.randint(len(P)) + s = P[idx] + sp = _PEP_flipping_uniformly(s) + g_sp = _PEP_bi_objective(y, yt, sp) + + flag1 = False + for z1 in P: + g_z1 = _PEP_bi_objective(y, yt, z1) + if _PEP_dominate(g_z1, g_sp): + flag1 = True + break + if not flag1: + idx1 = [] + for i, _ in enumerate(P): # for i in range(len(P)): + g_z1 = _PEP_bi_objective(y, yt, P[i]) + if _PEP_weakly_dominate(g_sp, g_z1): + idx1.append(i) + for i in idx1[:: -1]: + del P[i] + P.append(deepcopy(sp)) + del i, idx1 + + Q, _ = _PEP_VDS(y, yt, nb_cls, sp) + for q in Q: + g_q = _PEP_bi_objective(y, yt, q) + flag3 = False + for z3 in P: + g_z3 = _PEP_bi_objective(y, yt, z3) + if _PEP_dominate(g_z3, g_q): + flag3 = True + break + if not flag3: + idx3 = [] + # for j in range(len(P)): + for j, _ in enumerate(P): + g_z3 = _PEP_bi_objective(y, yt, P[j]) + if _PEP_weakly_dominate(g_q, g_z3): + idx3.append(j) + for j in idx3[:: -1]: + del P[j] + P.append(deepcopy(q)) + del j, idx3 + + del g_z3, z3, flag3, g_q + del q, Q + del g_z1, z1, flag1, g_sp, sp, s, idx + nb_cnt = nb_cnt - 1 + # end of this iteration + obj_eval = [_PEP_f_Hs(y, yt, si)[0] for si in P] + idx_eval = obj_eval.index(np.min(obj_eval)) + s_ef = P[idx_eval] # se/sf, s_eventually, s_finally + del obj_eval, idx_eval + if (np.sum(s_ef) <= nb_pru) and (np.sum(s_ef) > 0): + break + P_ef = np.array(s_ef, dtype=DTY_BOL) + if np.sum(P_ef) == 0: + P_ef[np.random.randint(nb_cls)] = True + seq = np.where(P_ef)[0] # np.int64 + yo = np.array(yt)[P_ef].tolist() # yo = yt[P_ef] + del s_ef, nb_cnt, P, nb_pru + return yo, P_ef.tolist(), seq.tolist() + + +# ---------------------------------- +# PEP split up +# ---------------------------------- + + +def _pep_pep_split_up_nexists(y, yt, P_set, sp_q): + g_sp_q = _PEP_bi_objective(y, yt, sp_q) + # flag = False + for z in P_set: + g_z = _PEP_bi_objective(y, yt, z) + if _PEP_dominate(g_z, g_sp_q): + # flag = True + # break + return True, deepcopy(z) + # return flag + return False, [] + + +def _pep_pep_refresh_weakly_domi(y, yt, P_set, sp_q): + # all_z_in_P = list(range(len(P_set))) + g_sp_q = _PEP_bi_objective(y, yt, sp_q) + all_z_in_P = [_PEP_bi_objective(y, yt, i) for i in P_set] + all_z_in_P = [_PEP_weakly_dominate(g_sp_q, i) for i in all_z_in_P] + idx = np.where(np.logical_not(all_z_in_P))[0] + P_set = np.array(P_set)[idx].tolist() + P_set.append(deepcopy(sp_q)) + return P_set, idx.tolist() + + +def pep_pep_integrate(y, yt, nb_cls, rho): + # 1. Let $g(\mathbf{s}) = (f(|H_\mathbf{s}|), |\mathbf{s}|)$ + # be the bi-objective. + # 2. Let $\mathbf{s}$ = randomly selected from $\{0,1\}^n$ and + # $P = \{\mathbf{s}\}$. + s = np.random.randint(2, size=nb_cls).tolist() + P = [deepcopy(s)] + # 3. Repeat + # 4. Select $\mathbf{s} \in P$ uniformly at random. + # 5. Generate $\mathbf{s'}$ by flipping each bit of + # $\mathbf{s}$ with prob.$\frac{1}{n}$. + nb_cnt = int(np.ceil(rho * nb_cls)) + while nb_cnt > 0: + idx = np.random.randint(len(P)) + s0 = P[idx] + sp = _PEP_flipping_uniformly(s0) + fg1, _ = _pep_pep_split_up_nexists(y, yt, P, sp) + if not fg1: + P, _ = _pep_pep_refresh_weakly_domi(y, yt, P, sp) + Q, _ = _PEP_VDS(y, yt, nb_cls, sp) + for q in Q: + fg3, _ = _pep_pep_split_up_nexists(y, yt, P, q) + if not fg3: + P, _ = _pep_pep_refresh_weakly_domi(y, yt, P, q) + nb_cnt -= 1 + # 6. if $\nexists z\in P$ such that $z \succ_g s'$ + # 7. P=(P-{z\in P| s' \succeq_g z}) \cup {s'} + # 8. Q = VDS(f,s') + # 9. for q \in Q + # 10. if \nexists z\in P such that z \succ_g q + # 11. P=(P-{z\in P| q \succeq_g z}) \cup {q} + obj_eval = [_PEP_f_Hs(y, yt, st)[0] for st in P] + idx_eval = obj_eval.index(np.min(obj_eval)) + s = P[idx_eval] + # 12. Output $\argmin_{\mathbf{s} \in P} eval(\mathbf{s})$ + del P, obj_eval, idx_eval + if np.sum(s) == 0: + s[np.random.randint(nb_cls)] = 1 + PP = np.array(s, dtype=DTY_BOL) + seq = np.where(np.array(s) == 1)[0] # np.int64 + yo = np.array(yt)[PP].tolist() + return yo, PP.tolist(), seq.tolist() + + +# def pep_pep_integrate_modify(y, yt, nb_cls, rho): +def pep_pep_re_modify(y, yt, nb_cls, rho): + nb_pru = int(np.ceil(rho * nb_cls)) + s = np.random.randint(2, size=nb_cls).tolist() + P = [deepcopy(s)] + nb_cnt = nb_pru + while nb_cnt > 0: + idx = np.random.randint(len(P)) + s = P[idx] + sp = _PEP_flipping_uniformly(s) + fg1, _ = _pep_pep_split_up_nexists(y, yt, P, sp) + if not fg1: + P, _ = _pep_pep_refresh_weakly_domi(y, yt, P, sp) + Q, _ = _PEP_VDS(y, yt, nb_cls, sp) + for q in Q: + fg3, _ = _pep_pep_split_up_nexists(y, yt, P, q) + if not fg3: + P, _ = _pep_pep_refresh_weakly_domi(y, yt, P, q) + nb_cnt = nb_cnt - 1 + obj_eval = [_PEP_f_Hs(y, yt, si)[0] for si in P] + idx_eval = obj_eval.index(np.min(obj_eval)) + s_ef = P[idx_eval] # eventually, finally + del obj_eval, idx_eval + # if (np.sum(s_ef) <= nb_pru) and (np.sum(s_ef) > 0): + if 0 < np.sum(s_ef) <= nb_pru: + break + if np.sum(s_ef) == 0: + s_ef[np.random.randint(nb_cls)] = 1 + P_ef = np.array(s_ef, dtype=DTY_BOL) + seq = np.where(P_ef)[0] # np.int64 + yo = np.array(yt)[P_ef].tolist() + del s_ef, nb_cnt, P, nb_pru + return yo, P_ef.tolist(), seq.tolist() + + +# ---------------------------------- +# ---------------------------------- + + +# ========================================= +# Valuation Codes +# ========================================= + +# def pruning_methods(name_func, *para_func): +# return name_func(*para_func) + + +# prelim.py +# obtain pruning +# ---------------------------------- +# import core.ensem_pruning as dp +# import core.ensem_pruorder as dp + + +def contrastive_pruning_methods(name_pru, nb_cls, nb_pru, + y_val, y_cast, epsilon, rho): + # since = time.time() # y_insp, y_pred, coef, clfs + if name_pru == 'KP': + name_pru = 'KPz' + assert name_pru in AVAILABLE_NAME_PRUNE + + if name_pru == "ES": + ys_cast, P, seq = Early_Stopping(y_cast, nb_cls, nb_pru) + elif name_pru == "KL": + ys_cast, P, seq = KL_divergence_Pruning(y_cast, nb_cls, nb_pru) + elif name_pru == "KL+": + ys_cast, P, seq = KL_divergence_Pruning_modify( + y_cast, nb_cls, nb_pru) + elif name_pru == "KPk": + ys_cast, P, seq = Kappa_Pruning_kuncheva( + y_val, y_cast, nb_cls, nb_pru) + elif name_pru == "KPz": + ys_cast, P, seq = Kappa_Pruning_zhoubimu( + y_val, y_cast, nb_cls, nb_pru) + + elif name_pru == "RE": + ys_cast, P, seq = Reduce_Error_Pruning( + y_val, y_cast, nb_cls, nb_pru) + elif name_pru == "CM": + ys_cast, P, seq = Complementarity_Measure_Pruning( + y_val, y_cast, nb_cls, nb_pru) + elif name_pru == "OO": + ys_cast, P, seq, flag = Orientation_Ordering_Pruning( + y_val, y_cast) + + elif name_pru in ["GMA", "GMM"]: # == "GMA": + ys_cast, P, seq = GMM_Algorithm( + y_val, y_cast, nb_cls, nb_pru) + elif name_pru == "LCS": + ys_cast, P, seq = Local_Search( + y_val, y_cast, nb_cls, nb_pru, epsilon) + + elif name_pru == "DREP": # works for binary classification only + vY = np.concatenate([ + [y_val], y_cast]).reshape(-1).tolist() + vY, dY = judge_transform_need(vY) + if dY > 2: + raise UserWarning( + "DREP works for binary classification only.") + ys_cast, P, seq = DREP_Pruning(y_val, y_cast, nb_cls, rho) + elif name_pru == "drepm": + ys_cast, P, seq = drep_multi_modify_pruning( + y_val, y_cast, nb_cls, rho) + + elif name_pru == "SEP": + ys_cast, P, seq = PEP_SEP(y_val, y_cast, nb_cls, rho) + elif name_pru == "OEP": + ys_cast, P, seq = PEP_OEP(y_val, y_cast, nb_cls) + elif name_pru == "PEP": + ys_cast, P, seq = PEP_PEP(y_val, y_cast, nb_cls, rho) + elif name_pru == "PEP+": + ys_cast, P, seq = PEP_PEP_modify(y_val, y_cast, nb_cls, rho) + + elif name_pru == "pepre": + ys_cast, P, seq = pep_pep_integrate( + y_val, y_cast, nb_cls, rho) + elif name_pru == "pepr+": + ys_cast, P, seq = pep_pep_re_modify( + y_val, y_cast, nb_cls, rho) + else: + # raise UserWarning("Error occurred in `contrastive_pruning_methods`.") + # propose for `ustc_diversity` + # P = dd.prune_diversity(y_val, y_cast, nb_pru, tradeoff) + # ys_cast = np.array(y_cast)[np.array(P)].tolist() + # + raise UserWarning("Error occurred in `contrastive_pruning_methods`.") + + if name_pru != "OO": + flag = None + # tim_elapsed = time.time() - since + return ys_cast, P, seq, flag + + +def contrastive_pruning_according_validation( + name_pru, nb_cls, nb_pru, y_val, y_cast, epsilon, rho, + y_insp, y_pred, coef, clfs): + since = time.time() + ys_cast, P, seq, flag = contrastive_pruning_methods( + name_pru, nb_cls, nb_pru, y_val, y_cast, epsilon, rho) + time_elapsed = time.time() - since + + ys_pred = np.array(y_pred)[P].tolist() + ys_insp = np.array(y_insp)[P].tolist() if len( + y_insp) > 0 else [] + # if we only have trn/tst with val, then + # ys_cast is ys_insp and ys_insp=[] (for val) + + opt_coef = np.array(coef)[P].tolist() # coef[P] + # opt_clfs = np.array(clfs)[P].tolist() + opt_clfs = [cj for i, cj in zip(P, clfs) if i] + space_cost__ = asizeof(opt_clfs) + asizeof(opt_coef) + + return opt_coef, opt_clfs, ys_insp, ys_cast, ys_pred, \ + time_elapsed, space_cost__, P, seq, flag + +# Notice that: +# If we use `y_trn, y_val, y_tst`, then no doubts +# If we use `y_trn, y_tst` without `y_val`, then: +# _, _, [], ys_insp, ys_pred, _, _, P, seq, flag = \ +# contrastive_pruning_according_validation( +# _, _, _, y_trn, y_insp, _, _, [], y_pred, _, _) +# ys_cast = [] +# diff --git a/pyfair/granite/excl_test_diversity.py b/pyfair/granite/excl_test_diversity.py new file mode 100644 index 0000000..8ef22e6 --- /dev/null +++ b/pyfair/granite/excl_test_diversity.py @@ -0,0 +1,472 @@ +# coding: utf-8 + +import numpy as np +from pyfair.facil.utils_const import check_equal, synthetic_set + +nb_inst, nb_labl, nb_cls = 100, 3, 7 +bi_y, bi_yt, bi_c = synthetic_set(2, nb_inst, nb_cls) +mu_y, mu_yt, mu_c = synthetic_set(nb_labl, nb_inst, nb_cls) +tr_yt = np.array(bi_yt) * 2 - 1 +tr_yt = tr_yt.tolist() +tr_y = [i * 2 - 1 for i in bi_y] +ki, kj = 0, 1 # idx + + +def test_contingency_table(): + from pyfair.marble.diver_pairwise import ( + contingency_table_binary, + contingency_table_multi, + contingency_table_multiclass) + # ki, kj = 0, 1 # idx + tr_a, tr_b, tr_c, tr_d = \ + contingency_table_binary(tr_yt[ki], tr_yt[kj]) + bi_a, bi_b, bi_c, bi_d = \ + contingency_table_binary(bi_yt[ki], bi_yt[kj]) + assert (tr_a + tr_b + tr_c + tr_d) == nb_inst + assert (bi_a + bi_b + bi_c + bi_d) == nb_inst + assert tr_a == bi_a and tr_d == bi_d + assert tr_b == bi_b and tr_c == bi_c + + tr_Cij = contingency_table_multi(tr_yt[ki], tr_yt[kj], tr_y) + bi_Cij = contingency_table_multi(bi_yt[ki], bi_yt[kj], bi_y) + assert np.all(np.equal(tr_Cij, bi_Cij)) + assert bi_Cij[0][0] == bi_d and bi_Cij[1][1] == bi_a + assert bi_Cij[1][0] == bi_b and bi_Cij[0][1] == bi_c + assert np.sum(bi_Cij) == np.sum(tr_Cij) == nb_inst + + rta, rtb, rtc, rtd = contingency_table_multiclass( + tr_yt[ki], tr_yt[kj], tr_y) + rba, rbb, rbc, rbd = contingency_table_multiclass( + bi_yt[ki], bi_yt[kj], bi_y) + assert (rta + rtb + rtc + rtd) == nb_inst + assert (rba + rbb + rbc + rbd) == nb_inst + assert rta == rba and rtd == rbd and rtb == rbb and rtc == rbc + + assert (rba + rbd) == (bi_a + bi_d) + assert (rbb + rbc) == (bi_b + bi_c) + + mu_Cij = contingency_table_multi(mu_yt[ki], mu_yt[kj], mu_y) + mu_a, mu_b, mu_c, mu_d = \ + contingency_table_multiclass(mu_yt[ki], mu_yt[kj], mu_y) + assert np.sum(mu_Cij) == (mu_a + mu_b + mu_c + mu_d) == nb_inst + + +def test_number_individual(): + from pyfair.marble.diver_nonpairwise import ( + number_individuals_correctly, + number_individuals_fall_through) + rho_tr = number_individuals_correctly(tr_yt, tr_y) + rho_bi = number_individuals_correctly(bi_yt, bi_y) + rho_mu = number_individuals_correctly(mu_yt, mu_y) + assert np.all(np.equal(rho_tr, rho_bi)) + assert np.sum(rho_tr) == np.sum(rho_bi) <= nb_inst * nb_cls + assert np.sum(rho_mu) <= nb_inst * nb_cls + + pi_tr = number_individuals_fall_through(tr_yt, tr_y, nb_cls) + pi_bi = number_individuals_fall_through(bi_yt, bi_y, nb_cls) + pi_mu = number_individuals_fall_through(mu_yt, mu_y, nb_cls) + assert np.all(np.equal(pi_tr, pi_bi)) + assert check_equal(np.sum(pi_tr), 1.) + assert check_equal(np.sum(pi_bi), 1.) + assert check_equal(np.sum(pi_mu), 1.) + + pi_tr = np.array(pi_tr) + pi_bi = np.array(pi_bi) + pi_mu = np.array(pi_mu) + assert np.all((pi_tr >= 0) & (pi_tr <= 1)) + assert np.all((pi_bi >= 0) & (pi_tr <= 1)) + assert np.all((pi_mu >= 0) & (pi_mu <= 1)) + + +# ------------------------------ +# Pairwise + + +def test_q_statistic(): + from pyfair.marble.diver_pairwise import ( + Q_statistic_multiclass, + Q_Statistic_binary, + Q_Statistic_multi) + # ki, kj = 0, 1 + + bi_ans_bi = Q_Statistic_binary(bi_yt[ki], bi_yt[kj]) + tr_ans_bi = Q_Statistic_binary(tr_yt[ki], tr_yt[kj]) + bi_ans_mu = Q_Statistic_multi(bi_yt[ki], bi_yt[kj], bi_y) + tr_ans_mu = Q_Statistic_multi(tr_yt[ki], tr_yt[kj], tr_y) + bi_ans_re = Q_statistic_multiclass(bi_yt[ki], bi_yt[kj], bi_y) + tr_ans_re = Q_statistic_multiclass(tr_yt[ki], tr_yt[kj], tr_y) + + assert bi_ans_bi == bi_ans_mu == tr_ans_bi == tr_ans_mu + assert bi_ans_re == tr_ans_re + assert abs(tr_ans_re) == abs(bi_ans_re) <= 1 + assert abs(tr_ans_bi) == abs(bi_ans_bi) <= 1 + # assert tr_ans_re * tr_ans_bi >= 0 # the same sign + # NOTICE: It's possible that they are not the same sign + + mu_ans_mu = Q_Statistic_multi(mu_yt[ki], mu_yt[kj], mu_y) + mu_ans_re = Q_statistic_multiclass(mu_yt[ki], mu_yt[kj], mu_y) + assert -1 <= mu_ans_mu <= 1 + assert -1 <= mu_ans_re <= 1 + + +def test_kappa_statistic(): + from pyfair.marble.diver_pairwise import \ + kappa_statistic_multiclass as kpa_multiclass + from pyfair.marble.diver_pairwise import \ + Kappa_Statistic_binary as KStat_binary + from pyfair.marble.diver_pairwise import \ + Kappa_Statistic_multi as KStat_multi + + bi_ans_bi = KStat_binary(bi_yt[ki], bi_yt[kj], nb_inst) + tr_ans_bi = KStat_binary(tr_yt[ki], tr_yt[kj], nb_inst) + bi_ans_mu = KStat_multi(bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + tr_ans_mu = KStat_multi(tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + bi_ans_re = kpa_multiclass(bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + tr_ans_re = kpa_multiclass(tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + + assert bi_ans_bi == bi_ans_mu[0] == tr_ans_bi == tr_ans_mu[0] + assert bi_ans_re == tr_ans_re + assert abs(tr_ans_re) <= 1 + assert abs(tr_ans_bi) <= 1 + assert 0 <= bi_ans_mu[1] == tr_ans_mu[1] <= 1 # theta1 + assert 0 <= bi_ans_mu[2] == tr_ans_mu[2] <= 1 # theta2 + # assert np.sign(tr_ans_bi) == np.sign(tr_ans_re) + # NOTICE: It's possible that they are not the same sign + + mu_ans_re = kpa_multiclass(mu_yt[ki], mu_yt[kj], mu_y, nb_inst) + mu_ans_mu = KStat_multi(mu_yt[ki], mu_yt[kj], mu_y, nb_inst) + assert -1 <= mu_ans_re <= 1 + assert -1 <= mu_ans_mu[0] <= 1 # kappa_p + assert 0 <= mu_ans_mu[1] <= 1 # theta1 + assert 0 <= mu_ans_mu[2] <= 1 # theta2 + # It's possible that np.sign(mu_ans_re) != np.sign(mu_ans_mu[0]) + + +def test_disagreement(): + from pyfair.marble.diver_pairwise import \ + disagreement_measure_multiclass as dis_multiclass + from pyfair.marble.diver_pairwise import \ + Disagreement_Measure_binary as Disag_binary + from pyfair.marble.diver_pairwise import \ + Disagreement_Measure_multi as Disag_multi + + bi_ans_bi = Disag_binary(bi_yt[ki], bi_yt[kj], nb_inst) + tr_ans_bi = Disag_binary(tr_yt[ki], tr_yt[kj], nb_inst) + bi_ans_mu = Disag_multi(bi_yt[ki], bi_yt[kj], nb_inst) + tr_ans_mu = Disag_multi(tr_yt[ki], tr_yt[kj], nb_inst) + bi_ans_re = dis_multiclass(bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + tr_ans_re = dis_multiclass(tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + + assert bi_ans_bi == bi_ans_mu == tr_ans_bi == tr_ans_mu + assert bi_ans_re == tr_ans_re == tr_ans_bi + assert 0 <= tr_ans_re <= 1 + + mu_ans_re = dis_multiclass(mu_yt[ki], mu_yt[kj], mu_y, nb_inst) + mu_ans_mu = Disag_multi(mu_yt[ki], mu_yt[kj], nb_inst) + assert 0 <= mu_ans_re <= 1 + assert 0 <= mu_ans_mu <= 1 + + +def test_correlation_coefficient(): + from pyfair.marble.diver_pairwise import \ + correlation_coefficient_multiclass as cor_multiclass + from pyfair.marble.diver_pairwise import \ + Correlation_Coefficient_binary as Corre_binary + from pyfair.marble.diver_pairwise import \ + Correlation_Coefficient_multi as Corre_multi + from pyfair.marble.diver_pairwise import ( + Q_statistic_multiclass, Q_Statistic_binary, + Q_Statistic_multi) + + bi_ans_bi = Corre_binary(bi_yt[ki], bi_yt[kj]) + tr_ans_bi = Corre_binary(tr_yt[ki], tr_yt[kj]) + bi_ans_mu = Corre_multi(bi_yt[ki], bi_yt[kj], bi_y) + tr_ans_mu = Corre_multi(tr_yt[ki], tr_yt[kj], tr_y) + bi_ans_re = cor_multiclass(bi_yt[ki], bi_yt[kj], bi_y) + tr_ans_re = cor_multiclass(tr_yt[ki], tr_yt[kj], tr_y) + + assert bi_ans_bi == bi_ans_mu == tr_ans_bi == tr_ans_mu + assert bi_ans_re == tr_ans_re + assert abs(tr_ans_bi) == abs(bi_ans_bi) <= 1 + assert abs(tr_ans_re) == abs(bi_ans_re) <= 1 + # It's possible that np.sign(tr_ans_bi) != np.sign(tr_ans_re) + + mu_ans_re = cor_multiclass(mu_yt[ki], mu_yt[kj], mu_y) + mu_ans_mu = Corre_multi(mu_yt[ki], mu_yt[kj], mu_y) + assert np.abs(mu_ans_re) <= 1 + assert np.abs(mu_ans_mu) <= 1 + # It's possible that np.sign(mu_ans_re) != np.sign(mu_ans_mu) + + # from pyfair.junior.diver_pairwise import ( + # Q_statistic_multiclass, Q_Statistic_binary) + tem_re = Q_statistic_multiclass(mu_yt[ki], mu_yt[kj], mu_y) + assert abs(tem_re) >= abs(mu_ans_re) + tem_re = Q_Statistic_binary(bi_yt[ki], bi_yt[ki]) + assert abs(tem_re) >= abs(bi_ans_bi) + + # from pyfair.junior.diver_pairwise import Q_Statistic_multi + tem_re = Q_Statistic_multi(mu_yt[ki], mu_yt[kj], mu_y) + assert abs(tem_re) >= abs(mu_ans_mu) + + +def test_double_fault(): + from pyfair.marble.diver_pairwise import \ + double_fault_measure_multiclass as dbl_multiclass + from pyfair.marble.diver_pairwise import \ + Double_Fault_Measure_binary_multi as DoubF_multi + + bi_ans_bi = DoubF_multi(bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + tr_ans_bi = DoubF_multi(tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + bi_ans_re = dbl_multiclass(bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + tr_ans_re = dbl_multiclass(tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + + assert bi_ans_bi == tr_ans_bi and bi_ans_re == tr_ans_re + assert 0 <= bi_ans_bi == bi_ans_re == tr_ans_bi == tr_ans_re <= 1 + + mu_ans_re = dbl_multiclass(mu_yt[ki], mu_yt[kj], mu_y, nb_inst) + mu_ans_mu = DoubF_multi(mu_yt[ki], mu_yt[kj], mu_y, nb_inst) + assert 0 <= mu_ans_re == mu_ans_mu <= 1 + + +# ------------------------------ +# Non-Pairwise + + +def test_KW_variance(): + from pyfair.marble.diver_nonpairwise import \ + Kohavi_Wolpert_variance_multiclass as KWVar_multiclass + bi_ans = KWVar_multiclass(bi_yt, bi_y, nb_inst, nb_cls) + tr_ans = KWVar_multiclass(tr_yt, tr_y, nb_inst, nb_cls) + mu_ans = KWVar_multiclass(mu_yt, mu_y, nb_inst, nb_cls) + assert 0 <= bi_ans == tr_ans <= 1. / 4 + assert 0 <= mu_ans <= 1. / 4 + + +def test_interrater_agreement(): + from pyfair.marble.diver_nonpairwise import \ + interrater_agreement_multiclass as Inter_multiclass + bi_ans = Inter_multiclass(bi_yt, bi_y, nb_inst, nb_cls) + tr_ans = Inter_multiclass(tr_yt, tr_y, nb_inst, nb_cls) + mu_ans = Inter_multiclass(mu_yt, mu_y, nb_inst, nb_cls) + assert bi_ans == tr_ans <= 1 + assert mu_ans <= 1 + + +def test_entropy_cc_sk(): + from pyfair.marble.diver_nonpairwise import ( + Entropy_cc_multiclass, Entropy_sk_multiclass) + + bi_ans = Entropy_cc_multiclass(bi_yt, bi_y) + tr_ans = Entropy_cc_multiclass(tr_yt, tr_y) + mu_ans = Entropy_cc_multiclass(mu_yt, mu_y) + assert 0 <= bi_ans == tr_ans <= 1 + assert 0 < mu_ans <= 1 + + bi_ans = Entropy_sk_multiclass(bi_yt, bi_y, nb_cls) + tr_ans = Entropy_sk_multiclass(tr_yt, tr_y, nb_cls) + mu_ans = Entropy_sk_multiclass(mu_yt, mu_y, nb_cls) + assert 0 <= bi_ans == tr_ans <= 1 + assert 0 <= mu_ans <= 1 + + +def test_difficulty(): + from pyfair.marble.diver_nonpairwise import difficulty_multiclass + bi_ans = difficulty_multiclass(bi_yt, bi_y) + tr_ans = difficulty_multiclass(tr_yt, tr_y) + mu_ans = difficulty_multiclass(mu_yt, mu_y) + assert 0 <= bi_ans == tr_ans <= 1 + assert 0 <= mu_ans <= 1 + + +def test_generalized(): + from pyfair.marble.diver_nonpairwise import \ + generalized_diversity_multiclass as GeneD_multiclass + from pyfair.marble.diver_nonpairwise import \ + Generalized_Diversity_multi as GeneD_multi + + bi_ans_re = GeneD_multiclass(bi_yt, bi_y, nb_cls) + tr_ans_re = GeneD_multiclass(tr_yt, tr_y, nb_cls) + mu_ans_re = GeneD_multiclass(mu_yt, mu_y, nb_cls) + assert bi_ans_re == tr_ans_re <= 1 + assert mu_ans_re <= 1 + + bi_ans_mu = GeneD_multi(bi_yt, bi_y, nb_inst, nb_cls) + tr_ans_mu = GeneD_multi(tr_yt, tr_y, nb_inst, nb_cls) + mu_ans_mu = GeneD_multi(mu_yt, mu_y, nb_inst, nb_cls) + assert bi_ans_mu == tr_ans_mu <= 1 + assert mu_ans_re <= 1 + + assert bi_ans_re == bi_ans_mu == tr_ans_re == tr_ans_mu <= 1 + assert mu_ans_re == mu_ans_mu <= 1 + + +def test_coincident_failure(): + from pyfair.marble.diver_nonpairwise import \ + coincident_failure_multiclass + bi_ans = coincident_failure_multiclass(bi_yt, bi_y, nb_cls) + tr_ans = coincident_failure_multiclass(tr_yt, tr_y, nb_cls) + mu_ans = coincident_failure_multiclass(mu_yt, mu_y, nb_cls) + assert 0 <= bi_ans == tr_ans <= 1 + assert 0 <= mu_ans <= 1 + + +# ------------------------------ +# General + + +def test_pairwise_item(): + from pyfair.facil.utils_remark import PAIRWISE + from pyfair.marble.diver_pairwise import ( + pairwise_measure_item_multiclass, + pairwise_measure_item_binary, + pairwise_measure_item_multi) + for name_div in sorted(PAIRWISE.keys()): + tr_ans_re = pairwise_measure_item_multiclass( + name_div, tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + bi_ans_re = pairwise_measure_item_multiclass( + name_div, bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + mu_ans_re = pairwise_measure_item_multiclass( + name_div, mu_yt[ki], mu_yt[kj], mu_y, nb_inst) + + tr_ans_bi = pairwise_measure_item_binary( + PAIRWISE[name_div], tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + bi_ans_bi = pairwise_measure_item_binary( + PAIRWISE[name_div], bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + tr_ans_mu = pairwise_measure_item_multi( + PAIRWISE[name_div], tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + bi_ans_mu = pairwise_measure_item_multi( + PAIRWISE[name_div], bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + mu_ans_mu = pairwise_measure_item_multi( + PAIRWISE[name_div], mu_yt[ki], mu_yt[kj], mu_y, nb_inst) + + if name_div in ['Disag', 'DoubF']: + assert tr_ans_re == tr_ans_bi == tr_ans_mu + assert bi_ans_re == bi_ans_bi == bi_ans_mu + else: + assert tr_ans_bi == tr_ans_mu == bi_ans_bi == bi_ans_mu + assert tr_ans_re == bi_ans_re + assert all(isinstance( + i, float) for i in [tr_ans_re, bi_ans_re, mu_ans_re]) + assert all(isinstance( + i, float) for i in [tr_ans_bi, bi_ans_bi]) + assert all(isinstance( + i, float) for i in [tr_ans_mu, bi_ans_mu, mu_ans_mu]) + + +def test_pairwise_gather(): + from pyfair.facil.utils_remark import PAIRWISE + from pyfair.marble.diver_pairwise import ( + pairwise_measure_gather_multiclass, + pairwise_measure_whole_binary, + pairwise_measure_whole_multi) + for name_div in sorted(PAIRWISE.keys()): + tr_ans_re = pairwise_measure_gather_multiclass( + name_div, tr_yt, tr_y, nb_inst, nb_cls) + bi_ans_re = pairwise_measure_gather_multiclass( + name_div, bi_yt, bi_y, nb_inst, nb_cls) + mu_ans_re = pairwise_measure_gather_multiclass( + name_div, mu_yt, mu_y, nb_inst, nb_cls) + + tr_ans_bi = pairwise_measure_whole_binary( + PAIRWISE[name_div], tr_yt, tr_y, nb_inst, nb_cls) + bi_ans_bi = pairwise_measure_whole_binary( + PAIRWISE[name_div], bi_yt, bi_y, nb_inst, nb_cls) + tr_ans_mu = pairwise_measure_whole_multi( + PAIRWISE[name_div], tr_yt, tr_y, nb_inst, nb_cls) + bi_ans_mu = pairwise_measure_whole_multi( + PAIRWISE[name_div], bi_yt, bi_y, nb_inst, nb_cls) + mu_ans_mu = pairwise_measure_whole_multi( + PAIRWISE[name_div], mu_yt, mu_y, nb_inst, nb_cls) + + assert tr_ans_re == bi_ans_re + assert tr_ans_bi == tr_ans_mu == bi_ans_bi == bi_ans_mu + if name_div in ['Disag', 'DoubF']: + assert tr_ans_re == tr_ans_bi == tr_ans_mu + assert bi_ans_re == bi_ans_bi == bi_ans_mu + assert all(isinstance( + i, float) for i in [tr_ans_re, tr_ans_bi, tr_ans_mu]) + assert all(isinstance( + i, float) for i in [bi_ans_re, bi_ans_bi, bi_ans_mu]) + assert all(isinstance( + i, float) for i in [mu_ans_re, mu_ans_mu]) + + +def test_nonpairwise(): + from pyfair.facil.utils_remark import NONPAIRWISE + from pyfair.marble.diver_nonpairwise import ( + nonpairwise_measure_gather_multiclass, + nonpairwise_measure_item_multiclass) + for name_div in sorted(NONPAIRWISE.keys()): + tr_ans_re = nonpairwise_measure_gather_multiclass( + name_div, tr_yt, tr_y, nb_inst, nb_cls) + bi_ans_re = nonpairwise_measure_gather_multiclass( + name_div, bi_yt, bi_y, nb_inst, nb_cls) + mu_ans_re = nonpairwise_measure_gather_multiclass( + name_div, mu_yt, mu_y, nb_inst, nb_cls) + + tr_ans_it = nonpairwise_measure_item_multiclass( + name_div, tr_yt[ki], tr_yt[kj], tr_y, nb_inst) + bi_ans_it = nonpairwise_measure_item_multiclass( + name_div, bi_yt[ki], bi_yt[kj], bi_y, nb_inst) + mu_ans_it = nonpairwise_measure_item_multiclass( + name_div, mu_yt[ki], mu_yt[kj], mu_y, nb_inst) + + assert all(isinstance( + i, float) for i in [tr_ans_re, bi_ans_re, mu_ans_re]) + assert all(isinstance( + i, float) for i in [tr_ans_it, bi_ans_it, mu_ans_it]) + + +def test_contrastive(): + from pyfair.facil.utils_remark import AVAILABLE_NAME_DIVER + tr_ha, tr_hb = tr_yt[ki], tr_yt[kj] + bi_ha, bi_hb = bi_yt[ki], bi_yt[kj] + mu_ha, mu_hb = mu_yt[ki], mu_yt[kj] + + from pyfair.granite.ensem_diversity import \ + contrastive_diversity_gather_multiclass as gather_mc + from pyfair.granite.ensem_diversity import \ + contrastive_diversity_item_multiclass as item_mc + from pyfair.granite.ensem_diversity import \ + contrastive_diversity_by_instance_multiclass as inst_mc + + from pyfair.granite.ensem_diversity import \ + contrastive_diversity_whole_binary as whole_bi + from pyfair.granite.ensem_diversity import \ + contrastive_diversity_whole_multi as whole_mu + + for name_div in AVAILABLE_NAME_DIVER: + tr_ans_re = gather_mc(name_div, tr_y, tr_yt) + bi_ans_re = gather_mc(name_div, bi_y, bi_yt) + mu_ans_re = gather_mc(name_div, mu_y, mu_yt) + assert all(isinstance( + i, float) for i in [tr_ans_re, bi_ans_re, mu_ans_re]) + + tr_ans_bi = whole_bi(name_div, tr_y, tr_yt) + bi_ans_bi = whole_bi(name_div, bi_y, bi_yt) + tr_ans_mu = whole_mu(name_div, tr_y, tr_yt) + bi_ans_mu = whole_mu(name_div, bi_y, bi_yt) + mu_ans_mu = whole_mu(name_div, mu_y, mu_yt) + assert tr_ans_bi == tr_ans_mu == bi_ans_bi == bi_ans_mu + assert tr_ans_re == bi_ans_re + if name_div in ['Disag', 'DoubF']: + assert tr_ans_re == tr_ans_bi == tr_ans_mu + assert bi_ans_re == bi_ans_bi == bi_ans_mu + assert all(isinstance( + i, float) for i in [tr_ans_bi, bi_ans_bi]) + assert all(isinstance( + i, float) for i in [tr_ans_mu, bi_ans_mu, mu_ans_mu]) + + tr_ans_re = item_mc(name_div, tr_y, tr_ha, tr_hb) + bi_ans_re = item_mc(name_div, bi_y, bi_ha, bi_hb) + mu_ans_re = item_mc(name_div, mu_y, mu_ha, mu_hb) + assert all(isinstance( + i, float) for i in [tr_ans_re, bi_ans_re, mu_ans_re]) + + tr_ans_re = inst_mc(name_div, tr_y, tr_yt) + bi_ans_re = inst_mc(name_div, bi_y, bi_yt) + mu_ans_re = inst_mc(name_div, mu_y, mu_yt) + assert np.all(np.equal(tr_ans_re, bi_ans_re)) + assert all(isinstance(i, float) for i in tr_ans_re) + assert all(isinstance(i, float) for i in bi_ans_re) + assert all(isinstance(i, float) for i in mu_ans_re) diff --git a/pyfair/granite/excl_test_draw_addtl.py b/pyfair/granite/excl_test_draw_addtl.py new file mode 100644 index 0000000..a77eaea --- /dev/null +++ b/pyfair/granite/excl_test_draw_addtl.py @@ -0,0 +1,420 @@ +# coding: utf-8 + + +import numpy as np +import pandas as pd +# from fairml.facilc.draw_addtl import ( +from pyfair.granite.draw_addtl import ( + multiple_lines_with_errorbar, box_plot, scatter_k_cv_with_real, + boxplot_k_cv_with_real, approximated_dist_comparison, + multiple_scatter_comparison, scatter_with_marginal_distrib, + line_reg_with_marginal_distr, single_line_reg_with_distr, + lineplot_with_uncertainty, multi_lin_reg_with_distr, + FairGBM_tradeoff_v3, FairGBM_tradeoff_v2) +lc_error_bar = multiple_lines_with_errorbar + + +# ----------------------- +# nucleus.utils_graph.py + + +def excl_excl_test_linechart(): + # from prgm.nucleus.utils_graph import line_chart + from pyfair.granite.draw_graph import line_chart + nb_thin, nb_lam2 = 5, 7 # 11 + data = np.random.rand(nb_thin, nb_lam2) * .3 + .7 + + pickup_thin = [0, 1, 2, 3, 4] + pickup_lam2 = list(range(nb_lam2)) + set_k2 = np.linspace(.05, .45, nb_thin) * 100 + set_lam2 = np.linspace(0, 1, nb_lam2) + + line_chart(data, pickup_thin, set_k2, pickup_lam2, set_lam2, + 'chart_c2') + + +def excl_excl_test_multi_line(): + # from prgm.nucleus.utils_graph import multiple_line_chart + from pyfair.granite.draw_graph import multiple_line_chart + num, nb_iter, baseline = 10, 5, 4 + X = np.linspace(0, 1, num) # doc issue # no issue + Ys = np.random.rand(num, baseline, nb_iter) + annotY = ['BS#' + str(i) for i in range(baseline)] + multiple_line_chart(X, Ys, annotY=annotY, + figname='mulin_lam') + multiple_line_chart(X, Ys[:, :, 0], annotY=annotY, + figname='mulin_lam_sing') + # Ys = [np.random.rand() for i in range(5)] + + +# ----------------------- +# nucleus.fair_graph.py + + +def excl_test_multi_lins(): + ''' + from prgm.nucleus.oracle_graph import multiple_line_chart as lc_v2 + from prgm.nucleus.utils_graph import multiple_line_chart as lc_v1 + from prgm.nucleus.oracle_graph import \ + multiple_lines_with_errorbar as lc_error_bar + ''' + # lc_error_bar = multiple_lines_with_errorbar + + num, nb_iter, baseline = 10, 5, 4 + X = np.linspace(0, 1, num) # doc issue # no issue + Ys = np.random.rand(num, baseline, nb_iter) * 10 + annotY = ['BS#' + str(i) for i in range(baseline)] + + # lc_v2(X, Ys) # , figname='lam_box') + # lc_v1(X, Ys, annotY=annotY, figname='lam_lin') + # pdb.set_trace() + lc_error_bar(X, Ys, picked_keys=annotY) + + +def excl_excl_test_box_plot(): + # from prgm.nucleus.oracle_graph import box_plot + nb_iter, baseline = 5, 4 + Ys = np.random.rand(baseline, nb_iter) * 100. + + annotYs = ['BS#{}'.format(i + 1) for i in range(baseline)] + box_plot(Ys, annotYs, annotY='Test Accuracy (%)') + + annotYs = [str(i + 1) for i in range(baseline)] + box_plot(Ys, annotYs, annotY='Acc (%)', annotX=r'$\lambda$', + figname='box_v2', rotate=0) + + +# ----------------------- +# nucleus.utils_graph.py + + +def excl_test_fairmanf_2nd(): + # from prgm.nucleus.oracle_graph import scatter_k_cv_with_real + num, nb_iter = 7, 3 + + X = np.arange(num) + 2 # 2. + # Ys = np.random.rand(nb_iter, num).T + 59.7 + Ys = np.random.rand(nb_iter, num) + 60. + z = np.random.rand(nb_iter) + 60 + + # scatter_k_cv_with_real(X, Ys.T, z) + scatter_k_cv_with_real(X, Ys, z, tidy_cv=False) + scatter_k_cv_with_real(X, Ys, z, figname='hyperpm_effect_p') + + # from prgm.nucleus.oracle_graph import boxplot_k_cv_with_real + boxplot_k_cv_with_real(X, Ys, z) + # from prgm.nucleus.oracle_graph import box_plot + box_plot(Ys.T, X, 'Approximated', 'pm', figname='hyperpm_lam') + + +def excl_test_fairmanf_1st(): + # from prgm.nucleus.oracle_graph import approximated_dist_comparison + num, nb_iter, nb_att = 7, 3, 2 + + # X = np.arange(num).tolist() # + 4. + X = np.arange(num) + 4. + Ys = np.random.rand(nb_att, nb_iter, num) * 10 + picked_keys = ['att#' + str(i + 1) for i in range(nb_att)] + approximated_dist_comparison(X, Ys, picked_keys) + + # from prgm.nucleus.oracle_graph import multiple_scatter_comparison + z = np.random.rand(nb_att, nb_iter) * 10 + multiple_scatter_comparison(X, Ys, z, picked_keys) + + +# ----------------------- +# Plot 2A, 2B +# https://blog.csdn.net/happy_wealthy/article/details/110646127 + + +def excl_test_fairmanf_exp2a(): + ''' + from prgm.nucleus.oracle_graph import scatter_with_marginal_distrib + from prgm.nucleus.oracle_graph import ( + lineplot_with_uncertainty, _uncertainty_plotting) + from prgm.nucleus.oracle_graph import line_reg_with_marginal_distr + from prgm.nucleus.oracle_graph import single_line_reg_with_distr + ''' + # from fairml.facilc.draw_addtl import _uncertainty_plotting + num, bl = 100, 4 + + dat_acc = np.random.rand(num) * .1 + .7 + dat_fir = np.random.rand(num, bl) * .1 + .6 + df = pd.DataFrame( + np.concatenate([dat_acc.reshape(-1, 1), dat_fir], axis=1), + columns=['acc', 'GM1', 'GM2', 'GM3', 'fair']) + + # df_little, df_middle, df_big + # df_all ['BV','BW'] lightgbm,fairgbm,bagging + df_1 = df[['acc', 'GM1']].rename(columns={'GM1': 'fair'}) + df_2 = df[['acc', 'GM2']].rename(columns={'GM2': 'fair'}) + df_3 = df[['acc', 'GM3']].rename(columns={'GM3': 'fair'}) + df_1['learning'] = 'DP' + df_2['learning'] = 'EO' + df_3['learning'] = 'PQP' + ''' + df_alternative = pd.concat([ + df_1, df_2, df_3], axis=0).reset_index(drop=True) # 合并表格 + ''' + + tag_Ys, picked_keys = ['GM1', 'GM2', 'GM3'], ['DP', 'EO', 'PQP'] + scatter_with_marginal_distrib( + df, 'acc', 'fair', tag_Ys, picked_keys, figname='chart_f3') + lineplot_with_uncertainty(df, 'acc', 'fair', tag_Ys, picked_keys, + figname='chart_f1') + lineplot_with_uncertainty(df, 'acc', 'fair', tag_Ys, picked_keys, + alpha_loc='af', figname='chart_f2') + + ''' + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, + invt_a=False, linreg=False, figname='chart_g1') + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, + invt_a=False, linreg=True, snspec=True, figname='chart_g2') + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, + invt_a=False, linreg=True, snspec=False, figname='chart_g3') + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, + invt_a=True, linreg=False, figname='chart_g4') + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, + invt_a=True, linreg=True, snspec=True, figname='chart_g5') + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, + invt_a=True, linreg=True, snspec=False, figname='chart_g6') + ''' + + for i in range(4 + 2): + snspec = 'sty' + str(i) + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, invt_a=False, + snspec=snspec, figname='chart_gx_g{}'.format(i)) + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, invt_a=True, + snspec=snspec, figname='chart_gy_g{}'.format(i)) + + for snspec in ['sty4a', 'sty4b']: + line_reg_with_marginal_distr( + df, 'acc', 'fair', tag_Ys, picked_keys, invt_a=False, + snspec=snspec, figname='chart_gx_g{}'.format(snspec[-2:])) + + tX = df['acc'].values.astype('float') + tY = df['fair'].values.astype('float') + single_line_reg_with_distr(tX, tY, figname='chart_hd1', snspec='sty1') + single_line_reg_with_distr(tX, tY, distrib=True, figname='chart_hd2') + single_line_reg_with_distr( + tX, tY, distrib=True, snspec='sty5', figname='chart_hd5') + for snspec in ['sty2', 'sty4', 'sty6']: + single_line_reg_with_distr( + tX, tY, linreg=True, snspec=snspec, + figname='chart_hl{}'.format(snspec[-1])) + for snspec in ['sty3a', 'sty3b']: + single_line_reg_with_distr( + tX, tY, linreg=True, snspec=snspec, + figname='chart_hl{}'.format(snspec[-2:])) + + +def generate_dfs(num, bl): + dat_acc = np.random.rand(num) * .1 + .7 + dat_fir = np.random.rand(num, bl) * .1 + .6 + df = pd.DataFrame(np.concatenate([ + dat_acc.reshape(-1, 1), dat_fir], axis=1), columns=[ + 'acc', 'GM1', 'GM2', 'GM3', 'fair']) + + df_1 = df[['acc', 'GM1']].rename(columns={'GM1': 'fair'}) + df_2 = df[['acc', 'GM2']].rename(columns={'GM2': 'fair'}) + df_3 = df[['acc', 'GM3']].rename(columns={'GM3': 'fair'}) + df_1['learning'] = 'DP' + df_2['learning'] = 'EO' + df_3['learning'] = 'PQP' + df_alternative = pd.concat([ + df_1, df_2, df_3], axis=0).reset_index(drop=True) # 合并表格 + + tag_Ys = ['GM1', 'GM2', 'GM3'] + picked_keys = ['DP', 'EO', 'PQP'] + col_X, col_Y = 'acc', 'fair' + return df, df_alternative, tag_Ys, picked_keys, col_X, col_Y + + +def test_fairmanf_exp2b(): + # from prgm.nucleus.oracle_graph import ( + # line_reg_with_marginal_distr, single_line_reg_with_distr, + # scatter_with_marginal_distrib, lineplot_with_uncertainty) + num, bl = 100, 4 + df, _, tag_Ys, picked_keys, col_X, col_Y = generate_dfs(num, bl) + assert isinstance(tag_Ys, list) + + scatter_with_marginal_distrib( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_sd1') + ''' + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_sd2') + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_sd3', + distrib=False) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_sd4', + invt_a=True) + # default: invt_a=False, snspec='sty0', distrib=True, + ''' + + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr5', + snspec='sty5') + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr4a', + snspec='sty4a', identity='identity') + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr4b', + snspec='sty4b', identity='identity') + + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr5p', + snspec='sty5', distrib=False, identity=' identity') + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr4ap', + snspec='sty4a', identity='identity', distrib=False) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr4bp', + snspec='sty4b', identity='identity', distrib=False) + + ''' + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr1', + snspec='sty1') + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr3', + snspec='sty3') + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr2', + snspec='sty2') + + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr1p', + snspec='sty1', distrib=False) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr3p', + snspec='sty3', distrib=False) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, figname='chart_slr2p', + snspec='sty2', distrib=False) + ''' + + +# ----------------------- + + +# ----------------------- +# nucleus.utils_graph.py + + +def test_fairmanf_ext_plt3(): + # from prgm.nucleus.oracle_graph import ( + # single_line_reg_with_distr, multi_lin_reg_with_distr) + num, bl = 100, 4 + df, _, tag_Ys, picked_keys, _, _ = generate_dfs(num, bl) + assert isinstance(tag_Ys, list) and len(tag_Ys) == 3 + assert len(picked_keys) == 3 # _,_: col_X,col_Y + + tX = df['acc'].values.astype('float') + tY = df['fair'].values.astype('float') + # single_line_reg_with_distr(tX, tY, figname='chart_hd1', snspec='sty1') + ''' + single_line_reg_with_distr(tX, tY, distrib=True, figname='chart_hd2a') + single_line_reg_with_distr(tX, tY, distrib=True, snspec='sty5', figname='chart_hd5') + single_line_reg_with_distr(tX, tY, linreg=True, snspec='sty2', figname='chart_hd2b') + single_line_reg_with_distr(tX, tY, linreg=True, snspec='sty3a', figname='chart_hd3a') + ''' + single_line_reg_with_distr(tX, tY, linreg=True, snspec='sty3b', figname='chart_hd3b') + single_line_reg_with_distr(tX, tY, linreg=True, snspec='sty4', figname='chart_hd4') + single_line_reg_with_distr(tX, tY, linreg=True, snspec='sty6', figname='chart_hl6') + + # df, df_alt, _, _, _, _ = + tZ = np.random.rand(num) * .2 + tXs = [tX + tZ, tX - tZ] + tYs = [[df['GM1'].values.astype('float'), + df['GM2'].values.astype('float')], + df['GM3'].values.astype('float')] + # multi_lin_reg_with_distr(tXs, tYs, snspec='sty6', figname='chart_md6') + # multi_lin_reg_with_distr(tXs, tYs, snspec='sty4', figname='chart_md4') + # multi_lin_reg_with_distr(tXs, tYs, snspec='sty3a', figname='chart_md3a') + # multi_lin_reg_with_distr(tXs, tYs, snspec='sty3b', figname='chart_md3b') + tZs = [['GM1', 'GM2'], 'GM3'] + multi_lin_reg_with_distr( + tXs, tYs, tZs, snspec='sty6', figname='chart_md6') + multi_lin_reg_with_distr( + tXs, tYs, tZs, snspec='sty4', figname='chart_md4') + multi_lin_reg_with_distr( + tXs, tYs, tZs, snspec='sty3a', figname='chart_md3a') + multi_lin_reg_with_distr( + tXs, tYs, tZs, snspec='sty3b', figname='chart_md3b') + + # pdb.set_trace() + return + + +def test_fairmanf_ext_plt4s(): + # from prgm.nucleus.oracle_graph import ( + # scatter_with_marginal_distrib, line_reg_with_marginal_distr) + num, bl = 100, 4 + df, _, tag_Ys, picked_keys, col_X, col_Y = generate_dfs(num, bl) + scatter_with_marginal_distrib(df, col_X, col_Y, tag_Ys, picked_keys, figname='cheers_ls0') + line_reg_with_marginal_distr(df, col_X, col_Y, tag_Ys, picked_keys, figname='cheers_li0') + kws = {'identity': 'identity'} # None} + + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, + snspec='sty1', figname='cheers_li1') # ,**kws) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, + snspec='sty1', figname='cheers_li1p', **kws) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, + snspec='sty5a', figname='cheers_li5a', identity=None) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, + snspec='sty5b', figname='cheers_li5b', **kws) + + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, + snspec='sty4a', figname='cheers_li4a', **kws) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, + snspec='sty4b', figname='cheers_li4b', **kws) + + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, + snspec='sty2', figname='cheers_li2') # ,**kws) + line_reg_with_marginal_distr( + df, col_X, col_Y, tag_Ys, picked_keys, + snspec='sty3', figname='cheers_li3') # ,**kws) + # line_reg_with_marginal_distr(df, col_X, col_Y, tag_Ys, picked_keys, snspec='sty6', figname='cheers_li6', **kws) + + return + + +# ----------------------- + + +def test_fairGBM(): + # from prgm.nucleus.oracle_graph import ( + # FairGBM_scatter, FairGBM_tradeoff_v1, + # FairGBM_tradeoff_v2, FairGBM_tradeoff_v3) + n, it = 3, 11 # nb_model + annot_model = ['Model {}'.format(i + 1) for i in range(n)] + # annot_fair = ['DP', 'EO', 'PQP', 'DR'] + label = ('error rate', 'Fairness') + Xs = np.random.rand(n, it) + Ys = np.random.rand(n, it) + kws = {'num_gap': 100, 'alpha_loc': 'b4'} + FairGBM_tradeoff_v3(Xs, Ys, annot_model, label, + figname='fairgbm_v3', **kws) + FairGBM_tradeoff_v2(Xs, Ys, annot_model, label, + figname='fairgbm_v2', **kws) + # pdb.set_trace() + return + + +# ----------------------- diff --git a/pyfair/granite/excl_test_draw_chart.py b/pyfair/granite/excl_test_draw_chart.py new file mode 100644 index 0000000..593b6ad --- /dev/null +++ b/pyfair/granite/excl_test_draw_chart.py @@ -0,0 +1,138 @@ +# coding: utf-8 + +import numpy as np +# from prgm.nucleus.utils_chart import * +# from fairml.facilc.draw_chart import ( +from pyfair.granite.draw_chart import ( + # multi_scatter_hor, multi_scatter_vrt, multiple_scatter_chart, + multiple_scatter_chart, + analogous_confusion, multiple_scatter_alternative, + analogous_confusion_alternative, single_hist_chart, + lines_with_std_3d, lines_with_std_2d, discrete_bar_comparison, + PLT_LOCATION, PLT_FRAMEBOX, _line_std_drawer) +# from pyfair.senior.draw_chart import _setup_config, _setup_figshow + +np.random.seed(1523) +sz = 21 +# df = pd.DataFrame({'X': X, 'Y': Ys[0]}) +annots = ('X', 'Ys') +annotZs = ('Y1', 'Y2', 'Y3', 'Y4') + + +def test_multi_scatter(): + # figsize, base, locate = 'M-WS', None, PLT_LOCATION + # fsz = (7, 6) + identity, figname = False, 'chart_d' + + X = np.random.randint(100, size=sz).astype('float') + Ys = np.random.rand(4, sz).transpose() * 100 + Ys = Ys.T + + # ''' + # multi_scatter_hor(X, Ys, annots, annotZs, figname + '1', + # figsize, identity, base, locate) + # multi_scatter_vrt(X, Ys, annots, annotZs, figname + '2', + # figsize, identity, base, locate) + # ''' + + # identity = False + multiple_scatter_chart( + X, Ys, annots, annotZs, figname, ind_hv='h', + identity=identity) + multiple_scatter_chart( + X, Ys, annots, annotZs, figname, ind_hv='v', + identity=identity) + + +def test_mu_scatter_alter(): + # from prgm.nucleus.utils_chart import ( + from pyfair.granite.draw_chart import ( + _alternative_multi_scatter_hor, + _alternative_multi_scatter_vrt) + identity, locate, box = True, PLT_LOCATION, PLT_FRAMEBOX + invt, fn = True, 'chart_e' + + # https://www.apa.org/topics/racism-bias-discrimination/types-stress + # race, gender, age, or sexual orientation. + sens = ['race', 'sex', 'age', 'orientate'] + kwargs = {"handletextpad": .04, "borderpad": .27} + Zs = [np.random.rand(4, sz) for _ in range(4)] + N = [np.random.rand(sz) for _ in range(4)] + + _alternative_multi_scatter_hor( + N, Zs, sens, annots, annotZs, fn + '3', + identity, locate, box, invt, kwargs) + _alternative_multi_scatter_vrt( + N, Zs, sens, annots, annotZs, fn + '4', + identity, locate, box, invt, kwargs) + + multiple_scatter_alternative( + N, Zs, sens, annots, annotZs, fn, ind_hv='h') + multiple_scatter_alternative( + N, Zs, sens, annots, annotZs, fn, ind_hv='v') + + +def test_analogous_confu(): + nb_iter, criteria = 5, 7 + Mat = np.random.rand(nb_iter, criteria) * 100 + key = ['Acc', 'P', 'R', 'F_1', 'tpr', 'fpr', 'fnr'] + + fn = 'chart_f' + Mat = Mat.T + key[3] = r'f$_1$' # r'$f_1$' + + analogous_confusion(Mat, key, fn + '5') + + sens = ['race', 'sex', 'age', 'orientate'] + analogous_confusion_alternative( + [Mat for _ in range(4)], sens, key, fn + '6') + analogous_confusion_alternative( + [Mat for _ in range(4)], sens, key, fn + '6p', + normalize=True) + + +def test_hist_chart(): + # from prgm.nucleus.utils_chart import ( + # from fairml.facilc.draw_chart import ( + # _line_std_drawer, _line_std_colors) + + Ys = np.random.rand(sz, 4).tolist() + Y_avg = np.mean(Ys, axis=0) + Y_std = np.std(Ys, axis=0) + sens = ['race', 'sex', 'age', 'orient'] + + single_hist_chart( + Y_avg, Y_std, sens, 'X', 'Y', 'chart_f7', rotate=15) + + avg_1, r1_p, r2_p = _line_std_drawer(Ys) + avg_0, r1_q, r2_q = _line_std_drawer(Ys, ddof=0) + assert np.all(np.equal(avg_1, avg_0)) + assert len(r1_p) == len(r2_p) == len(r1_q) == len(r2_q) + + X = np.random.rand(sz).tolist() + X = sorted(X) + Ys = np.transpose(Ys).tolist() + lines_with_std_2d(X, Ys, 'chart_f8', annotY=sens) + + nb_iter = 5 + Ys = np.random.rand(4, sz, nb_iter).tolist() + lines_with_std_3d(X, Ys, 'chart_f9', annotY=sens) + + +def test_cfalab_bar(): + _mx = 5 # _max + IndexSlices = np.random.randint(_mx, size=[4, _mx]) + SubIndices = np.random.randint(_mx, size=[2, _mx]) + + fn = 'chart_g0' + # d1, d2 = + discrete_bar_comparison(IndexSlices, SubIndices, fn) + discrete_bar_comparison( + IndexSlices, SubIndices, fn, split=False) + + fn = fn.replace('g0', 'h0') + # d3, d4 = + discrete_bar_comparison( + IndexSlices, SubIndices, fn, density=True) + discrete_bar_comparison( + IndexSlices, SubIndices, fn, density=True, split=False) diff --git a/pyfair/granite/excl_test_draw_graph.py b/pyfair/granite/excl_test_draw_graph.py new file mode 100644 index 0000000..cac5fd7 --- /dev/null +++ b/pyfair/granite/excl_test_draw_graph.py @@ -0,0 +1,204 @@ +# coding: utf-8 +# test_fairness.py + + +import numpy as np +import pandas as pd + +# from prgm.nucleus.utils_graph import * +# from fairml.facilc.draw_graph import ( +from pyfair.granite.draw_graph import ( + scatter_and_corr, sns_scatter_corr, Friedman_chart, + stat_chart_stack, stat_chart_group, visual_confusion_mat, + bar_chart_with_error, multiple_hist_chart, + twinx_hist_chart, twinx_bars_chart, line_chart, + baseline_subchart, histogram_chart, sns_corr_chart) +# from pyfair.senior.draw_graph import _setup_config, _setup_figshow + + +sz = 21 +X = np.random.randint(100, size=sz).astype('float') +Y = X + np.random.rand(sz) * 100 +df = pd.DataFrame({'X': X, 'Y': Y}) + +index_bar = np.array([[1, 2, 3], + [1, 2.5, 2.5], + [1, 2, 3], + [1, 2, 3]]) + +N, k = 4, 3 +avg_accuracy = np.random.rand(N, k) * .3 + .7 +pick_name_pru = ('Alg #A', 'Alg #B', 'Alg #C') + + +def test_scatter_corr(): + sns_scatter_corr(X, Y, 'chart_a1', 'M-WS') + sns_scatter_corr(X, Y, 'chart_a2', 'S-NT') + + scatter_and_corr(X, Y, 'chart_a3', 'M-WS') + scatter_and_corr(X, Y, 'chart_a4', 'S-NT') + + sens = np.random.randint(2, size=sz).tolist() + sens = ['Female' if i else 'Male' for i in sens] + sens = np.array(sens) + sns_corr_chart(X, Y, sens, 'chart_a5', 'S-NT') + + +def test_friedman_chart(): + avg_order = np.mean(index_bar, axis=0) + assert np.all(np.equal(avg_order, + [1, 2.125, 2.875])) + + # friedman_chart( + Friedman_chart( + index_bar, pick_name_pru, 'chart_b1', alpha=.05, + anotCD=True) + Friedman_chart( + index_bar, pick_name_pru, 'chart_b2', alpha=.1, + anotCD=True) + + stat_chart_stack( + index_bar, pick_name_pru, 'chart_b3') # .jpg + stat_chart_group(avg_accuracy * 100, + [1, 2, 3, 4], + pick_name_pru, 'chart_b4') + + +def test_visualise(): + y_true = [2, 0, 2, 2, 0, 1] + y_pred = [0, 0, 2, 2, 0, 2] + + visual_confusion_mat(y_true, y_pred, + ['high', 'medium', 'low'], + 'chart_b5') # .jpg + visual_confusion_mat(y_true, y_pred, + ['high', 'medium', 'low'], + 'chart_b6', normalize=False) + + visual_confusion_mat(y_true, y_pred, + ['high', 'medium', 'low'], + 'chart_b7', title='', + normalize=False) + + +def test_backslash(): + nb_set, nb_cmp = 11, 7 + pick_name_pru = [ + "Alg #" + str(i + 1) for i in range(nb_cmp)] + pickup_pru = list(range(nb_cmp)) + acc, tim = .3, 4.1 + nb_cls = 11 # nb_cls, nb_pru = 11, 5 + + greedy = np.random.rand(nb_set, nb_cmp) * acc + (1 - acc) + ddismi = np.random.rand(nb_set, nb_cmp) * acc + (1 - acc) + tc_grd = np.random.rand(nb_set, nb_cmp) + tim + tc_dsm = np.random.rand(nb_set, nb_cmp) + tim - 1 + sp_grd = np.random.randint(nb_cls - 1, size=(nb_set, nb_cmp)) + 1 + sp_dsm = np.random.randint(nb_cls - 2, size=(nb_set, nb_cmp)) + 2 + + bar_chart_with_error(greedy, ddismi, + tc_grd, tc_dsm, + sp_grd, sp_dsm, + pickup_pru, name_pru_set=pick_name_pru, + figname='chart_c1') + + def _helper(pickup_uat): + avg = np.zeros((2, nb_cmp)) + std = np.zeros((2, nb_cmp)) + + if pickup_uat == "ua": + grd, dsm = greedy, ddismi + elif pickup_uat == "ut": + grd, dsm = tc_grd, tc_dsm + elif pickup_uat == "us": + grd, dsm = sp_grd, sp_dsm + + avg[0, :] = np.mean(grd, axis=0) + avg[1, :] = np.mean(dsm, axis=0) + std[0, :] = np.std(grd, axis=0, ddof=1) + std[1, :] = np.std(dsm, axis=0, ddof=1) + + baseline_subchart(avg, std, pickup_uat, + pick_name_pru, 'chart_c3') + _helper("ua") + _helper("ut") + _helper("us") + + +def test_linechart(): + nb_thin, nb_lam2 = 5, 7 # 11 + data = np.random.rand(nb_thin, nb_lam2) * .3 + .7 + + pickup_thin = [0, 1, 2, 3, 4] + pickup_lam2 = list(range(nb_lam2)) + set_k2 = np.linspace(.05, .45, nb_thin) * 100 + set_lam2 = np.linspace(0, 1, nb_lam2) + + line_chart(data, pickup_thin, set_k2, pickup_lam2, set_lam2, + 'chart_c2') + + +def test_histchart(): + # from prgm.nucleus.utils_graph import _hist_calc_XY + from pyfair.granite.draw_graph import _hist_calc_XY + nb = 50 # nb, st = 50, 100 + figname = 'chart_c4' + + # X = np.random.rand(nb, 1) * 70 + # Y = np.random.rand(nb, 4) * 5 + X # or X.T + X = np.random.rand(nb) * 170 + Y = np.random.rand(nb, 4) * 35 + np.reshape(-1, 1) + X_avg, Y_avg, Y_std, ind = _hist_calc_XY(X, Y) + # pdb.set_trace() + # assert X.shape[0] == Y_avg.shape[0] == Y_std.shape[0] + # assert Y_avg.shape[1] == Y_std.shape[1] == len(ind) + assert Y_avg.shape[0] == Y_std.shape[0] == len(ind) + assert isinstance(X_avg, float) and X.shape[0] == nb + + # histogram_hor(X, Y, figname) + # histogram_vrt(X, Y, figname) + # histogram_chart(X, Y, figname, ind_hv='h') + # histogram_chart(X, Y, figname, ind_hv='v') + + annots = ['idx = {}'.format(i) for i in range(4)] + histogram_chart(X, Y, figname, annotX='X', + annotY=annots, ind_hv='h') + histogram_chart(X, Y, figname, annotX='X', + annotY=annots, ind_hv='v') + + # X_std = [X_avg, X_avg / 2] + Z = np.random.rand(nb, 2) * 170 + Z = np.c_[X, X / 2] + _, _, Y_std, ind = _hist_calc_XY(X, Y) # X_avg,Y_avg, + histogram_chart(Z, Y, figname, annotX='X', + annotY=annots, ind_hv='h') + histogram_chart(Z, Y, figname, annotX='X', + annotY=annots, ind_hv='v') + + +def test_multi_hists(): + # from prgm.nucleus.utils_graph import multiple_hist_chart + nb_pru, nb_fair = 10, 4 + + Ys_avg = np.random.rand(nb_pru, nb_fair) * 50 + Ys_std = np.random.rand(nb_pru, nb_fair) + picked_keys = ['Alg #' + str(i) for i in range(nb_pru)] + annots = ['GF ' + str(j) for j in range(1, nb_fair + 1)] + + # multiple_hist_chart(Ys_avg, Ys_std, picked_keys, annots, + # figname='chart_c5') + multiple_hist_chart(Ys_avg, Ys_std, picked_keys, + '', annots, figname='chart_c5') + + nb_pru = 3 # nb_pru, nb_comp = 3, 3 + Ys_avg = np.random.rand(nb_pru, nb_fair) * 50 + Ys_std = np.random.rand(nb_pru, nb_fair) + Yt_avg = np.random.rand(nb_pru, nb_fair - 1) * 40 + Yt_std = np.random.rand(nb_pru, nb_fair - 1) + picked_keys = ['Alg #' + str(i) for i in range(nb_pru)] + annots = ['GF ' + str(j + 1) for j in range(nb_fair * 2 - 1)] + twinx_hist_chart(Ys_avg, Ys_std, Yt_avg, Yt_std, + # picked_keys, '', annots, 'chart_c6') + picked_keys, annots, figname='chart_c6') + twinx_bars_chart(Ys_avg.T, Ys_std.T, Yt_avg.T, Yt_std.T, + picked_keys, annots, figname='chart_c7') diff --git a/pyfair/granite/excl_test_prulatest.py b/pyfair/granite/excl_test_prulatest.py new file mode 100644 index 0000000..f44c86a --- /dev/null +++ b/pyfair/granite/excl_test_prulatest.py @@ -0,0 +1,759 @@ +# coding: utf-8 +# ensem_prulately.py + +# from __future__ import absolute_import +# from __future__ import division +# from __future__ import print_function + + +# import pdb +import numpy as np +from pyfair.facil.utils_const import synthetic_set, synthetic_dat + +nb_inst, nb_labl = 100, 5 +nb_cls, nb_pru = 11, 3 +bi_y, bi_yt, bi_c = synthetic_set(2, nb_inst, nb_cls) +mu_y, mu_yt, mu_c = synthetic_set(nb_labl, nb_inst, nb_cls) +tr_yt = np.array(bi_yt) * 2 - 1 +tr_yt = tr_yt.tolist() +tr_y = [i * 2 - 1 for i in bi_y] + +ki, kj = 0, 1 # idx +tr_ha, tr_hb = tr_yt[ki], tr_yt[kj] +bi_ha, bi_hb = bi_yt[ki], bi_yt[kj] +mu_ha, mu_hb = mu_yt[ki], mu_yt[kj] + +# or: Sp, Sq +Sm = np.random.randint(2, size=nb_cls, dtype='bool').tolist() +Sm[np.random.choice(range(nb_cls))] = True +Sn = list(range(nb_cls)) +np.random.shuffle(Sn) +Sn = Sn[: nb_pru] +# CANNOT USE, MIGHT REPEAT# +# Sn = np.random.randint(nb_cls, size=nb_pru).tolist() + +nb_feat = 4 +X_trn, _ = synthetic_dat(nb_labl, nb_inst, nb_feat) +X_val, _ = synthetic_dat(nb_labl, nb_inst, nb_feat) +X_tst, _ = synthetic_dat(nb_labl, nb_inst, nb_feat) +indices = [np.random.randint( + nb_inst, size=nb_inst).tolist() for _ in range(nb_cls)] +OB_i = [list(set(range(nb_inst)) - set(i)) for i in indices] + +mu_ycast = np.random.randint(nb_labl, size=(nb_cls, nb_inst)).tolist() +bi_ycast = np.random.randint(2, size=(nb_cls, nb_inst)).tolist() +tr_ycast = (np.array(bi_ycast) * 2 - 1).tolist() + + +# ---------------------------------- +# xia2018maximum + + +def test_MRMR(): + from pyfair.granite.ensem_prulatest import ( + _relevancy_score, _complementary_score, + _MRMR_MI_binary, _MRMR_MI_multiclass, + _MRMR_MI, _MRMR_subroute, procedure_MRMR) + tr_rel, tr_c, tr_ci = _relevancy_score(tr_y, tr_yt) + bi_rel, bi_c, bi_ci = _relevancy_score(tr_y, tr_yt) + assert id(tr_rel) != id(bi_rel) + assert id(tr_ci) != id(bi_ci) + + bi_rel, bi_c, bi_ci = _relevancy_score(bi_y, bi_yt) + mu_rel, mu_c, mu_ci = _relevancy_score(mu_y, mu_yt) + assert np.all(np.equal(tr_rel, bi_rel)) + assert np.all(np.equal(tr_ci, bi_ci)) + assert 0 <= tr_c == bi_c <= 1 + assert len(mu_rel) == nb_cls + + assert 0 <= mu_c <= 1 + assert all(0 <= i <= 1 for i in tr_ci) + assert all(0 <= i <= 1 for i in bi_ci) + assert all(0 <= i <= 1 for i in mu_ci) + + tr_com, tr_s, tr_ci = _complementary_score( + tr_y, tr_yt[:-1], tr_yt[-1]) + bi_com, bi_s, bi_ci = _complementary_score( + bi_y, bi_yt[:-1], bi_yt[-1]) + mu_com, mu_s, mu_ci = _complementary_score( + mu_y, mu_yt[:-1], mu_yt[-1]) + assert tr_com == bi_com + assert 0 <= tr_s == bi_s <= 1 + assert 0 <= tr_ci == bi_ci <= 1 + assert 0 <= mu_s <= 1 and 0 <= mu_ci <= 1 + assert isinstance(mu_com, float) + + tr_ans = _MRMR_MI_binary(tr_ha, tr_hb) + bi_ans = _MRMR_MI_binary(bi_ha, bi_hb) + mu_ans = _MRMR_MI_binary(mu_ha, mu_hb) + tr_res = _MRMR_MI_multiclass(tr_ha, tr_hb, tr_y) + bi_res = _MRMR_MI_multiclass(bi_ha, bi_hb, bi_y) + mu_res = _MRMR_MI_multiclass(mu_ha, mu_hb, mu_y) + assert 0 <= tr_ans == bi_ans <= 1 + assert 0 <= tr_res == bi_res <= 1 + assert 0 <= mu_ans <= 1 and 0 <= mu_res <= 1 + + tr_ans = _MRMR_MI(tr_ha, tr_hb) + bi_ans = _MRMR_MI(bi_ha, bi_hb) + mu_ans = _MRMR_MI(mu_ha, mu_hb) + assert 0 <= tr_ans == bi_ans <= 1 + assert 0 <= mu_ans <= 1 + + fj_in_S = np.random.randint( + nb_cls, size=(nb_pru + 1)).tolist() + fj_in_S, k = fj_in_S[: -1], fj_in_S[-1] + tr_ans = _MRMR_subroute(tr_y, tr_yt, fj_in_S, k) + bi_ans = _MRMR_subroute(bi_y, bi_yt, fj_in_S, k) + mu_ans = _MRMR_subroute(mu_y, mu_yt, fj_in_S, k) + assert tr_ans == bi_ans + assert all(isinstance( + i, float) for i in [tr_ans, bi_ans, mu_ans]) + + tr_P, tr_seq = procedure_MRMR(tr_y, tr_yt, nb_cls, nb_pru) + bi_P, bi_seq = procedure_MRMR(tr_y, tr_yt, nb_cls, nb_pru) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + bi_P, bi_seq = procedure_MRMR(bi_y, bi_yt, nb_cls, nb_pru) + mu_P, mu_seq = procedure_MRMR(mu_y, mu_yt, nb_cls, nb_pru) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert sum(tr_P) == len(tr_seq) == sum( + bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + +def test_MRMC(): + from pyfair.granite.ensem_prulatest import ( + _relevancy_score, + _complementary_score, + _relevance_complementary_score) # , + # procedure_MRMC_ordered_EP, + # procedure_MRMC_EP_with_original_ensemble) + from pyfair.granite.ensem_prulatest import \ + procedure_MRMC_ordered_EP as MRMC_order + from pyfair.granite.ensem_prulatest import \ + procedure_MRMC_EP_with_original_ensemble as MRMC_prun + + tr_Rel_Ci, _, _ = _relevancy_score(tr_y, tr_yt) + bi_Rel_Ci, _, _ = _relevancy_score(bi_y, bi_yt) + mu_Rel_Ci, _, _ = _relevancy_score(mu_y, mu_yt) + tr_Com_Ci = [_complementary_score(tr_y, tr_yt, i)[0] for i in tr_yt] + bi_Com_Ci = [_complementary_score(bi_y, bi_yt, i)[0] for i in bi_yt] + mu_Com_Ci = [_complementary_score(mu_y, mu_yt, i)[0] for i in mu_yt] + + tr_ans = [_relevance_complementary_score( + i, j) for i, j in zip(tr_Rel_Ci, tr_Com_Ci)] + bi_ans = [_relevance_complementary_score( + i, j) for i, j in zip(bi_Rel_Ci, bi_Com_Ci)] + mu_ans = [_relevance_complementary_score( + i, j) for i, j in zip(mu_Rel_Ci, mu_Com_Ci)] + assert np.all(np.equal(tr_ans, bi_ans)) + assert all(isinstance(i, float) for i in mu_ans) + + tr_P, tr_seq = MRMC_order(tr_y, tr_yt, nb_cls, nb_pru) + bi_P, bi_seq = MRMC_order(tr_y, tr_yt, nb_cls, nb_pru) + assert id(tr_P) != id(bi_P) and id(tr_seq) != id(bi_seq) + bi_P, bi_seq = MRMC_order(bi_y, bi_yt, nb_cls, nb_pru) + mu_P, mu_seq = MRMC_order(mu_y, mu_yt, nb_cls, nb_pru) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert sum(tr_P) == len(tr_seq) == sum(bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + S = np.random.randint(2, size=nb_cls, dtype='bool').tolist() + tr_P, tr_seq = MRMC_order(tr_y, tr_yt, nb_cls, nb_pru, S) + bi_P, bi_seq = MRMC_order(tr_y, tr_yt, nb_cls, nb_pru, S) + assert id(tr_P) != id(bi_P) and id(tr_seq) != id(bi_seq) + bi_P, bi_seq = MRMC_order(bi_y, bi_yt, nb_cls, nb_pru, S) + mu_P, mu_seq = MRMC_order(mu_y, mu_yt, nb_cls, nb_pru, S) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert sum(tr_P) == len(tr_seq) == sum(bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + tr_P, tr_seq = MRMC_prun(tr_y, tr_yt, nb_cls, nb_pru) + bi_P, bi_seq = MRMC_prun(tr_y, tr_yt, nb_cls, nb_pru) + assert id(tr_P) != id(bi_P) and id(tr_seq) != id(bi_seq) + bi_P, bi_seq = MRMC_prun(bi_y, bi_yt, nb_cls, nb_pru) + mu_P, mu_seq = MRMC_prun(mu_y, mu_yt, nb_cls, nb_pru) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert sum(tr_P) == len(tr_seq) == sum(bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + +# ---------------------------------- +# li2018mrmr + + +# 3.4.1 Measure the capability of base classifiers + +def test_MRMREP_capability(): + from pyfair.granite.ensem_prulatest import ( + _judge_double_check_pruned_index, + _MRMREP_mutual_information_of_whole_subset, + _MRMREP_F_statistic, + _normalization_min_max, + _normalization_z_score, + _MRMREP_capability_of_classifiers) + Pm = _judge_double_check_pruned_index(Sm) + assert sum(Sm) == len(Pm) + assert all(Sm[i] for i in Pm) + Pn = _judge_double_check_pruned_index(Sn) + assert len(Sn) == len(Pn) == nb_pru + assert all(i == j for i, j in zip(sorted(Sn), Pn)) + assert all(i in Sn for i in Pn) + assert all(i in Pn for i in Sn) + + tr_ans = _MRMREP_mutual_information_of_whole_subset(tr_y, tr_yt, Sm) + bi_ans = _MRMREP_mutual_information_of_whole_subset(bi_y, bi_yt, Sm) + mu_ans = _MRMREP_mutual_information_of_whole_subset(mu_y, mu_yt, Sm) + assert 0 <= tr_ans == bi_ans <= 1 + assert 0 <= mu_ans <= 1 and isinstance(mu_ans, float) + + tr_ans = _MRMREP_mutual_information_of_whole_subset(tr_y, tr_yt, Sn) + bi_ans = _MRMREP_mutual_information_of_whole_subset(bi_y, bi_yt, Sn) + mu_ans = _MRMREP_mutual_information_of_whole_subset(mu_y, mu_yt, Sn) + assert 0 <= tr_ans == bi_ans <= 1 + assert 0 <= mu_ans <= 1 and isinstance(mu_ans, float) + + tr_ans = _MRMREP_F_statistic(tr_y, tr_ha) + bi_ans = _MRMREP_F_statistic(bi_y, bi_ha) + mu_ans = _MRMREP_F_statistic(mu_y, mu_ha) + assert all(isinstance(i, float) for i in [tr_ans, bi_ans, mu_ans]) + + from sklearn import preprocessing as prep + ep_a, ep_b = 2, 7 # endpoint + trbimu_hc = np.random.rand(nb_inst) * (ep_b - ep_a) + ep_a + trbimu_hc = trbimu_hc.tolist() + CONST_DIFF = 1e-8 # 1e-12 + + ans_prop = _normalization_min_max(trbimu_hc) + ans_comp = prep.minmax_scale(trbimu_hc) + assert np.all((np.array(ans_prop) - ans_comp) < CONST_DIFF) + ans_prop = _normalization_z_score(trbimu_hc) + ans_comp = prep.scale(trbimu_hc) + assert np.all((np.array(ans_prop) - ans_comp) < CONST_DIFF) + + alpha = 0.4 # I(.) of `tr,bi` are the same, but not F(.) + tr_ans = _MRMREP_capability_of_classifiers(tr_y, tr_yt, Sm, alpha) + bi_ans = _MRMREP_capability_of_classifiers(bi_y, bi_yt, Sm, alpha) + mu_ans = _MRMREP_capability_of_classifiers(mu_y, mu_yt, Sm, alpha) + assert all(isinstance(i, float) for i in [tr_ans, bi_ans, mu_ans]) + assert all((0 <= i <= 1) for i in [tr_ans, bi_ans, mu_ans]) + tr_ans = _MRMREP_capability_of_classifiers(tr_y, tr_yt, Sn, alpha) + bi_ans = _MRMREP_capability_of_classifiers(bi_y, bi_yt, Sn, alpha) + mu_ans = _MRMREP_capability_of_classifiers(mu_y, mu_yt, Sn, alpha) + assert all(isinstance(i, float) for i in [tr_ans, bi_ans, mu_ans]) + assert all((0 <= i <= 1) for i in [tr_ans, bi_ans, mu_ans]) + + +# 3.4.2 Pruning redundant classifiers + +def test_MRMREP_redundant(): + from pyfair.granite.ensem_prulatest import ( + _MRMREP_Hamming_distance, + _MRMREP_distance_of_each_pair, + _MRMREP_target_function_of_second_stage, + _MRMREP_final_target_function) + tr_ans = _MRMREP_Hamming_distance(tr_ha, tr_hb) + bi_ans = _MRMREP_Hamming_distance(bi_ha, bi_hb) + mu_ans = _MRMREP_Hamming_distance(mu_ha, mu_hb) + assert 0 <= tr_ans == bi_ans <= nb_inst + assert 0 <= mu_ans <= nb_inst and isinstance(mu_ans, int) + + tr_ans = _MRMREP_distance_of_each_pair(tr_yt) + bi_ans = _MRMREP_distance_of_each_pair(tr_yt) + assert id(tr_ans) != id(bi_ans) + bi_ans = _MRMREP_distance_of_each_pair(bi_yt) + mu_ans = _MRMREP_distance_of_each_pair(mu_yt) + assert np.all(np.equal(tr_ans, bi_ans)) + tmp = nb_inst * nb_cls * (nb_cls - 1) + assert 0 <= np.sum(tr_ans) == np.sum(bi_ans) <= tmp + del tmp + assert 0 <= np.sum(mu_ans) <= nb_inst * nb_cls * (nb_cls - 1) + + alpha = 0.6 + from pyfair.facil.utils_const import check_equal + for S in [Sm, Sn]: + number_S = len(S) + maximum = nb_inst * (number_S - 1.) / number_S + + tr_ans = _MRMREP_target_function_of_second_stage(tr_yt, S) + bi_ans = _MRMREP_target_function_of_second_stage(bi_yt, S) + mu_ans = _MRMREP_target_function_of_second_stage(mu_yt, S) + assert 0 <= tr_ans == bi_ans <= maximum + assert 0 <= mu_ans <= maximum + + tr_ans = _MRMREP_final_target_function(tr_y, tr_yt, S, alpha) + bi_ans = _MRMREP_final_target_function(bi_y, bi_yt, S, alpha) + mu_ans = _MRMREP_final_target_function(mu_y, mu_yt, S, alpha) + # assert -nb_inst < tr_ans == bi_ans <= 1 + assert -nb_inst < mu_ans <= 1 + assert all((-nb_inst < i <= 1) for i in [tr_ans, bi_ans]) + assert check_equal(tr_ans, bi_ans) + + +# 3.5 Classifier fusion + +def test_MRMREP_fusion(): + from pyfair.granite.ensem_prulatest import ( + _subroute_MRMREP_cover, _subroute_MRMREP_untie, + _subroute_MRMREP_init, _MRMREP_selected_subset, + MRMREP_Pruning) + alpha = 0.7 + + tr_ci = _subroute_MRMREP_cover(tr_y, tr_yt, alpha, Sm) + bi_ci = _subroute_MRMREP_cover(bi_y, bi_yt, alpha, Sm) + mu_ci = _subroute_MRMREP_cover(mu_y, mu_yt, alpha, Sm) + # idx = nb_cls - sum(Sm) + assert -1 <= tr_ci == bi_ci < nb_cls # idx + assert -1 <= mu_ci < nb_cls and isinstance(mu_ci, int) # np.int64 + assert (not Sm[tr_ci]) and (not Sm[bi_ci]) and (not Sm[mu_ci]) + + tr_ci = _subroute_MRMREP_untie(tr_y, tr_yt, alpha, Sm) + bi_ci = _subroute_MRMREP_untie(bi_y, bi_yt, alpha, Sm) + mu_ci = _subroute_MRMREP_untie(mu_y, mu_yt, alpha, Sm) + # idx = sum(Sm) + assert -1 <= tr_ci == bi_ci < nb_cls # idx + assert -1 <= mu_ci < nb_cls and isinstance(mu_ci, int) # np.int64 + # pdb.set_trace() # tt = np.zeros_like(Sm, dtype='bool') + assert Sm[tr_ci] and Sm[bi_ci] and Sm[mu_ci] + + tr_ci = _subroute_MRMREP_init(tr_y, tr_yt, alpha) + bi_ci = _subroute_MRMREP_init(bi_y, bi_yt, alpha) + mu_ci = _subroute_MRMREP_init(mu_y, mu_yt, alpha) + assert 0 <= tr_ci == bi_ci < nb_cls # TODO: BUG? + assert 0 <= mu_ci < nb_cls + + L, R = 3, 2 + tr_rank = _MRMREP_selected_subset( + tr_y, tr_yt, nb_cls, L, R, alpha) + bi_rank = _MRMREP_selected_subset( + tr_y, tr_yt, nb_cls, L, R, alpha) + assert id(tr_rank) != id(bi_rank) + bi_rank = _MRMREP_selected_subset( + bi_y, bi_yt, nb_cls, L, R, alpha) + mu_rank = _MRMREP_selected_subset( + mu_y, mu_yt, nb_cls, L, R, alpha) + assert np.all(np.equal(tr_rank, bi_rank)) + assert all(isinstance(i, int) for i in tr_rank) + assert all(isinstance(i, int) for i in bi_rank) + assert all(isinstance(i, int) for i in bi_rank) + assert len(set(tr_rank)) == nb_cls + assert len(set(bi_rank)) == nb_cls + assert len(set(mu_rank)) == nb_cls + + tr_P, tr_seq, tr_rank = MRMREP_Pruning( + tr_y, tr_yt, nb_cls, nb_pru, L, R, alpha) + bi_P, bi_seq, bi_rank = MRMREP_Pruning( + tr_y, tr_yt, nb_cls, nb_pru, L, R, alpha) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + assert id(tr_rank) != id(bi_rank) + + bi_P, bi_seq, bi_rank = MRMREP_Pruning( + bi_y, bi_yt, nb_cls, nb_pru, L, R, alpha) + mu_P, mu_seq, mu_rank = MRMREP_Pruning( + mu_y, mu_yt, nb_cls, nb_pru, L, R, alpha) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert np.all(np.equal(tr_rank, bi_rank)) + assert len(set(tr_rank)) == nb_cls + assert len(set(bi_rank)) == nb_cls + assert len(set(mu_rank)) == nb_cls + assert sum(tr_P) == len(tr_seq) == sum( + bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + +# ---------------------------------- +# ali2019classification +# cao2018optimizing + + +def test_mRMR_Disc(): + from pyfair.granite.ensem_prulatest import ( + mRMR_ensemble_pruning, Disc_ensemble_pruning) + tr_P, tr_seq = mRMR_ensemble_pruning(tr_y, tr_yt, nb_cls, nb_pru) + bi_P, bi_seq = mRMR_ensemble_pruning(tr_y, tr_yt, nb_cls, nb_pru) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_P, bi_seq = mRMR_ensemble_pruning(bi_y, bi_yt, nb_cls, nb_pru) + mu_P, mu_seq = mRMR_ensemble_pruning(mu_y, mu_yt, nb_cls, nb_pru) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + + assert sum(tr_P) == len(tr_seq) == sum( + bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + tr_P, tr_seq = Disc_ensemble_pruning(tr_y, tr_yt, nb_cls, nb_pru) + bi_P, bi_seq = Disc_ensemble_pruning(tr_y, tr_yt, nb_cls, nb_pru) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_P, bi_seq = Disc_ensemble_pruning(bi_y, bi_yt, nb_cls, nb_pru) + mu_P, mu_seq = Disc_ensemble_pruning(mu_y, mu_yt, nb_cls, nb_pru) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + + assert sum(tr_P) == len(tr_seq) == sum( + bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + +# ---------------------------------- +# zhang2019two + + +def test_twostage_accuracy(): + from pyfair.granite.ensem_prulatest import ( + _subroute_TwoStage_AccuracyBased, + TwoStagePruning_AccuracyBasedPruning) + tr_ans = _subroute_TwoStage_AccuracyBased(tr_y, tr_yt, OB_i) + bi_ans = _subroute_TwoStage_AccuracyBased(tr_y, tr_yt, OB_i) + assert id(tr_ans) != id(bi_ans) + + bi_ans = _subroute_TwoStage_AccuracyBased(bi_y, bi_yt, OB_i) + mu_ans = _subroute_TwoStage_AccuracyBased(mu_y, mu_yt, OB_i) + assert np.all(np.equal(tr_ans, bi_ans)) + assert all(0 <= i <= 1 for i in tr_ans) + assert all(0 <= i <= 1 for i in bi_ans) + assert all(0 <= i <= 1 for i in mu_ans) + + ta = 7 + tr_P, tr_seq = TwoStagePruning_AccuracyBasedPruning( + tr_y, tr_yt, nb_cls, indices, ta) + bi_P, bi_seq = TwoStagePruning_AccuracyBasedPruning( + tr_y, tr_yt, nb_cls, indices, ta) + assert id(tr_P) != id(bi_P) and id(tr_seq) != id(bi_seq) + + bi_P, bi_seq = TwoStagePruning_AccuracyBasedPruning( + bi_y, bi_yt, nb_cls, indices, ta) + mu_P, mu_seq = TwoStagePruning_AccuracyBasedPruning( + mu_y, mu_yt, nb_cls, indices, ta) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert 1 < sum(tr_P) == len(tr_seq) == sum( + bi_P) == len(bi_seq) < nb_cls + assert 1 < sum(mu_P) == len(mu_seq) < nb_cls + + for ta in np.arange(0, 10, 1): + mu_P, mu_seq = TwoStagePruning_AccuracyBasedPruning( + mu_y, mu_yt, nb_cls, indices, ta) + if ta == 0: + assert len(mu_seq) == nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) <= nb_cls + + +def test_twostage_distance(): + from pyfair.granite.ensem_prulatest import \ + _subroute_TwoStage_DistanceBased as subr_dist + from pyfair.granite.ensem_prulatest import \ + _subroute_TwoStage_DistanceBased_inst as subr_inst + from pyfair.granite.ensem_prulatest import \ + TwoStagePruning_DistanceBasedPruning as TSP_DBP + + tr_ans, tr_res = subr_dist(tr_y, tr_yt, OB_i, tr_ycast) + bi_ans, bi_res = subr_dist(tr_y, tr_yt, OB_i, tr_ycast) + assert id(tr_ans) != id(bi_ans) + assert id(tr_res) != id(bi_res) + + bi_ans, bi_res = subr_dist(bi_y, bi_yt, OB_i, bi_ycast) + mu_ans, mu_res = subr_dist(mu_y, mu_yt, OB_i, mu_ycast) + # NOT TRUE# assert np.all(np.equal(tr_ans, bi_ans)) + # NOT TRUE# assert np.all(np.equal(tr_res, bi_res)) + # because need to use values of class/label, and {-1,+1} \neq {0,1} + + assert np.all(np.equal( + np.argsort(tr_res), np.argsort(bi_res))) + for tr_tmp, bi_tmp in zip(tr_ans, bi_ans): # the same as line 411 + assert np.all(np.equal( + np.argsort(tr_tmp), np.argsort(bi_tmp))) + assert np.all(np.equal( + np.argsort(tr_ans), np.argsort(bi_ans))) # same + # line 413 is not making sense as much as line 411 (each element in OB_i) + assert np.all(np.equal( + np.argsort(tr_ans, axis=0), np.argsort(bi_ans, axis=0))) + + C_i, d_i = subr_inst(X_trn, X_val, OB_i) + C_p, d_p = subr_inst(X_trn, X_val, OB_i) + assert id(C_i) != id(C_p) + assert id(d_i) != id(d_p) + + td = 3 + tr_P, tr_seq = TSP_DBP(tr_y, tr_yt, nb_cls, indices, td, tr_ycast) + bi_P, bi_seq = TSP_DBP(tr_y, tr_yt, nb_cls, indices, td, tr_ycast) + assert id(tr_P) != id(bi_P) and id(tr_seq) != id(bi_seq) + + bi_P, bi_seq = TSP_DBP(bi_y, bi_yt, nb_cls, indices, td, bi_ycast) + mu_P, mu_seq = TSP_DBP(mu_y, mu_yt, nb_cls, indices, td, mu_ycast) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert 1 < sum(tr_P) == len(tr_seq) == sum(bi_P) < nb_cls + assert 1 < sum(tr_P) == sum(bi_P) == len(bi_seq) < nb_cls + assert 1 < sum(mu_P) == len(mu_seq) < nb_cls + + for td in np.arange(1, 11, 1): + mu_P, mu_seq = TSP_DBP(mu_y, mu_yt, nb_cls, indices, td, mu_ycast) + if td == 10: + assert len(mu_seq) == nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) <= nb_cls + + +def test_twostage_prelim(): + from pyfair.granite.ensem_prulatest import ( + _subroute_TwoStage_OBi, + _subroute_TwoStage_checkAC, + _subroute_TwoStage_checkDIS) + tr_ans = _subroute_TwoStage_OBi(tr_y, indices) + bi_ans = _subroute_TwoStage_OBi(tr_y, indices) + assert id(tr_ans) != id(bi_ans) + + bi_ans = _subroute_TwoStage_OBi(bi_y, indices) + mu_ans = _subroute_TwoStage_OBi(mu_y, indices) + for i, j, k in zip(tr_ans, bi_ans, mu_ans): + assert np.all(np.equal(i, j)) + assert np.all(np.equal(j, k)) + # NOTICE: VisibleDeprecationWarning + # assert np.all(np.equal(tr_ans, bi_ans)) + # assert np.all(np.equal(bi_ans, mu_ans)) + + for ta in range(-1, 9 + 2): + ta = _subroute_TwoStage_checkAC(ta) + assert 0 <= ta <= 9 + for td in range(0, 10 + 2): + td = _subroute_TwoStage_checkDIS(td) + assert 1 <= td <= 10 + + +def test_two_stage_plus(): + from pyfair.granite.ensem_prulatest import ( + TwoStagePruning_APplusDP, + TwoStagePruning_DPplusAP) + ta, td = 3, 7 # or 4, 6 # ta, td = 7, 3 + + tr_P, tr_M, tr_N = TwoStagePruning_APplusDP( + tr_y, tr_yt, nb_cls, indices, ta, td, tr_ycast) + bi_P, bi_M, bi_N = TwoStagePruning_APplusDP( + tr_y, tr_yt, nb_cls, indices, ta, td, tr_ycast) + assert id(tr_P) != id(bi_P) + assert id(tr_M) != id(bi_M) + assert id(tr_N) != id(bi_N) + + bi_P, bi_M, bi_N = TwoStagePruning_APplusDP( + bi_y, bi_yt, nb_cls, indices, ta, td, bi_ycast) + mu_P, mu_M, mu_N = TwoStagePruning_APplusDP( + mu_y, mu_yt, nb_cls, indices, ta, td, mu_ycast) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_M, bi_M)) + assert np.all(np.equal(tr_N, bi_N)) + + assert 1 <= sum(tr_P) == len(tr_N) < len(tr_M) < nb_cls + assert 1 <= sum(bi_P) == len(bi_N) < len(bi_M) < nb_cls + assert 1 <= sum(mu_P) == len(mu_N) < len(mu_M) < nb_cls + + tr_P, tr_M, tr_N = TwoStagePruning_DPplusAP( + tr_y, tr_yt, nb_cls, indices, ta, td, tr_ycast) + bi_P, bi_M, bi_N = TwoStagePruning_DPplusAP( + tr_y, tr_yt, nb_cls, indices, ta, td, tr_ycast) + assert id(tr_P) != id(bi_P) + assert id(tr_M) != id(bi_M) + assert id(tr_N) != id(bi_N) + + bi_P, bi_M, bi_N = TwoStagePruning_DPplusAP( + bi_y, bi_yt, nb_cls, indices, ta, td, bi_ycast) + mu_P, mu_M, mu_N = TwoStagePruning_DPplusAP( + mu_y, mu_yt, nb_cls, indices, ta, td, mu_ycast) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_M, bi_M)) + assert np.all(np.equal(tr_N, bi_N)) + + assert 1 <= sum(tr_P) == len(tr_N) < len(tr_M) < nb_cls + assert 1 <= sum(bi_P) == len(bi_N) < len(bi_M) < nb_cls + assert 1 <= sum(mu_P) == len(mu_N) < len(mu_M) < nb_cls + + +# ---------------------------------- +# zhang2019two, exactly in paper + + +def test_twostage_previous(): + from pyfair.granite.ensem_prulatest import ( + TwoStagePrev_DistanceBasedPruning, + TwoStagePreviously_AP_plus_DP, + TwoStagePreviously_DP_plus_AP) + ta, td = 4, 6 + + tr_P, tr_seq = TwoStagePrev_DistanceBasedPruning( + tr_y, tr_yt, nb_cls, indices, td, X_trn, X_val) + bi_P, bi_seq = TwoStagePrev_DistanceBasedPruning( + tr_y, tr_yt, nb_cls, indices, td, X_trn, X_val) + assert id(tr_P) != id(bi_P) and id(tr_seq) != id(bi_seq) + bi_P, bi_seq = TwoStagePrev_DistanceBasedPruning( + bi_y, bi_yt, nb_cls, indices, td, X_trn, X_val) + mu_P, mu_seq = TwoStagePrev_DistanceBasedPruning( + mu_y, mu_yt, nb_cls, indices, td, X_trn, X_val) + assert np.all(np.equal(tr_seq, bi_seq)) + assert np.all(np.equal(bi_seq, mu_seq)) + # because it is related to X_feat only, independent of `yt` + assert 1 < len(mu_seq) == sum(mu_P) < nb_cls + + tr_P, tr_M, tr_N = TwoStagePreviously_AP_plus_DP( + tr_y, tr_yt, nb_cls, indices, ta, td, X_trn, X_val) + bi_P, bi_M, bi_N = TwoStagePreviously_AP_plus_DP( + tr_y, tr_yt, nb_cls, indices, ta, td, X_trn, X_val) + assert id(tr_P) != id(bi_P) + assert id(tr_M) != id(bi_M) and id(tr_N) != id(bi_N) + bi_P, bi_M, bi_N = TwoStagePreviously_AP_plus_DP( + bi_y, bi_yt, nb_cls, indices, ta, td, X_trn, X_val) + mu_P, mu_M, mu_N = TwoStagePreviously_AP_plus_DP( + mu_y, mu_yt, nb_cls, indices, ta, td, X_trn, X_val) + assert np.all(np.equal(tr_M, bi_M)) + assert np.all(np.equal(tr_N, bi_N)) + + tr_P, tr_M, tr_N = TwoStagePreviously_DP_plus_AP( + tr_y, tr_yt, nb_cls, indices, ta, td, X_trn, X_val) + bi_P, bi_M, bi_N = TwoStagePreviously_DP_plus_AP( + tr_y, tr_yt, nb_cls, indices, ta, td, X_trn, X_val) + assert id(tr_P) != id(bi_P) + assert id(tr_M) != id(bi_M) and id(tr_N) != id(bi_N) + bi_P, bi_M, bi_N = TwoStagePreviously_DP_plus_AP( + bi_y, bi_yt, nb_cls, indices, ta, td, X_trn, X_val) + mu_P, mu_M, mu_N = TwoStagePreviously_DP_plus_AP( + mu_y, mu_yt, nb_cls, indices, ta, td, X_trn, X_val) + assert np.all(np.equal(tr_M, bi_M)) + assert np.all(np.equal(tr_N, bi_N)) + + +# ---------------------------------- +# contrastive + +# Cannot fix the size of pruned sub-ensemble: +# +# Basically, all `TwoStage` related: +# "TSP-AP", "TSP-DP", "TSP-AP+DP", "TSP-DP+AP", +# "TSPrev-DP", "TSPrev-AD", "TSPrev-DA", +# + + +def test_contrastive(): + from pyfair.granite.ensem_prulatest import contrastive_pruning_lately + from pyfair.facil.utils_remark import LATEST_NAME_PRUNE + # from copy import deepcopy + L, R, alpha = 3, 2, 0.5 + # argv = {'indices': indices} + # argc = {"indices": indices, "X_trn": X_trn, "X_val": X_val} + + for name_pru in LATEST_NAME_PRUNE: + kwargs = {} + if name_pru.startswith("TSP"): + # kwargs = deepcopy(argv) + kwargs["indices"] = indices + if name_pru.startswith("TSPrev"): + kwargs["X_trn"] = X_trn + kwargs["X_val"] = X_val + + tr_ytrn, tr_yval, tr_P, tr_seq = contrastive_pruning_lately( + name_pru, nb_cls, nb_pru, tr_y, [], tr_yt, [], + alpha, L, R, **kwargs) + bi_ytrn, bi_yval, bi_P, bi_seq = contrastive_pruning_lately( + name_pru, nb_cls, nb_pru, tr_y, [], tr_yt, [], + alpha, L, R, **kwargs) + assert id(tr_ytrn) != id(bi_ytrn) + assert id(tr_yval) != id(bi_yval) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + assert tr_yval == bi_yval == [] + + bi_ytrn, bi_yval, bi_P, bi_seq = contrastive_pruning_lately( + name_pru, nb_cls, nb_pru, bi_y, [], bi_yt, [], + alpha, L, R, **kwargs) + _, _, mu_P, mu_seq = contrastive_pruning_lately( + name_pru, nb_cls, nb_pru, mu_y, [], mu_yt, [], + alpha, L, R, **kwargs) # mu_ytrn,mu_yval, + assert sum(mu_P) == len(mu_seq) + assert np.all(np.equal(tr_P, bi_P)) # TODO: BUG? + assert np.all(np.equal(tr_seq, bi_seq)) + assert sum(tr_P) == len(tr_seq) == sum(bi_P) == len(bi_seq) + assert 1 <= len(tr_seq) == len(bi_seq) < nb_cls + assert 1 <= len(mu_seq) < nb_cls + + +def test_compared_utus(): + from pyfair.granite.ensem_prulatest import \ + contrastive_pruning_lately_validate + from pyfair.facil.utils_remark import LATEST_NAME_PRUNE + from sklearn import tree + L, R, alpha = 4, 3, 0.5 + clfs = [tree.DecisionTreeClassifier() for _ in range(nb_cls)] + coef = np.random.rand(nb_cls) + coef /= np.sum(coef) + coef = coef.tolist() + + for name_pru in LATEST_NAME_PRUNE: + kwargs = {} + if name_pru.startswith("TSP"): + kwargs["indices"] = indices + if name_pru.startswith("TSPrev"): + kwargs["X_trn"] = X_trn + kwargs["X_val"] = X_val + + (_, _, _, ys_cast, _, _, _, + # opt_coef,opt_clfs,ys_insp,,ys_pred,ut,us, + tr_P, tr_seq) = contrastive_pruning_lately_validate( + name_pru, nb_cls, nb_pru, tr_y, [], tr_yt, [], + tr_ycast, coef, clfs, alpha, L, R, **kwargs) + assert ys_cast == [] + assert sum(tr_P) == len(tr_seq) + + (_, _, _, _, _, _, _, bi_P, # ut,us, + bi_seq) = contrastive_pruning_lately_validate( + name_pru, nb_cls, nb_pru, bi_y, [], bi_yt, [], + bi_ycast, coef, clfs, alpha, L, R, **kwargs) + assert np.all(np.equal(tr_seq, bi_seq)) # TODO: BUG? + assert sum(bi_P) == len(bi_seq) + + (_, _, _, _, _, _, _, mu_P, # ut,us, + mu_seq) = contrastive_pruning_lately_validate( + name_pru, nb_cls, nb_pru, mu_y, [], mu_yt, [], + mu_ycast, coef, clfs, alpha, L, R, **kwargs) + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + + +# ---------------------------------- +# NOTICE: +# When numpy==1.19.5 +# scipy==1.5.4 +# scikit-learn==0.24.1 +# pathos==0.2.7 +# Pympler==0.9 +# Pillow==8.1.2 +# matplotlib==3.3.4 +# pytest==6.2.2 +# +# =============================== warnings summary =============================== +# tests/core/test_prulatest.py::test_contrastive +# /home/ubuntu/Software/anaconda3/envs/ensem/lib/python3.6/importlib/_bootstrap.py:219: +# RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. +# Expected 192 from C header, got 216 from PyObject +# return f(*args, **kwds) +# +# -- Docs: https://docs.pytest.org/en/stable/warnings.html +# + + +# ---------------------------------- +# ---------------------------------- + +# ---------------------------------- +# ---------------------------------- + + +# ---------------------------------- +# ---------------------------------- + +# ---------------------------------- +# ---------------------------------- diff --git a/pyfair/granite/excl_test_pruning.py b/pyfair/granite/excl_test_pruning.py new file mode 100644 index 0000000..0ee5f81 --- /dev/null +++ b/pyfair/granite/excl_test_pruning.py @@ -0,0 +1,846 @@ +# coding: utf-8 + +# from __future__ import absolute_import +# from __future__ import division +# from __future__ import print_function + + +import numpy as np +from pyfair.facil.utils_const import check_equal, synthetic_set + +nb_inst, nb_labl = 100, 5 +nb_cls, nb_pru = 11, 3 +bi_y, bi_yt, bi_c = synthetic_set(2, nb_inst, nb_cls) +mu_y, mu_yt, mu_c = synthetic_set(nb_labl, nb_inst, nb_cls) +tr_yt = np.array(bi_yt) * 2 - 1 +tr_yt = tr_yt.tolist() +tr_y = [i * 2 - 1 for i in bi_y] + +ki, kj = 0, 1 # idx +tr_ha, tr_hb = tr_yt[ki], tr_yt[kj] +bi_ha, bi_hb = bi_yt[ki], bi_yt[kj] +mu_ha, mu_hb = mu_yt[ki], mu_yt[kj] + + +# ---------------------------------- +# margineantu1997pruning + + +def test_early_stopping(): + from pyfair.granite.ensem_pruning import Early_Stopping + _, tr_P, tr_seq = Early_Stopping(tr_yt, nb_cls, nb_pru) + _, bi_P, bi_seq = Early_Stopping(bi_yt, nb_cls, nb_pru) + _, mu_P, mu_seq = Early_Stopping(mu_yt, nb_cls, nb_pru) + + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert np.sum(tr_P) == len(tr_seq) == nb_pru + assert np.sum(bi_P) == len(bi_seq) == nb_pru + + assert np.all(np.equal(bi_P, mu_P)) + assert np.all(np.equal(bi_seq, mu_seq)) + assert np.sum(mu_P) == len(mu_seq) == nb_pru + assert len(set(map(id, [tr_P, bi_P, mu_P]))) == 3 + + assert len(set(map(id, [tr_seq, bi_seq, mu_seq]))) == 3 + assert id(tr_P) != id(tr_seq) + assert id(bi_P) != id(bi_seq) + assert id(mu_P) != id(mu_seq) + + +def test_KL_divergence(): + from pyfair.granite.ensem_pruning import ( + _softmax, _KLD, _KLD_vectors, + _JU_set_of_vectors, _U_next_idx, + KL_divergence_Pruning) + assert check_equal(np.sum(_softmax(tr_y)), 1.) + assert check_equal(np.sum(_softmax(bi_y)), 1.) + assert check_equal(np.sum(_softmax(mu_y)), 1.) + tr_ans = np.sum(_softmax(tr_yt), axis=0) + bi_ans = np.sum(_softmax(bi_yt), axis=0) + mu_ans = np.sum(_softmax(mu_yt), axis=0) + assert all(check_equal(i, 1) for i in tr_ans) + assert all(check_equal(i, 1) for i in bi_ans) + assert all(check_equal(i, 1) for i in mu_ans) + + import scipy.stats as stats + from pyfair.marble.data_entropy import prob + px, _ = prob(tr_ha) + py, _ = prob(tr_hb) + assert check_equal(_KLD(px, py), stats.entropy(px, py)) + px, _ = prob(bi_ha) + py, _ = prob(bi_hb) + assert check_equal(_KLD(px, py), stats.entropy(px, py)) + px, _ = prob(mu_ha) + py, _ = prob(mu_hb) + assert check_equal(_KLD(px, py), stats.entropy(px, py)) + + tr_ans = _KLD_vectors(tr_ha, tr_hb) + bi_ans = _KLD_vectors(bi_ha, bi_hb) + mu_ans = _KLD_vectors(mu_ha, mu_hb) + assert tr_ans == bi_ans # check_equal(tr_ans, bi_ans) + assert all(isinstance( + i, float) for i in [tr_ans, bi_ans, mu_ans]) + # assert tr_ans != KLD_vectors(tr_hb, tr_ha) + # assert bi_ans != KLD_vectors(bi_hb, bi_ha) + # assert mu_ans != KLD_vectors(mu_hb, mu_ha) + assert len(set([id(tr_ans), id(bi_ans), id(mu_ans)])) == 3 + + px, py = prob(tr_ha)[0], prob(tr_hb)[0] + assert _KLD_vectors(tr_ha, tr_hb) == _KLD_vectors(bi_ha, bi_hb) + assert _KLD_vectors(tr_hb, tr_ha) == _KLD_vectors(bi_hb, bi_ha) + if np.all(np.equal(px, py)) or np.all(np.equal(px, py[::-1])): + assert _KLD_vectors(tr_ha, tr_hb) == _KLD_vectors( + tr_hb, tr_ha) + assert _KLD_vectors(bi_ha, bi_hb) == _KLD_vectors( + bi_hb, bi_ha) + else: + assert _KLD_vectors(tr_ha, tr_hb) != _KLD_vectors( + tr_hb, tr_ha) + assert _KLD_vectors(bi_ha, bi_hb) != _KLD_vectors( + bi_hb, bi_ha) + px, py = prob(mu_ha)[0], prob(mu_hb)[0] + # assert (_KLD_vectors(mu_ha, mu_hb), _KLD_vectors(mu_hb, mu_ha)) + + tr_ans = _JU_set_of_vectors(tr_yt) + bi_ans = _JU_set_of_vectors(bi_yt) + mu_ans = _JU_set_of_vectors(mu_yt) + assert tr_ans == bi_ans + assert all(isinstance( + i, float) for i in [tr_ans, bi_ans, mu_ans]) + assert len(set(map(id, [tr_ans, bi_ans, mu_ans]))) == 3 + + P = np.random.randint(2, size=nb_cls, dtype='bool').tolist() + tr_ans = _U_next_idx(tr_yt, P) + bi_ans = _U_next_idx(bi_yt, P) + mu_ans = _U_next_idx(mu_yt, P) + assert tr_ans == bi_ans + assert all(isinstance(i, int) for i in [tr_ans, bi_ans, mu_ans]) + assert id(tr_ans) == id(bi_ans) + # might achieve: assert id(tr_ans) != id(mu_ans) + # might achieve: assert id(bi_ans) != id(mu_ans) + + _, tr_P, tr_seq = KL_divergence_Pruning(tr_yt, nb_cls, nb_pru) + _, bi_P, bi_seq = KL_divergence_Pruning(bi_yt, nb_cls, nb_pru) + _, mu_P, mu_seq = KL_divergence_Pruning(mu_yt, nb_cls, nb_pru) + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert sum(tr_P) == len(tr_seq) == nb_pru + assert sum(bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + assert all(isinstance(i, int) for i in mu_seq) + assert len(set(map(id, mu_seq))) == nb_pru + + +def test_KL_divergence_modify(): + from pyfair.granite.ensem_pruning import ( + _KLD_pq, _J, _KL_find_next, + KL_divergence_Pruning_modify) + tr_ans = _KLD_pq(tr_ha, tr_hb) + bi_ans = _KLD_pq(bi_ha, bi_hb) + mu_ans = _KLD_pq(mu_ha, mu_hb) + assert all(isinstance(i, float) for i in [tr_ans, bi_ans, mu_ans]) + assert len(set(map(id, [tr_ans, bi_ans, mu_ans]))) == 3 + + tr_ans = _J(tr_yt) + bi_ans = _J(bi_yt) + mu_ans = _J(mu_yt) + assert all(isinstance(i, float) for i in [tr_ans, bi_ans, mu_ans]) + assert len(set(map(id, [tr_ans, bi_ans, mu_ans]))) == 3 + + P = np.random.randint(2, size=nb_cls, dtype='bool').tolist() + tr_ans = _KL_find_next(tr_yt, P) + bi_ans = _KL_find_next(bi_yt, P) + mu_ans = _KL_find_next(mu_yt, P) + assert all(isinstance(i, int) for i in [tr_ans, bi_ans, mu_ans]) + assert len(set(map(id, [tr_ans, bi_ans, mu_ans]))) <= 3 # == 2 + # might not achieve there: assert tr_ans == bi_ans + + _, tr_P, tr_seq = KL_divergence_Pruning_modify( + tr_yt, nb_cls, nb_pru) + _, bi_P, bi_seq = KL_divergence_Pruning_modify( + bi_yt, nb_cls, nb_pru) + _, mu_P, mu_seq = KL_divergence_Pruning_modify( + mu_yt, nb_cls, nb_pru) + assert sum(tr_P) == len(tr_seq) == nb_pru + assert sum(bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + # NOT TRUE# assert np.all(np.equal(tr_P, bi_P)) + # NOT TRUE# assert np.all(np.equal(tr_seq, bi_seq)) + # Since it uses `softmax`, {-1,+1} {0,1} might get different values + # of `J(U)`, leading to different values in `ansJ`, which would + # probably cause different return of `KL_find_next`. + + +def test_kappa(): + from pyfair.granite.ensem_pruning import ( + Kappa_Pruning_kuncheva, Kappa_Pruning_zhoubimu) + _, tr_Pk, tr_seq_k = Kappa_Pruning_kuncheva( + tr_y, tr_yt, nb_cls, nb_pru) + _, bi_Pk, bi_seq_k = Kappa_Pruning_kuncheva( + bi_y, bi_yt, nb_cls, nb_pru) + _, mu_Pk, mu_seq_k = Kappa_Pruning_kuncheva( + mu_y, mu_yt, nb_cls, nb_pru) + _, tr_Pz, tr_seq_z = Kappa_Pruning_zhoubimu( + tr_y, tr_yt, nb_cls, nb_pru) + _, bi_Pz, bi_seq_z = Kappa_Pruning_zhoubimu( + bi_y, bi_yt, nb_cls, nb_pru) + _, mu_Pz, mu_seq_z = Kappa_Pruning_zhoubimu( + mu_y, mu_yt, nb_cls, nb_pru) + + assert sum(tr_Pk) == len( + tr_seq_k) == sum(tr_Pz) == len(tr_seq_z) == nb_pru + assert sum(bi_Pk) == len( + bi_seq_k) == sum(bi_Pz) == len(bi_seq_z) == nb_pru + assert sum(mu_Pk) == len( + mu_seq_k) == sum(mu_Pz) == len(mu_seq_z) == nb_pru + assert np.all(np.equal(tr_seq_k, bi_seq_k)) + assert np.all(np.equal(tr_seq_z, bi_seq_z)) + + assert all(isinstance(i, int) for i in mu_seq_k) + assert all(isinstance(i, int) for i in mu_seq_z) + assert len(set(map(id, mu_seq_k))) == nb_pru + assert len(set(map(id, mu_seq_z))) == nb_pru + + +# ---------------------------------- +# martine2006pruning + + +def test_orientation_ordering(): + from pyfair.granite.ensem_pruning import ( + _angle, _signature_vector, _average_signature_vector, + _reference_vector, Orientation_Ordering_Pruning) + tr_ans = _angle(tr_ha, tr_hb) + bi_ans = _angle(bi_ha, bi_hb) + mu_ans = _angle(mu_ha, mu_hb) + assert 0 <= tr_ans <= np.pi and isinstance(tr_ans, float) + assert 0 <= bi_ans <= np.pi and isinstance(bi_ans, float) + assert 0 <= mu_ans <= np.pi and isinstance(mu_ans, float) + + tr_ans = _signature_vector(tr_yt, tr_y) + bi_ans = _signature_vector(bi_yt, bi_y) + mu_ans = _signature_vector(mu_yt, mu_y) + assert np.all(np.equal(tr_ans, bi_ans)) + assert np.all(np.abs(tr_ans) <= 1) + assert np.all(np.abs(bi_ans) <= 1) + assert np.all(np.abs(mu_ans) <= 1) + + tr_ans, tr_res = _average_signature_vector(tr_yt, tr_y) + bi_ans, bi_res = _average_signature_vector(bi_yt, bi_y) + mu_ans, mu_res = _average_signature_vector(mu_yt, mu_y) + assert np.all(np.equal(tr_ans, bi_ans)) + assert np.all(np.equal(tr_res, bi_res)) + tr_ans = np.array(tr_ans) + bi_ans = np.array(bi_ans) + mu_ans = np.array(mu_ans) + assert np.all(-1 <= tr_ans) and np.all(tr_ans <= 1) + assert np.all(-1 <= bi_ans) and np.all(bi_ans <= 1) + assert np.all(-1 <= mu_ans) and np.all(mu_ans <= 1) + + tr_ans, tr_res = _reference_vector(nb_inst, tr_ans.tolist()) + bi_ans, bi_res = _reference_vector(nb_inst, bi_ans.tolist()) + mu_ans, mu_res = _reference_vector(nb_inst, mu_ans.tolist()) + assert np.all(np.equal(tr_ans, bi_ans)) + assert np.abs(tr_res) <= np.pi + assert np.abs(bi_res) <= np.pi + assert np.abs(mu_res) <= np.pi + assert tr_res == bi_res + + tr_yo, tr_P, tr_seq, tr_fg = Orientation_Ordering_Pruning( + tr_y, tr_yt) + bi_yo, bi_P, bi_seq, bi_fg = Orientation_Ordering_Pruning( + bi_y, bi_yt) + mu_yo, mu_P, mu_seq, mu_fg = Orientation_Ordering_Pruning( + mu_y, mu_yt) + assert 1 <= sum(tr_P) == len( + tr_seq) == sum(bi_P) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + assert len(set(map(id, [tr_yo, bi_yo, mu_yo]))) == 3 + assert len(set(map(id, [tr_P, bi_P, mu_P]))) == 3 + assert len(set(map(id, [tr_seq, bi_seq, mu_seq]))) == 3 + assert -np.pi <= tr_fg == bi_fg <= np.pi + assert np.abs(mu_fg) <= np.pi + assert 0 <= tr_fg <= bi_fg <= np.pi and 0 <= mu_fg <= np.pi + + +# ---------------------------------- +# martinez2009analysis + + +def test_error_reduce(): + from pyfair.granite.ensem_pruning import Reduce_Error_Pruning + _, tr_P, tr_seq = Reduce_Error_Pruning( + tr_y, tr_yt, nb_cls, nb_pru) + _, bi_P, bi_seq = Reduce_Error_Pruning( + bi_y, bi_yt, nb_cls, nb_pru) + _, mu_P, mu_seq = Reduce_Error_Pruning( + mu_y, mu_yt, nb_cls, nb_pru) + assert sum(tr_P) == len(tr_seq) == sum( + bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + assert np.all(np.equal(tr_seq, bi_seq)) and np.all( + np.equal(tr_P, bi_P)) + assert len(set(map(id, [tr_P, bi_P, mu_P]))) == 3 + assert len(set(map(id, [tr_seq, bi_seq, mu_seq]))) == 3 + + +def test_complementary(): + from pyfair.granite.ensem_pruning import \ + Complementarity_Measure_Pruning as CMPruning + _, tr_P, tr_seq = CMPruning(tr_y, tr_yt, nb_cls, nb_pru) + _, bi_P, bi_seq = CMPruning(bi_y, bi_yt, nb_cls, nb_pru) + _, mu_P, mu_seq = CMPruning(mu_y, mu_yt, nb_cls, nb_pru) + assert sum(tr_P) == len(tr_seq) == sum( + bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + assert np.all(np.equal(tr_seq, bi_seq)) and np.all( + np.equal(tr_P, bi_P)) + assert len(set(map(id, [tr_P, bi_P, mu_P]))) == 3 + assert len(set(map(id, [tr_seq, bi_seq, mu_seq]))) == 3 + + +# ---------------------------------- +# tsoumakas2009ensemble + + +# ---------------------------------- +# indyk2014composable +# aghamolaei2015diversity, abbassi2013diversity + + +def test_GMA_diversity(): + from pyfair.granite.ensem_pruning import ( + _GMM_Kappa_sum, GMM_Algorithm) + tr_ans = _GMM_Kappa_sum(tr_yt[0], tr_yt[1:], tr_y) + bi_ans = _GMM_Kappa_sum(bi_yt[0], bi_yt[1:], bi_y) + mu_ans = _GMM_Kappa_sum(mu_yt[0], mu_yt[1:], mu_y) + + assert tr_ans == bi_ans + assert all(isinstance(i, float) for i in [tr_ans, bi_ans, mu_ans]) + assert np.abs(tr_ans) <= nb_cls - 1 + assert np.abs(bi_ans) <= nb_cls - 1 + assert np.abs(mu_ans) <= nb_cls - 1 + + tr_yo, tr_P, tr_seq = GMM_Algorithm(tr_y, tr_yt, nb_cls, nb_pru) + bi_yo, bi_P, bi_seq = GMM_Algorithm(tr_y, tr_yt, nb_cls, nb_pru) + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_yo, bi_P, bi_seq = GMM_Algorithm(bi_y, bi_yt, nb_cls, nb_pru) + mu_yo, mu_P, mu_seq = GMM_Algorithm(mu_y, mu_yt, nb_cls, nb_pru) + assert sum(tr_P) == len(tr_seq) == sum(bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + # NOT TRUE# assert np.all(np.equal(tr_P, bi_P)) + # NOT TRUE# assert np.all(np.equal(tr_seq, bi_seq)) + assert len(set(map(id, [tr_yo, bi_yo, mu_yo]))) == 3 + assert len(set(map(id, [tr_P, bi_P, mu_P]))) == 3 + assert len(set(map(id, [tr_seq, bi_seq, mu_seq]))) == 3 + + +def test_LCS_diversity(): + from pyfair.granite.ensem_pruning import ( + _LocalSearch_kappa_sum, + _LCS_sub_get_index, _LCS_sub_idx_renew, + Local_Search) # ,_LCS_sub_get_index_alt) + tr_ans = _LocalSearch_kappa_sum(tr_yt, tr_y) + bi_ans = _LocalSearch_kappa_sum(bi_yt, bi_y) + mu_ans = _LocalSearch_kappa_sum(mu_yt, mu_y) + + assert tr_ans == bi_ans + assert all(isinstance(i, float) for i in [tr_ans, bi_ans, mu_ans]) + assert np.abs(tr_ans) <= 1 # nb_cls + assert np.abs(bi_ans) <= 1 # nb_cls + assert np.abs(mu_ans) <= 1 # nb_cls + + row, col = 0, 1 + idx4, idx2_A = _LCS_sub_get_index(nb_cls, nb_pru, row, col) + temp, idx2_B = _LCS_sub_get_index(nb_cls, nb_pru, row, col) + idx2_A = idx2_A[: nb_pru] + idx2_B = idx2_B[: nb_pru] + assert id(idx4) != id(temp) + assert len(set(idx4 + [row, col])) == nb_pru + assert 0 <= nb_pru - len(idx4) <= 2 + + P = np.random.randint(2, size=nb_cls, dtype='bool') + epsilon = 1e-3 # 1e-6 + S_within = np.where(P)[0].tolist() + S_without = np.where(np.logical_not(P))[0].tolist() + p, q, T_within, T_without, flag = _LCS_sub_idx_renew( + tr_y, np.array(tr_yt), nb_pru, epsilon, + S_within, S_without) + + if flag: + assert p in S_within and p not in T_within + assert q in S_without and q not in T_without + assert len(S_within) == len(T_within) + assert len(S_without) == len(T_without) + assert len(T_within) + len(T_without) == nb_cls + else: + assert np.all(np.equal(S_within, T_within)) + assert np.all(np.equal(S_without, T_without)) + + p, q, R_within, R_without, flag = _LCS_sub_idx_renew( + bi_y, np.array(bi_yt), nb_pru, epsilon, + S_within, S_without) + assert np.all(np.equal(T_within, R_within)) + assert np.all(np.equal(T_without, R_without)) + p, q, R_within, R_without, flag = _LCS_sub_idx_renew( + mu_y, np.array(mu_yt), nb_pru, epsilon, + S_within, S_without) + assert len(R_within) + len(R_without) == nb_cls + + tr_yo, tr_P, tr_seq = Local_Search( + tr_y, tr_yt, nb_cls, nb_pru, epsilon) + bi_yo, bi_P, bi_seq = Local_Search( + tr_y, tr_yt, nb_cls, nb_pru, epsilon) + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_yo, bi_P, bi_seq = Local_Search( + bi_y, bi_yt, nb_cls, nb_pru, epsilon) + mu_yo, mu_P, mu_seq = Local_Search( + mu_y, mu_yt, nb_cls, nb_pru, epsilon) + assert sum(tr_P) == len(tr_seq) == nb_pru + assert sum(bi_P) == len(bi_seq) == nb_pru + assert sum(mu_P) == len(mu_seq) == nb_pru + + assert len(set(map(id, [tr_yo, bi_yo, mu_yo]))) == 3 + assert len(set(map(id, [tr_P, bi_P, mu_P]))) == 3 + assert len(set(map(id, [tr_seq, bi_seq, mu_seq]))) == 3 + + +# ---------------------------------- +# li2012diversity + + +def test_DREP_binary(): + from pyfair.granite.ensem_pruning import ( + _DREP_fxH, _DREP_diff, _DREP_sub_find_idx, + DREP_Pruning) + tr_ans = _DREP_fxH(tr_yt) + bi_ans = _DREP_fxH(tr_yt) + assert id(tr_ans) != id(bi_ans) + + tr_ans = _DREP_fxH(tr_yt[0]) + bi_ans = _DREP_fxH(tr_yt[0]) + assert id(tr_ans) != id(bi_ans) + + tr_ans = _DREP_diff(tr_ha, tr_hb) + bi_ans = _DREP_diff(tr_ha, tr_hb) + assert id(tr_ans) != id(bi_ans) + assert -1 <= tr_ans == bi_ans <= 1 + + rho = 0.3 + P = np.random.randint(2, size=nb_cls, dtype='bool').tolist() + idx, flag = _DREP_sub_find_idx(tr_y, tr_yt, rho, P) + if not flag: + assert idx < 0 + else: + assert 0 <= idx < nb_cls + assert not P[idx] + + tr_yo, tr_P, tr_seq = DREP_Pruning(tr_y, tr_yt, nb_cls, rho) + bi_yo, bi_P, bi_seq = DREP_Pruning(tr_y, tr_yt, nb_cls, rho) + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_yo, bi_P, bi_seq = DREP_Pruning(bi_y, bi_yt, nb_cls, rho) + # NOT TRUE# assert np.all(np.equal(tr_P, bi_P)) + # because `DREP_fxH` in `DREP_Pruning` involves some random + # NOT ALWAYS TRUE# assert np.all(np.equal(tr_seq, bi_seq)) + # fg = sum(tr_P) == len(tr_seq) == sum(bi_P) == len(bi_seq) + # if not fg: pdb.set_trace() + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + # assert sum(tr_P) == len(tr_seq) == sum(bi_P) == len(bi_seq) + # assert 1 <= len(tr_seq) == len(bi_seq) < nb_cls + + +def test_drep_multi_modify(): + from pyfair.granite.ensem_pruning import ( + _drep_multi_modify_diff, + _drep_multi_modify_findidx) + from pyfair.granite.ensem_pruning import \ + drep_multi_modify_pruning as drep_prune + + tr_ans = _drep_multi_modify_diff(tr_ha, tr_hb) + bi_ans = _drep_multi_modify_diff(tr_ha, tr_hb) + assert id(tr_ans) != id(bi_ans) + bi_ans = _drep_multi_modify_diff(bi_ha, bi_hb) + mu_ans = _drep_multi_modify_diff(mu_ha, mu_hb) + assert -1 <= tr_ans == bi_ans <= 1 and abs(mu_ans) <= 1 + + rho = 0.3 + P = np.random.randint(2, size=nb_cls, dtype='bool').tolist() + tr_idx, tr_fg = _drep_multi_modify_findidx(tr_y, tr_yt, rho, P) + bi_idx, bi_fg = _drep_multi_modify_findidx(tr_y, tr_yt, rho, P) + if tr_fg: + assert (not P[tr_idx]) and (not P[bi_idx]) + assert id(tr_idx) != id(bi_idx) + else: + assert id(tr_idx) == id(bi_idx) + assert id(tr_fg) == id(bi_fg) # ?? + # assert id(tr_fg) != id(bi_fg) # ?? + bi_idx, bi_fg = _drep_multi_modify_findidx(bi_y, bi_yt, rho, P) + mu_idx, mu_fg = _drep_multi_modify_findidx(mu_y, mu_yt, rho, P) + assert tr_idx == bi_idx and tr_fg == bi_fg + assert -1 <= mu_idx < nb_cls and mu_fg + + tr_yo, tr_P, tr_seq = drep_prune(tr_y, tr_yt, nb_cls, rho) + bi_yo, bi_P, bi_seq = drep_prune(tr_y, tr_yt, nb_cls, rho) + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_yo, bi_P, bi_seq = drep_prune(bi_y, bi_yt, nb_cls, rho) + _, mu_P, mu_seq = drep_prune(mu_y, mu_yt, nb_cls, rho) # mu_yo, + assert sum(tr_P) == len(tr_seq) == sum(bi_P) == len(bi_seq) + assert 1 <= len(tr_seq) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + assert np.all(np.equal(tr_P, bi_P)) + assert np.all(np.equal(tr_seq, bi_seq)) + + from pyfair.granite.ensem_pruning import DREP_Pruning + # Notice that DREP_fxH involves random, so DREP_Pruning results changing + # therefore the next two assert might not be true + # but `drep_multi_modify_pruning` doesn't involve random + _, re_P, re_seq = DREP_Pruning(tr_y, tr_yt, nb_cls, rho) + # NOT TRUE# assert np.all(np.equal(tr_seq, re_seq)) + assert 1 <= sum(re_P) == len(re_seq) < nb_cls + _, re_P, re_seq = DREP_Pruning(bi_y, bi_yt, nb_cls, rho) + # NOT TRUE# assert np.all(np.equal(bi_seq, re_seq)) + assert 1 <= sum(re_P) == len(re_seq) < nb_cls + + +# ---------------------------------- +# qian2015pareto + + +def test_PEP_prelim(): + from pyfair.granite.ensem_pruning import ( + _PEP_Hs_x, _PEP_f_Hs, + _PEP_diff_hihj, _PEP_err_hi) + tr_ans = _PEP_diff_hihj(tr_ha, tr_hb) + bi_ans = _PEP_diff_hihj(tr_ha, tr_hb) + assert tr_ans == bi_ans + assert id(tr_ans) != id(bi_ans) + assert all(isinstance(i, float) for i in [tr_ans, bi_ans]) + assert 0 <= tr_ans <= 1 + + tr_ans = _PEP_err_hi(tr_y, tr_yt[-1]) + bi_ans = _PEP_err_hi(tr_y, tr_yt[-1]) + assert tr_ans == bi_ans + assert id(tr_ans) != id(bi_ans) + assert all(isinstance(i, float) for i in [tr_ans, bi_ans]) + assert 0 <= tr_ans <= 1 + + from pyfair.granite.ensem_pruning import ( + _pep_multi_modify_diff_hihj, + _pep_multi_modify_err_hi) + tr_ans = _pep_multi_modify_diff_hihj(tr_ha, tr_hb) + bi_ans = _pep_multi_modify_diff_hihj(bi_ha, bi_hb) + mu_ans = _pep_multi_modify_diff_hihj(mu_ha, mu_hb) + temp = _PEP_diff_hihj(tr_ha, tr_hb) + assert 0 <= tr_ans == bi_ans == temp <= 1 + assert 0 <= mu_ans <= 1 and isinstance(mu_ans, float) + tr_ans = _pep_multi_modify_err_hi(tr_y, tr_yt[-1]) + bi_ans = _pep_multi_modify_err_hi(bi_y, bi_yt[-1]) + mu_ans = _pep_multi_modify_err_hi(mu_y, mu_yt[-1]) + temp = _PEP_err_hi(tr_y, tr_yt[-1]) + assert 0 <= tr_ans == bi_ans == temp <= 1 + assert 0 <= mu_ans <= 1 and isinstance(mu_ans, float) + + s = np.random.randint(2, size=nb_cls, dtype='bool').tolist() + tr_ans = _PEP_Hs_x(tr_y, tr_yt, s) + bi_ans = _PEP_Hs_x(tr_y, tr_yt, s) + assert id(tr_ans) != id(bi_ans) + bi_ans = _PEP_Hs_x(bi_y, bi_yt, s) + mu_ans = _PEP_Hs_x(mu_y, mu_yt, s) + assert np.all(np.equal(np.unique(tr_ans), np.unique(tr_y))) + assert np.all(np.equal(np.unique(bi_ans), np.unique(bi_y))) + assert np.all(np.equal(np.unique(mu_ans), np.unique(mu_y))) + + tr_ans, tr_re = _PEP_f_Hs(tr_y, tr_yt, s) + bi_ans, bi_re = _PEP_f_Hs(tr_y, tr_yt, s) + assert id(tr_re) != id(bi_re) + assert id(tr_ans) != id(bi_ans) + bi_ans, bi_re = _PEP_f_Hs(bi_y, bi_yt, s) + mu_ans, mu_re = _PEP_f_Hs(mu_y, mu_yt, s) + assert 0 <= tr_ans == bi_ans <= 1 + assert 0 <= mu_ans <= 1 + assert np.all(np.equal(tr_re, [i * 2 - 1 for i in bi_re])) + + +def test_pep_OEP_SEP(): + from pyfair.granite.ensem_pruning import ( + _PEP_flipping_uniformly, PEP_SEP, PEP_OEP) + s = np.random.randint(2, size=nb_cls, dtype='bool').tolist() + sp = _PEP_flipping_uniformly(s) + assert len(s) == len(sp) == nb_cls + assert all((i == j or i == 1 - j) for i, j in zip(s, sp)) + assert id(s) != id(sp) + + rho = 0.3 + tr_yo, tr_P, tr_seq = PEP_SEP(tr_y, tr_yt, nb_cls, rho) + bi_yo, bi_P, bi_seq = PEP_SEP(tr_y, tr_yt, nb_cls, rho) + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_yo, bi_P, bi_seq = PEP_SEP(bi_y, bi_yt, nb_cls, rho) + _, mu_P, mu_seq = PEP_SEP(mu_y, mu_yt, nb_cls, rho) # mu_yo, + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + # NOT TRUE# assert 1 <= len(tr_seq) == len(bi_seq) < nb_cls + # because `PEP_flipping_uniformly` involves random + + tr_yo, tr_P, tr_seq = PEP_OEP(tr_y, tr_yt, nb_cls) + bi_yo, bi_P, bi_seq = PEP_OEP(tr_y, tr_yt, nb_cls) + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_yo, bi_P, bi_seq = PEP_OEP(bi_y, bi_yt, nb_cls) + _, mu_P, mu_seq = PEP_OEP(mu_y, mu_yt, nb_cls) # mu_yo, + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + assert len(tr_seq) == len(bi_seq) + assert np.all(np.equal(tr_seq, bi_seq)) + + +def test_pep_dominate(): + from pyfair.granite.ensem_pruning import ( + _PEP_bi_objective, + _PEP_weakly_dominate, _PEP_dominate) + s = np.random.randint(2, size=nb_cls).tolist() + if sum(s) == nb_cls: + s[s.index(1)] = 0 + # for robustness + + tr_ans = _PEP_bi_objective(tr_y, tr_yt, s) + bi_ans = _PEP_bi_objective(tr_y, tr_yt, s) + assert id(tr_ans) != id(bi_ans) # type(tr_ans) + assert id(tr_ans[0]) != id(bi_ans[0]) # + assert id(tr_ans[1]) == id(bi_ans[1]) # + + bi_ans = _PEP_bi_objective(bi_y, bi_yt, s) + mu_ans = _PEP_bi_objective(mu_y, mu_yt, s) + assert np.all(np.equal(tr_ans, bi_ans)) + assert 0 <= tr_ans[0] <= 1 and 1 <= tr_ans[1] < nb_cls + assert 0 <= bi_ans[0] <= 1 and 1 <= bi_ans[1] < nb_cls + assert 0 <= mu_ans[0] <= 1 and 1 <= mu_ans[1] < nb_cls + + gs1, gs2 = (0.48, 3), (0.56, 3) + assert _PEP_weakly_dominate(gs1, gs2) and _PEP_dominate(gs1, gs2) + gs1, gs2 = (0.56, 3), (0.56, 4) + assert _PEP_weakly_dominate(gs1, gs2) and _PEP_dominate(gs1, gs2) + gs1, gs2 = (0.48, 3), (0.48, 3) + assert _PEP_weakly_dominate(gs1, gs2) and not _PEP_dominate(gs1, gs2) + gs1, gs2 = (0.48, 3), (0.47, 4) + assert not _PEP_weakly_dominate(gs1, gs2) + gs1, gs2 = (0.48, 4), (0.48, 3) + assert not _PEP_weakly_dominate(gs1, gs2) + + +def test_pep_VDS_PEP(): + from pyfair.granite.ensem_pruning import _PEP_VDS, PEP_PEP + s = np.random.randint(2, size=nb_cls, dtype='bool').tolist() + tr_Q, tr_L = _PEP_VDS(tr_y, tr_yt, nb_cls, s) + bi_Q, bi_L = _PEP_VDS(tr_y, tr_yt, nb_cls, s) + assert id(tr_Q) != id(bi_Q) and id(tr_L) != id(bi_L) + + bi_Q, bi_L = _PEP_VDS(bi_y, bi_yt, nb_cls, s) + mu_Q, mu_L = _PEP_VDS(mu_y, mu_yt, nb_cls, s) + assert np.all(np.equal(tr_Q, bi_Q)) + assert np.all(np.equal(tr_L, bi_L)) + assert np.shape(mu_Q) == (nb_cls, nb_cls) + assert len(mu_L) == nb_cls and all(isinstance(i, int) for i in mu_L) + assert len(set(tr_L)) == len(set(bi_L)) == len(set(mu_L)) == nb_cls + + rho = 0.3 + tr_yo, tr_P, tr_seq = PEP_PEP(tr_y, tr_yt, nb_cls, rho) + bi_yo, bi_P, bi_seq = PEP_PEP(tr_y, tr_yt, nb_cls, rho) + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + bi_yo, bi_P, bi_seq = PEP_PEP(bi_y, bi_yt, nb_cls, rho) + _, mu_P, mu_seq = PEP_PEP(mu_y, mu_yt, nb_cls, rho) # mu_yo, + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + # PEP involves random so it's possible tr_seq,bi_seq are different + + +def test_pep_refine(): + from pyfair.granite.ensem_pruning import ( + _pep_pep_split_up_nexists, + _pep_pep_refresh_weakly_domi, + pep_pep_integrate) + P = np.random.randint(2, size=(nb_pru, nb_cls)).tolist() + s = np.random.randint(2, size=nb_cls).tolist() + + tr_fg, tr_gz = _pep_pep_split_up_nexists(tr_y, tr_yt, P, s) + bi_fg, bi_gz = _pep_pep_split_up_nexists(bi_y, bi_yt, P, s) + mu_fg, mu_gz = _pep_pep_split_up_nexists(mu_y, mu_yt, P, s) + assert tr_fg == bi_fg and tr_gz == bi_gz + if tr_gz: + assert tr_fg and tr_gz in P + assert bi_fg and bi_gz in P + else: + assert (not tr_gz) and (not bi_gz) + if not mu_gz: + assert not mu_fg + else: + assert mu_fg and mu_gz in P + assert id(tr_gz) != id(bi_gz) + assert id(tr_gz) != id(mu_gz) + assert id(bi_gz) != id(mu_gz) + + tr_P, tr_ans = _pep_pep_refresh_weakly_domi(tr_y, tr_yt, P, s) + bi_P, bi_ans = _pep_pep_refresh_weakly_domi(bi_y, bi_yt, P, s) + mu_P, mu_ans = _pep_pep_refresh_weakly_domi(mu_y, mu_yt, P, s) + assert np.all(np.equal(tr_ans, bi_ans)) + assert len(tr_P) == len(tr_ans) + 1 + assert len(bi_P) == len(bi_ans) + 1 + assert len(mu_P) == len(mu_ans) + 1 + assert id(tr_P) != id(bi_P) and id(tr_ans) != id(bi_ans) + assert id(tr_P) != id(mu_P) and id(tr_ans) != id(mu_ans) + assert id(bi_P) != id(mu_P) and id(bi_ans) != id(mu_ans) + + rho = 0.3 + tr_yo, tr_P, tr_seq = pep_pep_integrate(tr_y, tr_yt, nb_cls, rho) + bi_yo, bi_P, bi_seq = pep_pep_integrate(bi_y, bi_yt, nb_cls, rho) + _, mu_P, mu_seq = pep_pep_integrate(mu_y, mu_yt, nb_cls, rho) # mu_yo, + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + + +def test_pep_PEP_modify(): + from pyfair.granite.ensem_pruning import ( + PEP_PEP_modify, + # pep_pep_integrate_modify, + pep_pep_re_modify) + rho = 0.3 + + tr_yo, tr_P, tr_seq = PEP_PEP_modify(tr_y, tr_yt, nb_cls, rho) + bi_yo, bi_P, bi_seq = PEP_PEP_modify(bi_y, bi_yt, nb_cls, rho) + _, mu_P, mu_seq = PEP_PEP_modify(mu_y, mu_yt, nb_cls, rho) # mu_yo, + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + + tr_yo, tr_P, tr_seq = pep_pep_re_modify(tr_y, tr_yt, nb_cls, rho) + bi_yo, bi_P, bi_seq = pep_pep_re_modify(bi_y, bi_yt, nb_cls, rho) + _, mu_P, mu_seq = pep_pep_re_modify(mu_y, mu_yt, nb_cls, rho) # mu_yo, + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + + +# ---------------------------------- +# contrastive + +# Cannot fix the size of pruned sub-ensemble: +# +# Orientation_Ordering_Pruning +# DREP_Pruning, drep_multi_modify_pruning +# PEP_SEP, PEP_OEP, PEP_PEP, +# pep_pep_integrate +# + + +def test_contrastive(): + from pyfair.granite.ensem_pruning import contrastive_pruning_methods + from pyfair.facil.utils_remark import AVAILABLE_NAME_PRUNE + + epsilon, rho = 1e-3, 0.3 + for name_pru in AVAILABLE_NAME_PRUNE: + tr_yo, tr_P, tr_seq, tr_fg = contrastive_pruning_methods( + name_pru, nb_cls, nb_pru, tr_y, tr_yt, epsilon, rho) + bi_yo, bi_P, bi_seq, bi_fg = contrastive_pruning_methods( + name_pru, nb_cls, nb_pru, tr_y, tr_yt, epsilon, rho) + assert id(tr_yo) != id(bi_yo) + assert id(tr_P) != id(bi_P) + assert id(tr_seq) != id(bi_seq) + + if name_pru == "DREP": + bi_yo, bi_P, bi_seq, bi_fg = contrastive_pruning_methods( + name_pru, nb_cls, nb_pru, bi_y, bi_yt, epsilon, rho) + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + continue + + bi_yo, bi_P, bi_seq, bi_fg = contrastive_pruning_methods( + name_pru, nb_cls, nb_pru, bi_y, bi_yt, epsilon, rho) + _, mu_P, mu_seq, mu_fg = contrastive_pruning_methods( + name_pru, nb_cls, nb_pru, mu_y, mu_yt, epsilon, rho) # mu_yo, + assert 1 <= sum(tr_P) == len(tr_seq) < nb_cls + assert 1 <= sum(bi_P) == len(bi_seq) < nb_cls + assert 1 <= sum(mu_P) == len(mu_seq) < nb_cls + + if name_pru == "OO": + assert 0 <= tr_fg <= np.pi + assert 0 <= bi_fg <= np.pi + assert 0 <= mu_fg <= np.pi + + if name_pru in ["ES", "KL", "KL+", "KPk", "KPz", + "RE", "CM", "GMA", "LCS"]: + assert len(tr_seq) == len(bi_seq) == len(mu_seq) == nb_pru + elif name_pru in ["OO", "DREP", "SEP", "OEP", "PEP", + "PEP+", "pepre", "pepr+", "drepm"]: + pass + + +def test_compared_utus(): + from pyfair.granite.ensem_pruning import \ + contrastive_pruning_according_validation + from pyfair.facil.utils_remark import AVAILABLE_NAME_PRUNE + from sklearn import tree + epsilon, rho = 1e-3, 0.3 + nb_labl = 2 + + y_trn, y_insp, coef = synthetic_set(nb_labl, nb_inst, nb_cls) + y_val, y_cast, _ = synthetic_set(nb_labl, nb_inst, nb_cls) + _, y_pred, _ = synthetic_set(nb_labl, nb_inst, nb_cls) # y_tst, + clfs = [tree.DecisionTreeClassifier() for _ in range(nb_cls)] + + for name_pru in AVAILABLE_NAME_PRUNE: + (opt_coef, opt_clfs, _, _, _, _, _, P, seq, + # ys_insp,ys_cast,ys_pred,ut,us,_,_,flag + _) = contrastive_pruning_according_validation( + name_pru, nb_cls, nb_pru, y_val, y_cast, epsilon, rho, + y_insp, y_pred, coef, clfs) + assert len(opt_coef) == len(opt_clfs) == sum(P) == len(seq) + assert 1 <= len(seq) < nb_cls + + (opt_coef, opt_clfs, _, _, _, _, _, P, seq, + # _, ys_insp, ys_pred,ut,us,_,_,flag + _) = contrastive_pruning_according_validation( + name_pru, nb_cls, nb_pru, y_trn, y_insp, epsilon, rho, + [], y_pred, coef, clfs) + # ys_cast = [] + assert len(opt_coef) == len(opt_clfs) == sum(P) == len(seq) + assert 1 <= len(seq) < nb_cls + + +# ---------------------------------- diff --git a/pyfair/granite/fair_meas_group.py b/pyfair/granite/fair_meas_group.py new file mode 100644 index 0000000..701b994 --- /dev/null +++ b/pyfair/granite/fair_meas_group.py @@ -0,0 +1,688 @@ +# coding: utf-8 +# hfm.experiment/utils/fair_rev_group.py +# +# Aim to provide: +# Discrimination/ fairness metrics +# + + +import numpy as np +from pyfair.facil.utils_timer import fantasy_timer +from pyfair.facil.metric_cont import contingency_tab_bi +from pyfair.marble.metric_fair import ( # hfm.metrics.fair_grp_ext + marginalised_np_mat, marginalised_np_gen, _elem, zero_division) + + +# ===================================== +# Fairness research +# ===================================== + + +# ===================================== +# Group fairness + + +# ------------------------------------- +# Independence +# +# Definition 1. +# Random variables (A,R) satisfy independence if A⊥R. +# e.g. +# Pr{\hat{Y}=1 | A=a} = Pr{\hat{Y}=1 | A=b} +# + + +# Definition 2.1 (Demographic parity /statistic parity) + +class UD_grp1_DP(_elem): + @staticmethod + def _core_alt(g_Cm): + # (tp+fp)/n where n=tp+fp+fn+tn + # return tmp / sum(g_Cm) + tmp = g_Cm[0] + g_Cm[1] + return zero_division(tmp, sum(g_Cm)) + + @classmethod + def _core(cls, g1_Cm, g0_Cm): + g1 = cls._core_alt(g1_Cm) + g0 = cls._core_alt(g0_Cm) + return abs(g0 - g1), float(g1), float(g0) + + @classmethod + @fantasy_timer + def bival(cls, y, y_hat, priv_idx, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, priv_idx) + return cls._core(g1_Cm, g0_Cm) + + @classmethod + @fantasy_timer + def mu_sp(cls, y, y_hat, A, priv_val=1, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, A == priv_val) + return cls._core(g1_Cm, g0_Cm)[0] + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._core_alt(k) for k in g_Cm] + ans = alt = 0. + tmp, nt, n = cls._indices(vA, idx, ex) + for i in tmp: + ans += abs(g[i] - g[idx]) * ex[i] / n + alt += abs(g[i] - g[idx]) * ex[i] / nt + return ans, alt + + @classmethod + @fantasy_timer + def yev_sp(cls, y, y_hat, A, vals_in_A, pos_label=1): + ans_middling, ans, alt = [], 0., 0. + for v in vals_in_A: + res = cls.mu_sp(y, y_hat, A, v, pos_label)[0] + ans_middling.append(res) + alt += res * np.mean(A == v) + ans = float(np.mean(ans_middling)) + return ans, max(ans_middling), float(alt), ans_middling + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_A, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_A[0], pos_label) # priv_val + g = [cls._core_alt(k) for k in g_Cm] + ans = 0. # ans = alt = 0. + ans_mediator, n_a = [], len(vA) + for i in range(n_a - 1): + for j in range(i + 1, n_a): + ans_mediator.append(abs(g[j] - g[i])) + ans = float(np.mean(ans_mediator)) + return ans, max(ans_mediator), ans_mediator + + +# Definition 2.2 + +class UD_grp1_DisI(UD_grp1_DP): + @classmethod + def _core(cls, g1_Cm, g0_Cm): + g1 = cls._core_alt(g1_Cm) + g0 = cls._core_alt(g0_Cm) + return zero_division(g0, g1), float(g1), float(g0) + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._core_alt(k) for k in g_Cm] + ans = alt = 0. + tmp, nt, n = cls._indices(vA, idx, ex) + for i in tmp: + tk = zero_division(g[i], g[idx]) + ans += tk * ex[i] / n + alt += tk * ex[i] / nt + return ans, alt + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_A, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_A[0], pos_label) + g = [cls._core_alt(k) for k in g_Cm] + t1 = cls.yev_cx_v1(cls, g, vA)[: -1] + t2 = cls.yev_cx_v2(cls, g, vA)[: -1] + return t2[0], t1[0], t2[1], t1[1] + + def yev_cx_v1(self, g, vA): + ans_mediator, n_a = [], len(vA) + for i in range(n_a - 1): + for j in range(i + 1, n_a): + ans_mediator.append(zero_division(g[j], g[i])) + ans = float(np.mean(ans_mediator)) + return ans, max(ans_mediator), ans_mediator + + def yev_cx_v2(self, g, vA): + ans_mediator, n_a = [], len(vA) + for i in range(n_a): + for j in range(n_a): + if j == i: + continue + ans_mediator.append(zero_division(g[j], g[i])) + ans = float(np.mean(ans_mediator)) + return ans, max(ans_mediator), ans_mediator + + +# Definition 2.3 (Disparate treatment) + +class UD_grp1_DisT(UD_grp1_DP): + @classmethod + def _core(cls, g1_Cm, g0_Cm): + g1 = cls._core_alt(g1_Cm) + g0 = cls._core_alt(g0_Cm) + z_Cm = [i + j for i, j in zip(g1_Cm, g0_Cm)] + z = cls._core_alt(z_Cm) + n1, n0, n = sum(g1_Cm), sum(g0_Cm), sum(z_Cm) + ans = 0. + ans += abs(g0 - z) * n0 / n + ans += abs(g1 - z) * n1 / n + return ans, z, g1, g0 + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._core_alt(k) for k in g_Cm] + z_Cm = contingency_tab_bi(y, y_hat, pos_label) + z = cls._core_alt(z_Cm) + ans, n = 0., sum(ex) + for i in range(len(vA)): + ans += abs(g[i] - z) * ex[i] / n + return ans + + @classmethod + @fantasy_timer + def yev_sp(cls, y, y_hat, A, vals_in_A, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_A[0], pos_label) + g = [cls._core_alt(k) for k in g_Cm] + z_Cm = contingency_tab_bi(y, y_hat, pos_label) + z = cls._core_alt(z_Cm) + ans_middling = [] + for i in range(len(vA)): + ans_middling.append(abs(g[i] - z)) + return float(np.mean(ans_middling)) + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_Ai, pos_label=1): + return NotImplementedError + + +# Definition 2.7 (Conditional statistical parity) + +# class group1_CSP(group1_DP): +# @classmethod +# def _core(cls, g1_Cm, g0_Cm): +# pass + + +# ------------------------------------- +# Separation +# +# Definition 2. +# Random variables (R,A,Y) satisfy separation if R⊥A|Y. +# e.g. +# Pr{\hat{Y}=1 | Y=1,A=a} = Pr{\hat{Y}=1 | Y=1,A=b} +# Pr{\hat{Y}=1 | Y=0,A=a} = Pr{\hat{Y}=1 | Y=0,A=b} +# + + +# Definition 2.5 (Equality of opportunity) + +class UD_grp2_EO(_elem): + @staticmethod + def _core_alt(g_Cm): + # tp/(tp+fn) + # return g_Cm[0] / check_zero(tmp) + tmp = g_Cm[0] + g_Cm[2] + return zero_division(g_Cm[0], tmp) + + @classmethod + def _core(cls, g1_Cm, g0_Cm): + g1 = cls._core_alt(g1_Cm) + g0 = cls._core_alt(g0_Cm) + return abs(g0 - g1), float(g1), float(g0) + + @classmethod + @fantasy_timer + def bival(cls, y, y_hat, priv_idx, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, priv_idx) + return cls._core(g1_Cm, g0_Cm) + + @classmethod + @fantasy_timer + def mu_sp(cls, y, y_hat, A, priv_val=1, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, A == priv_val) + return cls._core(g1_Cm, g0_Cm)[0] + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._core_alt(k) for k in g_Cm] + ans = alt = 0. + tmp, nt, n = cls._indices(vA, idx, ex) + for i in tmp: + ans += abs(g[i] - g[idx]) * ex[i] / n + alt += abs(g[i] - g[idx]) * ex[i] / nt + return ans, alt + + @classmethod + @fantasy_timer + def yev_sp(cls, y, y_hat, A, vals_in_A, pos_label=1): + ans_middling, ans, alt = [], 0., 0. + for v in vals_in_A: + res = cls.mu_sp(y, y_hat, A, v, pos_label)[0] + ans_middling.append(res) + alt += res * np.mean(A == v) + ans = float(np.mean(ans_middling)) + return ans, max(ans_middling), float(alt), ans_middling + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_Ai, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_Ai[0], pos_label) + g = [cls._core_alt(k) for k in g_Cm] + ans = 0. # ans = alt = 0. + ans_mediator, n_a = [], len(vA) + for i in range(n_a - 1): + for j in range(i + 1, n_a): + ans_mediator.append(abs(g[j] - g[i])) + ans = float(np.mean(ans_mediator)) + return ans, max(ans_mediator), ans_mediator + + +# Definition 2.4 (Equalised odds) + +class UD_grp2_EOdd(UD_grp2_EO): + @staticmethod + def _corrected_neg(g_Cm): + # fp/(fp+tn) + tmp = g_Cm[1] + g_Cm[3] + return zero_division(g_Cm[1], tmp) + + @staticmethod + def _neg_label(y, y_hat, pos_label): + # only for binary classification + neg_label = set(y) | set(y_hat) + if pos_label in neg_label: + neg_label.remove(pos_label) + return list(neg_label)[0] + + @classmethod + @fantasy_timer + def bival(cls, y, y_hat, priv_idx, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, priv_idx) + g_delta, g1, g0 = cls._core(g1_Cm, g0_Cm) + + z1 = cls._corrected_neg(g1_Cm) + z0 = cls._corrected_neg(g0_Cm) + z_delta = abs(z0 - z1) + z1, z0 = float(z1), float(z0) + + n_pos, n = sum(y == pos_label), len(y) + n_neg = n - n_pos # sum(y != pos_label) + ans = g_delta * n_pos / n + z_delta * n_neg / n + return ans, (g_delta, z_delta), (g1, g0, z1, z0) + + @classmethod + @fantasy_timer + def mu_sp(cls, y, y_hat, A, priv_val=1, pos_label=1): + priv_idx = A == priv_val + tmp, _ = cls.bival(y, y_hat, priv_idx, pos_label) + return tmp[0] + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._core_alt(k) for k in g_Cm] + g_ans = g_alt = 0. + tmp, nt, n = cls._indices(vA, idx, ex) + for i in tmp: + g_ans += abs(g[i] - g[idx]) * ex[i] / n + g_alt += abs(g[i] - g[idx]) * ex[i] / nt + + z = [cls._corrected_neg(k) for k in g_Cm] + z_ans = z_alt = 0. + for i in tmp: + z_ans += abs(z[i] - z[idx]) * ex[i] / n + z_alt += abs(z[i] - z[idx]) * ex[i] / nt + + n_pos, n = sum(y == pos_label), len(y) + n_neg = sum(y != pos_label) # n - n_pos + ans = g_ans * n_pos / n + z_ans * n_neg / n + alt = g_alt * n_pos / n + z_alt * n_neg / n + return ans, alt + + @classmethod + @fantasy_timer + def yev_sp(cls, y, y_hat, A, vals_in_A, pos_label=1): + ans_middling, ans, alt = [], 0., 0. + for v in vals_in_A: + res = cls.mu_sp(y, y_hat, A, v, pos_label)[0] + ans_middling.append(res) + alt += res * np.mean(A == v) + ans = float(np.mean(ans_middling)) + return ans, max(ans_middling), float(alt), ans_middling + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_Ai, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_Ai[0], pos_label) + g = [cls._core_alt(k) for k in g_Cm] + n_ai = len(vA) # not n_a + g_ans = g_alt = g_alt_alt = 0. + _, nt, n = cls._indices(vA, idx, ex) + for i in range(n_ai): + for j in range(n_ai): + if j == i: + continue + g_ans += abs(g[j] - g[i]) + g_alt += abs(g[j] - g[i]) * ex[j] / n + g_alt_alt += abs(g[j] - g[i]) * ex[j] / nt + g_ans /= n_ai * (n_ai - 1.) + + z = [cls._corrected_neg(k) for k in g_Cm] + z_ans = z_alt = z_alt_alt = 0. + for i in range(n_ai): + for j in range(n_ai): + if j == i: + continue + z_ans += abs(z[j] - z[i]) + z_alt += abs(z[j] - z[i]) * ex[j] / n + z_alt_alt += abs(z[j] - z[i]) * ex[j] / nt + z_ans /= n_ai * (n_ai - 1.) + + n_pos, n = sum(y == pos_label), len(y) + n_neg = n - n_pos + ans = g_ans * n_pos / n + z_ans * n_neg / n + alt = g_alt * n_pos / n + z_alt * n_neg / n + alt_alt = g_alt_alt * n_pos / n + z_alt_alt * n_neg / n + del g_alt, g_alt_alt, z_alt, z_alt_alt + del n, n_ai, n_pos, n_neg + return ans, alt, alt_alt + + +# Definition 2.8 (Predictive equality) + +class UD_grp2_PEq(UD_grp2_EO): + @classmethod + def _core(cls, g1_Cm, g0_Cm): + g1 = cls._corrected_neg(g1_Cm) + g0 = cls._corrected_neg(g0_Cm) + z_Cm = [i + j for i, j in zip(g1_Cm, g0_Cm)] + z = cls._corrected_neg(z_Cm) + + n1, n0, n = sum(g1_Cm), sum(g0_Cm), sum(z_Cm) + ans = 0. + ans += abs(g0 - z) * n0 / n + ans += abs(g1 - z) * n1 / n + return ans, z, g1, g0 + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._corrected_neg(k) for k in g_Cm] + z_Cm = contingency_tab_bi(y, y_hat, pos_label) + z = cls._corrected_neg(z_Cm) + + ans = 0. # ans = alt = 0. + n = sum(ex) # n, nt = sum(ex), sum(z_Cm) + for i in range(len(vA)): + ans += abs(g[i] - z) * ex[i] / n + return ans + + @staticmethod + def _corrected_neg(g_Cm): + tmp = g_Cm[1] + g_Cm[3] + return zero_division(g_Cm[1], tmp) + + @classmethod + @fantasy_timer + def yev_sp(cls, y, y_hat, A, vals_in_A, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_A[0], pos_label) + g = [cls._corrected_neg(k) for k in g_Cm] + z_Cm = contingency_tab_bi(y, y_hat, pos_label) + z = cls._corrected_neg(z_Cm) + ans_middling = [] # ans, n = 0., sum(ex) + for i in range(len(vA)): + ans_middling.append(abs(g[i] - z)) + return float(np.mean(ans_middling)) + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_Ai, pos_label=1): + return NotImplementedError + + +# ------------------------------------- +# Sufficiency +# +# Definition 3. +# We say the random variables (R,A,Y) satisfy sufficiency +# if Y⊥A|R. +# e.g. +# Pr{Y=1 | R=r,A=a} = Pr{Y=1 | R=r,A=b} +# + + +# Definition 2.6 (Predictive parity) + +class UD_grp3_PQP(_elem): + @staticmethod + def _core_alt(g_Cm): + # tp/(tp+fp) + # return g_Cm[0] / check_zero(tmp) + tmp = g_Cm[0] + g_Cm[1] + return zero_division(g_Cm[0], tmp) + + @classmethod + def _core(cls, g1_Cm, g0_Cm): + g1 = cls._core_alt(g1_Cm) + g0 = cls._core_alt(g0_Cm) + return abs(g0 - g1), float(g1), float(g0) + + @classmethod + @fantasy_timer + def bival(cls, y, y_hat, priv_idx, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, priv_idx) + return cls._core(g1_Cm, g0_Cm) + + @classmethod + @fantasy_timer + def mu_sp(cls, y, y_hat, A, priv_val=1, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, A == priv_val) + return cls._core(g1_Cm, g0_Cm)[0] + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._core_alt(k) for k in g_Cm] + ans = alt = 0. + tmp, nt, n = cls._indices(vA, idx, ex) + for i in tmp: + ans += abs(g[i] - g[idx]) * ex[i] / n + alt += abs(g[i] - g[idx]) * ex[i] / nt + return ans, alt + + @classmethod + @fantasy_timer + def yev_sp(cls, y, y_hat, A, vals_in_A, pos_label=1): + ans_middling, ans, alt = [], 0., 0. + for v in vals_in_A: + res = cls.mu_sp(y, y_hat, A, v, pos_label)[0] + ans_middling.append(res) + alt += res * np.mean(A == v) + ans = float(np.mean(ans_middling)) + return ans, max(ans_middling), float(alt), ans_middling + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_Ai, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_Ai[0], pos_label) + g = [cls._core_alt(k) for k in g_Cm] + ans = 0. # ans = alt = 0. + ans_mediator, n_a = [], len(vA) + for i in range(n_a): + for j in range(i + 1, n_a): + ans_mediator.append(abs(g[j] - g[i])) + ans = float(np.mean(ans_mediator)) + return ans, max(ans_mediator), ans_mediator + + +# ------------------------------------- +# + + +# ===================================== +# Individual fairness +# ------------------------------------- +# Definition 2.10 (General entropy indices) + + +# Definition 2.14 (γ-subgroup fairness) +# that is, False positive (FP) subgroup fairness + +class UD_gammaSubgroup(_elem): + @staticmethod + def _corrected_neg(g_Cm): + # fp/(fp+tn) + # return g_Cm[1] / check_zero(tmp) + tmp = g_Cm[1] + g_Cm[3] + return zero_division(g_Cm[1], tmp) + + @classmethod + def _core(cls, g1_Cm, g0_Cm): + # g1 = cls._corrected_neg(g1_Cm) + g0 = cls._corrected_neg(g0_Cm) + z_Cm = [i + j for i, j in zip(g1_Cm, g0_Cm)] + z = cls._corrected_neg(z_Cm) + # n1, n0 = sum(g1_Cm), sum(g0_Cm) + # n = float(n1 + n0) + n = sum(z_Cm) # sum(g1_Cm)+sum(g0_Cm) + beta_f = abs(g0 - z) + alph_f = (g0_Cm[1] + g0_Cm[3]) / n + return alph_f * beta_f, alph_f, beta_f + + @classmethod + @fantasy_timer + def bival(cls, y, y_hat, priv_idx, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, priv_idx) + return cls._core(g1_Cm, g0_Cm) + + @classmethod + @fantasy_timer + def mu_sp(cls, y, y_hat, A, priv_val=1, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, A == priv_val) + return cls._core(g1_Cm, g0_Cm)[0] + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._corrected_neg(k) for k in g_Cm] + z_Cm = contingency_tab_bi(y, y_hat, pos_label) + z = cls._corrected_neg(z_Cm) + n = float(sum(ex)) + + ans = alt = 0. + tmp, nt, _ = cls._indices(vA, idx, ex) + for i in tmp: + alph_f = (g_Cm[i][1] + g_Cm[i][3]) / n + beta_f = abs(g[i] - z) + ans += alph_f * beta_f * ex[i] / n + alt += alph_f * beta_f * ex[i] / nt + return ans, alt + + @classmethod + @fantasy_timer + def yev_sp(cls, y, y_hat, A, vals_in_A, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_A[0], pos_label) + g = [cls._corrected_neg(k) for k in g_Cm] + z_Cm = contingency_tab_bi(y, y_hat, pos_label) + z = cls._corrected_neg(z_Cm) + n, n_a = float(sum(ex)), len(vA) + ans = alt = 0. + for i in range(n_a): + alph_f = (g_Cm[i][1] + g_Cm[i][3]) / n + beta_f = abs(g[i] - z) + ans += alph_f * beta_f + alt += alph_f * beta_f * ex[i] / n + # ans /= n_a ## len(vals_in_A) + return ans / float(n_a), alt + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_Ai, pos_label=1): + return NotImplementedError + + +# Definition 2.16 (Bounded group loss) + +class UD_BoundedGrpLos(_elem): + @classmethod + def _core(cls, g1_Cm, g0_Cm): + g1 = cls._los4accuracy(g1_Cm) + g0 = cls._los4accuracy(g0_Cm) + n1, n0 = sum(g1_Cm), sum(g0_Cm) + n = float(n1 + n0) + ans = 0. + ans += g1 * n1 / n + ans += g0 * n0 / n + return ans, g1, g0 + + @classmethod + @fantasy_timer + def bival(cls, y, y_hat, priv_idx, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, priv_idx) + return cls._core(g1_Cm, g0_Cm) + + @classmethod + @fantasy_timer + def mu_sp(cls, y, y_hat, A, priv_val=1, pos_label=1): + g1_Cm, g0_Cm = marginalised_np_mat( + y, y_hat, pos_label, A == priv_val) + return cls._core(g1_Cm, g0_Cm)[0] + + @staticmethod + def _los4accuracy(g_Cm): + tmp = g_Cm[0] + g_Cm[3] + tmp = zero_division(tmp, sum(g_Cm)) + return 1. - tmp + + @classmethod + @fantasy_timer + def mu_cx(cls, y, y_hat, A, priv_val=1, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, priv_val, pos_label) + g = [cls._los4accuracy(k) for k in g_Cm] + ans, n = 0., float(sum(ex)) # =len(y | y_hat) + for i in range(len(vA)): + ans += g[i] * ex[i] / n + return ans + + @classmethod + @fantasy_timer + def yev_sp(cls, y, y_hat, A, vals_in_A, pos_label=1): + g_Cm, vA, idx, ex = marginalised_np_gen( + y, y_hat, A, vals_in_A[0], pos_label) + g = [cls._los4accuracy(k) for k in g_Cm] + return float(np.mean(g)) + + @classmethod + @fantasy_timer + def yev_cx(cls, y, y_hat, A, vals_in_Ai, pos_label=1): + return NotImplementedError diff --git a/pyfair/granite/fair_meas_indiv.py b/pyfair/granite/fair_meas_indiv.py new file mode 100644 index 0000000..bca5d60 --- /dev/null +++ b/pyfair/granite/fair_meas_indiv.py @@ -0,0 +1,257 @@ +# coding: utf-8 +# hfm.experiment/utils/fair_rev_indiv.py +# +# Aim to provide: +# Discrimination/ fairness metrics +# + + +import numpy as np +from pyfair.facil.utils_timer import fantasy_timer +from pyfair.facil.utils_const import check_zero +from pyfair.marble.metric_fair import _elem + +from pyfair.dr_hfm.dist_drt import ( + DirectDist_bin, DirectDist_nonbin, DirectDist_multiver) +from pyfair.dr_hfm.dist_est_nonbin import ( + ApproxDist_nonbin_mpver, ExtendDist_multiver_mp) +from pyfair.dr_hfm.dist_est_bin import ApproxDist_bin + +# from hfm.dist_drt import DistDirect_mediator +# from hfm.hfm_df import bias_degree_bin as fair_degree_v3 +# from hfm.hfm_df import bias_degree_nonbin as fair_degree_v4 +# from hfm.hfm_df import bias_degree as fair_degree +# from hfm.dist_est_nonbin import AcceleDist_nonbin as DistAccele + +DistApprox = ApproxDist_nonbin_mpver +del ApproxDist_nonbin_mpver + + +# ===================================== +# Individual fairness + + +# ------------------------------------- +# Definition 2.10 (General entropy indices) + + +class GEI_Theil(_elem): + @staticmethod + def _benefits(y, y_hat): + # bi = y_hat - y + 1 + bi = np.subtract(y_hat, y) + 1 + n = len(y) + mu = np.sum(bi) / float(n) + return bi, mu, n + + @classmethod + @fantasy_timer + def get_GEI(cls, y, y_hat, alpha=.5): + bi, mu, _ = cls._benefits(y, y_hat) + numerator = (bi / mu) ** alpha - 1 + denominator = len(y) * alpha * (alpha - 1) + # return np.sum(numerator) / denominator + ans = np.sum(numerator) / denominator + return float(ans) + + @classmethod + @fantasy_timer + def get_Theil(cls, y, y_hat): + # a special case for alpha=1 + bi, mu, n = cls._benefits(y, y_hat) + tmp_1 = bi / mu + tmp_2 = [check_zero(i) for i in tmp_1] + tmp_2 = np.log(tmp_2) + tmp = tmp_1 * tmp_2 + del tmp_1, tmp_2 + # return np.sum(tmp) / float(n) + ans = np.sum(tmp) / float(n) + return float(ans) + + +# ------------------------------------- +# Definition 2.14 (γ-subgroup fairness) +# that is, False positive (FP) subgroup fairness + + +# ------------------------------------- +# Definition 2.16 (Bounded group loss) + + +# ------------------------------------- +# + + +# ------------------------------------- +# + + +# ===================================== +# Individual fairness (cont.) + + +# ------------------------------------- +# Discriminative risk (DR) + + +class prop_L_fair(_elem): + @staticmethod + @fantasy_timer + def hat_L(y_hat, y_qtb): + tmp = np.not_equal(y_hat, y_qtb) + return float(tmp.mean()) + + @staticmethod + @fantasy_timer + def tandem(fi, fi_q, fk, fk_q): + hi = np.not_equal(fi, fi_q) + hk = np.not_equal(fk, fk_q) + tmp = np.logical_and(hi, hk) + return float(tmp.mean()) + + # Theorem 3.1: First-order oracle bound + @classmethod + @fantasy_timer + def E_rho_L(cls, y_hat, y_qtb, wgt): + E_rho = [cls.hat_L(y, yq)[0] for y, yq in zip(y_hat, y_qtb)] + tmp = np.sum(np.multiply(wgt, E_rho)) + return float(tmp) + + # Theorem 3.3: Second-order oracle bound + @classmethod + def Erho_sup_L(cls, y_hat, y_qtb, wgt, nb_cls=None): + if not nb_cls: + nb_cls = len(wgt) # number of weights + + L_f_fp = [] + for p in range(nb_cls): + tmp = [cls.tandem( + y_hat[p], y_qtb[p], + y_hat[i], y_qtb[i])[0] for i in range(nb_cls)] + L_f_fp.append(tmp) + # L_f_fp: list, shape= (nb_cls, nb_cls) + + E_rho2 = np.sum(np.multiply(L_f_fp, wgt), axis=1) + E_rho2 = np.sum(np.multiply(E_rho2, wgt), axis=0) + # E_rho: list, shape= (nb_cls,) + return float(E_rho2) + + # Lemma 3.2 + @classmethod + def ED_Erho_I(cls, y_hat, y_qtb, wgt): + wt = np.array([wgt]).T + I_f = np.not_equal(y_hat, y_qtb) # sz= (nb_cls, n) + Erho = np.sum(wt * I_f, axis=0) # size= (n,) + ED = np.mean(Erho * Erho) + return float(ED) + + # Theorem 3.4: C-tandem oracle bound + + +class prop_L_loss(_elem): + @staticmethod + @fantasy_timer + def hat_L(y_hat, y): + tmp = np.not_equal(y_hat, y) + return float(tmp.mean()) + + @staticmethod + @fantasy_timer + def tandem(fi, fk, y): + hi = np.not_equal(fi, y) + hk = np.not_equal(fk, y) + tmp = np.logical_and(hi, hk) + return float(tmp.mean()) + + # Theorem 3.1: First-order oracle bound + @classmethod + @fantasy_timer + def E_rho_L(cls, y_hat, y, wgt): + E_rho = [cls.hat_L(yp, y)[0] for yp in y_hat] + tmp = np.sum(np.multiply(wgt, E_rho)) + return float(tmp) + + # Theorem 3.3: Second-order oracle bound + @classmethod + def Erho_sup_L(cls, y_hat, y, wgt, nb_cls=None): + if not nb_cls: + nb_cls = len(wgt) # length of weights + + L_f_fp = [] + for p in range(nb_cls): + tmp = [cls.tandem( + y_hat[p], y_hat[i], y)[0] for i in range(nb_cls)] + L_f_fp.append(tmp) + # L_f_fp: list, shape= (nb_cls, nb_cls) + + E_rho2 = np.sum(np.multiply(L_f_fp, wgt), axis=1) + E_rho2 = np.sum(np.multiply(E_rho2, wgt), axis=0) + return float(E_rho2) + + # Lemma 3.2 + @classmethod + def ED_Erho_I(cls, y_hat, y, wgt): + wt = np.array([wgt]).T + I_f = np.not_equal(y_hat, y) # sz= (nb_cls, n) + Erho = np.sum(wt * I_f, axis=0) # size= (n,) + ED = np.mean(Erho * Erho) + return float(ED) + + # Theorem 3.4: C-tandem oracle bound + + +# ------------------------------------- +# Harmonious fairness via manifolds + + +class DistDirect(_elem): + @staticmethod + def bin(X_nA_y, idx_Si): + # return DistDirect_bin(X_nA_y, idx_Si) + return DirectDist_bin(X_nA_y, idx_Si) + + @staticmethod + def nonbin(X_nA_y, idx_Sjs): + # return DistDirect_nonbin(X_nA_y, idx_Sjs) + return DirectDist_nonbin(X_nA_y, idx_Sjs) + + @staticmethod + def multivar(X_nA_y, idx_As_Sj): + # return DistDirect_multivar(X_nA_y, idx_As_Sj) + return DirectDist_multiver(X_nA_y, idx_As_Sj) + + +# class HFM_Approx_bin(_elem): +# @staticmethod +# def bin(X_nA_y, A_j, idx_Sj, m1, m2): +# # ''' +# # Si_c = ~idx_Sj # idx_Sj: i.e. indices of non_sa +# # return ApproxDist_bin(X_nA_y, A_j, Si_c, idx_Sj, m1, m2) +# # ''' +# return ApproxDist_bin(X_nA_y, A_j, idx_Sj, m1, m2) +# +# +# class HFM_DistApprox(_elem): +# @staticmethod +# def bin(X_nA_y, A_j, m1, m2, n_e=3, pool=None): +# # B_j = A_j.copy() +# # B_j[B_j != 1] = 0 # privileged_val = 1 +# # return DistApprox(X_nA_y, B_j, m1, m2, n_e, pool) +# return DistApprox(X_nA_y, A_j, m1, m2, n_e, pool) +# +# @staticmethod +# def nonbin(X_nA_y, A_j, m1, m2, n_e=3, pool=None): +# return DistApprox(X_nA_y, A_j, m1, m2, n_e, pool) +# +# @staticmethod +# def multivar(X_nA_y, A, m1, m2, n_e=3, pool=None): +# # return DistExtend(X_nA_y, A, m1, m2, n_e, pool) +# return ExtendDist_multiver_mp( +# X_nA_y, A, m1, m2, n_e, pool) + + +# ------------------------------------- +# + +# ------------------------------------- +# diff --git a/pyfair/granite/test_fair_measure.py b/pyfair/granite/test_fair_measure.py new file mode 100644 index 0000000..64f49ba --- /dev/null +++ b/pyfair/granite/test_fair_measure.py @@ -0,0 +1,360 @@ +# coding: utf-8 + + +from pyfair.facil.utils_const import ( + synthetic_clf, synthetic_set, judge_transform_need, check_equal) +from pyfair.marble.metric_fair import ( # hfm.metrics.fairness_grp + marginalised_pd_mat, prev_unpriv_manual, prev_unpriv_unaware, + prev_unpriv_grp_one, prev_unpriv_grp_two, prev_unpriv_grp_thr) +from pyfair.marble.metric_fair import ( # hfm.metrics.fair_grp_ext + marginalised_np_mat, unpriv_manual, unpriv_unaware, + unpriv_group_one, unpriv_group_two, unpriv_group_thr, + zero_division, calc_fair_group, StatsParity_sing, + extGrp1_DP_sing, extGrp2_EO_sing, extGrp3_PQP_sing, alterGrps_sing) +# from experiment.utils.fair_rev_group import ( +# UD_grp1_DP, UD_grp2_EO, UD_grp3_PQP) +# from hfm.utils.simulator import synthetic_clf, synthetic_set +# from hfm.utils.verifiers import judge_transform_need, check_equal + + +import numpy as np +import pdb +# import lightgbm + +from pyfair.facil.utils_const import check_equal +# from pyfair.marble.metric_fair import ( +# marginalised_np_mat, marginalised_np_gen) # addtl,addl +from pyfair.granite.fair_meas_indiv import ( + GEI_Theil, # prop_L_fair, prop_L_loss, + DistDirect) # HFM_Approx_bin, HFM_DistApprox) +from pyfair.granite.fair_meas_group import ( + UD_grp1_DP, UD_grp1_DisI, UD_grp1_DisT, + UD_grp2_EO, UD_grp2_EOdd, UD_grp2_PEq, + UD_grp3_PQP, UD_gammaSubgroup, UD_BoundedGrpLos) + +# from pyfair.datasets import PropublicaViolentRecidivism +# from pyfair.preprocessing_hfm import ( +# renewed_prep_and_adversarial, renewed_transform_X_A_and_y, +# check_marginalised_indices) +# from pyfair.preprocessing_dr import transform_unpriv_tag + + +n = 110 +y = np.random.randint(2, size=n) +y_hat = np.random.randint(2, size=n) + +nc, na = 3, 2 +A = np.random.randint(nc, size=(n, na)) + 1 +idx_Ai_Sjs = [[A[:, i] == j + 1 for j in range( + nc)] for i in range(na)] +idx_Sjs = [A[:, 0] == j + 1 for j in range(nc)] + +A_bin = A.copy() +A_bin[A_bin != 1] = 0 +idx_a = [[A_bin[:, i] == 1, A_bin[:, i] != 1] for i in range(na)] +idx_ai = idx_a[0] +pos, priv_val = 1, 1, +A_i, priv_idx = A[:, 1], A[:, 1] == 1 +vals_in_Ai = list(set(A_i)) +A1_bin, val_A1 = A_bin[:, 1], [1, 0] + +hfm_idx_nsa_bin = [idx_Ai_Sjs[1][0], ~idx_Ai_Sjs[1][0]] + + +""" +ds = PropublicaViolentRecidivism() +df = ds.load_raw_dataset() +(origin_dat, processed_dat, process_mult, perturbed_dat, perturb_mult + ) = renewed_prep_and_adversarial(ds, df, .97, None) +processed_Xy = process_mult['numerical-multisen'] +perturbed_Xy = perturb_mult['numerical-multisen'] +X, A, y, _ = renewed_transform_X_A_and_y(ds, processed_Xy, False) +_, Aq, _, _ = renewed_transform_X_A_and_y(ds, perturbed_Xy, False) +# tmp = processed_dat['original'][ds.label_name] +sen_att = ds.get_sensitive_attrs_with_joint()[: 2] +priv_val = ds.get_privileged_group_with_joint('')[: 2] +marginalised_grp = origin_dat['marginalised_groups'] +margin_indices = check_marginalised_indices( + processed_dat['original'], sen_att, priv_val, + marginalised_grp) +# new_attr = '-'.join(sen_att) if len(sen_att) > 1 else None +# belongs_priv, ptb_with_joint = transform_unpriv_tag( +# ds, processed_dat['original'], 'both') + +X_and_A = np.concatenate([X, A], axis=1) +X_and_Aq = np.concatenate([X, Aq], axis=1) +clf = lightgbm.LGBMClassifier(n_estimators=7) +clf.fit(X_and_A, y) +clf.fit(X_and_A, y) +clf.fit(X_and_A, y) +y_hat = clf.predict(X_and_A) +pos = ds.get_positive_class_val('') +y, priv_val = y.values, 1 +A_i = A['race'].values # A[:, 1] +priv_idx = margin_indices[1][0] # A_i == priv_val[1] +vals_in_Ai = list(set(A_i)) +# pdb.set_trace() +del ds, df, origin_dat, processed_Xy, perturbed_Xy # , tmp +del processed_dat, process_mult, perturbed_dat, perturb_mult +# del new_attr, belongs_priv, ptb_with_joint +acc = (y == y_hat).mean() +""" + + +def test_metric_grp1(): + m1 = UD_grp1_DP.bival(y, y_hat, priv_idx, pos) + m2 = UD_grp1_DP.mu_sp(y, y_hat, A_i, priv_val, pos) + m3 = UD_grp1_DP.mu_cx(y, y_hat, A_i, priv_val, pos) + # assert m1[0][0] == m2[0] < m3[0][0] # fp = + tm1, _ = extGrp1_DP_sing(y, y_hat, hfm_idx_nsa_bin, pos) + tm2, _ = extGrp1_DP_sing(y, y_hat, idx_Ai_Sjs[1], pos) + tm3, _ = alterGrps_sing(tm2[-1], idx_Ai_Sjs[1]) + assert tm1[0] <= tm2[0] < tm3[0] + + m4 = UD_grp1_DP.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + m5 = UD_grp1_DP.yev_cx(y, y_hat, A_i, vals_in_Ai, pos) + m6 = UD_grp1_DP.yev_cx(y, y_hat, A1_bin, val_A1, pos) + m7 = UD_grp1_DP.mu_sp(y, y_hat, A1_bin, priv_val, pos) + m8 = UD_grp1_DP.mu_cx(y, y_hat, A1_bin, priv_val, pos) + assert check_equal(m1[0][0], [m2[0], m4[0][3][0]]) # m3[0][0], + assert check_equal(m6[0][2][0], [m7[0], m8[0][1]]) # m8[0][0]]) + + qa_1 = UD_grp1_DisI.bival(y, y_hat, priv_idx, pos) + qa_2 = UD_grp1_DisI.mu_sp(y, y_hat, A_i, priv_val, pos) + qa_3 = UD_grp1_DisI.mu_cx(y, y_hat, A_i, priv_val, pos) + + qa_4 = UD_grp1_DisI.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + qa_5 = UD_grp1_DisI.yev_cx(y, y_hat, A_i, vals_in_Ai, pos) + qa_6 = UD_grp1_DisI.yev_cx(y, y_hat, A1_bin, val_A1, pos) + qa_7 = UD_grp1_DisI.mu_sp(y, y_hat, A1_bin, priv_val, pos) + qa_8 = UD_grp1_DisI.mu_cx(y, y_hat, A1_bin, priv_val, pos) + assert check_equal(qa_1[0][0], [qa_2[0], qa_4[0][3][0]]) + # assert check_equal(qa_6[0][2][0], [qa_7[0], qa_8[0][1]]) + assert check_equal(qa_7[0], qa_8[0][1]) + + qb_1 = UD_grp1_DisT.bival(y, y_hat, priv_idx, pos) + qb_2 = UD_grp1_DisT.mu_sp(y, y_hat, A_i, priv_val, pos) + qb_3 = UD_grp1_DisT.mu_cx(y, y_hat, A_i, priv_val, pos) + + qb_5_a = UD_grp1_DisT.mu_sp(y, y_hat, A1_bin, priv_val, pos) + qb_5_b = UD_grp1_DisT.mu_cx(y, y_hat, A1_bin, priv_val, pos) + qb_4 = UD_grp1_DisT.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + qb_6 = UD_grp1_DisT.yev_sp(y, y_hat, A1_bin, val_A1, pos) + qb_7 = UD_grp1_DisT.mu_sp(y, y_hat, A1_bin, priv_val, pos) + qb_8 = UD_grp1_DisT.mu_cx(y, y_hat, A1_bin, priv_val, pos) + assert check_equal(qb_1[0][0], [qb_2[0], qb_7[0], qb_8[0], + qb_5_a[0], qb_5_b[0]]) + + # pdb.set_trace() + return + + +def test_metric_grp2(): + m1 = UD_grp2_EO.bival(y, y_hat, priv_idx, pos) + m2 = UD_grp2_EO.mu_sp(y, y_hat, A_i, priv_val, pos) + m3 = UD_grp2_EO.mu_cx(y, y_hat, A_i, priv_val, pos) + # assert m1[0][0] == m2[0] < m3[0][0] # fp = + tm1, _ = extGrp2_EO_sing(y, y_hat, hfm_idx_nsa_bin, pos) + tm2, _ = extGrp2_EO_sing(y, y_hat, idx_Ai_Sjs[1], pos) + tm3, _ = alterGrps_sing(tm2[-1], idx_Ai_Sjs[1]) + assert tm1[0] <= tm2[0] < tm3[0] + + m4 = UD_grp2_EO.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + m5 = UD_grp2_EO.yev_cx(y, y_hat, A_i, vals_in_Ai, pos) + m6 = UD_grp2_EO.yev_cx(y, y_hat, A1_bin, val_A1, pos) + m7 = UD_grp2_EO.mu_sp(y, y_hat, A1_bin, priv_val, pos) + m8 = UD_grp2_EO.mu_cx(y, y_hat, A1_bin, priv_val, pos) + assert check_equal(m1[0][0], [m2[0], m4[0][3][0]]) + assert check_equal(m6[0][2][0], [m7[0], m8[0][1]]) + + qa_1 = UD_grp2_EOdd.bival(y, y_hat, priv_idx, pos) + qa_2 = UD_grp2_EOdd.mu_sp(y, y_hat, A_i, priv_val, pos) + qa_3 = UD_grp2_EOdd.mu_cx(y, y_hat, A_i, priv_val, pos) + + qa_4 = UD_grp2_EOdd.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + qa_5 = UD_grp2_EOdd.yev_cx(y, y_hat, A_i, vals_in_Ai, pos) + qa_6 = UD_grp2_EOdd.yev_cx(y, y_hat, A1_bin, val_A1, pos) + qa_7 = UD_grp2_EOdd.mu_sp(y, y_hat, A1_bin, priv_val, pos) + qa_8 = UD_grp2_EOdd.mu_cx(y, y_hat, A1_bin, priv_val, pos) + # assert check_equal(qa_1[0][0], [qa_2[0][0], qa_4[0][3][0]]) + assert check_equal(qa_1[0][0], [qa_2[0], qa_4[0][3][0]]) + # assert check_equal(qa_6[0][2][0], [qa_7[0], qa_8[0][0]]) + # TODO + assert check_equal(qa_2[0], [qa_7[0], qa_8[0][1], qa_6[0][1]]) + + qb_1 = UD_grp2_PEq.bival(y, y_hat, priv_idx, pos) + qb_2 = UD_grp2_PEq.mu_sp(y, y_hat, A_i, priv_val, pos) + qb_3 = UD_grp2_PEq.mu_cx(y, y_hat, A_i, priv_val, pos) + + qb_4 = UD_grp2_PEq.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + qb_6 = UD_grp2_PEq.yev_sp(y, y_hat, A1_bin, val_A1, pos) + qb_7 = UD_grp2_PEq.mu_sp(y, y_hat, A1_bin, priv_val, pos) + qb_8 = UD_grp2_PEq.mu_cx(y, y_hat, A1_bin, priv_val, pos) + assert check_equal(qb_1[0][0], qb_2[0]) # [qb_2[0], qb_4[0][3][0]]) + assert check_equal(qb_2[0], [qb_7[0], qb_8[0]]) + + # pdb.set_trace() + return + + +def test_metric_grp3(): + m1 = UD_grp3_PQP.bival(y, y_hat, priv_idx, pos) + m2 = UD_grp3_PQP.mu_sp(y, y_hat, A_i, priv_val, pos) + m3 = UD_grp3_PQP.mu_cx(y, y_hat, A_i, priv_val, pos) + # assert m1[0][0] == m2[0] < m3[0][0] # fp = + # tm1, _ = extGrp3_PQP_sing(y, y_hat, [ + # idx_Ai_Sjs[1][0], ~idx_Ai_Sjs[1][0]], pos) + tm1, _ = extGrp3_PQP_sing(y, y_hat, hfm_idx_nsa_bin, pos) + tm2, _ = extGrp3_PQP_sing(y, y_hat, idx_Ai_Sjs[1], pos) + tm3, _ = alterGrps_sing(tm2[-1], idx_Ai_Sjs[1]) + # assert tm1[0][0] < tm2[0][0] < tm3[0] + assert tm1[0] <= tm2[0] < tm3[0] + + m4 = UD_grp3_PQP.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + # assert check_equal(m1[0], [m2[0], m3[0][0], m4[0][3][0]]) + m5 = UD_grp3_PQP.yev_cx(y, y_hat, A_i, vals_in_Ai, pos) + m6 = UD_grp3_PQP.yev_cx(y, y_hat, A1_bin, val_A1, pos) + m7 = UD_grp3_PQP.mu_sp(y, y_hat, A1_bin, priv_val, pos) + m8 = UD_grp3_PQP.mu_cx(y, y_hat, A1_bin, priv_val, pos) + assert check_equal(m1[0][0], [m2[0], m4[0][3][0]]) + assert check_equal(m6[0][2][0], [m7[0], m8[0][1]]) + + # pdb.set_trace() + return + + +def test_metric_indv(): + m1 = UD_gammaSubgroup.bival(y, y_hat, priv_idx, pos) + m2 = UD_gammaSubgroup.mu_sp(y, y_hat, A_i, priv_val, pos) + m3 = UD_gammaSubgroup.mu_cx(y, y_hat, A_i, priv_val, pos) + m4 = UD_gammaSubgroup.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + m7 = UD_gammaSubgroup.mu_sp(y, y_hat, A1_bin, priv_val, pos) + m8 = UD_gammaSubgroup.mu_cx(y, y_hat, A1_bin, priv_val, pos) + assert check_equal(m1[0][0], [m2[0], m7[0], m8[0][1]]) + + m1 = UD_BoundedGrpLos.bival(y, y_hat, priv_idx, pos) + m2 = UD_BoundedGrpLos.mu_sp(y, y_hat, A_i, priv_val, pos) + m3 = UD_BoundedGrpLos.mu_cx(y, y_hat, A_i, priv_val, pos) + m4 = UD_BoundedGrpLos.yev_sp(y, y_hat, A_i, vals_in_Ai, pos) + m7 = UD_BoundedGrpLos.mu_sp(y, y_hat, A1_bin, priv_val, pos) + m8 = UD_BoundedGrpLos.mu_cx(y, y_hat, A1_bin, priv_val, pos) + assert check_equal(m1[0][0], [m2[0], m3[0], m7[0], m8[0]]) + assert check_equal(m2[0], m3[0]) + + t1, _ = GEI_Theil.get_GEI(y, y_hat, alpha=.5) + t2, _ = GEI_Theil.get_Theil(y, y_hat) + assert 0 <= t1 <= 1 and 0. <= t2 <= 1. + X_nA_y = np.concatenate([ + np.random.randint(2, size=n).reshape(-1, 1).astype('float'), + np.random.rand(n, 3), ], axis=1) + t1, _ = DistDirect.bin(X_nA_y, idx_Ai_Sjs[1][0]) # hfm_idx_nsa_bin[0]) + # t2 = DistDirect.bin(X_nA_y, idx_Ai_Sjs[1][0]) #,idx_Ai_Sjs[1]) #A_i) + t3, _ = DistDirect.nonbin(X_nA_y, hfm_idx_nsa_bin) + t4, _ = DistDirect.nonbin(X_nA_y, idx_Ai_Sjs[1]) + t5, _ = DistDirect.multivar(X_nA_y, [hfm_idx_nsa_bin]) + t6, _ = DistDirect.multivar(X_nA_y, [idx_Ai_Sjs[1]]) + assert check_equal(t1, t3) and check_equal(t1, t5[:-1]) + assert check_equal(t4, t6[:-1]) + + # m1, m2 = 3, 5 + # tm1, _ = HFM_Approx_bin.bin(X_nA_y, A_i, idx_Ai_Sjs[1][0], m1, m2) + # tm2, _ = HFM_DistApprox.nonbin( # .bin( + # X_nA_y, idx_Ai_Sjs[1][0].astype('int'), m1, m2) + # tm3, _ = HFM_DistApprox.nonbin(X_nA_y, A_i, m1, m2) + # tm4, _ = HFM_DistApprox.multivar(X_nA_y, A_i.reshape(-1, 1), m1, m2) + # tm5, _ = HFM_DistApprox.multivar( + # X_nA_y, idx_Ai_Sjs[1][0].astype('int').reshape(-1, 1), m1, m2) + # assert tm1 >= t1[0] + # assert tm2[0] >= t3[0] and tm2[1] >= t3[1] + # assert tm3[0] >= t4[0] and tm3[1] >= t4[1] + # assert tm4[0] >= t6[0] and tm4[1] >= t6[1] + # assert tm5[0] >= t5[0] and tm5[1] >= t5[1] + # # pdb.set_trace() + return + + +# ========================== +# -------------------------- +# hfm/metrics/test_fairness.py + + +nb_spl, nb_lbl, nb_clf = 371, 3, 2 # nb_clf=7 +y_bin, _, _ = synthetic_set(2, nb_spl, nb_clf) +y_non, _, _ = synthetic_set(nb_lbl, nb_spl, nb_clf) +ht_bin = synthetic_clf(y_bin, nb_clf, err=.4) +ht_non = synthetic_clf(y_non, nb_clf, err=.4) + +idx_priv = np.random.randint(2, size=nb_spl, dtype='bool') +idx_Sjs = [idx_priv == 1, idx_priv == 0] +multi_pv = np.random.randint(3, size=nb_spl, dtype='int') +Sjs_bin = [multi_pv == 1, multi_pv != 1] +Sjs_non = [multi_pv == 1, multi_pv == 0, multi_pv == 2] + + +def test_group_fair(): + def subroutine(y, hx, pos, priv): + vY, dY = judge_transform_need(y) + vY = vY[:: -1] + z, ht = np.array(y), np.array(hx) + g1M, g0M = marginalised_np_mat(z, ht, pos, priv) + _, _, c1, c0 = marginalised_pd_mat(z, ht, pos, priv) + + just_one = unpriv_group_one(g1M, g0M) + just_two = unpriv_group_two(g1M, g0M) + just_thr = unpriv_group_thr(g1M, g0M) + just_zero = unpriv_unaware(g1M, g0M) + just_four = unpriv_manual(g1M, g0M) + assert check_equal(just_one, prev_unpriv_grp_one(c1, c0)) + assert check_equal(just_two, prev_unpriv_grp_two(c1, c0)) + assert check_equal(just_thr, prev_unpriv_grp_thr(c1, c0)) + assert check_equal(just_zero, prev_unpriv_unaware(c1, c0)) + assert check_equal(just_four, prev_unpriv_manual(c1, c0)) + + assert zero_division(0., 0.) == 0. + assert zero_division(1., 0.) == 10 + assert zero_division(1.5, 0.2) == 7.5 + ans = calc_fair_group(*just_one) + res = StatsParity_sing(ht, idx_Sjs, pos)[0] + tmp = extGrp1_DP_sing(z, ht, idx_Sjs, pos)[0][: -1] + assert check_equal(res, tmp) + assert 0. <= ans <= 1. + + # pdb.set_trace() + subroutine(y_bin, ht_bin[0], 1, idx_priv) + subroutine(y_non, ht_non[0], 1, idx_priv) + return + + +def test_fair_update(): + vY, dY = judge_transform_need(y_bin) + vY = vY[:: -1] + z, ht = np.array(y_bin), np.array(ht_bin[0]) + g1, g0 = marginalised_np_mat(z, ht, 1, Sjs_bin[0]) + + just_one = unpriv_group_one(g1, g0) + just_two = unpriv_group_two(g1, g0) + just_thr = unpriv_group_thr(g1, g0) + ans_1 = calc_fair_group(*just_one) + ans_2 = calc_fair_group(*just_two) + ans_3 = calc_fair_group(*just_thr) + val_inA = [1, 0, 2] + + def sub_update(ans, pos, priv, func, extcls, grpstr): + tmp_1 = func(z, ht, Sjs_bin, pos)[0] + tmp_2 = func(z, ht, Sjs_non, pos)[0] + res_0 = extcls.bival(z, ht, Sjs_bin[0], pos)[0] + res_1 = extcls.mu_sp(z, ht, priv, 1, pos)[0] + res_2 = extcls.mu_cx(z, ht, priv, 1, pos)[0] + res_3 = extcls.yev_sp(z, ht, priv, val_inA, pos)[0] + res_4 = extcls.yev_cx(z, ht, priv, val_inA, pos)[0] + + assert len(tmp_1[-1]) == 2 and len(tmp_2[-1]) == 3 + assert ans == res_0[0] == res_1 + # pdb.set_trace() + # if grpstr in ('DP'): + # assert check_equal(res_1, res_2[1]) + + sub_update(ans_1, 1, multi_pv, extGrp1_DP_sing, UD_grp1_DP, 'DP') + sub_update(ans_2, 1, multi_pv, extGrp2_EO_sing, UD_grp2_EO, 'EO') + sub_update(ans_3, 1, multi_pv, extGrp3_PQP_sing, UD_grp3_PQP, 'PP') + return diff --git a/pyfair/marble/__init__.py b/pyfair/marble/__init__.py new file mode 100644 index 0000000..49ae16c --- /dev/null +++ b/pyfair/marble/__init__.py @@ -0,0 +1,40 @@ +# coding: utf-8 +# pyfair.junior/utils + + +from pyfair.marble.data_classify import ( + # BaggingEnsembleAlgorithm, BoostingEnsemble_multiclass, + EnsembleAlgorithm) + +from pyfair.marble.metric_perf import ( + calc_accuracy, calc_precision, calc_recall, calc_f1_score, + calc_f_beta, calc_sensitivity, calc_specificity, + imba_geometric_mean, imba_discriminant_power, + imba_balanced_accuracy, imba_Matthew_s_cc, imba_Cohen_s_kappa, + imba_Youden_s_index, imba_likelihoods) + +from pyfair.marble.metric_fair import ( + prev_unpriv_grp_one, prev_unpriv_grp_two, prev_unpriv_grp_thr, + marginalised_pd_mat, prev_unpriv_unaware, prev_unpriv_manual, + unpriv_group_one, unpriv_group_two, unpriv_group_thr, + marginalised_np_mat, unpriv_unaware, unpriv_manual) + + +__all__ = [ + 'EnsembleAlgorithm', + + 'marginalised_pd_mat', 'marginalised_np_mat', + 'prev_unpriv_grp_one', 'unpriv_group_one', + 'prev_unpriv_grp_two', 'unpriv_group_two', + 'prev_unpriv_grp_thr', 'unpriv_group_thr', + 'prev_unpriv_unaware', 'unpriv_unaware', + 'prev_unpriv_manual', 'unpriv_manual', + + 'calc_accuracy', 'calc_precision', 'calc_recall', + 'calc_f1_score', 'calc_f_beta', + 'calc_sensitivity', 'calc_specificity', + 'imba_geometric_mean', 'imba_discriminant_power', + 'imba_balanced_accuracy', + 'imba_Matthew_s_cc', 'imba_Cohen_s_kappa', + 'imba_Youden_s_index', 'imba_likelihoods', +] diff --git a/pyfair/marble/data_classify.py b/pyfair/marble/data_classify.py new file mode 100644 index 0000000..5bc53bb --- /dev/null +++ b/pyfair/marble/data_classify.py @@ -0,0 +1,560 @@ +# coding: utf-8 +# Author: Yijun +# +# Target: +# Classify data (Bagging and AdaBoost) for experiments +# + + +from copy import deepcopy +import gc +import time +import numpy as np +# from pathos import multiprocessing as pp +# from pyfairness.facil.pkgs_pympler import asizeof +from pympler.asizeof import asizeof + +from pyfair.facil.utils_const import ( + check_zero, judge_transform_need, random_seed_generator, + DTY_FLT, DTY_INT,) +from pyfair.facil.utils_remark import INDIVIDUALS + +gc.enable() + + +# ============================================ +# Obtain ensemble, for binary classification +# ============================================ +# +# from sklearn import tree # DecisionTreeClassifier() +# from sklearn import naive_bayes # GaussianNB, MultinomialNB, BernoulliNB +# from sklearn import svm # SVC, NuSVC, LinearSVC +# +# X_trn, X_tst, X_val: list, [[nb_feat] nb_?] +# y_trn, y_tst, y_val: list, [nb_trn/tst/val] +# Y \in {0, 1} +# y_insp: list, [[nb_trn] nb_cls], inspect +# y_pred: list, [[nb_tst] nb_cls], predict +# y_cast: list, [[nb_val] nb_cls], verdict/validate +# coefficient: list, [nb_cls] +# weights (in resample): list, [nb_y/X] +# + + +# def individual(args): +# name_cls = args[0] +# wX, wy = args[1:] +# return name_cls.fit(wX, wy) +# +def individual(name_cls, wX, wy): + return name_cls.fit(wX, wy) +# works for list and np.ndarray + + +# def renew_random_seed_generator(): +# rndsed = int(time.time() * GAP_MID % GAP_INF) +# prng = np.random.RandomState(rndsed) +# return rndsed, prng + + +# ---------------------------------- +# Ensemble: Bagging +# ---------------------------------- +# return: list +# works for multi-class + + +def _BaggingSelectTraining(X_trn, y_trn): + X_trn = np.array(X_trn, dtype=DTY_FLT) + y_trn = np.array(y_trn, dtype=DTY_INT) + vY = np.unique(y_trn) + dY = len(vY) + stack_X, stack_y = [], [] # temporal + idx_stack = [] + + rndsed, prng = random_seed_generator() + for k in range(dY): + idx = (y_trn == vY[k]) + tem_X = X_trn[idx] + tem_y = y_trn[idx] + # idx = prng.randint(0, len(tem_y), size=len(tem_y)) + + idx_tmp = np.where(idx)[0] + idx = prng.randint(0, len(idx_tmp), size=len(idx_tmp)) + idx_tmp = idx_tmp[idx] + + tem_X = tem_X[idx].tolist() + tem_y = tem_y[idx].tolist() + stack_X.append(tem_X) # deepcopy(tem_X)) + stack_y.append(tem_y) # deepcopy(tem_y)) + + idx_stack.append(idx_tmp) + del idx, tem_X, tem_y + del X_trn, y_trn, vY, dY + + tem_X = np.concatenate(stack_X, axis=0) + tem_y = np.concatenate(stack_y, axis=0) + idx_tmp = np.concatenate(idx_stack, axis=0) + idx = list(range(len(tem_y))) + prng.shuffle(idx) # np.random + wX = tem_X[idx].tolist() + wy = tem_y[idx].tolist() + idx_tmp = idx_tmp[idx].tolist() + del tem_X, tem_y, rndsed, prng + gc.collect() + # return deepcopy(wX), deepcopy(wy), deepcopy(idx) + return wX, wy, idx_tmp # wX, wy, idx + + +def BaggingEnsembleAlgorithm(X_trn, y_trn, name_cls, nb_cls): + clfs, indices = [], [] # initial + for _ in range(nb_cls): # _:k + wX, wy, idx = _BaggingSelectTraining(X_trn, y_trn) + # if len(np.unique(wy)) == 1: + # wX, wy, idx = BaggingSelectTraining(X_trn, y_trn) + indices.append(idx) # deepcopy(idx)) + clf = individual(name_cls, wX, wy) # name_cls.fit(wX, wy) + clfs.append(deepcopy(clf)) + del wX, wy, clf + gc.collect() + coef = [1. / nb_cls] * nb_cls # np.array(coef, dtype=DTY_FLT) + # return deepcopy(coef), deepcopy(clfs), deepcopy(indices) + return coef, clfs, indices + + +# def BaggingEnsembleParallel(X_trn, y_trn, name_cls, nb_cls, cores): +# pool = pp.ProcessingPool(nodes = cores) +# wXy = pool.map(BaggingSelectTraining, [X_trn]*nb_cls, [y_trn]*nb_cls) +# wX, wy, ti = zip(*wXy) # list, [[..] nb_cls] +# clfs = pool.map(individual, [name_cls]*nb_cls, wX, wy) +# coef = [1./nb_cls] * nb_cls # np.ones(nb_cls) / nb_cls +# del pool, wXy, wX, wy +# gc.collect() +# return deepcopy(coef), deepcopy(clfs), deepcopy(ti) + + +# ---------------------------------- +# Ensemble: AdaBoost +# ---------------------------------- +# return: list +# works for multi-class + + +def _resample(X, y, w): + # assert len(y) == len(w) + cw = np.cumsum(w).tolist() + rndsed, prng = random_seed_generator() + + idx, dY = [], len(y) + value = prng.rand(dY).tolist() + for k in range(dY): # len(y) + if value[k] <= cw[0]: + idx.append(0) + continue + for j in range(1, dY): # len(cw) + if (value[k] > cw[j - 1]) and (value[k] <= cw[j]): + idx.append(j) + break + # # # # # + + if len(idx) == 0: + idx.append(prng.randint(dY)) # len(w) + X = np.array(X, dtype=DTY_FLT) + y = np.array(y, dtype=DTY_INT) + wX = X[idx].tolist() + wy = y[idx].tolist() + del cw, value, X, y, rndsed, prng + gc.collect() + # return deepcopy(wX), deepcopy(wy), deepcopy(idx) + return wX, wy, idx + + +def _AdaBoostSelectTraining(X_trn, y_trn, weight): + X_trn = np.array(X_trn, dtype=DTY_FLT) + y_trn = np.array(y_trn, dtype=DTY_INT) + weight = np.array(weight, dtype=DTY_FLT) + vY = np.unique(y_trn) + dY = len(vY) + stack_X, stack_y, stack_idx = [], [], [] # init + + for k in range(dY): + idx = (y_trn == vY[k]) + tem_X = X_trn[idx].tolist() + tem_y = y_trn[idx].tolist() + tem_w = weight[idx] + tem_w /= check_zero(np.sum(tem_w)) + tem_w = tem_w.tolist() + wX, wy, tem_idx = _resample(tem_X, tem_y, tem_w) + + idx_tmp = np.where(idx)[0] + idx_tmp = idx_tmp[tem_idx] + stack_X.append(wX) # deepcopy(wX)) + stack_y.append(wy) # deepcopy(wy)) + # stack_idx.append(tem_idx) # deepcopy(tem_idx)) + stack_idx.append(idx_tmp) + del idx, tem_X, tem_y, tem_w, wX, wy + del vY, dY + + tem_X = np.concatenate(stack_X, axis=0) + tem_y = np.concatenate(stack_y, axis=0) + tem_idx = np.concatenate(stack_idx, axis=0) + + # rndsed, prng = renew_random_seed_generator() + rndsed, prng = random_seed_generator() + # rndsed = renew_fixed_tseed() + # prng = renew_random_seed(rndsed) + + idx = list(range(len(tem_y))) + prng.shuffle(idx) + wX = tem_X[idx].tolist() + wy = tem_y[idx].tolist() + + tem_idx = tem_idx[idx].tolist() + if len(wX) <= 2: + sw = np.argsort(weight)[:: -1] + sw = sw[: (3 - len(wX))] # why is 3? + for si in sw: + wX.append(X_trn[si]) + wy.append(y_trn[si]) + tem_idx.append(int(si)) + del sw, si + # end if for robustness + del X_trn, y_trn, weight, rndsed, prng + del stack_X, stack_y, stack_idx, tem_X, tem_y # ,tem_idx + gc.collect() + # return deepcopy(wX), deepcopy(wy), deepcopy(idx) + return wX, wy, tem_idx # return wX, wy, idx + + +# Discarded: +# DeprecationWarning: only works for mathcal{Y} \in \{0,1\} +# +def AdaBoostEnsembleAlgorithm(X_trn, y_trn, name_cls, nb_cls): + # Y\in {0,1} # y_trn=[i*2-1 for i in y_trn] # translation needed + # Notice alpha here is relevant to this algorithm named AdaBoost. + clfs, nb_trn = [], len(y_trn) # initial + weight = np.zeros((nb_cls, nb_trn), dtype=DTY_FLT) # 'float') + em = [0.0] * nb_cls + alpha = [0.0] * nb_cls + indices = [] + + weight[0] = np.ones(nb_trn, dtype=DTY_FLT) / nb_trn + for k in range(nb_cls): + nb_count = 20 + while nb_count >= 0: + # resample data: route wheel bat + wX, wy, idx = _AdaBoostSelectTraining( + X_trn, y_trn, weight[k].tolist()) + # train a base classifier and run it on ORIGINAL training + clf = individual(name_cls, wX, wy) # name_cls.fit(wX, wy) + inspect = clf.predict(X_trn) + # calculate the error rate + i_tr = (inspect != np.array(y_trn)) # i_tr = (inspect != y_trn) + em[k] = np.sum(weight[k] * i_tr) + if (em[k] >= 0.) and (em[k] < 0.5): + break # em[ak] < 0.5 + nb_count -= 1 + del wX, wy + # 21 times is the maximum running number + indices.append(deepcopy(idx)) + del nb_count + + clfs.append(deepcopy(clf)) + # calculate alpha + alpha[k] = 0.5 * np.log2( + check_zero((1. - em[k]) / check_zero(em[k]))) + # update weights. + # Notice that: y \in {-1,+1} here, transform from {0,1} + i_tr = (np.array(y_trn) * 2 - 1) * (inspect * 2 - 1) + if (k + 1) < nb_cls: + weight[k + 1] = weight[k] * np.exp(-1. * alpha[k] * i_tr) + zm = np.sum(weight[k + 1]) + weight[k + 1] /= check_zero(zm) + # regularization: alpha, sigma(coef)=1. + am = np.sum(alpha) + alpha = [float(i / am) for i in alpha] + del weight, em, clf, i_tr, zm, am + gc.collect() + # return deepcopy(alpha), deepcopy(clfs), deepcopy(indices) + return alpha, clfs, indices + + +# ---------------------------------- +# AdaBoost \citep{zhou2012ensemble} pp.25 +# with my modification to make it work for multi-class +# ---------------------------------- +# Multiclass Extension \citep{zhou2012ensemble} pp.38-39 +# The LPBoost algorithm (and others) +# +# AdaBoost.M1 [Freund and Schapire, 1997] is a very straightforward extension +# alpha_t = \frac{1}{2} \ln( (1-\epsilon_t)/\epsilon_t ) +# the same as Figure 2.2 except that +# the base learners now are multiclass learners instead of binary classifiers. +# SAMME [Zhu et al., 2006] is an improvement over AdaBoost.M1, which replace +# line 6 of AdaBoost.M1 in Figure 2.2 by +# alpha_t = \frac{1}{2} \ln( (1-\epsilon_t)/\epsilon_t ) + \ln(|\mathcal{Y}| -1) +# AdaBoost.MH [Schapire and Singer, 1999] +# AdaBoost.M2 [Freund and Schapire, 1997], later generalized as AdaBoost.MR +# AdaBoost.MR [Schapire and Singer, 1999] +# + + +def BoostingEnsemble_multiclass(X_trn, y_trn, name_cls, nb_cls, + name_ens='AdaBoostM1'): + assert name_ens in ['AdaBoostM1', 'SAMME'] + _, dY = judge_transform_need(y_trn) # _:vY + if dY == 1: + dY = 2 # \mathcal{Y} = \{-1,+1\} + + clfs, nb_trn = [], len(y_trn) # init started + weight = np.zeros((nb_cls, nb_trn), dtype=DTY_FLT) + em, alpha, indices = [0.] * nb_cls, [0.] * nb_cls, [] + # Initialize the weight distribution # $\mathcal{D}_0$ + weight[0] = np.ones(nb_trn, dtype=DTY_FLT) / nb_trn + for k in range(nb_cls): + nb_cnt = 20 + while nb_cnt >= 0: + # Train a classifier $h_t$ from $D$ under distribution + # $\mathcal{D}_k$ + wX, wy, idx = _AdaBoostSelectTraining( + X_trn, y_trn, weight[k].tolist()) + clf = individual(name_cls, wX, wy) # name_cls.fit(wX, wy) + # Evaluate the error of $h_t$ + inspect = clf.predict(X_trn) + i_tr = np.not_equal(inspect, y_trn) # inspect != y_trn + em[k] = np.sum(weight[k] * i_tr) + # If $\epsilon_t > 0.5$, the break + # if (em[k] >= 0.) and (em[k] <= 0.5): + # break + if 0. <= em[k] <= 0.5: + break + + nb_cnt -= 1 + del wX, wy + # 21 is the maximum number of running times + indices.append(deepcopy(idx)) + del nb_cnt + clfs.append(deepcopy(clf)) + # Determine the weight of $h_t$ + alpha[k] = 0.5 * np.log(check_zero( + (1. - em[k]) / check_zero(em[k]))) + if name_ens == 'SAMME': + alpha[k] += np.log(dY - 1) + # if np.isnan(alpha[k]): + # alpha[k] = 0. # for robustness + alpha[k] = float(np.nan_to_num(alpha[k])) + + # Update the distribution, where Z_t is a normalization factor + i_tr = np.equal(inspect, y_trn) * 2 - 1 + if (k + 1) < nb_cls: + weight[k + 1] = weight[k] * np.exp(-1. * alpha[k] * i_tr) + zm = np.sum(weight[k + 1]) + weight[k + 1] /= check_zero(zm) + # Z_t which enables $\mathcal{D}_{t+1}$ to be a distribution + am = check_zero(np.sum(alpha)) + alpha = [float(i / am) for i in alpha] + del weight, em, clf, i_tr, zm, am + gc.collect() + return deepcopy(alpha), deepcopy(clfs), deepcopy(indices) + # return alpha, clfs, indices + + +# ============================================ +# Obtain ensemble, for multi classification +# Discard Algorithms Update +# ============================================ +# +# for incremental/online learning +# from sklearn import linear_model # Perceptron, SGDClassifier, +# # PassiveAggressiveClassifier +# from sklearn import neural_network # MLPClassifier +# + +# ''' +# Classification +# sklearn.naive_bayes.MultinomialNB +# sklearn.naive_bayes.BernoulliNB +# sklearn.linear_model.Perceptron +# sklearn.linear_model.SGDClassifier +# sklearn.linear_model.PassiveAggressiveClassifier +# sklearn.neural_network.MLPClassifier +# Regression +# sklearn.linear_model.SGDRegressor +# sklearn.linear_model.PassiveAggressiveRegressor +# sklearn.neural_network.MLPRegressor +# Clustering +# sklearn.cluster.MiniBatchKMeans +# sklearn.cluster.Birch +# Decomposition / feature Extraction +# sklearn.decomposition.MiniBatchDictionaryLearning +# sklearn.decomposition.IncrementalPCA +# sklearn.decomposition.LatentDirichletAllocation +# Preprocessing +# sklearn.preprocessing.StandardScaler +# sklearn.preprocessing.MinMaxScaler +# sklearn.preprocessing.MaxAbsScaler +# ''' + + +# ---------------------------------- +# Acquisition of ``coef, clfs'' +# ---------------------------------- +# name_ens = name_alg + + +def EnsembleAlgorithm(name_ens, name_cls, nb_cls, X_trn, y_trn): + if name_ens == "Bagging": + coef, clfs, indices = BaggingEnsembleAlgorithm( + X_trn, y_trn, name_cls, nb_cls) + elif name_ens in ["AdaBoostM1", "SAMME"]: + coef, clfs, indices = BoostingEnsemble_multiclass( + X_trn, y_trn, name_cls, nb_cls, name_ens=name_ens) + elif name_ens == "AdaBoost": # only works for Y \in {0,1} + coef, clfs, indices = AdaBoostEnsembleAlgorithm( + X_trn, y_trn, name_cls, nb_cls) + else: + raise ValueError( + "Error occurred in `data_classify.py`." # proper + "Please select an appropriate ensemble method.") + # coef, clfs: shape = (1, nb_cls) + # return deepcopy( # coef.copy() + return coef, clfs, indices + + +# """ +# # calculate accuracies of base/weak/individual classifiers +# # option: or +# # CalcBaseAccuracies(clfs, X_tst, y_tst) +# # CalcBaseAccuracies(clfs, X_trn, y_trn) +# +# def CalcBaseAccuracies(clfs, X, y): +# y = np.array(y) +# yt = [clf.predict(X).tolist() for clf in clfs] +# accpl = [np.mean(np.array(t) == y) for t in yt] +# del yt, y +# gc.collect() +# return deepcopy(accpl) # list +# +# +# # only works for binary and Y \in {0,1} +# # option: or +# # CalcPerformAccuracy(coef, clfs, X_tst, y_tst) +# # CalcPerformAccuracy(coef, clfs, X_trn, y_trn) +# +# def CalcPerformAccuracy(coef, clfs, X, y): +# coef = np.transpose([coef]) # np.array(np.mat(coef).T) +# yt = [clf.predict(X).tolist() for clf in clfs] +# y = np.array(y) * 2 - 1 +# yt = np.array(yt) * 2 - 1 +# fcode = np.sum(yt * coef, axis=0) +# fcode = np.sign(fcode) +# # # +# tie = list(map(np.sum, [fcode == 0, fcode == 1, fcode == -1])) +# if tie[1] > tie[2]: +# fcode[fcode == 0] = 1 +# else: +# fcode[fcode == 0] = -1 +# # endif there is a tie (>=) +# del tie +# # # +# accsg = np.mean(fcode == y) # singular +# del coef, yt, y, fcode +# gc.collect() +# return accsg +# """ + + +# ---------------------------------- +# Acquisition of ``y_insp, y_pred'' +# ---------------------------------- + + +# only works for binary and Y \in {0,1} +# option: or +# calc_acc_sing_and_pl(y_trn, y_insp, coef) +# calc_acc_sing_and_pl(y_tst, y_pred, coef) + +def calc_acc_sing_pl_and_pr(y, yt, coef): + accpl = [np.mean( + np.equal(t, y)).tolist() for t in yt] + coef = np.array([coef]).transpose() + + if 0 in y and 1 in y: + y = np.array(y) * 2 - 1 + yt = np.array(yt) * 2 - 1 + elif -1 in y and 1 in y: + y = np.array(y) + yt = np.array(yt) + + fcode = np.sum(yt * coef, axis=0) + fcode = np.sign(fcode) + + tie = list(map(np.sum, [ + fcode == 0, fcode == 1, fcode == -1])) + if tie[1] > tie[2]: + fcode[fcode == 0] = 1 + else: + fcode[fcode == 0] = -1 + del tie + # endif there is a tie (>=) + + accsg = np.mean(fcode == y).tolist() # singular + del coef, yt, y # ,fcode + accpr = np.mean(accsg >= np.array(accpl)) + gc.collect() + return deepcopy(accpl), accsg, accpr, fcode + # return accpl, accsg, float(accpr), fcode + + +def original_ensemble_from_train_set(name_ens, name_cls, nb_cls, + X_trn, y_trn, X_val, X_tst): + if name_ens == "Bagging": + coef, clfs, idx = BaggingEnsembleAlgorithm( + X_trn, y_trn, name_cls, nb_cls) + elif name_ens in ["AdaBoostM1", "SAMME"]: + coef, clfs, idx = BoostingEnsemble_multiclass( + X_trn, y_trn, name_cls, nb_cls, name_ens=name_ens) + elif name_ens == "AdaBoost": + coef, clfs, idx = AdaBoostEnsembleAlgorithm( + X_trn, y_trn, name_cls, nb_cls) + else: + raise ValueError( + "Error occurred in `data_classify.py`!" + "Please select a proper ensemble method.") + + # coef, clfs: shape = (1, nb_cls) + y_insp = [t.predict(X_trn).tolist() for t in clfs] + y_pred = [t.predict(X_tst).tolist() for t in clfs] + y_cast = [] if not X_val else [ + t.predict(X_val).tolist() for t in clfs] + + # return deepcopy( + return y_insp, y_cast, y_pred, coef, clfs, idx + + +# ============================================ +# Valuation Codes +# ---------------------------------- + + +# ---------------------------------------- +# obtain ensemble +# ---------------------------------------- + +def achieve_ensemble_from_train_set(name_ens, abbr_cls, nb_cls, + X_trn, y_trn, X_val, X_tst): + since = time.time() + name_cls = INDIVIDUALS[abbr_cls] + + coef, clfs, indices = EnsembleAlgorithm( + name_ens, name_cls, nb_cls, X_trn, y_trn) + y_insp = [j.predict(X_trn).tolist() for j in clfs] # inspect + y_pred = [j.predict(X_tst).tolist() for j in clfs] # predict + y_cast = [j.predict( + X_val).tolist() for j in clfs] if len(X_val) > 0 else [] + + tim_elapsed = time.time() - since + space_cost__ = asizeof(clfs) + asizeof(coef) + + return deepcopy(coef), clfs, indices, y_insp, y_cast, y_pred, \ + tim_elapsed, space_cost__ diff --git a/pyfair/marble/data_distance.py b/pyfair/marble/data_distance.py new file mode 100644 index 0000000..6ad290f --- /dev/null +++ b/pyfair/marble/data_distance.py @@ -0,0 +1,186 @@ +# coding: utf-8 +# metric_dist.py +# Author: Yijun + + +import pandas as pd +import numpy as np +import scipy.stats as stats +import scipy.optimize as optim +# import cv2 + +from copy import deepcopy +from pyfair.facil.utils_const import check_zero, non_negative +# from hfm.utils.verifiers import check_zero, non_negative + + +# ======================================= +# 推土机距离 +# ======================================= +# + +# KL散度/相对熵/KL距离，不对称 +# 取值范围 [0, +\infty) +def KL_divergence(p, q): + return stats.entropy(p, q) + + +# JS散度基于KL散度，对称 +# 同样是二者越相似，JS散度越小。 +# 取值范围在0-1之间，完全相同时为0 +def JS_divergence(p, q): + m = np.add(p, q) / 2 + tmp_a = stats.entropy(p, m) + tmp_b = stats.entropy(q, m) + tmp = 0.5 * tmp_a + 0.5 * tmp_b + return float(tmp) + + +# KL-divergence 的坏处在于它是无界的。事实上KL-divergence 属于 +# 更广泛的 f-divergence 中的一种。 +# 如果P和Q被定义成空间中的两个概率分布，则f散度被定义为 + +def _f_div(t): + t = check_zero(t) + return t * np.log(t) + + +def f_divergence(p, q): + # i.e., scipy.stats.entropy(p, q) + # return np.sum(q * _f_div(p / q)) + + ans = 0. + for i, j in zip(p, q): + # ''' + # tmp = check_zero(j) + # tmp = check_zero(i / tmp) + # # tmp = check_zero(i / j) + # ''' + tmp = i / check_zero(j) + ans += j * _f_div(tmp) + return float(ans) + + +def Hellinger_dist_v1(p, q): + tmp = np.sqrt(p) - np.sqrt(q) + tmp = np.linalg.norm(tmp) + tmp = tmp / np.sqrt(2) + return float(tmp) + + +def Hellinger_dist_v2(p, q): + # return np.sqrt(1 - np.sum(np.sqrt(p * q))) + + ans = _BC_dis(p, q) + tmp = non_negative(1. - ans) + tmp = np.sqrt(tmp) + return float(tmp) + + +# 巴氏距离（Bhattacharyya Distance） +# 测量两个离散或连续概率分布的相似性 + +def _BC_dis(p, q): + ans = 0. + for i, j in zip(p, q): + ans += np.sqrt(i * j) + return float(ans) + + +def Bhattacharyya_dist(p, q): + ans = _BC_dis(p, q) + tmp = non_negative(ans) + tmp = -np.log(tmp) + return float(tmp) + + +# MMD距离（Maximum mean discrepancy) +# 最大均值差异（Maximum mean discrepancy） +# 度量在再生希尔伯特空间中两个分布的距离，是一种核学习方法 + + +# Wasserstein 距离，也叫Earth Mover's Distance，推土机距离，简称EMD，用来表示两个分布的相似程度。 + +def Wasserstein_distance(p, q, D): + # 通过线性规划求Wasserstein距离 + # p.shape: (m,) p.sum()=1 p\in[0,1] + # q.shape: (n,) q.sum()=1 q\in[0,1] + # D.shape: (m, n) + A_eq = [] + for i in range(len(p)): + A = np.zeros_like(D) + A[i, :] = 1 + A_eq.append(A.reshape(-1)) + for i in range(len(q)): + A = np.zeros_like(D) + A[:, i] = 1 + A_eq.append(A.reshape(-1)) + A_eq = np.array(A_eq) + b_eq = np.concatenate([p, q]) + # D = D.reshape(-1) + # result = optim.linprog(D, A_eq=A_eq[:-1], b_eq=b_eq[:-1]) + # return result.fun + d_tmp = np.reshape(D, -1) # np.reshape(D, [?,-1]) + res = optim.linprog(d_tmp, A_eq=A_eq[:-1], b_eq=b_eq[:-1]) + return res.fun + + +def Wasserstein_dis(P, Q, D=None): + return stats.wasserstein_distance(P, Q) + + +# ======================================= +# SG +# ======================================= + + +def _discrete_bar_counts(indexes, density=True): + # input: np.ndarray + # print("indexes:", indexes) + idx_tmp = deepcopy(indexes) + if len(np.shape(idx_tmp)) > 1: + # idx_tmp = idx_tmp.reshape(-1) + idx_tmp = np.reshape(idx_tmp, -1) + mn, mx = min(idx_tmp), max(idx_tmp) + opt_y = list(range(mn, mx + 1)) # freq_x + freq_y = [0] * (mx + 1 - mn) + for i in idx_tmp: + freq_y[i - mn] += 1 + sm = len(idx_tmp) + assert sum(freq_y) == sm + if density: + freq_y = [float(i) / sm for i in freq_y] + return opt_y, freq_y # return freq_x,freq_y + + +def _discrete_joint_cnts(X, Y, density=True, v=None): + if v is None: + mn = min(np.min(X), np.min(Y)) + mx = max(np.max(X), np.max(Y)) + v = list(range(mn, mx + 1)) + else: + mn, mx = v[0], v[-1] + px = [0] * (mx + 1 - mn) + py = [0] * (mx + 1 - mn) + for i in X: + px[i - mn] += 1 + for i in Y: + py[i - mn] += 1 + # assert len(X) == sum(px) + # assert len(Y) == sum(py) + if density: + sx, sy = len(X), len(Y) + px = [float(i) / sx for i in px] + py = [float(i) / sy for i in py] + return px, py, v + + +def JS_div(arr1, arr2, num_bins=368): + max0 = max(np.max(arr1), np.max(arr2)) + min0 = min(np.min(arr1), np.min(arr2)) + # bins = np.linspace(min0 - 1e-4, max0 - 1e-4, num=num_bins) + bins = np.linspace( + min0 - 1e-4, max0 + 1e-4, num=num_bins + 1) + PDF1 = pd.cut(arr1, bins).value_counts() / len(arr1) + PDF2 = pd.cut(arr2, bins).value_counts() / len(arr2) + return JS_divergence(PDF1.values, PDF2.values) diff --git a/pyfair/marble/data_entropy.py b/pyfair/marble/data_entropy.py new file mode 100644 index 0000000..f58dfcb --- /dev/null +++ b/pyfair/marble/data_entropy.py @@ -0,0 +1,457 @@ +# coding: utf-8 +# +# Target: +# Some calculation of entropy (existing methods) +# + + +from copy import deepcopy +import gc + +import numpy as np +from pathos import multiprocessing as pp + +from pyfair.facil.utils_const import ( + DTY_FLT, DTY_INT, check_zero, random_seed_generator) +gc.enable() + + +# ======================================= +# previously on ``distributed.py'' +# ======================================= + + +# +# ----------- Convert data ----------- +# +# Input : list +# Output: list, not np.ndarray +# + + +# minimum description length +# +def binsMDL(data, nb_bin=5): # bins5MDL + # Let `U' be a set of size `d' of labelled instances + # accompanied by a large set of features `N' with + # cardinality `n', represented in a `dxn' matrix. + + data = np.array(data, dtype=DTY_FLT) + d = data.shape[0] # number of samples + n = data.shape[1] # number of features + + for j in range(n): # By Feature + fmin = np.min(data[:, j]) + fmax = np.max(data[:, j]) + fgap = (fmax - fmin) / nb_bin + trans = data[:, j] + + idx = (data[:, j] == fmin) + trans[idx] = 0 + pleft = fmin + pright = fmin + fgap + + for i in range(nb_bin): + idx = ((data[:, j] > pleft) & (data[:, j] <= pright)) + trans[idx] = i + pleft += fgap + pright += fgap + + data[:, j] = deepcopy(trans) # trans.copy() + del fmin, fmax, fgap, trans, pleft, pright, idx + data = np.array(data, dtype=DTY_INT) + del d, n # , i, j + gc.collect() + # return data.copy() # np.ndarray + return data.tolist() # list + + +# +# ----------- Probability of Discrete Variable ----------- +# + + +# probability of one vector +# +def prob(X): + X = np.array(X) + vX = np.unique(X).tolist() + dX = len(vX) + + px = np.zeros(dX) + for i in range(dX): + px[i] = np.mean(X == vX[i]) + px = px.tolist() + + # BUG! no i if X == [] + # i = None + del X, dX, i + # gc.collect() + return deepcopy(px), deepcopy(vX) # list + + +# joint probability of two vectors +# +def jointProb(X, Y): + X = np.array(X) + Y = np.array(Y) + vX = np.unique(X).tolist() + vY = np.unique(Y).tolist() + dX = len(vX) + dY = len(vY) + + pxy = np.zeros((dX, dY)) + for i in range(dX): + for j in range(dY): + pxy[i, j] = np.mean((X == vX[i]) & (Y == vY[j])) + pxy = pxy.tolist() + + # i = j = None + del dX, dY, X, Y, i, j + # gc.collect() + return deepcopy(pxy), deepcopy(vX), deepcopy(vY) # list + + +# +# ----------- Shannon Entropy ----------- +# +# calculate values of entropy +# H(.) is the entropy function and +# p(.,.) is the joint probability +# + + +# for a scalar value +# +def H(p): + if p == 0.: + return 0. + # return (-1.) * p * np.log2(p) + return -p * np.log2(p) + + +# H(X), H(Y): for one vector +# +def H1(X): + px, _ = prob(X) + ans = 0. + for i in px: + ans += H(i) + # i = None + del px, i + return ans + + +# H(X, Y): for two vectors +# +def H2(X, Y): + pxy, _, _ = jointProb(X, Y) + ans = 0. + for i in pxy: + for j in i: + ans += H(j) + # i = j = None + del pxy, i, j + return ans + + +# ---------------------------------- + + +# ======================================= +# Inspired by zadeh2017diversity +# ======================================= + + +# I(.;.) is the mutual information function +# I(X; Y) +# +def I(X, Y): + if (X == []) or (Y == []): + return 0.0 + # # + px, _ = prob(X) + py, _ = prob(Y) + pxy, _, _ = jointProb(X, Y) + dX, dY = len(px), len(py) + ans = 0. + for i in range(dX): + for j in range(dY): + if pxy[i][j] == 0.: + ans += 0. + else: + ans += pxy[i][j] * np.log2(pxy[i][j] / px[i] / py[j]) + # ? 若 px[i]是0, pxy[i,..] 一定是0；反之则未必？ + # i = j = None + del px, py, pxy, dX, dY, i, j + return ans + + +# MI(X, Y): +# The normalized mutual information of two discrete +# random variables X and Y +# +def MI(X, Y): + # return I(X, Y) / np.sqrt(H1(X) * H1(Y)) + tem = np.sqrt(H1(X) * H1(Y)) + return I(X, Y) / check_zero(tem) + + +# VI(X, Y): +# The normalized variation of information of two discrete +# random variables X and Y +# +def VI(X, Y): + # return 1. - I(X, Y) / np.max([H2(X, Y), 1e-18]) + return 1. - I(X, Y) / check_zero(H2(X, Y)) + + +# For two feature vectors like p and q, and the class label vector L, +# define DIST(p,q) as follows: +# +def DIST(X, Y, L, lam): # lambda + if X == Y: # list + return 0. + tem = (MI(X, L) + MI(Y, L)) / 2. + return lam * VI(X, Y) + (1. - lam) * tem + + +# +# S \subset or \subseteq N, N is the set of all features and |S|=k. +# We want to maximize the following objective function (as the +# objective of diversity maximization problem) +# for `S` \subset `N` and |S|=k + + +def DIV1(S, L, lam): + S = np.array(S) + k = S.shape[1] + # ''' + # ans = 0. + # for i in range(k): + # for j in range(k): + # ans += DIST(S[:, i].tolist(), S[:, j].tolist(), L, lam) + # ans /= 2. + # ''' + ans = [[DIST(S[:, i].tolist(), S[:, j].tolist(), L, lam) + for j in range(k)] for i in range(k)] + ans = np.sum(ans) / 2. + del S, k + return ans + + +def DIV2(S, L, lam): + S = np.array(S) + k = S.shape[1] + # ''' + # ans1, ans2 = 0., 0. + # for i in range(k): + # for j in range(k): + # ans1 += VI(S[:, i].tolist(), S[:, j].tolist()) + # ans1 *= lam/2. + # for i in range(k): + # ans2 += MI(S[:, i].tolist(), L) + # ans2 *= (1.-lam)*(k-1.)/2. + # ans = ans1 + ans2 + # ''' + ans1 = [[VI(S[:, i].tolist(), S[:, j].tolist()) + for j in range(k)] for i in range(k)] + ans1 = np.sum(ans1) + ans2 = [MI(S[:, i].tolist(), L) for i in range(k)] + ans2 = np.sum(ans2) + ans = ans1 * lam / 2. + ans2 * (1. - lam) * (k - 1.) / 2. + del S, k, ans1, ans2 + return ans + + +# ---------------------------------- +# DDisMI v.s. Greedy +# ---------------------------------- + + +# ----------- Algorithm Greedy ----------- +# +# T: set of points/features +# k: number of selected features +# + + +def _dist_sum(p, S, L, lam): + S = np.array(S) + n = S.shape[1] + ans = 0. + for i in range(n): + ans += DIST(p, S[:, i].tolist(), L, lam) + del S, n, i + return ans + + +# T is the set of points/features; +# S = [True,False] represents this one is in S or not, +# and S is selected features. +# +def _arg_max_p(T, S, L, lam): + T = np.array(T) + S = np.array(S) + + all_q_in_S = T[:, S].tolist() + idx_p_not_S = np.where(np.logical_not(S))[0] # np.where(S == False)[0] + if len(idx_p_not_S) == 0: + del T, S, all_q_in_S, idx_p_not_S + return -1 # idx = -1 + + ans = [_dist_sum(T[:, i].tolist(), all_q_in_S, L, lam) + for i in idx_p_not_S] + idx_p = ans.index(np.max(ans)) + idx = idx_p_not_S[idx_p] + + del T, S, all_q_in_S, idx_p_not_S, idx_p, ans + return idx # np.int64 + + +# T: set of points/features +# k: number of selected features +# +def Greedy(T, k, L, lam): + T = np.array(T) + n = T.shape[1] + S = np.zeros(n, dtype='bool') # np.bool + p = np.random.randint(0, n) + S[p] = True + for _ in range(1, k): # for i in range(1,k): + idx = _arg_max_p(T, S, L, lam) + if idx > -1: + S[idx] = True # #1 + S = S.tolist() + del T, n, p + return deepcopy(S) # list + + +# ----------- Algorithm DDisMI ----------- +# previously on ``thin_entropy.py'' +# import distributed as db +# +# N: set of features (d samples, n features, dxn matrix) +# k: number of selected features +# m: number of machines +# + + +def _choose_proper_platform(nb, pr): + m = int(np.round(np.sqrt(1. / pr))) + k = np.max([int(np.round(nb * pr)), 1]) + while k * m >= nb: + m = np.max([m - 1, 1]) + if m == 1: + break + # m = np.max([m, 2]) + return k, m + + +def _randomly_partition(n, m): + _, prng = random_seed_generator('fixed_tseed') # rndsed, + # rndsed = renew_fixed_tseed() + # prng = renew_random_seed(rndsed) + + tem = np.arange(n) + prng.shuffle(tem) + # idx = np.zeros(n, dtype=np.int8)-1 # init # np.ones(n)-2 + idx = np.zeros(n, dtype=DTY_INT) # initial + + if n % m != 0: + # 底和顶 floors and ceilings + floors = int(np.floor(n / float(m))) + ceilings = int(np.ceil(n / float(m))) + # 模：二元运算 modulus and mumble 含糊说话 + modulus = n - m * floors + mumble = m * ceilings - n + # mod: n % m + + for k in range(modulus): + ij = tem[(k * ceilings): ((k + 1) * ceilings)] + idx[ij] = k + ijt = ceilings * modulus # as follows: + # range(modulus, modulus+mumble) # m = modulus+mumble + for k in range(mumble): + ij = tem[(k * floors + ijt): ((k + 1) * floors + ijt)] + idx[ij] = k + modulus + + del floors, ceilings, modulus, mumble, k, ij, ijt + else: + ijt = int(n / m) + for k in range(m): + ij = tem[(k * ijt): ((k + 1) * ijt)] + idx[ij] = k + del ijt, ij, k + + # idx = idx.tolist() + # return deepcopy(idx) + return idx.tolist() # list + + +# Group/Machine i-th +# +def _find_idx_in_sub(i, Tl, N, k, L, lam): + sub_idx_in_N = np.where(Tl == i)[0] # or np.argwhere(Tl == i).T[0] + sub_idx_greedy = Greedy(N[:, (Tl == i)].tolist(), k, L, lam) + sub_idx_greedy = np.where(sub_idx_greedy)[0] # or: + # sub_idx_greedy np.where(np.array(sub_idx_greedy) == True)[0] + ans = sub_idx_in_N[sub_idx_greedy] + del sub_idx_in_N, sub_idx_greedy + return deepcopy(ans) # np.ndarray + + +# def DDisMI_MultiPool(N, k, m, L, lam): +def DDisMI(N, k, m, L, lam): + N = np.array(N) + n = N.shape[1] + Tl = _randomly_partition(n = n, m = m) + Tl = np.array(Tl) + Sl = np.zeros(n, dtype=DTY_INT) - 1 # init + + # define lambda function + # concurrent selection + pool = pp.ProcessingPool(nodes = m) + sub_idx = pool.map(_find_idx_in_sub, list(range(m)), [Tl] * m, + [N] * m, [k] * m, [L] * m, [lam] * m) + del pool, Tl + + for i in range(m): + Sl[sub_idx[i]] = i + del sub_idx + sub_all_in_N = np.where(Sl != -1)[0] + sub_all_greedy = Greedy(N[:, (Sl != -1)].tolist(), k, L, lam) + sub_all_greedy = np.where(sub_all_greedy)[0] # or: + # sub_all_greedy = np.where(np.array(sub_all_greedy) == True) + + final_S = np.zeros(n, dtype='bool') + final_S[sub_all_in_N[sub_all_greedy]] = 1 # ?? check needed # checked + del sub_all_in_N, sub_all_greedy + + div_temS = DIV1(N[:, final_S].tolist(), L, lam) + div_Sl = [DIV1(N[:, (Sl == i)].tolist(), L, lam) for i in range(m)] + if np.sum(np.array(div_Sl) > div_temS) >= 1: + tem_argmax_l = div_Sl.index(np.max(div_Sl)) + final_S = (Sl == tem_argmax_l) + del tem_argmax_l + + del div_temS, div_Sl, N, n, m, Sl + final_S = final_S.tolist() + gc.collect() + return deepcopy(final_S) + + +# ---------------------------------- +# +# If you want to do ``Serial Execution'', just to do: +# S = Greedy(N, k, L, lam) +# + + +# ======================================= +# Inspired by margineantu1997pruning +# ======================================= +# +# KL distance between two probablity distributions p and q: +# KL_distance = scipy.stats.entropy(p, q) +# diff --git a/pyfair/marble/diver_nonpairwise.py b/pyfair/marble/diver_nonpairwise.py new file mode 100644 index 0000000..28042b2 --- /dev/null +++ b/pyfair/marble/diver_nonpairwise.py @@ -0,0 +1,299 @@ +# coding: utf-8 +# +# Target: +# Existing diversity measures in ensemble learning +# + + +import numpy as np + +from pyfair.facil.utils_const import ( + check_zero, judge_transform_need, DTY_FLT) + + +# ================================== +# General +# ================================== +# +# zhou2012ensemble : binary (multi: self defined) +# kuncheva2003diversity: multiclass +# + + +# ---------------------------------- +# Non-Pairwise Measures +# ---------------------------------- + + +def number_individuals_correctly(yt, y): + # rho_x = np.sum(yt == y, axis=0) # np.ndarray + # return rho_x.copy() # rho_x + rho_x = np.sum(np.equal(yt, y), axis=0) + return rho_x.tolist() + + +def number_individuals_fall_through(yt, y, nb_cls): + # failed # not failing down + failing = np.sum(np.not_equal(yt, y), axis=0) # yt!=y + # nb_cls = len(yt) # number of individual classifiers + pi = [] + for i in range(nb_cls + 1): + tem = np.mean(failing == i) # np.sum()/m + pi.append(float(tem)) + return pi + + +# ================================== +# Non-Pairwise Measures +# [multi-class classification] +# ================================== + +# m, nb_cls = len(y), len(yt) # number of instances / individuals +# + + +# ---------------------------------- +# Kohavi-Wolpert Variance +# the larger the kw value, the larger the diversity +# +# (1) KWVar = \frac{ 1 - \sum_{y\in\mathcal{Y}} \mathbf{P}(y|\mathbf{x})^2 }{2} +# (2) KWVar = \frac{1}{mn^2} \sum_{k=1}^m \rho(\mathbf{x}_k)(n - \rho(\mathbf{x}_k)) +# = \frac{1}{mn^2} \sum_{k=1}^m [-(\rho(\mathbf{x}) -n/2)^2 + n^2/4] +# because \rho(\mathbf{x}_k) \in [0, n] i.e., [0, T] +# then -(\rho(\mathbf{x}_k) -n/2)^2 + n^2/4 in [0, n^2/4] +# therefore KWVar \in [0, 1/4] +# + +def Kohavi_Wolpert_variance_multiclass(yt, y, m, nb_cls): + rho_x = number_individuals_correctly(yt, y) + numerator = np.multiply(rho_x, np.subtract(nb_cls, rho_x)) + denominat = nb_cls ** 2 * float(m) + return np.sum(numerator) / denominat + + +# KWVar = \frac{1}{mT^2} * \sum_{k\in[1,m]} -[\rho(x_k) - T/2]^2 + T^2/4 +# because of \rho(x_k) \in [0, T] +# then \sum_{k}-[]^2+T^2/4 \in [0, T^2/4] \times m +# thus KWVar \in [0, 1/4] +# + + +# ---------------------------------- +# Inter-rater agreement +# =1, totally agree; \leqslant 0, even less than what is expected by chance +# +# (1) numerator = \frac{1}{n} \sum_{k=1}^m \rho(x_k)(n - \rho(x_k)) +# (2) denominator = m(n-1) \bar{p}(1 - \bar{p}) +# where \bar{p} = \frac{1}{mn} \sum_{i=1}^n \sum_{k=1}^m \mathbb{I}(h_i(x_k) = y_k) +# (3) \kappa = 1 - \frac{numerator}{denominator} +# +# \rho(x_k)(n-\rho(x_k)) = -(\rho(x_k) - n/2)^2 + n^2/4 \in [0, n^2/4] +# \bar{p} = \frac{1}{mn} \sum_{k=1}^m \rho(x_k) \in [0,1] since \rho(x_k) \in [0,n] +# \bar{p}(1-\bar{p}) = -(\bar{p}-1/2)^2+1/4 \in [0, 1/4] +# denominator \in m(n-1) [0, 1/4] i.e., [0, m(n-1)/4] +# numerator \in m/n [0, n^2/4] i.e., [0, mn/4] +# \frac{numerator}{denominator} \in [0, +\infty) +# \kappa \in (-\infty, 1] +# + +def interrater_agreement_multiclass(yt, y, m, nb_cls): + rho_x = number_individuals_correctly(yt, y) + p_bar = np.sum(rho_x) / float(m * nb_cls) + numerator = np.multiply(rho_x, np.subtract(nb_cls, rho_x)) + numerator = np.sum(numerator) / float(nb_cls) + denominat = m * (nb_cls - 1.) * p_bar * (1. - p_bar) + return 1. - numerator / check_zero(denominat) + + +# Interrater agreement +# +# numerator \in \frac{1}{T} \times m \times [0, T^2/4] = \frac{m}{T} \times [0, T^2/4] +# \bar{p} \in \frac{1}{mT} [0, Tm] = [0, 1] +# \bar{p}{1-\bar{p}} = -[\bar{p} - 1/2]^2+1/4 \in [0, 1/4] +# denominator \in m(T-1) [0, 1/4] +# \frac{numerator}{denominator} = \frac{1}{m(T-1)} [0, T^2/4] / [0, 1/4] +# [0, +inf), [T^2, +inf) +# ~= \frac{1}{m(T-1)} [0, +inf) = [0, +inf) +# 1-\frac{numerator}{denominator} \in (-inf, 1] +# + + +# ---------------------------------- +# Entropy +# +# Ent_cc= \frac{1}{m}\sum_{k=1}^m \sum_{y\in\mathcal{Y}} +# -\mathbf{P}(y|x_k) \log(\mathbf{P(y|x_k)}) +# where \mathbf{P}(y|\mathbf{x}_k) = +# \frac{1}{n}\sum_{i=1}^n \mathbb{I}(h_i(\mathbf{x}) =y) +# +# the calculation doesn't require to know the correctness of individual classifiers. +# + +def Entropy_cc_multiclass(yt, y): + vY = np.concatenate([[y], yt]).reshape(-1) + vY, _ = judge_transform_need(vY) + ans = np.zeros_like(y, dtype=DTY_FLT) # 'float') + for i in vY: + P_y_xk = np.mean(np.equal(yt, i), axis=0) # np.sum(..)/nb_cls + tem = list(map(check_zero, P_y_xk)) + tem = -1. * P_y_xk * np.log(tem) + ans += tem + ans = np.mean(ans) # np.sum(..)/m + return float(ans) + + +# ---------------------------------- +# Entropy +# +# Ent_sk = \frac{1}{m}\sum_{k=1}^m \frac{ \min(\rho(x_k), n-\rho(x_k)) }{n-ceil(n/2)} +# \in [0, 1] +# the larger the value, the larger the diversity; =0, totally agree +# + +def Entropy_sk_multiclass(yt, y, nb_cls): + rho_x = number_individuals_correctly(yt, y) + sub_x = np.subtract(nb_cls, rho_x).tolist() + tmp = list(map(min, rho_x, sub_x)) + denominator = nb_cls - np.ceil(nb_cls / 2.) + ans = np.mean(tmp) / check_zero(denominator) + return float(ans) + + +# ---------------------------------- +# Entropy [works for multi-class classification] +# +# -p*np.log(p) \in [0, a], 0.35 < a < 0.4, if p\in (0, 1] +# -p*np.log(p)-(1-p)*np.log(1-p) \in [0, a], a<=0.7?, if p\in (0,1] and q=1-p +# Entropy_cc \in \frac{1}{m} m \times \sum_{multi values of p} -p * np.log(p) +# = \sum_{multi values of p} -p*np.log(p), and \sum_{values of p}p = 1 +# \in [0, 1] +# +# \rho(x_k) \in [0, T] T-\rho(x_k) \in [0, T] +# \min(\rho(x_k), T-\rho(x_k)) \in [0, T/2] +# Entropy_sk \in \frac{1}{m* floor(T/2)} m \times [0, T/2] +# = \frac{1}{floor(T/2)} [0, T/2] = \frac{1}{floor(T/2)} [0, floor(T/2)] +# \in [0, 1] +# + + +# ---------------------------------- +# Difficulty +# the smaller the theta value, the larger the diversity +# +# Uniform distribution x\sim [a,b] +# Expection E(x) = (a+b)/2 +# Variance D(x) = (b-a)^2/12 +# +# [0, 1] --> np.var(x) \in +# Note: this is not an uniform distribution. +# the number of x taking values may vary +# + +def difficulty_multiclass(yt, y): + X = np.mean(np.equal(yt, y), axis=0) + ans = np.var(X) + return float(ans) + + +# ---------------------------------- +# Generalized diversity +# \in [0, 1] +# the diversity is minimized when gd=0 +# the diversity is maximized when gd=1 +# +# gd = 1 - \frac{p(2)}{p(1)} +# p(2) = \sum_{i=1}^n \frac{i}{n} p_i +# p(1) = \sum_{i=1}^n \frac{i}{n} \frac{i-1}{n-1} p_i +# p_i \in [0,1], \forall\, i \in {0,1,2,...,n} +# \frac{i}{n} p_i \in [0,1] +# \frac{i}{n} \frac{i-1}{n-1} = \frac{ (i-1/2)^2-1/4 }{n(n-1)} \in [0,1] +# therefore, p(1) \in [0,n], p(2) \in [0,n], p(2)/p(1) \in [0,+\infty) +# gd = 1- p(2)/p(1) \in (-\infty, 1] +# + +def generalized_diversity_multiclass(yt, y, nb_cls): + pi = number_individuals_fall_through(yt, y, nb_cls) + p_1, p_2 = 0., 0. + for i in range(1, nb_cls + 1): + p_1 += pi[i] * i / float(nb_cls) + # p_2 += pi[i] * (i * (i - 1.) / nb_cls / (nb_cls - 1.)) + p_2 += pi[i] * (i * (i - 1.) / nb_cls / check_zero(nb_cls - 1.)) + return 1. - p_2 / check_zero(p_1) + + +# \frac{i-1}{T-1} \in [0, 1], due to i \in [1, T] +# \frac{i}{T} \in [1/T, 1], due to i \in [1, T] +# 0 <= \frac{i}{T} \frac{i-1}{T-1} <= \frac{i}{T} <= 1 +# p_i \in [0, 1], i = {0, 1, ..., T} +# p(2)/p(1) \in [0, 1], then gd \in [0, 1] +# + +def Generalized_Diversity_multi(yt, y, m, nb_cls): + failing = np.sum(np.not_equal(yt, y), axis=0) # yt!=y + pi = [-1.] + for i in range(1, nb_cls + 1): + tem = np.sum(failing == i) / float(m) + pi.append(float(tem)) + p_1, p_2 = 0., 0. + for i in range(1, nb_cls + 1): + p_1 += pi[i] * i / nb_cls + p_2 += pi[i] * (i * (i - 1.) / nb_cls / (nb_cls - 1.)) + return 1. - p_2 / check_zero(p_1) + + +# ---------------------------------- +# Coincident failure +# when all individuals are the same, cfd=0 +# when each one is different from each other, cfd=1 +# \in [0, 1] ? +# +# cfd =| 0 , if p_0 = 1 +# | \frac{1}{1-p_0} \sum_{i=1}^n \frac{n-i}{n-1} p_i +# + +def coincident_failure_multiclass(yt, y, nb_cls): + pi = number_individuals_fall_through(yt, y, nb_cls) + if pi[0] == 1.: + return 0. + if pi[0] < 1.: + ans = 0. + for i in range(1, nb_cls + 1): + # ans += pi[i] * (nb_cls - i) / (nb_cls - 1.) + ans += pi[i] * (nb_cls - i) / check_zero(nb_cls - 1.) + return ans / check_zero(1. - pi[0]) + return 0. + + +# ---------------------------------- + + +# ---------------------------------- +# Non-Pairwise Measure + + +def nonpairwise_measure_gather_multiclass( + name_div, yt, y, m, nb_cls): + if name_div == "KWVar": # "KWVariance": + ans = Kohavi_Wolpert_variance_multiclass(yt, y, m, nb_cls) + elif name_div == "Inter": # "Interrater": + ans = interrater_agreement_multiclass(yt, y, m, nb_cls) + elif name_div == "EntCC": # "EntropyCC": + ans = Entropy_cc_multiclass(yt, y) + elif name_div == "EntSK": # "EntropySK": + ans = Entropy_sk_multiclass(yt, y, nb_cls) + elif name_div == "Diffi": # "Difficulty": + ans = difficulty_multiclass(yt, y) + elif name_div == "GeneD": # "Generalized": + ans = generalized_diversity_multiclass(yt, y, nb_cls) + elif name_div == "CFail": # "CoinFailure": + ans = coincident_failure_multiclass(yt, y, nb_cls) + else: + raise ValueError("Non-Pairwise-Measure doesn't work for" + " `name_div` =", name_div) + return ans + + +def nonpairwise_measure_item_multiclass(name_div, ha, hb, y, m): + yt = [ha, hb] # yt = np.vstack([ha, hb]) # nb_cls = 2 + return nonpairwise_measure_gather_multiclass( + name_div, yt, y, m, 2) diff --git a/pyfair/marble/diver_pairwise.py b/pyfair/marble/diver_pairwise.py new file mode 100644 index 0000000..48e6a10 --- /dev/null +++ b/pyfair/marble/diver_pairwise.py @@ -0,0 +1,386 @@ +# coding: utf-8 +# +# Target: +# Existing diversity measures in ensemble learning +# + + +import numpy as np + +from pyfair.facil.utils_const import ( + check_zero, judge_transform_need, DTY_INT) +from pyfair.facil.metric_cont import ( + contingency_tab_bi, contg_tab_mu_type3, contg_tab_mu_type1) +from pyfair.facil.utils_remark import PAIRWISE + + +# ================================== +# General +# ================================== +# +# zhou2012ensemble : binary (multi: self defined) +# kuncheva2003diversity: multiclass +# + + +# ---------------------------------- +# Pairwise Measures +# ---------------------------------- +# ''' +# contingency_table_binary +# | | hi = +1 | hi = -1 | +# | hj = +1 | a | c | +# | hj = -1 | b | d | +# +# contingency_table_multi +# | | hb= c_0 | hb= c_1 | hb= c_{n_c-1} | +# | ha= c_0 | C_{00} | C_{01} | C_{0?} | +# | ha= c_1 | C_{10} | C_{11} | C_{1?} | +# | ha= c_{n_c-1} | C_{?0} | C_{?1} | C_{??} | +# +# contingency_table_multiclass +# | | hb == y | hb != y | +# | ha == y | a | c | +# | ha != y | b | d | +# ''' + + +def contingency_table_binary(hi, hj): # list + if len(hi) != len(hj): # number of instances/samples + raise AssertionError( + "These two individual classifiers have different shapes.") + if len(set(hi + hj)) > 2: + raise AssertionError("contingency_table works for binary" + " classification only.") + if -1 not in set(hi + hj): # [0,1], not [-1,1] + hi = [i * 2 - 1 for i in hi] + hj = [i * 2 - 1 for i in hj] + hi = np.array(hi, dtype=DTY_INT) # 'int') + hj = np.array(hj, dtype=DTY_INT) # 'int') + a, c, b, d = contingency_tab_bi(hi, hj, pos=1) + return a, b, c, d + + +def contingency_table_multi(hi, hj, y): + # dY = len(set(hi + hj + y)) + vY = sorted(set(hi + hj + y)) # list() + ha, hb = np.array(hi), np.array(hj) + # construct a contingency table + return contg_tab_mu_type3(ha, hb, vY) + + +def contingency_table_multiclass(ha, hb, y): + # construct a contingency table, Cij + ha, hb = np.array(ha), np.array(hb) + a, b, c, d = contg_tab_mu_type1(np.array(y), ha, hb) + return int(a), int(b), int(c), int(d) + + +# ================================== +# Pairwise Measures +# [multi-class classification] +# \citep{kuncheva2003diversity} +# ================================== + + +# ---------------------------------- +# $Q$-Statistic +# \in [-1, 1] +# different / independent (=0) / similar predictions +# +# Q_ij = zero if hi and hj are independend; +# Q_ij is positive if hi and hj make similar predictions +# Q_ij is negative if hi and hj make different predictions +# + +def Q_statistic_multiclass(ha, hb, y): + a, b, c, d = contingency_table_multiclass(ha, hb, y) + denominat = a * d + b * c # 分母, denominator + numerator = a * d - b * c # 分子, numerator + return numerator / check_zero(denominat) + + +def Q_Statistic_binary(hi, hj): + a, b, c, d = contingency_table_binary(hi, hj) + tem = a * d + b * c + return (a * d - b * c) / check_zero(tem) + + +# self defined: more research needed +def Q_Statistic_multi(hi, hj, y): + Cij = contingency_table_multi(hi, hj, y) + # Cij --> np.ndarray + # return: + # d c + # b a + # + # Cij = np.array(Cij) + # # axd = np.prod(np.diag(Cij)) # np.diagonal + mxn = np.shape(Cij)[0] # mxn = Cij.shape[0] + axd = [Cij[i][i] for i in range(mxn)] + bxc = [Cij[i][mxn - 1 - i] for i in range(mxn)] + axd = np.prod(axd) + bxc = np.prod(bxc) + return (axd - bxc) / check_zero(axd + bxc) + + +# ---------------------------------- +# $\kappa$-Statistic +# \in [-1, 1]? +# =1, totally agree; =0, agree by chance; +# <0, rare case, less than expected by chance +# +# \kappa_p = \frac{ \Theta_1 - \Theta_2 }{ 1 - \Theta_2 } +# \Theta_1 = \frac{a+d}{m} +# \Theta_2 = \frac{(a+b)(a+c) + (c+d)(b+d)}{m^2} +# \Theta_1 \in [0, 1] +# \Theta_2 \in [0, 1] +# \kappa_p \in [-1, 1] probably +# + +def kappa_statistic_multiclass(ha, hb, y, m): + a, b, c, d = contingency_table_multiclass(ha, hb, y) + Theta_1 = (a + d) / float(m) + numerator = (a + b) * (a + c) + (c + d) * (b + d) + Theta_2 = numerator / float(m) ** 2 + denominat = 1. - Theta_2 + return (Theta_1 - Theta_2) / check_zero(denominat) + + +# (\Theta_1 - \Theta_2) \times m^2 = (a+d)(a+b+c+d) - (a+b)(a+c)-(c+d)(b+d) +# method 1 = (a+b)[a+d-(a+c)] + (c+d)[a+d-(b+d)] = (a+b)(d-c)+(c+d)(a-b) +# = ad-ac+bd-bc + ac-bc+ad-bd = 2(ad-bc) +# method 2 = (a+c)[a+d-(a+b)] + (b+d)[a+d-(c+d)] = (a+c)(d-b)+(b+d)(a-c) +# = ad-ab+cd-bc + ab-bc+ad-cd = 2(ad-bc) +# \Theta_1 - \Theta_2 = 2\frac{ad-bc}{m^2} +# +# (1 - \Theta_2) \times m^2 = m^2 - (a+b)(a+c)-(c+d)(b+d) = (a+b)(b+d)+(c+d)(a+c) +# method 3 = (a+b+c+d)^2 - (a+b)(a+c) - (c+d)(b+d) = (a+b)(b+d)+(c+d)(a+c) +# 1 - \Theta_2 = \frac{ (a+b)(b+d) + (a+c)(c+d) }{m^2} +# +# \frac{\Theta_1 - \Theta_2}{1- \Theta_2} = 2\frac{ad-bc}{ (a+b)(b+d)+(a+c)(c+d) } +# denominator = ad+ab+db+b^2 + ad+ac+dc+c^2 = 2ad+(a+d)(b+c)+b^2+c^2 +# numerator = 2ad-2bc +# definitely, \kappa Statistic \in [-1, 1]?, even more narrow +# + +def Kappa_Statistic_binary(hi, hj, m): + a, b, c, d = contingency_table_binary(hi, hj) + Theta_1 = float(a + d) / m + Theta_2 = ((a + b) * (a + c) + (c + d) * (b + d)) / (float(m) ** 2) + return (Theta_1 - Theta_2) / check_zero(1. - Theta_2) + + +# self defined: research needed +def Kappa_Statistic_multi(hi, hj, y, m): + # m = len(y) # number of instances / samples + tem = np.concatenate([hi, hj, y]) + _, dY = judge_transform_need(tem) # vY, + del tem + if dY == 1: + dY = 2 + # # + Cij = np.array(contingency_table_multi(hi, hj, y)) + c_diagonal = [Cij[i, i] for i in range(dY)] + theta1 = np.sum(c_diagonal) / float(m) + c_row_sum = np.sum(Cij, axis=1) # rows / float(m) + c_col_sum = np.sum(Cij, axis=0) # columns / float(m) + theta2 = np.sum(c_row_sum * c_col_sum) / float(m) ** 2 + ans = (theta1 - theta2) / check_zero(1. - theta2) + return ans, theta1, theta2 + + +# ---------------------------------- +# Disagreement +# \in [0, 1] +# the larger the value, the larger the diversity. +# + +def disagreement_measure_multiclass(ha, hb, y, m): + _, b, c, _ = contingency_table_multiclass(ha, hb, y) + return (b + c) / float(m) + + +def Disagreement_Measure_binary(hi, hj, m): + _, b, c, _ = contingency_table_binary(hi, hj) + return float(b + c) / m + + +def Disagreement_Measure_multi(hi, hj, m): + tem = np.sum(np.not_equal(hi, hj)) # np.sum(hi != hj) + return float(tem) / m + + +# ---------------------------------- +# Correlation Coefficient +# \in [-1, 1] +# |\rho_{ij}| \leqslant |Q_{ij}| with the same sign +# + +def correlation_coefficient_multiclass(ha, hb, y): + a, b, c, d = contingency_table_multiclass(ha, hb, y) + numerator = a * d - b * c + denominat = (a + b) * (a + c) * (c + d) * (b + d) + denominat = np.sqrt(denominat) + return numerator / check_zero(denominat) + + +# to see which one of Q_ij and \rho_{ij} is larger, compare +# a * d + b * c =?= np.sqrt(np.prod([a+b, a+c, c+d, b+d])) +# a^2d^2+2abcd+b^2c^2 =?= (a^2+ab+ac+bc)(bc+bd+cd+d^2) +# = (a^2+bc+ab+ac)(bc+d^2+bd+cd) +# = (a^2+bc)(bc+d^2) + .... +# right= a^2bc+bcd^2+a^2d^2+b^2c^2 + (a^2+bc)(bd+cd)+(ab+ac)(bd+cd)+(ab+ac)(bc+d^2) +# right-left= bc(a^2+d^2)-2abcd + .... +# = bc(a-d)^2 +.... >= 0 +# 0 <= left <= right +# 1/left >= 1/right +# therefore, |Q_ij| \geqslant |\rho_ij| +# +# 0 =?= bc(a-d)^2 + .... +# denominator of Q_ij is smaller, then abs(Q_ij) is larger +# therefore, it should be |rho_{ij}| \leqslant |Q_{ij}| +# + +def Correlation_Coefficient_binary(hi, hj): + a, b, c, d = contingency_table_binary(hi, hj) + denominator = (a + b) * (a + c) * (c + d) * (b + d) + denominator = np.sqrt(denominator) + return (a * d - b * c) / check_zero(denominator) + + +# self defined: more research needed +def Correlation_Coefficient_multi(hi, hj, y): + Cij = np.array(contingency_table_multi(hi, hj, y)) + # list --> np.ndarray: d c + # b a + mxn = Cij.shape[1] # 主对角线,反对角线元素 + axd = np.prod([Cij[i, i] for i in range(mxn)]) + bxc = np.prod([Cij[i, mxn - 1 - i] for i in range(mxn)]) + C_row_sum = np.sum(Cij, axis=1) # sum in the same row + C_col_sum = np.sum(Cij, axis=0) # sum in the same column + denominator = np.multiply(C_col_sum, C_row_sum) # element-wise + # denominator = np_prod(denominator.tolist()) + denominator = np.prod(denominator) + denominator = np.sqrt(denominator) + return (axd - bxc) / check_zero(denominator) + +# 这里发现了一个大 BUG！是 numpy 造成的 +# numpy.prod([3886, 4440, 4964]) 结果是不对的 +# 它输出为 -251284160，但实际上应为 85648061760 +# +# 错因：是超出计算范围了，所以可能会得到 nan 的返回值结果 + + +# ---------------------------------- +# Double-Fault +# \in [0, 1], should be +# + +def double_fault_measure_multiclass(ha, hb, y, m): + _, _, _, e = contingency_table_multiclass(ha, hb, y) + # m = len(y) # = a+b+c+d, number of instances + # e = np.sum(np.logical_and(np.not_equal(ha,y), np.not_equal(hb,y))) + return int(e) / float(m) + + +def Double_Fault_Measure_binary_multi(hi, hj, y, m): + # np.ndarray + ei = np.not_equal(hi, y) # hi != y + ej = np.not_equal(hj, y) # hj != y + e = np.sum(ei & ej) + return float(e) / m + + +# ---------------------------------- + + +# ---------------------------------- +# Pairwise Measure + + +def pairwise_measure_item_multiclass(name_div, ha, hb, y, m): + if name_div == "Disag": # "Disagreement": + ans = disagreement_measure_multiclass(ha, hb, y, m) + elif name_div == "QStat": # "Q_statistic": + ans = Q_statistic_multiclass(ha, hb, y) + elif name_div == "Corre": # "Correlation": + ans = correlation_coefficient_multiclass(ha, hb, y) + elif name_div == "KStat": # "K_statistic": + ans = kappa_statistic_multiclass(ha, hb, y, m) + elif name_div == "DoubF": # "Double_fault": + ans = double_fault_measure_multiclass(ha, hb, y, m) + elif name_div not in PAIRWISE.keys(): # .values(): + raise ValueError("Pairwise-Measure doesn't work for" + " `name_div` =", name_div) + return ans + + +def pairwise_measure_gather_multiclass(name_div, yt, y, m, nb_cls): + ans = 0. + for i in range(nb_cls - 1): + for j in range(i + 1, nb_cls): + tem = pairwise_measure_item_multiclass( + name_div, yt[i], yt[j], y, m) + ans += tem + return ans * 2. / check_zero(nb_cls * (nb_cls - 1.)) + + +def pairwise_measure_item_binary(name_div, hi, hj, y, m): + if name_div == "Disagreement": + ans = Disagreement_Measure_binary(hi, hj, m) + elif name_div == "Q_statistic": + ans = Q_Statistic_binary(hi, hj) + elif name_div == "Correlation": + ans = Correlation_Coefficient_binary(hi, hj) + elif name_div == "K_statistic": + ans = Kappa_Statistic_binary(hi, hj, m) + elif name_div == "Double_fault": + ans = Double_Fault_Measure_binary_multi(hi, hj, y, m) + else: + raise UserWarning("LookupError! Check the `name_diver`" + " for pairwise_measure.") + return ans + + +def pairwise_measure_item_multi(name_div, hi, hj, y, m): + if name_div == "Disagreement": + ans = Disagreement_Measure_multi(hi, hj, m) + elif name_div == "Double_fault": + ans = Double_Fault_Measure_binary_multi(hi, hj, y, m) + # # # + # three self defined: more research needed + elif name_div == "Q_statistic": + ans = Q_Statistic_multi(hi, hj, y) + elif name_div == "Correlation": + ans = Correlation_Coefficient_multi(hi, hj, y) + elif name_div == "K_statistic": + ans, _, _ = Kappa_Statistic_multi(hi, hj, y, m) + else: + raise UserWarning("LookupError! Check the `name_diver`" + " for pairwise_measure.") + return ans + + +def pairwise_measure_whole_binary(name_div, yt, y, m, nb_cls): + ans = 0. + for i in range(nb_cls - 1): + hi = yt[i] + for j in range(i + 1, nb_cls): + hj = yt[j] + ans += pairwise_measure_item_binary( + name_div, hi, hj, y, m) + ans = ans * 2. / check_zero(nb_cls * (nb_cls - 1.)) + return float(ans) + + +def pairwise_measure_whole_multi(name_div, yt, y, m, nb_cls): + ans = 0. + for i in range(nb_cls - 1): + hi = yt[i] + for j in range(i + 1, nb_cls): + hj = yt[j] + ans += pairwise_measure_item_multi( + name_div, hi, hj, y, m) + ans = ans * 2. / check_zero(nb_cls * (nb_cls - 1.)) + return float(ans) diff --git a/pyfair/marble/draw_hypos.py b/pyfair/marble/draw_hypos.py new file mode 100644 index 0000000..37c4cc3 --- /dev/null +++ b/pyfair/marble/draw_hypos.py @@ -0,0 +1,714 @@ +# coding: utf-8 +# +# TARGET: +# Oracle bounds regarding fairness for weighted voting +# + + +from copy import deepcopy +import math + +import numpy as np +# from scipy.special import perm, comb # 计算排列/组合数 +from scipy.special import comb +import scipy.stats as stats + +from pyfair.facil.utils_const import check_zero # DTY_PLT +# from pyfair.facil.metrics_cont import contingency_tab_multiclass +# from pyfair.metrics.normal_perf import contingency_tab_multiclass + + +# ===================================== +# Matlab plot 比较检验 + + +def _regulate_vals(vals, typ='acc'): + if typ == 'acc': + return [1. - i for i in vals] + elif typ == 'err': + return vals + raise ValueError("No such test for `{}`".format(typ)) + # assert typ in ['acc', 'err'], "No such test for "+typ + + +def _regulate_sign(judge, content=r"$\mu$"): # judgment + mark = "Accept H0" if judge else "Reject H0" + if not content: + return mark # that is, content=='' + return "{}: equal {}".format(mark, content) + + +def _avg_and_stdev(vals, k=None): + if k is None: + k = len(vals) + # k: number of values in the designated list + # aka. SD. def _avg_standard_deviation() + mu = sum(vals) / k + + sigma2 = [(i - mu)**2 for i in vals] + # sigma2 = sum(sigma2) / (k - 1.) + sigma2 = sum(sigma2) / check_zero(k - 1.) + + sigma = math.sqrt(sigma2) + return mu, sigma2, sigma + + +# ------------------------------------- +# 2.4.1 假设检验 +# 对关于单个学习器泛化性能的假设进行检验 + +# hypothetical_test +# H0: error rate ==epsilon_0 + + +_qbinom_critical_value = { + 0.05: {}, + 0.10: {} +} # [alpha][k] + +_qt_critical_value = { + 0.05: {2: 12.706, 5: 2.776, 10: 2.262, 20: 2.093, 30: 2.045}, + 0.10: {2: 6.314, 5: 2.132, 10: 1.833, 20: 1.729, 30: 1.699}, +} # [alpha][k] + + +# 二项检验 + +def binomial_test(err, m, epsilon, alpha=.05): + # H0: <= epsilon_0 + # m: number of instances in the test set + + # var_epsilon = max([err]) # not `max(errs)` + + tau_bin = 0.0 + start = math.ceil(epsilon * m + 1) + for i in range(start, m + 1): + tmp = epsilon**i * (1 - epsilon)**(m - i) + tau_bin += comb(m, i) * tmp + + # threshold = 0.0 # ???? TODO + # mark = _regulate_sign(tao_bin < threshold) + mark = _regulate_sign(tau_bin < alpha) + return mark, tau_bin + + +def t_test(errs, k, epsilon, alpha=.05): + # k: number of cross-validation + # k = len(errs) # hat{epsilon} + + mu, sig2, sigma = _avg_and_stdev(errs, k) + + # sigma = check_zero(sigma) + # tau_t = (mu - epsilon) * math.sqrt(k) / sigma + # if abs(mu - epsilon) <= threshold: + # mark = _regulate_sign(abs(tao_t) <= threshold) + + tau_t = math.sqrt(k) * (mu - epsilon) + tau_t = tau_t / check_zero(sigma) + threshold = _qt_critical_value[alpha][k] + + mark = _regulate_sign(tau_t < threshold) + return mark, tau_t, mu, sig2 + + +# 单样本t检验 +# +# 应用场景： +# 对某个样本的均值进行检验，比较是否和总体的均值(自己定）是否存在差异。 +# +# 原假设和备择假设： +# H_0: \bar{X} = \mu 样本均值和总体均值相等 +# H_1: \bar{X}\neq\mu 样本均值和总体均值不等 +# +# p值大于0.05，说明我们不能拒绝原假设(即认为样本均值和总体均值没有显著差异) + +def scipy_ttest_for1(errs, epsilon, alpha=.05): + # aka. def sci_t_test() + clue, sig = stats.ttest_1samp(errs, epsilon) + mark = _regulate_sign(sig > alpha) + return mark, clue, sig + + +# ------------------------------------- +# 2.4.2 交叉验证t检验 +# 基本思想： +# 若两个学习器的性能相同，则它们使用相同的训练/测试集得到的 +# 测试错误率应相同，即 \epsilon_i^A = \epsilon_i^B + + +def paired_t_tests(valA, valB, k, alpha=.05): + # For cross validation, H0: epsilon A==B + # aka. def CV_paired_t_test() + + delta = [A - B for A, B in zip(valA, valB)] + + mu, _, sigma = _avg_and_stdev(delta, k) # ,sig2, + sigma = check_zero(sigma) + + tau_t = math.sqrt(k) * mu + tau_t = abs(tau_t / sigma) + + threshold = _qt_critical_value[alpha][k] + mark = _regulate_sign(tau_t < threshold) + + # mu_A, _, s_A = _avg_and_stdev(valA, k) + # mu_B, _, s_B = _avg_and_stdev(valB, k) + # return mark, tau_t, (mu_A, mu_B), (s_A, s_B) + return mark, tau_t + + +_qt_5x2cv_critical_value = { + 0.05: {5: 2.5706}, + 0.10: {5: 2.0150}, +} # [alpha][k] + + +# def paired_5x2cv_test(valA, valB, alpha=.05): +def paired_5x2cv_test(valA, valB, k=5, alpha=.05): + # valA/B: [(i_1,i_2)] i=1,..,5 # k=5, + # val*: [CV1 *2, CV2 *2, CV3 *2, CV4 *2, CV5 *2] + # k = 5 + + idx_i1 = list(range(0, 9, 2)) # [0,2,4,6,8] + idx_i2 = list(range(1, 10, 2)) # [1,3,5,7,9] + + delta_i1 = [valA[i] - valB[i] for i in idx_i1] + delta_i2 = [valA[i] - valB[i] for i in idx_i2] + + mu = 0.5 * (delta_i1[0] + delta_i2[0]) + sigma2 = [0.] * k + for i in range(k): + LHS = delta_i1[i] - (delta_i1[i] + delta_i2[i]) / 2 + RHS = delta_i2[i] - (delta_i1[i] + delta_i2[i]) / 2 + sigma2[i] = LHS ** 2 + RHS ** 2 # tmp + + denominator = math.sqrt(sum(sigma2) * 0.2) + tau_t = mu / check_zero(denominator) + threshold = _qt_5x2cv_critical_value[alpha][k] + mark = _regulate_sign(tau_t < threshold) + return mark, tau_t + + +# 独立样本t检验(双样本t检验) +# +# 应用场景： +# 是针对两组不相关样本（各样本量可以相等也可以不相等），检验它们在均值之间的 +# 差异。对于该检验方法而言，我们首先要确定两个总体的方差是否相等，如果不等，先 +# 利用levene检验，检验两总体是否具有方差齐性。 +# +# 原假设和备择假设： +# H_0: \mu_1 = \mu_2 两独立样本的均值相等 +# H_1: \mu_1\neq\mu_2 两独立样本的均值不等 + +def scipy_ttest_for2(valA, valB, alpha=.05): + mk_s2 = stats.levene(valA, valB).pvalue + mk_s2 = mk_s2 > alpha + clue, sig = stats.ttest_ind(valA, valB, equal_var=mk_s2) + mark = _regulate_sign(sig > alpha) + + # mk_s2 = _regulate_sign(mk_s2) + ": sigma2" + mk_s2 = _regulate_sign(mk_s2, r"$\sigma^2$") + return mark, clue, sig, mk_s2 + + +# 配对t检验 +# +# 应用场景： +# 是针对同一组样本在不同场景下均值之间的差异。检验的是两配对样本差值的均 +# 值是否等于0，如果等于0，则认为配对样本之间的均值没有差异，否则存在差异。 +# +# 原假设和备择假设： +# H_0: \mu_1 = \mu_2 两配对样本的均值相等 +# H_1: \mu_1\neq\mu_2 两配对样本的均值不等 +# +# 与独立样本t检验相比，配对样本T检验要求样本是配对的，两个样本的样本量要相同。 + +def scipy_ttest_pair(valA, valB, alpha=.05, mode='pl'): + if mode == 'pl': + clue, sig = stats.ttest_rel(valA, valB) + elif mode == 'sg': + diff = [a - b for a, b in zip(valA, valB)] + clue, sig = stats.ttest_1samp(diff, 0) + + else: + raise ValueError("Incorrect mode for paired t_test.") + mark = _regulate_sign(sig > alpha) + return mark, clue, sig + + +# ------------------------------------- +# 2.4.3 McNemar检验 +# +# 对二分类问题，使用留出法不仅可估计出学习器A和B的测试错误率，还可 +# 获得两学习器分类结果的差别，即两者都正确、都错误、一个正确另一个错误 +# 的样本数，如“列联表”所示。 +# 若我们所做的假设是两学习器性能相同，则应有…… + +_qchisq_critical_value = { + 0.05: {1: 3.8415}, + 0.10: {1: 2.7055} +} # [alpha][freedom] + + +# ''' +# contingency_table_binary +# | | hj = +1 | hj = -1 | +# | hi = +1 | a | b | +# | hi = -1 | c | d | +# +# contingency_table_multiclass +# | | hb == y | hb != y | +# | ha == y | a | b | +# | ha != y | c | d | +# ''' +# ''' +# Kuncheva2003measures +# | |hk correct (1)|hk wrong (0)| +# |hi correct (1)| N^{11} | N^{10} | +# |hi wrong (0)| N^{01} | N^{00} | +# Total, N= N^{00}+N^{01}+N^{10}+N^{11} +# +# i.e., +# | |hk correct|hk wrong| +# |hi correct| tp | fn | or | a | b | +# |hi wrong | fp | tn | | c | d | +# +# McNemar test +# | |Alg B correct|Alg B wrong | +# |Alg A correct| e_{00} | e_{10} | +# |Alg A wrong | e_{01} | e_{11} | +# ''' + + +def contingency_tab_multiclass(ha, hb, y): + # Do NOT use this function to calcuate! + a = np.sum(np.logical_and( + np.equal(ha, y), np.equal(hb, y))) # e_{00}, N^{11} + c = np.sum(np.logical_and( + np.not_equal(ha, y), np.equal(hb, y))) # e_{01}, N^{01} + b = np.sum(np.logical_and( + np.equal(ha, y), np.not_equal(hb, y))) # e_{10}, N^{10} + d = np.sum(np.logical_and( + np.not_equal(ha, y), np.not_equal(hb, y))) # e_{11}, N^{11} + return int(a), int(b), int(c), int(d) + + +def McNemar_test(ha, hb, y, k=2, alpha=.05): + # H0: the performance of these two classifiers are the same + # k=2 is because there are two algorithms being compared + _, e10, e01, _ = contingency_tab_multiclass(ha, hb, y) + # e00, e10, e01, e11 = contingency_tab_multiclass(ha, hb, y) + + numerator = abs(e01 - e10) - 1 + numerator = numerator ** 2 + denominator = e01 + e10 + # chi-square + tau_chi2 = numerator / check_zero(denominator) + + threshold = _qchisq_critical_value[alpha][k - 1] + mark = _regulate_sign(tau_chi2 < threshold) + return mark, tau_chi2 + + +# ------------------------------------- +# 2.4.4 Friedman检验 与 Nemenyi后续检验 +# +# 交叉验证t检验和McNemar检验都是在一个数据集上比较两个算法的 +# 性能，而在很多时候，我们会在一组数据集上对多个算法进行比较。当 +# 有多个算法参与比较时，一种做法是在每个数据集上分别列出两两比较的 +# 结果，而在两两比较时可使用前述方法；另一种方法更为直接，即使用 +# 基于算法排序的Friedman检验。 + + +# 算法平均序值表，用于算法比较 +# +# descend: 从大到小排序，值大的排名高 +# ascend : 从小到大排序，值小的排名高 + +def _Friedman_sequential(U, mode='ascend', dim=2): + # ordinal value / successive/sequential + if isinstance(U, list): + U = np.array(U, 'float') + # U: np.ndarray, size=(datasets, algorithms) + + index = np.argsort(U, axis=dim - 1) + if mode == 'descend': + index = index[:, :: -1] + row, col = np.shape(U) + + rank = np.zeros_like(U) + for m in range(row): + for n in range(col): + rank[m, index[m, n]] = n + rank += 1 + + # return np.asarray(rank, 'int') + return rank + + +def _Friedman_successive(U, rank): + # average ordering/ranking + row, col = np.shape(U) + + idx_bar = deepcopy(rank) + # idx_bar = rank.copy().astype('float') + # idx_bar = np.array(rank, dtype='float') + + for m in range(row): + uniq = np.unique(U[m, :]) + if len(uniq) == col: + continue + + tmp = deepcopy(rank[m]) # Notice! + # for k in range(len(uniq)): + for k, _ in enumerate(uniq): + loca = U[m] == uniq[k] + if np.sum(loca) > 1: + tmp[loca] = np.mean(rank[m, loca]) + del loca + idx_bar[m, :] = tmp + + return idx_bar + + +_qf_critical_value = { + 0.05: { + 4: [10.128, 5.143, 3.863, 3.259, 2.901, 2.661, 2.488, 2.355, 2.250], + 5: [7.709, 4.459, 3.490, 3.007, 2.711, 2.508, 2.359, 2.244, 2.153, + 2.077, 2.014, 1.960, 1.913, 1.873, 1.836, 1.804, 1.775, ], + 7: [5.987, 3.885, 3.160, 2.776, 2.534, 2.364, 2.237, 2.138, 2.059, + 1.993, 1.937, 1.889, 1.848, 1.811, 1.779, 1.750, 1.724], + 8: [5.591, 3.739, 3.072, 2.714, 2.485, 2.324, 2.203, 2.109, 2.032], + # 9: [5.318, 3.634, 3.009, 2.668, 2.449, 2.295, 2.178, 2.087, 2.013], + 10: [5.117, 3.555, 2.960, 2.634, 2.422, 2.272, 2.159, 2.070, 1.998], + 15: [4.600, 3.340, 2.827, 2.537, 2.346, 2.209, 2.104, 2.022, 1.955], + 20: [4.381, 3.245, 2.766, 2.492, 2.310, 2.179, 2.079, 2.000, 1.935], + + 9: [5.318, 3.634, 3.009, 2.668, 2.449, 2.295, 2.178, 2.087, 2.013, + 1.951, 1.899, 1.854, 1.815, 1.781, 1.750, 1.723, 1.698, 1.676, ], + 11: [4.965, 3.493, 2.922, 2.606, 2.400, 2.254, 2.143, 2.056, 1.986, + 1.927, 1.877, 1.834, 1.796, 1.763, 1.734, 1.707, 1.683, 1.661], + 25: [4.260, 3.191, 2.732, 2.466, 2.290, 2.162, 2.064, 1.987, 1.923, + 1.870, 1.825, 1.786, 1.752, 1.721, 1.694, 1.670, 1.648, 1.628], + 55: [4.020, 3.080, 2.660, 2.413, 2.247, 2.127, 2.034, 1.960, 1.899, + 1.848, 1.805, 1.767, 1.734, 1.705, 1.679, 1.655, 1.634, 1.614], + 165: [3.899, 3.023, 2.623, 2.386, 2.225, 2.108, 2.018, 1.945, 1.886, + 1.836, 1.794, 1.757, 1.725, 1.696, 1.670, 1.647, 1.626, 1.607], + 275: [3.876, 3.012, 2.616, 2.380, 2.221, 2.104, 2.014, 1.943, 1.884, + 1.834, 1.792, 1.755, 1.723, 1.694, 1.669, 1.646, 1.625, 1.606], + 825: [3.853, 3.001, 2.609, 2.375, 2.216, 2.100, 2.011, 1.940, 1.881, + 1.832, 1.790, 1.753, 1.721, 1.693, 1.667, 1.644, 1.624, 1.605], + + + 143: [3.908, 3.028, 2.626, 2.388, 2.227, 2.109, 2.019, 1.947, 1.887, + 1.837, 1.795, 1.758, 1.725, 1.697, 1.671, 1.648, 1.627, 1.608], + 429: [3.863, 3.006, 2.612, 2.377, 2.218, 2.102, 2.013, 1.941, 1.882, + 1.833, 1.791, 1.754, 1.722, 1.693, 1.668, 1.645, 1.624, 1.605], + }, + 0.10: { + 4: [5.538, 3.463, 2.813, 2.480, 2.273, 2.130, 2.023, 1.940, 1.874], + 5: [4.545, 3.113, 2.606, 2.333, 2.158, 2.035, 1.943, 1.870, 1.811, + 1.763, 1.721, 1.686, 1.655, 1.628, 1.603, 1.582, 1.562, ], + 7: [3.776, 2.807, 2.416, 2.195, 2.049, 1.945, 1.865, 1.802, 1.750, + 1.707, 1.670, 1.639, 1.611, 1.586, 1.564, 1.545, 1.527], + 8: [3.589, 2.726, 2.365, 2.157, 2.019, 1.919, 1.843, 1.782, 1.733], + # 9: [3.458, 2.668, 2.327, 2.129, 1.997, 1.901, 1.827, 1.768, 1.720], + 10: [3.360, 2.624, 2.299, 2.108, 1.980, 1.886, 1.814, 1.757, 1.710], + 15: [3.102, 2.503, 2.219, 2.048, 1.931, 1.845, 1.779, 1.726, 1.682], + 20: [2.990, 2.448, 2.182, 2.020, 1.909, 1.826, 1.762, 1.711, 1.668], + + 9: [3.458, 2.668, 2.327, 2.129, 1.997, 1.901, 1.827, 1.768, 1.720, + 1.680, 1.645, 1.615, 1.589, 1.566, 1.545, 1.526, 1.509, 1.494, ], + 11: [3.285, 2.589, 2.276, 2.091, 1.966, 1.875, 1.804, 1.748, 1.702, + 1.663, 1.630, 1.601, 1.576, 1.553, 1.533, 1.515, 1.499, 1.484], + 25: [2.927, 2.417, 2.161, 2.004, 1.896, 1.815, 1.753, 1.702, 1.661, + 1.625, 1.595, 1.569, 1.546, 1.525, 1.506, 1.490, 1.474, 1.461], + 55: [2.801, 2.352, 2.118, 1.971, 1.869, 1.792, 1.733, 1.684, 1.644, + 1.611, 1.581, 1.556, 1.534, 1.514, 1.496, 1.479, 1.465, 1.451], + 165: [2.736, 2.319, 2.095, 1.953, 1.854, 1.780, 1.722, 1.675, 1.636, + 1.603, 1.574, 1.549, 1.527, 1.508, 1.490, 1.474, 1.460, 1.446], + 275: [2.724, 2.312, 2.090, 1.950, 1.851, 1.778, 1.720, 1.673, 1.634, + 1.601, 1.573, 1.548, 1.526, 1.506, 1.489, 1.473, 1.459, 1.445], + 825: [2.712, 2.306, 2.086, 1.947, 1.849, 1.775, 1.718, 1.671, 1.632, + 1.599, 1.571, 1.546, 1.525, 1.505, 1.488, 1.472, 1.458, 1.444], + + 143: [2.741, 2.321, 2.097, 1.955, 1.855, 1.781, 1.723, 1.676, 1.636, + 1.603, 1.575, 1.550, 1.528, 1.508, 1.490, 1.474, 1.460, 1.447], + 429: [2.717, 2.309, 2.088, 1.948, 1.850, 1.776, 1.719, 1.672, 1.633, + 1.600, 1.572, 1.547, 1.525, 1.506, 1.488, 1.472, 1.458, 1.445], + }, +} # [alpha][N][k-2] # np.nan in np.array() +# R command: qf(1-alpha, k-1, (k-1)*(N-1)) + +_qtukey_critical_value = { + 0.05: [1.960, 2.344, 2.569, 2.728, 2.850, 2.949, 3.031, 3.102, 3.164, + 3.219, 3.268, 3.313, 3.354, 3.391, 3.426, 3.458, 3.489, 3.517, + 3.544, 3.569, 3.593, 3.616, 3.637, 3.658, 3.678, 3.696, 3.714, + 3.732, 3.749, 3.765, 3.780, 3.795, 3.810, ], + + 0.10: [1.645, 2.052, 2.291, 2.459, 2.589, 2.693, 2.780, 2.855, 2.920, + 2.978, 3.030, 3.077, 3.120, 3.159, 3.196, 3.230, 3.261, 3.291, + 3.319, 3.346, 3.371, 3.394, 3.417, 3.439, 3.459, 3.479, 3.498, + 3.516, 3.533, 3.550, 3.567, 3.582, 3.597, ], + +} # [alpha][k-2] +# R command: qtukey(1-alpha, k, Inf)/sqrt(2) + + +def Friedman_init(U, mode='descend'): + rank = _Friedman_sequential(U, mode, dim=2) + idx_bar = _Friedman_successive(U, rank) + # rank = rank.astype('int') + return rank, idx_bar + + +def Friedman_test(idx_bar, alpha=.05): + # aka. def compare_algorithms_average_index() + # U, mode='descend', alpha=.05) + + N, k = np.shape(idx_bar) # U) + r_i = np.mean(idx_bar, axis=0) + # mu = (k + 1.) / 2 + # sig2 = (k**2 - 1.) / 12 + + # ''' + # tau_chi2 = [(i - (k + 1) / 2)**2 for i in r_i] + # tau_chi2 = sum(tau_chi2) * (12 * N) * (k - 1) + # tau_chi2 = tau_chi2 / k / check_zero(k**2 - 1) + # ''' + + tau_chi2 = sum([i**2 for i in r_i]) + RHS = k * (k + 1)**2 / 4 + LHS = 12 * N / (k * (k + 1)) + tau_chi2 = LHS * (tau_chi2 - RHS) + + numerator = (N - 1) * tau_chi2 + denominator = N * (k - 1) - tau_chi2 + tau_F = numerator / check_zero(denominator) + + threshold = _qf_critical_value[alpha][N][k - 2] + mark = _regulate_sign(tau_F < threshold) + # CD = Nememyi_posthoc_test(N, k, alpha) + return mark, tau_F, tau_chi2 + + +def Nememyi_posthoc_test(idx_bar, alpha=.05): + N, k = np.shape(idx_bar) + + CD = k * (k + 1) / (6 * N) + CD = math.sqrt(CD) + threshold = _qtukey_critical_value[alpha][k - 2] + CD = threshold * CD + return CD, threshold + + +# ===================================== +# Matlab plot 2.3 性能度量 + + +# ------------------------------------- +# 2.3.1 错误率与精度 + + +# ------------------------------------- +# 2.3.2 查准率、查全率与F1 + + +# ------------------------------------- +# 2.3.3 ROC与AUC + + +# ------------------------------------- +# 2.3.4 代价敏感错误率与代价曲线 + + +# ===================================== +# Paired t-test + + +# ------------------------------------- +# two-tailed paired $t$-test +# G_1, G_2: i.e., Goals = (avg, std) + +_enc_rez = 2 + + +def _decode_sign(mark): + judge = mark.startswith("Accept H0") + return "T" if judge else "F" # "Tie/True" + + +def _encode_sign_math(avg, std, rez=2): + # Resolution, res/dpi + if rez == 2: + sign = "${:.2f}\\!\\pm\\!{:.2f}$".format(avg, std) + elif rez == 4: + sign = "${:.4f}\\!\\pm\\!{:.4f}$".format(avg, std) + elif rez == 1: + sign = "${:.1f}\\!\\pm\\!{:.1f}$".format(avg, std) + elif rez == 3: + sign = "${:.3f}\\!\\pm\\!{:.3f}$".format(avg, std) + else: # rez==6 + sign = "${:f}\\!\\pm\\!{:f}$".format(avg, std) + return sign + + +def _encode_sign_text(avg, std, rez=2): + if rez == 2: + sign = "{:.2f}\\topelement$\\pm${:.2f}".format(avg, std) + elif rez == 4: + sign = "{:.4f}\\topelement$\\pm${:.4f}".format(avg, std) + elif rez == 1: + sign = "{:.1f}\\topelement$\\pm${:.1f}".format(avg, std) + elif rez == 3: + sign = "{:.3f}\\topelement$\\pm${:.3f}".format(avg, std) + else: # rez==6 + sign = "{:f}\\topelement$\\pm${:f}".format(avg, std) + # sign = sign.replace("\topelement{", "").replace("}", "") + return sign + + +def _encode_sign(avg, std, rez=2, mode="text"): + if mode == "text": + sign = _encode_sign_text(avg, std, rez) + elif mode == "math": + sign = _encode_sign_math(avg, std, rez) + return sign + + +def _cmp_avg_descend(G_A, G_B): + avg_A, std_A = G_A + avg_B, std_B = G_B + if avg_A > avg_B: + mark = "W" + elif avg_A < avg_B: + mark = "L" + elif std_A < std_B: + mark = "W" + elif std_A > std_B: + mark = "L" + else: + mark = "T" + return mark + + +def _cmp_avg_ascend(G_A, G_B): + avg_A, std_A = G_A + avg_B, std_B = G_B + if avg_A < avg_B: + mark = "W" + elif avg_A > avg_B: + mark = "L" + elif std_A < std_B: + mark = "W" + elif std_A > std_B: + mark = "L" + else: + mark = "T" + return mark + + +def cmp_paired_avg(G_A, G_B, mode="descend"): + if mode == "descend": + mark = _cmp_avg_descend(G_A, G_B) + elif mode == "ascend": + mark = _cmp_avg_ascend(G_A, G_B) + return mark + + +def cmp_paired_wtl(G_A, G_B, mk_mu, mk_s2, mode="ascend"): + std_A = G_A[1] # avg_A, std_A = G_A + std_B = G_B[1] # avg_B, std_B = G_B + if _decode_sign(mk_s2) == "T": + if _decode_sign(mk_mu) == "T": + mark = "T" # tie + else: + mark = cmp_paired_avg(G_A, G_B, mode) + elif _decode_sign(mk_s2) == "F": + if _decode_sign(mk_mu) == "T": + if std_A < std_B: + mark = "W" + elif std_A > std_B: + mark = "L" + else: + mark = "T" + elif _decode_sign(mk_mu) == "F": + mark = cmp_paired_avg(G_A, G_B, mode) + return mark + + +def comp_t_init(valA, valB): + # def paired_t_init() + k = len(valA) # error rate /accuracy + assert k == len(valB), "cross_validation number error" + avg_A, _, std_A = _avg_and_stdev(valA, k) + avg_B, _, std_B = _avg_and_stdev(valB, k) + G_A = (avg_A, std_A) + G_B = (avg_B, std_B) + sign_A = _encode_sign(avg_A, std_A, _enc_rez) + sign_B = _encode_sign(avg_B, std_B, _enc_rez) + return sign_A, sign_B, G_A, G_B # , k + + +def comp_t_sing(val, k=None, rez=None): + if k is None: + k = len(val) + avg_, _, std_ = _avg_and_stdev(val, k) + Goal = (avg_, std_) + if rez is None: + rez = _enc_rez + sign = _encode_sign(avg_, std_, rez) + return sign, Goal + + +def comp_t_prep(valA, valB, alpha=.05, method="manual"): + k = len(valA) # error rate + assert k == len(valB), "cross_validation number error" + + if method == "manual": # customise + mk_mu, _ = paired_t_tests(valA, valB, k, alpha) + elif method == "scipy": + mk_mu, _, _ = scipy_ttest_pair(valA, valB, alpha) + + mk_s2 = stats.levene(valA, valB) + mk_s2 = mk_s2.pvalue > alpha + mk_s2 = _regulate_sign(mk_s2, r"$\sigma^2$") + return mk_mu, mk_s2 + + +# 方差齐性检验 + + +# ------------------------------------- + + +# ===================================== + + +# ------------------------------------- +# 皮尔逊相关系数 +# Pearson_correlation_coefficient +# https://blog.csdn.net/huangfei711/article/details/78456165 +# https://www.cnblogs.com/BlogNetSpace/p/18265455 + + +def Pearson_correlation(X, Y): + # or np.corrcoef(X, Y)[1, 0] + # or np.corrcoef(Y, X)[1, 0] + + # Covariance 协方差 + Xi_bar = np.array(X) - np.mean(X) + Yi_bar = np.array(Y) - np.mean(Y) + tmp = np.multiply(Xi_bar, Yi_bar) # =Xi_bar*Yi_bar + n = len(tmp) + cov = float(np.sum(tmp)) / (n - 1.) + + numerator = float(np.sum(tmp)) # ↓ denominator + denom_X = np.sum(Xi_bar * Xi_bar) # sum(Xi_bar**2) + denom_Y = np.sum(Yi_bar * Yi_bar) # sum(Yi_bar**2) + denominator = np.sqrt(denom_X) * np.sqrt(denom_Y) + denominator = check_zero(float(denominator)) + return numerator / denominator, cov + + +# ------------------------------------- diff --git a/pyfair/marble/metric_fair.py b/pyfair/marble/metric_fair.py new file mode 100644 index 0000000..5225a3f --- /dev/null +++ b/pyfair/marble/metric_fair.py @@ -0,0 +1,545 @@ +# coding: utf-8 +# +# TARGET: +# Oracle bounds regarding fairness for weighted vote +# fairness in manifolds and its extension + + +import numpy as np +import numba + +from pyfair.facil.utils_timer import fantasy_timer +from pyfair.facil.utils_const import ( + check_zero, judge_transform_need, DTY_INT) +from pyfair.facil.metric_cont import contingency_tab_bi +# from fairml.facils.metric_cont import ( +# contg_tab_mu_type3, contg_tab_mu_merge) + + +# ===================================== +# Oracle bounds for fairness + + +# ------------------------------------- +# Oracle bounds (previous version) +# hfm/metrics/fairness_gr(ou)p.py + + +# # Contingency table +# ''' +# marginalised groups +# | | h(xneg,gzero)=1 | h(xneg,gzero)=0 | +# | y= 1 | TP_{gzero} | FN_{gzero} | +# | y= 0 | FP_{gzero} | TN_{gzero} | +# privileged group +# | | h(xneg,gones)=1 | h(xneg,gones)=0 | +# | y= 1 | TP_{gones} | FN_{gones} | +# | y= 0 | FP_{gones} | TN_{gones} | +# +# instance (xneg,xpos) --> (xneg,xqtb) +# xpos might be `gzero` or `gones` +# +# C_{ij} +# | | hx=0 | hx=1 | ... | hx=? | +# | y=0 | C_00 | C_01 | ... | C_0* | +# | y=1 | C_10 | C_11 | | C_1* | +# | ... | ... | ... | | ... | +# | y=? | C_*0 | C_*1 | ... | C_*? | +# ''' +# # y, hx: list of scalars (as elements) + + +def marginalised_contingency(y, hx, vY, dY): + assert len(y) == len(hx), "Shapes do not match." + Cij = np.zeros(shape=(dY, dY), dtype=DTY_INT) + for i in range(dY): + for j in range(dY): + tmp = np.logical_and( + np.equal(y, vY[i]), np.equal(hx, vY[j])) + Cij[i, j] = np.sum(tmp).tolist() # int() + # Cij[i, j] = int(np.sum(tmp)) + return Cij # np.ndarray + + +@numba.jit(nopython=True) +def marginalised_confusion(Cij, loc=1): + Cm = np.zeros((2, 2), dtype=DTY_INT) + # loca = vY.index(pos) # [[TP,FN],[FP,TN]] + + Cm[0, 0] = Cij[loc, loc] + Cm[0, 1] = np.sum(Cij[loc]) - Cij[loc, loc] + Cm[1, 0] = np.sum(Cij[:, loc]) - Cij[loc, loc] + + # Cm[1, 1] = np.sum(Cij[:loca, :, loca]) + Cm[1, 1] = (np.sum(Cij) + Cij[loc, loc] + - np.sum(Cij[loc]) - np.sum(Cij[:, loc])) + return Cm # np.ndarray + + +def marginalised_pd_mat(y, hx, pos=1, idx_priv=tuple()): + if not isinstance(idx_priv, (list, np.ndarray)): + idx_priv = np.array(idx_priv) # list() + # y : not pd.DataFrame, is pd.core.series.Series + # hx: not pd.DataFrame, is np.ndarray + # tmp = y.to_numpy().tolist() + hx.tolist() + if isinstance(y, list) or isinstance(hx, list): + y, hx = np.array(y), np.array(hx) + + # y : np.ndarray, =pd.DataFrame.to_numpy().reshape(-1) + # hx: np.ndarray + tmp = y.tolist() + hx.tolist() + vY, _ = judge_transform_need(tmp) + dY = len(vY) + + gones_y_ = y[idx_priv].tolist() + gzero_y_ = y[np.logical_not(idx_priv)].tolist() + gones_hx = hx[idx_priv].tolist() + gzero_hx = hx[np.logical_not(idx_priv)].tolist() + + g1_Cij = marginalised_contingency(gones_y_, gones_hx, vY, dY) + g0_Cij = marginalised_contingency(gzero_y_, gzero_hx, vY, dY) + loca = vY.index(pos) + + gones_Cm = marginalised_confusion(g1_Cij, loca) + gzero_Cm = marginalised_confusion(g0_Cij, loca) + # gones_Cm: for privileged group + # gzero_Cm: for marginalised groups + return g1_Cij, g0_Cij, gones_Cm, gzero_Cm # np.ndarray + + +# ''' +# def marginalised_split_up(y, hx, priv=1, sen=list()): +# gones_y_ = [i for i, j in zip(y, sen) if j == priv] +# gzero_y_ = [i for i, j in zip(y, sen) if j != priv] +# gones_hx = [i for i, j in zip(hx, sen) if j == priv] +# gzero_hx = [i for i, j in zip(hx, sen) if j != priv] +# return gones_y_, gzero_y_, gones_hx, gzero_hx +# # return gones_y_,gones_hx,gzero_y_,gzero_hx # sens +# +# +# def marginalised_matrixes(y, hx, pos=1, priv=1, sens=list()): +# """ y, hx: list, shape=(N,), true label and prediction +# pos : which label is viewed as positive, might be multi-class. +# sens: which group these instances are from, including one priv- +# ileged group and one/multiple marginalised group. +# or list of boolean (as elements) +# priv: which one indicates the privileged group. +# """ +# vY, _ = judge_transform_need(y + hx) +# dY = len(vY) +# +# gones_y_, gzero_y_, gones_hx, gzero_hx \ +# = marginalised_split_up(y, hx, priv, sens) +# g1_Cij = marginalised_contingency(gones_y_, gones_hx, vY, dY) +# g0_Cij = marginalised_contingency(gzero_y_, gzero_hx, vY, dY) +# +# loca = vY.index(pos) # [[TP,FN],[FP,TN]] +# gones_Cm = marginalised_confusion(g1_Cij, loca) +# gzero_Cm = marginalised_confusion(g0_Cij, loca) +# return g1_Cij, g0_Cij, gones_Cm, gzero_Cm # np.ndarray +# ''' + + +# 1) Demographic parity +# aka. (TP+FP)/N = P[h(x)=1] + +def prev_unpriv_grp_one(gones_Cm, gzero_Cm): + N1 = np.sum(gones_Cm) + N0 = np.sum(gzero_Cm) + N1 = check_zero(N1.tolist()) + N0 = check_zero(N0.tolist()) + g1 = (gones_Cm[0, 0] + gones_Cm[1, 0]) / N1 + g0 = (gzero_Cm[0, 0] + gzero_Cm[1, 0]) / N0 + return float(g1), float(g0) + + +# 2) Equality of opportunity +# aka. TP/(TP+FN) = recall +# = P[h(x)=1, y=1 | y=1] + +def prev_unpriv_grp_two(gones_Cm, gzero_Cm): + t1 = gones_Cm[0, 0] + gones_Cm[0, 1] + t0 = gzero_Cm[0, 0] + gzero_Cm[0, 1] + g1 = gones_Cm[0, 0] / check_zero(t1) + g0 = gzero_Cm[0, 0] / check_zero(t0) + return float(g1), float(g0) + + +# 3) Predictive (quality) parity +# aka. TP/(TP+FP) = precision +# = P[h(x)=1, y=1 | h(x)=1] + +def prev_unpriv_grp_thr(gones_Cm, gzero_Cm): + t1 = gones_Cm[0, 0] + gones_Cm[1, 0] + t0 = gzero_Cm[0, 0] + gzero_Cm[1, 0] + g1 = gones_Cm[0, 0] / check_zero(t1) + g0 = gzero_Cm[0, 0] / check_zero(t0) + return float(g1), float(g0) + + +# Assume different groups have the same potential +# aka. (TP+FN)/N = P[y=1] + +def prev_unpriv_unaware(gones_Cm, gzero_Cm): + # aka. prerequisite + N1 = np.sum(gones_Cm) + N0 = np.sum(gzero_Cm) + N1 = check_zero(N1.tolist()) + N0 = check_zero(N0.tolist()) + g1 = (gones_Cm[0, 0] + gones_Cm[0, 1]) / N1 + g0 = (gzero_Cm[0, 0] + gzero_Cm[0, 1]) / N0 + return float(g1), float(g0) + + +# 在无意识前提下，分类 +# aka. (TP+FP)/N = P[h(x)=1] +# def unpriv_prereq(gones_Cm, gzero_Cm): + + +# Self-defined using accuracy +# aka. (TP+TN)/N = P[h(x)=y] + +def prev_unpriv_manual(gones_Cm, gzero_Cm): + N1 = np.sum(gones_Cm) + N0 = np.sum(gzero_Cm) + N1 = check_zero(N1.tolist()) + N0 = check_zero(N0.tolist()) + g1 = (gones_Cm[0, 0] + gones_Cm[1, 1]) / N1 + g0 = (gzero_Cm[0, 0] + gzero_Cm[1, 1]) / N0 + return float(g1), float(g0) + + +# ===================================== +# Fairness manifolds and its extension + + +# ------------------------------------- +# Fairness research & oracle bounds +# hfm/metrics/fair_grp_ext.py + + +class _elem: + @staticmethod + def _indices(vA, idx, ex): + tmp = list(range(len(vA))) + tmp.remove(idx) + n = sum(ex) - ex[idx] + return tmp, n, sum(ex) # =nt + + +def zero_division(dividend, divisor): + # divided_by_zero + if divisor == 0 and dividend == 0: + return 0. + elif divisor == 0: + return 10. # return 1. + return dividend / divisor + + +def marginalised_np_mat(y, y_hat, pos_label=1, + priv_idx=tuple()): + if not isinstance(priv_idx, (list, np.ndarray)): + priv_idx = np.array(priv_idx) # default:list() + if isinstance(y, list) or isinstance(y_hat, list): + y, y_hat = np.array(y), np.array(y_hat) + + g1_y = y[priv_idx] # idx_priv] + g0_y = y[~priv_idx] + g1_hx = y_hat[priv_idx] + g0_hx = y_hat[~priv_idx] + + g1_Cm = contingency_tab_bi(g1_y, g1_hx, pos_label) + g0_Cm = contingency_tab_bi(g0_y, g0_hx, pos_label) + # g1_Cm: for the privileged group + # g0_Cm: for marginalised group(s) + return g1_Cm, g0_Cm + + +def marginalised_np_gen(y, y_hat, A, priv_val=1, + pos_label=1): + # # if 0 in A and len(set(A)) == 2: + # if (0 in A) and (len(set(A)) == 2): + # vA = list(set(A))[:: -1] + # idx = vA.index(priv_val) + # g_y = [y[A == i] for i in vA] + # g_hx = [y_hat[A == i] for i in vA] + # g_Cm = [contingency_tab_bi( + # i, j, pos_label) for i, j in zip(g_y, g_hx)] + # ex = [sum(A == i) for i in vA] + # return g_Cm, vA, idx, ex + # + # vA = sorted(set(A)) + # idx = vA.index(priv_val) + # g_y = [y[A == i] for i in vA] + # g_hx = [y_hat[A == i] for i in vA] + # gs_Cm = [contingency_tab_bi( + # i, j, pos_label) for i, j in zip(g_y, g_hx)] + # ex = [sum(A == i) for i in vA] + # return gs_Cm, vA, idx, ex + + if (0 in A) and (len(set(A)) == 2): + vA = list(set(A))[:: -1] + else: + vA = sorted(set(A)) + idx = vA.index(priv_val) + g_y = [y[A == i] for i in vA] + g_hx = [y_hat[A == i] for i in vA] + gs_Cm = [contingency_tab_bi( + i, j, pos_label) for i, j in zip(g_y, g_hx)] + ex = [sum(A == i) for i in vA] + return gs_Cm, vA, idx, ex + + +# # Group fairness (measures) +# ''' Cm +# | | hx= pos | hx= neg | +# | y= pos | TP | FN | +# | y= neg | FP | TN | +# ''' +# # return tp, fp, fn, tn + + +# 1) demographic parity +# 人口统计均等 +# aka. (TP+FP)/N = P[h(x)=1] + +def unpriv_group_one(g1_Cm, g0_Cm): + n1 = check_zero(sum(g1_Cm)) + n0 = check_zero(sum(g0_Cm)) + g1 = (g1_Cm[0] + g1_Cm[1]) / n1 + g0 = (g0_Cm[0] + g0_Cm[1]) / n0 + return float(g1), float(g0) + + +# 2) equality of opportunity +# 胜率均等 +# aka. TP/(TP+FN) = recall +# = P[h(x)=1, y=1 | y=1] + +def unpriv_group_two(g1_Cm, g0_Cm): + t1 = g1_Cm[0] + g1_Cm[2] + t0 = g0_Cm[0] + g0_Cm[2] + g1 = g1_Cm[0] / check_zero(t1) + g0 = g0_Cm[0] / check_zero(t0) + return float(g1), float(g0) + + +# 3) predictive quality parity +# 预测概率均等 +# 3) predictive parity +# aka. TP/(TP+FP) = precision +# = P[h(x)=1, y=1 | h(x)=1] + +def unpriv_group_thr(g1_Cm, g0_Cm): + t1 = g1_Cm[0] + g1_Cm[1] + t0 = g0_Cm[0] + g0_Cm[1] + g1 = g1_Cm[0] / check_zero(t1) + g0 = g0_Cm[0] / check_zero(t0) + return float(g1), float(g0) + + +def calc_fair_group(g1, g0): + # aka. def group_fair() + return abs(g1 - g0) + + +# 假设不同群体成员具有同样的工作潜能 +# aka. (TP+FN)/N = P[y=1] + +def unpriv_unaware(g1_Cm, g0_Cm): + # aka. prerequisite + n1 = check_zero(sum(g1_Cm)) + n0 = check_zero(sum(g0_Cm)) + g1 = (g1_Cm[0] + g1_Cm[2]) / n1 + g0 = (g0_Cm[0] + g0_Cm[2]) / n0 + return float(g1), float(g0) + + +# 自定义 = accuracy 准确度 +# aka. (TP+TN)/N = P[h(x)=y] + +def unpriv_manual(g1_Cm, g0_Cm): + n1 = check_zero(sum(g1_Cm)) + n0 = check_zero(sum(g0_Cm)) + g1 = (g1_Cm[0] + g1_Cm[3]) / n1 + g0 = (g0_Cm[0] + g0_Cm[3]) / n0 + return float(g1), float(g0) + + +# ------------------------------------- +# Fairness research & oracle bounds (cont.) +# Fairness manifold + extension + +# Note that y|hx is np.ndarray + + +@fantasy_timer +def DPext_alterSP(y, hx, idx_Sjs, pos_label=1): + # item = [np.mean(hx[idx] == pos_label) for idx in idx_Sjs] + # item = np.nan_to_num(item).tolist() # Don't use list() + item = [hx[idx] == pos_label for idx in idx_Sjs] + # item = [0. if i.shape[0] == 0 else np.mean(i) for i in item] + item = [0. if not i.shape[0] else float(np.mean(i)) for i in item] + + n_aj = len(idx_Sjs) + intermediate = [] + for i in range(n_aj - 1): + for j in range(i + 1, n_aj): + intermediate.append(abs(item[i] - item[j])) + # pdb.set_trace() + return max(intermediate), float( + np.mean(intermediate)), intermediate + + +@fantasy_timer +def StatsParity_sing(hx, idx_Sjs, pos=1): + total = np.mean(hx == pos) + + # item = [np.mean(hx[idx] == pos) for idx in idx_Sjs] + # item = np.nan_to_num(item).tolist() # for robustness + item = [hx[idx] == pos for idx in idx_Sjs] + item = [np.mean(i) if i.shape[0] else 0. for i in item] + + elements = [float(np.abs(i - total)) for i in item] + n_ai = len(idx_Sjs) + return max(elements), sum(elements) / n_ai + + +@fantasy_timer +def StatsParity_mult(hx, idx_Ai_Sjs, pos=1): + half_mid = [StatsParity_sing( + hx, idx_Sjs) for idx_Sjs in idx_Ai_Sjs] + half_mid, half_ut = zip(*half_mid) + half_pl_max, half_pl_avg = zip(*half_mid) + n_a = len(idx_Ai_Sjs) + return max(half_pl_max), sum(half_pl_avg) / float(n_a), ( + half_pl_max, half_pl_avg, half_ut) + + +@fantasy_timer +def extGrp1_DP_sing(y, hx, idx_Sjs, pos=1): + # total = np.mean(hx == pos) + # alternative = [np.mean(hx[idx] == pos) for idx in idx_Sjs] + # if np.isnan(alternative).any(): + # alternative = np.nan_to_num(alternative).tolist() + # if np.isnan(total): + # total = float(np.nan_to_num(total)) + + total = hx == pos + total = np.mean(total) if total.shape[0] else 0. + alternative = [hx[idx] == pos for idx in idx_Sjs] + alternative = [np.mean( + i) if i.shape[0] else 0. for i in alternative] + + elements = [float(np.abs(i - total)) for i in alternative] + # if np.isnan(elements).any(): + # pdb.set_trace() + n_aj = len(idx_Sjs) + return max(elements), sum(elements) / n_aj, alternative + + +@fantasy_timer +def extGrp2_EO_sing(y, hx, idx_Sjs, pos=1): + idx = y == pos # renew_y = y[idx] + renew_hx = hx[idx] + renew_Sj = [Sj[idx] for Sj in idx_Sjs] + # total = np.mean(renew_hx == pos) + # alternative = [np.mean(renew_hx[Sj] == pos) for Sj in renew_Sj] + # + # if np.isnan(alternative).any(): + # alternative = np.nan_to_num(alternative).tolist() + # if np.isnan(total): + # total = float(np.nan_to_num(total)) + + total = renew_hx == pos + total = np.mean(total) if total.shape[0] else 0. + alternative = [renew_hx[Sj] == pos for Sj in renew_Sj] + alternative = [np.mean( + i) if i.shape[0] else 0. for i in alternative] + + elements = [float(np.abs(i - total)) for i in alternative] + # if np.isnan(elements).any(): + # pdb.set_trace() + n_aj = len(idx_Sjs) + return max(elements), sum(elements) / n_aj, alternative + + +@fantasy_timer +def extGrp3_PQP_sing(y, hx, idx_Sjs, pos=1): + idx = hx == pos + renew_y = y[idx] + renew_Sj = [Sj[idx] for Sj in idx_Sjs] + # total = np.mean(renew_y == pos) + # alternative = [np.mean(renew_y[Sj] == pos) for Sj in renew_Sj] + # + # if np.isnan(alternative).any(): + # alternative = np.nan_to_num(alternative).tolist() + # if np.isnan(total): # or total!=total + # total = float(np.nan_to_num(total)) + + total = renew_y == pos + total = np.mean(total) if total.shape[0] else 0. + alternative = [renew_y[Sj] == pos for Sj in renew_Sj] + alternative = [np.mean( + i) if i.shape[0] else 0. for i in alternative] + + elements = [float(np.abs(i - total)) for i in alternative] + n_aj = len(idx_Sjs) + return max(elements), sum(elements) / n_aj, alternative + + +@fantasy_timer +def alterGrps_sing(alternative, idx_Sjs): + ele = list(map(float, alternative)) + n_ai = len(idx_Sjs) + renewal = [abs(ele[i] - ele[j]) for i in range( + n_ai) for j in range(i + 1, n_ai)] + n_aj_prime = len(renewal) + return max(renewal), sum(renewal) / n_aj_prime + + +# def alterGroups_pl(half_alter, idx_Ai_Sjs, n_a): +# half_alter = [alterGrps_sing(alt, idx_Sjs)[ +# 0] for alt, idx_Sjs in zip(half_alter, idx_Ai_Sjs)] +# half_pl_max, half_pl_avg = zip(*half_alter) +# return max(half_pl_max), sum(half_pl_avg) / n_a +# +# +# @fantasy_timer +# def extGrp1_DP_pl(y, hx, idx_Ai_Sjs, pos=1, alter=False): +# half_mid = [extGrp1_DP_sing( +# y, hx, idx_Sjs, pos)[0] for idx_Sjs in idx_Ai_Sjs] +# half_pl_max, half_pl_avg, half_alter = zip(*half_mid) +# n_a = len(idx_Ai_Sjs) +# if not alter: +# return max(half_pl_max), sum(half_pl_avg) / n_a +# return alterGroups_pl(half_alter, idx_Ai_Sjs, n_a) +# +# +# @fantasy_timer +# def extGrp2_EO_pl(y, hx, idx_Ai_Sjs, pos=1, alter=False): +# half_mid = [extGrp2_EO_sing( +# y, hx, idx_Sjs, pos)[0] for idx_Sjs in idx_Ai_Sjs] +# half_pl_max, half_pl_avg, half_alter = zip(*half_mid) +# n_a = len(idx_Ai_Sjs) +# if not alter: +# return max(half_pl_max), sum(half_pl_avg) / n_a +# return alterGroups_pl(half_alter, idx_Ai_Sjs, n_a) +# +# +# @fantasy_timer +# def extGrp3_PQP_pl(y, hx, idx_Ai_Sjs, pos=1, alter=False): +# half_mid = [extGrp3_PQP_sing( +# y, hx, idx_Sjs, pos)[0] for idx_Sjs in idx_Ai_Sjs] +# half_pl_max, half_pl_avg, half_alter = zip(*half_mid) +# n_a = len(idx_Ai_Sjs) +# if not alter: +# return max(half_pl_max), sum(half_pl_avg) / n_a +# return alterGroups_pl(half_alter, idx_Ai_Sjs, n_a) + + +# ------------------------------------- +# + + +# ===================================== diff --git a/pyfair/marble/metric_perf.py b/pyfair/marble/metric_perf.py new file mode 100644 index 0000000..75c481e --- /dev/null +++ b/pyfair/marble/metric_perf.py @@ -0,0 +1,299 @@ +# coding: utf-8 +# +# Aim to provide: +# Performance-based metrics +# primarily for binary classification +# + + +import numpy as np +import numba +from pyfair.facil.utils_const import check_zero, non_negative + + +def comp_accuracy(y, hx): + t = np.mean(np.equal(y, hx)) + return float(t) + + +def comp_error_rate(y, hx): + t = np.mean(np.not_equal(y, hx)) + return float(t) + + +# ------------------------------------- +# Performance metrics +# +# After having the confusion matrix, +# for one single classifier (binary) + +# ''' +# | |prediction is positive|predict negative| +# |true label is positive| true positive (TP)|false negative (FN)| +# |true label is negative|false positive (FP)| true negative (TN)| +# ''' + + +# TP, FP, FN, TN +# -------------------------- +# NB. some doesn't work for multi-class! + + +# 精度 /正确率 +# Accuracy +# @numba.jit(nopython=True) +def calc_accuracy(tp, fp, fn, tn): + n = float(tp + fp + fn + tn) + tmp = (tp + tn) / check_zero(n) + return float(tmp) + + +# 错误率 +# Error rate = 1 - accuracy +def calc_error_rate(tp, fp, fn, tn): + n = float(tp + fp + fn + tn) + # return 1. - (tp + tn) / check_zero(n) + tmp = (fp + fn) / check_zero(n) + return float(tmp) + + +# 查准率 P +# Precision +def calc_precision(tp, fp, fn, tn): + denominator = float(tp + fp) + tmp = tp / check_zero(denominator) + return float(tmp) + + +# 查全率 R +# Recall +def calc_recall(tp, fp, fn, tn): + denominator = float(tp + fn) + tmp = tp / check_zero(denominator) + return float(tmp) + + +# F1 度量 +# F1 measure +def calc_f1_score(tp, fp, fn, tn): + n = float(tp + fp + fn + tn) + denominator = n + tp - tn + tmp = 2 * tp / check_zero(denominator) + return float(tmp) + + +# F1 度量的一般形式 +# F1 +def calc_f_beta(p, r, beta=1): + denominator = beta**2 * p + r + numerator = (1. + beta**2) * p * r + tmp = numerator / check_zero(denominator) + return float(tmp) + + +# ROC curve, AUC +# +# def calc_auc_score(y, y_hat): +# from sklearn import metrics +# return metrics.roc_auc_score(y, y_hat) + + +def calc_macro_score(confusion, cv=5): + tp, fp, fn, tn = zip(*confusion) + p_score = list(map(calc_precision, tp, fp, fn, tn)) + r_score = list(map(calc_recall, tp, fp, fn, tn)) + # f1_score = list(map(calc_f1_score, tp, fp, fn, tn)) + macro_p = sum(p_score) / float(cv) + macro_r = sum(r_score) / float(cv) + + numerator = 2. * macro_p * macro_r + denominator = float(macro_p + macro_r) + macro_f1 = numerator / check_zero(denominator) + # return macro_p, macro_r, macro_f1 + return float(macro_p), float(macro_r), float(macro_f1) + + +def calc_micro_score(confusion, cv=5): + tp, fp, fn, _ = zip(*confusion) # ,tn + tp_bar = sum(tp) / float(cv) + fp_bar = sum(fp) / float(cv) + fn_bar = sum(fn) / float(cv) + # tn_bar = sum(tn) / cv + + micro_p = float(tp_bar + fp_bar) + micro_p = tp_bar / check_zero(micro_p) + micro_r = float(tp_bar + fn_bar) + micro_r = tp_bar / check_zero(micro_r) + + numerator = 2. * micro_p * micro_r + denominator = float(micro_p + micro_r) + micro_f1 = numerator / check_zero(denominator) + # return micro_p, micro_r, micro_f1 + return float(micro_p), float(micro_r), float(micro_f1) + + +# ------------------------------------- +# Performance metrics +# 对单个分类器 +# +# expect smaller fpr|fnr, larger tnr|tpr + + +# 真正率/召回率/命中率 hit rate +# Recall +# True Positive Rate, TPR +def calc_tpr(tp, fp, fn, tn): + return calc_recall(tp, fp, fn, tn) + + +# 假正率/1-特异度, 误报/虚警/误检率 false alarm +# False Positive Rate, FPR +def calc_fpr(tp, fp, fn, tn): + denominator = float(tn + fp) + return fp / check_zero(denominator) + + +# 漏报率 miss rate, 也称为漏警率、漏检率 +# 1-recall +def calc_fnr(tp, fp, fn, tn): + denominator = float(tp + fn) + tmp = fn / check_zero(denominator) + return float(tmp) + + +# Recall +# True Positive Rate, TPR +def calc_sensitivity(tp, fp, fn, tn): + return calc_recall(tp, fp, fn, tn) + + +# 特异度 = 1-假正率 +# 1.-FPR +def calc_specificity(tp, fp, fn, tn): + # denominator = float(fp + tn) + denominator = float(tn + fp) + tmp = tn / check_zero(denominator) + return float(tmp) + + +def calc_tnr(tp, fp, fn, tn): + return calc_specificity(tp, fp, fn, tn) + + +# ------------------------------------- +# Data imbalance +# +# ref: +# https://support.sas.com/resources/papers/proceedings17/0942-2017.pdf +# g-mean = sensitivity * specificity**2 + + +# def calc_geometric_mean(tp, fp, fn, tn): +# sensitivity = calc_sensitivity(tp, fp, fn, tn) +# specificity = calc_specificity(tp, fp, fn, tn) +# +@numba.jit(nopython=True) +def imba_geometric_mean(sen, spe): + g_mean = np.sqrt(sen * spe) + return float(g_mean) + + +# def calc_discriminant_power(tp, fp, fn, tn): +# sensitivity = calc_sensitivity(tp, fp, fn, tn) +# specificity = calc_specificity(tp, fp, fn, tn) +# +def imba_discriminant_power(sen, spe): + """ The discriminant power assesses how well a classifier + distinguishes between the positive and negative cases. The + classifier is considered a poor classifier if DP < 1, limited + if DP < 2, fair if DP < 3 and good in other cases. + """ + X = sen / check_zero(1 - sen) + Y = spe / check_zero(1 - spe) + # numerator = np.log(X) + np.log(Y) + numer_1 = check_zero(non_negative(X)) + numer_2 = check_zero(non_negative(Y)) + numerator = np.log(numer_1) + np.log(numer_2) + denominator = np.sqrt(3) / np.pi + dp = numerator * denominator + return float(dp) + + +@numba.jit(nopython=True) +def imba_balanced_accuracy(sen, spe): + return sen * spe / 2. + + +def imba_Matthew_s_cc(tp, fp, fn, tn): + """ The value ranges from -1 to +1 with a value of +1 + representing a perfect prediction, 0 as no better than + random prediction and -1 the worst possible prediction. + """ + denom_1 = (tp + fp) * (tp + fn) + denom_2 = (tn + fp) * (tn + fn) + denominator = np.sqrt(denom_1 * denom_2) + numerator = float(tp * tn - fp * fn) + mcc = numerator / check_zero(denominator) + return float(mcc) + + +def imba_Cohen_s_kappa(tp, fp, fn, tn): + """ In a similar fashion to the MCC, kappa takes on + values from -1 to +1, with a value of 0 meaning there + is no agreement between the actual and classified + classes. A value of 1 indicates perfect concordance + of the model prediction and the actual classes and a + value of −1 indicates total disagreement between + prediction and the actual. + """ + total_acc = calc_accuracy(tp, fp, fn, tn) + + numer_1 = (tn + fp) * (tn + fn) + numer_2 = (fn + tp) * (fp + tp) + numerator = numer_1 + numer_2 + denom = float(tp + tn + fp + fn) ** 2 + random_acc = numerator / check_zero(denom) + + numerator = total_acc - random_acc + denom = 1. - random_acc + kappa = numerator / check_zero(denom) + return float(kappa), random_acc + + +@numba.jit(nopython=True) +def imba_Youden_s_index(sen, spe): + """ A higher value of 𝛾 is an indication of a good + performing classifier. + """ + # sen, spe \in [0,1] + # sen+spe-1 \in [-1,1] + gamma = sen - (1. - spe) + return float(gamma) + + +def imba_likelihoods(sen, spe): + """ Based on the definitions, a higher positive + likelihood ratio and a lower negative likelihood + ratio is an indication of a good performance on + positive and negative classes respectively. + """ + lr_pos = sen / check_zero(1 - spe) + lr_neg = (1 - sen) / check_zero(spe) + return lr_pos, lr_neg + + +# ------------------------------------- +# + + +# metrics_perf.py, performance.py +# core/oracle_metric.py +# +# TARGET: +# works for binary classification only + +# # performance.py, confusion_mat.py +# hfm/metrics/excl_perf_bin.py +# from hfm.utils.verifiers import check_zero +# --------------------- +# diff --git a/pyfair/marble/test_data_classify.py b/pyfair/marble/test_data_classify.py new file mode 100644 index 0000000..71e827e --- /dev/null +++ b/pyfair/marble/test_data_classify.py @@ -0,0 +1,105 @@ +# coding: utf-8 + + +import numpy as np +from sklearn import datasets +from sklearn.model_selection import train_test_split +from sklearn import tree +# import pdb + +from pyfair.marble.data_classify import ( + BaggingEnsembleAlgorithm, AdaBoostEnsembleAlgorithm, + BoostingEnsemble_multiclass, calc_acc_sing_pl_and_pr) +from pyfair.facil.utils_const import check_zero + + +data = datasets.load_iris() +X = data.data +y = data.target +X_trn, X_tst, y_trn, y_tst = train_test_split( + X, y, test_size=.3, random_state=651) +nb_trn = len(X_trn) +name_cls = tree.DecisionTreeClassifier() # clf +nb_cls = 7 + +nb_lbl = 2 # 3 +y_trn_tmp = np.random.randint(nb_lbl, size=nb_trn).tolist() +w_trn = np.random.rand(nb_trn) +w_trn /= check_zero(np.sum(w_trn).tolist()) +w_trn = w_trn.tolist() + + +def test_bagging(): + from pyfair.marble.data_classify import _BaggingSelectTraining + wX, wy, ti = _BaggingSelectTraining(X_trn, y_trn) + assert all(np.unique(y_trn) == np.unique(wy)) + assert len(ti) == nb_trn == len(wX) + assert len(ti) >= len(set(ti)) # pdb.set_trace() + + coef, clfs, ti = BaggingEnsembleAlgorithm( + X_trn, y_trn, name_cls, nb_cls) + address = [id(i) for i in clfs] + assert len(set(address)) == nb_cls + assert len(set([id(i) for i in ti])) == nb_cls + assert len(coef) == len(ti) == nb_cls + assert len(np.unique(coef)) == 1 + # assert all([len(i) == nb_trn for i in ti]) + assert np.shape(ti) == (nb_cls, nb_trn) + + # y_pred = [i.predict(X_tst).tolist() for i in clfs] + # hens = calc_acc_sing_pl_and_pr(y_tst, y_pred, coef) + # pdb.set_trace() + return + + +def test_adaboost(): + from pyfair.marble.data_classify import _resample + + wX, wy, ti = _resample(X_trn, y_trn_tmp, w_trn) + assert 1 <= len(np.unique(wy)) <= nb_lbl + assert len(ti) == nb_trn == len(wX) + assert all(np.unique(y_trn_tmp) == np.unique(wy)) + + coef, clfs, ti = AdaBoostEnsembleAlgorithm( + X_trn, y_trn_tmp, name_cls, nb_cls) + address = [id(i) for i in clfs] + assert len(set(address)) == nb_cls + assert len(set([id(i) for i in ti])) == nb_cls + assert len(coef) == len(ti) == nb_cls + + y_pred = [i.predict(X_tst).tolist() for i in clfs] + hens = calc_acc_sing_pl_and_pr(y_tst, y_pred, coef) + assert len(hens[0]) == nb_cls + # pdb.set_trace() + return + + +def test_boosting(): + from pyfair.marble.data_classify import ( + _resample, _AdaBoostSelectTraining) + + wX, wy, ti = _resample(X_trn, y_trn, w_trn) + assert 1 <= len(np.unique(wy)) <= len(set(y_trn)) + assert len(ti) == nb_trn + assert all(np.unique(y_trn) == np.unique(wy)) + assert len(ti) >= len(set(ti)) # pdb.set_trace() + + wX, wy, ti = _AdaBoostSelectTraining( + X_trn, y_trn, w_trn) + assert all(np.unique(y_trn) == np.unique(wy)) + assert len(ti) == len(wX) == nb_trn + assert len(ti) >= len(set(ti)) # pdb.set_trace() + + for name_ens in ["AdaBoostM1", "SAMME"]: + coef, clfs, ti = BoostingEnsemble_multiclass( + X_trn, y_trn, name_cls, nb_cls, name_ens) + address = [id(i) for i in clfs] + assert len(set(address)) == nb_cls + assert len(coef) == len(ti) == nb_cls + assert np.shape(ti) == (nb_cls, nb_trn) + + # pdb.set_trace() + return + + +# pdb.set_trace() diff --git a/pyfair/marble/test_draw_hypos.py b/pyfair/marble/test_draw_hypos.py new file mode 100644 index 0000000..870644c --- /dev/null +++ b/pyfair/marble/test_draw_hypos.py @@ -0,0 +1,208 @@ +# coding: utf-8 + +import numpy as np +from pyfair.facil.utils_const import check_equal +# from prgm.nucleus.utils_hypos import * +from pyfair.marble.draw_hypos import ( + _regulate_vals, _regulate_sign, + _Friedman_sequential, _Friedman_successive, + binomial_test, t_test, scipy_ttest_for1, scipy_ttest_for2, + paired_5x2cv_test, paired_t_tests, scipy_ttest_pair, + McNemar_test, Friedman_init, Friedman_test, Nememyi_posthoc_test, + cmp_paired_avg, cmp_paired_wtl, comp_t_init, comp_t_prep, + Pearson_correlation) + + +accs = [0.7, 0.8, 0.6, 0.85, 0.65] +errs = _regulate_vals(accs, 'acc') +k = 5 + +# err_1 = [0.1, 0.2, 0.15, 0.21, 0.3] +# err_2 = [0.3, 0.2, 0.16, 0.17, 0.13] +err_1 = [0.15, 0.21, 0.1, 0.2, 0.3] +err_2 = [0.3, 0.17, 0.2, 0.16, 0.13] + + +def test_prelim(): + assert all([i + j == 1 for i, j in zip(errs, accs)]) + vals = _regulate_vals(errs, 'acc') # Note if you want 1-x + assert all([i == j for i, j in zip(vals, accs)]) + + assert _regulate_sign(True).startswith('Accept') + assert _regulate_sign(False).startswith('Reject') + + +def test_subsubsec_241(): + # hypothetical_test + + mark, tau_b = binomial_test(max(errs), 11, .3) + assert 'H0' in mark and 0 <= tau_b <= 1 + # assert mark.endswith('H0') and 0 <= tau_b <= 1 + + mark, tau_b = binomial_test(max(errs), 7, .4) + assert 'H0' in mark and 0 <= tau_b <= 1 + # assert mark.endswith('H0') and 0 <= tau_b <= 1 + + _, tau_t, mu, s2 = t_test(errs, k, .3, 0.05) + _, tau_t, mu, s2 = t_test(errs, k, .4, 0.05) + _, tau_t, mu, s2 = t_test(errs, k, .4, 0.10) + # assert 'H0' in mark # _:mark + assert isinstance(mu, float) + + for alpha in [.05, .1]: + mark, tau_t, mu, s2 = t_test(errs, k, .18, alpha) + clue = scipy_ttest_for1(errs, .18, alpha) + assert mark == clue[0] and tau_t == clue[1] + + +def test_subsubsec_242(): + + for alpha in [.05, .1]: + mark, tau_t = paired_t_tests(err_1, err_2, k, alpha) + clue = scipy_ttest_pair(err_2, err_1, alpha) + assert mark == clue[0] and check_equal(tau_t, clue[1]) + + cnew = scipy_ttest_pair(err_2, err_1, alpha, 'sg') + assert mark == cnew[0] and check_equal(tau_t, cnew[1]) + assert clue == cnew + + clue = scipy_ttest_for2(err_1, err_2, alpha) + assert mark == clue[0] and check_equal(tau_t, clue[1]) + + for alpha in [.05, .1]: + mark, tau_t = paired_5x2cv_test( + err_1 + err_2, err_2 + err_1, k=k, alpha=alpha) + clue = paired_5x2cv_test( + err_2 + err_1, err_1 + err_2, k=k, alpha=alpha) + assert mark == clue[0] and -tau_t == clue[1] + + paired_5x2cv_test(err_1 + err_1, err_2 + err_2, k, alpha) + paired_5x2cv_test(err_2 + err_2, err_1 + err_1, k, alpha) + + +def test_subsubsec_243(): + nb_inst, nb_labl = 11, 2 + y = np.random.randint(nb_labl, size=nb_inst) + ha = np.random.randint(nb_labl, size=nb_inst) + hb = np.random.randint(nb_labl, size=nb_inst) + + for alpha in [.05, .1]: + mark, tau_t = McNemar_test(ha, hb, y, alpha=alpha) + assert 0 <= tau_t # <= 1 + assert mark[:6] in ('Accept', 'Reject') # ' H0' + + +# ''' +# U = np.arange(24) +# np.random.shuffle(U) +# U.resize(6, 4) +# +# U[5, 3] = U[5, 1] +# U[1, 0] = U[1, 2] +# U = U.astype('float') +# ''' + + +def _generate_U(N=6, k=4): + U = np.arange(N * k) + np.random.shuffle(U) + U.resize(N, k) + + U[N - 1, k - 1] = U[N - 1, 1] + U[1, 0] = U[1, 2] + U = U.astype('float') + + return U + + +def test_subsubsec_244(): + U = _generate_U(6, 4) + rank = _Friedman_sequential(U, 'descend') + idx_bar = _Friedman_successive(U, rank) + assert np.all(np.equal(np.sum(idx_bar, axis=1), + np.sum(rank, axis=1))) + + for sz in [(5, 4), (4, 3)]: + U = _generate_U(*sz) + # rank, idx_bar = Friedman_init(U, alpha=.05) + # mark, = Friedman_test(U, 'descend', .05) + + _, idx_bar = Friedman_init(U, 'descend') + # mark, tau_F, tau_chi2, CD = Friedman_test(idx_bar, .05) + + mark, tau_F, tau_chi2 = Friedman_test(idx_bar, .05) + CD = Nememyi_posthoc_test(idx_bar, .05) + assert len(CD) == 2 + + mark, tau_F, tau_chi2 = Friedman_test(idx_bar, .1) + CD, q_alpha = Nememyi_posthoc_test(idx_bar, .1) + assert isinstance(CD, float) and isinstance(q_alpha, float) + + +def test_paired_t(): + # import numpy as np + # from fairml.widget.utils_const import check_equal + # nb_inst, ep_a, ep_b = 21, .7, .3 + k, ep_a, ep_b = 5, .7, .3 # nb_cv + + acc_1 = np.random.rand(k) * ep_b + ep_a + acc_2 = np.random.rand(k) * ep_b + ep_a + err_1 = 1 - acc_1 + err_2 = 1 - acc_2 + pct_1 = acc_1 * 100 + pct_2 = acc_2 * 100 + # error rate, percentage + + acc_1 = acc_1.tolist() + acc_2 = acc_2.tolist() + err_1 = err_1.tolist() + err_2 = err_2.tolist() + pct_1 = pct_1.tolist() + pct_2 = pct_2.tolist() + + _, _, GA_a, GB_a = comp_t_init(acc_1, acc_2) + _, _, GA_e, GB_e = comp_t_init(err_1, err_2) + _, _, GA_p, GB_p = comp_t_init(pct_1, pct_2) + # assert GA_a[0] + GA_e[0] == 1 and GA_a[1] == GA_e[1] + assert check_equal(GA_a[0] + GA_e[0], 1) + assert check_equal(GB_a[0] + GB_e[0], 1) + assert check_equal(GA_a[1], GA_e[1]) + assert check_equal(GB_a[1], GB_e[1]) + # assert GB_a[0] + GB_e[0] == 1 and GB_a[1] == GB_e[1] + assert check_equal(GA_a[0] * 100, GA_p[0]) + assert check_equal(GB_a[0] * 100, GB_p[0]) + assert check_equal(GA_a[1] * 100, GA_p[1]) + assert check_equal(GB_a[1] * 100, GB_p[1]) + + res_a = comp_t_prep(acc_1, acc_2) + res_e = comp_t_prep(err_1, err_2) + res_p = comp_t_prep(pct_1, pct_2) + assert res_a[0] == res_e[0] == res_p[0] + assert res_a[1] == res_e[1] == res_p[1] + ans_a = comp_t_prep(acc_1, acc_2, method='scipy') + assert res_a[0] == ans_a[0] and res_a[1] == ans_a[1] + + ans_a = cmp_paired_avg(GA_a, GB_a) + ans_p = cmp_paired_avg(GA_p, GB_p) + ans_e = cmp_paired_avg(GA_e, GB_e, 'ascend') + assert ans_a == ans_p == ans_e + res_a = cmp_paired_wtl(GA_a, GB_a, res_a[0], res_a[1], 'descend') + res_p = cmp_paired_wtl(GA_p, GB_p, res_p[0], res_p[1], 'descend') + res_e = cmp_paired_wtl(GA_e, GB_e, res_e[0], res_e[1]) + assert res_a == res_p == res_e + + +def test_Pearson(): + n = 11 + X = np.random.rand(n) + Y = np.random.rand(n) + pear, cov = Pearson_correlation(X, Y) + corr = np.corrcoef(X, Y) + assert check_equal(pear, [corr[1, 0], corr[0, 1]]) + corr = np.corrcoef(Y, X) + assert check_equal(pear, [corr[1, 0], corr[0, 1]]) + corr = Pearson_correlation(Y, X) + assert check_equal(pear, corr[0]) + assert check_equal(cov, corr[1]) + # pdb.set_trace() + return diff --git a/pyfair/marble/test_ent_dist.py b/pyfair/marble/test_ent_dist.py new file mode 100644 index 0000000..1de2a8e --- /dev/null +++ b/pyfair/marble/test_ent_dist.py @@ -0,0 +1,336 @@ +# coding: utf-8 + + +import numpy as np +from pyfair.facil.utils_const import check_equal, synthetic_dat + +nb_inst, nb_feat, nb_lbl = 1210, 7, 3 +nb_bin = 4 +X_trn, y_trn = synthetic_dat(nb_lbl, nb_inst, nb_feat) + + +def test_ent_convert(): + from pyfair.marble.data_entropy import binsMDL, prob, jointProb + data = binsMDL(X_trn, nb_bin=nb_bin) + assert len(np.unique(data)) == nb_bin + assert np.shape(data) == np.shape(X_trn) + + data = np.array(data) + X = data[:, 0].tolist() + px, vX = prob(X) + assert all([i in range(nb_bin) for i in set(vX)]) + assert check_equal(sum(px), 1.) # sum(px) == 1. + + Y = data[:, 1].tolist() + pxy, vX, vY = jointProb(X, Y) + assert all([(i in range(nb_bin)) for i in set(vX)]) + assert all([(j in range(nb_bin)) for j in set(vY)]) + assert 1 <= np.shape(pxy)[0] == len(vX) <= nb_bin + assert 1 <= np.shape(pxy)[1] == len(vY) <= nb_bin + assert check_equal(np.sum(pxy), 1.) # np.sum(pxy)==1. + + temn = binsMDL(X_trn, nb_bin=nb_bin) + assert id(data) != id(temn) + assert np.all(np.equal(data, temn)) + temn = 5 + for i in range(temn): + X = data[:, i].tolist() + px, vX = prob(X) + py, vY = prob(X) + assert id(px) != id(py) and id(vX) != id(vY) + assert np.all(np.equal(px, py)) + assert np.all(np.equal(vX, vY)) + + for i in range(temn - 1): + X = data[:, i].tolist() + for j in range(i + 1, temn): + Y = data[:, j].tolist() + pxy, vX, vY = jointProb(X, Y) + pab, vA, vB = jointProb(X, Y) + assert id(pxy) != id(pab) + assert id(vX) != id(vA) and id(vY) != id(vB) + assert np.all(np.equal(pxy, pab)) + assert np.all(np.equal(vX, vA)) + assert np.all(np.equal(vY, vB)) + return + + +def test_data_entropy(): + # from fairml.widget.data_entropy import H, H1, H2 + # from fairml.widget.data_entropy import I, MI, VI + # from fairml.widget.data_entropy import DIST, DIV1, DIV2 + from pyfair.marble.data_entropy import ( + H, H1, H2, I, MI, VI, DIST, DIV1, DIV2) + + nb_spl, nb_lbl = 223, 4 + X = np.random.randint(nb_lbl, size=nb_spl).tolist() + Y = np.random.randint(nb_lbl, size=nb_spl).tolist() + L = np.random.randint(nb_lbl, size=nb_spl).tolist() + S = np.random.randint(nb_lbl, size=(nb_spl, nb_feat)).tolist() + + def subr_ent_HI(X, Y): + for p in np.arange(0, 1.1, 0.1): + assert 0. <= H(p) <= 1. + assert H1(X) >= 0. and H1(Y) >= 0. + assert H2(X, Y) >= 0. + # assert H2(X, Y) == H2(Y, X) + assert H(0.) == 0. and H(1e-16) > 0. + assert H(1.) == 0. and H(1 + 1e-8) < 0. + assert check_equal(H2(X, Y), H2(Y, X)) + + ans1, ans2 = H1(X), H1(X) + assert id(ans1) != id(ans2) and ans1 == ans2 + ans1, ans2 = H2(X, Y), H2(X, Y) + assert id(ans1) != id(ans2) and ans1 == ans2 + assert check_equal(I(X, Y), I(Y, X)) + assert check_equal(MI(X, Y), MI(Y, X)) + assert check_equal(VI(X, Y), VI(Y, X)) + + ans1, ans2 = I(X, Y), I(X, Y) + assert id(ans1) != id(ans2) and ans1 == ans2 + ans1, ans2 = MI(X, Y), MI(X, Y) + assert id(ans1) != id(ans2) and ans1 == ans2 + ans1, ans2 = VI(X, Y), VI(X, Y) + assert id(ans1) != id(ans2) and ans1 == ans2 + + def subr_ent_DIST(X, Y, L, S): + max_value = nb_feat * nb_feat / 2. + for lam in np.arange(0, 1.1, 0.1): + assert 0 <= DIST(X, Y, L, lam) <= 1 + ans1 = DIV1(S, L, lam) + ans2 = DIV2(S, L, lam) + assert check_equal(ans1, ans2, 1e-13) + assert 0 <= ans1 <= max_value + assert 0 <= ans2 <= max_value + lam = 0.5 + + ans1 = DIST(X, Y, L, lam) + ans2 = DIST(X, Y, L, lam) + assert id(ans1) != id(ans2) and ans1 == ans2 + ans1 = DIV1(S, L, lam) + ans2 = DIV1(S, L, lam) + assert id(ans1) != id(ans2) and ans1 == ans2 + ans1 = DIV2(S, L, lam) + ans2 = DIV2(S, L, lam) + assert id(ans1) != id(ans2) and ans1 == ans2 + + subr_ent_HI(X, Y) + subr_ent_DIST(X, Y, L, S) + return + + +def test_distributed(): + from pyfair.marble.data_entropy import ( + _dist_sum, _arg_max_p, Greedy, _choose_proper_platform, + _find_idx_in_sub, _randomly_partition, DDisMI) + nb_spl, nb_lbl = 121, 5 + + T = np.random.randint(nb_lbl, size=(nb_spl, nb_feat)).tolist() + L = np.random.randint(nb_lbl, size=nb_spl).tolist() + p = np.random.randint(nb_lbl, size=nb_spl).tolist() + S = np.random.randint(2, size=nb_feat, dtype='bool').tolist() + N = np.random.randint(nb_lbl, size=(nb_spl, nb_feat)) + + def subr_Greedy(p, T, L, S): + for lam in np.arange(0, 1.04, 0.05): + assert 0 <= _dist_sum(p, T, L, lam) <= nb_feat + idx = _arg_max_p(T, S, L, lam) + assert -1 <= idx < nb_feat + assert (not S[idx] if idx > -1 else True) + + lam = 0.5 + ans1 = _dist_sum(p, T, L, lam) + ans2 = _dist_sum(p, T, L, lam) + assert id(ans1) != id(ans2) and ans1 == ans2 + ans1 = _arg_max_p(T, S, L, lam) + ans2 = _arg_max_p(T, S, L, lam) + assert id(ans1) != id(ans2) and ans1 == ans2 + assert (ans1 == ans2 == -1 if -1 in [ans1, ans2] else True) + + k = 3 + for lam in np.arange(0, 1.04, 0.25): + ans1 = Greedy(T, k, L, lam) + ans2 = Greedy(T, k, L, lam) + assert id(ans1) != id(ans2) + assert sum(ans1) == sum(ans2) == k + # Notice that ans1 might not be equal to ans2 + # due to randomness in Greedy + + def subr_DDisMI(N, L): + for nb in (11, 17, 21, 27, 31, 37, 41): + for pr in np.arange(0.05, 0.54, 0.05): + k, m = _choose_proper_platform(nb, pr) + assert 1 <= k <= int(nb * pr) + 1 + assert m >= 1 and nb / m >= k + for n in (11, 17, 21, 27, 31, 37, 41): + for m in (1, 2, 3, 4, 5, 6, 7): + idx = _randomly_partition(n, m) + tmp = n // m + for i in range(m): + alt = np.sum(np.equal(idx, i)) + assert (alt == tmp if n % m == 0 else ( + alt in [tmp, tmp + 1])) + + k, m, lam = 2, 3, 0.5 + Tl = np.array(_randomly_partition(nb_feat, m)) + for i in range(m): + idx = _find_idx_in_sub(i, Tl, N, k, L, lam) + assert all((Tl[j] == i) for j in idx) + N = N.tolist() + for lam in np.arange(0, 1.04, 0.25): + ans1 = DDisMI(N, k, m, L, lam) + ans2 = DDisMI(N, k, m, L, lam) + assert id(ans1) != id(ans2) + assert sum(ans1) == sum(ans2) == k + # It's possible that ans1 != ans2 (they are not the same) + + subr_Greedy(p, T, L, S) + subr_DDisMI(N, L) + return + + +def test_data_distance(): + from pyfair.marble.data_distance import ( + # from fairml.facils.metric_dist import ( + KL_divergence, JS_divergence, f_divergence, + Hellinger_dist_v1, Hellinger_dist_v2, Wasserstein_dis, + Wasserstein_distance, Bhattacharyya_dist) + + _len = 11 + p = np.random.rand(_len) # .tolist() + q = np.random.rand(_len) # .tolist() + p /= np.sum(p) + q /= np.sum(q) + p = p.tolist() + q = q.tolist() + + def subr_dist(p, q): + ans_1 = KL_divergence(p, q) + ans_2 = KL_divergence(q, p) + assert ans_1 != ans_2 + assert 0 <= ans_1 and 0 <= ans_2 + + ans_1 = JS_divergence(p, q) + ans_2 = JS_divergence(q, p) + assert 0 <= ans_1 == ans_2 <= 1 + + ans_1 = f_divergence(p, q) + ans_2 = f_divergence(q, p) + assert 0 <= ans_1 and 0 <= ans_2 + assert ans_1 != ans_2 + + ans_1 = Bhattacharyya_dist(p, q) + ans_2 = Bhattacharyya_dist(q, p) + assert ans_1 == ans_2 + + ans_1 = Hellinger_dist_v1(p, q) + ans_2 = Hellinger_dist_v1(q, p) + res_1 = Hellinger_dist_v2(p, q) + res_2 = Hellinger_dist_v2(q, p) + assert ans_1 == ans_2 + assert res_1 == res_2 + assert check_equal(ans_1, res_1) + + def subr_others(p, q): + from pyfair.marble.data_distance import ( + JS_div, _f_div, _BC_dis, + _discrete_bar_counts, _discrete_joint_cnts) + _mx, _n = 15, 11 # 5,11, _max,indexes + + indices = np.random.randint(_mx, size=(3, _n)).tolist() + freq_x, freq_y = _discrete_bar_counts(indices, False) + # assert (len(freq_x) == _mx) and (sum(freq_y) == 3 * _n) + fg = (len(freq_x) <= _mx) and (sum(freq_y) == 3 * _n) + assert fg # if not fg: pdb.set_trace() + freq_x, freq_y = _discrete_bar_counts(indices, True) + fg = len(freq_x) <= _mx and check_equal(sum(freq_y), 1) + assert fg # if not fg: pdb.set_trace() + + X, Y = indices[: 2] # .tolist() + px, py, v = _discrete_joint_cnts(X, Y, False) + fg = (len(v) <= _mx) and (sum(px) == sum(py) == _n) + assert fg # if not fg: pdb.set_trace() + px, py, _ = _discrete_joint_cnts(X, Y, True, freq_x) + # assert sum(px) == sum(py) == 1 + assert check_equal(1, [sum(px), sum(py)]) + + ans_1 = JS_divergence(px, py) + ans_2 = JS_divergence(py, px) + res_1 = JS_div(X, Y, _mx) + res_2 = JS_div(Y, X, _mx) + # assert ans_1 == ans_2 == res_1 == res_2 + assert check_equal([ans_1, res_1, ans_2], + [ans_2, res_2, res_1]) + + assert _f_div(0) + assert _f_div(.1) + assert _BC_dis(p, q) == _BC_dis(q, p) + + def subr_Wasserstein(): + P = np.asarray([[0.4, 100, 40, 22], + [0.3, 211, 20, 2], + [0.2, 32, 190, 150], + [0.1, 2, 100, 100]], np.float32) + Q = np.array([[0.5, 0, 0, 0], + [0.3, 50, 100, 80], + [0.2, 255, 255, 255]], np.float32) + + P = [1, 1, 3, 0, 1, 1, 0, 2, 4, 1, 3] + Q = [0, 1, 3, 4, 0, 3, 4, 0, 1, 3, 3][: -1] + + D = np.array([ + [0.93567741, 0.34600973, 0.27497965, 0.4246211, 0.75069193, + 0.35346927, 0.99816927, 0.71456577, 0.83063506, 0.78303612], + [0.2807255, 0.74804571, 0.25581535, 0.75933327, 0.9266441, + 0.87676772, 0.22450438, 0.19204409, 0.284512, 0.32865576], + [0.84234205, 0.98525291, 0.24993327, 0.09657005, 0.34258716, + 0.68564655, 0.62006413, 0.27505453, 0.25916905, 0.93834445], + [0.65565054, 0.0015819, 0.80277026, 0.54452282, 0.21638088, + 0.89420282, 0.02075447, 0.58425187, 0.03557015, 0.71154912], + [0.25794754, 0.67905002, 0.59239805, 0.36946834, 0.55272395, + 0.92108286, 0.29793572, 0.5181298, 0.51423737, 0.02359331], + [0.75631957, 0.5938635, 0.18456913, 0.22295727, 0.42088002, + 0.80519667, 0.21067406, 0.01092239, 0.25789742, 0.70930335], + [0.36418754, 0.83065765, 0.19611084, 0.22163539, 0.67689765, + 0.10083083, 0.7343346, 0.10871391, 0.71905828, 0.57137656], + [0.34371387, 0.19048136, 0.50948028, 0.04665333, 0.81732085, + 0.05715832, 0.64291096, 0.70375603, 0.17183316, 0.74101405], + [0.05366221, 0.33590286, 0.24301574, 0.54062827, 0.0509917, + 0.10521303, 0.82893334, 0.3896138, 0.46337714, 0.69849168], + [0.91117572, 0.26605836, 0.79068549, 0.67219381, 0.36649096, + 0.45386944, 0.17232333, 0.77632621, 0.22291717, 0.15580118], + [0.21171312, 0.54628479, 0.13150931, 0.94915583, 0.53609526, + 0.09711085, 0.86418277, 0.77878942, 0.66041811, 0.6650721] + ]).tolist() + + ans_1 = Wasserstein_dis(P, Q) + ans_2 = Wasserstein_dis(Q, P) + assert ans_1 == ans_2 + + res_1 = Wasserstein_distance(P, Q, D) + res_2 = Wasserstein_distance(Q, P, np.transpose(D)) + assert res_1 != res_2 + + def subr_Hellinger(): + P = np.asarray([0.65, 0.25, 0.07, 0.03]) + Q = np.array([0.6, 0.25, 0.1, 0.05]) + + # Two ways + h1 = 1 / np.sqrt(2) * np.linalg.norm( + np.sqrt(P) - np.sqrt(Q)) + h2 = np.sqrt(1 - np.sum(np.sqrt(P * Q))) + assert check_equal(h1, h2) + + res_1 = Hellinger_dist_v1(P, Q) + res_2 = Hellinger_dist_v1(Q, P) + assert res_1 == res_2 == h1 + + res_1 = Hellinger_dist_v2(P, Q) + res_2 = Hellinger_dist_v2(Q, P) + assert res_1 == res_2 == h2 + + subr_dist(p, q) + subr_others(p, q) + subr_Wasserstein() + subr_Hellinger() + return diff --git a/pyfair/marble/test_metric.py b/pyfair/marble/test_metric.py new file mode 100644 index 0000000..72c014b --- /dev/null +++ b/pyfair/marble/test_metric.py @@ -0,0 +1,375 @@ +# coding: utf-8 + +import sklearn.metrics as metrics +import numpy as np +# import pdb +from pyfair.facil.utils_const import ( + check_equal, judge_transform_need, + synthetic_dat, synthetic_clf, synthetic_set) + + +from pyfair.marble.metric_perf import ( + # from hfm.metrics.excl_perf_bin import ( + # contingency_tab_bi, contingency_tab_mu, + calc_accuracy, calc_precision, calc_recall, + calc_f1_score, calc_f_beta) +from pyfair.facil.metric_cont import ( + contingency_tab_bi, contg_tab_mu_type3) +contingency_tab_mu = contg_tab_mu_type3 +del contg_tab_mu_type3 + + +# ========================== +# Metrics +# hfm/metrics/performance.py +# test_performance.py +# -------------------------- +# hfm/metrics/test_perf_bin.py + + +n = 201 # n, nc = 110, 3 +y = np.random.randint(2, size=n) +yp_hat = np.random.randint(2, size=n) +# z = np.random.randint(nc, size=n) +# z_hat = np.random.randint(nc, size=n) +vY = [1, 0] + + +def test_contingency_bi(): + tmp = metrics.confusion_matrix(y, yp_hat) + ans = metrics.confusion_matrix(y, yp_hat, labels=vY) + + assert tmp[0, 0] == ans[1, 1] + assert tmp[1, 1] == ans[0, 0] + assert tmp[0, 1] == ans[1, 0] + assert tmp[1, 0] == ans[0, 1] + + res = contingency_tab_bi(y, yp_hat, pos=vY[0]) + # pdb.set_trace() + tp, fp, fn, tn = res + res = (tp, fn, fp, tn) + assert np.equal(ans.ravel(), res).all() + + res = contingency_tab_mu(y, yp_hat, vY) + assert np.equal(ans, res).all() + return + + +def test_perf_bin(): + # pos = vY[0] + cm_bin = contingency_tab_bi(y, yp_hat, pos=vY[0]) + cm_non = contingency_tab_mu(y, yp_hat, vY) + cm = metrics.confusion_matrix(y, yp_hat, labels=vY) + tp, fp, fn, tn = cm_bin + cm_alt = (tp, fn, fp, tn) + assert np.equal(cm_alt, cm.ravel()).all() + # assert np.equal(cm_bin, cm.ravel()).all() + assert np.equal(cm_non, cm).all() + + ans_1 = metrics.accuracy_score(y, yp_hat) # float + ans_2 = metrics.precision_score(y, yp_hat) # np.float64 + ans_3 = metrics.recall_score(y, yp_hat) # np.float64 + ans_4 = metrics.f1_score(y, yp_hat) # np.float64 + ans_5 = metrics.fbeta_score(y, yp_hat, beta=2) # np.float64 + + res_1 = calc_accuracy(*cm_bin) + p = calc_precision(*cm_bin) + r = calc_recall(*cm_bin) + res_4 = calc_f1_score(*cm_bin) + res_5 = calc_f_beta(p, r, beta=2) + + assert ans_1 == res_1 + # if ans_2 != p: + # pdb.set_trace() + assert ans_2 == p + assert ans_3 == r + assert check_equal(ans_4, res_4) # assert ans_4==res_4 + assert check_equal(ans_5, res_5) # assert ans_5==res_5 + assert check_equal(ans_4, res_4, 10**8) + assert check_equal(ans_5, res_5, 10**8) + return + + +# ===================================== +# discriminative risk + +nb_spl, nb_feat, nb_lbl = 121, 7, 3 +X_trn, y_trn = synthetic_dat(nb_lbl, nb_spl, nb_feat) +y_hat, hx_qtb = synthetic_clf(y_trn, 2, err=.2, prng=None) +z_hat, hz_qtb = synthetic_clf(y_trn, 2, err=.3, prng=None) + + +def test_my_DR(): + # def excl_test_my_DR(): + # from fairml.discriminative_risk import ( + from pyfair.dr_hfm.discriminative_risk import ( + hat_L_fair, hat_L_loss, tandem_fair, tandem_loss, + hat_L_objt, tandem_objt, + cal_L_obj_v1, cal_L_obj_v2, # L_fair_MV_rho, L_loss_MV_rho, + # E_rho_L_fair_f, E_rho_L_loss_f, Erho_sup_L_fair, + # Erho_sup_L_loss, ED_Erho_I_fair, ED_Erho_I_loss, + perturb_numpy_ver, perturb_pandas_ver) # disturb_slightly) + + ans = hat_L_fair(y_hat, hx_qtb) + res = hat_L_loss(y_hat, y_trn) + err = float(1. - np.mean(np.equal(y_trn, y_hat))) + assert check_equal(err, res) + + ans = tandem_fair(y_hat, hx_qtb, z_hat, hz_qtb) + res = tandem_loss(y_hat, z_hat, y_trn) + lam = .5 + ans = hat_L_objt(y_hat, hx_qtb, y_trn, lam) + assert 0. <= ans <= 1. + ans = tandem_objt(y_hat, hx_qtb, z_hat, hz_qtb, y_trn, lam) + assert 0. <= ans <= 1. + + nb_cls = 5 + # tmp = synthetic_clf(y_trn, nb_cls * 2, err=.15) + # yt_hat, hx_hat = tmp[:nb_cls], tmp[-nb_cls:] + # tmp = synthetic_clf(y_trn, nb_cls * 2, err=.2) + # yt_hat_qtb, hx_hat_qtb = tmp[:nb_cls], tmp[nb_cls:] + yt_hat = synthetic_clf(y_trn, nb_cls, err=.15) + yt_hat_qtb = synthetic_clf(y_trn, nb_cls, err=.2) + coef = np.random.rand(nb_cls) + coef /= np.sum(coef) + coef = coef.tolist() + res = cal_L_obj_v2(yt_hat, yt_hat_qtb, y_trn, coef) + ans = cal_L_obj_v1(yt_hat, yt_hat_qtb, y_trn, coef) + assert check_equal(res, ans) # res == ans + import pandas as pd + + X = np.random.randint(5, size=(5, 4)) # .tolist() + # X_qtb = disturb_slightly(X, sen=[2], ratio=.5) + # X, X_qtb = np.array(X), np.array(X_qtb) + X_qtb = perturb_numpy_ver(X, [2, 1], [1, 1], ratio=.97) + assert np.all(np.equal(X[:, [0, 3]], X_qtb[:, [0, 3]])) + assert not np.equal(X, X_qtb).all() + + X = pd.DataFrame(X, columns=['A', 'B', 'C', 'D']) + X_qtb = perturb_pandas_ver(X, ['B', 'C'], [1, 0], ratio=.97) + tmp = (X[['A', 'D']] == X_qtb[['A', 'D']]).all() + assert tmp.to_numpy().all() + assert not (X == X_qtb).to_numpy().all() + + # pdb.set_trace() + return + + +# ===================================== +# metric_perf.py + + +# binary classification +_, z_trn = synthetic_dat(2, nb_spl, nb_feat) +z_hat, _ = synthetic_clf(z_trn, 2, err=.2, prng=None) + +y_trn, y_hat = np.array(y_trn), np.array(y_hat) +z_trn, z_hat = np.array(z_trn), np.array(z_hat) + + +def test_contingency(): + from pyfair.facil.metric_cont import ( + contingency_tab_bi, contg_tab_mu_type3) + + ans = metrics.cluster.contingency_matrix(y_trn, y_hat) + res = contg_tab_mu_type3(y_trn, y_hat, list(range(nb_lbl))) + assert np.all(np.equal(ans, res)) + ans = metrics.cluster.contingency_matrix(z_trn, z_hat) + res = contg_tab_mu_type3(z_trn, z_hat, [0, 1]) + assert np.all(np.equal(ans, res)) + + res = contingency_tab_bi(z_trn, z_hat, pos=1) + assert res[0] == ans[1, 1] + assert res[-1] == ans[0, 0] + assert ans[0, 1] == res[1] # fp + assert ans[1, 0] == res[2] # fn + return + + +def test_performance(): + from pyfair.facil.metric_cont import contingency_tab_bi + from pyfair.marble.metric_perf import ( + calc_accuracy, calc_precision, calc_recall, + calc_f1_score, calc_f_beta, calc_error_rate) + + mid = contingency_tab_bi(z_trn, z_hat, pos=1) + res = calc_accuracy(*mid) + assert res == metrics.accuracy_score(z_trn, z_hat) + assert check_equal(res, 1. - calc_error_rate(*mid)) + + p = calc_precision(*mid) + assert p == metrics.precision_score(z_trn, z_hat) + r = calc_recall(*mid) + assert r == metrics.recall_score(z_trn, z_hat) + res = calc_f1_score(*mid) + assert check_equal(res, metrics.f1_score(z_trn, z_hat)) + + res = calc_f_beta(p, r, beta=1) + assert check_equal( + res, metrics.fbeta_score(z_trn, z_hat, beta=1)) + res = calc_f_beta(p, r, beta=2) + assert check_equal( + res, metrics.fbeta_score(z_trn, z_hat, beta=2)) + # assert res == metrics.fbeta_score(z_trn, z_hat, beta=2) + # pdb.set_trace() + return + + +# ===================================== +# metric_fair.py + + +nb_spl, nb_lbl, nb_clf = 371, 3, 2 # nb_clf=7 +y_bin, _, _ = synthetic_set(2, nb_spl, nb_clf) +y_non, _, _ = synthetic_set(nb_lbl, nb_spl, nb_clf) +ht_bin = synthetic_clf(y_bin, nb_clf, err=.4) +ht_non = synthetic_clf(y_non, nb_clf, err=.4) + +idx_priv = np.random.randint(2, size=nb_spl, dtype='bool') +idx_Sjs = [idx_priv == 1, idx_priv == 0] +A_j = np.random.randint(3, size=nb_spl, dtype='int') +Sjs_bin = [idx_priv == 1, idx_priv != 1] +Sjs_non = [idx_priv == 1, idx_priv == 0, idx_priv == 2] + + +def test_group_fair(): + from pyfair.marble.metric_fair import ( + # unpriv_grp_one, unpriv_grp_two, unpriv_grp_thr, + unpriv_group_one, unpriv_group_two, unpriv_group_thr, + marginalised_np_mat, unpriv_unaware, unpriv_manual, + calc_fair_group, StatsParity_sing, # StatsParity_mult, + zero_division, alterGrps_sing, # alterGroups_pl, + extGrp1_DP_sing, extGrp2_EO_sing, extGrp3_PQP_sing, + # extGrp1_DP_pl, extGrp2_EO_pl, extGrp3_PQP_pl, + DPext_alterSP, # extDP_SPalter, + marginalised_pd_mat, prev_unpriv_manual, prev_unpriv_unaware, + prev_unpriv_grp_one, prev_unpriv_grp_two, prev_unpriv_grp_thr) + + def sub_extra(prev, z, ht, pos, Sjs_bin, Sjs_non): + res_bi, _ = StatsParity_sing(ht, Sjs_bin, pos) + res_mu, _ = StatsParity_sing(ht, Sjs_non, pos) + tmp_bi, _ = DPext_alterSP(z, ht, Sjs_bin, pos) + tmp_mu, _ = DPext_alterSP(z, ht, Sjs_non, pos) + assert check_equal(prev[0], [ # tmp_mu[-1][0], + tmp_bi[0], tmp_bi[1], tmp_bi[-1][0], tmp_mu[-1][0], ]) + + ans_1b, _ = extGrp1_DP_sing(z, ht, Sjs_bin, pos) + ans_1m, _ = extGrp1_DP_sing(z, ht, Sjs_non, pos) + ans_2b, _ = extGrp2_EO_sing(z, ht, Sjs_bin, pos) + ans_2m, _ = extGrp2_EO_sing(z, ht, Sjs_non, pos) + ans_3b, _ = extGrp3_PQP_sing(z, ht, Sjs_bin, pos) + ans_3m, _ = extGrp3_PQP_sing(z, ht, Sjs_non, pos) + ans_1b_alt, _ = alterGrps_sing(ans_1b[-1], Sjs_bin) + ans_1m_alt, _ = alterGrps_sing(ans_1m[-1], Sjs_non) + ans_2b_alt, _ = alterGrps_sing(ans_2b[-1], Sjs_bin) + ans_2m_alt, _ = alterGrps_sing(ans_2m[-1], Sjs_non) + ans_3b_alt, _ = alterGrps_sing(ans_3b[-1], Sjs_bin) + ans_3m_alt, _ = alterGrps_sing(ans_3m[-1], Sjs_non) + + assert ans_1b_alt[0] == ans_1b_alt[1] == prev[0] + assert ans_2b_alt[0] == ans_2b_alt[1] == prev[1] + assert ans_3b_alt[0] == ans_3b_alt[1] == prev[2] + assert ans_1m_alt[0] > ans_1m_alt[1] > prev[0] + assert ans_2m_alt[0] > ans_2m_alt[1] > prev[1] + assert ans_3m_alt[0] > ans_3m_alt[1] > prev[2] + assert ans_1m[0] > prev[0] > ans_1b[0] + fp2 = ans_2m[0] > prev[1] > ans_2b[0] + fp3 = ans_3m[0] > prev[2] > ans_3b[0] + # if not fp2 or not fp3: # not (fp2 and fp3): + # pdb.set_trace() + assert fp2 # assert ans_2m[0] > ans_2b[0] + assert fp3 # assert ans_3m[0] > ans_3b[0] + + def subroutine(y, hx, pos, A_j, Sjs_bin, Sjs_non): + vY, _ = judge_transform_need(y) # ,dY + vY = vY[:: -1] + z, ht = np.array(y), np.array(hx) # priv=Sjs_bin[0] + g1M, g0M = marginalised_np_mat(z, ht, pos, Sjs_non[0]) + _, _, c1, c0 = marginalised_pd_mat(z, ht, pos, Sjs_non[0]) + + just_one = unpriv_group_one(g1M, g0M) + just_two = unpriv_group_two(g1M, g0M) + just_thr = unpriv_group_thr(g1M, g0M) + just_zero = unpriv_unaware(g1M, g0M) + just_four = unpriv_manual(g1M, g0M) + assert check_equal(just_one, prev_unpriv_grp_one(c1, c0)) + assert check_equal(just_two, prev_unpriv_grp_two(c1, c0)) + assert check_equal(just_thr, prev_unpriv_grp_thr(c1, c0)) + assert check_equal(just_zero, prev_unpriv_unaware(c1, c0)) + assert check_equal(just_four, prev_unpriv_manual(c1, c0)) + + assert zero_division(0., 0.) == 0. + assert zero_division(1., 0.) == 10 + assert zero_division(1.5, 0.2) == 7.5 + ans = calc_fair_group(*just_one) + res = StatsParity_sing(ht, Sjs_bin, pos)[0] + tmp_1 = extGrp1_DP_sing(z, ht, Sjs_bin, pos)[0] + assert check_equal(res, tmp_1[:-1]) # tmp[: -1]) + res = StatsParity_sing(ht, Sjs_non, pos)[0] + tmp_2 = extGrp1_DP_sing(z, ht, Sjs_non, pos)[0] + assert check_equal(res, tmp_2[:-1]) # tmp[: -1]) + + # res = extDP_SPalter(z, ht, idx_Sjs, pos)[0] + tmp_1 = DPext_alterSP(z, ht, Sjs_bin, pos)[0] + tmp_2 = DPext_alterSP(z, ht, Sjs_non, pos)[0] + assert check_equal(ans, [ + tmp_2[-1][0], tmp_1[-1][0], tmp_1[0], tmp_1[1], ]) + + # pdb.set_trace() + prev = [calc_fair_group(*just_one), + calc_fair_group(*just_two), + calc_fair_group(*just_thr), + calc_fair_group(*just_zero), + calc_fair_group(*just_four)] + sub_extra(prev, z, ht, pos, Sjs_bin, Sjs_non) + # subroutine(y_bin, ht_bin[0], 1, idx_priv) + # subroutine(y_non, ht_non[0], 1, idx_priv) + subroutine(y_bin, ht_bin[0], 1, A_j, Sjs_bin, Sjs_non) + return + + +def test_group_prev(): + # from fairml.metrics.group_fair import ( + # from fairml.facils.fairness_group import ( + from pyfair.marble.metric_fair import ( + marginalised_contingency, marginalised_confusion, + prev_unpriv_grp_one, prev_unpriv_grp_two, + prev_unpriv_grp_thr, marginalised_pd_mat, + prev_unpriv_manual, prev_unpriv_unaware) + unpriv_group_one = prev_unpriv_grp_one + unpriv_group_two = prev_unpriv_grp_two + unpriv_group_thr = prev_unpriv_grp_thr + unpriv_unaware = prev_unpriv_unaware + unpriv_manual = prev_unpriv_manual + + def subroutine(y, pos, priv): + vY, dY = judge_transform_need(y) # + hx) + vY = vY[:: -1] + hx = np.random.randint(dY, size=nb_spl).tolist() + Cij = marginalised_contingency(y, hx, vY, dY) + Cm = marginalised_confusion(Cij, vY.index(pos)) + assert np.sum(Cm) == np.sum(Cij) == len(y) + + g1M, g0M, g1, g0 = marginalised_pd_mat(y, hx, pos, priv) + assert np.sum(g1M) == np.sum(g1) + assert np.sum(g0M) == np.sum(g0) + assert np.sum(g1M) + np.sum(g0M) == len(y) + + just_one = unpriv_group_one(g1, g0) + just_two = unpriv_group_two(g1, g0) + just_thr = unpriv_group_thr(g1, g0) + just_zero = unpriv_unaware(g1, g0) + just_four = unpriv_manual(g1, g0) + assert all([ + 0 <= i <= 1 for i in just_one + just_two + just_thr]) + assert all([0 <= i <= 1 for i in just_zero + just_four]) + # pdb.set_trace() + + # idx_priv = np.random.randint(2, size=nb_spl, dtype='bool') + subroutine(y_bin, 1, idx_priv) # ht_bin[0], + subroutine(y_non, 1, idx_priv) # ht_non[0], + return + + +# def test_my_DR(): +# return diff --git a/pyfair/preprocessing_dr.py b/pyfair/preprocessing_dr.py new file mode 100644 index 0000000..b80691e --- /dev/null +++ b/pyfair/preprocessing_dr.py @@ -0,0 +1,220 @@ +# coding: utf-8 + + +import numpy as np +# import pandas as pd + +from pyfair.facil.utils_saver import elegant_print +# from pyfair.facil.utils_const import DTY_BOL +from pyfair.datasets import process_above, process_below, DATASETS + + +__all__ = [ + 'adverse_perturb', 'adversarial', # 'disturbed_data', + 'transform_X_and_y', 'transform_unpriv_tag', + 'transform_perturbed', +] + + +# =========================== +# Discriminative risk + + +# disturb, perturb, turbulence +# ------------------------------------- + + +# ''' +# def find_group(dataset, processed_data): +# belongs_priv = dataset.find_where_belongs(processed_data) +# if len(belongs_priv) > 1: +# belongs_priv_with_joint = np.logical_and( +# belongs_priv[0], belongs_priv[1]).tolist() +# else: +# belongs_priv_with_joint = [] +# +# return belongs_priv, belongs_priv_with_joint +# ''' + + +def adverse_perturb(dataset, processed_data, ratio=.64): + sens_attrs = dataset.sensitive_attrs + priv_value = dataset.privileged_vals + unpriv_dict = [ + processed_data[sa].unique().tolist() for sa in sens_attrs] + for sa_list, pv in zip(unpriv_dict, priv_value): + sa_list.remove(pv) + + disturbed_data = processed_data.copy() + # num = len(disturbed_data) + dim = len(sens_attrs) # len(belongs_priv) + if dim > 1: + new_attr_name = '-'.join(sens_attrs) + # disturbed_data = disturbed_data.drop(columns=[new_attr_name]) + + for i, ti in enumerate(processed_data.index): + prng = np.random.rand(dim) + prng = prng <= ratio + + for j, sa, pv, un in zip(range( + dim), sens_attrs, priv_value, unpriv_dict): + # ''' + # if not prng[j]: + # continue + # if disturbed_data.iloc[i][sa] != pv: + # disturbed_data.loc[ti, sa] = pv + # else: + # disturbed_data.loc[ti, sa] = np.random.choice(un) + # ''' + if prng[j] and disturbed_data.iloc[i][sa] != pv: + disturbed_data.loc[ti, sa] = pv + elif prng[j]: # disturbed_data.iloc[i][sa]==pv + disturbed_data.loc[ti, sa] = np.random.choice(un) + + if dim > 1: + disturbed_data.loc[ti, new_attr_name] = '-'.join([ + disturbed_data.iloc[i][sa] for sa in sens_attrs]) + + return disturbed_data + + +# adversarial (not adversarialize), v. adverse +def adversarial(dataset, data_frame, ratio=.4, logger=None): + processed_data = process_above(dataset, data_frame, logger) + + # above: refer to `preprocess` + # ------------------------------ + disturbed_data = adverse_perturb(dataset, processed_data, ratio) + # ------------------------------ + # below: refer to `preprocess` + + processed_numerical, processed_binsensitive, \ + processed_categorical_binsensitive = process_below( + dataset, disturbed_data) + + return { + "original": disturbed_data, + "numerical": processed_numerical, + "numerical-binsensitive": processed_binsensitive, + "categorical-binsensitive": processed_categorical_binsensitive + } + + +def disturb_data(dataset_name, ratio=.6, logger=None): + for ds in DATASETS: + if ds.dataset_name != dataset_name: + continue + + elegant_print( + "--- Disturbing dataset: %s ---" % ds.dataset_name, logger) + + data_frame = ds.load_raw_dataset() + t = adversarial(ds, data_frame, ratio, logger) + + return t + raise ValueError("No dataset named `{}`.".format(dataset_name)) + + +def transform_X_and_y(dataset, processed_binsensitive): + # processed_numerical: pd.DataFrame + y = processed_binsensitive[dataset.label_name] + X = processed_binsensitive.drop(columns=dataset.label_name) + return X, y + + +# def transform_unpriv_tag(dataset, processed_data): +# # belongs_priv, belongs_priv_with_joint = find_group( +# # dataset, processed_data) +# +# belongs_priv = dataset.find_where_belongs(processed_data) +# if len(belongs_priv) > 1: +# # belongs_priv_with_joint = np.logical_and( +# # "" " +# # belongs_priv_with_joint = np.logical_or( +# # belongs_priv[0], belongs_priv[1] +# # ).astype('bool').tolist() # DTY_INT +# # # First submission (have modified) +# # "" " +# +# belongs_priv_with_joint = np.logical_and( +# belongs_priv[0], belongs_priv[1] +# ).astype(DTY_BOL).tolist() # DTY_INT +# +# else: +# belongs_priv_with_joint = [] +# +# # belongs_priv = [i.astype(DTY_INT) for i in belongs_priv] +# # belongs_priv = [i.astype(DTY_BOL) for i in belongs_priv] +# return belongs_priv, belongs_priv_with_joint + + +def transform_unpriv_tag(dataset, processed_data, + joint='and'): + assert joint in ( + 'and', 'or', 'both'), "Improper joint-parameter" + + belongs_priv = dataset.find_where_belongs(processed_data) + if len(belongs_priv) <= 1: # not >1 + belongs_priv_with_joint = [] + return belongs_priv, belongs_priv_with_joint + + # else: # if len(belongs_priv) > 1: .astype(DTY_BOL) + if joint == 'and': + belongs_priv_with_joint = np.logical_and( + belongs_priv[0], belongs_priv[1]).tolist() + elif joint == 'or': + belongs_priv_with_joint = np.logical_or( + belongs_priv[0], belongs_priv[1]).tolist() + elif joint == 'both': + belongs_priv_with_joint = [ + np.logical_and(belongs_priv[0], belongs_priv[1]), + np.logical_or(belongs_priv[0], belongs_priv[1]), + ] + return belongs_priv, belongs_priv_with_joint + + +# Deal with `data_frame` + +def transform_perturbed(X_org, X_qtb, y, index, belongs_priv, + belongs_priv_with_joint): + X_idx_org = X_org.iloc[index] + X_idx_qtb = X_qtb.iloc[index] + y_idx = y.iloc[index] + + not_unpriv = [t[index] for t in belongs_priv] + if not belongs_priv_with_joint: + joint_ = belongs_priv_with_joint + else: + joint_ = np.array( + belongs_priv_with_joint)[index].tolist() + + return X_idx_org, X_idx_qtb, y_idx, not_unpriv, joint_ + + +# def transform_cvs_item(split_idx_item): +# if len(split_idx_item) == 2: +# idx_trn, idx_tst = split_idx_item +# else: +# idx_trn, idx_val, idx_tst = split_idx_item +# idx_trn += idx_val +# # i_trn = i_trn + i_val +# return idx_trn, idx_tst + + +# def transform_cv_split_ith(X, y, idx_trn, idx_tst): +# # X, y: pd.DataFrame +# +# X_trn = X.iloc[idx_trn] +# y_trn = y.iloc[idx_trn] +# X_tst = X.iloc[idx_tst] +# y_tst = y.iloc[idx_tst] +# +# return X_trn, y_trn, X_tst, y_tst + + +# ------------------------------------- +# via manifold and its extension +# ------------------------------------- + + +# ------------------------------------- diff --git a/pyfair/preprocessing_hfm.py b/pyfair/preprocessing_hfm.py new file mode 100644 index 0000000..7773c63 --- /dev/null +++ b/pyfair/preprocessing_hfm.py @@ -0,0 +1,522 @@ +# coding: utf-8 + + +from copy import deepcopy +import time +import pandas as pd +import numpy as np + +# from pyfair.facil.utils_const import DTY_BOL +from pyfair.datasets import ( + process_above, make_class_attr_num, + make_sensitive_attrs_binary) +from pyfair.preprocessing_dr import adverse_perturb + + +__all__ = [ + 'binarized_data_set', 'transform_X_A_and_y', + # 'transform_unpriv_tag_prime', + 'transform_disturb_prime', + 'normalise_disturb_prime', 'normalise_disturb_whole', + + 'renewed_transform_disturb', 'renewed_normalise_disturb', + 'renewed_normalise_separate', + 'renewed_prep_and_adversarial', 'renewed_transform_X_A_and_y', + 'check_marginalised_indices', + 'process_addtl', 'process_addtl_multivalue', +] + + +# ------------------------------------- +# via manifold and its extension +# ------------------------------------- + + +# ------------------------------------- +# fmanf + + +def binarized_data_set(processed_binsensitive): + binarized_binsens = deepcopy(processed_binsensitive) + for u in binarized_binsens.columns: + if binarized_binsens[u].dtype == bool: + binarized_binsens[u] = binarized_binsens[u].astype('int') + return binarized_binsens + + +def transform_X_A_and_y(dataset, processed_binsensitive): + y = processed_binsensitive[dataset.label_name] + + sensitive_attrs = deepcopy(dataset.sensitive_attrs) + if len(sensitive_attrs) > 1: + new_attr_name = '-'.join(sensitive_attrs) + # sensitive_attrs += [new_attr_name] + sensitive_attrs.append(new_attr_name) + else: + new_attr_name = None + # A = processed_binsensitive[sensitive_attrs] + A = deepcopy(processed_binsensitive[sensitive_attrs]) + + X = deepcopy(processed_binsensitive) + X.drop(columns=dataset.label_name, inplace=True) + # X = processed_binsensitive.drop(columns=dataset.label_name) + X = X.drop(columns=sensitive_attrs) + return X, A, y, new_attr_name + + +# def transform_unpriv_tag_prime(dataset, processed_original, +# joint=('and', 'or', 'both')): +# assert joint in ['and', 'or', 'both'], "Improper joint-parameter" +# belongs_priv = dataset.find_where_belongs(processed_original) +# +# # if len(belongs_priv) > 1 and joint == 'and': +# # belongs_priv_with_joint = np.logical_and( +# # belongs_priv[0], +# # belongs_priv[1]).astype(DTY_BOL).tolist() +# # elif len(belongs_priv) > 1 and joint == 'or': +# # belongs_priv_with_joint = np.logical_or( +# # belongs_priv[0], +# # belongs_priv[1]).astype(DTY_BOL).tolist() +# # elif len(belongs_priv) > 1 and joint == 'both': +# # belongs_priv_with_joint = [ +# # np.logical_and(belongs_priv[ +# # 0], belongs_priv[1]).astype(DTY_BOL), +# # np.logical_or(belongs_priv[ +# # 0], belongs_priv[1]).astype(DTY_BOL), +# # ] +# # else: +# # belongs_priv_with_joint = [] +# +# if len(belongs_priv) == 1: # not >1 +# belongs_priv_with_joint = [] +# return belongs_priv, belongs_priv_with_joint +# # else: # if len(belongs_priv) > 1: +# if joint == 'and': +# belongs_priv_with_joint = np.logical_and( +# belongs_priv[0], +# belongs_priv[1]).astype(DTY_BOL).tolist() +# elif joint == 'or': +# belongs_priv_with_joint = np.logical_or( +# belongs_priv[0], +# belongs_priv[1]).astype(DTY_BOL).tolist() +# elif joint == 'both': +# belongs_priv_with_joint = [ +# np.logical_and(belongs_priv[ +# 0], belongs_priv[1]).astype(DTY_BOL), +# np.logical_or(belongs_priv[ +# 0], belongs_priv[1]).astype(DTY_BOL), +# ] +# return belongs_priv, belongs_priv_with_joint + + +def transform_disturb_prime(X, A, y, index, belongs_priv, + belongs_priv_with_joint): + """ X, y: np.ndarray or pd.DataFrame + belongs_priv : list, element is a np.ndarray + belongs_priv_with_joint: list, element is index + """ + if isinstance(X, pd.DataFrame): + X_idx = X.iloc[index] + A_idx = A if (A is None) else A.iloc[index] + y_idx = y.iloc[index] + elif isinstance(X, np.ndarray): + X_idx = X[index] + A_idx = A if (A is None) else A[index] + y_idx = y[index] + + not_unpriv = [t[index] for t in belongs_priv] + if not belongs_priv_with_joint: + joint_ = belongs_priv_with_joint + elif len(belongs_priv_with_joint) == 2: + joint_ = [t[index] for t in belongs_priv_with_joint] + else: # belongs_priv_with_joint is a list + joint_ = np.array(belongs_priv_with_joint)[index].tolist() + return X_idx, A_idx, y_idx, not_unpriv, joint_ + + +def normalise_disturb_prime(scaler, X_trn, A_trn, + X_val, A_val, X_tst, A_tst): + # all are np.ndarray (not pd.DataFrame) + _, nb_feat = X_trn.shape + XA_trn = np.concatenate([X_trn, A_trn], axis=1) + XA_tst = np.concatenate([X_tst, A_tst], axis=1) + XA_val = [] + + scaler = scaler.fit(XA_trn) + XA_trn = scaler.transform(XA_trn) + XA_tst = scaler.transform(XA_tst) + X_trn, A_trn = XA_trn[:, :nb_feat], XA_trn[:, nb_feat:] + X_tst, A_tst = XA_tst[:, :nb_feat], XA_tst[:, nb_feat:] + + if len(X_val) > 0: + XA_val = np.concatenate([X_val, A_val], axis=1) + XA_val = scaler.transform(XA_val) + X_val = XA_val[:, :nb_feat] + A_val = XA_val[:, nb_feat:] + return scaler, X_trn, A_trn, X_val, A_val, X_tst, A_tst + + +def normalise_disturb_whole(scaler, X_trn, A_trn): + _, nb_feat = X_trn.shape + X_and_A = np.concatenate([X_trn, A_trn], axis=1) + scaler = scaler.fit(X_and_A) + X_and_A = scaler.transform(X_and_A) + X_trn, A_trn = X_and_A[:, :nb_feat], X_and_A[:, nb_feat:] + return scaler, X_trn, A_trn + + +# Seperate/divide datasets +# +# with only one sensitive attribute +# multiple sensitive attributes + + +# def sens_attr_divided_set(A, new_attr_name=None): +# # `param` A (sens_attr): pd.DataFrame +# # `param` new_attr_name: str +# tmp_A = A[new_attr_name] if new_attr_name is not None else A +# tmp_A = tmp_A.values.reshape(-1) # np.ndarray of np.int64 +# ele_A = np.unique(tmp_A) # np.ndarray of np.int64 +# idx_A = {} +# for i in ele_A: +# idx_A[i] = tmp_A == i # np.ndarray of np.bool_ +# return ele_A, idx_A +# +# +# def group_of_disjoint_set(X, A, y, ele_i, idx_i): +# # for ele_i in ele_A: +# # idx_i = idx_A[ele_i] +# Si_X = X[idx_i] +# Si_A = A[idx_i] +# Si_y = y[idx_i] +# return Si_X, Si_A, Si_y +# +# +# def group_of_formulated(Si_X, Si_A, Si_y_fx): +# Ti_Xy = deepcopy(Si_X) +# Ti_Xy['label_name'] = Si_y_fx +# return Ti_Xy.values + + +# ------------------------------------- +# fmanf_ext + + +def check_bool_feat_columns(dataframe, categorical_feats): + # dataframe should be `processed_numerical` + numerical_feats = dataframe.columns.tolist() + boolean_feats = [] + for attr in categorical_feats: + boolean_feats.extend([ + i for i in numerical_feats if i.startswith(attr)]) + return boolean_feats + + +def make_bool_feat_numerical(dataframe, boolean_feats=None): + # dataframe should be `processed_numerical` + newframe = dataframe.copy() + for attr in boolean_feats: + if newframe[attr].dtype == 'bool': # DTY_BOL: + newframe[attr] = newframe[attr].replace({True: 1}) + newframe[attr] = newframe[attr].replace({False: 0}) + return newframe + + +def check_marginalised_group(dataframe, + sensitive_attrs, privileged_vals): + # dataframe should be `processed_data['original']` + marginalised_groups = [] + for attr, privileged in zip(sensitive_attrs, privileged_vals): + marginal_vals = np.unique(dataframe[attr].values).tolist() + marginal_vals.remove(privileged) + marginalised_groups.append(marginal_vals) + return marginalised_groups + + +def check_marginalised_indices(dataframe, + sensitive_attrs, privileged_vals, + marginalised_groups): + # dataframe should be `processed_data['original']` + marginal_indices = [] + for attr, privileged, marginal_vals in zip( + sensitive_attrs, privileged_vals, marginalised_groups): + tmp = (dataframe[attr] == privileged).values.reshape(-1) + att_indices = [tmp] + for _, marginal in enumerate(marginal_vals): + tmp = (dataframe[attr] == marginal).values.reshape(-1) + att_indices.append(tmp) + marginal_indices.append(att_indices) + return marginal_indices + + +def make_sens_attr_numerical(dataframe, + sensitive_attrs, privileged_vals, + marginalised_groups=None): + # dataframe could be `processed_data['categorical_binsensitive']` + # NO, dataframe should be `processed_data['original /numerical']` + newframe = dataframe.copy() + for attr, privileged, marginal_vals in zip( + sensitive_attrs, privileged_vals, marginalised_groups): + # replace privileged vals with 1 + newframe[attr] = newframe[attr].replace({privileged: 1}) + # replace all other vals with 0 + for i, marginal in enumerate(marginal_vals): + newframe[attr] = newframe[attr].replace({marginal: i + 2}) + return newframe + + +# additional: +# Add'l. Addt'l. Add. + +def process_addtl(dataset, processed_data): + sen_att_jt = dataset.get_sensitive_attrs_with_joint() + # sens_attr_with_joint + # sen_att_jt = sen_att_jt[-1] if len(sen_att_jt) > 1 else None + if len(sen_att_jt) > 1: + # processed_orig = processed_data.drop(columns=[sen_att_jt[-1]]) + sub_process_orig = processed_data.drop(columns=sen_att_jt[-1]) + else: + sub_process_orig = processed_data.copy() # original data + + # Create a one-hot encoding of the categorical variables. + sub_process_numerical = pd.get_dummies( + sub_process_orig, columns=dataset.categorical_feats) + # 只修改了 非敏感属性 的字符型 + + # Create a version of the numerical data for which the sensitve + # attribute is binary. + sensitive_attrs = dataset.sensitive_attrs + privileged_vals = dataset.get_privileged_group('') + sub_process_binsensitive = make_sensitive_attrs_binary( + sub_process_numerical, sensitive_attrs, privileged_vals) + # 既修改了 非敏感属性 的字符型，又修改了 敏感属性 的字符型（变成二类数值型） + + # Create a version of the categorical data for which the sensitive + # attributes is binary. + sub_process_categorical_binsensitive = make_sensitive_attrs_binary( + sub_process_orig, sensitive_attrs, privileged_vals) + # 只修改了 敏感属性 的字符型（变成二类数值型） + + # Make the class attribute numerical if it wasn't already (just + # for the bin sensitive version). + class_attr = dataset.label_name + pos_val = dataset.positive_label # FIXME + + sub_process_binsensitive = make_class_attr_num( + sub_process_binsensitive, class_attr, pos_val) + # 继续修改了 classification 的字符型（本来就是二分类问题），使之变成数值型 + + # + # ADDITIONALLY + + # return (processed_numerical, processed_categorical_binsensitive, + # processed_binsensitive) + # return (sub_process_orig, sub_process_numerical, sub_process_binsensitive, + # sub_process_categorical_binsensitive) + return { + "original": sub_process_orig, + "numerical": sub_process_numerical, + "numerical-binsensitive": sub_process_binsensitive, + "categorical-binsensitive": sub_process_categorical_binsensitive} + + +def process_addtl_multivalue(dataset, sub_process_orig): + # def process_addtl_multivalues(): + sensitive_attrs = dataset.get_sensitive_attrs_with_joint() + privileged_vals = dataset.get_privileged_group_with_joint("") + sensitive_attrs = sensitive_attrs[: 2] + privileged_vals = privileged_vals[: 2] + categorical_feats = dataset.categorical_feats + + binarized_data = pd.get_dummies( + sub_process_orig, + columns=categorical_feats + sensitive_attrs) + boolean_feats = check_bool_feat_columns( + binarized_data, categorical_feats + sensitive_attrs) + binarized_data = make_bool_feat_numerical(binarized_data, boolean_feats) + del boolean_feats + # 把 非敏感属性 和 敏感属性 的字符型 都转换成布尔值 再变成0/1数值型 + + # + # ADDITIONALLY + # START/BEGIN ADDTIONALLY + + super_proc_numerical = pd.get_dummies( + sub_process_orig, columns=dataset.categorical_feats) + boolean_feats = check_bool_feat_columns( + super_proc_numerical, dataset.categorical_feats) + super_proc_numerical = make_bool_feat_numerical( + super_proc_numerical, boolean_feats) + # 只修改了 非敏感属性 的字符型，变为布尔值后 再换成0/1数值 + + marginalised_groups = check_marginalised_group( + super_proc_numerical, sensitive_attrs[:2], privileged_vals[:2]) + super_proc_binsensitive = make_sens_attr_numerical( + super_proc_numerical, sensitive_attrs[:2], privileged_vals[:2], + marginalised_groups) + # 既修改了 非敏感属性 的字符型，又修改了 敏感属性 的字符型（变为多类数值型） + + super_proc_categorical_binsensitive = make_sens_attr_numerical( + sub_process_orig, sensitive_attrs[:2], privileged_vals[:2], + marginalised_groups) + # 只修改了 敏感属性 的字符型（变成多类数值型） + + class_attr = dataset.label_name + pos_val = dataset.positive_label # FIXME + super_proc_binsensitive = make_class_attr_num( + super_proc_binsensitive, class_attr, pos_val) + # 继续修改了 classification 的字符型（本来就是二分类问题），使之变成数值型 + + # END ADDITIONALLY + binarized_data = make_class_attr_num(binarized_data, class_attr, pos_val) + return { + # "original": sub_process_orig, + "numerical": super_proc_numerical, + "numerical-multisen": super_proc_binsensitive, + "categorical-multisen": super_proc_categorical_binsensitive, + # "numerical-multisensitive": super_proc_binsensitive, + # "categorical-multisensitive": super_proc_categorical_binsensitive, + "marginalised_groups": marginalised_groups, + # "binarized-numerical-sensitive": binarized_data} + "binarized-numerical-sen": binarized_data} + + +def renewed_prep_and_adversarial(dataset, data_frame, ratio=.7, + logger=None): + """ refers to: + - def preprocess(dataset, data_frame, logger=None): + - def adversarial(dataset, data_frame, ratio=.4, logger=None): + """ + + processed_data = process_above(dataset, data_frame, logger) + since = time.time() + disturbed_data = adverse_perturb(dataset, processed_data, ratio) + tim_elapsed = time.time() - since + del since + + preproc_bin = process_addtl(dataset, processed_data) + preproc_mu = process_addtl_multivalue(dataset, preproc_bin['original']) + perturb_bin = process_addtl(dataset, disturbed_data) + perturb_mu = process_addtl_multivalue(dataset, perturb_bin['original']) + + belongs_priv = dataset.find_where_belongs(processed_data) + if len(belongs_priv) > 1: + belongs_priv_with_joint = [ + np.logical_and(belongs_priv[0], belongs_priv[1]), + np.logical_or(belongs_priv[0], belongs_priv[1]), + ] # .astype(DTY_BOL) + belongs_priv.extend(belongs_priv_with_joint) + marginalised_groups = preproc_mu['marginalised_groups'] + # pdb.set_trace() + del preproc_mu['marginalised_groups'] + del perturb_mu['marginalised_groups'] + + return { + 'processed_data': processed_data, + 'disturbed_data': disturbed_data, + 'marginalised_groups': marginalised_groups, + 'belongs_priv': belongs_priv, + 'perturbation_tim_elapsed': tim_elapsed, + }, preproc_bin, preproc_mu, perturb_bin, perturb_mu + + +def renewed_transform_X_A_and_y(dataset, processed_binsensitive, + with_joint=False): + y = processed_binsensitive[dataset.label_name] + + sensitive_attrs = deepcopy(dataset.sensitive_attrs) + if with_joint and len(sensitive_attrs) > 1: + new_attr_name = '-'.join(sensitive_attrs) + sensitive_attrs.append(new_attr_name) + else: + new_attr_name = None + A = deepcopy(processed_binsensitive[sensitive_attrs]) + + X = deepcopy(processed_binsensitive) + X.drop(columns=dataset.label_name, inplace=True) + # X = processed_binsensitive.drop(columns=dataset.label_name) + X.drop(columns=sensitive_attrs, inplace=True) + return X, A, y, new_attr_name + + +def renewed_normalise_separate(X_A_trn, X_A_val, X_A_tst, + # saIndex=list()): + saIndex=tuple()): + nb_feat = X_A_trn.shape[1] + non_sa = list(range(nb_feat)) + for i in saIndex: + non_sa.remove(i) + X_trn, A_trn = X_A_trn[:, non_sa], X_A_trn[:, saIndex] + X_tst, A_tst = X_A_tst[:, non_sa], X_A_tst[:, saIndex] + if len(X_A_val) > 0: + X_val = X_A_val[:, non_sa] + A_val = X_A_val[:, saIndex] + else: + X_val, A_val = [], [] + return X_trn, A_trn, X_val, A_val, X_tst, A_tst + + +def renewed_normalise_disturb(scaler, X_A_trn, X_A_val, X_A_tst, + # saIndex=list(), trans_A=False): + saIndex=tuple(), trans_A=False): + # all are np.ndarray, not pd.DataFrame + scaler = scaler.fit(X_A_trn) + new_XA_trn = scaler.transform(X_A_trn) + new_XA_tst = scaler.transform(X_A_tst) + if len(X_A_val) > 0: + new_XA_val = scaler.transform(X_A_val) + else: + new_XA_val = [] + + if not trans_A: + for sa_idx in saIndex: + if len(X_A_val) > 0: + new_XA_val[:, sa_idx] = X_A_val[:, sa_idx] + new_XA_trn[:, sa_idx] = X_A_trn[:, sa_idx] + new_XA_tst[:, sa_idx] = X_A_tst[:, sa_idx] + + X_trn, A_trn, X_val, A_val, X_tst, A_tst = renewed_normalise_separate( + new_XA_trn, new_XA_val, new_XA_tst, saIndex=saIndex) + + return (scaler, new_XA_trn, new_XA_val, new_XA_tst, + X_trn, A_trn, X_val, A_val, X_tst, A_tst) + + +def renewed_transform_disturb(X, A, y, Aq, index, + marginal_indices, + # belongs_priv, + belongs_priv_with_joint): + """ X, A, y, Aq: np.ndarray or pd.DataFrame, where Aq may be None + marginal_indices : list, len(marginal_indices) == na + each element: for this sens attr, + index of belongs_priv (val#1), + index of `sen_att_val#2`, + index of `sen_att_val#3`, + belongs_priv_with_joint: list, len()= 0 or 2, joint_and/or + """ + + if isinstance(X, pd.DataFrame): + X_idx = X.iloc[index] + y_idx = y.iloc[index] + A_idx = A if (A is None) else A.iloc[index] + Aq_idx = Aq if (Aq is None) else Aq.iloc[index] + elif isinstance(X, np.ndarray): + X_idx = X[index] + y_idx = y[index] + A_idx = A if (A is None) else A[index] + Aq_idx = Aq if (Aq is None) else Aq[index] + + start_with_not_unpriv = [] + for marg_idx in marginal_indices: + tmp = [t[index] for t in marg_idx] + start_with_not_unpriv.append(tmp) + if not belongs_priv_with_joint: + joint_ = belongs_priv_with_joint + elif len(belongs_priv_with_joint) == 2: + joint_ = [t[index] for t in belongs_priv_with_joint] + else: + joint_ = np.array(belongs_priv_with_joint)[index].tolist() + return X_idx, A_idx, y_idx, Aq_idx, start_with_not_unpriv, joint_ + + +# ------------------------------------- diff --git a/reqs_py311.txt b/reqs_py311.txt new file mode 100644 index 0000000..54f3f2b --- /dev/null +++ b/reqs_py311.txt @@ -0,0 +1,12 @@ +numpy==2.2.6 +numba==0.61.2 +pathos==0.3.4 +pympler==1.1 +scikit-learn==1.7.1 +pandas==2.3.1 +pytest==8.4.1 +matplotlib==3.10.3 +seaborn==0.13.2 +openpyxl==3.1.5 +lightgbm==4.6.0 +fairgbm==0.9.14 diff --git a/requirements.txt b/requirements.txt index e6a5332..ad35352 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,12 @@ -numpy>=1.16.4 -scikit-learn>=0.19.1 -scipy -pathos -pympler \ No newline at end of file +numpy==1.24.4 +numba==0.58.1 +pathos==0.3.4 +pympler==1.1 +scikit-learn==1.3.2 +pandas==2.0.3 +pytest==8.3.5 +matplotlib==3.7.5 +seaborn==0.13.2 +openpyxl==3.1.5 +lightgbm==4.6.0 +fairgbm==0.9.14 diff --git a/setup.py b/setup.py index 89c7949..857241a 100644 --- a/setup.py +++ b/setup.py @@ -37,7 +37,7 @@ # There are some restrictions on what makes a valid project name # specification here: # https://packaging.python.org/specifications/core-metadata/#name - name='pyensemble', # Required + name='pyfair', # Required # Versions should comply with PEP 440: # https://www.python.org/dev/peps/pep-0440/ @@ -50,7 +50,7 @@ # This is a one-line description or tagline of what your project does. This # corresponds to the "Summary" metadata field: # https://packaging.python.org/specifications/core-metadata/#summary - description='A sample Python project for Ensemble Learning', # Optional + description='A sample Python project for Ensemble Learning and Fairness in Machine Learning', # Optional # This is an optional longer description of your project that represents # the body of text which users will see when they visit PyPI. @@ -78,7 +78,7 @@ # # This field corresponds to the "Home-Page" metadata field: # https://packaging.python.org/specifications/core-metadata/#home-page-optional - url='https://github.com/eustomaqua/PyEnsemble', # Optional + url='https://github.com/eustomaqua/PyFairness', # Optional # This should be your name or the name of the organization which owns the # project. @@ -109,9 +109,11 @@ # that you indicate whether you support Python 2, Python 3 or both. # These classifiers are *not* checked by 'pip install'. See instead # 'python_requires' below. - 'Programming Language :: Python :: 2.7', - 'Programming Language :: Python :: 3.5', - 'Programming Language :: Python :: 3.6', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.11', + # 'Programming Language :: Python :: 2.7', + # 'Programming Language :: Python :: 3.5', + # 'Programming Language :: Python :: 3.6', # OS "Operating System :: OS Independent", @@ -121,7 +123,7 @@ # project page. What does your project relate to? # # Note that this is a string of words separated by whitespace, not a list. - keywords='EnsembleLearning Diversity EnsemblePruning', # Optional + keywords='Fairness EnsembleLearning Diversity EnsemblePruning', # Optional # You can just specify package directories manually here if your project is # simple. Or you can use find_packages(). @@ -139,7 +141,8 @@ # and refuse to install the project if the version does not match. If you # do not support Python 2, you can simplify this to `>=3.5' or similar, see # https://packaging.python.org/guides/distributing-packages-using-setuptools/#python-requires - python_requires='>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4', + python_requires='>=3.6, !=3.7.*, <4', + # python_requires='>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4', # This field lists other packages that your project depends on to run. # Any package you put here will be installed by pip when your project is @@ -153,6 +156,8 @@ 'scipy', 'pathos', 'pympler', + 'numba', + 'pandas', ], # Optional # List additional groups of dependencies here (e.g., development @@ -167,7 +172,7 @@ # 'dev': ['check-manifest'], # 'test': ['coverage'], 'tests': [ - 'pytest>=4.4.0', + 'pytest>=8.3.5', 'flake8', 'pytest-xdist', 'pytest-cov', @@ -188,7 +193,7 @@ # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # # In this case, 'data_file' will be installed into '/my_data' - data_files=[('my_data', ['data/'])], # Optional + data_files=[('my_data', ['pyfair/data/'])], # Optional # To provide executable scripts, use entry points in preference to the # "scripts" keyword. Entry points provide cross-platform support and allow @@ -213,9 +218,9 @@ # maintainers, and where to support the project financially. The key is # what's used to render the link text on PyPI. project_urls={ # Optional - 'Bug Reports': 'https://github.com/eustomaqua/PyEnsemble/issues', + 'Bug Reports': 'https://github.com/eustomaqua/PyFairness/issues', # 'Funding': 'https://donate.pypi.org', # 'Say Thanks!': 'http://saythanks.io/to/example', - 'Source': 'https://github.com/eustomaqua/PyEnsemble/', + 'Source': 'https://github.com/eustomaqua/PyFairness/', }, ) diff --git a/.flake8 b/tests/.flake8 similarity index 100% rename from .flake8 rename to tests/.flake8 diff --git a/.travis.yml b/tests/.travis.yml similarity index 100% rename from .travis.yml rename to tests/.travis.yml diff --git a/tests/README.md b/tests/README.md new file mode 100644 index 0000000..71cc0c3 --- /dev/null +++ b/tests/README.md @@ -0,0 +1,10 @@ +# PyEnsemble + +[![Build Status](https://travis-ci.org/eustomaqua/PyEnsemble.svg?branch=master)](https://travis-ci.org/eustomaqua/PyEnsemble) +[![Coverage Status](https://coveralls.io/repos/github/eustomaqua/PyEnsemble/badge.svg?branch=master)](https://coveralls.io/github/eustomaqua/PyEnsemble?branch=master) +[![codecov](https://codecov.io/gh/eustomaqua/PyEnsemble/branch/master/graph/badge.svg)](https://codecov.io/gh/eustomaqua/PyEnsemble) +[![Codacy Badge](https://api.codacy.com/project/badge/Grade/2337de0ee40847ecbd99aac71d2561e4)](https://www.codacy.com/manual/eustomaqua/PyEnsemble?utm_source=github.com&utm_medium=referral&utm_content=eustomaqua/PyEnsemble&utm_campaign=Badge_Grade) + +This is a test library for **Ensemble Learning** methods, involving **Diversity** and **Ensemble Pruning** methods as well. + +This package could work well with *Python 2.7, Python 3.5,* and *Python 3.6* currently. \ No newline at end of file diff --git a/tests/ci.yaml b/tests/ci.yaml new file mode 100644 index 0000000..0182a12 --- /dev/null +++ b/tests/ci.yaml @@ -0,0 +1,32 @@ +jobs: + unit-test: + name: Run unit tests + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + with: + fetch-depth: 2 + - name: Set up Python 3.11 + uses: actions/setup-python@v3 + with: + python-version: 3.11 + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -r requirements.txt + - name: Test with pytest + run: | + # pytest --cov --junitxml=junit.xml + export CODECOV_TOKEN=c7609124-b53c-4019-a893-cec9f98cfe97 + pytest --cov --junitxml=junit.xml -o junit_family=legacy + Copy and paste the codecov/test-results-action here + # - name: Upload coverage to Codecov + # uses: codecov/codecov-action@v5 + # with: + # token: ${{ secrets.CODECOV_TOKEN }} + # - name: Upload test results to Codecov + # if: ${{ !cancelled() }} + # uses: codecov/test-results-action@v1 + # with: + # token: ${{ secrets.CODECOV_TOKEN }} \ No newline at end of file diff --git a/tests/classify/test_ensemble.py b/tests/classify/excl_test_ensemble.py similarity index 100% rename from tests/classify/test_ensemble.py rename to tests/classify/excl_test_ensemble.py diff --git a/tests/classify/test_voting.py b/tests/classify/excl_test_voting.py similarity index 100% rename from tests/classify/test_voting.py rename to tests/classify/excl_test_voting.py diff --git a/tests/diversity/test_nonpairwise.py b/tests/diversity/excl_test_nonpairwise.py similarity index 100% rename from tests/diversity/test_nonpairwise.py rename to tests/diversity/excl_test_nonpairwise.py diff --git a/tests/diversity/test_overall.py b/tests/diversity/excl_test_overall.py similarity index 100% rename from tests/diversity/test_overall.py rename to tests/diversity/excl_test_overall.py diff --git a/tests/diversity/test_pairwise.py b/tests/diversity/excl_test_pairwise.py similarity index 100% rename from tests/diversity/test_pairwise.py rename to tests/diversity/excl_test_pairwise.py diff --git a/tests/diversity/test_utils_diver.py b/tests/diversity/excl_test_utils_diver.py similarity index 100% rename from tests/diversity/test_utils_diver.py rename to tests/diversity/excl_test_utils_diver.py diff --git a/tests/diversity/utils_diver_test.py b/tests/diversity/utils_diver_test_excl.py similarity index 100% rename from tests/diversity/utils_diver_test.py rename to tests/diversity/utils_diver_test_excl.py diff --git a/tests/test_common.py b/tests/excl_test_common.py similarity index 100% rename from tests/test_common.py rename to tests/excl_test_common.py diff --git a/tests/test_import.py b/tests/excl_test_import.py similarity index 100% rename from tests/test_import.py rename to tests/excl_test_import.py diff --git a/tests/test_utils_const.py b/tests/excl_test_utils_const.py similarity index 100% rename from tests/test_utils_const.py rename to tests/excl_test_utils_const.py diff --git a/tests/pruning/test_composable.py b/tests/pruning/excl_test_composable.py similarity index 100% rename from tests/pruning/test_composable.py rename to tests/pruning/excl_test_composable.py diff --git a/tests/pruning/test_optimization.py b/tests/pruning/excl_test_optimization.py similarity index 100% rename from tests/pruning/test_optimization.py rename to tests/pruning/excl_test_optimization.py diff --git a/tests/pruning/test_overall.py b/tests/pruning/excl_test_overall.py similarity index 100% rename from tests/pruning/test_overall.py rename to tests/pruning/excl_test_overall.py diff --git a/tests/pruning/test_ranking.py b/tests/pruning/excl_test_ranking.py similarity index 100% rename from tests/pruning/test_ranking.py rename to tests/pruning/excl_test_ranking.py diff --git a/tests/pruning/test_utils_inPEP.py b/tests/pruning/excl_test_utils_inPEP.py similarity index 100% rename from tests/pruning/test_utils_inPEP.py rename to tests/pruning/excl_test_utils_inPEP.py diff --git a/tests/pruning/test_utils_prune.py b/tests/pruning/excl_test_utils_prune.py similarity index 100% rename from tests/pruning/test_utils_prune.py rename to tests/pruning/excl_test_utils_prune.py diff --git a/pytest.ini b/tests/pytest.ini similarity index 100% rename from pytest.ini rename to tests/pytest.ini diff --git a/tests/requirements.txt b/tests/requirements.txt new file mode 100644 index 0000000..e6a5332 --- /dev/null +++ b/tests/requirements.txt @@ -0,0 +1,5 @@ +numpy>=1.16.4 +scikit-learn>=0.19.1 +scipy +pathos +pympler \ No newline at end of file diff --git a/tests/setup.py b/tests/setup.py new file mode 100644 index 0000000..89c7949 --- /dev/null +++ b/tests/setup.py @@ -0,0 +1,221 @@ +# coding: utf8 +""" A setup tools based setup module. + +See: +https://packaging.python.org/guides/distributing-packages-using-setuptools/ +https://github.com/pypa/sampleproject +https://github.com/eustomaqua/PyEnsemble +""" + +# Always prefer setuptools over distutils +from setuptools import setup, find_packages +from os import path +# io.open is needed for projects that support Python 2.7 +# It ensures open() defaults to text mode with universal newlines, +# and accepts an argument to specify the text encoding +# Python 3 only projects can skip this import +from io import open + +here = path.abspath(path.dirname(__file__)) + +# Get the long description from the README file +with open(path.join(here, 'README.md'), encoding='utf-8') as f: + long_description = f.read() + +# Arguments marked as "Required" below must be included for upload to PyPI. +# Fields marked as "Optional" may be commented out. + +setup( + # This is the name of your project. The first time you publish this + # package, this name will be registered for you. It will determine how + # users can install this project, e.g.: + # + # $ pip install pyensemble + # + # And where it will live on PyPI: https://pypi.org/project/pyensemble/ + # + # There are some restrictions on what makes a valid project name + # specification here: + # https://packaging.python.org/specifications/core-metadata/#name + name='pyensemble', # Required + + # Versions should comply with PEP 440: + # https://www.python.org/dev/peps/pep-0440/ + # + # For a discussion on single-sourcing the version across setup.py and the + # project code, see + # https://packaging.python.org/en/latest/single_source_version.html + version='0.1.1', # Required + + # This is a one-line description or tagline of what your project does. This + # corresponds to the "Summary" metadata field: + # https://packaging.python.org/specifications/core-metadata/#summary + description='A sample Python project for Ensemble Learning', # Optional + + # This is an optional longer description of your project that represents + # the body of text which users will see when they visit PyPI. + # + # Often, this is the same as your README, so you can just read it in from + # that file directly (as we have already done above) + # + # This field corresponds to the "Description" metadata field: + # https://packaging.python.org/specifications/core-metadata/#description-optional + long_description=long_description, # Optional + + # Denotes that our long_description is in Markdown; valid values are + # text/plain, text/x-rst, and text/markdown + # + # Optional if long_description is written in reStructuredText (rst) but + # required for plain-text or Markdown; if unspecified, "applications should + # attempt to render [the long_description] as text/x-rst; charset=UTF-8 and + # fall back to text/plain if it is not valid rst" (see link below) + # + # This field corresponds to the "Description-Content-Type" metadata field: + # https://packaging.python.org/specifications/core-metadata/#description-content-type-optional + long_description_content_type='text/markdown', # Optional (see not above) + + # This should be a valid link to your project's main homepage. + # + # This field corresponds to the "Home-Page" metadata field: + # https://packaging.python.org/specifications/core-metadata/#home-page-optional + url='https://github.com/eustomaqua/PyEnsemble', # Optional + + # This should be your name or the name of the organization which owns the + # project. + author='Aqua Eustoma', # Optional + + # This should be a valid email address corresponding to the author listed + # above. + author_email='yjbian92@gmail.com', # Optional + + # Classifiers help users find your project by categorizing it. + # + # For a list of valid classifiers, see https://pypi.org/classifiers/ + classifiers=[ # Optional + # How mature is this project? Common values are + # 3 - Alpha + # 4 - Beta + # 5 - Production/Stable + 'Development Status :: 3 - Alpha', + + # Indicate who your project is intended for + 'Intended Audience :: Researchers and Developers who are interested in Ensemble Learning', + 'Topic :: Software Development :: Build Tools for Ensemble Learning', + + # Pick your license as you wish + # 'License :: OSI Approved :: MIT License', + + # Specify the Python versions you support here. In particular, ensure + # that you indicate whether you support Python 2, Python 3 or both. + # These classifiers are *not* checked by 'pip install'. See instead + # 'python_requires' below. + 'Programming Language :: Python :: 2.7', + 'Programming Language :: Python :: 3.5', + 'Programming Language :: Python :: 3.6', + + # OS + "Operating System :: OS Independent", + ], + + # This field adds keywords for your project which will appear on the + # project page. What does your project relate to? + # + # Note that this is a string of words separated by whitespace, not a list. + keywords='EnsembleLearning Diversity EnsemblePruning', # Optional + + # You can just specify package directories manually here if your project is + # simple. Or you can use find_packages(). + # + # Alternatively, if you just want to distribute a single Python file, use + # the `py_modules` argument instead as follows, which will expect a file + # called `my_module.py` to exist: + # + # py_modules=["my_module"], + # + packages=find_packages(exclude=['data', 'contrib', 'docs', 'examples', 'tests']), # Required + + # Specify which Python versions you support. In contrast to the + # 'Programming Language' classifiers above, 'pip install' will check this + # and refuse to install the project if the version does not match. If you + # do not support Python 2, you can simplify this to `>=3.5' or similar, see + # https://packaging.python.org/guides/distributing-packages-using-setuptools/#python-requires + python_requires='>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4', + + # This field lists other packages that your project depends on to run. + # Any package you put here will be installed by pip when your project is + # installed, so they must be valid existing projects. + # + # For an analysis of "install_requires" vs pip's requirements files see: + # https://packaging.python.org/en/latest/requirements.html + install_requires=[ + 'numpy', + 'scikit-learn', + 'scipy', + 'pathos', + 'pympler', + ], # Optional + + # List additional groups of dependencies here (e.g., development + # dependencies). Users will be able to install these using the "extras" + # syntax, for example: + # + # $ pip install pyensemble[dev] + # + # Similar to `install_requires` above, these must be valid existing + # projects. + extras_require={ # Optional + # 'dev': ['check-manifest'], + # 'test': ['coverage'], + 'tests': [ + 'pytest>=4.4.0', + 'flake8', + 'pytest-xdist', + 'pytest-cov', + ], + }, + + # If there are data files included in your packages that need to be + # installed, specify them here. + # + # If using Python 2.6 or earlier, then these have to be included in + # MANIFEST.in as well. + # package_data={ # Optional + # 'sample': ['package_data.dat'], + # }, + + # Although 'package_data' is the preferred approach, in some case you may + # need to place data files outside of your packages. See: + # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files + # + # In this case, 'data_file' will be installed into '/my_data' + data_files=[('my_data', ['data/'])], # Optional + + # To provide executable scripts, use entry points in preference to the + # "scripts" keyword. Entry points provide cross-platform support and allow + # `pip` to create the appropriate form of executable for the target + # platform. + # + # For example, the following would provide a command called `sample` which + # executes the function `main` from this package when invoked: + entry_points={ # Optional + 'console_scripts': [ + 'sample=sample:main', + ], + }, + + # List additional URLs that are relevant to your project as a dict. + # + # This field corresponds to the "Project-URL" metadata fields: + # https://packaging.python.org/specifications/core-metadata/#project-url-multiple-use + # + # Examples listed include a pattern for specifying where the package tracks + # issues, where the source is hosted, where to say thanks to the package + # maintainers, and where to support the project financially. The key is + # what's used to render the link text on PyPI. + project_urls={ # Optional + 'Bug Reports': 'https://github.com/eustomaqua/PyEnsemble/issues', + # 'Funding': 'https://donate.pypi.org', + # 'Say Thanks!': 'http://saythanks.io/to/example', + 'Source': 'https://github.com/eustomaqua/PyEnsemble/', + }, +) From 3d43db67160921ba1670d7c5cc4370b774c4194e Mon Sep 17 00:00:00 2001 From: eustomaqua Date: Sun, 27 Jul 2025 22:18:34 +0200 Subject: [PATCH 2/3] Re-initialization --- README.md | 4 +- docs/conf.py | 2 +- docs/index.rst | 6 +- docs/posts/quickstart.rst | 12 +- setup.py | 10 +- tests/.flake8 | 6 - tests/.travis.yml | 31 ---- tests/README.md | 10 - tests/__init__.py | 8 - tests/ci.yaml | 32 ---- tests/classify/__init__.py | 5 - tests/classify/excl_test_ensemble.py | 77 -------- tests/classify/excl_test_voting.py | 77 -------- tests/common.py | 27 --- tests/diversity/__init__.py | 5 - tests/diversity/excl_test_nonpairwise.py | 111 ------------ tests/diversity/excl_test_overall.py | 80 -------- tests/diversity/excl_test_pairwise.py | 104 ----------- tests/diversity/excl_test_utils_diver.py | 107 ----------- tests/diversity/utils_diver_test_excl.py | 103 ----------- tests/excl_test_common.py | 47 ----- tests/excl_test_import.py | 130 ------------- tests/excl_test_utils_const.py | 30 --- tests/pruning/__init__.py | 5 - tests/pruning/excl_test_composable.py | 72 -------- tests/pruning/excl_test_optimization.py | 81 --------- tests/pruning/excl_test_overall.py | 37 ---- tests/pruning/excl_test_ranking.py | 70 ------- tests/pruning/excl_test_utils_inPEP.py | 91 ---------- tests/pruning/excl_test_utils_prune.py | 20 -- tests/pytest.ini | 14 -- tests/requirements.txt | 5 - tests/setup.py | 221 ----------------------- 33 files changed, 17 insertions(+), 1623 deletions(-) delete mode 100644 tests/.flake8 delete mode 100644 tests/.travis.yml delete mode 100644 tests/README.md delete mode 100644 tests/__init__.py delete mode 100644 tests/ci.yaml delete mode 100644 tests/classify/__init__.py delete mode 100644 tests/classify/excl_test_ensemble.py delete mode 100644 tests/classify/excl_test_voting.py delete mode 100644 tests/common.py delete mode 100644 tests/diversity/__init__.py delete mode 100644 tests/diversity/excl_test_nonpairwise.py delete mode 100644 tests/diversity/excl_test_overall.py delete mode 100644 tests/diversity/excl_test_pairwise.py delete mode 100644 tests/diversity/excl_test_utils_diver.py delete mode 100644 tests/diversity/utils_diver_test_excl.py delete mode 100644 tests/excl_test_common.py delete mode 100644 tests/excl_test_import.py delete mode 100644 tests/excl_test_utils_const.py delete mode 100644 tests/pruning/__init__.py delete mode 100644 tests/pruning/excl_test_composable.py delete mode 100644 tests/pruning/excl_test_optimization.py delete mode 100644 tests/pruning/excl_test_overall.py delete mode 100644 tests/pruning/excl_test_ranking.py delete mode 100644 tests/pruning/excl_test_utils_inPEP.py delete mode 100644 tests/pruning/excl_test_utils_prune.py delete mode 100644 tests/pytest.ini delete mode 100644 tests/requirements.txt delete mode 100644 tests/setup.py diff --git a/README.md b/README.md index f2bfd8c..e6f092f 100644 --- a/README.md +++ b/README.md @@ -10,8 +10,8 @@ https://pyfairness.readthedocs.io/en/latest/ ![CircleCI](https://img.shields.io/circleci/build/github/eustomaqua/PyEnsemble/master) [![Documentation Status](https://readthedocs.org/projects/pyensemble/badge/?version=latest)](https://pyensemble.readthedocs.io/en/latest/?badge=latest) -[![Codacy Badge](https://app.codacy.com/project/badge/Coverage/bf14ce14d2df4412a91e80d94fee6931)](https://app.codacy.com/gh/eustomaqua/PyFairness/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage) -[![Codacy Badge](https://app.codacy.com/project/badge/Grade/bf14ce14d2df4412a91e80d94fee6931)](https://app.codacy.com/gh/eustomaqua/PyFairness/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) +[![Codacy Badge](https://app.codacy.com/project/badge/Coverage/2337de0ee40847ecbd99aac71d2561e4)](https://app.codacy.com/gh/eustomaqua/PyEnsemble/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage) +[![Codacy Badge](https://app.codacy.com/project/badge/Grade/2337de0ee40847ecbd99aac71d2561e4)](https://app.codacy.com/gh/eustomaqua/PyEnsemble/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade)